2024/10/26 18:12:14 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.9.5 (default, Jun 4 2021, 12:28:51) [GCC 7.5.0] CUDA available: True MUSA available: False numpy_random_seed: 568378114 GPU 0,1,2,3,4,5,6,7: NVIDIA L40S CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.8, V11.8.89 GCC: gcc (GCC) 7.3.1 20180303 (Red Hat 7.3.1-5) PyTorch: 2.1.2+cu118 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX512 - CUDA Runtime 11.8 - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_90,code=sm_90 - CuDNN 8.7 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-unused-private-field -Wno-aligned-allocation-unavailable -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.1.2, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.16.2+cu118 OpenCV: 4.9.0 MMEngine: 0.10.5 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: 568378114 Distributed launcher: pytorch Distributed training: True GPU number: 8 ------------------------------------------------------------ 2024/10/26 18:12:15 - mmengine - INFO - Config: auto_scale_lr = dict(base_batch_size=192, enable=False) backend_args = None bs_ratio = 1 custom_hooks = [ dict(type='NumClassCheckHook'), dict(interval=50, priority='VERY_LOW', type='CheckInvalidLossHook'), ] data_preprocessor = dict( bgr_to_rgb=True, mean=[ 123.675, 116.28, 103.53, ], pad_size_divisor=1, std=[ 58.395, 57.12, 57.375, ], type='DetDataPreprocessor') data_root = 'data/coco/' dataset_type = 'CocoDataset' default_hooks = dict( checkpoint=dict(interval=1, type='CheckpointHook'), logger=dict(interval=50, type='LoggerHook'), param_scheduler=dict(type='ParamSchedulerHook'), sampler_seed=dict(type='DistSamplerSeedHook'), timer=dict(type='IterTimerHook'), visualization=dict(type='DetVisualizationHook')) default_scope = 'mmdet' env_cfg = dict( cudnn_benchmark=True, dist_cfg=dict(backend='nccl'), mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) input_size = 320 launcher = 'pytorch' load_from = 'work_dirs/ssdlite_mobilemamba_B1_8gpu_2lr_coco/epoch_18.pth' log_level = 'INFO' log_processor = dict(by_epoch=True, type='LogProcessor', window_size=50) max_epochs = 120 model = dict( backbone=dict( depth=[ 2, 3, 2, ], distillation=False, down_ops=[ [ 'subsample', 2, ], [ 'subsample', 2, ], [ '', ], ], drop_path=0.03, embed_dim=[ 200, 376, 448, ], forward_type='v052d', frozen_stages=-1, global_ratio=[ 0.8, 0.7, 0.6, ], img_size=224, in_chans=3, kernels=[ 7, 5, 3, ], local_ratio=[ 0.2, 0.2, 0.3, ], norm_eval=True, num_classes=80, num_heads=[ 4, 4, 4, ], out_indices=( 1, 2, ), patch_size=16, pretrained= '../../weights/MobileMamba_B1/mobilemamba_b1.pth', ssm_ratio=2, stages=[ 's', 's', 's', ], sync_bn=False, type='MobileMamba', window_size=[ 7, 7, 7, ]), bbox_head=dict( act_cfg=dict(type='ReLU6'), anchor_generator=dict( max_sizes=[ 100, 150, 202, 253, 304, 320, ], min_sizes=[ 48, 100, 150, 202, 253, 304, ], ratios=[ [ 2, 3, ], [ 2, 3, ], [ 2, 3, ], [ 2, 3, ], [ 2, 3, ], [ 2, 3, ], ], scale_major=False, strides=[ 16, 32, 64, 107, 160, 320, ], type='SSDAnchorGenerator'), bbox_coder=dict( target_means=[ 0.0, 0.0, 0.0, 0.0, ], target_stds=[ 0.1, 0.1, 0.2, 0.2, ], type='DeltaXYWHBBoxCoder'), in_channels=( 200, 376, 512, 256, 256, 128, ), init_cfg=dict(layer='Conv2d', std=0.001, type='Normal'), norm_cfg=dict(eps=0.001, momentum=0.03, type='BN'), num_classes=80, type='SSDHead', use_depthwise=True), data_preprocessor=dict( bgr_to_rgb=True, mean=[ 123.675, 116.28, 103.53, ], pad_size_divisor=1, std=[ 58.395, 57.12, 57.375, ], type='DetDataPreprocessor'), neck=dict( act_cfg=dict(type='ReLU6'), in_channels=( 200, 376, ), init_cfg=dict(layer='Conv2d', std=0.03, type='TruncNormal'), l2_norm_scale=None, level_paddings=( 1, 1, 1, 1, ), level_strides=( 2, 2, 2, 2, ), norm_cfg=dict(eps=0.001, momentum=0.03, type='BN'), out_channels=( 200, 376, 512, 256, 256, 128, ), type='SSDNeck', use_depthwise=True), test_cfg=dict( max_per_img=200, min_bbox_size=0, nms=dict(iou_threshold=0.45, type='nms'), nms_pre=1000, score_thr=0.02), train_cfg=dict( allowed_border=-1, assigner=dict( gt_max_assign_all=False, ignore_iof_thr=-1, min_pos_iou=0.0, neg_iou_thr=0.5, pos_iou_thr=0.5, type='MaxIoUAssigner'), debug=False, neg_pos_ratio=3, pos_weight=-1, sampler=dict(type='PseudoSampler'), smoothl1_beta=1.0), type='SingleStageDetector') optim_wrapper = dict( clip_grad=dict(max_norm=0.1, norm_type=2), optimizer=dict( betas=( 0.9, 0.999, ), lr=0.0024000000000000002, type='AdamW', weight_decay=0.05), paramwise_cfg=dict( custom_keys=dict( absolute_pos_embed=dict(decay_mult=0.0), norm=dict(decay_mult=0.0), relative_position_bias_table=dict(decay_mult=0.0))), type='OptimWrapper') param_scheduler = [ dict( begin=0, by_epoch=False, end=500, start_factor=1e-05, type='LinearLR'), dict( T_max=60, begin=60, by_epoch=True, end=120, eta_min=0, type='CosineAnnealingLR'), ] ratio = 1 resume = True test_cfg = dict(type='TestLoop') test_dataloader = dict( batch_size=8, dataset=dict( ann_file='annotations/instances_val2017.json', backend_args=None, data_prefix=dict(img='val2017/'), data_root='data/coco/', pipeline=[ dict(type='LoadImageFromFile'), dict(keep_ratio=False, scale=( 320, 320, ), type='Resize'), dict(type='LoadAnnotations', with_bbox=True), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', ), type='PackDetInputs'), ], test_mode=True, type='CocoDataset'), drop_last=False, num_workers=2, persistent_workers=True, sampler=dict(shuffle=False, type='DefaultSampler')) test_evaluator = dict( ann_file='data/coco/annotations/instances_val2017.json', backend_args=None, format_only=False, metric='bbox', type='CocoMetric') test_pipeline = [ dict(type='LoadImageFromFile'), dict(keep_ratio=False, scale=( 320, 320, ), type='Resize'), dict(type='LoadAnnotations', with_bbox=True), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', ), type='PackDetInputs'), ] train_cfg = dict(max_epochs=120, type='EpochBasedTrainLoop', val_interval=5) train_dataloader = dict( batch_sampler=None, batch_size=24, dataset=dict( dataset=dict( ann_file='annotations/instances_train2017.json', data_prefix=dict(img='train2017/'), data_root='data/coco/', filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( mean=[ 123.675, 116.28, 103.53, ], ratio_range=( 1, 4, ), to_rgb=True, type='Expand'), dict( min_crop_size=0.3, min_ious=( 0.1, 0.3, 0.5, 0.7, 0.9, ), type='MinIoURandomCrop'), dict(keep_ratio=False, scale=( 320, 320, ), type='Resize'), dict(prob=0.5, type='RandomFlip'), dict( brightness_delta=32, contrast_range=( 0.5, 1.5, ), hue_delta=18, saturation_range=( 0.5, 1.5, ), type='PhotoMetricDistortion'), dict(type='PackDetInputs'), ], type='CocoDataset'), times=5, type='RepeatDataset'), num_workers=12, persistent_workers=True, sampler=dict(shuffle=True, type='DefaultSampler')) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( mean=[ 123.675, 116.28, 103.53, ], ratio_range=( 1, 4, ), to_rgb=True, type='Expand'), dict( min_crop_size=0.3, min_ious=( 0.1, 0.3, 0.5, 0.7, 0.9, ), type='MinIoURandomCrop'), dict(keep_ratio=False, scale=( 320, 320, ), type='Resize'), dict(prob=0.5, type='RandomFlip'), dict( brightness_delta=32, contrast_range=( 0.5, 1.5, ), hue_delta=18, saturation_range=( 0.5, 1.5, ), type='PhotoMetricDistortion'), dict(type='PackDetInputs'), ] val_cfg = dict(type='ValLoop') val_dataloader = dict( batch_size=8, dataset=dict( ann_file='annotations/instances_val2017.json', backend_args=None, data_prefix=dict(img='val2017/'), data_root='data/coco/', pipeline=[ dict(type='LoadImageFromFile'), dict(keep_ratio=False, scale=( 320, 320, ), type='Resize'), dict(type='LoadAnnotations', with_bbox=True), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', ), type='PackDetInputs'), ], test_mode=True, type='CocoDataset'), drop_last=False, num_workers=2, persistent_workers=True, sampler=dict(shuffle=False, type='DefaultSampler')) val_evaluator = dict( ann_file='data/coco/annotations/instances_val2017.json', backend_args=None, format_only=False, metric='bbox', type='CocoMetric') vis_backends = [ dict(type='LocalVisBackend'), ] visualizer = dict( name='visualizer', type='DetLocalVisualizer', vis_backends=[ dict(type='LocalVisBackend'), ]) work_dir = './work_dirs/ssdlite_mobilemamba_B1_8gpu_2lr_coco' 2024/10/26 18:12:44 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook (NORMAL ) NumClassCheckHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook (VERY_LOW ) CheckInvalidLossHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val: (VERY_HIGH ) RuntimeInfoHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook (NORMAL ) NumClassCheckHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) DetVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_val: (VERY_HIGH ) RuntimeInfoHook -------------------- after_train: (VERY_HIGH ) RuntimeInfoHook (VERY_LOW ) CheckpointHook -------------------- before_test: (VERY_HIGH ) RuntimeInfoHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) DetVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_test: (VERY_HIGH ) RuntimeInfoHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks1.0.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks1.0.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks1.1.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks1.1.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks2.3.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks2.3.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks2.4.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks2.4.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks2.5.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks2.5.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 2024/10/26 18:13:06 - mmengine - INFO - paramwise_options -- backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks3.3.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False 2024/10/26 18:13:06 - mmengine - WARNING - backbone.blocks3.3.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 2024/10/26 18:13:07 - mmengine - WARNING - backbone.blocks3.4.mixer.m.attn.global_op.wt_filter is skipped since its requires_grad=False 2024/10/26 18:13:07 - mmengine - WARNING - backbone.blocks3.4.mixer.m.attn.global_op.iwt_filter is skipped since its requires_grad=False 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.weight:lr=0.0024000000000000002 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.weight:weight_decay=0.0 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.weight:decay_mult=0.0 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.bias:lr=0.0024000000000000002 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.bias:weight_decay=0.0 2024/10/26 18:13:07 - mmengine - INFO - paramwise_options -- backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.bias:decay_mult=0.0 Name of parameter - Initialization information backbone.patch_embed.0.c.weight - torch.Size([25, 3, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.patch_embed.0.bn.weight - torch.Size([25]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.patch_embed.0.bn.bias - torch.Size([25]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.patch_embed.2.c.weight - torch.Size([50, 25, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.patch_embed.2.bn.weight - torch.Size([50]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.patch_embed.2.bn.bias - torch.Size([50]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.patch_embed.4.c.weight - torch.Size([100, 50, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.patch_embed.4.bn.weight - torch.Size([100]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.patch_embed.4.bn.bias - torch.Size([100]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.patch_embed.6.c.weight - torch.Size([200, 100, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.patch_embed.6.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.patch_embed.6.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.dw0.m.c.weight - torch.Size([200, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.dw0.m.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.dw0.m.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn0.m.pw1.c.weight - torch.Size([400, 200, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn0.m.pw1.bn.weight - torch.Size([400]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn0.m.pw1.bn.bias - torch.Size([400]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn0.m.pw2.c.weight - torch.Size([200, 400, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn0.m.pw2.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn0.m.pw2.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([40, 1, 7, 7]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.local_op.bn1.weight - torch.Size([40]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.local_op.bn1.bias - torch.Size([40]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([40, 1, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.local_op.bn2.weight - torch.Size([40]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.local_op.bn2.bias - torch.Size([40]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.wt_filter - torch.Size([640, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.iwt_filter - torch.Size([640, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 12, 320]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.Ds - torch.Size([640]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([640, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 320, 10]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 320]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([320]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([640, 160, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([640]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([320, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([160, 320, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([160]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 160, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([640, 1, 7, 7]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 640, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.proj.1.c.weight - torch.Size([200, 200, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.proj.1.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.mixer.m.attn.proj.1.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.dw1.m.c.weight - torch.Size([200, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.dw1.m.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.dw1.m.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn1.m.pw1.c.weight - torch.Size([400, 200, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn1.m.pw1.bn.weight - torch.Size([400]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn1.m.pw1.bn.bias - torch.Size([400]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn1.m.pw2.c.weight - torch.Size([200, 400, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn1.m.pw2.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.0.ffn1.m.pw2.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.dw0.m.c.weight - torch.Size([200, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.dw0.m.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.dw0.m.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn0.m.pw1.c.weight - torch.Size([400, 200, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn0.m.pw1.bn.weight - torch.Size([400]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn0.m.pw1.bn.bias - torch.Size([400]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn0.m.pw2.c.weight - torch.Size([200, 400, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn0.m.pw2.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn0.m.pw2.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([40, 1, 7, 7]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.local_op.bn1.weight - torch.Size([40]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.local_op.bn1.bias - torch.Size([40]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([40, 1, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.local_op.bn2.weight - torch.Size([40]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.local_op.bn2.bias - torch.Size([40]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.wt_filter - torch.Size([640, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.iwt_filter - torch.Size([640, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 12, 320]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.Ds - torch.Size([640]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([640, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 320, 10]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 320]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([320]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([640, 160, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([640]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([320, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([320]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([160, 320, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([160]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([160]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 160, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([640, 1, 7, 7]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 640, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.proj.1.c.weight - torch.Size([200, 200, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.proj.1.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.mixer.m.attn.proj.1.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.dw1.m.c.weight - torch.Size([200, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.dw1.m.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.dw1.m.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn1.m.pw1.c.weight - torch.Size([400, 200, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn1.m.pw1.bn.weight - torch.Size([400]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn1.m.pw1.bn.bias - torch.Size([400]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn1.m.pw2.c.weight - torch.Size([200, 400, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn1.m.pw2.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks1.1.ffn1.m.pw2.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.0.0.m.c.weight - torch.Size([200, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.0.0.m.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.0.0.m.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.0.1.m.pw1.c.weight - torch.Size([400, 200, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.0.1.m.pw1.bn.weight - torch.Size([400]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.0.1.m.pw1.bn.bias - torch.Size([400]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.0.1.m.pw2.c.weight - torch.Size([200, 400, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.0.1.m.pw2.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.0.1.m.pw2.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.conv1.c.weight - torch.Size([800, 200, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.conv1.bn.weight - torch.Size([800]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.conv1.bn.bias - torch.Size([800]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.conv2.c.weight - torch.Size([800, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.conv2.bn.weight - torch.Size([800]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.conv2.bn.bias - torch.Size([800]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.se.fc1.weight - torch.Size([200, 800, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.se.fc1.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.se.fc2.weight - torch.Size([800, 200, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.se.fc2.bias - torch.Size([800]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.conv3.c.weight - torch.Size([376, 800, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.conv3.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.1.conv3.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.2.0.m.c.weight - torch.Size([376, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.2.0.m.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.2.0.m.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.2.1.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.2.1.m.pw1.bn.weight - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.2.1.m.pw1.bn.bias - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.2.1.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.2.1.m.pw2.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.2.1.m.pw2.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.dw0.m.c.weight - torch.Size([376, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.dw0.m.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.dw0.m.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn0.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn0.m.pw1.bn.weight - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn0.m.pw1.bn.bias - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn0.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn0.m.pw2.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn0.m.pw2.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([75, 1, 5, 5]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.local_op.bn1.weight - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.local_op.bn1.bias - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([75, 1, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.local_op.bn2.weight - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.local_op.bn2.bias - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.wt_filter - torch.Size([1024, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.iwt_filter - torch.Size([1024, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 18, 512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.Ds - torch.Size([1024]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([1024, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 512, 16]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([512, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([256, 512, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 256, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([1024, 1, 5, 5]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 1024, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.proj.1.c.weight - torch.Size([376, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.proj.1.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.mixer.m.attn.proj.1.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.dw1.m.c.weight - torch.Size([376, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.dw1.m.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.dw1.m.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn1.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn1.m.pw1.bn.weight - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn1.m.pw1.bn.bias - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn1.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn1.m.pw2.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.3.ffn1.m.pw2.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.dw0.m.c.weight - torch.Size([376, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.dw0.m.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.dw0.m.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn0.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn0.m.pw1.bn.weight - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn0.m.pw1.bn.bias - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn0.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn0.m.pw2.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn0.m.pw2.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([75, 1, 5, 5]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.local_op.bn1.weight - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.local_op.bn1.bias - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([75, 1, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.local_op.bn2.weight - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.local_op.bn2.bias - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.wt_filter - torch.Size([1024, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.iwt_filter - torch.Size([1024, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 18, 512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.Ds - torch.Size([1024]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([1024, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 512, 16]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([512, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([256, 512, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 256, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([1024, 1, 5, 5]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 1024, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.proj.1.c.weight - torch.Size([376, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.proj.1.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.mixer.m.attn.proj.1.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.dw1.m.c.weight - torch.Size([376, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.dw1.m.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.dw1.m.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn1.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn1.m.pw1.bn.weight - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn1.m.pw1.bn.bias - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn1.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn1.m.pw2.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.4.ffn1.m.pw2.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.dw0.m.c.weight - torch.Size([376, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.dw0.m.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.dw0.m.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn0.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn0.m.pw1.bn.weight - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn0.m.pw1.bn.bias - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn0.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn0.m.pw2.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn0.m.pw2.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([75, 1, 5, 5]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.local_op.bn1.weight - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.local_op.bn1.bias - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([75, 1, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.local_op.bn2.weight - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.local_op.bn2.bias - torch.Size([75]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.wt_filter - torch.Size([1024, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.iwt_filter - torch.Size([1024, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 18, 512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.Ds - torch.Size([1024]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([1024, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 512, 16]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([512, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([256, 512, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 256, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([1024, 1, 5, 5]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 1024, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.proj.1.c.weight - torch.Size([376, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.proj.1.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.mixer.m.attn.proj.1.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.dw1.m.c.weight - torch.Size([376, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.dw1.m.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.dw1.m.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn1.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn1.m.pw1.bn.weight - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn1.m.pw1.bn.bias - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn1.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn1.m.pw2.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks2.5.ffn1.m.pw2.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.0.0.m.c.weight - torch.Size([376, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.0.0.m.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.0.0.m.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.0.1.m.pw1.c.weight - torch.Size([752, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.0.1.m.pw1.bn.weight - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.0.1.m.pw1.bn.bias - torch.Size([752]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.0.1.m.pw2.c.weight - torch.Size([376, 752, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.0.1.m.pw2.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.0.1.m.pw2.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.conv1.c.weight - torch.Size([1504, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.conv1.bn.weight - torch.Size([1504]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.conv1.bn.bias - torch.Size([1504]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.conv2.c.weight - torch.Size([1504, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.conv2.bn.weight - torch.Size([1504]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.conv2.bn.bias - torch.Size([1504]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.se.fc1.weight - torch.Size([376, 1504, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.se.fc1.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.se.fc2.weight - torch.Size([1504, 376, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.se.fc2.bias - torch.Size([1504]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.conv3.c.weight - torch.Size([448, 1504, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.conv3.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.1.conv3.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.2.0.m.c.weight - torch.Size([448, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.2.0.m.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.2.0.m.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.2.1.m.pw1.c.weight - torch.Size([896, 448, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.2.1.m.pw1.bn.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.2.1.m.pw1.bn.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.2.1.m.pw2.c.weight - torch.Size([448, 896, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.2.1.m.pw2.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.2.1.m.pw2.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.dw0.m.c.weight - torch.Size([448, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.dw0.m.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.dw0.m.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn0.m.pw1.c.weight - torch.Size([896, 448, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn0.m.pw1.bn.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn0.m.pw1.bn.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn0.m.pw2.c.weight - torch.Size([448, 896, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn0.m.pw2.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn0.m.pw2.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([134, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.local_op.bn1.weight - torch.Size([134]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.local_op.bn1.bias - torch.Size([134]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([134, 1, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.local_op.bn2.weight - torch.Size([134]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.local_op.bn2.bias - torch.Size([134]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.wt_filter - torch.Size([1088, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.iwt_filter - torch.Size([1088, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 19, 544]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.Ds - torch.Size([1088]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([1088, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 544, 17]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 544]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([544]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([544]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([1088, 272, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([1088]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([1088]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([544, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([544]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([272, 544, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([272]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([272]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 272, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([1088, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 1088, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.proj.1.c.weight - torch.Size([448, 448, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.proj.1.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.mixer.m.attn.proj.1.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.dw1.m.c.weight - torch.Size([448, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.dw1.m.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.dw1.m.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn1.m.pw1.c.weight - torch.Size([896, 448, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn1.m.pw1.bn.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn1.m.pw1.bn.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn1.m.pw2.c.weight - torch.Size([448, 896, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn1.m.pw2.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.3.ffn1.m.pw2.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.dw0.m.c.weight - torch.Size([448, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.dw0.m.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.dw0.m.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn0.m.pw1.c.weight - torch.Size([896, 448, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn0.m.pw1.bn.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn0.m.pw1.bn.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn0.m.pw2.c.weight - torch.Size([448, 896, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn0.m.pw2.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn0.m.pw2.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.local_op.dwconv3x3.weight - torch.Size([134, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.local_op.bn1.weight - torch.Size([134]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.local_op.bn1.bias - torch.Size([134]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.local_op.dwconv1x1.weight - torch.Size([134, 1, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.local_op.bn2.weight - torch.Size([134]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.local_op.bn2.bias - torch.Size([134]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.wt_filter - torch.Size([1088, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.iwt_filter - torch.Size([1088, 1, 2, 2]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.x_proj_weight - torch.Size([2, 19, 544]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.Ds - torch.Size([1088]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.A_logs - torch.Size([1088, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.dt_projs_weight - torch.Size([2, 544, 17]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.dt_projs_bias - torch.Size([2, 544]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.weight - torch.Size([544]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_norm.bias - torch.Size([544]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.in_proj.c.weight - torch.Size([1088, 272, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.in_proj.bn.weight - torch.Size([1088]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.in_proj.bn.bias - torch.Size([1088]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.conv2d.weight - torch.Size([544, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.conv2d.bias - torch.Size([544]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_proj.c.weight - torch.Size([272, 544, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_proj.bn.weight - torch.Size([272]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.global_atten.out_proj.bn.bias - torch.Size([272]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.base_scale.weight - torch.Size([1, 272, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.wavelet_convs.0.weight - torch.Size([1088, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.global_op.wavelet_scale.0.weight - torch.Size([1, 1088, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.proj.1.c.weight - torch.Size([448, 448, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.proj.1.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.mixer.m.attn.proj.1.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.dw1.m.c.weight - torch.Size([448, 1, 3, 3]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.dw1.m.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.dw1.m.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn1.m.pw1.c.weight - torch.Size([896, 448, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn1.m.pw1.bn.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn1.m.pw1.bn.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn1.m.pw2.c.weight - torch.Size([448, 896, 1, 1]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn1.m.pw2.bn.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector backbone.blocks3.4.ffn1.m.pw2.bn.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.0.0.conv.weight - torch.Size([256, 376, 1, 1]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.0.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.0.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.0.1.depthwise_conv.conv.weight - torch.Size([256, 1, 3, 3]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.0.1.depthwise_conv.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.0.1.depthwise_conv.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.0.1.pointwise_conv.conv.weight - torch.Size([512, 256, 1, 1]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.0.1.pointwise_conv.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.0.1.pointwise_conv.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.1.0.conv.weight - torch.Size([128, 512, 1, 1]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.1.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.1.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.1.1.depthwise_conv.conv.weight - torch.Size([128, 1, 3, 3]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.1.1.depthwise_conv.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.1.1.depthwise_conv.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.1.1.pointwise_conv.conv.weight - torch.Size([256, 128, 1, 1]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.1.1.pointwise_conv.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.1.1.pointwise_conv.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.2.0.conv.weight - torch.Size([128, 256, 1, 1]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.2.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.2.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.2.1.depthwise_conv.conv.weight - torch.Size([128, 1, 3, 3]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.2.1.depthwise_conv.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.2.1.depthwise_conv.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.2.1.pointwise_conv.conv.weight - torch.Size([256, 128, 1, 1]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.2.1.pointwise_conv.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.2.1.pointwise_conv.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.3.0.conv.weight - torch.Size([64, 256, 1, 1]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.3.0.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.3.0.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.3.1.depthwise_conv.conv.weight - torch.Size([64, 1, 3, 3]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.3.1.depthwise_conv.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.3.1.depthwise_conv.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.3.1.pointwise_conv.conv.weight - torch.Size([128, 64, 1, 1]): TruncNormalInit: a=-2, b=2, mean=0, std=0.03, bias=0 neck.extra_layers.3.1.pointwise_conv.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector neck.extra_layers.3.1.pointwise_conv.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.0.0.conv.weight - torch.Size([200, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.0.0.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.0.0.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.0.1.weight - torch.Size([486, 200, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.0.1.bias - torch.Size([486]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.1.0.conv.weight - torch.Size([376, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.1.0.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.1.0.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.1.1.weight - torch.Size([486, 376, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.1.1.bias - torch.Size([486]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.2.0.conv.weight - torch.Size([512, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.2.0.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.2.0.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.2.1.weight - torch.Size([486, 512, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.2.1.bias - torch.Size([486]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.3.0.conv.weight - torch.Size([256, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.3.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.3.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.3.1.weight - torch.Size([486, 256, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.3.1.bias - torch.Size([486]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.4.0.conv.weight - torch.Size([256, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.4.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.4.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.4.1.weight - torch.Size([486, 256, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.4.1.bias - torch.Size([486]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.5.0.conv.weight - torch.Size([128, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.5.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.5.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.cls_convs.5.1.weight - torch.Size([486, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.cls_convs.5.1.bias - torch.Size([486]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.0.0.conv.weight - torch.Size([200, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.0.0.bn.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.0.0.bn.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.0.1.weight - torch.Size([24, 200, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.0.1.bias - torch.Size([24]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.1.0.conv.weight - torch.Size([376, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.1.0.bn.weight - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.1.0.bn.bias - torch.Size([376]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.1.1.weight - torch.Size([24, 376, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.1.1.bias - torch.Size([24]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.2.0.conv.weight - torch.Size([512, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.2.0.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.2.0.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.2.1.weight - torch.Size([24, 512, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.2.1.bias - torch.Size([24]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.3.0.conv.weight - torch.Size([256, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.3.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.3.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.3.1.weight - torch.Size([24, 256, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.3.1.bias - torch.Size([24]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.4.0.conv.weight - torch.Size([256, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.4.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.4.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.4.1.weight - torch.Size([24, 256, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.4.1.bias - torch.Size([24]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.5.0.conv.weight - torch.Size([128, 1, 3, 3]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.5.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.5.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of SingleStageDetector bbox_head.reg_convs.5.1.weight - torch.Size([24, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 bbox_head.reg_convs.5.1.bias - torch.Size([24]): NormalInit: mean=0, std=0.001, bias=0 2024/10/26 18:13:35 - mmengine - INFO - Load checkpoint from work_dirs/ssdlite_mobilemamba_B1_8gpu_2lr_coco/epoch_18.pth 2024/10/26 18:13:35 - mmengine - INFO - resumed epoch: 18, iter: 54972 2024/10/26 18:13:35 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2024/10/26 18:13:35 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2024/10/26 18:13:35 - mmengine - INFO - Checkpoints will be saved to work_dirs/ssdlite_mobilemamba_B1_8gpu_2lr_coco. 2024/10/26 18:13:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:14:01 - mmengine - INFO - Epoch(train) [19][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 21:19:01 time: 0.5238 data_time: 0.0603 memory: 7003 grad_norm: 2.8560 loss: 4.7975 loss_cls: 3.1116 loss_bbox: 1.6859 2024/10/26 18:14:16 - mmengine - INFO - Epoch(train) [19][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 11:41:04 time: 0.3013 data_time: 0.1081 memory: 2056 grad_norm: 2.9616 loss: 4.7116 loss_cls: 3.0540 loss_bbox: 1.6576 2024/10/26 18:14:28 - mmengine - INFO - Epoch(train) [19][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 6:27:27 time: 0.2314 data_time: 0.0267 memory: 2056 grad_norm: 3.0017 loss: 4.7471 loss_cls: 3.0272 loss_bbox: 1.7198 2024/10/26 18:14:39 - mmengine - INFO - Epoch(train) [19][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 3:32:58 time: 0.2179 data_time: 0.0220 memory: 2056 grad_norm: 3.1263 loss: 4.8228 loss_cls: 3.1674 loss_bbox: 1.6554 2024/10/26 18:14:51 - mmengine - INFO - Epoch(train) [19][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 2:15:00 time: 0.2437 data_time: 0.0194 memory: 2056 grad_norm: 2.9107 loss: 4.7461 loss_cls: 3.1101 loss_bbox: 1.6359 2024/10/26 18:15:02 - mmengine - INFO - Epoch(train) [19][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:03:47 time: 0.2215 data_time: 0.0208 memory: 2056 grad_norm: 3.0167 loss: 4.7886 loss_cls: 3.0893 loss_bbox: 1.6993 2024/10/26 18:15:17 - mmengine - INFO - Epoch(train) [19][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 1:12:19 time: 0.3018 data_time: 0.0939 memory: 2056 grad_norm: 3.2935 loss: 4.7557 loss_cls: 3.0945 loss_bbox: 1.6612 2024/10/26 18:15:29 - mmengine - INFO - Epoch(train) [19][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:41:17 time: 0.2441 data_time: 0.0206 memory: 2056 grad_norm: 2.9042 loss: 4.6750 loss_cls: 3.0313 loss_bbox: 1.6437 2024/10/26 18:15:40 - mmengine - INFO - Epoch(train) [19][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 1 day, 0:05:21 time: 0.2237 data_time: 0.0209 memory: 2056 grad_norm: 2.9704 loss: 4.7225 loss_cls: 3.0794 loss_bbox: 1.6431 2024/10/26 18:15:53 - mmengine - INFO - Epoch(train) [19][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:50:23 time: 0.2504 data_time: 0.0192 memory: 2056 grad_norm: 3.0048 loss: 4.6818 loss_cls: 3.0695 loss_bbox: 1.6124 2024/10/26 18:16:04 - mmengine - INFO - Epoch(train) [19][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:27:41 time: 0.2282 data_time: 0.0171 memory: 2056 grad_norm: 2.9857 loss: 4.6862 loss_cls: 3.0303 loss_bbox: 1.6558 2024/10/26 18:16:18 - mmengine - INFO - Epoch(train) [19][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:27:59 time: 0.2729 data_time: 0.0485 memory: 2056 grad_norm: 2.9843 loss: 4.6416 loss_cls: 2.9980 loss_bbox: 1.6436 2024/10/26 18:16:30 - mmengine - INFO - Epoch(train) [19][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:17:10 time: 0.2451 data_time: 0.0250 memory: 2056 grad_norm: 3.1582 loss: 4.7023 loss_cls: 3.0136 loss_bbox: 1.6887 2024/10/26 18:16:42 - mmengine - INFO - Epoch(train) [19][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:02:42 time: 0.2312 data_time: 0.0253 memory: 2056 grad_norm: 3.0190 loss: 4.7910 loss_cls: 3.1081 loss_bbox: 1.6829 2024/10/26 18:16:55 - mmengine - INFO - Epoch(train) [19][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 23:02:49 time: 0.2679 data_time: 0.0264 memory: 2056 grad_norm: 3.3414 loss: 4.6956 loss_cls: 3.0708 loss_bbox: 1.6248 2024/10/26 18:17:07 - mmengine - INFO - Epoch(train) [19][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:52:29 time: 0.2357 data_time: 0.0312 memory: 2056 grad_norm: 2.8826 loss: 4.6638 loss_cls: 3.0405 loss_bbox: 1.6233 2024/10/26 18:17:19 - mmengine - INFO - Epoch(train) [19][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:46:28 time: 0.2460 data_time: 0.0254 memory: 2056 grad_norm: 2.9726 loss: 4.6863 loss_cls: 3.0495 loss_bbox: 1.6368 2024/10/26 18:17:32 - mmengine - INFO - Epoch(train) [19][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:45:18 time: 0.2606 data_time: 0.0261 memory: 2056 grad_norm: 2.7720 loss: 4.5801 loss_cls: 3.0510 loss_bbox: 1.5291 2024/10/26 18:17:44 - mmengine - INFO - Epoch(train) [19][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:36:28 time: 0.2321 data_time: 0.0249 memory: 2056 grad_norm: 3.0402 loss: 4.7144 loss_cls: 3.0913 loss_bbox: 1.6231 2024/10/26 18:17:57 - mmengine - INFO - Epoch(train) [19][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:37:12 time: 0.2658 data_time: 0.0266 memory: 2056 grad_norm: 2.9623 loss: 4.6905 loss_cls: 3.0250 loss_bbox: 1.6655 2024/10/26 18:18:04 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:18:09 - mmengine - INFO - Epoch(train) [19][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:28:15 time: 0.2268 data_time: 0.0269 memory: 2056 grad_norm: 3.1797 loss: 4.6521 loss_cls: 3.0429 loss_bbox: 1.6092 2024/10/26 18:18:21 - mmengine - INFO - Epoch(train) [19][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:23:03 time: 0.2394 data_time: 0.0322 memory: 2056 grad_norm: 3.0204 loss: 4.8146 loss_cls: 3.1408 loss_bbox: 1.6738 2024/10/26 18:18:33 - mmengine - INFO - Epoch(train) [19][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:21:12 time: 0.2523 data_time: 0.0244 memory: 2056 grad_norm: 2.8600 loss: 4.6614 loss_cls: 3.0300 loss_bbox: 1.6314 2024/10/26 18:18:45 - mmengine - INFO - Epoch(train) [19][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:15:31 time: 0.2340 data_time: 0.0245 memory: 2056 grad_norm: 3.0165 loss: 4.7076 loss_cls: 3.0930 loss_bbox: 1.6146 2024/10/26 18:18:57 - mmengine - INFO - Epoch(train) [19][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:13:39 time: 0.2503 data_time: 0.0251 memory: 2056 grad_norm: 2.9993 loss: 4.6853 loss_cls: 3.0484 loss_bbox: 1.6369 2024/10/26 18:19:09 - mmengine - INFO - Epoch(train) [19][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:08:15 time: 0.2318 data_time: 0.0264 memory: 2056 grad_norm: 2.9067 loss: 4.7481 loss_cls: 3.0817 loss_bbox: 1.6664 2024/10/26 18:19:22 - mmengine - INFO - Epoch(train) [19][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:07:04 time: 0.2518 data_time: 0.0342 memory: 2056 grad_norm: 3.1797 loss: 4.6051 loss_cls: 3.0149 loss_bbox: 1.5902 2024/10/26 18:19:34 - mmengine - INFO - Epoch(train) [19][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:05:46 time: 0.2509 data_time: 0.0251 memory: 2056 grad_norm: 2.8373 loss: 4.6384 loss_cls: 3.0545 loss_bbox: 1.5839 2024/10/26 18:19:46 - mmengine - INFO - Epoch(train) [19][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:01:03 time: 0.2313 data_time: 0.0248 memory: 2056 grad_norm: 2.9033 loss: 4.7188 loss_cls: 3.0486 loss_bbox: 1.6702 2024/10/26 18:19:58 - mmengine - INFO - Epoch(train) [19][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 22:00:15 time: 0.2522 data_time: 0.0249 memory: 2056 grad_norm: 2.9290 loss: 4.6802 loss_cls: 3.0804 loss_bbox: 1.5998 2024/10/26 18:20:10 - mmengine - INFO - Epoch(train) [19][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:57:36 time: 0.2409 data_time: 0.0263 memory: 2056 grad_norm: 3.1814 loss: 4.7703 loss_cls: 3.1015 loss_bbox: 1.6688 2024/10/26 18:20:23 - mmengine - INFO - Epoch(train) [19][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:57:30 time: 0.2557 data_time: 0.0262 memory: 2056 grad_norm: 2.9860 loss: 4.6224 loss_cls: 2.9942 loss_bbox: 1.6282 2024/10/26 18:20:36 - mmengine - INFO - Epoch(train) [19][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:56:03 time: 0.2472 data_time: 0.0268 memory: 2056 grad_norm: 2.9044 loss: 4.6954 loss_cls: 3.0540 loss_bbox: 1.6413 2024/10/26 18:20:47 - mmengine - INFO - Epoch(train) [19][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:52:24 time: 0.2323 data_time: 0.0250 memory: 2056 grad_norm: 3.0537 loss: 4.6369 loss_cls: 2.9872 loss_bbox: 1.6496 2024/10/26 18:21:00 - mmengine - INFO - Epoch(train) [19][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:52:08 time: 0.2538 data_time: 0.0246 memory: 2056 grad_norm: 3.0236 loss: 4.5752 loss_cls: 2.9949 loss_bbox: 1.5803 2024/10/26 18:21:11 - mmengine - INFO - Epoch(train) [19][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:48:32 time: 0.2306 data_time: 0.0247 memory: 2056 grad_norm: 2.8701 loss: 4.7775 loss_cls: 3.0841 loss_bbox: 1.6934 2024/10/26 18:21:24 - mmengine - INFO - Epoch(train) [19][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:48:13 time: 0.2527 data_time: 0.0262 memory: 2056 grad_norm: 3.2300 loss: 4.8034 loss_cls: 3.1290 loss_bbox: 1.6744 2024/10/26 18:21:36 - mmengine - INFO - Epoch(train) [19][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:47:15 time: 0.2479 data_time: 0.0266 memory: 2056 grad_norm: 2.9303 loss: 4.7380 loss_cls: 3.0653 loss_bbox: 1.6727 2024/10/26 18:21:49 - mmengine - INFO - Epoch(train) [19][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:45:25 time: 0.2411 data_time: 0.0294 memory: 2056 grad_norm: 3.0776 loss: 4.6392 loss_cls: 3.0581 loss_bbox: 1.5811 2024/10/26 18:22:01 - mmengine - INFO - Epoch(train) [19][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:45:41 time: 0.2567 data_time: 0.0250 memory: 2056 grad_norm: 3.0000 loss: 4.6264 loss_cls: 3.0095 loss_bbox: 1.6169 2024/10/26 18:22:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:22:14 - mmengine - INFO - Epoch(train) [19][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:44:34 time: 0.2459 data_time: 0.0310 memory: 2056 grad_norm: 2.9076 loss: 4.7050 loss_cls: 3.0606 loss_bbox: 1.6444 2024/10/26 18:22:26 - mmengine - INFO - Epoch(train) [19][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:44:50 time: 0.2568 data_time: 0.0250 memory: 2056 grad_norm: 2.8724 loss: 4.8278 loss_cls: 3.1401 loss_bbox: 1.6878 2024/10/26 18:22:39 - mmengine - INFO - Epoch(train) [19][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:43:49 time: 0.2463 data_time: 0.0218 memory: 2056 grad_norm: 3.0759 loss: 4.7888 loss_cls: 3.0878 loss_bbox: 1.7010 2024/10/26 18:22:51 - mmengine - INFO - Epoch(train) [19][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:41:34 time: 0.2354 data_time: 0.0193 memory: 2056 grad_norm: 2.8480 loss: 4.5900 loss_cls: 3.0211 loss_bbox: 1.5689 2024/10/26 18:23:03 - mmengine - INFO - Epoch(train) [19][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:41:31 time: 0.2539 data_time: 0.0196 memory: 2056 grad_norm: 2.8009 loss: 4.6427 loss_cls: 3.0214 loss_bbox: 1.6213 2024/10/26 18:23:18 - mmengine - INFO - Epoch(train) [19][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:45:08 time: 0.2867 data_time: 0.0662 memory: 2056 grad_norm: 3.0256 loss: 4.7944 loss_cls: 3.1070 loss_bbox: 1.6873 2024/10/26 18:23:29 - mmengine - INFO - Epoch(train) [19][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:42:56 time: 0.2351 data_time: 0.0195 memory: 2056 grad_norm: 2.9493 loss: 4.6494 loss_cls: 3.0297 loss_bbox: 1.6197 2024/10/26 18:23:42 - mmengine - INFO - Epoch(train) [19][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:42:02 time: 0.2465 data_time: 0.0187 memory: 2056 grad_norm: 2.8384 loss: 4.7389 loss_cls: 3.0768 loss_bbox: 1.6621 2024/10/26 18:23:53 - mmengine - INFO - Epoch(train) [19][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:39:17 time: 0.2286 data_time: 0.0193 memory: 2056 grad_norm: 3.1121 loss: 4.6804 loss_cls: 3.0461 loss_bbox: 1.6344 2024/10/26 18:24:05 - mmengine - INFO - Epoch(train) [19][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:37:52 time: 0.2405 data_time: 0.0207 memory: 2056 grad_norm: 3.2520 loss: 4.7859 loss_cls: 3.0924 loss_bbox: 1.6935 2024/10/26 18:24:18 - mmengine - INFO - Epoch(train) [19][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:37:11 time: 0.2474 data_time: 0.0313 memory: 2056 grad_norm: 3.0177 loss: 4.6894 loss_cls: 3.0726 loss_bbox: 1.6168 2024/10/26 18:24:29 - mmengine - INFO - Epoch(train) [19][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:35:13 time: 0.2342 data_time: 0.0198 memory: 2056 grad_norm: 3.0229 loss: 4.7604 loss_cls: 3.0771 loss_bbox: 1.6833 2024/10/26 18:24:42 - mmengine - INFO - Epoch(train) [19][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:35:03 time: 0.2520 data_time: 0.0252 memory: 2056 grad_norm: 3.0306 loss: 4.7965 loss_cls: 3.0944 loss_bbox: 1.7022 2024/10/26 18:24:53 - mmengine - INFO - Epoch(train) [19][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:32:44 time: 0.2295 data_time: 0.0239 memory: 2056 grad_norm: 3.1697 loss: 4.6785 loss_cls: 3.0591 loss_bbox: 1.6194 2024/10/26 18:25:05 - mmengine - INFO - Epoch(train) [19][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:31:28 time: 0.2400 data_time: 0.0224 memory: 2056 grad_norm: 3.0994 loss: 4.6467 loss_cls: 3.0485 loss_bbox: 1.5982 2024/10/26 18:25:18 - mmengine - INFO - Epoch(train) [19][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:31:06 time: 0.2491 data_time: 0.0204 memory: 2056 grad_norm: 2.9311 loss: 4.6405 loss_cls: 3.0506 loss_bbox: 1.5899 2024/10/26 18:25:30 - mmengine - INFO - Epoch(train) [19][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:30:10 time: 0.2430 data_time: 0.0271 memory: 2056 grad_norm: 2.9865 loss: 4.7660 loss_cls: 3.1083 loss_bbox: 1.6576 2024/10/26 18:25:42 - mmengine - INFO - Epoch(train) [19][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:29:58 time: 0.2509 data_time: 0.0189 memory: 2056 grad_norm: 2.9364 loss: 4.8430 loss_cls: 3.1590 loss_bbox: 1.6840 2024/10/26 18:25:54 - mmengine - INFO - Epoch(train) [19][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:28:16 time: 0.2337 data_time: 0.0190 memory: 2056 grad_norm: 3.0619 loss: 4.5827 loss_cls: 3.0359 loss_bbox: 1.5468 2024/10/26 18:26:07 - mmengine - INFO - Epoch(train) [19][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:27:43 time: 0.2466 data_time: 0.0284 memory: 2056 grad_norm: 2.8835 loss: 4.6928 loss_cls: 3.0356 loss_bbox: 1.6573 2024/10/26 18:26:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:26:19 - mmengine - INFO - Epoch(train) [19][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:28:09 time: 0.2580 data_time: 0.0220 memory: 2056 grad_norm: 3.0678 loss: 4.6883 loss_cls: 3.0394 loss_bbox: 1.6489 2024/10/26 18:26:25 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:26:25 - mmengine - INFO - Saving checkpoint at 19 epochs 2024/10/26 18:26:40 - mmengine - INFO - Epoch(train) [20][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:36:38 time: 0.2671 data_time: 0.0261 memory: 6244 grad_norm: 3.0459 loss: 4.6179 loss_cls: 3.0036 loss_bbox: 1.6143 2024/10/26 18:26:53 - mmengine - INFO - Epoch(train) [20][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:35:45 time: 0.2441 data_time: 0.0199 memory: 2059 grad_norm: 3.1403 loss: 4.7600 loss_cls: 3.0880 loss_bbox: 1.6720 2024/10/26 18:27:04 - mmengine - INFO - Epoch(train) [20][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:33:57 time: 0.2322 data_time: 0.0184 memory: 2059 grad_norm: 3.0668 loss: 4.6467 loss_cls: 3.0193 loss_bbox: 1.6274 2024/10/26 18:27:18 - mmengine - INFO - Epoch(train) [20][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:35:13 time: 0.2706 data_time: 0.0561 memory: 2059 grad_norm: 3.2079 loss: 4.7154 loss_cls: 3.0778 loss_bbox: 1.6376 2024/10/26 18:27:30 - mmengine - INFO - Epoch(train) [20][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:34:25 time: 0.2445 data_time: 0.0185 memory: 2059 grad_norm: 2.7637 loss: 4.6136 loss_cls: 2.9972 loss_bbox: 1.6164 2024/10/26 18:27:42 - mmengine - INFO - Epoch(train) [20][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:33:05 time: 0.2375 data_time: 0.0178 memory: 2059 grad_norm: 3.0169 loss: 4.7836 loss_cls: 3.0865 loss_bbox: 1.6972 2024/10/26 18:27:54 - mmengine - INFO - Epoch(train) [20][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:32:21 time: 0.2447 data_time: 0.0243 memory: 2059 grad_norm: 3.1070 loss: 4.8212 loss_cls: 3.1188 loss_bbox: 1.7024 2024/10/26 18:28:07 - mmengine - INFO - Epoch(train) [20][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:32:00 time: 0.2499 data_time: 0.0219 memory: 2059 grad_norm: 3.0102 loss: 4.6331 loss_cls: 3.0182 loss_bbox: 1.6150 2024/10/26 18:28:18 - mmengine - INFO - Epoch(train) [20][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:30:24 time: 0.2326 data_time: 0.0198 memory: 2059 grad_norm: 3.0452 loss: 4.6769 loss_cls: 3.0590 loss_bbox: 1.6178 2024/10/26 18:28:31 - mmengine - INFO - Epoch(train) [20][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:30:37 time: 0.2573 data_time: 0.0243 memory: 2059 grad_norm: 3.0440 loss: 4.7148 loss_cls: 3.0629 loss_bbox: 1.6520 2024/10/26 18:28:43 - mmengine - INFO - Epoch(train) [20][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:29:39 time: 0.2409 data_time: 0.0172 memory: 2059 grad_norm: 3.0646 loss: 4.6676 loss_cls: 3.0594 loss_bbox: 1.6082 2024/10/26 18:28:55 - mmengine - INFO - Epoch(train) [20][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:28:48 time: 0.2422 data_time: 0.0194 memory: 2059 grad_norm: 3.0507 loss: 4.7674 loss_cls: 3.0823 loss_bbox: 1.6852 2024/10/26 18:29:07 - mmengine - INFO - Epoch(train) [20][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:27:56 time: 0.2415 data_time: 0.0206 memory: 2059 grad_norm: 3.0104 loss: 4.7495 loss_cls: 3.0920 loss_bbox: 1.6575 2024/10/26 18:29:20 - mmengine - INFO - Epoch(train) [20][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:27:10 time: 0.2430 data_time: 0.0201 memory: 2059 grad_norm: 2.9482 loss: 4.6969 loss_cls: 3.0838 loss_bbox: 1.6130 2024/10/26 18:29:32 - mmengine - INFO - Epoch(train) [20][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:26:39 time: 0.2463 data_time: 0.0242 memory: 2059 grad_norm: 3.0617 loss: 4.6252 loss_cls: 3.0311 loss_bbox: 1.5941 2024/10/26 18:29:43 - mmengine - INFO - Epoch(train) [20][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:24:56 time: 0.2283 data_time: 0.0197 memory: 2059 grad_norm: 3.1103 loss: 4.6662 loss_cls: 3.0695 loss_bbox: 1.5967 2024/10/26 18:29:55 - mmengine - INFO - Epoch(train) [20][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:23:30 time: 0.2319 data_time: 0.0198 memory: 2059 grad_norm: 2.8865 loss: 4.7246 loss_cls: 3.0731 loss_bbox: 1.6514 2024/10/26 18:30:07 - mmengine - INFO - Epoch(train) [20][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:22:17 time: 0.2348 data_time: 0.0206 memory: 2059 grad_norm: 2.8270 loss: 4.7383 loss_cls: 3.0799 loss_bbox: 1.6584 2024/10/26 18:30:18 - mmengine - INFO - Epoch(train) [20][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:20:52 time: 0.2314 data_time: 0.0210 memory: 2059 grad_norm: 3.2342 loss: 4.7924 loss_cls: 3.0662 loss_bbox: 1.7261 2024/10/26 18:30:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:30:30 - mmengine - INFO - Epoch(train) [20][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:20:19 time: 0.2443 data_time: 0.0263 memory: 2059 grad_norm: 3.0162 loss: 4.6576 loss_cls: 3.0624 loss_bbox: 1.5951 2024/10/26 18:30:42 - mmengine - INFO - Epoch(train) [20][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:18:38 time: 0.2263 data_time: 0.0205 memory: 2059 grad_norm: 3.4063 loss: 4.7597 loss_cls: 3.0363 loss_bbox: 1.7234 2024/10/26 18:30:53 - mmengine - INFO - Epoch(train) [20][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:17:17 time: 0.2311 data_time: 0.0195 memory: 2059 grad_norm: 3.0447 loss: 4.6885 loss_cls: 3.0641 loss_bbox: 1.6244 2024/10/26 18:31:05 - mmengine - INFO - Epoch(train) [20][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:16:01 time: 0.2318 data_time: 0.0197 memory: 2059 grad_norm: 3.2393 loss: 4.7500 loss_cls: 3.0866 loss_bbox: 1.6634 2024/10/26 18:31:17 - mmengine - INFO - Epoch(train) [20][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:15:08 time: 0.2379 data_time: 0.0257 memory: 2059 grad_norm: 2.8262 loss: 4.6525 loss_cls: 3.0386 loss_bbox: 1.6139 2024/10/26 18:31:29 - mmengine - INFO - Epoch(train) [20][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:14:43 time: 0.2455 data_time: 0.0254 memory: 2059 grad_norm: 3.2778 loss: 4.6963 loss_cls: 3.0845 loss_bbox: 1.6118 2024/10/26 18:31:40 - mmengine - INFO - Epoch(train) [20][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:13:13 time: 0.2269 data_time: 0.0216 memory: 2059 grad_norm: 3.0883 loss: 4.7624 loss_cls: 3.0860 loss_bbox: 1.6764 2024/10/26 18:31:53 - mmengine - INFO - Epoch(train) [20][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:12:36 time: 0.2418 data_time: 0.0260 memory: 2059 grad_norm: 3.0238 loss: 4.7372 loss_cls: 3.0828 loss_bbox: 1.6544 2024/10/26 18:32:04 - mmengine - INFO - Epoch(train) [20][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:10:58 time: 0.2239 data_time: 0.0200 memory: 2059 grad_norm: 3.0628 loss: 4.7276 loss_cls: 3.0878 loss_bbox: 1.6398 2024/10/26 18:32:17 - mmengine - INFO - Epoch(train) [20][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:12:03 time: 0.2709 data_time: 0.0593 memory: 2059 grad_norm: 3.0419 loss: 4.7212 loss_cls: 3.0646 loss_bbox: 1.6566 2024/10/26 18:32:29 - mmengine - INFO - Epoch(train) [20][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:11:23 time: 0.2405 data_time: 0.0265 memory: 2059 grad_norm: 3.0658 loss: 4.6715 loss_cls: 3.0110 loss_bbox: 1.6604 2024/10/26 18:32:41 - mmengine - INFO - Epoch(train) [20][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:10:28 time: 0.2357 data_time: 0.0242 memory: 2059 grad_norm: 3.0847 loss: 4.8201 loss_cls: 3.1081 loss_bbox: 1.7120 2024/10/26 18:32:53 - mmengine - INFO - Epoch(train) [20][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:09:47 time: 0.2396 data_time: 0.0224 memory: 2059 grad_norm: 3.1859 loss: 4.5480 loss_cls: 2.9918 loss_bbox: 1.5562 2024/10/26 18:33:05 - mmengine - INFO - Epoch(train) [20][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:08:38 time: 0.2312 data_time: 0.0198 memory: 2059 grad_norm: 3.0233 loss: 4.6955 loss_cls: 3.0953 loss_bbox: 1.6002 2024/10/26 18:33:18 - mmengine - INFO - Epoch(train) [20][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:09:25 time: 0.2662 data_time: 0.0395 memory: 2059 grad_norm: 3.0416 loss: 4.7527 loss_cls: 3.1032 loss_bbox: 1.6495 2024/10/26 18:33:30 - mmengine - INFO - Epoch(train) [20][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:08:47 time: 0.2403 data_time: 0.0201 memory: 2059 grad_norm: 2.8634 loss: 4.7798 loss_cls: 3.0551 loss_bbox: 1.7247 2024/10/26 18:33:42 - mmengine - INFO - Epoch(train) [20][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:08:34 time: 0.2480 data_time: 0.0270 memory: 2059 grad_norm: 2.9767 loss: 4.6748 loss_cls: 3.0351 loss_bbox: 1.6397 2024/10/26 18:33:54 - mmengine - INFO - Epoch(train) [20][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:08:05 time: 0.2429 data_time: 0.0205 memory: 2059 grad_norm: 3.0472 loss: 4.7049 loss_cls: 3.0781 loss_bbox: 1.6268 2024/10/26 18:34:07 - mmengine - INFO - Epoch(train) [20][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:07:40 time: 0.2443 data_time: 0.0205 memory: 2059 grad_norm: 3.1335 loss: 4.7482 loss_cls: 3.0979 loss_bbox: 1.6504 2024/10/26 18:34:20 - mmengine - INFO - Epoch(train) [20][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:08:27 time: 0.2675 data_time: 0.0443 memory: 2059 grad_norm: 3.1430 loss: 4.6235 loss_cls: 3.0011 loss_bbox: 1.6224 2024/10/26 18:34:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:34:32 - mmengine - INFO - Epoch(train) [20][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:07:38 time: 0.2362 data_time: 0.0258 memory: 2059 grad_norm: 3.0960 loss: 4.6820 loss_cls: 3.0908 loss_bbox: 1.5912 2024/10/26 18:34:44 - mmengine - INFO - Epoch(train) [20][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:07:11 time: 0.2433 data_time: 0.0212 memory: 2059 grad_norm: 2.9569 loss: 4.6431 loss_cls: 3.0280 loss_bbox: 1.6150 2024/10/26 18:34:56 - mmengine - INFO - Epoch(train) [20][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:06:28 time: 0.2379 data_time: 0.0283 memory: 2059 grad_norm: 3.2177 loss: 4.7565 loss_cls: 3.0788 loss_bbox: 1.6777 2024/10/26 18:35:07 - mmengine - INFO - Epoch(train) [20][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:05:19 time: 0.2288 data_time: 0.0225 memory: 2059 grad_norm: 2.9213 loss: 4.7729 loss_cls: 3.0669 loss_bbox: 1.7060 2024/10/26 18:35:20 - mmengine - INFO - Epoch(train) [20][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:05:28 time: 0.2552 data_time: 0.0286 memory: 2059 grad_norm: 2.9790 loss: 4.7116 loss_cls: 3.0784 loss_bbox: 1.6332 2024/10/26 18:35:32 - mmengine - INFO - Epoch(train) [20][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:04:32 time: 0.2329 data_time: 0.0270 memory: 2059 grad_norm: 3.1640 loss: 4.8476 loss_cls: 3.1403 loss_bbox: 1.7072 2024/10/26 18:35:44 - mmengine - INFO - Epoch(train) [20][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:03:40 time: 0.2339 data_time: 0.0267 memory: 2059 grad_norm: 2.9251 loss: 4.6605 loss_cls: 3.0274 loss_bbox: 1.6330 2024/10/26 18:35:56 - mmengine - INFO - Epoch(train) [20][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:03:39 time: 0.2515 data_time: 0.0278 memory: 2059 grad_norm: 3.1370 loss: 4.6395 loss_cls: 3.0305 loss_bbox: 1.6091 2024/10/26 18:36:08 - mmengine - INFO - Epoch(train) [20][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:02:51 time: 0.2353 data_time: 0.0261 memory: 2059 grad_norm: 3.0557 loss: 4.7355 loss_cls: 3.0726 loss_bbox: 1.6629 2024/10/26 18:36:20 - mmengine - INFO - Epoch(train) [20][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:02:42 time: 0.2487 data_time: 0.0260 memory: 2059 grad_norm: 3.2040 loss: 4.7585 loss_cls: 3.1164 loss_bbox: 1.6421 2024/10/26 18:36:33 - mmengine - INFO - Epoch(train) [20][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:02:28 time: 0.2471 data_time: 0.0324 memory: 2059 grad_norm: 2.9284 loss: 4.6787 loss_cls: 3.0713 loss_bbox: 1.6074 2024/10/26 18:36:45 - mmengine - INFO - Epoch(train) [20][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:01:58 time: 0.2410 data_time: 0.0296 memory: 2059 grad_norm: 3.1077 loss: 4.7382 loss_cls: 3.0716 loss_bbox: 1.6666 2024/10/26 18:36:58 - mmengine - INFO - Epoch(train) [20][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:02:19 time: 0.2598 data_time: 0.0251 memory: 2059 grad_norm: 3.0495 loss: 4.6435 loss_cls: 3.0562 loss_bbox: 1.5874 2024/10/26 18:37:09 - mmengine - INFO - Epoch(train) [20][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:01:07 time: 0.2256 data_time: 0.0265 memory: 2059 grad_norm: 2.9785 loss: 4.6497 loss_cls: 3.0053 loss_bbox: 1.6443 2024/10/26 18:37:22 - mmengine - INFO - Epoch(train) [20][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:01:16 time: 0.2552 data_time: 0.0257 memory: 2059 grad_norm: 3.3018 loss: 4.7336 loss_cls: 3.0400 loss_bbox: 1.6936 2024/10/26 18:37:34 - mmengine - INFO - Epoch(train) [20][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:00:46 time: 0.2410 data_time: 0.0265 memory: 2059 grad_norm: 3.0644 loss: 4.7131 loss_cls: 3.0975 loss_bbox: 1.6156 2024/10/26 18:37:46 - mmengine - INFO - Epoch(train) [20][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:00:14 time: 0.2400 data_time: 0.0282 memory: 2059 grad_norm: 3.1868 loss: 4.7523 loss_cls: 3.0752 loss_bbox: 1.6771 2024/10/26 18:37:58 - mmengine - INFO - Epoch(train) [20][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 21:00:14 time: 0.2519 data_time: 0.0329 memory: 2059 grad_norm: 3.1127 loss: 4.7489 loss_cls: 3.0849 loss_bbox: 1.6640 2024/10/26 18:38:10 - mmengine - INFO - Epoch(train) [20][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:59:39 time: 0.2389 data_time: 0.0203 memory: 2059 grad_norm: 3.1068 loss: 4.7526 loss_cls: 3.0983 loss_bbox: 1.6543 2024/10/26 18:38:23 - mmengine - INFO - Epoch(train) [20][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:59:33 time: 0.2499 data_time: 0.0214 memory: 2059 grad_norm: 3.0683 loss: 4.7179 loss_cls: 3.0583 loss_bbox: 1.6596 2024/10/26 18:38:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:38:35 - mmengine - INFO - Epoch(train) [20][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:59:08 time: 0.2421 data_time: 0.0211 memory: 2059 grad_norm: 3.0528 loss: 4.7024 loss_cls: 3.0557 loss_bbox: 1.6467 2024/10/26 18:38:47 - mmengine - INFO - Epoch(train) [20][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:58:18 time: 0.2325 data_time: 0.0210 memory: 2059 grad_norm: 3.1757 loss: 4.7028 loss_cls: 3.0914 loss_bbox: 1.6114 2024/10/26 18:38:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:38:48 - mmengine - INFO - Saving checkpoint at 20 epochs 2024/10/26 18:38:54 - mmengine - INFO - Epoch(val) [20][50/79] eta: 0:00:02 time: 0.0881 data_time: 0.0067 memory: 3688 2024/10/26 18:39:08 - mmengine - INFO - Evaluating bbox... 2024/10/26 18:40:05 - mmengine - INFO - bbox_mAP_copypaste: 0.161 0.286 0.160 0.012 0.139 0.317 2024/10/26 18:40:06 - mmengine - INFO - Epoch(val) [20][79/79] coco/bbox_mAP: 0.1610 coco/bbox_mAP_50: 0.2860 coco/bbox_mAP_75: 0.1600 coco/bbox_mAP_s: 0.0120 coco/bbox_mAP_m: 0.1390 coco/bbox_mAP_l: 0.3170 data_time: 0.0056 time: 0.0920 2024/10/26 18:40:19 - mmengine - INFO - Epoch(train) [21][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:58:49 time: 0.2628 data_time: 0.0357 memory: 2751 grad_norm: 3.0894 loss: 4.7162 loss_cls: 3.0953 loss_bbox: 1.6209 2024/10/26 18:40:30 - mmengine - INFO - Epoch(train) [21][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:57:39 time: 0.2239 data_time: 0.0236 memory: 2049 grad_norm: 2.9354 loss: 4.7475 loss_cls: 3.0822 loss_bbox: 1.6653 2024/10/26 18:40:42 - mmengine - INFO - Epoch(train) [21][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:56:46 time: 0.2303 data_time: 0.0232 memory: 2049 grad_norm: 3.1369 loss: 4.6742 loss_cls: 3.0608 loss_bbox: 1.6134 2024/10/26 18:40:53 - mmengine - INFO - Epoch(train) [21][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:55:19 time: 0.2162 data_time: 0.0234 memory: 2049 grad_norm: 3.2089 loss: 4.6750 loss_cls: 3.0521 loss_bbox: 1.6229 2024/10/26 18:41:04 - mmengine - INFO - Epoch(train) [21][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:54:15 time: 0.2253 data_time: 0.0295 memory: 2049 grad_norm: 2.8635 loss: 4.6834 loss_cls: 3.0603 loss_bbox: 1.6231 2024/10/26 18:41:17 - mmengine - INFO - Epoch(train) [21][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:54:26 time: 0.2567 data_time: 0.0489 memory: 2049 grad_norm: 2.9454 loss: 4.6515 loss_cls: 3.0047 loss_bbox: 1.6468 2024/10/26 18:41:28 - mmengine - INFO - Epoch(train) [21][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:53:07 time: 0.2185 data_time: 0.0251 memory: 2049 grad_norm: 3.1912 loss: 4.6871 loss_cls: 3.0288 loss_bbox: 1.6583 2024/10/26 18:41:39 - mmengine - INFO - Epoch(train) [21][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:52:12 time: 0.2282 data_time: 0.0228 memory: 2049 grad_norm: 3.0451 loss: 4.7903 loss_cls: 3.0874 loss_bbox: 1.7030 2024/10/26 18:41:50 - mmengine - INFO - Epoch(train) [21][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:50:49 time: 0.2156 data_time: 0.0232 memory: 2049 grad_norm: 3.0724 loss: 4.6419 loss_cls: 2.9930 loss_bbox: 1.6489 2024/10/26 18:42:01 - mmengine - INFO - Epoch(train) [21][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:49:47 time: 0.2249 data_time: 0.0237 memory: 2049 grad_norm: 2.8909 loss: 4.7407 loss_cls: 3.0816 loss_bbox: 1.6591 2024/10/26 18:42:12 - mmengine - INFO - Epoch(train) [21][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:48:49 time: 0.2259 data_time: 0.0242 memory: 2049 grad_norm: 2.8098 loss: 4.6415 loss_cls: 3.0399 loss_bbox: 1.6016 2024/10/26 18:42:23 - mmengine - INFO - Epoch(train) [21][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:47:36 time: 0.2188 data_time: 0.0243 memory: 2049 grad_norm: 3.2265 loss: 4.8300 loss_cls: 3.1316 loss_bbox: 1.6985 2024/10/26 18:42:35 - mmengine - INFO - Epoch(train) [21][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:46:52 time: 0.2317 data_time: 0.0256 memory: 2049 grad_norm: 3.1779 loss: 4.6525 loss_cls: 3.0151 loss_bbox: 1.6375 2024/10/26 18:42:46 - mmengine - INFO - Epoch(train) [21][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:45:56 time: 0.2257 data_time: 0.0238 memory: 2049 grad_norm: 2.9808 loss: 4.7429 loss_cls: 3.0938 loss_bbox: 1.6491 2024/10/26 18:42:57 - mmengine - INFO - Epoch(train) [21][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:45:01 time: 0.2264 data_time: 0.0245 memory: 2049 grad_norm: 3.0595 loss: 4.7163 loss_cls: 3.0813 loss_bbox: 1.6350 2024/10/26 18:43:09 - mmengine - INFO - Epoch(train) [21][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:44:31 time: 0.2371 data_time: 0.0231 memory: 2049 grad_norm: 3.0125 loss: 4.6450 loss_cls: 3.0526 loss_bbox: 1.5923 2024/10/26 18:43:20 - mmengine - INFO - Epoch(train) [21][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:43:31 time: 0.2231 data_time: 0.0231 memory: 2049 grad_norm: 3.2317 loss: 4.6734 loss_cls: 3.0096 loss_bbox: 1.6638 2024/10/26 18:43:32 - mmengine - INFO - Epoch(train) [21][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:42:55 time: 0.2344 data_time: 0.0241 memory: 2049 grad_norm: 3.0905 loss: 4.7374 loss_cls: 3.0540 loss_bbox: 1.6833 2024/10/26 18:43:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:43:44 - mmengine - INFO - Epoch(train) [21][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:42:09 time: 0.2289 data_time: 0.0241 memory: 2049 grad_norm: 3.0068 loss: 4.6970 loss_cls: 3.0439 loss_bbox: 1.6531 2024/10/26 18:43:55 - mmengine - INFO - Epoch(train) [21][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:41:06 time: 0.2213 data_time: 0.0218 memory: 2049 grad_norm: 3.1713 loss: 4.7012 loss_cls: 3.0737 loss_bbox: 1.6275 2024/10/26 18:44:06 - mmengine - INFO - Epoch(train) [21][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:40:30 time: 0.2332 data_time: 0.0221 memory: 2049 grad_norm: 2.9809 loss: 4.6845 loss_cls: 3.0434 loss_bbox: 1.6411 2024/10/26 18:44:18 - mmengine - INFO - Epoch(train) [21][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:39:55 time: 0.2338 data_time: 0.0333 memory: 2049 grad_norm: 2.7507 loss: 4.7227 loss_cls: 3.0901 loss_bbox: 1.6326 2024/10/26 18:44:30 - mmengine - INFO - Epoch(train) [21][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:39:36 time: 0.2414 data_time: 0.0218 memory: 2049 grad_norm: 3.1034 loss: 4.7677 loss_cls: 3.0979 loss_bbox: 1.6698 2024/10/26 18:44:42 - mmengine - INFO - Epoch(train) [21][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:39:07 time: 0.2363 data_time: 0.0296 memory: 2049 grad_norm: 2.9950 loss: 4.6989 loss_cls: 3.0708 loss_bbox: 1.6280 2024/10/26 18:44:54 - mmengine - INFO - Epoch(train) [21][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:38:57 time: 0.2454 data_time: 0.0216 memory: 2049 grad_norm: 3.2578 loss: 4.7071 loss_cls: 3.0538 loss_bbox: 1.6533 2024/10/26 18:45:07 - mmengine - INFO - Epoch(train) [21][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:39:10 time: 0.2569 data_time: 0.0205 memory: 2049 grad_norm: 3.0784 loss: 4.6909 loss_cls: 3.0422 loss_bbox: 1.6486 2024/10/26 18:45:19 - mmengine - INFO - Epoch(train) [21][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:38:48 time: 0.2397 data_time: 0.0189 memory: 2049 grad_norm: 3.1199 loss: 4.8006 loss_cls: 3.0791 loss_bbox: 1.7215 2024/10/26 18:45:32 - mmengine - INFO - Epoch(train) [21][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:38:50 time: 0.2516 data_time: 0.0191 memory: 2049 grad_norm: 3.1870 loss: 4.7102 loss_cls: 3.0635 loss_bbox: 1.6467 2024/10/26 18:45:43 - mmengine - INFO - Epoch(train) [21][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:38:14 time: 0.2324 data_time: 0.0189 memory: 2049 grad_norm: 3.0216 loss: 4.6319 loss_cls: 3.0101 loss_bbox: 1.6217 2024/10/26 18:45:55 - mmengine - INFO - Epoch(train) [21][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:37:51 time: 0.2393 data_time: 0.0196 memory: 2049 grad_norm: 3.0752 loss: 4.8324 loss_cls: 3.1239 loss_bbox: 1.7085 2024/10/26 18:46:08 - mmengine - INFO - Epoch(train) [21][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:38:00 time: 0.2549 data_time: 0.0224 memory: 2049 grad_norm: 3.2101 loss: 4.7186 loss_cls: 3.0668 loss_bbox: 1.6518 2024/10/26 18:46:20 - mmengine - INFO - Epoch(train) [21][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:37:53 time: 0.2473 data_time: 0.0227 memory: 2049 grad_norm: 3.1476 loss: 4.7191 loss_cls: 3.0530 loss_bbox: 1.6661 2024/10/26 18:46:34 - mmengine - INFO - Epoch(train) [21][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:38:25 time: 0.2670 data_time: 0.0187 memory: 2049 grad_norm: 2.8209 loss: 4.8956 loss_cls: 3.1727 loss_bbox: 1.7230 2024/10/26 18:46:45 - mmengine - INFO - Epoch(train) [21][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:37:45 time: 0.2300 data_time: 0.0185 memory: 2049 grad_norm: 2.9949 loss: 4.5991 loss_cls: 3.0422 loss_bbox: 1.5569 2024/10/26 18:46:58 - mmengine - INFO - Epoch(train) [21][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:37:51 time: 0.2540 data_time: 0.0189 memory: 2049 grad_norm: 3.0606 loss: 4.7553 loss_cls: 3.0993 loss_bbox: 1.6560 2024/10/26 18:47:11 - mmengine - INFO - Epoch(train) [21][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:37:57 time: 0.2546 data_time: 0.0223 memory: 2049 grad_norm: 2.9726 loss: 4.6929 loss_cls: 3.0531 loss_bbox: 1.6398 2024/10/26 18:47:23 - mmengine - INFO - Epoch(train) [21][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:37:44 time: 0.2442 data_time: 0.0205 memory: 2049 grad_norm: 3.1898 loss: 4.6888 loss_cls: 3.0560 loss_bbox: 1.6328 2024/10/26 18:47:36 - mmengine - INFO - Epoch(train) [21][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:38:13 time: 0.2662 data_time: 0.0251 memory: 2049 grad_norm: 3.1885 loss: 4.7583 loss_cls: 3.1299 loss_bbox: 1.6284 2024/10/26 18:47:41 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:47:48 - mmengine - INFO - Epoch(train) [21][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:37:39 time: 0.2332 data_time: 0.0248 memory: 2049 grad_norm: 3.1720 loss: 4.7044 loss_cls: 3.0774 loss_bbox: 1.6270 2024/10/26 18:48:00 - mmengine - INFO - Epoch(train) [21][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:37:24 time: 0.2430 data_time: 0.0205 memory: 2049 grad_norm: 3.1389 loss: 4.7413 loss_cls: 3.0558 loss_bbox: 1.6855 2024/10/26 18:48:12 - mmengine - INFO - Epoch(train) [21][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:37:03 time: 0.2404 data_time: 0.0217 memory: 2049 grad_norm: 2.8013 loss: 4.7245 loss_cls: 3.0504 loss_bbox: 1.6741 2024/10/26 18:48:24 - mmengine - INFO - Epoch(train) [21][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:36:25 time: 0.2303 data_time: 0.0214 memory: 2049 grad_norm: 2.8114 loss: 4.7033 loss_cls: 3.0657 loss_bbox: 1.6376 2024/10/26 18:48:36 - mmengine - INFO - Epoch(train) [21][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:36:23 time: 0.2504 data_time: 0.0220 memory: 2049 grad_norm: 3.1351 loss: 4.6944 loss_cls: 3.0620 loss_bbox: 1.6324 2024/10/26 18:48:47 - mmengine - INFO - Epoch(train) [21][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:35:38 time: 0.2267 data_time: 0.0209 memory: 2049 grad_norm: 2.9913 loss: 4.6362 loss_cls: 2.9865 loss_bbox: 1.6497 2024/10/26 18:49:00 - mmengine - INFO - Epoch(train) [21][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:35:38 time: 0.2513 data_time: 0.0212 memory: 2049 grad_norm: 3.0596 loss: 4.5850 loss_cls: 2.9652 loss_bbox: 1.6199 2024/10/26 18:49:12 - mmengine - INFO - Epoch(train) [21][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:35:04 time: 0.2325 data_time: 0.0225 memory: 2049 grad_norm: 3.2134 loss: 4.5797 loss_cls: 2.9977 loss_bbox: 1.5819 2024/10/26 18:49:23 - mmengine - INFO - Epoch(train) [21][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:34:37 time: 0.2362 data_time: 0.0226 memory: 2049 grad_norm: 2.8454 loss: 4.6203 loss_cls: 3.0216 loss_bbox: 1.5986 2024/10/26 18:49:36 - mmengine - INFO - Epoch(train) [21][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:34:29 time: 0.2468 data_time: 0.0275 memory: 2049 grad_norm: 3.0689 loss: 4.7343 loss_cls: 3.0809 loss_bbox: 1.6534 2024/10/26 18:49:47 - mmengine - INFO - Epoch(train) [21][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:33:48 time: 0.2281 data_time: 0.0211 memory: 2049 grad_norm: 3.2763 loss: 4.6952 loss_cls: 3.0511 loss_bbox: 1.6441 2024/10/26 18:50:00 - mmengine - INFO - Epoch(train) [21][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:33:46 time: 0.2500 data_time: 0.0264 memory: 2049 grad_norm: 2.9796 loss: 4.7534 loss_cls: 3.0692 loss_bbox: 1.6842 2024/10/26 18:50:12 - mmengine - INFO - Epoch(train) [21][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:33:24 time: 0.2388 data_time: 0.0222 memory: 2049 grad_norm: 3.1353 loss: 4.7466 loss_cls: 3.0752 loss_bbox: 1.6714 2024/10/26 18:50:23 - mmengine - INFO - Epoch(train) [21][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:32:55 time: 0.2348 data_time: 0.0224 memory: 2049 grad_norm: 3.1096 loss: 4.6856 loss_cls: 3.0826 loss_bbox: 1.6030 2024/10/26 18:50:36 - mmengine - INFO - Epoch(train) [21][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:32:47 time: 0.2470 data_time: 0.0263 memory: 2049 grad_norm: 2.9889 loss: 4.6165 loss_cls: 3.0084 loss_bbox: 1.6082 2024/10/26 18:50:47 - mmengine - INFO - Epoch(train) [21][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:32:10 time: 0.2300 data_time: 0.0239 memory: 2049 grad_norm: 3.0040 loss: 4.8228 loss_cls: 3.1749 loss_bbox: 1.6479 2024/10/26 18:51:00 - mmengine - INFO - Epoch(train) [21][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:32:26 time: 0.2606 data_time: 0.0258 memory: 2049 grad_norm: 3.0646 loss: 4.7844 loss_cls: 3.0953 loss_bbox: 1.6891 2024/10/26 18:51:12 - mmengine - INFO - Epoch(train) [21][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:32:02 time: 0.2371 data_time: 0.0236 memory: 2049 grad_norm: 3.1142 loss: 4.7115 loss_cls: 3.0658 loss_bbox: 1.6457 2024/10/26 18:51:24 - mmengine - INFO - Epoch(train) [21][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:31:45 time: 0.2419 data_time: 0.0209 memory: 2049 grad_norm: 3.1075 loss: 4.6821 loss_cls: 3.0326 loss_bbox: 1.6495 2024/10/26 18:51:37 - mmengine - INFO - Epoch(train) [21][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:31:56 time: 0.2581 data_time: 0.0284 memory: 2049 grad_norm: 3.0306 loss: 4.6938 loss_cls: 3.0475 loss_bbox: 1.6463 2024/10/26 18:51:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:51:49 - mmengine - INFO - Epoch(train) [21][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:31:20 time: 0.2298 data_time: 0.0222 memory: 2049 grad_norm: 3.0805 loss: 4.6286 loss_cls: 3.0181 loss_bbox: 1.6105 2024/10/26 18:52:01 - mmengine - INFO - Epoch(train) [21][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:31:25 time: 0.2548 data_time: 0.0317 memory: 2049 grad_norm: 2.9331 loss: 4.7024 loss_cls: 3.0753 loss_bbox: 1.6271 2024/10/26 18:52:17 - mmengine - INFO - Epoch(train) [21][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:33:10 time: 0.3152 data_time: 0.1042 memory: 2049 grad_norm: 3.2526 loss: 4.7408 loss_cls: 3.0969 loss_bbox: 1.6439 2024/10/26 18:52:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:52:18 - mmengine - INFO - Saving checkpoint at 21 epochs 2024/10/26 18:52:32 - mmengine - INFO - Epoch(train) [22][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:32:46 time: 0.2374 data_time: 0.0352 memory: 2049 grad_norm: 3.2237 loss: 4.6422 loss_cls: 3.0336 loss_bbox: 1.6086 2024/10/26 18:52:44 - mmengine - INFO - Epoch(train) [22][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:32:08 time: 0.2290 data_time: 0.0291 memory: 2049 grad_norm: 2.8440 loss: 4.7079 loss_cls: 3.0598 loss_bbox: 1.6480 2024/10/26 18:52:55 - mmengine - INFO - Epoch(train) [22][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:31:15 time: 0.2192 data_time: 0.0281 memory: 2049 grad_norm: 2.8126 loss: 4.7245 loss_cls: 3.0431 loss_bbox: 1.6814 2024/10/26 18:53:07 - mmengine - INFO - Epoch(train) [22][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:31:14 time: 0.2515 data_time: 0.0302 memory: 2049 grad_norm: 2.9528 loss: 4.6569 loss_cls: 3.0322 loss_bbox: 1.6247 2024/10/26 18:53:18 - mmengine - INFO - Epoch(train) [22][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:30:28 time: 0.2236 data_time: 0.0230 memory: 2049 grad_norm: 3.1652 loss: 4.6271 loss_cls: 3.0106 loss_bbox: 1.6165 2024/10/26 18:53:30 - mmengine - INFO - Epoch(train) [22][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:29:57 time: 0.2325 data_time: 0.0232 memory: 2049 grad_norm: 3.1747 loss: 4.6690 loss_cls: 3.0338 loss_bbox: 1.6352 2024/10/26 18:53:42 - mmengine - INFO - Epoch(train) [22][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:29:44 time: 0.2440 data_time: 0.0301 memory: 2049 grad_norm: 3.1977 loss: 4.6006 loss_cls: 2.9879 loss_bbox: 1.6126 2024/10/26 18:53:53 - mmengine - INFO - Epoch(train) [22][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:29:00 time: 0.2240 data_time: 0.0273 memory: 2049 grad_norm: 2.9243 loss: 4.8365 loss_cls: 3.1012 loss_bbox: 1.7353 2024/10/26 18:54:06 - mmengine - INFO - Epoch(train) [22][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:29:01 time: 0.2527 data_time: 0.0286 memory: 2049 grad_norm: 3.0531 loss: 4.7915 loss_cls: 3.0585 loss_bbox: 1.7330 2024/10/26 18:54:17 - mmengine - INFO - Epoch(train) [22][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:28:22 time: 0.2273 data_time: 0.0238 memory: 2049 grad_norm: 2.9605 loss: 4.6817 loss_cls: 3.0367 loss_bbox: 1.6449 2024/10/26 18:54:29 - mmengine - INFO - Epoch(train) [22][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:27:53 time: 0.2332 data_time: 0.0237 memory: 2049 grad_norm: 3.1417 loss: 4.6344 loss_cls: 3.0196 loss_bbox: 1.6148 2024/10/26 18:54:41 - mmengine - INFO - Epoch(train) [22][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:27:36 time: 0.2410 data_time: 0.0237 memory: 2049 grad_norm: 2.8821 loss: 4.6661 loss_cls: 3.0510 loss_bbox: 1.6151 2024/10/26 18:54:53 - mmengine - INFO - Epoch(train) [22][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:27:06 time: 0.2321 data_time: 0.0288 memory: 2049 grad_norm: 3.1606 loss: 4.6935 loss_cls: 3.1112 loss_bbox: 1.5823 2024/10/26 18:55:05 - mmengine - INFO - Epoch(train) [22][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:26:59 time: 0.2476 data_time: 0.0278 memory: 2049 grad_norm: 3.0391 loss: 4.8462 loss_cls: 3.1749 loss_bbox: 1.6712 2024/10/26 18:55:17 - mmengine - INFO - Epoch(train) [22][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:26:43 time: 0.2417 data_time: 0.0341 memory: 2049 grad_norm: 3.0136 loss: 4.8639 loss_cls: 3.1252 loss_bbox: 1.7387 2024/10/26 18:55:29 - mmengine - INFO - Epoch(train) [22][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:26:23 time: 0.2387 data_time: 0.0222 memory: 2049 grad_norm: 2.9800 loss: 4.6737 loss_cls: 3.0093 loss_bbox: 1.6644 2024/10/26 18:55:41 - mmengine - INFO - Epoch(train) [22][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:26:13 time: 0.2460 data_time: 0.0305 memory: 2049 grad_norm: 3.1223 loss: 4.6326 loss_cls: 3.0352 loss_bbox: 1.5974 2024/10/26 18:55:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 18:55:53 - mmengine - INFO - Epoch(train) [22][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:37 time: 0.2280 data_time: 0.0236 memory: 2049 grad_norm: 3.0108 loss: 4.7172 loss_cls: 3.0152 loss_bbox: 1.7020 2024/10/26 18:56:06 - mmengine - INFO - Epoch(train) [22][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:47 time: 0.2586 data_time: 0.0298 memory: 2049 grad_norm: 2.9772 loss: 4.7724 loss_cls: 3.0757 loss_bbox: 1.6967 2024/10/26 18:56:17 - mmengine - INFO - Epoch(train) [22][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:20 time: 0.2344 data_time: 0.0227 memory: 2049 grad_norm: 3.1414 loss: 4.6619 loss_cls: 3.0396 loss_bbox: 1.6223 2024/10/26 18:56:30 - mmengine - INFO - Epoch(train) [22][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:16 time: 0.2492 data_time: 0.0220 memory: 2049 grad_norm: 3.0764 loss: 4.6668 loss_cls: 3.0309 loss_bbox: 1.6359 2024/10/26 18:56:42 - mmengine - INFO - Epoch(train) [22][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:06 time: 0.2457 data_time: 0.0203 memory: 2049 grad_norm: 3.0308 loss: 4.6497 loss_cls: 3.0385 loss_bbox: 1.6112 2024/10/26 18:56:54 - mmengine - INFO - Epoch(train) [22][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:44 time: 0.2374 data_time: 0.0214 memory: 2049 grad_norm: 3.0270 loss: 4.7182 loss_cls: 3.0354 loss_bbox: 1.6828 2024/10/26 18:57:07 - mmengine - INFO - Epoch(train) [22][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:04 time: 0.2660 data_time: 0.0280 memory: 2049 grad_norm: 2.8160 loss: 4.7278 loss_cls: 3.0380 loss_bbox: 1.6898 2024/10/26 18:57:19 - mmengine - INFO - Epoch(train) [22][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:37 time: 0.2335 data_time: 0.0215 memory: 2049 grad_norm: 3.2502 loss: 4.7023 loss_cls: 3.0633 loss_bbox: 1.6391 2024/10/26 18:57:32 - mmengine - INFO - Epoch(train) [22][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:35 time: 0.2511 data_time: 0.0203 memory: 2049 grad_norm: 3.0648 loss: 4.6967 loss_cls: 3.0391 loss_bbox: 1.6576 2024/10/26 18:57:45 - mmengine - INFO - Epoch(train) [22][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:42 time: 0.2576 data_time: 0.0253 memory: 2049 grad_norm: 2.9979 loss: 4.6407 loss_cls: 3.0451 loss_bbox: 1.5956 2024/10/26 18:57:57 - mmengine - INFO - Epoch(train) [22][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:24 time: 0.2405 data_time: 0.0200 memory: 2049 grad_norm: 3.2401 loss: 4.6979 loss_cls: 3.0202 loss_bbox: 1.6776 2024/10/26 18:58:10 - mmengine - INFO - Epoch(train) [22][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:52 time: 0.2723 data_time: 0.0265 memory: 2049 grad_norm: 2.9147 loss: 4.6469 loss_cls: 3.0182 loss_bbox: 1.6287 2024/10/26 18:58:22 - mmengine - INFO - Epoch(train) [22][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:28 time: 0.2359 data_time: 0.0199 memory: 2049 grad_norm: 3.2207 loss: 4.6807 loss_cls: 3.0588 loss_bbox: 1.6219 2024/10/26 18:58:35 - mmengine - INFO - Epoch(train) [22][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:32 time: 0.2554 data_time: 0.0198 memory: 2049 grad_norm: 3.0462 loss: 4.7252 loss_cls: 3.0741 loss_bbox: 1.6511 2024/10/26 18:58:47 - mmengine - INFO - Epoch(train) [22][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:34 time: 0.2550 data_time: 0.0201 memory: 2049 grad_norm: 3.0875 loss: 4.7076 loss_cls: 3.0292 loss_bbox: 1.6784 2024/10/26 18:59:00 - mmengine - INFO - Epoch(train) [22][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:20 time: 0.2426 data_time: 0.0201 memory: 2049 grad_norm: 3.0110 loss: 4.6855 loss_cls: 3.0364 loss_bbox: 1.6491 2024/10/26 18:59:13 - mmengine - INFO - Epoch(train) [22][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:48 time: 0.2734 data_time: 0.0287 memory: 2049 grad_norm: 3.0134 loss: 4.6862 loss_cls: 3.0240 loss_bbox: 1.6622 2024/10/26 18:59:25 - mmengine - INFO - Epoch(train) [22][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:29 time: 0.2396 data_time: 0.0241 memory: 2049 grad_norm: 2.8329 loss: 4.7554 loss_cls: 3.0849 loss_bbox: 1.6706 2024/10/26 18:59:38 - mmengine - INFO - Epoch(train) [22][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:36 time: 0.2583 data_time: 0.0214 memory: 2049 grad_norm: 3.0106 loss: 4.7024 loss_cls: 3.0366 loss_bbox: 1.6658 2024/10/26 18:59:51 - mmengine - INFO - Epoch(train) [22][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:33 time: 0.2510 data_time: 0.0211 memory: 2049 grad_norm: 3.1770 loss: 4.6309 loss_cls: 3.0235 loss_bbox: 1.6074 2024/10/26 18:59:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:00:03 - mmengine - INFO - Epoch(train) [22][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:15 time: 0.2407 data_time: 0.0213 memory: 2049 grad_norm: 3.0484 loss: 4.7097 loss_cls: 3.0466 loss_bbox: 1.6631 2024/10/26 19:00:19 - mmengine - INFO - Epoch(train) [22][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:48 time: 0.3225 data_time: 0.0724 memory: 2049 grad_norm: 3.1228 loss: 4.6460 loss_cls: 3.0228 loss_bbox: 1.6232 2024/10/26 19:00:31 - mmengine - INFO - Epoch(train) [22][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:24 time: 0.2359 data_time: 0.0204 memory: 2049 grad_norm: 3.0131 loss: 4.5569 loss_cls: 2.9913 loss_bbox: 1.5656 2024/10/26 19:00:44 - mmengine - INFO - Epoch(train) [22][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:35 time: 0.2621 data_time: 0.0234 memory: 2049 grad_norm: 3.0894 loss: 4.6490 loss_cls: 3.0287 loss_bbox: 1.6203 2024/10/26 19:00:56 - mmengine - INFO - Epoch(train) [22][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:23 time: 0.2452 data_time: 0.0203 memory: 2049 grad_norm: 3.0837 loss: 4.7046 loss_cls: 3.0271 loss_bbox: 1.6775 2024/10/26 19:01:08 - mmengine - INFO - Epoch(train) [22][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:03 time: 0.2390 data_time: 0.0201 memory: 2049 grad_norm: 2.9812 loss: 4.7192 loss_cls: 3.0542 loss_bbox: 1.6650 2024/10/26 19:01:22 - mmengine - INFO - Epoch(train) [22][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:25 time: 0.2709 data_time: 0.0253 memory: 2049 grad_norm: 3.2200 loss: 4.7401 loss_cls: 3.0687 loss_bbox: 1.6714 2024/10/26 19:01:33 - mmengine - INFO - Epoch(train) [22][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:01 time: 0.2356 data_time: 0.0202 memory: 2049 grad_norm: 3.2389 loss: 4.6990 loss_cls: 3.0999 loss_bbox: 1.5992 2024/10/26 19:01:47 - mmengine - INFO - Epoch(train) [22][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:14 time: 0.2642 data_time: 0.0254 memory: 2049 grad_norm: 3.1919 loss: 4.7059 loss_cls: 3.0740 loss_bbox: 1.6319 2024/10/26 19:01:59 - mmengine - INFO - Epoch(train) [22][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:05 time: 0.2479 data_time: 0.0222 memory: 2049 grad_norm: 2.8728 loss: 4.6863 loss_cls: 3.0485 loss_bbox: 1.6378 2024/10/26 19:02:11 - mmengine - INFO - Epoch(train) [22][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:55 time: 0.2466 data_time: 0.0209 memory: 2049 grad_norm: 2.8515 loss: 4.8164 loss_cls: 3.1167 loss_bbox: 1.6997 2024/10/26 19:02:25 - mmengine - INFO - Epoch(train) [22][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:11 time: 0.2664 data_time: 0.0248 memory: 2049 grad_norm: 2.9140 loss: 4.8174 loss_cls: 3.1038 loss_bbox: 1.7136 2024/10/26 19:02:37 - mmengine - INFO - Epoch(train) [22][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:55 time: 0.2426 data_time: 0.0253 memory: 2049 grad_norm: 2.8120 loss: 4.6981 loss_cls: 3.0493 loss_bbox: 1.6488 2024/10/26 19:02:50 - mmengine - INFO - Epoch(train) [22][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:56 time: 0.2556 data_time: 0.0249 memory: 2049 grad_norm: 2.8278 loss: 4.7490 loss_cls: 3.0620 loss_bbox: 1.6870 2024/10/26 19:03:02 - mmengine - INFO - Epoch(train) [22][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:51 time: 0.2507 data_time: 0.0205 memory: 2049 grad_norm: 3.0835 loss: 4.6412 loss_cls: 3.0360 loss_bbox: 1.6052 2024/10/26 19:03:19 - mmengine - INFO - Epoch(train) [22][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:26:24 time: 0.3282 data_time: 0.0935 memory: 2049 grad_norm: 3.3202 loss: 4.7037 loss_cls: 3.0514 loss_bbox: 1.6523 2024/10/26 19:03:33 - mmengine - INFO - Epoch(train) [22][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:27:14 time: 0.2949 data_time: 0.0284 memory: 2049 grad_norm: 3.1179 loss: 4.7369 loss_cls: 3.1147 loss_bbox: 1.6222 2024/10/26 19:03:46 - mmengine - INFO - Epoch(train) [22][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:27:13 time: 0.2543 data_time: 0.0287 memory: 2049 grad_norm: 2.7514 loss: 4.6596 loss_cls: 3.0339 loss_bbox: 1.6257 2024/10/26 19:04:05 - mmengine - INFO - Epoch(train) [22][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:29:38 time: 0.3715 data_time: 0.0378 memory: 2049 grad_norm: 2.9956 loss: 4.6492 loss_cls: 3.0257 loss_bbox: 1.6235 2024/10/26 19:04:21 - mmengine - INFO - Epoch(train) [22][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:30:56 time: 0.3188 data_time: 0.0421 memory: 2049 grad_norm: 3.0710 loss: 4.6300 loss_cls: 3.0308 loss_bbox: 1.5992 2024/10/26 19:04:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:04:33 - mmengine - INFO - Epoch(train) [22][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:30:48 time: 0.2501 data_time: 0.0232 memory: 2049 grad_norm: 2.8562 loss: 4.8308 loss_cls: 3.0979 loss_bbox: 1.7329 2024/10/26 19:04:46 - mmengine - INFO - Epoch(train) [22][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:30:48 time: 0.2568 data_time: 0.0224 memory: 2049 grad_norm: 3.0934 loss: 4.7144 loss_cls: 3.0789 loss_bbox: 1.6356 2024/10/26 19:04:58 - mmengine - INFO - Epoch(train) [22][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:30:28 time: 0.2399 data_time: 0.0203 memory: 2049 grad_norm: 3.1128 loss: 4.7458 loss_cls: 3.1386 loss_bbox: 1.6073 2024/10/26 19:05:11 - mmengine - INFO - Epoch(train) [22][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:30:28 time: 0.2569 data_time: 0.0245 memory: 2049 grad_norm: 3.1296 loss: 4.6176 loss_cls: 2.9965 loss_bbox: 1.6212 2024/10/26 19:05:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:05:12 - mmengine - INFO - Saving checkpoint at 22 epochs 2024/10/26 19:05:26 - mmengine - INFO - Epoch(train) [23][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:30:03 time: 0.2350 data_time: 0.0328 memory: 2049 grad_norm: 2.9448 loss: 4.5811 loss_cls: 3.0142 loss_bbox: 1.5669 2024/10/26 19:05:38 - mmengine - INFO - Epoch(train) [23][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:29:48 time: 0.2448 data_time: 0.0274 memory: 2049 grad_norm: 3.2511 loss: 4.6558 loss_cls: 3.0358 loss_bbox: 1.6200 2024/10/26 19:05:49 - mmengine - INFO - Epoch(train) [23][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:29:18 time: 0.2317 data_time: 0.0212 memory: 2049 grad_norm: 2.9374 loss: 4.5215 loss_cls: 2.9715 loss_bbox: 1.5500 2024/10/26 19:06:01 - mmengine - INFO - Epoch(train) [23][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:28:40 time: 0.2253 data_time: 0.0219 memory: 2049 grad_norm: 3.0577 loss: 4.7305 loss_cls: 3.0525 loss_bbox: 1.6779 2024/10/26 19:06:13 - mmengine - INFO - Epoch(train) [23][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:28:24 time: 0.2432 data_time: 0.0221 memory: 2049 grad_norm: 2.8918 loss: 4.7146 loss_cls: 3.0434 loss_bbox: 1.6712 2024/10/26 19:06:25 - mmengine - INFO - Epoch(train) [23][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:28:00 time: 0.2367 data_time: 0.0217 memory: 2049 grad_norm: 3.0252 loss: 4.7368 loss_cls: 3.1141 loss_bbox: 1.6227 2024/10/26 19:06:37 - mmengine - INFO - Epoch(train) [23][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:27:47 time: 0.2458 data_time: 0.0277 memory: 2049 grad_norm: 3.1061 loss: 4.6083 loss_cls: 2.9893 loss_bbox: 1.6189 2024/10/26 19:06:49 - mmengine - INFO - Epoch(train) [23][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:27:20 time: 0.2342 data_time: 0.0208 memory: 2049 grad_norm: 2.8888 loss: 4.6177 loss_cls: 3.0196 loss_bbox: 1.5981 2024/10/26 19:07:00 - mmengine - INFO - Epoch(train) [23][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:26:49 time: 0.2306 data_time: 0.0207 memory: 2049 grad_norm: 2.9754 loss: 4.7639 loss_cls: 3.0858 loss_bbox: 1.6781 2024/10/26 19:07:12 - mmengine - INFO - Epoch(train) [23][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:26:30 time: 0.2405 data_time: 0.0254 memory: 2049 grad_norm: 3.3256 loss: 4.6056 loss_cls: 2.9785 loss_bbox: 1.6271 2024/10/26 19:07:24 - mmengine - INFO - Epoch(train) [23][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:56 time: 0.2282 data_time: 0.0203 memory: 2049 grad_norm: 2.9192 loss: 4.6574 loss_cls: 3.0086 loss_bbox: 1.6488 2024/10/26 19:07:37 - mmengine - INFO - Epoch(train) [23][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:57 time: 0.2575 data_time: 0.0253 memory: 2049 grad_norm: 3.3213 loss: 4.7615 loss_cls: 3.0566 loss_bbox: 1.7050 2024/10/26 19:07:49 - mmengine - INFO - Epoch(train) [23][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:45 time: 0.2466 data_time: 0.0222 memory: 2049 grad_norm: 3.0417 loss: 4.6058 loss_cls: 3.0287 loss_bbox: 1.5770 2024/10/26 19:08:01 - mmengine - INFO - Epoch(train) [23][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:30 time: 0.2439 data_time: 0.0239 memory: 2049 grad_norm: 2.8447 loss: 4.6802 loss_cls: 3.0346 loss_bbox: 1.6456 2024/10/26 19:08:14 - mmengine - INFO - Epoch(train) [23][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:30 time: 0.2568 data_time: 0.0251 memory: 2049 grad_norm: 2.9594 loss: 4.7468 loss_cls: 3.0346 loss_bbox: 1.7121 2024/10/26 19:08:25 - mmengine - INFO - Epoch(train) [23][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:59 time: 0.2302 data_time: 0.0206 memory: 2049 grad_norm: 3.1850 loss: 4.6109 loss_cls: 2.9684 loss_bbox: 1.6425 2024/10/26 19:08:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:08:38 - mmengine - INFO - Epoch(train) [23][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:45 time: 0.2444 data_time: 0.0255 memory: 2049 grad_norm: 3.1330 loss: 4.6461 loss_cls: 3.0350 loss_bbox: 1.6112 2024/10/26 19:08:50 - mmengine - INFO - Epoch(train) [23][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:35 time: 0.2483 data_time: 0.0201 memory: 2049 grad_norm: 3.0922 loss: 4.6685 loss_cls: 3.0591 loss_bbox: 1.6094 2024/10/26 19:09:02 - mmengine - INFO - Epoch(train) [23][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:21 time: 0.2450 data_time: 0.0262 memory: 2049 grad_norm: 2.8707 loss: 4.6491 loss_cls: 3.0216 loss_bbox: 1.6275 2024/10/26 19:09:18 - mmengine - INFO - Epoch(train) [23][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:33 time: 0.3208 data_time: 0.0789 memory: 2049 grad_norm: 3.1174 loss: 4.5826 loss_cls: 2.9890 loss_bbox: 1.5936 2024/10/26 19:09:30 - mmengine - INFO - Epoch(train) [23][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:25:09 time: 0.2356 data_time: 0.0205 memory: 2049 grad_norm: 3.1674 loss: 4.7191 loss_cls: 3.0382 loss_bbox: 1.6809 2024/10/26 19:09:42 - mmengine - INFO - Epoch(train) [23][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:52 time: 0.2423 data_time: 0.0207 memory: 2049 grad_norm: 2.9746 loss: 4.5213 loss_cls: 2.9681 loss_bbox: 1.5532 2024/10/26 19:09:54 - mmengine - INFO - Epoch(train) [23][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:35 time: 0.2425 data_time: 0.0209 memory: 2049 grad_norm: 3.0741 loss: 4.8205 loss_cls: 3.1087 loss_bbox: 1.7118 2024/10/26 19:10:06 - mmengine - INFO - Epoch(train) [23][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:24:12 time: 0.2370 data_time: 0.0219 memory: 2049 grad_norm: 2.9642 loss: 4.6105 loss_cls: 3.0428 loss_bbox: 1.5676 2024/10/26 19:10:18 - mmengine - INFO - Epoch(train) [23][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:23:56 time: 0.2426 data_time: 0.0231 memory: 2049 grad_norm: 2.9680 loss: 4.6913 loss_cls: 3.0678 loss_bbox: 1.6235 2024/10/26 19:10:30 - mmengine - INFO - Epoch(train) [23][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:23:26 time: 0.2309 data_time: 0.0224 memory: 2049 grad_norm: 2.9871 loss: 4.7238 loss_cls: 3.0755 loss_bbox: 1.6483 2024/10/26 19:10:41 - mmengine - INFO - Epoch(train) [23][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:22:45 time: 0.2203 data_time: 0.0255 memory: 2049 grad_norm: 3.1248 loss: 4.6154 loss_cls: 3.0372 loss_bbox: 1.5782 2024/10/26 19:10:53 - mmengine - INFO - Epoch(train) [23][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:22:37 time: 0.2500 data_time: 0.0244 memory: 2049 grad_norm: 3.2021 loss: 4.6290 loss_cls: 3.0312 loss_bbox: 1.5978 2024/10/26 19:11:05 - mmengine - INFO - Epoch(train) [23][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:21:58 time: 0.2217 data_time: 0.0217 memory: 2049 grad_norm: 2.8887 loss: 4.6629 loss_cls: 3.0332 loss_bbox: 1.6297 2024/10/26 19:11:17 - mmengine - INFO - Epoch(train) [23][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:21:48 time: 0.2482 data_time: 0.0276 memory: 2049 grad_norm: 3.1779 loss: 4.7506 loss_cls: 3.0873 loss_bbox: 1.6632 2024/10/26 19:11:29 - mmengine - INFO - Epoch(train) [23][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:21:24 time: 0.2351 data_time: 0.0208 memory: 2049 grad_norm: 3.0417 loss: 4.6857 loss_cls: 3.0615 loss_bbox: 1.6242 2024/10/26 19:11:40 - mmengine - INFO - Epoch(train) [23][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:20:55 time: 0.2311 data_time: 0.0207 memory: 2049 grad_norm: 2.9927 loss: 4.6644 loss_cls: 3.0264 loss_bbox: 1.6380 2024/10/26 19:11:52 - mmengine - INFO - Epoch(train) [23][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:20:39 time: 0.2426 data_time: 0.0216 memory: 2049 grad_norm: 3.1978 loss: 4.6581 loss_cls: 3.0106 loss_bbox: 1.6475 2024/10/26 19:12:03 - mmengine - INFO - Epoch(train) [23][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:20:00 time: 0.2212 data_time: 0.0218 memory: 2049 grad_norm: 3.1049 loss: 4.6701 loss_cls: 3.0396 loss_bbox: 1.6305 2024/10/26 19:12:18 - mmengine - INFO - Epoch(train) [23][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:20:31 time: 0.2861 data_time: 0.0638 memory: 2049 grad_norm: 2.9665 loss: 4.7185 loss_cls: 3.0934 loss_bbox: 1.6251 2024/10/26 19:12:29 - mmengine - INFO - Epoch(train) [23][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:20:03 time: 0.2317 data_time: 0.0267 memory: 2049 grad_norm: 3.0624 loss: 4.8597 loss_cls: 3.1492 loss_bbox: 1.7105 2024/10/26 19:12:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:12:42 - mmengine - INFO - Epoch(train) [23][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:53 time: 0.2479 data_time: 0.0359 memory: 2049 grad_norm: 2.9360 loss: 4.6836 loss_cls: 3.0706 loss_bbox: 1.6129 2024/10/26 19:12:54 - mmengine - INFO - Epoch(train) [23][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:34 time: 0.2404 data_time: 0.0243 memory: 2049 grad_norm: 3.0636 loss: 4.6362 loss_cls: 3.0204 loss_bbox: 1.6158 2024/10/26 19:13:05 - mmengine - INFO - Epoch(train) [23][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:03 time: 0.2279 data_time: 0.0241 memory: 2049 grad_norm: 3.1629 loss: 4.7242 loss_cls: 3.1103 loss_bbox: 1.6139 2024/10/26 19:13:19 - mmengine - INFO - Epoch(train) [23][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:18 time: 0.2721 data_time: 0.0511 memory: 2049 grad_norm: 2.9393 loss: 4.6635 loss_cls: 3.0141 loss_bbox: 1.6494 2024/10/26 19:13:31 - mmengine - INFO - Epoch(train) [23][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:18:55 time: 0.2363 data_time: 0.0244 memory: 2049 grad_norm: 2.8516 loss: 4.7391 loss_cls: 3.0480 loss_bbox: 1.6912 2024/10/26 19:13:42 - mmengine - INFO - Epoch(train) [23][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:18:33 time: 0.2363 data_time: 0.0267 memory: 2049 grad_norm: 3.2956 loss: 4.6930 loss_cls: 3.0417 loss_bbox: 1.6513 2024/10/26 19:13:55 - mmengine - INFO - Epoch(train) [23][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:18:27 time: 0.2523 data_time: 0.0242 memory: 2049 grad_norm: 2.9469 loss: 4.6711 loss_cls: 3.0360 loss_bbox: 1.6351 2024/10/26 19:14:07 - mmengine - INFO - Epoch(train) [23][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:18:10 time: 0.2411 data_time: 0.0236 memory: 2049 grad_norm: 3.0552 loss: 4.6577 loss_cls: 3.0048 loss_bbox: 1.6529 2024/10/26 19:14:20 - mmengine - INFO - Epoch(train) [23][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:18:03 time: 0.2515 data_time: 0.0238 memory: 2049 grad_norm: 2.8707 loss: 4.8120 loss_cls: 3.1067 loss_bbox: 1.7053 2024/10/26 19:14:32 - mmengine - INFO - Epoch(train) [23][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:52 time: 0.2475 data_time: 0.0290 memory: 2049 grad_norm: 2.9529 loss: 4.5783 loss_cls: 2.9558 loss_bbox: 1.6225 2024/10/26 19:14:45 - mmengine - INFO - Epoch(train) [23][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:49 time: 0.2546 data_time: 0.0251 memory: 2049 grad_norm: 2.9718 loss: 4.6790 loss_cls: 3.0385 loss_bbox: 1.6405 2024/10/26 19:14:58 - mmengine - INFO - Epoch(train) [23][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:47 time: 0.2561 data_time: 0.0282 memory: 2049 grad_norm: 3.0983 loss: 4.7479 loss_cls: 3.0580 loss_bbox: 1.6898 2024/10/26 19:15:10 - mmengine - INFO - Epoch(train) [23][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:41 time: 0.2525 data_time: 0.0248 memory: 2049 grad_norm: 2.9547 loss: 4.7510 loss_cls: 3.0980 loss_bbox: 1.6530 2024/10/26 19:15:23 - mmengine - INFO - Epoch(train) [23][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:45 time: 0.2627 data_time: 0.0287 memory: 2049 grad_norm: 3.2506 loss: 4.5826 loss_cls: 2.9905 loss_bbox: 1.5921 2024/10/26 19:15:36 - mmengine - INFO - Epoch(train) [23][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:34 time: 0.2472 data_time: 0.0247 memory: 2049 grad_norm: 2.9213 loss: 4.6880 loss_cls: 3.0647 loss_bbox: 1.6234 2024/10/26 19:15:49 - mmengine - INFO - Epoch(train) [23][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:41 time: 0.2653 data_time: 0.0250 memory: 2049 grad_norm: 3.0100 loss: 4.6351 loss_cls: 3.0407 loss_bbox: 1.5944 2024/10/26 19:16:02 - mmengine - INFO - Epoch(train) [23][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:38 time: 0.2562 data_time: 0.0306 memory: 2049 grad_norm: 2.9955 loss: 4.6445 loss_cls: 3.0418 loss_bbox: 1.6027 2024/10/26 19:16:19 - mmengine - INFO - Epoch(train) [23][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:10 time: 0.3509 data_time: 0.1163 memory: 2049 grad_norm: 2.9599 loss: 4.6145 loss_cls: 3.0224 loss_bbox: 1.5921 2024/10/26 19:16:33 - mmengine - INFO - Epoch(train) [23][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:13 time: 0.2624 data_time: 0.0251 memory: 2049 grad_norm: 3.0762 loss: 4.7124 loss_cls: 3.0664 loss_bbox: 1.6459 2024/10/26 19:16:45 - mmengine - INFO - Epoch(train) [23][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:08 time: 0.2539 data_time: 0.0252 memory: 2049 grad_norm: 3.0208 loss: 4.7355 loss_cls: 3.1049 loss_bbox: 1.6306 2024/10/26 19:16:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:16:59 - mmengine - INFO - Epoch(train) [23][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:17 time: 0.2685 data_time: 0.0337 memory: 2049 grad_norm: 3.1829 loss: 4.6877 loss_cls: 3.0354 loss_bbox: 1.6523 2024/10/26 19:17:11 - mmengine - INFO - Epoch(train) [23][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:10 time: 0.2523 data_time: 0.0255 memory: 2049 grad_norm: 3.0275 loss: 4.6413 loss_cls: 3.0027 loss_bbox: 1.6386 2024/10/26 19:17:25 - mmengine - INFO - Epoch(train) [23][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:22 time: 0.2719 data_time: 0.0332 memory: 2049 grad_norm: 2.9752 loss: 4.7122 loss_cls: 3.0291 loss_bbox: 1.6831 2024/10/26 19:17:37 - mmengine - INFO - Epoch(train) [23][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:14 time: 0.2509 data_time: 0.0255 memory: 2049 grad_norm: 2.9461 loss: 4.6700 loss_cls: 3.0370 loss_bbox: 1.6330 2024/10/26 19:17:50 - mmengine - INFO - Epoch(train) [23][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:19:07 time: 0.2522 data_time: 0.0236 memory: 2049 grad_norm: 3.0366 loss: 4.6626 loss_cls: 3.0367 loss_bbox: 1.6260 2024/10/26 19:17:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:17:51 - mmengine - INFO - Saving checkpoint at 23 epochs 2024/10/26 19:18:06 - mmengine - INFO - Epoch(train) [24][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:18:59 time: 0.2521 data_time: 0.0348 memory: 2049 grad_norm: 2.9870 loss: 4.6570 loss_cls: 3.0120 loss_bbox: 1.6451 2024/10/26 19:18:18 - mmengine - INFO - Epoch(train) [24][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:18:42 time: 0.2429 data_time: 0.0284 memory: 2049 grad_norm: 3.0607 loss: 4.6665 loss_cls: 3.0395 loss_bbox: 1.6270 2024/10/26 19:18:30 - mmengine - INFO - Epoch(train) [24][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:18:31 time: 0.2483 data_time: 0.0250 memory: 2049 grad_norm: 2.9517 loss: 4.6848 loss_cls: 3.0686 loss_bbox: 1.6161 2024/10/26 19:18:43 - mmengine - INFO - Epoch(train) [24][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:18:16 time: 0.2435 data_time: 0.0313 memory: 2049 grad_norm: 3.1834 loss: 4.6965 loss_cls: 3.0520 loss_bbox: 1.6446 2024/10/26 19:18:55 - mmengine - INFO - Epoch(train) [24][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:58 time: 0.2410 data_time: 0.0263 memory: 2049 grad_norm: 2.8097 loss: 4.7550 loss_cls: 3.1125 loss_bbox: 1.6425 2024/10/26 19:19:07 - mmengine - INFO - Epoch(train) [24][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:44 time: 0.2456 data_time: 0.0260 memory: 2049 grad_norm: 2.9641 loss: 4.7304 loss_cls: 3.0790 loss_bbox: 1.6514 2024/10/26 19:19:19 - mmengine - INFO - Epoch(train) [24][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:27 time: 0.2413 data_time: 0.0265 memory: 2049 grad_norm: 3.1631 loss: 4.7055 loss_cls: 3.0857 loss_bbox: 1.6198 2024/10/26 19:19:32 - mmengine - INFO - Epoch(train) [24][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:26 time: 0.2590 data_time: 0.0364 memory: 2049 grad_norm: 3.0092 loss: 4.6765 loss_cls: 3.0474 loss_bbox: 1.6290 2024/10/26 19:19:44 - mmengine - INFO - Epoch(train) [24][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:17:10 time: 0.2436 data_time: 0.0251 memory: 2049 grad_norm: 3.0522 loss: 4.7116 loss_cls: 3.0412 loss_bbox: 1.6703 2024/10/26 19:19:57 - mmengine - INFO - Epoch(train) [24][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:16:59 time: 0.2480 data_time: 0.0253 memory: 2049 grad_norm: 2.8509 loss: 4.5735 loss_cls: 2.9595 loss_bbox: 1.6140 2024/10/26 19:20:09 - mmengine - INFO - Epoch(train) [24][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:16:45 time: 0.2454 data_time: 0.0251 memory: 2049 grad_norm: 3.1327 loss: 4.6275 loss_cls: 3.0095 loss_bbox: 1.6180 2024/10/26 19:20:21 - mmengine - INFO - Epoch(train) [24][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:16:25 time: 0.2383 data_time: 0.0252 memory: 2049 grad_norm: 3.0078 loss: 4.7633 loss_cls: 3.1220 loss_bbox: 1.6413 2024/10/26 19:20:34 - mmengine - INFO - Epoch(train) [24][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:16:27 time: 0.2624 data_time: 0.0393 memory: 2049 grad_norm: 3.0875 loss: 4.6867 loss_cls: 3.0557 loss_bbox: 1.6310 2024/10/26 19:20:46 - mmengine - INFO - Epoch(train) [24][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:16:16 time: 0.2488 data_time: 0.0263 memory: 2049 grad_norm: 3.0508 loss: 4.6230 loss_cls: 3.0103 loss_bbox: 1.6127 2024/10/26 19:20:58 - mmengine - INFO - Epoch(train) [24][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:15:59 time: 0.2418 data_time: 0.0320 memory: 2049 grad_norm: 2.8309 loss: 4.6053 loss_cls: 2.9795 loss_bbox: 1.6258 2024/10/26 19:21:01 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:21:11 - mmengine - INFO - Epoch(train) [24][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:15:47 time: 0.2472 data_time: 0.0242 memory: 2049 grad_norm: 2.9864 loss: 4.6150 loss_cls: 2.9956 loss_bbox: 1.6194 2024/10/26 19:21:23 - mmengine - INFO - Epoch(train) [24][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:15:25 time: 0.2367 data_time: 0.0247 memory: 2049 grad_norm: 3.0715 loss: 4.8124 loss_cls: 3.0995 loss_bbox: 1.7128 2024/10/26 19:21:35 - mmengine - INFO - Epoch(train) [24][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:15:13 time: 0.2465 data_time: 0.0313 memory: 2049 grad_norm: 3.1056 loss: 4.6390 loss_cls: 3.0534 loss_bbox: 1.5856 2024/10/26 19:21:47 - mmengine - INFO - Epoch(train) [24][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:14:52 time: 0.2373 data_time: 0.0190 memory: 2049 grad_norm: 2.8738 loss: 4.7284 loss_cls: 3.0737 loss_bbox: 1.6546 2024/10/26 19:21:59 - mmengine - INFO - Epoch(train) [24][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:14:31 time: 0.2374 data_time: 0.0204 memory: 2049 grad_norm: 3.3479 loss: 4.6767 loss_cls: 3.0306 loss_bbox: 1.6460 2024/10/26 19:22:11 - mmengine - INFO - Epoch(train) [24][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:14:16 time: 0.2440 data_time: 0.0189 memory: 2049 grad_norm: 3.1077 loss: 4.7144 loss_cls: 3.0349 loss_bbox: 1.6795 2024/10/26 19:22:23 - mmengine - INFO - Epoch(train) [24][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:13:55 time: 0.2371 data_time: 0.0190 memory: 2049 grad_norm: 2.9554 loss: 4.7722 loss_cls: 3.0903 loss_bbox: 1.6820 2024/10/26 19:22:35 - mmengine - INFO - Epoch(train) [24][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:13:37 time: 0.2406 data_time: 0.0183 memory: 2049 grad_norm: 2.9866 loss: 4.7570 loss_cls: 3.0613 loss_bbox: 1.6957 2024/10/26 19:22:46 - mmengine - INFO - Epoch(train) [24][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:13:11 time: 0.2317 data_time: 0.0186 memory: 2049 grad_norm: 3.0995 loss: 4.7932 loss_cls: 3.0427 loss_bbox: 1.7504 2024/10/26 19:22:59 - mmengine - INFO - Epoch(train) [24][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:12:57 time: 0.2450 data_time: 0.0240 memory: 2049 grad_norm: 3.0683 loss: 4.6372 loss_cls: 3.0079 loss_bbox: 1.6293 2024/10/26 19:23:11 - mmengine - INFO - Epoch(train) [24][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:12:35 time: 0.2361 data_time: 0.0204 memory: 2049 grad_norm: 2.9629 loss: 4.6492 loss_cls: 3.0377 loss_bbox: 1.6115 2024/10/26 19:23:23 - mmengine - INFO - Epoch(train) [24][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:12:23 time: 0.2465 data_time: 0.0238 memory: 2049 grad_norm: 3.0649 loss: 4.7056 loss_cls: 3.0711 loss_bbox: 1.6345 2024/10/26 19:23:34 - mmengine - INFO - Epoch(train) [24][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:11:55 time: 0.2290 data_time: 0.0228 memory: 2049 grad_norm: 3.2736 loss: 4.7499 loss_cls: 3.0941 loss_bbox: 1.6559 2024/10/26 19:23:46 - mmengine - INFO - Epoch(train) [24][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:11:35 time: 0.2381 data_time: 0.0193 memory: 2049 grad_norm: 3.0703 loss: 4.6853 loss_cls: 3.0528 loss_bbox: 1.6325 2024/10/26 19:23:59 - mmengine - INFO - Epoch(train) [24][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:11:25 time: 0.2490 data_time: 0.0193 memory: 2049 grad_norm: 3.0539 loss: 4.7241 loss_cls: 3.0635 loss_bbox: 1.6606 2024/10/26 19:24:11 - mmengine - INFO - Epoch(train) [24][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:11:09 time: 0.2423 data_time: 0.0197 memory: 2049 grad_norm: 2.9126 loss: 4.6982 loss_cls: 3.0509 loss_bbox: 1.6473 2024/10/26 19:24:23 - mmengine - INFO - Epoch(train) [24][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:11:03 time: 0.2543 data_time: 0.0260 memory: 2049 grad_norm: 3.0208 loss: 4.6604 loss_cls: 3.0229 loss_bbox: 1.6376 2024/10/26 19:24:35 - mmengine - INFO - Epoch(train) [24][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:10:41 time: 0.2357 data_time: 0.0196 memory: 2049 grad_norm: 3.0383 loss: 4.5987 loss_cls: 3.0084 loss_bbox: 1.5903 2024/10/26 19:24:47 - mmengine - INFO - Epoch(train) [24][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:10:21 time: 0.2378 data_time: 0.0193 memory: 2049 grad_norm: 3.1738 loss: 4.6829 loss_cls: 3.0387 loss_bbox: 1.6441 2024/10/26 19:25:00 - mmengine - INFO - Epoch(train) [24][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:10:14 time: 0.2528 data_time: 0.0242 memory: 2049 grad_norm: 2.9482 loss: 4.7028 loss_cls: 3.0561 loss_bbox: 1.6467 2024/10/26 19:25:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:25:11 - mmengine - INFO - Epoch(train) [24][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:09:49 time: 0.2313 data_time: 0.0198 memory: 2049 grad_norm: 3.0821 loss: 4.6837 loss_cls: 3.0583 loss_bbox: 1.6254 2024/10/26 19:25:24 - mmengine - INFO - Epoch(train) [24][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:09:40 time: 0.2510 data_time: 0.0198 memory: 2049 grad_norm: 2.9492 loss: 4.6269 loss_cls: 3.0012 loss_bbox: 1.6257 2024/10/26 19:25:36 - mmengine - INFO - Epoch(train) [24][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:09:23 time: 0.2407 data_time: 0.0208 memory: 2049 grad_norm: 3.0093 loss: 4.8852 loss_cls: 3.1659 loss_bbox: 1.7193 2024/10/26 19:25:48 - mmengine - INFO - Epoch(train) [24][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:09:10 time: 0.2460 data_time: 0.0226 memory: 2049 grad_norm: 2.9752 loss: 4.6691 loss_cls: 3.0303 loss_bbox: 1.6389 2024/10/26 19:26:01 - mmengine - INFO - Epoch(train) [24][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:09:04 time: 0.2534 data_time: 0.0195 memory: 2049 grad_norm: 3.1637 loss: 4.7571 loss_cls: 3.0793 loss_bbox: 1.6778 2024/10/26 19:26:17 - mmengine - INFO - Epoch(train) [24][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:10:00 time: 0.3265 data_time: 0.1088 memory: 2049 grad_norm: 3.2034 loss: 4.6489 loss_cls: 2.9987 loss_bbox: 1.6502 2024/10/26 19:26:30 - mmengine - INFO - Epoch(train) [24][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:09:50 time: 0.2502 data_time: 0.0194 memory: 2049 grad_norm: 3.0846 loss: 4.6789 loss_cls: 3.0300 loss_bbox: 1.6489 2024/10/26 19:26:42 - mmengine - INFO - Epoch(train) [24][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:09:35 time: 0.2435 data_time: 0.0196 memory: 2049 grad_norm: 3.1029 loss: 4.6310 loss_cls: 3.0077 loss_bbox: 1.6233 2024/10/26 19:26:54 - mmengine - INFO - Epoch(train) [24][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:09:17 time: 0.2407 data_time: 0.0217 memory: 2049 grad_norm: 2.9928 loss: 4.8302 loss_cls: 3.1213 loss_bbox: 1.7089 2024/10/26 19:27:07 - mmengine - INFO - Epoch(train) [24][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:09:16 time: 0.2602 data_time: 0.0259 memory: 2049 grad_norm: 3.0453 loss: 4.6556 loss_cls: 3.0401 loss_bbox: 1.6154 2024/10/26 19:27:19 - mmengine - INFO - Epoch(train) [24][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:08:53 time: 0.2335 data_time: 0.0198 memory: 2049 grad_norm: 2.8901 loss: 4.7199 loss_cls: 3.0512 loss_bbox: 1.6686 2024/10/26 19:27:32 - mmengine - INFO - Epoch(train) [24][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:08:52 time: 0.2602 data_time: 0.0239 memory: 2049 grad_norm: 3.0744 loss: 4.7015 loss_cls: 3.0545 loss_bbox: 1.6469 2024/10/26 19:27:44 - mmengine - INFO - Epoch(train) [24][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:08:41 time: 0.2489 data_time: 0.0286 memory: 2049 grad_norm: 2.9717 loss: 4.5898 loss_cls: 3.0050 loss_bbox: 1.5848 2024/10/26 19:27:57 - mmengine - INFO - Epoch(train) [24][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:08:37 time: 0.2561 data_time: 0.0204 memory: 2049 grad_norm: 2.9788 loss: 4.6790 loss_cls: 3.0122 loss_bbox: 1.6667 2024/10/26 19:28:09 - mmengine - INFO - Epoch(train) [24][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:08:19 time: 0.2408 data_time: 0.0223 memory: 2049 grad_norm: 3.2410 loss: 4.7675 loss_cls: 3.1073 loss_bbox: 1.6603 2024/10/26 19:28:21 - mmengine - INFO - Epoch(train) [24][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:08:05 time: 0.2444 data_time: 0.0228 memory: 2049 grad_norm: 3.0765 loss: 4.7578 loss_cls: 3.0796 loss_bbox: 1.6782 2024/10/26 19:28:34 - mmengine - INFO - Epoch(train) [24][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:08:01 time: 0.2569 data_time: 0.0202 memory: 2049 grad_norm: 3.0353 loss: 4.7093 loss_cls: 3.0349 loss_bbox: 1.6744 2024/10/26 19:28:46 - mmengine - INFO - Epoch(train) [24][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:07:42 time: 0.2386 data_time: 0.0249 memory: 2049 grad_norm: 3.0417 loss: 4.7415 loss_cls: 3.0497 loss_bbox: 1.6917 2024/10/26 19:29:00 - mmengine - INFO - Epoch(train) [24][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:07:50 time: 0.2719 data_time: 0.0364 memory: 2049 grad_norm: 3.0472 loss: 4.6025 loss_cls: 2.9983 loss_bbox: 1.6042 2024/10/26 19:29:12 - mmengine - INFO - Epoch(train) [24][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:07:36 time: 0.2444 data_time: 0.0210 memory: 2049 grad_norm: 3.0210 loss: 4.7808 loss_cls: 3.1140 loss_bbox: 1.6668 2024/10/26 19:29:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:29:24 - mmengine - INFO - Epoch(train) [24][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:07:19 time: 0.2419 data_time: 0.0219 memory: 2049 grad_norm: 2.8674 loss: 4.6905 loss_cls: 3.0769 loss_bbox: 1.6136 2024/10/26 19:29:37 - mmengine - INFO - Epoch(train) [24][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:07:13 time: 0.2546 data_time: 0.0239 memory: 2049 grad_norm: 2.9047 loss: 4.6091 loss_cls: 3.0270 loss_bbox: 1.5822 2024/10/26 19:29:49 - mmengine - INFO - Epoch(train) [24][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:06:53 time: 0.2369 data_time: 0.0219 memory: 2049 grad_norm: 3.0777 loss: 4.6984 loss_cls: 3.0349 loss_bbox: 1.6635 2024/10/26 19:30:01 - mmengine - INFO - Epoch(train) [24][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:06:43 time: 0.2507 data_time: 0.0236 memory: 2049 grad_norm: 2.9973 loss: 4.7186 loss_cls: 3.0651 loss_bbox: 1.6535 2024/10/26 19:30:13 - mmengine - INFO - Epoch(train) [24][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:06:26 time: 0.2399 data_time: 0.0197 memory: 2049 grad_norm: 2.8154 loss: 4.6045 loss_cls: 3.0027 loss_bbox: 1.6018 2024/10/26 19:30:25 - mmengine - INFO - Epoch(train) [24][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:06:05 time: 0.2362 data_time: 0.0200 memory: 2049 grad_norm: 3.1080 loss: 4.7542 loss_cls: 3.1014 loss_bbox: 1.6527 2024/10/26 19:30:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:30:26 - mmengine - INFO - Saving checkpoint at 24 epochs 2024/10/26 19:30:41 - mmengine - INFO - Epoch(train) [25][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:06:04 time: 0.2575 data_time: 0.0397 memory: 2049 grad_norm: 3.1990 loss: 4.5743 loss_cls: 2.9969 loss_bbox: 1.5774 2024/10/26 19:30:53 - mmengine - INFO - Epoch(train) [25][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:05:36 time: 0.2267 data_time: 0.0241 memory: 2049 grad_norm: 2.8834 loss: 4.7029 loss_cls: 3.0803 loss_bbox: 1.6225 2024/10/26 19:31:05 - mmengine - INFO - Epoch(train) [25][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:05:25 time: 0.2492 data_time: 0.0282 memory: 2049 grad_norm: 3.2178 loss: 4.6720 loss_cls: 3.0331 loss_bbox: 1.6389 2024/10/26 19:31:17 - mmengine - INFO - Epoch(train) [25][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:04:58 time: 0.2285 data_time: 0.0233 memory: 2049 grad_norm: 3.0314 loss: 4.6610 loss_cls: 3.0428 loss_bbox: 1.6182 2024/10/26 19:31:29 - mmengine - INFO - Epoch(train) [25][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:04:49 time: 0.2502 data_time: 0.0334 memory: 2049 grad_norm: 3.2233 loss: 4.5842 loss_cls: 3.0363 loss_bbox: 1.5479 2024/10/26 19:31:42 - mmengine - INFO - Epoch(train) [25][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:04:39 time: 0.2503 data_time: 0.0227 memory: 2049 grad_norm: 2.9998 loss: 4.7460 loss_cls: 3.0591 loss_bbox: 1.6869 2024/10/26 19:31:54 - mmengine - INFO - Epoch(train) [25][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:04:23 time: 0.2414 data_time: 0.0333 memory: 2049 grad_norm: 3.0857 loss: 4.6694 loss_cls: 3.0865 loss_bbox: 1.5829 2024/10/26 19:32:07 - mmengine - INFO - Epoch(train) [25][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:04:19 time: 0.2576 data_time: 0.0211 memory: 2049 grad_norm: 2.9890 loss: 4.5860 loss_cls: 2.9827 loss_bbox: 1.6033 2024/10/26 19:32:18 - mmengine - INFO - Epoch(train) [25][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:03:57 time: 0.2347 data_time: 0.0245 memory: 2049 grad_norm: 3.1217 loss: 4.7136 loss_cls: 3.0730 loss_bbox: 1.6406 2024/10/26 19:32:31 - mmengine - INFO - Epoch(train) [25][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:03:45 time: 0.2472 data_time: 0.0200 memory: 2049 grad_norm: 2.9925 loss: 4.5977 loss_cls: 3.0289 loss_bbox: 1.5688 2024/10/26 19:32:43 - mmengine - INFO - Epoch(train) [25][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:03:30 time: 0.2438 data_time: 0.0257 memory: 2049 grad_norm: 3.0747 loss: 4.6844 loss_cls: 3.0583 loss_bbox: 1.6261 2024/10/26 19:32:55 - mmengine - INFO - Epoch(train) [25][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:03:06 time: 0.2312 data_time: 0.0214 memory: 2049 grad_norm: 3.1886 loss: 4.7165 loss_cls: 3.1018 loss_bbox: 1.6148 2024/10/26 19:33:08 - mmengine - INFO - Epoch(train) [25][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:03:06 time: 0.2626 data_time: 0.0287 memory: 2049 grad_norm: 2.9767 loss: 4.6610 loss_cls: 3.0563 loss_bbox: 1.6047 2024/10/26 19:33:19 - mmengine - INFO - Epoch(train) [25][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:02:44 time: 0.2345 data_time: 0.0220 memory: 2049 grad_norm: 2.9855 loss: 4.6944 loss_cls: 3.0550 loss_bbox: 1.6393 2024/10/26 19:33:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:33:30 - mmengine - INFO - Epoch(train) [25][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:02:11 time: 0.2190 data_time: 0.0219 memory: 2049 grad_norm: 3.0402 loss: 4.6934 loss_cls: 3.0423 loss_bbox: 1.6511 2024/10/26 19:33:43 - mmengine - INFO - Epoch(train) [25][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:02:01 time: 0.2506 data_time: 0.0215 memory: 2049 grad_norm: 2.9617 loss: 4.7744 loss_cls: 3.0986 loss_bbox: 1.6758 2024/10/26 19:33:54 - mmengine - INFO - Epoch(train) [25][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:01:31 time: 0.2234 data_time: 0.0228 memory: 2049 grad_norm: 3.1660 loss: 4.6467 loss_cls: 2.9872 loss_bbox: 1.6595 2024/10/26 19:34:06 - mmengine - INFO - Epoch(train) [25][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:01:19 time: 0.2471 data_time: 0.0280 memory: 2049 grad_norm: 3.0295 loss: 4.6700 loss_cls: 3.0261 loss_bbox: 1.6438 2024/10/26 19:34:18 - mmengine - INFO - Epoch(train) [25][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:00:59 time: 0.2365 data_time: 0.0243 memory: 2049 grad_norm: 3.1593 loss: 4.6690 loss_cls: 3.0565 loss_bbox: 1.6125 2024/10/26 19:34:29 - mmengine - INFO - Epoch(train) [25][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:00:30 time: 0.2249 data_time: 0.0231 memory: 2049 grad_norm: 2.9655 loss: 4.7325 loss_cls: 3.0594 loss_bbox: 1.6731 2024/10/26 19:34:42 - mmengine - INFO - Epoch(train) [25][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 20:00:24 time: 0.2537 data_time: 0.0263 memory: 2049 grad_norm: 3.0322 loss: 4.6952 loss_cls: 3.0334 loss_bbox: 1.6618 2024/10/26 19:34:54 - mmengine - INFO - Epoch(train) [25][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:59:59 time: 0.2304 data_time: 0.0218 memory: 2049 grad_norm: 3.2365 loss: 4.7693 loss_cls: 3.1003 loss_bbox: 1.6690 2024/10/26 19:35:06 - mmengine - INFO - Epoch(train) [25][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:59:49 time: 0.2497 data_time: 0.0276 memory: 2049 grad_norm: 2.9642 loss: 4.6014 loss_cls: 3.0065 loss_bbox: 1.5950 2024/10/26 19:35:18 - mmengine - INFO - Epoch(train) [25][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:59:31 time: 0.2387 data_time: 0.0238 memory: 2049 grad_norm: 3.0542 loss: 4.5591 loss_cls: 2.9846 loss_bbox: 1.5745 2024/10/26 19:35:30 - mmengine - INFO - Epoch(train) [25][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:59:12 time: 0.2370 data_time: 0.0300 memory: 2049 grad_norm: 3.0406 loss: 4.7278 loss_cls: 3.0702 loss_bbox: 1.6577 2024/10/26 19:35:42 - mmengine - INFO - Epoch(train) [25][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:58 time: 0.2442 data_time: 0.0226 memory: 2049 grad_norm: 2.9949 loss: 4.6226 loss_cls: 3.0339 loss_bbox: 1.5886 2024/10/26 19:35:54 - mmengine - INFO - Epoch(train) [25][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:31 time: 0.2273 data_time: 0.0274 memory: 2049 grad_norm: 3.1235 loss: 4.7262 loss_cls: 3.0388 loss_bbox: 1.6874 2024/10/26 19:36:06 - mmengine - INFO - Epoch(train) [25][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:25 time: 0.2554 data_time: 0.0224 memory: 2049 grad_norm: 3.0042 loss: 4.7797 loss_cls: 3.1035 loss_bbox: 1.6762 2024/10/26 19:36:19 - mmengine - INFO - Epoch(train) [25][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:15 time: 0.2493 data_time: 0.0260 memory: 2049 grad_norm: 2.8726 loss: 4.7604 loss_cls: 3.0609 loss_bbox: 1.6995 2024/10/26 19:36:31 - mmengine - INFO - Epoch(train) [25][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:01 time: 0.2438 data_time: 0.0217 memory: 2049 grad_norm: 2.9350 loss: 4.7023 loss_cls: 3.0463 loss_bbox: 1.6560 2024/10/26 19:36:44 - mmengine - INFO - Epoch(train) [25][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:58 time: 0.2592 data_time: 0.0256 memory: 2049 grad_norm: 3.0231 loss: 4.5912 loss_cls: 3.0144 loss_bbox: 1.5767 2024/10/26 19:36:56 - mmengine - INFO - Epoch(train) [25][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:45 time: 0.2453 data_time: 0.0196 memory: 2049 grad_norm: 2.7910 loss: 4.6137 loss_cls: 2.9947 loss_bbox: 1.6190 2024/10/26 19:37:09 - mmengine - INFO - Epoch(train) [25][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:42 time: 0.2590 data_time: 0.0221 memory: 2049 grad_norm: 3.1473 loss: 4.6634 loss_cls: 2.9947 loss_bbox: 1.6687 2024/10/26 19:37:22 - mmengine - INFO - Epoch(train) [25][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:41 time: 0.2632 data_time: 0.0209 memory: 2049 grad_norm: 3.1109 loss: 4.6906 loss_cls: 3.0372 loss_bbox: 1.6534 2024/10/26 19:37:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:37:36 - mmengine - INFO - Epoch(train) [25][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:42 time: 0.2641 data_time: 0.0343 memory: 2049 grad_norm: 2.8770 loss: 4.7249 loss_cls: 3.0531 loss_bbox: 1.6719 2024/10/26 19:37:49 - mmengine - INFO - Epoch(train) [25][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:43 time: 0.2651 data_time: 0.0266 memory: 2049 grad_norm: 3.1167 loss: 4.7468 loss_cls: 3.0756 loss_bbox: 1.6712 2024/10/26 19:38:01 - mmengine - INFO - Epoch(train) [25][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:34 time: 0.2519 data_time: 0.0308 memory: 2049 grad_norm: 2.9941 loss: 4.6452 loss_cls: 2.9987 loss_bbox: 1.6465 2024/10/26 19:38:19 - mmengine - INFO - Epoch(train) [25][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:35 time: 0.3483 data_time: 0.0974 memory: 2049 grad_norm: 3.0121 loss: 4.7928 loss_cls: 3.0932 loss_bbox: 1.6996 2024/10/26 19:38:32 - mmengine - INFO - Epoch(train) [25][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:30 time: 0.2561 data_time: 0.0260 memory: 2049 grad_norm: 3.1878 loss: 4.6731 loss_cls: 3.0635 loss_bbox: 1.6096 2024/10/26 19:38:45 - mmengine - INFO - Epoch(train) [25][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:25 time: 0.2573 data_time: 0.0230 memory: 2049 grad_norm: 3.0412 loss: 4.6250 loss_cls: 3.0105 loss_bbox: 1.6144 2024/10/26 19:38:57 - mmengine - INFO - Epoch(train) [25][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:19 time: 0.2559 data_time: 0.0192 memory: 2049 grad_norm: 3.0813 loss: 4.7688 loss_cls: 3.1144 loss_bbox: 1.6545 2024/10/26 19:39:10 - mmengine - INFO - Epoch(train) [25][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:06 time: 0.2462 data_time: 0.0216 memory: 2049 grad_norm: 3.0284 loss: 4.6582 loss_cls: 3.0416 loss_bbox: 1.6166 2024/10/26 19:39:23 - mmengine - INFO - Epoch(train) [25][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:13 time: 0.2749 data_time: 0.0250 memory: 2049 grad_norm: 3.0050 loss: 4.7405 loss_cls: 3.0536 loss_bbox: 1.6869 2024/10/26 19:39:36 - mmengine - INFO - Epoch(train) [25][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:04 time: 0.2519 data_time: 0.0200 memory: 2049 grad_norm: 3.0411 loss: 4.6804 loss_cls: 3.0057 loss_bbox: 1.6748 2024/10/26 19:39:49 - mmengine - INFO - Epoch(train) [25][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:01 time: 0.2597 data_time: 0.0271 memory: 2049 grad_norm: 3.1534 loss: 4.7034 loss_cls: 3.0557 loss_bbox: 1.6477 2024/10/26 19:40:02 - mmengine - INFO - Epoch(train) [25][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:58 time: 0.2598 data_time: 0.0206 memory: 2049 grad_norm: 3.1521 loss: 4.7335 loss_cls: 3.0535 loss_bbox: 1.6799 2024/10/26 19:40:17 - mmengine - INFO - Epoch(train) [25][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:20 time: 0.2970 data_time: 0.0745 memory: 2049 grad_norm: 3.0413 loss: 4.5789 loss_cls: 2.9941 loss_bbox: 1.5848 2024/10/26 19:40:30 - mmengine - INFO - Epoch(train) [25][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:20 time: 0.2639 data_time: 0.0209 memory: 2049 grad_norm: 3.1661 loss: 4.7038 loss_cls: 3.0463 loss_bbox: 1.6576 2024/10/26 19:40:42 - mmengine - INFO - Epoch(train) [25][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:58:05 time: 0.2443 data_time: 0.0243 memory: 2049 grad_norm: 3.0114 loss: 4.7019 loss_cls: 3.0315 loss_bbox: 1.6704 2024/10/26 19:40:55 - mmengine - INFO - Epoch(train) [25][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:55 time: 0.2508 data_time: 0.0206 memory: 2049 grad_norm: 3.0606 loss: 4.6184 loss_cls: 3.0359 loss_bbox: 1.5824 2024/10/26 19:41:07 - mmengine - INFO - Epoch(train) [25][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:43 time: 0.2471 data_time: 0.0217 memory: 2049 grad_norm: 3.0039 loss: 4.6243 loss_cls: 3.0271 loss_bbox: 1.5972 2024/10/26 19:41:19 - mmengine - INFO - Epoch(train) [25][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:27 time: 0.2421 data_time: 0.0216 memory: 2049 grad_norm: 3.0468 loss: 4.6637 loss_cls: 3.0646 loss_bbox: 1.5991 2024/10/26 19:41:32 - mmengine - INFO - Epoch(train) [25][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:23 time: 0.2600 data_time: 0.0219 memory: 2049 grad_norm: 2.8376 loss: 4.6792 loss_cls: 3.0220 loss_bbox: 1.6572 2024/10/26 19:41:45 - mmengine - INFO - Epoch(train) [25][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:11 time: 0.2466 data_time: 0.0220 memory: 2049 grad_norm: 3.0946 loss: 4.6864 loss_cls: 3.0473 loss_bbox: 1.6390 2024/10/26 19:41:46 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:41:57 - mmengine - INFO - Epoch(train) [25][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:57:03 time: 0.2538 data_time: 0.0249 memory: 2049 grad_norm: 3.1148 loss: 4.7399 loss_cls: 3.0655 loss_bbox: 1.6745 2024/10/26 19:42:10 - mmengine - INFO - Epoch(train) [25][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:56:48 time: 0.2447 data_time: 0.0227 memory: 2049 grad_norm: 3.0588 loss: 4.5723 loss_cls: 2.9396 loss_bbox: 1.6327 2024/10/26 19:42:22 - mmengine - INFO - Epoch(train) [25][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:56:31 time: 0.2397 data_time: 0.0229 memory: 2049 grad_norm: 3.0511 loss: 4.7327 loss_cls: 3.0364 loss_bbox: 1.6963 2024/10/26 19:42:34 - mmengine - INFO - Epoch(train) [25][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:56:25 time: 0.2572 data_time: 0.0213 memory: 2049 grad_norm: 2.9256 loss: 4.6847 loss_cls: 3.0395 loss_bbox: 1.6452 2024/10/26 19:42:46 - mmengine - INFO - Epoch(train) [25][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:56:07 time: 0.2385 data_time: 0.0218 memory: 2049 grad_norm: 3.1136 loss: 4.6570 loss_cls: 3.0414 loss_bbox: 1.6156 2024/10/26 19:42:59 - mmengine - INFO - Epoch(train) [25][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:55:56 time: 0.2495 data_time: 0.0271 memory: 2049 grad_norm: 3.2452 loss: 4.7941 loss_cls: 3.0959 loss_bbox: 1.6983 2024/10/26 19:43:11 - mmengine - INFO - Epoch(train) [25][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:55:35 time: 0.2349 data_time: 0.0224 memory: 2049 grad_norm: 3.1528 loss: 4.7537 loss_cls: 3.0808 loss_bbox: 1.6729 2024/10/26 19:43:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:43:11 - mmengine - INFO - Saving checkpoint at 25 epochs 2024/10/26 19:43:15 - mmengine - INFO - Epoch(val) [25][50/79] eta: 0:00:01 time: 0.0407 data_time: 0.0047 memory: 2049 2024/10/26 19:43:27 - mmengine - INFO - Evaluating bbox... 2024/10/26 19:44:22 - mmengine - INFO - bbox_mAP_copypaste: 0.162 0.288 0.161 0.012 0.140 0.324 2024/10/26 19:44:23 - mmengine - INFO - Epoch(val) [25][79/79] coco/bbox_mAP: 0.1620 coco/bbox_mAP_50: 0.2880 coco/bbox_mAP_75: 0.1610 coco/bbox_mAP_s: 0.0120 coco/bbox_mAP_m: 0.1400 coco/bbox_mAP_l: 0.3240 data_time: 0.0043 time: 0.0625 2024/10/26 19:44:35 - mmengine - INFO - Epoch(train) [26][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:55:16 time: 0.2395 data_time: 0.0339 memory: 2049 grad_norm: 2.9404 loss: 4.7600 loss_cls: 3.1120 loss_bbox: 1.6481 2024/10/26 19:44:47 - mmengine - INFO - Epoch(train) [26][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:54:54 time: 0.2323 data_time: 0.0219 memory: 2049 grad_norm: 3.0440 loss: 4.6595 loss_cls: 2.9936 loss_bbox: 1.6659 2024/10/26 19:44:58 - mmengine - INFO - Epoch(train) [26][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:54:34 time: 0.2357 data_time: 0.0235 memory: 2049 grad_norm: 3.0261 loss: 4.6357 loss_cls: 3.0417 loss_bbox: 1.5939 2024/10/26 19:45:10 - mmengine - INFO - Epoch(train) [26][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:54:16 time: 0.2396 data_time: 0.0229 memory: 2049 grad_norm: 3.2446 loss: 4.6551 loss_cls: 3.0197 loss_bbox: 1.6354 2024/10/26 19:45:23 - mmengine - INFO - Epoch(train) [26][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:54:01 time: 0.2423 data_time: 0.0231 memory: 2049 grad_norm: 2.9777 loss: 4.7332 loss_cls: 3.0719 loss_bbox: 1.6614 2024/10/26 19:45:34 - mmengine - INFO - Epoch(train) [26][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:53:35 time: 0.2270 data_time: 0.0225 memory: 2049 grad_norm: 3.0111 loss: 4.7157 loss_cls: 3.0963 loss_bbox: 1.6194 2024/10/26 19:45:46 - mmengine - INFO - Epoch(train) [26][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:53:17 time: 0.2393 data_time: 0.0305 memory: 2049 grad_norm: 3.0875 loss: 4.6535 loss_cls: 3.0514 loss_bbox: 1.6022 2024/10/26 19:45:57 - mmengine - INFO - Epoch(train) [26][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:52:53 time: 0.2288 data_time: 0.0216 memory: 2049 grad_norm: 3.1013 loss: 4.6866 loss_cls: 3.0297 loss_bbox: 1.6570 2024/10/26 19:46:09 - mmengine - INFO - Epoch(train) [26][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:52:34 time: 0.2372 data_time: 0.0216 memory: 2049 grad_norm: 3.2163 loss: 4.6369 loss_cls: 3.0015 loss_bbox: 1.6354 2024/10/26 19:46:21 - mmengine - INFO - Epoch(train) [26][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:52:17 time: 0.2401 data_time: 0.0225 memory: 2049 grad_norm: 3.0263 loss: 4.6793 loss_cls: 3.0615 loss_bbox: 1.6179 2024/10/26 19:46:32 - mmengine - INFO - Epoch(train) [26][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:51:50 time: 0.2250 data_time: 0.0214 memory: 2049 grad_norm: 3.0090 loss: 4.7305 loss_cls: 3.0820 loss_bbox: 1.6484 2024/10/26 19:46:45 - mmengine - INFO - Epoch(train) [26][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:51:35 time: 0.2424 data_time: 0.0215 memory: 2049 grad_norm: 2.8742 loss: 4.6696 loss_cls: 3.0211 loss_bbox: 1.6484 2024/10/26 19:46:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:46:56 - mmengine - INFO - Epoch(train) [26][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:51:04 time: 0.2190 data_time: 0.0229 memory: 2049 grad_norm: 3.2275 loss: 4.8219 loss_cls: 3.1040 loss_bbox: 1.7179 2024/10/26 19:47:07 - mmengine - INFO - Epoch(train) [26][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:50:46 time: 0.2380 data_time: 0.0223 memory: 2049 grad_norm: 3.0016 loss: 4.6745 loss_cls: 3.0287 loss_bbox: 1.6458 2024/10/26 19:47:19 - mmengine - INFO - Epoch(train) [26][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:50:28 time: 0.2384 data_time: 0.0220 memory: 2049 grad_norm: 3.1079 loss: 4.7929 loss_cls: 3.0749 loss_bbox: 1.7181 2024/10/26 19:47:31 - mmengine - INFO - Epoch(train) [26][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:50:09 time: 0.2373 data_time: 0.0313 memory: 2049 grad_norm: 3.0997 loss: 4.6237 loss_cls: 2.9932 loss_bbox: 1.6305 2024/10/26 19:47:43 - mmengine - INFO - Epoch(train) [26][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:49:50 time: 0.2366 data_time: 0.0209 memory: 2049 grad_norm: 3.2687 loss: 4.6024 loss_cls: 2.9697 loss_bbox: 1.6328 2024/10/26 19:47:54 - mmengine - INFO - Epoch(train) [26][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:49:20 time: 0.2198 data_time: 0.0210 memory: 2049 grad_norm: 3.0422 loss: 4.8770 loss_cls: 3.1377 loss_bbox: 1.7393 2024/10/26 19:48:06 - mmengine - INFO - Epoch(train) [26][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:49:07 time: 0.2447 data_time: 0.0230 memory: 2049 grad_norm: 2.9800 loss: 4.6411 loss_cls: 3.0494 loss_bbox: 1.5918 2024/10/26 19:48:18 - mmengine - INFO - Epoch(train) [26][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:48:44 time: 0.2312 data_time: 0.0215 memory: 2049 grad_norm: 2.8067 loss: 4.8365 loss_cls: 3.1226 loss_bbox: 1.7139 2024/10/26 19:48:30 - mmengine - INFO - Epoch(train) [26][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:48:29 time: 0.2418 data_time: 0.0205 memory: 2049 grad_norm: 3.0052 loss: 4.6319 loss_cls: 3.0219 loss_bbox: 1.6100 2024/10/26 19:48:42 - mmengine - INFO - Epoch(train) [26][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:48:14 time: 0.2431 data_time: 0.0214 memory: 2049 grad_norm: 3.0149 loss: 4.6727 loss_cls: 3.0197 loss_bbox: 1.6530 2024/10/26 19:48:53 - mmengine - INFO - Epoch(train) [26][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:47:47 time: 0.2233 data_time: 0.0215 memory: 2049 grad_norm: 3.2073 loss: 4.5710 loss_cls: 3.0205 loss_bbox: 1.5505 2024/10/26 19:49:06 - mmengine - INFO - Epoch(train) [26][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:47:37 time: 0.2501 data_time: 0.0234 memory: 2049 grad_norm: 3.0091 loss: 4.7275 loss_cls: 3.1107 loss_bbox: 1.6168 2024/10/26 19:49:17 - mmengine - INFO - Epoch(train) [26][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:47:14 time: 0.2297 data_time: 0.0219 memory: 2049 grad_norm: 3.0977 loss: 4.5832 loss_cls: 2.9918 loss_bbox: 1.5914 2024/10/26 19:49:30 - mmengine - INFO - Epoch(train) [26][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:47:05 time: 0.2516 data_time: 0.0295 memory: 2049 grad_norm: 3.2441 loss: 4.7056 loss_cls: 3.0393 loss_bbox: 1.6663 2024/10/26 19:49:41 - mmengine - INFO - Epoch(train) [26][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:46:44 time: 0.2328 data_time: 0.0212 memory: 2049 grad_norm: 2.9252 loss: 4.6931 loss_cls: 3.0525 loss_bbox: 1.6406 2024/10/26 19:49:53 - mmengine - INFO - Epoch(train) [26][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:46:21 time: 0.2311 data_time: 0.0231 memory: 2049 grad_norm: 2.8949 loss: 4.6734 loss_cls: 3.0628 loss_bbox: 1.6106 2024/10/26 19:50:05 - mmengine - INFO - Epoch(train) [26][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:46:09 time: 0.2460 data_time: 0.0221 memory: 2049 grad_norm: 3.0321 loss: 4.6455 loss_cls: 2.9983 loss_bbox: 1.6472 2024/10/26 19:50:17 - mmengine - INFO - Epoch(train) [26][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:45:52 time: 0.2395 data_time: 0.0235 memory: 2049 grad_norm: 2.9067 loss: 4.6408 loss_cls: 3.0226 loss_bbox: 1.6182 2024/10/26 19:50:30 - mmengine - INFO - Epoch(train) [26][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:45:42 time: 0.2499 data_time: 0.0275 memory: 2049 grad_norm: 3.1143 loss: 4.6430 loss_cls: 3.0147 loss_bbox: 1.6283 2024/10/26 19:50:42 - mmengine - INFO - Epoch(train) [26][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:45:27 time: 0.2425 data_time: 0.0234 memory: 2049 grad_norm: 3.3850 loss: 4.5985 loss_cls: 3.0075 loss_bbox: 1.5911 2024/10/26 19:50:53 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:50:53 - mmengine - INFO - Epoch(train) [26][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:45:03 time: 0.2271 data_time: 0.0219 memory: 2049 grad_norm: 3.0896 loss: 4.7098 loss_cls: 2.9988 loss_bbox: 1.7110 2024/10/26 19:51:06 - mmengine - INFO - Epoch(train) [26][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:44:53 time: 0.2506 data_time: 0.0273 memory: 2049 grad_norm: 2.9678 loss: 4.6604 loss_cls: 3.0277 loss_bbox: 1.6327 2024/10/26 19:51:18 - mmengine - INFO - Epoch(train) [26][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:44:37 time: 0.2402 data_time: 0.0224 memory: 2049 grad_norm: 3.1486 loss: 4.7531 loss_cls: 3.0335 loss_bbox: 1.7196 2024/10/26 19:51:30 - mmengine - INFO - Epoch(train) [26][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:44:28 time: 0.2522 data_time: 0.0218 memory: 2049 grad_norm: 3.1558 loss: 4.7544 loss_cls: 3.0475 loss_bbox: 1.7069 2024/10/26 19:51:43 - mmengine - INFO - Epoch(train) [26][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:44:12 time: 0.2408 data_time: 0.0247 memory: 2049 grad_norm: 3.0117 loss: 4.7246 loss_cls: 3.0542 loss_bbox: 1.6704 2024/10/26 19:51:54 - mmengine - INFO - Epoch(train) [26][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:43:52 time: 0.2343 data_time: 0.0231 memory: 2049 grad_norm: 3.1603 loss: 4.6672 loss_cls: 3.0475 loss_bbox: 1.6198 2024/10/26 19:52:07 - mmengine - INFO - Epoch(train) [26][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:43:45 time: 0.2542 data_time: 0.0297 memory: 2049 grad_norm: 3.0929 loss: 4.6708 loss_cls: 3.0377 loss_bbox: 1.6331 2024/10/26 19:52:19 - mmengine - INFO - Epoch(train) [26][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:43:25 time: 0.2353 data_time: 0.0224 memory: 2049 grad_norm: 3.0112 loss: 4.5948 loss_cls: 2.9812 loss_bbox: 1.6136 2024/10/26 19:52:31 - mmengine - INFO - Epoch(train) [26][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:43:13 time: 0.2466 data_time: 0.0217 memory: 2049 grad_norm: 3.0486 loss: 4.6968 loss_cls: 3.0355 loss_bbox: 1.6613 2024/10/26 19:52:44 - mmengine - INFO - Epoch(train) [26][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:43:06 time: 0.2557 data_time: 0.0293 memory: 2049 grad_norm: 3.0092 loss: 4.6600 loss_cls: 3.0062 loss_bbox: 1.6538 2024/10/26 19:52:56 - mmengine - INFO - Epoch(train) [26][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:42:50 time: 0.2394 data_time: 0.0240 memory: 2049 grad_norm: 3.1586 loss: 4.6362 loss_cls: 2.9992 loss_bbox: 1.6370 2024/10/26 19:53:08 - mmengine - INFO - Epoch(train) [26][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:42:37 time: 0.2461 data_time: 0.0259 memory: 2049 grad_norm: 3.1891 loss: 4.5930 loss_cls: 2.9970 loss_bbox: 1.5961 2024/10/26 19:53:20 - mmengine - INFO - Epoch(train) [26][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:42:22 time: 0.2410 data_time: 0.0219 memory: 2049 grad_norm: 2.9590 loss: 4.7157 loss_cls: 3.0767 loss_bbox: 1.6391 2024/10/26 19:53:33 - mmengine - INFO - Epoch(train) [26][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:42:13 time: 0.2524 data_time: 0.0266 memory: 2049 grad_norm: 3.3098 loss: 4.6170 loss_cls: 3.0070 loss_bbox: 1.6100 2024/10/26 19:53:45 - mmengine - INFO - Epoch(train) [26][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:41:57 time: 0.2409 data_time: 0.0212 memory: 2049 grad_norm: 3.1160 loss: 4.7718 loss_cls: 3.0572 loss_bbox: 1.7146 2024/10/26 19:53:57 - mmengine - INFO - Epoch(train) [26][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:41:40 time: 0.2386 data_time: 0.0207 memory: 2049 grad_norm: 3.0905 loss: 4.6913 loss_cls: 3.0593 loss_bbox: 1.6320 2024/10/26 19:54:09 - mmengine - INFO - Epoch(train) [26][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:41:30 time: 0.2497 data_time: 0.0219 memory: 2049 grad_norm: 3.1042 loss: 4.6804 loss_cls: 3.0702 loss_bbox: 1.6102 2024/10/26 19:54:22 - mmengine - INFO - Epoch(train) [26][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:41:21 time: 0.2523 data_time: 0.0205 memory: 2049 grad_norm: 3.1118 loss: 4.6335 loss_cls: 3.0104 loss_bbox: 1.6231 2024/10/26 19:54:34 - mmengine - INFO - Epoch(train) [26][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:41:07 time: 0.2439 data_time: 0.0207 memory: 2049 grad_norm: 3.1200 loss: 4.6512 loss_cls: 3.0286 loss_bbox: 1.6226 2024/10/26 19:54:46 - mmengine - INFO - Epoch(train) [26][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:40:54 time: 0.2441 data_time: 0.0275 memory: 2049 grad_norm: 3.0994 loss: 4.6553 loss_cls: 3.0758 loss_bbox: 1.5795 2024/10/26 19:54:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:54:59 - mmengine - INFO - Epoch(train) [26][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:40:40 time: 0.2445 data_time: 0.0217 memory: 2049 grad_norm: 3.0892 loss: 4.5942 loss_cls: 2.9894 loss_bbox: 1.6048 2024/10/26 19:55:11 - mmengine - INFO - Epoch(train) [26][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:40:29 time: 0.2481 data_time: 0.0205 memory: 2049 grad_norm: 3.3575 loss: 4.6542 loss_cls: 3.0275 loss_bbox: 1.6268 2024/10/26 19:55:23 - mmengine - INFO - Epoch(train) [26][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:40:14 time: 0.2428 data_time: 0.0237 memory: 2049 grad_norm: 2.9799 loss: 4.6603 loss_cls: 2.9968 loss_bbox: 1.6635 2024/10/26 19:55:35 - mmengine - INFO - Epoch(train) [26][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:40:01 time: 0.2444 data_time: 0.0213 memory: 2049 grad_norm: 3.0658 loss: 4.7289 loss_cls: 3.0789 loss_bbox: 1.6500 2024/10/26 19:55:48 - mmengine - INFO - Epoch(train) [26][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:39:48 time: 0.2458 data_time: 0.0208 memory: 2049 grad_norm: 3.0821 loss: 4.7323 loss_cls: 3.1197 loss_bbox: 1.6127 2024/10/26 19:56:00 - mmengine - INFO - Epoch(train) [26][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:39:37 time: 0.2493 data_time: 0.0250 memory: 2049 grad_norm: 3.1088 loss: 4.7586 loss_cls: 3.1034 loss_bbox: 1.6552 2024/10/26 19:56:12 - mmengine - INFO - Epoch(train) [26][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:39:23 time: 0.2434 data_time: 0.0201 memory: 2049 grad_norm: 2.8765 loss: 4.6362 loss_cls: 3.0294 loss_bbox: 1.6069 2024/10/26 19:56:25 - mmengine - INFO - Epoch(train) [26][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:39:12 time: 0.2488 data_time: 0.0201 memory: 2049 grad_norm: 2.9851 loss: 4.5619 loss_cls: 2.9796 loss_bbox: 1.5822 2024/10/26 19:56:37 - mmengine - INFO - Epoch(train) [26][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:39:02 time: 0.2493 data_time: 0.0199 memory: 2049 grad_norm: 2.9909 loss: 4.5935 loss_cls: 2.9805 loss_bbox: 1.6130 2024/10/26 19:56:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:56:38 - mmengine - INFO - Saving checkpoint at 26 epochs 2024/10/26 19:56:53 - mmengine - INFO - Epoch(train) [27][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:38:49 time: 0.2510 data_time: 0.0345 memory: 2049 grad_norm: 3.4246 loss: 4.6610 loss_cls: 3.0628 loss_bbox: 1.5982 2024/10/26 19:57:05 - mmengine - INFO - Epoch(train) [27][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:38:32 time: 0.2380 data_time: 0.0234 memory: 2049 grad_norm: 3.0637 loss: 4.6650 loss_cls: 3.0248 loss_bbox: 1.6403 2024/10/26 19:57:17 - mmengine - INFO - Epoch(train) [27][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:38:20 time: 0.2465 data_time: 0.0381 memory: 2049 grad_norm: 2.9632 loss: 4.7359 loss_cls: 3.0845 loss_bbox: 1.6514 2024/10/26 19:57:29 - mmengine - INFO - Epoch(train) [27][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:38:07 time: 0.2466 data_time: 0.0210 memory: 2049 grad_norm: 3.0768 loss: 4.7124 loss_cls: 3.0776 loss_bbox: 1.6348 2024/10/26 19:57:41 - mmengine - INFO - Epoch(train) [27][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:37:47 time: 0.2331 data_time: 0.0213 memory: 2049 grad_norm: 3.0026 loss: 4.6609 loss_cls: 3.0496 loss_bbox: 1.6114 2024/10/26 19:57:53 - mmengine - INFO - Epoch(train) [27][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:37:31 time: 0.2403 data_time: 0.0221 memory: 2049 grad_norm: 2.8291 loss: 4.6828 loss_cls: 3.0227 loss_bbox: 1.6600 2024/10/26 19:58:05 - mmengine - INFO - Epoch(train) [27][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:37:18 time: 0.2446 data_time: 0.0225 memory: 2049 grad_norm: 3.3405 loss: 4.7157 loss_cls: 3.0837 loss_bbox: 1.6321 2024/10/26 19:58:18 - mmengine - INFO - Epoch(train) [27][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:37:09 time: 0.2522 data_time: 0.0422 memory: 2049 grad_norm: 2.9733 loss: 4.6739 loss_cls: 3.0512 loss_bbox: 1.6228 2024/10/26 19:58:30 - mmengine - INFO - Epoch(train) [27][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:36:52 time: 0.2384 data_time: 0.0214 memory: 2049 grad_norm: 3.0792 loss: 4.6431 loss_cls: 2.9814 loss_bbox: 1.6617 2024/10/26 19:58:42 - mmengine - INFO - Epoch(train) [27][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:36:33 time: 0.2345 data_time: 0.0215 memory: 2049 grad_norm: 2.9859 loss: 4.7156 loss_cls: 3.0394 loss_bbox: 1.6763 2024/10/26 19:58:54 - mmengine - INFO - Epoch(train) [27][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:36:18 time: 0.2411 data_time: 0.0258 memory: 2049 grad_norm: 3.1613 loss: 4.7568 loss_cls: 3.0650 loss_bbox: 1.6918 2024/10/26 19:59:05 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 19:59:06 - mmengine - INFO - Epoch(train) [27][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:36:11 time: 0.2562 data_time: 0.0217 memory: 2049 grad_norm: 2.9127 loss: 4.6406 loss_cls: 3.0108 loss_bbox: 1.6298 2024/10/26 19:59:19 - mmengine - INFO - Epoch(train) [27][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:35:58 time: 0.2448 data_time: 0.0217 memory: 2049 grad_norm: 3.1798 loss: 4.6817 loss_cls: 3.0411 loss_bbox: 1.6406 2024/10/26 19:59:30 - mmengine - INFO - Epoch(train) [27][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:35:40 time: 0.2358 data_time: 0.0242 memory: 2049 grad_norm: 2.9701 loss: 4.6974 loss_cls: 3.0297 loss_bbox: 1.6677 2024/10/26 19:59:43 - mmengine - INFO - Epoch(train) [27][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:35:30 time: 0.2503 data_time: 0.0218 memory: 2049 grad_norm: 3.1197 loss: 4.5689 loss_cls: 2.9652 loss_bbox: 1.6036 2024/10/26 19:59:55 - mmengine - INFO - Epoch(train) [27][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:35:13 time: 0.2386 data_time: 0.0228 memory: 2049 grad_norm: 3.0846 loss: 4.6451 loss_cls: 2.9883 loss_bbox: 1.6568 2024/10/26 20:00:07 - mmengine - INFO - Epoch(train) [27][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:35:01 time: 0.2475 data_time: 0.0211 memory: 2049 grad_norm: 3.1623 loss: 4.6553 loss_cls: 3.0396 loss_bbox: 1.6156 2024/10/26 20:00:20 - mmengine - INFO - Epoch(train) [27][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:34:49 time: 0.2461 data_time: 0.0212 memory: 2049 grad_norm: 3.0704 loss: 4.6419 loss_cls: 3.0143 loss_bbox: 1.6276 2024/10/26 20:00:31 - mmengine - INFO - Epoch(train) [27][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:34:30 time: 0.2349 data_time: 0.0272 memory: 2049 grad_norm: 3.1445 loss: 4.6181 loss_cls: 3.0219 loss_bbox: 1.5961 2024/10/26 20:00:44 - mmengine - INFO - Epoch(train) [27][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:34:26 time: 0.2614 data_time: 0.0315 memory: 2049 grad_norm: 3.0575 loss: 4.6351 loss_cls: 3.0695 loss_bbox: 1.5656 2024/10/26 20:00:56 - mmengine - INFO - Epoch(train) [27][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:34:06 time: 0.2316 data_time: 0.0228 memory: 2049 grad_norm: 3.1160 loss: 4.6911 loss_cls: 3.0319 loss_bbox: 1.6593 2024/10/26 20:01:08 - mmengine - INFO - Epoch(train) [27][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:33:50 time: 0.2412 data_time: 0.0235 memory: 2049 grad_norm: 2.9981 loss: 4.6100 loss_cls: 3.0048 loss_bbox: 1.6052 2024/10/26 20:01:20 - mmengine - INFO - Epoch(train) [27][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:33:38 time: 0.2456 data_time: 0.0224 memory: 2049 grad_norm: 2.9727 loss: 4.7406 loss_cls: 3.0777 loss_bbox: 1.6630 2024/10/26 20:01:32 - mmengine - INFO - Epoch(train) [27][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:33:18 time: 0.2321 data_time: 0.0217 memory: 2049 grad_norm: 3.1401 loss: 4.6086 loss_cls: 3.0163 loss_bbox: 1.5923 2024/10/26 20:01:44 - mmengine - INFO - Epoch(train) [27][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:33:04 time: 0.2434 data_time: 0.0218 memory: 2049 grad_norm: 3.1635 loss: 4.7898 loss_cls: 3.0860 loss_bbox: 1.7038 2024/10/26 20:01:56 - mmengine - INFO - Epoch(train) [27][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:32:49 time: 0.2414 data_time: 0.0222 memory: 2049 grad_norm: 3.0327 loss: 4.6476 loss_cls: 3.0403 loss_bbox: 1.6073 2024/10/26 20:02:08 - mmengine - INFO - Epoch(train) [27][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:32:32 time: 0.2379 data_time: 0.0217 memory: 2049 grad_norm: 2.9562 loss: 4.6300 loss_cls: 3.0344 loss_bbox: 1.5956 2024/10/26 20:02:21 - mmengine - INFO - Epoch(train) [27][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:32:21 time: 0.2496 data_time: 0.0334 memory: 2049 grad_norm: 3.1591 loss: 4.7153 loss_cls: 3.0479 loss_bbox: 1.6674 2024/10/26 20:02:32 - mmengine - INFO - Epoch(train) [27][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:32:04 time: 0.2366 data_time: 0.0297 memory: 2049 grad_norm: 3.0945 loss: 4.6069 loss_cls: 3.0100 loss_bbox: 1.5969 2024/10/26 20:02:45 - mmengine - INFO - Epoch(train) [27][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:31:52 time: 0.2474 data_time: 0.0230 memory: 2049 grad_norm: 3.2027 loss: 4.6888 loss_cls: 3.0299 loss_bbox: 1.6589 2024/10/26 20:02:57 - mmengine - INFO - Epoch(train) [27][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:31:42 time: 0.2507 data_time: 0.0284 memory: 2049 grad_norm: 3.0321 loss: 4.7061 loss_cls: 3.0775 loss_bbox: 1.6285 2024/10/26 20:03:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:03:09 - mmengine - INFO - Epoch(train) [27][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:31:24 time: 0.2354 data_time: 0.0221 memory: 2049 grad_norm: 2.9694 loss: 4.5757 loss_cls: 2.9604 loss_bbox: 1.6153 2024/10/26 20:03:22 - mmengine - INFO - Epoch(train) [27][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:31:14 time: 0.2505 data_time: 0.0220 memory: 2049 grad_norm: 2.9816 loss: 4.7446 loss_cls: 3.0851 loss_bbox: 1.6594 2024/10/26 20:03:34 - mmengine - INFO - Epoch(train) [27][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:58 time: 0.2391 data_time: 0.0240 memory: 2049 grad_norm: 3.0345 loss: 4.5171 loss_cls: 2.9668 loss_bbox: 1.5503 2024/10/26 20:03:46 - mmengine - INFO - Epoch(train) [27][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:51 time: 0.2560 data_time: 0.0220 memory: 2049 grad_norm: 2.9365 loss: 4.5489 loss_cls: 2.9591 loss_bbox: 1.5898 2024/10/26 20:03:58 - mmengine - INFO - Epoch(train) [27][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:35 time: 0.2401 data_time: 0.0235 memory: 2049 grad_norm: 3.1681 loss: 4.7229 loss_cls: 3.0483 loss_bbox: 1.6746 2024/10/26 20:04:11 - mmengine - INFO - Epoch(train) [27][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:24 time: 0.2479 data_time: 0.0234 memory: 2049 grad_norm: 2.9939 loss: 4.7082 loss_cls: 3.0512 loss_bbox: 1.6571 2024/10/26 20:04:24 - mmengine - INFO - Epoch(train) [27][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:23 time: 0.2672 data_time: 0.0282 memory: 2049 grad_norm: 3.1385 loss: 4.6196 loss_cls: 3.0004 loss_bbox: 1.6192 2024/10/26 20:04:37 - mmengine - INFO - Epoch(train) [27][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:20 time: 0.2639 data_time: 0.0276 memory: 2049 grad_norm: 3.0362 loss: 4.7529 loss_cls: 3.0378 loss_bbox: 1.7151 2024/10/26 20:04:52 - mmengine - INFO - Epoch(train) [27][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:35 time: 0.2976 data_time: 0.0283 memory: 2049 grad_norm: 2.9739 loss: 4.6380 loss_cls: 3.0356 loss_bbox: 1.6024 2024/10/26 20:05:05 - mmengine - INFO - Epoch(train) [27][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:27 time: 0.2535 data_time: 0.0264 memory: 2049 grad_norm: 2.9257 loss: 4.7788 loss_cls: 3.1311 loss_bbox: 1.6477 2024/10/26 20:05:19 - mmengine - INFO - Epoch(train) [27][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:30 time: 0.2756 data_time: 0.0316 memory: 2049 grad_norm: 3.0279 loss: 4.6827 loss_cls: 3.0553 loss_bbox: 1.6274 2024/10/26 20:05:32 - mmengine - INFO - Epoch(train) [27][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:27 time: 0.2632 data_time: 0.0241 memory: 2049 grad_norm: 3.1030 loss: 4.7753 loss_cls: 3.0560 loss_bbox: 1.7194 2024/10/26 20:05:44 - mmengine - INFO - Epoch(train) [27][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:14 time: 0.2457 data_time: 0.0304 memory: 2049 grad_norm: 3.3179 loss: 4.6946 loss_cls: 3.0648 loss_bbox: 1.6298 2024/10/26 20:05:57 - mmengine - INFO - Epoch(train) [27][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:30:08 time: 0.2572 data_time: 0.0226 memory: 2049 grad_norm: 3.1227 loss: 4.6239 loss_cls: 2.9932 loss_bbox: 1.6306 2024/10/26 20:06:09 - mmengine - INFO - Epoch(train) [27][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:29:51 time: 0.2386 data_time: 0.0275 memory: 2049 grad_norm: 3.2838 loss: 4.7100 loss_cls: 3.0841 loss_bbox: 1.6259 2024/10/26 20:06:21 - mmengine - INFO - Epoch(train) [27][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:29:36 time: 0.2417 data_time: 0.0232 memory: 2049 grad_norm: 3.1720 loss: 4.6164 loss_cls: 2.9752 loss_bbox: 1.6412 2024/10/26 20:06:34 - mmengine - INFO - Epoch(train) [27][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:29:28 time: 0.2545 data_time: 0.0212 memory: 2049 grad_norm: 3.2391 loss: 4.5824 loss_cls: 3.0146 loss_bbox: 1.5677 2024/10/26 20:06:46 - mmengine - INFO - Epoch(train) [27][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:29:17 time: 0.2483 data_time: 0.0231 memory: 2049 grad_norm: 3.1936 loss: 4.7224 loss_cls: 3.0729 loss_bbox: 1.6495 2024/10/26 20:06:59 - mmengine - INFO - Epoch(train) [27][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:29:11 time: 0.2593 data_time: 0.0242 memory: 2049 grad_norm: 2.8878 loss: 4.5039 loss_cls: 2.9734 loss_bbox: 1.5304 2024/10/26 20:07:11 - mmengine - INFO - Epoch(train) [27][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:55 time: 0.2399 data_time: 0.0214 memory: 2049 grad_norm: 3.0108 loss: 4.7774 loss_cls: 3.0995 loss_bbox: 1.6779 2024/10/26 20:07:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:07:23 - mmengine - INFO - Epoch(train) [27][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:43 time: 0.2456 data_time: 0.0244 memory: 2049 grad_norm: 3.1455 loss: 4.6983 loss_cls: 3.0602 loss_bbox: 1.6380 2024/10/26 20:07:37 - mmengine - INFO - Epoch(train) [27][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:38 time: 0.2613 data_time: 0.0270 memory: 2049 grad_norm: 3.0304 loss: 4.6738 loss_cls: 3.0334 loss_bbox: 1.6404 2024/10/26 20:07:49 - mmengine - INFO - Epoch(train) [27][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:27 time: 0.2493 data_time: 0.0279 memory: 2049 grad_norm: 3.0925 loss: 4.6075 loss_cls: 3.0561 loss_bbox: 1.5514 2024/10/26 20:08:02 - mmengine - INFO - Epoch(train) [27][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:25 time: 0.2660 data_time: 0.0292 memory: 2049 grad_norm: 3.1334 loss: 4.6247 loss_cls: 3.0171 loss_bbox: 1.6076 2024/10/26 20:08:19 - mmengine - INFO - Epoch(train) [27][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:53 time: 0.3244 data_time: 0.1022 memory: 2049 grad_norm: 2.9542 loss: 4.7424 loss_cls: 3.0516 loss_bbox: 1.6908 2024/10/26 20:08:31 - mmengine - INFO - Epoch(train) [27][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:45 time: 0.2547 data_time: 0.0260 memory: 2049 grad_norm: 3.1200 loss: 4.6336 loss_cls: 3.0230 loss_bbox: 1.6106 2024/10/26 20:08:44 - mmengine - INFO - Epoch(train) [27][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:40 time: 0.2601 data_time: 0.0267 memory: 2049 grad_norm: 2.9829 loss: 4.5905 loss_cls: 3.0043 loss_bbox: 1.5862 2024/10/26 20:08:57 - mmengine - INFO - Epoch(train) [27][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:34 time: 0.2596 data_time: 0.0300 memory: 2049 grad_norm: 3.0776 loss: 4.7326 loss_cls: 3.0275 loss_bbox: 1.7051 2024/10/26 20:09:11 - mmengine - INFO - Epoch(train) [27][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:34 time: 0.2700 data_time: 0.0295 memory: 2049 grad_norm: 3.0714 loss: 4.7745 loss_cls: 3.0941 loss_bbox: 1.6804 2024/10/26 20:09:24 - mmengine - INFO - Epoch(train) [27][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:27 time: 0.2569 data_time: 0.0262 memory: 2049 grad_norm: 3.1142 loss: 4.6087 loss_cls: 3.0276 loss_bbox: 1.5810 2024/10/26 20:09:25 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:09:25 - mmengine - INFO - Saving checkpoint at 27 epochs 2024/10/26 20:09:41 - mmengine - INFO - Epoch(train) [28][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:28:16 time: 0.2502 data_time: 0.0363 memory: 2049 grad_norm: 3.3225 loss: 4.6745 loss_cls: 3.0177 loss_bbox: 1.6568 2024/10/26 20:09:53 - mmengine - INFO - Epoch(train) [28][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:27:59 time: 0.2380 data_time: 0.0288 memory: 2049 grad_norm: 3.1437 loss: 4.5414 loss_cls: 2.9519 loss_bbox: 1.5895 2024/10/26 20:10:05 - mmengine - INFO - Epoch(train) [28][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:27:46 time: 0.2468 data_time: 0.0392 memory: 2049 grad_norm: 2.8118 loss: 4.6480 loss_cls: 3.0614 loss_bbox: 1.5866 2024/10/26 20:10:17 - mmengine - INFO - Epoch(train) [28][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:27:36 time: 0.2504 data_time: 0.0309 memory: 2049 grad_norm: 3.1996 loss: 4.6224 loss_cls: 3.0512 loss_bbox: 1.5712 2024/10/26 20:10:29 - mmengine - INFO - Epoch(train) [28][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:27:20 time: 0.2396 data_time: 0.0257 memory: 2049 grad_norm: 3.2663 loss: 4.6027 loss_cls: 2.9820 loss_bbox: 1.6207 2024/10/26 20:10:41 - mmengine - INFO - Epoch(train) [28][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:27:03 time: 0.2389 data_time: 0.0259 memory: 2049 grad_norm: 3.0970 loss: 4.5590 loss_cls: 2.9853 loss_bbox: 1.5738 2024/10/26 20:10:54 - mmengine - INFO - Epoch(train) [28][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:26:52 time: 0.2479 data_time: 0.0265 memory: 2049 grad_norm: 2.9305 loss: 4.6429 loss_cls: 3.0199 loss_bbox: 1.6230 2024/10/26 20:11:06 - mmengine - INFO - Epoch(train) [28][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:26:39 time: 0.2470 data_time: 0.0344 memory: 2049 grad_norm: 3.1633 loss: 4.7054 loss_cls: 3.0655 loss_bbox: 1.6399 2024/10/26 20:11:19 - mmengine - INFO - Epoch(train) [28][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:26:31 time: 0.2541 data_time: 0.0246 memory: 2049 grad_norm: 3.1506 loss: 4.5166 loss_cls: 2.9776 loss_bbox: 1.5389 2024/10/26 20:11:31 - mmengine - INFO - Epoch(train) [28][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:26:18 time: 0.2458 data_time: 0.0360 memory: 2049 grad_norm: 3.4106 loss: 4.6554 loss_cls: 3.0314 loss_bbox: 1.6240 2024/10/26 20:11:41 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:11:43 - mmengine - INFO - Epoch(train) [28][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:26:00 time: 0.2356 data_time: 0.0274 memory: 2049 grad_norm: 2.9872 loss: 4.6250 loss_cls: 3.0167 loss_bbox: 1.6082 2024/10/26 20:11:55 - mmengine - INFO - Epoch(train) [28][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:25:44 time: 0.2391 data_time: 0.0254 memory: 2049 grad_norm: 2.9120 loss: 4.5887 loss_cls: 2.9957 loss_bbox: 1.5930 2024/10/26 20:12:07 - mmengine - INFO - Epoch(train) [28][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:25:31 time: 0.2463 data_time: 0.0261 memory: 2049 grad_norm: 3.3511 loss: 4.7042 loss_cls: 3.0829 loss_bbox: 1.6214 2024/10/26 20:12:19 - mmengine - INFO - Epoch(train) [28][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:25:17 time: 0.2441 data_time: 0.0268 memory: 2049 grad_norm: 3.1665 loss: 4.7802 loss_cls: 3.0882 loss_bbox: 1.6920 2024/10/26 20:12:31 - mmengine - INFO - Epoch(train) [28][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:25:03 time: 0.2421 data_time: 0.0253 memory: 2049 grad_norm: 3.3876 loss: 4.7389 loss_cls: 3.0573 loss_bbox: 1.6816 2024/10/26 20:12:43 - mmengine - INFO - Epoch(train) [28][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:24:46 time: 0.2379 data_time: 0.0257 memory: 2049 grad_norm: 3.0325 loss: 4.5741 loss_cls: 3.0229 loss_bbox: 1.5512 2024/10/26 20:12:56 - mmengine - INFO - Epoch(train) [28][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:24:33 time: 0.2449 data_time: 0.0252 memory: 2049 grad_norm: 3.1606 loss: 4.5658 loss_cls: 2.9923 loss_bbox: 1.5734 2024/10/26 20:13:07 - mmengine - INFO - Epoch(train) [28][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:24:15 time: 0.2359 data_time: 0.0255 memory: 2049 grad_norm: 2.9728 loss: 4.6464 loss_cls: 3.0315 loss_bbox: 1.6149 2024/10/26 20:13:20 - mmengine - INFO - Epoch(train) [28][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:24:03 time: 0.2470 data_time: 0.0268 memory: 2049 grad_norm: 3.1733 loss: 4.6672 loss_cls: 3.0056 loss_bbox: 1.6616 2024/10/26 20:13:32 - mmengine - INFO - Epoch(train) [28][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:23:49 time: 0.2438 data_time: 0.0352 memory: 2049 grad_norm: 3.1274 loss: 4.6556 loss_cls: 3.0206 loss_bbox: 1.6351 2024/10/26 20:13:44 - mmengine - INFO - Epoch(train) [28][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:23:33 time: 0.2391 data_time: 0.0253 memory: 2049 grad_norm: 3.0873 loss: 4.5713 loss_cls: 2.9662 loss_bbox: 1.6052 2024/10/26 20:13:56 - mmengine - INFO - Epoch(train) [28][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:23:19 time: 0.2434 data_time: 0.0329 memory: 2049 grad_norm: 3.0443 loss: 4.7012 loss_cls: 3.0667 loss_bbox: 1.6345 2024/10/26 20:14:08 - mmengine - INFO - Epoch(train) [28][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:23:02 time: 0.2381 data_time: 0.0314 memory: 2049 grad_norm: 3.1595 loss: 4.6991 loss_cls: 3.0866 loss_bbox: 1.6125 2024/10/26 20:14:20 - mmengine - INFO - Epoch(train) [28][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:22:48 time: 0.2435 data_time: 0.0256 memory: 2049 grad_norm: 3.3722 loss: 4.6718 loss_cls: 3.0304 loss_bbox: 1.6413 2024/10/26 20:14:33 - mmengine - INFO - Epoch(train) [28][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:22:37 time: 0.2496 data_time: 0.0270 memory: 2049 grad_norm: 3.0322 loss: 4.7840 loss_cls: 3.0785 loss_bbox: 1.7055 2024/10/26 20:14:45 - mmengine - INFO - Epoch(train) [28][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:22:23 time: 0.2429 data_time: 0.0276 memory: 2049 grad_norm: 2.9539 loss: 4.6858 loss_cls: 3.0311 loss_bbox: 1.6547 2024/10/26 20:14:58 - mmengine - INFO - Epoch(train) [28][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:22:14 time: 0.2542 data_time: 0.0251 memory: 2049 grad_norm: 3.0880 loss: 4.7226 loss_cls: 3.0922 loss_bbox: 1.6304 2024/10/26 20:15:09 - mmengine - INFO - Epoch(train) [28][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:21:54 time: 0.2308 data_time: 0.0257 memory: 2049 grad_norm: 3.1210 loss: 4.6367 loss_cls: 3.0295 loss_bbox: 1.6072 2024/10/26 20:15:22 - mmengine - INFO - Epoch(train) [28][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:21:47 time: 0.2569 data_time: 0.0257 memory: 2049 grad_norm: 2.9146 loss: 4.6966 loss_cls: 3.0129 loss_bbox: 1.6837 2024/10/26 20:15:34 - mmengine - INFO - Epoch(train) [28][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:21:28 time: 0.2337 data_time: 0.0257 memory: 2049 grad_norm: 3.1771 loss: 4.6781 loss_cls: 3.0391 loss_bbox: 1.6391 2024/10/26 20:15:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:15:46 - mmengine - INFO - Epoch(train) [28][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:21:17 time: 0.2480 data_time: 0.0270 memory: 2049 grad_norm: 3.3542 loss: 4.7307 loss_cls: 3.0550 loss_bbox: 1.6757 2024/10/26 20:15:58 - mmengine - INFO - Epoch(train) [28][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:21:03 time: 0.2431 data_time: 0.0278 memory: 2049 grad_norm: 3.1604 loss: 4.7595 loss_cls: 3.0844 loss_bbox: 1.6750 2024/10/26 20:16:10 - mmengine - INFO - Epoch(train) [28][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:20:48 time: 0.2417 data_time: 0.0259 memory: 2049 grad_norm: 3.2699 loss: 4.7265 loss_cls: 3.0525 loss_bbox: 1.6740 2024/10/26 20:16:23 - mmengine - INFO - Epoch(train) [28][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:20:38 time: 0.2508 data_time: 0.0265 memory: 2049 grad_norm: 2.9062 loss: 4.6241 loss_cls: 3.0203 loss_bbox: 1.6037 2024/10/26 20:16:35 - mmengine - INFO - Epoch(train) [28][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:20:22 time: 0.2391 data_time: 0.0308 memory: 2049 grad_norm: 3.1368 loss: 4.7579 loss_cls: 3.1104 loss_bbox: 1.6475 2024/10/26 20:16:48 - mmengine - INFO - Epoch(train) [28][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:20:12 time: 0.2534 data_time: 0.0272 memory: 2049 grad_norm: 3.0792 loss: 4.6739 loss_cls: 3.0450 loss_bbox: 1.6289 2024/10/26 20:16:59 - mmengine - INFO - Epoch(train) [28][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:19:56 time: 0.2391 data_time: 0.0273 memory: 2049 grad_norm: 3.0669 loss: 4.6393 loss_cls: 3.0384 loss_bbox: 1.6009 2024/10/26 20:17:12 - mmengine - INFO - Epoch(train) [28][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:19:41 time: 0.2410 data_time: 0.0278 memory: 2049 grad_norm: 2.9809 loss: 4.6626 loss_cls: 3.0382 loss_bbox: 1.6244 2024/10/26 20:17:24 - mmengine - INFO - Epoch(train) [28][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:19:35 time: 0.2584 data_time: 0.0361 memory: 2049 grad_norm: 3.1277 loss: 4.6407 loss_cls: 2.9899 loss_bbox: 1.6507 2024/10/26 20:17:36 - mmengine - INFO - Epoch(train) [28][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:19:14 time: 0.2293 data_time: 0.0266 memory: 2049 grad_norm: 3.3353 loss: 4.7570 loss_cls: 3.0651 loss_bbox: 1.6919 2024/10/26 20:17:49 - mmengine - INFO - Epoch(train) [28][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:19:07 time: 0.2586 data_time: 0.0259 memory: 2049 grad_norm: 3.3660 loss: 4.5918 loss_cls: 2.9648 loss_bbox: 1.6271 2024/10/26 20:18:01 - mmengine - INFO - Epoch(train) [28][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:18:49 time: 0.2327 data_time: 0.0279 memory: 2049 grad_norm: 3.2439 loss: 4.7270 loss_cls: 3.0836 loss_bbox: 1.6433 2024/10/26 20:18:13 - mmengine - INFO - Epoch(train) [28][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:18:41 time: 0.2559 data_time: 0.0327 memory: 2049 grad_norm: 2.9577 loss: 4.6066 loss_cls: 3.0135 loss_bbox: 1.5931 2024/10/26 20:18:27 - mmengine - INFO - Epoch(train) [28][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:18:38 time: 0.2662 data_time: 0.0380 memory: 2049 grad_norm: 3.2458 loss: 4.6742 loss_cls: 2.9953 loss_bbox: 1.6788 2024/10/26 20:18:39 - mmengine - INFO - Epoch(train) [28][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:18:21 time: 0.2372 data_time: 0.0297 memory: 2049 grad_norm: 3.1586 loss: 4.6238 loss_cls: 2.9845 loss_bbox: 1.6393 2024/10/26 20:18:51 - mmengine - INFO - Epoch(train) [28][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:18:13 time: 0.2571 data_time: 0.0254 memory: 2049 grad_norm: 3.1145 loss: 4.7149 loss_cls: 3.0483 loss_bbox: 1.6666 2024/10/26 20:19:03 - mmengine - INFO - Epoch(train) [28][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:17:57 time: 0.2380 data_time: 0.0253 memory: 2049 grad_norm: 3.1768 loss: 4.7242 loss_cls: 3.0586 loss_bbox: 1.6656 2024/10/26 20:19:17 - mmengine - INFO - Epoch(train) [28][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:17:57 time: 0.2730 data_time: 0.0566 memory: 2049 grad_norm: 3.3328 loss: 4.6069 loss_cls: 3.0139 loss_bbox: 1.5930 2024/10/26 20:19:30 - mmengine - INFO - Epoch(train) [28][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:17:53 time: 0.2652 data_time: 0.0346 memory: 2049 grad_norm: 3.1398 loss: 4.5151 loss_cls: 2.9455 loss_bbox: 1.5696 2024/10/26 20:19:42 - mmengine - INFO - Epoch(train) [28][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:17:37 time: 0.2382 data_time: 0.0325 memory: 2049 grad_norm: 3.3053 loss: 4.6490 loss_cls: 2.9967 loss_bbox: 1.6522 2024/10/26 20:19:53 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:19:55 - mmengine - INFO - Epoch(train) [28][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:17:32 time: 0.2628 data_time: 0.0251 memory: 2049 grad_norm: 3.0827 loss: 4.6349 loss_cls: 2.9755 loss_bbox: 1.6594 2024/10/26 20:20:07 - mmengine - INFO - Epoch(train) [28][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:17:12 time: 0.2289 data_time: 0.0298 memory: 2049 grad_norm: 2.9465 loss: 4.5550 loss_cls: 2.9917 loss_bbox: 1.5633 2024/10/26 20:20:19 - mmengine - INFO - Epoch(train) [28][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:16:55 time: 0.2375 data_time: 0.0251 memory: 2049 grad_norm: 3.3063 loss: 4.6667 loss_cls: 3.0467 loss_bbox: 1.6201 2024/10/26 20:20:31 - mmengine - INFO - Epoch(train) [28][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:16:44 time: 0.2491 data_time: 0.0247 memory: 2049 grad_norm: 3.2603 loss: 4.6209 loss_cls: 3.0276 loss_bbox: 1.5933 2024/10/26 20:20:43 - mmengine - INFO - Epoch(train) [28][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:16:26 time: 0.2344 data_time: 0.0266 memory: 2049 grad_norm: 2.8986 loss: 4.5528 loss_cls: 2.9668 loss_bbox: 1.5860 2024/10/26 20:20:56 - mmengine - INFO - Epoch(train) [28][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:16:22 time: 0.2649 data_time: 0.0349 memory: 2049 grad_norm: 3.2242 loss: 4.6681 loss_cls: 3.0198 loss_bbox: 1.6483 2024/10/26 20:21:08 - mmengine - INFO - Epoch(train) [28][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:16:05 time: 0.2364 data_time: 0.0250 memory: 2049 grad_norm: 3.0371 loss: 4.6909 loss_cls: 3.0751 loss_bbox: 1.6158 2024/10/26 20:21:20 - mmengine - INFO - Epoch(train) [28][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:15:53 time: 0.2483 data_time: 0.0267 memory: 2049 grad_norm: 3.1834 loss: 4.6543 loss_cls: 3.0628 loss_bbox: 1.5915 2024/10/26 20:21:33 - mmengine - INFO - Epoch(train) [28][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:15:40 time: 0.2458 data_time: 0.0250 memory: 2049 grad_norm: 3.0340 loss: 4.6629 loss_cls: 3.0233 loss_bbox: 1.6396 2024/10/26 20:21:45 - mmengine - INFO - Epoch(train) [28][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:15:24 time: 0.2386 data_time: 0.0248 memory: 2049 grad_norm: 3.0254 loss: 4.5680 loss_cls: 2.9536 loss_bbox: 1.6144 2024/10/26 20:21:57 - mmengine - INFO - Epoch(train) [28][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:15:13 time: 0.2490 data_time: 0.0247 memory: 2049 grad_norm: 3.2789 loss: 4.6380 loss_cls: 3.0591 loss_bbox: 1.5789 2024/10/26 20:21:58 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:21:58 - mmengine - INFO - Saving checkpoint at 28 epochs 2024/10/26 20:22:13 - mmengine - INFO - Epoch(train) [29][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:14:59 time: 0.2482 data_time: 0.0374 memory: 2049 grad_norm: 3.1837 loss: 4.5135 loss_cls: 2.9733 loss_bbox: 1.5402 2024/10/26 20:22:26 - mmengine - INFO - Epoch(train) [29][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:14:53 time: 0.2605 data_time: 0.0271 memory: 2049 grad_norm: 3.1530 loss: 4.7226 loss_cls: 3.0785 loss_bbox: 1.6441 2024/10/26 20:22:38 - mmengine - INFO - Epoch(train) [29][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:14:36 time: 0.2383 data_time: 0.0264 memory: 2049 grad_norm: 3.2700 loss: 4.7707 loss_cls: 3.0991 loss_bbox: 1.6716 2024/10/26 20:22:50 - mmengine - INFO - Epoch(train) [29][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:14:26 time: 0.2498 data_time: 0.0257 memory: 2049 grad_norm: 3.1219 loss: 4.6493 loss_cls: 3.0490 loss_bbox: 1.6003 2024/10/26 20:23:03 - mmengine - INFO - Epoch(train) [29][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:14:15 time: 0.2510 data_time: 0.0263 memory: 2049 grad_norm: 2.9924 loss: 4.7010 loss_cls: 3.0317 loss_bbox: 1.6693 2024/10/26 20:23:17 - mmengine - INFO - Epoch(train) [29][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:14:23 time: 0.2920 data_time: 0.0771 memory: 2049 grad_norm: 3.0530 loss: 4.7760 loss_cls: 3.0885 loss_bbox: 1.6876 2024/10/26 20:23:31 - mmengine - INFO - Epoch(train) [29][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:14:20 time: 0.2664 data_time: 0.0299 memory: 2049 grad_norm: 2.9678 loss: 4.6724 loss_cls: 3.0650 loss_bbox: 1.6075 2024/10/26 20:23:43 - mmengine - INFO - Epoch(train) [29][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:14:05 time: 0.2417 data_time: 0.0263 memory: 2049 grad_norm: 3.0105 loss: 4.6691 loss_cls: 3.0473 loss_bbox: 1.6218 2024/10/26 20:23:55 - mmengine - INFO - Epoch(train) [29][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:13:55 time: 0.2501 data_time: 0.0255 memory: 2049 grad_norm: 3.2223 loss: 4.6042 loss_cls: 3.0064 loss_bbox: 1.5978 2024/10/26 20:24:05 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:24:08 - mmengine - INFO - Epoch(train) [29][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:13:46 time: 0.2548 data_time: 0.0259 memory: 2049 grad_norm: 3.1569 loss: 4.6216 loss_cls: 3.0395 loss_bbox: 1.5821 2024/10/26 20:24:20 - mmengine - INFO - Epoch(train) [29][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:13:30 time: 0.2383 data_time: 0.0279 memory: 2049 grad_norm: 3.1497 loss: 4.6765 loss_cls: 3.0378 loss_bbox: 1.6387 2024/10/26 20:24:34 - mmengine - INFO - Epoch(train) [29][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:13:31 time: 0.2780 data_time: 0.0405 memory: 2049 grad_norm: 3.1116 loss: 4.5460 loss_cls: 2.9191 loss_bbox: 1.6269 2024/10/26 20:24:46 - mmengine - INFO - Epoch(train) [29][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:13:18 time: 0.2453 data_time: 0.0268 memory: 2049 grad_norm: 3.0564 loss: 4.6655 loss_cls: 3.0278 loss_bbox: 1.6378 2024/10/26 20:24:59 - mmengine - INFO - Epoch(train) [29][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:13:10 time: 0.2552 data_time: 0.0279 memory: 2049 grad_norm: 3.0912 loss: 4.7495 loss_cls: 3.1041 loss_bbox: 1.6454 2024/10/26 20:25:12 - mmengine - INFO - Epoch(train) [29][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:13:02 time: 0.2568 data_time: 0.0265 memory: 2049 grad_norm: 3.1961 loss: 4.5903 loss_cls: 3.0042 loss_bbox: 1.5861 2024/10/26 20:25:23 - mmengine - INFO - Epoch(train) [29][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:45 time: 0.2361 data_time: 0.0273 memory: 2049 grad_norm: 3.3116 loss: 4.6566 loss_cls: 3.0225 loss_bbox: 1.6341 2024/10/26 20:25:37 - mmengine - INFO - Epoch(train) [29][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:43 time: 0.2717 data_time: 0.0336 memory: 2049 grad_norm: 3.2759 loss: 4.6630 loss_cls: 3.0123 loss_bbox: 1.6508 2024/10/26 20:25:49 - mmengine - INFO - Epoch(train) [29][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:31 time: 0.2468 data_time: 0.0348 memory: 2049 grad_norm: 3.1434 loss: 4.7673 loss_cls: 3.0955 loss_bbox: 1.6717 2024/10/26 20:26:03 - mmengine - INFO - Epoch(train) [29][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:31 time: 0.2743 data_time: 0.0304 memory: 2049 grad_norm: 3.2481 loss: 4.6862 loss_cls: 3.0362 loss_bbox: 1.6500 2024/10/26 20:26:18 - mmengine - INFO - Epoch(train) [29][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:42 time: 0.3000 data_time: 0.0744 memory: 2049 grad_norm: 3.1444 loss: 4.7448 loss_cls: 3.0664 loss_bbox: 1.6784 2024/10/26 20:26:31 - mmengine - INFO - Epoch(train) [29][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:31 time: 0.2496 data_time: 0.0265 memory: 2049 grad_norm: 3.0117 loss: 4.6517 loss_cls: 3.0164 loss_bbox: 1.6353 2024/10/26 20:26:44 - mmengine - INFO - Epoch(train) [29][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:25 time: 0.2624 data_time: 0.0271 memory: 2049 grad_norm: 3.0219 loss: 4.6685 loss_cls: 3.0449 loss_bbox: 1.6236 2024/10/26 20:26:57 - mmengine - INFO - Epoch(train) [29][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:17 time: 0.2564 data_time: 0.0350 memory: 2049 grad_norm: 2.8614 loss: 4.6795 loss_cls: 3.0412 loss_bbox: 1.6383 2024/10/26 20:27:09 - mmengine - INFO - Epoch(train) [29][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:10 time: 0.2583 data_time: 0.0276 memory: 2049 grad_norm: 3.0128 loss: 4.6680 loss_cls: 3.0414 loss_bbox: 1.6267 2024/10/26 20:27:23 - mmengine - INFO - Epoch(train) [29][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:10 time: 0.2757 data_time: 0.0352 memory: 2049 grad_norm: 3.1248 loss: 4.7047 loss_cls: 3.0607 loss_bbox: 1.6440 2024/10/26 20:27:36 - mmengine - INFO - Epoch(train) [29][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:03 time: 0.2590 data_time: 0.0303 memory: 2049 grad_norm: 3.1047 loss: 4.6652 loss_cls: 3.0395 loss_bbox: 1.6257 2024/10/26 20:27:51 - mmengine - INFO - Epoch(train) [29][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:09 time: 0.2906 data_time: 0.0506 memory: 2049 grad_norm: 3.0003 loss: 4.7719 loss_cls: 3.1035 loss_bbox: 1.6684 2024/10/26 20:28:04 - mmengine - INFO - Epoch(train) [29][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:03 time: 0.2616 data_time: 0.0265 memory: 2049 grad_norm: 3.1863 loss: 4.6257 loss_cls: 2.9895 loss_bbox: 1.6363 2024/10/26 20:28:18 - mmengine - INFO - Epoch(train) [29][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:06 time: 0.2821 data_time: 0.0467 memory: 2049 grad_norm: 3.1667 loss: 4.7049 loss_cls: 3.0580 loss_bbox: 1.6469 2024/10/26 20:28:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:28:31 - mmengine - INFO - Epoch(train) [29][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:12:01 time: 0.2634 data_time: 0.0272 memory: 2049 grad_norm: 2.9863 loss: 4.7676 loss_cls: 3.0986 loss_bbox: 1.6689 2024/10/26 20:28:44 - mmengine - INFO - Epoch(train) [29][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:54 time: 0.2607 data_time: 0.0297 memory: 2049 grad_norm: 3.3387 loss: 4.7151 loss_cls: 3.0383 loss_bbox: 1.6768 2024/10/26 20:28:58 - mmengine - INFO - Epoch(train) [29][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:57 time: 0.2810 data_time: 0.0271 memory: 2049 grad_norm: 3.2441 loss: 4.6140 loss_cls: 2.9836 loss_bbox: 1.6304 2024/10/26 20:29:11 - mmengine - INFO - Epoch(train) [29][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:48 time: 0.2568 data_time: 0.0271 memory: 2049 grad_norm: 3.1480 loss: 4.7805 loss_cls: 3.0582 loss_bbox: 1.7223 2024/10/26 20:29:25 - mmengine - INFO - Epoch(train) [29][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:45 time: 0.2696 data_time: 0.0270 memory: 2049 grad_norm: 2.9798 loss: 4.6048 loss_cls: 3.0398 loss_bbox: 1.5649 2024/10/26 20:29:37 - mmengine - INFO - Epoch(train) [29][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:34 time: 0.2502 data_time: 0.0348 memory: 2049 grad_norm: 3.2300 loss: 4.6709 loss_cls: 3.0325 loss_bbox: 1.6383 2024/10/26 20:29:50 - mmengine - INFO - Epoch(train) [29][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:28 time: 0.2618 data_time: 0.0327 memory: 2049 grad_norm: 3.0369 loss: 4.5854 loss_cls: 2.9613 loss_bbox: 1.6240 2024/10/26 20:30:04 - mmengine - INFO - Epoch(train) [29][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:29 time: 0.2777 data_time: 0.0300 memory: 2049 grad_norm: 3.1996 loss: 4.8048 loss_cls: 3.0927 loss_bbox: 1.7121 2024/10/26 20:30:18 - mmengine - INFO - Epoch(train) [29][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:30 time: 0.2789 data_time: 0.0577 memory: 2049 grad_norm: 3.1206 loss: 4.6170 loss_cls: 3.0212 loss_bbox: 1.5958 2024/10/26 20:30:32 - mmengine - INFO - Epoch(train) [29][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:27 time: 0.2699 data_time: 0.0269 memory: 2049 grad_norm: 3.1771 loss: 4.6558 loss_cls: 3.0102 loss_bbox: 1.6457 2024/10/26 20:30:45 - mmengine - INFO - Epoch(train) [29][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:21 time: 0.2629 data_time: 0.0395 memory: 2049 grad_norm: 3.1446 loss: 4.7336 loss_cls: 3.0645 loss_bbox: 1.6691 2024/10/26 20:30:57 - mmengine - INFO - Epoch(train) [29][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:09 time: 0.2489 data_time: 0.0278 memory: 2049 grad_norm: 3.1626 loss: 4.7009 loss_cls: 3.0572 loss_bbox: 1.6437 2024/10/26 20:31:11 - mmengine - INFO - Epoch(train) [29][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:12 time: 0.2830 data_time: 0.0349 memory: 2049 grad_norm: 2.9996 loss: 4.7355 loss_cls: 3.0877 loss_bbox: 1.6478 2024/10/26 20:31:24 - mmengine - INFO - Epoch(train) [29][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:04 time: 0.2574 data_time: 0.0367 memory: 2049 grad_norm: 3.0073 loss: 4.5875 loss_cls: 2.9839 loss_bbox: 1.6035 2024/10/26 20:31:38 - mmengine - INFO - Epoch(train) [29][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:00 time: 0.2673 data_time: 0.0284 memory: 2049 grad_norm: 2.8855 loss: 4.6604 loss_cls: 3.0194 loss_bbox: 1.6410 2024/10/26 20:31:50 - mmengine - INFO - Epoch(train) [29][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:10:49 time: 0.2518 data_time: 0.0261 memory: 2049 grad_norm: 3.1238 loss: 4.6383 loss_cls: 3.0327 loss_bbox: 1.6056 2024/10/26 20:32:03 - mmengine - INFO - Epoch(train) [29][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:10:39 time: 0.2530 data_time: 0.0264 memory: 2049 grad_norm: 3.2089 loss: 4.7295 loss_cls: 3.0923 loss_bbox: 1.6372 2024/10/26 20:32:20 - mmengine - INFO - Epoch(train) [29][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:11:03 time: 0.3347 data_time: 0.0993 memory: 2049 grad_norm: 3.1857 loss: 4.6721 loss_cls: 3.0189 loss_bbox: 1.6532 2024/10/26 20:32:32 - mmengine - INFO - Epoch(train) [29][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:10:50 time: 0.2455 data_time: 0.0270 memory: 2049 grad_norm: 3.2209 loss: 4.6291 loss_cls: 3.0171 loss_bbox: 1.6119 2024/10/26 20:32:45 - mmengine - INFO - Epoch(train) [29][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:10:49 time: 0.2741 data_time: 0.0423 memory: 2049 grad_norm: 3.1046 loss: 4.6959 loss_cls: 3.0488 loss_bbox: 1.6471 2024/10/26 20:32:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:32:58 - mmengine - INFO - Epoch(train) [29][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:10:35 time: 0.2442 data_time: 0.0321 memory: 2049 grad_norm: 3.1424 loss: 4.7741 loss_cls: 3.0705 loss_bbox: 1.7036 2024/10/26 20:33:11 - mmengine - INFO - Epoch(train) [29][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:10:27 time: 0.2600 data_time: 0.0258 memory: 2049 grad_norm: 2.9741 loss: 4.7968 loss_cls: 3.0689 loss_bbox: 1.7279 2024/10/26 20:33:23 - mmengine - INFO - Epoch(train) [29][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:10:17 time: 0.2535 data_time: 0.0336 memory: 2049 grad_norm: 2.9076 loss: 4.6028 loss_cls: 3.0248 loss_bbox: 1.5780 2024/10/26 20:33:35 - mmengine - INFO - Epoch(train) [29][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:10:01 time: 0.2374 data_time: 0.0261 memory: 2049 grad_norm: 3.3746 loss: 4.7594 loss_cls: 3.0622 loss_bbox: 1.6972 2024/10/26 20:33:49 - mmengine - INFO - Epoch(train) [29][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:09:58 time: 0.2718 data_time: 0.0281 memory: 2049 grad_norm: 3.1374 loss: 4.6945 loss_cls: 3.0471 loss_bbox: 1.6474 2024/10/26 20:34:01 - mmengine - INFO - Epoch(train) [29][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:09:44 time: 0.2438 data_time: 0.0280 memory: 2049 grad_norm: 3.0125 loss: 4.5869 loss_cls: 3.0047 loss_bbox: 1.5822 2024/10/26 20:34:18 - mmengine - INFO - Epoch(train) [29][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:10:07 time: 0.3318 data_time: 0.1151 memory: 2049 grad_norm: 3.2519 loss: 4.7167 loss_cls: 3.0580 loss_bbox: 1.6587 2024/10/26 20:34:30 - mmengine - INFO - Epoch(train) [29][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:09:57 time: 0.2554 data_time: 0.0294 memory: 2049 grad_norm: 3.2418 loss: 4.6885 loss_cls: 3.0322 loss_bbox: 1.6563 2024/10/26 20:34:42 - mmengine - INFO - Epoch(train) [29][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:09:40 time: 0.2357 data_time: 0.0289 memory: 2049 grad_norm: 2.9470 loss: 4.7041 loss_cls: 3.0352 loss_bbox: 1.6689 2024/10/26 20:34:56 - mmengine - INFO - Epoch(train) [29][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:09:35 time: 0.2674 data_time: 0.0250 memory: 2049 grad_norm: 3.1760 loss: 4.6284 loss_cls: 3.0029 loss_bbox: 1.6256 2024/10/26 20:35:08 - mmengine - INFO - Epoch(train) [29][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:09:19 time: 0.2388 data_time: 0.0266 memory: 2049 grad_norm: 3.1267 loss: 4.7993 loss_cls: 3.0505 loss_bbox: 1.7488 2024/10/26 20:35:20 - mmengine - INFO - Epoch(train) [29][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:09:07 time: 0.2495 data_time: 0.0268 memory: 2049 grad_norm: 3.0040 loss: 4.6780 loss_cls: 3.0619 loss_bbox: 1.6161 2024/10/26 20:35:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:35:21 - mmengine - INFO - Saving checkpoint at 29 epochs 2024/10/26 20:35:38 - mmengine - INFO - Epoch(train) [30][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:08:59 time: 0.2586 data_time: 0.0402 memory: 2049 grad_norm: 3.2135 loss: 4.6606 loss_cls: 3.0474 loss_bbox: 1.6132 2024/10/26 20:35:49 - mmengine - INFO - Epoch(train) [30][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:08:39 time: 0.2290 data_time: 0.0276 memory: 2049 grad_norm: 3.1676 loss: 4.6142 loss_cls: 3.0151 loss_bbox: 1.5991 2024/10/26 20:36:01 - mmengine - INFO - Epoch(train) [30][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:08:26 time: 0.2485 data_time: 0.0304 memory: 2049 grad_norm: 3.1868 loss: 4.6049 loss_cls: 2.9855 loss_bbox: 1.6195 2024/10/26 20:36:13 - mmengine - INFO - Epoch(train) [30][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:08:10 time: 0.2373 data_time: 0.0330 memory: 2049 grad_norm: 3.1828 loss: 4.6555 loss_cls: 3.0317 loss_bbox: 1.6238 2024/10/26 20:36:25 - mmengine - INFO - Epoch(train) [30][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:07:54 time: 0.2389 data_time: 0.0289 memory: 2049 grad_norm: 3.0850 loss: 4.7624 loss_cls: 3.1013 loss_bbox: 1.6612 2024/10/26 20:36:37 - mmengine - INFO - Epoch(train) [30][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:07:37 time: 0.2378 data_time: 0.0289 memory: 2049 grad_norm: 3.0325 loss: 4.7190 loss_cls: 3.0803 loss_bbox: 1.6387 2024/10/26 20:36:49 - mmengine - INFO - Epoch(train) [30][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:07:21 time: 0.2394 data_time: 0.0369 memory: 2049 grad_norm: 2.9725 loss: 4.7510 loss_cls: 3.0762 loss_bbox: 1.6747 2024/10/26 20:37:02 - mmengine - INFO - Epoch(train) [30][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:07:15 time: 0.2637 data_time: 0.0339 memory: 2049 grad_norm: 3.0584 loss: 4.6466 loss_cls: 3.0230 loss_bbox: 1.6236 2024/10/26 20:37:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:37:16 - mmengine - INFO - Epoch(train) [30][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:07:17 time: 0.2827 data_time: 0.0892 memory: 2049 grad_norm: 3.0581 loss: 4.7357 loss_cls: 3.0972 loss_bbox: 1.6385 2024/10/26 20:37:29 - mmengine - INFO - Epoch(train) [30][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:07:08 time: 0.2581 data_time: 0.0360 memory: 2049 grad_norm: 3.2361 loss: 4.6691 loss_cls: 3.0666 loss_bbox: 1.6025 2024/10/26 20:37:41 - mmengine - INFO - Epoch(train) [30][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:06:52 time: 0.2378 data_time: 0.0280 memory: 2049 grad_norm: 3.2308 loss: 4.7752 loss_cls: 3.0668 loss_bbox: 1.7084 2024/10/26 20:37:53 - mmengine - INFO - Epoch(train) [30][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:06:35 time: 0.2373 data_time: 0.0303 memory: 2049 grad_norm: 3.0611 loss: 4.6348 loss_cls: 3.0251 loss_bbox: 1.6097 2024/10/26 20:38:07 - mmengine - INFO - Epoch(train) [30][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:06:32 time: 0.2718 data_time: 0.0470 memory: 2049 grad_norm: 3.1056 loss: 4.6137 loss_cls: 2.9974 loss_bbox: 1.6164 2024/10/26 20:38:19 - mmengine - INFO - Epoch(train) [30][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:06:16 time: 0.2392 data_time: 0.0271 memory: 2049 grad_norm: 2.9970 loss: 4.5551 loss_cls: 3.0073 loss_bbox: 1.5478 2024/10/26 20:38:32 - mmengine - INFO - Epoch(train) [30][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:06:07 time: 0.2572 data_time: 0.0271 memory: 2049 grad_norm: 3.1951 loss: 4.6940 loss_cls: 3.0061 loss_bbox: 1.6879 2024/10/26 20:38:44 - mmengine - INFO - Epoch(train) [30][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:05:58 time: 0.2567 data_time: 0.0331 memory: 2049 grad_norm: 3.1046 loss: 4.5987 loss_cls: 2.9715 loss_bbox: 1.6272 2024/10/26 20:38:57 - mmengine - INFO - Epoch(train) [30][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:05:45 time: 0.2450 data_time: 0.0271 memory: 2049 grad_norm: 3.0248 loss: 4.6054 loss_cls: 2.9897 loss_bbox: 1.6157 2024/10/26 20:39:10 - mmengine - INFO - Epoch(train) [30][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:05:36 time: 0.2577 data_time: 0.0287 memory: 2049 grad_norm: 3.0364 loss: 4.5891 loss_cls: 2.9871 loss_bbox: 1.6020 2024/10/26 20:39:21 - mmengine - INFO - Epoch(train) [30][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:05:19 time: 0.2371 data_time: 0.0261 memory: 2049 grad_norm: 3.2068 loss: 4.6393 loss_cls: 2.9979 loss_bbox: 1.6414 2024/10/26 20:39:34 - mmengine - INFO - Epoch(train) [30][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:05:05 time: 0.2434 data_time: 0.0233 memory: 2049 grad_norm: 3.1486 loss: 4.6473 loss_cls: 3.0266 loss_bbox: 1.6207 2024/10/26 20:39:46 - mmengine - INFO - Epoch(train) [30][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:04:52 time: 0.2468 data_time: 0.0303 memory: 2049 grad_norm: 3.0001 loss: 4.7058 loss_cls: 3.1107 loss_bbox: 1.5951 2024/10/26 20:39:58 - mmengine - INFO - Epoch(train) [30][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:04:40 time: 0.2482 data_time: 0.0232 memory: 2049 grad_norm: 3.2861 loss: 4.6326 loss_cls: 3.0300 loss_bbox: 1.6025 2024/10/26 20:40:11 - mmengine - INFO - Epoch(train) [30][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:04:31 time: 0.2569 data_time: 0.0325 memory: 2049 grad_norm: 3.1947 loss: 4.6533 loss_cls: 3.0375 loss_bbox: 1.6158 2024/10/26 20:40:23 - mmengine - INFO - Epoch(train) [30][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:04:13 time: 0.2336 data_time: 0.0226 memory: 2049 grad_norm: 2.9947 loss: 4.7027 loss_cls: 3.0458 loss_bbox: 1.6569 2024/10/26 20:40:36 - mmengine - INFO - Epoch(train) [30][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:04:03 time: 0.2551 data_time: 0.0318 memory: 2049 grad_norm: 2.9378 loss: 4.6737 loss_cls: 3.0740 loss_bbox: 1.5998 2024/10/26 20:40:48 - mmengine - INFO - Epoch(train) [30][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:03:51 time: 0.2478 data_time: 0.0265 memory: 2049 grad_norm: 3.1820 loss: 4.6932 loss_cls: 3.0595 loss_bbox: 1.6337 2024/10/26 20:41:01 - mmengine - INFO - Epoch(train) [30][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:03:41 time: 0.2553 data_time: 0.0259 memory: 2049 grad_norm: 3.2114 loss: 4.6755 loss_cls: 3.0695 loss_bbox: 1.6061 2024/10/26 20:41:14 - mmengine - INFO - Epoch(train) [30][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:03:32 time: 0.2570 data_time: 0.0273 memory: 2049 grad_norm: 3.1928 loss: 4.7003 loss_cls: 3.0360 loss_bbox: 1.6642 2024/10/26 20:41:22 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:41:26 - mmengine - INFO - Epoch(train) [30][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:03:19 time: 0.2461 data_time: 0.0266 memory: 2049 grad_norm: 3.0786 loss: 4.7015 loss_cls: 3.0537 loss_bbox: 1.6478 2024/10/26 20:41:39 - mmengine - INFO - Epoch(train) [30][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:03:09 time: 0.2534 data_time: 0.0340 memory: 2049 grad_norm: 3.1059 loss: 4.7361 loss_cls: 3.0566 loss_bbox: 1.6794 2024/10/26 20:41:51 - mmengine - INFO - Epoch(train) [30][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:02:57 time: 0.2496 data_time: 0.0280 memory: 2049 grad_norm: 3.1612 loss: 4.6243 loss_cls: 3.0194 loss_bbox: 1.6049 2024/10/26 20:42:04 - mmengine - INFO - Epoch(train) [30][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:02:48 time: 0.2575 data_time: 0.0332 memory: 2049 grad_norm: 2.9622 loss: 4.6043 loss_cls: 3.0175 loss_bbox: 1.5868 2024/10/26 20:42:19 - mmengine - INFO - Epoch(train) [30][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:02:54 time: 0.2959 data_time: 0.0659 memory: 2049 grad_norm: 3.0148 loss: 4.5856 loss_cls: 3.0091 loss_bbox: 1.5765 2024/10/26 20:42:31 - mmengine - INFO - Epoch(train) [30][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:02:40 time: 0.2433 data_time: 0.0255 memory: 2049 grad_norm: 3.2186 loss: 4.6764 loss_cls: 3.0072 loss_bbox: 1.6692 2024/10/26 20:42:44 - mmengine - INFO - Epoch(train) [30][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:02:34 time: 0.2644 data_time: 0.0374 memory: 2049 grad_norm: 3.0340 loss: 4.6285 loss_cls: 3.0620 loss_bbox: 1.5665 2024/10/26 20:42:56 - mmengine - INFO - Epoch(train) [30][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:02:18 time: 0.2400 data_time: 0.0259 memory: 2049 grad_norm: 3.2971 loss: 4.6240 loss_cls: 3.0012 loss_bbox: 1.6228 2024/10/26 20:43:09 - mmengine - INFO - Epoch(train) [30][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:02:11 time: 0.2624 data_time: 0.0361 memory: 2049 grad_norm: 3.1102 loss: 4.7364 loss_cls: 3.0796 loss_bbox: 1.6567 2024/10/26 20:43:22 - mmengine - INFO - Epoch(train) [30][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:02:00 time: 0.2501 data_time: 0.0256 memory: 2049 grad_norm: 3.1396 loss: 4.6735 loss_cls: 3.0073 loss_bbox: 1.6662 2024/10/26 20:43:34 - mmengine - INFO - Epoch(train) [30][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:01:47 time: 0.2466 data_time: 0.0304 memory: 2049 grad_norm: 3.2984 loss: 4.6908 loss_cls: 3.0305 loss_bbox: 1.6602 2024/10/26 20:43:47 - mmengine - INFO - Epoch(train) [30][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:01:38 time: 0.2578 data_time: 0.0258 memory: 2049 grad_norm: 3.2858 loss: 4.5922 loss_cls: 2.9999 loss_bbox: 1.5923 2024/10/26 20:44:00 - mmengine - INFO - Epoch(train) [30][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:01:26 time: 0.2487 data_time: 0.0257 memory: 2049 grad_norm: 3.1353 loss: 4.5443 loss_cls: 2.9682 loss_bbox: 1.5761 2024/10/26 20:44:12 - mmengine - INFO - Epoch(train) [30][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:01:17 time: 0.2583 data_time: 0.0344 memory: 2049 grad_norm: 3.1919 loss: 4.6748 loss_cls: 3.0322 loss_bbox: 1.6425 2024/10/26 20:44:26 - mmengine - INFO - Epoch(train) [30][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:01:11 time: 0.2646 data_time: 0.0274 memory: 2049 grad_norm: 3.2310 loss: 4.7329 loss_cls: 3.0545 loss_bbox: 1.6784 2024/10/26 20:44:38 - mmengine - INFO - Epoch(train) [30][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:00:58 time: 0.2476 data_time: 0.0257 memory: 2049 grad_norm: 3.1433 loss: 4.5763 loss_cls: 2.9879 loss_bbox: 1.5884 2024/10/26 20:44:51 - mmengine - INFO - Epoch(train) [30][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:00:52 time: 0.2646 data_time: 0.0383 memory: 2049 grad_norm: 3.0648 loss: 4.6087 loss_cls: 2.9934 loss_bbox: 1.6153 2024/10/26 20:45:03 - mmengine - INFO - Epoch(train) [30][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:00:38 time: 0.2427 data_time: 0.0258 memory: 2049 grad_norm: 3.1139 loss: 4.7367 loss_cls: 3.0787 loss_bbox: 1.6579 2024/10/26 20:45:17 - mmengine - INFO - Epoch(train) [30][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:00:33 time: 0.2675 data_time: 0.0680 memory: 2049 grad_norm: 3.1312 loss: 4.5830 loss_cls: 2.9967 loss_bbox: 1.5862 2024/10/26 20:45:30 - mmengine - INFO - Epoch(train) [30][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:00:23 time: 0.2560 data_time: 0.0340 memory: 2049 grad_norm: 3.2636 loss: 4.6794 loss_cls: 3.0449 loss_bbox: 1.6344 2024/10/26 20:45:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:45:42 - mmengine - INFO - Epoch(train) [30][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:00:13 time: 0.2553 data_time: 0.0389 memory: 2049 grad_norm: 3.0651 loss: 4.5745 loss_cls: 2.9878 loss_bbox: 1.5867 2024/10/26 20:45:55 - mmengine - INFO - Epoch(train) [30][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 19:00:01 time: 0.2481 data_time: 0.0277 memory: 2049 grad_norm: 3.0986 loss: 4.6662 loss_cls: 3.0109 loss_bbox: 1.6553 2024/10/26 20:46:08 - mmengine - INFO - Epoch(train) [30][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:59:51 time: 0.2563 data_time: 0.0320 memory: 2049 grad_norm: 2.9824 loss: 4.6415 loss_cls: 3.0216 loss_bbox: 1.6199 2024/10/26 20:46:20 - mmengine - INFO - Epoch(train) [30][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:59:39 time: 0.2478 data_time: 0.0380 memory: 2049 grad_norm: 3.1136 loss: 4.7057 loss_cls: 3.0512 loss_bbox: 1.6546 2024/10/26 20:46:32 - mmengine - INFO - Epoch(train) [30][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:59:26 time: 0.2470 data_time: 0.0293 memory: 2049 grad_norm: 3.2536 loss: 4.6972 loss_cls: 3.0281 loss_bbox: 1.6691 2024/10/26 20:46:45 - mmengine - INFO - Epoch(train) [30][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:59:15 time: 0.2523 data_time: 0.0267 memory: 2049 grad_norm: 3.1527 loss: 4.6993 loss_cls: 3.0579 loss_bbox: 1.6414 2024/10/26 20:46:58 - mmengine - INFO - Epoch(train) [30][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:59:10 time: 0.2679 data_time: 0.0285 memory: 2049 grad_norm: 3.2228 loss: 4.7362 loss_cls: 3.0424 loss_bbox: 1.6937 2024/10/26 20:47:11 - mmengine - INFO - Epoch(train) [30][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:59:01 time: 0.2572 data_time: 0.0301 memory: 2049 grad_norm: 3.2688 loss: 4.6517 loss_cls: 3.0463 loss_bbox: 1.6054 2024/10/26 20:47:24 - mmengine - INFO - Epoch(train) [30][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:58:51 time: 0.2547 data_time: 0.0339 memory: 2049 grad_norm: 3.2881 loss: 4.5984 loss_cls: 2.9997 loss_bbox: 1.5987 2024/10/26 20:47:37 - mmengine - INFO - Epoch(train) [30][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:58:41 time: 0.2563 data_time: 0.0270 memory: 2049 grad_norm: 3.1798 loss: 4.6623 loss_cls: 3.0151 loss_bbox: 1.6472 2024/10/26 20:47:49 - mmengine - INFO - Epoch(train) [30][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:58:30 time: 0.2513 data_time: 0.0267 memory: 2049 grad_norm: 2.9478 loss: 4.7119 loss_cls: 3.0560 loss_bbox: 1.6559 2024/10/26 20:48:03 - mmengine - INFO - Epoch(train) [30][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:58:24 time: 0.2664 data_time: 0.0343 memory: 2049 grad_norm: 3.2216 loss: 4.6646 loss_cls: 3.0474 loss_bbox: 1.6172 2024/10/26 20:48:17 - mmengine - INFO - Epoch(train) [30][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:58:24 time: 0.2805 data_time: 0.0593 memory: 2049 grad_norm: 3.0005 loss: 4.6300 loss_cls: 2.9875 loss_bbox: 1.6424 2024/10/26 20:48:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:48:18 - mmengine - INFO - Saving checkpoint at 30 epochs 2024/10/26 20:48:24 - mmengine - INFO - Epoch(val) [30][50/79] eta: 0:00:01 time: 0.0449 data_time: 0.0064 memory: 2049 2024/10/26 20:48:39 - mmengine - INFO - Evaluating bbox... 2024/10/26 20:49:46 - mmengine - INFO - bbox_mAP_copypaste: 0.168 0.295 0.170 0.011 0.149 0.333 2024/10/26 20:49:47 - mmengine - INFO - Epoch(val) [30][79/79] coco/bbox_mAP: 0.1680 coco/bbox_mAP_50: 0.2950 coco/bbox_mAP_75: 0.1700 coco/bbox_mAP_s: 0.0110 coco/bbox_mAP_m: 0.1490 coco/bbox_mAP_l: 0.3330 data_time: 0.0059 time: 0.0441 2024/10/26 20:50:00 - mmengine - INFO - Epoch(train) [31][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:58:13 time: 0.2526 data_time: 0.0402 memory: 2049 grad_norm: 3.3631 loss: 4.6916 loss_cls: 3.0255 loss_bbox: 1.6660 2024/10/26 20:50:12 - mmengine - INFO - Epoch(train) [31][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:58:01 time: 0.2498 data_time: 0.0268 memory: 2049 grad_norm: 2.9948 loss: 4.5725 loss_cls: 2.9758 loss_bbox: 1.5967 2024/10/26 20:50:24 - mmengine - INFO - Epoch(train) [31][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:57:41 time: 0.2269 data_time: 0.0270 memory: 2049 grad_norm: 3.1120 loss: 4.6129 loss_cls: 3.0283 loss_bbox: 1.5847 2024/10/26 20:50:37 - mmengine - INFO - Epoch(train) [31][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:57:31 time: 0.2559 data_time: 0.0444 memory: 2049 grad_norm: 3.2605 loss: 4.6698 loss_cls: 3.0479 loss_bbox: 1.6219 2024/10/26 20:50:48 - mmengine - INFO - Epoch(train) [31][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:57:14 time: 0.2363 data_time: 0.0285 memory: 2049 grad_norm: 3.2012 loss: 4.5729 loss_cls: 2.9776 loss_bbox: 1.5953 2024/10/26 20:51:01 - mmengine - INFO - Epoch(train) [31][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:57:00 time: 0.2447 data_time: 0.0271 memory: 2049 grad_norm: 3.0204 loss: 4.7630 loss_cls: 3.1266 loss_bbox: 1.6365 2024/10/26 20:51:14 - mmengine - INFO - Epoch(train) [31][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:56:53 time: 0.2632 data_time: 0.0297 memory: 2049 grad_norm: 3.1400 loss: 4.6826 loss_cls: 3.0494 loss_bbox: 1.6333 2024/10/26 20:51:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:51:25 - mmengine - INFO - Epoch(train) [31][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:56:34 time: 0.2309 data_time: 0.0264 memory: 2049 grad_norm: 3.2108 loss: 4.6749 loss_cls: 3.0377 loss_bbox: 1.6372 2024/10/26 20:51:38 - mmengine - INFO - Epoch(train) [31][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:56:25 time: 0.2583 data_time: 0.0405 memory: 2049 grad_norm: 2.9662 loss: 4.6847 loss_cls: 3.0471 loss_bbox: 1.6376 2024/10/26 20:51:50 - mmengine - INFO - Epoch(train) [31][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:56:09 time: 0.2374 data_time: 0.0265 memory: 2049 grad_norm: 3.2097 loss: 4.5163 loss_cls: 2.9729 loss_bbox: 1.5433 2024/10/26 20:52:02 - mmengine - INFO - Epoch(train) [31][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:55:55 time: 0.2440 data_time: 0.0265 memory: 2049 grad_norm: 3.1453 loss: 4.6122 loss_cls: 2.9999 loss_bbox: 1.6122 2024/10/26 20:52:18 - mmengine - INFO - Epoch(train) [31][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:56:03 time: 0.3043 data_time: 0.0958 memory: 2049 grad_norm: 3.1148 loss: 4.6627 loss_cls: 3.0317 loss_bbox: 1.6310 2024/10/26 20:52:30 - mmengine - INFO - Epoch(train) [31][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:55:47 time: 0.2385 data_time: 0.0278 memory: 2049 grad_norm: 3.3289 loss: 4.7323 loss_cls: 3.0559 loss_bbox: 1.6764 2024/10/26 20:52:42 - mmengine - INFO - Epoch(train) [31][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:55:34 time: 0.2462 data_time: 0.0257 memory: 2049 grad_norm: 3.2673 loss: 4.6541 loss_cls: 3.0012 loss_bbox: 1.6529 2024/10/26 20:52:54 - mmengine - INFO - Epoch(train) [31][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:55:20 time: 0.2456 data_time: 0.0296 memory: 2049 grad_norm: 3.3841 loss: 4.7186 loss_cls: 3.0766 loss_bbox: 1.6420 2024/10/26 20:53:07 - mmengine - INFO - Epoch(train) [31][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:55:08 time: 0.2496 data_time: 0.0260 memory: 2049 grad_norm: 3.1400 loss: 4.7567 loss_cls: 3.0522 loss_bbox: 1.7045 2024/10/26 20:53:19 - mmengine - INFO - Epoch(train) [31][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:54:58 time: 0.2561 data_time: 0.0272 memory: 2049 grad_norm: 3.1750 loss: 4.5563 loss_cls: 3.0129 loss_bbox: 1.5435 2024/10/26 20:53:31 - mmengine - INFO - Epoch(train) [31][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:54:41 time: 0.2347 data_time: 0.0262 memory: 2049 grad_norm: 3.2664 loss: 4.6696 loss_cls: 3.0520 loss_bbox: 1.6176 2024/10/26 20:53:44 - mmengine - INFO - Epoch(train) [31][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:54:30 time: 0.2529 data_time: 0.0286 memory: 2049 grad_norm: 3.1884 loss: 4.6370 loss_cls: 3.0054 loss_bbox: 1.6315 2024/10/26 20:53:56 - mmengine - INFO - Epoch(train) [31][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:54:18 time: 0.2488 data_time: 0.0266 memory: 2049 grad_norm: 3.2558 loss: 4.8016 loss_cls: 3.0767 loss_bbox: 1.7249 2024/10/26 20:54:08 - mmengine - INFO - Epoch(train) [31][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:54:04 time: 0.2434 data_time: 0.0274 memory: 2049 grad_norm: 3.0280 loss: 4.6612 loss_cls: 3.0802 loss_bbox: 1.5811 2024/10/26 20:54:21 - mmengine - INFO - Epoch(train) [31][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:53:55 time: 0.2585 data_time: 0.0360 memory: 2049 grad_norm: 3.1939 loss: 4.6412 loss_cls: 3.0406 loss_bbox: 1.6006 2024/10/26 20:54:33 - mmengine - INFO - Epoch(train) [31][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:53:35 time: 0.2294 data_time: 0.0263 memory: 2049 grad_norm: 3.2137 loss: 4.6064 loss_cls: 3.0414 loss_bbox: 1.5650 2024/10/26 20:54:45 - mmengine - INFO - Epoch(train) [31][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:53:22 time: 0.2467 data_time: 0.0288 memory: 2049 grad_norm: 3.4187 loss: 4.6926 loss_cls: 3.0632 loss_bbox: 1.6294 2024/10/26 20:54:57 - mmengine - INFO - Epoch(train) [31][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:53:06 time: 0.2368 data_time: 0.0268 memory: 2049 grad_norm: 3.0038 loss: 4.6822 loss_cls: 3.0293 loss_bbox: 1.6529 2024/10/26 20:55:09 - mmengine - INFO - Epoch(train) [31][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:52:51 time: 0.2423 data_time: 0.0230 memory: 2049 grad_norm: 3.1282 loss: 4.6937 loss_cls: 3.0499 loss_bbox: 1.6438 2024/10/26 20:55:21 - mmengine - INFO - Epoch(train) [31][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:52:35 time: 0.2371 data_time: 0.0236 memory: 2049 grad_norm: 3.1201 loss: 4.7424 loss_cls: 3.0983 loss_bbox: 1.6442 2024/10/26 20:55:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:55:33 - mmengine - INFO - Epoch(train) [31][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:52:20 time: 0.2422 data_time: 0.0277 memory: 2049 grad_norm: 3.1410 loss: 4.5938 loss_cls: 2.9956 loss_bbox: 1.5982 2024/10/26 20:55:46 - mmengine - INFO - Epoch(train) [31][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:52:11 time: 0.2584 data_time: 0.0318 memory: 2049 grad_norm: 3.0380 loss: 4.7580 loss_cls: 3.0957 loss_bbox: 1.6623 2024/10/26 20:55:58 - mmengine - INFO - Epoch(train) [31][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:51:58 time: 0.2457 data_time: 0.0228 memory: 2049 grad_norm: 3.1129 loss: 4.6579 loss_cls: 3.0069 loss_bbox: 1.6509 2024/10/26 20:56:11 - mmengine - INFO - Epoch(train) [31][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:51:48 time: 0.2561 data_time: 0.0244 memory: 2049 grad_norm: 3.0732 loss: 4.6601 loss_cls: 3.0199 loss_bbox: 1.6403 2024/10/26 20:56:24 - mmengine - INFO - Epoch(train) [31][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:51:36 time: 0.2499 data_time: 0.0228 memory: 2049 grad_norm: 3.2166 loss: 4.6460 loss_cls: 3.0067 loss_bbox: 1.6393 2024/10/26 20:56:36 - mmengine - INFO - Epoch(train) [31][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:51:22 time: 0.2427 data_time: 0.0221 memory: 2049 grad_norm: 3.1467 loss: 4.4927 loss_cls: 2.9559 loss_bbox: 1.5368 2024/10/26 20:56:49 - mmengine - INFO - Epoch(train) [31][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:51:16 time: 0.2690 data_time: 0.0294 memory: 2049 grad_norm: 3.0805 loss: 4.7296 loss_cls: 3.0672 loss_bbox: 1.6624 2024/10/26 20:57:03 - mmengine - INFO - Epoch(train) [31][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:51:11 time: 0.2682 data_time: 0.0312 memory: 2049 grad_norm: 3.0767 loss: 4.6494 loss_cls: 3.0137 loss_bbox: 1.6358 2024/10/26 20:57:18 - mmengine - INFO - Epoch(train) [31][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:51:18 time: 0.3025 data_time: 0.0711 memory: 2049 grad_norm: 3.0932 loss: 4.6667 loss_cls: 3.0392 loss_bbox: 1.6275 2024/10/26 20:57:31 - mmengine - INFO - Epoch(train) [31][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:51:08 time: 0.2568 data_time: 0.0224 memory: 2049 grad_norm: 3.0957 loss: 4.6429 loss_cls: 3.0398 loss_bbox: 1.6031 2024/10/26 20:57:43 - mmengine - INFO - Epoch(train) [31][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:50:54 time: 0.2449 data_time: 0.0215 memory: 2049 grad_norm: 3.2506 loss: 4.6512 loss_cls: 3.0550 loss_bbox: 1.5962 2024/10/26 20:57:56 - mmengine - INFO - Epoch(train) [31][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:50:44 time: 0.2534 data_time: 0.0214 memory: 2049 grad_norm: 3.0763 loss: 4.6355 loss_cls: 2.9875 loss_bbox: 1.6480 2024/10/26 20:58:09 - mmengine - INFO - Epoch(train) [31][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:50:36 time: 0.2624 data_time: 0.0221 memory: 2049 grad_norm: 3.3331 loss: 4.7046 loss_cls: 3.0621 loss_bbox: 1.6425 2024/10/26 20:58:22 - mmengine - INFO - Epoch(train) [31][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:50:28 time: 0.2596 data_time: 0.0235 memory: 2049 grad_norm: 3.0556 loss: 4.6847 loss_cls: 3.0199 loss_bbox: 1.6648 2024/10/26 20:58:35 - mmengine - INFO - Epoch(train) [31][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:50:18 time: 0.2576 data_time: 0.0275 memory: 2049 grad_norm: 2.9633 loss: 4.6989 loss_cls: 3.0554 loss_bbox: 1.6435 2024/10/26 20:58:47 - mmengine - INFO - Epoch(train) [31][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:50:06 time: 0.2475 data_time: 0.0269 memory: 2049 grad_norm: 3.4123 loss: 4.6862 loss_cls: 3.0498 loss_bbox: 1.6364 2024/10/26 20:59:00 - mmengine - INFO - Epoch(train) [31][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:49:57 time: 0.2600 data_time: 0.0253 memory: 2049 grad_norm: 2.9546 loss: 4.5564 loss_cls: 2.9711 loss_bbox: 1.5853 2024/10/26 20:59:13 - mmengine - INFO - Epoch(train) [31][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:49:51 time: 0.2657 data_time: 0.0334 memory: 2049 grad_norm: 3.1023 loss: 4.7885 loss_cls: 3.0790 loss_bbox: 1.7095 2024/10/26 20:59:26 - mmengine - INFO - Epoch(train) [31][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:49:40 time: 0.2548 data_time: 0.0253 memory: 2049 grad_norm: 3.4020 loss: 4.6012 loss_cls: 3.0133 loss_bbox: 1.5879 2024/10/26 20:59:39 - mmengine - INFO - Epoch(train) [31][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:49:32 time: 0.2608 data_time: 0.0280 memory: 2049 grad_norm: 3.0128 loss: 4.6448 loss_cls: 3.0321 loss_bbox: 1.6128 2024/10/26 20:59:47 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 20:59:52 - mmengine - INFO - Epoch(train) [31][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:49:20 time: 0.2485 data_time: 0.0259 memory: 2049 grad_norm: 3.1175 loss: 4.6803 loss_cls: 3.0359 loss_bbox: 1.6444 2024/10/26 21:00:05 - mmengine - INFO - Epoch(train) [31][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:49:14 time: 0.2692 data_time: 0.0280 memory: 2049 grad_norm: 3.2013 loss: 4.7105 loss_cls: 3.0806 loss_bbox: 1.6298 2024/10/26 21:00:18 - mmengine - INFO - Epoch(train) [31][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:49:09 time: 0.2701 data_time: 0.0308 memory: 2049 grad_norm: 3.4199 loss: 4.7549 loss_cls: 3.0860 loss_bbox: 1.6688 2024/10/26 21:00:31 - mmengine - INFO - Epoch(train) [31][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:49:01 time: 0.2598 data_time: 0.0337 memory: 2049 grad_norm: 2.9037 loss: 4.6858 loss_cls: 3.0179 loss_bbox: 1.6679 2024/10/26 21:00:45 - mmengine - INFO - Epoch(train) [31][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:48:53 time: 0.2609 data_time: 0.0320 memory: 2049 grad_norm: 3.0421 loss: 4.7618 loss_cls: 3.0862 loss_bbox: 1.6756 2024/10/26 21:00:57 - mmengine - INFO - Epoch(train) [31][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:48:40 time: 0.2490 data_time: 0.0275 memory: 2049 grad_norm: 3.1442 loss: 4.6540 loss_cls: 3.0634 loss_bbox: 1.5905 2024/10/26 21:01:10 - mmengine - INFO - Epoch(train) [31][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:48:33 time: 0.2629 data_time: 0.0279 memory: 2049 grad_norm: 2.9599 loss: 4.8046 loss_cls: 3.0508 loss_bbox: 1.7538 2024/10/26 21:01:23 - mmengine - INFO - Epoch(train) [31][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:48:25 time: 0.2630 data_time: 0.0272 memory: 2049 grad_norm: 3.1089 loss: 4.5859 loss_cls: 3.0060 loss_bbox: 1.5799 2024/10/26 21:01:36 - mmengine - INFO - Epoch(train) [31][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:48:14 time: 0.2526 data_time: 0.0263 memory: 2049 grad_norm: 3.1276 loss: 4.6748 loss_cls: 3.0400 loss_bbox: 1.6348 2024/10/26 21:01:49 - mmengine - INFO - Epoch(train) [31][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:48:05 time: 0.2603 data_time: 0.0258 memory: 2049 grad_norm: 2.9628 loss: 4.6708 loss_cls: 3.0601 loss_bbox: 1.6106 2024/10/26 21:02:02 - mmengine - INFO - Epoch(train) [31][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:47:54 time: 0.2516 data_time: 0.0258 memory: 2049 grad_norm: 3.0028 loss: 4.7125 loss_cls: 3.0570 loss_bbox: 1.6555 2024/10/26 21:02:15 - mmengine - INFO - Epoch(train) [31][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:47:48 time: 0.2688 data_time: 0.0280 memory: 2049 grad_norm: 3.3114 loss: 4.6980 loss_cls: 3.0709 loss_bbox: 1.6270 2024/10/26 21:02:28 - mmengine - INFO - Epoch(train) [31][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:47:38 time: 0.2545 data_time: 0.0259 memory: 2049 grad_norm: 3.2170 loss: 4.5357 loss_cls: 2.9721 loss_bbox: 1.5637 2024/10/26 21:02:41 - mmengine - INFO - Epoch(train) [31][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:47:29 time: 0.2606 data_time: 0.0325 memory: 2049 grad_norm: 3.4524 loss: 4.7904 loss_cls: 3.0746 loss_bbox: 1.7158 2024/10/26 21:02:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:02:42 - mmengine - INFO - Saving checkpoint at 31 epochs 2024/10/26 21:02:57 - mmengine - INFO - Epoch(train) [32][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:47:21 time: 0.2489 data_time: 0.0383 memory: 2049 grad_norm: 2.9279 loss: 4.6328 loss_cls: 3.0066 loss_bbox: 1.6262 2024/10/26 21:03:09 - mmengine - INFO - Epoch(train) [32][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:47:01 time: 0.2277 data_time: 0.0287 memory: 2049 grad_norm: 3.2612 loss: 4.7226 loss_cls: 3.0638 loss_bbox: 1.6588 2024/10/26 21:03:21 - mmengine - INFO - Epoch(train) [32][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:46:46 time: 0.2412 data_time: 0.0269 memory: 2049 grad_norm: 3.2822 loss: 4.5425 loss_cls: 2.9851 loss_bbox: 1.5574 2024/10/26 21:03:33 - mmengine - INFO - Epoch(train) [32][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:46:31 time: 0.2411 data_time: 0.0269 memory: 2049 grad_norm: 3.0375 loss: 4.5735 loss_cls: 3.0046 loss_bbox: 1.5689 2024/10/26 21:03:45 - mmengine - INFO - Epoch(train) [32][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:46:15 time: 0.2392 data_time: 0.0323 memory: 2049 grad_norm: 3.1642 loss: 4.6252 loss_cls: 3.0020 loss_bbox: 1.6232 2024/10/26 21:03:57 - mmengine - INFO - Epoch(train) [32][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:46:02 time: 0.2462 data_time: 0.0282 memory: 2049 grad_norm: 3.0449 loss: 4.7462 loss_cls: 3.0983 loss_bbox: 1.6479 2024/10/26 21:04:03 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:04:09 - mmengine - INFO - Epoch(train) [32][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:45:46 time: 0.2385 data_time: 0.0385 memory: 2049 grad_norm: 3.0765 loss: 4.6395 loss_cls: 3.0091 loss_bbox: 1.6304 2024/10/26 21:04:21 - mmengine - INFO - Epoch(train) [32][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:45:29 time: 0.2341 data_time: 0.0306 memory: 2049 grad_norm: 3.0698 loss: 4.8053 loss_cls: 3.0798 loss_bbox: 1.7254 2024/10/26 21:04:34 - mmengine - INFO - Epoch(train) [32][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:45:19 time: 0.2562 data_time: 0.0330 memory: 2049 grad_norm: 3.2367 loss: 4.5666 loss_cls: 2.9935 loss_bbox: 1.5731 2024/10/26 21:04:45 - mmengine - INFO - Epoch(train) [32][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:45:02 time: 0.2367 data_time: 0.0381 memory: 2049 grad_norm: 3.1710 loss: 4.6415 loss_cls: 3.0363 loss_bbox: 1.6052 2024/10/26 21:04:58 - mmengine - INFO - Epoch(train) [32][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:44:54 time: 0.2624 data_time: 0.0261 memory: 2049 grad_norm: 3.0462 loss: 4.6417 loss_cls: 3.0392 loss_bbox: 1.6025 2024/10/26 21:05:10 - mmengine - INFO - Epoch(train) [32][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:44:39 time: 0.2400 data_time: 0.0282 memory: 2049 grad_norm: 3.3383 loss: 4.6931 loss_cls: 3.0291 loss_bbox: 1.6640 2024/10/26 21:05:23 - mmengine - INFO - Epoch(train) [32][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:44:24 time: 0.2428 data_time: 0.0293 memory: 2049 grad_norm: 2.9776 loss: 4.7687 loss_cls: 3.0824 loss_bbox: 1.6862 2024/10/26 21:05:35 - mmengine - INFO - Epoch(train) [32][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:44:15 time: 0.2569 data_time: 0.0268 memory: 2049 grad_norm: 3.2915 loss: 4.7343 loss_cls: 3.0680 loss_bbox: 1.6662 2024/10/26 21:05:48 - mmengine - INFO - Epoch(train) [32][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:44:00 time: 0.2432 data_time: 0.0255 memory: 2049 grad_norm: 3.0736 loss: 4.6543 loss_cls: 3.0159 loss_bbox: 1.6383 2024/10/26 21:06:01 - mmengine - INFO - Epoch(train) [32][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:43:53 time: 0.2626 data_time: 0.0266 memory: 2049 grad_norm: 3.1845 loss: 4.6083 loss_cls: 2.9761 loss_bbox: 1.6322 2024/10/26 21:06:13 - mmengine - INFO - Epoch(train) [32][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:43:41 time: 0.2520 data_time: 0.0269 memory: 2049 grad_norm: 2.9876 loss: 4.5680 loss_cls: 3.0075 loss_bbox: 1.5605 2024/10/26 21:06:26 - mmengine - INFO - Epoch(train) [32][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:43:32 time: 0.2599 data_time: 0.0281 memory: 2049 grad_norm: 3.3245 loss: 4.7084 loss_cls: 3.0316 loss_bbox: 1.6768 2024/10/26 21:06:39 - mmengine - INFO - Epoch(train) [32][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:43:20 time: 0.2494 data_time: 0.0269 memory: 2049 grad_norm: 3.0568 loss: 4.6865 loss_cls: 3.0684 loss_bbox: 1.6181 2024/10/26 21:06:51 - mmengine - INFO - Epoch(train) [32][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:43:08 time: 0.2503 data_time: 0.0258 memory: 2049 grad_norm: 3.4059 loss: 4.6956 loss_cls: 3.0635 loss_bbox: 1.6322 2024/10/26 21:07:06 - mmengine - INFO - Epoch(train) [32][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:43:07 time: 0.2828 data_time: 0.0333 memory: 2049 grad_norm: 2.9779 loss: 4.5996 loss_cls: 2.9892 loss_bbox: 1.6104 2024/10/26 21:07:18 - mmengine - INFO - Epoch(train) [32][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:42:56 time: 0.2529 data_time: 0.0331 memory: 2049 grad_norm: 2.9048 loss: 4.6413 loss_cls: 3.0317 loss_bbox: 1.6096 2024/10/26 21:07:31 - mmengine - INFO - Epoch(train) [32][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:42:47 time: 0.2607 data_time: 0.0299 memory: 2049 grad_norm: 3.2236 loss: 4.6940 loss_cls: 3.0574 loss_bbox: 1.6366 2024/10/26 21:07:46 - mmengine - INFO - Epoch(train) [32][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:42:52 time: 0.2991 data_time: 0.0275 memory: 2049 grad_norm: 3.4220 loss: 4.5715 loss_cls: 2.9927 loss_bbox: 1.5788 2024/10/26 21:08:01 - mmengine - INFO - Epoch(train) [32][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:42:52 time: 0.2878 data_time: 0.0434 memory: 2049 grad_norm: 3.0421 loss: 4.5871 loss_cls: 2.9760 loss_bbox: 1.6111 2024/10/26 21:08:14 - mmengine - INFO - Epoch(train) [32][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:42:49 time: 0.2775 data_time: 0.0266 memory: 2049 grad_norm: 2.9836 loss: 4.7285 loss_cls: 3.0658 loss_bbox: 1.6627 2024/10/26 21:08:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:08:28 - mmengine - INFO - Epoch(train) [32][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:42:41 time: 0.2616 data_time: 0.0350 memory: 2049 grad_norm: 2.9081 loss: 4.6395 loss_cls: 3.0178 loss_bbox: 1.6217 2024/10/26 21:08:42 - mmengine - INFO - Epoch(train) [32][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:42:42 time: 0.2928 data_time: 0.0315 memory: 2049 grad_norm: 3.2808 loss: 4.7772 loss_cls: 3.0333 loss_bbox: 1.7439 2024/10/26 21:08:55 - mmengine - INFO - Epoch(train) [32][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:42:30 time: 0.2496 data_time: 0.0263 memory: 2049 grad_norm: 3.1819 loss: 4.6866 loss_cls: 3.0517 loss_bbox: 1.6348 2024/10/26 21:09:07 - mmengine - INFO - Epoch(train) [32][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:42:16 time: 0.2447 data_time: 0.0284 memory: 2049 grad_norm: 3.0699 loss: 4.6726 loss_cls: 3.0259 loss_bbox: 1.6467 2024/10/26 21:09:21 - mmengine - INFO - Epoch(train) [32][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:42:11 time: 0.2720 data_time: 0.0266 memory: 2049 grad_norm: 3.0770 loss: 4.7071 loss_cls: 3.0680 loss_bbox: 1.6392 2024/10/26 21:09:33 - mmengine - INFO - Epoch(train) [32][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:42:01 time: 0.2546 data_time: 0.0345 memory: 2049 grad_norm: 3.1679 loss: 4.6762 loss_cls: 3.0406 loss_bbox: 1.6356 2024/10/26 21:09:46 - mmengine - INFO - Epoch(train) [32][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:41:52 time: 0.2594 data_time: 0.0261 memory: 2049 grad_norm: 3.0245 loss: 4.7122 loss_cls: 3.0244 loss_bbox: 1.6878 2024/10/26 21:09:59 - mmengine - INFO - Epoch(train) [32][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:41:41 time: 0.2537 data_time: 0.0259 memory: 2049 grad_norm: 3.1743 loss: 4.5901 loss_cls: 2.9870 loss_bbox: 1.6031 2024/10/26 21:10:11 - mmengine - INFO - Epoch(train) [32][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:41:27 time: 0.2460 data_time: 0.0266 memory: 2049 grad_norm: 3.1668 loss: 4.7068 loss_cls: 3.0520 loss_bbox: 1.6548 2024/10/26 21:10:25 - mmengine - INFO - Epoch(train) [32][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:41:25 time: 0.2816 data_time: 0.0327 memory: 2049 grad_norm: 3.1199 loss: 4.6536 loss_cls: 3.0452 loss_bbox: 1.6084 2024/10/26 21:10:38 - mmengine - INFO - Epoch(train) [32][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:41:12 time: 0.2481 data_time: 0.0361 memory: 2049 grad_norm: 3.3161 loss: 4.6176 loss_cls: 2.9837 loss_bbox: 1.6339 2024/10/26 21:10:51 - mmengine - INFO - Epoch(train) [32][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:41:08 time: 0.2744 data_time: 0.0273 memory: 2049 grad_norm: 3.0349 loss: 4.5250 loss_cls: 2.9575 loss_bbox: 1.5675 2024/10/26 21:11:04 - mmengine - INFO - Epoch(train) [32][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:40:57 time: 0.2533 data_time: 0.0261 memory: 2049 grad_norm: 3.0251 loss: 4.7508 loss_cls: 3.0654 loss_bbox: 1.6854 2024/10/26 21:11:17 - mmengine - INFO - Epoch(train) [32][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:40:44 time: 0.2482 data_time: 0.0377 memory: 2049 grad_norm: 3.3294 loss: 4.7466 loss_cls: 3.0641 loss_bbox: 1.6825 2024/10/26 21:11:31 - mmengine - INFO - Epoch(train) [32][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:40:42 time: 0.2808 data_time: 0.0263 memory: 2049 grad_norm: 3.3395 loss: 4.7718 loss_cls: 3.0793 loss_bbox: 1.6925 2024/10/26 21:11:43 - mmengine - INFO - Epoch(train) [32][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:40:30 time: 0.2500 data_time: 0.0278 memory: 2049 grad_norm: 3.2922 loss: 4.6576 loss_cls: 3.0350 loss_bbox: 1.6226 2024/10/26 21:11:57 - mmengine - INFO - Epoch(train) [32][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:40:27 time: 0.2813 data_time: 0.0326 memory: 2049 grad_norm: 2.9416 loss: 4.6470 loss_cls: 2.9855 loss_bbox: 1.6615 2024/10/26 21:12:10 - mmengine - INFO - Epoch(train) [32][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:40:16 time: 0.2534 data_time: 0.0265 memory: 2049 grad_norm: 3.2233 loss: 4.6857 loss_cls: 3.0644 loss_bbox: 1.6214 2024/10/26 21:12:22 - mmengine - INFO - Epoch(train) [32][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:40:02 time: 0.2450 data_time: 0.0317 memory: 2049 grad_norm: 3.2019 loss: 4.6153 loss_cls: 3.0101 loss_bbox: 1.6053 2024/10/26 21:12:36 - mmengine - INFO - Epoch(train) [32][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:40:00 time: 0.2792 data_time: 0.0194 memory: 2049 grad_norm: 3.2366 loss: 4.7284 loss_cls: 3.1182 loss_bbox: 1.6102 2024/10/26 21:12:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:12:48 - mmengine - INFO - Epoch(train) [32][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:39:44 time: 0.2398 data_time: 0.0255 memory: 2049 grad_norm: 3.3219 loss: 4.6323 loss_cls: 2.9943 loss_bbox: 1.6380 2024/10/26 21:13:01 - mmengine - INFO - Epoch(train) [32][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:39:36 time: 0.2641 data_time: 0.0211 memory: 2049 grad_norm: 3.1853 loss: 4.6006 loss_cls: 2.9660 loss_bbox: 1.6345 2024/10/26 21:13:14 - mmengine - INFO - Epoch(train) [32][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:39:26 time: 0.2556 data_time: 0.0206 memory: 2049 grad_norm: 3.1148 loss: 4.6175 loss_cls: 3.0128 loss_bbox: 1.6047 2024/10/26 21:13:26 - mmengine - INFO - Epoch(train) [32][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:39:09 time: 0.2349 data_time: 0.0190 memory: 2049 grad_norm: 2.8484 loss: 4.7050 loss_cls: 3.0683 loss_bbox: 1.6366 2024/10/26 21:13:40 - mmengine - INFO - Epoch(train) [32][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:39:04 time: 0.2747 data_time: 0.0190 memory: 2049 grad_norm: 3.1336 loss: 4.7263 loss_cls: 3.0703 loss_bbox: 1.6560 2024/10/26 21:13:51 - mmengine - INFO - Epoch(train) [32][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:38:48 time: 0.2370 data_time: 0.0197 memory: 2049 grad_norm: 3.3806 loss: 4.6625 loss_cls: 3.0427 loss_bbox: 1.6198 2024/10/26 21:14:05 - mmengine - INFO - Epoch(train) [32][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:38:39 time: 0.2619 data_time: 0.0214 memory: 2049 grad_norm: 2.9904 loss: 4.5740 loss_cls: 2.9667 loss_bbox: 1.6073 2024/10/26 21:14:17 - mmengine - INFO - Epoch(train) [32][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:38:30 time: 0.2582 data_time: 0.0284 memory: 2049 grad_norm: 3.2096 loss: 4.6784 loss_cls: 3.0448 loss_bbox: 1.6336 2024/10/26 21:14:30 - mmengine - INFO - Epoch(train) [32][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:38:17 time: 0.2481 data_time: 0.0223 memory: 2049 grad_norm: 3.1413 loss: 4.7214 loss_cls: 3.0551 loss_bbox: 1.6663 2024/10/26 21:14:44 - mmengine - INFO - Epoch(train) [32][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:38:13 time: 0.2769 data_time: 0.0209 memory: 2049 grad_norm: 3.2273 loss: 4.7171 loss_cls: 3.0685 loss_bbox: 1.6486 2024/10/26 21:14:56 - mmengine - INFO - Epoch(train) [32][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:37:58 time: 0.2415 data_time: 0.0211 memory: 2049 grad_norm: 2.9989 loss: 4.6413 loss_cls: 3.0364 loss_bbox: 1.6048 2024/10/26 21:15:09 - mmengine - INFO - Epoch(train) [32][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:37:52 time: 0.2682 data_time: 0.0210 memory: 2049 grad_norm: 3.1825 loss: 4.7031 loss_cls: 3.0408 loss_bbox: 1.6623 2024/10/26 21:15:22 - mmengine - INFO - Epoch(train) [32][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:37:42 time: 0.2577 data_time: 0.0301 memory: 2049 grad_norm: 2.7842 loss: 4.5993 loss_cls: 2.9995 loss_bbox: 1.5998 2024/10/26 21:15:35 - mmengine - INFO - Epoch(train) [32][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:37:30 time: 0.2517 data_time: 0.0265 memory: 2049 grad_norm: 3.2591 loss: 4.6417 loss_cls: 3.0076 loss_bbox: 1.6340 2024/10/26 21:15:49 - mmengine - INFO - Epoch(train) [32][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:37:26 time: 0.2776 data_time: 0.0213 memory: 2049 grad_norm: 3.2348 loss: 4.5976 loss_cls: 3.0214 loss_bbox: 1.5762 2024/10/26 21:15:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:15:49 - mmengine - INFO - Saving checkpoint at 32 epochs 2024/10/26 21:16:04 - mmengine - INFO - Epoch(train) [33][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:37:07 time: 0.2339 data_time: 0.0340 memory: 2049 grad_norm: 2.9123 loss: 4.7064 loss_cls: 3.0509 loss_bbox: 1.6555 2024/10/26 21:16:18 - mmengine - INFO - Epoch(train) [33][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:37:01 time: 0.2709 data_time: 0.0521 memory: 2049 grad_norm: 3.1634 loss: 4.7323 loss_cls: 3.0658 loss_bbox: 1.6666 2024/10/26 21:16:29 - mmengine - INFO - Epoch(train) [33][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:36:43 time: 0.2313 data_time: 0.0222 memory: 2049 grad_norm: 3.1715 loss: 4.6788 loss_cls: 3.0403 loss_bbox: 1.6386 2024/10/26 21:16:41 - mmengine - INFO - Epoch(train) [33][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:36:25 time: 0.2308 data_time: 0.0228 memory: 2049 grad_norm: 2.9938 loss: 4.6425 loss_cls: 3.0108 loss_bbox: 1.6317 2024/10/26 21:16:53 - mmengine - INFO - Epoch(train) [33][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:36:13 time: 0.2520 data_time: 0.0249 memory: 2049 grad_norm: 3.2643 loss: 4.5922 loss_cls: 3.0101 loss_bbox: 1.5821 2024/10/26 21:16:58 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:17:05 - mmengine - INFO - Epoch(train) [33][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:35:53 time: 0.2249 data_time: 0.0270 memory: 2049 grad_norm: 3.1384 loss: 4.6414 loss_cls: 2.9914 loss_bbox: 1.6500 2024/10/26 21:17:17 - mmengine - INFO - Epoch(train) [33][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:35:42 time: 0.2542 data_time: 0.0327 memory: 2049 grad_norm: 3.1441 loss: 4.5542 loss_cls: 2.9649 loss_bbox: 1.5893 2024/10/26 21:17:30 - mmengine - INFO - Epoch(train) [33][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:35:28 time: 0.2466 data_time: 0.0342 memory: 2049 grad_norm: 3.1395 loss: 4.6038 loss_cls: 3.0319 loss_bbox: 1.5719 2024/10/26 21:17:42 - mmengine - INFO - Epoch(train) [33][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:35:17 time: 0.2518 data_time: 0.0254 memory: 2049 grad_norm: 3.2800 loss: 4.7135 loss_cls: 3.0869 loss_bbox: 1.6266 2024/10/26 21:17:54 - mmengine - INFO - Epoch(train) [33][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:35:03 time: 0.2451 data_time: 0.0264 memory: 2049 grad_norm: 3.2273 loss: 4.6117 loss_cls: 3.0203 loss_bbox: 1.5914 2024/10/26 21:18:06 - mmengine - INFO - Epoch(train) [33][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:34:45 time: 0.2305 data_time: 0.0271 memory: 2049 grad_norm: 3.4227 loss: 4.7411 loss_cls: 3.0792 loss_bbox: 1.6619 2024/10/26 21:18:19 - mmengine - INFO - Epoch(train) [33][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:34:33 time: 0.2529 data_time: 0.0318 memory: 2049 grad_norm: 3.1295 loss: 4.6782 loss_cls: 3.0164 loss_bbox: 1.6618 2024/10/26 21:18:31 - mmengine - INFO - Epoch(train) [33][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:34:21 time: 0.2495 data_time: 0.0289 memory: 2049 grad_norm: 3.1238 loss: 4.6650 loss_cls: 3.0268 loss_bbox: 1.6382 2024/10/26 21:18:44 - mmengine - INFO - Epoch(train) [33][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:34:09 time: 0.2527 data_time: 0.0274 memory: 2049 grad_norm: 3.1257 loss: 4.6672 loss_cls: 3.0200 loss_bbox: 1.6473 2024/10/26 21:18:56 - mmengine - INFO - Epoch(train) [33][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:33:55 time: 0.2423 data_time: 0.0281 memory: 2049 grad_norm: 3.0078 loss: 4.6444 loss_cls: 3.0048 loss_bbox: 1.6397 2024/10/26 21:19:08 - mmengine - INFO - Epoch(train) [33][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:33:38 time: 0.2362 data_time: 0.0268 memory: 2049 grad_norm: 3.0237 loss: 4.6714 loss_cls: 2.9943 loss_bbox: 1.6771 2024/10/26 21:19:20 - mmengine - INFO - Epoch(train) [33][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:33:27 time: 0.2542 data_time: 0.0283 memory: 2049 grad_norm: 3.2044 loss: 4.6690 loss_cls: 3.0211 loss_bbox: 1.6478 2024/10/26 21:19:33 - mmengine - INFO - Epoch(train) [33][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:33:16 time: 0.2528 data_time: 0.0332 memory: 2049 grad_norm: 3.0958 loss: 4.6638 loss_cls: 3.0782 loss_bbox: 1.5856 2024/10/26 21:19:46 - mmengine - INFO - Epoch(train) [33][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:33:07 time: 0.2604 data_time: 0.0300 memory: 2049 grad_norm: 3.0339 loss: 4.6646 loss_cls: 3.0081 loss_bbox: 1.6566 2024/10/26 21:19:59 - mmengine - INFO - Epoch(train) [33][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:32:57 time: 0.2570 data_time: 0.0341 memory: 2049 grad_norm: 3.0593 loss: 4.7005 loss_cls: 3.0660 loss_bbox: 1.6344 2024/10/26 21:20:11 - mmengine - INFO - Epoch(train) [33][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:32:43 time: 0.2463 data_time: 0.0258 memory: 2049 grad_norm: 3.1891 loss: 4.6408 loss_cls: 3.0488 loss_bbox: 1.5920 2024/10/26 21:20:24 - mmengine - INFO - Epoch(train) [33][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:32:31 time: 0.2500 data_time: 0.0233 memory: 2049 grad_norm: 3.1502 loss: 4.7031 loss_cls: 3.0281 loss_bbox: 1.6750 2024/10/26 21:20:36 - mmengine - INFO - Epoch(train) [33][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:32:17 time: 0.2442 data_time: 0.0216 memory: 2049 grad_norm: 3.0954 loss: 4.5367 loss_cls: 2.9515 loss_bbox: 1.5852 2024/10/26 21:20:49 - mmengine - INFO - Epoch(train) [33][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:32:09 time: 0.2653 data_time: 0.0252 memory: 2049 grad_norm: 3.2808 loss: 4.5788 loss_cls: 2.9854 loss_bbox: 1.5935 2024/10/26 21:21:02 - mmengine - INFO - Epoch(train) [33][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:32:00 time: 0.2610 data_time: 0.0383 memory: 2049 grad_norm: 3.0178 loss: 4.6334 loss_cls: 3.0127 loss_bbox: 1.6207 2024/10/26 21:21:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:21:18 - mmengine - INFO - Epoch(train) [33][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:32:07 time: 0.3142 data_time: 0.0750 memory: 2049 grad_norm: 3.1777 loss: 4.6383 loss_cls: 3.0462 loss_bbox: 1.5921 2024/10/26 21:21:30 - mmengine - INFO - Epoch(train) [33][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:31:51 time: 0.2361 data_time: 0.0212 memory: 2049 grad_norm: 3.0343 loss: 4.6580 loss_cls: 3.0133 loss_bbox: 1.6446 2024/10/26 21:21:42 - mmengine - INFO - Epoch(train) [33][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:31:35 time: 0.2395 data_time: 0.0263 memory: 2049 grad_norm: 3.0127 loss: 4.5822 loss_cls: 3.0043 loss_bbox: 1.5779 2024/10/26 21:21:55 - mmengine - INFO - Epoch(train) [33][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:31:26 time: 0.2583 data_time: 0.0215 memory: 2049 grad_norm: 3.1890 loss: 4.7560 loss_cls: 3.0955 loss_bbox: 1.6605 2024/10/26 21:22:08 - mmengine - INFO - Epoch(train) [33][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:31:17 time: 0.2634 data_time: 0.0207 memory: 2049 grad_norm: 3.0063 loss: 4.7375 loss_cls: 3.0829 loss_bbox: 1.6546 2024/10/26 21:22:22 - mmengine - INFO - Epoch(train) [33][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:31:12 time: 0.2734 data_time: 0.0223 memory: 2049 grad_norm: 3.2428 loss: 4.6719 loss_cls: 3.0371 loss_bbox: 1.6348 2024/10/26 21:22:35 - mmengine - INFO - Epoch(train) [33][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:31:04 time: 0.2643 data_time: 0.0266 memory: 2049 grad_norm: 3.0313 loss: 4.5731 loss_cls: 2.9466 loss_bbox: 1.6265 2024/10/26 21:22:48 - mmengine - INFO - Epoch(train) [33][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:30:53 time: 0.2531 data_time: 0.0198 memory: 2049 grad_norm: 3.1186 loss: 4.7197 loss_cls: 3.0839 loss_bbox: 1.6358 2024/10/26 21:23:02 - mmengine - INFO - Epoch(train) [33][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:30:50 time: 0.2814 data_time: 0.0209 memory: 2049 grad_norm: 3.2047 loss: 4.7197 loss_cls: 3.0613 loss_bbox: 1.6584 2024/10/26 21:23:19 - mmengine - INFO - Epoch(train) [33][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:31:04 time: 0.3398 data_time: 0.0985 memory: 2049 grad_norm: 2.9899 loss: 4.6823 loss_cls: 3.0557 loss_bbox: 1.6266 2024/10/26 21:23:32 - mmengine - INFO - Epoch(train) [33][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:30:59 time: 0.2728 data_time: 0.0195 memory: 2049 grad_norm: 3.1828 loss: 4.6222 loss_cls: 3.0113 loss_bbox: 1.6109 2024/10/26 21:23:46 - mmengine - INFO - Epoch(train) [33][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:30:51 time: 0.2662 data_time: 0.0266 memory: 2049 grad_norm: 2.9179 loss: 4.7153 loss_cls: 3.0487 loss_bbox: 1.6666 2024/10/26 21:23:58 - mmengine - INFO - Epoch(train) [33][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:30:41 time: 0.2588 data_time: 0.0188 memory: 2049 grad_norm: 2.9402 loss: 4.7085 loss_cls: 3.0899 loss_bbox: 1.6186 2024/10/26 21:24:12 - mmengine - INFO - Epoch(train) [33][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:30:38 time: 0.2804 data_time: 0.0189 memory: 2049 grad_norm: 3.1634 loss: 4.8316 loss_cls: 3.1453 loss_bbox: 1.6863 2024/10/26 21:24:26 - mmengine - INFO - Epoch(train) [33][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:30:30 time: 0.2661 data_time: 0.0186 memory: 2049 grad_norm: 3.1943 loss: 4.6391 loss_cls: 3.0212 loss_bbox: 1.6180 2024/10/26 21:24:39 - mmengine - INFO - Epoch(train) [33][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:30:24 time: 0.2702 data_time: 0.0178 memory: 2049 grad_norm: 2.9048 loss: 4.6623 loss_cls: 3.0080 loss_bbox: 1.6543 2024/10/26 21:24:53 - mmengine - INFO - Epoch(train) [33][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:30:17 time: 0.2688 data_time: 0.0182 memory: 2049 grad_norm: 2.9945 loss: 4.7451 loss_cls: 3.0735 loss_bbox: 1.6716 2024/10/26 21:25:06 - mmengine - INFO - Epoch(train) [33][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:30:07 time: 0.2568 data_time: 0.0222 memory: 2049 grad_norm: 2.9386 loss: 4.6856 loss_cls: 3.0831 loss_bbox: 1.6025 2024/10/26 21:25:20 - mmengine - INFO - Epoch(train) [33][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:30:03 time: 0.2808 data_time: 0.0194 memory: 2049 grad_norm: 3.3594 loss: 4.5957 loss_cls: 2.9695 loss_bbox: 1.6262 2024/10/26 21:25:33 - mmengine - INFO - Epoch(train) [33][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:29:55 time: 0.2654 data_time: 0.0232 memory: 2049 grad_norm: 3.2088 loss: 4.6095 loss_cls: 2.9649 loss_bbox: 1.6446 2024/10/26 21:25:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:25:46 - mmengine - INFO - Epoch(train) [33][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:29:47 time: 0.2647 data_time: 0.0182 memory: 2049 grad_norm: 3.0445 loss: 4.7200 loss_cls: 3.0452 loss_bbox: 1.6747 2024/10/26 21:25:59 - mmengine - INFO - Epoch(train) [33][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:29:39 time: 0.2642 data_time: 0.0175 memory: 2049 grad_norm: 3.0782 loss: 4.7401 loss_cls: 3.0583 loss_bbox: 1.6819 2024/10/26 21:26:12 - mmengine - INFO - Epoch(train) [33][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:29:29 time: 0.2563 data_time: 0.0191 memory: 2049 grad_norm: 3.2281 loss: 4.6037 loss_cls: 3.0219 loss_bbox: 1.5818 2024/10/26 21:26:26 - mmengine - INFO - Epoch(train) [33][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:29:23 time: 0.2742 data_time: 0.0210 memory: 2049 grad_norm: 3.2113 loss: 4.6265 loss_cls: 3.0171 loss_bbox: 1.6093 2024/10/26 21:26:39 - mmengine - INFO - Epoch(train) [33][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:29:13 time: 0.2585 data_time: 0.0204 memory: 2049 grad_norm: 3.1755 loss: 4.5261 loss_cls: 2.9577 loss_bbox: 1.5684 2024/10/26 21:26:52 - mmengine - INFO - Epoch(train) [33][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:29:03 time: 0.2593 data_time: 0.0208 memory: 2049 grad_norm: 3.3345 loss: 4.6827 loss_cls: 3.0623 loss_bbox: 1.6204 2024/10/26 21:27:05 - mmengine - INFO - Epoch(train) [33][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:28:58 time: 0.2731 data_time: 0.0248 memory: 2049 grad_norm: 2.9980 loss: 4.6972 loss_cls: 3.0440 loss_bbox: 1.6532 2024/10/26 21:27:18 - mmengine - INFO - Epoch(train) [33][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:28:46 time: 0.2529 data_time: 0.0198 memory: 2049 grad_norm: 3.3018 loss: 4.7451 loss_cls: 3.1169 loss_bbox: 1.6283 2024/10/26 21:27:31 - mmengine - INFO - Epoch(train) [33][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:28:35 time: 0.2536 data_time: 0.0275 memory: 2049 grad_norm: 3.0047 loss: 4.6880 loss_cls: 3.0431 loss_bbox: 1.6448 2024/10/26 21:27:43 - mmengine - INFO - Epoch(train) [33][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:28:22 time: 0.2490 data_time: 0.0222 memory: 2049 grad_norm: 3.1195 loss: 4.7104 loss_cls: 3.0090 loss_bbox: 1.7013 2024/10/26 21:27:56 - mmengine - INFO - Epoch(train) [33][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:28:08 time: 0.2453 data_time: 0.0198 memory: 2049 grad_norm: 3.2918 loss: 4.7074 loss_cls: 3.0613 loss_bbox: 1.6460 2024/10/26 21:28:08 - mmengine - INFO - Epoch(train) [33][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:27:57 time: 0.2545 data_time: 0.0279 memory: 2049 grad_norm: 2.9568 loss: 4.6276 loss_cls: 3.0281 loss_bbox: 1.5994 2024/10/26 21:28:21 - mmengine - INFO - Epoch(train) [33][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:27:45 time: 0.2530 data_time: 0.0361 memory: 2049 grad_norm: 3.1845 loss: 4.6430 loss_cls: 3.0155 loss_bbox: 1.6274 2024/10/26 21:28:33 - mmengine - INFO - Epoch(train) [33][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:27:31 time: 0.2447 data_time: 0.0222 memory: 2049 grad_norm: 3.0495 loss: 4.6749 loss_cls: 3.0413 loss_bbox: 1.6336 2024/10/26 21:28:46 - mmengine - INFO - Epoch(train) [33][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:27:18 time: 0.2468 data_time: 0.0233 memory: 2049 grad_norm: 3.5262 loss: 4.5758 loss_cls: 3.0090 loss_bbox: 1.5668 2024/10/26 21:28:58 - mmengine - INFO - Epoch(train) [33][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:27:06 time: 0.2512 data_time: 0.0318 memory: 2049 grad_norm: 3.1172 loss: 4.5438 loss_cls: 3.0264 loss_bbox: 1.5174 2024/10/26 21:28:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:28:59 - mmengine - INFO - Saving checkpoint at 33 epochs 2024/10/26 21:29:19 - mmengine - INFO - Epoch(train) [34][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:26:57 time: 0.2660 data_time: 0.0411 memory: 2049 grad_norm: 3.1903 loss: 4.7049 loss_cls: 3.0435 loss_bbox: 1.6614 2024/10/26 21:29:31 - mmengine - INFO - Epoch(train) [34][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:26:41 time: 0.2398 data_time: 0.0232 memory: 2049 grad_norm: 2.9656 loss: 4.5758 loss_cls: 2.9745 loss_bbox: 1.6013 2024/10/26 21:29:43 - mmengine - INFO - Epoch(train) [34][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:26:29 time: 0.2509 data_time: 0.0236 memory: 2049 grad_norm: 3.0822 loss: 4.6944 loss_cls: 3.0296 loss_bbox: 1.6648 2024/10/26 21:29:55 - mmengine - INFO - Epoch(train) [34][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:26:13 time: 0.2358 data_time: 0.0237 memory: 2049 grad_norm: 2.9101 loss: 4.6256 loss_cls: 3.0110 loss_bbox: 1.6146 2024/10/26 21:29:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:30:07 - mmengine - INFO - Epoch(train) [34][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:25:57 time: 0.2382 data_time: 0.0238 memory: 2049 grad_norm: 3.2037 loss: 4.6996 loss_cls: 3.0426 loss_bbox: 1.6570 2024/10/26 21:30:20 - mmengine - INFO - Epoch(train) [34][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:25:46 time: 0.2570 data_time: 0.0242 memory: 2049 grad_norm: 3.1562 loss: 4.7663 loss_cls: 3.0863 loss_bbox: 1.6800 2024/10/26 21:30:32 - mmengine - INFO - Epoch(train) [34][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:25:32 time: 0.2435 data_time: 0.0256 memory: 2049 grad_norm: 3.0781 loss: 4.6619 loss_cls: 3.0328 loss_bbox: 1.6291 2024/10/26 21:30:44 - mmengine - INFO - Epoch(train) [34][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:25:19 time: 0.2483 data_time: 0.0234 memory: 2049 grad_norm: 3.2436 loss: 4.5713 loss_cls: 2.9938 loss_bbox: 1.5775 2024/10/26 21:30:56 - mmengine - INFO - Epoch(train) [34][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:25:01 time: 0.2316 data_time: 0.0230 memory: 2049 grad_norm: 3.0904 loss: 4.6051 loss_cls: 2.9759 loss_bbox: 1.6291 2024/10/26 21:31:08 - mmengine - INFO - Epoch(train) [34][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:24:46 time: 0.2405 data_time: 0.0250 memory: 2049 grad_norm: 3.1969 loss: 4.6852 loss_cls: 3.0517 loss_bbox: 1.6335 2024/10/26 21:31:20 - mmengine - INFO - Epoch(train) [34][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:24:33 time: 0.2485 data_time: 0.0287 memory: 2049 grad_norm: 3.0401 loss: 4.6400 loss_cls: 3.0215 loss_bbox: 1.6185 2024/10/26 21:31:32 - mmengine - INFO - Epoch(train) [34][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:24:17 time: 0.2367 data_time: 0.0239 memory: 2049 grad_norm: 2.9443 loss: 4.6541 loss_cls: 3.0117 loss_bbox: 1.6424 2024/10/26 21:31:45 - mmengine - INFO - Epoch(train) [34][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:24:05 time: 0.2521 data_time: 0.0250 memory: 2049 grad_norm: 2.9835 loss: 4.6982 loss_cls: 3.0873 loss_bbox: 1.6109 2024/10/26 21:31:57 - mmengine - INFO - Epoch(train) [34][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:23:48 time: 0.2353 data_time: 0.0230 memory: 2049 grad_norm: 3.3855 loss: 4.5973 loss_cls: 3.0088 loss_bbox: 1.5885 2024/10/26 21:32:09 - mmengine - INFO - Epoch(train) [34][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:23:35 time: 0.2474 data_time: 0.0288 memory: 2049 grad_norm: 3.0666 loss: 4.6601 loss_cls: 3.0641 loss_bbox: 1.5959 2024/10/26 21:32:22 - mmengine - INFO - Epoch(train) [34][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:23:24 time: 0.2545 data_time: 0.0225 memory: 2049 grad_norm: 3.1075 loss: 4.5779 loss_cls: 2.9974 loss_bbox: 1.5804 2024/10/26 21:32:34 - mmengine - INFO - Epoch(train) [34][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:23:09 time: 0.2410 data_time: 0.0205 memory: 2049 grad_norm: 3.3729 loss: 4.5933 loss_cls: 3.0024 loss_bbox: 1.5909 2024/10/26 21:32:46 - mmengine - INFO - Epoch(train) [34][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:22:55 time: 0.2464 data_time: 0.0261 memory: 2049 grad_norm: 3.2536 loss: 4.5776 loss_cls: 2.9652 loss_bbox: 1.6124 2024/10/26 21:32:59 - mmengine - INFO - Epoch(train) [34][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:22:43 time: 0.2508 data_time: 0.0242 memory: 2049 grad_norm: 2.9364 loss: 4.6878 loss_cls: 3.0752 loss_bbox: 1.6126 2024/10/26 21:33:11 - mmengine - INFO - Epoch(train) [34][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:22:32 time: 0.2543 data_time: 0.0217 memory: 2049 grad_norm: 3.2533 loss: 4.6935 loss_cls: 3.0580 loss_bbox: 1.6355 2024/10/26 21:33:24 - mmengine - INFO - Epoch(train) [34][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:22:17 time: 0.2434 data_time: 0.0236 memory: 2049 grad_norm: 3.1635 loss: 4.7582 loss_cls: 3.0614 loss_bbox: 1.6967 2024/10/26 21:33:36 - mmengine - INFO - Epoch(train) [34][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:22:07 time: 0.2578 data_time: 0.0213 memory: 2049 grad_norm: 3.0927 loss: 4.6597 loss_cls: 3.0430 loss_bbox: 1.6167 2024/10/26 21:33:49 - mmengine - INFO - Epoch(train) [34][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:21:55 time: 0.2529 data_time: 0.0207 memory: 2049 grad_norm: 3.4223 loss: 4.6947 loss_cls: 3.0207 loss_bbox: 1.6740 2024/10/26 21:34:01 - mmengine - INFO - Epoch(train) [34][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:21:41 time: 0.2433 data_time: 0.0214 memory: 2049 grad_norm: 3.2107 loss: 4.7364 loss_cls: 3.0897 loss_bbox: 1.6467 2024/10/26 21:34:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:34:17 - mmengine - INFO - Epoch(train) [34][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:21:50 time: 0.3249 data_time: 0.1009 memory: 2049 grad_norm: 3.0665 loss: 4.5713 loss_cls: 2.9566 loss_bbox: 1.6146 2024/10/26 21:34:30 - mmengine - INFO - Epoch(train) [34][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:21:38 time: 0.2545 data_time: 0.0207 memory: 2049 grad_norm: 2.9942 loss: 4.6273 loss_cls: 3.0017 loss_bbox: 1.6255 2024/10/26 21:34:43 - mmengine - INFO - Epoch(train) [34][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:21:27 time: 0.2543 data_time: 0.0257 memory: 2049 grad_norm: 3.0332 loss: 4.7311 loss_cls: 3.0634 loss_bbox: 1.6678 2024/10/26 21:34:56 - mmengine - INFO - Epoch(train) [34][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:21:18 time: 0.2626 data_time: 0.0281 memory: 2049 grad_norm: 3.2007 loss: 4.6887 loss_cls: 3.0184 loss_bbox: 1.6703 2024/10/26 21:35:08 - mmengine - INFO - Epoch(train) [34][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:21:04 time: 0.2431 data_time: 0.0275 memory: 2049 grad_norm: 3.2502 loss: 4.6563 loss_cls: 2.9975 loss_bbox: 1.6588 2024/10/26 21:35:21 - mmengine - INFO - Epoch(train) [34][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:20:51 time: 0.2495 data_time: 0.0225 memory: 2049 grad_norm: 3.0047 loss: 4.6682 loss_cls: 3.0562 loss_bbox: 1.6119 2024/10/26 21:35:33 - mmengine - INFO - Epoch(train) [34][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:20:38 time: 0.2464 data_time: 0.0258 memory: 2049 grad_norm: 3.1820 loss: 4.6263 loss_cls: 2.9887 loss_bbox: 1.6376 2024/10/26 21:35:45 - mmengine - INFO - Epoch(train) [34][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:20:23 time: 0.2440 data_time: 0.0282 memory: 2049 grad_norm: 3.1644 loss: 4.6375 loss_cls: 3.0151 loss_bbox: 1.6224 2024/10/26 21:35:58 - mmengine - INFO - Epoch(train) [34][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:20:12 time: 0.2532 data_time: 0.0216 memory: 2049 grad_norm: 3.3235 loss: 4.6469 loss_cls: 3.0539 loss_bbox: 1.5930 2024/10/26 21:36:10 - mmengine - INFO - Epoch(train) [34][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:19:56 time: 0.2390 data_time: 0.0226 memory: 2049 grad_norm: 3.2026 loss: 4.7256 loss_cls: 3.1101 loss_bbox: 1.6154 2024/10/26 21:36:23 - mmengine - INFO - Epoch(train) [34][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:19:46 time: 0.2581 data_time: 0.0358 memory: 2049 grad_norm: 3.0611 loss: 4.5806 loss_cls: 3.0086 loss_bbox: 1.5720 2024/10/26 21:36:35 - mmengine - INFO - Epoch(train) [34][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:19:33 time: 0.2481 data_time: 0.0253 memory: 2049 grad_norm: 3.0815 loss: 4.5947 loss_cls: 2.9936 loss_bbox: 1.6011 2024/10/26 21:36:48 - mmengine - INFO - Epoch(train) [34][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:19:23 time: 0.2592 data_time: 0.0294 memory: 2049 grad_norm: 3.1514 loss: 4.6650 loss_cls: 3.0375 loss_bbox: 1.6275 2024/10/26 21:37:01 - mmengine - INFO - Epoch(train) [34][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:19:14 time: 0.2630 data_time: 0.0343 memory: 2049 grad_norm: 3.2204 loss: 4.6121 loss_cls: 3.0193 loss_bbox: 1.5928 2024/10/26 21:37:17 - mmengine - INFO - Epoch(train) [34][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:19:18 time: 0.3106 data_time: 0.0974 memory: 2049 grad_norm: 3.0593 loss: 4.6344 loss_cls: 3.0252 loss_bbox: 1.6092 2024/10/26 21:37:30 - mmengine - INFO - Epoch(train) [34][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:19:07 time: 0.2535 data_time: 0.0255 memory: 2049 grad_norm: 3.1964 loss: 4.6663 loss_cls: 3.0521 loss_bbox: 1.6142 2024/10/26 21:37:42 - mmengine - INFO - Epoch(train) [34][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:18:52 time: 0.2414 data_time: 0.0256 memory: 2049 grad_norm: 3.3512 loss: 4.6467 loss_cls: 3.0479 loss_bbox: 1.5989 2024/10/26 21:37:54 - mmengine - INFO - Epoch(train) [34][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:18:39 time: 0.2498 data_time: 0.0259 memory: 2049 grad_norm: 3.0571 loss: 4.5409 loss_cls: 3.0171 loss_bbox: 1.5238 2024/10/26 21:38:07 - mmengine - INFO - Epoch(train) [34][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:18:27 time: 0.2510 data_time: 0.0290 memory: 2049 grad_norm: 3.3499 loss: 4.6279 loss_cls: 3.0097 loss_bbox: 1.6182 2024/10/26 21:38:19 - mmengine - INFO - Epoch(train) [34][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:18:15 time: 0.2519 data_time: 0.0265 memory: 2049 grad_norm: 3.0771 loss: 4.6344 loss_cls: 3.0329 loss_bbox: 1.6015 2024/10/26 21:38:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:38:32 - mmengine - INFO - Epoch(train) [34][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:18:04 time: 0.2551 data_time: 0.0332 memory: 2049 grad_norm: 3.0247 loss: 4.6260 loss_cls: 3.0308 loss_bbox: 1.5953 2024/10/26 21:38:44 - mmengine - INFO - Epoch(train) [34][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:17:49 time: 0.2425 data_time: 0.0268 memory: 2049 grad_norm: 2.9969 loss: 4.5651 loss_cls: 3.0294 loss_bbox: 1.5357 2024/10/26 21:38:57 - mmengine - INFO - Epoch(train) [34][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:17:38 time: 0.2547 data_time: 0.0268 memory: 2049 grad_norm: 3.2442 loss: 4.5684 loss_cls: 2.9924 loss_bbox: 1.5760 2024/10/26 21:39:10 - mmengine - INFO - Epoch(train) [34][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:17:27 time: 0.2534 data_time: 0.0262 memory: 2049 grad_norm: 3.1813 loss: 4.6559 loss_cls: 3.0049 loss_bbox: 1.6510 2024/10/26 21:39:22 - mmengine - INFO - Epoch(train) [34][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:17:16 time: 0.2569 data_time: 0.0369 memory: 2049 grad_norm: 3.0941 loss: 4.5193 loss_cls: 2.9606 loss_bbox: 1.5587 2024/10/26 21:39:35 - mmengine - INFO - Epoch(train) [34][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:17:06 time: 0.2597 data_time: 0.0263 memory: 2049 grad_norm: 3.2802 loss: 4.6017 loss_cls: 2.9937 loss_bbox: 1.6080 2024/10/26 21:39:48 - mmengine - INFO - Epoch(train) [34][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:16:56 time: 0.2608 data_time: 0.0276 memory: 2049 grad_norm: 3.3380 loss: 4.7255 loss_cls: 3.0544 loss_bbox: 1.6711 2024/10/26 21:40:02 - mmengine - INFO - Epoch(train) [34][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:16:47 time: 0.2609 data_time: 0.0266 memory: 2049 grad_norm: 3.4139 loss: 4.6831 loss_cls: 3.0395 loss_bbox: 1.6436 2024/10/26 21:40:18 - mmengine - INFO - Epoch(train) [34][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:16:57 time: 0.3336 data_time: 0.0948 memory: 2049 grad_norm: 2.8821 loss: 4.6583 loss_cls: 3.0355 loss_bbox: 1.6228 2024/10/26 21:40:31 - mmengine - INFO - Epoch(train) [34][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:16:47 time: 0.2598 data_time: 0.0346 memory: 2049 grad_norm: 3.2100 loss: 4.6545 loss_cls: 2.9940 loss_bbox: 1.6605 2024/10/26 21:40:44 - mmengine - INFO - Epoch(train) [34][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:16:38 time: 0.2627 data_time: 0.0299 memory: 2049 grad_norm: 3.4718 loss: 4.7587 loss_cls: 3.0649 loss_bbox: 1.6938 2024/10/26 21:40:58 - mmengine - INFO - Epoch(train) [34][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:16:30 time: 0.2690 data_time: 0.0271 memory: 2049 grad_norm: 3.3641 loss: 4.5879 loss_cls: 2.9999 loss_bbox: 1.5880 2024/10/26 21:41:10 - mmengine - INFO - Epoch(train) [34][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:16:18 time: 0.2517 data_time: 0.0335 memory: 2049 grad_norm: 3.2684 loss: 4.6255 loss_cls: 3.0083 loss_bbox: 1.6172 2024/10/26 21:41:24 - mmengine - INFO - Epoch(train) [34][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:16:11 time: 0.2684 data_time: 0.0290 memory: 2049 grad_norm: 3.4472 loss: 4.5684 loss_cls: 2.9637 loss_bbox: 1.6046 2024/10/26 21:41:37 - mmengine - INFO - Epoch(train) [34][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:16:00 time: 0.2574 data_time: 0.0251 memory: 2049 grad_norm: 3.1603 loss: 4.7949 loss_cls: 3.1030 loss_bbox: 1.6918 2024/10/26 21:41:49 - mmengine - INFO - Epoch(train) [34][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:15:49 time: 0.2539 data_time: 0.0252 memory: 2049 grad_norm: 3.0787 loss: 4.6477 loss_cls: 3.0524 loss_bbox: 1.5954 2024/10/26 21:42:02 - mmengine - INFO - Epoch(train) [34][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:15:38 time: 0.2566 data_time: 0.0256 memory: 2049 grad_norm: 3.1558 loss: 4.6936 loss_cls: 3.0820 loss_bbox: 1.6116 2024/10/26 21:42:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:42:06 - mmengine - INFO - Saving checkpoint at 34 epochs 2024/10/26 21:42:21 - mmengine - INFO - Epoch(train) [35][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:15:40 time: 0.2427 data_time: 0.0376 memory: 2049 grad_norm: 2.9793 loss: 4.5449 loss_cls: 2.9547 loss_bbox: 1.5902 2024/10/26 21:42:34 - mmengine - INFO - Epoch(train) [35][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:15:28 time: 0.2552 data_time: 0.0262 memory: 2049 grad_norm: 2.9244 loss: 4.6508 loss_cls: 3.0079 loss_bbox: 1.6428 2024/10/26 21:42:46 - mmengine - INFO - Epoch(train) [35][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:15:14 time: 0.2419 data_time: 0.0288 memory: 2049 grad_norm: 3.1512 loss: 4.6152 loss_cls: 3.0058 loss_bbox: 1.6094 2024/10/26 21:42:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:42:59 - mmengine - INFO - Epoch(train) [35][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:15:01 time: 0.2501 data_time: 0.0279 memory: 2049 grad_norm: 3.1510 loss: 4.6018 loss_cls: 2.9956 loss_bbox: 1.6062 2024/10/26 21:43:11 - mmengine - INFO - Epoch(train) [35][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:14:48 time: 0.2490 data_time: 0.0260 memory: 2049 grad_norm: 3.0954 loss: 4.6598 loss_cls: 3.0496 loss_bbox: 1.6103 2024/10/26 21:43:23 - mmengine - INFO - Epoch(train) [35][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:14:32 time: 0.2366 data_time: 0.0261 memory: 2049 grad_norm: 3.1344 loss: 4.7269 loss_cls: 3.0887 loss_bbox: 1.6382 2024/10/26 21:43:36 - mmengine - INFO - Epoch(train) [35][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:14:21 time: 0.2570 data_time: 0.0278 memory: 2049 grad_norm: 3.2490 loss: 4.6608 loss_cls: 3.0162 loss_bbox: 1.6446 2024/10/26 21:43:48 - mmengine - INFO - Epoch(train) [35][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:14:07 time: 0.2423 data_time: 0.0292 memory: 2049 grad_norm: 3.0855 loss: 4.6352 loss_cls: 3.0394 loss_bbox: 1.5958 2024/10/26 21:44:00 - mmengine - INFO - Epoch(train) [35][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:13:55 time: 0.2526 data_time: 0.0279 memory: 2049 grad_norm: 3.4535 loss: 4.6878 loss_cls: 3.0314 loss_bbox: 1.6565 2024/10/26 21:44:13 - mmengine - INFO - Epoch(train) [35][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:13:43 time: 0.2520 data_time: 0.0281 memory: 2049 grad_norm: 2.9777 loss: 4.5970 loss_cls: 2.9633 loss_bbox: 1.6337 2024/10/26 21:44:25 - mmengine - INFO - Epoch(train) [35][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:13:27 time: 0.2386 data_time: 0.0266 memory: 2049 grad_norm: 3.1666 loss: 4.7127 loss_cls: 3.0566 loss_bbox: 1.6561 2024/10/26 21:44:38 - mmengine - INFO - Epoch(train) [35][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:13:16 time: 0.2561 data_time: 0.0264 memory: 2049 grad_norm: 3.2138 loss: 4.6319 loss_cls: 3.0034 loss_bbox: 1.6285 2024/10/26 21:44:50 - mmengine - INFO - Epoch(train) [35][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:13:03 time: 0.2486 data_time: 0.0260 memory: 2049 grad_norm: 3.0314 loss: 4.5730 loss_cls: 2.9987 loss_bbox: 1.5743 2024/10/26 21:45:03 - mmengine - INFO - Epoch(train) [35][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:12:52 time: 0.2555 data_time: 0.0269 memory: 2049 grad_norm: 3.1152 loss: 4.6029 loss_cls: 2.9692 loss_bbox: 1.6336 2024/10/26 21:45:18 - mmengine - INFO - Epoch(train) [35][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:12:53 time: 0.3025 data_time: 0.0855 memory: 2049 grad_norm: 3.6922 loss: 4.6148 loss_cls: 3.0057 loss_bbox: 1.6092 2024/10/26 21:45:30 - mmengine - INFO - Epoch(train) [35][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:12:39 time: 0.2441 data_time: 0.0313 memory: 2049 grad_norm: 3.1489 loss: 4.5638 loss_cls: 2.9601 loss_bbox: 1.6036 2024/10/26 21:45:43 - mmengine - INFO - Epoch(train) [35][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:12:26 time: 0.2483 data_time: 0.0246 memory: 2049 grad_norm: 3.2242 loss: 4.5930 loss_cls: 2.9894 loss_bbox: 1.6036 2024/10/26 21:45:55 - mmengine - INFO - Epoch(train) [35][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:12:14 time: 0.2512 data_time: 0.0247 memory: 2049 grad_norm: 3.3834 loss: 4.5618 loss_cls: 2.9840 loss_bbox: 1.5779 2024/10/26 21:46:08 - mmengine - INFO - Epoch(train) [35][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:12:02 time: 0.2527 data_time: 0.0273 memory: 2049 grad_norm: 2.9410 loss: 4.6417 loss_cls: 2.9912 loss_bbox: 1.6505 2024/10/26 21:46:20 - mmengine - INFO - Epoch(train) [35][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:11:48 time: 0.2456 data_time: 0.0320 memory: 2049 grad_norm: 3.3271 loss: 4.6345 loss_cls: 3.0373 loss_bbox: 1.5972 2024/10/26 21:46:33 - mmengine - INFO - Epoch(train) [35][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:11:36 time: 0.2525 data_time: 0.0284 memory: 2049 grad_norm: 2.9146 loss: 4.7006 loss_cls: 3.0309 loss_bbox: 1.6697 2024/10/26 21:46:45 - mmengine - INFO - Epoch(train) [35][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:11:22 time: 0.2468 data_time: 0.0261 memory: 2049 grad_norm: 3.2937 loss: 4.6791 loss_cls: 3.0427 loss_bbox: 1.6364 2024/10/26 21:46:58 - mmengine - INFO - Epoch(train) [35][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:11:09 time: 0.2471 data_time: 0.0260 memory: 2049 grad_norm: 3.2513 loss: 4.6907 loss_cls: 3.0027 loss_bbox: 1.6879 2024/10/26 21:47:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:47:10 - mmengine - INFO - Epoch(train) [35][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:10:57 time: 0.2540 data_time: 0.0347 memory: 2049 grad_norm: 3.0898 loss: 4.5987 loss_cls: 2.9571 loss_bbox: 1.6417 2024/10/26 21:47:23 - mmengine - INFO - Epoch(train) [35][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:10:44 time: 0.2459 data_time: 0.0275 memory: 2049 grad_norm: 3.3089 loss: 4.5412 loss_cls: 2.9777 loss_bbox: 1.5635 2024/10/26 21:47:35 - mmengine - INFO - Epoch(train) [35][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:10:31 time: 0.2498 data_time: 0.0258 memory: 2049 grad_norm: 3.3003 loss: 4.7661 loss_cls: 3.0851 loss_bbox: 1.6810 2024/10/26 21:47:47 - mmengine - INFO - Epoch(train) [35][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:10:16 time: 0.2393 data_time: 0.0269 memory: 2049 grad_norm: 3.1368 loss: 4.7036 loss_cls: 3.0428 loss_bbox: 1.6609 2024/10/26 21:48:00 - mmengine - INFO - Epoch(train) [35][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:10:03 time: 0.2489 data_time: 0.0305 memory: 2049 grad_norm: 3.0954 loss: 4.6893 loss_cls: 3.0384 loss_bbox: 1.6510 2024/10/26 21:48:12 - mmengine - INFO - Epoch(train) [35][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:09:49 time: 0.2455 data_time: 0.0271 memory: 2049 grad_norm: 3.1692 loss: 4.6348 loss_cls: 3.0258 loss_bbox: 1.6090 2024/10/26 21:48:24 - mmengine - INFO - Epoch(train) [35][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:09:36 time: 0.2465 data_time: 0.0280 memory: 2049 grad_norm: 3.1830 loss: 4.6200 loss_cls: 3.0235 loss_bbox: 1.5965 2024/10/26 21:48:36 - mmengine - INFO - Epoch(train) [35][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:09:20 time: 0.2378 data_time: 0.0274 memory: 2049 grad_norm: 3.1877 loss: 4.7188 loss_cls: 3.0534 loss_bbox: 1.6654 2024/10/26 21:48:48 - mmengine - INFO - Epoch(train) [35][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:09:06 time: 0.2443 data_time: 0.0256 memory: 2049 grad_norm: 3.1938 loss: 4.6669 loss_cls: 3.0400 loss_bbox: 1.6268 2024/10/26 21:49:00 - mmengine - INFO - Epoch(train) [35][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:08:51 time: 0.2409 data_time: 0.0244 memory: 2049 grad_norm: 3.3293 loss: 4.6343 loss_cls: 3.0185 loss_bbox: 1.6158 2024/10/26 21:49:13 - mmengine - INFO - Epoch(train) [35][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:08:38 time: 0.2512 data_time: 0.0226 memory: 2049 grad_norm: 3.1191 loss: 4.6371 loss_cls: 3.0209 loss_bbox: 1.6162 2024/10/26 21:49:25 - mmengine - INFO - Epoch(train) [35][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:08:24 time: 0.2437 data_time: 0.0241 memory: 2049 grad_norm: 3.1723 loss: 4.6343 loss_cls: 3.0366 loss_bbox: 1.5977 2024/10/26 21:49:37 - mmengine - INFO - Epoch(train) [35][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:08:10 time: 0.2446 data_time: 0.0303 memory: 2049 grad_norm: 3.4424 loss: 4.6851 loss_cls: 3.0354 loss_bbox: 1.6497 2024/10/26 21:49:51 - mmengine - INFO - Epoch(train) [35][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:08:02 time: 0.2686 data_time: 0.0292 memory: 2049 grad_norm: 3.4179 loss: 4.6379 loss_cls: 3.0055 loss_bbox: 1.6324 2024/10/26 21:50:03 - mmengine - INFO - Epoch(train) [35][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:07:47 time: 0.2405 data_time: 0.0370 memory: 2049 grad_norm: 3.0322 loss: 4.8144 loss_cls: 3.1291 loss_bbox: 1.6853 2024/10/26 21:50:19 - mmengine - INFO - Epoch(train) [35][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:07:52 time: 0.3176 data_time: 0.0850 memory: 2049 grad_norm: 3.6050 loss: 4.7120 loss_cls: 3.0986 loss_bbox: 1.6134 2024/10/26 21:50:31 - mmengine - INFO - Epoch(train) [35][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:07:41 time: 0.2548 data_time: 0.0270 memory: 2049 grad_norm: 2.9314 loss: 4.5854 loss_cls: 2.9827 loss_bbox: 1.6027 2024/10/26 21:50:44 - mmengine - INFO - Epoch(train) [35][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:07:30 time: 0.2554 data_time: 0.0259 memory: 2049 grad_norm: 3.4205 loss: 4.6986 loss_cls: 3.0536 loss_bbox: 1.6451 2024/10/26 21:50:58 - mmengine - INFO - Epoch(train) [35][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:07:24 time: 0.2765 data_time: 0.0364 memory: 2049 grad_norm: 3.2015 loss: 4.6354 loss_cls: 3.0115 loss_bbox: 1.6239 2024/10/26 21:51:11 - mmengine - INFO - Epoch(train) [35][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:07:11 time: 0.2508 data_time: 0.0375 memory: 2049 grad_norm: 2.9072 loss: 4.6010 loss_cls: 2.9716 loss_bbox: 1.6295 2024/10/26 21:51:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:51:24 - mmengine - INFO - Epoch(train) [35][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:07:01 time: 0.2604 data_time: 0.0271 memory: 2049 grad_norm: 3.4461 loss: 4.6330 loss_cls: 3.0010 loss_bbox: 1.6320 2024/10/26 21:51:37 - mmengine - INFO - Epoch(train) [35][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:06:51 time: 0.2599 data_time: 0.0275 memory: 2049 grad_norm: 3.1660 loss: 4.6141 loss_cls: 2.9945 loss_bbox: 1.6196 2024/10/26 21:51:49 - mmengine - INFO - Epoch(train) [35][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:06:38 time: 0.2463 data_time: 0.0269 memory: 2049 grad_norm: 3.1804 loss: 4.6417 loss_cls: 3.0398 loss_bbox: 1.6019 2024/10/26 21:52:02 - mmengine - INFO - Epoch(train) [35][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:06:30 time: 0.2682 data_time: 0.0277 memory: 2049 grad_norm: 3.2700 loss: 4.6922 loss_cls: 3.0743 loss_bbox: 1.6179 2024/10/26 21:52:18 - mmengine - INFO - Epoch(train) [35][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:06:31 time: 0.3053 data_time: 0.0802 memory: 2049 grad_norm: 3.2799 loss: 4.5979 loss_cls: 2.9210 loss_bbox: 1.6768 2024/10/26 21:52:31 - mmengine - INFO - Epoch(train) [35][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:06:23 time: 0.2686 data_time: 0.0324 memory: 2049 grad_norm: 3.2975 loss: 4.6742 loss_cls: 3.0484 loss_bbox: 1.6258 2024/10/26 21:52:44 - mmengine - INFO - Epoch(train) [35][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:06:14 time: 0.2660 data_time: 0.0333 memory: 2049 grad_norm: 3.1038 loss: 4.6308 loss_cls: 3.0036 loss_bbox: 1.6272 2024/10/26 21:52:57 - mmengine - INFO - Epoch(train) [35][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:06:03 time: 0.2550 data_time: 0.0342 memory: 2049 grad_norm: 3.3115 loss: 4.6018 loss_cls: 2.9863 loss_bbox: 1.6155 2024/10/26 21:53:11 - mmengine - INFO - Epoch(train) [35][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:05:56 time: 0.2711 data_time: 0.0297 memory: 2049 grad_norm: 3.2394 loss: 4.6490 loss_cls: 3.0027 loss_bbox: 1.6463 2024/10/26 21:53:23 - mmengine - INFO - Epoch(train) [35][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:05:44 time: 0.2524 data_time: 0.0267 memory: 2049 grad_norm: 3.1283 loss: 4.6259 loss_cls: 2.9947 loss_bbox: 1.6312 2024/10/26 21:53:36 - mmengine - INFO - Epoch(train) [35][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:05:33 time: 0.2597 data_time: 0.0260 memory: 2049 grad_norm: 3.3267 loss: 4.6157 loss_cls: 3.0222 loss_bbox: 1.5935 2024/10/26 21:53:49 - mmengine - INFO - Epoch(train) [35][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:05:21 time: 0.2524 data_time: 0.0278 memory: 2049 grad_norm: 3.1536 loss: 4.6103 loss_cls: 2.9955 loss_bbox: 1.6148 2024/10/26 21:54:01 - mmengine - INFO - Epoch(train) [35][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:05:07 time: 0.2436 data_time: 0.0271 memory: 2049 grad_norm: 3.2382 loss: 4.6372 loss_cls: 3.0149 loss_bbox: 1.6223 2024/10/26 21:54:18 - mmengine - INFO - Epoch(train) [35][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:05:17 time: 0.3396 data_time: 0.0988 memory: 2049 grad_norm: 3.0453 loss: 4.6526 loss_cls: 3.0214 loss_bbox: 1.6312 2024/10/26 21:54:31 - mmengine - INFO - Epoch(train) [35][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:05:04 time: 0.2494 data_time: 0.0362 memory: 2049 grad_norm: 3.2586 loss: 4.6339 loss_cls: 3.0179 loss_bbox: 1.6161 2024/10/26 21:54:44 - mmengine - INFO - Epoch(train) [35][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:04:54 time: 0.2588 data_time: 0.0252 memory: 2049 grad_norm: 3.1328 loss: 4.5725 loss_cls: 2.9636 loss_bbox: 1.6089 2024/10/26 21:54:56 - mmengine - INFO - Epoch(train) [35][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:04:42 time: 0.2556 data_time: 0.0256 memory: 2049 grad_norm: 3.0272 loss: 4.7187 loss_cls: 3.0381 loss_bbox: 1.6806 2024/10/26 21:55:09 - mmengine - INFO - Epoch(train) [35][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:04:29 time: 0.2463 data_time: 0.0245 memory: 2049 grad_norm: 3.2795 loss: 4.6863 loss_cls: 3.0645 loss_bbox: 1.6219 2024/10/26 21:55:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:55:09 - mmengine - INFO - Saving checkpoint at 35 epochs 2024/10/26 21:55:15 - mmengine - INFO - Epoch(val) [35][50/79] eta: 0:00:01 time: 0.0448 data_time: 0.0064 memory: 2049 2024/10/26 21:55:30 - mmengine - INFO - Evaluating bbox... 2024/10/26 21:56:36 - mmengine - INFO - bbox_mAP_copypaste: 0.168 0.295 0.169 0.013 0.150 0.328 2024/10/26 21:56:37 - mmengine - INFO - Epoch(val) [35][79/79] coco/bbox_mAP: 0.1680 coco/bbox_mAP_50: 0.2950 coco/bbox_mAP_75: 0.1690 coco/bbox_mAP_s: 0.0130 coco/bbox_mAP_m: 0.1500 coco/bbox_mAP_l: 0.3280 data_time: 0.0060 time: 0.0440 2024/10/26 21:56:50 - mmengine - INFO - Epoch(train) [36][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:04:17 time: 0.2614 data_time: 0.0382 memory: 2049 grad_norm: 3.3881 loss: 4.6814 loss_cls: 3.0234 loss_bbox: 1.6581 2024/10/26 21:57:02 - mmengine - INFO - Epoch(train) [36][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:03:58 time: 0.2265 data_time: 0.0279 memory: 2049 grad_norm: 3.0525 loss: 4.7206 loss_cls: 3.0706 loss_bbox: 1.6500 2024/10/26 21:57:07 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 21:57:18 - mmengine - INFO - Epoch(train) [36][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:04:04 time: 0.3249 data_time: 0.0972 memory: 2049 grad_norm: 3.3302 loss: 4.7445 loss_cls: 3.0863 loss_bbox: 1.6582 2024/10/26 21:57:29 - mmengine - INFO - Epoch(train) [36][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:03:44 time: 0.2195 data_time: 0.0250 memory: 2049 grad_norm: 3.0302 loss: 4.5765 loss_cls: 2.9743 loss_bbox: 1.6021 2024/10/26 21:57:41 - mmengine - INFO - Epoch(train) [36][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:03:29 time: 0.2394 data_time: 0.0297 memory: 2049 grad_norm: 3.4928 loss: 4.5772 loss_cls: 2.9901 loss_bbox: 1.5871 2024/10/26 21:57:52 - mmengine - INFO - Epoch(train) [36][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:03:12 time: 0.2342 data_time: 0.0227 memory: 2049 grad_norm: 2.9325 loss: 4.6331 loss_cls: 3.0200 loss_bbox: 1.6131 2024/10/26 21:58:04 - mmengine - INFO - Epoch(train) [36][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:02:54 time: 0.2301 data_time: 0.0239 memory: 2049 grad_norm: 3.2094 loss: 4.5468 loss_cls: 2.9395 loss_bbox: 1.6072 2024/10/26 21:58:18 - mmengine - INFO - Epoch(train) [36][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:02:47 time: 0.2736 data_time: 0.0530 memory: 2049 grad_norm: 3.4566 loss: 4.6084 loss_cls: 3.0046 loss_bbox: 1.6038 2024/10/26 21:58:29 - mmengine - INFO - Epoch(train) [36][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:02:29 time: 0.2275 data_time: 0.0253 memory: 2049 grad_norm: 3.1858 loss: 4.5694 loss_cls: 2.9903 loss_bbox: 1.5791 2024/10/26 21:58:42 - mmengine - INFO - Epoch(train) [36][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:02:20 time: 0.2634 data_time: 0.0387 memory: 2049 grad_norm: 3.1653 loss: 4.6942 loss_cls: 3.0563 loss_bbox: 1.6379 2024/10/26 21:58:54 - mmengine - INFO - Epoch(train) [36][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:02:02 time: 0.2280 data_time: 0.0252 memory: 2049 grad_norm: 3.3720 loss: 4.6171 loss_cls: 2.9777 loss_bbox: 1.6394 2024/10/26 21:59:05 - mmengine - INFO - Epoch(train) [36][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:01:44 time: 0.2277 data_time: 0.0262 memory: 2049 grad_norm: 2.8971 loss: 4.6397 loss_cls: 2.9680 loss_bbox: 1.6717 2024/10/26 21:59:19 - mmengine - INFO - Epoch(train) [36][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:01:40 time: 0.2855 data_time: 0.0513 memory: 2049 grad_norm: 3.2141 loss: 4.5804 loss_cls: 2.9763 loss_bbox: 1.6041 2024/10/26 21:59:31 - mmengine - INFO - Epoch(train) [36][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:01:23 time: 0.2324 data_time: 0.0256 memory: 2049 grad_norm: 3.1942 loss: 4.7284 loss_cls: 3.0532 loss_bbox: 1.6752 2024/10/26 21:59:44 - mmengine - INFO - Epoch(train) [36][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:01:12 time: 0.2586 data_time: 0.0251 memory: 2049 grad_norm: 3.1966 loss: 4.7247 loss_cls: 3.0759 loss_bbox: 1.6488 2024/10/26 21:59:56 - mmengine - INFO - Epoch(train) [36][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:00:57 time: 0.2390 data_time: 0.0252 memory: 2049 grad_norm: 3.1042 loss: 4.6464 loss_cls: 3.0276 loss_bbox: 1.6188 2024/10/26 22:00:08 - mmengine - INFO - Epoch(train) [36][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:00:41 time: 0.2383 data_time: 0.0265 memory: 2049 grad_norm: 3.3243 loss: 4.5808 loss_cls: 2.9808 loss_bbox: 1.6000 2024/10/26 22:00:21 - mmengine - INFO - Epoch(train) [36][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:00:31 time: 0.2592 data_time: 0.0269 memory: 2049 grad_norm: 3.2932 loss: 4.6808 loss_cls: 3.0405 loss_bbox: 1.6403 2024/10/26 22:00:33 - mmengine - INFO - Epoch(train) [36][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:00:15 time: 0.2390 data_time: 0.0281 memory: 2049 grad_norm: 3.0719 loss: 4.7816 loss_cls: 3.1327 loss_bbox: 1.6490 2024/10/26 22:00:46 - mmengine - INFO - Epoch(train) [36][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 18:00:06 time: 0.2626 data_time: 0.0267 memory: 2049 grad_norm: 3.1349 loss: 4.5513 loss_cls: 3.0031 loss_bbox: 1.5481 2024/10/26 22:00:58 - mmengine - INFO - Epoch(train) [36][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:59:51 time: 0.2425 data_time: 0.0262 memory: 2049 grad_norm: 3.2811 loss: 4.7209 loss_cls: 3.0487 loss_bbox: 1.6721 2024/10/26 22:01:10 - mmengine - INFO - Epoch(train) [36][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:59:38 time: 0.2467 data_time: 0.0338 memory: 2049 grad_norm: 3.1810 loss: 4.6481 loss_cls: 3.0252 loss_bbox: 1.6230 2024/10/26 22:01:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:01:24 - mmengine - INFO - Epoch(train) [36][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:59:29 time: 0.2656 data_time: 0.0263 memory: 2049 grad_norm: 3.3037 loss: 4.6384 loss_cls: 3.0362 loss_bbox: 1.6022 2024/10/26 22:01:36 - mmengine - INFO - Epoch(train) [36][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:59:16 time: 0.2480 data_time: 0.0258 memory: 2049 grad_norm: 3.2179 loss: 4.7262 loss_cls: 3.0763 loss_bbox: 1.6499 2024/10/26 22:01:49 - mmengine - INFO - Epoch(train) [36][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:59:07 time: 0.2654 data_time: 0.0278 memory: 2049 grad_norm: 3.3103 loss: 4.7378 loss_cls: 3.0076 loss_bbox: 1.7302 2024/10/26 22:02:02 - mmengine - INFO - Epoch(train) [36][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:58:53 time: 0.2470 data_time: 0.0271 memory: 2049 grad_norm: 3.0163 loss: 4.6262 loss_cls: 3.0161 loss_bbox: 1.6101 2024/10/26 22:02:14 - mmengine - INFO - Epoch(train) [36][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:58:41 time: 0.2507 data_time: 0.0262 memory: 2049 grad_norm: 3.2028 loss: 4.7263 loss_cls: 3.0498 loss_bbox: 1.6765 2024/10/26 22:02:27 - mmengine - INFO - Epoch(train) [36][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:58:28 time: 0.2517 data_time: 0.0225 memory: 2049 grad_norm: 2.9707 loss: 4.7317 loss_cls: 3.0734 loss_bbox: 1.6582 2024/10/26 22:02:39 - mmengine - INFO - Epoch(train) [36][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:58:16 time: 0.2499 data_time: 0.0339 memory: 2049 grad_norm: 3.1916 loss: 4.6322 loss_cls: 3.0379 loss_bbox: 1.5943 2024/10/26 22:02:52 - mmengine - INFO - Epoch(train) [36][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:58:04 time: 0.2550 data_time: 0.0243 memory: 2049 grad_norm: 3.1009 loss: 4.6262 loss_cls: 3.0086 loss_bbox: 1.6175 2024/10/26 22:03:04 - mmengine - INFO - Epoch(train) [36][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:57:51 time: 0.2494 data_time: 0.0288 memory: 2049 grad_norm: 3.1482 loss: 4.5932 loss_cls: 2.9702 loss_bbox: 1.6230 2024/10/26 22:03:17 - mmengine - INFO - Epoch(train) [36][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:57:41 time: 0.2579 data_time: 0.0414 memory: 2049 grad_norm: 3.4009 loss: 4.7764 loss_cls: 3.0972 loss_bbox: 1.6792 2024/10/26 22:03:30 - mmengine - INFO - Epoch(train) [36][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:57:30 time: 0.2566 data_time: 0.0241 memory: 2049 grad_norm: 3.2303 loss: 4.6662 loss_cls: 3.0390 loss_bbox: 1.6272 2024/10/26 22:03:42 - mmengine - INFO - Epoch(train) [36][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:57:15 time: 0.2421 data_time: 0.0283 memory: 2049 grad_norm: 3.1893 loss: 4.7615 loss_cls: 3.0910 loss_bbox: 1.6705 2024/10/26 22:03:55 - mmengine - INFO - Epoch(train) [36][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:57:02 time: 0.2485 data_time: 0.0227 memory: 2049 grad_norm: 3.1462 loss: 4.7707 loss_cls: 3.0917 loss_bbox: 1.6789 2024/10/26 22:04:07 - mmengine - INFO - Epoch(train) [36][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:56:48 time: 0.2451 data_time: 0.0235 memory: 2049 grad_norm: 3.1133 loss: 4.6586 loss_cls: 3.0543 loss_bbox: 1.6043 2024/10/26 22:04:19 - mmengine - INFO - Epoch(train) [36][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:56:34 time: 0.2443 data_time: 0.0301 memory: 2049 grad_norm: 3.1289 loss: 4.7272 loss_cls: 3.0943 loss_bbox: 1.6329 2024/10/26 22:04:32 - mmengine - INFO - Epoch(train) [36][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:56:21 time: 0.2491 data_time: 0.0242 memory: 2049 grad_norm: 3.3193 loss: 4.6453 loss_cls: 3.0340 loss_bbox: 1.6113 2024/10/26 22:04:44 - mmengine - INFO - Epoch(train) [36][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:56:10 time: 0.2549 data_time: 0.0255 memory: 2049 grad_norm: 3.1315 loss: 4.6159 loss_cls: 2.9719 loss_bbox: 1.6440 2024/10/26 22:04:57 - mmengine - INFO - Epoch(train) [36][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:55:56 time: 0.2459 data_time: 0.0278 memory: 2049 grad_norm: 2.9475 loss: 4.6907 loss_cls: 3.0264 loss_bbox: 1.6643 2024/10/26 22:05:09 - mmengine - INFO - Epoch(train) [36][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:55:44 time: 0.2522 data_time: 0.0263 memory: 2049 grad_norm: 3.3045 loss: 4.7338 loss_cls: 3.0763 loss_bbox: 1.6574 2024/10/26 22:05:22 - mmengine - INFO - Epoch(train) [36][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:55:30 time: 0.2454 data_time: 0.0300 memory: 2049 grad_norm: 3.3859 loss: 4.5713 loss_cls: 3.0141 loss_bbox: 1.5572 2024/10/26 22:05:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:05:34 - mmengine - INFO - Epoch(train) [36][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:55:17 time: 0.2466 data_time: 0.0256 memory: 2049 grad_norm: 3.2220 loss: 4.5898 loss_cls: 2.9757 loss_bbox: 1.6141 2024/10/26 22:05:47 - mmengine - INFO - Epoch(train) [36][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:55:07 time: 0.2616 data_time: 0.0287 memory: 2049 grad_norm: 3.1005 loss: 4.6246 loss_cls: 3.0253 loss_bbox: 1.5993 2024/10/26 22:05:59 - mmengine - INFO - Epoch(train) [36][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:54:53 time: 0.2437 data_time: 0.0234 memory: 2049 grad_norm: 3.3524 loss: 4.6311 loss_cls: 3.0545 loss_bbox: 1.5766 2024/10/26 22:06:12 - mmengine - INFO - Epoch(train) [36][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:54:41 time: 0.2546 data_time: 0.0300 memory: 2049 grad_norm: 3.0835 loss: 4.6487 loss_cls: 3.0343 loss_bbox: 1.6144 2024/10/26 22:06:24 - mmengine - INFO - Epoch(train) [36][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:54:28 time: 0.2480 data_time: 0.0359 memory: 2049 grad_norm: 3.1466 loss: 4.6672 loss_cls: 3.0310 loss_bbox: 1.6363 2024/10/26 22:06:37 - mmengine - INFO - Epoch(train) [36][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:54:16 time: 0.2546 data_time: 0.0342 memory: 2049 grad_norm: 3.2163 loss: 4.6863 loss_cls: 3.0521 loss_bbox: 1.6342 2024/10/26 22:06:50 - mmengine - INFO - Epoch(train) [36][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:54:07 time: 0.2627 data_time: 0.0281 memory: 2049 grad_norm: 3.3065 loss: 4.6139 loss_cls: 3.0138 loss_bbox: 1.6001 2024/10/26 22:07:02 - mmengine - INFO - Epoch(train) [36][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:53:52 time: 0.2426 data_time: 0.0288 memory: 2049 grad_norm: 3.2550 loss: 4.6391 loss_cls: 2.9754 loss_bbox: 1.6637 2024/10/26 22:07:17 - mmengine - INFO - Epoch(train) [36][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:53:49 time: 0.2921 data_time: 0.0628 memory: 2049 grad_norm: 3.4497 loss: 4.6906 loss_cls: 3.0238 loss_bbox: 1.6668 2024/10/26 22:07:30 - mmengine - INFO - Epoch(train) [36][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:53:37 time: 0.2501 data_time: 0.0414 memory: 2049 grad_norm: 2.9547 loss: 4.5613 loss_cls: 2.9589 loss_bbox: 1.6024 2024/10/26 22:07:42 - mmengine - INFO - Epoch(train) [36][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:53:22 time: 0.2414 data_time: 0.0269 memory: 2049 grad_norm: 3.1692 loss: 4.6179 loss_cls: 3.0262 loss_bbox: 1.5917 2024/10/26 22:07:55 - mmengine - INFO - Epoch(train) [36][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:53:14 time: 0.2684 data_time: 0.0277 memory: 2049 grad_norm: 3.2413 loss: 4.6785 loss_cls: 3.0511 loss_bbox: 1.6274 2024/10/26 22:08:08 - mmengine - INFO - Epoch(train) [36][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:53:02 time: 0.2555 data_time: 0.0300 memory: 2049 grad_norm: 3.2027 loss: 4.6193 loss_cls: 3.0613 loss_bbox: 1.5580 2024/10/26 22:08:21 - mmengine - INFO - Epoch(train) [36][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:52:54 time: 0.2710 data_time: 0.0350 memory: 2049 grad_norm: 3.3790 loss: 4.7018 loss_cls: 3.0824 loss_bbox: 1.6194 2024/10/26 22:08:34 - mmengine - INFO - Epoch(train) [36][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:52:42 time: 0.2504 data_time: 0.0265 memory: 2049 grad_norm: 3.1827 loss: 4.6959 loss_cls: 3.0576 loss_bbox: 1.6384 2024/10/26 22:08:46 - mmengine - INFO - Epoch(train) [36][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:52:27 time: 0.2422 data_time: 0.0273 memory: 2049 grad_norm: 3.0055 loss: 4.6820 loss_cls: 3.0420 loss_bbox: 1.6400 2024/10/26 22:09:00 - mmengine - INFO - Epoch(train) [36][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:52:23 time: 0.2856 data_time: 0.0366 memory: 2049 grad_norm: 3.4255 loss: 4.6693 loss_cls: 3.0383 loss_bbox: 1.6310 2024/10/26 22:09:13 - mmengine - INFO - Epoch(train) [36][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:52:10 time: 0.2492 data_time: 0.0281 memory: 2049 grad_norm: 3.1284 loss: 4.6297 loss_cls: 2.9918 loss_bbox: 1.6379 2024/10/26 22:09:26 - mmengine - INFO - Epoch(train) [36][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:52:00 time: 0.2619 data_time: 0.0287 memory: 2049 grad_norm: 3.2493 loss: 4.5355 loss_cls: 2.9598 loss_bbox: 1.5757 2024/10/26 22:09:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:09:27 - mmengine - INFO - Saving checkpoint at 36 epochs 2024/10/26 22:09:44 - mmengine - INFO - Epoch(train) [37][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:51:50 time: 0.2588 data_time: 0.0492 memory: 2049 grad_norm: 3.1839 loss: 4.6248 loss_cls: 3.0133 loss_bbox: 1.6115 2024/10/26 22:09:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:09:55 - mmengine - INFO - Epoch(train) [37][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:51:33 time: 0.2311 data_time: 0.0293 memory: 2049 grad_norm: 3.0555 loss: 4.6040 loss_cls: 2.9922 loss_bbox: 1.6118 2024/10/26 22:10:09 - mmengine - INFO - Epoch(train) [37][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:51:24 time: 0.2680 data_time: 0.0324 memory: 2049 grad_norm: 3.2470 loss: 4.6043 loss_cls: 3.0216 loss_bbox: 1.5828 2024/10/26 22:10:21 - mmengine - INFO - Epoch(train) [37][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:51:09 time: 0.2380 data_time: 0.0362 memory: 2049 grad_norm: 3.2280 loss: 4.5849 loss_cls: 2.9849 loss_bbox: 1.6000 2024/10/26 22:10:33 - mmengine - INFO - Epoch(train) [37][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:50:57 time: 0.2555 data_time: 0.0278 memory: 2049 grad_norm: 2.9472 loss: 4.7342 loss_cls: 3.0665 loss_bbox: 1.6676 2024/10/26 22:10:46 - mmengine - INFO - Epoch(train) [37][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:50:46 time: 0.2563 data_time: 0.0282 memory: 2049 grad_norm: 3.3719 loss: 4.7589 loss_cls: 3.0774 loss_bbox: 1.6815 2024/10/26 22:10:59 - mmengine - INFO - Epoch(train) [37][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:50:37 time: 0.2640 data_time: 0.0407 memory: 2049 grad_norm: 3.4807 loss: 4.6853 loss_cls: 3.0383 loss_bbox: 1.6470 2024/10/26 22:11:13 - mmengine - INFO - Epoch(train) [37][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:50:28 time: 0.2661 data_time: 0.0319 memory: 2049 grad_norm: 3.0124 loss: 4.7926 loss_cls: 3.0679 loss_bbox: 1.7247 2024/10/26 22:11:26 - mmengine - INFO - Epoch(train) [37][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:50:17 time: 0.2577 data_time: 0.0358 memory: 2049 grad_norm: 3.2674 loss: 4.6547 loss_cls: 3.0403 loss_bbox: 1.6144 2024/10/26 22:11:39 - mmengine - INFO - Epoch(train) [37][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:50:07 time: 0.2644 data_time: 0.0274 memory: 2049 grad_norm: 3.0092 loss: 4.5697 loss_cls: 2.9652 loss_bbox: 1.6045 2024/10/26 22:11:51 - mmengine - INFO - Epoch(train) [37][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:49:55 time: 0.2510 data_time: 0.0327 memory: 2049 grad_norm: 3.2775 loss: 4.6549 loss_cls: 3.0200 loss_bbox: 1.6349 2024/10/26 22:12:03 - mmengine - INFO - Epoch(train) [37][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:49:40 time: 0.2429 data_time: 0.0288 memory: 2049 grad_norm: 2.9898 loss: 4.6121 loss_cls: 2.9903 loss_bbox: 1.6218 2024/10/26 22:12:19 - mmengine - INFO - Epoch(train) [37][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:49:40 time: 0.3015 data_time: 0.0498 memory: 2049 grad_norm: 3.0881 loss: 4.6840 loss_cls: 2.9884 loss_bbox: 1.6957 2024/10/26 22:12:30 - mmengine - INFO - Epoch(train) [37][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:49:23 time: 0.2318 data_time: 0.0267 memory: 2049 grad_norm: 3.4346 loss: 4.6828 loss_cls: 3.0433 loss_bbox: 1.6395 2024/10/26 22:12:42 - mmengine - INFO - Epoch(train) [37][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:49:08 time: 0.2434 data_time: 0.0264 memory: 2049 grad_norm: 3.0627 loss: 4.6891 loss_cls: 3.0683 loss_bbox: 1.6208 2024/10/26 22:12:55 - mmengine - INFO - Epoch(train) [37][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:48:56 time: 0.2524 data_time: 0.0290 memory: 2049 grad_norm: 3.0521 loss: 4.6072 loss_cls: 3.0085 loss_bbox: 1.5988 2024/10/26 22:13:07 - mmengine - INFO - Epoch(train) [37][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:48:43 time: 0.2470 data_time: 0.0305 memory: 2049 grad_norm: 3.1667 loss: 4.6768 loss_cls: 3.0406 loss_bbox: 1.6362 2024/10/26 22:13:21 - mmengine - INFO - Epoch(train) [37][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:48:34 time: 0.2678 data_time: 0.0295 memory: 2049 grad_norm: 3.2821 loss: 4.6791 loss_cls: 3.0116 loss_bbox: 1.6675 2024/10/26 22:13:33 - mmengine - INFO - Epoch(train) [37][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:48:20 time: 0.2437 data_time: 0.0284 memory: 2049 grad_norm: 3.1216 loss: 4.7520 loss_cls: 3.0887 loss_bbox: 1.6633 2024/10/26 22:13:47 - mmengine - INFO - Epoch(train) [37][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:48:12 time: 0.2722 data_time: 0.0269 memory: 2049 grad_norm: 3.1625 loss: 4.6767 loss_cls: 3.0342 loss_bbox: 1.6425 2024/10/26 22:13:59 - mmengine - INFO - Epoch(train) [37][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:48:00 time: 0.2505 data_time: 0.0297 memory: 2049 grad_norm: 3.3207 loss: 4.6314 loss_cls: 3.0265 loss_bbox: 1.6048 2024/10/26 22:14:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:14:11 - mmengine - INFO - Epoch(train) [37][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:47:46 time: 0.2468 data_time: 0.0289 memory: 2049 grad_norm: 3.1450 loss: 4.7055 loss_cls: 3.0596 loss_bbox: 1.6460 2024/10/26 22:14:25 - mmengine - INFO - Epoch(train) [37][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:47:38 time: 0.2694 data_time: 0.0348 memory: 2049 grad_norm: 3.2851 loss: 4.7001 loss_cls: 3.0353 loss_bbox: 1.6648 2024/10/26 22:14:37 - mmengine - INFO - Epoch(train) [37][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:47:24 time: 0.2430 data_time: 0.0293 memory: 2049 grad_norm: 3.2229 loss: 4.5243 loss_cls: 2.9632 loss_bbox: 1.5611 2024/10/26 22:14:51 - mmengine - INFO - Epoch(train) [37][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:47:15 time: 0.2692 data_time: 0.0285 memory: 2049 grad_norm: 2.9866 loss: 4.6781 loss_cls: 3.0662 loss_bbox: 1.6119 2024/10/26 22:15:04 - mmengine - INFO - Epoch(train) [37][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:47:05 time: 0.2605 data_time: 0.0344 memory: 2049 grad_norm: 3.0279 loss: 4.5763 loss_cls: 2.9494 loss_bbox: 1.6270 2024/10/26 22:15:18 - mmengine - INFO - Epoch(train) [37][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:47:00 time: 0.2846 data_time: 0.0542 memory: 2049 grad_norm: 3.4741 loss: 4.6475 loss_cls: 3.0196 loss_bbox: 1.6280 2024/10/26 22:15:31 - mmengine - INFO - Epoch(train) [37][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:46:49 time: 0.2570 data_time: 0.0276 memory: 2049 grad_norm: 3.4132 loss: 4.6820 loss_cls: 3.0412 loss_bbox: 1.6408 2024/10/26 22:15:43 - mmengine - INFO - Epoch(train) [37][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:46:36 time: 0.2495 data_time: 0.0309 memory: 2049 grad_norm: 3.2426 loss: 4.5832 loss_cls: 3.0124 loss_bbox: 1.5708 2024/10/26 22:15:57 - mmengine - INFO - Epoch(train) [37][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:46:27 time: 0.2675 data_time: 0.0283 memory: 2049 grad_norm: 3.1585 loss: 4.6878 loss_cls: 3.0620 loss_bbox: 1.6258 2024/10/26 22:16:09 - mmengine - INFO - Epoch(train) [37][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:46:13 time: 0.2452 data_time: 0.0270 memory: 2049 grad_norm: 3.3377 loss: 4.6140 loss_cls: 2.9816 loss_bbox: 1.6324 2024/10/26 22:16:22 - mmengine - INFO - Epoch(train) [37][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:46:03 time: 0.2594 data_time: 0.0288 memory: 2049 grad_norm: 3.2167 loss: 4.6292 loss_cls: 3.0188 loss_bbox: 1.6103 2024/10/26 22:16:34 - mmengine - INFO - Epoch(train) [37][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:45:51 time: 0.2523 data_time: 0.0290 memory: 2049 grad_norm: 3.0666 loss: 4.6755 loss_cls: 3.0337 loss_bbox: 1.6418 2024/10/26 22:16:47 - mmengine - INFO - Epoch(train) [37][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:45:39 time: 0.2538 data_time: 0.0340 memory: 2049 grad_norm: 3.1614 loss: 4.6937 loss_cls: 3.0430 loss_bbox: 1.6507 2024/10/26 22:17:00 - mmengine - INFO - Epoch(train) [37][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:45:27 time: 0.2541 data_time: 0.0235 memory: 2049 grad_norm: 3.3007 loss: 4.7542 loss_cls: 3.0712 loss_bbox: 1.6830 2024/10/26 22:17:12 - mmengine - INFO - Epoch(train) [37][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:45:11 time: 0.2372 data_time: 0.0238 memory: 2049 grad_norm: 3.3082 loss: 4.6139 loss_cls: 2.9860 loss_bbox: 1.6278 2024/10/26 22:17:24 - mmengine - INFO - Epoch(train) [37][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:44:59 time: 0.2528 data_time: 0.0225 memory: 2049 grad_norm: 3.1414 loss: 4.6736 loss_cls: 3.0624 loss_bbox: 1.6112 2024/10/26 22:17:37 - mmengine - INFO - Epoch(train) [37][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:44:47 time: 0.2533 data_time: 0.0276 memory: 2049 grad_norm: 3.0727 loss: 4.6400 loss_cls: 2.9793 loss_bbox: 1.6608 2024/10/26 22:17:50 - mmengine - INFO - Epoch(train) [37][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:44:35 time: 0.2514 data_time: 0.0215 memory: 2049 grad_norm: 3.1009 loss: 4.6855 loss_cls: 3.0679 loss_bbox: 1.6176 2024/10/26 22:18:02 - mmengine - INFO - Epoch(train) [37][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:44:23 time: 0.2555 data_time: 0.0206 memory: 2049 grad_norm: 3.2350 loss: 4.6561 loss_cls: 3.0035 loss_bbox: 1.6527 2024/10/26 22:18:17 - mmengine - INFO - Epoch(train) [37][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:44:20 time: 0.2913 data_time: 0.0668 memory: 2049 grad_norm: 3.1557 loss: 4.6995 loss_cls: 3.0328 loss_bbox: 1.6668 2024/10/26 22:18:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:18:30 - mmengine - INFO - Epoch(train) [37][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:44:08 time: 0.2551 data_time: 0.0229 memory: 2049 grad_norm: 3.1474 loss: 4.6246 loss_cls: 3.0206 loss_bbox: 1.6040 2024/10/26 22:18:43 - mmengine - INFO - Epoch(train) [37][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:43:59 time: 0.2662 data_time: 0.0214 memory: 2049 grad_norm: 3.3947 loss: 4.5773 loss_cls: 3.0111 loss_bbox: 1.5662 2024/10/26 22:18:56 - mmengine - INFO - Epoch(train) [37][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:43:48 time: 0.2585 data_time: 0.0230 memory: 2049 grad_norm: 3.2758 loss: 4.6241 loss_cls: 3.0001 loss_bbox: 1.6240 2024/10/26 22:19:09 - mmengine - INFO - Epoch(train) [37][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:43:39 time: 0.2665 data_time: 0.0233 memory: 2049 grad_norm: 3.2211 loss: 4.5482 loss_cls: 2.9892 loss_bbox: 1.5590 2024/10/26 22:19:21 - mmengine - INFO - Epoch(train) [37][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:43:24 time: 0.2426 data_time: 0.0211 memory: 2049 grad_norm: 3.2306 loss: 4.6171 loss_cls: 2.9685 loss_bbox: 1.6486 2024/10/26 22:19:34 - mmengine - INFO - Epoch(train) [37][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:43:14 time: 0.2585 data_time: 0.0219 memory: 2049 grad_norm: 3.1563 loss: 4.5561 loss_cls: 2.9510 loss_bbox: 1.6051 2024/10/26 22:19:47 - mmengine - INFO - Epoch(train) [37][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:43:04 time: 0.2623 data_time: 0.0251 memory: 2049 grad_norm: 3.0416 loss: 4.5794 loss_cls: 2.9711 loss_bbox: 1.6084 2024/10/26 22:20:00 - mmengine - INFO - Epoch(train) [37][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:42:53 time: 0.2588 data_time: 0.0316 memory: 2049 grad_norm: 3.1051 loss: 4.7208 loss_cls: 3.0345 loss_bbox: 1.6864 2024/10/26 22:20:17 - mmengine - INFO - Epoch(train) [37][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:42:59 time: 0.3379 data_time: 0.0953 memory: 2049 grad_norm: 3.3514 loss: 4.6669 loss_cls: 3.0587 loss_bbox: 1.6082 2024/10/26 22:20:29 - mmengine - INFO - Epoch(train) [37][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:42:45 time: 0.2440 data_time: 0.0264 memory: 2049 grad_norm: 3.1474 loss: 4.5397 loss_cls: 2.9658 loss_bbox: 1.5739 2024/10/26 22:20:43 - mmengine - INFO - Epoch(train) [37][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:42:37 time: 0.2686 data_time: 0.0276 memory: 2049 grad_norm: 2.9917 loss: 4.7529 loss_cls: 3.0826 loss_bbox: 1.6704 2024/10/26 22:20:56 - mmengine - INFO - Epoch(train) [37][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:42:25 time: 0.2570 data_time: 0.0320 memory: 2049 grad_norm: 3.4371 loss: 4.5881 loss_cls: 2.9630 loss_bbox: 1.6251 2024/10/26 22:21:08 - mmengine - INFO - Epoch(train) [37][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:42:11 time: 0.2429 data_time: 0.0221 memory: 2049 grad_norm: 3.0064 loss: 4.6326 loss_cls: 3.0337 loss_bbox: 1.5989 2024/10/26 22:21:20 - mmengine - INFO - Epoch(train) [37][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:41:58 time: 0.2498 data_time: 0.0279 memory: 2049 grad_norm: 3.2122 loss: 4.6763 loss_cls: 3.0495 loss_bbox: 1.6269 2024/10/26 22:21:33 - mmengine - INFO - Epoch(train) [37][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:41:44 time: 0.2458 data_time: 0.0235 memory: 2049 grad_norm: 3.0755 loss: 4.6433 loss_cls: 3.0120 loss_bbox: 1.6314 2024/10/26 22:21:45 - mmengine - INFO - Epoch(train) [37][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:41:30 time: 0.2434 data_time: 0.0242 memory: 2049 grad_norm: 3.3554 loss: 4.7498 loss_cls: 3.0704 loss_bbox: 1.6794 2024/10/26 22:21:57 - mmengine - INFO - Epoch(train) [37][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:41:16 time: 0.2428 data_time: 0.0229 memory: 2049 grad_norm: 3.3669 loss: 4.6611 loss_cls: 3.0405 loss_bbox: 1.6206 2024/10/26 22:22:09 - mmengine - INFO - Epoch(train) [37][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:41:02 time: 0.2443 data_time: 0.0226 memory: 2049 grad_norm: 3.1982 loss: 4.5792 loss_cls: 3.0063 loss_bbox: 1.5729 2024/10/26 22:22:22 - mmengine - INFO - Epoch(train) [37][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:40:50 time: 0.2558 data_time: 0.0232 memory: 2049 grad_norm: 3.2680 loss: 4.6894 loss_cls: 3.0137 loss_bbox: 1.6757 2024/10/26 22:22:34 - mmengine - INFO - Epoch(train) [37][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:40:35 time: 0.2383 data_time: 0.0220 memory: 2049 grad_norm: 3.0523 loss: 4.6671 loss_cls: 3.0690 loss_bbox: 1.5981 2024/10/26 22:22:35 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:22:35 - mmengine - INFO - Saving checkpoint at 37 epochs 2024/10/26 22:22:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:22:50 - mmengine - INFO - Epoch(train) [38][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:40:22 time: 0.2532 data_time: 0.0350 memory: 2049 grad_norm: 2.9784 loss: 4.7112 loss_cls: 3.0620 loss_bbox: 1.6491 2024/10/26 22:23:02 - mmengine - INFO - Epoch(train) [38][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:40:06 time: 0.2334 data_time: 0.0281 memory: 2049 grad_norm: 3.0854 loss: 4.7319 loss_cls: 3.0412 loss_bbox: 1.6907 2024/10/26 22:23:17 - mmengine - INFO - Epoch(train) [38][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:40:04 time: 0.3002 data_time: 0.0867 memory: 2049 grad_norm: 3.2328 loss: 4.5642 loss_cls: 2.9721 loss_bbox: 1.5920 2024/10/26 22:23:29 - mmengine - INFO - Epoch(train) [38][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:39:49 time: 0.2413 data_time: 0.0284 memory: 2049 grad_norm: 3.1350 loss: 4.7070 loss_cls: 3.0500 loss_bbox: 1.6570 2024/10/26 22:23:42 - mmengine - INFO - Epoch(train) [38][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:39:37 time: 0.2521 data_time: 0.0355 memory: 2049 grad_norm: 3.2137 loss: 4.6262 loss_cls: 2.9680 loss_bbox: 1.6583 2024/10/26 22:23:53 - mmengine - INFO - Epoch(train) [38][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:39:20 time: 0.2317 data_time: 0.0244 memory: 2049 grad_norm: 3.0416 loss: 4.6247 loss_cls: 3.0032 loss_bbox: 1.6215 2024/10/26 22:24:06 - mmengine - INFO - Epoch(train) [38][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:39:08 time: 0.2515 data_time: 0.0352 memory: 2049 grad_norm: 3.2077 loss: 4.6299 loss_cls: 3.0134 loss_bbox: 1.6165 2024/10/26 22:24:18 - mmengine - INFO - Epoch(train) [38][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:38:54 time: 0.2457 data_time: 0.0304 memory: 2049 grad_norm: 3.1645 loss: 4.6503 loss_cls: 3.0400 loss_bbox: 1.6103 2024/10/26 22:24:30 - mmengine - INFO - Epoch(train) [38][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:38:38 time: 0.2380 data_time: 0.0234 memory: 2049 grad_norm: 3.3489 loss: 4.6226 loss_cls: 3.0095 loss_bbox: 1.6131 2024/10/26 22:24:42 - mmengine - INFO - Epoch(train) [38][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:38:25 time: 0.2480 data_time: 0.0230 memory: 2049 grad_norm: 3.1400 loss: 4.6397 loss_cls: 3.0101 loss_bbox: 1.6296 2024/10/26 22:24:54 - mmengine - INFO - Epoch(train) [38][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:38:10 time: 0.2386 data_time: 0.0237 memory: 2049 grad_norm: 2.9511 loss: 4.7048 loss_cls: 3.0490 loss_bbox: 1.6558 2024/10/26 22:25:06 - mmengine - INFO - Epoch(train) [38][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:37:56 time: 0.2420 data_time: 0.0249 memory: 2049 grad_norm: 3.1807 loss: 4.5850 loss_cls: 2.9862 loss_bbox: 1.5988 2024/10/26 22:25:19 - mmengine - INFO - Epoch(train) [38][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:37:44 time: 0.2557 data_time: 0.0298 memory: 2049 grad_norm: 3.2379 loss: 4.6139 loss_cls: 2.9773 loss_bbox: 1.6366 2024/10/26 22:25:32 - mmengine - INFO - Epoch(train) [38][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:37:32 time: 0.2554 data_time: 0.0322 memory: 2049 grad_norm: 3.2503 loss: 4.6414 loss_cls: 3.0081 loss_bbox: 1.6333 2024/10/26 22:25:44 - mmengine - INFO - Epoch(train) [38][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:37:20 time: 0.2506 data_time: 0.0247 memory: 2049 grad_norm: 3.3922 loss: 4.6275 loss_cls: 3.0096 loss_bbox: 1.6179 2024/10/26 22:25:57 - mmengine - INFO - Epoch(train) [38][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:37:08 time: 0.2568 data_time: 0.0258 memory: 2049 grad_norm: 3.2729 loss: 4.6353 loss_cls: 3.0048 loss_bbox: 1.6306 2024/10/26 22:26:10 - mmengine - INFO - Epoch(train) [38][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:36:57 time: 0.2571 data_time: 0.0292 memory: 2049 grad_norm: 3.3303 loss: 4.6127 loss_cls: 2.9816 loss_bbox: 1.6311 2024/10/26 22:26:23 - mmengine - INFO - Epoch(train) [38][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:36:46 time: 0.2590 data_time: 0.0277 memory: 2049 grad_norm: 3.3949 loss: 4.5562 loss_cls: 2.9747 loss_bbox: 1.5814 2024/10/26 22:26:36 - mmengine - INFO - Epoch(train) [38][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:36:35 time: 0.2549 data_time: 0.0272 memory: 2049 grad_norm: 3.2327 loss: 4.6736 loss_cls: 3.0158 loss_bbox: 1.6578 2024/10/26 22:26:49 - mmengine - INFO - Epoch(train) [38][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:36:24 time: 0.2579 data_time: 0.0256 memory: 2049 grad_norm: 3.0893 loss: 4.6030 loss_cls: 2.9943 loss_bbox: 1.6087 2024/10/26 22:26:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:27:01 - mmengine - INFO - Epoch(train) [38][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:36:10 time: 0.2480 data_time: 0.0273 memory: 2049 grad_norm: 3.2742 loss: 4.6471 loss_cls: 3.0169 loss_bbox: 1.6303 2024/10/26 22:27:14 - mmengine - INFO - Epoch(train) [38][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:35:58 time: 0.2518 data_time: 0.0372 memory: 2049 grad_norm: 2.9536 loss: 4.5999 loss_cls: 2.9852 loss_bbox: 1.6147 2024/10/26 22:27:27 - mmengine - INFO - Epoch(train) [38][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:35:49 time: 0.2676 data_time: 0.0368 memory: 2049 grad_norm: 3.1922 loss: 4.7448 loss_cls: 3.0492 loss_bbox: 1.6956 2024/10/26 22:27:40 - mmengine - INFO - Epoch(train) [38][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:35:37 time: 0.2543 data_time: 0.0309 memory: 2049 grad_norm: 3.2028 loss: 4.6506 loss_cls: 3.0614 loss_bbox: 1.5892 2024/10/26 22:27:53 - mmengine - INFO - Epoch(train) [38][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:35:27 time: 0.2605 data_time: 0.0296 memory: 2049 grad_norm: 3.1623 loss: 4.6134 loss_cls: 2.9937 loss_bbox: 1.6197 2024/10/26 22:28:06 - mmengine - INFO - Epoch(train) [38][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:35:17 time: 0.2638 data_time: 0.0260 memory: 2049 grad_norm: 3.0368 loss: 4.7078 loss_cls: 3.0489 loss_bbox: 1.6589 2024/10/26 22:28:19 - mmengine - INFO - Epoch(train) [38][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:35:05 time: 0.2552 data_time: 0.0328 memory: 2049 grad_norm: 3.0442 loss: 4.7369 loss_cls: 3.0779 loss_bbox: 1.6590 2024/10/26 22:28:32 - mmengine - INFO - Epoch(train) [38][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:34:56 time: 0.2679 data_time: 0.0244 memory: 2049 grad_norm: 3.4062 loss: 4.6866 loss_cls: 3.0311 loss_bbox: 1.6555 2024/10/26 22:28:45 - mmengine - INFO - Epoch(train) [38][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:34:45 time: 0.2600 data_time: 0.0269 memory: 2049 grad_norm: 3.2148 loss: 4.6068 loss_cls: 2.9833 loss_bbox: 1.6235 2024/10/26 22:28:59 - mmengine - INFO - Epoch(train) [38][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:34:36 time: 0.2643 data_time: 0.0390 memory: 2049 grad_norm: 3.0598 loss: 4.6974 loss_cls: 2.9949 loss_bbox: 1.7026 2024/10/26 22:29:11 - mmengine - INFO - Epoch(train) [38][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:34:24 time: 0.2560 data_time: 0.0256 memory: 2049 grad_norm: 3.1015 loss: 4.6152 loss_cls: 3.0020 loss_bbox: 1.6132 2024/10/26 22:29:24 - mmengine - INFO - Epoch(train) [38][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:34:12 time: 0.2546 data_time: 0.0316 memory: 2049 grad_norm: 3.2906 loss: 4.6126 loss_cls: 3.0046 loss_bbox: 1.6080 2024/10/26 22:29:37 - mmengine - INFO - Epoch(train) [38][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:34:01 time: 0.2587 data_time: 0.0277 memory: 2049 grad_norm: 3.2734 loss: 4.7613 loss_cls: 3.0519 loss_bbox: 1.7094 2024/10/26 22:29:50 - mmengine - INFO - Epoch(train) [38][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:33:50 time: 0.2549 data_time: 0.0256 memory: 2049 grad_norm: 3.0982 loss: 4.5001 loss_cls: 2.9479 loss_bbox: 1.5522 2024/10/26 22:30:03 - mmengine - INFO - Epoch(train) [38][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:33:39 time: 0.2599 data_time: 0.0257 memory: 2049 grad_norm: 3.1633 loss: 4.6474 loss_cls: 3.0100 loss_bbox: 1.6374 2024/10/26 22:30:18 - mmengine - INFO - Epoch(train) [38][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:33:36 time: 0.2972 data_time: 0.0633 memory: 2049 grad_norm: 3.3675 loss: 4.6526 loss_cls: 3.0224 loss_bbox: 1.6302 2024/10/26 22:30:31 - mmengine - INFO - Epoch(train) [38][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:33:25 time: 0.2587 data_time: 0.0407 memory: 2049 grad_norm: 3.1510 loss: 4.6590 loss_cls: 3.0416 loss_bbox: 1.6174 2024/10/26 22:30:44 - mmengine - INFO - Epoch(train) [38][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:33:14 time: 0.2601 data_time: 0.0259 memory: 2049 grad_norm: 3.1242 loss: 4.6455 loss_cls: 2.9744 loss_bbox: 1.6710 2024/10/26 22:30:56 - mmengine - INFO - Epoch(train) [38][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:33:03 time: 0.2576 data_time: 0.0241 memory: 2049 grad_norm: 3.1329 loss: 4.6247 loss_cls: 3.0141 loss_bbox: 1.6105 2024/10/26 22:31:09 - mmengine - INFO - Epoch(train) [38][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:32:52 time: 0.2590 data_time: 0.0245 memory: 2049 grad_norm: 3.1424 loss: 4.6504 loss_cls: 3.0235 loss_bbox: 1.6268 2024/10/26 22:31:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:31:23 - mmengine - INFO - Epoch(train) [38][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:32:42 time: 0.2618 data_time: 0.0247 memory: 2049 grad_norm: 3.1802 loss: 4.6627 loss_cls: 3.0100 loss_bbox: 1.6527 2024/10/26 22:31:35 - mmengine - INFO - Epoch(train) [38][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:32:29 time: 0.2509 data_time: 0.0359 memory: 2049 grad_norm: 3.1319 loss: 4.6758 loss_cls: 3.0401 loss_bbox: 1.6356 2024/10/26 22:31:48 - mmengine - INFO - Epoch(train) [38][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:32:18 time: 0.2581 data_time: 0.0248 memory: 2049 grad_norm: 3.4091 loss: 4.6535 loss_cls: 3.0193 loss_bbox: 1.6342 2024/10/26 22:32:01 - mmengine - INFO - Epoch(train) [38][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:32:05 time: 0.2504 data_time: 0.0251 memory: 2049 grad_norm: 3.0994 loss: 4.6472 loss_cls: 3.0297 loss_bbox: 1.6175 2024/10/26 22:32:13 - mmengine - INFO - Epoch(train) [38][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:31:54 time: 0.2560 data_time: 0.0253 memory: 2049 grad_norm: 3.1121 loss: 4.7000 loss_cls: 3.0531 loss_bbox: 1.6469 2024/10/26 22:32:26 - mmengine - INFO - Epoch(train) [38][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:31:42 time: 0.2550 data_time: 0.0247 memory: 2049 grad_norm: 3.3989 loss: 4.6276 loss_cls: 3.0317 loss_bbox: 1.5959 2024/10/26 22:32:39 - mmengine - INFO - Epoch(train) [38][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:31:30 time: 0.2528 data_time: 0.0335 memory: 2049 grad_norm: 3.2134 loss: 4.7105 loss_cls: 3.0149 loss_bbox: 1.6956 2024/10/26 22:32:52 - mmengine - INFO - Epoch(train) [38][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:31:19 time: 0.2623 data_time: 0.0265 memory: 2049 grad_norm: 3.2433 loss: 4.6518 loss_cls: 3.0110 loss_bbox: 1.6407 2024/10/26 22:33:04 - mmengine - INFO - Epoch(train) [38][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:31:07 time: 0.2517 data_time: 0.0248 memory: 2049 grad_norm: 3.2779 loss: 4.6785 loss_cls: 3.0466 loss_bbox: 1.6318 2024/10/26 22:33:18 - mmengine - INFO - Epoch(train) [38][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:30:57 time: 0.2643 data_time: 0.0374 memory: 2049 grad_norm: 3.4335 loss: 4.6077 loss_cls: 2.9835 loss_bbox: 1.6242 2024/10/26 22:33:31 - mmengine - INFO - Epoch(train) [38][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:30:49 time: 0.2712 data_time: 0.0307 memory: 2049 grad_norm: 3.0487 loss: 4.5547 loss_cls: 3.0031 loss_bbox: 1.5516 2024/10/26 22:33:45 - mmengine - INFO - Epoch(train) [38][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:30:39 time: 0.2657 data_time: 0.0322 memory: 2049 grad_norm: 3.2840 loss: 4.6293 loss_cls: 3.0417 loss_bbox: 1.5876 2024/10/26 22:33:57 - mmengine - INFO - Epoch(train) [38][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:30:28 time: 0.2566 data_time: 0.0242 memory: 2049 grad_norm: 3.2005 loss: 4.5929 loss_cls: 2.9905 loss_bbox: 1.6024 2024/10/26 22:34:10 - mmengine - INFO - Epoch(train) [38][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:30:16 time: 0.2578 data_time: 0.0248 memory: 2049 grad_norm: 3.0149 loss: 4.6779 loss_cls: 3.0637 loss_bbox: 1.6142 2024/10/26 22:34:23 - mmengine - INFO - Epoch(train) [38][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:30:05 time: 0.2544 data_time: 0.0249 memory: 2049 grad_norm: 3.0876 loss: 4.7608 loss_cls: 3.1004 loss_bbox: 1.6605 2024/10/26 22:34:36 - mmengine - INFO - Epoch(train) [38][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:29:53 time: 0.2576 data_time: 0.0225 memory: 2049 grad_norm: 3.3820 loss: 4.5139 loss_cls: 2.9526 loss_bbox: 1.5613 2024/10/26 22:34:48 - mmengine - INFO - Epoch(train) [38][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:29:39 time: 0.2450 data_time: 0.0280 memory: 2049 grad_norm: 3.1781 loss: 4.5500 loss_cls: 2.9660 loss_bbox: 1.5840 2024/10/26 22:35:01 - mmengine - INFO - Epoch(train) [38][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:29:27 time: 0.2537 data_time: 0.0218 memory: 2049 grad_norm: 3.1918 loss: 4.6842 loss_cls: 3.0576 loss_bbox: 1.6266 2024/10/26 22:35:14 - mmengine - INFO - Epoch(train) [38][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:29:16 time: 0.2563 data_time: 0.0209 memory: 2049 grad_norm: 3.2272 loss: 4.6413 loss_cls: 3.0091 loss_bbox: 1.6321 2024/10/26 22:35:26 - mmengine - INFO - Epoch(train) [38][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:29:02 time: 0.2449 data_time: 0.0227 memory: 2049 grad_norm: 3.1744 loss: 4.6377 loss_cls: 3.0026 loss_bbox: 1.6351 2024/10/26 22:35:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:35:39 - mmengine - INFO - Epoch(train) [38][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:28:53 time: 0.2682 data_time: 0.0204 memory: 2049 grad_norm: 3.3356 loss: 4.7425 loss_cls: 3.0963 loss_bbox: 1.6462 2024/10/26 22:35:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:35:40 - mmengine - INFO - Saving checkpoint at 38 epochs 2024/10/26 22:35:56 - mmengine - INFO - Epoch(train) [39][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:28:38 time: 0.2489 data_time: 0.0494 memory: 2049 grad_norm: 3.2391 loss: 4.5456 loss_cls: 2.9856 loss_bbox: 1.5600 2024/10/26 22:36:07 - mmengine - INFO - Epoch(train) [39][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:28:22 time: 0.2360 data_time: 0.0300 memory: 2049 grad_norm: 3.0642 loss: 4.6374 loss_cls: 2.9851 loss_bbox: 1.6523 2024/10/26 22:36:20 - mmengine - INFO - Epoch(train) [39][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:28:09 time: 0.2499 data_time: 0.0315 memory: 2049 grad_norm: 2.9074 loss: 4.5932 loss_cls: 2.9783 loss_bbox: 1.6149 2024/10/26 22:36:32 - mmengine - INFO - Epoch(train) [39][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:27:54 time: 0.2389 data_time: 0.0388 memory: 2049 grad_norm: 3.1525 loss: 4.7099 loss_cls: 3.0392 loss_bbox: 1.6706 2024/10/26 22:36:44 - mmengine - INFO - Epoch(train) [39][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:27:40 time: 0.2404 data_time: 0.0275 memory: 2049 grad_norm: 3.0684 loss: 4.7729 loss_cls: 3.1064 loss_bbox: 1.6665 2024/10/26 22:36:55 - mmengine - INFO - Epoch(train) [39][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:27:22 time: 0.2285 data_time: 0.0335 memory: 2049 grad_norm: 3.2469 loss: 4.5960 loss_cls: 2.9913 loss_bbox: 1.6047 2024/10/26 22:37:08 - mmengine - INFO - Epoch(train) [39][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:27:09 time: 0.2485 data_time: 0.0370 memory: 2049 grad_norm: 3.2729 loss: 4.6895 loss_cls: 3.0287 loss_bbox: 1.6608 2024/10/26 22:37:20 - mmengine - INFO - Epoch(train) [39][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:26:56 time: 0.2487 data_time: 0.0270 memory: 2049 grad_norm: 3.2396 loss: 4.6889 loss_cls: 3.0458 loss_bbox: 1.6432 2024/10/26 22:37:32 - mmengine - INFO - Epoch(train) [39][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:26:41 time: 0.2393 data_time: 0.0281 memory: 2049 grad_norm: 3.2992 loss: 4.5918 loss_cls: 2.9978 loss_bbox: 1.5939 2024/10/26 22:37:44 - mmengine - INFO - Epoch(train) [39][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:26:27 time: 0.2437 data_time: 0.0286 memory: 2049 grad_norm: 3.1375 loss: 4.5797 loss_cls: 3.0247 loss_bbox: 1.5550 2024/10/26 22:37:56 - mmengine - INFO - Epoch(train) [39][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:26:11 time: 0.2343 data_time: 0.0297 memory: 2049 grad_norm: 3.2823 loss: 4.6791 loss_cls: 3.0672 loss_bbox: 1.6118 2024/10/26 22:38:09 - mmengine - INFO - Epoch(train) [39][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:25:58 time: 0.2502 data_time: 0.0359 memory: 2049 grad_norm: 3.0670 loss: 4.5854 loss_cls: 2.9879 loss_bbox: 1.5975 2024/10/26 22:38:21 - mmengine - INFO - Epoch(train) [39][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:25:44 time: 0.2422 data_time: 0.0309 memory: 2049 grad_norm: 3.1693 loss: 4.6717 loss_cls: 3.0263 loss_bbox: 1.6454 2024/10/26 22:38:33 - mmengine - INFO - Epoch(train) [39][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:25:32 time: 0.2526 data_time: 0.0351 memory: 2049 grad_norm: 3.0962 loss: 4.6686 loss_cls: 3.0137 loss_bbox: 1.6548 2024/10/26 22:38:46 - mmengine - INFO - Epoch(train) [39][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:25:17 time: 0.2420 data_time: 0.0262 memory: 2049 grad_norm: 3.1778 loss: 4.5517 loss_cls: 2.9480 loss_bbox: 1.6037 2024/10/26 22:38:58 - mmengine - INFO - Epoch(train) [39][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:25:03 time: 0.2431 data_time: 0.0263 memory: 2049 grad_norm: 3.0968 loss: 4.6703 loss_cls: 3.0859 loss_bbox: 1.5843 2024/10/26 22:39:10 - mmengine - INFO - Epoch(train) [39][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:24:51 time: 0.2511 data_time: 0.0367 memory: 2049 grad_norm: 3.4295 loss: 4.5961 loss_cls: 2.9900 loss_bbox: 1.6061 2024/10/26 22:39:23 - mmengine - INFO - Epoch(train) [39][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:24:37 time: 0.2462 data_time: 0.0276 memory: 2049 grad_norm: 3.0654 loss: 4.6548 loss_cls: 3.0340 loss_bbox: 1.6208 2024/10/26 22:39:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:39:35 - mmengine - INFO - Epoch(train) [39][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:24:24 time: 0.2499 data_time: 0.0357 memory: 2049 grad_norm: 2.9997 loss: 4.6243 loss_cls: 2.9932 loss_bbox: 1.6310 2024/10/26 22:39:47 - mmengine - INFO - Epoch(train) [39][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:24:09 time: 0.2398 data_time: 0.0320 memory: 2049 grad_norm: 3.0644 loss: 4.6379 loss_cls: 3.0170 loss_bbox: 1.6210 2024/10/26 22:39:59 - mmengine - INFO - Epoch(train) [39][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:23:56 time: 0.2455 data_time: 0.0396 memory: 2049 grad_norm: 3.0158 loss: 4.6781 loss_cls: 3.0238 loss_bbox: 1.6543 2024/10/26 22:40:12 - mmengine - INFO - Epoch(train) [39][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:23:42 time: 0.2481 data_time: 0.0301 memory: 2049 grad_norm: 3.2460 loss: 4.5757 loss_cls: 2.9885 loss_bbox: 1.5872 2024/10/26 22:40:24 - mmengine - INFO - Epoch(train) [39][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:23:28 time: 0.2421 data_time: 0.0240 memory: 2049 grad_norm: 3.0193 loss: 4.6402 loss_cls: 3.0316 loss_bbox: 1.6086 2024/10/26 22:40:36 - mmengine - INFO - Epoch(train) [39][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:23:14 time: 0.2428 data_time: 0.0304 memory: 2049 grad_norm: 3.1138 loss: 4.5796 loss_cls: 3.0019 loss_bbox: 1.5777 2024/10/26 22:40:48 - mmengine - INFO - Epoch(train) [39][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:22:59 time: 0.2379 data_time: 0.0254 memory: 2049 grad_norm: 3.1608 loss: 4.5953 loss_cls: 3.0000 loss_bbox: 1.5953 2024/10/26 22:41:00 - mmengine - INFO - Epoch(train) [39][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:22:42 time: 0.2321 data_time: 0.0284 memory: 2049 grad_norm: 3.3366 loss: 4.4678 loss_cls: 2.9268 loss_bbox: 1.5410 2024/10/26 22:41:12 - mmengine - INFO - Epoch(train) [39][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:22:28 time: 0.2451 data_time: 0.0241 memory: 2049 grad_norm: 3.1073 loss: 4.6566 loss_cls: 3.0134 loss_bbox: 1.6433 2024/10/26 22:41:24 - mmengine - INFO - Epoch(train) [39][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:22:14 time: 0.2411 data_time: 0.0242 memory: 2049 grad_norm: 3.3273 loss: 4.6996 loss_cls: 3.0207 loss_bbox: 1.6789 2024/10/26 22:41:37 - mmengine - INFO - Epoch(train) [39][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:22:02 time: 0.2558 data_time: 0.0307 memory: 2049 grad_norm: 3.1862 loss: 4.5016 loss_cls: 2.9461 loss_bbox: 1.5555 2024/10/26 22:41:49 - mmengine - INFO - Epoch(train) [39][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:21:47 time: 0.2398 data_time: 0.0231 memory: 2049 grad_norm: 3.1229 loss: 4.5967 loss_cls: 2.9983 loss_bbox: 1.5983 2024/10/26 22:42:01 - mmengine - INFO - Epoch(train) [39][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:21:35 time: 0.2509 data_time: 0.0269 memory: 2049 grad_norm: 3.2399 loss: 4.6305 loss_cls: 2.9962 loss_bbox: 1.6343 2024/10/26 22:42:14 - mmengine - INFO - Epoch(train) [39][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:21:22 time: 0.2515 data_time: 0.0264 memory: 2049 grad_norm: 3.1163 loss: 4.6195 loss_cls: 3.0192 loss_bbox: 1.6003 2024/10/26 22:42:26 - mmengine - INFO - Epoch(train) [39][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:21:08 time: 0.2438 data_time: 0.0228 memory: 2049 grad_norm: 3.3286 loss: 4.6698 loss_cls: 3.0313 loss_bbox: 1.6384 2024/10/26 22:42:38 - mmengine - INFO - Epoch(train) [39][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:20:56 time: 0.2504 data_time: 0.0230 memory: 2049 grad_norm: 3.1870 loss: 4.6826 loss_cls: 3.0395 loss_bbox: 1.6430 2024/10/26 22:42:50 - mmengine - INFO - Epoch(train) [39][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:20:39 time: 0.2320 data_time: 0.0238 memory: 2049 grad_norm: 3.0843 loss: 4.6594 loss_cls: 2.9961 loss_bbox: 1.6633 2024/10/26 22:43:02 - mmengine - INFO - Epoch(train) [39][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:20:26 time: 0.2455 data_time: 0.0256 memory: 2049 grad_norm: 3.1220 loss: 4.6457 loss_cls: 3.0054 loss_bbox: 1.6403 2024/10/26 22:43:18 - mmengine - INFO - Epoch(train) [39][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:20:24 time: 0.3075 data_time: 0.0841 memory: 2049 grad_norm: 3.1481 loss: 4.6803 loss_cls: 3.0556 loss_bbox: 1.6248 2024/10/26 22:43:30 - mmengine - INFO - Epoch(train) [39][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:20:10 time: 0.2424 data_time: 0.0244 memory: 2049 grad_norm: 3.3434 loss: 4.5900 loss_cls: 2.9992 loss_bbox: 1.5908 2024/10/26 22:43:41 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:43:42 - mmengine - INFO - Epoch(train) [39][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:19:55 time: 0.2375 data_time: 0.0244 memory: 2049 grad_norm: 3.0971 loss: 4.5941 loss_cls: 3.0101 loss_bbox: 1.5840 2024/10/26 22:43:54 - mmengine - INFO - Epoch(train) [39][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:19:40 time: 0.2378 data_time: 0.0237 memory: 2049 grad_norm: 3.1028 loss: 4.6918 loss_cls: 3.0341 loss_bbox: 1.6577 2024/10/26 22:44:06 - mmengine - INFO - Epoch(train) [39][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:19:27 time: 0.2499 data_time: 0.0251 memory: 2049 grad_norm: 3.0907 loss: 4.5849 loss_cls: 3.0045 loss_bbox: 1.5804 2024/10/26 22:44:19 - mmengine - INFO - Epoch(train) [39][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:19:14 time: 0.2514 data_time: 0.0238 memory: 2049 grad_norm: 3.3120 loss: 4.5722 loss_cls: 2.9781 loss_bbox: 1.5942 2024/10/26 22:44:31 - mmengine - INFO - Epoch(train) [39][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:19:00 time: 0.2433 data_time: 0.0232 memory: 2049 grad_norm: 3.2772 loss: 4.6496 loss_cls: 2.9959 loss_bbox: 1.6537 2024/10/26 22:44:43 - mmengine - INFO - Epoch(train) [39][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:18:46 time: 0.2411 data_time: 0.0233 memory: 2049 grad_norm: 3.1076 loss: 4.6196 loss_cls: 3.0246 loss_bbox: 1.5950 2024/10/26 22:44:55 - mmengine - INFO - Epoch(train) [39][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:18:33 time: 0.2494 data_time: 0.0228 memory: 2049 grad_norm: 3.1382 loss: 4.7323 loss_cls: 3.0762 loss_bbox: 1.6562 2024/10/26 22:45:08 - mmengine - INFO - Epoch(train) [39][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:18:21 time: 0.2553 data_time: 0.0219 memory: 2049 grad_norm: 3.3882 loss: 4.5557 loss_cls: 2.9868 loss_bbox: 1.5689 2024/10/26 22:45:20 - mmengine - INFO - Epoch(train) [39][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:18:07 time: 0.2435 data_time: 0.0222 memory: 2049 grad_norm: 3.1063 loss: 4.6839 loss_cls: 3.0537 loss_bbox: 1.6302 2024/10/26 22:45:33 - mmengine - INFO - Epoch(train) [39][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:17:54 time: 0.2461 data_time: 0.0240 memory: 2049 grad_norm: 3.2752 loss: 4.5685 loss_cls: 2.9934 loss_bbox: 1.5750 2024/10/26 22:45:45 - mmengine - INFO - Epoch(train) [39][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:17:41 time: 0.2526 data_time: 0.0222 memory: 2049 grad_norm: 3.1211 loss: 4.6950 loss_cls: 3.0152 loss_bbox: 1.6798 2024/10/26 22:45:57 - mmengine - INFO - Epoch(train) [39][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:17:27 time: 0.2425 data_time: 0.0221 memory: 2049 grad_norm: 3.1001 loss: 4.8111 loss_cls: 3.1175 loss_bbox: 1.6936 2024/10/26 22:46:10 - mmengine - INFO - Epoch(train) [39][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:17:16 time: 0.2600 data_time: 0.0227 memory: 2049 grad_norm: 3.1379 loss: 4.6588 loss_cls: 3.0299 loss_bbox: 1.6289 2024/10/26 22:46:23 - mmengine - INFO - Epoch(train) [39][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:17:02 time: 0.2431 data_time: 0.0228 memory: 2049 grad_norm: 3.0490 loss: 4.5743 loss_cls: 2.9809 loss_bbox: 1.5935 2024/10/26 22:46:35 - mmengine - INFO - Epoch(train) [39][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:16:48 time: 0.2442 data_time: 0.0231 memory: 2049 grad_norm: 3.2480 loss: 4.6186 loss_cls: 3.0092 loss_bbox: 1.6094 2024/10/26 22:46:48 - mmengine - INFO - Epoch(train) [39][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:16:37 time: 0.2575 data_time: 0.0326 memory: 2049 grad_norm: 2.9931 loss: 4.6272 loss_cls: 3.0142 loss_bbox: 1.6130 2024/10/26 22:47:00 - mmengine - INFO - Epoch(train) [39][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:16:22 time: 0.2385 data_time: 0.0242 memory: 2049 grad_norm: 3.0178 loss: 4.6812 loss_cls: 3.0345 loss_bbox: 1.6467 2024/10/26 22:47:12 - mmengine - INFO - Epoch(train) [39][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:16:09 time: 0.2507 data_time: 0.0278 memory: 2049 grad_norm: 3.3072 loss: 4.6001 loss_cls: 3.0074 loss_bbox: 1.5927 2024/10/26 22:47:24 - mmengine - INFO - Epoch(train) [39][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:15:55 time: 0.2433 data_time: 0.0239 memory: 2049 grad_norm: 3.1997 loss: 4.6235 loss_cls: 3.0114 loss_bbox: 1.6121 2024/10/26 22:47:37 - mmengine - INFO - Epoch(train) [39][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:15:41 time: 0.2437 data_time: 0.0228 memory: 2049 grad_norm: 3.0982 loss: 4.6399 loss_cls: 3.0518 loss_bbox: 1.5881 2024/10/26 22:47:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:47:49 - mmengine - INFO - Epoch(train) [39][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:15:29 time: 0.2535 data_time: 0.0284 memory: 2049 grad_norm: 3.4689 loss: 4.6342 loss_cls: 3.0022 loss_bbox: 1.6320 2024/10/26 22:48:01 - mmengine - INFO - Epoch(train) [39][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:15:15 time: 0.2413 data_time: 0.0239 memory: 2049 grad_norm: 3.0657 loss: 4.5244 loss_cls: 2.9779 loss_bbox: 1.5465 2024/10/26 22:48:14 - mmengine - INFO - Epoch(train) [39][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:15:02 time: 0.2489 data_time: 0.0263 memory: 2049 grad_norm: 3.3628 loss: 4.6809 loss_cls: 3.0237 loss_bbox: 1.6572 2024/10/26 22:48:15 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:48:15 - mmengine - INFO - Saving checkpoint at 39 epochs 2024/10/26 22:48:30 - mmengine - INFO - Epoch(train) [40][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:14:49 time: 0.2538 data_time: 0.0351 memory: 2049 grad_norm: 3.2456 loss: 4.5516 loss_cls: 2.9662 loss_bbox: 1.5855 2024/10/26 22:48:42 - mmengine - INFO - Epoch(train) [40][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:14:35 time: 0.2457 data_time: 0.0247 memory: 2049 grad_norm: 3.1883 loss: 4.5631 loss_cls: 2.9765 loss_bbox: 1.5865 2024/10/26 22:48:54 - mmengine - INFO - Epoch(train) [40][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:14:22 time: 0.2450 data_time: 0.0323 memory: 2049 grad_norm: 3.3379 loss: 4.5803 loss_cls: 2.9609 loss_bbox: 1.6195 2024/10/26 22:49:06 - mmengine - INFO - Epoch(train) [40][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:14:07 time: 0.2386 data_time: 0.0260 memory: 2049 grad_norm: 3.2581 loss: 4.5775 loss_cls: 2.9734 loss_bbox: 1.6040 2024/10/26 22:49:18 - mmengine - INFO - Epoch(train) [40][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:13:52 time: 0.2416 data_time: 0.0251 memory: 2049 grad_norm: 3.0668 loss: 4.6276 loss_cls: 3.0057 loss_bbox: 1.6218 2024/10/26 22:49:31 - mmengine - INFO - Epoch(train) [40][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:13:40 time: 0.2496 data_time: 0.0250 memory: 2049 grad_norm: 3.1698 loss: 4.6013 loss_cls: 3.0002 loss_bbox: 1.6010 2024/10/26 22:49:43 - mmengine - INFO - Epoch(train) [40][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:13:27 time: 0.2484 data_time: 0.0254 memory: 2049 grad_norm: 3.1428 loss: 4.6830 loss_cls: 3.0535 loss_bbox: 1.6295 2024/10/26 22:49:56 - mmengine - INFO - Epoch(train) [40][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:13:13 time: 0.2469 data_time: 0.0229 memory: 2049 grad_norm: 3.1147 loss: 4.7276 loss_cls: 3.0560 loss_bbox: 1.6716 2024/10/26 22:50:07 - mmengine - INFO - Epoch(train) [40][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:12:57 time: 0.2328 data_time: 0.0241 memory: 2049 grad_norm: 3.0925 loss: 4.7454 loss_cls: 3.0839 loss_bbox: 1.6615 2024/10/26 22:50:20 - mmengine - INFO - Epoch(train) [40][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:12:46 time: 0.2570 data_time: 0.0271 memory: 2049 grad_norm: 3.0843 loss: 4.5752 loss_cls: 2.9481 loss_bbox: 1.6270 2024/10/26 22:50:32 - mmengine - INFO - Epoch(train) [40][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:12:31 time: 0.2407 data_time: 0.0226 memory: 2049 grad_norm: 3.2561 loss: 4.6899 loss_cls: 3.0374 loss_bbox: 1.6525 2024/10/26 22:50:44 - mmengine - INFO - Epoch(train) [40][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:12:16 time: 0.2373 data_time: 0.0232 memory: 2049 grad_norm: 3.2164 loss: 4.5030 loss_cls: 2.9505 loss_bbox: 1.5525 2024/10/26 22:50:57 - mmengine - INFO - Epoch(train) [40][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:12:06 time: 0.2611 data_time: 0.0224 memory: 2049 grad_norm: 3.1194 loss: 4.6489 loss_cls: 3.0066 loss_bbox: 1.6423 2024/10/26 22:51:09 - mmengine - INFO - Epoch(train) [40][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:11:51 time: 0.2415 data_time: 0.0264 memory: 2049 grad_norm: 3.2989 loss: 4.6031 loss_cls: 2.9915 loss_bbox: 1.6116 2024/10/26 22:51:22 - mmengine - INFO - Epoch(train) [40][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:11:39 time: 0.2535 data_time: 0.0272 memory: 2049 grad_norm: 3.0848 loss: 4.5766 loss_cls: 2.9668 loss_bbox: 1.6098 2024/10/26 22:51:34 - mmengine - INFO - Epoch(train) [40][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:11:25 time: 0.2413 data_time: 0.0238 memory: 2049 grad_norm: 3.4135 loss: 4.7159 loss_cls: 3.0439 loss_bbox: 1.6720 2024/10/26 22:51:46 - mmengine - INFO - Epoch(train) [40][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:11:11 time: 0.2444 data_time: 0.0222 memory: 2049 grad_norm: 3.4363 loss: 4.5337 loss_cls: 2.9506 loss_bbox: 1.5831 2024/10/26 22:51:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:51:59 - mmengine - INFO - Epoch(train) [40][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:10:58 time: 0.2494 data_time: 0.0227 memory: 2049 grad_norm: 3.0910 loss: 4.5712 loss_cls: 2.9804 loss_bbox: 1.5908 2024/10/26 22:52:10 - mmengine - INFO - Epoch(train) [40][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:10:43 time: 0.2352 data_time: 0.0289 memory: 2049 grad_norm: 3.1786 loss: 4.6873 loss_cls: 3.0595 loss_bbox: 1.6278 2024/10/26 22:52:23 - mmengine - INFO - Epoch(train) [40][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:10:31 time: 0.2564 data_time: 0.0246 memory: 2049 grad_norm: 3.1213 loss: 4.7416 loss_cls: 3.0571 loss_bbox: 1.6845 2024/10/26 22:52:35 - mmengine - INFO - Epoch(train) [40][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:10:16 time: 0.2401 data_time: 0.0237 memory: 2049 grad_norm: 3.2818 loss: 4.6438 loss_cls: 2.9901 loss_bbox: 1.6537 2024/10/26 22:52:48 - mmengine - INFO - Epoch(train) [40][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:10:04 time: 0.2535 data_time: 0.0335 memory: 2049 grad_norm: 3.3217 loss: 4.6903 loss_cls: 3.0238 loss_bbox: 1.6665 2024/10/26 22:53:01 - mmengine - INFO - Epoch(train) [40][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:09:53 time: 0.2555 data_time: 0.0382 memory: 2049 grad_norm: 3.2529 loss: 4.6264 loss_cls: 2.9891 loss_bbox: 1.6373 2024/10/26 22:53:12 - mmengine - INFO - Epoch(train) [40][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:09:36 time: 0.2317 data_time: 0.0285 memory: 2049 grad_norm: 3.1438 loss: 4.5700 loss_cls: 2.9602 loss_bbox: 1.6098 2024/10/26 22:53:25 - mmengine - INFO - Epoch(train) [40][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:09:25 time: 0.2565 data_time: 0.0305 memory: 2049 grad_norm: 3.0731 loss: 4.4919 loss_cls: 2.9276 loss_bbox: 1.5643 2024/10/26 22:53:37 - mmengine - INFO - Epoch(train) [40][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:09:09 time: 0.2345 data_time: 0.0284 memory: 2049 grad_norm: 3.2288 loss: 4.6899 loss_cls: 3.0319 loss_bbox: 1.6580 2024/10/26 22:53:49 - mmengine - INFO - Epoch(train) [40][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:08:55 time: 0.2430 data_time: 0.0288 memory: 2049 grad_norm: 3.2531 loss: 4.6434 loss_cls: 3.0496 loss_bbox: 1.5938 2024/10/26 22:54:02 - mmengine - INFO - Epoch(train) [40][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:08:43 time: 0.2538 data_time: 0.0363 memory: 2049 grad_norm: 3.1963 loss: 4.6076 loss_cls: 3.0002 loss_bbox: 1.6074 2024/10/26 22:54:14 - mmengine - INFO - Epoch(train) [40][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:08:28 time: 0.2342 data_time: 0.0285 memory: 2049 grad_norm: 3.4808 loss: 4.6679 loss_cls: 3.0064 loss_bbox: 1.6615 2024/10/26 22:54:26 - mmengine - INFO - Epoch(train) [40][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:08:13 time: 0.2414 data_time: 0.0289 memory: 2049 grad_norm: 3.1896 loss: 4.7024 loss_cls: 3.0441 loss_bbox: 1.6583 2024/10/26 22:54:38 - mmengine - INFO - Epoch(train) [40][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:08:01 time: 0.2508 data_time: 0.0333 memory: 2049 grad_norm: 3.1470 loss: 4.7041 loss_cls: 3.0510 loss_bbox: 1.6531 2024/10/26 22:54:51 - mmengine - INFO - Epoch(train) [40][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:07:48 time: 0.2515 data_time: 0.0282 memory: 2049 grad_norm: 3.2031 loss: 4.6424 loss_cls: 3.0088 loss_bbox: 1.6336 2024/10/26 22:55:03 - mmengine - INFO - Epoch(train) [40][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:07:35 time: 0.2478 data_time: 0.0352 memory: 2049 grad_norm: 3.2257 loss: 4.6102 loss_cls: 2.9981 loss_bbox: 1.6122 2024/10/26 22:55:17 - mmengine - INFO - Epoch(train) [40][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:07:28 time: 0.2798 data_time: 0.0693 memory: 2049 grad_norm: 3.0969 loss: 4.7650 loss_cls: 3.0813 loss_bbox: 1.6838 2024/10/26 22:55:29 - mmengine - INFO - Epoch(train) [40][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:07:14 time: 0.2447 data_time: 0.0293 memory: 2049 grad_norm: 3.0027 loss: 4.7448 loss_cls: 3.0519 loss_bbox: 1.6929 2024/10/26 22:55:41 - mmengine - INFO - Epoch(train) [40][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:06:59 time: 0.2388 data_time: 0.0279 memory: 2049 grad_norm: 3.1265 loss: 4.4492 loss_cls: 2.8984 loss_bbox: 1.5508 2024/10/26 22:55:54 - mmengine - INFO - Epoch(train) [40][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:06:47 time: 0.2512 data_time: 0.0270 memory: 2049 grad_norm: 3.4859 loss: 4.5920 loss_cls: 2.9709 loss_bbox: 1.6211 2024/10/26 22:56:05 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 22:56:07 - mmengine - INFO - Epoch(train) [40][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:06:35 time: 0.2531 data_time: 0.0343 memory: 2049 grad_norm: 3.1823 loss: 4.6098 loss_cls: 3.0034 loss_bbox: 1.6064 2024/10/26 22:56:19 - mmengine - INFO - Epoch(train) [40][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:06:23 time: 0.2537 data_time: 0.0267 memory: 2049 grad_norm: 3.1002 loss: 4.5848 loss_cls: 2.9875 loss_bbox: 1.5973 2024/10/26 22:56:31 - mmengine - INFO - Epoch(train) [40][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:06:09 time: 0.2440 data_time: 0.0259 memory: 2049 grad_norm: 3.2781 loss: 4.5828 loss_cls: 3.0108 loss_bbox: 1.5720 2024/10/26 22:56:44 - mmengine - INFO - Epoch(train) [40][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:05:55 time: 0.2449 data_time: 0.0285 memory: 2049 grad_norm: 3.2830 loss: 4.6712 loss_cls: 3.0079 loss_bbox: 1.6633 2024/10/26 22:56:57 - mmengine - INFO - Epoch(train) [40][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:05:44 time: 0.2577 data_time: 0.0278 memory: 2049 grad_norm: 3.1127 loss: 4.6633 loss_cls: 3.0470 loss_bbox: 1.6163 2024/10/26 22:57:09 - mmengine - INFO - Epoch(train) [40][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:05:32 time: 0.2521 data_time: 0.0353 memory: 2049 grad_norm: 2.9814 loss: 4.6234 loss_cls: 2.9880 loss_bbox: 1.6354 2024/10/26 22:57:22 - mmengine - INFO - Epoch(train) [40][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:05:21 time: 0.2598 data_time: 0.0268 memory: 2049 grad_norm: 3.1754 loss: 4.7274 loss_cls: 3.0380 loss_bbox: 1.6894 2024/10/26 22:57:34 - mmengine - INFO - Epoch(train) [40][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:05:06 time: 0.2392 data_time: 0.0269 memory: 2049 grad_norm: 2.9023 loss: 4.6207 loss_cls: 2.9854 loss_bbox: 1.6353 2024/10/26 22:57:46 - mmengine - INFO - Epoch(train) [40][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:04:52 time: 0.2420 data_time: 0.0266 memory: 2049 grad_norm: 3.1622 loss: 4.6820 loss_cls: 3.0541 loss_bbox: 1.6279 2024/10/26 22:57:59 - mmengine - INFO - Epoch(train) [40][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:04:41 time: 0.2591 data_time: 0.0297 memory: 2049 grad_norm: 3.0846 loss: 4.5766 loss_cls: 2.9557 loss_bbox: 1.6209 2024/10/26 22:58:12 - mmengine - INFO - Epoch(train) [40][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:04:29 time: 0.2574 data_time: 0.0325 memory: 2049 grad_norm: 3.0173 loss: 4.6125 loss_cls: 2.9891 loss_bbox: 1.6234 2024/10/26 22:58:25 - mmengine - INFO - Epoch(train) [40][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:04:18 time: 0.2591 data_time: 0.0276 memory: 2049 grad_norm: 3.1286 loss: 4.8101 loss_cls: 3.0660 loss_bbox: 1.7441 2024/10/26 22:58:38 - mmengine - INFO - Epoch(train) [40][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:04:06 time: 0.2540 data_time: 0.0274 memory: 2049 grad_norm: 3.2374 loss: 4.6274 loss_cls: 3.0146 loss_bbox: 1.6129 2024/10/26 22:58:51 - mmengine - INFO - Epoch(train) [40][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:03:55 time: 0.2572 data_time: 0.0262 memory: 2049 grad_norm: 3.2675 loss: 4.5377 loss_cls: 2.9870 loss_bbox: 1.5507 2024/10/26 22:59:03 - mmengine - INFO - Epoch(train) [40][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:03:43 time: 0.2533 data_time: 0.0260 memory: 2049 grad_norm: 3.1203 loss: 4.6405 loss_cls: 3.0507 loss_bbox: 1.5899 2024/10/26 22:59:19 - mmengine - INFO - Epoch(train) [40][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:03:41 time: 0.3117 data_time: 0.0857 memory: 2049 grad_norm: 3.1438 loss: 4.5406 loss_cls: 2.9471 loss_bbox: 1.5935 2024/10/26 22:59:33 - mmengine - INFO - Epoch(train) [40][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:03:34 time: 0.2789 data_time: 0.0262 memory: 2049 grad_norm: 3.3373 loss: 4.6374 loss_cls: 3.0024 loss_bbox: 1.6350 2024/10/26 22:59:46 - mmengine - INFO - Epoch(train) [40][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:03:22 time: 0.2563 data_time: 0.0362 memory: 2049 grad_norm: 3.1582 loss: 4.5337 loss_cls: 2.9553 loss_bbox: 1.5784 2024/10/26 22:59:59 - mmengine - INFO - Epoch(train) [40][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:03:12 time: 0.2630 data_time: 0.0268 memory: 2049 grad_norm: 3.1253 loss: 4.6987 loss_cls: 3.0399 loss_bbox: 1.6588 2024/10/26 23:00:12 - mmengine - INFO - Epoch(train) [40][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:03:03 time: 0.2688 data_time: 0.0264 memory: 2049 grad_norm: 3.0776 loss: 4.6274 loss_cls: 3.0040 loss_bbox: 1.6235 2024/10/26 23:00:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:00:25 - mmengine - INFO - Epoch(train) [40][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:02:52 time: 0.2580 data_time: 0.0320 memory: 2049 grad_norm: 3.2029 loss: 4.5416 loss_cls: 2.9736 loss_bbox: 1.5680 2024/10/26 23:00:39 - mmengine - INFO - Epoch(train) [40][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:02:42 time: 0.2686 data_time: 0.0261 memory: 2049 grad_norm: 3.0304 loss: 4.8164 loss_cls: 3.1286 loss_bbox: 1.6878 2024/10/26 23:00:51 - mmengine - INFO - Epoch(train) [40][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:02:30 time: 0.2505 data_time: 0.0288 memory: 2049 grad_norm: 2.9262 loss: 4.7696 loss_cls: 3.0672 loss_bbox: 1.7024 2024/10/26 23:01:05 - mmengine - INFO - Epoch(train) [40][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:02:20 time: 0.2692 data_time: 0.0324 memory: 2049 grad_norm: 3.0555 loss: 4.6527 loss_cls: 3.0358 loss_bbox: 1.6169 2024/10/26 23:01:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:01:06 - mmengine - INFO - Saving checkpoint at 40 epochs 2024/10/26 23:01:11 - mmengine - INFO - Epoch(val) [40][50/79] eta: 0:00:01 time: 0.0451 data_time: 0.0064 memory: 2049 2024/10/26 23:01:26 - mmengine - INFO - Evaluating bbox... 2024/10/26 23:02:32 - mmengine - INFO - bbox_mAP_copypaste: 0.165 0.290 0.165 0.013 0.148 0.324 2024/10/26 23:02:33 - mmengine - INFO - Epoch(val) [40][79/79] coco/bbox_mAP: 0.1650 coco/bbox_mAP_50: 0.2900 coco/bbox_mAP_75: 0.1650 coco/bbox_mAP_s: 0.0130 coco/bbox_mAP_m: 0.1480 coco/bbox_mAP_l: 0.3240 data_time: 0.0060 time: 0.0442 2024/10/26 23:02:46 - mmengine - INFO - Epoch(train) [41][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:02:07 time: 0.2464 data_time: 0.0410 memory: 2049 grad_norm: 3.1412 loss: 4.6384 loss_cls: 2.9936 loss_bbox: 1.6448 2024/10/26 23:02:58 - mmengine - INFO - Epoch(train) [41][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:01:53 time: 0.2409 data_time: 0.0365 memory: 2049 grad_norm: 3.1757 loss: 4.5062 loss_cls: 2.9199 loss_bbox: 1.5864 2024/10/26 23:03:10 - mmengine - INFO - Epoch(train) [41][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:01:39 time: 0.2464 data_time: 0.0285 memory: 2049 grad_norm: 3.2526 loss: 4.7146 loss_cls: 3.0416 loss_bbox: 1.6731 2024/10/26 23:03:21 - mmengine - INFO - Epoch(train) [41][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:01:21 time: 0.2192 data_time: 0.0280 memory: 2049 grad_norm: 3.2913 loss: 4.6984 loss_cls: 3.0570 loss_bbox: 1.6414 2024/10/26 23:03:33 - mmengine - INFO - Epoch(train) [41][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:01:07 time: 0.2447 data_time: 0.0290 memory: 2049 grad_norm: 3.2513 loss: 4.5941 loss_cls: 3.0329 loss_bbox: 1.5611 2024/10/26 23:03:45 - mmengine - INFO - Epoch(train) [41][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:00:51 time: 0.2337 data_time: 0.0294 memory: 2049 grad_norm: 3.2982 loss: 4.5484 loss_cls: 3.0076 loss_bbox: 1.5409 2024/10/26 23:03:57 - mmengine - INFO - Epoch(train) [41][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:00:37 time: 0.2415 data_time: 0.0302 memory: 2049 grad_norm: 3.1249 loss: 4.5915 loss_cls: 2.9845 loss_bbox: 1.6070 2024/10/26 23:04:10 - mmengine - INFO - Epoch(train) [41][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:00:24 time: 0.2486 data_time: 0.0348 memory: 2049 grad_norm: 2.9695 loss: 4.6006 loss_cls: 2.9732 loss_bbox: 1.6274 2024/10/26 23:04:21 - mmengine - INFO - Epoch(train) [41][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 17:00:07 time: 0.2246 data_time: 0.0295 memory: 2049 grad_norm: 3.1836 loss: 4.5730 loss_cls: 3.0108 loss_bbox: 1.5622 2024/10/26 23:04:33 - mmengine - INFO - Epoch(train) [41][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:59:53 time: 0.2427 data_time: 0.0283 memory: 2049 grad_norm: 3.4452 loss: 4.5913 loss_cls: 2.9874 loss_bbox: 1.6039 2024/10/26 23:04:45 - mmengine - INFO - Epoch(train) [41][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:59:37 time: 0.2343 data_time: 0.0346 memory: 2049 grad_norm: 3.1171 loss: 4.7046 loss_cls: 3.0598 loss_bbox: 1.6448 2024/10/26 23:04:56 - mmengine - INFO - Epoch(train) [41][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:59:22 time: 0.2355 data_time: 0.0278 memory: 2049 grad_norm: 3.2288 loss: 4.6246 loss_cls: 3.0217 loss_bbox: 1.6029 2024/10/26 23:05:09 - mmengine - INFO - Epoch(train) [41][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:59:08 time: 0.2422 data_time: 0.0370 memory: 2049 grad_norm: 3.0922 loss: 4.6196 loss_cls: 3.0491 loss_bbox: 1.5705 2024/10/26 23:05:20 - mmengine - INFO - Epoch(train) [41][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:58:52 time: 0.2333 data_time: 0.0345 memory: 2049 grad_norm: 3.1595 loss: 4.5747 loss_cls: 2.9669 loss_bbox: 1.6078 2024/10/26 23:05:33 - mmengine - INFO - Epoch(train) [41][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:58:40 time: 0.2507 data_time: 0.0373 memory: 2049 grad_norm: 3.2689 loss: 4.6178 loss_cls: 3.0150 loss_bbox: 1.6028 2024/10/26 23:05:44 - mmengine - INFO - Epoch(train) [41][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:58:24 time: 0.2334 data_time: 0.0334 memory: 2049 grad_norm: 3.3742 loss: 4.5368 loss_cls: 2.9712 loss_bbox: 1.5656 2024/10/26 23:05:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:05:57 - mmengine - INFO - Epoch(train) [41][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:58:10 time: 0.2413 data_time: 0.0272 memory: 2049 grad_norm: 3.0981 loss: 4.6004 loss_cls: 3.0010 loss_bbox: 1.5995 2024/10/26 23:06:09 - mmengine - INFO - Epoch(train) [41][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:57:56 time: 0.2450 data_time: 0.0270 memory: 2049 grad_norm: 3.2790 loss: 4.5860 loss_cls: 3.0199 loss_bbox: 1.5661 2024/10/26 23:06:21 - mmengine - INFO - Epoch(train) [41][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:57:41 time: 0.2389 data_time: 0.0293 memory: 2049 grad_norm: 3.2419 loss: 4.6344 loss_cls: 3.0082 loss_bbox: 1.6262 2024/10/26 23:06:33 - mmengine - INFO - Epoch(train) [41][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:57:29 time: 0.2520 data_time: 0.0319 memory: 2049 grad_norm: 2.9540 loss: 4.6323 loss_cls: 3.0029 loss_bbox: 1.6294 2024/10/26 23:06:45 - mmengine - INFO - Epoch(train) [41][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:57:13 time: 0.2314 data_time: 0.0274 memory: 2049 grad_norm: 3.1436 loss: 4.6843 loss_cls: 3.0035 loss_bbox: 1.6809 2024/10/26 23:06:57 - mmengine - INFO - Epoch(train) [41][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:57:00 time: 0.2467 data_time: 0.0373 memory: 2049 grad_norm: 3.0148 loss: 4.6960 loss_cls: 3.0529 loss_bbox: 1.6432 2024/10/26 23:07:09 - mmengine - INFO - Epoch(train) [41][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:56:44 time: 0.2345 data_time: 0.0267 memory: 2049 grad_norm: 3.3390 loss: 4.5295 loss_cls: 2.9492 loss_bbox: 1.5803 2024/10/26 23:07:21 - mmengine - INFO - Epoch(train) [41][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:56:28 time: 0.2324 data_time: 0.0259 memory: 2049 grad_norm: 3.0120 loss: 4.6994 loss_cls: 3.0481 loss_bbox: 1.6514 2024/10/26 23:07:33 - mmengine - INFO - Epoch(train) [41][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:56:17 time: 0.2557 data_time: 0.0279 memory: 2049 grad_norm: 3.3216 loss: 4.6530 loss_cls: 3.0242 loss_bbox: 1.6288 2024/10/26 23:07:45 - mmengine - INFO - Epoch(train) [41][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:56:02 time: 0.2366 data_time: 0.0292 memory: 2049 grad_norm: 2.9077 loss: 4.6863 loss_cls: 3.0367 loss_bbox: 1.6496 2024/10/26 23:07:57 - mmengine - INFO - Epoch(train) [41][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:55:47 time: 0.2376 data_time: 0.0294 memory: 2049 grad_norm: 3.3661 loss: 4.7173 loss_cls: 3.0868 loss_bbox: 1.6306 2024/10/26 23:08:09 - mmengine - INFO - Epoch(train) [41][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:55:33 time: 0.2430 data_time: 0.0282 memory: 2049 grad_norm: 3.2924 loss: 4.6356 loss_cls: 3.0076 loss_bbox: 1.6279 2024/10/26 23:08:20 - mmengine - INFO - Epoch(train) [41][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:55:15 time: 0.2220 data_time: 0.0259 memory: 2049 grad_norm: 3.3734 loss: 4.6019 loss_cls: 2.9733 loss_bbox: 1.6286 2024/10/26 23:08:33 - mmengine - INFO - Epoch(train) [41][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:55:03 time: 0.2513 data_time: 0.0345 memory: 2049 grad_norm: 3.1639 loss: 4.5385 loss_cls: 2.9800 loss_bbox: 1.5585 2024/10/26 23:08:45 - mmengine - INFO - Epoch(train) [41][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:54:48 time: 0.2379 data_time: 0.0282 memory: 2049 grad_norm: 3.1429 loss: 4.6671 loss_cls: 3.0088 loss_bbox: 1.6583 2024/10/26 23:08:57 - mmengine - INFO - Epoch(train) [41][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:54:34 time: 0.2456 data_time: 0.0276 memory: 2049 grad_norm: 3.4267 loss: 4.5747 loss_cls: 3.0236 loss_bbox: 1.5511 2024/10/26 23:09:09 - mmengine - INFO - Epoch(train) [41][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:54:19 time: 0.2335 data_time: 0.0263 memory: 2049 grad_norm: 3.2753 loss: 4.6803 loss_cls: 3.0481 loss_bbox: 1.6322 2024/10/26 23:09:20 - mmengine - INFO - Epoch(train) [41][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:54:02 time: 0.2262 data_time: 0.0263 memory: 2049 grad_norm: 3.1744 loss: 4.7153 loss_cls: 3.0280 loss_bbox: 1.6872 2024/10/26 23:09:32 - mmengine - INFO - Epoch(train) [41][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:53:48 time: 0.2451 data_time: 0.0258 memory: 2049 grad_norm: 3.0657 loss: 4.6203 loss_cls: 2.9940 loss_bbox: 1.6263 2024/10/26 23:09:44 - mmengine - INFO - Epoch(train) [41][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:53:34 time: 0.2377 data_time: 0.0261 memory: 2049 grad_norm: 3.1830 loss: 4.6316 loss_cls: 3.0216 loss_bbox: 1.6100 2024/10/26 23:09:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:09:57 - mmengine - INFO - Epoch(train) [41][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:53:21 time: 0.2490 data_time: 0.0364 memory: 2049 grad_norm: 3.1933 loss: 4.6029 loss_cls: 3.0109 loss_bbox: 1.5920 2024/10/26 23:10:09 - mmengine - INFO - Epoch(train) [41][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:53:07 time: 0.2429 data_time: 0.0307 memory: 2049 grad_norm: 3.2190 loss: 4.6646 loss_cls: 3.0212 loss_bbox: 1.6434 2024/10/26 23:10:21 - mmengine - INFO - Epoch(train) [41][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:52:51 time: 0.2332 data_time: 0.0264 memory: 2049 grad_norm: 3.1271 loss: 4.4977 loss_cls: 2.9325 loss_bbox: 1.5652 2024/10/26 23:10:33 - mmengine - INFO - Epoch(train) [41][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:52:38 time: 0.2487 data_time: 0.0271 memory: 2049 grad_norm: 3.5022 loss: 4.5923 loss_cls: 3.0134 loss_bbox: 1.5789 2024/10/26 23:10:45 - mmengine - INFO - Epoch(train) [41][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:52:22 time: 0.2301 data_time: 0.0269 memory: 2049 grad_norm: 3.2026 loss: 4.6805 loss_cls: 3.0412 loss_bbox: 1.6393 2024/10/26 23:10:57 - mmengine - INFO - Epoch(train) [41][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:52:08 time: 0.2443 data_time: 0.0269 memory: 2049 grad_norm: 3.2682 loss: 4.7365 loss_cls: 3.0887 loss_bbox: 1.6478 2024/10/26 23:11:09 - mmengine - INFO - Epoch(train) [41][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:51:54 time: 0.2424 data_time: 0.0286 memory: 2049 grad_norm: 3.4518 loss: 4.7497 loss_cls: 3.0881 loss_bbox: 1.6616 2024/10/26 23:11:21 - mmengine - INFO - Epoch(train) [41][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:51:39 time: 0.2323 data_time: 0.0275 memory: 2049 grad_norm: 3.1621 loss: 4.6930 loss_cls: 3.0278 loss_bbox: 1.6652 2024/10/26 23:11:33 - mmengine - INFO - Epoch(train) [41][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:51:26 time: 0.2489 data_time: 0.0269 memory: 2049 grad_norm: 3.2484 loss: 4.5381 loss_cls: 2.9483 loss_bbox: 1.5897 2024/10/26 23:11:45 - mmengine - INFO - Epoch(train) [41][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:51:11 time: 0.2359 data_time: 0.0266 memory: 2049 grad_norm: 3.1649 loss: 4.6265 loss_cls: 3.0328 loss_bbox: 1.5937 2024/10/26 23:11:57 - mmengine - INFO - Epoch(train) [41][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:50:57 time: 0.2462 data_time: 0.0266 memory: 2049 grad_norm: 3.1663 loss: 4.5945 loss_cls: 2.9837 loss_bbox: 1.6108 2024/10/26 23:12:11 - mmengine - INFO - Epoch(train) [41][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:50:49 time: 0.2744 data_time: 0.0309 memory: 2049 grad_norm: 3.1234 loss: 4.6451 loss_cls: 3.0438 loss_bbox: 1.6013 2024/10/26 23:12:24 - mmengine - INFO - Epoch(train) [41][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:50:37 time: 0.2538 data_time: 0.0287 memory: 2049 grad_norm: 2.9646 loss: 4.5685 loss_cls: 2.9891 loss_bbox: 1.5794 2024/10/26 23:12:36 - mmengine - INFO - Epoch(train) [41][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:50:25 time: 0.2560 data_time: 0.0313 memory: 2049 grad_norm: 3.2591 loss: 4.6554 loss_cls: 2.9812 loss_bbox: 1.6741 2024/10/26 23:12:49 - mmengine - INFO - Epoch(train) [41][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:50:13 time: 0.2504 data_time: 0.0351 memory: 2049 grad_norm: 3.3395 loss: 4.6588 loss_cls: 3.0641 loss_bbox: 1.5946 2024/10/26 23:13:01 - mmengine - INFO - Epoch(train) [41][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:50:00 time: 0.2509 data_time: 0.0345 memory: 2049 grad_norm: 3.0173 loss: 4.6494 loss_cls: 3.0083 loss_bbox: 1.6411 2024/10/26 23:13:14 - mmengine - INFO - Epoch(train) [41][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:49:49 time: 0.2553 data_time: 0.0266 memory: 2049 grad_norm: 3.2879 loss: 4.6043 loss_cls: 2.9928 loss_bbox: 1.6115 2024/10/26 23:13:28 - mmengine - INFO - Epoch(train) [41][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:49:40 time: 0.2718 data_time: 0.0370 memory: 2049 grad_norm: 2.9138 loss: 4.6577 loss_cls: 3.0085 loss_bbox: 1.6492 2024/10/26 23:13:41 - mmengine - INFO - Epoch(train) [41][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:49:29 time: 0.2634 data_time: 0.0367 memory: 2049 grad_norm: 3.3192 loss: 4.5762 loss_cls: 2.9900 loss_bbox: 1.5862 2024/10/26 23:13:54 - mmengine - INFO - Epoch(train) [41][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:49:20 time: 0.2692 data_time: 0.0357 memory: 2049 grad_norm: 3.1049 loss: 4.6599 loss_cls: 3.0340 loss_bbox: 1.6259 2024/10/26 23:14:05 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:14:07 - mmengine - INFO - Epoch(train) [41][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:49:09 time: 0.2581 data_time: 0.0388 memory: 2049 grad_norm: 3.1199 loss: 4.6455 loss_cls: 3.0306 loss_bbox: 1.6149 2024/10/26 23:14:19 - mmengine - INFO - Epoch(train) [41][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:48:54 time: 0.2399 data_time: 0.0270 memory: 2049 grad_norm: 3.1445 loss: 4.7994 loss_cls: 3.0896 loss_bbox: 1.7098 2024/10/26 23:14:32 - mmengine - INFO - Epoch(train) [41][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:48:43 time: 0.2547 data_time: 0.0263 memory: 2049 grad_norm: 3.0578 loss: 4.5470 loss_cls: 2.9652 loss_bbox: 1.5818 2024/10/26 23:14:45 - mmengine - INFO - Epoch(train) [41][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:48:31 time: 0.2554 data_time: 0.0262 memory: 2049 grad_norm: 3.0897 loss: 4.5972 loss_cls: 3.0031 loss_bbox: 1.5940 2024/10/26 23:14:57 - mmengine - INFO - Epoch(train) [41][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:48:16 time: 0.2351 data_time: 0.0339 memory: 2049 grad_norm: 3.1151 loss: 4.6087 loss_cls: 3.0055 loss_bbox: 1.6032 2024/10/26 23:14:58 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:14:58 - mmengine - INFO - Saving checkpoint at 41 epochs 2024/10/26 23:15:13 - mmengine - INFO - Epoch(train) [42][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:48:03 time: 0.2555 data_time: 0.0387 memory: 2049 grad_norm: 3.2279 loss: 4.5403 loss_cls: 2.9792 loss_bbox: 1.5611 2024/10/26 23:15:24 - mmengine - INFO - Epoch(train) [42][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:47:47 time: 0.2305 data_time: 0.0268 memory: 2049 grad_norm: 3.5265 loss: 4.4836 loss_cls: 2.9598 loss_bbox: 1.5238 2024/10/26 23:15:36 - mmengine - INFO - Epoch(train) [42][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:47:31 time: 0.2312 data_time: 0.0261 memory: 2049 grad_norm: 3.0795 loss: 4.6493 loss_cls: 3.0242 loss_bbox: 1.6252 2024/10/26 23:15:48 - mmengine - INFO - Epoch(train) [42][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:47:18 time: 0.2462 data_time: 0.0287 memory: 2049 grad_norm: 3.2245 loss: 4.6582 loss_cls: 3.0211 loss_bbox: 1.6370 2024/10/26 23:16:00 - mmengine - INFO - Epoch(train) [42][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:47:03 time: 0.2379 data_time: 0.0252 memory: 2049 grad_norm: 3.2149 loss: 4.6539 loss_cls: 3.0474 loss_bbox: 1.6064 2024/10/26 23:16:12 - mmengine - INFO - Epoch(train) [42][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:46:48 time: 0.2362 data_time: 0.0261 memory: 2049 grad_norm: 3.2011 loss: 4.6803 loss_cls: 3.0557 loss_bbox: 1.6246 2024/10/26 23:16:25 - mmengine - INFO - Epoch(train) [42][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:46:36 time: 0.2548 data_time: 0.0291 memory: 2049 grad_norm: 3.3056 loss: 4.6369 loss_cls: 3.0323 loss_bbox: 1.6046 2024/10/26 23:16:36 - mmengine - INFO - Epoch(train) [42][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:46:21 time: 0.2364 data_time: 0.0265 memory: 2049 grad_norm: 3.0875 loss: 4.6265 loss_cls: 3.0064 loss_bbox: 1.6201 2024/10/26 23:16:49 - mmengine - INFO - Epoch(train) [42][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:46:09 time: 0.2507 data_time: 0.0269 memory: 2049 grad_norm: 3.1472 loss: 4.6004 loss_cls: 3.0137 loss_bbox: 1.5867 2024/10/26 23:17:01 - mmengine - INFO - Epoch(train) [42][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:45:54 time: 0.2391 data_time: 0.0331 memory: 2049 grad_norm: 3.1346 loss: 4.4862 loss_cls: 2.9526 loss_bbox: 1.5336 2024/10/26 23:17:17 - mmengine - INFO - Epoch(train) [42][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:45:52 time: 0.3121 data_time: 0.1027 memory: 2049 grad_norm: 3.0337 loss: 4.7303 loss_cls: 3.0641 loss_bbox: 1.6662 2024/10/26 23:17:29 - mmengine - INFO - Epoch(train) [42][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:45:39 time: 0.2481 data_time: 0.0337 memory: 2049 grad_norm: 3.2931 loss: 4.6783 loss_cls: 3.0535 loss_bbox: 1.6248 2024/10/26 23:17:41 - mmengine - INFO - Epoch(train) [42][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:45:25 time: 0.2422 data_time: 0.0289 memory: 2049 grad_norm: 3.2593 loss: 4.5988 loss_cls: 2.9796 loss_bbox: 1.6192 2024/10/26 23:17:54 - mmengine - INFO - Epoch(train) [42][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:45:13 time: 0.2537 data_time: 0.0291 memory: 2049 grad_norm: 3.2100 loss: 4.6818 loss_cls: 3.0242 loss_bbox: 1.6576 2024/10/26 23:18:06 - mmengine - INFO - Epoch(train) [42][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:45:00 time: 0.2453 data_time: 0.0255 memory: 2049 grad_norm: 3.0892 loss: 4.6721 loss_cls: 3.0099 loss_bbox: 1.6622 2024/10/26 23:18:15 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:18:18 - mmengine - INFO - Epoch(train) [42][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:44:46 time: 0.2401 data_time: 0.0254 memory: 2049 grad_norm: 3.1526 loss: 4.7216 loss_cls: 3.0492 loss_bbox: 1.6724 2024/10/26 23:18:31 - mmengine - INFO - Epoch(train) [42][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:44:33 time: 0.2512 data_time: 0.0290 memory: 2049 grad_norm: 3.0107 loss: 4.7121 loss_cls: 3.0505 loss_bbox: 1.6616 2024/10/26 23:18:43 - mmengine - INFO - Epoch(train) [42][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:44:20 time: 0.2501 data_time: 0.0285 memory: 2049 grad_norm: 3.3193 loss: 4.5747 loss_cls: 2.9915 loss_bbox: 1.5832 2024/10/26 23:18:56 - mmengine - INFO - Epoch(train) [42][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:44:09 time: 0.2581 data_time: 0.0278 memory: 2049 grad_norm: 3.2267 loss: 4.6297 loss_cls: 3.0174 loss_bbox: 1.6123 2024/10/26 23:19:09 - mmengine - INFO - Epoch(train) [42][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:43:57 time: 0.2557 data_time: 0.0347 memory: 2049 grad_norm: 3.0223 loss: 4.4986 loss_cls: 2.9797 loss_bbox: 1.5189 2024/10/26 23:19:20 - mmengine - INFO - Epoch(train) [42][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:43:42 time: 0.2306 data_time: 0.0262 memory: 2049 grad_norm: 3.3552 loss: 4.6407 loss_cls: 3.0858 loss_bbox: 1.5549 2024/10/26 23:19:33 - mmengine - INFO - Epoch(train) [42][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:43:30 time: 0.2591 data_time: 0.0259 memory: 2049 grad_norm: 3.0927 loss: 4.5946 loss_cls: 2.9893 loss_bbox: 1.6053 2024/10/26 23:19:46 - mmengine - INFO - Epoch(train) [42][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:43:17 time: 0.2452 data_time: 0.0322 memory: 2049 grad_norm: 3.2961 loss: 4.6258 loss_cls: 2.9794 loss_bbox: 1.6464 2024/10/26 23:19:58 - mmengine - INFO - Epoch(train) [42][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:43:04 time: 0.2460 data_time: 0.0298 memory: 2049 grad_norm: 3.0771 loss: 4.7408 loss_cls: 3.0726 loss_bbox: 1.6682 2024/10/26 23:20:11 - mmengine - INFO - Epoch(train) [42][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:42:52 time: 0.2534 data_time: 0.0292 memory: 2049 grad_norm: 3.1996 loss: 4.6045 loss_cls: 2.9728 loss_bbox: 1.6316 2024/10/26 23:20:23 - mmengine - INFO - Epoch(train) [42][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:42:37 time: 0.2403 data_time: 0.0349 memory: 2049 grad_norm: 3.1441 loss: 4.7084 loss_cls: 3.0294 loss_bbox: 1.6790 2024/10/26 23:20:35 - mmengine - INFO - Epoch(train) [42][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:42:25 time: 0.2552 data_time: 0.0251 memory: 2049 grad_norm: 3.2866 loss: 4.6005 loss_cls: 2.9880 loss_bbox: 1.6125 2024/10/26 23:20:47 - mmengine - INFO - Epoch(train) [42][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:42:10 time: 0.2345 data_time: 0.0252 memory: 2049 grad_norm: 3.1125 loss: 4.6919 loss_cls: 3.0557 loss_bbox: 1.6362 2024/10/26 23:20:59 - mmengine - INFO - Epoch(train) [42][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:41:57 time: 0.2452 data_time: 0.0328 memory: 2049 grad_norm: 3.2996 loss: 4.6300 loss_cls: 3.0456 loss_bbox: 1.5845 2024/10/26 23:21:12 - mmengine - INFO - Epoch(train) [42][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:41:44 time: 0.2512 data_time: 0.0259 memory: 2049 grad_norm: 3.2019 loss: 4.4980 loss_cls: 2.9576 loss_bbox: 1.5404 2024/10/26 23:21:23 - mmengine - INFO - Epoch(train) [42][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:41:28 time: 0.2252 data_time: 0.0266 memory: 2049 grad_norm: 3.3775 loss: 4.5974 loss_cls: 2.9879 loss_bbox: 1.6095 2024/10/26 23:21:36 - mmengine - INFO - Epoch(train) [42][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:41:16 time: 0.2562 data_time: 0.0281 memory: 2049 grad_norm: 3.1854 loss: 4.5941 loss_cls: 2.9880 loss_bbox: 1.6061 2024/10/26 23:21:48 - mmengine - INFO - Epoch(train) [42][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:41:00 time: 0.2324 data_time: 0.0254 memory: 2049 grad_norm: 3.0293 loss: 4.6852 loss_cls: 3.0171 loss_bbox: 1.6680 2024/10/26 23:21:59 - mmengine - INFO - Epoch(train) [42][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:40:44 time: 0.2289 data_time: 0.0253 memory: 2049 grad_norm: 3.3258 loss: 4.5811 loss_cls: 2.9889 loss_bbox: 1.5921 2024/10/26 23:22:12 - mmengine - INFO - Epoch(train) [42][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:40:33 time: 0.2574 data_time: 0.0340 memory: 2049 grad_norm: 3.0817 loss: 4.6884 loss_cls: 3.0400 loss_bbox: 1.6484 2024/10/26 23:22:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:22:23 - mmengine - INFO - Epoch(train) [42][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:40:16 time: 0.2230 data_time: 0.0265 memory: 2049 grad_norm: 3.1252 loss: 4.7594 loss_cls: 3.0921 loss_bbox: 1.6673 2024/10/26 23:22:36 - mmengine - INFO - Epoch(train) [42][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:40:04 time: 0.2530 data_time: 0.0282 memory: 2049 grad_norm: 3.1168 loss: 4.6832 loss_cls: 3.0084 loss_bbox: 1.6748 2024/10/26 23:22:48 - mmengine - INFO - Epoch(train) [42][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:39:50 time: 0.2423 data_time: 0.0310 memory: 2049 grad_norm: 3.0802 loss: 4.6803 loss_cls: 3.0331 loss_bbox: 1.6472 2024/10/26 23:23:00 - mmengine - INFO - Epoch(train) [42][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:39:36 time: 0.2449 data_time: 0.0273 memory: 2049 grad_norm: 3.2961 loss: 4.6568 loss_cls: 3.0448 loss_bbox: 1.6120 2024/10/26 23:23:13 - mmengine - INFO - Epoch(train) [42][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:39:24 time: 0.2538 data_time: 0.0283 memory: 2049 grad_norm: 3.0483 loss: 4.6575 loss_cls: 3.0136 loss_bbox: 1.6439 2024/10/26 23:23:25 - mmengine - INFO - Epoch(train) [42][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:39:09 time: 0.2341 data_time: 0.0330 memory: 2049 grad_norm: 3.1582 loss: 4.7462 loss_cls: 3.0881 loss_bbox: 1.6581 2024/10/26 23:23:37 - mmengine - INFO - Epoch(train) [42][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:38:56 time: 0.2469 data_time: 0.0353 memory: 2049 grad_norm: 3.1407 loss: 4.6688 loss_cls: 3.0203 loss_bbox: 1.6485 2024/10/26 23:23:50 - mmengine - INFO - Epoch(train) [42][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:38:43 time: 0.2498 data_time: 0.0286 memory: 2049 grad_norm: 3.3736 loss: 4.6281 loss_cls: 3.0102 loss_bbox: 1.6179 2024/10/26 23:24:02 - mmengine - INFO - Epoch(train) [42][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:38:30 time: 0.2477 data_time: 0.0270 memory: 2049 grad_norm: 3.1306 loss: 4.5698 loss_cls: 2.9942 loss_bbox: 1.5755 2024/10/26 23:24:18 - mmengine - INFO - Epoch(train) [42][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:38:29 time: 0.3230 data_time: 0.0860 memory: 2049 grad_norm: 3.2712 loss: 4.5939 loss_cls: 2.9986 loss_bbox: 1.5953 2024/10/26 23:24:30 - mmengine - INFO - Epoch(train) [42][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:38:14 time: 0.2309 data_time: 0.0289 memory: 2049 grad_norm: 2.9730 loss: 4.7618 loss_cls: 3.0498 loss_bbox: 1.7120 2024/10/26 23:24:42 - mmengine - INFO - Epoch(train) [42][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:38:00 time: 0.2413 data_time: 0.0271 memory: 2049 grad_norm: 3.3134 loss: 4.6303 loss_cls: 2.9923 loss_bbox: 1.6379 2024/10/26 23:24:54 - mmengine - INFO - Epoch(train) [42][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:37:47 time: 0.2525 data_time: 0.0270 memory: 2049 grad_norm: 3.2982 loss: 4.6255 loss_cls: 3.0316 loss_bbox: 1.5939 2024/10/26 23:25:07 - mmengine - INFO - Epoch(train) [42][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:37:35 time: 0.2543 data_time: 0.0382 memory: 2049 grad_norm: 2.9939 loss: 4.6766 loss_cls: 3.0606 loss_bbox: 1.6160 2024/10/26 23:25:20 - mmengine - INFO - Epoch(train) [42][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:37:25 time: 0.2631 data_time: 0.0277 memory: 2049 grad_norm: 3.0901 loss: 4.6796 loss_cls: 3.0203 loss_bbox: 1.6594 2024/10/26 23:25:32 - mmengine - INFO - Epoch(train) [42][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:37:09 time: 0.2300 data_time: 0.0281 memory: 2049 grad_norm: 3.1751 loss: 4.5962 loss_cls: 3.0234 loss_bbox: 1.5728 2024/10/26 23:25:44 - mmengine - INFO - Epoch(train) [42][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:36:55 time: 0.2434 data_time: 0.0314 memory: 2049 grad_norm: 3.0278 loss: 4.6970 loss_cls: 3.0753 loss_bbox: 1.6218 2024/10/26 23:25:57 - mmengine - INFO - Epoch(train) [42][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:36:45 time: 0.2632 data_time: 0.0273 memory: 2049 grad_norm: 3.5513 loss: 4.6938 loss_cls: 3.0656 loss_bbox: 1.6282 2024/10/26 23:26:10 - mmengine - INFO - Epoch(train) [42][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:36:32 time: 0.2498 data_time: 0.0350 memory: 2049 grad_norm: 3.2439 loss: 4.5911 loss_cls: 2.9864 loss_bbox: 1.6047 2024/10/26 23:26:23 - mmengine - INFO - Epoch(train) [42][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:36:21 time: 0.2598 data_time: 0.0291 memory: 2049 grad_norm: 3.1812 loss: 4.5624 loss_cls: 2.9709 loss_bbox: 1.5915 2024/10/26 23:26:31 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:26:35 - mmengine - INFO - Epoch(train) [42][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:36:07 time: 0.2411 data_time: 0.0279 memory: 2049 grad_norm: 3.0664 loss: 4.7527 loss_cls: 3.1148 loss_bbox: 1.6379 2024/10/26 23:26:47 - mmengine - INFO - Epoch(train) [42][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:35:55 time: 0.2521 data_time: 0.0385 memory: 2049 grad_norm: 3.3495 loss: 4.7235 loss_cls: 3.0604 loss_bbox: 1.6631 2024/10/26 23:27:01 - mmengine - INFO - Epoch(train) [42][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:35:46 time: 0.2724 data_time: 0.0358 memory: 2049 grad_norm: 3.4308 loss: 4.6357 loss_cls: 3.0107 loss_bbox: 1.6251 2024/10/26 23:27:13 - mmengine - INFO - Epoch(train) [42][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:35:33 time: 0.2491 data_time: 0.0276 memory: 2049 grad_norm: 3.1816 loss: 4.7205 loss_cls: 3.0489 loss_bbox: 1.6716 2024/10/26 23:27:26 - mmengine - INFO - Epoch(train) [42][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:35:22 time: 0.2596 data_time: 0.0375 memory: 2049 grad_norm: 3.3808 loss: 4.7173 loss_cls: 3.0752 loss_bbox: 1.6422 2024/10/26 23:27:38 - mmengine - INFO - Epoch(train) [42][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:35:08 time: 0.2431 data_time: 0.0278 memory: 2049 grad_norm: 3.1123 loss: 4.7385 loss_cls: 3.0801 loss_bbox: 1.6584 2024/10/26 23:27:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:27:39 - mmengine - INFO - Saving checkpoint at 42 epochs 2024/10/26 23:27:55 - mmengine - INFO - Epoch(train) [43][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:34:56 time: 0.2608 data_time: 0.0456 memory: 2049 grad_norm: 3.3300 loss: 4.6232 loss_cls: 3.0295 loss_bbox: 1.5937 2024/10/26 23:28:08 - mmengine - INFO - Epoch(train) [43][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:34:44 time: 0.2543 data_time: 0.0276 memory: 2049 grad_norm: 3.2253 loss: 4.6862 loss_cls: 3.0711 loss_bbox: 1.6151 2024/10/26 23:28:20 - mmengine - INFO - Epoch(train) [43][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:34:30 time: 0.2419 data_time: 0.0277 memory: 2049 grad_norm: 3.2067 loss: 4.6446 loss_cls: 3.0805 loss_bbox: 1.5641 2024/10/26 23:28:32 - mmengine - INFO - Epoch(train) [43][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:34:17 time: 0.2469 data_time: 0.0276 memory: 2049 grad_norm: 3.3363 loss: 4.5735 loss_cls: 3.0127 loss_bbox: 1.5608 2024/10/26 23:28:44 - mmengine - INFO - Epoch(train) [43][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:34:02 time: 0.2406 data_time: 0.0277 memory: 2049 grad_norm: 3.3775 loss: 4.6516 loss_cls: 3.0287 loss_bbox: 1.6230 2024/10/26 23:28:57 - mmengine - INFO - Epoch(train) [43][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:33:49 time: 0.2475 data_time: 0.0308 memory: 2049 grad_norm: 3.1133 loss: 4.6557 loss_cls: 3.0276 loss_bbox: 1.6281 2024/10/26 23:29:10 - mmengine - INFO - Epoch(train) [43][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:33:40 time: 0.2702 data_time: 0.0331 memory: 2049 grad_norm: 3.0961 loss: 4.6831 loss_cls: 3.0317 loss_bbox: 1.6514 2024/10/26 23:29:22 - mmengine - INFO - Epoch(train) [43][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:33:27 time: 0.2452 data_time: 0.0288 memory: 2049 grad_norm: 3.1761 loss: 4.6715 loss_cls: 3.0383 loss_bbox: 1.6332 2024/10/26 23:29:35 - mmengine - INFO - Epoch(train) [43][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:33:13 time: 0.2459 data_time: 0.0274 memory: 2049 grad_norm: 3.2022 loss: 4.6084 loss_cls: 3.0339 loss_bbox: 1.5745 2024/10/26 23:29:47 - mmengine - INFO - Epoch(train) [43][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:33:00 time: 0.2475 data_time: 0.0265 memory: 2049 grad_norm: 3.1439 loss: 4.6210 loss_cls: 2.9924 loss_bbox: 1.6286 2024/10/26 23:29:59 - mmengine - INFO - Epoch(train) [43][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:32:47 time: 0.2439 data_time: 0.0259 memory: 2049 grad_norm: 3.2432 loss: 4.7260 loss_cls: 3.0368 loss_bbox: 1.6892 2024/10/26 23:30:13 - mmengine - INFO - Epoch(train) [43][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:32:37 time: 0.2706 data_time: 0.0298 memory: 2049 grad_norm: 3.0569 loss: 4.6672 loss_cls: 3.0263 loss_bbox: 1.6409 2024/10/26 23:30:26 - mmengine - INFO - Epoch(train) [43][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:32:25 time: 0.2533 data_time: 0.0419 memory: 2049 grad_norm: 3.0633 loss: 4.5451 loss_cls: 2.9838 loss_bbox: 1.5613 2024/10/26 23:30:38 - mmengine - INFO - Epoch(train) [43][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:32:13 time: 0.2512 data_time: 0.0279 memory: 2049 grad_norm: 3.1389 loss: 4.6827 loss_cls: 2.9965 loss_bbox: 1.6862 2024/10/26 23:30:47 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:30:52 - mmengine - INFO - Epoch(train) [43][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:32:03 time: 0.2693 data_time: 0.0309 memory: 2049 grad_norm: 3.2367 loss: 4.5650 loss_cls: 2.9800 loss_bbox: 1.5849 2024/10/26 23:31:05 - mmengine - INFO - Epoch(train) [43][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:31:52 time: 0.2610 data_time: 0.0269 memory: 2049 grad_norm: 2.9587 loss: 4.6390 loss_cls: 2.9838 loss_bbox: 1.6552 2024/10/26 23:31:18 - mmengine - INFO - Epoch(train) [43][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:31:43 time: 0.2701 data_time: 0.0386 memory: 2049 grad_norm: 3.2552 loss: 4.5889 loss_cls: 2.9909 loss_bbox: 1.5980 2024/10/26 23:31:31 - mmengine - INFO - Epoch(train) [43][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:31:30 time: 0.2509 data_time: 0.0302 memory: 2049 grad_norm: 3.3334 loss: 4.5851 loss_cls: 3.0297 loss_bbox: 1.5554 2024/10/26 23:31:44 - mmengine - INFO - Epoch(train) [43][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:31:20 time: 0.2615 data_time: 0.0288 memory: 2049 grad_norm: 3.0399 loss: 4.6314 loss_cls: 3.0109 loss_bbox: 1.6205 2024/10/26 23:31:57 - mmengine - INFO - Epoch(train) [43][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:31:08 time: 0.2580 data_time: 0.0329 memory: 2049 grad_norm: 3.2393 loss: 4.6542 loss_cls: 3.0094 loss_bbox: 1.6449 2024/10/26 23:32:09 - mmengine - INFO - Epoch(train) [43][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:30:56 time: 0.2546 data_time: 0.0359 memory: 2049 grad_norm: 3.0121 loss: 4.5714 loss_cls: 2.9944 loss_bbox: 1.5771 2024/10/26 23:32:22 - mmengine - INFO - Epoch(train) [43][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:30:45 time: 0.2560 data_time: 0.0300 memory: 2049 grad_norm: 3.1999 loss: 4.6484 loss_cls: 3.0359 loss_bbox: 1.6126 2024/10/26 23:32:35 - mmengine - INFO - Epoch(train) [43][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:30:32 time: 0.2508 data_time: 0.0273 memory: 2049 grad_norm: 3.1787 loss: 4.6954 loss_cls: 3.0786 loss_bbox: 1.6168 2024/10/26 23:32:48 - mmengine - INFO - Epoch(train) [43][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:30:20 time: 0.2540 data_time: 0.0284 memory: 2049 grad_norm: 3.1235 loss: 4.5405 loss_cls: 2.9887 loss_bbox: 1.5519 2024/10/26 23:33:00 - mmengine - INFO - Epoch(train) [43][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:30:09 time: 0.2563 data_time: 0.0317 memory: 2049 grad_norm: 3.0314 loss: 4.6533 loss_cls: 3.0325 loss_bbox: 1.6209 2024/10/26 23:33:13 - mmengine - INFO - Epoch(train) [43][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:29:57 time: 0.2597 data_time: 0.0279 memory: 2049 grad_norm: 3.1347 loss: 4.6796 loss_cls: 3.0473 loss_bbox: 1.6323 2024/10/26 23:33:26 - mmengine - INFO - Epoch(train) [43][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:29:44 time: 0.2438 data_time: 0.0265 memory: 2049 grad_norm: 3.1829 loss: 4.6137 loss_cls: 2.9810 loss_bbox: 1.6327 2024/10/26 23:33:39 - mmengine - INFO - Epoch(train) [43][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:29:33 time: 0.2631 data_time: 0.0290 memory: 2049 grad_norm: 3.2645 loss: 4.5179 loss_cls: 2.9234 loss_bbox: 1.5944 2024/10/26 23:33:51 - mmengine - INFO - Epoch(train) [43][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:29:21 time: 0.2541 data_time: 0.0253 memory: 2049 grad_norm: 3.2645 loss: 4.7364 loss_cls: 3.0614 loss_bbox: 1.6750 2024/10/26 23:34:05 - mmengine - INFO - Epoch(train) [43][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:29:10 time: 0.2615 data_time: 0.0252 memory: 2049 grad_norm: 3.1552 loss: 4.5093 loss_cls: 2.9387 loss_bbox: 1.5706 2024/10/26 23:34:19 - mmengine - INFO - Epoch(train) [43][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:29:03 time: 0.2820 data_time: 0.0539 memory: 2049 grad_norm: 3.2667 loss: 4.6746 loss_cls: 3.0319 loss_bbox: 1.6426 2024/10/26 23:34:31 - mmengine - INFO - Epoch(train) [43][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:28:49 time: 0.2398 data_time: 0.0272 memory: 2049 grad_norm: 3.1048 loss: 4.5829 loss_cls: 2.9886 loss_bbox: 1.5943 2024/10/26 23:34:44 - mmengine - INFO - Epoch(train) [43][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:28:38 time: 0.2642 data_time: 0.0281 memory: 2049 grad_norm: 2.9707 loss: 4.8420 loss_cls: 3.1085 loss_bbox: 1.7335 2024/10/26 23:34:57 - mmengine - INFO - Epoch(train) [43][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:28:27 time: 0.2581 data_time: 0.0255 memory: 2049 grad_norm: 3.1935 loss: 4.5688 loss_cls: 2.9716 loss_bbox: 1.5972 2024/10/26 23:35:05 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:35:10 - mmengine - INFO - Epoch(train) [43][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:28:16 time: 0.2624 data_time: 0.0271 memory: 2049 grad_norm: 3.3148 loss: 4.7581 loss_cls: 3.0917 loss_bbox: 1.6664 2024/10/26 23:35:22 - mmengine - INFO - Epoch(train) [43][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:28:03 time: 0.2459 data_time: 0.0262 memory: 2049 grad_norm: 3.0948 loss: 4.7203 loss_cls: 3.0739 loss_bbox: 1.6465 2024/10/26 23:35:35 - mmengine - INFO - Epoch(train) [43][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:27:50 time: 0.2487 data_time: 0.0307 memory: 2049 grad_norm: 3.3722 loss: 4.6663 loss_cls: 3.0199 loss_bbox: 1.6464 2024/10/26 23:35:48 - mmengine - INFO - Epoch(train) [43][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:27:40 time: 0.2695 data_time: 0.0442 memory: 2049 grad_norm: 3.1173 loss: 4.5825 loss_cls: 2.9750 loss_bbox: 1.6075 2024/10/26 23:36:01 - mmengine - INFO - Epoch(train) [43][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:27:29 time: 0.2618 data_time: 0.0262 memory: 2049 grad_norm: 3.1144 loss: 4.7180 loss_cls: 3.0405 loss_bbox: 1.6775 2024/10/26 23:36:14 - mmengine - INFO - Epoch(train) [43][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:27:18 time: 0.2568 data_time: 0.0267 memory: 2049 grad_norm: 3.2423 loss: 4.6653 loss_cls: 3.0346 loss_bbox: 1.6307 2024/10/26 23:36:27 - mmengine - INFO - Epoch(train) [43][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:27:05 time: 0.2504 data_time: 0.0262 memory: 2049 grad_norm: 3.3998 loss: 4.5159 loss_cls: 2.9901 loss_bbox: 1.5259 2024/10/26 23:36:39 - mmengine - INFO - Epoch(train) [43][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:26:52 time: 0.2433 data_time: 0.0268 memory: 2049 grad_norm: 3.2898 loss: 4.6234 loss_cls: 3.0128 loss_bbox: 1.6106 2024/10/26 23:36:52 - mmengine - INFO - Epoch(train) [43][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:26:41 time: 0.2634 data_time: 0.0348 memory: 2049 grad_norm: 3.3634 loss: 4.6805 loss_cls: 3.0288 loss_bbox: 1.6517 2024/10/26 23:37:04 - mmengine - INFO - Epoch(train) [43][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:26:28 time: 0.2495 data_time: 0.0282 memory: 2049 grad_norm: 3.1444 loss: 4.5218 loss_cls: 2.9607 loss_bbox: 1.5611 2024/10/26 23:37:18 - mmengine - INFO - Epoch(train) [43][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:26:18 time: 0.2685 data_time: 0.0340 memory: 2049 grad_norm: 3.0822 loss: 4.7690 loss_cls: 3.0870 loss_bbox: 1.6819 2024/10/26 23:37:30 - mmengine - INFO - Epoch(train) [43][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:26:06 time: 0.2519 data_time: 0.0268 memory: 2049 grad_norm: 3.0899 loss: 4.5960 loss_cls: 2.9716 loss_bbox: 1.6244 2024/10/26 23:37:42 - mmengine - INFO - Epoch(train) [43][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:25:52 time: 0.2401 data_time: 0.0282 memory: 2049 grad_norm: 3.0582 loss: 4.6529 loss_cls: 2.9831 loss_bbox: 1.6698 2024/10/26 23:37:55 - mmengine - INFO - Epoch(train) [43][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:25:41 time: 0.2605 data_time: 0.0331 memory: 2049 grad_norm: 3.1393 loss: 4.7322 loss_cls: 3.1211 loss_bbox: 1.6111 2024/10/26 23:38:08 - mmengine - INFO - Epoch(train) [43][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:25:29 time: 0.2583 data_time: 0.0325 memory: 2049 grad_norm: 3.1664 loss: 4.5924 loss_cls: 3.0141 loss_bbox: 1.5783 2024/10/26 23:38:22 - mmengine - INFO - Epoch(train) [43][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:25:21 time: 0.2754 data_time: 0.0347 memory: 2049 grad_norm: 3.2852 loss: 4.6189 loss_cls: 3.0042 loss_bbox: 1.6146 2024/10/26 23:38:35 - mmengine - INFO - Epoch(train) [43][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:25:09 time: 0.2545 data_time: 0.0258 memory: 2049 grad_norm: 3.0911 loss: 4.6536 loss_cls: 3.0476 loss_bbox: 1.6060 2024/10/26 23:38:47 - mmengine - INFO - Epoch(train) [43][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:24:55 time: 0.2410 data_time: 0.0258 memory: 2049 grad_norm: 3.1860 loss: 4.5767 loss_cls: 2.9797 loss_bbox: 1.5970 2024/10/26 23:39:00 - mmengine - INFO - Epoch(train) [43][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:24:44 time: 0.2644 data_time: 0.0261 memory: 2049 grad_norm: 3.1745 loss: 4.6883 loss_cls: 3.0448 loss_bbox: 1.6436 2024/10/26 23:39:13 - mmengine - INFO - Epoch(train) [43][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:24:32 time: 0.2555 data_time: 0.0269 memory: 2049 grad_norm: 3.2308 loss: 4.6126 loss_cls: 3.0286 loss_bbox: 1.5840 2024/10/26 23:39:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:39:27 - mmengine - INFO - Epoch(train) [43][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:24:23 time: 0.2703 data_time: 0.0354 memory: 2049 grad_norm: 3.0882 loss: 4.7023 loss_cls: 3.0789 loss_bbox: 1.6233 2024/10/26 23:39:40 - mmengine - INFO - Epoch(train) [43][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:24:12 time: 0.2603 data_time: 0.0271 memory: 2049 grad_norm: 3.1049 loss: 4.7137 loss_cls: 3.0768 loss_bbox: 1.6369 2024/10/26 23:39:52 - mmengine - INFO - Epoch(train) [43][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:23:59 time: 0.2495 data_time: 0.0292 memory: 2049 grad_norm: 3.1110 loss: 4.6987 loss_cls: 3.0848 loss_bbox: 1.6139 2024/10/26 23:40:06 - mmengine - INFO - Epoch(train) [43][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:23:51 time: 0.2811 data_time: 0.0249 memory: 2049 grad_norm: 3.2211 loss: 4.5532 loss_cls: 2.9758 loss_bbox: 1.5774 2024/10/26 23:40:18 - mmengine - INFO - Epoch(train) [43][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:23:37 time: 0.2409 data_time: 0.0247 memory: 2049 grad_norm: 3.5241 loss: 4.6706 loss_cls: 3.0435 loss_bbox: 1.6271 2024/10/26 23:40:31 - mmengine - INFO - Epoch(train) [43][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:23:27 time: 0.2633 data_time: 0.0269 memory: 2049 grad_norm: 3.1740 loss: 4.5876 loss_cls: 2.9673 loss_bbox: 1.6203 2024/10/26 23:40:43 - mmengine - INFO - Epoch(train) [43][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:23:13 time: 0.2412 data_time: 0.0245 memory: 2049 grad_norm: 3.0874 loss: 4.6599 loss_cls: 3.0345 loss_bbox: 1.6254 2024/10/26 23:40:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:40:44 - mmengine - INFO - Saving checkpoint at 43 epochs 2024/10/26 23:40:59 - mmengine - INFO - Epoch(train) [44][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:22:57 time: 0.2418 data_time: 0.0402 memory: 2049 grad_norm: 3.5519 loss: 4.4970 loss_cls: 2.9329 loss_bbox: 1.5641 2024/10/26 23:41:13 - mmengine - INFO - Epoch(train) [44][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:22:47 time: 0.2648 data_time: 0.0367 memory: 2049 grad_norm: 3.2241 loss: 4.6096 loss_cls: 2.9980 loss_bbox: 1.6116 2024/10/26 23:41:24 - mmengine - INFO - Epoch(train) [44][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:22:29 time: 0.2207 data_time: 0.0278 memory: 2049 grad_norm: 3.1501 loss: 4.5066 loss_cls: 2.9319 loss_bbox: 1.5747 2024/10/26 23:41:36 - mmengine - INFO - Epoch(train) [44][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:22:18 time: 0.2554 data_time: 0.0277 memory: 2049 grad_norm: 3.1190 loss: 4.6125 loss_cls: 3.0081 loss_bbox: 1.6044 2024/10/26 23:41:48 - mmengine - INFO - Epoch(train) [44][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:22:03 time: 0.2378 data_time: 0.0281 memory: 2049 grad_norm: 3.3677 loss: 4.6129 loss_cls: 2.9763 loss_bbox: 1.6367 2024/10/26 23:42:00 - mmengine - INFO - Epoch(train) [44][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:21:48 time: 0.2345 data_time: 0.0278 memory: 2049 grad_norm: 3.0430 loss: 4.6036 loss_cls: 3.0243 loss_bbox: 1.5793 2024/10/26 23:42:13 - mmengine - INFO - Epoch(train) [44][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:21:37 time: 0.2614 data_time: 0.0383 memory: 2049 grad_norm: 3.3627 loss: 4.6067 loss_cls: 2.9945 loss_bbox: 1.6122 2024/10/26 23:42:24 - mmengine - INFO - Epoch(train) [44][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:21:21 time: 0.2274 data_time: 0.0302 memory: 2049 grad_norm: 3.1907 loss: 4.5594 loss_cls: 2.9593 loss_bbox: 1.6001 2024/10/26 23:42:37 - mmengine - INFO - Epoch(train) [44][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:21:09 time: 0.2519 data_time: 0.0277 memory: 2049 grad_norm: 3.0084 loss: 4.4722 loss_cls: 2.9441 loss_bbox: 1.5281 2024/10/26 23:42:49 - mmengine - INFO - Epoch(train) [44][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:20:53 time: 0.2321 data_time: 0.0275 memory: 2049 grad_norm: 3.1505 loss: 4.6236 loss_cls: 3.0074 loss_bbox: 1.6161 2024/10/26 23:43:00 - mmengine - INFO - Epoch(train) [44][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:20:38 time: 0.2358 data_time: 0.0272 memory: 2049 grad_norm: 3.0766 loss: 4.6086 loss_cls: 3.0038 loss_bbox: 1.6048 2024/10/26 23:43:13 - mmengine - INFO - Epoch(train) [44][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:20:26 time: 0.2543 data_time: 0.0351 memory: 2049 grad_norm: 3.3592 loss: 4.6183 loss_cls: 3.0013 loss_bbox: 1.6170 2024/10/26 23:43:25 - mmengine - INFO - Epoch(train) [44][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:20:12 time: 0.2417 data_time: 0.0295 memory: 2049 grad_norm: 3.3087 loss: 4.6371 loss_cls: 2.9712 loss_bbox: 1.6659 2024/10/26 23:43:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:43:39 - mmengine - INFO - Epoch(train) [44][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:20:02 time: 0.2645 data_time: 0.0338 memory: 2049 grad_norm: 3.5437 loss: 4.5958 loss_cls: 3.0004 loss_bbox: 1.5954 2024/10/26 23:43:51 - mmengine - INFO - Epoch(train) [44][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:19:48 time: 0.2402 data_time: 0.0275 memory: 2049 grad_norm: 3.2151 loss: 4.5583 loss_cls: 2.9626 loss_bbox: 1.5956 2024/10/26 23:44:03 - mmengine - INFO - Epoch(train) [44][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:19:35 time: 0.2502 data_time: 0.0279 memory: 2049 grad_norm: 3.3573 loss: 4.6836 loss_cls: 3.0429 loss_bbox: 1.6407 2024/10/26 23:44:17 - mmengine - INFO - Epoch(train) [44][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:19:28 time: 0.2835 data_time: 0.0587 memory: 2049 grad_norm: 3.3174 loss: 4.6982 loss_cls: 3.0803 loss_bbox: 1.6179 2024/10/26 23:44:29 - mmengine - INFO - Epoch(train) [44][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:19:13 time: 0.2395 data_time: 0.0265 memory: 2049 grad_norm: 3.0342 loss: 4.6318 loss_cls: 3.0106 loss_bbox: 1.6211 2024/10/26 23:44:42 - mmengine - INFO - Epoch(train) [44][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:19:01 time: 0.2546 data_time: 0.0281 memory: 2049 grad_norm: 3.0693 loss: 4.6531 loss_cls: 3.0195 loss_bbox: 1.6336 2024/10/26 23:44:55 - mmengine - INFO - Epoch(train) [44][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:18:50 time: 0.2598 data_time: 0.0370 memory: 2049 grad_norm: 3.2078 loss: 4.6967 loss_cls: 3.0278 loss_bbox: 1.6689 2024/10/26 23:45:08 - mmengine - INFO - Epoch(train) [44][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:18:38 time: 0.2538 data_time: 0.0267 memory: 2049 grad_norm: 3.2007 loss: 4.6211 loss_cls: 3.0093 loss_bbox: 1.6119 2024/10/26 23:45:21 - mmengine - INFO - Epoch(train) [44][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:18:27 time: 0.2572 data_time: 0.0264 memory: 2049 grad_norm: 2.9988 loss: 4.6250 loss_cls: 3.0155 loss_bbox: 1.6095 2024/10/26 23:45:33 - mmengine - INFO - Epoch(train) [44][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:18:13 time: 0.2411 data_time: 0.0262 memory: 2049 grad_norm: 3.3719 loss: 4.5182 loss_cls: 2.9250 loss_bbox: 1.5931 2024/10/26 23:45:45 - mmengine - INFO - Epoch(train) [44][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:18:00 time: 0.2525 data_time: 0.0328 memory: 2049 grad_norm: 3.3009 loss: 4.5905 loss_cls: 3.0109 loss_bbox: 1.5796 2024/10/26 23:45:57 - mmengine - INFO - Epoch(train) [44][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:17:46 time: 0.2417 data_time: 0.0316 memory: 2049 grad_norm: 3.2871 loss: 4.7175 loss_cls: 3.0655 loss_bbox: 1.6520 2024/10/26 23:46:10 - mmengine - INFO - Epoch(train) [44][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:17:34 time: 0.2528 data_time: 0.0264 memory: 2049 grad_norm: 3.2042 loss: 4.6580 loss_cls: 3.0089 loss_bbox: 1.6490 2024/10/26 23:46:22 - mmengine - INFO - Epoch(train) [44][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:17:20 time: 0.2400 data_time: 0.0254 memory: 2049 grad_norm: 3.1095 loss: 4.6571 loss_cls: 3.0117 loss_bbox: 1.6455 2024/10/26 23:46:34 - mmengine - INFO - Epoch(train) [44][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:17:05 time: 0.2370 data_time: 0.0255 memory: 2049 grad_norm: 3.3084 loss: 4.7269 loss_cls: 3.0502 loss_bbox: 1.6768 2024/10/26 23:46:47 - mmengine - INFO - Epoch(train) [44][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:16:54 time: 0.2611 data_time: 0.0256 memory: 2049 grad_norm: 3.2783 loss: 4.5632 loss_cls: 3.0005 loss_bbox: 1.5627 2024/10/26 23:46:59 - mmengine - INFO - Epoch(train) [44][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:16:40 time: 0.2363 data_time: 0.0253 memory: 2049 grad_norm: 3.0951 loss: 4.6105 loss_cls: 3.0367 loss_bbox: 1.5739 2024/10/26 23:47:11 - mmengine - INFO - Epoch(train) [44][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:16:26 time: 0.2468 data_time: 0.0264 memory: 2049 grad_norm: 3.1174 loss: 4.5400 loss_cls: 2.9726 loss_bbox: 1.5675 2024/10/26 23:47:24 - mmengine - INFO - Epoch(train) [44][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:16:14 time: 0.2505 data_time: 0.0273 memory: 2049 grad_norm: 3.1636 loss: 4.6080 loss_cls: 3.0172 loss_bbox: 1.5908 2024/10/26 23:47:36 - mmengine - INFO - Epoch(train) [44][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:16:00 time: 0.2408 data_time: 0.0251 memory: 2049 grad_norm: 3.1869 loss: 4.5475 loss_cls: 3.0038 loss_bbox: 1.5437 2024/10/26 23:47:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:47:48 - mmengine - INFO - Epoch(train) [44][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:15:47 time: 0.2472 data_time: 0.0253 memory: 2049 grad_norm: 3.1230 loss: 4.6549 loss_cls: 3.0419 loss_bbox: 1.6131 2024/10/26 23:48:00 - mmengine - INFO - Epoch(train) [44][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:15:32 time: 0.2374 data_time: 0.0245 memory: 2049 grad_norm: 3.0894 loss: 4.6901 loss_cls: 3.0291 loss_bbox: 1.6610 2024/10/26 23:48:12 - mmengine - INFO - Epoch(train) [44][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:15:19 time: 0.2483 data_time: 0.0269 memory: 2049 grad_norm: 3.1187 loss: 4.6594 loss_cls: 3.0367 loss_bbox: 1.6227 2024/10/26 23:48:26 - mmengine - INFO - Epoch(train) [44][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:15:09 time: 0.2629 data_time: 0.0276 memory: 2049 grad_norm: 3.4571 loss: 4.7335 loss_cls: 3.0537 loss_bbox: 1.6797 2024/10/26 23:48:38 - mmengine - INFO - Epoch(train) [44][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:14:56 time: 0.2531 data_time: 0.0395 memory: 2049 grad_norm: 3.2232 loss: 4.6407 loss_cls: 2.9947 loss_bbox: 1.6460 2024/10/26 23:48:51 - mmengine - INFO - Epoch(train) [44][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:14:45 time: 0.2588 data_time: 0.0288 memory: 2049 grad_norm: 3.2521 loss: 4.7655 loss_cls: 3.0773 loss_bbox: 1.6882 2024/10/26 23:49:03 - mmengine - INFO - Epoch(train) [44][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:14:30 time: 0.2362 data_time: 0.0313 memory: 2049 grad_norm: 3.1403 loss: 4.5118 loss_cls: 2.9573 loss_bbox: 1.5545 2024/10/26 23:49:17 - mmengine - INFO - Epoch(train) [44][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:14:22 time: 0.2806 data_time: 0.0698 memory: 2049 grad_norm: 3.2465 loss: 4.6238 loss_cls: 3.0138 loss_bbox: 1.6100 2024/10/26 23:49:30 - mmengine - INFO - Epoch(train) [44][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:14:11 time: 0.2574 data_time: 0.0267 memory: 2049 grad_norm: 3.2782 loss: 4.6958 loss_cls: 3.0210 loss_bbox: 1.6748 2024/10/26 23:49:42 - mmengine - INFO - Epoch(train) [44][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:13:57 time: 0.2410 data_time: 0.0353 memory: 2049 grad_norm: 3.2472 loss: 4.5217 loss_cls: 2.9592 loss_bbox: 1.5626 2024/10/26 23:49:55 - mmengine - INFO - Epoch(train) [44][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:13:45 time: 0.2555 data_time: 0.0277 memory: 2049 grad_norm: 3.1119 loss: 4.6700 loss_cls: 3.0417 loss_bbox: 1.6283 2024/10/26 23:50:07 - mmengine - INFO - Epoch(train) [44][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:13:31 time: 0.2418 data_time: 0.0354 memory: 2049 grad_norm: 3.5918 loss: 4.6716 loss_cls: 3.0459 loss_bbox: 1.6257 2024/10/26 23:50:19 - mmengine - INFO - Epoch(train) [44][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:13:17 time: 0.2394 data_time: 0.0256 memory: 2049 grad_norm: 3.2095 loss: 4.5941 loss_cls: 3.0036 loss_bbox: 1.5905 2024/10/26 23:50:31 - mmengine - INFO - Epoch(train) [44][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:13:04 time: 0.2471 data_time: 0.0255 memory: 2049 grad_norm: 3.3005 loss: 4.5815 loss_cls: 3.0003 loss_bbox: 1.5813 2024/10/26 23:50:43 - mmengine - INFO - Epoch(train) [44][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:12:49 time: 0.2375 data_time: 0.0260 memory: 2049 grad_norm: 3.2741 loss: 4.6537 loss_cls: 3.0038 loss_bbox: 1.6499 2024/10/26 23:50:56 - mmengine - INFO - Epoch(train) [44][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:12:37 time: 0.2508 data_time: 0.0264 memory: 2049 grad_norm: 2.8977 loss: 4.6479 loss_cls: 3.0270 loss_bbox: 1.6208 2024/10/26 23:51:07 - mmengine - INFO - Epoch(train) [44][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:12:22 time: 0.2336 data_time: 0.0268 memory: 2049 grad_norm: 3.3611 loss: 4.6218 loss_cls: 2.9890 loss_bbox: 1.6328 2024/10/26 23:51:20 - mmengine - INFO - Epoch(train) [44][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:12:08 time: 0.2446 data_time: 0.0262 memory: 2049 grad_norm: 3.1274 loss: 4.6654 loss_cls: 3.0138 loss_bbox: 1.6516 2024/10/26 23:51:32 - mmengine - INFO - Epoch(train) [44][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:11:56 time: 0.2503 data_time: 0.0297 memory: 2049 grad_norm: 3.3121 loss: 4.5952 loss_cls: 3.0371 loss_bbox: 1.5580 2024/10/26 23:51:44 - mmengine - INFO - Epoch(train) [44][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:11:41 time: 0.2401 data_time: 0.0260 memory: 2049 grad_norm: 3.1888 loss: 4.6798 loss_cls: 3.0570 loss_bbox: 1.6228 2024/10/26 23:51:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:51:58 - mmengine - INFO - Epoch(train) [44][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:11:32 time: 0.2701 data_time: 0.0260 memory: 2049 grad_norm: 3.0743 loss: 4.6859 loss_cls: 2.9976 loss_bbox: 1.6883 2024/10/26 23:52:09 - mmengine - INFO - Epoch(train) [44][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:11:17 time: 0.2351 data_time: 0.0278 memory: 2049 grad_norm: 3.2148 loss: 4.6899 loss_cls: 3.0118 loss_bbox: 1.6781 2024/10/26 23:52:22 - mmengine - INFO - Epoch(train) [44][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:11:06 time: 0.2622 data_time: 0.0268 memory: 2049 grad_norm: 3.3420 loss: 4.6763 loss_cls: 3.0269 loss_bbox: 1.6494 2024/10/26 23:52:35 - mmengine - INFO - Epoch(train) [44][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:10:53 time: 0.2504 data_time: 0.0260 memory: 2049 grad_norm: 3.3316 loss: 4.6147 loss_cls: 3.0143 loss_bbox: 1.6004 2024/10/26 23:52:47 - mmengine - INFO - Epoch(train) [44][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:10:40 time: 0.2473 data_time: 0.0257 memory: 2049 grad_norm: 3.3654 loss: 4.7134 loss_cls: 3.0347 loss_bbox: 1.6787 2024/10/26 23:53:01 - mmengine - INFO - Epoch(train) [44][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:10:30 time: 0.2682 data_time: 0.0262 memory: 2049 grad_norm: 3.2422 loss: 4.6110 loss_cls: 2.9870 loss_bbox: 1.6239 2024/10/26 23:53:13 - mmengine - INFO - Epoch(train) [44][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:10:17 time: 0.2455 data_time: 0.0258 memory: 2049 grad_norm: 3.2834 loss: 4.6207 loss_cls: 2.9881 loss_bbox: 1.6326 2024/10/26 23:53:26 - mmengine - INFO - Epoch(train) [44][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:10:06 time: 0.2616 data_time: 0.0254 memory: 2049 grad_norm: 3.2470 loss: 4.6117 loss_cls: 2.9958 loss_bbox: 1.6159 2024/10/26 23:53:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:53:27 - mmengine - INFO - Saving checkpoint at 44 epochs 2024/10/26 23:53:43 - mmengine - INFO - Epoch(train) [45][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:09:53 time: 0.2513 data_time: 0.0374 memory: 2049 grad_norm: 3.1278 loss: 4.6336 loss_cls: 3.0166 loss_bbox: 1.6170 2024/10/26 23:53:55 - mmengine - INFO - Epoch(train) [45][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:09:39 time: 0.2409 data_time: 0.0297 memory: 2049 grad_norm: 3.2356 loss: 4.6314 loss_cls: 3.0085 loss_bbox: 1.6229 2024/10/26 23:54:07 - mmengine - INFO - Epoch(train) [45][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:09:25 time: 0.2445 data_time: 0.0261 memory: 2049 grad_norm: 3.2344 loss: 4.6497 loss_cls: 2.9977 loss_bbox: 1.6520 2024/10/26 23:54:18 - mmengine - INFO - Epoch(train) [45][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:09:09 time: 0.2282 data_time: 0.0264 memory: 2049 grad_norm: 3.1040 loss: 4.6769 loss_cls: 3.0609 loss_bbox: 1.6160 2024/10/26 23:54:31 - mmengine - INFO - Epoch(train) [45][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:08:58 time: 0.2582 data_time: 0.0349 memory: 2049 grad_norm: 3.3084 loss: 4.6742 loss_cls: 3.0444 loss_bbox: 1.6298 2024/10/26 23:54:43 - mmengine - INFO - Epoch(train) [45][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:08:43 time: 0.2320 data_time: 0.0267 memory: 2049 grad_norm: 3.2807 loss: 4.5366 loss_cls: 2.9308 loss_bbox: 1.6058 2024/10/26 23:54:55 - mmengine - INFO - Epoch(train) [45][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:08:29 time: 0.2458 data_time: 0.0277 memory: 2049 grad_norm: 3.1623 loss: 4.6330 loss_cls: 3.0051 loss_bbox: 1.6279 2024/10/26 23:55:08 - mmengine - INFO - Epoch(train) [45][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:08:19 time: 0.2657 data_time: 0.0287 memory: 2049 grad_norm: 3.5214 loss: 4.7064 loss_cls: 3.0437 loss_bbox: 1.6627 2024/10/26 23:55:20 - mmengine - INFO - Epoch(train) [45][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:08:05 time: 0.2386 data_time: 0.0314 memory: 2049 grad_norm: 3.1809 loss: 4.5273 loss_cls: 2.9356 loss_bbox: 1.5917 2024/10/26 23:55:33 - mmengine - INFO - Epoch(train) [45][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:07:54 time: 0.2604 data_time: 0.0342 memory: 2049 grad_norm: 3.3240 loss: 4.7298 loss_cls: 3.0708 loss_bbox: 1.6590 2024/10/26 23:55:46 - mmengine - INFO - Epoch(train) [45][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:07:40 time: 0.2416 data_time: 0.0260 memory: 2049 grad_norm: 3.3858 loss: 4.7353 loss_cls: 3.0910 loss_bbox: 1.6443 2024/10/26 23:55:58 - mmengine - INFO - Epoch(train) [45][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:07:28 time: 0.2532 data_time: 0.0341 memory: 2049 grad_norm: 3.0102 loss: 4.5890 loss_cls: 2.9847 loss_bbox: 1.6044 2024/10/26 23:56:04 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/26 23:56:11 - mmengine - INFO - Epoch(train) [45][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:07:16 time: 0.2605 data_time: 0.0309 memory: 2049 grad_norm: 3.2846 loss: 4.6412 loss_cls: 2.9956 loss_bbox: 1.6456 2024/10/26 23:56:23 - mmengine - INFO - Epoch(train) [45][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:07:01 time: 0.2323 data_time: 0.0285 memory: 2049 grad_norm: 3.2008 loss: 4.7442 loss_cls: 3.0524 loss_bbox: 1.6919 2024/10/26 23:56:36 - mmengine - INFO - Epoch(train) [45][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:06:51 time: 0.2640 data_time: 0.0346 memory: 2049 grad_norm: 3.1922 loss: 4.6360 loss_cls: 3.0034 loss_bbox: 1.6326 2024/10/26 23:56:48 - mmengine - INFO - Epoch(train) [45][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:06:37 time: 0.2411 data_time: 0.0268 memory: 2049 grad_norm: 3.2066 loss: 4.5693 loss_cls: 2.9887 loss_bbox: 1.5806 2024/10/26 23:57:01 - mmengine - INFO - Epoch(train) [45][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:06:25 time: 0.2541 data_time: 0.0265 memory: 2049 grad_norm: 3.1902 loss: 4.6544 loss_cls: 3.0154 loss_bbox: 1.6391 2024/10/26 23:57:18 - mmengine - INFO - Epoch(train) [45][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:06:25 time: 0.3411 data_time: 0.1102 memory: 2049 grad_norm: 3.1439 loss: 4.5381 loss_cls: 2.9648 loss_bbox: 1.5733 2024/10/26 23:57:31 - mmengine - INFO - Epoch(train) [45][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:06:13 time: 0.2555 data_time: 0.0322 memory: 2049 grad_norm: 3.3343 loss: 4.6500 loss_cls: 3.0003 loss_bbox: 1.6497 2024/10/26 23:57:43 - mmengine - INFO - Epoch(train) [45][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:06:01 time: 0.2555 data_time: 0.0386 memory: 2049 grad_norm: 3.1774 loss: 4.7036 loss_cls: 3.0403 loss_bbox: 1.6633 2024/10/26 23:57:56 - mmengine - INFO - Epoch(train) [45][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:05:47 time: 0.2411 data_time: 0.0311 memory: 2049 grad_norm: 3.1723 loss: 4.6622 loss_cls: 3.0518 loss_bbox: 1.6104 2024/10/26 23:58:09 - mmengine - INFO - Epoch(train) [45][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:05:36 time: 0.2604 data_time: 0.0277 memory: 2049 grad_norm: 3.0979 loss: 4.6667 loss_cls: 3.0212 loss_bbox: 1.6455 2024/10/26 23:58:21 - mmengine - INFO - Epoch(train) [45][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:05:23 time: 0.2471 data_time: 0.0294 memory: 2049 grad_norm: 3.3658 loss: 4.6557 loss_cls: 3.0388 loss_bbox: 1.6169 2024/10/26 23:58:34 - mmengine - INFO - Epoch(train) [45][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:05:11 time: 0.2512 data_time: 0.0257 memory: 2049 grad_norm: 3.1410 loss: 4.6110 loss_cls: 2.9675 loss_bbox: 1.6434 2024/10/26 23:58:46 - mmengine - INFO - Epoch(train) [45][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:04:59 time: 0.2552 data_time: 0.0263 memory: 2049 grad_norm: 3.1432 loss: 4.5826 loss_cls: 2.9988 loss_bbox: 1.5838 2024/10/26 23:58:58 - mmengine - INFO - Epoch(train) [45][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:04:44 time: 0.2349 data_time: 0.0278 memory: 2049 grad_norm: 3.2316 loss: 4.6841 loss_cls: 3.0438 loss_bbox: 1.6403 2024/10/26 23:59:11 - mmengine - INFO - Epoch(train) [45][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:04:32 time: 0.2555 data_time: 0.0261 memory: 2049 grad_norm: 3.3212 loss: 4.6880 loss_cls: 3.0766 loss_bbox: 1.6115 2024/10/26 23:59:23 - mmengine - INFO - Epoch(train) [45][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:04:19 time: 0.2450 data_time: 0.0252 memory: 2049 grad_norm: 3.3595 loss: 4.6406 loss_cls: 3.0263 loss_bbox: 1.6143 2024/10/26 23:59:35 - mmengine - INFO - Epoch(train) [45][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:04:05 time: 0.2409 data_time: 0.0231 memory: 2049 grad_norm: 3.5288 loss: 4.6611 loss_cls: 3.0479 loss_bbox: 1.6132 2024/10/26 23:59:48 - mmengine - INFO - Epoch(train) [45][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:03:52 time: 0.2497 data_time: 0.0277 memory: 2049 grad_norm: 3.2922 loss: 4.7411 loss_cls: 3.0740 loss_bbox: 1.6671 2024/10/26 23:59:59 - mmengine - INFO - Epoch(train) [45][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:03:37 time: 0.2352 data_time: 0.0225 memory: 2049 grad_norm: 3.1372 loss: 4.5968 loss_cls: 3.0026 loss_bbox: 1.5942 2024/10/27 00:00:12 - mmengine - INFO - Epoch(train) [45][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:03:25 time: 0.2548 data_time: 0.0293 memory: 2049 grad_norm: 3.0112 loss: 4.6236 loss_cls: 2.9866 loss_bbox: 1.6371 2024/10/27 00:00:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:00:24 - mmengine - INFO - Epoch(train) [45][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:03:11 time: 0.2403 data_time: 0.0245 memory: 2049 grad_norm: 3.1365 loss: 4.6256 loss_cls: 3.0128 loss_bbox: 1.6128 2024/10/27 00:00:36 - mmengine - INFO - Epoch(train) [45][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:02:57 time: 0.2394 data_time: 0.0231 memory: 2049 grad_norm: 3.2499 loss: 4.6749 loss_cls: 3.0378 loss_bbox: 1.6371 2024/10/27 00:00:48 - mmengine - INFO - Epoch(train) [45][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:02:43 time: 0.2412 data_time: 0.0234 memory: 2049 grad_norm: 3.0919 loss: 4.6488 loss_cls: 2.9883 loss_bbox: 1.6605 2024/10/27 00:01:00 - mmengine - INFO - Epoch(train) [45][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:02:28 time: 0.2295 data_time: 0.0245 memory: 2049 grad_norm: 3.1801 loss: 4.5462 loss_cls: 2.9839 loss_bbox: 1.5623 2024/10/27 00:01:12 - mmengine - INFO - Epoch(train) [45][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:02:13 time: 0.2380 data_time: 0.0231 memory: 2049 grad_norm: 3.2372 loss: 4.7468 loss_cls: 3.1154 loss_bbox: 1.6315 2024/10/27 00:01:23 - mmengine - INFO - Epoch(train) [45][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:01:59 time: 0.2360 data_time: 0.0255 memory: 2049 grad_norm: 3.0857 loss: 4.6009 loss_cls: 3.0015 loss_bbox: 1.5995 2024/10/27 00:01:36 - mmengine - INFO - Epoch(train) [45][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:01:45 time: 0.2454 data_time: 0.0281 memory: 2049 grad_norm: 3.3345 loss: 4.6487 loss_cls: 3.0188 loss_bbox: 1.6299 2024/10/27 00:01:48 - mmengine - INFO - Epoch(train) [45][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:01:32 time: 0.2442 data_time: 0.0238 memory: 2049 grad_norm: 3.1367 loss: 4.6153 loss_cls: 2.9832 loss_bbox: 1.6322 2024/10/27 00:02:00 - mmengine - INFO - Epoch(train) [45][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:01:17 time: 0.2368 data_time: 0.0245 memory: 2049 grad_norm: 3.4160 loss: 4.6479 loss_cls: 2.9896 loss_bbox: 1.6583 2024/10/27 00:02:11 - mmengine - INFO - Epoch(train) [45][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:01:03 time: 0.2347 data_time: 0.0238 memory: 2049 grad_norm: 3.1579 loss: 4.6125 loss_cls: 3.0225 loss_bbox: 1.5900 2024/10/27 00:02:23 - mmengine - INFO - Epoch(train) [45][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:00:48 time: 0.2372 data_time: 0.0263 memory: 2049 grad_norm: 3.2123 loss: 4.7098 loss_cls: 3.0852 loss_bbox: 1.6246 2024/10/27 00:02:35 - mmengine - INFO - Epoch(train) [45][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:00:34 time: 0.2386 data_time: 0.0252 memory: 2049 grad_norm: 3.0450 loss: 4.8107 loss_cls: 3.1393 loss_bbox: 1.6714 2024/10/27 00:02:48 - mmengine - INFO - Epoch(train) [45][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:00:21 time: 0.2482 data_time: 0.0249 memory: 2049 grad_norm: 2.9385 loss: 4.6110 loss_cls: 3.0451 loss_bbox: 1.5659 2024/10/27 00:03:00 - mmengine - INFO - Epoch(train) [45][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 16:00:07 time: 0.2399 data_time: 0.0251 memory: 2049 grad_norm: 3.1638 loss: 4.6682 loss_cls: 3.0504 loss_bbox: 1.6178 2024/10/27 00:03:12 - mmengine - INFO - Epoch(train) [45][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:59:53 time: 0.2411 data_time: 0.0308 memory: 2049 grad_norm: 3.2914 loss: 4.6681 loss_cls: 3.0352 loss_bbox: 1.6329 2024/10/27 00:03:23 - mmengine - INFO - Epoch(train) [45][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:59:38 time: 0.2330 data_time: 0.0259 memory: 2049 grad_norm: 3.3308 loss: 4.5890 loss_cls: 3.0076 loss_bbox: 1.5814 2024/10/27 00:03:36 - mmengine - INFO - Epoch(train) [45][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:59:26 time: 0.2524 data_time: 0.0319 memory: 2049 grad_norm: 3.2174 loss: 4.7374 loss_cls: 3.0353 loss_bbox: 1.7020 2024/10/27 00:03:48 - mmengine - INFO - Epoch(train) [45][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:59:12 time: 0.2430 data_time: 0.0309 memory: 2049 grad_norm: 3.1568 loss: 4.6060 loss_cls: 3.0156 loss_bbox: 1.5903 2024/10/27 00:04:00 - mmengine - INFO - Epoch(train) [45][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:58:58 time: 0.2348 data_time: 0.0244 memory: 2049 grad_norm: 3.2334 loss: 4.5320 loss_cls: 2.9354 loss_bbox: 1.5966 2024/10/27 00:04:12 - mmengine - INFO - Epoch(train) [45][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:58:44 time: 0.2404 data_time: 0.0335 memory: 2049 grad_norm: 3.4080 loss: 4.5881 loss_cls: 2.9862 loss_bbox: 1.6019 2024/10/27 00:04:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:04:23 - mmengine - INFO - Epoch(train) [45][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:58:28 time: 0.2297 data_time: 0.0256 memory: 2049 grad_norm: 2.9982 loss: 4.5833 loss_cls: 3.0121 loss_bbox: 1.5713 2024/10/27 00:04:35 - mmengine - INFO - Epoch(train) [45][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:58:13 time: 0.2346 data_time: 0.0258 memory: 2049 grad_norm: 3.2321 loss: 4.4887 loss_cls: 2.9323 loss_bbox: 1.5563 2024/10/27 00:04:47 - mmengine - INFO - Epoch(train) [45][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:58:00 time: 0.2432 data_time: 0.0261 memory: 2049 grad_norm: 3.4142 loss: 4.6706 loss_cls: 3.0294 loss_bbox: 1.6412 2024/10/27 00:04:59 - mmengine - INFO - Epoch(train) [45][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:57:46 time: 0.2414 data_time: 0.0271 memory: 2049 grad_norm: 3.1589 loss: 4.6266 loss_cls: 3.0260 loss_bbox: 1.6006 2024/10/27 00:05:11 - mmengine - INFO - Epoch(train) [45][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:57:32 time: 0.2404 data_time: 0.0237 memory: 2049 grad_norm: 3.1750 loss: 4.5756 loss_cls: 3.0010 loss_bbox: 1.5746 2024/10/27 00:05:23 - mmengine - INFO - Epoch(train) [45][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:57:17 time: 0.2317 data_time: 0.0233 memory: 2049 grad_norm: 3.2400 loss: 4.7102 loss_cls: 3.0500 loss_bbox: 1.6602 2024/10/27 00:05:35 - mmengine - INFO - Epoch(train) [45][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:57:04 time: 0.2474 data_time: 0.0242 memory: 2049 grad_norm: 3.1468 loss: 4.4831 loss_cls: 2.9209 loss_bbox: 1.5622 2024/10/27 00:05:48 - mmengine - INFO - Epoch(train) [45][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:56:50 time: 0.2420 data_time: 0.0279 memory: 2049 grad_norm: 3.2427 loss: 4.6126 loss_cls: 2.9778 loss_bbox: 1.6349 2024/10/27 00:06:00 - mmengine - INFO - Epoch(train) [45][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:56:37 time: 0.2457 data_time: 0.0227 memory: 2049 grad_norm: 3.1673 loss: 4.5999 loss_cls: 2.9789 loss_bbox: 1.6210 2024/10/27 00:06:01 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:06:01 - mmengine - INFO - Saving checkpoint at 45 epochs 2024/10/27 00:06:09 - mmengine - INFO - Epoch(val) [45][50/79] eta: 0:00:01 time: 0.0403 data_time: 0.0048 memory: 2049 2024/10/27 00:06:22 - mmengine - INFO - Evaluating bbox... 2024/10/27 00:07:20 - mmengine - INFO - bbox_mAP_copypaste: 0.172 0.305 0.171 0.015 0.153 0.341 2024/10/27 00:07:21 - mmengine - INFO - Epoch(val) [45][79/79] coco/bbox_mAP: 0.1720 coco/bbox_mAP_50: 0.3050 coco/bbox_mAP_75: 0.1710 coco/bbox_mAP_s: 0.0150 coco/bbox_mAP_m: 0.1530 coco/bbox_mAP_l: 0.3410 data_time: 0.0044 time: 0.0395 2024/10/27 00:07:33 - mmengine - INFO - Epoch(train) [46][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:56:24 time: 0.2521 data_time: 0.0381 memory: 2049 grad_norm: 3.1741 loss: 4.6533 loss_cls: 2.9906 loss_bbox: 1.6626 2024/10/27 00:07:45 - mmengine - INFO - Epoch(train) [46][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:56:09 time: 0.2313 data_time: 0.0241 memory: 2049 grad_norm: 3.1963 loss: 4.7164 loss_cls: 3.0401 loss_bbox: 1.6763 2024/10/27 00:07:58 - mmengine - INFO - Epoch(train) [46][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:55:57 time: 0.2537 data_time: 0.0286 memory: 2049 grad_norm: 3.0048 loss: 4.5828 loss_cls: 2.9812 loss_bbox: 1.6017 2024/10/27 00:08:09 - mmengine - INFO - Epoch(train) [46][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:55:42 time: 0.2321 data_time: 0.0257 memory: 2049 grad_norm: 3.1609 loss: 4.6216 loss_cls: 3.0074 loss_bbox: 1.6141 2024/10/27 00:08:21 - mmengine - INFO - Epoch(train) [46][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:55:27 time: 0.2312 data_time: 0.0255 memory: 2049 grad_norm: 3.0044 loss: 4.6463 loss_cls: 3.0415 loss_bbox: 1.6048 2024/10/27 00:08:32 - mmengine - INFO - Epoch(train) [46][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:55:11 time: 0.2318 data_time: 0.0259 memory: 2049 grad_norm: 3.2678 loss: 4.6644 loss_cls: 3.0291 loss_bbox: 1.6353 2024/10/27 00:08:44 - mmengine - INFO - Epoch(train) [46][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:54:57 time: 0.2345 data_time: 0.0265 memory: 2049 grad_norm: 3.3379 loss: 4.6534 loss_cls: 3.0533 loss_bbox: 1.6001 2024/10/27 00:08:56 - mmengine - INFO - Epoch(train) [46][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:54:43 time: 0.2408 data_time: 0.0251 memory: 2049 grad_norm: 3.0692 loss: 4.6113 loss_cls: 2.9942 loss_bbox: 1.6171 2024/10/27 00:09:07 - mmengine - INFO - Epoch(train) [46][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:54:27 time: 0.2252 data_time: 0.0264 memory: 2049 grad_norm: 3.1980 loss: 4.6277 loss_cls: 2.9980 loss_bbox: 1.6298 2024/10/27 00:09:19 - mmengine - INFO - Epoch(train) [46][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:54:12 time: 0.2309 data_time: 0.0257 memory: 2049 grad_norm: 3.3197 loss: 4.6627 loss_cls: 3.0232 loss_bbox: 1.6396 2024/10/27 00:09:31 - mmengine - INFO - Epoch(train) [46][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:53:57 time: 0.2335 data_time: 0.0252 memory: 2049 grad_norm: 3.2274 loss: 4.6361 loss_cls: 3.0267 loss_bbox: 1.6094 2024/10/27 00:09:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:09:43 - mmengine - INFO - Epoch(train) [46][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:53:42 time: 0.2377 data_time: 0.0250 memory: 2049 grad_norm: 3.1971 loss: 4.7086 loss_cls: 3.0588 loss_bbox: 1.6498 2024/10/27 00:09:55 - mmengine - INFO - Epoch(train) [46][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:53:29 time: 0.2455 data_time: 0.0266 memory: 2049 grad_norm: 3.0544 loss: 4.6632 loss_cls: 3.0367 loss_bbox: 1.6265 2024/10/27 00:10:07 - mmengine - INFO - Epoch(train) [46][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:53:15 time: 0.2405 data_time: 0.0247 memory: 2049 grad_norm: 3.2992 loss: 4.5960 loss_cls: 2.9823 loss_bbox: 1.6137 2024/10/27 00:10:19 - mmengine - INFO - Epoch(train) [46][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:53:02 time: 0.2460 data_time: 0.0241 memory: 2049 grad_norm: 3.4340 loss: 4.6508 loss_cls: 3.0430 loss_bbox: 1.6078 2024/10/27 00:10:32 - mmengine - INFO - Epoch(train) [46][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:52:50 time: 0.2513 data_time: 0.0274 memory: 2049 grad_norm: 3.1472 loss: 4.7368 loss_cls: 3.0601 loss_bbox: 1.6767 2024/10/27 00:10:44 - mmengine - INFO - Epoch(train) [46][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:52:37 time: 0.2523 data_time: 0.0226 memory: 2049 grad_norm: 3.3177 loss: 4.5606 loss_cls: 2.9929 loss_bbox: 1.5677 2024/10/27 00:10:57 - mmengine - INFO - Epoch(train) [46][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:52:26 time: 0.2562 data_time: 0.0228 memory: 2049 grad_norm: 3.0469 loss: 4.7876 loss_cls: 3.0656 loss_bbox: 1.7220 2024/10/27 00:11:10 - mmengine - INFO - Epoch(train) [46][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:52:13 time: 0.2482 data_time: 0.0238 memory: 2049 grad_norm: 3.2012 loss: 4.5907 loss_cls: 2.9919 loss_bbox: 1.5988 2024/10/27 00:11:22 - mmengine - INFO - Epoch(train) [46][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:52:01 time: 0.2572 data_time: 0.0228 memory: 2049 grad_norm: 3.4999 loss: 4.6353 loss_cls: 3.0091 loss_bbox: 1.6262 2024/10/27 00:11:35 - mmengine - INFO - Epoch(train) [46][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:51:48 time: 0.2415 data_time: 0.0232 memory: 2049 grad_norm: 3.2264 loss: 4.5983 loss_cls: 2.9916 loss_bbox: 1.6067 2024/10/27 00:11:47 - mmengine - INFO - Epoch(train) [46][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:51:36 time: 0.2572 data_time: 0.0288 memory: 2049 grad_norm: 3.4118 loss: 4.5506 loss_cls: 2.9749 loss_bbox: 1.5756 2024/10/27 00:12:01 - mmengine - INFO - Epoch(train) [46][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:51:26 time: 0.2657 data_time: 0.0338 memory: 2049 grad_norm: 3.1912 loss: 4.5815 loss_cls: 2.9756 loss_bbox: 1.6059 2024/10/27 00:12:14 - mmengine - INFO - Epoch(train) [46][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:51:14 time: 0.2587 data_time: 0.0335 memory: 2049 grad_norm: 3.2121 loss: 4.5885 loss_cls: 2.9736 loss_bbox: 1.6149 2024/10/27 00:12:27 - mmengine - INFO - Epoch(train) [46][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:51:03 time: 0.2620 data_time: 0.0275 memory: 2049 grad_norm: 3.1354 loss: 4.5384 loss_cls: 2.9520 loss_bbox: 1.5863 2024/10/27 00:12:39 - mmengine - INFO - Epoch(train) [46][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:50:50 time: 0.2434 data_time: 0.0266 memory: 2049 grad_norm: 3.2683 loss: 4.6876 loss_cls: 3.0171 loss_bbox: 1.6705 2024/10/27 00:12:52 - mmengine - INFO - Epoch(train) [46][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:50:38 time: 0.2602 data_time: 0.0251 memory: 2049 grad_norm: 3.1674 loss: 4.7230 loss_cls: 3.0437 loss_bbox: 1.6792 2024/10/27 00:13:05 - mmengine - INFO - Epoch(train) [46][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:50:28 time: 0.2688 data_time: 0.0314 memory: 2049 grad_norm: 3.3153 loss: 4.6481 loss_cls: 3.0310 loss_bbox: 1.6171 2024/10/27 00:13:19 - mmengine - INFO - Epoch(train) [46][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:50:18 time: 0.2649 data_time: 0.0253 memory: 2049 grad_norm: 3.3786 loss: 4.6480 loss_cls: 3.0099 loss_bbox: 1.6382 2024/10/27 00:13:32 - mmengine - INFO - Epoch(train) [46][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:50:08 time: 0.2708 data_time: 0.0259 memory: 2049 grad_norm: 3.0952 loss: 4.6222 loss_cls: 3.0091 loss_bbox: 1.6131 2024/10/27 00:13:44 - mmengine - INFO - Epoch(train) [46][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:49:55 time: 0.2453 data_time: 0.0273 memory: 2049 grad_norm: 3.4728 loss: 4.6278 loss_cls: 3.0110 loss_bbox: 1.6169 2024/10/27 00:13:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:13:58 - mmengine - INFO - Epoch(train) [46][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:49:46 time: 0.2747 data_time: 0.0272 memory: 2049 grad_norm: 3.1817 loss: 4.6326 loss_cls: 3.0236 loss_bbox: 1.6090 2024/10/27 00:14:12 - mmengine - INFO - Epoch(train) [46][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:49:37 time: 0.2777 data_time: 0.0341 memory: 2049 grad_norm: 3.3040 loss: 4.6685 loss_cls: 3.0401 loss_bbox: 1.6284 2024/10/27 00:14:25 - mmengine - INFO - Epoch(train) [46][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:49:26 time: 0.2670 data_time: 0.0254 memory: 2049 grad_norm: 3.1210 loss: 4.6897 loss_cls: 3.0370 loss_bbox: 1.6527 2024/10/27 00:14:39 - mmengine - INFO - Epoch(train) [46][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:49:16 time: 0.2671 data_time: 0.0269 memory: 2049 grad_norm: 3.2872 loss: 4.6082 loss_cls: 2.9765 loss_bbox: 1.6316 2024/10/27 00:14:51 - mmengine - INFO - Epoch(train) [46][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:49:04 time: 0.2520 data_time: 0.0321 memory: 2049 grad_norm: 3.3013 loss: 4.7543 loss_cls: 3.1149 loss_bbox: 1.6394 2024/10/27 00:15:05 - mmengine - INFO - Epoch(train) [46][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:48:53 time: 0.2620 data_time: 0.0260 memory: 2049 grad_norm: 3.2795 loss: 4.6201 loss_cls: 3.0095 loss_bbox: 1.6106 2024/10/27 00:15:20 - mmengine - INFO - Epoch(train) [46][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:48:48 time: 0.3090 data_time: 0.0391 memory: 2049 grad_norm: 3.3067 loss: 4.6622 loss_cls: 3.0434 loss_bbox: 1.6188 2024/10/27 00:15:34 - mmengine - INFO - Epoch(train) [46][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:48:39 time: 0.2739 data_time: 0.0343 memory: 2049 grad_norm: 3.3464 loss: 4.6291 loss_cls: 2.9985 loss_bbox: 1.6306 2024/10/27 00:15:48 - mmengine - INFO - Epoch(train) [46][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:48:30 time: 0.2765 data_time: 0.0277 memory: 2049 grad_norm: 3.1215 loss: 4.5885 loss_cls: 3.0188 loss_bbox: 1.5697 2024/10/27 00:16:02 - mmengine - INFO - Epoch(train) [46][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:48:21 time: 0.2803 data_time: 0.0241 memory: 2049 grad_norm: 3.1223 loss: 4.5432 loss_cls: 2.9354 loss_bbox: 1.6078 2024/10/27 00:16:20 - mmengine - INFO - Epoch(train) [46][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:48:23 time: 0.3604 data_time: 0.1034 memory: 2049 grad_norm: 3.3315 loss: 4.6305 loss_cls: 3.0044 loss_bbox: 1.6261 2024/10/27 00:16:33 - mmengine - INFO - Epoch(train) [46][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:48:13 time: 0.2644 data_time: 0.0235 memory: 2049 grad_norm: 3.1194 loss: 4.5780 loss_cls: 2.9906 loss_bbox: 1.5873 2024/10/27 00:16:46 - mmengine - INFO - Epoch(train) [46][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:48:02 time: 0.2672 data_time: 0.0281 memory: 2049 grad_norm: 3.3389 loss: 4.5882 loss_cls: 2.9686 loss_bbox: 1.6197 2024/10/27 00:17:00 - mmengine - INFO - Epoch(train) [46][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:47:54 time: 0.2796 data_time: 0.0318 memory: 2049 grad_norm: 3.1969 loss: 4.6270 loss_cls: 2.9949 loss_bbox: 1.6320 2024/10/27 00:17:13 - mmengine - INFO - Epoch(train) [46][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:47:41 time: 0.2524 data_time: 0.0236 memory: 2049 grad_norm: 3.3746 loss: 4.7584 loss_cls: 3.0800 loss_bbox: 1.6784 2024/10/27 00:17:26 - mmengine - INFO - Epoch(train) [46][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:47:32 time: 0.2714 data_time: 0.0222 memory: 2049 grad_norm: 3.2433 loss: 4.7540 loss_cls: 3.0854 loss_bbox: 1.6686 2024/10/27 00:17:40 - mmengine - INFO - Epoch(train) [46][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:47:21 time: 0.2663 data_time: 0.0265 memory: 2049 grad_norm: 3.3306 loss: 4.5958 loss_cls: 3.0085 loss_bbox: 1.5873 2024/10/27 00:17:54 - mmengine - INFO - Epoch(train) [46][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:47:12 time: 0.2777 data_time: 0.0293 memory: 2049 grad_norm: 3.5253 loss: 4.6257 loss_cls: 2.9788 loss_bbox: 1.6470 2024/10/27 00:18:07 - mmengine - INFO - Epoch(train) [46][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:47:02 time: 0.2705 data_time: 0.0227 memory: 2049 grad_norm: 3.0129 loss: 4.6910 loss_cls: 3.0482 loss_bbox: 1.6428 2024/10/27 00:18:21 - mmengine - INFO - Epoch(train) [46][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:46:52 time: 0.2705 data_time: 0.0266 memory: 2049 grad_norm: 3.1706 loss: 4.7054 loss_cls: 3.0425 loss_bbox: 1.6630 2024/10/27 00:18:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:18:34 - mmengine - INFO - Epoch(train) [46][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:46:43 time: 0.2723 data_time: 0.0235 memory: 2049 grad_norm: 3.2153 loss: 4.6250 loss_cls: 3.0398 loss_bbox: 1.5852 2024/10/27 00:18:47 - mmengine - INFO - Epoch(train) [46][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:46:31 time: 0.2617 data_time: 0.0218 memory: 2049 grad_norm: 3.1508 loss: 4.7191 loss_cls: 3.0200 loss_bbox: 1.6991 2024/10/27 00:19:01 - mmengine - INFO - Epoch(train) [46][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:46:22 time: 0.2723 data_time: 0.0265 memory: 2049 grad_norm: 3.2704 loss: 4.6479 loss_cls: 3.0129 loss_bbox: 1.6351 2024/10/27 00:19:14 - mmengine - INFO - Epoch(train) [46][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:46:10 time: 0.2576 data_time: 0.0231 memory: 2049 grad_norm: 3.0439 loss: 4.5389 loss_cls: 2.9269 loss_bbox: 1.6121 2024/10/27 00:19:27 - mmengine - INFO - Epoch(train) [46][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:46:00 time: 0.2676 data_time: 0.0278 memory: 2049 grad_norm: 3.1534 loss: 4.6110 loss_cls: 3.0085 loss_bbox: 1.6024 2024/10/27 00:19:40 - mmengine - INFO - Epoch(train) [46][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:45:48 time: 0.2598 data_time: 0.0239 memory: 2049 grad_norm: 3.2485 loss: 4.6184 loss_cls: 2.9999 loss_bbox: 1.6185 2024/10/27 00:19:53 - mmengine - INFO - Epoch(train) [46][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:45:37 time: 0.2598 data_time: 0.0259 memory: 2049 grad_norm: 3.3331 loss: 4.6793 loss_cls: 3.0847 loss_bbox: 1.5946 2024/10/27 00:20:07 - mmengine - INFO - Epoch(train) [46][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:45:27 time: 0.2673 data_time: 0.0227 memory: 2049 grad_norm: 3.2251 loss: 4.7290 loss_cls: 3.0802 loss_bbox: 1.6488 2024/10/27 00:20:20 - mmengine - INFO - Epoch(train) [46][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:45:16 time: 0.2623 data_time: 0.0242 memory: 2049 grad_norm: 3.2016 loss: 4.6406 loss_cls: 3.0204 loss_bbox: 1.6202 2024/10/27 00:20:33 - mmengine - INFO - Epoch(train) [46][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:45:04 time: 0.2598 data_time: 0.0267 memory: 2049 grad_norm: 3.3011 loss: 4.6396 loss_cls: 3.0186 loss_bbox: 1.6210 2024/10/27 00:20:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:20:33 - mmengine - INFO - Saving checkpoint at 46 epochs 2024/10/27 00:20:48 - mmengine - INFO - Epoch(train) [47][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:44:50 time: 0.2508 data_time: 0.0348 memory: 2049 grad_norm: 3.2712 loss: 4.6155 loss_cls: 3.0272 loss_bbox: 1.5882 2024/10/27 00:21:00 - mmengine - INFO - Epoch(train) [47][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:44:37 time: 0.2484 data_time: 0.0229 memory: 2049 grad_norm: 3.0846 loss: 4.6125 loss_cls: 3.0306 loss_bbox: 1.5818 2024/10/27 00:21:14 - mmengine - INFO - Epoch(train) [47][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:44:27 time: 0.2643 data_time: 0.0284 memory: 2049 grad_norm: 3.1269 loss: 4.6866 loss_cls: 3.0299 loss_bbox: 1.6567 2024/10/27 00:21:26 - mmengine - INFO - Epoch(train) [47][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:44:12 time: 0.2395 data_time: 0.0231 memory: 2049 grad_norm: 3.3739 loss: 4.6367 loss_cls: 3.0127 loss_bbox: 1.6241 2024/10/27 00:21:39 - mmengine - INFO - Epoch(train) [47][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:44:01 time: 0.2573 data_time: 0.0245 memory: 2049 grad_norm: 3.2048 loss: 4.4985 loss_cls: 2.9544 loss_bbox: 1.5441 2024/10/27 00:21:51 - mmengine - INFO - Epoch(train) [47][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:43:48 time: 0.2492 data_time: 0.0258 memory: 2049 grad_norm: 3.0220 loss: 4.6174 loss_cls: 3.0156 loss_bbox: 1.6018 2024/10/27 00:22:04 - mmengine - INFO - Epoch(train) [47][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:43:37 time: 0.2604 data_time: 0.0250 memory: 2049 grad_norm: 3.4771 loss: 4.5894 loss_cls: 2.9768 loss_bbox: 1.6127 2024/10/27 00:22:18 - mmengine - INFO - Epoch(train) [47][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:43:28 time: 0.2799 data_time: 0.0487 memory: 2049 grad_norm: 3.3919 loss: 4.5532 loss_cls: 2.9741 loss_bbox: 1.5791 2024/10/27 00:22:31 - mmengine - INFO - Epoch(train) [47][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:43:15 time: 0.2507 data_time: 0.0231 memory: 2049 grad_norm: 3.1530 loss: 4.6840 loss_cls: 3.0449 loss_bbox: 1.6392 2024/10/27 00:22:44 - mmengine - INFO - Epoch(train) [47][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:43:04 time: 0.2636 data_time: 0.0273 memory: 2049 grad_norm: 3.3100 loss: 4.7792 loss_cls: 3.1211 loss_bbox: 1.6582 2024/10/27 00:22:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:22:57 - mmengine - INFO - Epoch(train) [47][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:42:52 time: 0.2550 data_time: 0.0208 memory: 2049 grad_norm: 3.2088 loss: 4.6643 loss_cls: 3.0368 loss_bbox: 1.6274 2024/10/27 00:23:10 - mmengine - INFO - Epoch(train) [47][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:42:42 time: 0.2632 data_time: 0.0239 memory: 2049 grad_norm: 3.1129 loss: 4.6894 loss_cls: 3.0597 loss_bbox: 1.6297 2024/10/27 00:23:22 - mmengine - INFO - Epoch(train) [47][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:42:29 time: 0.2513 data_time: 0.0253 memory: 2049 grad_norm: 3.1586 loss: 4.5978 loss_cls: 2.9987 loss_bbox: 1.5991 2024/10/27 00:23:35 - mmengine - INFO - Epoch(train) [47][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:42:16 time: 0.2457 data_time: 0.0268 memory: 2049 grad_norm: 3.2600 loss: 4.7463 loss_cls: 3.0627 loss_bbox: 1.6836 2024/10/27 00:23:47 - mmengine - INFO - Epoch(train) [47][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:42:04 time: 0.2564 data_time: 0.0234 memory: 2049 grad_norm: 3.2471 loss: 4.5849 loss_cls: 3.0122 loss_bbox: 1.5727 2024/10/27 00:24:01 - mmengine - INFO - Epoch(train) [47][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:41:54 time: 0.2721 data_time: 0.0354 memory: 2049 grad_norm: 3.1016 loss: 4.6218 loss_cls: 3.0250 loss_bbox: 1.5968 2024/10/27 00:24:14 - mmengine - INFO - Epoch(train) [47][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:41:43 time: 0.2641 data_time: 0.0287 memory: 2049 grad_norm: 3.2675 loss: 4.6474 loss_cls: 3.0500 loss_bbox: 1.5974 2024/10/27 00:24:27 - mmengine - INFO - Epoch(train) [47][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:41:31 time: 0.2558 data_time: 0.0274 memory: 2049 grad_norm: 3.0280 loss: 4.6744 loss_cls: 3.0472 loss_bbox: 1.6271 2024/10/27 00:24:39 - mmengine - INFO - Epoch(train) [47][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:41:19 time: 0.2487 data_time: 0.0247 memory: 2049 grad_norm: 3.5356 loss: 4.6647 loss_cls: 3.0367 loss_bbox: 1.6280 2024/10/27 00:24:53 - mmengine - INFO - Epoch(train) [47][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:41:09 time: 0.2716 data_time: 0.0356 memory: 2049 grad_norm: 3.2734 loss: 4.7202 loss_cls: 3.0409 loss_bbox: 1.6792 2024/10/27 00:25:06 - mmengine - INFO - Epoch(train) [47][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:40:58 time: 0.2633 data_time: 0.0224 memory: 2049 grad_norm: 3.2293 loss: 4.6309 loss_cls: 2.9922 loss_bbox: 1.6386 2024/10/27 00:25:20 - mmengine - INFO - Epoch(train) [47][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:40:48 time: 0.2710 data_time: 0.0321 memory: 2049 grad_norm: 3.4357 loss: 4.5942 loss_cls: 2.9417 loss_bbox: 1.6525 2024/10/27 00:25:33 - mmengine - INFO - Epoch(train) [47][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:40:36 time: 0.2553 data_time: 0.0227 memory: 2049 grad_norm: 3.3053 loss: 4.5648 loss_cls: 2.9628 loss_bbox: 1.6019 2024/10/27 00:25:45 - mmengine - INFO - Epoch(train) [47][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:40:23 time: 0.2508 data_time: 0.0223 memory: 2049 grad_norm: 3.3761 loss: 4.6075 loss_cls: 2.9828 loss_bbox: 1.6248 2024/10/27 00:25:58 - mmengine - INFO - Epoch(train) [47][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:40:13 time: 0.2659 data_time: 0.0237 memory: 2049 grad_norm: 3.2688 loss: 4.4834 loss_cls: 2.9388 loss_bbox: 1.5446 2024/10/27 00:26:11 - mmengine - INFO - Epoch(train) [47][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:40:01 time: 0.2596 data_time: 0.0227 memory: 2049 grad_norm: 3.0997 loss: 4.7155 loss_cls: 3.0604 loss_bbox: 1.6551 2024/10/27 00:26:24 - mmengine - INFO - Epoch(train) [47][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:39:50 time: 0.2595 data_time: 0.0252 memory: 2049 grad_norm: 3.1248 loss: 4.5358 loss_cls: 2.9606 loss_bbox: 1.5752 2024/10/27 00:26:37 - mmengine - INFO - Epoch(train) [47][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:39:38 time: 0.2536 data_time: 0.0293 memory: 2049 grad_norm: 3.1312 loss: 4.7078 loss_cls: 3.0613 loss_bbox: 1.6465 2024/10/27 00:26:49 - mmengine - INFO - Epoch(train) [47][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:39:24 time: 0.2439 data_time: 0.0232 memory: 2049 grad_norm: 3.1327 loss: 4.5081 loss_cls: 2.9254 loss_bbox: 1.5827 2024/10/27 00:27:02 - mmengine - INFO - Epoch(train) [47][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:39:13 time: 0.2610 data_time: 0.0234 memory: 2049 grad_norm: 3.6644 loss: 4.7197 loss_cls: 3.0888 loss_bbox: 1.6310 2024/10/27 00:27:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:27:18 - mmengine - INFO - Epoch(train) [47][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:39:10 time: 0.3229 data_time: 0.0869 memory: 2049 grad_norm: 3.8082 loss: 4.6033 loss_cls: 2.9629 loss_bbox: 1.6404 2024/10/27 00:27:31 - mmengine - INFO - Epoch(train) [47][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:38:57 time: 0.2533 data_time: 0.0240 memory: 2049 grad_norm: 3.3309 loss: 4.6245 loss_cls: 3.0545 loss_bbox: 1.5700 2024/10/27 00:27:43 - mmengine - INFO - Epoch(train) [47][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:38:44 time: 0.2420 data_time: 0.0255 memory: 2049 grad_norm: 3.1981 loss: 4.5831 loss_cls: 2.9771 loss_bbox: 1.6060 2024/10/27 00:27:56 - mmengine - INFO - Epoch(train) [47][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:38:31 time: 0.2486 data_time: 0.0252 memory: 2049 grad_norm: 3.1640 loss: 4.7597 loss_cls: 3.0988 loss_bbox: 1.6609 2024/10/27 00:28:09 - mmengine - INFO - Epoch(train) [47][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:38:19 time: 0.2565 data_time: 0.0242 memory: 2049 grad_norm: 3.3881 loss: 4.5485 loss_cls: 3.0000 loss_bbox: 1.5485 2024/10/27 00:28:21 - mmengine - INFO - Epoch(train) [47][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:38:07 time: 0.2572 data_time: 0.0246 memory: 2049 grad_norm: 3.2927 loss: 4.6778 loss_cls: 3.0204 loss_bbox: 1.6574 2024/10/27 00:28:34 - mmengine - INFO - Epoch(train) [47][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:37:54 time: 0.2437 data_time: 0.0251 memory: 2049 grad_norm: 3.1754 loss: 4.5334 loss_cls: 2.9601 loss_bbox: 1.5732 2024/10/27 00:28:46 - mmengine - INFO - Epoch(train) [47][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:37:41 time: 0.2511 data_time: 0.0241 memory: 2049 grad_norm: 3.0833 loss: 4.6602 loss_cls: 3.0648 loss_bbox: 1.5954 2024/10/27 00:28:58 - mmengine - INFO - Epoch(train) [47][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:37:27 time: 0.2407 data_time: 0.0247 memory: 2049 grad_norm: 3.1642 loss: 4.5590 loss_cls: 2.9696 loss_bbox: 1.5894 2024/10/27 00:29:11 - mmengine - INFO - Epoch(train) [47][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:37:15 time: 0.2544 data_time: 0.0245 memory: 2049 grad_norm: 3.1876 loss: 4.7229 loss_cls: 3.0745 loss_bbox: 1.6485 2024/10/27 00:29:24 - mmengine - INFO - Epoch(train) [47][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:37:04 time: 0.2622 data_time: 0.0257 memory: 2049 grad_norm: 3.2440 loss: 4.6252 loss_cls: 2.9955 loss_bbox: 1.6297 2024/10/27 00:29:37 - mmengine - INFO - Epoch(train) [47][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:36:51 time: 0.2510 data_time: 0.0267 memory: 2049 grad_norm: 3.1079 loss: 4.7299 loss_cls: 3.0385 loss_bbox: 1.6914 2024/10/27 00:29:50 - mmengine - INFO - Epoch(train) [47][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:36:40 time: 0.2631 data_time: 0.0289 memory: 2049 grad_norm: 3.2476 loss: 4.6202 loss_cls: 2.9576 loss_bbox: 1.6625 2024/10/27 00:30:02 - mmengine - INFO - Epoch(train) [47][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:36:28 time: 0.2523 data_time: 0.0229 memory: 2049 grad_norm: 3.2532 loss: 4.6679 loss_cls: 3.0059 loss_bbox: 1.6620 2024/10/27 00:30:18 - mmengine - INFO - Epoch(train) [47][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:36:24 time: 0.3183 data_time: 0.0858 memory: 2049 grad_norm: 3.1832 loss: 4.6621 loss_cls: 3.0087 loss_bbox: 1.6535 2024/10/27 00:30:31 - mmengine - INFO - Epoch(train) [47][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:36:13 time: 0.2601 data_time: 0.0232 memory: 2049 grad_norm: 3.2054 loss: 4.6163 loss_cls: 2.9871 loss_bbox: 1.6292 2024/10/27 00:30:44 - mmengine - INFO - Epoch(train) [47][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:36:00 time: 0.2483 data_time: 0.0302 memory: 2049 grad_norm: 2.9934 loss: 4.7220 loss_cls: 3.0569 loss_bbox: 1.6651 2024/10/27 00:30:57 - mmengine - INFO - Epoch(train) [47][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:35:48 time: 0.2578 data_time: 0.0230 memory: 2049 grad_norm: 3.2329 loss: 4.6605 loss_cls: 3.0441 loss_bbox: 1.6164 2024/10/27 00:31:09 - mmengine - INFO - Epoch(train) [47][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:35:35 time: 0.2517 data_time: 0.0242 memory: 2049 grad_norm: 3.0456 loss: 4.6198 loss_cls: 3.0221 loss_bbox: 1.5978 2024/10/27 00:31:22 - mmengine - INFO - Epoch(train) [47][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:35:24 time: 0.2579 data_time: 0.0228 memory: 2049 grad_norm: 3.3028 loss: 4.7264 loss_cls: 3.0637 loss_bbox: 1.6628 2024/10/27 00:31:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:31:35 - mmengine - INFO - Epoch(train) [47][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:35:13 time: 0.2639 data_time: 0.0263 memory: 2049 grad_norm: 3.0752 loss: 4.6161 loss_cls: 2.9596 loss_bbox: 1.6565 2024/10/27 00:31:48 - mmengine - INFO - Epoch(train) [47][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:35:01 time: 0.2535 data_time: 0.0330 memory: 2049 grad_norm: 3.1582 loss: 4.6560 loss_cls: 3.0236 loss_bbox: 1.6324 2024/10/27 00:32:01 - mmengine - INFO - Epoch(train) [47][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:34:49 time: 0.2610 data_time: 0.0254 memory: 2049 grad_norm: 3.3768 loss: 4.6232 loss_cls: 2.9662 loss_bbox: 1.6571 2024/10/27 00:32:14 - mmengine - INFO - Epoch(train) [47][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:34:37 time: 0.2515 data_time: 0.0276 memory: 2049 grad_norm: 3.3789 loss: 4.4660 loss_cls: 2.9299 loss_bbox: 1.5361 2024/10/27 00:32:27 - mmengine - INFO - Epoch(train) [47][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:34:26 time: 0.2643 data_time: 0.0244 memory: 2049 grad_norm: 3.1365 loss: 4.6742 loss_cls: 3.0177 loss_bbox: 1.6566 2024/10/27 00:32:39 - mmengine - INFO - Epoch(train) [47][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:34:13 time: 0.2518 data_time: 0.0226 memory: 2049 grad_norm: 3.1815 loss: 4.6035 loss_cls: 3.0007 loss_bbox: 1.6028 2024/10/27 00:32:52 - mmengine - INFO - Epoch(train) [47][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:34:01 time: 0.2547 data_time: 0.0228 memory: 2049 grad_norm: 3.0244 loss: 4.6380 loss_cls: 3.0317 loss_bbox: 1.6063 2024/10/27 00:33:05 - mmengine - INFO - Epoch(train) [47][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:33:50 time: 0.2630 data_time: 0.0329 memory: 2049 grad_norm: 3.3306 loss: 4.5944 loss_cls: 2.9864 loss_bbox: 1.6081 2024/10/27 00:33:18 - mmengine - INFO - Epoch(train) [47][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:33:39 time: 0.2582 data_time: 0.0310 memory: 2049 grad_norm: 3.5032 loss: 4.6935 loss_cls: 3.0370 loss_bbox: 1.6564 2024/10/27 00:33:32 - mmengine - INFO - Epoch(train) [47][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:33:28 time: 0.2650 data_time: 0.0219 memory: 2049 grad_norm: 3.3766 loss: 4.6223 loss_cls: 3.0018 loss_bbox: 1.6205 2024/10/27 00:33:44 - mmengine - INFO - Epoch(train) [47][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:33:14 time: 0.2419 data_time: 0.0228 memory: 2049 grad_norm: 3.1295 loss: 4.5514 loss_cls: 2.9782 loss_bbox: 1.5732 2024/10/27 00:33:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:33:44 - mmengine - INFO - Saving checkpoint at 47 epochs 2024/10/27 00:34:00 - mmengine - INFO - Epoch(train) [48][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:32:59 time: 0.2465 data_time: 0.0339 memory: 2049 grad_norm: 3.2343 loss: 4.6144 loss_cls: 3.0110 loss_bbox: 1.6034 2024/10/27 00:34:12 - mmengine - INFO - Epoch(train) [48][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:32:45 time: 0.2367 data_time: 0.0241 memory: 2049 grad_norm: 3.1267 loss: 4.6998 loss_cls: 3.0408 loss_bbox: 1.6590 2024/10/27 00:34:23 - mmengine - INFO - Epoch(train) [48][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:32:31 time: 0.2371 data_time: 0.0247 memory: 2049 grad_norm: 3.0776 loss: 4.6225 loss_cls: 3.0399 loss_bbox: 1.5826 2024/10/27 00:34:36 - mmengine - INFO - Epoch(train) [48][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:32:18 time: 0.2487 data_time: 0.0267 memory: 2049 grad_norm: 3.4019 loss: 4.5011 loss_cls: 2.9110 loss_bbox: 1.5901 2024/10/27 00:34:47 - mmengine - INFO - Epoch(train) [48][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:32:02 time: 0.2239 data_time: 0.0249 memory: 2049 grad_norm: 3.3322 loss: 4.5255 loss_cls: 2.9703 loss_bbox: 1.5552 2024/10/27 00:34:59 - mmengine - INFO - Epoch(train) [48][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:31:48 time: 0.2376 data_time: 0.0249 memory: 2049 grad_norm: 3.2633 loss: 4.7096 loss_cls: 3.0570 loss_bbox: 1.6526 2024/10/27 00:35:11 - mmengine - INFO - Epoch(train) [48][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:31:34 time: 0.2442 data_time: 0.0262 memory: 2049 grad_norm: 3.3817 loss: 4.6419 loss_cls: 3.0313 loss_bbox: 1.6106 2024/10/27 00:35:23 - mmengine - INFO - Epoch(train) [48][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:31:21 time: 0.2447 data_time: 0.0237 memory: 2049 grad_norm: 3.1943 loss: 4.7348 loss_cls: 3.0815 loss_bbox: 1.6533 2024/10/27 00:35:36 - mmengine - INFO - Epoch(train) [48][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:31:07 time: 0.2425 data_time: 0.0268 memory: 2049 grad_norm: 3.2540 loss: 4.5959 loss_cls: 2.9888 loss_bbox: 1.6071 2024/10/27 00:35:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:35:47 - mmengine - INFO - Epoch(train) [48][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:30:53 time: 0.2359 data_time: 0.0261 memory: 2049 grad_norm: 3.0547 loss: 4.5266 loss_cls: 2.9281 loss_bbox: 1.5985 2024/10/27 00:36:00 - mmengine - INFO - Epoch(train) [48][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:30:41 time: 0.2567 data_time: 0.0315 memory: 2049 grad_norm: 3.3013 loss: 4.5952 loss_cls: 2.9537 loss_bbox: 1.6415 2024/10/27 00:36:12 - mmengine - INFO - Epoch(train) [48][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:30:27 time: 0.2439 data_time: 0.0245 memory: 2049 grad_norm: 3.2167 loss: 4.4701 loss_cls: 2.9001 loss_bbox: 1.5700 2024/10/27 00:36:25 - mmengine - INFO - Epoch(train) [48][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:30:15 time: 0.2545 data_time: 0.0335 memory: 2049 grad_norm: 3.1796 loss: 4.6315 loss_cls: 3.0089 loss_bbox: 1.6226 2024/10/27 00:36:37 - mmengine - INFO - Epoch(train) [48][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:30:01 time: 0.2410 data_time: 0.0251 memory: 2049 grad_norm: 3.1808 loss: 4.6127 loss_cls: 2.9561 loss_bbox: 1.6566 2024/10/27 00:36:49 - mmengine - INFO - Epoch(train) [48][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:29:48 time: 0.2457 data_time: 0.0251 memory: 2049 grad_norm: 2.9393 loss: 4.5411 loss_cls: 2.9923 loss_bbox: 1.5488 2024/10/27 00:37:01 - mmengine - INFO - Epoch(train) [48][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:29:34 time: 0.2404 data_time: 0.0242 memory: 2049 grad_norm: 3.0983 loss: 4.6362 loss_cls: 2.9881 loss_bbox: 1.6480 2024/10/27 00:37:14 - mmengine - INFO - Epoch(train) [48][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:29:21 time: 0.2431 data_time: 0.0284 memory: 2049 grad_norm: 3.2520 loss: 4.6747 loss_cls: 3.0227 loss_bbox: 1.6520 2024/10/27 00:37:26 - mmengine - INFO - Epoch(train) [48][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:29:08 time: 0.2463 data_time: 0.0254 memory: 2049 grad_norm: 3.1522 loss: 4.6090 loss_cls: 3.0129 loss_bbox: 1.5960 2024/10/27 00:37:38 - mmengine - INFO - Epoch(train) [48][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:28:55 time: 0.2490 data_time: 0.0284 memory: 2049 grad_norm: 3.2239 loss: 4.5889 loss_cls: 3.0100 loss_bbox: 1.5789 2024/10/27 00:37:51 - mmengine - INFO - Epoch(train) [48][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:28:43 time: 0.2532 data_time: 0.0235 memory: 2049 grad_norm: 3.3620 loss: 4.6446 loss_cls: 2.9880 loss_bbox: 1.6566 2024/10/27 00:38:03 - mmengine - INFO - Epoch(train) [48][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:28:29 time: 0.2441 data_time: 0.0258 memory: 2049 grad_norm: 3.0939 loss: 4.5665 loss_cls: 3.0452 loss_bbox: 1.5214 2024/10/27 00:38:18 - mmengine - INFO - Epoch(train) [48][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:28:23 time: 0.3001 data_time: 0.0782 memory: 2049 grad_norm: 3.2376 loss: 4.5176 loss_cls: 2.9560 loss_bbox: 1.5616 2024/10/27 00:38:30 - mmengine - INFO - Epoch(train) [48][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:28:09 time: 0.2407 data_time: 0.0254 memory: 2049 grad_norm: 3.4984 loss: 4.7226 loss_cls: 3.0558 loss_bbox: 1.6669 2024/10/27 00:38:43 - mmengine - INFO - Epoch(train) [48][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:27:56 time: 0.2492 data_time: 0.0309 memory: 2049 grad_norm: 3.1967 loss: 4.6370 loss_cls: 3.0101 loss_bbox: 1.6270 2024/10/27 00:38:55 - mmengine - INFO - Epoch(train) [48][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:27:43 time: 0.2494 data_time: 0.0263 memory: 2049 grad_norm: 3.3409 loss: 4.5983 loss_cls: 2.9860 loss_bbox: 1.6123 2024/10/27 00:39:08 - mmengine - INFO - Epoch(train) [48][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:27:30 time: 0.2495 data_time: 0.0260 memory: 2049 grad_norm: 3.2033 loss: 4.6415 loss_cls: 3.0268 loss_bbox: 1.6147 2024/10/27 00:39:20 - mmengine - INFO - Epoch(train) [48][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:27:18 time: 0.2535 data_time: 0.0291 memory: 2049 grad_norm: 2.9881 loss: 4.5894 loss_cls: 2.9942 loss_bbox: 1.5952 2024/10/27 00:39:33 - mmengine - INFO - Epoch(train) [48][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:27:05 time: 0.2459 data_time: 0.0292 memory: 2049 grad_norm: 3.0667 loss: 4.6181 loss_cls: 3.0070 loss_bbox: 1.6111 2024/10/27 00:39:45 - mmengine - INFO - Epoch(train) [48][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:26:52 time: 0.2436 data_time: 0.0248 memory: 2049 grad_norm: 3.0729 loss: 4.5863 loss_cls: 3.0239 loss_bbox: 1.5624 2024/10/27 00:39:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:39:58 - mmengine - INFO - Epoch(train) [48][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:26:40 time: 0.2561 data_time: 0.0284 memory: 2049 grad_norm: 3.2762 loss: 4.6986 loss_cls: 3.0742 loss_bbox: 1.6244 2024/10/27 00:40:10 - mmengine - INFO - Epoch(train) [48][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:26:27 time: 0.2470 data_time: 0.0259 memory: 2049 grad_norm: 3.4124 loss: 4.5633 loss_cls: 2.9789 loss_bbox: 1.5844 2024/10/27 00:40:23 - mmengine - INFO - Epoch(train) [48][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:26:14 time: 0.2519 data_time: 0.0232 memory: 2049 grad_norm: 3.1087 loss: 4.7120 loss_cls: 3.0411 loss_bbox: 1.6709 2024/10/27 00:40:35 - mmengine - INFO - Epoch(train) [48][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:26:02 time: 0.2513 data_time: 0.0233 memory: 2049 grad_norm: 2.9904 loss: 4.5823 loss_cls: 2.9889 loss_bbox: 1.5934 2024/10/27 00:40:47 - mmengine - INFO - Epoch(train) [48][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:25:47 time: 0.2360 data_time: 0.0241 memory: 2049 grad_norm: 3.2215 loss: 4.6534 loss_cls: 3.0035 loss_bbox: 1.6498 2024/10/27 00:41:00 - mmengine - INFO - Epoch(train) [48][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:25:36 time: 0.2582 data_time: 0.0253 memory: 2049 grad_norm: 3.0945 loss: 4.6726 loss_cls: 3.0369 loss_bbox: 1.6357 2024/10/27 00:41:12 - mmengine - INFO - Epoch(train) [48][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:25:23 time: 0.2491 data_time: 0.0274 memory: 2049 grad_norm: 3.2319 loss: 4.6227 loss_cls: 2.9821 loss_bbox: 1.6406 2024/10/27 00:41:26 - mmengine - INFO - Epoch(train) [48][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:25:11 time: 0.2619 data_time: 0.0262 memory: 2049 grad_norm: 3.0833 loss: 4.6046 loss_cls: 3.0095 loss_bbox: 1.5951 2024/10/27 00:41:39 - mmengine - INFO - Epoch(train) [48][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:25:01 time: 0.2643 data_time: 0.0274 memory: 2049 grad_norm: 2.9500 loss: 4.5967 loss_cls: 2.9790 loss_bbox: 1.6178 2024/10/27 00:41:52 - mmengine - INFO - Epoch(train) [48][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:24:49 time: 0.2582 data_time: 0.0289 memory: 2049 grad_norm: 3.3941 loss: 4.6882 loss_cls: 3.0585 loss_bbox: 1.6296 2024/10/27 00:42:05 - mmengine - INFO - Epoch(train) [48][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:24:37 time: 0.2559 data_time: 0.0344 memory: 2049 grad_norm: 3.4219 loss: 4.6799 loss_cls: 3.0940 loss_bbox: 1.5859 2024/10/27 00:42:18 - mmengine - INFO - Epoch(train) [48][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:24:27 time: 0.2733 data_time: 0.0439 memory: 2049 grad_norm: 3.1610 loss: 4.6155 loss_cls: 2.9582 loss_bbox: 1.6574 2024/10/27 00:42:31 - mmengine - INFO - Epoch(train) [48][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:24:15 time: 0.2544 data_time: 0.0332 memory: 2049 grad_norm: 3.2227 loss: 4.5652 loss_cls: 2.9486 loss_bbox: 1.6167 2024/10/27 00:42:44 - mmengine - INFO - Epoch(train) [48][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:24:03 time: 0.2597 data_time: 0.0266 memory: 2049 grad_norm: 3.4481 loss: 4.5758 loss_cls: 2.9659 loss_bbox: 1.6099 2024/10/27 00:42:57 - mmengine - INFO - Epoch(train) [48][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:23:52 time: 0.2579 data_time: 0.0370 memory: 2049 grad_norm: 3.2845 loss: 4.6117 loss_cls: 3.0411 loss_bbox: 1.5706 2024/10/27 00:43:09 - mmengine - INFO - Epoch(train) [48][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:23:39 time: 0.2517 data_time: 0.0247 memory: 2049 grad_norm: 3.4032 loss: 4.5728 loss_cls: 2.9777 loss_bbox: 1.5950 2024/10/27 00:43:22 - mmengine - INFO - Epoch(train) [48][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:23:26 time: 0.2498 data_time: 0.0236 memory: 2049 grad_norm: 3.2465 loss: 4.6635 loss_cls: 3.0157 loss_bbox: 1.6478 2024/10/27 00:43:34 - mmengine - INFO - Epoch(train) [48][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:23:13 time: 0.2458 data_time: 0.0283 memory: 2049 grad_norm: 3.1572 loss: 4.7070 loss_cls: 3.0516 loss_bbox: 1.6554 2024/10/27 00:43:47 - mmengine - INFO - Epoch(train) [48][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:23:01 time: 0.2536 data_time: 0.0233 memory: 2049 grad_norm: 3.1438 loss: 4.6060 loss_cls: 3.0356 loss_bbox: 1.5704 2024/10/27 00:44:00 - mmengine - INFO - Epoch(train) [48][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:22:49 time: 0.2592 data_time: 0.0371 memory: 2049 grad_norm: 3.6706 loss: 4.6777 loss_cls: 3.0158 loss_bbox: 1.6619 2024/10/27 00:44:03 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:44:12 - mmengine - INFO - Epoch(train) [48][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:22:37 time: 0.2490 data_time: 0.0251 memory: 2049 grad_norm: 3.2057 loss: 4.5525 loss_cls: 2.9765 loss_bbox: 1.5760 2024/10/27 00:44:25 - mmengine - INFO - Epoch(train) [48][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:22:24 time: 0.2502 data_time: 0.0243 memory: 2049 grad_norm: 3.3081 loss: 4.6463 loss_cls: 3.0004 loss_bbox: 1.6460 2024/10/27 00:44:38 - mmengine - INFO - Epoch(train) [48][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:22:12 time: 0.2555 data_time: 0.0337 memory: 2049 grad_norm: 3.5374 loss: 4.5383 loss_cls: 2.9705 loss_bbox: 1.5678 2024/10/27 00:44:50 - mmengine - INFO - Epoch(train) [48][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:22:00 time: 0.2542 data_time: 0.0250 memory: 2049 grad_norm: 3.2320 loss: 4.5689 loss_cls: 2.9803 loss_bbox: 1.5886 2024/10/27 00:45:03 - mmengine - INFO - Epoch(train) [48][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:21:47 time: 0.2519 data_time: 0.0254 memory: 2049 grad_norm: 3.3545 loss: 4.6358 loss_cls: 3.0476 loss_bbox: 1.5882 2024/10/27 00:45:18 - mmengine - INFO - Epoch(train) [48][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:21:40 time: 0.2967 data_time: 0.0744 memory: 2049 grad_norm: 3.2231 loss: 4.6249 loss_cls: 3.0192 loss_bbox: 1.6057 2024/10/27 00:45:30 - mmengine - INFO - Epoch(train) [48][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:21:28 time: 0.2528 data_time: 0.0238 memory: 2049 grad_norm: 3.0998 loss: 4.6348 loss_cls: 3.0327 loss_bbox: 1.6021 2024/10/27 00:45:43 - mmengine - INFO - Epoch(train) [48][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:21:14 time: 0.2434 data_time: 0.0288 memory: 2049 grad_norm: 3.3669 loss: 4.6098 loss_cls: 2.9773 loss_bbox: 1.6325 2024/10/27 00:45:55 - mmengine - INFO - Epoch(train) [48][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:21:02 time: 0.2506 data_time: 0.0234 memory: 2049 grad_norm: 3.2116 loss: 4.6670 loss_cls: 3.0164 loss_bbox: 1.6505 2024/10/27 00:46:08 - mmengine - INFO - Epoch(train) [48][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:20:49 time: 0.2499 data_time: 0.0290 memory: 2049 grad_norm: 3.5344 loss: 4.5706 loss_cls: 2.9820 loss_bbox: 1.5885 2024/10/27 00:46:20 - mmengine - INFO - Epoch(train) [48][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:20:36 time: 0.2506 data_time: 0.0254 memory: 2049 grad_norm: 3.2344 loss: 4.6241 loss_cls: 3.0389 loss_bbox: 1.5852 2024/10/27 00:46:33 - mmengine - INFO - Epoch(train) [48][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:20:24 time: 0.2512 data_time: 0.0257 memory: 2049 grad_norm: 3.3415 loss: 4.6161 loss_cls: 2.9947 loss_bbox: 1.6215 2024/10/27 00:46:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:46:34 - mmengine - INFO - Saving checkpoint at 48 epochs 2024/10/27 00:46:48 - mmengine - INFO - Epoch(train) [49][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:20:09 time: 0.2429 data_time: 0.0438 memory: 2049 grad_norm: 3.0276 loss: 4.5674 loss_cls: 2.9984 loss_bbox: 1.5690 2024/10/27 00:47:00 - mmengine - INFO - Epoch(train) [49][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:19:56 time: 0.2455 data_time: 0.0245 memory: 2049 grad_norm: 3.2495 loss: 4.5620 loss_cls: 2.9542 loss_bbox: 1.6078 2024/10/27 00:47:12 - mmengine - INFO - Epoch(train) [49][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:19:42 time: 0.2368 data_time: 0.0242 memory: 2049 grad_norm: 3.3336 loss: 4.5883 loss_cls: 2.9826 loss_bbox: 1.6056 2024/10/27 00:47:23 - mmengine - INFO - Epoch(train) [49][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:19:27 time: 0.2314 data_time: 0.0244 memory: 2049 grad_norm: 3.5098 loss: 4.6571 loss_cls: 2.9929 loss_bbox: 1.6642 2024/10/27 00:47:36 - mmengine - INFO - Epoch(train) [49][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:19:13 time: 0.2453 data_time: 0.0244 memory: 2049 grad_norm: 3.2490 loss: 4.7205 loss_cls: 3.0409 loss_bbox: 1.6796 2024/10/27 00:47:47 - mmengine - INFO - Epoch(train) [49][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:18:58 time: 0.2253 data_time: 0.0252 memory: 2049 grad_norm: 3.3860 loss: 4.6055 loss_cls: 3.0024 loss_bbox: 1.6031 2024/10/27 00:47:59 - mmengine - INFO - Epoch(train) [49][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:18:45 time: 0.2468 data_time: 0.0269 memory: 2049 grad_norm: 3.2310 loss: 4.5232 loss_cls: 2.9578 loss_bbox: 1.5654 2024/10/27 00:48:11 - mmengine - INFO - Epoch(train) [49][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:18:31 time: 0.2426 data_time: 0.0294 memory: 2049 grad_norm: 3.4650 loss: 4.6282 loss_cls: 3.0518 loss_bbox: 1.5764 2024/10/27 00:48:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:48:23 - mmengine - INFO - Epoch(train) [49][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:18:17 time: 0.2345 data_time: 0.0254 memory: 2049 grad_norm: 3.1630 loss: 4.5916 loss_cls: 2.9577 loss_bbox: 1.6339 2024/10/27 00:48:36 - mmengine - INFO - Epoch(train) [49][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:18:04 time: 0.2537 data_time: 0.0246 memory: 2049 grad_norm: 3.4956 loss: 4.4459 loss_cls: 2.9161 loss_bbox: 1.5298 2024/10/27 00:48:48 - mmengine - INFO - Epoch(train) [49][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:17:50 time: 0.2339 data_time: 0.0298 memory: 2049 grad_norm: 3.3317 loss: 4.5593 loss_cls: 2.9376 loss_bbox: 1.6217 2024/10/27 00:49:00 - mmengine - INFO - Epoch(train) [49][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:17:37 time: 0.2472 data_time: 0.0263 memory: 2049 grad_norm: 3.1171 loss: 4.7008 loss_cls: 3.0113 loss_bbox: 1.6895 2024/10/27 00:49:13 - mmengine - INFO - Epoch(train) [49][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:17:24 time: 0.2512 data_time: 0.0249 memory: 2049 grad_norm: 3.4015 loss: 4.7323 loss_cls: 3.0707 loss_bbox: 1.6617 2024/10/27 00:49:25 - mmengine - INFO - Epoch(train) [49][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:17:12 time: 0.2525 data_time: 0.0236 memory: 2049 grad_norm: 3.3630 loss: 4.6222 loss_cls: 2.9869 loss_bbox: 1.6353 2024/10/27 00:49:38 - mmengine - INFO - Epoch(train) [49][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:17:00 time: 0.2578 data_time: 0.0264 memory: 2049 grad_norm: 3.0985 loss: 4.5388 loss_cls: 2.9544 loss_bbox: 1.5844 2024/10/27 00:49:50 - mmengine - INFO - Epoch(train) [49][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:16:47 time: 0.2447 data_time: 0.0221 memory: 2049 grad_norm: 3.2461 loss: 4.6238 loss_cls: 3.0426 loss_bbox: 1.5812 2024/10/27 00:50:03 - mmengine - INFO - Epoch(train) [49][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:16:34 time: 0.2472 data_time: 0.0224 memory: 2049 grad_norm: 3.0468 loss: 4.6341 loss_cls: 3.0348 loss_bbox: 1.5993 2024/10/27 00:50:18 - mmengine - INFO - Epoch(train) [49][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:16:28 time: 0.3065 data_time: 0.0812 memory: 2049 grad_norm: 3.2608 loss: 4.6421 loss_cls: 3.0125 loss_bbox: 1.6295 2024/10/27 00:50:31 - mmengine - INFO - Epoch(train) [49][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:16:15 time: 0.2505 data_time: 0.0223 memory: 2049 grad_norm: 3.2125 loss: 4.6011 loss_cls: 3.0056 loss_bbox: 1.5955 2024/10/27 00:50:43 - mmengine - INFO - Epoch(train) [49][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:16:03 time: 0.2561 data_time: 0.0276 memory: 2049 grad_norm: 3.4199 loss: 4.6377 loss_cls: 2.9912 loss_bbox: 1.6464 2024/10/27 00:50:55 - mmengine - INFO - Epoch(train) [49][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:15:49 time: 0.2342 data_time: 0.0262 memory: 2049 grad_norm: 3.1198 loss: 4.6913 loss_cls: 3.0478 loss_bbox: 1.6434 2024/10/27 00:51:07 - mmengine - INFO - Epoch(train) [49][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:15:36 time: 0.2471 data_time: 0.0219 memory: 2049 grad_norm: 3.1284 loss: 4.6983 loss_cls: 3.0462 loss_bbox: 1.6522 2024/10/27 00:51:20 - mmengine - INFO - Epoch(train) [49][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:15:24 time: 0.2576 data_time: 0.0222 memory: 2049 grad_norm: 3.3550 loss: 4.6800 loss_cls: 3.0561 loss_bbox: 1.6239 2024/10/27 00:51:32 - mmengine - INFO - Epoch(train) [49][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:15:10 time: 0.2442 data_time: 0.0257 memory: 2049 grad_norm: 3.1436 loss: 4.5667 loss_cls: 2.9472 loss_bbox: 1.6195 2024/10/27 00:51:45 - mmengine - INFO - Epoch(train) [49][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:14:58 time: 0.2541 data_time: 0.0221 memory: 2049 grad_norm: 3.2104 loss: 4.6089 loss_cls: 2.9938 loss_bbox: 1.6152 2024/10/27 00:51:57 - mmengine - INFO - Epoch(train) [49][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:14:44 time: 0.2377 data_time: 0.0234 memory: 2049 grad_norm: 3.2341 loss: 4.5284 loss_cls: 2.9510 loss_bbox: 1.5774 2024/10/27 00:52:09 - mmengine - INFO - Epoch(train) [49][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:14:31 time: 0.2433 data_time: 0.0239 memory: 2049 grad_norm: 3.1902 loss: 4.6434 loss_cls: 3.0012 loss_bbox: 1.6421 2024/10/27 00:52:22 - mmengine - INFO - Epoch(train) [49][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:14:18 time: 0.2517 data_time: 0.0229 memory: 2049 grad_norm: 3.1424 loss: 4.6698 loss_cls: 3.0693 loss_bbox: 1.6004 2024/10/27 00:52:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:52:34 - mmengine - INFO - Epoch(train) [49][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:14:05 time: 0.2452 data_time: 0.0239 memory: 2049 grad_norm: 3.2109 loss: 4.7717 loss_cls: 3.0952 loss_bbox: 1.6766 2024/10/27 00:52:47 - mmengine - INFO - Epoch(train) [49][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:13:54 time: 0.2631 data_time: 0.0307 memory: 2049 grad_norm: 3.2226 loss: 4.6906 loss_cls: 3.0485 loss_bbox: 1.6421 2024/10/27 00:52:59 - mmengine - INFO - Epoch(train) [49][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:13:40 time: 0.2392 data_time: 0.0245 memory: 2049 grad_norm: 3.2940 loss: 4.6016 loss_cls: 2.9796 loss_bbox: 1.6220 2024/10/27 00:53:12 - mmengine - INFO - Epoch(train) [49][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:13:27 time: 0.2517 data_time: 0.0250 memory: 2049 grad_norm: 3.1785 loss: 4.6791 loss_cls: 3.0243 loss_bbox: 1.6548 2024/10/27 00:53:25 - mmengine - INFO - Epoch(train) [49][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:13:15 time: 0.2530 data_time: 0.0226 memory: 2049 grad_norm: 3.2204 loss: 4.7118 loss_cls: 3.0629 loss_bbox: 1.6489 2024/10/27 00:53:37 - mmengine - INFO - Epoch(train) [49][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:13:02 time: 0.2484 data_time: 0.0221 memory: 2049 grad_norm: 3.2387 loss: 4.7198 loss_cls: 3.0466 loss_bbox: 1.6732 2024/10/27 00:53:49 - mmengine - INFO - Epoch(train) [49][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:12:49 time: 0.2483 data_time: 0.0229 memory: 2049 grad_norm: 3.5247 loss: 4.6426 loss_cls: 3.0108 loss_bbox: 1.6319 2024/10/27 00:54:02 - mmengine - INFO - Epoch(train) [49][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:12:37 time: 0.2548 data_time: 0.0239 memory: 2049 grad_norm: 3.2055 loss: 4.6055 loss_cls: 3.0096 loss_bbox: 1.5959 2024/10/27 00:54:17 - mmengine - INFO - Epoch(train) [49][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:12:31 time: 0.3037 data_time: 0.0869 memory: 2049 grad_norm: 3.2328 loss: 4.5939 loss_cls: 2.9784 loss_bbox: 1.6155 2024/10/27 00:54:30 - mmengine - INFO - Epoch(train) [49][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:12:19 time: 0.2604 data_time: 0.0215 memory: 2049 grad_norm: 3.0596 loss: 4.6419 loss_cls: 2.9885 loss_bbox: 1.6535 2024/10/27 00:54:43 - mmengine - INFO - Epoch(train) [49][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:12:07 time: 0.2524 data_time: 0.0229 memory: 2049 grad_norm: 3.3723 loss: 4.6895 loss_cls: 3.0294 loss_bbox: 1.6600 2024/10/27 00:54:55 - mmengine - INFO - Epoch(train) [49][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:11:53 time: 0.2425 data_time: 0.0231 memory: 2049 grad_norm: 3.3643 loss: 4.6209 loss_cls: 3.0061 loss_bbox: 1.6148 2024/10/27 00:55:08 - mmengine - INFO - Epoch(train) [49][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:11:41 time: 0.2555 data_time: 0.0283 memory: 2049 grad_norm: 3.3303 loss: 4.7375 loss_cls: 3.0665 loss_bbox: 1.6709 2024/10/27 00:55:20 - mmengine - INFO - Epoch(train) [49][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:11:28 time: 0.2411 data_time: 0.0237 memory: 2049 grad_norm: 3.4457 loss: 4.7699 loss_cls: 3.1065 loss_bbox: 1.6635 2024/10/27 00:55:33 - mmengine - INFO - Epoch(train) [49][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:11:16 time: 0.2595 data_time: 0.0228 memory: 2049 grad_norm: 3.1260 loss: 4.5269 loss_cls: 2.9279 loss_bbox: 1.5990 2024/10/27 00:55:46 - mmengine - INFO - Epoch(train) [49][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:11:04 time: 0.2557 data_time: 0.0216 memory: 2049 grad_norm: 3.2002 loss: 4.6314 loss_cls: 3.0233 loss_bbox: 1.6081 2024/10/27 00:55:58 - mmengine - INFO - Epoch(train) [49][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:10:51 time: 0.2472 data_time: 0.0224 memory: 2049 grad_norm: 3.2162 loss: 4.5535 loss_cls: 2.9667 loss_bbox: 1.5868 2024/10/27 00:56:11 - mmengine - INFO - Epoch(train) [49][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:10:39 time: 0.2546 data_time: 0.0274 memory: 2049 grad_norm: 3.0469 loss: 4.6335 loss_cls: 3.0037 loss_bbox: 1.6298 2024/10/27 00:56:23 - mmengine - INFO - Epoch(train) [49][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:10:26 time: 0.2465 data_time: 0.0223 memory: 2049 grad_norm: 3.4378 loss: 4.6733 loss_cls: 2.9865 loss_bbox: 1.6868 2024/10/27 00:56:36 - mmengine - INFO - Epoch(train) [49][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:10:13 time: 0.2497 data_time: 0.0281 memory: 2049 grad_norm: 3.0981 loss: 4.5512 loss_cls: 2.9795 loss_bbox: 1.5717 2024/10/27 00:56:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:56:49 - mmengine - INFO - Epoch(train) [49][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:10:02 time: 0.2611 data_time: 0.0220 memory: 2049 grad_norm: 3.2534 loss: 4.5569 loss_cls: 2.9743 loss_bbox: 1.5826 2024/10/27 00:57:01 - mmengine - INFO - Epoch(train) [49][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:09:49 time: 0.2519 data_time: 0.0217 memory: 2049 grad_norm: 3.2130 loss: 4.5345 loss_cls: 2.9386 loss_bbox: 1.5959 2024/10/27 00:57:14 - mmengine - INFO - Epoch(train) [49][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:09:37 time: 0.2543 data_time: 0.0225 memory: 2049 grad_norm: 3.2262 loss: 4.5934 loss_cls: 2.9659 loss_bbox: 1.6275 2024/10/27 00:57:26 - mmengine - INFO - Epoch(train) [49][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:09:24 time: 0.2490 data_time: 0.0219 memory: 2049 grad_norm: 3.4222 loss: 4.6461 loss_cls: 2.9884 loss_bbox: 1.6576 2024/10/27 00:57:40 - mmengine - INFO - Epoch(train) [49][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:09:13 time: 0.2630 data_time: 0.0219 memory: 2049 grad_norm: 3.2949 loss: 4.6187 loss_cls: 3.0106 loss_bbox: 1.6080 2024/10/27 00:57:52 - mmengine - INFO - Epoch(train) [49][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:09:01 time: 0.2546 data_time: 0.0230 memory: 2049 grad_norm: 3.1789 loss: 4.6552 loss_cls: 3.0359 loss_bbox: 1.6192 2024/10/27 00:58:05 - mmengine - INFO - Epoch(train) [49][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:08:48 time: 0.2524 data_time: 0.0217 memory: 2049 grad_norm: 3.3092 loss: 4.6097 loss_cls: 2.9938 loss_bbox: 1.6159 2024/10/27 00:58:18 - mmengine - INFO - Epoch(train) [49][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:08:37 time: 0.2618 data_time: 0.0229 memory: 2049 grad_norm: 3.0096 loss: 4.6763 loss_cls: 3.0076 loss_bbox: 1.6687 2024/10/27 00:58:31 - mmengine - INFO - Epoch(train) [49][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:08:25 time: 0.2529 data_time: 0.0228 memory: 2049 grad_norm: 3.3174 loss: 4.6288 loss_cls: 3.0022 loss_bbox: 1.6266 2024/10/27 00:58:44 - mmengine - INFO - Epoch(train) [49][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:08:13 time: 0.2630 data_time: 0.0210 memory: 2049 grad_norm: 3.4640 loss: 4.5363 loss_cls: 2.9693 loss_bbox: 1.5670 2024/10/27 00:58:57 - mmengine - INFO - Epoch(train) [49][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:08:02 time: 0.2634 data_time: 0.0215 memory: 2049 grad_norm: 3.2397 loss: 4.6643 loss_cls: 3.0280 loss_bbox: 1.6363 2024/10/27 00:59:10 - mmengine - INFO - Epoch(train) [49][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:07:51 time: 0.2599 data_time: 0.0237 memory: 2049 grad_norm: 3.3809 loss: 4.5692 loss_cls: 2.9949 loss_bbox: 1.5743 2024/10/27 00:59:23 - mmengine - INFO - Epoch(train) [49][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:07:38 time: 0.2507 data_time: 0.0234 memory: 2049 grad_norm: 3.3939 loss: 4.5833 loss_cls: 2.9721 loss_bbox: 1.6112 2024/10/27 00:59:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 00:59:24 - mmengine - INFO - Saving checkpoint at 49 epochs 2024/10/27 00:59:39 - mmengine - INFO - Epoch(train) [50][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:07:25 time: 0.2492 data_time: 0.0325 memory: 2049 grad_norm: 3.1843 loss: 4.7314 loss_cls: 3.0634 loss_bbox: 1.6680 2024/10/27 00:59:52 - mmengine - INFO - Epoch(train) [50][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:07:13 time: 0.2628 data_time: 0.0278 memory: 2049 grad_norm: 3.3044 loss: 4.6283 loss_cls: 3.0007 loss_bbox: 1.6276 2024/10/27 01:00:05 - mmengine - INFO - Epoch(train) [50][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:07:01 time: 0.2486 data_time: 0.0267 memory: 2049 grad_norm: 3.4059 loss: 4.6071 loss_cls: 3.0000 loss_bbox: 1.6071 2024/10/27 01:00:17 - mmengine - INFO - Epoch(train) [50][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:06:48 time: 0.2514 data_time: 0.0295 memory: 2049 grad_norm: 3.2666 loss: 4.5621 loss_cls: 2.9950 loss_bbox: 1.5671 2024/10/27 01:00:29 - mmengine - INFO - Epoch(train) [50][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:06:34 time: 0.2412 data_time: 0.0244 memory: 2049 grad_norm: 3.2640 loss: 4.6622 loss_cls: 3.0352 loss_bbox: 1.6270 2024/10/27 01:00:41 - mmengine - INFO - Epoch(train) [50][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:06:20 time: 0.2337 data_time: 0.0210 memory: 2049 grad_norm: 3.4561 loss: 4.5889 loss_cls: 2.9931 loss_bbox: 1.5957 2024/10/27 01:00:54 - mmengine - INFO - Epoch(train) [50][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:06:08 time: 0.2576 data_time: 0.0219 memory: 2049 grad_norm: 3.0761 loss: 4.6454 loss_cls: 3.0123 loss_bbox: 1.6330 2024/10/27 01:00:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:01:06 - mmengine - INFO - Epoch(train) [50][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:05:54 time: 0.2415 data_time: 0.0232 memory: 2049 grad_norm: 3.1128 loss: 4.6597 loss_cls: 3.0151 loss_bbox: 1.6445 2024/10/27 01:01:18 - mmengine - INFO - Epoch(train) [50][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:05:41 time: 0.2471 data_time: 0.0307 memory: 2049 grad_norm: 3.4002 loss: 4.5379 loss_cls: 2.9784 loss_bbox: 1.5595 2024/10/27 01:01:31 - mmengine - INFO - Epoch(train) [50][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:05:29 time: 0.2520 data_time: 0.0215 memory: 2049 grad_norm: 3.0423 loss: 4.7082 loss_cls: 3.0474 loss_bbox: 1.6607 2024/10/27 01:01:43 - mmengine - INFO - Epoch(train) [50][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:05:15 time: 0.2359 data_time: 0.0266 memory: 2049 grad_norm: 3.3787 loss: 4.5514 loss_cls: 2.9928 loss_bbox: 1.5586 2024/10/27 01:01:56 - mmengine - INFO - Epoch(train) [50][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:05:02 time: 0.2521 data_time: 0.0206 memory: 2049 grad_norm: 3.2525 loss: 4.6561 loss_cls: 3.0050 loss_bbox: 1.6511 2024/10/27 01:02:08 - mmengine - INFO - Epoch(train) [50][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:04:49 time: 0.2470 data_time: 0.0244 memory: 2049 grad_norm: 3.1060 loss: 4.6514 loss_cls: 3.0206 loss_bbox: 1.6308 2024/10/27 01:02:21 - mmengine - INFO - Epoch(train) [50][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:04:37 time: 0.2584 data_time: 0.0292 memory: 2049 grad_norm: 3.2243 loss: 4.6386 loss_cls: 3.0432 loss_bbox: 1.5954 2024/10/27 01:02:33 - mmengine - INFO - Epoch(train) [50][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:04:24 time: 0.2446 data_time: 0.0232 memory: 2049 grad_norm: 3.1317 loss: 4.6542 loss_cls: 3.0474 loss_bbox: 1.6068 2024/10/27 01:02:45 - mmengine - INFO - Epoch(train) [50][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:04:10 time: 0.2339 data_time: 0.0208 memory: 2049 grad_norm: 3.3557 loss: 4.4958 loss_cls: 2.9438 loss_bbox: 1.5520 2024/10/27 01:02:58 - mmengine - INFO - Epoch(train) [50][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:03:58 time: 0.2577 data_time: 0.0306 memory: 2049 grad_norm: 3.3618 loss: 4.5511 loss_cls: 2.9720 loss_bbox: 1.5792 2024/10/27 01:03:09 - mmengine - INFO - Epoch(train) [50][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:03:44 time: 0.2363 data_time: 0.0220 memory: 2049 grad_norm: 3.2863 loss: 4.5880 loss_cls: 2.9875 loss_bbox: 1.6005 2024/10/27 01:03:22 - mmengine - INFO - Epoch(train) [50][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:03:30 time: 0.2464 data_time: 0.0286 memory: 2049 grad_norm: 3.4494 loss: 4.6360 loss_cls: 3.0271 loss_bbox: 1.6088 2024/10/27 01:03:34 - mmengine - INFO - Epoch(train) [50][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:03:17 time: 0.2419 data_time: 0.0232 memory: 2049 grad_norm: 3.3288 loss: 4.5698 loss_cls: 2.9531 loss_bbox: 1.6167 2024/10/27 01:03:46 - mmengine - INFO - Epoch(train) [50][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:03:02 time: 0.2346 data_time: 0.0245 memory: 2049 grad_norm: 3.2821 loss: 4.6002 loss_cls: 3.0371 loss_bbox: 1.5631 2024/10/27 01:03:58 - mmengine - INFO - Epoch(train) [50][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:02:49 time: 0.2449 data_time: 0.0237 memory: 2049 grad_norm: 3.2791 loss: 4.6641 loss_cls: 3.0495 loss_bbox: 1.6146 2024/10/27 01:04:09 - mmengine - INFO - Epoch(train) [50][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:02:34 time: 0.2257 data_time: 0.0239 memory: 2049 grad_norm: 3.3070 loss: 4.7314 loss_cls: 3.0497 loss_bbox: 1.6816 2024/10/27 01:04:21 - mmengine - INFO - Epoch(train) [50][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:02:19 time: 0.2323 data_time: 0.0293 memory: 2049 grad_norm: 3.2308 loss: 4.5798 loss_cls: 2.9832 loss_bbox: 1.5966 2024/10/27 01:04:33 - mmengine - INFO - Epoch(train) [50][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:02:07 time: 0.2525 data_time: 0.0276 memory: 2049 grad_norm: 2.9938 loss: 4.6685 loss_cls: 3.0083 loss_bbox: 1.6603 2024/10/27 01:04:45 - mmengine - INFO - Epoch(train) [50][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:01:52 time: 0.2330 data_time: 0.0243 memory: 2049 grad_norm: 3.4360 loss: 4.5841 loss_cls: 2.9528 loss_bbox: 1.6314 2024/10/27 01:04:58 - mmengine - INFO - Epoch(train) [50][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:01:40 time: 0.2521 data_time: 0.0252 memory: 2049 grad_norm: 3.3748 loss: 4.6300 loss_cls: 3.0166 loss_bbox: 1.6134 2024/10/27 01:04:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:05:10 - mmengine - INFO - Epoch(train) [50][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:01:26 time: 0.2436 data_time: 0.0321 memory: 2049 grad_norm: 3.3234 loss: 4.6588 loss_cls: 3.0139 loss_bbox: 1.6449 2024/10/27 01:05:22 - mmengine - INFO - Epoch(train) [50][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:01:12 time: 0.2393 data_time: 0.0285 memory: 2049 grad_norm: 2.9369 loss: 4.6798 loss_cls: 3.0011 loss_bbox: 1.6788 2024/10/27 01:05:34 - mmengine - INFO - Epoch(train) [50][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:00:59 time: 0.2447 data_time: 0.0239 memory: 2049 grad_norm: 3.4799 loss: 4.5120 loss_cls: 2.9384 loss_bbox: 1.5736 2024/10/27 01:05:46 - mmengine - INFO - Epoch(train) [50][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:00:46 time: 0.2434 data_time: 0.0301 memory: 2049 grad_norm: 3.1583 loss: 4.6253 loss_cls: 2.9997 loss_bbox: 1.6256 2024/10/27 01:05:58 - mmengine - INFO - Epoch(train) [50][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:00:32 time: 0.2446 data_time: 0.0296 memory: 2049 grad_norm: 3.4208 loss: 4.6322 loss_cls: 3.0258 loss_bbox: 1.6064 2024/10/27 01:06:10 - mmengine - INFO - Epoch(train) [50][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:00:17 time: 0.2257 data_time: 0.0239 memory: 2049 grad_norm: 3.3645 loss: 4.6768 loss_cls: 3.0582 loss_bbox: 1.6186 2024/10/27 01:06:22 - mmengine - INFO - Epoch(train) [50][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 15:00:03 time: 0.2362 data_time: 0.0269 memory: 2049 grad_norm: 3.3386 loss: 4.5533 loss_cls: 2.9930 loss_bbox: 1.5603 2024/10/27 01:06:34 - mmengine - INFO - Epoch(train) [50][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:59:49 time: 0.2413 data_time: 0.0228 memory: 2049 grad_norm: 3.2107 loss: 4.6967 loss_cls: 3.0459 loss_bbox: 1.6508 2024/10/27 01:06:46 - mmengine - INFO - Epoch(train) [50][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:59:35 time: 0.2371 data_time: 0.0222 memory: 2049 grad_norm: 3.1578 loss: 4.6972 loss_cls: 3.0274 loss_bbox: 1.6698 2024/10/27 01:06:58 - mmengine - INFO - Epoch(train) [50][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:59:22 time: 0.2442 data_time: 0.0228 memory: 2049 grad_norm: 3.2374 loss: 4.7125 loss_cls: 3.0721 loss_bbox: 1.6405 2024/10/27 01:07:09 - mmengine - INFO - Epoch(train) [50][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:59:06 time: 0.2243 data_time: 0.0233 memory: 2049 grad_norm: 3.3722 loss: 4.6816 loss_cls: 3.0227 loss_bbox: 1.6589 2024/10/27 01:07:21 - mmengine - INFO - Epoch(train) [50][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:58:52 time: 0.2343 data_time: 0.0279 memory: 2049 grad_norm: 3.6702 loss: 4.6164 loss_cls: 3.0098 loss_bbox: 1.6066 2024/10/27 01:07:33 - mmengine - INFO - Epoch(train) [50][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:58:38 time: 0.2413 data_time: 0.0223 memory: 2049 grad_norm: 3.4592 loss: 4.5006 loss_cls: 2.9406 loss_bbox: 1.5600 2024/10/27 01:07:44 - mmengine - INFO - Epoch(train) [50][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:58:24 time: 0.2324 data_time: 0.0223 memory: 2049 grad_norm: 3.3227 loss: 4.7197 loss_cls: 3.0398 loss_bbox: 1.6799 2024/10/27 01:07:57 - mmengine - INFO - Epoch(train) [50][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:58:10 time: 0.2441 data_time: 0.0272 memory: 2049 grad_norm: 2.9825 loss: 4.6389 loss_cls: 3.0156 loss_bbox: 1.6234 2024/10/27 01:08:08 - mmengine - INFO - Epoch(train) [50][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:57:55 time: 0.2269 data_time: 0.0229 memory: 2049 grad_norm: 3.3190 loss: 4.6366 loss_cls: 2.9993 loss_bbox: 1.6372 2024/10/27 01:08:20 - mmengine - INFO - Epoch(train) [50][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:57:41 time: 0.2342 data_time: 0.0246 memory: 2049 grad_norm: 3.3276 loss: 4.6203 loss_cls: 2.9915 loss_bbox: 1.6288 2024/10/27 01:08:32 - mmengine - INFO - Epoch(train) [50][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:57:27 time: 0.2374 data_time: 0.0239 memory: 2049 grad_norm: 3.2473 loss: 4.7150 loss_cls: 3.0537 loss_bbox: 1.6613 2024/10/27 01:08:43 - mmengine - INFO - Epoch(train) [50][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:57:12 time: 0.2342 data_time: 0.0259 memory: 2049 grad_norm: 3.4554 loss: 4.5498 loss_cls: 2.9960 loss_bbox: 1.5539 2024/10/27 01:08:56 - mmengine - INFO - Epoch(train) [50][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:57:00 time: 0.2522 data_time: 0.0273 memory: 2049 grad_norm: 3.4341 loss: 4.7423 loss_cls: 3.0341 loss_bbox: 1.7082 2024/10/27 01:08:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:09:07 - mmengine - INFO - Epoch(train) [50][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:56:45 time: 0.2274 data_time: 0.0227 memory: 2049 grad_norm: 3.0629 loss: 4.5987 loss_cls: 2.9956 loss_bbox: 1.6031 2024/10/27 01:09:20 - mmengine - INFO - Epoch(train) [50][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:56:32 time: 0.2514 data_time: 0.0238 memory: 2049 grad_norm: 3.0860 loss: 4.8122 loss_cls: 3.1191 loss_bbox: 1.6931 2024/10/27 01:09:31 - mmengine - INFO - Epoch(train) [50][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:56:18 time: 0.2321 data_time: 0.0242 memory: 2049 grad_norm: 3.3758 loss: 4.7251 loss_cls: 3.0629 loss_bbox: 1.6622 2024/10/27 01:09:43 - mmengine - INFO - Epoch(train) [50][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:56:03 time: 0.2326 data_time: 0.0243 memory: 2049 grad_norm: 3.2672 loss: 4.6546 loss_cls: 3.0439 loss_bbox: 1.6107 2024/10/27 01:09:56 - mmengine - INFO - Epoch(train) [50][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:55:51 time: 0.2542 data_time: 0.0286 memory: 2049 grad_norm: 3.1125 loss: 4.5773 loss_cls: 3.0178 loss_bbox: 1.5595 2024/10/27 01:10:07 - mmengine - INFO - Epoch(train) [50][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:55:36 time: 0.2295 data_time: 0.0230 memory: 2049 grad_norm: 3.0853 loss: 4.6957 loss_cls: 3.0459 loss_bbox: 1.6499 2024/10/27 01:10:20 - mmengine - INFO - Epoch(train) [50][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:55:23 time: 0.2504 data_time: 0.0225 memory: 2049 grad_norm: 3.1798 loss: 4.6421 loss_cls: 3.0428 loss_bbox: 1.5993 2024/10/27 01:10:32 - mmengine - INFO - Epoch(train) [50][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:55:10 time: 0.2389 data_time: 0.0256 memory: 2049 grad_norm: 3.3792 loss: 4.5919 loss_cls: 2.9577 loss_bbox: 1.6342 2024/10/27 01:10:44 - mmengine - INFO - Epoch(train) [50][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:54:55 time: 0.2362 data_time: 0.0244 memory: 2049 grad_norm: 3.4951 loss: 4.6174 loss_cls: 3.0210 loss_bbox: 1.5965 2024/10/27 01:10:56 - mmengine - INFO - Epoch(train) [50][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:54:42 time: 0.2469 data_time: 0.0235 memory: 2049 grad_norm: 3.3248 loss: 4.6258 loss_cls: 2.9878 loss_bbox: 1.6380 2024/10/27 01:11:08 - mmengine - INFO - Epoch(train) [50][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:54:28 time: 0.2383 data_time: 0.0255 memory: 2049 grad_norm: 3.1542 loss: 4.4758 loss_cls: 2.9277 loss_bbox: 1.5481 2024/10/27 01:11:20 - mmengine - INFO - Epoch(train) [50][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:54:15 time: 0.2454 data_time: 0.0221 memory: 2049 grad_norm: 3.2447 loss: 4.6259 loss_cls: 3.0145 loss_bbox: 1.6114 2024/10/27 01:11:32 - mmengine - INFO - Epoch(train) [50][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:54:02 time: 0.2466 data_time: 0.0226 memory: 2049 grad_norm: 3.1511 loss: 4.6723 loss_cls: 3.0287 loss_bbox: 1.6437 2024/10/27 01:11:45 - mmengine - INFO - Epoch(train) [50][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:53:49 time: 0.2456 data_time: 0.0270 memory: 2049 grad_norm: 3.3459 loss: 4.6861 loss_cls: 3.0346 loss_bbox: 1.6515 2024/10/27 01:11:46 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:11:46 - mmengine - INFO - Saving checkpoint at 50 epochs 2024/10/27 01:11:50 - mmengine - INFO - Epoch(val) [50][50/79] eta: 0:00:01 time: 0.0402 data_time: 0.0047 memory: 2049 2024/10/27 01:12:03 - mmengine - INFO - Evaluating bbox... 2024/10/27 01:13:00 - mmengine - INFO - bbox_mAP_copypaste: 0.167 0.294 0.167 0.013 0.148 0.329 2024/10/27 01:13:01 - mmengine - INFO - Epoch(val) [50][79/79] coco/bbox_mAP: 0.1670 coco/bbox_mAP_50: 0.2940 coco/bbox_mAP_75: 0.1670 coco/bbox_mAP_s: 0.0130 coco/bbox_mAP_m: 0.1480 coco/bbox_mAP_l: 0.3290 data_time: 0.0043 time: 0.0393 2024/10/27 01:13:17 - mmengine - INFO - Epoch(train) [51][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:53:34 time: 0.2339 data_time: 0.0357 memory: 2049 grad_norm: 3.3426 loss: 4.5626 loss_cls: 2.9764 loss_bbox: 1.5862 2024/10/27 01:13:28 - mmengine - INFO - Epoch(train) [51][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:53:18 time: 0.2266 data_time: 0.0258 memory: 2049 grad_norm: 3.1794 loss: 4.7292 loss_cls: 3.0534 loss_bbox: 1.6758 2024/10/27 01:13:40 - mmengine - INFO - Epoch(train) [51][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:53:05 time: 0.2412 data_time: 0.0352 memory: 2049 grad_norm: 3.2462 loss: 4.7040 loss_cls: 3.0796 loss_bbox: 1.6244 2024/10/27 01:13:51 - mmengine - INFO - Epoch(train) [51][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:52:49 time: 0.2248 data_time: 0.0259 memory: 2049 grad_norm: 3.5204 loss: 4.5669 loss_cls: 3.0038 loss_bbox: 1.5630 2024/10/27 01:14:03 - mmengine - INFO - Epoch(train) [51][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:52:34 time: 0.2278 data_time: 0.0303 memory: 2049 grad_norm: 3.4218 loss: 4.6125 loss_cls: 2.9589 loss_bbox: 1.6536 2024/10/27 01:14:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:14:17 - mmengine - INFO - Epoch(train) [51][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:52:27 time: 0.2935 data_time: 0.0788 memory: 2049 grad_norm: 3.3211 loss: 4.6767 loss_cls: 3.0225 loss_bbox: 1.6541 2024/10/27 01:14:29 - mmengine - INFO - Epoch(train) [51][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:52:12 time: 0.2363 data_time: 0.0347 memory: 2049 grad_norm: 3.4400 loss: 4.6103 loss_cls: 2.9951 loss_bbox: 1.6152 2024/10/27 01:14:41 - mmengine - INFO - Epoch(train) [51][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:51:58 time: 0.2361 data_time: 0.0273 memory: 2049 grad_norm: 3.2644 loss: 4.6420 loss_cls: 3.0328 loss_bbox: 1.6093 2024/10/27 01:14:52 - mmengine - INFO - Epoch(train) [51][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:51:44 time: 0.2304 data_time: 0.0257 memory: 2049 grad_norm: 3.0516 loss: 4.5921 loss_cls: 2.9834 loss_bbox: 1.6087 2024/10/27 01:15:04 - mmengine - INFO - Epoch(train) [51][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:51:29 time: 0.2313 data_time: 0.0248 memory: 2049 grad_norm: 3.3320 loss: 4.6346 loss_cls: 2.9858 loss_bbox: 1.6487 2024/10/27 01:15:18 - mmengine - INFO - Epoch(train) [51][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:51:19 time: 0.2749 data_time: 0.0457 memory: 2049 grad_norm: 3.3087 loss: 4.5573 loss_cls: 2.9490 loss_bbox: 1.6083 2024/10/27 01:15:29 - mmengine - INFO - Epoch(train) [51][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:51:04 time: 0.2274 data_time: 0.0293 memory: 2049 grad_norm: 3.1258 loss: 4.5409 loss_cls: 2.9921 loss_bbox: 1.5488 2024/10/27 01:15:43 - mmengine - INFO - Epoch(train) [51][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:50:54 time: 0.2769 data_time: 0.0274 memory: 2049 grad_norm: 3.3732 loss: 4.5955 loss_cls: 2.9630 loss_bbox: 1.6325 2024/10/27 01:15:56 - mmengine - INFO - Epoch(train) [51][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:50:42 time: 0.2532 data_time: 0.0293 memory: 2049 grad_norm: 3.1097 loss: 4.6022 loss_cls: 2.9994 loss_bbox: 1.6028 2024/10/27 01:16:08 - mmengine - INFO - Epoch(train) [51][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:50:29 time: 0.2498 data_time: 0.0230 memory: 2049 grad_norm: 3.1627 loss: 4.5743 loss_cls: 2.9907 loss_bbox: 1.5836 2024/10/27 01:16:21 - mmengine - INFO - Epoch(train) [51][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:50:17 time: 0.2537 data_time: 0.0224 memory: 2049 grad_norm: 3.1533 loss: 4.6711 loss_cls: 3.0407 loss_bbox: 1.6303 2024/10/27 01:16:34 - mmengine - INFO - Epoch(train) [51][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:50:06 time: 0.2623 data_time: 0.0274 memory: 2049 grad_norm: 3.2334 loss: 4.5462 loss_cls: 2.9388 loss_bbox: 1.6074 2024/10/27 01:16:47 - mmengine - INFO - Epoch(train) [51][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:49:54 time: 0.2596 data_time: 0.0247 memory: 2049 grad_norm: 3.2567 loss: 4.5967 loss_cls: 3.0019 loss_bbox: 1.5948 2024/10/27 01:17:00 - mmengine - INFO - Epoch(train) [51][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:49:43 time: 0.2636 data_time: 0.0304 memory: 2049 grad_norm: 3.2252 loss: 4.5657 loss_cls: 2.9990 loss_bbox: 1.5668 2024/10/27 01:17:13 - mmengine - INFO - Epoch(train) [51][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:49:31 time: 0.2602 data_time: 0.0238 memory: 2049 grad_norm: 3.0098 loss: 4.6342 loss_cls: 3.0064 loss_bbox: 1.6278 2024/10/27 01:17:26 - mmengine - INFO - Epoch(train) [51][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:49:18 time: 0.2457 data_time: 0.0211 memory: 2049 grad_norm: 3.1830 loss: 4.5723 loss_cls: 2.9808 loss_bbox: 1.5915 2024/10/27 01:17:38 - mmengine - INFO - Epoch(train) [51][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:49:05 time: 0.2465 data_time: 0.0262 memory: 2049 grad_norm: 3.3328 loss: 4.6172 loss_cls: 3.0149 loss_bbox: 1.6022 2024/10/27 01:17:51 - mmengine - INFO - Epoch(train) [51][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:48:54 time: 0.2662 data_time: 0.0233 memory: 2049 grad_norm: 3.3075 loss: 4.6473 loss_cls: 2.9867 loss_bbox: 1.6606 2024/10/27 01:18:05 - mmengine - INFO - Epoch(train) [51][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:48:44 time: 0.2683 data_time: 0.0266 memory: 2049 grad_norm: 3.2474 loss: 4.6084 loss_cls: 3.0175 loss_bbox: 1.5909 2024/10/27 01:18:20 - mmengine - INFO - Epoch(train) [51][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:48:37 time: 0.3027 data_time: 0.0574 memory: 2049 grad_norm: 3.0640 loss: 4.5526 loss_cls: 2.9815 loss_bbox: 1.5711 2024/10/27 01:18:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:18:33 - mmengine - INFO - Epoch(train) [51][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:48:26 time: 0.2650 data_time: 0.0252 memory: 2049 grad_norm: 3.1392 loss: 4.5951 loss_cls: 3.0382 loss_bbox: 1.5569 2024/10/27 01:18:46 - mmengine - INFO - Epoch(train) [51][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:48:14 time: 0.2555 data_time: 0.0199 memory: 2049 grad_norm: 3.3639 loss: 4.5661 loss_cls: 2.9786 loss_bbox: 1.5875 2024/10/27 01:19:00 - mmengine - INFO - Epoch(train) [51][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:48:04 time: 0.2791 data_time: 0.0402 memory: 2049 grad_norm: 3.5302 loss: 4.5962 loss_cls: 3.0041 loss_bbox: 1.5921 2024/10/27 01:19:12 - mmengine - INFO - Epoch(train) [51][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:47:52 time: 0.2535 data_time: 0.0256 memory: 2049 grad_norm: 3.5687 loss: 4.5976 loss_cls: 3.0316 loss_bbox: 1.5660 2024/10/27 01:19:25 - mmengine - INFO - Epoch(train) [51][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:47:40 time: 0.2578 data_time: 0.0201 memory: 2049 grad_norm: 3.0663 loss: 4.5972 loss_cls: 3.0047 loss_bbox: 1.5925 2024/10/27 01:19:38 - mmengine - INFO - Epoch(train) [51][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:47:28 time: 0.2530 data_time: 0.0233 memory: 2049 grad_norm: 3.1702 loss: 4.5726 loss_cls: 2.9767 loss_bbox: 1.5959 2024/10/27 01:19:51 - mmengine - INFO - Epoch(train) [51][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:47:16 time: 0.2567 data_time: 0.0265 memory: 2049 grad_norm: 3.0676 loss: 4.6242 loss_cls: 3.0112 loss_bbox: 1.6130 2024/10/27 01:20:04 - mmengine - INFO - Epoch(train) [51][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:47:04 time: 0.2542 data_time: 0.0225 memory: 2049 grad_norm: 3.2214 loss: 4.6871 loss_cls: 3.0731 loss_bbox: 1.6140 2024/10/27 01:20:18 - mmengine - INFO - Epoch(train) [51][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:46:56 time: 0.2930 data_time: 0.0678 memory: 2049 grad_norm: 3.5980 loss: 4.5680 loss_cls: 2.9598 loss_bbox: 1.6082 2024/10/27 01:20:31 - mmengine - INFO - Epoch(train) [51][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:46:43 time: 0.2497 data_time: 0.0228 memory: 2049 grad_norm: 3.1137 loss: 4.6183 loss_cls: 3.0201 loss_bbox: 1.5983 2024/10/27 01:20:44 - mmengine - INFO - Epoch(train) [51][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:46:32 time: 0.2647 data_time: 0.0340 memory: 2049 grad_norm: 3.3356 loss: 4.7395 loss_cls: 3.0238 loss_bbox: 1.7158 2024/10/27 01:20:57 - mmengine - INFO - Epoch(train) [51][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:46:20 time: 0.2532 data_time: 0.0257 memory: 2049 grad_norm: 3.3629 loss: 4.5074 loss_cls: 2.9551 loss_bbox: 1.5523 2024/10/27 01:21:10 - mmengine - INFO - Epoch(train) [51][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:46:08 time: 0.2589 data_time: 0.0231 memory: 2049 grad_norm: 3.3515 loss: 4.6136 loss_cls: 3.0247 loss_bbox: 1.5889 2024/10/27 01:21:22 - mmengine - INFO - Epoch(train) [51][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:45:55 time: 0.2462 data_time: 0.0234 memory: 2049 grad_norm: 3.1291 loss: 4.7101 loss_cls: 3.0286 loss_bbox: 1.6816 2024/10/27 01:21:34 - mmengine - INFO - Epoch(train) [51][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:45:42 time: 0.2469 data_time: 0.0227 memory: 2049 grad_norm: 3.2438 loss: 4.6288 loss_cls: 3.0392 loss_bbox: 1.5896 2024/10/27 01:21:48 - mmengine - INFO - Epoch(train) [51][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:45:31 time: 0.2687 data_time: 0.0272 memory: 2049 grad_norm: 3.0970 loss: 4.5951 loss_cls: 2.9986 loss_bbox: 1.5965 2024/10/27 01:22:00 - mmengine - INFO - Epoch(train) [51][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:45:18 time: 0.2432 data_time: 0.0249 memory: 2049 grad_norm: 3.4653 loss: 4.7250 loss_cls: 3.0667 loss_bbox: 1.6583 2024/10/27 01:22:13 - mmengine - INFO - Epoch(train) [51][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:45:06 time: 0.2600 data_time: 0.0271 memory: 2049 grad_norm: 3.3113 loss: 4.6220 loss_cls: 3.0230 loss_bbox: 1.5990 2024/10/27 01:22:25 - mmengine - INFO - Epoch(train) [51][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:44:54 time: 0.2500 data_time: 0.0254 memory: 2049 grad_norm: 3.1913 loss: 4.6909 loss_cls: 3.0561 loss_bbox: 1.6349 2024/10/27 01:22:38 - mmengine - INFO - Epoch(train) [51][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:44:41 time: 0.2513 data_time: 0.0230 memory: 2049 grad_norm: 3.4278 loss: 4.6083 loss_cls: 3.0014 loss_bbox: 1.6069 2024/10/27 01:22:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:22:51 - mmengine - INFO - Epoch(train) [51][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:44:29 time: 0.2553 data_time: 0.0284 memory: 2049 grad_norm: 3.0441 loss: 4.5985 loss_cls: 3.0145 loss_bbox: 1.5840 2024/10/27 01:23:03 - mmengine - INFO - Epoch(train) [51][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:44:16 time: 0.2464 data_time: 0.0307 memory: 2049 grad_norm: 3.1608 loss: 4.6940 loss_cls: 3.0076 loss_bbox: 1.6864 2024/10/27 01:23:18 - mmengine - INFO - Epoch(train) [51][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:44:09 time: 0.3080 data_time: 0.0773 memory: 2049 grad_norm: 3.1975 loss: 4.6847 loss_cls: 3.0769 loss_bbox: 1.6078 2024/10/27 01:23:31 - mmengine - INFO - Epoch(train) [51][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:43:58 time: 0.2572 data_time: 0.0305 memory: 2049 grad_norm: 3.2195 loss: 4.6883 loss_cls: 3.0328 loss_bbox: 1.6555 2024/10/27 01:23:44 - mmengine - INFO - Epoch(train) [51][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:43:45 time: 0.2528 data_time: 0.0261 memory: 2049 grad_norm: 3.3683 loss: 4.5844 loss_cls: 3.0111 loss_bbox: 1.5732 2024/10/27 01:23:57 - mmengine - INFO - Epoch(train) [51][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:43:33 time: 0.2536 data_time: 0.0276 memory: 2049 grad_norm: 3.2595 loss: 4.7830 loss_cls: 3.0784 loss_bbox: 1.7046 2024/10/27 01:24:09 - mmengine - INFO - Epoch(train) [51][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:43:19 time: 0.2383 data_time: 0.0231 memory: 2049 grad_norm: 3.3078 loss: 4.6363 loss_cls: 3.0251 loss_bbox: 1.6112 2024/10/27 01:24:21 - mmengine - INFO - Epoch(train) [51][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:43:07 time: 0.2550 data_time: 0.0232 memory: 2049 grad_norm: 3.4266 loss: 4.5713 loss_cls: 2.9685 loss_bbox: 1.6028 2024/10/27 01:24:34 - mmengine - INFO - Epoch(train) [51][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:42:55 time: 0.2569 data_time: 0.0299 memory: 2049 grad_norm: 3.4316 loss: 4.6696 loss_cls: 3.0457 loss_bbox: 1.6239 2024/10/27 01:24:47 - mmengine - INFO - Epoch(train) [51][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:42:43 time: 0.2582 data_time: 0.0275 memory: 2049 grad_norm: 3.3148 loss: 4.6698 loss_cls: 3.0157 loss_bbox: 1.6541 2024/10/27 01:25:00 - mmengine - INFO - Epoch(train) [51][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:42:32 time: 0.2628 data_time: 0.0277 memory: 2049 grad_norm: 3.3370 loss: 4.6430 loss_cls: 3.0234 loss_bbox: 1.6196 2024/10/27 01:25:12 - mmengine - INFO - Epoch(train) [51][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:42:19 time: 0.2450 data_time: 0.0301 memory: 2049 grad_norm: 3.3305 loss: 4.6009 loss_cls: 2.9869 loss_bbox: 1.6140 2024/10/27 01:25:26 - mmengine - INFO - Epoch(train) [51][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:42:08 time: 0.2665 data_time: 0.0298 memory: 2049 grad_norm: 3.2688 loss: 4.5647 loss_cls: 2.9774 loss_bbox: 1.5873 2024/10/27 01:25:38 - mmengine - INFO - Epoch(train) [51][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:41:55 time: 0.2523 data_time: 0.0295 memory: 2049 grad_norm: 3.3439 loss: 4.5885 loss_cls: 2.9998 loss_bbox: 1.5887 2024/10/27 01:25:51 - mmengine - INFO - Epoch(train) [51][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:41:44 time: 0.2586 data_time: 0.0280 memory: 2049 grad_norm: 3.3871 loss: 4.5937 loss_cls: 2.9651 loss_bbox: 1.6287 2024/10/27 01:26:04 - mmengine - INFO - Epoch(train) [51][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:41:32 time: 0.2593 data_time: 0.0320 memory: 2049 grad_norm: 3.3606 loss: 4.6805 loss_cls: 3.0020 loss_bbox: 1.6785 2024/10/27 01:26:07 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:26:07 - mmengine - INFO - Saving checkpoint at 51 epochs 2024/10/27 01:26:21 - mmengine - INFO - Epoch(train) [52][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:41:20 time: 0.2443 data_time: 0.0374 memory: 2049 grad_norm: 3.3874 loss: 4.5279 loss_cls: 2.9827 loss_bbox: 1.5453 2024/10/27 01:26:34 - mmengine - INFO - Epoch(train) [52][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:41:08 time: 0.2538 data_time: 0.0297 memory: 2049 grad_norm: 3.1425 loss: 4.5579 loss_cls: 2.9845 loss_bbox: 1.5733 2024/10/27 01:26:46 - mmengine - INFO - Epoch(train) [52][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:40:53 time: 0.2305 data_time: 0.0270 memory: 2049 grad_norm: 3.0569 loss: 4.5787 loss_cls: 3.0194 loss_bbox: 1.5592 2024/10/27 01:26:58 - mmengine - INFO - Epoch(train) [52][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:40:40 time: 0.2450 data_time: 0.0269 memory: 2049 grad_norm: 3.2094 loss: 4.5735 loss_cls: 2.9699 loss_bbox: 1.6036 2024/10/27 01:27:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:27:10 - mmengine - INFO - Epoch(train) [52][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:40:27 time: 0.2485 data_time: 0.0342 memory: 2049 grad_norm: 3.1721 loss: 4.6317 loss_cls: 3.0054 loss_bbox: 1.6263 2024/10/27 01:27:22 - mmengine - INFO - Epoch(train) [52][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:40:13 time: 0.2290 data_time: 0.0272 memory: 2049 grad_norm: 3.3890 loss: 4.5897 loss_cls: 3.0068 loss_bbox: 1.5829 2024/10/27 01:27:34 - mmengine - INFO - Epoch(train) [52][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:40:00 time: 0.2540 data_time: 0.0282 memory: 2049 grad_norm: 3.4659 loss: 4.6004 loss_cls: 2.9893 loss_bbox: 1.6111 2024/10/27 01:27:46 - mmengine - INFO - Epoch(train) [52][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:39:47 time: 0.2400 data_time: 0.0291 memory: 2049 grad_norm: 3.1582 loss: 4.5377 loss_cls: 2.9603 loss_bbox: 1.5774 2024/10/27 01:27:59 - mmengine - INFO - Epoch(train) [52][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:39:34 time: 0.2500 data_time: 0.0298 memory: 2049 grad_norm: 3.2941 loss: 4.6416 loss_cls: 3.0041 loss_bbox: 1.6375 2024/10/27 01:28:11 - mmengine - INFO - Epoch(train) [52][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:39:21 time: 0.2436 data_time: 0.0268 memory: 2049 grad_norm: 3.3062 loss: 4.7199 loss_cls: 3.0579 loss_bbox: 1.6620 2024/10/27 01:28:23 - mmengine - INFO - Epoch(train) [52][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:39:07 time: 0.2420 data_time: 0.0335 memory: 2049 grad_norm: 3.2314 loss: 4.5208 loss_cls: 2.9486 loss_bbox: 1.5722 2024/10/27 01:28:36 - mmengine - INFO - Epoch(train) [52][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:38:55 time: 0.2496 data_time: 0.0274 memory: 2049 grad_norm: 3.3654 loss: 4.5856 loss_cls: 2.9837 loss_bbox: 1.6018 2024/10/27 01:28:48 - mmengine - INFO - Epoch(train) [52][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:38:41 time: 0.2444 data_time: 0.0277 memory: 2049 grad_norm: 3.4071 loss: 4.5581 loss_cls: 2.9186 loss_bbox: 1.6395 2024/10/27 01:29:00 - mmengine - INFO - Epoch(train) [52][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:38:28 time: 0.2483 data_time: 0.0284 memory: 2049 grad_norm: 3.3392 loss: 4.6512 loss_cls: 2.9957 loss_bbox: 1.6555 2024/10/27 01:29:13 - mmengine - INFO - Epoch(train) [52][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:38:16 time: 0.2526 data_time: 0.0269 memory: 2049 grad_norm: 3.2690 loss: 4.6231 loss_cls: 2.9826 loss_bbox: 1.6405 2024/10/27 01:29:25 - mmengine - INFO - Epoch(train) [52][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:38:01 time: 0.2303 data_time: 0.0271 memory: 2049 grad_norm: 3.2513 loss: 4.6094 loss_cls: 3.0050 loss_bbox: 1.6044 2024/10/27 01:29:37 - mmengine - INFO - Epoch(train) [52][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:37:49 time: 0.2494 data_time: 0.0264 memory: 2049 grad_norm: 3.1639 loss: 4.7187 loss_cls: 3.0410 loss_bbox: 1.6777 2024/10/27 01:29:49 - mmengine - INFO - Epoch(train) [52][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:37:36 time: 0.2469 data_time: 0.0306 memory: 2049 grad_norm: 3.5016 loss: 4.6169 loss_cls: 2.9681 loss_bbox: 1.6488 2024/10/27 01:30:03 - mmengine - INFO - Epoch(train) [52][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:37:25 time: 0.2641 data_time: 0.0346 memory: 2049 grad_norm: 3.1477 loss: 4.6622 loss_cls: 3.0300 loss_bbox: 1.6322 2024/10/27 01:30:18 - mmengine - INFO - Epoch(train) [52][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:37:18 time: 0.3068 data_time: 0.0839 memory: 2049 grad_norm: 3.4125 loss: 4.7669 loss_cls: 3.0778 loss_bbox: 1.6891 2024/10/27 01:30:30 - mmengine - INFO - Epoch(train) [52][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:37:04 time: 0.2397 data_time: 0.0264 memory: 2049 grad_norm: 3.2220 loss: 4.7267 loss_cls: 3.0292 loss_bbox: 1.6974 2024/10/27 01:30:43 - mmengine - INFO - Epoch(train) [52][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:36:52 time: 0.2544 data_time: 0.0349 memory: 2049 grad_norm: 3.1335 loss: 4.6878 loss_cls: 3.0410 loss_bbox: 1.6468 2024/10/27 01:30:55 - mmengine - INFO - Epoch(train) [52][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:36:38 time: 0.2407 data_time: 0.0256 memory: 2049 grad_norm: 3.3151 loss: 4.6688 loss_cls: 3.0230 loss_bbox: 1.6457 2024/10/27 01:31:07 - mmengine - INFO - Epoch(train) [52][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:36:26 time: 0.2540 data_time: 0.0284 memory: 2049 grad_norm: 3.2016 loss: 4.5249 loss_cls: 2.9482 loss_bbox: 1.5767 2024/10/27 01:31:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:31:20 - mmengine - INFO - Epoch(train) [52][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:36:14 time: 0.2546 data_time: 0.0260 memory: 2049 grad_norm: 3.1756 loss: 4.5969 loss_cls: 3.0118 loss_bbox: 1.5851 2024/10/27 01:31:32 - mmengine - INFO - Epoch(train) [52][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:36:00 time: 0.2406 data_time: 0.0278 memory: 2049 grad_norm: 3.3623 loss: 4.6821 loss_cls: 3.0816 loss_bbox: 1.6004 2024/10/27 01:31:44 - mmengine - INFO - Epoch(train) [52][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:35:47 time: 0.2450 data_time: 0.0266 memory: 2049 grad_norm: 3.4563 loss: 4.5385 loss_cls: 2.9714 loss_bbox: 1.5671 2024/10/27 01:31:57 - mmengine - INFO - Epoch(train) [52][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:35:34 time: 0.2448 data_time: 0.0317 memory: 2049 grad_norm: 3.3839 loss: 4.5852 loss_cls: 3.0033 loss_bbox: 1.5820 2024/10/27 01:32:09 - mmengine - INFO - Epoch(train) [52][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:35:21 time: 0.2478 data_time: 0.0215 memory: 2049 grad_norm: 3.3028 loss: 4.5432 loss_cls: 2.9457 loss_bbox: 1.5975 2024/10/27 01:32:21 - mmengine - INFO - Epoch(train) [52][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:35:08 time: 0.2424 data_time: 0.0273 memory: 2049 grad_norm: 3.2735 loss: 4.6034 loss_cls: 2.9436 loss_bbox: 1.6598 2024/10/27 01:32:33 - mmengine - INFO - Epoch(train) [52][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:34:54 time: 0.2419 data_time: 0.0210 memory: 2049 grad_norm: 3.1964 loss: 4.6778 loss_cls: 3.0399 loss_bbox: 1.6379 2024/10/27 01:32:46 - mmengine - INFO - Epoch(train) [52][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:34:42 time: 0.2523 data_time: 0.0231 memory: 2049 grad_norm: 3.5847 loss: 4.6533 loss_cls: 3.0598 loss_bbox: 1.5935 2024/10/27 01:32:58 - mmengine - INFO - Epoch(train) [52][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:34:28 time: 0.2423 data_time: 0.0209 memory: 2049 grad_norm: 3.2913 loss: 4.5541 loss_cls: 2.9924 loss_bbox: 1.5617 2024/10/27 01:33:11 - mmengine - INFO - Epoch(train) [52][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:34:16 time: 0.2539 data_time: 0.0216 memory: 2049 grad_norm: 3.3987 loss: 4.6686 loss_cls: 3.0251 loss_bbox: 1.6435 2024/10/27 01:33:23 - mmengine - INFO - Epoch(train) [52][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:34:03 time: 0.2463 data_time: 0.0251 memory: 2049 grad_norm: 3.0838 loss: 4.6718 loss_cls: 3.0782 loss_bbox: 1.5936 2024/10/27 01:33:35 - mmengine - INFO - Epoch(train) [52][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:33:48 time: 0.2316 data_time: 0.0216 memory: 2049 grad_norm: 3.3876 loss: 4.6107 loss_cls: 3.0266 loss_bbox: 1.5841 2024/10/27 01:33:47 - mmengine - INFO - Epoch(train) [52][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:33:36 time: 0.2503 data_time: 0.0239 memory: 2049 grad_norm: 3.1046 loss: 4.5657 loss_cls: 2.9400 loss_bbox: 1.6257 2024/10/27 01:33:59 - mmengine - INFO - Epoch(train) [52][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:33:23 time: 0.2440 data_time: 0.0230 memory: 2049 grad_norm: 3.2392 loss: 4.6234 loss_cls: 3.0000 loss_bbox: 1.6234 2024/10/27 01:34:12 - mmengine - INFO - Epoch(train) [52][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:33:10 time: 0.2549 data_time: 0.0215 memory: 2049 grad_norm: 3.2200 loss: 4.6463 loss_cls: 3.0410 loss_bbox: 1.6054 2024/10/27 01:34:24 - mmengine - INFO - Epoch(train) [52][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:32:56 time: 0.2372 data_time: 0.0212 memory: 2049 grad_norm: 3.3057 loss: 4.5088 loss_cls: 2.9468 loss_bbox: 1.5620 2024/10/27 01:34:36 - mmengine - INFO - Epoch(train) [52][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:32:43 time: 0.2447 data_time: 0.0210 memory: 2049 grad_norm: 3.6157 loss: 4.6223 loss_cls: 2.9944 loss_bbox: 1.6279 2024/10/27 01:34:50 - mmengine - INFO - Epoch(train) [52][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:32:32 time: 0.2677 data_time: 0.0242 memory: 2049 grad_norm: 3.3785 loss: 4.6492 loss_cls: 3.0432 loss_bbox: 1.6060 2024/10/27 01:35:02 - mmengine - INFO - Epoch(train) [52][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:32:19 time: 0.2437 data_time: 0.0216 memory: 2049 grad_norm: 3.1973 loss: 4.5923 loss_cls: 2.9711 loss_bbox: 1.6212 2024/10/27 01:35:18 - mmengine - INFO - Epoch(train) [52][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:32:14 time: 0.3202 data_time: 0.0852 memory: 2049 grad_norm: 3.4222 loss: 4.6507 loss_cls: 3.0685 loss_bbox: 1.5822 2024/10/27 01:35:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:35:30 - mmengine - INFO - Epoch(train) [52][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:32:00 time: 0.2381 data_time: 0.0262 memory: 2049 grad_norm: 3.0942 loss: 4.5991 loss_cls: 3.0006 loss_bbox: 1.5985 2024/10/27 01:35:43 - mmengine - INFO - Epoch(train) [52][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:31:48 time: 0.2594 data_time: 0.0299 memory: 2049 grad_norm: 3.4830 loss: 4.6115 loss_cls: 2.9910 loss_bbox: 1.6205 2024/10/27 01:35:56 - mmengine - INFO - Epoch(train) [52][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:31:36 time: 0.2584 data_time: 0.0328 memory: 2049 grad_norm: 3.4412 loss: 4.6269 loss_cls: 3.0242 loss_bbox: 1.6027 2024/10/27 01:36:07 - mmengine - INFO - Epoch(train) [52][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:31:22 time: 0.2328 data_time: 0.0223 memory: 2049 grad_norm: 3.1988 loss: 4.5905 loss_cls: 3.0001 loss_bbox: 1.5904 2024/10/27 01:36:20 - mmengine - INFO - Epoch(train) [52][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:31:10 time: 0.2597 data_time: 0.0237 memory: 2049 grad_norm: 3.4055 loss: 4.6250 loss_cls: 3.0049 loss_bbox: 1.6201 2024/10/27 01:36:33 - mmengine - INFO - Epoch(train) [52][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:30:58 time: 0.2533 data_time: 0.0309 memory: 2049 grad_norm: 3.0313 loss: 4.6043 loss_cls: 2.9918 loss_bbox: 1.6125 2024/10/27 01:36:46 - mmengine - INFO - Epoch(train) [52][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:30:45 time: 0.2517 data_time: 0.0314 memory: 2049 grad_norm: 3.4082 loss: 4.6551 loss_cls: 3.0074 loss_bbox: 1.6477 2024/10/27 01:36:59 - mmengine - INFO - Epoch(train) [52][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:30:35 time: 0.2706 data_time: 0.0341 memory: 2049 grad_norm: 3.2311 loss: 4.7120 loss_cls: 3.0509 loss_bbox: 1.6611 2024/10/27 01:37:11 - mmengine - INFO - Epoch(train) [52][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:30:21 time: 0.2383 data_time: 0.0268 memory: 2049 grad_norm: 3.2450 loss: 4.6191 loss_cls: 2.9820 loss_bbox: 1.6371 2024/10/27 01:37:24 - mmengine - INFO - Epoch(train) [52][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:30:09 time: 0.2579 data_time: 0.0265 memory: 2049 grad_norm: 3.1685 loss: 4.5979 loss_cls: 3.0085 loss_bbox: 1.5895 2024/10/27 01:37:37 - mmengine - INFO - Epoch(train) [52][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:29:57 time: 0.2507 data_time: 0.0267 memory: 2049 grad_norm: 3.3419 loss: 4.5822 loss_cls: 3.0195 loss_bbox: 1.5627 2024/10/27 01:37:50 - mmengine - INFO - Epoch(train) [52][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:29:45 time: 0.2626 data_time: 0.0285 memory: 2049 grad_norm: 3.3101 loss: 4.6750 loss_cls: 3.0360 loss_bbox: 1.6389 2024/10/27 01:38:03 - mmengine - INFO - Epoch(train) [52][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:29:34 time: 0.2611 data_time: 0.0258 memory: 2049 grad_norm: 3.1505 loss: 4.6647 loss_cls: 3.0736 loss_bbox: 1.5911 2024/10/27 01:38:17 - mmengine - INFO - Epoch(train) [52][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:29:24 time: 0.2835 data_time: 0.0744 memory: 2049 grad_norm: 3.4069 loss: 4.6355 loss_cls: 3.0013 loss_bbox: 1.6343 2024/10/27 01:38:30 - mmengine - INFO - Epoch(train) [52][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:29:13 time: 0.2638 data_time: 0.0303 memory: 2049 grad_norm: 3.2349 loss: 4.7086 loss_cls: 3.0734 loss_bbox: 1.6352 2024/10/27 01:38:43 - mmengine - INFO - Epoch(train) [52][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:29:01 time: 0.2529 data_time: 0.0266 memory: 2049 grad_norm: 3.4904 loss: 4.5411 loss_cls: 2.9611 loss_bbox: 1.5800 2024/10/27 01:38:55 - mmengine - INFO - Epoch(train) [52][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:28:48 time: 0.2461 data_time: 0.0256 memory: 2049 grad_norm: 3.2096 loss: 4.6646 loss_cls: 3.0282 loss_bbox: 1.6365 2024/10/27 01:38:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:38:57 - mmengine - INFO - Saving checkpoint at 52 epochs 2024/10/27 01:39:13 - mmengine - INFO - Epoch(train) [53][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:28:36 time: 0.2603 data_time: 0.0404 memory: 2049 grad_norm: 3.0360 loss: 4.6801 loss_cls: 3.0138 loss_bbox: 1.6662 2024/10/27 01:39:25 - mmengine - INFO - Epoch(train) [53][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:28:21 time: 0.2287 data_time: 0.0290 memory: 2049 grad_norm: 3.4147 loss: 4.6062 loss_cls: 3.0213 loss_bbox: 1.5849 2024/10/27 01:39:37 - mmengine - INFO - Epoch(train) [53][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:28:09 time: 0.2566 data_time: 0.0287 memory: 2049 grad_norm: 3.1472 loss: 4.6423 loss_cls: 3.0191 loss_bbox: 1.6232 2024/10/27 01:39:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:39:49 - mmengine - INFO - Epoch(train) [53][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:27:56 time: 0.2412 data_time: 0.0307 memory: 2049 grad_norm: 3.0597 loss: 4.5001 loss_cls: 2.9551 loss_bbox: 1.5451 2024/10/27 01:40:02 - mmengine - INFO - Epoch(train) [53][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:27:43 time: 0.2540 data_time: 0.0271 memory: 2049 grad_norm: 3.3622 loss: 4.6387 loss_cls: 3.0408 loss_bbox: 1.5979 2024/10/27 01:40:18 - mmengine - INFO - Epoch(train) [53][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:27:37 time: 0.3095 data_time: 0.1003 memory: 2049 grad_norm: 3.3760 loss: 4.6042 loss_cls: 3.0252 loss_bbox: 1.5790 2024/10/27 01:40:30 - mmengine - INFO - Epoch(train) [53][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:27:23 time: 0.2374 data_time: 0.0270 memory: 2049 grad_norm: 3.0592 loss: 4.6573 loss_cls: 3.0489 loss_bbox: 1.6083 2024/10/27 01:40:43 - mmengine - INFO - Epoch(train) [53][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:27:12 time: 0.2644 data_time: 0.0348 memory: 2049 grad_norm: 3.4180 loss: 4.7212 loss_cls: 3.0371 loss_bbox: 1.6841 2024/10/27 01:40:55 - mmengine - INFO - Epoch(train) [53][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:26:59 time: 0.2480 data_time: 0.0267 memory: 2049 grad_norm: 3.3317 loss: 4.6143 loss_cls: 3.0117 loss_bbox: 1.6027 2024/10/27 01:41:08 - mmengine - INFO - Epoch(train) [53][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:26:47 time: 0.2584 data_time: 0.0270 memory: 2049 grad_norm: 3.2260 loss: 4.6174 loss_cls: 3.0193 loss_bbox: 1.5980 2024/10/27 01:41:20 - mmengine - INFO - Epoch(train) [53][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:26:34 time: 0.2458 data_time: 0.0269 memory: 2049 grad_norm: 3.2860 loss: 4.5400 loss_cls: 2.9531 loss_bbox: 1.5869 2024/10/27 01:41:33 - mmengine - INFO - Epoch(train) [53][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:26:21 time: 0.2466 data_time: 0.0285 memory: 2049 grad_norm: 3.1296 loss: 4.5978 loss_cls: 3.0111 loss_bbox: 1.5867 2024/10/27 01:41:46 - mmengine - INFO - Epoch(train) [53][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:26:09 time: 0.2622 data_time: 0.0266 memory: 2049 grad_norm: 3.2787 loss: 4.6001 loss_cls: 3.0126 loss_bbox: 1.5875 2024/10/27 01:41:58 - mmengine - INFO - Epoch(train) [53][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:25:56 time: 0.2445 data_time: 0.0263 memory: 2049 grad_norm: 3.1373 loss: 4.5796 loss_cls: 2.9701 loss_bbox: 1.6095 2024/10/27 01:42:11 - mmengine - INFO - Epoch(train) [53][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:25:43 time: 0.2496 data_time: 0.0265 memory: 2049 grad_norm: 3.1435 loss: 4.5926 loss_cls: 3.0187 loss_bbox: 1.5739 2024/10/27 01:42:23 - mmengine - INFO - Epoch(train) [53][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:25:31 time: 0.2471 data_time: 0.0339 memory: 2049 grad_norm: 3.1577 loss: 4.6358 loss_cls: 3.0338 loss_bbox: 1.6020 2024/10/27 01:42:36 - mmengine - INFO - Epoch(train) [53][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:25:18 time: 0.2535 data_time: 0.0267 memory: 2049 grad_norm: 3.1677 loss: 4.5959 loss_cls: 3.0100 loss_bbox: 1.5860 2024/10/27 01:42:48 - mmengine - INFO - Epoch(train) [53][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:25:06 time: 0.2555 data_time: 0.0295 memory: 2049 grad_norm: 3.2259 loss: 4.4992 loss_cls: 2.9376 loss_bbox: 1.5617 2024/10/27 01:43:01 - mmengine - INFO - Epoch(train) [53][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:24:54 time: 0.2512 data_time: 0.0265 memory: 2049 grad_norm: 3.4401 loss: 4.6838 loss_cls: 3.0343 loss_bbox: 1.6495 2024/10/27 01:43:13 - mmengine - INFO - Epoch(train) [53][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:24:41 time: 0.2466 data_time: 0.0261 memory: 2049 grad_norm: 3.1855 loss: 4.5939 loss_cls: 3.0042 loss_bbox: 1.5897 2024/10/27 01:43:26 - mmengine - INFO - Epoch(train) [53][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:24:28 time: 0.2539 data_time: 0.0261 memory: 2049 grad_norm: 3.1112 loss: 4.5302 loss_cls: 2.9621 loss_bbox: 1.5681 2024/10/27 01:43:39 - mmengine - INFO - Epoch(train) [53][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:24:16 time: 0.2581 data_time: 0.0262 memory: 2049 grad_norm: 3.3827 loss: 4.6096 loss_cls: 3.0225 loss_bbox: 1.5872 2024/10/27 01:43:51 - mmengine - INFO - Epoch(train) [53][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:24:04 time: 0.2483 data_time: 0.0258 memory: 2049 grad_norm: 3.3285 loss: 4.6396 loss_cls: 2.9969 loss_bbox: 1.6427 2024/10/27 01:44:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:44:04 - mmengine - INFO - Epoch(train) [53][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:23:51 time: 0.2505 data_time: 0.0281 memory: 2049 grad_norm: 3.2192 loss: 4.5827 loss_cls: 2.9824 loss_bbox: 1.6003 2024/10/27 01:44:17 - mmengine - INFO - Epoch(train) [53][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:23:40 time: 0.2687 data_time: 0.0450 memory: 2049 grad_norm: 3.2815 loss: 4.6255 loss_cls: 3.0200 loss_bbox: 1.6054 2024/10/27 01:44:30 - mmengine - INFO - Epoch(train) [53][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:23:28 time: 0.2535 data_time: 0.0274 memory: 2049 grad_norm: 3.4028 loss: 4.6750 loss_cls: 3.0015 loss_bbox: 1.6734 2024/10/27 01:44:43 - mmengine - INFO - Epoch(train) [53][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:23:16 time: 0.2617 data_time: 0.0263 memory: 2049 grad_norm: 3.2049 loss: 4.6207 loss_cls: 2.9850 loss_bbox: 1.6357 2024/10/27 01:44:56 - mmengine - INFO - Epoch(train) [53][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:23:05 time: 0.2587 data_time: 0.0364 memory: 2049 grad_norm: 3.0966 loss: 4.7424 loss_cls: 3.0833 loss_bbox: 1.6592 2024/10/27 01:45:09 - mmengine - INFO - Epoch(train) [53][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:22:52 time: 0.2490 data_time: 0.0267 memory: 2049 grad_norm: 3.3045 loss: 4.6158 loss_cls: 3.0321 loss_bbox: 1.5837 2024/10/27 01:45:22 - mmengine - INFO - Epoch(train) [53][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:22:41 time: 0.2685 data_time: 0.0423 memory: 2049 grad_norm: 3.2191 loss: 4.6856 loss_cls: 3.0273 loss_bbox: 1.6583 2024/10/27 01:45:35 - mmengine - INFO - Epoch(train) [53][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:22:29 time: 0.2568 data_time: 0.0268 memory: 2049 grad_norm: 3.2562 loss: 4.6325 loss_cls: 3.0162 loss_bbox: 1.6164 2024/10/27 01:45:48 - mmengine - INFO - Epoch(train) [53][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:22:17 time: 0.2551 data_time: 0.0259 memory: 2049 grad_norm: 3.4508 loss: 4.5546 loss_cls: 2.9672 loss_bbox: 1.5874 2024/10/27 01:46:01 - mmengine - INFO - Epoch(train) [53][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:22:05 time: 0.2580 data_time: 0.0337 memory: 2049 grad_norm: 3.0868 loss: 4.6149 loss_cls: 2.9806 loss_bbox: 1.6343 2024/10/27 01:46:14 - mmengine - INFO - Epoch(train) [53][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:21:53 time: 0.2613 data_time: 0.0369 memory: 2049 grad_norm: 3.0728 loss: 4.5475 loss_cls: 2.9817 loss_bbox: 1.5658 2024/10/27 01:46:26 - mmengine - INFO - Epoch(train) [53][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:21:42 time: 0.2577 data_time: 0.0272 memory: 2049 grad_norm: 3.3250 loss: 4.5666 loss_cls: 2.9906 loss_bbox: 1.5760 2024/10/27 01:46:40 - mmengine - INFO - Epoch(train) [53][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:21:30 time: 0.2656 data_time: 0.0288 memory: 2049 grad_norm: 3.2893 loss: 4.6686 loss_cls: 3.0235 loss_bbox: 1.6451 2024/10/27 01:46:53 - mmengine - INFO - Epoch(train) [53][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:21:19 time: 0.2657 data_time: 0.0263 memory: 2049 grad_norm: 3.0848 loss: 4.7362 loss_cls: 3.0873 loss_bbox: 1.6489 2024/10/27 01:47:06 - mmengine - INFO - Epoch(train) [53][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:21:08 time: 0.2608 data_time: 0.0275 memory: 2049 grad_norm: 3.0489 loss: 4.6369 loss_cls: 2.9979 loss_bbox: 1.6390 2024/10/27 01:47:19 - mmengine - INFO - Epoch(train) [53][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:20:55 time: 0.2519 data_time: 0.0269 memory: 2049 grad_norm: 3.2105 loss: 4.7159 loss_cls: 3.0675 loss_bbox: 1.6484 2024/10/27 01:47:32 - mmengine - INFO - Epoch(train) [53][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:20:44 time: 0.2643 data_time: 0.0348 memory: 2049 grad_norm: 3.2494 loss: 4.6051 loss_cls: 3.0261 loss_bbox: 1.5789 2024/10/27 01:47:45 - mmengine - INFO - Epoch(train) [53][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:20:33 time: 0.2705 data_time: 0.0366 memory: 2049 grad_norm: 3.2079 loss: 4.6278 loss_cls: 2.9983 loss_bbox: 1.6295 2024/10/27 01:47:59 - mmengine - INFO - Epoch(train) [53][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:20:22 time: 0.2666 data_time: 0.0295 memory: 2049 grad_norm: 3.2459 loss: 4.6657 loss_cls: 3.0214 loss_bbox: 1.6443 2024/10/27 01:48:12 - mmengine - INFO - Epoch(train) [53][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:20:11 time: 0.2603 data_time: 0.0283 memory: 2049 grad_norm: 3.2058 loss: 4.6593 loss_cls: 3.0334 loss_bbox: 1.6258 2024/10/27 01:48:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:48:24 - mmengine - INFO - Epoch(train) [53][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:19:58 time: 0.2521 data_time: 0.0275 memory: 2049 grad_norm: 3.0859 loss: 4.5703 loss_cls: 2.9754 loss_bbox: 1.5950 2024/10/27 01:48:38 - mmengine - INFO - Epoch(train) [53][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:19:47 time: 0.2673 data_time: 0.0278 memory: 2049 grad_norm: 3.6120 loss: 4.6770 loss_cls: 3.0743 loss_bbox: 1.6027 2024/10/27 01:48:51 - mmengine - INFO - Epoch(train) [53][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:19:35 time: 0.2574 data_time: 0.0270 memory: 2049 grad_norm: 3.1871 loss: 4.6430 loss_cls: 3.0309 loss_bbox: 1.6121 2024/10/27 01:49:04 - mmengine - INFO - Epoch(train) [53][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:19:24 time: 0.2633 data_time: 0.0360 memory: 2049 grad_norm: 3.0801 loss: 4.5091 loss_cls: 2.9217 loss_bbox: 1.5873 2024/10/27 01:49:19 - mmengine - INFO - Epoch(train) [53][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:19:15 time: 0.2957 data_time: 0.0623 memory: 2049 grad_norm: 3.5486 loss: 4.5432 loss_cls: 2.9627 loss_bbox: 1.5804 2024/10/27 01:49:32 - mmengine - INFO - Epoch(train) [53][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:19:03 time: 0.2569 data_time: 0.0274 memory: 2049 grad_norm: 3.4596 loss: 4.7279 loss_cls: 3.0364 loss_bbox: 1.6915 2024/10/27 01:49:45 - mmengine - INFO - Epoch(train) [53][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:18:52 time: 0.2634 data_time: 0.0261 memory: 2049 grad_norm: 3.1549 loss: 4.7236 loss_cls: 3.0512 loss_bbox: 1.6724 2024/10/27 01:49:58 - mmengine - INFO - Epoch(train) [53][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:18:41 time: 0.2610 data_time: 0.0259 memory: 2049 grad_norm: 3.2163 loss: 4.6980 loss_cls: 3.0422 loss_bbox: 1.6558 2024/10/27 01:50:11 - mmengine - INFO - Epoch(train) [53][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:18:29 time: 0.2609 data_time: 0.0271 memory: 2049 grad_norm: 3.6313 loss: 4.6300 loss_cls: 3.0227 loss_bbox: 1.6073 2024/10/27 01:50:24 - mmengine - INFO - Epoch(train) [53][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:18:17 time: 0.2577 data_time: 0.0279 memory: 2049 grad_norm: 2.9090 loss: 4.6014 loss_cls: 3.0047 loss_bbox: 1.5967 2024/10/27 01:50:37 - mmengine - INFO - Epoch(train) [53][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:18:05 time: 0.2588 data_time: 0.0354 memory: 2049 grad_norm: 3.1707 loss: 4.7710 loss_cls: 3.0721 loss_bbox: 1.6990 2024/10/27 01:50:51 - mmengine - INFO - Epoch(train) [53][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:17:55 time: 0.2762 data_time: 0.0417 memory: 2049 grad_norm: 3.1767 loss: 4.6306 loss_cls: 2.9730 loss_bbox: 1.6576 2024/10/27 01:51:03 - mmengine - INFO - Epoch(train) [53][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:17:42 time: 0.2455 data_time: 0.0262 memory: 2049 grad_norm: 3.3066 loss: 4.5919 loss_cls: 3.0272 loss_bbox: 1.5646 2024/10/27 01:51:18 - mmengine - INFO - Epoch(train) [53][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:17:35 time: 0.3079 data_time: 0.0881 memory: 2049 grad_norm: 3.2417 loss: 4.6851 loss_cls: 3.0290 loss_bbox: 1.6561 2024/10/27 01:51:31 - mmengine - INFO - Epoch(train) [53][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:17:23 time: 0.2641 data_time: 0.0284 memory: 2049 grad_norm: 3.2690 loss: 4.6404 loss_cls: 3.0176 loss_bbox: 1.6228 2024/10/27 01:51:44 - mmengine - INFO - Epoch(train) [53][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:17:10 time: 0.2452 data_time: 0.0284 memory: 2049 grad_norm: 3.5805 loss: 4.5692 loss_cls: 2.9688 loss_bbox: 1.6005 2024/10/27 01:51:57 - mmengine - INFO - Epoch(train) [53][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:16:59 time: 0.2668 data_time: 0.0266 memory: 2049 grad_norm: 3.1410 loss: 4.5678 loss_cls: 2.9966 loss_bbox: 1.5711 2024/10/27 01:52:09 - mmengine - INFO - Epoch(train) [53][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:16:46 time: 0.2436 data_time: 0.0266 memory: 2049 grad_norm: 3.0350 loss: 4.5939 loss_cls: 2.9980 loss_bbox: 1.5959 2024/10/27 01:52:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:52:10 - mmengine - INFO - Saving checkpoint at 53 epochs 2024/10/27 01:52:26 - mmengine - INFO - Epoch(train) [54][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:16:33 time: 0.2644 data_time: 0.0395 memory: 2049 grad_norm: 3.3155 loss: 4.6151 loss_cls: 3.0307 loss_bbox: 1.5844 2024/10/27 01:52:39 - mmengine - INFO - Epoch(train) [54][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:16:20 time: 0.2490 data_time: 0.0256 memory: 2049 grad_norm: 3.2088 loss: 4.6314 loss_cls: 3.0234 loss_bbox: 1.6080 2024/10/27 01:52:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:52:51 - mmengine - INFO - Epoch(train) [54][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:16:07 time: 0.2445 data_time: 0.0265 memory: 2049 grad_norm: 3.2816 loss: 4.5444 loss_cls: 2.9894 loss_bbox: 1.5550 2024/10/27 01:53:04 - mmengine - INFO - Epoch(train) [54][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:15:56 time: 0.2676 data_time: 0.0351 memory: 2049 grad_norm: 3.2526 loss: 4.4974 loss_cls: 2.9287 loss_bbox: 1.5687 2024/10/27 01:53:17 - mmengine - INFO - Epoch(train) [54][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:15:44 time: 0.2583 data_time: 0.0500 memory: 2049 grad_norm: 3.3405 loss: 4.6207 loss_cls: 3.0103 loss_bbox: 1.6104 2024/10/27 01:53:30 - mmengine - INFO - Epoch(train) [54][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:15:33 time: 0.2586 data_time: 0.0277 memory: 2049 grad_norm: 3.2481 loss: 4.5418 loss_cls: 2.9607 loss_bbox: 1.5811 2024/10/27 01:53:42 - mmengine - INFO - Epoch(train) [54][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:15:20 time: 0.2488 data_time: 0.0277 memory: 2049 grad_norm: 3.3417 loss: 4.6327 loss_cls: 2.9905 loss_bbox: 1.6422 2024/10/27 01:53:55 - mmengine - INFO - Epoch(train) [54][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:15:06 time: 0.2438 data_time: 0.0264 memory: 2049 grad_norm: 3.6325 loss: 4.6672 loss_cls: 3.0409 loss_bbox: 1.6263 2024/10/27 01:54:08 - mmengine - INFO - Epoch(train) [54][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:14:55 time: 0.2628 data_time: 0.0263 memory: 2049 grad_norm: 3.2235 loss: 4.5979 loss_cls: 3.0270 loss_bbox: 1.5709 2024/10/27 01:54:19 - mmengine - INFO - Epoch(train) [54][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:14:41 time: 0.2319 data_time: 0.0266 memory: 2049 grad_norm: 3.3412 loss: 4.7625 loss_cls: 3.0893 loss_bbox: 1.6732 2024/10/27 01:54:33 - mmengine - INFO - Epoch(train) [54][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:14:29 time: 0.2611 data_time: 0.0316 memory: 2049 grad_norm: 3.2539 loss: 4.6523 loss_cls: 3.0236 loss_bbox: 1.6287 2024/10/27 01:54:45 - mmengine - INFO - Epoch(train) [54][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:14:16 time: 0.2459 data_time: 0.0273 memory: 2049 grad_norm: 3.1413 loss: 4.5540 loss_cls: 2.9586 loss_bbox: 1.5954 2024/10/27 01:54:57 - mmengine - INFO - Epoch(train) [54][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:14:03 time: 0.2518 data_time: 0.0258 memory: 2049 grad_norm: 3.0451 loss: 4.5291 loss_cls: 2.9910 loss_bbox: 1.5381 2024/10/27 01:55:10 - mmengine - INFO - Epoch(train) [54][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:13:51 time: 0.2510 data_time: 0.0312 memory: 2049 grad_norm: 3.3117 loss: 4.5912 loss_cls: 3.0333 loss_bbox: 1.5579 2024/10/27 01:55:22 - mmengine - INFO - Epoch(train) [54][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:13:36 time: 0.2322 data_time: 0.0275 memory: 2049 grad_norm: 3.2260 loss: 4.6753 loss_cls: 3.0541 loss_bbox: 1.6212 2024/10/27 01:55:34 - mmengine - INFO - Epoch(train) [54][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:13:24 time: 0.2512 data_time: 0.0262 memory: 2049 grad_norm: 3.3037 loss: 4.5517 loss_cls: 2.9539 loss_bbox: 1.5978 2024/10/27 01:55:47 - mmengine - INFO - Epoch(train) [54][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:13:11 time: 0.2469 data_time: 0.0264 memory: 2049 grad_norm: 3.4037 loss: 4.6423 loss_cls: 2.9933 loss_bbox: 1.6489 2024/10/27 01:55:59 - mmengine - INFO - Epoch(train) [54][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:12:58 time: 0.2514 data_time: 0.0280 memory: 2049 grad_norm: 3.1383 loss: 4.7520 loss_cls: 3.1034 loss_bbox: 1.6486 2024/10/27 01:56:12 - mmengine - INFO - Epoch(train) [54][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:12:46 time: 0.2529 data_time: 0.0263 memory: 2049 grad_norm: 3.1349 loss: 4.6906 loss_cls: 3.0482 loss_bbox: 1.6424 2024/10/27 01:56:25 - mmengine - INFO - Epoch(train) [54][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:12:34 time: 0.2592 data_time: 0.0267 memory: 2049 grad_norm: 3.4260 loss: 4.6178 loss_cls: 3.0091 loss_bbox: 1.6087 2024/10/27 01:56:37 - mmengine - INFO - Epoch(train) [54][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:12:22 time: 0.2504 data_time: 0.0276 memory: 2049 grad_norm: 3.0891 loss: 4.6200 loss_cls: 3.0222 loss_bbox: 1.5979 2024/10/27 01:56:51 - mmengine - INFO - Epoch(train) [54][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:12:10 time: 0.2663 data_time: 0.0343 memory: 2049 grad_norm: 2.9466 loss: 4.5928 loss_cls: 3.0094 loss_bbox: 1.5834 2024/10/27 01:57:01 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 01:57:04 - mmengine - INFO - Epoch(train) [54][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:11:59 time: 0.2636 data_time: 0.0324 memory: 2049 grad_norm: 3.1703 loss: 4.6566 loss_cls: 3.0145 loss_bbox: 1.6421 2024/10/27 01:57:18 - mmengine - INFO - Epoch(train) [54][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:11:50 time: 0.2885 data_time: 0.0598 memory: 2049 grad_norm: 3.3027 loss: 4.5767 loss_cls: 3.0104 loss_bbox: 1.5663 2024/10/27 01:57:31 - mmengine - INFO - Epoch(train) [54][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:11:38 time: 0.2540 data_time: 0.0259 memory: 2049 grad_norm: 3.3537 loss: 4.5498 loss_cls: 2.9564 loss_bbox: 1.5934 2024/10/27 01:57:43 - mmengine - INFO - Epoch(train) [54][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:11:24 time: 0.2433 data_time: 0.0270 memory: 2049 grad_norm: 3.2958 loss: 4.6437 loss_cls: 3.0227 loss_bbox: 1.6210 2024/10/27 01:57:56 - mmengine - INFO - Epoch(train) [54][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:11:13 time: 0.2617 data_time: 0.0431 memory: 2049 grad_norm: 3.2761 loss: 4.5785 loss_cls: 2.9730 loss_bbox: 1.6055 2024/10/27 01:58:09 - mmengine - INFO - Epoch(train) [54][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:11:01 time: 0.2612 data_time: 0.0260 memory: 2049 grad_norm: 3.1185 loss: 4.6764 loss_cls: 3.0217 loss_bbox: 1.6547 2024/10/27 01:58:21 - mmengine - INFO - Epoch(train) [54][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:10:48 time: 0.2409 data_time: 0.0246 memory: 2049 grad_norm: 3.5185 loss: 4.6160 loss_cls: 2.9892 loss_bbox: 1.6268 2024/10/27 01:58:34 - mmengine - INFO - Epoch(train) [54][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:10:35 time: 0.2550 data_time: 0.0217 memory: 2049 grad_norm: 3.0849 loss: 4.6329 loss_cls: 3.0020 loss_bbox: 1.6310 2024/10/27 01:58:46 - mmengine - INFO - Epoch(train) [54][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:10:22 time: 0.2445 data_time: 0.0204 memory: 2049 grad_norm: 3.1736 loss: 4.6365 loss_cls: 3.0067 loss_bbox: 1.6298 2024/10/27 01:58:59 - mmengine - INFO - Epoch(train) [54][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:10:09 time: 0.2461 data_time: 0.0279 memory: 2049 grad_norm: 2.9617 loss: 4.7006 loss_cls: 3.0186 loss_bbox: 1.6820 2024/10/27 01:59:11 - mmengine - INFO - Epoch(train) [54][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:09:57 time: 0.2546 data_time: 0.0205 memory: 2049 grad_norm: 3.3862 loss: 4.7016 loss_cls: 3.0351 loss_bbox: 1.6666 2024/10/27 01:59:23 - mmengine - INFO - Epoch(train) [54][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:09:43 time: 0.2352 data_time: 0.0215 memory: 2049 grad_norm: 3.3032 loss: 4.6150 loss_cls: 3.0038 loss_bbox: 1.6112 2024/10/27 01:59:36 - mmengine - INFO - Epoch(train) [54][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:09:31 time: 0.2602 data_time: 0.0283 memory: 2049 grad_norm: 3.3573 loss: 4.5970 loss_cls: 3.0106 loss_bbox: 1.5864 2024/10/27 01:59:49 - mmengine - INFO - Epoch(train) [54][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:09:19 time: 0.2605 data_time: 0.0315 memory: 2049 grad_norm: 3.2758 loss: 4.5673 loss_cls: 2.9683 loss_bbox: 1.5990 2024/10/27 02:00:02 - mmengine - INFO - Epoch(train) [54][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:09:07 time: 0.2587 data_time: 0.0307 memory: 2049 grad_norm: 3.2151 loss: 4.6867 loss_cls: 3.0143 loss_bbox: 1.6724 2024/10/27 02:00:18 - mmengine - INFO - Epoch(train) [54][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:09:01 time: 0.3143 data_time: 0.0802 memory: 2049 grad_norm: 3.0154 loss: 4.6697 loss_cls: 3.0337 loss_bbox: 1.6360 2024/10/27 02:00:30 - mmengine - INFO - Epoch(train) [54][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:08:48 time: 0.2505 data_time: 0.0273 memory: 2049 grad_norm: 3.2988 loss: 4.5733 loss_cls: 2.9843 loss_bbox: 1.5890 2024/10/27 02:00:43 - mmengine - INFO - Epoch(train) [54][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:08:36 time: 0.2540 data_time: 0.0270 memory: 2049 grad_norm: 3.1774 loss: 4.6402 loss_cls: 2.9727 loss_bbox: 1.6675 2024/10/27 02:00:56 - mmengine - INFO - Epoch(train) [54][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:08:24 time: 0.2546 data_time: 0.0308 memory: 2049 grad_norm: 3.2515 loss: 4.8173 loss_cls: 3.0985 loss_bbox: 1.7188 2024/10/27 02:01:08 - mmengine - INFO - Epoch(train) [54][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:08:10 time: 0.2451 data_time: 0.0279 memory: 2049 grad_norm: 3.0555 loss: 4.5589 loss_cls: 3.0167 loss_bbox: 1.5421 2024/10/27 02:01:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:01:21 - mmengine - INFO - Epoch(train) [54][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:07:59 time: 0.2607 data_time: 0.0265 memory: 2049 grad_norm: 3.4945 loss: 4.6357 loss_cls: 3.0257 loss_bbox: 1.6100 2024/10/27 02:01:34 - mmengine - INFO - Epoch(train) [54][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:07:46 time: 0.2522 data_time: 0.0356 memory: 2049 grad_norm: 3.2959 loss: 4.5581 loss_cls: 2.9611 loss_bbox: 1.5970 2024/10/27 02:01:47 - mmengine - INFO - Epoch(train) [54][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:07:34 time: 0.2567 data_time: 0.0273 memory: 2049 grad_norm: 3.3523 loss: 4.5571 loss_cls: 2.9428 loss_bbox: 1.6143 2024/10/27 02:01:59 - mmengine - INFO - Epoch(train) [54][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:07:22 time: 0.2505 data_time: 0.0262 memory: 2049 grad_norm: 3.1137 loss: 4.5501 loss_cls: 2.9457 loss_bbox: 1.6044 2024/10/27 02:02:12 - mmengine - INFO - Epoch(train) [54][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:07:09 time: 0.2484 data_time: 0.0260 memory: 2049 grad_norm: 3.0449 loss: 4.7446 loss_cls: 3.0811 loss_bbox: 1.6635 2024/10/27 02:02:25 - mmengine - INFO - Epoch(train) [54][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:06:58 time: 0.2703 data_time: 0.0281 memory: 2049 grad_norm: 3.1272 loss: 4.7304 loss_cls: 3.1012 loss_bbox: 1.6291 2024/10/27 02:02:38 - mmengine - INFO - Epoch(train) [54][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:06:46 time: 0.2580 data_time: 0.0258 memory: 2049 grad_norm: 3.3426 loss: 4.7721 loss_cls: 3.0879 loss_bbox: 1.6842 2024/10/27 02:02:51 - mmengine - INFO - Epoch(train) [54][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:06:34 time: 0.2614 data_time: 0.0297 memory: 2049 grad_norm: 3.4470 loss: 4.5977 loss_cls: 2.9794 loss_bbox: 1.6183 2024/10/27 02:03:04 - mmengine - INFO - Epoch(train) [54][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:06:22 time: 0.2544 data_time: 0.0385 memory: 2049 grad_norm: 3.1471 loss: 4.6671 loss_cls: 3.0408 loss_bbox: 1.6264 2024/10/27 02:03:18 - mmengine - INFO - Epoch(train) [54][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:06:13 time: 0.2917 data_time: 0.0675 memory: 2049 grad_norm: 2.9491 loss: 4.5713 loss_cls: 2.9838 loss_bbox: 1.5874 2024/10/27 02:03:32 - mmengine - INFO - Epoch(train) [54][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:06:02 time: 0.2668 data_time: 0.0285 memory: 2049 grad_norm: 3.1627 loss: 4.6804 loss_cls: 3.0475 loss_bbox: 1.6329 2024/10/27 02:03:45 - mmengine - INFO - Epoch(train) [54][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:05:50 time: 0.2613 data_time: 0.0270 memory: 2049 grad_norm: 3.4495 loss: 4.6915 loss_cls: 3.0527 loss_bbox: 1.6387 2024/10/27 02:03:58 - mmengine - INFO - Epoch(train) [54][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:05:39 time: 0.2655 data_time: 0.0282 memory: 2049 grad_norm: 3.1049 loss: 4.5045 loss_cls: 2.9425 loss_bbox: 1.5620 2024/10/27 02:04:11 - mmengine - INFO - Epoch(train) [54][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:05:27 time: 0.2558 data_time: 0.0281 memory: 2049 grad_norm: 3.0317 loss: 4.5699 loss_cls: 2.9923 loss_bbox: 1.5776 2024/10/27 02:04:24 - mmengine - INFO - Epoch(train) [54][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:05:15 time: 0.2577 data_time: 0.0273 memory: 2049 grad_norm: 3.1861 loss: 4.6282 loss_cls: 3.0140 loss_bbox: 1.6142 2024/10/27 02:04:37 - mmengine - INFO - Epoch(train) [54][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:05:04 time: 0.2631 data_time: 0.0260 memory: 2049 grad_norm: 3.1218 loss: 4.4967 loss_cls: 2.9435 loss_bbox: 1.5532 2024/10/27 02:04:50 - mmengine - INFO - Epoch(train) [54][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:04:51 time: 0.2528 data_time: 0.0340 memory: 2049 grad_norm: 3.2542 loss: 4.6042 loss_cls: 3.0237 loss_bbox: 1.5805 2024/10/27 02:05:03 - mmengine - INFO - Epoch(train) [54][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:04:40 time: 0.2703 data_time: 0.0270 memory: 2049 grad_norm: 3.1579 loss: 4.5565 loss_cls: 2.9859 loss_bbox: 1.5706 2024/10/27 02:05:17 - mmengine - INFO - Epoch(train) [54][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:04:31 time: 0.2856 data_time: 0.0756 memory: 2049 grad_norm: 3.3544 loss: 4.5876 loss_cls: 2.9633 loss_bbox: 1.6243 2024/10/27 02:05:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:05:18 - mmengine - INFO - Saving checkpoint at 54 epochs 2024/10/27 02:05:34 - mmengine - INFO - Epoch(train) [55][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:04:18 time: 0.2610 data_time: 0.0404 memory: 2049 grad_norm: 3.2065 loss: 4.7538 loss_cls: 3.0358 loss_bbox: 1.7180 2024/10/27 02:05:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:05:47 - mmengine - INFO - Epoch(train) [55][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:04:05 time: 0.2499 data_time: 0.0260 memory: 2049 grad_norm: 3.3745 loss: 4.6106 loss_cls: 2.9989 loss_bbox: 1.6116 2024/10/27 02:05:59 - mmengine - INFO - Epoch(train) [55][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:03:53 time: 0.2514 data_time: 0.0269 memory: 2049 grad_norm: 3.0877 loss: 4.6219 loss_cls: 2.9932 loss_bbox: 1.6287 2024/10/27 02:06:12 - mmengine - INFO - Epoch(train) [55][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:03:40 time: 0.2518 data_time: 0.0256 memory: 2049 grad_norm: 3.0366 loss: 4.5892 loss_cls: 2.9687 loss_bbox: 1.6205 2024/10/27 02:06:24 - mmengine - INFO - Epoch(train) [55][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:03:27 time: 0.2411 data_time: 0.0258 memory: 2049 grad_norm: 3.2549 loss: 4.5161 loss_cls: 2.9585 loss_bbox: 1.5575 2024/10/27 02:06:37 - mmengine - INFO - Epoch(train) [55][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:03:15 time: 0.2549 data_time: 0.0339 memory: 2049 grad_norm: 3.2379 loss: 4.6674 loss_cls: 3.0321 loss_bbox: 1.6353 2024/10/27 02:06:49 - mmengine - INFO - Epoch(train) [55][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:03:02 time: 0.2504 data_time: 0.0300 memory: 2049 grad_norm: 3.2683 loss: 4.6007 loss_cls: 2.9677 loss_bbox: 1.6330 2024/10/27 02:07:01 - mmengine - INFO - Epoch(train) [55][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:02:49 time: 0.2476 data_time: 0.0265 memory: 2049 grad_norm: 3.1974 loss: 4.5736 loss_cls: 2.9981 loss_bbox: 1.5755 2024/10/27 02:07:17 - mmengine - INFO - Epoch(train) [55][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:02:42 time: 0.3137 data_time: 0.0874 memory: 2049 grad_norm: 3.0905 loss: 4.6194 loss_cls: 3.0118 loss_bbox: 1.6076 2024/10/27 02:07:29 - mmengine - INFO - Epoch(train) [55][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:02:28 time: 0.2319 data_time: 0.0254 memory: 2049 grad_norm: 3.2385 loss: 4.5982 loss_cls: 2.9915 loss_bbox: 1.6068 2024/10/27 02:07:41 - mmengine - INFO - Epoch(train) [55][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:02:15 time: 0.2503 data_time: 0.0259 memory: 2049 grad_norm: 3.2975 loss: 4.6472 loss_cls: 3.0248 loss_bbox: 1.6224 2024/10/27 02:07:53 - mmengine - INFO - Epoch(train) [55][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:02:02 time: 0.2417 data_time: 0.0252 memory: 2049 grad_norm: 3.1305 loss: 4.5170 loss_cls: 2.9389 loss_bbox: 1.5782 2024/10/27 02:08:06 - mmengine - INFO - Epoch(train) [55][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:01:49 time: 0.2543 data_time: 0.0288 memory: 2049 grad_norm: 3.0816 loss: 4.5654 loss_cls: 2.9764 loss_bbox: 1.5890 2024/10/27 02:08:19 - mmengine - INFO - Epoch(train) [55][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:01:37 time: 0.2584 data_time: 0.0299 memory: 2049 grad_norm: 3.3058 loss: 4.6141 loss_cls: 3.0264 loss_bbox: 1.5877 2024/10/27 02:08:31 - mmengine - INFO - Epoch(train) [55][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:01:24 time: 0.2449 data_time: 0.0370 memory: 2049 grad_norm: 3.2772 loss: 4.6278 loss_cls: 2.9886 loss_bbox: 1.6392 2024/10/27 02:08:43 - mmengine - INFO - Epoch(train) [55][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:01:11 time: 0.2417 data_time: 0.0251 memory: 2049 grad_norm: 3.3973 loss: 4.7496 loss_cls: 3.0728 loss_bbox: 1.6768 2024/10/27 02:08:56 - mmengine - INFO - Epoch(train) [55][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:00:58 time: 0.2491 data_time: 0.0274 memory: 2049 grad_norm: 3.2799 loss: 4.6604 loss_cls: 3.0198 loss_bbox: 1.6405 2024/10/27 02:09:09 - mmengine - INFO - Epoch(train) [55][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:00:46 time: 0.2554 data_time: 0.0259 memory: 2049 grad_norm: 3.1433 loss: 4.5851 loss_cls: 2.9719 loss_bbox: 1.6133 2024/10/27 02:09:22 - mmengine - INFO - Epoch(train) [55][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:00:35 time: 0.2659 data_time: 0.0323 memory: 2049 grad_norm: 3.2415 loss: 4.5463 loss_cls: 2.9765 loss_bbox: 1.5698 2024/10/27 02:09:35 - mmengine - INFO - Epoch(train) [55][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:00:22 time: 0.2562 data_time: 0.0355 memory: 2049 grad_norm: 3.2011 loss: 4.6524 loss_cls: 3.0110 loss_bbox: 1.6414 2024/10/27 02:09:47 - mmengine - INFO - Epoch(train) [55][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 14:00:10 time: 0.2519 data_time: 0.0262 memory: 2049 grad_norm: 3.1660 loss: 4.6407 loss_cls: 3.0139 loss_bbox: 1.6268 2024/10/27 02:09:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:10:00 - mmengine - INFO - Epoch(train) [55][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:59:58 time: 0.2610 data_time: 0.0258 memory: 2049 grad_norm: 3.1796 loss: 4.6645 loss_cls: 3.0458 loss_bbox: 1.6187 2024/10/27 02:10:13 - mmengine - INFO - Epoch(train) [55][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:59:45 time: 0.2478 data_time: 0.0265 memory: 2049 grad_norm: 3.3464 loss: 4.5277 loss_cls: 2.9776 loss_bbox: 1.5502 2024/10/27 02:10:26 - mmengine - INFO - Epoch(train) [55][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:59:34 time: 0.2609 data_time: 0.0259 memory: 2049 grad_norm: 3.0930 loss: 4.6624 loss_cls: 3.0531 loss_bbox: 1.6093 2024/10/27 02:10:38 - mmengine - INFO - Epoch(train) [55][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:59:21 time: 0.2463 data_time: 0.0288 memory: 2049 grad_norm: 3.1230 loss: 4.5380 loss_cls: 2.9659 loss_bbox: 1.5721 2024/10/27 02:10:50 - mmengine - INFO - Epoch(train) [55][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:59:07 time: 0.2438 data_time: 0.0210 memory: 2049 grad_norm: 3.2391 loss: 4.6020 loss_cls: 2.9753 loss_bbox: 1.6267 2024/10/27 02:11:03 - mmengine - INFO - Epoch(train) [55][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:58:55 time: 0.2538 data_time: 0.0273 memory: 2049 grad_norm: 3.2714 loss: 4.6186 loss_cls: 2.9436 loss_bbox: 1.6750 2024/10/27 02:11:18 - mmengine - INFO - Epoch(train) [55][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:58:46 time: 0.2912 data_time: 0.0676 memory: 2049 grad_norm: 3.0619 loss: 4.5557 loss_cls: 3.0188 loss_bbox: 1.5369 2024/10/27 02:11:31 - mmengine - INFO - Epoch(train) [55][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:58:34 time: 0.2609 data_time: 0.0222 memory: 2049 grad_norm: 3.2902 loss: 4.6919 loss_cls: 3.0276 loss_bbox: 1.6643 2024/10/27 02:11:43 - mmengine - INFO - Epoch(train) [55][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:58:21 time: 0.2435 data_time: 0.0244 memory: 2049 grad_norm: 3.3344 loss: 4.6188 loss_cls: 2.9956 loss_bbox: 1.6232 2024/10/27 02:11:55 - mmengine - INFO - Epoch(train) [55][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:58:08 time: 0.2499 data_time: 0.0227 memory: 2049 grad_norm: 3.2159 loss: 4.6734 loss_cls: 3.0232 loss_bbox: 1.6502 2024/10/27 02:12:08 - mmengine - INFO - Epoch(train) [55][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:57:55 time: 0.2467 data_time: 0.0219 memory: 2049 grad_norm: 3.4962 loss: 4.6678 loss_cls: 3.0339 loss_bbox: 1.6339 2024/10/27 02:12:20 - mmengine - INFO - Epoch(train) [55][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:57:42 time: 0.2421 data_time: 0.0227 memory: 2049 grad_norm: 3.2887 loss: 4.6275 loss_cls: 2.9891 loss_bbox: 1.6384 2024/10/27 02:12:33 - mmengine - INFO - Epoch(train) [55][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:57:30 time: 0.2561 data_time: 0.0218 memory: 2049 grad_norm: 3.2818 loss: 4.5934 loss_cls: 2.9649 loss_bbox: 1.6286 2024/10/27 02:12:45 - mmengine - INFO - Epoch(train) [55][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:57:16 time: 0.2373 data_time: 0.0223 memory: 2049 grad_norm: 3.1530 loss: 4.5682 loss_cls: 2.9831 loss_bbox: 1.5852 2024/10/27 02:12:57 - mmengine - INFO - Epoch(train) [55][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:57:04 time: 0.2551 data_time: 0.0266 memory: 2049 grad_norm: 3.0047 loss: 4.5976 loss_cls: 3.0354 loss_bbox: 1.5622 2024/10/27 02:13:10 - mmengine - INFO - Epoch(train) [55][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:56:52 time: 0.2617 data_time: 0.0225 memory: 2049 grad_norm: 3.2513 loss: 4.5959 loss_cls: 2.9637 loss_bbox: 1.6323 2024/10/27 02:13:23 - mmengine - INFO - Epoch(train) [55][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:56:39 time: 0.2434 data_time: 0.0210 memory: 2049 grad_norm: 3.2311 loss: 4.6376 loss_cls: 3.0491 loss_bbox: 1.5885 2024/10/27 02:13:36 - mmengine - INFO - Epoch(train) [55][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:56:27 time: 0.2599 data_time: 0.0206 memory: 2049 grad_norm: 3.2042 loss: 4.7118 loss_cls: 3.0849 loss_bbox: 1.6269 2024/10/27 02:13:48 - mmengine - INFO - Epoch(train) [55][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:56:13 time: 0.2398 data_time: 0.0205 memory: 2049 grad_norm: 3.3396 loss: 4.5871 loss_cls: 3.0010 loss_bbox: 1.5861 2024/10/27 02:14:00 - mmengine - INFO - Epoch(train) [55][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:56:01 time: 0.2516 data_time: 0.0211 memory: 2049 grad_norm: 3.1532 loss: 4.6560 loss_cls: 3.0196 loss_bbox: 1.6364 2024/10/27 02:14:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:14:13 - mmengine - INFO - Epoch(train) [55][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:55:48 time: 0.2548 data_time: 0.0213 memory: 2049 grad_norm: 3.4821 loss: 4.5689 loss_cls: 2.9377 loss_bbox: 1.6312 2024/10/27 02:14:25 - mmengine - INFO - Epoch(train) [55][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:55:35 time: 0.2474 data_time: 0.0278 memory: 2049 grad_norm: 3.2007 loss: 4.6549 loss_cls: 3.0107 loss_bbox: 1.6442 2024/10/27 02:14:38 - mmengine - INFO - Epoch(train) [55][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:55:23 time: 0.2513 data_time: 0.0215 memory: 2049 grad_norm: 3.1774 loss: 4.7271 loss_cls: 3.0652 loss_bbox: 1.6620 2024/10/27 02:14:50 - mmengine - INFO - Epoch(train) [55][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:55:10 time: 0.2443 data_time: 0.0254 memory: 2049 grad_norm: 2.9794 loss: 4.6263 loss_cls: 3.0056 loss_bbox: 1.6207 2024/10/27 02:15:03 - mmengine - INFO - Epoch(train) [55][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:54:57 time: 0.2511 data_time: 0.0259 memory: 2049 grad_norm: 3.2505 loss: 4.6256 loss_cls: 2.9894 loss_bbox: 1.6363 2024/10/27 02:15:19 - mmengine - INFO - Epoch(train) [55][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:54:51 time: 0.3234 data_time: 0.0865 memory: 2049 grad_norm: 3.2312 loss: 4.6794 loss_cls: 3.0582 loss_bbox: 1.6211 2024/10/27 02:15:31 - mmengine - INFO - Epoch(train) [55][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:54:38 time: 0.2435 data_time: 0.0227 memory: 2049 grad_norm: 3.4229 loss: 4.7019 loss_cls: 3.0361 loss_bbox: 1.6658 2024/10/27 02:15:44 - mmengine - INFO - Epoch(train) [55][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:54:26 time: 0.2635 data_time: 0.0238 memory: 2049 grad_norm: 3.4802 loss: 4.5537 loss_cls: 2.9785 loss_bbox: 1.5752 2024/10/27 02:15:56 - mmengine - INFO - Epoch(train) [55][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:54:13 time: 0.2450 data_time: 0.0223 memory: 2049 grad_norm: 3.2619 loss: 4.5615 loss_cls: 2.9665 loss_bbox: 1.5950 2024/10/27 02:16:09 - mmengine - INFO - Epoch(train) [55][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:54:00 time: 0.2468 data_time: 0.0218 memory: 2049 grad_norm: 3.0739 loss: 4.6366 loss_cls: 3.0146 loss_bbox: 1.6220 2024/10/27 02:16:22 - mmengine - INFO - Epoch(train) [55][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:53:49 time: 0.2672 data_time: 0.0216 memory: 2049 grad_norm: 3.0999 loss: 4.5569 loss_cls: 2.9939 loss_bbox: 1.5629 2024/10/27 02:16:34 - mmengine - INFO - Epoch(train) [55][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:53:35 time: 0.2394 data_time: 0.0218 memory: 2049 grad_norm: 3.0541 loss: 4.6570 loss_cls: 3.0401 loss_bbox: 1.6169 2024/10/27 02:16:48 - mmengine - INFO - Epoch(train) [55][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:53:24 time: 0.2667 data_time: 0.0221 memory: 2049 grad_norm: 3.1590 loss: 4.5923 loss_cls: 2.9652 loss_bbox: 1.6272 2024/10/27 02:17:00 - mmengine - INFO - Epoch(train) [55][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:53:12 time: 0.2537 data_time: 0.0286 memory: 2049 grad_norm: 3.0568 loss: 4.6048 loss_cls: 3.0290 loss_bbox: 1.5758 2024/10/27 02:17:13 - mmengine - INFO - Epoch(train) [55][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:53:00 time: 0.2626 data_time: 0.0308 memory: 2049 grad_norm: 3.2992 loss: 4.6037 loss_cls: 2.9662 loss_bbox: 1.6376 2024/10/27 02:17:27 - mmengine - INFO - Epoch(train) [55][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:52:48 time: 0.2632 data_time: 0.0225 memory: 2049 grad_norm: 3.2429 loss: 4.6062 loss_cls: 3.0185 loss_bbox: 1.5877 2024/10/27 02:17:39 - mmengine - INFO - Epoch(train) [55][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:52:36 time: 0.2523 data_time: 0.0226 memory: 2049 grad_norm: 3.3124 loss: 4.6139 loss_cls: 2.9961 loss_bbox: 1.6177 2024/10/27 02:17:53 - mmengine - INFO - Epoch(train) [55][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:52:25 time: 0.2686 data_time: 0.0223 memory: 2049 grad_norm: 3.3433 loss: 4.6111 loss_cls: 3.0349 loss_bbox: 1.5762 2024/10/27 02:18:06 - mmengine - INFO - Epoch(train) [55][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:52:13 time: 0.2628 data_time: 0.0328 memory: 2049 grad_norm: 3.2291 loss: 4.6632 loss_cls: 3.0186 loss_bbox: 1.6447 2024/10/27 02:18:19 - mmengine - INFO - Epoch(train) [55][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:52:01 time: 0.2595 data_time: 0.0232 memory: 2049 grad_norm: 3.2488 loss: 4.5407 loss_cls: 2.9796 loss_bbox: 1.5611 2024/10/27 02:18:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:18:20 - mmengine - INFO - Saving checkpoint at 55 epochs 2024/10/27 02:18:24 - mmengine - INFO - Epoch(val) [55][50/79] eta: 0:00:01 time: 0.0403 data_time: 0.0048 memory: 2049 2024/10/27 02:18:36 - mmengine - INFO - Evaluating bbox... 2024/10/27 02:19:34 - mmengine - INFO - bbox_mAP_copypaste: 0.170 0.299 0.172 0.015 0.152 0.342 2024/10/27 02:19:35 - mmengine - INFO - Epoch(val) [55][79/79] coco/bbox_mAP: 0.1700 coco/bbox_mAP_50: 0.2990 coco/bbox_mAP_75: 0.1720 coco/bbox_mAP_s: 0.0150 coco/bbox_mAP_m: 0.1520 coco/bbox_mAP_l: 0.3420 data_time: 0.0044 time: 0.0395 2024/10/27 02:19:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:19:48 - mmengine - INFO - Epoch(train) [56][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:51:48 time: 0.2612 data_time: 0.0372 memory: 2049 grad_norm: 3.2873 loss: 4.6638 loss_cls: 3.0088 loss_bbox: 1.6551 2024/10/27 02:20:00 - mmengine - INFO - Epoch(train) [56][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:51:35 time: 0.2466 data_time: 0.0303 memory: 2049 grad_norm: 3.2081 loss: 4.5446 loss_cls: 2.9451 loss_bbox: 1.5995 2024/10/27 02:20:13 - mmengine - INFO - Epoch(train) [56][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:51:23 time: 0.2529 data_time: 0.0233 memory: 2049 grad_norm: 3.2517 loss: 4.6233 loss_cls: 3.0184 loss_bbox: 1.6049 2024/10/27 02:20:24 - mmengine - INFO - Epoch(train) [56][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:51:08 time: 0.2266 data_time: 0.0226 memory: 2049 grad_norm: 3.4682 loss: 4.6124 loss_cls: 3.0004 loss_bbox: 1.6120 2024/10/27 02:20:36 - mmengine - INFO - Epoch(train) [56][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:50:55 time: 0.2458 data_time: 0.0242 memory: 2049 grad_norm: 3.5092 loss: 4.6555 loss_cls: 3.0070 loss_bbox: 1.6485 2024/10/27 02:20:49 - mmengine - INFO - Epoch(train) [56][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:50:43 time: 0.2514 data_time: 0.0243 memory: 2049 grad_norm: 3.1587 loss: 4.5605 loss_cls: 2.9471 loss_bbox: 1.6134 2024/10/27 02:21:02 - mmengine - INFO - Epoch(train) [56][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:50:30 time: 0.2527 data_time: 0.0326 memory: 2049 grad_norm: 3.1879 loss: 4.6143 loss_cls: 3.0365 loss_bbox: 1.5778 2024/10/27 02:21:18 - mmengine - INFO - Epoch(train) [56][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:50:24 time: 0.3297 data_time: 0.0933 memory: 2049 grad_norm: 3.1206 loss: 4.6116 loss_cls: 2.9990 loss_bbox: 1.6126 2024/10/27 02:21:30 - mmengine - INFO - Epoch(train) [56][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:50:11 time: 0.2439 data_time: 0.0214 memory: 2049 grad_norm: 3.0123 loss: 4.5661 loss_cls: 2.9606 loss_bbox: 1.6056 2024/10/27 02:21:43 - mmengine - INFO - Epoch(train) [56][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:49:59 time: 0.2584 data_time: 0.0334 memory: 2049 grad_norm: 3.4139 loss: 4.5908 loss_cls: 3.0035 loss_bbox: 1.5873 2024/10/27 02:21:56 - mmengine - INFO - Epoch(train) [56][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:49:48 time: 0.2642 data_time: 0.0269 memory: 2049 grad_norm: 3.2452 loss: 4.7096 loss_cls: 3.0625 loss_bbox: 1.6471 2024/10/27 02:22:10 - mmengine - INFO - Epoch(train) [56][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:49:36 time: 0.2601 data_time: 0.0248 memory: 2049 grad_norm: 3.3526 loss: 4.6558 loss_cls: 3.0293 loss_bbox: 1.6265 2024/10/27 02:22:23 - mmengine - INFO - Epoch(train) [56][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:49:25 time: 0.2742 data_time: 0.0297 memory: 2049 grad_norm: 3.2044 loss: 4.6747 loss_cls: 3.0437 loss_bbox: 1.6311 2024/10/27 02:22:36 - mmengine - INFO - Epoch(train) [56][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:49:13 time: 0.2544 data_time: 0.0390 memory: 2049 grad_norm: 3.2484 loss: 4.5566 loss_cls: 3.0067 loss_bbox: 1.5499 2024/10/27 02:22:49 - mmengine - INFO - Epoch(train) [56][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:49:02 time: 0.2660 data_time: 0.0316 memory: 2049 grad_norm: 3.0897 loss: 4.5323 loss_cls: 2.9545 loss_bbox: 1.5778 2024/10/27 02:23:02 - mmengine - INFO - Epoch(train) [56][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:48:50 time: 0.2582 data_time: 0.0277 memory: 2049 grad_norm: 3.4180 loss: 4.5927 loss_cls: 2.9734 loss_bbox: 1.6194 2024/10/27 02:23:17 - mmengine - INFO - Epoch(train) [56][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:48:41 time: 0.2998 data_time: 0.0921 memory: 2049 grad_norm: 3.1415 loss: 4.7047 loss_cls: 3.0262 loss_bbox: 1.6786 2024/10/27 02:23:31 - mmengine - INFO - Epoch(train) [56][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:48:31 time: 0.2791 data_time: 0.0282 memory: 2049 grad_norm: 3.2915 loss: 4.7174 loss_cls: 3.0277 loss_bbox: 1.6898 2024/10/27 02:23:44 - mmengine - INFO - Epoch(train) [56][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:48:18 time: 0.2522 data_time: 0.0346 memory: 2049 grad_norm: 3.1568 loss: 4.5564 loss_cls: 2.9599 loss_bbox: 1.5965 2024/10/27 02:23:57 - mmengine - INFO - Epoch(train) [56][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:48:07 time: 0.2611 data_time: 0.0277 memory: 2049 grad_norm: 3.3886 loss: 4.6885 loss_cls: 3.0358 loss_bbox: 1.6527 2024/10/27 02:24:05 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:24:10 - mmengine - INFO - Epoch(train) [56][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:47:55 time: 0.2611 data_time: 0.0277 memory: 2049 grad_norm: 3.2437 loss: 4.5005 loss_cls: 2.9269 loss_bbox: 1.5736 2024/10/27 02:24:22 - mmengine - INFO - Epoch(train) [56][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:47:41 time: 0.2396 data_time: 0.0316 memory: 2049 grad_norm: 2.9098 loss: 4.5299 loss_cls: 2.9570 loss_bbox: 1.5729 2024/10/27 02:24:36 - mmengine - INFO - Epoch(train) [56][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:47:32 time: 0.2840 data_time: 0.0372 memory: 2049 grad_norm: 3.0899 loss: 4.6363 loss_cls: 3.0223 loss_bbox: 1.6140 2024/10/27 02:24:49 - mmengine - INFO - Epoch(train) [56][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:47:19 time: 0.2484 data_time: 0.0277 memory: 2049 grad_norm: 3.1398 loss: 4.6486 loss_cls: 3.0202 loss_bbox: 1.6285 2024/10/27 02:25:01 - mmengine - INFO - Epoch(train) [56][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:47:06 time: 0.2475 data_time: 0.0294 memory: 2049 grad_norm: 3.2173 loss: 4.5619 loss_cls: 2.9449 loss_bbox: 1.6170 2024/10/27 02:25:15 - mmengine - INFO - Epoch(train) [56][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:46:55 time: 0.2711 data_time: 0.0359 memory: 2049 grad_norm: 2.9498 loss: 4.7485 loss_cls: 3.0660 loss_bbox: 1.6824 2024/10/27 02:25:26 - mmengine - INFO - Epoch(train) [56][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:46:41 time: 0.2344 data_time: 0.0272 memory: 2049 grad_norm: 3.3211 loss: 4.6529 loss_cls: 2.9947 loss_bbox: 1.6582 2024/10/27 02:25:40 - mmengine - INFO - Epoch(train) [56][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:46:30 time: 0.2675 data_time: 0.0262 memory: 2049 grad_norm: 3.0207 loss: 4.6177 loss_cls: 3.0324 loss_bbox: 1.5852 2024/10/27 02:25:52 - mmengine - INFO - Epoch(train) [56][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:46:16 time: 0.2404 data_time: 0.0285 memory: 2049 grad_norm: 3.4876 loss: 4.6704 loss_cls: 3.0271 loss_bbox: 1.6432 2024/10/27 02:26:04 - mmengine - INFO - Epoch(train) [56][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:46:04 time: 0.2527 data_time: 0.0265 memory: 2049 grad_norm: 3.3888 loss: 4.5940 loss_cls: 2.9833 loss_bbox: 1.6108 2024/10/27 02:26:18 - mmengine - INFO - Epoch(train) [56][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:45:53 time: 0.2798 data_time: 0.0426 memory: 2049 grad_norm: 3.3738 loss: 4.5917 loss_cls: 2.9806 loss_bbox: 1.6111 2024/10/27 02:26:30 - mmengine - INFO - Epoch(train) [56][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:45:39 time: 0.2323 data_time: 0.0271 memory: 2049 grad_norm: 3.2607 loss: 4.5723 loss_cls: 2.9947 loss_bbox: 1.5775 2024/10/27 02:26:44 - mmengine - INFO - Epoch(train) [56][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:45:28 time: 0.2723 data_time: 0.0269 memory: 2049 grad_norm: 3.2562 loss: 4.5647 loss_cls: 2.9976 loss_bbox: 1.5671 2024/10/27 02:26:56 - mmengine - INFO - Epoch(train) [56][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:45:16 time: 0.2478 data_time: 0.0274 memory: 2049 grad_norm: 3.1659 loss: 4.6472 loss_cls: 3.0293 loss_bbox: 1.6180 2024/10/27 02:27:09 - mmengine - INFO - Epoch(train) [56][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:45:03 time: 0.2555 data_time: 0.0368 memory: 2049 grad_norm: 3.3206 loss: 4.6563 loss_cls: 3.0283 loss_bbox: 1.6280 2024/10/27 02:27:22 - mmengine - INFO - Epoch(train) [56][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:44:52 time: 0.2657 data_time: 0.0269 memory: 2049 grad_norm: 3.1892 loss: 4.6860 loss_cls: 3.0131 loss_bbox: 1.6728 2024/10/27 02:27:34 - mmengine - INFO - Epoch(train) [56][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:44:39 time: 0.2432 data_time: 0.0274 memory: 2049 grad_norm: 3.4757 loss: 4.5922 loss_cls: 2.9789 loss_bbox: 1.6133 2024/10/27 02:27:47 - mmengine - INFO - Epoch(train) [56][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:44:27 time: 0.2648 data_time: 0.0348 memory: 2049 grad_norm: 3.0287 loss: 4.7320 loss_cls: 3.0342 loss_bbox: 1.6978 2024/10/27 02:28:00 - mmengine - INFO - Epoch(train) [56][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:44:15 time: 0.2512 data_time: 0.0270 memory: 2049 grad_norm: 3.3408 loss: 4.7289 loss_cls: 3.0759 loss_bbox: 1.6530 2024/10/27 02:28:13 - mmengine - INFO - Epoch(train) [56][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:44:03 time: 0.2619 data_time: 0.0261 memory: 2049 grad_norm: 3.4478 loss: 4.5295 loss_cls: 2.9642 loss_bbox: 1.5654 2024/10/27 02:28:22 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:28:26 - mmengine - INFO - Epoch(train) [56][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:43:51 time: 0.2603 data_time: 0.0281 memory: 2049 grad_norm: 3.0561 loss: 4.6060 loss_cls: 3.0344 loss_bbox: 1.5716 2024/10/27 02:28:39 - mmengine - INFO - Epoch(train) [56][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:43:39 time: 0.2566 data_time: 0.0262 memory: 2049 grad_norm: 3.5179 loss: 4.7176 loss_cls: 3.0244 loss_bbox: 1.6931 2024/10/27 02:28:52 - mmengine - INFO - Epoch(train) [56][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:43:27 time: 0.2574 data_time: 0.0268 memory: 2049 grad_norm: 3.0561 loss: 4.6440 loss_cls: 3.0169 loss_bbox: 1.6271 2024/10/27 02:29:04 - mmengine - INFO - Epoch(train) [56][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:43:13 time: 0.2426 data_time: 0.0268 memory: 2049 grad_norm: 3.2560 loss: 4.6752 loss_cls: 3.0297 loss_bbox: 1.6455 2024/10/27 02:29:18 - mmengine - INFO - Epoch(train) [56][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:43:04 time: 0.2849 data_time: 0.0641 memory: 2049 grad_norm: 3.1839 loss: 4.6678 loss_cls: 3.0536 loss_bbox: 1.6142 2024/10/27 02:29:32 - mmengine - INFO - Epoch(train) [56][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:42:52 time: 0.2663 data_time: 0.0288 memory: 2049 grad_norm: 3.4066 loss: 4.6678 loss_cls: 3.0225 loss_bbox: 1.6453 2024/10/27 02:29:44 - mmengine - INFO - Epoch(train) [56][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:42:40 time: 0.2489 data_time: 0.0280 memory: 2049 grad_norm: 3.0603 loss: 4.5395 loss_cls: 2.9606 loss_bbox: 1.5789 2024/10/27 02:29:57 - mmengine - INFO - Epoch(train) [56][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:42:27 time: 0.2555 data_time: 0.0340 memory: 2049 grad_norm: 3.2849 loss: 4.5882 loss_cls: 2.9613 loss_bbox: 1.6269 2024/10/27 02:30:10 - mmengine - INFO - Epoch(train) [56][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:42:15 time: 0.2526 data_time: 0.0250 memory: 2049 grad_norm: 3.2203 loss: 4.6162 loss_cls: 2.9621 loss_bbox: 1.6541 2024/10/27 02:30:22 - mmengine - INFO - Epoch(train) [56][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:42:01 time: 0.2422 data_time: 0.0229 memory: 2049 grad_norm: 3.2523 loss: 4.6867 loss_cls: 3.0174 loss_bbox: 1.6693 2024/10/27 02:30:34 - mmengine - INFO - Epoch(train) [56][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:41:48 time: 0.2476 data_time: 0.0223 memory: 2049 grad_norm: 3.1876 loss: 4.5638 loss_cls: 2.9677 loss_bbox: 1.5961 2024/10/27 02:30:47 - mmengine - INFO - Epoch(train) [56][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:41:36 time: 0.2506 data_time: 0.0234 memory: 2049 grad_norm: 3.2989 loss: 4.6028 loss_cls: 2.9640 loss_bbox: 1.6388 2024/10/27 02:30:59 - mmengine - INFO - Epoch(train) [56][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:41:23 time: 0.2486 data_time: 0.0283 memory: 2049 grad_norm: 3.2223 loss: 4.6805 loss_cls: 3.0119 loss_bbox: 1.6686 2024/10/27 02:31:11 - mmengine - INFO - Epoch(train) [56][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:41:10 time: 0.2491 data_time: 0.0225 memory: 2049 grad_norm: 3.4157 loss: 4.6222 loss_cls: 2.9870 loss_bbox: 1.6352 2024/10/27 02:31:24 - mmengine - INFO - Epoch(train) [56][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:40:57 time: 0.2433 data_time: 0.0235 memory: 2049 grad_norm: 3.2677 loss: 4.5811 loss_cls: 2.9737 loss_bbox: 1.6074 2024/10/27 02:31:36 - mmengine - INFO - Epoch(train) [56][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:40:44 time: 0.2504 data_time: 0.0253 memory: 2049 grad_norm: 3.2147 loss: 4.6495 loss_cls: 3.0393 loss_bbox: 1.6103 2024/10/27 02:31:49 - mmengine - INFO - Epoch(train) [56][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:40:33 time: 0.2655 data_time: 0.0451 memory: 2049 grad_norm: 3.3269 loss: 4.5670 loss_cls: 2.9794 loss_bbox: 1.5876 2024/10/27 02:32:02 - mmengine - INFO - Epoch(train) [56][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:40:20 time: 0.2462 data_time: 0.0264 memory: 2049 grad_norm: 3.2301 loss: 4.5893 loss_cls: 2.9912 loss_bbox: 1.5981 2024/10/27 02:32:18 - mmengine - INFO - Epoch(train) [56][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:40:14 time: 0.3310 data_time: 0.0885 memory: 2049 grad_norm: 3.0765 loss: 4.5793 loss_cls: 2.9592 loss_bbox: 1.6201 2024/10/27 02:32:30 - mmengine - INFO - Epoch(train) [56][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:40:00 time: 0.2410 data_time: 0.0261 memory: 2049 grad_norm: 3.2280 loss: 4.7113 loss_cls: 3.0885 loss_bbox: 1.6228 2024/10/27 02:32:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:32:43 - mmengine - INFO - Epoch(train) [56][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:39:48 time: 0.2532 data_time: 0.0273 memory: 2049 grad_norm: 3.1203 loss: 4.5398 loss_cls: 2.9626 loss_bbox: 1.5773 2024/10/27 02:32:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:32:44 - mmengine - INFO - Saving checkpoint at 56 epochs 2024/10/27 02:33:00 - mmengine - INFO - Epoch(train) [57][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:39:33 time: 0.2407 data_time: 0.0389 memory: 2049 grad_norm: 3.1456 loss: 4.5880 loss_cls: 2.9531 loss_bbox: 1.6350 2024/10/27 02:33:12 - mmengine - INFO - Epoch(train) [57][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:39:20 time: 0.2422 data_time: 0.0317 memory: 2049 grad_norm: 3.2681 loss: 4.5612 loss_cls: 2.9416 loss_bbox: 1.6197 2024/10/27 02:33:24 - mmengine - INFO - Epoch(train) [57][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:39:06 time: 0.2414 data_time: 0.0282 memory: 2049 grad_norm: 3.3267 loss: 4.5882 loss_cls: 2.9901 loss_bbox: 1.5981 2024/10/27 02:33:35 - mmengine - INFO - Epoch(train) [57][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:38:51 time: 0.2184 data_time: 0.0288 memory: 2049 grad_norm: 3.3433 loss: 4.6670 loss_cls: 3.0312 loss_bbox: 1.6358 2024/10/27 02:33:47 - mmengine - INFO - Epoch(train) [57][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:38:37 time: 0.2365 data_time: 0.0353 memory: 2049 grad_norm: 3.3228 loss: 4.7081 loss_cls: 3.0225 loss_bbox: 1.6856 2024/10/27 02:33:58 - mmengine - INFO - Epoch(train) [57][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:38:23 time: 0.2372 data_time: 0.0316 memory: 2049 grad_norm: 3.0999 loss: 4.6355 loss_cls: 3.0163 loss_bbox: 1.6192 2024/10/27 02:34:11 - mmengine - INFO - Epoch(train) [57][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:38:10 time: 0.2463 data_time: 0.0322 memory: 2049 grad_norm: 3.2444 loss: 4.6375 loss_cls: 2.9985 loss_bbox: 1.6389 2024/10/27 02:34:23 - mmengine - INFO - Epoch(train) [57][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:37:57 time: 0.2402 data_time: 0.0284 memory: 2049 grad_norm: 3.3168 loss: 4.6231 loss_cls: 2.9955 loss_bbox: 1.6277 2024/10/27 02:34:34 - mmengine - INFO - Epoch(train) [57][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:37:42 time: 0.2273 data_time: 0.0268 memory: 2049 grad_norm: 3.2575 loss: 4.7193 loss_cls: 3.0195 loss_bbox: 1.6998 2024/10/27 02:34:47 - mmengine - INFO - Epoch(train) [57][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:37:29 time: 0.2460 data_time: 0.0261 memory: 2049 grad_norm: 3.3206 loss: 4.5983 loss_cls: 3.0169 loss_bbox: 1.5814 2024/10/27 02:34:58 - mmengine - INFO - Epoch(train) [57][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:37:15 time: 0.2320 data_time: 0.0265 memory: 2049 grad_norm: 3.1843 loss: 4.7444 loss_cls: 3.0775 loss_bbox: 1.6669 2024/10/27 02:35:10 - mmengine - INFO - Epoch(train) [57][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:37:01 time: 0.2383 data_time: 0.0340 memory: 2049 grad_norm: 3.3490 loss: 4.6278 loss_cls: 3.0176 loss_bbox: 1.6101 2024/10/27 02:35:22 - mmengine - INFO - Epoch(train) [57][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:36:48 time: 0.2448 data_time: 0.0305 memory: 2049 grad_norm: 3.2619 loss: 4.6892 loss_cls: 3.0430 loss_bbox: 1.6462 2024/10/27 02:35:34 - mmengine - INFO - Epoch(train) [57][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:36:33 time: 0.2256 data_time: 0.0276 memory: 2049 grad_norm: 3.3240 loss: 4.5376 loss_cls: 2.9593 loss_bbox: 1.5783 2024/10/27 02:35:46 - mmengine - INFO - Epoch(train) [57][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:36:21 time: 0.2501 data_time: 0.0278 memory: 2049 grad_norm: 3.4203 loss: 4.6030 loss_cls: 3.0106 loss_bbox: 1.5924 2024/10/27 02:35:58 - mmengine - INFO - Epoch(train) [57][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:36:07 time: 0.2403 data_time: 0.0303 memory: 2049 grad_norm: 3.3336 loss: 4.5876 loss_cls: 2.9704 loss_bbox: 1.6172 2024/10/27 02:36:11 - mmengine - INFO - Epoch(train) [57][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:35:55 time: 0.2530 data_time: 0.0257 memory: 2049 grad_norm: 3.0173 loss: 4.5095 loss_cls: 2.9571 loss_bbox: 1.5525 2024/10/27 02:36:23 - mmengine - INFO - Epoch(train) [57][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:35:42 time: 0.2521 data_time: 0.0259 memory: 2049 grad_norm: 3.2630 loss: 4.6581 loss_cls: 2.9874 loss_bbox: 1.6707 2024/10/27 02:36:36 - mmengine - INFO - Epoch(train) [57][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:35:29 time: 0.2475 data_time: 0.0354 memory: 2049 grad_norm: 3.3042 loss: 4.6786 loss_cls: 3.0576 loss_bbox: 1.6211 2024/10/27 02:36:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:36:49 - mmengine - INFO - Epoch(train) [57][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:35:17 time: 0.2549 data_time: 0.0303 memory: 2049 grad_norm: 3.3957 loss: 4.5582 loss_cls: 2.9744 loss_bbox: 1.5837 2024/10/27 02:37:01 - mmengine - INFO - Epoch(train) [57][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:35:03 time: 0.2393 data_time: 0.0257 memory: 2049 grad_norm: 3.0247 loss: 4.6191 loss_cls: 3.0274 loss_bbox: 1.5917 2024/10/27 02:37:13 - mmengine - INFO - Epoch(train) [57][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:34:50 time: 0.2488 data_time: 0.0255 memory: 2049 grad_norm: 3.3143 loss: 4.5478 loss_cls: 2.9478 loss_bbox: 1.6001 2024/10/27 02:37:25 - mmengine - INFO - Epoch(train) [57][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:34:37 time: 0.2429 data_time: 0.0256 memory: 2049 grad_norm: 3.2227 loss: 4.7147 loss_cls: 3.0442 loss_bbox: 1.6705 2024/10/27 02:37:37 - mmengine - INFO - Epoch(train) [57][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:34:24 time: 0.2427 data_time: 0.0329 memory: 2049 grad_norm: 3.4570 loss: 4.5296 loss_cls: 2.9739 loss_bbox: 1.5557 2024/10/27 02:37:50 - mmengine - INFO - Epoch(train) [57][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:34:12 time: 0.2555 data_time: 0.0266 memory: 2049 grad_norm: 3.2792 loss: 4.5546 loss_cls: 2.9901 loss_bbox: 1.5646 2024/10/27 02:38:03 - mmengine - INFO - Epoch(train) [57][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:33:59 time: 0.2477 data_time: 0.0263 memory: 2049 grad_norm: 3.3868 loss: 4.6163 loss_cls: 3.0266 loss_bbox: 1.5897 2024/10/27 02:38:19 - mmengine - INFO - Epoch(train) [57][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:33:52 time: 0.3264 data_time: 0.0890 memory: 2049 grad_norm: 3.1475 loss: 4.5771 loss_cls: 3.0048 loss_bbox: 1.5723 2024/10/27 02:38:31 - mmengine - INFO - Epoch(train) [57][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:33:39 time: 0.2431 data_time: 0.0249 memory: 2049 grad_norm: 3.4751 loss: 4.6083 loss_cls: 2.9938 loss_bbox: 1.6145 2024/10/27 02:38:43 - mmengine - INFO - Epoch(train) [57][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:33:26 time: 0.2474 data_time: 0.0337 memory: 2049 grad_norm: 3.2832 loss: 4.6104 loss_cls: 2.9904 loss_bbox: 1.6201 2024/10/27 02:38:56 - mmengine - INFO - Epoch(train) [57][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:33:14 time: 0.2579 data_time: 0.0255 memory: 2049 grad_norm: 3.3976 loss: 4.6953 loss_cls: 3.0158 loss_bbox: 1.6795 2024/10/27 02:39:09 - mmengine - INFO - Epoch(train) [57][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:33:01 time: 0.2498 data_time: 0.0273 memory: 2049 grad_norm: 3.1479 loss: 4.5729 loss_cls: 3.0020 loss_bbox: 1.5709 2024/10/27 02:39:22 - mmengine - INFO - Epoch(train) [57][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:32:50 time: 0.2617 data_time: 0.0366 memory: 2049 grad_norm: 3.4839 loss: 4.6063 loss_cls: 3.0031 loss_bbox: 1.6032 2024/10/27 02:39:34 - mmengine - INFO - Epoch(train) [57][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:32:35 time: 0.2336 data_time: 0.0258 memory: 2049 grad_norm: 3.1734 loss: 4.5914 loss_cls: 2.9971 loss_bbox: 1.5943 2024/10/27 02:39:45 - mmengine - INFO - Epoch(train) [57][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:32:22 time: 0.2377 data_time: 0.0253 memory: 2049 grad_norm: 3.1908 loss: 4.5991 loss_cls: 2.9789 loss_bbox: 1.6202 2024/10/27 02:39:59 - mmengine - INFO - Epoch(train) [57][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:32:11 time: 0.2690 data_time: 0.0437 memory: 2049 grad_norm: 3.4011 loss: 4.6211 loss_cls: 3.0574 loss_bbox: 1.5638 2024/10/27 02:40:11 - mmengine - INFO - Epoch(train) [57][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:31:57 time: 0.2437 data_time: 0.0224 memory: 2049 grad_norm: 3.1743 loss: 4.6164 loss_cls: 2.9746 loss_bbox: 1.6417 2024/10/27 02:40:24 - mmengine - INFO - Epoch(train) [57][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:31:46 time: 0.2629 data_time: 0.0235 memory: 2049 grad_norm: 3.2311 loss: 4.6493 loss_cls: 3.0341 loss_bbox: 1.6153 2024/10/27 02:40:36 - mmengine - INFO - Epoch(train) [57][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:31:32 time: 0.2417 data_time: 0.0290 memory: 2049 grad_norm: 3.3888 loss: 4.6456 loss_cls: 2.9921 loss_bbox: 1.6536 2024/10/27 02:40:49 - mmengine - INFO - Epoch(train) [57][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:31:19 time: 0.2429 data_time: 0.0237 memory: 2049 grad_norm: 3.2965 loss: 4.6758 loss_cls: 3.0104 loss_bbox: 1.6654 2024/10/27 02:40:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:41:01 - mmengine - INFO - Epoch(train) [57][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:31:07 time: 0.2591 data_time: 0.0269 memory: 2049 grad_norm: 3.1075 loss: 4.6586 loss_cls: 3.0465 loss_bbox: 1.6121 2024/10/27 02:41:16 - mmengine - INFO - Epoch(train) [57][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:30:58 time: 0.2956 data_time: 0.0758 memory: 2049 grad_norm: 3.6161 loss: 4.5417 loss_cls: 2.9605 loss_bbox: 1.5812 2024/10/27 02:41:29 - mmengine - INFO - Epoch(train) [57][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:30:46 time: 0.2548 data_time: 0.0258 memory: 2049 grad_norm: 3.3143 loss: 4.5762 loss_cls: 2.9628 loss_bbox: 1.6134 2024/10/27 02:41:41 - mmengine - INFO - Epoch(train) [57][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:30:33 time: 0.2481 data_time: 0.0224 memory: 2049 grad_norm: 3.2056 loss: 4.5223 loss_cls: 2.9732 loss_bbox: 1.5491 2024/10/27 02:41:54 - mmengine - INFO - Epoch(train) [57][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:30:21 time: 0.2570 data_time: 0.0225 memory: 2049 grad_norm: 3.3597 loss: 4.5063 loss_cls: 2.9481 loss_bbox: 1.5582 2024/10/27 02:42:07 - mmengine - INFO - Epoch(train) [57][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:30:08 time: 0.2486 data_time: 0.0275 memory: 2049 grad_norm: 3.1312 loss: 4.6058 loss_cls: 3.0025 loss_bbox: 1.6033 2024/10/27 02:42:19 - mmengine - INFO - Epoch(train) [57][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:29:55 time: 0.2440 data_time: 0.0222 memory: 2049 grad_norm: 3.4819 loss: 4.7754 loss_cls: 3.0338 loss_bbox: 1.7417 2024/10/27 02:42:33 - mmengine - INFO - Epoch(train) [57][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:29:44 time: 0.2721 data_time: 0.0360 memory: 2049 grad_norm: 3.2112 loss: 4.6578 loss_cls: 3.0247 loss_bbox: 1.6331 2024/10/27 02:42:45 - mmengine - INFO - Epoch(train) [57][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:29:31 time: 0.2419 data_time: 0.0268 memory: 2049 grad_norm: 3.3493 loss: 4.6853 loss_cls: 3.0509 loss_bbox: 1.6343 2024/10/27 02:42:57 - mmengine - INFO - Epoch(train) [57][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:29:17 time: 0.2449 data_time: 0.0216 memory: 2049 grad_norm: 3.3536 loss: 4.5725 loss_cls: 2.9752 loss_bbox: 1.5973 2024/10/27 02:43:10 - mmengine - INFO - Epoch(train) [57][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:29:05 time: 0.2520 data_time: 0.0281 memory: 2049 grad_norm: 3.0356 loss: 4.6366 loss_cls: 2.9966 loss_bbox: 1.6400 2024/10/27 02:43:22 - mmengine - INFO - Epoch(train) [57][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:28:51 time: 0.2398 data_time: 0.0248 memory: 2049 grad_norm: 3.5211 loss: 4.7089 loss_cls: 3.0706 loss_bbox: 1.6383 2024/10/27 02:43:35 - mmengine - INFO - Epoch(train) [57][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:28:41 time: 0.2739 data_time: 0.0213 memory: 2049 grad_norm: 3.2865 loss: 4.6077 loss_cls: 2.9826 loss_bbox: 1.6250 2024/10/27 02:43:47 - mmengine - INFO - Epoch(train) [57][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:28:27 time: 0.2390 data_time: 0.0225 memory: 2049 grad_norm: 3.2087 loss: 4.5372 loss_cls: 2.9698 loss_bbox: 1.5673 2024/10/27 02:44:01 - mmengine - INFO - Epoch(train) [57][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:28:16 time: 0.2710 data_time: 0.0199 memory: 2049 grad_norm: 3.4602 loss: 4.6056 loss_cls: 3.0169 loss_bbox: 1.5887 2024/10/27 02:44:14 - mmengine - INFO - Epoch(train) [57][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:28:04 time: 0.2566 data_time: 0.0195 memory: 2049 grad_norm: 3.1412 loss: 4.5791 loss_cls: 2.9937 loss_bbox: 1.5853 2024/10/27 02:44:26 - mmengine - INFO - Epoch(train) [57][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:27:51 time: 0.2508 data_time: 0.0226 memory: 2049 grad_norm: 3.3613 loss: 4.6298 loss_cls: 2.9766 loss_bbox: 1.6532 2024/10/27 02:44:40 - mmengine - INFO - Epoch(train) [57][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:27:40 time: 0.2684 data_time: 0.0217 memory: 2049 grad_norm: 3.3259 loss: 4.6122 loss_cls: 3.0301 loss_bbox: 1.5821 2024/10/27 02:44:52 - mmengine - INFO - Epoch(train) [57][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:27:26 time: 0.2402 data_time: 0.0188 memory: 2049 grad_norm: 3.3726 loss: 4.6751 loss_cls: 3.0395 loss_bbox: 1.6356 2024/10/27 02:45:05 - mmengine - INFO - Epoch(train) [57][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:27:15 time: 0.2669 data_time: 0.0199 memory: 2049 grad_norm: 3.3243 loss: 4.5674 loss_cls: 2.9832 loss_bbox: 1.5843 2024/10/27 02:45:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:45:18 - mmengine - INFO - Epoch(train) [57][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:27:03 time: 0.2629 data_time: 0.0333 memory: 2049 grad_norm: 3.2405 loss: 4.6815 loss_cls: 3.0611 loss_bbox: 1.6203 2024/10/27 02:45:31 - mmengine - INFO - Epoch(train) [57][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:26:51 time: 0.2556 data_time: 0.0256 memory: 2049 grad_norm: 3.2514 loss: 4.5203 loss_cls: 2.9149 loss_bbox: 1.6054 2024/10/27 02:45:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:45:32 - mmengine - INFO - Saving checkpoint at 57 epochs 2024/10/27 02:45:47 - mmengine - INFO - Epoch(train) [58][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:26:38 time: 0.2589 data_time: 0.0321 memory: 2049 grad_norm: 3.2053 loss: 4.5493 loss_cls: 2.9717 loss_bbox: 1.5777 2024/10/27 02:45:58 - mmengine - INFO - Epoch(train) [58][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:26:24 time: 0.2356 data_time: 0.0264 memory: 2049 grad_norm: 3.4532 loss: 4.6923 loss_cls: 3.0002 loss_bbox: 1.6921 2024/10/27 02:46:11 - mmengine - INFO - Epoch(train) [58][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:26:12 time: 0.2542 data_time: 0.0282 memory: 2049 grad_norm: 3.4435 loss: 4.6609 loss_cls: 3.0519 loss_bbox: 1.6089 2024/10/27 02:46:24 - mmengine - INFO - Epoch(train) [58][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:25:59 time: 0.2488 data_time: 0.0280 memory: 2049 grad_norm: 3.0442 loss: 4.7029 loss_cls: 3.0349 loss_bbox: 1.6680 2024/10/27 02:46:36 - mmengine - INFO - Epoch(train) [58][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:25:45 time: 0.2435 data_time: 0.0293 memory: 2049 grad_norm: 3.4092 loss: 4.6836 loss_cls: 3.0715 loss_bbox: 1.6122 2024/10/27 02:46:48 - mmengine - INFO - Epoch(train) [58][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:25:33 time: 0.2534 data_time: 0.0313 memory: 2049 grad_norm: 3.3136 loss: 4.6581 loss_cls: 3.0189 loss_bbox: 1.6392 2024/10/27 02:47:01 - mmengine - INFO - Epoch(train) [58][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:25:20 time: 0.2422 data_time: 0.0324 memory: 2049 grad_norm: 3.2468 loss: 4.5285 loss_cls: 2.9612 loss_bbox: 1.5673 2024/10/27 02:47:14 - mmengine - INFO - Epoch(train) [58][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:25:08 time: 0.2639 data_time: 0.0275 memory: 2049 grad_norm: 3.2659 loss: 4.6341 loss_cls: 3.0190 loss_bbox: 1.6151 2024/10/27 02:47:26 - mmengine - INFO - Epoch(train) [58][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:24:55 time: 0.2485 data_time: 0.0277 memory: 2049 grad_norm: 3.0930 loss: 4.6243 loss_cls: 2.9881 loss_bbox: 1.6362 2024/10/27 02:47:39 - mmengine - INFO - Epoch(train) [58][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:24:43 time: 0.2521 data_time: 0.0331 memory: 2049 grad_norm: 3.3132 loss: 4.6279 loss_cls: 3.0077 loss_bbox: 1.6202 2024/10/27 02:47:52 - mmengine - INFO - Epoch(train) [58][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:24:30 time: 0.2533 data_time: 0.0272 memory: 2049 grad_norm: 3.5765 loss: 4.5804 loss_cls: 2.9711 loss_bbox: 1.6093 2024/10/27 02:48:04 - mmengine - INFO - Epoch(train) [58][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:24:18 time: 0.2512 data_time: 0.0333 memory: 2049 grad_norm: 3.3522 loss: 4.6615 loss_cls: 3.0252 loss_bbox: 1.6363 2024/10/27 02:48:18 - mmengine - INFO - Epoch(train) [58][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:24:08 time: 0.2849 data_time: 0.0476 memory: 2049 grad_norm: 3.2836 loss: 4.5844 loss_cls: 3.0108 loss_bbox: 1.5736 2024/10/27 02:48:30 - mmengine - INFO - Epoch(train) [58][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:23:54 time: 0.2415 data_time: 0.0265 memory: 2049 grad_norm: 3.3624 loss: 4.6083 loss_cls: 3.0269 loss_bbox: 1.5814 2024/10/27 02:48:43 - mmengine - INFO - Epoch(train) [58][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:23:41 time: 0.2475 data_time: 0.0269 memory: 2049 grad_norm: 3.2780 loss: 4.5096 loss_cls: 2.9224 loss_bbox: 1.5873 2024/10/27 02:48:56 - mmengine - INFO - Epoch(train) [58][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:23:29 time: 0.2538 data_time: 0.0272 memory: 2049 grad_norm: 3.2431 loss: 4.5455 loss_cls: 2.9763 loss_bbox: 1.5692 2024/10/27 02:49:08 - mmengine - INFO - Epoch(train) [58][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:23:16 time: 0.2393 data_time: 0.0271 memory: 2049 grad_norm: 3.3331 loss: 4.5888 loss_cls: 2.9706 loss_bbox: 1.6182 2024/10/27 02:49:21 - mmengine - INFO - Epoch(train) [58][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:23:04 time: 0.2654 data_time: 0.0279 memory: 2049 grad_norm: 3.1645 loss: 4.6032 loss_cls: 3.0125 loss_bbox: 1.5908 2024/10/27 02:49:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:49:33 - mmengine - INFO - Epoch(train) [58][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:22:51 time: 0.2474 data_time: 0.0384 memory: 2049 grad_norm: 3.6031 loss: 4.6650 loss_cls: 3.0727 loss_bbox: 1.5923 2024/10/27 02:49:46 - mmengine - INFO - Epoch(train) [58][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:22:39 time: 0.2572 data_time: 0.0290 memory: 2049 grad_norm: 3.4688 loss: 4.6197 loss_cls: 2.9944 loss_bbox: 1.6253 2024/10/27 02:49:58 - mmengine - INFO - Epoch(train) [58][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:22:26 time: 0.2420 data_time: 0.0286 memory: 2049 grad_norm: 3.3466 loss: 4.6465 loss_cls: 3.0108 loss_bbox: 1.6357 2024/10/27 02:50:11 - mmengine - INFO - Epoch(train) [58][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:22:13 time: 0.2533 data_time: 0.0356 memory: 2049 grad_norm: 3.3916 loss: 4.6562 loss_cls: 2.9824 loss_bbox: 1.6738 2024/10/27 02:50:25 - mmengine - INFO - Epoch(train) [58][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:22:03 time: 0.2795 data_time: 0.0265 memory: 2049 grad_norm: 3.1533 loss: 4.5945 loss_cls: 2.9853 loss_bbox: 1.6092 2024/10/27 02:50:38 - mmengine - INFO - Epoch(train) [58][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:21:51 time: 0.2554 data_time: 0.0353 memory: 2049 grad_norm: 3.5411 loss: 4.6274 loss_cls: 2.9946 loss_bbox: 1.6329 2024/10/27 02:50:51 - mmengine - INFO - Epoch(train) [58][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:21:39 time: 0.2680 data_time: 0.0297 memory: 2049 grad_norm: 3.2545 loss: 4.6779 loss_cls: 3.0348 loss_bbox: 1.6431 2024/10/27 02:51:04 - mmengine - INFO - Epoch(train) [58][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:21:27 time: 0.2563 data_time: 0.0292 memory: 2049 grad_norm: 3.4605 loss: 4.5885 loss_cls: 3.0347 loss_bbox: 1.5538 2024/10/27 02:51:19 - mmengine - INFO - Epoch(train) [58][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:21:19 time: 0.3054 data_time: 0.0669 memory: 2049 grad_norm: 3.3403 loss: 4.5034 loss_cls: 2.9056 loss_bbox: 1.5978 2024/10/27 02:51:32 - mmengine - INFO - Epoch(train) [58][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:21:07 time: 0.2598 data_time: 0.0276 memory: 2049 grad_norm: 3.3796 loss: 4.6456 loss_cls: 3.0553 loss_bbox: 1.5904 2024/10/27 02:51:46 - mmengine - INFO - Epoch(train) [58][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:20:55 time: 0.2676 data_time: 0.0272 memory: 2049 grad_norm: 3.0984 loss: 4.6696 loss_cls: 3.0039 loss_bbox: 1.6657 2024/10/27 02:52:00 - mmengine - INFO - Epoch(train) [58][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:20:45 time: 0.2805 data_time: 0.0271 memory: 2049 grad_norm: 3.3216 loss: 4.6280 loss_cls: 3.0186 loss_bbox: 1.6094 2024/10/27 02:52:12 - mmengine - INFO - Epoch(train) [58][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:20:33 time: 0.2563 data_time: 0.0289 memory: 2049 grad_norm: 3.3885 loss: 4.5138 loss_cls: 2.9499 loss_bbox: 1.5640 2024/10/27 02:52:26 - mmengine - INFO - Epoch(train) [58][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:20:22 time: 0.2660 data_time: 0.0266 memory: 2049 grad_norm: 3.3147 loss: 4.5398 loss_cls: 2.9728 loss_bbox: 1.5670 2024/10/27 02:52:39 - mmengine - INFO - Epoch(train) [58][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:20:10 time: 0.2704 data_time: 0.0261 memory: 2049 grad_norm: 3.0079 loss: 4.6490 loss_cls: 3.0501 loss_bbox: 1.5989 2024/10/27 02:52:52 - mmengine - INFO - Epoch(train) [58][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:19:58 time: 0.2588 data_time: 0.0262 memory: 2049 grad_norm: 3.6023 loss: 4.6159 loss_cls: 3.0377 loss_bbox: 1.5782 2024/10/27 02:53:06 - mmengine - INFO - Epoch(train) [58][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:19:48 time: 0.2788 data_time: 0.0262 memory: 2049 grad_norm: 3.3435 loss: 4.6749 loss_cls: 3.0442 loss_bbox: 1.6307 2024/10/27 02:53:19 - mmengine - INFO - Epoch(train) [58][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:19:36 time: 0.2589 data_time: 0.0273 memory: 2049 grad_norm: 3.4036 loss: 4.6348 loss_cls: 2.9711 loss_bbox: 1.6637 2024/10/27 02:53:33 - mmengine - INFO - Epoch(train) [58][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:19:25 time: 0.2698 data_time: 0.0285 memory: 2049 grad_norm: 3.3591 loss: 4.5173 loss_cls: 2.9853 loss_bbox: 1.5320 2024/10/27 02:53:46 - mmengine - INFO - Epoch(train) [58][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:19:13 time: 0.2661 data_time: 0.0263 memory: 2049 grad_norm: 3.3343 loss: 4.5615 loss_cls: 2.9949 loss_bbox: 1.5666 2024/10/27 02:53:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:53:59 - mmengine - INFO - Epoch(train) [58][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:19:01 time: 0.2570 data_time: 0.0343 memory: 2049 grad_norm: 3.4592 loss: 4.6015 loss_cls: 2.9774 loss_bbox: 1.6241 2024/10/27 02:54:13 - mmengine - INFO - Epoch(train) [58][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:18:51 time: 0.2772 data_time: 0.0292 memory: 2049 grad_norm: 3.1908 loss: 4.6445 loss_cls: 3.0166 loss_bbox: 1.6279 2024/10/27 02:54:26 - mmengine - INFO - Epoch(train) [58][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:18:39 time: 0.2595 data_time: 0.0268 memory: 2049 grad_norm: 3.3232 loss: 4.5976 loss_cls: 2.9864 loss_bbox: 1.6112 2024/10/27 02:54:40 - mmengine - INFO - Epoch(train) [58][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:18:28 time: 0.2779 data_time: 0.0341 memory: 2049 grad_norm: 3.4937 loss: 4.5338 loss_cls: 2.9623 loss_bbox: 1.5715 2024/10/27 02:54:52 - mmengine - INFO - Epoch(train) [58][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:18:15 time: 0.2509 data_time: 0.0287 memory: 2049 grad_norm: 3.3034 loss: 4.6143 loss_cls: 2.9759 loss_bbox: 1.6385 2024/10/27 02:55:05 - mmengine - INFO - Epoch(train) [58][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:18:04 time: 0.2655 data_time: 0.0342 memory: 2049 grad_norm: 3.2575 loss: 4.5935 loss_cls: 2.9664 loss_bbox: 1.6272 2024/10/27 02:55:19 - mmengine - INFO - Epoch(train) [58][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:17:53 time: 0.2800 data_time: 0.0339 memory: 2049 grad_norm: 3.3070 loss: 4.6848 loss_cls: 3.0242 loss_bbox: 1.6606 2024/10/27 02:55:32 - mmengine - INFO - Epoch(train) [58][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:17:42 time: 0.2605 data_time: 0.0340 memory: 2049 grad_norm: 3.4525 loss: 4.6003 loss_cls: 2.9872 loss_bbox: 1.6131 2024/10/27 02:55:46 - mmengine - INFO - Epoch(train) [58][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:17:31 time: 0.2768 data_time: 0.0324 memory: 2049 grad_norm: 3.1526 loss: 4.5956 loss_cls: 3.0065 loss_bbox: 1.5890 2024/10/27 02:55:59 - mmengine - INFO - Epoch(train) [58][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:17:19 time: 0.2560 data_time: 0.0264 memory: 2049 grad_norm: 3.2389 loss: 4.6137 loss_cls: 3.0519 loss_bbox: 1.5617 2024/10/27 02:56:12 - mmengine - INFO - Epoch(train) [58][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:17:06 time: 0.2543 data_time: 0.0292 memory: 2049 grad_norm: 3.2926 loss: 4.6444 loss_cls: 3.0275 loss_bbox: 1.6169 2024/10/27 02:56:25 - mmengine - INFO - Epoch(train) [58][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:16:55 time: 0.2686 data_time: 0.0261 memory: 2049 grad_norm: 3.4442 loss: 4.6546 loss_cls: 3.0361 loss_bbox: 1.6185 2024/10/27 02:56:38 - mmengine - INFO - Epoch(train) [58][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:16:43 time: 0.2587 data_time: 0.0342 memory: 2049 grad_norm: 3.2687 loss: 4.5909 loss_cls: 2.9540 loss_bbox: 1.6369 2024/10/27 02:56:52 - mmengine - INFO - Epoch(train) [58][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:16:32 time: 0.2742 data_time: 0.0257 memory: 2049 grad_norm: 3.1886 loss: 4.5906 loss_cls: 2.9806 loss_bbox: 1.6100 2024/10/27 02:57:05 - mmengine - INFO - Epoch(train) [58][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:16:20 time: 0.2551 data_time: 0.0287 memory: 2049 grad_norm: 3.2684 loss: 4.5356 loss_cls: 2.9374 loss_bbox: 1.5981 2024/10/27 02:57:18 - mmengine - INFO - Epoch(train) [58][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:16:08 time: 0.2616 data_time: 0.0483 memory: 2049 grad_norm: 3.7651 loss: 4.6041 loss_cls: 3.0019 loss_bbox: 1.6022 2024/10/27 02:57:31 - mmengine - INFO - Epoch(train) [58][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:15:56 time: 0.2614 data_time: 0.0278 memory: 2049 grad_norm: 3.1510 loss: 4.6028 loss_cls: 2.9648 loss_bbox: 1.6380 2024/10/27 02:57:44 - mmengine - INFO - Epoch(train) [58][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:15:44 time: 0.2521 data_time: 0.0259 memory: 2049 grad_norm: 3.4553 loss: 4.7218 loss_cls: 3.0630 loss_bbox: 1.6588 2024/10/27 02:57:56 - mmengine - INFO - Epoch(train) [58][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:15:31 time: 0.2483 data_time: 0.0256 memory: 2049 grad_norm: 3.1533 loss: 4.5923 loss_cls: 2.9867 loss_bbox: 1.6056 2024/10/27 02:58:09 - mmengine - INFO - Epoch(train) [58][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:15:18 time: 0.2504 data_time: 0.0260 memory: 2049 grad_norm: 3.2356 loss: 4.5488 loss_cls: 2.9668 loss_bbox: 1.5820 2024/10/27 02:58:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:58:21 - mmengine - INFO - Epoch(train) [58][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:15:05 time: 0.2525 data_time: 0.0297 memory: 2049 grad_norm: 3.2441 loss: 4.6680 loss_cls: 3.0256 loss_bbox: 1.6424 2024/10/27 02:58:35 - mmengine - INFO - Epoch(train) [58][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:14:54 time: 0.2681 data_time: 0.0292 memory: 2049 grad_norm: 3.4712 loss: 4.7275 loss_cls: 3.0470 loss_bbox: 1.6805 2024/10/27 02:58:48 - mmengine - INFO - Epoch(train) [58][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:14:43 time: 0.2723 data_time: 0.0436 memory: 2049 grad_norm: 3.2820 loss: 4.6406 loss_cls: 3.0434 loss_bbox: 1.5973 2024/10/27 02:58:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 02:58:49 - mmengine - INFO - Saving checkpoint at 58 epochs 2024/10/27 02:59:05 - mmengine - INFO - Epoch(train) [59][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:14:30 time: 0.2598 data_time: 0.0365 memory: 2049 grad_norm: 3.2521 loss: 4.7244 loss_cls: 3.0615 loss_bbox: 1.6629 2024/10/27 02:59:17 - mmengine - INFO - Epoch(train) [59][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:14:17 time: 0.2427 data_time: 0.0354 memory: 2049 grad_norm: 3.2312 loss: 4.5762 loss_cls: 2.9738 loss_bbox: 1.6024 2024/10/27 02:59:30 - mmengine - INFO - Epoch(train) [59][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:14:04 time: 0.2529 data_time: 0.0304 memory: 2049 grad_norm: 3.3189 loss: 4.7413 loss_cls: 3.0719 loss_bbox: 1.6695 2024/10/27 02:59:41 - mmengine - INFO - Epoch(train) [59][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:13:50 time: 0.2358 data_time: 0.0256 memory: 2049 grad_norm: 3.1573 loss: 4.5832 loss_cls: 2.9280 loss_bbox: 1.6552 2024/10/27 02:59:53 - mmengine - INFO - Epoch(train) [59][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:13:37 time: 0.2395 data_time: 0.0330 memory: 2049 grad_norm: 3.1594 loss: 4.6182 loss_cls: 3.0251 loss_bbox: 1.5932 2024/10/27 03:00:06 - mmengine - INFO - Epoch(train) [59][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:13:24 time: 0.2465 data_time: 0.0255 memory: 2049 grad_norm: 3.1938 loss: 4.5878 loss_cls: 2.9842 loss_bbox: 1.6037 2024/10/27 03:00:18 - mmengine - INFO - Epoch(train) [59][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:13:10 time: 0.2413 data_time: 0.0278 memory: 2049 grad_norm: 3.2354 loss: 4.6202 loss_cls: 3.0136 loss_bbox: 1.6066 2024/10/27 03:00:31 - mmengine - INFO - Epoch(train) [59][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:12:58 time: 0.2566 data_time: 0.0255 memory: 2049 grad_norm: 3.2479 loss: 4.6769 loss_cls: 3.0290 loss_bbox: 1.6479 2024/10/27 03:00:42 - mmengine - INFO - Epoch(train) [59][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:12:44 time: 0.2334 data_time: 0.0270 memory: 2049 grad_norm: 3.4481 loss: 4.5962 loss_cls: 2.9638 loss_bbox: 1.6324 2024/10/27 03:00:54 - mmengine - INFO - Epoch(train) [59][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:12:30 time: 0.2382 data_time: 0.0259 memory: 2049 grad_norm: 3.2997 loss: 4.6382 loss_cls: 3.0024 loss_bbox: 1.6358 2024/10/27 03:01:06 - mmengine - INFO - Epoch(train) [59][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:12:17 time: 0.2369 data_time: 0.0263 memory: 2049 grad_norm: 3.3470 loss: 4.5825 loss_cls: 3.0037 loss_bbox: 1.5788 2024/10/27 03:01:18 - mmengine - INFO - Epoch(train) [59][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:12:03 time: 0.2369 data_time: 0.0235 memory: 2049 grad_norm: 3.2134 loss: 4.7186 loss_cls: 3.1044 loss_bbox: 1.6142 2024/10/27 03:01:30 - mmengine - INFO - Epoch(train) [59][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:11:50 time: 0.2440 data_time: 0.0242 memory: 2049 grad_norm: 3.3117 loss: 4.5240 loss_cls: 2.9658 loss_bbox: 1.5582 2024/10/27 03:01:42 - mmengine - INFO - Epoch(train) [59][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:11:36 time: 0.2330 data_time: 0.0281 memory: 2049 grad_norm: 3.4835 loss: 4.5485 loss_cls: 2.9458 loss_bbox: 1.6028 2024/10/27 03:01:53 - mmengine - INFO - Epoch(train) [59][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:11:22 time: 0.2311 data_time: 0.0272 memory: 2049 grad_norm: 3.3803 loss: 4.5616 loss_cls: 2.9719 loss_bbox: 1.5897 2024/10/27 03:02:06 - mmengine - INFO - Epoch(train) [59][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:11:08 time: 0.2414 data_time: 0.0218 memory: 2049 grad_norm: 3.3570 loss: 4.5125 loss_cls: 2.9351 loss_bbox: 1.5774 2024/10/27 03:02:18 - mmengine - INFO - Epoch(train) [59][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:10:55 time: 0.2394 data_time: 0.0209 memory: 2049 grad_norm: 3.2890 loss: 4.6193 loss_cls: 2.9858 loss_bbox: 1.6334 2024/10/27 03:02:22 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:02:29 - mmengine - INFO - Epoch(train) [59][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:10:41 time: 0.2349 data_time: 0.0219 memory: 2049 grad_norm: 3.0898 loss: 4.6176 loss_cls: 2.9819 loss_bbox: 1.6357 2024/10/27 03:02:41 - mmengine - INFO - Epoch(train) [59][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:10:27 time: 0.2377 data_time: 0.0234 memory: 2049 grad_norm: 3.4306 loss: 4.6313 loss_cls: 3.0343 loss_bbox: 1.5970 2024/10/27 03:02:53 - mmengine - INFO - Epoch(train) [59][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:10:13 time: 0.2298 data_time: 0.0211 memory: 2049 grad_norm: 3.4935 loss: 4.5006 loss_cls: 2.9434 loss_bbox: 1.5571 2024/10/27 03:03:05 - mmengine - INFO - Epoch(train) [59][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:10:00 time: 0.2446 data_time: 0.0220 memory: 2049 grad_norm: 3.6460 loss: 4.6595 loss_cls: 3.0258 loss_bbox: 1.6337 2024/10/27 03:03:17 - mmengine - INFO - Epoch(train) [59][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:09:47 time: 0.2510 data_time: 0.0365 memory: 2049 grad_norm: 3.0756 loss: 4.5764 loss_cls: 2.9765 loss_bbox: 1.5998 2024/10/27 03:03:29 - mmengine - INFO - Epoch(train) [59][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:09:33 time: 0.2315 data_time: 0.0216 memory: 2049 grad_norm: 3.3725 loss: 4.6534 loss_cls: 3.0536 loss_bbox: 1.5999 2024/10/27 03:03:40 - mmengine - INFO - Epoch(train) [59][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:09:18 time: 0.2262 data_time: 0.0226 memory: 2049 grad_norm: 3.2682 loss: 4.6611 loss_cls: 3.0569 loss_bbox: 1.6043 2024/10/27 03:03:53 - mmengine - INFO - Epoch(train) [59][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:09:05 time: 0.2458 data_time: 0.0230 memory: 2049 grad_norm: 3.2991 loss: 4.6820 loss_cls: 3.0515 loss_bbox: 1.6305 2024/10/27 03:04:05 - mmengine - INFO - Epoch(train) [59][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:08:52 time: 0.2377 data_time: 0.0210 memory: 2049 grad_norm: 3.3368 loss: 4.5963 loss_cls: 3.0087 loss_bbox: 1.5877 2024/10/27 03:04:17 - mmengine - INFO - Epoch(train) [59][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:08:38 time: 0.2395 data_time: 0.0250 memory: 2049 grad_norm: 3.4119 loss: 4.6927 loss_cls: 3.0437 loss_bbox: 1.6489 2024/10/27 03:04:28 - mmengine - INFO - Epoch(train) [59][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:08:24 time: 0.2287 data_time: 0.0226 memory: 2049 grad_norm: 3.2783 loss: 4.7063 loss_cls: 3.0710 loss_bbox: 1.6353 2024/10/27 03:04:40 - mmengine - INFO - Epoch(train) [59][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:08:10 time: 0.2343 data_time: 0.0217 memory: 2049 grad_norm: 3.4418 loss: 4.5440 loss_cls: 2.9553 loss_bbox: 1.5887 2024/10/27 03:04:52 - mmengine - INFO - Epoch(train) [59][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:07:57 time: 0.2448 data_time: 0.0243 memory: 2049 grad_norm: 3.0424 loss: 4.6589 loss_cls: 3.0345 loss_bbox: 1.6244 2024/10/27 03:05:04 - mmengine - INFO - Epoch(train) [59][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:07:43 time: 0.2337 data_time: 0.0247 memory: 2049 grad_norm: 3.2571 loss: 4.7357 loss_cls: 3.1068 loss_bbox: 1.6289 2024/10/27 03:05:17 - mmengine - INFO - Epoch(train) [59][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:07:31 time: 0.2660 data_time: 0.0562 memory: 2049 grad_norm: 3.2221 loss: 4.6439 loss_cls: 3.0365 loss_bbox: 1.6074 2024/10/27 03:05:29 - mmengine - INFO - Epoch(train) [59][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:07:18 time: 0.2420 data_time: 0.0231 memory: 2049 grad_norm: 3.1837 loss: 4.6187 loss_cls: 3.0095 loss_bbox: 1.6092 2024/10/27 03:05:41 - mmengine - INFO - Epoch(train) [59][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:07:04 time: 0.2355 data_time: 0.0210 memory: 2049 grad_norm: 3.2770 loss: 4.7045 loss_cls: 3.0501 loss_bbox: 1.6544 2024/10/27 03:05:53 - mmengine - INFO - Epoch(train) [59][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:06:51 time: 0.2382 data_time: 0.0213 memory: 2049 grad_norm: 3.1543 loss: 4.6257 loss_cls: 2.9986 loss_bbox: 1.6270 2024/10/27 03:06:04 - mmengine - INFO - Epoch(train) [59][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:06:37 time: 0.2317 data_time: 0.0211 memory: 2049 grad_norm: 3.1528 loss: 4.6138 loss_cls: 3.0081 loss_bbox: 1.6057 2024/10/27 03:06:17 - mmengine - INFO - Epoch(train) [59][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:06:24 time: 0.2490 data_time: 0.0405 memory: 2049 grad_norm: 3.4130 loss: 4.7297 loss_cls: 3.0741 loss_bbox: 1.6556 2024/10/27 03:06:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:06:29 - mmengine - INFO - Epoch(train) [59][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:06:11 time: 0.2511 data_time: 0.0214 memory: 2049 grad_norm: 3.2949 loss: 4.5910 loss_cls: 3.0084 loss_bbox: 1.5826 2024/10/27 03:06:41 - mmengine - INFO - Epoch(train) [59][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:05:57 time: 0.2321 data_time: 0.0221 memory: 2049 grad_norm: 3.2250 loss: 4.6105 loss_cls: 3.0415 loss_bbox: 1.5690 2024/10/27 03:06:52 - mmengine - INFO - Epoch(train) [59][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:05:42 time: 0.2197 data_time: 0.0215 memory: 2049 grad_norm: 3.1147 loss: 4.6081 loss_cls: 3.0247 loss_bbox: 1.5833 2024/10/27 03:07:03 - mmengine - INFO - Epoch(train) [59][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:05:28 time: 0.2300 data_time: 0.0224 memory: 2049 grad_norm: 3.2070 loss: 4.6313 loss_cls: 3.0169 loss_bbox: 1.6144 2024/10/27 03:07:17 - mmengine - INFO - Epoch(train) [59][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:05:17 time: 0.2685 data_time: 0.0549 memory: 2049 grad_norm: 3.3216 loss: 4.6582 loss_cls: 3.0511 loss_bbox: 1.6070 2024/10/27 03:07:29 - mmengine - INFO - Epoch(train) [59][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:05:03 time: 0.2412 data_time: 0.0224 memory: 2049 grad_norm: 3.0643 loss: 4.5377 loss_cls: 2.9685 loss_bbox: 1.5693 2024/10/27 03:07:41 - mmengine - INFO - Epoch(train) [59][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:04:50 time: 0.2468 data_time: 0.0199 memory: 2049 grad_norm: 3.3320 loss: 4.6322 loss_cls: 3.0068 loss_bbox: 1.6254 2024/10/27 03:07:53 - mmengine - INFO - Epoch(train) [59][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:04:37 time: 0.2361 data_time: 0.0214 memory: 2049 grad_norm: 3.4009 loss: 4.6083 loss_cls: 2.9907 loss_bbox: 1.6175 2024/10/27 03:08:05 - mmengine - INFO - Epoch(train) [59][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:04:23 time: 0.2410 data_time: 0.0209 memory: 2049 grad_norm: 3.3485 loss: 4.6061 loss_cls: 3.0041 loss_bbox: 1.6020 2024/10/27 03:08:17 - mmengine - INFO - Epoch(train) [59][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:04:10 time: 0.2430 data_time: 0.0208 memory: 2049 grad_norm: 3.4070 loss: 4.7219 loss_cls: 3.0513 loss_bbox: 1.6706 2024/10/27 03:08:29 - mmengine - INFO - Epoch(train) [59][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:03:56 time: 0.2343 data_time: 0.0214 memory: 2049 grad_norm: 3.3017 loss: 4.6191 loss_cls: 3.0296 loss_bbox: 1.5895 2024/10/27 03:08:41 - mmengine - INFO - Epoch(train) [59][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:03:43 time: 0.2468 data_time: 0.0223 memory: 2049 grad_norm: 3.2535 loss: 4.5946 loss_cls: 2.9843 loss_bbox: 1.6103 2024/10/27 03:08:53 - mmengine - INFO - Epoch(train) [59][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:03:30 time: 0.2393 data_time: 0.0214 memory: 2049 grad_norm: 3.4127 loss: 4.5697 loss_cls: 2.9721 loss_bbox: 1.5976 2024/10/27 03:09:06 - mmengine - INFO - Epoch(train) [59][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:03:17 time: 0.2513 data_time: 0.0278 memory: 2049 grad_norm: 3.1429 loss: 4.6794 loss_cls: 3.0270 loss_bbox: 1.6525 2024/10/27 03:09:18 - mmengine - INFO - Epoch(train) [59][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:03:04 time: 0.2411 data_time: 0.0263 memory: 2049 grad_norm: 3.1322 loss: 4.5118 loss_cls: 2.9874 loss_bbox: 1.5244 2024/10/27 03:09:30 - mmengine - INFO - Epoch(train) [59][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:02:50 time: 0.2356 data_time: 0.0211 memory: 2049 grad_norm: 3.4108 loss: 4.6219 loss_cls: 2.9980 loss_bbox: 1.6238 2024/10/27 03:09:42 - mmengine - INFO - Epoch(train) [59][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:02:37 time: 0.2426 data_time: 0.0226 memory: 2049 grad_norm: 3.3241 loss: 4.5908 loss_cls: 2.9711 loss_bbox: 1.6196 2024/10/27 03:09:54 - mmengine - INFO - Epoch(train) [59][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:02:24 time: 0.2455 data_time: 0.0225 memory: 2049 grad_norm: 3.4711 loss: 4.6051 loss_cls: 3.0184 loss_bbox: 1.5867 2024/10/27 03:10:07 - mmengine - INFO - Epoch(train) [59][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:02:11 time: 0.2467 data_time: 0.0250 memory: 2049 grad_norm: 3.2340 loss: 4.6025 loss_cls: 2.9803 loss_bbox: 1.6222 2024/10/27 03:10:19 - mmengine - INFO - Epoch(train) [59][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:01:58 time: 0.2436 data_time: 0.0343 memory: 2049 grad_norm: 3.1851 loss: 4.6584 loss_cls: 3.0044 loss_bbox: 1.6540 2024/10/27 03:10:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:10:31 - mmengine - INFO - Epoch(train) [59][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:01:44 time: 0.2423 data_time: 0.0283 memory: 2049 grad_norm: 3.2803 loss: 4.7444 loss_cls: 3.0976 loss_bbox: 1.6467 2024/10/27 03:10:44 - mmengine - INFO - Epoch(train) [59][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:01:32 time: 0.2543 data_time: 0.0295 memory: 2049 grad_norm: 3.0973 loss: 4.6361 loss_cls: 3.0509 loss_bbox: 1.5852 2024/10/27 03:10:56 - mmengine - INFO - Epoch(train) [59][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:01:19 time: 0.2437 data_time: 0.0220 memory: 2049 grad_norm: 3.5931 loss: 4.7200 loss_cls: 3.0697 loss_bbox: 1.6502 2024/10/27 03:11:08 - mmengine - INFO - Epoch(train) [59][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:01:06 time: 0.2442 data_time: 0.0216 memory: 2049 grad_norm: 3.2231 loss: 4.6732 loss_cls: 3.0397 loss_bbox: 1.6335 2024/10/27 03:11:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:11:09 - mmengine - INFO - Saving checkpoint at 59 epochs 2024/10/27 03:11:24 - mmengine - INFO - Epoch(train) [60][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:00:52 time: 0.2435 data_time: 0.0347 memory: 2049 grad_norm: 3.4870 loss: 4.5633 loss_cls: 2.9451 loss_bbox: 1.6182 2024/10/27 03:11:36 - mmengine - INFO - Epoch(train) [60][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:00:38 time: 0.2280 data_time: 0.0246 memory: 2049 grad_norm: 3.1835 loss: 4.6695 loss_cls: 3.0536 loss_bbox: 1.6159 2024/10/27 03:11:48 - mmengine - INFO - Epoch(train) [60][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:00:25 time: 0.2519 data_time: 0.0304 memory: 2049 grad_norm: 3.3166 loss: 4.5934 loss_cls: 2.9817 loss_bbox: 1.6117 2024/10/27 03:12:00 - mmengine - INFO - Epoch(train) [60][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 13:00:11 time: 0.2322 data_time: 0.0256 memory: 2049 grad_norm: 3.3341 loss: 4.5941 loss_cls: 3.0178 loss_bbox: 1.5763 2024/10/27 03:12:12 - mmengine - INFO - Epoch(train) [60][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:59:58 time: 0.2425 data_time: 0.0244 memory: 2049 grad_norm: 3.3625 loss: 4.6755 loss_cls: 3.0172 loss_bbox: 1.6583 2024/10/27 03:12:24 - mmengine - INFO - Epoch(train) [60][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:59:44 time: 0.2360 data_time: 0.0259 memory: 2049 grad_norm: 3.2950 loss: 4.6299 loss_cls: 3.0180 loss_bbox: 1.6119 2024/10/27 03:12:36 - mmengine - INFO - Epoch(train) [60][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:59:31 time: 0.2378 data_time: 0.0273 memory: 2049 grad_norm: 3.2339 loss: 4.6766 loss_cls: 2.9978 loss_bbox: 1.6789 2024/10/27 03:12:48 - mmengine - INFO - Epoch(train) [60][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:59:17 time: 0.2341 data_time: 0.0266 memory: 2049 grad_norm: 3.0451 loss: 4.6151 loss_cls: 2.9795 loss_bbox: 1.6355 2024/10/27 03:12:59 - mmengine - INFO - Epoch(train) [60][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:59:02 time: 0.2277 data_time: 0.0257 memory: 2049 grad_norm: 3.5021 loss: 4.6141 loss_cls: 3.0043 loss_bbox: 1.6098 2024/10/27 03:13:11 - mmengine - INFO - Epoch(train) [60][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:58:49 time: 0.2361 data_time: 0.0262 memory: 2049 grad_norm: 3.3144 loss: 4.5423 loss_cls: 2.9451 loss_bbox: 1.5973 2024/10/27 03:13:22 - mmengine - INFO - Epoch(train) [60][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:58:35 time: 0.2350 data_time: 0.0285 memory: 2049 grad_norm: 3.4884 loss: 4.5730 loss_cls: 3.0020 loss_bbox: 1.5710 2024/10/27 03:13:35 - mmengine - INFO - Epoch(train) [60][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:58:22 time: 0.2454 data_time: 0.0249 memory: 2049 grad_norm: 3.2671 loss: 4.5320 loss_cls: 2.9516 loss_bbox: 1.5804 2024/10/27 03:13:47 - mmengine - INFO - Epoch(train) [60][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:58:08 time: 0.2389 data_time: 0.0238 memory: 2049 grad_norm: 3.3393 loss: 4.5873 loss_cls: 2.9459 loss_bbox: 1.6414 2024/10/27 03:13:58 - mmengine - INFO - Epoch(train) [60][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:57:54 time: 0.2265 data_time: 0.0249 memory: 2049 grad_norm: 3.2847 loss: 4.6119 loss_cls: 2.9931 loss_bbox: 1.6188 2024/10/27 03:14:10 - mmengine - INFO - Epoch(train) [60][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:57:40 time: 0.2339 data_time: 0.0244 memory: 2049 grad_norm: 3.2820 loss: 4.5648 loss_cls: 2.9613 loss_bbox: 1.6035 2024/10/27 03:14:21 - mmengine - INFO - Epoch(train) [60][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:57:26 time: 0.2298 data_time: 0.0249 memory: 2049 grad_norm: 3.6558 loss: 4.7074 loss_cls: 3.0119 loss_bbox: 1.6955 2024/10/27 03:14:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:14:33 - mmengine - INFO - Epoch(train) [60][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:57:12 time: 0.2382 data_time: 0.0244 memory: 2049 grad_norm: 3.2886 loss: 4.6218 loss_cls: 3.0140 loss_bbox: 1.6077 2024/10/27 03:14:45 - mmengine - INFO - Epoch(train) [60][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:56:59 time: 0.2387 data_time: 0.0245 memory: 2049 grad_norm: 3.4249 loss: 4.5493 loss_cls: 2.9654 loss_bbox: 1.5839 2024/10/27 03:14:56 - mmengine - INFO - Epoch(train) [60][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:56:44 time: 0.2261 data_time: 0.0260 memory: 2049 grad_norm: 3.1277 loss: 4.6921 loss_cls: 3.0459 loss_bbox: 1.6462 2024/10/27 03:15:08 - mmengine - INFO - Epoch(train) [60][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:56:31 time: 0.2412 data_time: 0.0259 memory: 2049 grad_norm: 3.5629 loss: 4.6911 loss_cls: 3.0326 loss_bbox: 1.6585 2024/10/27 03:15:20 - mmengine - INFO - Epoch(train) [60][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:56:18 time: 0.2383 data_time: 0.0249 memory: 2049 grad_norm: 3.1816 loss: 4.5862 loss_cls: 2.9713 loss_bbox: 1.6149 2024/10/27 03:15:32 - mmengine - INFO - Epoch(train) [60][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:56:03 time: 0.2284 data_time: 0.0248 memory: 2049 grad_norm: 3.2009 loss: 4.6588 loss_cls: 3.0494 loss_bbox: 1.6094 2024/10/27 03:15:44 - mmengine - INFO - Epoch(train) [60][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:55:50 time: 0.2450 data_time: 0.0296 memory: 2049 grad_norm: 3.4883 loss: 4.5867 loss_cls: 2.9801 loss_bbox: 1.6066 2024/10/27 03:15:55 - mmengine - INFO - Epoch(train) [60][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:55:36 time: 0.2271 data_time: 0.0244 memory: 2049 grad_norm: 3.2702 loss: 4.5960 loss_cls: 2.9861 loss_bbox: 1.6099 2024/10/27 03:16:07 - mmengine - INFO - Epoch(train) [60][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:55:22 time: 0.2347 data_time: 0.0247 memory: 2049 grad_norm: 3.2181 loss: 4.6645 loss_cls: 3.0307 loss_bbox: 1.6338 2024/10/27 03:16:19 - mmengine - INFO - Epoch(train) [60][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:55:09 time: 0.2461 data_time: 0.0234 memory: 2049 grad_norm: 3.4334 loss: 4.6998 loss_cls: 3.0461 loss_bbox: 1.6537 2024/10/27 03:16:31 - mmengine - INFO - Epoch(train) [60][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:54:55 time: 0.2300 data_time: 0.0220 memory: 2049 grad_norm: 3.4676 loss: 4.6654 loss_cls: 3.0258 loss_bbox: 1.6396 2024/10/27 03:16:44 - mmengine - INFO - Epoch(train) [60][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:54:42 time: 0.2508 data_time: 0.0236 memory: 2049 grad_norm: 3.3765 loss: 4.5536 loss_cls: 2.9669 loss_bbox: 1.5866 2024/10/27 03:16:55 - mmengine - INFO - Epoch(train) [60][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:54:29 time: 0.2367 data_time: 0.0225 memory: 2049 grad_norm: 3.5213 loss: 4.6384 loss_cls: 3.0236 loss_bbox: 1.6148 2024/10/27 03:17:08 - mmengine - INFO - Epoch(train) [60][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:54:16 time: 0.2498 data_time: 0.0219 memory: 2049 grad_norm: 3.6234 loss: 4.5871 loss_cls: 2.9557 loss_bbox: 1.6313 2024/10/27 03:17:20 - mmengine - INFO - Epoch(train) [60][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:54:03 time: 0.2466 data_time: 0.0236 memory: 2049 grad_norm: 3.3640 loss: 4.5887 loss_cls: 3.0014 loss_bbox: 1.5873 2024/10/27 03:17:33 - mmengine - INFO - Epoch(train) [60][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:53:51 time: 0.2531 data_time: 0.0240 memory: 2049 grad_norm: 3.3585 loss: 4.6453 loss_cls: 3.0736 loss_bbox: 1.5717 2024/10/27 03:17:45 - mmengine - INFO - Epoch(train) [60][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:53:38 time: 0.2462 data_time: 0.0274 memory: 2049 grad_norm: 3.3035 loss: 4.7304 loss_cls: 3.0591 loss_bbox: 1.6713 2024/10/27 03:17:57 - mmengine - INFO - Epoch(train) [60][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:53:24 time: 0.2407 data_time: 0.0247 memory: 2049 grad_norm: 3.2615 loss: 4.5683 loss_cls: 2.9748 loss_bbox: 1.5935 2024/10/27 03:18:10 - mmengine - INFO - Epoch(train) [60][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:53:12 time: 0.2576 data_time: 0.0319 memory: 2049 grad_norm: 3.4157 loss: 4.5955 loss_cls: 3.0186 loss_bbox: 1.5768 2024/10/27 03:18:23 - mmengine - INFO - Epoch(train) [60][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:53:00 time: 0.2493 data_time: 0.0226 memory: 2049 grad_norm: 3.2140 loss: 4.5932 loss_cls: 2.9878 loss_bbox: 1.6054 2024/10/27 03:18:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:18:36 - mmengine - INFO - Epoch(train) [60][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:52:48 time: 0.2590 data_time: 0.0271 memory: 2049 grad_norm: 3.1949 loss: 4.5576 loss_cls: 2.9817 loss_bbox: 1.5758 2024/10/27 03:18:49 - mmengine - INFO - Epoch(train) [60][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:52:36 time: 0.2598 data_time: 0.0237 memory: 2049 grad_norm: 3.0194 loss: 4.5822 loss_cls: 3.0166 loss_bbox: 1.5656 2024/10/27 03:19:01 - mmengine - INFO - Epoch(train) [60][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:52:22 time: 0.2408 data_time: 0.0225 memory: 2049 grad_norm: 3.5115 loss: 4.5845 loss_cls: 3.0167 loss_bbox: 1.5678 2024/10/27 03:19:14 - mmengine - INFO - Epoch(train) [60][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:52:11 time: 0.2645 data_time: 0.0316 memory: 2049 grad_norm: 3.3624 loss: 4.6658 loss_cls: 3.0119 loss_bbox: 1.6539 2024/10/27 03:19:27 - mmengine - INFO - Epoch(train) [60][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:51:59 time: 0.2640 data_time: 0.0290 memory: 2049 grad_norm: 3.5353 loss: 4.6754 loss_cls: 3.0140 loss_bbox: 1.6614 2024/10/27 03:19:40 - mmengine - INFO - Epoch(train) [60][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:51:47 time: 0.2557 data_time: 0.0218 memory: 2049 grad_norm: 3.4547 loss: 4.6934 loss_cls: 3.0397 loss_bbox: 1.6537 2024/10/27 03:19:53 - mmengine - INFO - Epoch(train) [60][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:51:35 time: 0.2609 data_time: 0.0267 memory: 2049 grad_norm: 3.2153 loss: 4.5314 loss_cls: 2.9726 loss_bbox: 1.5588 2024/10/27 03:20:06 - mmengine - INFO - Epoch(train) [60][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:51:23 time: 0.2672 data_time: 0.0246 memory: 2049 grad_norm: 3.3135 loss: 4.6736 loss_cls: 3.0273 loss_bbox: 1.6462 2024/10/27 03:20:19 - mmengine - INFO - Epoch(train) [60][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:51:11 time: 0.2559 data_time: 0.0259 memory: 2049 grad_norm: 3.2257 loss: 4.6438 loss_cls: 3.0375 loss_bbox: 1.6063 2024/10/27 03:20:32 - mmengine - INFO - Epoch(train) [60][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:50:59 time: 0.2579 data_time: 0.0224 memory: 2049 grad_norm: 3.3727 loss: 4.6851 loss_cls: 3.0481 loss_bbox: 1.6370 2024/10/27 03:20:45 - mmengine - INFO - Epoch(train) [60][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:50:47 time: 0.2652 data_time: 0.0265 memory: 2049 grad_norm: 3.2180 loss: 4.6352 loss_cls: 3.0092 loss_bbox: 1.6260 2024/10/27 03:20:58 - mmengine - INFO - Epoch(train) [60][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:50:36 time: 0.2645 data_time: 0.0221 memory: 2049 grad_norm: 3.3275 loss: 4.5178 loss_cls: 2.9636 loss_bbox: 1.5542 2024/10/27 03:21:11 - mmengine - INFO - Epoch(train) [60][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:50:24 time: 0.2577 data_time: 0.0250 memory: 2049 grad_norm: 3.4839 loss: 4.6213 loss_cls: 3.0237 loss_bbox: 1.5976 2024/10/27 03:21:24 - mmengine - INFO - Epoch(train) [60][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:50:12 time: 0.2589 data_time: 0.0342 memory: 2049 grad_norm: 3.3430 loss: 4.6471 loss_cls: 3.0036 loss_bbox: 1.6436 2024/10/27 03:21:37 - mmengine - INFO - Epoch(train) [60][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:49:59 time: 0.2497 data_time: 0.0218 memory: 2049 grad_norm: 3.3638 loss: 4.6149 loss_cls: 2.9669 loss_bbox: 1.6480 2024/10/27 03:21:50 - mmengine - INFO - Epoch(train) [60][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:49:48 time: 0.2688 data_time: 0.0279 memory: 2049 grad_norm: 3.4890 loss: 4.6581 loss_cls: 3.0088 loss_bbox: 1.6493 2024/10/27 03:22:03 - mmengine - INFO - Epoch(train) [60][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:49:35 time: 0.2471 data_time: 0.0217 memory: 2049 grad_norm: 3.4811 loss: 4.4858 loss_cls: 2.9313 loss_bbox: 1.5544 2024/10/27 03:22:18 - mmengine - INFO - Epoch(train) [60][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:49:26 time: 0.2979 data_time: 0.0691 memory: 2049 grad_norm: 3.7290 loss: 4.6365 loss_cls: 3.0054 loss_bbox: 1.6311 2024/10/27 03:22:31 - mmengine - INFO - Epoch(train) [60][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:49:14 time: 0.2705 data_time: 0.0243 memory: 2049 grad_norm: 3.4222 loss: 4.5398 loss_cls: 2.9760 loss_bbox: 1.5638 2024/10/27 03:22:44 - mmengine - INFO - Epoch(train) [60][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:49:03 time: 0.2631 data_time: 0.0282 memory: 2049 grad_norm: 3.1806 loss: 4.5806 loss_cls: 2.9968 loss_bbox: 1.5838 2024/10/27 03:22:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:22:57 - mmengine - INFO - Epoch(train) [60][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:48:51 time: 0.2643 data_time: 0.0297 memory: 2049 grad_norm: 3.4516 loss: 4.6623 loss_cls: 3.0234 loss_bbox: 1.6389 2024/10/27 03:23:10 - mmengine - INFO - Epoch(train) [60][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:48:38 time: 0.2501 data_time: 0.0218 memory: 2049 grad_norm: 3.5380 loss: 4.6125 loss_cls: 2.9832 loss_bbox: 1.6293 2024/10/27 03:23:22 - mmengine - INFO - Epoch(train) [60][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:48:26 time: 0.2504 data_time: 0.0282 memory: 2049 grad_norm: 3.2237 loss: 4.6664 loss_cls: 3.0187 loss_bbox: 1.6477 2024/10/27 03:23:35 - mmengine - INFO - Epoch(train) [60][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:48:13 time: 0.2539 data_time: 0.0210 memory: 2049 grad_norm: 3.3826 loss: 4.6417 loss_cls: 2.9893 loss_bbox: 1.6524 2024/10/27 03:23:48 - mmengine - INFO - Epoch(train) [60][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:48:01 time: 0.2555 data_time: 0.0206 memory: 2049 grad_norm: 3.4585 loss: 4.6908 loss_cls: 3.0362 loss_bbox: 1.6546 2024/10/27 03:23:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:23:49 - mmengine - INFO - Saving checkpoint at 60 epochs 2024/10/27 03:23:53 - mmengine - INFO - Epoch(val) [60][50/79] eta: 0:00:01 time: 0.0403 data_time: 0.0048 memory: 2049 2024/10/27 03:24:07 - mmengine - INFO - Evaluating bbox... 2024/10/27 03:25:14 - mmengine - INFO - bbox_mAP_copypaste: 0.168 0.295 0.171 0.014 0.144 0.337 2024/10/27 03:25:16 - mmengine - INFO - Epoch(val) [60][79/79] coco/bbox_mAP: 0.1680 coco/bbox_mAP_50: 0.2950 coco/bbox_mAP_75: 0.1710 coco/bbox_mAP_s: 0.0140 coco/bbox_mAP_m: 0.1440 coco/bbox_mAP_l: 0.3370 data_time: 0.0044 time: 0.0394 2024/10/27 03:25:29 - mmengine - INFO - Epoch(train) [61][ 50/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:47:48 time: 0.2611 data_time: 0.0412 memory: 2049 grad_norm: 3.2987 loss: 4.5738 loss_cls: 2.9681 loss_bbox: 1.6057 2024/10/27 03:25:41 - mmengine - INFO - Epoch(train) [61][ 100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:47:34 time: 0.2368 data_time: 0.0260 memory: 2049 grad_norm: 3.1463 loss: 4.6270 loss_cls: 3.0107 loss_bbox: 1.6163 2024/10/27 03:25:53 - mmengine - INFO - Epoch(train) [61][ 150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:47:21 time: 0.2425 data_time: 0.0264 memory: 2049 grad_norm: 3.4061 loss: 4.6027 loss_cls: 2.9906 loss_bbox: 1.6121 2024/10/27 03:26:05 - mmengine - INFO - Epoch(train) [61][ 200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:47:08 time: 0.2439 data_time: 0.0255 memory: 2049 grad_norm: 3.4490 loss: 4.6074 loss_cls: 3.0177 loss_bbox: 1.5897 2024/10/27 03:26:17 - mmengine - INFO - Epoch(train) [61][ 250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:46:55 time: 0.2461 data_time: 0.0311 memory: 2049 grad_norm: 3.0432 loss: 4.5968 loss_cls: 2.9568 loss_bbox: 1.6400 2024/10/27 03:26:30 - mmengine - INFO - Epoch(train) [61][ 300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:46:43 time: 0.2585 data_time: 0.0271 memory: 2049 grad_norm: 3.3932 loss: 4.6412 loss_cls: 3.0502 loss_bbox: 1.5911 2024/10/27 03:26:42 - mmengine - INFO - Epoch(train) [61][ 350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:46:30 time: 0.2454 data_time: 0.0244 memory: 2049 grad_norm: 3.3272 loss: 4.6232 loss_cls: 2.9792 loss_bbox: 1.6440 2024/10/27 03:26:55 - mmengine - INFO - Epoch(train) [61][ 400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:46:17 time: 0.2557 data_time: 0.0318 memory: 2049 grad_norm: 3.4186 loss: 4.5545 loss_cls: 2.9649 loss_bbox: 1.5897 2024/10/27 03:27:08 - mmengine - INFO - Epoch(train) [61][ 450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:46:04 time: 0.2455 data_time: 0.0264 memory: 2049 grad_norm: 3.4313 loss: 4.5814 loss_cls: 2.9805 loss_bbox: 1.6009 2024/10/27 03:27:20 - mmengine - INFO - Epoch(train) [61][ 500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:45:52 time: 0.2494 data_time: 0.0254 memory: 2049 grad_norm: 3.2855 loss: 4.6793 loss_cls: 3.0634 loss_bbox: 1.6158 2024/10/27 03:27:33 - mmengine - INFO - Epoch(train) [61][ 550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:45:39 time: 0.2500 data_time: 0.0255 memory: 2049 grad_norm: 3.3368 loss: 4.6164 loss_cls: 3.0188 loss_bbox: 1.5976 2024/10/27 03:27:45 - mmengine - INFO - Epoch(train) [61][ 600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:45:26 time: 0.2400 data_time: 0.0277 memory: 2049 grad_norm: 3.5280 loss: 4.5885 loss_cls: 2.9625 loss_bbox: 1.6260 2024/10/27 03:27:57 - mmengine - INFO - Epoch(train) [61][ 650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:45:14 time: 0.2571 data_time: 0.0307 memory: 2049 grad_norm: 3.5800 loss: 4.6999 loss_cls: 3.0580 loss_bbox: 1.6419 2024/10/27 03:28:10 - mmengine - INFO - Epoch(train) [61][ 700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:45:01 time: 0.2581 data_time: 0.0255 memory: 2049 grad_norm: 3.3919 loss: 4.5396 loss_cls: 2.9647 loss_bbox: 1.5749 2024/10/27 03:28:23 - mmengine - INFO - Epoch(train) [61][ 750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:44:49 time: 0.2546 data_time: 0.0264 memory: 2049 grad_norm: 3.1746 loss: 4.6690 loss_cls: 3.0105 loss_bbox: 1.6585 2024/10/27 03:28:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:28:36 - mmengine - INFO - Epoch(train) [61][ 800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:44:37 time: 0.2575 data_time: 0.0316 memory: 2049 grad_norm: 3.5319 loss: 4.6523 loss_cls: 2.9910 loss_bbox: 1.6613 2024/10/27 03:28:49 - mmengine - INFO - Epoch(train) [61][ 850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:44:24 time: 0.2527 data_time: 0.0316 memory: 2049 grad_norm: 3.5295 loss: 4.4859 loss_cls: 2.9444 loss_bbox: 1.5415 2024/10/27 03:29:02 - mmengine - INFO - Epoch(train) [61][ 900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:44:13 time: 0.2635 data_time: 0.0273 memory: 2049 grad_norm: 3.3711 loss: 4.6598 loss_cls: 2.9931 loss_bbox: 1.6668 2024/10/27 03:29:18 - mmengine - INFO - Epoch(train) [61][ 950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:44:05 time: 0.3142 data_time: 0.0967 memory: 2049 grad_norm: 3.3379 loss: 4.7205 loss_cls: 3.0742 loss_bbox: 1.6463 2024/10/27 03:29:31 - mmengine - INFO - Epoch(train) [61][1000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:43:53 time: 0.2596 data_time: 0.0247 memory: 2049 grad_norm: 3.5112 loss: 4.6085 loss_cls: 2.9766 loss_bbox: 1.6320 2024/10/27 03:29:43 - mmengine - INFO - Epoch(train) [61][1050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:43:40 time: 0.2498 data_time: 0.0247 memory: 2049 grad_norm: 3.3379 loss: 4.5165 loss_cls: 2.9841 loss_bbox: 1.5324 2024/10/27 03:29:56 - mmengine - INFO - Epoch(train) [61][1100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:43:27 time: 0.2545 data_time: 0.0286 memory: 2049 grad_norm: 3.2894 loss: 4.6637 loss_cls: 3.0499 loss_bbox: 1.6138 2024/10/27 03:30:09 - mmengine - INFO - Epoch(train) [61][1150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:43:16 time: 0.2726 data_time: 0.0242 memory: 2049 grad_norm: 2.9451 loss: 4.6450 loss_cls: 2.9702 loss_bbox: 1.6748 2024/10/27 03:30:23 - mmengine - INFO - Epoch(train) [61][1200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:43:05 time: 0.2634 data_time: 0.0344 memory: 2049 grad_norm: 3.3512 loss: 4.5363 loss_cls: 2.9783 loss_bbox: 1.5580 2024/10/27 03:30:36 - mmengine - INFO - Epoch(train) [61][1250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:42:53 time: 0.2671 data_time: 0.0257 memory: 2049 grad_norm: 3.5311 loss: 4.5510 loss_cls: 2.9521 loss_bbox: 1.5988 2024/10/27 03:30:48 - mmengine - INFO - Epoch(train) [61][1300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:42:40 time: 0.2495 data_time: 0.0255 memory: 2049 grad_norm: 3.5037 loss: 4.5233 loss_cls: 2.9286 loss_bbox: 1.5947 2024/10/27 03:31:01 - mmengine - INFO - Epoch(train) [61][1350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:42:28 time: 0.2513 data_time: 0.0253 memory: 2049 grad_norm: 3.5429 loss: 4.5800 loss_cls: 2.9655 loss_bbox: 1.6145 2024/10/27 03:31:14 - mmengine - INFO - Epoch(train) [61][1400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:42:16 time: 0.2671 data_time: 0.0250 memory: 2049 grad_norm: 3.1578 loss: 4.7198 loss_cls: 3.0927 loss_bbox: 1.6272 2024/10/27 03:31:27 - mmengine - INFO - Epoch(train) [61][1450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:42:04 time: 0.2545 data_time: 0.0340 memory: 2049 grad_norm: 3.3702 loss: 4.5626 loss_cls: 3.0008 loss_bbox: 1.5618 2024/10/27 03:31:40 - mmengine - INFO - Epoch(train) [61][1500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:41:52 time: 0.2605 data_time: 0.0282 memory: 2049 grad_norm: 3.5578 loss: 4.6277 loss_cls: 3.0105 loss_bbox: 1.6173 2024/10/27 03:31:54 - mmengine - INFO - Epoch(train) [61][1550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:41:41 time: 0.2670 data_time: 0.0329 memory: 2049 grad_norm: 3.3046 loss: 4.5918 loss_cls: 2.9927 loss_bbox: 1.5991 2024/10/27 03:32:06 - mmengine - INFO - Epoch(train) [61][1600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:41:28 time: 0.2469 data_time: 0.0237 memory: 2049 grad_norm: 3.4739 loss: 4.5243 loss_cls: 2.9912 loss_bbox: 1.5330 2024/10/27 03:32:19 - mmengine - INFO - Epoch(train) [61][1650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:41:16 time: 0.2664 data_time: 0.0227 memory: 2049 grad_norm: 3.1615 loss: 4.6907 loss_cls: 3.0362 loss_bbox: 1.6544 2024/10/27 03:32:32 - mmengine - INFO - Epoch(train) [61][1700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:41:03 time: 0.2485 data_time: 0.0218 memory: 2049 grad_norm: 3.3569 loss: 4.5716 loss_cls: 2.9996 loss_bbox: 1.5720 2024/10/27 03:32:45 - mmengine - INFO - Epoch(train) [61][1750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:40:51 time: 0.2570 data_time: 0.0222 memory: 2049 grad_norm: 3.3040 loss: 4.6461 loss_cls: 3.0098 loss_bbox: 1.6363 2024/10/27 03:32:47 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:32:58 - mmengine - INFO - Epoch(train) [61][1800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:40:39 time: 0.2623 data_time: 0.0254 memory: 2049 grad_norm: 3.2171 loss: 4.5913 loss_cls: 2.9820 loss_bbox: 1.6093 2024/10/27 03:33:10 - mmengine - INFO - Epoch(train) [61][1850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:40:27 time: 0.2526 data_time: 0.0224 memory: 2049 grad_norm: 3.5094 loss: 4.6654 loss_cls: 3.0388 loss_bbox: 1.6265 2024/10/27 03:33:24 - mmengine - INFO - Epoch(train) [61][1900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:40:15 time: 0.2681 data_time: 0.0221 memory: 2049 grad_norm: 3.3341 loss: 4.5709 loss_cls: 2.9787 loss_bbox: 1.5922 2024/10/27 03:33:37 - mmengine - INFO - Epoch(train) [61][1950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:40:03 time: 0.2580 data_time: 0.0333 memory: 2049 grad_norm: 3.1794 loss: 4.6660 loss_cls: 3.0421 loss_bbox: 1.6239 2024/10/27 03:33:50 - mmengine - INFO - Epoch(train) [61][2000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:39:52 time: 0.2735 data_time: 0.0286 memory: 2049 grad_norm: 3.3477 loss: 4.6711 loss_cls: 3.0644 loss_bbox: 1.6067 2024/10/27 03:34:03 - mmengine - INFO - Epoch(train) [61][2050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:39:40 time: 0.2576 data_time: 0.0277 memory: 2049 grad_norm: 3.3943 loss: 4.5659 loss_cls: 2.9730 loss_bbox: 1.5928 2024/10/27 03:34:18 - mmengine - INFO - Epoch(train) [61][2100/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:39:31 time: 0.2978 data_time: 0.0640 memory: 2049 grad_norm: 3.2391 loss: 4.5328 loss_cls: 2.9652 loss_bbox: 1.5677 2024/10/27 03:34:31 - mmengine - INFO - Epoch(train) [61][2150/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:39:19 time: 0.2646 data_time: 0.0223 memory: 2049 grad_norm: 3.5379 loss: 4.7158 loss_cls: 3.0341 loss_bbox: 1.6817 2024/10/27 03:34:44 - mmengine - INFO - Epoch(train) [61][2200/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:39:06 time: 0.2493 data_time: 0.0222 memory: 2049 grad_norm: 3.3483 loss: 4.5708 loss_cls: 2.9841 loss_bbox: 1.5867 2024/10/27 03:34:57 - mmengine - INFO - Epoch(train) [61][2250/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:38:54 time: 0.2627 data_time: 0.0225 memory: 2049 grad_norm: 3.3169 loss: 4.7090 loss_cls: 3.0518 loss_bbox: 1.6572 2024/10/27 03:35:10 - mmengine - INFO - Epoch(train) [61][2300/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:38:43 time: 0.2663 data_time: 0.0256 memory: 2049 grad_norm: 3.2129 loss: 4.6518 loss_cls: 3.0298 loss_bbox: 1.6219 2024/10/27 03:35:23 - mmengine - INFO - Epoch(train) [61][2350/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:38:31 time: 0.2575 data_time: 0.0275 memory: 2049 grad_norm: 3.2323 loss: 4.7048 loss_cls: 3.0506 loss_bbox: 1.6541 2024/10/27 03:35:37 - mmengine - INFO - Epoch(train) [61][2400/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:38:20 time: 0.2757 data_time: 0.0328 memory: 2049 grad_norm: 3.1907 loss: 4.5461 loss_cls: 2.9817 loss_bbox: 1.5644 2024/10/27 03:35:50 - mmengine - INFO - Epoch(train) [61][2450/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:38:07 time: 0.2518 data_time: 0.0254 memory: 2049 grad_norm: 3.2579 loss: 4.6204 loss_cls: 2.9687 loss_bbox: 1.6517 2024/10/27 03:36:03 - mmengine - INFO - Epoch(train) [61][2500/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:37:56 time: 0.2713 data_time: 0.0248 memory: 2049 grad_norm: 3.4989 loss: 4.6731 loss_cls: 3.0239 loss_bbox: 1.6492 2024/10/27 03:36:18 - mmengine - INFO - Epoch(train) [61][2550/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:37:47 time: 0.2979 data_time: 0.0664 memory: 2049 grad_norm: 3.3533 loss: 4.6523 loss_cls: 3.0035 loss_bbox: 1.6489 2024/10/27 03:36:32 - mmengine - INFO - Epoch(train) [61][2600/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:37:36 time: 0.2743 data_time: 0.0315 memory: 2049 grad_norm: 3.3101 loss: 4.7236 loss_cls: 3.0542 loss_bbox: 1.6694 2024/10/27 03:36:45 - mmengine - INFO - Epoch(train) [61][2650/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:37:24 time: 0.2705 data_time: 0.0274 memory: 2049 grad_norm: 3.2045 loss: 4.5473 loss_cls: 2.9573 loss_bbox: 1.5900 2024/10/27 03:36:58 - mmengine - INFO - Epoch(train) [61][2700/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:37:12 time: 0.2513 data_time: 0.0270 memory: 2049 grad_norm: 3.0079 loss: 4.6343 loss_cls: 2.9730 loss_bbox: 1.6613 2024/10/27 03:37:12 - mmengine - INFO - Epoch(train) [61][2750/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:37:01 time: 0.2720 data_time: 0.0261 memory: 2049 grad_norm: 3.3216 loss: 4.6588 loss_cls: 2.9945 loss_bbox: 1.6643 2024/10/27 03:37:15 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:37:26 - mmengine - INFO - Epoch(train) [61][2800/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:36:50 time: 0.2814 data_time: 0.0496 memory: 2049 grad_norm: 3.3613 loss: 4.7070 loss_cls: 3.0717 loss_bbox: 1.6352 2024/10/27 03:37:39 - mmengine - INFO - Epoch(train) [61][2850/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:36:38 time: 0.2662 data_time: 0.0246 memory: 2049 grad_norm: 3.1724 loss: 4.7288 loss_cls: 3.0554 loss_bbox: 1.6733 2024/10/27 03:37:52 - mmengine - INFO - Epoch(train) [61][2900/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:36:26 time: 0.2584 data_time: 0.0327 memory: 2049 grad_norm: 3.1868 loss: 4.5729 loss_cls: 2.9751 loss_bbox: 1.5978 2024/10/27 03:38:05 - mmengine - INFO - Epoch(train) [61][2950/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:36:14 time: 0.2565 data_time: 0.0273 memory: 2049 grad_norm: 3.1792 loss: 4.5979 loss_cls: 3.0198 loss_bbox: 1.5780 2024/10/27 03:38:19 - mmengine - INFO - Epoch(train) [61][3000/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:36:04 time: 0.2853 data_time: 0.0419 memory: 2049 grad_norm: 3.2542 loss: 4.5404 loss_cls: 2.9640 loss_bbox: 1.5764 2024/10/27 03:38:32 - mmengine - INFO - Epoch(train) [61][3050/3054] base_lr: 2.4000e-03 lr: 2.4000e-03 eta: 12:35:52 time: 0.2594 data_time: 0.0240 memory: 2049 grad_norm: 3.3040 loss: 4.6181 loss_cls: 3.0118 loss_bbox: 1.6063 2024/10/27 03:38:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:38:33 - mmengine - INFO - Saving checkpoint at 61 epochs 2024/10/27 03:38:49 - mmengine - INFO - Epoch(train) [62][ 50/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:35:39 time: 0.2525 data_time: 0.0362 memory: 2049 grad_norm: 3.3568 loss: 4.7002 loss_cls: 3.0464 loss_bbox: 1.6538 2024/10/27 03:39:01 - mmengine - INFO - Epoch(train) [62][ 100/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:35:25 time: 0.2404 data_time: 0.0294 memory: 2049 grad_norm: 3.3178 loss: 4.6044 loss_cls: 3.0129 loss_bbox: 1.5915 2024/10/27 03:39:13 - mmengine - INFO - Epoch(train) [62][ 150/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:35:12 time: 0.2445 data_time: 0.0259 memory: 2049 grad_norm: 3.1421 loss: 4.6593 loss_cls: 3.0448 loss_bbox: 1.6144 2024/10/27 03:39:26 - mmengine - INFO - Epoch(train) [62][ 200/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:34:59 time: 0.2462 data_time: 0.0252 memory: 2049 grad_norm: 3.2248 loss: 4.5427 loss_cls: 2.9674 loss_bbox: 1.5752 2024/10/27 03:39:39 - mmengine - INFO - Epoch(train) [62][ 250/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:34:47 time: 0.2574 data_time: 0.0366 memory: 2049 grad_norm: 3.5020 loss: 4.6262 loss_cls: 2.9595 loss_bbox: 1.6666 2024/10/27 03:39:51 - mmengine - INFO - Epoch(train) [62][ 300/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:34:34 time: 0.2392 data_time: 0.0255 memory: 2049 grad_norm: 3.3053 loss: 4.6257 loss_cls: 3.0076 loss_bbox: 1.6182 2024/10/27 03:40:03 - mmengine - INFO - Epoch(train) [62][ 350/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:34:21 time: 0.2473 data_time: 0.0246 memory: 2049 grad_norm: 3.4891 loss: 4.7522 loss_cls: 3.0964 loss_bbox: 1.6558 2024/10/27 03:40:18 - mmengine - INFO - Epoch(train) [62][ 400/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:34:11 time: 0.2985 data_time: 0.0757 memory: 2049 grad_norm: 3.5075 loss: 4.6402 loss_cls: 3.0316 loss_bbox: 1.6086 2024/10/27 03:40:31 - mmengine - INFO - Epoch(train) [62][ 450/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:33:59 time: 0.2587 data_time: 0.0266 memory: 2049 grad_norm: 3.3879 loss: 4.6087 loss_cls: 2.9831 loss_bbox: 1.6256 2024/10/27 03:40:43 - mmengine - INFO - Epoch(train) [62][ 500/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:33:46 time: 0.2441 data_time: 0.0230 memory: 2049 grad_norm: 3.4764 loss: 4.5760 loss_cls: 2.9631 loss_bbox: 1.6129 2024/10/27 03:40:55 - mmengine - INFO - Epoch(train) [62][ 550/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:33:33 time: 0.2441 data_time: 0.0237 memory: 2049 grad_norm: 3.1598 loss: 4.6678 loss_cls: 3.0365 loss_bbox: 1.6313 2024/10/27 03:41:07 - mmengine - INFO - Epoch(train) [62][ 600/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:33:20 time: 0.2452 data_time: 0.0287 memory: 2049 grad_norm: 3.3016 loss: 4.5850 loss_cls: 2.9890 loss_bbox: 1.5960 2024/10/27 03:41:21 - mmengine - INFO - Epoch(train) [62][ 650/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:33:08 time: 0.2619 data_time: 0.0236 memory: 2049 grad_norm: 3.4825 loss: 4.6453 loss_cls: 3.0222 loss_bbox: 1.6231 2024/10/27 03:41:33 - mmengine - INFO - Epoch(train) [62][ 700/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:32:56 time: 0.2499 data_time: 0.0243 memory: 2049 grad_norm: 3.3347 loss: 4.5151 loss_cls: 2.9417 loss_bbox: 1.5733 2024/10/27 03:41:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:41:46 - mmengine - INFO - Epoch(train) [62][ 750/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:32:43 time: 0.2488 data_time: 0.0230 memory: 2049 grad_norm: 3.3115 loss: 4.6208 loss_cls: 3.0014 loss_bbox: 1.6194 2024/10/27 03:41:58 - mmengine - INFO - Epoch(train) [62][ 800/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:32:30 time: 0.2523 data_time: 0.0233 memory: 2049 grad_norm: 3.1889 loss: 4.7194 loss_cls: 3.0698 loss_bbox: 1.6496 2024/10/27 03:42:11 - mmengine - INFO - Epoch(train) [62][ 850/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:32:18 time: 0.2522 data_time: 0.0279 memory: 2049 grad_norm: 3.3440 loss: 4.6820 loss_cls: 3.0415 loss_bbox: 1.6405 2024/10/27 03:42:24 - mmengine - INFO - Epoch(train) [62][ 900/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:32:06 time: 0.2602 data_time: 0.0224 memory: 2049 grad_norm: 3.1930 loss: 4.5960 loss_cls: 3.0004 loss_bbox: 1.5956 2024/10/27 03:42:36 - mmengine - INFO - Epoch(train) [62][ 950/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:31:53 time: 0.2476 data_time: 0.0236 memory: 2049 grad_norm: 3.7814 loss: 4.7558 loss_cls: 3.0654 loss_bbox: 1.6904 2024/10/27 03:42:49 - mmengine - INFO - Epoch(train) [62][1000/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:31:40 time: 0.2480 data_time: 0.0299 memory: 2049 grad_norm: 3.2147 loss: 4.5633 loss_cls: 2.9780 loss_bbox: 1.5853 2024/10/27 03:43:02 - mmengine - INFO - Epoch(train) [62][1050/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:31:28 time: 0.2609 data_time: 0.0253 memory: 2049 grad_norm: 3.4351 loss: 4.5928 loss_cls: 3.0117 loss_bbox: 1.5811 2024/10/27 03:43:14 - mmengine - INFO - Epoch(train) [62][1100/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:31:15 time: 0.2487 data_time: 0.0224 memory: 2049 grad_norm: 3.2149 loss: 4.5081 loss_cls: 2.9336 loss_bbox: 1.5746 2024/10/27 03:43:27 - mmengine - INFO - Epoch(train) [62][1150/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:31:03 time: 0.2630 data_time: 0.0224 memory: 2049 grad_norm: 3.6888 loss: 4.5358 loss_cls: 2.9752 loss_bbox: 1.5606 2024/10/27 03:43:40 - mmengine - INFO - Epoch(train) [62][1200/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:30:50 time: 0.2463 data_time: 0.0233 memory: 2049 grad_norm: 3.1984 loss: 4.6083 loss_cls: 2.9746 loss_bbox: 1.6337 2024/10/27 03:43:52 - mmengine - INFO - Epoch(train) [62][1250/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:30:38 time: 0.2560 data_time: 0.0237 memory: 2049 grad_norm: 3.3944 loss: 4.5604 loss_cls: 2.9930 loss_bbox: 1.5674 2024/10/27 03:44:05 - mmengine - INFO - Epoch(train) [62][1300/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:30:26 time: 0.2519 data_time: 0.0249 memory: 2049 grad_norm: 3.3725 loss: 4.5398 loss_cls: 2.9240 loss_bbox: 1.6158 2024/10/27 03:44:17 - mmengine - INFO - Epoch(train) [62][1350/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:30:13 time: 0.2485 data_time: 0.0257 memory: 2049 grad_norm: 3.4483 loss: 4.6883 loss_cls: 3.0682 loss_bbox: 1.6200 2024/10/27 03:44:30 - mmengine - INFO - Epoch(train) [62][1400/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:30:01 time: 0.2592 data_time: 0.0226 memory: 2049 grad_norm: 3.3258 loss: 4.6390 loss_cls: 3.0348 loss_bbox: 1.6042 2024/10/27 03:44:43 - mmengine - INFO - Epoch(train) [62][1450/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:29:48 time: 0.2465 data_time: 0.0230 memory: 2049 grad_norm: 3.4481 loss: 4.5995 loss_cls: 3.0092 loss_bbox: 1.5903 2024/10/27 03:44:55 - mmengine - INFO - Epoch(train) [62][1500/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:29:35 time: 0.2450 data_time: 0.0237 memory: 2049 grad_norm: 3.1586 loss: 4.5464 loss_cls: 2.9550 loss_bbox: 1.5914 2024/10/27 03:45:08 - mmengine - INFO - Epoch(train) [62][1550/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:29:23 time: 0.2614 data_time: 0.0239 memory: 2049 grad_norm: 3.2099 loss: 4.6789 loss_cls: 3.0187 loss_bbox: 1.6602 2024/10/27 03:45:21 - mmengine - INFO - Epoch(train) [62][1600/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:29:10 time: 0.2501 data_time: 0.0295 memory: 2049 grad_norm: 3.3211 loss: 4.6160 loss_cls: 2.9715 loss_bbox: 1.6445 2024/10/27 03:45:33 - mmengine - INFO - Epoch(train) [62][1650/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:28:58 time: 0.2554 data_time: 0.0231 memory: 2049 grad_norm: 3.2909 loss: 4.6201 loss_cls: 2.9695 loss_bbox: 1.6506 2024/10/27 03:45:46 - mmengine - INFO - Epoch(train) [62][1700/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:28:45 time: 0.2436 data_time: 0.0238 memory: 2049 grad_norm: 3.1925 loss: 4.5311 loss_cls: 2.9732 loss_bbox: 1.5579 2024/10/27 03:45:47 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:45:57 - mmengine - INFO - Epoch(train) [62][1750/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:28:31 time: 0.2377 data_time: 0.0241 memory: 2049 grad_norm: 3.2145 loss: 4.6367 loss_cls: 3.0092 loss_bbox: 1.6275 2024/10/27 03:46:10 - mmengine - INFO - Epoch(train) [62][1800/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:28:19 time: 0.2541 data_time: 0.0236 memory: 2049 grad_norm: 3.3602 loss: 4.5080 loss_cls: 2.9426 loss_bbox: 1.5653 2024/10/27 03:46:23 - mmengine - INFO - Epoch(train) [62][1850/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:28:06 time: 0.2525 data_time: 0.0289 memory: 2049 grad_norm: 3.5807 loss: 4.5269 loss_cls: 2.9522 loss_bbox: 1.5747 2024/10/27 03:46:35 - mmengine - INFO - Epoch(train) [62][1900/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:27:53 time: 0.2446 data_time: 0.0255 memory: 2049 grad_norm: 3.2593 loss: 4.6978 loss_cls: 3.0558 loss_bbox: 1.6419 2024/10/27 03:46:48 - mmengine - INFO - Epoch(train) [62][1950/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:27:40 time: 0.2503 data_time: 0.0234 memory: 2049 grad_norm: 3.3263 loss: 4.6173 loss_cls: 2.9999 loss_bbox: 1.6174 2024/10/27 03:46:59 - mmengine - INFO - Epoch(train) [62][2000/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:27:27 time: 0.2380 data_time: 0.0232 memory: 2049 grad_norm: 3.5144 loss: 4.6771 loss_cls: 3.0075 loss_bbox: 1.6696 2024/10/27 03:47:12 - mmengine - INFO - Epoch(train) [62][2050/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:27:15 time: 0.2548 data_time: 0.0259 memory: 2049 grad_norm: 3.4349 loss: 4.5533 loss_cls: 2.9591 loss_bbox: 1.5942 2024/10/27 03:47:24 - mmengine - INFO - Epoch(train) [62][2100/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:27:01 time: 0.2438 data_time: 0.0237 memory: 2049 grad_norm: 3.3149 loss: 4.5517 loss_cls: 2.9862 loss_bbox: 1.5655 2024/10/27 03:47:37 - mmengine - INFO - Epoch(train) [62][2150/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:26:49 time: 0.2559 data_time: 0.0260 memory: 2049 grad_norm: 3.5304 loss: 4.7274 loss_cls: 3.0565 loss_bbox: 1.6708 2024/10/27 03:47:50 - mmengine - INFO - Epoch(train) [62][2200/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:26:36 time: 0.2490 data_time: 0.0285 memory: 2049 grad_norm: 3.2480 loss: 4.5194 loss_cls: 2.9525 loss_bbox: 1.5669 2024/10/27 03:48:02 - mmengine - INFO - Epoch(train) [62][2250/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:26:23 time: 0.2461 data_time: 0.0245 memory: 2049 grad_norm: 3.5528 loss: 4.6920 loss_cls: 3.0303 loss_bbox: 1.6617 2024/10/27 03:48:17 - mmengine - INFO - Epoch(train) [62][2300/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:26:15 time: 0.3086 data_time: 0.0849 memory: 2049 grad_norm: 3.2517 loss: 4.6064 loss_cls: 2.9858 loss_bbox: 1.6206 2024/10/27 03:48:30 - mmengine - INFO - Epoch(train) [62][2350/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:26:02 time: 0.2463 data_time: 0.0288 memory: 2049 grad_norm: 3.4235 loss: 4.6052 loss_cls: 3.0020 loss_bbox: 1.6032 2024/10/27 03:48:42 - mmengine - INFO - Epoch(train) [62][2400/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:25:49 time: 0.2495 data_time: 0.0240 memory: 2049 grad_norm: 3.5852 loss: 4.6060 loss_cls: 3.0116 loss_bbox: 1.5944 2024/10/27 03:48:55 - mmengine - INFO - Epoch(train) [62][2450/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:25:36 time: 0.2507 data_time: 0.0259 memory: 2049 grad_norm: 3.1685 loss: 4.7262 loss_cls: 3.0241 loss_bbox: 1.7021 2024/10/27 03:49:07 - mmengine - INFO - Epoch(train) [62][2500/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:25:23 time: 0.2444 data_time: 0.0274 memory: 2049 grad_norm: 3.1284 loss: 4.5544 loss_cls: 2.9853 loss_bbox: 1.5691 2024/10/27 03:49:20 - mmengine - INFO - Epoch(train) [62][2550/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:25:11 time: 0.2620 data_time: 0.0326 memory: 2049 grad_norm: 3.2859 loss: 4.6017 loss_cls: 2.9845 loss_bbox: 1.6172 2024/10/27 03:49:32 - mmengine - INFO - Epoch(train) [62][2600/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:24:58 time: 0.2378 data_time: 0.0258 memory: 2049 grad_norm: 3.1591 loss: 4.6894 loss_cls: 3.0367 loss_bbox: 1.6527 2024/10/27 03:49:45 - mmengine - INFO - Epoch(train) [62][2650/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:24:45 time: 0.2559 data_time: 0.0245 memory: 2049 grad_norm: 3.1752 loss: 4.5640 loss_cls: 2.9509 loss_bbox: 1.6130 2024/10/27 03:49:58 - mmengine - INFO - Epoch(train) [62][2700/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:24:33 time: 0.2593 data_time: 0.0288 memory: 2049 grad_norm: 3.1588 loss: 4.5610 loss_cls: 2.9802 loss_bbox: 1.5808 2024/10/27 03:49:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:50:10 - mmengine - INFO - Epoch(train) [62][2750/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:24:20 time: 0.2456 data_time: 0.0261 memory: 2049 grad_norm: 3.3582 loss: 4.6230 loss_cls: 3.0101 loss_bbox: 1.6128 2024/10/27 03:50:23 - mmengine - INFO - Epoch(train) [62][2800/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:24:08 time: 0.2615 data_time: 0.0360 memory: 2049 grad_norm: 3.1815 loss: 4.6118 loss_cls: 3.0247 loss_bbox: 1.5871 2024/10/27 03:50:35 - mmengine - INFO - Epoch(train) [62][2850/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:23:55 time: 0.2449 data_time: 0.0254 memory: 2049 grad_norm: 3.2152 loss: 4.6610 loss_cls: 3.0189 loss_bbox: 1.6421 2024/10/27 03:50:48 - mmengine - INFO - Epoch(train) [62][2900/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:23:43 time: 0.2541 data_time: 0.0265 memory: 2049 grad_norm: 3.2565 loss: 4.6311 loss_cls: 3.0379 loss_bbox: 1.5932 2024/10/27 03:51:01 - mmengine - INFO - Epoch(train) [62][2950/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:23:31 time: 0.2593 data_time: 0.0294 memory: 2049 grad_norm: 3.2440 loss: 4.6089 loss_cls: 3.0338 loss_bbox: 1.5751 2024/10/27 03:51:13 - mmengine - INFO - Epoch(train) [62][3000/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:23:18 time: 0.2401 data_time: 0.0229 memory: 2049 grad_norm: 3.1665 loss: 4.7010 loss_cls: 3.0482 loss_bbox: 1.6528 2024/10/27 03:51:25 - mmengine - INFO - Epoch(train) [62][3050/3054] base_lr: 2.3984e-03 lr: 2.3984e-03 eta: 12:23:05 time: 0.2468 data_time: 0.0224 memory: 2049 grad_norm: 2.9711 loss: 4.5277 loss_cls: 2.9464 loss_bbox: 1.5814 2024/10/27 03:51:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:51:26 - mmengine - INFO - Saving checkpoint at 62 epochs 2024/10/27 03:51:41 - mmengine - INFO - Epoch(train) [63][ 50/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:22:51 time: 0.2513 data_time: 0.0416 memory: 2049 grad_norm: 3.4665 loss: 4.5631 loss_cls: 3.0079 loss_bbox: 1.5552 2024/10/27 03:51:53 - mmengine - INFO - Epoch(train) [63][ 100/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:22:38 time: 0.2449 data_time: 0.0321 memory: 2049 grad_norm: 3.3172 loss: 4.5148 loss_cls: 2.9498 loss_bbox: 1.5651 2024/10/27 03:52:05 - mmengine - INFO - Epoch(train) [63][ 150/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:22:24 time: 0.2339 data_time: 0.0253 memory: 2049 grad_norm: 3.3317 loss: 4.6713 loss_cls: 3.0271 loss_bbox: 1.6442 2024/10/27 03:52:17 - mmengine - INFO - Epoch(train) [63][ 200/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:22:10 time: 0.2348 data_time: 0.0311 memory: 2049 grad_norm: 3.2720 loss: 4.6390 loss_cls: 3.0104 loss_bbox: 1.6286 2024/10/27 03:52:29 - mmengine - INFO - Epoch(train) [63][ 250/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:21:57 time: 0.2389 data_time: 0.0244 memory: 2049 grad_norm: 3.2381 loss: 4.7239 loss_cls: 3.0797 loss_bbox: 1.6442 2024/10/27 03:52:41 - mmengine - INFO - Epoch(train) [63][ 300/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:21:43 time: 0.2360 data_time: 0.0351 memory: 2049 grad_norm: 3.2398 loss: 4.5991 loss_cls: 2.9880 loss_bbox: 1.6111 2024/10/27 03:52:53 - mmengine - INFO - Epoch(train) [63][ 350/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:21:30 time: 0.2484 data_time: 0.0271 memory: 2049 grad_norm: 3.2752 loss: 4.6539 loss_cls: 3.0231 loss_bbox: 1.6308 2024/10/27 03:53:05 - mmengine - INFO - Epoch(train) [63][ 400/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:21:17 time: 0.2385 data_time: 0.0256 memory: 2049 grad_norm: 3.0665 loss: 4.6856 loss_cls: 3.0497 loss_bbox: 1.6359 2024/10/27 03:53:17 - mmengine - INFO - Epoch(train) [63][ 450/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:21:03 time: 0.2316 data_time: 0.0301 memory: 2049 grad_norm: 3.7218 loss: 4.6305 loss_cls: 3.0230 loss_bbox: 1.6075 2024/10/27 03:53:29 - mmengine - INFO - Epoch(train) [63][ 500/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:20:50 time: 0.2483 data_time: 0.0265 memory: 2049 grad_norm: 3.2175 loss: 4.5447 loss_cls: 2.9526 loss_bbox: 1.5921 2024/10/27 03:53:41 - mmengine - INFO - Epoch(train) [63][ 550/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:20:37 time: 0.2408 data_time: 0.0262 memory: 2049 grad_norm: 3.3565 loss: 4.7483 loss_cls: 3.0345 loss_bbox: 1.7138 2024/10/27 03:53:53 - mmengine - INFO - Epoch(train) [63][ 600/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:20:24 time: 0.2473 data_time: 0.0264 memory: 2049 grad_norm: 3.4439 loss: 4.5571 loss_cls: 2.9714 loss_bbox: 1.5857 2024/10/27 03:54:06 - mmengine - INFO - Epoch(train) [63][ 650/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:20:12 time: 0.2510 data_time: 0.0332 memory: 2049 grad_norm: 3.2767 loss: 4.5821 loss_cls: 2.9704 loss_bbox: 1.6117 2024/10/27 03:54:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:54:18 - mmengine - INFO - Epoch(train) [63][ 700/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:19:58 time: 0.2338 data_time: 0.0261 memory: 2049 grad_norm: 3.4673 loss: 4.6916 loss_cls: 3.0338 loss_bbox: 1.6578 2024/10/27 03:54:31 - mmengine - INFO - Epoch(train) [63][ 750/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:19:46 time: 0.2568 data_time: 0.0261 memory: 2049 grad_norm: 3.1356 loss: 4.5521 loss_cls: 2.9941 loss_bbox: 1.5581 2024/10/27 03:54:42 - mmengine - INFO - Epoch(train) [63][ 800/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:19:32 time: 0.2362 data_time: 0.0243 memory: 2049 grad_norm: 3.4813 loss: 4.6301 loss_cls: 3.0347 loss_bbox: 1.5955 2024/10/27 03:54:54 - mmengine - INFO - Epoch(train) [63][ 850/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:19:19 time: 0.2416 data_time: 0.0223 memory: 2049 grad_norm: 3.0607 loss: 4.5445 loss_cls: 2.9802 loss_bbox: 1.5643 2024/10/27 03:55:07 - mmengine - INFO - Epoch(train) [63][ 900/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:19:06 time: 0.2526 data_time: 0.0214 memory: 2049 grad_norm: 2.9111 loss: 4.6087 loss_cls: 3.0023 loss_bbox: 1.6064 2024/10/27 03:55:19 - mmengine - INFO - Epoch(train) [63][ 950/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:18:53 time: 0.2405 data_time: 0.0257 memory: 2049 grad_norm: 3.3897 loss: 4.5803 loss_cls: 3.0028 loss_bbox: 1.5776 2024/10/27 03:55:33 - mmengine - INFO - Epoch(train) [63][1000/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:18:41 time: 0.2699 data_time: 0.0274 memory: 2049 grad_norm: 3.4374 loss: 4.4970 loss_cls: 2.9365 loss_bbox: 1.5605 2024/10/27 03:55:45 - mmengine - INFO - Epoch(train) [63][1050/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:18:28 time: 0.2447 data_time: 0.0219 memory: 2049 grad_norm: 3.2472 loss: 4.6499 loss_cls: 3.0095 loss_bbox: 1.6404 2024/10/27 03:55:58 - mmengine - INFO - Epoch(train) [63][1100/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:18:16 time: 0.2534 data_time: 0.0210 memory: 2049 grad_norm: 3.2788 loss: 4.5469 loss_cls: 2.9970 loss_bbox: 1.5499 2024/10/27 03:56:11 - mmengine - INFO - Epoch(train) [63][1150/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:18:04 time: 0.2597 data_time: 0.0250 memory: 2049 grad_norm: 3.3441 loss: 4.5793 loss_cls: 2.9249 loss_bbox: 1.6544 2024/10/27 03:56:23 - mmengine - INFO - Epoch(train) [63][1200/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:17:51 time: 0.2395 data_time: 0.0199 memory: 2049 grad_norm: 3.1368 loss: 4.5217 loss_cls: 2.9093 loss_bbox: 1.6124 2024/10/27 03:56:36 - mmengine - INFO - Epoch(train) [63][1250/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:17:39 time: 0.2683 data_time: 0.0262 memory: 2049 grad_norm: 3.5877 loss: 4.6156 loss_cls: 2.9788 loss_bbox: 1.6368 2024/10/27 03:56:48 - mmengine - INFO - Epoch(train) [63][1300/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:17:26 time: 0.2417 data_time: 0.0266 memory: 2049 grad_norm: 3.6081 loss: 4.6623 loss_cls: 3.0500 loss_bbox: 1.6123 2024/10/27 03:57:01 - mmengine - INFO - Epoch(train) [63][1350/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:17:13 time: 0.2514 data_time: 0.0214 memory: 2049 grad_norm: 3.1244 loss: 4.5194 loss_cls: 2.9387 loss_bbox: 1.5807 2024/10/27 03:57:13 - mmengine - INFO - Epoch(train) [63][1400/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:17:00 time: 0.2423 data_time: 0.0211 memory: 2049 grad_norm: 3.1158 loss: 4.5995 loss_cls: 2.9719 loss_bbox: 1.6277 2024/10/27 03:57:25 - mmengine - INFO - Epoch(train) [63][1450/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:16:47 time: 0.2407 data_time: 0.0205 memory: 2049 grad_norm: 3.6236 loss: 4.6562 loss_cls: 3.0182 loss_bbox: 1.6380 2024/10/27 03:57:38 - mmengine - INFO - Epoch(train) [63][1500/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:16:34 time: 0.2554 data_time: 0.0203 memory: 2049 grad_norm: 3.3771 loss: 4.6150 loss_cls: 3.0107 loss_bbox: 1.6043 2024/10/27 03:57:49 - mmengine - INFO - Epoch(train) [63][1550/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:16:21 time: 0.2343 data_time: 0.0272 memory: 2049 grad_norm: 3.3392 loss: 4.5929 loss_cls: 3.0405 loss_bbox: 1.5523 2024/10/27 03:58:02 - mmengine - INFO - Epoch(train) [63][1600/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:16:09 time: 0.2577 data_time: 0.0212 memory: 2049 grad_norm: 3.5186 loss: 4.6567 loss_cls: 3.0279 loss_bbox: 1.6288 2024/10/27 03:58:17 - mmengine - INFO - Epoch(train) [63][1650/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:15:59 time: 0.2991 data_time: 0.0868 memory: 2049 grad_norm: 3.5226 loss: 4.5810 loss_cls: 3.0004 loss_bbox: 1.5806 2024/10/27 03:58:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 03:58:29 - mmengine - INFO - Epoch(train) [63][1700/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:15:45 time: 0.2351 data_time: 0.0230 memory: 2049 grad_norm: 3.3917 loss: 4.6860 loss_cls: 2.9853 loss_bbox: 1.7007 2024/10/27 03:58:41 - mmengine - INFO - Epoch(train) [63][1750/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:15:32 time: 0.2412 data_time: 0.0221 memory: 2049 grad_norm: 3.3063 loss: 4.6065 loss_cls: 2.9747 loss_bbox: 1.6318 2024/10/27 03:58:53 - mmengine - INFO - Epoch(train) [63][1800/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:15:18 time: 0.2330 data_time: 0.0224 memory: 2049 grad_norm: 3.1738 loss: 4.5320 loss_cls: 2.9576 loss_bbox: 1.5744 2024/10/27 03:59:05 - mmengine - INFO - Epoch(train) [63][1850/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:15:06 time: 0.2511 data_time: 0.0240 memory: 2049 grad_norm: 3.1702 loss: 4.6308 loss_cls: 3.0078 loss_bbox: 1.6230 2024/10/27 03:59:18 - mmengine - INFO - Epoch(train) [63][1900/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:14:53 time: 0.2532 data_time: 0.0361 memory: 2049 grad_norm: 3.7258 loss: 4.6605 loss_cls: 3.0641 loss_bbox: 1.5964 2024/10/27 03:59:30 - mmengine - INFO - Epoch(train) [63][1950/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:14:40 time: 0.2437 data_time: 0.0240 memory: 2049 grad_norm: 3.0796 loss: 4.6657 loss_cls: 2.9994 loss_bbox: 1.6663 2024/10/27 03:59:42 - mmengine - INFO - Epoch(train) [63][2000/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:14:27 time: 0.2418 data_time: 0.0225 memory: 2049 grad_norm: 3.2991 loss: 4.5707 loss_cls: 3.0151 loss_bbox: 1.5556 2024/10/27 03:59:54 - mmengine - INFO - Epoch(train) [63][2050/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:14:13 time: 0.2318 data_time: 0.0223 memory: 2049 grad_norm: 3.5748 loss: 4.6584 loss_cls: 2.9964 loss_bbox: 1.6620 2024/10/27 04:00:07 - mmengine - INFO - Epoch(train) [63][2100/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:14:01 time: 0.2572 data_time: 0.0224 memory: 2049 grad_norm: 3.2976 loss: 4.5258 loss_cls: 2.9483 loss_bbox: 1.5775 2024/10/27 04:00:19 - mmengine - INFO - Epoch(train) [63][2150/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:13:48 time: 0.2461 data_time: 0.0314 memory: 2049 grad_norm: 3.3366 loss: 4.6336 loss_cls: 3.0298 loss_bbox: 1.6038 2024/10/27 04:00:31 - mmengine - INFO - Epoch(train) [63][2200/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:13:34 time: 0.2373 data_time: 0.0229 memory: 2049 grad_norm: 3.2209 loss: 4.5162 loss_cls: 2.9519 loss_bbox: 1.5643 2024/10/27 04:00:43 - mmengine - INFO - Epoch(train) [63][2250/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:13:21 time: 0.2345 data_time: 0.0287 memory: 2049 grad_norm: 3.2437 loss: 4.5940 loss_cls: 2.9929 loss_bbox: 1.6011 2024/10/27 04:00:55 - mmengine - INFO - Epoch(train) [63][2300/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:13:07 time: 0.2406 data_time: 0.0256 memory: 2049 grad_norm: 3.5022 loss: 4.5770 loss_cls: 3.0074 loss_bbox: 1.5696 2024/10/27 04:01:07 - mmengine - INFO - Epoch(train) [63][2350/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:12:55 time: 0.2503 data_time: 0.0233 memory: 2049 grad_norm: 3.3612 loss: 4.5534 loss_cls: 3.0174 loss_bbox: 1.5361 2024/10/27 04:01:19 - mmengine - INFO - Epoch(train) [63][2400/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:12:41 time: 0.2331 data_time: 0.0237 memory: 2049 grad_norm: 3.4555 loss: 4.6341 loss_cls: 2.9994 loss_bbox: 1.6347 2024/10/27 04:01:31 - mmengine - INFO - Epoch(train) [63][2450/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:12:28 time: 0.2449 data_time: 0.0237 memory: 2049 grad_norm: 3.2523 loss: 4.6574 loss_cls: 3.0010 loss_bbox: 1.6565 2024/10/27 04:01:43 - mmengine - INFO - Epoch(train) [63][2500/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:12:15 time: 0.2387 data_time: 0.0227 memory: 2049 grad_norm: 3.1366 loss: 4.6711 loss_cls: 3.0270 loss_bbox: 1.6441 2024/10/27 04:01:55 - mmengine - INFO - Epoch(train) [63][2550/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:12:01 time: 0.2359 data_time: 0.0245 memory: 2049 grad_norm: 3.4193 loss: 4.6430 loss_cls: 3.0674 loss_bbox: 1.5756 2024/10/27 04:02:07 - mmengine - INFO - Epoch(train) [63][2600/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:11:48 time: 0.2493 data_time: 0.0225 memory: 2049 grad_norm: 3.4465 loss: 4.6140 loss_cls: 3.0124 loss_bbox: 1.6016 2024/10/27 04:02:19 - mmengine - INFO - Epoch(train) [63][2650/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:11:35 time: 0.2449 data_time: 0.0269 memory: 2049 grad_norm: 3.3999 loss: 4.5642 loss_cls: 2.9587 loss_bbox: 1.6054 2024/10/27 04:02:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:02:32 - mmengine - INFO - Epoch(train) [63][2700/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:11:22 time: 0.2423 data_time: 0.0238 memory: 2049 grad_norm: 3.4499 loss: 4.6831 loss_cls: 3.0128 loss_bbox: 1.6703 2024/10/27 04:02:44 - mmengine - INFO - Epoch(train) [63][2750/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:11:09 time: 0.2486 data_time: 0.0229 memory: 2049 grad_norm: 3.3763 loss: 4.6327 loss_cls: 3.0245 loss_bbox: 1.6081 2024/10/27 04:02:56 - mmengine - INFO - Epoch(train) [63][2800/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:10:56 time: 0.2446 data_time: 0.0296 memory: 2049 grad_norm: 3.1357 loss: 4.6801 loss_cls: 3.0460 loss_bbox: 1.6341 2024/10/27 04:03:09 - mmengine - INFO - Epoch(train) [63][2850/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:10:44 time: 0.2547 data_time: 0.0292 memory: 2049 grad_norm: 3.3288 loss: 4.5719 loss_cls: 2.9647 loss_bbox: 1.6072 2024/10/27 04:03:22 - mmengine - INFO - Epoch(train) [63][2900/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:10:32 time: 0.2627 data_time: 0.0301 memory: 2049 grad_norm: 3.4785 loss: 4.5585 loss_cls: 2.9712 loss_bbox: 1.5873 2024/10/27 04:03:34 - mmengine - INFO - Epoch(train) [63][2950/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:10:19 time: 0.2421 data_time: 0.0214 memory: 2049 grad_norm: 3.4544 loss: 4.6529 loss_cls: 3.0156 loss_bbox: 1.6373 2024/10/27 04:03:47 - mmengine - INFO - Epoch(train) [63][3000/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:10:06 time: 0.2538 data_time: 0.0223 memory: 2049 grad_norm: 3.0986 loss: 4.6171 loss_cls: 2.9992 loss_bbox: 1.6180 2024/10/27 04:03:59 - mmengine - INFO - Epoch(train) [63][3050/3054] base_lr: 2.3934e-03 lr: 2.3934e-03 eta: 12:09:53 time: 0.2378 data_time: 0.0240 memory: 2049 grad_norm: 3.3374 loss: 4.6234 loss_cls: 3.0230 loss_bbox: 1.6004 2024/10/27 04:04:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:04:00 - mmengine - INFO - Saving checkpoint at 63 epochs 2024/10/27 04:04:18 - mmengine - INFO - Epoch(train) [64][ 50/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:09:39 time: 0.2455 data_time: 0.0358 memory: 2049 grad_norm: 3.0986 loss: 4.6339 loss_cls: 3.0042 loss_bbox: 1.6297 2024/10/27 04:04:29 - mmengine - INFO - Epoch(train) [64][ 100/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:09:25 time: 0.2329 data_time: 0.0299 memory: 2049 grad_norm: 3.3898 loss: 4.5163 loss_cls: 2.9655 loss_bbox: 1.5508 2024/10/27 04:04:41 - mmengine - INFO - Epoch(train) [64][ 150/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:09:12 time: 0.2399 data_time: 0.0240 memory: 2049 grad_norm: 3.1971 loss: 4.5929 loss_cls: 2.9754 loss_bbox: 1.6175 2024/10/27 04:04:53 - mmengine - INFO - Epoch(train) [64][ 200/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:08:58 time: 0.2367 data_time: 0.0245 memory: 2049 grad_norm: 3.2123 loss: 4.7520 loss_cls: 3.0926 loss_bbox: 1.6594 2024/10/27 04:05:05 - mmengine - INFO - Epoch(train) [64][ 250/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:08:44 time: 0.2274 data_time: 0.0290 memory: 2049 grad_norm: 3.2200 loss: 4.5264 loss_cls: 2.9939 loss_bbox: 1.5324 2024/10/27 04:05:18 - mmengine - INFO - Epoch(train) [64][ 300/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:08:32 time: 0.2600 data_time: 0.0468 memory: 2049 grad_norm: 3.3937 loss: 4.6364 loss_cls: 2.9508 loss_bbox: 1.6856 2024/10/27 04:05:30 - mmengine - INFO - Epoch(train) [64][ 350/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:08:19 time: 0.2461 data_time: 0.0265 memory: 2049 grad_norm: 3.4187 loss: 4.5335 loss_cls: 2.9749 loss_bbox: 1.5586 2024/10/27 04:05:42 - mmengine - INFO - Epoch(train) [64][ 400/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:08:05 time: 0.2328 data_time: 0.0245 memory: 2049 grad_norm: 3.1626 loss: 4.6255 loss_cls: 2.9851 loss_bbox: 1.6404 2024/10/27 04:05:54 - mmengine - INFO - Epoch(train) [64][ 450/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:07:52 time: 0.2419 data_time: 0.0236 memory: 2049 grad_norm: 3.4335 loss: 4.6150 loss_cls: 2.9931 loss_bbox: 1.6219 2024/10/27 04:06:06 - mmengine - INFO - Epoch(train) [64][ 500/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:07:39 time: 0.2448 data_time: 0.0245 memory: 2049 grad_norm: 3.3059 loss: 4.5681 loss_cls: 3.0015 loss_bbox: 1.5666 2024/10/27 04:06:18 - mmengine - INFO - Epoch(train) [64][ 550/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:07:26 time: 0.2459 data_time: 0.0249 memory: 2049 grad_norm: 3.3894 loss: 4.6464 loss_cls: 3.0092 loss_bbox: 1.6372 2024/10/27 04:06:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:06:30 - mmengine - INFO - Epoch(train) [64][ 600/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:07:13 time: 0.2454 data_time: 0.0263 memory: 2049 grad_norm: 3.3045 loss: 4.5977 loss_cls: 2.9853 loss_bbox: 1.6124 2024/10/27 04:06:43 - mmengine - INFO - Epoch(train) [64][ 650/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:07:01 time: 0.2570 data_time: 0.0362 memory: 2049 grad_norm: 3.3419 loss: 4.5746 loss_cls: 2.9832 loss_bbox: 1.5914 2024/10/27 04:06:55 - mmengine - INFO - Epoch(train) [64][ 700/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:06:48 time: 0.2419 data_time: 0.0246 memory: 2049 grad_norm: 3.4038 loss: 4.5671 loss_cls: 2.9413 loss_bbox: 1.6259 2024/10/27 04:07:08 - mmengine - INFO - Epoch(train) [64][ 750/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:06:35 time: 0.2474 data_time: 0.0327 memory: 2049 grad_norm: 3.2265 loss: 4.7110 loss_cls: 3.0443 loss_bbox: 1.6667 2024/10/27 04:07:20 - mmengine - INFO - Epoch(train) [64][ 800/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:06:22 time: 0.2462 data_time: 0.0255 memory: 2049 grad_norm: 3.3541 loss: 4.5915 loss_cls: 2.9872 loss_bbox: 1.6044 2024/10/27 04:07:33 - mmengine - INFO - Epoch(train) [64][ 850/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:06:10 time: 0.2552 data_time: 0.0273 memory: 2049 grad_norm: 3.2925 loss: 4.6519 loss_cls: 3.0116 loss_bbox: 1.6404 2024/10/27 04:07:46 - mmengine - INFO - Epoch(train) [64][ 900/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:05:58 time: 0.2594 data_time: 0.0258 memory: 2049 grad_norm: 3.2158 loss: 4.5511 loss_cls: 2.9741 loss_bbox: 1.5770 2024/10/27 04:07:59 - mmengine - INFO - Epoch(train) [64][ 950/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:05:46 time: 0.2624 data_time: 0.0262 memory: 2049 grad_norm: 3.3985 loss: 4.6279 loss_cls: 2.9798 loss_bbox: 1.6481 2024/10/27 04:08:12 - mmengine - INFO - Epoch(train) [64][1000/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:05:34 time: 0.2558 data_time: 0.0325 memory: 2049 grad_norm: 3.4381 loss: 4.6465 loss_cls: 3.0320 loss_bbox: 1.6145 2024/10/27 04:08:25 - mmengine - INFO - Epoch(train) [64][1050/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:05:22 time: 0.2678 data_time: 0.0333 memory: 2049 grad_norm: 3.3097 loss: 4.5507 loss_cls: 2.9309 loss_bbox: 1.6198 2024/10/27 04:08:38 - mmengine - INFO - Epoch(train) [64][1100/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:05:10 time: 0.2537 data_time: 0.0245 memory: 2049 grad_norm: 3.1298 loss: 4.6520 loss_cls: 3.0161 loss_bbox: 1.6358 2024/10/27 04:08:52 - mmengine - INFO - Epoch(train) [64][1150/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:04:58 time: 0.2715 data_time: 0.0341 memory: 2049 grad_norm: 3.0113 loss: 4.5853 loss_cls: 2.9998 loss_bbox: 1.5855 2024/10/27 04:09:04 - mmengine - INFO - Epoch(train) [64][1200/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:04:46 time: 0.2578 data_time: 0.0254 memory: 2049 grad_norm: 3.3758 loss: 4.4827 loss_cls: 2.9215 loss_bbox: 1.5612 2024/10/27 04:09:19 - mmengine - INFO - Epoch(train) [64][1250/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:04:35 time: 0.2839 data_time: 0.0517 memory: 2049 grad_norm: 3.2632 loss: 4.5896 loss_cls: 3.0088 loss_bbox: 1.5808 2024/10/27 04:09:32 - mmengine - INFO - Epoch(train) [64][1300/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:04:24 time: 0.2745 data_time: 0.0234 memory: 2049 grad_norm: 3.3218 loss: 4.6324 loss_cls: 3.0089 loss_bbox: 1.6234 2024/10/27 04:09:45 - mmengine - INFO - Epoch(train) [64][1350/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:04:12 time: 0.2590 data_time: 0.0259 memory: 2049 grad_norm: 3.2204 loss: 4.6073 loss_cls: 3.0130 loss_bbox: 1.5943 2024/10/27 04:09:58 - mmengine - INFO - Epoch(train) [64][1400/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:04:00 time: 0.2619 data_time: 0.0323 memory: 2049 grad_norm: 3.0993 loss: 4.5936 loss_cls: 3.0018 loss_bbox: 1.5918 2024/10/27 04:10:12 - mmengine - INFO - Epoch(train) [64][1450/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:03:48 time: 0.2641 data_time: 0.0301 memory: 2049 grad_norm: 3.3956 loss: 4.5927 loss_cls: 2.9756 loss_bbox: 1.6171 2024/10/27 04:10:25 - mmengine - INFO - Epoch(train) [64][1500/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:03:36 time: 0.2581 data_time: 0.0231 memory: 2049 grad_norm: 3.4058 loss: 4.5614 loss_cls: 2.9590 loss_bbox: 1.6024 2024/10/27 04:10:38 - mmengine - INFO - Epoch(train) [64][1550/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:03:25 time: 0.2714 data_time: 0.0220 memory: 2049 grad_norm: 3.5573 loss: 4.6503 loss_cls: 3.0318 loss_bbox: 1.6185 2024/10/27 04:10:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:10:51 - mmengine - INFO - Epoch(train) [64][1600/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:03:13 time: 0.2586 data_time: 0.0216 memory: 2049 grad_norm: 3.2965 loss: 4.6262 loss_cls: 3.0316 loss_bbox: 1.5946 2024/10/27 04:11:04 - mmengine - INFO - Epoch(train) [64][1650/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:03:01 time: 0.2568 data_time: 0.0223 memory: 2049 grad_norm: 3.4893 loss: 4.6174 loss_cls: 3.0355 loss_bbox: 1.5819 2024/10/27 04:11:19 - mmengine - INFO - Epoch(train) [64][1700/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:02:51 time: 0.2997 data_time: 0.0564 memory: 2049 grad_norm: 3.2631 loss: 4.4946 loss_cls: 2.9158 loss_bbox: 1.5789 2024/10/27 04:11:32 - mmengine - INFO - Epoch(train) [64][1750/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:02:38 time: 0.2538 data_time: 0.0231 memory: 2049 grad_norm: 3.2914 loss: 4.6129 loss_cls: 2.9907 loss_bbox: 1.6222 2024/10/27 04:11:45 - mmengine - INFO - Epoch(train) [64][1800/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:02:27 time: 0.2634 data_time: 0.0220 memory: 2049 grad_norm: 3.5262 loss: 4.5895 loss_cls: 2.9745 loss_bbox: 1.6150 2024/10/27 04:11:58 - mmengine - INFO - Epoch(train) [64][1850/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:02:15 time: 0.2636 data_time: 0.0219 memory: 2049 grad_norm: 3.5844 loss: 4.7307 loss_cls: 3.0734 loss_bbox: 1.6573 2024/10/27 04:12:11 - mmengine - INFO - Epoch(train) [64][1900/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:02:03 time: 0.2617 data_time: 0.0220 memory: 2049 grad_norm: 3.3453 loss: 4.6664 loss_cls: 3.0387 loss_bbox: 1.6277 2024/10/27 04:12:24 - mmengine - INFO - Epoch(train) [64][1950/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:01:51 time: 0.2684 data_time: 0.0220 memory: 2049 grad_norm: 3.1700 loss: 4.5172 loss_cls: 2.9449 loss_bbox: 1.5723 2024/10/27 04:12:37 - mmengine - INFO - Epoch(train) [64][2000/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:01:39 time: 0.2596 data_time: 0.0224 memory: 2049 grad_norm: 3.2748 loss: 4.5214 loss_cls: 2.9642 loss_bbox: 1.5572 2024/10/27 04:12:51 - mmengine - INFO - Epoch(train) [64][2050/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:01:27 time: 0.2622 data_time: 0.0254 memory: 2049 grad_norm: 3.2527 loss: 4.6141 loss_cls: 3.0509 loss_bbox: 1.5632 2024/10/27 04:13:04 - mmengine - INFO - Epoch(train) [64][2100/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:01:16 time: 0.2699 data_time: 0.0217 memory: 2049 grad_norm: 3.3011 loss: 4.6347 loss_cls: 3.0126 loss_bbox: 1.6221 2024/10/27 04:13:18 - mmengine - INFO - Epoch(train) [64][2150/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:01:05 time: 0.2797 data_time: 0.0488 memory: 2049 grad_norm: 2.9844 loss: 4.6651 loss_cls: 3.0188 loss_bbox: 1.6462 2024/10/27 04:13:32 - mmengine - INFO - Epoch(train) [64][2200/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:00:54 time: 0.2798 data_time: 0.0223 memory: 2049 grad_norm: 3.5021 loss: 4.6870 loss_cls: 3.0149 loss_bbox: 1.6721 2024/10/27 04:13:45 - mmengine - INFO - Epoch(train) [64][2250/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:00:42 time: 0.2576 data_time: 0.0264 memory: 2049 grad_norm: 3.1932 loss: 4.5475 loss_cls: 2.9531 loss_bbox: 1.5944 2024/10/27 04:13:58 - mmengine - INFO - Epoch(train) [64][2300/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:00:30 time: 0.2588 data_time: 0.0254 memory: 2049 grad_norm: 3.0335 loss: 4.6609 loss_cls: 3.0334 loss_bbox: 1.6275 2024/10/27 04:14:11 - mmengine - INFO - Epoch(train) [64][2350/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:00:18 time: 0.2660 data_time: 0.0239 memory: 2049 grad_norm: 3.3217 loss: 4.7651 loss_cls: 3.0968 loss_bbox: 1.6683 2024/10/27 04:14:24 - mmengine - INFO - Epoch(train) [64][2400/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 12:00:06 time: 0.2575 data_time: 0.0246 memory: 2049 grad_norm: 3.5972 loss: 4.5037 loss_cls: 2.9243 loss_bbox: 1.5793 2024/10/27 04:14:38 - mmengine - INFO - Epoch(train) [64][2450/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:59:55 time: 0.2727 data_time: 0.0216 memory: 2049 grad_norm: 3.3666 loss: 4.5317 loss_cls: 2.9509 loss_bbox: 1.5809 2024/10/27 04:14:51 - mmengine - INFO - Epoch(train) [64][2500/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:59:43 time: 0.2651 data_time: 0.0214 memory: 2049 grad_norm: 3.3357 loss: 4.6066 loss_cls: 2.9659 loss_bbox: 1.6407 2024/10/27 04:15:04 - mmengine - INFO - Epoch(train) [64][2550/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:59:31 time: 0.2584 data_time: 0.0212 memory: 2049 grad_norm: 3.5403 loss: 4.5292 loss_cls: 2.9299 loss_bbox: 1.5993 2024/10/27 04:15:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:15:19 - mmengine - INFO - Epoch(train) [64][2600/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:59:20 time: 0.2911 data_time: 0.0414 memory: 2049 grad_norm: 3.2947 loss: 4.6358 loss_cls: 2.9881 loss_bbox: 1.6476 2024/10/27 04:15:31 - mmengine - INFO - Epoch(train) [64][2650/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:59:08 time: 0.2514 data_time: 0.0260 memory: 2049 grad_norm: 3.3176 loss: 4.5332 loss_cls: 2.9633 loss_bbox: 1.5699 2024/10/27 04:15:45 - mmengine - INFO - Epoch(train) [64][2700/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:58:56 time: 0.2704 data_time: 0.0228 memory: 2049 grad_norm: 3.0449 loss: 4.6097 loss_cls: 2.9923 loss_bbox: 1.6174 2024/10/27 04:15:58 - mmengine - INFO - Epoch(train) [64][2750/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:58:44 time: 0.2590 data_time: 0.0270 memory: 2049 grad_norm: 3.3201 loss: 4.6494 loss_cls: 3.0132 loss_bbox: 1.6362 2024/10/27 04:16:10 - mmengine - INFO - Epoch(train) [64][2800/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:58:32 time: 0.2517 data_time: 0.0214 memory: 2049 grad_norm: 3.2045 loss: 4.5887 loss_cls: 2.9868 loss_bbox: 1.6020 2024/10/27 04:16:24 - mmengine - INFO - Epoch(train) [64][2850/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:58:21 time: 0.2797 data_time: 0.0265 memory: 2049 grad_norm: 3.2475 loss: 4.5640 loss_cls: 2.9437 loss_bbox: 1.6203 2024/10/27 04:16:37 - mmengine - INFO - Epoch(train) [64][2900/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:58:08 time: 0.2538 data_time: 0.0213 memory: 2049 grad_norm: 3.5801 loss: 4.6111 loss_cls: 3.0317 loss_bbox: 1.5793 2024/10/27 04:16:50 - mmengine - INFO - Epoch(train) [64][2950/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:57:56 time: 0.2619 data_time: 0.0271 memory: 2049 grad_norm: 3.1081 loss: 4.6669 loss_cls: 3.0255 loss_bbox: 1.6414 2024/10/27 04:17:03 - mmengine - INFO - Epoch(train) [64][3000/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:57:45 time: 0.2666 data_time: 0.0215 memory: 2049 grad_norm: 3.5627 loss: 4.5280 loss_cls: 2.9674 loss_bbox: 1.5606 2024/10/27 04:17:17 - mmengine - INFO - Epoch(train) [64][3050/3054] base_lr: 2.3852e-03 lr: 2.3852e-03 eta: 11:57:34 time: 0.2782 data_time: 0.0553 memory: 2049 grad_norm: 3.3871 loss: 4.6106 loss_cls: 3.0254 loss_bbox: 1.5852 2024/10/27 04:17:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:17:18 - mmengine - INFO - Saving checkpoint at 64 epochs 2024/10/27 04:17:33 - mmengine - INFO - Epoch(train) [65][ 50/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:57:20 time: 0.2592 data_time: 0.0354 memory: 2049 grad_norm: 3.1771 loss: 4.6109 loss_cls: 3.0130 loss_bbox: 1.5979 2024/10/27 04:17:45 - mmengine - INFO - Epoch(train) [65][ 100/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:57:07 time: 0.2387 data_time: 0.0281 memory: 2049 grad_norm: 3.2915 loss: 4.5660 loss_cls: 2.9698 loss_bbox: 1.5962 2024/10/27 04:17:57 - mmengine - INFO - Epoch(train) [65][ 150/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:56:53 time: 0.2356 data_time: 0.0224 memory: 2049 grad_norm: 3.3902 loss: 4.5068 loss_cls: 2.9630 loss_bbox: 1.5438 2024/10/27 04:18:09 - mmengine - INFO - Epoch(train) [65][ 200/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:56:40 time: 0.2455 data_time: 0.0228 memory: 2049 grad_norm: 3.1878 loss: 4.7310 loss_cls: 3.0503 loss_bbox: 1.6807 2024/10/27 04:18:21 - mmengine - INFO - Epoch(train) [65][ 250/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:56:27 time: 0.2400 data_time: 0.0244 memory: 2049 grad_norm: 3.4924 loss: 4.5279 loss_cls: 2.9472 loss_bbox: 1.5807 2024/10/27 04:18:33 - mmengine - INFO - Epoch(train) [65][ 300/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:56:13 time: 0.2347 data_time: 0.0243 memory: 2049 grad_norm: 3.2992 loss: 4.5911 loss_cls: 2.9820 loss_bbox: 1.6090 2024/10/27 04:18:45 - mmengine - INFO - Epoch(train) [65][ 350/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:56:00 time: 0.2427 data_time: 0.0307 memory: 2049 grad_norm: 3.1228 loss: 4.5466 loss_cls: 2.9562 loss_bbox: 1.5904 2024/10/27 04:18:57 - mmengine - INFO - Epoch(train) [65][ 400/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:55:47 time: 0.2346 data_time: 0.0231 memory: 2049 grad_norm: 3.0784 loss: 4.7356 loss_cls: 3.0613 loss_bbox: 1.6743 2024/10/27 04:19:09 - mmengine - INFO - Epoch(train) [65][ 450/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:55:34 time: 0.2458 data_time: 0.0311 memory: 2049 grad_norm: 3.2519 loss: 4.6672 loss_cls: 3.0220 loss_bbox: 1.6452 2024/10/27 04:19:21 - mmengine - INFO - Epoch(train) [65][ 500/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:55:21 time: 0.2422 data_time: 0.0319 memory: 2049 grad_norm: 3.3835 loss: 4.5886 loss_cls: 2.9570 loss_bbox: 1.6316 2024/10/27 04:19:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:19:33 - mmengine - INFO - Epoch(train) [65][ 550/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:55:07 time: 0.2346 data_time: 0.0241 memory: 2049 grad_norm: 3.1123 loss: 4.5662 loss_cls: 3.0023 loss_bbox: 1.5639 2024/10/27 04:19:45 - mmengine - INFO - Epoch(train) [65][ 600/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:54:54 time: 0.2403 data_time: 0.0251 memory: 2049 grad_norm: 3.3266 loss: 4.5757 loss_cls: 2.9968 loss_bbox: 1.5789 2024/10/27 04:19:57 - mmengine - INFO - Epoch(train) [65][ 650/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:54:40 time: 0.2333 data_time: 0.0254 memory: 2049 grad_norm: 3.1389 loss: 4.6869 loss_cls: 3.0361 loss_bbox: 1.6508 2024/10/27 04:20:09 - mmengine - INFO - Epoch(train) [65][ 700/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:54:27 time: 0.2476 data_time: 0.0293 memory: 2049 grad_norm: 3.5599 loss: 4.6233 loss_cls: 3.0185 loss_bbox: 1.6048 2024/10/27 04:20:21 - mmengine - INFO - Epoch(train) [65][ 750/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:54:14 time: 0.2399 data_time: 0.0246 memory: 2049 grad_norm: 3.2823 loss: 4.5355 loss_cls: 2.9265 loss_bbox: 1.6090 2024/10/27 04:20:33 - mmengine - INFO - Epoch(train) [65][ 800/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:54:01 time: 0.2407 data_time: 0.0240 memory: 2049 grad_norm: 3.2166 loss: 4.6935 loss_cls: 3.0665 loss_bbox: 1.6271 2024/10/27 04:20:45 - mmengine - INFO - Epoch(train) [65][ 850/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:53:47 time: 0.2346 data_time: 0.0298 memory: 2049 grad_norm: 3.5018 loss: 4.6497 loss_cls: 3.0428 loss_bbox: 1.6069 2024/10/27 04:20:57 - mmengine - INFO - Epoch(train) [65][ 900/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:53:34 time: 0.2370 data_time: 0.0258 memory: 2049 grad_norm: 3.1519 loss: 4.5190 loss_cls: 2.9224 loss_bbox: 1.5966 2024/10/27 04:21:10 - mmengine - INFO - Epoch(train) [65][ 950/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:53:21 time: 0.2524 data_time: 0.0291 memory: 2049 grad_norm: 3.0803 loss: 4.5565 loss_cls: 2.9684 loss_bbox: 1.5881 2024/10/27 04:21:22 - mmengine - INFO - Epoch(train) [65][1000/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:53:08 time: 0.2503 data_time: 0.0238 memory: 2049 grad_norm: 3.3846 loss: 4.6886 loss_cls: 3.0077 loss_bbox: 1.6809 2024/10/27 04:21:34 - mmengine - INFO - Epoch(train) [65][1050/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:52:55 time: 0.2422 data_time: 0.0235 memory: 2049 grad_norm: 3.2392 loss: 4.6095 loss_cls: 2.9842 loss_bbox: 1.6253 2024/10/27 04:21:46 - mmengine - INFO - Epoch(train) [65][1100/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:52:42 time: 0.2395 data_time: 0.0234 memory: 2049 grad_norm: 3.2608 loss: 4.6538 loss_cls: 3.0239 loss_bbox: 1.6299 2024/10/27 04:21:58 - mmengine - INFO - Epoch(train) [65][1150/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:52:29 time: 0.2417 data_time: 0.0233 memory: 2049 grad_norm: 3.4920 loss: 4.6325 loss_cls: 3.0326 loss_bbox: 1.5998 2024/10/27 04:22:12 - mmengine - INFO - Epoch(train) [65][1200/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:52:17 time: 0.2696 data_time: 0.0282 memory: 2049 grad_norm: 3.2607 loss: 4.5545 loss_cls: 3.0092 loss_bbox: 1.5453 2024/10/27 04:22:24 - mmengine - INFO - Epoch(train) [65][1250/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:52:04 time: 0.2468 data_time: 0.0276 memory: 2049 grad_norm: 3.1128 loss: 4.5510 loss_cls: 2.9432 loss_bbox: 1.6078 2024/10/27 04:22:37 - mmengine - INFO - Epoch(train) [65][1300/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:51:52 time: 0.2575 data_time: 0.0235 memory: 2049 grad_norm: 3.2557 loss: 4.5879 loss_cls: 2.9804 loss_bbox: 1.6074 2024/10/27 04:22:49 - mmengine - INFO - Epoch(train) [65][1350/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:51:39 time: 0.2427 data_time: 0.0277 memory: 2049 grad_norm: 3.3389 loss: 4.5349 loss_cls: 3.0090 loss_bbox: 1.5259 2024/10/27 04:23:01 - mmengine - INFO - Epoch(train) [65][1400/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:51:26 time: 0.2445 data_time: 0.0229 memory: 2049 grad_norm: 3.3631 loss: 4.5168 loss_cls: 2.9455 loss_bbox: 1.5714 2024/10/27 04:23:14 - mmengine - INFO - Epoch(train) [65][1450/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:51:13 time: 0.2521 data_time: 0.0282 memory: 2049 grad_norm: 3.2833 loss: 4.6464 loss_cls: 3.0157 loss_bbox: 1.6307 2024/10/27 04:23:26 - mmengine - INFO - Epoch(train) [65][1500/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:51:00 time: 0.2377 data_time: 0.0238 memory: 2049 grad_norm: 3.3287 loss: 4.5748 loss_cls: 2.9498 loss_bbox: 1.6250 2024/10/27 04:23:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:23:40 - mmengine - INFO - Epoch(train) [65][1550/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:50:49 time: 0.2773 data_time: 0.0314 memory: 2049 grad_norm: 3.3309 loss: 4.6802 loss_cls: 3.0227 loss_bbox: 1.6575 2024/10/27 04:23:52 - mmengine - INFO - Epoch(train) [65][1600/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:50:36 time: 0.2457 data_time: 0.0282 memory: 2049 grad_norm: 3.1860 loss: 4.5867 loss_cls: 2.9900 loss_bbox: 1.5967 2024/10/27 04:24:04 - mmengine - INFO - Epoch(train) [65][1650/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:50:23 time: 0.2403 data_time: 0.0228 memory: 2049 grad_norm: 3.5489 loss: 4.6403 loss_cls: 2.9768 loss_bbox: 1.6635 2024/10/27 04:24:18 - mmengine - INFO - Epoch(train) [65][1700/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:50:11 time: 0.2728 data_time: 0.0497 memory: 2049 grad_norm: 3.5077 loss: 4.6403 loss_cls: 2.9996 loss_bbox: 1.6407 2024/10/27 04:24:29 - mmengine - INFO - Epoch(train) [65][1750/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:49:58 time: 0.2290 data_time: 0.0227 memory: 2049 grad_norm: 3.5020 loss: 4.5820 loss_cls: 2.9513 loss_bbox: 1.6307 2024/10/27 04:24:42 - mmengine - INFO - Epoch(train) [65][1800/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:49:46 time: 0.2624 data_time: 0.0239 memory: 2049 grad_norm: 3.1032 loss: 4.6071 loss_cls: 2.9795 loss_bbox: 1.6275 2024/10/27 04:24:54 - mmengine - INFO - Epoch(train) [65][1850/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:49:33 time: 0.2436 data_time: 0.0287 memory: 2049 grad_norm: 3.3999 loss: 4.6290 loss_cls: 3.0293 loss_bbox: 1.5997 2024/10/27 04:25:08 - mmengine - INFO - Epoch(train) [65][1900/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:49:20 time: 0.2606 data_time: 0.0252 memory: 2049 grad_norm: 3.4900 loss: 4.5335 loss_cls: 2.9748 loss_bbox: 1.5587 2024/10/27 04:25:20 - mmengine - INFO - Epoch(train) [65][1950/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:49:08 time: 0.2531 data_time: 0.0220 memory: 2049 grad_norm: 3.3546 loss: 4.6121 loss_cls: 2.9918 loss_bbox: 1.6204 2024/10/27 04:25:33 - mmengine - INFO - Epoch(train) [65][2000/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:48:55 time: 0.2512 data_time: 0.0234 memory: 2049 grad_norm: 3.4857 loss: 4.6832 loss_cls: 3.0474 loss_bbox: 1.6358 2024/10/27 04:25:45 - mmengine - INFO - Epoch(train) [65][2050/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:48:43 time: 0.2491 data_time: 0.0237 memory: 2049 grad_norm: 3.1185 loss: 4.6991 loss_cls: 3.0655 loss_bbox: 1.6336 2024/10/27 04:25:57 - mmengine - INFO - Epoch(train) [65][2100/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:48:29 time: 0.2419 data_time: 0.0228 memory: 2049 grad_norm: 3.1935 loss: 4.6580 loss_cls: 3.0347 loss_bbox: 1.6233 2024/10/27 04:26:09 - mmengine - INFO - Epoch(train) [65][2150/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:48:16 time: 0.2436 data_time: 0.0255 memory: 2049 grad_norm: 3.2978 loss: 4.6804 loss_cls: 3.0329 loss_bbox: 1.6475 2024/10/27 04:26:23 - mmengine - INFO - Epoch(train) [65][2200/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:48:05 time: 0.2673 data_time: 0.0243 memory: 2049 grad_norm: 3.1689 loss: 4.5665 loss_cls: 2.9706 loss_bbox: 1.5959 2024/10/27 04:26:34 - mmengine - INFO - Epoch(train) [65][2250/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:47:51 time: 0.2304 data_time: 0.0254 memory: 2049 grad_norm: 3.1876 loss: 4.5791 loss_cls: 2.9633 loss_bbox: 1.6158 2024/10/27 04:26:47 - mmengine - INFO - Epoch(train) [65][2300/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:47:38 time: 0.2533 data_time: 0.0245 memory: 2049 grad_norm: 3.3714 loss: 4.5778 loss_cls: 3.0076 loss_bbox: 1.5702 2024/10/27 04:27:00 - mmengine - INFO - Epoch(train) [65][2350/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:47:26 time: 0.2506 data_time: 0.0238 memory: 2049 grad_norm: 3.5528 loss: 4.5490 loss_cls: 2.9558 loss_bbox: 1.5931 2024/10/27 04:27:12 - mmengine - INFO - Epoch(train) [65][2400/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:47:13 time: 0.2522 data_time: 0.0250 memory: 2049 grad_norm: 3.3161 loss: 4.5871 loss_cls: 2.9820 loss_bbox: 1.6051 2024/10/27 04:27:25 - mmengine - INFO - Epoch(train) [65][2450/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:47:00 time: 0.2459 data_time: 0.0258 memory: 2049 grad_norm: 3.3933 loss: 4.6015 loss_cls: 3.0022 loss_bbox: 1.5993 2024/10/27 04:27:37 - mmengine - INFO - Epoch(train) [65][2500/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:46:48 time: 0.2523 data_time: 0.0245 memory: 2049 grad_norm: 3.2786 loss: 4.6567 loss_cls: 3.0471 loss_bbox: 1.6096 2024/10/27 04:27:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:27:50 - mmengine - INFO - Epoch(train) [65][2550/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:46:35 time: 0.2499 data_time: 0.0275 memory: 2049 grad_norm: 3.2377 loss: 4.5094 loss_cls: 2.9455 loss_bbox: 1.5638 2024/10/27 04:28:02 - mmengine - INFO - Epoch(train) [65][2600/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:46:23 time: 0.2537 data_time: 0.0328 memory: 2049 grad_norm: 3.3138 loss: 4.7060 loss_cls: 3.0643 loss_bbox: 1.6418 2024/10/27 04:28:18 - mmengine - INFO - Epoch(train) [65][2650/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:46:13 time: 0.3016 data_time: 0.0808 memory: 2049 grad_norm: 3.2790 loss: 4.5987 loss_cls: 3.0262 loss_bbox: 1.5725 2024/10/27 04:28:30 - mmengine - INFO - Epoch(train) [65][2700/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:46:00 time: 0.2436 data_time: 0.0250 memory: 2049 grad_norm: 3.5604 loss: 4.6137 loss_cls: 3.0053 loss_bbox: 1.6084 2024/10/27 04:28:42 - mmengine - INFO - Epoch(train) [65][2750/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:45:47 time: 0.2487 data_time: 0.0244 memory: 2049 grad_norm: 3.2767 loss: 4.6480 loss_cls: 3.0209 loss_bbox: 1.6271 2024/10/27 04:28:54 - mmengine - INFO - Epoch(train) [65][2800/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:45:34 time: 0.2402 data_time: 0.0223 memory: 2049 grad_norm: 3.2088 loss: 4.5766 loss_cls: 2.9859 loss_bbox: 1.5906 2024/10/27 04:29:07 - mmengine - INFO - Epoch(train) [65][2850/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:45:21 time: 0.2504 data_time: 0.0228 memory: 2049 grad_norm: 3.2706 loss: 4.7013 loss_cls: 3.0617 loss_bbox: 1.6396 2024/10/27 04:29:19 - mmengine - INFO - Epoch(train) [65][2900/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:45:08 time: 0.2465 data_time: 0.0235 memory: 2049 grad_norm: 3.3391 loss: 4.6698 loss_cls: 3.0354 loss_bbox: 1.6344 2024/10/27 04:29:31 - mmengine - INFO - Epoch(train) [65][2950/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:44:55 time: 0.2392 data_time: 0.0225 memory: 2049 grad_norm: 3.2455 loss: 4.6325 loss_cls: 3.0255 loss_bbox: 1.6070 2024/10/27 04:29:43 - mmengine - INFO - Epoch(train) [65][3000/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:44:42 time: 0.2481 data_time: 0.0230 memory: 2049 grad_norm: 3.3649 loss: 4.5065 loss_cls: 2.9516 loss_bbox: 1.5550 2024/10/27 04:29:55 - mmengine - INFO - Epoch(train) [65][3050/3054] base_lr: 2.3738e-03 lr: 2.3738e-03 eta: 11:44:29 time: 0.2365 data_time: 0.0233 memory: 2049 grad_norm: 3.6592 loss: 4.6555 loss_cls: 3.0257 loss_bbox: 1.6298 2024/10/27 04:29:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:29:56 - mmengine - INFO - Saving checkpoint at 65 epochs 2024/10/27 04:30:00 - mmengine - INFO - Epoch(val) [65][50/79] eta: 0:00:01 time: 0.0403 data_time: 0.0048 memory: 2049 2024/10/27 04:30:16 - mmengine - INFO - Evaluating bbox... 2024/10/27 04:31:14 - mmengine - INFO - bbox_mAP_copypaste: 0.172 0.301 0.172 0.013 0.153 0.342 2024/10/27 04:31:15 - mmengine - INFO - Epoch(val) [65][79/79] coco/bbox_mAP: 0.1720 coco/bbox_mAP_50: 0.3010 coco/bbox_mAP_75: 0.1720 coco/bbox_mAP_s: 0.0130 coco/bbox_mAP_m: 0.1530 coco/bbox_mAP_l: 0.3420 data_time: 0.0043 time: 0.0394 2024/10/27 04:31:28 - mmengine - INFO - Epoch(train) [66][ 50/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:44:15 time: 0.2448 data_time: 0.0351 memory: 2049 grad_norm: 3.5275 loss: 4.5088 loss_cls: 2.9269 loss_bbox: 1.5819 2024/10/27 04:31:40 - mmengine - INFO - Epoch(train) [66][ 100/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:44:01 time: 0.2428 data_time: 0.0241 memory: 2049 grad_norm: 3.4702 loss: 4.5418 loss_cls: 2.9885 loss_bbox: 1.5534 2024/10/27 04:31:52 - mmengine - INFO - Epoch(train) [66][ 150/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:43:48 time: 0.2407 data_time: 0.0237 memory: 2049 grad_norm: 3.1716 loss: 4.5243 loss_cls: 2.9368 loss_bbox: 1.5875 2024/10/27 04:32:04 - mmengine - INFO - Epoch(train) [66][ 200/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:43:35 time: 0.2421 data_time: 0.0234 memory: 2049 grad_norm: 3.3978 loss: 4.7231 loss_cls: 3.0239 loss_bbox: 1.6992 2024/10/27 04:32:18 - mmengine - INFO - Epoch(train) [66][ 250/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:43:25 time: 0.2906 data_time: 0.0655 memory: 2049 grad_norm: 3.3880 loss: 4.6103 loss_cls: 2.9771 loss_bbox: 1.6332 2024/10/27 04:32:30 - mmengine - INFO - Epoch(train) [66][ 300/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:43:11 time: 0.2339 data_time: 0.0232 memory: 2049 grad_norm: 3.2204 loss: 4.5674 loss_cls: 3.0066 loss_bbox: 1.5609 2024/10/27 04:32:43 - mmengine - INFO - Epoch(train) [66][ 350/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:42:58 time: 0.2484 data_time: 0.0241 memory: 2049 grad_norm: 3.6577 loss: 4.6586 loss_cls: 3.0116 loss_bbox: 1.6471 2024/10/27 04:32:55 - mmengine - INFO - Epoch(train) [66][ 400/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:42:45 time: 0.2413 data_time: 0.0265 memory: 2049 grad_norm: 3.1054 loss: 4.5873 loss_cls: 2.9806 loss_bbox: 1.6067 2024/10/27 04:33:06 - mmengine - INFO - Epoch(train) [66][ 450/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:42:32 time: 0.2369 data_time: 0.0265 memory: 2049 grad_norm: 3.4332 loss: 4.6521 loss_cls: 3.0328 loss_bbox: 1.6193 2024/10/27 04:33:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:33:19 - mmengine - INFO - Epoch(train) [66][ 500/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:42:19 time: 0.2489 data_time: 0.0340 memory: 2049 grad_norm: 3.3516 loss: 4.5910 loss_cls: 2.9660 loss_bbox: 1.6250 2024/10/27 04:33:31 - mmengine - INFO - Epoch(train) [66][ 550/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:42:06 time: 0.2375 data_time: 0.0285 memory: 2049 grad_norm: 3.3195 loss: 4.6862 loss_cls: 3.0330 loss_bbox: 1.6532 2024/10/27 04:33:43 - mmengine - INFO - Epoch(train) [66][ 600/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:41:53 time: 0.2459 data_time: 0.0266 memory: 2049 grad_norm: 3.4131 loss: 4.5202 loss_cls: 2.9840 loss_bbox: 1.5362 2024/10/27 04:33:55 - mmengine - INFO - Epoch(train) [66][ 650/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:41:39 time: 0.2371 data_time: 0.0250 memory: 2049 grad_norm: 2.9299 loss: 4.5708 loss_cls: 2.9955 loss_bbox: 1.5753 2024/10/27 04:34:07 - mmengine - INFO - Epoch(train) [66][ 700/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:41:26 time: 0.2372 data_time: 0.0235 memory: 2049 grad_norm: 3.3498 loss: 4.6835 loss_cls: 3.0349 loss_bbox: 1.6486 2024/10/27 04:34:19 - mmengine - INFO - Epoch(train) [66][ 750/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:41:13 time: 0.2473 data_time: 0.0286 memory: 2049 grad_norm: 3.3191 loss: 4.5373 loss_cls: 2.9409 loss_bbox: 1.5964 2024/10/27 04:34:31 - mmengine - INFO - Epoch(train) [66][ 800/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:41:00 time: 0.2413 data_time: 0.0235 memory: 2049 grad_norm: 3.6658 loss: 4.6102 loss_cls: 3.0247 loss_bbox: 1.5855 2024/10/27 04:34:44 - mmengine - INFO - Epoch(train) [66][ 850/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:40:47 time: 0.2439 data_time: 0.0233 memory: 2049 grad_norm: 3.2937 loss: 4.6760 loss_cls: 3.0617 loss_bbox: 1.6143 2024/10/27 04:34:56 - mmengine - INFO - Epoch(train) [66][ 900/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:40:34 time: 0.2485 data_time: 0.0281 memory: 2049 grad_norm: 3.2013 loss: 4.5791 loss_cls: 2.9871 loss_bbox: 1.5920 2024/10/27 04:35:08 - mmengine - INFO - Epoch(train) [66][ 950/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:40:20 time: 0.2324 data_time: 0.0237 memory: 2049 grad_norm: 3.5138 loss: 4.6529 loss_cls: 3.0533 loss_bbox: 1.5996 2024/10/27 04:35:20 - mmengine - INFO - Epoch(train) [66][1000/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:40:08 time: 0.2462 data_time: 0.0250 memory: 2049 grad_norm: 3.2122 loss: 4.6595 loss_cls: 3.0312 loss_bbox: 1.6284 2024/10/27 04:35:32 - mmengine - INFO - Epoch(train) [66][1050/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:39:55 time: 0.2451 data_time: 0.0277 memory: 2049 grad_norm: 3.6827 loss: 4.6335 loss_cls: 3.0078 loss_bbox: 1.6257 2024/10/27 04:35:44 - mmengine - INFO - Epoch(train) [66][1100/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:39:41 time: 0.2427 data_time: 0.0245 memory: 2049 grad_norm: 3.2501 loss: 4.5804 loss_cls: 2.9668 loss_bbox: 1.6136 2024/10/27 04:35:56 - mmengine - INFO - Epoch(train) [66][1150/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:39:28 time: 0.2393 data_time: 0.0236 memory: 2049 grad_norm: 3.2336 loss: 4.5272 loss_cls: 2.9507 loss_bbox: 1.5764 2024/10/27 04:36:08 - mmengine - INFO - Epoch(train) [66][1200/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:39:15 time: 0.2429 data_time: 0.0252 memory: 2049 grad_norm: 3.4170 loss: 4.6363 loss_cls: 2.9687 loss_bbox: 1.6675 2024/10/27 04:36:20 - mmengine - INFO - Epoch(train) [66][1250/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:39:02 time: 0.2374 data_time: 0.0241 memory: 2049 grad_norm: 3.3123 loss: 4.5630 loss_cls: 2.9684 loss_bbox: 1.5945 2024/10/27 04:36:33 - mmengine - INFO - Epoch(train) [66][1300/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:38:49 time: 0.2489 data_time: 0.0242 memory: 2049 grad_norm: 3.7377 loss: 4.4935 loss_cls: 2.9642 loss_bbox: 1.5293 2024/10/27 04:36:45 - mmengine - INFO - Epoch(train) [66][1350/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:38:36 time: 0.2433 data_time: 0.0239 memory: 2049 grad_norm: 3.4046 loss: 4.5965 loss_cls: 3.0058 loss_bbox: 1.5907 2024/10/27 04:36:57 - mmengine - INFO - Epoch(train) [66][1400/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:38:23 time: 0.2442 data_time: 0.0238 memory: 2049 grad_norm: 3.3715 loss: 4.6906 loss_cls: 3.0952 loss_bbox: 1.5954 2024/10/27 04:37:09 - mmengine - INFO - Epoch(train) [66][1450/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:38:10 time: 0.2373 data_time: 0.0242 memory: 2049 grad_norm: 3.3885 loss: 4.6123 loss_cls: 2.9946 loss_bbox: 1.6177 2024/10/27 04:37:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:37:21 - mmengine - INFO - Epoch(train) [66][1500/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:37:57 time: 0.2468 data_time: 0.0233 memory: 2049 grad_norm: 3.2981 loss: 4.6184 loss_cls: 2.9984 loss_bbox: 1.6201 2024/10/27 04:37:34 - mmengine - INFO - Epoch(train) [66][1550/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:37:44 time: 0.2474 data_time: 0.0268 memory: 2049 grad_norm: 3.3934 loss: 4.5890 loss_cls: 2.9552 loss_bbox: 1.6337 2024/10/27 04:37:46 - mmengine - INFO - Epoch(train) [66][1600/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:37:31 time: 0.2519 data_time: 0.0236 memory: 2049 grad_norm: 3.0693 loss: 4.6160 loss_cls: 3.0156 loss_bbox: 1.6004 2024/10/27 04:37:58 - mmengine - INFO - Epoch(train) [66][1650/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:37:18 time: 0.2417 data_time: 0.0256 memory: 2049 grad_norm: 3.4292 loss: 4.6931 loss_cls: 3.0278 loss_bbox: 1.6653 2024/10/27 04:38:11 - mmengine - INFO - Epoch(train) [66][1700/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:37:05 time: 0.2439 data_time: 0.0241 memory: 2049 grad_norm: 3.2798 loss: 4.5527 loss_cls: 2.9799 loss_bbox: 1.5728 2024/10/27 04:38:23 - mmengine - INFO - Epoch(train) [66][1750/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:36:52 time: 0.2406 data_time: 0.0238 memory: 2049 grad_norm: 3.2612 loss: 4.6580 loss_cls: 3.0353 loss_bbox: 1.6226 2024/10/27 04:38:35 - mmengine - INFO - Epoch(train) [66][1800/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:36:39 time: 0.2521 data_time: 0.0301 memory: 2049 grad_norm: 3.2455 loss: 4.5555 loss_cls: 2.9907 loss_bbox: 1.5647 2024/10/27 04:38:48 - mmengine - INFO - Epoch(train) [66][1850/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:36:27 time: 0.2470 data_time: 0.0249 memory: 2049 grad_norm: 3.1366 loss: 4.7242 loss_cls: 3.0481 loss_bbox: 1.6761 2024/10/27 04:39:00 - mmengine - INFO - Epoch(train) [66][1900/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:36:14 time: 0.2475 data_time: 0.0235 memory: 2049 grad_norm: 3.3308 loss: 4.6049 loss_cls: 3.0107 loss_bbox: 1.5941 2024/10/27 04:39:12 - mmengine - INFO - Epoch(train) [66][1950/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:36:01 time: 0.2458 data_time: 0.0241 memory: 2049 grad_norm: 3.4225 loss: 4.5992 loss_cls: 2.9928 loss_bbox: 1.6063 2024/10/27 04:39:25 - mmengine - INFO - Epoch(train) [66][2000/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:35:48 time: 0.2507 data_time: 0.0236 memory: 2049 grad_norm: 3.1496 loss: 4.5469 loss_cls: 2.9475 loss_bbox: 1.5994 2024/10/27 04:39:37 - mmengine - INFO - Epoch(train) [66][2050/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:35:35 time: 0.2342 data_time: 0.0238 memory: 2049 grad_norm: 3.5164 loss: 4.5713 loss_cls: 2.9914 loss_bbox: 1.5799 2024/10/27 04:39:49 - mmengine - INFO - Epoch(train) [66][2100/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:35:22 time: 0.2499 data_time: 0.0284 memory: 2049 grad_norm: 3.2904 loss: 4.6729 loss_cls: 3.0484 loss_bbox: 1.6244 2024/10/27 04:40:01 - mmengine - INFO - Epoch(train) [66][2150/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:35:09 time: 0.2441 data_time: 0.0251 memory: 2049 grad_norm: 3.2487 loss: 4.5861 loss_cls: 2.9526 loss_bbox: 1.6336 2024/10/27 04:40:14 - mmengine - INFO - Epoch(train) [66][2200/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:34:56 time: 0.2497 data_time: 0.0243 memory: 2049 grad_norm: 3.3190 loss: 4.6343 loss_cls: 3.0097 loss_bbox: 1.6246 2024/10/27 04:40:26 - mmengine - INFO - Epoch(train) [66][2250/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:34:44 time: 0.2523 data_time: 0.0246 memory: 2049 grad_norm: 3.3065 loss: 4.5104 loss_cls: 2.9764 loss_bbox: 1.5340 2024/10/27 04:40:39 - mmengine - INFO - Epoch(train) [66][2300/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:34:31 time: 0.2476 data_time: 0.0235 memory: 2049 grad_norm: 3.2885 loss: 4.5699 loss_cls: 3.0224 loss_bbox: 1.5475 2024/10/27 04:40:51 - mmengine - INFO - Epoch(train) [66][2350/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:34:18 time: 0.2435 data_time: 0.0236 memory: 2049 grad_norm: 3.2844 loss: 4.6575 loss_cls: 3.0091 loss_bbox: 1.6484 2024/10/27 04:41:03 - mmengine - INFO - Epoch(train) [66][2400/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:34:05 time: 0.2452 data_time: 0.0240 memory: 2049 grad_norm: 3.2848 loss: 4.6539 loss_cls: 3.0135 loss_bbox: 1.6404 2024/10/27 04:41:18 - mmengine - INFO - Epoch(train) [66][2450/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:33:54 time: 0.2856 data_time: 0.0619 memory: 2049 grad_norm: 3.3184 loss: 4.6151 loss_cls: 2.9721 loss_bbox: 1.6430 2024/10/27 04:41:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:41:30 - mmengine - INFO - Epoch(train) [66][2500/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:33:42 time: 0.2578 data_time: 0.0271 memory: 2049 grad_norm: 3.2850 loss: 4.6661 loss_cls: 3.0303 loss_bbox: 1.6358 2024/10/27 04:41:43 - mmengine - INFO - Epoch(train) [66][2550/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:33:29 time: 0.2441 data_time: 0.0252 memory: 2049 grad_norm: 3.2597 loss: 4.5701 loss_cls: 2.9719 loss_bbox: 1.5982 2024/10/27 04:41:56 - mmengine - INFO - Epoch(train) [66][2600/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:33:17 time: 0.2575 data_time: 0.0259 memory: 2049 grad_norm: 3.6166 loss: 4.5714 loss_cls: 2.9789 loss_bbox: 1.5925 2024/10/27 04:42:08 - mmengine - INFO - Epoch(train) [66][2650/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:33:04 time: 0.2497 data_time: 0.0262 memory: 2049 grad_norm: 3.2611 loss: 4.6702 loss_cls: 3.0356 loss_bbox: 1.6346 2024/10/27 04:42:21 - mmengine - INFO - Epoch(train) [66][2700/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:32:52 time: 0.2566 data_time: 0.0290 memory: 2049 grad_norm: 3.3057 loss: 4.6974 loss_cls: 3.0392 loss_bbox: 1.6582 2024/10/27 04:42:34 - mmengine - INFO - Epoch(train) [66][2750/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:32:40 time: 0.2555 data_time: 0.0250 memory: 2049 grad_norm: 3.3540 loss: 4.5771 loss_cls: 2.9730 loss_bbox: 1.6041 2024/10/27 04:42:46 - mmengine - INFO - Epoch(train) [66][2800/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:32:27 time: 0.2527 data_time: 0.0280 memory: 2049 grad_norm: 3.1462 loss: 4.6120 loss_cls: 2.9990 loss_bbox: 1.6130 2024/10/27 04:43:00 - mmengine - INFO - Epoch(train) [66][2850/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:32:15 time: 0.2640 data_time: 0.0258 memory: 2049 grad_norm: 3.2429 loss: 4.6381 loss_cls: 2.9365 loss_bbox: 1.7015 2024/10/27 04:43:12 - mmengine - INFO - Epoch(train) [66][2900/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:32:03 time: 0.2501 data_time: 0.0253 memory: 2049 grad_norm: 3.3948 loss: 4.6662 loss_cls: 3.0315 loss_bbox: 1.6346 2024/10/27 04:43:25 - mmengine - INFO - Epoch(train) [66][2950/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:31:51 time: 0.2623 data_time: 0.0307 memory: 2049 grad_norm: 3.3963 loss: 4.6238 loss_cls: 2.9867 loss_bbox: 1.6371 2024/10/27 04:43:39 - mmengine - INFO - Epoch(train) [66][3000/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:31:40 time: 0.2797 data_time: 0.0387 memory: 2049 grad_norm: 3.4943 loss: 4.4759 loss_cls: 2.9057 loss_bbox: 1.5702 2024/10/27 04:43:52 - mmengine - INFO - Epoch(train) [66][3050/3054] base_lr: 2.3591e-03 lr: 2.3591e-03 eta: 11:31:27 time: 0.2549 data_time: 0.0238 memory: 2049 grad_norm: 3.4195 loss: 4.5210 loss_cls: 2.9407 loss_bbox: 1.5803 2024/10/27 04:43:53 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:43:53 - mmengine - INFO - Saving checkpoint at 66 epochs 2024/10/27 04:44:08 - mmengine - INFO - Epoch(train) [67][ 50/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:31:14 time: 0.2563 data_time: 0.0385 memory: 2049 grad_norm: 3.0611 loss: 4.5775 loss_cls: 2.9815 loss_bbox: 1.5960 2024/10/27 04:44:20 - mmengine - INFO - Epoch(train) [67][ 100/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:31:00 time: 0.2361 data_time: 0.0354 memory: 2049 grad_norm: 3.2699 loss: 4.6056 loss_cls: 2.9948 loss_bbox: 1.6108 2024/10/27 04:44:32 - mmengine - INFO - Epoch(train) [67][ 150/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:30:47 time: 0.2351 data_time: 0.0260 memory: 2049 grad_norm: 3.2000 loss: 4.5912 loss_cls: 2.9982 loss_bbox: 1.5930 2024/10/27 04:44:44 - mmengine - INFO - Epoch(train) [67][ 200/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:30:34 time: 0.2505 data_time: 0.0267 memory: 2049 grad_norm: 3.3609 loss: 4.6148 loss_cls: 2.9589 loss_bbox: 1.6559 2024/10/27 04:44:56 - mmengine - INFO - Epoch(train) [67][ 250/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:30:21 time: 0.2379 data_time: 0.0260 memory: 2049 grad_norm: 3.2817 loss: 4.6301 loss_cls: 3.0169 loss_bbox: 1.6132 2024/10/27 04:45:08 - mmengine - INFO - Epoch(train) [67][ 300/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:30:07 time: 0.2328 data_time: 0.0266 memory: 2049 grad_norm: 3.4133 loss: 4.5718 loss_cls: 2.9806 loss_bbox: 1.5913 2024/10/27 04:45:20 - mmengine - INFO - Epoch(train) [67][ 350/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:29:54 time: 0.2457 data_time: 0.0274 memory: 2049 grad_norm: 3.2794 loss: 4.6115 loss_cls: 2.9708 loss_bbox: 1.6407 2024/10/27 04:45:33 - mmengine - INFO - Epoch(train) [67][ 400/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:29:42 time: 0.2590 data_time: 0.0256 memory: 2049 grad_norm: 3.5664 loss: 4.5420 loss_cls: 2.9117 loss_bbox: 1.6304 2024/10/27 04:45:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:45:45 - mmengine - INFO - Epoch(train) [67][ 450/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:29:29 time: 0.2455 data_time: 0.0332 memory: 2049 grad_norm: 3.4726 loss: 4.5298 loss_cls: 2.9868 loss_bbox: 1.5430 2024/10/27 04:45:58 - mmengine - INFO - Epoch(train) [67][ 500/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:29:17 time: 0.2543 data_time: 0.0255 memory: 2049 grad_norm: 3.5038 loss: 4.5915 loss_cls: 3.0288 loss_bbox: 1.5627 2024/10/27 04:46:10 - mmengine - INFO - Epoch(train) [67][ 550/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:29:04 time: 0.2450 data_time: 0.0251 memory: 2049 grad_norm: 3.3838 loss: 4.6052 loss_cls: 2.9825 loss_bbox: 1.6227 2024/10/27 04:46:22 - mmengine - INFO - Epoch(train) [67][ 600/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:28:51 time: 0.2433 data_time: 0.0254 memory: 2049 grad_norm: 3.2662 loss: 4.4424 loss_cls: 2.9129 loss_bbox: 1.5295 2024/10/27 04:46:35 - mmengine - INFO - Epoch(train) [67][ 650/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:28:38 time: 0.2543 data_time: 0.0249 memory: 2049 grad_norm: 3.2994 loss: 4.5456 loss_cls: 2.9980 loss_bbox: 1.5476 2024/10/27 04:46:47 - mmengine - INFO - Epoch(train) [67][ 700/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:28:25 time: 0.2384 data_time: 0.0221 memory: 2049 grad_norm: 3.4056 loss: 4.6754 loss_cls: 3.0348 loss_bbox: 1.6405 2024/10/27 04:46:59 - mmengine - INFO - Epoch(train) [67][ 750/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:28:12 time: 0.2468 data_time: 0.0232 memory: 2049 grad_norm: 3.3555 loss: 4.7317 loss_cls: 3.0603 loss_bbox: 1.6714 2024/10/27 04:47:11 - mmengine - INFO - Epoch(train) [67][ 800/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:27:59 time: 0.2353 data_time: 0.0225 memory: 2049 grad_norm: 3.3759 loss: 4.6137 loss_cls: 2.9806 loss_bbox: 1.6331 2024/10/27 04:47:23 - mmengine - INFO - Epoch(train) [67][ 850/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:27:45 time: 0.2400 data_time: 0.0297 memory: 2049 grad_norm: 3.2534 loss: 4.6136 loss_cls: 3.0139 loss_bbox: 1.5997 2024/10/27 04:47:36 - mmengine - INFO - Epoch(train) [67][ 900/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:27:33 time: 0.2581 data_time: 0.0220 memory: 2049 grad_norm: 3.1744 loss: 4.6304 loss_cls: 2.9904 loss_bbox: 1.6400 2024/10/27 04:47:48 - mmengine - INFO - Epoch(train) [67][ 950/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:27:20 time: 0.2362 data_time: 0.0235 memory: 2049 grad_norm: 3.4212 loss: 4.6393 loss_cls: 3.0231 loss_bbox: 1.6162 2024/10/27 04:48:01 - mmengine - INFO - Epoch(train) [67][1000/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:27:07 time: 0.2521 data_time: 0.0228 memory: 2049 grad_norm: 3.3458 loss: 4.5676 loss_cls: 2.9619 loss_bbox: 1.6057 2024/10/27 04:48:13 - mmengine - INFO - Epoch(train) [67][1050/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:26:54 time: 0.2377 data_time: 0.0225 memory: 2049 grad_norm: 3.3172 loss: 4.6143 loss_cls: 2.9896 loss_bbox: 1.6246 2024/10/27 04:48:25 - mmengine - INFO - Epoch(train) [67][1100/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:26:41 time: 0.2400 data_time: 0.0294 memory: 2049 grad_norm: 3.4610 loss: 4.5881 loss_cls: 3.0267 loss_bbox: 1.5614 2024/10/27 04:48:38 - mmengine - INFO - Epoch(train) [67][1150/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:26:29 time: 0.2619 data_time: 0.0221 memory: 2049 grad_norm: 3.5125 loss: 4.5664 loss_cls: 2.9574 loss_bbox: 1.6090 2024/10/27 04:48:49 - mmengine - INFO - Epoch(train) [67][1200/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:26:15 time: 0.2270 data_time: 0.0225 memory: 2049 grad_norm: 3.2371 loss: 4.5967 loss_cls: 2.9795 loss_bbox: 1.6173 2024/10/27 04:49:02 - mmengine - INFO - Epoch(train) [67][1250/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:26:03 time: 0.2599 data_time: 0.0280 memory: 2049 grad_norm: 3.2937 loss: 4.5449 loss_cls: 2.9799 loss_bbox: 1.5651 2024/10/27 04:49:17 - mmengine - INFO - Epoch(train) [67][1300/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:25:53 time: 0.2979 data_time: 0.0886 memory: 2049 grad_norm: 3.3710 loss: 4.5330 loss_cls: 2.9595 loss_bbox: 1.5735 2024/10/27 04:49:29 - mmengine - INFO - Epoch(train) [67][1350/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:25:40 time: 0.2420 data_time: 0.0220 memory: 2049 grad_norm: 3.3639 loss: 4.4867 loss_cls: 2.9343 loss_bbox: 1.5523 2024/10/27 04:49:41 - mmengine - INFO - Epoch(train) [67][1400/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:25:27 time: 0.2462 data_time: 0.0219 memory: 2049 grad_norm: 3.1002 loss: 4.5845 loss_cls: 2.9811 loss_bbox: 1.6035 2024/10/27 04:49:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:49:53 - mmengine - INFO - Epoch(train) [67][1450/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:25:13 time: 0.2352 data_time: 0.0215 memory: 2049 grad_norm: 3.5643 loss: 4.6604 loss_cls: 3.0278 loss_bbox: 1.6326 2024/10/27 04:50:07 - mmengine - INFO - Epoch(train) [67][1500/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:25:02 time: 0.2705 data_time: 0.0291 memory: 2049 grad_norm: 3.4483 loss: 4.5623 loss_cls: 2.9732 loss_bbox: 1.5891 2024/10/27 04:50:19 - mmengine - INFO - Epoch(train) [67][1550/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:24:49 time: 0.2441 data_time: 0.0236 memory: 2049 grad_norm: 3.4801 loss: 4.6253 loss_cls: 3.0075 loss_bbox: 1.6178 2024/10/27 04:50:32 - mmengine - INFO - Epoch(train) [67][1600/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:24:37 time: 0.2600 data_time: 0.0279 memory: 2049 grad_norm: 3.2468 loss: 4.5236 loss_cls: 2.9668 loss_bbox: 1.5569 2024/10/27 04:50:45 - mmengine - INFO - Epoch(train) [67][1650/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:24:25 time: 0.2667 data_time: 0.0241 memory: 2049 grad_norm: 3.4523 loss: 4.5560 loss_cls: 2.9615 loss_bbox: 1.5946 2024/10/27 04:50:57 - mmengine - INFO - Epoch(train) [67][1700/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:24:12 time: 0.2420 data_time: 0.0219 memory: 2049 grad_norm: 3.2035 loss: 4.6781 loss_cls: 3.0259 loss_bbox: 1.6522 2024/10/27 04:51:11 - mmengine - INFO - Epoch(train) [67][1750/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:24:00 time: 0.2710 data_time: 0.0248 memory: 2049 grad_norm: 3.4282 loss: 4.5847 loss_cls: 2.9949 loss_bbox: 1.5898 2024/10/27 04:51:23 - mmengine - INFO - Epoch(train) [67][1800/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:23:48 time: 0.2493 data_time: 0.0274 memory: 2049 grad_norm: 3.4841 loss: 4.6150 loss_cls: 2.9617 loss_bbox: 1.6533 2024/10/27 04:51:36 - mmengine - INFO - Epoch(train) [67][1850/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:23:35 time: 0.2596 data_time: 0.0226 memory: 2049 grad_norm: 3.4704 loss: 4.6541 loss_cls: 2.9979 loss_bbox: 1.6561 2024/10/27 04:51:49 - mmengine - INFO - Epoch(train) [67][1900/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:23:23 time: 0.2635 data_time: 0.0204 memory: 2049 grad_norm: 3.4145 loss: 4.5938 loss_cls: 2.9720 loss_bbox: 1.6218 2024/10/27 04:52:02 - mmengine - INFO - Epoch(train) [67][1950/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:23:11 time: 0.2467 data_time: 0.0289 memory: 2049 grad_norm: 3.2691 loss: 4.6329 loss_cls: 3.0270 loss_bbox: 1.6059 2024/10/27 04:52:19 - mmengine - INFO - Epoch(train) [67][2000/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:23:03 time: 0.3378 data_time: 0.0913 memory: 2049 grad_norm: 3.3364 loss: 4.6308 loss_cls: 2.9612 loss_bbox: 1.6696 2024/10/27 04:52:30 - mmengine - INFO - Epoch(train) [67][2050/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:22:49 time: 0.2320 data_time: 0.0225 memory: 2049 grad_norm: 3.4139 loss: 4.6314 loss_cls: 2.9914 loss_bbox: 1.6401 2024/10/27 04:52:43 - mmengine - INFO - Epoch(train) [67][2100/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:22:36 time: 0.2442 data_time: 0.0246 memory: 2049 grad_norm: 3.3121 loss: 4.6001 loss_cls: 2.9785 loss_bbox: 1.6216 2024/10/27 04:52:56 - mmengine - INFO - Epoch(train) [67][2150/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:22:25 time: 0.2698 data_time: 0.0292 memory: 2049 grad_norm: 3.1334 loss: 4.6715 loss_cls: 2.9940 loss_bbox: 1.6775 2024/10/27 04:53:08 - mmengine - INFO - Epoch(train) [67][2200/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:22:11 time: 0.2407 data_time: 0.0227 memory: 2049 grad_norm: 2.9718 loss: 4.7387 loss_cls: 3.0332 loss_bbox: 1.7056 2024/10/27 04:53:22 - mmengine - INFO - Epoch(train) [67][2250/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:22:00 time: 0.2723 data_time: 0.0248 memory: 2049 grad_norm: 3.5124 loss: 4.6456 loss_cls: 3.0257 loss_bbox: 1.6198 2024/10/27 04:53:34 - mmengine - INFO - Epoch(train) [67][2300/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:21:47 time: 0.2390 data_time: 0.0292 memory: 2049 grad_norm: 3.4158 loss: 4.6525 loss_cls: 3.0190 loss_bbox: 1.6335 2024/10/27 04:53:46 - mmengine - INFO - Epoch(train) [67][2350/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:21:34 time: 0.2559 data_time: 0.0225 memory: 2049 grad_norm: 3.1444 loss: 4.6378 loss_cls: 3.0178 loss_bbox: 1.6200 2024/10/27 04:54:00 - mmengine - INFO - Epoch(train) [67][2400/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:21:22 time: 0.2626 data_time: 0.0224 memory: 2049 grad_norm: 3.2924 loss: 4.6131 loss_cls: 2.9966 loss_bbox: 1.6165 2024/10/27 04:54:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:54:12 - mmengine - INFO - Epoch(train) [67][2450/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:21:10 time: 0.2569 data_time: 0.0258 memory: 2049 grad_norm: 3.2612 loss: 4.6679 loss_cls: 3.0505 loss_bbox: 1.6174 2024/10/27 04:54:26 - mmengine - INFO - Epoch(train) [67][2500/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:20:58 time: 0.2673 data_time: 0.0216 memory: 2049 grad_norm: 3.5717 loss: 4.6152 loss_cls: 2.9766 loss_bbox: 1.6386 2024/10/27 04:54:38 - mmengine - INFO - Epoch(train) [67][2550/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:20:45 time: 0.2366 data_time: 0.0227 memory: 2049 grad_norm: 3.5571 loss: 4.5255 loss_cls: 2.9553 loss_bbox: 1.5701 2024/10/27 04:54:50 - mmengine - INFO - Epoch(train) [67][2600/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:20:32 time: 0.2485 data_time: 0.0228 memory: 2049 grad_norm: 3.6268 loss: 4.7168 loss_cls: 3.0500 loss_bbox: 1.6668 2024/10/27 04:55:03 - mmengine - INFO - Epoch(train) [67][2650/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:20:20 time: 0.2598 data_time: 0.0230 memory: 2049 grad_norm: 3.3501 loss: 4.6484 loss_cls: 3.0301 loss_bbox: 1.6183 2024/10/27 04:55:17 - mmengine - INFO - Epoch(train) [67][2700/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:20:09 time: 0.2708 data_time: 0.0607 memory: 2049 grad_norm: 3.4493 loss: 4.5858 loss_cls: 2.9811 loss_bbox: 1.6047 2024/10/27 04:55:31 - mmengine - INFO - Epoch(train) [67][2750/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:19:57 time: 0.2786 data_time: 0.0316 memory: 2049 grad_norm: 3.4455 loss: 4.6074 loss_cls: 3.0017 loss_bbox: 1.6057 2024/10/27 04:55:42 - mmengine - INFO - Epoch(train) [67][2800/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:19:44 time: 0.2364 data_time: 0.0237 memory: 2049 grad_norm: 3.3767 loss: 4.4561 loss_cls: 2.8830 loss_bbox: 1.5731 2024/10/27 04:55:55 - mmengine - INFO - Epoch(train) [67][2850/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:19:31 time: 0.2515 data_time: 0.0235 memory: 2049 grad_norm: 3.2184 loss: 4.5811 loss_cls: 2.9974 loss_bbox: 1.5837 2024/10/27 04:56:07 - mmengine - INFO - Epoch(train) [67][2900/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:19:19 time: 0.2496 data_time: 0.0298 memory: 2049 grad_norm: 3.1910 loss: 4.5739 loss_cls: 2.9769 loss_bbox: 1.5970 2024/10/27 04:56:19 - mmengine - INFO - Epoch(train) [67][2950/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:19:05 time: 0.2368 data_time: 0.0252 memory: 2049 grad_norm: 3.4321 loss: 4.5928 loss_cls: 2.9945 loss_bbox: 1.5982 2024/10/27 04:56:33 - mmengine - INFO - Epoch(train) [67][3000/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:18:54 time: 0.2717 data_time: 0.0285 memory: 2049 grad_norm: 3.3467 loss: 4.6464 loss_cls: 3.0109 loss_bbox: 1.6355 2024/10/27 04:56:44 - mmengine - INFO - Epoch(train) [67][3050/3054] base_lr: 2.3413e-03 lr: 2.3413e-03 eta: 11:18:40 time: 0.2306 data_time: 0.0223 memory: 2049 grad_norm: 3.3127 loss: 4.6435 loss_cls: 2.9888 loss_bbox: 1.6546 2024/10/27 04:56:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:56:45 - mmengine - INFO - Saving checkpoint at 67 epochs 2024/10/27 04:57:00 - mmengine - INFO - Epoch(train) [68][ 50/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:18:27 time: 0.2551 data_time: 0.0373 memory: 2049 grad_norm: 3.3511 loss: 4.5007 loss_cls: 2.9021 loss_bbox: 1.5986 2024/10/27 04:57:12 - mmengine - INFO - Epoch(train) [68][ 100/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:18:13 time: 0.2380 data_time: 0.0250 memory: 2049 grad_norm: 3.4820 loss: 4.6669 loss_cls: 3.0264 loss_bbox: 1.6405 2024/10/27 04:57:24 - mmengine - INFO - Epoch(train) [68][ 150/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:18:00 time: 0.2287 data_time: 0.0240 memory: 2049 grad_norm: 3.5379 loss: 4.5334 loss_cls: 2.9454 loss_bbox: 1.5881 2024/10/27 04:57:36 - mmengine - INFO - Epoch(train) [68][ 200/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:17:47 time: 0.2529 data_time: 0.0232 memory: 2049 grad_norm: 3.2952 loss: 4.5034 loss_cls: 2.9312 loss_bbox: 1.5722 2024/10/27 04:57:47 - mmengine - INFO - Epoch(train) [68][ 250/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:17:33 time: 0.2254 data_time: 0.0236 memory: 2049 grad_norm: 3.5041 loss: 4.6458 loss_cls: 2.9622 loss_bbox: 1.6836 2024/10/27 04:58:00 - mmengine - INFO - Epoch(train) [68][ 300/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:17:20 time: 0.2405 data_time: 0.0254 memory: 2049 grad_norm: 3.2044 loss: 4.6980 loss_cls: 3.0007 loss_bbox: 1.6973 2024/10/27 04:58:12 - mmengine - INFO - Epoch(train) [68][ 350/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:17:07 time: 0.2409 data_time: 0.0264 memory: 2049 grad_norm: 3.3823 loss: 4.4691 loss_cls: 2.9150 loss_bbox: 1.5541 2024/10/27 04:58:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 04:58:23 - mmengine - INFO - Epoch(train) [68][ 400/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:16:53 time: 0.2251 data_time: 0.0254 memory: 2049 grad_norm: 3.2868 loss: 4.5702 loss_cls: 2.9761 loss_bbox: 1.5942 2024/10/27 04:58:36 - mmengine - INFO - Epoch(train) [68][ 450/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:16:40 time: 0.2554 data_time: 0.0243 memory: 2049 grad_norm: 3.4187 loss: 4.4349 loss_cls: 2.8956 loss_bbox: 1.5394 2024/10/27 04:58:47 - mmengine - INFO - Epoch(train) [68][ 500/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:16:26 time: 0.2254 data_time: 0.0244 memory: 2049 grad_norm: 3.3613 loss: 4.5669 loss_cls: 2.9735 loss_bbox: 1.5934 2024/10/27 04:58:59 - mmengine - INFO - Epoch(train) [68][ 550/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:16:13 time: 0.2391 data_time: 0.0244 memory: 2049 grad_norm: 3.2805 loss: 4.4999 loss_cls: 2.9455 loss_bbox: 1.5544 2024/10/27 04:59:11 - mmengine - INFO - Epoch(train) [68][ 600/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:16:00 time: 0.2427 data_time: 0.0292 memory: 2049 grad_norm: 3.3186 loss: 4.6596 loss_cls: 2.9640 loss_bbox: 1.6956 2024/10/27 04:59:23 - mmengine - INFO - Epoch(train) [68][ 650/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:15:47 time: 0.2430 data_time: 0.0361 memory: 2049 grad_norm: 3.4978 loss: 4.6416 loss_cls: 3.0016 loss_bbox: 1.6400 2024/10/27 04:59:36 - mmengine - INFO - Epoch(train) [68][ 700/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:15:35 time: 0.2610 data_time: 0.0234 memory: 2049 grad_norm: 3.1473 loss: 4.5812 loss_cls: 2.9377 loss_bbox: 1.6436 2024/10/27 04:59:48 - mmengine - INFO - Epoch(train) [68][ 750/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:15:21 time: 0.2323 data_time: 0.0240 memory: 2049 grad_norm: 3.2757 loss: 4.5609 loss_cls: 2.9603 loss_bbox: 1.6006 2024/10/27 05:00:00 - mmengine - INFO - Epoch(train) [68][ 800/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:15:09 time: 0.2521 data_time: 0.0228 memory: 2049 grad_norm: 3.3501 loss: 4.5824 loss_cls: 2.9460 loss_bbox: 1.6364 2024/10/27 05:00:13 - mmengine - INFO - Epoch(train) [68][ 850/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:14:56 time: 0.2436 data_time: 0.0232 memory: 2049 grad_norm: 3.3449 loss: 4.6588 loss_cls: 3.0123 loss_bbox: 1.6464 2024/10/27 05:00:24 - mmengine - INFO - Epoch(train) [68][ 900/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:14:42 time: 0.2307 data_time: 0.0234 memory: 2049 grad_norm: 3.5870 loss: 4.5076 loss_cls: 2.9375 loss_bbox: 1.5700 2024/10/27 05:00:37 - mmengine - INFO - Epoch(train) [68][ 950/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:14:30 time: 0.2598 data_time: 0.0251 memory: 2049 grad_norm: 3.2038 loss: 4.6250 loss_cls: 3.0037 loss_bbox: 1.6214 2024/10/27 05:00:49 - mmengine - INFO - Epoch(train) [68][1000/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:14:16 time: 0.2281 data_time: 0.0234 memory: 2049 grad_norm: 3.4689 loss: 4.6503 loss_cls: 2.9883 loss_bbox: 1.6620 2024/10/27 05:01:01 - mmengine - INFO - Epoch(train) [68][1050/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:14:04 time: 0.2527 data_time: 0.0252 memory: 2049 grad_norm: 3.2795 loss: 4.4560 loss_cls: 2.9142 loss_bbox: 1.5418 2024/10/27 05:01:13 - mmengine - INFO - Epoch(train) [68][1100/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:13:50 time: 0.2335 data_time: 0.0216 memory: 2049 grad_norm: 3.6297 loss: 4.5698 loss_cls: 2.9764 loss_bbox: 1.5934 2024/10/27 05:01:25 - mmengine - INFO - Epoch(train) [68][1150/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:13:37 time: 0.2353 data_time: 0.0219 memory: 2049 grad_norm: 3.3249 loss: 4.5603 loss_cls: 2.9712 loss_bbox: 1.5891 2024/10/27 05:01:38 - mmengine - INFO - Epoch(train) [68][1200/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:13:25 time: 0.2627 data_time: 0.0225 memory: 2049 grad_norm: 3.4341 loss: 4.5828 loss_cls: 3.0251 loss_bbox: 1.5577 2024/10/27 05:01:49 - mmengine - INFO - Epoch(train) [68][1250/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:13:11 time: 0.2316 data_time: 0.0249 memory: 2049 grad_norm: 3.4549 loss: 4.5664 loss_cls: 2.9475 loss_bbox: 1.6189 2024/10/27 05:02:02 - mmengine - INFO - Epoch(train) [68][1300/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:12:59 time: 0.2561 data_time: 0.0233 memory: 2049 grad_norm: 3.2235 loss: 4.5729 loss_cls: 2.9704 loss_bbox: 1.6026 2024/10/27 05:02:17 - mmengine - INFO - Epoch(train) [68][1350/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:12:49 time: 0.2995 data_time: 0.0929 memory: 2049 grad_norm: 3.2753 loss: 4.5684 loss_cls: 2.9296 loss_bbox: 1.6389 2024/10/27 05:02:25 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:02:29 - mmengine - INFO - Epoch(train) [68][1400/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:12:35 time: 0.2313 data_time: 0.0242 memory: 2049 grad_norm: 3.3038 loss: 4.6116 loss_cls: 2.9990 loss_bbox: 1.6126 2024/10/27 05:02:41 - mmengine - INFO - Epoch(train) [68][1450/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:12:23 time: 0.2502 data_time: 0.0239 memory: 2049 grad_norm: 3.3097 loss: 4.5756 loss_cls: 2.9703 loss_bbox: 1.6053 2024/10/27 05:02:53 - mmengine - INFO - Epoch(train) [68][1500/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:12:09 time: 0.2311 data_time: 0.0248 memory: 2049 grad_norm: 3.3343 loss: 4.5438 loss_cls: 2.9367 loss_bbox: 1.6071 2024/10/27 05:03:06 - mmengine - INFO - Epoch(train) [68][1550/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:11:57 time: 0.2553 data_time: 0.0254 memory: 2049 grad_norm: 3.4201 loss: 4.6197 loss_cls: 2.9868 loss_bbox: 1.6329 2024/10/27 05:03:17 - mmengine - INFO - Epoch(train) [68][1600/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:11:43 time: 0.2310 data_time: 0.0243 memory: 2049 grad_norm: 3.2268 loss: 4.6529 loss_cls: 2.9920 loss_bbox: 1.6610 2024/10/27 05:03:29 - mmengine - INFO - Epoch(train) [68][1650/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:11:29 time: 0.2330 data_time: 0.0245 memory: 2049 grad_norm: 3.5407 loss: 4.6246 loss_cls: 2.9862 loss_bbox: 1.6384 2024/10/27 05:03:42 - mmengine - INFO - Epoch(train) [68][1700/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:11:17 time: 0.2567 data_time: 0.0236 memory: 2049 grad_norm: 3.3440 loss: 4.6461 loss_cls: 3.0347 loss_bbox: 1.6114 2024/10/27 05:03:54 - mmengine - INFO - Epoch(train) [68][1750/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:11:04 time: 0.2372 data_time: 0.0229 memory: 2049 grad_norm: 3.3727 loss: 4.6432 loss_cls: 3.0295 loss_bbox: 1.6137 2024/10/27 05:04:07 - mmengine - INFO - Epoch(train) [68][1800/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:10:52 time: 0.2591 data_time: 0.0236 memory: 2049 grad_norm: 3.4650 loss: 4.4943 loss_cls: 2.9069 loss_bbox: 1.5874 2024/10/27 05:04:18 - mmengine - INFO - Epoch(train) [68][1850/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:10:38 time: 0.2365 data_time: 0.0247 memory: 2049 grad_norm: 3.3249 loss: 4.6151 loss_cls: 2.9816 loss_bbox: 1.6335 2024/10/27 05:04:31 - mmengine - INFO - Epoch(train) [68][1900/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:10:25 time: 0.2485 data_time: 0.0292 memory: 2049 grad_norm: 3.5156 loss: 4.5214 loss_cls: 2.9410 loss_bbox: 1.5803 2024/10/27 05:04:44 - mmengine - INFO - Epoch(train) [68][1950/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:10:13 time: 0.2579 data_time: 0.0244 memory: 2049 grad_norm: 3.2332 loss: 4.6183 loss_cls: 2.9936 loss_bbox: 1.6247 2024/10/27 05:04:56 - mmengine - INFO - Epoch(train) [68][2000/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:10:00 time: 0.2443 data_time: 0.0228 memory: 2049 grad_norm: 3.3097 loss: 4.5888 loss_cls: 2.9848 loss_bbox: 1.6040 2024/10/27 05:05:09 - mmengine - INFO - Epoch(train) [68][2050/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:09:48 time: 0.2531 data_time: 0.0228 memory: 2049 grad_norm: 3.1918 loss: 4.6049 loss_cls: 2.9561 loss_bbox: 1.6488 2024/10/27 05:05:21 - mmengine - INFO - Epoch(train) [68][2100/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:09:35 time: 0.2414 data_time: 0.0233 memory: 2049 grad_norm: 3.3887 loss: 4.5638 loss_cls: 2.9881 loss_bbox: 1.5757 2024/10/27 05:05:33 - mmengine - INFO - Epoch(train) [68][2150/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:09:22 time: 0.2526 data_time: 0.0241 memory: 2049 grad_norm: 3.3713 loss: 4.5404 loss_cls: 2.9410 loss_bbox: 1.5994 2024/10/27 05:05:46 - mmengine - INFO - Epoch(train) [68][2200/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:09:10 time: 0.2561 data_time: 0.0227 memory: 2049 grad_norm: 3.2946 loss: 4.6242 loss_cls: 3.0079 loss_bbox: 1.6163 2024/10/27 05:05:58 - mmengine - INFO - Epoch(train) [68][2250/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:08:57 time: 0.2407 data_time: 0.0290 memory: 2049 grad_norm: 3.4812 loss: 4.6588 loss_cls: 3.0092 loss_bbox: 1.6496 2024/10/27 05:06:12 - mmengine - INFO - Epoch(train) [68][2300/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:08:45 time: 0.2663 data_time: 0.0226 memory: 2049 grad_norm: 3.2548 loss: 4.5693 loss_cls: 2.9782 loss_bbox: 1.5911 2024/10/27 05:06:23 - mmengine - INFO - Epoch(train) [68][2350/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:08:32 time: 0.2386 data_time: 0.0229 memory: 2049 grad_norm: 3.5498 loss: 4.6048 loss_cls: 2.9942 loss_bbox: 1.6106 2024/10/27 05:06:31 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:06:36 - mmengine - INFO - Epoch(train) [68][2400/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:08:19 time: 0.2503 data_time: 0.0228 memory: 2049 grad_norm: 3.3316 loss: 4.5744 loss_cls: 2.9853 loss_bbox: 1.5891 2024/10/27 05:06:49 - mmengine - INFO - Epoch(train) [68][2450/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:08:07 time: 0.2535 data_time: 0.0246 memory: 2049 grad_norm: 3.3910 loss: 4.5718 loss_cls: 2.9838 loss_bbox: 1.5879 2024/10/27 05:07:01 - mmengine - INFO - Epoch(train) [68][2500/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:07:53 time: 0.2388 data_time: 0.0234 memory: 2049 grad_norm: 3.5067 loss: 4.7025 loss_cls: 3.0384 loss_bbox: 1.6641 2024/10/27 05:07:14 - mmengine - INFO - Epoch(train) [68][2550/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:07:42 time: 0.2700 data_time: 0.0257 memory: 2049 grad_norm: 3.5574 loss: 4.6835 loss_cls: 3.0401 loss_bbox: 1.6434 2024/10/27 05:07:26 - mmengine - INFO - Epoch(train) [68][2600/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:07:28 time: 0.2357 data_time: 0.0225 memory: 2049 grad_norm: 3.5141 loss: 4.5984 loss_cls: 2.9897 loss_bbox: 1.6087 2024/10/27 05:07:38 - mmengine - INFO - Epoch(train) [68][2650/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:07:16 time: 0.2494 data_time: 0.0229 memory: 2049 grad_norm: 3.1777 loss: 4.5662 loss_cls: 2.9896 loss_bbox: 1.5767 2024/10/27 05:07:51 - mmengine - INFO - Epoch(train) [68][2700/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:07:03 time: 0.2578 data_time: 0.0230 memory: 2049 grad_norm: 3.6097 loss: 4.5518 loss_cls: 2.9859 loss_bbox: 1.5659 2024/10/27 05:08:03 - mmengine - INFO - Epoch(train) [68][2750/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:06:50 time: 0.2412 data_time: 0.0272 memory: 2049 grad_norm: 3.0360 loss: 4.5574 loss_cls: 2.9683 loss_bbox: 1.5891 2024/10/27 05:08:19 - mmengine - INFO - Epoch(train) [68][2800/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:06:41 time: 0.3103 data_time: 0.0689 memory: 2049 grad_norm: 3.4517 loss: 4.5280 loss_cls: 2.9261 loss_bbox: 1.6019 2024/10/27 05:08:31 - mmengine - INFO - Epoch(train) [68][2850/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:06:27 time: 0.2359 data_time: 0.0239 memory: 2049 grad_norm: 3.2247 loss: 4.6746 loss_cls: 3.0325 loss_bbox: 1.6421 2024/10/27 05:08:43 - mmengine - INFO - Epoch(train) [68][2900/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:06:15 time: 0.2538 data_time: 0.0280 memory: 2049 grad_norm: 3.3908 loss: 4.6694 loss_cls: 2.9751 loss_bbox: 1.6943 2024/10/27 05:08:56 - mmengine - INFO - Epoch(train) [68][2950/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:06:02 time: 0.2454 data_time: 0.0232 memory: 2049 grad_norm: 3.3194 loss: 4.6035 loss_cls: 2.9815 loss_bbox: 1.6220 2024/10/27 05:09:08 - mmengine - INFO - Epoch(train) [68][3000/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:05:49 time: 0.2385 data_time: 0.0285 memory: 2049 grad_norm: 3.2316 loss: 4.5773 loss_cls: 2.9408 loss_bbox: 1.6365 2024/10/27 05:09:21 - mmengine - INFO - Epoch(train) [68][3050/3054] base_lr: 2.3203e-03 lr: 2.3203e-03 eta: 11:05:37 time: 0.2591 data_time: 0.0241 memory: 2049 grad_norm: 3.3928 loss: 4.6126 loss_cls: 2.9779 loss_bbox: 1.6347 2024/10/27 05:09:22 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:09:22 - mmengine - INFO - Saving checkpoint at 68 epochs 2024/10/27 05:09:36 - mmengine - INFO - Epoch(train) [69][ 50/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:05:23 time: 0.2407 data_time: 0.0459 memory: 2049 grad_norm: 3.2502 loss: 4.5642 loss_cls: 2.9635 loss_bbox: 1.6007 2024/10/27 05:09:48 - mmengine - INFO - Epoch(train) [69][ 100/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:05:10 time: 0.2447 data_time: 0.0254 memory: 2049 grad_norm: 3.4052 loss: 4.5523 loss_cls: 2.9348 loss_bbox: 1.6174 2024/10/27 05:10:00 - mmengine - INFO - Epoch(train) [69][ 150/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:04:56 time: 0.2354 data_time: 0.0253 memory: 2049 grad_norm: 3.3916 loss: 4.6050 loss_cls: 2.9733 loss_bbox: 1.6317 2024/10/27 05:10:12 - mmengine - INFO - Epoch(train) [69][ 200/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:04:43 time: 0.2466 data_time: 0.0250 memory: 2049 grad_norm: 3.3815 loss: 4.5931 loss_cls: 2.9881 loss_bbox: 1.6051 2024/10/27 05:10:25 - mmengine - INFO - Epoch(train) [69][ 250/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:04:31 time: 0.2466 data_time: 0.0253 memory: 2049 grad_norm: 3.5563 loss: 4.5523 loss_cls: 2.9508 loss_bbox: 1.6015 2024/10/27 05:10:36 - mmengine - INFO - Epoch(train) [69][ 300/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:04:17 time: 0.2255 data_time: 0.0261 memory: 2049 grad_norm: 3.1380 loss: 4.6203 loss_cls: 2.9960 loss_bbox: 1.6243 2024/10/27 05:10:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:10:50 - mmengine - INFO - Epoch(train) [69][ 350/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:04:05 time: 0.2703 data_time: 0.0429 memory: 2049 grad_norm: 3.2420 loss: 4.5344 loss_cls: 2.9460 loss_bbox: 1.5884 2024/10/27 05:11:01 - mmengine - INFO - Epoch(train) [69][ 400/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:03:52 time: 0.2351 data_time: 0.0243 memory: 2049 grad_norm: 3.4616 loss: 4.6657 loss_cls: 3.0131 loss_bbox: 1.6526 2024/10/27 05:11:13 - mmengine - INFO - Epoch(train) [69][ 450/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:03:38 time: 0.2392 data_time: 0.0290 memory: 2049 grad_norm: 3.4830 loss: 4.4542 loss_cls: 2.9449 loss_bbox: 1.5093 2024/10/27 05:11:26 - mmengine - INFO - Epoch(train) [69][ 500/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:03:26 time: 0.2540 data_time: 0.0247 memory: 2049 grad_norm: 3.3822 loss: 4.5783 loss_cls: 2.9952 loss_bbox: 1.5831 2024/10/27 05:11:38 - mmengine - INFO - Epoch(train) [69][ 550/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:03:13 time: 0.2389 data_time: 0.0237 memory: 2049 grad_norm: 3.2819 loss: 4.5601 loss_cls: 2.9391 loss_bbox: 1.6211 2024/10/27 05:11:50 - mmengine - INFO - Epoch(train) [69][ 600/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:03:00 time: 0.2488 data_time: 0.0239 memory: 2049 grad_norm: 3.2707 loss: 4.5787 loss_cls: 2.9713 loss_bbox: 1.6074 2024/10/27 05:12:03 - mmengine - INFO - Epoch(train) [69][ 650/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:02:47 time: 0.2417 data_time: 0.0265 memory: 2049 grad_norm: 3.3553 loss: 4.5453 loss_cls: 2.9391 loss_bbox: 1.6062 2024/10/27 05:12:16 - mmengine - INFO - Epoch(train) [69][ 700/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:02:36 time: 0.2786 data_time: 0.0665 memory: 2049 grad_norm: 3.2213 loss: 4.5718 loss_cls: 3.0042 loss_bbox: 1.5676 2024/10/27 05:12:29 - mmengine - INFO - Epoch(train) [69][ 750/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:02:24 time: 0.2591 data_time: 0.0247 memory: 2049 grad_norm: 3.4995 loss: 4.6171 loss_cls: 2.9991 loss_bbox: 1.6180 2024/10/27 05:12:42 - mmengine - INFO - Epoch(train) [69][ 800/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:02:11 time: 0.2421 data_time: 0.0275 memory: 2049 grad_norm: 3.3350 loss: 4.5768 loss_cls: 2.9383 loss_bbox: 1.6385 2024/10/27 05:12:54 - mmengine - INFO - Epoch(train) [69][ 850/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:01:58 time: 0.2484 data_time: 0.0231 memory: 2049 grad_norm: 3.5238 loss: 4.6356 loss_cls: 3.0061 loss_bbox: 1.6295 2024/10/27 05:13:06 - mmengine - INFO - Epoch(train) [69][ 900/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:01:45 time: 0.2422 data_time: 0.0236 memory: 2049 grad_norm: 3.3617 loss: 4.6226 loss_cls: 2.9826 loss_bbox: 1.6400 2024/10/27 05:13:19 - mmengine - INFO - Epoch(train) [69][ 950/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:01:33 time: 0.2646 data_time: 0.0539 memory: 2049 grad_norm: 3.7064 loss: 4.6537 loss_cls: 2.9956 loss_bbox: 1.6580 2024/10/27 05:13:32 - mmengine - INFO - Epoch(train) [69][1000/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:01:21 time: 0.2602 data_time: 0.0247 memory: 2049 grad_norm: 3.2213 loss: 4.5902 loss_cls: 3.0173 loss_bbox: 1.5729 2024/10/27 05:13:45 - mmengine - INFO - Epoch(train) [69][1050/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:01:08 time: 0.2433 data_time: 0.0328 memory: 2049 grad_norm: 3.3470 loss: 4.5895 loss_cls: 3.0096 loss_bbox: 1.5799 2024/10/27 05:13:57 - mmengine - INFO - Epoch(train) [69][1100/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:00:55 time: 0.2468 data_time: 0.0241 memory: 2049 grad_norm: 3.4001 loss: 4.5890 loss_cls: 2.9749 loss_bbox: 1.6141 2024/10/27 05:14:10 - mmengine - INFO - Epoch(train) [69][1150/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:00:43 time: 0.2534 data_time: 0.0245 memory: 2049 grad_norm: 3.3475 loss: 4.6087 loss_cls: 3.0194 loss_bbox: 1.5893 2024/10/27 05:14:22 - mmengine - INFO - Epoch(train) [69][1200/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:00:30 time: 0.2430 data_time: 0.0243 memory: 2049 grad_norm: 3.5226 loss: 4.6195 loss_cls: 2.9923 loss_bbox: 1.6271 2024/10/27 05:14:35 - mmengine - INFO - Epoch(train) [69][1250/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:00:18 time: 0.2714 data_time: 0.0261 memory: 2049 grad_norm: 3.3024 loss: 4.5958 loss_cls: 2.9424 loss_bbox: 1.6534 2024/10/27 05:14:48 - mmengine - INFO - Epoch(train) [69][1300/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 11:00:05 time: 0.2446 data_time: 0.0243 memory: 2049 grad_norm: 3.5386 loss: 4.5775 loss_cls: 2.9650 loss_bbox: 1.6126 2024/10/27 05:14:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:15:00 - mmengine - INFO - Epoch(train) [69][1350/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:59:52 time: 0.2398 data_time: 0.0266 memory: 2049 grad_norm: 3.2795 loss: 4.5279 loss_cls: 2.9676 loss_bbox: 1.5603 2024/10/27 05:15:13 - mmengine - INFO - Epoch(train) [69][1400/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:59:40 time: 0.2674 data_time: 0.0244 memory: 2049 grad_norm: 3.2219 loss: 4.5601 loss_cls: 2.9537 loss_bbox: 1.6064 2024/10/27 05:15:25 - mmengine - INFO - Epoch(train) [69][1450/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:59:27 time: 0.2380 data_time: 0.0321 memory: 2049 grad_norm: 3.2591 loss: 4.5258 loss_cls: 2.9608 loss_bbox: 1.5650 2024/10/27 05:15:38 - mmengine - INFO - Epoch(train) [69][1500/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:59:15 time: 0.2602 data_time: 0.0258 memory: 2049 grad_norm: 3.5709 loss: 4.5132 loss_cls: 2.9599 loss_bbox: 1.5532 2024/10/27 05:15:51 - mmengine - INFO - Epoch(train) [69][1550/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:59:02 time: 0.2544 data_time: 0.0335 memory: 2049 grad_norm: 3.4153 loss: 4.5552 loss_cls: 2.9286 loss_bbox: 1.6267 2024/10/27 05:16:03 - mmengine - INFO - Epoch(train) [69][1600/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:58:49 time: 0.2403 data_time: 0.0245 memory: 2049 grad_norm: 3.4237 loss: 4.5495 loss_cls: 2.9496 loss_bbox: 1.5999 2024/10/27 05:16:18 - mmengine - INFO - Epoch(train) [69][1650/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:58:40 time: 0.3125 data_time: 0.0834 memory: 2049 grad_norm: 3.4060 loss: 4.5994 loss_cls: 2.9833 loss_bbox: 1.6160 2024/10/27 05:16:30 - mmengine - INFO - Epoch(train) [69][1700/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:58:26 time: 0.2369 data_time: 0.0224 memory: 2049 grad_norm: 3.4595 loss: 4.4881 loss_cls: 2.9485 loss_bbox: 1.5397 2024/10/27 05:16:43 - mmengine - INFO - Epoch(train) [69][1750/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:58:14 time: 0.2513 data_time: 0.0227 memory: 2049 grad_norm: 3.5579 loss: 4.5446 loss_cls: 2.9607 loss_bbox: 1.5838 2024/10/27 05:16:55 - mmengine - INFO - Epoch(train) [69][1800/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:58:01 time: 0.2505 data_time: 0.0266 memory: 2049 grad_norm: 3.5304 loss: 4.6476 loss_cls: 3.0302 loss_bbox: 1.6174 2024/10/27 05:17:08 - mmengine - INFO - Epoch(train) [69][1850/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:57:49 time: 0.2550 data_time: 0.0318 memory: 2049 grad_norm: 3.4966 loss: 4.5232 loss_cls: 2.9394 loss_bbox: 1.5839 2024/10/27 05:17:21 - mmengine - INFO - Epoch(train) [69][1900/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:57:37 time: 0.2593 data_time: 0.0241 memory: 2049 grad_norm: 3.6376 loss: 4.5970 loss_cls: 2.9964 loss_bbox: 1.6006 2024/10/27 05:17:33 - mmengine - INFO - Epoch(train) [69][1950/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:57:23 time: 0.2404 data_time: 0.0224 memory: 2049 grad_norm: 3.3396 loss: 4.5614 loss_cls: 2.9737 loss_bbox: 1.5877 2024/10/27 05:17:45 - mmengine - INFO - Epoch(train) [69][2000/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:57:11 time: 0.2451 data_time: 0.0220 memory: 2049 grad_norm: 3.4508 loss: 4.5779 loss_cls: 2.9627 loss_bbox: 1.6153 2024/10/27 05:17:58 - mmengine - INFO - Epoch(train) [69][2050/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:56:58 time: 0.2522 data_time: 0.0237 memory: 2049 grad_norm: 3.2511 loss: 4.5864 loss_cls: 2.9798 loss_bbox: 1.6066 2024/10/27 05:18:10 - mmengine - INFO - Epoch(train) [69][2100/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:56:45 time: 0.2506 data_time: 0.0236 memory: 2049 grad_norm: 3.0826 loss: 4.5758 loss_cls: 2.9777 loss_bbox: 1.5982 2024/10/27 05:18:23 - mmengine - INFO - Epoch(train) [69][2150/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:56:33 time: 0.2598 data_time: 0.0236 memory: 2049 grad_norm: 3.2706 loss: 4.6535 loss_cls: 3.0430 loss_bbox: 1.6104 2024/10/27 05:18:35 - mmengine - INFO - Epoch(train) [69][2200/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:56:20 time: 0.2410 data_time: 0.0280 memory: 2049 grad_norm: 3.2954 loss: 4.6036 loss_cls: 3.0347 loss_bbox: 1.5689 2024/10/27 05:18:48 - mmengine - INFO - Epoch(train) [69][2250/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:56:08 time: 0.2545 data_time: 0.0304 memory: 2049 grad_norm: 3.4119 loss: 4.5933 loss_cls: 2.9634 loss_bbox: 1.6299 2024/10/27 05:19:01 - mmengine - INFO - Epoch(train) [69][2300/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:55:55 time: 0.2553 data_time: 0.0226 memory: 2049 grad_norm: 3.6739 loss: 4.5944 loss_cls: 2.9520 loss_bbox: 1.6424 2024/10/27 05:19:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:19:14 - mmengine - INFO - Epoch(train) [69][2350/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:55:43 time: 0.2515 data_time: 0.0236 memory: 2049 grad_norm: 3.4610 loss: 4.6577 loss_cls: 2.9899 loss_bbox: 1.6678 2024/10/27 05:19:26 - mmengine - INFO - Epoch(train) [69][2400/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:55:30 time: 0.2535 data_time: 0.0223 memory: 2049 grad_norm: 3.2889 loss: 4.5717 loss_cls: 2.9809 loss_bbox: 1.5908 2024/10/27 05:19:38 - mmengine - INFO - Epoch(train) [69][2450/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:55:17 time: 0.2425 data_time: 0.0330 memory: 2049 grad_norm: 3.4658 loss: 4.7090 loss_cls: 3.0412 loss_bbox: 1.6678 2024/10/27 05:19:51 - mmengine - INFO - Epoch(train) [69][2500/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:55:05 time: 0.2515 data_time: 0.0216 memory: 2049 grad_norm: 3.4501 loss: 4.5808 loss_cls: 2.9603 loss_bbox: 1.6205 2024/10/27 05:20:04 - mmengine - INFO - Epoch(train) [69][2550/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:54:52 time: 0.2552 data_time: 0.0230 memory: 2049 grad_norm: 3.1491 loss: 4.5151 loss_cls: 2.9254 loss_bbox: 1.5897 2024/10/27 05:20:18 - mmengine - INFO - Epoch(train) [69][2600/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:54:41 time: 0.2749 data_time: 0.0494 memory: 2049 grad_norm: 3.7425 loss: 4.5416 loss_cls: 2.9543 loss_bbox: 1.5873 2024/10/27 05:20:31 - mmengine - INFO - Epoch(train) [69][2650/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:54:29 time: 0.2654 data_time: 0.0280 memory: 2049 grad_norm: 3.1355 loss: 4.6206 loss_cls: 2.9974 loss_bbox: 1.6232 2024/10/27 05:20:43 - mmengine - INFO - Epoch(train) [69][2700/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:54:16 time: 0.2423 data_time: 0.0270 memory: 2049 grad_norm: 3.4667 loss: 4.6553 loss_cls: 3.0272 loss_bbox: 1.6281 2024/10/27 05:20:56 - mmengine - INFO - Epoch(train) [69][2750/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:54:04 time: 0.2574 data_time: 0.0281 memory: 2049 grad_norm: 3.2749 loss: 4.6177 loss_cls: 3.0279 loss_bbox: 1.5898 2024/10/27 05:21:08 - mmengine - INFO - Epoch(train) [69][2800/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:53:51 time: 0.2509 data_time: 0.0217 memory: 2049 grad_norm: 3.6112 loss: 4.5484 loss_cls: 2.9835 loss_bbox: 1.5649 2024/10/27 05:21:21 - mmengine - INFO - Epoch(train) [69][2850/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:53:39 time: 0.2512 data_time: 0.0276 memory: 2049 grad_norm: 3.3362 loss: 4.6151 loss_cls: 2.9985 loss_bbox: 1.6165 2024/10/27 05:21:34 - mmengine - INFO - Epoch(train) [69][2900/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:53:27 time: 0.2668 data_time: 0.0275 memory: 2049 grad_norm: 3.2418 loss: 4.5920 loss_cls: 2.9742 loss_bbox: 1.6178 2024/10/27 05:21:47 - mmengine - INFO - Epoch(train) [69][2950/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:53:14 time: 0.2573 data_time: 0.0236 memory: 2049 grad_norm: 3.5343 loss: 4.6611 loss_cls: 2.9959 loss_bbox: 1.6652 2024/10/27 05:22:00 - mmengine - INFO - Epoch(train) [69][3000/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:53:02 time: 0.2609 data_time: 0.0216 memory: 2049 grad_norm: 3.4053 loss: 4.5592 loss_cls: 2.9900 loss_bbox: 1.5692 2024/10/27 05:22:13 - mmengine - INFO - Epoch(train) [69][3050/3054] base_lr: 2.2963e-03 lr: 2.2963e-03 eta: 10:52:50 time: 0.2512 data_time: 0.0214 memory: 2049 grad_norm: 3.0861 loss: 4.5358 loss_cls: 2.9127 loss_bbox: 1.6231 2024/10/27 05:22:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:22:14 - mmengine - INFO - Saving checkpoint at 69 epochs 2024/10/27 05:22:28 - mmengine - INFO - Epoch(train) [70][ 50/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:52:36 time: 0.2504 data_time: 0.0408 memory: 2049 grad_norm: 3.2526 loss: 4.6561 loss_cls: 3.0237 loss_bbox: 1.6324 2024/10/27 05:22:41 - mmengine - INFO - Epoch(train) [70][ 100/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:52:23 time: 0.2502 data_time: 0.0215 memory: 2049 grad_norm: 3.6150 loss: 4.6345 loss_cls: 3.0176 loss_bbox: 1.6169 2024/10/27 05:22:52 - mmengine - INFO - Epoch(train) [70][ 150/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:52:09 time: 0.2224 data_time: 0.0271 memory: 2049 grad_norm: 3.2846 loss: 4.4475 loss_cls: 2.8912 loss_bbox: 1.5563 2024/10/27 05:23:05 - mmengine - INFO - Epoch(train) [70][ 200/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:51:57 time: 0.2552 data_time: 0.0228 memory: 2049 grad_norm: 3.2601 loss: 4.5512 loss_cls: 2.9646 loss_bbox: 1.5866 2024/10/27 05:23:18 - mmengine - INFO - Epoch(train) [70][ 250/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:51:45 time: 0.2643 data_time: 0.0325 memory: 2049 grad_norm: 3.3701 loss: 4.4253 loss_cls: 2.8845 loss_bbox: 1.5408 2024/10/27 05:23:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:23:30 - mmengine - INFO - Epoch(train) [70][ 300/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:51:32 time: 0.2456 data_time: 0.0226 memory: 2049 grad_norm: 3.5941 loss: 4.6861 loss_cls: 3.0052 loss_bbox: 1.6809 2024/10/27 05:23:43 - mmengine - INFO - Epoch(train) [70][ 350/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:51:20 time: 0.2633 data_time: 0.0305 memory: 2049 grad_norm: 3.3625 loss: 4.6379 loss_cls: 2.9929 loss_bbox: 1.6451 2024/10/27 05:23:56 - mmengine - INFO - Epoch(train) [70][ 400/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:51:08 time: 0.2482 data_time: 0.0269 memory: 2049 grad_norm: 3.3060 loss: 4.5460 loss_cls: 2.9601 loss_bbox: 1.5859 2024/10/27 05:24:09 - mmengine - INFO - Epoch(train) [70][ 450/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:50:55 time: 0.2542 data_time: 0.0230 memory: 2049 grad_norm: 3.3997 loss: 4.4851 loss_cls: 2.9681 loss_bbox: 1.5170 2024/10/27 05:24:20 - mmengine - INFO - Epoch(train) [70][ 500/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:50:42 time: 0.2343 data_time: 0.0231 memory: 2049 grad_norm: 3.7757 loss: 4.4970 loss_cls: 2.8989 loss_bbox: 1.5981 2024/10/27 05:24:33 - mmengine - INFO - Epoch(train) [70][ 550/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:50:29 time: 0.2566 data_time: 0.0304 memory: 2049 grad_norm: 3.3871 loss: 4.6148 loss_cls: 3.0387 loss_bbox: 1.5762 2024/10/27 05:24:46 - mmengine - INFO - Epoch(train) [70][ 600/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:50:17 time: 0.2643 data_time: 0.0285 memory: 2049 grad_norm: 3.1301 loss: 4.5879 loss_cls: 2.9917 loss_bbox: 1.5962 2024/10/27 05:24:59 - mmengine - INFO - Epoch(train) [70][ 650/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:50:05 time: 0.2555 data_time: 0.0241 memory: 2049 grad_norm: 3.2273 loss: 4.6207 loss_cls: 2.9932 loss_bbox: 1.6275 2024/10/27 05:25:12 - mmengine - INFO - Epoch(train) [70][ 700/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:49:53 time: 0.2599 data_time: 0.0223 memory: 2049 grad_norm: 3.4619 loss: 4.6202 loss_cls: 2.9917 loss_bbox: 1.6285 2024/10/27 05:25:25 - mmengine - INFO - Epoch(train) [70][ 750/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:49:40 time: 0.2527 data_time: 0.0220 memory: 2049 grad_norm: 3.5016 loss: 4.5995 loss_cls: 2.9976 loss_bbox: 1.6019 2024/10/27 05:25:38 - mmengine - INFO - Epoch(train) [70][ 800/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:49:29 time: 0.2665 data_time: 0.0272 memory: 2049 grad_norm: 3.4931 loss: 4.5987 loss_cls: 2.9519 loss_bbox: 1.6469 2024/10/27 05:25:51 - mmengine - INFO - Epoch(train) [70][ 850/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:49:17 time: 0.2626 data_time: 0.0232 memory: 2049 grad_norm: 3.2327 loss: 4.5236 loss_cls: 2.9640 loss_bbox: 1.5596 2024/10/27 05:26:04 - mmengine - INFO - Epoch(train) [70][ 900/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:49:04 time: 0.2573 data_time: 0.0236 memory: 2049 grad_norm: 3.1831 loss: 4.5273 loss_cls: 2.9435 loss_bbox: 1.5838 2024/10/27 05:26:20 - mmengine - INFO - Epoch(train) [70][ 950/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:48:54 time: 0.3077 data_time: 0.0542 memory: 2049 grad_norm: 3.4841 loss: 4.6275 loss_cls: 3.0130 loss_bbox: 1.6144 2024/10/27 05:26:32 - mmengine - INFO - Epoch(train) [70][1000/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:48:42 time: 0.2452 data_time: 0.0227 memory: 2049 grad_norm: 3.1856 loss: 4.5864 loss_cls: 3.0046 loss_bbox: 1.5818 2024/10/27 05:26:46 - mmengine - INFO - Epoch(train) [70][1050/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:48:30 time: 0.2759 data_time: 0.0278 memory: 2049 grad_norm: 3.4000 loss: 4.6253 loss_cls: 3.0163 loss_bbox: 1.6090 2024/10/27 05:26:59 - mmengine - INFO - Epoch(train) [70][1100/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:48:18 time: 0.2608 data_time: 0.0264 memory: 2049 grad_norm: 3.1846 loss: 4.5030 loss_cls: 2.9488 loss_bbox: 1.5541 2024/10/27 05:27:12 - mmengine - INFO - Epoch(train) [70][1150/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:48:06 time: 0.2601 data_time: 0.0264 memory: 2049 grad_norm: 3.3563 loss: 4.6838 loss_cls: 3.0303 loss_bbox: 1.6534 2024/10/27 05:27:25 - mmengine - INFO - Epoch(train) [70][1200/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:47:55 time: 0.2756 data_time: 0.0235 memory: 2049 grad_norm: 3.4461 loss: 4.4425 loss_cls: 2.9226 loss_bbox: 1.5199 2024/10/27 05:27:38 - mmengine - INFO - Epoch(train) [70][1250/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:47:42 time: 0.2528 data_time: 0.0245 memory: 2049 grad_norm: 3.4947 loss: 4.6445 loss_cls: 2.9699 loss_bbox: 1.6746 2024/10/27 05:27:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:27:52 - mmengine - INFO - Epoch(train) [70][1300/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:47:31 time: 0.2802 data_time: 0.0331 memory: 2049 grad_norm: 3.5435 loss: 4.5588 loss_cls: 2.9820 loss_bbox: 1.5768 2024/10/27 05:28:05 - mmengine - INFO - Epoch(train) [70][1350/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:47:19 time: 0.2598 data_time: 0.0233 memory: 2049 grad_norm: 3.5401 loss: 4.4738 loss_cls: 2.9310 loss_bbox: 1.5429 2024/10/27 05:28:19 - mmengine - INFO - Epoch(train) [70][1400/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:47:07 time: 0.2741 data_time: 0.0398 memory: 2049 grad_norm: 3.3596 loss: 4.4387 loss_cls: 2.9118 loss_bbox: 1.5270 2024/10/27 05:28:33 - mmengine - INFO - Epoch(train) [70][1450/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:46:56 time: 0.2845 data_time: 0.0435 memory: 2049 grad_norm: 3.2017 loss: 4.5745 loss_cls: 3.0072 loss_bbox: 1.5673 2024/10/27 05:28:46 - mmengine - INFO - Epoch(train) [70][1500/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:46:44 time: 0.2567 data_time: 0.0251 memory: 2049 grad_norm: 3.1874 loss: 4.5031 loss_cls: 2.9492 loss_bbox: 1.5539 2024/10/27 05:28:59 - mmengine - INFO - Epoch(train) [70][1550/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:46:32 time: 0.2677 data_time: 0.0336 memory: 2049 grad_norm: 3.1340 loss: 4.5259 loss_cls: 2.9426 loss_bbox: 1.5834 2024/10/27 05:29:12 - mmengine - INFO - Epoch(train) [70][1600/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:46:19 time: 0.2474 data_time: 0.0251 memory: 2049 grad_norm: 3.4223 loss: 4.6336 loss_cls: 3.0270 loss_bbox: 1.6066 2024/10/27 05:29:25 - mmengine - INFO - Epoch(train) [70][1650/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:46:07 time: 0.2560 data_time: 0.0243 memory: 2049 grad_norm: 3.7554 loss: 4.5205 loss_cls: 2.9634 loss_bbox: 1.5571 2024/10/27 05:29:37 - mmengine - INFO - Epoch(train) [70][1700/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:45:55 time: 0.2559 data_time: 0.0245 memory: 2049 grad_norm: 3.2759 loss: 4.4824 loss_cls: 2.9144 loss_bbox: 1.5680 2024/10/27 05:29:50 - mmengine - INFO - Epoch(train) [70][1750/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:45:42 time: 0.2571 data_time: 0.0248 memory: 2049 grad_norm: 3.1966 loss: 4.5474 loss_cls: 2.9631 loss_bbox: 1.5843 2024/10/27 05:30:03 - mmengine - INFO - Epoch(train) [70][1800/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:45:30 time: 0.2600 data_time: 0.0249 memory: 2049 grad_norm: 3.3872 loss: 4.5839 loss_cls: 2.9475 loss_bbox: 1.6364 2024/10/27 05:30:18 - mmengine - INFO - Epoch(train) [70][1850/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:45:20 time: 0.2942 data_time: 0.0690 memory: 2049 grad_norm: 3.3431 loss: 4.6122 loss_cls: 2.9705 loss_bbox: 1.6417 2024/10/27 05:30:31 - mmengine - INFO - Epoch(train) [70][1900/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:45:07 time: 0.2556 data_time: 0.0245 memory: 2049 grad_norm: 3.5905 loss: 4.4813 loss_cls: 2.9192 loss_bbox: 1.5621 2024/10/27 05:30:44 - mmengine - INFO - Epoch(train) [70][1950/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:44:55 time: 0.2562 data_time: 0.0250 memory: 2049 grad_norm: 3.2543 loss: 4.5294 loss_cls: 2.9400 loss_bbox: 1.5894 2024/10/27 05:30:56 - mmengine - INFO - Epoch(train) [70][2000/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:44:42 time: 0.2428 data_time: 0.0259 memory: 2049 grad_norm: 3.3834 loss: 4.5175 loss_cls: 2.9372 loss_bbox: 1.5804 2024/10/27 05:31:09 - mmengine - INFO - Epoch(train) [70][2050/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:44:30 time: 0.2739 data_time: 0.0248 memory: 2049 grad_norm: 3.4289 loss: 4.6174 loss_cls: 3.0072 loss_bbox: 1.6102 2024/10/27 05:31:22 - mmengine - INFO - Epoch(train) [70][2100/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:44:18 time: 0.2472 data_time: 0.0247 memory: 2049 grad_norm: 3.2574 loss: 4.5322 loss_cls: 2.9525 loss_bbox: 1.5797 2024/10/27 05:31:35 - mmengine - INFO - Epoch(train) [70][2150/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:44:05 time: 0.2549 data_time: 0.0272 memory: 2049 grad_norm: 3.1378 loss: 4.5612 loss_cls: 2.9784 loss_bbox: 1.5828 2024/10/27 05:31:48 - mmengine - INFO - Epoch(train) [70][2200/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:43:53 time: 0.2689 data_time: 0.0245 memory: 2049 grad_norm: 3.4893 loss: 4.5623 loss_cls: 2.9893 loss_bbox: 1.5730 2024/10/27 05:32:00 - mmengine - INFO - Epoch(train) [70][2250/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:43:41 time: 0.2461 data_time: 0.0260 memory: 2049 grad_norm: 3.3628 loss: 4.5807 loss_cls: 3.0021 loss_bbox: 1.5786 2024/10/27 05:32:07 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:32:15 - mmengine - INFO - Epoch(train) [70][2300/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:43:30 time: 0.2849 data_time: 0.0240 memory: 2049 grad_norm: 3.6842 loss: 4.5604 loss_cls: 2.9431 loss_bbox: 1.6173 2024/10/27 05:32:27 - mmengine - INFO - Epoch(train) [70][2350/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:43:17 time: 0.2470 data_time: 0.0250 memory: 2049 grad_norm: 3.2573 loss: 4.6499 loss_cls: 3.0030 loss_bbox: 1.6469 2024/10/27 05:32:40 - mmengine - INFO - Epoch(train) [70][2400/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:43:05 time: 0.2609 data_time: 0.0249 memory: 2049 grad_norm: 3.4647 loss: 4.6244 loss_cls: 3.0009 loss_bbox: 1.6236 2024/10/27 05:32:54 - mmengine - INFO - Epoch(train) [70][2450/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:42:53 time: 0.2750 data_time: 0.0264 memory: 2049 grad_norm: 3.5029 loss: 4.6592 loss_cls: 3.0060 loss_bbox: 1.6532 2024/10/27 05:33:06 - mmengine - INFO - Epoch(train) [70][2500/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:42:41 time: 0.2488 data_time: 0.0249 memory: 2049 grad_norm: 3.2550 loss: 4.5464 loss_cls: 2.9795 loss_bbox: 1.5669 2024/10/27 05:33:20 - mmengine - INFO - Epoch(train) [70][2550/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:42:29 time: 0.2758 data_time: 0.0255 memory: 2049 grad_norm: 3.1820 loss: 4.5828 loss_cls: 2.9578 loss_bbox: 1.6250 2024/10/27 05:33:33 - mmengine - INFO - Epoch(train) [70][2600/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:42:17 time: 0.2570 data_time: 0.0238 memory: 2049 grad_norm: 3.4665 loss: 4.6453 loss_cls: 3.0207 loss_bbox: 1.6246 2024/10/27 05:33:46 - mmengine - INFO - Epoch(train) [70][2650/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:42:04 time: 0.2530 data_time: 0.0244 memory: 2049 grad_norm: 3.6906 loss: 4.6431 loss_cls: 3.0005 loss_bbox: 1.6426 2024/10/27 05:33:59 - mmengine - INFO - Epoch(train) [70][2700/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:41:53 time: 0.2740 data_time: 0.0256 memory: 2049 grad_norm: 3.4292 loss: 4.6473 loss_cls: 3.0620 loss_bbox: 1.5853 2024/10/27 05:34:12 - mmengine - INFO - Epoch(train) [70][2750/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:41:40 time: 0.2500 data_time: 0.0252 memory: 2049 grad_norm: 3.3959 loss: 4.6043 loss_cls: 3.0259 loss_bbox: 1.5784 2024/10/27 05:34:25 - mmengine - INFO - Epoch(train) [70][2800/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:41:28 time: 0.2708 data_time: 0.0322 memory: 2049 grad_norm: 3.2859 loss: 4.6749 loss_cls: 3.0220 loss_bbox: 1.6529 2024/10/27 05:34:38 - mmengine - INFO - Epoch(train) [70][2850/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:41:16 time: 0.2603 data_time: 0.0263 memory: 2049 grad_norm: 3.4160 loss: 4.4000 loss_cls: 2.8740 loss_bbox: 1.5260 2024/10/27 05:34:51 - mmengine - INFO - Epoch(train) [70][2900/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:41:04 time: 0.2464 data_time: 0.0244 memory: 2049 grad_norm: 3.4994 loss: 4.5617 loss_cls: 2.9786 loss_bbox: 1.5831 2024/10/27 05:35:04 - mmengine - INFO - Epoch(train) [70][2950/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:40:52 time: 0.2706 data_time: 0.0244 memory: 2049 grad_norm: 3.4677 loss: 4.5517 loss_cls: 2.9385 loss_bbox: 1.6133 2024/10/27 05:35:17 - mmengine - INFO - Epoch(train) [70][3000/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:40:40 time: 0.2649 data_time: 0.0409 memory: 2049 grad_norm: 3.0096 loss: 4.5638 loss_cls: 2.9605 loss_bbox: 1.6033 2024/10/27 05:35:31 - mmengine - INFO - Epoch(train) [70][3050/3054] base_lr: 2.2692e-03 lr: 2.2692e-03 eta: 10:40:28 time: 0.2620 data_time: 0.0242 memory: 2049 grad_norm: 3.4891 loss: 4.6898 loss_cls: 3.0748 loss_bbox: 1.6150 2024/10/27 05:35:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:35:32 - mmengine - INFO - Saving checkpoint at 70 epochs 2024/10/27 05:35:36 - mmengine - INFO - Epoch(val) [70][50/79] eta: 0:00:01 time: 0.0451 data_time: 0.0065 memory: 2049 2024/10/27 05:35:51 - mmengine - INFO - Evaluating bbox... 2024/10/27 05:36:58 - mmengine - INFO - bbox_mAP_copypaste: 0.171 0.300 0.172 0.015 0.156 0.341 2024/10/27 05:37:00 - mmengine - INFO - Epoch(val) [70][79/79] coco/bbox_mAP: 0.1710 coco/bbox_mAP_50: 0.3000 coco/bbox_mAP_75: 0.1720 coco/bbox_mAP_s: 0.0150 coco/bbox_mAP_m: 0.1560 coco/bbox_mAP_l: 0.3410 data_time: 0.0060 time: 0.0440 2024/10/27 05:37:12 - mmengine - INFO - Epoch(train) [71][ 50/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:40:14 time: 0.2465 data_time: 0.0379 memory: 2049 grad_norm: 3.2554 loss: 4.4913 loss_cls: 2.9263 loss_bbox: 1.5650 2024/10/27 05:37:24 - mmengine - INFO - Epoch(train) [71][ 100/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:40:01 time: 0.2375 data_time: 0.0248 memory: 2049 grad_norm: 3.3831 loss: 4.5792 loss_cls: 2.9606 loss_bbox: 1.6186 2024/10/27 05:37:36 - mmengine - INFO - Epoch(train) [71][ 150/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:39:47 time: 0.2372 data_time: 0.0250 memory: 2049 grad_norm: 3.6160 loss: 4.5437 loss_cls: 2.9480 loss_bbox: 1.5957 2024/10/27 05:37:48 - mmengine - INFO - Epoch(train) [71][ 200/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:39:34 time: 0.2354 data_time: 0.0304 memory: 2049 grad_norm: 3.1237 loss: 4.5262 loss_cls: 2.9442 loss_bbox: 1.5820 2024/10/27 05:37:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:37:59 - mmengine - INFO - Epoch(train) [71][ 250/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:39:21 time: 0.2375 data_time: 0.0245 memory: 2049 grad_norm: 3.5598 loss: 4.5975 loss_cls: 2.9738 loss_bbox: 1.6237 2024/10/27 05:38:11 - mmengine - INFO - Epoch(train) [71][ 300/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:39:07 time: 0.2358 data_time: 0.0252 memory: 2049 grad_norm: 3.2503 loss: 4.5096 loss_cls: 2.9545 loss_bbox: 1.5551 2024/10/27 05:38:23 - mmengine - INFO - Epoch(train) [71][ 350/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:38:54 time: 0.2423 data_time: 0.0264 memory: 2049 grad_norm: 3.3367 loss: 4.5237 loss_cls: 2.9243 loss_bbox: 1.5994 2024/10/27 05:38:36 - mmengine - INFO - Epoch(train) [71][ 400/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:38:42 time: 0.2476 data_time: 0.0261 memory: 2049 grad_norm: 3.3130 loss: 4.6309 loss_cls: 2.9798 loss_bbox: 1.6511 2024/10/27 05:38:47 - mmengine - INFO - Epoch(train) [71][ 450/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:38:28 time: 0.2304 data_time: 0.0254 memory: 2049 grad_norm: 3.4296 loss: 4.6521 loss_cls: 3.0137 loss_bbox: 1.6383 2024/10/27 05:38:59 - mmengine - INFO - Epoch(train) [71][ 500/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:38:15 time: 0.2394 data_time: 0.0249 memory: 2049 grad_norm: 3.1846 loss: 4.5754 loss_cls: 3.0050 loss_bbox: 1.5704 2024/10/27 05:39:11 - mmengine - INFO - Epoch(train) [71][ 550/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:38:01 time: 0.2271 data_time: 0.0246 memory: 2049 grad_norm: 3.2010 loss: 4.6135 loss_cls: 2.9962 loss_bbox: 1.6173 2024/10/27 05:39:23 - mmengine - INFO - Epoch(train) [71][ 600/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:37:48 time: 0.2368 data_time: 0.0251 memory: 2049 grad_norm: 3.3722 loss: 4.4693 loss_cls: 2.9118 loss_bbox: 1.5575 2024/10/27 05:39:35 - mmengine - INFO - Epoch(train) [71][ 650/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:37:35 time: 0.2488 data_time: 0.0291 memory: 2049 grad_norm: 3.3166 loss: 4.5221 loss_cls: 2.9176 loss_bbox: 1.6045 2024/10/27 05:39:47 - mmengine - INFO - Epoch(train) [71][ 700/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:37:22 time: 0.2320 data_time: 0.0258 memory: 2049 grad_norm: 3.5775 loss: 4.4486 loss_cls: 2.9046 loss_bbox: 1.5440 2024/10/27 05:39:58 - mmengine - INFO - Epoch(train) [71][ 750/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:37:08 time: 0.2322 data_time: 0.0267 memory: 2049 grad_norm: 3.1342 loss: 4.5241 loss_cls: 2.9283 loss_bbox: 1.5958 2024/10/27 05:40:10 - mmengine - INFO - Epoch(train) [71][ 800/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:36:55 time: 0.2319 data_time: 0.0301 memory: 2049 grad_norm: 3.3646 loss: 4.6144 loss_cls: 2.9596 loss_bbox: 1.6548 2024/10/27 05:40:22 - mmengine - INFO - Epoch(train) [71][ 850/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:36:41 time: 0.2358 data_time: 0.0248 memory: 2049 grad_norm: 3.4228 loss: 4.5060 loss_cls: 2.9618 loss_bbox: 1.5442 2024/10/27 05:40:34 - mmengine - INFO - Epoch(train) [71][ 900/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:36:28 time: 0.2431 data_time: 0.0246 memory: 2049 grad_norm: 3.2951 loss: 4.5671 loss_cls: 3.0072 loss_bbox: 1.5599 2024/10/27 05:40:46 - mmengine - INFO - Epoch(train) [71][ 950/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:36:15 time: 0.2351 data_time: 0.0254 memory: 2049 grad_norm: 3.3315 loss: 4.5772 loss_cls: 2.9913 loss_bbox: 1.5859 2024/10/27 05:40:57 - mmengine - INFO - Epoch(train) [71][1000/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:36:01 time: 0.2298 data_time: 0.0265 memory: 2049 grad_norm: 3.2830 loss: 4.5561 loss_cls: 2.9314 loss_bbox: 1.6247 2024/10/27 05:41:09 - mmengine - INFO - Epoch(train) [71][1050/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:35:48 time: 0.2348 data_time: 0.0266 memory: 2049 grad_norm: 3.6304 loss: 4.5162 loss_cls: 2.9387 loss_bbox: 1.5775 2024/10/27 05:41:21 - mmengine - INFO - Epoch(train) [71][1100/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:35:35 time: 0.2398 data_time: 0.0267 memory: 2049 grad_norm: 3.4988 loss: 4.5107 loss_cls: 2.9555 loss_bbox: 1.5552 2024/10/27 05:41:32 - mmengine - INFO - Epoch(train) [71][1150/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:35:21 time: 0.2297 data_time: 0.0251 memory: 2049 grad_norm: 3.2273 loss: 4.5305 loss_cls: 2.9401 loss_bbox: 1.5904 2024/10/27 05:41:44 - mmengine - INFO - Epoch(train) [71][1200/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:35:08 time: 0.2405 data_time: 0.0246 memory: 2049 grad_norm: 3.2920 loss: 4.6131 loss_cls: 2.9633 loss_bbox: 1.6498 2024/10/27 05:41:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:41:56 - mmengine - INFO - Epoch(train) [71][1250/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:34:55 time: 0.2385 data_time: 0.0252 memory: 2049 grad_norm: 3.4592 loss: 4.5867 loss_cls: 2.9645 loss_bbox: 1.6222 2024/10/27 05:42:09 - mmengine - INFO - Epoch(train) [71][1300/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:34:42 time: 0.2498 data_time: 0.0342 memory: 2049 grad_norm: 3.5441 loss: 4.5641 loss_cls: 2.9726 loss_bbox: 1.5915 2024/10/27 05:42:21 - mmengine - INFO - Epoch(train) [71][1350/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:34:29 time: 0.2470 data_time: 0.0264 memory: 2049 grad_norm: 3.4015 loss: 4.5800 loss_cls: 2.9490 loss_bbox: 1.6310 2024/10/27 05:42:34 - mmengine - INFO - Epoch(train) [71][1400/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:34:17 time: 0.2471 data_time: 0.0278 memory: 2049 grad_norm: 3.1586 loss: 4.5714 loss_cls: 2.9926 loss_bbox: 1.5788 2024/10/27 05:42:46 - mmengine - INFO - Epoch(train) [71][1450/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:34:04 time: 0.2462 data_time: 0.0243 memory: 2049 grad_norm: 3.4508 loss: 4.5083 loss_cls: 2.9378 loss_bbox: 1.5705 2024/10/27 05:42:57 - mmengine - INFO - Epoch(train) [71][1500/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:33:50 time: 0.2270 data_time: 0.0265 memory: 2049 grad_norm: 3.5478 loss: 4.4421 loss_cls: 2.9219 loss_bbox: 1.5203 2024/10/27 05:43:10 - mmengine - INFO - Epoch(train) [71][1550/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:33:37 time: 0.2511 data_time: 0.0280 memory: 2049 grad_norm: 3.1102 loss: 4.5694 loss_cls: 2.9894 loss_bbox: 1.5800 2024/10/27 05:43:22 - mmengine - INFO - Epoch(train) [71][1600/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:33:25 time: 0.2467 data_time: 0.0257 memory: 2049 grad_norm: 3.4651 loss: 4.5684 loss_cls: 2.9746 loss_bbox: 1.5938 2024/10/27 05:43:34 - mmengine - INFO - Epoch(train) [71][1650/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:33:11 time: 0.2386 data_time: 0.0260 memory: 2049 grad_norm: 3.4425 loss: 4.6062 loss_cls: 2.9845 loss_bbox: 1.6217 2024/10/27 05:43:46 - mmengine - INFO - Epoch(train) [71][1700/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:32:59 time: 0.2454 data_time: 0.0262 memory: 2049 grad_norm: 3.3292 loss: 4.5405 loss_cls: 2.9472 loss_bbox: 1.5933 2024/10/27 05:43:58 - mmengine - INFO - Epoch(train) [71][1750/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:32:45 time: 0.2345 data_time: 0.0259 memory: 2049 grad_norm: 3.4085 loss: 4.5224 loss_cls: 2.9540 loss_bbox: 1.5684 2024/10/27 05:44:10 - mmengine - INFO - Epoch(train) [71][1800/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:32:32 time: 0.2450 data_time: 0.0334 memory: 2049 grad_norm: 3.5916 loss: 4.4580 loss_cls: 2.8906 loss_bbox: 1.5675 2024/10/27 05:44:23 - mmengine - INFO - Epoch(train) [71][1850/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:32:20 time: 0.2567 data_time: 0.0276 memory: 2049 grad_norm: 3.7039 loss: 4.5298 loss_cls: 2.9627 loss_bbox: 1.5671 2024/10/27 05:44:36 - mmengine - INFO - Epoch(train) [71][1900/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:32:07 time: 0.2463 data_time: 0.0252 memory: 2049 grad_norm: 3.3158 loss: 4.6754 loss_cls: 3.0182 loss_bbox: 1.6572 2024/10/27 05:44:48 - mmengine - INFO - Epoch(train) [71][1950/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:31:55 time: 0.2503 data_time: 0.0295 memory: 2049 grad_norm: 3.2509 loss: 4.5664 loss_cls: 2.9420 loss_bbox: 1.6244 2024/10/27 05:45:00 - mmengine - INFO - Epoch(train) [71][2000/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:31:42 time: 0.2451 data_time: 0.0249 memory: 2049 grad_norm: 3.3978 loss: 4.5424 loss_cls: 2.9668 loss_bbox: 1.5755 2024/10/27 05:45:13 - mmengine - INFO - Epoch(train) [71][2050/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:31:29 time: 0.2513 data_time: 0.0271 memory: 2049 grad_norm: 3.6348 loss: 4.4737 loss_cls: 2.9213 loss_bbox: 1.5524 2024/10/27 05:45:26 - mmengine - INFO - Epoch(train) [71][2100/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:31:17 time: 0.2590 data_time: 0.0251 memory: 2049 grad_norm: 3.3786 loss: 4.4800 loss_cls: 2.9059 loss_bbox: 1.5742 2024/10/27 05:45:39 - mmengine - INFO - Epoch(train) [71][2150/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:31:05 time: 0.2663 data_time: 0.0416 memory: 2049 grad_norm: 3.3464 loss: 4.5193 loss_cls: 2.9335 loss_bbox: 1.5858 2024/10/27 05:45:51 - mmengine - INFO - Epoch(train) [71][2200/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:30:52 time: 0.2434 data_time: 0.0249 memory: 2049 grad_norm: 3.2680 loss: 4.5728 loss_cls: 2.9748 loss_bbox: 1.5979 2024/10/27 05:45:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:46:04 - mmengine - INFO - Epoch(train) [71][2250/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:30:40 time: 0.2551 data_time: 0.0246 memory: 2049 grad_norm: 3.5714 loss: 4.5505 loss_cls: 2.9749 loss_bbox: 1.5756 2024/10/27 05:46:17 - mmengine - INFO - Epoch(train) [71][2300/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:30:28 time: 0.2644 data_time: 0.0416 memory: 2049 grad_norm: 3.3430 loss: 4.5994 loss_cls: 2.9402 loss_bbox: 1.6592 2024/10/27 05:46:30 - mmengine - INFO - Epoch(train) [71][2350/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:30:15 time: 0.2601 data_time: 0.0247 memory: 2049 grad_norm: 3.3896 loss: 4.5546 loss_cls: 2.9701 loss_bbox: 1.5845 2024/10/27 05:46:43 - mmengine - INFO - Epoch(train) [71][2400/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:30:03 time: 0.2517 data_time: 0.0277 memory: 2049 grad_norm: 3.2150 loss: 4.5781 loss_cls: 2.9888 loss_bbox: 1.5893 2024/10/27 05:46:56 - mmengine - INFO - Epoch(train) [71][2450/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:29:51 time: 0.2612 data_time: 0.0248 memory: 2049 grad_norm: 3.5132 loss: 4.6290 loss_cls: 2.9682 loss_bbox: 1.6608 2024/10/27 05:47:09 - mmengine - INFO - Epoch(train) [71][2500/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:29:38 time: 0.2557 data_time: 0.0244 memory: 2049 grad_norm: 3.5313 loss: 4.5273 loss_cls: 2.9721 loss_bbox: 1.5552 2024/10/27 05:47:22 - mmengine - INFO - Epoch(train) [71][2550/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:29:26 time: 0.2582 data_time: 0.0321 memory: 2049 grad_norm: 3.2830 loss: 4.4756 loss_cls: 2.9069 loss_bbox: 1.5687 2024/10/27 05:47:35 - mmengine - INFO - Epoch(train) [71][2600/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:29:14 time: 0.2611 data_time: 0.0255 memory: 2049 grad_norm: 3.6286 loss: 4.5696 loss_cls: 2.9963 loss_bbox: 1.5733 2024/10/27 05:47:47 - mmengine - INFO - Epoch(train) [71][2650/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:29:01 time: 0.2493 data_time: 0.0240 memory: 2049 grad_norm: 3.4993 loss: 4.4897 loss_cls: 2.9326 loss_bbox: 1.5571 2024/10/27 05:48:00 - mmengine - INFO - Epoch(train) [71][2700/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:28:48 time: 0.2457 data_time: 0.0239 memory: 2049 grad_norm: 3.3830 loss: 4.5917 loss_cls: 2.9908 loss_bbox: 1.6009 2024/10/27 05:48:12 - mmengine - INFO - Epoch(train) [71][2750/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:28:36 time: 0.2537 data_time: 0.0251 memory: 2049 grad_norm: 3.5307 loss: 4.5697 loss_cls: 2.9673 loss_bbox: 1.6025 2024/10/27 05:48:25 - mmengine - INFO - Epoch(train) [71][2800/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:28:23 time: 0.2488 data_time: 0.0322 memory: 2049 grad_norm: 3.3196 loss: 4.5432 loss_cls: 2.9333 loss_bbox: 1.6099 2024/10/27 05:48:38 - mmengine - INFO - Epoch(train) [71][2850/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:28:11 time: 0.2573 data_time: 0.0238 memory: 2049 grad_norm: 3.4864 loss: 4.5455 loss_cls: 2.9465 loss_bbox: 1.5990 2024/10/27 05:48:50 - mmengine - INFO - Epoch(train) [71][2900/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:27:58 time: 0.2515 data_time: 0.0325 memory: 2049 grad_norm: 3.3698 loss: 4.5023 loss_cls: 2.8986 loss_bbox: 1.6037 2024/10/27 05:49:03 - mmengine - INFO - Epoch(train) [71][2950/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:27:46 time: 0.2586 data_time: 0.0236 memory: 2049 grad_norm: 3.3631 loss: 4.5720 loss_cls: 2.9520 loss_bbox: 1.6200 2024/10/27 05:49:18 - mmengine - INFO - Epoch(train) [71][3000/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:27:35 time: 0.2931 data_time: 0.0611 memory: 2049 grad_norm: 3.4683 loss: 4.5934 loss_cls: 2.9623 loss_bbox: 1.6311 2024/10/27 05:49:31 - mmengine - INFO - Epoch(train) [71][3050/3054] base_lr: 2.2392e-03 lr: 2.2392e-03 eta: 10:27:23 time: 0.2558 data_time: 0.0236 memory: 2049 grad_norm: 3.2484 loss: 4.4514 loss_cls: 2.9073 loss_bbox: 1.5441 2024/10/27 05:49:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:49:32 - mmengine - INFO - Saving checkpoint at 71 epochs 2024/10/27 05:49:48 - mmengine - INFO - Epoch(train) [72][ 50/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:27:10 time: 0.2637 data_time: 0.0372 memory: 2049 grad_norm: 3.7341 loss: 4.6099 loss_cls: 2.9914 loss_bbox: 1.6185 2024/10/27 05:50:00 - mmengine - INFO - Epoch(train) [72][ 100/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:26:57 time: 0.2460 data_time: 0.0405 memory: 2049 grad_norm: 3.7916 loss: 4.4169 loss_cls: 2.8943 loss_bbox: 1.5226 2024/10/27 05:50:13 - mmengine - INFO - Epoch(train) [72][ 150/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:26:44 time: 0.2485 data_time: 0.0259 memory: 2049 grad_norm: 3.2738 loss: 4.4982 loss_cls: 2.9198 loss_bbox: 1.5784 2024/10/27 05:50:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:50:25 - mmengine - INFO - Epoch(train) [72][ 200/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:26:32 time: 0.2508 data_time: 0.0320 memory: 2049 grad_norm: 3.2762 loss: 4.5302 loss_cls: 2.9151 loss_bbox: 1.6151 2024/10/27 05:50:37 - mmengine - INFO - Epoch(train) [72][ 250/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:26:19 time: 0.2439 data_time: 0.0336 memory: 2049 grad_norm: 3.1476 loss: 4.5512 loss_cls: 2.9937 loss_bbox: 1.5574 2024/10/27 05:50:50 - mmengine - INFO - Epoch(train) [72][ 300/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:26:06 time: 0.2461 data_time: 0.0263 memory: 2049 grad_norm: 3.5882 loss: 4.6394 loss_cls: 3.0201 loss_bbox: 1.6193 2024/10/27 05:51:02 - mmengine - INFO - Epoch(train) [72][ 350/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:25:53 time: 0.2504 data_time: 0.0360 memory: 2049 grad_norm: 3.2917 loss: 4.4199 loss_cls: 2.8983 loss_bbox: 1.5217 2024/10/27 05:51:17 - mmengine - INFO - Epoch(train) [72][ 400/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:25:43 time: 0.3024 data_time: 0.0769 memory: 2049 grad_norm: 3.3594 loss: 4.5191 loss_cls: 2.9570 loss_bbox: 1.5621 2024/10/27 05:51:30 - mmengine - INFO - Epoch(train) [72][ 450/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:25:31 time: 0.2526 data_time: 0.0256 memory: 2049 grad_norm: 3.2494 loss: 4.5723 loss_cls: 2.9649 loss_bbox: 1.6074 2024/10/27 05:51:42 - mmengine - INFO - Epoch(train) [72][ 500/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:25:18 time: 0.2480 data_time: 0.0342 memory: 2049 grad_norm: 3.6340 loss: 4.5409 loss_cls: 2.9516 loss_bbox: 1.5893 2024/10/27 05:51:55 - mmengine - INFO - Epoch(train) [72][ 550/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:25:05 time: 0.2535 data_time: 0.0258 memory: 2049 grad_norm: 3.4095 loss: 4.6021 loss_cls: 2.9935 loss_bbox: 1.6085 2024/10/27 05:52:08 - mmengine - INFO - Epoch(train) [72][ 600/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:24:53 time: 0.2483 data_time: 0.0279 memory: 2049 grad_norm: 3.1466 loss: 4.5319 loss_cls: 2.9137 loss_bbox: 1.6182 2024/10/27 05:52:21 - mmengine - INFO - Epoch(train) [72][ 650/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:24:41 time: 0.2696 data_time: 0.0293 memory: 2049 grad_norm: 3.4333 loss: 4.5153 loss_cls: 2.9706 loss_bbox: 1.5447 2024/10/27 05:52:34 - mmengine - INFO - Epoch(train) [72][ 700/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:24:28 time: 0.2519 data_time: 0.0261 memory: 2049 grad_norm: 3.3796 loss: 4.6001 loss_cls: 2.9732 loss_bbox: 1.6269 2024/10/27 05:52:46 - mmengine - INFO - Epoch(train) [72][ 750/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:24:15 time: 0.2462 data_time: 0.0281 memory: 2049 grad_norm: 3.4405 loss: 4.5042 loss_cls: 2.9163 loss_bbox: 1.5879 2024/10/27 05:52:58 - mmengine - INFO - Epoch(train) [72][ 800/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:24:03 time: 0.2492 data_time: 0.0223 memory: 2049 grad_norm: 3.3973 loss: 4.4503 loss_cls: 2.9246 loss_bbox: 1.5257 2024/10/27 05:53:10 - mmengine - INFO - Epoch(train) [72][ 850/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:23:50 time: 0.2381 data_time: 0.0222 memory: 2049 grad_norm: 3.5265 loss: 4.5619 loss_cls: 2.9727 loss_bbox: 1.5892 2024/10/27 05:53:23 - mmengine - INFO - Epoch(train) [72][ 900/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:23:37 time: 0.2597 data_time: 0.0224 memory: 2049 grad_norm: 3.3515 loss: 4.6259 loss_cls: 2.9929 loss_bbox: 1.6330 2024/10/27 05:53:36 - mmengine - INFO - Epoch(train) [72][ 950/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:23:25 time: 0.2474 data_time: 0.0240 memory: 2049 grad_norm: 3.5394 loss: 4.5588 loss_cls: 2.9696 loss_bbox: 1.5892 2024/10/27 05:53:48 - mmengine - INFO - Epoch(train) [72][1000/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:23:12 time: 0.2405 data_time: 0.0221 memory: 2049 grad_norm: 3.3210 loss: 4.5292 loss_cls: 2.9174 loss_bbox: 1.6118 2024/10/27 05:54:01 - mmengine - INFO - Epoch(train) [72][1050/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:22:59 time: 0.2611 data_time: 0.0230 memory: 2049 grad_norm: 3.4500 loss: 4.5666 loss_cls: 2.9739 loss_bbox: 1.5927 2024/10/27 05:54:13 - mmengine - INFO - Epoch(train) [72][1100/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:22:46 time: 0.2339 data_time: 0.0232 memory: 2049 grad_norm: 3.4926 loss: 4.5584 loss_cls: 2.9560 loss_bbox: 1.6023 2024/10/27 05:54:25 - mmengine - INFO - Epoch(train) [72][1150/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:22:33 time: 0.2501 data_time: 0.0228 memory: 2049 grad_norm: 3.6586 loss: 4.5890 loss_cls: 2.9656 loss_bbox: 1.6234 2024/10/27 05:54:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:54:37 - mmengine - INFO - Epoch(train) [72][1200/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:22:20 time: 0.2426 data_time: 0.0226 memory: 2049 grad_norm: 3.4605 loss: 4.4592 loss_cls: 2.8763 loss_bbox: 1.5828 2024/10/27 05:54:49 - mmengine - INFO - Epoch(train) [72][1250/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:22:07 time: 0.2406 data_time: 0.0295 memory: 2049 grad_norm: 3.4123 loss: 4.5636 loss_cls: 2.9479 loss_bbox: 1.6157 2024/10/27 05:55:02 - mmengine - INFO - Epoch(train) [72][1300/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:21:55 time: 0.2570 data_time: 0.0238 memory: 2049 grad_norm: 3.2539 loss: 4.5281 loss_cls: 2.9466 loss_bbox: 1.5815 2024/10/27 05:55:16 - mmengine - INFO - Epoch(train) [72][1350/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:21:44 time: 0.2851 data_time: 0.0720 memory: 2049 grad_norm: 3.3371 loss: 4.4543 loss_cls: 2.9219 loss_bbox: 1.5324 2024/10/27 05:55:30 - mmengine - INFO - Epoch(train) [72][1400/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:21:32 time: 0.2627 data_time: 0.0223 memory: 2049 grad_norm: 3.3702 loss: 4.5356 loss_cls: 2.9431 loss_bbox: 1.5925 2024/10/27 05:55:41 - mmengine - INFO - Epoch(train) [72][1450/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:21:19 time: 0.2382 data_time: 0.0229 memory: 2049 grad_norm: 3.5409 loss: 4.5978 loss_cls: 2.9287 loss_bbox: 1.6691 2024/10/27 05:55:54 - mmengine - INFO - Epoch(train) [72][1500/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:21:06 time: 0.2472 data_time: 0.0271 memory: 2049 grad_norm: 3.3173 loss: 4.4325 loss_cls: 2.8960 loss_bbox: 1.5365 2024/10/27 05:56:07 - mmengine - INFO - Epoch(train) [72][1550/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:20:54 time: 0.2589 data_time: 0.0236 memory: 2049 grad_norm: 3.5724 loss: 4.6513 loss_cls: 3.0183 loss_bbox: 1.6330 2024/10/27 05:56:19 - mmengine - INFO - Epoch(train) [72][1600/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:20:40 time: 0.2353 data_time: 0.0226 memory: 2049 grad_norm: 3.3594 loss: 4.4734 loss_cls: 2.9051 loss_bbox: 1.5683 2024/10/27 05:56:32 - mmengine - INFO - Epoch(train) [72][1650/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:20:28 time: 0.2671 data_time: 0.0271 memory: 2049 grad_norm: 3.4420 loss: 4.4947 loss_cls: 2.9309 loss_bbox: 1.5637 2024/10/27 05:56:44 - mmengine - INFO - Epoch(train) [72][1700/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:20:15 time: 0.2375 data_time: 0.0218 memory: 2049 grad_norm: 3.4273 loss: 4.5182 loss_cls: 2.9763 loss_bbox: 1.5419 2024/10/27 05:56:56 - mmengine - INFO - Epoch(train) [72][1750/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:20:03 time: 0.2485 data_time: 0.0220 memory: 2049 grad_norm: 3.3531 loss: 4.6040 loss_cls: 2.9939 loss_bbox: 1.6101 2024/10/27 05:57:09 - mmengine - INFO - Epoch(train) [72][1800/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:19:50 time: 0.2583 data_time: 0.0226 memory: 2049 grad_norm: 3.6002 loss: 4.4956 loss_cls: 2.9384 loss_bbox: 1.5572 2024/10/27 05:57:21 - mmengine - INFO - Epoch(train) [72][1850/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:19:37 time: 0.2387 data_time: 0.0236 memory: 2049 grad_norm: 3.4822 loss: 4.5617 loss_cls: 2.9698 loss_bbox: 1.5919 2024/10/27 05:57:35 - mmengine - INFO - Epoch(train) [72][1900/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:19:25 time: 0.2708 data_time: 0.0293 memory: 2049 grad_norm: 3.4578 loss: 4.4998 loss_cls: 2.9573 loss_bbox: 1.5425 2024/10/27 05:57:46 - mmengine - INFO - Epoch(train) [72][1950/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:19:12 time: 0.2321 data_time: 0.0218 memory: 2049 grad_norm: 3.5642 loss: 4.4960 loss_cls: 2.9365 loss_bbox: 1.5595 2024/10/27 05:57:59 - mmengine - INFO - Epoch(train) [72][2000/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:18:59 time: 0.2520 data_time: 0.0295 memory: 2049 grad_norm: 3.5857 loss: 4.4494 loss_cls: 2.8875 loss_bbox: 1.5619 2024/10/27 05:58:12 - mmengine - INFO - Epoch(train) [72][2050/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:18:47 time: 0.2530 data_time: 0.0217 memory: 2049 grad_norm: 3.5801 loss: 4.4678 loss_cls: 2.9318 loss_bbox: 1.5360 2024/10/27 05:58:23 - mmengine - INFO - Epoch(train) [72][2100/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:18:33 time: 0.2297 data_time: 0.0231 memory: 2049 grad_norm: 3.1842 loss: 4.6245 loss_cls: 3.0521 loss_bbox: 1.5725 2024/10/27 05:58:37 - mmengine - INFO - Epoch(train) [72][2150/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:18:22 time: 0.2770 data_time: 0.0282 memory: 2049 grad_norm: 3.2768 loss: 4.5813 loss_cls: 2.9770 loss_bbox: 1.6043 2024/10/27 05:58:41 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 05:58:48 - mmengine - INFO - Epoch(train) [72][2200/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:18:08 time: 0.2291 data_time: 0.0220 memory: 2049 grad_norm: 3.5273 loss: 4.6351 loss_cls: 2.9950 loss_bbox: 1.6401 2024/10/27 05:59:01 - mmengine - INFO - Epoch(train) [72][2250/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:17:56 time: 0.2528 data_time: 0.0270 memory: 2049 grad_norm: 3.2531 loss: 4.5084 loss_cls: 2.9297 loss_bbox: 1.5787 2024/10/27 05:59:13 - mmengine - INFO - Epoch(train) [72][2300/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:17:43 time: 0.2452 data_time: 0.0208 memory: 2049 grad_norm: 3.1257 loss: 4.5934 loss_cls: 2.9918 loss_bbox: 1.6016 2024/10/27 05:59:25 - mmengine - INFO - Epoch(train) [72][2350/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:17:30 time: 0.2367 data_time: 0.0207 memory: 2049 grad_norm: 3.7187 loss: 4.5253 loss_cls: 2.9371 loss_bbox: 1.5881 2024/10/27 05:59:39 - mmengine - INFO - Epoch(train) [72][2400/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:17:18 time: 0.2771 data_time: 0.0238 memory: 2049 grad_norm: 3.4965 loss: 4.4956 loss_cls: 2.9549 loss_bbox: 1.5407 2024/10/27 05:59:51 - mmengine - INFO - Epoch(train) [72][2450/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:17:05 time: 0.2309 data_time: 0.0205 memory: 2049 grad_norm: 3.3728 loss: 4.5070 loss_cls: 2.9408 loss_bbox: 1.5662 2024/10/27 06:00:03 - mmengine - INFO - Epoch(train) [72][2500/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:16:52 time: 0.2549 data_time: 0.0244 memory: 2049 grad_norm: 3.5415 loss: 4.5023 loss_cls: 2.9393 loss_bbox: 1.5630 2024/10/27 06:00:17 - mmengine - INFO - Epoch(train) [72][2550/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:16:41 time: 0.2713 data_time: 0.0483 memory: 2049 grad_norm: 3.5306 loss: 4.5725 loss_cls: 2.9657 loss_bbox: 1.6068 2024/10/27 06:00:28 - mmengine - INFO - Epoch(train) [72][2600/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:16:27 time: 0.2315 data_time: 0.0216 memory: 2049 grad_norm: 3.4608 loss: 4.5409 loss_cls: 2.9365 loss_bbox: 1.6044 2024/10/27 06:00:42 - mmengine - INFO - Epoch(train) [72][2650/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:16:16 time: 0.2724 data_time: 0.0207 memory: 2049 grad_norm: 3.8264 loss: 4.5287 loss_cls: 2.9129 loss_bbox: 1.6158 2024/10/27 06:00:54 - mmengine - INFO - Epoch(train) [72][2700/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:16:02 time: 0.2376 data_time: 0.0295 memory: 2049 grad_norm: 3.4541 loss: 4.5784 loss_cls: 2.9925 loss_bbox: 1.5860 2024/10/27 06:01:07 - mmengine - INFO - Epoch(train) [72][2750/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:15:50 time: 0.2552 data_time: 0.0196 memory: 2049 grad_norm: 3.4882 loss: 4.4955 loss_cls: 2.9257 loss_bbox: 1.5698 2024/10/27 06:01:19 - mmengine - INFO - Epoch(train) [72][2800/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:15:37 time: 0.2496 data_time: 0.0195 memory: 2049 grad_norm: 3.4849 loss: 4.5869 loss_cls: 2.9324 loss_bbox: 1.6544 2024/10/27 06:01:31 - mmengine - INFO - Epoch(train) [72][2850/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:15:24 time: 0.2344 data_time: 0.0247 memory: 2049 grad_norm: 3.4140 loss: 4.5180 loss_cls: 2.9608 loss_bbox: 1.5572 2024/10/27 06:01:44 - mmengine - INFO - Epoch(train) [72][2900/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:15:12 time: 0.2691 data_time: 0.0198 memory: 2049 grad_norm: 3.4210 loss: 4.5677 loss_cls: 2.9921 loss_bbox: 1.5756 2024/10/27 06:01:56 - mmengine - INFO - Epoch(train) [72][2950/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:14:59 time: 0.2304 data_time: 0.0203 memory: 2049 grad_norm: 3.3643 loss: 4.5048 loss_cls: 2.9378 loss_bbox: 1.5670 2024/10/27 06:02:09 - mmengine - INFO - Epoch(train) [72][3000/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:14:47 time: 0.2669 data_time: 0.0272 memory: 2049 grad_norm: 3.5332 loss: 4.4834 loss_cls: 2.8651 loss_bbox: 1.6184 2024/10/27 06:02:22 - mmengine - INFO - Epoch(train) [72][3050/3054] base_lr: 2.2064e-03 lr: 2.2064e-03 eta: 10:14:34 time: 0.2482 data_time: 0.0193 memory: 2049 grad_norm: 3.5596 loss: 4.5580 loss_cls: 2.9486 loss_bbox: 1.6094 2024/10/27 06:02:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:02:23 - mmengine - INFO - Saving checkpoint at 72 epochs 2024/10/27 06:02:38 - mmengine - INFO - Epoch(train) [73][ 50/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:14:20 time: 0.2457 data_time: 0.0317 memory: 2049 grad_norm: 3.4413 loss: 4.5431 loss_cls: 2.9691 loss_bbox: 1.5740 2024/10/27 06:02:50 - mmengine - INFO - Epoch(train) [73][ 100/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:14:08 time: 0.2501 data_time: 0.0230 memory: 2049 grad_norm: 3.4033 loss: 4.5079 loss_cls: 2.9523 loss_bbox: 1.5556 2024/10/27 06:02:53 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:03:02 - mmengine - INFO - Epoch(train) [73][ 150/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:13:54 time: 0.2298 data_time: 0.0295 memory: 2049 grad_norm: 3.2593 loss: 4.5060 loss_cls: 2.9286 loss_bbox: 1.5773 2024/10/27 06:03:18 - mmengine - INFO - Epoch(train) [73][ 200/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:13:45 time: 0.3268 data_time: 0.0894 memory: 2049 grad_norm: 3.4496 loss: 4.4880 loss_cls: 2.9014 loss_bbox: 1.5866 2024/10/27 06:03:29 - mmengine - INFO - Epoch(train) [73][ 250/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:13:31 time: 0.2284 data_time: 0.0230 memory: 2049 grad_norm: 3.4348 loss: 4.5706 loss_cls: 2.9404 loss_bbox: 1.6303 2024/10/27 06:03:41 - mmengine - INFO - Epoch(train) [73][ 300/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:13:18 time: 0.2319 data_time: 0.0231 memory: 2049 grad_norm: 3.1192 loss: 4.4988 loss_cls: 2.9356 loss_bbox: 1.5632 2024/10/27 06:03:53 - mmengine - INFO - Epoch(train) [73][ 350/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:13:05 time: 0.2500 data_time: 0.0241 memory: 2049 grad_norm: 3.4412 loss: 4.5632 loss_cls: 2.9696 loss_bbox: 1.5936 2024/10/27 06:04:05 - mmengine - INFO - Epoch(train) [73][ 400/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:12:52 time: 0.2275 data_time: 0.0288 memory: 2049 grad_norm: 3.5762 loss: 4.5692 loss_cls: 2.9551 loss_bbox: 1.6141 2024/10/27 06:04:18 - mmengine - INFO - Epoch(train) [73][ 450/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:12:40 time: 0.2671 data_time: 0.0311 memory: 2049 grad_norm: 3.5145 loss: 4.5823 loss_cls: 2.9506 loss_bbox: 1.6317 2024/10/27 06:04:30 - mmengine - INFO - Epoch(train) [73][ 500/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:12:26 time: 0.2310 data_time: 0.0265 memory: 2049 grad_norm: 3.3945 loss: 4.5409 loss_cls: 2.9695 loss_bbox: 1.5714 2024/10/27 06:04:42 - mmengine - INFO - Epoch(train) [73][ 550/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:12:13 time: 0.2378 data_time: 0.0228 memory: 2049 grad_norm: 3.3207 loss: 4.5557 loss_cls: 2.9338 loss_bbox: 1.6219 2024/10/27 06:04:54 - mmengine - INFO - Epoch(train) [73][ 600/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:12:01 time: 0.2552 data_time: 0.0244 memory: 2049 grad_norm: 3.7050 loss: 4.5178 loss_cls: 2.9605 loss_bbox: 1.5572 2024/10/27 06:05:06 - mmengine - INFO - Epoch(train) [73][ 650/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:11:47 time: 0.2360 data_time: 0.0237 memory: 2049 grad_norm: 3.5576 loss: 4.6235 loss_cls: 2.9652 loss_bbox: 1.6583 2024/10/27 06:05:19 - mmengine - INFO - Epoch(train) [73][ 700/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:11:35 time: 0.2627 data_time: 0.0243 memory: 2049 grad_norm: 3.1850 loss: 4.6007 loss_cls: 3.0182 loss_bbox: 1.5825 2024/10/27 06:05:31 - mmengine - INFO - Epoch(train) [73][ 750/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:11:22 time: 0.2315 data_time: 0.0237 memory: 2049 grad_norm: 3.5126 loss: 4.5445 loss_cls: 2.9987 loss_bbox: 1.5459 2024/10/27 06:05:43 - mmengine - INFO - Epoch(train) [73][ 800/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:11:08 time: 0.2333 data_time: 0.0237 memory: 2049 grad_norm: 3.3141 loss: 4.5092 loss_cls: 2.9218 loss_bbox: 1.5875 2024/10/27 06:05:55 - mmengine - INFO - Epoch(train) [73][ 850/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:10:56 time: 0.2445 data_time: 0.0237 memory: 2049 grad_norm: 3.6117 loss: 4.4896 loss_cls: 2.9099 loss_bbox: 1.5797 2024/10/27 06:06:06 - mmengine - INFO - Epoch(train) [73][ 900/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:10:42 time: 0.2300 data_time: 0.0242 memory: 2049 grad_norm: 3.3518 loss: 4.6226 loss_cls: 2.9758 loss_bbox: 1.6468 2024/10/27 06:06:19 - mmengine - INFO - Epoch(train) [73][ 950/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:10:30 time: 0.2550 data_time: 0.0245 memory: 2049 grad_norm: 3.5171 loss: 4.4661 loss_cls: 2.8956 loss_bbox: 1.5705 2024/10/27 06:06:31 - mmengine - INFO - Epoch(train) [73][1000/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:10:16 time: 0.2295 data_time: 0.0260 memory: 2049 grad_norm: 3.2853 loss: 4.5115 loss_cls: 2.9307 loss_bbox: 1.5808 2024/10/27 06:06:43 - mmengine - INFO - Epoch(train) [73][1050/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:10:03 time: 0.2391 data_time: 0.0239 memory: 2049 grad_norm: 3.3735 loss: 4.5321 loss_cls: 2.9126 loss_bbox: 1.6194 2024/10/27 06:06:55 - mmengine - INFO - Epoch(train) [73][1100/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:09:50 time: 0.2413 data_time: 0.0240 memory: 2049 grad_norm: 3.4632 loss: 4.5097 loss_cls: 2.9443 loss_bbox: 1.5654 2024/10/27 06:06:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:07:06 - mmengine - INFO - Epoch(train) [73][1150/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:09:36 time: 0.2294 data_time: 0.0244 memory: 2049 grad_norm: 3.4425 loss: 4.5777 loss_cls: 2.9655 loss_bbox: 1.6122 2024/10/27 06:07:19 - mmengine - INFO - Epoch(train) [73][1200/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:09:24 time: 0.2568 data_time: 0.0311 memory: 2049 grad_norm: 3.7776 loss: 4.5815 loss_cls: 2.9853 loss_bbox: 1.5962 2024/10/27 06:07:31 - mmengine - INFO - Epoch(train) [73][1250/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:09:11 time: 0.2317 data_time: 0.0257 memory: 2049 grad_norm: 3.1450 loss: 4.6217 loss_cls: 2.9562 loss_bbox: 1.6655 2024/10/27 06:07:42 - mmengine - INFO - Epoch(train) [73][1300/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:08:57 time: 0.2349 data_time: 0.0253 memory: 2049 grad_norm: 3.4041 loss: 4.6459 loss_cls: 3.0193 loss_bbox: 1.6266 2024/10/27 06:07:55 - mmengine - INFO - Epoch(train) [73][1350/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:08:45 time: 0.2469 data_time: 0.0233 memory: 2049 grad_norm: 3.3864 loss: 4.4239 loss_cls: 2.9110 loss_bbox: 1.5130 2024/10/27 06:08:06 - mmengine - INFO - Epoch(train) [73][1400/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:08:31 time: 0.2233 data_time: 0.0235 memory: 2049 grad_norm: 3.6643 loss: 4.4551 loss_cls: 2.8808 loss_bbox: 1.5743 2024/10/27 06:08:19 - mmengine - INFO - Epoch(train) [73][1450/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:08:18 time: 0.2577 data_time: 0.0283 memory: 2049 grad_norm: 3.5378 loss: 4.5170 loss_cls: 2.9643 loss_bbox: 1.5527 2024/10/27 06:08:30 - mmengine - INFO - Epoch(train) [73][1500/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:08:05 time: 0.2337 data_time: 0.0233 memory: 2049 grad_norm: 3.3444 loss: 4.5322 loss_cls: 2.9535 loss_bbox: 1.5786 2024/10/27 06:08:43 - mmengine - INFO - Epoch(train) [73][1550/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:07:52 time: 0.2467 data_time: 0.0269 memory: 2049 grad_norm: 3.3351 loss: 4.5037 loss_cls: 2.9423 loss_bbox: 1.5614 2024/10/27 06:08:56 - mmengine - INFO - Epoch(train) [73][1600/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:07:40 time: 0.2577 data_time: 0.0302 memory: 2049 grad_norm: 3.6033 loss: 4.5566 loss_cls: 2.9589 loss_bbox: 1.5977 2024/10/27 06:09:08 - mmengine - INFO - Epoch(train) [73][1650/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:07:27 time: 0.2366 data_time: 0.0266 memory: 2049 grad_norm: 3.6030 loss: 4.5173 loss_cls: 2.9327 loss_bbox: 1.5846 2024/10/27 06:09:20 - mmengine - INFO - Epoch(train) [73][1700/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:07:14 time: 0.2460 data_time: 0.0290 memory: 2049 grad_norm: 3.6985 loss: 4.5917 loss_cls: 2.9753 loss_bbox: 1.6164 2024/10/27 06:09:32 - mmengine - INFO - Epoch(train) [73][1750/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:07:01 time: 0.2450 data_time: 0.0291 memory: 2049 grad_norm: 3.2014 loss: 4.4511 loss_cls: 2.9163 loss_bbox: 1.5348 2024/10/27 06:09:45 - mmengine - INFO - Epoch(train) [73][1800/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:06:49 time: 0.2531 data_time: 0.0234 memory: 2049 grad_norm: 3.2647 loss: 4.4790 loss_cls: 2.9423 loss_bbox: 1.5368 2024/10/27 06:09:57 - mmengine - INFO - Epoch(train) [73][1850/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:06:36 time: 0.2532 data_time: 0.0238 memory: 2049 grad_norm: 3.5605 loss: 4.6844 loss_cls: 3.0216 loss_bbox: 1.6628 2024/10/27 06:10:10 - mmengine - INFO - Epoch(train) [73][1900/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:06:23 time: 0.2476 data_time: 0.0263 memory: 2049 grad_norm: 3.5921 loss: 4.5672 loss_cls: 2.9685 loss_bbox: 1.5987 2024/10/27 06:10:22 - mmengine - INFO - Epoch(train) [73][1950/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:06:11 time: 0.2517 data_time: 0.0309 memory: 2049 grad_norm: 3.4212 loss: 4.6228 loss_cls: 2.9660 loss_bbox: 1.6568 2024/10/27 06:10:35 - mmengine - INFO - Epoch(train) [73][2000/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:05:58 time: 0.2518 data_time: 0.0228 memory: 2049 grad_norm: 3.6095 loss: 4.4497 loss_cls: 2.9002 loss_bbox: 1.5495 2024/10/27 06:10:47 - mmengine - INFO - Epoch(train) [73][2050/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:05:45 time: 0.2448 data_time: 0.0229 memory: 2049 grad_norm: 3.4360 loss: 4.4911 loss_cls: 2.9250 loss_bbox: 1.5660 2024/10/27 06:11:00 - mmengine - INFO - Epoch(train) [73][2100/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:05:33 time: 0.2631 data_time: 0.0283 memory: 2049 grad_norm: 3.6048 loss: 4.5023 loss_cls: 2.9601 loss_bbox: 1.5422 2024/10/27 06:11:03 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:11:13 - mmengine - INFO - Epoch(train) [73][2150/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:05:20 time: 0.2433 data_time: 0.0269 memory: 2049 grad_norm: 3.2467 loss: 4.5368 loss_cls: 2.9609 loss_bbox: 1.5758 2024/10/27 06:11:25 - mmengine - INFO - Epoch(train) [73][2200/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:05:08 time: 0.2555 data_time: 0.0257 memory: 2049 grad_norm: 3.3872 loss: 4.5946 loss_cls: 2.9866 loss_bbox: 1.6080 2024/10/27 06:11:37 - mmengine - INFO - Epoch(train) [73][2250/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:04:55 time: 0.2423 data_time: 0.0284 memory: 2049 grad_norm: 3.5454 loss: 4.5654 loss_cls: 2.9724 loss_bbox: 1.5930 2024/10/27 06:11:50 - mmengine - INFO - Epoch(train) [73][2300/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:04:42 time: 0.2434 data_time: 0.0236 memory: 2049 grad_norm: 3.4753 loss: 4.5795 loss_cls: 2.9592 loss_bbox: 1.6203 2024/10/27 06:12:03 - mmengine - INFO - Epoch(train) [73][2350/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:04:30 time: 0.2576 data_time: 0.0241 memory: 2049 grad_norm: 3.4897 loss: 4.4611 loss_cls: 2.9240 loss_bbox: 1.5371 2024/10/27 06:12:17 - mmengine - INFO - Epoch(train) [73][2400/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:04:19 time: 0.2889 data_time: 0.0676 memory: 2049 grad_norm: 3.6716 loss: 4.4883 loss_cls: 2.9686 loss_bbox: 1.5197 2024/10/27 06:12:30 - mmengine - INFO - Epoch(train) [73][2450/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:04:07 time: 0.2600 data_time: 0.0225 memory: 2049 grad_norm: 3.7064 loss: 4.5132 loss_cls: 2.9508 loss_bbox: 1.5624 2024/10/27 06:12:43 - mmengine - INFO - Epoch(train) [73][2500/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:03:54 time: 0.2504 data_time: 0.0299 memory: 2049 grad_norm: 3.3940 loss: 4.4930 loss_cls: 2.9570 loss_bbox: 1.5360 2024/10/27 06:12:55 - mmengine - INFO - Epoch(train) [73][2550/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:03:42 time: 0.2538 data_time: 0.0229 memory: 2049 grad_norm: 3.4107 loss: 4.5558 loss_cls: 2.9747 loss_bbox: 1.5811 2024/10/27 06:13:08 - mmengine - INFO - Epoch(train) [73][2600/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:03:29 time: 0.2638 data_time: 0.0229 memory: 2049 grad_norm: 3.6208 loss: 4.5303 loss_cls: 2.9578 loss_bbox: 1.5725 2024/10/27 06:13:21 - mmengine - INFO - Epoch(train) [73][2650/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:03:17 time: 0.2473 data_time: 0.0227 memory: 2049 grad_norm: 3.1959 loss: 4.4458 loss_cls: 2.9131 loss_bbox: 1.5327 2024/10/27 06:13:34 - mmengine - INFO - Epoch(train) [73][2700/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:03:05 time: 0.2600 data_time: 0.0223 memory: 2049 grad_norm: 3.5606 loss: 4.5174 loss_cls: 2.9391 loss_bbox: 1.5784 2024/10/27 06:13:46 - mmengine - INFO - Epoch(train) [73][2750/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:02:52 time: 0.2515 data_time: 0.0227 memory: 2049 grad_norm: 3.3988 loss: 4.5448 loss_cls: 2.9387 loss_bbox: 1.6061 2024/10/27 06:13:59 - mmengine - INFO - Epoch(train) [73][2800/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:02:39 time: 0.2511 data_time: 0.0292 memory: 2049 grad_norm: 3.3469 loss: 4.4745 loss_cls: 2.9229 loss_bbox: 1.5517 2024/10/27 06:14:12 - mmengine - INFO - Epoch(train) [73][2850/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:02:28 time: 0.2682 data_time: 0.0224 memory: 2049 grad_norm: 3.5846 loss: 4.4659 loss_cls: 2.9571 loss_bbox: 1.5088 2024/10/27 06:14:25 - mmengine - INFO - Epoch(train) [73][2900/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:02:15 time: 0.2482 data_time: 0.0224 memory: 2049 grad_norm: 3.2010 loss: 4.4845 loss_cls: 2.9286 loss_bbox: 1.5559 2024/10/27 06:14:37 - mmengine - INFO - Epoch(train) [73][2950/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:02:02 time: 0.2467 data_time: 0.0229 memory: 2049 grad_norm: 3.7314 loss: 4.5003 loss_cls: 2.9301 loss_bbox: 1.5701 2024/10/27 06:14:50 - mmengine - INFO - Epoch(train) [73][3000/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:01:50 time: 0.2559 data_time: 0.0297 memory: 2049 grad_norm: 3.4439 loss: 4.4104 loss_cls: 2.8732 loss_bbox: 1.5373 2024/10/27 06:15:03 - mmengine - INFO - Epoch(train) [73][3050/3054] base_lr: 2.1708e-03 lr: 2.1708e-03 eta: 10:01:37 time: 0.2553 data_time: 0.0239 memory: 2049 grad_norm: 3.4645 loss: 4.5319 loss_cls: 2.9582 loss_bbox: 1.5737 2024/10/27 06:15:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:15:06 - mmengine - INFO - Saving checkpoint at 73 epochs 2024/10/27 06:15:21 - mmengine - INFO - Epoch(train) [74][ 50/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 10:01:26 time: 0.2576 data_time: 0.0320 memory: 2049 grad_norm: 3.5642 loss: 4.6137 loss_cls: 2.9993 loss_bbox: 1.6144 2024/10/27 06:15:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:15:33 - mmengine - INFO - Epoch(train) [74][ 100/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 10:01:13 time: 0.2438 data_time: 0.0262 memory: 2049 grad_norm: 3.8061 loss: 4.5948 loss_cls: 2.9854 loss_bbox: 1.6094 2024/10/27 06:15:46 - mmengine - INFO - Epoch(train) [74][ 150/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 10:01:00 time: 0.2484 data_time: 0.0240 memory: 2049 grad_norm: 3.4200 loss: 4.6334 loss_cls: 3.0230 loss_bbox: 1.6104 2024/10/27 06:15:58 - mmengine - INFO - Epoch(train) [74][ 200/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 10:00:47 time: 0.2397 data_time: 0.0228 memory: 2049 grad_norm: 3.3820 loss: 4.6093 loss_cls: 2.9714 loss_bbox: 1.6379 2024/10/27 06:16:10 - mmengine - INFO - Epoch(train) [74][ 250/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 10:00:34 time: 0.2380 data_time: 0.0230 memory: 2049 grad_norm: 3.6253 loss: 4.6784 loss_cls: 3.0297 loss_bbox: 1.6487 2024/10/27 06:16:22 - mmengine - INFO - Epoch(train) [74][ 300/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 10:00:21 time: 0.2500 data_time: 0.0288 memory: 2049 grad_norm: 3.4369 loss: 4.5403 loss_cls: 2.9398 loss_bbox: 1.6004 2024/10/27 06:16:35 - mmengine - INFO - Epoch(train) [74][ 350/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 10:00:09 time: 0.2485 data_time: 0.0231 memory: 2049 grad_norm: 3.2602 loss: 4.5254 loss_cls: 2.9582 loss_bbox: 1.5673 2024/10/27 06:16:46 - mmengine - INFO - Epoch(train) [74][ 400/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:59:55 time: 0.2379 data_time: 0.0235 memory: 2049 grad_norm: 3.3388 loss: 4.4825 loss_cls: 2.9166 loss_bbox: 1.5659 2024/10/27 06:16:59 - mmengine - INFO - Epoch(train) [74][ 450/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:59:43 time: 0.2540 data_time: 0.0306 memory: 2049 grad_norm: 3.2675 loss: 4.5409 loss_cls: 2.9320 loss_bbox: 1.6089 2024/10/27 06:17:11 - mmengine - INFO - Epoch(train) [74][ 500/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:59:30 time: 0.2367 data_time: 0.0235 memory: 2049 grad_norm: 3.4694 loss: 4.5763 loss_cls: 2.9724 loss_bbox: 1.6039 2024/10/27 06:17:24 - mmengine - INFO - Epoch(train) [74][ 550/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:59:18 time: 0.2603 data_time: 0.0346 memory: 2049 grad_norm: 3.4894 loss: 4.4984 loss_cls: 2.9157 loss_bbox: 1.5827 2024/10/27 06:17:37 - mmengine - INFO - Epoch(train) [74][ 600/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:59:05 time: 0.2540 data_time: 0.0338 memory: 2049 grad_norm: 3.3469 loss: 4.5751 loss_cls: 2.9787 loss_bbox: 1.5964 2024/10/27 06:17:49 - mmengine - INFO - Epoch(train) [74][ 650/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:58:52 time: 0.2426 data_time: 0.0227 memory: 2049 grad_norm: 3.6683 loss: 4.4596 loss_cls: 2.8889 loss_bbox: 1.5707 2024/10/27 06:18:01 - mmengine - INFO - Epoch(train) [74][ 700/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:58:40 time: 0.2503 data_time: 0.0228 memory: 2049 grad_norm: 3.4947 loss: 4.4717 loss_cls: 2.9034 loss_bbox: 1.5683 2024/10/27 06:18:17 - mmengine - INFO - Epoch(train) [74][ 750/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:58:29 time: 0.3092 data_time: 0.0904 memory: 2049 grad_norm: 3.3246 loss: 4.5295 loss_cls: 2.9398 loss_bbox: 1.5897 2024/10/27 06:18:30 - mmengine - INFO - Epoch(train) [74][ 800/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:58:17 time: 0.2541 data_time: 0.0221 memory: 2049 grad_norm: 3.5316 loss: 4.5755 loss_cls: 2.9480 loss_bbox: 1.6275 2024/10/27 06:18:42 - mmengine - INFO - Epoch(train) [74][ 850/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:58:04 time: 0.2527 data_time: 0.0223 memory: 2049 grad_norm: 3.4654 loss: 4.5078 loss_cls: 2.8910 loss_bbox: 1.6168 2024/10/27 06:18:54 - mmengine - INFO - Epoch(train) [74][ 900/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:57:51 time: 0.2412 data_time: 0.0221 memory: 2049 grad_norm: 3.4583 loss: 4.4990 loss_cls: 2.9399 loss_bbox: 1.5591 2024/10/27 06:19:07 - mmengine - INFO - Epoch(train) [74][ 950/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:57:39 time: 0.2488 data_time: 0.0230 memory: 2049 grad_norm: 3.3336 loss: 4.5468 loss_cls: 2.9624 loss_bbox: 1.5845 2024/10/27 06:19:19 - mmengine - INFO - Epoch(train) [74][1000/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:57:26 time: 0.2484 data_time: 0.0236 memory: 2049 grad_norm: 3.6009 loss: 4.5092 loss_cls: 2.8980 loss_bbox: 1.6112 2024/10/27 06:19:32 - mmengine - INFO - Epoch(train) [74][1050/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:57:14 time: 0.2601 data_time: 0.0303 memory: 2049 grad_norm: 3.1534 loss: 4.6209 loss_cls: 3.0307 loss_bbox: 1.5902 2024/10/27 06:19:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:19:45 - mmengine - INFO - Epoch(train) [74][1100/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:57:02 time: 0.2601 data_time: 0.0223 memory: 2049 grad_norm: 3.4225 loss: 4.5547 loss_cls: 2.9481 loss_bbox: 1.6065 2024/10/27 06:19:57 - mmengine - INFO - Epoch(train) [74][1150/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:56:49 time: 0.2448 data_time: 0.0232 memory: 2049 grad_norm: 3.3295 loss: 4.4930 loss_cls: 2.9431 loss_bbox: 1.5499 2024/10/27 06:20:10 - mmengine - INFO - Epoch(train) [74][1200/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:56:36 time: 0.2469 data_time: 0.0239 memory: 2049 grad_norm: 3.1131 loss: 4.4702 loss_cls: 2.9021 loss_bbox: 1.5681 2024/10/27 06:20:22 - mmengine - INFO - Epoch(train) [74][1250/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:56:23 time: 0.2458 data_time: 0.0225 memory: 2049 grad_norm: 3.4897 loss: 4.5652 loss_cls: 2.9676 loss_bbox: 1.5976 2024/10/27 06:20:34 - mmengine - INFO - Epoch(train) [74][1300/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:56:10 time: 0.2405 data_time: 0.0238 memory: 2049 grad_norm: 3.5516 loss: 4.6211 loss_cls: 2.9985 loss_bbox: 1.6227 2024/10/27 06:20:47 - mmengine - INFO - Epoch(train) [74][1350/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:55:58 time: 0.2599 data_time: 0.0295 memory: 2049 grad_norm: 3.4737 loss: 4.5883 loss_cls: 2.9618 loss_bbox: 1.6265 2024/10/27 06:20:59 - mmengine - INFO - Epoch(train) [74][1400/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:55:45 time: 0.2384 data_time: 0.0232 memory: 2049 grad_norm: 3.5501 loss: 4.5284 loss_cls: 2.9300 loss_bbox: 1.5984 2024/10/27 06:21:11 - mmengine - INFO - Epoch(train) [74][1450/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:55:32 time: 0.2390 data_time: 0.0238 memory: 2049 grad_norm: 3.4406 loss: 4.6233 loss_cls: 3.0335 loss_bbox: 1.5898 2024/10/27 06:21:24 - mmengine - INFO - Epoch(train) [74][1500/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:55:19 time: 0.2549 data_time: 0.0239 memory: 2049 grad_norm: 3.7026 loss: 4.5987 loss_cls: 2.9773 loss_bbox: 1.6213 2024/10/27 06:21:36 - mmengine - INFO - Epoch(train) [74][1550/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:55:06 time: 0.2428 data_time: 0.0236 memory: 2049 grad_norm: 3.1484 loss: 4.5577 loss_cls: 2.9696 loss_bbox: 1.5881 2024/10/27 06:21:49 - mmengine - INFO - Epoch(train) [74][1600/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:54:54 time: 0.2549 data_time: 0.0240 memory: 2049 grad_norm: 3.4707 loss: 4.5517 loss_cls: 2.9451 loss_bbox: 1.6065 2024/10/27 06:22:01 - mmengine - INFO - Epoch(train) [74][1650/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:54:41 time: 0.2488 data_time: 0.0263 memory: 2049 grad_norm: 3.3459 loss: 4.5377 loss_cls: 2.9276 loss_bbox: 1.6101 2024/10/27 06:22:13 - mmengine - INFO - Epoch(train) [74][1700/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:54:28 time: 0.2401 data_time: 0.0238 memory: 2049 grad_norm: 3.3603 loss: 4.5631 loss_cls: 2.9451 loss_bbox: 1.6180 2024/10/27 06:22:26 - mmengine - INFO - Epoch(train) [74][1750/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:54:16 time: 0.2628 data_time: 0.0269 memory: 2049 grad_norm: 3.3708 loss: 4.4857 loss_cls: 2.9306 loss_bbox: 1.5551 2024/10/27 06:22:38 - mmengine - INFO - Epoch(train) [74][1800/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:54:03 time: 0.2371 data_time: 0.0234 memory: 2049 grad_norm: 3.6145 loss: 4.4712 loss_cls: 2.8967 loss_bbox: 1.5745 2024/10/27 06:22:51 - mmengine - INFO - Epoch(train) [74][1850/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:53:50 time: 0.2518 data_time: 0.0245 memory: 2049 grad_norm: 3.5772 loss: 4.4504 loss_cls: 2.9556 loss_bbox: 1.4948 2024/10/27 06:23:03 - mmengine - INFO - Epoch(train) [74][1900/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:53:38 time: 0.2506 data_time: 0.0318 memory: 2049 grad_norm: 3.3692 loss: 4.4367 loss_cls: 2.8856 loss_bbox: 1.5511 2024/10/27 06:23:17 - mmengine - INFO - Epoch(train) [74][1950/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:53:26 time: 0.2694 data_time: 0.0533 memory: 2049 grad_norm: 3.4287 loss: 4.4067 loss_cls: 2.8556 loss_bbox: 1.5511 2024/10/27 06:23:30 - mmengine - INFO - Epoch(train) [74][2000/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:53:14 time: 0.2635 data_time: 0.0226 memory: 2049 grad_norm: 3.7350 loss: 4.6476 loss_cls: 2.9953 loss_bbox: 1.6523 2024/10/27 06:23:43 - mmengine - INFO - Epoch(train) [74][2050/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:53:01 time: 0.2507 data_time: 0.0226 memory: 2049 grad_norm: 3.2170 loss: 4.5237 loss_cls: 2.9808 loss_bbox: 1.5429 2024/10/27 06:23:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:23:56 - mmengine - INFO - Epoch(train) [74][2100/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:52:49 time: 0.2669 data_time: 0.0242 memory: 2049 grad_norm: 3.6244 loss: 4.5569 loss_cls: 2.9194 loss_bbox: 1.6374 2024/10/27 06:24:09 - mmengine - INFO - Epoch(train) [74][2150/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:52:37 time: 0.2613 data_time: 0.0272 memory: 2049 grad_norm: 3.5461 loss: 4.6324 loss_cls: 3.0209 loss_bbox: 1.6115 2024/10/27 06:24:22 - mmengine - INFO - Epoch(train) [74][2200/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:52:25 time: 0.2623 data_time: 0.0260 memory: 2049 grad_norm: 3.8102 loss: 4.5412 loss_cls: 2.9511 loss_bbox: 1.5901 2024/10/27 06:24:36 - mmengine - INFO - Epoch(train) [74][2250/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:52:14 time: 0.2809 data_time: 0.0317 memory: 2049 grad_norm: 3.5883 loss: 4.4197 loss_cls: 2.8760 loss_bbox: 1.5437 2024/10/27 06:24:49 - mmengine - INFO - Epoch(train) [74][2300/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:52:01 time: 0.2520 data_time: 0.0250 memory: 2049 grad_norm: 3.3361 loss: 4.5226 loss_cls: 2.9320 loss_bbox: 1.5907 2024/10/27 06:25:02 - mmengine - INFO - Epoch(train) [74][2350/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:51:49 time: 0.2564 data_time: 0.0250 memory: 2049 grad_norm: 3.7976 loss: 4.4917 loss_cls: 2.9385 loss_bbox: 1.5532 2024/10/27 06:25:15 - mmengine - INFO - Epoch(train) [74][2400/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:51:36 time: 0.2603 data_time: 0.0258 memory: 2049 grad_norm: 3.6118 loss: 4.4809 loss_cls: 2.9224 loss_bbox: 1.5585 2024/10/27 06:25:28 - mmengine - INFO - Epoch(train) [74][2450/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:51:25 time: 0.2711 data_time: 0.0265 memory: 2049 grad_norm: 3.5133 loss: 4.5745 loss_cls: 2.9373 loss_bbox: 1.6371 2024/10/27 06:25:42 - mmengine - INFO - Epoch(train) [74][2500/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:51:13 time: 0.2778 data_time: 0.0253 memory: 2049 grad_norm: 3.2593 loss: 4.5461 loss_cls: 2.9693 loss_bbox: 1.5769 2024/10/27 06:25:56 - mmengine - INFO - Epoch(train) [74][2550/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:51:01 time: 0.2688 data_time: 0.0330 memory: 2049 grad_norm: 3.4458 loss: 4.3668 loss_cls: 2.8571 loss_bbox: 1.5097 2024/10/27 06:26:09 - mmengine - INFO - Epoch(train) [74][2600/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:50:49 time: 0.2644 data_time: 0.0291 memory: 2049 grad_norm: 3.4701 loss: 4.4975 loss_cls: 2.9571 loss_bbox: 1.5405 2024/10/27 06:26:23 - mmengine - INFO - Epoch(train) [74][2650/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:50:38 time: 0.2792 data_time: 0.0357 memory: 2049 grad_norm: 3.4678 loss: 4.5731 loss_cls: 2.9817 loss_bbox: 1.5914 2024/10/27 06:26:36 - mmengine - INFO - Epoch(train) [74][2700/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:50:26 time: 0.2565 data_time: 0.0242 memory: 2049 grad_norm: 3.3020 loss: 4.5192 loss_cls: 2.9294 loss_bbox: 1.5897 2024/10/27 06:26:49 - mmengine - INFO - Epoch(train) [74][2750/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:50:13 time: 0.2628 data_time: 0.0246 memory: 2049 grad_norm: 3.2304 loss: 4.6095 loss_cls: 2.9981 loss_bbox: 1.6114 2024/10/27 06:27:01 - mmengine - INFO - Epoch(train) [74][2800/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:50:01 time: 0.2504 data_time: 0.0247 memory: 2049 grad_norm: 3.6291 loss: 4.6818 loss_cls: 2.9563 loss_bbox: 1.7255 2024/10/27 06:27:15 - mmengine - INFO - Epoch(train) [74][2850/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:49:49 time: 0.2653 data_time: 0.0262 memory: 2049 grad_norm: 3.2758 loss: 4.5071 loss_cls: 2.9160 loss_bbox: 1.5911 2024/10/27 06:27:28 - mmengine - INFO - Epoch(train) [74][2900/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:49:37 time: 0.2634 data_time: 0.0246 memory: 2049 grad_norm: 3.3157 loss: 4.4466 loss_cls: 2.9287 loss_bbox: 1.5179 2024/10/27 06:27:41 - mmengine - INFO - Epoch(train) [74][2950/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:49:25 time: 0.2615 data_time: 0.0248 memory: 2049 grad_norm: 3.1919 loss: 4.4616 loss_cls: 2.9167 loss_bbox: 1.5449 2024/10/27 06:27:54 - mmengine - INFO - Epoch(train) [74][3000/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:49:12 time: 0.2544 data_time: 0.0249 memory: 2049 grad_norm: 3.3266 loss: 4.5702 loss_cls: 2.9287 loss_bbox: 1.6416 2024/10/27 06:28:06 - mmengine - INFO - Epoch(train) [74][3050/3054] base_lr: 2.1326e-03 lr: 2.1326e-03 eta: 9:49:00 time: 0.2528 data_time: 0.0280 memory: 2049 grad_norm: 3.4949 loss: 4.4508 loss_cls: 2.9068 loss_bbox: 1.5440 2024/10/27 06:28:07 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:28:07 - mmengine - INFO - Saving checkpoint at 74 epochs 2024/10/27 06:28:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:28:22 - mmengine - INFO - Epoch(train) [75][ 50/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:48:46 time: 0.2632 data_time: 0.0397 memory: 2049 grad_norm: 3.2167 loss: 4.5968 loss_cls: 2.9657 loss_bbox: 1.6310 2024/10/27 06:28:35 - mmengine - INFO - Epoch(train) [75][ 100/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:48:33 time: 0.2451 data_time: 0.0251 memory: 2049 grad_norm: 3.4378 loss: 4.4296 loss_cls: 2.8708 loss_bbox: 1.5587 2024/10/27 06:28:48 - mmengine - INFO - Epoch(train) [75][ 150/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:48:21 time: 0.2603 data_time: 0.0331 memory: 2049 grad_norm: 3.6297 loss: 4.4490 loss_cls: 2.9174 loss_bbox: 1.5316 2024/10/27 06:29:01 - mmengine - INFO - Epoch(train) [75][ 200/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:48:09 time: 0.2730 data_time: 0.0251 memory: 2049 grad_norm: 3.6328 loss: 4.5618 loss_cls: 2.9581 loss_bbox: 1.6037 2024/10/27 06:29:18 - mmengine - INFO - Epoch(train) [75][ 250/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:48:00 time: 0.3218 data_time: 0.1043 memory: 2049 grad_norm: 3.8207 loss: 4.4152 loss_cls: 2.8809 loss_bbox: 1.5343 2024/10/27 06:29:30 - mmengine - INFO - Epoch(train) [75][ 300/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:47:47 time: 0.2478 data_time: 0.0319 memory: 2049 grad_norm: 3.5712 loss: 4.4872 loss_cls: 2.9079 loss_bbox: 1.5793 2024/10/27 06:29:43 - mmengine - INFO - Epoch(train) [75][ 350/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:47:35 time: 0.2590 data_time: 0.0268 memory: 2049 grad_norm: 3.3657 loss: 4.4912 loss_cls: 2.9286 loss_bbox: 1.5627 2024/10/27 06:29:55 - mmengine - INFO - Epoch(train) [75][ 400/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:47:22 time: 0.2497 data_time: 0.0241 memory: 2049 grad_norm: 3.4852 loss: 4.4997 loss_cls: 2.8894 loss_bbox: 1.6104 2024/10/27 06:30:09 - mmengine - INFO - Epoch(train) [75][ 450/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:47:10 time: 0.2701 data_time: 0.0249 memory: 2049 grad_norm: 3.5757 loss: 4.4585 loss_cls: 2.9288 loss_bbox: 1.5298 2024/10/27 06:30:22 - mmengine - INFO - Epoch(train) [75][ 500/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:46:58 time: 0.2625 data_time: 0.0299 memory: 2049 grad_norm: 3.5219 loss: 4.4112 loss_cls: 2.8773 loss_bbox: 1.5339 2024/10/27 06:30:35 - mmengine - INFO - Epoch(train) [75][ 550/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:46:46 time: 0.2576 data_time: 0.0363 memory: 2049 grad_norm: 3.3606 loss: 4.5674 loss_cls: 2.9306 loss_bbox: 1.6368 2024/10/27 06:30:48 - mmengine - INFO - Epoch(train) [75][ 600/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:46:34 time: 0.2602 data_time: 0.0256 memory: 2049 grad_norm: 3.7877 loss: 4.4387 loss_cls: 2.8742 loss_bbox: 1.5644 2024/10/27 06:31:01 - mmengine - INFO - Epoch(train) [75][ 650/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:46:21 time: 0.2534 data_time: 0.0320 memory: 2049 grad_norm: 3.4092 loss: 4.3873 loss_cls: 2.8531 loss_bbox: 1.5342 2024/10/27 06:31:14 - mmengine - INFO - Epoch(train) [75][ 700/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:46:09 time: 0.2582 data_time: 0.0304 memory: 2049 grad_norm: 3.6529 loss: 4.4578 loss_cls: 2.8720 loss_bbox: 1.5858 2024/10/27 06:31:26 - mmengine - INFO - Epoch(train) [75][ 750/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:45:56 time: 0.2498 data_time: 0.0250 memory: 2049 grad_norm: 3.4583 loss: 4.4908 loss_cls: 2.9081 loss_bbox: 1.5827 2024/10/27 06:31:38 - mmengine - INFO - Epoch(train) [75][ 800/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:45:43 time: 0.2435 data_time: 0.0244 memory: 2049 grad_norm: 3.3646 loss: 4.5075 loss_cls: 2.9515 loss_bbox: 1.5560 2024/10/27 06:31:52 - mmengine - INFO - Epoch(train) [75][ 850/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:45:31 time: 0.2704 data_time: 0.0308 memory: 2049 grad_norm: 3.5737 loss: 4.4886 loss_cls: 2.8936 loss_bbox: 1.5950 2024/10/27 06:32:05 - mmengine - INFO - Epoch(train) [75][ 900/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:45:19 time: 0.2584 data_time: 0.0344 memory: 2049 grad_norm: 3.3365 loss: 4.5378 loss_cls: 2.9443 loss_bbox: 1.5935 2024/10/27 06:32:18 - mmengine - INFO - Epoch(train) [75][ 950/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:45:07 time: 0.2611 data_time: 0.0236 memory: 2049 grad_norm: 3.5683 loss: 4.6187 loss_cls: 3.0087 loss_bbox: 1.6100 2024/10/27 06:32:31 - mmengine - INFO - Epoch(train) [75][1000/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:44:55 time: 0.2660 data_time: 0.0316 memory: 2049 grad_norm: 3.5644 loss: 4.4966 loss_cls: 2.9192 loss_bbox: 1.5774 2024/10/27 06:32:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:32:44 - mmengine - INFO - Epoch(train) [75][1050/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:44:43 time: 0.2600 data_time: 0.0238 memory: 2049 grad_norm: 3.5956 loss: 4.5717 loss_cls: 2.9359 loss_bbox: 1.6357 2024/10/27 06:32:58 - mmengine - INFO - Epoch(train) [75][1100/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:44:31 time: 0.2656 data_time: 0.0236 memory: 2049 grad_norm: 3.5772 loss: 4.5658 loss_cls: 2.9517 loss_bbox: 1.6141 2024/10/27 06:33:11 - mmengine - INFO - Epoch(train) [75][1150/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:44:19 time: 0.2680 data_time: 0.0263 memory: 2049 grad_norm: 3.3079 loss: 4.6688 loss_cls: 2.9556 loss_bbox: 1.7133 2024/10/27 06:33:24 - mmengine - INFO - Epoch(train) [75][1200/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:44:07 time: 0.2674 data_time: 0.0264 memory: 2049 grad_norm: 3.3616 loss: 4.5193 loss_cls: 2.9151 loss_bbox: 1.6042 2024/10/27 06:33:37 - mmengine - INFO - Epoch(train) [75][1250/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:43:55 time: 0.2619 data_time: 0.0235 memory: 2049 grad_norm: 3.2925 loss: 4.5380 loss_cls: 2.9327 loss_bbox: 1.6053 2024/10/27 06:33:51 - mmengine - INFO - Epoch(train) [75][1300/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:43:43 time: 0.2642 data_time: 0.0239 memory: 2049 grad_norm: 3.7991 loss: 4.6223 loss_cls: 2.9471 loss_bbox: 1.6752 2024/10/27 06:34:04 - mmengine - INFO - Epoch(train) [75][1350/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:43:30 time: 0.2591 data_time: 0.0242 memory: 2049 grad_norm: 3.4317 loss: 4.4932 loss_cls: 2.9175 loss_bbox: 1.5757 2024/10/27 06:34:18 - mmengine - INFO - Epoch(train) [75][1400/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:43:19 time: 0.2946 data_time: 0.0656 memory: 2049 grad_norm: 3.4517 loss: 4.6278 loss_cls: 2.9937 loss_bbox: 1.6341 2024/10/27 06:34:32 - mmengine - INFO - Epoch(train) [75][1450/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:43:08 time: 0.2726 data_time: 0.0295 memory: 2049 grad_norm: 3.3039 loss: 4.5476 loss_cls: 2.9396 loss_bbox: 1.6080 2024/10/27 06:34:46 - mmengine - INFO - Epoch(train) [75][1500/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:42:56 time: 0.2790 data_time: 0.0389 memory: 2049 grad_norm: 3.4984 loss: 4.5346 loss_cls: 2.9540 loss_bbox: 1.5806 2024/10/27 06:34:59 - mmengine - INFO - Epoch(train) [75][1550/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:42:44 time: 0.2599 data_time: 0.0240 memory: 2049 grad_norm: 3.4439 loss: 4.4791 loss_cls: 2.9147 loss_bbox: 1.5644 2024/10/27 06:35:12 - mmengine - INFO - Epoch(train) [75][1600/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:42:32 time: 0.2689 data_time: 0.0256 memory: 2049 grad_norm: 3.6771 loss: 4.5694 loss_cls: 2.9428 loss_bbox: 1.6266 2024/10/27 06:35:25 - mmengine - INFO - Epoch(train) [75][1650/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:42:20 time: 0.2557 data_time: 0.0240 memory: 2049 grad_norm: 3.1630 loss: 4.5397 loss_cls: 2.9539 loss_bbox: 1.5858 2024/10/27 06:35:38 - mmengine - INFO - Epoch(train) [75][1700/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:42:07 time: 0.2523 data_time: 0.0233 memory: 2049 grad_norm: 3.7326 loss: 4.4745 loss_cls: 2.9120 loss_bbox: 1.5625 2024/10/27 06:35:51 - mmengine - INFO - Epoch(train) [75][1750/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:41:55 time: 0.2607 data_time: 0.0325 memory: 2049 grad_norm: 3.7614 loss: 4.5318 loss_cls: 2.9595 loss_bbox: 1.5724 2024/10/27 06:36:04 - mmengine - INFO - Epoch(train) [75][1800/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:41:42 time: 0.2521 data_time: 0.0249 memory: 2049 grad_norm: 3.6423 loss: 4.4687 loss_cls: 2.9087 loss_bbox: 1.5600 2024/10/27 06:36:18 - mmengine - INFO - Epoch(train) [75][1850/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:41:31 time: 0.2820 data_time: 0.0498 memory: 2049 grad_norm: 3.2578 loss: 4.4269 loss_cls: 2.8564 loss_bbox: 1.5705 2024/10/27 06:36:30 - mmengine - INFO - Epoch(train) [75][1900/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:41:18 time: 0.2495 data_time: 0.0253 memory: 2049 grad_norm: 3.4605 loss: 4.5013 loss_cls: 2.9492 loss_bbox: 1.5521 2024/10/27 06:36:43 - mmengine - INFO - Epoch(train) [75][1950/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:41:06 time: 0.2531 data_time: 0.0287 memory: 2049 grad_norm: 3.7278 loss: 4.4517 loss_cls: 2.8716 loss_bbox: 1.5801 2024/10/27 06:36:56 - mmengine - INFO - Epoch(train) [75][2000/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:40:53 time: 0.2564 data_time: 0.0335 memory: 2049 grad_norm: 3.2878 loss: 4.4057 loss_cls: 2.8640 loss_bbox: 1.5417 2024/10/27 06:36:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:37:08 - mmengine - INFO - Epoch(train) [75][2050/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:40:40 time: 0.2427 data_time: 0.0266 memory: 2049 grad_norm: 3.4217 loss: 4.5458 loss_cls: 2.9310 loss_bbox: 1.6147 2024/10/27 06:37:21 - mmengine - INFO - Epoch(train) [75][2100/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:40:28 time: 0.2591 data_time: 0.0253 memory: 2049 grad_norm: 3.4456 loss: 4.5802 loss_cls: 2.9502 loss_bbox: 1.6300 2024/10/27 06:37:34 - mmengine - INFO - Epoch(train) [75][2150/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:40:16 time: 0.2568 data_time: 0.0323 memory: 2049 grad_norm: 3.3543 loss: 4.4485 loss_cls: 2.8736 loss_bbox: 1.5749 2024/10/27 06:37:46 - mmengine - INFO - Epoch(train) [75][2200/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:40:03 time: 0.2520 data_time: 0.0237 memory: 2049 grad_norm: 3.4465 loss: 4.6285 loss_cls: 2.9800 loss_bbox: 1.6485 2024/10/27 06:37:59 - mmengine - INFO - Epoch(train) [75][2250/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:39:50 time: 0.2468 data_time: 0.0244 memory: 2049 grad_norm: 3.7474 loss: 4.5116 loss_cls: 2.9105 loss_bbox: 1.6011 2024/10/27 06:38:11 - mmengine - INFO - Epoch(train) [75][2300/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:39:38 time: 0.2528 data_time: 0.0312 memory: 2049 grad_norm: 3.3925 loss: 4.5549 loss_cls: 2.9480 loss_bbox: 1.6069 2024/10/27 06:38:24 - mmengine - INFO - Epoch(train) [75][2350/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:39:25 time: 0.2537 data_time: 0.0236 memory: 2049 grad_norm: 3.4178 loss: 4.4559 loss_cls: 2.9280 loss_bbox: 1.5279 2024/10/27 06:38:37 - mmengine - INFO - Epoch(train) [75][2400/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:39:13 time: 0.2582 data_time: 0.0324 memory: 2049 grad_norm: 3.4683 loss: 4.5145 loss_cls: 2.9085 loss_bbox: 1.6060 2024/10/27 06:38:50 - mmengine - INFO - Epoch(train) [75][2450/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:39:01 time: 0.2539 data_time: 0.0260 memory: 2049 grad_norm: 3.6111 loss: 4.5442 loss_cls: 2.9144 loss_bbox: 1.6298 2024/10/27 06:39:03 - mmengine - INFO - Epoch(train) [75][2500/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:38:48 time: 0.2622 data_time: 0.0267 memory: 2049 grad_norm: 3.5184 loss: 4.5070 loss_cls: 2.9305 loss_bbox: 1.5765 2024/10/27 06:39:18 - mmengine - INFO - Epoch(train) [75][2550/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:38:38 time: 0.2957 data_time: 0.0743 memory: 2049 grad_norm: 3.5703 loss: 4.5384 loss_cls: 2.9208 loss_bbox: 1.6176 2024/10/27 06:39:31 - mmengine - INFO - Epoch(train) [75][2600/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:38:25 time: 0.2616 data_time: 0.0273 memory: 2049 grad_norm: 3.6186 loss: 4.4554 loss_cls: 2.8970 loss_bbox: 1.5583 2024/10/27 06:39:44 - mmengine - INFO - Epoch(train) [75][2650/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:38:13 time: 0.2621 data_time: 0.0290 memory: 2049 grad_norm: 3.6155 loss: 4.4814 loss_cls: 2.9467 loss_bbox: 1.5347 2024/10/27 06:39:56 - mmengine - INFO - Epoch(train) [75][2700/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:38:00 time: 0.2454 data_time: 0.0248 memory: 2049 grad_norm: 3.3949 loss: 4.4073 loss_cls: 2.8844 loss_bbox: 1.5229 2024/10/27 06:40:10 - mmengine - INFO - Epoch(train) [75][2750/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:37:49 time: 0.2728 data_time: 0.0274 memory: 2049 grad_norm: 3.5297 loss: 4.4762 loss_cls: 2.9265 loss_bbox: 1.5497 2024/10/27 06:40:22 - mmengine - INFO - Epoch(train) [75][2800/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:37:36 time: 0.2473 data_time: 0.0242 memory: 2049 grad_norm: 3.7174 loss: 4.5504 loss_cls: 2.9270 loss_bbox: 1.6234 2024/10/27 06:40:35 - mmengine - INFO - Epoch(train) [75][2850/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:37:23 time: 0.2572 data_time: 0.0245 memory: 2049 grad_norm: 3.3338 loss: 4.5017 loss_cls: 2.9103 loss_bbox: 1.5914 2024/10/27 06:40:48 - mmengine - INFO - Epoch(train) [75][2900/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:37:11 time: 0.2564 data_time: 0.0243 memory: 2049 grad_norm: 3.4781 loss: 4.5343 loss_cls: 2.9673 loss_bbox: 1.5670 2024/10/27 06:41:00 - mmengine - INFO - Epoch(train) [75][2950/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:36:59 time: 0.2525 data_time: 0.0237 memory: 2049 grad_norm: 3.4784 loss: 4.4911 loss_cls: 2.9248 loss_bbox: 1.5663 2024/10/27 06:41:14 - mmengine - INFO - Epoch(train) [75][3000/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:36:46 time: 0.2653 data_time: 0.0243 memory: 2049 grad_norm: 3.3679 loss: 4.6082 loss_cls: 2.9569 loss_bbox: 1.6513 2024/10/27 06:41:15 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:41:26 - mmengine - INFO - Epoch(train) [75][3050/3054] base_lr: 2.0918e-03 lr: 2.0918e-03 eta: 9:36:34 time: 0.2440 data_time: 0.0244 memory: 2049 grad_norm: 3.3853 loss: 4.5923 loss_cls: 2.9645 loss_bbox: 1.6278 2024/10/27 06:41:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:41:27 - mmengine - INFO - Saving checkpoint at 75 epochs 2024/10/27 06:41:32 - mmengine - INFO - Epoch(val) [75][50/79] eta: 0:00:01 time: 0.0448 data_time: 0.0064 memory: 2049 2024/10/27 06:41:47 - mmengine - INFO - Evaluating bbox... 2024/10/27 06:42:56 - mmengine - INFO - bbox_mAP_copypaste: 0.178 0.313 0.177 0.015 0.162 0.347 2024/10/27 06:42:57 - mmengine - INFO - Epoch(val) [75][79/79] coco/bbox_mAP: 0.1780 coco/bbox_mAP_50: 0.3130 coco/bbox_mAP_75: 0.1770 coco/bbox_mAP_s: 0.0150 coco/bbox_mAP_m: 0.1620 coco/bbox_mAP_l: 0.3470 data_time: 0.0060 time: 0.0439 2024/10/27 06:43:10 - mmengine - INFO - Epoch(train) [76][ 50/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:36:20 time: 0.2639 data_time: 0.0412 memory: 2049 grad_norm: 3.5464 loss: 4.4920 loss_cls: 2.9281 loss_bbox: 1.5639 2024/10/27 06:43:22 - mmengine - INFO - Epoch(train) [76][ 100/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:36:07 time: 0.2325 data_time: 0.0251 memory: 2049 grad_norm: 3.6092 loss: 4.6322 loss_cls: 2.9564 loss_bbox: 1.6758 2024/10/27 06:43:34 - mmengine - INFO - Epoch(train) [76][ 150/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:35:54 time: 0.2397 data_time: 0.0253 memory: 2049 grad_norm: 3.6046 loss: 4.5581 loss_cls: 2.9624 loss_bbox: 1.5958 2024/10/27 06:43:46 - mmengine - INFO - Epoch(train) [76][ 200/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:35:41 time: 0.2500 data_time: 0.0294 memory: 2049 grad_norm: 3.2873 loss: 4.4143 loss_cls: 2.8646 loss_bbox: 1.5497 2024/10/27 06:43:58 - mmengine - INFO - Epoch(train) [76][ 250/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:35:28 time: 0.2281 data_time: 0.0261 memory: 2049 grad_norm: 3.7186 loss: 4.4738 loss_cls: 2.9166 loss_bbox: 1.5572 2024/10/27 06:44:11 - mmengine - INFO - Epoch(train) [76][ 300/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:35:16 time: 0.2643 data_time: 0.0269 memory: 2049 grad_norm: 3.3735 loss: 4.4552 loss_cls: 2.9144 loss_bbox: 1.5409 2024/10/27 06:44:23 - mmengine - INFO - Epoch(train) [76][ 350/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:35:03 time: 0.2430 data_time: 0.0291 memory: 2049 grad_norm: 3.4904 loss: 4.4507 loss_cls: 2.8909 loss_bbox: 1.5598 2024/10/27 06:44:36 - mmengine - INFO - Epoch(train) [76][ 400/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:34:50 time: 0.2477 data_time: 0.0250 memory: 2049 grad_norm: 3.6138 loss: 4.4228 loss_cls: 2.8965 loss_bbox: 1.5263 2024/10/27 06:44:48 - mmengine - INFO - Epoch(train) [76][ 450/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:34:38 time: 0.2566 data_time: 0.0252 memory: 2049 grad_norm: 3.5884 loss: 4.4980 loss_cls: 2.9703 loss_bbox: 1.5277 2024/10/27 06:45:00 - mmengine - INFO - Epoch(train) [76][ 500/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:34:24 time: 0.2389 data_time: 0.0255 memory: 2049 grad_norm: 3.3591 loss: 4.4663 loss_cls: 2.9199 loss_bbox: 1.5464 2024/10/27 06:45:13 - mmengine - INFO - Epoch(train) [76][ 550/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:34:12 time: 0.2567 data_time: 0.0254 memory: 2049 grad_norm: 3.5611 loss: 4.4488 loss_cls: 2.8664 loss_bbox: 1.5824 2024/10/27 06:45:25 - mmengine - INFO - Epoch(train) [76][ 600/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:33:59 time: 0.2412 data_time: 0.0255 memory: 2049 grad_norm: 3.6733 loss: 4.4641 loss_cls: 2.8946 loss_bbox: 1.5695 2024/10/27 06:45:38 - mmengine - INFO - Epoch(train) [76][ 650/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:33:46 time: 0.2439 data_time: 0.0293 memory: 2049 grad_norm: 3.3301 loss: 4.4925 loss_cls: 2.9186 loss_bbox: 1.5739 2024/10/27 06:45:51 - mmengine - INFO - Epoch(train) [76][ 700/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:33:34 time: 0.2637 data_time: 0.0259 memory: 2049 grad_norm: 3.6741 loss: 4.5095 loss_cls: 2.9294 loss_bbox: 1.5801 2024/10/27 06:46:03 - mmengine - INFO - Epoch(train) [76][ 750/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:33:21 time: 0.2407 data_time: 0.0255 memory: 2049 grad_norm: 3.4022 loss: 4.5722 loss_cls: 2.9521 loss_bbox: 1.6201 2024/10/27 06:46:18 - mmengine - INFO - Epoch(train) [76][ 800/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:33:10 time: 0.2991 data_time: 0.0721 memory: 2049 grad_norm: 3.4660 loss: 4.5914 loss_cls: 2.9937 loss_bbox: 1.5977 2024/10/27 06:46:31 - mmengine - INFO - Epoch(train) [76][ 850/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:32:58 time: 0.2673 data_time: 0.0263 memory: 2049 grad_norm: 3.7369 loss: 4.5019 loss_cls: 2.8947 loss_bbox: 1.6072 2024/10/27 06:46:44 - mmengine - INFO - Epoch(train) [76][ 900/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:32:46 time: 0.2487 data_time: 0.0253 memory: 2049 grad_norm: 3.7822 loss: 4.5944 loss_cls: 2.9804 loss_bbox: 1.6140 2024/10/27 06:46:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:46:57 - mmengine - INFO - Epoch(train) [76][ 950/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:32:34 time: 0.2711 data_time: 0.0347 memory: 2049 grad_norm: 3.6127 loss: 4.4266 loss_cls: 2.8798 loss_bbox: 1.5468 2024/10/27 06:47:10 - mmengine - INFO - Epoch(train) [76][1000/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:32:22 time: 0.2593 data_time: 0.0312 memory: 2049 grad_norm: 3.4681 loss: 4.4609 loss_cls: 2.9240 loss_bbox: 1.5369 2024/10/27 06:47:24 - mmengine - INFO - Epoch(train) [76][1050/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:32:10 time: 0.2693 data_time: 0.0406 memory: 2049 grad_norm: 3.3691 loss: 4.6250 loss_cls: 3.0176 loss_bbox: 1.6074 2024/10/27 06:47:36 - mmengine - INFO - Epoch(train) [76][1100/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:31:57 time: 0.2476 data_time: 0.0247 memory: 2049 grad_norm: 3.8576 loss: 4.4690 loss_cls: 2.9091 loss_bbox: 1.5599 2024/10/27 06:47:48 - mmengine - INFO - Epoch(train) [76][1150/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:31:44 time: 0.2482 data_time: 0.0257 memory: 2049 grad_norm: 3.4145 loss: 4.5175 loss_cls: 2.9221 loss_bbox: 1.5954 2024/10/27 06:48:02 - mmengine - INFO - Epoch(train) [76][1200/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:31:32 time: 0.2673 data_time: 0.0243 memory: 2049 grad_norm: 3.5632 loss: 4.4632 loss_cls: 2.8983 loss_bbox: 1.5649 2024/10/27 06:48:18 - mmengine - INFO - Epoch(train) [76][1250/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:31:22 time: 0.3153 data_time: 0.0937 memory: 2049 grad_norm: 3.6176 loss: 4.5453 loss_cls: 2.9503 loss_bbox: 1.5950 2024/10/27 06:48:30 - mmengine - INFO - Epoch(train) [76][1300/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:31:10 time: 0.2551 data_time: 0.0241 memory: 2049 grad_norm: 3.4926 loss: 4.3435 loss_cls: 2.8477 loss_bbox: 1.4958 2024/10/27 06:48:44 - mmengine - INFO - Epoch(train) [76][1350/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:30:57 time: 0.2640 data_time: 0.0250 memory: 2049 grad_norm: 3.7183 loss: 4.5597 loss_cls: 2.9450 loss_bbox: 1.6147 2024/10/27 06:48:57 - mmengine - INFO - Epoch(train) [76][1400/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:30:45 time: 0.2621 data_time: 0.0338 memory: 2049 grad_norm: 3.6853 loss: 4.5820 loss_cls: 2.9884 loss_bbox: 1.5936 2024/10/27 06:49:10 - mmengine - INFO - Epoch(train) [76][1450/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:30:33 time: 0.2647 data_time: 0.0255 memory: 2049 grad_norm: 3.5191 loss: 4.4739 loss_cls: 2.9125 loss_bbox: 1.5614 2024/10/27 06:49:23 - mmengine - INFO - Epoch(train) [76][1500/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:30:21 time: 0.2526 data_time: 0.0253 memory: 2049 grad_norm: 3.4912 loss: 4.5008 loss_cls: 2.9366 loss_bbox: 1.5642 2024/10/27 06:49:35 - mmengine - INFO - Epoch(train) [76][1550/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:30:08 time: 0.2551 data_time: 0.0260 memory: 2049 grad_norm: 3.3542 loss: 4.6409 loss_cls: 3.0208 loss_bbox: 1.6201 2024/10/27 06:49:49 - mmengine - INFO - Epoch(train) [76][1600/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:29:56 time: 0.2692 data_time: 0.0238 memory: 2049 grad_norm: 3.6287 loss: 4.4355 loss_cls: 2.8866 loss_bbox: 1.5488 2024/10/27 06:50:02 - mmengine - INFO - Epoch(train) [76][1650/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:29:44 time: 0.2563 data_time: 0.0251 memory: 2049 grad_norm: 3.5964 loss: 4.3971 loss_cls: 2.8664 loss_bbox: 1.5306 2024/10/27 06:50:18 - mmengine - INFO - Epoch(train) [76][1700/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:29:34 time: 0.3338 data_time: 0.0926 memory: 2049 grad_norm: 3.4448 loss: 4.4890 loss_cls: 2.9048 loss_bbox: 1.5842 2024/10/27 06:50:31 - mmengine - INFO - Epoch(train) [76][1750/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:29:22 time: 0.2581 data_time: 0.0270 memory: 2049 grad_norm: 3.3144 loss: 4.5231 loss_cls: 2.9121 loss_bbox: 1.6110 2024/10/27 06:50:44 - mmengine - INFO - Epoch(train) [76][1800/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:29:10 time: 0.2588 data_time: 0.0366 memory: 2049 grad_norm: 3.8771 loss: 4.4999 loss_cls: 2.9026 loss_bbox: 1.5973 2024/10/27 06:50:58 - mmengine - INFO - Epoch(train) [76][1850/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:28:58 time: 0.2645 data_time: 0.0276 memory: 2049 grad_norm: 3.3342 loss: 4.4669 loss_cls: 2.8762 loss_bbox: 1.5907 2024/10/27 06:51:11 - mmengine - INFO - Epoch(train) [76][1900/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:28:46 time: 0.2709 data_time: 0.0443 memory: 2049 grad_norm: 3.3192 loss: 4.5619 loss_cls: 2.9495 loss_bbox: 1.6124 2024/10/27 06:51:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:51:24 - mmengine - INFO - Epoch(train) [76][1950/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:28:34 time: 0.2633 data_time: 0.0273 memory: 2049 grad_norm: 3.4062 loss: 4.4902 loss_cls: 2.9341 loss_bbox: 1.5561 2024/10/27 06:51:37 - mmengine - INFO - Epoch(train) [76][2000/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:28:21 time: 0.2558 data_time: 0.0248 memory: 2049 grad_norm: 3.5258 loss: 4.5276 loss_cls: 2.9573 loss_bbox: 1.5703 2024/10/27 06:51:50 - mmengine - INFO - Epoch(train) [76][2050/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:28:09 time: 0.2606 data_time: 0.0244 memory: 2049 grad_norm: 3.4579 loss: 4.5572 loss_cls: 2.9419 loss_bbox: 1.6154 2024/10/27 06:52:03 - mmengine - INFO - Epoch(train) [76][2100/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:27:56 time: 0.2532 data_time: 0.0267 memory: 2049 grad_norm: 3.7123 loss: 4.4424 loss_cls: 2.8919 loss_bbox: 1.5505 2024/10/27 06:52:17 - mmengine - INFO - Epoch(train) [76][2150/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:27:45 time: 0.2910 data_time: 0.0710 memory: 2049 grad_norm: 3.6125 loss: 4.6060 loss_cls: 2.9731 loss_bbox: 1.6329 2024/10/27 06:52:30 - mmengine - INFO - Epoch(train) [76][2200/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:27:33 time: 0.2561 data_time: 0.0323 memory: 2049 grad_norm: 3.3561 loss: 4.4284 loss_cls: 2.8820 loss_bbox: 1.5464 2024/10/27 06:52:43 - mmengine - INFO - Epoch(train) [76][2250/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:27:20 time: 0.2463 data_time: 0.0240 memory: 2049 grad_norm: 3.5217 loss: 4.3164 loss_cls: 2.8361 loss_bbox: 1.4803 2024/10/27 06:52:55 - mmengine - INFO - Epoch(train) [76][2300/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:27:08 time: 0.2505 data_time: 0.0278 memory: 2049 grad_norm: 3.6194 loss: 4.4787 loss_cls: 2.9312 loss_bbox: 1.5475 2024/10/27 06:53:07 - mmengine - INFO - Epoch(train) [76][2350/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:26:55 time: 0.2487 data_time: 0.0217 memory: 2049 grad_norm: 3.4817 loss: 4.4259 loss_cls: 2.8887 loss_bbox: 1.5371 2024/10/27 06:53:20 - mmengine - INFO - Epoch(train) [76][2400/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:26:42 time: 0.2439 data_time: 0.0233 memory: 2049 grad_norm: 3.2863 loss: 4.5909 loss_cls: 2.9801 loss_bbox: 1.6109 2024/10/27 06:53:32 - mmengine - INFO - Epoch(train) [76][2450/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:26:29 time: 0.2520 data_time: 0.0305 memory: 2049 grad_norm: 3.2631 loss: 4.5605 loss_cls: 2.9260 loss_bbox: 1.6345 2024/10/27 06:53:45 - mmengine - INFO - Epoch(train) [76][2500/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:26:17 time: 0.2499 data_time: 0.0223 memory: 2049 grad_norm: 3.5150 loss: 4.5174 loss_cls: 2.9367 loss_bbox: 1.5807 2024/10/27 06:53:57 - mmengine - INFO - Epoch(train) [76][2550/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:26:04 time: 0.2407 data_time: 0.0266 memory: 2049 grad_norm: 3.5065 loss: 4.5041 loss_cls: 2.9425 loss_bbox: 1.5616 2024/10/27 06:54:09 - mmengine - INFO - Epoch(train) [76][2600/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:25:51 time: 0.2471 data_time: 0.0223 memory: 2049 grad_norm: 3.3406 loss: 4.4997 loss_cls: 2.9266 loss_bbox: 1.5731 2024/10/27 06:54:22 - mmengine - INFO - Epoch(train) [76][2650/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:25:38 time: 0.2517 data_time: 0.0243 memory: 2049 grad_norm: 3.5394 loss: 4.5212 loss_cls: 2.9066 loss_bbox: 1.6145 2024/10/27 06:54:34 - mmengine - INFO - Epoch(train) [76][2700/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:25:25 time: 0.2410 data_time: 0.0228 memory: 2049 grad_norm: 3.5681 loss: 4.4456 loss_cls: 2.9006 loss_bbox: 1.5449 2024/10/27 06:54:47 - mmengine - INFO - Epoch(train) [76][2750/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:25:13 time: 0.2558 data_time: 0.0235 memory: 2049 grad_norm: 3.3827 loss: 4.4183 loss_cls: 2.8875 loss_bbox: 1.5308 2024/10/27 06:54:59 - mmengine - INFO - Epoch(train) [76][2800/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:25:00 time: 0.2483 data_time: 0.0222 memory: 2049 grad_norm: 3.6789 loss: 4.4537 loss_cls: 2.8750 loss_bbox: 1.5787 2024/10/27 06:55:12 - mmengine - INFO - Epoch(train) [76][2850/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:24:47 time: 0.2482 data_time: 0.0253 memory: 2049 grad_norm: 3.3944 loss: 4.5316 loss_cls: 2.9214 loss_bbox: 1.6102 2024/10/27 06:55:24 - mmengine - INFO - Epoch(train) [76][2900/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:24:35 time: 0.2567 data_time: 0.0226 memory: 2049 grad_norm: 3.8953 loss: 4.6034 loss_cls: 2.9833 loss_bbox: 1.6201 2024/10/27 06:55:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:55:38 - mmengine - INFO - Epoch(train) [76][2950/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:24:23 time: 0.2639 data_time: 0.0276 memory: 2049 grad_norm: 3.8796 loss: 4.5567 loss_cls: 2.9892 loss_bbox: 1.5675 2024/10/27 06:55:51 - mmengine - INFO - Epoch(train) [76][3000/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:24:11 time: 0.2610 data_time: 0.0232 memory: 2049 grad_norm: 3.2817 loss: 4.5238 loss_cls: 2.9626 loss_bbox: 1.5612 2024/10/27 06:56:03 - mmengine - INFO - Epoch(train) [76][3050/3054] base_lr: 2.0485e-03 lr: 2.0485e-03 eta: 9:23:58 time: 0.2518 data_time: 0.0236 memory: 2049 grad_norm: 3.4448 loss: 4.4733 loss_cls: 2.9111 loss_bbox: 1.5622 2024/10/27 06:56:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:56:06 - mmengine - INFO - Saving checkpoint at 76 epochs 2024/10/27 06:56:21 - mmengine - INFO - Epoch(train) [77][ 50/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:23:46 time: 0.2471 data_time: 0.0360 memory: 2049 grad_norm: 3.3598 loss: 4.4866 loss_cls: 2.8995 loss_bbox: 1.5871 2024/10/27 06:56:32 - mmengine - INFO - Epoch(train) [77][ 100/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:23:32 time: 0.2338 data_time: 0.0342 memory: 2049 grad_norm: 3.3047 loss: 4.4729 loss_cls: 2.9193 loss_bbox: 1.5536 2024/10/27 06:56:44 - mmengine - INFO - Epoch(train) [77][ 150/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:23:19 time: 0.2327 data_time: 0.0243 memory: 2049 grad_norm: 3.3584 loss: 4.5400 loss_cls: 2.9336 loss_bbox: 1.6065 2024/10/27 06:56:57 - mmengine - INFO - Epoch(train) [77][ 200/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:23:06 time: 0.2543 data_time: 0.0300 memory: 2049 grad_norm: 3.4242 loss: 4.5017 loss_cls: 2.9239 loss_bbox: 1.5777 2024/10/27 06:57:08 - mmengine - INFO - Epoch(train) [77][ 250/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:22:53 time: 0.2271 data_time: 0.0230 memory: 2049 grad_norm: 3.6215 loss: 4.3938 loss_cls: 2.8805 loss_bbox: 1.5133 2024/10/27 06:57:21 - mmengine - INFO - Epoch(train) [77][ 300/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:22:40 time: 0.2536 data_time: 0.0255 memory: 2049 grad_norm: 3.5443 loss: 4.5480 loss_cls: 2.9501 loss_bbox: 1.5978 2024/10/27 06:57:32 - mmengine - INFO - Epoch(train) [77][ 350/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:22:27 time: 0.2259 data_time: 0.0251 memory: 2049 grad_norm: 3.3649 loss: 4.4533 loss_cls: 2.8972 loss_bbox: 1.5561 2024/10/27 06:57:44 - mmengine - INFO - Epoch(train) [77][ 400/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:22:14 time: 0.2399 data_time: 0.0276 memory: 2049 grad_norm: 3.4635 loss: 4.4944 loss_cls: 2.8978 loss_bbox: 1.5965 2024/10/27 06:57:56 - mmengine - INFO - Epoch(train) [77][ 450/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:22:01 time: 0.2426 data_time: 0.0262 memory: 2049 grad_norm: 3.7844 loss: 4.4526 loss_cls: 2.8577 loss_bbox: 1.5950 2024/10/27 06:58:08 - mmengine - INFO - Epoch(train) [77][ 500/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:21:48 time: 0.2308 data_time: 0.0258 memory: 2049 grad_norm: 3.4574 loss: 4.5435 loss_cls: 2.9573 loss_bbox: 1.5862 2024/10/27 06:58:20 - mmengine - INFO - Epoch(train) [77][ 550/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:21:35 time: 0.2448 data_time: 0.0236 memory: 2049 grad_norm: 3.3502 loss: 4.4585 loss_cls: 2.9397 loss_bbox: 1.5188 2024/10/27 06:58:31 - mmengine - INFO - Epoch(train) [77][ 600/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:21:21 time: 0.2239 data_time: 0.0237 memory: 2049 grad_norm: 3.4380 loss: 4.5674 loss_cls: 2.9589 loss_bbox: 1.6085 2024/10/27 06:58:43 - mmengine - INFO - Epoch(train) [77][ 650/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:21:08 time: 0.2418 data_time: 0.0367 memory: 2049 grad_norm: 3.8057 loss: 4.5231 loss_cls: 2.9365 loss_bbox: 1.5866 2024/10/27 06:58:56 - mmengine - INFO - Epoch(train) [77][ 700/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:20:56 time: 0.2535 data_time: 0.0292 memory: 2049 grad_norm: 3.4874 loss: 4.4807 loss_cls: 2.8926 loss_bbox: 1.5881 2024/10/27 06:59:08 - mmengine - INFO - Epoch(train) [77][ 750/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:20:42 time: 0.2307 data_time: 0.0249 memory: 2049 grad_norm: 3.5768 loss: 4.4248 loss_cls: 2.8103 loss_bbox: 1.6145 2024/10/27 06:59:20 - mmengine - INFO - Epoch(train) [77][ 800/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:20:29 time: 0.2468 data_time: 0.0248 memory: 2049 grad_norm: 3.5162 loss: 4.5198 loss_cls: 2.9384 loss_bbox: 1.5815 2024/10/27 06:59:31 - mmengine - INFO - Epoch(train) [77][ 850/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:20:16 time: 0.2245 data_time: 0.0241 memory: 2049 grad_norm: 3.4947 loss: 4.5222 loss_cls: 2.9494 loss_bbox: 1.5728 2024/10/27 06:59:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 06:59:43 - mmengine - INFO - Epoch(train) [77][ 900/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:20:03 time: 0.2369 data_time: 0.0237 memory: 2049 grad_norm: 3.6168 loss: 4.5014 loss_cls: 2.9276 loss_bbox: 1.5738 2024/10/27 06:59:55 - mmengine - INFO - Epoch(train) [77][ 950/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:19:50 time: 0.2466 data_time: 0.0242 memory: 2049 grad_norm: 3.4502 loss: 4.4491 loss_cls: 2.9076 loss_bbox: 1.5415 2024/10/27 07:00:07 - mmengine - INFO - Epoch(train) [77][1000/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:19:37 time: 0.2352 data_time: 0.0285 memory: 2049 grad_norm: 3.1623 loss: 4.4555 loss_cls: 2.8978 loss_bbox: 1.5578 2024/10/27 07:00:19 - mmengine - INFO - Epoch(train) [77][1050/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:19:24 time: 0.2407 data_time: 0.0238 memory: 2049 grad_norm: 3.5301 loss: 4.5265 loss_cls: 2.9438 loss_bbox: 1.5827 2024/10/27 07:00:31 - mmengine - INFO - Epoch(train) [77][1100/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:19:10 time: 0.2351 data_time: 0.0240 memory: 2049 grad_norm: 3.2287 loss: 4.5098 loss_cls: 2.9535 loss_bbox: 1.5563 2024/10/27 07:00:44 - mmengine - INFO - Epoch(train) [77][1150/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:18:58 time: 0.2610 data_time: 0.0376 memory: 2049 grad_norm: 3.6617 loss: 4.4817 loss_cls: 2.9100 loss_bbox: 1.5717 2024/10/27 07:00:56 - mmengine - INFO - Epoch(train) [77][1200/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:18:45 time: 0.2446 data_time: 0.0289 memory: 2049 grad_norm: 3.6017 loss: 4.5885 loss_cls: 2.9780 loss_bbox: 1.6105 2024/10/27 07:01:08 - mmengine - INFO - Epoch(train) [77][1250/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:18:32 time: 0.2320 data_time: 0.0240 memory: 2049 grad_norm: 3.5811 loss: 4.5123 loss_cls: 2.9012 loss_bbox: 1.6111 2024/10/27 07:01:19 - mmengine - INFO - Epoch(train) [77][1300/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:18:19 time: 0.2331 data_time: 0.0242 memory: 2049 grad_norm: 3.3226 loss: 4.4414 loss_cls: 2.8885 loss_bbox: 1.5529 2024/10/27 07:01:31 - mmengine - INFO - Epoch(train) [77][1350/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:18:06 time: 0.2376 data_time: 0.0232 memory: 2049 grad_norm: 3.3400 loss: 4.5146 loss_cls: 2.9216 loss_bbox: 1.5929 2024/10/27 07:01:44 - mmengine - INFO - Epoch(train) [77][1400/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:17:53 time: 0.2541 data_time: 0.0231 memory: 2049 grad_norm: 3.5527 loss: 4.5253 loss_cls: 2.9074 loss_bbox: 1.6179 2024/10/27 07:01:56 - mmengine - INFO - Epoch(train) [77][1450/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:17:40 time: 0.2328 data_time: 0.0235 memory: 2049 grad_norm: 3.6029 loss: 4.4687 loss_cls: 2.9217 loss_bbox: 1.5470 2024/10/27 07:02:07 - mmengine - INFO - Epoch(train) [77][1500/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:17:27 time: 0.2330 data_time: 0.0241 memory: 2049 grad_norm: 3.4241 loss: 4.4136 loss_cls: 2.9016 loss_bbox: 1.5121 2024/10/27 07:02:20 - mmengine - INFO - Epoch(train) [77][1550/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:17:14 time: 0.2464 data_time: 0.0241 memory: 2049 grad_norm: 3.7279 loss: 4.4743 loss_cls: 2.9132 loss_bbox: 1.5611 2024/10/27 07:02:32 - mmengine - INFO - Epoch(train) [77][1600/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:17:01 time: 0.2444 data_time: 0.0255 memory: 2049 grad_norm: 3.3305 loss: 4.4204 loss_cls: 2.8592 loss_bbox: 1.5611 2024/10/27 07:02:44 - mmengine - INFO - Epoch(train) [77][1650/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:16:48 time: 0.2485 data_time: 0.0238 memory: 2049 grad_norm: 3.7566 loss: 4.5752 loss_cls: 2.9656 loss_bbox: 1.6095 2024/10/27 07:02:56 - mmengine - INFO - Epoch(train) [77][1700/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:16:35 time: 0.2337 data_time: 0.0240 memory: 2049 grad_norm: 3.5983 loss: 4.5438 loss_cls: 2.9666 loss_bbox: 1.5772 2024/10/27 07:03:08 - mmengine - INFO - Epoch(train) [77][1750/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:16:22 time: 0.2323 data_time: 0.0232 memory: 2049 grad_norm: 3.3252 loss: 4.4499 loss_cls: 2.9129 loss_bbox: 1.5370 2024/10/27 07:03:20 - mmengine - INFO - Epoch(train) [77][1800/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:16:09 time: 0.2428 data_time: 0.0321 memory: 2049 grad_norm: 3.6163 loss: 4.4784 loss_cls: 2.8848 loss_bbox: 1.5935 2024/10/27 07:03:32 - mmengine - INFO - Epoch(train) [77][1850/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:15:56 time: 0.2393 data_time: 0.0249 memory: 2049 grad_norm: 3.5711 loss: 4.5937 loss_cls: 2.9495 loss_bbox: 1.6441 2024/10/27 07:03:43 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:03:44 - mmengine - INFO - Epoch(train) [77][1900/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:15:43 time: 0.2516 data_time: 0.0330 memory: 2049 grad_norm: 3.4917 loss: 4.4996 loss_cls: 2.9248 loss_bbox: 1.5748 2024/10/27 07:03:57 - mmengine - INFO - Epoch(train) [77][1950/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:15:30 time: 0.2435 data_time: 0.0263 memory: 2049 grad_norm: 3.7592 loss: 4.5211 loss_cls: 2.9235 loss_bbox: 1.5976 2024/10/27 07:04:09 - mmengine - INFO - Epoch(train) [77][2000/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:15:17 time: 0.2455 data_time: 0.0251 memory: 2049 grad_norm: 3.4604 loss: 4.5467 loss_cls: 2.9858 loss_bbox: 1.5609 2024/10/27 07:04:21 - mmengine - INFO - Epoch(train) [77][2050/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:15:04 time: 0.2348 data_time: 0.0238 memory: 2049 grad_norm: 3.4266 loss: 4.5684 loss_cls: 2.9282 loss_bbox: 1.6403 2024/10/27 07:04:33 - mmengine - INFO - Epoch(train) [77][2100/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:14:51 time: 0.2490 data_time: 0.0340 memory: 2049 grad_norm: 3.4784 loss: 4.5057 loss_cls: 2.9133 loss_bbox: 1.5924 2024/10/27 07:04:46 - mmengine - INFO - Epoch(train) [77][2150/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:14:39 time: 0.2601 data_time: 0.0271 memory: 2049 grad_norm: 3.4376 loss: 4.5756 loss_cls: 2.9882 loss_bbox: 1.5875 2024/10/27 07:04:58 - mmengine - INFO - Epoch(train) [77][2200/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:14:26 time: 0.2402 data_time: 0.0259 memory: 2049 grad_norm: 3.5444 loss: 4.4716 loss_cls: 2.8844 loss_bbox: 1.5872 2024/10/27 07:05:11 - mmengine - INFO - Epoch(train) [77][2250/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:14:14 time: 0.2496 data_time: 0.0245 memory: 2049 grad_norm: 3.4414 loss: 4.5050 loss_cls: 2.9308 loss_bbox: 1.5742 2024/10/27 07:05:23 - mmengine - INFO - Epoch(train) [77][2300/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:14:00 time: 0.2364 data_time: 0.0244 memory: 2049 grad_norm: 3.3945 loss: 4.5397 loss_cls: 2.9678 loss_bbox: 1.5719 2024/10/27 07:05:35 - mmengine - INFO - Epoch(train) [77][2350/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:13:48 time: 0.2443 data_time: 0.0247 memory: 2049 grad_norm: 3.3389 loss: 4.5520 loss_cls: 2.9442 loss_bbox: 1.6078 2024/10/27 07:05:47 - mmengine - INFO - Epoch(train) [77][2400/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:13:35 time: 0.2507 data_time: 0.0245 memory: 2049 grad_norm: 3.5675 loss: 4.5560 loss_cls: 2.9416 loss_bbox: 1.6144 2024/10/27 07:05:59 - mmengine - INFO - Epoch(train) [77][2450/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:13:22 time: 0.2348 data_time: 0.0248 memory: 2049 grad_norm: 3.4954 loss: 4.4692 loss_cls: 2.9235 loss_bbox: 1.5457 2024/10/27 07:06:12 - mmengine - INFO - Epoch(train) [77][2500/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:13:09 time: 0.2548 data_time: 0.0253 memory: 2049 grad_norm: 3.4285 loss: 4.4458 loss_cls: 2.9092 loss_bbox: 1.5365 2024/10/27 07:06:24 - mmengine - INFO - Epoch(train) [77][2550/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:12:56 time: 0.2416 data_time: 0.0321 memory: 2049 grad_norm: 3.7303 loss: 4.4939 loss_cls: 2.9289 loss_bbox: 1.5650 2024/10/27 07:06:36 - mmengine - INFO - Epoch(train) [77][2600/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:12:43 time: 0.2452 data_time: 0.0260 memory: 2049 grad_norm: 3.7613 loss: 4.3962 loss_cls: 2.8538 loss_bbox: 1.5424 2024/10/27 07:06:49 - mmengine - INFO - Epoch(train) [77][2650/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:12:31 time: 0.2528 data_time: 0.0243 memory: 2049 grad_norm: 3.6536 loss: 4.5400 loss_cls: 2.9598 loss_bbox: 1.5801 2024/10/27 07:07:01 - mmengine - INFO - Epoch(train) [77][2700/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:12:18 time: 0.2320 data_time: 0.0264 memory: 2049 grad_norm: 3.6903 loss: 4.5082 loss_cls: 2.9758 loss_bbox: 1.5324 2024/10/27 07:07:13 - mmengine - INFO - Epoch(train) [77][2750/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:12:05 time: 0.2464 data_time: 0.0249 memory: 2049 grad_norm: 3.2737 loss: 4.4764 loss_cls: 2.9140 loss_bbox: 1.5625 2024/10/27 07:07:25 - mmengine - INFO - Epoch(train) [77][2800/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:11:52 time: 0.2391 data_time: 0.0257 memory: 2049 grad_norm: 3.6813 loss: 4.5037 loss_cls: 2.9232 loss_bbox: 1.5804 2024/10/27 07:07:37 - mmengine - INFO - Epoch(train) [77][2850/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:11:39 time: 0.2466 data_time: 0.0244 memory: 2049 grad_norm: 3.5368 loss: 4.5267 loss_cls: 2.9391 loss_bbox: 1.5876 2024/10/27 07:07:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:07:50 - mmengine - INFO - Epoch(train) [77][2900/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:11:27 time: 0.2542 data_time: 0.0251 memory: 2049 grad_norm: 3.3955 loss: 4.5044 loss_cls: 2.9158 loss_bbox: 1.5886 2024/10/27 07:08:02 - mmengine - INFO - Epoch(train) [77][2950/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:11:13 time: 0.2356 data_time: 0.0248 memory: 2049 grad_norm: 3.4447 loss: 4.4595 loss_cls: 2.9069 loss_bbox: 1.5526 2024/10/27 07:08:18 - mmengine - INFO - Epoch(train) [77][3000/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:11:03 time: 0.3175 data_time: 0.0990 memory: 2049 grad_norm: 3.7263 loss: 4.4933 loss_cls: 2.9224 loss_bbox: 1.5710 2024/10/27 07:08:29 - mmengine - INFO - Epoch(train) [77][3050/3054] base_lr: 2.0030e-03 lr: 2.0030e-03 eta: 9:10:50 time: 0.2329 data_time: 0.0322 memory: 2049 grad_norm: 3.3012 loss: 4.4462 loss_cls: 2.8759 loss_bbox: 1.5703 2024/10/27 07:08:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:08:30 - mmengine - INFO - Saving checkpoint at 77 epochs 2024/10/27 07:08:46 - mmengine - INFO - Epoch(train) [78][ 50/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:10:36 time: 0.2546 data_time: 0.0367 memory: 2049 grad_norm: 3.5296 loss: 4.4798 loss_cls: 2.8959 loss_bbox: 1.5840 2024/10/27 07:08:58 - mmengine - INFO - Epoch(train) [78][ 100/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:10:24 time: 0.2479 data_time: 0.0249 memory: 2049 grad_norm: 3.3498 loss: 4.4121 loss_cls: 2.8951 loss_bbox: 1.5171 2024/10/27 07:09:10 - mmengine - INFO - Epoch(train) [78][ 150/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:10:11 time: 0.2390 data_time: 0.0299 memory: 2049 grad_norm: 3.3779 loss: 4.4967 loss_cls: 2.9138 loss_bbox: 1.5829 2024/10/27 07:09:22 - mmengine - INFO - Epoch(train) [78][ 200/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:09:58 time: 0.2397 data_time: 0.0255 memory: 2049 grad_norm: 3.3760 loss: 4.5550 loss_cls: 2.9164 loss_bbox: 1.6387 2024/10/27 07:09:35 - mmengine - INFO - Epoch(train) [78][ 250/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:09:45 time: 0.2483 data_time: 0.0252 memory: 2049 grad_norm: 3.4881 loss: 4.4380 loss_cls: 2.8683 loss_bbox: 1.5697 2024/10/27 07:09:46 - mmengine - INFO - Epoch(train) [78][ 300/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:09:32 time: 0.2327 data_time: 0.0250 memory: 2049 grad_norm: 3.4505 loss: 4.3526 loss_cls: 2.8365 loss_bbox: 1.5162 2024/10/27 07:10:00 - mmengine - INFO - Epoch(train) [78][ 350/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:09:20 time: 0.2693 data_time: 0.0265 memory: 2049 grad_norm: 3.4107 loss: 4.4604 loss_cls: 2.8731 loss_bbox: 1.5873 2024/10/27 07:10:12 - mmengine - INFO - Epoch(train) [78][ 400/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:09:07 time: 0.2491 data_time: 0.0276 memory: 2049 grad_norm: 3.6212 loss: 4.4426 loss_cls: 2.8780 loss_bbox: 1.5646 2024/10/27 07:10:25 - mmengine - INFO - Epoch(train) [78][ 450/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:08:55 time: 0.2620 data_time: 0.0248 memory: 2049 grad_norm: 3.5152 loss: 4.5035 loss_cls: 2.9054 loss_bbox: 1.5981 2024/10/27 07:10:39 - mmengine - INFO - Epoch(train) [78][ 500/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:08:43 time: 0.2680 data_time: 0.0363 memory: 2049 grad_norm: 3.5170 loss: 4.5155 loss_cls: 2.9267 loss_bbox: 1.5888 2024/10/27 07:10:51 - mmengine - INFO - Epoch(train) [78][ 550/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:08:30 time: 0.2485 data_time: 0.0263 memory: 2049 grad_norm: 3.2647 loss: 4.3998 loss_cls: 2.8911 loss_bbox: 1.5087 2024/10/27 07:11:05 - mmengine - INFO - Epoch(train) [78][ 600/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:08:19 time: 0.2807 data_time: 0.0324 memory: 2049 grad_norm: 3.8947 loss: 4.5277 loss_cls: 2.9436 loss_bbox: 1.5841 2024/10/27 07:11:18 - mmengine - INFO - Epoch(train) [78][ 650/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:08:06 time: 0.2575 data_time: 0.0264 memory: 2049 grad_norm: 3.3999 loss: 4.5641 loss_cls: 2.9660 loss_bbox: 1.5981 2024/10/27 07:11:32 - mmengine - INFO - Epoch(train) [78][ 700/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:07:54 time: 0.2698 data_time: 0.0336 memory: 2049 grad_norm: 3.5232 loss: 4.4088 loss_cls: 2.8755 loss_bbox: 1.5333 2024/10/27 07:11:45 - mmengine - INFO - Epoch(train) [78][ 750/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:07:42 time: 0.2664 data_time: 0.0317 memory: 2049 grad_norm: 3.4988 loss: 4.3718 loss_cls: 2.8444 loss_bbox: 1.5274 2024/10/27 07:11:57 - mmengine - INFO - Epoch(train) [78][ 800/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:07:29 time: 0.2446 data_time: 0.0243 memory: 2049 grad_norm: 3.5986 loss: 4.3205 loss_cls: 2.8327 loss_bbox: 1.4878 2024/10/27 07:12:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:12:11 - mmengine - INFO - Epoch(train) [78][ 850/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:07:18 time: 0.2757 data_time: 0.0317 memory: 2049 grad_norm: 3.7429 loss: 4.3509 loss_cls: 2.8419 loss_bbox: 1.5091 2024/10/27 07:12:23 - mmengine - INFO - Epoch(train) [78][ 900/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:07:05 time: 0.2444 data_time: 0.0241 memory: 2049 grad_norm: 3.4973 loss: 4.4655 loss_cls: 2.8998 loss_bbox: 1.5657 2024/10/27 07:12:36 - mmengine - INFO - Epoch(train) [78][ 950/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:06:52 time: 0.2569 data_time: 0.0239 memory: 2049 grad_norm: 3.6472 loss: 4.4731 loss_cls: 2.9183 loss_bbox: 1.5548 2024/10/27 07:12:49 - mmengine - INFO - Epoch(train) [78][1000/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:06:40 time: 0.2596 data_time: 0.0238 memory: 2049 grad_norm: 3.6781 loss: 4.5755 loss_cls: 2.9600 loss_bbox: 1.6154 2024/10/27 07:13:02 - mmengine - INFO - Epoch(train) [78][1050/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:06:28 time: 0.2550 data_time: 0.0278 memory: 2049 grad_norm: 3.4884 loss: 4.6061 loss_cls: 2.9606 loss_bbox: 1.6455 2024/10/27 07:13:19 - mmengine - INFO - Epoch(train) [78][1100/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:06:18 time: 0.3422 data_time: 0.0954 memory: 2049 grad_norm: 3.5657 loss: 4.5163 loss_cls: 2.9125 loss_bbox: 1.6038 2024/10/27 07:13:31 - mmengine - INFO - Epoch(train) [78][1150/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:06:05 time: 0.2395 data_time: 0.0252 memory: 2049 grad_norm: 3.2879 loss: 4.4474 loss_cls: 2.8842 loss_bbox: 1.5631 2024/10/27 07:13:44 - mmengine - INFO - Epoch(train) [78][1200/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:05:53 time: 0.2557 data_time: 0.0247 memory: 2049 grad_norm: 3.7323 loss: 4.3975 loss_cls: 2.8551 loss_bbox: 1.5424 2024/10/27 07:13:57 - mmengine - INFO - Epoch(train) [78][1250/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:05:41 time: 0.2629 data_time: 0.0274 memory: 2049 grad_norm: 3.5190 loss: 4.5035 loss_cls: 2.9193 loss_bbox: 1.5842 2024/10/27 07:14:09 - mmengine - INFO - Epoch(train) [78][1300/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:05:28 time: 0.2444 data_time: 0.0242 memory: 2049 grad_norm: 3.5909 loss: 4.4441 loss_cls: 2.8930 loss_bbox: 1.5511 2024/10/27 07:14:23 - mmengine - INFO - Epoch(train) [78][1350/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:05:16 time: 0.2690 data_time: 0.0298 memory: 2049 grad_norm: 3.6459 loss: 4.5183 loss_cls: 2.9407 loss_bbox: 1.5776 2024/10/27 07:14:35 - mmengine - INFO - Epoch(train) [78][1400/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:05:03 time: 0.2499 data_time: 0.0253 memory: 2049 grad_norm: 3.6294 loss: 4.4989 loss_cls: 2.9090 loss_bbox: 1.5899 2024/10/27 07:14:49 - mmengine - INFO - Epoch(train) [78][1450/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:04:51 time: 0.2694 data_time: 0.0301 memory: 2049 grad_norm: 3.4370 loss: 4.6409 loss_cls: 3.0002 loss_bbox: 1.6407 2024/10/27 07:15:02 - mmengine - INFO - Epoch(train) [78][1500/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:04:39 time: 0.2574 data_time: 0.0243 memory: 2049 grad_norm: 3.7291 loss: 4.4329 loss_cls: 2.8681 loss_bbox: 1.5648 2024/10/27 07:15:17 - mmengine - INFO - Epoch(train) [78][1550/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:04:29 time: 0.3195 data_time: 0.0947 memory: 2049 grad_norm: 3.5256 loss: 4.4694 loss_cls: 2.9167 loss_bbox: 1.5526 2024/10/27 07:15:31 - mmengine - INFO - Epoch(train) [78][1600/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:04:17 time: 0.2668 data_time: 0.0256 memory: 2049 grad_norm: 3.4612 loss: 4.4691 loss_cls: 2.8733 loss_bbox: 1.5958 2024/10/27 07:15:44 - mmengine - INFO - Epoch(train) [78][1650/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:04:04 time: 0.2549 data_time: 0.0225 memory: 2049 grad_norm: 3.6186 loss: 4.5558 loss_cls: 2.9529 loss_bbox: 1.6030 2024/10/27 07:15:56 - mmengine - INFO - Epoch(train) [78][1700/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:03:52 time: 0.2579 data_time: 0.0237 memory: 2049 grad_norm: 3.5828 loss: 4.4953 loss_cls: 2.8880 loss_bbox: 1.6074 2024/10/27 07:16:10 - mmengine - INFO - Epoch(train) [78][1750/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:03:40 time: 0.2657 data_time: 0.0242 memory: 2049 grad_norm: 3.6466 loss: 4.4514 loss_cls: 2.9191 loss_bbox: 1.5323 2024/10/27 07:16:23 - mmengine - INFO - Epoch(train) [78][1800/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:03:27 time: 0.2563 data_time: 0.0230 memory: 2049 grad_norm: 3.3453 loss: 4.4366 loss_cls: 2.9015 loss_bbox: 1.5351 2024/10/27 07:16:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:16:36 - mmengine - INFO - Epoch(train) [78][1850/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:03:15 time: 0.2614 data_time: 0.0224 memory: 2049 grad_norm: 3.3194 loss: 4.5100 loss_cls: 2.9130 loss_bbox: 1.5970 2024/10/27 07:16:48 - mmengine - INFO - Epoch(train) [78][1900/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:03:03 time: 0.2540 data_time: 0.0218 memory: 2049 grad_norm: 3.3971 loss: 4.4650 loss_cls: 2.8789 loss_bbox: 1.5861 2024/10/27 07:17:01 - mmengine - INFO - Epoch(train) [78][1950/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:02:50 time: 0.2525 data_time: 0.0218 memory: 2049 grad_norm: 3.5530 loss: 4.4739 loss_cls: 2.8721 loss_bbox: 1.6018 2024/10/27 07:17:18 - mmengine - INFO - Epoch(train) [78][2000/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:02:41 time: 0.3466 data_time: 0.1005 memory: 2049 grad_norm: 3.7499 loss: 4.5275 loss_cls: 2.9448 loss_bbox: 1.5827 2024/10/27 07:17:32 - mmengine - INFO - Epoch(train) [78][2050/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:02:29 time: 0.2706 data_time: 0.0322 memory: 2049 grad_norm: 3.5172 loss: 4.4686 loss_cls: 2.8719 loss_bbox: 1.5968 2024/10/27 07:17:45 - mmengine - INFO - Epoch(train) [78][2100/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:02:17 time: 0.2601 data_time: 0.0287 memory: 2049 grad_norm: 3.4850 loss: 4.4627 loss_cls: 2.9023 loss_bbox: 1.5604 2024/10/27 07:17:58 - mmengine - INFO - Epoch(train) [78][2150/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:02:04 time: 0.2535 data_time: 0.0245 memory: 2049 grad_norm: 3.7444 loss: 4.4694 loss_cls: 2.9432 loss_bbox: 1.5262 2024/10/27 07:18:11 - mmengine - INFO - Epoch(train) [78][2200/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:01:52 time: 0.2594 data_time: 0.0229 memory: 2049 grad_norm: 3.6359 loss: 4.4620 loss_cls: 2.8890 loss_bbox: 1.5730 2024/10/27 07:18:24 - mmengine - INFO - Epoch(train) [78][2250/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:01:40 time: 0.2661 data_time: 0.0267 memory: 2049 grad_norm: 3.4501 loss: 4.5113 loss_cls: 2.9267 loss_bbox: 1.5846 2024/10/27 07:18:37 - mmengine - INFO - Epoch(train) [78][2300/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:01:27 time: 0.2642 data_time: 0.0228 memory: 2049 grad_norm: 3.2933 loss: 4.4933 loss_cls: 2.9508 loss_bbox: 1.5425 2024/10/27 07:18:50 - mmengine - INFO - Epoch(train) [78][2350/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:01:15 time: 0.2560 data_time: 0.0237 memory: 2049 grad_norm: 3.4809 loss: 4.3893 loss_cls: 2.8362 loss_bbox: 1.5531 2024/10/27 07:19:03 - mmengine - INFO - Epoch(train) [78][2400/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:01:02 time: 0.2543 data_time: 0.0288 memory: 2049 grad_norm: 3.5459 loss: 4.4710 loss_cls: 2.9165 loss_bbox: 1.5545 2024/10/27 07:19:19 - mmengine - INFO - Epoch(train) [78][2450/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:00:52 time: 0.3230 data_time: 0.0802 memory: 2049 grad_norm: 3.2665 loss: 4.4671 loss_cls: 2.9195 loss_bbox: 1.5476 2024/10/27 07:19:31 - mmengine - INFO - Epoch(train) [78][2500/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:00:40 time: 0.2535 data_time: 0.0221 memory: 2049 grad_norm: 3.6632 loss: 4.4454 loss_cls: 2.8661 loss_bbox: 1.5793 2024/10/27 07:19:44 - mmengine - INFO - Epoch(train) [78][2550/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:00:27 time: 0.2511 data_time: 0.0222 memory: 2049 grad_norm: 3.6245 loss: 4.3634 loss_cls: 2.8771 loss_bbox: 1.4863 2024/10/27 07:19:57 - mmengine - INFO - Epoch(train) [78][2600/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:00:15 time: 0.2681 data_time: 0.0281 memory: 2049 grad_norm: 3.4091 loss: 4.4297 loss_cls: 2.9103 loss_bbox: 1.5194 2024/10/27 07:20:10 - mmengine - INFO - Epoch(train) [78][2650/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 9:00:03 time: 0.2537 data_time: 0.0265 memory: 2049 grad_norm: 3.6048 loss: 4.4427 loss_cls: 2.9130 loss_bbox: 1.5297 2024/10/27 07:20:23 - mmengine - INFO - Epoch(train) [78][2700/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 8:59:51 time: 0.2663 data_time: 0.0242 memory: 2049 grad_norm: 3.5947 loss: 4.4250 loss_cls: 2.8756 loss_bbox: 1.5494 2024/10/27 07:20:37 - mmengine - INFO - Epoch(train) [78][2750/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 8:59:39 time: 0.2663 data_time: 0.0245 memory: 2049 grad_norm: 3.7854 loss: 4.5239 loss_cls: 2.9316 loss_bbox: 1.5922 2024/10/27 07:20:50 - mmengine - INFO - Epoch(train) [78][2800/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 8:59:26 time: 0.2562 data_time: 0.0247 memory: 2049 grad_norm: 3.8074 loss: 4.3782 loss_cls: 2.8727 loss_bbox: 1.5055 2024/10/27 07:21:01 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:21:03 - mmengine - INFO - Epoch(train) [78][2850/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 8:59:14 time: 0.2695 data_time: 0.0268 memory: 2049 grad_norm: 3.4321 loss: 4.5524 loss_cls: 2.9570 loss_bbox: 1.5954 2024/10/27 07:21:17 - mmengine - INFO - Epoch(train) [78][2900/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 8:59:03 time: 0.2876 data_time: 0.0566 memory: 2049 grad_norm: 3.6146 loss: 4.3851 loss_cls: 2.8416 loss_bbox: 1.5435 2024/10/27 07:21:31 - mmengine - INFO - Epoch(train) [78][2950/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 8:58:51 time: 0.2631 data_time: 0.0320 memory: 2049 grad_norm: 3.1717 loss: 4.4615 loss_cls: 2.8805 loss_bbox: 1.5810 2024/10/27 07:21:44 - mmengine - INFO - Epoch(train) [78][3000/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 8:58:39 time: 0.2659 data_time: 0.0245 memory: 2049 grad_norm: 3.4633 loss: 4.5597 loss_cls: 2.9471 loss_bbox: 1.6126 2024/10/27 07:21:57 - mmengine - INFO - Epoch(train) [78][3050/3054] base_lr: 1.9552e-03 lr: 1.9552e-03 eta: 8:58:26 time: 0.2545 data_time: 0.0298 memory: 2049 grad_norm: 3.5581 loss: 4.4438 loss_cls: 2.9161 loss_bbox: 1.5276 2024/10/27 07:21:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:21:57 - mmengine - INFO - Saving checkpoint at 78 epochs 2024/10/27 07:22:12 - mmengine - INFO - Epoch(train) [79][ 50/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:58:12 time: 0.2442 data_time: 0.0370 memory: 2049 grad_norm: 3.5395 loss: 4.4625 loss_cls: 2.8650 loss_bbox: 1.5975 2024/10/27 07:22:24 - mmengine - INFO - Epoch(train) [79][ 100/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:57:59 time: 0.2339 data_time: 0.0276 memory: 2049 grad_norm: 3.4344 loss: 4.4342 loss_cls: 2.8616 loss_bbox: 1.5727 2024/10/27 07:22:35 - mmengine - INFO - Epoch(train) [79][ 150/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:57:45 time: 0.2253 data_time: 0.0261 memory: 2049 grad_norm: 3.7049 loss: 4.4804 loss_cls: 2.9262 loss_bbox: 1.5542 2024/10/27 07:22:48 - mmengine - INFO - Epoch(train) [79][ 200/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:57:32 time: 0.2469 data_time: 0.0330 memory: 2049 grad_norm: 3.5848 loss: 4.3882 loss_cls: 2.8401 loss_bbox: 1.5481 2024/10/27 07:22:59 - mmengine - INFO - Epoch(train) [79][ 250/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:57:19 time: 0.2291 data_time: 0.0248 memory: 2049 grad_norm: 3.3966 loss: 4.4386 loss_cls: 2.8892 loss_bbox: 1.5494 2024/10/27 07:23:11 - mmengine - INFO - Epoch(train) [79][ 300/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:57:06 time: 0.2384 data_time: 0.0330 memory: 2049 grad_norm: 3.2925 loss: 4.4044 loss_cls: 2.8782 loss_bbox: 1.5262 2024/10/27 07:23:23 - mmengine - INFO - Epoch(train) [79][ 350/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:56:53 time: 0.2357 data_time: 0.0341 memory: 2049 grad_norm: 3.7332 loss: 4.3385 loss_cls: 2.8250 loss_bbox: 1.5136 2024/10/27 07:23:35 - mmengine - INFO - Epoch(train) [79][ 400/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:56:40 time: 0.2329 data_time: 0.0263 memory: 2049 grad_norm: 3.4110 loss: 4.4227 loss_cls: 2.8855 loss_bbox: 1.5372 2024/10/27 07:23:47 - mmengine - INFO - Epoch(train) [79][ 450/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:56:27 time: 0.2424 data_time: 0.0322 memory: 2049 grad_norm: 3.4738 loss: 4.5153 loss_cls: 2.8910 loss_bbox: 1.6243 2024/10/27 07:23:58 - mmengine - INFO - Epoch(train) [79][ 500/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:56:13 time: 0.2238 data_time: 0.0244 memory: 2049 grad_norm: 3.6451 loss: 4.4957 loss_cls: 2.8978 loss_bbox: 1.5978 2024/10/27 07:24:10 - mmengine - INFO - Epoch(train) [79][ 550/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:56:00 time: 0.2413 data_time: 0.0246 memory: 2049 grad_norm: 3.4005 loss: 4.4509 loss_cls: 2.8907 loss_bbox: 1.5603 2024/10/27 07:24:22 - mmengine - INFO - Epoch(train) [79][ 600/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:55:47 time: 0.2364 data_time: 0.0233 memory: 2049 grad_norm: 3.4786 loss: 4.4405 loss_cls: 2.8994 loss_bbox: 1.5411 2024/10/27 07:24:34 - mmengine - INFO - Epoch(train) [79][ 650/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:55:34 time: 0.2491 data_time: 0.0295 memory: 2049 grad_norm: 3.8800 loss: 4.4243 loss_cls: 2.8243 loss_bbox: 1.6000 2024/10/27 07:24:46 - mmengine - INFO - Epoch(train) [79][ 700/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:55:21 time: 0.2350 data_time: 0.0287 memory: 2049 grad_norm: 3.6195 loss: 4.3943 loss_cls: 2.8696 loss_bbox: 1.5247 2024/10/27 07:24:57 - mmengine - INFO - Epoch(train) [79][ 750/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:55:08 time: 0.2261 data_time: 0.0301 memory: 2049 grad_norm: 3.2983 loss: 4.5591 loss_cls: 2.9785 loss_bbox: 1.5805 2024/10/27 07:25:07 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:25:10 - mmengine - INFO - Epoch(train) [79][ 800/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:54:55 time: 0.2559 data_time: 0.0358 memory: 2049 grad_norm: 3.6989 loss: 4.4692 loss_cls: 2.8874 loss_bbox: 1.5817 2024/10/27 07:25:22 - mmengine - INFO - Epoch(train) [79][ 850/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:54:42 time: 0.2343 data_time: 0.0274 memory: 2049 grad_norm: 3.4060 loss: 4.4830 loss_cls: 2.9078 loss_bbox: 1.5752 2024/10/27 07:25:35 - mmengine - INFO - Epoch(train) [79][ 900/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:54:30 time: 0.2553 data_time: 0.0392 memory: 2049 grad_norm: 3.3649 loss: 4.4897 loss_cls: 2.9038 loss_bbox: 1.5859 2024/10/27 07:25:47 - mmengine - INFO - Epoch(train) [79][ 950/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:54:17 time: 0.2468 data_time: 0.0300 memory: 2049 grad_norm: 3.5115 loss: 4.4898 loss_cls: 2.8709 loss_bbox: 1.6189 2024/10/27 07:25:59 - mmengine - INFO - Epoch(train) [79][1000/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:54:04 time: 0.2309 data_time: 0.0275 memory: 2049 grad_norm: 3.5930 loss: 4.3174 loss_cls: 2.8519 loss_bbox: 1.4655 2024/10/27 07:26:11 - mmengine - INFO - Epoch(train) [79][1050/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:53:51 time: 0.2564 data_time: 0.0360 memory: 2049 grad_norm: 3.6840 loss: 4.4135 loss_cls: 2.8700 loss_bbox: 1.5435 2024/10/27 07:26:23 - mmengine - INFO - Epoch(train) [79][1100/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:53:38 time: 0.2407 data_time: 0.0272 memory: 2049 grad_norm: 3.5431 loss: 4.3293 loss_cls: 2.8358 loss_bbox: 1.4935 2024/10/27 07:26:36 - mmengine - INFO - Epoch(train) [79][1150/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:53:26 time: 0.2520 data_time: 0.0329 memory: 2049 grad_norm: 4.1610 loss: 4.4734 loss_cls: 2.9340 loss_bbox: 1.5394 2024/10/27 07:26:48 - mmengine - INFO - Epoch(train) [79][1200/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:53:13 time: 0.2462 data_time: 0.0281 memory: 2049 grad_norm: 3.6245 loss: 4.4310 loss_cls: 2.8875 loss_bbox: 1.5435 2024/10/27 07:27:01 - mmengine - INFO - Epoch(train) [79][1250/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:53:00 time: 0.2416 data_time: 0.0296 memory: 2049 grad_norm: 3.3866 loss: 4.3864 loss_cls: 2.8799 loss_bbox: 1.5065 2024/10/27 07:27:13 - mmengine - INFO - Epoch(train) [79][1300/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:52:47 time: 0.2547 data_time: 0.0288 memory: 2049 grad_norm: 3.6765 loss: 4.4747 loss_cls: 2.9266 loss_bbox: 1.5480 2024/10/27 07:27:26 - mmengine - INFO - Epoch(train) [79][1350/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:52:35 time: 0.2461 data_time: 0.0350 memory: 2049 grad_norm: 3.7186 loss: 4.4721 loss_cls: 2.9161 loss_bbox: 1.5560 2024/10/27 07:27:39 - mmengine - INFO - Epoch(train) [79][1400/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:52:23 time: 0.2702 data_time: 0.0376 memory: 2049 grad_norm: 3.4973 loss: 4.4055 loss_cls: 2.8663 loss_bbox: 1.5392 2024/10/27 07:27:51 - mmengine - INFO - Epoch(train) [79][1450/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:52:10 time: 0.2470 data_time: 0.0337 memory: 2049 grad_norm: 3.7998 loss: 4.5234 loss_cls: 2.9168 loss_bbox: 1.6066 2024/10/27 07:28:04 - mmengine - INFO - Epoch(train) [79][1500/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:51:57 time: 0.2544 data_time: 0.0301 memory: 2049 grad_norm: 3.6902 loss: 4.4353 loss_cls: 2.8790 loss_bbox: 1.5563 2024/10/27 07:28:19 - mmengine - INFO - Epoch(train) [79][1550/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:51:46 time: 0.2924 data_time: 0.0513 memory: 2049 grad_norm: 3.4670 loss: 4.4943 loss_cls: 2.9205 loss_bbox: 1.5738 2024/10/27 07:28:31 - mmengine - INFO - Epoch(train) [79][1600/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:51:33 time: 0.2446 data_time: 0.0267 memory: 2049 grad_norm: 3.7646 loss: 4.3997 loss_cls: 2.8745 loss_bbox: 1.5252 2024/10/27 07:28:46 - mmengine - INFO - Epoch(train) [79][1650/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:51:22 time: 0.2884 data_time: 0.0359 memory: 2049 grad_norm: 3.4912 loss: 4.3874 loss_cls: 2.8815 loss_bbox: 1.5059 2024/10/27 07:28:59 - mmengine - INFO - Epoch(train) [79][1700/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:51:10 time: 0.2662 data_time: 0.0324 memory: 2049 grad_norm: 3.7184 loss: 4.4705 loss_cls: 2.9187 loss_bbox: 1.5518 2024/10/27 07:29:12 - mmengine - INFO - Epoch(train) [79][1750/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:50:58 time: 0.2620 data_time: 0.0289 memory: 2049 grad_norm: 3.7563 loss: 4.5223 loss_cls: 2.9202 loss_bbox: 1.6021 2024/10/27 07:29:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:29:26 - mmengine - INFO - Epoch(train) [79][1800/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:50:46 time: 0.2731 data_time: 0.0347 memory: 2049 grad_norm: 3.5689 loss: 4.4290 loss_cls: 2.8717 loss_bbox: 1.5572 2024/10/27 07:29:39 - mmengine - INFO - Epoch(train) [79][1850/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:50:34 time: 0.2641 data_time: 0.0279 memory: 2049 grad_norm: 3.3628 loss: 4.5318 loss_cls: 2.9520 loss_bbox: 1.5798 2024/10/27 07:29:53 - mmengine - INFO - Epoch(train) [79][1900/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:50:22 time: 0.2765 data_time: 0.0388 memory: 2049 grad_norm: 3.4990 loss: 4.4795 loss_cls: 2.9059 loss_bbox: 1.5736 2024/10/27 07:30:05 - mmengine - INFO - Epoch(train) [79][1950/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:50:09 time: 0.2488 data_time: 0.0260 memory: 2049 grad_norm: 3.6208 loss: 4.4939 loss_cls: 2.8753 loss_bbox: 1.6186 2024/10/27 07:30:19 - mmengine - INFO - Epoch(train) [79][2000/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:49:57 time: 0.2706 data_time: 0.0273 memory: 2049 grad_norm: 3.2341 loss: 4.6023 loss_cls: 2.9603 loss_bbox: 1.6420 2024/10/27 07:30:32 - mmengine - INFO - Epoch(train) [79][2050/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:49:45 time: 0.2666 data_time: 0.0344 memory: 2049 grad_norm: 3.4230 loss: 4.5203 loss_cls: 2.9480 loss_bbox: 1.5723 2024/10/27 07:30:46 - mmengine - INFO - Epoch(train) [79][2100/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:49:33 time: 0.2775 data_time: 0.0373 memory: 2049 grad_norm: 3.7947 loss: 4.4179 loss_cls: 2.8793 loss_bbox: 1.5386 2024/10/27 07:31:00 - mmengine - INFO - Epoch(train) [79][2150/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:49:22 time: 0.2777 data_time: 0.0385 memory: 2049 grad_norm: 3.5366 loss: 4.4242 loss_cls: 2.8850 loss_bbox: 1.5392 2024/10/27 07:31:13 - mmengine - INFO - Epoch(train) [79][2200/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:49:09 time: 0.2530 data_time: 0.0291 memory: 2049 grad_norm: 3.6377 loss: 4.4873 loss_cls: 2.8990 loss_bbox: 1.5883 2024/10/27 07:31:25 - mmengine - INFO - Epoch(train) [79][2250/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:48:57 time: 0.2561 data_time: 0.0263 memory: 2049 grad_norm: 3.5810 loss: 4.4263 loss_cls: 2.8849 loss_bbox: 1.5414 2024/10/27 07:31:38 - mmengine - INFO - Epoch(train) [79][2300/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:48:44 time: 0.2579 data_time: 0.0402 memory: 2049 grad_norm: 3.5261 loss: 4.4963 loss_cls: 2.8969 loss_bbox: 1.5994 2024/10/27 07:31:51 - mmengine - INFO - Epoch(train) [79][2350/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:48:32 time: 0.2579 data_time: 0.0252 memory: 2049 grad_norm: 3.5456 loss: 4.4491 loss_cls: 2.9298 loss_bbox: 1.5193 2024/10/27 07:32:05 - mmengine - INFO - Epoch(train) [79][2400/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:48:21 time: 0.2862 data_time: 0.0339 memory: 2049 grad_norm: 3.4910 loss: 4.4998 loss_cls: 2.9252 loss_bbox: 1.5745 2024/10/27 07:32:18 - mmengine - INFO - Epoch(train) [79][2450/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:48:08 time: 0.2403 data_time: 0.0309 memory: 2049 grad_norm: 3.6557 loss: 4.5464 loss_cls: 2.9569 loss_bbox: 1.5895 2024/10/27 07:32:32 - mmengine - INFO - Epoch(train) [79][2500/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:47:56 time: 0.2866 data_time: 0.0272 memory: 2049 grad_norm: 3.4321 loss: 4.5138 loss_cls: 2.9230 loss_bbox: 1.5908 2024/10/27 07:32:45 - mmengine - INFO - Epoch(train) [79][2550/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:47:44 time: 0.2560 data_time: 0.0261 memory: 2049 grad_norm: 3.5022 loss: 4.3160 loss_cls: 2.8235 loss_bbox: 1.4925 2024/10/27 07:32:57 - mmengine - INFO - Epoch(train) [79][2600/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:47:31 time: 0.2513 data_time: 0.0267 memory: 2049 grad_norm: 3.4900 loss: 4.5238 loss_cls: 2.9394 loss_bbox: 1.5844 2024/10/27 07:33:11 - mmengine - INFO - Epoch(train) [79][2650/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:47:19 time: 0.2748 data_time: 0.0359 memory: 2049 grad_norm: 3.5935 loss: 4.4203 loss_cls: 2.8479 loss_bbox: 1.5725 2024/10/27 07:33:23 - mmengine - INFO - Epoch(train) [79][2700/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:47:06 time: 0.2424 data_time: 0.0265 memory: 2049 grad_norm: 3.6762 loss: 4.3289 loss_cls: 2.8358 loss_bbox: 1.4931 2024/10/27 07:33:37 - mmengine - INFO - Epoch(train) [79][2750/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:46:54 time: 0.2737 data_time: 0.0376 memory: 2049 grad_norm: 3.3512 loss: 4.5345 loss_cls: 2.9246 loss_bbox: 1.6099 2024/10/27 07:33:46 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:33:49 - mmengine - INFO - Epoch(train) [79][2800/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:46:42 time: 0.2475 data_time: 0.0255 memory: 2049 grad_norm: 3.6369 loss: 4.3952 loss_cls: 2.8942 loss_bbox: 1.5010 2024/10/27 07:34:02 - mmengine - INFO - Epoch(train) [79][2850/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:46:29 time: 0.2529 data_time: 0.0314 memory: 2049 grad_norm: 3.4963 loss: 4.5289 loss_cls: 2.9219 loss_bbox: 1.6070 2024/10/27 07:34:18 - mmengine - INFO - Epoch(train) [79][2900/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:46:19 time: 0.3267 data_time: 0.0905 memory: 2049 grad_norm: 3.5258 loss: 4.5005 loss_cls: 2.8974 loss_bbox: 1.6030 2024/10/27 07:34:31 - mmengine - INFO - Epoch(train) [79][2950/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:46:06 time: 0.2480 data_time: 0.0351 memory: 2049 grad_norm: 3.2385 loss: 4.4791 loss_cls: 2.8971 loss_bbox: 1.5820 2024/10/27 07:34:44 - mmengine - INFO - Epoch(train) [79][3000/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:45:54 time: 0.2738 data_time: 0.0386 memory: 2049 grad_norm: 3.6145 loss: 4.3999 loss_cls: 2.8687 loss_bbox: 1.5312 2024/10/27 07:34:56 - mmengine - INFO - Epoch(train) [79][3050/3054] base_lr: 1.9053e-03 lr: 1.9053e-03 eta: 8:45:42 time: 0.2411 data_time: 0.0256 memory: 2049 grad_norm: 3.3760 loss: 4.4589 loss_cls: 2.9210 loss_bbox: 1.5380 2024/10/27 07:34:58 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:34:58 - mmengine - INFO - Saving checkpoint at 79 epochs 2024/10/27 07:35:13 - mmengine - INFO - Epoch(train) [80][ 50/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:45:28 time: 0.2450 data_time: 0.0369 memory: 2049 grad_norm: 3.5693 loss: 4.4530 loss_cls: 2.8627 loss_bbox: 1.5904 2024/10/27 07:35:25 - mmengine - INFO - Epoch(train) [80][ 100/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:45:15 time: 0.2513 data_time: 0.0345 memory: 2049 grad_norm: 3.5973 loss: 4.5014 loss_cls: 2.9463 loss_bbox: 1.5551 2024/10/27 07:35:37 - mmengine - INFO - Epoch(train) [80][ 150/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:45:02 time: 0.2274 data_time: 0.0295 memory: 2049 grad_norm: 3.6733 loss: 4.3742 loss_cls: 2.8587 loss_bbox: 1.5155 2024/10/27 07:35:50 - mmengine - INFO - Epoch(train) [80][ 200/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:44:49 time: 0.2547 data_time: 0.0316 memory: 2049 grad_norm: 3.6398 loss: 4.4523 loss_cls: 2.8713 loss_bbox: 1.5810 2024/10/27 07:36:01 - mmengine - INFO - Epoch(train) [80][ 250/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:44:36 time: 0.2367 data_time: 0.0248 memory: 2049 grad_norm: 3.6416 loss: 4.4039 loss_cls: 2.8801 loss_bbox: 1.5239 2024/10/27 07:36:14 - mmengine - INFO - Epoch(train) [80][ 300/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:44:23 time: 0.2477 data_time: 0.0251 memory: 2049 grad_norm: 3.6253 loss: 4.3436 loss_cls: 2.8480 loss_bbox: 1.4956 2024/10/27 07:36:26 - mmengine - INFO - Epoch(train) [80][ 350/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:44:11 time: 0.2526 data_time: 0.0241 memory: 2049 grad_norm: 3.7034 loss: 4.4849 loss_cls: 2.9173 loss_bbox: 1.5676 2024/10/27 07:36:38 - mmengine - INFO - Epoch(train) [80][ 400/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:43:58 time: 0.2401 data_time: 0.0254 memory: 2049 grad_norm: 3.4695 loss: 4.3885 loss_cls: 2.8494 loss_bbox: 1.5391 2024/10/27 07:36:51 - mmengine - INFO - Epoch(train) [80][ 450/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:43:45 time: 0.2524 data_time: 0.0300 memory: 2049 grad_norm: 3.4330 loss: 4.4312 loss_cls: 2.8656 loss_bbox: 1.5656 2024/10/27 07:37:03 - mmengine - INFO - Epoch(train) [80][ 500/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:43:33 time: 0.2466 data_time: 0.0331 memory: 2049 grad_norm: 3.5473 loss: 4.4310 loss_cls: 2.8937 loss_bbox: 1.5373 2024/10/27 07:37:17 - mmengine - INFO - Epoch(train) [80][ 550/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:43:20 time: 0.2667 data_time: 0.0430 memory: 2049 grad_norm: 3.2525 loss: 4.4777 loss_cls: 2.9219 loss_bbox: 1.5559 2024/10/27 07:37:30 - mmengine - INFO - Epoch(train) [80][ 600/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:43:08 time: 0.2631 data_time: 0.0267 memory: 2049 grad_norm: 3.8559 loss: 4.4180 loss_cls: 2.8756 loss_bbox: 1.5424 2024/10/27 07:37:42 - mmengine - INFO - Epoch(train) [80][ 650/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:42:55 time: 0.2421 data_time: 0.0269 memory: 2049 grad_norm: 3.7593 loss: 4.5072 loss_cls: 2.9133 loss_bbox: 1.5939 2024/10/27 07:37:55 - mmengine - INFO - Epoch(train) [80][ 700/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:42:43 time: 0.2548 data_time: 0.0383 memory: 2049 grad_norm: 3.8999 loss: 4.4302 loss_cls: 2.8753 loss_bbox: 1.5549 2024/10/27 07:38:04 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:38:07 - mmengine - INFO - Epoch(train) [80][ 750/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:42:30 time: 0.2527 data_time: 0.0246 memory: 2049 grad_norm: 3.7237 loss: 4.4191 loss_cls: 2.8802 loss_bbox: 1.5389 2024/10/27 07:38:20 - mmengine - INFO - Epoch(train) [80][ 800/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:42:18 time: 0.2498 data_time: 0.0233 memory: 2049 grad_norm: 3.6262 loss: 4.4106 loss_cls: 2.8872 loss_bbox: 1.5234 2024/10/27 07:38:33 - mmengine - INFO - Epoch(train) [80][ 850/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:42:05 time: 0.2602 data_time: 0.0222 memory: 2049 grad_norm: 3.4809 loss: 4.4788 loss_cls: 2.9254 loss_bbox: 1.5534 2024/10/27 07:38:45 - mmengine - INFO - Epoch(train) [80][ 900/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:41:52 time: 0.2430 data_time: 0.0237 memory: 2049 grad_norm: 3.3656 loss: 4.4560 loss_cls: 2.9168 loss_bbox: 1.5393 2024/10/27 07:38:58 - mmengine - INFO - Epoch(train) [80][ 950/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:41:40 time: 0.2529 data_time: 0.0266 memory: 2049 grad_norm: 3.2951 loss: 4.4201 loss_cls: 2.8297 loss_bbox: 1.5904 2024/10/27 07:39:10 - mmengine - INFO - Epoch(train) [80][1000/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:41:27 time: 0.2459 data_time: 0.0234 memory: 2049 grad_norm: 3.5007 loss: 4.3861 loss_cls: 2.8600 loss_bbox: 1.5262 2024/10/27 07:39:23 - mmengine - INFO - Epoch(train) [80][1050/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:41:15 time: 0.2559 data_time: 0.0329 memory: 2049 grad_norm: 3.4832 loss: 4.4926 loss_cls: 2.9118 loss_bbox: 1.5808 2024/10/27 07:39:35 - mmengine - INFO - Epoch(train) [80][1100/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:41:02 time: 0.2467 data_time: 0.0239 memory: 2049 grad_norm: 3.8673 loss: 4.3657 loss_cls: 2.8612 loss_bbox: 1.5045 2024/10/27 07:39:48 - mmengine - INFO - Epoch(train) [80][1150/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:40:49 time: 0.2462 data_time: 0.0239 memory: 2049 grad_norm: 3.7545 loss: 4.4531 loss_cls: 2.8832 loss_bbox: 1.5699 2024/10/27 07:40:00 - mmengine - INFO - Epoch(train) [80][1200/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:40:36 time: 0.2515 data_time: 0.0259 memory: 2049 grad_norm: 3.4446 loss: 4.4854 loss_cls: 2.8899 loss_bbox: 1.5955 2024/10/27 07:40:12 - mmengine - INFO - Epoch(train) [80][1250/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:40:23 time: 0.2377 data_time: 0.0246 memory: 2049 grad_norm: 3.4682 loss: 4.4807 loss_cls: 2.9458 loss_bbox: 1.5349 2024/10/27 07:40:25 - mmengine - INFO - Epoch(train) [80][1300/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:40:11 time: 0.2504 data_time: 0.0236 memory: 2049 grad_norm: 3.4404 loss: 4.4472 loss_cls: 2.8752 loss_bbox: 1.5720 2024/10/27 07:40:36 - mmengine - INFO - Epoch(train) [80][1350/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:39:58 time: 0.2378 data_time: 0.0247 memory: 2049 grad_norm: 3.5733 loss: 4.4597 loss_cls: 2.9041 loss_bbox: 1.5557 2024/10/27 07:40:49 - mmengine - INFO - Epoch(train) [80][1400/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:39:45 time: 0.2485 data_time: 0.0303 memory: 2049 grad_norm: 3.6407 loss: 4.4839 loss_cls: 2.9362 loss_bbox: 1.5477 2024/10/27 07:41:01 - mmengine - INFO - Epoch(train) [80][1450/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:39:32 time: 0.2505 data_time: 0.0251 memory: 2049 grad_norm: 3.6359 loss: 4.4486 loss_cls: 2.8631 loss_bbox: 1.5855 2024/10/27 07:41:17 - mmengine - INFO - Epoch(train) [80][1500/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:39:22 time: 0.3079 data_time: 0.0981 memory: 2049 grad_norm: 3.5254 loss: 4.4207 loss_cls: 2.8737 loss_bbox: 1.5471 2024/10/27 07:41:29 - mmengine - INFO - Epoch(train) [80][1550/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:39:09 time: 0.2465 data_time: 0.0241 memory: 2049 grad_norm: 3.7236 loss: 4.4346 loss_cls: 2.8462 loss_bbox: 1.5884 2024/10/27 07:41:42 - mmengine - INFO - Epoch(train) [80][1600/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:38:56 time: 0.2468 data_time: 0.0334 memory: 2049 grad_norm: 3.5159 loss: 4.4507 loss_cls: 2.8843 loss_bbox: 1.5664 2024/10/27 07:41:54 - mmengine - INFO - Epoch(train) [80][1650/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:38:43 time: 0.2489 data_time: 0.0295 memory: 2049 grad_norm: 3.4852 loss: 4.5177 loss_cls: 2.9455 loss_bbox: 1.5723 2024/10/27 07:42:07 - mmengine - INFO - Epoch(train) [80][1700/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:38:31 time: 0.2527 data_time: 0.0256 memory: 2049 grad_norm: 3.6834 loss: 4.4624 loss_cls: 2.8979 loss_bbox: 1.5645 2024/10/27 07:42:15 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:42:19 - mmengine - INFO - Epoch(train) [80][1750/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:38:18 time: 0.2408 data_time: 0.0249 memory: 2049 grad_norm: 3.6246 loss: 4.3732 loss_cls: 2.8745 loss_bbox: 1.4987 2024/10/27 07:42:31 - mmengine - INFO - Epoch(train) [80][1800/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:38:05 time: 0.2473 data_time: 0.0258 memory: 2049 grad_norm: 3.4163 loss: 4.4703 loss_cls: 2.9018 loss_bbox: 1.5686 2024/10/27 07:42:43 - mmengine - INFO - Epoch(train) [80][1850/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:37:52 time: 0.2415 data_time: 0.0361 memory: 2049 grad_norm: 3.3495 loss: 4.4449 loss_cls: 2.8876 loss_bbox: 1.5573 2024/10/27 07:42:56 - mmengine - INFO - Epoch(train) [80][1900/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:37:39 time: 0.2503 data_time: 0.0271 memory: 2049 grad_norm: 3.4526 loss: 4.3656 loss_cls: 2.8766 loss_bbox: 1.4890 2024/10/27 07:43:08 - mmengine - INFO - Epoch(train) [80][1950/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:37:27 time: 0.2475 data_time: 0.0259 memory: 2049 grad_norm: 3.6297 loss: 4.3585 loss_cls: 2.8188 loss_bbox: 1.5397 2024/10/27 07:43:21 - mmengine - INFO - Epoch(train) [80][2000/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:37:14 time: 0.2503 data_time: 0.0353 memory: 2049 grad_norm: 3.7881 loss: 4.5023 loss_cls: 2.8871 loss_bbox: 1.6152 2024/10/27 07:43:33 - mmengine - INFO - Epoch(train) [80][2050/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:37:02 time: 0.2581 data_time: 0.0256 memory: 2049 grad_norm: 3.4649 loss: 4.4090 loss_cls: 2.8638 loss_bbox: 1.5452 2024/10/27 07:43:46 - mmengine - INFO - Epoch(train) [80][2100/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:36:49 time: 0.2404 data_time: 0.0292 memory: 2049 grad_norm: 3.6763 loss: 4.4735 loss_cls: 2.8941 loss_bbox: 1.5795 2024/10/27 07:43:58 - mmengine - INFO - Epoch(train) [80][2150/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:36:36 time: 0.2517 data_time: 0.0253 memory: 2049 grad_norm: 3.9045 loss: 4.4902 loss_cls: 2.8877 loss_bbox: 1.6025 2024/10/27 07:44:11 - mmengine - INFO - Epoch(train) [80][2200/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:36:24 time: 0.2531 data_time: 0.0236 memory: 2049 grad_norm: 3.3911 loss: 4.4465 loss_cls: 2.8846 loss_bbox: 1.5619 2024/10/27 07:44:23 - mmengine - INFO - Epoch(train) [80][2250/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:36:11 time: 0.2428 data_time: 0.0297 memory: 2049 grad_norm: 3.5566 loss: 4.4810 loss_cls: 2.9335 loss_bbox: 1.5476 2024/10/27 07:44:36 - mmengine - INFO - Epoch(train) [80][2300/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:35:58 time: 0.2574 data_time: 0.0272 memory: 2049 grad_norm: 3.4287 loss: 4.4622 loss_cls: 2.9429 loss_bbox: 1.5193 2024/10/27 07:44:48 - mmengine - INFO - Epoch(train) [80][2350/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:35:45 time: 0.2379 data_time: 0.0263 memory: 2049 grad_norm: 3.7069 loss: 4.4133 loss_cls: 2.9091 loss_bbox: 1.5042 2024/10/27 07:45:00 - mmengine - INFO - Epoch(train) [80][2400/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:35:33 time: 0.2517 data_time: 0.0236 memory: 2049 grad_norm: 3.2664 loss: 4.4503 loss_cls: 2.8680 loss_bbox: 1.5823 2024/10/27 07:45:13 - mmengine - INFO - Epoch(train) [80][2450/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:35:20 time: 0.2508 data_time: 0.0240 memory: 2049 grad_norm: 3.5590 loss: 4.4063 loss_cls: 2.8610 loss_bbox: 1.5453 2024/10/27 07:45:26 - mmengine - INFO - Epoch(train) [80][2500/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:35:07 time: 0.2527 data_time: 0.0240 memory: 2049 grad_norm: 3.3989 loss: 4.4784 loss_cls: 2.9065 loss_bbox: 1.5720 2024/10/27 07:45:38 - mmengine - INFO - Epoch(train) [80][2550/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:34:55 time: 0.2513 data_time: 0.0241 memory: 2049 grad_norm: 3.6201 loss: 4.2687 loss_cls: 2.7864 loss_bbox: 1.4823 2024/10/27 07:45:50 - mmengine - INFO - Epoch(train) [80][2600/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:34:42 time: 0.2363 data_time: 0.0259 memory: 2049 grad_norm: 3.6926 loss: 4.5038 loss_cls: 2.8992 loss_bbox: 1.6046 2024/10/27 07:46:03 - mmengine - INFO - Epoch(train) [80][2650/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:34:29 time: 0.2523 data_time: 0.0251 memory: 2049 grad_norm: 3.5244 loss: 4.4738 loss_cls: 2.9302 loss_bbox: 1.5436 2024/10/27 07:46:17 - mmengine - INFO - Epoch(train) [80][2700/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:34:18 time: 0.2959 data_time: 0.0667 memory: 2049 grad_norm: 3.7834 loss: 4.4800 loss_cls: 2.9225 loss_bbox: 1.5575 2024/10/27 07:46:25 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:46:30 - mmengine - INFO - Epoch(train) [80][2750/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:34:05 time: 0.2521 data_time: 0.0283 memory: 2049 grad_norm: 3.6585 loss: 4.5517 loss_cls: 2.9566 loss_bbox: 1.5951 2024/10/27 07:46:43 - mmengine - INFO - Epoch(train) [80][2800/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:33:53 time: 0.2611 data_time: 0.0332 memory: 2049 grad_norm: 3.3339 loss: 4.4723 loss_cls: 2.9232 loss_bbox: 1.5491 2024/10/27 07:46:55 - mmengine - INFO - Epoch(train) [80][2850/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:33:40 time: 0.2401 data_time: 0.0247 memory: 2049 grad_norm: 3.4530 loss: 4.4869 loss_cls: 2.8892 loss_bbox: 1.5976 2024/10/27 07:47:08 - mmengine - INFO - Epoch(train) [80][2900/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:33:28 time: 0.2567 data_time: 0.0299 memory: 2049 grad_norm: 4.0203 loss: 4.4022 loss_cls: 2.8662 loss_bbox: 1.5360 2024/10/27 07:47:20 - mmengine - INFO - Epoch(train) [80][2950/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:33:15 time: 0.2507 data_time: 0.0298 memory: 2049 grad_norm: 3.5734 loss: 4.4767 loss_cls: 2.8984 loss_bbox: 1.5783 2024/10/27 07:47:33 - mmengine - INFO - Epoch(train) [80][3000/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:33:03 time: 0.2576 data_time: 0.0329 memory: 2049 grad_norm: 3.4002 loss: 4.4564 loss_cls: 2.8885 loss_bbox: 1.5680 2024/10/27 07:47:46 - mmengine - INFO - Epoch(train) [80][3050/3054] base_lr: 1.8536e-03 lr: 1.8536e-03 eta: 8:32:50 time: 0.2555 data_time: 0.0243 memory: 2049 grad_norm: 3.5350 loss: 4.4395 loss_cls: 2.8946 loss_bbox: 1.5449 2024/10/27 07:47:47 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:47:47 - mmengine - INFO - Saving checkpoint at 80 epochs 2024/10/27 07:47:53 - mmengine - INFO - Epoch(val) [80][50/79] eta: 0:00:01 time: 0.0449 data_time: 0.0064 memory: 2049 2024/10/27 07:48:07 - mmengine - INFO - Evaluating bbox... 2024/10/27 07:49:15 - mmengine - INFO - bbox_mAP_copypaste: 0.175 0.306 0.174 0.013 0.150 0.341 2024/10/27 07:49:16 - mmengine - INFO - Epoch(val) [80][79/79] coco/bbox_mAP: 0.1750 coco/bbox_mAP_50: 0.3060 coco/bbox_mAP_75: 0.1740 coco/bbox_mAP_s: 0.0130 coco/bbox_mAP_m: 0.1500 coco/bbox_mAP_l: 0.3410 data_time: 0.0060 time: 0.0440 2024/10/27 07:49:28 - mmengine - INFO - Epoch(train) [81][ 50/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:32:36 time: 0.2359 data_time: 0.0415 memory: 2049 grad_norm: 3.2722 loss: 4.4224 loss_cls: 2.8782 loss_bbox: 1.5442 2024/10/27 07:49:41 - mmengine - INFO - Epoch(train) [81][ 100/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:32:23 time: 0.2539 data_time: 0.0267 memory: 2049 grad_norm: 3.5699 loss: 4.5380 loss_cls: 2.9346 loss_bbox: 1.6034 2024/10/27 07:49:52 - mmengine - INFO - Epoch(train) [81][ 150/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:32:10 time: 0.2256 data_time: 0.0314 memory: 2049 grad_norm: 3.5234 loss: 4.4634 loss_cls: 2.8911 loss_bbox: 1.5723 2024/10/27 07:50:04 - mmengine - INFO - Epoch(train) [81][ 200/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:31:57 time: 0.2357 data_time: 0.0272 memory: 2049 grad_norm: 3.4465 loss: 4.3796 loss_cls: 2.8231 loss_bbox: 1.5564 2024/10/27 07:50:18 - mmengine - INFO - Epoch(train) [81][ 250/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:31:45 time: 0.2755 data_time: 0.0662 memory: 2049 grad_norm: 3.4905 loss: 4.4410 loss_cls: 2.8719 loss_bbox: 1.5691 2024/10/27 07:50:29 - mmengine - INFO - Epoch(train) [81][ 300/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:31:32 time: 0.2309 data_time: 0.0280 memory: 2049 grad_norm: 3.6307 loss: 4.4730 loss_cls: 2.8869 loss_bbox: 1.5861 2024/10/27 07:50:41 - mmengine - INFO - Epoch(train) [81][ 350/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:31:19 time: 0.2440 data_time: 0.0301 memory: 2049 grad_norm: 3.5695 loss: 4.4923 loss_cls: 2.9192 loss_bbox: 1.5731 2024/10/27 07:50:54 - mmengine - INFO - Epoch(train) [81][ 400/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:31:06 time: 0.2440 data_time: 0.0333 memory: 2049 grad_norm: 3.6210 loss: 4.4460 loss_cls: 2.8867 loss_bbox: 1.5593 2024/10/27 07:51:06 - mmengine - INFO - Epoch(train) [81][ 450/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:30:53 time: 0.2411 data_time: 0.0278 memory: 2049 grad_norm: 3.7355 loss: 4.4563 loss_cls: 2.8622 loss_bbox: 1.5941 2024/10/27 07:51:18 - mmengine - INFO - Epoch(train) [81][ 500/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:30:41 time: 0.2538 data_time: 0.0273 memory: 2049 grad_norm: 3.4945 loss: 4.4870 loss_cls: 2.8932 loss_bbox: 1.5938 2024/10/27 07:51:30 - mmengine - INFO - Epoch(train) [81][ 550/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:30:27 time: 0.2315 data_time: 0.0266 memory: 2049 grad_norm: 3.3988 loss: 4.4325 loss_cls: 2.8732 loss_bbox: 1.5592 2024/10/27 07:51:42 - mmengine - INFO - Epoch(train) [81][ 600/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:30:14 time: 0.2428 data_time: 0.0268 memory: 2049 grad_norm: 3.5166 loss: 4.4596 loss_cls: 2.8966 loss_bbox: 1.5630 2024/10/27 07:51:55 - mmengine - INFO - Epoch(train) [81][ 650/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:30:02 time: 0.2470 data_time: 0.0332 memory: 2049 grad_norm: 3.6457 loss: 4.4021 loss_cls: 2.8551 loss_bbox: 1.5470 2024/10/27 07:52:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:52:07 - mmengine - INFO - Epoch(train) [81][ 700/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:29:49 time: 0.2472 data_time: 0.0275 memory: 2049 grad_norm: 3.5466 loss: 4.4080 loss_cls: 2.8534 loss_bbox: 1.5546 2024/10/27 07:52:20 - mmengine - INFO - Epoch(train) [81][ 750/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:29:37 time: 0.2632 data_time: 0.0263 memory: 2049 grad_norm: 3.4662 loss: 4.4262 loss_cls: 2.8522 loss_bbox: 1.5740 2024/10/27 07:52:32 - mmengine - INFO - Epoch(train) [81][ 800/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:29:24 time: 0.2407 data_time: 0.0267 memory: 2049 grad_norm: 3.7166 loss: 4.4003 loss_cls: 2.8756 loss_bbox: 1.5248 2024/10/27 07:52:45 - mmengine - INFO - Epoch(train) [81][ 850/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:29:11 time: 0.2541 data_time: 0.0274 memory: 2049 grad_norm: 3.5768 loss: 4.4034 loss_cls: 2.8737 loss_bbox: 1.5297 2024/10/27 07:52:57 - mmengine - INFO - Epoch(train) [81][ 900/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:28:59 time: 0.2523 data_time: 0.0265 memory: 2049 grad_norm: 3.4403 loss: 4.4819 loss_cls: 2.9081 loss_bbox: 1.5739 2024/10/27 07:53:10 - mmengine - INFO - Epoch(train) [81][ 950/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:28:46 time: 0.2518 data_time: 0.0350 memory: 2049 grad_norm: 3.4736 loss: 4.4625 loss_cls: 2.9165 loss_bbox: 1.5460 2024/10/27 07:53:23 - mmengine - INFO - Epoch(train) [81][1000/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:28:33 time: 0.2511 data_time: 0.0341 memory: 2049 grad_norm: 3.7109 loss: 4.3527 loss_cls: 2.8411 loss_bbox: 1.5116 2024/10/27 07:53:35 - mmengine - INFO - Epoch(train) [81][1050/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:28:21 time: 0.2472 data_time: 0.0264 memory: 2049 grad_norm: 3.6336 loss: 4.3454 loss_cls: 2.8323 loss_bbox: 1.5131 2024/10/27 07:53:48 - mmengine - INFO - Epoch(train) [81][1100/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:28:08 time: 0.2579 data_time: 0.0279 memory: 2049 grad_norm: 3.6096 loss: 4.4406 loss_cls: 2.8860 loss_bbox: 1.5546 2024/10/27 07:54:00 - mmengine - INFO - Epoch(train) [81][1150/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:27:56 time: 0.2452 data_time: 0.0250 memory: 2049 grad_norm: 3.4948 loss: 4.3993 loss_cls: 2.8775 loss_bbox: 1.5217 2024/10/27 07:54:13 - mmengine - INFO - Epoch(train) [81][1200/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:27:43 time: 0.2487 data_time: 0.0262 memory: 2049 grad_norm: 3.6570 loss: 4.5185 loss_cls: 2.9184 loss_bbox: 1.6001 2024/10/27 07:54:25 - mmengine - INFO - Epoch(train) [81][1250/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:27:30 time: 0.2477 data_time: 0.0272 memory: 2049 grad_norm: 3.8362 loss: 4.4320 loss_cls: 2.8748 loss_bbox: 1.5572 2024/10/27 07:54:37 - mmengine - INFO - Epoch(train) [81][1300/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:27:17 time: 0.2397 data_time: 0.0257 memory: 2049 grad_norm: 3.6940 loss: 4.4890 loss_cls: 2.9095 loss_bbox: 1.5795 2024/10/27 07:54:50 - mmengine - INFO - Epoch(train) [81][1350/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:27:05 time: 0.2530 data_time: 0.0365 memory: 2049 grad_norm: 3.5464 loss: 4.4061 loss_cls: 2.8454 loss_bbox: 1.5607 2024/10/27 07:55:01 - mmengine - INFO - Epoch(train) [81][1400/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:26:51 time: 0.2335 data_time: 0.0261 memory: 2049 grad_norm: 3.5447 loss: 4.4245 loss_cls: 2.8824 loss_bbox: 1.5421 2024/10/27 07:55:18 - mmengine - INFO - Epoch(train) [81][1450/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:26:41 time: 0.3300 data_time: 0.1057 memory: 2049 grad_norm: 3.5789 loss: 4.3637 loss_cls: 2.8480 loss_bbox: 1.5157 2024/10/27 07:55:30 - mmengine - INFO - Epoch(train) [81][1500/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:26:29 time: 0.2485 data_time: 0.0313 memory: 2049 grad_norm: 3.6066 loss: 4.3571 loss_cls: 2.8289 loss_bbox: 1.5282 2024/10/27 07:55:43 - mmengine - INFO - Epoch(train) [81][1550/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:26:16 time: 0.2444 data_time: 0.0324 memory: 2049 grad_norm: 3.5786 loss: 4.4245 loss_cls: 2.8768 loss_bbox: 1.5477 2024/10/27 07:55:55 - mmengine - INFO - Epoch(train) [81][1600/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:26:03 time: 0.2512 data_time: 0.0246 memory: 2049 grad_norm: 3.6221 loss: 4.4499 loss_cls: 2.8909 loss_bbox: 1.5590 2024/10/27 07:56:07 - mmengine - INFO - Epoch(train) [81][1650/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:25:50 time: 0.2311 data_time: 0.0261 memory: 2049 grad_norm: 3.6891 loss: 4.4514 loss_cls: 2.8809 loss_bbox: 1.5704 2024/10/27 07:56:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 07:56:19 - mmengine - INFO - Epoch(train) [81][1700/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:25:37 time: 0.2498 data_time: 0.0297 memory: 2049 grad_norm: 3.7606 loss: 4.4255 loss_cls: 2.8736 loss_bbox: 1.5519 2024/10/27 07:56:32 - mmengine - INFO - Epoch(train) [81][1750/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:25:25 time: 0.2469 data_time: 0.0272 memory: 2049 grad_norm: 3.7639 loss: 4.4196 loss_cls: 2.8571 loss_bbox: 1.5624 2024/10/27 07:56:44 - mmengine - INFO - Epoch(train) [81][1800/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:25:12 time: 0.2499 data_time: 0.0280 memory: 2049 grad_norm: 3.7859 loss: 4.4297 loss_cls: 2.8814 loss_bbox: 1.5482 2024/10/27 07:56:56 - mmengine - INFO - Epoch(train) [81][1850/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:24:59 time: 0.2478 data_time: 0.0261 memory: 2049 grad_norm: 3.6910 loss: 4.4140 loss_cls: 2.8497 loss_bbox: 1.5642 2024/10/27 07:57:09 - mmengine - INFO - Epoch(train) [81][1900/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:24:46 time: 0.2401 data_time: 0.0277 memory: 2049 grad_norm: 3.5721 loss: 4.4487 loss_cls: 2.8578 loss_bbox: 1.5909 2024/10/27 07:57:21 - mmengine - INFO - Epoch(train) [81][1950/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:24:33 time: 0.2483 data_time: 0.0265 memory: 2049 grad_norm: 3.5900 loss: 4.3642 loss_cls: 2.8575 loss_bbox: 1.5066 2024/10/27 07:57:34 - mmengine - INFO - Epoch(train) [81][2000/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:24:21 time: 0.2568 data_time: 0.0270 memory: 2049 grad_norm: 3.7508 loss: 4.4971 loss_cls: 2.8969 loss_bbox: 1.6002 2024/10/27 07:57:46 - mmengine - INFO - Epoch(train) [81][2050/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:24:08 time: 0.2409 data_time: 0.0265 memory: 2049 grad_norm: 3.8773 loss: 4.5060 loss_cls: 2.8737 loss_bbox: 1.6323 2024/10/27 07:57:59 - mmengine - INFO - Epoch(train) [81][2100/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:23:56 time: 0.2545 data_time: 0.0279 memory: 2049 grad_norm: 3.3160 loss: 4.4096 loss_cls: 2.8739 loss_bbox: 1.5357 2024/10/27 07:58:11 - mmengine - INFO - Epoch(train) [81][2150/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:23:43 time: 0.2409 data_time: 0.0263 memory: 2049 grad_norm: 3.3309 loss: 4.5148 loss_cls: 2.9371 loss_bbox: 1.5777 2024/10/27 07:58:23 - mmengine - INFO - Epoch(train) [81][2200/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:23:30 time: 0.2506 data_time: 0.0250 memory: 2049 grad_norm: 3.8732 loss: 4.4441 loss_cls: 2.8577 loss_bbox: 1.5864 2024/10/27 07:58:36 - mmengine - INFO - Epoch(train) [81][2250/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:23:18 time: 0.2556 data_time: 0.0255 memory: 2049 grad_norm: 3.6230 loss: 4.4751 loss_cls: 2.8982 loss_bbox: 1.5769 2024/10/27 07:58:49 - mmengine - INFO - Epoch(train) [81][2300/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:23:05 time: 0.2636 data_time: 0.0444 memory: 2049 grad_norm: 3.5495 loss: 4.4033 loss_cls: 2.8617 loss_bbox: 1.5416 2024/10/27 07:59:02 - mmengine - INFO - Epoch(train) [81][2350/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:22:53 time: 0.2575 data_time: 0.0380 memory: 2049 grad_norm: 3.5887 loss: 4.4284 loss_cls: 2.8559 loss_bbox: 1.5726 2024/10/27 07:59:18 - mmengine - INFO - Epoch(train) [81][2400/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:22:42 time: 0.3156 data_time: 0.0984 memory: 2049 grad_norm: 3.4948 loss: 4.4398 loss_cls: 2.8944 loss_bbox: 1.5454 2024/10/27 07:59:30 - mmengine - INFO - Epoch(train) [81][2450/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:22:30 time: 0.2478 data_time: 0.0335 memory: 2049 grad_norm: 3.6530 loss: 4.4441 loss_cls: 2.9071 loss_bbox: 1.5370 2024/10/27 07:59:43 - mmengine - INFO - Epoch(train) [81][2500/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:22:17 time: 0.2470 data_time: 0.0271 memory: 2049 grad_norm: 3.3902 loss: 4.3162 loss_cls: 2.8391 loss_bbox: 1.4772 2024/10/27 07:59:55 - mmengine - INFO - Epoch(train) [81][2550/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:22:04 time: 0.2439 data_time: 0.0252 memory: 2049 grad_norm: 3.5760 loss: 4.4936 loss_cls: 2.9214 loss_bbox: 1.5722 2024/10/27 08:00:08 - mmengine - INFO - Epoch(train) [81][2600/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:21:52 time: 0.2665 data_time: 0.0251 memory: 2049 grad_norm: 3.8711 loss: 4.4136 loss_cls: 2.8825 loss_bbox: 1.5311 2024/10/27 08:00:20 - mmengine - INFO - Epoch(train) [81][2650/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:21:39 time: 0.2411 data_time: 0.0242 memory: 2049 grad_norm: 3.3972 loss: 4.3734 loss_cls: 2.8163 loss_bbox: 1.5571 2024/10/27 08:00:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:00:33 - mmengine - INFO - Epoch(train) [81][2700/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:21:27 time: 0.2611 data_time: 0.0383 memory: 2049 grad_norm: 3.3724 loss: 4.5144 loss_cls: 2.9233 loss_bbox: 1.5911 2024/10/27 08:00:46 - mmengine - INFO - Epoch(train) [81][2750/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:21:14 time: 0.2510 data_time: 0.0271 memory: 2049 grad_norm: 3.7461 loss: 4.3206 loss_cls: 2.8102 loss_bbox: 1.5104 2024/10/27 08:00:58 - mmengine - INFO - Epoch(train) [81][2800/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:21:01 time: 0.2424 data_time: 0.0244 memory: 2049 grad_norm: 3.7428 loss: 4.3711 loss_cls: 2.8548 loss_bbox: 1.5164 2024/10/27 08:01:11 - mmengine - INFO - Epoch(train) [81][2850/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:20:49 time: 0.2681 data_time: 0.0237 memory: 2049 grad_norm: 3.6861 loss: 4.3861 loss_cls: 2.8677 loss_bbox: 1.5184 2024/10/27 08:01:24 - mmengine - INFO - Epoch(train) [81][2900/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:20:37 time: 0.2615 data_time: 0.0313 memory: 2049 grad_norm: 3.5733 loss: 4.4820 loss_cls: 2.9087 loss_bbox: 1.5733 2024/10/27 08:01:38 - mmengine - INFO - Epoch(train) [81][2950/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:20:24 time: 0.2616 data_time: 0.0251 memory: 2049 grad_norm: 3.5879 loss: 4.3804 loss_cls: 2.8638 loss_bbox: 1.5166 2024/10/27 08:01:50 - mmengine - INFO - Epoch(train) [81][3000/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:20:12 time: 0.2512 data_time: 0.0260 memory: 2049 grad_norm: 3.7844 loss: 4.3866 loss_cls: 2.8593 loss_bbox: 1.5273 2024/10/27 08:02:02 - mmengine - INFO - Epoch(train) [81][3050/3054] base_lr: 1.8000e-03 lr: 1.8000e-03 eta: 8:19:59 time: 0.2419 data_time: 0.0234 memory: 2049 grad_norm: 3.5918 loss: 4.4197 loss_cls: 2.8727 loss_bbox: 1.5471 2024/10/27 08:02:07 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:02:07 - mmengine - INFO - Saving checkpoint at 81 epochs 2024/10/27 08:02:22 - mmengine - INFO - Epoch(train) [82][ 50/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:19:48 time: 0.2543 data_time: 0.0445 memory: 2049 grad_norm: 3.5602 loss: 4.4151 loss_cls: 2.8425 loss_bbox: 1.5726 2024/10/27 08:02:34 - mmengine - INFO - Epoch(train) [82][ 100/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:19:34 time: 0.2301 data_time: 0.0255 memory: 2049 grad_norm: 3.7015 loss: 4.3773 loss_cls: 2.8413 loss_bbox: 1.5360 2024/10/27 08:02:46 - mmengine - INFO - Epoch(train) [82][ 150/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:19:21 time: 0.2424 data_time: 0.0338 memory: 2049 grad_norm: 3.5813 loss: 4.2740 loss_cls: 2.8183 loss_bbox: 1.4558 2024/10/27 08:02:58 - mmengine - INFO - Epoch(train) [82][ 200/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:19:08 time: 0.2304 data_time: 0.0261 memory: 2049 grad_norm: 3.8220 loss: 4.3396 loss_cls: 2.8452 loss_bbox: 1.4943 2024/10/27 08:03:09 - mmengine - INFO - Epoch(train) [82][ 250/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:18:55 time: 0.2212 data_time: 0.0247 memory: 2049 grad_norm: 3.7722 loss: 4.3642 loss_cls: 2.8685 loss_bbox: 1.4957 2024/10/27 08:03:21 - mmengine - INFO - Epoch(train) [82][ 300/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:18:42 time: 0.2427 data_time: 0.0246 memory: 2049 grad_norm: 3.6977 loss: 4.3761 loss_cls: 2.8758 loss_bbox: 1.5003 2024/10/27 08:03:33 - mmengine - INFO - Epoch(train) [82][ 350/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:18:29 time: 0.2415 data_time: 0.0300 memory: 2049 grad_norm: 3.8333 loss: 4.3656 loss_cls: 2.8366 loss_bbox: 1.5290 2024/10/27 08:03:46 - mmengine - INFO - Epoch(train) [82][ 400/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:18:16 time: 0.2544 data_time: 0.0250 memory: 2049 grad_norm: 3.4234 loss: 4.5142 loss_cls: 2.9358 loss_bbox: 1.5784 2024/10/27 08:03:57 - mmengine - INFO - Epoch(train) [82][ 450/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:18:03 time: 0.2283 data_time: 0.0254 memory: 2049 grad_norm: 3.6685 loss: 4.4039 loss_cls: 2.8527 loss_bbox: 1.5512 2024/10/27 08:04:09 - mmengine - INFO - Epoch(train) [82][ 500/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:17:50 time: 0.2358 data_time: 0.0262 memory: 2049 grad_norm: 4.0268 loss: 4.3187 loss_cls: 2.7996 loss_bbox: 1.5190 2024/10/27 08:04:22 - mmengine - INFO - Epoch(train) [82][ 550/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:17:38 time: 0.2560 data_time: 0.0253 memory: 2049 grad_norm: 3.6009 loss: 4.4070 loss_cls: 2.8631 loss_bbox: 1.5439 2024/10/27 08:04:34 - mmengine - INFO - Epoch(train) [82][ 600/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:17:25 time: 0.2503 data_time: 0.0271 memory: 2049 grad_norm: 3.6828 loss: 4.4162 loss_cls: 2.8675 loss_bbox: 1.5486 2024/10/27 08:04:41 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:04:47 - mmengine - INFO - Epoch(train) [82][ 650/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:17:12 time: 0.2587 data_time: 0.0348 memory: 2049 grad_norm: 3.6511 loss: 4.5425 loss_cls: 2.9367 loss_bbox: 1.6058 2024/10/27 08:04:59 - mmengine - INFO - Epoch(train) [82][ 700/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:17:00 time: 0.2447 data_time: 0.0281 memory: 2049 grad_norm: 3.7657 loss: 4.4361 loss_cls: 2.8726 loss_bbox: 1.5634 2024/10/27 08:05:11 - mmengine - INFO - Epoch(train) [82][ 750/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:16:47 time: 0.2415 data_time: 0.0253 memory: 2049 grad_norm: 3.5478 loss: 4.3792 loss_cls: 2.8417 loss_bbox: 1.5375 2024/10/27 08:05:24 - mmengine - INFO - Epoch(train) [82][ 800/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:16:34 time: 0.2535 data_time: 0.0337 memory: 2049 grad_norm: 3.8008 loss: 4.4048 loss_cls: 2.8606 loss_bbox: 1.5442 2024/10/27 08:05:37 - mmengine - INFO - Epoch(train) [82][ 850/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:16:22 time: 0.2514 data_time: 0.0256 memory: 2049 grad_norm: 3.6192 loss: 4.4516 loss_cls: 2.8832 loss_bbox: 1.5685 2024/10/27 08:05:50 - mmengine - INFO - Epoch(train) [82][ 900/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:16:09 time: 0.2621 data_time: 0.0251 memory: 2049 grad_norm: 3.7352 loss: 4.3383 loss_cls: 2.8488 loss_bbox: 1.4894 2024/10/27 08:06:02 - mmengine - INFO - Epoch(train) [82][ 950/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:15:57 time: 0.2520 data_time: 0.0274 memory: 2049 grad_norm: 3.9551 loss: 4.3688 loss_cls: 2.8210 loss_bbox: 1.5478 2024/10/27 08:06:18 - mmengine - INFO - Epoch(train) [82][1000/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:15:46 time: 0.3146 data_time: 0.0795 memory: 2049 grad_norm: 3.4894 loss: 4.3731 loss_cls: 2.8275 loss_bbox: 1.5456 2024/10/27 08:06:31 - mmengine - INFO - Epoch(train) [82][1050/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:15:33 time: 0.2475 data_time: 0.0263 memory: 2049 grad_norm: 3.4141 loss: 4.4306 loss_cls: 2.8829 loss_bbox: 1.5477 2024/10/27 08:06:43 - mmengine - INFO - Epoch(train) [82][1100/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:15:21 time: 0.2549 data_time: 0.0253 memory: 2049 grad_norm: 3.7240 loss: 4.4602 loss_cls: 2.8938 loss_bbox: 1.5664 2024/10/27 08:06:57 - mmengine - INFO - Epoch(train) [82][1150/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:15:09 time: 0.2778 data_time: 0.0250 memory: 2049 grad_norm: 3.5686 loss: 4.5085 loss_cls: 2.8708 loss_bbox: 1.6376 2024/10/27 08:07:10 - mmengine - INFO - Epoch(train) [82][1200/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:14:56 time: 0.2507 data_time: 0.0259 memory: 2049 grad_norm: 3.4169 loss: 4.3632 loss_cls: 2.8348 loss_bbox: 1.5284 2024/10/27 08:07:23 - mmengine - INFO - Epoch(train) [82][1250/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:14:44 time: 0.2708 data_time: 0.0278 memory: 2049 grad_norm: 3.7729 loss: 4.4492 loss_cls: 2.8752 loss_bbox: 1.5740 2024/10/27 08:07:36 - mmengine - INFO - Epoch(train) [82][1300/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:14:32 time: 0.2473 data_time: 0.0259 memory: 2049 grad_norm: 3.7820 loss: 4.3956 loss_cls: 2.8645 loss_bbox: 1.5311 2024/10/27 08:07:49 - mmengine - INFO - Epoch(train) [82][1350/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:14:19 time: 0.2611 data_time: 0.0263 memory: 2049 grad_norm: 3.7034 loss: 4.3729 loss_cls: 2.8509 loss_bbox: 1.5220 2024/10/27 08:08:02 - mmengine - INFO - Epoch(train) [82][1400/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:14:07 time: 0.2619 data_time: 0.0287 memory: 2049 grad_norm: 3.9082 loss: 4.4835 loss_cls: 2.8822 loss_bbox: 1.6013 2024/10/27 08:08:19 - mmengine - INFO - Epoch(train) [82][1450/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:13:57 time: 0.3327 data_time: 0.1064 memory: 2049 grad_norm: 3.7521 loss: 4.3433 loss_cls: 2.8204 loss_bbox: 1.5229 2024/10/27 08:08:32 - mmengine - INFO - Epoch(train) [82][1500/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:13:45 time: 0.2612 data_time: 0.0257 memory: 2049 grad_norm: 3.7425 loss: 4.5435 loss_cls: 2.9252 loss_bbox: 1.6182 2024/10/27 08:08:45 - mmengine - INFO - Epoch(train) [82][1550/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:13:32 time: 0.2666 data_time: 0.0280 memory: 2049 grad_norm: 3.5251 loss: 4.4544 loss_cls: 2.8962 loss_bbox: 1.5582 2024/10/27 08:08:58 - mmengine - INFO - Epoch(train) [82][1600/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:13:20 time: 0.2613 data_time: 0.0319 memory: 2049 grad_norm: 3.7842 loss: 4.3917 loss_cls: 2.8502 loss_bbox: 1.5415 2024/10/27 08:09:05 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:09:12 - mmengine - INFO - Epoch(train) [82][1650/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:13:08 time: 0.2716 data_time: 0.0263 memory: 2049 grad_norm: 3.8237 loss: 4.2655 loss_cls: 2.7864 loss_bbox: 1.4791 2024/10/27 08:09:25 - mmengine - INFO - Epoch(train) [82][1700/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:12:56 time: 0.2576 data_time: 0.0279 memory: 2049 grad_norm: 3.4102 loss: 4.3470 loss_cls: 2.8220 loss_bbox: 1.5250 2024/10/27 08:09:38 - mmengine - INFO - Epoch(train) [82][1750/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:12:44 time: 0.2686 data_time: 0.0322 memory: 2049 grad_norm: 3.5698 loss: 4.4572 loss_cls: 2.8836 loss_bbox: 1.5736 2024/10/27 08:09:51 - mmengine - INFO - Epoch(train) [82][1800/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:12:31 time: 0.2578 data_time: 0.0286 memory: 2049 grad_norm: 3.9828 loss: 4.4292 loss_cls: 2.8751 loss_bbox: 1.5541 2024/10/27 08:10:05 - mmengine - INFO - Epoch(train) [82][1850/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:12:19 time: 0.2708 data_time: 0.0282 memory: 2049 grad_norm: 3.6912 loss: 4.4000 loss_cls: 2.8483 loss_bbox: 1.5516 2024/10/27 08:10:19 - mmengine - INFO - Epoch(train) [82][1900/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:12:08 time: 0.2925 data_time: 0.0457 memory: 2049 grad_norm: 3.6975 loss: 4.4874 loss_cls: 2.9286 loss_bbox: 1.5588 2024/10/27 08:10:33 - mmengine - INFO - Epoch(train) [82][1950/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:11:56 time: 0.2780 data_time: 0.0286 memory: 2049 grad_norm: 3.7987 loss: 4.4149 loss_cls: 2.8655 loss_bbox: 1.5495 2024/10/27 08:10:47 - mmengine - INFO - Epoch(train) [82][2000/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:11:44 time: 0.2694 data_time: 0.0264 memory: 2049 grad_norm: 3.4740 loss: 4.2974 loss_cls: 2.8194 loss_bbox: 1.4780 2024/10/27 08:11:00 - mmengine - INFO - Epoch(train) [82][2050/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:11:32 time: 0.2606 data_time: 0.0228 memory: 2049 grad_norm: 3.7797 loss: 4.3996 loss_cls: 2.8691 loss_bbox: 1.5306 2024/10/27 08:11:13 - mmengine - INFO - Epoch(train) [82][2100/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:11:20 time: 0.2731 data_time: 0.0241 memory: 2049 grad_norm: 3.8023 loss: 4.3918 loss_cls: 2.8896 loss_bbox: 1.5022 2024/10/27 08:11:27 - mmengine - INFO - Epoch(train) [82][2150/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:11:07 time: 0.2660 data_time: 0.0263 memory: 2049 grad_norm: 3.7676 loss: 4.4010 loss_cls: 2.8716 loss_bbox: 1.5294 2024/10/27 08:11:40 - mmengine - INFO - Epoch(train) [82][2200/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:10:55 time: 0.2623 data_time: 0.0237 memory: 2049 grad_norm: 3.6190 loss: 4.5596 loss_cls: 2.9143 loss_bbox: 1.6453 2024/10/27 08:11:54 - mmengine - INFO - Epoch(train) [82][2250/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:10:44 time: 0.2826 data_time: 0.0290 memory: 2049 grad_norm: 3.6984 loss: 4.5142 loss_cls: 2.9097 loss_bbox: 1.6045 2024/10/27 08:12:07 - mmengine - INFO - Epoch(train) [82][2300/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:10:31 time: 0.2588 data_time: 0.0228 memory: 2049 grad_norm: 3.7645 loss: 4.3675 loss_cls: 2.8401 loss_bbox: 1.5273 2024/10/27 08:12:21 - mmengine - INFO - Epoch(train) [82][2350/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:10:19 time: 0.2755 data_time: 0.0231 memory: 2049 grad_norm: 3.7100 loss: 4.4378 loss_cls: 2.8614 loss_bbox: 1.5764 2024/10/27 08:12:34 - mmengine - INFO - Epoch(train) [82][2400/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:10:07 time: 0.2684 data_time: 0.0232 memory: 2049 grad_norm: 3.9673 loss: 4.3951 loss_cls: 2.8410 loss_bbox: 1.5541 2024/10/27 08:12:47 - mmengine - INFO - Epoch(train) [82][2450/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:09:55 time: 0.2547 data_time: 0.0250 memory: 2049 grad_norm: 3.7908 loss: 4.4153 loss_cls: 2.8758 loss_bbox: 1.5394 2024/10/27 08:13:01 - mmengine - INFO - Epoch(train) [82][2500/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:09:43 time: 0.2878 data_time: 0.0221 memory: 2049 grad_norm: 3.6632 loss: 4.4285 loss_cls: 2.9096 loss_bbox: 1.5189 2024/10/27 08:13:14 - mmengine - INFO - Epoch(train) [82][2550/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:09:31 time: 0.2606 data_time: 0.0230 memory: 2049 grad_norm: 3.4902 loss: 4.3987 loss_cls: 2.8633 loss_bbox: 1.5354 2024/10/27 08:13:28 - mmengine - INFO - Epoch(train) [82][2600/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:09:19 time: 0.2790 data_time: 0.0193 memory: 2049 grad_norm: 3.9340 loss: 4.4948 loss_cls: 2.8956 loss_bbox: 1.5992 2024/10/27 08:13:35 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:13:42 - mmengine - INFO - Epoch(train) [82][2650/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:09:07 time: 0.2734 data_time: 0.0203 memory: 2049 grad_norm: 3.5193 loss: 4.4368 loss_cls: 2.8690 loss_bbox: 1.5678 2024/10/27 08:13:55 - mmengine - INFO - Epoch(train) [82][2700/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:08:55 time: 0.2613 data_time: 0.0227 memory: 2049 grad_norm: 3.8032 loss: 4.4413 loss_cls: 2.9069 loss_bbox: 1.5344 2024/10/27 08:14:09 - mmengine - INFO - Epoch(train) [82][2750/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:08:43 time: 0.2807 data_time: 0.0249 memory: 2049 grad_norm: 3.6755 loss: 4.4848 loss_cls: 2.9460 loss_bbox: 1.5388 2024/10/27 08:14:22 - mmengine - INFO - Epoch(train) [82][2800/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:08:31 time: 0.2656 data_time: 0.0216 memory: 2049 grad_norm: 3.7495 loss: 4.3366 loss_cls: 2.8082 loss_bbox: 1.5284 2024/10/27 08:14:36 - mmengine - INFO - Epoch(train) [82][2850/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:08:19 time: 0.2654 data_time: 0.0216 memory: 2049 grad_norm: 3.6482 loss: 4.4498 loss_cls: 2.8876 loss_bbox: 1.5622 2024/10/27 08:14:49 - mmengine - INFO - Epoch(train) [82][2900/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:08:06 time: 0.2717 data_time: 0.0220 memory: 2049 grad_norm: 3.6702 loss: 4.4914 loss_cls: 2.9014 loss_bbox: 1.5901 2024/10/27 08:15:02 - mmengine - INFO - Epoch(train) [82][2950/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:07:54 time: 0.2634 data_time: 0.0223 memory: 2049 grad_norm: 3.9281 loss: 4.4351 loss_cls: 2.8573 loss_bbox: 1.5778 2024/10/27 08:15:19 - mmengine - INFO - Epoch(train) [82][3000/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:07:44 time: 0.3366 data_time: 0.0814 memory: 2049 grad_norm: 3.4469 loss: 4.4239 loss_cls: 2.8561 loss_bbox: 1.5678 2024/10/27 08:15:32 - mmengine - INFO - Epoch(train) [82][3050/3054] base_lr: 1.7448e-03 lr: 1.7448e-03 eta: 8:07:32 time: 0.2611 data_time: 0.0222 memory: 2049 grad_norm: 3.7416 loss: 4.4076 loss_cls: 2.8768 loss_bbox: 1.5308 2024/10/27 08:15:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:15:33 - mmengine - INFO - Saving checkpoint at 82 epochs 2024/10/27 08:15:48 - mmengine - INFO - Epoch(train) [83][ 50/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:07:18 time: 0.2441 data_time: 0.0336 memory: 2049 grad_norm: 3.6775 loss: 4.4059 loss_cls: 2.9146 loss_bbox: 1.4913 2024/10/27 08:16:00 - mmengine - INFO - Epoch(train) [83][ 100/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:07:05 time: 0.2487 data_time: 0.0230 memory: 2049 grad_norm: 3.6071 loss: 4.4076 loss_cls: 2.8897 loss_bbox: 1.5179 2024/10/27 08:16:12 - mmengine - INFO - Epoch(train) [83][ 150/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:06:52 time: 0.2377 data_time: 0.0292 memory: 2049 grad_norm: 3.4642 loss: 4.5123 loss_cls: 2.8757 loss_bbox: 1.6366 2024/10/27 08:16:24 - mmengine - INFO - Epoch(train) [83][ 200/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:06:39 time: 0.2485 data_time: 0.0231 memory: 2049 grad_norm: 3.7525 loss: 4.4527 loss_cls: 2.8408 loss_bbox: 1.6120 2024/10/27 08:16:36 - mmengine - INFO - Epoch(train) [83][ 250/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:06:26 time: 0.2374 data_time: 0.0286 memory: 2049 grad_norm: 3.6300 loss: 4.4280 loss_cls: 2.8607 loss_bbox: 1.5674 2024/10/27 08:16:49 - mmengine - INFO - Epoch(train) [83][ 300/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:06:14 time: 0.2516 data_time: 0.0274 memory: 2049 grad_norm: 3.5945 loss: 4.3354 loss_cls: 2.7935 loss_bbox: 1.5419 2024/10/27 08:17:02 - mmengine - INFO - Epoch(train) [83][ 350/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:06:01 time: 0.2631 data_time: 0.0334 memory: 2049 grad_norm: 3.4734 loss: 4.3225 loss_cls: 2.8021 loss_bbox: 1.5204 2024/10/27 08:17:16 - mmengine - INFO - Epoch(train) [83][ 400/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:05:50 time: 0.2900 data_time: 0.0827 memory: 2049 grad_norm: 3.7597 loss: 4.3455 loss_cls: 2.8466 loss_bbox: 1.4989 2024/10/27 08:17:30 - mmengine - INFO - Epoch(train) [83][ 450/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:05:38 time: 0.2628 data_time: 0.0235 memory: 2049 grad_norm: 3.5633 loss: 4.4969 loss_cls: 2.8927 loss_bbox: 1.6043 2024/10/27 08:17:42 - mmengine - INFO - Epoch(train) [83][ 500/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:05:25 time: 0.2464 data_time: 0.0243 memory: 2049 grad_norm: 3.8055 loss: 4.3666 loss_cls: 2.8233 loss_bbox: 1.5433 2024/10/27 08:17:55 - mmengine - INFO - Epoch(train) [83][ 550/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:05:12 time: 0.2554 data_time: 0.0216 memory: 2049 grad_norm: 3.6749 loss: 4.3687 loss_cls: 2.8140 loss_bbox: 1.5547 2024/10/27 08:18:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:18:07 - mmengine - INFO - Epoch(train) [83][ 600/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:05:00 time: 0.2523 data_time: 0.0222 memory: 2049 grad_norm: 3.8780 loss: 4.4566 loss_cls: 2.8692 loss_bbox: 1.5875 2024/10/27 08:18:20 - mmengine - INFO - Epoch(train) [83][ 650/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:04:47 time: 0.2428 data_time: 0.0309 memory: 2049 grad_norm: 3.5666 loss: 4.4425 loss_cls: 2.8728 loss_bbox: 1.5697 2024/10/27 08:18:33 - mmengine - INFO - Epoch(train) [83][ 700/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:04:35 time: 0.2667 data_time: 0.0227 memory: 2049 grad_norm: 3.6427 loss: 4.3796 loss_cls: 2.8693 loss_bbox: 1.5103 2024/10/27 08:18:45 - mmengine - INFO - Epoch(train) [83][ 750/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:04:22 time: 0.2391 data_time: 0.0214 memory: 2049 grad_norm: 3.5638 loss: 4.3377 loss_cls: 2.8636 loss_bbox: 1.4741 2024/10/27 08:18:58 - mmengine - INFO - Epoch(train) [83][ 800/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:04:10 time: 0.2633 data_time: 0.0288 memory: 2049 grad_norm: 3.6521 loss: 4.4538 loss_cls: 2.8589 loss_bbox: 1.5949 2024/10/27 08:19:11 - mmengine - INFO - Epoch(train) [83][ 850/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:03:57 time: 0.2629 data_time: 0.0317 memory: 2049 grad_norm: 3.7086 loss: 4.4523 loss_cls: 2.8891 loss_bbox: 1.5632 2024/10/27 08:19:23 - mmengine - INFO - Epoch(train) [83][ 900/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:03:44 time: 0.2465 data_time: 0.0296 memory: 2049 grad_norm: 3.4036 loss: 4.2832 loss_cls: 2.7920 loss_bbox: 1.4911 2024/10/27 08:19:37 - mmengine - INFO - Epoch(train) [83][ 950/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:03:32 time: 0.2695 data_time: 0.0215 memory: 2049 grad_norm: 3.9470 loss: 4.2990 loss_cls: 2.8249 loss_bbox: 1.4740 2024/10/27 08:19:49 - mmengine - INFO - Epoch(train) [83][1000/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:03:20 time: 0.2453 data_time: 0.0240 memory: 2049 grad_norm: 3.5624 loss: 4.3946 loss_cls: 2.8761 loss_bbox: 1.5186 2024/10/27 08:20:03 - mmengine - INFO - Epoch(train) [83][1050/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:03:08 time: 0.2752 data_time: 0.0323 memory: 2049 grad_norm: 3.6167 loss: 4.3764 loss_cls: 2.8558 loss_bbox: 1.5205 2024/10/27 08:20:17 - mmengine - INFO - Epoch(train) [83][1100/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:02:56 time: 0.2822 data_time: 0.0584 memory: 2049 grad_norm: 3.4525 loss: 4.3696 loss_cls: 2.8517 loss_bbox: 1.5179 2024/10/27 08:20:30 - mmengine - INFO - Epoch(train) [83][1150/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:02:43 time: 0.2502 data_time: 0.0316 memory: 2049 grad_norm: 3.8489 loss: 4.2900 loss_cls: 2.8457 loss_bbox: 1.4443 2024/10/27 08:20:43 - mmengine - INFO - Epoch(train) [83][1200/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:02:31 time: 0.2565 data_time: 0.0247 memory: 2049 grad_norm: 3.4792 loss: 4.3852 loss_cls: 2.8359 loss_bbox: 1.5493 2024/10/27 08:20:55 - mmengine - INFO - Epoch(train) [83][1250/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:02:18 time: 0.2523 data_time: 0.0246 memory: 2049 grad_norm: 3.5145 loss: 4.4014 loss_cls: 2.8403 loss_bbox: 1.5610 2024/10/27 08:21:09 - mmengine - INFO - Epoch(train) [83][1300/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:02:06 time: 0.2678 data_time: 0.0235 memory: 2049 grad_norm: 3.4734 loss: 4.4272 loss_cls: 2.8463 loss_bbox: 1.5809 2024/10/27 08:21:21 - mmengine - INFO - Epoch(train) [83][1350/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:01:53 time: 0.2502 data_time: 0.0246 memory: 2049 grad_norm: 3.7549 loss: 4.4305 loss_cls: 2.8625 loss_bbox: 1.5679 2024/10/27 08:21:33 - mmengine - INFO - Epoch(train) [83][1400/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:01:41 time: 0.2448 data_time: 0.0267 memory: 2049 grad_norm: 3.7343 loss: 4.3796 loss_cls: 2.8425 loss_bbox: 1.5371 2024/10/27 08:21:47 - mmengine - INFO - Epoch(train) [83][1450/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:01:28 time: 0.2663 data_time: 0.0240 memory: 2049 grad_norm: 3.7282 loss: 4.2713 loss_cls: 2.8033 loss_bbox: 1.4680 2024/10/27 08:21:59 - mmengine - INFO - Epoch(train) [83][1500/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:01:15 time: 0.2379 data_time: 0.0242 memory: 2049 grad_norm: 3.7319 loss: 4.4332 loss_cls: 2.8545 loss_bbox: 1.5788 2024/10/27 08:22:12 - mmengine - INFO - Epoch(train) [83][1550/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:01:03 time: 0.2672 data_time: 0.0272 memory: 2049 grad_norm: 3.5801 loss: 4.4408 loss_cls: 2.8556 loss_bbox: 1.5852 2024/10/27 08:22:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:22:24 - mmengine - INFO - Epoch(train) [83][1600/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:00:51 time: 0.2485 data_time: 0.0247 memory: 2049 grad_norm: 3.7402 loss: 4.3955 loss_cls: 2.8676 loss_bbox: 1.5279 2024/10/27 08:22:37 - mmengine - INFO - Epoch(train) [83][1650/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:00:38 time: 0.2467 data_time: 0.0326 memory: 2049 grad_norm: 3.7279 loss: 4.3753 loss_cls: 2.8407 loss_bbox: 1.5345 2024/10/27 08:22:50 - mmengine - INFO - Epoch(train) [83][1700/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:00:25 time: 0.2562 data_time: 0.0261 memory: 2049 grad_norm: 4.0565 loss: 4.4218 loss_cls: 2.8699 loss_bbox: 1.5519 2024/10/27 08:23:02 - mmengine - INFO - Epoch(train) [83][1750/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:00:13 time: 0.2468 data_time: 0.0318 memory: 2049 grad_norm: 3.5023 loss: 4.3646 loss_cls: 2.8360 loss_bbox: 1.5286 2024/10/27 08:23:18 - mmengine - INFO - Epoch(train) [83][1800/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 8:00:02 time: 0.3126 data_time: 0.0884 memory: 2049 grad_norm: 3.5794 loss: 4.4998 loss_cls: 2.9304 loss_bbox: 1.5695 2024/10/27 08:23:30 - mmengine - INFO - Epoch(train) [83][1850/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:59:49 time: 0.2378 data_time: 0.0242 memory: 2049 grad_norm: 3.4828 loss: 4.4073 loss_cls: 2.8593 loss_bbox: 1.5480 2024/10/27 08:23:43 - mmengine - INFO - Epoch(train) [83][1900/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:59:36 time: 0.2643 data_time: 0.0235 memory: 2049 grad_norm: 3.7013 loss: 4.3434 loss_cls: 2.8406 loss_bbox: 1.5028 2024/10/27 08:23:55 - mmengine - INFO - Epoch(train) [83][1950/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:59:24 time: 0.2471 data_time: 0.0243 memory: 2049 grad_norm: 3.8493 loss: 4.3848 loss_cls: 2.8336 loss_bbox: 1.5512 2024/10/27 08:24:08 - mmengine - INFO - Epoch(train) [83][2000/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:59:11 time: 0.2509 data_time: 0.0353 memory: 2049 grad_norm: 4.2469 loss: 4.4829 loss_cls: 2.8971 loss_bbox: 1.5857 2024/10/27 08:24:20 - mmengine - INFO - Epoch(train) [83][2050/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:58:58 time: 0.2542 data_time: 0.0235 memory: 2049 grad_norm: 3.3367 loss: 4.3100 loss_cls: 2.8094 loss_bbox: 1.5006 2024/10/27 08:24:33 - mmengine - INFO - Epoch(train) [83][2100/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:58:46 time: 0.2430 data_time: 0.0289 memory: 2049 grad_norm: 3.4259 loss: 4.4853 loss_cls: 2.8868 loss_bbox: 1.5984 2024/10/27 08:24:46 - mmengine - INFO - Epoch(train) [83][2150/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:58:34 time: 0.2728 data_time: 0.0240 memory: 2049 grad_norm: 3.8336 loss: 4.4043 loss_cls: 2.8816 loss_bbox: 1.5227 2024/10/27 08:24:58 - mmengine - INFO - Epoch(train) [83][2200/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:58:21 time: 0.2392 data_time: 0.0243 memory: 2049 grad_norm: 3.5875 loss: 4.3118 loss_cls: 2.7939 loss_bbox: 1.5179 2024/10/27 08:25:11 - mmengine - INFO - Epoch(train) [83][2250/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:58:08 time: 0.2545 data_time: 0.0277 memory: 2049 grad_norm: 3.7621 loss: 4.2721 loss_cls: 2.7971 loss_bbox: 1.4750 2024/10/27 08:25:24 - mmengine - INFO - Epoch(train) [83][2300/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:57:56 time: 0.2582 data_time: 0.0255 memory: 2049 grad_norm: 3.6962 loss: 4.2857 loss_cls: 2.8018 loss_bbox: 1.4839 2024/10/27 08:25:36 - mmengine - INFO - Epoch(train) [83][2350/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:57:43 time: 0.2393 data_time: 0.0243 memory: 2049 grad_norm: 3.5263 loss: 4.4716 loss_cls: 2.9233 loss_bbox: 1.5484 2024/10/27 08:25:50 - mmengine - INFO - Epoch(train) [83][2400/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:57:31 time: 0.2751 data_time: 0.0239 memory: 2049 grad_norm: 3.7473 loss: 4.3958 loss_cls: 2.8781 loss_bbox: 1.5176 2024/10/27 08:26:02 - mmengine - INFO - Epoch(train) [83][2450/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:57:18 time: 0.2433 data_time: 0.0241 memory: 2049 grad_norm: 3.6055 loss: 4.3679 loss_cls: 2.8360 loss_bbox: 1.5319 2024/10/27 08:26:18 - mmengine - INFO - Epoch(train) [83][2500/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:57:07 time: 0.3178 data_time: 0.0929 memory: 2049 grad_norm: 3.9453 loss: 4.3508 loss_cls: 2.8034 loss_bbox: 1.5474 2024/10/27 08:26:31 - mmengine - INFO - Epoch(train) [83][2550/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:56:55 time: 0.2577 data_time: 0.0248 memory: 2049 grad_norm: 3.5436 loss: 4.4336 loss_cls: 2.8514 loss_bbox: 1.5823 2024/10/27 08:26:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:26:42 - mmengine - INFO - Epoch(train) [83][2600/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:56:42 time: 0.2364 data_time: 0.0261 memory: 2049 grad_norm: 3.6243 loss: 4.3504 loss_cls: 2.8455 loss_bbox: 1.5049 2024/10/27 08:26:56 - mmengine - INFO - Epoch(train) [83][2650/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:56:30 time: 0.2702 data_time: 0.0349 memory: 2049 grad_norm: 3.9270 loss: 4.3810 loss_cls: 2.8496 loss_bbox: 1.5314 2024/10/27 08:27:08 - mmengine - INFO - Epoch(train) [83][2700/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:56:17 time: 0.2416 data_time: 0.0235 memory: 2049 grad_norm: 3.4982 loss: 4.4891 loss_cls: 2.8992 loss_bbox: 1.5898 2024/10/27 08:27:20 - mmengine - INFO - Epoch(train) [83][2750/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:56:04 time: 0.2333 data_time: 0.0235 memory: 2049 grad_norm: 3.5461 loss: 4.3853 loss_cls: 2.8566 loss_bbox: 1.5287 2024/10/27 08:27:33 - mmengine - INFO - Epoch(train) [83][2800/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:55:51 time: 0.2668 data_time: 0.0230 memory: 2049 grad_norm: 3.8137 loss: 4.4807 loss_cls: 2.8994 loss_bbox: 1.5813 2024/10/27 08:27:45 - mmengine - INFO - Epoch(train) [83][2850/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:55:38 time: 0.2369 data_time: 0.0235 memory: 2049 grad_norm: 3.7247 loss: 4.3170 loss_cls: 2.8094 loss_bbox: 1.5076 2024/10/27 08:27:58 - mmengine - INFO - Epoch(train) [83][2900/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:55:26 time: 0.2630 data_time: 0.0254 memory: 2049 grad_norm: 3.8658 loss: 4.3627 loss_cls: 2.8405 loss_bbox: 1.5222 2024/10/27 08:28:10 - mmengine - INFO - Epoch(train) [83][2950/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:55:13 time: 0.2363 data_time: 0.0245 memory: 2049 grad_norm: 3.7717 loss: 4.3370 loss_cls: 2.8241 loss_bbox: 1.5128 2024/10/27 08:28:22 - mmengine - INFO - Epoch(train) [83][3000/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:55:00 time: 0.2373 data_time: 0.0239 memory: 2049 grad_norm: 3.7569 loss: 4.3090 loss_cls: 2.8090 loss_bbox: 1.5000 2024/10/27 08:28:35 - mmengine - INFO - Epoch(train) [83][3050/3054] base_lr: 1.6881e-03 lr: 1.6881e-03 eta: 7:54:48 time: 0.2615 data_time: 0.0228 memory: 2049 grad_norm: 3.9444 loss: 4.4673 loss_cls: 2.9019 loss_bbox: 1.5654 2024/10/27 08:28:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:28:36 - mmengine - INFO - Saving checkpoint at 83 epochs 2024/10/27 08:28:51 - mmengine - INFO - Epoch(train) [84][ 50/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:54:34 time: 0.2435 data_time: 0.0390 memory: 2049 grad_norm: 3.4836 loss: 4.3983 loss_cls: 2.8777 loss_bbox: 1.5207 2024/10/27 08:29:04 - mmengine - INFO - Epoch(train) [84][ 100/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:54:21 time: 0.2654 data_time: 0.0355 memory: 2049 grad_norm: 3.4432 loss: 4.2997 loss_cls: 2.7992 loss_bbox: 1.5005 2024/10/27 08:29:18 - mmengine - INFO - Epoch(train) [84][ 150/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:54:09 time: 0.2614 data_time: 0.0441 memory: 2049 grad_norm: 4.0779 loss: 4.3537 loss_cls: 2.8405 loss_bbox: 1.5132 2024/10/27 08:29:29 - mmengine - INFO - Epoch(train) [84][ 200/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:53:56 time: 0.2379 data_time: 0.0244 memory: 2049 grad_norm: 3.7171 loss: 4.3436 loss_cls: 2.8432 loss_bbox: 1.5004 2024/10/27 08:29:42 - mmengine - INFO - Epoch(train) [84][ 250/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:53:44 time: 0.2556 data_time: 0.0245 memory: 2049 grad_norm: 3.7519 loss: 4.3632 loss_cls: 2.8261 loss_bbox: 1.5371 2024/10/27 08:29:54 - mmengine - INFO - Epoch(train) [84][ 300/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:53:30 time: 0.2340 data_time: 0.0251 memory: 2049 grad_norm: 3.4264 loss: 4.3549 loss_cls: 2.8259 loss_bbox: 1.5289 2024/10/27 08:30:07 - mmengine - INFO - Epoch(train) [84][ 350/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:53:18 time: 0.2688 data_time: 0.0271 memory: 2049 grad_norm: 4.0172 loss: 4.2693 loss_cls: 2.7498 loss_bbox: 1.5195 2024/10/27 08:30:20 - mmengine - INFO - Epoch(train) [84][ 400/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:53:06 time: 0.2485 data_time: 0.0251 memory: 2049 grad_norm: 3.6102 loss: 4.3340 loss_cls: 2.8050 loss_bbox: 1.5290 2024/10/27 08:30:32 - mmengine - INFO - Epoch(train) [84][ 450/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:52:53 time: 0.2501 data_time: 0.0255 memory: 2049 grad_norm: 3.8010 loss: 4.3291 loss_cls: 2.8235 loss_bbox: 1.5056 2024/10/27 08:30:45 - mmengine - INFO - Epoch(train) [84][ 500/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:52:40 time: 0.2575 data_time: 0.0348 memory: 2049 grad_norm: 3.7166 loss: 4.3452 loss_cls: 2.8442 loss_bbox: 1.5010 2024/10/27 08:30:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:30:57 - mmengine - INFO - Epoch(train) [84][ 550/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:52:28 time: 0.2426 data_time: 0.0301 memory: 2049 grad_norm: 3.6067 loss: 4.3782 loss_cls: 2.8631 loss_bbox: 1.5151 2024/10/27 08:31:11 - mmengine - INFO - Epoch(train) [84][ 600/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:52:15 time: 0.2677 data_time: 0.0278 memory: 2049 grad_norm: 3.5897 loss: 4.4436 loss_cls: 2.8688 loss_bbox: 1.5748 2024/10/27 08:31:23 - mmengine - INFO - Epoch(train) [84][ 650/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:52:03 time: 0.2453 data_time: 0.0270 memory: 2049 grad_norm: 3.8657 loss: 4.4506 loss_cls: 2.8872 loss_bbox: 1.5634 2024/10/27 08:31:36 - mmengine - INFO - Epoch(train) [84][ 700/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:51:50 time: 0.2642 data_time: 0.0292 memory: 2049 grad_norm: 3.6872 loss: 4.3364 loss_cls: 2.8379 loss_bbox: 1.4985 2024/10/27 08:31:50 - mmengine - INFO - Epoch(train) [84][ 750/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:51:38 time: 0.2642 data_time: 0.0250 memory: 2049 grad_norm: 3.6474 loss: 4.3876 loss_cls: 2.8485 loss_bbox: 1.5391 2024/10/27 08:32:02 - mmengine - INFO - Epoch(train) [84][ 800/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:51:25 time: 0.2464 data_time: 0.0339 memory: 2049 grad_norm: 3.7780 loss: 4.4339 loss_cls: 2.8294 loss_bbox: 1.6044 2024/10/27 08:32:18 - mmengine - INFO - Epoch(train) [84][ 850/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:51:14 time: 0.3134 data_time: 0.0743 memory: 2049 grad_norm: 3.6022 loss: 4.3910 loss_cls: 2.8596 loss_bbox: 1.5314 2024/10/27 08:32:31 - mmengine - INFO - Epoch(train) [84][ 900/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:51:02 time: 0.2588 data_time: 0.0260 memory: 2049 grad_norm: 3.4822 loss: 4.3195 loss_cls: 2.8246 loss_bbox: 1.4949 2024/10/27 08:32:44 - mmengine - INFO - Epoch(train) [84][ 950/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:50:50 time: 0.2636 data_time: 0.0350 memory: 2049 grad_norm: 3.5895 loss: 4.2314 loss_cls: 2.7572 loss_bbox: 1.4741 2024/10/27 08:32:56 - mmengine - INFO - Epoch(train) [84][1000/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:50:37 time: 0.2482 data_time: 0.0249 memory: 2049 grad_norm: 3.9305 loss: 4.4476 loss_cls: 2.9085 loss_bbox: 1.5391 2024/10/27 08:33:08 - mmengine - INFO - Epoch(train) [84][1050/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:50:24 time: 0.2399 data_time: 0.0250 memory: 2049 grad_norm: 3.9000 loss: 4.3669 loss_cls: 2.8287 loss_bbox: 1.5382 2024/10/27 08:33:21 - mmengine - INFO - Epoch(train) [84][1100/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:50:12 time: 0.2571 data_time: 0.0249 memory: 2049 grad_norm: 4.0445 loss: 4.2866 loss_cls: 2.7919 loss_bbox: 1.4946 2024/10/27 08:33:34 - mmengine - INFO - Epoch(train) [84][1150/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:49:59 time: 0.2528 data_time: 0.0381 memory: 2049 grad_norm: 3.9563 loss: 4.5010 loss_cls: 2.9071 loss_bbox: 1.5938 2024/10/27 08:33:47 - mmengine - INFO - Epoch(train) [84][1200/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:49:47 time: 0.2565 data_time: 0.0243 memory: 2049 grad_norm: 3.5163 loss: 4.4185 loss_cls: 2.8804 loss_bbox: 1.5381 2024/10/27 08:34:00 - mmengine - INFO - Epoch(train) [84][1250/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:49:34 time: 0.2608 data_time: 0.0270 memory: 2049 grad_norm: 3.7679 loss: 4.3831 loss_cls: 2.8485 loss_bbox: 1.5346 2024/10/27 08:34:12 - mmengine - INFO - Epoch(train) [84][1300/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:49:21 time: 0.2425 data_time: 0.0264 memory: 2049 grad_norm: 3.6935 loss: 4.4133 loss_cls: 2.8660 loss_bbox: 1.5473 2024/10/27 08:34:25 - mmengine - INFO - Epoch(train) [84][1350/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:49:09 time: 0.2706 data_time: 0.0317 memory: 2049 grad_norm: 3.4415 loss: 4.3043 loss_cls: 2.7785 loss_bbox: 1.5258 2024/10/27 08:34:37 - mmengine - INFO - Epoch(train) [84][1400/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:48:56 time: 0.2391 data_time: 0.0262 memory: 2049 grad_norm: 3.7976 loss: 4.3819 loss_cls: 2.8495 loss_bbox: 1.5324 2024/10/27 08:34:50 - mmengine - INFO - Epoch(train) [84][1450/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:48:44 time: 0.2497 data_time: 0.0245 memory: 2049 grad_norm: 3.6907 loss: 4.3581 loss_cls: 2.8629 loss_bbox: 1.4952 2024/10/27 08:35:02 - mmengine - INFO - Epoch(train) [84][1500/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:48:31 time: 0.2415 data_time: 0.0271 memory: 2049 grad_norm: 3.9061 loss: 4.2980 loss_cls: 2.8130 loss_bbox: 1.4849 2024/10/27 08:35:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:35:18 - mmengine - INFO - Epoch(train) [84][1550/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:48:20 time: 0.3124 data_time: 0.0944 memory: 2049 grad_norm: 3.8643 loss: 4.3662 loss_cls: 2.8230 loss_bbox: 1.5433 2024/10/27 08:35:31 - mmengine - INFO - Epoch(train) [84][1600/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:48:08 time: 0.2665 data_time: 0.0313 memory: 2049 grad_norm: 3.6031 loss: 4.3838 loss_cls: 2.8626 loss_bbox: 1.5213 2024/10/27 08:35:43 - mmengine - INFO - Epoch(train) [84][1650/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:47:55 time: 0.2418 data_time: 0.0255 memory: 2049 grad_norm: 3.5401 loss: 4.3882 loss_cls: 2.8470 loss_bbox: 1.5412 2024/10/27 08:35:56 - mmengine - INFO - Epoch(train) [84][1700/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:47:42 time: 0.2548 data_time: 0.0257 memory: 2049 grad_norm: 3.8189 loss: 4.3525 loss_cls: 2.8501 loss_bbox: 1.5024 2024/10/27 08:36:08 - mmengine - INFO - Epoch(train) [84][1750/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:47:29 time: 0.2393 data_time: 0.0293 memory: 2049 grad_norm: 3.5612 loss: 4.2826 loss_cls: 2.7781 loss_bbox: 1.5045 2024/10/27 08:36:21 - mmengine - INFO - Epoch(train) [84][1800/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:47:17 time: 0.2654 data_time: 0.0330 memory: 2049 grad_norm: 3.8650 loss: 4.3788 loss_cls: 2.8619 loss_bbox: 1.5170 2024/10/27 08:36:34 - mmengine - INFO - Epoch(train) [84][1850/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:47:05 time: 0.2631 data_time: 0.0279 memory: 2049 grad_norm: 3.4394 loss: 4.3284 loss_cls: 2.7889 loss_bbox: 1.5395 2024/10/27 08:36:47 - mmengine - INFO - Epoch(train) [84][1900/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:46:52 time: 0.2556 data_time: 0.0250 memory: 2049 grad_norm: 3.8011 loss: 4.2802 loss_cls: 2.7649 loss_bbox: 1.5153 2024/10/27 08:37:00 - mmengine - INFO - Epoch(train) [84][1950/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:46:40 time: 0.2642 data_time: 0.0386 memory: 2049 grad_norm: 3.7150 loss: 4.4015 loss_cls: 2.8323 loss_bbox: 1.5693 2024/10/27 08:37:12 - mmengine - INFO - Epoch(train) [84][2000/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:46:27 time: 0.2430 data_time: 0.0255 memory: 2049 grad_norm: 3.6680 loss: 4.3650 loss_cls: 2.8416 loss_bbox: 1.5234 2024/10/27 08:37:25 - mmengine - INFO - Epoch(train) [84][2050/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:46:15 time: 0.2585 data_time: 0.0253 memory: 2049 grad_norm: 3.8577 loss: 4.3275 loss_cls: 2.8144 loss_bbox: 1.5131 2024/10/27 08:37:38 - mmengine - INFO - Epoch(train) [84][2100/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:46:02 time: 0.2548 data_time: 0.0339 memory: 2049 grad_norm: 3.9457 loss: 4.3929 loss_cls: 2.8277 loss_bbox: 1.5652 2024/10/27 08:37:50 - mmengine - INFO - Epoch(train) [84][2150/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:45:49 time: 0.2485 data_time: 0.0318 memory: 2049 grad_norm: 3.7111 loss: 4.3078 loss_cls: 2.8366 loss_bbox: 1.4711 2024/10/27 08:38:03 - mmengine - INFO - Epoch(train) [84][2200/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:45:37 time: 0.2588 data_time: 0.0343 memory: 2049 grad_norm: 3.8542 loss: 4.4007 loss_cls: 2.8420 loss_bbox: 1.5587 2024/10/27 08:38:17 - mmengine - INFO - Epoch(train) [84][2250/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:45:25 time: 0.2720 data_time: 0.0609 memory: 2049 grad_norm: 3.6986 loss: 4.4277 loss_cls: 2.8541 loss_bbox: 1.5736 2024/10/27 08:38:30 - mmengine - INFO - Epoch(train) [84][2300/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:45:12 time: 0.2598 data_time: 0.0353 memory: 2049 grad_norm: 3.7070 loss: 4.3725 loss_cls: 2.8193 loss_bbox: 1.5532 2024/10/27 08:38:43 - mmengine - INFO - Epoch(train) [84][2350/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:45:00 time: 0.2492 data_time: 0.0269 memory: 2049 grad_norm: 3.6708 loss: 4.3469 loss_cls: 2.8158 loss_bbox: 1.5312 2024/10/27 08:38:54 - mmengine - INFO - Epoch(train) [84][2400/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:44:47 time: 0.2379 data_time: 0.0274 memory: 2049 grad_norm: 3.9500 loss: 4.2968 loss_cls: 2.8031 loss_bbox: 1.4937 2024/10/27 08:39:08 - mmengine - INFO - Epoch(train) [84][2450/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:44:35 time: 0.2687 data_time: 0.0302 memory: 2049 grad_norm: 3.6477 loss: 4.3004 loss_cls: 2.7875 loss_bbox: 1.5129 2024/10/27 08:39:19 - mmengine - INFO - Epoch(train) [84][2500/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:44:21 time: 0.2298 data_time: 0.0239 memory: 2049 grad_norm: 3.9854 loss: 4.3822 loss_cls: 2.8695 loss_bbox: 1.5127 2024/10/27 08:39:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:39:33 - mmengine - INFO - Epoch(train) [84][2550/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:44:09 time: 0.2623 data_time: 0.0303 memory: 2049 grad_norm: 3.8563 loss: 4.2965 loss_cls: 2.8081 loss_bbox: 1.4883 2024/10/27 08:39:45 - mmengine - INFO - Epoch(train) [84][2600/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:43:56 time: 0.2452 data_time: 0.0233 memory: 2049 grad_norm: 3.7425 loss: 4.4215 loss_cls: 2.8395 loss_bbox: 1.5820 2024/10/27 08:39:57 - mmengine - INFO - Epoch(train) [84][2650/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:43:43 time: 0.2405 data_time: 0.0230 memory: 2049 grad_norm: 3.8568 loss: 4.3509 loss_cls: 2.8399 loss_bbox: 1.5110 2024/10/27 08:40:10 - mmengine - INFO - Epoch(train) [84][2700/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:43:31 time: 0.2655 data_time: 0.0277 memory: 2049 grad_norm: 3.8625 loss: 4.2909 loss_cls: 2.7969 loss_bbox: 1.4940 2024/10/27 08:40:22 - mmengine - INFO - Epoch(train) [84][2750/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:43:18 time: 0.2448 data_time: 0.0245 memory: 2049 grad_norm: 3.6960 loss: 4.2912 loss_cls: 2.8368 loss_bbox: 1.4545 2024/10/27 08:40:35 - mmengine - INFO - Epoch(train) [84][2800/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:43:06 time: 0.2593 data_time: 0.0286 memory: 2049 grad_norm: 4.2022 loss: 4.3555 loss_cls: 2.8541 loss_bbox: 1.5014 2024/10/27 08:40:48 - mmengine - INFO - Epoch(train) [84][2850/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:42:53 time: 0.2493 data_time: 0.0286 memory: 2049 grad_norm: 3.9272 loss: 4.2820 loss_cls: 2.7947 loss_bbox: 1.4873 2024/10/27 08:41:01 - mmengine - INFO - Epoch(train) [84][2900/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:42:41 time: 0.2565 data_time: 0.0262 memory: 2049 grad_norm: 3.5164 loss: 4.5498 loss_cls: 2.9264 loss_bbox: 1.6234 2024/10/27 08:41:14 - mmengine - INFO - Epoch(train) [84][2950/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:42:28 time: 0.2644 data_time: 0.0251 memory: 2049 grad_norm: 3.6329 loss: 4.4770 loss_cls: 2.8657 loss_bbox: 1.6113 2024/10/27 08:41:26 - mmengine - INFO - Epoch(train) [84][3000/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:42:16 time: 0.2508 data_time: 0.0292 memory: 2049 grad_norm: 3.9090 loss: 4.3296 loss_cls: 2.8231 loss_bbox: 1.5065 2024/10/27 08:41:39 - mmengine - INFO - Epoch(train) [84][3050/3054] base_lr: 1.6300e-03 lr: 1.6300e-03 eta: 7:42:03 time: 0.2504 data_time: 0.0267 memory: 2049 grad_norm: 3.9953 loss: 4.3828 loss_cls: 2.8736 loss_bbox: 1.5092 2024/10/27 08:41:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:41:40 - mmengine - INFO - Saving checkpoint at 84 epochs 2024/10/27 08:41:56 - mmengine - INFO - Epoch(train) [85][ 50/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:41:49 time: 0.2556 data_time: 0.0467 memory: 2049 grad_norm: 3.4866 loss: 4.3459 loss_cls: 2.8137 loss_bbox: 1.5322 2024/10/27 08:42:08 - mmengine - INFO - Epoch(train) [85][ 100/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:41:37 time: 0.2410 data_time: 0.0310 memory: 2049 grad_norm: 3.9753 loss: 4.4265 loss_cls: 2.8520 loss_bbox: 1.5744 2024/10/27 08:42:20 - mmengine - INFO - Epoch(train) [85][ 150/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:41:24 time: 0.2441 data_time: 0.0359 memory: 2049 grad_norm: 3.8230 loss: 4.4042 loss_cls: 2.8836 loss_bbox: 1.5206 2024/10/27 08:42:32 - mmengine - INFO - Epoch(train) [85][ 200/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:41:11 time: 0.2425 data_time: 0.0307 memory: 2049 grad_norm: 3.7292 loss: 4.3668 loss_cls: 2.8362 loss_bbox: 1.5306 2024/10/27 08:42:45 - mmengine - INFO - Epoch(train) [85][ 250/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:40:58 time: 0.2479 data_time: 0.0268 memory: 2049 grad_norm: 4.2666 loss: 4.3465 loss_cls: 2.8010 loss_bbox: 1.5456 2024/10/27 08:42:57 - mmengine - INFO - Epoch(train) [85][ 300/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:40:45 time: 0.2481 data_time: 0.0273 memory: 2049 grad_norm: 3.7853 loss: 4.3863 loss_cls: 2.8110 loss_bbox: 1.5753 2024/10/27 08:43:10 - mmengine - INFO - Epoch(train) [85][ 350/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:40:33 time: 0.2624 data_time: 0.0320 memory: 2049 grad_norm: 3.7501 loss: 4.3840 loss_cls: 2.8396 loss_bbox: 1.5444 2024/10/27 08:43:23 - mmengine - INFO - Epoch(train) [85][ 400/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:40:21 time: 0.2531 data_time: 0.0346 memory: 2049 grad_norm: 3.7258 loss: 4.4173 loss_cls: 2.8532 loss_bbox: 1.5641 2024/10/27 08:43:35 - mmengine - INFO - Epoch(train) [85][ 450/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:40:08 time: 0.2385 data_time: 0.0269 memory: 2049 grad_norm: 3.9429 loss: 4.2784 loss_cls: 2.7792 loss_bbox: 1.4992 2024/10/27 08:43:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:43:47 - mmengine - INFO - Epoch(train) [85][ 500/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:39:55 time: 0.2425 data_time: 0.0277 memory: 2049 grad_norm: 3.9246 loss: 4.4516 loss_cls: 2.8515 loss_bbox: 1.6001 2024/10/27 08:44:00 - mmengine - INFO - Epoch(train) [85][ 550/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:39:42 time: 0.2527 data_time: 0.0265 memory: 2049 grad_norm: 3.4680 loss: 4.3139 loss_cls: 2.7929 loss_bbox: 1.5211 2024/10/27 08:44:12 - mmengine - INFO - Epoch(train) [85][ 600/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:39:30 time: 0.2554 data_time: 0.0280 memory: 2049 grad_norm: 3.9372 loss: 4.3647 loss_cls: 2.8190 loss_bbox: 1.5457 2024/10/27 08:44:25 - mmengine - INFO - Epoch(train) [85][ 650/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:39:17 time: 0.2526 data_time: 0.0278 memory: 2049 grad_norm: 3.5822 loss: 4.2517 loss_cls: 2.7719 loss_bbox: 1.4798 2024/10/27 08:44:37 - mmengine - INFO - Epoch(train) [85][ 700/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:39:04 time: 0.2346 data_time: 0.0268 memory: 2049 grad_norm: 3.7620 loss: 4.2994 loss_cls: 2.8220 loss_bbox: 1.4774 2024/10/27 08:44:49 - mmengine - INFO - Epoch(train) [85][ 750/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:38:51 time: 0.2433 data_time: 0.0266 memory: 2049 grad_norm: 3.8800 loss: 4.3829 loss_cls: 2.8102 loss_bbox: 1.5727 2024/10/27 08:45:02 - mmengine - INFO - Epoch(train) [85][ 800/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:38:38 time: 0.2531 data_time: 0.0334 memory: 2049 grad_norm: 4.0724 loss: 4.4018 loss_cls: 2.8308 loss_bbox: 1.5710 2024/10/27 08:45:17 - mmengine - INFO - Epoch(train) [85][ 850/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:38:28 time: 0.3133 data_time: 0.0918 memory: 2049 grad_norm: 3.5210 loss: 4.3977 loss_cls: 2.8208 loss_bbox: 1.5769 2024/10/27 08:45:30 - mmengine - INFO - Epoch(train) [85][ 900/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:38:15 time: 0.2520 data_time: 0.0273 memory: 2049 grad_norm: 3.6560 loss: 4.3822 loss_cls: 2.8597 loss_bbox: 1.5225 2024/10/27 08:45:42 - mmengine - INFO - Epoch(train) [85][ 950/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:38:02 time: 0.2430 data_time: 0.0340 memory: 2049 grad_norm: 3.8545 loss: 4.3071 loss_cls: 2.7962 loss_bbox: 1.5110 2024/10/27 08:45:55 - mmengine - INFO - Epoch(train) [85][1000/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:37:49 time: 0.2514 data_time: 0.0267 memory: 2049 grad_norm: 3.9337 loss: 4.3756 loss_cls: 2.8530 loss_bbox: 1.5226 2024/10/27 08:46:08 - mmengine - INFO - Epoch(train) [85][1050/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:37:37 time: 0.2600 data_time: 0.0246 memory: 2049 grad_norm: 3.6291 loss: 4.3179 loss_cls: 2.7821 loss_bbox: 1.5358 2024/10/27 08:46:20 - mmengine - INFO - Epoch(train) [85][1100/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:37:24 time: 0.2468 data_time: 0.0277 memory: 2049 grad_norm: 3.8260 loss: 4.4146 loss_cls: 2.8566 loss_bbox: 1.5579 2024/10/27 08:46:33 - mmengine - INFO - Epoch(train) [85][1150/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:37:12 time: 0.2577 data_time: 0.0253 memory: 2049 grad_norm: 4.0519 loss: 4.3841 loss_cls: 2.8282 loss_bbox: 1.5559 2024/10/27 08:46:45 - mmengine - INFO - Epoch(train) [85][1200/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:36:59 time: 0.2407 data_time: 0.0280 memory: 2049 grad_norm: 3.9007 loss: 4.3604 loss_cls: 2.8277 loss_bbox: 1.5328 2024/10/27 08:46:58 - mmengine - INFO - Epoch(train) [85][1250/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:36:46 time: 0.2526 data_time: 0.0253 memory: 2049 grad_norm: 3.9194 loss: 4.3746 loss_cls: 2.8460 loss_bbox: 1.5286 2024/10/27 08:47:11 - mmengine - INFO - Epoch(train) [85][1300/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:36:34 time: 0.2593 data_time: 0.0345 memory: 2049 grad_norm: 3.8240 loss: 4.4769 loss_cls: 2.8984 loss_bbox: 1.5785 2024/10/27 08:47:24 - mmengine - INFO - Epoch(train) [85][1350/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:36:21 time: 0.2560 data_time: 0.0334 memory: 2049 grad_norm: 3.9760 loss: 4.3703 loss_cls: 2.8253 loss_bbox: 1.5450 2024/10/27 08:47:36 - mmengine - INFO - Epoch(train) [85][1400/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:36:09 time: 0.2510 data_time: 0.0259 memory: 2049 grad_norm: 3.6530 loss: 4.3436 loss_cls: 2.8074 loss_bbox: 1.5362 2024/10/27 08:47:48 - mmengine - INFO - Epoch(train) [85][1450/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:35:56 time: 0.2324 data_time: 0.0310 memory: 2049 grad_norm: 3.8629 loss: 4.5104 loss_cls: 2.9171 loss_bbox: 1.5933 2024/10/27 08:47:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:48:00 - mmengine - INFO - Epoch(train) [85][1500/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:35:43 time: 0.2548 data_time: 0.0244 memory: 2049 grad_norm: 3.5816 loss: 4.2828 loss_cls: 2.8002 loss_bbox: 1.4826 2024/10/27 08:48:13 - mmengine - INFO - Epoch(train) [85][1550/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:35:30 time: 0.2473 data_time: 0.0265 memory: 2049 grad_norm: 3.8058 loss: 4.4017 loss_cls: 2.8443 loss_bbox: 1.5574 2024/10/27 08:48:25 - mmengine - INFO - Epoch(train) [85][1600/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:35:18 time: 0.2494 data_time: 0.0269 memory: 2049 grad_norm: 3.6986 loss: 4.2009 loss_cls: 2.7484 loss_bbox: 1.4525 2024/10/27 08:48:38 - mmengine - INFO - Epoch(train) [85][1650/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:35:05 time: 0.2618 data_time: 0.0254 memory: 2049 grad_norm: 3.9049 loss: 4.4152 loss_cls: 2.8915 loss_bbox: 1.5237 2024/10/27 08:48:50 - mmengine - INFO - Epoch(train) [85][1700/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:34:52 time: 0.2297 data_time: 0.0251 memory: 2049 grad_norm: 3.7699 loss: 4.4289 loss_cls: 2.8345 loss_bbox: 1.5945 2024/10/27 08:49:03 - mmengine - INFO - Epoch(train) [85][1750/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:34:40 time: 0.2528 data_time: 0.0248 memory: 2049 grad_norm: 3.7543 loss: 4.3387 loss_cls: 2.8145 loss_bbox: 1.5242 2024/10/27 08:49:18 - mmengine - INFO - Epoch(train) [85][1800/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:34:28 time: 0.3031 data_time: 0.0857 memory: 2049 grad_norm: 3.8637 loss: 4.2915 loss_cls: 2.8123 loss_bbox: 1.4792 2024/10/27 08:49:31 - mmengine - INFO - Epoch(train) [85][1850/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:34:16 time: 0.2561 data_time: 0.0336 memory: 2049 grad_norm: 4.2720 loss: 4.3074 loss_cls: 2.8140 loss_bbox: 1.4934 2024/10/27 08:49:43 - mmengine - INFO - Epoch(train) [85][1900/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:34:03 time: 0.2412 data_time: 0.0262 memory: 2049 grad_norm: 3.7320 loss: 4.3457 loss_cls: 2.8059 loss_bbox: 1.5398 2024/10/27 08:49:54 - mmengine - INFO - Epoch(train) [85][1950/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:33:50 time: 0.2281 data_time: 0.0248 memory: 2049 grad_norm: 3.9424 loss: 4.3268 loss_cls: 2.8328 loss_bbox: 1.4941 2024/10/27 08:50:07 - mmengine - INFO - Epoch(train) [85][2000/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:33:37 time: 0.2580 data_time: 0.0259 memory: 2049 grad_norm: 3.8696 loss: 4.3367 loss_cls: 2.8407 loss_bbox: 1.4960 2024/10/27 08:50:19 - mmengine - INFO - Epoch(train) [85][2050/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:33:24 time: 0.2357 data_time: 0.0249 memory: 2049 grad_norm: 3.5541 loss: 4.3271 loss_cls: 2.8344 loss_bbox: 1.4927 2024/10/27 08:50:31 - mmengine - INFO - Epoch(train) [85][2100/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:33:11 time: 0.2396 data_time: 0.0261 memory: 2049 grad_norm: 3.7896 loss: 4.3740 loss_cls: 2.8171 loss_bbox: 1.5570 2024/10/27 08:50:43 - mmengine - INFO - Epoch(train) [85][2150/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:32:58 time: 0.2459 data_time: 0.0249 memory: 2049 grad_norm: 3.9036 loss: 4.2838 loss_cls: 2.8041 loss_bbox: 1.4797 2024/10/27 08:50:54 - mmengine - INFO - Epoch(train) [85][2200/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:32:45 time: 0.2241 data_time: 0.0259 memory: 2049 grad_norm: 3.7622 loss: 4.4195 loss_cls: 2.8784 loss_bbox: 1.5411 2024/10/27 08:51:07 - mmengine - INFO - Epoch(train) [85][2250/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:32:32 time: 0.2520 data_time: 0.0380 memory: 2049 grad_norm: 3.9566 loss: 4.3346 loss_cls: 2.8393 loss_bbox: 1.4953 2024/10/27 08:51:19 - mmengine - INFO - Epoch(train) [85][2300/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:32:19 time: 0.2319 data_time: 0.0255 memory: 2049 grad_norm: 3.5810 loss: 4.3268 loss_cls: 2.7759 loss_bbox: 1.5509 2024/10/27 08:51:31 - mmengine - INFO - Epoch(train) [85][2350/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:32:06 time: 0.2435 data_time: 0.0249 memory: 2049 grad_norm: 3.9292 loss: 4.3481 loss_cls: 2.8333 loss_bbox: 1.5147 2024/10/27 08:51:43 - mmengine - INFO - Epoch(train) [85][2400/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:31:54 time: 0.2419 data_time: 0.0274 memory: 2049 grad_norm: 3.6261 loss: 4.3882 loss_cls: 2.8208 loss_bbox: 1.5673 2024/10/27 08:51:54 - mmengine - INFO - Epoch(train) [85][2450/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:31:40 time: 0.2244 data_time: 0.0253 memory: 2049 grad_norm: 3.6481 loss: 4.3577 loss_cls: 2.8676 loss_bbox: 1.4901 2024/10/27 08:51:58 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:52:06 - mmengine - INFO - Epoch(train) [85][2500/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:31:27 time: 0.2408 data_time: 0.0275 memory: 2049 grad_norm: 3.7934 loss: 4.3742 loss_cls: 2.8151 loss_bbox: 1.5591 2024/10/27 08:52:18 - mmengine - INFO - Epoch(train) [85][2550/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:31:14 time: 0.2339 data_time: 0.0244 memory: 2049 grad_norm: 3.8312 loss: 4.3921 loss_cls: 2.8551 loss_bbox: 1.5370 2024/10/27 08:52:30 - mmengine - INFO - Epoch(train) [85][2600/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:31:01 time: 0.2427 data_time: 0.0321 memory: 2049 grad_norm: 4.1354 loss: 4.2858 loss_cls: 2.7925 loss_bbox: 1.4933 2024/10/27 08:52:42 - mmengine - INFO - Epoch(train) [85][2650/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:30:48 time: 0.2330 data_time: 0.0248 memory: 2049 grad_norm: 3.6766 loss: 4.2894 loss_cls: 2.7998 loss_bbox: 1.4897 2024/10/27 08:52:54 - mmengine - INFO - Epoch(train) [85][2700/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:30:35 time: 0.2400 data_time: 0.0249 memory: 2049 grad_norm: 3.4576 loss: 4.3406 loss_cls: 2.7984 loss_bbox: 1.5422 2024/10/27 08:53:06 - mmengine - INFO - Epoch(train) [85][2750/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:30:23 time: 0.2496 data_time: 0.0232 memory: 2049 grad_norm: 3.8274 loss: 4.3009 loss_cls: 2.7908 loss_bbox: 1.5102 2024/10/27 08:53:19 - mmengine - INFO - Epoch(train) [85][2800/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:30:10 time: 0.2451 data_time: 0.0253 memory: 2049 grad_norm: 3.7405 loss: 4.3966 loss_cls: 2.8555 loss_bbox: 1.5411 2024/10/27 08:53:31 - mmengine - INFO - Epoch(train) [85][2850/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:29:57 time: 0.2542 data_time: 0.0239 memory: 2049 grad_norm: 3.6098 loss: 4.4511 loss_cls: 2.8676 loss_bbox: 1.5835 2024/10/27 08:53:43 - mmengine - INFO - Epoch(train) [85][2900/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:29:44 time: 0.2295 data_time: 0.0243 memory: 2049 grad_norm: 3.7840 loss: 4.3472 loss_cls: 2.8189 loss_bbox: 1.5283 2024/10/27 08:53:55 - mmengine - INFO - Epoch(train) [85][2950/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:29:31 time: 0.2432 data_time: 0.0251 memory: 2049 grad_norm: 3.9325 loss: 4.3044 loss_cls: 2.7899 loss_bbox: 1.5145 2024/10/27 08:54:08 - mmengine - INFO - Epoch(train) [85][3000/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:29:19 time: 0.2533 data_time: 0.0301 memory: 2049 grad_norm: 3.8352 loss: 4.4217 loss_cls: 2.8566 loss_bbox: 1.5651 2024/10/27 08:54:20 - mmengine - INFO - Epoch(train) [85][3050/3054] base_lr: 1.5708e-03 lr: 1.5708e-03 eta: 7:29:06 time: 0.2442 data_time: 0.0289 memory: 2049 grad_norm: 3.7788 loss: 4.2833 loss_cls: 2.7905 loss_bbox: 1.4928 2024/10/27 08:54:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:54:21 - mmengine - INFO - Saving checkpoint at 85 epochs 2024/10/27 08:54:27 - mmengine - INFO - Epoch(val) [85][50/79] eta: 0:00:01 time: 0.0403 data_time: 0.0047 memory: 2049 2024/10/27 08:54:39 - mmengine - INFO - Evaluating bbox... 2024/10/27 08:55:35 - mmengine - INFO - bbox_mAP_copypaste: 0.188 0.324 0.187 0.016 0.169 0.370 2024/10/27 08:55:36 - mmengine - INFO - Epoch(val) [85][79/79] coco/bbox_mAP: 0.1880 coco/bbox_mAP_50: 0.3240 coco/bbox_mAP_75: 0.1870 coco/bbox_mAP_s: 0.0160 coco/bbox_mAP_m: 0.1690 coco/bbox_mAP_l: 0.3700 data_time: 0.0043 time: 0.0395 2024/10/27 08:55:49 - mmengine - INFO - Epoch(train) [86][ 50/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:28:52 time: 0.2533 data_time: 0.0364 memory: 2049 grad_norm: 3.7443 loss: 4.2847 loss_cls: 2.7630 loss_bbox: 1.5217 2024/10/27 08:56:00 - mmengine - INFO - Epoch(train) [86][ 100/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:28:39 time: 0.2243 data_time: 0.0263 memory: 2049 grad_norm: 3.9903 loss: 4.2886 loss_cls: 2.8117 loss_bbox: 1.4769 2024/10/27 08:56:12 - mmengine - INFO - Epoch(train) [86][ 150/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:28:26 time: 0.2343 data_time: 0.0251 memory: 2049 grad_norm: 3.6933 loss: 4.2554 loss_cls: 2.7682 loss_bbox: 1.4871 2024/10/27 08:56:24 - mmengine - INFO - Epoch(train) [86][ 200/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:28:13 time: 0.2307 data_time: 0.0254 memory: 2049 grad_norm: 3.7588 loss: 4.3649 loss_cls: 2.8456 loss_bbox: 1.5193 2024/10/27 08:56:35 - mmengine - INFO - Epoch(train) [86][ 250/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:28:00 time: 0.2363 data_time: 0.0277 memory: 2049 grad_norm: 3.8774 loss: 4.3190 loss_cls: 2.7876 loss_bbox: 1.5314 2024/10/27 08:56:47 - mmengine - INFO - Epoch(train) [86][ 300/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:27:47 time: 0.2393 data_time: 0.0295 memory: 2049 grad_norm: 3.8201 loss: 4.2733 loss_cls: 2.7438 loss_bbox: 1.5295 2024/10/27 08:57:00 - mmengine - INFO - Epoch(train) [86][ 350/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:27:34 time: 0.2439 data_time: 0.0330 memory: 2049 grad_norm: 3.6973 loss: 4.2680 loss_cls: 2.7825 loss_bbox: 1.4855 2024/10/27 08:57:11 - mmengine - INFO - Epoch(train) [86][ 400/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:27:21 time: 0.2348 data_time: 0.0302 memory: 2049 grad_norm: 3.8459 loss: 4.2846 loss_cls: 2.7667 loss_bbox: 1.5179 2024/10/27 08:57:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 08:57:23 - mmengine - INFO - Epoch(train) [86][ 450/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:27:08 time: 0.2347 data_time: 0.0321 memory: 2049 grad_norm: 3.9691 loss: 4.3139 loss_cls: 2.7939 loss_bbox: 1.5200 2024/10/27 08:57:35 - mmengine - INFO - Epoch(train) [86][ 500/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:26:55 time: 0.2416 data_time: 0.0302 memory: 2049 grad_norm: 3.8048 loss: 4.2689 loss_cls: 2.7779 loss_bbox: 1.4910 2024/10/27 08:57:47 - mmengine - INFO - Epoch(train) [86][ 550/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:26:42 time: 0.2435 data_time: 0.0253 memory: 2049 grad_norm: 3.9180 loss: 4.3198 loss_cls: 2.7917 loss_bbox: 1.5281 2024/10/27 08:57:59 - mmengine - INFO - Epoch(train) [86][ 600/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:26:29 time: 0.2382 data_time: 0.0261 memory: 2049 grad_norm: 3.9489 loss: 4.2476 loss_cls: 2.7598 loss_bbox: 1.4879 2024/10/27 08:58:11 - mmengine - INFO - Epoch(train) [86][ 650/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:26:16 time: 0.2429 data_time: 0.0328 memory: 2049 grad_norm: 3.7663 loss: 4.3266 loss_cls: 2.7840 loss_bbox: 1.5426 2024/10/27 08:58:23 - mmengine - INFO - Epoch(train) [86][ 700/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:26:03 time: 0.2323 data_time: 0.0272 memory: 2049 grad_norm: 3.9402 loss: 4.3049 loss_cls: 2.7819 loss_bbox: 1.5230 2024/10/27 08:58:35 - mmengine - INFO - Epoch(train) [86][ 750/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:25:50 time: 0.2403 data_time: 0.0305 memory: 2049 grad_norm: 3.9947 loss: 4.3271 loss_cls: 2.7778 loss_bbox: 1.5493 2024/10/27 08:58:47 - mmengine - INFO - Epoch(train) [86][ 800/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:25:37 time: 0.2395 data_time: 0.0246 memory: 2049 grad_norm: 3.5870 loss: 4.2328 loss_cls: 2.7562 loss_bbox: 1.4765 2024/10/27 08:58:59 - mmengine - INFO - Epoch(train) [86][ 850/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:25:25 time: 0.2411 data_time: 0.0240 memory: 2049 grad_norm: 3.9271 loss: 4.3129 loss_cls: 2.8147 loss_bbox: 1.4982 2024/10/27 08:59:11 - mmengine - INFO - Epoch(train) [86][ 900/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:25:11 time: 0.2352 data_time: 0.0247 memory: 2049 grad_norm: 3.7708 loss: 4.3863 loss_cls: 2.8503 loss_bbox: 1.5360 2024/10/27 08:59:23 - mmengine - INFO - Epoch(train) [86][ 950/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:24:59 time: 0.2494 data_time: 0.0277 memory: 2049 grad_norm: 4.0015 loss: 4.3377 loss_cls: 2.7899 loss_bbox: 1.5478 2024/10/27 08:59:35 - mmengine - INFO - Epoch(train) [86][1000/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:24:46 time: 0.2313 data_time: 0.0244 memory: 2049 grad_norm: 3.8237 loss: 4.1631 loss_cls: 2.7449 loss_bbox: 1.4182 2024/10/27 08:59:47 - mmengine - INFO - Epoch(train) [86][1050/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:24:33 time: 0.2489 data_time: 0.0302 memory: 2049 grad_norm: 3.4285 loss: 4.2357 loss_cls: 2.7616 loss_bbox: 1.4741 2024/10/27 08:59:59 - mmengine - INFO - Epoch(train) [86][1100/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:24:20 time: 0.2418 data_time: 0.0259 memory: 2049 grad_norm: 3.7426 loss: 4.2080 loss_cls: 2.7376 loss_bbox: 1.4704 2024/10/27 09:00:12 - mmengine - INFO - Epoch(train) [86][1150/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:24:07 time: 0.2473 data_time: 0.0296 memory: 2049 grad_norm: 3.7103 loss: 4.3746 loss_cls: 2.8268 loss_bbox: 1.5477 2024/10/27 09:00:24 - mmengine - INFO - Epoch(train) [86][1200/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:23:55 time: 0.2455 data_time: 0.0242 memory: 2049 grad_norm: 3.9219 loss: 4.3162 loss_cls: 2.8182 loss_bbox: 1.4980 2024/10/27 09:00:36 - mmengine - INFO - Epoch(train) [86][1250/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:23:42 time: 0.2392 data_time: 0.0269 memory: 2049 grad_norm: 3.8987 loss: 4.3227 loss_cls: 2.7861 loss_bbox: 1.5366 2024/10/27 09:00:48 - mmengine - INFO - Epoch(train) [86][1300/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:23:29 time: 0.2420 data_time: 0.0262 memory: 2049 grad_norm: 3.8389 loss: 4.3231 loss_cls: 2.8051 loss_bbox: 1.5180 2024/10/27 09:01:00 - mmengine - INFO - Epoch(train) [86][1350/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:23:16 time: 0.2427 data_time: 0.0259 memory: 2049 grad_norm: 3.7444 loss: 4.3281 loss_cls: 2.8135 loss_bbox: 1.5146 2024/10/27 09:01:13 - mmengine - INFO - Epoch(train) [86][1400/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:23:03 time: 0.2535 data_time: 0.0245 memory: 2049 grad_norm: 3.8636 loss: 4.3483 loss_cls: 2.8045 loss_bbox: 1.5438 2024/10/27 09:01:15 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:01:25 - mmengine - INFO - Epoch(train) [86][1450/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:22:51 time: 0.2437 data_time: 0.0245 memory: 2049 grad_norm: 3.8353 loss: 4.2763 loss_cls: 2.7926 loss_bbox: 1.4837 2024/10/27 09:01:37 - mmengine - INFO - Epoch(train) [86][1500/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:22:37 time: 0.2278 data_time: 0.0251 memory: 2049 grad_norm: 4.0894 loss: 4.3089 loss_cls: 2.7973 loss_bbox: 1.5117 2024/10/27 09:01:49 - mmengine - INFO - Epoch(train) [86][1550/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:22:25 time: 0.2524 data_time: 0.0279 memory: 2049 grad_norm: 3.9581 loss: 4.2207 loss_cls: 2.7340 loss_bbox: 1.4866 2024/10/27 09:02:01 - mmengine - INFO - Epoch(train) [86][1600/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:22:12 time: 0.2365 data_time: 0.0257 memory: 2049 grad_norm: 3.8285 loss: 4.2171 loss_cls: 2.7543 loss_bbox: 1.4627 2024/10/27 09:02:14 - mmengine - INFO - Epoch(train) [86][1650/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:21:59 time: 0.2588 data_time: 0.0318 memory: 2049 grad_norm: 4.3349 loss: 4.4114 loss_cls: 2.8227 loss_bbox: 1.5887 2024/10/27 09:02:26 - mmengine - INFO - Epoch(train) [86][1700/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:21:47 time: 0.2428 data_time: 0.0245 memory: 2049 grad_norm: 3.7824 loss: 4.3218 loss_cls: 2.8165 loss_bbox: 1.5054 2024/10/27 09:02:38 - mmengine - INFO - Epoch(train) [86][1750/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:21:34 time: 0.2394 data_time: 0.0238 memory: 2049 grad_norm: 4.0827 loss: 4.4351 loss_cls: 2.8678 loss_bbox: 1.5673 2024/10/27 09:02:51 - mmengine - INFO - Epoch(train) [86][1800/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:21:21 time: 0.2473 data_time: 0.0238 memory: 2049 grad_norm: 3.8022 loss: 4.4008 loss_cls: 2.8513 loss_bbox: 1.5495 2024/10/27 09:03:03 - mmengine - INFO - Epoch(train) [86][1850/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:21:08 time: 0.2497 data_time: 0.0296 memory: 2049 grad_norm: 4.0508 loss: 4.3940 loss_cls: 2.8491 loss_bbox: 1.5449 2024/10/27 09:03:18 - mmengine - INFO - Epoch(train) [86][1900/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:20:57 time: 0.2987 data_time: 0.0745 memory: 2049 grad_norm: 3.6363 loss: 4.2433 loss_cls: 2.7672 loss_bbox: 1.4761 2024/10/27 09:03:31 - mmengine - INFO - Epoch(train) [86][1950/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:20:44 time: 0.2517 data_time: 0.0235 memory: 2049 grad_norm: 3.8059 loss: 4.3548 loss_cls: 2.7920 loss_bbox: 1.5627 2024/10/27 09:03:43 - mmengine - INFO - Epoch(train) [86][2000/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:20:32 time: 0.2539 data_time: 0.0291 memory: 2049 grad_norm: 3.7076 loss: 4.3030 loss_cls: 2.8000 loss_bbox: 1.5030 2024/10/27 09:03:56 - mmengine - INFO - Epoch(train) [86][2050/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:20:19 time: 0.2457 data_time: 0.0253 memory: 2049 grad_norm: 3.9184 loss: 4.3516 loss_cls: 2.8345 loss_bbox: 1.5171 2024/10/27 09:04:08 - mmengine - INFO - Epoch(train) [86][2100/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:20:06 time: 0.2486 data_time: 0.0260 memory: 2049 grad_norm: 3.6276 loss: 4.2783 loss_cls: 2.7879 loss_bbox: 1.4904 2024/10/27 09:04:21 - mmengine - INFO - Epoch(train) [86][2150/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:19:54 time: 0.2553 data_time: 0.0359 memory: 2049 grad_norm: 3.8225 loss: 4.3295 loss_cls: 2.8262 loss_bbox: 1.5033 2024/10/27 09:04:33 - mmengine - INFO - Epoch(train) [86][2200/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:19:41 time: 0.2507 data_time: 0.0240 memory: 2049 grad_norm: 3.7842 loss: 4.3360 loss_cls: 2.7791 loss_bbox: 1.5570 2024/10/27 09:04:46 - mmengine - INFO - Epoch(train) [86][2250/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:19:29 time: 0.2545 data_time: 0.0281 memory: 2049 grad_norm: 3.5919 loss: 4.2565 loss_cls: 2.7622 loss_bbox: 1.4943 2024/10/27 09:04:59 - mmengine - INFO - Epoch(train) [86][2300/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:19:16 time: 0.2597 data_time: 0.0320 memory: 2049 grad_norm: 3.9277 loss: 4.3014 loss_cls: 2.8134 loss_bbox: 1.4880 2024/10/27 09:05:11 - mmengine - INFO - Epoch(train) [86][2350/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:19:03 time: 0.2353 data_time: 0.0234 memory: 2049 grad_norm: 4.0108 loss: 4.2659 loss_cls: 2.7774 loss_bbox: 1.4885 2024/10/27 09:05:23 - mmengine - INFO - Epoch(train) [86][2400/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:18:50 time: 0.2474 data_time: 0.0237 memory: 2049 grad_norm: 3.7945 loss: 4.3770 loss_cls: 2.8461 loss_bbox: 1.5309 2024/10/27 09:05:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:05:36 - mmengine - INFO - Epoch(train) [86][2450/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:18:38 time: 0.2490 data_time: 0.0285 memory: 2049 grad_norm: 3.8440 loss: 4.4435 loss_cls: 2.8867 loss_bbox: 1.5568 2024/10/27 09:05:48 - mmengine - INFO - Epoch(train) [86][2500/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:18:25 time: 0.2508 data_time: 0.0295 memory: 2049 grad_norm: 4.0068 loss: 4.3334 loss_cls: 2.8501 loss_bbox: 1.4833 2024/10/27 09:06:01 - mmengine - INFO - Epoch(train) [86][2550/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:18:13 time: 0.2513 data_time: 0.0235 memory: 2049 grad_norm: 3.7854 loss: 4.3524 loss_cls: 2.7890 loss_bbox: 1.5634 2024/10/27 09:06:13 - mmengine - INFO - Epoch(train) [86][2600/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:18:00 time: 0.2350 data_time: 0.0247 memory: 2049 grad_norm: 3.6392 loss: 4.2988 loss_cls: 2.7891 loss_bbox: 1.5097 2024/10/27 09:06:25 - mmengine - INFO - Epoch(train) [86][2650/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:17:47 time: 0.2536 data_time: 0.0326 memory: 2049 grad_norm: 3.9831 loss: 4.3668 loss_cls: 2.8284 loss_bbox: 1.5384 2024/10/27 09:06:38 - mmengine - INFO - Epoch(train) [86][2700/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:17:34 time: 0.2480 data_time: 0.0240 memory: 2049 grad_norm: 3.9554 loss: 4.2842 loss_cls: 2.7807 loss_bbox: 1.5035 2024/10/27 09:06:50 - mmengine - INFO - Epoch(train) [86][2750/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:17:22 time: 0.2506 data_time: 0.0259 memory: 2049 grad_norm: 3.8129 loss: 4.3107 loss_cls: 2.8081 loss_bbox: 1.5026 2024/10/27 09:07:03 - mmengine - INFO - Epoch(train) [86][2800/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:17:09 time: 0.2477 data_time: 0.0229 memory: 2049 grad_norm: 4.0079 loss: 4.2888 loss_cls: 2.7721 loss_bbox: 1.5167 2024/10/27 09:07:17 - mmengine - INFO - Epoch(train) [86][2850/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:16:57 time: 0.2950 data_time: 0.0822 memory: 2049 grad_norm: 3.8040 loss: 4.2639 loss_cls: 2.7818 loss_bbox: 1.4821 2024/10/27 09:07:30 - mmengine - INFO - Epoch(train) [86][2900/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:16:45 time: 0.2555 data_time: 0.0293 memory: 2049 grad_norm: 3.7704 loss: 4.2167 loss_cls: 2.7818 loss_bbox: 1.4349 2024/10/27 09:07:43 - mmengine - INFO - Epoch(train) [86][2950/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:16:32 time: 0.2506 data_time: 0.0248 memory: 2049 grad_norm: 3.8582 loss: 4.3593 loss_cls: 2.8180 loss_bbox: 1.5413 2024/10/27 09:07:55 - mmengine - INFO - Epoch(train) [86][3000/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:16:20 time: 0.2487 data_time: 0.0236 memory: 2049 grad_norm: 3.6558 loss: 4.2845 loss_cls: 2.7893 loss_bbox: 1.4952 2024/10/27 09:08:08 - mmengine - INFO - Epoch(train) [86][3050/3054] base_lr: 1.5106e-03 lr: 1.5106e-03 eta: 7:16:07 time: 0.2624 data_time: 0.0253 memory: 2049 grad_norm: 4.2121 loss: 4.4844 loss_cls: 2.9237 loss_bbox: 1.5607 2024/10/27 09:08:09 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:08:09 - mmengine - INFO - Saving checkpoint at 86 epochs 2024/10/27 09:08:23 - mmengine - INFO - Epoch(train) [87][ 50/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:15:53 time: 0.2346 data_time: 0.0332 memory: 2049 grad_norm: 3.6202 loss: 4.2729 loss_cls: 2.7982 loss_bbox: 1.4746 2024/10/27 09:08:36 - mmengine - INFO - Epoch(train) [87][ 100/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:15:40 time: 0.2434 data_time: 0.0239 memory: 2049 grad_norm: 3.6637 loss: 4.2366 loss_cls: 2.7503 loss_bbox: 1.4864 2024/10/27 09:08:48 - mmengine - INFO - Epoch(train) [87][ 150/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:15:28 time: 0.2497 data_time: 0.0310 memory: 2049 grad_norm: 3.8010 loss: 4.3235 loss_cls: 2.7935 loss_bbox: 1.5299 2024/10/27 09:09:00 - mmengine - INFO - Epoch(train) [87][ 200/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:15:15 time: 0.2429 data_time: 0.0232 memory: 2049 grad_norm: 4.0534 loss: 4.2528 loss_cls: 2.7755 loss_bbox: 1.4774 2024/10/27 09:09:12 - mmengine - INFO - Epoch(train) [87][ 250/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:15:02 time: 0.2379 data_time: 0.0221 memory: 2049 grad_norm: 3.5616 loss: 4.2581 loss_cls: 2.7843 loss_bbox: 1.4738 2024/10/27 09:09:24 - mmengine - INFO - Epoch(train) [87][ 300/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:14:49 time: 0.2371 data_time: 0.0225 memory: 2049 grad_norm: 3.7429 loss: 4.3154 loss_cls: 2.8295 loss_bbox: 1.4859 2024/10/27 09:09:36 - mmengine - INFO - Epoch(train) [87][ 350/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:14:36 time: 0.2458 data_time: 0.0291 memory: 2049 grad_norm: 3.8016 loss: 4.2597 loss_cls: 2.7403 loss_bbox: 1.5194 2024/10/27 09:09:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:09:49 - mmengine - INFO - Epoch(train) [87][ 400/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:14:23 time: 0.2475 data_time: 0.0239 memory: 2049 grad_norm: 3.8695 loss: 4.2757 loss_cls: 2.7961 loss_bbox: 1.4796 2024/10/27 09:10:01 - mmengine - INFO - Epoch(train) [87][ 450/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:14:11 time: 0.2470 data_time: 0.0228 memory: 2049 grad_norm: 3.7295 loss: 4.2819 loss_cls: 2.7730 loss_bbox: 1.5089 2024/10/27 09:10:14 - mmengine - INFO - Epoch(train) [87][ 500/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:13:58 time: 0.2502 data_time: 0.0232 memory: 2049 grad_norm: 3.6908 loss: 4.3026 loss_cls: 2.8179 loss_bbox: 1.4846 2024/10/27 09:10:25 - mmengine - INFO - Epoch(train) [87][ 550/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:13:45 time: 0.2390 data_time: 0.0228 memory: 2049 grad_norm: 4.1447 loss: 4.3122 loss_cls: 2.7756 loss_bbox: 1.5366 2024/10/27 09:10:38 - mmengine - INFO - Epoch(train) [87][ 600/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:13:33 time: 0.2535 data_time: 0.0291 memory: 2049 grad_norm: 3.3900 loss: 4.4184 loss_cls: 2.8325 loss_bbox: 1.5859 2024/10/27 09:10:51 - mmengine - INFO - Epoch(train) [87][ 650/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:13:20 time: 0.2513 data_time: 0.0246 memory: 2049 grad_norm: 3.8759 loss: 4.2563 loss_cls: 2.7931 loss_bbox: 1.4632 2024/10/27 09:11:03 - mmengine - INFO - Epoch(train) [87][ 700/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:13:07 time: 0.2494 data_time: 0.0269 memory: 2049 grad_norm: 4.0750 loss: 4.2219 loss_cls: 2.7476 loss_bbox: 1.4744 2024/10/27 09:11:17 - mmengine - INFO - Epoch(train) [87][ 750/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:12:55 time: 0.2731 data_time: 0.0549 memory: 2049 grad_norm: 3.6939 loss: 4.2388 loss_cls: 2.7682 loss_bbox: 1.4706 2024/10/27 09:11:29 - mmengine - INFO - Epoch(train) [87][ 800/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:12:42 time: 0.2327 data_time: 0.0254 memory: 2049 grad_norm: 3.8593 loss: 4.3775 loss_cls: 2.8285 loss_bbox: 1.5490 2024/10/27 09:11:41 - mmengine - INFO - Epoch(train) [87][ 850/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:12:29 time: 0.2464 data_time: 0.0255 memory: 2049 grad_norm: 3.6730 loss: 4.4265 loss_cls: 2.8543 loss_bbox: 1.5722 2024/10/27 09:11:53 - mmengine - INFO - Epoch(train) [87][ 900/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:12:17 time: 0.2401 data_time: 0.0269 memory: 2049 grad_norm: 3.5897 loss: 4.1912 loss_cls: 2.7474 loss_bbox: 1.4437 2024/10/27 09:12:05 - mmengine - INFO - Epoch(train) [87][ 950/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:12:04 time: 0.2439 data_time: 0.0296 memory: 2049 grad_norm: 4.0920 loss: 4.2696 loss_cls: 2.7612 loss_bbox: 1.5084 2024/10/27 09:12:17 - mmengine - INFO - Epoch(train) [87][1000/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:11:51 time: 0.2452 data_time: 0.0262 memory: 2049 grad_norm: 3.6237 loss: 4.2776 loss_cls: 2.7677 loss_bbox: 1.5098 2024/10/27 09:12:29 - mmengine - INFO - Epoch(train) [87][1050/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:11:38 time: 0.2377 data_time: 0.0255 memory: 2049 grad_norm: 3.8458 loss: 4.2834 loss_cls: 2.7934 loss_bbox: 1.4900 2024/10/27 09:12:42 - mmengine - INFO - Epoch(train) [87][1100/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:11:26 time: 0.2561 data_time: 0.0278 memory: 2049 grad_norm: 3.8790 loss: 4.2945 loss_cls: 2.8120 loss_bbox: 1.4824 2024/10/27 09:12:54 - mmengine - INFO - Epoch(train) [87][1150/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:11:13 time: 0.2408 data_time: 0.0238 memory: 2049 grad_norm: 3.8161 loss: 4.2953 loss_cls: 2.7865 loss_bbox: 1.5087 2024/10/27 09:13:06 - mmengine - INFO - Epoch(train) [87][1200/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:11:00 time: 0.2408 data_time: 0.0303 memory: 2049 grad_norm: 4.1283 loss: 4.2288 loss_cls: 2.7531 loss_bbox: 1.4757 2024/10/27 09:13:18 - mmengine - INFO - Epoch(train) [87][1250/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:10:47 time: 0.2445 data_time: 0.0250 memory: 2049 grad_norm: 3.9658 loss: 4.3712 loss_cls: 2.8282 loss_bbox: 1.5430 2024/10/27 09:13:31 - mmengine - INFO - Epoch(train) [87][1300/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:10:34 time: 0.2454 data_time: 0.0254 memory: 2049 grad_norm: 3.9455 loss: 4.3797 loss_cls: 2.8316 loss_bbox: 1.5481 2024/10/27 09:13:43 - mmengine - INFO - Epoch(train) [87][1350/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:10:22 time: 0.2557 data_time: 0.0275 memory: 2049 grad_norm: 3.9086 loss: 4.1804 loss_cls: 2.7269 loss_bbox: 1.4535 2024/10/27 09:13:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:13:56 - mmengine - INFO - Epoch(train) [87][1400/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:10:09 time: 0.2438 data_time: 0.0246 memory: 2049 grad_norm: 3.8913 loss: 4.2539 loss_cls: 2.7597 loss_bbox: 1.4942 2024/10/27 09:14:09 - mmengine - INFO - Epoch(train) [87][1450/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:09:57 time: 0.2572 data_time: 0.0280 memory: 2049 grad_norm: 3.8273 loss: 4.2995 loss_cls: 2.7797 loss_bbox: 1.5198 2024/10/27 09:14:21 - mmengine - INFO - Epoch(train) [87][1500/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:09:44 time: 0.2518 data_time: 0.0244 memory: 2049 grad_norm: 3.8557 loss: 4.3313 loss_cls: 2.7940 loss_bbox: 1.5373 2024/10/27 09:14:34 - mmengine - INFO - Epoch(train) [87][1550/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:09:31 time: 0.2492 data_time: 0.0249 memory: 2049 grad_norm: 3.6378 loss: 4.1469 loss_cls: 2.7089 loss_bbox: 1.4380 2024/10/27 09:14:47 - mmengine - INFO - Epoch(train) [87][1600/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:09:19 time: 0.2689 data_time: 0.0247 memory: 2049 grad_norm: 3.7106 loss: 4.3585 loss_cls: 2.8511 loss_bbox: 1.5074 2024/10/27 09:15:00 - mmengine - INFO - Epoch(train) [87][1650/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:09:06 time: 0.2489 data_time: 0.0245 memory: 2049 grad_norm: 3.6503 loss: 4.2127 loss_cls: 2.7357 loss_bbox: 1.4770 2024/10/27 09:15:13 - mmengine - INFO - Epoch(train) [87][1700/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:08:54 time: 0.2734 data_time: 0.0394 memory: 2049 grad_norm: 4.2733 loss: 4.3246 loss_cls: 2.7616 loss_bbox: 1.5630 2024/10/27 09:15:26 - mmengine - INFO - Epoch(train) [87][1750/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:08:42 time: 0.2614 data_time: 0.0262 memory: 2049 grad_norm: 3.5963 loss: 4.3348 loss_cls: 2.7957 loss_bbox: 1.5391 2024/10/27 09:15:40 - mmengine - INFO - Epoch(train) [87][1800/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:08:30 time: 0.2650 data_time: 0.0236 memory: 2049 grad_norm: 3.8674 loss: 4.1986 loss_cls: 2.7427 loss_bbox: 1.4559 2024/10/27 09:15:53 - mmengine - INFO - Epoch(train) [87][1850/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:08:17 time: 0.2631 data_time: 0.0330 memory: 2049 grad_norm: 4.2746 loss: 4.4738 loss_cls: 2.8983 loss_bbox: 1.5754 2024/10/27 09:16:06 - mmengine - INFO - Epoch(train) [87][1900/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:08:05 time: 0.2580 data_time: 0.0251 memory: 2049 grad_norm: 3.8667 loss: 4.2278 loss_cls: 2.7453 loss_bbox: 1.4825 2024/10/27 09:16:18 - mmengine - INFO - Epoch(train) [87][1950/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:07:52 time: 0.2549 data_time: 0.0251 memory: 2049 grad_norm: 3.9707 loss: 4.2068 loss_cls: 2.7648 loss_bbox: 1.4420 2024/10/27 09:16:32 - mmengine - INFO - Epoch(train) [87][2000/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:07:40 time: 0.2631 data_time: 0.0250 memory: 2049 grad_norm: 3.6225 loss: 4.2748 loss_cls: 2.7912 loss_bbox: 1.4836 2024/10/27 09:16:45 - mmengine - INFO - Epoch(train) [87][2050/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:07:28 time: 0.2627 data_time: 0.0337 memory: 2049 grad_norm: 3.9170 loss: 4.3062 loss_cls: 2.7859 loss_bbox: 1.5202 2024/10/27 09:16:58 - mmengine - INFO - Epoch(train) [87][2100/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:07:15 time: 0.2599 data_time: 0.0326 memory: 2049 grad_norm: 4.1069 loss: 4.2026 loss_cls: 2.7356 loss_bbox: 1.4670 2024/10/27 09:17:11 - mmengine - INFO - Epoch(train) [87][2150/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:07:03 time: 0.2569 data_time: 0.0272 memory: 2049 grad_norm: 3.8986 loss: 4.2891 loss_cls: 2.7719 loss_bbox: 1.5172 2024/10/27 09:17:24 - mmengine - INFO - Epoch(train) [87][2200/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:06:50 time: 0.2601 data_time: 0.0257 memory: 2049 grad_norm: 3.9924 loss: 4.3625 loss_cls: 2.8325 loss_bbox: 1.5300 2024/10/27 09:17:37 - mmengine - INFO - Epoch(train) [87][2250/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:06:38 time: 0.2559 data_time: 0.0251 memory: 2049 grad_norm: 3.7146 loss: 4.2418 loss_cls: 2.7436 loss_bbox: 1.4982 2024/10/27 09:17:49 - mmengine - INFO - Epoch(train) [87][2300/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:06:25 time: 0.2577 data_time: 0.0248 memory: 2049 grad_norm: 3.8569 loss: 4.3305 loss_cls: 2.7910 loss_bbox: 1.5394 2024/10/27 09:18:02 - mmengine - INFO - Epoch(train) [87][2350/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:06:13 time: 0.2543 data_time: 0.0260 memory: 2049 grad_norm: 3.6318 loss: 4.3549 loss_cls: 2.8245 loss_bbox: 1.5305 2024/10/27 09:18:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:18:18 - mmengine - INFO - Epoch(train) [87][2400/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:06:02 time: 0.3083 data_time: 0.0796 memory: 2049 grad_norm: 3.7306 loss: 4.3500 loss_cls: 2.8355 loss_bbox: 1.5145 2024/10/27 09:18:30 - mmengine - INFO - Epoch(train) [87][2450/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:05:49 time: 0.2449 data_time: 0.0260 memory: 2049 grad_norm: 3.9860 loss: 4.3346 loss_cls: 2.8110 loss_bbox: 1.5235 2024/10/27 09:18:43 - mmengine - INFO - Epoch(train) [87][2500/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:05:37 time: 0.2621 data_time: 0.0335 memory: 2049 grad_norm: 3.8279 loss: 4.4213 loss_cls: 2.8401 loss_bbox: 1.5812 2024/10/27 09:18:56 - mmengine - INFO - Epoch(train) [87][2550/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:05:24 time: 0.2542 data_time: 0.0258 memory: 2049 grad_norm: 3.5854 loss: 4.2867 loss_cls: 2.7696 loss_bbox: 1.5171 2024/10/27 09:19:08 - mmengine - INFO - Epoch(train) [87][2600/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:05:11 time: 0.2514 data_time: 0.0323 memory: 2049 grad_norm: 3.8295 loss: 4.3797 loss_cls: 2.8200 loss_bbox: 1.5597 2024/10/27 09:19:21 - mmengine - INFO - Epoch(train) [87][2650/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:04:59 time: 0.2513 data_time: 0.0285 memory: 2049 grad_norm: 3.9563 loss: 4.3255 loss_cls: 2.7988 loss_bbox: 1.5267 2024/10/27 09:19:33 - mmengine - INFO - Epoch(train) [87][2700/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:04:46 time: 0.2435 data_time: 0.0246 memory: 2049 grad_norm: 4.0191 loss: 4.2036 loss_cls: 2.7224 loss_bbox: 1.4811 2024/10/27 09:19:46 - mmengine - INFO - Epoch(train) [87][2750/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:04:34 time: 0.2622 data_time: 0.0281 memory: 2049 grad_norm: 3.9874 loss: 4.2851 loss_cls: 2.7680 loss_bbox: 1.5171 2024/10/27 09:19:59 - mmengine - INFO - Epoch(train) [87][2800/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:04:21 time: 0.2589 data_time: 0.0277 memory: 2049 grad_norm: 3.8328 loss: 4.2328 loss_cls: 2.7739 loss_bbox: 1.4589 2024/10/27 09:20:12 - mmengine - INFO - Epoch(train) [87][2850/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:04:08 time: 0.2478 data_time: 0.0260 memory: 2049 grad_norm: 4.0087 loss: 4.3935 loss_cls: 2.8596 loss_bbox: 1.5339 2024/10/27 09:20:24 - mmengine - INFO - Epoch(train) [87][2900/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:03:56 time: 0.2578 data_time: 0.0243 memory: 2049 grad_norm: 3.8477 loss: 4.3238 loss_cls: 2.8145 loss_bbox: 1.5093 2024/10/27 09:20:37 - mmengine - INFO - Epoch(train) [87][2950/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:03:43 time: 0.2492 data_time: 0.0242 memory: 2049 grad_norm: 3.9146 loss: 4.3370 loss_cls: 2.8149 loss_bbox: 1.5221 2024/10/27 09:20:50 - mmengine - INFO - Epoch(train) [87][3000/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:03:31 time: 0.2528 data_time: 0.0253 memory: 2049 grad_norm: 3.9165 loss: 4.4087 loss_cls: 2.8686 loss_bbox: 1.5401 2024/10/27 09:21:03 - mmengine - INFO - Epoch(train) [87][3050/3054] base_lr: 1.4495e-03 lr: 1.4495e-03 eta: 7:03:18 time: 0.2654 data_time: 0.0351 memory: 2049 grad_norm: 4.1560 loss: 4.2962 loss_cls: 2.8293 loss_bbox: 1.4668 2024/10/27 09:21:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:21:06 - mmengine - INFO - Saving checkpoint at 87 epochs 2024/10/27 09:21:21 - mmengine - INFO - Epoch(train) [88][ 50/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:03:06 time: 0.2436 data_time: 0.0440 memory: 2049 grad_norm: 3.9542 loss: 4.2474 loss_cls: 2.7711 loss_bbox: 1.4763 2024/10/27 09:21:34 - mmengine - INFO - Epoch(train) [88][ 100/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:02:53 time: 0.2480 data_time: 0.0245 memory: 2049 grad_norm: 3.8352 loss: 4.3007 loss_cls: 2.7876 loss_bbox: 1.5131 2024/10/27 09:21:46 - mmengine - INFO - Epoch(train) [88][ 150/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:02:40 time: 0.2362 data_time: 0.0242 memory: 2049 grad_norm: 3.6268 loss: 4.2517 loss_cls: 2.7598 loss_bbox: 1.4920 2024/10/27 09:21:58 - mmengine - INFO - Epoch(train) [88][ 200/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:02:27 time: 0.2483 data_time: 0.0256 memory: 2049 grad_norm: 3.8737 loss: 4.3001 loss_cls: 2.8057 loss_bbox: 1.4944 2024/10/27 09:22:11 - mmengine - INFO - Epoch(train) [88][ 250/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:02:15 time: 0.2560 data_time: 0.0275 memory: 2049 grad_norm: 3.6743 loss: 4.3720 loss_cls: 2.7886 loss_bbox: 1.5834 2024/10/27 09:22:23 - mmengine - INFO - Epoch(train) [88][ 300/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:02:02 time: 0.2462 data_time: 0.0330 memory: 2049 grad_norm: 4.0315 loss: 4.1884 loss_cls: 2.7187 loss_bbox: 1.4697 2024/10/27 09:22:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:22:36 - mmengine - INFO - Epoch(train) [88][ 350/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:01:50 time: 0.2604 data_time: 0.0259 memory: 2049 grad_norm: 3.7648 loss: 4.2369 loss_cls: 2.7528 loss_bbox: 1.4842 2024/10/27 09:22:49 - mmengine - INFO - Epoch(train) [88][ 400/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:01:37 time: 0.2500 data_time: 0.0233 memory: 2049 grad_norm: 3.9078 loss: 4.2869 loss_cls: 2.7986 loss_bbox: 1.4883 2024/10/27 09:23:01 - mmengine - INFO - Epoch(train) [88][ 450/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:01:24 time: 0.2504 data_time: 0.0270 memory: 2049 grad_norm: 3.7716 loss: 4.1952 loss_cls: 2.7191 loss_bbox: 1.4761 2024/10/27 09:23:18 - mmengine - INFO - Epoch(train) [88][ 500/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:01:14 time: 0.3364 data_time: 0.0982 memory: 2049 grad_norm: 3.9460 loss: 4.3606 loss_cls: 2.8164 loss_bbox: 1.5442 2024/10/27 09:23:30 - mmengine - INFO - Epoch(train) [88][ 550/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:01:01 time: 0.2423 data_time: 0.0261 memory: 2049 grad_norm: 3.3899 loss: 4.3221 loss_cls: 2.7863 loss_bbox: 1.5357 2024/10/27 09:23:43 - mmengine - INFO - Epoch(train) [88][ 600/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:00:48 time: 0.2603 data_time: 0.0243 memory: 2049 grad_norm: 4.2013 loss: 4.2133 loss_cls: 2.7559 loss_bbox: 1.4573 2024/10/27 09:23:56 - mmengine - INFO - Epoch(train) [88][ 650/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:00:36 time: 0.2555 data_time: 0.0283 memory: 2049 grad_norm: 3.6114 loss: 4.2765 loss_cls: 2.8169 loss_bbox: 1.4596 2024/10/27 09:24:09 - mmengine - INFO - Epoch(train) [88][ 700/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:00:23 time: 0.2502 data_time: 0.0230 memory: 2049 grad_norm: 4.0149 loss: 4.1825 loss_cls: 2.7212 loss_bbox: 1.4613 2024/10/27 09:24:22 - mmengine - INFO - Epoch(train) [88][ 750/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 7:00:11 time: 0.2600 data_time: 0.0228 memory: 2049 grad_norm: 4.0020 loss: 4.4012 loss_cls: 2.8232 loss_bbox: 1.5780 2024/10/27 09:24:34 - mmengine - INFO - Epoch(train) [88][ 800/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:59:58 time: 0.2572 data_time: 0.0235 memory: 2049 grad_norm: 3.9395 loss: 4.2957 loss_cls: 2.7654 loss_bbox: 1.5303 2024/10/27 09:24:46 - mmengine - INFO - Epoch(train) [88][ 850/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:59:45 time: 0.2392 data_time: 0.0257 memory: 2049 grad_norm: 4.0985 loss: 4.3046 loss_cls: 2.7638 loss_bbox: 1.5407 2024/10/27 09:25:00 - mmengine - INFO - Epoch(train) [88][ 900/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:59:33 time: 0.2656 data_time: 0.0314 memory: 2049 grad_norm: 4.0945 loss: 4.3904 loss_cls: 2.8155 loss_bbox: 1.5749 2024/10/27 09:25:12 - mmengine - INFO - Epoch(train) [88][ 950/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:59:21 time: 0.2514 data_time: 0.0248 memory: 2049 grad_norm: 3.7467 loss: 4.2006 loss_cls: 2.7564 loss_bbox: 1.4442 2024/10/27 09:25:25 - mmengine - INFO - Epoch(train) [88][1000/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:59:08 time: 0.2498 data_time: 0.0238 memory: 2049 grad_norm: 3.7315 loss: 4.3077 loss_cls: 2.7802 loss_bbox: 1.5274 2024/10/27 09:25:38 - mmengine - INFO - Epoch(train) [88][1050/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:58:56 time: 0.2607 data_time: 0.0283 memory: 2049 grad_norm: 4.0693 loss: 4.3286 loss_cls: 2.7789 loss_bbox: 1.5497 2024/10/27 09:25:50 - mmengine - INFO - Epoch(train) [88][1100/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:58:43 time: 0.2401 data_time: 0.0274 memory: 2049 grad_norm: 3.6294 loss: 4.3444 loss_cls: 2.7612 loss_bbox: 1.5832 2024/10/27 09:26:03 - mmengine - INFO - Epoch(train) [88][1150/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:58:30 time: 0.2682 data_time: 0.0304 memory: 2049 grad_norm: 4.0375 loss: 4.2853 loss_cls: 2.7835 loss_bbox: 1.5018 2024/10/27 09:26:17 - mmengine - INFO - Epoch(train) [88][1200/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:58:19 time: 0.2848 data_time: 0.0554 memory: 2049 grad_norm: 4.1471 loss: 4.2159 loss_cls: 2.7444 loss_bbox: 1.4715 2024/10/27 09:26:30 - mmengine - INFO - Epoch(train) [88][1250/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:58:06 time: 0.2536 data_time: 0.0245 memory: 2049 grad_norm: 4.0463 loss: 4.3470 loss_cls: 2.8087 loss_bbox: 1.5382 2024/10/27 09:26:44 - mmengine - INFO - Epoch(train) [88][1300/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:57:54 time: 0.2696 data_time: 0.0242 memory: 2049 grad_norm: 3.9995 loss: 4.2348 loss_cls: 2.7551 loss_bbox: 1.4796 2024/10/27 09:26:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:26:56 - mmengine - INFO - Epoch(train) [88][1350/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:57:41 time: 0.2441 data_time: 0.0264 memory: 2049 grad_norm: 3.7217 loss: 4.2725 loss_cls: 2.7639 loss_bbox: 1.5087 2024/10/27 09:27:08 - mmengine - INFO - Epoch(train) [88][1400/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:57:28 time: 0.2515 data_time: 0.0246 memory: 2049 grad_norm: 3.7825 loss: 4.2989 loss_cls: 2.8066 loss_bbox: 1.4923 2024/10/27 09:27:21 - mmengine - INFO - Epoch(train) [88][1450/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:57:16 time: 0.2547 data_time: 0.0258 memory: 2049 grad_norm: 3.8749 loss: 4.1779 loss_cls: 2.7105 loss_bbox: 1.4673 2024/10/27 09:27:34 - mmengine - INFO - Epoch(train) [88][1500/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:57:03 time: 0.2483 data_time: 0.0262 memory: 2049 grad_norm: 3.8747 loss: 4.2710 loss_cls: 2.7732 loss_bbox: 1.4978 2024/10/27 09:27:46 - mmengine - INFO - Epoch(train) [88][1550/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:56:51 time: 0.2551 data_time: 0.0238 memory: 2049 grad_norm: 4.0431 loss: 4.3434 loss_cls: 2.8126 loss_bbox: 1.5308 2024/10/27 09:27:58 - mmengine - INFO - Epoch(train) [88][1600/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:56:38 time: 0.2410 data_time: 0.0233 memory: 2049 grad_norm: 4.2214 loss: 4.2236 loss_cls: 2.7202 loss_bbox: 1.5034 2024/10/27 09:28:11 - mmengine - INFO - Epoch(train) [88][1650/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:56:25 time: 0.2508 data_time: 0.0234 memory: 2049 grad_norm: 3.6219 loss: 4.2749 loss_cls: 2.7734 loss_bbox: 1.5015 2024/10/27 09:28:24 - mmengine - INFO - Epoch(train) [88][1700/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:56:13 time: 0.2514 data_time: 0.0238 memory: 2049 grad_norm: 3.9821 loss: 4.2408 loss_cls: 2.7951 loss_bbox: 1.4457 2024/10/27 09:28:36 - mmengine - INFO - Epoch(train) [88][1750/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:56:00 time: 0.2471 data_time: 0.0258 memory: 2049 grad_norm: 3.7130 loss: 4.3187 loss_cls: 2.8056 loss_bbox: 1.5131 2024/10/27 09:28:48 - mmengine - INFO - Epoch(train) [88][1800/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:55:47 time: 0.2458 data_time: 0.0241 memory: 2049 grad_norm: 3.5753 loss: 4.2258 loss_cls: 2.7523 loss_bbox: 1.4736 2024/10/27 09:29:01 - mmengine - INFO - Epoch(train) [88][1850/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:55:34 time: 0.2479 data_time: 0.0242 memory: 2049 grad_norm: 4.0717 loss: 4.3903 loss_cls: 2.8369 loss_bbox: 1.5534 2024/10/27 09:29:13 - mmengine - INFO - Epoch(train) [88][1900/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:55:22 time: 0.2548 data_time: 0.0234 memory: 2049 grad_norm: 4.2468 loss: 4.3340 loss_cls: 2.7741 loss_bbox: 1.5599 2024/10/27 09:29:26 - mmengine - INFO - Epoch(train) [88][1950/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:55:09 time: 0.2535 data_time: 0.0267 memory: 2049 grad_norm: 3.8500 loss: 4.3112 loss_cls: 2.8117 loss_bbox: 1.4996 2024/10/27 09:29:38 - mmengine - INFO - Epoch(train) [88][2000/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:54:56 time: 0.2380 data_time: 0.0241 memory: 2049 grad_norm: 4.0265 loss: 4.1819 loss_cls: 2.7178 loss_bbox: 1.4641 2024/10/27 09:29:51 - mmengine - INFO - Epoch(train) [88][2050/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:54:44 time: 0.2528 data_time: 0.0287 memory: 2049 grad_norm: 3.9622 loss: 4.1830 loss_cls: 2.7174 loss_bbox: 1.4656 2024/10/27 09:30:03 - mmengine - INFO - Epoch(train) [88][2100/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:54:31 time: 0.2419 data_time: 0.0241 memory: 2049 grad_norm: 3.9186 loss: 4.2489 loss_cls: 2.7810 loss_bbox: 1.4679 2024/10/27 09:30:18 - mmengine - INFO - Epoch(train) [88][2150/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:54:19 time: 0.2966 data_time: 0.0766 memory: 2049 grad_norm: 3.8028 loss: 4.2697 loss_cls: 2.7634 loss_bbox: 1.5063 2024/10/27 09:30:30 - mmengine - INFO - Epoch(train) [88][2200/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:54:07 time: 0.2507 data_time: 0.0239 memory: 2049 grad_norm: 3.8875 loss: 4.2264 loss_cls: 2.7864 loss_bbox: 1.4401 2024/10/27 09:30:42 - mmengine - INFO - Epoch(train) [88][2250/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:53:54 time: 0.2371 data_time: 0.0256 memory: 2049 grad_norm: 4.1687 loss: 4.3645 loss_cls: 2.8213 loss_bbox: 1.5432 2024/10/27 09:30:55 - mmengine - INFO - Epoch(train) [88][2300/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:53:41 time: 0.2525 data_time: 0.0272 memory: 2049 grad_norm: 4.0435 loss: 4.1196 loss_cls: 2.6951 loss_bbox: 1.4245 2024/10/27 09:30:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:31:08 - mmengine - INFO - Epoch(train) [88][2350/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:53:29 time: 0.2583 data_time: 0.0281 memory: 2049 grad_norm: 3.9733 loss: 4.2522 loss_cls: 2.7955 loss_bbox: 1.4568 2024/10/27 09:31:21 - mmengine - INFO - Epoch(train) [88][2400/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:53:17 time: 0.2682 data_time: 0.0264 memory: 2049 grad_norm: 3.8386 loss: 4.2103 loss_cls: 2.7283 loss_bbox: 1.4821 2024/10/27 09:31:33 - mmengine - INFO - Epoch(train) [88][2450/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:53:04 time: 0.2482 data_time: 0.0259 memory: 2049 grad_norm: 4.0457 loss: 4.3427 loss_cls: 2.7980 loss_bbox: 1.5448 2024/10/27 09:31:46 - mmengine - INFO - Epoch(train) [88][2500/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:52:51 time: 0.2580 data_time: 0.0246 memory: 2049 grad_norm: 3.7333 loss: 4.2166 loss_cls: 2.7497 loss_bbox: 1.4669 2024/10/27 09:31:59 - mmengine - INFO - Epoch(train) [88][2550/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:52:39 time: 0.2619 data_time: 0.0276 memory: 2049 grad_norm: 4.2262 loss: 4.2981 loss_cls: 2.7793 loss_bbox: 1.5188 2024/10/27 09:32:12 - mmengine - INFO - Epoch(train) [88][2600/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:52:26 time: 0.2407 data_time: 0.0212 memory: 2049 grad_norm: 3.7850 loss: 4.2592 loss_cls: 2.7588 loss_bbox: 1.5004 2024/10/27 09:32:25 - mmengine - INFO - Epoch(train) [88][2650/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:52:14 time: 0.2703 data_time: 0.0211 memory: 2049 grad_norm: 4.1309 loss: 4.2139 loss_cls: 2.7568 loss_bbox: 1.4571 2024/10/27 09:32:38 - mmengine - INFO - Epoch(train) [88][2700/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:52:01 time: 0.2544 data_time: 0.0234 memory: 2049 grad_norm: 3.7694 loss: 4.2636 loss_cls: 2.7848 loss_bbox: 1.4788 2024/10/27 09:32:51 - mmengine - INFO - Epoch(train) [88][2750/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:51:49 time: 0.2550 data_time: 0.0212 memory: 2049 grad_norm: 3.6181 loss: 4.3109 loss_cls: 2.7677 loss_bbox: 1.5432 2024/10/27 09:33:04 - mmengine - INFO - Epoch(train) [88][2800/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:51:36 time: 0.2628 data_time: 0.0285 memory: 2049 grad_norm: 3.9159 loss: 4.3477 loss_cls: 2.8291 loss_bbox: 1.5186 2024/10/27 09:33:18 - mmengine - INFO - Epoch(train) [88][2850/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:51:25 time: 0.2852 data_time: 0.0641 memory: 2049 grad_norm: 4.0007 loss: 4.4102 loss_cls: 2.8250 loss_bbox: 1.5852 2024/10/27 09:33:32 - mmengine - INFO - Epoch(train) [88][2900/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:51:13 time: 0.2786 data_time: 0.0225 memory: 2049 grad_norm: 3.9233 loss: 4.3358 loss_cls: 2.8313 loss_bbox: 1.5045 2024/10/27 09:33:44 - mmengine - INFO - Epoch(train) [88][2950/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:51:00 time: 0.2358 data_time: 0.0229 memory: 2049 grad_norm: 3.9069 loss: 4.3131 loss_cls: 2.7802 loss_bbox: 1.5329 2024/10/27 09:33:57 - mmengine - INFO - Epoch(train) [88][3000/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:50:47 time: 0.2574 data_time: 0.0216 memory: 2049 grad_norm: 3.6603 loss: 4.3296 loss_cls: 2.7955 loss_bbox: 1.5341 2024/10/27 09:34:10 - mmengine - INFO - Epoch(train) [88][3050/3054] base_lr: 1.3877e-03 lr: 1.3877e-03 eta: 6:50:35 time: 0.2615 data_time: 0.0214 memory: 2049 grad_norm: 4.4399 loss: 4.3713 loss_cls: 2.8219 loss_bbox: 1.5494 2024/10/27 09:34:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:34:10 - mmengine - INFO - Saving checkpoint at 88 epochs 2024/10/27 09:34:25 - mmengine - INFO - Epoch(train) [89][ 50/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:50:21 time: 0.2451 data_time: 0.0317 memory: 2049 grad_norm: 3.8020 loss: 4.2177 loss_cls: 2.7288 loss_bbox: 1.4889 2024/10/27 09:34:38 - mmengine - INFO - Epoch(train) [89][ 100/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:50:08 time: 0.2533 data_time: 0.0317 memory: 2049 grad_norm: 3.6192 loss: 4.2617 loss_cls: 2.7655 loss_bbox: 1.4961 2024/10/27 09:34:50 - mmengine - INFO - Epoch(train) [89][ 150/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:49:56 time: 0.2487 data_time: 0.0199 memory: 2049 grad_norm: 3.9928 loss: 4.2793 loss_cls: 2.7778 loss_bbox: 1.5015 2024/10/27 09:35:03 - mmengine - INFO - Epoch(train) [89][ 200/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:49:43 time: 0.2534 data_time: 0.0200 memory: 2049 grad_norm: 4.6375 loss: 4.1809 loss_cls: 2.7297 loss_bbox: 1.4512 2024/10/27 09:35:19 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:35:19 - mmengine - INFO - Epoch(train) [89][ 250/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:49:32 time: 0.3256 data_time: 0.0751 memory: 2049 grad_norm: 3.8185 loss: 4.3587 loss_cls: 2.7952 loss_bbox: 1.5635 2024/10/27 09:35:31 - mmengine - INFO - Epoch(train) [89][ 300/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:49:20 time: 0.2510 data_time: 0.0289 memory: 2049 grad_norm: 3.7184 loss: 4.2011 loss_cls: 2.7283 loss_bbox: 1.4729 2024/10/27 09:35:44 - mmengine - INFO - Epoch(train) [89][ 350/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:49:07 time: 0.2503 data_time: 0.0228 memory: 2049 grad_norm: 3.6879 loss: 4.3050 loss_cls: 2.7708 loss_bbox: 1.5342 2024/10/27 09:35:56 - mmengine - INFO - Epoch(train) [89][ 400/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:48:54 time: 0.2456 data_time: 0.0244 memory: 2049 grad_norm: 3.7656 loss: 4.3099 loss_cls: 2.8364 loss_bbox: 1.4736 2024/10/27 09:36:09 - mmengine - INFO - Epoch(train) [89][ 450/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:48:42 time: 0.2539 data_time: 0.0292 memory: 2049 grad_norm: 3.6959 loss: 4.3705 loss_cls: 2.8433 loss_bbox: 1.5272 2024/10/27 09:36:22 - mmengine - INFO - Epoch(train) [89][ 500/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:48:29 time: 0.2631 data_time: 0.0227 memory: 2049 grad_norm: 4.1560 loss: 4.1856 loss_cls: 2.7146 loss_bbox: 1.4711 2024/10/27 09:36:35 - mmengine - INFO - Epoch(train) [89][ 550/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:48:17 time: 0.2567 data_time: 0.0249 memory: 2049 grad_norm: 3.8200 loss: 4.4224 loss_cls: 2.8788 loss_bbox: 1.5436 2024/10/27 09:36:48 - mmengine - INFO - Epoch(train) [89][ 600/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:48:04 time: 0.2595 data_time: 0.0218 memory: 2049 grad_norm: 4.2707 loss: 4.2764 loss_cls: 2.7269 loss_bbox: 1.5495 2024/10/27 09:37:00 - mmengine - INFO - Epoch(train) [89][ 650/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:47:52 time: 0.2437 data_time: 0.0228 memory: 2049 grad_norm: 3.8973 loss: 4.2861 loss_cls: 2.7748 loss_bbox: 1.5114 2024/10/27 09:37:13 - mmengine - INFO - Epoch(train) [89][ 700/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:47:39 time: 0.2559 data_time: 0.0257 memory: 2049 grad_norm: 3.8606 loss: 4.2197 loss_cls: 2.7346 loss_bbox: 1.4851 2024/10/27 09:37:25 - mmengine - INFO - Epoch(train) [89][ 750/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:47:26 time: 0.2453 data_time: 0.0216 memory: 2049 grad_norm: 3.7075 loss: 4.2622 loss_cls: 2.7871 loss_bbox: 1.4751 2024/10/27 09:37:37 - mmengine - INFO - Epoch(train) [89][ 800/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:47:13 time: 0.2403 data_time: 0.0221 memory: 2049 grad_norm: 3.8965 loss: 4.2559 loss_cls: 2.7427 loss_bbox: 1.5132 2024/10/27 09:37:51 - mmengine - INFO - Epoch(train) [89][ 850/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:47:01 time: 0.2656 data_time: 0.0267 memory: 2049 grad_norm: 3.5280 loss: 4.1717 loss_cls: 2.7374 loss_bbox: 1.4343 2024/10/27 09:38:04 - mmengine - INFO - Epoch(train) [89][ 900/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:46:49 time: 0.2722 data_time: 0.0259 memory: 2049 grad_norm: 3.8162 loss: 4.2462 loss_cls: 2.7622 loss_bbox: 1.4841 2024/10/27 09:38:20 - mmengine - INFO - Epoch(train) [89][ 950/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:46:38 time: 0.3100 data_time: 0.0672 memory: 2049 grad_norm: 3.9927 loss: 4.2636 loss_cls: 2.7311 loss_bbox: 1.5325 2024/10/27 09:38:32 - mmengine - INFO - Epoch(train) [89][1000/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:46:25 time: 0.2516 data_time: 0.0238 memory: 2049 grad_norm: 4.1380 loss: 4.2465 loss_cls: 2.7450 loss_bbox: 1.5015 2024/10/27 09:38:46 - mmengine - INFO - Epoch(train) [89][1050/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:46:13 time: 0.2662 data_time: 0.0220 memory: 2049 grad_norm: 3.7833 loss: 4.3405 loss_cls: 2.7779 loss_bbox: 1.5626 2024/10/27 09:38:59 - mmengine - INFO - Epoch(train) [89][1100/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:46:00 time: 0.2591 data_time: 0.0211 memory: 2049 grad_norm: 3.9613 loss: 4.2932 loss_cls: 2.7815 loss_bbox: 1.5117 2024/10/27 09:39:11 - mmengine - INFO - Epoch(train) [89][1150/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:45:48 time: 0.2559 data_time: 0.0221 memory: 2049 grad_norm: 4.2301 loss: 4.1713 loss_cls: 2.7227 loss_bbox: 1.4486 2024/10/27 09:39:24 - mmengine - INFO - Epoch(train) [89][1200/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:45:35 time: 0.2560 data_time: 0.0218 memory: 2049 grad_norm: 3.6203 loss: 4.1638 loss_cls: 2.7061 loss_bbox: 1.4578 2024/10/27 09:39:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:39:38 - mmengine - INFO - Epoch(train) [89][1250/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:45:23 time: 0.2716 data_time: 0.0288 memory: 2049 grad_norm: 3.7918 loss: 4.2612 loss_cls: 2.7681 loss_bbox: 1.4932 2024/10/27 09:39:51 - mmengine - INFO - Epoch(train) [89][1300/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:45:11 time: 0.2668 data_time: 0.0239 memory: 2049 grad_norm: 3.8529 loss: 4.2782 loss_cls: 2.7570 loss_bbox: 1.5212 2024/10/27 09:40:04 - mmengine - INFO - Epoch(train) [89][1350/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:44:58 time: 0.2665 data_time: 0.0268 memory: 2049 grad_norm: 4.2811 loss: 4.2265 loss_cls: 2.7544 loss_bbox: 1.4721 2024/10/27 09:40:18 - mmengine - INFO - Epoch(train) [89][1400/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:44:46 time: 0.2715 data_time: 0.0356 memory: 2049 grad_norm: 4.0444 loss: 4.2360 loss_cls: 2.7555 loss_bbox: 1.4804 2024/10/27 09:40:31 - mmengine - INFO - Epoch(train) [89][1450/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:44:34 time: 0.2656 data_time: 0.0262 memory: 2049 grad_norm: 3.6112 loss: 4.2217 loss_cls: 2.7610 loss_bbox: 1.4607 2024/10/27 09:40:44 - mmengine - INFO - Epoch(train) [89][1500/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:44:22 time: 0.2562 data_time: 0.0247 memory: 2049 grad_norm: 4.0845 loss: 4.3610 loss_cls: 2.8085 loss_bbox: 1.5525 2024/10/27 09:40:57 - mmengine - INFO - Epoch(train) [89][1550/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:44:09 time: 0.2559 data_time: 0.0261 memory: 2049 grad_norm: 4.1199 loss: 4.2850 loss_cls: 2.8095 loss_bbox: 1.4755 2024/10/27 09:41:10 - mmengine - INFO - Epoch(train) [89][1600/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:43:57 time: 0.2578 data_time: 0.0256 memory: 2049 grad_norm: 4.0741 loss: 4.3232 loss_cls: 2.7770 loss_bbox: 1.5462 2024/10/27 09:41:23 - mmengine - INFO - Epoch(train) [89][1650/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:43:44 time: 0.2687 data_time: 0.0295 memory: 2049 grad_norm: 4.0669 loss: 4.2982 loss_cls: 2.7749 loss_bbox: 1.5233 2024/10/27 09:41:37 - mmengine - INFO - Epoch(train) [89][1700/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:43:32 time: 0.2646 data_time: 0.0273 memory: 2049 grad_norm: 3.7733 loss: 4.1793 loss_cls: 2.7286 loss_bbox: 1.4507 2024/10/27 09:41:50 - mmengine - INFO - Epoch(train) [89][1750/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:43:20 time: 0.2708 data_time: 0.0324 memory: 2049 grad_norm: 4.3960 loss: 4.2405 loss_cls: 2.7238 loss_bbox: 1.5167 2024/10/27 09:42:03 - mmengine - INFO - Epoch(train) [89][1800/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:43:07 time: 0.2578 data_time: 0.0258 memory: 2049 grad_norm: 3.6631 loss: 4.1859 loss_cls: 2.6929 loss_bbox: 1.4930 2024/10/27 09:42:19 - mmengine - INFO - Epoch(train) [89][1850/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:42:56 time: 0.3081 data_time: 0.0709 memory: 2049 grad_norm: 3.9257 loss: 4.2789 loss_cls: 2.7792 loss_bbox: 1.4997 2024/10/27 09:42:32 - mmengine - INFO - Epoch(train) [89][1900/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:42:43 time: 0.2607 data_time: 0.0254 memory: 2049 grad_norm: 3.7277 loss: 4.2565 loss_cls: 2.7387 loss_bbox: 1.5178 2024/10/27 09:42:45 - mmengine - INFO - Epoch(train) [89][1950/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:42:31 time: 0.2604 data_time: 0.0236 memory: 2049 grad_norm: 3.7704 loss: 4.2225 loss_cls: 2.7572 loss_bbox: 1.4654 2024/10/27 09:42:58 - mmengine - INFO - Epoch(train) [89][2000/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:42:19 time: 0.2577 data_time: 0.0276 memory: 2049 grad_norm: 3.9310 loss: 4.2996 loss_cls: 2.7635 loss_bbox: 1.5361 2024/10/27 09:43:10 - mmengine - INFO - Epoch(train) [89][2050/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:42:06 time: 0.2561 data_time: 0.0295 memory: 2049 grad_norm: 3.8712 loss: 4.4159 loss_cls: 2.8445 loss_bbox: 1.5714 2024/10/27 09:43:23 - mmengine - INFO - Epoch(train) [89][2100/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:41:53 time: 0.2529 data_time: 0.0241 memory: 2049 grad_norm: 3.9355 loss: 4.2612 loss_cls: 2.7533 loss_bbox: 1.5079 2024/10/27 09:43:36 - mmengine - INFO - Epoch(train) [89][2150/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:41:41 time: 0.2645 data_time: 0.0253 memory: 2049 grad_norm: 4.0264 loss: 4.2997 loss_cls: 2.7913 loss_bbox: 1.5084 2024/10/27 09:43:50 - mmengine - INFO - Epoch(train) [89][2200/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:41:29 time: 0.2676 data_time: 0.0317 memory: 2049 grad_norm: 3.8756 loss: 4.2537 loss_cls: 2.7426 loss_bbox: 1.5111 2024/10/27 09:44:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:44:02 - mmengine - INFO - Epoch(train) [89][2250/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:41:16 time: 0.2561 data_time: 0.0238 memory: 2049 grad_norm: 3.9385 loss: 4.2454 loss_cls: 2.7594 loss_bbox: 1.4860 2024/10/27 09:44:18 - mmengine - INFO - Epoch(train) [89][2300/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:41:05 time: 0.3062 data_time: 0.0804 memory: 2049 grad_norm: 4.0567 loss: 4.3379 loss_cls: 2.8250 loss_bbox: 1.5129 2024/10/27 09:44:31 - mmengine - INFO - Epoch(train) [89][2350/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:40:52 time: 0.2599 data_time: 0.0323 memory: 2049 grad_norm: 4.4207 loss: 4.2366 loss_cls: 2.7394 loss_bbox: 1.4971 2024/10/27 09:44:44 - mmengine - INFO - Epoch(train) [89][2400/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:40:40 time: 0.2642 data_time: 0.0241 memory: 2049 grad_norm: 4.0455 loss: 4.2399 loss_cls: 2.7311 loss_bbox: 1.5088 2024/10/27 09:44:57 - mmengine - INFO - Epoch(train) [89][2450/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:40:28 time: 0.2566 data_time: 0.0278 memory: 2049 grad_norm: 3.9540 loss: 4.2715 loss_cls: 2.7314 loss_bbox: 1.5401 2024/10/27 09:45:10 - mmengine - INFO - Epoch(train) [89][2500/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:40:15 time: 0.2520 data_time: 0.0256 memory: 2049 grad_norm: 4.0495 loss: 4.1358 loss_cls: 2.6948 loss_bbox: 1.4410 2024/10/27 09:45:22 - mmengine - INFO - Epoch(train) [89][2550/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:40:03 time: 0.2569 data_time: 0.0239 memory: 2049 grad_norm: 4.0484 loss: 4.2289 loss_cls: 2.7566 loss_bbox: 1.4723 2024/10/27 09:45:35 - mmengine - INFO - Epoch(train) [89][2600/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:39:50 time: 0.2557 data_time: 0.0239 memory: 2049 grad_norm: 4.0354 loss: 4.2393 loss_cls: 2.7566 loss_bbox: 1.4828 2024/10/27 09:45:48 - mmengine - INFO - Epoch(train) [89][2650/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:39:38 time: 0.2631 data_time: 0.0244 memory: 2049 grad_norm: 4.2157 loss: 4.2005 loss_cls: 2.7289 loss_bbox: 1.4716 2024/10/27 09:46:01 - mmengine - INFO - Epoch(train) [89][2700/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:39:25 time: 0.2513 data_time: 0.0244 memory: 2049 grad_norm: 4.0541 loss: 4.3127 loss_cls: 2.7756 loss_bbox: 1.5371 2024/10/27 09:46:14 - mmengine - INFO - Epoch(train) [89][2750/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:39:12 time: 0.2548 data_time: 0.0256 memory: 2049 grad_norm: 4.4818 loss: 4.2000 loss_cls: 2.7540 loss_bbox: 1.4461 2024/10/27 09:46:26 - mmengine - INFO - Epoch(train) [89][2800/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:39:00 time: 0.2528 data_time: 0.0249 memory: 2049 grad_norm: 3.8581 loss: 4.3510 loss_cls: 2.8162 loss_bbox: 1.5348 2024/10/27 09:46:39 - mmengine - INFO - Epoch(train) [89][2850/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:38:47 time: 0.2498 data_time: 0.0233 memory: 2049 grad_norm: 4.0843 loss: 4.3479 loss_cls: 2.7824 loss_bbox: 1.5655 2024/10/27 09:46:52 - mmengine - INFO - Epoch(train) [89][2900/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:38:35 time: 0.2566 data_time: 0.0240 memory: 2049 grad_norm: 4.0696 loss: 4.2539 loss_cls: 2.7525 loss_bbox: 1.5013 2024/10/27 09:47:04 - mmengine - INFO - Epoch(train) [89][2950/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:38:22 time: 0.2437 data_time: 0.0245 memory: 2049 grad_norm: 4.0764 loss: 4.1724 loss_cls: 2.7206 loss_bbox: 1.4518 2024/10/27 09:47:18 - mmengine - INFO - Epoch(train) [89][3000/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:38:10 time: 0.2859 data_time: 0.0571 memory: 2049 grad_norm: 3.8056 loss: 4.2411 loss_cls: 2.7632 loss_bbox: 1.4779 2024/10/27 09:47:31 - mmengine - INFO - Epoch(train) [89][3050/3054] base_lr: 1.3254e-03 lr: 1.3254e-03 eta: 6:37:57 time: 0.2521 data_time: 0.0235 memory: 2049 grad_norm: 3.7202 loss: 4.2499 loss_cls: 2.7648 loss_bbox: 1.4850 2024/10/27 09:47:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:47:32 - mmengine - INFO - Saving checkpoint at 89 epochs 2024/10/27 09:47:47 - mmengine - INFO - Epoch(train) [90][ 50/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:37:44 time: 0.2596 data_time: 0.0364 memory: 2049 grad_norm: 4.2097 loss: 4.2429 loss_cls: 2.7513 loss_bbox: 1.4916 2024/10/27 09:48:00 - mmengine - INFO - Epoch(train) [90][ 100/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:37:31 time: 0.2543 data_time: 0.0263 memory: 2049 grad_norm: 3.8225 loss: 4.2693 loss_cls: 2.7394 loss_bbox: 1.5300 2024/10/27 09:48:12 - mmengine - INFO - Epoch(train) [90][ 150/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:37:18 time: 0.2339 data_time: 0.0250 memory: 2049 grad_norm: 3.7341 loss: 4.2154 loss_cls: 2.7002 loss_bbox: 1.5152 2024/10/27 09:48:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:48:25 - mmengine - INFO - Epoch(train) [90][ 200/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:37:06 time: 0.2587 data_time: 0.0256 memory: 2049 grad_norm: 4.0826 loss: 4.2633 loss_cls: 2.7690 loss_bbox: 1.4943 2024/10/27 09:48:37 - mmengine - INFO - Epoch(train) [90][ 250/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:36:53 time: 0.2422 data_time: 0.0233 memory: 2049 grad_norm: 3.9849 loss: 4.1066 loss_cls: 2.6827 loss_bbox: 1.4239 2024/10/27 09:48:49 - mmengine - INFO - Epoch(train) [90][ 300/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:36:40 time: 0.2511 data_time: 0.0261 memory: 2049 grad_norm: 3.8142 loss: 4.2157 loss_cls: 2.7591 loss_bbox: 1.4565 2024/10/27 09:49:02 - mmengine - INFO - Epoch(train) [90][ 350/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:36:28 time: 0.2561 data_time: 0.0234 memory: 2049 grad_norm: 3.7666 loss: 4.1860 loss_cls: 2.7007 loss_bbox: 1.4853 2024/10/27 09:49:18 - mmengine - INFO - Epoch(train) [90][ 400/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:36:17 time: 0.3161 data_time: 0.0997 memory: 2049 grad_norm: 4.1761 loss: 4.2338 loss_cls: 2.7273 loss_bbox: 1.5065 2024/10/27 09:49:31 - mmengine - INFO - Epoch(train) [90][ 450/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:36:04 time: 0.2611 data_time: 0.0280 memory: 2049 grad_norm: 3.8199 loss: 4.2030 loss_cls: 2.7334 loss_bbox: 1.4696 2024/10/27 09:49:44 - mmengine - INFO - Epoch(train) [90][ 500/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:35:52 time: 0.2534 data_time: 0.0271 memory: 2049 grad_norm: 4.1915 loss: 4.2535 loss_cls: 2.7348 loss_bbox: 1.5187 2024/10/27 09:49:57 - mmengine - INFO - Epoch(train) [90][ 550/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:35:39 time: 0.2575 data_time: 0.0341 memory: 2049 grad_norm: 3.9156 loss: 4.2118 loss_cls: 2.6852 loss_bbox: 1.5267 2024/10/27 09:50:09 - mmengine - INFO - Epoch(train) [90][ 600/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:35:27 time: 0.2553 data_time: 0.0267 memory: 2049 grad_norm: 3.6109 loss: 4.2733 loss_cls: 2.7757 loss_bbox: 1.4977 2024/10/27 09:50:22 - mmengine - INFO - Epoch(train) [90][ 650/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:35:14 time: 0.2546 data_time: 0.0238 memory: 2049 grad_norm: 4.1475 loss: 4.2964 loss_cls: 2.7872 loss_bbox: 1.5092 2024/10/27 09:50:34 - mmengine - INFO - Epoch(train) [90][ 700/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:35:01 time: 0.2464 data_time: 0.0224 memory: 2049 grad_norm: 3.8468 loss: 4.2121 loss_cls: 2.7695 loss_bbox: 1.4427 2024/10/27 09:50:47 - mmengine - INFO - Epoch(train) [90][ 750/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:34:49 time: 0.2483 data_time: 0.0219 memory: 2049 grad_norm: 4.3856 loss: 4.2601 loss_cls: 2.7625 loss_bbox: 1.4975 2024/10/27 09:51:00 - mmengine - INFO - Epoch(train) [90][ 800/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:34:36 time: 0.2551 data_time: 0.0336 memory: 2049 grad_norm: 4.2345 loss: 4.3479 loss_cls: 2.7993 loss_bbox: 1.5487 2024/10/27 09:51:12 - mmengine - INFO - Epoch(train) [90][ 850/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:34:23 time: 0.2436 data_time: 0.0226 memory: 2049 grad_norm: 4.0116 loss: 4.2150 loss_cls: 2.7365 loss_bbox: 1.4785 2024/10/27 09:51:24 - mmengine - INFO - Epoch(train) [90][ 900/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:34:10 time: 0.2400 data_time: 0.0232 memory: 2049 grad_norm: 3.9306 loss: 4.2648 loss_cls: 2.7670 loss_bbox: 1.4978 2024/10/27 09:51:36 - mmengine - INFO - Epoch(train) [90][ 950/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:33:58 time: 0.2484 data_time: 0.0294 memory: 2049 grad_norm: 4.1601 loss: 4.3647 loss_cls: 2.8105 loss_bbox: 1.5542 2024/10/27 09:51:49 - mmengine - INFO - Epoch(train) [90][1000/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:33:45 time: 0.2548 data_time: 0.0224 memory: 2049 grad_norm: 3.8537 loss: 4.2170 loss_cls: 2.7616 loss_bbox: 1.4554 2024/10/27 09:52:02 - mmengine - INFO - Epoch(train) [90][1050/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:33:32 time: 0.2526 data_time: 0.0223 memory: 2049 grad_norm: 4.0569 loss: 4.1947 loss_cls: 2.7195 loss_bbox: 1.4752 2024/10/27 09:52:17 - mmengine - INFO - Epoch(train) [90][1100/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:33:21 time: 0.3115 data_time: 0.0895 memory: 2049 grad_norm: 4.0774 loss: 4.2768 loss_cls: 2.7485 loss_bbox: 1.5283 2024/10/27 09:52:30 - mmengine - INFO - Epoch(train) [90][1150/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:33:08 time: 0.2487 data_time: 0.0262 memory: 2049 grad_norm: 4.0257 loss: 4.2249 loss_cls: 2.7271 loss_bbox: 1.4979 2024/10/27 09:52:41 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:52:42 - mmengine - INFO - Epoch(train) [90][1200/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:32:56 time: 0.2431 data_time: 0.0226 memory: 2049 grad_norm: 4.2245 loss: 4.2911 loss_cls: 2.8140 loss_bbox: 1.4771 2024/10/27 09:52:54 - mmengine - INFO - Epoch(train) [90][1250/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:32:43 time: 0.2489 data_time: 0.0254 memory: 2049 grad_norm: 4.0132 loss: 4.2138 loss_cls: 2.7359 loss_bbox: 1.4779 2024/10/27 09:53:07 - mmengine - INFO - Epoch(train) [90][1300/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:32:30 time: 0.2522 data_time: 0.0219 memory: 2049 grad_norm: 3.9545 loss: 4.2309 loss_cls: 2.7563 loss_bbox: 1.4747 2024/10/27 09:53:20 - mmengine - INFO - Epoch(train) [90][1350/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:32:18 time: 0.2520 data_time: 0.0209 memory: 2049 grad_norm: 3.9618 loss: 4.3003 loss_cls: 2.7726 loss_bbox: 1.5277 2024/10/27 09:53:32 - mmengine - INFO - Epoch(train) [90][1400/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:32:05 time: 0.2500 data_time: 0.0224 memory: 2049 grad_norm: 3.9737 loss: 4.2612 loss_cls: 2.7923 loss_bbox: 1.4690 2024/10/27 09:53:44 - mmengine - INFO - Epoch(train) [90][1450/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:31:52 time: 0.2464 data_time: 0.0223 memory: 2049 grad_norm: 4.0195 loss: 4.2714 loss_cls: 2.7707 loss_bbox: 1.5007 2024/10/27 09:53:57 - mmengine - INFO - Epoch(train) [90][1500/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:31:40 time: 0.2589 data_time: 0.0223 memory: 2049 grad_norm: 4.1889 loss: 4.2617 loss_cls: 2.7544 loss_bbox: 1.5073 2024/10/27 09:54:10 - mmengine - INFO - Epoch(train) [90][1550/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:31:27 time: 0.2555 data_time: 0.0244 memory: 2049 grad_norm: 4.0595 loss: 4.2488 loss_cls: 2.7058 loss_bbox: 1.5429 2024/10/27 09:54:23 - mmengine - INFO - Epoch(train) [90][1600/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:31:15 time: 0.2492 data_time: 0.0241 memory: 2049 grad_norm: 4.4943 loss: 4.1928 loss_cls: 2.7154 loss_bbox: 1.4774 2024/10/27 09:54:35 - mmengine - INFO - Epoch(train) [90][1650/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:31:02 time: 0.2502 data_time: 0.0214 memory: 2049 grad_norm: 4.0390 loss: 4.2470 loss_cls: 2.7079 loss_bbox: 1.5390 2024/10/27 09:54:47 - mmengine - INFO - Epoch(train) [90][1700/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:30:49 time: 0.2448 data_time: 0.0273 memory: 2049 grad_norm: 3.9662 loss: 4.2311 loss_cls: 2.7361 loss_bbox: 1.4950 2024/10/27 09:55:00 - mmengine - INFO - Epoch(train) [90][1750/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:30:37 time: 0.2576 data_time: 0.0216 memory: 2049 grad_norm: 3.9167 loss: 4.2677 loss_cls: 2.7676 loss_bbox: 1.5001 2024/10/27 09:55:13 - mmengine - INFO - Epoch(train) [90][1800/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:30:24 time: 0.2540 data_time: 0.0335 memory: 2049 grad_norm: 3.6955 loss: 4.2313 loss_cls: 2.7511 loss_bbox: 1.4802 2024/10/27 09:55:25 - mmengine - INFO - Epoch(train) [90][1850/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:30:11 time: 0.2477 data_time: 0.0233 memory: 2049 grad_norm: 3.9832 loss: 4.2504 loss_cls: 2.7963 loss_bbox: 1.4541 2024/10/27 09:55:38 - mmengine - INFO - Epoch(train) [90][1900/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:29:59 time: 0.2517 data_time: 0.0310 memory: 2049 grad_norm: 3.7004 loss: 4.2067 loss_cls: 2.7331 loss_bbox: 1.4736 2024/10/27 09:55:50 - mmengine - INFO - Epoch(train) [90][1950/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:29:46 time: 0.2483 data_time: 0.0222 memory: 2049 grad_norm: 4.0416 loss: 4.3058 loss_cls: 2.7870 loss_bbox: 1.5188 2024/10/27 09:56:03 - mmengine - INFO - Epoch(train) [90][2000/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:29:34 time: 0.2548 data_time: 0.0226 memory: 2049 grad_norm: 4.1124 loss: 4.2197 loss_cls: 2.7338 loss_bbox: 1.4860 2024/10/27 09:56:18 - mmengine - INFO - Epoch(train) [90][2050/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:29:22 time: 0.3006 data_time: 0.0614 memory: 2049 grad_norm: 3.8837 loss: 4.2490 loss_cls: 2.7836 loss_bbox: 1.4654 2024/10/27 09:56:31 - mmengine - INFO - Epoch(train) [90][2100/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:29:09 time: 0.2572 data_time: 0.0238 memory: 2049 grad_norm: 3.8562 loss: 4.2093 loss_cls: 2.7168 loss_bbox: 1.4925 2024/10/27 09:56:44 - mmengine - INFO - Epoch(train) [90][2150/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:28:57 time: 0.2502 data_time: 0.0242 memory: 2049 grad_norm: 4.1385 loss: 4.2027 loss_cls: 2.7441 loss_bbox: 1.4586 2024/10/27 09:56:54 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 09:56:56 - mmengine - INFO - Epoch(train) [90][2200/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:28:44 time: 0.2517 data_time: 0.0259 memory: 2049 grad_norm: 3.9487 loss: 4.1190 loss_cls: 2.6903 loss_bbox: 1.4286 2024/10/27 09:57:09 - mmengine - INFO - Epoch(train) [90][2250/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:28:32 time: 0.2496 data_time: 0.0234 memory: 2049 grad_norm: 3.7922 loss: 4.1763 loss_cls: 2.7315 loss_bbox: 1.4448 2024/10/27 09:57:22 - mmengine - INFO - Epoch(train) [90][2300/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:28:19 time: 0.2612 data_time: 0.0280 memory: 2049 grad_norm: 4.0032 loss: 4.2252 loss_cls: 2.7177 loss_bbox: 1.5075 2024/10/27 09:57:34 - mmengine - INFO - Epoch(train) [90][2350/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:28:07 time: 0.2542 data_time: 0.0235 memory: 2049 grad_norm: 3.8655 loss: 4.2001 loss_cls: 2.7342 loss_bbox: 1.4659 2024/10/27 09:57:47 - mmengine - INFO - Epoch(train) [90][2400/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:27:54 time: 0.2572 data_time: 0.0267 memory: 2049 grad_norm: 4.0990 loss: 4.2249 loss_cls: 2.7066 loss_bbox: 1.5183 2024/10/27 09:58:00 - mmengine - INFO - Epoch(train) [90][2450/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:27:42 time: 0.2620 data_time: 0.0238 memory: 2049 grad_norm: 4.1340 loss: 4.2538 loss_cls: 2.7410 loss_bbox: 1.5128 2024/10/27 09:58:13 - mmengine - INFO - Epoch(train) [90][2500/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:27:29 time: 0.2442 data_time: 0.0246 memory: 2049 grad_norm: 3.9959 loss: 4.2679 loss_cls: 2.7434 loss_bbox: 1.5245 2024/10/27 09:58:26 - mmengine - INFO - Epoch(train) [90][2550/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:27:17 time: 0.2687 data_time: 0.0312 memory: 2049 grad_norm: 4.0819 loss: 4.1834 loss_cls: 2.6907 loss_bbox: 1.4927 2024/10/27 09:58:38 - mmengine - INFO - Epoch(train) [90][2600/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:27:04 time: 0.2458 data_time: 0.0241 memory: 2049 grad_norm: 3.9490 loss: 4.2391 loss_cls: 2.7477 loss_bbox: 1.4914 2024/10/27 09:58:51 - mmengine - INFO - Epoch(train) [90][2650/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:26:51 time: 0.2582 data_time: 0.0239 memory: 2049 grad_norm: 4.2829 loss: 4.2587 loss_cls: 2.7677 loss_bbox: 1.4910 2024/10/27 09:59:05 - mmengine - INFO - Epoch(train) [90][2700/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:26:39 time: 0.2678 data_time: 0.0268 memory: 2049 grad_norm: 4.4119 loss: 4.2823 loss_cls: 2.7863 loss_bbox: 1.4960 2024/10/27 09:59:19 - mmengine - INFO - Epoch(train) [90][2750/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:26:27 time: 0.2820 data_time: 0.0612 memory: 2049 grad_norm: 3.7985 loss: 4.1979 loss_cls: 2.7402 loss_bbox: 1.4577 2024/10/27 09:59:32 - mmengine - INFO - Epoch(train) [90][2800/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:26:15 time: 0.2557 data_time: 0.0277 memory: 2049 grad_norm: 3.9385 loss: 4.2677 loss_cls: 2.7519 loss_bbox: 1.5158 2024/10/27 09:59:44 - mmengine - INFO - Epoch(train) [90][2850/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:26:02 time: 0.2516 data_time: 0.0230 memory: 2049 grad_norm: 4.3470 loss: 4.2836 loss_cls: 2.7637 loss_bbox: 1.5199 2024/10/27 09:59:57 - mmengine - INFO - Epoch(train) [90][2900/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:25:49 time: 0.2549 data_time: 0.0226 memory: 2049 grad_norm: 4.0836 loss: 4.1495 loss_cls: 2.7014 loss_bbox: 1.4481 2024/10/27 10:00:09 - mmengine - INFO - Epoch(train) [90][2950/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:25:37 time: 0.2502 data_time: 0.0267 memory: 2049 grad_norm: 4.0416 loss: 4.2138 loss_cls: 2.7211 loss_bbox: 1.4927 2024/10/27 10:00:22 - mmengine - INFO - Epoch(train) [90][3000/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:25:24 time: 0.2585 data_time: 0.0252 memory: 2049 grad_norm: 4.1177 loss: 4.1953 loss_cls: 2.7361 loss_bbox: 1.4592 2024/10/27 10:00:35 - mmengine - INFO - Epoch(train) [90][3050/3054] base_lr: 1.2628e-03 lr: 1.2628e-03 eta: 6:25:12 time: 0.2590 data_time: 0.0194 memory: 2049 grad_norm: 4.3996 loss: 4.1494 loss_cls: 2.6846 loss_bbox: 1.4648 2024/10/27 10:00:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:00:36 - mmengine - INFO - Saving checkpoint at 90 epochs 2024/10/27 10:00:41 - mmengine - INFO - Epoch(val) [90][50/79] eta: 0:00:01 time: 0.0405 data_time: 0.0048 memory: 2049 2024/10/27 10:00:52 - mmengine - INFO - Evaluating bbox... 2024/10/27 10:01:50 - mmengine - INFO - bbox_mAP_copypaste: 0.201 0.341 0.201 0.018 0.181 0.407 2024/10/27 10:01:50 - mmengine - INFO - Epoch(val) [90][79/79] coco/bbox_mAP: 0.2010 coco/bbox_mAP_50: 0.3410 coco/bbox_mAP_75: 0.2010 coco/bbox_mAP_s: 0.0180 coco/bbox_mAP_m: 0.1810 coco/bbox_mAP_l: 0.4070 data_time: 0.0044 time: 0.0397 2024/10/27 10:02:03 - mmengine - INFO - Epoch(train) [91][ 50/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:24:58 time: 0.2501 data_time: 0.0322 memory: 2049 grad_norm: 4.0762 loss: 4.1189 loss_cls: 2.7013 loss_bbox: 1.4177 2024/10/27 10:02:18 - mmengine - INFO - Epoch(train) [91][ 100/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:24:46 time: 0.2875 data_time: 0.0618 memory: 2049 grad_norm: 3.9125 loss: 4.2046 loss_cls: 2.6943 loss_bbox: 1.5103 2024/10/27 10:02:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:02:30 - mmengine - INFO - Epoch(train) [91][ 150/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:24:34 time: 0.2489 data_time: 0.0238 memory: 2049 grad_norm: 4.3284 loss: 4.1727 loss_cls: 2.7168 loss_bbox: 1.4559 2024/10/27 10:02:42 - mmengine - INFO - Epoch(train) [91][ 200/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:24:21 time: 0.2343 data_time: 0.0239 memory: 2049 grad_norm: 4.3061 loss: 4.2264 loss_cls: 2.7621 loss_bbox: 1.4643 2024/10/27 10:02:54 - mmengine - INFO - Epoch(train) [91][ 250/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:24:08 time: 0.2454 data_time: 0.0244 memory: 2049 grad_norm: 3.9093 loss: 4.2707 loss_cls: 2.7354 loss_bbox: 1.5352 2024/10/27 10:03:06 - mmengine - INFO - Epoch(train) [91][ 300/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:23:55 time: 0.2457 data_time: 0.0228 memory: 2049 grad_norm: 3.9641 loss: 4.2361 loss_cls: 2.7636 loss_bbox: 1.4725 2024/10/27 10:03:19 - mmengine - INFO - Epoch(train) [91][ 350/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:23:42 time: 0.2436 data_time: 0.0218 memory: 2049 grad_norm: 3.9935 loss: 4.2027 loss_cls: 2.7236 loss_bbox: 1.4791 2024/10/27 10:03:31 - mmengine - INFO - Epoch(train) [91][ 400/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:23:30 time: 0.2460 data_time: 0.0237 memory: 2049 grad_norm: 3.9714 loss: 4.2373 loss_cls: 2.7440 loss_bbox: 1.4933 2024/10/27 10:03:43 - mmengine - INFO - Epoch(train) [91][ 450/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:23:17 time: 0.2500 data_time: 0.0238 memory: 2049 grad_norm: 4.1099 loss: 4.1073 loss_cls: 2.6963 loss_bbox: 1.4110 2024/10/27 10:03:55 - mmengine - INFO - Epoch(train) [91][ 500/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:23:04 time: 0.2295 data_time: 0.0223 memory: 2049 grad_norm: 3.9083 loss: 4.1390 loss_cls: 2.6955 loss_bbox: 1.4435 2024/10/27 10:04:07 - mmengine - INFO - Epoch(train) [91][ 550/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:22:51 time: 0.2401 data_time: 0.0235 memory: 2049 grad_norm: 4.1050 loss: 4.2280 loss_cls: 2.7328 loss_bbox: 1.4952 2024/10/27 10:04:19 - mmengine - INFO - Epoch(train) [91][ 600/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:22:38 time: 0.2480 data_time: 0.0213 memory: 2049 grad_norm: 3.7932 loss: 4.2535 loss_cls: 2.7519 loss_bbox: 1.5017 2024/10/27 10:04:32 - mmengine - INFO - Epoch(train) [91][ 650/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:22:25 time: 0.2422 data_time: 0.0220 memory: 2049 grad_norm: 3.8347 loss: 4.1756 loss_cls: 2.7267 loss_bbox: 1.4488 2024/10/27 10:04:44 - mmengine - INFO - Epoch(train) [91][ 700/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:22:13 time: 0.2497 data_time: 0.0246 memory: 2049 grad_norm: 4.2984 loss: 4.1582 loss_cls: 2.7086 loss_bbox: 1.4495 2024/10/27 10:04:56 - mmengine - INFO - Epoch(train) [91][ 750/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:22:00 time: 0.2354 data_time: 0.0242 memory: 2049 grad_norm: 4.0203 loss: 4.1195 loss_cls: 2.6803 loss_bbox: 1.4392 2024/10/27 10:05:08 - mmengine - INFO - Epoch(train) [91][ 800/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:21:47 time: 0.2527 data_time: 0.0255 memory: 2049 grad_norm: 4.2740 loss: 4.1995 loss_cls: 2.6969 loss_bbox: 1.5026 2024/10/27 10:05:21 - mmengine - INFO - Epoch(train) [91][ 850/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:21:35 time: 0.2550 data_time: 0.0227 memory: 2049 grad_norm: 3.9591 loss: 4.1534 loss_cls: 2.6968 loss_bbox: 1.4566 2024/10/27 10:05:33 - mmengine - INFO - Epoch(train) [91][ 900/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:21:22 time: 0.2408 data_time: 0.0231 memory: 2049 grad_norm: 4.1727 loss: 4.1834 loss_cls: 2.7008 loss_bbox: 1.4826 2024/10/27 10:05:46 - mmengine - INFO - Epoch(train) [91][ 950/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:21:09 time: 0.2498 data_time: 0.0228 memory: 2049 grad_norm: 4.2967 loss: 4.2154 loss_cls: 2.7180 loss_bbox: 1.4974 2024/10/27 10:05:58 - mmengine - INFO - Epoch(train) [91][1000/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:20:56 time: 0.2496 data_time: 0.0255 memory: 2049 grad_norm: 4.1069 loss: 4.2721 loss_cls: 2.7817 loss_bbox: 1.4904 2024/10/27 10:06:11 - mmengine - INFO - Epoch(train) [91][1050/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:20:44 time: 0.2590 data_time: 0.0237 memory: 2049 grad_norm: 4.2012 loss: 4.2381 loss_cls: 2.7155 loss_bbox: 1.5227 2024/10/27 10:06:24 - mmengine - INFO - Epoch(train) [91][1100/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:20:31 time: 0.2569 data_time: 0.0324 memory: 2049 grad_norm: 3.7816 loss: 4.2485 loss_cls: 2.7585 loss_bbox: 1.4900 2024/10/27 10:06:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:06:37 - mmengine - INFO - Epoch(train) [91][1150/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:20:19 time: 0.2528 data_time: 0.0249 memory: 2049 grad_norm: 3.9299 loss: 4.1616 loss_cls: 2.6999 loss_bbox: 1.4617 2024/10/27 10:06:49 - mmengine - INFO - Epoch(train) [91][1200/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:20:06 time: 0.2540 data_time: 0.0251 memory: 2049 grad_norm: 4.1177 loss: 4.3109 loss_cls: 2.7648 loss_bbox: 1.5461 2024/10/27 10:07:03 - mmengine - INFO - Epoch(train) [91][1250/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:19:54 time: 0.2631 data_time: 0.0331 memory: 2049 grad_norm: 3.8784 loss: 4.2738 loss_cls: 2.7467 loss_bbox: 1.5271 2024/10/27 10:07:19 - mmengine - INFO - Epoch(train) [91][1300/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:19:43 time: 0.3181 data_time: 0.0829 memory: 2049 grad_norm: 4.1462 loss: 4.1005 loss_cls: 2.6852 loss_bbox: 1.4154 2024/10/27 10:07:31 - mmengine - INFO - Epoch(train) [91][1350/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:19:30 time: 0.2564 data_time: 0.0258 memory: 2049 grad_norm: 4.0371 loss: 4.2948 loss_cls: 2.8249 loss_bbox: 1.4699 2024/10/27 10:07:44 - mmengine - INFO - Epoch(train) [91][1400/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:19:17 time: 0.2437 data_time: 0.0246 memory: 2049 grad_norm: 3.9927 loss: 4.2344 loss_cls: 2.7642 loss_bbox: 1.4702 2024/10/27 10:07:56 - mmengine - INFO - Epoch(train) [91][1450/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:19:05 time: 0.2505 data_time: 0.0231 memory: 2049 grad_norm: 3.8011 loss: 4.2893 loss_cls: 2.7680 loss_bbox: 1.5214 2024/10/27 10:08:08 - mmengine - INFO - Epoch(train) [91][1500/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:18:52 time: 0.2410 data_time: 0.0302 memory: 2049 grad_norm: 3.8135 loss: 4.1700 loss_cls: 2.7325 loss_bbox: 1.4375 2024/10/27 10:08:21 - mmengine - INFO - Epoch(train) [91][1550/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:18:39 time: 0.2612 data_time: 0.0231 memory: 2049 grad_norm: 4.2869 loss: 4.1340 loss_cls: 2.6893 loss_bbox: 1.4447 2024/10/27 10:08:34 - mmengine - INFO - Epoch(train) [91][1600/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:18:27 time: 0.2475 data_time: 0.0235 memory: 2049 grad_norm: 3.9943 loss: 4.1628 loss_cls: 2.6993 loss_bbox: 1.4635 2024/10/27 10:08:46 - mmengine - INFO - Epoch(train) [91][1650/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:18:14 time: 0.2390 data_time: 0.0213 memory: 2049 grad_norm: 3.8056 loss: 4.3283 loss_cls: 2.7763 loss_bbox: 1.5520 2024/10/27 10:08:58 - mmengine - INFO - Epoch(train) [91][1700/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:18:01 time: 0.2556 data_time: 0.0245 memory: 2049 grad_norm: 4.0075 loss: 4.2676 loss_cls: 2.7546 loss_bbox: 1.5130 2024/10/27 10:09:11 - mmengine - INFO - Epoch(train) [91][1750/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:17:48 time: 0.2429 data_time: 0.0230 memory: 2049 grad_norm: 3.9455 loss: 4.2116 loss_cls: 2.7700 loss_bbox: 1.4416 2024/10/27 10:09:24 - mmengine - INFO - Epoch(train) [91][1800/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:17:36 time: 0.2625 data_time: 0.0284 memory: 2049 grad_norm: 4.2228 loss: 4.2626 loss_cls: 2.7994 loss_bbox: 1.4631 2024/10/27 10:09:36 - mmengine - INFO - Epoch(train) [91][1850/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:17:23 time: 0.2456 data_time: 0.0215 memory: 2049 grad_norm: 4.2013 loss: 4.2180 loss_cls: 2.7392 loss_bbox: 1.4789 2024/10/27 10:09:48 - mmengine - INFO - Epoch(train) [91][1900/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:17:11 time: 0.2493 data_time: 0.0235 memory: 2049 grad_norm: 3.9103 loss: 4.1334 loss_cls: 2.6913 loss_bbox: 1.4421 2024/10/27 10:10:01 - mmengine - INFO - Epoch(train) [91][1950/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:16:58 time: 0.2557 data_time: 0.0232 memory: 2049 grad_norm: 3.8095 loss: 4.2416 loss_cls: 2.6993 loss_bbox: 1.5423 2024/10/27 10:10:13 - mmengine - INFO - Epoch(train) [91][2000/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:16:45 time: 0.2407 data_time: 0.0231 memory: 2049 grad_norm: 4.3998 loss: 4.1659 loss_cls: 2.7206 loss_bbox: 1.4453 2024/10/27 10:10:26 - mmengine - INFO - Epoch(train) [91][2050/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:16:33 time: 0.2545 data_time: 0.0221 memory: 2049 grad_norm: 4.0060 loss: 4.2672 loss_cls: 2.7297 loss_bbox: 1.5375 2024/10/27 10:10:38 - mmengine - INFO - Epoch(train) [91][2100/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:16:20 time: 0.2417 data_time: 0.0239 memory: 2049 grad_norm: 3.8352 loss: 4.1770 loss_cls: 2.7205 loss_bbox: 1.4565 2024/10/27 10:10:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:10:51 - mmengine - INFO - Epoch(train) [91][2150/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:16:07 time: 0.2566 data_time: 0.0228 memory: 2049 grad_norm: 4.1053 loss: 4.3669 loss_cls: 2.7867 loss_bbox: 1.5802 2024/10/27 10:11:04 - mmengine - INFO - Epoch(train) [91][2200/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:15:55 time: 0.2541 data_time: 0.0239 memory: 2049 grad_norm: 4.0931 loss: 4.2344 loss_cls: 2.7511 loss_bbox: 1.4833 2024/10/27 10:11:18 - mmengine - INFO - Epoch(train) [91][2250/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:15:43 time: 0.2831 data_time: 0.0670 memory: 2049 grad_norm: 3.9948 loss: 4.2033 loss_cls: 2.6896 loss_bbox: 1.5138 2024/10/27 10:11:31 - mmengine - INFO - Epoch(train) [91][2300/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:15:30 time: 0.2559 data_time: 0.0238 memory: 2049 grad_norm: 4.6149 loss: 4.2262 loss_cls: 2.7146 loss_bbox: 1.5116 2024/10/27 10:11:43 - mmengine - INFO - Epoch(train) [91][2350/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:15:18 time: 0.2492 data_time: 0.0211 memory: 2049 grad_norm: 3.7987 loss: 4.2135 loss_cls: 2.7093 loss_bbox: 1.5043 2024/10/27 10:11:56 - mmengine - INFO - Epoch(train) [91][2400/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:15:05 time: 0.2584 data_time: 0.0218 memory: 2049 grad_norm: 4.2750 loss: 4.1730 loss_cls: 2.7329 loss_bbox: 1.4402 2024/10/27 10:12:09 - mmengine - INFO - Epoch(train) [91][2450/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:14:53 time: 0.2609 data_time: 0.0217 memory: 2049 grad_norm: 4.0961 loss: 4.1564 loss_cls: 2.6958 loss_bbox: 1.4606 2024/10/27 10:12:22 - mmengine - INFO - Epoch(train) [91][2500/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:14:40 time: 0.2561 data_time: 0.0264 memory: 2049 grad_norm: 4.2302 loss: 4.1654 loss_cls: 2.6965 loss_bbox: 1.4688 2024/10/27 10:12:35 - mmengine - INFO - Epoch(train) [91][2550/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:14:28 time: 0.2557 data_time: 0.0293 memory: 2049 grad_norm: 4.2036 loss: 4.2451 loss_cls: 2.7424 loss_bbox: 1.5027 2024/10/27 10:12:48 - mmengine - INFO - Epoch(train) [91][2600/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:14:15 time: 0.2592 data_time: 0.0216 memory: 2049 grad_norm: 4.0545 loss: 4.2351 loss_cls: 2.7152 loss_bbox: 1.5199 2024/10/27 10:13:01 - mmengine - INFO - Epoch(train) [91][2650/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:14:03 time: 0.2620 data_time: 0.0244 memory: 2049 grad_norm: 4.0839 loss: 4.1837 loss_cls: 2.7500 loss_bbox: 1.4337 2024/10/27 10:13:14 - mmengine - INFO - Epoch(train) [91][2700/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:13:50 time: 0.2594 data_time: 0.0243 memory: 2049 grad_norm: 4.1156 loss: 4.3273 loss_cls: 2.7469 loss_bbox: 1.5804 2024/10/27 10:13:28 - mmengine - INFO - Epoch(train) [91][2750/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:13:38 time: 0.2778 data_time: 0.0387 memory: 2049 grad_norm: 4.1184 loss: 4.2487 loss_cls: 2.7653 loss_bbox: 1.4834 2024/10/27 10:13:40 - mmengine - INFO - Epoch(train) [91][2800/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:13:25 time: 0.2520 data_time: 0.0244 memory: 2049 grad_norm: 4.3428 loss: 4.1952 loss_cls: 2.7309 loss_bbox: 1.4643 2024/10/27 10:13:53 - mmengine - INFO - Epoch(train) [91][2850/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:13:13 time: 0.2613 data_time: 0.0262 memory: 2049 grad_norm: 4.1803 loss: 4.2185 loss_cls: 2.7364 loss_bbox: 1.4821 2024/10/27 10:14:07 - mmengine - INFO - Epoch(train) [91][2900/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:13:01 time: 0.2710 data_time: 0.0258 memory: 2049 grad_norm: 4.1642 loss: 4.3439 loss_cls: 2.7632 loss_bbox: 1.5807 2024/10/27 10:14:20 - mmengine - INFO - Epoch(train) [91][2950/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:12:48 time: 0.2569 data_time: 0.0241 memory: 2049 grad_norm: 3.8608 loss: 4.2936 loss_cls: 2.7584 loss_bbox: 1.5352 2024/10/27 10:14:33 - mmengine - INFO - Epoch(train) [91][3000/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:12:36 time: 0.2716 data_time: 0.0243 memory: 2049 grad_norm: 3.9281 loss: 4.2278 loss_cls: 2.7787 loss_bbox: 1.4490 2024/10/27 10:14:46 - mmengine - INFO - Epoch(train) [91][3050/3054] base_lr: 1.2000e-03 lr: 1.2000e-03 eta: 6:12:24 time: 0.2592 data_time: 0.0277 memory: 2049 grad_norm: 3.9074 loss: 4.2131 loss_cls: 2.7247 loss_bbox: 1.4883 2024/10/27 10:14:47 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:14:47 - mmengine - INFO - Saving checkpoint at 91 epochs 2024/10/27 10:15:03 - mmengine - INFO - Epoch(train) [92][ 50/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:12:10 time: 0.2567 data_time: 0.0408 memory: 2049 grad_norm: 4.0672 loss: 4.2387 loss_cls: 2.7369 loss_bbox: 1.5018 2024/10/27 10:15:14 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:15:17 - mmengine - INFO - Epoch(train) [92][ 100/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:11:58 time: 0.2935 data_time: 0.0721 memory: 2049 grad_norm: 4.0443 loss: 4.2133 loss_cls: 2.7335 loss_bbox: 1.4798 2024/10/27 10:15:29 - mmengine - INFO - Epoch(train) [92][ 150/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:11:45 time: 0.2314 data_time: 0.0286 memory: 2049 grad_norm: 3.9064 loss: 4.1512 loss_cls: 2.6941 loss_bbox: 1.4570 2024/10/27 10:15:41 - mmengine - INFO - Epoch(train) [92][ 200/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:11:32 time: 0.2466 data_time: 0.0226 memory: 2049 grad_norm: 3.9113 loss: 4.2702 loss_cls: 2.7210 loss_bbox: 1.5492 2024/10/27 10:15:53 - mmengine - INFO - Epoch(train) [92][ 250/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:11:19 time: 0.2318 data_time: 0.0236 memory: 2049 grad_norm: 3.9592 loss: 4.1733 loss_cls: 2.6940 loss_bbox: 1.4793 2024/10/27 10:16:05 - mmengine - INFO - Epoch(train) [92][ 300/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:11:07 time: 0.2450 data_time: 0.0370 memory: 2049 grad_norm: 4.1050 loss: 4.1559 loss_cls: 2.6933 loss_bbox: 1.4626 2024/10/27 10:16:18 - mmengine - INFO - Epoch(train) [92][ 350/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:10:54 time: 0.2521 data_time: 0.0289 memory: 2049 grad_norm: 4.1276 loss: 4.2209 loss_cls: 2.7213 loss_bbox: 1.4996 2024/10/27 10:16:29 - mmengine - INFO - Epoch(train) [92][ 400/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:10:41 time: 0.2256 data_time: 0.0243 memory: 2049 grad_norm: 4.2113 loss: 4.1926 loss_cls: 2.7186 loss_bbox: 1.4740 2024/10/27 10:16:42 - mmengine - INFO - Epoch(train) [92][ 450/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:10:28 time: 0.2586 data_time: 0.0286 memory: 2049 grad_norm: 4.3312 loss: 4.1937 loss_cls: 2.7247 loss_bbox: 1.4691 2024/10/27 10:16:54 - mmengine - INFO - Epoch(train) [92][ 500/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:10:15 time: 0.2342 data_time: 0.0237 memory: 2049 grad_norm: 4.0313 loss: 4.2811 loss_cls: 2.7605 loss_bbox: 1.5206 2024/10/27 10:17:06 - mmengine - INFO - Epoch(train) [92][ 550/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:10:03 time: 0.2436 data_time: 0.0238 memory: 2049 grad_norm: 3.9369 loss: 4.2208 loss_cls: 2.7113 loss_bbox: 1.5095 2024/10/27 10:17:19 - mmengine - INFO - Epoch(train) [92][ 600/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:09:50 time: 0.2576 data_time: 0.0249 memory: 2049 grad_norm: 4.0260 loss: 4.1461 loss_cls: 2.6557 loss_bbox: 1.4903 2024/10/27 10:17:31 - mmengine - INFO - Epoch(train) [92][ 650/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:09:37 time: 0.2387 data_time: 0.0244 memory: 2049 grad_norm: 4.3357 loss: 4.1907 loss_cls: 2.7402 loss_bbox: 1.4506 2024/10/27 10:17:44 - mmengine - INFO - Epoch(train) [92][ 700/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:09:25 time: 0.2629 data_time: 0.0223 memory: 2049 grad_norm: 4.1380 loss: 4.1292 loss_cls: 2.7085 loss_bbox: 1.4207 2024/10/27 10:17:57 - mmengine - INFO - Epoch(train) [92][ 750/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:09:12 time: 0.2551 data_time: 0.0220 memory: 2049 grad_norm: 4.5532 loss: 4.1661 loss_cls: 2.6981 loss_bbox: 1.4681 2024/10/27 10:18:09 - mmengine - INFO - Epoch(train) [92][ 800/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:09:00 time: 0.2486 data_time: 0.0264 memory: 2049 grad_norm: 4.0431 loss: 4.1935 loss_cls: 2.7136 loss_bbox: 1.4799 2024/10/27 10:18:23 - mmengine - INFO - Epoch(train) [92][ 850/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:08:47 time: 0.2672 data_time: 0.0231 memory: 2049 grad_norm: 3.9726 loss: 4.1146 loss_cls: 2.6738 loss_bbox: 1.4408 2024/10/27 10:18:35 - mmengine - INFO - Epoch(train) [92][ 900/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:08:35 time: 0.2492 data_time: 0.0206 memory: 2049 grad_norm: 4.0391 loss: 4.0874 loss_cls: 2.6709 loss_bbox: 1.4165 2024/10/27 10:18:49 - mmengine - INFO - Epoch(train) [92][ 950/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:08:23 time: 0.2811 data_time: 0.0219 memory: 2049 grad_norm: 4.2365 loss: 4.1887 loss_cls: 2.7446 loss_bbox: 1.4440 2024/10/27 10:19:02 - mmengine - INFO - Epoch(train) [92][1000/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:08:10 time: 0.2608 data_time: 0.0221 memory: 2049 grad_norm: 4.2882 loss: 4.1972 loss_cls: 2.6942 loss_bbox: 1.5030 2024/10/27 10:19:19 - mmengine - INFO - Epoch(train) [92][1050/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:07:59 time: 0.3280 data_time: 0.0929 memory: 2049 grad_norm: 4.1273 loss: 4.2381 loss_cls: 2.7471 loss_bbox: 1.4911 2024/10/27 10:19:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:19:32 - mmengine - INFO - Epoch(train) [92][1100/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:07:47 time: 0.2662 data_time: 0.0247 memory: 2049 grad_norm: 4.0766 loss: 4.1816 loss_cls: 2.7172 loss_bbox: 1.4644 2024/10/27 10:19:44 - mmengine - INFO - Epoch(train) [92][1150/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:07:34 time: 0.2511 data_time: 0.0269 memory: 2049 grad_norm: 3.7776 loss: 4.3112 loss_cls: 2.7744 loss_bbox: 1.5368 2024/10/27 10:19:58 - mmengine - INFO - Epoch(train) [92][1200/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:07:22 time: 0.2665 data_time: 0.0222 memory: 2049 grad_norm: 3.8981 loss: 4.1893 loss_cls: 2.6817 loss_bbox: 1.5076 2024/10/27 10:20:11 - mmengine - INFO - Epoch(train) [92][1250/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:07:09 time: 0.2684 data_time: 0.0315 memory: 2049 grad_norm: 4.1306 loss: 4.3348 loss_cls: 2.7657 loss_bbox: 1.5690 2024/10/27 10:20:25 - mmengine - INFO - Epoch(train) [92][1300/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:06:57 time: 0.2691 data_time: 0.0209 memory: 2049 grad_norm: 4.1418 loss: 4.2061 loss_cls: 2.7273 loss_bbox: 1.4788 2024/10/27 10:20:38 - mmengine - INFO - Epoch(train) [92][1350/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:06:45 time: 0.2730 data_time: 0.0201 memory: 2049 grad_norm: 4.0147 loss: 4.2421 loss_cls: 2.7493 loss_bbox: 1.4928 2024/10/27 10:20:51 - mmengine - INFO - Epoch(train) [92][1400/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:06:32 time: 0.2581 data_time: 0.0187 memory: 2049 grad_norm: 3.8079 loss: 4.2108 loss_cls: 2.7081 loss_bbox: 1.5027 2024/10/27 10:21:05 - mmengine - INFO - Epoch(train) [92][1450/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:06:20 time: 0.2741 data_time: 0.0196 memory: 2049 grad_norm: 4.4623 loss: 4.1862 loss_cls: 2.7071 loss_bbox: 1.4791 2024/10/27 10:21:19 - mmengine - INFO - Epoch(train) [92][1500/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:06:08 time: 0.2752 data_time: 0.0447 memory: 2049 grad_norm: 4.0097 loss: 4.1427 loss_cls: 2.6729 loss_bbox: 1.4698 2024/10/27 10:21:32 - mmengine - INFO - Epoch(train) [92][1550/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:05:56 time: 0.2739 data_time: 0.0271 memory: 2049 grad_norm: 4.2269 loss: 4.1785 loss_cls: 2.7023 loss_bbox: 1.4762 2024/10/27 10:21:46 - mmengine - INFO - Epoch(train) [92][1600/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:05:44 time: 0.2730 data_time: 0.0201 memory: 2049 grad_norm: 4.4108 loss: 4.2041 loss_cls: 2.7115 loss_bbox: 1.4926 2024/10/27 10:22:00 - mmengine - INFO - Epoch(train) [92][1650/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:05:31 time: 0.2710 data_time: 0.0313 memory: 2049 grad_norm: 4.0844 loss: 4.2439 loss_cls: 2.7304 loss_bbox: 1.5134 2024/10/27 10:22:13 - mmengine - INFO - Epoch(train) [92][1700/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:05:19 time: 0.2614 data_time: 0.0247 memory: 2049 grad_norm: 4.6044 loss: 4.1851 loss_cls: 2.7252 loss_bbox: 1.4599 2024/10/27 10:22:25 - mmengine - INFO - Epoch(train) [92][1750/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:05:06 time: 0.2430 data_time: 0.0194 memory: 2049 grad_norm: 4.0604 loss: 4.2192 loss_cls: 2.7090 loss_bbox: 1.5101 2024/10/27 10:22:38 - mmengine - INFO - Epoch(train) [92][1800/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:04:54 time: 0.2613 data_time: 0.0196 memory: 2049 grad_norm: 4.0466 loss: 4.2237 loss_cls: 2.7239 loss_bbox: 1.4998 2024/10/27 10:22:51 - mmengine - INFO - Epoch(train) [92][1850/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:04:41 time: 0.2687 data_time: 0.0217 memory: 2049 grad_norm: 4.2710 loss: 4.1629 loss_cls: 2.6933 loss_bbox: 1.4697 2024/10/27 10:23:05 - mmengine - INFO - Epoch(train) [92][1900/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:04:29 time: 0.2672 data_time: 0.0203 memory: 2049 grad_norm: 3.9828 loss: 4.1350 loss_cls: 2.6777 loss_bbox: 1.4573 2024/10/27 10:23:19 - mmengine - INFO - Epoch(train) [92][1950/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:04:17 time: 0.2844 data_time: 0.0439 memory: 2049 grad_norm: 3.9661 loss: 4.1945 loss_cls: 2.7084 loss_bbox: 1.4861 2024/10/27 10:23:31 - mmengine - INFO - Epoch(train) [92][2000/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:04:04 time: 0.2486 data_time: 0.0207 memory: 2049 grad_norm: 4.2977 loss: 4.2386 loss_cls: 2.7336 loss_bbox: 1.5051 2024/10/27 10:23:45 - mmengine - INFO - Epoch(train) [92][2050/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:03:52 time: 0.2643 data_time: 0.0223 memory: 2049 grad_norm: 4.3249 loss: 4.2229 loss_cls: 2.7588 loss_bbox: 1.4641 2024/10/27 10:23:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:23:59 - mmengine - INFO - Epoch(train) [92][2100/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:03:40 time: 0.2779 data_time: 0.0253 memory: 2049 grad_norm: 4.2641 loss: 4.1108 loss_cls: 2.6591 loss_bbox: 1.4517 2024/10/27 10:24:13 - mmengine - INFO - Epoch(train) [92][2150/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:03:28 time: 0.2816 data_time: 0.0348 memory: 2049 grad_norm: 4.2871 loss: 4.0691 loss_cls: 2.6453 loss_bbox: 1.4238 2024/10/27 10:24:26 - mmengine - INFO - Epoch(train) [92][2200/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:03:15 time: 0.2665 data_time: 0.0223 memory: 2049 grad_norm: 4.0830 loss: 4.2622 loss_cls: 2.7374 loss_bbox: 1.5249 2024/10/27 10:24:39 - mmengine - INFO - Epoch(train) [92][2250/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:03:03 time: 0.2626 data_time: 0.0226 memory: 2049 grad_norm: 4.1725 loss: 4.1710 loss_cls: 2.7231 loss_bbox: 1.4478 2024/10/27 10:24:52 - mmengine - INFO - Epoch(train) [92][2300/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:02:50 time: 0.2570 data_time: 0.0313 memory: 2049 grad_norm: 4.2856 loss: 4.0810 loss_cls: 2.6572 loss_bbox: 1.4237 2024/10/27 10:25:05 - mmengine - INFO - Epoch(train) [92][2350/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:02:38 time: 0.2604 data_time: 0.0231 memory: 2049 grad_norm: 4.1733 loss: 4.2382 loss_cls: 2.7150 loss_bbox: 1.5232 2024/10/27 10:25:19 - mmengine - INFO - Epoch(train) [92][2400/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:02:26 time: 0.2726 data_time: 0.0341 memory: 2049 grad_norm: 3.9588 loss: 4.0808 loss_cls: 2.6734 loss_bbox: 1.4074 2024/10/27 10:25:32 - mmengine - INFO - Epoch(train) [92][2450/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:02:13 time: 0.2564 data_time: 0.0249 memory: 2049 grad_norm: 4.1932 loss: 4.1354 loss_cls: 2.6979 loss_bbox: 1.4375 2024/10/27 10:25:44 - mmengine - INFO - Epoch(train) [92][2500/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:02:01 time: 0.2571 data_time: 0.0223 memory: 2049 grad_norm: 4.5053 loss: 4.1141 loss_cls: 2.6529 loss_bbox: 1.4611 2024/10/27 10:25:57 - mmengine - INFO - Epoch(train) [92][2550/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:01:48 time: 0.2562 data_time: 0.0281 memory: 2049 grad_norm: 4.1467 loss: 4.2648 loss_cls: 2.7637 loss_bbox: 1.5012 2024/10/27 10:26:10 - mmengine - INFO - Epoch(train) [92][2600/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:01:36 time: 0.2553 data_time: 0.0244 memory: 2049 grad_norm: 4.2677 loss: 4.1468 loss_cls: 2.6883 loss_bbox: 1.4585 2024/10/27 10:26:23 - mmengine - INFO - Epoch(train) [92][2650/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:01:23 time: 0.2586 data_time: 0.0259 memory: 2049 grad_norm: 3.7035 loss: 4.2319 loss_cls: 2.7175 loss_bbox: 1.5145 2024/10/27 10:26:36 - mmengine - INFO - Epoch(train) [92][2700/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:01:11 time: 0.2656 data_time: 0.0227 memory: 2049 grad_norm: 3.7958 loss: 4.2042 loss_cls: 2.7632 loss_bbox: 1.4410 2024/10/27 10:26:49 - mmengine - INFO - Epoch(train) [92][2750/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:00:58 time: 0.2558 data_time: 0.0253 memory: 2049 grad_norm: 3.9192 loss: 4.1759 loss_cls: 2.7030 loss_bbox: 1.4729 2024/10/27 10:27:02 - mmengine - INFO - Epoch(train) [92][2800/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:00:46 time: 0.2632 data_time: 0.0279 memory: 2049 grad_norm: 4.0733 loss: 4.2635 loss_cls: 2.7297 loss_bbox: 1.5338 2024/10/27 10:27:18 - mmengine - INFO - Epoch(train) [92][2850/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:00:34 time: 0.3172 data_time: 0.0869 memory: 2049 grad_norm: 4.1542 loss: 4.0706 loss_cls: 2.6546 loss_bbox: 1.4160 2024/10/27 10:27:31 - mmengine - INFO - Epoch(train) [92][2900/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:00:22 time: 0.2583 data_time: 0.0281 memory: 2049 grad_norm: 3.8598 loss: 4.1955 loss_cls: 2.7086 loss_bbox: 1.4869 2024/10/27 10:27:44 - mmengine - INFO - Epoch(train) [92][2950/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 6:00:09 time: 0.2650 data_time: 0.0231 memory: 2049 grad_norm: 4.2986 loss: 4.2529 loss_cls: 2.7480 loss_bbox: 1.5049 2024/10/27 10:27:57 - mmengine - INFO - Epoch(train) [92][3000/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 5:59:57 time: 0.2616 data_time: 0.0280 memory: 2049 grad_norm: 4.1803 loss: 4.1361 loss_cls: 2.6678 loss_bbox: 1.4682 2024/10/27 10:28:10 - mmengine - INFO - Epoch(train) [92][3050/3054] base_lr: 1.1372e-03 lr: 1.1372e-03 eta: 5:59:44 time: 0.2532 data_time: 0.0231 memory: 2049 grad_norm: 4.3767 loss: 4.1274 loss_cls: 2.6885 loss_bbox: 1.4389 2024/10/27 10:28:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:28:11 - mmengine - INFO - Saving checkpoint at 92 epochs 2024/10/27 10:28:21 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:28:25 - mmengine - INFO - Epoch(train) [93][ 50/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:59:31 time: 0.2491 data_time: 0.0341 memory: 2049 grad_norm: 4.4115 loss: 4.1720 loss_cls: 2.7034 loss_bbox: 1.4687 2024/10/27 10:28:37 - mmengine - INFO - Epoch(train) [93][ 100/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:59:18 time: 0.2389 data_time: 0.0282 memory: 2049 grad_norm: 4.0927 loss: 4.1170 loss_cls: 2.6803 loss_bbox: 1.4367 2024/10/27 10:28:49 - mmengine - INFO - Epoch(train) [93][ 150/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:59:05 time: 0.2443 data_time: 0.0250 memory: 2049 grad_norm: 4.1781 loss: 4.1703 loss_cls: 2.6877 loss_bbox: 1.4826 2024/10/27 10:29:02 - mmengine - INFO - Epoch(train) [93][ 200/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:58:52 time: 0.2418 data_time: 0.0237 memory: 2049 grad_norm: 4.2570 loss: 4.1861 loss_cls: 2.7225 loss_bbox: 1.4637 2024/10/27 10:29:18 - mmengine - INFO - Epoch(train) [93][ 250/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:58:41 time: 0.3222 data_time: 0.0972 memory: 2049 grad_norm: 4.1426 loss: 4.1343 loss_cls: 2.7092 loss_bbox: 1.4251 2024/10/27 10:29:29 - mmengine - INFO - Epoch(train) [93][ 300/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:58:28 time: 0.2361 data_time: 0.0240 memory: 2049 grad_norm: 4.1772 loss: 4.1893 loss_cls: 2.6982 loss_bbox: 1.4911 2024/10/27 10:29:41 - mmengine - INFO - Epoch(train) [93][ 350/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:58:15 time: 0.2404 data_time: 0.0263 memory: 2049 grad_norm: 4.0508 loss: 4.2136 loss_cls: 2.7336 loss_bbox: 1.4800 2024/10/27 10:29:53 - mmengine - INFO - Epoch(train) [93][ 400/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:58:02 time: 0.2386 data_time: 0.0253 memory: 2049 grad_norm: 4.3165 loss: 4.1391 loss_cls: 2.6929 loss_bbox: 1.4462 2024/10/27 10:30:06 - mmengine - INFO - Epoch(train) [93][ 450/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:57:50 time: 0.2518 data_time: 0.0335 memory: 2049 grad_norm: 4.1592 loss: 4.1142 loss_cls: 2.6764 loss_bbox: 1.4378 2024/10/27 10:30:19 - mmengine - INFO - Epoch(train) [93][ 500/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:57:37 time: 0.2594 data_time: 0.0273 memory: 2049 grad_norm: 4.2582 loss: 4.1898 loss_cls: 2.6846 loss_bbox: 1.5052 2024/10/27 10:30:31 - mmengine - INFO - Epoch(train) [93][ 550/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:57:24 time: 0.2456 data_time: 0.0263 memory: 2049 grad_norm: 4.3000 loss: 4.2551 loss_cls: 2.7481 loss_bbox: 1.5070 2024/10/27 10:30:43 - mmengine - INFO - Epoch(train) [93][ 600/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:57:11 time: 0.2403 data_time: 0.0298 memory: 2049 grad_norm: 4.1344 loss: 4.0633 loss_cls: 2.6262 loss_bbox: 1.4372 2024/10/27 10:30:56 - mmengine - INFO - Epoch(train) [93][ 650/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:56:59 time: 0.2599 data_time: 0.0266 memory: 2049 grad_norm: 3.8842 loss: 4.0717 loss_cls: 2.6770 loss_bbox: 1.3947 2024/10/27 10:31:09 - mmengine - INFO - Epoch(train) [93][ 700/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:56:46 time: 0.2531 data_time: 0.0253 memory: 2049 grad_norm: 4.2833 loss: 3.9878 loss_cls: 2.6113 loss_bbox: 1.3765 2024/10/27 10:31:23 - mmengine - INFO - Epoch(train) [93][ 750/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:56:34 time: 0.2724 data_time: 0.0251 memory: 2049 grad_norm: 4.2210 loss: 4.2459 loss_cls: 2.7427 loss_bbox: 1.5032 2024/10/27 10:31:35 - mmengine - INFO - Epoch(train) [93][ 800/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:56:22 time: 0.2527 data_time: 0.0253 memory: 2049 grad_norm: 4.4930 loss: 4.2269 loss_cls: 2.7222 loss_bbox: 1.5047 2024/10/27 10:31:48 - mmengine - INFO - Epoch(train) [93][ 850/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:56:09 time: 0.2531 data_time: 0.0253 memory: 2049 grad_norm: 4.5195 loss: 4.0738 loss_cls: 2.6690 loss_bbox: 1.4048 2024/10/27 10:32:00 - mmengine - INFO - Epoch(train) [93][ 900/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:55:56 time: 0.2481 data_time: 0.0273 memory: 2049 grad_norm: 4.1474 loss: 4.0408 loss_cls: 2.6369 loss_bbox: 1.4039 2024/10/27 10:32:13 - mmengine - INFO - Epoch(train) [93][ 950/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:55:44 time: 0.2590 data_time: 0.0277 memory: 2049 grad_norm: 4.2717 loss: 4.2615 loss_cls: 2.7452 loss_bbox: 1.5163 2024/10/27 10:32:27 - mmengine - INFO - Epoch(train) [93][1000/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:55:31 time: 0.2620 data_time: 0.0261 memory: 2049 grad_norm: 4.1745 loss: 4.1306 loss_cls: 2.6641 loss_bbox: 1.4665 2024/10/27 10:32:34 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:32:39 - mmengine - INFO - Epoch(train) [93][1050/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:55:19 time: 0.2471 data_time: 0.0254 memory: 2049 grad_norm: 4.0406 loss: 4.1480 loss_cls: 2.6858 loss_bbox: 1.4623 2024/10/27 10:32:52 - mmengine - INFO - Epoch(train) [93][1100/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:55:06 time: 0.2585 data_time: 0.0323 memory: 2049 grad_norm: 4.1614 loss: 4.1011 loss_cls: 2.6478 loss_bbox: 1.4533 2024/10/27 10:33:04 - mmengine - INFO - Epoch(train) [93][1150/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:54:53 time: 0.2504 data_time: 0.0251 memory: 2049 grad_norm: 3.9765 loss: 4.1862 loss_cls: 2.7114 loss_bbox: 1.4748 2024/10/27 10:33:19 - mmengine - INFO - Epoch(train) [93][1200/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:54:42 time: 0.2969 data_time: 0.0486 memory: 2049 grad_norm: 4.4185 loss: 4.2279 loss_cls: 2.7252 loss_bbox: 1.5027 2024/10/27 10:33:33 - mmengine - INFO - Epoch(train) [93][1250/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:54:29 time: 0.2730 data_time: 0.0273 memory: 2049 grad_norm: 4.2788 loss: 4.1733 loss_cls: 2.6998 loss_bbox: 1.4735 2024/10/27 10:33:46 - mmengine - INFO - Epoch(train) [93][1300/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:54:17 time: 0.2638 data_time: 0.0250 memory: 2049 grad_norm: 4.2711 loss: 4.0938 loss_cls: 2.6671 loss_bbox: 1.4268 2024/10/27 10:34:00 - mmengine - INFO - Epoch(train) [93][1350/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:54:05 time: 0.2764 data_time: 0.0403 memory: 2049 grad_norm: 4.1238 loss: 4.2061 loss_cls: 2.6898 loss_bbox: 1.5163 2024/10/27 10:34:13 - mmengine - INFO - Epoch(train) [93][1400/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:53:52 time: 0.2597 data_time: 0.0301 memory: 2049 grad_norm: 3.9691 loss: 4.2008 loss_cls: 2.7153 loss_bbox: 1.4855 2024/10/27 10:34:26 - mmengine - INFO - Epoch(train) [93][1450/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:53:40 time: 0.2666 data_time: 0.0374 memory: 2049 grad_norm: 4.2567 loss: 4.1403 loss_cls: 2.6346 loss_bbox: 1.5056 2024/10/27 10:34:41 - mmengine - INFO - Epoch(train) [93][1500/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:53:28 time: 0.2848 data_time: 0.0343 memory: 2049 grad_norm: 3.9376 loss: 4.1982 loss_cls: 2.7065 loss_bbox: 1.4917 2024/10/27 10:34:54 - mmengine - INFO - Epoch(train) [93][1550/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:53:15 time: 0.2582 data_time: 0.0271 memory: 2049 grad_norm: 4.4042 loss: 4.1354 loss_cls: 2.7072 loss_bbox: 1.4282 2024/10/27 10:35:07 - mmengine - INFO - Epoch(train) [93][1600/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:53:03 time: 0.2748 data_time: 0.0246 memory: 2049 grad_norm: 4.2388 loss: 4.1899 loss_cls: 2.7105 loss_bbox: 1.4793 2024/10/27 10:35:20 - mmengine - INFO - Epoch(train) [93][1650/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:52:51 time: 0.2504 data_time: 0.0254 memory: 2049 grad_norm: 4.3250 loss: 4.0788 loss_cls: 2.6665 loss_bbox: 1.4124 2024/10/27 10:35:33 - mmengine - INFO - Epoch(train) [93][1700/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:52:38 time: 0.2649 data_time: 0.0274 memory: 2049 grad_norm: 4.5354 loss: 4.1821 loss_cls: 2.7090 loss_bbox: 1.4732 2024/10/27 10:35:47 - mmengine - INFO - Epoch(train) [93][1750/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:52:26 time: 0.2803 data_time: 0.0310 memory: 2049 grad_norm: 4.0322 loss: 4.1264 loss_cls: 2.6676 loss_bbox: 1.4588 2024/10/27 10:36:00 - mmengine - INFO - Epoch(train) [93][1800/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:52:13 time: 0.2553 data_time: 0.0251 memory: 2049 grad_norm: 4.3264 loss: 4.1980 loss_cls: 2.7262 loss_bbox: 1.4718 2024/10/27 10:36:14 - mmengine - INFO - Epoch(train) [93][1850/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:52:01 time: 0.2827 data_time: 0.0277 memory: 2049 grad_norm: 4.8818 loss: 4.1094 loss_cls: 2.6538 loss_bbox: 1.4556 2024/10/27 10:36:27 - mmengine - INFO - Epoch(train) [93][1900/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:51:49 time: 0.2509 data_time: 0.0257 memory: 2049 grad_norm: 4.1722 loss: 4.1938 loss_cls: 2.6769 loss_bbox: 1.5169 2024/10/27 10:36:40 - mmengine - INFO - Epoch(train) [93][1950/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:51:36 time: 0.2614 data_time: 0.0327 memory: 2049 grad_norm: 4.0611 loss: 4.1782 loss_cls: 2.7163 loss_bbox: 1.4619 2024/10/27 10:36:53 - mmengine - INFO - Epoch(train) [93][2000/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:51:24 time: 0.2662 data_time: 0.0253 memory: 2049 grad_norm: 4.4844 loss: 4.1419 loss_cls: 2.6926 loss_bbox: 1.4493 2024/10/27 10:37:01 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:37:06 - mmengine - INFO - Epoch(train) [93][2050/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:51:11 time: 0.2605 data_time: 0.0316 memory: 2049 grad_norm: 4.2125 loss: 4.1591 loss_cls: 2.6956 loss_bbox: 1.4635 2024/10/27 10:37:19 - mmengine - INFO - Epoch(train) [93][2100/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:50:59 time: 0.2673 data_time: 0.0244 memory: 2049 grad_norm: 4.0521 loss: 4.1565 loss_cls: 2.7092 loss_bbox: 1.4473 2024/10/27 10:37:32 - mmengine - INFO - Epoch(train) [93][2150/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:50:46 time: 0.2497 data_time: 0.0266 memory: 2049 grad_norm: 4.6384 loss: 4.3003 loss_cls: 2.7938 loss_bbox: 1.5066 2024/10/27 10:37:45 - mmengine - INFO - Epoch(train) [93][2200/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:50:34 time: 0.2581 data_time: 0.0250 memory: 2049 grad_norm: 4.0738 loss: 4.2623 loss_cls: 2.7554 loss_bbox: 1.5069 2024/10/27 10:37:59 - mmengine - INFO - Epoch(train) [93][2250/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:50:22 time: 0.2783 data_time: 0.0294 memory: 2049 grad_norm: 4.3486 loss: 4.2100 loss_cls: 2.7153 loss_bbox: 1.4948 2024/10/27 10:38:12 - mmengine - INFO - Epoch(train) [93][2300/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:50:09 time: 0.2664 data_time: 0.0241 memory: 2049 grad_norm: 4.2066 loss: 4.2229 loss_cls: 2.7336 loss_bbox: 1.4893 2024/10/27 10:38:27 - mmengine - INFO - Epoch(train) [93][2350/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:49:57 time: 0.2866 data_time: 0.0252 memory: 2049 grad_norm: 3.9327 loss: 4.0962 loss_cls: 2.6596 loss_bbox: 1.4367 2024/10/27 10:38:40 - mmengine - INFO - Epoch(train) [93][2400/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:49:45 time: 0.2777 data_time: 0.0330 memory: 2049 grad_norm: 4.0095 loss: 4.1152 loss_cls: 2.6783 loss_bbox: 1.4369 2024/10/27 10:38:54 - mmengine - INFO - Epoch(train) [93][2450/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:49:33 time: 0.2672 data_time: 0.0283 memory: 2049 grad_norm: 4.2059 loss: 4.1766 loss_cls: 2.7089 loss_bbox: 1.4677 2024/10/27 10:39:07 - mmengine - INFO - Epoch(train) [93][2500/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:49:21 time: 0.2703 data_time: 0.0327 memory: 2049 grad_norm: 4.3825 loss: 4.2617 loss_cls: 2.7168 loss_bbox: 1.5449 2024/10/27 10:39:20 - mmengine - INFO - Epoch(train) [93][2550/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:49:08 time: 0.2568 data_time: 0.0244 memory: 2049 grad_norm: 4.1266 loss: 4.1724 loss_cls: 2.6848 loss_bbox: 1.4876 2024/10/27 10:39:35 - mmengine - INFO - Epoch(train) [93][2600/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:48:56 time: 0.2907 data_time: 0.0246 memory: 2049 grad_norm: 4.1201 loss: 4.2006 loss_cls: 2.7197 loss_bbox: 1.4809 2024/10/27 10:39:47 - mmengine - INFO - Epoch(train) [93][2650/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:48:43 time: 0.2482 data_time: 0.0248 memory: 2049 grad_norm: 4.4143 loss: 4.0772 loss_cls: 2.6397 loss_bbox: 1.4375 2024/10/27 10:40:00 - mmengine - INFO - Epoch(train) [93][2700/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:48:31 time: 0.2592 data_time: 0.0318 memory: 2049 grad_norm: 4.3522 loss: 4.1279 loss_cls: 2.6748 loss_bbox: 1.4530 2024/10/27 10:40:13 - mmengine - INFO - Epoch(train) [93][2750/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:48:18 time: 0.2660 data_time: 0.0243 memory: 2049 grad_norm: 4.3853 loss: 4.0740 loss_cls: 2.6607 loss_bbox: 1.4133 2024/10/27 10:40:26 - mmengine - INFO - Epoch(train) [93][2800/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:48:06 time: 0.2580 data_time: 0.0259 memory: 2049 grad_norm: 3.9705 loss: 4.0546 loss_cls: 2.6539 loss_bbox: 1.4007 2024/10/27 10:40:40 - mmengine - INFO - Epoch(train) [93][2850/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:47:54 time: 0.2721 data_time: 0.0299 memory: 2049 grad_norm: 4.3566 loss: 4.1558 loss_cls: 2.7095 loss_bbox: 1.4463 2024/10/27 10:40:53 - mmengine - INFO - Epoch(train) [93][2900/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:47:41 time: 0.2649 data_time: 0.0240 memory: 2049 grad_norm: 4.0137 loss: 4.0474 loss_cls: 2.6173 loss_bbox: 1.4300 2024/10/27 10:41:07 - mmengine - INFO - Epoch(train) [93][2950/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:47:29 time: 0.2724 data_time: 0.0237 memory: 2049 grad_norm: 4.5331 loss: 4.2075 loss_cls: 2.7297 loss_bbox: 1.4778 2024/10/27 10:41:20 - mmengine - INFO - Epoch(train) [93][3000/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:47:16 time: 0.2582 data_time: 0.0223 memory: 2049 grad_norm: 4.4904 loss: 4.1758 loss_cls: 2.6861 loss_bbox: 1.4897 2024/10/27 10:41:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:41:32 - mmengine - INFO - Epoch(train) [93][3050/3054] base_lr: 1.0746e-03 lr: 1.0746e-03 eta: 5:47:04 time: 0.2397 data_time: 0.0222 memory: 2049 grad_norm: 3.8771 loss: 4.1331 loss_cls: 2.6574 loss_bbox: 1.4758 2024/10/27 10:41:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:41:33 - mmengine - INFO - Saving checkpoint at 93 epochs 2024/10/27 10:41:49 - mmengine - INFO - Epoch(train) [94][ 50/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:46:50 time: 0.2647 data_time: 0.0365 memory: 2049 grad_norm: 4.3245 loss: 4.1235 loss_cls: 2.6914 loss_bbox: 1.4321 2024/10/27 10:42:00 - mmengine - INFO - Epoch(train) [94][ 100/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:46:37 time: 0.2315 data_time: 0.0245 memory: 2049 grad_norm: 3.8008 loss: 4.2593 loss_cls: 2.7216 loss_bbox: 1.5376 2024/10/27 10:42:13 - mmengine - INFO - Epoch(train) [94][ 150/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:46:25 time: 0.2631 data_time: 0.0241 memory: 2049 grad_norm: 4.1292 loss: 4.1816 loss_cls: 2.7095 loss_bbox: 1.4721 2024/10/27 10:42:26 - mmengine - INFO - Epoch(train) [94][ 200/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:46:12 time: 0.2510 data_time: 0.0238 memory: 2049 grad_norm: 4.2011 loss: 4.1457 loss_cls: 2.6522 loss_bbox: 1.4936 2024/10/27 10:42:38 - mmengine - INFO - Epoch(train) [94][ 250/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:45:59 time: 0.2352 data_time: 0.0240 memory: 2049 grad_norm: 3.9884 loss: 4.1950 loss_cls: 2.7265 loss_bbox: 1.4686 2024/10/27 10:42:51 - mmengine - INFO - Epoch(train) [94][ 300/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:45:47 time: 0.2658 data_time: 0.0300 memory: 2049 grad_norm: 4.3364 loss: 4.0792 loss_cls: 2.6532 loss_bbox: 1.4259 2024/10/27 10:43:03 - mmengine - INFO - Epoch(train) [94][ 350/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:45:34 time: 0.2359 data_time: 0.0257 memory: 2049 grad_norm: 4.2291 loss: 4.1516 loss_cls: 2.6595 loss_bbox: 1.4920 2024/10/27 10:43:18 - mmengine - INFO - Epoch(train) [94][ 400/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:45:22 time: 0.3009 data_time: 0.0670 memory: 2049 grad_norm: 4.6244 loss: 4.1253 loss_cls: 2.6747 loss_bbox: 1.4506 2024/10/27 10:43:31 - mmengine - INFO - Epoch(train) [94][ 450/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:45:09 time: 0.2498 data_time: 0.0250 memory: 2049 grad_norm: 4.0254 loss: 4.1398 loss_cls: 2.7012 loss_bbox: 1.4386 2024/10/27 10:43:42 - mmengine - INFO - Epoch(train) [94][ 500/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:44:57 time: 0.2364 data_time: 0.0242 memory: 2049 grad_norm: 4.2948 loss: 4.1488 loss_cls: 2.7026 loss_bbox: 1.4462 2024/10/27 10:43:56 - mmengine - INFO - Epoch(train) [94][ 550/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:44:44 time: 0.2741 data_time: 0.0342 memory: 2049 grad_norm: 4.2793 loss: 4.0792 loss_cls: 2.6306 loss_bbox: 1.4486 2024/10/27 10:44:08 - mmengine - INFO - Epoch(train) [94][ 600/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:44:31 time: 0.2411 data_time: 0.0300 memory: 2049 grad_norm: 4.5863 loss: 4.0776 loss_cls: 2.6577 loss_bbox: 1.4199 2024/10/27 10:44:21 - mmengine - INFO - Epoch(train) [94][ 650/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:44:19 time: 0.2609 data_time: 0.0360 memory: 2049 grad_norm: 4.3136 loss: 4.0536 loss_cls: 2.6232 loss_bbox: 1.4304 2024/10/27 10:44:34 - mmengine - INFO - Epoch(train) [94][ 700/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:44:06 time: 0.2564 data_time: 0.0366 memory: 2049 grad_norm: 4.2399 loss: 4.1734 loss_cls: 2.7013 loss_bbox: 1.4720 2024/10/27 10:44:46 - mmengine - INFO - Epoch(train) [94][ 750/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:43:53 time: 0.2328 data_time: 0.0243 memory: 2049 grad_norm: 4.2627 loss: 4.1497 loss_cls: 2.6684 loss_bbox: 1.4813 2024/10/27 10:44:59 - mmengine - INFO - Epoch(train) [94][ 800/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:43:41 time: 0.2680 data_time: 0.0362 memory: 2049 grad_norm: 4.4359 loss: 4.0416 loss_cls: 2.6112 loss_bbox: 1.4304 2024/10/27 10:45:11 - mmengine - INFO - Epoch(train) [94][ 850/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:43:28 time: 0.2339 data_time: 0.0289 memory: 2049 grad_norm: 4.3211 loss: 4.0898 loss_cls: 2.6524 loss_bbox: 1.4373 2024/10/27 10:45:23 - mmengine - INFO - Epoch(train) [94][ 900/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:43:15 time: 0.2503 data_time: 0.0337 memory: 2049 grad_norm: 4.6241 loss: 4.0391 loss_cls: 2.6286 loss_bbox: 1.4105 2024/10/27 10:45:36 - mmengine - INFO - Epoch(train) [94][ 950/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:43:03 time: 0.2522 data_time: 0.0297 memory: 2049 grad_norm: 3.9016 loss: 4.1326 loss_cls: 2.6612 loss_bbox: 1.4714 2024/10/27 10:45:42 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:45:48 - mmengine - INFO - Epoch(train) [94][1000/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:42:50 time: 0.2296 data_time: 0.0240 memory: 2049 grad_norm: 4.2543 loss: 4.0971 loss_cls: 2.6773 loss_bbox: 1.4197 2024/10/27 10:46:00 - mmengine - INFO - Epoch(train) [94][1050/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:42:37 time: 0.2566 data_time: 0.0247 memory: 2049 grad_norm: 4.2658 loss: 4.0927 loss_cls: 2.6653 loss_bbox: 1.4274 2024/10/27 10:46:17 - mmengine - INFO - Epoch(train) [94][1100/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:42:26 time: 0.3287 data_time: 0.1137 memory: 2049 grad_norm: 4.1463 loss: 4.0405 loss_cls: 2.6133 loss_bbox: 1.4272 2024/10/27 10:46:29 - mmengine - INFO - Epoch(train) [94][1150/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:42:13 time: 0.2510 data_time: 0.0240 memory: 2049 grad_norm: 4.6147 loss: 4.0941 loss_cls: 2.6563 loss_bbox: 1.4378 2024/10/27 10:46:42 - mmengine - INFO - Epoch(train) [94][1200/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:42:01 time: 0.2488 data_time: 0.0243 memory: 2049 grad_norm: 4.1310 loss: 4.1500 loss_cls: 2.6820 loss_bbox: 1.4680 2024/10/27 10:46:54 - mmengine - INFO - Epoch(train) [94][1250/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:41:48 time: 0.2490 data_time: 0.0259 memory: 2049 grad_norm: 4.3059 loss: 4.0477 loss_cls: 2.6672 loss_bbox: 1.3805 2024/10/27 10:47:07 - mmengine - INFO - Epoch(train) [94][1300/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:41:35 time: 0.2486 data_time: 0.0241 memory: 2049 grad_norm: 4.2716 loss: 4.2112 loss_cls: 2.7447 loss_bbox: 1.4665 2024/10/27 10:47:19 - mmengine - INFO - Epoch(train) [94][1350/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:41:22 time: 0.2361 data_time: 0.0249 memory: 2049 grad_norm: 4.3205 loss: 4.2229 loss_cls: 2.7277 loss_bbox: 1.4952 2024/10/27 10:47:32 - mmengine - INFO - Epoch(train) [94][1400/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:41:10 time: 0.2612 data_time: 0.0337 memory: 2049 grad_norm: 4.4955 loss: 4.1026 loss_cls: 2.6694 loss_bbox: 1.4332 2024/10/27 10:47:44 - mmengine - INFO - Epoch(train) [94][1450/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:40:57 time: 0.2488 data_time: 0.0237 memory: 2049 grad_norm: 4.0240 loss: 3.9603 loss_cls: 2.5914 loss_bbox: 1.3689 2024/10/27 10:47:57 - mmengine - INFO - Epoch(train) [94][1500/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:40:45 time: 0.2528 data_time: 0.0299 memory: 2049 grad_norm: 3.9777 loss: 4.1359 loss_cls: 2.6774 loss_bbox: 1.4584 2024/10/27 10:48:09 - mmengine - INFO - Epoch(train) [94][1550/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:40:32 time: 0.2430 data_time: 0.0269 memory: 2049 grad_norm: 4.3276 loss: 4.1285 loss_cls: 2.6346 loss_bbox: 1.4939 2024/10/27 10:48:21 - mmengine - INFO - Epoch(train) [94][1600/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:40:19 time: 0.2387 data_time: 0.0266 memory: 2049 grad_norm: 4.4366 loss: 4.0886 loss_cls: 2.6391 loss_bbox: 1.4495 2024/10/27 10:48:34 - mmengine - INFO - Epoch(train) [94][1650/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:40:06 time: 0.2528 data_time: 0.0239 memory: 2049 grad_norm: 4.1238 loss: 4.1749 loss_cls: 2.6988 loss_bbox: 1.4761 2024/10/27 10:48:46 - mmengine - INFO - Epoch(train) [94][1700/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:39:54 time: 0.2496 data_time: 0.0258 memory: 2049 grad_norm: 4.1983 loss: 4.0418 loss_cls: 2.6399 loss_bbox: 1.4018 2024/10/27 10:48:58 - mmengine - INFO - Epoch(train) [94][1750/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:39:41 time: 0.2433 data_time: 0.0315 memory: 2049 grad_norm: 4.3307 loss: 4.2136 loss_cls: 2.7307 loss_bbox: 1.4829 2024/10/27 10:49:11 - mmengine - INFO - Epoch(train) [94][1800/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:39:28 time: 0.2506 data_time: 0.0247 memory: 2049 grad_norm: 4.3007 loss: 4.2136 loss_cls: 2.7125 loss_bbox: 1.5011 2024/10/27 10:49:23 - mmengine - INFO - Epoch(train) [94][1850/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:39:15 time: 0.2521 data_time: 0.0310 memory: 2049 grad_norm: 4.4970 loss: 4.0937 loss_cls: 2.6614 loss_bbox: 1.4323 2024/10/27 10:49:37 - mmengine - INFO - Epoch(train) [94][1900/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:39:03 time: 0.2613 data_time: 0.0240 memory: 2049 grad_norm: 4.3267 loss: 4.2224 loss_cls: 2.7237 loss_bbox: 1.4987 2024/10/27 10:49:49 - mmengine - INFO - Epoch(train) [94][1950/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:38:50 time: 0.2512 data_time: 0.0236 memory: 2049 grad_norm: 4.3239 loss: 4.1093 loss_cls: 2.6391 loss_bbox: 1.4702 2024/10/27 10:49:56 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:50:02 - mmengine - INFO - Epoch(train) [94][2000/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:38:38 time: 0.2512 data_time: 0.0321 memory: 2049 grad_norm: 4.3748 loss: 4.1023 loss_cls: 2.6434 loss_bbox: 1.4589 2024/10/27 10:50:18 - mmengine - INFO - Epoch(train) [94][2050/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:38:26 time: 0.3249 data_time: 0.1018 memory: 2049 grad_norm: 4.1160 loss: 4.1280 loss_cls: 2.6753 loss_bbox: 1.4527 2024/10/27 10:50:31 - mmengine - INFO - Epoch(train) [94][2100/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:38:14 time: 0.2525 data_time: 0.0249 memory: 2049 grad_norm: 3.9547 loss: 4.1318 loss_cls: 2.6811 loss_bbox: 1.4507 2024/10/27 10:50:43 - mmengine - INFO - Epoch(train) [94][2150/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:38:01 time: 0.2560 data_time: 0.0307 memory: 2049 grad_norm: 4.2728 loss: 4.1348 loss_cls: 2.6595 loss_bbox: 1.4753 2024/10/27 10:50:57 - mmengine - INFO - Epoch(train) [94][2200/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:37:49 time: 0.2609 data_time: 0.0280 memory: 2049 grad_norm: 4.2621 loss: 4.1397 loss_cls: 2.6762 loss_bbox: 1.4636 2024/10/27 10:51:09 - mmengine - INFO - Epoch(train) [94][2250/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:37:36 time: 0.2446 data_time: 0.0240 memory: 2049 grad_norm: 4.1482 loss: 4.1390 loss_cls: 2.6687 loss_bbox: 1.4703 2024/10/27 10:51:21 - mmengine - INFO - Epoch(train) [94][2300/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:37:23 time: 0.2463 data_time: 0.0238 memory: 2049 grad_norm: 4.1446 loss: 4.1626 loss_cls: 2.6789 loss_bbox: 1.4837 2024/10/27 10:51:34 - mmengine - INFO - Epoch(train) [94][2350/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:37:11 time: 0.2534 data_time: 0.0344 memory: 2049 grad_norm: 4.2096 loss: 4.0449 loss_cls: 2.6413 loss_bbox: 1.4036 2024/10/27 10:51:47 - mmengine - INFO - Epoch(train) [94][2400/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:36:58 time: 0.2602 data_time: 0.0316 memory: 2049 grad_norm: 4.5669 loss: 4.2407 loss_cls: 2.7141 loss_bbox: 1.5266 2024/10/27 10:51:59 - mmengine - INFO - Epoch(train) [94][2450/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:36:45 time: 0.2530 data_time: 0.0254 memory: 2049 grad_norm: 4.4620 loss: 4.1312 loss_cls: 2.6810 loss_bbox: 1.4502 2024/10/27 10:52:12 - mmengine - INFO - Epoch(train) [94][2500/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:36:33 time: 0.2528 data_time: 0.0253 memory: 2049 grad_norm: 4.1517 loss: 4.0567 loss_cls: 2.6369 loss_bbox: 1.4199 2024/10/27 10:52:25 - mmengine - INFO - Epoch(train) [94][2550/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:36:20 time: 0.2549 data_time: 0.0270 memory: 2049 grad_norm: 4.4217 loss: 4.1596 loss_cls: 2.7048 loss_bbox: 1.4548 2024/10/27 10:52:37 - mmengine - INFO - Epoch(train) [94][2600/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:36:08 time: 0.2500 data_time: 0.0241 memory: 2049 grad_norm: 4.3242 loss: 4.0789 loss_cls: 2.6736 loss_bbox: 1.4052 2024/10/27 10:52:51 - mmengine - INFO - Epoch(train) [94][2650/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:35:55 time: 0.2691 data_time: 0.0321 memory: 2049 grad_norm: 4.5288 loss: 4.2286 loss_cls: 2.7150 loss_bbox: 1.5137 2024/10/27 10:53:04 - mmengine - INFO - Epoch(train) [94][2700/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:35:43 time: 0.2518 data_time: 0.0242 memory: 2049 grad_norm: 4.2769 loss: 4.1850 loss_cls: 2.6919 loss_bbox: 1.4930 2024/10/27 10:53:19 - mmengine - INFO - Epoch(train) [94][2750/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:35:31 time: 0.2999 data_time: 0.0797 memory: 2049 grad_norm: 4.6061 loss: 4.1553 loss_cls: 2.6724 loss_bbox: 1.4829 2024/10/27 10:53:31 - mmengine - INFO - Epoch(train) [94][2800/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:35:18 time: 0.2504 data_time: 0.0241 memory: 2049 grad_norm: 4.3940 loss: 4.0633 loss_cls: 2.6439 loss_bbox: 1.4194 2024/10/27 10:53:43 - mmengine - INFO - Epoch(train) [94][2850/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:35:05 time: 0.2477 data_time: 0.0242 memory: 2049 grad_norm: 4.2322 loss: 4.0877 loss_cls: 2.6607 loss_bbox: 1.4271 2024/10/27 10:53:56 - mmengine - INFO - Epoch(train) [94][2900/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:34:53 time: 0.2593 data_time: 0.0243 memory: 2049 grad_norm: 4.0740 loss: 4.0240 loss_cls: 2.6023 loss_bbox: 1.4218 2024/10/27 10:54:09 - mmengine - INFO - Epoch(train) [94][2950/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:34:40 time: 0.2586 data_time: 0.0245 memory: 2049 grad_norm: 4.0176 loss: 4.0955 loss_cls: 2.6570 loss_bbox: 1.4385 2024/10/27 10:54:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:54:22 - mmengine - INFO - Epoch(train) [94][3000/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:34:28 time: 0.2581 data_time: 0.0268 memory: 2049 grad_norm: 4.2326 loss: 4.1316 loss_cls: 2.6835 loss_bbox: 1.4481 2024/10/27 10:54:35 - mmengine - INFO - Epoch(train) [94][3050/3054] base_lr: 1.0123e-03 lr: 1.0123e-03 eta: 5:34:15 time: 0.2562 data_time: 0.0258 memory: 2049 grad_norm: 4.0398 loss: 4.1418 loss_cls: 2.6862 loss_bbox: 1.4556 2024/10/27 10:54:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:54:36 - mmengine - INFO - Saving checkpoint at 94 epochs 2024/10/27 10:54:51 - mmengine - INFO - Epoch(train) [95][ 50/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:34:02 time: 0.2626 data_time: 0.0359 memory: 2049 grad_norm: 4.3432 loss: 4.0793 loss_cls: 2.6254 loss_bbox: 1.4538 2024/10/27 10:55:04 - mmengine - INFO - Epoch(train) [95][ 100/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:33:49 time: 0.2440 data_time: 0.0268 memory: 2049 grad_norm: 4.4757 loss: 4.0149 loss_cls: 2.5987 loss_bbox: 1.4163 2024/10/27 10:55:18 - mmengine - INFO - Epoch(train) [95][ 150/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:33:37 time: 0.2830 data_time: 0.0573 memory: 2049 grad_norm: 4.3475 loss: 4.0512 loss_cls: 2.6241 loss_bbox: 1.4271 2024/10/27 10:55:31 - mmengine - INFO - Epoch(train) [95][ 200/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:33:24 time: 0.2526 data_time: 0.0329 memory: 2049 grad_norm: 4.2386 loss: 4.2046 loss_cls: 2.7216 loss_bbox: 1.4830 2024/10/27 10:55:43 - mmengine - INFO - Epoch(train) [95][ 250/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:33:12 time: 0.2500 data_time: 0.0251 memory: 2049 grad_norm: 4.1503 loss: 3.9680 loss_cls: 2.6089 loss_bbox: 1.3591 2024/10/27 10:55:55 - mmengine - INFO - Epoch(train) [95][ 300/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:32:59 time: 0.2413 data_time: 0.0259 memory: 2049 grad_norm: 4.2479 loss: 4.1200 loss_cls: 2.6663 loss_bbox: 1.4537 2024/10/27 10:56:08 - mmengine - INFO - Epoch(train) [95][ 350/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:32:46 time: 0.2617 data_time: 0.0304 memory: 2049 grad_norm: 4.1610 loss: 4.0431 loss_cls: 2.6144 loss_bbox: 1.4287 2024/10/27 10:56:20 - mmengine - INFO - Epoch(train) [95][ 400/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:32:33 time: 0.2432 data_time: 0.0261 memory: 2049 grad_norm: 4.4383 loss: 4.1227 loss_cls: 2.6446 loss_bbox: 1.4781 2024/10/27 10:56:33 - mmengine - INFO - Epoch(train) [95][ 450/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:32:21 time: 0.2469 data_time: 0.0296 memory: 2049 grad_norm: 4.0806 loss: 4.1256 loss_cls: 2.6860 loss_bbox: 1.4397 2024/10/27 10:56:45 - mmengine - INFO - Epoch(train) [95][ 500/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:32:08 time: 0.2462 data_time: 0.0255 memory: 2049 grad_norm: 4.0865 loss: 4.0986 loss_cls: 2.6473 loss_bbox: 1.4513 2024/10/27 10:56:57 - mmengine - INFO - Epoch(train) [95][ 550/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:31:55 time: 0.2459 data_time: 0.0257 memory: 2049 grad_norm: 4.2974 loss: 4.0623 loss_cls: 2.6436 loss_bbox: 1.4187 2024/10/27 10:57:11 - mmengine - INFO - Epoch(train) [95][ 600/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:31:43 time: 0.2700 data_time: 0.0329 memory: 2049 grad_norm: 4.2831 loss: 4.0689 loss_cls: 2.6467 loss_bbox: 1.4222 2024/10/27 10:57:23 - mmengine - INFO - Epoch(train) [95][ 650/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:31:30 time: 0.2455 data_time: 0.0300 memory: 2049 grad_norm: 4.4147 loss: 4.1339 loss_cls: 2.6949 loss_bbox: 1.4390 2024/10/27 10:57:36 - mmengine - INFO - Epoch(train) [95][ 700/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:31:18 time: 0.2604 data_time: 0.0249 memory: 2049 grad_norm: 4.4117 loss: 4.1184 loss_cls: 2.6706 loss_bbox: 1.4478 2024/10/27 10:57:49 - mmengine - INFO - Epoch(train) [95][ 750/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:31:05 time: 0.2517 data_time: 0.0275 memory: 2049 grad_norm: 4.4786 loss: 4.1128 loss_cls: 2.6628 loss_bbox: 1.4500 2024/10/27 10:58:01 - mmengine - INFO - Epoch(train) [95][ 800/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:30:52 time: 0.2404 data_time: 0.0248 memory: 2049 grad_norm: 4.1788 loss: 4.2541 loss_cls: 2.7389 loss_bbox: 1.5152 2024/10/27 10:58:15 - mmengine - INFO - Epoch(train) [95][ 850/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:30:40 time: 0.2748 data_time: 0.0267 memory: 2049 grad_norm: 4.5107 loss: 4.0814 loss_cls: 2.6797 loss_bbox: 1.4017 2024/10/27 10:58:27 - mmengine - INFO - Epoch(train) [95][ 900/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:30:27 time: 0.2393 data_time: 0.0254 memory: 2049 grad_norm: 4.2233 loss: 4.1059 loss_cls: 2.6479 loss_bbox: 1.4580 2024/10/27 10:58:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 10:58:40 - mmengine - INFO - Epoch(train) [95][ 950/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:30:15 time: 0.2653 data_time: 0.0268 memory: 2049 grad_norm: 4.1317 loss: 4.1242 loss_cls: 2.6746 loss_bbox: 1.4496 2024/10/27 10:58:53 - mmengine - INFO - Epoch(train) [95][1000/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:30:02 time: 0.2557 data_time: 0.0334 memory: 2049 grad_norm: 4.0137 loss: 4.0951 loss_cls: 2.6219 loss_bbox: 1.4732 2024/10/27 10:59:05 - mmengine - INFO - Epoch(train) [95][1050/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:29:49 time: 0.2387 data_time: 0.0247 memory: 2049 grad_norm: 4.0855 loss: 4.1696 loss_cls: 2.6944 loss_bbox: 1.4752 2024/10/27 10:59:19 - mmengine - INFO - Epoch(train) [95][1100/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:29:37 time: 0.2854 data_time: 0.0475 memory: 2049 grad_norm: 4.5133 loss: 4.0760 loss_cls: 2.6456 loss_bbox: 1.4304 2024/10/27 10:59:31 - mmengine - INFO - Epoch(train) [95][1150/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:29:24 time: 0.2417 data_time: 0.0329 memory: 2049 grad_norm: 4.2560 loss: 4.0426 loss_cls: 2.6374 loss_bbox: 1.4052 2024/10/27 10:59:44 - mmengine - INFO - Epoch(train) [95][1200/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:29:12 time: 0.2671 data_time: 0.0352 memory: 2049 grad_norm: 3.9698 loss: 4.0529 loss_cls: 2.6190 loss_bbox: 1.4339 2024/10/27 10:59:57 - mmengine - INFO - Epoch(train) [95][1250/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:28:59 time: 0.2570 data_time: 0.0262 memory: 2049 grad_norm: 4.3061 loss: 4.2138 loss_cls: 2.7462 loss_bbox: 1.4676 2024/10/27 11:00:10 - mmengine - INFO - Epoch(train) [95][1300/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:28:47 time: 0.2517 data_time: 0.0287 memory: 2049 grad_norm: 4.6360 loss: 4.0445 loss_cls: 2.6588 loss_bbox: 1.3857 2024/10/27 11:00:23 - mmengine - INFO - Epoch(train) [95][1350/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:28:34 time: 0.2690 data_time: 0.0381 memory: 2049 grad_norm: 4.0671 loss: 4.0777 loss_cls: 2.6475 loss_bbox: 1.4303 2024/10/27 11:00:35 - mmengine - INFO - Epoch(train) [95][1400/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:28:22 time: 0.2368 data_time: 0.0224 memory: 2049 grad_norm: 4.6584 loss: 4.0940 loss_cls: 2.6572 loss_bbox: 1.4368 2024/10/27 11:00:49 - mmengine - INFO - Epoch(train) [95][1450/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:28:09 time: 0.2663 data_time: 0.0240 memory: 2049 grad_norm: 4.5695 loss: 4.1196 loss_cls: 2.6817 loss_bbox: 1.4379 2024/10/27 11:01:01 - mmengine - INFO - Epoch(train) [95][1500/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:27:56 time: 0.2479 data_time: 0.0237 memory: 2049 grad_norm: 4.3041 loss: 4.1962 loss_cls: 2.6939 loss_bbox: 1.5023 2024/10/27 11:01:14 - mmengine - INFO - Epoch(train) [95][1550/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:27:44 time: 0.2511 data_time: 0.0256 memory: 2049 grad_norm: 4.3235 loss: 4.1766 loss_cls: 2.6858 loss_bbox: 1.4908 2024/10/27 11:01:27 - mmengine - INFO - Epoch(train) [95][1600/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:27:31 time: 0.2620 data_time: 0.0295 memory: 2049 grad_norm: 4.3850 loss: 4.0756 loss_cls: 2.6494 loss_bbox: 1.4261 2024/10/27 11:01:39 - mmengine - INFO - Epoch(train) [95][1650/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:27:18 time: 0.2425 data_time: 0.0259 memory: 2049 grad_norm: 4.0559 loss: 4.1057 loss_cls: 2.6778 loss_bbox: 1.4278 2024/10/27 11:01:52 - mmengine - INFO - Epoch(train) [95][1700/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:27:06 time: 0.2606 data_time: 0.0220 memory: 2049 grad_norm: 4.1980 loss: 4.0703 loss_cls: 2.6350 loss_bbox: 1.4353 2024/10/27 11:02:04 - mmengine - INFO - Epoch(train) [95][1750/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:26:53 time: 0.2447 data_time: 0.0221 memory: 2049 grad_norm: 4.4945 loss: 4.1435 loss_cls: 2.6681 loss_bbox: 1.4754 2024/10/27 11:02:18 - mmengine - INFO - Epoch(train) [95][1800/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:26:41 time: 0.2735 data_time: 0.0481 memory: 2049 grad_norm: 4.1153 loss: 4.1923 loss_cls: 2.7009 loss_bbox: 1.4914 2024/10/27 11:02:31 - mmengine - INFO - Epoch(train) [95][1850/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:26:28 time: 0.2617 data_time: 0.0239 memory: 2049 grad_norm: 4.2198 loss: 4.1069 loss_cls: 2.6217 loss_bbox: 1.4853 2024/10/27 11:02:43 - mmengine - INFO - Epoch(train) [95][1900/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:26:16 time: 0.2407 data_time: 0.0224 memory: 2049 grad_norm: 4.3670 loss: 4.1530 loss_cls: 2.6704 loss_bbox: 1.4825 2024/10/27 11:02:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:02:56 - mmengine - INFO - Epoch(train) [95][1950/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:26:03 time: 0.2645 data_time: 0.0228 memory: 2049 grad_norm: 4.2393 loss: 4.0829 loss_cls: 2.6365 loss_bbox: 1.4464 2024/10/27 11:03:09 - mmengine - INFO - Epoch(train) [95][2000/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:25:51 time: 0.2495 data_time: 0.0227 memory: 2049 grad_norm: 4.2965 loss: 4.0392 loss_cls: 2.6421 loss_bbox: 1.3971 2024/10/27 11:03:21 - mmengine - INFO - Epoch(train) [95][2050/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:25:38 time: 0.2496 data_time: 0.0223 memory: 2049 grad_norm: 4.1690 loss: 4.0687 loss_cls: 2.6504 loss_bbox: 1.4183 2024/10/27 11:03:34 - mmengine - INFO - Epoch(train) [95][2100/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:25:25 time: 0.2589 data_time: 0.0288 memory: 2049 grad_norm: 4.5235 loss: 4.1474 loss_cls: 2.6821 loss_bbox: 1.4653 2024/10/27 11:03:46 - mmengine - INFO - Epoch(train) [95][2150/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:25:13 time: 0.2436 data_time: 0.0236 memory: 2049 grad_norm: 4.5629 loss: 4.1409 loss_cls: 2.6770 loss_bbox: 1.4639 2024/10/27 11:03:59 - mmengine - INFO - Epoch(train) [95][2200/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:25:00 time: 0.2640 data_time: 0.0220 memory: 2049 grad_norm: 4.2776 loss: 4.1359 loss_cls: 2.6764 loss_bbox: 1.4595 2024/10/27 11:04:12 - mmengine - INFO - Epoch(train) [95][2250/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:24:47 time: 0.2461 data_time: 0.0224 memory: 2049 grad_norm: 4.2757 loss: 4.1658 loss_cls: 2.6892 loss_bbox: 1.4766 2024/10/27 11:04:25 - mmengine - INFO - Epoch(train) [95][2300/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:24:35 time: 0.2549 data_time: 0.0229 memory: 2049 grad_norm: 4.6870 loss: 4.1424 loss_cls: 2.6737 loss_bbox: 1.4687 2024/10/27 11:04:37 - mmengine - INFO - Epoch(train) [95][2350/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:24:22 time: 0.2557 data_time: 0.0228 memory: 2049 grad_norm: 4.0852 loss: 4.0311 loss_cls: 2.6276 loss_bbox: 1.4034 2024/10/27 11:04:49 - mmengine - INFO - Epoch(train) [95][2400/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:24:09 time: 0.2405 data_time: 0.0233 memory: 2049 grad_norm: 4.3851 loss: 4.0399 loss_cls: 2.6306 loss_bbox: 1.4093 2024/10/27 11:05:03 - mmengine - INFO - Epoch(train) [95][2450/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:23:57 time: 0.2687 data_time: 0.0238 memory: 2049 grad_norm: 4.0449 loss: 4.1141 loss_cls: 2.6524 loss_bbox: 1.4617 2024/10/27 11:05:18 - mmengine - INFO - Epoch(train) [95][2500/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:23:45 time: 0.3009 data_time: 0.0749 memory: 2049 grad_norm: 4.1407 loss: 4.2484 loss_cls: 2.7234 loss_bbox: 1.5249 2024/10/27 11:05:31 - mmengine - INFO - Epoch(train) [95][2550/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:23:33 time: 0.2567 data_time: 0.0232 memory: 2049 grad_norm: 4.5662 loss: 4.1845 loss_cls: 2.7097 loss_bbox: 1.4749 2024/10/27 11:05:44 - mmengine - INFO - Epoch(train) [95][2600/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:23:20 time: 0.2703 data_time: 0.0347 memory: 2049 grad_norm: 4.3444 loss: 4.0278 loss_cls: 2.5981 loss_bbox: 1.4298 2024/10/27 11:05:57 - mmengine - INFO - Epoch(train) [95][2650/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:23:08 time: 0.2531 data_time: 0.0221 memory: 2049 grad_norm: 4.3952 loss: 3.9461 loss_cls: 2.5628 loss_bbox: 1.3833 2024/10/27 11:06:10 - mmengine - INFO - Epoch(train) [95][2700/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:22:55 time: 0.2583 data_time: 0.0233 memory: 2049 grad_norm: 4.0687 loss: 4.1194 loss_cls: 2.6601 loss_bbox: 1.4593 2024/10/27 11:06:23 - mmengine - INFO - Epoch(train) [95][2750/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:22:43 time: 0.2591 data_time: 0.0276 memory: 2049 grad_norm: 4.6206 loss: 4.0504 loss_cls: 2.5997 loss_bbox: 1.4506 2024/10/27 11:06:36 - mmengine - INFO - Epoch(train) [95][2800/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:22:30 time: 0.2608 data_time: 0.0231 memory: 2049 grad_norm: 4.2823 loss: 4.1065 loss_cls: 2.6413 loss_bbox: 1.4652 2024/10/27 11:06:49 - mmengine - INFO - Epoch(train) [95][2850/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:22:18 time: 0.2588 data_time: 0.0234 memory: 2049 grad_norm: 4.4428 loss: 4.0697 loss_cls: 2.6487 loss_bbox: 1.4210 2024/10/27 11:07:01 - mmengine - INFO - Epoch(train) [95][2900/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:22:05 time: 0.2497 data_time: 0.0237 memory: 2049 grad_norm: 4.1429 loss: 4.0863 loss_cls: 2.6402 loss_bbox: 1.4461 2024/10/27 11:07:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:07:18 - mmengine - INFO - Epoch(train) [95][2950/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:21:54 time: 0.3359 data_time: 0.1014 memory: 2049 grad_norm: 4.4585 loss: 4.2388 loss_cls: 2.6884 loss_bbox: 1.5505 2024/10/27 11:07:31 - mmengine - INFO - Epoch(train) [95][3000/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:21:41 time: 0.2565 data_time: 0.0240 memory: 2049 grad_norm: 4.4032 loss: 4.0179 loss_cls: 2.5986 loss_bbox: 1.4192 2024/10/27 11:07:44 - mmengine - INFO - Epoch(train) [95][3050/3054] base_lr: 9.5051e-04 lr: 9.5051e-04 eta: 5:21:29 time: 0.2662 data_time: 0.0237 memory: 2049 grad_norm: 4.5198 loss: 4.1527 loss_cls: 2.6825 loss_bbox: 1.4702 2024/10/27 11:07:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:07:45 - mmengine - INFO - Saving checkpoint at 95 epochs 2024/10/27 11:07:50 - mmengine - INFO - Epoch(val) [95][50/79] eta: 0:00:01 time: 0.0406 data_time: 0.0048 memory: 2049 2024/10/27 11:08:01 - mmengine - INFO - Evaluating bbox... 2024/10/27 11:08:59 - mmengine - INFO - bbox_mAP_copypaste: 0.207 0.350 0.212 0.024 0.195 0.412 2024/10/27 11:09:00 - mmengine - INFO - Epoch(val) [95][79/79] coco/bbox_mAP: 0.2070 coco/bbox_mAP_50: 0.3500 coco/bbox_mAP_75: 0.2120 coco/bbox_mAP_s: 0.0240 coco/bbox_mAP_m: 0.1950 coco/bbox_mAP_l: 0.4120 data_time: 0.0044 time: 0.0397 2024/10/27 11:09:12 - mmengine - INFO - Epoch(train) [96][ 50/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:21:15 time: 0.2531 data_time: 0.0370 memory: 2049 grad_norm: 4.5331 loss: 3.9992 loss_cls: 2.5750 loss_bbox: 1.4242 2024/10/27 11:09:25 - mmengine - INFO - Epoch(train) [96][ 100/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:21:02 time: 0.2406 data_time: 0.0254 memory: 2049 grad_norm: 4.2141 loss: 4.0687 loss_cls: 2.6238 loss_bbox: 1.4449 2024/10/27 11:09:37 - mmengine - INFO - Epoch(train) [96][ 150/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:20:49 time: 0.2424 data_time: 0.0239 memory: 2049 grad_norm: 4.3525 loss: 3.9870 loss_cls: 2.5647 loss_bbox: 1.4223 2024/10/27 11:09:48 - mmengine - INFO - Epoch(train) [96][ 200/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:20:36 time: 0.2302 data_time: 0.0236 memory: 2049 grad_norm: 4.3802 loss: 4.0396 loss_cls: 2.5928 loss_bbox: 1.4467 2024/10/27 11:10:01 - mmengine - INFO - Epoch(train) [96][ 250/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:20:24 time: 0.2501 data_time: 0.0232 memory: 2049 grad_norm: 4.0384 loss: 4.0489 loss_cls: 2.6287 loss_bbox: 1.4202 2024/10/27 11:10:13 - mmengine - INFO - Epoch(train) [96][ 300/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:20:11 time: 0.2424 data_time: 0.0278 memory: 2049 grad_norm: 4.3348 loss: 4.0624 loss_cls: 2.6356 loss_bbox: 1.4268 2024/10/27 11:10:25 - mmengine - INFO - Epoch(train) [96][ 350/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:19:58 time: 0.2387 data_time: 0.0252 memory: 2049 grad_norm: 4.6390 loss: 4.1506 loss_cls: 2.6721 loss_bbox: 1.4785 2024/10/27 11:10:37 - mmengine - INFO - Epoch(train) [96][ 400/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:19:45 time: 0.2473 data_time: 0.0245 memory: 2049 grad_norm: 4.5044 loss: 4.0363 loss_cls: 2.6100 loss_bbox: 1.4263 2024/10/27 11:10:49 - mmengine - INFO - Epoch(train) [96][ 450/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:19:32 time: 0.2427 data_time: 0.0239 memory: 2049 grad_norm: 4.4826 loss: 4.0318 loss_cls: 2.5944 loss_bbox: 1.4374 2024/10/27 11:11:02 - mmengine - INFO - Epoch(train) [96][ 500/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:19:20 time: 0.2565 data_time: 0.0239 memory: 2049 grad_norm: 4.3366 loss: 3.9985 loss_cls: 2.5886 loss_bbox: 1.4099 2024/10/27 11:11:17 - mmengine - INFO - Epoch(train) [96][ 550/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:19:08 time: 0.3050 data_time: 0.0854 memory: 2049 grad_norm: 4.3383 loss: 4.0545 loss_cls: 2.5985 loss_bbox: 1.4561 2024/10/27 11:11:30 - mmengine - INFO - Epoch(train) [96][ 600/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:18:55 time: 0.2427 data_time: 0.0241 memory: 2049 grad_norm: 4.1759 loss: 4.0459 loss_cls: 2.6353 loss_bbox: 1.4106 2024/10/27 11:11:42 - mmengine - INFO - Epoch(train) [96][ 650/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:18:43 time: 0.2535 data_time: 0.0248 memory: 2049 grad_norm: 4.4549 loss: 4.0522 loss_cls: 2.6349 loss_bbox: 1.4173 2024/10/27 11:11:54 - mmengine - INFO - Epoch(train) [96][ 700/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:18:30 time: 0.2363 data_time: 0.0248 memory: 2049 grad_norm: 4.0154 loss: 4.2077 loss_cls: 2.6834 loss_bbox: 1.5243 2024/10/27 11:12:06 - mmengine - INFO - Epoch(train) [96][ 750/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:18:17 time: 0.2425 data_time: 0.0238 memory: 2049 grad_norm: 4.3067 loss: 4.0597 loss_cls: 2.6524 loss_bbox: 1.4073 2024/10/27 11:12:18 - mmengine - INFO - Epoch(train) [96][ 800/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:18:04 time: 0.2421 data_time: 0.0247 memory: 2049 grad_norm: 4.3736 loss: 4.1156 loss_cls: 2.6571 loss_bbox: 1.4585 2024/10/27 11:12:30 - mmengine - INFO - Epoch(train) [96][ 850/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:17:51 time: 0.2382 data_time: 0.0247 memory: 2049 grad_norm: 4.3188 loss: 4.0559 loss_cls: 2.6305 loss_bbox: 1.4255 2024/10/27 11:12:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:12:43 - mmengine - INFO - Epoch(train) [96][ 900/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:17:39 time: 0.2609 data_time: 0.0306 memory: 2049 grad_norm: 4.3087 loss: 4.0230 loss_cls: 2.5674 loss_bbox: 1.4556 2024/10/27 11:12:55 - mmengine - INFO - Epoch(train) [96][ 950/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:17:26 time: 0.2367 data_time: 0.0271 memory: 2049 grad_norm: 4.2401 loss: 4.0566 loss_cls: 2.6135 loss_bbox: 1.4431 2024/10/27 11:13:08 - mmengine - INFO - Epoch(train) [96][1000/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:17:14 time: 0.2634 data_time: 0.0339 memory: 2049 grad_norm: 4.3959 loss: 4.0803 loss_cls: 2.6415 loss_bbox: 1.4388 2024/10/27 11:13:21 - mmengine - INFO - Epoch(train) [96][1050/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:17:01 time: 0.2492 data_time: 0.0251 memory: 2049 grad_norm: 4.4014 loss: 4.1284 loss_cls: 2.6688 loss_bbox: 1.4595 2024/10/27 11:13:33 - mmengine - INFO - Epoch(train) [96][1100/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:16:48 time: 0.2397 data_time: 0.0248 memory: 2049 grad_norm: 4.2915 loss: 4.0742 loss_cls: 2.6260 loss_bbox: 1.4482 2024/10/27 11:13:46 - mmengine - INFO - Epoch(train) [96][1150/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:16:36 time: 0.2629 data_time: 0.0408 memory: 2049 grad_norm: 4.3987 loss: 4.0953 loss_cls: 2.6353 loss_bbox: 1.4600 2024/10/27 11:13:58 - mmengine - INFO - Epoch(train) [96][1200/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:16:23 time: 0.2350 data_time: 0.0251 memory: 2049 grad_norm: 4.1740 loss: 4.1435 loss_cls: 2.6592 loss_bbox: 1.4843 2024/10/27 11:14:11 - mmengine - INFO - Epoch(train) [96][1250/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:16:10 time: 0.2576 data_time: 0.0323 memory: 2049 grad_norm: 4.4541 loss: 4.1865 loss_cls: 2.7022 loss_bbox: 1.4843 2024/10/27 11:14:24 - mmengine - INFO - Epoch(train) [96][1300/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:15:58 time: 0.2577 data_time: 0.0362 memory: 2049 grad_norm: 4.6909 loss: 3.9931 loss_cls: 2.5773 loss_bbox: 1.4159 2024/10/27 11:14:36 - mmengine - INFO - Epoch(train) [96][1350/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:15:45 time: 0.2393 data_time: 0.0299 memory: 2049 grad_norm: 4.4207 loss: 4.1047 loss_cls: 2.6112 loss_bbox: 1.4935 2024/10/27 11:14:49 - mmengine - INFO - Epoch(train) [96][1400/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:15:32 time: 0.2623 data_time: 0.0241 memory: 2049 grad_norm: 4.3129 loss: 4.0903 loss_cls: 2.6073 loss_bbox: 1.4830 2024/10/27 11:15:01 - mmengine - INFO - Epoch(train) [96][1450/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:15:19 time: 0.2433 data_time: 0.0235 memory: 2049 grad_norm: 4.5509 loss: 4.0913 loss_cls: 2.6219 loss_bbox: 1.4693 2024/10/27 11:15:14 - mmengine - INFO - Epoch(train) [96][1500/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:15:07 time: 0.2591 data_time: 0.0239 memory: 2049 grad_norm: 4.5542 loss: 4.0665 loss_cls: 2.6107 loss_bbox: 1.4557 2024/10/27 11:15:27 - mmengine - INFO - Epoch(train) [96][1550/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:14:54 time: 0.2576 data_time: 0.0258 memory: 2049 grad_norm: 4.9258 loss: 4.0344 loss_cls: 2.6119 loss_bbox: 1.4225 2024/10/27 11:15:39 - mmengine - INFO - Epoch(train) [96][1600/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:14:42 time: 0.2450 data_time: 0.0265 memory: 2049 grad_norm: 4.5200 loss: 4.0456 loss_cls: 2.6213 loss_bbox: 1.4243 2024/10/27 11:15:52 - mmengine - INFO - Epoch(train) [96][1650/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:14:29 time: 0.2536 data_time: 0.0228 memory: 2049 grad_norm: 4.4701 loss: 4.0353 loss_cls: 2.6051 loss_bbox: 1.4301 2024/10/27 11:16:04 - mmengine - INFO - Epoch(train) [96][1700/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:14:16 time: 0.2560 data_time: 0.0251 memory: 2049 grad_norm: 4.4810 loss: 4.0891 loss_cls: 2.6452 loss_bbox: 1.4439 2024/10/27 11:16:18 - mmengine - INFO - Epoch(train) [96][1750/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:14:04 time: 0.2775 data_time: 0.0470 memory: 2049 grad_norm: 4.6639 loss: 4.0748 loss_cls: 2.6582 loss_bbox: 1.4165 2024/10/27 11:16:31 - mmengine - INFO - Epoch(train) [96][1800/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:13:52 time: 0.2612 data_time: 0.0225 memory: 2049 grad_norm: 4.5452 loss: 4.1732 loss_cls: 2.6821 loss_bbox: 1.4911 2024/10/27 11:16:44 - mmengine - INFO - Epoch(train) [96][1850/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:13:39 time: 0.2486 data_time: 0.0279 memory: 2049 grad_norm: 4.3645 loss: 4.0305 loss_cls: 2.6426 loss_bbox: 1.3879 2024/10/27 11:16:49 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:16:57 - mmengine - INFO - Epoch(train) [96][1900/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:13:26 time: 0.2533 data_time: 0.0240 memory: 2049 grad_norm: 4.6557 loss: 4.0346 loss_cls: 2.6089 loss_bbox: 1.4257 2024/10/27 11:17:09 - mmengine - INFO - Epoch(train) [96][1950/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:13:14 time: 0.2513 data_time: 0.0255 memory: 2049 grad_norm: 4.6444 loss: 4.1337 loss_cls: 2.6665 loss_bbox: 1.4672 2024/10/27 11:17:22 - mmengine - INFO - Epoch(train) [96][2000/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:13:01 time: 0.2560 data_time: 0.0275 memory: 2049 grad_norm: 4.3967 loss: 4.0398 loss_cls: 2.6380 loss_bbox: 1.4019 2024/10/27 11:17:35 - mmengine - INFO - Epoch(train) [96][2050/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:12:49 time: 0.2646 data_time: 0.0235 memory: 2049 grad_norm: 4.5768 loss: 4.1266 loss_cls: 2.6493 loss_bbox: 1.4773 2024/10/27 11:17:47 - mmengine - INFO - Epoch(train) [96][2100/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:12:36 time: 0.2455 data_time: 0.0226 memory: 2049 grad_norm: 4.9495 loss: 4.0617 loss_cls: 2.6082 loss_bbox: 1.4535 2024/10/27 11:18:01 - mmengine - INFO - Epoch(train) [96][2150/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:12:23 time: 0.2616 data_time: 0.0266 memory: 2049 grad_norm: 4.2726 loss: 4.0692 loss_cls: 2.6560 loss_bbox: 1.4132 2024/10/27 11:18:13 - mmengine - INFO - Epoch(train) [96][2200/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:12:11 time: 0.2411 data_time: 0.0231 memory: 2049 grad_norm: 4.3638 loss: 4.1382 loss_cls: 2.6559 loss_bbox: 1.4823 2024/10/27 11:18:26 - mmengine - INFO - Epoch(train) [96][2250/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:11:58 time: 0.2598 data_time: 0.0273 memory: 2049 grad_norm: 4.5706 loss: 4.1162 loss_cls: 2.6546 loss_bbox: 1.4617 2024/10/27 11:18:39 - mmengine - INFO - Epoch(train) [96][2300/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:11:46 time: 0.2662 data_time: 0.0220 memory: 2049 grad_norm: 4.6817 loss: 4.0963 loss_cls: 2.6736 loss_bbox: 1.4227 2024/10/27 11:18:52 - mmengine - INFO - Epoch(train) [96][2350/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:11:33 time: 0.2588 data_time: 0.0307 memory: 2049 grad_norm: 4.8373 loss: 4.1306 loss_cls: 2.6636 loss_bbox: 1.4671 2024/10/27 11:19:05 - mmengine - INFO - Epoch(train) [96][2400/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:11:21 time: 0.2668 data_time: 0.0222 memory: 2049 grad_norm: 4.2288 loss: 4.0171 loss_cls: 2.6005 loss_bbox: 1.4166 2024/10/27 11:19:18 - mmengine - INFO - Epoch(train) [96][2450/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:11:08 time: 0.2647 data_time: 0.0345 memory: 2049 grad_norm: 4.3009 loss: 4.1657 loss_cls: 2.6913 loss_bbox: 1.4744 2024/10/27 11:19:31 - mmengine - INFO - Epoch(train) [96][2500/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:10:56 time: 0.2591 data_time: 0.0243 memory: 2049 grad_norm: 4.1569 loss: 4.0533 loss_cls: 2.6358 loss_bbox: 1.4175 2024/10/27 11:19:45 - mmengine - INFO - Epoch(train) [96][2550/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:10:43 time: 0.2650 data_time: 0.0218 memory: 2049 grad_norm: 4.4923 loss: 4.0421 loss_cls: 2.6305 loss_bbox: 1.4116 2024/10/27 11:19:57 - mmengine - INFO - Epoch(train) [96][2600/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:10:31 time: 0.2524 data_time: 0.0316 memory: 2049 grad_norm: 4.4216 loss: 4.1075 loss_cls: 2.6591 loss_bbox: 1.4483 2024/10/27 11:20:11 - mmengine - INFO - Epoch(train) [96][2650/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:10:18 time: 0.2689 data_time: 0.0228 memory: 2049 grad_norm: 4.7556 loss: 4.0830 loss_cls: 2.6457 loss_bbox: 1.4373 2024/10/27 11:20:23 - mmengine - INFO - Epoch(train) [96][2700/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:10:06 time: 0.2471 data_time: 0.0219 memory: 2049 grad_norm: 4.5093 loss: 4.1751 loss_cls: 2.6827 loss_bbox: 1.4923 2024/10/27 11:20:37 - mmengine - INFO - Epoch(train) [96][2750/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:09:53 time: 0.2688 data_time: 0.0236 memory: 2049 grad_norm: 4.2018 loss: 4.0972 loss_cls: 2.6082 loss_bbox: 1.4891 2024/10/27 11:20:49 - mmengine - INFO - Epoch(train) [96][2800/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:09:41 time: 0.2500 data_time: 0.0216 memory: 2049 grad_norm: 4.2891 loss: 4.0796 loss_cls: 2.6390 loss_bbox: 1.4406 2024/10/27 11:21:02 - mmengine - INFO - Epoch(train) [96][2850/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:09:28 time: 0.2509 data_time: 0.0218 memory: 2049 grad_norm: 4.2914 loss: 4.1187 loss_cls: 2.6779 loss_bbox: 1.4407 2024/10/27 11:21:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:21:18 - mmengine - INFO - Epoch(train) [96][2900/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:09:16 time: 0.3265 data_time: 0.0877 memory: 2049 grad_norm: 4.5231 loss: 4.1278 loss_cls: 2.6646 loss_bbox: 1.4633 2024/10/27 11:21:30 - mmengine - INFO - Epoch(train) [96][2950/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:09:04 time: 0.2437 data_time: 0.0236 memory: 2049 grad_norm: 4.3769 loss: 4.0881 loss_cls: 2.6225 loss_bbox: 1.4656 2024/10/27 11:21:43 - mmengine - INFO - Epoch(train) [96][3000/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:08:51 time: 0.2611 data_time: 0.0222 memory: 2049 grad_norm: 4.3493 loss: 4.0334 loss_cls: 2.6373 loss_bbox: 1.3961 2024/10/27 11:21:56 - mmengine - INFO - Epoch(train) [96][3050/3054] base_lr: 8.8942e-04 lr: 8.8942e-04 eta: 5:08:38 time: 0.2505 data_time: 0.0219 memory: 2049 grad_norm: 4.3685 loss: 4.1406 loss_cls: 2.6661 loss_bbox: 1.4746 2024/10/27 11:21:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:21:57 - mmengine - INFO - Saving checkpoint at 96 epochs 2024/10/27 11:22:10 - mmengine - INFO - Epoch(train) [97][ 50/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:08:25 time: 0.2358 data_time: 0.0407 memory: 2049 grad_norm: 4.4676 loss: 4.1311 loss_cls: 2.6606 loss_bbox: 1.4705 2024/10/27 11:22:22 - mmengine - INFO - Epoch(train) [97][ 100/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:08:12 time: 0.2422 data_time: 0.0249 memory: 2049 grad_norm: 4.3554 loss: 3.9176 loss_cls: 2.5335 loss_bbox: 1.3840 2024/10/27 11:22:34 - mmengine - INFO - Epoch(train) [97][ 150/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:07:59 time: 0.2282 data_time: 0.0279 memory: 2049 grad_norm: 4.2591 loss: 3.9989 loss_cls: 2.5986 loss_bbox: 1.4003 2024/10/27 11:22:46 - mmengine - INFO - Epoch(train) [97][ 200/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:07:46 time: 0.2432 data_time: 0.0261 memory: 2049 grad_norm: 4.2283 loss: 4.0788 loss_cls: 2.6457 loss_bbox: 1.4332 2024/10/27 11:22:58 - mmengine - INFO - Epoch(train) [97][ 250/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:07:33 time: 0.2294 data_time: 0.0252 memory: 2049 grad_norm: 4.2968 loss: 4.0146 loss_cls: 2.6028 loss_bbox: 1.4118 2024/10/27 11:23:09 - mmengine - INFO - Epoch(train) [97][ 300/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:07:20 time: 0.2325 data_time: 0.0256 memory: 2049 grad_norm: 4.5981 loss: 4.0712 loss_cls: 2.6132 loss_bbox: 1.4579 2024/10/27 11:23:22 - mmengine - INFO - Epoch(train) [97][ 350/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:07:07 time: 0.2473 data_time: 0.0313 memory: 2049 grad_norm: 4.4830 loss: 4.0546 loss_cls: 2.6301 loss_bbox: 1.4245 2024/10/27 11:23:33 - mmengine - INFO - Epoch(train) [97][ 400/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:06:54 time: 0.2222 data_time: 0.0245 memory: 2049 grad_norm: 4.4540 loss: 4.1385 loss_cls: 2.6550 loss_bbox: 1.4835 2024/10/27 11:23:45 - mmengine - INFO - Epoch(train) [97][ 450/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:06:42 time: 0.2498 data_time: 0.0257 memory: 2049 grad_norm: 4.2353 loss: 4.0187 loss_cls: 2.5544 loss_bbox: 1.4643 2024/10/27 11:23:57 - mmengine - INFO - Epoch(train) [97][ 500/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:06:29 time: 0.2390 data_time: 0.0346 memory: 2049 grad_norm: 4.5667 loss: 4.0803 loss_cls: 2.6223 loss_bbox: 1.4581 2024/10/27 11:24:09 - mmengine - INFO - Epoch(train) [97][ 550/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:06:16 time: 0.2317 data_time: 0.0293 memory: 2049 grad_norm: 4.2691 loss: 4.0635 loss_cls: 2.5803 loss_bbox: 1.4832 2024/10/27 11:24:21 - mmengine - INFO - Epoch(train) [97][ 600/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:06:03 time: 0.2448 data_time: 0.0279 memory: 2049 grad_norm: 4.4941 loss: 4.0927 loss_cls: 2.6052 loss_bbox: 1.4875 2024/10/27 11:24:33 - mmengine - INFO - Epoch(train) [97][ 650/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:05:50 time: 0.2377 data_time: 0.0357 memory: 2049 grad_norm: 4.2763 loss: 4.0958 loss_cls: 2.6215 loss_bbox: 1.4742 2024/10/27 11:24:45 - mmengine - INFO - Epoch(train) [97][ 700/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:05:37 time: 0.2438 data_time: 0.0256 memory: 2049 grad_norm: 4.4367 loss: 4.0593 loss_cls: 2.6306 loss_bbox: 1.4287 2024/10/27 11:24:57 - mmengine - INFO - Epoch(train) [97][ 750/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:05:25 time: 0.2394 data_time: 0.0350 memory: 2049 grad_norm: 5.0897 loss: 4.0564 loss_cls: 2.6146 loss_bbox: 1.4418 2024/10/27 11:25:09 - mmengine - INFO - Epoch(train) [97][ 800/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:05:12 time: 0.2432 data_time: 0.0300 memory: 2049 grad_norm: 4.4453 loss: 4.0879 loss_cls: 2.6239 loss_bbox: 1.4640 2024/10/27 11:25:13 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:25:21 - mmengine - INFO - Epoch(train) [97][ 850/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:04:59 time: 0.2397 data_time: 0.0263 memory: 2049 grad_norm: 4.4401 loss: 3.9643 loss_cls: 2.5743 loss_bbox: 1.3899 2024/10/27 11:25:34 - mmengine - INFO - Epoch(train) [97][ 900/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:04:46 time: 0.2461 data_time: 0.0368 memory: 2049 grad_norm: 4.1640 loss: 4.0050 loss_cls: 2.6006 loss_bbox: 1.4044 2024/10/27 11:25:46 - mmengine - INFO - Epoch(train) [97][ 950/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:04:34 time: 0.2472 data_time: 0.0250 memory: 2049 grad_norm: 4.6415 loss: 4.0238 loss_cls: 2.5909 loss_bbox: 1.4330 2024/10/27 11:25:58 - mmengine - INFO - Epoch(train) [97][1000/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:04:21 time: 0.2351 data_time: 0.0243 memory: 2049 grad_norm: 4.7443 loss: 3.9880 loss_cls: 2.5777 loss_bbox: 1.4103 2024/10/27 11:26:10 - mmengine - INFO - Epoch(train) [97][1050/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:04:08 time: 0.2477 data_time: 0.0292 memory: 2049 grad_norm: 4.5602 loss: 4.0904 loss_cls: 2.6176 loss_bbox: 1.4728 2024/10/27 11:26:22 - mmengine - INFO - Epoch(train) [97][1100/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:03:55 time: 0.2382 data_time: 0.0279 memory: 2049 grad_norm: 4.4195 loss: 3.9696 loss_cls: 2.6099 loss_bbox: 1.3597 2024/10/27 11:26:34 - mmengine - INFO - Epoch(train) [97][1150/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:03:42 time: 0.2463 data_time: 0.0273 memory: 2049 grad_norm: 4.1930 loss: 4.0568 loss_cls: 2.6423 loss_bbox: 1.4145 2024/10/27 11:26:46 - mmengine - INFO - Epoch(train) [97][1200/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:03:30 time: 0.2417 data_time: 0.0244 memory: 2049 grad_norm: 5.0548 loss: 4.1298 loss_cls: 2.6544 loss_bbox: 1.4754 2024/10/27 11:26:58 - mmengine - INFO - Epoch(train) [97][1250/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:03:17 time: 0.2331 data_time: 0.0267 memory: 2049 grad_norm: 4.4681 loss: 4.1816 loss_cls: 2.7048 loss_bbox: 1.4768 2024/10/27 11:27:11 - mmengine - INFO - Epoch(train) [97][1300/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:03:04 time: 0.2582 data_time: 0.0249 memory: 2049 grad_norm: 4.6503 loss: 4.1299 loss_cls: 2.6527 loss_bbox: 1.4772 2024/10/27 11:27:23 - mmengine - INFO - Epoch(train) [97][1350/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:02:51 time: 0.2325 data_time: 0.0256 memory: 2049 grad_norm: 4.9915 loss: 4.1021 loss_cls: 2.6319 loss_bbox: 1.4702 2024/10/27 11:27:35 - mmengine - INFO - Epoch(train) [97][1400/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:02:38 time: 0.2431 data_time: 0.0263 memory: 2049 grad_norm: 4.6437 loss: 4.0858 loss_cls: 2.6201 loss_bbox: 1.4657 2024/10/27 11:27:47 - mmengine - INFO - Epoch(train) [97][1450/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:02:26 time: 0.2492 data_time: 0.0313 memory: 2049 grad_norm: 4.6586 loss: 4.0170 loss_cls: 2.5778 loss_bbox: 1.4393 2024/10/27 11:27:59 - mmengine - INFO - Epoch(train) [97][1500/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:02:13 time: 0.2332 data_time: 0.0226 memory: 2049 grad_norm: 4.1945 loss: 4.1515 loss_cls: 2.6508 loss_bbox: 1.5008 2024/10/27 11:28:12 - mmengine - INFO - Epoch(train) [97][1550/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:02:00 time: 0.2565 data_time: 0.0238 memory: 2049 grad_norm: 4.5716 loss: 3.9743 loss_cls: 2.5713 loss_bbox: 1.4030 2024/10/27 11:28:24 - mmengine - INFO - Epoch(train) [97][1600/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:01:47 time: 0.2359 data_time: 0.0221 memory: 2049 grad_norm: 4.5597 loss: 3.9962 loss_cls: 2.5951 loss_bbox: 1.4011 2024/10/27 11:28:36 - mmengine - INFO - Epoch(train) [97][1650/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:01:35 time: 0.2454 data_time: 0.0226 memory: 2049 grad_norm: 4.6190 loss: 4.0614 loss_cls: 2.5838 loss_bbox: 1.4776 2024/10/27 11:28:48 - mmengine - INFO - Epoch(train) [97][1700/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:01:22 time: 0.2492 data_time: 0.0222 memory: 2049 grad_norm: 4.8340 loss: 4.0698 loss_cls: 2.6496 loss_bbox: 1.4202 2024/10/27 11:29:01 - mmengine - INFO - Epoch(train) [97][1750/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:01:09 time: 0.2436 data_time: 0.0248 memory: 2049 grad_norm: 4.2592 loss: 4.0871 loss_cls: 2.6476 loss_bbox: 1.4395 2024/10/27 11:29:13 - mmengine - INFO - Epoch(train) [97][1800/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:00:57 time: 0.2522 data_time: 0.0239 memory: 2049 grad_norm: 4.6392 loss: 4.0859 loss_cls: 2.6615 loss_bbox: 1.4244 2024/10/27 11:29:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:29:25 - mmengine - INFO - Epoch(train) [97][1850/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:00:44 time: 0.2384 data_time: 0.0240 memory: 2049 grad_norm: 5.2820 loss: 4.0215 loss_cls: 2.5964 loss_bbox: 1.4251 2024/10/27 11:29:37 - mmengine - INFO - Epoch(train) [97][1900/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:00:31 time: 0.2454 data_time: 0.0234 memory: 2049 grad_norm: 4.3991 loss: 4.0706 loss_cls: 2.6389 loss_bbox: 1.4317 2024/10/27 11:29:50 - mmengine - INFO - Epoch(train) [97][1950/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:00:18 time: 0.2463 data_time: 0.0245 memory: 2049 grad_norm: 4.5405 loss: 4.0678 loss_cls: 2.6542 loss_bbox: 1.4135 2024/10/27 11:30:02 - mmengine - INFO - Epoch(train) [97][2000/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 5:00:05 time: 0.2427 data_time: 0.0235 memory: 2049 grad_norm: 4.6261 loss: 4.0295 loss_cls: 2.5804 loss_bbox: 1.4491 2024/10/27 11:30:17 - mmengine - INFO - Epoch(train) [97][2050/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:59:54 time: 0.3074 data_time: 0.0836 memory: 2049 grad_norm: 4.7018 loss: 4.0214 loss_cls: 2.6275 loss_bbox: 1.3939 2024/10/27 11:30:29 - mmengine - INFO - Epoch(train) [97][2100/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:59:41 time: 0.2363 data_time: 0.0235 memory: 2049 grad_norm: 4.2401 loss: 4.0162 loss_cls: 2.6247 loss_bbox: 1.3915 2024/10/27 11:30:42 - mmengine - INFO - Epoch(train) [97][2150/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:59:28 time: 0.2593 data_time: 0.0320 memory: 2049 grad_norm: 4.5739 loss: 4.0698 loss_cls: 2.6125 loss_bbox: 1.4573 2024/10/27 11:30:54 - mmengine - INFO - Epoch(train) [97][2200/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:59:15 time: 0.2341 data_time: 0.0240 memory: 2049 grad_norm: 4.5787 loss: 4.0414 loss_cls: 2.6401 loss_bbox: 1.4013 2024/10/27 11:31:06 - mmengine - INFO - Epoch(train) [97][2250/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:59:03 time: 0.2500 data_time: 0.0292 memory: 2049 grad_norm: 4.4015 loss: 4.1928 loss_cls: 2.6874 loss_bbox: 1.5054 2024/10/27 11:31:20 - mmengine - INFO - Epoch(train) [97][2300/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:58:50 time: 0.2625 data_time: 0.0234 memory: 2049 grad_norm: 4.1796 loss: 4.0861 loss_cls: 2.6152 loss_bbox: 1.4709 2024/10/27 11:31:32 - mmengine - INFO - Epoch(train) [97][2350/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:58:37 time: 0.2423 data_time: 0.0248 memory: 2049 grad_norm: 4.5920 loss: 4.0226 loss_cls: 2.5891 loss_bbox: 1.4335 2024/10/27 11:31:45 - mmengine - INFO - Epoch(train) [97][2400/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:58:25 time: 0.2682 data_time: 0.0344 memory: 2049 grad_norm: 4.4507 loss: 4.1229 loss_cls: 2.6530 loss_bbox: 1.4699 2024/10/27 11:31:57 - mmengine - INFO - Epoch(train) [97][2450/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:58:12 time: 0.2316 data_time: 0.0237 memory: 2049 grad_norm: 4.0826 loss: 3.8959 loss_cls: 2.5777 loss_bbox: 1.3183 2024/10/27 11:32:09 - mmengine - INFO - Epoch(train) [97][2500/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:57:59 time: 0.2467 data_time: 0.0246 memory: 2049 grad_norm: 4.3430 loss: 4.1875 loss_cls: 2.7005 loss_bbox: 1.4870 2024/10/27 11:32:22 - mmengine - INFO - Epoch(train) [97][2550/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:57:47 time: 0.2554 data_time: 0.0244 memory: 2049 grad_norm: 4.7873 loss: 4.0891 loss_cls: 2.6556 loss_bbox: 1.4335 2024/10/27 11:32:34 - mmengine - INFO - Epoch(train) [97][2600/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:57:34 time: 0.2414 data_time: 0.0242 memory: 2049 grad_norm: 5.0673 loss: 4.0691 loss_cls: 2.5855 loss_bbox: 1.4836 2024/10/27 11:32:47 - mmengine - INFO - Epoch(train) [97][2650/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:57:22 time: 0.2651 data_time: 0.0327 memory: 2049 grad_norm: 4.4940 loss: 3.9933 loss_cls: 2.6053 loss_bbox: 1.3880 2024/10/27 11:32:59 - mmengine - INFO - Epoch(train) [97][2700/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:57:09 time: 0.2417 data_time: 0.0242 memory: 2049 grad_norm: 4.3301 loss: 3.9985 loss_cls: 2.6069 loss_bbox: 1.3917 2024/10/27 11:33:12 - mmengine - INFO - Epoch(train) [97][2750/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:56:56 time: 0.2533 data_time: 0.0255 memory: 2049 grad_norm: 4.4032 loss: 4.0840 loss_cls: 2.6527 loss_bbox: 1.4314 2024/10/27 11:33:25 - mmengine - INFO - Epoch(train) [97][2800/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:56:44 time: 0.2569 data_time: 0.0313 memory: 2049 grad_norm: 4.3259 loss: 4.0452 loss_cls: 2.6077 loss_bbox: 1.4375 2024/10/27 11:33:29 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:33:37 - mmengine - INFO - Epoch(train) [97][2850/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:56:31 time: 0.2395 data_time: 0.0241 memory: 2049 grad_norm: 4.3649 loss: 3.9816 loss_cls: 2.6048 loss_bbox: 1.3768 2024/10/27 11:33:50 - mmengine - INFO - Epoch(train) [97][2900/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:56:18 time: 0.2554 data_time: 0.0229 memory: 2049 grad_norm: 4.5013 loss: 4.0760 loss_cls: 2.6548 loss_bbox: 1.4212 2024/10/27 11:34:01 - mmengine - INFO - Epoch(train) [97][2950/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:56:05 time: 0.2356 data_time: 0.0246 memory: 2049 grad_norm: 4.3788 loss: 4.0485 loss_cls: 2.6161 loss_bbox: 1.4324 2024/10/27 11:34:18 - mmengine - INFO - Epoch(train) [97][3000/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:55:54 time: 0.3272 data_time: 0.1049 memory: 2049 grad_norm: 4.6335 loss: 3.9514 loss_cls: 2.5827 loss_bbox: 1.3687 2024/10/27 11:34:31 - mmengine - INFO - Epoch(train) [97][3050/3054] base_lr: 8.2918e-04 lr: 8.2918e-04 eta: 4:55:41 time: 0.2579 data_time: 0.0222 memory: 2049 grad_norm: 4.6583 loss: 4.0605 loss_cls: 2.6364 loss_bbox: 1.4241 2024/10/27 11:34:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:34:32 - mmengine - INFO - Saving checkpoint at 97 epochs 2024/10/27 11:34:47 - mmengine - INFO - Epoch(train) [98][ 50/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:55:28 time: 0.2504 data_time: 0.0367 memory: 2049 grad_norm: 4.3496 loss: 3.9267 loss_cls: 2.5810 loss_bbox: 1.3457 2024/10/27 11:34:59 - mmengine - INFO - Epoch(train) [98][ 100/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:55:15 time: 0.2283 data_time: 0.0245 memory: 2049 grad_norm: 4.5653 loss: 4.0590 loss_cls: 2.6362 loss_bbox: 1.4229 2024/10/27 11:35:11 - mmengine - INFO - Epoch(train) [98][ 150/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:55:02 time: 0.2464 data_time: 0.0241 memory: 2049 grad_norm: 4.6643 loss: 3.9741 loss_cls: 2.5743 loss_bbox: 1.3998 2024/10/27 11:35:23 - mmengine - INFO - Epoch(train) [98][ 200/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:54:49 time: 0.2386 data_time: 0.0239 memory: 2049 grad_norm: 4.3008 loss: 3.9437 loss_cls: 2.5517 loss_bbox: 1.3919 2024/10/27 11:35:35 - mmengine - INFO - Epoch(train) [98][ 250/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:54:36 time: 0.2467 data_time: 0.0251 memory: 2049 grad_norm: 4.7197 loss: 3.9814 loss_cls: 2.6118 loss_bbox: 1.3696 2024/10/27 11:35:47 - mmengine - INFO - Epoch(train) [98][ 300/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:54:23 time: 0.2385 data_time: 0.0238 memory: 2049 grad_norm: 4.4694 loss: 4.0500 loss_cls: 2.5562 loss_bbox: 1.4937 2024/10/27 11:35:59 - mmengine - INFO - Epoch(train) [98][ 350/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:54:10 time: 0.2282 data_time: 0.0259 memory: 2049 grad_norm: 4.4974 loss: 3.9804 loss_cls: 2.5796 loss_bbox: 1.4008 2024/10/27 11:36:11 - mmengine - INFO - Epoch(train) [98][ 400/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:53:58 time: 0.2498 data_time: 0.0249 memory: 2049 grad_norm: 4.2556 loss: 3.9520 loss_cls: 2.5765 loss_bbox: 1.3755 2024/10/27 11:36:23 - mmengine - INFO - Epoch(train) [98][ 450/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:53:45 time: 0.2365 data_time: 0.0253 memory: 2049 grad_norm: 4.6522 loss: 4.0868 loss_cls: 2.6292 loss_bbox: 1.4576 2024/10/27 11:36:36 - mmengine - INFO - Epoch(train) [98][ 500/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:53:32 time: 0.2541 data_time: 0.0247 memory: 2049 grad_norm: 4.9368 loss: 4.1007 loss_cls: 2.6541 loss_bbox: 1.4466 2024/10/27 11:36:48 - mmengine - INFO - Epoch(train) [98][ 550/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:53:20 time: 0.2379 data_time: 0.0255 memory: 2049 grad_norm: 4.3900 loss: 3.9970 loss_cls: 2.5798 loss_bbox: 1.4173 2024/10/27 11:36:59 - mmengine - INFO - Epoch(train) [98][ 600/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:53:07 time: 0.2344 data_time: 0.0248 memory: 2049 grad_norm: 4.4119 loss: 3.9917 loss_cls: 2.5831 loss_bbox: 1.4086 2024/10/27 11:37:12 - mmengine - INFO - Epoch(train) [98][ 650/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:52:54 time: 0.2502 data_time: 0.0344 memory: 2049 grad_norm: 4.4906 loss: 3.9733 loss_cls: 2.5437 loss_bbox: 1.4295 2024/10/27 11:37:24 - mmengine - INFO - Epoch(train) [98][ 700/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:52:41 time: 0.2461 data_time: 0.0297 memory: 2049 grad_norm: 4.6634 loss: 4.0612 loss_cls: 2.6364 loss_bbox: 1.4248 2024/10/27 11:37:37 - mmengine - INFO - Epoch(train) [98][ 750/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:52:29 time: 0.2497 data_time: 0.0248 memory: 2049 grad_norm: 4.7387 loss: 4.1046 loss_cls: 2.6442 loss_bbox: 1.4604 2024/10/27 11:37:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:37:49 - mmengine - INFO - Epoch(train) [98][ 800/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:52:16 time: 0.2441 data_time: 0.0253 memory: 2049 grad_norm: 4.4877 loss: 3.9979 loss_cls: 2.5769 loss_bbox: 1.4210 2024/10/27 11:38:01 - mmengine - INFO - Epoch(train) [98][ 850/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:52:03 time: 0.2442 data_time: 0.0256 memory: 2049 grad_norm: 5.0046 loss: 3.8802 loss_cls: 2.5350 loss_bbox: 1.3452 2024/10/27 11:38:17 - mmengine - INFO - Epoch(train) [98][ 900/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:51:51 time: 0.3234 data_time: 0.1000 memory: 2049 grad_norm: 4.2251 loss: 3.9605 loss_cls: 2.5643 loss_bbox: 1.3961 2024/10/27 11:38:29 - mmengine - INFO - Epoch(train) [98][ 950/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:51:39 time: 0.2415 data_time: 0.0263 memory: 2049 grad_norm: 4.4305 loss: 3.8804 loss_cls: 2.5610 loss_bbox: 1.3194 2024/10/27 11:38:42 - mmengine - INFO - Epoch(train) [98][1000/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:51:26 time: 0.2548 data_time: 0.0243 memory: 2049 grad_norm: 4.1024 loss: 3.9798 loss_cls: 2.5601 loss_bbox: 1.4197 2024/10/27 11:38:55 - mmengine - INFO - Epoch(train) [98][1050/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:51:13 time: 0.2454 data_time: 0.0255 memory: 2049 grad_norm: 4.7329 loss: 3.9827 loss_cls: 2.5456 loss_bbox: 1.4371 2024/10/27 11:39:07 - mmengine - INFO - Epoch(train) [98][1100/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:51:01 time: 0.2478 data_time: 0.0269 memory: 2049 grad_norm: 4.5935 loss: 3.9914 loss_cls: 2.5738 loss_bbox: 1.4177 2024/10/27 11:39:20 - mmengine - INFO - Epoch(train) [98][1150/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:50:48 time: 0.2524 data_time: 0.0229 memory: 2049 grad_norm: 4.4723 loss: 4.0334 loss_cls: 2.5899 loss_bbox: 1.4435 2024/10/27 11:39:32 - mmengine - INFO - Epoch(train) [98][1200/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:50:35 time: 0.2447 data_time: 0.0225 memory: 2049 grad_norm: 4.7209 loss: 4.0291 loss_cls: 2.6381 loss_bbox: 1.3909 2024/10/27 11:39:44 - mmengine - INFO - Epoch(train) [98][1250/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:50:23 time: 0.2526 data_time: 0.0239 memory: 2049 grad_norm: 4.7159 loss: 3.9784 loss_cls: 2.5834 loss_bbox: 1.3950 2024/10/27 11:39:58 - mmengine - INFO - Epoch(train) [98][1300/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:50:10 time: 0.2678 data_time: 0.0226 memory: 2049 grad_norm: 4.1125 loss: 3.9819 loss_cls: 2.5898 loss_bbox: 1.3920 2024/10/27 11:40:10 - mmengine - INFO - Epoch(train) [98][1350/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:49:58 time: 0.2470 data_time: 0.0221 memory: 2049 grad_norm: 4.7886 loss: 3.9774 loss_cls: 2.5746 loss_bbox: 1.4028 2024/10/27 11:40:24 - mmengine - INFO - Epoch(train) [98][1400/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:49:45 time: 0.2756 data_time: 0.0260 memory: 2049 grad_norm: 4.1211 loss: 3.9386 loss_cls: 2.5832 loss_bbox: 1.3554 2024/10/27 11:40:36 - mmengine - INFO - Epoch(train) [98][1450/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:49:32 time: 0.2415 data_time: 0.0254 memory: 2049 grad_norm: 4.1535 loss: 3.9754 loss_cls: 2.5821 loss_bbox: 1.3933 2024/10/27 11:40:49 - mmengine - INFO - Epoch(train) [98][1500/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:49:20 time: 0.2668 data_time: 0.0226 memory: 2049 grad_norm: 4.8836 loss: 4.0786 loss_cls: 2.6234 loss_bbox: 1.4552 2024/10/27 11:41:02 - mmengine - INFO - Epoch(train) [98][1550/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:49:07 time: 0.2558 data_time: 0.0280 memory: 2049 grad_norm: 4.6159 loss: 3.9876 loss_cls: 2.5694 loss_bbox: 1.4182 2024/10/27 11:41:18 - mmengine - INFO - Epoch(train) [98][1600/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:48:56 time: 0.3100 data_time: 0.0869 memory: 2049 grad_norm: 4.4570 loss: 4.0785 loss_cls: 2.5926 loss_bbox: 1.4859 2024/10/27 11:41:31 - mmengine - INFO - Epoch(train) [98][1650/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:48:43 time: 0.2660 data_time: 0.0219 memory: 2049 grad_norm: 4.7378 loss: 4.0262 loss_cls: 2.5990 loss_bbox: 1.4272 2024/10/27 11:41:43 - mmengine - INFO - Epoch(train) [98][1700/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:48:30 time: 0.2389 data_time: 0.0219 memory: 2049 grad_norm: 4.6712 loss: 3.9611 loss_cls: 2.5540 loss_bbox: 1.4071 2024/10/27 11:41:56 - mmengine - INFO - Epoch(train) [98][1750/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:48:18 time: 0.2511 data_time: 0.0209 memory: 2049 grad_norm: 4.6934 loss: 3.9586 loss_cls: 2.5808 loss_bbox: 1.3778 2024/10/27 11:41:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:42:09 - mmengine - INFO - Epoch(train) [98][1800/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:48:05 time: 0.2601 data_time: 0.0221 memory: 2049 grad_norm: 4.3138 loss: 3.9451 loss_cls: 2.5724 loss_bbox: 1.3727 2024/10/27 11:42:20 - mmengine - INFO - Epoch(train) [98][1850/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:47:52 time: 0.2347 data_time: 0.0244 memory: 2049 grad_norm: 4.3786 loss: 4.0857 loss_cls: 2.6419 loss_bbox: 1.4437 2024/10/27 11:42:35 - mmengine - INFO - Epoch(train) [98][1900/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:47:40 time: 0.2878 data_time: 0.0314 memory: 2049 grad_norm: 4.4929 loss: 4.0669 loss_cls: 2.6304 loss_bbox: 1.4364 2024/10/27 11:42:47 - mmengine - INFO - Epoch(train) [98][1950/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:47:27 time: 0.2379 data_time: 0.0225 memory: 2049 grad_norm: 4.4298 loss: 4.0817 loss_cls: 2.6481 loss_bbox: 1.4335 2024/10/27 11:42:59 - mmengine - INFO - Epoch(train) [98][2000/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:47:15 time: 0.2489 data_time: 0.0219 memory: 2049 grad_norm: 4.6325 loss: 4.0596 loss_cls: 2.5897 loss_bbox: 1.4699 2024/10/27 11:43:12 - mmengine - INFO - Epoch(train) [98][2050/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:47:02 time: 0.2560 data_time: 0.0325 memory: 2049 grad_norm: 4.6598 loss: 3.9868 loss_cls: 2.5975 loss_bbox: 1.3894 2024/10/27 11:43:24 - mmengine - INFO - Epoch(train) [98][2100/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:46:49 time: 0.2406 data_time: 0.0279 memory: 2049 grad_norm: 4.4420 loss: 3.9873 loss_cls: 2.6041 loss_bbox: 1.3832 2024/10/27 11:43:38 - mmengine - INFO - Epoch(train) [98][2150/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:46:37 time: 0.2713 data_time: 0.0237 memory: 2049 grad_norm: 4.6025 loss: 3.9625 loss_cls: 2.6070 loss_bbox: 1.3556 2024/10/27 11:43:50 - mmengine - INFO - Epoch(train) [98][2200/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:46:24 time: 0.2393 data_time: 0.0256 memory: 2049 grad_norm: 4.6374 loss: 4.0097 loss_cls: 2.5940 loss_bbox: 1.4158 2024/10/27 11:44:03 - mmengine - INFO - Epoch(train) [98][2250/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:46:12 time: 0.2599 data_time: 0.0263 memory: 2049 grad_norm: 4.4270 loss: 3.8809 loss_cls: 2.5345 loss_bbox: 1.3464 2024/10/27 11:44:17 - mmengine - INFO - Epoch(train) [98][2300/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:46:00 time: 0.2975 data_time: 0.0762 memory: 2049 grad_norm: 4.5695 loss: 4.1098 loss_cls: 2.6667 loss_bbox: 1.4432 2024/10/27 11:44:30 - mmengine - INFO - Epoch(train) [98][2350/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:45:47 time: 0.2609 data_time: 0.0226 memory: 2049 grad_norm: 4.4683 loss: 3.9384 loss_cls: 2.5521 loss_bbox: 1.3863 2024/10/27 11:44:45 - mmengine - INFO - Epoch(train) [98][2400/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:45:35 time: 0.2835 data_time: 0.0240 memory: 2049 grad_norm: 4.7145 loss: 4.0320 loss_cls: 2.6218 loss_bbox: 1.4102 2024/10/27 11:44:58 - mmengine - INFO - Epoch(train) [98][2450/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:45:23 time: 0.2713 data_time: 0.0221 memory: 2049 grad_norm: 4.5860 loss: 3.9864 loss_cls: 2.5937 loss_bbox: 1.3927 2024/10/27 11:45:12 - mmengine - INFO - Epoch(train) [98][2500/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:45:10 time: 0.2671 data_time: 0.0222 memory: 2049 grad_norm: 4.5816 loss: 4.0266 loss_cls: 2.6170 loss_bbox: 1.4097 2024/10/27 11:45:24 - mmengine - INFO - Epoch(train) [98][2550/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:44:57 time: 0.2455 data_time: 0.0228 memory: 2049 grad_norm: 4.2912 loss: 4.0313 loss_cls: 2.6023 loss_bbox: 1.4290 2024/10/27 11:45:36 - mmengine - INFO - Epoch(train) [98][2600/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:44:45 time: 0.2472 data_time: 0.0243 memory: 2049 grad_norm: 4.8013 loss: 4.0074 loss_cls: 2.5709 loss_bbox: 1.4366 2024/10/27 11:45:50 - mmengine - INFO - Epoch(train) [98][2650/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:44:32 time: 0.2670 data_time: 0.0229 memory: 2049 grad_norm: 4.5378 loss: 4.0143 loss_cls: 2.6134 loss_bbox: 1.4008 2024/10/27 11:46:02 - mmengine - INFO - Epoch(train) [98][2700/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:44:20 time: 0.2537 data_time: 0.0245 memory: 2049 grad_norm: 4.5257 loss: 4.0488 loss_cls: 2.6508 loss_bbox: 1.3980 2024/10/27 11:46:19 - mmengine - INFO - Epoch(train) [98][2750/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:44:08 time: 0.3352 data_time: 0.0867 memory: 2049 grad_norm: 4.5309 loss: 4.0081 loss_cls: 2.6143 loss_bbox: 1.3938 2024/10/27 11:46:22 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:46:32 - mmengine - INFO - Epoch(train) [98][2800/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:43:56 time: 0.2509 data_time: 0.0247 memory: 2049 grad_norm: 5.1625 loss: 4.1138 loss_cls: 2.6193 loss_bbox: 1.4945 2024/10/27 11:46:45 - mmengine - INFO - Epoch(train) [98][2850/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:43:43 time: 0.2573 data_time: 0.0278 memory: 2049 grad_norm: 4.6069 loss: 4.0649 loss_cls: 2.6043 loss_bbox: 1.4606 2024/10/27 11:46:58 - mmengine - INFO - Epoch(train) [98][2900/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:43:31 time: 0.2676 data_time: 0.0238 memory: 2049 grad_norm: 4.2435 loss: 4.1264 loss_cls: 2.6233 loss_bbox: 1.5031 2024/10/27 11:47:10 - mmengine - INFO - Epoch(train) [98][2950/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:43:18 time: 0.2463 data_time: 0.0281 memory: 2049 grad_norm: 4.8121 loss: 4.1028 loss_cls: 2.6218 loss_bbox: 1.4810 2024/10/27 11:47:25 - mmengine - INFO - Epoch(train) [98][3000/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:43:06 time: 0.2919 data_time: 0.0348 memory: 2049 grad_norm: 4.4590 loss: 4.0348 loss_cls: 2.5840 loss_bbox: 1.4508 2024/10/27 11:47:37 - mmengine - INFO - Epoch(train) [98][3050/3054] base_lr: 7.6996e-04 lr: 7.6996e-04 eta: 4:42:53 time: 0.2407 data_time: 0.0235 memory: 2049 grad_norm: 4.6522 loss: 3.9409 loss_cls: 2.5532 loss_bbox: 1.3877 2024/10/27 11:47:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:47:38 - mmengine - INFO - Saving checkpoint at 98 epochs 2024/10/27 11:47:53 - mmengine - INFO - Epoch(train) [99][ 50/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:42:39 time: 0.2429 data_time: 0.0352 memory: 2049 grad_norm: 4.7948 loss: 4.0555 loss_cls: 2.6111 loss_bbox: 1.4444 2024/10/27 11:48:07 - mmengine - INFO - Epoch(train) [99][ 100/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:42:27 time: 0.2733 data_time: 0.0480 memory: 2049 grad_norm: 4.3261 loss: 3.9466 loss_cls: 2.5537 loss_bbox: 1.3929 2024/10/27 11:48:18 - mmengine - INFO - Epoch(train) [99][ 150/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:42:14 time: 0.2280 data_time: 0.0257 memory: 2049 grad_norm: 4.5147 loss: 3.8723 loss_cls: 2.5236 loss_bbox: 1.3486 2024/10/27 11:48:31 - mmengine - INFO - Epoch(train) [99][ 200/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:42:01 time: 0.2478 data_time: 0.0252 memory: 2049 grad_norm: 4.7746 loss: 3.9207 loss_cls: 2.5745 loss_bbox: 1.3462 2024/10/27 11:48:44 - mmengine - INFO - Epoch(train) [99][ 250/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:41:48 time: 0.2555 data_time: 0.0332 memory: 2049 grad_norm: 4.6430 loss: 3.9931 loss_cls: 2.5593 loss_bbox: 1.4338 2024/10/27 11:48:56 - mmengine - INFO - Epoch(train) [99][ 300/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:41:36 time: 0.2434 data_time: 0.0278 memory: 2049 grad_norm: 4.4562 loss: 3.9731 loss_cls: 2.5381 loss_bbox: 1.4350 2024/10/27 11:49:09 - mmengine - INFO - Epoch(train) [99][ 350/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:41:23 time: 0.2541 data_time: 0.0261 memory: 2049 grad_norm: 4.5353 loss: 4.0756 loss_cls: 2.6018 loss_bbox: 1.4738 2024/10/27 11:49:21 - mmengine - INFO - Epoch(train) [99][ 400/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:41:10 time: 0.2381 data_time: 0.0254 memory: 2049 grad_norm: 4.9460 loss: 3.9382 loss_cls: 2.5558 loss_bbox: 1.3824 2024/10/27 11:49:33 - mmengine - INFO - Epoch(train) [99][ 450/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:40:58 time: 0.2504 data_time: 0.0253 memory: 2049 grad_norm: 4.4359 loss: 3.9565 loss_cls: 2.5670 loss_bbox: 1.3895 2024/10/27 11:49:46 - mmengine - INFO - Epoch(train) [99][ 500/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:40:45 time: 0.2597 data_time: 0.0246 memory: 2049 grad_norm: 4.4165 loss: 4.0656 loss_cls: 2.6233 loss_bbox: 1.4423 2024/10/27 11:49:58 - mmengine - INFO - Epoch(train) [99][ 550/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:40:32 time: 0.2459 data_time: 0.0237 memory: 2049 grad_norm: 4.7357 loss: 3.8968 loss_cls: 2.5385 loss_bbox: 1.3582 2024/10/27 11:50:12 - mmengine - INFO - Epoch(train) [99][ 600/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:40:20 time: 0.2705 data_time: 0.0325 memory: 2049 grad_norm: 5.1574 loss: 3.9611 loss_cls: 2.5662 loss_bbox: 1.3949 2024/10/27 11:50:24 - mmengine - INFO - Epoch(train) [99][ 650/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:40:07 time: 0.2417 data_time: 0.0277 memory: 2049 grad_norm: 4.3741 loss: 3.9036 loss_cls: 2.5112 loss_bbox: 1.3924 2024/10/27 11:50:37 - mmengine - INFO - Epoch(train) [99][ 700/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:39:55 time: 0.2579 data_time: 0.0249 memory: 2049 grad_norm: 4.8899 loss: 4.0425 loss_cls: 2.5788 loss_bbox: 1.4638 2024/10/27 11:50:39 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:50:50 - mmengine - INFO - Epoch(train) [99][ 750/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:39:42 time: 0.2531 data_time: 0.0319 memory: 2049 grad_norm: 4.3929 loss: 4.0516 loss_cls: 2.5915 loss_bbox: 1.4601 2024/10/27 11:51:02 - mmengine - INFO - Epoch(train) [99][ 800/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:39:29 time: 0.2513 data_time: 0.0235 memory: 2049 grad_norm: 4.5092 loss: 3.9007 loss_cls: 2.5523 loss_bbox: 1.3484 2024/10/27 11:51:18 - mmengine - INFO - Epoch(train) [99][ 850/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:39:18 time: 0.3231 data_time: 0.1021 memory: 2049 grad_norm: 4.3564 loss: 4.0378 loss_cls: 2.5875 loss_bbox: 1.4503 2024/10/27 11:51:30 - mmengine - INFO - Epoch(train) [99][ 900/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:39:05 time: 0.2314 data_time: 0.0233 memory: 2049 grad_norm: 4.4765 loss: 3.9976 loss_cls: 2.5668 loss_bbox: 1.4309 2024/10/27 11:51:43 - mmengine - INFO - Epoch(train) [99][ 950/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:38:52 time: 0.2637 data_time: 0.0278 memory: 2049 grad_norm: 4.6626 loss: 4.0913 loss_cls: 2.6378 loss_bbox: 1.4535 2024/10/27 11:51:55 - mmengine - INFO - Epoch(train) [99][1000/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:38:40 time: 0.2447 data_time: 0.0258 memory: 2049 grad_norm: 4.6092 loss: 3.9794 loss_cls: 2.5621 loss_bbox: 1.4173 2024/10/27 11:52:08 - mmengine - INFO - Epoch(train) [99][1050/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:38:27 time: 0.2502 data_time: 0.0244 memory: 2049 grad_norm: 4.3558 loss: 3.9513 loss_cls: 2.5512 loss_bbox: 1.4000 2024/10/27 11:52:21 - mmengine - INFO - Epoch(train) [99][1100/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:38:14 time: 0.2530 data_time: 0.0279 memory: 2049 grad_norm: 4.3971 loss: 3.9818 loss_cls: 2.5642 loss_bbox: 1.4177 2024/10/27 11:52:32 - mmengine - INFO - Epoch(train) [99][1150/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:38:01 time: 0.2324 data_time: 0.0230 memory: 2049 grad_norm: 4.1274 loss: 3.9882 loss_cls: 2.5821 loss_bbox: 1.4061 2024/10/27 11:52:44 - mmengine - INFO - Epoch(train) [99][1200/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:37:49 time: 0.2451 data_time: 0.0230 memory: 2049 grad_norm: 4.8990 loss: 4.1246 loss_cls: 2.6481 loss_bbox: 1.4765 2024/10/27 11:52:57 - mmengine - INFO - Epoch(train) [99][1250/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:37:36 time: 0.2420 data_time: 0.0236 memory: 2049 grad_norm: 4.7657 loss: 3.9771 loss_cls: 2.5912 loss_bbox: 1.3859 2024/10/27 11:53:09 - mmengine - INFO - Epoch(train) [99][1300/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:37:23 time: 0.2532 data_time: 0.0240 memory: 2049 grad_norm: 4.5740 loss: 3.9287 loss_cls: 2.5717 loss_bbox: 1.3570 2024/10/27 11:53:22 - mmengine - INFO - Epoch(train) [99][1350/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:37:11 time: 0.2578 data_time: 0.0323 memory: 2049 grad_norm: 4.5892 loss: 3.9869 loss_cls: 2.5867 loss_bbox: 1.4002 2024/10/27 11:53:34 - mmengine - INFO - Epoch(train) [99][1400/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:36:58 time: 0.2375 data_time: 0.0226 memory: 2049 grad_norm: 4.2787 loss: 4.0996 loss_cls: 2.6283 loss_bbox: 1.4713 2024/10/27 11:53:47 - mmengine - INFO - Epoch(train) [99][1450/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:36:45 time: 0.2537 data_time: 0.0225 memory: 2049 grad_norm: 5.0956 loss: 4.0165 loss_cls: 2.5937 loss_bbox: 1.4228 2024/10/27 11:53:59 - mmengine - INFO - Epoch(train) [99][1500/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:36:32 time: 0.2440 data_time: 0.0303 memory: 2049 grad_norm: 4.7803 loss: 3.8995 loss_cls: 2.4999 loss_bbox: 1.3995 2024/10/27 11:54:11 - mmengine - INFO - Epoch(train) [99][1550/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:36:20 time: 0.2487 data_time: 0.0233 memory: 2049 grad_norm: 4.7788 loss: 4.1191 loss_cls: 2.6081 loss_bbox: 1.5110 2024/10/27 11:54:25 - mmengine - INFO - Epoch(train) [99][1600/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:36:07 time: 0.2605 data_time: 0.0242 memory: 2049 grad_norm: 5.0691 loss: 3.9467 loss_cls: 2.5618 loss_bbox: 1.3849 2024/10/27 11:54:36 - mmengine - INFO - Epoch(train) [99][1650/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:35:54 time: 0.2362 data_time: 0.0245 memory: 2049 grad_norm: 4.8733 loss: 3.9892 loss_cls: 2.6007 loss_bbox: 1.3884 2024/10/27 11:54:50 - mmengine - INFO - Epoch(train) [99][1700/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:35:42 time: 0.2669 data_time: 0.0308 memory: 2049 grad_norm: 5.2015 loss: 4.0283 loss_cls: 2.5711 loss_bbox: 1.4572 2024/10/27 11:54:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:55:02 - mmengine - INFO - Epoch(train) [99][1750/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:35:29 time: 0.2399 data_time: 0.0233 memory: 2049 grad_norm: 4.4517 loss: 3.9921 loss_cls: 2.5757 loss_bbox: 1.4164 2024/10/27 11:55:18 - mmengine - INFO - Epoch(train) [99][1800/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:35:17 time: 0.3208 data_time: 0.0929 memory: 2049 grad_norm: 4.8163 loss: 3.8878 loss_cls: 2.5176 loss_bbox: 1.3702 2024/10/27 11:55:31 - mmengine - INFO - Epoch(train) [99][1850/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:35:05 time: 0.2597 data_time: 0.0234 memory: 2049 grad_norm: 4.8443 loss: 4.0133 loss_cls: 2.5612 loss_bbox: 1.4521 2024/10/27 11:55:43 - mmengine - INFO - Epoch(train) [99][1900/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:34:52 time: 0.2399 data_time: 0.0243 memory: 2049 grad_norm: 4.4270 loss: 4.0706 loss_cls: 2.6214 loss_bbox: 1.4492 2024/10/27 11:55:56 - mmengine - INFO - Epoch(train) [99][1950/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:34:40 time: 0.2705 data_time: 0.0258 memory: 2049 grad_norm: 4.5579 loss: 3.9648 loss_cls: 2.5680 loss_bbox: 1.3968 2024/10/27 11:56:08 - mmengine - INFO - Epoch(train) [99][2000/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:34:27 time: 0.2368 data_time: 0.0234 memory: 2049 grad_norm: 4.2752 loss: 3.9228 loss_cls: 2.5553 loss_bbox: 1.3674 2024/10/27 11:56:21 - mmengine - INFO - Epoch(train) [99][2050/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:34:14 time: 0.2500 data_time: 0.0231 memory: 2049 grad_norm: 4.5186 loss: 3.9135 loss_cls: 2.5641 loss_bbox: 1.3494 2024/10/27 11:56:34 - mmengine - INFO - Epoch(train) [99][2100/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:34:02 time: 0.2610 data_time: 0.0241 memory: 2049 grad_norm: 4.9760 loss: 3.9939 loss_cls: 2.5907 loss_bbox: 1.4032 2024/10/27 11:56:46 - mmengine - INFO - Epoch(train) [99][2150/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:33:49 time: 0.2415 data_time: 0.0241 memory: 2049 grad_norm: 4.9168 loss: 4.0201 loss_cls: 2.5934 loss_bbox: 1.4267 2024/10/27 11:56:59 - mmengine - INFO - Epoch(train) [99][2200/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:33:37 time: 0.2708 data_time: 0.0243 memory: 2049 grad_norm: 5.0467 loss: 4.0159 loss_cls: 2.5890 loss_bbox: 1.4269 2024/10/27 11:57:12 - mmengine - INFO - Epoch(train) [99][2250/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:33:24 time: 0.2430 data_time: 0.0250 memory: 2049 grad_norm: 4.7226 loss: 3.9008 loss_cls: 2.5497 loss_bbox: 1.3511 2024/10/27 11:57:24 - mmengine - INFO - Epoch(train) [99][2300/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:33:11 time: 0.2498 data_time: 0.0238 memory: 2049 grad_norm: 4.5791 loss: 3.8976 loss_cls: 2.5520 loss_bbox: 1.3456 2024/10/27 11:57:37 - mmengine - INFO - Epoch(train) [99][2350/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:32:59 time: 0.2608 data_time: 0.0250 memory: 2049 grad_norm: 4.7396 loss: 3.9526 loss_cls: 2.5711 loss_bbox: 1.3815 2024/10/27 11:57:49 - mmengine - INFO - Epoch(train) [99][2400/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:32:46 time: 0.2438 data_time: 0.0239 memory: 2049 grad_norm: 4.8843 loss: 4.1269 loss_cls: 2.6384 loss_bbox: 1.4885 2024/10/27 11:58:03 - mmengine - INFO - Epoch(train) [99][2450/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:32:33 time: 0.2714 data_time: 0.0249 memory: 2049 grad_norm: 4.5359 loss: 3.9641 loss_cls: 2.5916 loss_bbox: 1.3725 2024/10/27 11:58:18 - mmengine - INFO - Epoch(train) [99][2500/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:32:21 time: 0.2956 data_time: 0.0708 memory: 2049 grad_norm: 4.6826 loss: 3.9992 loss_cls: 2.5916 loss_bbox: 1.4077 2024/10/27 11:58:31 - mmengine - INFO - Epoch(train) [99][2550/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:32:09 time: 0.2598 data_time: 0.0246 memory: 2049 grad_norm: 4.3601 loss: 4.0660 loss_cls: 2.6168 loss_bbox: 1.4491 2024/10/27 11:58:44 - mmengine - INFO - Epoch(train) [99][2600/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:31:56 time: 0.2599 data_time: 0.0238 memory: 2049 grad_norm: 4.9948 loss: 4.0618 loss_cls: 2.6198 loss_bbox: 1.4420 2024/10/27 11:58:56 - mmengine - INFO - Epoch(train) [99][2650/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:31:44 time: 0.2437 data_time: 0.0290 memory: 2049 grad_norm: 4.6439 loss: 4.0035 loss_cls: 2.5827 loss_bbox: 1.4208 2024/10/27 11:59:10 - mmengine - INFO - Epoch(train) [99][2700/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:31:31 time: 0.2769 data_time: 0.0239 memory: 2049 grad_norm: 4.4451 loss: 3.9298 loss_cls: 2.5344 loss_bbox: 1.3953 2024/10/27 11:59:12 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 11:59:22 - mmengine - INFO - Epoch(train) [99][2750/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:31:19 time: 0.2483 data_time: 0.0240 memory: 2049 grad_norm: 4.6924 loss: 3.9788 loss_cls: 2.5723 loss_bbox: 1.4065 2024/10/27 11:59:35 - mmengine - INFO - Epoch(train) [99][2800/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:31:06 time: 0.2571 data_time: 0.0282 memory: 2049 grad_norm: 4.9158 loss: 3.9275 loss_cls: 2.5601 loss_bbox: 1.3675 2024/10/27 11:59:48 - mmengine - INFO - Epoch(train) [99][2850/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:30:53 time: 0.2583 data_time: 0.0267 memory: 2049 grad_norm: 4.6442 loss: 3.9572 loss_cls: 2.5546 loss_bbox: 1.4026 2024/10/27 12:00:00 - mmengine - INFO - Epoch(train) [99][2900/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:30:41 time: 0.2427 data_time: 0.0240 memory: 2049 grad_norm: 4.6572 loss: 3.9278 loss_cls: 2.5281 loss_bbox: 1.3997 2024/10/27 12:00:14 - mmengine - INFO - Epoch(train) [99][2950/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:30:28 time: 0.2782 data_time: 0.0371 memory: 2049 grad_norm: 4.8552 loss: 4.0309 loss_cls: 2.5883 loss_bbox: 1.4426 2024/10/27 12:00:27 - mmengine - INFO - Epoch(train) [99][3000/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:30:16 time: 0.2478 data_time: 0.0244 memory: 2049 grad_norm: 5.3829 loss: 4.0452 loss_cls: 2.6084 loss_bbox: 1.4368 2024/10/27 12:00:40 - mmengine - INFO - Epoch(train) [99][3050/3054] base_lr: 7.1192e-04 lr: 7.1192e-04 eta: 4:30:03 time: 0.2578 data_time: 0.0234 memory: 2049 grad_norm: 4.9060 loss: 3.9629 loss_cls: 2.5783 loss_bbox: 1.3846 2024/10/27 12:00:40 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:00:40 - mmengine - INFO - Saving checkpoint at 99 epochs 2024/10/27 12:00:56 - mmengine - INFO - Epoch(train) [100][ 50/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:29:50 time: 0.2633 data_time: 0.0361 memory: 2049 grad_norm: 4.5448 loss: 3.8822 loss_cls: 2.5065 loss_bbox: 1.3757 2024/10/27 12:01:08 - mmengine - INFO - Epoch(train) [100][ 100/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:29:37 time: 0.2315 data_time: 0.0270 memory: 2049 grad_norm: 4.5835 loss: 3.9637 loss_cls: 2.5608 loss_bbox: 1.4030 2024/10/27 12:01:21 - mmengine - INFO - Epoch(train) [100][ 150/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:29:24 time: 0.2557 data_time: 0.0254 memory: 2049 grad_norm: 4.3387 loss: 3.8960 loss_cls: 2.5280 loss_bbox: 1.3680 2024/10/27 12:01:33 - mmengine - INFO - Epoch(train) [100][ 200/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:29:11 time: 0.2520 data_time: 0.0359 memory: 2049 grad_norm: 4.4241 loss: 3.9448 loss_cls: 2.5359 loss_bbox: 1.4089 2024/10/27 12:01:46 - mmengine - INFO - Epoch(train) [100][ 250/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:28:59 time: 0.2553 data_time: 0.0249 memory: 2049 grad_norm: 4.5305 loss: 4.1086 loss_cls: 2.6308 loss_bbox: 1.4778 2024/10/27 12:01:59 - mmengine - INFO - Epoch(train) [100][ 300/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:28:46 time: 0.2575 data_time: 0.0249 memory: 2049 grad_norm: 4.6332 loss: 3.9409 loss_cls: 2.5611 loss_bbox: 1.3799 2024/10/27 12:02:11 - mmengine - INFO - Epoch(train) [100][ 350/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:28:33 time: 0.2360 data_time: 0.0248 memory: 2049 grad_norm: 4.4607 loss: 3.8756 loss_cls: 2.5312 loss_bbox: 1.3445 2024/10/27 12:02:25 - mmengine - INFO - Epoch(train) [100][ 400/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:28:21 time: 0.2737 data_time: 0.0335 memory: 2049 grad_norm: 4.4842 loss: 3.8396 loss_cls: 2.5030 loss_bbox: 1.3365 2024/10/27 12:02:36 - mmengine - INFO - Epoch(train) [100][ 450/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:28:08 time: 0.2345 data_time: 0.0243 memory: 2049 grad_norm: 4.6573 loss: 3.9013 loss_cls: 2.5274 loss_bbox: 1.3740 2024/10/27 12:02:49 - mmengine - INFO - Epoch(train) [100][ 500/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:27:56 time: 0.2466 data_time: 0.0239 memory: 2049 grad_norm: 4.6808 loss: 3.9609 loss_cls: 2.5594 loss_bbox: 1.4015 2024/10/27 12:03:02 - mmengine - INFO - Epoch(train) [100][ 550/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:27:43 time: 0.2573 data_time: 0.0236 memory: 2049 grad_norm: 4.7199 loss: 4.0804 loss_cls: 2.6035 loss_bbox: 1.4769 2024/10/27 12:03:14 - mmengine - INFO - Epoch(train) [100][ 600/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:27:30 time: 0.2377 data_time: 0.0243 memory: 2049 grad_norm: 4.6128 loss: 3.9694 loss_cls: 2.5690 loss_bbox: 1.4003 2024/10/27 12:03:26 - mmengine - INFO - Epoch(train) [100][ 650/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:27:17 time: 0.2521 data_time: 0.0240 memory: 2049 grad_norm: 4.6624 loss: 3.9473 loss_cls: 2.5220 loss_bbox: 1.4253 2024/10/27 12:03:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:03:38 - mmengine - INFO - Epoch(train) [100][ 700/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:27:05 time: 0.2389 data_time: 0.0271 memory: 2049 grad_norm: 4.7333 loss: 3.9905 loss_cls: 2.5758 loss_bbox: 1.4147 2024/10/27 12:03:51 - mmengine - INFO - Epoch(train) [100][ 750/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:26:52 time: 0.2616 data_time: 0.0318 memory: 2049 grad_norm: 4.9849 loss: 3.9180 loss_cls: 2.5441 loss_bbox: 1.3739 2024/10/27 12:04:03 - mmengine - INFO - Epoch(train) [100][ 800/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:26:39 time: 0.2456 data_time: 0.0240 memory: 2049 grad_norm: 4.6088 loss: 3.9106 loss_cls: 2.5120 loss_bbox: 1.3986 2024/10/27 12:04:17 - mmengine - INFO - Epoch(train) [100][ 850/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:26:27 time: 0.2684 data_time: 0.0543 memory: 2049 grad_norm: 4.5033 loss: 3.9664 loss_cls: 2.5564 loss_bbox: 1.4100 2024/10/27 12:04:30 - mmengine - INFO - Epoch(train) [100][ 900/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:26:14 time: 0.2579 data_time: 0.0235 memory: 2049 grad_norm: 4.5564 loss: 3.8424 loss_cls: 2.5093 loss_bbox: 1.3331 2024/10/27 12:04:42 - mmengine - INFO - Epoch(train) [100][ 950/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:26:02 time: 0.2408 data_time: 0.0240 memory: 2049 grad_norm: 4.7644 loss: 3.9549 loss_cls: 2.5828 loss_bbox: 1.3721 2024/10/27 12:04:55 - mmengine - INFO - Epoch(train) [100][1000/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:25:49 time: 0.2588 data_time: 0.0261 memory: 2049 grad_norm: 5.3702 loss: 3.8786 loss_cls: 2.4899 loss_bbox: 1.3887 2024/10/27 12:05:07 - mmengine - INFO - Epoch(train) [100][1050/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:25:36 time: 0.2517 data_time: 0.0290 memory: 2049 grad_norm: 4.9352 loss: 3.9198 loss_cls: 2.5293 loss_bbox: 1.3905 2024/10/27 12:05:19 - mmengine - INFO - Epoch(train) [100][1100/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:25:24 time: 0.2386 data_time: 0.0240 memory: 2049 grad_norm: 4.5177 loss: 3.9510 loss_cls: 2.5800 loss_bbox: 1.3710 2024/10/27 12:05:32 - mmengine - INFO - Epoch(train) [100][1150/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:25:11 time: 0.2540 data_time: 0.0315 memory: 2049 grad_norm: 4.2330 loss: 3.9743 loss_cls: 2.5804 loss_bbox: 1.3938 2024/10/27 12:05:44 - mmengine - INFO - Epoch(train) [100][1200/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:24:58 time: 0.2331 data_time: 0.0253 memory: 2049 grad_norm: 4.6573 loss: 3.9818 loss_cls: 2.5790 loss_bbox: 1.4029 2024/10/27 12:05:57 - mmengine - INFO - Epoch(train) [100][1250/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:24:46 time: 0.2574 data_time: 0.0277 memory: 2049 grad_norm: 5.0403 loss: 4.0989 loss_cls: 2.6563 loss_bbox: 1.4426 2024/10/27 12:06:09 - mmengine - INFO - Epoch(train) [100][1300/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:24:33 time: 0.2472 data_time: 0.0255 memory: 2049 grad_norm: 4.8125 loss: 3.9656 loss_cls: 2.5431 loss_bbox: 1.4225 2024/10/27 12:06:21 - mmengine - INFO - Epoch(train) [100][1350/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:24:20 time: 0.2465 data_time: 0.0269 memory: 2049 grad_norm: 4.7115 loss: 3.9552 loss_cls: 2.5724 loss_bbox: 1.3828 2024/10/27 12:06:33 - mmengine - INFO - Epoch(train) [100][1400/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:24:07 time: 0.2381 data_time: 0.0256 memory: 2049 grad_norm: 4.7306 loss: 4.0097 loss_cls: 2.5578 loss_bbox: 1.4519 2024/10/27 12:06:46 - mmengine - INFO - Epoch(train) [100][1450/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:23:55 time: 0.2434 data_time: 0.0250 memory: 2049 grad_norm: 4.9187 loss: 3.9715 loss_cls: 2.5735 loss_bbox: 1.3980 2024/10/27 12:06:58 - mmengine - INFO - Epoch(train) [100][1500/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:23:42 time: 0.2432 data_time: 0.0262 memory: 2049 grad_norm: 4.9803 loss: 3.8770 loss_cls: 2.5182 loss_bbox: 1.3587 2024/10/27 12:07:10 - mmengine - INFO - Epoch(train) [100][1550/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:23:29 time: 0.2501 data_time: 0.0243 memory: 2049 grad_norm: 4.9900 loss: 3.8850 loss_cls: 2.5071 loss_bbox: 1.3779 2024/10/27 12:07:23 - mmengine - INFO - Epoch(train) [100][1600/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:23:17 time: 0.2568 data_time: 0.0343 memory: 2049 grad_norm: 4.5094 loss: 4.0130 loss_cls: 2.5906 loss_bbox: 1.4224 2024/10/27 12:07:35 - mmengine - INFO - Epoch(train) [100][1650/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:23:04 time: 0.2408 data_time: 0.0247 memory: 2049 grad_norm: 4.9034 loss: 4.0720 loss_cls: 2.5849 loss_bbox: 1.4871 2024/10/27 12:07:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:07:48 - mmengine - INFO - Epoch(train) [100][1700/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:22:51 time: 0.2578 data_time: 0.0281 memory: 2049 grad_norm: 5.0281 loss: 3.9504 loss_cls: 2.5356 loss_bbox: 1.4148 2024/10/27 12:08:01 - mmengine - INFO - Epoch(train) [100][1750/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:22:39 time: 0.2648 data_time: 0.0323 memory: 2049 grad_norm: 5.0559 loss: 3.8820 loss_cls: 2.5154 loss_bbox: 1.3665 2024/10/27 12:08:15 - mmengine - INFO - Epoch(train) [100][1800/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:22:26 time: 0.2642 data_time: 0.0266 memory: 2049 grad_norm: 4.4004 loss: 3.9327 loss_cls: 2.5611 loss_bbox: 1.3716 2024/10/27 12:08:28 - mmengine - INFO - Epoch(train) [100][1850/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:22:14 time: 0.2607 data_time: 0.0247 memory: 2049 grad_norm: 5.0488 loss: 3.9708 loss_cls: 2.5601 loss_bbox: 1.4108 2024/10/27 12:08:40 - mmengine - INFO - Epoch(train) [100][1900/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:22:01 time: 0.2513 data_time: 0.0281 memory: 2049 grad_norm: 4.9652 loss: 4.0442 loss_cls: 2.5730 loss_bbox: 1.4711 2024/10/27 12:08:53 - mmengine - INFO - Epoch(train) [100][1950/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:21:49 time: 0.2573 data_time: 0.0260 memory: 2049 grad_norm: 4.9938 loss: 3.9634 loss_cls: 2.5719 loss_bbox: 1.3915 2024/10/27 12:09:06 - mmengine - INFO - Epoch(train) [100][2000/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:21:36 time: 0.2665 data_time: 0.0262 memory: 2049 grad_norm: 4.6072 loss: 3.9335 loss_cls: 2.5705 loss_bbox: 1.3630 2024/10/27 12:09:19 - mmengine - INFO - Epoch(train) [100][2050/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:21:24 time: 0.2565 data_time: 0.0227 memory: 2049 grad_norm: 5.1741 loss: 3.9871 loss_cls: 2.5683 loss_bbox: 1.4187 2024/10/27 12:09:32 - mmengine - INFO - Epoch(train) [100][2100/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:21:11 time: 0.2622 data_time: 0.0232 memory: 2049 grad_norm: 5.0509 loss: 3.8910 loss_cls: 2.5317 loss_bbox: 1.3593 2024/10/27 12:09:45 - mmengine - INFO - Epoch(train) [100][2150/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:20:58 time: 0.2498 data_time: 0.0212 memory: 2049 grad_norm: 4.7629 loss: 4.0769 loss_cls: 2.6175 loss_bbox: 1.4594 2024/10/27 12:09:57 - mmengine - INFO - Epoch(train) [100][2200/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:20:46 time: 0.2432 data_time: 0.0223 memory: 2049 grad_norm: 4.4103 loss: 3.8643 loss_cls: 2.5252 loss_bbox: 1.3391 2024/10/27 12:10:10 - mmengine - INFO - Epoch(train) [100][2250/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:20:33 time: 0.2629 data_time: 0.0330 memory: 2049 grad_norm: 4.7570 loss: 3.8878 loss_cls: 2.5029 loss_bbox: 1.3849 2024/10/27 12:10:22 - mmengine - INFO - Epoch(train) [100][2300/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:20:20 time: 0.2441 data_time: 0.0206 memory: 2049 grad_norm: 5.2705 loss: 3.8868 loss_cls: 2.5259 loss_bbox: 1.3610 2024/10/27 12:10:35 - mmengine - INFO - Epoch(train) [100][2350/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:20:08 time: 0.2474 data_time: 0.0207 memory: 2049 grad_norm: 4.7949 loss: 3.9651 loss_cls: 2.5965 loss_bbox: 1.3686 2024/10/27 12:10:47 - mmengine - INFO - Epoch(train) [100][2400/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:19:55 time: 0.2479 data_time: 0.0315 memory: 2049 grad_norm: 4.7534 loss: 3.9288 loss_cls: 2.5433 loss_bbox: 1.3855 2024/10/27 12:11:01 - mmengine - INFO - Epoch(train) [100][2450/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:19:43 time: 0.2694 data_time: 0.0213 memory: 2049 grad_norm: 4.8093 loss: 3.9545 loss_cls: 2.5506 loss_bbox: 1.4039 2024/10/27 12:11:13 - mmengine - INFO - Epoch(train) [100][2500/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:19:30 time: 0.2450 data_time: 0.0224 memory: 2049 grad_norm: 5.2390 loss: 3.8917 loss_cls: 2.5666 loss_bbox: 1.3251 2024/10/27 12:11:25 - mmengine - INFO - Epoch(train) [100][2550/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:19:17 time: 0.2458 data_time: 0.0210 memory: 2049 grad_norm: 4.9850 loss: 3.9388 loss_cls: 2.5466 loss_bbox: 1.3921 2024/10/27 12:11:38 - mmengine - INFO - Epoch(train) [100][2600/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:19:05 time: 0.2589 data_time: 0.0294 memory: 2049 grad_norm: 4.5633 loss: 3.9328 loss_cls: 2.5367 loss_bbox: 1.3961 2024/10/27 12:11:50 - mmengine - INFO - Epoch(train) [100][2650/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:18:52 time: 0.2421 data_time: 0.0213 memory: 2049 grad_norm: 4.9426 loss: 3.8698 loss_cls: 2.5265 loss_bbox: 1.3433 2024/10/27 12:11:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:12:03 - mmengine - INFO - Epoch(train) [100][2700/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:18:39 time: 0.2542 data_time: 0.0286 memory: 2049 grad_norm: 4.8131 loss: 3.9337 loss_cls: 2.5494 loss_bbox: 1.3843 2024/10/27 12:12:18 - mmengine - INFO - Epoch(train) [100][2750/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:18:27 time: 0.2954 data_time: 0.0718 memory: 2049 grad_norm: 4.5282 loss: 4.0767 loss_cls: 2.6135 loss_bbox: 1.4632 2024/10/27 12:12:30 - mmengine - INFO - Epoch(train) [100][2800/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:18:14 time: 0.2406 data_time: 0.0234 memory: 2049 grad_norm: 4.6623 loss: 3.9838 loss_cls: 2.5842 loss_bbox: 1.3996 2024/10/27 12:12:43 - mmengine - INFO - Epoch(train) [100][2850/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:18:02 time: 0.2577 data_time: 0.0222 memory: 2049 grad_norm: 4.9524 loss: 3.9779 loss_cls: 2.5659 loss_bbox: 1.4120 2024/10/27 12:12:55 - mmengine - INFO - Epoch(train) [100][2900/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:17:49 time: 0.2458 data_time: 0.0215 memory: 2049 grad_norm: 4.9533 loss: 3.9144 loss_cls: 2.5214 loss_bbox: 1.3930 2024/10/27 12:13:08 - mmengine - INFO - Epoch(train) [100][2950/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:17:36 time: 0.2542 data_time: 0.0220 memory: 2049 grad_norm: 4.7070 loss: 4.0692 loss_cls: 2.6302 loss_bbox: 1.4390 2024/10/27 12:13:20 - mmengine - INFO - Epoch(train) [100][3000/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:17:24 time: 0.2466 data_time: 0.0237 memory: 2049 grad_norm: 4.9148 loss: 3.8670 loss_cls: 2.5219 loss_bbox: 1.3450 2024/10/27 12:13:33 - mmengine - INFO - Epoch(train) [100][3050/3054] base_lr: 6.5521e-04 lr: 6.5521e-04 eta: 4:17:11 time: 0.2493 data_time: 0.0211 memory: 2049 grad_norm: 4.8942 loss: 4.0381 loss_cls: 2.6031 loss_bbox: 1.4350 2024/10/27 12:13:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:13:33 - mmengine - INFO - Saving checkpoint at 100 epochs 2024/10/27 12:13:38 - mmengine - INFO - Epoch(val) [100][50/79] eta: 0:00:01 time: 0.0406 data_time: 0.0048 memory: 2049 2024/10/27 12:13:49 - mmengine - INFO - Evaluating bbox... 2024/10/27 12:14:44 - mmengine - INFO - bbox_mAP_copypaste: 0.216 0.360 0.220 0.022 0.206 0.422 2024/10/27 12:14:45 - mmengine - INFO - Epoch(val) [100][79/79] coco/bbox_mAP: 0.2160 coco/bbox_mAP_50: 0.3600 coco/bbox_mAP_75: 0.2200 coco/bbox_mAP_s: 0.0220 coco/bbox_mAP_m: 0.2060 coco/bbox_mAP_l: 0.4220 data_time: 0.0044 time: 0.0397 2024/10/27 12:14:58 - mmengine - INFO - Epoch(train) [101][ 50/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:16:57 time: 0.2557 data_time: 0.0351 memory: 2049 grad_norm: 4.5986 loss: 3.9563 loss_cls: 2.5611 loss_bbox: 1.3952 2024/10/27 12:15:10 - mmengine - INFO - Epoch(train) [101][ 100/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:16:45 time: 0.2405 data_time: 0.0237 memory: 2049 grad_norm: 4.4302 loss: 3.8926 loss_cls: 2.5384 loss_bbox: 1.3542 2024/10/27 12:15:22 - mmengine - INFO - Epoch(train) [101][ 150/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:16:32 time: 0.2504 data_time: 0.0270 memory: 2049 grad_norm: 4.8553 loss: 3.8554 loss_cls: 2.4990 loss_bbox: 1.3565 2024/10/27 12:15:34 - mmengine - INFO - Epoch(train) [101][ 200/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:16:19 time: 0.2315 data_time: 0.0221 memory: 2049 grad_norm: 5.1028 loss: 3.8862 loss_cls: 2.4981 loss_bbox: 1.3881 2024/10/27 12:15:47 - mmengine - INFO - Epoch(train) [101][ 250/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:16:06 time: 0.2525 data_time: 0.0222 memory: 2049 grad_norm: 4.6386 loss: 4.0451 loss_cls: 2.5845 loss_bbox: 1.4606 2024/10/27 12:15:58 - mmengine - INFO - Epoch(train) [101][ 300/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:15:54 time: 0.2382 data_time: 0.0240 memory: 2049 grad_norm: 4.8682 loss: 3.8590 loss_cls: 2.5099 loss_bbox: 1.3490 2024/10/27 12:16:11 - mmengine - INFO - Epoch(train) [101][ 350/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:15:41 time: 0.2501 data_time: 0.0243 memory: 2049 grad_norm: 4.6050 loss: 3.9527 loss_cls: 2.5591 loss_bbox: 1.3936 2024/10/27 12:16:23 - mmengine - INFO - Epoch(train) [101][ 400/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:15:28 time: 0.2479 data_time: 0.0319 memory: 2049 grad_norm: 4.6965 loss: 3.8769 loss_cls: 2.5045 loss_bbox: 1.3725 2024/10/27 12:16:35 - mmengine - INFO - Epoch(train) [101][ 450/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:15:15 time: 0.2375 data_time: 0.0242 memory: 2049 grad_norm: 5.3062 loss: 3.8538 loss_cls: 2.4907 loss_bbox: 1.3630 2024/10/27 12:16:48 - mmengine - INFO - Epoch(train) [101][ 500/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:15:03 time: 0.2446 data_time: 0.0239 memory: 2049 grad_norm: 4.7932 loss: 3.9641 loss_cls: 2.5495 loss_bbox: 1.4147 2024/10/27 12:16:59 - mmengine - INFO - Epoch(train) [101][ 550/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:14:50 time: 0.2379 data_time: 0.0246 memory: 2049 grad_norm: 4.7324 loss: 3.9524 loss_cls: 2.5485 loss_bbox: 1.4038 2024/10/27 12:17:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:17:11 - mmengine - INFO - Epoch(train) [101][ 600/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:14:37 time: 0.2383 data_time: 0.0238 memory: 2049 grad_norm: 4.5940 loss: 3.9196 loss_cls: 2.5319 loss_bbox: 1.3877 2024/10/27 12:17:24 - mmengine - INFO - Epoch(train) [101][ 650/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:14:24 time: 0.2491 data_time: 0.0304 memory: 2049 grad_norm: 4.4932 loss: 3.9530 loss_cls: 2.5364 loss_bbox: 1.4166 2024/10/27 12:17:36 - mmengine - INFO - Epoch(train) [101][ 700/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:14:12 time: 0.2368 data_time: 0.0241 memory: 2049 grad_norm: 4.6151 loss: 3.9649 loss_cls: 2.5702 loss_bbox: 1.3947 2024/10/27 12:17:48 - mmengine - INFO - Epoch(train) [101][ 750/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:13:59 time: 0.2447 data_time: 0.0237 memory: 2049 grad_norm: 4.8989 loss: 3.8228 loss_cls: 2.5261 loss_bbox: 1.2968 2024/10/27 12:18:00 - mmengine - INFO - Epoch(train) [101][ 800/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:13:46 time: 0.2379 data_time: 0.0241 memory: 2049 grad_norm: 4.4746 loss: 3.9392 loss_cls: 2.5539 loss_bbox: 1.3853 2024/10/27 12:18:13 - mmengine - INFO - Epoch(train) [101][ 850/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:13:33 time: 0.2541 data_time: 0.0300 memory: 2049 grad_norm: 4.5710 loss: 3.9594 loss_cls: 2.5415 loss_bbox: 1.4179 2024/10/27 12:18:25 - mmengine - INFO - Epoch(train) [101][ 900/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:13:21 time: 0.2394 data_time: 0.0242 memory: 2049 grad_norm: 5.0049 loss: 3.9531 loss_cls: 2.5414 loss_bbox: 1.4118 2024/10/27 12:18:37 - mmengine - INFO - Epoch(train) [101][ 950/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:13:08 time: 0.2475 data_time: 0.0267 memory: 2049 grad_norm: 4.7426 loss: 3.9609 loss_cls: 2.5394 loss_bbox: 1.4215 2024/10/27 12:18:50 - mmengine - INFO - Epoch(train) [101][1000/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:12:55 time: 0.2561 data_time: 0.0280 memory: 2049 grad_norm: 4.5888 loss: 3.9526 loss_cls: 2.5466 loss_bbox: 1.4060 2024/10/27 12:19:02 - mmengine - INFO - Epoch(train) [101][1050/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:12:43 time: 0.2435 data_time: 0.0236 memory: 2049 grad_norm: 4.7492 loss: 4.0010 loss_cls: 2.5277 loss_bbox: 1.4732 2024/10/27 12:19:18 - mmengine - INFO - Epoch(train) [101][1100/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:12:31 time: 0.3186 data_time: 0.0891 memory: 2049 grad_norm: 4.5260 loss: 3.9859 loss_cls: 2.5790 loss_bbox: 1.4069 2024/10/27 12:19:30 - mmengine - INFO - Epoch(train) [101][1150/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:12:18 time: 0.2447 data_time: 0.0237 memory: 2049 grad_norm: 4.7306 loss: 3.9686 loss_cls: 2.5722 loss_bbox: 1.3965 2024/10/27 12:19:43 - mmengine - INFO - Epoch(train) [101][1200/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:12:05 time: 0.2490 data_time: 0.0235 memory: 2049 grad_norm: 4.7912 loss: 3.9403 loss_cls: 2.5268 loss_bbox: 1.4135 2024/10/27 12:19:55 - mmengine - INFO - Epoch(train) [101][1250/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:11:53 time: 0.2538 data_time: 0.0255 memory: 2049 grad_norm: 5.0293 loss: 3.9450 loss_cls: 2.5567 loss_bbox: 1.3883 2024/10/27 12:20:08 - mmengine - INFO - Epoch(train) [101][1300/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:11:40 time: 0.2519 data_time: 0.0234 memory: 2049 grad_norm: 5.0018 loss: 3.9337 loss_cls: 2.5554 loss_bbox: 1.3784 2024/10/27 12:20:21 - mmengine - INFO - Epoch(train) [101][1350/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:11:28 time: 0.2524 data_time: 0.0243 memory: 2049 grad_norm: 4.4919 loss: 3.8798 loss_cls: 2.5053 loss_bbox: 1.3745 2024/10/27 12:20:33 - mmengine - INFO - Epoch(train) [101][1400/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:11:15 time: 0.2476 data_time: 0.0279 memory: 2049 grad_norm: 5.0452 loss: 3.9678 loss_cls: 2.5397 loss_bbox: 1.4280 2024/10/27 12:20:46 - mmengine - INFO - Epoch(train) [101][1450/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:11:02 time: 0.2543 data_time: 0.0287 memory: 2049 grad_norm: 4.8531 loss: 3.9028 loss_cls: 2.5491 loss_bbox: 1.3537 2024/10/27 12:20:58 - mmengine - INFO - Epoch(train) [101][1500/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:10:50 time: 0.2533 data_time: 0.0232 memory: 2049 grad_norm: 4.6456 loss: 3.9135 loss_cls: 2.5200 loss_bbox: 1.3935 2024/10/27 12:21:11 - mmengine - INFO - Epoch(train) [101][1550/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:10:37 time: 0.2494 data_time: 0.0252 memory: 2049 grad_norm: 4.5649 loss: 3.9203 loss_cls: 2.4914 loss_bbox: 1.4290 2024/10/27 12:21:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:21:24 - mmengine - INFO - Epoch(train) [101][1600/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:10:24 time: 0.2646 data_time: 0.0228 memory: 2049 grad_norm: 4.6721 loss: 3.9047 loss_cls: 2.5257 loss_bbox: 1.3790 2024/10/27 12:21:36 - mmengine - INFO - Epoch(train) [101][1650/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:10:12 time: 0.2452 data_time: 0.0242 memory: 2049 grad_norm: 5.0884 loss: 3.9357 loss_cls: 2.5409 loss_bbox: 1.3948 2024/10/27 12:21:49 - mmengine - INFO - Epoch(train) [101][1700/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:09:59 time: 0.2442 data_time: 0.0240 memory: 2049 grad_norm: 4.8379 loss: 3.9957 loss_cls: 2.5419 loss_bbox: 1.4538 2024/10/27 12:22:01 - mmengine - INFO - Epoch(train) [101][1750/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:09:46 time: 0.2527 data_time: 0.0237 memory: 2049 grad_norm: 5.1262 loss: 3.8952 loss_cls: 2.5162 loss_bbox: 1.3790 2024/10/27 12:22:18 - mmengine - INFO - Epoch(train) [101][1800/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:09:35 time: 0.3393 data_time: 0.1065 memory: 2049 grad_norm: 4.5972 loss: 3.8949 loss_cls: 2.4925 loss_bbox: 1.4024 2024/10/27 12:22:31 - mmengine - INFO - Epoch(train) [101][1850/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:09:22 time: 0.2567 data_time: 0.0252 memory: 2049 grad_norm: 5.1836 loss: 4.0069 loss_cls: 2.5654 loss_bbox: 1.4415 2024/10/27 12:22:44 - mmengine - INFO - Epoch(train) [101][1900/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:09:10 time: 0.2537 data_time: 0.0233 memory: 2049 grad_norm: 5.0126 loss: 3.8847 loss_cls: 2.5200 loss_bbox: 1.3647 2024/10/27 12:22:57 - mmengine - INFO - Epoch(train) [101][1950/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:08:57 time: 0.2648 data_time: 0.0274 memory: 2049 grad_norm: 4.7785 loss: 3.9570 loss_cls: 2.5497 loss_bbox: 1.4072 2024/10/27 12:23:09 - mmengine - INFO - Epoch(train) [101][2000/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:08:44 time: 0.2500 data_time: 0.0235 memory: 2049 grad_norm: 5.1952 loss: 3.9902 loss_cls: 2.5295 loss_bbox: 1.4607 2024/10/27 12:23:23 - mmengine - INFO - Epoch(train) [101][2050/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:08:32 time: 0.2643 data_time: 0.0214 memory: 2049 grad_norm: 4.7685 loss: 3.9291 loss_cls: 2.5240 loss_bbox: 1.4051 2024/10/27 12:23:35 - mmengine - INFO - Epoch(train) [101][2100/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:08:19 time: 0.2543 data_time: 0.0217 memory: 2049 grad_norm: 5.2581 loss: 3.9565 loss_cls: 2.5316 loss_bbox: 1.4249 2024/10/27 12:23:48 - mmengine - INFO - Epoch(train) [101][2150/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:08:07 time: 0.2592 data_time: 0.0231 memory: 2049 grad_norm: 4.3664 loss: 3.8888 loss_cls: 2.5217 loss_bbox: 1.3671 2024/10/27 12:24:02 - mmengine - INFO - Epoch(train) [101][2200/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:07:54 time: 0.2647 data_time: 0.0203 memory: 2049 grad_norm: 4.8948 loss: 3.8840 loss_cls: 2.5255 loss_bbox: 1.3585 2024/10/27 12:24:18 - mmengine - INFO - Epoch(train) [101][2250/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:07:42 time: 0.3178 data_time: 0.0876 memory: 2049 grad_norm: 4.7740 loss: 3.8789 loss_cls: 2.4897 loss_bbox: 1.3892 2024/10/27 12:24:31 - mmengine - INFO - Epoch(train) [101][2300/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:07:30 time: 0.2612 data_time: 0.0203 memory: 2049 grad_norm: 5.3997 loss: 3.9320 loss_cls: 2.5272 loss_bbox: 1.4048 2024/10/27 12:24:43 - mmengine - INFO - Epoch(train) [101][2350/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:07:17 time: 0.2551 data_time: 0.0197 memory: 2049 grad_norm: 5.1437 loss: 3.9329 loss_cls: 2.5334 loss_bbox: 1.3995 2024/10/27 12:24:56 - mmengine - INFO - Epoch(train) [101][2400/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:07:05 time: 0.2500 data_time: 0.0201 memory: 2049 grad_norm: 4.7832 loss: 3.8702 loss_cls: 2.5033 loss_bbox: 1.3670 2024/10/27 12:25:10 - mmengine - INFO - Epoch(train) [101][2450/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:06:52 time: 0.2794 data_time: 0.0279 memory: 2049 grad_norm: 4.9606 loss: 3.8876 loss_cls: 2.5000 loss_bbox: 1.3875 2024/10/27 12:25:22 - mmengine - INFO - Epoch(train) [101][2500/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:06:40 time: 0.2455 data_time: 0.0192 memory: 2049 grad_norm: 4.8755 loss: 3.9804 loss_cls: 2.5488 loss_bbox: 1.4316 2024/10/27 12:25:36 - mmengine - INFO - Epoch(train) [101][2550/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:06:27 time: 0.2670 data_time: 0.0198 memory: 2049 grad_norm: 5.3654 loss: 4.0306 loss_cls: 2.5942 loss_bbox: 1.4364 2024/10/27 12:25:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:25:48 - mmengine - INFO - Epoch(train) [101][2600/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:06:14 time: 0.2551 data_time: 0.0287 memory: 2049 grad_norm: 4.5772 loss: 3.9072 loss_cls: 2.5692 loss_bbox: 1.3379 2024/10/27 12:26:01 - mmengine - INFO - Epoch(train) [101][2650/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:06:02 time: 0.2472 data_time: 0.0198 memory: 2049 grad_norm: 5.0626 loss: 3.8916 loss_cls: 2.5408 loss_bbox: 1.3508 2024/10/27 12:26:14 - mmengine - INFO - Epoch(train) [101][2700/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:05:49 time: 0.2762 data_time: 0.0210 memory: 2049 grad_norm: 5.1255 loss: 3.9736 loss_cls: 2.5486 loss_bbox: 1.4249 2024/10/27 12:26:27 - mmengine - INFO - Epoch(train) [101][2750/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:05:37 time: 0.2437 data_time: 0.0228 memory: 2049 grad_norm: 4.7962 loss: 3.7721 loss_cls: 2.4771 loss_bbox: 1.2950 2024/10/27 12:26:40 - mmengine - INFO - Epoch(train) [101][2800/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:05:24 time: 0.2653 data_time: 0.0195 memory: 2049 grad_norm: 5.4172 loss: 3.9195 loss_cls: 2.5112 loss_bbox: 1.4082 2024/10/27 12:26:52 - mmengine - INFO - Epoch(train) [101][2850/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:05:12 time: 0.2491 data_time: 0.0205 memory: 2049 grad_norm: 4.6514 loss: 3.8373 loss_cls: 2.5020 loss_bbox: 1.3353 2024/10/27 12:27:05 - mmengine - INFO - Epoch(train) [101][2900/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:04:59 time: 0.2470 data_time: 0.0211 memory: 2049 grad_norm: 4.9165 loss: 3.8638 loss_cls: 2.5160 loss_bbox: 1.3478 2024/10/27 12:27:19 - mmengine - INFO - Epoch(train) [101][2950/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:04:46 time: 0.2775 data_time: 0.0291 memory: 2049 grad_norm: 4.8853 loss: 3.9958 loss_cls: 2.5942 loss_bbox: 1.4016 2024/10/27 12:27:31 - mmengine - INFO - Epoch(train) [101][3000/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:04:34 time: 0.2439 data_time: 0.0204 memory: 2049 grad_norm: 4.7426 loss: 3.9661 loss_cls: 2.5608 loss_bbox: 1.4053 2024/10/27 12:27:44 - mmengine - INFO - Epoch(train) [101][3050/3054] base_lr: 6.0000e-04 lr: 6.0000e-04 eta: 4:04:21 time: 0.2533 data_time: 0.0203 memory: 2049 grad_norm: 4.9512 loss: 3.9744 loss_cls: 2.5816 loss_bbox: 1.3928 2024/10/27 12:27:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:27:44 - mmengine - INFO - Saving checkpoint at 101 epochs 2024/10/27 12:27:59 - mmengine - INFO - Epoch(train) [102][ 50/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:04:07 time: 0.2469 data_time: 0.0338 memory: 2049 grad_norm: 5.2177 loss: 3.7990 loss_cls: 2.4475 loss_bbox: 1.3514 2024/10/27 12:28:12 - mmengine - INFO - Epoch(train) [102][ 100/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:03:55 time: 0.2494 data_time: 0.0257 memory: 2049 grad_norm: 5.2346 loss: 3.8266 loss_cls: 2.4917 loss_bbox: 1.3349 2024/10/27 12:28:24 - mmengine - INFO - Epoch(train) [102][ 150/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:03:42 time: 0.2487 data_time: 0.0267 memory: 2049 grad_norm: 4.7418 loss: 3.8118 loss_cls: 2.4738 loss_bbox: 1.3380 2024/10/27 12:28:36 - mmengine - INFO - Epoch(train) [102][ 200/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:03:29 time: 0.2406 data_time: 0.0255 memory: 2049 grad_norm: 5.0155 loss: 3.8897 loss_cls: 2.4823 loss_bbox: 1.4074 2024/10/27 12:28:49 - mmengine - INFO - Epoch(train) [102][ 250/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:03:17 time: 0.2634 data_time: 0.0333 memory: 2049 grad_norm: 4.7984 loss: 3.8644 loss_cls: 2.5292 loss_bbox: 1.3352 2024/10/27 12:29:01 - mmengine - INFO - Epoch(train) [102][ 300/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:03:04 time: 0.2316 data_time: 0.0257 memory: 2049 grad_norm: 4.5957 loss: 3.7996 loss_cls: 2.4839 loss_bbox: 1.3157 2024/10/27 12:29:13 - mmengine - INFO - Epoch(train) [102][ 350/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:02:51 time: 0.2421 data_time: 0.0262 memory: 2049 grad_norm: 4.9050 loss: 3.9661 loss_cls: 2.5306 loss_bbox: 1.4355 2024/10/27 12:29:26 - mmengine - INFO - Epoch(train) [102][ 400/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:02:39 time: 0.2581 data_time: 0.0257 memory: 2049 grad_norm: 5.3999 loss: 3.9011 loss_cls: 2.5341 loss_bbox: 1.3670 2024/10/27 12:29:38 - mmengine - INFO - Epoch(train) [102][ 450/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:02:26 time: 0.2365 data_time: 0.0260 memory: 2049 grad_norm: 4.8725 loss: 3.9267 loss_cls: 2.5391 loss_bbox: 1.3876 2024/10/27 12:29:51 - mmengine - INFO - Epoch(train) [102][ 500/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:02:13 time: 0.2659 data_time: 0.0257 memory: 2049 grad_norm: 4.9032 loss: 3.8288 loss_cls: 2.4631 loss_bbox: 1.3656 2024/10/27 12:30:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:30:03 - mmengine - INFO - Epoch(train) [102][ 550/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:02:00 time: 0.2367 data_time: 0.0254 memory: 2049 grad_norm: 4.7858 loss: 3.8685 loss_cls: 2.5308 loss_bbox: 1.3377 2024/10/27 12:30:18 - mmengine - INFO - Epoch(train) [102][ 600/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:01:48 time: 0.2999 data_time: 0.0729 memory: 2049 grad_norm: 4.8117 loss: 3.8917 loss_cls: 2.4985 loss_bbox: 1.3932 2024/10/27 12:30:31 - mmengine - INFO - Epoch(train) [102][ 650/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:01:36 time: 0.2627 data_time: 0.0253 memory: 2049 grad_norm: 4.8514 loss: 4.0732 loss_cls: 2.6240 loss_bbox: 1.4491 2024/10/27 12:30:43 - mmengine - INFO - Epoch(train) [102][ 700/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:01:23 time: 0.2448 data_time: 0.0252 memory: 2049 grad_norm: 4.9831 loss: 3.8267 loss_cls: 2.4896 loss_bbox: 1.3371 2024/10/27 12:30:58 - mmengine - INFO - Epoch(train) [102][ 750/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:01:11 time: 0.2900 data_time: 0.0344 memory: 2049 grad_norm: 4.8926 loss: 3.9463 loss_cls: 2.5710 loss_bbox: 1.3753 2024/10/27 12:31:10 - mmengine - INFO - Epoch(train) [102][ 800/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:00:58 time: 0.2409 data_time: 0.0260 memory: 2049 grad_norm: 4.6769 loss: 3.8423 loss_cls: 2.4846 loss_bbox: 1.3577 2024/10/27 12:31:24 - mmengine - INFO - Epoch(train) [102][ 850/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:00:46 time: 0.2695 data_time: 0.0247 memory: 2049 grad_norm: 4.3866 loss: 3.8074 loss_cls: 2.4792 loss_bbox: 1.3282 2024/10/27 12:31:36 - mmengine - INFO - Epoch(train) [102][ 900/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:00:33 time: 0.2589 data_time: 0.0247 memory: 2049 grad_norm: 5.0045 loss: 3.8716 loss_cls: 2.5197 loss_bbox: 1.3519 2024/10/27 12:31:49 - mmengine - INFO - Epoch(train) [102][ 950/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:00:20 time: 0.2404 data_time: 0.0259 memory: 2049 grad_norm: 4.9525 loss: 3.9590 loss_cls: 2.5477 loss_bbox: 1.4112 2024/10/27 12:32:02 - mmengine - INFO - Epoch(train) [102][1000/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 4:00:08 time: 0.2790 data_time: 0.0254 memory: 2049 grad_norm: 4.9949 loss: 3.8624 loss_cls: 2.4604 loss_bbox: 1.4020 2024/10/27 12:32:18 - mmengine - INFO - Epoch(train) [102][1050/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:59:56 time: 0.3166 data_time: 0.0930 memory: 2049 grad_norm: 4.7068 loss: 3.9166 loss_cls: 2.5381 loss_bbox: 1.3785 2024/10/27 12:32:32 - mmengine - INFO - Epoch(train) [102][1100/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:59:44 time: 0.2752 data_time: 0.0285 memory: 2049 grad_norm: 5.1828 loss: 3.8657 loss_cls: 2.4893 loss_bbox: 1.3763 2024/10/27 12:32:45 - mmengine - INFO - Epoch(train) [102][1150/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:59:31 time: 0.2590 data_time: 0.0252 memory: 2049 grad_norm: 4.9800 loss: 3.8267 loss_cls: 2.4860 loss_bbox: 1.3407 2024/10/27 12:32:57 - mmengine - INFO - Epoch(train) [102][1200/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:59:18 time: 0.2427 data_time: 0.0270 memory: 2049 grad_norm: 4.7085 loss: 3.8803 loss_cls: 2.5040 loss_bbox: 1.3763 2024/10/27 12:33:11 - mmengine - INFO - Epoch(train) [102][1250/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:59:06 time: 0.2701 data_time: 0.0255 memory: 2049 grad_norm: 4.9501 loss: 3.8113 loss_cls: 2.4582 loss_bbox: 1.3532 2024/10/27 12:33:24 - mmengine - INFO - Epoch(train) [102][1300/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:58:53 time: 0.2589 data_time: 0.0360 memory: 2049 grad_norm: 5.1405 loss: 3.9008 loss_cls: 2.4961 loss_bbox: 1.4047 2024/10/27 12:33:38 - mmengine - INFO - Epoch(train) [102][1350/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:58:41 time: 0.2778 data_time: 0.0316 memory: 2049 grad_norm: 4.8877 loss: 3.8337 loss_cls: 2.4965 loss_bbox: 1.3372 2024/10/27 12:33:50 - mmengine - INFO - Epoch(train) [102][1400/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:58:28 time: 0.2529 data_time: 0.0330 memory: 2049 grad_norm: 4.6934 loss: 3.9605 loss_cls: 2.5786 loss_bbox: 1.3819 2024/10/27 12:34:03 - mmengine - INFO - Epoch(train) [102][1450/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:58:16 time: 0.2441 data_time: 0.0261 memory: 2049 grad_norm: 4.7511 loss: 3.8362 loss_cls: 2.4826 loss_bbox: 1.3536 2024/10/27 12:34:19 - mmengine - INFO - Epoch(train) [102][1500/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:58:04 time: 0.3299 data_time: 0.0748 memory: 2049 grad_norm: 4.5038 loss: 3.9389 loss_cls: 2.5446 loss_bbox: 1.3943 2024/10/27 12:34:31 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:34:32 - mmengine - INFO - Epoch(train) [102][1550/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:57:51 time: 0.2505 data_time: 0.0209 memory: 2049 grad_norm: 5.1712 loss: 4.0362 loss_cls: 2.5606 loss_bbox: 1.4756 2024/10/27 12:34:45 - mmengine - INFO - Epoch(train) [102][1600/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:57:39 time: 0.2615 data_time: 0.0227 memory: 2049 grad_norm: 5.1128 loss: 3.9166 loss_cls: 2.5151 loss_bbox: 1.4016 2024/10/27 12:34:58 - mmengine - INFO - Epoch(train) [102][1650/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:57:26 time: 0.2599 data_time: 0.0276 memory: 2049 grad_norm: 5.1396 loss: 3.9395 loss_cls: 2.5626 loss_bbox: 1.3770 2024/10/27 12:35:10 - mmengine - INFO - Epoch(train) [102][1700/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:57:13 time: 0.2420 data_time: 0.0219 memory: 2049 grad_norm: 5.1157 loss: 3.9094 loss_cls: 2.5230 loss_bbox: 1.3864 2024/10/27 12:35:23 - mmengine - INFO - Epoch(train) [102][1750/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:57:01 time: 0.2731 data_time: 0.0269 memory: 2049 grad_norm: 4.9601 loss: 3.8720 loss_cls: 2.5021 loss_bbox: 1.3699 2024/10/27 12:35:36 - mmengine - INFO - Epoch(train) [102][1800/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:56:48 time: 0.2474 data_time: 0.0211 memory: 2049 grad_norm: 5.1502 loss: 3.8643 loss_cls: 2.4844 loss_bbox: 1.3800 2024/10/27 12:35:48 - mmengine - INFO - Epoch(train) [102][1850/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:56:36 time: 0.2496 data_time: 0.0206 memory: 2049 grad_norm: 5.2464 loss: 3.9767 loss_cls: 2.5712 loss_bbox: 1.4055 2024/10/27 12:36:01 - mmengine - INFO - Epoch(train) [102][1900/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:56:23 time: 0.2624 data_time: 0.0293 memory: 2049 grad_norm: 4.9218 loss: 3.8544 loss_cls: 2.5126 loss_bbox: 1.3418 2024/10/27 12:36:17 - mmengine - INFO - Epoch(train) [102][1950/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:56:11 time: 0.3116 data_time: 0.0955 memory: 2049 grad_norm: 5.2997 loss: 3.9179 loss_cls: 2.5242 loss_bbox: 1.3937 2024/10/27 12:36:30 - mmengine - INFO - Epoch(train) [102][2000/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:55:59 time: 0.2659 data_time: 0.0203 memory: 2049 grad_norm: 5.0903 loss: 3.8143 loss_cls: 2.4869 loss_bbox: 1.3274 2024/10/27 12:36:43 - mmengine - INFO - Epoch(train) [102][2050/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:55:46 time: 0.2531 data_time: 0.0274 memory: 2049 grad_norm: 5.0453 loss: 3.8739 loss_cls: 2.4844 loss_bbox: 1.3895 2024/10/27 12:36:55 - mmengine - INFO - Epoch(train) [102][2100/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:55:33 time: 0.2395 data_time: 0.0242 memory: 2049 grad_norm: 5.1716 loss: 3.9726 loss_cls: 2.5468 loss_bbox: 1.4258 2024/10/27 12:37:08 - mmengine - INFO - Epoch(train) [102][2150/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:55:21 time: 0.2621 data_time: 0.0264 memory: 2049 grad_norm: 5.2339 loss: 3.8260 loss_cls: 2.5039 loss_bbox: 1.3221 2024/10/27 12:37:20 - mmengine - INFO - Epoch(train) [102][2200/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:55:08 time: 0.2381 data_time: 0.0228 memory: 2049 grad_norm: 5.0859 loss: 3.8844 loss_cls: 2.5009 loss_bbox: 1.3835 2024/10/27 12:37:34 - mmengine - INFO - Epoch(train) [102][2250/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:54:55 time: 0.2701 data_time: 0.0273 memory: 2049 grad_norm: 4.8877 loss: 3.8768 loss_cls: 2.4808 loss_bbox: 1.3960 2024/10/27 12:37:46 - mmengine - INFO - Epoch(train) [102][2300/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:54:43 time: 0.2421 data_time: 0.0206 memory: 2049 grad_norm: 4.8000 loss: 3.7371 loss_cls: 2.4052 loss_bbox: 1.3320 2024/10/27 12:37:58 - mmengine - INFO - Epoch(train) [102][2350/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:54:30 time: 0.2416 data_time: 0.0203 memory: 2049 grad_norm: 5.3495 loss: 3.9580 loss_cls: 2.5449 loss_bbox: 1.4131 2024/10/27 12:38:11 - mmengine - INFO - Epoch(train) [102][2400/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:54:17 time: 0.2668 data_time: 0.0256 memory: 2049 grad_norm: 5.3242 loss: 3.9100 loss_cls: 2.5136 loss_bbox: 1.3963 2024/10/27 12:38:23 - mmengine - INFO - Epoch(train) [102][2450/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:54:05 time: 0.2386 data_time: 0.0308 memory: 2049 grad_norm: 5.0943 loss: 3.9322 loss_cls: 2.5245 loss_bbox: 1.4077 2024/10/27 12:38:36 - mmengine - INFO - Epoch(train) [102][2500/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:53:52 time: 0.2664 data_time: 0.0230 memory: 2049 grad_norm: 5.0527 loss: 3.9476 loss_cls: 2.5614 loss_bbox: 1.3861 2024/10/27 12:38:48 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:38:49 - mmengine - INFO - Epoch(train) [102][2550/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:53:40 time: 0.2568 data_time: 0.0369 memory: 2049 grad_norm: 5.0759 loss: 3.9828 loss_cls: 2.5117 loss_bbox: 1.4711 2024/10/27 12:39:01 - mmengine - INFO - Epoch(train) [102][2600/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:53:27 time: 0.2368 data_time: 0.0271 memory: 2049 grad_norm: 4.7647 loss: 3.8966 loss_cls: 2.5291 loss_bbox: 1.3675 2024/10/27 12:39:14 - mmengine - INFO - Epoch(train) [102][2650/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:53:14 time: 0.2601 data_time: 0.0248 memory: 2049 grad_norm: 4.5168 loss: 3.8644 loss_cls: 2.5175 loss_bbox: 1.3469 2024/10/27 12:39:26 - mmengine - INFO - Epoch(train) [102][2700/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:53:01 time: 0.2360 data_time: 0.0253 memory: 2049 grad_norm: 5.0309 loss: 3.8987 loss_cls: 2.5448 loss_bbox: 1.3539 2024/10/27 12:39:39 - mmengine - INFO - Epoch(train) [102][2750/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:52:49 time: 0.2648 data_time: 0.0247 memory: 2049 grad_norm: 4.8928 loss: 3.9125 loss_cls: 2.5343 loss_bbox: 1.3782 2024/10/27 12:39:51 - mmengine - INFO - Epoch(train) [102][2800/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:52:36 time: 0.2424 data_time: 0.0252 memory: 2049 grad_norm: 5.1379 loss: 3.9177 loss_cls: 2.5082 loss_bbox: 1.4095 2024/10/27 12:40:04 - mmengine - INFO - Epoch(train) [102][2850/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:52:23 time: 0.2476 data_time: 0.0228 memory: 2049 grad_norm: 5.3848 loss: 3.9548 loss_cls: 2.5465 loss_bbox: 1.4083 2024/10/27 12:40:19 - mmengine - INFO - Epoch(train) [102][2900/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:52:11 time: 0.3019 data_time: 0.0603 memory: 2049 grad_norm: 5.0467 loss: 3.9356 loss_cls: 2.5287 loss_bbox: 1.4069 2024/10/27 12:40:31 - mmengine - INFO - Epoch(train) [102][2950/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:51:59 time: 0.2515 data_time: 0.0302 memory: 2049 grad_norm: 4.7323 loss: 3.9096 loss_cls: 2.5306 loss_bbox: 1.3790 2024/10/27 12:40:45 - mmengine - INFO - Epoch(train) [102][3000/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:51:46 time: 0.2750 data_time: 0.0217 memory: 2049 grad_norm: 4.9571 loss: 3.9808 loss_cls: 2.5579 loss_bbox: 1.4229 2024/10/27 12:40:58 - mmengine - INFO - Epoch(train) [102][3050/3054] base_lr: 5.4643e-04 lr: 5.4643e-04 eta: 3:51:34 time: 0.2534 data_time: 0.0267 memory: 2049 grad_norm: 5.2400 loss: 3.8279 loss_cls: 2.4614 loss_bbox: 1.3664 2024/10/27 12:40:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:40:59 - mmengine - INFO - Saving checkpoint at 102 epochs 2024/10/27 12:41:18 - mmengine - INFO - Epoch(train) [103][ 50/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:51:20 time: 0.2511 data_time: 0.0370 memory: 2049 grad_norm: 4.7116 loss: 3.7740 loss_cls: 2.4320 loss_bbox: 1.3420 2024/10/27 12:41:31 - mmengine - INFO - Epoch(train) [103][ 100/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:51:07 time: 0.2608 data_time: 0.0381 memory: 2049 grad_norm: 4.8344 loss: 3.9195 loss_cls: 2.5226 loss_bbox: 1.3969 2024/10/27 12:41:43 - mmengine - INFO - Epoch(train) [103][ 150/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:50:55 time: 0.2336 data_time: 0.0252 memory: 2049 grad_norm: 5.4239 loss: 3.9542 loss_cls: 2.5178 loss_bbox: 1.4364 2024/10/27 12:41:56 - mmengine - INFO - Epoch(train) [103][ 200/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:50:42 time: 0.2601 data_time: 0.0257 memory: 2049 grad_norm: 5.4261 loss: 3.8888 loss_cls: 2.5213 loss_bbox: 1.3676 2024/10/27 12:42:08 - mmengine - INFO - Epoch(train) [103][ 250/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:50:29 time: 0.2462 data_time: 0.0254 memory: 2049 grad_norm: 5.0435 loss: 3.8065 loss_cls: 2.4514 loss_bbox: 1.3551 2024/10/27 12:42:20 - mmengine - INFO - Epoch(train) [103][ 300/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:50:17 time: 0.2419 data_time: 0.0260 memory: 2049 grad_norm: 5.0157 loss: 3.8400 loss_cls: 2.4751 loss_bbox: 1.3649 2024/10/27 12:42:34 - mmengine - INFO - Epoch(train) [103][ 350/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:50:04 time: 0.2818 data_time: 0.0348 memory: 2049 grad_norm: 4.7899 loss: 3.7740 loss_cls: 2.4352 loss_bbox: 1.3388 2024/10/27 12:42:47 - mmengine - INFO - Epoch(train) [103][ 400/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:49:52 time: 0.2470 data_time: 0.0301 memory: 2049 grad_norm: 4.9038 loss: 3.9332 loss_cls: 2.5219 loss_bbox: 1.4112 2024/10/27 12:43:00 - mmengine - INFO - Epoch(train) [103][ 450/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:49:39 time: 0.2621 data_time: 0.0255 memory: 2049 grad_norm: 4.8852 loss: 3.8905 loss_cls: 2.4900 loss_bbox: 1.4004 2024/10/27 12:43:11 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:43:12 - mmengine - INFO - Epoch(train) [103][ 500/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:49:26 time: 0.2551 data_time: 0.0269 memory: 2049 grad_norm: 4.7043 loss: 3.8728 loss_cls: 2.5015 loss_bbox: 1.3713 2024/10/27 12:43:25 - mmengine - INFO - Epoch(train) [103][ 550/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:49:14 time: 0.2459 data_time: 0.0296 memory: 2049 grad_norm: 4.8335 loss: 3.8678 loss_cls: 2.5266 loss_bbox: 1.3411 2024/10/27 12:43:38 - mmengine - INFO - Epoch(train) [103][ 600/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:49:01 time: 0.2576 data_time: 0.0381 memory: 2049 grad_norm: 4.3257 loss: 3.8881 loss_cls: 2.5006 loss_bbox: 1.3874 2024/10/27 12:43:51 - mmengine - INFO - Epoch(train) [103][ 650/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:48:49 time: 0.2635 data_time: 0.0324 memory: 2049 grad_norm: 5.4325 loss: 3.9463 loss_cls: 2.5498 loss_bbox: 1.3965 2024/10/27 12:44:04 - mmengine - INFO - Epoch(train) [103][ 700/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:48:36 time: 0.2625 data_time: 0.0268 memory: 2049 grad_norm: 4.8767 loss: 3.8711 loss_cls: 2.4893 loss_bbox: 1.3817 2024/10/27 12:44:18 - mmengine - INFO - Epoch(train) [103][ 750/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:48:24 time: 0.2802 data_time: 0.0600 memory: 2049 grad_norm: 4.8376 loss: 3.8023 loss_cls: 2.4505 loss_bbox: 1.3518 2024/10/27 12:44:31 - mmengine - INFO - Epoch(train) [103][ 800/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:48:11 time: 0.2540 data_time: 0.0264 memory: 2049 grad_norm: 4.7254 loss: 3.8572 loss_cls: 2.4624 loss_bbox: 1.3949 2024/10/27 12:44:44 - mmengine - INFO - Epoch(train) [103][ 850/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:47:59 time: 0.2672 data_time: 0.0262 memory: 2049 grad_norm: 5.3484 loss: 3.8105 loss_cls: 2.4670 loss_bbox: 1.3434 2024/10/27 12:44:56 - mmengine - INFO - Epoch(train) [103][ 900/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:47:46 time: 0.2393 data_time: 0.0245 memory: 2049 grad_norm: 5.8938 loss: 3.8157 loss_cls: 2.4867 loss_bbox: 1.3290 2024/10/27 12:45:09 - mmengine - INFO - Epoch(train) [103][ 950/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:47:33 time: 0.2660 data_time: 0.0276 memory: 2049 grad_norm: 5.2935 loss: 3.8012 loss_cls: 2.4729 loss_bbox: 1.3283 2024/10/27 12:45:22 - mmengine - INFO - Epoch(train) [103][1000/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:47:21 time: 0.2526 data_time: 0.0255 memory: 2049 grad_norm: 4.8206 loss: 3.8261 loss_cls: 2.4856 loss_bbox: 1.3405 2024/10/27 12:45:35 - mmengine - INFO - Epoch(train) [103][1050/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:47:08 time: 0.2523 data_time: 0.0254 memory: 2049 grad_norm: 5.4230 loss: 3.9688 loss_cls: 2.5725 loss_bbox: 1.3962 2024/10/27 12:45:48 - mmengine - INFO - Epoch(train) [103][1100/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:46:55 time: 0.2583 data_time: 0.0254 memory: 2049 grad_norm: 4.8093 loss: 3.8805 loss_cls: 2.5000 loss_bbox: 1.3805 2024/10/27 12:46:00 - mmengine - INFO - Epoch(train) [103][1150/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:46:43 time: 0.2376 data_time: 0.0303 memory: 2049 grad_norm: 4.7848 loss: 3.8583 loss_cls: 2.5101 loss_bbox: 1.3482 2024/10/27 12:46:13 - mmengine - INFO - Epoch(train) [103][1200/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:46:30 time: 0.2688 data_time: 0.0315 memory: 2049 grad_norm: 4.9044 loss: 3.9314 loss_cls: 2.5280 loss_bbox: 1.4035 2024/10/27 12:46:26 - mmengine - INFO - Epoch(train) [103][1250/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:46:18 time: 0.2626 data_time: 0.0267 memory: 2049 grad_norm: 4.7930 loss: 3.8766 loss_cls: 2.4687 loss_bbox: 1.4079 2024/10/27 12:46:39 - mmengine - INFO - Epoch(train) [103][1300/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:46:05 time: 0.2544 data_time: 0.0240 memory: 2049 grad_norm: 4.5690 loss: 3.9203 loss_cls: 2.5068 loss_bbox: 1.4134 2024/10/27 12:46:52 - mmengine - INFO - Epoch(train) [103][1350/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:45:52 time: 0.2608 data_time: 0.0315 memory: 2049 grad_norm: 5.3753 loss: 3.8615 loss_cls: 2.5129 loss_bbox: 1.3486 2024/10/27 12:47:04 - mmengine - INFO - Epoch(train) [103][1400/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:45:40 time: 0.2417 data_time: 0.0258 memory: 2049 grad_norm: 4.7919 loss: 3.7604 loss_cls: 2.4582 loss_bbox: 1.3022 2024/10/27 12:47:18 - mmengine - INFO - Epoch(train) [103][1450/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:45:27 time: 0.2834 data_time: 0.0402 memory: 2049 grad_norm: 5.1486 loss: 3.8679 loss_cls: 2.5007 loss_bbox: 1.3672 2024/10/27 12:47:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:47:31 - mmengine - INFO - Epoch(train) [103][1500/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:45:15 time: 0.2619 data_time: 0.0251 memory: 2049 grad_norm: 5.0531 loss: 3.8425 loss_cls: 2.4741 loss_bbox: 1.3684 2024/10/27 12:47:44 - mmengine - INFO - Epoch(train) [103][1550/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:45:02 time: 0.2612 data_time: 0.0247 memory: 2049 grad_norm: 4.9671 loss: 3.8828 loss_cls: 2.5031 loss_bbox: 1.3798 2024/10/27 12:47:59 - mmengine - INFO - Epoch(train) [103][1600/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:44:50 time: 0.2811 data_time: 0.0245 memory: 2049 grad_norm: 5.4238 loss: 3.7194 loss_cls: 2.4167 loss_bbox: 1.3027 2024/10/27 12:48:11 - mmengine - INFO - Epoch(train) [103][1650/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:44:37 time: 0.2500 data_time: 0.0259 memory: 2049 grad_norm: 4.9678 loss: 3.9669 loss_cls: 2.5203 loss_bbox: 1.4466 2024/10/27 12:48:25 - mmengine - INFO - Epoch(train) [103][1700/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:44:25 time: 0.2746 data_time: 0.0248 memory: 2049 grad_norm: 4.9533 loss: 3.8047 loss_cls: 2.4656 loss_bbox: 1.3391 2024/10/27 12:48:38 - mmengine - INFO - Epoch(train) [103][1750/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:44:12 time: 0.2680 data_time: 0.0285 memory: 2049 grad_norm: 5.3477 loss: 3.9362 loss_cls: 2.5414 loss_bbox: 1.3949 2024/10/27 12:48:51 - mmengine - INFO - Epoch(train) [103][1800/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:44:00 time: 0.2632 data_time: 0.0256 memory: 2049 grad_norm: 4.8204 loss: 3.8122 loss_cls: 2.4432 loss_bbox: 1.3690 2024/10/27 12:49:05 - mmengine - INFO - Epoch(train) [103][1850/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:43:47 time: 0.2635 data_time: 0.0252 memory: 2049 grad_norm: 5.0529 loss: 3.8519 loss_cls: 2.4816 loss_bbox: 1.3703 2024/10/27 12:49:19 - mmengine - INFO - Epoch(train) [103][1900/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:43:35 time: 0.2809 data_time: 0.0514 memory: 2049 grad_norm: 5.2383 loss: 3.8080 loss_cls: 2.4443 loss_bbox: 1.3638 2024/10/27 12:49:32 - mmengine - INFO - Epoch(train) [103][1950/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:43:22 time: 0.2602 data_time: 0.0269 memory: 2049 grad_norm: 4.9406 loss: 3.7154 loss_cls: 2.4164 loss_bbox: 1.2990 2024/10/27 12:49:45 - mmengine - INFO - Epoch(train) [103][2000/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:43:10 time: 0.2700 data_time: 0.0371 memory: 2049 grad_norm: 5.5909 loss: 3.8026 loss_cls: 2.4437 loss_bbox: 1.3589 2024/10/27 12:49:58 - mmengine - INFO - Epoch(train) [103][2050/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:42:57 time: 0.2623 data_time: 0.0244 memory: 2049 grad_norm: 5.6344 loss: 3.8342 loss_cls: 2.4597 loss_bbox: 1.3744 2024/10/27 12:50:12 - mmengine - INFO - Epoch(train) [103][2100/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:42:45 time: 0.2756 data_time: 0.0395 memory: 2049 grad_norm: 5.1317 loss: 3.8432 loss_cls: 2.5005 loss_bbox: 1.3427 2024/10/27 12:50:25 - mmengine - INFO - Epoch(train) [103][2150/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:42:32 time: 0.2563 data_time: 0.0315 memory: 2049 grad_norm: 5.6303 loss: 3.8142 loss_cls: 2.4790 loss_bbox: 1.3352 2024/10/27 12:50:38 - mmengine - INFO - Epoch(train) [103][2200/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:42:20 time: 0.2607 data_time: 0.0261 memory: 2049 grad_norm: 4.6555 loss: 3.8060 loss_cls: 2.4689 loss_bbox: 1.3371 2024/10/27 12:50:50 - mmengine - INFO - Epoch(train) [103][2250/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:42:07 time: 0.2388 data_time: 0.0253 memory: 2049 grad_norm: 5.0142 loss: 3.6899 loss_cls: 2.4241 loss_bbox: 1.2659 2024/10/27 12:51:03 - mmengine - INFO - Epoch(train) [103][2300/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:41:54 time: 0.2613 data_time: 0.0321 memory: 2049 grad_norm: 5.2006 loss: 3.8988 loss_cls: 2.4827 loss_bbox: 1.4161 2024/10/27 12:51:19 - mmengine - INFO - Epoch(train) [103][2350/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:41:43 time: 0.3196 data_time: 0.0738 memory: 2049 grad_norm: 4.7993 loss: 3.9136 loss_cls: 2.4918 loss_bbox: 1.4218 2024/10/27 12:51:32 - mmengine - INFO - Epoch(train) [103][2400/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:41:30 time: 0.2488 data_time: 0.0268 memory: 2049 grad_norm: 5.0557 loss: 3.9359 loss_cls: 2.5233 loss_bbox: 1.4126 2024/10/27 12:51:45 - mmengine - INFO - Epoch(train) [103][2450/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:41:17 time: 0.2658 data_time: 0.0254 memory: 2049 grad_norm: 5.2791 loss: 3.8845 loss_cls: 2.4761 loss_bbox: 1.4084 2024/10/27 12:51:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:51:57 - mmengine - INFO - Epoch(train) [103][2500/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:41:05 time: 0.2430 data_time: 0.0247 memory: 2049 grad_norm: 4.9638 loss: 3.8707 loss_cls: 2.4890 loss_bbox: 1.3817 2024/10/27 12:52:09 - mmengine - INFO - Epoch(train) [103][2550/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:40:52 time: 0.2462 data_time: 0.0250 memory: 2049 grad_norm: 5.0558 loss: 3.8896 loss_cls: 2.5070 loss_bbox: 1.3826 2024/10/27 12:52:23 - mmengine - INFO - Epoch(train) [103][2600/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:40:39 time: 0.2669 data_time: 0.0307 memory: 2049 grad_norm: 4.6725 loss: 3.8332 loss_cls: 2.4648 loss_bbox: 1.3684 2024/10/27 12:52:36 - mmengine - INFO - Epoch(train) [103][2650/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:40:27 time: 0.2554 data_time: 0.0253 memory: 2049 grad_norm: 5.3139 loss: 3.9042 loss_cls: 2.5123 loss_bbox: 1.3919 2024/10/27 12:52:49 - mmengine - INFO - Epoch(train) [103][2700/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:40:14 time: 0.2642 data_time: 0.0266 memory: 2049 grad_norm: 5.0285 loss: 3.8856 loss_cls: 2.4922 loss_bbox: 1.3935 2024/10/27 12:53:02 - mmengine - INFO - Epoch(train) [103][2750/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:40:02 time: 0.2559 data_time: 0.0244 memory: 2049 grad_norm: 4.8983 loss: 3.9032 loss_cls: 2.5080 loss_bbox: 1.3952 2024/10/27 12:53:18 - mmengine - INFO - Epoch(train) [103][2800/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:39:50 time: 0.3212 data_time: 0.1039 memory: 2049 grad_norm: 5.0149 loss: 3.7940 loss_cls: 2.4726 loss_bbox: 1.3214 2024/10/27 12:53:31 - mmengine - INFO - Epoch(train) [103][2850/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:39:37 time: 0.2641 data_time: 0.0256 memory: 2049 grad_norm: 5.1180 loss: 3.8690 loss_cls: 2.5155 loss_bbox: 1.3535 2024/10/27 12:53:43 - mmengine - INFO - Epoch(train) [103][2900/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:39:24 time: 0.2490 data_time: 0.0247 memory: 2049 grad_norm: 5.0138 loss: 3.8492 loss_cls: 2.5032 loss_bbox: 1.3461 2024/10/27 12:53:56 - mmengine - INFO - Epoch(train) [103][2950/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:39:12 time: 0.2589 data_time: 0.0251 memory: 2049 grad_norm: 5.1231 loss: 3.8707 loss_cls: 2.5043 loss_bbox: 1.3665 2024/10/27 12:54:10 - mmengine - INFO - Epoch(train) [103][3000/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:38:59 time: 0.2629 data_time: 0.0343 memory: 2049 grad_norm: 5.3249 loss: 3.9301 loss_cls: 2.5456 loss_bbox: 1.3846 2024/10/27 12:54:22 - mmengine - INFO - Epoch(train) [103][3050/3054] base_lr: 4.9466e-04 lr: 4.9466e-04 eta: 3:38:47 time: 0.2469 data_time: 0.0260 memory: 2049 grad_norm: 5.2519 loss: 3.7163 loss_cls: 2.4037 loss_bbox: 1.3126 2024/10/27 12:54:23 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:54:23 - mmengine - INFO - Saving checkpoint at 103 epochs 2024/10/27 12:54:38 - mmengine - INFO - Epoch(train) [104][ 50/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:38:33 time: 0.2648 data_time: 0.0367 memory: 2049 grad_norm: 5.1911 loss: 3.8857 loss_cls: 2.4960 loss_bbox: 1.3898 2024/10/27 12:54:50 - mmengine - INFO - Epoch(train) [104][ 100/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:38:20 time: 0.2417 data_time: 0.0245 memory: 2049 grad_norm: 5.3996 loss: 3.8171 loss_cls: 2.4727 loss_bbox: 1.3444 2024/10/27 12:55:03 - mmengine - INFO - Epoch(train) [104][ 150/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:38:08 time: 0.2535 data_time: 0.0335 memory: 2049 grad_norm: 5.1560 loss: 3.6741 loss_cls: 2.4007 loss_bbox: 1.2735 2024/10/27 12:55:18 - mmengine - INFO - Epoch(train) [104][ 200/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:37:56 time: 0.2979 data_time: 0.0817 memory: 2049 grad_norm: 5.1212 loss: 3.8169 loss_cls: 2.4609 loss_bbox: 1.3560 2024/10/27 12:55:30 - mmengine - INFO - Epoch(train) [104][ 250/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:37:43 time: 0.2380 data_time: 0.0262 memory: 2049 grad_norm: 4.5221 loss: 3.7666 loss_cls: 2.4369 loss_bbox: 1.3298 2024/10/27 12:55:43 - mmengine - INFO - Epoch(train) [104][ 300/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:37:30 time: 0.2541 data_time: 0.0221 memory: 2049 grad_norm: 4.9978 loss: 3.8194 loss_cls: 2.4747 loss_bbox: 1.3447 2024/10/27 12:55:55 - mmengine - INFO - Epoch(train) [104][ 350/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:37:17 time: 0.2483 data_time: 0.0210 memory: 2049 grad_norm: 4.9079 loss: 3.7978 loss_cls: 2.4659 loss_bbox: 1.3319 2024/10/27 12:56:07 - mmengine - INFO - Epoch(train) [104][ 400/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:37:05 time: 0.2425 data_time: 0.0243 memory: 2049 grad_norm: 5.0721 loss: 3.8282 loss_cls: 2.4764 loss_bbox: 1.3519 2024/10/27 12:56:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 12:56:20 - mmengine - INFO - Epoch(train) [104][ 450/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:36:52 time: 0.2498 data_time: 0.0282 memory: 2049 grad_norm: 5.4665 loss: 3.8101 loss_cls: 2.4425 loss_bbox: 1.3677 2024/10/27 12:56:32 - mmengine - INFO - Epoch(train) [104][ 500/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:36:39 time: 0.2423 data_time: 0.0240 memory: 2049 grad_norm: 5.0063 loss: 3.8888 loss_cls: 2.4899 loss_bbox: 1.3989 2024/10/27 12:56:45 - mmengine - INFO - Epoch(train) [104][ 550/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:36:27 time: 0.2549 data_time: 0.0354 memory: 2049 grad_norm: 4.7239 loss: 3.7564 loss_cls: 2.4248 loss_bbox: 1.3316 2024/10/27 12:56:57 - mmengine - INFO - Epoch(train) [104][ 600/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:36:14 time: 0.2478 data_time: 0.0248 memory: 2049 grad_norm: 4.8722 loss: 3.7783 loss_cls: 2.4685 loss_bbox: 1.3098 2024/10/27 12:57:10 - mmengine - INFO - Epoch(train) [104][ 650/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:36:01 time: 0.2576 data_time: 0.0273 memory: 2049 grad_norm: 4.7649 loss: 3.8251 loss_cls: 2.4608 loss_bbox: 1.3642 2024/10/27 12:57:23 - mmengine - INFO - Epoch(train) [104][ 700/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:35:49 time: 0.2552 data_time: 0.0339 memory: 2049 grad_norm: 4.8328 loss: 3.8117 loss_cls: 2.4656 loss_bbox: 1.3462 2024/10/27 12:57:35 - mmengine - INFO - Epoch(train) [104][ 750/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:35:36 time: 0.2413 data_time: 0.0251 memory: 2049 grad_norm: 5.0106 loss: 3.9324 loss_cls: 2.5351 loss_bbox: 1.3973 2024/10/27 12:57:48 - mmengine - INFO - Epoch(train) [104][ 800/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:35:23 time: 0.2602 data_time: 0.0279 memory: 2049 grad_norm: 4.7761 loss: 3.7269 loss_cls: 2.4316 loss_bbox: 1.2952 2024/10/27 12:58:01 - mmengine - INFO - Epoch(train) [104][ 850/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:35:11 time: 0.2630 data_time: 0.0380 memory: 2049 grad_norm: 4.5880 loss: 3.8718 loss_cls: 2.5107 loss_bbox: 1.3611 2024/10/27 12:58:14 - mmengine - INFO - Epoch(train) [104][ 900/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:34:58 time: 0.2577 data_time: 0.0306 memory: 2049 grad_norm: 5.3365 loss: 3.8421 loss_cls: 2.4603 loss_bbox: 1.3818 2024/10/27 12:58:26 - mmengine - INFO - Epoch(train) [104][ 950/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:34:46 time: 0.2460 data_time: 0.0335 memory: 2049 grad_norm: 5.0903 loss: 3.7239 loss_cls: 2.4084 loss_bbox: 1.3155 2024/10/27 12:58:39 - mmengine - INFO - Epoch(train) [104][1000/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:34:33 time: 0.2439 data_time: 0.0250 memory: 2049 grad_norm: 5.3224 loss: 3.8308 loss_cls: 2.4711 loss_bbox: 1.3597 2024/10/27 12:58:51 - mmengine - INFO - Epoch(train) [104][1050/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:34:20 time: 0.2533 data_time: 0.0257 memory: 2049 grad_norm: 5.0936 loss: 3.8589 loss_cls: 2.4880 loss_bbox: 1.3709 2024/10/27 12:59:04 - mmengine - INFO - Epoch(train) [104][1100/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:34:07 time: 0.2463 data_time: 0.0253 memory: 2049 grad_norm: 4.9648 loss: 3.8528 loss_cls: 2.4918 loss_bbox: 1.3610 2024/10/27 12:59:18 - mmengine - INFO - Epoch(train) [104][1150/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:33:55 time: 0.2871 data_time: 0.0589 memory: 2049 grad_norm: 4.9071 loss: 3.8144 loss_cls: 2.4442 loss_bbox: 1.3702 2024/10/27 12:59:31 - mmengine - INFO - Epoch(train) [104][1200/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:33:43 time: 0.2560 data_time: 0.0353 memory: 2049 grad_norm: 5.0477 loss: 3.7726 loss_cls: 2.4240 loss_bbox: 1.3486 2024/10/27 12:59:43 - mmengine - INFO - Epoch(train) [104][1250/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:33:30 time: 0.2458 data_time: 0.0232 memory: 2049 grad_norm: 5.2098 loss: 3.7053 loss_cls: 2.4273 loss_bbox: 1.2780 2024/10/27 12:59:56 - mmengine - INFO - Epoch(train) [104][1300/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:33:17 time: 0.2531 data_time: 0.0235 memory: 2049 grad_norm: 5.1028 loss: 3.7606 loss_cls: 2.4797 loss_bbox: 1.2810 2024/10/27 13:00:08 - mmengine - INFO - Epoch(train) [104][1350/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:33:04 time: 0.2416 data_time: 0.0377 memory: 2049 grad_norm: 5.0724 loss: 3.7570 loss_cls: 2.4569 loss_bbox: 1.3001 2024/10/27 13:00:21 - mmengine - INFO - Epoch(train) [104][1400/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:32:52 time: 0.2542 data_time: 0.0239 memory: 2049 grad_norm: 5.0779 loss: 3.7448 loss_cls: 2.4183 loss_bbox: 1.3265 2024/10/27 13:00:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:00:33 - mmengine - INFO - Epoch(train) [104][1450/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:32:39 time: 0.2476 data_time: 0.0367 memory: 2049 grad_norm: 4.9556 loss: 3.7548 loss_cls: 2.4069 loss_bbox: 1.3480 2024/10/27 13:00:45 - mmengine - INFO - Epoch(train) [104][1500/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:32:26 time: 0.2482 data_time: 0.0300 memory: 2049 grad_norm: 4.9062 loss: 3.7878 loss_cls: 2.4333 loss_bbox: 1.3545 2024/10/27 13:00:59 - mmengine - INFO - Epoch(train) [104][1550/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:32:14 time: 0.2740 data_time: 0.0221 memory: 2049 grad_norm: 5.6080 loss: 3.7882 loss_cls: 2.4304 loss_bbox: 1.3578 2024/10/27 13:01:11 - mmengine - INFO - Epoch(train) [104][1600/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:32:01 time: 0.2361 data_time: 0.0209 memory: 2049 grad_norm: 5.0936 loss: 3.8491 loss_cls: 2.4504 loss_bbox: 1.3987 2024/10/27 13:01:25 - mmengine - INFO - Epoch(train) [104][1650/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:31:49 time: 0.2731 data_time: 0.0218 memory: 2049 grad_norm: 5.0083 loss: 3.8884 loss_cls: 2.4775 loss_bbox: 1.4109 2024/10/27 13:01:37 - mmengine - INFO - Epoch(train) [104][1700/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:31:36 time: 0.2467 data_time: 0.0203 memory: 2049 grad_norm: 4.8713 loss: 3.7832 loss_cls: 2.4449 loss_bbox: 1.3383 2024/10/27 13:01:49 - mmengine - INFO - Epoch(train) [104][1750/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:31:23 time: 0.2432 data_time: 0.0232 memory: 2049 grad_norm: 5.2483 loss: 3.8936 loss_cls: 2.4860 loss_bbox: 1.4076 2024/10/27 13:02:03 - mmengine - INFO - Epoch(train) [104][1800/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:31:11 time: 0.2705 data_time: 0.0208 memory: 2049 grad_norm: 5.1406 loss: 3.8569 loss_cls: 2.4810 loss_bbox: 1.3759 2024/10/27 13:02:18 - mmengine - INFO - Epoch(train) [104][1850/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:30:59 time: 0.2984 data_time: 0.0772 memory: 2049 grad_norm: 5.4394 loss: 3.7551 loss_cls: 2.4371 loss_bbox: 1.3179 2024/10/27 13:02:31 - mmengine - INFO - Epoch(train) [104][1900/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:30:46 time: 0.2731 data_time: 0.0259 memory: 2049 grad_norm: 5.0756 loss: 4.0416 loss_cls: 2.5695 loss_bbox: 1.4721 2024/10/27 13:02:44 - mmengine - INFO - Epoch(train) [104][1950/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:30:34 time: 0.2514 data_time: 0.0228 memory: 2049 grad_norm: 4.8528 loss: 3.7711 loss_cls: 2.4304 loss_bbox: 1.3407 2024/10/27 13:02:56 - mmengine - INFO - Epoch(train) [104][2000/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:30:21 time: 0.2463 data_time: 0.0210 memory: 2049 grad_norm: 5.0723 loss: 3.8056 loss_cls: 2.4802 loss_bbox: 1.3254 2024/10/27 13:03:10 - mmengine - INFO - Epoch(train) [104][2050/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:30:08 time: 0.2777 data_time: 0.0283 memory: 2049 grad_norm: 5.2117 loss: 3.7420 loss_cls: 2.4491 loss_bbox: 1.2929 2024/10/27 13:03:23 - mmengine - INFO - Epoch(train) [104][2100/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:29:56 time: 0.2492 data_time: 0.0205 memory: 2049 grad_norm: 5.2301 loss: 3.7869 loss_cls: 2.4248 loss_bbox: 1.3621 2024/10/27 13:03:36 - mmengine - INFO - Epoch(train) [104][2150/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:29:43 time: 0.2702 data_time: 0.0203 memory: 2049 grad_norm: 5.1352 loss: 3.8207 loss_cls: 2.4682 loss_bbox: 1.3525 2024/10/27 13:03:49 - mmengine - INFO - Epoch(train) [104][2200/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:29:31 time: 0.2547 data_time: 0.0213 memory: 2049 grad_norm: 5.0859 loss: 3.8244 loss_cls: 2.4573 loss_bbox: 1.3672 2024/10/27 13:04:02 - mmengine - INFO - Epoch(train) [104][2250/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:29:18 time: 0.2616 data_time: 0.0219 memory: 2049 grad_norm: 5.0430 loss: 3.7989 loss_cls: 2.4578 loss_bbox: 1.3411 2024/10/27 13:04:19 - mmengine - INFO - Epoch(train) [104][2300/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:29:06 time: 0.3388 data_time: 0.1108 memory: 2049 grad_norm: 4.9753 loss: 3.8497 loss_cls: 2.4674 loss_bbox: 1.3823 2024/10/27 13:04:31 - mmengine - INFO - Epoch(train) [104][2350/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:28:54 time: 0.2477 data_time: 0.0245 memory: 2049 grad_norm: 5.4594 loss: 3.8021 loss_cls: 2.4478 loss_bbox: 1.3543 2024/10/27 13:04:45 - mmengine - INFO - Epoch(train) [104][2400/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:28:41 time: 0.2787 data_time: 0.0339 memory: 2049 grad_norm: 5.0050 loss: 3.7778 loss_cls: 2.4539 loss_bbox: 1.3239 2024/10/27 13:04:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:04:58 - mmengine - INFO - Epoch(train) [104][2450/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:28:29 time: 0.2580 data_time: 0.0257 memory: 2049 grad_norm: 4.9894 loss: 3.8013 loss_cls: 2.4401 loss_bbox: 1.3612 2024/10/27 13:05:10 - mmengine - INFO - Epoch(train) [104][2500/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:28:16 time: 0.2463 data_time: 0.0228 memory: 2049 grad_norm: 4.7279 loss: 3.9209 loss_cls: 2.5149 loss_bbox: 1.4060 2024/10/27 13:05:23 - mmengine - INFO - Epoch(train) [104][2550/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:28:03 time: 0.2588 data_time: 0.0271 memory: 2049 grad_norm: 4.9427 loss: 3.8279 loss_cls: 2.4921 loss_bbox: 1.3358 2024/10/27 13:05:36 - mmengine - INFO - Epoch(train) [104][2600/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:27:51 time: 0.2484 data_time: 0.0292 memory: 2049 grad_norm: 5.2263 loss: 3.8721 loss_cls: 2.4634 loss_bbox: 1.4087 2024/10/27 13:05:49 - mmengine - INFO - Epoch(train) [104][2650/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:27:38 time: 0.2626 data_time: 0.0305 memory: 2049 grad_norm: 5.3929 loss: 3.8218 loss_cls: 2.4739 loss_bbox: 1.3479 2024/10/27 13:06:02 - mmengine - INFO - Epoch(train) [104][2700/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:27:26 time: 0.2606 data_time: 0.0312 memory: 2049 grad_norm: 5.1367 loss: 3.7838 loss_cls: 2.4312 loss_bbox: 1.3526 2024/10/27 13:06:18 - mmengine - INFO - Epoch(train) [104][2750/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:27:13 time: 0.3197 data_time: 0.0979 memory: 2049 grad_norm: 5.6185 loss: 3.9160 loss_cls: 2.5059 loss_bbox: 1.4101 2024/10/27 13:06:31 - mmengine - INFO - Epoch(train) [104][2800/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:27:01 time: 0.2564 data_time: 0.0246 memory: 2049 grad_norm: 5.1014 loss: 3.8087 loss_cls: 2.4553 loss_bbox: 1.3534 2024/10/27 13:06:43 - mmengine - INFO - Epoch(train) [104][2850/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:26:48 time: 0.2501 data_time: 0.0234 memory: 2049 grad_norm: 5.0071 loss: 3.8877 loss_cls: 2.5076 loss_bbox: 1.3801 2024/10/27 13:06:57 - mmengine - INFO - Epoch(train) [104][2900/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:26:36 time: 0.2670 data_time: 0.0227 memory: 2049 grad_norm: 5.6983 loss: 3.7357 loss_cls: 2.4133 loss_bbox: 1.3225 2024/10/27 13:07:10 - mmengine - INFO - Epoch(train) [104][2950/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:26:23 time: 0.2620 data_time: 0.0248 memory: 2049 grad_norm: 4.8949 loss: 3.8109 loss_cls: 2.4738 loss_bbox: 1.3371 2024/10/27 13:07:23 - mmengine - INFO - Epoch(train) [104][3000/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:26:11 time: 0.2620 data_time: 0.0276 memory: 2049 grad_norm: 4.9053 loss: 3.7156 loss_cls: 2.4248 loss_bbox: 1.2908 2024/10/27 13:07:36 - mmengine - INFO - Epoch(train) [104][3050/3054] base_lr: 4.4482e-04 lr: 4.4482e-04 eta: 3:25:58 time: 0.2635 data_time: 0.0267 memory: 2049 grad_norm: 5.3345 loss: 3.8120 loss_cls: 2.4709 loss_bbox: 1.3411 2024/10/27 13:07:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:07:37 - mmengine - INFO - Saving checkpoint at 104 epochs 2024/10/27 13:07:52 - mmengine - INFO - Epoch(train) [105][ 50/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:25:44 time: 0.2673 data_time: 0.0369 memory: 2049 grad_norm: 5.3623 loss: 3.7477 loss_cls: 2.4062 loss_bbox: 1.3416 2024/10/27 13:08:05 - mmengine - INFO - Epoch(train) [105][ 100/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:25:32 time: 0.2549 data_time: 0.0363 memory: 2049 grad_norm: 5.5716 loss: 3.7192 loss_cls: 2.4286 loss_bbox: 1.2906 2024/10/27 13:08:20 - mmengine - INFO - Epoch(train) [105][ 150/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:25:20 time: 0.2906 data_time: 0.0632 memory: 2049 grad_norm: 5.3923 loss: 3.7778 loss_cls: 2.4562 loss_bbox: 1.3216 2024/10/27 13:08:32 - mmengine - INFO - Epoch(train) [105][ 200/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:25:07 time: 0.2442 data_time: 0.0272 memory: 2049 grad_norm: 4.8623 loss: 3.7094 loss_cls: 2.3973 loss_bbox: 1.3121 2024/10/27 13:08:44 - mmengine - INFO - Epoch(train) [105][ 250/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:24:54 time: 0.2519 data_time: 0.0231 memory: 2049 grad_norm: 4.7419 loss: 3.8234 loss_cls: 2.4538 loss_bbox: 1.3695 2024/10/27 13:08:56 - mmengine - INFO - Epoch(train) [105][ 300/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:24:41 time: 0.2322 data_time: 0.0226 memory: 2049 grad_norm: 5.2082 loss: 3.7438 loss_cls: 2.4308 loss_bbox: 1.3130 2024/10/27 13:09:09 - mmengine - INFO - Epoch(train) [105][ 350/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:24:29 time: 0.2630 data_time: 0.0249 memory: 2049 grad_norm: 5.1367 loss: 3.8255 loss_cls: 2.4538 loss_bbox: 1.3717 2024/10/27 13:09:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:09:22 - mmengine - INFO - Epoch(train) [105][ 400/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:24:16 time: 0.2467 data_time: 0.0217 memory: 2049 grad_norm: 4.9865 loss: 3.7442 loss_cls: 2.3931 loss_bbox: 1.3511 2024/10/27 13:09:34 - mmengine - INFO - Epoch(train) [105][ 450/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:24:03 time: 0.2472 data_time: 0.0224 memory: 2049 grad_norm: 5.4319 loss: 3.8132 loss_cls: 2.4763 loss_bbox: 1.3369 2024/10/27 13:09:47 - mmengine - INFO - Epoch(train) [105][ 500/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:23:51 time: 0.2662 data_time: 0.0369 memory: 2049 grad_norm: 5.1350 loss: 3.8673 loss_cls: 2.4933 loss_bbox: 1.3741 2024/10/27 13:10:00 - mmengine - INFO - Epoch(train) [105][ 550/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:23:38 time: 0.2460 data_time: 0.0263 memory: 2049 grad_norm: 5.1298 loss: 3.8712 loss_cls: 2.4853 loss_bbox: 1.3859 2024/10/27 13:10:12 - mmengine - INFO - Epoch(train) [105][ 600/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:23:26 time: 0.2562 data_time: 0.0286 memory: 2049 grad_norm: 5.3039 loss: 3.8224 loss_cls: 2.4405 loss_bbox: 1.3818 2024/10/27 13:10:26 - mmengine - INFO - Epoch(train) [105][ 650/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:23:13 time: 0.2688 data_time: 0.0396 memory: 2049 grad_norm: 5.1717 loss: 3.7440 loss_cls: 2.4336 loss_bbox: 1.3103 2024/10/27 13:10:39 - mmengine - INFO - Epoch(train) [105][ 700/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:23:00 time: 0.2531 data_time: 0.0297 memory: 2049 grad_norm: 4.8397 loss: 3.8204 loss_cls: 2.4773 loss_bbox: 1.3430 2024/10/27 13:10:52 - mmengine - INFO - Epoch(train) [105][ 750/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:22:48 time: 0.2626 data_time: 0.0273 memory: 2049 grad_norm: 5.4661 loss: 3.7482 loss_cls: 2.4036 loss_bbox: 1.3446 2024/10/27 13:11:04 - mmengine - INFO - Epoch(train) [105][ 800/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:22:35 time: 0.2517 data_time: 0.0257 memory: 2049 grad_norm: 5.0769 loss: 3.9034 loss_cls: 2.5174 loss_bbox: 1.3860 2024/10/27 13:11:18 - mmengine - INFO - Epoch(train) [105][ 850/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:22:23 time: 0.2748 data_time: 0.0448 memory: 2049 grad_norm: 5.3966 loss: 3.6556 loss_cls: 2.3769 loss_bbox: 1.2787 2024/10/27 13:11:31 - mmengine - INFO - Epoch(train) [105][ 900/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:22:10 time: 0.2621 data_time: 0.0324 memory: 2049 grad_norm: 5.1642 loss: 3.8653 loss_cls: 2.4931 loss_bbox: 1.3722 2024/10/27 13:11:44 - mmengine - INFO - Epoch(train) [105][ 950/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:21:58 time: 0.2511 data_time: 0.0263 memory: 2049 grad_norm: 5.1571 loss: 3.7809 loss_cls: 2.4465 loss_bbox: 1.3344 2024/10/27 13:11:57 - mmengine - INFO - Epoch(train) [105][1000/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:21:45 time: 0.2590 data_time: 0.0241 memory: 2049 grad_norm: 5.2419 loss: 3.8018 loss_cls: 2.4596 loss_bbox: 1.3422 2024/10/27 13:12:09 - mmengine - INFO - Epoch(train) [105][1050/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:21:32 time: 0.2532 data_time: 0.0313 memory: 2049 grad_norm: 4.9261 loss: 3.8316 loss_cls: 2.4666 loss_bbox: 1.3650 2024/10/27 13:12:22 - mmengine - INFO - Epoch(train) [105][1100/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:21:20 time: 0.2529 data_time: 0.0250 memory: 2049 grad_norm: 5.8557 loss: 3.8840 loss_cls: 2.5116 loss_bbox: 1.3724 2024/10/27 13:12:35 - mmengine - INFO - Epoch(train) [105][1150/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:21:07 time: 0.2630 data_time: 0.0309 memory: 2049 grad_norm: 5.3698 loss: 3.9352 loss_cls: 2.4853 loss_bbox: 1.4500 2024/10/27 13:12:48 - mmengine - INFO - Epoch(train) [105][1200/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:20:54 time: 0.2432 data_time: 0.0261 memory: 2049 grad_norm: 4.9859 loss: 3.7462 loss_cls: 2.4145 loss_bbox: 1.3317 2024/10/27 13:13:01 - mmengine - INFO - Epoch(train) [105][1250/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:20:42 time: 0.2625 data_time: 0.0331 memory: 2049 grad_norm: 5.1924 loss: 3.7534 loss_cls: 2.4323 loss_bbox: 1.3211 2024/10/27 13:13:13 - mmengine - INFO - Epoch(train) [105][1300/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:20:29 time: 0.2530 data_time: 0.0239 memory: 2049 grad_norm: 4.8228 loss: 3.7717 loss_cls: 2.4552 loss_bbox: 1.3165 2024/10/27 13:13:25 - mmengine - INFO - Epoch(train) [105][1350/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:20:16 time: 0.2381 data_time: 0.0248 memory: 2049 grad_norm: 5.3896 loss: 3.8032 loss_cls: 2.4609 loss_bbox: 1.3424 2024/10/27 13:13:35 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:13:39 - mmengine - INFO - Epoch(train) [105][1400/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:20:04 time: 0.2766 data_time: 0.0334 memory: 2049 grad_norm: 5.1020 loss: 3.7649 loss_cls: 2.4101 loss_bbox: 1.3548 2024/10/27 13:13:52 - mmengine - INFO - Epoch(train) [105][1450/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:19:51 time: 0.2488 data_time: 0.0240 memory: 2049 grad_norm: 5.0751 loss: 3.7919 loss_cls: 2.4272 loss_bbox: 1.3646 2024/10/27 13:14:05 - mmengine - INFO - Epoch(train) [105][1500/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:19:39 time: 0.2714 data_time: 0.0272 memory: 2049 grad_norm: 4.7948 loss: 3.8294 loss_cls: 2.4381 loss_bbox: 1.3913 2024/10/27 13:14:18 - mmengine - INFO - Epoch(train) [105][1550/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:19:26 time: 0.2612 data_time: 0.0292 memory: 2049 grad_norm: 5.3988 loss: 3.8093 loss_cls: 2.4615 loss_bbox: 1.3478 2024/10/27 13:14:31 - mmengine - INFO - Epoch(train) [105][1600/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:19:14 time: 0.2565 data_time: 0.0244 memory: 2049 grad_norm: 5.5343 loss: 3.7337 loss_cls: 2.4225 loss_bbox: 1.3112 2024/10/27 13:14:45 - mmengine - INFO - Epoch(train) [105][1650/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:19:01 time: 0.2729 data_time: 0.0210 memory: 2049 grad_norm: 5.2024 loss: 3.7919 loss_cls: 2.4456 loss_bbox: 1.3463 2024/10/27 13:14:58 - mmengine - INFO - Epoch(train) [105][1700/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:18:49 time: 0.2610 data_time: 0.0203 memory: 2049 grad_norm: 5.6968 loss: 3.8278 loss_cls: 2.4363 loss_bbox: 1.3915 2024/10/27 13:15:11 - mmengine - INFO - Epoch(train) [105][1750/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:18:36 time: 0.2711 data_time: 0.0208 memory: 2049 grad_norm: 4.9621 loss: 3.6833 loss_cls: 2.3945 loss_bbox: 1.2888 2024/10/27 13:15:24 - mmengine - INFO - Epoch(train) [105][1800/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:18:23 time: 0.2617 data_time: 0.0257 memory: 2049 grad_norm: 5.1115 loss: 3.7022 loss_cls: 2.3659 loss_bbox: 1.3363 2024/10/27 13:15:38 - mmengine - INFO - Epoch(train) [105][1850/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:18:11 time: 0.2686 data_time: 0.0205 memory: 2049 grad_norm: 5.0739 loss: 3.7482 loss_cls: 2.4438 loss_bbox: 1.3044 2024/10/27 13:15:51 - mmengine - INFO - Epoch(train) [105][1900/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:17:58 time: 0.2696 data_time: 0.0217 memory: 2049 grad_norm: 5.1098 loss: 3.9240 loss_cls: 2.5148 loss_bbox: 1.4092 2024/10/27 13:16:05 - mmengine - INFO - Epoch(train) [105][1950/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:17:46 time: 0.2624 data_time: 0.0223 memory: 2049 grad_norm: 4.9460 loss: 3.8232 loss_cls: 2.4809 loss_bbox: 1.3424 2024/10/27 13:16:19 - mmengine - INFO - Epoch(train) [105][2000/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:17:34 time: 0.2832 data_time: 0.0411 memory: 2049 grad_norm: 5.2116 loss: 3.7634 loss_cls: 2.4485 loss_bbox: 1.3150 2024/10/27 13:16:32 - mmengine - INFO - Epoch(train) [105][2050/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:17:21 time: 0.2631 data_time: 0.0258 memory: 2049 grad_norm: 5.1287 loss: 3.7809 loss_cls: 2.4452 loss_bbox: 1.3357 2024/10/27 13:16:45 - mmengine - INFO - Epoch(train) [105][2100/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:17:08 time: 0.2544 data_time: 0.0238 memory: 2049 grad_norm: 4.9248 loss: 3.8017 loss_cls: 2.4262 loss_bbox: 1.3756 2024/10/27 13:16:58 - mmengine - INFO - Epoch(train) [105][2150/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:16:56 time: 0.2640 data_time: 0.0230 memory: 2049 grad_norm: 5.1565 loss: 3.7835 loss_cls: 2.4345 loss_bbox: 1.3490 2024/10/27 13:17:11 - mmengine - INFO - Epoch(train) [105][2200/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:16:43 time: 0.2614 data_time: 0.0240 memory: 2049 grad_norm: 5.3100 loss: 3.8075 loss_cls: 2.4487 loss_bbox: 1.3588 2024/10/27 13:17:24 - mmengine - INFO - Epoch(train) [105][2250/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:16:31 time: 0.2605 data_time: 0.0244 memory: 2049 grad_norm: 5.9837 loss: 3.8233 loss_cls: 2.4609 loss_bbox: 1.3624 2024/10/27 13:17:37 - mmengine - INFO - Epoch(train) [105][2300/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:16:18 time: 0.2600 data_time: 0.0240 memory: 2049 grad_norm: 5.8376 loss: 3.8768 loss_cls: 2.4906 loss_bbox: 1.3863 2024/10/27 13:17:49 - mmengine - INFO - Epoch(train) [105][2350/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:16:05 time: 0.2494 data_time: 0.0288 memory: 2049 grad_norm: 5.9366 loss: 3.7985 loss_cls: 2.4516 loss_bbox: 1.3470 2024/10/27 13:17:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:18:02 - mmengine - INFO - Epoch(train) [105][2400/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:15:53 time: 0.2606 data_time: 0.0270 memory: 2049 grad_norm: 5.4443 loss: 3.8026 loss_cls: 2.4443 loss_bbox: 1.3584 2024/10/27 13:18:19 - mmengine - INFO - Epoch(train) [105][2450/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:15:41 time: 0.3218 data_time: 0.0879 memory: 2049 grad_norm: 5.2103 loss: 3.7733 loss_cls: 2.4384 loss_bbox: 1.3349 2024/10/27 13:18:31 - mmengine - INFO - Epoch(train) [105][2500/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:15:28 time: 0.2530 data_time: 0.0286 memory: 2049 grad_norm: 5.5270 loss: 3.7964 loss_cls: 2.4441 loss_bbox: 1.3523 2024/10/27 13:18:44 - mmengine - INFO - Epoch(train) [105][2550/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:15:15 time: 0.2582 data_time: 0.0248 memory: 2049 grad_norm: 5.4034 loss: 3.8457 loss_cls: 2.4804 loss_bbox: 1.3652 2024/10/27 13:18:57 - mmengine - INFO - Epoch(train) [105][2600/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:15:03 time: 0.2481 data_time: 0.0240 memory: 2049 grad_norm: 5.2579 loss: 3.7345 loss_cls: 2.4172 loss_bbox: 1.3173 2024/10/27 13:19:10 - mmengine - INFO - Epoch(train) [105][2650/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:14:50 time: 0.2585 data_time: 0.0249 memory: 2049 grad_norm: 5.3729 loss: 3.8116 loss_cls: 2.4716 loss_bbox: 1.3399 2024/10/27 13:19:22 - mmengine - INFO - Epoch(train) [105][2700/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:14:38 time: 0.2498 data_time: 0.0271 memory: 2049 grad_norm: 5.7014 loss: 3.7276 loss_cls: 2.4008 loss_bbox: 1.3268 2024/10/27 13:19:35 - mmengine - INFO - Epoch(train) [105][2750/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:14:25 time: 0.2495 data_time: 0.0247 memory: 2049 grad_norm: 5.2447 loss: 3.7457 loss_cls: 2.3788 loss_bbox: 1.3669 2024/10/27 13:19:47 - mmengine - INFO - Epoch(train) [105][2800/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:14:12 time: 0.2568 data_time: 0.0243 memory: 2049 grad_norm: 5.5556 loss: 3.7537 loss_cls: 2.4275 loss_bbox: 1.3262 2024/10/27 13:20:00 - mmengine - INFO - Epoch(train) [105][2850/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:14:00 time: 0.2481 data_time: 0.0318 memory: 2049 grad_norm: 5.1376 loss: 3.7940 loss_cls: 2.4565 loss_bbox: 1.3375 2024/10/27 13:20:13 - mmengine - INFO - Epoch(train) [105][2900/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:13:47 time: 0.2578 data_time: 0.0248 memory: 2049 grad_norm: 5.0797 loss: 3.8565 loss_cls: 2.4926 loss_bbox: 1.3639 2024/10/27 13:20:26 - mmengine - INFO - Epoch(train) [105][2950/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:13:34 time: 0.2638 data_time: 0.0312 memory: 2049 grad_norm: 5.7941 loss: 3.7856 loss_cls: 2.4557 loss_bbox: 1.3300 2024/10/27 13:20:39 - mmengine - INFO - Epoch(train) [105][3000/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:13:22 time: 0.2632 data_time: 0.0369 memory: 2049 grad_norm: 4.8927 loss: 3.7576 loss_cls: 2.4377 loss_bbox: 1.3199 2024/10/27 13:20:52 - mmengine - INFO - Epoch(train) [105][3050/3054] base_lr: 3.9704e-04 lr: 3.9704e-04 eta: 3:13:09 time: 0.2584 data_time: 0.0228 memory: 2049 grad_norm: 5.0545 loss: 3.8490 loss_cls: 2.4559 loss_bbox: 1.3931 2024/10/27 13:20:53 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:20:53 - mmengine - INFO - Saving checkpoint at 105 epochs 2024/10/27 13:20:57 - mmengine - INFO - Epoch(val) [105][50/79] eta: 0:00:01 time: 0.0405 data_time: 0.0048 memory: 2049 2024/10/27 13:21:09 - mmengine - INFO - Evaluating bbox... 2024/10/27 13:22:03 - mmengine - INFO - bbox_mAP_copypaste: 0.224 0.374 0.228 0.023 0.212 0.449 2024/10/27 13:22:04 - mmengine - INFO - Epoch(val) [105][79/79] coco/bbox_mAP: 0.2240 coco/bbox_mAP_50: 0.3740 coco/bbox_mAP_75: 0.2280 coco/bbox_mAP_s: 0.0230 coco/bbox_mAP_m: 0.2120 coco/bbox_mAP_l: 0.4490 data_time: 0.0044 time: 0.0397 2024/10/27 13:22:17 - mmengine - INFO - Epoch(train) [106][ 50/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:12:55 time: 0.2389 data_time: 0.0344 memory: 2049 grad_norm: 5.3111 loss: 3.8400 loss_cls: 2.4687 loss_bbox: 1.3713 2024/10/27 13:22:29 - mmengine - INFO - Epoch(train) [106][ 100/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:12:43 time: 0.2464 data_time: 0.0262 memory: 2049 grad_norm: 5.0490 loss: 3.8202 loss_cls: 2.4508 loss_bbox: 1.3695 2024/10/27 13:22:42 - mmengine - INFO - Epoch(train) [106][ 150/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:12:30 time: 0.2413 data_time: 0.0330 memory: 2049 grad_norm: 5.5356 loss: 3.6495 loss_cls: 2.3884 loss_bbox: 1.2611 2024/10/27 13:22:53 - mmengine - INFO - Epoch(train) [106][ 200/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:12:17 time: 0.2334 data_time: 0.0237 memory: 2049 grad_norm: 5.3699 loss: 3.7824 loss_cls: 2.4301 loss_bbox: 1.3523 2024/10/27 13:23:05 - mmengine - INFO - Epoch(train) [106][ 250/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:12:04 time: 0.2379 data_time: 0.0244 memory: 2049 grad_norm: 5.1262 loss: 3.7854 loss_cls: 2.4085 loss_bbox: 1.3769 2024/10/27 13:23:17 - mmengine - INFO - Epoch(train) [106][ 300/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:11:52 time: 0.2361 data_time: 0.0315 memory: 2049 grad_norm: 5.5442 loss: 3.7187 loss_cls: 2.4092 loss_bbox: 1.3095 2024/10/27 13:23:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:23:29 - mmengine - INFO - Epoch(train) [106][ 350/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:11:39 time: 0.2460 data_time: 0.0256 memory: 2049 grad_norm: 5.6457 loss: 3.7409 loss_cls: 2.4076 loss_bbox: 1.3333 2024/10/27 13:23:41 - mmengine - INFO - Epoch(train) [106][ 400/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:11:26 time: 0.2331 data_time: 0.0248 memory: 2049 grad_norm: 5.1475 loss: 3.7704 loss_cls: 2.4220 loss_bbox: 1.3484 2024/10/27 13:23:53 - mmengine - INFO - Epoch(train) [106][ 450/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:11:13 time: 0.2380 data_time: 0.0258 memory: 2049 grad_norm: 5.2003 loss: 3.7744 loss_cls: 2.4254 loss_bbox: 1.3491 2024/10/27 13:24:05 - mmengine - INFO - Epoch(train) [106][ 500/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:11:00 time: 0.2381 data_time: 0.0240 memory: 2049 grad_norm: 5.4686 loss: 3.7550 loss_cls: 2.4147 loss_bbox: 1.3404 2024/10/27 13:24:18 - mmengine - INFO - Epoch(train) [106][ 550/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:10:48 time: 0.2571 data_time: 0.0435 memory: 2049 grad_norm: 5.4148 loss: 3.8290 loss_cls: 2.4372 loss_bbox: 1.3918 2024/10/27 13:24:30 - mmengine - INFO - Epoch(train) [106][ 600/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:10:35 time: 0.2514 data_time: 0.0291 memory: 2049 grad_norm: 5.4617 loss: 3.6932 loss_cls: 2.3956 loss_bbox: 1.2976 2024/10/27 13:24:42 - mmengine - INFO - Epoch(train) [106][ 650/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:10:23 time: 0.2448 data_time: 0.0303 memory: 2049 grad_norm: 5.4159 loss: 3.8188 loss_cls: 2.4620 loss_bbox: 1.3568 2024/10/27 13:24:55 - mmengine - INFO - Epoch(train) [106][ 700/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:10:10 time: 0.2423 data_time: 0.0253 memory: 2049 grad_norm: 4.8384 loss: 3.8720 loss_cls: 2.4780 loss_bbox: 1.3940 2024/10/27 13:25:07 - mmengine - INFO - Epoch(train) [106][ 750/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:09:57 time: 0.2562 data_time: 0.0292 memory: 2049 grad_norm: 5.2208 loss: 3.8066 loss_cls: 2.4443 loss_bbox: 1.3622 2024/10/27 13:25:20 - mmengine - INFO - Epoch(train) [106][ 800/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:09:44 time: 0.2478 data_time: 0.0225 memory: 2049 grad_norm: 5.1544 loss: 3.8067 loss_cls: 2.4317 loss_bbox: 1.3749 2024/10/27 13:25:32 - mmengine - INFO - Epoch(train) [106][ 850/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:09:32 time: 0.2458 data_time: 0.0228 memory: 2049 grad_norm: 5.3790 loss: 3.8345 loss_cls: 2.4604 loss_bbox: 1.3741 2024/10/27 13:25:44 - mmengine - INFO - Epoch(train) [106][ 900/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:09:19 time: 0.2438 data_time: 0.0235 memory: 2049 grad_norm: 5.4336 loss: 3.6968 loss_cls: 2.4029 loss_bbox: 1.2938 2024/10/27 13:25:57 - mmengine - INFO - Epoch(train) [106][ 950/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:09:06 time: 0.2473 data_time: 0.0238 memory: 2049 grad_norm: 4.9529 loss: 3.7137 loss_cls: 2.3789 loss_bbox: 1.3348 2024/10/27 13:26:09 - mmengine - INFO - Epoch(train) [106][1000/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:08:54 time: 0.2485 data_time: 0.0237 memory: 2049 grad_norm: 5.2505 loss: 3.8042 loss_cls: 2.4318 loss_bbox: 1.3724 2024/10/27 13:26:22 - mmengine - INFO - Epoch(train) [106][1050/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:08:41 time: 0.2637 data_time: 0.0396 memory: 2049 grad_norm: 5.3119 loss: 3.8030 loss_cls: 2.4407 loss_bbox: 1.3623 2024/10/27 13:26:35 - mmengine - INFO - Epoch(train) [106][1100/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:08:28 time: 0.2487 data_time: 0.0225 memory: 2049 grad_norm: 5.6944 loss: 3.7446 loss_cls: 2.4404 loss_bbox: 1.3042 2024/10/27 13:26:47 - mmengine - INFO - Epoch(train) [106][1150/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:08:16 time: 0.2440 data_time: 0.0228 memory: 2049 grad_norm: 5.3032 loss: 3.7731 loss_cls: 2.4450 loss_bbox: 1.3281 2024/10/27 13:27:00 - mmengine - INFO - Epoch(train) [106][1200/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:08:03 time: 0.2530 data_time: 0.0283 memory: 2049 grad_norm: 4.9906 loss: 3.8185 loss_cls: 2.4532 loss_bbox: 1.3653 2024/10/27 13:27:12 - mmengine - INFO - Epoch(train) [106][1250/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:07:50 time: 0.2570 data_time: 0.0230 memory: 2049 grad_norm: 5.4607 loss: 3.8840 loss_cls: 2.4667 loss_bbox: 1.4173 2024/10/27 13:27:25 - mmengine - INFO - Epoch(train) [106][1300/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:07:38 time: 0.2450 data_time: 0.0236 memory: 2049 grad_norm: 4.9023 loss: 3.6497 loss_cls: 2.3725 loss_bbox: 1.2772 2024/10/27 13:27:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:27:38 - mmengine - INFO - Epoch(train) [106][1350/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:07:25 time: 0.2672 data_time: 0.0360 memory: 2049 grad_norm: 5.0055 loss: 3.8240 loss_cls: 2.4534 loss_bbox: 1.3707 2024/10/27 13:27:51 - mmengine - INFO - Epoch(train) [106][1400/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:07:13 time: 0.2549 data_time: 0.0294 memory: 2049 grad_norm: 5.6426 loss: 3.8263 loss_cls: 2.4438 loss_bbox: 1.3824 2024/10/27 13:28:04 - mmengine - INFO - Epoch(train) [106][1450/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:07:00 time: 0.2615 data_time: 0.0308 memory: 2049 grad_norm: 6.0067 loss: 3.6667 loss_cls: 2.3762 loss_bbox: 1.2905 2024/10/27 13:28:18 - mmengine - INFO - Epoch(train) [106][1500/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:06:48 time: 0.2814 data_time: 0.0446 memory: 2049 grad_norm: 4.8656 loss: 3.7473 loss_cls: 2.4075 loss_bbox: 1.3398 2024/10/27 13:28:31 - mmengine - INFO - Epoch(train) [106][1550/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:06:35 time: 0.2514 data_time: 0.0242 memory: 2049 grad_norm: 5.4827 loss: 3.6811 loss_cls: 2.3816 loss_bbox: 1.2995 2024/10/27 13:28:44 - mmengine - INFO - Epoch(train) [106][1600/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:06:22 time: 0.2600 data_time: 0.0233 memory: 2049 grad_norm: 5.4130 loss: 3.7413 loss_cls: 2.4002 loss_bbox: 1.3412 2024/10/27 13:28:56 - mmengine - INFO - Epoch(train) [106][1650/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:06:10 time: 0.2570 data_time: 0.0256 memory: 2049 grad_norm: 5.5124 loss: 3.6798 loss_cls: 2.3867 loss_bbox: 1.2931 2024/10/27 13:29:09 - mmengine - INFO - Epoch(train) [106][1700/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:05:57 time: 0.2550 data_time: 0.0228 memory: 2049 grad_norm: 5.5787 loss: 3.7307 loss_cls: 2.3979 loss_bbox: 1.3328 2024/10/27 13:29:22 - mmengine - INFO - Epoch(train) [106][1750/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:05:44 time: 0.2547 data_time: 0.0255 memory: 2049 grad_norm: 5.2146 loss: 3.7942 loss_cls: 2.4103 loss_bbox: 1.3840 2024/10/27 13:29:35 - mmengine - INFO - Epoch(train) [106][1800/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:05:32 time: 0.2592 data_time: 0.0226 memory: 2049 grad_norm: 5.4137 loss: 3.7944 loss_cls: 2.4383 loss_bbox: 1.3561 2024/10/27 13:29:49 - mmengine - INFO - Epoch(train) [106][1850/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:05:19 time: 0.2794 data_time: 0.0228 memory: 2049 grad_norm: 5.1929 loss: 3.7683 loss_cls: 2.3893 loss_bbox: 1.3790 2024/10/27 13:30:01 - mmengine - INFO - Epoch(train) [106][1900/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:05:07 time: 0.2505 data_time: 0.0231 memory: 2049 grad_norm: 5.7925 loss: 3.8038 loss_cls: 2.4301 loss_bbox: 1.3737 2024/10/27 13:30:15 - mmengine - INFO - Epoch(train) [106][1950/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:04:54 time: 0.2610 data_time: 0.0240 memory: 2049 grad_norm: 4.9935 loss: 3.7239 loss_cls: 2.3996 loss_bbox: 1.3243 2024/10/27 13:30:28 - mmengine - INFO - Epoch(train) [106][2000/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:04:42 time: 0.2610 data_time: 0.0222 memory: 2049 grad_norm: 5.4091 loss: 3.8678 loss_cls: 2.4793 loss_bbox: 1.3885 2024/10/27 13:30:40 - mmengine - INFO - Epoch(train) [106][2050/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:04:29 time: 0.2484 data_time: 0.0221 memory: 2049 grad_norm: 5.2671 loss: 3.7352 loss_cls: 2.4064 loss_bbox: 1.3288 2024/10/27 13:30:53 - mmengine - INFO - Epoch(train) [106][2100/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:04:16 time: 0.2663 data_time: 0.0229 memory: 2049 grad_norm: 5.2032 loss: 3.7991 loss_cls: 2.4356 loss_bbox: 1.3636 2024/10/27 13:31:06 - mmengine - INFO - Epoch(train) [106][2150/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:04:04 time: 0.2451 data_time: 0.0223 memory: 2049 grad_norm: 5.5485 loss: 3.7882 loss_cls: 2.4475 loss_bbox: 1.3407 2024/10/27 13:31:19 - mmengine - INFO - Epoch(train) [106][2200/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:03:51 time: 0.2616 data_time: 0.0219 memory: 2049 grad_norm: 5.1905 loss: 3.7121 loss_cls: 2.3908 loss_bbox: 1.3213 2024/10/27 13:31:32 - mmengine - INFO - Epoch(train) [106][2250/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:03:38 time: 0.2582 data_time: 0.0227 memory: 2049 grad_norm: 5.5902 loss: 3.7616 loss_cls: 2.4264 loss_bbox: 1.3352 2024/10/27 13:31:45 - mmengine - INFO - Epoch(train) [106][2300/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:03:26 time: 0.2585 data_time: 0.0211 memory: 2049 grad_norm: 5.2777 loss: 3.7578 loss_cls: 2.4271 loss_bbox: 1.3307 2024/10/27 13:31:53 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:31:58 - mmengine - INFO - Epoch(train) [106][2350/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:03:13 time: 0.2608 data_time: 0.0227 memory: 2049 grad_norm: 5.6619 loss: 3.7735 loss_cls: 2.4422 loss_bbox: 1.3313 2024/10/27 13:32:10 - mmengine - INFO - Epoch(train) [106][2400/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:03:01 time: 0.2477 data_time: 0.0214 memory: 2049 grad_norm: 5.2745 loss: 3.7352 loss_cls: 2.4381 loss_bbox: 1.2971 2024/10/27 13:32:24 - mmengine - INFO - Epoch(train) [106][2450/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:02:48 time: 0.2825 data_time: 0.0216 memory: 2049 grad_norm: 5.3266 loss: 3.8716 loss_cls: 2.4717 loss_bbox: 1.3999 2024/10/27 13:32:36 - mmengine - INFO - Epoch(train) [106][2500/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:02:35 time: 0.2438 data_time: 0.0206 memory: 2049 grad_norm: 5.3936 loss: 3.7901 loss_cls: 2.4360 loss_bbox: 1.3542 2024/10/27 13:32:49 - mmengine - INFO - Epoch(train) [106][2550/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:02:23 time: 0.2617 data_time: 0.0230 memory: 2049 grad_norm: 5.7163 loss: 3.8726 loss_cls: 2.4883 loss_bbox: 1.3843 2024/10/27 13:33:03 - mmengine - INFO - Epoch(train) [106][2600/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:02:10 time: 0.2766 data_time: 0.0257 memory: 2049 grad_norm: 5.2243 loss: 3.8549 loss_cls: 2.4680 loss_bbox: 1.3869 2024/10/27 13:33:18 - mmengine - INFO - Epoch(train) [106][2650/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:01:58 time: 0.2841 data_time: 0.0542 memory: 2049 grad_norm: 5.4889 loss: 3.8884 loss_cls: 2.4677 loss_bbox: 1.4207 2024/10/27 13:33:32 - mmengine - INFO - Epoch(train) [106][2700/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:01:46 time: 0.2872 data_time: 0.0210 memory: 2049 grad_norm: 5.5672 loss: 3.8409 loss_cls: 2.4321 loss_bbox: 1.4088 2024/10/27 13:33:44 - mmengine - INFO - Epoch(train) [106][2750/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:01:33 time: 0.2504 data_time: 0.0206 memory: 2049 grad_norm: 5.1557 loss: 3.7963 loss_cls: 2.4628 loss_bbox: 1.3335 2024/10/27 13:33:57 - mmengine - INFO - Epoch(train) [106][2800/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:01:20 time: 0.2579 data_time: 0.0213 memory: 2049 grad_norm: 6.0457 loss: 3.7958 loss_cls: 2.4383 loss_bbox: 1.3576 2024/10/27 13:34:11 - mmengine - INFO - Epoch(train) [106][2850/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:01:08 time: 0.2774 data_time: 0.0239 memory: 2049 grad_norm: 5.4163 loss: 3.8278 loss_cls: 2.4454 loss_bbox: 1.3824 2024/10/27 13:34:24 - mmengine - INFO - Epoch(train) [106][2900/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:00:55 time: 0.2579 data_time: 0.0219 memory: 2049 grad_norm: 5.3488 loss: 3.8086 loss_cls: 2.4549 loss_bbox: 1.3536 2024/10/27 13:34:38 - mmengine - INFO - Epoch(train) [106][2950/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:00:43 time: 0.2732 data_time: 0.0228 memory: 2049 grad_norm: 5.2652 loss: 3.7169 loss_cls: 2.3933 loss_bbox: 1.3236 2024/10/27 13:34:50 - mmengine - INFO - Epoch(train) [106][3000/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:00:30 time: 0.2492 data_time: 0.0210 memory: 2049 grad_norm: 4.9007 loss: 3.7031 loss_cls: 2.3790 loss_bbox: 1.3241 2024/10/27 13:35:03 - mmengine - INFO - Epoch(train) [106][3050/3054] base_lr: 3.5147e-04 lr: 3.5147e-04 eta: 3:00:18 time: 0.2608 data_time: 0.0232 memory: 2049 grad_norm: 5.2904 loss: 3.7376 loss_cls: 2.4438 loss_bbox: 1.2938 2024/10/27 13:35:06 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:35:06 - mmengine - INFO - Saving checkpoint at 106 epochs 2024/10/27 13:35:20 - mmengine - INFO - Epoch(train) [107][ 50/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 3:00:04 time: 0.2548 data_time: 0.0405 memory: 2049 grad_norm: 5.0710 loss: 3.8188 loss_cls: 2.4406 loss_bbox: 1.3782 2024/10/27 13:35:33 - mmengine - INFO - Epoch(train) [107][ 100/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:59:51 time: 0.2419 data_time: 0.0232 memory: 2049 grad_norm: 4.8624 loss: 3.7398 loss_cls: 2.4025 loss_bbox: 1.3374 2024/10/27 13:35:46 - mmengine - INFO - Epoch(train) [107][ 150/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:59:39 time: 0.2596 data_time: 0.0273 memory: 2049 grad_norm: 4.9365 loss: 3.7353 loss_cls: 2.3821 loss_bbox: 1.3532 2024/10/27 13:35:58 - mmengine - INFO - Epoch(train) [107][ 200/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:59:26 time: 0.2394 data_time: 0.0300 memory: 2049 grad_norm: 4.9374 loss: 3.7074 loss_cls: 2.3746 loss_bbox: 1.3328 2024/10/27 13:36:11 - mmengine - INFO - Epoch(train) [107][ 250/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:59:13 time: 0.2710 data_time: 0.0234 memory: 2049 grad_norm: 5.3456 loss: 3.7955 loss_cls: 2.4027 loss_bbox: 1.3928 2024/10/27 13:36:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:36:23 - mmengine - INFO - Epoch(train) [107][ 300/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:59:01 time: 0.2473 data_time: 0.0294 memory: 2049 grad_norm: 5.0993 loss: 3.6895 loss_cls: 2.3596 loss_bbox: 1.3299 2024/10/27 13:36:36 - mmengine - INFO - Epoch(train) [107][ 350/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:58:48 time: 0.2528 data_time: 0.0229 memory: 2049 grad_norm: 5.5132 loss: 3.7092 loss_cls: 2.3817 loss_bbox: 1.3276 2024/10/27 13:36:49 - mmengine - INFO - Epoch(train) [107][ 400/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:58:36 time: 0.2603 data_time: 0.0239 memory: 2049 grad_norm: 4.7702 loss: 3.6756 loss_cls: 2.3941 loss_bbox: 1.2815 2024/10/27 13:37:01 - mmengine - INFO - Epoch(train) [107][ 450/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:58:23 time: 0.2434 data_time: 0.0229 memory: 2049 grad_norm: 5.4805 loss: 3.7628 loss_cls: 2.4534 loss_bbox: 1.3093 2024/10/27 13:37:18 - mmengine - INFO - Epoch(train) [107][ 500/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:58:11 time: 0.3291 data_time: 0.0901 memory: 2049 grad_norm: 5.5620 loss: 3.7509 loss_cls: 2.4105 loss_bbox: 1.3405 2024/10/27 13:37:30 - mmengine - INFO - Epoch(train) [107][ 550/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:57:58 time: 0.2515 data_time: 0.0233 memory: 2049 grad_norm: 5.4277 loss: 3.8204 loss_cls: 2.4384 loss_bbox: 1.3820 2024/10/27 13:37:43 - mmengine - INFO - Epoch(train) [107][ 600/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:57:45 time: 0.2527 data_time: 0.0248 memory: 2049 grad_norm: 5.5296 loss: 3.7879 loss_cls: 2.4493 loss_bbox: 1.3386 2024/10/27 13:37:56 - mmengine - INFO - Epoch(train) [107][ 650/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:57:33 time: 0.2595 data_time: 0.0278 memory: 2049 grad_norm: 5.4725 loss: 3.6596 loss_cls: 2.3516 loss_bbox: 1.3080 2024/10/27 13:38:08 - mmengine - INFO - Epoch(train) [107][ 700/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:57:20 time: 0.2432 data_time: 0.0225 memory: 2049 grad_norm: 5.6740 loss: 3.8173 loss_cls: 2.4501 loss_bbox: 1.3673 2024/10/27 13:38:22 - mmengine - INFO - Epoch(train) [107][ 750/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:57:08 time: 0.2665 data_time: 0.0269 memory: 2049 grad_norm: 5.1719 loss: 3.6916 loss_cls: 2.3703 loss_bbox: 1.3213 2024/10/27 13:38:34 - mmengine - INFO - Epoch(train) [107][ 800/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:56:55 time: 0.2432 data_time: 0.0221 memory: 2049 grad_norm: 4.9807 loss: 3.8030 loss_cls: 2.4235 loss_bbox: 1.3794 2024/10/27 13:38:46 - mmengine - INFO - Epoch(train) [107][ 850/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:56:42 time: 0.2543 data_time: 0.0230 memory: 2049 grad_norm: 5.5279 loss: 3.6873 loss_cls: 2.3749 loss_bbox: 1.3124 2024/10/27 13:39:00 - mmengine - INFO - Epoch(train) [107][ 900/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:56:30 time: 0.2621 data_time: 0.0251 memory: 2049 grad_norm: 5.8218 loss: 3.7425 loss_cls: 2.4473 loss_bbox: 1.2953 2024/10/27 13:39:12 - mmengine - INFO - Epoch(train) [107][ 950/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:56:17 time: 0.2452 data_time: 0.0224 memory: 2049 grad_norm: 5.4693 loss: 3.7342 loss_cls: 2.4524 loss_bbox: 1.2818 2024/10/27 13:39:24 - mmengine - INFO - Epoch(train) [107][1000/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:56:04 time: 0.2461 data_time: 0.0222 memory: 2049 grad_norm: 5.0390 loss: 3.7681 loss_cls: 2.4281 loss_bbox: 1.3400 2024/10/27 13:39:36 - mmengine - INFO - Epoch(train) [107][1050/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:55:51 time: 0.2423 data_time: 0.0224 memory: 2049 grad_norm: 5.9092 loss: 3.8134 loss_cls: 2.4524 loss_bbox: 1.3610 2024/10/27 13:39:49 - mmengine - INFO - Epoch(train) [107][1100/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:55:39 time: 0.2568 data_time: 0.0221 memory: 2049 grad_norm: 5.3237 loss: 3.5808 loss_cls: 2.3275 loss_bbox: 1.2533 2024/10/27 13:40:02 - mmengine - INFO - Epoch(train) [107][1150/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:55:26 time: 0.2509 data_time: 0.0292 memory: 2049 grad_norm: 5.2728 loss: 3.6935 loss_cls: 2.3647 loss_bbox: 1.3288 2024/10/27 13:40:18 - mmengine - INFO - Epoch(train) [107][1200/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:55:14 time: 0.3291 data_time: 0.1055 memory: 2049 grad_norm: 5.6704 loss: 3.6076 loss_cls: 2.3298 loss_bbox: 1.2778 2024/10/27 13:40:31 - mmengine - INFO - Epoch(train) [107][1250/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:55:01 time: 0.2526 data_time: 0.0246 memory: 2049 grad_norm: 5.2991 loss: 3.7585 loss_cls: 2.4369 loss_bbox: 1.3217 2024/10/27 13:40:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:40:43 - mmengine - INFO - Epoch(train) [107][1300/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:54:49 time: 0.2434 data_time: 0.0214 memory: 2049 grad_norm: 5.2124 loss: 3.7166 loss_cls: 2.3602 loss_bbox: 1.3564 2024/10/27 13:40:56 - mmengine - INFO - Epoch(train) [107][1350/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:54:36 time: 0.2501 data_time: 0.0251 memory: 2049 grad_norm: 5.2250 loss: 3.7117 loss_cls: 2.3858 loss_bbox: 1.3260 2024/10/27 13:41:08 - mmengine - INFO - Epoch(train) [107][1400/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:54:23 time: 0.2533 data_time: 0.0218 memory: 2049 grad_norm: 5.0497 loss: 3.7337 loss_cls: 2.4256 loss_bbox: 1.3081 2024/10/27 13:41:21 - mmengine - INFO - Epoch(train) [107][1450/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:54:11 time: 0.2482 data_time: 0.0217 memory: 2049 grad_norm: 5.6015 loss: 3.7266 loss_cls: 2.4037 loss_bbox: 1.3229 2024/10/27 13:41:33 - mmengine - INFO - Epoch(train) [107][1500/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:53:58 time: 0.2568 data_time: 0.0236 memory: 2049 grad_norm: 5.3395 loss: 3.7413 loss_cls: 2.4219 loss_bbox: 1.3194 2024/10/27 13:41:46 - mmengine - INFO - Epoch(train) [107][1550/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:53:45 time: 0.2490 data_time: 0.0229 memory: 2049 grad_norm: 5.6005 loss: 3.6550 loss_cls: 2.3591 loss_bbox: 1.2960 2024/10/27 13:41:58 - mmengine - INFO - Epoch(train) [107][1600/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:53:33 time: 0.2502 data_time: 0.0213 memory: 2049 grad_norm: 5.3100 loss: 3.7273 loss_cls: 2.4019 loss_bbox: 1.3254 2024/10/27 13:42:11 - mmengine - INFO - Epoch(train) [107][1650/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:53:20 time: 0.2447 data_time: 0.0227 memory: 2049 grad_norm: 5.2612 loss: 3.8201 loss_cls: 2.4619 loss_bbox: 1.3582 2024/10/27 13:42:24 - mmengine - INFO - Epoch(train) [107][1700/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:53:07 time: 0.2599 data_time: 0.0221 memory: 2049 grad_norm: 5.2949 loss: 3.6909 loss_cls: 2.3619 loss_bbox: 1.3290 2024/10/27 13:42:36 - mmengine - INFO - Epoch(train) [107][1750/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:52:55 time: 0.2527 data_time: 0.0226 memory: 2049 grad_norm: 5.5140 loss: 3.7027 loss_cls: 2.3948 loss_bbox: 1.3079 2024/10/27 13:42:49 - mmengine - INFO - Epoch(train) [107][1800/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:52:42 time: 0.2615 data_time: 0.0302 memory: 2049 grad_norm: 5.3953 loss: 3.7234 loss_cls: 2.4089 loss_bbox: 1.3145 2024/10/27 13:43:02 - mmengine - INFO - Epoch(train) [107][1850/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:52:30 time: 0.2485 data_time: 0.0235 memory: 2049 grad_norm: 5.6151 loss: 3.8779 loss_cls: 2.4670 loss_bbox: 1.4108 2024/10/27 13:43:18 - mmengine - INFO - Epoch(train) [107][1900/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:52:17 time: 0.3236 data_time: 0.0952 memory: 2049 grad_norm: 5.4059 loss: 3.7089 loss_cls: 2.3970 loss_bbox: 1.3119 2024/10/27 13:43:31 - mmengine - INFO - Epoch(train) [107][1950/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:52:05 time: 0.2540 data_time: 0.0224 memory: 2049 grad_norm: 5.6423 loss: 3.7267 loss_cls: 2.3855 loss_bbox: 1.3412 2024/10/27 13:43:44 - mmengine - INFO - Epoch(train) [107][2000/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:51:52 time: 0.2584 data_time: 0.0217 memory: 2049 grad_norm: 5.2180 loss: 3.7372 loss_cls: 2.4161 loss_bbox: 1.3211 2024/10/27 13:43:56 - mmengine - INFO - Epoch(train) [107][2050/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:51:39 time: 0.2437 data_time: 0.0232 memory: 2049 grad_norm: 5.4501 loss: 3.6878 loss_cls: 2.3599 loss_bbox: 1.3279 2024/10/27 13:44:09 - mmengine - INFO - Epoch(train) [107][2100/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:51:27 time: 0.2554 data_time: 0.0249 memory: 2049 grad_norm: 5.1677 loss: 3.7109 loss_cls: 2.4182 loss_bbox: 1.2926 2024/10/27 13:44:23 - mmengine - INFO - Epoch(train) [107][2150/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:51:14 time: 0.2786 data_time: 0.0314 memory: 2049 grad_norm: 5.3011 loss: 3.8389 loss_cls: 2.4598 loss_bbox: 1.3791 2024/10/27 13:44:35 - mmengine - INFO - Epoch(train) [107][2200/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:51:02 time: 0.2496 data_time: 0.0232 memory: 2049 grad_norm: 5.7148 loss: 3.7110 loss_cls: 2.3997 loss_bbox: 1.3113 2024/10/27 13:44:48 - mmengine - INFO - Epoch(train) [107][2250/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:50:49 time: 0.2662 data_time: 0.0232 memory: 2049 grad_norm: 5.5545 loss: 3.7253 loss_cls: 2.4007 loss_bbox: 1.3246 2024/10/27 13:44:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:45:01 - mmengine - INFO - Epoch(train) [107][2300/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:50:36 time: 0.2515 data_time: 0.0252 memory: 2049 grad_norm: 5.4690 loss: 3.6646 loss_cls: 2.3692 loss_bbox: 1.2954 2024/10/27 13:45:18 - mmengine - INFO - Epoch(train) [107][2350/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:50:24 time: 0.3432 data_time: 0.1102 memory: 2049 grad_norm: 5.0940 loss: 3.6915 loss_cls: 2.3638 loss_bbox: 1.3277 2024/10/27 13:45:32 - mmengine - INFO - Epoch(train) [107][2400/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:50:12 time: 0.2811 data_time: 0.0325 memory: 2049 grad_norm: 5.2613 loss: 3.7505 loss_cls: 2.4325 loss_bbox: 1.3180 2024/10/27 13:45:46 - mmengine - INFO - Epoch(train) [107][2450/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:49:59 time: 0.2695 data_time: 0.0233 memory: 2049 grad_norm: 5.5818 loss: 3.6853 loss_cls: 2.4014 loss_bbox: 1.2840 2024/10/27 13:45:59 - mmengine - INFO - Epoch(train) [107][2500/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:49:47 time: 0.2594 data_time: 0.0234 memory: 2049 grad_norm: 5.3848 loss: 3.6838 loss_cls: 2.3982 loss_bbox: 1.2856 2024/10/27 13:46:12 - mmengine - INFO - Epoch(train) [107][2550/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:49:34 time: 0.2540 data_time: 0.0235 memory: 2049 grad_norm: 5.6559 loss: 3.6806 loss_cls: 2.3840 loss_bbox: 1.2966 2024/10/27 13:46:24 - mmengine - INFO - Epoch(train) [107][2600/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:49:22 time: 0.2487 data_time: 0.0229 memory: 2049 grad_norm: 5.1111 loss: 3.7160 loss_cls: 2.3886 loss_bbox: 1.3274 2024/10/27 13:46:37 - mmengine - INFO - Epoch(train) [107][2650/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:49:09 time: 0.2655 data_time: 0.0232 memory: 2049 grad_norm: 5.5122 loss: 3.7593 loss_cls: 2.4145 loss_bbox: 1.3449 2024/10/27 13:46:50 - mmengine - INFO - Epoch(train) [107][2700/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:48:56 time: 0.2588 data_time: 0.0252 memory: 2049 grad_norm: 5.4626 loss: 3.7514 loss_cls: 2.3921 loss_bbox: 1.3593 2024/10/27 13:47:03 - mmengine - INFO - Epoch(train) [107][2750/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:48:44 time: 0.2538 data_time: 0.0231 memory: 2049 grad_norm: 5.6962 loss: 3.6820 loss_cls: 2.4065 loss_bbox: 1.2756 2024/10/27 13:47:19 - mmengine - INFO - Epoch(train) [107][2800/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:48:32 time: 0.3232 data_time: 0.0857 memory: 2049 grad_norm: 5.4464 loss: 3.7135 loss_cls: 2.3972 loss_bbox: 1.3164 2024/10/27 13:47:32 - mmengine - INFO - Epoch(train) [107][2850/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:48:19 time: 0.2647 data_time: 0.0232 memory: 2049 grad_norm: 5.2322 loss: 3.6645 loss_cls: 2.3789 loss_bbox: 1.2856 2024/10/27 13:47:46 - mmengine - INFO - Epoch(train) [107][2900/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:48:06 time: 0.2653 data_time: 0.0234 memory: 2049 grad_norm: 5.9605 loss: 3.6783 loss_cls: 2.3987 loss_bbox: 1.2796 2024/10/27 13:47:59 - mmengine - INFO - Epoch(train) [107][2950/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:47:54 time: 0.2615 data_time: 0.0289 memory: 2049 grad_norm: 5.1915 loss: 3.6634 loss_cls: 2.3947 loss_bbox: 1.2687 2024/10/27 13:48:12 - mmengine - INFO - Epoch(train) [107][3000/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:47:41 time: 0.2640 data_time: 0.0371 memory: 2049 grad_norm: 5.2286 loss: 3.8386 loss_cls: 2.4469 loss_bbox: 1.3917 2024/10/27 13:48:24 - mmengine - INFO - Epoch(train) [107][3050/3054] base_lr: 3.0823e-04 lr: 3.0823e-04 eta: 2:47:29 time: 0.2421 data_time: 0.0212 memory: 2049 grad_norm: 5.5253 loss: 3.8215 loss_cls: 2.4429 loss_bbox: 1.3785 2024/10/27 13:48:25 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:48:25 - mmengine - INFO - Saving checkpoint at 107 epochs 2024/10/27 13:48:40 - mmengine - INFO - Epoch(train) [108][ 50/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:47:15 time: 0.2586 data_time: 0.0350 memory: 2049 grad_norm: 5.6850 loss: 3.7677 loss_cls: 2.4069 loss_bbox: 1.3608 2024/10/27 13:48:53 - mmengine - INFO - Epoch(train) [108][ 100/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:47:02 time: 0.2483 data_time: 0.0281 memory: 2049 grad_norm: 5.4001 loss: 3.7248 loss_cls: 2.3788 loss_bbox: 1.3460 2024/10/27 13:49:04 - mmengine - INFO - Epoch(train) [108][ 150/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:46:49 time: 0.2313 data_time: 0.0268 memory: 2049 grad_norm: 4.9073 loss: 3.6340 loss_cls: 2.3527 loss_bbox: 1.2813 2024/10/27 13:49:19 - mmengine - INFO - Epoch(train) [108][ 200/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:46:37 time: 0.2861 data_time: 0.0511 memory: 2049 grad_norm: 4.9303 loss: 3.7302 loss_cls: 2.3900 loss_bbox: 1.3402 2024/10/27 13:49:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:49:30 - mmengine - INFO - Epoch(train) [108][ 250/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:46:24 time: 0.2346 data_time: 0.0233 memory: 2049 grad_norm: 5.5377 loss: 3.5817 loss_cls: 2.3594 loss_bbox: 1.2222 2024/10/27 13:49:42 - mmengine - INFO - Epoch(train) [108][ 300/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:46:11 time: 0.2379 data_time: 0.0244 memory: 2049 grad_norm: 5.2791 loss: 3.6845 loss_cls: 2.3610 loss_bbox: 1.3236 2024/10/27 13:49:54 - mmengine - INFO - Epoch(train) [108][ 350/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:45:59 time: 0.2419 data_time: 0.0263 memory: 2049 grad_norm: 5.1630 loss: 3.6801 loss_cls: 2.3678 loss_bbox: 1.3124 2024/10/27 13:50:06 - mmengine - INFO - Epoch(train) [108][ 400/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:45:46 time: 0.2397 data_time: 0.0261 memory: 2049 grad_norm: 5.9827 loss: 3.7215 loss_cls: 2.3807 loss_bbox: 1.3408 2024/10/27 13:50:19 - mmengine - INFO - Epoch(train) [108][ 450/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:45:33 time: 0.2557 data_time: 0.0288 memory: 2049 grad_norm: 5.1531 loss: 3.5712 loss_cls: 2.3222 loss_bbox: 1.2490 2024/10/27 13:50:31 - mmengine - INFO - Epoch(train) [108][ 500/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:45:21 time: 0.2376 data_time: 0.0316 memory: 2049 grad_norm: 5.4517 loss: 3.7012 loss_cls: 2.3987 loss_bbox: 1.3025 2024/10/27 13:50:43 - mmengine - INFO - Epoch(train) [108][ 550/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:45:08 time: 0.2330 data_time: 0.0266 memory: 2049 grad_norm: 5.6281 loss: 3.7852 loss_cls: 2.4441 loss_bbox: 1.3411 2024/10/27 13:50:55 - mmengine - INFO - Epoch(train) [108][ 600/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:44:55 time: 0.2507 data_time: 0.0265 memory: 2049 grad_norm: 5.3533 loss: 3.6775 loss_cls: 2.3723 loss_bbox: 1.3052 2024/10/27 13:51:08 - mmengine - INFO - Epoch(train) [108][ 650/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:44:42 time: 0.2500 data_time: 0.0302 memory: 2049 grad_norm: 5.1221 loss: 3.7408 loss_cls: 2.4044 loss_bbox: 1.3364 2024/10/27 13:51:21 - mmengine - INFO - Epoch(train) [108][ 700/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:44:30 time: 0.2550 data_time: 0.0324 memory: 2049 grad_norm: 5.4110 loss: 3.8061 loss_cls: 2.4258 loss_bbox: 1.3803 2024/10/27 13:51:32 - mmengine - INFO - Epoch(train) [108][ 750/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:44:17 time: 0.2322 data_time: 0.0243 memory: 2049 grad_norm: 5.2700 loss: 3.6875 loss_cls: 2.3770 loss_bbox: 1.3105 2024/10/27 13:51:45 - mmengine - INFO - Epoch(train) [108][ 800/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:44:04 time: 0.2587 data_time: 0.0254 memory: 2049 grad_norm: 5.7235 loss: 3.6998 loss_cls: 2.3854 loss_bbox: 1.3144 2024/10/27 13:51:58 - mmengine - INFO - Epoch(train) [108][ 850/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:43:52 time: 0.2562 data_time: 0.0303 memory: 2049 grad_norm: 5.7686 loss: 3.7832 loss_cls: 2.4358 loss_bbox: 1.3473 2024/10/27 13:52:11 - mmengine - INFO - Epoch(train) [108][ 900/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:43:39 time: 0.2574 data_time: 0.0319 memory: 2049 grad_norm: 5.7575 loss: 3.7347 loss_cls: 2.3685 loss_bbox: 1.3662 2024/10/27 13:52:24 - mmengine - INFO - Epoch(train) [108][ 950/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:43:26 time: 0.2561 data_time: 0.0351 memory: 2049 grad_norm: 5.9426 loss: 3.6370 loss_cls: 2.3587 loss_bbox: 1.2784 2024/10/27 13:52:36 - mmengine - INFO - Epoch(train) [108][1000/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:43:14 time: 0.2416 data_time: 0.0281 memory: 2049 grad_norm: 5.3074 loss: 3.7400 loss_cls: 2.3820 loss_bbox: 1.3581 2024/10/27 13:52:48 - mmengine - INFO - Epoch(train) [108][1050/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:43:01 time: 0.2471 data_time: 0.0248 memory: 2049 grad_norm: 5.2027 loss: 3.6943 loss_cls: 2.3938 loss_bbox: 1.3004 2024/10/27 13:53:01 - mmengine - INFO - Epoch(train) [108][1100/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:42:48 time: 0.2505 data_time: 0.0256 memory: 2049 grad_norm: 5.4950 loss: 3.6855 loss_cls: 2.3599 loss_bbox: 1.3256 2024/10/27 13:53:18 - mmengine - INFO - Epoch(train) [108][1150/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:42:36 time: 0.3338 data_time: 0.1111 memory: 2049 grad_norm: 5.2724 loss: 3.8102 loss_cls: 2.4568 loss_bbox: 1.3534 2024/10/27 13:53:30 - mmengine - INFO - Epoch(train) [108][1200/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:42:24 time: 0.2535 data_time: 0.0263 memory: 2049 grad_norm: 5.7938 loss: 3.7146 loss_cls: 2.3527 loss_bbox: 1.3619 2024/10/27 13:53:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:53:42 - mmengine - INFO - Epoch(train) [108][1250/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:42:11 time: 0.2405 data_time: 0.0271 memory: 2049 grad_norm: 5.8596 loss: 3.7360 loss_cls: 2.4461 loss_bbox: 1.2899 2024/10/27 13:53:55 - mmengine - INFO - Epoch(train) [108][1300/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:41:58 time: 0.2459 data_time: 0.0254 memory: 2049 grad_norm: 5.8888 loss: 3.6605 loss_cls: 2.3861 loss_bbox: 1.2744 2024/10/27 13:54:07 - mmengine - INFO - Epoch(train) [108][1350/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:41:46 time: 0.2524 data_time: 0.0337 memory: 2049 grad_norm: 5.2668 loss: 3.7395 loss_cls: 2.4008 loss_bbox: 1.3387 2024/10/27 13:54:20 - mmengine - INFO - Epoch(train) [108][1400/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:41:33 time: 0.2448 data_time: 0.0282 memory: 2049 grad_norm: 5.8086 loss: 3.5922 loss_cls: 2.3273 loss_bbox: 1.2649 2024/10/27 13:54:34 - mmengine - INFO - Epoch(train) [108][1450/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:41:20 time: 0.2817 data_time: 0.0399 memory: 2049 grad_norm: 5.4639 loss: 3.7087 loss_cls: 2.3776 loss_bbox: 1.3311 2024/10/27 13:54:46 - mmengine - INFO - Epoch(train) [108][1500/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:41:08 time: 0.2403 data_time: 0.0245 memory: 2049 grad_norm: 6.1668 loss: 3.6331 loss_cls: 2.3525 loss_bbox: 1.2806 2024/10/27 13:54:58 - mmengine - INFO - Epoch(train) [108][1550/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:40:55 time: 0.2450 data_time: 0.0263 memory: 2049 grad_norm: 5.4855 loss: 3.6488 loss_cls: 2.3546 loss_bbox: 1.2942 2024/10/27 13:55:11 - mmengine - INFO - Epoch(train) [108][1600/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:40:42 time: 0.2609 data_time: 0.0319 memory: 2049 grad_norm: 5.4498 loss: 3.7571 loss_cls: 2.4332 loss_bbox: 1.3239 2024/10/27 13:55:23 - mmengine - INFO - Epoch(train) [108][1650/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:40:30 time: 0.2463 data_time: 0.0301 memory: 2049 grad_norm: 5.3075 loss: 3.5894 loss_cls: 2.3459 loss_bbox: 1.2435 2024/10/27 13:55:37 - mmengine - INFO - Epoch(train) [108][1700/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:40:17 time: 0.2723 data_time: 0.0290 memory: 2049 grad_norm: 4.9672 loss: 3.7700 loss_cls: 2.4114 loss_bbox: 1.3586 2024/10/27 13:55:49 - mmengine - INFO - Epoch(train) [108][1750/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:40:04 time: 0.2384 data_time: 0.0250 memory: 2049 grad_norm: 5.2518 loss: 3.7730 loss_cls: 2.4290 loss_bbox: 1.3439 2024/10/27 13:56:01 - mmengine - INFO - Epoch(train) [108][1800/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:39:52 time: 0.2498 data_time: 0.0251 memory: 2049 grad_norm: 5.4223 loss: 3.6604 loss_cls: 2.3284 loss_bbox: 1.3319 2024/10/27 13:56:14 - mmengine - INFO - Epoch(train) [108][1850/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:39:39 time: 0.2577 data_time: 0.0267 memory: 2049 grad_norm: 5.7541 loss: 3.5662 loss_cls: 2.3027 loss_bbox: 1.2635 2024/10/27 13:56:26 - mmengine - INFO - Epoch(train) [108][1900/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:39:26 time: 0.2417 data_time: 0.0269 memory: 2049 grad_norm: 5.3208 loss: 3.6316 loss_cls: 2.3664 loss_bbox: 1.2652 2024/10/27 13:56:40 - mmengine - INFO - Epoch(train) [108][1950/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:39:14 time: 0.2642 data_time: 0.0253 memory: 2049 grad_norm: 5.2520 loss: 3.7480 loss_cls: 2.3786 loss_bbox: 1.3694 2024/10/27 13:56:52 - mmengine - INFO - Epoch(train) [108][2000/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:39:01 time: 0.2446 data_time: 0.0302 memory: 2049 grad_norm: 4.9907 loss: 3.6572 loss_cls: 2.3734 loss_bbox: 1.2837 2024/10/27 13:57:04 - mmengine - INFO - Epoch(train) [108][2050/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:38:48 time: 0.2498 data_time: 0.0256 memory: 2049 grad_norm: 5.4943 loss: 3.6083 loss_cls: 2.3448 loss_bbox: 1.2635 2024/10/27 13:57:18 - mmengine - INFO - Epoch(train) [108][2100/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:38:36 time: 0.2754 data_time: 0.0393 memory: 2049 grad_norm: 5.8232 loss: 3.6699 loss_cls: 2.3780 loss_bbox: 1.2918 2024/10/27 13:57:30 - mmengine - INFO - Epoch(train) [108][2150/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:38:23 time: 0.2436 data_time: 0.0252 memory: 2049 grad_norm: 5.3622 loss: 3.6412 loss_cls: 2.3233 loss_bbox: 1.3178 2024/10/27 13:57:45 - mmengine - INFO - Epoch(train) [108][2200/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:38:11 time: 0.2893 data_time: 0.0263 memory: 2049 grad_norm: 5.8965 loss: 3.6700 loss_cls: 2.3674 loss_bbox: 1.3027 2024/10/27 13:57:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 13:57:57 - mmengine - INFO - Epoch(train) [108][2250/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:37:58 time: 0.2456 data_time: 0.0261 memory: 2049 grad_norm: 5.6871 loss: 3.6245 loss_cls: 2.3301 loss_bbox: 1.2944 2024/10/27 13:58:11 - mmengine - INFO - Epoch(train) [108][2300/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:37:45 time: 0.2644 data_time: 0.0234 memory: 2049 grad_norm: 5.6082 loss: 3.6844 loss_cls: 2.3935 loss_bbox: 1.2909 2024/10/27 13:58:23 - mmengine - INFO - Epoch(train) [108][2350/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:37:33 time: 0.2564 data_time: 0.0240 memory: 2049 grad_norm: 5.3244 loss: 3.6773 loss_cls: 2.3692 loss_bbox: 1.3081 2024/10/27 13:58:36 - mmengine - INFO - Epoch(train) [108][2400/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:37:20 time: 0.2533 data_time: 0.0249 memory: 2049 grad_norm: 5.3477 loss: 3.7124 loss_cls: 2.4081 loss_bbox: 1.3043 2024/10/27 13:58:49 - mmengine - INFO - Epoch(train) [108][2450/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:37:08 time: 0.2638 data_time: 0.0243 memory: 2049 grad_norm: 5.7020 loss: 3.7365 loss_cls: 2.4056 loss_bbox: 1.3309 2024/10/27 13:59:02 - mmengine - INFO - Epoch(train) [108][2500/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:36:55 time: 0.2505 data_time: 0.0353 memory: 2049 grad_norm: 6.0988 loss: 3.7271 loss_cls: 2.3746 loss_bbox: 1.3525 2024/10/27 13:59:17 - mmengine - INFO - Epoch(train) [108][2550/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:36:43 time: 0.3039 data_time: 0.0781 memory: 2049 grad_norm: 5.6678 loss: 3.6450 loss_cls: 2.3595 loss_bbox: 1.2855 2024/10/27 13:59:30 - mmengine - INFO - Epoch(train) [108][2600/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:36:30 time: 0.2583 data_time: 0.0233 memory: 2049 grad_norm: 5.8648 loss: 3.7164 loss_cls: 2.3798 loss_bbox: 1.3366 2024/10/27 13:59:42 - mmengine - INFO - Epoch(train) [108][2650/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:36:17 time: 0.2411 data_time: 0.0234 memory: 2049 grad_norm: 5.4709 loss: 3.6320 loss_cls: 2.3620 loss_bbox: 1.2701 2024/10/27 13:59:55 - mmengine - INFO - Epoch(train) [108][2700/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:36:05 time: 0.2641 data_time: 0.0232 memory: 2049 grad_norm: 5.6543 loss: 3.7028 loss_cls: 2.4082 loss_bbox: 1.2946 2024/10/27 14:00:07 - mmengine - INFO - Epoch(train) [108][2750/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:35:52 time: 0.2414 data_time: 0.0250 memory: 2049 grad_norm: 5.3578 loss: 3.6770 loss_cls: 2.3771 loss_bbox: 1.2999 2024/10/27 14:00:20 - mmengine - INFO - Epoch(train) [108][2800/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:35:39 time: 0.2458 data_time: 0.0307 memory: 2049 grad_norm: 5.6886 loss: 3.7950 loss_cls: 2.4191 loss_bbox: 1.3759 2024/10/27 14:00:32 - mmengine - INFO - Epoch(train) [108][2850/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:35:27 time: 0.2551 data_time: 0.0261 memory: 2049 grad_norm: 5.5613 loss: 3.6935 loss_cls: 2.3630 loss_bbox: 1.3305 2024/10/27 14:00:44 - mmengine - INFO - Epoch(train) [108][2900/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:35:14 time: 0.2341 data_time: 0.0246 memory: 2049 grad_norm: 5.8037 loss: 3.7344 loss_cls: 2.3964 loss_bbox: 1.3380 2024/10/27 14:00:57 - mmengine - INFO - Epoch(train) [108][2950/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:35:01 time: 0.2506 data_time: 0.0243 memory: 2049 grad_norm: 5.2620 loss: 3.6781 loss_cls: 2.3903 loss_bbox: 1.2879 2024/10/27 14:01:09 - mmengine - INFO - Epoch(train) [108][3000/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:34:48 time: 0.2437 data_time: 0.0245 memory: 2049 grad_norm: 5.3273 loss: 3.7930 loss_cls: 2.4291 loss_bbox: 1.3639 2024/10/27 14:01:21 - mmengine - INFO - Epoch(train) [108][3050/3054] base_lr: 2.6742e-04 lr: 2.6742e-04 eta: 2:34:36 time: 0.2399 data_time: 0.0247 memory: 2049 grad_norm: 5.7555 loss: 3.5733 loss_cls: 2.3098 loss_bbox: 1.2635 2024/10/27 14:01:22 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:01:22 - mmengine - INFO - Saving checkpoint at 108 epochs 2024/10/27 14:01:36 - mmengine - INFO - Epoch(train) [109][ 50/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:34:22 time: 0.2504 data_time: 0.0336 memory: 2049 grad_norm: 5.4905 loss: 3.5668 loss_cls: 2.3129 loss_bbox: 1.2539 2024/10/27 14:01:47 - mmengine - INFO - Epoch(train) [109][ 100/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:34:09 time: 0.2241 data_time: 0.0251 memory: 2049 grad_norm: 6.0270 loss: 3.6164 loss_cls: 2.3286 loss_bbox: 1.2878 2024/10/27 14:01:59 - mmengine - INFO - Epoch(train) [109][ 150/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:33:56 time: 0.2353 data_time: 0.0252 memory: 2049 grad_norm: 5.4013 loss: 3.7367 loss_cls: 2.4016 loss_bbox: 1.3351 2024/10/27 14:02:03 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:02:10 - mmengine - INFO - Epoch(train) [109][ 200/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:33:43 time: 0.2240 data_time: 0.0263 memory: 2049 grad_norm: 5.4824 loss: 3.6602 loss_cls: 2.3675 loss_bbox: 1.2926 2024/10/27 14:02:22 - mmengine - INFO - Epoch(train) [109][ 250/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:33:31 time: 0.2358 data_time: 0.0238 memory: 2049 grad_norm: 5.4291 loss: 3.6002 loss_cls: 2.3400 loss_bbox: 1.2602 2024/10/27 14:02:34 - mmengine - INFO - Epoch(train) [109][ 300/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:33:18 time: 0.2422 data_time: 0.0288 memory: 2049 grad_norm: 5.1082 loss: 3.5988 loss_cls: 2.3060 loss_bbox: 1.2928 2024/10/27 14:02:46 - mmengine - INFO - Epoch(train) [109][ 350/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:33:05 time: 0.2303 data_time: 0.0257 memory: 2049 grad_norm: 5.3883 loss: 3.7351 loss_cls: 2.4220 loss_bbox: 1.3131 2024/10/27 14:02:58 - mmengine - INFO - Epoch(train) [109][ 400/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:32:52 time: 0.2410 data_time: 0.0300 memory: 2049 grad_norm: 5.5085 loss: 3.7254 loss_cls: 2.3686 loss_bbox: 1.3568 2024/10/27 14:03:10 - mmengine - INFO - Epoch(train) [109][ 450/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:32:40 time: 0.2377 data_time: 0.0232 memory: 2049 grad_norm: 5.4200 loss: 3.6105 loss_cls: 2.3549 loss_bbox: 1.2556 2024/10/27 14:03:22 - mmengine - INFO - Epoch(train) [109][ 500/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:32:27 time: 0.2438 data_time: 0.0238 memory: 2049 grad_norm: 5.8347 loss: 3.6734 loss_cls: 2.3590 loss_bbox: 1.3144 2024/10/27 14:03:34 - mmengine - INFO - Epoch(train) [109][ 550/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:32:14 time: 0.2494 data_time: 0.0236 memory: 2049 grad_norm: 5.3930 loss: 3.6534 loss_cls: 2.3312 loss_bbox: 1.3222 2024/10/27 14:03:46 - mmengine - INFO - Epoch(train) [109][ 600/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:32:02 time: 0.2374 data_time: 0.0240 memory: 2049 grad_norm: 5.3359 loss: 3.7100 loss_cls: 2.3993 loss_bbox: 1.3107 2024/10/27 14:03:59 - mmengine - INFO - Epoch(train) [109][ 650/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:31:49 time: 0.2450 data_time: 0.0252 memory: 2049 grad_norm: 5.4811 loss: 3.6002 loss_cls: 2.3136 loss_bbox: 1.2866 2024/10/27 14:04:10 - mmengine - INFO - Epoch(train) [109][ 700/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:31:36 time: 0.2367 data_time: 0.0239 memory: 2049 grad_norm: 5.6674 loss: 3.6395 loss_cls: 2.3568 loss_bbox: 1.2827 2024/10/27 14:04:22 - mmengine - INFO - Epoch(train) [109][ 750/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:31:23 time: 0.2379 data_time: 0.0227 memory: 2049 grad_norm: 5.7429 loss: 3.6296 loss_cls: 2.3237 loss_bbox: 1.3060 2024/10/27 14:04:35 - mmengine - INFO - Epoch(train) [109][ 800/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:31:11 time: 0.2496 data_time: 0.0240 memory: 2049 grad_norm: 5.6123 loss: 3.6796 loss_cls: 2.3864 loss_bbox: 1.2933 2024/10/27 14:04:47 - mmengine - INFO - Epoch(train) [109][ 850/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:30:58 time: 0.2398 data_time: 0.0235 memory: 2049 grad_norm: 5.5893 loss: 3.7363 loss_cls: 2.3876 loss_bbox: 1.3487 2024/10/27 14:04:59 - mmengine - INFO - Epoch(train) [109][ 900/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:30:45 time: 0.2401 data_time: 0.0232 memory: 2049 grad_norm: 5.6831 loss: 3.6496 loss_cls: 2.3447 loss_bbox: 1.3049 2024/10/27 14:05:11 - mmengine - INFO - Epoch(train) [109][ 950/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:30:32 time: 0.2451 data_time: 0.0251 memory: 2049 grad_norm: 5.3267 loss: 3.6406 loss_cls: 2.3445 loss_bbox: 1.2961 2024/10/27 14:05:24 - mmengine - INFO - Epoch(train) [109][1000/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:30:20 time: 0.2561 data_time: 0.0289 memory: 2049 grad_norm: 6.3396 loss: 3.7066 loss_cls: 2.3573 loss_bbox: 1.3493 2024/10/27 14:05:37 - mmengine - INFO - Epoch(train) [109][1050/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:30:07 time: 0.2662 data_time: 0.0302 memory: 2049 grad_norm: 5.5231 loss: 3.6638 loss_cls: 2.3554 loss_bbox: 1.3085 2024/10/27 14:05:50 - mmengine - INFO - Epoch(train) [109][1100/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:29:55 time: 0.2459 data_time: 0.0239 memory: 2049 grad_norm: 5.1781 loss: 3.7059 loss_cls: 2.3845 loss_bbox: 1.3214 2024/10/27 14:06:02 - mmengine - INFO - Epoch(train) [109][1150/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:29:42 time: 0.2503 data_time: 0.0232 memory: 2049 grad_norm: 5.3448 loss: 3.6188 loss_cls: 2.3569 loss_bbox: 1.2619 2024/10/27 14:06:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:06:17 - mmengine - INFO - Epoch(train) [109][1200/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:29:30 time: 0.3044 data_time: 0.0784 memory: 2049 grad_norm: 6.0697 loss: 3.6459 loss_cls: 2.3219 loss_bbox: 1.3240 2024/10/27 14:06:30 - mmengine - INFO - Epoch(train) [109][1250/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:29:17 time: 0.2611 data_time: 0.0355 memory: 2049 grad_norm: 5.8540 loss: 3.6318 loss_cls: 2.3274 loss_bbox: 1.3044 2024/10/27 14:06:43 - mmengine - INFO - Epoch(train) [109][1300/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:29:04 time: 0.2501 data_time: 0.0240 memory: 2049 grad_norm: 5.8150 loss: 3.6872 loss_cls: 2.3702 loss_bbox: 1.3170 2024/10/27 14:06:56 - mmengine - INFO - Epoch(train) [109][1350/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:28:52 time: 0.2524 data_time: 0.0232 memory: 2049 grad_norm: 5.7953 loss: 3.7432 loss_cls: 2.3798 loss_bbox: 1.3634 2024/10/27 14:07:08 - mmengine - INFO - Epoch(train) [109][1400/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:28:39 time: 0.2453 data_time: 0.0236 memory: 2049 grad_norm: 5.5870 loss: 3.5998 loss_cls: 2.3135 loss_bbox: 1.2863 2024/10/27 14:07:21 - mmengine - INFO - Epoch(train) [109][1450/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:28:26 time: 0.2527 data_time: 0.0271 memory: 2049 grad_norm: 5.4825 loss: 3.6660 loss_cls: 2.3646 loss_bbox: 1.3014 2024/10/27 14:07:33 - mmengine - INFO - Epoch(train) [109][1500/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:28:14 time: 0.2525 data_time: 0.0232 memory: 2049 grad_norm: 5.9367 loss: 3.6376 loss_cls: 2.3493 loss_bbox: 1.2883 2024/10/27 14:07:46 - mmengine - INFO - Epoch(train) [109][1550/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:28:01 time: 0.2486 data_time: 0.0296 memory: 2049 grad_norm: 5.7121 loss: 3.5865 loss_cls: 2.3288 loss_bbox: 1.2578 2024/10/27 14:07:58 - mmengine - INFO - Epoch(train) [109][1600/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:27:48 time: 0.2526 data_time: 0.0236 memory: 2049 grad_norm: 5.9126 loss: 3.6938 loss_cls: 2.3637 loss_bbox: 1.3301 2024/10/27 14:08:11 - mmengine - INFO - Epoch(train) [109][1650/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:27:36 time: 0.2512 data_time: 0.0239 memory: 2049 grad_norm: 5.0523 loss: 3.5997 loss_cls: 2.3290 loss_bbox: 1.2706 2024/10/27 14:08:23 - mmengine - INFO - Epoch(train) [109][1700/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:27:23 time: 0.2502 data_time: 0.0285 memory: 2049 grad_norm: 5.6402 loss: 3.6935 loss_cls: 2.3647 loss_bbox: 1.3288 2024/10/27 14:08:36 - mmengine - INFO - Epoch(train) [109][1750/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:27:10 time: 0.2556 data_time: 0.0240 memory: 2049 grad_norm: 5.4465 loss: 3.6759 loss_cls: 2.3623 loss_bbox: 1.3136 2024/10/27 14:08:49 - mmengine - INFO - Epoch(train) [109][1800/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:26:58 time: 0.2522 data_time: 0.0261 memory: 2049 grad_norm: 5.7313 loss: 3.7286 loss_cls: 2.3914 loss_bbox: 1.3372 2024/10/27 14:09:02 - mmengine - INFO - Epoch(train) [109][1850/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:26:45 time: 0.2558 data_time: 0.0241 memory: 2049 grad_norm: 5.6991 loss: 3.5860 loss_cls: 2.3202 loss_bbox: 1.2658 2024/10/27 14:09:18 - mmengine - INFO - Epoch(train) [109][1900/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:26:33 time: 0.3190 data_time: 0.0967 memory: 2049 grad_norm: 5.5727 loss: 3.7399 loss_cls: 2.3841 loss_bbox: 1.3559 2024/10/27 14:09:31 - mmengine - INFO - Epoch(train) [109][1950/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:26:20 time: 0.2606 data_time: 0.0300 memory: 2049 grad_norm: 5.7221 loss: 3.6315 loss_cls: 2.3544 loss_bbox: 1.2771 2024/10/27 14:09:44 - mmengine - INFO - Epoch(train) [109][2000/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:26:08 time: 0.2640 data_time: 0.0212 memory: 2049 grad_norm: 5.8212 loss: 3.6157 loss_cls: 2.3556 loss_bbox: 1.2601 2024/10/27 14:09:56 - mmengine - INFO - Epoch(train) [109][2050/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:25:55 time: 0.2496 data_time: 0.0205 memory: 2049 grad_norm: 5.6057 loss: 3.6081 loss_cls: 2.3558 loss_bbox: 1.2523 2024/10/27 14:10:09 - mmengine - INFO - Epoch(train) [109][2100/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:25:42 time: 0.2621 data_time: 0.0210 memory: 2049 grad_norm: 5.7974 loss: 3.7604 loss_cls: 2.4086 loss_bbox: 1.3518 2024/10/27 14:10:22 - mmengine - INFO - Epoch(train) [109][2150/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:25:30 time: 0.2617 data_time: 0.0222 memory: 2049 grad_norm: 5.6098 loss: 3.6904 loss_cls: 2.3722 loss_bbox: 1.3182 2024/10/27 14:10:27 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:10:36 - mmengine - INFO - Epoch(train) [109][2200/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:25:17 time: 0.2672 data_time: 0.0297 memory: 2049 grad_norm: 5.6117 loss: 3.6394 loss_cls: 2.3443 loss_bbox: 1.2951 2024/10/27 14:10:49 - mmengine - INFO - Epoch(train) [109][2250/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:25:05 time: 0.2606 data_time: 0.0244 memory: 2049 grad_norm: 5.4972 loss: 3.6011 loss_cls: 2.3203 loss_bbox: 1.2807 2024/10/27 14:11:02 - mmengine - INFO - Epoch(train) [109][2300/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:24:52 time: 0.2556 data_time: 0.0217 memory: 2049 grad_norm: 5.6980 loss: 3.6386 loss_cls: 2.3455 loss_bbox: 1.2931 2024/10/27 14:11:18 - mmengine - INFO - Epoch(train) [109][2350/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:24:40 time: 0.3349 data_time: 0.0877 memory: 2049 grad_norm: 5.5445 loss: 3.6993 loss_cls: 2.3782 loss_bbox: 1.3211 2024/10/27 14:11:31 - mmengine - INFO - Epoch(train) [109][2400/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:24:27 time: 0.2520 data_time: 0.0224 memory: 2049 grad_norm: 5.4373 loss: 3.7106 loss_cls: 2.3839 loss_bbox: 1.3267 2024/10/27 14:11:45 - mmengine - INFO - Epoch(train) [109][2450/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:24:15 time: 0.2702 data_time: 0.0306 memory: 2049 grad_norm: 5.5705 loss: 3.7011 loss_cls: 2.3868 loss_bbox: 1.3143 2024/10/27 14:11:57 - mmengine - INFO - Epoch(train) [109][2500/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:24:02 time: 0.2575 data_time: 0.0257 memory: 2049 grad_norm: 5.5444 loss: 3.7234 loss_cls: 2.3787 loss_bbox: 1.3447 2024/10/27 14:12:10 - mmengine - INFO - Epoch(train) [109][2550/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:23:49 time: 0.2519 data_time: 0.0255 memory: 2049 grad_norm: 5.8443 loss: 3.6368 loss_cls: 2.3698 loss_bbox: 1.2669 2024/10/27 14:12:24 - mmengine - INFO - Epoch(train) [109][2600/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:23:37 time: 0.2693 data_time: 0.0248 memory: 2049 grad_norm: 5.4917 loss: 3.6826 loss_cls: 2.3714 loss_bbox: 1.3112 2024/10/27 14:12:37 - mmengine - INFO - Epoch(train) [109][2650/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:23:24 time: 0.2601 data_time: 0.0245 memory: 2049 grad_norm: 5.8093 loss: 3.7544 loss_cls: 2.4052 loss_bbox: 1.3492 2024/10/27 14:12:50 - mmengine - INFO - Epoch(train) [109][2700/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:23:12 time: 0.2623 data_time: 0.0239 memory: 2049 grad_norm: 5.8367 loss: 3.6526 loss_cls: 2.3598 loss_bbox: 1.2928 2024/10/27 14:13:03 - mmengine - INFO - Epoch(train) [109][2750/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:22:59 time: 0.2625 data_time: 0.0259 memory: 2049 grad_norm: 5.9836 loss: 3.7147 loss_cls: 2.3950 loss_bbox: 1.3197 2024/10/27 14:13:18 - mmengine - INFO - Epoch(train) [109][2800/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:22:47 time: 0.3025 data_time: 0.0787 memory: 2049 grad_norm: 5.4463 loss: 3.6876 loss_cls: 2.3614 loss_bbox: 1.3262 2024/10/27 14:13:31 - mmengine - INFO - Epoch(train) [109][2850/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:22:34 time: 0.2679 data_time: 0.0244 memory: 2049 grad_norm: 5.6599 loss: 3.6422 loss_cls: 2.3403 loss_bbox: 1.3019 2024/10/27 14:13:45 - mmengine - INFO - Epoch(train) [109][2900/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:22:21 time: 0.2645 data_time: 0.0245 memory: 2049 grad_norm: 5.5640 loss: 3.7024 loss_cls: 2.3706 loss_bbox: 1.3318 2024/10/27 14:13:57 - mmengine - INFO - Epoch(train) [109][2950/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:22:09 time: 0.2553 data_time: 0.0262 memory: 2049 grad_norm: 6.0804 loss: 3.6253 loss_cls: 2.3160 loss_bbox: 1.3093 2024/10/27 14:14:11 - mmengine - INFO - Epoch(train) [109][3000/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:21:56 time: 0.2676 data_time: 0.0242 memory: 2049 grad_norm: 6.2276 loss: 3.6443 loss_cls: 2.3505 loss_bbox: 1.2938 2024/10/27 14:14:24 - mmengine - INFO - Epoch(train) [109][3050/3054] base_lr: 2.2918e-04 lr: 2.2918e-04 eta: 2:21:44 time: 0.2611 data_time: 0.0300 memory: 2049 grad_norm: 5.5161 loss: 3.7316 loss_cls: 2.3980 loss_bbox: 1.3336 2024/10/27 14:14:25 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:14:25 - mmengine - INFO - Saving checkpoint at 109 epochs 2024/10/27 14:14:41 - mmengine - INFO - Epoch(train) [110][ 50/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:21:30 time: 0.2674 data_time: 0.0472 memory: 2049 grad_norm: 5.6834 loss: 3.7284 loss_cls: 2.3533 loss_bbox: 1.3751 2024/10/27 14:14:53 - mmengine - INFO - Epoch(train) [110][ 100/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:21:17 time: 0.2506 data_time: 0.0301 memory: 2049 grad_norm: 5.1481 loss: 3.6092 loss_cls: 2.3238 loss_bbox: 1.2854 2024/10/27 14:14:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:15:06 - mmengine - INFO - Epoch(train) [110][ 150/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:21:05 time: 0.2582 data_time: 0.0346 memory: 2049 grad_norm: 5.8630 loss: 3.6021 loss_cls: 2.3335 loss_bbox: 1.2686 2024/10/27 14:15:18 - mmengine - INFO - Epoch(train) [110][ 200/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:20:52 time: 0.2384 data_time: 0.0260 memory: 2049 grad_norm: 5.8896 loss: 3.7041 loss_cls: 2.3570 loss_bbox: 1.3471 2024/10/27 14:15:31 - mmengine - INFO - Epoch(train) [110][ 250/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:20:39 time: 0.2425 data_time: 0.0257 memory: 2049 grad_norm: 5.3646 loss: 3.6654 loss_cls: 2.3314 loss_bbox: 1.3340 2024/10/27 14:15:43 - mmengine - INFO - Epoch(train) [110][ 300/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:20:27 time: 0.2559 data_time: 0.0253 memory: 2049 grad_norm: 5.5395 loss: 3.6609 loss_cls: 2.3412 loss_bbox: 1.3197 2024/10/27 14:15:56 - mmengine - INFO - Epoch(train) [110][ 350/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:20:14 time: 0.2473 data_time: 0.0269 memory: 2049 grad_norm: 5.5717 loss: 3.6386 loss_cls: 2.3472 loss_bbox: 1.2914 2024/10/27 14:16:08 - mmengine - INFO - Epoch(train) [110][ 400/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:20:01 time: 0.2531 data_time: 0.0286 memory: 2049 grad_norm: 6.0837 loss: 3.7166 loss_cls: 2.3611 loss_bbox: 1.3555 2024/10/27 14:16:21 - mmengine - INFO - Epoch(train) [110][ 450/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:19:49 time: 0.2541 data_time: 0.0231 memory: 2049 grad_norm: 5.8792 loss: 3.6694 loss_cls: 2.3374 loss_bbox: 1.3320 2024/10/27 14:16:33 - mmengine - INFO - Epoch(train) [110][ 500/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:19:36 time: 0.2417 data_time: 0.0181 memory: 2049 grad_norm: 5.5589 loss: 3.6631 loss_cls: 2.3290 loss_bbox: 1.3341 2024/10/27 14:16:46 - mmengine - INFO - Epoch(train) [110][ 550/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:19:23 time: 0.2536 data_time: 0.0186 memory: 2049 grad_norm: 5.4165 loss: 3.6159 loss_cls: 2.3254 loss_bbox: 1.2905 2024/10/27 14:16:58 - mmengine - INFO - Epoch(train) [110][ 600/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:19:11 time: 0.2505 data_time: 0.0189 memory: 2049 grad_norm: 5.3613 loss: 3.7086 loss_cls: 2.3750 loss_bbox: 1.3336 2024/10/27 14:17:11 - mmengine - INFO - Epoch(train) [110][ 650/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:18:58 time: 0.2462 data_time: 0.0255 memory: 2049 grad_norm: 5.5102 loss: 3.6113 loss_cls: 2.3204 loss_bbox: 1.2909 2024/10/27 14:17:23 - mmengine - INFO - Epoch(train) [110][ 700/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:18:45 time: 0.2502 data_time: 0.0192 memory: 2049 grad_norm: 5.7214 loss: 3.7069 loss_cls: 2.3839 loss_bbox: 1.3230 2024/10/27 14:17:36 - mmengine - INFO - Epoch(train) [110][ 750/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:18:33 time: 0.2493 data_time: 0.0194 memory: 2049 grad_norm: 5.8355 loss: 3.5918 loss_cls: 2.3195 loss_bbox: 1.2723 2024/10/27 14:17:49 - mmengine - INFO - Epoch(train) [110][ 800/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:18:20 time: 0.2559 data_time: 0.0248 memory: 2049 grad_norm: 5.4292 loss: 3.5854 loss_cls: 2.3236 loss_bbox: 1.2618 2024/10/27 14:18:01 - mmengine - INFO - Epoch(train) [110][ 850/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:18:07 time: 0.2475 data_time: 0.0188 memory: 2049 grad_norm: 6.0975 loss: 3.6377 loss_cls: 2.3281 loss_bbox: 1.3096 2024/10/27 14:18:13 - mmengine - INFO - Epoch(train) [110][ 900/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:17:55 time: 0.2487 data_time: 0.0282 memory: 2049 grad_norm: 5.5784 loss: 3.5674 loss_cls: 2.3493 loss_bbox: 1.2181 2024/10/27 14:18:26 - mmengine - INFO - Epoch(train) [110][ 950/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:17:42 time: 0.2530 data_time: 0.0222 memory: 2049 grad_norm: 5.9537 loss: 3.6581 loss_cls: 2.3275 loss_bbox: 1.3306 2024/10/27 14:18:38 - mmengine - INFO - Epoch(train) [110][1000/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:17:29 time: 0.2410 data_time: 0.0242 memory: 2049 grad_norm: 5.6011 loss: 3.6499 loss_cls: 2.3286 loss_bbox: 1.3213 2024/10/27 14:18:50 - mmengine - INFO - Epoch(train) [110][1050/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:17:16 time: 0.2426 data_time: 0.0238 memory: 2049 grad_norm: 5.8253 loss: 3.5732 loss_cls: 2.3169 loss_bbox: 1.2563 2024/10/27 14:19:03 - mmengine - INFO - Epoch(train) [110][1100/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:17:04 time: 0.2522 data_time: 0.0230 memory: 2049 grad_norm: 5.8607 loss: 3.6893 loss_cls: 2.3525 loss_bbox: 1.3368 2024/10/27 14:19:08 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:19:17 - mmengine - INFO - Epoch(train) [110][1150/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:16:51 time: 0.2843 data_time: 0.0628 memory: 2049 grad_norm: 5.6540 loss: 3.5889 loss_cls: 2.3358 loss_bbox: 1.2531 2024/10/27 14:19:30 - mmengine - INFO - Epoch(train) [110][1200/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:16:39 time: 0.2517 data_time: 0.0224 memory: 2049 grad_norm: 5.9821 loss: 3.6716 loss_cls: 2.3339 loss_bbox: 1.3377 2024/10/27 14:19:42 - mmengine - INFO - Epoch(train) [110][1250/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:16:26 time: 0.2525 data_time: 0.0313 memory: 2049 grad_norm: 5.6561 loss: 3.5979 loss_cls: 2.3414 loss_bbox: 1.2566 2024/10/27 14:19:55 - mmengine - INFO - Epoch(train) [110][1300/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:16:13 time: 0.2570 data_time: 0.0251 memory: 2049 grad_norm: 6.0123 loss: 3.7197 loss_cls: 2.3811 loss_bbox: 1.3386 2024/10/27 14:20:08 - mmengine - INFO - Epoch(train) [110][1350/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:16:01 time: 0.2498 data_time: 0.0221 memory: 2049 grad_norm: 5.3376 loss: 3.6726 loss_cls: 2.3436 loss_bbox: 1.3290 2024/10/27 14:20:20 - mmengine - INFO - Epoch(train) [110][1400/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:15:48 time: 0.2526 data_time: 0.0230 memory: 2049 grad_norm: 5.5225 loss: 3.7094 loss_cls: 2.3697 loss_bbox: 1.3396 2024/10/27 14:20:33 - mmengine - INFO - Epoch(train) [110][1450/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:15:35 time: 0.2553 data_time: 0.0214 memory: 2049 grad_norm: 5.7136 loss: 3.6714 loss_cls: 2.3671 loss_bbox: 1.3043 2024/10/27 14:20:45 - mmengine - INFO - Epoch(train) [110][1500/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:15:23 time: 0.2467 data_time: 0.0215 memory: 2049 grad_norm: 5.6864 loss: 3.6334 loss_cls: 2.3310 loss_bbox: 1.3024 2024/10/27 14:20:59 - mmengine - INFO - Epoch(train) [110][1550/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:15:10 time: 0.2624 data_time: 0.0232 memory: 2049 grad_norm: 5.9431 loss: 3.7560 loss_cls: 2.3867 loss_bbox: 1.3693 2024/10/27 14:21:11 - mmengine - INFO - Epoch(train) [110][1600/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:14:57 time: 0.2495 data_time: 0.0220 memory: 2049 grad_norm: 5.8800 loss: 3.6898 loss_cls: 2.3738 loss_bbox: 1.3160 2024/10/27 14:21:24 - mmengine - INFO - Epoch(train) [110][1650/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:14:45 time: 0.2537 data_time: 0.0215 memory: 2049 grad_norm: 5.7396 loss: 3.6872 loss_cls: 2.3685 loss_bbox: 1.3187 2024/10/27 14:21:37 - mmengine - INFO - Epoch(train) [110][1700/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:14:32 time: 0.2622 data_time: 0.0221 memory: 2049 grad_norm: 5.6110 loss: 3.6334 loss_cls: 2.3629 loss_bbox: 1.2705 2024/10/27 14:21:49 - mmengine - INFO - Epoch(train) [110][1750/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:14:19 time: 0.2496 data_time: 0.0212 memory: 2049 grad_norm: 5.8948 loss: 3.7339 loss_cls: 2.3850 loss_bbox: 1.3489 2024/10/27 14:22:02 - mmengine - INFO - Epoch(train) [110][1800/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:14:07 time: 0.2610 data_time: 0.0263 memory: 2049 grad_norm: 5.4463 loss: 3.6103 loss_cls: 2.3384 loss_bbox: 1.2719 2024/10/27 14:22:19 - mmengine - INFO - Epoch(train) [110][1850/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:13:55 time: 0.3213 data_time: 0.0917 memory: 2049 grad_norm: 5.4665 loss: 3.5369 loss_cls: 2.2979 loss_bbox: 1.2390 2024/10/27 14:22:31 - mmengine - INFO - Epoch(train) [110][1900/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:13:42 time: 0.2523 data_time: 0.0217 memory: 2049 grad_norm: 5.9026 loss: 3.5943 loss_cls: 2.3378 loss_bbox: 1.2565 2024/10/27 14:22:45 - mmengine - INFO - Epoch(train) [110][1950/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:13:29 time: 0.2688 data_time: 0.0261 memory: 2049 grad_norm: 5.7937 loss: 3.6957 loss_cls: 2.3722 loss_bbox: 1.3235 2024/10/27 14:22:57 - mmengine - INFO - Epoch(train) [110][2000/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:13:17 time: 0.2433 data_time: 0.0234 memory: 2049 grad_norm: 6.1533 loss: 3.6523 loss_cls: 2.3656 loss_bbox: 1.2867 2024/10/27 14:23:10 - mmengine - INFO - Epoch(train) [110][2050/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:13:04 time: 0.2574 data_time: 0.0215 memory: 2049 grad_norm: 5.5703 loss: 3.6744 loss_cls: 2.3561 loss_bbox: 1.3183 2024/10/27 14:23:22 - mmengine - INFO - Epoch(train) [110][2100/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:12:51 time: 0.2550 data_time: 0.0262 memory: 2049 grad_norm: 5.6742 loss: 3.6843 loss_cls: 2.3357 loss_bbox: 1.3486 2024/10/27 14:23:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:23:35 - mmengine - INFO - Epoch(train) [110][2150/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:12:39 time: 0.2517 data_time: 0.0232 memory: 2049 grad_norm: 5.5649 loss: 3.6437 loss_cls: 2.3513 loss_bbox: 1.2923 2024/10/27 14:23:48 - mmengine - INFO - Epoch(train) [110][2200/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:12:26 time: 0.2605 data_time: 0.0311 memory: 2049 grad_norm: 6.0924 loss: 3.6310 loss_cls: 2.3132 loss_bbox: 1.3177 2024/10/27 14:24:01 - mmengine - INFO - Epoch(train) [110][2250/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:12:13 time: 0.2497 data_time: 0.0226 memory: 2049 grad_norm: 5.7385 loss: 3.7029 loss_cls: 2.3769 loss_bbox: 1.3260 2024/10/27 14:24:13 - mmengine - INFO - Epoch(train) [110][2300/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:12:01 time: 0.2549 data_time: 0.0225 memory: 2049 grad_norm: 6.2780 loss: 3.6263 loss_cls: 2.3407 loss_bbox: 1.2856 2024/10/27 14:24:26 - mmengine - INFO - Epoch(train) [110][2350/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:11:48 time: 0.2529 data_time: 0.0215 memory: 2049 grad_norm: 5.6898 loss: 3.5806 loss_cls: 2.3073 loss_bbox: 1.2733 2024/10/27 14:24:39 - mmengine - INFO - Epoch(train) [110][2400/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:11:35 time: 0.2552 data_time: 0.0274 memory: 2049 grad_norm: 5.6281 loss: 3.6701 loss_cls: 2.3654 loss_bbox: 1.3046 2024/10/27 14:24:52 - mmengine - INFO - Epoch(train) [110][2450/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:11:23 time: 0.2612 data_time: 0.0238 memory: 2049 grad_norm: 5.4167 loss: 3.6724 loss_cls: 2.3282 loss_bbox: 1.3442 2024/10/27 14:25:04 - mmengine - INFO - Epoch(train) [110][2500/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:11:10 time: 0.2524 data_time: 0.0216 memory: 2049 grad_norm: 5.9724 loss: 3.6482 loss_cls: 2.3571 loss_bbox: 1.2912 2024/10/27 14:25:18 - mmengine - INFO - Epoch(train) [110][2550/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:10:58 time: 0.2690 data_time: 0.0314 memory: 2049 grad_norm: 5.3460 loss: 3.5960 loss_cls: 2.3288 loss_bbox: 1.2672 2024/10/27 14:25:31 - mmengine - INFO - Epoch(train) [110][2600/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:10:45 time: 0.2524 data_time: 0.0205 memory: 2049 grad_norm: 5.1900 loss: 3.6694 loss_cls: 2.3313 loss_bbox: 1.3380 2024/10/27 14:25:43 - mmengine - INFO - Epoch(train) [110][2650/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:10:32 time: 0.2522 data_time: 0.0244 memory: 2049 grad_norm: 5.5121 loss: 3.6693 loss_cls: 2.3675 loss_bbox: 1.3018 2024/10/27 14:25:57 - mmengine - INFO - Epoch(train) [110][2700/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:10:20 time: 0.2695 data_time: 0.0266 memory: 2049 grad_norm: 5.6754 loss: 3.5862 loss_cls: 2.3173 loss_bbox: 1.2688 2024/10/27 14:26:09 - mmengine - INFO - Epoch(train) [110][2750/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:10:07 time: 0.2522 data_time: 0.0283 memory: 2049 grad_norm: 6.0631 loss: 3.5791 loss_cls: 2.3176 loss_bbox: 1.2615 2024/10/27 14:26:22 - mmengine - INFO - Epoch(train) [110][2800/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:09:54 time: 0.2558 data_time: 0.0197 memory: 2049 grad_norm: 6.3241 loss: 3.5928 loss_cls: 2.3348 loss_bbox: 1.2580 2024/10/27 14:26:35 - mmengine - INFO - Epoch(train) [110][2850/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:09:42 time: 0.2528 data_time: 0.0213 memory: 2049 grad_norm: 5.8911 loss: 3.6416 loss_cls: 2.3562 loss_bbox: 1.2855 2024/10/27 14:26:47 - mmengine - INFO - Epoch(train) [110][2900/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:09:29 time: 0.2500 data_time: 0.0201 memory: 2049 grad_norm: 5.7245 loss: 3.7559 loss_cls: 2.4069 loss_bbox: 1.3491 2024/10/27 14:27:00 - mmengine - INFO - Epoch(train) [110][2950/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:09:16 time: 0.2517 data_time: 0.0208 memory: 2049 grad_norm: 6.0408 loss: 3.6703 loss_cls: 2.3460 loss_bbox: 1.3244 2024/10/27 14:27:12 - mmengine - INFO - Epoch(train) [110][3000/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:09:04 time: 0.2485 data_time: 0.0210 memory: 2049 grad_norm: 5.7245 loss: 3.6572 loss_cls: 2.3522 loss_bbox: 1.3051 2024/10/27 14:27:25 - mmengine - INFO - Epoch(train) [110][3050/3054] base_lr: 1.9360e-04 lr: 1.9360e-04 eta: 2:08:51 time: 0.2521 data_time: 0.0207 memory: 2049 grad_norm: 6.2528 loss: 3.5801 loss_cls: 2.3089 loss_bbox: 1.2712 2024/10/27 14:27:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:27:26 - mmengine - INFO - Saving checkpoint at 110 epochs 2024/10/27 14:27:30 - mmengine - INFO - Epoch(val) [110][50/79] eta: 0:00:01 time: 0.0404 data_time: 0.0048 memory: 2049 2024/10/27 14:27:41 - mmengine - INFO - Evaluating bbox... 2024/10/27 14:28:34 - mmengine - INFO - bbox_mAP_copypaste: 0.233 0.385 0.236 0.027 0.227 0.458 2024/10/27 14:28:35 - mmengine - INFO - Epoch(val) [110][79/79] coco/bbox_mAP: 0.2330 coco/bbox_mAP_50: 0.3850 coco/bbox_mAP_75: 0.2360 coco/bbox_mAP_s: 0.0270 coco/bbox_mAP_m: 0.2270 coco/bbox_mAP_l: 0.4580 data_time: 0.0044 time: 0.0395 2024/10/27 14:28:48 - mmengine - INFO - Epoch(train) [111][ 50/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:08:37 time: 0.2529 data_time: 0.0350 memory: 2049 grad_norm: 5.5408 loss: 3.6286 loss_cls: 2.3225 loss_bbox: 1.3061 2024/10/27 14:28:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:29:00 - mmengine - INFO - Epoch(train) [111][ 100/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:08:25 time: 0.2395 data_time: 0.0247 memory: 2049 grad_norm: 5.1557 loss: 3.6530 loss_cls: 2.3417 loss_bbox: 1.3113 2024/10/27 14:29:12 - mmengine - INFO - Epoch(train) [111][ 150/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:08:12 time: 0.2406 data_time: 0.0238 memory: 2049 grad_norm: 5.8373 loss: 3.6195 loss_cls: 2.3344 loss_bbox: 1.2851 2024/10/27 14:29:24 - mmengine - INFO - Epoch(train) [111][ 200/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:07:59 time: 0.2339 data_time: 0.0233 memory: 2049 grad_norm: 5.3600 loss: 3.6289 loss_cls: 2.3632 loss_bbox: 1.2657 2024/10/27 14:29:36 - mmengine - INFO - Epoch(train) [111][ 250/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:07:46 time: 0.2389 data_time: 0.0228 memory: 2049 grad_norm: 5.6288 loss: 3.6096 loss_cls: 2.3205 loss_bbox: 1.2892 2024/10/27 14:29:48 - mmengine - INFO - Epoch(train) [111][ 300/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:07:34 time: 0.2423 data_time: 0.0231 memory: 2049 grad_norm: 5.3435 loss: 3.5547 loss_cls: 2.3002 loss_bbox: 1.2545 2024/10/27 14:29:59 - mmengine - INFO - Epoch(train) [111][ 350/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:07:21 time: 0.2354 data_time: 0.0260 memory: 2049 grad_norm: 5.9285 loss: 3.6865 loss_cls: 2.3372 loss_bbox: 1.3493 2024/10/27 14:30:11 - mmengine - INFO - Epoch(train) [111][ 400/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:07:08 time: 0.2382 data_time: 0.0232 memory: 2049 grad_norm: 5.6788 loss: 3.5908 loss_cls: 2.3106 loss_bbox: 1.2802 2024/10/27 14:30:23 - mmengine - INFO - Epoch(train) [111][ 450/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:06:56 time: 0.2359 data_time: 0.0237 memory: 2049 grad_norm: 6.0060 loss: 3.6340 loss_cls: 2.3456 loss_bbox: 1.2883 2024/10/27 14:30:36 - mmengine - INFO - Epoch(train) [111][ 500/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:06:43 time: 0.2487 data_time: 0.0232 memory: 2049 grad_norm: 5.2252 loss: 3.6351 loss_cls: 2.3321 loss_bbox: 1.3029 2024/10/27 14:30:48 - mmengine - INFO - Epoch(train) [111][ 550/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:06:30 time: 0.2503 data_time: 0.0206 memory: 2049 grad_norm: 5.6771 loss: 3.6187 loss_cls: 2.3117 loss_bbox: 1.3070 2024/10/27 14:31:00 - mmengine - INFO - Epoch(train) [111][ 600/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:06:17 time: 0.2452 data_time: 0.0228 memory: 2049 grad_norm: 5.2395 loss: 3.6181 loss_cls: 2.2895 loss_bbox: 1.3285 2024/10/27 14:31:13 - mmengine - INFO - Epoch(train) [111][ 650/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:06:05 time: 0.2471 data_time: 0.0213 memory: 2049 grad_norm: 5.6325 loss: 3.5586 loss_cls: 2.3335 loss_bbox: 1.2251 2024/10/27 14:31:25 - mmengine - INFO - Epoch(train) [111][ 700/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:05:52 time: 0.2463 data_time: 0.0221 memory: 2049 grad_norm: 6.3864 loss: 3.5940 loss_cls: 2.3405 loss_bbox: 1.2535 2024/10/27 14:31:38 - mmengine - INFO - Epoch(train) [111][ 750/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:05:39 time: 0.2495 data_time: 0.0234 memory: 2049 grad_norm: 5.9935 loss: 3.6611 loss_cls: 2.3414 loss_bbox: 1.3197 2024/10/27 14:31:50 - mmengine - INFO - Epoch(train) [111][ 800/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:05:27 time: 0.2553 data_time: 0.0235 memory: 2049 grad_norm: 5.8836 loss: 3.6549 loss_cls: 2.3561 loss_bbox: 1.2988 2024/10/27 14:32:03 - mmengine - INFO - Epoch(train) [111][ 850/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:05:14 time: 0.2458 data_time: 0.0217 memory: 2049 grad_norm: 6.0942 loss: 3.6570 loss_cls: 2.3584 loss_bbox: 1.2986 2024/10/27 14:32:17 - mmengine - INFO - Epoch(train) [111][ 900/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:05:02 time: 0.2896 data_time: 0.0678 memory: 2049 grad_norm: 5.4513 loss: 3.6062 loss_cls: 2.3318 loss_bbox: 1.2744 2024/10/27 14:32:31 - mmengine - INFO - Epoch(train) [111][ 950/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:04:49 time: 0.2704 data_time: 0.0302 memory: 2049 grad_norm: 5.4854 loss: 3.6677 loss_cls: 2.3442 loss_bbox: 1.3236 2024/10/27 14:32:43 - mmengine - INFO - Epoch(train) [111][1000/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:04:36 time: 0.2528 data_time: 0.0220 memory: 2049 grad_norm: 6.1094 loss: 3.6336 loss_cls: 2.3248 loss_bbox: 1.3088 2024/10/27 14:32:56 - mmengine - INFO - Epoch(train) [111][1050/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:04:24 time: 0.2567 data_time: 0.0236 memory: 2049 grad_norm: 5.8454 loss: 3.5561 loss_cls: 2.2786 loss_bbox: 1.2775 2024/10/27 14:32:59 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:33:09 - mmengine - INFO - Epoch(train) [111][1100/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:04:11 time: 0.2492 data_time: 0.0226 memory: 2049 grad_norm: 5.4056 loss: 3.6115 loss_cls: 2.2962 loss_bbox: 1.3152 2024/10/27 14:33:21 - mmengine - INFO - Epoch(train) [111][1150/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:03:58 time: 0.2456 data_time: 0.0221 memory: 2049 grad_norm: 5.8248 loss: 3.5838 loss_cls: 2.2931 loss_bbox: 1.2907 2024/10/27 14:33:35 - mmengine - INFO - Epoch(train) [111][1200/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:03:46 time: 0.2810 data_time: 0.0280 memory: 2049 grad_norm: 5.6752 loss: 3.6489 loss_cls: 2.3081 loss_bbox: 1.3408 2024/10/27 14:33:48 - mmengine - INFO - Epoch(train) [111][1250/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:03:33 time: 0.2542 data_time: 0.0279 memory: 2049 grad_norm: 5.8165 loss: 3.6177 loss_cls: 2.2832 loss_bbox: 1.3345 2024/10/27 14:34:00 - mmengine - INFO - Epoch(train) [111][1300/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:03:21 time: 0.2516 data_time: 0.0220 memory: 2049 grad_norm: 5.6813 loss: 3.6198 loss_cls: 2.3240 loss_bbox: 1.2958 2024/10/27 14:34:13 - mmengine - INFO - Epoch(train) [111][1350/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:03:08 time: 0.2568 data_time: 0.0238 memory: 2049 grad_norm: 6.0944 loss: 3.6219 loss_cls: 2.2984 loss_bbox: 1.3235 2024/10/27 14:34:25 - mmengine - INFO - Epoch(train) [111][1400/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:02:55 time: 0.2398 data_time: 0.0219 memory: 2049 grad_norm: 5.8748 loss: 3.6569 loss_cls: 2.3264 loss_bbox: 1.3306 2024/10/27 14:34:39 - mmengine - INFO - Epoch(train) [111][1450/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:02:43 time: 0.2665 data_time: 0.0266 memory: 2049 grad_norm: 5.9113 loss: 3.6638 loss_cls: 2.3306 loss_bbox: 1.3332 2024/10/27 14:34:51 - mmengine - INFO - Epoch(train) [111][1500/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:02:30 time: 0.2511 data_time: 0.0221 memory: 2049 grad_norm: 5.7531 loss: 3.6611 loss_cls: 2.3327 loss_bbox: 1.3284 2024/10/27 14:35:04 - mmengine - INFO - Epoch(train) [111][1550/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:02:17 time: 0.2564 data_time: 0.0213 memory: 2049 grad_norm: 5.6641 loss: 3.6452 loss_cls: 2.3514 loss_bbox: 1.2938 2024/10/27 14:35:19 - mmengine - INFO - Epoch(train) [111][1600/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:02:05 time: 0.2934 data_time: 0.0476 memory: 2049 grad_norm: 5.6579 loss: 3.4861 loss_cls: 2.2648 loss_bbox: 1.2213 2024/10/27 14:35:31 - mmengine - INFO - Epoch(train) [111][1650/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:01:52 time: 0.2383 data_time: 0.0249 memory: 2049 grad_norm: 5.9317 loss: 3.5887 loss_cls: 2.2921 loss_bbox: 1.2966 2024/10/27 14:35:44 - mmengine - INFO - Epoch(train) [111][1700/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:01:39 time: 0.2594 data_time: 0.0221 memory: 2049 grad_norm: 5.8731 loss: 3.6460 loss_cls: 2.3458 loss_bbox: 1.3002 2024/10/27 14:35:56 - mmengine - INFO - Epoch(train) [111][1750/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:01:27 time: 0.2523 data_time: 0.0213 memory: 2049 grad_norm: 5.7750 loss: 3.6383 loss_cls: 2.3583 loss_bbox: 1.2800 2024/10/27 14:36:09 - mmengine - INFO - Epoch(train) [111][1800/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:01:14 time: 0.2528 data_time: 0.0220 memory: 2049 grad_norm: 5.8009 loss: 3.6520 loss_cls: 2.3360 loss_bbox: 1.3160 2024/10/27 14:36:22 - mmengine - INFO - Epoch(train) [111][1850/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:01:02 time: 0.2636 data_time: 0.0215 memory: 2049 grad_norm: 6.0794 loss: 3.6426 loss_cls: 2.3474 loss_bbox: 1.2952 2024/10/27 14:36:34 - mmengine - INFO - Epoch(train) [111][1900/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:00:49 time: 0.2358 data_time: 0.0252 memory: 2049 grad_norm: 5.6867 loss: 3.5773 loss_cls: 2.2864 loss_bbox: 1.2908 2024/10/27 14:36:47 - mmengine - INFO - Epoch(train) [111][1950/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:00:36 time: 0.2690 data_time: 0.0287 memory: 2049 grad_norm: 5.9951 loss: 3.5695 loss_cls: 2.2892 loss_bbox: 1.2803 2024/10/27 14:36:59 - mmengine - INFO - Epoch(train) [111][2000/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:00:24 time: 0.2425 data_time: 0.0248 memory: 2049 grad_norm: 5.8587 loss: 3.6365 loss_cls: 2.3396 loss_bbox: 1.2970 2024/10/27 14:37:12 - mmengine - INFO - Epoch(train) [111][2050/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 2:00:11 time: 0.2502 data_time: 0.0247 memory: 2049 grad_norm: 5.7387 loss: 3.5984 loss_cls: 2.3026 loss_bbox: 1.2958 2024/10/27 14:37:15 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:37:25 - mmengine - INFO - Epoch(train) [111][2100/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:59:58 time: 0.2621 data_time: 0.0301 memory: 2049 grad_norm: 5.6395 loss: 3.6038 loss_cls: 2.3166 loss_bbox: 1.2871 2024/10/27 14:37:37 - mmengine - INFO - Epoch(train) [111][2150/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:59:45 time: 0.2300 data_time: 0.0252 memory: 2049 grad_norm: 5.9872 loss: 3.6315 loss_cls: 2.3120 loss_bbox: 1.3195 2024/10/27 14:37:50 - mmengine - INFO - Epoch(train) [111][2200/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:59:33 time: 0.2709 data_time: 0.0270 memory: 2049 grad_norm: 5.5753 loss: 3.6254 loss_cls: 2.3259 loss_bbox: 1.2995 2024/10/27 14:38:02 - mmengine - INFO - Epoch(train) [111][2250/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:59:20 time: 0.2400 data_time: 0.0253 memory: 2049 grad_norm: 5.8694 loss: 3.6229 loss_cls: 2.3459 loss_bbox: 1.2769 2024/10/27 14:38:18 - mmengine - INFO - Epoch(train) [111][2300/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:59:08 time: 0.3100 data_time: 0.0929 memory: 2049 grad_norm: 5.9287 loss: 3.6324 loss_cls: 2.3264 loss_bbox: 1.3060 2024/10/27 14:38:31 - mmengine - INFO - Epoch(train) [111][2350/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:58:55 time: 0.2598 data_time: 0.0286 memory: 2049 grad_norm: 5.4749 loss: 3.7791 loss_cls: 2.4110 loss_bbox: 1.3681 2024/10/27 14:38:42 - mmengine - INFO - Epoch(train) [111][2400/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:58:42 time: 0.2262 data_time: 0.0249 memory: 2049 grad_norm: 5.9574 loss: 3.6362 loss_cls: 2.3639 loss_bbox: 1.2723 2024/10/27 14:38:55 - mmengine - INFO - Epoch(train) [111][2450/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:58:30 time: 0.2632 data_time: 0.0326 memory: 2049 grad_norm: 5.9319 loss: 3.6189 loss_cls: 2.3595 loss_bbox: 1.2595 2024/10/27 14:39:07 - mmengine - INFO - Epoch(train) [111][2500/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:58:17 time: 0.2384 data_time: 0.0268 memory: 2049 grad_norm: 6.0390 loss: 3.5886 loss_cls: 2.3170 loss_bbox: 1.2716 2024/10/27 14:39:19 - mmengine - INFO - Epoch(train) [111][2550/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:58:04 time: 0.2413 data_time: 0.0250 memory: 2049 grad_norm: 5.8393 loss: 3.5466 loss_cls: 2.2809 loss_bbox: 1.2657 2024/10/27 14:39:33 - mmengine - INFO - Epoch(train) [111][2600/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:57:52 time: 0.2671 data_time: 0.0329 memory: 2049 grad_norm: 5.5740 loss: 3.5740 loss_cls: 2.3098 loss_bbox: 1.2642 2024/10/27 14:39:45 - mmengine - INFO - Epoch(train) [111][2650/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:57:39 time: 0.2366 data_time: 0.0266 memory: 2049 grad_norm: 6.0947 loss: 3.5681 loss_cls: 2.3039 loss_bbox: 1.2642 2024/10/27 14:39:57 - mmengine - INFO - Epoch(train) [111][2700/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:57:26 time: 0.2534 data_time: 0.0307 memory: 2049 grad_norm: 6.1776 loss: 3.6449 loss_cls: 2.3599 loss_bbox: 1.2849 2024/10/27 14:40:09 - mmengine - INFO - Epoch(train) [111][2750/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:57:14 time: 0.2444 data_time: 0.0256 memory: 2049 grad_norm: 5.9378 loss: 3.6504 loss_cls: 2.3452 loss_bbox: 1.3052 2024/10/27 14:40:23 - mmengine - INFO - Epoch(train) [111][2800/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:57:01 time: 0.2654 data_time: 0.0389 memory: 2049 grad_norm: 5.7618 loss: 3.6397 loss_cls: 2.3231 loss_bbox: 1.3166 2024/10/27 14:40:36 - mmengine - INFO - Epoch(train) [111][2850/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:56:48 time: 0.2568 data_time: 0.0256 memory: 2049 grad_norm: 5.9040 loss: 3.5901 loss_cls: 2.3055 loss_bbox: 1.2846 2024/10/27 14:40:48 - mmengine - INFO - Epoch(train) [111][2900/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:56:36 time: 0.2389 data_time: 0.0281 memory: 2049 grad_norm: 5.7038 loss: 3.5368 loss_cls: 2.2812 loss_bbox: 1.2557 2024/10/27 14:41:01 - mmengine - INFO - Epoch(train) [111][2950/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:56:23 time: 0.2638 data_time: 0.0251 memory: 2049 grad_norm: 5.8157 loss: 3.5790 loss_cls: 2.3087 loss_bbox: 1.2703 2024/10/27 14:41:13 - mmengine - INFO - Epoch(train) [111][3000/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:56:10 time: 0.2493 data_time: 0.0218 memory: 2049 grad_norm: 5.4616 loss: 3.5202 loss_cls: 2.2628 loss_bbox: 1.2574 2024/10/27 14:41:25 - mmengine - INFO - Epoch(train) [111][3050/3054] base_lr: 1.6077e-04 lr: 1.6077e-04 eta: 1:55:58 time: 0.2389 data_time: 0.0213 memory: 2049 grad_norm: 6.0436 loss: 3.5696 loss_cls: 2.3023 loss_bbox: 1.2673 2024/10/27 14:41:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:41:26 - mmengine - INFO - Saving checkpoint at 111 epochs 2024/10/27 14:41:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:41:42 - mmengine - INFO - Epoch(train) [112][ 50/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:55:44 time: 0.2686 data_time: 0.0321 memory: 2049 grad_norm: 5.9009 loss: 3.5451 loss_cls: 2.3057 loss_bbox: 1.2394 2024/10/27 14:41:53 - mmengine - INFO - Epoch(train) [112][ 100/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:55:31 time: 0.2299 data_time: 0.0198 memory: 2049 grad_norm: 6.0909 loss: 3.6717 loss_cls: 2.3132 loss_bbox: 1.3586 2024/10/27 14:42:06 - mmengine - INFO - Epoch(train) [112][ 150/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:55:19 time: 0.2473 data_time: 0.0198 memory: 2049 grad_norm: 5.5790 loss: 3.5626 loss_cls: 2.3184 loss_bbox: 1.2442 2024/10/27 14:42:18 - mmengine - INFO - Epoch(train) [112][ 200/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:55:06 time: 0.2527 data_time: 0.0217 memory: 2049 grad_norm: 5.5077 loss: 3.7055 loss_cls: 2.3340 loss_bbox: 1.3714 2024/10/27 14:42:30 - mmengine - INFO - Epoch(train) [112][ 250/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:54:53 time: 0.2399 data_time: 0.0251 memory: 2049 grad_norm: 5.7395 loss: 3.5189 loss_cls: 2.2643 loss_bbox: 1.2546 2024/10/27 14:42:43 - mmengine - INFO - Epoch(train) [112][ 300/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:54:41 time: 0.2583 data_time: 0.0222 memory: 2049 grad_norm: 5.8193 loss: 3.4731 loss_cls: 2.2635 loss_bbox: 1.2096 2024/10/27 14:42:55 - mmengine - INFO - Epoch(train) [112][ 350/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:54:28 time: 0.2373 data_time: 0.0198 memory: 2049 grad_norm: 5.9108 loss: 3.6808 loss_cls: 2.3320 loss_bbox: 1.3489 2024/10/27 14:43:08 - mmengine - INFO - Epoch(train) [112][ 400/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:54:15 time: 0.2526 data_time: 0.0198 memory: 2049 grad_norm: 5.5016 loss: 3.5150 loss_cls: 2.2567 loss_bbox: 1.2583 2024/10/27 14:43:21 - mmengine - INFO - Epoch(train) [112][ 450/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:54:03 time: 0.2579 data_time: 0.0203 memory: 2049 grad_norm: 6.1930 loss: 3.5163 loss_cls: 2.2710 loss_bbox: 1.2453 2024/10/27 14:43:33 - mmengine - INFO - Epoch(train) [112][ 500/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:53:50 time: 0.2493 data_time: 0.0222 memory: 2049 grad_norm: 6.1110 loss: 3.5895 loss_cls: 2.2994 loss_bbox: 1.2901 2024/10/27 14:43:46 - mmengine - INFO - Epoch(train) [112][ 550/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:53:37 time: 0.2629 data_time: 0.0207 memory: 2049 grad_norm: 5.4793 loss: 3.5741 loss_cls: 2.2861 loss_bbox: 1.2880 2024/10/27 14:43:58 - mmengine - INFO - Epoch(train) [112][ 600/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:53:25 time: 0.2339 data_time: 0.0197 memory: 2049 grad_norm: 5.7458 loss: 3.5497 loss_cls: 2.2934 loss_bbox: 1.2563 2024/10/27 14:44:11 - mmengine - INFO - Epoch(train) [112][ 650/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:53:12 time: 0.2589 data_time: 0.0201 memory: 2049 grad_norm: 5.2142 loss: 3.5732 loss_cls: 2.3121 loss_bbox: 1.2611 2024/10/27 14:44:24 - mmengine - INFO - Epoch(train) [112][ 700/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:52:59 time: 0.2525 data_time: 0.0204 memory: 2049 grad_norm: 5.5914 loss: 3.6120 loss_cls: 2.3152 loss_bbox: 1.2968 2024/10/27 14:44:36 - mmengine - INFO - Epoch(train) [112][ 750/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:52:47 time: 0.2480 data_time: 0.0205 memory: 2049 grad_norm: 5.9756 loss: 3.5404 loss_cls: 2.2935 loss_bbox: 1.2469 2024/10/27 14:44:49 - mmengine - INFO - Epoch(train) [112][ 800/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:52:34 time: 0.2504 data_time: 0.0255 memory: 2049 grad_norm: 5.8554 loss: 3.5233 loss_cls: 2.2698 loss_bbox: 1.2535 2024/10/27 14:45:01 - mmengine - INFO - Epoch(train) [112][ 850/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:52:21 time: 0.2498 data_time: 0.0203 memory: 2049 grad_norm: 5.6232 loss: 3.4827 loss_cls: 2.2681 loss_bbox: 1.2146 2024/10/27 14:45:17 - mmengine - INFO - Epoch(train) [112][ 900/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:52:09 time: 0.3204 data_time: 0.0872 memory: 2049 grad_norm: 6.2125 loss: 3.6734 loss_cls: 2.3370 loss_bbox: 1.3364 2024/10/27 14:45:30 - mmengine - INFO - Epoch(train) [112][ 950/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:51:56 time: 0.2557 data_time: 0.0252 memory: 2049 grad_norm: 5.4046 loss: 3.6515 loss_cls: 2.3517 loss_bbox: 1.2999 2024/10/27 14:45:42 - mmengine - INFO - Epoch(train) [112][1000/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:51:44 time: 0.2432 data_time: 0.0197 memory: 2049 grad_norm: 5.9732 loss: 3.5434 loss_cls: 2.2698 loss_bbox: 1.2737 2024/10/27 14:45:44 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:45:55 - mmengine - INFO - Epoch(train) [112][1050/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:51:31 time: 0.2551 data_time: 0.0209 memory: 2049 grad_norm: 5.7110 loss: 3.6882 loss_cls: 2.3465 loss_bbox: 1.3417 2024/10/27 14:46:08 - mmengine - INFO - Epoch(train) [112][1100/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:51:18 time: 0.2603 data_time: 0.0285 memory: 2049 grad_norm: 5.8689 loss: 3.5642 loss_cls: 2.2881 loss_bbox: 1.2761 2024/10/27 14:46:20 - mmengine - INFO - Epoch(train) [112][1150/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:51:06 time: 0.2441 data_time: 0.0224 memory: 2049 grad_norm: 5.4801 loss: 3.5299 loss_cls: 2.2814 loss_bbox: 1.2484 2024/10/27 14:46:33 - mmengine - INFO - Epoch(train) [112][1200/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:50:53 time: 0.2533 data_time: 0.0274 memory: 2049 grad_norm: 5.5375 loss: 3.5386 loss_cls: 2.2691 loss_bbox: 1.2695 2024/10/27 14:46:45 - mmengine - INFO - Epoch(train) [112][1250/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:50:40 time: 0.2511 data_time: 0.0227 memory: 2049 grad_norm: 5.8146 loss: 3.5290 loss_cls: 2.2644 loss_bbox: 1.2646 2024/10/27 14:46:59 - mmengine - INFO - Epoch(train) [112][1300/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:50:28 time: 0.2624 data_time: 0.0228 memory: 2049 grad_norm: 5.6586 loss: 3.6251 loss_cls: 2.3277 loss_bbox: 1.2975 2024/10/27 14:47:11 - mmengine - INFO - Epoch(train) [112][1350/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:50:15 time: 0.2526 data_time: 0.0290 memory: 2049 grad_norm: 5.6914 loss: 3.6077 loss_cls: 2.2971 loss_bbox: 1.3106 2024/10/27 14:47:24 - mmengine - INFO - Epoch(train) [112][1400/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:50:02 time: 0.2511 data_time: 0.0251 memory: 2049 grad_norm: 5.6150 loss: 3.6676 loss_cls: 2.3310 loss_bbox: 1.3366 2024/10/27 14:47:37 - mmengine - INFO - Epoch(train) [112][1450/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:49:50 time: 0.2589 data_time: 0.0290 memory: 2049 grad_norm: 5.4256 loss: 3.5501 loss_cls: 2.2556 loss_bbox: 1.2945 2024/10/27 14:47:50 - mmengine - INFO - Epoch(train) [112][1500/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:49:37 time: 0.2603 data_time: 0.0257 memory: 2049 grad_norm: 5.7338 loss: 3.5893 loss_cls: 2.3161 loss_bbox: 1.2732 2024/10/27 14:48:03 - mmengine - INFO - Epoch(train) [112][1550/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:49:24 time: 0.2566 data_time: 0.0224 memory: 2049 grad_norm: 6.2328 loss: 3.5586 loss_cls: 2.2666 loss_bbox: 1.2920 2024/10/27 14:48:18 - mmengine - INFO - Epoch(train) [112][1600/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:49:12 time: 0.3095 data_time: 0.0861 memory: 2049 grad_norm: 5.8877 loss: 3.6734 loss_cls: 2.3246 loss_bbox: 1.3488 2024/10/27 14:48:31 - mmengine - INFO - Epoch(train) [112][1650/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:48:59 time: 0.2576 data_time: 0.0230 memory: 2049 grad_norm: 5.8673 loss: 3.6513 loss_cls: 2.3373 loss_bbox: 1.3140 2024/10/27 14:48:44 - mmengine - INFO - Epoch(train) [112][1700/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:48:47 time: 0.2680 data_time: 0.0270 memory: 2049 grad_norm: 5.8364 loss: 3.6058 loss_cls: 2.3277 loss_bbox: 1.2781 2024/10/27 14:48:56 - mmengine - INFO - Epoch(train) [112][1750/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:48:34 time: 0.2415 data_time: 0.0233 memory: 2049 grad_norm: 5.8498 loss: 3.6772 loss_cls: 2.3153 loss_bbox: 1.3619 2024/10/27 14:49:09 - mmengine - INFO - Epoch(train) [112][1800/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:48:22 time: 0.2594 data_time: 0.0241 memory: 2049 grad_norm: 5.8860 loss: 3.5420 loss_cls: 2.3148 loss_bbox: 1.2272 2024/10/27 14:49:21 - mmengine - INFO - Epoch(train) [112][1850/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:48:09 time: 0.2405 data_time: 0.0252 memory: 2049 grad_norm: 5.8698 loss: 3.6325 loss_cls: 2.3164 loss_bbox: 1.3161 2024/10/27 14:49:34 - mmengine - INFO - Epoch(train) [112][1900/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:47:56 time: 0.2563 data_time: 0.0225 memory: 2049 grad_norm: 5.5056 loss: 3.6118 loss_cls: 2.3290 loss_bbox: 1.2828 2024/10/27 14:49:47 - mmengine - INFO - Epoch(train) [112][1950/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:47:44 time: 0.2617 data_time: 0.0270 memory: 2049 grad_norm: 5.7969 loss: 3.6112 loss_cls: 2.3468 loss_bbox: 1.2645 2024/10/27 14:50:00 - mmengine - INFO - Epoch(train) [112][2000/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:47:31 time: 0.2507 data_time: 0.0299 memory: 2049 grad_norm: 5.6596 loss: 3.5267 loss_cls: 2.2648 loss_bbox: 1.2620 2024/10/27 14:50:01 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:50:13 - mmengine - INFO - Epoch(train) [112][2050/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:47:18 time: 0.2547 data_time: 0.0237 memory: 2049 grad_norm: 5.6938 loss: 3.7033 loss_cls: 2.3596 loss_bbox: 1.3436 2024/10/27 14:50:25 - mmengine - INFO - Epoch(train) [112][2100/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:47:06 time: 0.2471 data_time: 0.0296 memory: 2049 grad_norm: 6.2576 loss: 3.5680 loss_cls: 2.2807 loss_bbox: 1.2873 2024/10/27 14:50:38 - mmengine - INFO - Epoch(train) [112][2150/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:46:53 time: 0.2561 data_time: 0.0251 memory: 2049 grad_norm: 5.5939 loss: 3.5701 loss_cls: 2.2880 loss_bbox: 1.2821 2024/10/27 14:50:50 - mmengine - INFO - Epoch(train) [112][2200/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:46:40 time: 0.2503 data_time: 0.0244 memory: 2049 grad_norm: 5.7442 loss: 3.6358 loss_cls: 2.3246 loss_bbox: 1.3113 2024/10/27 14:51:03 - mmengine - INFO - Epoch(train) [112][2250/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:46:28 time: 0.2436 data_time: 0.0242 memory: 2049 grad_norm: 5.7330 loss: 3.5456 loss_cls: 2.2978 loss_bbox: 1.2479 2024/10/27 14:51:18 - mmengine - INFO - Epoch(train) [112][2300/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:46:15 time: 0.2990 data_time: 0.0703 memory: 2049 grad_norm: 5.4560 loss: 3.6018 loss_cls: 2.3053 loss_bbox: 1.2965 2024/10/27 14:51:30 - mmengine - INFO - Epoch(train) [112][2350/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:46:02 time: 0.2477 data_time: 0.0336 memory: 2049 grad_norm: 5.5527 loss: 3.5414 loss_cls: 2.2672 loss_bbox: 1.2742 2024/10/27 14:51:43 - mmengine - INFO - Epoch(train) [112][2400/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:45:50 time: 0.2603 data_time: 0.0330 memory: 2049 grad_norm: 6.1186 loss: 3.5417 loss_cls: 2.2867 loss_bbox: 1.2551 2024/10/27 14:51:56 - mmengine - INFO - Epoch(train) [112][2450/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:45:37 time: 0.2665 data_time: 0.0257 memory: 2049 grad_norm: 6.2558 loss: 3.6155 loss_cls: 2.3161 loss_bbox: 1.2994 2024/10/27 14:52:10 - mmengine - INFO - Epoch(train) [112][2500/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:45:25 time: 0.2655 data_time: 0.0242 memory: 2049 grad_norm: 5.7572 loss: 3.5828 loss_cls: 2.3054 loss_bbox: 1.2774 2024/10/27 14:52:22 - mmengine - INFO - Epoch(train) [112][2550/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:45:12 time: 0.2465 data_time: 0.0239 memory: 2049 grad_norm: 6.1052 loss: 3.5662 loss_cls: 2.2927 loss_bbox: 1.2735 2024/10/27 14:52:34 - mmengine - INFO - Epoch(train) [112][2600/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:44:59 time: 0.2449 data_time: 0.0330 memory: 2049 grad_norm: 5.5941 loss: 3.5644 loss_cls: 2.2939 loss_bbox: 1.2705 2024/10/27 14:52:47 - mmengine - INFO - Epoch(train) [112][2650/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:44:47 time: 0.2480 data_time: 0.0245 memory: 2049 grad_norm: 5.9486 loss: 3.6090 loss_cls: 2.3264 loss_bbox: 1.2826 2024/10/27 14:53:00 - mmengine - INFO - Epoch(train) [112][2700/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:44:34 time: 0.2600 data_time: 0.0247 memory: 2049 grad_norm: 6.2258 loss: 3.6167 loss_cls: 2.3069 loss_bbox: 1.3098 2024/10/27 14:53:13 - mmengine - INFO - Epoch(train) [112][2750/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:44:21 time: 0.2604 data_time: 0.0250 memory: 2049 grad_norm: 5.8601 loss: 3.4903 loss_cls: 2.2583 loss_bbox: 1.2320 2024/10/27 14:53:26 - mmengine - INFO - Epoch(train) [112][2800/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:44:09 time: 0.2657 data_time: 0.0263 memory: 2049 grad_norm: 6.1709 loss: 3.5830 loss_cls: 2.3135 loss_bbox: 1.2695 2024/10/27 14:53:39 - mmengine - INFO - Epoch(train) [112][2850/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:43:56 time: 0.2603 data_time: 0.0335 memory: 2049 grad_norm: 6.2307 loss: 3.5946 loss_cls: 2.2875 loss_bbox: 1.3071 2024/10/27 14:53:52 - mmengine - INFO - Epoch(train) [112][2900/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:43:43 time: 0.2564 data_time: 0.0246 memory: 2049 grad_norm: 5.6930 loss: 3.5395 loss_cls: 2.2865 loss_bbox: 1.2530 2024/10/27 14:54:05 - mmengine - INFO - Epoch(train) [112][2950/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:43:31 time: 0.2693 data_time: 0.0323 memory: 2049 grad_norm: 6.1949 loss: 3.5810 loss_cls: 2.2997 loss_bbox: 1.2813 2024/10/27 14:54:18 - mmengine - INFO - Epoch(train) [112][3000/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:43:18 time: 0.2490 data_time: 0.0242 memory: 2049 grad_norm: 5.8077 loss: 3.6728 loss_cls: 2.3077 loss_bbox: 1.3651 2024/10/27 14:54:20 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:54:32 - mmengine - INFO - Epoch(train) [112][3050/3054] base_lr: 1.3079e-04 lr: 1.3079e-04 eta: 1:43:06 time: 0.2713 data_time: 0.0260 memory: 2049 grad_norm: 6.0208 loss: 3.4879 loss_cls: 2.2487 loss_bbox: 1.2392 2024/10/27 14:54:32 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:54:32 - mmengine - INFO - Saving checkpoint at 112 epochs 2024/10/27 14:54:49 - mmengine - INFO - Epoch(train) [113][ 50/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:42:52 time: 0.2660 data_time: 0.0377 memory: 2049 grad_norm: 5.7326 loss: 3.5820 loss_cls: 2.3221 loss_bbox: 1.2599 2024/10/27 14:55:02 - mmengine - INFO - Epoch(train) [113][ 100/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:42:39 time: 0.2650 data_time: 0.0294 memory: 2049 grad_norm: 6.1540 loss: 3.4888 loss_cls: 2.2655 loss_bbox: 1.2233 2024/10/27 14:55:20 - mmengine - INFO - Epoch(train) [113][ 150/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:42:27 time: 0.3555 data_time: 0.1251 memory: 2049 grad_norm: 5.6866 loss: 3.5460 loss_cls: 2.2880 loss_bbox: 1.2580 2024/10/27 14:55:33 - mmengine - INFO - Epoch(train) [113][ 200/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:42:14 time: 0.2617 data_time: 0.0257 memory: 2049 grad_norm: 5.3578 loss: 3.5482 loss_cls: 2.2999 loss_bbox: 1.2483 2024/10/27 14:55:46 - mmengine - INFO - Epoch(train) [113][ 250/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:42:02 time: 0.2571 data_time: 0.0283 memory: 2049 grad_norm: 5.7328 loss: 3.5878 loss_cls: 2.3036 loss_bbox: 1.2842 2024/10/27 14:55:59 - mmengine - INFO - Epoch(train) [113][ 300/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:41:49 time: 0.2633 data_time: 0.0264 memory: 2049 grad_norm: 5.7427 loss: 3.5318 loss_cls: 2.2679 loss_bbox: 1.2639 2024/10/27 14:56:12 - mmengine - INFO - Epoch(train) [113][ 350/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:41:37 time: 0.2610 data_time: 0.0289 memory: 2049 grad_norm: 5.9149 loss: 3.5457 loss_cls: 2.2615 loss_bbox: 1.2842 2024/10/27 14:56:25 - mmengine - INFO - Epoch(train) [113][ 400/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:41:24 time: 0.2597 data_time: 0.0260 memory: 2049 grad_norm: 5.9816 loss: 3.5870 loss_cls: 2.2802 loss_bbox: 1.3068 2024/10/27 14:56:39 - mmengine - INFO - Epoch(train) [113][ 450/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:41:11 time: 0.2719 data_time: 0.0306 memory: 2049 grad_norm: 6.2591 loss: 3.5941 loss_cls: 2.2860 loss_bbox: 1.3080 2024/10/27 14:56:51 - mmengine - INFO - Epoch(train) [113][ 500/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:40:59 time: 0.2498 data_time: 0.0254 memory: 2049 grad_norm: 5.9117 loss: 3.6512 loss_cls: 2.3359 loss_bbox: 1.3154 2024/10/27 14:57:04 - mmengine - INFO - Epoch(train) [113][ 550/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:40:46 time: 0.2483 data_time: 0.0261 memory: 2049 grad_norm: 5.8030 loss: 3.5913 loss_cls: 2.3030 loss_bbox: 1.2882 2024/10/27 14:57:18 - mmengine - INFO - Epoch(train) [113][ 600/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:40:33 time: 0.2798 data_time: 0.0470 memory: 2049 grad_norm: 5.8042 loss: 3.6446 loss_cls: 2.3330 loss_bbox: 1.3116 2024/10/27 14:57:31 - mmengine - INFO - Epoch(train) [113][ 650/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:40:21 time: 0.2619 data_time: 0.0378 memory: 2049 grad_norm: 5.8372 loss: 3.5756 loss_cls: 2.2937 loss_bbox: 1.2819 2024/10/27 14:57:44 - mmengine - INFO - Epoch(train) [113][ 700/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:40:08 time: 0.2654 data_time: 0.0280 memory: 2049 grad_norm: 5.5237 loss: 3.5745 loss_cls: 2.3053 loss_bbox: 1.2692 2024/10/27 14:57:57 - mmengine - INFO - Epoch(train) [113][ 750/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:39:56 time: 0.2603 data_time: 0.0255 memory: 2049 grad_norm: 5.7047 loss: 3.5766 loss_cls: 2.3002 loss_bbox: 1.2765 2024/10/27 14:58:10 - mmengine - INFO - Epoch(train) [113][ 800/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:39:43 time: 0.2543 data_time: 0.0371 memory: 2049 grad_norm: 5.6649 loss: 3.5388 loss_cls: 2.2984 loss_bbox: 1.2403 2024/10/27 14:58:23 - mmengine - INFO - Epoch(train) [113][ 850/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:39:30 time: 0.2702 data_time: 0.0303 memory: 2049 grad_norm: 5.3638 loss: 3.6782 loss_cls: 2.3339 loss_bbox: 1.3443 2024/10/27 14:58:36 - mmengine - INFO - Epoch(train) [113][ 900/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:39:18 time: 0.2483 data_time: 0.0305 memory: 2049 grad_norm: 5.7678 loss: 3.4417 loss_cls: 2.2245 loss_bbox: 1.2172 2024/10/27 14:58:49 - mmengine - INFO - Epoch(train) [113][ 950/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:39:05 time: 0.2611 data_time: 0.0271 memory: 2049 grad_norm: 5.8289 loss: 3.6090 loss_cls: 2.2873 loss_bbox: 1.3216 2024/10/27 14:58:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 14:59:03 - mmengine - INFO - Epoch(train) [113][1000/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:38:52 time: 0.2770 data_time: 0.0244 memory: 2049 grad_norm: 5.8627 loss: 3.6226 loss_cls: 2.3169 loss_bbox: 1.3057 2024/10/27 14:59:19 - mmengine - INFO - Epoch(train) [113][1050/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:38:40 time: 0.3211 data_time: 0.0974 memory: 2049 grad_norm: 5.8543 loss: 3.5942 loss_cls: 2.2866 loss_bbox: 1.3076 2024/10/27 14:59:32 - mmengine - INFO - Epoch(train) [113][1100/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:38:28 time: 0.2714 data_time: 0.0242 memory: 2049 grad_norm: 5.8397 loss: 3.6776 loss_cls: 2.3427 loss_bbox: 1.3349 2024/10/27 14:59:45 - mmengine - INFO - Epoch(train) [113][1150/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:38:15 time: 0.2532 data_time: 0.0249 memory: 2049 grad_norm: 5.8511 loss: 3.5509 loss_cls: 2.2693 loss_bbox: 1.2816 2024/10/27 14:59:58 - mmengine - INFO - Epoch(train) [113][1200/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:38:02 time: 0.2626 data_time: 0.0253 memory: 2049 grad_norm: 6.2305 loss: 3.4564 loss_cls: 2.2718 loss_bbox: 1.1846 2024/10/27 15:00:11 - mmengine - INFO - Epoch(train) [113][1250/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:37:50 time: 0.2615 data_time: 0.0347 memory: 2049 grad_norm: 5.8187 loss: 3.3686 loss_cls: 2.1816 loss_bbox: 1.1870 2024/10/27 15:00:24 - mmengine - INFO - Epoch(train) [113][1300/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:37:37 time: 0.2582 data_time: 0.0248 memory: 2049 grad_norm: 5.6391 loss: 3.6350 loss_cls: 2.3240 loss_bbox: 1.3110 2024/10/27 15:00:38 - mmengine - INFO - Epoch(train) [113][1350/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:37:24 time: 0.2697 data_time: 0.0251 memory: 2049 grad_norm: 5.4400 loss: 3.5743 loss_cls: 2.3113 loss_bbox: 1.2630 2024/10/27 15:00:51 - mmengine - INFO - Epoch(train) [113][1400/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:37:12 time: 0.2593 data_time: 0.0280 memory: 2049 grad_norm: 6.4726 loss: 3.6201 loss_cls: 2.3066 loss_bbox: 1.3135 2024/10/27 15:01:04 - mmengine - INFO - Epoch(train) [113][1450/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:36:59 time: 0.2711 data_time: 0.0284 memory: 2049 grad_norm: 5.7747 loss: 3.7195 loss_cls: 2.3551 loss_bbox: 1.3644 2024/10/27 15:01:18 - mmengine - INFO - Epoch(train) [113][1500/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:36:47 time: 0.2781 data_time: 0.0404 memory: 2049 grad_norm: 6.0719 loss: 3.6448 loss_cls: 2.3241 loss_bbox: 1.3207 2024/10/27 15:01:31 - mmengine - INFO - Epoch(train) [113][1550/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:36:34 time: 0.2591 data_time: 0.0262 memory: 2049 grad_norm: 5.7241 loss: 3.5065 loss_cls: 2.2300 loss_bbox: 1.2765 2024/10/27 15:01:44 - mmengine - INFO - Epoch(train) [113][1600/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:36:21 time: 0.2638 data_time: 0.0328 memory: 2049 grad_norm: 6.1471 loss: 3.4947 loss_cls: 2.2887 loss_bbox: 1.2060 2024/10/27 15:01:57 - mmengine - INFO - Epoch(train) [113][1650/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:36:09 time: 0.2526 data_time: 0.0246 memory: 2049 grad_norm: 6.2078 loss: 3.6062 loss_cls: 2.3241 loss_bbox: 1.2821 2024/10/27 15:02:11 - mmengine - INFO - Epoch(train) [113][1700/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:35:56 time: 0.2673 data_time: 0.0244 memory: 2049 grad_norm: 5.9827 loss: 3.5364 loss_cls: 2.2723 loss_bbox: 1.2640 2024/10/27 15:02:24 - mmengine - INFO - Epoch(train) [113][1750/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:35:43 time: 0.2614 data_time: 0.0324 memory: 2049 grad_norm: 5.5819 loss: 3.6520 loss_cls: 2.3372 loss_bbox: 1.3148 2024/10/27 15:02:36 - mmengine - INFO - Epoch(train) [113][1800/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:35:31 time: 0.2557 data_time: 0.0254 memory: 2049 grad_norm: 5.8318 loss: 3.5339 loss_cls: 2.2949 loss_bbox: 1.2390 2024/10/27 15:02:49 - mmengine - INFO - Epoch(train) [113][1850/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:35:18 time: 0.2600 data_time: 0.0264 memory: 2049 grad_norm: 5.7405 loss: 3.6095 loss_cls: 2.3084 loss_bbox: 1.3011 2024/10/27 15:03:02 - mmengine - INFO - Epoch(train) [113][1900/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:35:05 time: 0.2521 data_time: 0.0248 memory: 2049 grad_norm: 5.8742 loss: 3.4738 loss_cls: 2.2513 loss_bbox: 1.2225 2024/10/27 15:03:17 - mmengine - INFO - Epoch(train) [113][1950/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:34:53 time: 0.2962 data_time: 0.0688 memory: 2049 grad_norm: 5.7551 loss: 3.5395 loss_cls: 2.2999 loss_bbox: 1.2396 2024/10/27 15:03:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:03:30 - mmengine - INFO - Epoch(train) [113][2000/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:34:40 time: 0.2533 data_time: 0.0242 memory: 2049 grad_norm: 5.9671 loss: 3.5721 loss_cls: 2.2886 loss_bbox: 1.2836 2024/10/27 15:03:42 - mmengine - INFO - Epoch(train) [113][2050/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:34:28 time: 0.2556 data_time: 0.0246 memory: 2049 grad_norm: 6.0805 loss: 3.5473 loss_cls: 2.2857 loss_bbox: 1.2616 2024/10/27 15:03:55 - mmengine - INFO - Epoch(train) [113][2100/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:34:15 time: 0.2594 data_time: 0.0324 memory: 2049 grad_norm: 5.6509 loss: 3.6184 loss_cls: 2.2888 loss_bbox: 1.3296 2024/10/27 15:04:08 - mmengine - INFO - Epoch(train) [113][2150/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:34:02 time: 0.2482 data_time: 0.0296 memory: 2049 grad_norm: 6.3038 loss: 3.7090 loss_cls: 2.3721 loss_bbox: 1.3369 2024/10/27 15:04:21 - mmengine - INFO - Epoch(train) [113][2200/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:33:50 time: 0.2629 data_time: 0.0248 memory: 2049 grad_norm: 5.8760 loss: 3.5697 loss_cls: 2.2688 loss_bbox: 1.3009 2024/10/27 15:04:34 - mmengine - INFO - Epoch(train) [113][2250/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:33:37 time: 0.2570 data_time: 0.0241 memory: 2049 grad_norm: 5.9259 loss: 3.6186 loss_cls: 2.3182 loss_bbox: 1.3004 2024/10/27 15:04:47 - mmengine - INFO - Epoch(train) [113][2300/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:33:24 time: 0.2597 data_time: 0.0247 memory: 2049 grad_norm: 6.3569 loss: 3.5241 loss_cls: 2.2779 loss_bbox: 1.2463 2024/10/27 15:04:59 - mmengine - INFO - Epoch(train) [113][2350/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:33:12 time: 0.2500 data_time: 0.0248 memory: 2049 grad_norm: 5.7852 loss: 3.6628 loss_cls: 2.3505 loss_bbox: 1.3123 2024/10/27 15:05:12 - mmengine - INFO - Epoch(train) [113][2400/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:32:59 time: 0.2455 data_time: 0.0245 memory: 2049 grad_norm: 5.6844 loss: 3.4361 loss_cls: 2.2247 loss_bbox: 1.2113 2024/10/27 15:05:25 - mmengine - INFO - Epoch(train) [113][2450/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:32:46 time: 0.2645 data_time: 0.0262 memory: 2049 grad_norm: 6.0246 loss: 3.5634 loss_cls: 2.2833 loss_bbox: 1.2800 2024/10/27 15:05:38 - mmengine - INFO - Epoch(train) [113][2500/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:32:34 time: 0.2580 data_time: 0.0243 memory: 2049 grad_norm: 5.3856 loss: 3.5828 loss_cls: 2.3012 loss_bbox: 1.2816 2024/10/27 15:05:51 - mmengine - INFO - Epoch(train) [113][2550/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:32:21 time: 0.2649 data_time: 0.0247 memory: 2049 grad_norm: 6.0484 loss: 3.5009 loss_cls: 2.2580 loss_bbox: 1.2429 2024/10/27 15:06:04 - mmengine - INFO - Epoch(train) [113][2600/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:32:09 time: 0.2581 data_time: 0.0258 memory: 2049 grad_norm: 6.1100 loss: 3.5664 loss_cls: 2.2859 loss_bbox: 1.2804 2024/10/27 15:06:17 - mmengine - INFO - Epoch(train) [113][2650/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:31:56 time: 0.2585 data_time: 0.0318 memory: 2049 grad_norm: 5.8501 loss: 3.5710 loss_cls: 2.2853 loss_bbox: 1.2857 2024/10/27 15:06:30 - mmengine - INFO - Epoch(train) [113][2700/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:31:43 time: 0.2588 data_time: 0.0250 memory: 2049 grad_norm: 5.8520 loss: 3.4850 loss_cls: 2.2631 loss_bbox: 1.2219 2024/10/27 15:06:43 - mmengine - INFO - Epoch(train) [113][2750/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:31:31 time: 0.2666 data_time: 0.0393 memory: 2049 grad_norm: 5.8755 loss: 3.5772 loss_cls: 2.3042 loss_bbox: 1.2730 2024/10/27 15:06:57 - mmengine - INFO - Epoch(train) [113][2800/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:31:18 time: 0.2648 data_time: 0.0244 memory: 2049 grad_norm: 5.9877 loss: 3.5885 loss_cls: 2.3143 loss_bbox: 1.2742 2024/10/27 15:07:09 - mmengine - INFO - Epoch(train) [113][2850/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:31:05 time: 0.2556 data_time: 0.0241 memory: 2049 grad_norm: 5.8794 loss: 3.5290 loss_cls: 2.2782 loss_bbox: 1.2509 2024/10/27 15:07:22 - mmengine - INFO - Epoch(train) [113][2900/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:30:53 time: 0.2552 data_time: 0.0249 memory: 2049 grad_norm: 6.0545 loss: 3.5544 loss_cls: 2.3058 loss_bbox: 1.2486 2024/10/27 15:07:35 - mmengine - INFO - Epoch(train) [113][2950/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:30:40 time: 0.2605 data_time: 0.0249 memory: 2049 grad_norm: 5.8620 loss: 3.5881 loss_cls: 2.2653 loss_bbox: 1.3228 2024/10/27 15:07:36 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:07:48 - mmengine - INFO - Epoch(train) [113][3000/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:30:27 time: 0.2525 data_time: 0.0245 memory: 2049 grad_norm: 5.8771 loss: 3.6027 loss_cls: 2.3072 loss_bbox: 1.2955 2024/10/27 15:08:01 - mmengine - INFO - Epoch(train) [113][3050/3054] base_lr: 1.0375e-04 lr: 1.0375e-04 eta: 1:30:15 time: 0.2607 data_time: 0.0248 memory: 2049 grad_norm: 6.0062 loss: 3.6367 loss_cls: 2.3292 loss_bbox: 1.3075 2024/10/27 15:08:02 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:08:02 - mmengine - INFO - Saving checkpoint at 113 epochs 2024/10/27 15:08:20 - mmengine - INFO - Epoch(train) [114][ 50/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:30:01 time: 0.2610 data_time: 0.0370 memory: 2049 grad_norm: 5.8854 loss: 3.5154 loss_cls: 2.2697 loss_bbox: 1.2457 2024/10/27 15:08:32 - mmengine - INFO - Epoch(train) [114][ 100/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:29:48 time: 0.2417 data_time: 0.0264 memory: 2049 grad_norm: 5.9112 loss: 3.5989 loss_cls: 2.3289 loss_bbox: 1.2700 2024/10/27 15:08:45 - mmengine - INFO - Epoch(train) [114][ 150/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:29:36 time: 0.2508 data_time: 0.0249 memory: 2049 grad_norm: 6.1175 loss: 3.5933 loss_cls: 2.3205 loss_bbox: 1.2728 2024/10/27 15:08:57 - mmengine - INFO - Epoch(train) [114][ 200/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:29:23 time: 0.2374 data_time: 0.0247 memory: 2049 grad_norm: 6.2626 loss: 3.6542 loss_cls: 2.2944 loss_bbox: 1.3597 2024/10/27 15:09:09 - mmengine - INFO - Epoch(train) [114][ 250/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:29:10 time: 0.2505 data_time: 0.0292 memory: 2049 grad_norm: 5.7552 loss: 3.5614 loss_cls: 2.2797 loss_bbox: 1.2817 2024/10/27 15:09:22 - mmengine - INFO - Epoch(train) [114][ 300/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:28:58 time: 0.2476 data_time: 0.0271 memory: 2049 grad_norm: 5.9988 loss: 3.6001 loss_cls: 2.2923 loss_bbox: 1.3078 2024/10/27 15:09:34 - mmengine - INFO - Epoch(train) [114][ 350/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:28:45 time: 0.2455 data_time: 0.0258 memory: 2049 grad_norm: 6.0773 loss: 3.5506 loss_cls: 2.2748 loss_bbox: 1.2757 2024/10/27 15:09:46 - mmengine - INFO - Epoch(train) [114][ 400/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:28:32 time: 0.2404 data_time: 0.0328 memory: 2049 grad_norm: 5.8402 loss: 3.5789 loss_cls: 2.2933 loss_bbox: 1.2857 2024/10/27 15:09:58 - mmengine - INFO - Epoch(train) [114][ 450/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:28:20 time: 0.2391 data_time: 0.0266 memory: 2049 grad_norm: 6.2284 loss: 3.4211 loss_cls: 2.2160 loss_bbox: 1.2051 2024/10/27 15:10:10 - mmengine - INFO - Epoch(train) [114][ 500/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:28:07 time: 0.2486 data_time: 0.0251 memory: 2049 grad_norm: 5.9688 loss: 3.6664 loss_cls: 2.3245 loss_bbox: 1.3419 2024/10/27 15:10:23 - mmengine - INFO - Epoch(train) [114][ 550/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:27:54 time: 0.2408 data_time: 0.0346 memory: 2049 grad_norm: 5.8314 loss: 3.6373 loss_cls: 2.3555 loss_bbox: 1.2819 2024/10/27 15:10:34 - mmengine - INFO - Epoch(train) [114][ 600/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:27:41 time: 0.2363 data_time: 0.0245 memory: 2049 grad_norm: 5.7120 loss: 3.4952 loss_cls: 2.2537 loss_bbox: 1.2414 2024/10/27 15:10:47 - mmengine - INFO - Epoch(train) [114][ 650/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:27:29 time: 0.2436 data_time: 0.0268 memory: 2049 grad_norm: 5.5593 loss: 3.5680 loss_cls: 2.2808 loss_bbox: 1.2872 2024/10/27 15:10:58 - mmengine - INFO - Epoch(train) [114][ 700/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:27:16 time: 0.2359 data_time: 0.0251 memory: 2049 grad_norm: 6.1093 loss: 3.5330 loss_cls: 2.2663 loss_bbox: 1.2666 2024/10/27 15:11:11 - mmengine - INFO - Epoch(train) [114][ 750/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:27:03 time: 0.2552 data_time: 0.0242 memory: 2049 grad_norm: 5.7194 loss: 3.5601 loss_cls: 2.2849 loss_bbox: 1.2751 2024/10/27 15:11:23 - mmengine - INFO - Epoch(train) [114][ 800/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:26:51 time: 0.2280 data_time: 0.0239 memory: 2049 grad_norm: 6.0074 loss: 3.5676 loss_cls: 2.3033 loss_bbox: 1.2643 2024/10/27 15:11:35 - mmengine - INFO - Epoch(train) [114][ 850/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:26:38 time: 0.2386 data_time: 0.0242 memory: 2049 grad_norm: 5.7883 loss: 3.6115 loss_cls: 2.3042 loss_bbox: 1.3073 2024/10/27 15:11:47 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:11:47 - mmengine - INFO - Epoch(train) [114][ 900/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:26:25 time: 0.2475 data_time: 0.0246 memory: 2049 grad_norm: 5.6155 loss: 3.5169 loss_cls: 2.2566 loss_bbox: 1.2603 2024/10/27 15:11:58 - mmengine - INFO - Epoch(train) [114][ 950/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:26:12 time: 0.2291 data_time: 0.0258 memory: 2049 grad_norm: 5.7100 loss: 3.5427 loss_cls: 2.2829 loss_bbox: 1.2598 2024/10/27 15:12:12 - mmengine - INFO - Epoch(train) [114][1000/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:26:00 time: 0.2621 data_time: 0.0265 memory: 2049 grad_norm: 5.5922 loss: 3.6098 loss_cls: 2.3090 loss_bbox: 1.3007 2024/10/27 15:12:23 - mmengine - INFO - Epoch(train) [114][1050/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:25:47 time: 0.2213 data_time: 0.0248 memory: 2049 grad_norm: 6.3584 loss: 3.4663 loss_cls: 2.2416 loss_bbox: 1.2247 2024/10/27 15:12:34 - mmengine - INFO - Epoch(train) [114][1100/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:25:34 time: 0.2361 data_time: 0.0244 memory: 2049 grad_norm: 6.0944 loss: 3.4838 loss_cls: 2.2579 loss_bbox: 1.2259 2024/10/27 15:12:46 - mmengine - INFO - Epoch(train) [114][1150/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:25:22 time: 0.2376 data_time: 0.0318 memory: 2049 grad_norm: 5.6911 loss: 3.4872 loss_cls: 2.2574 loss_bbox: 1.2298 2024/10/27 15:12:58 - mmengine - INFO - Epoch(train) [114][1200/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:25:09 time: 0.2297 data_time: 0.0263 memory: 2049 grad_norm: 6.3159 loss: 3.5427 loss_cls: 2.2790 loss_bbox: 1.2637 2024/10/27 15:13:11 - mmengine - INFO - Epoch(train) [114][1250/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:24:56 time: 0.2571 data_time: 0.0337 memory: 2049 grad_norm: 5.6940 loss: 3.4982 loss_cls: 2.2638 loss_bbox: 1.2344 2024/10/27 15:13:22 - mmengine - INFO - Epoch(train) [114][1300/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:24:43 time: 0.2305 data_time: 0.0259 memory: 2049 grad_norm: 6.4030 loss: 3.4590 loss_cls: 2.2330 loss_bbox: 1.2261 2024/10/27 15:13:34 - mmengine - INFO - Epoch(train) [114][1350/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:24:31 time: 0.2380 data_time: 0.0258 memory: 2049 grad_norm: 6.1139 loss: 3.5181 loss_cls: 2.2742 loss_bbox: 1.2440 2024/10/27 15:13:46 - mmengine - INFO - Epoch(train) [114][1400/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:24:18 time: 0.2392 data_time: 0.0331 memory: 2049 grad_norm: 5.6046 loss: 3.4972 loss_cls: 2.2425 loss_bbox: 1.2547 2024/10/27 15:13:58 - mmengine - INFO - Epoch(train) [114][1450/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:24:05 time: 0.2330 data_time: 0.0261 memory: 2049 grad_norm: 5.5400 loss: 3.4432 loss_cls: 2.2314 loss_bbox: 1.2118 2024/10/27 15:14:11 - mmengine - INFO - Epoch(train) [114][1500/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:23:53 time: 0.2683 data_time: 0.0260 memory: 2049 grad_norm: 5.9519 loss: 3.5190 loss_cls: 2.2601 loss_bbox: 1.2589 2024/10/27 15:14:23 - mmengine - INFO - Epoch(train) [114][1550/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:23:40 time: 0.2360 data_time: 0.0247 memory: 2049 grad_norm: 5.7814 loss: 3.4896 loss_cls: 2.2532 loss_bbox: 1.2364 2024/10/27 15:14:35 - mmengine - INFO - Epoch(train) [114][1600/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:23:27 time: 0.2401 data_time: 0.0252 memory: 2049 grad_norm: 5.6644 loss: 3.5872 loss_cls: 2.3236 loss_bbox: 1.2637 2024/10/27 15:14:47 - mmengine - INFO - Epoch(train) [114][1650/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:23:15 time: 0.2305 data_time: 0.0252 memory: 2049 grad_norm: 5.6708 loss: 3.5831 loss_cls: 2.2823 loss_bbox: 1.3008 2024/10/27 15:14:58 - mmengine - INFO - Epoch(train) [114][1700/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:23:02 time: 0.2343 data_time: 0.0302 memory: 2049 grad_norm: 5.8491 loss: 3.5744 loss_cls: 2.2713 loss_bbox: 1.3031 2024/10/27 15:15:11 - mmengine - INFO - Epoch(train) [114][1750/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:22:49 time: 0.2514 data_time: 0.0246 memory: 2049 grad_norm: 5.8779 loss: 3.5906 loss_cls: 2.3029 loss_bbox: 1.2877 2024/10/27 15:15:23 - mmengine - INFO - Epoch(train) [114][1800/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:22:36 time: 0.2290 data_time: 0.0265 memory: 2049 grad_norm: 5.6622 loss: 3.5160 loss_cls: 2.2849 loss_bbox: 1.2310 2024/10/27 15:15:35 - mmengine - INFO - Epoch(train) [114][1850/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:22:24 time: 0.2443 data_time: 0.0277 memory: 2049 grad_norm: 5.4991 loss: 3.4946 loss_cls: 2.2531 loss_bbox: 1.2415 2024/10/27 15:15:46 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:15:47 - mmengine - INFO - Epoch(train) [114][1900/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:22:11 time: 0.2391 data_time: 0.0254 memory: 2049 grad_norm: 6.0000 loss: 3.4965 loss_cls: 2.2536 loss_bbox: 1.2429 2024/10/27 15:15:58 - mmengine - INFO - Epoch(train) [114][1950/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:21:58 time: 0.2225 data_time: 0.0262 memory: 2049 grad_norm: 6.1147 loss: 3.5492 loss_cls: 2.2607 loss_bbox: 1.2885 2024/10/27 15:16:11 - mmengine - INFO - Epoch(train) [114][2000/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:21:46 time: 0.2580 data_time: 0.0403 memory: 2049 grad_norm: 5.7304 loss: 3.5788 loss_cls: 2.2689 loss_bbox: 1.3099 2024/10/27 15:16:22 - mmengine - INFO - Epoch(train) [114][2050/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:21:33 time: 0.2258 data_time: 0.0256 memory: 2049 grad_norm: 6.1291 loss: 3.5577 loss_cls: 2.3227 loss_bbox: 1.2350 2024/10/27 15:16:35 - mmengine - INFO - Epoch(train) [114][2100/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:21:20 time: 0.2486 data_time: 0.0285 memory: 2049 grad_norm: 6.4244 loss: 3.4624 loss_cls: 2.1935 loss_bbox: 1.2690 2024/10/27 15:16:47 - mmengine - INFO - Epoch(train) [114][2150/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:21:08 time: 0.2436 data_time: 0.0246 memory: 2049 grad_norm: 6.0021 loss: 3.4052 loss_cls: 2.1848 loss_bbox: 1.2204 2024/10/27 15:16:59 - mmengine - INFO - Epoch(train) [114][2200/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:20:55 time: 0.2378 data_time: 0.0389 memory: 2049 grad_norm: 5.9386 loss: 3.5462 loss_cls: 2.2932 loss_bbox: 1.2530 2024/10/27 15:17:11 - mmengine - INFO - Epoch(train) [114][2250/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:20:42 time: 0.2452 data_time: 0.0242 memory: 2049 grad_norm: 5.5108 loss: 3.5873 loss_cls: 2.2989 loss_bbox: 1.2884 2024/10/27 15:17:23 - mmengine - INFO - Epoch(train) [114][2300/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:20:29 time: 0.2375 data_time: 0.0265 memory: 2049 grad_norm: 5.9325 loss: 3.5740 loss_cls: 2.2626 loss_bbox: 1.3114 2024/10/27 15:17:35 - mmengine - INFO - Epoch(train) [114][2350/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:20:17 time: 0.2332 data_time: 0.0238 memory: 2049 grad_norm: 6.1444 loss: 3.5339 loss_cls: 2.2775 loss_bbox: 1.2564 2024/10/27 15:17:47 - mmengine - INFO - Epoch(train) [114][2400/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:20:04 time: 0.2495 data_time: 0.0267 memory: 2049 grad_norm: 5.6298 loss: 3.5240 loss_cls: 2.2545 loss_bbox: 1.2695 2024/10/27 15:17:58 - mmengine - INFO - Epoch(train) [114][2450/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:19:51 time: 0.2222 data_time: 0.0244 memory: 2049 grad_norm: 6.3256 loss: 3.5977 loss_cls: 2.2745 loss_bbox: 1.3232 2024/10/27 15:18:11 - mmengine - INFO - Epoch(train) [114][2500/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:19:39 time: 0.2539 data_time: 0.0320 memory: 2049 grad_norm: 6.0112 loss: 3.5216 loss_cls: 2.2480 loss_bbox: 1.2736 2024/10/27 15:18:22 - mmengine - INFO - Epoch(train) [114][2550/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:19:26 time: 0.2248 data_time: 0.0241 memory: 2049 grad_norm: 6.1300 loss: 3.5476 loss_cls: 2.2865 loss_bbox: 1.2611 2024/10/27 15:18:34 - mmengine - INFO - Epoch(train) [114][2600/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:19:13 time: 0.2340 data_time: 0.0241 memory: 2049 grad_norm: 5.8704 loss: 3.5679 loss_cls: 2.2921 loss_bbox: 1.2758 2024/10/27 15:18:46 - mmengine - INFO - Epoch(train) [114][2650/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:19:00 time: 0.2439 data_time: 0.0237 memory: 2049 grad_norm: 5.6049 loss: 3.5467 loss_cls: 2.2793 loss_bbox: 1.2674 2024/10/27 15:18:57 - mmengine - INFO - Epoch(train) [114][2700/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:18:48 time: 0.2230 data_time: 0.0270 memory: 2049 grad_norm: 5.7419 loss: 3.5092 loss_cls: 2.2421 loss_bbox: 1.2672 2024/10/27 15:19:10 - mmengine - INFO - Epoch(train) [114][2750/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:18:35 time: 0.2565 data_time: 0.0244 memory: 2049 grad_norm: 5.7460 loss: 3.4790 loss_cls: 2.2596 loss_bbox: 1.2194 2024/10/27 15:19:21 - mmengine - INFO - Epoch(train) [114][2800/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:18:22 time: 0.2220 data_time: 0.0243 memory: 2049 grad_norm: 5.8983 loss: 3.4954 loss_cls: 2.2545 loss_bbox: 1.2409 2024/10/27 15:19:33 - mmengine - INFO - Epoch(train) [114][2850/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:18:10 time: 0.2363 data_time: 0.0251 memory: 2049 grad_norm: 5.9428 loss: 3.6414 loss_cls: 2.3294 loss_bbox: 1.3120 2024/10/27 15:19:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:19:45 - mmengine - INFO - Epoch(train) [114][2900/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:17:57 time: 0.2387 data_time: 0.0313 memory: 2049 grad_norm: 6.0376 loss: 3.4976 loss_cls: 2.2820 loss_bbox: 1.2156 2024/10/27 15:19:57 - mmengine - INFO - Epoch(train) [114][2950/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:17:44 time: 0.2292 data_time: 0.0235 memory: 2049 grad_norm: 6.3027 loss: 3.4908 loss_cls: 2.2631 loss_bbox: 1.2277 2024/10/27 15:20:10 - mmengine - INFO - Epoch(train) [114][3000/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:17:32 time: 0.2603 data_time: 0.0248 memory: 2049 grad_norm: 5.7560 loss: 3.6057 loss_cls: 2.3064 loss_bbox: 1.2993 2024/10/27 15:20:21 - mmengine - INFO - Epoch(train) [114][3050/3054] base_lr: 7.9703e-05 lr: 7.9703e-05 eta: 1:17:19 time: 0.2368 data_time: 0.0312 memory: 2049 grad_norm: 6.1234 loss: 3.5711 loss_cls: 2.2788 loss_bbox: 1.2923 2024/10/27 15:20:22 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:20:22 - mmengine - INFO - Saving checkpoint at 114 epochs 2024/10/27 15:20:38 - mmengine - INFO - Epoch(train) [115][ 50/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:17:05 time: 0.2615 data_time: 0.0358 memory: 2049 grad_norm: 5.8342 loss: 3.5061 loss_cls: 2.2611 loss_bbox: 1.2450 2024/10/27 15:20:50 - mmengine - INFO - Epoch(train) [115][ 100/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:16:52 time: 0.2348 data_time: 0.0259 memory: 2049 grad_norm: 5.7723 loss: 3.6225 loss_cls: 2.3349 loss_bbox: 1.2877 2024/10/27 15:21:01 - mmengine - INFO - Epoch(train) [115][ 150/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:16:40 time: 0.2300 data_time: 0.0280 memory: 2049 grad_norm: 6.1256 loss: 3.6031 loss_cls: 2.2949 loss_bbox: 1.3082 2024/10/27 15:21:18 - mmengine - INFO - Epoch(train) [115][ 200/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:16:27 time: 0.3325 data_time: 0.1048 memory: 2049 grad_norm: 5.8859 loss: 3.6188 loss_cls: 2.3341 loss_bbox: 1.2847 2024/10/27 15:21:30 - mmengine - INFO - Epoch(train) [115][ 250/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:16:15 time: 0.2316 data_time: 0.0247 memory: 2049 grad_norm: 5.8016 loss: 3.5421 loss_cls: 2.2682 loss_bbox: 1.2738 2024/10/27 15:21:42 - mmengine - INFO - Epoch(train) [115][ 300/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:16:02 time: 0.2488 data_time: 0.0264 memory: 2049 grad_norm: 6.0373 loss: 3.5496 loss_cls: 2.2774 loss_bbox: 1.2722 2024/10/27 15:21:54 - mmengine - INFO - Epoch(train) [115][ 350/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:15:49 time: 0.2425 data_time: 0.0263 memory: 2049 grad_norm: 5.8129 loss: 3.5024 loss_cls: 2.2452 loss_bbox: 1.2572 2024/10/27 15:22:06 - mmengine - INFO - Epoch(train) [115][ 400/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:15:36 time: 0.2285 data_time: 0.0254 memory: 2049 grad_norm: 5.6000 loss: 3.5737 loss_cls: 2.2894 loss_bbox: 1.2843 2024/10/27 15:22:18 - mmengine - INFO - Epoch(train) [115][ 450/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:15:24 time: 0.2474 data_time: 0.0246 memory: 2049 grad_norm: 5.6220 loss: 3.6051 loss_cls: 2.3183 loss_bbox: 1.2868 2024/10/27 15:22:30 - mmengine - INFO - Epoch(train) [115][ 500/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:15:11 time: 0.2321 data_time: 0.0248 memory: 2049 grad_norm: 6.0980 loss: 3.4897 loss_cls: 2.2423 loss_bbox: 1.2474 2024/10/27 15:22:42 - mmengine - INFO - Epoch(train) [115][ 550/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:14:58 time: 0.2409 data_time: 0.0246 memory: 2049 grad_norm: 6.0098 loss: 3.5681 loss_cls: 2.3291 loss_bbox: 1.2390 2024/10/27 15:22:53 - mmengine - INFO - Epoch(train) [115][ 600/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:14:46 time: 0.2286 data_time: 0.0246 memory: 2049 grad_norm: 6.0213 loss: 3.5027 loss_cls: 2.2163 loss_bbox: 1.2864 2024/10/27 15:23:05 - mmengine - INFO - Epoch(train) [115][ 650/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:14:33 time: 0.2424 data_time: 0.0338 memory: 2049 grad_norm: 5.4359 loss: 3.5078 loss_cls: 2.2571 loss_bbox: 1.2508 2024/10/27 15:23:18 - mmengine - INFO - Epoch(train) [115][ 700/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:14:20 time: 0.2443 data_time: 0.0254 memory: 2049 grad_norm: 5.9231 loss: 3.4640 loss_cls: 2.2412 loss_bbox: 1.2228 2024/10/27 15:23:29 - mmengine - INFO - Epoch(train) [115][ 750/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:14:08 time: 0.2267 data_time: 0.0249 memory: 2049 grad_norm: 5.7821 loss: 3.4700 loss_cls: 2.2341 loss_bbox: 1.2358 2024/10/27 15:23:42 - mmengine - INFO - Epoch(train) [115][ 800/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:13:55 time: 0.2497 data_time: 0.0294 memory: 2049 grad_norm: 5.6108 loss: 3.5243 loss_cls: 2.2665 loss_bbox: 1.2578 2024/10/27 15:23:52 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:23:53 - mmengine - INFO - Epoch(train) [115][ 850/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:13:42 time: 0.2293 data_time: 0.0264 memory: 2049 grad_norm: 5.9588 loss: 3.5059 loss_cls: 2.2669 loss_bbox: 1.2390 2024/10/27 15:24:05 - mmengine - INFO - Epoch(train) [115][ 900/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:13:29 time: 0.2428 data_time: 0.0271 memory: 2049 grad_norm: 5.6831 loss: 3.5631 loss_cls: 2.2701 loss_bbox: 1.2929 2024/10/27 15:24:18 - mmengine - INFO - Epoch(train) [115][ 950/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:13:17 time: 0.2467 data_time: 0.0263 memory: 2049 grad_norm: 5.9838 loss: 3.4892 loss_cls: 2.2243 loss_bbox: 1.2649 2024/10/27 15:24:29 - mmengine - INFO - Epoch(train) [115][1000/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:13:04 time: 0.2298 data_time: 0.0267 memory: 2049 grad_norm: 5.9835 loss: 3.5125 loss_cls: 2.2516 loss_bbox: 1.2609 2024/10/27 15:24:41 - mmengine - INFO - Epoch(train) [115][1050/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:12:51 time: 0.2415 data_time: 0.0260 memory: 2049 grad_norm: 5.6760 loss: 3.5395 loss_cls: 2.2679 loss_bbox: 1.2716 2024/10/27 15:24:53 - mmengine - INFO - Epoch(train) [115][1100/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:12:39 time: 0.2299 data_time: 0.0247 memory: 2049 grad_norm: 6.2646 loss: 3.5559 loss_cls: 2.2603 loss_bbox: 1.2956 2024/10/27 15:25:05 - mmengine - INFO - Epoch(train) [115][1150/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:12:26 time: 0.2468 data_time: 0.0242 memory: 2049 grad_norm: 6.0400 loss: 3.5218 loss_cls: 2.2459 loss_bbox: 1.2758 2024/10/27 15:25:18 - mmengine - INFO - Epoch(train) [115][1200/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:12:13 time: 0.2630 data_time: 0.0375 memory: 2049 grad_norm: 6.0974 loss: 3.5077 loss_cls: 2.2451 loss_bbox: 1.2625 2024/10/27 15:25:30 - mmengine - INFO - Epoch(train) [115][1250/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:12:01 time: 0.2371 data_time: 0.0256 memory: 2049 grad_norm: 5.6651 loss: 3.5692 loss_cls: 2.3162 loss_bbox: 1.2530 2024/10/27 15:25:43 - mmengine - INFO - Epoch(train) [115][1300/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:11:48 time: 0.2495 data_time: 0.0250 memory: 2049 grad_norm: 6.3466 loss: 3.5206 loss_cls: 2.2686 loss_bbox: 1.2520 2024/10/27 15:25:55 - mmengine - INFO - Epoch(train) [115][1350/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:11:35 time: 0.2424 data_time: 0.0247 memory: 2049 grad_norm: 6.3927 loss: 3.5523 loss_cls: 2.2563 loss_bbox: 1.2960 2024/10/27 15:26:07 - mmengine - INFO - Epoch(train) [115][1400/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:11:23 time: 0.2488 data_time: 0.0238 memory: 2049 grad_norm: 6.0002 loss: 3.4923 loss_cls: 2.2703 loss_bbox: 1.2220 2024/10/27 15:26:20 - mmengine - INFO - Epoch(train) [115][1450/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:11:10 time: 0.2505 data_time: 0.0269 memory: 2049 grad_norm: 5.6619 loss: 3.5740 loss_cls: 2.3078 loss_bbox: 1.2663 2024/10/27 15:26:32 - mmengine - INFO - Epoch(train) [115][1500/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:10:57 time: 0.2385 data_time: 0.0245 memory: 2049 grad_norm: 5.3850 loss: 3.5429 loss_cls: 2.2503 loss_bbox: 1.2926 2024/10/27 15:26:44 - mmengine - INFO - Epoch(train) [115][1550/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:10:45 time: 0.2428 data_time: 0.0263 memory: 2049 grad_norm: 6.1887 loss: 3.4630 loss_cls: 2.2471 loss_bbox: 1.2159 2024/10/27 15:26:56 - mmengine - INFO - Epoch(train) [115][1600/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:10:32 time: 0.2430 data_time: 0.0314 memory: 2049 grad_norm: 5.9683 loss: 3.5462 loss_cls: 2.2786 loss_bbox: 1.2676 2024/10/27 15:27:08 - mmengine - INFO - Epoch(train) [115][1650/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:10:19 time: 0.2377 data_time: 0.0275 memory: 2049 grad_norm: 6.1726 loss: 3.5556 loss_cls: 2.2981 loss_bbox: 1.2575 2024/10/27 15:27:20 - mmengine - INFO - Epoch(train) [115][1700/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:10:07 time: 0.2435 data_time: 0.0250 memory: 2049 grad_norm: 6.0466 loss: 3.5810 loss_cls: 2.2643 loss_bbox: 1.3167 2024/10/27 15:27:32 - mmengine - INFO - Epoch(train) [115][1750/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:09:54 time: 0.2443 data_time: 0.0243 memory: 2049 grad_norm: 6.1190 loss: 3.4669 loss_cls: 2.2195 loss_bbox: 1.2474 2024/10/27 15:27:44 - mmengine - INFO - Epoch(train) [115][1800/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:09:41 time: 0.2446 data_time: 0.0295 memory: 2049 grad_norm: 5.8139 loss: 3.4818 loss_cls: 2.2521 loss_bbox: 1.2297 2024/10/27 15:27:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:27:57 - mmengine - INFO - Epoch(train) [115][1850/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:09:29 time: 0.2440 data_time: 0.0264 memory: 2049 grad_norm: 5.9304 loss: 3.5092 loss_cls: 2.2329 loss_bbox: 1.2763 2024/10/27 15:28:09 - mmengine - INFO - Epoch(train) [115][1900/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:09:16 time: 0.2424 data_time: 0.0261 memory: 2049 grad_norm: 6.0832 loss: 3.5404 loss_cls: 2.2628 loss_bbox: 1.2776 2024/10/27 15:28:21 - mmengine - INFO - Epoch(train) [115][1950/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:09:03 time: 0.2399 data_time: 0.0258 memory: 2049 grad_norm: 6.1172 loss: 3.4869 loss_cls: 2.2491 loss_bbox: 1.2378 2024/10/27 15:28:33 - mmengine - INFO - Epoch(train) [115][2000/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:08:50 time: 0.2476 data_time: 0.0252 memory: 2049 grad_norm: 5.8530 loss: 3.4768 loss_cls: 2.2347 loss_bbox: 1.2421 2024/10/27 15:28:45 - mmengine - INFO - Epoch(train) [115][2050/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:08:38 time: 0.2445 data_time: 0.0296 memory: 2049 grad_norm: 5.9560 loss: 3.4699 loss_cls: 2.2424 loss_bbox: 1.2275 2024/10/27 15:28:58 - mmengine - INFO - Epoch(train) [115][2100/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:08:25 time: 0.2445 data_time: 0.0251 memory: 2049 grad_norm: 5.8380 loss: 3.5067 loss_cls: 2.2454 loss_bbox: 1.2613 2024/10/27 15:29:10 - mmengine - INFO - Epoch(train) [115][2150/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:08:12 time: 0.2487 data_time: 0.0291 memory: 2049 grad_norm: 5.9622 loss: 3.4908 loss_cls: 2.2700 loss_bbox: 1.2209 2024/10/27 15:29:22 - mmengine - INFO - Epoch(train) [115][2200/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:08:00 time: 0.2413 data_time: 0.0280 memory: 2049 grad_norm: 5.7853 loss: 3.5044 loss_cls: 2.2495 loss_bbox: 1.2549 2024/10/27 15:29:34 - mmengine - INFO - Epoch(train) [115][2250/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:07:47 time: 0.2398 data_time: 0.0253 memory: 2049 grad_norm: 6.0315 loss: 3.5138 loss_cls: 2.2484 loss_bbox: 1.2654 2024/10/27 15:29:47 - mmengine - INFO - Epoch(train) [115][2300/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:07:34 time: 0.2484 data_time: 0.0252 memory: 2049 grad_norm: 5.8811 loss: 3.5106 loss_cls: 2.2241 loss_bbox: 1.2865 2024/10/27 15:29:59 - mmengine - INFO - Epoch(train) [115][2350/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:07:22 time: 0.2406 data_time: 0.0258 memory: 2049 grad_norm: 6.2627 loss: 3.4721 loss_cls: 2.2382 loss_bbox: 1.2338 2024/10/27 15:30:11 - mmengine - INFO - Epoch(train) [115][2400/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:07:09 time: 0.2418 data_time: 0.0299 memory: 2049 grad_norm: 6.4003 loss: 3.6065 loss_cls: 2.2966 loss_bbox: 1.3099 2024/10/27 15:30:23 - mmengine - INFO - Epoch(train) [115][2450/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:06:56 time: 0.2376 data_time: 0.0271 memory: 2049 grad_norm: 6.0457 loss: 3.5314 loss_cls: 2.2628 loss_bbox: 1.2686 2024/10/27 15:30:35 - mmengine - INFO - Epoch(train) [115][2500/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:06:44 time: 0.2457 data_time: 0.0263 memory: 2049 grad_norm: 6.1871 loss: 3.4750 loss_cls: 2.2690 loss_bbox: 1.2060 2024/10/27 15:30:47 - mmengine - INFO - Epoch(train) [115][2550/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:06:31 time: 0.2450 data_time: 0.0251 memory: 2049 grad_norm: 5.6620 loss: 3.4922 loss_cls: 2.2515 loss_bbox: 1.2407 2024/10/27 15:30:59 - mmengine - INFO - Epoch(train) [115][2600/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:06:18 time: 0.2440 data_time: 0.0251 memory: 2049 grad_norm: 6.0562 loss: 3.4656 loss_cls: 2.2341 loss_bbox: 1.2315 2024/10/27 15:31:12 - mmengine - INFO - Epoch(train) [115][2650/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:06:06 time: 0.2508 data_time: 0.0249 memory: 2049 grad_norm: 6.0277 loss: 3.5602 loss_cls: 2.2570 loss_bbox: 1.3031 2024/10/27 15:31:24 - mmengine - INFO - Epoch(train) [115][2700/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:05:53 time: 0.2395 data_time: 0.0249 memory: 2049 grad_norm: 6.1049 loss: 3.5659 loss_cls: 2.2799 loss_bbox: 1.2860 2024/10/27 15:31:37 - mmengine - INFO - Epoch(train) [115][2750/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:05:40 time: 0.2619 data_time: 0.0280 memory: 2049 grad_norm: 5.9457 loss: 3.4579 loss_cls: 2.2475 loss_bbox: 1.2105 2024/10/27 15:31:49 - mmengine - INFO - Epoch(train) [115][2800/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:05:28 time: 0.2423 data_time: 0.0261 memory: 2049 grad_norm: 6.2256 loss: 3.5386 loss_cls: 2.2580 loss_bbox: 1.2806 2024/10/27 15:32:00 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:32:02 - mmengine - INFO - Epoch(train) [115][2850/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:05:15 time: 0.2445 data_time: 0.0265 memory: 2049 grad_norm: 5.7132 loss: 3.5201 loss_cls: 2.2538 loss_bbox: 1.2663 2024/10/27 15:32:17 - mmengine - INFO - Epoch(train) [115][2900/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:05:03 time: 0.3178 data_time: 0.0949 memory: 2049 grad_norm: 6.4313 loss: 3.5490 loss_cls: 2.2802 loss_bbox: 1.2688 2024/10/27 15:32:29 - mmengine - INFO - Epoch(train) [115][2950/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:04:50 time: 0.2410 data_time: 0.0252 memory: 2049 grad_norm: 6.0201 loss: 3.5634 loss_cls: 2.2734 loss_bbox: 1.2900 2024/10/27 15:32:42 - mmengine - INFO - Epoch(train) [115][3000/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:04:37 time: 0.2517 data_time: 0.0300 memory: 2049 grad_norm: 5.8722 loss: 3.4926 loss_cls: 2.2644 loss_bbox: 1.2282 2024/10/27 15:32:54 - mmengine - INFO - Epoch(train) [115][3050/3054] base_lr: 5.8732e-05 lr: 5.8732e-05 eta: 1:04:25 time: 0.2415 data_time: 0.0256 memory: 2049 grad_norm: 5.7154 loss: 3.5384 loss_cls: 2.2659 loss_bbox: 1.2724 2024/10/27 15:32:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:32:55 - mmengine - INFO - Saving checkpoint at 115 epochs 2024/10/27 15:33:00 - mmengine - INFO - Epoch(val) [115][50/79] eta: 0:00:01 time: 0.0398 data_time: 0.0047 memory: 2049 2024/10/27 15:33:14 - mmengine - INFO - Evaluating bbox... 2024/10/27 15:34:07 - mmengine - INFO - bbox_mAP_copypaste: 0.238 0.394 0.239 0.029 0.232 0.469 2024/10/27 15:34:08 - mmengine - INFO - Epoch(val) [115][79/79] coco/bbox_mAP: 0.2380 coco/bbox_mAP_50: 0.3940 coco/bbox_mAP_75: 0.2390 coco/bbox_mAP_s: 0.0290 coco/bbox_mAP_m: 0.2320 coco/bbox_mAP_l: 0.4690 data_time: 0.0043 time: 0.0390 2024/10/27 15:34:20 - mmengine - INFO - Epoch(train) [116][ 50/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:04:11 time: 0.2423 data_time: 0.0394 memory: 2049 grad_norm: 5.8453 loss: 3.4559 loss_cls: 2.2219 loss_bbox: 1.2340 2024/10/27 15:34:32 - mmengine - INFO - Epoch(train) [116][ 100/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:03:58 time: 0.2282 data_time: 0.0285 memory: 2049 grad_norm: 5.8413 loss: 3.5107 loss_cls: 2.2258 loss_bbox: 1.2849 2024/10/27 15:34:43 - mmengine - INFO - Epoch(train) [116][ 150/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:03:45 time: 0.2287 data_time: 0.0253 memory: 2049 grad_norm: 6.1648 loss: 3.6480 loss_cls: 2.3379 loss_bbox: 1.3101 2024/10/27 15:34:55 - mmengine - INFO - Epoch(train) [116][ 200/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:03:33 time: 0.2343 data_time: 0.0250 memory: 2049 grad_norm: 5.7826 loss: 3.5073 loss_cls: 2.2332 loss_bbox: 1.2741 2024/10/27 15:35:06 - mmengine - INFO - Epoch(train) [116][ 250/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:03:20 time: 0.2260 data_time: 0.0276 memory: 2049 grad_norm: 6.0106 loss: 3.5415 loss_cls: 2.2595 loss_bbox: 1.2820 2024/10/27 15:35:18 - mmengine - INFO - Epoch(train) [116][ 300/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:03:07 time: 0.2394 data_time: 0.0294 memory: 2049 grad_norm: 5.6876 loss: 3.5076 loss_cls: 2.2692 loss_bbox: 1.2384 2024/10/27 15:35:30 - mmengine - INFO - Epoch(train) [116][ 350/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:02:55 time: 0.2430 data_time: 0.0244 memory: 2049 grad_norm: 5.8841 loss: 3.5187 loss_cls: 2.2482 loss_bbox: 1.2705 2024/10/27 15:35:42 - mmengine - INFO - Epoch(train) [116][ 400/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:02:42 time: 0.2357 data_time: 0.0271 memory: 2049 grad_norm: 5.6716 loss: 3.5800 loss_cls: 2.2976 loss_bbox: 1.2824 2024/10/27 15:35:54 - mmengine - INFO - Epoch(train) [116][ 450/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:02:29 time: 0.2492 data_time: 0.0238 memory: 2049 grad_norm: 5.8676 loss: 3.5110 loss_cls: 2.2627 loss_bbox: 1.2484 2024/10/27 15:36:07 - mmengine - INFO - Epoch(train) [116][ 500/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:02:17 time: 0.2441 data_time: 0.0327 memory: 2049 grad_norm: 5.8279 loss: 3.4809 loss_cls: 2.2233 loss_bbox: 1.2576 2024/10/27 15:36:19 - mmengine - INFO - Epoch(train) [116][ 550/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:02:04 time: 0.2377 data_time: 0.0249 memory: 2049 grad_norm: 6.1523 loss: 3.4962 loss_cls: 2.2532 loss_bbox: 1.2431 2024/10/27 15:36:31 - mmengine - INFO - Epoch(train) [116][ 600/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:01:51 time: 0.2476 data_time: 0.0238 memory: 2049 grad_norm: 5.8583 loss: 3.5835 loss_cls: 2.2885 loss_bbox: 1.2950 2024/10/27 15:36:43 - mmengine - INFO - Epoch(train) [116][ 650/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:01:39 time: 0.2446 data_time: 0.0243 memory: 2049 grad_norm: 5.7183 loss: 3.4711 loss_cls: 2.2265 loss_bbox: 1.2446 2024/10/27 15:36:56 - mmengine - INFO - Epoch(train) [116][ 700/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:01:26 time: 0.2573 data_time: 0.0295 memory: 2049 grad_norm: 5.8110 loss: 3.4867 loss_cls: 2.2352 loss_bbox: 1.2514 2024/10/27 15:37:08 - mmengine - INFO - Epoch(train) [116][ 750/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:01:13 time: 0.2370 data_time: 0.0247 memory: 2049 grad_norm: 6.1511 loss: 3.5684 loss_cls: 2.2772 loss_bbox: 1.2912 2024/10/27 15:37:17 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:37:20 - mmengine - INFO - Epoch(train) [116][ 800/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:01:01 time: 0.2384 data_time: 0.0244 memory: 2049 grad_norm: 5.8924 loss: 3.5731 loss_cls: 2.2784 loss_bbox: 1.2946 2024/10/27 15:37:33 - mmengine - INFO - Epoch(train) [116][ 850/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:00:48 time: 0.2541 data_time: 0.0296 memory: 2049 grad_norm: 6.2774 loss: 3.4944 loss_cls: 2.2304 loss_bbox: 1.2641 2024/10/27 15:37:44 - mmengine - INFO - Epoch(train) [116][ 900/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:00:35 time: 0.2359 data_time: 0.0244 memory: 2049 grad_norm: 5.8320 loss: 3.5990 loss_cls: 2.3070 loss_bbox: 1.2920 2024/10/27 15:37:57 - mmengine - INFO - Epoch(train) [116][ 950/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:00:23 time: 0.2554 data_time: 0.0269 memory: 2049 grad_norm: 5.9578 loss: 3.4547 loss_cls: 2.2303 loss_bbox: 1.2244 2024/10/27 15:38:09 - mmengine - INFO - Epoch(train) [116][1000/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 1:00:10 time: 0.2455 data_time: 0.0357 memory: 2049 grad_norm: 6.1143 loss: 3.4444 loss_cls: 2.2410 loss_bbox: 1.2034 2024/10/27 15:38:22 - mmengine - INFO - Epoch(train) [116][1050/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:59:57 time: 0.2413 data_time: 0.0242 memory: 2049 grad_norm: 6.1923 loss: 3.5695 loss_cls: 2.2771 loss_bbox: 1.2924 2024/10/27 15:38:35 - mmengine - INFO - Epoch(train) [116][1100/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:59:45 time: 0.2620 data_time: 0.0303 memory: 2049 grad_norm: 5.8667 loss: 3.5243 loss_cls: 2.2904 loss_bbox: 1.2339 2024/10/27 15:38:47 - mmengine - INFO - Epoch(train) [116][1150/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:59:32 time: 0.2442 data_time: 0.0241 memory: 2049 grad_norm: 5.6569 loss: 3.5076 loss_cls: 2.2752 loss_bbox: 1.2324 2024/10/27 15:39:00 - mmengine - INFO - Epoch(train) [116][1200/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:59:19 time: 0.2566 data_time: 0.0235 memory: 2049 grad_norm: 5.8246 loss: 3.4308 loss_cls: 2.2002 loss_bbox: 1.2307 2024/10/27 15:39:12 - mmengine - INFO - Epoch(train) [116][1250/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:59:07 time: 0.2524 data_time: 0.0243 memory: 2049 grad_norm: 6.0233 loss: 3.5052 loss_cls: 2.2490 loss_bbox: 1.2562 2024/10/27 15:39:24 - mmengine - INFO - Epoch(train) [116][1300/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:58:54 time: 0.2402 data_time: 0.0259 memory: 2049 grad_norm: 6.4075 loss: 3.5299 loss_cls: 2.2508 loss_bbox: 1.2791 2024/10/27 15:39:37 - mmengine - INFO - Epoch(train) [116][1350/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:58:41 time: 0.2568 data_time: 0.0293 memory: 2049 grad_norm: 5.6183 loss: 3.4823 loss_cls: 2.2589 loss_bbox: 1.2235 2024/10/27 15:39:49 - mmengine - INFO - Epoch(train) [116][1400/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:58:29 time: 0.2404 data_time: 0.0242 memory: 2049 grad_norm: 5.7992 loss: 3.4532 loss_cls: 2.2345 loss_bbox: 1.2187 2024/10/27 15:40:02 - mmengine - INFO - Epoch(train) [116][1450/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:58:16 time: 0.2495 data_time: 0.0247 memory: 2049 grad_norm: 5.9818 loss: 3.6114 loss_cls: 2.3027 loss_bbox: 1.3087 2024/10/27 15:40:17 - mmengine - INFO - Epoch(train) [116][1500/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:58:03 time: 0.2969 data_time: 0.0792 memory: 2049 grad_norm: 6.0195 loss: 3.4708 loss_cls: 2.2636 loss_bbox: 1.2072 2024/10/27 15:40:29 - mmengine - INFO - Epoch(train) [116][1550/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:57:51 time: 0.2392 data_time: 0.0258 memory: 2049 grad_norm: 5.9851 loss: 3.5742 loss_cls: 2.2560 loss_bbox: 1.3182 2024/10/27 15:40:41 - mmengine - INFO - Epoch(train) [116][1600/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:57:38 time: 0.2469 data_time: 0.0254 memory: 2049 grad_norm: 5.8674 loss: 3.5934 loss_cls: 2.2910 loss_bbox: 1.3024 2024/10/27 15:40:53 - mmengine - INFO - Epoch(train) [116][1650/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:57:25 time: 0.2409 data_time: 0.0265 memory: 2049 grad_norm: 5.8744 loss: 3.5098 loss_cls: 2.2720 loss_bbox: 1.2379 2024/10/27 15:41:06 - mmengine - INFO - Epoch(train) [116][1700/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:57:13 time: 0.2550 data_time: 0.0232 memory: 2049 grad_norm: 5.9805 loss: 3.5879 loss_cls: 2.3000 loss_bbox: 1.2879 2024/10/27 15:41:18 - mmengine - INFO - Epoch(train) [116][1750/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:57:00 time: 0.2444 data_time: 0.0284 memory: 2049 grad_norm: 5.6503 loss: 3.3577 loss_cls: 2.1668 loss_bbox: 1.1909 2024/10/27 15:41:28 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:41:30 - mmengine - INFO - Epoch(train) [116][1800/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:56:47 time: 0.2419 data_time: 0.0247 memory: 2049 grad_norm: 5.7271 loss: 3.4576 loss_cls: 2.2035 loss_bbox: 1.2540 2024/10/27 15:41:43 - mmengine - INFO - Epoch(train) [116][1850/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:56:35 time: 0.2603 data_time: 0.0297 memory: 2049 grad_norm: 6.1654 loss: 3.4980 loss_cls: 2.2585 loss_bbox: 1.2394 2024/10/27 15:41:56 - mmengine - INFO - Epoch(train) [116][1900/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:56:22 time: 0.2485 data_time: 0.0309 memory: 2049 grad_norm: 5.8288 loss: 3.5355 loss_cls: 2.2487 loss_bbox: 1.2869 2024/10/27 15:42:09 - mmengine - INFO - Epoch(train) [116][1950/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:56:09 time: 0.2622 data_time: 0.0290 memory: 2049 grad_norm: 6.1976 loss: 3.4923 loss_cls: 2.2299 loss_bbox: 1.2624 2024/10/27 15:42:20 - mmengine - INFO - Epoch(train) [116][2000/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:55:57 time: 0.2353 data_time: 0.0242 memory: 2049 grad_norm: 6.0266 loss: 3.4450 loss_cls: 2.2069 loss_bbox: 1.2380 2024/10/27 15:42:33 - mmengine - INFO - Epoch(train) [116][2050/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:55:44 time: 0.2541 data_time: 0.0239 memory: 2049 grad_norm: 5.8389 loss: 3.5169 loss_cls: 2.3140 loss_bbox: 1.2029 2024/10/27 15:42:46 - mmengine - INFO - Epoch(train) [116][2100/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:55:31 time: 0.2597 data_time: 0.0241 memory: 2049 grad_norm: 6.1061 loss: 3.5201 loss_cls: 2.2708 loss_bbox: 1.2492 2024/10/27 15:42:59 - mmengine - INFO - Epoch(train) [116][2150/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:55:19 time: 0.2502 data_time: 0.0243 memory: 2049 grad_norm: 5.7940 loss: 3.5147 loss_cls: 2.2459 loss_bbox: 1.2688 2024/10/27 15:43:12 - mmengine - INFO - Epoch(train) [116][2200/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:55:06 time: 0.2583 data_time: 0.0306 memory: 2049 grad_norm: 6.0132 loss: 3.5274 loss_cls: 2.2807 loss_bbox: 1.2467 2024/10/27 15:43:24 - mmengine - INFO - Epoch(train) [116][2250/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:54:54 time: 0.2424 data_time: 0.0247 memory: 2049 grad_norm: 6.0887 loss: 3.5448 loss_cls: 2.2631 loss_bbox: 1.2817 2024/10/27 15:43:37 - mmengine - INFO - Epoch(train) [116][2300/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:54:41 time: 0.2608 data_time: 0.0288 memory: 2049 grad_norm: 5.5609 loss: 3.4676 loss_cls: 2.2209 loss_bbox: 1.2466 2024/10/27 15:43:50 - mmengine - INFO - Epoch(train) [116][2350/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:54:28 time: 0.2569 data_time: 0.0297 memory: 2049 grad_norm: 5.9381 loss: 3.5325 loss_cls: 2.2586 loss_bbox: 1.2740 2024/10/27 15:44:03 - mmengine - INFO - Epoch(train) [116][2400/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:54:16 time: 0.2565 data_time: 0.0269 memory: 2049 grad_norm: 6.0144 loss: 3.4992 loss_cls: 2.2527 loss_bbox: 1.2465 2024/10/27 15:44:18 - mmengine - INFO - Epoch(train) [116][2450/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:54:03 time: 0.3103 data_time: 0.0713 memory: 2049 grad_norm: 6.1333 loss: 3.5843 loss_cls: 2.2945 loss_bbox: 1.2898 2024/10/27 15:44:31 - mmengine - INFO - Epoch(train) [116][2500/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:53:50 time: 0.2485 data_time: 0.0258 memory: 2049 grad_norm: 5.8385 loss: 3.6032 loss_cls: 2.2592 loss_bbox: 1.3439 2024/10/27 15:44:44 - mmengine - INFO - Epoch(train) [116][2550/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:53:38 time: 0.2669 data_time: 0.0250 memory: 2049 grad_norm: 5.7938 loss: 3.5004 loss_cls: 2.2329 loss_bbox: 1.2675 2024/10/27 15:44:57 - mmengine - INFO - Epoch(train) [116][2600/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:53:25 time: 0.2585 data_time: 0.0255 memory: 2049 grad_norm: 6.0841 loss: 3.4633 loss_cls: 2.1928 loss_bbox: 1.2705 2024/10/27 15:45:10 - mmengine - INFO - Epoch(train) [116][2650/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:53:13 time: 0.2598 data_time: 0.0258 memory: 2049 grad_norm: 6.0039 loss: 3.4895 loss_cls: 2.2525 loss_bbox: 1.2370 2024/10/27 15:45:23 - mmengine - INFO - Epoch(train) [116][2700/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:53:00 time: 0.2611 data_time: 0.0315 memory: 2049 grad_norm: 6.1661 loss: 3.5345 loss_cls: 2.2568 loss_bbox: 1.2776 2024/10/27 15:45:35 - mmengine - INFO - Epoch(train) [116][2750/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:52:47 time: 0.2444 data_time: 0.0250 memory: 2049 grad_norm: 5.8085 loss: 3.5753 loss_cls: 2.2744 loss_bbox: 1.3009 2024/10/27 15:45:46 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:45:48 - mmengine - INFO - Epoch(train) [116][2800/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:52:35 time: 0.2589 data_time: 0.0274 memory: 2049 grad_norm: 5.7631 loss: 3.5851 loss_cls: 2.2793 loss_bbox: 1.3058 2024/10/27 15:46:01 - mmengine - INFO - Epoch(train) [116][2850/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:52:22 time: 0.2521 data_time: 0.0275 memory: 2049 grad_norm: 5.9558 loss: 3.4770 loss_cls: 2.2383 loss_bbox: 1.2388 2024/10/27 15:46:13 - mmengine - INFO - Epoch(train) [116][2900/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:52:09 time: 0.2541 data_time: 0.0254 memory: 2049 grad_norm: 6.0926 loss: 3.4721 loss_cls: 2.2209 loss_bbox: 1.2512 2024/10/27 15:46:26 - mmengine - INFO - Epoch(train) [116][2950/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:51:57 time: 0.2592 data_time: 0.0260 memory: 2049 grad_norm: 5.7206 loss: 3.4985 loss_cls: 2.2471 loss_bbox: 1.2514 2024/10/27 15:46:39 - mmengine - INFO - Epoch(train) [116][3000/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:51:44 time: 0.2616 data_time: 0.0267 memory: 2049 grad_norm: 5.9414 loss: 3.4796 loss_cls: 2.2533 loss_bbox: 1.2262 2024/10/27 15:46:53 - mmengine - INFO - Epoch(train) [116][3050/3054] base_lr: 4.0889e-05 lr: 4.0889e-05 eta: 0:51:31 time: 0.2615 data_time: 0.0250 memory: 2049 grad_norm: 5.9808 loss: 3.5454 loss_cls: 2.2511 loss_bbox: 1.2943 2024/10/27 15:46:53 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:46:53 - mmengine - INFO - Saving checkpoint at 116 epochs 2024/10/27 15:47:08 - mmengine - INFO - Epoch(train) [117][ 50/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:51:18 time: 0.2416 data_time: 0.0365 memory: 2049 grad_norm: 5.9320 loss: 3.5999 loss_cls: 2.2833 loss_bbox: 1.3166 2024/10/27 15:47:20 - mmengine - INFO - Epoch(train) [117][ 100/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:51:05 time: 0.2340 data_time: 0.0266 memory: 2049 grad_norm: 6.0955 loss: 3.5003 loss_cls: 2.2705 loss_bbox: 1.2297 2024/10/27 15:47:32 - mmengine - INFO - Epoch(train) [117][ 150/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:50:52 time: 0.2354 data_time: 0.0243 memory: 2049 grad_norm: 5.8478 loss: 3.4515 loss_cls: 2.2065 loss_bbox: 1.2450 2024/10/27 15:47:44 - mmengine - INFO - Epoch(train) [117][ 200/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:50:40 time: 0.2407 data_time: 0.0254 memory: 2049 grad_norm: 5.8513 loss: 3.3983 loss_cls: 2.1924 loss_bbox: 1.2059 2024/10/27 15:47:56 - mmengine - INFO - Epoch(train) [117][ 250/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:50:27 time: 0.2404 data_time: 0.0255 memory: 2049 grad_norm: 5.7909 loss: 3.4851 loss_cls: 2.2417 loss_bbox: 1.2434 2024/10/27 15:48:08 - mmengine - INFO - Epoch(train) [117][ 300/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:50:14 time: 0.2378 data_time: 0.0250 memory: 2049 grad_norm: 5.5203 loss: 3.4664 loss_cls: 2.2250 loss_bbox: 1.2414 2024/10/27 15:48:20 - mmengine - INFO - Epoch(train) [117][ 350/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:50:02 time: 0.2433 data_time: 0.0256 memory: 2049 grad_norm: 5.8343 loss: 3.3916 loss_cls: 2.1854 loss_bbox: 1.2062 2024/10/27 15:48:32 - mmengine - INFO - Epoch(train) [117][ 400/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:49:49 time: 0.2446 data_time: 0.0264 memory: 2049 grad_norm: 5.6188 loss: 3.4616 loss_cls: 2.2142 loss_bbox: 1.2474 2024/10/27 15:48:44 - mmengine - INFO - Epoch(train) [117][ 450/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:49:36 time: 0.2445 data_time: 0.0242 memory: 2049 grad_norm: 5.6767 loss: 3.5476 loss_cls: 2.2789 loss_bbox: 1.2688 2024/10/27 15:48:57 - mmengine - INFO - Epoch(train) [117][ 500/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:49:24 time: 0.2427 data_time: 0.0242 memory: 2049 grad_norm: 6.0806 loss: 3.4884 loss_cls: 2.2320 loss_bbox: 1.2563 2024/10/27 15:49:09 - mmengine - INFO - Epoch(train) [117][ 550/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:49:11 time: 0.2434 data_time: 0.0245 memory: 2049 grad_norm: 5.7845 loss: 3.4373 loss_cls: 2.2087 loss_bbox: 1.2286 2024/10/27 15:49:22 - mmengine - INFO - Epoch(train) [117][ 600/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:48:58 time: 0.2540 data_time: 0.0241 memory: 2049 grad_norm: 5.9945 loss: 3.4385 loss_cls: 2.2246 loss_bbox: 1.2139 2024/10/27 15:49:34 - mmengine - INFO - Epoch(train) [117][ 650/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:48:46 time: 0.2442 data_time: 0.0307 memory: 2049 grad_norm: 5.9562 loss: 3.4780 loss_cls: 2.2394 loss_bbox: 1.2386 2024/10/27 15:49:46 - mmengine - INFO - Epoch(train) [117][ 700/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:48:33 time: 0.2472 data_time: 0.0263 memory: 2049 grad_norm: 5.9652 loss: 3.4930 loss_cls: 2.2229 loss_bbox: 1.2701 2024/10/27 15:49:55 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:49:58 - mmengine - INFO - Epoch(train) [117][ 750/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:48:20 time: 0.2408 data_time: 0.0247 memory: 2049 grad_norm: 5.7509 loss: 3.4628 loss_cls: 2.2205 loss_bbox: 1.2423 2024/10/27 15:50:10 - mmengine - INFO - Epoch(train) [117][ 800/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:48:08 time: 0.2462 data_time: 0.0254 memory: 2049 grad_norm: 5.4385 loss: 3.4670 loss_cls: 2.2051 loss_bbox: 1.2619 2024/10/27 15:50:23 - mmengine - INFO - Epoch(train) [117][ 850/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:47:55 time: 0.2578 data_time: 0.0276 memory: 2049 grad_norm: 5.9622 loss: 3.4569 loss_cls: 2.2361 loss_bbox: 1.2207 2024/10/27 15:50:35 - mmengine - INFO - Epoch(train) [117][ 900/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:47:42 time: 0.2413 data_time: 0.0241 memory: 2049 grad_norm: 5.5586 loss: 3.4163 loss_cls: 2.1893 loss_bbox: 1.2270 2024/10/27 15:50:48 - mmengine - INFO - Epoch(train) [117][ 950/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:47:30 time: 0.2451 data_time: 0.0245 memory: 2049 grad_norm: 6.3294 loss: 3.4633 loss_cls: 2.2187 loss_bbox: 1.2446 2024/10/27 15:51:01 - mmengine - INFO - Epoch(train) [117][1000/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:47:17 time: 0.2584 data_time: 0.0266 memory: 2049 grad_norm: 5.7519 loss: 3.4731 loss_cls: 2.2115 loss_bbox: 1.2616 2024/10/27 15:51:13 - mmengine - INFO - Epoch(train) [117][1050/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:47:04 time: 0.2550 data_time: 0.0247 memory: 2049 grad_norm: 6.0002 loss: 3.6000 loss_cls: 2.2683 loss_bbox: 1.3317 2024/10/27 15:51:27 - mmengine - INFO - Epoch(train) [117][1100/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:46:52 time: 0.2731 data_time: 0.0293 memory: 2049 grad_norm: 6.2455 loss: 3.4444 loss_cls: 2.2192 loss_bbox: 1.2252 2024/10/27 15:51:40 - mmengine - INFO - Epoch(train) [117][1150/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:46:39 time: 0.2504 data_time: 0.0285 memory: 2049 grad_norm: 5.9956 loss: 3.5055 loss_cls: 2.2384 loss_bbox: 1.2671 2024/10/27 15:51:53 - mmengine - INFO - Epoch(train) [117][1200/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:46:26 time: 0.2632 data_time: 0.0327 memory: 2049 grad_norm: 6.2889 loss: 3.2829 loss_cls: 2.1376 loss_bbox: 1.1453 2024/10/27 15:52:06 - mmengine - INFO - Epoch(train) [117][1250/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:46:14 time: 0.2592 data_time: 0.0252 memory: 2049 grad_norm: 5.7564 loss: 3.4634 loss_cls: 2.2081 loss_bbox: 1.2553 2024/10/27 15:52:19 - mmengine - INFO - Epoch(train) [117][1300/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:46:01 time: 0.2619 data_time: 0.0286 memory: 2049 grad_norm: 5.6636 loss: 3.4597 loss_cls: 2.2399 loss_bbox: 1.2198 2024/10/27 15:52:32 - mmengine - INFO - Epoch(train) [117][1350/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:45:49 time: 0.2587 data_time: 0.0277 memory: 2049 grad_norm: 5.4987 loss: 3.5746 loss_cls: 2.2837 loss_bbox: 1.2909 2024/10/27 15:52:44 - mmengine - INFO - Epoch(train) [117][1400/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:45:36 time: 0.2492 data_time: 0.0252 memory: 2049 grad_norm: 6.0487 loss: 3.5452 loss_cls: 2.2814 loss_bbox: 1.2637 2024/10/27 15:52:57 - mmengine - INFO - Epoch(train) [117][1450/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:45:23 time: 0.2585 data_time: 0.0253 memory: 2049 grad_norm: 5.9417 loss: 3.4480 loss_cls: 2.2221 loss_bbox: 1.2260 2024/10/27 15:53:10 - mmengine - INFO - Epoch(train) [117][1500/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:45:11 time: 0.2503 data_time: 0.0265 memory: 2049 grad_norm: 5.8468 loss: 3.5348 loss_cls: 2.2760 loss_bbox: 1.2588 2024/10/27 15:53:22 - mmengine - INFO - Epoch(train) [117][1550/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:44:58 time: 0.2541 data_time: 0.0289 memory: 2049 grad_norm: 5.8820 loss: 3.6589 loss_cls: 2.3266 loss_bbox: 1.3323 2024/10/27 15:53:35 - mmengine - INFO - Epoch(train) [117][1600/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:44:45 time: 0.2530 data_time: 0.0268 memory: 2049 grad_norm: 5.7616 loss: 3.4568 loss_cls: 2.2370 loss_bbox: 1.2198 2024/10/27 15:53:47 - mmengine - INFO - Epoch(train) [117][1650/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:44:33 time: 0.2424 data_time: 0.0296 memory: 2049 grad_norm: 5.8442 loss: 3.3788 loss_cls: 2.1617 loss_bbox: 1.2171 2024/10/27 15:54:01 - mmengine - INFO - Epoch(train) [117][1700/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:44:20 time: 0.2659 data_time: 0.0281 memory: 2049 grad_norm: 5.7740 loss: 3.4761 loss_cls: 2.2289 loss_bbox: 1.2473 2024/10/27 15:54:10 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:54:13 - mmengine - INFO - Epoch(train) [117][1750/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:44:07 time: 0.2541 data_time: 0.0239 memory: 2049 grad_norm: 5.9533 loss: 3.5278 loss_cls: 2.2439 loss_bbox: 1.2839 2024/10/27 15:54:26 - mmengine - INFO - Epoch(train) [117][1800/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:43:55 time: 0.2515 data_time: 0.0229 memory: 2049 grad_norm: 6.2010 loss: 3.4682 loss_cls: 2.2227 loss_bbox: 1.2455 2024/10/27 15:54:38 - mmengine - INFO - Epoch(train) [117][1850/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:43:42 time: 0.2468 data_time: 0.0239 memory: 2049 grad_norm: 6.2045 loss: 3.4951 loss_cls: 2.2403 loss_bbox: 1.2547 2024/10/27 15:54:50 - mmengine - INFO - Epoch(train) [117][1900/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:43:29 time: 0.2427 data_time: 0.0260 memory: 2049 grad_norm: 5.9441 loss: 3.3866 loss_cls: 2.1813 loss_bbox: 1.2053 2024/10/27 15:55:03 - mmengine - INFO - Epoch(train) [117][1950/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:43:17 time: 0.2588 data_time: 0.0264 memory: 2049 grad_norm: 6.0947 loss: 3.5044 loss_cls: 2.2365 loss_bbox: 1.2679 2024/10/27 15:55:18 - mmengine - INFO - Epoch(train) [117][2000/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:43:04 time: 0.2852 data_time: 0.0633 memory: 2049 grad_norm: 5.8657 loss: 3.3811 loss_cls: 2.1876 loss_bbox: 1.1935 2024/10/27 15:55:30 - mmengine - INFO - Epoch(train) [117][2050/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:42:51 time: 0.2443 data_time: 0.0263 memory: 2049 grad_norm: 5.8298 loss: 3.5419 loss_cls: 2.2644 loss_bbox: 1.2775 2024/10/27 15:55:42 - mmengine - INFO - Epoch(train) [117][2100/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:42:39 time: 0.2518 data_time: 0.0236 memory: 2049 grad_norm: 5.8256 loss: 3.5129 loss_cls: 2.2310 loss_bbox: 1.2819 2024/10/27 15:55:55 - mmengine - INFO - Epoch(train) [117][2150/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:42:26 time: 0.2422 data_time: 0.0235 memory: 2049 grad_norm: 5.9601 loss: 3.5214 loss_cls: 2.2559 loss_bbox: 1.2655 2024/10/27 15:56:09 - mmengine - INFO - Epoch(train) [117][2200/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:42:14 time: 0.2899 data_time: 0.0303 memory: 2049 grad_norm: 5.9893 loss: 3.5844 loss_cls: 2.2846 loss_bbox: 1.2998 2024/10/27 15:56:21 - mmengine - INFO - Epoch(train) [117][2250/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:42:01 time: 0.2462 data_time: 0.0232 memory: 2049 grad_norm: 6.0003 loss: 3.5203 loss_cls: 2.2226 loss_bbox: 1.2977 2024/10/27 15:56:35 - mmengine - INFO - Epoch(train) [117][2300/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:41:48 time: 0.2732 data_time: 0.0231 memory: 2049 grad_norm: 5.9265 loss: 3.4116 loss_cls: 2.1928 loss_bbox: 1.2188 2024/10/27 15:56:48 - mmengine - INFO - Epoch(train) [117][2350/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:41:36 time: 0.2628 data_time: 0.0230 memory: 2049 grad_norm: 5.7997 loss: 3.5900 loss_cls: 2.2817 loss_bbox: 1.3083 2024/10/27 15:57:01 - mmengine - INFO - Epoch(train) [117][2400/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:41:23 time: 0.2625 data_time: 0.0223 memory: 2049 grad_norm: 6.2467 loss: 3.6176 loss_cls: 2.3072 loss_bbox: 1.3104 2024/10/27 15:57:18 - mmengine - INFO - Epoch(train) [117][2450/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:41:11 time: 0.3394 data_time: 0.0976 memory: 2049 grad_norm: 6.4976 loss: 3.5101 loss_cls: 2.2470 loss_bbox: 1.2630 2024/10/27 15:57:32 - mmengine - INFO - Epoch(train) [117][2500/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:40:58 time: 0.2635 data_time: 0.0306 memory: 2049 grad_norm: 5.9555 loss: 3.4465 loss_cls: 2.2106 loss_bbox: 1.2358 2024/10/27 15:57:45 - mmengine - INFO - Epoch(train) [117][2550/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:40:45 time: 0.2659 data_time: 0.0276 memory: 2049 grad_norm: 6.5017 loss: 3.4270 loss_cls: 2.1998 loss_bbox: 1.2272 2024/10/27 15:57:58 - mmengine - INFO - Epoch(train) [117][2600/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:40:33 time: 0.2670 data_time: 0.0285 memory: 2049 grad_norm: 5.9673 loss: 3.4928 loss_cls: 2.2431 loss_bbox: 1.2496 2024/10/27 15:58:11 - mmengine - INFO - Epoch(train) [117][2650/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:40:20 time: 0.2544 data_time: 0.0228 memory: 2049 grad_norm: 5.8999 loss: 3.4750 loss_cls: 2.2548 loss_bbox: 1.2202 2024/10/27 15:58:25 - mmengine - INFO - Epoch(train) [117][2700/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:40:07 time: 0.2720 data_time: 0.0279 memory: 2049 grad_norm: 5.9715 loss: 3.4518 loss_cls: 2.2194 loss_bbox: 1.2324 2024/10/27 15:58:33 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:58:37 - mmengine - INFO - Epoch(train) [117][2750/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:39:55 time: 0.2492 data_time: 0.0279 memory: 2049 grad_norm: 5.9248 loss: 3.4939 loss_cls: 2.2443 loss_bbox: 1.2496 2024/10/27 15:58:50 - mmengine - INFO - Epoch(train) [117][2800/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:39:42 time: 0.2560 data_time: 0.0257 memory: 2049 grad_norm: 5.8600 loss: 3.4720 loss_cls: 2.2476 loss_bbox: 1.2244 2024/10/27 15:59:03 - mmengine - INFO - Epoch(train) [117][2850/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:39:29 time: 0.2574 data_time: 0.0271 memory: 2049 grad_norm: 6.0374 loss: 3.5266 loss_cls: 2.2632 loss_bbox: 1.2633 2024/10/27 15:59:18 - mmengine - INFO - Epoch(train) [117][2900/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:39:17 time: 0.3144 data_time: 0.0805 memory: 2049 grad_norm: 5.8979 loss: 3.5839 loss_cls: 2.3015 loss_bbox: 1.2823 2024/10/27 15:59:31 - mmengine - INFO - Epoch(train) [117][2950/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:39:04 time: 0.2540 data_time: 0.0224 memory: 2049 grad_norm: 5.9846 loss: 3.4953 loss_cls: 2.2371 loss_bbox: 1.2583 2024/10/27 15:59:43 - mmengine - INFO - Epoch(train) [117][3000/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:38:52 time: 0.2432 data_time: 0.0291 memory: 2049 grad_norm: 6.2574 loss: 3.4992 loss_cls: 2.2550 loss_bbox: 1.2442 2024/10/27 15:59:56 - mmengine - INFO - Epoch(train) [117][3050/3054] base_lr: 2.6223e-05 lr: 2.6223e-05 eta: 0:38:39 time: 0.2466 data_time: 0.0255 memory: 2049 grad_norm: 5.4835 loss: 3.5958 loss_cls: 2.2845 loss_bbox: 1.3114 2024/10/27 15:59:57 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 15:59:57 - mmengine - INFO - Saving checkpoint at 117 epochs 2024/10/27 16:00:11 - mmengine - INFO - Epoch(train) [118][ 50/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:38:25 time: 0.2414 data_time: 0.0347 memory: 2049 grad_norm: 5.6801 loss: 3.6618 loss_cls: 2.3277 loss_bbox: 1.3341 2024/10/27 16:00:23 - mmengine - INFO - Epoch(train) [118][ 100/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:38:13 time: 0.2447 data_time: 0.0272 memory: 2049 grad_norm: 5.9355 loss: 3.4465 loss_cls: 2.2303 loss_bbox: 1.2162 2024/10/27 16:00:36 - mmengine - INFO - Epoch(train) [118][ 150/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:38:00 time: 0.2436 data_time: 0.0240 memory: 2049 grad_norm: 5.8494 loss: 3.4544 loss_cls: 2.2221 loss_bbox: 1.2323 2024/10/27 16:00:47 - mmengine - INFO - Epoch(train) [118][ 200/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:37:47 time: 0.2330 data_time: 0.0291 memory: 2049 grad_norm: 5.8816 loss: 3.3628 loss_cls: 2.1750 loss_bbox: 1.1878 2024/10/27 16:00:59 - mmengine - INFO - Epoch(train) [118][ 250/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:37:35 time: 0.2459 data_time: 0.0245 memory: 2049 grad_norm: 5.6630 loss: 3.4882 loss_cls: 2.2215 loss_bbox: 1.2667 2024/10/27 16:01:11 - mmengine - INFO - Epoch(train) [118][ 300/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:37:22 time: 0.2301 data_time: 0.0249 memory: 2049 grad_norm: 5.7091 loss: 3.4248 loss_cls: 2.2200 loss_bbox: 1.2048 2024/10/27 16:01:23 - mmengine - INFO - Epoch(train) [118][ 350/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:37:09 time: 0.2398 data_time: 0.0248 memory: 2049 grad_norm: 5.8762 loss: 3.4429 loss_cls: 2.2157 loss_bbox: 1.2272 2024/10/27 16:01:36 - mmengine - INFO - Epoch(train) [118][ 400/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:36:57 time: 0.2516 data_time: 0.0241 memory: 2049 grad_norm: 5.9164 loss: 3.3768 loss_cls: 2.1774 loss_bbox: 1.1994 2024/10/27 16:01:47 - mmengine - INFO - Epoch(train) [118][ 450/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:36:44 time: 0.2326 data_time: 0.0226 memory: 2049 grad_norm: 5.9063 loss: 3.5153 loss_cls: 2.2730 loss_bbox: 1.2422 2024/10/27 16:02:00 - mmengine - INFO - Epoch(train) [118][ 500/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:36:31 time: 0.2560 data_time: 0.0251 memory: 2049 grad_norm: 6.1997 loss: 3.5640 loss_cls: 2.2918 loss_bbox: 1.2722 2024/10/27 16:02:12 - mmengine - INFO - Epoch(train) [118][ 550/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:36:19 time: 0.2399 data_time: 0.0236 memory: 2049 grad_norm: 5.9153 loss: 3.5076 loss_cls: 2.2300 loss_bbox: 1.2776 2024/10/27 16:02:24 - mmengine - INFO - Epoch(train) [118][ 600/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:36:06 time: 0.2469 data_time: 0.0225 memory: 2049 grad_norm: 5.5821 loss: 3.4948 loss_cls: 2.2327 loss_bbox: 1.2621 2024/10/27 16:02:37 - mmengine - INFO - Epoch(train) [118][ 650/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:35:53 time: 0.2606 data_time: 0.0234 memory: 2049 grad_norm: 5.7857 loss: 3.5396 loss_cls: 2.2553 loss_bbox: 1.2843 2024/10/27 16:02:45 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:02:50 - mmengine - INFO - Epoch(train) [118][ 700/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:35:41 time: 0.2441 data_time: 0.0271 memory: 2049 grad_norm: 5.5771 loss: 3.4796 loss_cls: 2.2248 loss_bbox: 1.2547 2024/10/27 16:03:02 - mmengine - INFO - Epoch(train) [118][ 750/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:35:28 time: 0.2552 data_time: 0.0227 memory: 2049 grad_norm: 5.7859 loss: 3.6129 loss_cls: 2.3076 loss_bbox: 1.3053 2024/10/27 16:03:18 - mmengine - INFO - Epoch(train) [118][ 800/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:35:15 time: 0.3021 data_time: 0.0748 memory: 2049 grad_norm: 5.7004 loss: 3.4070 loss_cls: 2.2278 loss_bbox: 1.1792 2024/10/27 16:03:30 - mmengine - INFO - Epoch(train) [118][ 850/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:35:03 time: 0.2578 data_time: 0.0235 memory: 2049 grad_norm: 5.7609 loss: 3.5319 loss_cls: 2.2658 loss_bbox: 1.2661 2024/10/27 16:03:43 - mmengine - INFO - Epoch(train) [118][ 900/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:34:50 time: 0.2521 data_time: 0.0215 memory: 2049 grad_norm: 5.9342 loss: 3.5053 loss_cls: 2.2511 loss_bbox: 1.2542 2024/10/27 16:03:55 - mmengine - INFO - Epoch(train) [118][ 950/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:34:37 time: 0.2412 data_time: 0.0218 memory: 2049 grad_norm: 5.8708 loss: 3.5261 loss_cls: 2.2561 loss_bbox: 1.2700 2024/10/27 16:04:08 - mmengine - INFO - Epoch(train) [118][1000/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:34:25 time: 0.2537 data_time: 0.0226 memory: 2049 grad_norm: 5.8270 loss: 3.5583 loss_cls: 2.2959 loss_bbox: 1.2624 2024/10/27 16:04:21 - mmengine - INFO - Epoch(train) [118][1050/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:34:12 time: 0.2597 data_time: 0.0215 memory: 2049 grad_norm: 5.7413 loss: 3.4068 loss_cls: 2.2017 loss_bbox: 1.2051 2024/10/27 16:04:34 - mmengine - INFO - Epoch(train) [118][1100/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:33:59 time: 0.2554 data_time: 0.0211 memory: 2049 grad_norm: 5.8291 loss: 3.4172 loss_cls: 2.2194 loss_bbox: 1.1978 2024/10/27 16:04:47 - mmengine - INFO - Epoch(train) [118][1150/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:33:47 time: 0.2594 data_time: 0.0337 memory: 2049 grad_norm: 5.5674 loss: 3.5739 loss_cls: 2.2738 loss_bbox: 1.3000 2024/10/27 16:04:59 - mmengine - INFO - Epoch(train) [118][1200/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:33:34 time: 0.2482 data_time: 0.0217 memory: 2049 grad_norm: 5.7786 loss: 3.4823 loss_cls: 2.2244 loss_bbox: 1.2579 2024/10/27 16:05:12 - mmengine - INFO - Epoch(train) [118][1250/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:33:21 time: 0.2631 data_time: 0.0230 memory: 2049 grad_norm: 5.9079 loss: 3.5002 loss_cls: 2.2418 loss_bbox: 1.2584 2024/10/27 16:05:25 - mmengine - INFO - Epoch(train) [118][1300/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:33:09 time: 0.2499 data_time: 0.0288 memory: 2049 grad_norm: 5.9968 loss: 3.6357 loss_cls: 2.3151 loss_bbox: 1.3206 2024/10/27 16:05:37 - mmengine - INFO - Epoch(train) [118][1350/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:32:56 time: 0.2474 data_time: 0.0225 memory: 2049 grad_norm: 5.5998 loss: 3.5173 loss_cls: 2.2348 loss_bbox: 1.2826 2024/10/27 16:05:50 - mmengine - INFO - Epoch(train) [118][1400/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:32:44 time: 0.2603 data_time: 0.0296 memory: 2049 grad_norm: 5.9394 loss: 3.5015 loss_cls: 2.2409 loss_bbox: 1.2606 2024/10/27 16:06:03 - mmengine - INFO - Epoch(train) [118][1450/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:32:31 time: 0.2556 data_time: 0.0336 memory: 2049 grad_norm: 6.0466 loss: 3.4617 loss_cls: 2.2271 loss_bbox: 1.2346 2024/10/27 16:06:18 - mmengine - INFO - Epoch(train) [118][1500/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:32:18 time: 0.2972 data_time: 0.0660 memory: 2049 grad_norm: 5.9723 loss: 3.4916 loss_cls: 2.2115 loss_bbox: 1.2801 2024/10/27 16:06:31 - mmengine - INFO - Epoch(train) [118][1550/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:32:06 time: 0.2554 data_time: 0.0254 memory: 2049 grad_norm: 5.9839 loss: 3.4411 loss_cls: 2.2048 loss_bbox: 1.2363 2024/10/27 16:06:43 - mmengine - INFO - Epoch(train) [118][1600/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:31:53 time: 0.2512 data_time: 0.0256 memory: 2049 grad_norm: 6.1956 loss: 3.3739 loss_cls: 2.1868 loss_bbox: 1.1871 2024/10/27 16:06:56 - mmengine - INFO - Epoch(train) [118][1650/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:31:40 time: 0.2485 data_time: 0.0267 memory: 2049 grad_norm: 5.9448 loss: 3.4744 loss_cls: 2.2238 loss_bbox: 1.2506 2024/10/27 16:07:04 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:07:09 - mmengine - INFO - Epoch(train) [118][1700/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:31:28 time: 0.2566 data_time: 0.0347 memory: 2049 grad_norm: 6.0155 loss: 3.5818 loss_cls: 2.2827 loss_bbox: 1.2991 2024/10/27 16:07:21 - mmengine - INFO - Epoch(train) [118][1750/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:31:15 time: 0.2556 data_time: 0.0244 memory: 2049 grad_norm: 5.9429 loss: 3.4938 loss_cls: 2.2508 loss_bbox: 1.2429 2024/10/27 16:07:34 - mmengine - INFO - Epoch(train) [118][1800/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:31:02 time: 0.2517 data_time: 0.0267 memory: 2049 grad_norm: 5.9246 loss: 3.4733 loss_cls: 2.2141 loss_bbox: 1.2592 2024/10/27 16:07:46 - mmengine - INFO - Epoch(train) [118][1850/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:30:50 time: 0.2463 data_time: 0.0249 memory: 2049 grad_norm: 5.8413 loss: 3.4129 loss_cls: 2.1863 loss_bbox: 1.2265 2024/10/27 16:07:59 - mmengine - INFO - Epoch(train) [118][1900/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:30:37 time: 0.2520 data_time: 0.0262 memory: 2049 grad_norm: 5.9264 loss: 3.5267 loss_cls: 2.2494 loss_bbox: 1.2773 2024/10/27 16:08:12 - mmengine - INFO - Epoch(train) [118][1950/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:30:24 time: 0.2572 data_time: 0.0244 memory: 2049 grad_norm: 5.8505 loss: 3.4739 loss_cls: 2.2356 loss_bbox: 1.2383 2024/10/27 16:08:25 - mmengine - INFO - Epoch(train) [118][2000/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:30:12 time: 0.2614 data_time: 0.0233 memory: 2049 grad_norm: 6.0108 loss: 3.4616 loss_cls: 2.1902 loss_bbox: 1.2714 2024/10/27 16:08:37 - mmengine - INFO - Epoch(train) [118][2050/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:29:59 time: 0.2515 data_time: 0.0320 memory: 2049 grad_norm: 5.8647 loss: 3.5503 loss_cls: 2.2604 loss_bbox: 1.2899 2024/10/27 16:08:50 - mmengine - INFO - Epoch(train) [118][2100/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:29:46 time: 0.2528 data_time: 0.0233 memory: 2049 grad_norm: 5.4528 loss: 3.4726 loss_cls: 2.2170 loss_bbox: 1.2557 2024/10/27 16:09:02 - mmengine - INFO - Epoch(train) [118][2150/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:29:34 time: 0.2463 data_time: 0.0249 memory: 2049 grad_norm: 6.0345 loss: 3.5043 loss_cls: 2.2228 loss_bbox: 1.2814 2024/10/27 16:09:17 - mmengine - INFO - Epoch(train) [118][2200/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:29:21 time: 0.2921 data_time: 0.0723 memory: 2049 grad_norm: 5.8196 loss: 3.4601 loss_cls: 2.2156 loss_bbox: 1.2445 2024/10/27 16:09:30 - mmengine - INFO - Epoch(train) [118][2250/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:29:09 time: 0.2590 data_time: 0.0240 memory: 2049 grad_norm: 5.9806 loss: 3.5015 loss_cls: 2.2371 loss_bbox: 1.2643 2024/10/27 16:09:42 - mmengine - INFO - Epoch(train) [118][2300/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:28:56 time: 0.2377 data_time: 0.0233 memory: 2049 grad_norm: 5.9764 loss: 3.4470 loss_cls: 2.1859 loss_bbox: 1.2611 2024/10/27 16:09:55 - mmengine - INFO - Epoch(train) [118][2350/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:28:43 time: 0.2582 data_time: 0.0239 memory: 2049 grad_norm: 5.9751 loss: 3.4970 loss_cls: 2.2541 loss_bbox: 1.2429 2024/10/27 16:10:07 - mmengine - INFO - Epoch(train) [118][2400/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:28:31 time: 0.2447 data_time: 0.0233 memory: 2049 grad_norm: 5.9952 loss: 3.4971 loss_cls: 2.2451 loss_bbox: 1.2520 2024/10/27 16:10:19 - mmengine - INFO - Epoch(train) [118][2450/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:28:18 time: 0.2408 data_time: 0.0242 memory: 2049 grad_norm: 5.8248 loss: 3.4744 loss_cls: 2.2311 loss_bbox: 1.2434 2024/10/27 16:10:32 - mmengine - INFO - Epoch(train) [118][2500/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:28:05 time: 0.2597 data_time: 0.0252 memory: 2049 grad_norm: 5.9887 loss: 3.5949 loss_cls: 2.3029 loss_bbox: 1.2920 2024/10/27 16:10:44 - mmengine - INFO - Epoch(train) [118][2550/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:27:53 time: 0.2459 data_time: 0.0292 memory: 2049 grad_norm: 5.9940 loss: 3.4014 loss_cls: 2.1964 loss_bbox: 1.2050 2024/10/27 16:10:57 - mmengine - INFO - Epoch(train) [118][2600/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:27:40 time: 0.2586 data_time: 0.0233 memory: 2049 grad_norm: 6.1085 loss: 3.4441 loss_cls: 2.2247 loss_bbox: 1.2194 2024/10/27 16:11:10 - mmengine - INFO - Epoch(train) [118][2650/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:27:27 time: 0.2450 data_time: 0.0298 memory: 2049 grad_norm: 5.6678 loss: 3.5055 loss_cls: 2.2506 loss_bbox: 1.2550 2024/10/27 16:11:18 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:11:22 - mmengine - INFO - Epoch(train) [118][2700/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:27:15 time: 0.2375 data_time: 0.0247 memory: 2049 grad_norm: 6.0591 loss: 3.4696 loss_cls: 2.2274 loss_bbox: 1.2422 2024/10/27 16:11:34 - mmengine - INFO - Epoch(train) [118][2750/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:27:02 time: 0.2570 data_time: 0.0252 memory: 2049 grad_norm: 5.9179 loss: 3.5140 loss_cls: 2.2651 loss_bbox: 1.2489 2024/10/27 16:11:47 - mmengine - INFO - Epoch(train) [118][2800/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:26:49 time: 0.2423 data_time: 0.0252 memory: 2049 grad_norm: 5.9976 loss: 3.4433 loss_cls: 2.1934 loss_bbox: 1.2499 2024/10/27 16:12:00 - mmengine - INFO - Epoch(train) [118][2850/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:26:37 time: 0.2611 data_time: 0.0256 memory: 2049 grad_norm: 5.8552 loss: 3.4157 loss_cls: 2.1861 loss_bbox: 1.2297 2024/10/27 16:12:12 - mmengine - INFO - Epoch(train) [118][2900/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:26:24 time: 0.2455 data_time: 0.0290 memory: 2049 grad_norm: 5.9225 loss: 3.4394 loss_cls: 2.1909 loss_bbox: 1.2484 2024/10/27 16:12:24 - mmengine - INFO - Epoch(train) [118][2950/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:26:11 time: 0.2408 data_time: 0.0248 memory: 2049 grad_norm: 6.0416 loss: 3.5317 loss_cls: 2.2696 loss_bbox: 1.2621 2024/10/27 16:12:37 - mmengine - INFO - Epoch(train) [118][3000/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:25:59 time: 0.2636 data_time: 0.0298 memory: 2049 grad_norm: 5.9594 loss: 3.4953 loss_cls: 2.2451 loss_bbox: 1.2502 2024/10/27 16:12:49 - mmengine - INFO - Epoch(train) [118][3050/3054] base_lr: 1.4774e-05 lr: 1.4774e-05 eta: 0:25:46 time: 0.2457 data_time: 0.0239 memory: 2049 grad_norm: 5.9814 loss: 3.4473 loss_cls: 2.2112 loss_bbox: 1.2361 2024/10/27 16:12:50 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:12:50 - mmengine - INFO - Saving checkpoint at 118 epochs 2024/10/27 16:13:06 - mmengine - INFO - Epoch(train) [119][ 50/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:25:32 time: 0.2503 data_time: 0.0366 memory: 2049 grad_norm: 5.9999 loss: 3.5757 loss_cls: 2.2719 loss_bbox: 1.3038 2024/10/27 16:13:17 - mmengine - INFO - Epoch(train) [119][ 100/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:25:20 time: 0.2346 data_time: 0.0238 memory: 2049 grad_norm: 5.6219 loss: 3.4925 loss_cls: 2.2599 loss_bbox: 1.2326 2024/10/27 16:13:29 - mmengine - INFO - Epoch(train) [119][ 150/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:25:07 time: 0.2311 data_time: 0.0238 memory: 2049 grad_norm: 5.9735 loss: 3.4691 loss_cls: 2.2000 loss_bbox: 1.2691 2024/10/27 16:13:41 - mmengine - INFO - Epoch(train) [119][ 200/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:24:54 time: 0.2503 data_time: 0.0261 memory: 2049 grad_norm: 5.6707 loss: 3.3822 loss_cls: 2.1817 loss_bbox: 1.2004 2024/10/27 16:13:53 - mmengine - INFO - Epoch(train) [119][ 250/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:24:42 time: 0.2417 data_time: 0.0250 memory: 2049 grad_norm: 5.8995 loss: 3.5158 loss_cls: 2.2649 loss_bbox: 1.2509 2024/10/27 16:14:06 - mmengine - INFO - Epoch(train) [119][ 300/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:24:29 time: 0.2458 data_time: 0.0250 memory: 2049 grad_norm: 5.7923 loss: 3.2814 loss_cls: 2.1177 loss_bbox: 1.1638 2024/10/27 16:14:18 - mmengine - INFO - Epoch(train) [119][ 350/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:24:16 time: 0.2444 data_time: 0.0353 memory: 2049 grad_norm: 5.7475 loss: 3.4869 loss_cls: 2.2321 loss_bbox: 1.2548 2024/10/27 16:14:30 - mmengine - INFO - Epoch(train) [119][ 400/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:24:04 time: 0.2301 data_time: 0.0259 memory: 2049 grad_norm: 5.6861 loss: 3.4939 loss_cls: 2.2289 loss_bbox: 1.2650 2024/10/27 16:14:42 - mmengine - INFO - Epoch(train) [119][ 450/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:23:51 time: 0.2487 data_time: 0.0251 memory: 2049 grad_norm: 6.1582 loss: 3.4417 loss_cls: 2.2159 loss_bbox: 1.2258 2024/10/27 16:14:54 - mmengine - INFO - Epoch(train) [119][ 500/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:23:38 time: 0.2420 data_time: 0.0291 memory: 2049 grad_norm: 5.9310 loss: 3.4533 loss_cls: 2.2083 loss_bbox: 1.2450 2024/10/27 16:15:07 - mmengine - INFO - Epoch(train) [119][ 550/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:23:26 time: 0.2516 data_time: 0.0251 memory: 2049 grad_norm: 5.7301 loss: 3.5126 loss_cls: 2.2510 loss_bbox: 1.2616 2024/10/27 16:15:19 - mmengine - INFO - Epoch(train) [119][ 600/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:23:13 time: 0.2425 data_time: 0.0262 memory: 2049 grad_norm: 5.8128 loss: 3.4804 loss_cls: 2.2384 loss_bbox: 1.2420 2024/10/27 16:15:26 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:15:31 - mmengine - INFO - Epoch(train) [119][ 650/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:23:00 time: 0.2332 data_time: 0.0286 memory: 2049 grad_norm: 5.6753 loss: 3.4274 loss_cls: 2.2226 loss_bbox: 1.2048 2024/10/27 16:15:44 - mmengine - INFO - Epoch(train) [119][ 700/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:22:48 time: 0.2614 data_time: 0.0252 memory: 2049 grad_norm: 5.7533 loss: 3.4739 loss_cls: 2.2377 loss_bbox: 1.2362 2024/10/27 16:15:55 - mmengine - INFO - Epoch(train) [119][ 750/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:22:35 time: 0.2323 data_time: 0.0275 memory: 2049 grad_norm: 5.9876 loss: 3.4444 loss_cls: 2.2510 loss_bbox: 1.1934 2024/10/27 16:16:08 - mmengine - INFO - Epoch(train) [119][ 800/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:22:22 time: 0.2569 data_time: 0.0310 memory: 2049 grad_norm: 6.2180 loss: 3.5029 loss_cls: 2.2562 loss_bbox: 1.2467 2024/10/27 16:16:20 - mmengine - INFO - Epoch(train) [119][ 850/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:22:10 time: 0.2421 data_time: 0.0276 memory: 2049 grad_norm: 5.7684 loss: 3.4018 loss_cls: 2.1948 loss_bbox: 1.2070 2024/10/27 16:16:32 - mmengine - INFO - Epoch(train) [119][ 900/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:21:57 time: 0.2299 data_time: 0.0265 memory: 2049 grad_norm: 5.7086 loss: 3.4206 loss_cls: 2.2255 loss_bbox: 1.1951 2024/10/27 16:16:45 - mmengine - INFO - Epoch(train) [119][ 950/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:21:44 time: 0.2666 data_time: 0.0290 memory: 2049 grad_norm: 5.8226 loss: 3.5617 loss_cls: 2.2398 loss_bbox: 1.3219 2024/10/27 16:16:57 - mmengine - INFO - Epoch(train) [119][1000/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:21:32 time: 0.2311 data_time: 0.0257 memory: 2049 grad_norm: 5.9156 loss: 3.5114 loss_cls: 2.2232 loss_bbox: 1.2883 2024/10/27 16:17:09 - mmengine - INFO - Epoch(train) [119][1050/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:21:19 time: 0.2463 data_time: 0.0250 memory: 2049 grad_norm: 5.4992 loss: 3.4224 loss_cls: 2.1958 loss_bbox: 1.2266 2024/10/27 16:17:21 - mmengine - INFO - Epoch(train) [119][1100/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:21:07 time: 0.2468 data_time: 0.0252 memory: 2049 grad_norm: 5.6861 loss: 3.4848 loss_cls: 2.2250 loss_bbox: 1.2598 2024/10/27 16:17:33 - mmengine - INFO - Epoch(train) [119][1150/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:20:54 time: 0.2345 data_time: 0.0253 memory: 2049 grad_norm: 6.0801 loss: 3.4345 loss_cls: 2.2206 loss_bbox: 1.2139 2024/10/27 16:17:45 - mmengine - INFO - Epoch(train) [119][1200/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:20:41 time: 0.2434 data_time: 0.0345 memory: 2049 grad_norm: 5.9161 loss: 3.3942 loss_cls: 2.1864 loss_bbox: 1.2078 2024/10/27 16:17:57 - mmengine - INFO - Epoch(train) [119][1250/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:20:29 time: 0.2320 data_time: 0.0273 memory: 2049 grad_norm: 5.8293 loss: 3.4324 loss_cls: 2.2147 loss_bbox: 1.2177 2024/10/27 16:18:10 - mmengine - INFO - Epoch(train) [119][1300/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:20:16 time: 0.2526 data_time: 0.0246 memory: 2049 grad_norm: 6.0306 loss: 3.4126 loss_cls: 2.1958 loss_bbox: 1.2168 2024/10/27 16:18:22 - mmengine - INFO - Epoch(train) [119][1350/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:20:03 time: 0.2479 data_time: 0.0366 memory: 2049 grad_norm: 5.7097 loss: 3.4033 loss_cls: 2.1825 loss_bbox: 1.2208 2024/10/27 16:18:35 - mmengine - INFO - Epoch(train) [119][1400/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:19:51 time: 0.2515 data_time: 0.0246 memory: 2049 grad_norm: 5.7673 loss: 3.5185 loss_cls: 2.2620 loss_bbox: 1.2566 2024/10/27 16:18:47 - mmengine - INFO - Epoch(train) [119][1450/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:19:38 time: 0.2379 data_time: 0.0246 memory: 2049 grad_norm: 5.9753 loss: 3.5532 loss_cls: 2.2704 loss_bbox: 1.2828 2024/10/27 16:18:58 - mmengine - INFO - Epoch(train) [119][1500/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:19:25 time: 0.2339 data_time: 0.0251 memory: 2049 grad_norm: 5.7784 loss: 3.4579 loss_cls: 2.2337 loss_bbox: 1.2242 2024/10/27 16:19:11 - mmengine - INFO - Epoch(train) [119][1550/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:19:13 time: 0.2539 data_time: 0.0272 memory: 2049 grad_norm: 5.8205 loss: 3.4252 loss_cls: 2.2359 loss_bbox: 1.1893 2024/10/27 16:19:24 - mmengine - INFO - Epoch(train) [119][1600/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:19:00 time: 0.2493 data_time: 0.0302 memory: 2049 grad_norm: 5.8723 loss: 3.4247 loss_cls: 2.1915 loss_bbox: 1.2333 2024/10/27 16:19:30 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:19:36 - mmengine - INFO - Epoch(train) [119][1650/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:18:47 time: 0.2421 data_time: 0.0250 memory: 2049 grad_norm: 5.8790 loss: 3.4531 loss_cls: 2.2210 loss_bbox: 1.2321 2024/10/27 16:19:48 - mmengine - INFO - Epoch(train) [119][1700/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:18:35 time: 0.2472 data_time: 0.0251 memory: 2049 grad_norm: 5.9202 loss: 3.5598 loss_cls: 2.2685 loss_bbox: 1.2913 2024/10/27 16:20:00 - mmengine - INFO - Epoch(train) [119][1750/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:18:22 time: 0.2417 data_time: 0.0244 memory: 2049 grad_norm: 5.8939 loss: 3.4311 loss_cls: 2.1936 loss_bbox: 1.2375 2024/10/27 16:20:12 - mmengine - INFO - Epoch(train) [119][1800/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:18:09 time: 0.2412 data_time: 0.0255 memory: 2049 grad_norm: 5.9296 loss: 3.4626 loss_cls: 2.2225 loss_bbox: 1.2402 2024/10/27 16:20:25 - mmengine - INFO - Epoch(train) [119][1850/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:17:57 time: 0.2473 data_time: 0.0268 memory: 2049 grad_norm: 5.7866 loss: 3.4759 loss_cls: 2.2185 loss_bbox: 1.2574 2024/10/27 16:20:37 - mmengine - INFO - Epoch(train) [119][1900/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:17:44 time: 0.2420 data_time: 0.0249 memory: 2049 grad_norm: 5.8630 loss: 3.4866 loss_cls: 2.2376 loss_bbox: 1.2490 2024/10/27 16:20:49 - mmengine - INFO - Epoch(train) [119][1950/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:17:31 time: 0.2529 data_time: 0.0297 memory: 2049 grad_norm: 5.5816 loss: 3.4219 loss_cls: 2.1983 loss_bbox: 1.2235 2024/10/27 16:21:02 - mmengine - INFO - Epoch(train) [119][2000/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:17:19 time: 0.2509 data_time: 0.0252 memory: 2049 grad_norm: 5.8558 loss: 3.4508 loss_cls: 2.2231 loss_bbox: 1.2277 2024/10/27 16:21:18 - mmengine - INFO - Epoch(train) [119][2050/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:17:06 time: 0.3115 data_time: 0.0899 memory: 2049 grad_norm: 6.0348 loss: 3.4618 loss_cls: 2.2316 loss_bbox: 1.2302 2024/10/27 16:21:30 - mmengine - INFO - Epoch(train) [119][2100/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:16:53 time: 0.2416 data_time: 0.0255 memory: 2049 grad_norm: 6.3166 loss: 3.3977 loss_cls: 2.1889 loss_bbox: 1.2088 2024/10/27 16:21:42 - mmengine - INFO - Epoch(train) [119][2150/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:16:41 time: 0.2464 data_time: 0.0251 memory: 2049 grad_norm: 5.5877 loss: 3.4319 loss_cls: 2.2004 loss_bbox: 1.2315 2024/10/27 16:21:55 - mmengine - INFO - Epoch(train) [119][2200/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:16:28 time: 0.2514 data_time: 0.0320 memory: 2049 grad_norm: 5.5067 loss: 3.4915 loss_cls: 2.2576 loss_bbox: 1.2339 2024/10/27 16:22:07 - mmengine - INFO - Epoch(train) [119][2250/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:16:15 time: 0.2376 data_time: 0.0251 memory: 2049 grad_norm: 5.9920 loss: 3.4404 loss_cls: 2.1934 loss_bbox: 1.2470 2024/10/27 16:22:19 - mmengine - INFO - Epoch(train) [119][2300/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:16:03 time: 0.2461 data_time: 0.0298 memory: 2049 grad_norm: 5.5523 loss: 3.6099 loss_cls: 2.2966 loss_bbox: 1.3134 2024/10/27 16:22:31 - mmengine - INFO - Epoch(train) [119][2350/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:15:50 time: 0.2327 data_time: 0.0242 memory: 2049 grad_norm: 5.7952 loss: 3.4629 loss_cls: 2.2026 loss_bbox: 1.2603 2024/10/27 16:22:42 - mmengine - INFO - Epoch(train) [119][2400/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:15:38 time: 0.2384 data_time: 0.0253 memory: 2049 grad_norm: 5.7615 loss: 3.4652 loss_cls: 2.2201 loss_bbox: 1.2451 2024/10/27 16:22:55 - mmengine - INFO - Epoch(train) [119][2450/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:15:25 time: 0.2508 data_time: 0.0341 memory: 2049 grad_norm: 5.8452 loss: 3.4890 loss_cls: 2.2408 loss_bbox: 1.2482 2024/10/27 16:23:07 - mmengine - INFO - Epoch(train) [119][2500/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:15:12 time: 0.2389 data_time: 0.0243 memory: 2049 grad_norm: 5.9797 loss: 3.4041 loss_cls: 2.1902 loss_bbox: 1.2139 2024/10/27 16:23:19 - mmengine - INFO - Epoch(train) [119][2550/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:15:00 time: 0.2421 data_time: 0.0244 memory: 2049 grad_norm: 5.8890 loss: 3.4896 loss_cls: 2.2258 loss_bbox: 1.2639 2024/10/27 16:23:31 - mmengine - INFO - Epoch(train) [119][2600/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:14:47 time: 0.2446 data_time: 0.0258 memory: 2049 grad_norm: 5.9164 loss: 3.5102 loss_cls: 2.2214 loss_bbox: 1.2887 2024/10/27 16:23:38 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:23:44 - mmengine - INFO - Epoch(train) [119][2650/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:14:34 time: 0.2438 data_time: 0.0253 memory: 2049 grad_norm: 5.8171 loss: 3.4653 loss_cls: 2.1995 loss_bbox: 1.2658 2024/10/27 16:23:56 - mmengine - INFO - Epoch(train) [119][2700/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:14:22 time: 0.2541 data_time: 0.0258 memory: 2049 grad_norm: 6.2377 loss: 3.4737 loss_cls: 2.2395 loss_bbox: 1.2343 2024/10/27 16:24:09 - mmengine - INFO - Epoch(train) [119][2750/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:14:09 time: 0.2445 data_time: 0.0256 memory: 2049 grad_norm: 5.9974 loss: 3.4897 loss_cls: 2.2283 loss_bbox: 1.2614 2024/10/27 16:24:21 - mmengine - INFO - Epoch(train) [119][2800/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:13:56 time: 0.2545 data_time: 0.0250 memory: 2049 grad_norm: 6.4095 loss: 3.3755 loss_cls: 2.1577 loss_bbox: 1.2178 2024/10/27 16:24:33 - mmengine - INFO - Epoch(train) [119][2850/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:13:44 time: 0.2397 data_time: 0.0276 memory: 2049 grad_norm: 5.8356 loss: 3.4748 loss_cls: 2.2353 loss_bbox: 1.2395 2024/10/27 16:24:46 - mmengine - INFO - Epoch(train) [119][2900/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:13:31 time: 0.2515 data_time: 0.0275 memory: 2049 grad_norm: 5.9782 loss: 3.6305 loss_cls: 2.3104 loss_bbox: 1.3201 2024/10/27 16:24:58 - mmengine - INFO - Epoch(train) [119][2950/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:13:18 time: 0.2435 data_time: 0.0275 memory: 2049 grad_norm: 5.9695 loss: 3.5051 loss_cls: 2.2570 loss_bbox: 1.2481 2024/10/27 16:25:10 - mmengine - INFO - Epoch(train) [119][3000/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:13:06 time: 0.2467 data_time: 0.0237 memory: 2049 grad_norm: 5.7185 loss: 3.5342 loss_cls: 2.2607 loss_bbox: 1.2735 2024/10/27 16:25:23 - mmengine - INFO - Epoch(train) [119][3050/3054] base_lr: 6.5737e-06 lr: 6.5737e-06 eta: 0:12:53 time: 0.2595 data_time: 0.0389 memory: 2049 grad_norm: 5.8285 loss: 3.4916 loss_cls: 2.2474 loss_bbox: 1.2443 2024/10/27 16:25:24 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:25:24 - mmengine - INFO - Saving checkpoint at 119 epochs 2024/10/27 16:25:39 - mmengine - INFO - Epoch(train) [120][ 50/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:12:39 time: 0.2516 data_time: 0.0366 memory: 2049 grad_norm: 5.6429 loss: 3.4916 loss_cls: 2.2187 loss_bbox: 1.2729 2024/10/27 16:25:52 - mmengine - INFO - Epoch(train) [120][ 100/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:12:27 time: 0.2439 data_time: 0.0245 memory: 2049 grad_norm: 5.6194 loss: 3.4138 loss_cls: 2.2252 loss_bbox: 1.1886 2024/10/27 16:26:03 - mmengine - INFO - Epoch(train) [120][ 150/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:12:14 time: 0.2335 data_time: 0.0252 memory: 2049 grad_norm: 5.7363 loss: 3.4700 loss_cls: 2.2055 loss_bbox: 1.2645 2024/10/27 16:26:18 - mmengine - INFO - Epoch(train) [120][ 200/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:12:01 time: 0.2989 data_time: 0.0757 memory: 2049 grad_norm: 5.6582 loss: 3.4723 loss_cls: 2.2216 loss_bbox: 1.2507 2024/10/27 16:26:31 - mmengine - INFO - Epoch(train) [120][ 250/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:11:49 time: 0.2487 data_time: 0.0234 memory: 2049 grad_norm: 5.9675 loss: 3.4524 loss_cls: 2.2325 loss_bbox: 1.2198 2024/10/27 16:26:42 - mmengine - INFO - Epoch(train) [120][ 300/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:11:36 time: 0.2351 data_time: 0.0243 memory: 2049 grad_norm: 5.6788 loss: 3.4935 loss_cls: 2.2566 loss_bbox: 1.2369 2024/10/27 16:26:55 - mmengine - INFO - Epoch(train) [120][ 350/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:11:23 time: 0.2552 data_time: 0.0256 memory: 2049 grad_norm: 5.9873 loss: 3.5864 loss_cls: 2.2946 loss_bbox: 1.2918 2024/10/27 16:27:07 - mmengine - INFO - Epoch(train) [120][ 400/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:11:11 time: 0.2383 data_time: 0.0248 memory: 2049 grad_norm: 5.6258 loss: 3.4254 loss_cls: 2.2147 loss_bbox: 1.2107 2024/10/27 16:27:20 - mmengine - INFO - Epoch(train) [120][ 450/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:10:58 time: 0.2508 data_time: 0.0266 memory: 2049 grad_norm: 6.1149 loss: 3.4875 loss_cls: 2.2292 loss_bbox: 1.2583 2024/10/27 16:27:32 - mmengine - INFO - Epoch(train) [120][ 500/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:10:46 time: 0.2522 data_time: 0.0242 memory: 2049 grad_norm: 5.8851 loss: 3.4945 loss_cls: 2.2709 loss_bbox: 1.2236 2024/10/27 16:27:45 - mmengine - INFO - Epoch(train) [120][ 550/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:10:33 time: 0.2475 data_time: 0.0262 memory: 2049 grad_norm: 5.8708 loss: 3.4785 loss_cls: 2.2443 loss_bbox: 1.2342 2024/10/27 16:27:51 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:27:57 - mmengine - INFO - Epoch(train) [120][ 600/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:10:20 time: 0.2500 data_time: 0.0236 memory: 2049 grad_norm: 5.9191 loss: 3.5583 loss_cls: 2.2793 loss_bbox: 1.2790 2024/10/27 16:28:10 - mmengine - INFO - Epoch(train) [120][ 650/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:10:08 time: 0.2597 data_time: 0.0272 memory: 2049 grad_norm: 6.0451 loss: 3.4266 loss_cls: 2.1793 loss_bbox: 1.2473 2024/10/27 16:28:23 - mmengine - INFO - Epoch(train) [120][ 700/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:09:55 time: 0.2567 data_time: 0.0224 memory: 2049 grad_norm: 5.7688 loss: 3.4969 loss_cls: 2.2159 loss_bbox: 1.2810 2024/10/27 16:28:36 - mmengine - INFO - Epoch(train) [120][ 750/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:09:42 time: 0.2574 data_time: 0.0275 memory: 2049 grad_norm: 6.0566 loss: 3.6216 loss_cls: 2.3311 loss_bbox: 1.2905 2024/10/27 16:28:49 - mmengine - INFO - Epoch(train) [120][ 800/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:09:30 time: 0.2518 data_time: 0.0233 memory: 2049 grad_norm: 5.8258 loss: 3.4716 loss_cls: 2.2398 loss_bbox: 1.2318 2024/10/27 16:29:01 - mmengine - INFO - Epoch(train) [120][ 850/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:09:17 time: 0.2473 data_time: 0.0222 memory: 2049 grad_norm: 5.8326 loss: 3.5731 loss_cls: 2.2713 loss_bbox: 1.3018 2024/10/27 16:29:14 - mmengine - INFO - Epoch(train) [120][ 900/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:09:04 time: 0.2517 data_time: 0.0226 memory: 2049 grad_norm: 5.9831 loss: 3.4970 loss_cls: 2.2197 loss_bbox: 1.2773 2024/10/27 16:29:26 - mmengine - INFO - Epoch(train) [120][ 950/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:08:52 time: 0.2474 data_time: 0.0242 memory: 2049 grad_norm: 5.6357 loss: 3.4980 loss_cls: 2.2157 loss_bbox: 1.2823 2024/10/27 16:29:38 - mmengine - INFO - Epoch(train) [120][1000/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:08:39 time: 0.2475 data_time: 0.0291 memory: 2049 grad_norm: 5.4330 loss: 3.4234 loss_cls: 2.1940 loss_bbox: 1.2294 2024/10/27 16:29:51 - mmengine - INFO - Epoch(train) [120][1050/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:08:26 time: 0.2563 data_time: 0.0243 memory: 2049 grad_norm: 5.7854 loss: 3.4145 loss_cls: 2.1990 loss_bbox: 1.2155 2024/10/27 16:30:03 - mmengine - INFO - Epoch(train) [120][1100/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:08:14 time: 0.2458 data_time: 0.0231 memory: 2049 grad_norm: 5.5799 loss: 3.5076 loss_cls: 2.2488 loss_bbox: 1.2588 2024/10/27 16:30:18 - mmengine - INFO - Epoch(train) [120][1150/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:08:01 time: 0.2822 data_time: 0.0571 memory: 2049 grad_norm: 5.5884 loss: 3.4525 loss_cls: 2.2137 loss_bbox: 1.2387 2024/10/27 16:30:30 - mmengine - INFO - Epoch(train) [120][1200/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:07:48 time: 0.2465 data_time: 0.0226 memory: 2049 grad_norm: 5.9532 loss: 3.5223 loss_cls: 2.2645 loss_bbox: 1.2578 2024/10/27 16:30:43 - mmengine - INFO - Epoch(train) [120][1250/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:07:36 time: 0.2520 data_time: 0.0241 memory: 2049 grad_norm: 5.9067 loss: 3.5184 loss_cls: 2.2513 loss_bbox: 1.2671 2024/10/27 16:30:56 - mmengine - INFO - Epoch(train) [120][1300/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:07:23 time: 0.2591 data_time: 0.0225 memory: 2049 grad_norm: 5.6731 loss: 3.5473 loss_cls: 2.2932 loss_bbox: 1.2541 2024/10/27 16:31:08 - mmengine - INFO - Epoch(train) [120][1350/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:07:11 time: 0.2583 data_time: 0.0238 memory: 2049 grad_norm: 5.7520 loss: 3.5367 loss_cls: 2.2539 loss_bbox: 1.2828 2024/10/27 16:31:21 - mmengine - INFO - Epoch(train) [120][1400/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:06:58 time: 0.2445 data_time: 0.0228 memory: 2049 grad_norm: 5.6725 loss: 3.4969 loss_cls: 2.2506 loss_bbox: 1.2463 2024/10/27 16:31:33 - mmengine - INFO - Epoch(train) [120][1450/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:06:45 time: 0.2514 data_time: 0.0225 memory: 2049 grad_norm: 5.7450 loss: 3.4403 loss_cls: 2.2110 loss_bbox: 1.2293 2024/10/27 16:31:46 - mmengine - INFO - Epoch(train) [120][1500/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:06:33 time: 0.2520 data_time: 0.0238 memory: 2049 grad_norm: 5.9788 loss: 3.4702 loss_cls: 2.2266 loss_bbox: 1.2436 2024/10/27 16:31:59 - mmengine - INFO - Epoch(train) [120][1550/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:06:20 time: 0.2562 data_time: 0.0288 memory: 2049 grad_norm: 5.4938 loss: 3.4291 loss_cls: 2.1977 loss_bbox: 1.2314 2024/10/27 16:32:05 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:32:12 - mmengine - INFO - Epoch(train) [120][1600/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:06:07 time: 0.2584 data_time: 0.0239 memory: 2049 grad_norm: 5.9679 loss: 3.4630 loss_cls: 2.2204 loss_bbox: 1.2426 2024/10/27 16:32:24 - mmengine - INFO - Epoch(train) [120][1650/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:05:55 time: 0.2532 data_time: 0.0236 memory: 2049 grad_norm: 5.5197 loss: 3.3947 loss_cls: 2.1689 loss_bbox: 1.2258 2024/10/27 16:32:37 - mmengine - INFO - Epoch(train) [120][1700/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:05:42 time: 0.2468 data_time: 0.0260 memory: 2049 grad_norm: 5.5624 loss: 3.4782 loss_cls: 2.2329 loss_bbox: 1.2453 2024/10/27 16:32:49 - mmengine - INFO - Epoch(train) [120][1750/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:05:29 time: 0.2542 data_time: 0.0239 memory: 2049 grad_norm: 5.8812 loss: 3.4804 loss_cls: 2.2264 loss_bbox: 1.2540 2024/10/27 16:33:02 - mmengine - INFO - Epoch(train) [120][1800/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:05:17 time: 0.2561 data_time: 0.0228 memory: 2049 grad_norm: 5.4753 loss: 3.5086 loss_cls: 2.2689 loss_bbox: 1.2398 2024/10/27 16:33:19 - mmengine - INFO - Epoch(train) [120][1850/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:05:04 time: 0.3289 data_time: 0.0926 memory: 2049 grad_norm: 5.5150 loss: 3.3731 loss_cls: 2.1834 loss_bbox: 1.1897 2024/10/27 16:33:32 - mmengine - INFO - Epoch(train) [120][1900/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:04:51 time: 0.2581 data_time: 0.0288 memory: 2049 grad_norm: 5.5070 loss: 3.5372 loss_cls: 2.2710 loss_bbox: 1.2662 2024/10/27 16:33:45 - mmengine - INFO - Epoch(train) [120][1950/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:04:39 time: 0.2594 data_time: 0.0293 memory: 2049 grad_norm: 5.7906 loss: 3.6204 loss_cls: 2.2900 loss_bbox: 1.3305 2024/10/27 16:33:57 - mmengine - INFO - Epoch(train) [120][2000/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:04:26 time: 0.2483 data_time: 0.0220 memory: 2049 grad_norm: 5.9992 loss: 3.5194 loss_cls: 2.2348 loss_bbox: 1.2846 2024/10/27 16:34:10 - mmengine - INFO - Epoch(train) [120][2050/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:04:13 time: 0.2687 data_time: 0.0294 memory: 2049 grad_norm: 5.6510 loss: 3.4497 loss_cls: 2.2173 loss_bbox: 1.2325 2024/10/27 16:34:24 - mmengine - INFO - Epoch(train) [120][2100/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:04:01 time: 0.2630 data_time: 0.0219 memory: 2049 grad_norm: 6.0246 loss: 3.4341 loss_cls: 2.2060 loss_bbox: 1.2281 2024/10/27 16:34:36 - mmengine - INFO - Epoch(train) [120][2150/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:03:48 time: 0.2498 data_time: 0.0245 memory: 2049 grad_norm: 5.6721 loss: 3.4914 loss_cls: 2.1885 loss_bbox: 1.3030 2024/10/27 16:34:50 - mmengine - INFO - Epoch(train) [120][2200/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:03:36 time: 0.2686 data_time: 0.0273 memory: 2049 grad_norm: 5.8246 loss: 3.5145 loss_cls: 2.2683 loss_bbox: 1.2462 2024/10/27 16:35:02 - mmengine - INFO - Epoch(train) [120][2250/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:03:23 time: 0.2519 data_time: 0.0234 memory: 2049 grad_norm: 6.0958 loss: 3.6125 loss_cls: 2.2750 loss_bbox: 1.3375 2024/10/27 16:35:18 - mmengine - INFO - Epoch(train) [120][2300/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:03:10 time: 0.3116 data_time: 0.0814 memory: 2049 grad_norm: 5.9436 loss: 3.4634 loss_cls: 2.2308 loss_bbox: 1.2327 2024/10/27 16:35:31 - mmengine - INFO - Epoch(train) [120][2350/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:02:58 time: 0.2707 data_time: 0.0231 memory: 2049 grad_norm: 6.0976 loss: 3.5870 loss_cls: 2.2635 loss_bbox: 1.3235 2024/10/27 16:35:45 - mmengine - INFO - Epoch(train) [120][2400/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:02:45 time: 0.2682 data_time: 0.0271 memory: 2049 grad_norm: 5.5911 loss: 3.5066 loss_cls: 2.2521 loss_bbox: 1.2545 2024/10/27 16:35:59 - mmengine - INFO - Epoch(train) [120][2450/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:02:32 time: 0.2766 data_time: 0.0280 memory: 2049 grad_norm: 5.5037 loss: 3.5830 loss_cls: 2.2875 loss_bbox: 1.2955 2024/10/27 16:36:11 - mmengine - INFO - Epoch(train) [120][2500/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:02:20 time: 0.2559 data_time: 0.0219 memory: 2049 grad_norm: 6.1217 loss: 3.4264 loss_cls: 2.1984 loss_bbox: 1.2281 2024/10/27 16:36:25 - mmengine - INFO - Epoch(train) [120][2550/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:02:07 time: 0.2641 data_time: 0.0231 memory: 2049 grad_norm: 6.0424 loss: 3.5903 loss_cls: 2.2864 loss_bbox: 1.3039 2024/10/27 16:36:31 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:36:38 - mmengine - INFO - Epoch(train) [120][2600/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:01:54 time: 0.2608 data_time: 0.0223 memory: 2049 grad_norm: 5.4706 loss: 3.4563 loss_cls: 2.2193 loss_bbox: 1.2370 2024/10/27 16:36:50 - mmengine - INFO - Epoch(train) [120][2650/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:01:42 time: 0.2550 data_time: 0.0239 memory: 2049 grad_norm: 5.7495 loss: 3.4647 loss_cls: 2.2369 loss_bbox: 1.2279 2024/10/27 16:37:05 - mmengine - INFO - Epoch(train) [120][2700/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:01:29 time: 0.2828 data_time: 0.0269 memory: 2049 grad_norm: 5.6905 loss: 3.5684 loss_cls: 2.2696 loss_bbox: 1.2988 2024/10/27 16:37:18 - mmengine - INFO - Epoch(train) [120][2750/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:01:16 time: 0.2652 data_time: 0.0330 memory: 2049 grad_norm: 6.0633 loss: 3.5022 loss_cls: 2.2227 loss_bbox: 1.2796 2024/10/27 16:37:31 - mmengine - INFO - Epoch(train) [120][2800/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:01:04 time: 0.2564 data_time: 0.0220 memory: 2049 grad_norm: 5.6807 loss: 3.4220 loss_cls: 2.2008 loss_bbox: 1.2212 2024/10/27 16:37:44 - mmengine - INFO - Epoch(train) [120][2850/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:00:51 time: 0.2677 data_time: 0.0225 memory: 2049 grad_norm: 5.9510 loss: 3.4409 loss_cls: 2.2484 loss_bbox: 1.1925 2024/10/27 16:37:57 - mmengine - INFO - Epoch(train) [120][2900/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:00:38 time: 0.2564 data_time: 0.0222 memory: 2049 grad_norm: 6.1150 loss: 3.4964 loss_cls: 2.2318 loss_bbox: 1.2646 2024/10/27 16:38:11 - mmengine - INFO - Epoch(train) [120][2950/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:00:26 time: 0.2774 data_time: 0.0225 memory: 2049 grad_norm: 5.7118 loss: 3.4991 loss_cls: 2.2543 loss_bbox: 1.2448 2024/10/27 16:38:24 - mmengine - INFO - Epoch(train) [120][3000/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:00:13 time: 0.2573 data_time: 0.0215 memory: 2049 grad_norm: 6.0433 loss: 3.5037 loss_cls: 2.2539 loss_bbox: 1.2498 2024/10/27 16:38:36 - mmengine - INFO - Epoch(train) [120][3050/3054] base_lr: 1.6446e-06 lr: 1.6446e-06 eta: 0:00:01 time: 0.2520 data_time: 0.0230 memory: 2049 grad_norm: 5.7973 loss: 3.6080 loss_cls: 2.2941 loss_bbox: 1.3140 2024/10/27 16:38:37 - mmengine - INFO - Exp name: ssdlite_mobilemamba_b1_8gpu_2lr_coco_20241026_181202 2024/10/27 16:38:37 - mmengine - INFO - Saving checkpoint at 120 epochs 2024/10/27 16:38:41 - mmengine - INFO - Epoch(val) [120][50/79] eta: 0:00:01 time: 0.0401 data_time: 0.0048 memory: 2049 2024/10/27 16:38:52 - mmengine - INFO - Evaluating bbox... 2024/10/27 16:39:43 - mmengine - INFO - bbox_mAP_copypaste: 0.240 0.395 0.240 0.031 0.234 0.469 2024/10/27 16:39:43 - mmengine - INFO - Epoch(val) [120][79/79] coco/bbox_mAP: 0.2400 coco/bbox_mAP_50: 0.3950 coco/bbox_mAP_75: 0.2400 coco/bbox_mAP_s: 0.0310 coco/bbox_mAP_m: 0.2340 coco/bbox_mAP_l: 0.4690 data_time: 0.0044 time: 0.0392