cds_w_13

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.2186

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 256
• eval_batch_size: 256
• seed: 13
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.9808	1.0	365	3.6375
3.4229	2.0	730	3.3492
3.2191	3.0	1095	3.2539
3.1166	4.0	1460	3.2084
3.0436	5.0	1825	3.1744
2.9844	6.0	2190	3.1527
2.9331	7.0	2555	3.1375
2.8856	8.0	2920	3.1297
2.8411	9.0	3285	3.1237
2.7979	10.0	3650	3.1268
2.756	11.0	4015	3.1310
2.7145	12.0	4380	3.1424
2.6742	13.0	4745	3.1475
2.6353	14.0	5110	3.1575
2.5968	15.0	5475	3.1717
2.5621	16.0	5840	3.1816
2.5314	17.0	6205	3.1968
2.5056	18.0	6570	3.2056
2.4834	19.0	6935	3.2141
2.4671	20.0	7300	3.2186

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.0