Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
eurosat-vit
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8229
- Accuracy: 0.6739
- F1 Macro: 0.6681
- F1 Weighted: 0.6750
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: 3e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.06
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted |
|---|---|---|---|---|---|---|
| 1.9476 | 1.0 | 64 | 1.8809 | 0.2202 | 0.1833 | 0.1900 |
| 1.4137 | 2.0 | 128 | 1.4084 | 0.4454 | 0.4195 | 0.4281 |
| 0.8344 | 3.0 | 192 | 0.9926 | 0.6043 | 0.5952 | 0.6031 |
| 0.3992 | 4.0 | 256 | 0.8452 | 0.6620 | 0.6547 | 0.6615 |
| 0.3652 | 5.0 | 320 | 0.8229 | 0.6739 | 0.6681 | 0.6750 |
Framework versions
- PEFT 0.19.1
- Transformers 5.8.1
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
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Base model
google/vit-base-patch16-224