output
This model is a fine-tuned version of timm/vit_base_patch16_224.augreg2_in21k_ft_in1k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1798
- Accuracy: 0.9409
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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8834 | 1.0 | 29 | 0.3203 | 0.9002 |
| 0.3653 | 2.0 | 58 | 0.2524 | 0.9193 |
| 0.2723 | 3.0 | 87 | 0.2100 | 0.9338 |
| 0.177 | 4.0 | 116 | 0.2148 | 0.9362 |
| 0.1662 | 5.0 | 145 | 0.1798 | 0.9409 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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