shoe_classifier
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: 0.2791
- Accuracy: 0.9277
- F1: 0.9287
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2347 | 1.0 | 144 | 0.3991 | 0.8675 | 0.9290 |
| 0.0782 | 2.0 | 288 | 0.6030 | 0.8675 | 0.9290 |
| 0.0008 | 3.0 | 432 | 0.9098 | 0.8133 | 0.8970 |
| 0.0002 | 4.0 | 576 | 0.7551 | 0.8554 | 0.9221 |
Framework versions
- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1