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# yuus2733/toyotacars_classifier

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3304
- Validation Loss: 1.1095
- Train Accuracy: 0.7028
- Epoch: 29

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 43110, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 2.9793     | 2.8834          | 0.1556         | 0     |
| 2.8141     | 2.7550          | 0.25           | 1     |
| 2.6444     | 2.5301          | 0.3361         | 2     |
| 2.4691     | 2.3374          | 0.4722         | 3     |
| 2.2959     | 2.1452          | 0.5333         | 4     |
| 2.0945     | 2.0539          | 0.5389         | 5     |
| 1.9633     | 1.8626          | 0.5722         | 6     |
| 1.8124     | 1.8536          | 0.55           | 7     |
| 1.6898     | 1.6423          | 0.6083         | 8     |
| 1.5422     | 1.5292          | 0.6222         | 9     |
| 1.4272     | 1.4585          | 0.6306         | 10    |
| 1.3109     | 1.4785          | 0.6222         | 11    |
| 1.1907     | 1.3007          | 0.6861         | 12    |
| 1.0850     | 1.2980          | 0.6833         | 13    |
| 1.0577     | 1.2130          | 0.7056         | 14    |
| 0.9468     | 1.1251          | 0.7167         | 15    |
| 0.8517     | 1.3172          | 0.6472         | 16    |
| 0.8206     | 1.1645          | 0.7083         | 17    |
| 0.7459     | 1.1768          | 0.6972         | 18    |
| 0.6864     | 1.1457          | 0.6778         | 19    |
| 0.6379     | 1.1162          | 0.6972         | 20    |
| 0.5928     | 1.0945          | 0.7056         | 21    |
| 0.5569     | 1.0542          | 0.7139         | 22    |
| 0.5276     | 1.1110          | 0.7083         | 23    |
| 0.4715     | 1.0347          | 0.7222         | 24    |
| 0.4470     | 0.9403          | 0.7222         | 25    |
| 0.4112     | 0.9729          | 0.7222         | 26    |
| 0.4101     | 1.0422          | 0.6944         | 27    |
| 0.3707     | 1.0415          | 0.6917         | 28    |
| 0.3304     | 1.1095          | 0.7028         | 29    |


### Framework versions

- Transformers 4.50.3
- TensorFlow 2.19.0
- Datasets 3.5.0
- Tokenizers 0.21.1

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