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# vit-base-patch16-224-2class_pterygium

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0044
- Train Accuracy: 0.9515
- Train Top-3-accuracy: 1.0
- Validation Loss: 0.1337
- Validation Accuracy: 0.9550
- Validation Top-3-accuracy: 1.0
- Epoch: 5

## 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': 366, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
| 0.4319     | 0.6998         | 1.0                  | 0.2552          | 0.8013              | 1.0                       | 0     |
| 0.1258     | 0.8484         | 1.0                  | 0.1345          | 0.8810              | 1.0                       | 1     |
| 0.0223     | 0.9030         | 1.0                  | 0.1283          | 0.9190              | 1.0                       | 2     |
| 0.0079     | 0.9287         | 1.0                  | 0.1303          | 0.9367              | 1.0                       | 3     |
| 0.0054     | 0.9429         | 1.0                  | 0.1333          | 0.9479              | 1.0                       | 4     |
| 0.0044     | 0.9515         | 1.0                  | 0.1337          | 0.9550              | 1.0                       | 5     |


### Framework versions

- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1

notptery pterygium