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# Entrnal_eyes_data_5class_RVO_newNormal_resize_224_model

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: 0.0885
- Train Accuracy: 0.9332
- Train Top-3-accuracy: 0.9946
- Validation Loss: 0.2622
- Validation Accuracy: 0.9369
- Validation Top-3-accuracy: 0.9950
- Epoch: 6

## 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': 777, '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 |
|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
| 0.9273     | 0.5844         | 0.9067               | 0.5047          | 0.7651              | 0.9651                    | 0     |
| 0.3467     | 0.8197         | 0.9763               | 0.3231          | 0.8519              | 0.9828                    | 1     |
| 0.2263     | 0.8717         | 0.9862               | 0.3327          | 0.8846              | 0.9886                    | 2     |
| 0.1624     | 0.8956         | 0.9902               | 0.2742          | 0.9047              | 0.9914                    | 3     |
| 0.1247     | 0.9124         | 0.9923               | 0.2696          | 0.9190              | 0.9931                    | 4     |
| 0.1000     | 0.9243         | 0.9937               | 0.2560          | 0.9292              | 0.9942                    | 5     |
| 0.0885     | 0.9332         | 0.9946               | 0.2622          | 0.9369              | 0.9950                    | 6     |


### Framework versions

- Transformers 4.44.2
- TensorFlow 2.15.1
- Datasets 3.0.0
- Tokenizers 0.19.1

dp rvo cataract glaucoma normal