
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# Entrnal_eyes_data_6class_allNew_not_other_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: 0.0917
- Train Accuracy: 0.9468
- Train Top-3-accuracy: 0.9954
- Validation Loss: 0.2431
- Validation Accuracy: 0.9496
- Validation Top-3-accuracy: 0.9957
- 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': 917, '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 |
|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
| 0.9132     | 0.6556         | 0.9035               | 0.4997          | 0.8161              | 0.9711                    | 0     |
| 0.3301     | 0.8571         | 0.9805               | 0.3293          | 0.8811              | 0.9856                    | 1     |
| 0.2152     | 0.8971         | 0.9883               | 0.2990          | 0.9090              | 0.9902                    | 2     |
| 0.1612     | 0.9176         | 0.9915               | 0.2913          | 0.9244              | 0.9926                    | 3     |
| 0.1231     | 0.9302         | 0.9933               | 0.2531          | 0.9354              | 0.9940                    | 4     |
| 0.1020     | 0.9397         | 0.9945               | 0.2420          | 0.9436              | 0.9950                    | 5     |
| 0.0917     | 0.9468         | 0.9954               | 0.2431          | 0.9496              | 0.9957                    | 6     |


### Framework versions

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

dp rop rvo cataract glaucoma normal