---
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: Entrnal_eyes_data_5class_RVO_resize_224_model
  results: []
---

<!-- 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_5class_RVO_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: 0.0870
- Train Accuracy: 0.9372
- Train Top-3-accuracy: 0.9944
- Validation Loss: 0.2468
- Validation Accuracy: 0.9406
- Validation Top-3-accuracy: 0.9948
- 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': 784, '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 |
|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
| 0.9323     | 0.6128         | 0.8870               | 0.4850          | 0.7838              | 0.9644                    | 0     |
| 0.3507     | 0.8315         | 0.9758               | 0.3223          | 0.8593              | 0.9822                    | 1     |
| 0.2174     | 0.8787         | 0.9858               | 0.2710          | 0.8925              | 0.9883                    | 2     |
| 0.1573     | 0.9034         | 0.9899               | 0.3544          | 0.9108              | 0.9911                    | 3     |
| 0.1231     | 0.9172         | 0.9920               | 0.2527          | 0.9235              | 0.9928                    | 4     |
| 0.0963     | 0.9287         | 0.9934               | 0.2485          | 0.9333              | 0.9940                    | 5     |
| 0.0870     | 0.9372         | 0.9944               | 0.2468          | 0.9406              | 0.9948                    | 6     |


### Framework versions

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