---
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_keras_callback
model-index:
- name: EyesNewFiveclassTryAfterYolo-agument
  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. -->

# EyesNewFiveclassTryAfterYolo-agument

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: 0.0039
- Train Accuracy: 0.9688
- Train Top-3-accuracy: 1.0
- Validation Loss: 0.0779
- Validation Accuracy: 0.9688
- Validation Top-3-accuracy: 0.9961
- Epoch: 9

## 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': 1270, '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 |
|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
| 0.5486     | 0.9492         | 0.9674               | 0.1847          | 0.9492              | 1.0                       | 0     |
| 0.1032     | 0.9492         | 0.9980               | 0.1171          | 0.9492              | 0.9961                    | 1     |
| 0.0359     | 0.9688         | 1.0                  | 0.1081          | 0.9688              | 0.9961                    | 2     |
| 0.0179     | 0.9688         | 1.0                  | 0.0958          | 0.9688              | 0.9961                    | 3     |
| 0.0121     | 0.9688         | 1.0                  | 0.0749          | 0.9688              | 0.9961                    | 4     |
| 0.0074     | 0.9688         | 1.0                  | 0.0765          | 0.9688              | 0.9961                    | 5     |
| 0.0066     | 0.9688         | 1.0                  | 0.0812          | 0.9688              | 0.9961                    | 6     |
| 0.0054     | 0.9688         | 1.0                  | 0.0823          | 0.9688              | 0.9961                    | 7     |
| 0.0046     | 0.9688         | 1.0                  | 0.0777          | 0.9688              | 0.9961                    | 8     |
| 0.0039     | 0.9688         | 1.0                  | 0.0779          | 0.9688              | 0.9961                    | 9     |


### Framework versions

- Transformers 4.42.4
- TensorFlow 2.17.0
- Datasets 2.20.0
- Tokenizers 0.19.1