---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: arieg/4_100_s_clr
  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. -->

# arieg/4_100_s_clr

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: 0.0378
- Validation Loss: 0.0380
- Train Accuracy: 1.0
- Epoch: 19

## 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', 'clipnorm': 1.0, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 7200, '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 | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.9829     | 0.7003          | 0.875          | 0     |
| 0.5404     | 0.3962          | 0.975          | 1     |
| 0.3221     | 0.2131          | 0.975          | 2     |
| 0.2120     | 0.1755          | 1.0            | 3     |
| 0.1496     | 0.1308          | 1.0            | 4     |
| 0.1181     | 0.1103          | 1.0            | 5     |
| 0.0998     | 0.0973          | 1.0            | 6     |
| 0.0878     | 0.0845          | 1.0            | 7     |
| 0.0790     | 0.0793          | 1.0            | 8     |
| 0.0721     | 0.0709          | 1.0            | 9     |
| 0.0665     | 0.0657          | 1.0            | 10    |
| 0.0614     | 0.0602          | 1.0            | 11    |
| 0.0571     | 0.0565          | 1.0            | 12    |
| 0.0534     | 0.0538          | 1.0            | 13    |
| 0.0501     | 0.0499          | 1.0            | 14    |
| 0.0472     | 0.0473          | 1.0            | 15    |
| 0.0445     | 0.0445          | 1.0            | 16    |
| 0.0421     | 0.0423          | 1.0            | 17    |
| 0.0398     | 0.0397          | 1.0            | 18    |
| 0.0378     | 0.0380          | 1.0            | 19    |


### Framework versions

- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1