---
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_keras_callback
model-index:
- name: vit-base-patch16-224-2class_normal
  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. -->

# vit-base-patch16-224-2class_normal

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: 0.0023
- Train Accuracy: 0.9828
- Train Top-3-accuracy: 1.0
- Validation Loss: 0.1087
- Validation Accuracy: 0.9839
- Validation Top-3-accuracy: 1.0
- Epoch: 4

## 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': 170, '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 |
|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
| 0.1803     | 0.8483         | 1.0                  | 0.0796          | 0.9356              | 1.0                       | 0     |
| 0.0129     | 0.9548         | 1.0                  | 0.0797          | 0.9663              | 1.0                       | 1     |
| 0.0042     | 0.9721         | 1.0                  | 0.1078          | 0.9762              | 1.0                       | 2     |
| 0.0026     | 0.9791         | 1.0                  | 0.1077          | 0.9813              | 1.0                       | 3     |
| 0.0023     | 0.9828         | 1.0                  | 0.1087          | 0.9839              | 1.0                       | 4     |


### Framework versions

- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1