---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: shbA/food_classifier
  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. -->

# shbA/food_classifier

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: 0.8652
- Train Accuracy: 0.75
- Validation Loss: 0.7771
- Validation Accuracy: 0.75
- Epoch: 5

## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1600, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.05}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.9228     | 0.7            | 0.9388          | 0.7000              | 0     |
| 0.9711     | 0.775          | 0.8639          | 0.7750              | 1     |
| 0.8841     | 0.825          | 0.8585          | 0.8250              | 2     |
| 0.8757     | 0.65           | 0.8448          | 0.6500              | 3     |
| 0.8802     | 0.75           | 0.7883          | 0.75                | 4     |
| 0.8652     | 0.75           | 0.7771          | 0.75                | 5     |


### Framework versions

- Transformers 4.29.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3