---
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 [facebook/dino-vitb16](https://huggingface.co/facebook/dino-vitb16) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.4493
- Validation Loss: 0.4618
- Train Accuracy: 0.8043
- 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1288, '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': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.2277     | 0.8208          | 0.6087         | 0     |
| 0.7967     | 0.4934          | 0.8261         | 1     |
| 0.5488     | 0.5541          | 0.7391         | 2     |
| 0.6664     | 1.0464          | 0.6304         | 3     |
| 0.7975     | 1.1285          | 0.5652         | 4     |
| 0.6134     | 0.8258          | 0.6957         | 5     |
| 0.4493     | 0.4618          | 0.8043         | 6     |


### Framework versions

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