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# honchanphat/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: 0.1913
- Validation Loss: 0.2332
- Train Accuracy: 0.93
- 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': 20000, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.3239     | 0.2876          | 0.916          | 0     |
| 0.2662     | 0.2741          | 0.924          | 1     |
| 0.2329     | 0.2906          | 0.915          | 2     |
| 0.2142     | 0.2657          | 0.919          | 3     |
| 0.1913     | 0.2332          | 0.93           | 4     |


### Framework versions

- Transformers 4.45.1
- TensorFlow 2.16.2
- Datasets 3.0.1
- Tokenizers 0.20.0

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