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# suzzit/skin-cancer-classificationv6

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: 9.7066
- Train Accuracy: 0.3717
- Validation Loss: 10.7710
- Validation Accuracy: 0.4481
- 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': 1e-05, 'decay_steps': 27740, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 17.5809    | 0.3562         | 12.7019         | 0.4430              | 0     |
| 10.5613    | 0.3677         | 11.7380         | 0.4354              | 1     |
| 10.0422    | 0.3605         | 11.3135         | 0.4456              | 2     |
| 9.8473     | 0.3655         | 10.9669         | 0.4506              | 3     |
| 9.7066     | 0.3717         | 10.7710         | 0.4481              | 4     |


### Framework versions

- Transformers 4.51.3
- TensorFlow 2.19.0
- Datasets 3.5.1
- Tokenizers 0.21.1

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