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# suzzit/skin-cancer-classificationv7

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: 1.0962
- Train Accuracy: 0.3536
- Validation Loss: 1.0305
- Validation Accuracy: 0.5038
- Epoch: 8

## 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': 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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.1015     | 0.3508         | 1.0890          | 0.4127              | 0     |
| 1.0988     | 0.3432         | 1.0872          | 0.4987              | 1     |
| 1.0978     | 0.3634         | 1.0766          | 0.3646              | 2     |
| 1.0962     | 0.3464         | 1.0730          | 0.3975              | 3     |
| 1.0962     | 0.3446         | 1.0840          | 0.4886              | 4     |
| 1.0951     | 0.3605         | 1.0515          | 0.5038              | 5     |
| 1.0950     | 0.3616         | 1.0455          | 0.5063              | 6     |
| 1.0959     | 0.3569         | 1.0243          | 0.5392              | 7     |
| 1.0962     | 0.3536         | 1.0305          | 0.5038              | 8     |


### Framework versions

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

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