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# beit-base-patch16-224-pt22k-ft22k-finetuned-Melanoma_Cancer_Dataset

This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2378
- Accuracy: 0.9044
- Precision: 0.9044
- F1 Score: 0.9044

## 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:
- learning_rate: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:--------:|
| 0.4436        | 1.0   | 38   | 0.2878          | 0.8790   | 0.8791    | 0.8790   |
| 0.3327        | 2.0   | 76   | 0.2664          | 0.8919   | 0.8936    | 0.8920   |
| 0.289         | 3.0   | 114  | 0.2378          | 0.9044   | 0.9044    | 0.9044   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1

benign malignant