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# swin-tiny-patch4-window7-224-finetuned-skin-cancer

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3821
- Accuracy: 0.8613

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.9232        | 0.9929 | 35   | 0.8263          | 0.7116   |
| 0.6427        | 1.9858 | 70   | 0.6465          | 0.7645   |
| 0.5475        | 2.9787 | 105  | 0.5370          | 0.8054   |
| 0.4539        | 4.0    | 141  | 0.4634          | 0.8234   |
| 0.4547        | 4.9929 | 176  | 0.4462          | 0.8353   |
| 0.4009        | 5.9858 | 211  | 0.4218          | 0.8483   |
| 0.3722        | 6.9787 | 246  | 0.3942          | 0.8533   |
| 0.3042        | 8.0    | 282  | 0.4198          | 0.8453   |
| 0.3071        | 8.9929 | 317  | 0.4136          | 0.8493   |
| 0.3103        | 9.9291 | 350  | 0.3821          | 0.8613   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1

actinic-keratoses basal-cell-carcinoma benign-keratosis-like-lesions dermatofibroma melanocytic-nevi melanoma vascular-lesions