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# swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-skullStrippded_02

This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0588
- Accuracy: 0.9822

## 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: 8e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0459        | 1.0   | 11   | 0.4734          | 0.8135   |
| 0.3898        | 2.0   | 22   | 0.2289          | 0.9189   |
| 0.2062        | 3.0   | 33   | 0.1297          | 0.9530   |
| 0.1218        | 4.0   | 44   | 0.0881          | 0.9673   |
| 0.0735        | 5.0   | 55   | 0.0879          | 0.9680   |
| 0.0659        | 6.0   | 66   | 0.0667          | 0.9765   |
| 0.05          | 7.0   | 77   | 0.0588          | 0.9822   |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3

glioma meningioma notumor pituitary