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# swin-brain-abnormalities-classification

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2060
- Accuracy: 0.9531

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.8774        | 0.9892  | 23   | 0.5766          | 0.7688   |
| 0.4681        | 1.9785  | 46   | 0.2226          | 0.9363   |
| 0.2733        | 2.9677  | 69   | 0.1654          | 0.9296   |
| 0.2105        | 4.0     | 93   | 0.1851          | 0.9414   |
| 0.1705        | 4.9892  | 116  | 0.2025          | 0.9397   |
| 0.1716        | 5.9785  | 139  | 0.1505          | 0.9497   |
| 0.1528        | 6.9677  | 162  | 0.2124          | 0.9430   |
| 0.1377        | 8.0     | 186  | 0.1841          | 0.9464   |
| 0.1275        | 8.9892  | 209  | 0.1919          | 0.9481   |
| 0.115         | 9.9785  | 232  | 0.1570          | 0.9548   |
| 0.1076        | 10.9677 | 255  | 0.2035          | 0.9481   |
| 0.1001        | 12.0    | 279  | 0.1805          | 0.9514   |
| 0.0932        | 12.9892 | 302  | 0.2067          | 0.9497   |
| 0.0814        | 13.9785 | 325  | 0.2107          | 0.9481   |
| 0.0767        | 14.8387 | 345  | 0.2060          | 0.9531   |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0

lesion normal tumor