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# swin-tiny-patch4-window7-224-finetuned-lungs-disease

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: 0.2546
- Accuracy: 0.9109

## 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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.9133        | 0.9767 | 21   | 0.6896          | 0.7327   |
| 0.4397        | 2.0    | 43   | 0.3190          | 0.8779   |
| 0.3235        | 2.9767 | 64   | 0.2864          | 0.8944   |
| 0.2945        | 4.0    | 86   | 0.2758          | 0.8977   |
| 0.2804        | 4.8837 | 105  | 0.2546          | 0.9109   |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1

bacterial pneumonia corona virus disease normal tuberculosis viral pneumonia