
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# swin-tiny-patch4-window7-224-finetuned-parkinson-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 the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2075
- Accuracy: 1.0

## 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: 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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 0.6230          | 0.7273   |
| No log        | 2.0   | 2    | 0.5722          | 0.7273   |
| No log        | 3.0   | 3    | 0.4570          | 0.7273   |
| No log        | 4.0   | 4    | 0.3367          | 0.9091   |
| No log        | 5.0   | 5    | 0.3078          | 0.9091   |
| No log        | 6.0   | 6    | 0.3134          | 0.8182   |
| No log        | 7.0   | 7    | 0.2473          | 0.9091   |
| No log        | 8.0   | 8    | 0.2397          | 1.0      |
| No log        | 9.0   | 9    | 0.2622          | 0.9091   |
| 0.3565        | 10.0  | 10   | 0.2396          | 0.9091   |
| 0.3565        | 11.0  | 11   | 0.2158          | 1.0      |
| 0.3565        | 12.0  | 12   | 0.2075          | 1.0      |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1

healthy parkinson