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# swin-tiny-patch4-window7-224-shortSleeveCleanedData

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: 0.0355
- Accuracy: 0.9945

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 7
- total_train_batch_size: 56
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1819        | 1.0   | 147  | 0.0471          | 0.9880   |
| 0.1431        | 2.0   | 294  | 0.0457          | 0.9891   |
| 0.1001        | 3.0   | 441  | 0.0392          | 0.9891   |
| 0.116         | 4.0   | 588  | 0.0451          | 0.9880   |
| 0.1144        | 5.0   | 735  | 0.0398          | 0.9902   |
| 0.0787        | 6.0   | 882  | 0.0441          | 0.9902   |
| 0.0998        | 7.0   | 1029 | 0.0320          | 0.9902   |
| 0.124         | 8.0   | 1176 | 0.0364          | 0.9902   |
| 0.103         | 9.0   | 1323 | 0.0395          | 0.9880   |
| 0.0591        | 10.0  | 1470 | 0.0299          | 0.9913   |
| 0.0445        | 11.0  | 1617 | 0.0302          | 0.9913   |
| 0.0684        | 12.0  | 1764 | 0.0350          | 0.9880   |
| 0.0358        | 13.0  | 1911 | 0.0408          | 0.9891   |
| 0.0548        | 14.0  | 2058 | 0.0382          | 0.9902   |
| 0.0611        | 15.0  | 2205 | 0.0331          | 0.9923   |
| 0.0231        | 16.0  | 2352 | 0.0355          | 0.9945   |
| 0.046         | 17.0  | 2499 | 0.0321          | 0.9934   |
| 0.0648        | 18.0  | 2646 | 0.0327          | 0.9923   |
| 0.0565        | 19.0  | 2793 | 0.0320          | 0.9923   |
| 0.0413        | 20.0  | 2940 | 0.0327          | 0.9923   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

chemise polo tshirt