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# swin-tiny-patch4-window7-224-finalterm

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: 0.1890
- Accuracy: 0.9326

## 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: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.2544        | 0.9684 | 23   | 0.5278          | 0.8692   |
| 0.3694        | 1.9789 | 47   | 0.2528          | 0.9049   |
| 0.2816        | 2.9895 | 71   | 0.2065          | 0.9234   |
| 0.2292        | 4.0    | 95   | 0.1986          | 0.9247   |
| 0.2193        | 4.9684 | 118  | 0.1991          | 0.9168   |
| 0.2286        | 5.9789 | 142  | 0.1913          | 0.9339   |
| 0.1887        | 6.9895 | 166  | 0.1932          | 0.9247   |
| 0.1905        | 8.0    | 190  | 0.1883          | 0.9287   |
| 0.1692        | 8.9684 | 213  | 0.1891          | 0.9326   |
| 0.1767        | 9.6842 | 230  | 0.1890          | 0.9326   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1

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