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# swin-tiny-patch4-window7-224-bottom_cleaned_data

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: 0.0839
- Accuracy: 0.9726

## 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: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4444        | 1.0   | 174  | 0.2271          | 0.9163   |
| 0.3518        | 2.0   | 349  | 0.2449          | 0.9034   |
| 0.225         | 3.0   | 523  | 0.1325          | 0.9501   |
| 0.2195        | 4.0   | 698  | 0.1024          | 0.9549   |
| 0.2627        | 5.0   | 872  | 0.1046          | 0.9630   |
| 0.142         | 6.0   | 1047 | 0.0839          | 0.9726   |
| 0.1516        | 7.0   | 1221 | 0.0918          | 0.9630   |
| 0.1498        | 8.0   | 1396 | 0.0780          | 0.9726   |
| 0.1189        | 9.0   | 1570 | 0.0721          | 0.9662   |
| 0.1594        | 9.97  | 1740 | 0.0668          | 0.9726   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

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