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# swin-tiny-patch4-window7-224

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: 1.3635
- Accuracy: 0.5294

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.8   | 3    | 1.7560          | 0.3137   |
| No log        | 1.87  | 7    | 1.6225          | 0.3725   |
| 1.7919        | 2.93  | 11   | 1.5661          | 0.4510   |
| 1.7919        | 4.0   | 15   | 1.5332          | 0.4510   |
| 1.7919        | 4.8   | 18   | 1.4522          | 0.5294   |
| 1.5187        | 5.87  | 22   | 1.3873          | 0.4902   |
| 1.5187        | 6.93  | 26   | 1.3741          | 0.4902   |
| 1.2773        | 8.0   | 30   | 1.3635          | 0.5294   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

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