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# swin-tiny-patch4-window7-224-finetuned-sar

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: 0.0351
- Accuracy: 0.9880

## 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: 0.0001
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3706        | 1.0   | 53   | 0.1639          | 0.9442   |
| 0.3062        | 2.0   | 106  | 0.1337          | 0.9509   |
| 0.264         | 3.0   | 159  | 0.0671          | 0.9748   |
| 0.1861        | 4.0   | 212  | 0.0470          | 0.9854   |
| 0.2131        | 5.0   | 265  | 0.0351          | 0.9880   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.2
- Tokenizers 0.13.3

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