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# output

This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1572
- Accuracy: 0.4642

## 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: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3572        | 1.0   | 375  | 1.7203          | 0.3489   |
| 1.1073        | 2.0   | 750  | 1.5234          | 0.375    |
| 0.9986        | 3.0   | 1125 | 1.1572          | 0.4642   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.8.1+cu101
- Datasets 2.10.0
- Tokenizers 0.13.2

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