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

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: 0.5803
- Accuracy: 0.845

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2602        | 0.14  | 10   | 1.9846          | 0.365    |
| 1.8138        | 0.28  | 20   | 1.4061          | 0.614    |
| 1.3707        | 0.43  | 30   | 0.9769          | 0.702    |
| 1.1183        | 0.57  | 40   | 0.7637          | 0.78     |
| 0.9688        | 0.71  | 50   | 0.6487          | 0.812    |
| 0.9258        | 0.85  | 60   | 0.6009          | 0.838    |
| 0.8917        | 0.99  | 70   | 0.5803          | 0.845    |


### Framework versions

- Transformers 4.31.0
- Pytorch 1.10.1+cu111
- Datasets 2.14.6
- Tokenizers 0.13.3

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