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# image_classification

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0002
- Accuracy: 1.0

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 1.0978          | 0.5      |
| No log        | 2.0   | 2    | 1.0528          | 0.5833   |
| No log        | 3.0   | 3    | 0.9606          | 0.625    |
| No log        | 4.0   | 4    | 0.8337          | 0.7083   |
| No log        | 5.0   | 5    | 0.6860          | 0.75     |
| No log        | 6.0   | 6    | 0.5366          | 0.9167   |
| No log        | 7.0   | 7    | 0.3971          | 0.9583   |
| No log        | 8.0   | 8    | 0.2704          | 1.0      |
| No log        | 9.0   | 9    | 0.1702          | 1.0      |
| 0.1887        | 10.0  | 10   | 0.1046          | 1.0      |
| 0.1887        | 11.0  | 11   | 0.0633          | 1.0      |
| 0.1887        | 12.0  | 12   | 0.0420          | 1.0      |
| 0.1887        | 13.0  | 13   | 0.0324          | 1.0      |
| 0.1887        | 14.0  | 14   | 0.0298          | 1.0      |
| 0.1887        | 15.0  | 15   | 0.0260          | 1.0      |
| 0.1887        | 16.0  | 16   | 0.0229          | 1.0      |
| 0.1887        | 17.0  | 17   | 0.0180          | 1.0      |
| 0.1887        | 18.0  | 18   | 0.0119          | 1.0      |
| 0.1887        | 19.0  | 19   | 0.0072          | 1.0      |
| 0.0083        | 20.0  | 20   | 0.0045          | 1.0      |
| 0.0083        | 21.0  | 21   | 0.0022          | 1.0      |
| 0.0083        | 22.0  | 22   | 0.0012          | 1.0      |
| 0.0083        | 23.0  | 23   | 0.0007          | 1.0      |
| 0.0083        | 24.0  | 24   | 0.0005          | 1.0      |
| 0.0083        | 25.0  | 25   | 0.0004          | 1.0      |
| 0.0083        | 26.0  | 26   | 0.0003          | 1.0      |
| 0.0083        | 27.0  | 27   | 0.0003          | 1.0      |
| 0.0083        | 28.0  | 28   | 0.0002          | 1.0      |
| 0.0083        | 29.0  | 29   | 0.0002          | 1.0      |
| 0.0009        | 30.0  | 30   | 0.0002          | 1.0      |
| 0.0009        | 31.0  | 31   | 0.0002          | 1.0      |
| 0.0009        | 32.0  | 32   | 0.0002          | 1.0      |
| 0.0009        | 33.0  | 33   | 0.0002          | 1.0      |
| 0.0009        | 34.0  | 34   | 0.0002          | 1.0      |
| 0.0009        | 35.0  | 35   | 0.0002          | 1.0      |
| 0.0009        | 36.0  | 36   | 0.0002          | 1.0      |
| 0.0009        | 37.0  | 37   | 0.0002          | 1.0      |
| 0.0009        | 38.0  | 38   | 0.0002          | 1.0      |
| 0.0009        | 39.0  | 39   | 0.0002          | 1.0      |
| 0.0003        | 40.0  | 40   | 0.0002          | 1.0      |
| 0.0003        | 41.0  | 41   | 0.0002          | 1.0      |
| 0.0003        | 42.0  | 42   | 0.0002          | 1.0      |
| 0.0003        | 43.0  | 43   | 0.0002          | 1.0      |
| 0.0003        | 44.0  | 44   | 0.0002          | 1.0      |
| 0.0003        | 45.0  | 45   | 0.0002          | 1.0      |
| 0.0003        | 46.0  | 46   | 0.0002          | 1.0      |
| 0.0003        | 47.0  | 47   | 0.0002          | 1.0      |
| 0.0003        | 48.0  | 48   | 0.0002          | 1.0      |
| 0.0003        | 49.0  | 49   | 0.0002          | 1.0      |
| 0.0002        | 50.0  | 50   | 0.0002          | 1.0      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2

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