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# SWIN-AI-Image-Detector

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: 0.0461
- Accuracy: 0.9833

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2411        | 1.0   | 547  | 0.2430          | 0.9013   |
| 0.2011        | 2.0   | 1094 | 0.1053          | 0.9593   |
| 0.1722        | 3.0   | 1641 | 0.0825          | 0.9671   |
| 0.1424        | 4.0   | 2188 | 0.0851          | 0.9686   |
| 0.1244        | 5.0   | 2735 | 0.0714          | 0.9733   |
| 0.1089        | 6.0   | 3282 | 0.0712          | 0.9734   |
| 0.1047        | 7.0   | 3829 | 0.0461          | 0.9833   |
| 0.1079        | 8.0   | 4376 | 0.0454          | 0.9829   |
| 0.0805        | 9.0   | 4923 | 0.0577          | 0.9790   |
| 0.0778        | 10.0  | 5470 | 0.0539          | 0.9807   |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3

fake real