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# swin-tiny-patch4-window7-224-finetuned-FaceAIorNot-24000

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: 0.0489
- Accuracy: 0.9817
- Precision: 0.9833
- Recall: 0.9801
- F1: 0.9817

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.1529        | 1.0   | 168  | 0.1168          | 0.9492   | 0.9471    | 0.9518 | 0.9495 |
| 0.0908        | 2.0   | 337  | 0.1135          | 0.9521   | 0.9964    | 0.9078 | 0.9500 |
| 0.0703        | 3.0   | 506  | 0.0791          | 0.9712   | 0.9822    | 0.9601 | 0.9710 |
| 0.046         | 4.0   | 675  | 0.0511          | 0.9804   | 0.9825    | 0.9784 | 0.9804 |
| 0.024         | 4.98  | 840  | 0.0489          | 0.9817   | 0.9833    | 0.9801 | 0.9817 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-FaceAIorNot-24000", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "train", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.9816666666666667, "name": "Accuracy"}, {"type": "precision", "value": 0.9833333333333333, "name": "Precision"}, {"type": "recall", "value": 0.9800664451827242, "name": "Recall"}, {"type": "f1", "value": 0.9816971713810315, "name": "F1"}]}]}]}
transformers pytorch swin image-classification generated_from_trainer dataset:imagefolder base_model:microsoft/swin-tiny-patch4-window7-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us