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

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: 0.2231
- Accuracy: 0.9119
- F1: 0.9086
- Log Loss: 3.0422

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Log Loss |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|
| 0.2538        | 0.98  | 32   | 0.2327          | 0.9055   | 0.9018 | 3.2647   |
| 0.1735        | 1.98  | 64   | 0.2029          | 0.9151   | 0.9122 | 2.9309   |
| 0.1562        | 2.98  | 96   | 0.2231          | 0.9119   | 0.9086 | 3.0422   |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1

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