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# swin-tiny-patch4-window7-224-fraud_number_classification-fraud_number_classification

This model is a fine-tuned version of [100rab25/swin-tiny-patch4-window7-224-fraud_number_classification](https://huggingface.co/100rab25/swin-tiny-patch4-window7-224-fraud_number_classification) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0010
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0444        | 1.0   | 70   | 0.0041          | 0.9990   |
| 0.0418        | 2.0   | 140  | 0.0063          | 0.9990   |
| 0.022         | 3.0   | 210  | 0.0018          | 0.9990   |
| 0.0226        | 4.0   | 280  | 0.0010          | 1.0      |
| 0.013         | 5.0   | 350  | 0.0009          | 1.0      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

fraud_number fraud_number_not_found