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# resnet-18-finetuned-fraud

This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 2060572751382446080.0000
- Precision: 0.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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          | Precision |
|:------------------------:|:-----:|:----:|:------------------------:|:---------:|
| No log                   | 1.0   | 2    | 2060572751382446080.0000 | 0.0       |
| No log                   | 2.0   | 4    | 2060572751382446080.0000 | 0.0       |
| No log                   | 3.0   | 6    | 2060572751382446080.0000 | 0.0       |
| No log                   | 4.0   | 8    | 2060572751382446080.0000 | 0.0       |
| 2569276759331150336.0000 | 5.0   | 10   | 2060572751382446080.0000 | 0.0       |
| 2569276759331150336.0000 | 6.0   | 12   | 2060572751382446080.0000 | 0.0       |
| 2569276759331150336.0000 | 7.0   | 14   | 2060572751382446080.0000 | 0.0       |
| 2569276759331150336.0000 | 8.0   | 16   | 2060572751382446080.0000 | 0.0       |
| 2569276759331150336.0000 | 9.0   | 18   | 2060572751382446080.0000 | 0.0       |
| 2411513773224361984.0000 | 10.0  | 20   | 2060572751382446080.0000 | 0.0       |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1

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