transformers tensorboard safetensors swin image-classification generated_from_trainer base_model:microsoft/swin-tiny-patch4-window7-224 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-finetuned-fraud-detection_upd
  results: []
---

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# swin-tiny-patch4-window7-224-finetuned-fraud-detection_upd

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0007
- 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: 0.0002
- train_batch_size: 256
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1076        | 1.0   | 61   | 0.0389          | 0.9890   |
| 0.0192        | 2.0   | 122  | 0.0132          | 0.9965   |
| 0.0168        | 3.0   | 183  | 0.0101          | 0.9959   |
| 0.0025        | 4.0   | 244  | 0.0020          | 0.9994   |
| 0.0014        | 5.0   | 305  | 0.0007          | 1.0      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
