swin-tiny-patch4-window7-224-finetuned-fraud-detection_upd
This model is a fine-tuned version of 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