Swin-Transformer-Pro-Passport-Orientation-Classifier
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0948
- Accuracy: 0.975
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.0594 | 1.0 | 15 | 0.6024 | 0.745 |
| 2.0855 | 2.0 | 30 | 0.3377 | 0.89 |
| 1.7551 | 3.0 | 45 | 0.1731 | 0.94 |
| 1.0192 | 4.0 | 60 | 0.1030 | 0.97 |
| 0.9583 | 4.7018 | 70 | 0.0948 | 0.975 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0