swinv2-tiny-patch4-window8-256-finetuned-brain-tumor
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0457
- Accuracy: 0.9899
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: 8e-05
- train_batch_size: 38
- eval_batch_size: 38
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 152
- 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 |
|---|---|---|---|---|
| 0.3382 | 1.0 | 47 | 0.1669 | 0.9385 |
| 0.1014 | 2.0 | 94 | 0.0901 | 0.9725 |
| 0.0662 | 3.0 | 141 | 0.0457 | 0.9899 |
| 0.0441 | 4.0 | 188 | 0.0484 | 0.9866 |
| 0.0242 | 5.0 | 235 | 0.0469 | 0.9895 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2