swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-skullStrippded_02
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0588
- Accuracy: 0.9822
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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0459 | 1.0 | 11 | 0.4734 | 0.8135 |
| 0.3898 | 2.0 | 22 | 0.2289 | 0.9189 |
| 0.2062 | 3.0 | 33 | 0.1297 | 0.9530 |
| 0.1218 | 4.0 | 44 | 0.0881 | 0.9673 |
| 0.0735 | 5.0 | 55 | 0.0879 | 0.9680 |
| 0.0659 | 6.0 | 66 | 0.0667 | 0.9765 |
| 0.05 | 7.0 | 77 | 0.0588 | 0.9822 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3