swinv2-base-patch4-window8-256-isic217
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window8-256 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1588
- Accuracy: 0.65
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1681 | 0.9888 | 22 | 2.0018 | 0.25 |
| 1.9254 | 1.9775 | 44 | 1.7653 | 0.35 |
| 1.6706 | 2.9663 | 66 | 1.6649 | 0.6 |
| 1.2834 | 4.0 | 89 | 1.5579 | 0.5 |
| 1.2039 | 4.9888 | 111 | 1.4087 | 0.55 |
| 0.9395 | 5.9775 | 133 | 1.3115 | 0.5 |
| 0.7532 | 6.9663 | 155 | 1.3599 | 0.6 |
| 0.6573 | 8.0 | 178 | 1.1588 | 0.65 |
| 0.6663 | 8.9888 | 200 | 1.2074 | 0.6 |
| 0.4686 | 9.8876 | 220 | 1.2285 | 0.6 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1