<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
swin-tiny-patch4-window7-224-finetunedo
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3710
- Roc Auc: 0.8606
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Roc Auc |
|---|---|---|---|---|
| No log | 1.0 | 3 | 0.5066 | 0.7647 |
| No log | 2.0 | 6 | 0.4204 | 0.7941 |
| No log | 3.0 | 9 | 0.4298 | 0.7353 |
| 0.4868 | 4.0 | 12 | 0.4040 | 0.8018 |
| 0.4868 | 5.0 | 15 | 0.3925 | 0.7724 |
| 0.4868 | 6.0 | 18 | 0.3674 | 0.8235 |
| 0.4096 | 7.0 | 21 | 0.3673 | 0.8606 |
| 0.4096 | 8.0 | 24 | 0.3710 | 0.8606 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
