<!-- 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-finetuned-fit
This model is a fine-tuned version of xlagor/swin-tiny-patch4-window7-224-finetuned-fit on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0711
- Accuracy: 0.9772
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: 120
- eval_batch_size: 120
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 480
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3727 | 0.99 | 62 | 0.1103 | 0.9680 |
| 0.3551 | 1.99 | 125 | 0.1018 | 0.9701 |
| 0.3258 | 3.0 | 188 | 0.0995 | 0.9706 |
| 0.3008 | 4.0 | 251 | 0.0939 | 0.9712 |
| 0.2896 | 4.99 | 313 | 0.0872 | 0.9730 |
| 0.2612 | 5.99 | 376 | 0.0829 | 0.9739 |
| 0.2275 | 7.0 | 439 | 0.0815 | 0.9748 |
| 0.2358 | 8.0 | 502 | 0.0839 | 0.9739 |
| 0.2191 | 8.99 | 564 | 0.0778 | 0.9775 |
| 0.2096 | 9.99 | 627 | 0.0759 | 0.9769 |
| 0.2063 | 11.0 | 690 | 0.0749 | 0.9778 |
| 0.1916 | 12.0 | 753 | 0.0735 | 0.9775 |
| 0.2002 | 12.99 | 815 | 0.0732 | 0.9781 |
| 0.1905 | 13.99 | 878 | 0.0713 | 0.9784 |
| 0.1835 | 15.0 | 941 | 0.0707 | 0.9784 |
| 0.1949 | 15.81 | 992 | 0.0711 | 0.9772 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
