swin-tiny-patch4-window7-224-finetuned-car0007-20240420
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: 0.0203
- Accuracy: 0.9939
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1477 | 1.0 | 127 | 0.0922 | 0.9729 |
| 0.0696 | 2.0 | 254 | 0.0396 | 0.9889 |
| 0.0525 | 2.99 | 381 | 0.0463 | 0.9833 |
| 0.0366 | 4.0 | 509 | 0.0232 | 0.9941 |
| 0.0343 | 4.99 | 635 | 0.0203 | 0.9939 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2