swin-tiny-patch4-window7-224_har-finetuned
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the image_folder dataset. It achieves the following results on the evaluation set:
- Loss: 0.5817
- Accuracy: 0.8307
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9655 | 0.99 | 83 | 0.8374 | 0.7323 |
| 0.648 | 1.99 | 166 | 0.6449 | 0.7931 |
| 0.5058 | 2.99 | 249 | 0.6082 | 0.8074 |
| 0.3272 | 3.99 | 332 | 0.5766 | 0.8254 |
| 0.2569 | 4.99 | 415 | 0.5827 | 0.8217 |
| 0.2226 | 5.99 | 498 | 0.5817 | 0.8307 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.1.0
- Tokenizers 0.12.1