swin-base-patch4-window7-224_rice-leaf-disease-augmented-v4_tl
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4669
- Accuracy: 0.8356
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: 0.0003
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 256
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 2.0735 | 0.5 | 64 | 0.2886 | 1.8963 |
| 1.7495 | 1.0 | 128 | 0.5805 | 1.4919 |
| 1.3696 | 1.5 | 192 | 0.6846 | 1.1557 |
| 1.1089 | 2.0 | 256 | 0.7383 | 0.9138 |
| 0.9257 | 2.5 | 320 | 0.7483 | 0.8014 |
| 0.8212 | 3.0 | 384 | 0.7752 | 0.7178 |
| 0.7517 | 3.5 | 448 | 0.8020 | 0.6606 |
| 0.706 | 4.0 | 512 | 0.8221 | 0.6248 |
| 0.6772 | 4.5 | 576 | 0.8188 | 0.6039 |
| 0.6558 | 5.0 | 640 | 0.8087 | 0.6038 |
| 0.6427 | 5.5 | 704 | 0.8121 | 0.6080 |
| 0.6385 | 6.0 | 768 | 0.8087 | 0.5981 |
| 0.6549 | 6.5 | 832 | 0.7886 | 0.6049 |
| 0.5978 | 7.0 | 896 | 0.8188 | 0.5738 |
| 0.5935 | 7.5 | 960 | 0.8322 | 0.5369 |
| 0.5571 | 8.0 | 1024 | 0.8423 | 0.5211 |
| 0.5359 | 8.5 | 1088 | 0.8255 | 0.5201 |
| 0.5455 | 9.0 | 1152 | 0.8188 | 0.5270 |
| 0.5198 | 9.5 | 1216 | 0.8322 | 0.5102 |
| 0.5169 | 10.0 | 1280 | 0.8221 | 0.5094 |
| 0.5213 | 10.5 | 1344 | 0.5097 | 0.8221 |
| 0.5069 | 11.0 | 1408 | 0.5042 | 0.8188 |
| 0.5035 | 11.5 | 1472 | 0.5083 | 0.8289 |
| 0.4881 | 12.0 | 1536 | 0.4868 | 0.8356 |
| 0.4768 | 12.5 | 1600 | 0.4753 | 0.8356 |
| 0.4612 | 13.0 | 1664 | 0.4762 | 0.8322 |
| 0.4561 | 13.5 | 1728 | 0.4616 | 0.8356 |
| 0.4476 | 14.0 | 1792 | 0.4690 | 0.8356 |
| 0.448 | 14.5 | 1856 | 0.4665 | 0.8322 |
| 0.4418 | 15.0 | 1920 | 0.4669 | 0.8356 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0