| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: microsoft/swin-base-patch4-window7-224 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_tl |
| | results: [] |
| | --- |
| | |
| | <!-- 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-base-patch4-window7-224_rice-leaf-disease-augmented-v2_tl |
| |
|
| | This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6677 |
| | - Accuracy: 0.7857 |
| |
|
| | ## 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: 128 |
| | - eval_batch_size: 128 |
| | - 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_ratio: 0.1 |
| | - num_epochs: 20 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 1.9001 | 1.0 | 63 | 1.6795 | 0.4613 | |
| | | 1.429 | 2.0 | 126 | 1.2172 | 0.6310 | |
| | | 1.0492 | 3.0 | 189 | 1.0030 | 0.6905 | |
| | | 0.8729 | 4.0 | 252 | 0.8982 | 0.7381 | |
| | | 0.7743 | 5.0 | 315 | 0.8246 | 0.7321 | |
| | | 0.7084 | 6.0 | 378 | 0.7977 | 0.7440 | |
| | | 0.6631 | 7.0 | 441 | 0.7650 | 0.7649 | |
| | | 0.6279 | 8.0 | 504 | 0.7327 | 0.7619 | |
| | | 0.6004 | 9.0 | 567 | 0.7189 | 0.7768 | |
| | | 0.577 | 10.0 | 630 | 0.7078 | 0.7798 | |
| | | 0.5625 | 11.0 | 693 | 0.6952 | 0.7738 | |
| | | 0.5449 | 12.0 | 756 | 0.6857 | 0.7857 | |
| | | 0.537 | 13.0 | 819 | 0.6802 | 0.7827 | |
| | | 0.5301 | 14.0 | 882 | 0.6746 | 0.7857 | |
| | | 0.5224 | 15.0 | 945 | 0.6715 | 0.7857 | |
| | | 0.5188 | 16.0 | 1008 | 0.6704 | 0.7857 | |
| | | 0.5153 | 17.0 | 1071 | 0.6685 | 0.7857 | |
| | | 0.5112 | 18.0 | 1134 | 0.6676 | 0.7857 | |
| | | 0.5119 | 19.0 | 1197 | 0.6678 | 0.7857 | |
| | | 0.5112 | 20.0 | 1260 | 0.6677 | 0.7857 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.48.3 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.3.2 |
| | - Tokenizers 0.21.0 |
| | |
