swin-tiny-patch4-window7-224-plant-disease-new
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0163
- Accuracy: 0.9945
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: 100
- eval_batch_size: 100
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 400
- 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 |
|---|---|---|---|---|
| 0.1728 | 1.0 | 366 | 0.0762 | 0.9750 |
| 0.1022 | 2.0 | 733 | 0.0430 | 0.9855 |
| 0.0806 | 3.0 | 1100 | 0.0265 | 0.9912 |
| 0.0623 | 4.0 | 1467 | 0.0229 | 0.9931 |
| 0.046 | 5.0 | 1833 | 0.0189 | 0.9937 |
| 0.0471 | 5.99 | 2196 | 0.0163 | 0.9945 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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Base model
microsoft/swin-tiny-patch4-window7-224