tomato-leaf-disease-classification-vit
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the wellCh4n/tomato-leaf-disease-image dataset. It achieves the following results on the evaluation set:
- Loss: 0.0170
- Accuracy: 0.9967
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- 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: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1879 | 1.0 | 1930 | 0.0915 | 0.9842 |
| 0.1685 | 2.0 | 3860 | 0.0688 | 0.9838 |
| 0.0118 | 3.0 | 5790 | 0.0271 | 0.9952 |
| 0.1 | 4.0 | 7720 | 0.0244 | 0.9952 |
| 0.0629 | 5.0 | 9650 | 0.0170 | 0.9967 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0