plant_disease_classification
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0323
- Accuracy: 0.9915
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1367 | 1.0 | 8146 | 0.1257 | 0.9638 |
| 0.0952 | 2.0 | 16292 | 0.0908 | 0.9737 |
| 0.0694 | 3.0 | 24438 | 0.0702 | 0.9807 |
| 0.0536 | 4.0 | 32584 | 0.0578 | 0.9836 |
| 0.0389 | 5.0 | 40730 | 0.0567 | 0.9851 |
| 0.03 | 6.0 | 48876 | 0.0390 | 0.9892 |
| 0.0236 | 7.0 | 57022 | 0.0323 | 0.9915 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2