New-plant-diseases-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: 0.0548
- Accuracy: 0.995
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 16
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.5635 | 1.0 | 137 | 1.0712 | 0.9918 |
| 0.5929 | 2.0 | 275 | 0.3213 | 0.9923 |
| 0.2239 | 3.0 | 412 | 0.1482 | 0.9955 |
| 0.1256 | 4.0 | 550 | 0.1175 | 0.9882 |
| 0.0807 | 5.0 | 687 | 0.0648 | 0.9955 |
| 0.0561 | 6.0 | 825 | 0.0548 | 0.995 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2