switch_gate-leaf-disease-convnextv2-base-22k-224
This model is a fine-tuned version of facebook/convnextv2-base-22k-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1674
- Accuracy: 0.9379
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: 300
- eval_batch_size: 300
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 1200
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6005 | 0.98 | 16 | 0.3258 | 0.8701 |
| 0.234 | 1.97 | 32 | 0.2121 | 0.9173 |
| 0.197 | 2.95 | 48 | 0.1869 | 0.9271 |
| 0.1613 | 4.0 | 65 | 0.1692 | 0.9336 |
| 0.1536 | 4.98 | 81 | 0.1616 | 0.9397 |
| 0.1426 | 5.97 | 97 | 0.1628 | 0.9355 |
| 0.132 | 6.95 | 113 | 0.1609 | 0.9407 |
| 0.1304 | 8.0 | 130 | 0.1597 | 0.9402 |
| 0.1245 | 8.98 | 146 | 0.1628 | 0.9350 |
| 0.1224 | 9.97 | 162 | 0.1664 | 0.9364 |
| 0.1143 | 10.95 | 178 | 0.1615 | 0.9388 |
| 0.1106 | 12.0 | 195 | 0.1641 | 0.9393 |
| 0.103 | 12.98 | 211 | 0.1689 | 0.9374 |
| 0.1047 | 13.97 | 227 | 0.1673 | 0.9379 |
| 0.102 | 14.95 | 243 | 0.1681 | 0.9397 |
| 0.1038 | 15.75 | 256 | 0.1674 | 0.9379 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.1