resnet-50_rice-leaf-disease-augmented_fft_020125
This model is a fine-tuned version of microsoft/resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6406
- Accuracy: 0.779
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: 64
- eval_batch_size: 64
- seed: 42
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0532 | 1.0 | 250 | 1.9924 | 0.3795 |
| 1.8952 | 2.0 | 500 | 1.7562 | 0.5 |
| 1.6491 | 3.0 | 750 | 1.5051 | 0.5685 |
| 1.4229 | 4.0 | 1000 | 1.2998 | 0.6105 |
| 1.2276 | 5.0 | 1250 | 1.1287 | 0.661 |
| 1.0723 | 6.0 | 1500 | 0.9887 | 0.6965 |
| 0.9462 | 7.0 | 1750 | 0.8832 | 0.7235 |
| 0.8542 | 8.0 | 2000 | 0.8107 | 0.7375 |
| 0.7818 | 9.0 | 2250 | 0.7554 | 0.754 |
| 0.7259 | 10.0 | 2500 | 0.7115 | 0.7585 |
| 0.6918 | 11.0 | 2750 | 0.6865 | 0.7685 |
| 0.6616 | 12.0 | 3000 | 0.6611 | 0.77 |
| 0.6407 | 13.0 | 3250 | 0.6528 | 0.774 |
| 0.6286 | 14.0 | 3500 | 0.6438 | 0.7795 |
| 0.6218 | 15.0 | 3750 | 0.6406 | 0.779 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0