resnet-50_rice-leaf-disease-augmented-v2_tl
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: 1.3083
- Accuracy: 0.5952
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: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- 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: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0633 | 1.0 | 63 | 2.0143 | 0.3452 |
| 1.9625 | 2.0 | 126 | 1.8719 | 0.5060 |
| 1.8119 | 3.0 | 189 | 1.7332 | 0.5 |
| 1.6826 | 4.0 | 252 | 1.6271 | 0.5268 |
| 1.5879 | 5.0 | 315 | 1.5436 | 0.5595 |
| 1.516 | 6.0 | 378 | 1.4871 | 0.5536 |
| 1.4572 | 7.0 | 441 | 1.4566 | 0.5655 |
| 1.4104 | 8.0 | 504 | 1.4224 | 0.5685 |
| 1.3734 | 9.0 | 567 | 1.4033 | 0.5685 |
| 1.3414 | 10.0 | 630 | 1.3735 | 0.5952 |
| 1.3186 | 11.0 | 693 | 1.3579 | 0.5714 |
| 1.2972 | 12.0 | 756 | 1.3402 | 0.5923 |
| 1.2862 | 13.0 | 819 | 1.3342 | 0.5893 |
| 1.2716 | 14.0 | 882 | 1.3271 | 0.5863 |
| 1.2632 | 15.0 | 945 | 1.3210 | 0.6042 |
| 1.2546 | 16.0 | 1008 | 1.3146 | 0.5923 |
| 1.2485 | 17.0 | 1071 | 1.3061 | 0.6012 |
| 1.25 | 18.0 | 1134 | 1.3090 | 0.5923 |
| 1.2457 | 19.0 | 1197 | 1.3106 | 0.6042 |
| 1.2466 | 20.0 | 1260 | 1.3083 | 0.5952 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0