resnet-50_rice-leaf-disease-augmented_tl_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: 0.7926
- Accuracy: 0.739
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: 0.001
- 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 |
|---|---|---|---|---|
| 1.8935 | 1.0 | 250 | 1.5964 | 0.5395 |
| 1.4144 | 2.0 | 500 | 1.2223 | 0.6045 |
| 1.1814 | 3.0 | 750 | 1.0813 | 0.645 |
| 1.0714 | 4.0 | 1000 | 1.0132 | 0.6575 |
| 0.9906 | 5.0 | 1250 | 0.9498 | 0.6865 |
| 0.9428 | 6.0 | 1500 | 0.9129 | 0.7085 |
| 0.9026 | 7.0 | 1750 | 0.8716 | 0.722 |
| 0.8749 | 8.0 | 2000 | 0.8627 | 0.717 |
| 0.8501 | 9.0 | 2250 | 0.8443 | 0.726 |
| 0.828 | 10.0 | 2500 | 0.8177 | 0.737 |
| 0.8126 | 11.0 | 2750 | 0.8112 | 0.736 |
| 0.8036 | 12.0 | 3000 | 0.8031 | 0.744 |
| 0.79 | 13.0 | 3250 | 0.8043 | 0.735 |
| 0.7925 | 14.0 | 3500 | 0.7939 | 0.7385 |
| 0.7838 | 15.0 | 3750 | 0.7926 | 0.739 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0