dinov2-base_rice-leaf-disease-augmented_fft_012825
This model is a fine-tuned version of facebook/dinov2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0125
- Accuracy: 0.9965
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 | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.8384 | 1.0 | 250 | 0.931 | 0.2042 |
| 0.1037 | 2.0 | 500 | 0.96 | 0.1290 |
| 0.0574 | 3.0 | 750 | 0.977 | 0.0657 |
| 0.0255 | 4.0 | 1000 | 0.985 | 0.0527 |
| 0.0096 | 5.0 | 1250 | 0.988 | 0.0374 |
| 0.0052 | 6.0 | 1500 | 0.997 | 0.0128 |
| 0.0018 | 7.0 | 1750 | 0.9945 | 0.0131 |
| 0.0027 | 8.0 | 2000 | 0.997 | 0.0122 |
| 0.0004 | 9.0 | 2250 | 0.997 | 0.0153 |
| 0.0013 | 10.0 | 2500 | 0.997 | 0.0128 |
| 0.0004 | 11.0 | 2750 | 0.9965 | 0.0147 |
| 0.0004 | 12.0 | 3000 | 0.997 | 0.0155 |
| 0.0003 | 13.0 | 3250 | 0.9955 | 0.0118 |
| 0.0004 | 14.0 | 3500 | 0.9955 | 0.0123 |
| 0.0003 | 15.0 | 3750 | 0.9965 | 0.0125 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0