dinov2-base_rice-leaf-disease-augmented-v4_fft
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: 0.3577
- Accuracy: 0.9329
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: cosine_with_restarts
- lr_scheduler_warmup_steps: 256
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.3845 | 0.5 | 64 | 0.4749 | 0.8389 |
0.2617 | 1.0 | 128 | 0.4180 | 0.8557 |
0.1422 | 1.5 | 192 | 0.3623 | 0.8893 |
0.1562 | 2.0 | 256 | 0.3631 | 0.8826 |
0.125 | 2.5 | 320 | 0.3037 | 0.9262 |
0.098 | 3.0 | 384 | 0.3326 | 0.9195 |
0.07 | 3.5 | 448 | 0.3849 | 0.9094 |
0.045 | 4.0 | 512 | 0.2490 | 0.9195 |
0.0136 | 4.5 | 576 | 0.3664 | 0.9228 |
0.0021 | 5.0 | 640 | 0.3443 | 0.9362 |
0.0002 | 5.5 | 704 | 0.3226 | 0.9362 |
0.0002 | 6.0 | 768 | 0.3354 | 0.9329 |
0.0 | 6.5 | 832 | 0.3349 | 0.9329 |
0.0 | 7.0 | 896 | 0.3515 | 0.9329 |
0.0 | 7.5 | 960 | 0.3634 | 0.9329 |
0.0 | 8.0 | 1024 | 0.3543 | 0.9329 |
0.0 | 8.5 | 1088 | 0.3555 | 0.9329 |
0.0 | 9.0 | 1152 | 0.3531 | 0.9329 |
0.0 | 9.5 | 1216 | 0.3532 | 0.9329 |
0.0 | 10.0 | 1280 | 0.3536 | 0.9329 |
0.0 | 10.5 | 1344 | 0.3538 | 0.9329 |
0.0 | 11.0 | 1408 | 0.3529 | 0.9329 |
0.0 | 11.5 | 1472 | 0.3559 | 0.9329 |
0.0 | 12.0 | 1536 | 0.3563 | 0.9329 |
0.0 | 12.5 | 1600 | 0.3553 | 0.9329 |
0.0 | 13.0 | 1664 | 0.3575 | 0.9329 |
0.0 | 13.5 | 1728 | 0.3570 | 0.9329 |
0.0 | 14.0 | 1792 | 0.3577 | 0.9329 |
0.0 | 14.5 | 1856 | 0.3577 | 0.9329 |
0.0 | 15.0 | 1920 | 0.3577 | 0.9329 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Base model
facebook/dinov2-base