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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: facebook/dinov2-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: dinov2-base_rice-leaf-disease-augmented-v2_tl |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# dinov2-base_rice-leaf-disease-augmented-v2_tl |
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This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5013 |
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- Accuracy: 0.8512 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.0771 | 1.0 | 63 | 1.5173 | 0.4881 | |
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| 1.0706 | 2.0 | 126 | 0.9022 | 0.7173 | |
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| 0.6568 | 3.0 | 189 | 0.7203 | 0.7619 | |
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| 0.5123 | 4.0 | 252 | 0.6513 | 0.7827 | |
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| 0.4311 | 5.0 | 315 | 0.5929 | 0.8125 | |
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| 0.3812 | 6.0 | 378 | 0.5802 | 0.8274 | |
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| 0.3426 | 7.0 | 441 | 0.5669 | 0.8274 | |
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| 0.3145 | 8.0 | 504 | 0.5452 | 0.8333 | |
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| 0.2919 | 9.0 | 567 | 0.5532 | 0.8155 | |
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| 0.276 | 10.0 | 630 | 0.5275 | 0.8423 | |
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| 0.263 | 11.0 | 693 | 0.5189 | 0.8512 | |
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| 0.2502 | 12.0 | 756 | 0.5181 | 0.8512 | |
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| 0.2416 | 13.0 | 819 | 0.5058 | 0.8482 | |
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| 0.2343 | 14.0 | 882 | 0.5050 | 0.8542 | |
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| 0.2292 | 15.0 | 945 | 0.5009 | 0.8482 | |
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| 0.2245 | 16.0 | 1008 | 0.5057 | 0.8482 | |
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| 0.2224 | 17.0 | 1071 | 0.5040 | 0.8512 | |
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| 0.2205 | 18.0 | 1134 | 0.5021 | 0.8482 | |
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| 0.2195 | 19.0 | 1197 | 0.5017 | 0.8512 | |
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| 0.2188 | 20.0 | 1260 | 0.5013 | 0.8512 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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