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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-disease-02_111824 |
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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-disease-02_111824 |
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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: 0.1191 |
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- Accuracy: 0.9654 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Use 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: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:----:|:--------:|:---------------:| |
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| 1.4008 | 1.0 | 212 | 0.8303 | 0.5579 | |
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| 0.331 | 2.0 | 424 | 0.9128 | 0.2795 | |
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| 0.192 | 3.0 | 636 | 0.9368 | 0.2083 | |
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| 0.1462 | 4.0 | 848 | 0.9488 | 0.1819 | |
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| 0.1224 | 5.0 | 1060 | 0.9534 | 0.1633 | |
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| 0.1067 | 6.0 | 1272 | 0.9521 | 0.1567 | |
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| 0.0954 | 7.0 | 1484 | 0.9574 | 0.1431 | |
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| 0.0879 | 8.0 | 1696 | 0.9594 | 0.1348 | |
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| 0.0809 | 9.0 | 1908 | 0.9594 | 0.1325 | |
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| 0.0759 | 10.0 | 2120 | 0.9634 | 0.1273 | |
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| 0.0721 | 11.0 | 2332 | 0.1264 | 0.9607 | |
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| 0.0688 | 12.0 | 2544 | 0.1212 | 0.9621 | |
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| 0.0662 | 13.0 | 2756 | 0.1199 | 0.9654 | |
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| 0.0645 | 14.0 | 2968 | 0.1191 | 0.9601 | |
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| 0.0631 | 15.0 | 3180 | 0.1191 | 0.9654 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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