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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/convnext-base-224 |
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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: convnext-base-224_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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# convnext-base-224_rice-leaf-disease-augmented-v2_tl |
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This model is a fine-tuned version of [facebook/convnext-base-224](https://huggingface.co/facebook/convnext-base-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9910 |
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- Accuracy: 0.6935 |
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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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| 2.0641 | 1.0 | 63 | 1.9738 | 0.3780 | |
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| 1.833 | 2.0 | 126 | 1.7100 | 0.5 | |
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| 1.5486 | 3.0 | 189 | 1.4962 | 0.5595 | |
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| 1.3602 | 4.0 | 252 | 1.3563 | 0.5982 | |
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| 1.2385 | 5.0 | 315 | 1.2619 | 0.625 | |
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| 1.1522 | 6.0 | 378 | 1.1995 | 0.6458 | |
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| 1.0888 | 7.0 | 441 | 1.1555 | 0.6607 | |
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| 1.0383 | 8.0 | 504 | 1.1159 | 0.6667 | |
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| 1.0003 | 9.0 | 567 | 1.0857 | 0.6726 | |
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| 0.971 | 10.0 | 630 | 1.0579 | 0.6845 | |
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| 0.9447 | 11.0 | 693 | 1.0446 | 0.6815 | |
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| 0.9265 | 12.0 | 756 | 1.0262 | 0.6905 | |
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| 0.9123 | 13.0 | 819 | 1.0158 | 0.6845 | |
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| 0.8985 | 14.0 | 882 | 1.0050 | 0.6935 | |
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| 0.8902 | 15.0 | 945 | 0.9993 | 0.6964 | |
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| 0.8846 | 16.0 | 1008 | 0.9950 | 0.6935 | |
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| 0.8803 | 17.0 | 1071 | 0.9926 | 0.6935 | |
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| 0.8774 | 18.0 | 1134 | 0.9916 | 0.6935 | |
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| 0.8766 | 19.0 | 1197 | 0.9911 | 0.6935 | |
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| 0.8772 | 20.0 | 1260 | 0.9910 | 0.6935 | |
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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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