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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: google/vit-base-patch16-224 |
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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: vit-base-patch16-224_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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# vit-base-patch16-224_rice-leaf-disease-augmented-v2_tl |
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6919 |
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- Accuracy: 0.7679 |
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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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| 2.1171 | 1.0 | 63 | 1.8775 | 0.2946 | |
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| 1.6139 | 2.0 | 126 | 1.3619 | 0.5476 | |
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| 1.1727 | 3.0 | 189 | 1.1003 | 0.6577 | |
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| 0.9586 | 4.0 | 252 | 0.9665 | 0.7232 | |
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| 0.8409 | 5.0 | 315 | 0.8663 | 0.7440 | |
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| 0.7632 | 6.0 | 378 | 0.8322 | 0.7381 | |
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| 0.7093 | 7.0 | 441 | 0.8039 | 0.7470 | |
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| 0.6667 | 8.0 | 504 | 0.7722 | 0.75 | |
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| 0.6353 | 9.0 | 567 | 0.7477 | 0.7560 | |
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| 0.6101 | 10.0 | 630 | 0.7304 | 0.7589 | |
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| 0.5894 | 11.0 | 693 | 0.7229 | 0.7649 | |
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| 0.5737 | 12.0 | 756 | 0.7130 | 0.7619 | |
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| 0.5627 | 13.0 | 819 | 0.7033 | 0.7649 | |
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| 0.5524 | 14.0 | 882 | 0.7009 | 0.7649 | |
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| 0.5439 | 15.0 | 945 | 0.6945 | 0.7679 | |
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| 0.5397 | 16.0 | 1008 | 0.6937 | 0.7649 | |
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| 0.5357 | 17.0 | 1071 | 0.6933 | 0.7679 | |
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| 0.5337 | 18.0 | 1134 | 0.6919 | 0.7679 | |
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| 0.5322 | 19.0 | 1197 | 0.6921 | 0.7679 | |
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| 0.5325 | 20.0 | 1260 | 0.6919 | 0.7679 | |
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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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