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--- |
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license: apache-2.0 |
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base_model: facebook/convnextv2-base-1k-224 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: Expert2-leaf-disease-convnextv2-base-1k-224-1_2_3 |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9390862944162437 |
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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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# Expert2-leaf-disease-convnextv2-base-1k-224-1_2_3 |
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This model is a fine-tuned version of [facebook/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1892 |
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- Accuracy: 0.9391 |
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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: 5e-05 |
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- train_batch_size: 300 |
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- eval_batch_size: 300 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 1200 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 16 |
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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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| 1.5107 | 0.96 | 13 | 1.0756 | 0.7422 | |
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| 1.0022 | 2.0 | 27 | 0.5781 | 0.7603 | |
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| 0.4503 | 2.96 | 40 | 0.3902 | 0.8697 | |
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| 0.3704 | 4.0 | 54 | 0.3101 | 0.9058 | |
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| 0.2996 | 4.96 | 67 | 0.2573 | 0.9165 | |
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| 0.2405 | 6.0 | 81 | 0.2647 | 0.9075 | |
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| 0.2268 | 6.96 | 94 | 0.2259 | 0.9233 | |
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| 0.2036 | 8.0 | 108 | 0.2126 | 0.9329 | |
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| 0.1957 | 8.96 | 121 | 0.2149 | 0.9329 | |
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| 0.1885 | 10.0 | 135 | 0.1974 | 0.9385 | |
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| 0.1866 | 10.96 | 148 | 0.1983 | 0.9318 | |
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| 0.1771 | 12.0 | 162 | 0.2066 | 0.9363 | |
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| 0.1752 | 12.96 | 175 | 0.1975 | 0.9357 | |
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| 0.1744 | 14.0 | 189 | 0.1893 | 0.9380 | |
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| 0.1636 | 14.96 | 202 | 0.1889 | 0.9391 | |
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| 0.1636 | 15.41 | 208 | 0.1892 | 0.9391 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.1 |
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