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--- |
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license: apache-2.0 |
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base_model: facebook/convnextv2-base-22k-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-22k-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: 0.9498025944726453 |
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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-22k-224-1_2_3 |
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This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1599 |
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- Accuracy: 0.9498 |
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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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| 1.0623 | 0.96 | 13 | 0.6227 | 0.7456 | |
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| 0.5754 | 2.0 | 27 | 0.2772 | 0.8996 | |
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| 0.233 | 2.96 | 40 | 0.2167 | 0.9255 | |
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| 0.1972 | 4.0 | 54 | 0.1777 | 0.9425 | |
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| 0.1763 | 4.96 | 67 | 0.1742 | 0.9425 | |
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| 0.1631 | 6.0 | 81 | 0.1650 | 0.9459 | |
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| 0.1532 | 6.96 | 94 | 0.1708 | 0.9391 | |
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| 0.1384 | 8.0 | 108 | 0.1627 | 0.9442 | |
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| 0.1415 | 8.96 | 121 | 0.1662 | 0.9447 | |
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| 0.133 | 10.0 | 135 | 0.1620 | 0.9470 | |
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| 0.1362 | 10.96 | 148 | 0.1715 | 0.9442 | |
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| 0.1248 | 12.0 | 162 | 0.1628 | 0.9447 | |
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| 0.1217 | 12.96 | 175 | 0.1607 | 0.9475 | |
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| 0.1264 | 14.0 | 189 | 0.1587 | 0.9475 | |
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| 0.1178 | 14.96 | 202 | 0.1595 | 0.9498 | |
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| 0.1178 | 15.41 | 208 | 0.1599 | 0.9498 | |
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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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