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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: switch_gate-leaf-disease-convnextv2-base-1k-224 |
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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: None |
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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: 0.9355140186915888 |
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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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# switch_gate-leaf-disease-convnextv2-base-1k-224 |
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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: 0.1746 |
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- Accuracy: 0.9355 |
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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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| 0.6169 | 0.98 | 16 | 0.4210 | 0.8285 | |
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| 0.3115 | 1.97 | 32 | 0.2653 | 0.8949 | |
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| 0.2375 | 2.95 | 48 | 0.2198 | 0.9117 | |
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| 0.1999 | 4.0 | 65 | 0.2004 | 0.9234 | |
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| 0.1916 | 4.98 | 81 | 0.1841 | 0.9290 | |
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| 0.1771 | 5.97 | 97 | 0.1897 | 0.9238 | |
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| 0.168 | 6.95 | 113 | 0.1799 | 0.9308 | |
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| 0.1592 | 8.0 | 130 | 0.1782 | 0.9332 | |
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| 0.1542 | 8.98 | 146 | 0.1728 | 0.9322 | |
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| 0.1521 | 9.97 | 162 | 0.1808 | 0.9346 | |
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| 0.1501 | 10.95 | 178 | 0.1728 | 0.9388 | |
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| 0.1426 | 12.0 | 195 | 0.1756 | 0.9346 | |
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| 0.1389 | 12.98 | 211 | 0.1759 | 0.9369 | |
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| 0.1391 | 13.97 | 227 | 0.1747 | 0.9364 | |
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| 0.136 | 14.95 | 243 | 0.1744 | 0.9364 | |
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| 0.1327 | 15.75 | 256 | 0.1746 | 0.9355 | |
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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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