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--- |
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license: apache-2.0 |
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base_model: facebook/convnextv2-tiny-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: convnextv2-tiny-1k-224-finetuned-cassava-leaf-disease |
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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: 0.8649532710280374 |
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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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# convnextv2-tiny-1k-224-finetuned-cassava-leaf-disease |
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This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4109 |
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- Accuracy: 0.8650 |
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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: 480 |
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- eval_batch_size: 480 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 1920 |
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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: 15 |
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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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| 7.8796 | 0.98 | 10 | 3.9572 | 0.1706 | |
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| 2.3762 | 1.95 | 20 | 1.4334 | 0.6178 | |
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| 1.1413 | 2.93 | 30 | 0.8877 | 0.6841 | |
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| 0.7549 | 4.0 | 41 | 0.6403 | 0.7724 | |
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| 0.5904 | 4.98 | 51 | 0.5366 | 0.8098 | |
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| 0.5152 | 5.95 | 61 | 0.4799 | 0.8369 | |
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| 0.4764 | 6.93 | 71 | 0.4567 | 0.8486 | |
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| 0.4386 | 8.0 | 82 | 0.4421 | 0.8509 | |
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| 0.4306 | 8.98 | 92 | 0.4381 | 0.8519 | |
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| 0.4266 | 9.95 | 102 | 0.4296 | 0.8603 | |
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| 0.4072 | 10.93 | 112 | 0.4196 | 0.8593 | |
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| 0.4033 | 12.0 | 123 | 0.4127 | 0.8621 | |
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| 0.3982 | 12.98 | 133 | 0.4125 | 0.8640 | |
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| 0.3993 | 13.95 | 143 | 0.4097 | 0.8631 | |
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| 0.3812 | 14.63 | 150 | 0.4109 | 0.8650 | |
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### Framework versions |
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- Transformers 4.37.2 |
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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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