Add trained model and evaluation artifacts
Browse files- README.md +7 -2
- confusion_matrix.png +0 -0
- per_class_metrics.csv +7 -0
- resnet18_beans.pth +1 -1
README.md
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This model was trained in Google Colab using a GPU and tracked with MLflow.
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Dataset: [Beans](https://huggingface.co/datasets/beans)
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- Healthy
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- Bean Rust
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- Angular Leaf Spot
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Validation Accuracy: 0.
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This model was trained in Google Colab using a GPU and tracked with MLflow.
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Dataset: [Beans](https://huggingface.co/datasets/beans)
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### Classes:
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- Healthy
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- Bean Rust
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- Angular Leaf Spot
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Validation Accuracy: 0.9850
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## Artifacts:
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- per_class_metrics.csv
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- confusion_matrix.png
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confusion_matrix.png
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per_class_metrics.csv
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,precision,recall,f1-score,support
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0,0.9772727272727273,0.9772727272727273,0.9772727272727273,44.0
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1,0.9777777777777777,0.9777777777777777,0.9777777777777777,45.0
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2,1.0,1.0,1.0,44.0
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accuracy,0.9849624060150376,0.9849624060150376,0.9849624060150376,0.9849624060150376
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macro avg,0.985016835016835,0.985016835016835,0.985016835016835,133.0
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weighted avg,0.9849624060150376,0.9849624060150376,0.9849624060150376,133.0
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resnet18_beans.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 44792331
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version https://git-lfs.github.com/spec/v1
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oid sha256:923c8845a0a75b662df8a1f7de8896e92114d3bf95e89c6c2844ad3730a3491b
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size 44792331
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