Update model with improved regularization and data augmentation
Browse files- README.md +1 -1
- confusion_matrix.png +0 -0
- per_class_metrics.csv +6 -6
- resnet18_beans.pth +1 -1
README.md
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@@ -30,7 +30,7 @@ This model was trained in Google Colab using a T4 GPU and tracked with MLflow.
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- Bean Rust
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- Angular Leaf Spot
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**Validation Accuracy:** 0.
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## Training Configuration
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- Bean Rust
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- Angular Leaf Spot
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**Validation Accuracy:** 0.8872
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## Training Configuration
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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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Healthy,1.0,0.
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Bean Rust,0.
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Angular Leaf Spot,1.0,0.
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accuracy,0.
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macro avg,0.
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weighted avg,0.
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,precision,recall,f1-score,support
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Healthy,1.0,0.75,0.8571428571428571,44.0
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Bean Rust,0.75,1.0,0.8571428571428571,45.0
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Angular Leaf Spot,1.0,0.9090909090909091,0.9523809523809523,44.0
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accuracy,0.8872180451127819,0.8872180451127819,0.8872180451127819,0.8872180451127819
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macro avg,0.9166666666666666,0.8863636363636364,0.8888888888888888,133.0
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weighted avg,0.9154135338345865,0.8872180451127819,0.8886501969208735,133.0
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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 44792395
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fef553f0983ce9f1df8ba14aeebb2baf0716b3d812b44d7f110aba1968fb990
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size 44792395
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