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:** 0.9023
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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,1.0,0.7727272727272727,0.8717948717948718,44.0
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Bean Rust,0.7758620689655172,1.0,0.8737864077669902,45.0
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Angular Leaf Spot,1.0,0.9318181818181818,0.9647058823529412,44.0
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accuracy,0.9022556390977443,0.9022556390977443,0.9022556390977443,0.9022556390977443
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macro avg,0.9252873563218391,0.9015151515151515,0.9034290539716011,133.0
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weighted avg,0.9241638579206638,0.9022556390977443,0.9032061769324686,133.0
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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 sha256:51d514069813572bd7c242f17108e7981478631b25cd00b9679bea74f35af460
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size 44792395
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