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mshenoda
/
roberta-spam

Text Classification
Transformers
PyTorch
Safetensors
English
roberta
Model card Files
xet
 Community
3
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Update README.md

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@@ -28,7 +28,7 @@ Spam messages frequently carry malicious links or phishing attempts posing signi
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  Your feedback is important and would help keep this relevent.
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  ## Metrics
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- Loss | Accuracy(0.9906) | Precision(0.9971) / Recall(0.9934) | Confusion Matrix
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  :-------------------------:|:-------------------------:|:-------------------------:|:-------------------------:
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  ![](plots/train_validation_loss.jpg "Train / Validation Loss") Train / Validation | ![](plots/validation_accuracy.jpg "Validation Accuracy") Validation | ![](plots/validation_precision_recall.jpg "Validation Precision / Recall") Validation | ![](plots/confusion_matrix.png "confusion_matrix") Testing Set
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  Your feedback is important and would help keep this relevent.
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  ## Metrics
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+ Loss | Accuracy(99.06%) | Precision(99.71%) / Recall(99.34%) | Confusion Matrix
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  :-------------------------:|:-------------------------:|:-------------------------:|:-------------------------:
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  ![](plots/train_validation_loss.jpg "Train / Validation Loss") Train / Validation | ![](plots/validation_accuracy.jpg "Validation Accuracy") Validation | ![](plots/validation_precision_recall.jpg "Validation Precision / Recall") Validation | ![](plots/confusion_matrix.png "confusion_matrix") Testing Set
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