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@@ -12,13 +12,13 @@ base_model: microsoft/deberta-v3-large
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  inference: false
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  ---
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- # Training Dataset
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  This was trained on the [UtkMl's Twitter Spam Detection dataset](https://www.kaggle.com/c/twitter-spam/overview).
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- # Metrics
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  Based on a 80-10-10 train-val-test split, the following results were obtained on the test set:
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  - Accuracy: 0.9779
 
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  inference: false
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  ---
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+ This model aims to detect potential spams on X (formely Twitter), classifying Tweets into 'Spam' (1) or 'Quality' (0).
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+ ## Training Dataset
 
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  This was trained on the [UtkMl's Twitter Spam Detection dataset](https://www.kaggle.com/c/twitter-spam/overview).
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+ ## Metrics
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  Based on a 80-10-10 train-val-test split, the following results were obtained on the test set:
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  - Accuracy: 0.9779