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@@ -39,10 +39,9 @@ Note that some concepts in the test set were not available in the train and vali
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  Here we use several metrics for classification tasks including macro-average F1, precision, recall and Matthew correlation.
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  ### Results
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- {'f1': 0.63101050849362,
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- 'precision': 0.6714479559316552,
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- 'recall': 0.6145681950682534,
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- 'matthews_correlation': 0.7203455851532575}
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  ## Model Card Contact
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  Feel free to reach out to me at [email protected] if you have any question or suggestion.
 
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  Here we use several metrics for classification tasks including macro-average F1, precision, recall and Matthew correlation.
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  ### Results
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+ {'f1': 0.6282171983322534,
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+ 'precision': 0.6449102548010544,
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+ 'recall': 0.6123665141113653}
 
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  ## Model Card Contact
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  Feel free to reach out to me at [email protected] if you have any question or suggestion.