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  license: mit
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  datasets:
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  - stereoset
 
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  language:
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  - en
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  metrics:
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- - seqeval
 
 
 
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  ---
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  # Multidimensional Token-Level Bias Classifier
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  ## Limitations and Bias
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- While the model is designed to detect bias, it may not be perfect in its detections due to the complexities and subtleties of language. Biases detected by the model do not represent endorsement of these biases. The model may also misclassify some tokens due to the limitation of BERT's WordPiece tokenization approach.
 
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  license: mit
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  datasets:
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  - stereoset
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+ - crows_pairs
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  language:
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  - en
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  metrics:
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+ - f1
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+ - recall
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+ - precision
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+ - accuracy
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  ---
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  # Multidimensional Token-Level Bias Classifier
 
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  ## Limitations and Bias
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+ While the model is designed to detect bias, it may not be perfect in its detections due to the complexities and subtleties of language. Biases detected by the model do not represent endorsement of these biases. The model may also misclassify some tokens due to the limitation of BERT's WordPiece tokenization approach.