

TITLE
WNLI benchmark results clarification

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The BERT paper mentions that the accuracy for WNLI is 62.3% [BERT Repository](https://github.com/google-research/bert) but the model card on HuggingFace reports the WNLI accuracy as  45.07%. Is there any particular for the big gap between the 2 models?