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Updated MRPC results
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@ -166,7 +166,7 @@ python run_classifier.py \
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--output_dir /tmp/mrpc_output/
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```
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Our test ran on a few seeds with [the original implementation hyper-parameters](https://github.com/google-research/bert#sentence-and-sentence-pair-classification-tasks) gave evaluation results between 82 and 87.
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Our test ran on a few seeds with [the original implementation hyper-parameters](https://github.com/google-research/bert#sentence-and-sentence-pair-classification-tasks) gave evaluation results between 84% and 88%.
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The second example fine-tunes `BERT-Base` on the SQuAD question answering task.
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