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Updated MRPC results

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Thomas Wolf
2018-11-08 00:39:42 +01:00
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@@ -166,7 +166,7 @@ python run_classifier.py \
--output_dir /tmp/mrpc_output/ --output_dir /tmp/mrpc_output/
``` ```
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. 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%.
The second example fine-tunes `BERT-Base` on the SQuAD question answering task. The second example fine-tunes `BERT-Base` on the SQuAD question answering task.