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Update evaluation results

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  1. README.md +3 -6
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@@ -194,12 +194,9 @@ learning rate warmup for 10,000 steps and linear decay of the learning rate afte
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  When fine-tuned on downstream tasks, this model achieves the following results:
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- Glue test results:
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- | Task | MNLI-(m/mm) | QQP | QNLI | SST-2 | CoLA | STS-B | MRPC | RTE | Average |
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- |:----:|:-----------:|:----:|:----:|:-----:|:----:|:-----:|:----:|:----:|:-------:|
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- | | 84.6/83.4 | 71.2 | 90.5 | 93.5 | 52.1 | 85.8 | 88.9 | 66.4 | 79.6 |
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  ### BibTeX entry and citation info
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  When fine-tuned on downstream tasks, this model achieves the following results:
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+ Model | SQUAD 1.1 F1/EM | Multi NLI Accuracy
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+ ---------------------------------------- | :-------------: | :----------------:
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+ BERT-Large, Uncased (Original) | 91.0/84.3 | 86.05
 
 
 
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  ### BibTeX entry and citation info
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