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typo (#11858)
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@ -45,7 +45,7 @@ python run_glue.py \
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where task name can be one of cola, sst2, mrpc, stsb, qqp, mnli, qnli, rte, wnli.
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We get the following results on the dev set of the benchmark with the previous commands (with an exception for MRPC and
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WNLI which are tiny and where we used 5 epochs isntead of 3). Trainings are seeded so you should obtain the same
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WNLI which are tiny and where we used 5 epochs instead of 3). Trainings are seeded so you should obtain the same
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results with PyTorch 1.6.0 (and close results with different versions), training times are given for information (a
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single Titan RTX was used):
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