bert-mini-mnli / README.md
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The following model is a Pytorch pre-trained model obtained from converting Tensorflow checkpoint found in the official Google BERT repository. These BERT variants were introduced in the paper Well-Read Students Learn Better: On the Importance of Pre-training Compact Models. These models are trained on MNLI.

MNLI: 68.04%
MNLI-mm: 69.17%

These models were trained for 4 epochs.

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