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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](https://github.com/google-research/bert). These BERT variants were introduced in the paper [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://arxiv.org/abs/1908.08962). These models are trained on MNLI.
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```
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MNLI: 60%
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MNLI-mm: 61.61%
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```
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These models were trained for 4 epochs.
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[@prajjwal_1](https://twitter.com/prajjwal_1)
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