transformers/model_cards/canwenxu/BERT-of-Theseus-MNLI

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BERT-of-Theseus

See our paper "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing".

BERT-of-Theseus is a new compressed BERT by progressively replacing the components of the original BERT.

Load Pretrained Model on MNLI

We provide a 6-layer pretrained model on MNLI as a general-purpose model, which can transfer to other sentence classification tasks, outperforming DistillBERT (with the same 6-layer structure) on six tasks of GLUE (dev set).

Method	MNLI	MRPC	QNLI	QQP	RTE	SST-2	STS-B
BERT-base	83.5	89.5	91.2	89.8	71.1	91.5	88.9
DistillBERT	79.0	87.5	85.3	84.9	59.9	90.7	81.2
BERT-of-Theseus	82.1	87.5	88.8	88.8	70.1	91.8	87.8