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Machine Reading Comprehension on CMRC 2018 (dev)

72.2EMPERT
64.81666.73368.6570.567Jul 29, 2019Feb 14, 2020Sep 1, 2020Mar 20, 2021Oct 6, 2021Apr 24, 2022Nov 10, 2022

Evaluation results

MethodLinks
PERTModel Size=large2022.1172.289.4
ERNIE 2.0Model Version=ERNIE 2.0, Model Scale=LARGE2019.0771.589.9
LERTModel Size=large2022.1171.289.5
MacBERT-largeSize=Large2020.0470.788.9
ChineseBERTModel Size=Large, Pre-training Data=Standard2021.0670.7—
MacBERTModel Size=large2022.1170.788.9
RoBERTaModel Size=Large, Pre-training Data=Extended2021.0670.59—
LERTModel Size=base2022.1169.288.1
ERNIE 2.0Model Version=ERNIE 2.0, Model Scale=BASE2019.0769.188.6
ELECTRA-largeSize=Large2020.0469.185.2
ELECTRAModel Size=large2022.1169.185.2
MacBERT-baseSize=Base2020.0468.587.9
RoBERTa-wwm-ext largeSize=Large2020.0468.588.4
MacBERTModel Size=base2022.1168.587.9
PERTModel Size=base2022.1168.587.2
RoBERTaModel Size=large2022.1168.588.4
ELECTRA-baseSize=Base2020.0468.484.8
ELECTRAModel Size=base2022.1168.484.8
ChineseBERTModel Size=Base, Pre-training Data=Standard2021.0667.95—
RoBERTaModel Size=Base, Pre-training Data=Extended2021.0667.89—
RoBERTa-wwm-extSize=Base2020.0467.487.2
RoBERTaModel Size=base2022.1167.487.2
BERT-wwm-extSize=Base2020.0467.185.7
BERTModel Size=base2022.1167.185.7
BERTModel Size=Base, Pre-training Data=Extended2021.0666.96—
ERNIEModel Size=Base, Pre-training Data=Standard2021.0666.89—
XLNet-midmodel size=mid2020.0466.888.4
BERTModel Size=Base, Pre-training Data=Standard2021.0666.77—
BERTModel Version=BERT, Model Scale=BASE2019.0766.385.9
BERT-wwmSize=Base2020.0466.385.6
BERTSize=Base2020.0465.584.5
BERTmodel size=base2020.0465.584.5
XLNet-basemodel size=base2020.0465.286.9
ERNIE 1.0Model Version=ERNIE 1.0, Model Scale=BASE2019.0765.185.1