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Sentence Pair Classification on LCQMC (dev)

0.907Accuracy (max)ELECTRA
0.887240.892370.89750.90263Mar 14, 2022Apr 23, 2022Jun 2, 2022Jul 12, 2022Aug 21, 2022Sep 30, 2022Nov 10, 2022

Evaluation results

MethodLinks
ELECTRAScale=large2022.030.907—0.904
ELECTRAModel size=large2022.110.907—0.904
MacBERTScale=large2022.030.906—0.903
MacBERTModel size=large2022.110.906—0.903
RoBERTaScale=large2022.030.904—0.9
RoBERTaModel size=large2022.110.904—0.9
ELECTRAScale=base2022.030.902—0.898
ELECTRAModel size=base2022.110.902—0.898
LERTModel size=large2022.110.902—0.9
PERTScale=large2022.030.9—0.897
PERTModel size=large2022.110.9—0.897
BERTScale=base2022.030.896—0.892
BERTModel size=base2022.110.896—0.892
MacBERTScale=base2022.030.895—0.893
MacBERTModel size=base2022.110.895—0.893
LERTModel size=base2022.110.895—0.892
RoBERTaScale=base2022.030.89—0.887
RoBERTaModel size=base2022.110.89—0.887
PERTScale=base2022.030.888—0.883
PERTModel size=base2022.110.888—0.883
BERTModel Size=base2019.06—0.894—
BERT-wwmModel Size=base, Whole Word Masking=true2019.06—0.894—
BERT-wwm-extModel Size=base, Whole Word Masking=true, Extended Training=true2019.06—0.896—
ELECTRA-baseModel Size=base2019.06—0.902—
ELECTRA-largeModel Size=large2019.06—0.907—
MacBERT-baseModel Size=base2019.06—0.895—
MacBERT-largeModel Size=large2019.06—0.906—
RoBERTa-wwm-extModel Size=base, Whole Word Masking=true, Extended Training=true2019.06—0.89—
RoBERTa-wwm-ext-largeModel Size=large, Whole Word Masking=true, Extended Training=true2019.06—0.904—