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Sentiment Analysis on ChnSentiCorp (dev)

96.1AccuracyERNIE 2.0
93.70894.32994.9595.571Apr 19, 2019Aug 30, 2019Jan 11, 2020May 24, 2020Oct 5, 2020Feb 16, 2021Jun 30, 2021

Evaluation results

MethodLinks
ERNIE 2.0Model Version=ERNIE 2.0, Model Scale=LARGE2019.0796.1——
RoBERTa-wwm-extSize=Large, Whole Word Masking=True, extended=True2020.0495.8——
RoBERTaModel Scale=Large, Pre-train Data=Extended2021.0695.8——
ChineseBERTModel Scale=Large, Pre-train Data=Standard2021.0695.8——
RoBERTa-wwmModel Scale=Large2019.0695.8——
ERNIE 2.0Model Version=ERNIE 2.0, Model Scale=BASE2019.0795.7——
MacBERTSize=Large2020.0495.7——
MacBERTModel Scale=Large, Pre-train Data=Standard2021.0695.7——
MacBERTModel Scale=Large2019.0695.7——
ChineseBERTModel Scale=Base, Pre-train Data=Standard2021.0695.6——
BERT-wwm-extWhole Word Masking=True, extended=True2020.0495.4——
BERTModel Scale=Base, Pre-train Data=Standard2021.0695.4——
BERTModel Scale=Base, Pre-train Data=Extended2021.0695.4——
BERT-wwm-extModel Scale=Base2019.0695.4——
ERNIE2019.0495.2——
ERNIE 1.0Model Version=ERNIE 1.0, Model Scale=BASE2019.0795.2——
MacBERTSize=Base2020.0495.2——
ELECTRASize=Large2020.0495.2——
MacBERTModel Scale=Base, Pre-train Data=Standard2021.0695.2——
MacBERTModel Scale=Base2019.0695.2——
ELECTRAModel Scale=Large2019.0695.2——
BERT-wwmWhole Word Masking=True2020.0495.1——
ERNIEModel Scale=Base, Pre-train Data=Standard2021.0695.1——
BERT-wwmModel Scale=Base2019.0695.1——
RoBERTaModel Scale=Base, Pre-train Data=Extended2021.0695——
RoBERTa-wwm-extSize=Base, Whole Word Masking=True, extended=True2020.0494.9——
RoBERTa-wwmModel Scale=Base2019.0694.9——
BERTSize=Base2020.0494.7——
BERTModel Scale=Base2019.0694.7——
BERT2019.0494.6——
BERTModel Version=BERT, Model Scale=BASE2019.0794.6——
ELECTRASize=Base2020.0493.8——
ELECTRAModel Scale=Base2019.0693.8——
BERTScale=base2022.03—95.494.6
BERTModel size=base2022.11—95.494.6
ELECTRAScale=base2022.03—93.893
ELECTRAScale=large2022.03—95.294.6
ELECTRAModel size=base2022.11—93.893
ELECTRAModel size=large2022.11—95.294.6
LERTModel size=base2022.11—94.994.7
LERTModel size=large2022.11—95.694.9
MacBERTScale=base2022.03—95.294.8
MacBERTScale=large2022.03—95.795
MacBERTModel size=base2022.11—95.294.8
MacBERTModel size=large2022.11—95.795
PERTScale=base2022.03—9493.7
PERTScale=large2022.03—94.594
PERTModel size=base2022.11—9493.7
PERTModel size=large2022.11—94.594
RoBERTaScale=base2022.03—94.994.6
RoBERTaScale=large2022.03—95.894.9
RoBERTaModel size=base2022.11—95.394.8
RoBERTaModel size=large2022.11—95.894.9