Sentence Pair Classification on BQ Corpus (test)
86AccuracyChineseBERT
Evaluation results
| Method | Links | |
|---|---|---|
| ChineseBERTModel Scale=Large, Pre-trained on extended data=false2021.06 | 86 | |
| ROBERTa-wwm-ext-largemodel size=large2020.04 | 85.8 | |
| RoBERTaModel Scale=Large, Pre-trained on extended data=true2021.06 | 85.8 | |
| RoBERTa-wwm-ext-largeModel Size=large, Whole Word Masking=true, Extended Training=true2019.06 | 85.8 | |
| MacBERT-largemodel size=large2020.04 | 85.6 | |
| MacBERTModel Scale=Large, Pre-trained on extended data=false2021.06 | 85.6 | |
| MacBERT-largeModel Size=large2019.06 | 85.6 | |
| BERT-wwm-extmodel size=base2020.04 | 85.3 | |
| BERTModel Scale=Base, Pre-trained on extended data=true2021.06 | 85.3 | |
| BERT-wwm-extModel Size=base, Whole Word Masking=true, Extended Training=true2019.06 | 85.3 | |
| BERT-wwmmodel size=base2020.04 | 85.2 | |
| MacBERT-basemodel size=base2020.04 | 85.2 | |
| BERTModel Scale=Base, Pre-trained on extended data=false2021.06 | 85.2 | |
| MacBERTModel Scale=Base, Pre-trained on extended data=false2021.06 | 85.2 | |
| ChineseBERTModel Scale=Base, Pre-trained on extended data=false2021.06 | 85.2 | |
| BERT-wwmModel Size=base, Whole Word Masking=true2019.06 | 85.2 | |
| MacBERT-baseModel Size=base2019.06 | 85.2 | |
| ELECTRA-largemodel size=large2020.04 | 85.1 | |
| ELECTRA-largeModel Size=large2019.06 | 85.1 | |
| ROBERTa-wwm-extmodel size=base2020.04 | 85 | |
| ERNIEModel Scale=Base, Pre-trained on extended data=false2021.06 | 85 | |
| RoBERTaModel Scale=Base, Pre-trained on extended data=true2021.06 | 85 | |
| RoBERTa-wwm-extModel Size=base, Whole Word Masking=true, Extended Training=true2019.06 | 85 | |
| BERTmodel size=base2020.04 | 84.8 | |
| BERTModel Size=base2019.06 | 84.8 | |
| ELECTRA-basemodel size=base2020.04 | 84.5 | |
| ELECTRA-baseModel Size=base2019.06 | 84.5 |