Machine Reading Comprehension on CJRC (test)
67EMChineseBERT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ChineseBERTModel scale=Large2021.06 | 67 | 78.3 | |
| RoBERTaModel scale=Large, Pre-trained on extended data=true2021.06 | 66.4 | 77.6 | |
| ChineseBERTModel scale=Base2021.06 | 66.2 | 77.9 | |
| RoBERTaModel scale=Base, Pre-trained on extended data=true2021.06 | 63.8 | 76.6 | |
| MacBERT-largeSize=Large2020.04 | 62.9 | 82.5 | |
| RoBERTa-wwm-ext-LSize=Large2020.04 | 62.4 | 82.2 | |
| ELECTRA-largeSize=Large2020.04 | 62.3 | 82 | |
| BERTModel scale=Base, Pre-trained on extended data=true2021.06 | 61.4 | 73.9 | |
| MacBERT-baseSize=Base2020.04 | 60.3 | 79.8 | |
| BERTModel scale=Base, Pre-trained on extended data=false2021.06 | 60.2 | 73 | |
| ELECTRA-baseSize=Base2020.04 | 59.3 | 79.4 | |
| RoBERTa-wwm-extSize=Base2020.04 | 59 | 79 | |
| BERT-wwm-extSize=Base2020.04 | 55.6 | 75.8 | |
| BERTSize=Base2020.04 | 55.1 | 75.2 | |
| BERT-wwmSize=Base2020.04 | 55.1 | 75.4 |