Machine Reading Comprehension on CMRC Simplified Chinese 2018 (dev)
72.2EMPERT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PERTModel Size=large2022.03 | 72.2 | 89.4 | |
| MacBERT-largeModel Size=large2019.06 | 70.7 | 88.9 | |
| MacBERTModel Size=large2022.03 | 70.7 | 88.9 | |
| ELECTRA-largeModel Size=large2019.06 | 69.1 | 85.2 | |
| ELECTRAModel Size=large2022.03 | 69.1 | 85.2 | |
| MacBERT-baseModel Size=base2019.06 | 68.5 | 87.9 | |
| ROBERTa-wwm-ext-largeModel Size=large2019.06 | 68.5 | 88.4 | |
| MacBERTModel Size=base2022.03 | 68.5 | 87.9 | |
| PERTModel Size=base2022.03 | 68.5 | 87.2 | |
| RoBERTaModel Size=large2022.03 | 68.5 | 88.4 | |
| ELECTRA-baseModel Size=base2019.06 | 68.4 | 84.8 | |
| ELECTRAModel Size=base2022.03 | 68.4 | 84.8 | |
| ROBERTa-wwm-extModel Size=base2019.06 | 67.4 | 87.2 | |
| RoBERTaModel Size=base2022.03 | 67.4 | 87.2 | |
| BERT-wwm-extModel Size=base2019.06 | 67.1 | 85.7 | |
| BERTModel Size=base2022.03 | 67.1 | 85.7 | |
| BERT-wwmModel Size=base2019.06 | 66.3 | 85.6 | |
| BERTModel Size=base2019.06 | 65.5 | 84.5 |