Text Classification on BQ Corpus (test)
85.8Max AccuracyRoBERTa
Evaluation results
| Method | Links | ||
|---|---|---|---|
| RoBERTaScale=large2022.03 | 85.8 | 84.9 | |
| RoBERTaModel size=large2022.11 | 85.8 | 84.9 | |
| MacBERTScale=large2022.03 | 85.6 | 85 | |
| MacBERTModel size=large2022.11 | 85.6 | 85 | |
| BERTScale=base2022.03 | 85.3 | 84.8 | |
| MacBERTScale=base2022.03 | 85.2 | 84.9 | |
| MacBERTModel size=base2022.11 | 85.2 | 84.9 | |
| ELECTRAScale=large2022.03 | 85.1 | 84.8 | |
| LERTModel size=base2022.11 | 85.1 | 84.9 | |
| ELECTRAModel size=large2022.11 | 85.1 | 84.8 | |
| LERTModel size=large2022.11 | 85.1 | 84.7 | |
| RoBERTaScale=base2022.03 | 85 | 84.6 | |
| PERTScale=large2022.03 | 85 | 84.8 | |
| BERTModel size=base2022.11 | 85 | 84.6 | |
| RoBERTaModel size=base2022.11 | 85 | 84.6 | |
| PERTModel size=large2022.11 | 85 | 84.8 | |
| ELECTRAScale=base2022.03 | 84.5 | 84 | |
| ELECTRAModel size=base2022.11 | 84.5 | 84 | |
| PERTScale=base2022.03 | 84.3 | 84.1 | |
| PERTModel size=base2022.11 | 84.3 | 84.1 |