Text Classification on OCNLI (dev)
79.4Max AccuracyLERT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LERTModel size=large2022.11 | 79.4 | 78.9 | |
| MacBERTScale=large2022.03 | 79 | 78.7 | |
| MacBERTModel size=large2022.11 | 79 | 78.7 | |
| ELECTRAScale=large2022.03 | 78.8 | 78.4 | |
| ELECTRAModel size=large2022.11 | 78.8 | 78.4 | |
| RoBERTaScale=large2022.03 | 78.5 | 78.2 | |
| RoBERTaModel size=large2022.11 | 78.5 | 78.2 | |
| LERTModel size=base2022.11 | 78.2 | 77.5 | |
| PERTScale=large2022.03 | 78.1 | 77.8 | |
| PERTModel size=large2022.11 | 78.1 | 77.8 | |
| MacBERTScale=base2022.03 | 77 | 76.5 | |
| MacBERTModel size=base2022.11 | 77 | 76.5 | |
| RoBERTaScale=base2022.03 | 76.5 | 76 | |
| RoBERTaModel size=base2022.11 | 76.5 | 76 | |
| ELECTRAScale=base2022.03 | 76.1 | 75.8 | |
| ELECTRAModel size=base2022.11 | 76.1 | 75.8 | |
| BERTScale=base2022.03 | 76 | 75.3 | |
| BERTModel size=base2022.11 | 76 | 75.3 | |
| PERTScale=base2022.03 | 75.3 | 74.8 | |
| PERTModel size=base2022.11 | 75.3 | 74.8 |