Text Classification on TNEWS CLUE (dev)
59Accuracy (Max)MacBERT
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MacBERTScale=large2022.03 | 59 | — | 58.8 | |
| MacBERTModel size=large2022.11 | 59 | — | 58.8 | |
| RoBERTaScale=large2022.03 | 58.8 | — | 58.4 | |
| RoBERTaModel size=large2022.11 | 58.8 | — | 58.4 | |
| LERTModel size=large2022.11 | 58.7 | — | 58.5 | |
| LERTModel size=base2022.11 | 57.5 | — | 57.1 | |
| RoBERTaScale=base2022.03 | 57.4 | — | 56.9 | |
| MacBERTScale=base2022.03 | 57.4 | — | 57.1 | |
| PERTScale=large2022.03 | 57.4 | — | 57.2 | |
| RoBERTaModel size=base2022.11 | 57.4 | — | 56.9 | |
| MacBERTModel size=base2022.11 | 57.4 | — | 57.1 | |
| PERTModel size=large2022.11 | 57.4 | — | 57.2 | |
| ELECTRAScale=large2022.03 | 57.2 | — | 56.9 | |
| ELECTRAModel size=large2022.11 | 57.2 | — | 56.9 | |
| BERTScale=base2022.03 | 57 | — | 56.6 | |
| BERTModel size=base2022.11 | 57 | — | 56.6 | |
| PERTScale=base2022.03 | 56.7 | — | 56.1 | |
| PERTModel size=base2022.11 | 56.7 | — | 56.1 | |
| ELECTRAScale=base2022.03 | 56.1 | — | 55.7 | |
| ELECTRAModel size=base2022.11 | 56.1 | — | 55.7 | |
| BERTModel Scale=Base, Pre-train Data=Standard2021.06 | — | 56.09 | — | |
| BERTModel Scale=Base, Pre-train Data=Extended2021.06 | — | 56.77 | — | |
| ChineseBERTModel Scale=Base, Pre-train Data=Standard2021.06 | — | 58.64 | — | |
| ChineseBERTModel Scale=Large, Pre-train Data=Standard2021.06 | — | 59.06 | — | |
| ERNIEModel Scale=Base, Pre-train Data=Standard2021.06 | — | 58.24 | — | |
| RoBERTaModel Scale=Base, Pre-train Data=Extended2021.06 | — | 57.51 | — | |
| RoBERTaModel Scale=Large, Pre-train Data=Extended2021.06 | — | 58.32 | — |