Text Classification on TNEWS CLUE (test)
59.47AccuracyChineseBERT
Evaluation Results
| Method | Links | |
|---|---|---|
| ChineseBERTModel Scale=Large, Pre-train Data=Standard2021.06 | 59.47 | |
| ChineseBERTModel Scale=Base, Pre-train Data=Standard2021.06 | 58.95 | |
| RoBERTaModel Scale=Large, Pre-train Data=Extended2021.06 | 58.61 | |
| ERNIEModel Scale=Base, Pre-train Data=Standard2021.06 | 58.33 | |
| RoBERTaModel Scale=Base, Pre-train Data=Extended2021.06 | 56.94 | |
| BERTModel Scale=Base, Pre-train Data=Extended2021.06 | 56.86 | |
| BERTModel Scale=Base, Pre-train Data=Standard2021.06 | 56.58 | |
| Unified PPTTuning Mode=Prompt tuning, Parameters=410K2021.09 | 50.6 | |
| FTTuning Mode=Full-model tuning, Parameters=11B2021.09 | 43.2 | |
| PTTuning Mode=Prompt tuning, Parameters=410K2021.09 | 41.2 | |
| PT (MC)Tuning Mode=Prompt tuning, Format=Multiple-choice classification format without prompt pre-training2021.09 | 11.8 |