Topic Classification on AG News original (test)
95.5AccuracyFine-tuning*
Evaluation Results
| Method | Links | |
|---|---|---|
| Fine-tuning*Backbone=RoBERTa-large, Setting=Supervised2023.05 | 95.5 | |
| SSTuning-ALBERTBackbone=ALBERT-xxlarge, Labeled=false, Setting=Zero-shot2023.05 | 85.5 | |
| UniMC (Rerun)Backbone=ALBERT-xxlarge, Labeled=true, Setting=Zero-shot2023.05 | 84.3 | |
| SSTuning-largeBackbone=RoBERTa-large, Labeled=false, Setting=Zero-shot2023.05 | 83.7 | |
| UniMC*Backbone=ALBERT-xxlarge, Labeled=true, Setting=Zero-shot2023.05 | 81.3 | |
| SSTuning-baseBackbone=RoBERTa-base, Labeled=false, Setting=Zero-shot2023.05 | 79.9 | |
| TE-WikiBackbone=BERT-base, Setting=Zero-shot2023.05 | 79.4 | |
| Mining-based*Backbone=RoBERTa-large, Labeled=false, Setting=Zero-shot2023.05 | 79.2 | |
| TE-MNLIBackbone=RoBERTa-large, Labeled=true, Setting=Zero-shot2023.05 | 77.6 | |
| TE-MNLIBackbone=BART-large, Labeled=true, Setting=Zero-shot2023.05 | 74.8 | |
| Prompting*Backbone=RoBERTa-large, Setting=Zero-shot2023.05 | 54.6 |