Sentiment Analysis on SST-2 original (test)
95.9AccuracyFine-tuning*
Evaluation results
| Method | Links | |
|---|---|---|
| Fine-tuning*Backbone=RoBERTa-large, Setting=Supervised2023.05 | 95.9 | |
| UniMC*Backbone=ALBERT-xxlarge, Labeled=true, Setting=Zero-shot2023.05 | 91.6 | |
| SSTuning-ALBERTBackbone=ALBERT-xxlarge, Labeled=false, Setting=Zero-shot2023.05 | 90.8 | |
| UniMC (Rerun)Backbone=ALBERT-xxlarge, Labeled=true, Setting=Zero-shot2023.05 | 90.1 | |
| SSTuning-largeBackbone=RoBERTa-large, Labeled=false, Setting=Zero-shot2023.05 | 90.1 | |
| TE-MNLIBackbone=RoBERTa-large, Labeled=true, Setting=Zero-shot2023.05 | 89.6 | |
| TE-MNLIBackbone=BART-large, Labeled=true, Setting=Zero-shot2023.05 | 89 | |
| SSTuning-baseBackbone=RoBERTa-base, Labeled=false, Setting=Zero-shot2023.05 | 86.4 | |
| Mining-based*Backbone=RoBERTa-large, Labeled=false, Setting=Zero-shot2023.05 | 85.6 | |
| Prompting*Backbone=RoBERTa-large, Setting=Zero-shot2023.05 | 81.9 | |
| TE-WikiBackbone=BERT-base, Setting=Zero-shot2023.05 | 57.3 |