Sentiment Classification on Yelp P.
91.82AccuracySFT
Evaluation Results
| Method | Links | |
|---|---|---|
| SFTBackbone=RoBERTa_LARGE, Samples per class=162025.06 | 91.82 | |
| FoTBackbone=RoBERTa_LARGE, Samples per class=16, Pre-trained prompt=false2025.06 | 91.5 | |
| SecP-TuningBackbone=RoBERTa_LARGE, Samples per class=162025.06 | 85.23 | |
| Prompt TuningBackbone=RoBERTa_LARGE, Samples per class=16, Pre-trained prompt=false2025.06 | 61.02 |