Text Classification on Yahoo! Answer (test)
75.66Macro F1Prompt-based FT (soft)
Evaluation Results
| Method | Links | |
|---|---|---|
| Prompt-based FT (soft)Number of labeled samples=full, Backbone=RoBERTa-Large2023.05 | 75.66 | |
| Prompt-based FT (hard)Number of labeled samples=full, Backbone=RoBERTa-Large2023.05 | 74.3 | |
| Prompt-based FT (hard) + PCPNumber of labeled samples=200, Backbone=RoBERTa-Large2023.05 | 70.22 | |
| Prompt-based FT (soft) + PCPNumber of labeled samples=200, Backbone=RoBERTa-Large2023.05 | 70.03 | |
| FIXMATCHNumber of labeled samples=200, Backbone=RoBERTa-Large2023.05 | 68.37 | |
| ADAMATCHNumber of labeled samples=200, Backbone=RoBERTa-Large2023.05 | 68.09 | |
| Prompt-based FT (soft)Number of labeled samples=200, Backbone=RoBERTa-Large2023.05 | 67.85 | |
| Prompt-based FT (hard)Number of labeled samples=200, Backbone=RoBERTa-Large2023.05 | 66.94 | |
| DASHNumber of labeled samples=200, Backbone=RoBERTa-Large2023.05 | 66.46 | |
| FLEXMATCHNumber of labeled samples=200, Backbone=RoBERTa-Large2023.05 | 66.43 | |
| Prompt-based FT (hard) + PCPNumber of labeled samples=40, Backbone=RoBERTa-Large2023.05 | 65.58 | |
| Prompt-based FT (soft) + PCPNumber of labeled samples=40, Backbone=RoBERTa-Large2023.05 | 65.26 | |
| ADAMATCHNumber of labeled samples=40, Backbone=RoBERTa-Large2023.05 | 63.68 | |
| FIXMATCHNumber of labeled samples=40, Backbone=RoBERTa-Large2023.05 | 61.56 | |
| Prompt-based FT (soft)Number of labeled samples=40, Backbone=RoBERTa-Large2023.05 | 61.18 | |
| Prompt-based FT (hard)Number of labeled samples=40, Backbone=RoBERTa-Large2023.05 | 60.63 | |
| DASHNumber of labeled samples=40, Backbone=RoBERTa-Large2023.05 | 60.07 | |
| FLEXMATCHNumber of labeled samples=40, Backbone=RoBERTa-Large2023.05 | 58.09 |