Sentence Classification on MR full (test)
92.5AccuracyEFL
Evaluation results
| Method | Links | |
|---|---|---|
| EFLTraining setup=Full training dataset, Backbone=RoBERTa-large2021.04 | 92.5 | |
| Fine-tuningTraining setup=Full training dataset, Backbone=RoBERTa-large2021.04 | 91.6 | |
| EFLTraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.04 | 86.2 | |
| LM-BFFTraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.04 | 85.4 | |
| Stilts-CloseTraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.04 | 81.9 | |
| Stilts-NLITraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.04 | 63.3 | |
| Fine-tuningTraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.04 | 60.3 | |
| EFL wo PTTraining setup=Few-shot, K (samples per class)=8, Backbone=RoBERTa-large2021.04 | 55.1 | |
| MajorityTraining setup=Full training dataset2021.04 | 50 |