Sentiment Classification on SST-2 (32 samples)
94.4AccuracyUnified PPT
Evaluation Results
| Method | Links | |
|---|---|---|
| Unified PPTModel Backbone=T5-XXL, Tuning Strategy=Prompt Tuning, Parameters=410K2021.09 | 94.4 | |
| Hybrid PPTModel Backbone=T5-XXL, Tuning Strategy=Prompt Tuning, Parameters=410K2021.09 | 93.8 | |
| PPTModel Backbone=T5-XXL, Tuning Strategy=Prompt Tuning, Parameters=410K2021.09 | 93.5 | |
| T5-XXLTuning Strategy=Full-model Tuning, Parameters=~11B2021.09 | 91.4 | |
| T5-XLTuning Strategy=Full-model Tuning, Parameters=~11B2021.09 | 89.6 | |
| T5-LargeTuning Strategy=Full-model Tuning, Parameters=~11B2021.09 | 89.1 | |
| Hybrid PTModel Backbone=T5-XXL, Tuning Strategy=Prompt Tuning, Parameters=410K2021.09 | 87.6 | |
| LM AdaptionModel Backbone=T5-XXL, Tuning Strategy=Prompt Tuning, Parameters=410K2021.09 | 77.6 | |
| T5-BaseTuning Strategy=Full-model Tuning, Parameters=~11B2021.09 | 74.6 | |
| T5-SmallTuning Strategy=Full-model Tuning, Parameters=~11B2021.09 | 72.8 | |
| Vanilla PTModel Backbone=T5-XXL, Tuning Strategy=Prompt Tuning, Parameters=410K2021.09 | 70.5 |