Sentiment Analysis on Amazon Music -> SST-2 15 mins annotation (test)
92.9Source F1Source model
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Source modelBackbone=BERT-Large2021.03 | 92.9 | 87.7 | |
| REMOTE (Rsoft)Backbone=BERT-Large2021.03 | 92.7 | 89.4 | |
| REMOTE (Rsoft + Cstrict)Backbone=BERT-Large2021.03 | 92.7 | 90.3 | |
| Fine-tune (Call)Backbone=BERT-Large2021.03 | 92.5 | 94.4 | |
| Source modelBackbone=RoBERTa-Base2021.03 | 92.4 | 87.5 | |
| REMOTE (Rsoft)Backbone=RoBERTa-Base2021.03 | 92 | 88.5 | |
| Distillation (Csample)Backbone=BERT-Large2021.03 | 91.9 | 89.4 | |
| Fine-tune (Csample)Backbone=BERT-Large2021.03 | 91.4 | 88.5 | |
| REMOTE (Rsoft + Cstrict)Backbone=RoBERTa-Base2021.03 | 91.4 | 89.5 | |
| Distillation (Csample)Backbone=RoBERTa-Base2021.03 | 91.3 | 89.1 | |
| Fine-tune (Call)Backbone=RoBERTa-Base2021.03 | 91.2 | 95.1 | |
| Fine-tune (Csample)Backbone=RoBERTa-Base2021.03 | 91 | 89 | |
| L2-reg. (Csample)Backbone=RoBERTa-Base2021.03 | 90.9 | 89 | |
| L2-reg. (Csample)Backbone=BERT-Large2021.03 | 90.5 | 88.9 |