Sentiment classification on amazon-cn (test)
7.74Error RateXLM_ft (Monolingual Baseline, UDA)
Evaluation Results
| Method | Links | |
|---|---|---|
| XLM_ft (Monolingual Baseline, UDA)Base Model=XLM_ft, Setup=Monolingual, Train Protocol=UDA, Unlabeled=true2019.09 | 7.74 | |
| XLM_ft (UDA+Self)Base Model=XLM_ft, Train Protocol=UDA+Self, Unlabeled=true2019.09 | 9.46 | |
| XLM (UDA+Self)Base Model=XLM, Train Protocol=UDA+Self, Unlabeled=true2019.09 | 11.19 | |
| XLM_ft (Ft)Base Model=XLM_ft, Train Protocol=Ft, Unlabeled=true2019.09 | 11.32 | |
| XLM (Monolingual Baseline, Ft)Base Model=XLM, Setup=Monolingual, Train Protocol=Ft, Unlabeled=false2019.09 | 11.69 | |
| XLM (UDA)Base Model=XLM, Train Protocol=UDA, Unlabeled=true2019.09 | 11.92 | |
| XLM_ft (UDA)Base Model=XLM_ft, Train Protocol=UDA, Unlabeled=true2019.09 | 11.92 | |
| XLM (Ft)Base Model=XLM, Train Protocol=Ft, Unlabeled=false2019.09 | 15.5 |