Sentiment Classification on dianping (test)
0.0464Error 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 | 0.0464 | |
| XLM_ft (UDA+Self)Base Model=XLM_ft, Train Protocol=UDA+Self, Unlabeled=true2019.09 | 0.048 | |
| XLM_ft (UDA)Base Model=XLM_ft, Train Protocol=UDA, Unlabeled=true2019.09 | 0.0521 | |
| XLM_ft (Ft)Base Model=XLM_ft, Train Protocol=Ft, Unlabeled=true2019.09 | 0.0615 | |
| XLM (UDA+Self)Base Model=XLM, Train Protocol=UDA+Self, Unlabeled=true2019.09 | 0.078 | |
| XLM (UDA)Base Model=XLM, Train Protocol=UDA, Unlabeled=true2019.09 | 0.0837 | |
| XLM (Monolingual Baseline, Ft)Base Model=XLM, Setup=Monolingual, Train Protocol=Ft, Unlabeled=false2019.09 | 0.0873 | |
| XLM (Ft)Base Model=XLM, Train Protocol=Ft, Unlabeled=false2019.09 | 0.1266 |