Sentiment Classification on Code-mixed (CM) (test)
68.92Macro-F1XLM-R Trilingual
Evaluation results
| Method | Links | |
|---|---|---|
| XLM-R TrilingualTrain=CM2026.03 | 68.92 | |
| XLM-R Trilingual –w/o AlignmentTrain=CM2026.03 | 68.39 | |
| XLM-RTrain=CM2026.03 | 65.71 | |
| mBERT Trilingual –w/o AlignmentTrain=CM2026.03 | 65.37 | |
| XLM-R Trilingual –w/o AlignmentTrain=HI2026.03 | 63.23 | |
| mBERT TrilingualTrain=CM2026.03 | 62.9 | |
| XLM-R TrilingualTrain=HI2026.03 | 62.49 | |
| XLM-RTrain=HI2026.03 | 61.02 | |
| mBERT Trilingual –w/o AlignmentTrain=HI2026.03 | 55.75 | |
| mBERT TrilingualTrain=HI2026.03 | 54.6 | |
| mBERT TrilingualTrain=EN2026.03 | 53.33 | |
| mBERT Trilingual –w/o AlignmentTrain=EN2026.03 | 52.86 | |
| mBERTTrain=CM2026.03 | 51.92 | |
| XLM-R TrilingualTrain=EN2026.03 | 49.7 | |
| mBERTTrain=HI2026.03 | 49.62 | |
| XLM-R Trilingual –w/o AlignmentTrain=EN2026.03 | 48.98 | |
| XLM-RTrain=EN2026.03 | 45.89 | |
| mBERTTrain=EN2026.03 | 41.96 |