Sentiment Analysis on MTEB Multilingual Sentiment Classification (Korean XLMR-large, test)
88.56Accuracy (ko)Skyline
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SkylinePre-trained Model=XLMR-large2026.04 | 88.56 | 89.02 | |
| Baseline-TTPre-trained Model=XLMR-large2026.04 | 86.2 | 93.96 | |
| XITE-reg-regPre-trained Model=XLMR-large2026.04 | 83.69 | 93.41 | |
| XITE-reg-ldaPre-trained Model=XLMR-large2026.04 | 83.58 | 91.87 | |
| Baseline-PSPre-trained Model=XLMR-large2026.04 | 71.17 | 60.35 | |
| Baseline-KDPre-trained Model=XLMR-large2026.04 | 13.91 | 10.87 |