Example
from sentence_transformers import CrossEncoder
model = CrossEncoder('ddobokki/electra-small-sts-cross-encoder')
model.predict(["그녀는 행복해서 웃었다.", "그녀는 웃겨서 눈물이 났다."])
-> 0.8206561
Dataset
- KorSTS
- Train
- Test
- KLUE STS
- Train
- Test
Performance
| Dataset | Pearson corr. | Spearman corr. |
|---|---|---|
| KorSTS(test) + KLUE STS(test) | 0.8528 | 0.8504 |
TODO
Using KLUE 1.1 train, dev data
