Modelpublic

ddobokki/electra-small-sts-cross-encoder

sourceHugging Faceupdated 1y agoView on Hugging Face

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Model Card

Example

python

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