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electra-small-sts-cross-encoder
ddobokki/electra-small-sts-cross-encoder
electra-small-sts-cross-encoder is a text ranking model from ddobokki. Use it for the text ranking task on the model card, and read the license before you ship it in a product. It is set up for sentence-transformers.
- KorSTS - Train - Test - KLUE STS - Train - Test
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.bin56.6 MB · 50%
Parameter types
How the weights are stored.
F3214.1M · 100%
Model card
From the Hugging Face model README
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
- Task
- Text Ranking
- Library
- sentence-transformers
- Type
- electra
- Languages
- ko
- Created
- May 31, 2022
- Updated
- Apr 3, 2025