readme: ---
  language:
    - ko
  tags:
  - sentence_transformers
  - cross_encoder
  ---
  
  # 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
  
  
  