---
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