Update README.md

README.md

@@ -13,6 +13,24 @@ This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentence
 
 klue/bert-base 모델을 sentencebert로 파인튜닝한 모델
 
+## Evaluation Results
+
+- 성능 측정을 위한 말뭉치는,  아래 한국어 (kor), 영어(en)  평가 말뭉치를 이용함
+<br> 한국어 : **korsts(1,379쌍문장)** 와 **klue-sts(519쌍문장)** 
+<br> 영어 : [stsb_multi_mt](https://huggingface.co/datasets/stsb_multi_mt)(1,376쌍문장) 와 [glue:stsb](https://huggingface.co/datasets/glue/viewer/stsb/validation) (1,500쌍문장)
+- 성능 지표는 **cosin.spearman**
+- 평가 측정 코드는 [여기](https://github.com/kobongsoo/BERT/blob/master/sbert/sbert-test3.ipynb) 참조
+- 
+|모델     |korsts|klue-sts|glue(stsb)|stsb_multi_mt(en)|
+|:--------|------:|--------:|--------------:|------------:|
+|distiluse-base-multilingual-cased-v2   |0.7475    |0.7855    |0.8193           |0.8075|
+|paraphrase-multilingual-mpnet-base-v2  |0.8201    |0.7993    |0.8907           |0.8682|
+|bongsoo/albert-small-kor-sbert-v1      |0.8305    |0.8588    |0.8419           |0.7965|
+|bongsoo/kpf-sbert-v1.0                 |0.8590    |0.8924    |0.8840           |0.8531|
+|**bongsoo/klue-sbert-v1.0**                |0.8529    |0.8952    |0.8813           |0.8469|
+
+For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
+
 
 ## Citing & Authors