Update README.md

README.md

@@ -7,6 +7,12 @@ tags:
 - transformers
 ---
 
+# kpf-sbert-v1
+
+This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+
+jinmang2/kpfbert 모델을 sentencebert로 파인듀닝한 모델
+
 ## Evaluation Results
 
 - 성능 측정을 위한 말뭉치는,  아래 한국어 (kor), 영어(en)  평가 말뭉치를 이용함
@@ -24,13 +30,6 @@ tags:
 
 For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
 
-# kpf-sbert-v1
-
-This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
-
-jinmang2/kpfbert 모델을 sentencebert로 파인듀닝한 모델
-
-
 ## Citing & Authors
 
 bongsoo