Update README.md

README.md

@@ -1,15 +1,5 @@
 ---
-language: []
 library_name: sentence-transformers
-tags:
-- sentence-transformers
-- sentence-similarity
-- feature-extraction
-- dataset_size:100K<n<1M
-- loss:MatryoshkaLoss
-- loss:MultipleNegativesRankingLoss
-- loss:CosineSimilarityLoss
-base_model: klue/roberta-small
 metrics:
 - pearson_cosine
 - spearman_cosine
@@ -90,15 +80,11 @@ model-index:
       name: Spearman Max
 ---
 
-# SentenceTransformer based on klue/roberta-small
-
-This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [klue/roberta-small](https://huggingface.co/klue/roberta-small). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
 
 ## Model Details
 
 ### Model Description
 - **Model Type:** Sentence Transformer
-- **Base model:** [klue/roberta-small](https://huggingface.co/klue/roberta-small) <!-- at revision 5fe1f0cb3946f0ea1c01e657cd1688771cf47802 -->
 - **Maximum Sequence Length:** 256 tokens
 - **Output Dimensionality:** 768 tokens
 - **Similarity Function:** Cosine Similarity