Update README.md

README.md

@@ -61,7 +61,10 @@ language:
 
 # SentenceTransformer
 
-This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps sentences & paragraphs to a 256-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+This is a [sentence-transformers](https://www.SBERT.net) model. It maps sentences & paragraphs to a 256-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+
+> [!IMPORTANT]  
+> It is a static embedding model! The main purpose of it is to calculate similarity between russian and bashkir sentences.
 
 ## Model Details
 
@@ -72,7 +75,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps
 - **Output Dimensionality:** 256 dimensions
 - **Similarity Function:** Cosine Similarity
 <!-- - **Training Dataset:** Unknown -->
-<!-- - **Language:** Unknown -->
+- **Language:** Bashkir
 <!-- - **License:** Unknown -->
 
 ### Model Sources