Update README.md

README.md

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 # Sentence Transformer for Assurance & Risk Question-Answering (STAR-QA)
 
-Sentence Transformer for Assurance & Risk Question-Answering (STAR-QA) is a fine-tuned [sentence-transformers](https://www.SBERT.net) model based on ALL-MPNET-BASE-V2. It has been developed to produce **SOTA embeddings for audit, risk-management, compliance and associated regulatory documents**. The model maps sentence pairs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search as part of retrieval-augmented generation pipelines.
+Sentence Transformer for Assurance & Risk Question-Answering (STAR-QA) is a fine-tuned [sentence-transformers](https://www.SBERT.net) model based on ALL-MPNET-BASE-V2. It has been developed to produce **high-performance embeddings for audit, risk-management, compliance and associated regulatory documents**. The model maps sentence pairs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search as part of retrieval-augmented generation pipelines.
 
 ## Evaluation Results