Update README.md

README.md

@@ -7,8 +7,6 @@ license: apache-2.0
 
 industry-bert-asset-management-v0.1 is part of a series of industry-fine-tuned sentence_transformer embedding models.   
 
-## Model Details
-
 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->
@@ -22,18 +20,17 @@ substitute for embeddings in the asset management domain.   This model was train
 - **License:** Apache 2.0
 - **Finetuned from model [optional]:** BERT-based model, fine-tuning methodology described below.
 
-## Model Use
+### Model Use
 
 from transformers import AutoTokenizer, AutoModel
-
 tokenizer = AutoTokenizer.from_pretrained("llmware/industry-bert-asset-management-v0.1")
 model = AutoModel.from_pretrained("llmware/industry-bert-asset-management-v0.1")
 
 
 ## Bias, Risks, and Limitations
 
-This is a semantic embedding model, fine-tuned on public domain SEC filings and regulatory documents.   Results may vary if used outside of this
-domain, and like any embedding model, there is always the potential for anomalies in the vector embedding space.   No specific safeguards have
+This is a semantic embedding model, fine-tuned on public domain documents regarding the business, financials and companies in the asset
+management industry.   Results may vary if used outside of this domain, and like any embedding model, there is always the potential for anomalies in the vector embedding space.   No specific safeguards have
 put in place for safety or mitigate potential bias in the dataset.
 
 ### Training Procedure