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README.md

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 Overall F1 score of 92.67% and precision, recall, and accuracy metrics at 91.86%, 93.49%, and 97.49%, respectively.
 
-High-Performing Entities: entities like Account Name, Account Number, Age, Company Name, and Email have achieved F1 scores above 95%.
-Entities That Need Improvement: struggled with specific entities like Currency Name (27.3% F1) and IP (0.78% F1).
-Numeric Entities: generally performed well with numeric entities like SSN (99.3% F1), Phone Number (97.5% F1), and Credit Card Issuer (98.1% F1).
-Legal Entities: Job Title and Job Type, which might relate to the legal domain, achieved high F1 scores (around 97%). But need more entities!
+-High-Performing Entities: entities like Account Name, Account Number, Age, Company Name, and Email have achieved F1 scores above 95%.
+
+-Entities That Need Improvement: struggled with specific entities like Currency Name (27.3% F1) and IP (0.78% F1).
+
+-Numeric Entities: generally performed well with numeric entities like SSN (99.3% F1), Phone Number (97.5% F1), and Credit Card Issuer (98.1% F1).
+
+-Legal Entities: Job Title and Job Type, which might relate to the legal domain, achieved high F1 scores (around 97%). But need more entities!