Update README.md

README.md

@@ -22,12 +22,17 @@ Primary Users: Financial analysts, NLP researchers, and developers working on fi
 Training Dataset: The model was fine-tuned on a custom dataset of financial communication texts. The dataset was split into training, validation, and test sets as follows:
 
 Training Set: 10,918,272 tokens
+
 Validation Set: 1,213,184 tokens
+
 Test Set: 1,347,968 tokens
 
 Pre-training Dataset: FinBERT was pre-trained on a large financial corpus totaling 4.9 billion tokens, including:
+
 Corporate Reports (10-K & 10-Q): 2.5 billion tokens
+
 Earnings Call Transcripts: 1.3 billion tokens
+
 Analyst Reports: 1.1 billion tokens
 
 ## Evaluation