Update README.md

README.md

@@ -30,7 +30,7 @@ It achieves the following results on the evaluation set:
 This model is a fine-tuned version of xlm-roberta-base, specializing in Named Entity Recognition (NER) within the cryptocurrency domain. It is optimized to recognize and classify entities such as cryptocurrency ticker symbols, names, and addresses within text.
 
 ## Intended uses
-Designed primarily for NER tasks in the cryptocurrency sector, this model excels in identifying and categorizing ticker symbols, cryptocurrency names, and addresses in textual content.
+Designed primarily for NER tasks in the cryptocurrency sector, this model excels in identifying and categorizing TICKER_SYMBOL, token NAME, and blockscanner ADDRESS in textual content.
 
 
 ## Limitations