Update README.md

README.md

@@ -52,15 +52,22 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+
+bert-finetuned-ner is a fine-tuned BERT model aimed at performing Named Entity Recognition (NER) tasks. This model is particularly fine-tuned on the WNUT-17 dataset, which includes a variety of unusual and emerging named entities that are difficult for traditional NER systems to recognize
 
 ## Intended uses & limitations
 
-More information needed
+Intended uses
+Named Entity Recognition (NER) for identifying unusual and emerging entities
+Use cases in social media text, conversational agents, and user-generated content where new and rare entities frequently appear
+
+Limitations
+The model may not perform well on datasets significantly different from WNUT-17
+It might struggle with very domain-specific entities not covered during training
 
 ## Training and evaluation data
 
-More information needed
+The model was trained and evaluated on the WNUT-17 dataset. This dataset is specifically designed to test models on their ability to recognize emerging and rare named entities in noisy text data.
 
 ## Training procedure