Update README.md

README.md

@@ -7,6 +7,8 @@ metrics:
 base_model:
 - dmis-lab/biobert-base-cased-v1.1
 pipeline_tag: text-classification
+tags:
+- medical
 ---
 
 # BioBERT Research Insights
@@ -52,4 +54,4 @@ The model was evaluated on the PubMed 20k RCT test dataset, which contains 5 sen
 ### Class-wise performance highlights:
 
 - **METHODS** and **RESULTS** classes achieve high precision and recall (~93-94%), indicating strong performance in identifying these sections.
-- Lower scores on **BACKGROUND** and **OBJECTIVE** suggest these categories are more challenging to distinguish, likely due to overlapping language.
+- Lower scores on **BACKGROUND** and **OBJECTIVE** suggest these categories are more challenging to distinguish, likely due to overlapping language.