Update README.md

README.md

@@ -10,7 +10,7 @@ metrics:
 language:
 - en
 base_model:
-- emilyalsentzer/Bio_ClinicalBERT
+- UFNLP/gatortron-base
 pipeline_tag: text-classification
 tags:
 - emrs
@@ -24,7 +24,7 @@ tags:
 
 **Overview:** This repository hosts the fine-tuned model, adapted specifically for the detection of alcohol use expressions in clinical narratives. This fine-tuned model is based on 1,000 simulated expressions, labeled as either 'inappropriate use of alcohol' or 'no use or acceptable use of alcohol'. It may serve particularly for studies that need to consider alcohol consumption as a significant covariate, such as those excluding patients from cohorts in liver disease research.
 
-**Model Description:** The base model, emilyalsentzer/Bio_ClinicalBERT, has been fine-tuned to better recognize and categorize expressions related to alcohol use. This adaptation makes it highly suited for parsing and understanding nuanced medical texts where alcohol use status is relevant.
+**Model Description:** The base model, UFNLP/gatortron-base, has been fine-tuned to better recognize and categorize expressions related to alcohol use. This adaptation makes it highly suited for parsing and understanding nuanced medical texts where alcohol use status is relevant.
 
 **Performance:** The fine-tuned model demonstrates high accuracy in classifying alcohol-related expressions, ensuring that its application in research and clinical settings is both reliable and effective.