Update README.md

README.md

@@ -24,7 +24,7 @@ This model is fine-tuned on the `dbmdz/bert-base-turkish-uncased` architecture f
 ## Model Architecture
 
 - **Base Model:** BERT (dbmdz/bert-base-turkish-uncased)
-- **Training Data:** Twitter data from 8,000 accounts, categorized into 4,000 random accounts and 4,000 accounts with high organization-related activity as determined by m3inference scores above 0.7. The data was annotated based on user names, screen names, and descriptions.
+- **Training Data:** Twitter data from 4,000 random accounts and 4,000 accounts with high organization-related activity as determined by m3inference scores above 0.7, 8,000 accounts in total. The data was annotated based on user names, screen names, and descriptions using ChatGPT 4.
 
 ## Training Setup