Update README.md

README.md

@@ -63,7 +63,7 @@ print("AP Article" if prediction == 1 else "Not AP Article")
 ```
 
 ## ⚙️ Recommended Usage Notes
-- The models were trained on headlines, authors, and the first 100 characters of articles, as the mention of the newswire often appears in these sections. Using the same format for inference may improve accuracy.
+- The models were trained on a combination of the first 100 characters of headline + author + the first 100 characters of articles, as the mention of the newswire often appears in these sections. Using the same format for inference may improve accuracy.
 
 ## 📜 Licensing & Data Source
 - **Training Data:** Historical newspaper articles (1960–1975) from public-domain sources.
@@ -73,7 +73,7 @@ print("AP Article" if prediction == 1 else "Not AP Article")
 If you use these models, please cite:
 ```
 @misc{newswire_classifier,
-  author = {Your Name},
+  author = {McRae, Michael},
   title = {Newswire Classifier (AP, UPI, NEA) - BERT Transformers},
   year = {2025},
   publisher = {Hugging Face},