Update README.md

README.md

@@ -39,14 +39,14 @@ It achieves the following results on the evaluation set:
 A BERT-based(dbmdz Turkish BERT) model fine-tuned on a large-scale Turkish sentiment analysis dataset. This model classifies Turkish text into three sentiment classes: Negative, Notr (Neutral), and Positive.
 
 
-Model type: BertForSequenceClassification
-Base model: dbmdz/bert-base-turkish-cased
-Language(s): Turkish
+- Model type: BertForSequenceClassification
+- Base model: dbmdz/bert-base-turkish-cased
+- Language(s): Turkish
 
 ## Intended uses & limitations
 
-Turkish text classification tasks involving sentiment analysis.
-Suitable for social media data, product reviews, or general-purpose sentiment detection in Turkish.
+- Turkish text classification tasks involving sentiment analysis.
+- Suitable for social media data, product reviews, or general-purpose sentiment detection in Turkish.
 
 ## Usage