Update README.md

README.md

@@ -21,7 +21,7 @@ metrics:
 # 🧠 Mistral LoRA Transcript Chunking Model
 
 ## Model Overview
-This LoRA adapter was trained on a custom dataset of **1,000 English transcript examples** to teach a **Mistral-7B-v0.2** model how to segment long transcripts into topic-based chunks using `--` as delimiters.  
+This LoRA adapter was trained on a custom dataset of **1,000 English transcript examples** to teach a **Mistral-7B-v0.2** model how to segment long transcripts into topic-based chunks using 'section #:' as delimiters.  
 It enables automated **topic boundary detection** in conversation, meeting, and podcast transcripts — ideal for preprocessing before summarization, classification, or retrieval.
 
 ---
@@ -78,7 +78,7 @@ model = AutoModelForCausalLM.from_pretrained(base)
 model = PeftModel.from_pretrained(model, adapter)
 
 text = (
-    "Break this transcript wherever a new topic begins. Use -- as a delimiter.\n"
+    "Break this transcript wherever a new topic begins. Use 'section #:' as a delimiter.\n"
     "Transcript: Let's start with last week's performance metrics. "
     "Next, we’ll review upcoming campaign deadlines."
 )