Update README.md

README.md

@@ -30,7 +30,7 @@ learning from human feedback (RLHF).
 ---
 
 ## 🧩 Tasks
-- Given a vibration signal S and a target category c ∈ {sensory, emotional, associative}, where sensory refers to physical attributes (e.g.,intensity of tapping), emotional denotes affective
+Given a vibration signal S and a target category c ∈ {sensory, emotional, associative}, where sensory refers to physical attributes (e.g.,intensity of tapping), emotional denotes affective
 impressions (e.g., the mood of a scene), and associative indicates real-world familiar experiences (e.g., buzzing of a bee, a heartbeat), the goal is to generate a caption corresponding to the specified category of haptic experience.
 
 ---
@@ -42,9 +42,9 @@ HapticLLaMA training is consist of (1) supervised fine-tuning with LoRA adaptati
 
 
 - ## 📂 Models
-- **Frequency-based Model**:
+- **Frequency-based Model**
   
-- **Encodec-based Model**:
+- **Encodec-based Model**
 ---
 
 ## 📂 Haptic Tokenizer