Update README.md

README.md

@@ -1,4 +1,4 @@
-
+---
 library_name: transformers
 license: apache-2.0
 base_model: Qwen/Qwen2.5-1.5B-Instruct
@@ -17,13 +17,13 @@ tags:
 - code
 - instruction-tuning
 - fine-tuned
-
+---
 
 # 🐍 Python Assistant (Arabic)
 
 A fine-tuned version of **Qwen2.5-1.5B-Instruct** that answers Python programming questions in **Arabic**, with structured JSON output. Fine-tuned using LoRA via LLaMA-Factory.
 
-
+---
 
 ## Model Details
 
@@ -34,13 +34,13 @@ A fine-tuned version of **Qwen2.5-1.5B-Instruct** that answers Python programmin
 - **License:** Apache 2.0  
 - **Fine-tuning method:** QLoRA (LoRA rank=32) via LLaMA-Factory  
 
-
+---
 
 ## What does this model do?
 
 Given a Python programming question in English, the model returns a structured JSON answer **in Arabic**, explaining the solution step by step.
 
-
+---
 
 ## How to Use
 ```python
@@ -74,7 +74,7 @@ outputs = model.generate(**inputs, max_new_tokens=512)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
 
-
+---
 
 ## Training Details
 
@@ -95,7 +95,7 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 | Framework | LLaMA-Factory |
 | Hardware | Google Colab T4 GPU |
 
-
+---
 
 ## Training Data
 
@@ -105,7 +105,7 @@ The answers were annotated and structured using GPT to produce Arabic explanatio
 
 **Train / Val split:** 90% / 10%
 
-
+---
 
 ## Limitations