Update README.md

README.md

@@ -17,6 +17,30 @@ metrics:
 
 model-index:
 - name: MASID-v3
+  description: |
+    **MASID-v3** is a fine-tuned version of **Qwen2.5-7B** trained specifically for **Filipino recipe generation**, with a focus on main dish preparation.
+
+    This model was trained on the **Filipino Recipes 2K V2 dataset**, a curated collection of ~2,000 authentic Filipino recipes.  
+    Unlike earlier variants that explored multi-stage fine-tuning, **MASID-v3 was trained directly from Qwen2.5-7B** using this dataset to specialize the model toward Filipino culinary knowledge.
+
+    The goal of MASID-v3 is to generate structured and culturally accurate Filipino main dish recipes, covering a wide range of traditional cooking methods and ingredient combinations.
+
+    ### Model Details
+    - **Base Model**: [Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B)  
+    - **Dataset**: Filipino Recipes 2K V2 (~2,000 samples)  
+    - **Training Objective**: Recipe text generation (Filipino cuisine, main dishes)  
+    - **Method**: Direct fine-tuning from Qwen2.5-7B  
+
+    ### Intended Use
+    - Assisting in **recipe writing**  
+    - Exploring **Filipino food culture**  
+    - Generating **cooking instructions** in natural language  
+
+    ### Limitations
+    - Trained on a relatively **small dataset (~2k samples)**  
+    - May sometimes produce **hallucinated ingredients** or **inaccurate steps**  
+    - Not suitable for **nutritional or food safety advice**  
+    - Best used for **research, education, and creative purposes**
   results:
   - task:
       name: Text Generation