Update README.md

README.md

@@ -263,30 +263,31 @@ This model was trained with memory optimizations to run on GPUs with <5GB VRAM:
 - May struggle with highly ambiguous queries
 - Limited to 17 pre-defined domains
 
-## Citation
+## Base Model
+- **Base model:** `google/functiongemma`
+- **Model family:** Gemma
+- **Model owner:** Google LLC
+- **Fine-tuning task:** Domain classification
 
-If you use this model, please cite:
+## Acknowledgement & Attribution
+This model is built upon Google’s FunctionGemma. Use of this model is subject to the **Gemma Terms of Use** and the **Gemma Prohibited Use Policy**:
 
-```bibtex
-@misc{functiongemma-domain-classifier,
-  author = {ovinduG},
-  title = {FunctionGemma Domain Classifier},
-  year = {2024},
-  publisher = {HuggingFace},
-  howpublished = {\url{https://huggingface.co/ovinduG/functiongemma-domain-classifier}}
-}
-```
-
-## License
-
-This model is based on [FunctionGemma](https://huggingface.co/google/functiongemma-270m-it) and follows the same [Gemma License](https://ai.google.dev/gemma/terms).
+- **Gemma Terms of Use (March 24, 2025):**  
+  [https://ai.google.dev/gemma/terms](https://ai.google.dev/gemma/terms)  
+- **Gemma Prohibited Use Policy (February 21, 2024):**  
+  [https://ai.google.dev/gemma/prohibited_use_policy](https://ai.google.dev/gemma/prohibited_use_policy)  
 
-## Acknowledgments
+Users must comply with these policies when using, modifying, or distributing this model or its derivatives.
 
-- **Base Model:** Google's FunctionGemma-270M
-- **Training Framework:** HuggingFace Transformers + PEFT
-- **Fine-tuning Method:** LoRA (Low-Rank Adaptation)
-
----
+## License
+This model follows the same terms as **Google’s Gemma models**. Please review the above links for full license and usage restrictions.
 
-Built with ❤️ using FunctionGemma
+## Recommended Hugging Face Metadata
+```yaml
+license: gemma
+base_model: google/functiongemma
+tags:
+  - text-classification
+  - domain-classification
+  - gemma
+  - functiongemma