Update README.md

README.md

@@ -7,4 +7,58 @@ base_model:
 tags:
 - medical
 - NER
+---
+
+## Model Description
+
+`distilbert-clinical-ner` is a fine-tuned DistilBERT model for **biomedical and clinical NER tasks**.  
+It is trained to identify and classify entities such as **diseases, medications, lab values, procedures, and other biomedical concepts** in text.  
+
+This model is intended for **research and learning purposes** 
+
+---
+
+## Intended Use
+
+- Extract biomedical entities from clinical notes, research papers, or other health-related texts.  
+- Educational purposes: experiment with NER pipelines, token classification, and fine-tuning pre-trained transformers.  
+
+---
+
+## Not Intended For
+
+- Production-level clinical decision making.  
+- Use in real-world medical diagnosis or treatment recommendations.  
+
+---
+
+## Metrics
+
+The model was evaluated on a biomedical NER dataset (BioMedical NER, [your dataset reference]) using standard token-level metrics:
+
+| Metric    | Score |
+|-----------|-------|
+| Accuracy  | 0.65  |
+| Precision | 0.65  |
+| Recall    | 0.65  |
+| F1-score  | 0.65  |
+
+> These metrics reflect experimental performance and are intended for learning and demonstration purposes.
+
+---
+
+## Citation
+
+If you use this model for research or portfolio demonstrations, you can cite:
+
+```
+@misc{rakesh-mohan-2025-distilbertclinicalner,
+title={distilbert-clinical-ner: A Biomedical NER Model},
+author={Rakesh Mohan},
+year={2025},
+howpublished={\url{https://huggingface.co/rm0013/distilbert-clinical-ner}}
+}
+
+```
+
 ---