add model card

README.md

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+---
+language: en
+tags:
+- summarization
+- bart
+- medical question answering
+- question understanding
+- consumer health question
+- prompt engineering
+license: apache-2.0
+datasets:
+- bigbio/meqsum
+widget:
+- text: >-
+    SUBJECT: high inner eye pressure above 21 possible glaucoma 
+
+    MESSAGE: have seen inner eye pressure increase as I have begin taking
+    Rizatriptan. I understand the med narrows blood vessels. Can this med. cause
+    or effect the closed or wide angle issues with the eyelense/glacoma.
+model-index:
+- name: medqsum-bart-large-xsum-meqsum
+  results: []
+task:
+- type: summarization
+- name: Summarization
+metrics:
+- rouge
+pipeline_tag: summarization
+library_name: transformers
+---
+
+## Bart Xsum model finetuned on MeqSum
+medqsum-bart-large-xsum-meqsum is the best fine-tuned model in the paper [Enhancing Large Language Models' Utility for Medical Question-Answering: A Patient Health Question Summarization Approach](), which introduces a solution to get the most out of LLMs, when answering health-related questions. We address the challenge of crafting accurate prompts by summarizing consumer health questions (CHQs) to generate clear and concise medical questions. Our approach involves fine-tuning Transformer-based models, including Flan-T5 in resource-constrained environments and three medical question summarization datasets.
+
+## Hyperparameters
+```json
+{
+    "dataset_name": "MeQSum",
+    "learning_rate": 3e-05,
+    "model_name_or_path": "facebook/bart-large-xsum",
+    "num_train_epochs": 4,
+    "per_device_eval_batch_size": 4,
+    "per_device_train_batch_size": 4,
+    "predict_with_generate": true,
+    "seed": 7
+}
+```
+
+## Usage
+```python
+from transformers import pipeline
+summarizer = pipeline("summarization", model="NouRed/medqsum-bart-large-xsum-meqsum")
+chq = '''SUBJECT: high inner eye pressure above 21 possible glaucoma
+MESSAGE: have seen inner eye pressure increase as I have begin taking
+Rizatriptan. I understand the med narrows blood vessels. Can this med.
+cause or effect the closed or wide angle issues with the eyelense/glacoma.                                         
+'''
+summarizer(chq)
+```
+
+## Results
+
+| key | value |
+| --- | ----- |
+| eval_rouge1 | 54.32 |
+| eval_rouge2 | 38.08 |
+| eval_rougeL | 51.98 |
+| eval_rougeLsum | 51.99 |