updated with the model card

README.md

@@ -1,54 +1,29 @@
-
 ---
 license: apache-2.0
----
-
-language:
-  - en
-  - ar
-tags:
-  - medical
-  - clinical-ai
-  - medgemma
-  - fine-tuned
-  - diagnosis
-  - differential-diagnosis
-  - clinical-transcription
-  - arabic-medical
-  - qlora
-  - healthcare
-  - gemma3_text
-base_model: google/medgemma-27b-text-it
 datasets:
-  - akemiH/NoteChat
-  - starmpcc/Asclepius-Synthetic-Clinical-Notes
-  - AGBonnet/augmented-clinical-notes
-  - omi-health/medical-dialogue-to-soap-summary
-  - openlifescienceai/medmcqa
-  - GBaker/MedQA-USMLE-4-options
-  - zhengyun21/PMC-Patients
-  - lingshu-medical-mllm/ReasonMed
-  - UCSC-VLAA/MedReason
-  - FreedomIntelligence/medical-o1-reasoning-SFT
-  - qiaojin/PubMedQA
-  - appier-ai-research/StreamBench
-  - MustafaIbrahim/medical-arabic-qa
-  - MKamil/arabic_medical_50k
+- akemiH/NoteChat
+- starmpcc/Asclepius-Synthetic-Clinical-Notes
+- omi-health/medical-dialogue-to-soap-summary
+- openlifescienceai/medmcqa
+- GBaker/MedQA-USMLE-4-options
+- zhengyun21/PMC-Patients
+language:
+- en
+- ar
+metrics:
+- accuracy
+base_model:
+- google/medgemma-27b-text-it
 pipeline_tag: text-generation
-library_name: transformers
-model-index:
-  - name: Sanad-1.0
-    results:
-      - task:
-          type: text-generation
-          name: Medical Question Answering
-        dataset:
-          type: GBaker/MedQA-USMLE-4-options
-          name: MedQA USMLE
-        metrics:
-          - type: accuracy
-            value: 87.7
-            name: MedQA Accuracy
+tags:
+- Medical
+- Clinical-ai
+- MedGemma
+- Fine-Tuned
+- Diagnosis
+- Diff-Diagnosis
+- Clinical-transcription
+- Arabic-medical
 ---
 
 # 🏥 Sanad-1.0 — Clinical AI Assistant
@@ -354,4 +329,4 @@ Trained coverage across **21+ medical specialties**:
 <p align="center">
   <b>Sanad-1.0</b> — سند<br>
   <i>Your AI pillar of clinical support</i>
-</p>
+</p>