Update README.md

README.md

@@ -6,246 +6,217 @@ language:
 metrics:
 - accuracy
 base_model:
-- Qwen/Qwen3-30B-A3B-Instruct-2507
+- Qwen/Qwen3-32B
 pipeline_tag: text-generation
 library_name: transformers
 tags:
 - medical
 model-index:
-  - name: Med-Go-32B
-    results:
-      # ----------------------------------------------------
-      # Medical Knowledge
-      # ----------------------------------------------------
-      - task:
-          type: text-generation
-        dataset:
-          type: medical_eval_hle
-          name: Medical-Eval-HLE
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 19.4
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: supergpqa
-          name: SuperGPQA
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 37.2
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: medbullets
-          name: Medbullets
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 57.8
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: mmlu_pro
-          name: MMLU-pro
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 64.3
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: afrimedqa
-          name: AfrimedQA
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 74.7
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: medmcqa
-          name: MedMCQA
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 68.3
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: medqa_usmle
-          name: MedQA-USMLE
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 76.8
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: cmb
-          name: CMB
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 92.5
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: cmexam
-          name: CMExam
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 87.4
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: pubmedqa
-          name: PubMedQA
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 76.6
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: medexqa
-          name: MedExQA
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 81.5
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: explaincpe
-          name: ExplainCPE
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 89.5
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: mmlu_med
-          name: MMLU-Med
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 87.4
-            verified: false
-
-      # ----------------------------------------------------
-      # Clinical Reasoning
-      # ----------------------------------------------------
-      - task:
-          type: text-generation
-        dataset:
-          type: medxperqa
-          name: MedXperQA
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 20.7
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: anesbench
-          name: AnesBench
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 53.1
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: diagnosisarena
-          name: DiagnosisArena
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 64.4
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: clinbench_hbp
-          name: Clinbench-HBP
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 80.6
-            verified: false
-
-      # ----------------------------------------------------
-      # Medical Standard
-      # ----------------------------------------------------
-      - task:
-          type: text-generation
-        dataset:
-          type: medpair
-          name: MedPAIR
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 32.3
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: amqa
-          name: AMQA
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 72.7
-            verified: false
-
-      - task:
-          type: text-generation
-        dataset:
-          type: medethicaleval
-          name: MedethicalEval
-        metrics:
-          - name: accuracy
-            type: accuracy
-            value: 92.2
-            verified: false
-
+- name: Med-Go-32B
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: medical_eval_hle
+      name: Medical-Eval-HLE
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 19.4
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: supergpqa
+      name: SuperGPQA
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 37.2
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: medbullets
+      name: Medbullets
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 57.8
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: mmlu_pro
+      name: MMLU-pro
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 64.3
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: afrimedqa
+      name: AfrimedQA
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 74.7
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: medmcqa
+      name: MedMCQA
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 68.3
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: medqa_usmle
+      name: MedQA-USMLE
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 76.8
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: cmb
+      name: CMB
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 92.5
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: cmexam
+      name: CMExam
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 87.4
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: pubmedqa
+      name: PubMedQA
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 76.6
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: medexqa
+      name: MedExQA
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 81.5
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: explaincpe
+      name: ExplainCPE
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 89.5
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: mmlu_med
+      name: MMLU-Med
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 87.4
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: medxperqa
+      name: MedXperQA
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 20.7
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: anesbench
+      name: AnesBench
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 53.1
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: diagnosisarena
+      name: DiagnosisArena
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 64.4
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: clinbench_hbp
+      name: Clinbench-HBP
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 80.6
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: medpair
+      name: MedPAIR
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 32.3
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: amqa
+      name: AMQA
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 72.7
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: medethicaleval
+      name: MedethicalEval
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 92.2
+      verified: false
 ---
 
-# MedGo: Medical Large Language Model Based on Qwen3-30B
+# MedGo: Medical Large Language Model Based on Qwen3-32B
 
 <div align="center">
 
@@ -568,6 +539,4 @@ Special thanks to:
 
 [⬆ Back to Top](#medgo-medical-large-language-model-based-on-qwen25-32b)
 
-</div>
-
-
+</div>