Update README.md

README.md

@@ -10,33 +10,32 @@ tags:
 - visual-question-answering
 pipeline_tag: visual-question-answering
 base_model:
-- Qwen/Qwen3-0.6B
+- Qwen/Qwen3-0.6B-Base
 model-index:
-  - name: MicroLLaVA-Qwen3-0.6B-base-siglip2-so400m
-    results:
-      - task:
-          type: visual-question-answering
-          name: VQAv2
-        dataset:
-          name: VQAv2
-          type: vqav2
-        metrics:
-          - name: Overall Accuracy
-            type: accuracy
-            value: 78.52
-          - name: Yes/No Accuracy
-            type: accuracy
-            value: 91.56
-          - name: Number Accuracy
-            type: accuracy
-            value: 65.69
-          - name: Other Accuracy
-            type: accuracy
-            value: 70.28
-        source:
-          name: Internal Evaluation on VQAv2 test-dev
-          url: https://visualqa.org/download.html
-
+- name: MicroLLaVA-Qwen3-0.6B-base-siglip2-so400m
+  results:
+  - task:
+      type: visual-question-answering
+      name: VQAv2
+    dataset:
+      name: VQAv2
+      type: vqav2
+    metrics:
+    - name: Overall Accuracy
+      type: accuracy
+      value: 78.52
+    - name: Yes/No Accuracy
+      type: accuracy
+      value: 91.56
+    - name: Number Accuracy
+      type: accuracy
+      value: 65.69
+    - name: Other Accuracy
+      type: accuracy
+      value: 70.28
+    source:
+      name: Internal Evaluation on VQAv2 test-dev
+      url: https://visualqa.org/download.html
 ---
 # 🦙📷 MicroLLaVA-Qwen3-0.6B-base-siglip2-so400m
 
@@ -170,5 +169,4 @@ If you find this model helpful, please consider citing or referencing this repo:
 }
 ```
 
-Please also support my release of https://huggingface.co/keeeeenw/MicroLlava which is based on own https://huggingface.co/keeeeenw/MicroLlama for the language capabilities.
-
+Please also support my release of https://huggingface.co/keeeeenw/MicroLlava which is based on own https://huggingface.co/keeeeenw/MicroLlama for the language capabilities.