Update README.md

README.md

@@ -9,38 +9,36 @@ base_model:
 model-index:
 - name: Phi-4-mm-inst-zeroth-kor
   results:
-    - task:
-        type: speech-to-text-translation
-      dataset:
-        type: seastar105/fleurs_ko_en_test
-        name: fleurs (ko-en test intersection)
-      metrics:
-        - type: bleu
-          name: ko2en
-          value: To-be-filled
-        - type: bleu
-          name: ko2en-cot
-          value: To-be-filled
-        - type: bleu
-          name: en2ko (ko-mecab)
-          value: To-be-filled
-        - type: bleu
-          name: en2ko-cot (ko-mecab)
-          value: To-be-filled
-    - task:
-        type: automatic-speech-recognition
-      dataset:
-        type: kresnik/zeroth_korean
-        name: zeroth_korean test
-      metrics:
-        - type: cer
-          name: test CER
-          value: To-be-filled
+  - task:
+      type: speech-to-text-translation
+    dataset:
+      type: seastar105/fleurs_ko_en_test
+      name: fleurs (ko-en test intersection)
+    metrics:
+    - type: bleu
+      name: ko2en
+      value: To-be-filled
+    - type: bleu
+      name: ko2en-cot
+      value: To-be-filled
+    - type: bleu
+      name: en2ko (ko-mecab)
+      value: To-be-filled
+    - type: bleu
+      name: en2ko-cot (ko-mecab)
+      value: To-be-filled
+  - task:
+      type: automatic-speech-recognition
+    dataset:
+      type: kresnik/zeroth_korean
+      name: zeroth_korean test
+    metrics:
+    - type: cer
+      name: test CER
+      value: To-be-filled
+language:
+- ko
 ---
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
 This model is fine-tuned from [microsoft/Phi-4-multimodal-instruct](https://huggingface.co/microsoft/Phi-4-multimodal-instruct) on [kresnik/zeroth_korean](https://huggingface.co/datasets/kresnik/zeroth_korean) dataset only 1 epoch.
 
 script for fine-tuning is [here](https://gist.github.com/seastar105/d1d8983b27611370528e3b194dcc5577#file-main-py), adapted from phi-4 repository example