Update README.md

README.md

@@ -7,12 +7,48 @@ tags:
 - hf-asr-leaderboard
 widget:
 - example_title: CommonVoice 8.0 (Test Split)
-  src: https://huggingface.co/datasets/japanese-asr/ja_asr.common_voice_8_0/resolve/main/sample.flac
+  src: >-
+    https://huggingface.co/datasets/japanese-asr/ja_asr.common_voice_8_0/resolve/main/sample.flac
 - example_title: JSUT Basic 5000
-  src: https://huggingface.co/datasets/japanese-asr/ja_asr.jsut_basic5000/resolve/main/sample.flac
+  src: >-
+    https://huggingface.co/datasets/japanese-asr/ja_asr.jsut_basic5000/resolve/main/sample.flac
 - example_title: ReazonSpeech (Test Split)
-  src: https://huggingface.co/datasets/japanese-asr/ja_asr.reazonspeech_test/resolve/main/sample.flac
+  src: >-
+    https://huggingface.co/datasets/japanese-asr/ja_asr.reazonspeech_test/resolve/main/sample.flac
 pipeline_tag: automatic-speech-recognition
+metrics:
+- wer
+model-index:
+  - name: kotoba-tech/kotoba-whisper-v1.0
+    results:
+      - task:
+          type: automatic-speech-recognition
+        dataset:
+          name: japanese-asr/ja_asr.common_voice_8_0
+          type: japanese-asr/ja_asr.common_voice_8_0
+        metrics:
+          - name: WER
+            type: WER
+            value: 
+      - task:
+          type: automatic-speech-recognition
+        dataset:
+          name: japanese-asr/ja_asr.reazonspeech_test
+          type: japanese-asr/ja_asr.reazonspeech_test
+        metrics:
+          - name: WER
+            type: WER
+            value: 
+      - task:
+          type: automatic-speech-recognition
+        dataset:
+          name: japanese-asr/ja_asr.reazonspeech_test
+          type: japanese-asr/ja_asr.reazonspeech_test
+        metrics:
+          - name: WER
+            type: WER
+            value: 
+
 ---
 
 # Kotoba-Whisper
@@ -611,4 +647,4 @@ Training and evaluation code to reproduce Kotoba-Whisper is available at the rep
 ## Acknowledgements
 * OpenAI for the Whisper [model](https://huggingface.co/openai/whisper-large-v3).
 * Hugging Face 🤗 [Transformers](https://github.com/huggingface/transformers) for the model integration.
-* Hugging Face 🤗 for sharing the [Distil-Whisper codebase](https://github.com/huggingface/distil-whisper).
+* Hugging Face 🤗 for sharing the [Distil-Whisper codebase](https://github.com/huggingface/distil-whisper).