Update README.md

README.md

@@ -19,7 +19,7 @@ pipeline_tag: automatic-speech-recognition
 metrics:
 - wer
 model-index:
-  - name: kotoba-tech/kotoba-whisper-v1.0
+  - name: kotoba-tech/kotoba-whisper-v2.0
     results:
       - task:
           type: automatic-speech-recognition
@@ -29,10 +29,10 @@ model-index:
         metrics:
           - name: WER
             type: WER
-            value: 59.27
+            value: 58.9
           - name: CER
             type: CER
-            value: 9.44
+            value: 9.20
       - task:
           type: automatic-speech-recognition
         dataset:
@@ -41,10 +41,10 @@ model-index:
         metrics:
           - name: WER
             type: WER
-            value: 56.62
+            value: 55.6
           - name: CER
             type: CER
-            value: 12.60
+            value: 11.63
       - task:
           type: automatic-speech-recognition
         dataset:
@@ -53,13 +53,13 @@ model-index:
         metrics:
           - name: WER
             type: WER
-            value: 64.36
+            value: 63.8
           - name: CER
             type: CER
-            value: 8.48
+            value: 8.40
 ---
 
-# Kotoba-Whisper
+# Kotoba-Whisper (v2.0)
 _Kotoba-Whisper_ is a collection of distilled [Whisper](https://arxiv.org/abs/2212.04356) models for Japanese ASR, developed through the collaboration bewteen
 [Asahi Ushio](https://asahiushio.com) and [Kotoba Technologies](https://twitter.com/kotoba_tech).
 Following the original work of distil-whisper ([Robust Knowledge Distillation via Large-Scale Pseudo Labelling](https://arxiv.org/abs/2311.00430)),