update model card README.md

README.md

@@ -1,38 +1,41 @@
 ---
+language:
+- zh
 license: apache-2.0
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_11_0
+- mozilla-foundation/common_voice_11_0
 metrics:
 - wer
 model-index:
-- name: xmzhu/whisper-small-zh
+- name: Whisper Small Chinese (Taiwanese Mandarin)
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_11_0
-      type: common_voice_11_0
+      name: mozilla-foundation/common_voice_11_0 zh-TW
+      type: mozilla-foundation/common_voice_11_0
       config: zh-TW
       split: test
       args: zh-TW
     metrics:
     - name: Wer
       type: wer
-      value: 43.582395087001025
+      value: 42.988741044012286
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# xmzhu/whisper-small-zh
+# Whisper Small Chinese (Taiwanese Mandarin)
 
-This model is a fine-tuned version of [xmzhu/whisper-small-zh](https://huggingface.co/xmzhu/whisper-small-zh) on the common_voice_11_0 dataset.
+This model is a fine-tuned version of [xmzhu/whisper-small-zh](https://huggingface.co/xmzhu/whisper-small-zh) on the mozilla-foundation/common_voice_11_0 zh-TW dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2910
-- Wer: 43.5824
+- Loss: 0.2639
+- Wer: 42.9887
 
 ## Model description