update model card README.md

README.md

@@ -1,20 +1,23 @@
 ---
-license: apache-2.0
+language:
+- ja
+license: other
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- elite_voice_project
+- Elite35P-Server/EliteVoiceProject
 metrics:
 - wer
 model-index:
-- name: whisper-small-ja-elite
+- name: Whisper Small Japanese Elite
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: elite_voice_project
-      type: elite_voice_project
+      name: Elite35P-Server/EliteVoiceProject youtube
+      type: Elite35P-Server/EliteVoiceProject
       config: youtube
       split: test
       args: youtube
@@ -27,9 +30,9 @@ model-index:
 <!-- 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. -->
 
-# whisper-small-ja-elite
+# Whisper Small Japanese Elite
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the elite_voice_project dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Elite35P-Server/EliteVoiceProject youtube dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.1596
 - Wer: 31.5364