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update model card README.md

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  ---
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- license: apache-2.0
 
 
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  tags:
 
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  - generated_from_trainer
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  datasets:
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- - elite_voice_project
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  metrics:
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  - wer
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  model-index:
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- - name: whisper-base-ja-elite
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  results:
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  - task:
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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- name: elite_voice_project
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- type: elite_voice_project
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  config: twitter
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  split: test
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  args: twitter
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # whisper-base-ja-elite
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- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the elite_voice_project dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1459
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  - Wer: 11.5854
 
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  ---
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+ language:
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+ - ja
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+ license: other
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  tags:
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+ - whisper-event
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  - generated_from_trainer
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  datasets:
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+ - Elite35P-Server/EliteVoiceProject
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Base Japanese Elite
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  results:
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  - task:
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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+ name: Elite35P-Server/EliteVoiceProject twitter
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+ type: Elite35P-Server/EliteVoiceProject
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  config: twitter
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  split: test
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  args: twitter
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Whisper Base Japanese Elite
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Elite35P-Server/EliteVoiceProject twitter dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1459
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  - Wer: 11.5854