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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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  - audiofolder
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  metrics:
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  - wer
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  model-index:
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- - name: whisper-medium-Bambara-field
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  results:
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  - task:
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  name: Automatic Speech Recognition
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  metrics:
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  - name: Wer
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  type: wer
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- value: 159.03091832025842
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  ---
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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-medium-Bambara-field
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.3800
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- - Wer: 159.0309
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  ## Model description
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  ---
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  license: apache-2.0
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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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  - audiofolder
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Medium Bambara Fieldwork
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  results:
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  - task:
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  name: Automatic Speech Recognition
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 157.60036917397323
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  ---
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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 Medium Bambara Fieldwork
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.0725
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+ - Wer: 157.6004
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  ## Model description
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