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update model card README.md

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  ---
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- language:
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- - en
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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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- - alxfng/noisycommonvoice
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Base Noisy
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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: Noisy Common Voice
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- type: alxfng/noisycommonvoice
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- config: null
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- split: None
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- metrics:
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- - name: Wer
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- type: wer
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- value: 59.32123598390824
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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 Base Noisy
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- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Noisy Common Voice dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.4454
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  - Wer: 59.3212
 
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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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  metrics:
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  - wer
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  model-index:
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+ - name: whisper-noisy
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+ results: []
 
 
 
 
 
 
 
 
 
 
 
 
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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-noisy
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.4454
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  - Wer: 59.3212