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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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  metrics:
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  - wer
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  model-index:
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- - name: whisper-large-somali
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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-large-somali
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- This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.0039
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  - Wer: 55.0424
 
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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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+ - google/fleurs
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper_large_Somali
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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: google/fleurs so_so
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+ type: google/fleurs
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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: 55.04238164151334
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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_large_Somali
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+ This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the google/fleurs so_so dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.0039
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  - Wer: 55.0424