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@@ -20,4 +20,5 @@ configs:
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  ---
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  The input_features are nothing but the values generated after passing the dataset's audio array through a whisper processor's feature extraction and the field 'labels' consists of the tokenized(using whisper tokenizer) ground truths.
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  The following is the link for what I did with the sarvah dataset and how I trained it on whisper-large-v3-turbo.
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- The training steps for whisper-large-v3 are same.
 
 
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  ---
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  The input_features are nothing but the values generated after passing the dataset's audio array through a whisper processor's feature extraction and the field 'labels' consists of the tokenized(using whisper tokenizer) ground truths.
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  The following is the link for what I did with the sarvah dataset and how I trained it on whisper-large-v3-turbo.
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+ The training steps for whisper-large-v3 are same.
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+ https://colab.research.google.com/drive/1oD0v7MWZ9WJqk7tZYThwgTUM85PTEhMN?usp=sharing