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README.md
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pipeline_tag: automatic-speech-recognition
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Bangla ASR model which was trained Bangla Mozilla Common Voice Dataset. This is Fine-tuning Whisper
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For training
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error rate 4.58%. This model was
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```py
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# Dataset
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For more information about dataser please [click here](https://commonvoice.mozilla.org/bn/datasets)
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# Training Model Information
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pipeline_tag: automatic-speech-recognition
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Bangla ASR model which was trained Bangla Mozilla Common Voice Dataset. This is Fine-tuning Whisper model using Bangla mozilla common voice dataset.
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For training this model used 40k training and 7k Validation of around 400 hours of data. We trained 12000 steps and get word
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error rate 4.58%. This model was whisper small[244 M] variant model.
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```py
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# Dataset
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Used Mozilla common voice dataset around 400 hours data both training[40k] and validation[7k] mp3 samples.
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For more information about dataser please [click here](https://commonvoice.mozilla.org/bn/datasets)
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# Training Model Information
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