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update readme

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  pipeline_tag: automatic-speech-recognition
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  ---
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- Bangla ASR model which was trained Bangla Mozilla Common Voice Dataset. This is Fine-tuning Whisper for Bangla mozilla common voice dataset.
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- For training Bangla ASR model here used 40k traning and 7k Validation around 400 hours data. We trained 12000 steps this model and get word
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- error rate 4.58%. This model was fine-tune whisper small[244 M] model.
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  ```py
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  # Dataset
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- Use Mozilla common voice dataset. we used 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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  pipeline_tag: automatic-speech-recognition
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  ---
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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