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sanchit-gandhi avatar sanchit-gandhi commented on August 24, 2024

Hey @silvacarl2! Sorry for the late reply here! The best option would be to fine-tune on the closest scenario to what you expect at inference time. If you expect the model to transcribe the entire spoken name, then you should go with that.

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silvacarl2 avatar silvacarl2 commented on August 24, 2024

excellent. we now have 14M samples to use for fine tuning. yes i think entire spoken name is the way to go.

Any pointers to the latest best techniques to fine tuning whisper for a use case like this?

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