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Tokenizer suggestion for fine tuning cache aware streaming model #9124
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If you want to finetune using the original tokenizer, yes you'll need to normalize all numbers to spoken words. Changing tokenizer means you'll need a large amount of data to retrain the model, that is not suggested unless you have several thousand hours of speech to reach best results |
How to use the original tokenizer? |
Hi
I want to fine tune "stt_en_fastconformer_hybrid_large_streaming_multi" on custom data.
In my dataset I have things like "Vitamin B12", "Code: c12r5", "hb1ac" etc
For these alphanumeric words:
If there is any other suggestion, please let me know.
Thank You
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