My Weird Prompts
Why Training Recipes Matter More Than Model Size
28:07
Fine-tuning speech recognition models often conceals massive architectural decisions inside ordinary setup notebooks. From checkpoint averaging and batch size dynamics to optimizer interactions, minor configuration details can drastically swing error rates without altering the underlying audio dataset. Exploring recent findings across Whisper and NeMo architectures, this discussion examines…