I’m preparing a submission based on the hear-eval and hear-baseline repo.
According to hear-baseline, evaluation is performed through random projection after embedding extraction.
But I want to train a projection layer specialized for each task. Can I save the projection layer weight and attach it?
One concern is that the API doesn’t have a task type condition. If I use a custom projection layer, is only one projection layer allowed?