Closed shaoyuyoung closed 1 year ago
This is a subjective question, and I think we should not be entangled with this issue. Technically, the original paper on prompt tuning particularly emphasizes that the model should be frozen. This is more like a "parameter-efficient tuning" method rather than a "prompt-learning" method.
Thanks a lot
hello,
Thanks for your useful work.
I have some questions about
prompt tuning
.In #135, one of contributors said that
soft prompt + freeze model = prompt tuning
.But I want to know if I just use
soft prompt
and setfreeze model==False
. Is it also should be calledprompt-tuning
?Thanks in advance