inconsistent values when called on the same inputs
#2
by
isaacm
- opened
When calling the model multiple times on the same input, outputs show large variance (see example below). I'm calling it on a 10-second segment of audio, normalized and prepared as instructed by the model card. Is this a known issue with the model? Any input is appreciated.
This should not happen. Please double check that "mean" and "std" are define correctly. Also, while the model should be in evaluation mode by default, you might have to force it using "model.eval()" after you load the model.
I was not able to replicate the issue on the same input.
Hello,
manually changing the model to eval with model.eval() fixed it. Thank you so much!
isaacm
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