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First of all thanks a lot for this wavenet code, well written and handed to the community.
My problem is that I cannot understand, if my model is learning and what is it learning.
I am testing it on musical audio samples, keeping silences and with the default settings I see the loss fluctuating like crazy from 3.5 to 0.0.
I cannot understand what that means and how I can fix it or improve it.
Also although it learns fast, I am not sure if it actually reads all the data and what amount of it.
What is a good number of seconds (a.k.a number_of_samples = sample_rate * seconds) that I should use so me model generalizes more effectively.
Thanks in advance.
The text was updated successfully, but these errors were encountered:
First of all thanks a lot for this wavenet code, well written and handed to the community.
My problem is that I cannot understand, if my model is learning and what is it learning.
I am testing it on musical audio samples, keeping silences and with the default settings I see the loss fluctuating like crazy from 3.5 to 0.0.
I cannot understand what that means and how I can fix it or improve it.
Also although it learns fast, I am not sure if it actually reads all the data and what amount of it.
What is a good number of seconds (a.k.a number_of_samples = sample_rate * seconds) that I should use so me model generalizes more effectively.
Thanks in advance.
The text was updated successfully, but these errors were encountered: