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q<n> metrics #45

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mainpyp opened this issue Apr 13, 2023 · 1 comment
Closed

q<n> metrics #45

mainpyp opened this issue Apr 13, 2023 · 1 comment

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@mainpyp
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mainpyp commented Apr 13, 2023

When it comes to training metrics, I cannot find the difference between the different q splits. (loss_q1, nll_q0, etc.)
Could you shortly explain or reference the corresponding paper / paragraph?
@summmeer
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Hi,
We split the metrics according to different timesteps, and thus it is convenient for us to trace the metrics in different timesteps. More specifically, for example, the 4 splits for loss_q stand for the average loss for timesteps [0, 500), [500, 1000), [1000, 1500), [1500, 2000] respectively.

@mainpyp mainpyp closed this as completed Apr 19, 2023
@mainpyp mainpyp mentioned this issue Apr 21, 2023
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@summmeer @mainpyp