[Kaldi-users] progress measurement nnet-cpu

[Mailing l. u. f. U. C. a. U. <kal...@li...>]

Hi,


I'm trying to train a neural net with nnet-cpu and I wonder how to
measure progress of training?
Should I assume that natural logarithm of frame accuracy on cv and
train is equal to corresponding numbers in computeprob log  files?
If so, then I probably receive strange results because after 20 epochs
accuracy on train is only about 45% when WER is not bad (7% relative
worse than sgmm result).
What hyper-parameters would you recommend for 10 hours training set
with 1 speaker in it for nnet-cpu?
And should I expect that nnet will be better than sgmm for any LVCSR
test as it is better for Switchboard and WSJ?

Regards,
Valentin