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From: Mailing l. u. f. U. C. a. U. <kal...@li...> - 2013-06-03 21:29:51
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OK, that is quite weird. What is the avg like/frame on the final update.??.log? Dan On Mon, Jun 3, 2013 at 5:00 PM, Mailing list used for User Communication and Updates <kal...@li...> wrote: > Unfortunately those are absolute differences. Here is what I get for the > mono0a. > > %WER 40.44 [ 2282 / 5643, 118 ins, 537 del, 1627 sub ] > exp/mono0a/decode_tgpr_eval92/wer_9 > > And below is the reported one in RESULTS. > > exp/mono0a/decode_tgpr_eval92/wer_10:%WER 25.54 [ 1441 / 5643, 149 > ins, 191 del, 1101 sub ] > > I will try to checkout the same version as the RESULTS file and run > the experiments again. > > Here is the total data count from exp/mono0a/log/update.0.log. > > LOG (gmm-sum-accs:main():gmm-sum-accs.cc:60) Summed 2 stats, total > count 849568, avg like/frame -109.265 > > Thanks for your help. > > Hao > > On Mon, Jun 3, 2013 at 3:43 PM, Mailing list used for User > Communication and Updates <kal...@li...> wrote: > > Assuming those are relative numbers, they're probably within the margin > of > > error. See if it's the same on other test sets. Because various > algorithms > > call rand(), and different machines implement this differently, results > > aren't fully reproducible. > > > > But to check that it's not some code change that hurts the results, you > > could try checking out a copy with the same revision number as the > RESULTS > > file, and running again and seeing what results you get. If there is a > > difference, I'd like to know. > > > > It's also possible some files were missing in your WSJ distribution-- > let me > > know the data count reported in one the */log/update.log files and I'll > > compare with a local copy. > > > > Dan > > > > > > > > On Mon, Jun 3, 2013 at 4:34 PM, Mailing list used for User Communication > and > > Updates <kal...@li...> wrote: > >> > >> Hi, > >> > >> I'm following the WSJ s5 recipe, and I wasn't able to reproduce the > >> results stated in the RESULTS file. Are we supposed to get exactly the > >> same numbers with the (hyper-)parameters given in the recipe? > >> > >> Just to give a sense of how far I'm off. My monophone models perform 10% > >> worse than the reported results on eval92 and the resulting triphone > >> models perform 4% worse. > >> > >> Thanks, > >> Hao > >> > >> > >> > ------------------------------------------------------------------------------ > >> How ServiceNow helps IT people transform IT departments: > >> 1. A cloud service to automate IT design, transition and operations > >> 2. Dashboards that offer high-level views of enterprise services > >> 3. A single system of record for all IT processes > >> http://p.sf.net/sfu/servicenow-d2d-j > >> _______________________________________________ > >> Kaldi-users mailing list > >> Kal...@li... > >> https://lists.sourceforge.net/lists/listinfo/kaldi-users > > > > > > > > > ------------------------------------------------------------------------------ > > How ServiceNow helps IT people transform IT departments: > > 1. A cloud service to automate IT design, transition and operations > > 2. Dashboards that offer high-level views of enterprise services > > 3. A single system of record for all IT processes > > http://p.sf.net/sfu/servicenow-d2d-j > > _______________________________________________ > > Kaldi-users mailing list > > Kal...@li... > > https://lists.sourceforge.net/lists/listinfo/kaldi-users > > > > > ------------------------------------------------------------------------------ > How ServiceNow helps IT people transform IT departments: > 1. A cloud service to automate IT design, transition and operations > 2. Dashboards that offer high-level views of enterprise services > 3. A single system of record for all IT processes > http://p.sf.net/sfu/servicenow-d2d-j > _______________________________________________ > Kaldi-users mailing list > Kal...@li... > https://lists.sourceforge.net/lists/listinfo/kaldi-users > |