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From: Mailing l. u. f. U. C. a. U. <kal...@li...> - 2013-06-03 21:00:27
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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
>>
>>
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>
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