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cdec cfg './cdec.ini'
Loading the LM will be faster if you build a binary file.
Reading ./nc-wmt11.en.srilm.gz
----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100
****************************************************************************************************
Example feature: Shape_S00000_T00000
Seeding random number sequence to 4049211323
dtrain
Parameters:
k 100
N 4
T 3
scorer 'fixed_stupid_bleu'
sample from 'kbest'
filter 'uniq'
learning rate 1
gamma 0
loss margin 0
faster perceptron 1
pairs 'XYX'
hi lo 0.1
pair threshold 0
select weights 'VOID'
l1 reg 0 'none'
pclr no
max pairs 4294967295
cdec cfg './cdec.ini'
input './nc-wmt11.de.gz'
refs './nc-wmt11.en.gz'
output '-'
stop_after 10
(a dot represents 10 inputs)
Iteration #1 of 3.
. 10
Stopping after 10 input sentences.
WEIGHTS
Glue = -1100
WordPenalty = -82.082
LanguageModel = -3199.1
LanguageModel_OOV = -192
PhraseModel_0 = +3128.2
PhraseModel_1 = -1610.2
PhraseModel_2 = -4336.5
PhraseModel_3 = +2910.3
PhraseModel_4 = +2523.2
PhraseModel_5 = +506
PhraseModel_6 = +1467
PassThrough = -387
---
1best avg score: 0.16966 (+0.16966)
1best avg model score: 2.9874e+05 (+2.9874e+05)
avg # pairs: 906.3 (meaningless)
avg # rank err: 906.3
avg # margin viol: 0
non0 feature count: 825
avg list sz: 91.3
avg f count: 139.77
(time 0.35 min, 2.1 s/S)
Iteration #2 of 3.
. 10
WEIGHTS
Glue = -1221
WordPenalty = +836.89
LanguageModel = +2332.3
LanguageModel_OOV = -1451
PhraseModel_0 = +1507.2
PhraseModel_1 = -2728.4
PhraseModel_2 = -4183.6
PhraseModel_3 = +1816.3
PhraseModel_4 = -2894.7
PhraseModel_5 = +1403
PhraseModel_6 = +35
PassThrough = -1097
---
1best avg score: 0.17399 (+0.004325)
1best avg model score: 49369 (-2.4937e+05)
avg # pairs: 662.4 (meaningless)
avg # rank err: 662.4
avg # margin viol: 0
non0 feature count: 1235
avg list sz: 91.3
avg f count: 125.11
(time 0.27 min, 1.6 s/S)
Iteration #3 of 3.
. 10
WEIGHTS
Glue = -1574
WordPenalty = -17.372
LanguageModel = +6861.8
LanguageModel_OOV = -3997
PhraseModel_0 = -398.76
PhraseModel_1 = -3419.6
PhraseModel_2 = -3186.7
PhraseModel_3 = +1050.8
PhraseModel_4 = -2902.7
PhraseModel_5 = -486
PhraseModel_6 = -436
PassThrough = -2985
---
1best avg score: 0.30742 (+0.13343)
1best avg model score: -1.5393e+05 (-2.0329e+05)
avg # pairs: 623.8 (meaningless)
avg # rank err: 623.8
avg # margin viol: 0
non0 feature count: 1770
avg list sz: 91.3
avg f count: 118.58
(time 0.25 min, 1.5 s/S)
Writing weights file to '-' ...
done
---
Best iteration: 3 [SCORE 'fixed_stupid_bleu'=0.30742].
This took 0.86667 min.
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