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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 4138446869
dtrain
Parameters:
k 100
N 4
T 3
batch 0
scorer 'fixed_stupid_bleu'
sample from 'kbest'
filter 'uniq'
learning rate 0.1
gamma 0
loss margin 0
faster perceptron 1
pairs 'XYX'
hi lo 0.1
pair threshold 0
select weights 'avg'
l1 reg 0 'none'
pclr no
max pairs 4294967295
repeat 1
cdec cfg './cdec.ini'
input './nc-wmt11.gz'
output '-'
stop_after 10
(a dot represents 10 inputs)
Iteration #1 of 3.
. 10
Stopping after 10 input sentences.
WEIGHTS
Glue = -80.3
WordPenalty = -51.247
LanguageModel = +282.46
LanguageModel_OOV = -85.8
PhraseModel_0 = -100.06
PhraseModel_1 = -98.692
PhraseModel_2 = -9.4958
PhraseModel_3 = +18.535
PhraseModel_4 = +62.35
PhraseModel_5 = +7
PhraseModel_6 = +31.4
PassThrough = -126.5
---
1best avg score: 0.25631 (+0.25631)
1best avg model score: -4843.6 (-4843.6)
avg # pairs: 744.4
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
non0 feature count: 1274
avg list sz: 91.3
avg f count: 143.72
(time 0.4 min, 2.4 s/S)
Iteration #2 of 3.
. 10
WEIGHTS
Glue = -117.4
WordPenalty = -99.584
LanguageModel = +395.05
LanguageModel_OOV = -136.8
PhraseModel_0 = +40.614
PhraseModel_1 = -123.29
PhraseModel_2 = -152
PhraseModel_3 = -161.13
PhraseModel_4 = -76.379
PhraseModel_5 = +39.1
PhraseModel_6 = +137.7
PassThrough = -162.1
---
1best avg score: 0.26751 (+0.011198)
1best avg model score: -10061 (-5216.9)
avg # pairs: 639.1
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
non0 feature count: 1845
avg list sz: 91.3
avg f count: 139.88
(time 0.35 min, 2.1 s/S)
Iteration #3 of 3.
. 10
WEIGHTS
Glue = -101.1
WordPenalty = -139.97
LanguageModel = +327.98
LanguageModel_OOV = -234.7
PhraseModel_0 = -144.49
PhraseModel_1 = -263.88
PhraseModel_2 = -149.25
PhraseModel_3 = -38.805
PhraseModel_4 = +50.575
PhraseModel_5 = -52.4
PhraseModel_6 = +41.6
PassThrough = -230.2
---
1best avg score: 0.36222 (+0.094717)
1best avg model score: -17416 (-7355.5)
avg # pairs: 661.2
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
non0 feature count: 2163
avg list sz: 91.3
avg f count: 132.53
(time 0.33 min, 2 s/S)
Writing weights file to '-' ...
done
---
Best iteration: 3 [SCORE 'fixed_stupid_bleu'=0.36222].
This took 1.0833 min.
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