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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
T=1 I=1 D=1
Seeding random number sequence to 2327685089
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 = +6.9
WordPenalty = -46.426
LanguageModel = +535.12
LanguageModel_OOV = -123.5
PhraseModel_0 = -160.73
PhraseModel_1 = -350.13
PhraseModel_2 = -187.81
PhraseModel_3 = +172.04
PhraseModel_4 = +0.90108
PhraseModel_5 = +21.6
PhraseModel_6 = +67.2
PassThrough = -149.7
---
1best avg score: 0.23327 (+0.23327)
1best avg model score: -9084.9 (-9084.9)
avg # pairs: 780.7
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
non0 feature count: 1389
avg list sz: 91.3
avg f count: 146.2
(time 0.37 min, 2.2 s/S)
Iteration #2 of 3.
. 10
WEIGHTS
Glue = -43
WordPenalty = -22.019
LanguageModel = +591.53
LanguageModel_OOV = -252.1
PhraseModel_0 = -120.21
PhraseModel_1 = -43.589
PhraseModel_2 = +73.53
PhraseModel_3 = +113.7
PhraseModel_4 = -223.81
PhraseModel_5 = +64
PhraseModel_6 = +54.8
PassThrough = -331.1
---
1best avg score: 0.29568 (+0.062413)
1best avg model score: -15879 (-6794.1)
avg # pairs: 566.1
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
non0 feature count: 1931
avg list sz: 91.3
avg f count: 139.89
(time 0.33 min, 2 s/S)
Iteration #3 of 3.
. 10
WEIGHTS
Glue = -44.3
WordPenalty = -131.85
LanguageModel = +230.91
LanguageModel_OOV = -285.4
PhraseModel_0 = -194.27
PhraseModel_1 = -294.83
PhraseModel_2 = -92.043
PhraseModel_3 = -140.24
PhraseModel_4 = +85.613
PhraseModel_5 = +238.1
PhraseModel_6 = +158.7
PassThrough = -359.6
---
1best avg score: 0.37375 (+0.078067)
1best avg model score: -14519 (+1359.7)
avg # pairs: 545.4
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
non0 feature count: 2218
avg list sz: 91.3
avg f count: 137.77
(time 0.35 min, 2.1 s/S)
Writing weights file to '-' ...
done
---
Best iteration: 3 [SCORE 'fixed_stupid_bleu'=0.37375].
This took 1.05 min.
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