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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 3751911392
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 'VOID'
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 = -110
WordPenalty = -8.2082
LanguageModel = -319.91
LanguageModel_OOV = -19.2
PhraseModel_0 = +312.82
PhraseModel_1 = -161.02
PhraseModel_2 = -433.65
PhraseModel_3 = +291.03
PhraseModel_4 = +252.32
PhraseModel_5 = +50.6
PhraseModel_6 = +146.7
PassThrough = -38.7
---
1best avg score: 0.16966 (+0.16966)
1best avg model score: 29874 (+29874)
avg # pairs: 906.3
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
non0 feature count: 832
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 = -122.1
WordPenalty = +83.689
LanguageModel = +233.23
LanguageModel_OOV = -145.1
PhraseModel_0 = +150.72
PhraseModel_1 = -272.84
PhraseModel_2 = -418.36
PhraseModel_3 = +181.63
PhraseModel_4 = -289.47
PhraseModel_5 = +140.3
PhraseModel_6 = +3.5
PassThrough = -109.7
---
1best avg score: 0.17399 (+0.004325)
1best avg model score: 4936.9 (-24937)
avg # pairs: 662.4
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
non0 feature count: 1240
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 = -157.4
WordPenalty = -1.7372
LanguageModel = +686.18
LanguageModel_OOV = -399.7
PhraseModel_0 = -39.876
PhraseModel_1 = -341.96
PhraseModel_2 = -318.67
PhraseModel_3 = +105.08
PhraseModel_4 = -290.27
PhraseModel_5 = -48.6
PhraseModel_6 = -43.6
PassThrough = -298.5
---
1best avg score: 0.30742 (+0.13343)
1best avg model score: -15393 (-20329)
avg # pairs: 623.8
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
non0 feature count: 1776
avg list sz: 91.3
avg f count: 118.58
(time 0.28 min, 1.7 s/S)
Writing weights file to '-' ...
done
---
Best iteration: 3 [SCORE 'fixed_stupid_bleu'=0.30742].
This took 0.9 min.
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