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cdec cfg 'test/example/cdec.ini'
Loading the LM will be faster if you build a binary file.
Reading test/example/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 2108658507
dtrain
Parameters:
k 100
N 4
T 3
scorer 'stupid_bleu'
sample from 'kbest'
filter 'uniq'
learning rate 0.0001
gamma 0
loss margin 0
pairs 'XYX'
hi lo 0.1
pair threshold 0
select weights 'VOID'
l1 reg 0 'none'
max pairs 4294967295
cdec cfg 'test/example/cdec.ini'
input 'test/example/nc-wmt11.1k.gz'
output '-'
stop_after 100
(a dot represents 10 inputs)
Iteration #1 of 3.
.......... 100
Stopping after 100 input sentences.
WEIGHTS
Glue = -0.236
WordPenalty = +0.056111
LanguageModel = +0.71011
LanguageModel_OOV = -0.489
PhraseModel_0 = -0.21332
PhraseModel_1 = -0.13038
PhraseModel_2 = +0.085148
PhraseModel_3 = -0.16982
PhraseModel_4 = -0.026332
PhraseModel_5 = +0.2133
PhraseModel_6 = +0.1002
PassThrough = -0.5541
---
1best avg score: 0.16928 (+0.16928)
1best avg model score: 2.4454 (+2.4454)
avg # pairs: 1616.2
avg # rank err: 769.6
avg # margin viol: 0
non0 feature count: 4068
avg list sz: 96.65
avg f count: 118.01
(time 1.3 min, 0.79 s/S)
Iteration #2 of 3.
.......... 100
WEIGHTS
Glue = -0.1721
WordPenalty = -0.14132
LanguageModel = +0.56023
LanguageModel_OOV = -0.6786
PhraseModel_0 = +0.14155
PhraseModel_1 = +0.34218
PhraseModel_2 = +0.22954
PhraseModel_3 = -0.24762
PhraseModel_4 = -0.25848
PhraseModel_5 = -0.0453
PhraseModel_6 = -0.0264
PassThrough = -0.7436
---
1best avg score: 0.19585 (+0.02657)
1best avg model score: -16.311 (-18.757)
avg # pairs: 1475.8
avg # rank err: 668.48
avg # margin viol: 0
non0 feature count: 6300
avg list sz: 96.08
avg f count: 114.92
(time 1.3 min, 0.76 s/S)
Iteration #3 of 3.
.......... 100
WEIGHTS
Glue = -0.1577
WordPenalty = -0.086902
LanguageModel = +0.30136
LanguageModel_OOV = -0.7848
PhraseModel_0 = +0.11743
PhraseModel_1 = +0.11142
PhraseModel_2 = -0.0053865
PhraseModel_3 = -0.18731
PhraseModel_4 = -0.67144
PhraseModel_5 = +0.1236
PhraseModel_6 = -0.2665
PassThrough = -0.8498
---
1best avg score: 0.20034 (+0.0044978)
1best avg model score: -7.2775 (+9.0336)
avg # pairs: 1578.6
avg # rank err: 705.77
avg # margin viol: 0
non0 feature count: 7313
avg list sz: 96.84
avg f count: 124.48
(time 1.5 min, 0.9 s/S)
Writing weights file to '-' ...
done
---
Best iteration: 3 [SCORE 'stupid_bleu'=0.20034].
This took 4.0833 min.
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