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cdec cfg 'cdec.ini'
Loading the LM will be faster if you build a binary file.
Reading ../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
****************************************************************************************************
Seeding random number sequence to 1432415010
dtrain
Parameters:
k 100
N 4
T 1
scorer 'stupid_bleu'
sample from 'kbest'
filter 'uniq'
learning rate 0.0001
gamma 0
loss margin 1
pairs 'XYX'
hi lo 0.1
pair threshold 0
select weights 'last'
l1 reg 0 'none'
max pairs 4294967295
cdec cfg 'cdec.ini'
input 'work/shard.1.0.in'
refs 'work/shard.1.0.refs'
output 'work/weights.1.0'
(a dot represents 10 inputs)
Iteration #1 of 1.
5
WEIGHTS
Glue = -0.3815
WordPenalty = +0.20064
LanguageModel = +0.95304
LanguageModel_OOV = -0.264
PhraseModel_0 = -0.22362
PhraseModel_1 = +0.12254
PhraseModel_2 = +0.26328
PhraseModel_3 = +0.38018
PhraseModel_4 = -0.48654
PhraseModel_5 = +0
PhraseModel_6 = -0.3645
PassThrough = -0.2216
---
1best avg score: 0.10863 (+0.10863)
1best avg model score: -4.9841 (-4.9841)
avg # pairs: 1345.4
avg # rank err: 822.4
avg # margin viol: 501
non0 feature count: 11
avg list sz: 100
avg f count: 11.814
(time 0.45 min, 5.4 s/S)
Writing weights file to 'work/weights.1.0' ...
done
---
Best iteration: 1 [SCORE 'stupid_bleu'=0.10863].
This took 0.45 min.
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