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Loading the LM will be faster if you build a binary file.
Reading ../standard/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
dtrain
Parameters:
k 100
N 4
T 1
learning rate 0.0001
margin 1
l1 reg 0
decoder conf 'cdec.ini'
input 'work/shard.0.0'
output 'work/weights.0.1'
weights in 'work/weights.0'
(1 dot per processed input)
Iteration #1 of 1.
... 3
WEIGHTS
Glue = +0.08417
WordPenalty = +0.1674
LanguageModel = +0.5448
LanguageModel_OOV = -0.6311
PhraseModel_0 = -0.2931
PhraseModel_1 = +1.173
PhraseModel_2 = +1.369
PhraseModel_3 = +0.1819
PhraseModel_4 = -0.8439
PhraseModel_5 = +0.02055
PhraseModel_6 = -0.3794
PassThrough = -0.6827
---
1best avg score: 16.83 (+16.83)
1best avg model score: +66.56
avg # updates: 2090
non-0 feature count: 2218
avg f count: 142.5
avg list sz: 100
(time 0.1833 min, 3 s/S)
---
Best iteration: 1 [GOLD = 16.83].
This took 0.1833 min.
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