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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.2.0'
output 'work/weights.2.1'
weights in 'work/weights.0'
(1 dot per processed input)
Iteration #1 of 1.
... 3
WEIGHTS
Glue = -0.2622
WordPenalty = +0.3185
LanguageModel = +1.89
LanguageModel_OOV = -0.6097
PhraseModel_0 = +0.09434
PhraseModel_1 = +0.2635
PhraseModel_2 = +0.1182
PhraseModel_3 = +1.151
PhraseModel_4 = -0.7466
PhraseModel_5 = +0.02055
PhraseModel_6 = -0.3454
PassThrough = -0.6294
---
1best avg score: 9.998 (+9.998)
1best avg model score: -27.44
avg # updates: 1910
non-0 feature count: 2256
avg f count: 148.7
avg list sz: 100
(time 0.2 min, 4 s/S)
---
Best iteration: 1 [GOLD = 9.998].
This took 0.2 min.
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