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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.0.2'
weights in 'work/weights.1'
(1 dot per processed input)
Iteration #1 of 1.
... 3
WEIGHTS
Glue = -0.1266
WordPenalty = +0.2244
LanguageModel = +0.4891
LanguageModel_OOV = -0.6065
PhraseModel_0 = -0.634
PhraseModel_1 = +0.6576
PhraseModel_2 = +1.165
PhraseModel_3 = +0.01649
PhraseModel_4 = -0.8815
PhraseModel_5 = +0.04098
PhraseModel_6 = -0.5361
PassThrough = -0.6292
---
1best avg score: 27.3 (+27.3)
1best avg model score: +27.47
avg # updates: 1764
non-0 feature count: 2824
avg f count: 153
avg list sz: 100
(time 0.1833 min, 3 s/S)
---
Best iteration: 1 [GOLD = 27.3].
This took 0.1833 min.
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