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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.