cdec cfg 'cdec.ini'
Loading the LM will be faster if you build a binary file.
Reading ../example/nc-wmt11.en.srilm.gz
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****************************************************************************************************
Seeding random number sequence to 2767202922

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.0.0.in'
                    refs 'work/shard.0.0.refs'
                  output 'work/weights.0.1'
              weights in 'work/weights.0'
(a dot represents 10 inputs)
Iteration #1 of 1.
  5
WEIGHTS
              Glue = -0.2699
       WordPenalty = +0.080605
     LanguageModel = -0.026572
 LanguageModel_OOV = -0.30025
     PhraseModel_0 = -0.32076
     PhraseModel_1 = +0.67451
     PhraseModel_2 = +0.92
     PhraseModel_3 = -0.36402
     PhraseModel_4 = -0.592
     PhraseModel_5 = -0.0269
     PhraseModel_6 = -0.28755
       PassThrough = -0.33285
        ---
       1best avg score: 0.26638 (+0.26638)
 1best avg model score: 53.197 (+53.197)
           avg # pairs: 2028.6
        avg # rank err: 998.2
     avg # margin viol: 918.8
    non0 feature count: 12
           avg list sz: 100
           avg f count: 10.496
(time 0.32 min, 3.8 s/S)

Writing weights file to 'work/weights.0.1' ...
done

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Best iteration: 1 [SCORE 'stupid_bleu'=0.26638].
This took 0.31667 min.