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 1771918374

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.1.0.in'
                    refs 'work/shard.1.0.refs'
                  output 'work/weights.1.1'
              weights in 'work/weights.0'
(a dot represents 10 inputs)
Iteration #1 of 1.
  5
WEIGHTS
              Glue = -0.3178
       WordPenalty = +0.11092
     LanguageModel = +0.17269
 LanguageModel_OOV = -0.13485
     PhraseModel_0 = -0.45371
     PhraseModel_1 = +0.38789
     PhraseModel_2 = +0.75311
     PhraseModel_3 = -0.38163
     PhraseModel_4 = -0.58817
     PhraseModel_5 = -0.0269
     PhraseModel_6 = -0.27315
       PassThrough = -0.16745
        ---
       1best avg score: 0.13169 (+0.13169)
 1best avg model score: 24.226 (+24.226)
           avg # pairs: 1951.2
        avg # rank err: 985.4
     avg # margin viol: 951
    non0 feature count: 12
           avg list sz: 100
           avg f count: 11.224
(time 0.42 min, 5 s/S)

Writing weights file to 'work/weights.1.1' ...
done

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Best iteration: 1 [SCORE 'stupid_bleu'=0.13169].
This took 0.41667 min.