cdec cfg 'cdec.ini' 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 **************************************************************************************************** Seeding random number sequence to 1673913538 dtrain Parameters: k 100 N 4 T 1 batch 0 scorer 'stupid_bleu' sample from 'kbest' filter 'uniq' learning rate 0.0001 gamma 0 loss margin 1 faster perceptron 0 pairs 'XYX' hi lo 0.1 pair threshold 0 select weights 'last' l1 reg 0 'none' pclr no max pairs 4294967295 repeat 1 cdec cfg 'cdec.ini' input '' output 'work/weights.1.1' weights in 'work/weights.0' (a dot represents 10 inputs) Iteration #1 of 1. 3 WEIGHTS Glue = -0.15575 WordPenalty = +0.14939 LanguageModel = +0.95915 LanguageModel_OOV = -0.42267 PhraseModel_0 = -0.46337 PhraseModel_1 = +0.36682 PhraseModel_2 = +0.79339 PhraseModel_3 = +0.27497 PhraseModel_4 = -1.2038 PhraseModel_5 = +0.061325 PhraseModel_6 = -0.11143 PassThrough = -0.45405 --- 1best avg score: 0.057772 (+0.057772) 1best avg model score: -59.945 (-59.945) avg # pairs: 1647 avg # rank err: 878 avg # margin viol: 564.67 k-best loss imp: 100% non0 feature count: 12 avg list sz: 100 avg f count: 11.973 (time 0.42 min, 8.3 s/S) Writing weights file to 'work/weights.1.1' ... done --- Best iteration: 1 [SCORE 'stupid_bleu'=0.057772]. This took 0.41667 min.