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 3001145976 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.3.2' weights in 'work/weights.1' (a dot represents 10 inputs) Iteration #1 of 1. 1 WEIGHTS Glue = -0.13247 WordPenalty = +0.053592 LanguageModel = +0.72105 LanguageModel_OOV = -0.30827 PhraseModel_0 = -0.37053 PhraseModel_1 = +0.17551 PhraseModel_2 = +0.5 PhraseModel_3 = -0.1459 PhraseModel_4 = -0.59563 PhraseModel_5 = +0.03475 PhraseModel_6 = -0.11143 PassThrough = -0.32553 --- 1best avg score: 0.12501 (+0.12501) 1best avg model score: -62.128 (-62.128) avg # pairs: 979 avg # rank err: 539 avg # margin viol: 440 k-best loss imp: 100% non0 feature count: 12 avg list sz: 100 avg f count: 12 (time 0.22 min, 13 s/S) Writing weights file to 'work/weights.3.2' ... done --- Best iteration: 1 [SCORE 'stupid_bleu'=0.12501]. This took 0.21667 min.