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 3524794953 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 = -0.2581 WordPenalty = +0.091647 LanguageModel = +0.77537 LanguageModel_OOV = -0.57165 PhraseModel_0 = -0.5794 PhraseModel_1 = +0.46929 PhraseModel_2 = +0.95471 PhraseModel_3 = +0.12107 PhraseModel_4 = -1.0053 PhraseModel_5 = +0.0371 PhraseModel_6 = -0.3253 PassThrough = -0.5334 --- 1best avg score: 0.10945 (+0.10945) 1best avg model score: -23.077 (-23.077) avg # pairs: 1545 avg # rank err: 987 avg # margin viol: 558 k-best loss imp: 100% non0 feature count: 12 avg list sz: 100 avg f count: 12 (time 0.12 min, 7 s/S) Writing weights file to 'work/weights.3.2' ... done --- Best iteration: 1 [SCORE 'stupid_bleu'=0.10945]. This took 0.11667 min.