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 2662215673 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.2.0' (a dot represents 10 inputs) Iteration #1 of 1. 3 WEIGHTS Glue = -0.1259 WordPenalty = +0.048294 LanguageModel = +0.36254 LanguageModel_OOV = -0.1228 PhraseModel_0 = +0.26357 PhraseModel_1 = +0.24793 PhraseModel_2 = +0.0063763 PhraseModel_3 = -0.18966 PhraseModel_4 = -0.226 PhraseModel_5 = +0 PhraseModel_6 = +0.0743 PassThrough = -0.1335 --- 1best avg score: 0.072836 (+0.072836) 1best avg model score: -0.56296 (-0.56296) avg # pairs: 1094.7 avg # rank err: 658 avg # margin viol: 436.67 k-best loss imp: 100% non0 feature count: 11 avg list sz: 100 avg f count: 10.813 (time 0.13 min, 2.7 s/S) Writing weights file to 'work/weights.2.0' ... done --- Best iteration: 1 [SCORE 'stupid_bleu'=0.072836]. This took 0.13333 min.