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 4087834873 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.0.0' (a dot represents 10 inputs) Iteration #1 of 1. 3 WEIGHTS Glue = +0.257 WordPenalty = +0.026926 LanguageModel = +0.67342 LanguageModel_OOV = -0.046 PhraseModel_0 = +0.25329 PhraseModel_1 = +0.20036 PhraseModel_2 = +0.00060731 PhraseModel_3 = +0.65578 PhraseModel_4 = +0.47916 PhraseModel_5 = +0.004 PhraseModel_6 = +0.1829 PassThrough = -0.082 --- 1best avg score: 0.04518 (+0.04518) 1best avg model score: 32.803 (+32.803) avg # pairs: 1266.3 avg # rank err: 857 avg # margin viol: 386.67 k-best loss imp: 100% non0 feature count: 12 avg list sz: 100 avg f count: 10.853 (time 0.47 min, 9.3 s/S) Writing weights file to 'work/weights.0.0' ... done --- Best iteration: 1 [SCORE 'stupid_bleu'=0.04518]. This took 0.46667 min.