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Diffstat (limited to 'training/dtrain/examples/parallelized/work/out.1.1')
| -rw-r--r-- | training/dtrain/examples/parallelized/work/out.1.1 | 74 |
1 files changed, 26 insertions, 48 deletions
diff --git a/training/dtrain/examples/parallelized/work/out.1.1 b/training/dtrain/examples/parallelized/work/out.1.1 index 9346fc82..79ac35dc 100644 --- a/training/dtrain/examples/parallelized/work/out.1.1 +++ b/training/dtrain/examples/parallelized/work/out.1.1 @@ -1,66 +1,44 @@ - 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 3557309480 - 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 '' + error margin 1 + l1 reg 0 + decoder conf 'cdec.ini' + input 'work/shard.1.0.in' output 'work/weights.1.1' weights in 'work/weights.0' -(a dot represents 10 inputs) +(a dot per input) Iteration #1 of 1. - 3 + .... 3 WEIGHTS - Glue = -0.26425 - WordPenalty = +0.047881 - LanguageModel = +0.78496 - LanguageModel_OOV = -0.49307 - PhraseModel_0 = -0.58703 - PhraseModel_1 = -0.33425 - PhraseModel_2 = +0.20834 - PhraseModel_3 = -0.043346 - PhraseModel_4 = -0.60761 - PhraseModel_5 = +0.123 - PhraseModel_6 = -0.05415 - PassThrough = -0.42167 + Glue = -0.20488 + WordPenalty = -0.0091745 + LanguageModel = +0.79433 + LanguageModel_OOV = -0.4309 + PhraseModel_0 = -0.56242 + PhraseModel_1 = +0.85363 + PhraseModel_2 = +1.3458 + PhraseModel_3 = -0.13095 + PhraseModel_4 = -0.94762 + PhraseModel_5 = +0.02435 + PhraseModel_6 = -0.16003 + PassThrough = -0.46105 --- - 1best avg score: 0.085952 (+0.085952) - 1best avg model score: -45.175 (-45.175) - avg # pairs: 1180.7 - avg # rank err: 668.33 - avg # margin viol: 512.33 - k-best loss imp: 100% - non0 feature count: 12 + 1best avg score: 0.13017 (+0.13017) + 1best avg model score: 14.53 + avg # pairs: 1968 + non-0 feature count: 12 avg list sz: 100 - avg f count: 12 -(time 0.27 min, 5.3 s/S) - -Writing weights file to 'work/weights.1.1' ... -done + avg f count: 11 +(time 0.33 min, 6 s/S) --- -Best iteration: 1 [SCORE 'stupid_bleu'=0.085952]. -This took 0.26667 min. +Best iteration: 1 [GOLD = 0.13017]. +This took 0.33333 min. |