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Diffstat (limited to 'training/dtrain/examples/parallelized/work/out.1.2')
| -rw-r--r-- | training/dtrain/examples/parallelized/work/out.1.2 | 74 |
1 files changed, 26 insertions, 48 deletions
diff --git a/training/dtrain/examples/parallelized/work/out.1.2 b/training/dtrain/examples/parallelized/work/out.1.2 index 08f07a75..8c4f8b03 100644 --- a/training/dtrain/examples/parallelized/work/out.1.2 +++ b/training/dtrain/examples/parallelized/work/out.1.2 @@ -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 56743915 - 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.1.2' weights in 'work/weights.1' -(a dot represents 10 inputs) +(a dot per input) Iteration #1 of 1. - 3 + .... 3 WEIGHTS - Glue = -0.23608 - WordPenalty = +0.10931 - LanguageModel = +0.81339 - LanguageModel_OOV = -0.33238 - PhraseModel_0 = -0.53685 - PhraseModel_1 = -0.049658 - PhraseModel_2 = +0.40277 - PhraseModel_3 = +0.14601 - PhraseModel_4 = -0.72851 - PhraseModel_5 = +0.03475 - PhraseModel_6 = -0.27192 - PassThrough = -0.34763 + Glue = -0.49853 + WordPenalty = +0.07636 + LanguageModel = +1.3183 + LanguageModel_OOV = -0.60902 + PhraseModel_0 = -0.22481 + PhraseModel_1 = +0.86369 + PhraseModel_2 = +1.0747 + PhraseModel_3 = +0.18002 + PhraseModel_4 = -0.84661 + PhraseModel_5 = +0.02435 + PhraseModel_6 = +0.11247 + PassThrough = -0.63918 --- - 1best avg score: 0.10073 (+0.10073) - 1best avg model score: -38.422 (-38.422) - avg # pairs: 1505.3 - avg # rank err: 777 - avg # margin viol: 691.67 - k-best loss imp: 100% - non0 feature count: 12 + 1best avg score: 0.15478 (+0.15478) + 1best avg model score: -7.2154 + avg # pairs: 1776 + non-0 feature count: 12 avg list sz: 100 - avg f count: 12 -(time 0.35 min, 7 s/S) - -Writing weights file to 'work/weights.1.2' ... -done + avg f count: 11.327 +(time 0.27 min, 5 s/S) --- -Best iteration: 1 [SCORE 'stupid_bleu'=0.10073]. -This took 0.35 min. +Best iteration: 1 [GOLD = 0.15478]. +This took 0.26667 min. |