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Diffstat (limited to 'training/dtrain/examples/parallelized/work/out.3.1')
| -rw-r--r-- | training/dtrain/examples/parallelized/work/out.3.1 | 72 |
1 files changed, 25 insertions, 47 deletions
diff --git a/training/dtrain/examples/parallelized/work/out.3.1 b/training/dtrain/examples/parallelized/work/out.3.1 index 241d3455..c4b3aa3c 100644 --- a/training/dtrain/examples/parallelized/work/out.3.1 +++ b/training/dtrain/examples/parallelized/work/out.3.1 @@ -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 353677750 - 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.3.0.in' output 'work/weights.3.1' weights in 'work/weights.0' -(a dot represents 10 inputs) +(a dot per input) Iteration #1 of 1. - 1 + .. 1 WEIGHTS - Glue = -0.08475 - WordPenalty = +0.11151 - LanguageModel = +1.0635 - LanguageModel_OOV = -0.11468 - PhraseModel_0 = -0.062922 - PhraseModel_1 = +0.0035552 - PhraseModel_2 = +0.039692 - PhraseModel_3 = +0.080265 - PhraseModel_4 = -0.57787 - PhraseModel_5 = +0.0174 - PhraseModel_6 = -0.17095 - PassThrough = -0.18248 + Glue = +0.31832 + WordPenalty = +0.11139 + LanguageModel = +0.95438 + LanguageModel_OOV = -0.0608 + PhraseModel_0 = -0.98113 + PhraseModel_1 = -0.090531 + PhraseModel_2 = +0.79088 + PhraseModel_3 = -0.57623 + PhraseModel_4 = -1.4382 + PhraseModel_5 = +0.02435 + PhraseModel_6 = -0.10812 + PassThrough = -0.09095 --- - 1best avg score: 0.16117 (+0.16117) - 1best avg model score: -67.89 (-67.89) - avg # pairs: 1411 - avg # rank err: 460 - avg # margin viol: 951 - k-best loss imp: 100% - non0 feature count: 12 + 1best avg score: 0.084989 (+0.084989) + 1best avg model score: -52.323 + avg # pairs: 2487 + non-0 feature count: 12 avg list sz: 100 avg f count: 12 -(time 0.22 min, 13 s/S) - -Writing weights file to 'work/weights.3.1' ... -done +(time 0.1 min, 6 s/S) --- -Best iteration: 1 [SCORE 'stupid_bleu'=0.16117]. -This took 0.21667 min. +Best iteration: 1 [GOLD = 0.084989]. +This took 0.1 min. |