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author | Patrick Simianer <p@simianer.de> | 2015-01-23 16:06:11 +0100 |
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committer | Patrick Simianer <p@simianer.de> | 2015-01-23 16:06:11 +0100 |
commit | 5cc49af3caee21a0b745d949431378acb6b62fdc (patch) | |
tree | 23e81b35f6cf1a1c5599f396b598abcdaf39683d /training/dtrain/examples/parallelized/work/out.0.2 | |
parent | 32dea3f24e56ac7c17343457c48f750f16838742 (diff) |
updated parallelized example
Diffstat (limited to 'training/dtrain/examples/parallelized/work/out.0.2')
-rw-r--r-- | training/dtrain/examples/parallelized/work/out.0.2 | 66 |
1 files changed, 66 insertions, 0 deletions
diff --git a/training/dtrain/examples/parallelized/work/out.0.2 b/training/dtrain/examples/parallelized/work/out.0.2 new file mode 100644 index 00000000..62bf8bb9 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/out.0.2 @@ -0,0 +1,66 @@ + 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 2696902705 + +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.0.2' + weights in 'work/weights.1' +(a dot represents 10 inputs) +Iteration #1 of 1. + 3 +WEIGHTS + Glue = -0.2741 + WordPenalty = +0.1227 + LanguageModel = +0.82597 + LanguageModel_OOV = -0.52135 + PhraseModel_0 = -0.68526 + PhraseModel_1 = +0.27265 + PhraseModel_2 = +0.87438 + PhraseModel_3 = -0.00012234 + PhraseModel_4 = -1.0912 + PhraseModel_5 = +0.0371 + PhraseModel_6 = -0.2855 + PassThrough = -0.4831 + --- + 1best avg score: 0.12697 (+0.12697) + 1best avg model score: -1.7396 (-1.7396) + avg # pairs: 1280.3 + avg # rank err: 764.33 + avg # margin viol: 507 + k-best loss imp: 100% + non0 feature count: 12 + avg list sz: 100 + avg f count: 10.727 +(time 0.28 min, 5.7 s/S) + +Writing weights file to 'work/weights.0.2' ... +done + +--- +Best iteration: 1 [SCORE 'stupid_bleu'=0.12697]. +This took 0.28333 min. |