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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 | 63 |
1 files changed, 0 insertions, 63 deletions
diff --git a/training/dtrain/examples/parallelized/work/out.1.1 b/training/dtrain/examples/parallelized/work/out.1.1 deleted file mode 100644 index f479fbbc..00000000 --- a/training/dtrain/examples/parallelized/work/out.1.1 +++ /dev/null @@ -1,63 +0,0 @@ - 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 2112412848 - -dtrain -Parameters: - k 100 - N 4 - T 1 - 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' - max pairs 4294967295 - cdec cfg 'cdec.ini' - input 'work/shard.1.0.in' - refs 'work/shard.1.0.refs' - output 'work/weights.1.1' - weights in 'work/weights.0' -(a dot represents 10 inputs) -Iteration #1 of 1. - 5 -WEIGHTS - Glue = -0.3178 - WordPenalty = +0.11092 - LanguageModel = +0.17269 - LanguageModel_OOV = -0.13485 - PhraseModel_0 = -0.45371 - PhraseModel_1 = +0.38789 - PhraseModel_2 = +0.75311 - PhraseModel_3 = -0.38163 - PhraseModel_4 = -0.58817 - PhraseModel_5 = -0.0269 - PhraseModel_6 = -0.27315 - PassThrough = -0.16745 - --- - 1best avg score: 0.13169 (+0.13169) - 1best avg model score: 24.226 (+24.226) - avg # pairs: 1951.2 - avg # rank err: 985.4 - avg # margin viol: 951 - non0 feature count: 12 - avg list sz: 100 - avg f count: 11.224 -(time 0.45 min, 5.4 s/S) - -Writing weights file to 'work/weights.1.1' ... -done - ---- -Best iteration: 1 [SCORE 'stupid_bleu'=0.13169]. -This took 0.45 min. |