diff options
Diffstat (limited to 'training/dtrain/examples/standard/expected-output')
| -rw-r--r-- | training/dtrain/examples/standard/expected-output | 116 |
1 files changed, 58 insertions, 58 deletions
diff --git a/training/dtrain/examples/standard/expected-output b/training/dtrain/examples/standard/expected-output index 75f47337..fa831221 100644 --- a/training/dtrain/examples/standard/expected-output +++ b/training/dtrain/examples/standard/expected-output @@ -4,7 +4,7 @@ Reading ./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 **************************************************************************************************** Example feature: Shape_S00000_T00000 -Seeding random number sequence to 3751911392 +Seeding random number sequence to 4138446869 dtrain Parameters: @@ -22,7 +22,7 @@ Parameters: pairs 'XYX' hi lo 0.1 pair threshold 0 - select weights 'VOID' + select weights 'avg' l1 reg 0 'none' pclr no max pairs 4294967295 @@ -36,87 +36,87 @@ Iteration #1 of 3. . 10 Stopping after 10 input sentences. WEIGHTS - Glue = -110 - WordPenalty = -8.2082 - LanguageModel = -319.91 - LanguageModel_OOV = -19.2 - PhraseModel_0 = +312.82 - PhraseModel_1 = -161.02 - PhraseModel_2 = -433.65 - PhraseModel_3 = +291.03 - PhraseModel_4 = +252.32 - PhraseModel_5 = +50.6 - PhraseModel_6 = +146.7 - PassThrough = -38.7 + Glue = -80.3 + WordPenalty = -51.247 + LanguageModel = +282.46 + LanguageModel_OOV = -85.8 + PhraseModel_0 = -100.06 + PhraseModel_1 = -98.692 + PhraseModel_2 = -9.4958 + PhraseModel_3 = +18.535 + PhraseModel_4 = +62.35 + PhraseModel_5 = +7 + PhraseModel_6 = +31.4 + PassThrough = -126.5 --- - 1best avg score: 0.16966 (+0.16966) - 1best avg model score: 29874 (+29874) - avg # pairs: 906.3 + 1best avg score: 0.25631 (+0.25631) + 1best avg model score: -4843.6 (-4843.6) + avg # pairs: 744.4 avg # rank err: 0 (meaningless) avg # margin viol: 0 k-best loss imp: 100% - non0 feature count: 832 + non0 feature count: 1274 avg list sz: 91.3 - avg f count: 139.77 -(time 0.35 min, 2.1 s/S) + avg f count: 143.72 +(time 0.4 min, 2.4 s/S) Iteration #2 of 3. . 10 WEIGHTS - Glue = -122.1 - WordPenalty = +83.689 - LanguageModel = +233.23 - LanguageModel_OOV = -145.1 - PhraseModel_0 = +150.72 - PhraseModel_1 = -272.84 - PhraseModel_2 = -418.36 - PhraseModel_3 = +181.63 - PhraseModel_4 = -289.47 - PhraseModel_5 = +140.3 - PhraseModel_6 = +3.5 - PassThrough = -109.7 + Glue = -117.4 + WordPenalty = -99.584 + LanguageModel = +395.05 + LanguageModel_OOV = -136.8 + PhraseModel_0 = +40.614 + PhraseModel_1 = -123.29 + PhraseModel_2 = -152 + PhraseModel_3 = -161.13 + PhraseModel_4 = -76.379 + PhraseModel_5 = +39.1 + PhraseModel_6 = +137.7 + PassThrough = -162.1 --- - 1best avg score: 0.17399 (+0.004325) - 1best avg model score: 4936.9 (-24937) - avg # pairs: 662.4 + 1best avg score: 0.26751 (+0.011198) + 1best avg model score: -10061 (-5216.9) + avg # pairs: 639.1 avg # rank err: 0 (meaningless) avg # margin viol: 0 k-best loss imp: 100% - non0 feature count: 1240 + non0 feature count: 1845 avg list sz: 91.3 - avg f count: 125.11 -(time 0.27 min, 1.6 s/S) + avg f count: 139.88 +(time 0.35 min, 2.1 s/S) Iteration #3 of 3. . 10 WEIGHTS - Glue = -157.4 - WordPenalty = -1.7372 - LanguageModel = +686.18 - LanguageModel_OOV = -399.7 - PhraseModel_0 = -39.876 - PhraseModel_1 = -341.96 - PhraseModel_2 = -318.67 - PhraseModel_3 = +105.08 - PhraseModel_4 = -290.27 - PhraseModel_5 = -48.6 - PhraseModel_6 = -43.6 - PassThrough = -298.5 + Glue = -101.1 + WordPenalty = -139.97 + LanguageModel = +327.98 + LanguageModel_OOV = -234.7 + PhraseModel_0 = -144.49 + PhraseModel_1 = -263.88 + PhraseModel_2 = -149.25 + PhraseModel_3 = -38.805 + PhraseModel_4 = +50.575 + PhraseModel_5 = -52.4 + PhraseModel_6 = +41.6 + PassThrough = -230.2 --- - 1best avg score: 0.30742 (+0.13343) - 1best avg model score: -15393 (-20329) - avg # pairs: 623.8 + 1best avg score: 0.36222 (+0.094717) + 1best avg model score: -17416 (-7355.5) + avg # pairs: 661.2 avg # rank err: 0 (meaningless) avg # margin viol: 0 k-best loss imp: 100% - non0 feature count: 1776 + non0 feature count: 2163 avg list sz: 91.3 - avg f count: 118.58 -(time 0.28 min, 1.7 s/S) + avg f count: 132.53 +(time 0.33 min, 2 s/S) Writing weights file to '-' ... done --- -Best iteration: 3 [SCORE 'fixed_stupid_bleu'=0.30742]. -This took 0.9 min. +Best iteration: 3 [SCORE 'fixed_stupid_bleu'=0.36222]. +This took 1.0833 min. |