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author | Chris Dyer <redpony@gmail.com> | 2013-08-08 13:32:44 -0700 |
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committer | Chris Dyer <redpony@gmail.com> | 2013-08-08 13:32:44 -0700 |
commit | 951e7daa9539ffe640f9421897c374f786af53e7 (patch) | |
tree | 321898257090cc623fa7ea10d81b8e83126a5a0b /training/dtrain/examples/standard/expected-output | |
parent | f4a3a2547316ca5d31366e6808858fe94981415c (diff) | |
parent | af2b10dd036aa0088cfef108c1c9713b7e2d9f8f (diff) |
Merge pull request #24 from pks/master
current dtrain version
Diffstat (limited to 'training/dtrain/examples/standard/expected-output')
-rw-r--r-- | training/dtrain/examples/standard/expected-output | 86 |
1 files changed, 43 insertions, 43 deletions
diff --git a/training/dtrain/examples/standard/expected-output b/training/dtrain/examples/standard/expected-output index 7cd09dbf..21f91244 100644 --- a/training/dtrain/examples/standard/expected-output +++ b/training/dtrain/examples/standard/expected-output @@ -4,14 +4,14 @@ 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 2679584485 +Seeding random number sequence to 970626287 dtrain Parameters: k 100 N 4 T 2 - scorer 'stupid_bleu' + scorer 'fixed_stupid_bleu' sample from 'kbest' filter 'uniq' learning rate 1 @@ -34,58 +34,58 @@ Iteration #1 of 2. . 10 Stopping after 10 input sentences. WEIGHTS - Glue = -576 - WordPenalty = +417.79 - LanguageModel = +5117.5 - LanguageModel_OOV = -1307 - PhraseModel_0 = -1612 - PhraseModel_1 = -2159.6 - PhraseModel_2 = -677.36 - PhraseModel_3 = +2663.8 - PhraseModel_4 = -1025.9 - PhraseModel_5 = -8 - PhraseModel_6 = +70 - PassThrough = -1455 + Glue = -614 + WordPenalty = +1256.8 + LanguageModel = +5610.5 + LanguageModel_OOV = -1449 + PhraseModel_0 = -2107 + PhraseModel_1 = -4666.1 + PhraseModel_2 = -2713.5 + PhraseModel_3 = +4204.3 + PhraseModel_4 = -1435.8 + PhraseModel_5 = +916 + PhraseModel_6 = +190 + PassThrough = -2527 --- - 1best avg score: 0.27697 (+0.27697) - 1best avg model score: -47918 (-47918) - avg # pairs: 581.9 (meaningless) - avg # rank err: 581.9 + 1best avg score: 0.17874 (+0.17874) + 1best avg model score: 88399 (+88399) + avg # pairs: 798.2 (meaningless) + avg # rank err: 798.2 avg # margin viol: 0 - non0 feature count: 703 - avg list sz: 90.9 - avg f count: 100.09 -(time 0.25 min, 1.5 s/S) + non0 feature count: 887 + avg list sz: 91.3 + avg f count: 126.85 +(time 0.33 min, 2 s/S) Iteration #2 of 2. . 10 WEIGHTS - Glue = -622 - WordPenalty = +898.56 - LanguageModel = +8066.2 - LanguageModel_OOV = -2590 - PhraseModel_0 = -4335.8 - PhraseModel_1 = -5864.4 - PhraseModel_2 = -1729.8 - PhraseModel_3 = +2831.9 - PhraseModel_4 = -5384.8 - PhraseModel_5 = +1449 - PhraseModel_6 = +480 - PassThrough = -2578 + Glue = -1025 + WordPenalty = +1751.5 + LanguageModel = +10059 + LanguageModel_OOV = -4490 + PhraseModel_0 = -2640.7 + PhraseModel_1 = -3757.4 + PhraseModel_2 = -1133.1 + PhraseModel_3 = +1837.3 + PhraseModel_4 = -3534.3 + PhraseModel_5 = +2308 + PhraseModel_6 = +1677 + PassThrough = -6222 --- - 1best avg score: 0.37119 (+0.094226) - 1best avg model score: -1.3174e+05 (-83822) - avg # pairs: 584.1 (meaningless) - avg # rank err: 584.1 + 1best avg score: 0.30764 (+0.12891) + 1best avg model score: -2.5042e+05 (-3.3882e+05) + avg # pairs: 725.9 (meaningless) + avg # rank err: 725.9 avg # margin viol: 0 - non0 feature count: 1115 + non0 feature count: 1499 avg list sz: 91.3 - avg f count: 90.755 -(time 0.3 min, 1.8 s/S) + avg f count: 114.34 +(time 0.32 min, 1.9 s/S) Writing weights file to '-' ... done --- -Best iteration: 2 [SCORE 'stupid_bleu'=0.37119]. -This took 0.55 min. +Best iteration: 2 [SCORE 'fixed_stupid_bleu'=0.30764]. +This took 0.65 min. |