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author | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2012-11-18 13:35:42 -0500 |
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committer | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2012-11-18 13:35:42 -0500 |
commit | 1b8181bf0d6e9137e6b9ccdbe414aec37377a1a9 (patch) | |
tree | 33e5f3aa5abff1f41314cf8f6afbd2c2c40e4bfd /training/dtrain/test/example/expected-output | |
parent | 7c4665949fb93fb3de402e4ce1d19bef67850d05 (diff) |
major restructure of the training code
Diffstat (limited to 'training/dtrain/test/example/expected-output')
-rw-r--r-- | training/dtrain/test/example/expected-output | 89 |
1 files changed, 89 insertions, 0 deletions
diff --git a/training/dtrain/test/example/expected-output b/training/dtrain/test/example/expected-output new file mode 100644 index 00000000..05326763 --- /dev/null +++ b/training/dtrain/test/example/expected-output @@ -0,0 +1,89 @@ + cdec cfg 'test/example/cdec.ini' +Loading the LM will be faster if you build a binary file. +Reading test/example/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 2912000813 + +dtrain +Parameters: + k 100 + N 4 + T 2 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 1 + gamma 0 + loss margin 0 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'VOID' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg 'test/example/cdec.ini' + input 'test/example/nc-wmt11.1k.gz' + output '-' + stop_after 10 +(a dot represents 10 inputs) +Iteration #1 of 2. + . 10 +Stopping after 10 input sentences. +WEIGHTS + Glue = -637 + WordPenalty = +1064 + LanguageModel = +1175.3 + LanguageModel_OOV = -1437 + PhraseModel_0 = +1935.6 + PhraseModel_1 = +2499.3 + PhraseModel_2 = +964.96 + PhraseModel_3 = +1410.8 + PhraseModel_4 = -5977.9 + PhraseModel_5 = +522 + PhraseModel_6 = +1089 + PassThrough = -1308 + --- + 1best avg score: 0.16963 (+0.16963) + 1best avg model score: 64485 (+64485) + avg # pairs: 1494.4 + avg # rank err: 702.6 + avg # margin viol: 0 + non0 feature count: 528 + avg list sz: 85.7 + avg f count: 102.75 +(time 0.083 min, 0.5 s/S) + +Iteration #2 of 2. + . 10 +WEIGHTS + Glue = -1196 + WordPenalty = +809.52 + LanguageModel = +3112.1 + LanguageModel_OOV = -1464 + PhraseModel_0 = +3895.5 + PhraseModel_1 = +4683.4 + PhraseModel_2 = +1092.8 + PhraseModel_3 = +1079.6 + PhraseModel_4 = -6827.7 + PhraseModel_5 = -888 + PhraseModel_6 = +142 + PassThrough = -1335 + --- + 1best avg score: 0.277 (+0.10736) + 1best avg model score: -3110.5 (-67595) + avg # pairs: 1144.2 + avg # rank err: 529.1 + avg # margin viol: 0 + non0 feature count: 859 + avg list sz: 74.9 + avg f count: 112.84 +(time 0.067 min, 0.4 s/S) + +Writing weights file to '-' ... +done + +--- +Best iteration: 2 [SCORE 'stupid_bleu'=0.277]. +This took 0.15 min. |