diff options
Diffstat (limited to 'dtrain/test/example')
| -rw-r--r-- | dtrain/test/example/expected-output | 124 |
1 files changed, 124 insertions, 0 deletions
diff --git a/dtrain/test/example/expected-output b/dtrain/test/example/expected-output new file mode 100644 index 00000000..08733dd4 --- /dev/null +++ b/dtrain/test/example/expected-output @@ -0,0 +1,124 @@ + cdec cfg 'test/example/cdec.ini' +feature: WordPenalty (no config parameters) +State is 0 bytes for feature WordPenalty +feature: KLanguageModel (with config parameters 'test/example/nc-wmt11.en.srilm.gz') +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 +**************************************************************************************************** +Loaded 5-gram KLM from test/example/nc-wmt11.en.srilm.gz (MapSize=49581) +State is 98 bytes for feature KLanguageModel test/example/nc-wmt11.en.srilm.gz +feature: RuleIdentityFeatures (no config parameters) +State is 0 bytes for feature RuleIdentityFeatures +feature: RuleNgramFeatures (no config parameters) +State is 0 bytes for feature RuleNgramFeatures +feature: RuleShape (no config parameters) + Example feature: Shape_S00000_T00000 +State is 0 bytes for feature RuleShape +Seeding random number sequence to 380245307 + +dtrain +Parameters: + k 100 + N 4 + T 3 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 0.0001 + gamma 0 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'VOID' + l1 reg 0 'none' + cdec cfg 'test/example/cdec.ini' + input 'test/example/nc-wmt11.1k.gz' + output '-' + stop_after 20 +(a dot represents 10 inputs) +Iteration #1 of 3. + .. 20 +Stopping after 20 input sentences. +WEIGHTS + Glue = -0.1015 + WordPenalty = -0.0152 + LanguageModel = +0.21493 + LanguageModel_OOV = -0.3257 + PhraseModel_0 = -0.050844 + PhraseModel_1 = +0.25074 + PhraseModel_2 = +0.27944 + PhraseModel_3 = -0.038384 + PhraseModel_4 = -0.12041 + PhraseModel_5 = +0.1047 + PhraseModel_6 = -0.1289 + PassThrough = -0.3094 + --- + 1best avg score: 0.17508 (+0.17508) + 1best avg model score: -1.2392 (-1.2392) + avg # pairs: 1329.8 + avg # rank err: 649.1 + avg # margin viol: 677.5 + non0 feature count: 874 + avg list sz: 88.6 + avg f count: 85.643 +(time 0.25 min, 0.75 s/S) + +Iteration #2 of 3. + .. 20 +WEIGHTS + Glue = -0.0792 + WordPenalty = -0.056198 + LanguageModel = +0.31038 + LanguageModel_OOV = -0.4011 + PhraseModel_0 = +0.072188 + PhraseModel_1 = +0.11473 + PhraseModel_2 = +0.049774 + PhraseModel_3 = -0.18448 + PhraseModel_4 = -0.12092 + PhraseModel_5 = +0.1599 + PhraseModel_6 = -0.0606 + PassThrough = -0.3848 + --- + 1best avg score: 0.24015 (+0.065075) + 1best avg model score: -10.131 (-8.8914) + avg # pairs: 1324.7 + avg # rank err: 558.65 + avg # margin viol: 752.85 + non0 feature count: 1236 + avg list sz: 84.9 + avg f count: 88.306 +(time 0.22 min, 0.65 s/S) + +Iteration #3 of 3. + .. 20 +WEIGHTS + Glue = -0.051 + WordPenalty = -0.077956 + LanguageModel = +0.33699 + LanguageModel_OOV = -0.4726 + PhraseModel_0 = +0.040228 + PhraseModel_1 = +0.18 + PhraseModel_2 = +0.15618 + PhraseModel_3 = -0.098908 + PhraseModel_4 = -0.036555 + PhraseModel_5 = +0.1619 + PhraseModel_6 = +0.0078 + PassThrough = -0.4563 + --- + 1best avg score: 0.25527 (+0.015113) + 1best avg model score: -13.906 (-3.7756) + avg # pairs: 1356.3 + avg # rank err: 562.1 + avg # margin viol: 757.35 + non0 feature count: 1482 + avg list sz: 86.65 + avg f count: 87.475 +(time 0.23 min, 0.7 s/S) + +Writing weights file to '-' ... +done + +--- +Best iteration: 3 [SCORE 'stupid_bleu'=0.25527]. +This took 0.7 min. |