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diff --git a/training/dtrain/examples/parallelized/work/out.2.2 b/training/dtrain/examples/parallelized/work/out.2.2
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--- a/training/dtrain/examples/parallelized/work/out.2.2
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-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
-****************************************************************************************************
- Example feature: Shape_S00000_T00000
-dtrain
-Parameters:
- k 100
- N 4
- T 1
- learning rate 0.0001
- margin 1
- l1 reg 0
- decoder conf 'cdec.ini'
- input 'work/shard.2.0'
- output 'work/weights.2.2'
- weights in 'work/weights.1'
-(1 dot per processed input)
-Iteration #1 of 1.
- ... 3
-WEIGHTS
- Glue = -0.1781
- WordPenalty = +0.262
- LanguageModel = +1.468
- LanguageModel_OOV = -0.4828
- PhraseModel_0 = -0.4867
- PhraseModel_1 = +0.3306
- PhraseModel_2 = +0.7159
- PhraseModel_3 = +0.01232
- PhraseModel_4 = -1.128
- PhraseModel_5 = +0.04098
- PhraseModel_6 = -0.3829
- PassThrough = -0.5045
- ---
- 1best avg score: 16.34 (+16.34)
- 1best avg model score: +12.6
- avg # updates: 1823
- non-0 feature count: 2883
- avg f count: 160
- avg list sz: 100
-(time 0.2 min, 4 s/S)
-
----
-Best iteration: 1 [GOLD = 16.34].
-This took 0.2 min.