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diff --git a/training/dtrain/examples/parallelized/work/out.2.1 b/training/dtrain/examples/parallelized/work/out.2.1
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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.2.1'
- weights in 'work/weights.0'
-(1 dot per processed input)
-Iteration #1 of 1.
- ... 3
-WEIGHTS
- Glue = -0.2622
- WordPenalty = +0.3185
- LanguageModel = +1.89
- LanguageModel_OOV = -0.6097
- PhraseModel_0 = +0.09434
- PhraseModel_1 = +0.2635
- PhraseModel_2 = +0.1182
- PhraseModel_3 = +1.151
- PhraseModel_4 = -0.7466
- PhraseModel_5 = +0.02055
- PhraseModel_6 = -0.3454
- PassThrough = -0.6294
- ---
- 1best avg score: 9.998 (+9.998)
- 1best avg model score: -27.44
- avg # updates: 1910
- non-0 feature count: 2256
- avg f count: 148.7
- avg list sz: 100
-(time 0.2 min, 4 s/S)
-
----
-Best iteration: 1 [GOLD = 9.998].
-This took 0.2 min.