updated parallelized example

1 files changed, 66 insertions, 0 deletions

diff --git a/training/dtrain/examples/parallelized/work/out.3.1 b/training/dtrain/examples/parallelized/work/out.3.1
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+++ b/training/dtrain/examples/parallelized/work/out.3.1
@@ -0,0 +1,66 @@
+                cdec cfg 'cdec.ini'
+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
+****************************************************************************************************
+Seeding random number sequence to 2079701870
+
+dtrain
+Parameters:
+                       k 100
+                       N 4
+                       T 1
+                   batch 0
+                  scorer 'stupid_bleu'
+             sample from 'kbest'
+                  filter 'uniq'
+           learning rate 0.0001
+                   gamma 0
+             loss margin 1
+       faster perceptron 0
+                   pairs 'XYX'
+                   hi lo 0.1
+          pair threshold 0
+          select weights 'last'
+                  l1 reg 0 'none'
+                    pclr no
+               max pairs 4294967295
+                  repeat 1
+                cdec cfg 'cdec.ini'
+                   input ''
+                  output 'work/weights.3.1'
+              weights in 'work/weights.0'
+(a dot represents 10 inputs)
+Iteration #1 of 1.
+  1
+WEIGHTS
+              Glue = -0.63235
+       WordPenalty = +0.10761
+     LanguageModel = +1.4703
+ LanguageModel_OOV = -0.45548
+     PhraseModel_0 = -0.34858
+     PhraseModel_1 = +0.050651
+     PhraseModel_2 = +0.32137
+     PhraseModel_3 = +0.31848
+     PhraseModel_4 = -0.96702
+     PhraseModel_5 = +0.026825
+     PhraseModel_6 = -0.30802
+       PassThrough = -0.43805
+        ---
+       1best avg score: 0.078383 (+0.078383)
+ 1best avg model score: -68.182 (-68.182)
+           avg # pairs: 1411
+        avg # rank err: 599
+     avg # margin viol: 801
+       k-best loss imp: 100%
+    non0 feature count: 12
+           avg list sz: 100
+           avg f count: 12
+(time 0.12 min, 7 s/S)
+
+Writing weights file to 'work/weights.3.1' ...
+done
+
+---
+Best iteration: 1 [SCORE 'stupid_bleu'=0.078383].
+This took 0.11667 min.