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-rw-r--r--training/dtrain/examples/parallelized/work/out.3.272
1 files changed, 25 insertions, 47 deletions
diff --git a/training/dtrain/examples/parallelized/work/out.3.2 b/training/dtrain/examples/parallelized/work/out.3.2
index b995daf5..eb27dac2 100644
--- a/training/dtrain/examples/parallelized/work/out.3.2
+++ b/training/dtrain/examples/parallelized/work/out.3.2
@@ -1,66 +1,44 @@
- 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 3001145976
-
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 ''
+ error margin 1
+ l1 reg 0
+ decoder conf 'cdec.ini'
+ input 'work/shard.3.0.in'
output 'work/weights.3.2'
weights in 'work/weights.1'
-(a dot represents 10 inputs)
+(a dot per input)
Iteration #1 of 1.
- 1
+ .. 1
WEIGHTS
- Glue = -0.13247
- WordPenalty = +0.053592
- LanguageModel = +0.72105
- LanguageModel_OOV = -0.30827
- PhraseModel_0 = -0.37053
- PhraseModel_1 = +0.17551
- PhraseModel_2 = +0.5
- PhraseModel_3 = -0.1459
- PhraseModel_4 = -0.59563
- PhraseModel_5 = +0.03475
- PhraseModel_6 = -0.11143
- PassThrough = -0.32553
+ Glue = -0.12993
+ WordPenalty = +0.13651
+ LanguageModel = +0.58946
+ LanguageModel_OOV = -0.48362
+ PhraseModel_0 = -0.81262
+ PhraseModel_1 = +0.44273
+ PhraseModel_2 = +1.1733
+ PhraseModel_3 = -0.1826
+ PhraseModel_4 = -1.2213
+ PhraseModel_5 = +0.02435
+ PhraseModel_6 = -0.18823
+ PassThrough = -0.51378
---
- 1best avg score: 0.12501 (+0.12501)
- 1best avg model score: -62.128 (-62.128)
- avg # pairs: 979
- avg # rank err: 539
- avg # margin viol: 440
- k-best loss imp: 100%
- non0 feature count: 12
+ 1best avg score: 0.12674 (+0.12674)
+ 1best avg model score: -7.2878
+ avg # pairs: 1769
+ non-0 feature count: 12
avg list sz: 100
avg f count: 12
-(time 0.22 min, 13 s/S)
-
-Writing weights file to 'work/weights.3.2' ...
-done
+(time 0.1 min, 6 s/S)
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.12501].
-This took 0.21667 min.
+Best iteration: 1 [GOLD = 0.12674].
+This took 0.1 min.