From 41eb8edaf5965b8efbe0ace199905927452e895d Mon Sep 17 00:00:00 2001 From: Patrick Simianer
Date: Sat, 24 Jan 2015 17:00:00 +0100
Subject: dtrain: fix
---
training/dtrain/examples/parallelized/work/out.0.0 | 46 +++++++++++-----------
training/dtrain/examples/parallelized/work/out.0.1 | 44 ++++++++++-----------
training/dtrain/examples/parallelized/work/out.0.2 | 44 ++++++++++-----------
training/dtrain/examples/parallelized/work/out.1.0 | 46 +++++++++++-----------
training/dtrain/examples/parallelized/work/out.1.1 | 44 ++++++++++-----------
training/dtrain/examples/parallelized/work/out.1.2 | 44 ++++++++++-----------
training/dtrain/examples/parallelized/work/out.2.0 | 46 +++++++++++-----------
training/dtrain/examples/parallelized/work/out.2.1 | 44 ++++++++++-----------
training/dtrain/examples/parallelized/work/out.2.2 | 44 ++++++++++-----------
training/dtrain/examples/parallelized/work/out.3.0 | 36 ++++++++---------
training/dtrain/examples/parallelized/work/out.3.1 | 40 +++++++++----------
training/dtrain/examples/parallelized/work/out.3.2 | 42 ++++++++++----------
.../dtrain/examples/parallelized/work/shard.0.0.in | 4 +-
.../dtrain/examples/parallelized/work/shard.1.0.in | 6 +--
.../dtrain/examples/parallelized/work/shard.2.0.in | 6 +--
.../dtrain/examples/parallelized/work/shard.3.0.in | 2 +-
.../dtrain/examples/parallelized/work/weights.0 | 24 +++++------
.../dtrain/examples/parallelized/work/weights.0.0 | 23 +++++------
.../dtrain/examples/parallelized/work/weights.0.1 | 24 +++++------
.../dtrain/examples/parallelized/work/weights.0.2 | 24 +++++------
.../dtrain/examples/parallelized/work/weights.1 | 24 +++++------
.../dtrain/examples/parallelized/work/weights.1.0 | 23 ++++++-----
.../dtrain/examples/parallelized/work/weights.1.1 | 24 +++++------
.../dtrain/examples/parallelized/work/weights.1.2 | 24 +++++------
.../dtrain/examples/parallelized/work/weights.2 | 24 +++++------
.../dtrain/examples/parallelized/work/weights.2.0 | 23 ++++++-----
.../dtrain/examples/parallelized/work/weights.2.1 | 24 +++++------
.../dtrain/examples/parallelized/work/weights.2.2 | 24 +++++------
.../dtrain/examples/parallelized/work/weights.3.0 | 24 +++++------
.../dtrain/examples/parallelized/work/weights.3.1 | 24 +++++------
.../dtrain/examples/parallelized/work/weights.3.2 | 24 +++++------
31 files changed, 447 insertions(+), 448 deletions(-)
(limited to 'training/dtrain/examples/parallelized/work')
diff --git a/training/dtrain/examples/parallelized/work/out.0.0 b/training/dtrain/examples/parallelized/work/out.0.0
index f394a9b0..9154c906 100644
--- a/training/dtrain/examples/parallelized/work/out.0.0
+++ b/training/dtrain/examples/parallelized/work/out.0.0
@@ -3,7 +3,7 @@ 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 2577966319
+Seeding random number sequence to 4087834873
dtrain
Parameters:
@@ -33,33 +33,33 @@ Parameters:
Iteration #1 of 1.
3
WEIGHTS
- Glue = -0.0358
- WordPenalty = +0.099236
- LanguageModel = +0.51874
- LanguageModel_OOV = -0.1512
- PhraseModel_0 = -0.10121
- PhraseModel_1 = -0.25462
- PhraseModel_2 = -0.14282
- PhraseModel_3 = +0.068512
- PhraseModel_4 = -0.78139
- PhraseModel_5 = +0
- PhraseModel_6 = +0.1547
- PassThrough = -0.075
+ Glue = +0.257
+ WordPenalty = +0.026926
+ LanguageModel = +0.67342
+ LanguageModel_OOV = -0.046
+ PhraseModel_0 = +0.25329
+ PhraseModel_1 = +0.20036
+ PhraseModel_2 = +0.00060731
+ PhraseModel_3 = +0.65578
+ PhraseModel_4 = +0.47916
+ PhraseModel_5 = +0.004
+ PhraseModel_6 = +0.1829
+ PassThrough = -0.082
---
- 1best avg score: 0.080513 (+0.080513)
- 1best avg model score: 6.1321 (+6.1321)
- avg # pairs: 1848.3
- avg # rank err: 1096.7
- avg # margin viol: 751.67
+ 1best avg score: 0.04518 (+0.04518)
+ 1best avg model score: 32.803 (+32.803)
+ avg # pairs: 1266.3
+ avg # rank err: 857
+ avg # margin viol: 386.67
k-best loss imp: 100%
- non0 feature count: 11
+ non0 feature count: 12
avg list sz: 100
- avg f count: 10.6
-(time 0.23 min, 4.7 s/S)
+ avg f count: 10.853
+(time 0.47 min, 9.3 s/S)
Writing weights file to 'work/weights.0.0' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.080513].
-This took 0.23333 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.04518].
+This took 0.46667 min.
diff --git a/training/dtrain/examples/parallelized/work/out.0.1 b/training/dtrain/examples/parallelized/work/out.0.1
index d0819a5a..0dbc7bd3 100644
--- a/training/dtrain/examples/parallelized/work/out.0.1
+++ b/training/dtrain/examples/parallelized/work/out.0.1
@@ -3,7 +3,7 @@ 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 3555678516
+Seeding random number sequence to 2283043509
dtrain
Parameters:
@@ -34,33 +34,33 @@ Parameters:
Iteration #1 of 1.
3
WEIGHTS
- Glue = +0.19265
- WordPenalty = +0.0064601
- LanguageModel = +0.63102
- LanguageModel_OOV = -0.58027
- PhraseModel_0 = -0.71998
- PhraseModel_1 = +0.67713
- PhraseModel_2 = +1.2848
- PhraseModel_3 = -0.30726
- PhraseModel_4 = -0.91479
- PhraseModel_5 = +0.026825
- PhraseModel_6 = -0.31892
- PassThrough = -0.51565
+ Glue = -0.17905
+ WordPenalty = +0.062126
+ LanguageModel = +0.66825
+ LanguageModel_OOV = -0.15248
+ PhraseModel_0 = -0.55811
+ PhraseModel_1 = +0.12741
+ PhraseModel_2 = +0.60388
+ PhraseModel_3 = -0.44464
+ PhraseModel_4 = -0.63137
+ PhraseModel_5 = -0.0084
+ PhraseModel_6 = -0.20165
+ PassThrough = -0.23468
---
- 1best avg score: 0.12642 (+0.12642)
- 1best avg model score: -30.689 (-30.689)
- avg # pairs: 1682.7
- avg # rank err: 807
- avg # margin viol: 872
+ 1best avg score: 0.14066 (+0.14066)
+ 1best avg model score: -37.614 (-37.614)
+ avg # pairs: 1244.7
+ avg # rank err: 728
+ avg # margin viol: 516.67
k-best loss imp: 100%
non0 feature count: 12
avg list sz: 100
- avg f count: 12
-(time 0.27 min, 5.3 s/S)
+ avg f count: 11.507
+(time 0.45 min, 9 s/S)
Writing weights file to 'work/weights.0.1' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.12642].
-This took 0.26667 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.14066].
+This took 0.45 min.
diff --git a/training/dtrain/examples/parallelized/work/out.0.2 b/training/dtrain/examples/parallelized/work/out.0.2
index 62bf8bb9..fcecc7e1 100644
--- a/training/dtrain/examples/parallelized/work/out.0.2
+++ b/training/dtrain/examples/parallelized/work/out.0.2
@@ -3,7 +3,7 @@ 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 2696902705
+Seeding random number sequence to 3693132895
dtrain
Parameters:
@@ -34,33 +34,33 @@ Parameters:
Iteration #1 of 1.
3
WEIGHTS
- Glue = -0.2741
- WordPenalty = +0.1227
- LanguageModel = +0.82597
- LanguageModel_OOV = -0.52135
- PhraseModel_0 = -0.68526
- PhraseModel_1 = +0.27265
- PhraseModel_2 = +0.87438
- PhraseModel_3 = -0.00012234
- PhraseModel_4 = -1.0912
- PhraseModel_5 = +0.0371
- PhraseModel_6 = -0.2855
- PassThrough = -0.4831
+ Glue = -0.019275
+ WordPenalty = +0.022192
+ LanguageModel = +0.40688
+ LanguageModel_OOV = -0.36397
+ PhraseModel_0 = -0.36273
+ PhraseModel_1 = +0.56432
+ PhraseModel_2 = +0.85638
+ PhraseModel_3 = -0.20222
+ PhraseModel_4 = -0.48295
+ PhraseModel_5 = +0.03145
+ PhraseModel_6 = -0.26092
+ PassThrough = -0.38122
---
- 1best avg score: 0.12697 (+0.12697)
- 1best avg model score: -1.7396 (-1.7396)
- avg # pairs: 1280.3
- avg # rank err: 764.33
- avg # margin viol: 507
+ 1best avg score: 0.18982 (+0.18982)
+ 1best avg model score: 1.7096 (+1.7096)
+ avg # pairs: 1524.3
+ avg # rank err: 813.33
+ avg # margin viol: 702.67
k-best loss imp: 100%
non0 feature count: 12
avg list sz: 100
- avg f count: 10.727
-(time 0.28 min, 5.7 s/S)
+ avg f count: 11.32
+(time 0.53 min, 11 s/S)
Writing weights file to 'work/weights.0.2' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.12697].
-This took 0.28333 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.18982].
+This took 0.53333 min.
diff --git a/training/dtrain/examples/parallelized/work/out.1.0 b/training/dtrain/examples/parallelized/work/out.1.0
index cc35e676..595dfc94 100644
--- a/training/dtrain/examples/parallelized/work/out.1.0
+++ b/training/dtrain/examples/parallelized/work/out.1.0
@@ -3,7 +3,7 @@ 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 1336015864
+Seeding random number sequence to 859043351
dtrain
Parameters:
@@ -33,33 +33,33 @@ Parameters:
Iteration #1 of 1.
3
WEIGHTS
- Glue = -0.2015
- WordPenalty = +0.078303
- LanguageModel = +0.90323
- LanguageModel_OOV = -0.1378
- PhraseModel_0 = -1.3044
- PhraseModel_1 = -0.88246
- PhraseModel_2 = +0.26379
- PhraseModel_3 = -0.79106
- PhraseModel_4 = -1.4702
- PhraseModel_5 = +0.0218
- PhraseModel_6 = -0.5283
- PassThrough = -0.2531
+ Glue = -0.3229
+ WordPenalty = +0.27969
+ LanguageModel = +1.3645
+ LanguageModel_OOV = -0.0443
+ PhraseModel_0 = -0.19049
+ PhraseModel_1 = -0.077698
+ PhraseModel_2 = +0.058898
+ PhraseModel_3 = +0.017251
+ PhraseModel_4 = -1.5474
+ PhraseModel_5 = +0
+ PhraseModel_6 = -0.1818
+ PassThrough = -0.193
---
- 1best avg score: 0.062351 (+0.062351)
- 1best avg model score: -47.109 (-47.109)
- avg # pairs: 1284
- avg # rank err: 844.33
- avg # margin viol: 216.33
+ 1best avg score: 0.070229 (+0.070229)
+ 1best avg model score: -44.01 (-44.01)
+ avg # pairs: 1294
+ avg # rank err: 878.67
+ avg # margin viol: 350.67
k-best loss imp: 100%
- non0 feature count: 12
+ non0 feature count: 11
avg list sz: 100
- avg f count: 11.883
-(time 0.42 min, 8.3 s/S)
+ avg f count: 11.487
+(time 0.28 min, 5.7 s/S)
Writing weights file to 'work/weights.1.0' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.062351].
-This took 0.41667 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.070229].
+This took 0.28333 min.
diff --git a/training/dtrain/examples/parallelized/work/out.1.1 b/training/dtrain/examples/parallelized/work/out.1.1
index 3d7a7e66..9346fc82 100644
--- a/training/dtrain/examples/parallelized/work/out.1.1
+++ b/training/dtrain/examples/parallelized/work/out.1.1
@@ -3,7 +3,7 @@ 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 1673913538
+Seeding random number sequence to 3557309480
dtrain
Parameters:
@@ -34,33 +34,33 @@ Parameters:
Iteration #1 of 1.
3
WEIGHTS
- Glue = -0.15575
- WordPenalty = +0.14939
- LanguageModel = +0.95915
- LanguageModel_OOV = -0.42267
- PhraseModel_0 = -0.46337
- PhraseModel_1 = +0.36682
- PhraseModel_2 = +0.79339
- PhraseModel_3 = +0.27497
- PhraseModel_4 = -1.2038
- PhraseModel_5 = +0.061325
- PhraseModel_6 = -0.11143
- PassThrough = -0.45405
+ Glue = -0.26425
+ WordPenalty = +0.047881
+ LanguageModel = +0.78496
+ LanguageModel_OOV = -0.49307
+ PhraseModel_0 = -0.58703
+ PhraseModel_1 = -0.33425
+ PhraseModel_2 = +0.20834
+ PhraseModel_3 = -0.043346
+ PhraseModel_4 = -0.60761
+ PhraseModel_5 = +0.123
+ PhraseModel_6 = -0.05415
+ PassThrough = -0.42167
---
- 1best avg score: 0.057772 (+0.057772)
- 1best avg model score: -59.945 (-59.945)
- avg # pairs: 1647
- avg # rank err: 878
- avg # margin viol: 564.67
+ 1best avg score: 0.085952 (+0.085952)
+ 1best avg model score: -45.175 (-45.175)
+ avg # pairs: 1180.7
+ avg # rank err: 668.33
+ avg # margin viol: 512.33
k-best loss imp: 100%
non0 feature count: 12
avg list sz: 100
- avg f count: 11.973
-(time 0.42 min, 8.3 s/S)
+ avg f count: 12
+(time 0.27 min, 5.3 s/S)
Writing weights file to 'work/weights.1.1' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.057772].
-This took 0.41667 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.085952].
+This took 0.26667 min.
diff --git a/training/dtrain/examples/parallelized/work/out.1.2 b/training/dtrain/examples/parallelized/work/out.1.2
index ba603651..08f07a75 100644
--- a/training/dtrain/examples/parallelized/work/out.1.2
+++ b/training/dtrain/examples/parallelized/work/out.1.2
@@ -3,7 +3,7 @@ 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 785956183
+Seeding random number sequence to 56743915
dtrain
Parameters:
@@ -34,33 +34,33 @@ Parameters:
Iteration #1 of 1.
3
WEIGHTS
- Glue = -0.2323
- WordPenalty = +0.11501
- LanguageModel = +0.76484
- LanguageModel_OOV = -0.57495
- PhraseModel_0 = -0.64111
- PhraseModel_1 = +0.44772
- PhraseModel_2 = +0.98529
- PhraseModel_3 = +0.022939
- PhraseModel_4 = -1.1029
- PhraseModel_5 = +0.0491
- PhraseModel_6 = -0.315
- PassThrough = -0.5367
+ Glue = -0.23608
+ WordPenalty = +0.10931
+ LanguageModel = +0.81339
+ LanguageModel_OOV = -0.33238
+ PhraseModel_0 = -0.53685
+ PhraseModel_1 = -0.049658
+ PhraseModel_2 = +0.40277
+ PhraseModel_3 = +0.14601
+ PhraseModel_4 = -0.72851
+ PhraseModel_5 = +0.03475
+ PhraseModel_6 = -0.27192
+ PassThrough = -0.34763
---
- 1best avg score: 0.24871 (+0.24871)
- 1best avg model score: -3.0138 (-3.0138)
- avg # pairs: 1489.7
- avg # rank err: 644.67
- avg # margin viol: 549
+ 1best avg score: 0.10073 (+0.10073)
+ 1best avg model score: -38.422 (-38.422)
+ avg # pairs: 1505.3
+ avg # rank err: 777
+ avg # margin viol: 691.67
k-best loss imp: 100%
non0 feature count: 12
avg list sz: 100
- avg f count: 11.187
-(time 0.43 min, 8.7 s/S)
+ avg f count: 12
+(time 0.35 min, 7 s/S)
Writing weights file to 'work/weights.1.2' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.24871].
-This took 0.43333 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.10073].
+This took 0.35 min.
diff --git a/training/dtrain/examples/parallelized/work/out.2.0 b/training/dtrain/examples/parallelized/work/out.2.0
index ab38c637..25ef6d4e 100644
--- a/training/dtrain/examples/parallelized/work/out.2.0
+++ b/training/dtrain/examples/parallelized/work/out.2.0
@@ -3,7 +3,7 @@ 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 3274281797
+Seeding random number sequence to 2662215673
dtrain
Parameters:
@@ -33,33 +33,33 @@ Parameters:
Iteration #1 of 1.
3
WEIGHTS
- Glue = +0.1295
- WordPenalty = +0.12781
- LanguageModel = +1.1825
- LanguageModel_OOV = -0.1667
- PhraseModel_0 = -0.65167
- PhraseModel_1 = -0.044563
- PhraseModel_2 = +0.49706
- PhraseModel_3 = -0.40367
- PhraseModel_4 = -1.3438
- PhraseModel_5 = +0.0435
- PhraseModel_6 = -0.3743
- PassThrough = -0.0307
+ Glue = -0.1259
+ WordPenalty = +0.048294
+ LanguageModel = +0.36254
+ LanguageModel_OOV = -0.1228
+ PhraseModel_0 = +0.26357
+ PhraseModel_1 = +0.24793
+ PhraseModel_2 = +0.0063763
+ PhraseModel_3 = -0.18966
+ PhraseModel_4 = -0.226
+ PhraseModel_5 = +0
+ PhraseModel_6 = +0.0743
+ PassThrough = -0.1335
---
- 1best avg score: 0.08637 (+0.08637)
- 1best avg model score: -42.175 (-42.175)
- avg # pairs: 1136.3
- avg # rank err: 720.67
- avg # margin viol: 399.67
+ 1best avg score: 0.072836 (+0.072836)
+ 1best avg model score: -0.56296 (-0.56296)
+ avg # pairs: 1094.7
+ avg # rank err: 658
+ avg # margin viol: 436.67
k-best loss imp: 100%
- non0 feature count: 12
+ non0 feature count: 11
avg list sz: 100
- avg f count: 11.487
-(time 0.22 min, 4.3 s/S)
+ avg f count: 10.813
+(time 0.13 min, 2.7 s/S)
Writing weights file to 'work/weights.2.0' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.08637].
-This took 0.21667 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.072836].
+This took 0.13333 min.
diff --git a/training/dtrain/examples/parallelized/work/out.2.1 b/training/dtrain/examples/parallelized/work/out.2.1
index f86ec520..8e4efde9 100644
--- a/training/dtrain/examples/parallelized/work/out.2.1
+++ b/training/dtrain/examples/parallelized/work/out.2.1
@@ -3,7 +3,7 @@ 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 3424877412
+Seeding random number sequence to 3092904479
dtrain
Parameters:
@@ -34,33 +34,33 @@ Parameters:
Iteration #1 of 1.
3
WEIGHTS
- Glue = -0.33455
- WordPenalty = +0.10696
- LanguageModel = +1.0621
- LanguageModel_OOV = -0.46617
- PhraseModel_0 = -0.63382
- PhraseModel_1 = +0.33225
- PhraseModel_2 = +0.8501
- PhraseModel_3 = -0.29374
- PhraseModel_4 = -1.0908
- PhraseModel_5 = +0.033425
- PhraseModel_6 = -0.38922
- PassThrough = -0.36385
+ Glue = -0.10385
+ WordPenalty = +0.038717
+ LanguageModel = +0.49413
+ LanguageModel_OOV = -0.24887
+ PhraseModel_0 = -0.32102
+ PhraseModel_1 = +0.34413
+ PhraseModel_2 = +0.62366
+ PhraseModel_3 = -0.49337
+ PhraseModel_4 = -0.77005
+ PhraseModel_5 = +0.007
+ PhraseModel_6 = -0.05055
+ PassThrough = -0.23928
---
- 1best avg score: 0.12089 (+0.12089)
- 1best avg model score: -30.902 (-30.902)
- avg # pairs: 1852
- avg # rank err: 870.33
- avg # margin viol: 898.67
+ 1best avg score: 0.10245 (+0.10245)
+ 1best avg model score: -20.384 (-20.384)
+ avg # pairs: 1741.7
+ avg # rank err: 953.67
+ avg # margin viol: 585.33
k-best loss imp: 100%
non0 feature count: 12
avg list sz: 100
- avg f count: 12
-(time 0.22 min, 4.3 s/S)
+ avg f count: 11.977
+(time 0.12 min, 2.3 s/S)
Writing weights file to 'work/weights.2.1' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.12089].
-This took 0.21667 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.10245].
+This took 0.11667 min.
diff --git a/training/dtrain/examples/parallelized/work/out.2.2 b/training/dtrain/examples/parallelized/work/out.2.2
index 823129c0..e0ca2110 100644
--- a/training/dtrain/examples/parallelized/work/out.2.2
+++ b/training/dtrain/examples/parallelized/work/out.2.2
@@ -3,7 +3,7 @@ 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 3087490723
+Seeding random number sequence to 2803362953
dtrain
Parameters:
@@ -34,33 +34,33 @@ Parameters:
Iteration #1 of 1.
3
WEIGHTS
- Glue = -0.3464
- WordPenalty = +0.18737
- LanguageModel = +1.5794
- LanguageModel_OOV = -0.48725
- PhraseModel_0 = -1.0015
- PhraseModel_1 = -0.51734
- PhraseModel_2 = +0.40486
- PhraseModel_3 = -0.013031
- PhraseModel_4 = -1.1546
- PhraseModel_5 = +0.0371
- PhraseModel_6 = -0.1892
- PassThrough = -0.449
+ Glue = -0.32907
+ WordPenalty = +0.049596
+ LanguageModel = +0.33496
+ LanguageModel_OOV = -0.44357
+ PhraseModel_0 = -0.3068
+ PhraseModel_1 = +0.59376
+ PhraseModel_2 = +0.86416
+ PhraseModel_3 = -0.21072
+ PhraseModel_4 = -0.65734
+ PhraseModel_5 = +0.03475
+ PhraseModel_6 = -0.10653
+ PassThrough = -0.46082
---
- 1best avg score: 0.17557 (+0.17557)
- 1best avg model score: -15.133 (-15.133)
- avg # pairs: 1644.7
- avg # rank err: 830.33
- avg # margin viol: 766.33
+ 1best avg score: 0.25055 (+0.25055)
+ 1best avg model score: -1.4459 (-1.4459)
+ avg # pairs: 1689
+ avg # rank err: 755.67
+ avg # margin viol: 829.33
k-best loss imp: 100%
non0 feature count: 12
avg list sz: 100
- avg f count: 11.267
-(time 0.23 min, 4.7 s/S)
+ avg f count: 10.53
+(time 0.13 min, 2.7 s/S)
Writing weights file to 'work/weights.2.2' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.17557].
-This took 0.23333 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.25055].
+This took 0.13333 min.
diff --git a/training/dtrain/examples/parallelized/work/out.3.0 b/training/dtrain/examples/parallelized/work/out.3.0
index 2d8dea27..3c074f04 100644
--- a/training/dtrain/examples/parallelized/work/out.3.0
+++ b/training/dtrain/examples/parallelized/work/out.3.0
@@ -3,7 +3,7 @@ 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 164953210
+Seeding random number sequence to 316107185
dtrain
Parameters:
@@ -33,20 +33,20 @@ Parameters:
Iteration #1 of 1.
1
WEIGHTS
- Glue = -0.11
- WordPenalty = +0.21975
- LanguageModel = +1.7397
- LanguageModel_OOV = -0.037
- PhraseModel_0 = -0.34702
- PhraseModel_1 = +0.11602
- PhraseModel_2 = +0.3951
- PhraseModel_3 = +0.37857
- PhraseModel_4 = -1.0319
- PhraseModel_5 = +0.042
- PhraseModel_6 = -0.253
- PassThrough = -0.111
+ Glue = +0.046
+ WordPenalty = +0.17328
+ LanguageModel = +1.1667
+ LanguageModel_OOV = +0.066
+ PhraseModel_0 = -1.1694
+ PhraseModel_1 = -0.9883
+ PhraseModel_2 = +0.036205
+ PhraseModel_3 = -0.77387
+ PhraseModel_4 = -1.5019
+ PhraseModel_5 = +0.024
+ PhraseModel_6 = -0.514
+ PassThrough = +0.031
---
- 1best avg score: 0.034204 (+0.034204)
+ 1best avg score: 0.032916 (+0.032916)
1best avg model score: 0 (+0)
avg # pairs: 900
avg # rank err: 900
@@ -54,12 +54,12 @@ WEIGHTS
k-best loss imp: 100%
non0 feature count: 12
avg list sz: 100
- avg f count: 10.8
-(time 0.12 min, 7 s/S)
+ avg f count: 11.72
+(time 0.23 min, 14 s/S)
Writing weights file to 'work/weights.3.0' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.034204].
-This took 0.11667 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.032916].
+This took 0.23333 min.
diff --git a/training/dtrain/examples/parallelized/work/out.3.1 b/training/dtrain/examples/parallelized/work/out.3.1
index a1eeb64b..241d3455 100644
--- a/training/dtrain/examples/parallelized/work/out.3.1
+++ b/training/dtrain/examples/parallelized/work/out.3.1
@@ -3,7 +3,7 @@ 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
+Seeding random number sequence to 353677750
dtrain
Parameters:
@@ -34,33 +34,33 @@ Parameters:
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
+ Glue = -0.08475
+ WordPenalty = +0.11151
+ LanguageModel = +1.0635
+ LanguageModel_OOV = -0.11468
+ PhraseModel_0 = -0.062922
+ PhraseModel_1 = +0.0035552
+ PhraseModel_2 = +0.039692
+ PhraseModel_3 = +0.080265
+ PhraseModel_4 = -0.57787
+ PhraseModel_5 = +0.0174
+ PhraseModel_6 = -0.17095
+ PassThrough = -0.18248
---
- 1best avg score: 0.078383 (+0.078383)
- 1best avg model score: -68.182 (-68.182)
+ 1best avg score: 0.16117 (+0.16117)
+ 1best avg model score: -67.89 (-67.89)
avg # pairs: 1411
- avg # rank err: 599
- avg # margin viol: 801
+ avg # rank err: 460
+ avg # margin viol: 951
k-best loss imp: 100%
non0 feature count: 12
avg list sz: 100
avg f count: 12
-(time 0.12 min, 7 s/S)
+(time 0.22 min, 13 s/S)
Writing weights file to 'work/weights.3.1' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.078383].
-This took 0.11667 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.16117].
+This took 0.21667 min.
diff --git a/training/dtrain/examples/parallelized/work/out.3.2 b/training/dtrain/examples/parallelized/work/out.3.2
index a0c0e509..b995daf5 100644
--- a/training/dtrain/examples/parallelized/work/out.3.2
+++ b/training/dtrain/examples/parallelized/work/out.3.2
@@ -3,7 +3,7 @@ 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 3524794953
+Seeding random number sequence to 3001145976
dtrain
Parameters:
@@ -34,33 +34,33 @@ Parameters:
Iteration #1 of 1.
1
WEIGHTS
- Glue = -0.2581
- WordPenalty = +0.091647
- LanguageModel = +0.77537
- LanguageModel_OOV = -0.57165
- PhraseModel_0 = -0.5794
- PhraseModel_1 = +0.46929
- PhraseModel_2 = +0.95471
- PhraseModel_3 = +0.12107
- PhraseModel_4 = -1.0053
- PhraseModel_5 = +0.0371
- PhraseModel_6 = -0.3253
- PassThrough = -0.5334
+ 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
---
- 1best avg score: 0.10945 (+0.10945)
- 1best avg model score: -23.077 (-23.077)
- avg # pairs: 1545
- avg # rank err: 987
- avg # margin viol: 558
+ 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
avg list sz: 100
avg f count: 12
-(time 0.12 min, 7 s/S)
+(time 0.22 min, 13 s/S)
Writing weights file to 'work/weights.3.2' ...
done
---
-Best iteration: 1 [SCORE 'stupid_bleu'=0.10945].
-This took 0.11667 min.
+Best iteration: 1 [SCORE 'stupid_bleu'=0.12501].
+This took 0.21667 min.
diff --git a/training/dtrain/examples/parallelized/work/shard.0.0.in b/training/dtrain/examples/parallelized/work/shard.0.0.in
index fb8c2cd6..d1b48321 100644
--- a/training/dtrain/examples/parallelized/work/shard.0.0.in
+++ b/training/dtrain/examples/parallelized/work/shard.0.0.in
@@ -1,3 +1,3 @@
-