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-rw-r--r--training/dtrain/examples/parallelized/work/out.0.047
-rw-r--r--training/dtrain/examples/parallelized/work/out.0.149
-rw-r--r--training/dtrain/examples/parallelized/work/out.0.249
-rw-r--r--training/dtrain/examples/parallelized/work/out.1.049
-rw-r--r--training/dtrain/examples/parallelized/work/out.1.149
-rw-r--r--training/dtrain/examples/parallelized/work/out.1.249
-rw-r--r--training/dtrain/examples/parallelized/work/out.2.049
-rw-r--r--training/dtrain/examples/parallelized/work/out.2.149
-rw-r--r--training/dtrain/examples/parallelized/work/out.2.249
-rw-r--r--training/dtrain/examples/parallelized/work/out.3.049
-rw-r--r--training/dtrain/examples/parallelized/work/out.3.149
-rw-r--r--training/dtrain/examples/parallelized/work/out.3.249
-rw-r--r--training/dtrain/examples/parallelized/work/shard.0.0 (renamed from training/dtrain/examples/parallelized/work/shard.0.0.in)0
-rw-r--r--training/dtrain/examples/parallelized/work/shard.1.0 (renamed from training/dtrain/examples/parallelized/work/shard.1.0.in)0
-rw-r--r--training/dtrain/examples/parallelized/work/shard.2.0 (renamed from training/dtrain/examples/parallelized/work/shard.2.0.in)0
-rw-r--r--training/dtrain/examples/parallelized/work/shard.3.0 (renamed from training/dtrain/examples/parallelized/work/shard.3.0.in)0
-rw-r--r--training/dtrain/examples/parallelized/work/weights.02084
-rw-r--r--training/dtrain/examples/parallelized/work/weights.0.0452
-rw-r--r--training/dtrain/examples/parallelized/work/weights.0.12230
-rw-r--r--training/dtrain/examples/parallelized/work/weights.0.22836
-rw-r--r--training/dtrain/examples/parallelized/work/weights.12653
-rw-r--r--training/dtrain/examples/parallelized/work/weights.1.0611
-rw-r--r--training/dtrain/examples/parallelized/work/weights.1.12287
-rw-r--r--training/dtrain/examples/parallelized/work/weights.1.22803
-rw-r--r--training/dtrain/examples/parallelized/work/weights.23295
-rw-r--r--training/dtrain/examples/parallelized/work/weights.2.0861
-rw-r--r--training/dtrain/examples/parallelized/work/weights.2.12268
-rw-r--r--training/dtrain/examples/parallelized/work/weights.2.22895
-rw-r--r--training/dtrain/examples/parallelized/work/weights.3.0576
-rw-r--r--training/dtrain/examples/parallelized/work/weights.3.12142
-rw-r--r--training/dtrain/examples/parallelized/work/weights.3.22755
31 files changed, 30869 insertions, 465 deletions
diff --git a/training/dtrain/examples/parallelized/work/out.0.0 b/training/dtrain/examples/parallelized/work/out.0.0
index 77749404..da7c20a4 100644
--- a/training/dtrain/examples/parallelized/work/out.0.0
+++ b/training/dtrain/examples/parallelized/work/out.0.0
@@ -2,42 +2,43 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.0.0.in'
+ input 'work/shard.0.0'
output 'work/weights.0.0'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .... 3
+ ... 3
WEIGHTS
- Glue = +0.3404
- WordPenalty = -0.017632
- LanguageModel = +0.72958
- LanguageModel_OOV = -0.235
- PhraseModel_0 = -0.43721
- PhraseModel_1 = +1.01
- PhraseModel_2 = +1.3525
- PhraseModel_3 = -0.25541
- PhraseModel_4 = -0.78115
+ Glue = +0.1984
+ WordPenalty = +0.06119
+ LanguageModel = +0.6184
+ LanguageModel_OOV = -0.2584
+ PhraseModel_0 = -0.3803
+ PhraseModel_1 = +0.6495
+ PhraseModel_2 = +0.9499
+ PhraseModel_3 = -0.4945
+ PhraseModel_4 = -0.4588
PhraseModel_5 = +0
- PhraseModel_6 = -0.3681
- PassThrough = -0.3304
+ PhraseModel_6 = -0.2935
+ PassThrough = -0.2742
---
- 1best avg score: 0.19474 (+0.19474)
- 1best avg model score: 0.52232
- avg # pairs: 2513
- non-0 feature count: 11
+ 1best avg score: 22.94 (+22.94)
+ 1best avg model score: +33.08
+ avg # updates: 2169
+ non-0 feature count: 441
+ avg f count: 143.9
avg list sz: 100
- avg f count: 11.42
-(time 0.32 min, 6 s/S)
+(time 0.1667 min, 3 s/S)
---
-Best iteration: 1 [GOLD = 0.19474].
-This took 0.31667 min.
+Best iteration: 1 [GOLD = 22.94].
+This took 0.1667 min.
diff --git a/training/dtrain/examples/parallelized/work/out.0.1 b/training/dtrain/examples/parallelized/work/out.0.1
index d0dee623..c18747fb 100644
--- a/training/dtrain/examples/parallelized/work/out.0.1
+++ b/training/dtrain/examples/parallelized/work/out.0.1
@@ -2,43 +2,44 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.0.0.in'
+ input 'work/shard.0.0'
output 'work/weights.0.1'
weights in 'work/weights.0'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .... 3
+ ... 3
WEIGHTS
- Glue = -0.40908
- WordPenalty = +0.12967
- LanguageModel = +0.39892
- LanguageModel_OOV = -0.6314
- PhraseModel_0 = -0.63992
- PhraseModel_1 = +0.74198
- PhraseModel_2 = +1.3096
- PhraseModel_3 = -0.1216
- PhraseModel_4 = -1.2274
- PhraseModel_5 = +0.02435
- PhraseModel_6 = -0.21093
- PassThrough = -0.66155
+ Glue = +0.08417
+ WordPenalty = +0.1674
+ LanguageModel = +0.5448
+ LanguageModel_OOV = -0.6311
+ PhraseModel_0 = -0.2931
+ PhraseModel_1 = +1.173
+ PhraseModel_2 = +1.369
+ PhraseModel_3 = +0.1819
+ PhraseModel_4 = -0.8439
+ PhraseModel_5 = +0.02055
+ PhraseModel_6 = -0.3794
+ PassThrough = -0.6827
---
- 1best avg score: 0.15735 (+0.15735)
- 1best avg model score: 46.831
- avg # pairs: 2132.3
- non-0 feature count: 12
+ 1best avg score: 16.83 (+16.83)
+ 1best avg model score: +66.56
+ avg # updates: 2090
+ non-0 feature count: 2218
+ avg f count: 142.5
avg list sz: 100
- avg f count: 10.64
-(time 0.38 min, 7 s/S)
+(time 0.1833 min, 3 s/S)
---
-Best iteration: 1 [GOLD = 0.15735].
-This took 0.38333 min.
+Best iteration: 1 [GOLD = 16.83].
+This took 0.1833 min.
diff --git a/training/dtrain/examples/parallelized/work/out.0.2 b/training/dtrain/examples/parallelized/work/out.0.2
index 9c4b110b..c859db3f 100644
--- a/training/dtrain/examples/parallelized/work/out.0.2
+++ b/training/dtrain/examples/parallelized/work/out.0.2
@@ -2,43 +2,44 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.0.0.in'
+ input 'work/shard.0.0'
output 'work/weights.0.2'
weights in 'work/weights.1'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .... 3
+ ... 3
WEIGHTS
- Glue = -0.44422
- WordPenalty = +0.1032
- LanguageModel = +0.66474
- LanguageModel_OOV = -0.62252
- PhraseModel_0 = -0.59993
- PhraseModel_1 = +0.78992
- PhraseModel_2 = +1.3149
- PhraseModel_3 = +0.21434
- PhraseModel_4 = -1.0174
- PhraseModel_5 = +0.02435
- PhraseModel_6 = -0.18452
- PassThrough = -0.65268
+ Glue = -0.1266
+ WordPenalty = +0.2244
+ LanguageModel = +0.4891
+ LanguageModel_OOV = -0.6065
+ PhraseModel_0 = -0.634
+ PhraseModel_1 = +0.6576
+ PhraseModel_2 = +1.165
+ PhraseModel_3 = +0.01649
+ PhraseModel_4 = -0.8815
+ PhraseModel_5 = +0.04098
+ PhraseModel_6 = -0.5361
+ PassThrough = -0.6292
---
- 1best avg score: 0.24722 (+0.24722)
- 1best avg model score: 61.971
- avg # pairs: 2017.7
- non-0 feature count: 12
+ 1best avg score: 27.3 (+27.3)
+ 1best avg model score: +27.47
+ avg # updates: 1764
+ non-0 feature count: 2824
+ avg f count: 153
avg list sz: 100
- avg f count: 10.42
-(time 0.3 min, 6 s/S)
+(time 0.1833 min, 3 s/S)
---
-Best iteration: 1 [GOLD = 0.24722].
-This took 0.3 min.
+Best iteration: 1 [GOLD = 27.3].
+This took 0.1833 min.
diff --git a/training/dtrain/examples/parallelized/work/out.1.0 b/training/dtrain/examples/parallelized/work/out.1.0
index 3dc4dca6..7a72e275 100644
--- a/training/dtrain/examples/parallelized/work/out.1.0
+++ b/training/dtrain/examples/parallelized/work/out.1.0
@@ -2,42 +2,43 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.1.0.in'
+ input 'work/shard.1.0'
output 'work/weights.1.0'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .... 3
+ ... 3
WEIGHTS
- Glue = -0.2722
- WordPenalty = +0.05433
- LanguageModel = +0.69948
- LanguageModel_OOV = -0.2641
- PhraseModel_0 = -1.4208
- PhraseModel_1 = -1.563
- PhraseModel_2 = -0.21051
- PhraseModel_3 = -0.17764
- PhraseModel_4 = -1.6583
- PhraseModel_5 = +0.0794
- PhraseModel_6 = +0.1528
- PassThrough = -0.2367
+ Glue = +0.2684
+ WordPenalty = -0.2237
+ LanguageModel = -1.104
+ LanguageModel_OOV = +0.1174
+ PhraseModel_0 = -0.9356
+ PhraseModel_1 = -0.9926
+ PhraseModel_2 = -0.2008
+ PhraseModel_3 = -0.7721
+ PhraseModel_4 = +0.5111
+ PhraseModel_5 = +0
+ PhraseModel_6 = -0.6298
+ PassThrough = -0.0118
---
- 1best avg score: 0.071329 (+0.071329)
- 1best avg model score: -41.362
- avg # pairs: 1862.3
- non-0 feature count: 12
+ 1best avg score: 4.189 (+4.189)
+ 1best avg model score: +319.9
+ avg # updates: 2100
+ non-0 feature count: 599
+ avg f count: 213.9
avg list sz: 100
- avg f count: 11.847
-(time 0.28 min, 5 s/S)
+(time 0.1667 min, 3 s/S)
---
-Best iteration: 1 [GOLD = 0.071329].
-This took 0.28333 min.
+Best iteration: 1 [GOLD = 4.189].
+This took 0.1667 min.
diff --git a/training/dtrain/examples/parallelized/work/out.1.1 b/training/dtrain/examples/parallelized/work/out.1.1
index 79ac35dc..bd209601 100644
--- a/training/dtrain/examples/parallelized/work/out.1.1
+++ b/training/dtrain/examples/parallelized/work/out.1.1
@@ -2,43 +2,44 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.1.0.in'
+ input 'work/shard.1.0'
output 'work/weights.1.1'
weights in 'work/weights.0'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .... 3
+ ... 3
WEIGHTS
- Glue = -0.20488
- WordPenalty = -0.0091745
- LanguageModel = +0.79433
- LanguageModel_OOV = -0.4309
- PhraseModel_0 = -0.56242
- PhraseModel_1 = +0.85363
- PhraseModel_2 = +1.3458
- PhraseModel_3 = -0.13095
- PhraseModel_4 = -0.94762
- PhraseModel_5 = +0.02435
- PhraseModel_6 = -0.16003
- PassThrough = -0.46105
+ Glue = +0.4661
+ WordPenalty = +0.07374
+ LanguageModel = +0.3354
+ LanguageModel_OOV = -0.6514
+ PhraseModel_0 = -0.4878
+ PhraseModel_1 = +1.085
+ PhraseModel_2 = +1.48
+ PhraseModel_3 = -0.03441
+ PhraseModel_4 = -0.5739
+ PhraseModel_5 = +0.1023
+ PhraseModel_6 = -0.3455
+ PassThrough = -0.3826
---
- 1best avg score: 0.13017 (+0.13017)
- 1best avg model score: 14.53
- avg # pairs: 1968
- non-0 feature count: 12
+ 1best avg score: 10.18 (+10.18)
+ 1best avg model score: +71.15
+ avg # updates: 2121
+ non-0 feature count: 2275
+ avg f count: 150.8
avg list sz: 100
- avg f count: 11
-(time 0.33 min, 6 s/S)
+(time 0.15 min, 3 s/S)
---
-Best iteration: 1 [GOLD = 0.13017].
-This took 0.33333 min.
+Best iteration: 1 [GOLD = 10.18].
+This took 0.15 min.
diff --git a/training/dtrain/examples/parallelized/work/out.1.2 b/training/dtrain/examples/parallelized/work/out.1.2
index 8c4f8b03..f5fc817b 100644
--- a/training/dtrain/examples/parallelized/work/out.1.2
+++ b/training/dtrain/examples/parallelized/work/out.1.2
@@ -2,43 +2,44 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.1.0.in'
+ input 'work/shard.1.0'
output 'work/weights.1.2'
weights in 'work/weights.1'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .... 3
+ ... 3
WEIGHTS
- Glue = -0.49853
- WordPenalty = +0.07636
- LanguageModel = +1.3183
- LanguageModel_OOV = -0.60902
- PhraseModel_0 = -0.22481
- PhraseModel_1 = +0.86369
- PhraseModel_2 = +1.0747
- PhraseModel_3 = +0.18002
- PhraseModel_4 = -0.84661
- PhraseModel_5 = +0.02435
- PhraseModel_6 = +0.11247
- PassThrough = -0.63918
+ Glue = +0.3277
+ WordPenalty = +0.1759
+ LanguageModel = +0.2799
+ LanguageModel_OOV = -0.5643
+ PhraseModel_0 = -0.7466
+ PhraseModel_1 = +0.6823
+ PhraseModel_2 = +1.309
+ PhraseModel_3 = -0.3185
+ PhraseModel_4 = -0.94
+ PhraseModel_5 = +0.04098
+ PhraseModel_6 = -0.412
+ PassThrough = -0.587
---
- 1best avg score: 0.15478 (+0.15478)
- 1best avg model score: -7.2154
- avg # pairs: 1776
- non-0 feature count: 12
+ 1best avg score: 13.7 (+13.7)
+ 1best avg model score: +71.09
+ avg # updates: 2223
+ non-0 feature count: 2791
+ avg f count: 152.8
avg list sz: 100
- avg f count: 11.327
-(time 0.27 min, 5 s/S)
+(time 0.15 min, 3 s/S)
---
-Best iteration: 1 [GOLD = 0.15478].
-This took 0.26667 min.
+Best iteration: 1 [GOLD = 13.7].
+This took 0.15 min.
diff --git a/training/dtrain/examples/parallelized/work/out.2.0 b/training/dtrain/examples/parallelized/work/out.2.0
index 07c85963..2d27fdc6 100644
--- a/training/dtrain/examples/parallelized/work/out.2.0
+++ b/training/dtrain/examples/parallelized/work/out.2.0
@@ -2,42 +2,43 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.2.0.in'
+ input 'work/shard.2.0'
output 'work/weights.2.0'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .... 3
+ ... 3
WEIGHTS
- Glue = -0.2109
- WordPenalty = +0.14922
- LanguageModel = +0.79686
- LanguageModel_OOV = -0.6627
- PhraseModel_0 = +0.37999
- PhraseModel_1 = +0.69213
- PhraseModel_2 = +0.3422
- PhraseModel_3 = +1.1426
- PhraseModel_4 = -0.55413
- PhraseModel_5 = +0
- PhraseModel_6 = +0.0676
- PassThrough = -0.6343
+ Glue = -0.0099
+ WordPenalty = +0.5556
+ LanguageModel = +3.129
+ LanguageModel_OOV = +0.1064
+ PhraseModel_0 = -0.5801
+ PhraseModel_1 = -0.3003
+ PhraseModel_2 = +0.1759
+ PhraseModel_3 = -0.3496
+ PhraseModel_4 = -2.562
+ PhraseModel_5 = +0.0102
+ PhraseModel_6 = -0.4384
+ PassThrough = +0.0809
---
- 1best avg score: 0.072374 (+0.072374)
- 1best avg model score: -27.384
- avg # pairs: 2582
- non-0 feature count: 11
+ 1best avg score: 9.987 (+9.987)
+ 1best avg model score: -102.2
+ avg # updates: 1862
+ non-0 feature count: 850
+ avg f count: 144.5
avg list sz: 100
- avg f count: 11.54
-(time 0.32 min, 6 s/S)
+(time 0.2 min, 4 s/S)
---
-Best iteration: 1 [GOLD = 0.072374].
-This took 0.31667 min.
+Best iteration: 1 [GOLD = 9.987].
+This took 0.2 min.
diff --git a/training/dtrain/examples/parallelized/work/out.2.1 b/training/dtrain/examples/parallelized/work/out.2.1
index c54bb1b1..a6cef2b1 100644
--- a/training/dtrain/examples/parallelized/work/out.2.1
+++ b/training/dtrain/examples/parallelized/work/out.2.1
@@ -2,43 +2,44 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.2.0.in'
+ input 'work/shard.2.0'
output 'work/weights.2.1'
weights in 'work/weights.0'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .... 3
+ ... 3
WEIGHTS
- Glue = -0.76608
- WordPenalty = +0.15938
- LanguageModel = +1.5897
- LanguageModel_OOV = -0.521
- PhraseModel_0 = -0.58348
- PhraseModel_1 = +0.29828
- PhraseModel_2 = +0.78493
- PhraseModel_3 = +0.083222
- PhraseModel_4 = -0.93843
- PhraseModel_5 = +0.02435
- PhraseModel_6 = -0.27382
- PassThrough = -0.55115
+ 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: 0.12881 (+0.12881)
- 1best avg model score: -9.6731
- avg # pairs: 2020.3
- non-0 feature count: 12
+ 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
- avg f count: 12
-(time 0.32 min, 6 s/S)
+(time 0.2 min, 4 s/S)
---
-Best iteration: 1 [GOLD = 0.12881].
-This took 0.31667 min.
+Best iteration: 1 [GOLD = 9.998].
+This took 0.2 min.
diff --git a/training/dtrain/examples/parallelized/work/out.2.2 b/training/dtrain/examples/parallelized/work/out.2.2
index f5d6229f..908e5214 100644
--- a/training/dtrain/examples/parallelized/work/out.2.2
+++ b/training/dtrain/examples/parallelized/work/out.2.2
@@ -2,43 +2,44 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.2.0.in'
+ input 'work/shard.2.0'
output 'work/weights.2.2'
weights in 'work/weights.1'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .... 3
+ ... 3
WEIGHTS
- Glue = -0.90863
- WordPenalty = +0.10819
- LanguageModel = +0.5239
- LanguageModel_OOV = -0.41623
- PhraseModel_0 = -0.86868
- PhraseModel_1 = +0.40784
- PhraseModel_2 = +1.1793
- PhraseModel_3 = -0.24698
- PhraseModel_4 = -1.2353
- PhraseModel_5 = +0.03375
- PhraseModel_6 = -0.17883
- PassThrough = -0.44638
+ 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: 0.12788 (+0.12788)
- 1best avg model score: 41.302
- avg # pairs: 2246.3
- non-0 feature count: 12
+ 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
- avg f count: 10.98
-(time 0.35 min, 7 s/S)
+(time 0.2 min, 4 s/S)
---
-Best iteration: 1 [GOLD = 0.12788].
-This took 0.35 min.
+Best iteration: 1 [GOLD = 16.34].
+This took 0.2 min.
diff --git a/training/dtrain/examples/parallelized/work/out.3.0 b/training/dtrain/examples/parallelized/work/out.3.0
index fa499523..d2bad0b2 100644
--- a/training/dtrain/examples/parallelized/work/out.3.0
+++ b/training/dtrain/examples/parallelized/work/out.3.0
@@ -2,42 +2,43 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.3.0.in'
+ input 'work/shard.3.0'
output 'work/weights.3.0'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .. 1
+ . 1
WEIGHTS
- Glue = -0.09
- WordPenalty = +0.32442
- LanguageModel = +2.5769
- LanguageModel_OOV = -0.009
- PhraseModel_0 = -0.58972
- PhraseModel_1 = +0.063691
- PhraseModel_2 = +0.5366
- PhraseModel_3 = +0.12867
- PhraseModel_4 = -1.9801
- PhraseModel_5 = +0.018
- PhraseModel_6 = -0.486
- PassThrough = -0.09
+ Glue = -0.081
+ WordPenalty = +0.383
+ LanguageModel = +1.541
+ LanguageModel_OOV = +0.045
+ PhraseModel_0 = -0.36
+ PhraseModel_1 = -0.4623
+ PhraseModel_2 = -0.09999
+ PhraseModel_3 = +0.07974
+ PhraseModel_4 = -1.442
+ PhraseModel_5 = +0.072
+ PhraseModel_6 = +0.0898
+ PassThrough = +0.009
---
- 1best avg score: 0.034204 (+0.034204)
- 1best avg model score: 0
- avg # pairs: 1700
- non-0 feature count: 12
+ 1best avg score: 3.357 (+3.357)
+ 1best avg model score: +0
+ avg # updates: 1699
+ non-0 feature count: 564
+ avg f count: 206.7
avg list sz: 100
- avg f count: 10.8
-(time 0.1 min, 6 s/S)
+(time 0.05 min, 3 s/S)
---
-Best iteration: 1 [GOLD = 0.034204].
-This took 0.1 min.
+Best iteration: 1 [GOLD = 3.357].
+This took 0.05 min.
diff --git a/training/dtrain/examples/parallelized/work/out.3.1 b/training/dtrain/examples/parallelized/work/out.3.1
index c4b3aa3c..3f8c45c4 100644
--- a/training/dtrain/examples/parallelized/work/out.3.1
+++ b/training/dtrain/examples/parallelized/work/out.3.1
@@ -2,43 +2,44 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.3.0.in'
+ input 'work/shard.3.0'
output 'work/weights.3.1'
weights in 'work/weights.0'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .. 1
+ . 1
WEIGHTS
- Glue = +0.31832
- WordPenalty = +0.11139
- LanguageModel = +0.95438
- LanguageModel_OOV = -0.0608
- PhraseModel_0 = -0.98113
- PhraseModel_1 = -0.090531
- PhraseModel_2 = +0.79088
- PhraseModel_3 = -0.57623
- PhraseModel_4 = -1.4382
- PhraseModel_5 = +0.02435
- PhraseModel_6 = -0.10812
- PassThrough = -0.09095
+ Glue = -0.2588
+ WordPenalty = +0.2907
+ LanguageModel = +1.633
+ LanguageModel_OOV = -0.0845
+ PhraseModel_0 = -0.3393
+ PhraseModel_1 = -0.02459
+ PhraseModel_2 = +0.2491
+ PhraseModel_3 = +0.07205
+ PhraseModel_4 = -0.9481
+ PhraseModel_5 = +0.02055
+ PhraseModel_6 = -0.2971
+ PassThrough = -0.3728
---
- 1best avg score: 0.084989 (+0.084989)
- 1best avg model score: -52.323
- avg # pairs: 2487
- non-0 feature count: 12
+ 1best avg score: 4.499 (+4.499)
+ 1best avg model score: -45.68
+ avg # updates: 2016
+ non-0 feature count: 2130
+ avg f count: 175.9
avg list sz: 100
- avg f count: 12
-(time 0.1 min, 6 s/S)
+(time 0.05 min, 3 s/S)
---
-Best iteration: 1 [GOLD = 0.084989].
-This took 0.1 min.
+Best iteration: 1 [GOLD = 4.499].
+This took 0.05 min.
diff --git a/training/dtrain/examples/parallelized/work/out.3.2 b/training/dtrain/examples/parallelized/work/out.3.2
index eb27dac2..d616560d 100644
--- a/training/dtrain/examples/parallelized/work/out.3.2
+++ b/training/dtrain/examples/parallelized/work/out.3.2
@@ -2,43 +2,44 @@ 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
- error margin 1
+ margin 1
l1 reg 0
decoder conf 'cdec.ini'
- input 'work/shard.3.0.in'
+ input 'work/shard.3.0'
output 'work/weights.3.2'
weights in 'work/weights.1'
-(a dot per input)
+(1 dot per processed input)
Iteration #1 of 1.
- .. 1
+ . 1
WEIGHTS
- 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
+ Glue = +0.2167
+ WordPenalty = +0.2738
+ LanguageModel = +0.813
+ LanguageModel_OOV = -0.6426
+ PhraseModel_0 = -0.5211
+ PhraseModel_1 = +0.4933
+ PhraseModel_2 = +0.9179
+ PhraseModel_3 = +0.5142
+ PhraseModel_4 = -0.8559
+ PhraseModel_5 = +0.03138
+ PhraseModel_6 = -0.4129
+ PassThrough = -0.6653
---
- 1best avg score: 0.12674 (+0.12674)
- 1best avg model score: -7.2878
- avg # pairs: 1769
- non-0 feature count: 12
+ 1best avg score: 21.4 (+21.4)
+ 1best avg model score: +8.744
+ avg # updates: 2287
+ non-0 feature count: 2743
+ avg f count: 174.8
avg list sz: 100
- avg f count: 12
-(time 0.1 min, 6 s/S)
+(time 0.05 min, 3 s/S)
---
-Best iteration: 1 [GOLD = 0.12674].
-This took 0.1 min.
+Best iteration: 1 [GOLD = 21.4].
+This took 0.05 min.
diff --git a/training/dtrain/examples/parallelized/work/shard.0.0.in b/training/dtrain/examples/parallelized/work/shard.0.0
index a0ef6f54..a0ef6f54 100644
--- a/training/dtrain/examples/parallelized/work/shard.0.0.in
+++ b/training/dtrain/examples/parallelized/work/shard.0.0
diff --git a/training/dtrain/examples/parallelized/work/shard.1.0.in b/training/dtrain/examples/parallelized/work/shard.1.0
index 05f0273b..05f0273b 100644
--- a/training/dtrain/examples/parallelized/work/shard.1.0.in
+++ b/training/dtrain/examples/parallelized/work/shard.1.0
diff --git a/training/dtrain/examples/parallelized/work/shard.2.0.in b/training/dtrain/examples/parallelized/work/shard.2.0
index 0528d357..0528d357 100644
--- a/training/dtrain/examples/parallelized/work/shard.2.0.in
+++ b/training/dtrain/examples/parallelized/work/shard.2.0
diff --git a/training/dtrain/examples/parallelized/work/shard.3.0.in b/training/dtrain/examples/parallelized/work/shard.3.0
index f7cbb3e3..f7cbb3e3 100644
--- a/training/dtrain/examples/parallelized/work/shard.3.0.in
+++ b/training/dtrain/examples/parallelized/work/shard.3.0
diff --git a/training/dtrain/examples/parallelized/work/weights.0 b/training/dtrain/examples/parallelized/work/weights.0
index 816269cd..560bab86 100644
--- a/training/dtrain/examples/parallelized/work/weights.0
+++ b/training/dtrain/examples/parallelized/work/weights.0
@@ -1,12 +1,2072 @@
-LanguageModel 1.200704259340465
-PhraseModel_4 -1.2434381298299035
-PhraseModel_1 0.050697726409824076
-PhraseModel_0 -0.516923312932941
-PhraseModel_2 0.5051987092783867
-PhraseModel_3 0.20955092377784057
-PassThrough -0.32285
-LanguageModel_OOV -0.29269999999999996
-PhraseModel_6 -0.158425
-Glue -0.05817500000000002
-WordPenalty 0.12758486142112804
-PhraseModel_5 0.02435
+LanguageModel 1.0461718569464984
+PhraseModel_4 -0.9877757214580491
+PhraseModel_1 -0.27641632310025577
+PhraseModel_0 -0.5640090252696333
+PhraseModel_2 0.20626506994462934
+PhraseModel_3 -0.38409074694928547
+PhraseModel_6 -0.31797499999999995
+WordPenalty 0.1940427745143702
+RBT:X1_</r> -0.16625
+RBS:<r>_X -0.14205
+RBT:X2_</r> 0.08432500000000001
+Shape_S10000_T10000 -0.0010500000000000023
+RBS:X_</r> -0.010700000000000005
+RBT:<r>_X1 0.041625000000000016
+R:S:NS_NX:N1_N2 0.093975
+RBT:S1_X2 0.093975
+RBT:<r>_S1 0.093975
+RBS:<r>_S 0.093975
+RBS:S_X 0.093975
+Glue 0.093975
+Shape_S01010_T01010 0.093975
+Shape_S11000_T11000 -0.06510000000000002
+LanguageModel_OOV 0.0026000000000000103
+PassThrough -0.04902499999999999
+Shape_S01110_T01110 0.032375
+RBT:a_X1 -0.070925
+Shape_S01110_T11110 -0.07705
+RBT:<r>_X2 -0.040150000000000005
+RBT:X1_, 0.057374999999999995
+Shape_S01100_T01100 -0.03432500000000001
+Shape_S01111_T01111 0.015300000000000001
+RBT:the_X2 0.0363
+RBT:X1_X2 -0.035675000000000005
+RBT:,_</r> -0.0070250000000000035
+Shape_S01110_T01111 -0.008275000000000001
+Shape_S11000_T01100 0.03605
+RBT:<r>_be -0.059675000000000006
+RBS:die_</r> -0.06317500000000001
+RBT:be_</r> -0.016925000000000003
+RBT:in_the 0.04882500000000001
+RBT:which_is -0.0463
+RBT:intended_X2 -0.0463
+RBT:ensure_X1 -0.0463
+RBT:X2_ensure -0.0463
+R:X:NX_dem_NX:which_is_intended_N2_ensure_N1 -0.0463
+RBT:is_intended -0.0463
+RBT:._</r> -0.0338
+RBT:<r>_have 0.04765
+RBT:demands_X1 -0.016874999999999998
+RBT:made_demands -0.016874999999999998
+R:X:nicht_NX:not_made_demands_N1 -0.016874999999999998
+RBT:not_made -0.016874999999999998
+RBT:jean_@-@ 0.045000000000000005
+RBT:X2_, 0.0427
+RBT:into_</r> -0.0444
+RBT:being_attracted -0.0444
+R:X:NX_dem_NX_in:N1_make_its_choices_count_in_the_N2_,_within 0.0444
+RBT:make_its 0.0444
+RBT:its_choices 0.0444
+RBT:within_</r> 0.0444
+RBT:attracted_into -0.0444
+RBT:X1_being -0.0444
+RBT:X1_make 0.0444
+RBT:choices_count 0.0444
+R:X:NX_in:N1_being_attracted_into -0.0444
+RBT:count_in 0.0444
+RBT:,_within 0.0444
+RBS:X_wie -0.043750000000000004
+RBT:is_</r> -0.04505000000000001
+RBT:history_</r> -0.041675000000000004
+R:X:wird:be -0.041675000000000004
+R:X:das:what -0.041675000000000004
+RBT:for_example -0.041675000000000004
+RBT:what_</r> -0.041675000000000004
+R:X:NX_wie_die:N1_for_example_the -0.041675000000000004
+RBT:for_a -0.041675000000000004
+R:X:NX_geschichte_NX:N2_for_a_N1_history -0.041675000000000004
+RBT:example_the -0.041675000000000004
+RBT:X1_history -0.041675000000000004
+RBT:<r>_what -0.041675000000000004
+R:X:aber:is -0.041675000000000004
+RBT:X2_for -0.041675000000000004
+RBS:X_geschichte -0.041325
+RBT:the_united -0.041325
+RBT:<r>_is -0.044125000000000004
+RBT:gone_ahead 0.0409
+RBT:in_connection -0.0409
+RBT:have_gone 0.0409
+RBT:experience_in -0.0409
+RBT:ahead_X1 0.0409
+R:X:NX_haben:have_gone_ahead_N1 0.0409
+RBT:<r>_experience -0.0409
+RBT:connection_X1 -0.0409
+R:X:NX_haben:experience_in_connection_N1 -0.0409
+RBS:die_X 0.055975000000000004
+RBT:X1_for -0.040625
+RBT:<r>_it 0.0374
+RBT:<r>_, -0.011199999999999998
+RBT:the_</r> -0.051675
+RBT:united_states -0.031950000000000006
+RBT:when_</r> -0.039025
+RBS:aber_</r> -0.037450000000000004
+RBT:and_</r> 0.066825
+RBT:,_X2 -0.015875
+RBT:<r>_history 0.035325
+RBS:wird_</r> -0.027875000000000004
+RBT:<r>_the -0.05772500000000001
+RBT:X1_will 0.010274999999999996
+RBT:<r>_not -0.008274999999999998
+RBS:wird_X 0.011525
+RBT:for_</r> -0.003599999999999999
+RBS:<r>_geschichte 0.034125
+R:X:.:, -0.036275
+RBT:<r>_for -0.03185
+RBT:people_X1 0.035824999999999996
+R:X:und:and 0.0446
+RBS:,_wie 0.0315
+RBT:<r>_people 0.033575
+R:X:es_NX:people_N1 0.031325
+RBS:<r>_wird -0.039725
+RBT:,_and 0.029875000000000002
+R:X:,_wie_die_NX:N1_,_and 0.03045
+RBT:of_</r> 0.030275000000000003
+RBT:<r>_. 0.002450000000000001
+RBS:deutlich_</r> 0.0361
+R:X:für:of 0.030100000000000002
+R:X:für:for -0.030100000000000002
+RBS:X_, 0.018100000000000005
+RBT::_</r> 0.022500000000000003
+R:X:.:: 0.022500000000000003
+RBT:<r>_: 0.022500000000000003
+RBT:if_</r> 0.029950000000000004
+RBT:<r>_but -0.024525
+RBT:but_X1 -0.026625000000000003
+RBT:of_a -0.027000000000000003
+RBT:<r>_when -0.029150000000000002
+R:X:in:to -0.02925
+RBT:states_X2 -0.02925
+R:X:NX_amerika_NX_.:N1_the_united_states_N2_. -0.02925
+RBT:<r>_racist -0.02925
+R:X:rassismus_NX:racist_action_N1 -0.02925
+R:X:in:when -0.02925
+R:X:des_NX:of_a_N1 -0.02925
+RBT:will_soon 0.02925
+RBT:racist_action -0.02925
+RBT:action_X1 -0.02925
+RBT:<r>_do 0.041275000000000006
+RBS:-_X -0.029175000000000003
+RBT:<r>_europe 0.0292
+R:X:es_NX:there_is_,_N1 -0.028900000000000002
+RBT:there_is -0.028900000000000002
+RBT:is_, -0.028900000000000002
+RBT:not_X2 -0.004475
+RBT:<r>_eu 0.0045000000000000005
+RBT:eu_</r> 0.0045000000000000005
+RBT:history_project 0.028650000000000002
+RBT:project_X1 0.028650000000000002
+R:X:geschichte_NX:history_project_N1 0.028650000000000002
+RBT:X2_. -0.028625
+RBT:health_</r> 0.028475
+RBT:<r>_health 0.028475
+R:X:das:health 0.028475
+RBT:<r>_that -0.0323
+RBT:<r>_there -0.033800000000000004
+RBT:<r>_of -0.02105
+RBT:X1_the -0.040825
+RBS:und_</r> -0.00030000000000000165
+RBT:will_</r> 0.016724999999999997
+RBS:und_X -0.001075000000000003
+RBT:to_</r> -0.03025
+RBS:aber_wird 0.027075000000000002
+RBS:geteiltes_X 0.02705
+RBS:geteiltes_</r> -0.02705
+RBS:X_haus -0.02705
+RBS:<r>_haus 0.02705
+RBT:racism_</r> 0.028625000000000005
+RBT:X1_of 0.008625000000000002
+RBT:,_X1 -0.033800000000000004
+R:X:NX_amerika_NX:americans_N1_N2 0.0262
+RBT:<r>_americans 0.0262
+RBT:americans_X1 0.0262
+RBT:<r>_nord 0.0261
+RBT:nord_</r> 0.0261
+R:X:lega:lega 0.0261
+RBT:<r>_northern -0.0261
+RBT:northern_</r> -0.0261
+R:X:nord:northern -0.0261
+R:X:lega_NX:N1_league -0.0261
+RBT:X1_league -0.0261
+RBS:lega_X -0.0261
+RBT:league_</r> -0.0261
+RBT:lega_</r> 0.0261
+RBT:<r>_lega 0.0261
+RBS:lega_</r> 0.0261
+R:X:nord:nord 0.0261
+RBT:<r>_those 0.030100000000000002
+R:X:aber_wird_NX:,_N1_will 0.026025
+Shape_S11000_T11100 0.026025
+R:X:NX_.:N1_, 0.026025
+RBT:those_countries 0.0257
+RBT:countries_</r> 0.0257
+R:X:ländern:those_countries 0.0257
+R:X:rassismus_NX:N1_racism 0.025675
+R:X:in:it 0.025675
+RBT:X1_racism 0.025675
+Shape_S01110_T11010 -0.005425000000000003
+RBT:<r>_racial 0.03425
+RBT:it_</r> 0.03215
+Shape_S01100_T11000 -0.03445
+RBT:<r>_and 0.023174999999999998
+RBT:<r>_soon -0.02475
+RBT:as_</r> 0.0095
+RBT:to_find 0.024575
+R:X:NX_offenere:N1_rather_to_find_more_open 0.024575
+R:X:offenere:use_of_more_transparent -0.024575
+RBT:open_</r> 0.024575
+RBT:more_open 0.024575
+RBT:find_more 0.024575
+RBS:<r>_offenere -0.024575
+RBT:of_more -0.024575
+RBT:more_transparent -0.024575
+RBT:transparent_</r> -0.024575
+RBT:<r>_use -0.024575
+RBT:use_of -0.024575
+RBT:X1_rather 0.024575
+RBT:rather_to 0.024575
+RBS:X_offenere 0.024575
+RBT:<r>_race -0.032350000000000004
+RBT:<r>_at -0.031950000000000006
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diff --git a/training/dtrain/examples/parallelized/work/weights.0.0 b/training/dtrain/examples/parallelized/work/weights.0.0
index be386c62..097a4d57 100644
--- a/training/dtrain/examples/parallelized/work/weights.0.0
+++ b/training/dtrain/examples/parallelized/work/weights.0.0
@@ -1,11 +1,441 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.0.1 b/training/dtrain/examples/parallelized/work/weights.0.1
index d4c77d07..d78646b3 100644
--- a/training/dtrain/examples/parallelized/work/weights.0.1
+++ b/training/dtrain/examples/parallelized/work/weights.0.1
@@ -1,12 +1,2218 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.0.2 b/training/dtrain/examples/parallelized/work/weights.0.2
index 8ce1449b..516d550a 100644
--- a/training/dtrain/examples/parallelized/work/weights.0.2
+++ b/training/dtrain/examples/parallelized/work/weights.0.2
@@ -1,12 +1,2824 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.1 b/training/dtrain/examples/parallelized/work/weights.1
index 2a00be2e..270dbb59 100644
--- a/training/dtrain/examples/parallelized/work/weights.1
+++ b/training/dtrain/examples/parallelized/work/weights.1
@@ -1,12 +1,2641 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.1.0 b/training/dtrain/examples/parallelized/work/weights.1.0
index cdcf959e..894ffd05 100644
--- a/training/dtrain/examples/parallelized/work/weights.1.0
+++ b/training/dtrain/examples/parallelized/work/weights.1.0
@@ -1,12 +1,599 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.1.1 b/training/dtrain/examples/parallelized/work/weights.1.1
index c1bb2cf0..2be217db 100644
--- a/training/dtrain/examples/parallelized/work/weights.1.1
+++ b/training/dtrain/examples/parallelized/work/weights.1.1
@@ -1,12 +1,2275 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.1.2 b/training/dtrain/examples/parallelized/work/weights.1.2
index c9598a04..cd31215b 100644
--- a/training/dtrain/examples/parallelized/work/weights.1.2
+++ b/training/dtrain/examples/parallelized/work/weights.1.2
@@ -1,12 +1,2791 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.2 b/training/dtrain/examples/parallelized/work/weights.2
index 310973ec..d4d991cc 100644
--- a/training/dtrain/examples/parallelized/work/weights.2
+++ b/training/dtrain/examples/parallelized/work/weights.2
@@ -1,12 +1,3283 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.2.0 b/training/dtrain/examples/parallelized/work/weights.2.0
index 3e87fed4..d2258a0f 100644
--- a/training/dtrain/examples/parallelized/work/weights.2.0
+++ b/training/dtrain/examples/parallelized/work/weights.2.0
@@ -1,11 +1,850 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.2.1 b/training/dtrain/examples/parallelized/work/weights.2.1
index d129dc49..903b3c1f 100644
--- a/training/dtrain/examples/parallelized/work/weights.2.1
+++ b/training/dtrain/examples/parallelized/work/weights.2.1
@@ -1,12 +1,2256 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.2.2 b/training/dtrain/examples/parallelized/work/weights.2.2
index bcc83b44..e5e9aa03 100644
--- a/training/dtrain/examples/parallelized/work/weights.2.2
+++ b/training/dtrain/examples/parallelized/work/weights.2.2
@@ -1,12 +1,2883 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.3.0 b/training/dtrain/examples/parallelized/work/weights.3.0
index e3586048..c9ee7c03 100644
--- a/training/dtrain/examples/parallelized/work/weights.3.0
+++ b/training/dtrain/examples/parallelized/work/weights.3.0
@@ -1,12 +1,564 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.3.1 b/training/dtrain/examples/parallelized/work/weights.3.1
index b27687d3..bed63560 100644
--- a/training/dtrain/examples/parallelized/work/weights.3.1
+++ b/training/dtrain/examples/parallelized/work/weights.3.1
@@ -1,12 +1,2130 @@
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diff --git a/training/dtrain/examples/parallelized/work/weights.3.2 b/training/dtrain/examples/parallelized/work/weights.3.2
index ccb591a2..c25a457b 100644
--- a/training/dtrain/examples/parallelized/work/weights.3.2
+++ b/training/dtrain/examples/parallelized/work/weights.3.2
@@ -1,12 +1,2743 @@
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