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-rw-r--r--training/dtrain/examples/standard/cdec.ini1
-rw-r--r--training/dtrain/examples/standard/dtrain.ini2
-rw-r--r--training/dtrain/examples/standard/expected-output116
3 files changed, 60 insertions, 59 deletions
diff --git a/training/dtrain/examples/standard/cdec.ini b/training/dtrain/examples/standard/cdec.ini
index e1edc68d..6cba9e1e 100644
--- a/training/dtrain/examples/standard/cdec.ini
+++ b/training/dtrain/examples/standard/cdec.ini
@@ -21,6 +21,7 @@ feature_function=RuleIdentityFeatures
feature_function=RuleSourceBigramFeatures
feature_function=RuleTargetBigramFeatures
feature_function=RuleShape
+feature_function=RuleWordAlignmentFeatures
#feature_function=SourceSpanSizeFeatures
#feature_function=SourceWordPenalty
#feature_function=SpanFeatures
diff --git a/training/dtrain/examples/standard/dtrain.ini b/training/dtrain/examples/standard/dtrain.ini
index fc83f08e..a515db02 100644
--- a/training/dtrain/examples/standard/dtrain.ini
+++ b/training/dtrain/examples/standard/dtrain.ini
@@ -2,7 +2,7 @@
#refs=./nc-wmt11.en.gz
bitext=./nc-wmt11.gz
output=- # a weights file (add .gz for gzip compression) or STDOUT '-'
-select_weights=VOID # output average (over epochs) weight vector
+select_weights=avg # output average (over epochs) weight vector
decoder_config=./cdec.ini # config for cdec
# weights for these features will be printed on each iteration
print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough
diff --git a/training/dtrain/examples/standard/expected-output b/training/dtrain/examples/standard/expected-output
index 75f47337..fa831221 100644
--- a/training/dtrain/examples/standard/expected-output
+++ b/training/dtrain/examples/standard/expected-output
@@ -4,7 +4,7 @@ Reading ./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
-Seeding random number sequence to 3751911392
+Seeding random number sequence to 4138446869
dtrain
Parameters:
@@ -22,7 +22,7 @@ Parameters:
pairs 'XYX'
hi lo 0.1
pair threshold 0
- select weights 'VOID'
+ select weights 'avg'
l1 reg 0 'none'
pclr no
max pairs 4294967295
@@ -36,87 +36,87 @@ Iteration #1 of 3.
. 10
Stopping after 10 input sentences.
WEIGHTS
- Glue = -110
- WordPenalty = -8.2082
- LanguageModel = -319.91
- LanguageModel_OOV = -19.2
- PhraseModel_0 = +312.82
- PhraseModel_1 = -161.02
- PhraseModel_2 = -433.65
- PhraseModel_3 = +291.03
- PhraseModel_4 = +252.32
- PhraseModel_5 = +50.6
- PhraseModel_6 = +146.7
- PassThrough = -38.7
+ Glue = -80.3
+ WordPenalty = -51.247
+ LanguageModel = +282.46
+ LanguageModel_OOV = -85.8
+ PhraseModel_0 = -100.06
+ PhraseModel_1 = -98.692
+ PhraseModel_2 = -9.4958
+ PhraseModel_3 = +18.535
+ PhraseModel_4 = +62.35
+ PhraseModel_5 = +7
+ PhraseModel_6 = +31.4
+ PassThrough = -126.5
---
- 1best avg score: 0.16966 (+0.16966)
- 1best avg model score: 29874 (+29874)
- avg # pairs: 906.3
+ 1best avg score: 0.25631 (+0.25631)
+ 1best avg model score: -4843.6 (-4843.6)
+ avg # pairs: 744.4
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
- non0 feature count: 832
+ non0 feature count: 1274
avg list sz: 91.3
- avg f count: 139.77
-(time 0.35 min, 2.1 s/S)
+ avg f count: 143.72
+(time 0.4 min, 2.4 s/S)
Iteration #2 of 3.
. 10
WEIGHTS
- Glue = -122.1
- WordPenalty = +83.689
- LanguageModel = +233.23
- LanguageModel_OOV = -145.1
- PhraseModel_0 = +150.72
- PhraseModel_1 = -272.84
- PhraseModel_2 = -418.36
- PhraseModel_3 = +181.63
- PhraseModel_4 = -289.47
- PhraseModel_5 = +140.3
- PhraseModel_6 = +3.5
- PassThrough = -109.7
+ Glue = -117.4
+ WordPenalty = -99.584
+ LanguageModel = +395.05
+ LanguageModel_OOV = -136.8
+ PhraseModel_0 = +40.614
+ PhraseModel_1 = -123.29
+ PhraseModel_2 = -152
+ PhraseModel_3 = -161.13
+ PhraseModel_4 = -76.379
+ PhraseModel_5 = +39.1
+ PhraseModel_6 = +137.7
+ PassThrough = -162.1
---
- 1best avg score: 0.17399 (+0.004325)
- 1best avg model score: 4936.9 (-24937)
- avg # pairs: 662.4
+ 1best avg score: 0.26751 (+0.011198)
+ 1best avg model score: -10061 (-5216.9)
+ avg # pairs: 639.1
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
- non0 feature count: 1240
+ non0 feature count: 1845
avg list sz: 91.3
- avg f count: 125.11
-(time 0.27 min, 1.6 s/S)
+ avg f count: 139.88
+(time 0.35 min, 2.1 s/S)
Iteration #3 of 3.
. 10
WEIGHTS
- Glue = -157.4
- WordPenalty = -1.7372
- LanguageModel = +686.18
- LanguageModel_OOV = -399.7
- PhraseModel_0 = -39.876
- PhraseModel_1 = -341.96
- PhraseModel_2 = -318.67
- PhraseModel_3 = +105.08
- PhraseModel_4 = -290.27
- PhraseModel_5 = -48.6
- PhraseModel_6 = -43.6
- PassThrough = -298.5
+ Glue = -101.1
+ WordPenalty = -139.97
+ LanguageModel = +327.98
+ LanguageModel_OOV = -234.7
+ PhraseModel_0 = -144.49
+ PhraseModel_1 = -263.88
+ PhraseModel_2 = -149.25
+ PhraseModel_3 = -38.805
+ PhraseModel_4 = +50.575
+ PhraseModel_5 = -52.4
+ PhraseModel_6 = +41.6
+ PassThrough = -230.2
---
- 1best avg score: 0.30742 (+0.13343)
- 1best avg model score: -15393 (-20329)
- avg # pairs: 623.8
+ 1best avg score: 0.36222 (+0.094717)
+ 1best avg model score: -17416 (-7355.5)
+ avg # pairs: 661.2
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
- non0 feature count: 1776
+ non0 feature count: 2163
avg list sz: 91.3
- avg f count: 118.58
-(time 0.28 min, 1.7 s/S)
+ avg f count: 132.53
+(time 0.33 min, 2 s/S)
Writing weights file to '-' ...
done
---
-Best iteration: 3 [SCORE 'fixed_stupid_bleu'=0.30742].
-This took 0.9 min.
+Best iteration: 3 [SCORE 'fixed_stupid_bleu'=0.36222].
+This took 1.0833 min.
generated by cgit v1.2.3 (git 2.39.1) at 2024-11-06 15:21:28 +0000