From 0982b8bbb67a42d4b0e084a217e0acd7ddcff243 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Thu, 26 Feb 2015 23:09:15 +0100 Subject: more fixes --- training/dtrain/examples/parallelized/cdec.ini | 12 +- training/dtrain/examples/parallelized/dtrain.ini | 4 +- training/dtrain/examples/parallelized/work/out.0.0 | 47 +- training/dtrain/examples/parallelized/work/out.0.1 | 49 +- training/dtrain/examples/parallelized/work/out.0.2 | 49 +- training/dtrain/examples/parallelized/work/out.1.0 | 49 +- training/dtrain/examples/parallelized/work/out.1.1 | 49 +- training/dtrain/examples/parallelized/work/out.1.2 | 49 +- training/dtrain/examples/parallelized/work/out.2.0 | 49 +- training/dtrain/examples/parallelized/work/out.2.1 | 49 +- training/dtrain/examples/parallelized/work/out.2.2 | 49 +- training/dtrain/examples/parallelized/work/out.3.0 | 49 +- training/dtrain/examples/parallelized/work/out.3.1 | 49 +- training/dtrain/examples/parallelized/work/out.3.2 | 49 +- .../dtrain/examples/parallelized/work/shard.0.0 | 3 + .../dtrain/examples/parallelized/work/shard.0.0.in | 3 - .../dtrain/examples/parallelized/work/shard.1.0 | 3 + .../dtrain/examples/parallelized/work/shard.1.0.in | 3 - .../dtrain/examples/parallelized/work/shard.2.0 | 3 + .../dtrain/examples/parallelized/work/shard.2.0.in | 3 - .../dtrain/examples/parallelized/work/shard.3.0 | 1 + .../dtrain/examples/parallelized/work/shard.3.0.in | 1 - .../dtrain/examples/parallelized/work/weights.0 | 2084 ++- .../dtrain/examples/parallelized/work/weights.0.0 | 452 +- .../dtrain/examples/parallelized/work/weights.0.1 | 2230 +++- .../dtrain/examples/parallelized/work/weights.0.2 | 2836 +++- .../dtrain/examples/parallelized/work/weights.1 | 2653 +++- .../dtrain/examples/parallelized/work/weights.1.0 | 611 +- .../dtrain/examples/parallelized/work/weights.1.1 | 2287 +++- .../dtrain/examples/parallelized/work/weights.1.2 | 2803 +++- .../dtrain/examples/parallelized/work/weights.2 | 3295 ++++- .../dtrain/examples/parallelized/work/weights.2.0 | 861 +- .../dtrain/examples/parallelized/work/weights.2.1 | 2268 +++- .../dtrain/examples/parallelized/work/weights.2.2 | 2895 +++- .../dtrain/examples/parallelized/work/weights.3.0 | 576 +- .../dtrain/examples/parallelized/work/weights.3.1 | 2142 ++- .../dtrain/examples/parallelized/work/weights.3.2 | 2755 +++- training/dtrain/examples/standard/dtrain.ini | 1 - .../dtrain/examples/standard/expected-output.gz | Bin 21565 -> 853 bytes training/dtrain/examples/standard/nc-wmt11.100.gz | Bin 0 -> 12480 bytes training/dtrain/examples/standard/weights | 13115 +++++++++++++++++++ training/dtrain/examples/toy/cdec.ini | 1 - training/dtrain/examples/toy/dtrain.ini | 4 +- training/dtrain/examples/toy/expected-output | 63 - training/dtrain/examples/toy/weights | 8 +- training/dtrain/parallelize.rb | 16 +- 46 files changed, 44017 insertions(+), 561 deletions(-) create mode 100644 training/dtrain/examples/parallelized/work/shard.0.0 delete mode 100644 training/dtrain/examples/parallelized/work/shard.0.0.in create mode 100644 training/dtrain/examples/parallelized/work/shard.1.0 delete mode 100644 training/dtrain/examples/parallelized/work/shard.1.0.in create mode 100644 training/dtrain/examples/parallelized/work/shard.2.0 delete mode 100644 training/dtrain/examples/parallelized/work/shard.2.0.in create mode 100644 training/dtrain/examples/parallelized/work/shard.3.0 delete mode 100644 training/dtrain/examples/parallelized/work/shard.3.0.in create mode 100644 training/dtrain/examples/standard/nc-wmt11.100.gz create mode 100644 training/dtrain/examples/standard/weights (limited to 'training/dtrain') diff --git a/training/dtrain/examples/parallelized/cdec.ini b/training/dtrain/examples/parallelized/cdec.ini index 733b1653..9a04253f 100644 --- a/training/dtrain/examples/parallelized/cdec.ini +++ b/training/dtrain/examples/parallelized/cdec.ini @@ -1,10 +1,12 @@ formalism=scfg add_pass_through_rules=true +scfg_max_span_limit=15 intersection_strategy=cube_pruning cubepruning_pop_limit=200 -scfg_max_span_limit=15 feature_function=WordPenalty feature_function=KLanguageModel ../standard/nc-wmt11.en.srilm.gz +# all currently working feature functions for translation: +# (with those features active that were used in the ACL paper) #feature_function=ArityPenalty #feature_function=CMR2008ReorderingFeatures #feature_function=Dwarf @@ -14,9 +16,11 @@ feature_function=KLanguageModel ../standard/nc-wmt11.en.srilm.gz #feature_function=NgramFeatures #feature_function=NonLatinCount #feature_function=OutputIndicator -#feature_function=RuleIdentityFeatures -#feature_function=RuleNgramFeatures -#feature_function=RuleShape +feature_function=RuleIdentityFeatures +feature_function=RuleSourceBigramFeatures +feature_function=RuleTargetBigramFeatures +feature_function=RuleShape +#feature_function=LexicalFeatures 1 1 1 #feature_function=SourceSpanSizeFeatures #feature_function=SourceWordPenalty #feature_function=SpanFeatures diff --git a/training/dtrain/examples/parallelized/dtrain.ini b/training/dtrain/examples/parallelized/dtrain.ini index 9fc205a3..829605fb 100644 --- a/training/dtrain/examples/parallelized/dtrain.ini +++ b/training/dtrain/examples/parallelized/dtrain.ini @@ -1,7 +1,7 @@ k=100 N=4 learning_rate=0.0001 -error_margin=1.0 +margin=1.0 iterations=1 -decoder_config=cdec.ini +decoder_conf=cdec.ini 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/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 b/training/dtrain/examples/parallelized/work/shard.0.0 new file mode 100644 index 00000000..a0ef6f54 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.0.0 @@ -0,0 +1,3 @@ +europas nach rassen geteiltes haus ||| europe 's divided racial house +ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . ||| a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . +der lega nord in italien , der vlaams block in den niederlanden , die anhänger von le pens nationaler front in frankreich , sind beispiele für parteien oder bewegungen , die sich um das gemeinsame thema : ablehnung der zuwanderung gebildet haben und um forderung nach einer vereinfachten politik , um sie zu regeln . ||| the lega nord in italy , the vlaams blok in the netherlands , the supporters of le pen 's national front in france , are all examples of parties or movements formed on the common theme of aversion to immigrants and promotion of simplistic policies to control them . diff --git a/training/dtrain/examples/parallelized/work/shard.0.0.in b/training/dtrain/examples/parallelized/work/shard.0.0.in deleted file mode 100644 index a0ef6f54..00000000 --- a/training/dtrain/examples/parallelized/work/shard.0.0.in +++ /dev/null @@ -1,3 +0,0 @@ -europas nach rassen geteiltes haus ||| europe 's divided racial house -ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . ||| a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . -der lega nord in italien , der vlaams block in den niederlanden , die anhänger von le pens nationaler front in frankreich , sind beispiele für parteien oder bewegungen , die sich um das gemeinsame thema : ablehnung der zuwanderung gebildet haben und um forderung nach einer vereinfachten politik , um sie zu regeln . ||| the lega nord in italy , the vlaams blok in the netherlands , the supporters of le pen 's national front in france , are all examples of parties or movements formed on the common theme of aversion to immigrants and promotion of simplistic policies to control them . diff --git a/training/dtrain/examples/parallelized/work/shard.1.0 b/training/dtrain/examples/parallelized/work/shard.1.0 new file mode 100644 index 00000000..05f0273b --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.1.0 @@ -0,0 +1,3 @@ +während individuen wie jörg haidar und jean @-@ marie le pen kommen und ( leider nicht zu bald ) wieder gehen mögen , wird die rassenfrage aus der europäischer politik nicht so bald verschwinden . ||| while individuals like jorg haidar and jean @-@ marie le pen may come and ( never to soon ) go , the race question will not disappear from european politics anytime soon . +eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . ||| an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . +die großen parteien der rechten und der linken mitte haben sich dem problem gestellt , in dem sie den kopf in den sand gesteckt und allen aussichten zuwider gehofft haben , es möge bald verschwinden . ||| mainstream parties of the center left and center right have confronted this prospect by hiding their heads in the ground , hoping against hope that the problem will disappear . diff --git a/training/dtrain/examples/parallelized/work/shard.1.0.in b/training/dtrain/examples/parallelized/work/shard.1.0.in deleted file mode 100644 index 05f0273b..00000000 --- a/training/dtrain/examples/parallelized/work/shard.1.0.in +++ /dev/null @@ -1,3 +0,0 @@ -während individuen wie jörg haidar und jean @-@ marie le pen kommen und ( leider nicht zu bald ) wieder gehen mögen , wird die rassenfrage aus der europäischer politik nicht so bald verschwinden . ||| while individuals like jorg haidar and jean @-@ marie le pen may come and ( never to soon ) go , the race question will not disappear from european politics anytime soon . -eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . ||| an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . -die großen parteien der rechten und der linken mitte haben sich dem problem gestellt , in dem sie den kopf in den sand gesteckt und allen aussichten zuwider gehofft haben , es möge bald verschwinden . ||| mainstream parties of the center left and center right have confronted this prospect by hiding their heads in the ground , hoping against hope that the problem will disappear . diff --git a/training/dtrain/examples/parallelized/work/shard.2.0 b/training/dtrain/examples/parallelized/work/shard.2.0 new file mode 100644 index 00000000..0528d357 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.2.0 @@ -0,0 +1,3 @@ +das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . ||| it will not , as america 's racial history clearly shows . +die beziehungen zwischen den rassen standen in den usa über jahrzehnte - und tun das noch heute - im zentrum der politischen debatte . das ging so weit , daß rassentrennung genauso wichtig wie das einkommen wurde , - wenn nicht sogar noch wichtiger - um politische zuneigungen und einstellungen zu bestimmen . ||| race relations in the us have been for decades - and remain - at the center of political debate , to the point that racial cleavages are as important as income , if not more , as determinants of political preferences and attitudes . +der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . ||| the first step to address racial politics is to understand the origin and consequences of racial animosity , even if it means uncovering unpleasant truths . diff --git a/training/dtrain/examples/parallelized/work/shard.2.0.in b/training/dtrain/examples/parallelized/work/shard.2.0.in deleted file mode 100644 index 0528d357..00000000 --- a/training/dtrain/examples/parallelized/work/shard.2.0.in +++ /dev/null @@ -1,3 +0,0 @@ -das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . ||| it will not , as america 's racial history clearly shows . -die beziehungen zwischen den rassen standen in den usa über jahrzehnte - und tun das noch heute - im zentrum der politischen debatte . das ging so weit , daß rassentrennung genauso wichtig wie das einkommen wurde , - wenn nicht sogar noch wichtiger - um politische zuneigungen und einstellungen zu bestimmen . ||| race relations in the us have been for decades - and remain - at the center of political debate , to the point that racial cleavages are as important as income , if not more , as determinants of political preferences and attitudes . -der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . ||| the first step to address racial politics is to understand the origin and consequences of racial animosity , even if it means uncovering unpleasant truths . diff --git a/training/dtrain/examples/parallelized/work/shard.3.0 b/training/dtrain/examples/parallelized/work/shard.3.0 new file mode 100644 index 00000000..f7cbb3e3 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.3.0 @@ -0,0 +1 @@ +genau das haben in den usa eine große anzahl an forschungsvorhaben in wirtschaft , soziologie , psychologie und politikwissenschaft geleistet . diese forschungen zeigten , daß menschen unterschiedlicher rasse einander deutlich weniger vertrauen . ||| this is precisely what a large amount of research in economics , sociology , psychology and political science has done for the us . diff --git a/training/dtrain/examples/parallelized/work/shard.3.0.in b/training/dtrain/examples/parallelized/work/shard.3.0.in deleted file mode 100644 index f7cbb3e3..00000000 --- a/training/dtrain/examples/parallelized/work/shard.3.0.in +++ /dev/null @@ -1 +0,0 @@ -genau das haben in den usa eine große anzahl an forschungsvorhaben in wirtschaft , soziologie , psychologie und politikwissenschaft geleistet . diese forschungen zeigten , daß menschen unterschiedlicher rasse einander deutlich weniger vertrauen . ||| this is precisely what a large amount of research in economics , sociology , psychology and political science has done for the us . 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 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0.0096000000000000009 +R:X:anhänger:followers -0.0096000000000000009 +RBT:_followers -0.0096000000000000009 +RBT:followers_ -0.0096000000000000009 +R:X:anhänger:supporters 0.0096000000000000009 +RBT:_supporters 0.0096000000000000009 +R:X:um:in -0.0022000000000000001 +R:X:um:for 0.016 +R:X:um:about -0.00040000000000000002 +R:X:um:to -0.0134 +R:X:sich:is -0.013000000000000001 +R:X:sich:, 0.015000000000000001 +R:X:sich:will -0.0012000000000000001 +R:X:sich:are -0.00060000000000000006 +R:X:sich:itself -0.00020000000000000001 +R:X:für:of 0.12040000000000001 +R:X:für:for -0.12040000000000001 +RBS:gebildet_ -0.00060000000000000006 +R:X:gebildet:formed -0.00060000000000000006 +RBT:_formed -0.00060000000000000006 +RBS:gebildet_X 0.00060000000000000006 +R:X:gebildet_NX:N1_formed 0.00060000000000000006 +RBT:X1_formed 0.00060000000000000006 diff --git a/training/dtrain/examples/parallelized/work/weights.0.1 b/training/dtrain/examples/parallelized/work/weights.0.1 index d4c77d07..d78646b3 100644 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0.00060000000000000006 +RBS:einwanderungsproblem_ -0.040000000000000001 +RBT:_immigration 0.1019 +R:X:einwanderungsproblem:immigration 0.061900000000000004 +RBT:immigration_ 0.061900000000000004 +RBT:_issue 0.00020000000000000001 +R:X:einwanderungsproblem:einwanderungsproblem -0.1019 +RBT:_einwanderungsproblem -0.1019 +RBT:einwanderungsproblem_ -0.1019 +RBS:einwanderungsproblem_X 0.040000000000000001 +RBT:immigration_X1 0.040000000000000001 +R:X:einwanderungsproblem_NX:immigration_N1 0.040000000000000001 +R:X:NX_als:N1_and 0.021899999999999999 +R:X:NX_als_NX:N1_the_N2 -0.0074000000000000003 +RBT:X1_issue -0.00020000000000000001 +R:X:sie_NX:it_N1 -0.0132 +RBT:_up 0.00040000000000000002 +R:X:NX_das_NX:N1_the_N2 -0.030000000000000002 +R:X:,_NX:,_N1 0.0097999999999999997 +R:X:NX_daß:that_N1 -0.0053 +RBT:by_X2 0.0091999999999999998 +RBT:X1_: -0.00040000000000000002 +R:X:NX_,:N1_, 0.018000000000000002 +R:X:NX_,_NX:N1_,_N2 -0.027800000000000002 +R:X:die_NX:the_N1 0.0090000000000000011 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0.0032000000000000002 +R:X:NX_gebildet_NX:N2_formed_N1 0.0094000000000000004 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 @@ -PhraseModel_4 -1.1379250444170055 -PhraseModel_2 1.0578050661336098 -LanguageModel 0.9343385461706668 -PhraseModel_0 -0.6917392152965985 -PhraseModel_1 0.4508371141128957 -PassThrough -0.4411750000000001 -Glue -0.265425 -LanguageModel_OOV -0.411025 -PhraseModel_3 -0.186390082624459 -PhraseModel_6 -0.188225 -WordPenalty 0.09781397468665984 -PhraseModel_5 0.02435 +LanguageModel 1.1008595900906253 +PhraseModel_2 0.804224437304719 +PhraseModel_1 0.6242269758630035 +PhraseModel_4 -0.7781209969878504 +PhraseModel_3 0.34257722211028796 +LanguageModel_OOV -0.494175 +PassThrough -0.5169 +PhraseModel_6 -0.341825 +PhraseModel_0 -0.2564652741416422 +Shape_S01010_T01010 0.007300000000000015 +RBT:S1_X2 0.007300000000000015 +R:S:NS_NX:N1_N2 0.007300000000000015 +RBT:_S1 0.007300000000000015 +RBS:_S 0.007300000000000015 +Glue 0.007300000000000015 +RBS:S_X 0.007300000000000015 +Shape_S10000_T10000 -0.11412499999999999 +RBS:X_ -0.08339999999999999 +RBT:X2_ 0.007075000000000033 +WordPenalty 0.21258714889163938 +RBT:X1_ -0.1372 +RBS:_X -0.12465 +RBT:of_ 0.1007 +RBT:_against 0.0555 +RBT:against_ 0.0555 +R:X:zuwider:against 0.0555 +RBT:_of 0.04062500000000001 +RBT:_the -0.08017500000000002 +RBT:the_ -0.076675 +RBT:_and 0.072 +RBT:X1_X2 -0.06735000000000001 +RBT:countries_ 0.059075 +RBT:and_ 0.079425 +RBT:as_ 0.04820000000000001 +RBT:und_ -0.06052500000000001 +R:X:und:und -0.06052500000000001 +RBT:_und -0.06052500000000001 +RBT:_europe 0.059500000000000004 +RBT:,_X1 -0.0626 +Shape_S01110_T11110 -0.07705 +RBS:die_ -0.06860000000000001 +R:X:für:for -0.05697500000000001 +R:X:für:of 0.05697500000000001 +RBT:europe_ 0.052425000000000006 +RBT:ländern_ -0.04187500000000001 +RBT:_ländern -0.04187500000000001 +R:X:ländern:ländern -0.04187500000000001 +RBT:_for -0.0567 +RBT:_X1 0.04132500000000002 +RBT:a_X1 -0.070925 +RBT:X1_, 0.0664 +RBT:zuwider_ -0.0335 +R:X:zuwider:zuwider -0.0335 +RBT:_zuwider -0.0335 +R:X:ländern:countries 0.033375 +RBT:_countries 0.033375 +Shape_S01100_T01100 0.005574999999999993 +R:X:und:and 0.060325000000000004 +RBT:_europas -0.031525000000000004 +RBT:europas_ -0.031525000000000004 +R:X:europas:europas -0.031525000000000004 +RBT:_as 0.044675000000000006 +RBT:_us 0.042575 +Shape_S01111_T01011 -0.04895 +RBS:,_ -0.05367500000000001 +Shape_S11000_T11000 -0.05635000000000002 +RBT:_be -0.059800000000000006 +R:X:europas:europe 0.04055 +RBT:_marie 0.044475 +R:X:marie:marie 0.044475 +RBT:marie_ 0.044475 +RBT:_even -0.039525000000000005 +Shape_S01100_T11000 -0.035225 +RBT:,_ 0.02045 +R:X:europäischen:europäischen -0.039575 +RBT:_europäischen -0.039575 +RBT:europäischen_ -0.039575 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-0.0023 +RBT:creation_, -0.0023 +RBS:_sand -0.0076 +RBS:sand_ -0.0076 +RBT:_sand -0.0076 +R:X:sand:sand___the_same_sand -0.0076 +RBS:sand_X 0.0076 +RBT:X1_sand 0.0076 +RBS:X_sand 0.0076 +R:X:NX_sand_NX:N2_out_N1_sand___the_same_sand 0.0076 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 @@ -WordPenalty -0.0091744709302067785 -LanguageModel 0.79433413663506514 -LanguageModel_OOV -0.43090000000000001 -PhraseModel_0 -0.56242499947237046 -PhraseModel_1 0.85362516703032698 -PhraseModel_2 1.3457900890481096 -PhraseModel_3 -0.13095079554478939 -PhraseModel_4 -0.94761908497413061 -PhraseModel_5 0.02435 -PhraseModel_6 -0.160025 -Glue -0.20487500000000003 -PassThrough -0.46105000000000007 +WordPenalty 0.073743203027169232 +LanguageModel 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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 @@ -WordPenalty 0.076359827280638559 -LanguageModel 1.3183380272921175 -LanguageModel_OOV -0.60902499999999993 -PhraseModel_0 -0.2248075206657828 -PhraseModel_1 0.86368802571834491 -PhraseModel_2 1.0746702462261808 -PhraseModel_3 0.18002263643876637 -PhraseModel_4 -0.84660750337519441 -PhraseModel_5 0.02435 -PhraseModel_6 0.11247499999999999 -Glue -0.49852500000000005 -PassThrough -0.63917500000000005 +WordPenalty 0.17593269461900604 +LanguageModel 0.27986529123093962 +LanguageModel_OOV -0.56427499999999997 +Shape_S10000_T10000 -0.037324999999999983 +Shape_S11000_T11000 -0.26305000000000006 +Shape_S11000_T01100 0.094500000000000001 +Shape_S11000_T11100 0.026025 +Shape_S01100_T11000 0.031675000000000002 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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 @@ -WordPenalty 0.11138567724613679 -LanguageModel 0.95438136276453733 -LanguageModel_OOV -0.060799999999999937 -PhraseModel_0 -0.98112865741560529 -PhraseModel_1 -0.090531125075232435 -PhraseModel_2 0.79088062624556033 -PhraseModel_3 -0.57623134776057228 -PhraseModel_4 -1.4382448344095151 -PhraseModel_5 0.02435 -PhraseModel_6 -0.108125 -Glue 0.31832499999999997 -PassThrough -0.090950000000000003 +WordPenalty 0.29067329673784403 +LanguageModel 1.6327939710028472 +LanguageModel_OOV -0.084500000000000006 +Shape_S10000_T10000 -0.31505 +Shape_S11000_T11000 -0.065800000000000025 +Shape_S11000_T01100 0.027449999999999999 +Shape_S11000_T11100 0.026025 +Shape_S01100_T11000 0.029350000000000008 +Shape_S01100_T01100 -0.03582500000000001 +Shape_S01100_T11100 -0.0045000000000000005 +Shape_S11100_T11100 0.013775000000000003 +Shape_S01010_T01010 -0.25882499999999997 +Shape_S01110_T11010 0.0088749999999999975 +Shape_S01110_T01110 0.032375000000000001 +Shape_S01110_T11110 -0.077049999999999993 +Shape_S01110_T01011 -0.017325 +Shape_S01110_T01111 -0.0082750000000000011 +Shape_S11110_T11010 0.021925 +Shape_S11110_T01110 -0.013950000000000001 +Shape_S11110_T11110 -0.0017249999999999991 +Shape_S01111_T01011 -0.016375000000000001 +Shape_S01111_T01111 0.015300000000000001 +PhraseModel_0 -0.33934701626682356 +PhraseModel_1 -0.024593976031199449 +PhraseModel_2 0.24912931107992931 +PhraseModel_3 0.072051607083535196 +PhraseModel_4 -0.94808152688480796 +PhraseModel_5 0.020550000000000002 +PhraseModel_6 -0.29707499999999998 +Glue -0.25882499999999997 +RBT:X1_ -0.096750000000000003 +RBS:_X -0.073450000000000001 +RBT:X2_ -0.228075 +RBS:X_ -0.32629999999999998 +RBT:_X1 0.023525000000000015 +R:S:NS_NX:N1_N2 -0.25882499999999997 +RBT:S1_X2 -0.25882499999999997 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+RBS:versäumnisse_X 83.099999999999994 +RBT:failures_X1 27.800000000000001 +R:X:beide_NX:both_N1 14.000000000000004 +RBS:beide_X -50.800000000000004 +R:X:NX_versäumnisse:N1_failures -0.20000000000000001 +RBS:X_versäumnisse 55.100000000000001 +RBT:X1_failures 55.100000000000001 +R:X:NX_versäumnisse_NX:N1_failures_N2 55.300000000000004 +RBT:failures_X2 55.300000000000004 +R:X:gruppen:groups 12.700000000000001 +RBS:_gruppen 13.300000000000001 +R:X:gruppen_NX:groups_N1 0.60000000000000009 +R:X:beide_NX_.:both_N1_. -64.799999999999997 diff --git a/training/dtrain/examples/toy/cdec.ini b/training/dtrain/examples/toy/cdec.ini index e6c19abe..b14f4819 100644 --- a/training/dtrain/examples/toy/cdec.ini +++ b/training/dtrain/examples/toy/cdec.ini @@ -1,4 +1,3 @@ formalism=scfg add_pass_through_rules=true grammar=grammar.gz -#add_extra_pass_through_features=6 diff --git a/training/dtrain/examples/toy/dtrain.ini b/training/dtrain/examples/toy/dtrain.ini index 378224b8..140b3a75 100644 --- a/training/dtrain/examples/toy/dtrain.ini +++ b/training/dtrain/examples/toy/dtrain.ini @@ -1,8 +1,8 @@ -decoder_config=cdec.ini bitext=in -output=weights k=4 N=4 iterations=2 learning_rate=1 +output=weights +decoder_conf=cdec.ini print_weights=logp shell_rule house_rule small_rule little_rule PassThrough PassThrough_1 PassThrough_2 PassThrough_3 PassThrough_4 PassThrough_5 PassThrough_6 diff --git a/training/dtrain/examples/toy/expected-output b/training/dtrain/examples/toy/expected-output index 8c758d00..e69de29b 100644 --- a/training/dtrain/examples/toy/expected-output +++ b/training/dtrain/examples/toy/expected-output @@ -1,63 +0,0 @@ -dtrain -Parameters: - k 4 - N 4 - T 2 - learning rate 1 - error margin 0 - l1 reg 0 - decoder conf 'cdec.ini' - input 'in' - output 'weights' -(a dot per input) -Iteration #1 of 2. - ... 2 -WEIGHTS - logp = +0 - shell_rule = +0 - house_rule = +3 - small_rule = +0 - little_rule = +3 - PassThrough = -15 - PassThrough_1 = +0 - PassThrough_2 = +0 - PassThrough_3 = +0 - PassThrough_4 = +0 - PassThrough_5 = +0 - PassThrough_6 = +0 - --- - 1best avg score: 0.40937 (+0.40937) - 1best avg model score: 3 - avg # pairs: 2.5 - non-0 feature count: 4 - avg list sz: 4 - avg f count: 2.875 -(time 0 min, 0 s/S) - -Iteration #2 of 2. - ... 2 -WEIGHTS - logp = +0 - shell_rule = +0 - house_rule = +3 - small_rule = +0 - little_rule = +3 - PassThrough = -15 - PassThrough_1 = +0 - PassThrough_2 = +0 - PassThrough_3 = +0 - PassThrough_4 = +0 - PassThrough_5 = +0 - PassThrough_6 = +0 - --- - 1best avg score: 0.81873 (+0.40937) - 1best avg model score: 6 - avg # pairs: 0 - non-0 feature count: 4 - avg list sz: 4 - avg f count: 3 -(time 0 min, 0 s/S) - ---- -Best iteration: 2 [GOLD = 0.81873]. -This took 0 min. diff --git a/training/dtrain/examples/toy/weights b/training/dtrain/examples/toy/weights index f6f32772..5c1931ff 100644 --- a/training/dtrain/examples/toy/weights +++ b/training/dtrain/examples/toy/weights @@ -1,4 +1,6 @@ -house_rule 3 +house_rule 4 +shell_rule -2 +small_rule -1 little_rule 3 -Glue -12 -PassThrough -15 +Glue -8 +PassThrough -10 diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index 563145b6..128f3f98 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -9,13 +9,13 @@ conf = Trollop::options do opt :epochs, "number of epochs", :type => :int, :default => 10 opt :randomize, "randomize shards once", :type => :bool, :default => false, :short => '-z' opt :reshard, "randomize after each epoch", :type => :bool, :default => false, :short => '-y' - opt :shards, "number of shards", :type => :int :short => '-s' + opt :shards, "number of shards", :type => :int, :short => '-s' opt :weights, "input weights for first epoch", :type => :string, :default => '', :short => '-w' opt :lplp_args, "arguments for lplp.rb", :type => :string, :default => "l2 select_k 100000", :short => '-l' opt :per_shard_decoder_configs, "give custom decoder config per shard", :type => :string, :short => '-o' opt :processes_at_once, "jobs to run at oce", :type => :int, :default => 9999, :short => '-p' opt :qsub, "use qsub", :type => :bool, :default => false, :short => '-q' - opt :qsub_args, "extra args for qsub", :type => :string, :default => "-l h_vmem=5G", :short => 'r' + opt :qsub_args, "extra args for qsub", :type => :string, :default => "h_vmem=5G", :short => 'r' opt :dtrain_binary, "path to dtrain binary", :type => :string, :short => '-d' end @@ -28,7 +28,7 @@ end lplp_rb = "#{dtrain_dir}/lplp.rb" lplp_args = conf[:lplp_args] -dtrain_conf = conf[:config] +dtrain_conf = conf[:conf] epochs = conf[:epochs] rand = conf[:randomize] reshard = conf[:reshard] @@ -55,7 +55,7 @@ def make_shards input, num_shards, epoch, rand index.shuffle! if rand shard_sz = (lc / num_shards.to_f).round 0 leftover = lc - (num_shards*shard_sz) - leftover = max(0, leftover) + leftover = [0, leftover].max in_f = File.new input, 'r' in_lines = in_f.readlines shard_in_files = [] @@ -109,7 +109,7 @@ end break if remaining_shards==0 qsub_str_start = qsub_str_end = local_end = '' if use_qsub - qsub_str_start = "qsub #{conf[:qsub_args]} -cwd -sync y -b y -j y\ + qsub_str_start = "qsub -l #{conf[:qsub_args]} -cwd -sync y -b y -j y\ -o work/out.#{shard}.#{epoch}\ -N dtrain.#{shard}.#{epoch} \"" qsub_str_end = "\"" @@ -118,7 +118,7 @@ end local_end = "2>work/out.#{shard}.#{epoch}" end if per_shard_decoder_configs - cdec_conf = "--decoder_config #{decoder_configs[shard]}" + cdec_conf = "--decoder_conf #{decoder_configs[shard]}" else cdec_conf = "" end @@ -126,10 +126,6 @@ end input_weights = "--input_weights #{first_input_weights}" end pids << Kernel.fork { - puts "#{qsub_str_start}#{dtrain_bin} -c #{dtrain_conf} #{cdec_conf}\ - #{input_weights}\ - --bitext #{input_files[shard]}\ - --output work/weights.#{shard}.#{epoch}#{qsub_str_end} #{local_end}" `#{qsub_str_start}#{dtrain_bin} -c #{dtrain_conf} #{cdec_conf}\ #{input_weights}\ --bitext #{input_files[shard]}\ -- cgit v1.2.3