blob: 7a00ed0f4861780af71a7f2d0a7d78b9028f1f7e (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
|
cdec cfg 'cdec.ini'
Loading the LM will be faster if you build a binary file.
Reading ../example/nc-wmt11.en.srilm.gz
----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100
****************************************************************************************************
Seeding random number sequence to 3121929377
dtrain
Parameters:
k 100
N 4
T 1
scorer 'stupid_bleu'
sample from 'kbest'
filter 'uniq'
learning rate 0.0001
gamma 0
loss margin 1
pairs 'XYX'
hi lo 0.1
pair threshold 0
select weights 'last'
l1 reg 0 'none'
max pairs 4294967295
cdec cfg 'cdec.ini'
input 'work/shard.0.0.in'
refs 'work/shard.0.0.refs'
output 'work/weights.0.0'
(a dot represents 10 inputs)
Iteration #1 of 1.
5
WEIGHTS
Glue = +0.2663
WordPenalty = -0.0079042
LanguageModel = +0.44782
LanguageModel_OOV = -0.0401
PhraseModel_0 = -0.193
PhraseModel_1 = +0.71321
PhraseModel_2 = +0.85196
PhraseModel_3 = -0.43986
PhraseModel_4 = -0.44803
PhraseModel_5 = -0.0538
PhraseModel_6 = -0.1788
PassThrough = -0.1477
---
1best avg score: 0.17521 (+0.17521)
1best avg model score: 21.556 (+21.556)
avg # pairs: 1671.2
avg # rank err: 1118.6
avg # margin viol: 552.6
non0 feature count: 12
avg list sz: 100
avg f count: 11.32
(time 0.37 min, 4.4 s/S)
Writing weights file to 'work/weights.0.0' ...
done
---
Best iteration: 1 [SCORE 'stupid_bleu'=0.17521].
This took 0.36667 min.
|
