blob: 9346fc82e0c591389acbaaabb66b15757cd2e5f3 (
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
62
63
64
65
66
|
cdec cfg 'cdec.ini'
Loading the LM will be faster if you build a binary file.
Reading ../standard/nc-wmt11.en.srilm.gz
----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100
****************************************************************************************************
Seeding random number sequence to 3557309480
dtrain
Parameters:
k 100
N 4
T 1
batch 0
scorer 'stupid_bleu'
sample from 'kbest'
filter 'uniq'
learning rate 0.0001
gamma 0
loss margin 1
faster perceptron 0
pairs 'XYX'
hi lo 0.1
pair threshold 0
select weights 'last'
l1 reg 0 'none'
pclr no
max pairs 4294967295
repeat 1
cdec cfg 'cdec.ini'
input ''
output 'work/weights.1.1'
weights in 'work/weights.0'
(a dot represents 10 inputs)
Iteration #1 of 1.
3
WEIGHTS
Glue = -0.26425
WordPenalty = +0.047881
LanguageModel = +0.78496
LanguageModel_OOV = -0.49307
PhraseModel_0 = -0.58703
PhraseModel_1 = -0.33425
PhraseModel_2 = +0.20834
PhraseModel_3 = -0.043346
PhraseModel_4 = -0.60761
PhraseModel_5 = +0.123
PhraseModel_6 = -0.05415
PassThrough = -0.42167
---
1best avg score: 0.085952 (+0.085952)
1best avg model score: -45.175 (-45.175)
avg # pairs: 1180.7
avg # rank err: 668.33
avg # margin viol: 512.33
k-best loss imp: 100%
non0 feature count: 12
avg list sz: 100
avg f count: 12
(time 0.27 min, 5.3 s/S)
Writing weights file to 'work/weights.1.1' ...
done
---
Best iteration: 1 [SCORE 'stupid_bleu'=0.085952].
This took 0.26667 min.
|
