blob: e2bd664968e403716c89cfcc45f009e81c418910 (
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
|
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 2767202922
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.0.1'
weights in 'work/weights.0'
(a dot represents 10 inputs)
Iteration #1 of 1.
5
WEIGHTS
Glue = -0.2699
WordPenalty = +0.080605
LanguageModel = -0.026572
LanguageModel_OOV = -0.30025
PhraseModel_0 = -0.32076
PhraseModel_1 = +0.67451
PhraseModel_2 = +0.92
PhraseModel_3 = -0.36402
PhraseModel_4 = -0.592
PhraseModel_5 = -0.0269
PhraseModel_6 = -0.28755
PassThrough = -0.33285
---
1best avg score: 0.26638 (+0.26638)
1best avg model score: 53.197 (+53.197)
avg # pairs: 2028.6
avg # rank err: 998.2
avg # margin viol: 918.8
non0 feature count: 12
avg list sz: 100
avg f count: 10.496
(time 0.32 min, 3.8 s/S)
Writing weights file to 'work/weights.0.1' ...
done
---
Best iteration: 1 [SCORE 'stupid_bleu'=0.26638].
This took 0.31667 min.
|
