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Warning: hi_lo only works with pair_sampling XYX.
cdec cfg 'cdec.ini'
Seeding random number sequence to 1664825829
dtrain
Parameters:
k 4
N 4
T 2
scorer 'bleu'
sample from 'kbest'
filter 'uniq'
learning rate 1
gamma 0
loss margin 0
pairs 'all'
pair threshold 0
select weights 'last'
l1 reg 0 'none'
max pairs 4294967295
cdec cfg 'cdec.ini'
input 'src'
refs 'tgt'
output '-'
(a dot represents 10 inputs)
Iteration #1 of 2.
2
WEIGHTS
logp = +0
shell_rule = -1
house_rule = +2
small_rule = -2
little_rule = +3
PassThrough = -5
---
1best avg score: 0.5 (+0.5)
1best avg model score: 2.5 (+2.5)
avg # pairs: 4
avg # rank err: 1.5
avg # margin viol: 0
non0 feature count: 6
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 = -1
house_rule = +2
small_rule = -2
little_rule = +3
PassThrough = -5
---
1best avg score: 1 (+0.5)
1best avg model score: 5 (+2.5)
avg # pairs: 5
avg # rank err: 0
avg # margin viol: 0
non0 feature count: 6
avg list sz: 4
avg f count: 3
(time 0 min, 0 s/S)
Writing weights file to '-' ...
house_rule 2
little_rule 3
Glue -4
PassThrough -5
small_rule -2
shell_rule -1
done
---
Best iteration: 2 [SCORE 'bleu'=1].
This took 0 min.
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