blob: aad69cedbf8abb8d79c5bd4a7f74e1a6b6a47a2f (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
|
only testing
Num weight bits = 18
learning rate = 10
initial_t = 1
power_t = 0.5
predictions = sequencespan_data.predict
switching to BILOU encoding for sequence span labeling
using no cache
Reading datafile = train-sets/sequencespan_data
num sources = 1
average since instance current true current predicted cur cur predic cache examples
loss last counter output prefix output prefix pass pol made hits gener beta
0.000000 0.000000 1 [2 1 1 2 2 1 6 7 7 ..] [2 1 1 2 2 1 6 7 7 ..] 0 0 15 0 0 0.000000
finished run
number of examples per pass = 1
passes used = 1
weighted example sum = 1
weighted label sum = 0
average loss = 0
total feature number = 45
|
