your learning rate is too high, setting it to 1
Num weight bits = 13
learning rate = 1
initial_t = 1
power_t = 0.5
using no cache
Reading datafile = train-sets/wiki1K.dat
num sources = 1
average    since         example     example  current  current  current
loss       last          counter      weight    label  predict features
10.380811  10.380811           3         3.0  unknown   0.0000       37
10.456733  10.532656           6         6.0  unknown   0.0000       13
10.398130  10.327806          11        11.0  unknown   0.0000       31
10.499983  10.601835          22        22.0  unknown   0.0000        1
10.451043  10.402103          44        44.0  unknown   0.0000      165
10.446730  10.442316          87        87.0  unknown   0.0000       28
10.086478  9.726226          174       174.0  unknown   0.0000       16
9.559432   9.032387          348       348.0  unknown   0.0000        1
9.065834   8.572235          696       696.0  unknown   0.0000      142

finished run
number of examples = 1000
weighted example sum = 1000
weighted label sum = 0
average loss = 8.846
best constant = 1
total feature number = 86919
