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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
10.380830 10.380830 3 3.0 unknown 0.0000 37
10.456700 10.532571 6 6.0 unknown 0.0000 13
10.398070 10.327713 11 11.0 unknown 0.0000 31
10.499986 10.601903 22 22.0 unknown 0.0000 1
10.451025 10.402064 44 44.0 unknown 0.0000 165
10.446713 10.442300 87 87.0 unknown 0.0000 28
10.076803 9.706893 174 174.0 unknown 0.0000 16
9.506702 8.936600 348 348.0 unknown 0.0000 1
8.930677 8.354652 696 696.0 unknown 0.0000 142
finished run
number of examples = 1000
weighted example sum = 1000
weighted label sum = 0
average loss = 8.716
best constant = 1
total feature number = 86919
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