/usr/share/doc/vowpal-wabbit-doc/examples/test/train-sets/ref/sequence_data.ldf.train.stderr is in vowpal-wabbit-doc 8.1.1-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | final_regressor = models/sequence_data.ldf.model
Num weight bits = 18
learning rate = 0.5
initial_t = 0
power_t = 0.5
decay_learning_rate = 1
creating cache_file = train-sets/sequence_data.cache
Reading datafile = train-sets/sequence_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
4.000000 4.000000 1 [5 4 3 2 1 ] [1 1 1 1 1 ] 0 0 5 0 25 0.000000
2.000000 0.000000 2 [5 4 3 2 1 ] [5 4 3 2 1 ] 1 0 10 0 50 0.000000
1.000000 0.000000 4 [5 4 3 2 1 ] [5 4 3 2 1 ] 3 0 20 0 100 0.000001
0.500000 0.000000 8 [5 4 3 2 1 ] [5 4 3 2 1 ] 7 0 40 0 200 0.000002
0.250000 0.000000 16 [5 4 3 2 1 ] [5 4 3 2 1 ] 15 0 80 0 400 0.000004
finished run
number of examples per pass = 1
passes used = 20
weighted example sum = 20
weighted label sum = 0
average loss = 0.2
total feature number = 1000
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