Training the model ...
epoch 0, minibatch_index 199/200, error 0.980000
epoch 0, train_score 0.981920, valid_score 0.985120
epoch 1, minibatch_index 199/200, error 0.970000
epoch 1, train_score 0.966220, valid_score 0.978880
epoch 2, minibatch_index 199/200, error 0.936000
epoch 2, train_score 0.939180, valid_score 0.962000
epoch 3, minibatch_index 199/200, error 0.902000
epoch 3, train_score 0.909490, valid_score 0.951280
epoch 4, minibatch_index 199/200, error 0.860000
epoch 4, train_score 0.880050, valid_score 0.936960
epoch 5, minibatch_index 199/200, error 0.816000
epoch 5, train_score 0.850390, valid_score 0.923360
epoch 6, minibatch_index 199/200, error 0.842000
epoch 6, train_score 0.821610, valid_score 0.921840
epoch 7, minibatch_index 199/200, error 0.818000
epoch 7, train_score 0.794550, valid_score 0.909680
epoch 8, minibatch_index 199/200, error 0.760000
epoch 8, train_score 0.767890, valid_score 0.905840
epoch 9, minibatch_index 199/200, error 0.754000
epoch 9, train_score 0.746010, valid_score 0.886640
epoch 10, minibatch_index 199/200, error 0.712000
epoch 10, train_score 0.725360, valid_score 0.873920
epoch 11, minibatch_index 199/200, error 0.708000
epoch 11, train_score 0.706780, valid_score 0.872000
epoch 12, minibatch_index 199/200, error 0.684000
epoch 12, train_score 0.685420, valid_score 0.868400
epoch 13, minibatch_index 199/200, error 0.706000
epoch 13, train_score 0.670460, valid_score 0.871440
epoch 14, minibatch_index 199/200, error 0.658000
epoch 14, train_score 0.657160, valid_score 0.847920
epoch 15, minibatch_index 199/200, error 0.642000
epoch 15, train_score 0.639900, valid_score 0.844800
epoch 16, minibatch_index 199/200, error 0.640000
epoch 16, train_score 0.626590, valid_score 0.844640
epoch 17, minibatch_index 199/200, error 0.596000
epoch 17, train_score 0.612180, valid_score 0.830720
epoch 18, minibatch_index 199/200, error 0.638000
epoch 18, train_score 0.601290, valid_score 0.841360
epoch 19, minibatch_index 199/200, error 0.592000
epoch 19, train_score 0.587440, valid_score 0.823840
0 0.98192 0.98512
1 0.96622 0.97888
2 0.93918 0.962
3 0.90949 0.95128
4 0.88005 0.93696
5 0.85039 0.92336
6 0.82161 0.92184
7 0.79455 0.90968
8 0.76789 0.90584
9 0.74601 0.88664
10 0.72536 0.87392
11 0.70678 0.872
12 0.68542 0.8684
13 0.67046 0.87144
14 0.65716 0.84792
15 0.6399 0.8448
16 0.62659 0.84464
17 0.61218 0.83072
18 0.60129 0.84136
19 0.58744 0.82384
epoch 0, minibatch_index 199/200, error 0.980000
epoch 0, train_score 0.981920, valid_score 0.985120
epoch 1, minibatch_index 199/200, error 0.970000
epoch 1, train_score 0.966220, valid_score 0.978880
epoch 2, minibatch_index 199/200, error 0.936000
epoch 2, train_score 0.939180, valid_score 0.962000
epoch 3, minibatch_index 199/200, error 0.902000
epoch 3, train_score 0.909490, valid_score 0.951280
epoch 4, minibatch_index 199/200, error 0.860000
epoch 4, train_score 0.880050, valid_score 0.936960
epoch 5, minibatch_index 199/200, error 0.816000
epoch 5, train_score 0.850390, valid_score 0.923360
epoch 6, minibatch_index 199/200, error 0.842000
epoch 6, train_score 0.821610, valid_score 0.921840
epoch 7, minibatch_index 199/200, error 0.818000
epoch 7, train_score 0.794550, valid_score 0.909680
epoch 8, minibatch_index 199/200, error 0.760000
epoch 8, train_score 0.767890, valid_score 0.905840
epoch 9, minibatch_index 199/200, error 0.754000
epoch 9, train_score 0.746010, valid_score 0.886640
epoch 10, minibatch_index 199/200, error 0.712000
epoch 10, train_score 0.725360, valid_score 0.873920
epoch 11, minibatch_index 199/200, error 0.708000
epoch 11, train_score 0.706780, valid_score 0.872000
epoch 12, minibatch_index 199/200, error 0.684000
epoch 12, train_score 0.685420, valid_score 0.868400
epoch 13, minibatch_index 199/200, error 0.706000
epoch 13, train_score 0.670460, valid_score 0.871440
epoch 14, minibatch_index 199/200, error 0.658000
epoch 14, train_score 0.657160, valid_score 0.847920
epoch 15, minibatch_index 199/200, error 0.642000
epoch 15, train_score 0.639900, valid_score 0.844800
epoch 16, minibatch_index 199/200, error 0.640000
epoch 16, train_score 0.626590, valid_score 0.844640
epoch 17, minibatch_index 199/200, error 0.596000
epoch 17, train_score 0.612180, valid_score 0.830720
epoch 18, minibatch_index 199/200, error 0.638000
epoch 18, train_score 0.601290, valid_score 0.841360
epoch 19, minibatch_index 199/200, error 0.592000
epoch 19, train_score 0.587440, valid_score 0.823840
0 0.98192 0.98512
1 0.96622 0.97888
2 0.93918 0.962
3 0.90949 0.95128
4 0.88005 0.93696
5 0.85039 0.92336
6 0.82161 0.92184
7 0.79455 0.90968
8 0.76789 0.90584
9 0.74601 0.88664
10 0.72536 0.87392
11 0.70678 0.872
12 0.68542 0.8684
13 0.67046 0.87144
14 0.65716 0.84792
15 0.6399 0.8448
16 0.62659 0.84464
17 0.61218 0.83072
18 0.60129 0.84136
19 0.58744 0.82384