error

Training the model ...
    epoch 0, minibatch_index 499/500, error 0.975000
epoch 0, train_score 0.978280, valid_score 0.984206
    epoch 1, minibatch_index 499/500, error 0.950000
epoch 1, train_score 0.955370, valid_score 0.975317
    epoch 2, minibatch_index 499/500, error 0.905000
epoch 2, train_score 0.932300, valid_score 0.966667
    epoch 3, minibatch_index 499/500, error 0.885000
epoch 3, train_score 0.908210, valid_score 0.957381
    epoch 4, minibatch_index 499/500, error 0.850000
epoch 4, train_score 0.882020, valid_score 0.950079
    epoch 5, minibatch_index 499/500, error 0.840000
epoch 5, train_score 0.855620, valid_score 0.940000
    epoch 6, minibatch_index 499/500, error 0.810000
epoch 6, train_score 0.829850, valid_score 0.930079
    epoch 7, minibatch_index 499/500, error 0.745000
epoch 7, train_score 0.806180, valid_score 0.920397
    epoch 8, minibatch_index 499/500, error 0.740000
epoch 8, train_score 0.782060, valid_score 0.913095
    epoch 9, minibatch_index 499/500, error 0.720000
epoch 9, train_score 0.759400, valid_score 0.910635
    epoch 10, minibatch_index 499/500, error 0.675000
epoch 10, train_score 0.735950, valid_score 0.906905
    epoch 11, minibatch_index 499/500, error 0.640000
epoch 11, train_score 0.714570, valid_score 0.896905
    epoch 12, minibatch_index 499/500, error 0.630000
epoch 12, train_score 0.694160, valid_score 0.894127
    epoch 13, minibatch_index 499/500, error 0.600000
epoch 13, train_score 0.674830, valid_score 0.887540
    epoch 14, minibatch_index 499/500, error 0.605000
epoch 14, train_score 0.655230, valid_score 0.883651
    epoch 15, minibatch_index 499/500, error 0.580000
epoch 15, train_score 0.638430, valid_score 0.875079
    epoch 16, minibatch_index 499/500, error 0.610000
epoch 16, train_score 0.622000, valid_score 0.873730
    epoch 17, minibatch_index 499/500, error 0.525000
epoch 17, train_score 0.605000, valid_score 0.868175
    epoch 18, minibatch_index 499/500, error 0.535000
epoch 18, train_score 0.590280, valid_score 0.863651
    epoch 19, minibatch_index 499/500, error 0.510000
epoch 19, train_score 0.575730, valid_score 0.857937
    epoch 20, minibatch_index 499/500, error 0.505000
epoch 20, train_score 0.562780, valid_score 0.856508
    epoch 21, minibatch_index 499/500, error 0.510000
epoch 21, train_score 0.550060, valid_score 0.851587
    epoch 22, minibatch_index 499/500, error 0.510000
epoch 22, train_score 0.538240, valid_score 0.850397
    epoch 23, minibatch_index 499/500, error 0.500000
epoch 23, train_score 0.525430, valid_score 0.855556
    epoch 24, minibatch_index 499/500, error 0.500000
epoch 24, train_score 0.514420, valid_score 0.842381
    epoch 25, minibatch_index 499/500, error 0.465000
epoch 25, train_score 0.504760, valid_score 0.841825
    epoch 26, minibatch_index 499/500, error 0.465000
epoch 26, train_score 0.494100, valid_score 0.836746
    epoch 27, minibatch_index 499/500, error 0.455000
epoch 27, train_score 0.484080, valid_score 0.837460
    epoch 28, minibatch_index 499/500, error 0.425000
epoch 28, train_score 0.474840, valid_score 0.834603
    epoch 29, minibatch_index 499/500, error 0.430000
epoch 29, train_score 0.466230, valid_score 0.833175
    epoch 30, minibatch_index 499/500, error 0.430000
epoch 30, train_score 0.457900, valid_score 0.824127
    epoch 31, minibatch_index 499/500, error 0.415000
epoch 31, train_score 0.450060, valid_score 0.830556
    epoch 32, minibatch_index 499/500, error 0.405000
epoch 32, train_score 0.443750, valid_score 0.824286
    epoch 33, minibatch_index 499/500, error 0.395000
epoch 33, train_score 0.434980, valid_score 0.821587
    epoch 34, minibatch_index 499/500, error 0.400000
epoch 34, train_score 0.428030, valid_score 0.822857
    epoch 35, minibatch_index 499/500, error 0.405000
epoch 35, train_score 0.422210, valid_score 0.818810
    epoch 36, minibatch_index 499/500, error 0.400000
epoch 36, train_score 0.414510, valid_score 0.815952
    epoch 37, minibatch_index 499/500, error 0.385000
epoch 37, train_score 0.407630, valid_score 0.816508
    epoch 38, minibatch_index 499/500, error 0.385000
epoch 38, train_score 0.402770, valid_score 0.816825
    epoch 39, minibatch_index 499/500, error 0.375000
epoch 39, train_score 0.395290, valid_score 0.808651
    epoch 40, minibatch_index 499/500, error 0.380000
epoch 40, train_score 0.390030, valid_score 0.813968
    epoch 41, minibatch_index 499/500, error 0.360000
epoch 41, train_score 0.386880, valid_score 0.806111
    epoch 42, minibatch_index 499/500, error 0.355000
epoch 42, train_score 0.378740, valid_score 0.806667
    epoch 43, minibatch_index 499/500, error 0.360000
epoch 43, train_score 0.373010, valid_score 0.809444
    epoch 44, minibatch_index 499/500, error 0.355000
epoch 44, train_score 0.368300, valid_score 0.803968
    epoch 45, minibatch_index 499/500, error 0.350000
epoch 45, train_score 0.363950, valid_score 0.805397
    epoch 46, minibatch_index 499/500, error 0.335000
epoch 46, train_score 0.358850, valid_score 0.801032
    epoch 47, minibatch_index 499/500, error 0.355000
epoch 47, train_score 0.353480, valid_score 0.806508
    epoch 48, minibatch_index 499/500, error 0.360000
epoch 48, train_score 0.348270, valid_score 0.804206
    epoch 49, minibatch_index 499/500, error 0.355000
epoch 49, train_score 0.344200, valid_score 0.801825
    epoch 50, minibatch_index 499/500, error 0.320000
epoch 50, train_score 0.339650, valid_score 0.796508
    epoch 51, minibatch_index 499/500, error 0.330000
epoch 51, train_score 0.337810, valid_score 0.802540
    epoch 52, minibatch_index 499/500, error 0.310000
epoch 52, train_score 0.332210, valid_score 0.798254
    epoch 53, minibatch_index 499/500, error 0.330000
epoch 53, train_score 0.328940, valid_score 0.799524
    epoch 54, minibatch_index 499/500, error 0.320000
epoch 54, train_score 0.323080, valid_score 0.796270
    epoch 55, minibatch_index 499/500, error 0.310000
epoch 55, train_score 0.320980, valid_score 0.797778
    epoch 56, minibatch_index 499/500, error 0.315000
epoch 56, train_score 0.316350, valid_score 0.791349
    epoch 57, minibatch_index 499/500, error 0.305000
epoch 57, train_score 0.313770, valid_score 0.798254
    epoch 58, minibatch_index 499/500, error 0.295000
epoch 58, train_score 0.308920, valid_score 0.789206
    epoch 59, minibatch_index 499/500, error 0.310000
epoch 59, train_score 0.304620, valid_score 0.796508
    epoch 60, minibatch_index 499/500, error 0.295000
epoch 60, train_score 0.305190, valid_score 0.787937
    epoch 61, minibatch_index 499/500, error 0.295000
epoch 61, train_score 0.299440, valid_score 0.792460
    epoch 62, minibatch_index 499/500, error 0.310000
epoch 62, train_score 0.297350, valid_score 0.793016
    epoch 63, minibatch_index 499/500, error 0.295000
epoch 63, train_score 0.293730, valid_score 0.795159
    epoch 64, minibatch_index 499/500, error 0.305000
epoch 64, train_score 0.290330, valid_score 0.788413
    epoch 65, minibatch_index 499/500, error 0.300000
epoch 65, train_score 0.284900, valid_score 0.794683
    epoch 66, minibatch_index 499/500, error 0.280000
epoch 66, train_score 0.281850, valid_score 0.784841
    epoch 67, minibatch_index 499/500, error 0.290000
epoch 67, train_score 0.280860, valid_score 0.788413
    epoch 68, minibatch_index 499/500, error 0.275000
epoch 68, train_score 0.277740, valid_score 0.793333
    epoch 69, minibatch_index 499/500, error 0.265000
epoch 69, train_score 0.274970, valid_score 0.786111
    epoch 70, minibatch_index 499/500, error 0.275000
epoch 70, train_score 0.272070, valid_score 0.786270
    epoch 71, minibatch_index 499/500, error 0.265000
epoch 71, train_score 0.269020, valid_score 0.786746
    epoch 72, minibatch_index 499/500, error 0.260000
epoch 72, train_score 0.265270, valid_score 0.783254
    epoch 73, minibatch_index 499/500, error 0.265000
epoch 73, train_score 0.262340, valid_score 0.786349
    epoch 74, minibatch_index 499/500, error 0.250000
epoch 74, train_score 0.259650, valid_score 0.783730
    epoch 75, minibatch_index 499/500, error 0.275000
epoch 75, train_score 0.256600, valid_score 0.784206
    epoch 76, minibatch_index 499/500, error 0.270000
epoch 76, train_score 0.255270, valid_score 0.786111
    epoch 77, minibatch_index 499/500, error 0.260000
epoch 77, train_score 0.253240, valid_score 0.781270
    epoch 78, minibatch_index 499/500, error 0.235000
epoch 78, train_score 0.250840, valid_score 0.783095
    epoch 79, minibatch_index 499/500, error 0.245000
epoch 79, train_score 0.246490, valid_score 0.778889
    epoch 80, minibatch_index 499/500, error 0.255000
epoch 80, train_score 0.244490, valid_score 0.783651
    epoch 81, minibatch_index 499/500, error 0.250000
epoch 81, train_score 0.242940, valid_score 0.781032
    epoch 82, minibatch_index 499/500, error 0.265000
epoch 82, train_score 0.238700, valid_score 0.782143
    epoch 83, minibatch_index 499/500, error 0.220000
epoch 83, train_score 0.238020, valid_score 0.780397
    epoch 84, minibatch_index 499/500, error 0.240000
epoch 84, train_score 0.235370, valid_score 0.778889
    epoch 85, minibatch_index 499/500, error 0.225000
epoch 85, train_score 0.233700, valid_score 0.781825
    epoch 86, minibatch_index 499/500, error 0.240000
epoch 86, train_score 0.232220, valid_score 0.778095
    epoch 87, minibatch_index 499/500, error 0.235000
epoch 87, train_score 0.229590, valid_score 0.782381
    epoch 88, minibatch_index 499/500, error 0.225000
epoch 88, train_score 0.227910, valid_score 0.779206
    epoch 89, minibatch_index 499/500, error 0.235000
epoch 89, train_score 0.226760, valid_score 0.779286
    epoch 90, minibatch_index 499/500, error 0.250000
epoch 90, train_score 0.225080, valid_score 0.782143
    epoch 91, minibatch_index 499/500, error 0.215000
epoch 91, train_score 0.219850, valid_score 0.783889
    epoch 92, minibatch_index 499/500, error 0.240000
epoch 92, train_score 0.219580, valid_score 0.778968
    epoch 93, minibatch_index 499/500, error 0.200000
epoch 93, train_score 0.219270, valid_score 0.782460
    epoch 94, minibatch_index 499/500, error 0.215000
epoch 94, train_score 0.215920, valid_score 0.777540
    epoch 95, minibatch_index 499/500, error 0.225000
epoch 95, train_score 0.211750, valid_score 0.777222
    epoch 96, minibatch_index 499/500, error 0.205000
epoch 96, train_score 0.210530, valid_score 0.784683
    epoch 97, minibatch_index 499/500, error 0.235000
epoch 97, train_score 0.211470, valid_score 0.782143
    epoch 98, minibatch_index 499/500, error 0.215000
epoch 98, train_score 0.210030, valid_score 0.780476
    epoch 99, minibatch_index 499/500, error 0.180000
epoch 99, train_score 0.208040, valid_score 0.774762
    epoch 100, minibatch_index 499/500, error 0.205000
epoch 100, train_score 0.205310, valid_score 0.786508
    epoch 101, minibatch_index 499/500, error 0.205000
epoch 101, train_score 0.201530, valid_score 0.779048
    epoch 102, minibatch_index 499/500, error 0.215000
epoch 102, train_score 0.204080, valid_score 0.782143
    epoch 103, minibatch_index 499/500, error 0.180000
epoch 103, train_score 0.200610, valid_score 0.778651
    epoch 104, minibatch_index 499/500, error 0.200000
epoch 104, train_score 0.197910, valid_score 0.778413
    epoch 105, minibatch_index 499/500, error 0.205000
epoch 105, train_score 0.197500, valid_score 0.784048
    epoch 106, minibatch_index 499/500, error 0.210000
epoch 106, train_score 0.196580, valid_score 0.778413
    epoch 107, minibatch_index 499/500, error 0.195000
epoch 107, train_score 0.192150, valid_score 0.783889
    epoch 108, minibatch_index 499/500, error 0.205000
epoch 108, train_score 0.193340, valid_score 0.779921
    epoch 109, minibatch_index 499/500, error 0.190000
epoch 109, train_score 0.190980, valid_score 0.776429
    epoch 110, minibatch_index 499/500, error 0.180000
epoch 110, train_score 0.190320, valid_score 0.779841
    epoch 111, minibatch_index 499/500, error 0.200000
epoch 111, train_score 0.187050, valid_score 0.780397
    epoch 112, minibatch_index 499/500, error 0.190000
epoch 112, train_score 0.184730, valid_score 0.775397
    epoch 113, minibatch_index 499/500, error 0.175000
epoch 113, train_score 0.184430, valid_score 0.780635
    epoch 114, minibatch_index 499/500, error 0.200000
epoch 114, train_score 0.183650, valid_score 0.783968
    epoch 115, minibatch_index 499/500, error 0.185000
epoch 115, train_score 0.183110, valid_score 0.780317
    epoch 116, minibatch_index 499/500, error 0.190000
epoch 116, train_score 0.179840, valid_score 0.777302
    epoch 117, minibatch_index 499/500, error 0.180000
epoch 117, train_score 0.179380, valid_score 0.781111
    epoch 118, minibatch_index 499/500, error 0.185000
epoch 118, train_score 0.179150, valid_score 0.780159
    epoch 119, minibatch_index 499/500, error 0.180000
epoch 119, train_score 0.177550, valid_score 0.779365
    epoch 120, minibatch_index 499/500, error 0.190000
epoch 120, train_score 0.176580, valid_score 0.775397
    epoch 121, minibatch_index 499/500, error 0.215000
epoch 121, train_score 0.173980, valid_score 0.788651
    epoch 122, minibatch_index 499/500, error 0.185000
epoch 122, train_score 0.175200, valid_score 0.777540
    epoch 123, minibatch_index 499/500, error 0.205000
epoch 123, train_score 0.172680, valid_score 0.781429
    epoch 124, minibatch_index 499/500, error 0.205000
epoch 124, train_score 0.169740, valid_score 0.785238
    epoch 125, minibatch_index 499/500, error 0.180000
epoch 125, train_score 0.168630, valid_score 0.781111
    epoch 126, minibatch_index 499/500, error 0.170000
epoch 126, train_score 0.167680, valid_score 0.785714
    epoch 127, minibatch_index 499/500, error 0.205000
epoch 127, train_score 0.167200, valid_score 0.777302
    epoch 128, minibatch_index 499/500, error 0.185000
epoch 128, train_score 0.163510, valid_score 0.783968
    epoch 129, minibatch_index 499/500, error 0.155000
epoch 129, train_score 0.162420, valid_score 0.783175
    epoch 130, minibatch_index 499/500, error 0.175000
epoch 130, train_score 0.163300, valid_score 0.783810
    epoch 131, minibatch_index 499/500, error 0.185000
epoch 131, train_score 0.162100, valid_score 0.784683
    epoch 132, minibatch_index 499/500, error 0.150000
epoch 132, train_score 0.161050, valid_score 0.780556
    epoch 133, minibatch_index 499/500, error 0.185000
epoch 133, train_score 0.158920, valid_score 0.782778
    epoch 134, minibatch_index 499/500, error 0.165000
epoch 134, train_score 0.158220, valid_score 0.783730
    epoch 135, minibatch_index 499/500, error 0.185000
epoch 135, train_score 0.159570, valid_score 0.786349
    epoch 136, minibatch_index 499/500, error 0.160000
epoch 136, train_score 0.156250, valid_score 0.780159
    epoch 137, minibatch_index 499/500, error 0.160000
epoch 137, train_score 0.151440, valid_score 0.782222
    epoch 138, minibatch_index 499/500, error 0.170000
epoch 138, train_score 0.155130, valid_score 0.783968
    epoch 139, minibatch_index 499/500, error 0.170000
epoch 139, train_score 0.152960, valid_score 0.788651
    epoch 140, minibatch_index 499/500, error 0.135000
epoch 140, train_score 0.152950, valid_score 0.783413
    epoch 141, minibatch_index 499/500, error 0.160000
epoch 141, train_score 0.150990, valid_score 0.785317
    epoch 142, minibatch_index 499/500, error 0.150000
epoch 142, train_score 0.148710, valid_score 0.782778
    epoch 143, minibatch_index 499/500, error 0.150000
epoch 143, train_score 0.147540, valid_score 0.783413
    epoch 144, minibatch_index 499/500, error 0.220000
epoch 144, train_score 0.152970, valid_score 0.790476
    epoch 145, minibatch_index 499/500, error 0.175000
epoch 145, train_score 0.144640, valid_score 0.785397
    epoch 146, minibatch_index 499/500, error 0.115000
epoch 146, train_score 0.143970, valid_score 0.783968
    epoch 147, minibatch_index 499/500, error 0.120000
epoch 147, train_score 0.143360, valid_score 0.783730
    epoch 148, minibatch_index 499/500, error 0.135000
epoch 148, train_score 0.142550, valid_score 0.786667
    epoch 149, minibatch_index 499/500, error 0.135000
epoch 149, train_score 0.143960, valid_score 0.783095
    epoch 150, minibatch_index 499/500, error 0.205000
epoch 150, train_score 0.142620, valid_score 0.786587
    epoch 151, minibatch_index 499/500, error 0.145000
epoch 151, train_score 0.141150, valid_score 0.785397
    epoch 152, minibatch_index 499/500, error 0.120000
epoch 152, train_score 0.143730, valid_score 0.783413
    epoch 153, minibatch_index 499/500, error 0.190000
epoch 153, train_score 0.137720, valid_score 0.781508
    epoch 154, minibatch_index 499/500, error 0.150000
epoch 154, train_score 0.139390, valid_score 0.786349
    epoch 155, minibatch_index 499/500, error 0.110000
epoch 155, train_score 0.137970, valid_score 0.780794
    epoch 156, minibatch_index 499/500, error 0.165000
epoch 156, train_score 0.137720, valid_score 0.785317
    epoch 157, minibatch_index 499/500, error 0.145000
epoch 157, train_score 0.134690, valid_score 0.780079
    epoch 158, minibatch_index 499/500, error 0.125000
epoch 158, train_score 0.141440, valid_score 0.785317
    epoch 159, minibatch_index 499/500, error 0.110000
epoch 159, train_score 0.136820, valid_score 0.781746
    epoch 160, minibatch_index 499/500, error 0.105000
epoch 160, train_score 0.130390, valid_score 0.781429
    epoch 161, minibatch_index 499/500, error 0.205000
epoch 161, train_score 0.130640, valid_score 0.786508
    epoch 162, minibatch_index 499/500, error 0.115000
epoch 162, train_score 0.130430, valid_score 0.784841
    epoch 163, minibatch_index 499/500, error 0.110000
epoch 163, train_score 0.131710, valid_score 0.784444
    epoch 164, minibatch_index 499/500, error 0.165000
epoch 164, train_score 0.128540, valid_score 0.782460
    epoch 165, minibatch_index 499/500, error 0.110000
epoch 165, train_score 0.130620, valid_score 0.785556
    epoch 166, minibatch_index 499/500, error 0.150000
epoch 166, train_score 0.133440, valid_score 0.784762
    epoch 167, minibatch_index 499/500, error 0.135000
epoch 167, train_score 0.124400, valid_score 0.790159
    epoch 168, minibatch_index 499/500, error 0.180000
epoch 168, train_score 0.124570, valid_score 0.787302
    epoch 169, minibatch_index 499/500, error 0.115000
epoch 169, train_score 0.120740, valid_score 0.785952
    epoch 170, minibatch_index 499/500, error 0.110000
epoch 170, train_score 0.129330, valid_score 0.779841
    epoch 171, minibatch_index 499/500, error 0.105000
epoch 171, train_score 0.129000, valid_score 0.779206
    epoch 172, minibatch_index 11/500, error 0.150000^CTraceback (most recent call last):