chibi@1604:~$ sudo nvidia-docker run --rm -ti nvcr.io/nvidia/pytorch:17.10
17.10: Pulling from nvidia/pytorch
f5c64a3438f6: Pulling fs layer
51899d335aae: Pulling fs layer
6ff2b7de3c13: Pulling fs layer
50366c31f7fd: Pulling fs layer
f441b9a68d13: Waiting
8bc3cd6b8363: Pull complete
167b211710ea: Pull complete
010f509c1f2c: Pull complete
0318015c2c5a: Pull complete
b3dc559bb348: Pull complete
eda985ffff46: Pull complete
da7af78b4b5e: Pull complete
d811f75976b4: Pull complete
b84c13e9449e: Pull complete
909a4d66f580: Pull complete
a975cc02f81f: Pull complete
4f51627a5e38: Pull complete
2d79077582d7: Pull complete
e187c51c20e4: Pull complete
ad2096090c3e: Pull complete
8299a541e278: Pull complete
192e5d9a8b26: Pull complete
d70ad35454a9: Pull complete
8bd184212435: Pull complete
9cb0d64fdae5: Pull complete
98cecdb420ea: Pull complete
c574c0962515: Pull complete
d53efb8213ab: Pull complete
Digest: sha256:b650c89c8415bddb31e4c72fecca2aa5a904aa2aeb27b571a001df426270207c
Status: Downloaded newer image for nvcr.io/nvidia/pytorch:17.10

=============
== PyTorch ==
=============

NVIDIA Release 17.10 (build 192702)

Container image Copyright (c) 2017, NVIDIA CORPORATION.  All rights reserved.

Copyright (c) 2016-     Facebook, Inc            (Adam Paszke)
Copyright (c) 2014-     Facebook, Inc            (Soumith Chintala)
Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)
Copyright (c) 2012-2014 Deepmind Technologies    (Koray Kavukcuoglu)
Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)
Copyright (c) 2011-2013 NYU                      (Clement Farabet)
Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
Copyright (c) 2006      Idiap Research Institute (Samy Bengio)
Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)
All rights reserved.

Various files include modifications (c) NVIDIA CORPORATION.  All rights reserved.
NVIDIA modifications are covered by the license terms that apply to the underlying project or file.

NOTE: The SHMEM allocation limit is set to the default of 64MB.  This may be
   insufficient for PyTorch.  NVIDIA recommends the use of the following flags:
   nvidia-docker run --ipc=host ...

root@a65b6615cec3:/workspace# cd /opt/pytorch/examples/mnist && time python main.py
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
Processing...
Done!
Train Epoch: 1 [0/60000 (0%)]   Loss: 2.390087
Train Epoch: 1 [640/60000 (1%)] Loss: 2.350225
Train Epoch: 1 [1280/60000 (2%)]        Loss: 2.288934
Train Epoch: 1 [1920/60000 (3%)]        Loss: 2.279396
Train Epoch: 1 [2560/60000 (4%)]        Loss: 2.272692
Train Epoch: 1 [3200/60000 (5%)]        Loss: 2.279640
Train Epoch: 1 [3840/60000 (6%)]        Loss: 2.276944
Train Epoch: 1 [4480/60000 (7%)]        Loss: 2.233707
Train Epoch: 1 [5120/60000 (9%)]        Loss: 2.222649
Train Epoch: 1 [5760/60000 (10%)]       Loss: 2.181699
Train Epoch: 1 [6400/60000 (11%)]       Loss: 2.159016
Train Epoch: 1 [7040/60000 (12%)]       Loss: 2.055779
Train Epoch: 1 [7680/60000 (13%)]       Loss: 2.065890
Train Epoch: 1 [8320/60000 (14%)]       Loss: 1.916480
Train Epoch: 1 [8960/60000 (15%)]       Loss: 1.910268
Train Epoch: 1 [9600/60000 (16%)]       Loss: 1.704504
Train Epoch: 1 [10240/60000 (17%)]      Loss: 1.554525
Train Epoch: 1 [10880/60000 (18%)]      Loss: 1.621117
Train Epoch: 1 [11520/60000 (19%)]      Loss: 1.521305
Train Epoch: 1 [12160/60000 (20%)]      Loss: 1.533543
Train Epoch: 1 [12800/60000 (21%)]      Loss: 1.339470
Train Epoch: 1 [13440/60000 (22%)]      Loss: 1.382869
Train Epoch: 1 [14080/60000 (23%)]      Loss: 1.338094
Train Epoch: 1 [14720/60000 (25%)]      Loss: 1.271376
Train Epoch: 1 [15360/60000 (26%)]      Loss: 1.084346
Train Epoch: 1 [16000/60000 (27%)]      Loss: 1.204976
Train Epoch: 1 [16640/60000 (28%)]      Loss: 0.879644
Train Epoch: 1 [17280/60000 (29%)]      Loss: 0.776240
Train Epoch: 1 [17920/60000 (30%)]      Loss: 0.967955
Train Epoch: 1 [18560/60000 (31%)]      Loss: 0.913667
Train Epoch: 1 [19200/60000 (32%)]      Loss: 1.190108
Train Epoch: 1 [19840/60000 (33%)]      Loss: 0.847057
Train Epoch: 1 [20480/60000 (34%)]      Loss: 0.893181
Train Epoch: 1 [21120/60000 (35%)]      Loss: 1.072115
Train Epoch: 1 [21760/60000 (36%)]      Loss: 0.982275
Train Epoch: 1 [22400/60000 (37%)]      Loss: 0.725554
Train Epoch: 1 [23040/60000 (38%)]      Loss: 0.858674
Train Epoch: 1 [23680/60000 (39%)]      Loss: 0.810362
Train Epoch: 1 [24320/60000 (41%)]      Loss: 0.785607
Train Epoch: 1 [24960/60000 (42%)]      Loss: 0.735104
Train Epoch: 1 [25600/60000 (43%)]      Loss: 0.584801
Train Epoch: 1 [26240/60000 (44%)]      Loss: 0.722361
Train Epoch: 1 [26880/60000 (45%)]      Loss: 0.745441
Train Epoch: 1 [27520/60000 (46%)]      Loss: 0.510521
Train Epoch: 1 [28160/60000 (47%)]      Loss: 0.767266
Train Epoch: 1 [28800/60000 (48%)]      Loss: 0.596363
Train Epoch: 1 [29440/60000 (49%)]      Loss: 0.570127
Train Epoch: 1 [30080/60000 (50%)]      Loss: 0.746539
Train Epoch: 1 [30720/60000 (51%)]      Loss: 0.802764
Train Epoch: 1 [31360/60000 (52%)]      Loss: 0.824961
Train Epoch: 1 [32000/60000 (53%)]      Loss: 0.653731
Train Epoch: 1 [32640/60000 (54%)]      Loss: 0.854700
Train Epoch: 1 [33280/60000 (55%)]      Loss: 0.437190
Train Epoch: 1 [33920/60000 (57%)]      Loss: 0.668879
Train Epoch: 1 [34560/60000 (58%)]      Loss: 0.589972
Train Epoch: 1 [35200/60000 (59%)]      Loss: 0.549752
Train Epoch: 1 [35840/60000 (60%)]      Loss: 0.499882
Train Epoch: 1 [36480/60000 (61%)]      Loss: 0.505056
Train Epoch: 1 [37120/60000 (62%)]      Loss: 0.515400
Train Epoch: 1 [37760/60000 (63%)]      Loss: 0.687045
Train Epoch: 1 [38400/60000 (64%)]      Loss: 0.769006
Train Epoch: 1 [39040/60000 (65%)]      Loss: 0.778845
Train Epoch: 1 [39680/60000 (66%)]      Loss: 0.788898
Train Epoch: 1 [40320/60000 (67%)]      Loss: 0.708807
Train Epoch: 1 [40960/60000 (68%)]      Loss: 0.610943
Train Epoch: 1 [41600/60000 (69%)]      Loss: 0.841368
Train Epoch: 1 [42240/60000 (70%)]      Loss: 0.470925
Train Epoch: 1 [42880/60000 (71%)]      Loss: 0.680037
Train Epoch: 1 [43520/60000 (72%)]      Loss: 0.618858
Train Epoch: 1 [44160/60000 (74%)]      Loss: 0.804774
Train Epoch: 1 [44800/60000 (75%)]      Loss: 0.494690
Train Epoch: 1 [45440/60000 (76%)]      Loss: 0.519919
Train Epoch: 1 [46080/60000 (77%)]      Loss: 0.538886
Train Epoch: 1 [46720/60000 (78%)]      Loss: 0.302490
Train Epoch: 1 [47360/60000 (79%)]      Loss: 0.494316
Train Epoch: 1 [48000/60000 (80%)]      Loss: 0.658624
Train Epoch: 1 [48640/60000 (81%)]      Loss: 0.442131
Train Epoch: 1 [49280/60000 (82%)]      Loss: 0.339786
Train Epoch: 1 [49920/60000 (83%)]      Loss: 0.509530
Train Epoch: 1 [50560/60000 (84%)]      Loss: 0.555628
Train Epoch: 1 [51200/60000 (85%)]      Loss: 0.359551
Train Epoch: 1 [51840/60000 (86%)]      Loss: 0.589983
Train Epoch: 1 [52480/60000 (87%)]      Loss: 0.600549
Train Epoch: 1 [53120/60000 (88%)]      Loss: 0.435738
Train Epoch: 1 [53760/60000 (90%)]      Loss: 0.516126
Train Epoch: 1 [54400/60000 (91%)]      Loss: 0.569731
Train Epoch: 1 [55040/60000 (92%)]      Loss: 0.372230
Train Epoch: 1 [55680/60000 (93%)]      Loss: 0.680658
Train Epoch: 1 [56320/60000 (94%)]      Loss: 0.504032
Train Epoch: 1 [56960/60000 (95%)]      Loss: 0.531712
Train Epoch: 1 [57600/60000 (96%)]      Loss: 0.408429
Train Epoch: 1 [58240/60000 (97%)]      Loss: 0.381579
Train Epoch: 1 [58880/60000 (98%)]      Loss: 0.313044
Train Epoch: 1 [59520/60000 (99%)]      Loss: 0.540889

Test set: Average loss: 0.2043, Accuracy: 9405/10000 (94%)

Train Epoch: 2 [0/60000 (0%)]   Loss: 0.477690
Train Epoch: 2 [640/60000 (1%)] Loss: 0.530436
Train Epoch: 2 [1280/60000 (2%)]        Loss: 0.890070
Train Epoch: 2 [1920/60000 (3%)]        Loss: 0.470327
Train Epoch: 2 [2560/60000 (4%)]        Loss: 0.328679
Train Epoch: 2 [3200/60000 (5%)]        Loss: 0.283732
Train Epoch: 2 [3840/60000 (6%)]        Loss: 0.240150
Train Epoch: 2 [4480/60000 (7%)]        Loss: 0.392729
Train Epoch: 2 [5120/60000 (9%)]        Loss: 0.296234
Train Epoch: 2 [5760/60000 (10%)]       Loss: 0.310178
Train Epoch: 2 [6400/60000 (11%)]       Loss: 0.332216
Train Epoch: 2 [7040/60000 (12%)]       Loss: 0.362442
Train Epoch: 2 [7680/60000 (13%)]       Loss: 0.400840
Train Epoch: 2 [8320/60000 (14%)]       Loss: 0.387581
Train Epoch: 2 [8960/60000 (15%)]       Loss: 0.596205
Train Epoch: 2 [9600/60000 (16%)]       Loss: 0.376176
Train Epoch: 2 [10240/60000 (17%)]      Loss: 0.534071
Train Epoch: 2 [10880/60000 (18%)]      Loss: 0.552004
Train Epoch: 2 [11520/60000 (19%)]      Loss: 0.306408
Train Epoch: 2 [12160/60000 (20%)]      Loss: 0.370716
Train Epoch: 2 [12800/60000 (21%)]      Loss: 0.331633
Train Epoch: 2 [13440/60000 (22%)]      Loss: 0.328285
Train Epoch: 2 [14080/60000 (23%)]      Loss: 0.523611
Train Epoch: 2 [14720/60000 (25%)]      Loss: 0.360093
Train Epoch: 2 [15360/60000 (26%)]      Loss: 0.605873
Train Epoch: 2 [16000/60000 (27%)]      Loss: 0.678503
Train Epoch: 2 [16640/60000 (28%)]      Loss: 0.299240
Train Epoch: 2 [17280/60000 (29%)]      Loss: 0.203107
Train Epoch: 2 [17920/60000 (30%)]      Loss: 0.502583
Train Epoch: 2 [18560/60000 (31%)]      Loss: 0.433676
Train Epoch: 2 [19200/60000 (32%)]      Loss: 0.408177
Train Epoch: 2 [19840/60000 (33%)]      Loss: 0.306357
Train Epoch: 2 [20480/60000 (34%)]      Loss: 0.382319
Train Epoch: 2 [21120/60000 (35%)]      Loss: 0.201971
Train Epoch: 2 [21760/60000 (36%)]      Loss: 0.442331
Train Epoch: 2 [22400/60000 (37%)]      Loss: 0.424086
Train Epoch: 2 [23040/60000 (38%)]      Loss: 0.287600
Train Epoch: 2 [23680/60000 (39%)]      Loss: 0.348036
Train Epoch: 2 [24320/60000 (41%)]      Loss: 0.345973
Train Epoch: 2 [24960/60000 (42%)]      Loss: 0.520979
Train Epoch: 2 [25600/60000 (43%)]      Loss: 0.475524
Train Epoch: 2 [26240/60000 (44%)]      Loss: 0.569553
Train Epoch: 2 [26880/60000 (45%)]      Loss: 0.368591
Train Epoch: 2 [27520/60000 (46%)]      Loss: 0.326874
Train Epoch: 2 [28160/60000 (47%)]      Loss: 0.401051
Train Epoch: 2 [28800/60000 (48%)]      Loss: 0.216066
Train Epoch: 2 [29440/60000 (49%)]      Loss: 0.585390
Train Epoch: 2 [30080/60000 (50%)]      Loss: 0.458805
Train Epoch: 2 [30720/60000 (51%)]      Loss: 0.299687
Train Epoch: 2 [31360/60000 (52%)]      Loss: 0.341212
Train Epoch: 2 [32000/60000 (53%)]      Loss: 0.403189
Train Epoch: 2 [32640/60000 (54%)]      Loss: 0.324936
Train Epoch: 2 [33280/60000 (55%)]      Loss: 0.319100
Train Epoch: 2 [33920/60000 (57%)]      Loss: 0.409926
Train Epoch: 2 [34560/60000 (58%)]      Loss: 0.501737
Train Epoch: 2 [35200/60000 (59%)]      Loss: 0.322495
Train Epoch: 2 [35840/60000 (60%)]      Loss: 0.292069
Train Epoch: 2 [36480/60000 (61%)]      Loss: 0.568443
Train Epoch: 2 [37120/60000 (62%)]      Loss: 0.333113
Train Epoch: 2 [37760/60000 (63%)]      Loss: 0.297943
Train Epoch: 2 [38400/60000 (64%)]      Loss: 0.370342
Train Epoch: 2 [39040/60000 (65%)]      Loss: 0.411003
Train Epoch: 2 [39680/60000 (66%)]      Loss: 0.357750
Train Epoch: 2 [40320/60000 (67%)]      Loss: 0.233499
Train Epoch: 2 [40960/60000 (68%)]      Loss: 0.301158
Train Epoch: 2 [41600/60000 (69%)]      Loss: 0.499297
Train Epoch: 2 [42240/60000 (70%)]      Loss: 0.286900
Train Epoch: 2 [42880/60000 (71%)]      Loss: 0.312930
Train Epoch: 2 [43520/60000 (72%)]      Loss: 0.352066
Train Epoch: 2 [44160/60000 (74%)]      Loss: 0.443612
Train Epoch: 2 [44800/60000 (75%)]      Loss: 0.468676
Train Epoch: 2 [45440/60000 (76%)]      Loss: 0.378990
Train Epoch: 2 [46080/60000 (77%)]      Loss: 0.440025
Train Epoch: 2 [46720/60000 (78%)]      Loss: 0.290753
Train Epoch: 2 [47360/60000 (79%)]      Loss: 0.169503
Train Epoch: 2 [48000/60000 (80%)]      Loss: 0.363479
Train Epoch: 2 [48640/60000 (81%)]      Loss: 0.308491
Train Epoch: 2 [49280/60000 (82%)]      Loss: 0.430178
Train Epoch: 2 [49920/60000 (83%)]      Loss: 0.433397
Train Epoch: 2 [50560/60000 (84%)]      Loss: 0.377291
Train Epoch: 2 [51200/60000 (85%)]      Loss: 0.320015
Train Epoch: 2 [51840/60000 (86%)]      Loss: 0.309481
Train Epoch: 2 [52480/60000 (87%)]      Loss: 0.252354
Train Epoch: 2 [53120/60000 (88%)]      Loss: 0.397933
Train Epoch: 2 [53760/60000 (90%)]      Loss: 0.233578
Train Epoch: 2 [54400/60000 (91%)]      Loss: 0.321285
Train Epoch: 2 [55040/60000 (92%)]      Loss: 0.593747
Train Epoch: 2 [55680/60000 (93%)]      Loss: 0.344479
Train Epoch: 2 [56320/60000 (94%)]      Loss: 0.563203
Train Epoch: 2 [56960/60000 (95%)]      Loss: 0.513370
Train Epoch: 2 [57600/60000 (96%)]      Loss: 0.312963
Train Epoch: 2 [58240/60000 (97%)]      Loss: 0.276785
Train Epoch: 2 [58880/60000 (98%)]      Loss: 0.291433
Train Epoch: 2 [59520/60000 (99%)]      Loss: 0.565569

Test set: Average loss: 0.1266, Accuracy: 9605/10000 (96%)

Train Epoch: 3 [0/60000 (0%)]   Loss: 0.235127
Train Epoch: 3 [640/60000 (1%)] Loss: 0.416067
Train Epoch: 3 [1280/60000 (2%)]        Loss: 0.186412
Train Epoch: 3 [1920/60000 (3%)]        Loss: 0.224971
Train Epoch: 3 [2560/60000 (4%)]        Loss: 0.412118
Train Epoch: 3 [3200/60000 (5%)]        Loss: 0.284040
Train Epoch: 3 [3840/60000 (6%)]        Loss: 0.333950
Train Epoch: 3 [4480/60000 (7%)]        Loss: 0.334824
Train Epoch: 3 [5120/60000 (9%)]        Loss: 0.231430
Train Epoch: 3 [5760/60000 (10%)]       Loss: 0.344397
Train Epoch: 3 [6400/60000 (11%)]       Loss: 0.345601
Train Epoch: 3 [7040/60000 (12%)]       Loss: 0.228643
Train Epoch: 3 [7680/60000 (13%)]       Loss: 0.386863
Train Epoch: 3 [8320/60000 (14%)]       Loss: 0.244683
Train Epoch: 3 [8960/60000 (15%)]       Loss: 0.337949
Train Epoch: 3 [9600/60000 (16%)]       Loss: 0.458302
Train Epoch: 3 [10240/60000 (17%)]      Loss: 0.305215
Train Epoch: 3 [10880/60000 (18%)]      Loss: 0.361046
Train Epoch: 3 [11520/60000 (19%)]      Loss: 0.376276
Train Epoch: 3 [12160/60000 (20%)]      Loss: 0.196863
Train Epoch: 3 [12800/60000 (21%)]      Loss: 0.288291
Train Epoch: 3 [13440/60000 (22%)]      Loss: 0.138716
Train Epoch: 3 [14080/60000 (23%)]      Loss: 0.367753
Train Epoch: 3 [14720/60000 (25%)]      Loss: 0.412773
Train Epoch: 3 [15360/60000 (26%)]      Loss: 0.249212
Train Epoch: 3 [16000/60000 (27%)]      Loss: 0.293597
Train Epoch: 3 [16640/60000 (28%)]      Loss: 0.274212
Train Epoch: 3 [17280/60000 (29%)]      Loss: 0.178519
Train Epoch: 3 [17920/60000 (30%)]      Loss: 0.240438
Train Epoch: 3 [18560/60000 (31%)]      Loss: 0.470916
Train Epoch: 3 [19200/60000 (32%)]      Loss: 0.270617
Train Epoch: 3 [19840/60000 (33%)]      Loss: 0.386383
Train Epoch: 3 [20480/60000 (34%)]      Loss: 0.355129
Train Epoch: 3 [21120/60000 (35%)]      Loss: 0.488602
Train Epoch: 3 [21760/60000 (36%)]      Loss: 0.407337
Train Epoch: 3 [22400/60000 (37%)]      Loss: 0.324299
Train Epoch: 3 [23040/60000 (38%)]      Loss: 0.369690
Train Epoch: 3 [23680/60000 (39%)]      Loss: 0.326673
Train Epoch: 3 [24320/60000 (41%)]      Loss: 0.375067
Train Epoch: 3 [24960/60000 (42%)]      Loss: 0.374305
Train Epoch: 3 [25600/60000 (43%)]      Loss: 0.153856
Train Epoch: 3 [26240/60000 (44%)]      Loss: 0.262499
Train Epoch: 3 [26880/60000 (45%)]      Loss: 0.319810
Train Epoch: 3 [27520/60000 (46%)]      Loss: 0.272916
Train Epoch: 3 [28160/60000 (47%)]      Loss: 0.267344
Train Epoch: 3 [28800/60000 (48%)]      Loss: 0.265858
Train Epoch: 3 [29440/60000 (49%)]      Loss: 0.285214
Train Epoch: 3 [30080/60000 (50%)]      Loss: 0.291447
Train Epoch: 3 [30720/60000 (51%)]      Loss: 0.522578
Train Epoch: 3 [31360/60000 (52%)]      Loss: 0.309822
Train Epoch: 3 [32000/60000 (53%)]      Loss: 0.326136
Train Epoch: 3 [32640/60000 (54%)]      Loss: 0.310941
Train Epoch: 3 [33280/60000 (55%)]      Loss: 0.276509
Train Epoch: 3 [33920/60000 (57%)]      Loss: 0.186245
Train Epoch: 3 [34560/60000 (58%)]      Loss: 0.425605
Train Epoch: 3 [35200/60000 (59%)]      Loss: 0.136664
Train Epoch: 3 [35840/60000 (60%)]      Loss: 0.277819
Train Epoch: 3 [36480/60000 (61%)]      Loss: 0.374329
Train Epoch: 3 [37120/60000 (62%)]      Loss: 0.240595
Train Epoch: 3 [37760/60000 (63%)]      Loss: 0.390450
Train Epoch: 3 [38400/60000 (64%)]      Loss: 0.146034
Train Epoch: 3 [39040/60000 (65%)]      Loss: 0.240853
Train Epoch: 3 [39680/60000 (66%)]      Loss: 0.268065
Train Epoch: 3 [40320/60000 (67%)]      Loss: 0.290787
Train Epoch: 3 [40960/60000 (68%)]      Loss: 0.338623
Train Epoch: 3 [41600/60000 (69%)]      Loss: 0.312028
Train Epoch: 3 [42240/60000 (70%)]      Loss: 0.324855
Train Epoch: 3 [42880/60000 (71%)]      Loss: 0.249405
Train Epoch: 3 [43520/60000 (72%)]      Loss: 0.502258
Train Epoch: 3 [44160/60000 (74%)]      Loss: 0.366503
Train Epoch: 3 [44800/60000 (75%)]      Loss: 0.528435
Train Epoch: 3 [45440/60000 (76%)]      Loss: 0.303391
Train Epoch: 3 [46080/60000 (77%)]      Loss: 0.430091
Train Epoch: 3 [46720/60000 (78%)]      Loss: 0.324212
Train Epoch: 3 [47360/60000 (79%)]      Loss: 0.208218
Train Epoch: 3 [48000/60000 (80%)]      Loss: 0.202484
Train Epoch: 3 [48640/60000 (81%)]      Loss: 0.265652
Train Epoch: 3 [49280/60000 (82%)]      Loss: 0.332990
Train Epoch: 3 [49920/60000 (83%)]      Loss: 0.313652
Train Epoch: 3 [50560/60000 (84%)]      Loss: 0.163344
Train Epoch: 3 [51200/60000 (85%)]      Loss: 0.279697
Train Epoch: 3 [51840/60000 (86%)]      Loss: 0.179919
Train Epoch: 3 [52480/60000 (87%)]      Loss: 0.243778
Train Epoch: 3 [53120/60000 (88%)]      Loss: 0.424357
Train Epoch: 3 [53760/60000 (90%)]      Loss: 0.228107
Train Epoch: 3 [54400/60000 (91%)]      Loss: 0.150797
Train Epoch: 3 [55040/60000 (92%)]      Loss: 0.483180
Train Epoch: 3 [55680/60000 (93%)]      Loss: 0.432427
Train Epoch: 3 [56320/60000 (94%)]      Loss: 0.259378
Train Epoch: 3 [56960/60000 (95%)]      Loss: 0.229931
Train Epoch: 3 [57600/60000 (96%)]      Loss: 0.345217
Train Epoch: 3 [58240/60000 (97%)]      Loss: 0.145419
Train Epoch: 3 [58880/60000 (98%)]      Loss: 0.409762
Train Epoch: 3 [59520/60000 (99%)]      Loss: 0.179153

Test set: Average loss: 0.0991, Accuracy: 9700/10000 (97%)

Train Epoch: 4 [0/60000 (0%)]   Loss: 0.252262
Train Epoch: 4 [640/60000 (1%)] Loss: 0.214050
Train Epoch: 4 [1280/60000 (2%)]        Loss: 0.232640
Train Epoch: 4 [1920/60000 (3%)]        Loss: 0.313351
Train Epoch: 4 [2560/60000 (4%)]        Loss: 0.304259
Train Epoch: 4 [3200/60000 (5%)]        Loss: 0.328253
Train Epoch: 4 [3840/60000 (6%)]        Loss: 0.385658
Train Epoch: 4 [4480/60000 (7%)]        Loss: 0.230886
Train Epoch: 4 [5120/60000 (9%)]        Loss: 0.380731
Train Epoch: 4 [5760/60000 (10%)]       Loss: 0.188392
Train Epoch: 4 [6400/60000 (11%)]       Loss: 0.148122
Train Epoch: 4 [7040/60000 (12%)]       Loss: 0.417552
Train Epoch: 4 [7680/60000 (13%)]       Loss: 0.268061
Train Epoch: 4 [8320/60000 (14%)]       Loss: 0.338924
Train Epoch: 4 [8960/60000 (15%)]       Loss: 0.314833
Train Epoch: 4 [9600/60000 (16%)]       Loss: 0.232720
Train Epoch: 4 [10240/60000 (17%)]      Loss: 0.273053
Train Epoch: 4 [10880/60000 (18%)]      Loss: 0.278180
Train Epoch: 4 [11520/60000 (19%)]      Loss: 0.218090
Train Epoch: 4 [12160/60000 (20%)]      Loss: 0.360031
Train Epoch: 4 [12800/60000 (21%)]      Loss: 0.199483
Train Epoch: 4 [13440/60000 (22%)]      Loss: 0.210750
Train Epoch: 4 [14080/60000 (23%)]      Loss: 0.444671
Train Epoch: 4 [14720/60000 (25%)]      Loss: 0.528038
Train Epoch: 4 [15360/60000 (26%)]      Loss: 0.215310
Train Epoch: 4 [16000/60000 (27%)]      Loss: 0.143240
Train Epoch: 4 [16640/60000 (28%)]      Loss: 0.417087
Train Epoch: 4 [17280/60000 (29%)]      Loss: 0.439960
Train Epoch: 4 [17920/60000 (30%)]      Loss: 0.293862
Train Epoch: 4 [18560/60000 (31%)]      Loss: 0.224386
Train Epoch: 4 [19200/60000 (32%)]      Loss: 0.149810
Train Epoch: 4 [19840/60000 (33%)]      Loss: 0.189339
Train Epoch: 4 [20480/60000 (34%)]      Loss: 0.114775
Train Epoch: 4 [21120/60000 (35%)]      Loss: 0.279206
Train Epoch: 4 [21760/60000 (36%)]      Loss: 0.406428
Train Epoch: 4 [22400/60000 (37%)]      Loss: 0.297817
Train Epoch: 4 [23040/60000 (38%)]      Loss: 0.297316
Train Epoch: 4 [23680/60000 (39%)]      Loss: 0.281741
Train Epoch: 4 [24320/60000 (41%)]      Loss: 0.310621
Train Epoch: 4 [24960/60000 (42%)]      Loss: 0.389674
Train Epoch: 4 [25600/60000 (43%)]      Loss: 0.209330
Train Epoch: 4 [26240/60000 (44%)]      Loss: 0.353486
Train Epoch: 4 [26880/60000 (45%)]      Loss: 0.328822
Train Epoch: 4 [27520/60000 (46%)]      Loss: 0.298954
Train Epoch: 4 [28160/60000 (47%)]      Loss: 0.369148
Train Epoch: 4 [28800/60000 (48%)]      Loss: 0.293294
Train Epoch: 4 [29440/60000 (49%)]      Loss: 0.240793
Train Epoch: 4 [30080/60000 (50%)]      Loss: 0.198366
Train Epoch: 4 [30720/60000 (51%)]      Loss: 0.368568
Train Epoch: 4 [31360/60000 (52%)]      Loss: 0.310659
Train Epoch: 4 [32000/60000 (53%)]      Loss: 0.211035
Train Epoch: 4 [32640/60000 (54%)]      Loss: 0.410312
Train Epoch: 4 [33280/60000 (55%)]      Loss: 0.282432
Train Epoch: 4 [33920/60000 (57%)]      Loss: 0.142107
Train Epoch: 4 [34560/60000 (58%)]      Loss: 0.221314
Train Epoch: 4 [35200/60000 (59%)]      Loss: 0.299466
Train Epoch: 4 [35840/60000 (60%)]      Loss: 0.143767
Train Epoch: 4 [36480/60000 (61%)]      Loss: 0.326651
Train Epoch: 4 [37120/60000 (62%)]      Loss: 0.368696
Train Epoch: 4 [37760/60000 (63%)]      Loss: 0.268033
Train Epoch: 4 [38400/60000 (64%)]      Loss: 0.132042
Train Epoch: 4 [39040/60000 (65%)]      Loss: 0.218407
Train Epoch: 4 [39680/60000 (66%)]      Loss: 0.418046
Train Epoch: 4 [40320/60000 (67%)]      Loss: 0.098470
Train Epoch: 4 [40960/60000 (68%)]      Loss: 0.080263
Train Epoch: 4 [41600/60000 (69%)]      Loss: 0.222624
Train Epoch: 4 [42240/60000 (70%)]      Loss: 0.147482
Train Epoch: 4 [42880/60000 (71%)]      Loss: 0.218117
Train Epoch: 4 [43520/60000 (72%)]      Loss: 0.240919
Train Epoch: 4 [44160/60000 (74%)]      Loss: 0.301139
Train Epoch: 4 [44800/60000 (75%)]      Loss: 0.592762
Train Epoch: 4 [45440/60000 (76%)]      Loss: 0.325921
Train Epoch: 4 [46080/60000 (77%)]      Loss: 0.072187
Train Epoch: 4 [46720/60000 (78%)]      Loss: 0.190582
Train Epoch: 4 [47360/60000 (79%)]      Loss: 0.369841
Train Epoch: 4 [48000/60000 (80%)]      Loss: 0.235635
Train Epoch: 4 [48640/60000 (81%)]      Loss: 0.148319
Train Epoch: 4 [49280/60000 (82%)]      Loss: 0.485105
Train Epoch: 4 [49920/60000 (83%)]      Loss: 0.195662
Train Epoch: 4 [50560/60000 (84%)]      Loss: 0.180270
Train Epoch: 4 [51200/60000 (85%)]      Loss: 0.095032
Train Epoch: 4 [51840/60000 (86%)]      Loss: 0.163226
Train Epoch: 4 [52480/60000 (87%)]      Loss: 0.452867
Train Epoch: 4 [53120/60000 (88%)]      Loss: 0.175717
Train Epoch: 4 [53760/60000 (90%)]      Loss: 0.155470
Train Epoch: 4 [54400/60000 (91%)]      Loss: 0.091183
Train Epoch: 4 [55040/60000 (92%)]      Loss: 0.177085
Train Epoch: 4 [55680/60000 (93%)]      Loss: 0.364424
Train Epoch: 4 [56320/60000 (94%)]      Loss: 0.270666
Train Epoch: 4 [56960/60000 (95%)]      Loss: 0.201077
Train Epoch: 4 [57600/60000 (96%)]      Loss: 0.379794
Train Epoch: 4 [58240/60000 (97%)]      Loss: 0.416211
Train Epoch: 4 [58880/60000 (98%)]      Loss: 0.120778
Train Epoch: 4 [59520/60000 (99%)]      Loss: 0.233917

Test set: Average loss: 0.0871, Accuracy: 9724/10000 (97%)

Train Epoch: 5 [0/60000 (0%)]   Loss: 0.270952
Train Epoch: 5 [640/60000 (1%)] Loss: 0.226249
Train Epoch: 5 [1280/60000 (2%)]        Loss: 0.240724
Train Epoch: 5 [1920/60000 (3%)]        Loss: 0.207760
Train Epoch: 5 [2560/60000 (4%)]        Loss: 0.122158
Train Epoch: 5 [3200/60000 (5%)]        Loss: 0.164211
Train Epoch: 5 [3840/60000 (6%)]        Loss: 0.190886
Train Epoch: 5 [4480/60000 (7%)]        Loss: 0.224755
Train Epoch: 5 [5120/60000 (9%)]        Loss: 0.152546
Train Epoch: 5 [5760/60000 (10%)]       Loss: 0.335590
Train Epoch: 5 [6400/60000 (11%)]       Loss: 0.227404
Train Epoch: 5 [7040/60000 (12%)]       Loss: 0.205612
Train Epoch: 5 [7680/60000 (13%)]       Loss: 0.256253
Train Epoch: 5 [8320/60000 (14%)]       Loss: 0.218907
Train Epoch: 5 [8960/60000 (15%)]       Loss: 0.214594
Train Epoch: 5 [9600/60000 (16%)]       Loss: 0.179838
Train Epoch: 5 [10240/60000 (17%)]      Loss: 0.265803
Train Epoch: 5 [10880/60000 (18%)]      Loss: 0.136065
Train Epoch: 5 [11520/60000 (19%)]      Loss: 0.228787
Train Epoch: 5 [12160/60000 (20%)]      Loss: 0.415483
Train Epoch: 5 [12800/60000 (21%)]      Loss: 0.487957
Train Epoch: 5 [13440/60000 (22%)]      Loss: 0.257931
Train Epoch: 5 [14080/60000 (23%)]      Loss: 0.131282
Train Epoch: 5 [14720/60000 (25%)]      Loss: 0.192821
Train Epoch: 5 [15360/60000 (26%)]      Loss: 0.201899
Train Epoch: 5 [16000/60000 (27%)]      Loss: 0.159363
Train Epoch: 5 [16640/60000 (28%)]      Loss: 0.196501
Train Epoch: 5 [17280/60000 (29%)]      Loss: 0.283697
Train Epoch: 5 [17920/60000 (30%)]      Loss: 0.140834
Train Epoch: 5 [18560/60000 (31%)]      Loss: 0.227693
Train Epoch: 5 [19200/60000 (32%)]      Loss: 0.283767
Train Epoch: 5 [19840/60000 (33%)]      Loss: 0.277091
Train Epoch: 5 [20480/60000 (34%)]      Loss: 0.257150
Train Epoch: 5 [21120/60000 (35%)]      Loss: 0.158796
Train Epoch: 5 [21760/60000 (36%)]      Loss: 0.179995
Train Epoch: 5 [22400/60000 (37%)]      Loss: 0.143291
Train Epoch: 5 [23040/60000 (38%)]      Loss: 0.208314
Train Epoch: 5 [23680/60000 (39%)]      Loss: 0.280608
Train Epoch: 5 [24320/60000 (41%)]      Loss: 0.414196
Train Epoch: 5 [24960/60000 (42%)]      Loss: 0.181743
Train Epoch: 5 [25600/60000 (43%)]      Loss: 0.129358
Train Epoch: 5 [26240/60000 (44%)]      Loss: 0.154231
Train Epoch: 5 [26880/60000 (45%)]      Loss: 0.232474
Train Epoch: 5 [27520/60000 (46%)]      Loss: 0.206546
Train Epoch: 5 [28160/60000 (47%)]      Loss: 0.167407
Train Epoch: 5 [28800/60000 (48%)]      Loss: 0.229894
Train Epoch: 5 [29440/60000 (49%)]      Loss: 0.264678
Train Epoch: 5 [30080/60000 (50%)]      Loss: 0.125590
Train Epoch: 5 [30720/60000 (51%)]      Loss: 0.285850
Train Epoch: 5 [31360/60000 (52%)]      Loss: 0.188380
Train Epoch: 5 [32000/60000 (53%)]      Loss: 0.183216
Train Epoch: 5 [32640/60000 (54%)]      Loss: 0.122041
Train Epoch: 5 [33280/60000 (55%)]      Loss: 0.253707
Train Epoch: 5 [33920/60000 (57%)]      Loss: 0.284081
Train Epoch: 5 [34560/60000 (58%)]      Loss: 0.310316
Train Epoch: 5 [35200/60000 (59%)]      Loss: 0.225226
Train Epoch: 5 [35840/60000 (60%)]      Loss: 0.154729
Train Epoch: 5 [36480/60000 (61%)]      Loss: 0.324987
Train Epoch: 5 [37120/60000 (62%)]      Loss: 0.171244
Train Epoch: 5 [37760/60000 (63%)]      Loss: 0.082997
Train Epoch: 5 [38400/60000 (64%)]      Loss: 0.248921
Train Epoch: 5 [39040/60000 (65%)]      Loss: 0.239261
Train Epoch: 5 [39680/60000 (66%)]      Loss: 0.114172
Train Epoch: 5 [40320/60000 (67%)]      Loss: 0.153353
Train Epoch: 5 [40960/60000 (68%)]      Loss: 0.037975
Train Epoch: 5 [41600/60000 (69%)]      Loss: 0.096503
Train Epoch: 5 [42240/60000 (70%)]      Loss: 0.411866
Train Epoch: 5 [42880/60000 (71%)]      Loss: 0.249773
Train Epoch: 5 [43520/60000 (72%)]      Loss: 0.436101
Train Epoch: 5 [44160/60000 (74%)]      Loss: 0.137943
Train Epoch: 5 [44800/60000 (75%)]      Loss: 0.422586
Train Epoch: 5 [45440/60000 (76%)]      Loss: 0.205630
Train Epoch: 5 [46080/60000 (77%)]      Loss: 0.224764
Train Epoch: 5 [46720/60000 (78%)]      Loss: 0.155822
Train Epoch: 5 [47360/60000 (79%)]      Loss: 0.175589
Train Epoch: 5 [48000/60000 (80%)]      Loss: 0.161214
Train Epoch: 5 [48640/60000 (81%)]      Loss: 0.205468
Train Epoch: 5 [49280/60000 (82%)]      Loss: 0.200425
Train Epoch: 5 [49920/60000 (83%)]      Loss: 0.160863
Train Epoch: 5 [50560/60000 (84%)]      Loss: 0.300881
Train Epoch: 5 [51200/60000 (85%)]      Loss: 0.179301
Train Epoch: 5 [51840/60000 (86%)]      Loss: 0.271112
Train Epoch: 5 [52480/60000 (87%)]      Loss: 0.323761
Train Epoch: 5 [53120/60000 (88%)]      Loss: 0.401582
Train Epoch: 5 [53760/60000 (90%)]      Loss: 0.104297
Train Epoch: 5 [54400/60000 (91%)]      Loss: 0.303361
Train Epoch: 5 [55040/60000 (92%)]      Loss: 0.070539
Train Epoch: 5 [55680/60000 (93%)]      Loss: 0.188697
Train Epoch: 5 [56320/60000 (94%)]      Loss: 0.114718
Train Epoch: 5 [56960/60000 (95%)]      Loss: 0.179262
Train Epoch: 5 [57600/60000 (96%)]      Loss: 0.108406
Train Epoch: 5 [58240/60000 (97%)]      Loss: 0.074651
Train Epoch: 5 [58880/60000 (98%)]      Loss: 0.226906
Train Epoch: 5 [59520/60000 (99%)]      Loss: 0.235972

Test set: Average loss: 0.0789, Accuracy: 9747/10000 (97%)

Train Epoch: 6 [0/60000 (0%)]   Loss: 0.181632
Train Epoch: 6 [640/60000 (1%)] Loss: 0.160604
Train Epoch: 6 [1280/60000 (2%)]        Loss: 0.185423
Train Epoch: 6 [1920/60000 (3%)]        Loss: 0.263098
Train Epoch: 6 [2560/60000 (4%)]        Loss: 0.201126
Train Epoch: 6 [3200/60000 (5%)]        Loss: 0.206011
Train Epoch: 6 [3840/60000 (6%)]        Loss: 0.208402
Train Epoch: 6 [4480/60000 (7%)]        Loss: 0.405055
Train Epoch: 6 [5120/60000 (9%)]        Loss: 0.382397
Train Epoch: 6 [5760/60000 (10%)]       Loss: 0.090882
Train Epoch: 6 [6400/60000 (11%)]       Loss: 0.168160
Train Epoch: 6 [7040/60000 (12%)]       Loss: 0.396490
Train Epoch: 6 [7680/60000 (13%)]       Loss: 0.135441
Train Epoch: 6 [8320/60000 (14%)]       Loss: 0.109636
Train Epoch: 6 [8960/60000 (15%)]       Loss: 0.136153
Train Epoch: 6 [9600/60000 (16%)]       Loss: 0.212702
Train Epoch: 6 [10240/60000 (17%)]      Loss: 0.218002
Train Epoch: 6 [10880/60000 (18%)]      Loss: 0.295113
Train Epoch: 6 [11520/60000 (19%)]      Loss: 0.628193
Train Epoch: 6 [12160/60000 (20%)]      Loss: 0.484067
Train Epoch: 6 [12800/60000 (21%)]      Loss: 0.358301
Train Epoch: 6 [13440/60000 (22%)]      Loss: 0.153516
Train Epoch: 6 [14080/60000 (23%)]      Loss: 0.161634
Train Epoch: 6 [14720/60000 (25%)]      Loss: 0.321130
Train Epoch: 6 [15360/60000 (26%)]      Loss: 0.375988
Train Epoch: 6 [16000/60000 (27%)]      Loss: 0.271158
Train Epoch: 6 [16640/60000 (28%)]      Loss: 0.194915
Train Epoch: 6 [17280/60000 (29%)]      Loss: 0.102146
Train Epoch: 6 [17920/60000 (30%)]      Loss: 0.173296
Train Epoch: 6 [18560/60000 (31%)]      Loss: 0.299288
Train Epoch: 6 [19200/60000 (32%)]      Loss: 0.272537
Train Epoch: 6 [19840/60000 (33%)]      Loss: 0.337267
Train Epoch: 6 [20480/60000 (34%)]      Loss: 0.255899
Train Epoch: 6 [21120/60000 (35%)]      Loss: 0.318019
Train Epoch: 6 [21760/60000 (36%)]      Loss: 0.163698
Train Epoch: 6 [22400/60000 (37%)]      Loss: 0.150291
Train Epoch: 6 [23040/60000 (38%)]      Loss: 0.499969
Train Epoch: 6 [23680/60000 (39%)]      Loss: 0.160620
Train Epoch: 6 [24320/60000 (41%)]      Loss: 0.255248
Train Epoch: 6 [24960/60000 (42%)]      Loss: 0.164471
Train Epoch: 6 [25600/60000 (43%)]      Loss: 0.270755
Train Epoch: 6 [26240/60000 (44%)]      Loss: 0.168173
Train Epoch: 6 [26880/60000 (45%)]      Loss: 0.177413
Train Epoch: 6 [27520/60000 (46%)]      Loss: 0.176688
Train Epoch: 6 [28160/60000 (47%)]      Loss: 0.431970
Train Epoch: 6 [28800/60000 (48%)]      Loss: 0.677146
Train Epoch: 6 [29440/60000 (49%)]      Loss: 0.147128
Train Epoch: 6 [30080/60000 (50%)]      Loss: 0.398287
Train Epoch: 6 [30720/60000 (51%)]      Loss: 0.145269
Train Epoch: 6 [31360/60000 (52%)]      Loss: 0.302309
Train Epoch: 6 [32000/60000 (53%)]      Loss: 0.299670
Train Epoch: 6 [32640/60000 (54%)]      Loss: 0.147557
Train Epoch: 6 [33280/60000 (55%)]      Loss: 0.274089
Train Epoch: 6 [33920/60000 (57%)]      Loss: 0.117898
Train Epoch: 6 [34560/60000 (58%)]      Loss: 0.158430
Train Epoch: 6 [35200/60000 (59%)]      Loss: 0.224716
Train Epoch: 6 [35840/60000 (60%)]      Loss: 0.308215
Train Epoch: 6 [36480/60000 (61%)]      Loss: 0.232817
Train Epoch: 6 [37120/60000 (62%)]      Loss: 0.091578
Train Epoch: 6 [37760/60000 (63%)]      Loss: 0.279878
Train Epoch: 6 [38400/60000 (64%)]      Loss: 0.172462
Train Epoch: 6 [39040/60000 (65%)]      Loss: 0.089903
Train Epoch: 6 [39680/60000 (66%)]      Loss: 0.165867
Train Epoch: 6 [40320/60000 (67%)]      Loss: 0.186019
Train Epoch: 6 [40960/60000 (68%)]      Loss: 0.165365
Train Epoch: 6 [41600/60000 (69%)]      Loss: 0.117258
Train Epoch: 6 [42240/60000 (70%)]      Loss: 0.311247
Train Epoch: 6 [42880/60000 (71%)]      Loss: 0.158298
Train Epoch: 6 [43520/60000 (72%)]      Loss: 0.112935
Train Epoch: 6 [44160/60000 (74%)]      Loss: 0.201088
Train Epoch: 6 [44800/60000 (75%)]      Loss: 0.212218
Train Epoch: 6 [45440/60000 (76%)]      Loss: 0.152253
Train Epoch: 6 [46080/60000 (77%)]      Loss: 0.194468
Train Epoch: 6 [46720/60000 (78%)]      Loss: 0.152272
Train Epoch: 6 [47360/60000 (79%)]      Loss: 0.118285
Train Epoch: 6 [48000/60000 (80%)]      Loss: 0.523902
Train Epoch: 6 [48640/60000 (81%)]      Loss: 0.335025
Train Epoch: 6 [49280/60000 (82%)]      Loss: 0.079636
Train Epoch: 6 [49920/60000 (83%)]      Loss: 0.313797
Train Epoch: 6 [50560/60000 (84%)]      Loss: 0.121752
Train Epoch: 6 [51200/60000 (85%)]      Loss: 0.177170
Train Epoch: 6 [51840/60000 (86%)]      Loss: 0.278574
Train Epoch: 6 [52480/60000 (87%)]      Loss: 0.142266
Train Epoch: 6 [53120/60000 (88%)]      Loss: 0.227001
Train Epoch: 6 [53760/60000 (90%)]      Loss: 0.194171
Train Epoch: 6 [54400/60000 (91%)]      Loss: 0.151471
Train Epoch: 6 [55040/60000 (92%)]      Loss: 0.120554
Train Epoch: 6 [55680/60000 (93%)]      Loss: 0.198882
Train Epoch: 6 [56320/60000 (94%)]      Loss: 0.522000
Train Epoch: 6 [56960/60000 (95%)]      Loss: 0.170369
Train Epoch: 6 [57600/60000 (96%)]      Loss: 0.135898
Train Epoch: 6 [58240/60000 (97%)]      Loss: 0.218771
Train Epoch: 6 [58880/60000 (98%)]      Loss: 0.171997
Train Epoch: 6 [59520/60000 (99%)]      Loss: 0.119971

Test set: Average loss: 0.0691, Accuracy: 9775/10000 (98%)

Train Epoch: 7 [0/60000 (0%)]   Loss: 0.237377
Train Epoch: 7 [640/60000 (1%)] Loss: 0.077471
Train Epoch: 7 [1280/60000 (2%)]        Loss: 0.151081
Train Epoch: 7 [1920/60000 (3%)]        Loss: 0.262723
Train Epoch: 7 [2560/60000 (4%)]        Loss: 0.259767
Train Epoch: 7 [3200/60000 (5%)]        Loss: 0.139766
Train Epoch: 7 [3840/60000 (6%)]        Loss: 0.165902
Train Epoch: 7 [4480/60000 (7%)]        Loss: 0.132822
Train Epoch: 7 [5120/60000 (9%)]        Loss: 0.180032
Train Epoch: 7 [5760/60000 (10%)]       Loss: 0.255568
Train Epoch: 7 [6400/60000 (11%)]       Loss: 0.264851
Train Epoch: 7 [7040/60000 (12%)]       Loss: 0.206064
Train Epoch: 7 [7680/60000 (13%)]       Loss: 0.251353
Train Epoch: 7 [8320/60000 (14%)]       Loss: 0.326894
Train Epoch: 7 [8960/60000 (15%)]       Loss: 0.265022
Train Epoch: 7 [9600/60000 (16%)]       Loss: 0.155684
Train Epoch: 7 [10240/60000 (17%)]      Loss: 0.556863
Train Epoch: 7 [10880/60000 (18%)]      Loss: 0.238553
Train Epoch: 7 [11520/60000 (19%)]      Loss: 0.192871
Train Epoch: 7 [12160/60000 (20%)]      Loss: 0.167516
Train Epoch: 7 [12800/60000 (21%)]      Loss: 0.129180
Train Epoch: 7 [13440/60000 (22%)]      Loss: 0.117749
Train Epoch: 7 [14080/60000 (23%)]      Loss: 0.216473
Train Epoch: 7 [14720/60000 (25%)]      Loss: 0.218867
Train Epoch: 7 [15360/60000 (26%)]      Loss: 0.129289
Train Epoch: 7 [16000/60000 (27%)]      Loss: 0.266806
Train Epoch: 7 [16640/60000 (28%)]      Loss: 0.131009
Train Epoch: 7 [17280/60000 (29%)]      Loss: 0.147494
Train Epoch: 7 [17920/60000 (30%)]      Loss: 0.425942
Train Epoch: 7 [18560/60000 (31%)]      Loss: 0.208507
Train Epoch: 7 [19200/60000 (32%)]      Loss: 0.252311
Train Epoch: 7 [19840/60000 (33%)]      Loss: 0.372984
Train Epoch: 7 [20480/60000 (34%)]      Loss: 0.333971
Train Epoch: 7 [21120/60000 (35%)]      Loss: 0.298945
Train Epoch: 7 [21760/60000 (36%)]      Loss: 0.335836
Train Epoch: 7 [22400/60000 (37%)]      Loss: 0.155858
Train Epoch: 7 [23040/60000 (38%)]      Loss: 0.379406
Train Epoch: 7 [23680/60000 (39%)]      Loss: 0.279920
Train Epoch: 7 [24320/60000 (41%)]      Loss: 0.392063
Train Epoch: 7 [24960/60000 (42%)]      Loss: 0.148236
Train Epoch: 7 [25600/60000 (43%)]      Loss: 0.203020
Train Epoch: 7 [26240/60000 (44%)]      Loss: 0.207549
Train Epoch: 7 [26880/60000 (45%)]      Loss: 0.103463
Train Epoch: 7 [27520/60000 (46%)]      Loss: 0.216418
Train Epoch: 7 [28160/60000 (47%)]      Loss: 0.095201
Train Epoch: 7 [28800/60000 (48%)]      Loss: 0.194158
Train Epoch: 7 [29440/60000 (49%)]      Loss: 0.197222
Train Epoch: 7 [30080/60000 (50%)]      Loss: 0.258702
Train Epoch: 7 [30720/60000 (51%)]      Loss: 0.242350
Train Epoch: 7 [31360/60000 (52%)]      Loss: 0.119556
Train Epoch: 7 [32000/60000 (53%)]      Loss: 0.161744
Train Epoch: 7 [32640/60000 (54%)]      Loss: 0.357193
Train Epoch: 7 [33280/60000 (55%)]      Loss: 0.142245
Train Epoch: 7 [33920/60000 (57%)]      Loss: 0.167174
Train Epoch: 7 [34560/60000 (58%)]      Loss: 0.313925
Train Epoch: 7 [35200/60000 (59%)]      Loss: 0.142175
Train Epoch: 7 [35840/60000 (60%)]      Loss: 0.233484
Train Epoch: 7 [36480/60000 (61%)]      Loss: 0.299269
Train Epoch: 7 [37120/60000 (62%)]      Loss: 0.181779
Train Epoch: 7 [37760/60000 (63%)]      Loss: 0.156199
Train Epoch: 7 [38400/60000 (64%)]      Loss: 0.242380
Train Epoch: 7 [39040/60000 (65%)]      Loss: 0.209830
Train Epoch: 7 [39680/60000 (66%)]      Loss: 0.122936
Train Epoch: 7 [40320/60000 (67%)]      Loss: 0.169450
Train Epoch: 7 [40960/60000 (68%)]      Loss: 0.158967
Train Epoch: 7 [41600/60000 (69%)]      Loss: 0.121110
Train Epoch: 7 [42240/60000 (70%)]      Loss: 0.239999
Train Epoch: 7 [42880/60000 (71%)]      Loss: 0.334465
Train Epoch: 7 [43520/60000 (72%)]      Loss: 0.305609
Train Epoch: 7 [44160/60000 (74%)]      Loss: 0.137700
Train Epoch: 7 [44800/60000 (75%)]      Loss: 0.332805
Train Epoch: 7 [45440/60000 (76%)]      Loss: 0.163041
Train Epoch: 7 [46080/60000 (77%)]      Loss: 0.271485
Train Epoch: 7 [46720/60000 (78%)]      Loss: 0.082248
Train Epoch: 7 [47360/60000 (79%)]      Loss: 0.158461
Train Epoch: 7 [48000/60000 (80%)]      Loss: 0.143292
Train Epoch: 7 [48640/60000 (81%)]      Loss: 0.153584
Train Epoch: 7 [49280/60000 (82%)]      Loss: 0.160186
Train Epoch: 7 [49920/60000 (83%)]      Loss: 0.220918
Train Epoch: 7 [50560/60000 (84%)]      Loss: 0.117254
Train Epoch: 7 [51200/60000 (85%)]      Loss: 0.161451
Train Epoch: 7 [51840/60000 (86%)]      Loss: 0.285277
Train Epoch: 7 [52480/60000 (87%)]      Loss: 0.364876
Train Epoch: 7 [53120/60000 (88%)]      Loss: 0.339804
Train Epoch: 7 [53760/60000 (90%)]      Loss: 0.109588
Train Epoch: 7 [54400/60000 (91%)]      Loss: 0.365466
Train Epoch: 7 [55040/60000 (92%)]      Loss: 0.137585
Train Epoch: 7 [55680/60000 (93%)]      Loss: 0.216101
Train Epoch: 7 [56320/60000 (94%)]      Loss: 0.180959
Train Epoch: 7 [56960/60000 (95%)]      Loss: 0.229266
Train Epoch: 7 [57600/60000 (96%)]      Loss: 0.436044
Train Epoch: 7 [58240/60000 (97%)]      Loss: 0.178878
Train Epoch: 7 [58880/60000 (98%)]      Loss: 0.109663
Train Epoch: 7 [59520/60000 (99%)]      Loss: 0.291014

Test set: Average loss: 0.0677, Accuracy: 9762/10000 (98%)

Train Epoch: 8 [0/60000 (0%)]   Loss: 0.390068
Train Epoch: 8 [640/60000 (1%)] Loss: 0.144657
Train Epoch: 8 [1280/60000 (2%)]        Loss: 0.181554
Train Epoch: 8 [1920/60000 (3%)]        Loss: 0.271896
Train Epoch: 8 [2560/60000 (4%)]        Loss: 0.181919
Train Epoch: 8 [3200/60000 (5%)]        Loss: 0.334250
Train Epoch: 8 [3840/60000 (6%)]        Loss: 0.325420
Train Epoch: 8 [4480/60000 (7%)]        Loss: 0.199978
Train Epoch: 8 [5120/60000 (9%)]        Loss: 0.258846
Train Epoch: 8 [5760/60000 (10%)]       Loss: 0.356088
Train Epoch: 8 [6400/60000 (11%)]       Loss: 0.094790
Train Epoch: 8 [7040/60000 (12%)]       Loss: 0.166481
Train Epoch: 8 [7680/60000 (13%)]       Loss: 0.241148
Train Epoch: 8 [8320/60000 (14%)]       Loss: 0.225277
Train Epoch: 8 [8960/60000 (15%)]       Loss: 0.097263
Train Epoch: 8 [9600/60000 (16%)]       Loss: 0.149118
Train Epoch: 8 [10240/60000 (17%)]      Loss: 0.161958
Train Epoch: 8 [10880/60000 (18%)]      Loss: 0.103319
Train Epoch: 8 [11520/60000 (19%)]      Loss: 0.193599
Train Epoch: 8 [12160/60000 (20%)]      Loss: 0.224828
Train Epoch: 8 [12800/60000 (21%)]      Loss: 0.383304
Train Epoch: 8 [13440/60000 (22%)]      Loss: 0.125333
Train Epoch: 8 [14080/60000 (23%)]      Loss: 0.213182
Train Epoch: 8 [14720/60000 (25%)]      Loss: 0.149220
Train Epoch: 8 [15360/60000 (26%)]      Loss: 0.203372
Train Epoch: 8 [16000/60000 (27%)]      Loss: 0.192093
Train Epoch: 8 [16640/60000 (28%)]      Loss: 0.080484
Train Epoch: 8 [17280/60000 (29%)]      Loss: 0.102782
Train Epoch: 8 [17920/60000 (30%)]      Loss: 0.177339
Train Epoch: 8 [18560/60000 (31%)]      Loss: 0.257917
Train Epoch: 8 [19200/60000 (32%)]      Loss: 0.153243
Train Epoch: 8 [19840/60000 (33%)]      Loss: 0.189552
Train Epoch: 8 [20480/60000 (34%)]      Loss: 0.175887
Train Epoch: 8 [21120/60000 (35%)]      Loss: 0.204819
Train Epoch: 8 [21760/60000 (36%)]      Loss: 0.137012
Train Epoch: 8 [22400/60000 (37%)]      Loss: 0.137673
Train Epoch: 8 [23040/60000 (38%)]      Loss: 0.351987
Train Epoch: 8 [23680/60000 (39%)]      Loss: 0.126917
Train Epoch: 8 [24320/60000 (41%)]      Loss: 0.148442
Train Epoch: 8 [24960/60000 (42%)]      Loss: 0.390437
Train Epoch: 8 [25600/60000 (43%)]      Loss: 0.200690
Train Epoch: 8 [26240/60000 (44%)]      Loss: 0.136122
Train Epoch: 8 [26880/60000 (45%)]      Loss: 0.116297
Train Epoch: 8 [27520/60000 (46%)]      Loss: 0.178878
Train Epoch: 8 [28160/60000 (47%)]      Loss: 0.320154
Train Epoch: 8 [28800/60000 (48%)]      Loss: 0.331474
Train Epoch: 8 [29440/60000 (49%)]      Loss: 0.200792
Train Epoch: 8 [30080/60000 (50%)]      Loss: 0.249878
Train Epoch: 8 [30720/60000 (51%)]      Loss: 0.126699
Train Epoch: 8 [31360/60000 (52%)]      Loss: 0.278498
Train Epoch: 8 [32000/60000 (53%)]      Loss: 0.174087
Train Epoch: 8 [32640/60000 (54%)]      Loss: 0.113993
Train Epoch: 8 [33280/60000 (55%)]      Loss: 0.059148
Train Epoch: 8 [33920/60000 (57%)]      Loss: 0.257997
Train Epoch: 8 [34560/60000 (58%)]      Loss: 0.295403
Train Epoch: 8 [35200/60000 (59%)]      Loss: 0.111059
Train Epoch: 8 [35840/60000 (60%)]      Loss: 0.259990
Train Epoch: 8 [36480/60000 (61%)]      Loss: 0.382995
Train Epoch: 8 [37120/60000 (62%)]      Loss: 0.161215
Train Epoch: 8 [37760/60000 (63%)]      Loss: 0.214714
Train Epoch: 8 [38400/60000 (64%)]      Loss: 0.206599
Train Epoch: 8 [39040/60000 (65%)]      Loss: 0.101166
Train Epoch: 8 [39680/60000 (66%)]      Loss: 0.097162
Train Epoch: 8 [40320/60000 (67%)]      Loss: 0.188404
Train Epoch: 8 [40960/60000 (68%)]      Loss: 0.154201
Train Epoch: 8 [41600/60000 (69%)]      Loss: 0.182417
Train Epoch: 8 [42240/60000 (70%)]      Loss: 0.264462
Train Epoch: 8 [42880/60000 (71%)]      Loss: 0.276089
Train Epoch: 8 [43520/60000 (72%)]      Loss: 0.278481
Train Epoch: 8 [44160/60000 (74%)]      Loss: 0.186357
Train Epoch: 8 [44800/60000 (75%)]      Loss: 0.134260
Train Epoch: 8 [45440/60000 (76%)]      Loss: 0.227456
Train Epoch: 8 [46080/60000 (77%)]      Loss: 0.231409
Train Epoch: 8 [46720/60000 (78%)]      Loss: 0.094052
Train Epoch: 8 [47360/60000 (79%)]      Loss: 0.047131
Train Epoch: 8 [48000/60000 (80%)]      Loss: 0.138348
Train Epoch: 8 [48640/60000 (81%)]      Loss: 0.240258
Train Epoch: 8 [49280/60000 (82%)]      Loss: 0.088663
Train Epoch: 8 [49920/60000 (83%)]      Loss: 0.253395
Train Epoch: 8 [50560/60000 (84%)]      Loss: 0.117215
Train Epoch: 8 [51200/60000 (85%)]      Loss: 0.151432
Train Epoch: 8 [51840/60000 (86%)]      Loss: 0.169584
Train Epoch: 8 [52480/60000 (87%)]      Loss: 0.177082
Train Epoch: 8 [53120/60000 (88%)]      Loss: 0.129230
Train Epoch: 8 [53760/60000 (90%)]      Loss: 0.281290
Train Epoch: 8 [54400/60000 (91%)]      Loss: 0.151417
Train Epoch: 8 [55040/60000 (92%)]      Loss: 0.205312
Train Epoch: 8 [55680/60000 (93%)]      Loss: 0.298857
Train Epoch: 8 [56320/60000 (94%)]      Loss: 0.204198
Train Epoch: 8 [56960/60000 (95%)]      Loss: 0.240176
Train Epoch: 8 [57600/60000 (96%)]      Loss: 0.138384
Train Epoch: 8 [58240/60000 (97%)]      Loss: 0.140310
Train Epoch: 8 [58880/60000 (98%)]      Loss: 0.251498
Train Epoch: 8 [59520/60000 (99%)]      Loss: 0.366919

Test set: Average loss: 0.0631, Accuracy: 9784/10000 (98%)

Train Epoch: 9 [0/60000 (0%)]   Loss: 0.158490
Train Epoch: 9 [640/60000 (1%)] Loss: 0.201699
Train Epoch: 9 [1280/60000 (2%)]        Loss: 0.176846
Train Epoch: 9 [1920/60000 (3%)]        Loss: 0.087959
Train Epoch: 9 [2560/60000 (4%)]        Loss: 0.247942
Train Epoch: 9 [3200/60000 (5%)]        Loss: 0.262424
Train Epoch: 9 [3840/60000 (6%)]        Loss: 0.211983
Train Epoch: 9 [4480/60000 (7%)]        Loss: 0.158174
Train Epoch: 9 [5120/60000 (9%)]        Loss: 0.088811
Train Epoch: 9 [5760/60000 (10%)]       Loss: 0.140000
Train Epoch: 9 [6400/60000 (11%)]       Loss: 0.120845
Train Epoch: 9 [7040/60000 (12%)]       Loss: 0.191536
Train Epoch: 9 [7680/60000 (13%)]       Loss: 0.212890
Train Epoch: 9 [8320/60000 (14%)]       Loss: 0.261250
Train Epoch: 9 [8960/60000 (15%)]       Loss: 0.153889
Train Epoch: 9 [9600/60000 (16%)]       Loss: 0.077390
Train Epoch: 9 [10240/60000 (17%)]      Loss: 0.268766
Train Epoch: 9 [10880/60000 (18%)]      Loss: 0.178864
Train Epoch: 9 [11520/60000 (19%)]      Loss: 0.364497
Train Epoch: 9 [12160/60000 (20%)]      Loss: 0.258133
Train Epoch: 9 [12800/60000 (21%)]      Loss: 0.228825
Train Epoch: 9 [13440/60000 (22%)]      Loss: 0.378247
Train Epoch: 9 [14080/60000 (23%)]      Loss: 0.165055
Train Epoch: 9 [14720/60000 (25%)]      Loss: 0.180835
Train Epoch: 9 [15360/60000 (26%)]      Loss: 0.084259
Train Epoch: 9 [16000/60000 (27%)]      Loss: 0.068264
Train Epoch: 9 [16640/60000 (28%)]      Loss: 0.113164
Train Epoch: 9 [17280/60000 (29%)]      Loss: 0.223586
Train Epoch: 9 [17920/60000 (30%)]      Loss: 0.215233
Train Epoch: 9 [18560/60000 (31%)]      Loss: 0.204614
Train Epoch: 9 [19200/60000 (32%)]      Loss: 0.358862
Train Epoch: 9 [19840/60000 (33%)]      Loss: 0.256516
Train Epoch: 9 [20480/60000 (34%)]      Loss: 0.129230
Train Epoch: 9 [21120/60000 (35%)]      Loss: 0.196456
Train Epoch: 9 [21760/60000 (36%)]      Loss: 0.201369
Train Epoch: 9 [22400/60000 (37%)]      Loss: 0.221754
Train Epoch: 9 [23040/60000 (38%)]      Loss: 0.099915
Train Epoch: 9 [23680/60000 (39%)]      Loss: 0.097384
Train Epoch: 9 [24320/60000 (41%)]      Loss: 0.336612
Train Epoch: 9 [24960/60000 (42%)]      Loss: 0.257720
Train Epoch: 9 [25600/60000 (43%)]      Loss: 0.076305
Train Epoch: 9 [26240/60000 (44%)]      Loss: 0.131677
Train Epoch: 9 [26880/60000 (45%)]      Loss: 0.249993
Train Epoch: 9 [27520/60000 (46%)]      Loss: 0.243213
Train Epoch: 9 [28160/60000 (47%)]      Loss: 0.109750
Train Epoch: 9 [28800/60000 (48%)]      Loss: 0.226079
Train Epoch: 9 [29440/60000 (49%)]      Loss: 0.255420
Train Epoch: 9 [30080/60000 (50%)]      Loss: 0.253808
Train Epoch: 9 [30720/60000 (51%)]      Loss: 0.062048
Train Epoch: 9 [31360/60000 (52%)]      Loss: 0.115639
Train Epoch: 9 [32000/60000 (53%)]      Loss: 0.049275
Train Epoch: 9 [32640/60000 (54%)]      Loss: 0.215507
Train Epoch: 9 [33280/60000 (55%)]      Loss: 0.285757
Train Epoch: 9 [33920/60000 (57%)]      Loss: 0.399013
Train Epoch: 9 [34560/60000 (58%)]      Loss: 0.441361
Train Epoch: 9 [35200/60000 (59%)]      Loss: 0.189993
Train Epoch: 9 [35840/60000 (60%)]      Loss: 0.111721
Train Epoch: 9 [36480/60000 (61%)]      Loss: 0.201420
Train Epoch: 9 [37120/60000 (62%)]      Loss: 0.261405
Train Epoch: 9 [37760/60000 (63%)]      Loss: 0.194188
Train Epoch: 9 [38400/60000 (64%)]      Loss: 0.258171
Train Epoch: 9 [39040/60000 (65%)]      Loss: 0.080421
Train Epoch: 9 [39680/60000 (66%)]      Loss: 0.257218
Train Epoch: 9 [40320/60000 (67%)]      Loss: 0.199319
Train Epoch: 9 [40960/60000 (68%)]      Loss: 0.223710
Train Epoch: 9 [41600/60000 (69%)]      Loss: 0.205505
Train Epoch: 9 [42240/60000 (70%)]      Loss: 0.203527
Train Epoch: 9 [42880/60000 (71%)]      Loss: 0.217051
Train Epoch: 9 [43520/60000 (72%)]      Loss: 0.158020
Train Epoch: 9 [44160/60000 (74%)]      Loss: 0.073973
Train Epoch: 9 [44800/60000 (75%)]      Loss: 0.370004
Train Epoch: 9 [45440/60000 (76%)]      Loss: 0.084308
Train Epoch: 9 [46080/60000 (77%)]      Loss: 0.246071
Train Epoch: 9 [46720/60000 (78%)]      Loss: 0.138770
Train Epoch: 9 [47360/60000 (79%)]      Loss: 0.291542
Train Epoch: 9 [48000/60000 (80%)]      Loss: 0.074897
Train Epoch: 9 [48640/60000 (81%)]      Loss: 0.217113
Train Epoch: 9 [49280/60000 (82%)]      Loss: 0.061120
Train Epoch: 9 [49920/60000 (83%)]      Loss: 0.186034
Train Epoch: 9 [50560/60000 (84%)]      Loss: 0.312446
Train Epoch: 9 [51200/60000 (85%)]      Loss: 0.248612
Train Epoch: 9 [51840/60000 (86%)]      Loss: 0.103711
Train Epoch: 9 [52480/60000 (87%)]      Loss: 0.153764
Train Epoch: 9 [53120/60000 (88%)]      Loss: 0.094810
Train Epoch: 9 [53760/60000 (90%)]      Loss: 0.299012
Train Epoch: 9 [54400/60000 (91%)]      Loss: 0.195832
Train Epoch: 9 [55040/60000 (92%)]      Loss: 0.328328
Train Epoch: 9 [55680/60000 (93%)]      Loss: 0.286169
Train Epoch: 9 [56320/60000 (94%)]      Loss: 0.185472
Train Epoch: 9 [56960/60000 (95%)]      Loss: 0.125227
Train Epoch: 9 [57600/60000 (96%)]      Loss: 0.241213
Train Epoch: 9 [58240/60000 (97%)]      Loss: 0.056454
Train Epoch: 9 [58880/60000 (98%)]      Loss: 0.099403
Train Epoch: 9 [59520/60000 (99%)]      Loss: 0.187660

Test set: Average loss: 0.0563, Accuracy: 9810/10000 (98%)

Train Epoch: 10 [0/60000 (0%)]  Loss: 0.068372
Train Epoch: 10 [640/60000 (1%)]        Loss: 0.153861
Train Epoch: 10 [1280/60000 (2%)]       Loss: 0.095824
Train Epoch: 10 [1920/60000 (3%)]       Loss: 0.335108
Train Epoch: 10 [2560/60000 (4%)]       Loss: 0.153303
Train Epoch: 10 [3200/60000 (5%)]       Loss: 0.109775
Train Epoch: 10 [3840/60000 (6%)]       Loss: 0.110584
Train Epoch: 10 [4480/60000 (7%)]       Loss: 0.249382
Train Epoch: 10 [5120/60000 (9%)]       Loss: 0.707576
Train Epoch: 10 [5760/60000 (10%)]      Loss: 0.159183
Train Epoch: 10 [6400/60000 (11%)]      Loss: 0.278112
Train Epoch: 10 [7040/60000 (12%)]      Loss: 0.288264
Train Epoch: 10 [7680/60000 (13%)]      Loss: 0.088989
Train Epoch: 10 [8320/60000 (14%)]      Loss: 0.159799
Train Epoch: 10 [8960/60000 (15%)]      Loss: 0.183270
Train Epoch: 10 [9600/60000 (16%)]      Loss: 0.259793
Train Epoch: 10 [10240/60000 (17%)]     Loss: 0.185120
Train Epoch: 10 [10880/60000 (18%)]     Loss: 0.233403
Train Epoch: 10 [11520/60000 (19%)]     Loss: 0.248298
Train Epoch: 10 [12160/60000 (20%)]     Loss: 0.100401
Train Epoch: 10 [12800/60000 (21%)]     Loss: 0.275249
Train Epoch: 10 [13440/60000 (22%)]     Loss: 0.192982
Train Epoch: 10 [14080/60000 (23%)]     Loss: 0.166929
Train Epoch: 10 [14720/60000 (25%)]     Loss: 0.368874
Train Epoch: 10 [15360/60000 (26%)]     Loss: 0.109181
Train Epoch: 10 [16000/60000 (27%)]     Loss: 0.143397
Train Epoch: 10 [16640/60000 (28%)]     Loss: 0.154203
Train Epoch: 10 [17280/60000 (29%)]     Loss: 0.275130
Train Epoch: 10 [17920/60000 (30%)]     Loss: 0.211727
Train Epoch: 10 [18560/60000 (31%)]     Loss: 0.241904
Train Epoch: 10 [19200/60000 (32%)]     Loss: 0.195398
Train Epoch: 10 [19840/60000 (33%)]     Loss: 0.469643
Train Epoch: 10 [20480/60000 (34%)]     Loss: 0.110592
Train Epoch: 10 [21120/60000 (35%)]     Loss: 0.141821
Train Epoch: 10 [21760/60000 (36%)]     Loss: 0.086444
Train Epoch: 10 [22400/60000 (37%)]     Loss: 0.168787
Train Epoch: 10 [23040/60000 (38%)]     Loss: 0.255919
Train Epoch: 10 [23680/60000 (39%)]     Loss: 0.132847
Train Epoch: 10 [24320/60000 (41%)]     Loss: 0.073434
Train Epoch: 10 [24960/60000 (42%)]     Loss: 0.283744
Train Epoch: 10 [25600/60000 (43%)]     Loss: 0.332405
Train Epoch: 10 [26240/60000 (44%)]     Loss: 0.193309
Train Epoch: 10 [26880/60000 (45%)]     Loss: 0.058816
Train Epoch: 10 [27520/60000 (46%)]     Loss: 0.122909
Train Epoch: 10 [28160/60000 (47%)]     Loss: 0.076475
Train Epoch: 10 [28800/60000 (48%)]     Loss: 0.159846
Train Epoch: 10 [29440/60000 (49%)]     Loss: 0.181319
Train Epoch: 10 [30080/60000 (50%)]     Loss: 0.144522
Train Epoch: 10 [30720/60000 (51%)]     Loss: 0.186550
Train Epoch: 10 [31360/60000 (52%)]     Loss: 0.165432
Train Epoch: 10 [32000/60000 (53%)]     Loss: 0.144751
Train Epoch: 10 [32640/60000 (54%)]     Loss: 0.087298
Train Epoch: 10 [33280/60000 (55%)]     Loss: 0.291271
Train Epoch: 10 [33920/60000 (57%)]     Loss: 0.448880
Train Epoch: 10 [34560/60000 (58%)]     Loss: 0.107688
Train Epoch: 10 [35200/60000 (59%)]     Loss: 0.120196
Train Epoch: 10 [35840/60000 (60%)]     Loss: 0.478813
Train Epoch: 10 [36480/60000 (61%)]     Loss: 0.150407
Train Epoch: 10 [37120/60000 (62%)]     Loss: 0.298926
Train Epoch: 10 [37760/60000 (63%)]     Loss: 0.253885
Train Epoch: 10 [38400/60000 (64%)]     Loss: 0.104823
Train Epoch: 10 [39040/60000 (65%)]     Loss: 0.387917
Train Epoch: 10 [39680/60000 (66%)]     Loss: 0.213398
Train Epoch: 10 [40320/60000 (67%)]     Loss: 0.176626
Train Epoch: 10 [40960/60000 (68%)]     Loss: 0.178082
Train Epoch: 10 [41600/60000 (69%)]     Loss: 0.244119
Train Epoch: 10 [42240/60000 (70%)]     Loss: 0.163646
Train Epoch: 10 [42880/60000 (71%)]     Loss: 0.182623
Train Epoch: 10 [43520/60000 (72%)]     Loss: 0.159770
Train Epoch: 10 [44160/60000 (74%)]     Loss: 0.151280
Train Epoch: 10 [44800/60000 (75%)]     Loss: 0.095696
Train Epoch: 10 [45440/60000 (76%)]     Loss: 0.127997
Train Epoch: 10 [46080/60000 (77%)]     Loss: 0.253323
Train Epoch: 10 [46720/60000 (78%)]     Loss: 0.232649
Train Epoch: 10 [47360/60000 (79%)]     Loss: 0.327599
Train Epoch: 10 [48000/60000 (80%)]     Loss: 0.125655
Train Epoch: 10 [48640/60000 (81%)]     Loss: 0.112069
Train Epoch: 10 [49280/60000 (82%)]     Loss: 0.166707
Train Epoch: 10 [49920/60000 (83%)]     Loss: 0.085849
Train Epoch: 10 [50560/60000 (84%)]     Loss: 0.107354
Train Epoch: 10 [51200/60000 (85%)]     Loss: 0.208743
Train Epoch: 10 [51840/60000 (86%)]     Loss: 0.130223
Train Epoch: 10 [52480/60000 (87%)]     Loss: 0.085813
Train Epoch: 10 [53120/60000 (88%)]     Loss: 0.120429
Train Epoch: 10 [53760/60000 (90%)]     Loss: 0.227600
Train Epoch: 10 [54400/60000 (91%)]     Loss: 0.197566
Train Epoch: 10 [55040/60000 (92%)]     Loss: 0.145632
Train Epoch: 10 [55680/60000 (93%)]     Loss: 0.188145
Train Epoch: 10 [56320/60000 (94%)]     Loss: 0.130753
Train Epoch: 10 [56960/60000 (95%)]     Loss: 0.131253
Train Epoch: 10 [57600/60000 (96%)]     Loss: 0.138887
Train Epoch: 10 [58240/60000 (97%)]     Loss: 0.104484
Train Epoch: 10 [58880/60000 (98%)]     Loss: 0.301650
Train Epoch: 10 [59520/60000 (99%)]     Loss: 0.084552

Test set: Average loss: 0.0545, Accuracy: 9814/10000 (98%)


real    2m28.052s
user    2m27.826s
sys     0m20.069s
root@a65b6615cec3:/opt/pytorch/examples/mnist#