Namespace(batch_size=32, data_shape=512, dataset='voc', epochs=240, gpus='0,1,2,3', log_interval=100, lr=0.001, lr_decay=0.1, lr_decay_epoch='160,200', momentum=0.9, network='vgg16_atrous', num_workers=32, resume='', save_interval=10, save_prefix='ssd_512_vgg16_atrous_voc', seed=233, start_epoch=0, wd=0.0005)
Start training from [Epoch 0]
[Epoch 0][Batch 99], Speed: 36.866824 samples/sec, CrossEntropy=7.631242, SmoothL1=2.860214, accuracy=0.647011
[Epoch 0][Batch 199], Speed: 36.386424 samples/sec, CrossEntropy=6.400191, SmoothL1=2.635141, accuracy=0.698855
[Epoch 0][Batch 299], Speed: 36.665249 samples/sec, CrossEntropy=5.887874, SmoothL1=2.489229, accuracy=0.715859
[Epoch 0][Batch 399], Speed: 38.858816 samples/sec, CrossEntropy=5.588968, SmoothL1=2.377031, accuracy=0.724163
[Epoch 0][Batch 499], Speed: 35.575437 samples/sec, CrossEntropy=5.379037, SmoothL1=2.302653, accuracy=0.729350
[Epoch 0] Training cost: 459.764342, CrossEntropy=5.347068, SmoothL1=2.293896, accuracy=0.730078
[Epoch 0] Validation:
aeroplane=0.006646
bicycle=0.160546
bird=0.004045
boat=0.003924
bottle=0.032478
bus=0.120114
car=0.280613
cat=0.053314
chair=0.015520
cow=0.102723
diningtable=0.050116
dog=0.079747
horse=0.136011
motorbike=0.118593
person=0.311504
pottedplant=0.004700
sheep=0.122403
sofa=0.011091
train=0.063455
tvmonitor=0.094290
mAP=0.088592
[Epoch 1][Batch 99], Speed: 38.410487 samples/sec, CrossEntropy=4.410321, SmoothL1=1.927326, accuracy=0.750913
[Epoch 1][Batch 199], Speed: 39.188745 samples/sec, CrossEntropy=4.320144, SmoothL1=1.903645, accuracy=0.751214
[Epoch 1][Batch 299], Speed: 38.385639 samples/sec, CrossEntropy=4.285090, SmoothL1=1.891893, accuracy=0.751311
[Epoch 1][Batch 399], Speed: 38.760769 samples/sec, CrossEntropy=4.245008, SmoothL1=1.871556, accuracy=0.751512
[Epoch 1][Batch 499], Speed: 39.964676 samples/sec, CrossEntropy=4.201146, SmoothL1=1.854747, accuracy=0.751756
[Epoch 1] Training cost: 452.949645, CrossEntropy=4.195863, SmoothL1=1.852001, accuracy=0.751847
[Epoch 1] Validation:
aeroplane=0.131493
bicycle=0.211524
bird=0.118004
boat=0.014816
bottle=0.095627
bus=0.213839
car=0.463860
cat=0.332424
chair=0.244587
cow=0.203992
diningtable=0.022177
dog=0.304599
horse=0.184652
motorbike=0.224548
person=0.511054
pottedplant=0.050908
sheep=0.182733
sofa=0.126911
train=0.148112
tvmonitor=0.223814
mAP=0.200484
[Epoch 2][Batch 99], Speed: 36.976689 samples/sec, CrossEntropy=3.857018, SmoothL1=1.753115, accuracy=0.754568
[Epoch 2][Batch 199], Speed: 37.069163 samples/sec, CrossEntropy=3.847295, SmoothL1=1.738690, accuracy=0.755009
[Epoch 2][Batch 299], Speed: 36.559773 samples/sec, CrossEntropy=3.843059, SmoothL1=1.729132, accuracy=0.755088
[Epoch 2][Batch 399], Speed: 36.674196 samples/sec, CrossEntropy=3.820526, SmoothL1=1.718726, accuracy=0.755405
[Epoch 2][Batch 499], Speed: 38.506801 samples/sec, CrossEntropy=3.806071, SmoothL1=1.714298, accuracy=0.755595
[Epoch 2] Training cost: 452.002064, CrossEntropy=3.803702, SmoothL1=1.711577, accuracy=0.755659
[Epoch 2] Validation:
aeroplane=0.291569
bicycle=0.423358
bird=0.245800
boat=0.129266
bottle=0.104943
bus=0.283561
car=0.637820
cat=0.491490
chair=0.299159
cow=0.339789
diningtable=0.073849
dog=0.409336
horse=0.349599
motorbike=0.363060
person=0.592831
pottedplant=0.103160
sheep=0.369064
sofa=0.289225
train=0.266377
tvmonitor=0.357143
mAP=0.321020
[Epoch 3][Batch 99], Speed: 37.919679 samples/sec, CrossEntropy=3.610939, SmoothL1=1.640057, accuracy=0.757516
[Epoch 3][Batch 199], Speed: 38.309919 samples/sec, CrossEntropy=3.615049, SmoothL1=1.637592, accuracy=0.757985
[Epoch 3][Batch 299], Speed: 36.548494 samples/sec, CrossEntropy=3.588340, SmoothL1=1.630584, accuracy=0.758586
[Epoch 3][Batch 399], Speed: 34.571081 samples/sec, CrossEntropy=3.574246, SmoothL1=1.625435, accuracy=0.759041
[Epoch 3][Batch 499], Speed: 31.528209 samples/sec, CrossEntropy=3.559485, SmoothL1=1.623544, accuracy=0.759093
[Epoch 3] Training cost: 455.434897, CrossEntropy=3.556522, SmoothL1=1.621052, accuracy=0.759189
[Epoch 3] Validation:
aeroplane=0.461742
bicycle=0.502074
bird=0.373986
boat=0.151834
bottle=0.151990
bus=0.445686
car=0.702702
cat=0.585893
chair=0.339303
cow=0.425764
diningtable=0.252840
dog=0.431682
horse=0.379840
motorbike=0.413329
person=0.655310
pottedplant=0.161501
sheep=0.508923
sofa=0.378219
train=0.365118
tvmonitor=0.448668
mAP=0.406820
[Epoch 4][Batch 99], Speed: 39.278313 samples/sec, CrossEntropy=3.431271, SmoothL1=1.588507, accuracy=0.761469
[Epoch 4][Batch 199], Speed: 39.051394 samples/sec, CrossEntropy=3.422691, SmoothL1=1.582088, accuracy=0.762082
[Epoch 4][Batch 299], Speed: 37.099082 samples/sec, CrossEntropy=3.427063, SmoothL1=1.576991, accuracy=0.762409
[Epoch 4][Batch 399], Speed: 36.885051 samples/sec, CrossEntropy=3.417204, SmoothL1=1.573869, accuracy=0.762396
[Epoch 4][Batch 499], Speed: 40.000408 samples/sec, CrossEntropy=3.408063, SmoothL1=1.565720, accuracy=0.762938
[Epoch 4] Training cost: 454.137965, CrossEntropy=3.402264, SmoothL1=1.563881, accuracy=0.763076
[Epoch 4] Validation:
aeroplane=0.574148
bicycle=0.597632
bird=0.540328
boat=0.253718
bottle=0.265586
bus=0.535302
car=0.753336
cat=0.701069
chair=0.352569
cow=0.504233
diningtable=0.262817
dog=0.613484
horse=0.523803
motorbike=0.567747
person=0.665590
pottedplant=0.161986
sheep=0.496856
sofa=0.464390
train=0.473212
tvmonitor=0.530318
mAP=0.491906
[Epoch 5][Batch 99], Speed: 36.406538 samples/sec, CrossEntropy=3.297668, SmoothL1=1.517824, accuracy=0.765499
[Epoch 5][Batch 199], Speed: 33.441283 samples/sec, CrossEntropy=3.299321, SmoothL1=1.527039, accuracy=0.765500
[Epoch 5][Batch 299], Speed: 38.286718 samples/sec, CrossEntropy=3.285186, SmoothL1=1.514566, accuracy=0.765941
[Epoch 5][Batch 399], Speed: 36.766269 samples/sec, CrossEntropy=3.285711, SmoothL1=1.513508, accuracy=0.765833
[Epoch 5][Batch 499], Speed: 36.439205 samples/sec, CrossEntropy=3.275949, SmoothL1=1.507690, accuracy=0.766205
[Epoch 5] Training cost: 453.089776, CrossEntropy=3.273866, SmoothL1=1.506749, accuracy=0.766287
[Epoch 5] Validation:
aeroplane=0.608731
bicycle=0.654636
bird=0.544136
boat=0.313726
bottle=0.283472
bus=0.552535
car=0.760669
cat=0.698789
chair=0.386562
cow=0.503969
diningtable=0.339459
dog=0.639029
horse=0.627268
motorbike=0.572824
person=0.692207
pottedplant=0.150444
sheep=0.493456
sofa=0.513963
train=0.493128
tvmonitor=0.583517
mAP=0.520626
[Epoch 6][Batch 99], Speed: 39.005080 samples/sec, CrossEntropy=3.212260, SmoothL1=1.474410, accuracy=0.767572
[Epoch 6][Batch 199], Speed: 37.762474 samples/sec, CrossEntropy=3.196567, SmoothL1=1.467426, accuracy=0.768169
[Epoch 6][Batch 299], Speed: 34.762958 samples/sec, CrossEntropy=3.188276, SmoothL1=1.455932, accuracy=0.768637
[Epoch 6][Batch 399], Speed: 34.243130 samples/sec, CrossEntropy=3.192967, SmoothL1=1.453262, accuracy=0.768882
[Epoch 6][Batch 499], Speed: 38.272012 samples/sec, CrossEntropy=3.191022, SmoothL1=1.455716, accuracy=0.768910
[Epoch 6] Training cost: 454.659556, CrossEntropy=3.185966, SmoothL1=1.455336, accuracy=0.768991
[Epoch 6] Validation:
aeroplane=0.596418
bicycle=0.639819
bird=0.589935
boat=0.348618
bottle=0.329575
bus=0.576132
car=0.782495
cat=0.740429
chair=0.433417
cow=0.576955
diningtable=0.402433
dog=0.671080
horse=0.671325
motorbike=0.655913
person=0.689000
pottedplant=0.189889
sheep=0.555198
sofa=0.530807
train=0.617673
tvmonitor=0.613906
mAP=0.560551
[Epoch 7][Batch 99], Speed: 38.626774 samples/sec, CrossEntropy=3.151887, SmoothL1=1.447506, accuracy=0.770265
[Epoch 7][Batch 199], Speed: 37.713029 samples/sec, CrossEntropy=3.132435, SmoothL1=1.452935, accuracy=0.770654
[Epoch 7][Batch 299], Speed: 33.259676 samples/sec, CrossEntropy=3.128281, SmoothL1=1.437834, accuracy=0.770689
[Epoch 7][Batch 399], Speed: 35.929382 samples/sec, CrossEntropy=3.113370, SmoothL1=1.425238, accuracy=0.771429
[Epoch 7][Batch 499], Speed: 39.339099 samples/sec, CrossEntropy=3.111747, SmoothL1=1.424769, accuracy=0.771630
[Epoch 7] Training cost: 455.155637, CrossEntropy=3.112792, SmoothL1=1.425397, accuracy=0.771602
[Epoch 7] Validation:
aeroplane=0.686638
bicycle=0.674553
bird=0.598815
boat=0.413664
bottle=0.249260
bus=0.702248
car=0.763806
cat=0.752985
chair=0.426510
cow=0.576458
diningtable=0.470514
dog=0.651774
horse=0.669262
motorbike=0.671377
person=0.715828
pottedplant=0.229272
sheep=0.567654
sofa=0.604878
train=0.684652
tvmonitor=0.638791
mAP=0.587447
[Epoch 8][Batch 99], Speed: 39.910641 samples/sec, CrossEntropy=3.032370, SmoothL1=1.375470, accuracy=0.774497
[Epoch 8][Batch 199], Speed: 39.406285 samples/sec, CrossEntropy=3.050815, SmoothL1=1.391123, accuracy=0.774016
[Epoch 8][Batch 299], Speed: 33.687540 samples/sec, CrossEntropy=3.057535, SmoothL1=1.399657, accuracy=0.773650
[Epoch 8][Batch 399], Speed: 35.641727 samples/sec, CrossEntropy=3.043686, SmoothL1=1.392033, accuracy=0.774319
[Epoch 8][Batch 499], Speed: 38.185427 samples/sec, CrossEntropy=3.046877, SmoothL1=1.392935, accuracy=0.774462
[Epoch 8] Training cost: 454.721963, CrossEntropy=3.045447, SmoothL1=1.392140, accuracy=0.774502
[Epoch 8] Validation:
aeroplane=0.642074
bicycle=0.703472
bird=0.573181
boat=0.428553
bottle=0.308568
bus=0.676901
car=0.792725
cat=0.732109
chair=0.422606
cow=0.560266
diningtable=0.467503
dog=0.693287
horse=0.692072
motorbike=0.666543
person=0.704244
pottedplant=0.217577
sheep=0.570406
sofa=0.592019
train=0.622016
tvmonitor=0.634216
mAP=0.585017
[Epoch 9][Batch 99], Speed: 38.138422 samples/sec, CrossEntropy=2.980395, SmoothL1=1.365330, accuracy=0.778004
[Epoch 9][Batch 199], Speed: 34.249911 samples/sec, CrossEntropy=2.983184, SmoothL1=1.378074, accuracy=0.776374
[Epoch 9][Batch 299], Speed: 37.979080 samples/sec, CrossEntropy=2.975841, SmoothL1=1.371554, accuracy=0.776131
[Epoch 9][Batch 399], Speed: 37.033048 samples/sec, CrossEntropy=2.975243, SmoothL1=1.366928, accuracy=0.776351
[Epoch 9][Batch 499], Speed: 39.354244 samples/sec, CrossEntropy=2.975053, SmoothL1=1.367790, accuracy=0.776382
[Epoch 9] Training cost: 455.624574, CrossEntropy=2.972898, SmoothL1=1.368095, accuracy=0.776440
[Epoch 9] Validation:
aeroplane=0.672741
bicycle=0.738653
bird=0.651825
boat=0.468019
bottle=0.346876
bus=0.737308
car=0.782887
cat=0.693478
chair=0.468155
cow=0.631802
diningtable=0.470978
dog=0.684588
horse=0.662479
motorbike=0.699818
person=0.705915
pottedplant=0.296417
sheep=0.617583
sofa=0.665248
train=0.689153
tvmonitor=0.663864
mAP=0.617389
[Epoch 10][Batch 99], Speed: 36.514419 samples/sec, CrossEntropy=2.943649, SmoothL1=1.348443, accuracy=0.777408
[Epoch 10][Batch 199], Speed: 38.118557 samples/sec, CrossEntropy=2.941939, SmoothL1=1.338190, accuracy=0.778307
[Epoch 10][Batch 299], Speed: 34.622850 samples/sec, CrossEntropy=2.937569, SmoothL1=1.334129, accuracy=0.778151
[Epoch 10][Batch 399], Speed: 37.256829 samples/sec, CrossEntropy=2.933970, SmoothL1=1.330047, accuracy=0.778221
[Epoch 10][Batch 499], Speed: 38.065822 samples/sec, CrossEntropy=2.929445, SmoothL1=1.330094, accuracy=0.778145
[Epoch 10] Training cost: 454.240774, CrossEntropy=2.931769, SmoothL1=1.330994, accuracy=0.778114
[Epoch 10] Validation:
aeroplane=0.685766
bicycle=0.691754
bird=0.605053
boat=0.444677
bottle=0.389405
bus=0.732219
car=0.803832
cat=0.772085
chair=0.457276
cow=0.586942
diningtable=0.574443
dog=0.673465
horse=0.524955
motorbike=0.693813
person=0.701388
pottedplant=0.270638
sheep=0.561843
sofa=0.630780
train=0.682215
tvmonitor=0.640410
mAP=0.606148
[Epoch 11][Batch 99], Speed: 39.100541 samples/sec, CrossEntropy=2.869950, SmoothL1=1.297902, accuracy=0.780190
[Epoch 11][Batch 199], Speed: 35.434526 samples/sec, CrossEntropy=2.890446, SmoothL1=1.315657, accuracy=0.780054
[Epoch 11][Batch 299], Speed: 37.305386 samples/sec, CrossEntropy=2.886299, SmoothL1=1.309725, accuracy=0.780134
[Epoch 11][Batch 399], Speed: 36.002020 samples/sec, CrossEntropy=2.900302, SmoothL1=1.320487, accuracy=0.779606
[Epoch 11][Batch 499], Speed: 40.159182 samples/sec, CrossEntropy=2.906751, SmoothL1=1.318772, accuracy=0.779640
[Epoch 11] Training cost: 454.698591, CrossEntropy=2.904610, SmoothL1=1.317867, accuracy=0.779734
[Epoch 11] Validation:
aeroplane=0.707263
bicycle=0.743996
bird=0.684173
boat=0.492841
bottle=0.382715
bus=0.704358
car=0.803985
cat=0.797383
chair=0.460514
cow=0.661369
diningtable=0.549893
dog=0.769559
horse=0.766215
motorbike=0.736744
person=0.733973
pottedplant=0.264333
sheep=0.627149
sofa=0.647880
train=0.652477
tvmonitor=0.622037
mAP=0.640443
[Epoch 12][Batch 99], Speed: 37.879772 samples/sec, CrossEntropy=2.826556, SmoothL1=1.291912, accuracy=0.781867
[Epoch 12][Batch 199], Speed: 38.951990 samples/sec, CrossEntropy=2.835805, SmoothL1=1.299408, accuracy=0.782094
[Epoch 12][Batch 299], Speed: 34.760059 samples/sec, CrossEntropy=2.827884, SmoothL1=1.299842, accuracy=0.782250
[Epoch 12][Batch 399], Speed: 36.967218 samples/sec, CrossEntropy=2.827891, SmoothL1=1.294817, accuracy=0.782364
[Epoch 12][Batch 499], Speed: 31.185438 samples/sec, CrossEntropy=2.827669, SmoothL1=1.290291, accuracy=0.782389
[Epoch 12] Training cost: 454.010120, CrossEntropy=2.829020, SmoothL1=1.290469, accuracy=0.782359
[Epoch 12] Validation:
aeroplane=0.680883
bicycle=0.760805
bird=0.598687
boat=0.508198
bottle=0.397163
bus=0.755782
car=0.820677
cat=0.792303
chair=0.476215
cow=0.677706
diningtable=0.554052
dog=0.767098
horse=0.751820
motorbike=0.674348
person=0.740981
pottedplant=0.313970
sheep=0.611327
sofa=0.663276
train=0.718144
tvmonitor=0.683132
mAP=0.647328
[Epoch 13][Batch 99], Speed: 34.595417 samples/sec, CrossEntropy=2.826977, SmoothL1=1.278778, accuracy=0.781378
[Epoch 13][Batch 199], Speed: 38.208222 samples/sec, CrossEntropy=2.822212, SmoothL1=1.285008, accuracy=0.782261
[Epoch 13][Batch 299], Speed: 37.872920 samples/sec, CrossEntropy=2.819214, SmoothL1=1.278707, accuracy=0.782562
[Epoch 13][Batch 399], Speed: 36.624579 samples/sec, CrossEntropy=2.814142, SmoothL1=1.276504, accuracy=0.782743
[Epoch 13][Batch 499], Speed: 36.727444 samples/sec, CrossEntropy=2.813291, SmoothL1=1.271632, accuracy=0.782794
[Epoch 13] Training cost: 454.947211, CrossEntropy=2.810773, SmoothL1=1.270754, accuracy=0.782936
[Epoch 13] Validation:
aeroplane=0.647180
bicycle=0.745156
bird=0.641400
boat=0.481982
bottle=0.382706
bus=0.734695
car=0.823739
cat=0.785404
chair=0.506441
cow=0.605471
diningtable=0.533268
dog=0.684766
horse=0.741941
motorbike=0.678331
person=0.741826
pottedplant=0.308238
sheep=0.618695
sofa=0.626291
train=0.710624
tvmonitor=0.679028
mAP=0.633859
[Epoch 14][Batch 99], Speed: 34.109617 samples/sec, CrossEntropy=2.780529, SmoothL1=1.265021, accuracy=0.784035
[Epoch 14][Batch 199], Speed: 37.515496 samples/sec, CrossEntropy=2.784818, SmoothL1=1.264486, accuracy=0.783762
[Epoch 14][Batch 299], Speed: 37.345391 samples/sec, CrossEntropy=2.794135, SmoothL1=1.265727, accuracy=0.783937
[Epoch 14][Batch 399], Speed: 37.387064 samples/sec, CrossEntropy=2.792685, SmoothL1=1.265661, accuracy=0.783904
[Epoch 14][Batch 499], Speed: 41.090225 samples/sec, CrossEntropy=2.790181, SmoothL1=1.264593, accuracy=0.784087
[Epoch 14] Training cost: 454.324432, CrossEntropy=2.787273, SmoothL1=1.263644, accuracy=0.784235
[Epoch 14] Validation:
aeroplane=0.676411
bicycle=0.779988
bird=0.619826
boat=0.506125
bottle=0.400284
bus=0.745637
car=0.832534
cat=0.804894
chair=0.471014
cow=0.668417
diningtable=0.561105
dog=0.789408
horse=0.731504
motorbike=0.708339
person=0.745611
pottedplant=0.306630
sheep=0.651877
sofa=0.679910
train=0.738737
tvmonitor=0.689592
mAP=0.655392
[Epoch 15][Batch 99], Speed: 36.175520 samples/sec, CrossEntropy=2.724700, SmoothL1=1.247498, accuracy=0.786801
[Epoch 15][Batch 199], Speed: 38.507862 samples/sec, CrossEntropy=2.761626, SmoothL1=1.254129, accuracy=0.785819
[Epoch 15][Batch 299], Speed: 38.125466 samples/sec, CrossEntropy=2.757572, SmoothL1=1.254603, accuracy=0.785906
[Epoch 15][Batch 399], Speed: 39.325901 samples/sec, CrossEntropy=2.760530, SmoothL1=1.256490, accuracy=0.786015
[Epoch 15][Batch 499], Speed: 38.795209 samples/sec, CrossEntropy=2.755817, SmoothL1=1.247194, accuracy=0.786318
[Epoch 15] Training cost: 454.202037, CrossEntropy=2.753670, SmoothL1=1.246032, accuracy=0.786405
[Epoch 15] Validation:
aeroplane=0.732946
bicycle=0.796737
bird=0.698543
boat=0.561506
bottle=0.414757
bus=0.773909
car=0.818099
cat=0.824164
chair=0.511081
cow=0.752495
diningtable=0.576910
dog=0.769807
horse=0.749529
motorbike=0.770354
person=0.742072
pottedplant=0.364589
sheep=0.660613
sofa=0.689909
train=0.756534
tvmonitor=0.681549
mAP=0.682305
[Epoch 16][Batch 99], Speed: 37.893632 samples/sec, CrossEntropy=2.672076, SmoothL1=1.216580, accuracy=0.788758
[Epoch 16][Batch 199], Speed: 39.428963 samples/sec, CrossEntropy=2.687504, SmoothL1=1.216670, accuracy=0.788589
[Epoch 16][Batch 299], Speed: 39.030522 samples/sec, CrossEntropy=2.700312, SmoothL1=1.220262, accuracy=0.788119
[Epoch 16][Batch 399], Speed: 38.621184 samples/sec, CrossEntropy=2.720468, SmoothL1=1.228495, accuracy=0.787348
[Epoch 16][Batch 499], Speed: 36.966699 samples/sec, CrossEntropy=2.719397, SmoothL1=1.229178, accuracy=0.787288
[Epoch 16] Training cost: 453.673500, CrossEntropy=2.718822, SmoothL1=1.229257, accuracy=0.787321
[Epoch 16] Validation:
aeroplane=0.722510
bicycle=0.740151
bird=0.671961
boat=0.521743
bottle=0.384807
bus=0.749478
car=0.810690
cat=0.817087
chair=0.497149
cow=0.671836
diningtable=0.532328
dog=0.718301
horse=0.783146
motorbike=0.722340
person=0.746626
pottedplant=0.309160
sheep=0.652177
sofa=0.693583
train=0.750657
tvmonitor=0.666246
mAP=0.658099
[Epoch 17][Batch 99], Speed: 38.542739 samples/sec, CrossEntropy=2.718895, SmoothL1=1.224882, accuracy=0.787521
[Epoch 17][Batch 199], Speed: 35.906765 samples/sec, CrossEntropy=2.717226, SmoothL1=1.225381, accuracy=0.787563
[Epoch 17][Batch 299], Speed: 37.179869 samples/sec, CrossEntropy=2.707056, SmoothL1=1.222165, accuracy=0.788095
[Epoch 17][Batch 399], Speed: 37.808428 samples/sec, CrossEntropy=2.706156, SmoothL1=1.222021, accuracy=0.788228
[Epoch 17][Batch 499], Speed: 37.745780 samples/sec, CrossEntropy=2.701544, SmoothL1=1.219111, accuracy=0.788607
[Epoch 17] Training cost: 454.350633, CrossEntropy=2.701594, SmoothL1=1.218718, accuracy=0.788597
[Epoch 17] Validation:
aeroplane=0.731252
bicycle=0.811464
bird=0.668560
boat=0.472090
bottle=0.408865
bus=0.805655
car=0.835605
cat=0.815431
chair=0.466770
cow=0.693700
diningtable=0.619572
dog=0.773074
horse=0.810356
motorbike=0.773950
person=0.747715
pottedplant=0.259885
sheep=0.632368
sofa=0.657635
train=0.785557
tvmonitor=0.635615
mAP=0.670256
[Epoch 18][Batch 99], Speed: 36.575106 samples/sec, CrossEntropy=2.624407, SmoothL1=1.191685, accuracy=0.791805
[Epoch 18][Batch 199], Speed: 37.323260 samples/sec, CrossEntropy=2.650695, SmoothL1=1.197990, accuracy=0.790973
[Epoch 18][Batch 299], Speed: 38.377901 samples/sec, CrossEntropy=2.667677, SmoothL1=1.204275, accuracy=0.789965
[Epoch 18][Batch 399], Speed: 38.702872 samples/sec, CrossEntropy=2.673633, SmoothL1=1.202407, accuracy=0.789419
[Epoch 18][Batch 499], Speed: 34.817769 samples/sec, CrossEntropy=2.677060, SmoothL1=1.199800, accuracy=0.789318
[Epoch 18] Training cost: 453.184989, CrossEntropy=2.676838, SmoothL1=1.199083, accuracy=0.789298
[Epoch 18] Validation:
aeroplane=0.730695
bicycle=0.747395
bird=0.681888
boat=0.528757
bottle=0.380334
bus=0.769671
car=0.834631
cat=0.833487
chair=0.484972
cow=0.713734
diningtable=0.650217
dog=0.786998
horse=0.786041
motorbike=0.751054
person=0.743888
pottedplant=0.289948
sheep=0.666840
sofa=0.684667
train=0.745952
tvmonitor=0.681272
mAP=0.674622
[Epoch 19][Batch 99], Speed: 34.677480 samples/sec, CrossEntropy=2.677829, SmoothL1=1.204071, accuracy=0.788776
[Epoch 19][Batch 199], Speed: 36.388071 samples/sec, CrossEntropy=2.683513, SmoothL1=1.211390, accuracy=0.789548
[Epoch 19][Batch 299], Speed: 38.906813 samples/sec, CrossEntropy=2.663086, SmoothL1=1.200361, accuracy=0.789759
[Epoch 19][Batch 399], Speed: 35.332803 samples/sec, CrossEntropy=2.660778, SmoothL1=1.194134, accuracy=0.789710
[Epoch 19][Batch 499], Speed: 38.060759 samples/sec, CrossEntropy=2.658528, SmoothL1=1.194102, accuracy=0.790088
[Epoch 19] Training cost: 453.223018, CrossEntropy=2.659154, SmoothL1=1.194166, accuracy=0.790033
[Epoch 19] Validation:
aeroplane=0.727539
bicycle=0.767727
bird=0.727157
boat=0.571276
bottle=0.440992
bus=0.810352
car=0.828175
cat=0.822275
chair=0.501675
cow=0.701411
diningtable=0.639443
dog=0.788194
horse=0.786817
motorbike=0.766552
person=0.760494
pottedplant=0.372242
sheep=0.677760
sofa=0.676054
train=0.809163
tvmonitor=0.689626
mAP=0.693246
[Epoch 20][Batch 99], Speed: 39.540148 samples/sec, CrossEntropy=2.621815, SmoothL1=1.186060, accuracy=0.791651
[Epoch 20][Batch 199], Speed: 39.590101 samples/sec, CrossEntropy=2.617975, SmoothL1=1.183537, accuracy=0.791761
[Epoch 20][Batch 299], Speed: 37.626388 samples/sec, CrossEntropy=2.621856, SmoothL1=1.177518, accuracy=0.791402
[Epoch 20][Batch 399], Speed: 37.052912 samples/sec, CrossEntropy=2.623821, SmoothL1=1.183170, accuracy=0.791232
[Epoch 20][Batch 499], Speed: 35.072840 samples/sec, CrossEntropy=2.621479, SmoothL1=1.182337, accuracy=0.791533
[Epoch 20] Training cost: 454.774669, CrossEntropy=2.619026, SmoothL1=1.181024, accuracy=0.791559
[Epoch 20] Validation:
aeroplane=0.763284
bicycle=0.765634
bird=0.719271
boat=0.536832
bottle=0.442854
bus=0.803549
car=0.829609
cat=0.831436
chair=0.533856
cow=0.711378
diningtable=0.638257
dog=0.799876
horse=0.797115
motorbike=0.769600
person=0.756507
pottedplant=0.398267
sheep=0.688735
sofa=0.679918
train=0.782022
tvmonitor=0.718893
mAP=0.698344
[Epoch 21][Batch 99], Speed: 37.855263 samples/sec, CrossEntropy=2.564755, SmoothL1=1.147130, accuracy=0.795134
[Epoch 21][Batch 199], Speed: 34.509092 samples/sec, CrossEntropy=2.567455, SmoothL1=1.152809, accuracy=0.795126
[Epoch 21][Batch 299], Speed: 36.225765 samples/sec, CrossEntropy=2.598889, SmoothL1=1.165334, accuracy=0.794006
[Epoch 21][Batch 399], Speed: 39.259999 samples/sec, CrossEntropy=2.593277, SmoothL1=1.160024, accuracy=0.793950
[Epoch 21][Batch 499], Speed: 40.282737 samples/sec, CrossEntropy=2.598478, SmoothL1=1.161586, accuracy=0.793841
[Epoch 21] Training cost: 455.367593, CrossEntropy=2.599194, SmoothL1=1.161351, accuracy=0.793755
[Epoch 21] Validation:
aeroplane=0.741990
bicycle=0.796621
bird=0.701249
boat=0.579662
bottle=0.445996
bus=0.799439
car=0.839426
cat=0.833509
chair=0.508737
cow=0.755621
diningtable=0.537953
dog=0.779764
horse=0.813217
motorbike=0.780669
person=0.752297
pottedplant=0.299257
sheep=0.707253
sofa=0.713889
train=0.793594
tvmonitor=0.719930
mAP=0.695004
[Epoch 22][Batch 99], Speed: 33.641328 samples/sec, CrossEntropy=2.576084, SmoothL1=1.164461, accuracy=0.794862
[Epoch 22][Batch 199], Speed: 35.876886 samples/sec, CrossEntropy=2.575101, SmoothL1=1.168028, accuracy=0.793884
[Epoch 22][Batch 299], Speed: 37.485384 samples/sec, CrossEntropy=2.576666, SmoothL1=1.163704, accuracy=0.794083
[Epoch 22][Batch 399], Speed: 34.349573 samples/sec, CrossEntropy=2.575105, SmoothL1=1.162086, accuracy=0.793955
[Epoch 22][Batch 499], Speed: 36.606738 samples/sec, CrossEntropy=2.572254, SmoothL1=1.158240, accuracy=0.793930
[Epoch 22] Training cost: 455.709139, CrossEntropy=2.574115, SmoothL1=1.158225, accuracy=0.793915
[Epoch 22] Validation:
aeroplane=0.740509
bicycle=0.745782
bird=0.651035
boat=0.608947
bottle=0.460081
bus=0.810619
car=0.825231
cat=0.858737
chair=0.517655
cow=0.735332
diningtable=0.602847
dog=0.807743
horse=0.791672
motorbike=0.754623
person=0.749710
pottedplant=0.394737
sheep=0.697212
sofa=0.684167
train=0.807084
tvmonitor=0.702765
mAP=0.697324
[Epoch 23][Batch 99], Speed: 36.459220 samples/sec, CrossEntropy=2.523557, SmoothL1=1.137036, accuracy=0.797277
[Epoch 23][Batch 199], Speed: 36.924301 samples/sec, CrossEntropy=2.549672, SmoothL1=1.153496, accuracy=0.796963
[Epoch 23][Batch 299], Speed: 35.998052 samples/sec, CrossEntropy=2.552062, SmoothL1=1.144491, accuracy=0.796481
[Epoch 23][Batch 399], Speed: 37.191315 samples/sec, CrossEntropy=2.562316, SmoothL1=1.145938, accuracy=0.795876
[Epoch 23][Batch 499], Speed: 37.164622 samples/sec, CrossEntropy=2.558459, SmoothL1=1.143803, accuracy=0.795754
[Epoch 23] Training cost: 453.637517, CrossEntropy=2.556426, SmoothL1=1.141653, accuracy=0.795745
[Epoch 23] Validation:
aeroplane=0.731437
bicycle=0.823011
bird=0.690632
boat=0.627091
bottle=0.467943
bus=0.817036
car=0.834890
cat=0.792240
chair=0.528386
cow=0.725619
diningtable=0.614136
dog=0.749051
horse=0.798379
motorbike=0.792565
person=0.766748
pottedplant=0.420877
sheep=0.718789
sofa=0.703065
train=0.804796
tvmonitor=0.737189
mAP=0.707194
[Epoch 24][Batch 99], Speed: 36.802208 samples/sec, CrossEntropy=2.537322, SmoothL1=1.138801, accuracy=0.797250
[Epoch 24][Batch 199], Speed: 38.115830 samples/sec, CrossEntropy=2.530024, SmoothL1=1.145521, accuracy=0.796543
[Epoch 24][Batch 299], Speed: 38.050077 samples/sec, CrossEntropy=2.531667, SmoothL1=1.144110, accuracy=0.796347
[Epoch 24][Batch 399], Speed: 39.795206 samples/sec, CrossEntropy=2.536525, SmoothL1=1.138417, accuracy=0.796196
[Epoch 24][Batch 499], Speed: 35.677455 samples/sec, CrossEntropy=2.534480, SmoothL1=1.133703, accuracy=0.796640
[Epoch 24] Training cost: 453.944372, CrossEntropy=2.536290, SmoothL1=1.132550, accuracy=0.796650
[Epoch 24] Validation:
aeroplane=0.758616
bicycle=0.829919
bird=0.722388
boat=0.604777
bottle=0.412956
bus=0.788020
car=0.847375
cat=0.836094
chair=0.552843
cow=0.736322
diningtable=0.606178
dog=0.789914
horse=0.799296
motorbike=0.797962
person=0.763061
pottedplant=0.441875
sheep=0.714638
sofa=0.706668
train=0.815113
tvmonitor=0.703434
mAP=0.711373
[Epoch 25][Batch 99], Speed: 35.689987 samples/sec, CrossEntropy=2.492180, SmoothL1=1.127696, accuracy=0.798805
[Epoch 25][Batch 199], Speed: 37.977458 samples/sec, CrossEntropy=2.500873, SmoothL1=1.127335, accuracy=0.798029
[Epoch 25][Batch 299], Speed: 35.856586 samples/sec, CrossEntropy=2.521817, SmoothL1=1.131275, accuracy=0.797066
[Epoch 25][Batch 399], Speed: 39.485848 samples/sec, CrossEntropy=2.522690, SmoothL1=1.125563, accuracy=0.797421
[Epoch 25][Batch 499], Speed: 38.284108 samples/sec, CrossEntropy=2.517979, SmoothL1=1.125446, accuracy=0.797462
[Epoch 25] Training cost: 454.826504, CrossEntropy=2.519957, SmoothL1=1.126457, accuracy=0.797318
[Epoch 25] Validation:
aeroplane=0.768086
bicycle=0.816555
bird=0.660964
boat=0.580442
bottle=0.450080
bus=0.823294
car=0.841731
cat=0.835519
chair=0.536821
cow=0.716608
diningtable=0.671842
dog=0.781198
horse=0.793207
motorbike=0.785110
person=0.765448
pottedplant=0.399525
sheep=0.691881
sofa=0.742214
train=0.765822
tvmonitor=0.727692
mAP=0.707702
[Epoch 26][Batch 99], Speed: 36.949022 samples/sec, CrossEntropy=2.493187, SmoothL1=1.124330, accuracy=0.798060
[Epoch 26][Batch 199], Speed: 35.108428 samples/sec, CrossEntropy=2.516439, SmoothL1=1.133681, accuracy=0.797255
[Epoch 26][Batch 299], Speed: 38.090604 samples/sec, CrossEntropy=2.502928, SmoothL1=1.119944, accuracy=0.798085
[Epoch 26][Batch 399], Speed: 38.146194 samples/sec, CrossEntropy=2.506132, SmoothL1=1.122464, accuracy=0.798118
[Epoch 26][Batch 499], Speed: 36.115266 samples/sec, CrossEntropy=2.501398, SmoothL1=1.118392, accuracy=0.798333
[Epoch 26] Training cost: 454.699248, CrossEntropy=2.500716, SmoothL1=1.117269, accuracy=0.798364
[Epoch 26] Validation:
aeroplane=0.742798
bicycle=0.835378
bird=0.695436
boat=0.602148
bottle=0.430642
bus=0.781838
car=0.843839
cat=0.811965
chair=0.543189
cow=0.729294
diningtable=0.653171
dog=0.805210
horse=0.819431
motorbike=0.794353
person=0.767860
pottedplant=0.325793
sheep=0.677815
sofa=0.704160
train=0.765973
tvmonitor=0.702203
mAP=0.701625
[Epoch 27][Batch 99], Speed: 36.811101 samples/sec, CrossEntropy=2.473462, SmoothL1=1.078472, accuracy=0.799239
[Epoch 27][Batch 199], Speed: 39.767014 samples/sec, CrossEntropy=2.493158, SmoothL1=1.101657, accuracy=0.798592
[Epoch 27][Batch 299], Speed: 36.723485 samples/sec, CrossEntropy=2.499434, SmoothL1=1.110803, accuracy=0.798179
[Epoch 27][Batch 399], Speed: 35.131089 samples/sec, CrossEntropy=2.500880, SmoothL1=1.112696, accuracy=0.798217
[Epoch 27][Batch 499], Speed: 36.957731 samples/sec, CrossEntropy=2.498007, SmoothL1=1.110186, accuracy=0.798213
[Epoch 27] Training cost: 456.215233, CrossEntropy=2.497165, SmoothL1=1.109343, accuracy=0.798051
[Epoch 27] Validation:
aeroplane=0.740797
bicycle=0.823381
bird=0.715947
boat=0.579278
bottle=0.445902
bus=0.785100
car=0.834232
cat=0.853235
chair=0.517183
cow=0.794822
diningtable=0.642728
dog=0.838268
horse=0.811650
motorbike=0.769732
person=0.757307
pottedplant=0.412516
sheep=0.711475
sofa=0.696064
train=0.793267
tvmonitor=0.713481
mAP=0.711818
[Epoch 28][Batch 99], Speed: 36.522049 samples/sec, CrossEntropy=2.471789, SmoothL1=1.096065, accuracy=0.799429
[Epoch 28][Batch 199], Speed: 37.875688 samples/sec, CrossEntropy=2.450781, SmoothL1=1.100696, accuracy=0.800505
[Epoch 28][Batch 299], Speed: 36.642327 samples/sec, CrossEntropy=2.451099, SmoothL1=1.098320, accuracy=0.800129
[Epoch 28][Batch 399], Speed: 36.671681 samples/sec, CrossEntropy=2.457252, SmoothL1=1.094273, accuracy=0.800015
[Epoch 28][Batch 499], Speed: 35.182392 samples/sec, CrossEntropy=2.461862, SmoothL1=1.094428, accuracy=0.800140
[Epoch 28] Training cost: 453.744386, CrossEntropy=2.461744, SmoothL1=1.094423, accuracy=0.800161
[Epoch 28] Validation:
aeroplane=0.755762
bicycle=0.840299
bird=0.706144
boat=0.653081
bottle=0.477900
bus=0.808358
car=0.847214
cat=0.846474
chair=0.550129
cow=0.716361
diningtable=0.655286
dog=0.824418
horse=0.814528
motorbike=0.779953
person=0.778701
pottedplant=0.385535
sheep=0.704530
sofa=0.731090
train=0.808938
tvmonitor=0.727178
mAP=0.720594
[Epoch 29][Batch 99], Speed: 36.592666 samples/sec, CrossEntropy=2.417977, SmoothL1=1.075718, accuracy=0.803547
[Epoch 29][Batch 199], Speed: 37.774112 samples/sec, CrossEntropy=2.431557, SmoothL1=1.089155, accuracy=0.802741
[Epoch 29][Batch 299], Speed: 38.772459 samples/sec, CrossEntropy=2.451739, SmoothL1=1.094572, accuracy=0.801598
[Epoch 29][Batch 399], Speed: 36.793663 samples/sec, CrossEntropy=2.442835, SmoothL1=1.087585, accuracy=0.801872
[Epoch 29][Batch 499], Speed: 35.581133 samples/sec, CrossEntropy=2.446855, SmoothL1=1.088770, accuracy=0.801766
[Epoch 29] Training cost: 455.613019, CrossEntropy=2.448011, SmoothL1=1.090179, accuracy=0.801546
[Epoch 29] Validation:
aeroplane=0.786244
bicycle=0.812775
bird=0.751319
boat=0.591325
bottle=0.436989
bus=0.830176
car=0.850213
cat=0.855563
chair=0.567511
cow=0.757899
diningtable=0.669427
dog=0.803231
horse=0.829026
motorbike=0.800722
person=0.769851
pottedplant=0.396816
sheep=0.720213
sofa=0.698719
train=0.812708
tvmonitor=0.729966
mAP=0.723535
[Epoch 30][Batch 99], Speed: 38.440795 samples/sec, CrossEntropy=2.409962, SmoothL1=1.066609, accuracy=0.801670
[Epoch 30][Batch 199], Speed: 37.481835 samples/sec, CrossEntropy=2.429494, SmoothL1=1.078350, accuracy=0.801890
[Epoch 30][Batch 299], Speed: 37.274005 samples/sec, CrossEntropy=2.430514, SmoothL1=1.080711, accuracy=0.802125
[Epoch 30][Batch 399], Speed: 38.577647 samples/sec, CrossEntropy=2.434880, SmoothL1=1.082098, accuracy=0.802054
[Epoch 30][Batch 499], Speed: 36.372609 samples/sec, CrossEntropy=2.428376, SmoothL1=1.076349, accuracy=0.802625
[Epoch 30] Training cost: 454.558449, CrossEntropy=2.427858, SmoothL1=1.076322, accuracy=0.802541
[Epoch 30] Validation:
aeroplane=0.776754
bicycle=0.835250
bird=0.743391
boat=0.618928
bottle=0.467897
bus=0.810957
car=0.852133
cat=0.837489
chair=0.536556
cow=0.762084
diningtable=0.638751
dog=0.818510
horse=0.820900
motorbike=0.780485
person=0.772440
pottedplant=0.417110
sheep=0.710505
sofa=0.701235
train=0.792370
tvmonitor=0.698769
mAP=0.719626
[Epoch 31][Batch 99], Speed: 37.357916 samples/sec, CrossEntropy=2.375825, SmoothL1=1.037301, accuracy=0.803947
[Epoch 31][Batch 199], Speed: 40.112314 samples/sec, CrossEntropy=2.407304, SmoothL1=1.054829, accuracy=0.803273
[Epoch 31][Batch 299], Speed: 35.451644 samples/sec, CrossEntropy=2.409123, SmoothL1=1.058058, accuracy=0.803614
[Epoch 31][Batch 399], Speed: 39.678900 samples/sec, CrossEntropy=2.413999, SmoothL1=1.061155, accuracy=0.803281
[Epoch 31][Batch 499], Speed: 38.631989 samples/sec, CrossEntropy=2.422381, SmoothL1=1.064703, accuracy=0.803152
[Epoch 31] Training cost: 455.375800, CrossEntropy=2.420429, SmoothL1=1.063025, accuracy=0.803179
[Epoch 31] Validation:
aeroplane=0.760586
bicycle=0.833976
bird=0.704306
boat=0.615110
bottle=0.472924
bus=0.820302
car=0.856157
cat=0.847581
chair=0.554826
cow=0.726256
diningtable=0.675232
dog=0.797987
horse=0.811225
motorbike=0.798894
person=0.769503
pottedplant=0.433784
sheep=0.616452
sofa=0.716284
train=0.816493
tvmonitor=0.722189
mAP=0.717503
[Epoch 32][Batch 99], Speed: 35.453845 samples/sec, CrossEntropy=2.385274, SmoothL1=1.051615, accuracy=0.804229
[Epoch 32][Batch 199], Speed: 39.913940 samples/sec, CrossEntropy=2.397575, SmoothL1=1.054616, accuracy=0.804094
[Epoch 32][Batch 299], Speed: 36.686436 samples/sec, CrossEntropy=2.398259, SmoothL1=1.058341, accuracy=0.804560
[Epoch 32][Batch 399], Speed: 35.647644 samples/sec, CrossEntropy=2.408879, SmoothL1=1.067040, accuracy=0.803605
[Epoch 32][Batch 499], Speed: 36.839108 samples/sec, CrossEntropy=2.405466, SmoothL1=1.063421, accuracy=0.803809
[Epoch 32] Training cost: 454.932913, CrossEntropy=2.404308, SmoothL1=1.063891, accuracy=0.803886
[Epoch 32] Validation:
aeroplane=0.758858
bicycle=0.841337
bird=0.747601
boat=0.646311
bottle=0.486209
bus=0.816870
car=0.846964
cat=0.854968
chair=0.571614
cow=0.797112
diningtable=0.659957
dog=0.836089
horse=0.823450
motorbike=0.794975
person=0.772928
pottedplant=0.425347
sheep=0.725158
sofa=0.740152
train=0.819844
tvmonitor=0.725109
mAP=0.734543
[Epoch 33][Batch 99], Speed: 35.902491 samples/sec, CrossEntropy=2.405486, SmoothL1=1.073419, accuracy=0.804399
[Epoch 33][Batch 199], Speed: 38.234933 samples/sec, CrossEntropy=2.395471, SmoothL1=1.056113, accuracy=0.804641
[Epoch 33][Batch 299], Speed: 37.822290 samples/sec, CrossEntropy=2.396344, SmoothL1=1.046230, accuracy=0.803953
[Epoch 33][Batch 399], Speed: 39.495399 samples/sec, CrossEntropy=2.394874, SmoothL1=1.050881, accuracy=0.803948
[Epoch 33][Batch 499], Speed: 38.745842 samples/sec, CrossEntropy=2.398990, SmoothL1=1.054149, accuracy=0.803922
[Epoch 33] Training cost: 455.145796, CrossEntropy=2.397731, SmoothL1=1.053240, accuracy=0.803931
[Epoch 33] Validation:
aeroplane=0.773439
bicycle=0.828502
bird=0.740369
boat=0.643961
bottle=0.498311
bus=0.808529
car=0.853782
cat=0.845442
chair=0.547701
cow=0.773747
diningtable=0.667025
dog=0.834188
horse=0.825948
motorbike=0.788163
person=0.781595
pottedplant=0.445445
sheep=0.691265
sofa=0.742817
train=0.823016
tvmonitor=0.733438
mAP=0.732334
[Epoch 34][Batch 99], Speed: 33.601726 samples/sec, CrossEntropy=2.398187, SmoothL1=1.041080, accuracy=0.804528
[Epoch 34][Batch 199], Speed: 38.878075 samples/sec, CrossEntropy=2.386249, SmoothL1=1.051634, accuracy=0.804161
[Epoch 34][Batch 299], Speed: 35.315641 samples/sec, CrossEntropy=2.388285, SmoothL1=1.053443, accuracy=0.804013
[Epoch 34][Batch 399], Speed: 35.930950 samples/sec, CrossEntropy=2.391177, SmoothL1=1.055102, accuracy=0.804222
[Epoch 34][Batch 499], Speed: 38.525724 samples/sec, CrossEntropy=2.391605, SmoothL1=1.051991, accuracy=0.804332
[Epoch 34] Training cost: 454.984507, CrossEntropy=2.391430, SmoothL1=1.051637, accuracy=0.804257
[Epoch 34] Validation:
aeroplane=0.773583
bicycle=0.818772
bird=0.759208
boat=0.632895
bottle=0.468309
bus=0.813986
car=0.839593
cat=0.844744
chair=0.572218
cow=0.778758
diningtable=0.627783
dog=0.821082
horse=0.826589
motorbike=0.784577
person=0.773175
pottedplant=0.439134
sheep=0.717187
sofa=0.724524
train=0.822146
tvmonitor=0.748158
mAP=0.729321
[Epoch 35][Batch 99], Speed: 39.797082 samples/sec, CrossEntropy=2.316437, SmoothL1=1.040309, accuracy=0.807466
[Epoch 35][Batch 199], Speed: 34.586591 samples/sec, CrossEntropy=2.326479, SmoothL1=1.038795, accuracy=0.807064
[Epoch 35][Batch 299], Speed: 37.285001 samples/sec, CrossEntropy=2.334007, SmoothL1=1.038063, accuracy=0.806709
[Epoch 35][Batch 399], Speed: 37.902567 samples/sec, CrossEntropy=2.349868, SmoothL1=1.042527, accuracy=0.806200
[Epoch 35][Batch 499], Speed: 39.607532 samples/sec, CrossEntropy=2.355697, SmoothL1=1.043176, accuracy=0.806191
[Epoch 35] Training cost: 455.770186, CrossEntropy=2.358085, SmoothL1=1.042587, accuracy=0.806080
[Epoch 35] Validation:
aeroplane=0.763381
bicycle=0.861097
bird=0.763226
boat=0.623225
bottle=0.460533
bus=0.802289
car=0.847250
cat=0.861878
chair=0.564795
cow=0.707370
diningtable=0.675372
dog=0.829465
horse=0.793451
motorbike=0.810132
person=0.778319
pottedplant=0.420399
sheep=0.727866
sofa=0.719742
train=0.796098
tvmonitor=0.736754
mAP=0.727132
[Epoch 36][Batch 99], Speed: 38.645148 samples/sec, CrossEntropy=2.356474, SmoothL1=1.023057, accuracy=0.805011
[Epoch 36][Batch 199], Speed: 34.811068 samples/sec, CrossEntropy=2.362024, SmoothL1=1.038207, accuracy=0.805677
[Epoch 36][Batch 299], Speed: 39.643904 samples/sec, CrossEntropy=2.364458, SmoothL1=1.037943, accuracy=0.805800
[Epoch 36][Batch 399], Speed: 33.674853 samples/sec, CrossEntropy=2.363935, SmoothL1=1.035967, accuracy=0.805757
[Epoch 36][Batch 499], Speed: 36.619812 samples/sec, CrossEntropy=2.359318, SmoothL1=1.035993, accuracy=0.805921
[Epoch 36] Training cost: 455.769172, CrossEntropy=2.358262, SmoothL1=1.034531, accuracy=0.805972
[Epoch 36] Validation:
aeroplane=0.766024
bicycle=0.824002
bird=0.729407
boat=0.641814
bottle=0.483643
bus=0.830630
car=0.850489
cat=0.851308
chair=0.564620
cow=0.716740
diningtable=0.629065
dog=0.800765
horse=0.815662
motorbike=0.778570
person=0.769722
pottedplant=0.450552
sheep=0.692900
sofa=0.688177
train=0.801250
tvmonitor=0.742373
mAP=0.721386
[Epoch 37][Batch 99], Speed: 39.093514 samples/sec, CrossEntropy=2.337226, SmoothL1=1.029633, accuracy=0.807643
[Epoch 37][Batch 199], Speed: 38.299588 samples/sec, CrossEntropy=2.324367, SmoothL1=1.020216, accuracy=0.808685
[Epoch 37][Batch 299], Speed: 38.274621 samples/sec, CrossEntropy=2.344259, SmoothL1=1.026708, accuracy=0.807707
[Epoch 37][Batch 399], Speed: 38.944700 samples/sec, CrossEntropy=2.344442, SmoothL1=1.023841, accuracy=0.807579
[Epoch 37][Batch 499], Speed: 40.547962 samples/sec, CrossEntropy=2.348337, SmoothL1=1.029481, accuracy=0.807326
[Epoch 37] Training cost: 454.623882, CrossEntropy=2.348951, SmoothL1=1.028568, accuracy=0.807434
[Epoch 37] Validation:
aeroplane=0.761913
bicycle=0.838308
bird=0.734333
boat=0.645540
bottle=0.491569
bus=0.812416
car=0.855373
cat=0.855587
chair=0.577896
cow=0.792652
diningtable=0.671504
dog=0.830577
horse=0.846746
motorbike=0.817795
person=0.777361
pottedplant=0.410666
sheep=0.734157
sofa=0.754434
train=0.838706
tvmonitor=0.748074
mAP=0.739780
[Epoch 38][Batch 99], Speed: 37.745377 samples/sec, CrossEntropy=2.284027, SmoothL1=1.009200, accuracy=0.809182
[Epoch 38][Batch 199], Speed: 36.594133 samples/sec, CrossEntropy=2.291793, SmoothL1=1.012937, accuracy=0.808806
[Epoch 38][Batch 299], Speed: 37.729800 samples/sec, CrossEntropy=2.301693, SmoothL1=1.012716, accuracy=0.809005
[Epoch 38][Batch 399], Speed: 36.313328 samples/sec, CrossEntropy=2.316876, SmoothL1=1.019564, accuracy=0.808438
[Epoch 38][Batch 499], Speed: 36.993669 samples/sec, CrossEntropy=2.319457, SmoothL1=1.016024, accuracy=0.808309
[Epoch 38] Training cost: 453.637433, CrossEntropy=2.320669, SmoothL1=1.017531, accuracy=0.808292
[Epoch 38] Validation:
aeroplane=0.763851
bicycle=0.834735
bird=0.736838
boat=0.628338
bottle=0.494687
bus=0.827424
car=0.852739
cat=0.848866
chair=0.556544
cow=0.776314
diningtable=0.699304
dog=0.814126
horse=0.828879
motorbike=0.798993
person=0.785498
pottedplant=0.454836
sheep=0.724295
sofa=0.722964
train=0.831368
tvmonitor=0.727442
mAP=0.735402
[Epoch 39][Batch 99], Speed: 38.255235 samples/sec, CrossEntropy=2.357073, SmoothL1=1.015191, accuracy=0.808774
[Epoch 39][Batch 199], Speed: 35.095107 samples/sec, CrossEntropy=2.338135, SmoothL1=1.013503, accuracy=0.809668
[Epoch 39][Batch 299], Speed: 37.170108 samples/sec, CrossEntropy=2.331720, SmoothL1=1.016822, accuracy=0.808815
[Epoch 39][Batch 399], Speed: 39.061066 samples/sec, CrossEntropy=2.329997, SmoothL1=1.015804, accuracy=0.808761
[Epoch 39][Batch 499], Speed: 36.739167 samples/sec, CrossEntropy=2.327630, SmoothL1=1.013525, accuracy=0.808869
[Epoch 39] Training cost: 454.114912, CrossEntropy=2.328761, SmoothL1=1.014021, accuracy=0.808795
[Epoch 39] Validation:
aeroplane=0.754731
bicycle=0.816685
bird=0.702988
boat=0.657509
bottle=0.473526
bus=0.828043
car=0.843691
cat=0.838301
chair=0.571619
cow=0.783960
diningtable=0.615100
dog=0.820379
horse=0.823014
motorbike=0.786300
person=0.781965
pottedplant=0.424134
sheep=0.730904
sofa=0.706285
train=0.831010
tvmonitor=0.728867
mAP=0.725950
[Epoch 40][Batch 99], Speed: 36.872222 samples/sec, CrossEntropy=2.246697, SmoothL1=0.971765, accuracy=0.812131
[Epoch 40][Batch 199], Speed: 37.974352 samples/sec, CrossEntropy=2.262625, SmoothL1=0.979791, accuracy=0.811624
[Epoch 40][Batch 299], Speed: 38.725496 samples/sec, CrossEntropy=2.269455, SmoothL1=0.976689, accuracy=0.811757
[Epoch 40][Batch 399], Speed: 36.257589 samples/sec, CrossEntropy=2.287744, SmoothL1=0.983962, accuracy=0.810878
[Epoch 40][Batch 499], Speed: 37.315519 samples/sec, CrossEntropy=2.293600, SmoothL1=0.990044, accuracy=0.810442
[Epoch 40] Training cost: 453.071179, CrossEntropy=2.292299, SmoothL1=0.990218, accuracy=0.810470
[Epoch 40] Validation:
aeroplane=0.774909
bicycle=0.835556
bird=0.716467
boat=0.654824
bottle=0.499442
bus=0.832833
car=0.848037
cat=0.861609
chair=0.583516
cow=0.780018
diningtable=0.657954
dog=0.823211
horse=0.826133
motorbike=0.810408
person=0.784317
pottedplant=0.438434
sheep=0.712887
sofa=0.732547
train=0.847876
tvmonitor=0.749031
mAP=0.738500
[Epoch 41][Batch 99], Speed: 38.258474 samples/sec, CrossEntropy=2.285713, SmoothL1=0.995045, accuracy=0.811557
[Epoch 41][Batch 199], Speed: 39.462130 samples/sec, CrossEntropy=2.285245, SmoothL1=0.999345, accuracy=0.811333
[Epoch 41][Batch 299], Speed: 39.778823 samples/sec, CrossEntropy=2.288196, SmoothL1=1.004603, accuracy=0.810920
[Epoch 41][Batch 399], Speed: 38.634046 samples/sec, CrossEntropy=2.295919, SmoothL1=0.999966, accuracy=0.810347
[Epoch 41][Batch 499], Speed: 38.525724 samples/sec, CrossEntropy=2.296591, SmoothL1=1.001301, accuracy=0.810159
[Epoch 41] Training cost: 453.900637, CrossEntropy=2.296768, SmoothL1=1.000619, accuracy=0.810183
[Epoch 41] Validation:
aeroplane=0.783921
bicycle=0.836497
bird=0.738104
boat=0.659451
bottle=0.443060
bus=0.834730
car=0.853102
cat=0.865476
chair=0.551699
cow=0.803894
diningtable=0.704374
dog=0.841048
horse=0.823324
motorbike=0.808763
person=0.773283
pottedplant=0.448585
sheep=0.719183
sofa=0.706623
train=0.841149
tvmonitor=0.765579
mAP=0.740092
[Epoch 42][Batch 99], Speed: 37.198654 samples/sec, CrossEntropy=2.238311, SmoothL1=0.993731, accuracy=0.812460
[Epoch 42][Batch 199], Speed: 35.117411 samples/sec, CrossEntropy=2.256980, SmoothL1=0.993862, accuracy=0.811929
[Epoch 42][Batch 299], Speed: 37.003245 samples/sec, CrossEntropy=2.264412, SmoothL1=0.992362, accuracy=0.811458
[Epoch 42][Batch 399], Speed: 34.589247 samples/sec, CrossEntropy=2.269253, SmoothL1=0.993799, accuracy=0.811274
[Epoch 42][Batch 499], Speed: 34.803269 samples/sec, CrossEntropy=2.273285, SmoothL1=0.995674, accuracy=0.811144
[Epoch 42] Training cost: 454.059357, CrossEntropy=2.274145, SmoothL1=0.995363, accuracy=0.811123
[Epoch 42] Validation:
aeroplane=0.771351
bicycle=0.844740
bird=0.738032
boat=0.664668
bottle=0.466232
bus=0.840239
car=0.860404
cat=0.866678
chair=0.585436
cow=0.781419
diningtable=0.670893
dog=0.835750
horse=0.825222
motorbike=0.808387
person=0.769704
pottedplant=0.361935
sheep=0.722995
sofa=0.747457
train=0.832650
tvmonitor=0.724073
mAP=0.735913
[Epoch 43][Batch 99], Speed: 39.910249 samples/sec, CrossEntropy=2.251146, SmoothL1=0.983103, accuracy=0.812164
[Epoch 43][Batch 199], Speed: 37.560273 samples/sec, CrossEntropy=2.274450, SmoothL1=0.988028, accuracy=0.811657
[Epoch 43][Batch 299], Speed: 37.486389 samples/sec, CrossEntropy=2.276744, SmoothL1=0.995182, accuracy=0.811473
[Epoch 43][Batch 399], Speed: 37.739327 samples/sec, CrossEntropy=2.274253, SmoothL1=0.995688, accuracy=0.811370
[Epoch 43][Batch 499], Speed: 39.747500 samples/sec, CrossEntropy=2.272284, SmoothL1=0.993223, accuracy=0.811606
[Epoch 43] Training cost: 454.407798, CrossEntropy=2.269951, SmoothL1=0.991289, accuracy=0.811789
[Epoch 43] Validation:
aeroplane=0.780393
bicycle=0.822186
bird=0.734831
boat=0.661007
bottle=0.519432
bus=0.827534
car=0.855997
cat=0.838157
chair=0.555605
cow=0.802030
diningtable=0.641629
dog=0.820530
horse=0.833355
motorbike=0.795186
person=0.770712
pottedplant=0.436621
sheep=0.717113
sofa=0.702423
train=0.812705
tvmonitor=0.738036
mAP=0.733274
[Epoch 44][Batch 99], Speed: 36.082401 samples/sec, CrossEntropy=2.285710, SmoothL1=1.007869, accuracy=0.810953
[Epoch 44][Batch 199], Speed: 35.954657 samples/sec, CrossEntropy=2.281847, SmoothL1=0.996842, accuracy=0.812149
[Epoch 44][Batch 299], Speed: 38.454375 samples/sec, CrossEntropy=2.269132, SmoothL1=0.986098, accuracy=0.812611
[Epoch 44][Batch 399], Speed: 37.809014 samples/sec, CrossEntropy=2.262483, SmoothL1=0.981682, accuracy=0.813045
[Epoch 44][Batch 499], Speed: 37.008806 samples/sec, CrossEntropy=2.257277, SmoothL1=0.982619, accuracy=0.813196
[Epoch 44] Training cost: 453.295088, CrossEntropy=2.258009, SmoothL1=0.983004, accuracy=0.813138
[Epoch 44] Validation:
aeroplane=0.782035
bicycle=0.849631
bird=0.712873
boat=0.624633
bottle=0.507169
bus=0.833176
car=0.863445
cat=0.863230
chair=0.553235
cow=0.754024
diningtable=0.715545
dog=0.816507
horse=0.808922
motorbike=0.813044
person=0.781934
pottedplant=0.441299
sheep=0.720532
sofa=0.703158
train=0.846945
tvmonitor=0.756765
mAP=0.737405
[Epoch 45][Batch 99], Speed: 36.821523 samples/sec, CrossEntropy=2.222553, SmoothL1=0.969825, accuracy=0.814650
[Epoch 45][Batch 199], Speed: 38.991856 samples/sec, CrossEntropy=2.238660, SmoothL1=0.978928, accuracy=0.814018
[Epoch 45][Batch 299], Speed: 39.958691 samples/sec, CrossEntropy=2.251362, SmoothL1=0.979858, accuracy=0.812875
[Epoch 45][Batch 399], Speed: 34.144987 samples/sec, CrossEntropy=2.250039, SmoothL1=0.980831, accuracy=0.812703
[Epoch 45][Batch 499], Speed: 37.405684 samples/sec, CrossEntropy=2.250803, SmoothL1=0.980340, accuracy=0.812631
[Epoch 45] Training cost: 453.899804, CrossEntropy=2.249436, SmoothL1=0.980045, accuracy=0.812767
[Epoch 45] Validation:
aeroplane=0.777172
bicycle=0.840341
bird=0.687016
boat=0.663225
bottle=0.470644
bus=0.837909
car=0.858009
cat=0.841835
chair=0.553972
cow=0.802110
diningtable=0.724973
dog=0.829876
horse=0.841500
motorbike=0.809761
person=0.776936
pottedplant=0.453140
sheep=0.738792
sofa=0.756823
train=0.836089
tvmonitor=0.747431
mAP=0.742378
[Epoch 46][Batch 99], Speed: 36.150674 samples/sec, CrossEntropy=2.215181, SmoothL1=0.975868, accuracy=0.813725
[Epoch 46][Batch 199], Speed: 38.209005 samples/sec, CrossEntropy=2.238711, SmoothL1=0.982109, accuracy=0.813222
[Epoch 46][Batch 299], Speed: 35.272827 samples/sec, CrossEntropy=2.235573, SmoothL1=0.974749, accuracy=0.813742
[Epoch 46][Batch 399], Speed: 38.724323 samples/sec, CrossEntropy=2.240656, SmoothL1=0.976992, accuracy=0.813437
[Epoch 46][Batch 499], Speed: 39.395667 samples/sec, CrossEntropy=2.250843, SmoothL1=0.980370, accuracy=0.812774
[Epoch 46] Training cost: 453.246631, CrossEntropy=2.249336, SmoothL1=0.978094, accuracy=0.812924
[Epoch 46] Validation:
aeroplane=0.789152
bicycle=0.844897
bird=0.764448
boat=0.660825
bottle=0.459678
bus=0.837981
car=0.852974
cat=0.858427
chair=0.543372
cow=0.807750
diningtable=0.716059
dog=0.813268
horse=0.837766
motorbike=0.804495
person=0.779356
pottedplant=0.417236
sheep=0.727141
sofa=0.681275
train=0.832148
tvmonitor=0.723757
mAP=0.737600
[Epoch 47][Batch 99], Speed: 36.976699 samples/sec, CrossEntropy=2.236610, SmoothL1=0.958771, accuracy=0.814577
[Epoch 47][Batch 199], Speed: 37.719960 samples/sec, CrossEntropy=2.216455, SmoothL1=0.957089, accuracy=0.815614
[Epoch 47][Batch 299], Speed: 38.982649 samples/sec, CrossEntropy=2.214796, SmoothL1=0.960120, accuracy=0.815215
[Epoch 47][Batch 399], Speed: 37.299176 samples/sec, CrossEntropy=2.221501, SmoothL1=0.963956, accuracy=0.814837
[Epoch 47][Batch 499], Speed: 36.797678 samples/sec, CrossEntropy=2.223756, SmoothL1=0.966516, accuracy=0.814789
[Epoch 47] Training cost: 454.634102, CrossEntropy=2.223056, SmoothL1=0.966559, accuracy=0.814703
[Epoch 47] Validation:
aeroplane=0.779000
bicycle=0.848522
bird=0.756987
boat=0.688617
bottle=0.479853
bus=0.823978
car=0.861113
cat=0.834012
chair=0.556522
cow=0.797250
diningtable=0.729445
dog=0.824015
horse=0.829854
motorbike=0.802802
person=0.773516
pottedplant=0.402606
sheep=0.694807
sofa=0.753762
train=0.822627
tvmonitor=0.749297
mAP=0.740429
[Epoch 48][Batch 99], Speed: 36.531642 samples/sec, CrossEntropy=2.200436, SmoothL1=0.937346, accuracy=0.815216
[Epoch 48][Batch 199], Speed: 33.393268 samples/sec, CrossEntropy=2.197884, SmoothL1=0.946682, accuracy=0.815758
[Epoch 48][Batch 299], Speed: 37.675289 samples/sec, CrossEntropy=2.202396, SmoothL1=0.952649, accuracy=0.815559
[Epoch 48][Batch 399], Speed: 38.222106 samples/sec, CrossEntropy=2.207604, SmoothL1=0.957037, accuracy=0.815350
[Epoch 48][Batch 499], Speed: 37.782629 samples/sec, CrossEntropy=2.212266, SmoothL1=0.955098, accuracy=0.815597
[Epoch 48] Training cost: 453.887030, CrossEntropy=2.213714, SmoothL1=0.956921, accuracy=0.815451
[Epoch 48] Validation:
aeroplane=0.783404
bicycle=0.845767
bird=0.711213
boat=0.673055
bottle=0.484336
bus=0.840816
car=0.859283
cat=0.866670
chair=0.570099
cow=0.794395
diningtable=0.675682
dog=0.819361
horse=0.830458
motorbike=0.811038
person=0.777635
pottedplant=0.448463
sheep=0.739290
sofa=0.736238
train=0.840820
tvmonitor=0.755474
mAP=0.743175
[Epoch 49][Batch 99], Speed: 37.878521 samples/sec, CrossEntropy=2.197069, SmoothL1=0.935083, accuracy=0.816102
[Epoch 49][Batch 199], Speed: 37.059389 samples/sec, CrossEntropy=2.199429, SmoothL1=0.955376, accuracy=0.815896
[Epoch 49][Batch 299], Speed: 37.274450 samples/sec, CrossEntropy=2.201391, SmoothL1=0.956520, accuracy=0.816068
[Epoch 49][Batch 399], Speed: 39.846232 samples/sec, CrossEntropy=2.201893, SmoothL1=0.956408, accuracy=0.816138
[Epoch 49][Batch 499], Speed: 40.180906 samples/sec, CrossEntropy=2.206016, SmoothL1=0.958158, accuracy=0.815879
[Epoch 49] Training cost: 454.689483, CrossEntropy=2.203313, SmoothL1=0.956507, accuracy=0.816008
[Epoch 49] Validation:
aeroplane=0.785572
bicycle=0.833549
bird=0.752128
boat=0.662913
bottle=0.511874
bus=0.847561
car=0.860487
cat=0.846328
chair=0.577037
cow=0.794986
diningtable=0.713380
dog=0.820345
horse=0.849209
motorbike=0.788358
person=0.790516
pottedplant=0.447339
sheep=0.702934
sofa=0.746187
train=0.842132
tvmonitor=0.766885
mAP=0.746986
[Epoch 50][Batch 99], Speed: 38.139918 samples/sec, CrossEntropy=2.221284, SmoothL1=0.948101, accuracy=0.816256
[Epoch 50][Batch 199], Speed: 39.051292 samples/sec, CrossEntropy=2.211733, SmoothL1=0.950402, accuracy=0.816756
[Epoch 50][Batch 299], Speed: 34.682973 samples/sec, CrossEntropy=2.217553, SmoothL1=0.956153, accuracy=0.816322
[Epoch 50][Batch 399], Speed: 38.941943 samples/sec, CrossEntropy=2.211150, SmoothL1=0.952910, accuracy=0.816507
[Epoch 50][Batch 499], Speed: 37.422131 samples/sec, CrossEntropy=2.211329, SmoothL1=0.953921, accuracy=0.816389
[Epoch 50] Training cost: 454.368267, CrossEntropy=2.209163, SmoothL1=0.953031, accuracy=0.816300
[Epoch 50] Validation:
aeroplane=0.771279
bicycle=0.845444
bird=0.770139
boat=0.658978
bottle=0.544055
bus=0.830877
car=0.865641
cat=0.845438
chair=0.584212
cow=0.802711
diningtable=0.716549
dog=0.834942
horse=0.840057
motorbike=0.797890
person=0.791691
pottedplant=0.447430
sheep=0.725787
sofa=0.758658
train=0.827426
tvmonitor=0.739742
mAP=0.749947
[Epoch 51][Batch 99], Speed: 40.466677 samples/sec, CrossEntropy=2.184984, SmoothL1=0.923776, accuracy=0.817781
[Epoch 51][Batch 199], Speed: 37.374613 samples/sec, CrossEntropy=2.189253, SmoothL1=0.926920, accuracy=0.817346
[Epoch 51][Batch 299], Speed: 37.128444 samples/sec, CrossEntropy=2.190807, SmoothL1=0.937714, accuracy=0.817046
[Epoch 51][Batch 399], Speed: 37.283003 samples/sec, CrossEntropy=2.196301, SmoothL1=0.942931, accuracy=0.816593
[Epoch 51][Batch 499], Speed: 37.291652 samples/sec, CrossEntropy=2.193868, SmoothL1=0.942790, accuracy=0.816638
[Epoch 51] Training cost: 451.729874, CrossEntropy=2.193981, SmoothL1=0.942978, accuracy=0.816694
[Epoch 51] Validation:
aeroplane=0.773561
bicycle=0.836849
bird=0.765378
boat=0.654337
bottle=0.530573
bus=0.822981
car=0.855140
cat=0.813729
chair=0.572990
cow=0.785807
diningtable=0.722210
dog=0.805034
horse=0.853548
motorbike=0.809374
person=0.790943
pottedplant=0.439230
sheep=0.695780
sofa=0.756880
train=0.832554
tvmonitor=0.753999
mAP=0.743545
[Epoch 52][Batch 99], Speed: 36.546493 samples/sec, CrossEntropy=2.187308, SmoothL1=0.937050, accuracy=0.818149
[Epoch 52][Batch 199], Speed: 36.437009 samples/sec, CrossEntropy=2.196564, SmoothL1=0.942891, accuracy=0.817290
[Epoch 52][Batch 299], Speed: 37.294170 samples/sec, CrossEntropy=2.178245, SmoothL1=0.934314, accuracy=0.817489
[Epoch 52][Batch 399], Speed: 38.323986 samples/sec, CrossEntropy=2.180813, SmoothL1=0.935860, accuracy=0.817627
[Epoch 52][Batch 499], Speed: 40.128768 samples/sec, CrossEntropy=2.189482, SmoothL1=0.938389, accuracy=0.817215
[Epoch 52] Training cost: 453.215935, CrossEntropy=2.189676, SmoothL1=0.938761, accuracy=0.817188
[Epoch 52] Validation:
aeroplane=0.806124
bicycle=0.855376
bird=0.770431
boat=0.630836
bottle=0.505131
bus=0.828261
car=0.867876
cat=0.859556
chair=0.568887
cow=0.805063
diningtable=0.692348
dog=0.823601
horse=0.843083
motorbike=0.781946
person=0.793175
pottedplant=0.464163
sheep=0.721054
sofa=0.766403
train=0.827489
tvmonitor=0.746397
mAP=0.747860
[Epoch 53][Batch 99], Speed: 34.293447 samples/sec, CrossEntropy=2.146308, SmoothL1=0.933969, accuracy=0.819329
[Epoch 53][Batch 199], Speed: 37.708589 samples/sec, CrossEntropy=2.165775, SmoothL1=0.938471, accuracy=0.818671
[Epoch 53][Batch 299], Speed: 39.313484 samples/sec, CrossEntropy=2.170545, SmoothL1=0.936187, accuracy=0.818167
[Epoch 53][Batch 399], Speed: 37.499355 samples/sec, CrossEntropy=2.170894, SmoothL1=0.935350, accuracy=0.818043
[Epoch 53][Batch 499], Speed: 39.781158 samples/sec, CrossEntropy=2.176461, SmoothL1=0.936837, accuracy=0.817777
[Epoch 53] Training cost: 453.129268, CrossEntropy=2.175581, SmoothL1=0.935115, accuracy=0.817871
[Epoch 53] Validation:
aeroplane=0.797041
bicycle=0.820403
bird=0.727430
boat=0.656140
bottle=0.521784
bus=0.831734
car=0.861279
cat=0.859351
chair=0.578006
cow=0.756092
diningtable=0.665527
dog=0.828527
horse=0.836172
motorbike=0.781542
person=0.777252
pottedplant=0.425815
sheep=0.720948
sofa=0.694198
train=0.841535
tvmonitor=0.762523
mAP=0.737165
[Epoch 54][Batch 99], Speed: 36.807164 samples/sec, CrossEntropy=2.110769, SmoothL1=0.913580, accuracy=0.820841
[Epoch 54][Batch 199], Speed: 36.202119 samples/sec, CrossEntropy=2.129112, SmoothL1=0.918816, accuracy=0.820729
[Epoch 54][Batch 299], Speed: 38.022310 samples/sec, CrossEntropy=2.137844, SmoothL1=0.923528, accuracy=0.820389
[Epoch 54][Batch 399], Speed: 33.924000 samples/sec, CrossEntropy=2.158287, SmoothL1=0.928104, accuracy=0.819479
[Epoch 54][Batch 499], Speed: 38.257743 samples/sec, CrossEntropy=2.162458, SmoothL1=0.929360, accuracy=0.819334
[Epoch 54] Training cost: 454.446020, CrossEntropy=2.163643, SmoothL1=0.930120, accuracy=0.819249
[Epoch 54] Validation:
aeroplane=0.775334
bicycle=0.850327
bird=0.739057
boat=0.610545
bottle=0.525194
bus=0.846080
car=0.853183
cat=0.864891
chair=0.560182
cow=0.791504
diningtable=0.709151
dog=0.831436
horse=0.839632
motorbike=0.826214
person=0.775096
pottedplant=0.431894
sheep=0.741379
sofa=0.753639
train=0.837416
tvmonitor=0.743539
mAP=0.745285
[Epoch 55][Batch 99], Speed: 36.199297 samples/sec, CrossEntropy=2.148269, SmoothL1=0.927842, accuracy=0.820283
[Epoch 55][Batch 199], Speed: 40.165840 samples/sec, CrossEntropy=2.148409, SmoothL1=0.925105, accuracy=0.819451
[Epoch 55][Batch 299], Speed: 33.695744 samples/sec, CrossEntropy=2.151581, SmoothL1=0.923612, accuracy=0.819292
[Epoch 55][Batch 399], Speed: 34.467493 samples/sec, CrossEntropy=2.150734, SmoothL1=0.926308, accuracy=0.819164
[Epoch 55][Batch 499], Speed: 36.639436 samples/sec, CrossEntropy=2.149629, SmoothL1=0.920973, accuracy=0.819326
[Epoch 55] Training cost: 452.045534, CrossEntropy=2.150376, SmoothL1=0.920597, accuracy=0.819360
[Epoch 55] Validation:
aeroplane=0.788350
bicycle=0.830949
bird=0.747791
boat=0.664837
bottle=0.485172
bus=0.833127
car=0.856147
cat=0.857710
chair=0.555091
cow=0.802704
diningtable=0.708813
dog=0.817535
horse=0.832185
motorbike=0.803691
person=0.791713
pottedplant=0.476548
sheep=0.743183
sofa=0.730603
train=0.851751
tvmonitor=0.736509
mAP=0.745720
[Epoch 56][Batch 99], Speed: 38.569410 samples/sec, CrossEntropy=2.100910, SmoothL1=0.894727, accuracy=0.822851
[Epoch 56][Batch 199], Speed: 38.607064 samples/sec, CrossEntropy=2.099629, SmoothL1=0.900665, accuracy=0.822908
[Epoch 56][Batch 299], Speed: 37.587369 samples/sec, CrossEntropy=2.107605, SmoothL1=0.911455, accuracy=0.821734
[Epoch 56][Batch 399], Speed: 39.291479 samples/sec, CrossEntropy=2.123570, SmoothL1=0.916952, accuracy=0.820907
[Epoch 56][Batch 499], Speed: 40.293185 samples/sec, CrossEntropy=2.125168, SmoothL1=0.913500, accuracy=0.821048
[Epoch 56] Training cost: 453.119118, CrossEntropy=2.127134, SmoothL1=0.913117, accuracy=0.820960
[Epoch 56] Validation:
aeroplane=0.793727
bicycle=0.844856
bird=0.765627
boat=0.682238
bottle=0.451608
bus=0.837343
car=0.861606
cat=0.861445
chair=0.580734
cow=0.826068
diningtable=0.705104
dog=0.850083
horse=0.845766
motorbike=0.804768
person=0.792353
pottedplant=0.516090
sheep=0.739585
sofa=0.775384
train=0.848347
tvmonitor=0.739320
mAP=0.756103
[Epoch 57][Batch 99], Speed: 37.530099 samples/sec, CrossEntropy=2.147508, SmoothL1=0.921236, accuracy=0.820389
[Epoch 57][Batch 199], Speed: 40.310345 samples/sec, CrossEntropy=2.142597, SmoothL1=0.921060, accuracy=0.820424
[Epoch 57][Batch 299], Speed: 39.522613 samples/sec, CrossEntropy=2.129762, SmoothL1=0.913522, accuracy=0.821387
[Epoch 57][Batch 399], Speed: 38.345118 samples/sec, CrossEntropy=2.137043, SmoothL1=0.911392, accuracy=0.820757
[Epoch 57][Batch 499], Speed: 39.009025 samples/sec, CrossEntropy=2.139787, SmoothL1=0.911913, accuracy=0.820482
[Epoch 57] Training cost: 454.260217, CrossEntropy=2.140158, SmoothL1=0.911679, accuracy=0.820472
[Epoch 57] Validation:
aeroplane=0.810363
bicycle=0.864528
bird=0.735775
boat=0.661850
bottle=0.527813
bus=0.852558
car=0.858269
cat=0.860952
chair=0.577873
cow=0.805536
diningtable=0.657947
dog=0.834005
horse=0.858494
motorbike=0.814362
person=0.787896
pottedplant=0.460226
sheep=0.732866
sofa=0.765445
train=0.845650
tvmonitor=0.770964
mAP=0.754169
[Epoch 58][Batch 99], Speed: 36.762684 samples/sec, CrossEntropy=2.076687, SmoothL1=0.891978, accuracy=0.824724
[Epoch 58][Batch 199], Speed: 38.813945 samples/sec, CrossEntropy=2.102191, SmoothL1=0.907636, accuracy=0.822915
[Epoch 58][Batch 299], Speed: 38.225198 samples/sec, CrossEntropy=2.109154, SmoothL1=0.906630, accuracy=0.822848
[Epoch 58][Batch 399], Speed: 38.085178 samples/sec, CrossEntropy=2.117923, SmoothL1=0.907134, accuracy=0.822110
[Epoch 58][Batch 499], Speed: 39.721750 samples/sec, CrossEntropy=2.120285, SmoothL1=0.908165, accuracy=0.821929
[Epoch 58] Training cost: 453.659297, CrossEntropy=2.122214, SmoothL1=0.909156, accuracy=0.821818
[Epoch 58] Validation:
aeroplane=0.794515
bicycle=0.852138
bird=0.740138
boat=0.660073
bottle=0.462692
bus=0.842201
car=0.867475
cat=0.860753
chair=0.576061
cow=0.760567
diningtable=0.724798
dog=0.831651
horse=0.832683
motorbike=0.803009
person=0.783155
pottedplant=0.438108
sheep=0.709635
sofa=0.751674
train=0.838308
tvmonitor=0.762813
mAP=0.744622
[Epoch 59][Batch 99], Speed: 37.368515 samples/sec, CrossEntropy=2.089665, SmoothL1=0.900881, accuracy=0.823274
[Epoch 59][Batch 199], Speed: 37.985271 samples/sec, CrossEntropy=2.099378, SmoothL1=0.912420, accuracy=0.822238
[Epoch 59][Batch 299], Speed: 39.085784 samples/sec, CrossEntropy=2.106836, SmoothL1=0.905536, accuracy=0.822025
[Epoch 59][Batch 399], Speed: 35.316347 samples/sec, CrossEntropy=2.118504, SmoothL1=0.908186, accuracy=0.821488
[Epoch 59][Batch 499], Speed: 38.283289 samples/sec, CrossEntropy=2.109307, SmoothL1=0.904479, accuracy=0.822009
[Epoch 59] Training cost: 454.921509, CrossEntropy=2.108178, SmoothL1=0.903761, accuracy=0.822093
[Epoch 59] Validation:
aeroplane=0.798587
bicycle=0.843206
bird=0.747567
boat=0.638823
bottle=0.521979
bus=0.845893
car=0.865365
cat=0.864955
chair=0.571249
cow=0.816908
diningtable=0.689962
dog=0.840484
horse=0.840903
motorbike=0.810982
person=0.789421
pottedplant=0.426013
sheep=0.743111
sofa=0.757447
train=0.838333
tvmonitor=0.740649
mAP=0.749592
[Epoch 60][Batch 99], Speed: 37.561555 samples/sec, CrossEntropy=2.086202, SmoothL1=0.890443, accuracy=0.824177
[Epoch 60][Batch 199], Speed: 38.969361 samples/sec, CrossEntropy=2.098834, SmoothL1=0.898725, accuracy=0.823459
[Epoch 60][Batch 299], Speed: 37.360006 samples/sec, CrossEntropy=2.097532, SmoothL1=0.900988, accuracy=0.823695
[Epoch 60][Batch 399], Speed: 38.586342 samples/sec, CrossEntropy=2.106944, SmoothL1=0.904714, accuracy=0.823044
[Epoch 60][Batch 499], Speed: 37.979306 samples/sec, CrossEntropy=2.115347, SmoothL1=0.904830, accuracy=0.822475
[Epoch 60] Training cost: 452.675158, CrossEntropy=2.114967, SmoothL1=0.901819, accuracy=0.822545
[Epoch 60] Validation:
aeroplane=0.770850
bicycle=0.854386
bird=0.734957
boat=0.667658
bottle=0.491670
bus=0.840263
car=0.853333
cat=0.848553
chair=0.586255
cow=0.764577
diningtable=0.649915
dog=0.839307
horse=0.802463
motorbike=0.809241
person=0.790437
pottedplant=0.449532
sheep=0.728878
sofa=0.745197
train=0.819964
tvmonitor=0.757694
mAP=0.740256
[Epoch 61][Batch 99], Speed: 35.822192 samples/sec, CrossEntropy=2.103128, SmoothL1=0.899415, accuracy=0.820997
[Epoch 61][Batch 199], Speed: 36.512293 samples/sec, CrossEntropy=2.127300, SmoothL1=0.913376, accuracy=0.820535
[Epoch 61][Batch 299], Speed: 38.129105 samples/sec, CrossEntropy=2.121679, SmoothL1=0.908170, accuracy=0.821487
[Epoch 61][Batch 399], Speed: 38.091609 samples/sec, CrossEntropy=2.116120, SmoothL1=0.903749, accuracy=0.821672
[Epoch 61][Batch 499], Speed: 39.217750 samples/sec, CrossEntropy=2.109767, SmoothL1=0.898811, accuracy=0.822234
[Epoch 61] Training cost: 453.588840, CrossEntropy=2.108644, SmoothL1=0.897711, accuracy=0.822314
[Epoch 61] Validation:
aeroplane=0.770334
bicycle=0.860853
bird=0.778976
boat=0.669523
bottle=0.536529
bus=0.835406
car=0.859275
cat=0.868068
chair=0.588135
cow=0.809203
diningtable=0.708984
dog=0.840027
horse=0.848549
motorbike=0.810569
person=0.794623
pottedplant=0.478340
sheep=0.769375
sofa=0.767559
train=0.855517
tvmonitor=0.764198
mAP=0.760702
[Epoch 62][Batch 99], Speed: 39.426345 samples/sec, CrossEntropy=2.079949, SmoothL1=0.876957, accuracy=0.824010
[Epoch 62][Batch 199], Speed: 31.930518 samples/sec, CrossEntropy=2.088947, SmoothL1=0.890073, accuracy=0.823721
[Epoch 62][Batch 299], Speed: 36.383031 samples/sec, CrossEntropy=2.113452, SmoothL1=0.902912, accuracy=0.822326
[Epoch 62][Batch 399], Speed: 37.491582 samples/sec, CrossEntropy=2.108902, SmoothL1=0.898804, accuracy=0.822555
[Epoch 62][Batch 499], Speed: 37.344445 samples/sec, CrossEntropy=2.109334, SmoothL1=0.897682, accuracy=0.822628
[Epoch 62] Training cost: 453.792269, CrossEntropy=2.109930, SmoothL1=0.898052, accuracy=0.822497
[Epoch 62] Validation:
aeroplane=0.778880
bicycle=0.856927
bird=0.773191
boat=0.670686
bottle=0.508099
bus=0.853973
car=0.869119
cat=0.870749
chair=0.574719
cow=0.814953
diningtable=0.650424
dog=0.848286
horse=0.847104
motorbike=0.804742
person=0.788232
pottedplant=0.486173
sheep=0.758157
sofa=0.746413
train=0.839545
tvmonitor=0.749395
mAP=0.754488
[Epoch 63][Batch 99], Speed: 38.819367 samples/sec, CrossEntropy=2.072455, SmoothL1=0.889231, accuracy=0.823802
[Epoch 63][Batch 199], Speed: 38.189849 samples/sec, CrossEntropy=2.093499, SmoothL1=0.892229, accuracy=0.823843
[Epoch 63][Batch 299], Speed: 34.906491 samples/sec, CrossEntropy=2.094001, SmoothL1=0.893848, accuracy=0.823706
[Epoch 63][Batch 399], Speed: 38.892258 samples/sec, CrossEntropy=2.089870, SmoothL1=0.889489, accuracy=0.823732
[Epoch 63][Batch 499], Speed: 40.473181 samples/sec, CrossEntropy=2.089189, SmoothL1=0.888062, accuracy=0.823794
[Epoch 63] Training cost: 453.958410, CrossEntropy=2.090003, SmoothL1=0.888793, accuracy=0.823858
[Epoch 63] Validation:
aeroplane=0.797274
bicycle=0.851010
bird=0.777915
boat=0.705792
bottle=0.551719
bus=0.851713
car=0.863412
cat=0.858005
chair=0.593202
cow=0.802856
diningtable=0.707467
dog=0.830126
horse=0.830857
motorbike=0.825402
person=0.793217
pottedplant=0.467262
sheep=0.741104
sofa=0.756860
train=0.836739
tvmonitor=0.771747
mAP=0.760684
[Epoch 64][Batch 99], Speed: 35.816370 samples/sec, CrossEntropy=2.063561, SmoothL1=0.879150, accuracy=0.826071
[Epoch 64][Batch 199], Speed: 38.209952 samples/sec, CrossEntropy=2.079013, SmoothL1=0.891942, accuracy=0.825467
[Epoch 64][Batch 299], Speed: 38.138184 samples/sec, CrossEntropy=2.087055, SmoothL1=0.894844, accuracy=0.824745
[Epoch 64][Batch 399], Speed: 38.622251 samples/sec, CrossEntropy=2.086533, SmoothL1=0.891355, accuracy=0.824583
[Epoch 64][Batch 499], Speed: 38.868674 samples/sec, CrossEntropy=2.084302, SmoothL1=0.889836, accuracy=0.824323
[Epoch 64] Training cost: 452.642782, CrossEntropy=2.082107, SmoothL1=0.889437, accuracy=0.824416
[Epoch 64] Validation:
aeroplane=0.792990
bicycle=0.852198
bird=0.779068
boat=0.675595
bottle=0.522829
bus=0.852800
car=0.860165
cat=0.877179
chair=0.577289
cow=0.812060
diningtable=0.707488
dog=0.825380
horse=0.843590
motorbike=0.797931
person=0.783686
pottedplant=0.423272
sheep=0.753911
sofa=0.757132
train=0.828105
tvmonitor=0.779517
mAP=0.755109
[Epoch 65][Batch 99], Speed: 37.813115 samples/sec, CrossEntropy=2.032745, SmoothL1=0.864446, accuracy=0.827190
[Epoch 65][Batch 199], Speed: 38.503145 samples/sec, CrossEntropy=2.048366, SmoothL1=0.882016, accuracy=0.826288
[Epoch 65][Batch 299], Speed: 37.630681 samples/sec, CrossEntropy=2.063594, SmoothL1=0.885657, accuracy=0.825243
[Epoch 65][Batch 399], Speed: 35.592607 samples/sec, CrossEntropy=2.068583, SmoothL1=0.878612, accuracy=0.825190
[Epoch 65][Batch 499], Speed: 37.591064 samples/sec, CrossEntropy=2.071438, SmoothL1=0.880874, accuracy=0.825056
[Epoch 65] Training cost: 452.149236, CrossEntropy=2.070375, SmoothL1=0.880710, accuracy=0.825107
[Epoch 65] Validation:
aeroplane=0.805026
bicycle=0.846732
bird=0.770279
boat=0.672215
bottle=0.518135
bus=0.852901
car=0.871990
cat=0.870265
chair=0.582426
cow=0.797835
diningtable=0.696025
dog=0.837175
horse=0.851082
motorbike=0.822532
person=0.794709
pottedplant=0.497851
sheep=0.754851
sofa=0.735804
train=0.833497
tvmonitor=0.742370
mAP=0.757685
[Epoch 66][Batch 99], Speed: 36.471228 samples/sec, CrossEntropy=2.034989, SmoothL1=0.887561, accuracy=0.826301
[Epoch 66][Batch 199], Speed: 37.713665 samples/sec, CrossEntropy=2.039999, SmoothL1=0.881779, accuracy=0.826577
[Epoch 66][Batch 299], Speed: 35.672524 samples/sec, CrossEntropy=2.040204, SmoothL1=0.877353, accuracy=0.826478
[Epoch 66][Batch 399], Speed: 38.582715 samples/sec, CrossEntropy=2.052176, SmoothL1=0.877662, accuracy=0.826493
[Epoch 66][Batch 499], Speed: 38.575828 samples/sec, CrossEntropy=2.052838, SmoothL1=0.876773, accuracy=0.826465
[Epoch 66] Training cost: 453.375379, CrossEntropy=2.052832, SmoothL1=0.876781, accuracy=0.826516
[Epoch 66] Validation:
aeroplane=0.780185
bicycle=0.859900
bird=0.772522
boat=0.662021
bottle=0.515119
bus=0.828860
car=0.863566
cat=0.864284
chair=0.583398
cow=0.797434
diningtable=0.717109
dog=0.860471
horse=0.838135
motorbike=0.828144
person=0.793486
pottedplant=0.478978
sheep=0.766214
sofa=0.754205
train=0.846050
tvmonitor=0.754880
mAP=0.758248
[Epoch 67][Batch 99], Speed: 37.999015 samples/sec, CrossEntropy=2.025556, SmoothL1=0.855215, accuracy=0.828558
[Epoch 67][Batch 199], Speed: 36.494512 samples/sec, CrossEntropy=2.049384, SmoothL1=0.870150, accuracy=0.827043
[Epoch 67][Batch 299], Speed: 37.070208 samples/sec, CrossEntropy=2.054242, SmoothL1=0.872153, accuracy=0.826634
[Epoch 67][Batch 399], Speed: 37.732378 samples/sec, CrossEntropy=2.057689, SmoothL1=0.872108, accuracy=0.826236
[Epoch 67][Batch 499], Speed: 40.071321 samples/sec, CrossEntropy=2.060520, SmoothL1=0.870474, accuracy=0.826143
[Epoch 67] Training cost: 454.264830, CrossEntropy=2.059887, SmoothL1=0.870981, accuracy=0.826102
[Epoch 67] Validation:
aeroplane=0.785412
bicycle=0.838635
bird=0.778111
boat=0.666429
bottle=0.543642
bus=0.850435
car=0.862916
cat=0.874409
chair=0.593969
cow=0.831717
diningtable=0.720109
dog=0.842887
horse=0.832672
motorbike=0.800412
person=0.789378
pottedplant=0.448940
sheep=0.749383
sofa=0.736351
train=0.842758
tvmonitor=0.745216
mAP=0.756689
[Epoch 68][Batch 99], Speed: 35.557812 samples/sec, CrossEntropy=2.045269, SmoothL1=0.874255, accuracy=0.827753
[Epoch 68][Batch 199], Speed: 37.872065 samples/sec, CrossEntropy=2.048496, SmoothL1=0.875881, accuracy=0.826794
[Epoch 68][Batch 299], Speed: 38.453725 samples/sec, CrossEntropy=2.050373, SmoothL1=0.870937, accuracy=0.826632
[Epoch 68][Batch 399], Speed: 36.950090 samples/sec, CrossEntropy=2.051508, SmoothL1=0.872992, accuracy=0.826952
[Epoch 68][Batch 499], Speed: 39.336205 samples/sec, CrossEntropy=2.054076, SmoothL1=0.872121, accuracy=0.826731
[Epoch 68] Training cost: 454.545161, CrossEntropy=2.057148, SmoothL1=0.872391, accuracy=0.826667
[Epoch 68] Validation:
aeroplane=0.800784
bicycle=0.859499
bird=0.774843
boat=0.641911
bottle=0.502342
bus=0.851618
car=0.859922
cat=0.853385
chair=0.582498
cow=0.822293
diningtable=0.695578
dog=0.824401
horse=0.843251
motorbike=0.824954
person=0.786684
pottedplant=0.504664
sheep=0.747655
sofa=0.728255
train=0.837547
tvmonitor=0.756022
mAP=0.754905
[Epoch 69][Batch 99], Speed: 35.429035 samples/sec, CrossEntropy=2.029352, SmoothL1=0.863244, accuracy=0.828353
[Epoch 69][Batch 199], Speed: 35.015808 samples/sec, CrossEntropy=2.011539, SmoothL1=0.854994, accuracy=0.829399
[Epoch 69][Batch 299], Speed: 36.412168 samples/sec, CrossEntropy=2.018122, SmoothL1=0.863178, accuracy=0.828688
[Epoch 69][Batch 399], Speed: 37.796110 samples/sec, CrossEntropy=2.039460, SmoothL1=0.869955, accuracy=0.827085
[Epoch 69][Batch 499], Speed: 37.393710 samples/sec, CrossEntropy=2.044678, SmoothL1=0.871292, accuracy=0.826967
[Epoch 69] Training cost: 451.438840, CrossEntropy=2.043692, SmoothL1=0.869899, accuracy=0.826987
[Epoch 69] Validation:
aeroplane=0.784324
bicycle=0.854681
bird=0.749545
boat=0.654048
bottle=0.535402
bus=0.851716
car=0.862231
cat=0.863598
chair=0.595850
cow=0.801461
diningtable=0.717887
dog=0.831591
horse=0.845164
motorbike=0.833234
person=0.792076
pottedplant=0.503623
sheep=0.773738
sofa=0.742821
train=0.837475
tvmonitor=0.769802
mAP=0.760013
[Epoch 70][Batch 99], Speed: 37.736292 samples/sec, CrossEntropy=2.005853, SmoothL1=0.828162, accuracy=0.830618
[Epoch 70][Batch 199], Speed: 39.569827 samples/sec, CrossEntropy=2.009295, SmoothL1=0.853770, accuracy=0.829819
[Epoch 70][Batch 299], Speed: 38.483836 samples/sec, CrossEntropy=2.024518, SmoothL1=0.861110, accuracy=0.828272
[Epoch 70][Batch 399], Speed: 35.873674 samples/sec, CrossEntropy=2.030377, SmoothL1=0.859049, accuracy=0.828364
[Epoch 70][Batch 499], Speed: 38.464679 samples/sec, CrossEntropy=2.044160, SmoothL1=0.863159, accuracy=0.827615
[Epoch 70] Training cost: 453.187466, CrossEntropy=2.044563, SmoothL1=0.863294, accuracy=0.827526
[Epoch 70] Validation:
aeroplane=0.804510
bicycle=0.864168
bird=0.746742
boat=0.673485
bottle=0.548469
bus=0.848527
car=0.857024
cat=0.859987
chair=0.609244
cow=0.778092
diningtable=0.724065
dog=0.833595
horse=0.842726
motorbike=0.818582
person=0.794523
pottedplant=0.477087
sheep=0.753906
sofa=0.783498
train=0.837912
tvmonitor=0.768371
mAP=0.761226
[Epoch 71][Batch 99], Speed: 33.840878 samples/sec, CrossEntropy=2.020181, SmoothL1=0.843513, accuracy=0.828578
[Epoch 71][Batch 199], Speed: 34.797278 samples/sec, CrossEntropy=2.019297, SmoothL1=0.863093, accuracy=0.828590
[Epoch 71][Batch 299], Speed: 37.661810 samples/sec, CrossEntropy=2.023933, SmoothL1=0.861720, accuracy=0.828407
[Epoch 71][Batch 399], Speed: 40.193529 samples/sec, CrossEntropy=2.027454, SmoothL1=0.857328, accuracy=0.828515
[Epoch 71][Batch 499], Speed: 39.274314 samples/sec, CrossEntropy=2.035070, SmoothL1=0.862030, accuracy=0.828118
[Epoch 71] Training cost: 453.698468, CrossEntropy=2.037148, SmoothL1=0.864282, accuracy=0.828030
[Epoch 71] Validation:
aeroplane=0.774894
bicycle=0.846998
bird=0.779794
boat=0.647573
bottle=0.515474
bus=0.861936
car=0.862231
cat=0.857476
chair=0.591382
cow=0.810420
diningtable=0.691651
dog=0.836905
horse=0.837049
motorbike=0.812365
person=0.789634
pottedplant=0.468659
sheep=0.735360
sofa=0.766376
train=0.832287
tvmonitor=0.778266
mAP=0.754836
[Epoch 72][Batch 99], Speed: 37.277784 samples/sec, CrossEntropy=1.992392, SmoothL1=0.844338, accuracy=0.830497
[Epoch 72][Batch 199], Speed: 36.588407 samples/sec, CrossEntropy=2.005989, SmoothL1=0.852427, accuracy=0.829910
[Epoch 72][Batch 299], Speed: 36.928649 samples/sec, CrossEntropy=2.006940, SmoothL1=0.854300, accuracy=0.829706
[Epoch 72][Batch 399], Speed: 38.831373 samples/sec, CrossEntropy=2.016573, SmoothL1=0.857713, accuracy=0.829066
[Epoch 72][Batch 499], Speed: 29.845515 samples/sec, CrossEntropy=2.016950, SmoothL1=0.855353, accuracy=0.828925
[Epoch 72] Training cost: 454.152227, CrossEntropy=2.020164, SmoothL1=0.856735, accuracy=0.828658
[Epoch 72] Validation:
aeroplane=0.785272
bicycle=0.842643
bird=0.772022
boat=0.685107
bottle=0.542232
bus=0.850812
car=0.855866
cat=0.871236
chair=0.589955
cow=0.792003
diningtable=0.711088
dog=0.826116
horse=0.839278
motorbike=0.830117
person=0.800687
pottedplant=0.480381
sheep=0.755284
sofa=0.771550
train=0.842828
tvmonitor=0.754574
mAP=0.759953
[Epoch 73][Batch 99], Speed: 39.858254 samples/sec, CrossEntropy=1.997109, SmoothL1=0.856467, accuracy=0.832093
[Epoch 73][Batch 199], Speed: 39.109143 samples/sec, CrossEntropy=1.994572, SmoothL1=0.844165, accuracy=0.830943
[Epoch 73][Batch 299], Speed: 39.149046 samples/sec, CrossEntropy=2.008856, SmoothL1=0.852249, accuracy=0.830151
[Epoch 73][Batch 399], Speed: 36.301473 samples/sec, CrossEntropy=2.017053, SmoothL1=0.856426, accuracy=0.829451
[Epoch 73][Batch 499], Speed: 36.226098 samples/sec, CrossEntropy=2.020274, SmoothL1=0.855012, accuracy=0.829284
[Epoch 73] Training cost: 454.001462, CrossEntropy=2.021709, SmoothL1=0.855675, accuracy=0.829271
[Epoch 73] Validation:
aeroplane=0.810952
bicycle=0.853315
bird=0.789229
boat=0.672204
bottle=0.531515
bus=0.847317
car=0.867280
cat=0.879778
chair=0.585134
cow=0.825933
diningtable=0.730430
dog=0.846423
horse=0.843611
motorbike=0.826716
person=0.795412
pottedplant=0.469832
sheep=0.782420
sofa=0.773628
train=0.842039
tvmonitor=0.735165
mAP=0.765417
[Epoch 74][Batch 99], Speed: 39.530424 samples/sec, CrossEntropy=1.998857, SmoothL1=0.834875, accuracy=0.830710
[Epoch 74][Batch 199], Speed: 38.421956 samples/sec, CrossEntropy=1.999480, SmoothL1=0.847808, accuracy=0.830165
[Epoch 74][Batch 299], Speed: 36.105192 samples/sec, CrossEntropy=2.005752, SmoothL1=0.852350, accuracy=0.829822
[Epoch 74][Batch 399], Speed: 36.379717 samples/sec, CrossEntropy=2.013015, SmoothL1=0.858942, accuracy=0.829417
[Epoch 74][Batch 499], Speed: 40.331216 samples/sec, CrossEntropy=2.011753, SmoothL1=0.856863, accuracy=0.829431
[Epoch 74] Training cost: 453.551361, CrossEntropy=2.012742, SmoothL1=0.856815, accuracy=0.829479
[Epoch 74] Validation:
aeroplane=0.786856
bicycle=0.851887
bird=0.743767
boat=0.664913
bottle=0.495177
bus=0.832093
car=0.852253
cat=0.868460
chair=0.594607
cow=0.785316
diningtable=0.702861
dog=0.831207
horse=0.831886
motorbike=0.823076
person=0.785471
pottedplant=0.447130
sheep=0.736626
sofa=0.771064
train=0.840356
tvmonitor=0.754441
mAP=0.749972
[Epoch 75][Batch 99], Speed: 36.712777 samples/sec, CrossEntropy=1.980048, SmoothL1=0.825195, accuracy=0.829331
[Epoch 75][Batch 199], Speed: 37.229650 samples/sec, CrossEntropy=2.003825, SmoothL1=0.844844, accuracy=0.828806
[Epoch 75][Batch 299], Speed: 36.708188 samples/sec, CrossEntropy=1.996115, SmoothL1=0.840749, accuracy=0.829936
[Epoch 75][Batch 399], Speed: 31.894681 samples/sec, CrossEntropy=2.002348, SmoothL1=0.842033, accuracy=0.829520
[Epoch 75][Batch 499], Speed: 39.190187 samples/sec, CrossEntropy=2.011326, SmoothL1=0.847558, accuracy=0.829042
[Epoch 75] Training cost: 452.810939, CrossEntropy=2.013452, SmoothL1=0.848807, accuracy=0.828929
[Epoch 75] Validation:
aeroplane=0.783474
bicycle=0.843827
bird=0.749756
boat=0.668466
bottle=0.487517
bus=0.824137
car=0.861350
cat=0.867735
chair=0.587740
cow=0.804645
diningtable=0.715840
dog=0.843513
horse=0.842193
motorbike=0.817807
person=0.784458
pottedplant=0.473551
sheep=0.751983
sofa=0.733210
train=0.841026
tvmonitor=0.752870
mAP=0.751755
[Epoch 76][Batch 99], Speed: 36.001982 samples/sec, CrossEntropy=1.981397, SmoothL1=0.831366, accuracy=0.831497
[Epoch 76][Batch 199], Speed: 39.911246 samples/sec, CrossEntropy=1.986932, SmoothL1=0.835208, accuracy=0.831980
[Epoch 76][Batch 299], Speed: 38.974001 samples/sec, CrossEntropy=1.988581, SmoothL1=0.839285, accuracy=0.831419
[Epoch 76][Batch 399], Speed: 35.992347 samples/sec, CrossEntropy=1.994521, SmoothL1=0.841546, accuracy=0.831022
[Epoch 76][Batch 499], Speed: 36.703691 samples/sec, CrossEntropy=2.002628, SmoothL1=0.842479, accuracy=0.830421
[Epoch 76] Training cost: 449.052885, CrossEntropy=2.001716, SmoothL1=0.841025, accuracy=0.830459
[Epoch 76] Validation:
aeroplane=0.790752
bicycle=0.850645
bird=0.758681
boat=0.675907
bottle=0.522753
bus=0.843014
car=0.861854
cat=0.859376
chair=0.597380
cow=0.817805
diningtable=0.706817
dog=0.843437
horse=0.842225
motorbike=0.834000
person=0.789934
pottedplant=0.463835
sheep=0.762085
sofa=0.780013
train=0.833421
tvmonitor=0.763198
mAP=0.759857
[Epoch 77][Batch 99], Speed: 36.648280 samples/sec, CrossEntropy=1.980725, SmoothL1=0.828063, accuracy=0.833277
[Epoch 77][Batch 199], Speed: 38.973299 samples/sec, CrossEntropy=1.987903, SmoothL1=0.843575, accuracy=0.830949
[Epoch 77][Batch 299], Speed: 32.426140 samples/sec, CrossEntropy=1.984018, SmoothL1=0.836965, accuracy=0.831634
[Epoch 77][Batch 399], Speed: 32.832736 samples/sec, CrossEntropy=1.978786, SmoothL1=0.837472, accuracy=0.831716
[Epoch 77][Batch 499], Speed: 37.240393 samples/sec, CrossEntropy=1.984055, SmoothL1=0.838772, accuracy=0.831364
[Epoch 77] Training cost: 455.264253, CrossEntropy=1.986904, SmoothL1=0.839750, accuracy=0.831296
[Epoch 77] Validation:
aeroplane=0.801327
bicycle=0.854120
bird=0.754764
boat=0.662693
bottle=0.507655
bus=0.814313
car=0.861063
cat=0.873112
chair=0.605021
cow=0.816782
diningtable=0.703390
dog=0.848066
horse=0.853827
motorbike=0.831057
person=0.794135
pottedplant=0.474103
sheep=0.743682
sofa=0.782400
train=0.827208
tvmonitor=0.773730
mAP=0.759122
[Epoch 78][Batch 99], Speed: 38.840464 samples/sec, CrossEntropy=1.909663, SmoothL1=0.789445, accuracy=0.835890
[Epoch 78][Batch 199], Speed: 38.931009 samples/sec, CrossEntropy=1.953237, SmoothL1=0.821104, accuracy=0.832913
[Epoch 78][Batch 299], Speed: 36.648530 samples/sec, CrossEntropy=1.961515, SmoothL1=0.827484, accuracy=0.832582
[Epoch 78][Batch 399], Speed: 39.356183 samples/sec, CrossEntropy=1.978082, SmoothL1=0.832193, accuracy=0.831616
[Epoch 78][Batch 499], Speed: 37.199706 samples/sec, CrossEntropy=1.979154, SmoothL1=0.829249, accuracy=0.831621
[Epoch 78] Training cost: 453.177295, CrossEntropy=1.979429, SmoothL1=0.828478, accuracy=0.831617
[Epoch 78] Validation:
aeroplane=0.798157
bicycle=0.843215
bird=0.773341
boat=0.663886
bottle=0.538142
bus=0.839544
car=0.861673
cat=0.877168
chair=0.593446
cow=0.824427
diningtable=0.720959
dog=0.836215
horse=0.844504
motorbike=0.835566
person=0.795913
pottedplant=0.477967
sheep=0.765067
sofa=0.754423
train=0.837148
tvmonitor=0.762226
mAP=0.762149
[Epoch 79][Batch 99], Speed: 38.366996 samples/sec, CrossEntropy=1.952479, SmoothL1=0.805739, accuracy=0.834632
[Epoch 79][Batch 199], Speed: 37.445737 samples/sec, CrossEntropy=1.967840, SmoothL1=0.831243, accuracy=0.832855
[Epoch 79][Batch 299], Speed: 38.187111 samples/sec, CrossEntropy=1.957386, SmoothL1=0.828834, accuracy=0.833332
[Epoch 79][Batch 399], Speed: 36.963675 samples/sec, CrossEntropy=1.969779, SmoothL1=0.835187, accuracy=0.832724
[Epoch 79][Batch 499], Speed: 37.659813 samples/sec, CrossEntropy=1.972895, SmoothL1=0.836140, accuracy=0.832368
[Epoch 79] Training cost: 451.926861, CrossEntropy=1.976668, SmoothL1=0.836346, accuracy=0.832195
[Epoch 79] Validation:
aeroplane=0.795994
bicycle=0.833962
bird=0.751697
boat=0.665972
bottle=0.524002
bus=0.848501
car=0.862986
cat=0.863755
chair=0.593625
cow=0.814585
diningtable=0.701775
dog=0.854981
horse=0.823665
motorbike=0.818224
person=0.791584
pottedplant=0.479956
sheep=0.767912
sofa=0.779142
train=0.829152
tvmonitor=0.734647
mAP=0.756806
[Epoch 80][Batch 99], Speed: 38.661812 samples/sec, CrossEntropy=1.929893, SmoothL1=0.812111, accuracy=0.834001
[Epoch 80][Batch 199], Speed: 36.664328 samples/sec, CrossEntropy=1.944035, SmoothL1=0.814473, accuracy=0.834279
[Epoch 80][Batch 299], Speed: 38.796442 samples/sec, CrossEntropy=1.939612, SmoothL1=0.816510, accuracy=0.834894
[Epoch 80][Batch 399], Speed: 39.107376 samples/sec, CrossEntropy=1.944022, SmoothL1=0.816283, accuracy=0.834825
[Epoch 80][Batch 499], Speed: 37.903284 samples/sec, CrossEntropy=1.948259, SmoothL1=0.818280, accuracy=0.834558
[Epoch 80] Training cost: 462.487864, CrossEntropy=1.948468, SmoothL1=0.819777, accuracy=0.834438
[Epoch 80] Validation:
aeroplane=0.799195
bicycle=0.853702
bird=0.763304
boat=0.675727
bottle=0.524776
bus=0.849895
car=0.866677
cat=0.873594
chair=0.583070
cow=0.824429
diningtable=0.674446
dog=0.836066
horse=0.849599
motorbike=0.825824
person=0.795078
pottedplant=0.483269
sheep=0.746347
sofa=0.769922
train=0.844799
tvmonitor=0.773883
mAP=0.760680
[Epoch 81][Batch 99], Speed: 38.026651 samples/sec, CrossEntropy=1.954813, SmoothL1=0.811046, accuracy=0.835017
[Epoch 81][Batch 199], Speed: 38.848153 samples/sec, CrossEntropy=1.951104, SmoothL1=0.817125, accuracy=0.835371
[Epoch 81][Batch 299], Speed: 34.085051 samples/sec, CrossEntropy=1.946520, SmoothL1=0.819948, accuracy=0.835017
[Epoch 81][Batch 399], Speed: 39.372796 samples/sec, CrossEntropy=1.962649, SmoothL1=0.825253, accuracy=0.833802
[Epoch 81][Batch 499], Speed: 39.410751 samples/sec, CrossEntropy=1.976888, SmoothL1=0.829886, accuracy=0.833014
[Epoch 81] Training cost: 454.229447, CrossEntropy=1.976673, SmoothL1=0.829632, accuracy=0.833020
[Epoch 81] Validation:
aeroplane=0.798419
bicycle=0.847114
bird=0.773838
boat=0.665868
bottle=0.521106
bus=0.862199
car=0.861817
cat=0.865096
chair=0.593253
cow=0.795046
diningtable=0.735018
dog=0.841674
horse=0.848410
motorbike=0.838080
person=0.788973
pottedplant=0.498687
sheep=0.771651
sofa=0.743403
train=0.846898
tvmonitor=0.773662
mAP=0.763510
[Epoch 82][Batch 99], Speed: 29.712324 samples/sec, CrossEntropy=1.922775, SmoothL1=0.809449, accuracy=0.835656
[Epoch 82][Batch 199], Speed: 37.400701 samples/sec, CrossEntropy=1.937534, SmoothL1=0.814874, accuracy=0.834873
[Epoch 82][Batch 299], Speed: 36.938192 samples/sec, CrossEntropy=1.945631, SmoothL1=0.814616, accuracy=0.833943
[Epoch 82][Batch 399], Speed: 37.398899 samples/sec, CrossEntropy=1.956705, SmoothL1=0.817199, accuracy=0.833433
[Epoch 82][Batch 499], Speed: 40.596259 samples/sec, CrossEntropy=1.957223, SmoothL1=0.814789, accuracy=0.833524
[Epoch 82] Training cost: 453.380712, CrossEntropy=1.957807, SmoothL1=0.816173, accuracy=0.833526
[Epoch 82] Validation:
aeroplane=0.774742
bicycle=0.827394
bird=0.745386
boat=0.621374
bottle=0.505663
bus=0.831287
car=0.865560
cat=0.860878
chair=0.589214
cow=0.800114
diningtable=0.729252
dog=0.835984
horse=0.841438
motorbike=0.818882
person=0.788072
pottedplant=0.458320
sheep=0.762878
sofa=0.760311
train=0.851722
tvmonitor=0.770417
mAP=0.751944
[Epoch 83][Batch 99], Speed: 37.212072 samples/sec, CrossEntropy=1.921282, SmoothL1=0.793616, accuracy=0.835388
[Epoch 83][Batch 199], Speed: 38.643612 samples/sec, CrossEntropy=1.943263, SmoothL1=0.808963, accuracy=0.834681
[Epoch 83][Batch 299], Speed: 35.893667 samples/sec, CrossEntropy=1.934231, SmoothL1=0.808087, accuracy=0.835020
[Epoch 83][Batch 399], Speed: 35.036896 samples/sec, CrossEntropy=1.955446, SmoothL1=0.814322, accuracy=0.833747
[Epoch 83][Batch 499], Speed: 36.040013 samples/sec, CrossEntropy=1.959631, SmoothL1=0.816294, accuracy=0.833368
[Epoch 83] Training cost: 455.796597, CrossEntropy=1.959144, SmoothL1=0.815118, accuracy=0.833510
[Epoch 83] Validation:
aeroplane=0.779768
bicycle=0.851231
bird=0.765176
boat=0.691204
bottle=0.509499
bus=0.854582
car=0.865249
cat=0.878719
chair=0.600465
cow=0.801601
diningtable=0.737794
dog=0.832682
horse=0.854244
motorbike=0.828215
person=0.795979
pottedplant=0.502293
sheep=0.754803
sofa=0.761955
train=0.850706
tvmonitor=0.791767
mAP=0.765397
[Epoch 84][Batch 99], Speed: 40.765008 samples/sec, CrossEntropy=1.923219, SmoothL1=0.815744, accuracy=0.835938
[Epoch 84][Batch 199], Speed: 39.354971 samples/sec, CrossEntropy=1.938727, SmoothL1=0.830373, accuracy=0.834710
[Epoch 84][Batch 299], Speed: 37.200087 samples/sec, CrossEntropy=1.938237, SmoothL1=0.815678, accuracy=0.835436
[Epoch 84][Batch 399], Speed: 36.528013 samples/sec, CrossEntropy=1.948489, SmoothL1=0.819536, accuracy=0.834676
[Epoch 84][Batch 499], Speed: 39.838946 samples/sec, CrossEntropy=1.955494, SmoothL1=0.822703, accuracy=0.833982
[Epoch 84] Training cost: 455.688290, CrossEntropy=1.954013, SmoothL1=0.821028, accuracy=0.834163
[Epoch 84] Validation:
aeroplane=0.797138
bicycle=0.858195
bird=0.763742
boat=0.695970
bottle=0.529106
bus=0.844400
car=0.866947
cat=0.850171
chair=0.615854
cow=0.807055
diningtable=0.712555
dog=0.838265
horse=0.849982
motorbike=0.833670
person=0.788072
pottedplant=0.485540
sheep=0.740354
sofa=0.768661
train=0.828920
tvmonitor=0.783053
mAP=0.762883
[Epoch 85][Batch 99], Speed: 36.743934 samples/sec, CrossEntropy=1.929127, SmoothL1=0.799460, accuracy=0.836706
[Epoch 85][Batch 199], Speed: 34.951214 samples/sec, CrossEntropy=1.944861, SmoothL1=0.807378, accuracy=0.834710
[Epoch 85][Batch 299], Speed: 38.250013 samples/sec, CrossEntropy=1.945381, SmoothL1=0.812345, accuracy=0.834547
[Epoch 85][Batch 399], Speed: 33.062943 samples/sec, CrossEntropy=1.947603, SmoothL1=0.810583, accuracy=0.834798
[Epoch 85][Batch 499], Speed: 37.937525 samples/sec, CrossEntropy=1.944115, SmoothL1=0.812100, accuracy=0.834961
[Epoch 85] Training cost: 454.184395, CrossEntropy=1.946833, SmoothL1=0.813970, accuracy=0.834784
[Epoch 85] Validation:
aeroplane=0.793441
bicycle=0.855331
bird=0.765667
boat=0.645411
bottle=0.528146
bus=0.845017
car=0.867039
cat=0.863431
chair=0.595474
cow=0.793620
diningtable=0.702139
dog=0.847084
horse=0.860387
motorbike=0.831232
person=0.788033
pottedplant=0.460611
sheep=0.739116
sofa=0.738129
train=0.829238
tvmonitor=0.770650
mAP=0.755960
[Epoch 86][Batch 99], Speed: 38.697348 samples/sec, CrossEntropy=1.890367, SmoothL1=0.799422, accuracy=0.837660
[Epoch 86][Batch 199], Speed: 34.837940 samples/sec, CrossEntropy=1.914062, SmoothL1=0.803652, accuracy=0.836167
[Epoch 86][Batch 299], Speed: 39.042579 samples/sec, CrossEntropy=1.916856, SmoothL1=0.801698, accuracy=0.836075
[Epoch 86][Batch 399], Speed: 35.076837 samples/sec, CrossEntropy=1.926243, SmoothL1=0.802776, accuracy=0.835782
[Epoch 86][Batch 499], Speed: 38.045375 samples/sec, CrossEntropy=1.928849, SmoothL1=0.804058, accuracy=0.835433
[Epoch 86] Training cost: 454.992296, CrossEntropy=1.928837, SmoothL1=0.804785, accuracy=0.835355
[Epoch 86] Validation:
aeroplane=0.808839
bicycle=0.862509
bird=0.772912
boat=0.711491
bottle=0.548301
bus=0.850684
car=0.871566
cat=0.875992
chair=0.636037
cow=0.813339
diningtable=0.690652
dog=0.835185
horse=0.868221
motorbike=0.836826
person=0.797058
pottedplant=0.485832
sheep=0.734884
sofa=0.775232
train=0.852086
tvmonitor=0.767289
mAP=0.769747
[Epoch 87][Batch 99], Speed: 35.312519 samples/sec, CrossEntropy=1.883729, SmoothL1=0.777237, accuracy=0.838571
[Epoch 87][Batch 199], Speed: 37.343261 samples/sec, CrossEntropy=1.901174, SmoothL1=0.790355, accuracy=0.837583
[Epoch 87][Batch 299], Speed: 33.035396 samples/sec, CrossEntropy=1.907659, SmoothL1=0.793929, accuracy=0.837245
[Epoch 87][Batch 399], Speed: 35.776492 samples/sec, CrossEntropy=1.907001, SmoothL1=0.794632, accuracy=0.837106
[Epoch 87][Batch 499], Speed: 39.283809 samples/sec, CrossEntropy=1.912319, SmoothL1=0.797325, accuracy=0.836764
[Epoch 87] Training cost: 456.477109, CrossEntropy=1.915463, SmoothL1=0.797867, accuracy=0.836547
[Epoch 87] Validation:
aeroplane=0.784666
bicycle=0.834522
bird=0.773176
boat=0.677870
bottle=0.514593
bus=0.854784
car=0.865397
cat=0.861975
chair=0.587055
cow=0.826339
diningtable=0.708383
dog=0.818834
horse=0.846897
motorbike=0.833668
person=0.796042
pottedplant=0.442858
sheep=0.756555
sofa=0.764782
train=0.854548
tvmonitor=0.776441
mAP=0.758969
[Epoch 88][Batch 99], Speed: 39.840885 samples/sec, CrossEntropy=1.884622, SmoothL1=0.788156, accuracy=0.838410
[Epoch 88][Batch 199], Speed: 39.237859 samples/sec, CrossEntropy=1.892794, SmoothL1=0.790033, accuracy=0.837930
[Epoch 88][Batch 299], Speed: 33.132915 samples/sec, CrossEntropy=1.896647, SmoothL1=0.793788, accuracy=0.837480
[Epoch 88][Batch 399], Speed: 35.492735 samples/sec, CrossEntropy=1.905789, SmoothL1=0.794665, accuracy=0.836921
[Epoch 88][Batch 499], Speed: 39.574868 samples/sec, CrossEntropy=1.911601, SmoothL1=0.799200, accuracy=0.836781
[Epoch 88] Training cost: 455.249316, CrossEntropy=1.911455, SmoothL1=0.797989, accuracy=0.836844
[Epoch 88] Validation:
aeroplane=0.796893
bicycle=0.854857
bird=0.781876
boat=0.673525
bottle=0.506955
bus=0.838151
car=0.867369
cat=0.859096
chair=0.587630
cow=0.783430
diningtable=0.720751
dog=0.808082
horse=0.842742
motorbike=0.835301
person=0.785889
pottedplant=0.483140
sheep=0.746137
sofa=0.758676
train=0.852862
tvmonitor=0.756947
mAP=0.757016
[Epoch 89][Batch 99], Speed: 38.251387 samples/sec, CrossEntropy=1.869462, SmoothL1=0.779517, accuracy=0.840881
[Epoch 89][Batch 199], Speed: 34.375112 samples/sec, CrossEntropy=1.887920, SmoothL1=0.796946, accuracy=0.839040
[Epoch 89][Batch 299], Speed: 38.524651 samples/sec, CrossEntropy=1.899390, SmoothL1=0.797409, accuracy=0.838196
[Epoch 89][Batch 399], Speed: 38.687109 samples/sec, CrossEntropy=1.905939, SmoothL1=0.797390, accuracy=0.837614
[Epoch 89][Batch 499], Speed: 39.285349 samples/sec, CrossEntropy=1.916318, SmoothL1=0.800269, accuracy=0.836920
[Epoch 89] Training cost: 456.336256, CrossEntropy=1.916966, SmoothL1=0.800028, accuracy=0.836812
[Epoch 89] Validation:
aeroplane=0.796163
bicycle=0.845059
bird=0.774623
boat=0.695199
bottle=0.522790
bus=0.846669
car=0.862630
cat=0.870546
chair=0.612634
cow=0.792038
diningtable=0.717993
dog=0.846905
horse=0.860199
motorbike=0.820675
person=0.789678
pottedplant=0.472442
sheep=0.722261
sofa=0.767426
train=0.853350
tvmonitor=0.769065
mAP=0.761917
[Epoch 90][Batch 99], Speed: 39.011066 samples/sec, CrossEntropy=1.905352, SmoothL1=0.780088, accuracy=0.837527
[Epoch 90][Batch 199], Speed: 37.241003 samples/sec, CrossEntropy=1.919658, SmoothL1=0.788256, accuracy=0.836819
[Epoch 90][Batch 299], Speed: 35.414331 samples/sec, CrossEntropy=1.925131, SmoothL1=0.795225, accuracy=0.836268
[Epoch 90][Batch 399], Speed: 37.533394 samples/sec, CrossEntropy=1.927082, SmoothL1=0.797375, accuracy=0.836331
[Epoch 90][Batch 499], Speed: 37.912310 samples/sec, CrossEntropy=1.929260, SmoothL1=0.801085, accuracy=0.835903
[Epoch 90] Training cost: 454.660498, CrossEntropy=1.929203, SmoothL1=0.800259, accuracy=0.835840
[Epoch 90] Validation:
aeroplane=0.792695
bicycle=0.847431
bird=0.772599
boat=0.677804
bottle=0.507604
bus=0.846232
car=0.864835
cat=0.873283
chair=0.586465
cow=0.835221
diningtable=0.723442
dog=0.828344
horse=0.836524
motorbike=0.820203
person=0.792384
pottedplant=0.477437
sheep=0.745325
sofa=0.757090
train=0.825397
tvmonitor=0.778928
mAP=0.759462
[Epoch 91][Batch 99], Speed: 36.928344 samples/sec, CrossEntropy=1.876076, SmoothL1=0.783635, accuracy=0.839629
[Epoch 91][Batch 199], Speed: 34.958888 samples/sec, CrossEntropy=1.889249, SmoothL1=0.801288, accuracy=0.838837
[Epoch 91][Batch 299], Speed: 37.516639 samples/sec, CrossEntropy=1.887055, SmoothL1=0.792050, accuracy=0.838961
[Epoch 91][Batch 399], Speed: 35.575597 samples/sec, CrossEntropy=1.893070, SmoothL1=0.793371, accuracy=0.838458
[Epoch 91][Batch 499], Speed: 39.506420 samples/sec, CrossEntropy=1.896760, SmoothL1=0.792569, accuracy=0.838046
[Epoch 91] Training cost: 455.880806, CrossEntropy=1.897955, SmoothL1=0.791497, accuracy=0.837975
[Epoch 91] Validation:
aeroplane=0.786064
bicycle=0.848029
bird=0.775945
boat=0.644644
bottle=0.463075
bus=0.851892
car=0.871571
cat=0.871152
chair=0.589118
cow=0.804277
diningtable=0.719972
dog=0.805708
horse=0.835535
motorbike=0.838850
person=0.784902
pottedplant=0.490628
sheep=0.740659
sofa=0.762207
train=0.842094
tvmonitor=0.768458
mAP=0.754739
[Epoch 92][Batch 99], Speed: 38.412323 samples/sec, CrossEntropy=1.862696, SmoothL1=0.781903, accuracy=0.839775
[Epoch 92][Batch 199], Speed: 37.055091 samples/sec, CrossEntropy=1.884951, SmoothL1=0.793276, accuracy=0.839130
[Epoch 92][Batch 299], Speed: 34.425112 samples/sec, CrossEntropy=1.895926, SmoothL1=0.797001, accuracy=0.837913
[Epoch 92][Batch 399], Speed: 36.680129 samples/sec, CrossEntropy=1.905502, SmoothL1=0.799399, accuracy=0.837261
[Epoch 92][Batch 499], Speed: 40.451748 samples/sec, CrossEntropy=1.905518, SmoothL1=0.797175, accuracy=0.837185
[Epoch 92] Training cost: 457.726289, CrossEntropy=1.906381, SmoothL1=0.797095, accuracy=0.837030
[Epoch 92] Validation:
aeroplane=0.772024
bicycle=0.848953
bird=0.761363
boat=0.654069
bottle=0.522859
bus=0.857499
car=0.869003
cat=0.869818
chair=0.598524
cow=0.806077
diningtable=0.712414
dog=0.819076
horse=0.836653
motorbike=0.830540
person=0.787848
pottedplant=0.449189
sheep=0.754089
sofa=0.776182
train=0.845863
tvmonitor=0.780085
mAP=0.757606
[Epoch 93][Batch 99], Speed: 34.668021 samples/sec, CrossEntropy=1.903957, SmoothL1=0.787649, accuracy=0.837227
[Epoch 93][Batch 199], Speed: 37.852178 samples/sec, CrossEntropy=1.896756, SmoothL1=0.788502, accuracy=0.837305
[Epoch 93][Batch 299], Speed: 36.543787 samples/sec, CrossEntropy=1.878104, SmoothL1=0.782649, accuracy=0.838674
[Epoch 93][Batch 399], Speed: 35.074793 samples/sec, CrossEntropy=1.881913, SmoothL1=0.785045, accuracy=0.838428
[Epoch 93][Batch 499], Speed: 38.173817 samples/sec, CrossEntropy=1.888089, SmoothL1=0.785981, accuracy=0.838265
[Epoch 93] Training cost: 456.412626, CrossEntropy=1.889476, SmoothL1=0.786995, accuracy=0.838284
[Epoch 93] Validation:
aeroplane=0.799289
bicycle=0.832530
bird=0.767600
boat=0.678709
bottle=0.513322
bus=0.861996
car=0.867585
cat=0.872522
chair=0.611285
cow=0.827022
diningtable=0.705456
dog=0.822588
horse=0.844471
motorbike=0.825838
person=0.785443
pottedplant=0.463394
sheep=0.758779
sofa=0.768978
train=0.854991
tvmonitor=0.780026
mAP=0.762091
[Epoch 94][Batch 99], Speed: 35.010793 samples/sec, CrossEntropy=1.852326, SmoothL1=0.779880, accuracy=0.840596
[Epoch 94][Batch 199], Speed: 37.524023 samples/sec, CrossEntropy=1.856579, SmoothL1=0.781659, accuracy=0.841254
[Epoch 94][Batch 299], Speed: 36.294592 samples/sec, CrossEntropy=1.867866, SmoothL1=0.782751, accuracy=0.840340
[Epoch 94][Batch 399], Speed: 37.582727 samples/sec, CrossEntropy=1.872513, SmoothL1=0.780904, accuracy=0.840091
[Epoch 94][Batch 499], Speed: 40.281624 samples/sec, CrossEntropy=1.874185, SmoothL1=0.779849, accuracy=0.839989
[Epoch 94] Training cost: 455.594642, CrossEntropy=1.873942, SmoothL1=0.778672, accuracy=0.840040
[Epoch 94] Validation:
aeroplane=0.822006
bicycle=0.854529
bird=0.781263
boat=0.701934
bottle=0.502670
bus=0.867201
car=0.872996
cat=0.853805
chair=0.593983
cow=0.832668
diningtable=0.687795
dog=0.808707
horse=0.854092
motorbike=0.831308
person=0.797834
pottedplant=0.486061
sheep=0.772941
sofa=0.751658
train=0.856993
tvmonitor=0.771151
mAP=0.765080
[Epoch 95][Batch 99], Speed: 36.292246 samples/sec, CrossEntropy=1.852584, SmoothL1=0.758118, accuracy=0.840306
[Epoch 95][Batch 199], Speed: 37.848677 samples/sec, CrossEntropy=1.879249, SmoothL1=0.777295, accuracy=0.838960
[Epoch 95][Batch 299], Speed: 37.225148 samples/sec, CrossEntropy=1.877574, SmoothL1=0.783262, accuracy=0.838919
[Epoch 95][Batch 399], Speed: 39.543328 samples/sec, CrossEntropy=1.883712, SmoothL1=0.789401, accuracy=0.838542
[Epoch 95][Batch 499], Speed: 38.174631 samples/sec, CrossEntropy=1.881729, SmoothL1=0.785052, accuracy=0.839078
[Epoch 95] Training cost: 455.343190, CrossEntropy=1.883311, SmoothL1=0.785055, accuracy=0.839076
[Epoch 95] Validation:
aeroplane=0.804784
bicycle=0.848804
bird=0.744311
boat=0.675101
bottle=0.542614
bus=0.860158
car=0.863012
cat=0.852310
chair=0.591305
cow=0.810700
diningtable=0.746139
dog=0.828685
horse=0.842540
motorbike=0.831213
person=0.787970
pottedplant=0.451266
sheep=0.731730
sofa=0.726162
train=0.854637
tvmonitor=0.754531
mAP=0.757399
[Epoch 96][Batch 99], Speed: 39.158629 samples/sec, CrossEntropy=1.844226, SmoothL1=0.772664, accuracy=0.843108
[Epoch 96][Batch 199], Speed: 38.080553 samples/sec, CrossEntropy=1.869417, SmoothL1=0.776271, accuracy=0.840997
[Epoch 96][Batch 299], Speed: 39.128274 samples/sec, CrossEntropy=1.869227, SmoothL1=0.773876, accuracy=0.841328
[Epoch 96][Batch 399], Speed: 38.200969 samples/sec, CrossEntropy=1.882689, SmoothL1=0.780305, accuracy=0.840245
[Epoch 96][Batch 499], Speed: 38.111749 samples/sec, CrossEntropy=1.887697, SmoothL1=0.784520, accuracy=0.839524
[Epoch 96] Training cost: 456.416018, CrossEntropy=1.888735, SmoothL1=0.784734, accuracy=0.839454
[Epoch 96] Validation:
aeroplane=0.787539
bicycle=0.832605
bird=0.742177
boat=0.669330
bottle=0.508514
bus=0.855960
car=0.865794
cat=0.868518
chair=0.601086
cow=0.825371
diningtable=0.712672
dog=0.850710
horse=0.850415
motorbike=0.816791
person=0.787346
pottedplant=0.504060
sheep=0.755747
sofa=0.755607
train=0.850452
tvmonitor=0.788104
mAP=0.761440
[Epoch 97][Batch 99], Speed: 37.888294 samples/sec, CrossEntropy=1.871157, SmoothL1=0.777580, accuracy=0.840333
[Epoch 97][Batch 199], Speed: 34.825646 samples/sec, CrossEntropy=1.866830, SmoothL1=0.782374, accuracy=0.841258
[Epoch 97][Batch 299], Speed: 35.887160 samples/sec, CrossEntropy=1.872291, SmoothL1=0.786497, accuracy=0.840617
[Epoch 97][Batch 399], Speed: 34.617385 samples/sec, CrossEntropy=1.882592, SmoothL1=0.784601, accuracy=0.839858
[Epoch 97][Batch 499], Speed: 37.805170 samples/sec, CrossEntropy=1.885235, SmoothL1=0.782709, accuracy=0.839546
[Epoch 97] Training cost: 455.514050, CrossEntropy=1.885767, SmoothL1=0.782288, accuracy=0.839525
[Epoch 97] Validation:
aeroplane=0.798492
bicycle=0.853103
bird=0.749147
boat=0.647197
bottle=0.528673
bus=0.856228
car=0.867960
cat=0.861639
chair=0.580846
cow=0.831651
diningtable=0.650276
dog=0.823808
horse=0.852437
motorbike=0.840708
person=0.788527
pottedplant=0.448982
sheep=0.757261
sofa=0.765313
train=0.848864
tvmonitor=0.767381
mAP=0.755925
[Epoch 98][Batch 99], Speed: 36.532477 samples/sec, CrossEntropy=1.868193, SmoothL1=0.778154, accuracy=0.840033
[Epoch 98][Batch 199], Speed: 39.120052 samples/sec, CrossEntropy=1.882641, SmoothL1=0.784432, accuracy=0.839419
[Epoch 98][Batch 299], Speed: 38.419294 samples/sec, CrossEntropy=1.884755, SmoothL1=0.791443, accuracy=0.839076
[Epoch 98][Batch 399], Speed: 39.483804 samples/sec, CrossEntropy=1.882282, SmoothL1=0.788302, accuracy=0.839474
[Epoch 98][Batch 499], Speed: 34.855655 samples/sec, CrossEntropy=1.878986, SmoothL1=0.786000, accuracy=0.839611
[Epoch 98] Training cost: 457.116479, CrossEntropy=1.877639, SmoothL1=0.786161, accuracy=0.839524
[Epoch 98] Validation:
aeroplane=0.803797
bicycle=0.805046
bird=0.757337
boat=0.693815
bottle=0.519292
bus=0.850310
car=0.869678
cat=0.856016
chair=0.589751
cow=0.808079
diningtable=0.719144
dog=0.847573
horse=0.855309
motorbike=0.823997
person=0.793323
pottedplant=0.459265
sheep=0.759699
sofa=0.769857
train=0.836269
tvmonitor=0.773870
mAP=0.759571
[Epoch 99][Batch 99], Speed: 31.404048 samples/sec, CrossEntropy=1.862061, SmoothL1=0.780667, accuracy=0.841520
[Epoch 99][Batch 199], Speed: 36.163336 samples/sec, CrossEntropy=1.869513, SmoothL1=0.784044, accuracy=0.840443
[Epoch 99][Batch 299], Speed: 39.091134 samples/sec, CrossEntropy=1.869726, SmoothL1=0.782090, accuracy=0.840508
[Epoch 99][Batch 399], Speed: 35.346192 samples/sec, CrossEntropy=1.873609, SmoothL1=0.780303, accuracy=0.840098
[Epoch 99][Batch 499], Speed: 36.266211 samples/sec, CrossEntropy=1.874562, SmoothL1=0.781406, accuracy=0.839935
[Epoch 99] Training cost: 455.550393, CrossEntropy=1.874320, SmoothL1=0.781111, accuracy=0.839887
[Epoch 99] Validation:
aeroplane=0.809185
bicycle=0.849850
bird=0.771004
boat=0.686306
bottle=0.527212
bus=0.851734
car=0.867979
cat=0.861553
chair=0.589857
cow=0.805955
diningtable=0.711010
dog=0.842847
horse=0.849754
motorbike=0.843313
person=0.790632
pottedplant=0.505693
sheep=0.774067
sofa=0.763795
train=0.857563
tvmonitor=0.787270
mAP=0.767329
[Epoch 100][Batch 99], Speed: 39.478438 samples/sec, CrossEntropy=1.841925, SmoothL1=0.765970, accuracy=0.842374
[Epoch 100][Batch 199], Speed: 39.263893 samples/sec, CrossEntropy=1.851994, SmoothL1=0.775722, accuracy=0.841837
[Epoch 100][Batch 299], Speed: 38.372481 samples/sec, CrossEntropy=1.857456, SmoothL1=0.776899, accuracy=0.841391
[Epoch 100][Batch 399], Speed: 37.302338 samples/sec, CrossEntropy=1.852868, SmoothL1=0.775996, accuracy=0.841494
[Epoch 100][Batch 499], Speed: 38.726010 samples/sec, CrossEntropy=1.850246, SmoothL1=0.772052, accuracy=0.841657
[Epoch 100] Training cost: 454.655498, CrossEntropy=1.850451, SmoothL1=0.770646, accuracy=0.841636
[Epoch 100] Validation:
aeroplane=0.800204
bicycle=0.841019
bird=0.760406
boat=0.666884
bottle=0.517208
bus=0.842498
car=0.864689
cat=0.863578
chair=0.607913
cow=0.797466
diningtable=0.740016
dog=0.843718
horse=0.857630
motorbike=0.820893
person=0.795647
pottedplant=0.487736
sheep=0.748603
sofa=0.779829
train=0.835441
tvmonitor=0.772057
mAP=0.762172
[Epoch 101][Batch 99], Speed: 37.194819 samples/sec, CrossEntropy=1.801983, SmoothL1=0.744561, accuracy=0.844657
[Epoch 101][Batch 199], Speed: 34.256694 samples/sec, CrossEntropy=1.818021, SmoothL1=0.755951, accuracy=0.844866
[Epoch 101][Batch 299], Speed: 39.246223 samples/sec, CrossEntropy=1.825533, SmoothL1=0.756370, accuracy=0.844155
[Epoch 101][Batch 399], Speed: 39.050576 samples/sec, CrossEntropy=1.842990, SmoothL1=0.762667, accuracy=0.842706
[Epoch 101][Batch 499], Speed: 37.687275 samples/sec, CrossEntropy=1.846333, SmoothL1=0.765763, accuracy=0.842377
[Epoch 101] Training cost: 455.948652, CrossEntropy=1.849915, SmoothL1=0.767808, accuracy=0.842210
[Epoch 101] Validation:
aeroplane=0.810042
bicycle=0.853392
bird=0.780022
boat=0.650684
bottle=0.517984
bus=0.835408
car=0.865555
cat=0.859481
chair=0.574968
cow=0.805905
diningtable=0.686944
dog=0.819821
horse=0.853768
motorbike=0.801080
person=0.783931
pottedplant=0.492081
sheep=0.762349
sofa=0.768091
train=0.836215
tvmonitor=0.773534
mAP=0.756563
[Epoch 102][Batch 99], Speed: 33.012117 samples/sec, CrossEntropy=1.827146, SmoothL1=0.767573, accuracy=0.842183
[Epoch 102][Batch 199], Speed: 35.581218 samples/sec, CrossEntropy=1.841520, SmoothL1=0.775948, accuracy=0.841219
[Epoch 102][Batch 299], Speed: 37.860143 samples/sec, CrossEntropy=1.848011, SmoothL1=0.774846, accuracy=0.841325
[Epoch 102][Batch 399], Speed: 33.001873 samples/sec, CrossEntropy=1.851350, SmoothL1=0.773585, accuracy=0.841130
[Epoch 102][Batch 499], Speed: 37.583390 samples/sec, CrossEntropy=1.852166, SmoothL1=0.773651, accuracy=0.841017
[Epoch 102] Training cost: 457.679084, CrossEntropy=1.854580, SmoothL1=0.773566, accuracy=0.841030
[Epoch 102] Validation:
aeroplane=0.812178
bicycle=0.850834
bird=0.769490
boat=0.671149
bottle=0.510037
bus=0.869665
car=0.864579
cat=0.866162
chair=0.617789
cow=0.824601
diningtable=0.671730
dog=0.818527
horse=0.843159
motorbike=0.840634
person=0.792790
pottedplant=0.486396
sheep=0.728370
sofa=0.779322
train=0.859593
tvmonitor=0.780222
mAP=0.762861
[Epoch 103][Batch 99], Speed: 36.435348 samples/sec, CrossEntropy=1.827796, SmoothL1=0.758012, accuracy=0.843881
[Epoch 103][Batch 199], Speed: 36.406035 samples/sec, CrossEntropy=1.844915, SmoothL1=0.762163, accuracy=0.842770
[Epoch 103][Batch 299], Speed: 36.265799 samples/sec, CrossEntropy=1.835732, SmoothL1=0.758368, accuracy=0.843201
[Epoch 103][Batch 399], Speed: 37.253489 samples/sec, CrossEntropy=1.845102, SmoothL1=0.761741, accuracy=0.842354
[Epoch 103][Batch 499], Speed: 37.643610 samples/sec, CrossEntropy=1.841006, SmoothL1=0.756600, accuracy=0.842344
[Epoch 103] Training cost: 455.768669, CrossEntropy=1.840560, SmoothL1=0.756179, accuracy=0.842369
[Epoch 103] Validation:
aeroplane=0.788395
bicycle=0.856415
bird=0.756532
boat=0.678029
bottle=0.528336
bus=0.838672
car=0.867509
cat=0.865422
chair=0.598927
cow=0.793777
diningtable=0.704789
dog=0.833228
horse=0.865720
motorbike=0.843513
person=0.793753
pottedplant=0.484006
sheep=0.756660
sofa=0.781930
train=0.850902
tvmonitor=0.778486
mAP=0.763250
[Epoch 104][Batch 99], Speed: 34.655024 samples/sec, CrossEntropy=1.829638, SmoothL1=0.754022, accuracy=0.844069
[Epoch 104][Batch 199], Speed: 38.371186 samples/sec, CrossEntropy=1.832703, SmoothL1=0.761648, accuracy=0.844033
[Epoch 104][Batch 299], Speed: 34.949794 samples/sec, CrossEntropy=1.833297, SmoothL1=0.762027, accuracy=0.843637
[Epoch 104][Batch 399], Speed: 39.288638 samples/sec, CrossEntropy=1.831946, SmoothL1=0.757054, accuracy=0.843525
[Epoch 104][Batch 499], Speed: 35.840969 samples/sec, CrossEntropy=1.830215, SmoothL1=0.754171, accuracy=0.843403
[Epoch 104] Training cost: 454.535103, CrossEntropy=1.830873, SmoothL1=0.753665, accuracy=0.843362
[Epoch 104] Validation:
aeroplane=0.812332
bicycle=0.858240
bird=0.773825
boat=0.692928
bottle=0.518376
bus=0.867355
car=0.865736
cat=0.880569
chair=0.595721
cow=0.823048
diningtable=0.703533
dog=0.844252
horse=0.858593
motorbike=0.845285
person=0.776009
pottedplant=0.486234
sheep=0.756511
sofa=0.758022
train=0.857631
tvmonitor=0.788081
mAP=0.768114
[Epoch 105][Batch 99], Speed: 38.080370 samples/sec, CrossEntropy=1.803514, SmoothL1=0.751601, accuracy=0.844769
[Epoch 105][Batch 199], Speed: 39.565325 samples/sec, CrossEntropy=1.809687, SmoothL1=0.752487, accuracy=0.844503
[Epoch 105][Batch 299], Speed: 35.986952 samples/sec, CrossEntropy=1.815690, SmoothL1=0.751577, accuracy=0.844333
[Epoch 105][Batch 399], Speed: 39.137311 samples/sec, CrossEntropy=1.825637, SmoothL1=0.755808, accuracy=0.843634
[Epoch 105][Batch 499], Speed: 36.176505 samples/sec, CrossEntropy=1.832895, SmoothL1=0.758041, accuracy=0.843118
[Epoch 105] Training cost: 455.329328, CrossEntropy=1.832897, SmoothL1=0.759182, accuracy=0.843073
[Epoch 105] Validation:
aeroplane=0.785834
bicycle=0.857489
bird=0.728973
boat=0.681131
bottle=0.504297
bus=0.843652
car=0.865460
cat=0.862462
chair=0.580923
cow=0.822704
diningtable=0.693611
dog=0.832470
horse=0.843848
motorbike=0.824835
person=0.794439
pottedplant=0.509025
sheep=0.778283
sofa=0.775059
train=0.855844
tvmonitor=0.773511
mAP=0.760693
[Epoch 106][Batch 99], Speed: 38.829778 samples/sec, CrossEntropy=1.786402, SmoothL1=0.743056, accuracy=0.847146
[Epoch 106][Batch 199], Speed: 36.279043 samples/sec, CrossEntropy=1.818929, SmoothL1=0.759365, accuracy=0.844222
[Epoch 106][Batch 299], Speed: 36.408109 samples/sec, CrossEntropy=1.818312, SmoothL1=0.757173, accuracy=0.844382
[Epoch 106][Batch 399], Speed: 37.774431 samples/sec, CrossEntropy=1.827493, SmoothL1=0.759412, accuracy=0.843816
[Epoch 106][Batch 499], Speed: 35.397958 samples/sec, CrossEntropy=1.823521, SmoothL1=0.756913, accuracy=0.844046
[Epoch 106] Training cost: 456.385474, CrossEntropy=1.825857, SmoothL1=0.757617, accuracy=0.843892
[Epoch 106] Validation:
aeroplane=0.814824
bicycle=0.866566
bird=0.779174
boat=0.661794
bottle=0.520934
bus=0.862859
car=0.866689
cat=0.851397
chair=0.595358
cow=0.819032
diningtable=0.702415
dog=0.837146
horse=0.858445
motorbike=0.840841
person=0.795242
pottedplant=0.451218
sheep=0.747317
sofa=0.762756
train=0.861395
tvmonitor=0.775095
mAP=0.763525
[Epoch 107][Batch 99], Speed: 38.493781 samples/sec, CrossEntropy=1.807227, SmoothL1=0.740256, accuracy=0.845491
[Epoch 107][Batch 199], Speed: 38.615061 samples/sec, CrossEntropy=1.822896, SmoothL1=0.755092, accuracy=0.844547
[Epoch 107][Batch 299], Speed: 36.776454 samples/sec, CrossEntropy=1.829260, SmoothL1=0.760150, accuracy=0.844088
[Epoch 107][Batch 399], Speed: 35.730671 samples/sec, CrossEntropy=1.831567, SmoothL1=0.761676, accuracy=0.843722
[Epoch 107][Batch 499], Speed: 32.915348 samples/sec, CrossEntropy=1.839496, SmoothL1=0.761343, accuracy=0.843246
[Epoch 107] Training cost: 455.697779, CrossEntropy=1.841208, SmoothL1=0.762582, accuracy=0.843080
[Epoch 107] Validation:
aeroplane=0.795308
bicycle=0.847592
bird=0.765912
boat=0.688881
bottle=0.516070
bus=0.871270
car=0.864578
cat=0.870420
chair=0.612201
cow=0.829744
diningtable=0.697367
dog=0.830603
horse=0.852834
motorbike=0.834544
person=0.784474
pottedplant=0.508036
sheep=0.765960
sofa=0.750635
train=0.840386
tvmonitor=0.760189
mAP=0.764350
[Epoch 108][Batch 99], Speed: 38.293917 samples/sec, CrossEntropy=1.813552, SmoothL1=0.759098, accuracy=0.844094
[Epoch 108][Batch 199], Speed: 38.043876 samples/sec, CrossEntropy=1.825657, SmoothL1=0.758066, accuracy=0.843190
[Epoch 108][Batch 299], Speed: 36.240291 samples/sec, CrossEntropy=1.822494, SmoothL1=0.757463, accuracy=0.843112
[Epoch 108][Batch 399], Speed: 38.244934 samples/sec, CrossEntropy=1.816904, SmoothL1=0.753591, accuracy=0.843776
[Epoch 108][Batch 499], Speed: 37.415006 samples/sec, CrossEntropy=1.824560, SmoothL1=0.754605, accuracy=0.843489
[Epoch 108] Training cost: 455.996279, CrossEntropy=1.822641, SmoothL1=0.753638, accuracy=0.843595
[Epoch 108] Validation:
aeroplane=0.798039
bicycle=0.844955
bird=0.760070
boat=0.688926
bottle=0.548109
bus=0.854536
car=0.865793
cat=0.872686
chair=0.612918
cow=0.816334
diningtable=0.748293
dog=0.842729
horse=0.846508
motorbike=0.847636
person=0.796366
pottedplant=0.482740
sheep=0.768689
sofa=0.751544
train=0.832900
tvmonitor=0.769934
mAP=0.767485
[Epoch 109][Batch 99], Speed: 37.830520 samples/sec, CrossEntropy=1.770253, SmoothL1=0.728595, accuracy=0.848337
[Epoch 109][Batch 199], Speed: 37.863678 samples/sec, CrossEntropy=1.791726, SmoothL1=0.743328, accuracy=0.847015
[Epoch 109][Batch 299], Speed: 34.888526 samples/sec, CrossEntropy=1.800672, SmoothL1=0.751908, accuracy=0.845561
[Epoch 109][Batch 399], Speed: 36.234391 samples/sec, CrossEntropy=1.802461, SmoothL1=0.747971, accuracy=0.845431
[Epoch 109][Batch 499], Speed: 35.379445 samples/sec, CrossEntropy=1.807933, SmoothL1=0.747993, accuracy=0.845153
[Epoch 109] Training cost: 455.200356, CrossEntropy=1.808229, SmoothL1=0.748531, accuracy=0.845172
[Epoch 109] Validation:
aeroplane=0.802216
bicycle=0.847814
bird=0.790922
boat=0.670938
bottle=0.493241
bus=0.842527
car=0.864552
cat=0.862316
chair=0.587599
cow=0.822394
diningtable=0.709439
dog=0.845398
horse=0.857198
motorbike=0.820741
person=0.793491
pottedplant=0.483630
sheep=0.753729
sofa=0.771890
train=0.845323
tvmonitor=0.761769
mAP=0.761356
[Epoch 110][Batch 99], Speed: 38.772839 samples/sec, CrossEntropy=1.780878, SmoothL1=0.746985, accuracy=0.847037
[Epoch 110][Batch 199], Speed: 36.721757 samples/sec, CrossEntropy=1.809361, SmoothL1=0.753062, accuracy=0.844787
[Epoch 110][Batch 299], Speed: 37.211380 samples/sec, CrossEntropy=1.809486, SmoothL1=0.752966, accuracy=0.844842
[Epoch 110][Batch 399], Speed: 39.037049 samples/sec, CrossEntropy=1.813165, SmoothL1=0.755355, accuracy=0.844397
[Epoch 110][Batch 499], Speed: 36.642827 samples/sec, CrossEntropy=1.815188, SmoothL1=0.753423, accuracy=0.844179
[Epoch 110] Training cost: 454.839904, CrossEntropy=1.817279, SmoothL1=0.753841, accuracy=0.844106
[Epoch 110] Validation:
aeroplane=0.809923
bicycle=0.856545
bird=0.771111
boat=0.695721
bottle=0.522470
bus=0.843393
car=0.868147
cat=0.871002
chair=0.598068
cow=0.817869
diningtable=0.751351
dog=0.828952
horse=0.865310
motorbike=0.835582
person=0.790194
pottedplant=0.477477
sheep=0.758786
sofa=0.767403
train=0.852037
tvmonitor=0.775414
mAP=0.767838
[Epoch 111][Batch 99], Speed: 35.031564 samples/sec, CrossEntropy=1.761701, SmoothL1=0.713177, accuracy=0.846791
[Epoch 111][Batch 199], Speed: 37.444682 samples/sec, CrossEntropy=1.783031, SmoothL1=0.731472, accuracy=0.845786
[Epoch 111][Batch 299], Speed: 35.627479 samples/sec, CrossEntropy=1.776520, SmoothL1=0.733991, accuracy=0.846936
[Epoch 111][Batch 399], Speed: 36.014782 samples/sec, CrossEntropy=1.788190, SmoothL1=0.736327, accuracy=0.846039
[Epoch 111][Batch 499], Speed: 38.474250 samples/sec, CrossEntropy=1.797691, SmoothL1=0.742172, accuracy=0.845377
[Epoch 111] Training cost: 456.066194, CrossEntropy=1.800138, SmoothL1=0.741932, accuracy=0.845275
[Epoch 111] Validation:
aeroplane=0.811328
bicycle=0.860199
bird=0.751992
boat=0.690721
bottle=0.539910
bus=0.844208
car=0.863572
cat=0.868777
chair=0.616514
cow=0.815273
diningtable=0.741045
dog=0.836864
horse=0.846199
motorbike=0.843607
person=0.792989
pottedplant=0.523256
sheep=0.732349
sofa=0.769708
train=0.850217
tvmonitor=0.769942
mAP=0.768433
[Epoch 112][Batch 99], Speed: 34.953962 samples/sec, CrossEntropy=1.796060, SmoothL1=0.742421, accuracy=0.845966
[Epoch 112][Batch 199], Speed: 40.232034 samples/sec, CrossEntropy=1.799548, SmoothL1=0.744408, accuracy=0.845961
[Epoch 112][Batch 299], Speed: 37.714237 samples/sec, CrossEntropy=1.800429, SmoothL1=0.743527, accuracy=0.845937
[Epoch 112][Batch 399], Speed: 37.540176 samples/sec, CrossEntropy=1.808961, SmoothL1=0.747227, accuracy=0.845235
[Epoch 112][Batch 499], Speed: 38.344471 samples/sec, CrossEntropy=1.811677, SmoothL1=0.747806, accuracy=0.844980
[Epoch 112] Training cost: 455.458591, CrossEntropy=1.812019, SmoothL1=0.748491, accuracy=0.845023
[Epoch 112] Validation:
aeroplane=0.801725
bicycle=0.845107
bird=0.776991
boat=0.705853
bottle=0.528105
bus=0.850204
car=0.866660
cat=0.866652
chair=0.596752
cow=0.843648
diningtable=0.706243
dog=0.842415
horse=0.856077
motorbike=0.826320
person=0.797128
pottedplant=0.502057
sheep=0.772357
sofa=0.756094
train=0.860769
tvmonitor=0.783599
mAP=0.769238
[Epoch 113][Batch 99], Speed: 36.288174 samples/sec, CrossEntropy=1.815720, SmoothL1=0.766296, accuracy=0.844700
[Epoch 113][Batch 199], Speed: 38.304868 samples/sec, CrossEntropy=1.798894, SmoothL1=0.748590, accuracy=0.845363
[Epoch 113][Batch 299], Speed: 37.149038 samples/sec, CrossEntropy=1.788389, SmoothL1=0.742861, accuracy=0.846168
[Epoch 113][Batch 399], Speed: 40.252679 samples/sec, CrossEntropy=1.792163, SmoothL1=0.744489, accuracy=0.845586
[Epoch 113][Batch 499], Speed: 38.871567 samples/sec, CrossEntropy=1.808807, SmoothL1=0.751337, accuracy=0.844662
[Epoch 113] Training cost: 456.444454, CrossEntropy=1.810369, SmoothL1=0.750841, accuracy=0.844642
[Epoch 113] Validation:
aeroplane=0.789902
bicycle=0.841180
bird=0.785646
boat=0.674736
bottle=0.540313
bus=0.864621
car=0.866368
cat=0.867605
chair=0.565212
cow=0.809096
diningtable=0.718470
dog=0.849321
horse=0.853344
motorbike=0.837069
person=0.793619
pottedplant=0.529386
sheep=0.754427
sofa=0.788495
train=0.858714
tvmonitor=0.755761
mAP=0.767164
[Epoch 114][Batch 99], Speed: 33.048940 samples/sec, CrossEntropy=1.815225, SmoothL1=0.742624, accuracy=0.845286
[Epoch 114][Batch 199], Speed: 36.640906 samples/sec, CrossEntropy=1.798590, SmoothL1=0.745933, accuracy=0.845566
[Epoch 114][Batch 299], Speed: 35.503250 samples/sec, CrossEntropy=1.794191, SmoothL1=0.742883, accuracy=0.846022
[Epoch 114][Batch 399], Speed: 35.584378 samples/sec, CrossEntropy=1.797290, SmoothL1=0.741991, accuracy=0.846218
[Epoch 114][Batch 499], Speed: 38.963003 samples/sec, CrossEntropy=1.794444, SmoothL1=0.738565, accuracy=0.846271
[Epoch 114] Training cost: 456.066745, CrossEntropy=1.794923, SmoothL1=0.738968, accuracy=0.846305
[Epoch 114] Validation:
aeroplane=0.811715
bicycle=0.844258
bird=0.776306
boat=0.700216
bottle=0.561738
bus=0.861111
car=0.867695
cat=0.868030
chair=0.608924
cow=0.830685
diningtable=0.724224
dog=0.822642
horse=0.852528
motorbike=0.843269
person=0.794216
pottedplant=0.501690
sheep=0.736926
sofa=0.730656
train=0.852587
tvmonitor=0.769308
mAP=0.767936
[Epoch 115][Batch 99], Speed: 39.148806 samples/sec, CrossEntropy=1.781432, SmoothL1=0.737082, accuracy=0.847245
[Epoch 115][Batch 199], Speed: 34.335575 samples/sec, CrossEntropy=1.794033, SmoothL1=0.746567, accuracy=0.846496
[Epoch 115][Batch 299], Speed: 37.282526 samples/sec, CrossEntropy=1.788031, SmoothL1=0.744561, accuracy=0.847139
[Epoch 115][Batch 399], Speed: 37.695086 samples/sec, CrossEntropy=1.793091, SmoothL1=0.743167, accuracy=0.846558
[Epoch 115][Batch 499], Speed: 38.163668 samples/sec, CrossEntropy=1.794557, SmoothL1=0.742468, accuracy=0.846399
[Epoch 115] Training cost: 456.826193, CrossEntropy=1.796779, SmoothL1=0.742707, accuracy=0.846255
[Epoch 115] Validation:
aeroplane=0.783225
bicycle=0.844220
bird=0.780243
boat=0.666306
bottle=0.491134
bus=0.850191
car=0.862191
cat=0.872477
chair=0.600111
cow=0.828273
diningtable=0.731066
dog=0.852288
horse=0.848830
motorbike=0.820592
person=0.794042
pottedplant=0.482343
sheep=0.750736
sofa=0.753365
train=0.854399
tvmonitor=0.769959
mAP=0.761800
[Epoch 116][Batch 99], Speed: 37.884391 samples/sec, CrossEntropy=1.746526, SmoothL1=0.723333, accuracy=0.849916
[Epoch 116][Batch 199], Speed: 35.280523 samples/sec, CrossEntropy=1.771358, SmoothL1=0.733453, accuracy=0.848052
[Epoch 116][Batch 299], Speed: 39.595287 samples/sec, CrossEntropy=1.782741, SmoothL1=0.734367, accuracy=0.847337
[Epoch 116][Batch 399], Speed: 36.329241 samples/sec, CrossEntropy=1.788809, SmoothL1=0.736725, accuracy=0.846740
[Epoch 116][Batch 499], Speed: 36.099744 samples/sec, CrossEntropy=1.785392, SmoothL1=0.735852, accuracy=0.846921
[Epoch 116] Training cost: 456.653488, CrossEntropy=1.784800, SmoothL1=0.735239, accuracy=0.846985
[Epoch 116] Validation:
aeroplane=0.801912
bicycle=0.839938
bird=0.778194
boat=0.699297
bottle=0.522270
bus=0.849640
car=0.862570
cat=0.864710
chair=0.617408
cow=0.798703
diningtable=0.705414
dog=0.833622
horse=0.848529
motorbike=0.843870
person=0.797232
pottedplant=0.486757
sheep=0.730842
sofa=0.761267
train=0.853007
tvmonitor=0.774343
mAP=0.763476
[Epoch 117][Batch 99], Speed: 38.984121 samples/sec, CrossEntropy=1.789219, SmoothL1=0.722412, accuracy=0.847815
[Epoch 117][Batch 199], Speed: 36.854180 samples/sec, CrossEntropy=1.795249, SmoothL1=0.735478, accuracy=0.846736
[Epoch 117][Batch 299], Speed: 38.269459 samples/sec, CrossEntropy=1.790423, SmoothL1=0.733987, accuracy=0.846722
[Epoch 117][Batch 399], Speed: 38.159209 samples/sec, CrossEntropy=1.788304, SmoothL1=0.729230, accuracy=0.846998
[Epoch 117][Batch 499], Speed: 38.040759 samples/sec, CrossEntropy=1.785840, SmoothL1=0.730414, accuracy=0.846893
[Epoch 117] Training cost: 454.877384, CrossEntropy=1.787108, SmoothL1=0.730814, accuracy=0.846797
[Epoch 117] Validation:
aeroplane=0.797212
bicycle=0.852745
bird=0.799992
boat=0.679688
bottle=0.500355
bus=0.856410
car=0.862070
cat=0.860112
chair=0.604227
cow=0.808086
diningtable=0.698600
dog=0.828198
horse=0.850248
motorbike=0.828063
person=0.800695
pottedplant=0.514126
sheep=0.772779
sofa=0.779042
train=0.864407
tvmonitor=0.779238
mAP=0.766815
[Epoch 118][Batch 99], Speed: 37.906699 samples/sec, CrossEntropy=1.747813, SmoothL1=0.705613, accuracy=0.850404
[Epoch 118][Batch 199], Speed: 36.476838 samples/sec, CrossEntropy=1.753299, SmoothL1=0.722729, accuracy=0.848796
[Epoch 118][Batch 299], Speed: 37.635198 samples/sec, CrossEntropy=1.761461, SmoothL1=0.724739, accuracy=0.848444
[Epoch 118][Batch 399], Speed: 35.591899 samples/sec, CrossEntropy=1.768713, SmoothL1=0.728852, accuracy=0.848134
[Epoch 118][Batch 499], Speed: 38.955178 samples/sec, CrossEntropy=1.772560, SmoothL1=0.730067, accuracy=0.847793
[Epoch 118] Training cost: 455.496661, CrossEntropy=1.774586, SmoothL1=0.730769, accuracy=0.847684
[Epoch 118] Validation:
aeroplane=0.799875
bicycle=0.833935
bird=0.758698
boat=0.705311
bottle=0.521777
bus=0.856483
car=0.868341
cat=0.847985
chair=0.583412
cow=0.807772
diningtable=0.701393
dog=0.812148
horse=0.850554
motorbike=0.843283
person=0.793575
pottedplant=0.466224
sheep=0.763738
sofa=0.745690
train=0.856469
tvmonitor=0.758937
mAP=0.758780
[Epoch 119][Batch 99], Speed: 38.374412 samples/sec, CrossEntropy=1.745176, SmoothL1=0.704027, accuracy=0.849533
[Epoch 119][Batch 199], Speed: 35.121105 samples/sec, CrossEntropy=1.769166, SmoothL1=0.725783, accuracy=0.847731
[Epoch 119][Batch 299], Speed: 37.052309 samples/sec, CrossEntropy=1.768323, SmoothL1=0.728214, accuracy=0.848124
[Epoch 119][Batch 399], Speed: 37.052135 samples/sec, CrossEntropy=1.771260, SmoothL1=0.732777, accuracy=0.847596
[Epoch 119][Batch 499], Speed: 38.735666 samples/sec, CrossEntropy=1.771163, SmoothL1=0.732830, accuracy=0.847538
[Epoch 119] Training cost: 454.859733, CrossEntropy=1.771696, SmoothL1=0.732321, accuracy=0.847471
[Epoch 119] Validation:
aeroplane=0.819259
bicycle=0.864849
bird=0.750920
boat=0.671315
bottle=0.509517
bus=0.860282
car=0.862427
cat=0.844656
chair=0.588730
cow=0.809332
diningtable=0.696084
dog=0.818730
horse=0.856886
motorbike=0.852800
person=0.790818
pottedplant=0.456007
sheep=0.702469
sofa=0.748416
train=0.861332
tvmonitor=0.751795
mAP=0.755831
[Epoch 120][Batch 99], Speed: 36.549957 samples/sec, CrossEntropy=1.748374, SmoothL1=0.722622, accuracy=0.849578
[Epoch 120][Batch 199], Speed: 35.340217 samples/sec, CrossEntropy=1.760506, SmoothL1=0.726704, accuracy=0.848227
[Epoch 120][Batch 299], Speed: 38.788863 samples/sec, CrossEntropy=1.752861, SmoothL1=0.716393, accuracy=0.849111
[Epoch 120][Batch 399], Speed: 35.283713 samples/sec, CrossEntropy=1.768443, SmoothL1=0.727730, accuracy=0.847614
[Epoch 120][Batch 499], Speed: 35.718633 samples/sec, CrossEntropy=1.768609, SmoothL1=0.727719, accuracy=0.847876
[Epoch 120] Training cost: 455.360476, CrossEntropy=1.772416, SmoothL1=0.730169, accuracy=0.847602
[Epoch 120] Validation:
aeroplane=0.794141
bicycle=0.850054
bird=0.769701
boat=0.692797
bottle=0.519252
bus=0.870694
car=0.862424
cat=0.800886
chair=0.584661
cow=0.813814
diningtable=0.686774
dog=0.828043
horse=0.864906
motorbike=0.838193
person=0.786851
pottedplant=0.494821
sheep=0.758074
sofa=0.767465
train=0.855207
tvmonitor=0.756950
mAP=0.759785
[Epoch 121][Batch 99], Speed: 38.071674 samples/sec, CrossEntropy=1.753253, SmoothL1=0.713091, accuracy=0.849512
[Epoch 121][Batch 199], Speed: 39.667982 samples/sec, CrossEntropy=1.776748, SmoothL1=0.734914, accuracy=0.847910
[Epoch 121][Batch 299], Speed: 34.355886 samples/sec, CrossEntropy=1.765033, SmoothL1=0.732590, accuracy=0.849026
[Epoch 121][Batch 399], Speed: 38.286762 samples/sec, CrossEntropy=1.769679, SmoothL1=0.726535, accuracy=0.848801
[Epoch 121][Batch 499], Speed: 38.409685 samples/sec, CrossEntropy=1.773376, SmoothL1=0.727609, accuracy=0.848402
[Epoch 121] Training cost: 455.875280, CrossEntropy=1.776223, SmoothL1=0.727647, accuracy=0.848161
[Epoch 121] Validation:
aeroplane=0.809417
bicycle=0.843137
bird=0.766144
boat=0.671788
bottle=0.478659
bus=0.860408
car=0.868797
cat=0.857740
chair=0.561062
cow=0.819983
diningtable=0.656886
dog=0.826556
horse=0.850424
motorbike=0.846373
person=0.798903
pottedplant=0.479514
sheep=0.752320
sofa=0.759931
train=0.870054
tvmonitor=0.766450
mAP=0.757227
[Epoch 122][Batch 99], Speed: 38.700952 samples/sec, CrossEntropy=1.762318, SmoothL1=0.736530, accuracy=0.848933
[Epoch 122][Batch 199], Speed: 37.177315 samples/sec, CrossEntropy=1.770558, SmoothL1=0.735582, accuracy=0.849023
[Epoch 122][Batch 299], Speed: 37.614578 samples/sec, CrossEntropy=1.779421, SmoothL1=0.734553, accuracy=0.848150
[Epoch 122][Batch 399], Speed: 35.631726 samples/sec, CrossEntropy=1.779370, SmoothL1=0.730192, accuracy=0.847785
[Epoch 122][Batch 499], Speed: 33.988680 samples/sec, CrossEntropy=1.780978, SmoothL1=0.732511, accuracy=0.847817
[Epoch 122] Training cost: 454.845840, CrossEntropy=1.781145, SmoothL1=0.732599, accuracy=0.847748
[Epoch 122] Validation:
aeroplane=0.823216
bicycle=0.864047
bird=0.784096
boat=0.702545
bottle=0.526904
bus=0.873469
car=0.870274
cat=0.847296
chair=0.597430
cow=0.823644
diningtable=0.706200
dog=0.833658
horse=0.863035
motorbike=0.846090
person=0.786897
pottedplant=0.464328
sheep=0.733760
sofa=0.755022
train=0.858317
tvmonitor=0.760850
mAP=0.766054
[Epoch 123][Batch 99], Speed: 38.899957 samples/sec, CrossEntropy=1.760674, SmoothL1=0.723473, accuracy=0.849366
[Epoch 123][Batch 199], Speed: 34.534859 samples/sec, CrossEntropy=1.759098, SmoothL1=0.728071, accuracy=0.849282
[Epoch 123][Batch 299], Speed: 38.403234 samples/sec, CrossEntropy=1.755174, SmoothL1=0.723284, accuracy=0.849730
[Epoch 123][Batch 399], Speed: 37.741768 samples/sec, CrossEntropy=1.748820, SmoothL1=0.720557, accuracy=0.849689
[Epoch 123][Batch 499], Speed: 39.708294 samples/sec, CrossEntropy=1.753262, SmoothL1=0.720407, accuracy=0.849477
[Epoch 123] Training cost: 455.310390, CrossEntropy=1.753350, SmoothL1=0.719269, accuracy=0.849497
[Epoch 123] Validation:
aeroplane=0.817809
bicycle=0.862130
bird=0.761144
boat=0.699098
bottle=0.540322
bus=0.872292
car=0.866092
cat=0.870412
chair=0.605804
cow=0.818652
diningtable=0.719555
dog=0.836834
horse=0.855735
motorbike=0.842757
person=0.794851
pottedplant=0.480453
sheep=0.728409
sofa=0.775875
train=0.845988
tvmonitor=0.787408
mAP=0.769081
[Epoch 124][Batch 99], Speed: 37.033487 samples/sec, CrossEntropy=1.740444, SmoothL1=0.719387, accuracy=0.850286
[Epoch 124][Batch 199], Speed: 35.563503 samples/sec, CrossEntropy=1.746772, SmoothL1=0.718881, accuracy=0.850054
[Epoch 124][Batch 299], Speed: 35.165412 samples/sec, CrossEntropy=1.748225, SmoothL1=0.721065, accuracy=0.849376
[Epoch 124][Batch 399], Speed: 37.419585 samples/sec, CrossEntropy=1.748352, SmoothL1=0.720310, accuracy=0.849381
[Epoch 124][Batch 499], Speed: 37.460065 samples/sec, CrossEntropy=1.750044, SmoothL1=0.721262, accuracy=0.849326
[Epoch 124] Training cost: 455.097023, CrossEntropy=1.748267, SmoothL1=0.719564, accuracy=0.849402
[Epoch 124] Validation:
aeroplane=0.791070
bicycle=0.860631
bird=0.768149
boat=0.682679
bottle=0.508863
bus=0.865649
car=0.870004
cat=0.862251
chair=0.592952
cow=0.837106
diningtable=0.684025
dog=0.849264
horse=0.856622
motorbike=0.835893
person=0.790544
pottedplant=0.492175
sheep=0.755985
sofa=0.769806
train=0.858191
tvmonitor=0.772884
mAP=0.765237
[Epoch 125][Batch 99], Speed: 36.788712 samples/sec, CrossEntropy=1.719718, SmoothL1=0.701197, accuracy=0.852149
[Epoch 125][Batch 199], Speed: 38.936068 samples/sec, CrossEntropy=1.720762, SmoothL1=0.705967, accuracy=0.851643
[Epoch 125][Batch 299], Speed: 36.509591 samples/sec, CrossEntropy=1.732998, SmoothL1=0.707063, accuracy=0.850519
[Epoch 125][Batch 399], Speed: 33.965482 samples/sec, CrossEntropy=1.733970, SmoothL1=0.708200, accuracy=0.850454
[Epoch 125][Batch 499], Speed: 37.406862 samples/sec, CrossEntropy=1.736998, SmoothL1=0.710903, accuracy=0.850308
[Epoch 125] Training cost: 456.035147, CrossEntropy=1.741351, SmoothL1=0.712217, accuracy=0.850033
[Epoch 125] Validation:
aeroplane=0.799243
bicycle=0.851668
bird=0.766575
boat=0.671374
bottle=0.523315
bus=0.868083
car=0.856961
cat=0.855341
chair=0.595929
cow=0.807171
diningtable=0.711727
dog=0.832044
horse=0.842660
motorbike=0.820532
person=0.794714
pottedplant=0.506572
sheep=0.729044
sofa=0.774327
train=0.854619
tvmonitor=0.774194
mAP=0.761804
[Epoch 126][Batch 99], Speed: 35.840491 samples/sec, CrossEntropy=1.731065, SmoothL1=0.702173, accuracy=0.851917
[Epoch 126][Batch 199], Speed: 38.479577 samples/sec, CrossEntropy=1.736578, SmoothL1=0.704887, accuracy=0.851554
[Epoch 126][Batch 299], Speed: 35.831420 samples/sec, CrossEntropy=1.736750, SmoothL1=0.707421, accuracy=0.851127
[Epoch 126][Batch 399], Speed: 39.047338 samples/sec, CrossEntropy=1.741975, SmoothL1=0.709482, accuracy=0.850426
[Epoch 126][Batch 499], Speed: 37.204758 samples/sec, CrossEntropy=1.744959, SmoothL1=0.712768, accuracy=0.850135
[Epoch 126] Training cost: 455.476975, CrossEntropy=1.744791, SmoothL1=0.712435, accuracy=0.850162
[Epoch 126] Validation:
aeroplane=0.774804
bicycle=0.850274
bird=0.794800
boat=0.703410
bottle=0.496221
bus=0.861964
car=0.866774
cat=0.875550
chair=0.595264
cow=0.821443
diningtable=0.721246
dog=0.844720
horse=0.867742
motorbike=0.849897
person=0.800085
pottedplant=0.511181
sheep=0.757977
sofa=0.766554
train=0.841888
tvmonitor=0.781814
mAP=0.769180
[Epoch 127][Batch 99], Speed: 36.846875 samples/sec, CrossEntropy=1.732853, SmoothL1=0.702983, accuracy=0.850989
[Epoch 127][Batch 199], Speed: 38.365483 samples/sec, CrossEntropy=1.733785, SmoothL1=0.704486, accuracy=0.851157
[Epoch 127][Batch 299], Speed: 37.974804 samples/sec, CrossEntropy=1.741031, SmoothL1=0.709961, accuracy=0.850290
[Epoch 127][Batch 399], Speed: 36.009149 samples/sec, CrossEntropy=1.741545, SmoothL1=0.705389, accuracy=0.850174
[Epoch 127][Batch 499], Speed: 38.283508 samples/sec, CrossEntropy=1.733666, SmoothL1=0.708267, accuracy=0.850700
[Epoch 127] Training cost: 455.216106, CrossEntropy=1.734699, SmoothL1=0.708442, accuracy=0.850666
[Epoch 127] Validation:
aeroplane=0.816373
bicycle=0.831864
bird=0.771240
boat=0.678038
bottle=0.522621
bus=0.848088
car=0.865272
cat=0.814087
chair=0.604932
cow=0.804472
diningtable=0.675849
dog=0.808393
horse=0.844671
motorbike=0.830983
person=0.785825
pottedplant=0.450963
sheep=0.741947
sofa=0.765282
train=0.821138
tvmonitor=0.758293
mAP=0.752017
[Epoch 128][Batch 99], Speed: 37.129389 samples/sec, CrossEntropy=1.683121, SmoothL1=0.694338, accuracy=0.854463
[Epoch 128][Batch 199], Speed: 32.641768 samples/sec, CrossEntropy=1.709858, SmoothL1=0.699641, accuracy=0.853196
[Epoch 128][Batch 299], Speed: 35.188424 samples/sec, CrossEntropy=1.704040, SmoothL1=0.700378, accuracy=0.852867
[Epoch 128][Batch 399], Speed: 37.358083 samples/sec, CrossEntropy=1.705934, SmoothL1=0.701073, accuracy=0.852598
[Epoch 128][Batch 499], Speed: 40.106632 samples/sec, CrossEntropy=1.716834, SmoothL1=0.701022, accuracy=0.852155
[Epoch 128] Training cost: 455.963178, CrossEntropy=1.719753, SmoothL1=0.702433, accuracy=0.851877
[Epoch 128] Validation:
aeroplane=0.798422
bicycle=0.855046
bird=0.748999
boat=0.677742
bottle=0.539732
bus=0.847370
car=0.866801
cat=0.856355
chair=0.601076
cow=0.830364
diningtable=0.694116
dog=0.837792
horse=0.858958
motorbike=0.842933
person=0.787481
pottedplant=0.474439
sheep=0.750251
sofa=0.776757
train=0.829527
tvmonitor=0.763575
mAP=0.761887
[Epoch 129][Batch 99], Speed: 37.793162 samples/sec, CrossEntropy=1.724741, SmoothL1=0.699112, accuracy=0.852698
[Epoch 129][Batch 199], Speed: 36.990284 samples/sec, CrossEntropy=1.736414, SmoothL1=0.707027, accuracy=0.851172
[Epoch 129][Batch 299], Speed: 38.191490 samples/sec, CrossEntropy=1.732282, SmoothL1=0.707457, accuracy=0.851523
[Epoch 129][Batch 399], Speed: 38.033031 samples/sec, CrossEntropy=1.732871, SmoothL1=0.707592, accuracy=0.851065
[Epoch 129][Batch 499], Speed: 39.670937 samples/sec, CrossEntropy=1.739795, SmoothL1=0.709484, accuracy=0.850632
[Epoch 129] Training cost: 454.701252, CrossEntropy=1.738842, SmoothL1=0.709346, accuracy=0.850622
[Epoch 129] Validation:
aeroplane=0.808322
bicycle=0.851164
bird=0.787224
boat=0.693205
bottle=0.548692
bus=0.863537
car=0.859271
cat=0.856209
chair=0.581993
cow=0.783480
diningtable=0.691679
dog=0.824775
horse=0.850272
motorbike=0.839758
person=0.803876
pottedplant=0.493426
sheep=0.742082
sofa=0.738543
train=0.852024
tvmonitor=0.775883
mAP=0.762271
[Epoch 130][Batch 99], Speed: 37.527244 samples/sec, CrossEntropy=1.723799, SmoothL1=0.712113, accuracy=0.852422
[Epoch 130][Batch 199], Speed: 39.104687 samples/sec, CrossEntropy=1.727497, SmoothL1=0.714741, accuracy=0.851428
[Epoch 130][Batch 299], Speed: 36.544284 samples/sec, CrossEntropy=1.735911, SmoothL1=0.716666, accuracy=0.850860
[Epoch 130][Batch 399], Speed: 39.300511 samples/sec, CrossEntropy=1.744394, SmoothL1=0.717365, accuracy=0.850302
[Epoch 130][Batch 499], Speed: 36.831354 samples/sec, CrossEntropy=1.742115, SmoothL1=0.714063, accuracy=0.850693
[Epoch 130] Training cost: 456.677356, CrossEntropy=1.743196, SmoothL1=0.714149, accuracy=0.850569
[Epoch 130] Validation:
aeroplane=0.794248
bicycle=0.856507
bird=0.774231
boat=0.679285
bottle=0.554049
bus=0.864154
car=0.868545
cat=0.861362
chair=0.614914
cow=0.829233
diningtable=0.715452
dog=0.838607
horse=0.838909
motorbike=0.836393
person=0.797865
pottedplant=0.493951
sheep=0.765291
sofa=0.778117
train=0.855250
tvmonitor=0.785925
mAP=0.770114
[Epoch 131][Batch 99], Speed: 39.075668 samples/sec, CrossEntropy=1.714714, SmoothL1=0.672654, accuracy=0.854513
[Epoch 131][Batch 199], Speed: 37.282650 samples/sec, CrossEntropy=1.716365, SmoothL1=0.685157, accuracy=0.853114
[Epoch 131][Batch 299], Speed: 37.821618 samples/sec, CrossEntropy=1.720131, SmoothL1=0.696579, accuracy=0.852587
[Epoch 131][Batch 399], Speed: 36.705829 samples/sec, CrossEntropy=1.723119, SmoothL1=0.701242, accuracy=0.852195
[Epoch 131][Batch 499], Speed: 39.825765 samples/sec, CrossEntropy=1.725508, SmoothL1=0.704881, accuracy=0.851726
[Epoch 131] Training cost: 455.207640, CrossEntropy=1.726034, SmoothL1=0.704952, accuracy=0.851735
[Epoch 131] Validation:
aeroplane=0.810687
bicycle=0.852083
bird=0.772946
boat=0.692817
bottle=0.537823
bus=0.867446
car=0.865231
cat=0.841208
chair=0.612680
cow=0.831106
diningtable=0.701828
dog=0.840751
horse=0.860193
motorbike=0.841568
person=0.803190
pottedplant=0.475488
sheep=0.763902
sofa=0.771774
train=0.858794
tvmonitor=0.786387
mAP=0.769395
[Epoch 132][Batch 99], Speed: 36.409640 samples/sec, CrossEntropy=1.711317, SmoothL1=0.702781, accuracy=0.852716
[Epoch 132][Batch 199], Speed: 37.810942 samples/sec, CrossEntropy=1.716089, SmoothL1=0.704823, accuracy=0.852185
[Epoch 132][Batch 299], Speed: 37.718678 samples/sec, CrossEntropy=1.717289, SmoothL1=0.705559, accuracy=0.852121
[Epoch 132][Batch 399], Speed: 37.719515 samples/sec, CrossEntropy=1.723876, SmoothL1=0.712665, accuracy=0.851687
[Epoch 132][Batch 499], Speed: 39.512956 samples/sec, CrossEntropy=1.724928, SmoothL1=0.713622, accuracy=0.851649
[Epoch 132] Training cost: 455.656858, CrossEntropy=1.725051, SmoothL1=0.713559, accuracy=0.851625
[Epoch 132] Validation:
aeroplane=0.795745
bicycle=0.845967
bird=0.777269
boat=0.679625
bottle=0.520101
bus=0.833674
car=0.855852
cat=0.871246
chair=0.583628
cow=0.815507
diningtable=0.717841
dog=0.840949
horse=0.857489
motorbike=0.839307
person=0.804023
pottedplant=0.478206
sheep=0.760635
sofa=0.780555
train=0.839596
tvmonitor=0.777896
mAP=0.763756
[Epoch 133][Batch 99], Speed: 33.027934 samples/sec, CrossEntropy=1.691724, SmoothL1=0.709768, accuracy=0.854060
[Epoch 133][Batch 199], Speed: 38.305688 samples/sec, CrossEntropy=1.708342, SmoothL1=0.714036, accuracy=0.853085
[Epoch 133][Batch 299], Speed: 38.723295 samples/sec, CrossEntropy=1.711192, SmoothL1=0.708823, accuracy=0.852562
[Epoch 133][Batch 399], Speed: 37.554188 samples/sec, CrossEntropy=1.717227, SmoothL1=0.709012, accuracy=0.852083
[Epoch 133][Batch 499], Speed: 38.004707 samples/sec, CrossEntropy=1.720467, SmoothL1=0.708451, accuracy=0.851716
[Epoch 133] Training cost: 456.244267, CrossEntropy=1.720921, SmoothL1=0.708086, accuracy=0.851720
[Epoch 133] Validation:
aeroplane=0.796127
bicycle=0.846104
bird=0.779918
boat=0.664429
bottle=0.529338
bus=0.860692
car=0.867086
cat=0.874160
chair=0.597113
cow=0.807508
diningtable=0.679920
dog=0.829305
horse=0.850225
motorbike=0.853771
person=0.795855
pottedplant=0.468857
sheep=0.728953
sofa=0.779057
train=0.835459
tvmonitor=0.768195
mAP=0.760604
[Epoch 134][Batch 99], Speed: 38.675604 samples/sec, CrossEntropy=1.718775, SmoothL1=0.703896, accuracy=0.854045
[Epoch 134][Batch 199], Speed: 36.111146 samples/sec, CrossEntropy=1.723076, SmoothL1=0.706599, accuracy=0.853464
[Epoch 134][Batch 299], Speed: 37.876682 samples/sec, CrossEntropy=1.722286, SmoothL1=0.705149, accuracy=0.852765
[Epoch 134][Batch 399], Speed: 34.868839 samples/sec, CrossEntropy=1.735760, SmoothL1=0.709157, accuracy=0.851298
[Epoch 134][Batch 499], Speed: 39.544447 samples/sec, CrossEntropy=1.736853, SmoothL1=0.711503, accuracy=0.851389
[Epoch 134] Training cost: 456.173267, CrossEntropy=1.737434, SmoothL1=0.711003, accuracy=0.851437
[Epoch 134] Validation:
aeroplane=0.791882
bicycle=0.865574
bird=0.764468
boat=0.666950
bottle=0.520617
bus=0.865667
car=0.863388
cat=0.837994
chair=0.599060
cow=0.809554
diningtable=0.705621
dog=0.806805
horse=0.857153
motorbike=0.830117
person=0.796679
pottedplant=0.481807
sheep=0.721040
sofa=0.790010
train=0.844030
tvmonitor=0.772389
mAP=0.759540
[Epoch 135][Batch 99], Speed: 37.207832 samples/sec, CrossEntropy=1.711217, SmoothL1=0.698841, accuracy=0.853140
[Epoch 135][Batch 199], Speed: 40.185863 samples/sec, CrossEntropy=1.709837, SmoothL1=0.699694, accuracy=0.852603
[Epoch 135][Batch 299], Speed: 33.447792 samples/sec, CrossEntropy=1.711971, SmoothL1=0.700529, accuracy=0.852504
[Epoch 135][Batch 399], Speed: 34.050739 samples/sec, CrossEntropy=1.719580, SmoothL1=0.704786, accuracy=0.852073
[Epoch 135][Batch 499], Speed: 37.442363 samples/sec, CrossEntropy=1.719532, SmoothL1=0.702177, accuracy=0.851984
[Epoch 135] Training cost: 454.931036, CrossEntropy=1.720960, SmoothL1=0.703646, accuracy=0.851873
[Epoch 135] Validation:
aeroplane=0.785712
bicycle=0.831038
bird=0.769020
boat=0.674484
bottle=0.504978
bus=0.862016
car=0.864707
cat=0.874990
chair=0.601822
cow=0.828890
diningtable=0.707407
dog=0.831946
horse=0.865995
motorbike=0.843354
person=0.799417
pottedplant=0.482780
sheep=0.763692
sofa=0.766821
train=0.835817
tvmonitor=0.762025
mAP=0.762846
[Epoch 136][Batch 99], Speed: 37.028645 samples/sec, CrossEntropy=1.727346, SmoothL1=0.701717, accuracy=0.852280
[Epoch 136][Batch 199], Speed: 38.147647 samples/sec, CrossEntropy=1.721715, SmoothL1=0.706824, accuracy=0.852048
[Epoch 136][Batch 299], Speed: 38.508702 samples/sec, CrossEntropy=1.714072, SmoothL1=0.704157, accuracy=0.852347
[Epoch 136][Batch 399], Speed: 39.203053 samples/sec, CrossEntropy=1.730735, SmoothL1=0.712136, accuracy=0.851336
[Epoch 136][Batch 499], Speed: 37.423613 samples/sec, CrossEntropy=1.733221, SmoothL1=0.710300, accuracy=0.851277
[Epoch 136] Training cost: 456.220628, CrossEntropy=1.733769, SmoothL1=0.710388, accuracy=0.851242
[Epoch 136] Validation:
aeroplane=0.809428
bicycle=0.827810
bird=0.761439
boat=0.666360
bottle=0.494497
bus=0.861648
car=0.860211
cat=0.870126
chair=0.586282
cow=0.821709
diningtable=0.701401
dog=0.830404
horse=0.850893
motorbike=0.825386
person=0.796646
pottedplant=0.511150
sheep=0.763956
sofa=0.782187
train=0.845957
tvmonitor=0.758581
mAP=0.761303
[Epoch 137][Batch 99], Speed: 38.487257 samples/sec, CrossEntropy=1.682458, SmoothL1=0.698699, accuracy=0.855165
[Epoch 137][Batch 199], Speed: 37.264463 samples/sec, CrossEntropy=1.693414, SmoothL1=0.704424, accuracy=0.854012
[Epoch 137][Batch 299], Speed: 37.486828 samples/sec, CrossEntropy=1.701539, SmoothL1=0.707109, accuracy=0.853396
[Epoch 137][Batch 399], Speed: 37.559222 samples/sec, CrossEntropy=1.715735, SmoothL1=0.704295, accuracy=0.852593
[Epoch 137][Batch 499], Speed: 38.438494 samples/sec, CrossEntropy=1.713421, SmoothL1=0.701169, accuracy=0.852681
[Epoch 137] Training cost: 455.852254, CrossEntropy=1.716342, SmoothL1=0.702319, accuracy=0.852438
[Epoch 137] Validation:
aeroplane=0.801602
bicycle=0.841534
bird=0.772299
boat=0.648953
bottle=0.539333
bus=0.842962
car=0.866232
cat=0.833379
chair=0.600107
cow=0.843391
diningtable=0.725844
dog=0.832973
horse=0.867956
motorbike=0.807709
person=0.798906
pottedplant=0.461536
sheep=0.752198
sofa=0.778332
train=0.841287
tvmonitor=0.763706
mAP=0.761012
[Epoch 138][Batch 99], Speed: 37.288036 samples/sec, CrossEntropy=1.688516, SmoothL1=0.674359, accuracy=0.855384
[Epoch 138][Batch 199], Speed: 39.239592 samples/sec, CrossEntropy=1.698774, SmoothL1=0.684735, accuracy=0.854527
[Epoch 138][Batch 299], Speed: 38.796667 samples/sec, CrossEntropy=1.695528, SmoothL1=0.689539, accuracy=0.853967
[Epoch 138][Batch 399], Speed: 38.278158 samples/sec, CrossEntropy=1.707059, SmoothL1=0.696976, accuracy=0.852801
[Epoch 138][Batch 499], Speed: 39.085067 samples/sec, CrossEntropy=1.705877, SmoothL1=0.694673, accuracy=0.853001
[Epoch 138] Training cost: 455.075169, CrossEntropy=1.706992, SmoothL1=0.695547, accuracy=0.852924
[Epoch 138] Validation:
aeroplane=0.801375
bicycle=0.862369
bird=0.780832
boat=0.642684
bottle=0.508799
bus=0.861918
car=0.867416
cat=0.861606
chair=0.595098
cow=0.814741
diningtable=0.692371
dog=0.825163
horse=0.861492
motorbike=0.826216
person=0.797334
pottedplant=0.469535
sheep=0.744617
sofa=0.767787
train=0.858922
tvmonitor=0.783916
mAP=0.761210
[Epoch 139][Batch 99], Speed: 37.148442 samples/sec, CrossEntropy=1.705096, SmoothL1=0.701035, accuracy=0.853391
[Epoch 139][Batch 199], Speed: 38.019111 samples/sec, CrossEntropy=1.696203, SmoothL1=0.697017, accuracy=0.853954
[Epoch 139][Batch 299], Speed: 39.048304 samples/sec, CrossEntropy=1.692159, SmoothL1=0.692582, accuracy=0.853935
[Epoch 139][Batch 399], Speed: 36.238324 samples/sec, CrossEntropy=1.701978, SmoothL1=0.695358, accuracy=0.853144
[Epoch 139][Batch 499], Speed: 38.592666 samples/sec, CrossEntropy=1.704647, SmoothL1=0.694364, accuracy=0.853233
[Epoch 139] Training cost: 455.236452, CrossEntropy=1.705721, SmoothL1=0.694440, accuracy=0.853158
[Epoch 139] Validation:
aeroplane=0.815947
bicycle=0.852780
bird=0.769009
boat=0.668903
bottle=0.509562
bus=0.863339
car=0.870710
cat=0.855039
chair=0.596869
cow=0.811739
diningtable=0.727639
dog=0.822919
horse=0.865277
motorbike=0.835764
person=0.795198
pottedplant=0.488514
sheep=0.764431
sofa=0.715602
train=0.863080
tvmonitor=0.786310
mAP=0.763931
[Epoch 140][Batch 99], Speed: 38.303949 samples/sec, CrossEntropy=1.686586, SmoothL1=0.697871, accuracy=0.855558
[Epoch 140][Batch 199], Speed: 38.221192 samples/sec, CrossEntropy=1.691054, SmoothL1=0.695392, accuracy=0.854793
[Epoch 140][Batch 299], Speed: 37.382951 samples/sec, CrossEntropy=1.683163, SmoothL1=0.690679, accuracy=0.855246
[Epoch 140][Batch 399], Speed: 38.071210 samples/sec, CrossEntropy=1.695957, SmoothL1=0.693576, accuracy=0.854618
[Epoch 140][Batch 499], Speed: 37.644318 samples/sec, CrossEntropy=1.696519, SmoothL1=0.695022, accuracy=0.854526
[Epoch 140] Training cost: 456.044219, CrossEntropy=1.695809, SmoothL1=0.693209, accuracy=0.854560
[Epoch 140] Validation:
aeroplane=0.790519
bicycle=0.861526
bird=0.769405
boat=0.664007
bottle=0.539839
bus=0.852985
car=0.865446
cat=0.865390
chair=0.597676
cow=0.812151
diningtable=0.707332
dog=0.828250
horse=0.862902
motorbike=0.833012
person=0.790533
pottedplant=0.522394
sheep=0.768994
sofa=0.776770
train=0.860075
tvmonitor=0.795000
mAP=0.768210
[Epoch 141][Batch 99], Speed: 36.237874 samples/sec, CrossEntropy=1.691479, SmoothL1=0.692310, accuracy=0.854894
[Epoch 141][Batch 199], Speed: 36.794672 samples/sec, CrossEntropy=1.695361, SmoothL1=0.702869, accuracy=0.854487
[Epoch 141][Batch 299], Speed: 37.632095 samples/sec, CrossEntropy=1.702082, SmoothL1=0.701941, accuracy=0.854011
[Epoch 141][Batch 399], Speed: 37.564372 samples/sec, CrossEntropy=1.706339, SmoothL1=0.702300, accuracy=0.853913
[Epoch 141][Batch 499], Speed: 40.853689 samples/sec, CrossEntropy=1.704270, SmoothL1=0.698427, accuracy=0.854052
[Epoch 141] Training cost: 455.254487, CrossEntropy=1.706055, SmoothL1=0.697831, accuracy=0.853982
[Epoch 141] Validation:
aeroplane=0.788606
bicycle=0.834341
bird=0.787076
boat=0.686199
bottle=0.553790
bus=0.878461
car=0.872840
cat=0.844387
chair=0.609058
cow=0.819561
diningtable=0.729896
dog=0.834559
horse=0.858392
motorbike=0.843009
person=0.796283
pottedplant=0.494725
sheep=0.777521
sofa=0.770233
train=0.853268
tvmonitor=0.783790
mAP=0.770800
[Epoch 142][Batch 99], Speed: 39.264433 samples/sec, CrossEntropy=1.690093, SmoothL1=0.682914, accuracy=0.855316
[Epoch 142][Batch 199], Speed: 31.469543 samples/sec, CrossEntropy=1.681310, SmoothL1=0.683628, accuracy=0.854877
[Epoch 142][Batch 299], Speed: 36.390508 samples/sec, CrossEntropy=1.686045, SmoothL1=0.687017, accuracy=0.854555
[Epoch 142][Batch 399], Speed: 37.456992 samples/sec, CrossEntropy=1.692370, SmoothL1=0.689971, accuracy=0.854405
[Epoch 142][Batch 499], Speed: 37.429259 samples/sec, CrossEntropy=1.692742, SmoothL1=0.687914, accuracy=0.854527
[Epoch 142] Training cost: 456.481732, CrossEntropy=1.694009, SmoothL1=0.688422, accuracy=0.854366
[Epoch 142] Validation:
aeroplane=0.812821
bicycle=0.855440
bird=0.773030
boat=0.704384
bottle=0.541476
bus=0.872596
car=0.866206
cat=0.874303
chair=0.615382
cow=0.799199
diningtable=0.749608
dog=0.834985
horse=0.857670
motorbike=0.827317
person=0.789051
pottedplant=0.489753
sheep=0.758552
sofa=0.794226
train=0.855641
tvmonitor=0.776987
mAP=0.772431
[Epoch 143][Batch 99], Speed: 38.640530 samples/sec, CrossEntropy=1.643361, SmoothL1=0.666724, accuracy=0.858628
[Epoch 143][Batch 199], Speed: 36.410558 samples/sec, CrossEntropy=1.659906, SmoothL1=0.679228, accuracy=0.857180
[Epoch 143][Batch 299], Speed: 34.918297 samples/sec, CrossEntropy=1.669945, SmoothL1=0.683494, accuracy=0.856901
[Epoch 143][Batch 399], Speed: 38.817054 samples/sec, CrossEntropy=1.675685, SmoothL1=0.687069, accuracy=0.856216
[Epoch 143][Batch 499], Speed: 39.825765 samples/sec, CrossEntropy=1.679910, SmoothL1=0.687481, accuracy=0.855885
[Epoch 143] Training cost: 456.289699, CrossEntropy=1.682766, SmoothL1=0.689019, accuracy=0.855718
[Epoch 143] Validation:
aeroplane=0.828701
bicycle=0.867505
bird=0.768390
boat=0.704722
bottle=0.518763
bus=0.863993
car=0.873634
cat=0.882661
chair=0.626904
cow=0.789953
diningtable=0.715940
dog=0.848261
horse=0.865808
motorbike=0.844883
person=0.797337
pottedplant=0.504145
sheep=0.769041
sofa=0.774146
train=0.862081
tvmonitor=0.762990
mAP=0.773493
[Epoch 144][Batch 99], Speed: 35.744688 samples/sec, CrossEntropy=1.670370, SmoothL1=0.667952, accuracy=0.857016
[Epoch 144][Batch 199], Speed: 37.765460 samples/sec, CrossEntropy=1.706218, SmoothL1=0.691381, accuracy=0.854554
[Epoch 144][Batch 299], Speed: 37.249281 samples/sec, CrossEntropy=1.707375, SmoothL1=0.692477, accuracy=0.854430
[Epoch 144][Batch 399], Speed: 38.815168 samples/sec, CrossEntropy=1.712203, SmoothL1=0.694925, accuracy=0.853646
[Epoch 144][Batch 499], Speed: 38.407168 samples/sec, CrossEntropy=1.709994, SmoothL1=0.695643, accuracy=0.853643
[Epoch 144] Training cost: 454.991390, CrossEntropy=1.708754, SmoothL1=0.695167, accuracy=0.853760
[Epoch 144] Validation:
aeroplane=0.825568
bicycle=0.851656
bird=0.770713
boat=0.694487
bottle=0.500203
bus=0.862104
car=0.871973
cat=0.877295
chair=0.621992
cow=0.846014
diningtable=0.723484
dog=0.843930
horse=0.854614
motorbike=0.833268
person=0.794326
pottedplant=0.514978
sheep=0.791538
sofa=0.774753
train=0.853870
tvmonitor=0.757789
mAP=0.773228
[Epoch 145][Batch 99], Speed: 37.458832 samples/sec, CrossEntropy=1.610874, SmoothL1=0.647422, accuracy=0.860779
[Epoch 145][Batch 199], Speed: 37.545783 samples/sec, CrossEntropy=1.645003, SmoothL1=0.672855, accuracy=0.857850
[Epoch 145][Batch 299], Speed: 36.383070 samples/sec, CrossEntropy=1.651407, SmoothL1=0.673006, accuracy=0.856977
[Epoch 145][Batch 399], Speed: 35.333937 samples/sec, CrossEntropy=1.669627, SmoothL1=0.679085, accuracy=0.855864
[Epoch 145][Batch 499], Speed: 39.734768 samples/sec, CrossEntropy=1.679763, SmoothL1=0.682377, accuracy=0.855218
[Epoch 145] Training cost: 455.191793, CrossEntropy=1.677960, SmoothL1=0.682566, accuracy=0.855305
[Epoch 145] Validation:
aeroplane=0.795808
bicycle=0.843151
bird=0.752001
boat=0.670231
bottle=0.549762
bus=0.852099
car=0.866847
cat=0.877382
chair=0.600319
cow=0.832817
diningtable=0.710917
dog=0.835266
horse=0.866872
motorbike=0.852790
person=0.800897
pottedplant=0.470073
sheep=0.759016
sofa=0.780853
train=0.848145
tvmonitor=0.771323
mAP=0.766828
[Epoch 146][Batch 99], Speed: 36.048821 samples/sec, CrossEntropy=1.633511, SmoothL1=0.667269, accuracy=0.859063
[Epoch 146][Batch 199], Speed: 36.375379 samples/sec, CrossEntropy=1.648550, SmoothL1=0.677513, accuracy=0.858090
[Epoch 146][Batch 299], Speed: 39.617096 samples/sec, CrossEntropy=1.662330, SmoothL1=0.683130, accuracy=0.856742
[Epoch 146][Batch 399], Speed: 37.339115 samples/sec, CrossEntropy=1.674104, SmoothL1=0.682320, accuracy=0.855896
[Epoch 146][Batch 499], Speed: 38.369025 samples/sec, CrossEntropy=1.667447, SmoothL1=0.678745, accuracy=0.856104
[Epoch 146] Training cost: 455.363480, CrossEntropy=1.668512, SmoothL1=0.679505, accuracy=0.856047
[Epoch 146] Validation:
aeroplane=0.821610
bicycle=0.860089
bird=0.772371
boat=0.701727
bottle=0.495065
bus=0.856911
car=0.865626
cat=0.885414
chair=0.604118
cow=0.809766
diningtable=0.718615
dog=0.837000
horse=0.863730
motorbike=0.844255
person=0.802045
pottedplant=0.500225
sheep=0.745149
sofa=0.735253
train=0.853224
tvmonitor=0.785024
mAP=0.767861
[Epoch 147][Batch 99], Speed: 35.681552 samples/sec, CrossEntropy=1.697966, SmoothL1=0.697061, accuracy=0.854621
[Epoch 147][Batch 199], Speed: 36.188249 samples/sec, CrossEntropy=1.700863, SmoothL1=0.692793, accuracy=0.854272
[Epoch 147][Batch 299], Speed: 38.227440 samples/sec, CrossEntropy=1.689699, SmoothL1=0.688519, accuracy=0.854708
[Epoch 147][Batch 399], Speed: 37.282568 samples/sec, CrossEntropy=1.689631, SmoothL1=0.687440, accuracy=0.854577
[Epoch 147][Batch 499], Speed: 39.829335 samples/sec, CrossEntropy=1.690405, SmoothL1=0.688572, accuracy=0.854420
[Epoch 147] Training cost: 455.130774, CrossEntropy=1.693060, SmoothL1=0.688994, accuracy=0.854228
[Epoch 147] Validation:
aeroplane=0.806317
bicycle=0.845191
bird=0.739225
boat=0.687878
bottle=0.548037
bus=0.862005
car=0.861205
cat=0.866303
chair=0.608499
cow=0.828077
diningtable=0.705313
dog=0.804420
horse=0.851815
motorbike=0.823200
person=0.798697
pottedplant=0.498557
sheep=0.763881
sofa=0.723146
train=0.845283
tvmonitor=0.785432
mAP=0.762624
[Epoch 148][Batch 99], Speed: 34.305570 samples/sec, CrossEntropy=1.655787, SmoothL1=0.668548, accuracy=0.857874
[Epoch 148][Batch 199], Speed: 38.922665 samples/sec, CrossEntropy=1.671903, SmoothL1=0.680061, accuracy=0.856322
[Epoch 148][Batch 299], Speed: 37.986261 samples/sec, CrossEntropy=1.677633, SmoothL1=0.680060, accuracy=0.855824
[Epoch 148][Batch 399], Speed: 35.017717 samples/sec, CrossEntropy=1.683703, SmoothL1=0.681003, accuracy=0.855278
[Epoch 148][Batch 499], Speed: 38.366908 samples/sec, CrossEntropy=1.683294, SmoothL1=0.679833, accuracy=0.855228
[Epoch 148] Training cost: 456.141340, CrossEntropy=1.684894, SmoothL1=0.679970, accuracy=0.855125
[Epoch 148] Validation:
aeroplane=0.801317
bicycle=0.848501
bird=0.785837
boat=0.679540
bottle=0.541152
bus=0.854580
car=0.869000
cat=0.883832
chair=0.597438
cow=0.838541
diningtable=0.728780
dog=0.832614
horse=0.861295
motorbike=0.840667
person=0.798739
pottedplant=0.485263
sheep=0.741093
sofa=0.784401
train=0.843030
tvmonitor=0.781657
mAP=0.769864
[Epoch 149][Batch 99], Speed: 35.073757 samples/sec, CrossEntropy=1.679846, SmoothL1=0.685862, accuracy=0.855206
[Epoch 149][Batch 199], Speed: 34.521296 samples/sec, CrossEntropy=1.675878, SmoothL1=0.678790, accuracy=0.855345
[Epoch 149][Batch 299], Speed: 36.000282 samples/sec, CrossEntropy=1.686218, SmoothL1=0.689611, accuracy=0.854599
[Epoch 149][Batch 399], Speed: 37.117591 samples/sec, CrossEntropy=1.684954, SmoothL1=0.689839, accuracy=0.854832
[Epoch 149][Batch 499], Speed: 40.486146 samples/sec, CrossEntropy=1.678159, SmoothL1=0.688233, accuracy=0.855279
[Epoch 149] Training cost: 453.521625, CrossEntropy=1.677903, SmoothL1=0.686755, accuracy=0.855346
[Epoch 149] Validation:
aeroplane=0.820697
bicycle=0.837445
bird=0.781961
boat=0.689130
bottle=0.519775
bus=0.864056
car=0.869182
cat=0.860134
chair=0.601514
cow=0.837772
diningtable=0.724168
dog=0.842180
horse=0.866291
motorbike=0.848765
person=0.800128
pottedplant=0.493674
sheep=0.774658
sofa=0.761689
train=0.847140
tvmonitor=0.778861
mAP=0.770961
[Epoch 150][Batch 99], Speed: 37.191830 samples/sec, CrossEntropy=1.636513, SmoothL1=0.653804, accuracy=0.858995
[Epoch 150][Batch 199], Speed: 37.150601 samples/sec, CrossEntropy=1.666055, SmoothL1=0.672728, accuracy=0.856420
[Epoch 150][Batch 299], Speed: 36.539648 samples/sec, CrossEntropy=1.669746, SmoothL1=0.679966, accuracy=0.856111
[Epoch 150][Batch 399], Speed: 35.891901 samples/sec, CrossEntropy=1.669105, SmoothL1=0.677092, accuracy=0.856137
[Epoch 150][Batch 499], Speed: 37.798739 samples/sec, CrossEntropy=1.675037, SmoothL1=0.680612, accuracy=0.855702
[Epoch 150] Training cost: 454.830007, CrossEntropy=1.676912, SmoothL1=0.681680, accuracy=0.855720
[Epoch 150] Validation:
aeroplane=0.839477
bicycle=0.842299
bird=0.784951
boat=0.696528
bottle=0.567846
bus=0.866434
car=0.865974
cat=0.878204
chair=0.605804
cow=0.834653
diningtable=0.724464
dog=0.817496
horse=0.856915
motorbike=0.815585
person=0.798717
pottedplant=0.494954
sheep=0.753115
sofa=0.782839
train=0.860531
tvmonitor=0.763623
mAP=0.772520
[Epoch 151][Batch 99], Speed: 37.268064 samples/sec, CrossEntropy=1.646005, SmoothL1=0.658082, accuracy=0.857151
[Epoch 151][Batch 199], Speed: 34.310244 samples/sec, CrossEntropy=1.664550, SmoothL1=0.679330, accuracy=0.856346
[Epoch 151][Batch 299], Speed: 38.808053 samples/sec, CrossEntropy=1.666401, SmoothL1=0.681740, accuracy=0.855986
[Epoch 151][Batch 399], Speed: 37.792172 samples/sec, CrossEntropy=1.671071, SmoothL1=0.680477, accuracy=0.856031
[Epoch 151][Batch 499], Speed: 39.342247 samples/sec, CrossEntropy=1.670070, SmoothL1=0.680045, accuracy=0.856082
[Epoch 151] Training cost: 456.361079, CrossEntropy=1.670333, SmoothL1=0.681572, accuracy=0.856052
[Epoch 151] Validation:
aeroplane=0.812914
bicycle=0.823697
bird=0.768711
boat=0.677470
bottle=0.549100
bus=0.857850
car=0.868724
cat=0.871539
chair=0.581438
cow=0.808619
diningtable=0.699878
dog=0.835084
horse=0.856858
motorbike=0.853856
person=0.793875
pottedplant=0.487439
sheep=0.760434
sofa=0.779638
train=0.854742
tvmonitor=0.788769
mAP=0.766532
[Epoch 152][Batch 99], Speed: 37.384180 samples/sec, CrossEntropy=1.616825, SmoothL1=0.661810, accuracy=0.860546
[Epoch 152][Batch 199], Speed: 36.775476 samples/sec, CrossEntropy=1.636672, SmoothL1=0.669578, accuracy=0.858413
[Epoch 152][Batch 299], Speed: 36.990243 samples/sec, CrossEntropy=1.641226, SmoothL1=0.672460, accuracy=0.857849
[Epoch 152][Batch 399], Speed: 38.443658 samples/sec, CrossEntropy=1.644980, SmoothL1=0.669377, accuracy=0.857600
[Epoch 152][Batch 499], Speed: 30.046072 samples/sec, CrossEntropy=1.656894, SmoothL1=0.671795, accuracy=0.856853
[Epoch 152] Training cost: 455.922896, CrossEntropy=1.657314, SmoothL1=0.671221, accuracy=0.856776
[Epoch 152] Validation:
aeroplane=0.779120
bicycle=0.856841
bird=0.767868
boat=0.663463
bottle=0.553604
bus=0.865942
car=0.860776
cat=0.864267
chair=0.606913
cow=0.814366
diningtable=0.727660
dog=0.827114
horse=0.863419
motorbike=0.846235
person=0.805762
pottedplant=0.521178
sheep=0.749803
sofa=0.764399
train=0.859626
tvmonitor=0.782784
mAP=0.769057
[Epoch 153][Batch 99], Speed: 40.136568 samples/sec, CrossEntropy=1.640829, SmoothL1=0.662495, accuracy=0.858887
[Epoch 153][Batch 199], Speed: 38.432485 samples/sec, CrossEntropy=1.652649, SmoothL1=0.665590, accuracy=0.857803
[Epoch 153][Batch 299], Speed: 39.127122 samples/sec, CrossEntropy=1.661618, SmoothL1=0.672764, accuracy=0.857069
[Epoch 153][Batch 399], Speed: 39.582209 samples/sec, CrossEntropy=1.662214, SmoothL1=0.673845, accuracy=0.856835
[Epoch 153][Batch 499], Speed: 36.597446 samples/sec, CrossEntropy=1.659278, SmoothL1=0.673054, accuracy=0.856949
[Epoch 153] Training cost: 455.894060, CrossEntropy=1.659432, SmoothL1=0.672217, accuracy=0.856976
[Epoch 153] Validation:
aeroplane=0.821235
bicycle=0.853382
bird=0.783686
boat=0.686610
bottle=0.522571
bus=0.864692
car=0.868046
cat=0.868734
chair=0.585166
cow=0.817415
diningtable=0.718316
dog=0.842199
horse=0.868596
motorbike=0.859661
person=0.797226
pottedplant=0.470979
sheep=0.776291
sofa=0.770725
train=0.864510
tvmonitor=0.781150
mAP=0.771059
[Epoch 154][Batch 99], Speed: 39.551975 samples/sec, CrossEntropy=1.658065, SmoothL1=0.683434, accuracy=0.857058
[Epoch 154][Batch 199], Speed: 38.584201 samples/sec, CrossEntropy=1.652052, SmoothL1=0.683116, accuracy=0.857332
[Epoch 154][Batch 299], Speed: 35.121225 samples/sec, CrossEntropy=1.637893, SmoothL1=0.673979, accuracy=0.858231
[Epoch 154][Batch 399], Speed: 38.775707 samples/sec, CrossEntropy=1.659677, SmoothL1=0.678697, accuracy=0.857025
[Epoch 154][Batch 499], Speed: 39.935555 samples/sec, CrossEntropy=1.671065, SmoothL1=0.683046, accuracy=0.856141
[Epoch 154] Training cost: 454.763775, CrossEntropy=1.670790, SmoothL1=0.682926, accuracy=0.856202
[Epoch 154] Validation:
aeroplane=0.826217
bicycle=0.857226
bird=0.799776
boat=0.688846
bottle=0.527022
bus=0.847482
car=0.866770
cat=0.872949
chair=0.617059
cow=0.832402
diningtable=0.707978
dog=0.838059
horse=0.867333
motorbike=0.838874
person=0.799659
pottedplant=0.491018
sheep=0.754748
sofa=0.791192
train=0.843961
tvmonitor=0.776434
mAP=0.772250
[Epoch 155][Batch 99], Speed: 38.619783 samples/sec, CrossEntropy=1.635370, SmoothL1=0.663136, accuracy=0.860859
[Epoch 155][Batch 199], Speed: 37.170828 samples/sec, CrossEntropy=1.633552, SmoothL1=0.667150, accuracy=0.860504
[Epoch 155][Batch 299], Speed: 37.334857 samples/sec, CrossEntropy=1.643388, SmoothL1=0.668455, accuracy=0.859421
[Epoch 155][Batch 399], Speed: 29.741768 samples/sec, CrossEntropy=1.661197, SmoothL1=0.676975, accuracy=0.857973
[Epoch 155][Batch 499], Speed: 39.172812 samples/sec, CrossEntropy=1.663927, SmoothL1=0.680168, accuracy=0.857348
[Epoch 155] Training cost: 455.174305, CrossEntropy=1.663612, SmoothL1=0.681051, accuracy=0.857268
[Epoch 155] Validation:
aeroplane=0.807219
bicycle=0.865313
bird=0.777204
boat=0.655450
bottle=0.521452
bus=0.851785
car=0.870832
cat=0.861880
chair=0.591009
cow=0.820113
diningtable=0.724994
dog=0.840363
horse=0.857765
motorbike=0.858116
person=0.790625
pottedplant=0.439296
sheep=0.768465
sofa=0.770565
train=0.851902
tvmonitor=0.758252
mAP=0.764130
[Epoch 156][Batch 99], Speed: 35.666959 samples/sec, CrossEntropy=1.600621, SmoothL1=0.659025, accuracy=0.860777
[Epoch 156][Batch 199], Speed: 39.910700 samples/sec, CrossEntropy=1.622773, SmoothL1=0.670655, accuracy=0.860602
[Epoch 156][Batch 299], Speed: 37.624711 samples/sec, CrossEntropy=1.637413, SmoothL1=0.674410, accuracy=0.858980
[Epoch 156][Batch 399], Speed: 29.972989 samples/sec, CrossEntropy=1.648949, SmoothL1=0.676826, accuracy=0.858134
[Epoch 156][Batch 499], Speed: 38.289929 samples/sec, CrossEntropy=1.654759, SmoothL1=0.677627, accuracy=0.857603
[Epoch 156] Training cost: 455.446723, CrossEntropy=1.655247, SmoothL1=0.677226, accuracy=0.857642
[Epoch 156] Validation:
aeroplane=0.793789
bicycle=0.845227
bird=0.783034
boat=0.694156
bottle=0.516098
bus=0.855891
car=0.868979
cat=0.874932
chair=0.599078
cow=0.826326
diningtable=0.719487
dog=0.805227
horse=0.869975
motorbike=0.846176
person=0.797639
pottedplant=0.514065
sheep=0.763522
sofa=0.746028
train=0.852436
tvmonitor=0.768066
mAP=0.767007
[Epoch 157][Batch 99], Speed: 36.902118 samples/sec, CrossEntropy=1.653468, SmoothL1=0.659955, accuracy=0.859075
[Epoch 157][Batch 199], Speed: 36.812797 samples/sec, CrossEntropy=1.647830, SmoothL1=0.670844, accuracy=0.858450
[Epoch 157][Batch 299], Speed: 36.481706 samples/sec, CrossEntropy=1.640843, SmoothL1=0.663820, accuracy=0.858679
[Epoch 157][Batch 399], Speed: 36.286938 samples/sec, CrossEntropy=1.641914, SmoothL1=0.661564, accuracy=0.858376
[Epoch 157][Batch 499], Speed: 37.412680 samples/sec, CrossEntropy=1.650666, SmoothL1=0.664471, accuracy=0.857881
[Epoch 157] Training cost: 456.908039, CrossEntropy=1.652436, SmoothL1=0.664568, accuracy=0.857744
[Epoch 157] Validation:
aeroplane=0.812286
bicycle=0.841269
bird=0.784495
boat=0.691498
bottle=0.524622
bus=0.845483
car=0.863715
cat=0.864590
chair=0.613469
cow=0.784152
diningtable=0.716474
dog=0.826649
horse=0.856060
motorbike=0.838692
person=0.790823
pottedplant=0.509074
sheep=0.769695
sofa=0.770755
train=0.857854
tvmonitor=0.753803
mAP=0.765773
[Epoch 158][Batch 99], Speed: 38.701142 samples/sec, CrossEntropy=1.608961, SmoothL1=0.639999, accuracy=0.860574
[Epoch 158][Batch 199], Speed: 35.844463 samples/sec, CrossEntropy=1.632434, SmoothL1=0.656934, accuracy=0.859058
[Epoch 158][Batch 299], Speed: 36.156313 samples/sec, CrossEntropy=1.634640, SmoothL1=0.657685, accuracy=0.859278
[Epoch 158][Batch 399], Speed: 38.863632 samples/sec, CrossEntropy=1.645705, SmoothL1=0.662519, accuracy=0.858233
[Epoch 158][Batch 499], Speed: 37.214403 samples/sec, CrossEntropy=1.646987, SmoothL1=0.661431, accuracy=0.858004
[Epoch 158] Training cost: 454.528553, CrossEntropy=1.646577, SmoothL1=0.660505, accuracy=0.858001
[Epoch 158] Validation:
aeroplane=0.810104
bicycle=0.846246
bird=0.785094
boat=0.683692
bottle=0.516501
bus=0.851052
car=0.866728
cat=0.861644
chair=0.612026
cow=0.838132
diningtable=0.696981
dog=0.806585
horse=0.859547
motorbike=0.834904
person=0.791142
pottedplant=0.520388
sheep=0.760717
sofa=0.763827
train=0.822171
tvmonitor=0.787451
mAP=0.765747
[Epoch 159][Batch 99], Speed: 39.402363 samples/sec, CrossEntropy=1.623030, SmoothL1=0.652238, accuracy=0.860506
[Epoch 159][Batch 199], Speed: 37.515664 samples/sec, CrossEntropy=1.646005, SmoothL1=0.660481, accuracy=0.858272
[Epoch 159][Batch 299], Speed: 37.231468 samples/sec, CrossEntropy=1.648826, SmoothL1=0.664935, accuracy=0.858165
[Epoch 159][Batch 399], Speed: 37.081463 samples/sec, CrossEntropy=1.651272, SmoothL1=0.667205, accuracy=0.857916
[Epoch 159][Batch 499], Speed: 37.613260 samples/sec, CrossEntropy=1.646707, SmoothL1=0.665801, accuracy=0.858179
[Epoch 159] Training cost: 454.200737, CrossEntropy=1.648333, SmoothL1=0.666259, accuracy=0.858158
[Epoch 159] Validation:
aeroplane=0.813812
bicycle=0.832050
bird=0.760506
boat=0.647803
bottle=0.533203
bus=0.861989
car=0.868072
cat=0.861924
chair=0.617792
cow=0.808568
diningtable=0.697927
dog=0.828107
horse=0.860614
motorbike=0.843429
person=0.802813
pottedplant=0.499529
sheep=0.776564
sofa=0.768523
train=0.845384
tvmonitor=0.775723
mAP=0.765217
[Epoch 160] Set learning rate to 0.0001
[Epoch 160][Batch 99], Speed: 35.530411 samples/sec, CrossEntropy=1.586229, SmoothL1=0.639470, accuracy=0.862172
[Epoch 160][Batch 199], Speed: 38.079689 samples/sec, CrossEntropy=1.553031, SmoothL1=0.618272, accuracy=0.865487
[Epoch 160][Batch 299], Speed: 36.626558 samples/sec, CrossEntropy=1.540079, SmoothL1=0.618302, accuracy=0.866230
[Epoch 160][Batch 399], Speed: 37.149439 samples/sec, CrossEntropy=1.536055, SmoothL1=0.615045, accuracy=0.867011
[Epoch 160][Batch 499], Speed: 35.233410 samples/sec, CrossEntropy=1.531212, SmoothL1=0.612458, accuracy=0.867400
[Epoch 160] Training cost: 454.825854, CrossEntropy=1.528482, SmoothL1=0.611760, accuracy=0.867636
[Epoch 160] Validation:
aeroplane=0.814066
bicycle=0.868533
bird=0.798810
boat=0.702919
bottle=0.569474
bus=0.859713
car=0.873145
cat=0.875563
chair=0.631071
cow=0.843395
diningtable=0.733162
dog=0.849951
horse=0.874536
motorbike=0.855642
person=0.806019
pottedplant=0.523195
sheep=0.783462
sofa=0.795659
train=0.861226
tvmonitor=0.792033
mAP=0.785579
[Epoch 161][Batch 99], Speed: 39.160640 samples/sec, CrossEntropy=1.500951, SmoothL1=0.604697, accuracy=0.870587
[Epoch 161][Batch 199], Speed: 37.640200 samples/sec, CrossEntropy=1.504124, SmoothL1=0.604608, accuracy=0.870061
[Epoch 161][Batch 299], Speed: 35.514363 samples/sec, CrossEntropy=1.501128, SmoothL1=0.605680, accuracy=0.870014
[Epoch 161][Batch 399], Speed: 37.453751 samples/sec, CrossEntropy=1.500180, SmoothL1=0.602431, accuracy=0.870097
[Epoch 161][Batch 499], Speed: 32.817956 samples/sec, CrossEntropy=1.496989, SmoothL1=0.600857, accuracy=0.870296
[Epoch 161] Training cost: 454.187015, CrossEntropy=1.495176, SmoothL1=0.600105, accuracy=0.870516
[Epoch 161] Validation:
aeroplane=0.834148
bicycle=0.848363
bird=0.796926
boat=0.689492
bottle=0.570247
bus=0.859341
car=0.872294
cat=0.879604
chair=0.621238
cow=0.849761
diningtable=0.720390
dog=0.850276
horse=0.877135
motorbike=0.845311
person=0.809828
pottedplant=0.525568
sheep=0.790377
sofa=0.795086
train=0.869360
tvmonitor=0.786644
mAP=0.784569
[Epoch 162][Batch 99], Speed: 37.834273 samples/sec, CrossEntropy=1.484354, SmoothL1=0.607801, accuracy=0.871178
[Epoch 162][Batch 199], Speed: 39.319530 samples/sec, CrossEntropy=1.480794, SmoothL1=0.606532, accuracy=0.871415
[Epoch 162][Batch 299], Speed: 29.669572 samples/sec, CrossEntropy=1.470836, SmoothL1=0.599627, accuracy=0.872039
[Epoch 162][Batch 399], Speed: 37.794726 samples/sec, CrossEntropy=1.474829, SmoothL1=0.597980, accuracy=0.871532
[Epoch 162][Batch 499], Speed: 38.217861 samples/sec, CrossEntropy=1.475876, SmoothL1=0.596857, accuracy=0.871479
[Epoch 162] Training cost: 456.127708, CrossEntropy=1.476292, SmoothL1=0.596208, accuracy=0.871445
[Epoch 162] Validation:
aeroplane=0.810810
bicycle=0.857421
bird=0.805933
boat=0.693362
bottle=0.568273
bus=0.861924
car=0.876172
cat=0.880574
chair=0.633694
cow=0.855069
diningtable=0.738827
dog=0.853461
horse=0.878148
motorbike=0.861505
person=0.807086
pottedplant=0.523902
sheep=0.785597
sofa=0.791017
train=0.864096
tvmonitor=0.797354
mAP=0.787211
[Epoch 163][Batch 99], Speed: 38.091663 samples/sec, CrossEntropy=1.455666, SmoothL1=0.579591, accuracy=0.874182
[Epoch 163][Batch 199], Speed: 35.143250 samples/sec, CrossEntropy=1.449357, SmoothL1=0.577793, accuracy=0.874913
[Epoch 163][Batch 299], Speed: 39.156001 samples/sec, CrossEntropy=1.467394, SmoothL1=0.585498, accuracy=0.872808
[Epoch 163][Batch 399], Speed: 39.198107 samples/sec, CrossEntropy=1.469390, SmoothL1=0.586522, accuracy=0.872591
[Epoch 163][Batch 499], Speed: 37.184741 samples/sec, CrossEntropy=1.465860, SmoothL1=0.585610, accuracy=0.872808
[Epoch 163] Training cost: 453.342718, CrossEntropy=1.465198, SmoothL1=0.584503, accuracy=0.872761
[Epoch 163] Validation:
aeroplane=0.837291
bicycle=0.856674
bird=0.803734
boat=0.693693
bottle=0.564931
bus=0.854049
car=0.874373
cat=0.877679
chair=0.625777
cow=0.859144
diningtable=0.718442
dog=0.851432
horse=0.878427
motorbike=0.862073
person=0.812461
pottedplant=0.528946
sheep=0.791414
sofa=0.798492
train=0.864998
tvmonitor=0.793179
mAP=0.787360
[Epoch 164][Batch 99], Speed: 38.260906 samples/sec, CrossEntropy=1.455633, SmoothL1=0.585057, accuracy=0.872811
[Epoch 164][Batch 199], Speed: 39.297841 samples/sec, CrossEntropy=1.464915, SmoothL1=0.591878, accuracy=0.872297
[Epoch 164][Batch 299], Speed: 39.474049 samples/sec, CrossEntropy=1.465183, SmoothL1=0.590793, accuracy=0.872587
[Epoch 164][Batch 399], Speed: 37.586253 samples/sec, CrossEntropy=1.462312, SmoothL1=0.586321, accuracy=0.872610
[Epoch 164][Batch 499], Speed: 39.521543 samples/sec, CrossEntropy=1.458536, SmoothL1=0.586415, accuracy=0.873120
[Epoch 164] Training cost: 455.365292, CrossEntropy=1.458231, SmoothL1=0.587061, accuracy=0.873219
[Epoch 164] Validation:
aeroplane=0.823220
bicycle=0.855597
bird=0.801639
boat=0.691744
bottle=0.556885
bus=0.863729
car=0.876287
cat=0.881665
chair=0.629524
cow=0.853604
diningtable=0.719617
dog=0.851213
horse=0.873678
motorbike=0.866980
person=0.808612
pottedplant=0.525409
sheep=0.791160
sofa=0.796905
train=0.866717
tvmonitor=0.804934
mAP=0.786956
[Epoch 165][Batch 99], Speed: 35.836472 samples/sec, CrossEntropy=1.450136, SmoothL1=0.575930, accuracy=0.874506
[Epoch 165][Batch 199], Speed: 37.517206 samples/sec, CrossEntropy=1.459413, SmoothL1=0.593045, accuracy=0.873182
[Epoch 165][Batch 299], Speed: 37.691805 samples/sec, CrossEntropy=1.465234, SmoothL1=0.592356, accuracy=0.872789
[Epoch 165][Batch 399], Speed: 39.169417 samples/sec, CrossEntropy=1.462874, SmoothL1=0.590683, accuracy=0.872638
[Epoch 165][Batch 499], Speed: 35.033402 samples/sec, CrossEntropy=1.463730, SmoothL1=0.590693, accuracy=0.872652
[Epoch 165] Training cost: 454.053811, CrossEntropy=1.463954, SmoothL1=0.590370, accuracy=0.872695
[Epoch 165] Validation:
aeroplane=0.822136
bicycle=0.865579
bird=0.811772
boat=0.704524
bottle=0.563161
bus=0.863854
car=0.875760
cat=0.873865
chair=0.621528
cow=0.855889
diningtable=0.727176
dog=0.850771
horse=0.876545
motorbike=0.872490
person=0.808968
pottedplant=0.519131
sheep=0.787991
sofa=0.801720
train=0.870535
tvmonitor=0.804935
mAP=0.788917
[Epoch 166][Batch 99], Speed: 40.099347 samples/sec, CrossEntropy=1.460257, SmoothL1=0.587454, accuracy=0.872630
[Epoch 166][Batch 199], Speed: 38.592622 samples/sec, CrossEntropy=1.449460, SmoothL1=0.589817, accuracy=0.873955
[Epoch 166][Batch 299], Speed: 36.207452 samples/sec, CrossEntropy=1.446843, SmoothL1=0.584564, accuracy=0.874272
[Epoch 166][Batch 399], Speed: 37.549029 samples/sec, CrossEntropy=1.452772, SmoothL1=0.584177, accuracy=0.873808
[Epoch 166][Batch 499], Speed: 39.414698 samples/sec, CrossEntropy=1.458763, SmoothL1=0.589022, accuracy=0.873300
[Epoch 166] Training cost: 455.754184, CrossEntropy=1.460850, SmoothL1=0.590350, accuracy=0.873173
[Epoch 166] Validation:
aeroplane=0.820828
bicycle=0.853151
bird=0.805702
boat=0.710128
bottle=0.550363
bus=0.870728
car=0.875568
cat=0.878400
chair=0.634018
cow=0.853686
diningtable=0.729306
dog=0.852218
horse=0.877042
motorbike=0.863771
person=0.809058
pottedplant=0.524041
sheep=0.792284
sofa=0.802428
train=0.869301
tvmonitor=0.797425
mAP=0.788472
[Epoch 167][Batch 99], Speed: 38.748985 samples/sec, CrossEntropy=1.441894, SmoothL1=0.577783, accuracy=0.875487
[Epoch 167][Batch 199], Speed: 34.325520 samples/sec, CrossEntropy=1.445590, SmoothL1=0.578562, accuracy=0.874838
[Epoch 167][Batch 299], Speed: 34.467378 samples/sec, CrossEntropy=1.448362, SmoothL1=0.584298, accuracy=0.874470
[Epoch 167][Batch 399], Speed: 31.928193 samples/sec, CrossEntropy=1.445512, SmoothL1=0.581396, accuracy=0.874366
[Epoch 167][Batch 499], Speed: 37.850918 samples/sec, CrossEntropy=1.443478, SmoothL1=0.582205, accuracy=0.874723
[Epoch 167] Training cost: 454.616935, CrossEntropy=1.443463, SmoothL1=0.580873, accuracy=0.874732
[Epoch 167] Validation:
aeroplane=0.839055
bicycle=0.862702
bird=0.802317
boat=0.705833
bottle=0.560480
bus=0.868763
car=0.875177
cat=0.878962
chair=0.635050
cow=0.854344
diningtable=0.744924
dog=0.853240
horse=0.877507
motorbike=0.861304
person=0.810481
pottedplant=0.528410
sheep=0.801685
sofa=0.787995
train=0.862445
tvmonitor=0.800576
mAP=0.790562
[Epoch 168][Batch 99], Speed: 34.147723 samples/sec, CrossEntropy=1.418023, SmoothL1=0.570639, accuracy=0.876328
[Epoch 168][Batch 199], Speed: 38.488515 samples/sec, CrossEntropy=1.444299, SmoothL1=0.588503, accuracy=0.874241
[Epoch 168][Batch 299], Speed: 35.801753 samples/sec, CrossEntropy=1.442250, SmoothL1=0.586613, accuracy=0.874522
[Epoch 168][Batch 399], Speed: 37.204500 samples/sec, CrossEntropy=1.449631, SmoothL1=0.586815, accuracy=0.874113
[Epoch 168][Batch 499], Speed: 40.584929 samples/sec, CrossEntropy=1.448200, SmoothL1=0.583924, accuracy=0.874060
[Epoch 168] Training cost: 453.979660, CrossEntropy=1.449379, SmoothL1=0.584385, accuracy=0.873924
[Epoch 168] Validation:
aeroplane=0.813279
bicycle=0.858873
bird=0.799348
boat=0.701902
bottle=0.564947
bus=0.865078
car=0.877092
cat=0.883186
chair=0.633035
cow=0.862059
diningtable=0.725206
dog=0.847614
horse=0.875122
motorbike=0.853402
person=0.811432
pottedplant=0.524434
sheep=0.800820
sofa=0.800981
train=0.863075
tvmonitor=0.798806
mAP=0.787985
[Epoch 169][Batch 99], Speed: 37.078923 samples/sec, CrossEntropy=1.433158, SmoothL1=0.578238, accuracy=0.875111
[Epoch 169][Batch 199], Speed: 37.224539 samples/sec, CrossEntropy=1.444236, SmoothL1=0.585049, accuracy=0.874190
[Epoch 169][Batch 299], Speed: 39.492285 samples/sec, CrossEntropy=1.445349, SmoothL1=0.586012, accuracy=0.874160
[Epoch 169][Batch 399], Speed: 36.126027 samples/sec, CrossEntropy=1.444570, SmoothL1=0.583219, accuracy=0.874127
[Epoch 169][Batch 499], Speed: 38.940711 samples/sec, CrossEntropy=1.441751, SmoothL1=0.580303, accuracy=0.874550
[Epoch 169] Training cost: 454.014564, CrossEntropy=1.440949, SmoothL1=0.579755, accuracy=0.874662
[Epoch 169] Validation:
aeroplane=0.819556
bicycle=0.863204
bird=0.802370
boat=0.706261
bottle=0.567300
bus=0.864350
car=0.876353
cat=0.880816
chair=0.631130
cow=0.855726
diningtable=0.728741
dog=0.848643
horse=0.876647
motorbike=0.861565
person=0.809198
pottedplant=0.528194
sheep=0.804504
sofa=0.802839
train=0.862872
tvmonitor=0.794291
mAP=0.789228
[Epoch 170][Batch 99], Speed: 36.895139 samples/sec, CrossEntropy=1.438434, SmoothL1=0.586233, accuracy=0.875547
[Epoch 170][Batch 199], Speed: 37.551498 samples/sec, CrossEntropy=1.436632, SmoothL1=0.582903, accuracy=0.875165
[Epoch 170][Batch 299], Speed: 36.236484 samples/sec, CrossEntropy=1.451720, SmoothL1=0.588645, accuracy=0.874301
[Epoch 170][Batch 399], Speed: 38.201110 samples/sec, CrossEntropy=1.447271, SmoothL1=0.585179, accuracy=0.874661
[Epoch 170][Batch 499], Speed: 39.728899 samples/sec, CrossEntropy=1.442373, SmoothL1=0.581166, accuracy=0.874995
[Epoch 170] Training cost: 454.585177, CrossEntropy=1.440443, SmoothL1=0.580415, accuracy=0.875092
[Epoch 170] Validation:
aeroplane=0.815572
bicycle=0.873549
bird=0.806930
boat=0.699098
bottle=0.569573
bus=0.867007
car=0.874744
cat=0.881791
chair=0.635919
cow=0.854590
diningtable=0.737588
dog=0.851663
horse=0.878715
motorbike=0.855837
person=0.809637
pottedplant=0.524049
sheep=0.789475
sofa=0.796285
train=0.866611
tvmonitor=0.796883
mAP=0.789276
[Epoch 171][Batch 99], Speed: 36.968144 samples/sec, CrossEntropy=1.414795, SmoothL1=0.571129, accuracy=0.876722
[Epoch 171][Batch 199], Speed: 37.663808 samples/sec, CrossEntropy=1.419699, SmoothL1=0.576775, accuracy=0.876151
[Epoch 171][Batch 299], Speed: 36.217701 samples/sec, CrossEntropy=1.431188, SmoothL1=0.581016, accuracy=0.875257
[Epoch 171][Batch 399], Speed: 38.038183 samples/sec, CrossEntropy=1.434706, SmoothL1=0.580374, accuracy=0.874770
[Epoch 171][Batch 499], Speed: 36.010849 samples/sec, CrossEntropy=1.435296, SmoothL1=0.579610, accuracy=0.874897
[Epoch 171] Training cost: 455.434858, CrossEntropy=1.435740, SmoothL1=0.579228, accuracy=0.874885
[Epoch 171] Validation:
aeroplane=0.815060
bicycle=0.856207
bird=0.803249
boat=0.703968
bottle=0.555508
bus=0.863061
car=0.874412
cat=0.880039
chair=0.631829
cow=0.842853
diningtable=0.728973
dog=0.850300
horse=0.870029
motorbike=0.852089
person=0.812059
pottedplant=0.526146
sheep=0.791418
sofa=0.800372
train=0.864831
tvmonitor=0.798046
mAP=0.786022
[Epoch 172][Batch 99], Speed: 39.047156 samples/sec, CrossEntropy=1.435377, SmoothL1=0.574892, accuracy=0.875333
[Epoch 172][Batch 199], Speed: 37.973944 samples/sec, CrossEntropy=1.439835, SmoothL1=0.585444, accuracy=0.874966
[Epoch 172][Batch 299], Speed: 37.390428 samples/sec, CrossEntropy=1.427647, SmoothL1=0.576292, accuracy=0.875669
[Epoch 172][Batch 399], Speed: 38.962574 samples/sec, CrossEntropy=1.424790, SmoothL1=0.573673, accuracy=0.875729
[Epoch 172][Batch 499], Speed: 36.850183 samples/sec, CrossEntropy=1.424529, SmoothL1=0.573447, accuracy=0.875727
[Epoch 172] Training cost: 454.395672, CrossEntropy=1.426159, SmoothL1=0.574769, accuracy=0.875575
[Epoch 172] Validation:
aeroplane=0.818665
bicycle=0.868311
bird=0.809001
boat=0.710815
bottle=0.569589
bus=0.864478
car=0.874616
cat=0.878730
chair=0.629550
cow=0.850949
diningtable=0.735310
dog=0.855291
horse=0.872343
motorbike=0.853229
person=0.809039
pottedplant=0.531828
sheep=0.796467
sofa=0.802821
train=0.867074
tvmonitor=0.785099
mAP=0.789160
[Epoch 173][Batch 99], Speed: 37.134731 samples/sec, CrossEntropy=1.430652, SmoothL1=0.583238, accuracy=0.876162
[Epoch 173][Batch 199], Speed: 38.659295 samples/sec, CrossEntropy=1.431406, SmoothL1=0.574346, accuracy=0.875898
[Epoch 173][Batch 299], Speed: 37.528073 samples/sec, CrossEntropy=1.432092, SmoothL1=0.573898, accuracy=0.876018
[Epoch 173][Batch 399], Speed: 39.453036 samples/sec, CrossEntropy=1.436443, SmoothL1=0.574361, accuracy=0.875509
[Epoch 173][Batch 499], Speed: 38.193674 samples/sec, CrossEntropy=1.434007, SmoothL1=0.571339, accuracy=0.875657
[Epoch 173] Training cost: 455.197778, CrossEntropy=1.435268, SmoothL1=0.571783, accuracy=0.875607
[Epoch 173] Validation:
aeroplane=0.833471
bicycle=0.866774
bird=0.804418
boat=0.712621
bottle=0.573991
bus=0.867758
car=0.878087
cat=0.882032
chair=0.633234
cow=0.855220
diningtable=0.730709
dog=0.851327
horse=0.872320
motorbike=0.860222
person=0.807813
pottedplant=0.523419
sheep=0.795239
sofa=0.802976
train=0.869495
tvmonitor=0.793218
mAP=0.790717
[Epoch 174][Batch 99], Speed: 36.374009 samples/sec, CrossEntropy=1.403979, SmoothL1=0.552453, accuracy=0.879028
[Epoch 174][Batch 199], Speed: 37.433518 samples/sec, CrossEntropy=1.426840, SmoothL1=0.565813, accuracy=0.876822
[Epoch 174][Batch 299], Speed: 36.092046 samples/sec, CrossEntropy=1.428948, SmoothL1=0.569505, accuracy=0.876180
[Epoch 174][Batch 399], Speed: 35.508369 samples/sec, CrossEntropy=1.432800, SmoothL1=0.574937, accuracy=0.876004
[Epoch 174][Batch 499], Speed: 38.484432 samples/sec, CrossEntropy=1.436263, SmoothL1=0.575379, accuracy=0.875765
[Epoch 174] Training cost: 454.030173, CrossEntropy=1.436070, SmoothL1=0.575575, accuracy=0.875729
[Epoch 174] Validation:
aeroplane=0.823236
bicycle=0.868858
bird=0.808026
boat=0.712609
bottle=0.570205
bus=0.869881
car=0.874911
cat=0.886344
chair=0.627835
cow=0.851911
diningtable=0.730751
dog=0.852233
horse=0.877660
motorbike=0.855502
person=0.808061
pottedplant=0.533223
sheep=0.796587
sofa=0.802730
train=0.860194
tvmonitor=0.794477
mAP=0.790262
[Epoch 175][Batch 99], Speed: 38.243844 samples/sec, CrossEntropy=1.398974, SmoothL1=0.558139, accuracy=0.877516
[Epoch 175][Batch 199], Speed: 36.515005 samples/sec, CrossEntropy=1.414693, SmoothL1=0.570486, accuracy=0.876755
[Epoch 175][Batch 299], Speed: 39.288477 samples/sec, CrossEntropy=1.420674, SmoothL1=0.572145, accuracy=0.876259
[Epoch 175][Batch 399], Speed: 37.332666 samples/sec, CrossEntropy=1.427710, SmoothL1=0.571193, accuracy=0.875546
[Epoch 175][Batch 499], Speed: 41.003822 samples/sec, CrossEntropy=1.424697, SmoothL1=0.569575, accuracy=0.875655
[Epoch 175] Training cost: 454.964578, CrossEntropy=1.427668, SmoothL1=0.571261, accuracy=0.875429
[Epoch 175] Validation:
aeroplane=0.817055
bicycle=0.864146
bird=0.806874
boat=0.696723
bottle=0.558872
bus=0.870789
car=0.876964
cat=0.886195
chair=0.629918
cow=0.857124
diningtable=0.732608
dog=0.847157
horse=0.877087
motorbike=0.862548
person=0.809834
pottedplant=0.537918
sheep=0.796860
sofa=0.800189
train=0.862488
tvmonitor=0.795465
mAP=0.789341
[Epoch 176][Batch 99], Speed: 39.591911 samples/sec, CrossEntropy=1.405626, SmoothL1=0.557869, accuracy=0.878027
[Epoch 176][Batch 199], Speed: 36.737105 samples/sec, CrossEntropy=1.402682, SmoothL1=0.564420, accuracy=0.877423
[Epoch 176][Batch 299], Speed: 37.351668 samples/sec, CrossEntropy=1.410279, SmoothL1=0.568034, accuracy=0.876828
[Epoch 176][Batch 399], Speed: 36.169798 samples/sec, CrossEntropy=1.417592, SmoothL1=0.569907, accuracy=0.876569
[Epoch 176][Batch 499], Speed: 35.970007 samples/sec, CrossEntropy=1.425499, SmoothL1=0.574544, accuracy=0.876020
[Epoch 176] Training cost: 453.834431, CrossEntropy=1.426506, SmoothL1=0.574411, accuracy=0.875920
[Epoch 176] Validation:
aeroplane=0.822639
bicycle=0.861808
bird=0.793259
boat=0.709977
bottle=0.556047
bus=0.871348
car=0.876977
cat=0.878650
chair=0.625574
cow=0.856771
diningtable=0.735494
dog=0.852490
horse=0.875705
motorbike=0.867533
person=0.810996
pottedplant=0.525730
sheep=0.798690
sofa=0.797999
train=0.871661
tvmonitor=0.791513
mAP=0.789043
[Epoch 177][Batch 99], Speed: 38.513431 samples/sec, CrossEntropy=1.429088, SmoothL1=0.569860, accuracy=0.876418
[Epoch 177][Batch 199], Speed: 37.780439 samples/sec, CrossEntropy=1.413325, SmoothL1=0.562079, accuracy=0.876964
[Epoch 177][Batch 299], Speed: 39.232136 samples/sec, CrossEntropy=1.420702, SmoothL1=0.570073, accuracy=0.876338
[Epoch 177][Batch 399], Speed: 36.167517 samples/sec, CrossEntropy=1.429656, SmoothL1=0.578428, accuracy=0.875696
[Epoch 177][Batch 499], Speed: 35.256927 samples/sec, CrossEntropy=1.431115, SmoothL1=0.574878, accuracy=0.875607
[Epoch 177] Training cost: 454.414220, CrossEntropy=1.433127, SmoothL1=0.575579, accuracy=0.875441
[Epoch 177] Validation:
aeroplane=0.820155
bicycle=0.853164
bird=0.795960
boat=0.706346
bottle=0.574172
bus=0.868462
car=0.877364
cat=0.884085
chair=0.627828
cow=0.861673
diningtable=0.734248
dog=0.855803
horse=0.876247
motorbike=0.860700
person=0.807749
pottedplant=0.526845
sheep=0.795218
sofa=0.805091
train=0.861527
tvmonitor=0.793950
mAP=0.789329
[Epoch 178][Batch 99], Speed: 37.094181 samples/sec, CrossEntropy=1.416800, SmoothL1=0.561136, accuracy=0.876513
[Epoch 178][Batch 199], Speed: 38.105809 samples/sec, CrossEntropy=1.421970, SmoothL1=0.576630, accuracy=0.876282
[Epoch 178][Batch 299], Speed: 37.547632 samples/sec, CrossEntropy=1.415927, SmoothL1=0.571758, accuracy=0.876621
[Epoch 178][Batch 399], Speed: 38.447303 samples/sec, CrossEntropy=1.416891, SmoothL1=0.570488, accuracy=0.876700
[Epoch 178][Batch 499], Speed: 39.024677 samples/sec, CrossEntropy=1.421899, SmoothL1=0.573267, accuracy=0.876368
[Epoch 178] Training cost: 454.269894, CrossEntropy=1.422613, SmoothL1=0.573228, accuracy=0.876322
[Epoch 178] Validation:
aeroplane=0.816933
bicycle=0.872177
bird=0.790950
boat=0.715273
bottle=0.554790
bus=0.871579
car=0.875415
cat=0.879368
chair=0.623046
cow=0.854629
diningtable=0.739299
dog=0.851644
horse=0.875705
motorbike=0.865504
person=0.804627
pottedplant=0.528276
sheep=0.781268
sofa=0.799796
train=0.867806
tvmonitor=0.798429
mAP=0.788326
[Epoch 179][Batch 99], Speed: 36.047688 samples/sec, CrossEntropy=1.402566, SmoothL1=0.574081, accuracy=0.877363
[Epoch 179][Batch 199], Speed: 38.116706 samples/sec, CrossEntropy=1.399387, SmoothL1=0.572289, accuracy=0.877827
[Epoch 179][Batch 299], Speed: 37.339469 samples/sec, CrossEntropy=1.414030, SmoothL1=0.577457, accuracy=0.876848
[Epoch 179][Batch 399], Speed: 36.138838 samples/sec, CrossEntropy=1.422155, SmoothL1=0.578125, accuracy=0.876293
[Epoch 179][Batch 499], Speed: 36.516217 samples/sec, CrossEntropy=1.420705, SmoothL1=0.575326, accuracy=0.876693
[Epoch 179] Training cost: 454.176203, CrossEntropy=1.422857, SmoothL1=0.575718, accuracy=0.876427
[Epoch 179] Validation:
aeroplane=0.814516
bicycle=0.868110
bird=0.791546
boat=0.719982
bottle=0.559154
bus=0.868838
car=0.877932
cat=0.879068
chair=0.633877
cow=0.851611
diningtable=0.728398
dog=0.849700
horse=0.873331
motorbike=0.859191
person=0.810678
pottedplant=0.534324
sheep=0.795908
sofa=0.804289
train=0.869164
tvmonitor=0.790498
mAP=0.789006
[Epoch 180][Batch 99], Speed: 37.029023 samples/sec, CrossEntropy=1.420412, SmoothL1=0.585566, accuracy=0.876975
[Epoch 180][Batch 199], Speed: 38.576205 samples/sec, CrossEntropy=1.410237, SmoothL1=0.574427, accuracy=0.878070
[Epoch 180][Batch 299], Speed: 38.146324 samples/sec, CrossEntropy=1.412894, SmoothL1=0.572565, accuracy=0.877429
[Epoch 180][Batch 399], Speed: 31.248103 samples/sec, CrossEntropy=1.413542, SmoothL1=0.569859, accuracy=0.877163
[Epoch 180][Batch 499], Speed: 36.963746 samples/sec, CrossEntropy=1.415518, SmoothL1=0.571152, accuracy=0.877092
[Epoch 180] Training cost: 455.194583, CrossEntropy=1.414796, SmoothL1=0.571957, accuracy=0.877124
[Epoch 180] Validation:
aeroplane=0.818539
bicycle=0.858758
bird=0.787280
boat=0.709637
bottle=0.562002
bus=0.872206
car=0.877057
cat=0.880851
chair=0.628177
cow=0.860738
diningtable=0.727580
dog=0.852280
horse=0.874808
motorbike=0.860277
person=0.808250
pottedplant=0.528973
sheep=0.802184
sofa=0.802213
train=0.866821
tvmonitor=0.796622
mAP=0.788763
[Epoch 181][Batch 99], Speed: 36.731324 samples/sec, CrossEntropy=1.391523, SmoothL1=0.554384, accuracy=0.878936
[Epoch 181][Batch 199], Speed: 36.490067 samples/sec, CrossEntropy=1.410439, SmoothL1=0.567025, accuracy=0.878106
[Epoch 181][Batch 299], Speed: 39.143828 samples/sec, CrossEntropy=1.427366, SmoothL1=0.582372, accuracy=0.876348
[Epoch 181][Batch 399], Speed: 25.928037 samples/sec, CrossEntropy=1.425652, SmoothL1=0.577272, accuracy=0.876411
[Epoch 181][Batch 499], Speed: 38.606920 samples/sec, CrossEntropy=1.428928, SmoothL1=0.575555, accuracy=0.876377
[Epoch 181] Training cost: 454.982247, CrossEntropy=1.429970, SmoothL1=0.575258, accuracy=0.876367
[Epoch 181] Validation:
aeroplane=0.808788
bicycle=0.863298
bird=0.796488
boat=0.702049
bottle=0.562230
bus=0.872809
car=0.875489
cat=0.871446
chair=0.627769
cow=0.856454
diningtable=0.730578
dog=0.853736
horse=0.875964
motorbike=0.850527
person=0.811101
pottedplant=0.522278
sheep=0.792073
sofa=0.797659
train=0.866656
tvmonitor=0.793944
mAP=0.786567
[Epoch 182][Batch 99], Speed: 38.888134 samples/sec, CrossEntropy=1.394403, SmoothL1=0.563447, accuracy=0.878669
[Epoch 182][Batch 199], Speed: 38.449473 samples/sec, CrossEntropy=1.415765, SmoothL1=0.570876, accuracy=0.877124
[Epoch 182][Batch 299], Speed: 29.825068 samples/sec, CrossEntropy=1.407552, SmoothL1=0.563799, accuracy=0.877580
[Epoch 182][Batch 399], Speed: 37.414787 samples/sec, CrossEntropy=1.412111, SmoothL1=0.563600, accuracy=0.877258
[Epoch 182][Batch 499], Speed: 36.079753 samples/sec, CrossEntropy=1.415835, SmoothL1=0.565093, accuracy=0.876928
[Epoch 182] Training cost: 453.399347, CrossEntropy=1.416248, SmoothL1=0.565611, accuracy=0.876864
[Epoch 182] Validation:
aeroplane=0.820458
bicycle=0.862084
bird=0.794912
boat=0.709741
bottle=0.552634
bus=0.872399
car=0.876897
cat=0.876434
chair=0.628009
cow=0.852269
diningtable=0.728153
dog=0.852809
horse=0.868521
motorbike=0.857722
person=0.808802
pottedplant=0.530089
sheep=0.797734
sofa=0.803032
train=0.866363
tvmonitor=0.797050
mAP=0.787806
[Epoch 183][Batch 99], Speed: 38.396422 samples/sec, CrossEntropy=1.396408, SmoothL1=0.569270, accuracy=0.877218
[Epoch 183][Batch 199], Speed: 38.599470 samples/sec, CrossEntropy=1.399644, SmoothL1=0.567930, accuracy=0.877377
[Epoch 183][Batch 299], Speed: 38.377221 samples/sec, CrossEntropy=1.402564, SmoothL1=0.570363, accuracy=0.877775
[Epoch 183][Batch 399], Speed: 37.788214 samples/sec, CrossEntropy=1.408329, SmoothL1=0.570833, accuracy=0.877524
[Epoch 183][Batch 499], Speed: 40.091358 samples/sec, CrossEntropy=1.401321, SmoothL1=0.566620, accuracy=0.877667
[Epoch 183] Training cost: 454.178748, CrossEntropy=1.401997, SmoothL1=0.566282, accuracy=0.877625
[Epoch 183] Validation:
aeroplane=0.821585
bicycle=0.868284
bird=0.789646
boat=0.700218
bottle=0.566675
bus=0.869909
car=0.876044
cat=0.879622
chair=0.639430
cow=0.858105
diningtable=0.731823
dog=0.849763
horse=0.872892
motorbike=0.864096
person=0.808792
pottedplant=0.525024
sheep=0.797182
sofa=0.804897
train=0.866975
tvmonitor=0.795849
mAP=0.789341
[Epoch 184][Batch 99], Speed: 37.788703 samples/sec, CrossEntropy=1.362927, SmoothL1=0.547572, accuracy=0.882550
[Epoch 184][Batch 199], Speed: 35.338384 samples/sec, CrossEntropy=1.384930, SmoothL1=0.559111, accuracy=0.879881
[Epoch 184][Batch 299], Speed: 35.942747 samples/sec, CrossEntropy=1.390745, SmoothL1=0.559516, accuracy=0.879039
[Epoch 184][Batch 399], Speed: 36.433320 samples/sec, CrossEntropy=1.405615, SmoothL1=0.563597, accuracy=0.877997
[Epoch 184][Batch 499], Speed: 35.737978 samples/sec, CrossEntropy=1.406595, SmoothL1=0.565369, accuracy=0.877828
[Epoch 184] Training cost: 452.802282, CrossEntropy=1.404428, SmoothL1=0.565007, accuracy=0.877967
[Epoch 184] Validation:
aeroplane=0.818432
bicycle=0.869153
bird=0.790704
boat=0.718692
bottle=0.557140
bus=0.873078
car=0.877713
cat=0.879581
chair=0.637483
cow=0.851390
diningtable=0.726347
dog=0.846096
horse=0.870632
motorbike=0.866126
person=0.810271
pottedplant=0.526291
sheep=0.801470
sofa=0.810825
train=0.868936
tvmonitor=0.793130
mAP=0.789675
[Epoch 185][Batch 99], Speed: 30.671706 samples/sec, CrossEntropy=1.371548, SmoothL1=0.547518, accuracy=0.879936
[Epoch 185][Batch 199], Speed: 35.090336 samples/sec, CrossEntropy=1.392488, SmoothL1=0.559866, accuracy=0.878640
[Epoch 185][Batch 299], Speed: 36.431906 samples/sec, CrossEntropy=1.394948, SmoothL1=0.564146, accuracy=0.878615
[Epoch 185][Batch 399], Speed: 38.400344 samples/sec, CrossEntropy=1.401046, SmoothL1=0.564092, accuracy=0.877957
[Epoch 185][Batch 499], Speed: 38.338458 samples/sec, CrossEntropy=1.404121, SmoothL1=0.564695, accuracy=0.877900
[Epoch 185] Training cost: 456.736434, CrossEntropy=1.402957, SmoothL1=0.563657, accuracy=0.877974
[Epoch 185] Validation:
aeroplane=0.820532
bicycle=0.859796
bird=0.792377
boat=0.714176
bottle=0.553403
bus=0.873199
car=0.879069
cat=0.879064
chair=0.632930
cow=0.850070
diningtable=0.731769
dog=0.853682
horse=0.875729
motorbike=0.856236
person=0.806964
pottedplant=0.532789
sheep=0.798425
sofa=0.794049
train=0.863752
tvmonitor=0.799602
mAP=0.788381
[Epoch 186][Batch 99], Speed: 39.342155 samples/sec, CrossEntropy=1.394744, SmoothL1=0.569915, accuracy=0.878863
[Epoch 186][Batch 199], Speed: 39.018642 samples/sec, CrossEntropy=1.393816, SmoothL1=0.566078, accuracy=0.879379
[Epoch 186][Batch 299], Speed: 36.586901 samples/sec, CrossEntropy=1.398935, SmoothL1=0.567066, accuracy=0.878524
[Epoch 186][Batch 399], Speed: 37.906560 samples/sec, CrossEntropy=1.397676, SmoothL1=0.565252, accuracy=0.878427
[Epoch 186][Batch 499], Speed: 39.127213 samples/sec, CrossEntropy=1.397639, SmoothL1=0.563591, accuracy=0.878666
[Epoch 186] Training cost: 455.484070, CrossEntropy=1.397160, SmoothL1=0.563758, accuracy=0.878667
[Epoch 186] Validation:
aeroplane=0.815544
bicycle=0.868899
bird=0.792896
boat=0.707569
bottle=0.563696
bus=0.870055
car=0.876836
cat=0.881651
chair=0.624872
cow=0.851935
diningtable=0.739371
dog=0.845327
horse=0.870216
motorbike=0.856626
person=0.806363
pottedplant=0.541331
sheep=0.796209
sofa=0.795471
train=0.864817
tvmonitor=0.790867
mAP=0.788027
[Epoch 187][Batch 99], Speed: 35.223359 samples/sec, CrossEntropy=1.421548, SmoothL1=0.559334, accuracy=0.877496
[Epoch 187][Batch 199], Speed: 39.821500 samples/sec, CrossEntropy=1.411452, SmoothL1=0.559336, accuracy=0.878020
[Epoch 187][Batch 299], Speed: 37.138399 samples/sec, CrossEntropy=1.397871, SmoothL1=0.555409, accuracy=0.878664
[Epoch 187][Batch 399], Speed: 35.015232 samples/sec, CrossEntropy=1.398650, SmoothL1=0.554899, accuracy=0.878335
[Epoch 187][Batch 499], Speed: 36.041067 samples/sec, CrossEntropy=1.401381, SmoothL1=0.555595, accuracy=0.878429
[Epoch 187] Training cost: 454.111897, CrossEntropy=1.401997, SmoothL1=0.555161, accuracy=0.878425
[Epoch 187] Validation:
aeroplane=0.813185
bicycle=0.874398
bird=0.792377
boat=0.701585
bottle=0.567733
bus=0.870861
car=0.875211
cat=0.879481
chair=0.635085
cow=0.854544
diningtable=0.730738
dog=0.847311
horse=0.872722
motorbike=0.857129
person=0.807586
pottedplant=0.537662
sheep=0.784241
sofa=0.795392
train=0.865785
tvmonitor=0.798587
mAP=0.788081
[Epoch 188][Batch 99], Speed: 38.354125 samples/sec, CrossEntropy=1.366669, SmoothL1=0.540684, accuracy=0.882063
[Epoch 188][Batch 199], Speed: 38.879629 samples/sec, CrossEntropy=1.386794, SmoothL1=0.555675, accuracy=0.879865
[Epoch 188][Batch 299], Speed: 38.768382 samples/sec, CrossEntropy=1.392522, SmoothL1=0.551748, accuracy=0.879783
[Epoch 188][Batch 399], Speed: 39.038956 samples/sec, CrossEntropy=1.407400, SmoothL1=0.561379, accuracy=0.878479
[Epoch 188][Batch 499], Speed: 38.831137 samples/sec, CrossEntropy=1.413045, SmoothL1=0.563220, accuracy=0.877981
[Epoch 188] Training cost: 453.794929, CrossEntropy=1.415135, SmoothL1=0.564729, accuracy=0.877747
[Epoch 188] Validation:
aeroplane=0.816357
bicycle=0.866289
bird=0.795088
boat=0.703214
bottle=0.552825
bus=0.871959
car=0.877367
cat=0.876885
chair=0.625785
cow=0.858021
diningtable=0.737973
dog=0.851182
horse=0.876989
motorbike=0.859281
person=0.804719
pottedplant=0.538231
sheep=0.793654
sofa=0.803747
train=0.861837
tvmonitor=0.799798
mAP=0.788560
[Epoch 189][Batch 99], Speed: 38.879865 samples/sec, CrossEntropy=1.384255, SmoothL1=0.554890, accuracy=0.879410
[Epoch 189][Batch 199], Speed: 36.950690 samples/sec, CrossEntropy=1.390764, SmoothL1=0.557842, accuracy=0.879351
[Epoch 189][Batch 299], Speed: 36.238157 samples/sec, CrossEntropy=1.393596, SmoothL1=0.561390, accuracy=0.879015
[Epoch 189][Batch 399], Speed: 29.411248 samples/sec, CrossEntropy=1.392979, SmoothL1=0.562568, accuracy=0.878814
[Epoch 189][Batch 499], Speed: 32.097449 samples/sec, CrossEntropy=1.393692, SmoothL1=0.559635, accuracy=0.878689
[Epoch 189] Training cost: 454.674019, CrossEntropy=1.392899, SmoothL1=0.558748, accuracy=0.878743
[Epoch 189] Validation:
aeroplane=0.820247
bicycle=0.866593
bird=0.793098
boat=0.727338
bottle=0.561736
bus=0.874495
car=0.877260
cat=0.874800
chair=0.622681
cow=0.856606
diningtable=0.730419
dog=0.852457
horse=0.873908
motorbike=0.857960
person=0.809729
pottedplant=0.534176
sheep=0.785929
sofa=0.796594
train=0.862867
tvmonitor=0.797722
mAP=0.788831
[Epoch 190][Batch 99], Speed: 38.953606 samples/sec, CrossEntropy=1.396495, SmoothL1=0.563441, accuracy=0.879784
[Epoch 190][Batch 199], Speed: 38.629987 samples/sec, CrossEntropy=1.409576, SmoothL1=0.570164, accuracy=0.878302
[Epoch 190][Batch 299], Speed: 38.125054 samples/sec, CrossEntropy=1.406985, SmoothL1=0.565423, accuracy=0.878544
[Epoch 190][Batch 399], Speed: 39.868637 samples/sec, CrossEntropy=1.409216, SmoothL1=0.565364, accuracy=0.878188
[Epoch 190][Batch 499], Speed: 38.002727 samples/sec, CrossEntropy=1.410008, SmoothL1=0.564478, accuracy=0.878262
[Epoch 190] Training cost: 453.767265, CrossEntropy=1.409326, SmoothL1=0.563217, accuracy=0.878383
[Epoch 190] Validation:
aeroplane=0.820455
bicycle=0.858241
bird=0.804809
boat=0.712948
bottle=0.570630
bus=0.875012
car=0.878797
cat=0.878904
chair=0.618625
cow=0.855117
diningtable=0.730180
dog=0.848151
horse=0.874142
motorbike=0.858549
person=0.803836
pottedplant=0.529585
sheep=0.804085
sofa=0.799737
train=0.856998
tvmonitor=0.798590
mAP=0.788870
[Epoch 191][Batch 99], Speed: 38.000285 samples/sec, CrossEntropy=1.370862, SmoothL1=0.551209, accuracy=0.880944
[Epoch 191][Batch 199], Speed: 35.252075 samples/sec, CrossEntropy=1.376932, SmoothL1=0.556646, accuracy=0.879832
[Epoch 191][Batch 299], Speed: 36.221757 samples/sec, CrossEntropy=1.373164, SmoothL1=0.552348, accuracy=0.880271
[Epoch 191][Batch 399], Speed: 36.954698 samples/sec, CrossEntropy=1.387889, SmoothL1=0.556490, accuracy=0.879193
[Epoch 191][Batch 499], Speed: 37.285737 samples/sec, CrossEntropy=1.391820, SmoothL1=0.557106, accuracy=0.879138
[Epoch 191] Training cost: 455.909416, CrossEntropy=1.393440, SmoothL1=0.556867, accuracy=0.879086
[Epoch 191] Validation:
aeroplane=0.813076
bicycle=0.867127
bird=0.795969
boat=0.714005
bottle=0.561714
bus=0.869690
car=0.877704
cat=0.879628
chair=0.629494
cow=0.856097
diningtable=0.733735
dog=0.854060
horse=0.875905
motorbike=0.857798
person=0.807533
pottedplant=0.529494
sheep=0.789838
sofa=0.801745
train=0.869396
tvmonitor=0.803592
mAP=0.789380
[Epoch 192][Batch 99], Speed: 38.494112 samples/sec, CrossEntropy=1.361630, SmoothL1=0.547889, accuracy=0.881927
[Epoch 192][Batch 199], Speed: 36.227369 samples/sec, CrossEntropy=1.379671, SmoothL1=0.553848, accuracy=0.880069
[Epoch 192][Batch 299], Speed: 37.957277 samples/sec, CrossEntropy=1.389674, SmoothL1=0.556735, accuracy=0.878829
[Epoch 192][Batch 399], Speed: 37.845859 samples/sec, CrossEntropy=1.397734, SmoothL1=0.557878, accuracy=0.878153
[Epoch 192][Batch 499], Speed: 37.059082 samples/sec, CrossEntropy=1.397044, SmoothL1=0.556645, accuracy=0.878603
[Epoch 192] Training cost: 453.471984, CrossEntropy=1.398772, SmoothL1=0.556653, accuracy=0.878487
[Epoch 192] Validation:
aeroplane=0.812540
bicycle=0.863599
bird=0.796116
boat=0.708688
bottle=0.556484
bus=0.872724
car=0.876472
cat=0.882411
chair=0.623841
cow=0.853528
diningtable=0.727443
dog=0.853374
horse=0.873600
motorbike=0.866983
person=0.806708
pottedplant=0.535520
sheep=0.803418
sofa=0.805200
train=0.861775
tvmonitor=0.788091
mAP=0.788426
[Epoch 193][Batch 99], Speed: 37.525608 samples/sec, CrossEntropy=1.388142, SmoothL1=0.552591, accuracy=0.879420
[Epoch 193][Batch 199], Speed: 37.927684 samples/sec, CrossEntropy=1.412701, SmoothL1=0.568567, accuracy=0.878642
[Epoch 193][Batch 299], Speed: 39.495934 samples/sec, CrossEntropy=1.408182, SmoothL1=0.566707, accuracy=0.878715
[Epoch 193][Batch 399], Speed: 34.478269 samples/sec, CrossEntropy=1.411379, SmoothL1=0.566994, accuracy=0.878267
[Epoch 193][Batch 499], Speed: 36.244489 samples/sec, CrossEntropy=1.408465, SmoothL1=0.565639, accuracy=0.878438
[Epoch 193] Training cost: 455.144252, CrossEntropy=1.409679, SmoothL1=0.565903, accuracy=0.878299
[Epoch 193] Validation:
aeroplane=0.811381
bicycle=0.856884
bird=0.800422
boat=0.710299
bottle=0.551453
bus=0.875269
car=0.877526
cat=0.879891
chair=0.632010
cow=0.856025
diningtable=0.739062
dog=0.848920
horse=0.874209
motorbike=0.860429
person=0.807760
pottedplant=0.543362
sheep=0.795024
sofa=0.803114
train=0.864478
tvmonitor=0.795782
mAP=0.789165
[Epoch 194][Batch 99], Speed: 34.964762 samples/sec, CrossEntropy=1.386529, SmoothL1=0.548908, accuracy=0.879684
[Epoch 194][Batch 199], Speed: 35.947666 samples/sec, CrossEntropy=1.397197, SmoothL1=0.557731, accuracy=0.878216
[Epoch 194][Batch 299], Speed: 40.159278 samples/sec, CrossEntropy=1.395224, SmoothL1=0.557008, accuracy=0.878528
[Epoch 194][Batch 399], Speed: 38.070346 samples/sec, CrossEntropy=1.397394, SmoothL1=0.559085, accuracy=0.878646
[Epoch 194][Batch 499], Speed: 39.848432 samples/sec, CrossEntropy=1.402912, SmoothL1=0.562207, accuracy=0.878188
[Epoch 194] Training cost: 451.968858, CrossEntropy=1.400330, SmoothL1=0.561210, accuracy=0.878360
[Epoch 194] Validation:
aeroplane=0.815042
bicycle=0.857609
bird=0.790025
boat=0.700869
bottle=0.568592
bus=0.870985
car=0.880460
cat=0.880276
chair=0.633289
cow=0.859211
diningtable=0.725078
dog=0.845057
horse=0.872955
motorbike=0.862735
person=0.809277
pottedplant=0.524923
sheep=0.806472
sofa=0.800791
train=0.867590
tvmonitor=0.795239
mAP=0.788324
[Epoch 195][Batch 99], Speed: 37.112213 samples/sec, CrossEntropy=1.399106, SmoothL1=0.558392, accuracy=0.878090
[Epoch 195][Batch 199], Speed: 38.224479 samples/sec, CrossEntropy=1.406019, SmoothL1=0.570635, accuracy=0.877765
[Epoch 195][Batch 299], Speed: 36.336756 samples/sec, CrossEntropy=1.394911, SmoothL1=0.564316, accuracy=0.879018
[Epoch 195][Batch 399], Speed: 36.356323 samples/sec, CrossEntropy=1.393962, SmoothL1=0.560519, accuracy=0.879259
[Epoch 195][Batch 499], Speed: 40.088245 samples/sec, CrossEntropy=1.400836, SmoothL1=0.560909, accuracy=0.878885
[Epoch 195] Training cost: 453.719975, CrossEntropy=1.401765, SmoothL1=0.560785, accuracy=0.878795
[Epoch 195] Validation:
aeroplane=0.811781
bicycle=0.862687
bird=0.792735
boat=0.704532
bottle=0.564543
bus=0.872944
car=0.877150
cat=0.882146
chair=0.631180
cow=0.858241
diningtable=0.723989
dog=0.845797
horse=0.872957
motorbike=0.860519
person=0.807410
pottedplant=0.525005
sheep=0.792444
sofa=0.803395
train=0.867420
tvmonitor=0.792805
mAP=0.787484
[Epoch 196][Batch 99], Speed: 38.026608 samples/sec, CrossEntropy=1.418306, SmoothL1=0.578685, accuracy=0.877648
[Epoch 196][Batch 199], Speed: 38.248095 samples/sec, CrossEntropy=1.406190, SmoothL1=0.573659, accuracy=0.877869
[Epoch 196][Batch 299], Speed: 38.171125 samples/sec, CrossEntropy=1.399968, SmoothL1=0.569145, accuracy=0.878436
[Epoch 196][Batch 399], Speed: 38.897973 samples/sec, CrossEntropy=1.397069, SmoothL1=0.567797, accuracy=0.878633
[Epoch 196][Batch 499], Speed: 37.799101 samples/sec, CrossEntropy=1.390350, SmoothL1=0.562856, accuracy=0.879210
[Epoch 196] Training cost: 453.158345, CrossEntropy=1.390639, SmoothL1=0.562947, accuracy=0.879194
[Epoch 196] Validation:
aeroplane=0.809088
bicycle=0.862235
bird=0.791647
boat=0.702995
bottle=0.568260
bus=0.869989
car=0.876078
cat=0.867064
chair=0.635941
cow=0.854642
diningtable=0.727044
dog=0.849028
horse=0.873734
motorbike=0.862047
person=0.807926
pottedplant=0.536719
sheep=0.805357
sofa=0.807537
train=0.866734
tvmonitor=0.788118
mAP=0.788109
[Epoch 197][Batch 99], Speed: 37.799197 samples/sec, CrossEntropy=1.374753, SmoothL1=0.559637, accuracy=0.880306
[Epoch 197][Batch 199], Speed: 38.646127 samples/sec, CrossEntropy=1.386453, SmoothL1=0.563324, accuracy=0.879299
[Epoch 197][Batch 299], Speed: 37.777727 samples/sec, CrossEntropy=1.380521, SmoothL1=0.555201, accuracy=0.879698
[Epoch 197][Batch 399], Speed: 32.443964 samples/sec, CrossEntropy=1.388734, SmoothL1=0.558246, accuracy=0.879137
[Epoch 197][Batch 499], Speed: 37.279492 samples/sec, CrossEntropy=1.390878, SmoothL1=0.558407, accuracy=0.879145
[Epoch 197] Training cost: 453.958813, CrossEntropy=1.389389, SmoothL1=0.558028, accuracy=0.879273
[Epoch 197] Validation:
aeroplane=0.808097
bicycle=0.857048
bird=0.802526
boat=0.721165
bottle=0.553426
bus=0.868027
car=0.879601
cat=0.881575
chair=0.648714
cow=0.857441
diningtable=0.742832
dog=0.848436
horse=0.871613
motorbike=0.864875
person=0.811261
pottedplant=0.531494
sheep=0.795726
sofa=0.804104
train=0.866258
tvmonitor=0.798297
mAP=0.790626
[Epoch 198][Batch 99], Speed: 39.060691 samples/sec, CrossEntropy=1.379121, SmoothL1=0.550957, accuracy=0.879646
[Epoch 198][Batch 199], Speed: 34.625324 samples/sec, CrossEntropy=1.388053, SmoothL1=0.561307, accuracy=0.879173
[Epoch 198][Batch 299], Speed: 38.830519 samples/sec, CrossEntropy=1.377663, SmoothL1=0.553356, accuracy=0.879707
[Epoch 198][Batch 399], Speed: 32.831250 samples/sec, CrossEntropy=1.373232, SmoothL1=0.547885, accuracy=0.880345
[Epoch 198][Batch 499], Speed: 38.796521 samples/sec, CrossEntropy=1.383222, SmoothL1=0.552689, accuracy=0.879636
[Epoch 198] Training cost: 455.052304, CrossEntropy=1.382374, SmoothL1=0.552227, accuracy=0.879635
[Epoch 198] Validation:
aeroplane=0.804470
bicycle=0.856909
bird=0.812023
boat=0.714705
bottle=0.554980
bus=0.872348
car=0.878545
cat=0.876065
chair=0.627864
cow=0.856667
diningtable=0.727916
dog=0.852423
horse=0.876679
motorbike=0.861675
person=0.809709
pottedplant=0.532477
sheep=0.793520
sofa=0.800159
train=0.862219
tvmonitor=0.793568
mAP=0.788246
[Epoch 199][Batch 99], Speed: 36.549708 samples/sec, CrossEntropy=1.386670, SmoothL1=0.560614, accuracy=0.879633
[Epoch 199][Batch 199], Speed: 36.763399 samples/sec, CrossEntropy=1.376282, SmoothL1=0.553145, accuracy=0.879903
[Epoch 199][Batch 299], Speed: 38.706198 samples/sec, CrossEntropy=1.384874, SmoothL1=0.559063, accuracy=0.879619
[Epoch 199][Batch 399], Speed: 30.657036 samples/sec, CrossEntropy=1.386356, SmoothL1=0.557775, accuracy=0.879491
[Epoch 199][Batch 499], Speed: 38.951617 samples/sec, CrossEntropy=1.383550, SmoothL1=0.554755, accuracy=0.879659
[Epoch 199] Training cost: 454.822529, CrossEntropy=1.384633, SmoothL1=0.554149, accuracy=0.879675
[Epoch 199] Validation:
aeroplane=0.817415
bicycle=0.863246
bird=0.803817
boat=0.722253
bottle=0.564734
bus=0.869094
car=0.877594
cat=0.880171
chair=0.628288
cow=0.849001
diningtable=0.745062
dog=0.850357
horse=0.878049
motorbike=0.857116
person=0.805845
pottedplant=0.536860
sheep=0.790459
sofa=0.801784
train=0.867838
tvmonitor=0.798599
mAP=0.790379
[Epoch 200] Set learning rate to 0.0001
[Epoch 200] Set learning rate to 1e-05
[Epoch 200][Batch 99], Speed: 36.968399 samples/sec, CrossEntropy=1.366051, SmoothL1=0.542531, accuracy=0.880550
[Epoch 200][Batch 199], Speed: 36.852045 samples/sec, CrossEntropy=1.368894, SmoothL1=0.548851, accuracy=0.879916
[Epoch 200][Batch 299], Speed: 38.861741 samples/sec, CrossEntropy=1.371468, SmoothL1=0.552256, accuracy=0.880242
[Epoch 200][Batch 399], Speed: 37.547674 samples/sec, CrossEntropy=1.370249, SmoothL1=0.548783, accuracy=0.880506
[Epoch 200][Batch 499], Speed: 38.307655 samples/sec, CrossEntropy=1.375373, SmoothL1=0.551177, accuracy=0.880448
[Epoch 200] Training cost: 460.305467, CrossEntropy=1.378226, SmoothL1=0.553017, accuracy=0.880205
[Epoch 200] Validation:
aeroplane=0.822772
bicycle=0.853875
bird=0.805429
boat=0.702956
bottle=0.568130
bus=0.870537
car=0.877610
cat=0.880344
chair=0.630866
cow=0.851365
diningtable=0.743963
dog=0.851159
horse=0.876046
motorbike=0.862145
person=0.806280
pottedplant=0.535969
sheep=0.792538
sofa=0.800246
train=0.868551
tvmonitor=0.795529
mAP=0.789815
[Epoch 201][Batch 99], Speed: 37.941257 samples/sec, CrossEntropy=1.352279, SmoothL1=0.543942, accuracy=0.882575
[Epoch 201][Batch 199], Speed: 39.007642 samples/sec, CrossEntropy=1.370653, SmoothL1=0.551249, accuracy=0.880972
[Epoch 201][Batch 299], Speed: 34.042448 samples/sec, CrossEntropy=1.376970, SmoothL1=0.554962, accuracy=0.880373
[Epoch 201][Batch 399], Speed: 39.535850 samples/sec, CrossEntropy=1.376646, SmoothL1=0.555201, accuracy=0.880365
[Epoch 201][Batch 499], Speed: 39.754905 samples/sec, CrossEntropy=1.380927, SmoothL1=0.555002, accuracy=0.880000
[Epoch 201] Training cost: 453.908615, CrossEntropy=1.380877, SmoothL1=0.555319, accuracy=0.880019
[Epoch 201] Validation:
aeroplane=0.811141
bicycle=0.859364
bird=0.805680
boat=0.703440
bottle=0.565263
bus=0.872973
car=0.877353
cat=0.879191
chair=0.628462
cow=0.851381
diningtable=0.746276
dog=0.853714
horse=0.877583
motorbike=0.864728
person=0.806216
pottedplant=0.533775
sheep=0.800546
sofa=0.798293
train=0.868204
tvmonitor=0.801274
mAP=0.790243
[Epoch 202][Batch 99], Speed: 36.720993 samples/sec, CrossEntropy=1.380440, SmoothL1=0.560293, accuracy=0.880450
[Epoch 202][Batch 199], Speed: 38.823645 samples/sec, CrossEntropy=1.388130, SmoothL1=0.565938, accuracy=0.879727
[Epoch 202][Batch 299], Speed: 37.067116 samples/sec, CrossEntropy=1.388435, SmoothL1=0.564491, accuracy=0.879344
[Epoch 202][Batch 399], Speed: 37.457169 samples/sec, CrossEntropy=1.390281, SmoothL1=0.560285, accuracy=0.879485
[Epoch 202][Batch 499], Speed: 38.500030 samples/sec, CrossEntropy=1.382822, SmoothL1=0.553303, accuracy=0.879877
[Epoch 202] Training cost: 454.683256, CrossEntropy=1.384115, SmoothL1=0.553872, accuracy=0.879801
[Epoch 202] Validation:
aeroplane=0.820157
bicycle=0.856491
bird=0.803091
boat=0.702168
bottle=0.562769
bus=0.873735
car=0.878545
cat=0.879561
chair=0.629388
cow=0.852507
diningtable=0.747905
dog=0.854839
horse=0.875709
motorbike=0.864118
person=0.806927
pottedplant=0.533914
sheep=0.794711
sofa=0.802358
train=0.868371
tvmonitor=0.799503
mAP=0.790338
[Epoch 203][Batch 99], Speed: 37.384221 samples/sec, CrossEntropy=1.356440, SmoothL1=0.538468, accuracy=0.883089
[Epoch 203][Batch 199], Speed: 38.307481 samples/sec, CrossEntropy=1.367064, SmoothL1=0.548102, accuracy=0.881484
[Epoch 203][Batch 299], Speed: 36.553670 samples/sec, CrossEntropy=1.369484, SmoothL1=0.551000, accuracy=0.881332
[Epoch 203][Batch 399], Speed: 34.444972 samples/sec, CrossEntropy=1.373941, SmoothL1=0.553221, accuracy=0.880768
[Epoch 203][Batch 499], Speed: 31.426563 samples/sec, CrossEntropy=1.372071, SmoothL1=0.553476, accuracy=0.880864
[Epoch 203] Training cost: 455.496170, CrossEntropy=1.372937, SmoothL1=0.553095, accuracy=0.880829
[Epoch 203] Validation:
aeroplane=0.817421
bicycle=0.856177
bird=0.802781
boat=0.710152
bottle=0.567847
bus=0.873331
car=0.877893
cat=0.878219
chair=0.627766
cow=0.851525
diningtable=0.740803
dog=0.850425
horse=0.876997
motorbike=0.861735
person=0.807367
pottedplant=0.534102
sheep=0.797572
sofa=0.803701
train=0.868935
tvmonitor=0.797440
mAP=0.790109
[Epoch 204][Batch 99], Speed: 40.969552 samples/sec, CrossEntropy=1.347700, SmoothL1=0.549101, accuracy=0.882540
[Epoch 204][Batch 199], Speed: 38.818323 samples/sec, CrossEntropy=1.365133, SmoothL1=0.555281, accuracy=0.881520
[Epoch 204][Batch 299], Speed: 39.861782 samples/sec, CrossEntropy=1.362326, SmoothL1=0.550508, accuracy=0.881949
[Epoch 204][Batch 399], Speed: 36.566955 samples/sec, CrossEntropy=1.365561, SmoothL1=0.548948, accuracy=0.881412
[Epoch 204][Batch 499], Speed: 40.082570 samples/sec, CrossEntropy=1.369678, SmoothL1=0.548291, accuracy=0.881235
[Epoch 204] Training cost: 455.392888, CrossEntropy=1.370283, SmoothL1=0.547866, accuracy=0.881214
[Epoch 204] Validation:
aeroplane=0.817047
bicycle=0.861381
bird=0.799674
boat=0.701609
bottle=0.565726
bus=0.872514
car=0.877750
cat=0.881042
chair=0.625764
cow=0.851312
diningtable=0.744069
dog=0.850622
horse=0.876961
motorbike=0.861720
person=0.808751
pottedplant=0.537459
sheep=0.797018
sofa=0.801704
train=0.867658
tvmonitor=0.798488
mAP=0.789913
[Epoch 205][Batch 99], Speed: 36.147247 samples/sec, CrossEntropy=1.336784, SmoothL1=0.530568, accuracy=0.885147
[Epoch 205][Batch 199], Speed: 33.708658 samples/sec, CrossEntropy=1.357660, SmoothL1=0.540270, accuracy=0.882022
[Epoch 205][Batch 299], Speed: 39.128035 samples/sec, CrossEntropy=1.358708, SmoothL1=0.543799, accuracy=0.881872
[Epoch 205][Batch 399], Speed: 35.868248 samples/sec, CrossEntropy=1.359930, SmoothL1=0.543865, accuracy=0.881843
[Epoch 205][Batch 499], Speed: 37.244981 samples/sec, CrossEntropy=1.369562, SmoothL1=0.548835, accuracy=0.880918
[Epoch 205] Training cost: 455.279678, CrossEntropy=1.371010, SmoothL1=0.550122, accuracy=0.880794
[Epoch 205] Validation:
aeroplane=0.817354
bicycle=0.856863
bird=0.806124
boat=0.711404
bottle=0.566232
bus=0.872949
car=0.878841
cat=0.879688
chair=0.627685
cow=0.852823
diningtable=0.742128
dog=0.850897
horse=0.876458
motorbike=0.864571
person=0.809602
pottedplant=0.531597
sheep=0.800283
sofa=0.802612
train=0.868347
tvmonitor=0.799145
mAP=0.790780
[Epoch 206][Batch 99], Speed: 39.307497 samples/sec, CrossEntropy=1.363254, SmoothL1=0.558179, accuracy=0.882626
[Epoch 206][Batch 199], Speed: 37.852893 samples/sec, CrossEntropy=1.362866, SmoothL1=0.552090, accuracy=0.882051
[Epoch 206][Batch 299], Speed: 35.262763 samples/sec, CrossEntropy=1.365523, SmoothL1=0.551299, accuracy=0.881595
[Epoch 206][Batch 399], Speed: 35.008721 samples/sec, CrossEntropy=1.367355, SmoothL1=0.549218, accuracy=0.881295
[Epoch 206][Batch 499], Speed: 37.562838 samples/sec, CrossEntropy=1.370217, SmoothL1=0.552558, accuracy=0.881000
[Epoch 206] Training cost: 455.355495, CrossEntropy=1.370591, SmoothL1=0.552209, accuracy=0.880955
[Epoch 206] Validation:
aeroplane=0.820873
bicycle=0.856376
bird=0.804862
boat=0.702365
bottle=0.571382
bus=0.873997
car=0.878417
cat=0.880232
chair=0.632270
cow=0.853637
diningtable=0.741592
dog=0.850481
horse=0.874884
motorbike=0.865751
person=0.809965
pottedplant=0.533093
sheep=0.798396
sofa=0.801847
train=0.868527
tvmonitor=0.799197
mAP=0.790907
[Epoch 207][Batch 99], Speed: 35.825835 samples/sec, CrossEntropy=1.357243, SmoothL1=0.545322, accuracy=0.883222
[Epoch 207][Batch 199], Speed: 36.979766 samples/sec, CrossEntropy=1.374761, SmoothL1=0.559262, accuracy=0.880382
[Epoch 207][Batch 299], Speed: 33.281053 samples/sec, CrossEntropy=1.373597, SmoothL1=0.553273, accuracy=0.880897
[Epoch 207][Batch 399], Speed: 35.377412 samples/sec, CrossEntropy=1.374087, SmoothL1=0.552429, accuracy=0.881262
[Epoch 207][Batch 499], Speed: 39.307980 samples/sec, CrossEntropy=1.370883, SmoothL1=0.549033, accuracy=0.881322
[Epoch 207] Training cost: 456.322453, CrossEntropy=1.371335, SmoothL1=0.548522, accuracy=0.881269
[Epoch 207] Validation:
aeroplane=0.819865
bicycle=0.855541
bird=0.804090
boat=0.711650
bottle=0.571486
bus=0.874241
car=0.878589
cat=0.878794
chair=0.627106
cow=0.853845
diningtable=0.746850
dog=0.849495
horse=0.876503
motorbike=0.867269
person=0.808354
pottedplant=0.525322
sheep=0.798918
sofa=0.804009
train=0.868382
tvmonitor=0.799286
mAP=0.790980
[Epoch 208][Batch 99], Speed: 36.311353 samples/sec, CrossEntropy=1.336042, SmoothL1=0.519968, accuracy=0.883782
[Epoch 208][Batch 199], Speed: 38.746457 samples/sec, CrossEntropy=1.368121, SmoothL1=0.543187, accuracy=0.881782
[Epoch 208][Batch 299], Speed: 33.180841 samples/sec, CrossEntropy=1.365819, SmoothL1=0.547577, accuracy=0.881635
[Epoch 208][Batch 399], Speed: 38.013878 samples/sec, CrossEntropy=1.367870, SmoothL1=0.546845, accuracy=0.881468
[Epoch 208][Batch 499], Speed: 40.001302 samples/sec, CrossEntropy=1.375426, SmoothL1=0.553551, accuracy=0.881010
[Epoch 208] Training cost: 454.513048, CrossEntropy=1.373355, SmoothL1=0.551674, accuracy=0.881200
[Epoch 208] Validation:
aeroplane=0.823057
bicycle=0.858457
bird=0.802238
boat=0.711638
bottle=0.571186
bus=0.872595
car=0.879398
cat=0.876591
chair=0.627796
cow=0.852317
diningtable=0.729802
dog=0.854077
horse=0.876272
motorbike=0.865839
person=0.809552
pottedplant=0.533535
sheep=0.798637
sofa=0.800995
train=0.867792
tvmonitor=0.800945
mAP=0.790636
[Epoch 209][Batch 99], Speed: 38.043919 samples/sec, CrossEntropy=1.351753, SmoothL1=0.549538, accuracy=0.883126
[Epoch 209][Batch 199], Speed: 34.817200 samples/sec, CrossEntropy=1.357156, SmoothL1=0.549614, accuracy=0.882339
[Epoch 209][Batch 299], Speed: 38.412180 samples/sec, CrossEntropy=1.362813, SmoothL1=0.553499, accuracy=0.881356
[Epoch 209][Batch 399], Speed: 37.176326 samples/sec, CrossEntropy=1.359527, SmoothL1=0.548096, accuracy=0.881776
[Epoch 209][Batch 499], Speed: 38.966838 samples/sec, CrossEntropy=1.362373, SmoothL1=0.547503, accuracy=0.881659
[Epoch 209] Training cost: 455.975395, CrossEntropy=1.361316, SmoothL1=0.546401, accuracy=0.881806
[Epoch 209] Validation:
aeroplane=0.818047
bicycle=0.859245
bird=0.801385
boat=0.714687
bottle=0.572850
bus=0.873068
car=0.878858
cat=0.879937
chair=0.627908
cow=0.852769
diningtable=0.743818
dog=0.852146
horse=0.876046
motorbike=0.863755
person=0.808695
pottedplant=0.534209
sheep=0.797779
sofa=0.801509
train=0.867518
tvmonitor=0.799094
mAP=0.791166
[Epoch 210][Batch 99], Speed: 39.300741 samples/sec, CrossEntropy=1.366520, SmoothL1=0.550913, accuracy=0.881100
[Epoch 210][Batch 199], Speed: 38.185383 samples/sec, CrossEntropy=1.371154, SmoothL1=0.547743, accuracy=0.881576
[Epoch 210][Batch 299], Speed: 37.371824 samples/sec, CrossEntropy=1.363982, SmoothL1=0.545424, accuracy=0.881702
[Epoch 210][Batch 399], Speed: 37.093710 samples/sec, CrossEntropy=1.365420, SmoothL1=0.543179, accuracy=0.881710
[Epoch 210][Batch 499], Speed: 38.008991 samples/sec, CrossEntropy=1.367342, SmoothL1=0.545107, accuracy=0.881430
[Epoch 210] Training cost: 454.973403, CrossEntropy=1.369031, SmoothL1=0.545173, accuracy=0.881318
[Epoch 210] Validation:
aeroplane=0.806863
bicycle=0.854870
bird=0.803675
boat=0.710517
bottle=0.569579
bus=0.873136
car=0.878757
cat=0.878197
chair=0.627097
cow=0.853693
diningtable=0.741712
dog=0.848387
horse=0.875855
motorbike=0.864687
person=0.809870
pottedplant=0.533430
sheep=0.799025
sofa=0.800981
train=0.865952
tvmonitor=0.797788
mAP=0.789704
[Epoch 211][Batch 99], Speed: 37.599372 samples/sec, CrossEntropy=1.324460, SmoothL1=0.530866, accuracy=0.885528
[Epoch 211][Batch 199], Speed: 34.475293 samples/sec, CrossEntropy=1.347811, SmoothL1=0.547560, accuracy=0.882995
[Epoch 211][Batch 299], Speed: 37.546571 samples/sec, CrossEntropy=1.354712, SmoothL1=0.550155, accuracy=0.882125
[Epoch 211][Batch 399], Speed: 35.312723 samples/sec, CrossEntropy=1.366065, SmoothL1=0.553130, accuracy=0.881393
[Epoch 211][Batch 499], Speed: 39.567378 samples/sec, CrossEntropy=1.357427, SmoothL1=0.544885, accuracy=0.881952
[Epoch 211] Training cost: 455.204461, CrossEntropy=1.356234, SmoothL1=0.544934, accuracy=0.882018
[Epoch 211] Validation:
aeroplane=0.814503
bicycle=0.860548
bird=0.801615
boat=0.708530
bottle=0.571590
bus=0.872420
car=0.878535
cat=0.877144
chair=0.627182
cow=0.852774
diningtable=0.742564
dog=0.852029
horse=0.875877
motorbike=0.866654
person=0.808005
pottedplant=0.533493
sheep=0.798459
sofa=0.805369
train=0.867305
tvmonitor=0.798626
mAP=0.790661
[Epoch 212][Batch 99], Speed: 37.867268 samples/sec, CrossEntropy=1.357709, SmoothL1=0.539771, accuracy=0.882539
[Epoch 212][Batch 199], Speed: 38.968411 samples/sec, CrossEntropy=1.395867, SmoothL1=0.565939, accuracy=0.879002
[Epoch 212][Batch 299], Speed: 33.998676 samples/sec, CrossEntropy=1.378070, SmoothL1=0.557671, accuracy=0.880543
[Epoch 212][Batch 399], Speed: 36.826524 samples/sec, CrossEntropy=1.383708, SmoothL1=0.556609, accuracy=0.880375
[Epoch 212][Batch 499], Speed: 37.653305 samples/sec, CrossEntropy=1.379219, SmoothL1=0.554395, accuracy=0.880592
[Epoch 212] Training cost: 455.934063, CrossEntropy=1.378962, SmoothL1=0.553951, accuracy=0.880605
[Epoch 212] Validation:
aeroplane=0.817158
bicycle=0.860475
bird=0.804273
boat=0.699829
bottle=0.574966
bus=0.873716
car=0.878522
cat=0.878811
chair=0.624999
cow=0.854286
diningtable=0.743955
dog=0.852745
horse=0.876708
motorbike=0.866893
person=0.809115
pottedplant=0.532082
sheep=0.794325
sofa=0.802204
train=0.864564
tvmonitor=0.798036
mAP=0.790383
[Epoch 213][Batch 99], Speed: 34.407673 samples/sec, CrossEntropy=1.353019, SmoothL1=0.539452, accuracy=0.881686
[Epoch 213][Batch 199], Speed: 38.181375 samples/sec, CrossEntropy=1.367081, SmoothL1=0.553014, accuracy=0.880533
[Epoch 213][Batch 299], Speed: 35.731984 samples/sec, CrossEntropy=1.367666, SmoothL1=0.553654, accuracy=0.880627
[Epoch 213][Batch 399], Speed: 36.401898 samples/sec, CrossEntropy=1.370454, SmoothL1=0.550644, accuracy=0.880727
[Epoch 213][Batch 499], Speed: 37.124264 samples/sec, CrossEntropy=1.374447, SmoothL1=0.553440, accuracy=0.880584
[Epoch 213] Training cost: 457.448567, CrossEntropy=1.373321, SmoothL1=0.552540, accuracy=0.880672
[Epoch 213] Validation:
aeroplane=0.815620
bicycle=0.863072
bird=0.805303
boat=0.699379
bottle=0.569163
bus=0.872266
car=0.878652
cat=0.880703
chair=0.628155
cow=0.854802
diningtable=0.744132
dog=0.849276
horse=0.877191
motorbike=0.865929
person=0.809552
pottedplant=0.534296
sheep=0.796647
sofa=0.802314
train=0.865645
tvmonitor=0.800369
mAP=0.790623
[Epoch 214][Batch 99], Speed: 34.094671 samples/sec, CrossEntropy=1.351467, SmoothL1=0.547478, accuracy=0.882857
[Epoch 214][Batch 199], Speed: 37.720321 samples/sec, CrossEntropy=1.358774, SmoothL1=0.545240, accuracy=0.882217
[Epoch 214][Batch 299], Speed: 37.113886 samples/sec, CrossEntropy=1.370633, SmoothL1=0.549217, accuracy=0.881371
[Epoch 214][Batch 399], Speed: 35.784495 samples/sec, CrossEntropy=1.367270, SmoothL1=0.544916, accuracy=0.881499
[Epoch 214][Batch 499], Speed: 40.284260 samples/sec, CrossEntropy=1.364494, SmoothL1=0.541718, accuracy=0.881638
[Epoch 214] Training cost: 453.891128, CrossEntropy=1.364579, SmoothL1=0.540824, accuracy=0.881542
[Epoch 214] Validation:
aeroplane=0.819401
bicycle=0.861610
bird=0.803014
boat=0.715848
bottle=0.570869
bus=0.872675
car=0.878714
cat=0.879310
chair=0.625019
cow=0.854050
diningtable=0.744893
dog=0.854764
horse=0.876410
motorbike=0.865211
person=0.808667
pottedplant=0.534195
sheep=0.794689
sofa=0.801453
train=0.868047
tvmonitor=0.797980
mAP=0.791341
[Epoch 215][Batch 99], Speed: 36.136590 samples/sec, CrossEntropy=1.348874, SmoothL1=0.540610, accuracy=0.883372
[Epoch 215][Batch 199], Speed: 37.593054 samples/sec, CrossEntropy=1.358683, SmoothL1=0.545583, accuracy=0.882460
[Epoch 215][Batch 299], Speed: 37.163500 samples/sec, CrossEntropy=1.358822, SmoothL1=0.549903, accuracy=0.882036
[Epoch 215][Batch 399], Speed: 37.927812 samples/sec, CrossEntropy=1.365022, SmoothL1=0.551836, accuracy=0.881225
[Epoch 215][Batch 499], Speed: 36.508251 samples/sec, CrossEntropy=1.366150, SmoothL1=0.549176, accuracy=0.881111
[Epoch 215] Training cost: 454.474342, CrossEntropy=1.365542, SmoothL1=0.548855, accuracy=0.881141
[Epoch 215] Validation:
aeroplane=0.816519
bicycle=0.853536
bird=0.808491
boat=0.708976
bottle=0.568065
bus=0.871849
car=0.877563
cat=0.878473
chair=0.631034
cow=0.855649
diningtable=0.744110
dog=0.855364
horse=0.875525
motorbike=0.861845
person=0.807232
pottedplant=0.535231
sheep=0.797080
sofa=0.807130
train=0.868710
tvmonitor=0.797963
mAP=0.791017
[Epoch 216][Batch 99], Speed: 38.319817 samples/sec, CrossEntropy=1.340352, SmoothL1=0.536856, accuracy=0.883022
[Epoch 216][Batch 199], Speed: 36.979593 samples/sec, CrossEntropy=1.345675, SmoothL1=0.537118, accuracy=0.882473
[Epoch 216][Batch 299], Speed: 38.478320 samples/sec, CrossEntropy=1.349855, SmoothL1=0.537833, accuracy=0.882428
[Epoch 216][Batch 399], Speed: 38.473235 samples/sec, CrossEntropy=1.360488, SmoothL1=0.546285, accuracy=0.881435
[Epoch 216][Batch 499], Speed: 35.689076 samples/sec, CrossEntropy=1.369102, SmoothL1=0.548179, accuracy=0.880788
[Epoch 216] Training cost: 454.814183, CrossEntropy=1.371175, SmoothL1=0.548741, accuracy=0.880655
[Epoch 216] Validation:
aeroplane=0.820541
bicycle=0.854698
bird=0.806160
boat=0.710454
bottle=0.572260
bus=0.871638
car=0.877634
cat=0.879718
chair=0.629086
cow=0.853871
diningtable=0.744674
dog=0.848697
horse=0.875490
motorbike=0.866055
person=0.809750
pottedplant=0.538529
sheep=0.794687
sofa=0.809279
train=0.863577
tvmonitor=0.797499
mAP=0.791215
[Epoch 217][Batch 99], Speed: 38.746547 samples/sec, CrossEntropy=1.372508, SmoothL1=0.548306, accuracy=0.881232
[Epoch 217][Batch 199], Speed: 35.745687 samples/sec, CrossEntropy=1.384088, SmoothL1=0.557035, accuracy=0.879763
[Epoch 217][Batch 299], Speed: 37.051225 samples/sec, CrossEntropy=1.381069, SmoothL1=0.557319, accuracy=0.879871
[Epoch 217][Batch 399], Speed: 34.264469 samples/sec, CrossEntropy=1.379735, SmoothL1=0.553582, accuracy=0.880024
[Epoch 217][Batch 499], Speed: 39.021307 samples/sec, CrossEntropy=1.375977, SmoothL1=0.550031, accuracy=0.880428
[Epoch 217] Training cost: 454.924368, CrossEntropy=1.373442, SmoothL1=0.547945, accuracy=0.880622
[Epoch 217] Validation:
aeroplane=0.817034
bicycle=0.855433
bird=0.800808
boat=0.710653
bottle=0.568900
bus=0.872186
car=0.877889
cat=0.878841
chair=0.628555
cow=0.853569
diningtable=0.734957
dog=0.851077
horse=0.876345
motorbike=0.863040
person=0.808167
pottedplant=0.532763
sheep=0.794603
sofa=0.806251
train=0.869991
tvmonitor=0.797579
mAP=0.789932
[Epoch 218][Batch 99], Speed: 36.329576 samples/sec, CrossEntropy=1.352890, SmoothL1=0.555355, accuracy=0.882076
[Epoch 218][Batch 199], Speed: 37.400618 samples/sec, CrossEntropy=1.366211, SmoothL1=0.560045, accuracy=0.881609
[Epoch 218][Batch 299], Speed: 37.973815 samples/sec, CrossEntropy=1.371509, SmoothL1=0.560420, accuracy=0.881489
[Epoch 218][Batch 399], Speed: 37.963719 samples/sec, CrossEntropy=1.368809, SmoothL1=0.555090, accuracy=0.881311
[Epoch 218][Batch 499], Speed: 37.929967 samples/sec, CrossEntropy=1.366882, SmoothL1=0.548852, accuracy=0.881347
[Epoch 218] Training cost: 456.391612, CrossEntropy=1.364755, SmoothL1=0.548272, accuracy=0.881444
[Epoch 218] Validation:
aeroplane=0.819681
bicycle=0.862238
bird=0.802230
boat=0.714754
bottle=0.568605
bus=0.871633
car=0.878416
cat=0.878546
chair=0.626733
cow=0.852856
diningtable=0.745800
dog=0.852784
horse=0.874926
motorbike=0.860364
person=0.808252
pottedplant=0.534070
sheep=0.795552
sofa=0.803421
train=0.868474
tvmonitor=0.802956
mAP=0.791115
[Epoch 219][Batch 99], Speed: 32.622473 samples/sec, CrossEntropy=1.365571, SmoothL1=0.556831, accuracy=0.882119
[Epoch 219][Batch 199], Speed: 35.600802 samples/sec, CrossEntropy=1.362878, SmoothL1=0.554525, accuracy=0.881682
[Epoch 219][Batch 299], Speed: 38.921018 samples/sec, CrossEntropy=1.359612, SmoothL1=0.548870, accuracy=0.881916
[Epoch 219][Batch 399], Speed: 35.332096 samples/sec, CrossEntropy=1.361299, SmoothL1=0.548341, accuracy=0.881781
[Epoch 219][Batch 499], Speed: 38.763164 samples/sec, CrossEntropy=1.364720, SmoothL1=0.549001, accuracy=0.881621
[Epoch 219] Training cost: 453.006669, CrossEntropy=1.366523, SmoothL1=0.550345, accuracy=0.881455
[Epoch 219] Validation:
aeroplane=0.822970
bicycle=0.853445
bird=0.800987
boat=0.715523
bottle=0.568126
bus=0.872011
car=0.877276
cat=0.875517
chair=0.626923
cow=0.855222
diningtable=0.746329
dog=0.852846
horse=0.875222
motorbike=0.863103
person=0.810366
pottedplant=0.539345
sheep=0.796386
sofa=0.805565
train=0.867881
tvmonitor=0.798729
mAP=0.791189
[Epoch 220][Batch 99], Speed: 39.380455 samples/sec, CrossEntropy=1.404660, SmoothL1=0.575267, accuracy=0.878396
[Epoch 220][Batch 199], Speed: 39.572966 samples/sec, CrossEntropy=1.394389, SmoothL1=0.573173, accuracy=0.879550
[Epoch 220][Batch 299], Speed: 37.205717 samples/sec, CrossEntropy=1.382497, SmoothL1=0.565032, accuracy=0.880267
[Epoch 220][Batch 399], Speed: 37.682397 samples/sec, CrossEntropy=1.382876, SmoothL1=0.561379, accuracy=0.880176
[Epoch 220][Batch 499], Speed: 37.891171 samples/sec, CrossEntropy=1.380507, SmoothL1=0.556832, accuracy=0.880554
[Epoch 220] Training cost: 456.855601, CrossEntropy=1.377327, SmoothL1=0.555826, accuracy=0.880738
[Epoch 220] Validation:
aeroplane=0.819586
bicycle=0.861535
bird=0.806439
boat=0.708658
bottle=0.566231
bus=0.872098
car=0.877663
cat=0.877472
chair=0.623123
cow=0.853616
diningtable=0.749094
dog=0.850584
horse=0.875925
motorbike=0.859576
person=0.807116
pottedplant=0.538393
sheep=0.795259
sofa=0.804606
train=0.868999
tvmonitor=0.798412
mAP=0.790719
[Epoch 221][Batch 99], Speed: 36.901773 samples/sec, CrossEntropy=1.343512, SmoothL1=0.530996, accuracy=0.883332
[Epoch 221][Batch 199], Speed: 34.730628 samples/sec, CrossEntropy=1.360763, SmoothL1=0.540740, accuracy=0.881804
[Epoch 221][Batch 299], Speed: 35.940928 samples/sec, CrossEntropy=1.362298, SmoothL1=0.544208, accuracy=0.881298
[Epoch 221][Batch 399], Speed: 38.936023 samples/sec, CrossEntropy=1.359108, SmoothL1=0.540445, accuracy=0.881645
[Epoch 221][Batch 499], Speed: 38.012285 samples/sec, CrossEntropy=1.364592, SmoothL1=0.544983, accuracy=0.881463
[Epoch 221] Training cost: 454.280881, CrossEntropy=1.365875, SmoothL1=0.545749, accuracy=0.881335
[Epoch 221] Validation:
aeroplane=0.823716
bicycle=0.862650
bird=0.802576
boat=0.723253
bottle=0.567815
bus=0.873631
car=0.877597
cat=0.875985
chair=0.623403
cow=0.854143
diningtable=0.747435
dog=0.851537
horse=0.874408
motorbike=0.860530
person=0.809915
pottedplant=0.544501
sheep=0.796352
sofa=0.802858
train=0.868580
tvmonitor=0.798290
mAP=0.791959
[Epoch 222][Batch 99], Speed: 33.350005 samples/sec, CrossEntropy=1.358934, SmoothL1=0.550882, accuracy=0.881683
[Epoch 222][Batch 199], Speed: 38.752129 samples/sec, CrossEntropy=1.363736, SmoothL1=0.553086, accuracy=0.881045
[Epoch 222][Batch 299], Speed: 37.769966 samples/sec, CrossEntropy=1.363368, SmoothL1=0.550529, accuracy=0.881284
[Epoch 222][Batch 399], Speed: 36.101414 samples/sec, CrossEntropy=1.371940, SmoothL1=0.549775, accuracy=0.880785
[Epoch 222][Batch 499], Speed: 36.705247 samples/sec, CrossEntropy=1.379203, SmoothL1=0.552577, accuracy=0.880283
[Epoch 222] Training cost: 456.256135, CrossEntropy=1.380485, SmoothL1=0.552077, accuracy=0.880204
[Epoch 222] Validation:
aeroplane=0.811421
bicycle=0.855753
bird=0.804775
boat=0.706691
bottle=0.570649
bus=0.873273
car=0.878426
cat=0.877405
chair=0.632551
cow=0.854216
diningtable=0.746232
dog=0.855459
horse=0.875367
motorbike=0.857400
person=0.808157
pottedplant=0.535824
sheep=0.797971
sofa=0.805544
train=0.867769
tvmonitor=0.801020
mAP=0.790795
[Epoch 223][Batch 99], Speed: 35.995619 samples/sec, CrossEntropy=1.356003, SmoothL1=0.539844, accuracy=0.884061
[Epoch 223][Batch 199], Speed: 36.878301 samples/sec, CrossEntropy=1.382720, SmoothL1=0.555174, accuracy=0.881327
[Epoch 223][Batch 299], Speed: 36.456477 samples/sec, CrossEntropy=1.365295, SmoothL1=0.546275, accuracy=0.882478
[Epoch 223][Batch 399], Speed: 36.986522 samples/sec, CrossEntropy=1.374611, SmoothL1=0.548917, accuracy=0.881109
[Epoch 223][Batch 499], Speed: 37.335376 samples/sec, CrossEntropy=1.374274, SmoothL1=0.550317, accuracy=0.881165
[Epoch 223] Training cost: 454.705120, CrossEntropy=1.373327, SmoothL1=0.549625, accuracy=0.881180
[Epoch 223] Validation:
aeroplane=0.820411
bicycle=0.860524
bird=0.802512
boat=0.715338
bottle=0.570845
bus=0.872442
car=0.878563
cat=0.878126
chair=0.624565
cow=0.853300
diningtable=0.746162
dog=0.850482
horse=0.875605
motorbike=0.864671
person=0.809715
pottedplant=0.535211
sheep=0.799763
sofa=0.803969
train=0.868422
tvmonitor=0.801315
mAP=0.791597
[Epoch 224][Batch 99], Speed: 34.639533 samples/sec, CrossEntropy=1.331174, SmoothL1=0.530976, accuracy=0.883766
[Epoch 224][Batch 199], Speed: 37.815800 samples/sec, CrossEntropy=1.350346, SmoothL1=0.541814, accuracy=0.882036
[Epoch 224][Batch 299], Speed: 35.053513 samples/sec, CrossEntropy=1.357756, SmoothL1=0.545881, accuracy=0.881789
[Epoch 224][Batch 399], Speed: 39.370463 samples/sec, CrossEntropy=1.353119, SmoothL1=0.538854, accuracy=0.882209
[Epoch 224][Batch 499], Speed: 36.104871 samples/sec, CrossEntropy=1.357235, SmoothL1=0.540671, accuracy=0.881933
[Epoch 224] Training cost: 455.060650, CrossEntropy=1.358421, SmoothL1=0.539703, accuracy=0.881901
[Epoch 224] Validation:
aeroplane=0.819520
bicycle=0.863911
bird=0.800503
boat=0.716211
bottle=0.570812
bus=0.873925
car=0.877986
cat=0.878238
chair=0.625366
cow=0.855190
diningtable=0.747364
dog=0.850476
horse=0.875316
motorbike=0.862251
person=0.808313
pottedplant=0.532190
sheep=0.797479
sofa=0.804671
train=0.871121
tvmonitor=0.803213
mAP=0.791703
[Epoch 225][Batch 99], Speed: 35.508914 samples/sec, CrossEntropy=1.371561, SmoothL1=0.563099, accuracy=0.881378
[Epoch 225][Batch 199], Speed: 37.808386 samples/sec, CrossEntropy=1.371711, SmoothL1=0.560526, accuracy=0.881010
[Epoch 225][Batch 299], Speed: 38.139322 samples/sec, CrossEntropy=1.370805, SmoothL1=0.553369, accuracy=0.880909
[Epoch 225][Batch 399], Speed: 38.891537 samples/sec, CrossEntropy=1.370094, SmoothL1=0.549135, accuracy=0.881145
[Epoch 225][Batch 499], Speed: 38.614650 samples/sec, CrossEntropy=1.374127, SmoothL1=0.550122, accuracy=0.880823
[Epoch 225] Training cost: 454.893617, CrossEntropy=1.373141, SmoothL1=0.550014, accuracy=0.880816
[Epoch 225] Validation:
aeroplane=0.820304
bicycle=0.862555
bird=0.798982
boat=0.706592
bottle=0.568130
bus=0.873922
car=0.878309
cat=0.877162
chair=0.626840
cow=0.855311
diningtable=0.744258
dog=0.851588
horse=0.875482
motorbike=0.862549
person=0.810219
pottedplant=0.535287
sheep=0.800239
sofa=0.800588
train=0.867575
tvmonitor=0.802025
mAP=0.790896
[Epoch 226][Batch 99], Speed: 38.883560 samples/sec, CrossEntropy=1.368510, SmoothL1=0.549616, accuracy=0.881588
[Epoch 226][Batch 199], Speed: 35.401328 samples/sec, CrossEntropy=1.378333, SmoothL1=0.557730, accuracy=0.880563
[Epoch 226][Batch 299], Speed: 36.626018 samples/sec, CrossEntropy=1.370685, SmoothL1=0.553372, accuracy=0.881324
[Epoch 226][Batch 399], Speed: 38.152516 samples/sec, CrossEntropy=1.374521, SmoothL1=0.554010, accuracy=0.881019
[Epoch 226][Batch 499], Speed: 36.021432 samples/sec, CrossEntropy=1.367526, SmoothL1=0.549961, accuracy=0.881294
[Epoch 226] Training cost: 455.935488, CrossEntropy=1.367175, SmoothL1=0.550234, accuracy=0.881279
[Epoch 226] Validation:
aeroplane=0.819970
bicycle=0.862437
bird=0.803188
boat=0.706990
bottle=0.564951
bus=0.874214
car=0.878409
cat=0.878476
chair=0.626316
cow=0.856000
diningtable=0.735156
dog=0.850918
horse=0.876976
motorbike=0.866669
person=0.808936
pottedplant=0.533908
sheep=0.795884
sofa=0.802168
train=0.868872
tvmonitor=0.803336
mAP=0.790689
[Epoch 227][Batch 99], Speed: 36.919832 samples/sec, CrossEntropy=1.354139, SmoothL1=0.530895, accuracy=0.882680
[Epoch 227][Batch 199], Speed: 38.391821 samples/sec, CrossEntropy=1.363497, SmoothL1=0.540029, accuracy=0.881542
[Epoch 227][Batch 299], Speed: 36.996565 samples/sec, CrossEntropy=1.370054, SmoothL1=0.547572, accuracy=0.880850
[Epoch 227][Batch 399], Speed: 35.048561 samples/sec, CrossEntropy=1.363167, SmoothL1=0.543915, accuracy=0.881626
[Epoch 227][Batch 499], Speed: 36.892543 samples/sec, CrossEntropy=1.364332, SmoothL1=0.544252, accuracy=0.881530
[Epoch 227] Training cost: 455.760459, CrossEntropy=1.363732, SmoothL1=0.543587, accuracy=0.881539
[Epoch 227] Validation:
aeroplane=0.820475
bicycle=0.850983
bird=0.809701
boat=0.714911
bottle=0.566252
bus=0.873866
car=0.877781
cat=0.876690
chair=0.623174
cow=0.854515
diningtable=0.735426
dog=0.850112
horse=0.875255
motorbike=0.861356
person=0.807719
pottedplant=0.531467
sheep=0.795226
sofa=0.801938
train=0.869622
tvmonitor=0.799264
mAP=0.789787
[Epoch 228][Batch 99], Speed: 38.469166 samples/sec, CrossEntropy=1.354764, SmoothL1=0.557965, accuracy=0.883378
[Epoch 228][Batch 199], Speed: 37.828494 samples/sec, CrossEntropy=1.355658, SmoothL1=0.556530, accuracy=0.882479
[Epoch 228][Batch 299], Speed: 36.531553 samples/sec, CrossEntropy=1.360173, SmoothL1=0.553352, accuracy=0.881856
[Epoch 228][Batch 399], Speed: 38.866513 samples/sec, CrossEntropy=1.361028, SmoothL1=0.548740, accuracy=0.881925
[Epoch 228][Batch 499], Speed: 37.384263 samples/sec, CrossEntropy=1.364196, SmoothL1=0.547906, accuracy=0.881786
[Epoch 228] Training cost: 455.008884, CrossEntropy=1.364398, SmoothL1=0.547731, accuracy=0.881728
[Epoch 228] Validation:
aeroplane=0.820775
bicycle=0.862352
bird=0.807950
boat=0.711674
bottle=0.569384
bus=0.872479
car=0.878585
cat=0.874438
chair=0.628338
cow=0.855337
diningtable=0.735960
dog=0.854582
horse=0.874943
motorbike=0.866110
person=0.808980
pottedplant=0.530879
sheep=0.794681
sofa=0.800975
train=0.866974
tvmonitor=0.801594
mAP=0.790850
[Epoch 229][Batch 99], Speed: 37.610783 samples/sec, CrossEntropy=1.338805, SmoothL1=0.549574, accuracy=0.883433
[Epoch 229][Batch 199], Speed: 37.524076 samples/sec, CrossEntropy=1.341740, SmoothL1=0.539621, accuracy=0.882920
[Epoch 229][Batch 299], Speed: 35.703801 samples/sec, CrossEntropy=1.365206, SmoothL1=0.549292, accuracy=0.880928
[Epoch 229][Batch 399], Speed: 36.337985 samples/sec, CrossEntropy=1.369630, SmoothL1=0.549787, accuracy=0.880667
[Epoch 229][Batch 499], Speed: 38.121654 samples/sec, CrossEntropy=1.370593, SmoothL1=0.549423, accuracy=0.880760
[Epoch 229] Training cost: 454.660327, CrossEntropy=1.370753, SmoothL1=0.549314, accuracy=0.880805
[Epoch 229] Validation:
aeroplane=0.819252
bicycle=0.863552
bird=0.807156
boat=0.707294
bottle=0.569573
bus=0.873579
car=0.878941
cat=0.875900
chair=0.627731
cow=0.854680
diningtable=0.745383
dog=0.854018
horse=0.874748
motorbike=0.866955
person=0.808056
pottedplant=0.533025
sheep=0.793016
sofa=0.796358
train=0.865681
tvmonitor=0.799454
mAP=0.790718
[Epoch 230][Batch 99], Speed: 38.605054 samples/sec, CrossEntropy=1.349546, SmoothL1=0.537368, accuracy=0.881352
[Epoch 230][Batch 199], Speed: 37.311733 samples/sec, CrossEntropy=1.374744, SmoothL1=0.544220, accuracy=0.880278
[Epoch 230][Batch 299], Speed: 34.617688 samples/sec, CrossEntropy=1.367047, SmoothL1=0.544821, accuracy=0.880969
[Epoch 230][Batch 399], Speed: 39.264915 samples/sec, CrossEntropy=1.369385, SmoothL1=0.546628, accuracy=0.880519
[Epoch 230][Batch 499], Speed: 38.462926 samples/sec, CrossEntropy=1.367231, SmoothL1=0.545108, accuracy=0.880711
[Epoch 230] Training cost: 454.699376, CrossEntropy=1.368832, SmoothL1=0.545950, accuracy=0.880662
[Epoch 230] Validation:
aeroplane=0.821098
bicycle=0.862864
bird=0.801580
boat=0.711163
bottle=0.570406
bus=0.873033
car=0.877836
cat=0.875001
chair=0.629254
cow=0.853104
diningtable=0.743643
dog=0.849311
horse=0.875507
motorbike=0.867595
person=0.808951
pottedplant=0.529354
sheep=0.794331
sofa=0.804491
train=0.865845
tvmonitor=0.797975
mAP=0.790617
[Epoch 231][Batch 99], Speed: 37.482275 samples/sec, CrossEntropy=1.347567, SmoothL1=0.527549, accuracy=0.882525
[Epoch 231][Batch 199], Speed: 38.289787 samples/sec, CrossEntropy=1.371344, SmoothL1=0.547615, accuracy=0.880275
[Epoch 231][Batch 299], Speed: 32.606052 samples/sec, CrossEntropy=1.368550, SmoothL1=0.544729, accuracy=0.880515
[Epoch 231][Batch 399], Speed: 37.419418 samples/sec, CrossEntropy=1.370132, SmoothL1=0.546486, accuracy=0.880605
[Epoch 231][Batch 499], Speed: 39.144068 samples/sec, CrossEntropy=1.374587, SmoothL1=0.549222, accuracy=0.880327
[Epoch 231] Training cost: 455.151944, CrossEntropy=1.373030, SmoothL1=0.547860, accuracy=0.880445
[Epoch 231] Validation:
aeroplane=0.819204
bicycle=0.866311
bird=0.808644
boat=0.706173
bottle=0.575279
bus=0.872527
car=0.877801
cat=0.876700
chair=0.628354
cow=0.853407
diningtable=0.746509
dog=0.850332
horse=0.875628
motorbike=0.865594
person=0.807695
pottedplant=0.536721
sheep=0.792325
sofa=0.803245
train=0.862234
tvmonitor=0.798581
mAP=0.791163
[Epoch 232][Batch 99], Speed: 35.799155 samples/sec, CrossEntropy=1.368795, SmoothL1=0.551306, accuracy=0.880599
[Epoch 232][Batch 199], Speed: 39.618277 samples/sec, CrossEntropy=1.358212, SmoothL1=0.545417, accuracy=0.881702
[Epoch 232][Batch 299], Speed: 36.671090 samples/sec, CrossEntropy=1.368984, SmoothL1=0.548029, accuracy=0.881226
[Epoch 232][Batch 399], Speed: 36.155212 samples/sec, CrossEntropy=1.367345, SmoothL1=0.544158, accuracy=0.881512
[Epoch 232][Batch 499], Speed: 36.774046 samples/sec, CrossEntropy=1.370464, SmoothL1=0.545667, accuracy=0.881177
[Epoch 232] Training cost: 454.096886, CrossEntropy=1.372494, SmoothL1=0.546761, accuracy=0.881010
[Epoch 232] Validation:
aeroplane=0.818665
bicycle=0.866864
bird=0.811012
boat=0.702015
bottle=0.567558
bus=0.872314
car=0.878456
cat=0.874518
chair=0.628522
cow=0.853738
diningtable=0.746746
dog=0.849023
horse=0.875854
motorbike=0.863895
person=0.808590
pottedplant=0.532806
sheep=0.795042
sofa=0.802605
train=0.864125
tvmonitor=0.802117
mAP=0.790723
[Epoch 233][Batch 99], Speed: 37.830061 samples/sec, CrossEntropy=1.333051, SmoothL1=0.545496, accuracy=0.884163
[Epoch 233][Batch 199], Speed: 38.263328 samples/sec, CrossEntropy=1.348749, SmoothL1=0.549688, accuracy=0.882945
[Epoch 233][Batch 299], Speed: 37.613376 samples/sec, CrossEntropy=1.345638, SmoothL1=0.546116, accuracy=0.883028
[Epoch 233][Batch 399], Speed: 40.112925 samples/sec, CrossEntropy=1.350080, SmoothL1=0.546872, accuracy=0.882588
[Epoch 233][Batch 499], Speed: 39.308326 samples/sec, CrossEntropy=1.356214, SmoothL1=0.548144, accuracy=0.882205
[Epoch 233] Training cost: 453.732884, CrossEntropy=1.357936, SmoothL1=0.547865, accuracy=0.882096
[Epoch 233] Validation:
aeroplane=0.816717
bicycle=0.864942
bird=0.807566
boat=0.700952
bottle=0.573241
bus=0.871132
car=0.878709
cat=0.878456
chair=0.626176
cow=0.852759
diningtable=0.743497
dog=0.850347
horse=0.877106
motorbike=0.864547
person=0.808453
pottedplant=0.532111
sheep=0.800649
sofa=0.801386
train=0.870318
tvmonitor=0.799333
mAP=0.790920
[Epoch 234][Batch 99], Speed: 33.347055 samples/sec, CrossEntropy=1.374970, SmoothL1=0.553592, accuracy=0.881097
[Epoch 234][Batch 199], Speed: 36.399341 samples/sec, CrossEntropy=1.369207, SmoothL1=0.550138, accuracy=0.880834
[Epoch 234][Batch 299], Speed: 35.447122 samples/sec, CrossEntropy=1.363548, SmoothL1=0.550035, accuracy=0.881521
[Epoch 234][Batch 399], Speed: 36.376158 samples/sec, CrossEntropy=1.373868, SmoothL1=0.551248, accuracy=0.880621
[Epoch 234][Batch 499], Speed: 38.456777 samples/sec, CrossEntropy=1.370044, SmoothL1=0.548178, accuracy=0.880976
[Epoch 234] Training cost: 454.239147, CrossEntropy=1.369945, SmoothL1=0.547372, accuracy=0.880957
[Epoch 234] Validation:
aeroplane=0.821784
bicycle=0.860034
bird=0.810658
boat=0.709112
bottle=0.570656
bus=0.870597
car=0.878280
cat=0.877226
chair=0.623774
cow=0.854522
diningtable=0.741048
dog=0.850317
horse=0.875331
motorbike=0.862870
person=0.807717
pottedplant=0.537416
sheep=0.800289
sofa=0.800744
train=0.868092
tvmonitor=0.802048
mAP=0.791126
[Epoch 235][Batch 99], Speed: 38.467314 samples/sec, CrossEntropy=1.370022, SmoothL1=0.543975, accuracy=0.880337
[Epoch 235][Batch 199], Speed: 34.015521 samples/sec, CrossEntropy=1.386165, SmoothL1=0.557341, accuracy=0.879394
[Epoch 235][Batch 299], Speed: 37.134392 samples/sec, CrossEntropy=1.379847, SmoothL1=0.554465, accuracy=0.879948
[Epoch 235][Batch 399], Speed: 37.962366 samples/sec, CrossEntropy=1.377450, SmoothL1=0.550527, accuracy=0.880444
[Epoch 235][Batch 499], Speed: 38.814225 samples/sec, CrossEntropy=1.377208, SmoothL1=0.550336, accuracy=0.880313
[Epoch 235] Training cost: 454.823696, CrossEntropy=1.377687, SmoothL1=0.549276, accuracy=0.880282
[Epoch 235] Validation:
aeroplane=0.820081
bicycle=0.867757
bird=0.808941
boat=0.703739
bottle=0.565101
bus=0.873320
car=0.878836
cat=0.879549
chair=0.623417
cow=0.853956
diningtable=0.742259
dog=0.850713
horse=0.875522
motorbike=0.859268
person=0.806906
pottedplant=0.534253
sheep=0.795508
sofa=0.800080
train=0.862335
tvmonitor=0.800410
mAP=0.790098
[Epoch 236][Batch 99], Speed: 39.064169 samples/sec, CrossEntropy=1.387229, SmoothL1=0.562831, accuracy=0.880469
[Epoch 236][Batch 199], Speed: 37.804861 samples/sec, CrossEntropy=1.387528, SmoothL1=0.562677, accuracy=0.879570
[Epoch 236][Batch 299], Speed: 39.968080 samples/sec, CrossEntropy=1.380285, SmoothL1=0.558857, accuracy=0.880291
[Epoch 236][Batch 399], Speed: 36.738835 samples/sec, CrossEntropy=1.385061, SmoothL1=0.557767, accuracy=0.880050
[Epoch 236][Batch 499], Speed: 36.675669 samples/sec, CrossEntropy=1.380969, SmoothL1=0.558042, accuracy=0.880104
[Epoch 236] Training cost: 456.058193, CrossEntropy=1.376790, SmoothL1=0.555516, accuracy=0.880479
[Epoch 236] Validation:
aeroplane=0.822835
bicycle=0.867513
bird=0.810137
boat=0.702553
bottle=0.571033
bus=0.872949
car=0.878526
cat=0.878311
chair=0.625273
cow=0.855576
diningtable=0.742912
dog=0.851490
horse=0.876139
motorbike=0.865638
person=0.809369
pottedplant=0.531561
sheep=0.795672
sofa=0.804327
train=0.859946
tvmonitor=0.800938
mAP=0.791135
[Epoch 237][Batch 99], Speed: 37.502173 samples/sec, CrossEntropy=1.335988, SmoothL1=0.536801, accuracy=0.883947
[Epoch 237][Batch 199], Speed: 38.072754 samples/sec, CrossEntropy=1.358562, SmoothL1=0.551198, accuracy=0.881844
[Epoch 237][Batch 299], Speed: 38.206667 samples/sec, CrossEntropy=1.365437, SmoothL1=0.551458, accuracy=0.881031
[Epoch 237][Batch 399], Speed: 38.317619 samples/sec, CrossEntropy=1.360755, SmoothL1=0.545949, accuracy=0.881460
[Epoch 237][Batch 499], Speed: 38.068370 samples/sec, CrossEntropy=1.364220, SmoothL1=0.547083, accuracy=0.881136
[Epoch 237] Training cost: 454.147004, CrossEntropy=1.363701, SmoothL1=0.546005, accuracy=0.881089
[Epoch 237] Validation:
aeroplane=0.823153
bicycle=0.868322
bird=0.808372
boat=0.714743
bottle=0.572308
bus=0.873807
car=0.878546
cat=0.873986
chair=0.625178
cow=0.852026
diningtable=0.740023
dog=0.850758
horse=0.876337
motorbike=0.862791
person=0.808620
pottedplant=0.532229
sheep=0.798894
sofa=0.800183
train=0.868115
tvmonitor=0.799221
mAP=0.791381
[Epoch 238][Batch 99], Speed: 37.724551 samples/sec, CrossEntropy=1.355118, SmoothL1=0.547771, accuracy=0.884335
[Epoch 238][Batch 199], Speed: 36.682315 samples/sec, CrossEntropy=1.369024, SmoothL1=0.556148, accuracy=0.881743
[Epoch 238][Batch 299], Speed: 37.468787 samples/sec, CrossEntropy=1.377894, SmoothL1=0.556355, accuracy=0.880902
[Epoch 238][Batch 399], Speed: 33.376693 samples/sec, CrossEntropy=1.387604, SmoothL1=0.561049, accuracy=0.880410
[Epoch 238][Batch 499], Speed: 39.338384 samples/sec, CrossEntropy=1.380395, SmoothL1=0.556961, accuracy=0.881035
[Epoch 238] Training cost: 455.978350, CrossEntropy=1.379700, SmoothL1=0.556526, accuracy=0.881061
[Epoch 238] Validation:
aeroplane=0.823280
bicycle=0.861556
bird=0.806976
boat=0.701984
bottle=0.572489
bus=0.872796
car=0.878554
cat=0.876882
chair=0.625146
cow=0.854676
diningtable=0.741735
dog=0.851559
horse=0.876465
motorbike=0.857966
person=0.807823
pottedplant=0.536520
sheep=0.794181
sofa=0.801451
train=0.869044
tvmonitor=0.795665
mAP=0.790337
[Epoch 239][Batch 99], Speed: 38.058450 samples/sec, CrossEntropy=1.344463, SmoothL1=0.525253, accuracy=0.883837
[Epoch 239][Batch 199], Speed: 35.673519 samples/sec, CrossEntropy=1.365987, SmoothL1=0.544675, accuracy=0.881650
[Epoch 239][Batch 299], Speed: 37.433998 samples/sec, CrossEntropy=1.366012, SmoothL1=0.544598, accuracy=0.880995
[Epoch 239][Batch 399], Speed: 37.156895 samples/sec, CrossEntropy=1.374636, SmoothL1=0.546898, accuracy=0.880503
[Epoch 239][Batch 499], Speed: 36.816644 samples/sec, CrossEntropy=1.366881, SmoothL1=0.545504, accuracy=0.881097
[Epoch 239] Training cost: 453.315026, CrossEntropy=1.368017, SmoothL1=0.546021, accuracy=0.881058
[Epoch 239] Validation:
aeroplane=0.817738
bicycle=0.864307
bird=0.807568
boat=0.708749
bottle=0.571567
bus=0.872068
car=0.877931
cat=0.875802
chair=0.626215
cow=0.855408
diningtable=0.742339
dog=0.852168
horse=0.875778
motorbike=0.857631
person=0.807185
pottedplant=0.534524
sheep=0.797849
sofa=0.804839
train=0.871565
tvmonitor=0.795138
mAP=0.790818