train_fixed_beta_gamma.log

Experimental: start training from scratch with (gpu(0))
Epoch[0] Batch [20]	Speed: 164.33 samples/sec	CrossEntropy=3.613842	SmoothL1=0.942863
Epoch[0] Batch [40]	Speed: 164.65 samples/sec	CrossEntropy=2.912942	SmoothL1=0.878043
Epoch[0] Batch [60]	Speed: 164.81 samples/sec	CrossEntropy=2.208688	SmoothL1=0.830824
Epoch[0] Batch [80]	Speed: 164.35 samples/sec	CrossEntropy=1.676924	SmoothL1=0.822765
Epoch[0] Batch [100]	Speed: 164.14 samples/sec	CrossEntropy=1.464396	SmoothL1=0.777815
Epoch[0] Batch [120]	Speed: 164.35 samples/sec	CrossEntropy=1.350247	SmoothL1=0.742397
Epoch[0] Batch [140]	Speed: 167.21 samples/sec	CrossEntropy=1.343313	SmoothL1=0.770273
Epoch[0] Batch [160]	Speed: 166.53 samples/sec	CrossEntropy=1.309735	SmoothL1=0.712764
Epoch[0] Batch [180]	Speed: 165.58 samples/sec	CrossEntropy=1.296016	SmoothL1=0.724894
Epoch[0] Batch [200]	Speed: 165.78 samples/sec	CrossEntropy=1.290691	SmoothL1=0.685554
Epoch[0] Batch [220]	Speed: 165.62 samples/sec	CrossEntropy=1.286529	SmoothL1=0.688586
Epoch[0] Batch [240]	Speed: 167.35 samples/sec	CrossEntropy=1.266469	SmoothL1=0.681393
Epoch[0] Batch [260]	Speed: 166.64 samples/sec	CrossEntropy=1.270692	SmoothL1=0.712069
Epoch[0] Batch [280]	Speed: 165.42 samples/sec	CrossEntropy=1.263915	SmoothL1=0.709460
Epoch[0] Batch [300]	Speed: 166.14 samples/sec	CrossEntropy=1.272564	SmoothL1=0.677399
Epoch[0] Batch [320]	Speed: 166.65 samples/sec	CrossEntropy=1.262566	SmoothL1=0.666524
Epoch[0] Batch [340]	Speed: 167.86 samples/sec	CrossEntropy=1.261455	SmoothL1=0.657793
Epoch[0] Train-CrossEntropy=1.271930
Epoch[0] Train-SmoothL1=0.631222
Epoch[0] Time cost=107.798
Epoch[0] Validation-aeroplane=0.012851
Epoch[0] Validation-bicycle=0.000000
Epoch[0] Validation-bird=0.000000
Epoch[0] Validation-boat=0.000000
Epoch[0] Validation-bottle=0.000000
Epoch[0] Validation-bus=0.000000
Epoch[0] Validation-car=0.000127
Epoch[0] Validation-cat=0.000000
Epoch[0] Validation-chair=0.000267
Epoch[0] Validation-cow=0.000000
Epoch[0] Validation-diningtable=0.000251
Epoch[0] Validation-dog=0.000000
Epoch[0] Validation-horse=0.000000
Epoch[0] Validation-motorbike=0.000000
Epoch[0] Validation-person=0.018677
Epoch[0] Validation-pottedplant=0.000000
Epoch[0] Validation-sheep=0.000000
Epoch[0] Validation-sofa=0.000000
Epoch[0] Validation-train=0.003367
Epoch[0] Validation-tvmonitor=0.000000
Epoch[0] Validation-mAP=0.001777
Epoch[1] Batch [20]	Speed: 159.46 samples/sec	CrossEntropy=1.251035	SmoothL1=0.653011
Epoch[1] Batch [40]	Speed: 162.03 samples/sec	CrossEntropy=1.236781	SmoothL1=0.652873
Epoch[1] Batch [60]	Speed: 162.40 samples/sec	CrossEntropy=1.250472	SmoothL1=0.649106
Epoch[1] Batch [80]	Speed: 165.18 samples/sec	CrossEntropy=1.239762	SmoothL1=0.637024
Epoch[1] Batch [100]	Speed: 164.75 samples/sec	CrossEntropy=1.237577	SmoothL1=0.631475
Epoch[1] Batch [120]	Speed: 164.07 samples/sec	CrossEntropy=1.222359	SmoothL1=0.641483
Epoch[1] Batch [140]	Speed: 163.17 samples/sec	CrossEntropy=1.238338	SmoothL1=0.632247
Epoch[1] Batch [160]	Speed: 165.08 samples/sec	CrossEntropy=1.221159	SmoothL1=0.630014
Epoch[1] Batch [180]	Speed: 166.79 samples/sec	CrossEntropy=1.217473	SmoothL1=0.615258
Epoch[1] Batch [200]	Speed: 165.08 samples/sec	CrossEntropy=1.230228	SmoothL1=0.620338
Epoch[1] Batch [220]	Speed: 165.40 samples/sec	CrossEntropy=1.220887	SmoothL1=0.613921
Epoch[1] Batch [240]	Speed: 163.63 samples/sec	CrossEntropy=1.204658	SmoothL1=0.620785
Epoch[1] Batch [260]	Speed: 164.20 samples/sec	CrossEntropy=1.216629	SmoothL1=0.635121
Epoch[1] Batch [280]	Speed: 164.22 samples/sec	CrossEntropy=1.208279	SmoothL1=0.618203
Epoch[1] Batch [300]	Speed: 165.74 samples/sec	CrossEntropy=1.215950	SmoothL1=0.610126
Epoch[1] Batch [320]	Speed: 164.60 samples/sec	CrossEntropy=1.209992	SmoothL1=0.611858
Epoch[1] Batch [340]	Speed: 166.17 samples/sec	CrossEntropy=1.219099	SmoothL1=0.592690
Epoch[1] Train-CrossEntropy=1.223343
Epoch[1] Train-SmoothL1=0.600988
Epoch[1] Time cost=100.661
Epoch[1] Validation-aeroplane=0.012289
Epoch[1] Validation-bicycle=0.000000
Epoch[1] Validation-bird=0.000000
Epoch[1] Validation-boat=0.001181
Epoch[1] Validation-bottle=0.000000
Epoch[1] Validation-bus=0.000000
Epoch[1] Validation-car=0.002050
Epoch[1] Validation-cat=0.000000
Epoch[1] Validation-chair=0.000362
Epoch[1] Validation-cow=0.000000
Epoch[1] Validation-diningtable=0.000000
Epoch[1] Validation-dog=0.000000
Epoch[1] Validation-horse=0.000000
Epoch[1] Validation-motorbike=0.000000
Epoch[1] Validation-person=0.039335
Epoch[1] Validation-pottedplant=0.000000
Epoch[1] Validation-sheep=0.000000
Epoch[1] Validation-sofa=0.000000
Epoch[1] Validation-train=0.000000
Epoch[1] Validation-tvmonitor=0.000000
Epoch[1] Validation-mAP=0.002761
Epoch[2] Batch [20]	Speed: 157.96 samples/sec	CrossEntropy=1.219195	SmoothL1=0.602916
Epoch[2] Batch [40]	Speed: 164.94 samples/sec	CrossEntropy=1.212833	SmoothL1=0.618964
Epoch[2] Batch [60]	Speed: 164.94 samples/sec	CrossEntropy=1.220318	SmoothL1=0.591436
Epoch[2] Batch [80]	Speed: 163.82 samples/sec	CrossEntropy=1.207022	SmoothL1=0.609275
Epoch[2] Batch [100]	Speed: 163.22 samples/sec	CrossEntropy=1.213763	SmoothL1=0.595022
Epoch[2] Batch [120]	Speed: 163.72 samples/sec	CrossEntropy=1.194539	SmoothL1=0.598331
Epoch[2] Batch [140]	Speed: 163.66 samples/sec	CrossEntropy=1.218423	SmoothL1=0.605244
Epoch[2] Batch [160]	Speed: 163.56 samples/sec	CrossEntropy=1.201602	SmoothL1=0.588852
Epoch[2] Batch [180]	Speed: 162.61 samples/sec	CrossEntropy=1.203321	SmoothL1=0.583820
Epoch[2] Batch [200]	Speed: 162.45 samples/sec	CrossEntropy=1.214020	SmoothL1=0.569559
Epoch[2] Batch [220]	Speed: 165.36 samples/sec	CrossEntropy=1.193749	SmoothL1=0.580750
Epoch[2] Batch [240]	Speed: 163.70 samples/sec	CrossEntropy=1.192755	SmoothL1=0.584121
Epoch[2] Batch [260]	Speed: 163.32 samples/sec	CrossEntropy=1.201143	SmoothL1=0.604667
Epoch[2] Batch [280]	Speed: 158.54 samples/sec	CrossEntropy=1.195705	SmoothL1=0.608221
Epoch[2] Batch [300]	Speed: 162.51 samples/sec	CrossEntropy=1.204072	SmoothL1=0.600255
Epoch[2] Batch [320]	Speed: 163.10 samples/sec	CrossEntropy=1.200540	SmoothL1=0.573292
Epoch[2] Batch [340]	Speed: 164.62 samples/sec	CrossEntropy=1.194012	SmoothL1=0.581347
Epoch[2] Train-CrossEntropy=1.207348
Epoch[2] Train-SmoothL1=0.607681
Epoch[2] Time cost=101.415
Epoch[2] Validation-aeroplane=0.007209
Epoch[2] Validation-bicycle=0.000000
Epoch[2] Validation-bird=0.000080
Epoch[2] Validation-boat=0.000198
Epoch[2] Validation-bottle=0.000000
Epoch[2] Validation-bus=0.000000
Epoch[2] Validation-car=0.000333
Epoch[2] Validation-cat=0.000000
Epoch[2] Validation-chair=0.000474
Epoch[2] Validation-cow=0.000000
Epoch[2] Validation-diningtable=0.000000
Epoch[2] Validation-dog=0.000000
Epoch[2] Validation-horse=0.000000
Epoch[2] Validation-motorbike=0.000000
Epoch[2] Validation-person=0.119139
Epoch[2] Validation-pottedplant=0.000000
Epoch[2] Validation-sheep=0.000000
Epoch[2] Validation-sofa=0.000000
Epoch[2] Validation-train=0.005348
Epoch[2] Validation-tvmonitor=0.000000
Epoch[2] Validation-mAP=0.006639
Epoch[3] Batch [20]	Speed: 158.76 samples/sec	CrossEntropy=1.204740	SmoothL1=0.587292
Epoch[3] Batch [40]	Speed: 161.42 samples/sec	CrossEntropy=1.192584	SmoothL1=0.584130
Epoch[3] Batch [60]	Speed: 157.71 samples/sec	CrossEntropy=1.194488	SmoothL1=0.567214
Epoch[3] Batch [80]	Speed: 161.14 samples/sec	CrossEntropy=1.200652	SmoothL1=0.570575
Epoch[3] Batch [100]	Speed: 161.30 samples/sec	CrossEntropy=1.198609	SmoothL1=0.569229
Epoch[3] Batch [120]	Speed: 152.35 samples/sec	CrossEntropy=1.184392	SmoothL1=0.592144
Epoch[3] Batch [140]	Speed: 158.96 samples/sec	CrossEntropy=1.204328	SmoothL1=0.588067
Epoch[3] Batch [160]	Speed: 160.83 samples/sec	CrossEntropy=1.187880	SmoothL1=0.578573
Epoch[3] Batch [180]	Speed: 161.85 samples/sec	CrossEntropy=1.174099	SmoothL1=0.568001
Epoch[3] Batch [200]	Speed: 162.15 samples/sec	CrossEntropy=1.189446	SmoothL1=0.557282
Epoch[3] Batch [220]	Speed: 161.08 samples/sec	CrossEntropy=1.184115	SmoothL1=0.592273
Epoch[3] Batch [240]	Speed: 161.90 samples/sec	CrossEntropy=1.179195	SmoothL1=0.568223
Epoch[3] Batch [260]	Speed: 164.02 samples/sec	CrossEntropy=1.182206	SmoothL1=0.588615
Epoch[3] Batch [280]	Speed: 162.36 samples/sec	CrossEntropy=1.192247	SmoothL1=0.595410
Epoch[3] Batch [300]	Speed: 154.25 samples/sec	CrossEntropy=1.183370	SmoothL1=0.577012
Epoch[3] Batch [320]	Speed: 159.97 samples/sec	CrossEntropy=1.181326	SmoothL1=0.552838
Epoch[3] Batch [340]	Speed: 165.14 samples/sec	CrossEntropy=1.180020	SmoothL1=0.573590
Epoch[3] Train-CrossEntropy=1.181103
Epoch[3] Train-SmoothL1=0.556791
Epoch[3] Time cost=103.152
Epoch[3] Validation-aeroplane=0.015522
Epoch[3] Validation-bicycle=0.000000
Epoch[3] Validation-bird=0.000022
Epoch[3] Validation-boat=0.000476
Epoch[3] Validation-bottle=0.000000
Epoch[3] Validation-bus=0.000000
Epoch[3] Validation-car=0.006000
Epoch[3] Validation-cat=0.000000
Epoch[3] Validation-chair=0.002674
Epoch[3] Validation-cow=0.000000
Epoch[3] Validation-diningtable=0.000164
Epoch[3] Validation-dog=0.000000
Epoch[3] Validation-horse=0.000000
Epoch[3] Validation-motorbike=0.000000
Epoch[3] Validation-person=0.070194
Epoch[3] Validation-pottedplant=0.000000
Epoch[3] Validation-sheep=0.000000
Epoch[3] Validation-sofa=0.000000
Epoch[3] Validation-train=0.000000
Epoch[3] Validation-tvmonitor=0.000000
Epoch[3] Validation-mAP=0.004753
Epoch[4] Batch [20]	Speed: 155.03 samples/sec	CrossEntropy=1.185513	SmoothL1=0.576008
Epoch[4] Batch [40]	Speed: 151.28 samples/sec	CrossEntropy=1.183187	SmoothL1=0.567507
Epoch[4] Batch [60]	Speed: 162.57 samples/sec	CrossEntropy=1.188836	SmoothL1=0.575853
Epoch[4] Batch [80]	Speed: 160.75 samples/sec	CrossEntropy=1.178970	SmoothL1=0.567798
Epoch[4] Batch [100]	Speed: 162.16 samples/sec	CrossEntropy=1.188072	SmoothL1=0.564317
Epoch[4] Batch [120]	Speed: 164.51 samples/sec	CrossEntropy=1.161584	SmoothL1=0.580597
Epoch[4] Batch [140]	Speed: 159.69 samples/sec	CrossEntropy=1.202638	SmoothL1=0.583620
Epoch[4] Batch [160]	Speed: 163.68 samples/sec	CrossEntropy=1.170483	SmoothL1=0.557647
Epoch[4] Batch [180]	Speed: 164.63 samples/sec	CrossEntropy=1.167975	SmoothL1=0.557231
Epoch[4] Batch [200]	Speed: 161.77 samples/sec	CrossEntropy=1.185867	SmoothL1=0.557479
Epoch[4] Batch [220]	Speed: 162.35 samples/sec	CrossEntropy=1.173256	SmoothL1=0.568999
Epoch[4] Batch [240]	Speed: 164.39 samples/sec	CrossEntropy=1.169399	SmoothL1=0.560659
Epoch[4] Batch [260]	Speed: 162.71 samples/sec	CrossEntropy=1.169111	SmoothL1=0.582801
Epoch[4] Batch [280]	Speed: 163.20 samples/sec	CrossEntropy=1.168316	SmoothL1=0.599015
Epoch[4] Batch [300]	Speed: 162.25 samples/sec	CrossEntropy=1.194875	SmoothL1=0.563923
Epoch[4] Batch [320]	Speed: 162.84 samples/sec	CrossEntropy=1.170682	SmoothL1=0.548773
Epoch[4] Batch [340]	Speed: 166.68 samples/sec	CrossEntropy=1.185417	SmoothL1=0.547181
Epoch[4] Train-CrossEntropy=1.175804
Epoch[4] Train-SmoothL1=0.579267
Epoch[4] Time cost=102.213
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0005.params"
Epoch[4] Validation-aeroplane=0.103510
Epoch[4] Validation-bicycle=0.000000
Epoch[4] Validation-bird=0.030303
Epoch[4] Validation-boat=0.000852
Epoch[4] Validation-bottle=0.000000
Epoch[4] Validation-bus=0.000000
Epoch[4] Validation-car=0.005992
Epoch[4] Validation-cat=0.011364
Epoch[4] Validation-chair=0.001898
Epoch[4] Validation-cow=0.000000
Epoch[4] Validation-diningtable=0.002331
Epoch[4] Validation-dog=0.030303
Epoch[4] Validation-horse=0.000000
Epoch[4] Validation-motorbike=0.000000
Epoch[4] Validation-person=0.095625
Epoch[4] Validation-pottedplant=0.000000
Epoch[4] Validation-sheep=0.000000
Epoch[4] Validation-sofa=0.030303
Epoch[4] Validation-train=0.000000
Epoch[4] Validation-tvmonitor=0.000000
Epoch[4] Validation-mAP=0.015624
Epoch[5] Batch [20]	Speed: 142.94 samples/sec	CrossEntropy=1.169760	SmoothL1=0.552188
Epoch[5] Batch [40]	Speed: 154.01 samples/sec	CrossEntropy=1.178217	SmoothL1=0.564528
Epoch[5] Batch [60]	Speed: 161.84 samples/sec	CrossEntropy=1.179376	SmoothL1=0.556393
Epoch[5] Batch [80]	Speed: 163.02 samples/sec	CrossEntropy=1.155683	SmoothL1=0.558473
Epoch[5] Batch [100]	Speed: 165.66 samples/sec	CrossEntropy=1.179404	SmoothL1=0.545316
Epoch[5] Batch [120]	Speed: 162.83 samples/sec	CrossEntropy=1.153033	SmoothL1=0.566967
Epoch[5] Batch [140]	Speed: 163.75 samples/sec	CrossEntropy=1.185762	SmoothL1=0.549870
Epoch[5] Batch [160]	Speed: 157.28 samples/sec	CrossEntropy=1.172472	SmoothL1=0.548885
Epoch[5] Batch [180]	Speed: 161.53 samples/sec	CrossEntropy=1.168863	SmoothL1=0.547844
Epoch[5] Batch [200]	Speed: 162.39 samples/sec	CrossEntropy=1.178747	SmoothL1=0.543909
Epoch[5] Batch [220]	Speed: 158.99 samples/sec	CrossEntropy=1.162261	SmoothL1=0.560849
Epoch[5] Batch [240]	Speed: 158.81 samples/sec	CrossEntropy=1.157446	SmoothL1=0.581326
Epoch[5] Batch [260]	Speed: 152.74 samples/sec	CrossEntropy=1.167620	SmoothL1=0.568130
Epoch[5] Batch [280]	Speed: 159.71 samples/sec	CrossEntropy=1.166517	SmoothL1=0.560573
Epoch[5] Batch [300]	Speed: 162.61 samples/sec	CrossEntropy=1.173813	SmoothL1=0.558607
Epoch[5] Batch [320]	Speed: 158.84 samples/sec	CrossEntropy=1.163880	SmoothL1=0.534686
Epoch[5] Batch [340]	Speed: 162.26 samples/sec	CrossEntropy=1.161748	SmoothL1=0.550824
Epoch[5] Train-CrossEntropy=1.149697
Epoch[5] Train-SmoothL1=0.502145
Epoch[5] Time cost=103.617
Epoch[5] Validation-aeroplane=0.111149
Epoch[5] Validation-bicycle=0.000000
Epoch[5] Validation-bird=0.000838
Epoch[5] Validation-boat=0.000577
Epoch[5] Validation-bottle=0.000000
Epoch[5] Validation-bus=0.000000
Epoch[5] Validation-car=0.004145
Epoch[5] Validation-cat=0.006494
Epoch[5] Validation-chair=0.000824
Epoch[5] Validation-cow=0.000000
Epoch[5] Validation-diningtable=0.003687
Epoch[5] Validation-dog=0.045455
Epoch[5] Validation-horse=0.000000
Epoch[5] Validation-motorbike=0.000000
Epoch[5] Validation-person=0.066174
Epoch[5] Validation-pottedplant=0.000000
Epoch[5] Validation-sheep=0.000125
Epoch[5] Validation-sofa=0.000000
Epoch[5] Validation-train=0.006380
Epoch[5] Validation-tvmonitor=0.004603
Epoch[5] Validation-mAP=0.012523
Epoch[6] Batch [20]	Speed: 155.64 samples/sec	CrossEntropy=1.172879	SmoothL1=0.562834
Epoch[6] Batch [40]	Speed: 161.17 samples/sec	CrossEntropy=1.156627	SmoothL1=0.550237
Epoch[6] Batch [60]	Speed: 160.92 samples/sec	CrossEntropy=1.183618	SmoothL1=0.557069
Epoch[6] Batch [80]	Speed: 156.53 samples/sec	CrossEntropy=1.155439	SmoothL1=0.559868
Epoch[6] Batch [100]	Speed: 157.13 samples/sec	CrossEntropy=1.172406	SmoothL1=0.543786
Epoch[6] Batch [120]	Speed: 160.26 samples/sec	CrossEntropy=1.146048	SmoothL1=0.555535
Epoch[6] Batch [140]	Speed: 159.08 samples/sec	CrossEntropy=1.179471	SmoothL1=0.551329
Epoch[6] Batch [160]	Speed: 156.62 samples/sec	CrossEntropy=1.170781	SmoothL1=0.552509
Epoch[6] Batch [180]	Speed: 155.06 samples/sec	CrossEntropy=1.157284	SmoothL1=0.557017
Epoch[6] Batch [200]	Speed: 160.07 samples/sec	CrossEntropy=1.170443	SmoothL1=0.551510
Epoch[6] Batch [220]	Speed: 162.49 samples/sec	CrossEntropy=1.159212	SmoothL1=0.529841
Epoch[6] Batch [240]	Speed: 157.11 samples/sec	CrossEntropy=1.150945	SmoothL1=0.552380
Epoch[6] Batch [260]	Speed: 155.60 samples/sec	CrossEntropy=1.158286	SmoothL1=0.568698
Epoch[6] Batch [280]	Speed: 160.58 samples/sec	CrossEntropy=1.144494	SmoothL1=0.566133
Epoch[6] Batch [300]	Speed: 153.03 samples/sec	CrossEntropy=1.169794	SmoothL1=0.562352
Epoch[6] Batch [320]	Speed: 161.55 samples/sec	CrossEntropy=1.154899	SmoothL1=0.527439
Epoch[6] Batch [340]	Speed: 160.36 samples/sec	CrossEntropy=1.165435	SmoothL1=0.538474
Epoch[6] Train-CrossEntropy=1.148618
Epoch[6] Train-SmoothL1=0.546496
Epoch[6] Time cost=104.334
Epoch[6] Validation-aeroplane=0.131764
Epoch[6] Validation-bicycle=0.000000
Epoch[6] Validation-bird=0.004914
Epoch[6] Validation-boat=0.001166
Epoch[6] Validation-bottle=0.000000
Epoch[6] Validation-bus=0.000000
Epoch[6] Validation-car=0.040085
Epoch[6] Validation-cat=0.003171
Epoch[6] Validation-chair=0.001172
Epoch[6] Validation-cow=0.000000
Epoch[6] Validation-diningtable=0.002829
Epoch[6] Validation-dog=0.008523
Epoch[6] Validation-horse=0.000000
Epoch[6] Validation-motorbike=0.090909
Epoch[6] Validation-person=0.134059
Epoch[6] Validation-pottedplant=0.000000
Epoch[6] Validation-sheep=0.000000
Epoch[6] Validation-sofa=0.000000
Epoch[6] Validation-train=0.007905
Epoch[6] Validation-tvmonitor=0.002259
Epoch[6] Validation-mAP=0.021438
Epoch[7] Batch [20]	Speed: 154.79 samples/sec	CrossEntropy=1.158292	SmoothL1=0.553746
Epoch[7] Batch [40]	Speed: 162.83 samples/sec	CrossEntropy=1.157213	SmoothL1=0.545752
Epoch[7] Batch [60]	Speed: 160.71 samples/sec	CrossEntropy=1.163945	SmoothL1=0.529801
Epoch[7] Batch [80]	Speed: 161.88 samples/sec	CrossEntropy=1.156031	SmoothL1=0.562586
Epoch[7] Batch [100]	Speed: 163.87 samples/sec	CrossEntropy=1.155538	SmoothL1=0.525081
Epoch[7] Batch [120]	Speed: 163.69 samples/sec	CrossEntropy=1.150767	SmoothL1=0.537904
Epoch[7] Batch [140]	Speed: 162.62 samples/sec	CrossEntropy=1.167654	SmoothL1=0.556767
Epoch[7] Batch [160]	Speed: 159.35 samples/sec	CrossEntropy=1.164040	SmoothL1=0.539336
Epoch[7] Batch [180]	Speed: 160.09 samples/sec	CrossEntropy=1.153719	SmoothL1=0.551873
Epoch[7] Batch [200]	Speed: 156.70 samples/sec	CrossEntropy=1.165534	SmoothL1=0.524137
Epoch[7] Batch [220]	Speed: 159.13 samples/sec	CrossEntropy=1.148177	SmoothL1=0.529275
Epoch[7] Batch [240]	Speed: 162.32 samples/sec	CrossEntropy=1.141432	SmoothL1=0.547767
Epoch[7] Batch [260]	Speed: 159.35 samples/sec	CrossEntropy=1.161003	SmoothL1=0.550095
Epoch[7] Batch [280]	Speed: 150.62 samples/sec	CrossEntropy=1.147971	SmoothL1=0.561207
Epoch[7] Batch [300]	Speed: 162.66 samples/sec	CrossEntropy=1.158993	SmoothL1=0.546439
Epoch[7] Batch [320]	Speed: 162.46 samples/sec	CrossEntropy=1.148861	SmoothL1=0.528252
Epoch[7] Batch [340]	Speed: 165.30 samples/sec	CrossEntropy=1.152205	SmoothL1=0.547300
Epoch[7] Train-CrossEntropy=1.159768
Epoch[7] Train-SmoothL1=0.528617
Epoch[7] Time cost=103.031
Epoch[7] Validation-aeroplane=0.078960
Epoch[7] Validation-bicycle=0.000000
Epoch[7] Validation-bird=0.003030
Epoch[7] Validation-boat=0.015152
Epoch[7] Validation-bottle=0.000000
Epoch[7] Validation-bus=0.011364
Epoch[7] Validation-car=0.075554
Epoch[7] Validation-cat=0.007576
Epoch[7] Validation-chair=0.046573
Epoch[7] Validation-cow=0.000000
Epoch[7] Validation-diningtable=0.001810
Epoch[7] Validation-dog=0.072727
Epoch[7] Validation-horse=0.000000
Epoch[7] Validation-motorbike=0.000000
Epoch[7] Validation-person=0.102505
Epoch[7] Validation-pottedplant=0.000000
Epoch[7] Validation-sheep=0.000043
Epoch[7] Validation-sofa=0.000000
Epoch[7] Validation-train=0.018182
Epoch[7] Validation-tvmonitor=0.005455
Epoch[7] Validation-mAP=0.021946
Epoch[8] Batch [20]	Speed: 153.37 samples/sec	CrossEntropy=1.160906	SmoothL1=0.536859
Epoch[8] Batch [40]	Speed: 161.42 samples/sec	CrossEntropy=1.144754	SmoothL1=0.545660
Epoch[8] Batch [60]	Speed: 163.32 samples/sec	CrossEntropy=1.155796	SmoothL1=0.537852
Epoch[8] Batch [80]	Speed: 161.23 samples/sec	CrossEntropy=1.140520	SmoothL1=0.530884
Epoch[8] Batch [100]	Speed: 163.64 samples/sec	CrossEntropy=1.148014	SmoothL1=0.525059
Epoch[8] Batch [120]	Speed: 162.42 samples/sec	CrossEntropy=1.131781	SmoothL1=0.554592
Epoch[8] Batch [140]	Speed: 161.80 samples/sec	CrossEntropy=1.170733	SmoothL1=0.528471
Epoch[8] Batch [160]	Speed: 162.07 samples/sec	CrossEntropy=1.146392	SmoothL1=0.532199
Epoch[8] Batch [180]	Speed: 159.58 samples/sec	CrossEntropy=1.145754	SmoothL1=0.541915
Epoch[8] Batch [200]	Speed: 161.00 samples/sec	CrossEntropy=1.154558	SmoothL1=0.547523
Epoch[8] Batch [220]	Speed: 162.25 samples/sec	CrossEntropy=1.147029	SmoothL1=0.539445
Epoch[8] Batch [240]	Speed: 163.52 samples/sec	CrossEntropy=1.132519	SmoothL1=0.537661
Epoch[8] Batch [260]	Speed: 161.49 samples/sec	CrossEntropy=1.149180	SmoothL1=0.561280
Epoch[8] Batch [280]	Speed: 156.67 samples/sec	CrossEntropy=1.136789	SmoothL1=0.547180
Epoch[8] Batch [300]	Speed: 158.41 samples/sec	CrossEntropy=1.146537	SmoothL1=0.545484
Epoch[8] Batch [320]	Speed: 159.56 samples/sec	CrossEntropy=1.136339	SmoothL1=0.531747
Epoch[8] Batch [340]	Speed: 164.76 samples/sec	CrossEntropy=1.155338	SmoothL1=0.541778
Epoch[8] Train-CrossEntropy=1.150462
Epoch[8] Train-SmoothL1=0.554893
Epoch[8] Time cost=102.759
Epoch[8] Validation-aeroplane=0.109669
Epoch[8] Validation-bicycle=0.000000
Epoch[8] Validation-bird=0.003367
Epoch[8] Validation-boat=0.000830
Epoch[8] Validation-bottle=0.000000
Epoch[8] Validation-bus=0.003082
Epoch[8] Validation-car=0.120681
Epoch[8] Validation-cat=0.030303
Epoch[8] Validation-chair=0.003151
Epoch[8] Validation-cow=0.000000
Epoch[8] Validation-diningtable=0.009054
Epoch[8] Validation-dog=0.045455
Epoch[8] Validation-horse=0.000000
Epoch[8] Validation-motorbike=0.090909
Epoch[8] Validation-person=0.120340
Epoch[8] Validation-pottedplant=0.000000
Epoch[8] Validation-sheep=0.000033
Epoch[8] Validation-sofa=0.000000
Epoch[8] Validation-train=0.030303
Epoch[8] Validation-tvmonitor=0.005122
Epoch[8] Validation-mAP=0.028615
Epoch[9] Batch [20]	Speed: 158.36 samples/sec	CrossEntropy=1.155050	SmoothL1=0.539820
Epoch[9] Batch [40]	Speed: 157.39 samples/sec	CrossEntropy=1.147158	SmoothL1=0.529170
Epoch[9] Batch [60]	Speed: 158.09 samples/sec	CrossEntropy=1.139502	SmoothL1=0.522254
Epoch[9] Batch [80]	Speed: 160.64 samples/sec	CrossEntropy=1.141114	SmoothL1=0.556580
Epoch[9] Batch [100]	Speed: 161.46 samples/sec	CrossEntropy=1.146624	SmoothL1=0.528636
Epoch[9] Batch [120]	Speed: 155.38 samples/sec	CrossEntropy=1.130253	SmoothL1=0.548994
Epoch[9] Batch [140]	Speed: 163.46 samples/sec	CrossEntropy=1.169736	SmoothL1=0.532598
Epoch[9] Batch [160]	Speed: 158.15 samples/sec	CrossEntropy=1.144807	SmoothL1=0.514851
Epoch[9] Batch [180]	Speed: 158.64 samples/sec	CrossEntropy=1.135436	SmoothL1=0.501275
Epoch[9] Batch [200]	Speed: 159.90 samples/sec	CrossEntropy=1.148183	SmoothL1=0.517539
Epoch[9] Batch [220]	Speed: 156.59 samples/sec	CrossEntropy=1.144811	SmoothL1=0.545799
Epoch[9] Batch [240]	Speed: 159.27 samples/sec	CrossEntropy=1.123729	SmoothL1=0.529180
Epoch[9] Batch [260]	Speed: 160.24 samples/sec	CrossEntropy=1.134610	SmoothL1=0.547901
Epoch[9] Batch [280]	Speed: 159.18 samples/sec	CrossEntropy=1.126427	SmoothL1=0.543610
Epoch[9] Batch [300]	Speed: 157.24 samples/sec	CrossEntropy=1.144962	SmoothL1=0.534996
Epoch[9] Batch [320]	Speed: 156.89 samples/sec	CrossEntropy=1.133691	SmoothL1=0.510754
Epoch[9] Batch [340]	Speed: 161.65 samples/sec	CrossEntropy=1.139715	SmoothL1=0.513994
Epoch[9] Train-CrossEntropy=1.138574
Epoch[9] Train-SmoothL1=0.519071
Epoch[9] Time cost=103.994
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0010.params"
Epoch[9] Validation-aeroplane=0.008424
Epoch[9] Validation-bicycle=0.016043
Epoch[9] Validation-bird=0.002579
Epoch[9] Validation-boat=0.001058
Epoch[9] Validation-bottle=0.000000
Epoch[9] Validation-bus=0.045455
Epoch[9] Validation-car=0.109782
Epoch[9] Validation-cat=0.022727
Epoch[9] Validation-chair=0.002098
Epoch[9] Validation-cow=0.000000
Epoch[9] Validation-diningtable=0.005876
Epoch[9] Validation-dog=0.090909
Epoch[9] Validation-horse=0.036364
Epoch[9] Validation-motorbike=0.090909
Epoch[9] Validation-person=0.145871
Epoch[9] Validation-pottedplant=0.000000
Epoch[9] Validation-sheep=0.000011
Epoch[9] Validation-sofa=0.000000
Epoch[9] Validation-train=0.090909
Epoch[9] Validation-tvmonitor=0.090909
Epoch[9] Validation-mAP=0.037996
Epoch[10] Batch [20]	Speed: 150.92 samples/sec	CrossEntropy=1.145126	SmoothL1=0.537435
Epoch[10] Batch [40]	Speed: 154.67 samples/sec	CrossEntropy=1.132619	SmoothL1=0.533234
Epoch[10] Batch [60]	Speed: 161.40 samples/sec	CrossEntropy=1.146564	SmoothL1=0.513801
Epoch[10] Batch [80]	Speed: 154.53 samples/sec	CrossEntropy=1.130827	SmoothL1=0.542218
Epoch[10] Batch [100]	Speed: 157.65 samples/sec	CrossEntropy=1.141484	SmoothL1=0.526922
Epoch[10] Batch [120]	Speed: 161.90 samples/sec	CrossEntropy=1.134495	SmoothL1=0.539176
Epoch[10] Batch [140]	Speed: 158.05 samples/sec	CrossEntropy=1.152093	SmoothL1=0.519794
Epoch[10] Batch [160]	Speed: 160.32 samples/sec	CrossEntropy=1.135130	SmoothL1=0.515987
Epoch[10] Batch [180]	Speed: 154.14 samples/sec	CrossEntropy=1.136134	SmoothL1=0.510290
Epoch[10] Batch [200]	Speed: 157.22 samples/sec	CrossEntropy=1.137779	SmoothL1=0.516090
Epoch[10] Batch [220]	Speed: 154.17 samples/sec	CrossEntropy=1.116007	SmoothL1=0.511389
Epoch[10] Batch [240]	Speed: 154.64 samples/sec	CrossEntropy=1.134244	SmoothL1=0.517936
Epoch[10] Batch [260]	Speed: 156.16 samples/sec	CrossEntropy=1.128806	SmoothL1=0.537467
Epoch[10] Batch [280]	Speed: 153.39 samples/sec	CrossEntropy=1.135893	SmoothL1=0.533542
Epoch[10] Batch [300]	Speed: 159.59 samples/sec	CrossEntropy=1.140793	SmoothL1=0.540285
Epoch[10] Batch [320]	Speed: 156.79 samples/sec	CrossEntropy=1.132540	SmoothL1=0.513440
Epoch[10] Batch [340]	Speed: 161.85 samples/sec	CrossEntropy=1.137122	SmoothL1=0.512573
Epoch[10] Train-CrossEntropy=1.177295
Epoch[10] Train-SmoothL1=0.521820
Epoch[10] Time cost=105.067
Epoch[10] Validation-aeroplane=0.107930
Epoch[10] Validation-bicycle=0.045455
Epoch[10] Validation-bird=0.030303
Epoch[10] Validation-boat=0.000610
Epoch[10] Validation-bottle=0.000000
Epoch[10] Validation-bus=0.011364
Epoch[10] Validation-car=0.094663
Epoch[10] Validation-cat=0.008658
Epoch[10] Validation-chair=0.002179
Epoch[10] Validation-cow=0.000000
Epoch[10] Validation-diningtable=0.004213
Epoch[10] Validation-dog=0.023569
Epoch[10] Validation-horse=0.038961
Epoch[10] Validation-motorbike=0.114734
Epoch[10] Validation-person=0.140246
Epoch[10] Validation-pottedplant=0.000000
Epoch[10] Validation-sheep=0.000060
Epoch[10] Validation-sofa=0.000000
Epoch[10] Validation-train=0.090909
Epoch[10] Validation-tvmonitor=0.034091
Epoch[10] Validation-mAP=0.037397
Epoch[11] Batch [20]	Speed: 151.96 samples/sec	CrossEntropy=1.131679	SmoothL1=0.525978
Epoch[11] Batch [40]	Speed: 156.94 samples/sec	CrossEntropy=1.140848	SmoothL1=0.523969
Epoch[11] Batch [60]	Speed: 153.64 samples/sec	CrossEntropy=1.130877	SmoothL1=0.526901
Epoch[11] Batch [80]	Speed: 155.51 samples/sec	CrossEntropy=1.122960	SmoothL1=0.521216
Epoch[11] Batch [100]	Speed: 155.76 samples/sec	CrossEntropy=1.142975	SmoothL1=0.513922
Epoch[11] Batch [120]	Speed: 156.75 samples/sec	CrossEntropy=1.121743	SmoothL1=0.542760
Epoch[11] Batch [140]	Speed: 153.36 samples/sec	CrossEntropy=1.152941	SmoothL1=0.536383
Epoch[11] Batch [160]	Speed: 158.59 samples/sec	CrossEntropy=1.125499	SmoothL1=0.524471
Epoch[11] Batch [180]	Speed: 157.60 samples/sec	CrossEntropy=1.129639	SmoothL1=0.528529
Epoch[11] Batch [200]	Speed: 156.57 samples/sec	CrossEntropy=1.133355	SmoothL1=0.505370
Epoch[11] Batch [220]	Speed: 155.87 samples/sec	CrossEntropy=1.120501	SmoothL1=0.519957
Epoch[11] Batch [240]	Speed: 156.60 samples/sec	CrossEntropy=1.122229	SmoothL1=0.512563
Epoch[11] Batch [260]	Speed: 158.70 samples/sec	CrossEntropy=1.133444	SmoothL1=0.527436
Epoch[11] Batch [280]	Speed: 155.93 samples/sec	CrossEntropy=1.116375	SmoothL1=0.538953
Epoch[11] Batch [300]	Speed: 158.91 samples/sec	CrossEntropy=1.137420	SmoothL1=0.518544
Epoch[11] Batch [320]	Speed: 160.48 samples/sec	CrossEntropy=1.134349	SmoothL1=0.512256
Resume training with (gpu(0)) from epoch 10
Resume training with (gpu(0)) from epoch 10
Epoch[10] Batch [20]	Speed: 164.33 samples/sec	CrossEntropy=1.138287	SmoothL1=0.537025
Epoch[10] Batch [40]	Speed: 163.94 samples/sec	CrossEntropy=1.138745	SmoothL1=0.534580
Epoch[10] Batch [60]	Speed: 163.50 samples/sec	CrossEntropy=1.144348	SmoothL1=0.519704
Epoch[10] Batch [80]	Speed: 162.82 samples/sec	CrossEntropy=1.133335	SmoothL1=0.547947
Epoch[10] Batch [100]	Speed: 166.06 samples/sec	CrossEntropy=1.140353	SmoothL1=0.526063
Epoch[10] Batch [120]	Speed: 162.25 samples/sec	CrossEntropy=1.123525	SmoothL1=0.526228
Epoch[10] Batch [140]	Speed: 164.72 samples/sec	CrossEntropy=1.138554	SmoothL1=0.534518
Epoch[10] Batch [160]	Speed: 164.11 samples/sec	CrossEntropy=1.126964	SmoothL1=0.511349
Epoch[10] Batch [180]	Speed: 161.98 samples/sec	CrossEntropy=1.118660	SmoothL1=0.522596
Epoch[10] Batch [200]	Speed: 161.98 samples/sec	CrossEntropy=1.127595	SmoothL1=0.511479
Epoch[10] Batch [220]	Speed: 164.55 samples/sec	CrossEntropy=1.132199	SmoothL1=0.517260
Epoch[10] Batch [240]	Speed: 162.30 samples/sec	CrossEntropy=1.118669	SmoothL1=0.513791
Epoch[10] Batch [260]	Speed: 163.76 samples/sec	CrossEntropy=1.136297	SmoothL1=0.533913
Epoch[10] Batch [280]	Speed: 162.66 samples/sec	CrossEntropy=1.128162	SmoothL1=0.554270
Epoch[10] Batch [300]	Speed: 162.98 samples/sec	CrossEntropy=1.144785	SmoothL1=0.517655
Epoch[10] Batch [320]	Speed: 163.71 samples/sec	CrossEntropy=1.131679	SmoothL1=0.518604
Epoch[10] Batch [340]	Speed: 166.83 samples/sec	CrossEntropy=1.143274	SmoothL1=0.511453
Epoch[10] Train-CrossEntropy=1.146720
Epoch[10] Train-SmoothL1=0.493691
Epoch[10] Time cost=109.120
Epoch[10] Validation-aeroplane=0.134684
Epoch[10] Validation-bicycle=0.009828
Epoch[10] Validation-bird=0.012987
Epoch[10] Validation-boat=0.091221
Epoch[10] Validation-bottle=0.000000
Epoch[10] Validation-bus=0.013010
Epoch[10] Validation-car=0.111452
Epoch[10] Validation-cat=0.022727
Epoch[10] Validation-chair=0.003046
Epoch[10] Validation-cow=0.000000
Epoch[10] Validation-diningtable=0.004792
Epoch[10] Validation-dog=0.032727
Epoch[10] Validation-horse=0.017483
Epoch[10] Validation-motorbike=0.121212
Epoch[10] Validation-person=0.152820
Epoch[10] Validation-pottedplant=0.000000
Epoch[10] Validation-sheep=0.000134
Epoch[10] Validation-sofa=0.001699
Epoch[10] Validation-train=0.011785
Epoch[10] Validation-tvmonitor=0.014430
Epoch[10] Validation-mAP=0.037802
Epoch[11] Batch [20]	Speed: 158.06 samples/sec	CrossEntropy=1.133579	SmoothL1=0.534637
Epoch[11] Batch [40]	Speed: 161.56 samples/sec	CrossEntropy=1.128617	SmoothL1=0.521987
Epoch[11] Batch [60]	Speed: 164.62 samples/sec	CrossEntropy=1.137772	SmoothL1=0.523192
Epoch[11] Batch [80]	Speed: 163.34 samples/sec	CrossEntropy=1.129932	SmoothL1=0.521908
Epoch[11] Batch [100]	Speed: 162.50 samples/sec	CrossEntropy=1.130764	SmoothL1=0.524611
Epoch[11] Batch [120]	Speed: 163.41 samples/sec	CrossEntropy=1.115840	SmoothL1=0.528117
Epoch[11] Batch [140]	Speed: 164.30 samples/sec	CrossEntropy=1.135839	SmoothL1=0.520191
Epoch[11] Batch [160]	Speed: 163.82 samples/sec	CrossEntropy=1.127490	SmoothL1=0.519989
Epoch[11] Batch [180]	Speed: 162.79 samples/sec	CrossEntropy=1.121150	SmoothL1=0.510951
Epoch[11] Batch [200]	Speed: 164.03 samples/sec	CrossEntropy=1.131264	SmoothL1=0.517342
Epoch[11] Batch [220]	Speed: 162.23 samples/sec	CrossEntropy=1.123783	SmoothL1=0.528350
Epoch[11] Batch [240]	Speed: 163.74 samples/sec	CrossEntropy=1.107494	SmoothL1=0.524863
Epoch[11] Batch [260]	Speed: 163.25 samples/sec	CrossEntropy=1.125035	SmoothL1=0.538209
Epoch[11] Batch [280]	Speed: 164.13 samples/sec	CrossEntropy=1.120730	SmoothL1=0.525201
Epoch[11] Batch [300]	Speed: 163.24 samples/sec	CrossEntropy=1.126620	SmoothL1=0.518066
Epoch[11] Batch [320]	Speed: 162.70 samples/sec	CrossEntropy=1.114555	SmoothL1=0.521312
Epoch[11] Batch [340]	Speed: 164.95 samples/sec	CrossEntropy=1.127704	SmoothL1=0.503238
Epoch[11] Train-CrossEntropy=1.143094
Epoch[11] Train-SmoothL1=0.517749
Epoch[11] Time cost=101.369
Epoch[11] Validation-aeroplane=0.108696
Epoch[11] Validation-bicycle=0.016698
Epoch[11] Validation-bird=0.090909
Epoch[11] Validation-boat=0.002546
Epoch[11] Validation-bottle=0.000000
Epoch[11] Validation-bus=0.015385
Epoch[11] Validation-car=0.157957
Epoch[11] Validation-cat=0.008264
Epoch[11] Validation-chair=0.003550
Epoch[11] Validation-cow=0.000000
Epoch[11] Validation-diningtable=0.004112
Epoch[11] Validation-dog=0.022727
Epoch[11] Validation-horse=0.090909
Epoch[11] Validation-motorbike=0.090909
Epoch[11] Validation-person=0.162502
Epoch[11] Validation-pottedplant=0.000000
Epoch[11] Validation-sheep=0.000049
Epoch[11] Validation-sofa=0.000000
Epoch[11] Validation-train=0.025974
Epoch[11] Validation-tvmonitor=0.048241
Epoch[11] Validation-mAP=0.042471
Epoch[12] Batch [20]	Speed: 156.79 samples/sec	CrossEntropy=1.133386	SmoothL1=0.518748
Epoch[12] Batch [40]	Speed: 161.03 samples/sec	CrossEntropy=1.131990	SmoothL1=0.534549
Epoch[12] Batch [60]	Speed: 164.41 samples/sec	CrossEntropy=1.134213	SmoothL1=0.510866
Epoch[12] Batch [80]	Speed: 161.56 samples/sec	CrossEntropy=1.121887	SmoothL1=0.528633
Epoch[12] Batch [100]	Speed: 161.84 samples/sec	CrossEntropy=1.128453	SmoothL1=0.517093
Epoch[12] Batch [120]	Speed: 163.60 samples/sec	CrossEntropy=1.110226	SmoothL1=0.518172
Epoch[12] Batch [140]	Speed: 163.39 samples/sec	CrossEntropy=1.133510	SmoothL1=0.519047
Epoch[12] Batch [160]	Speed: 163.45 samples/sec	CrossEntropy=1.117618	SmoothL1=0.507503
Epoch[12] Batch [180]	Speed: 161.89 samples/sec	CrossEntropy=1.115192	SmoothL1=0.503702
Epoch[12] Batch [200]	Speed: 161.47 samples/sec	CrossEntropy=1.128869	SmoothL1=0.497786
Epoch[12] Batch [220]	Speed: 162.68 samples/sec	CrossEntropy=1.109240	SmoothL1=0.509711
Epoch[12] Batch [240]	Speed: 163.25 samples/sec	CrossEntropy=1.112959	SmoothL1=0.510210
Epoch[12] Batch [260]	Speed: 162.58 samples/sec	CrossEntropy=1.119658	SmoothL1=0.528330
Epoch[12] Batch [280]	Speed: 162.87 samples/sec	CrossEntropy=1.121015	SmoothL1=0.534224
Epoch[12] Batch [300]	Speed: 163.21 samples/sec	CrossEntropy=1.125765	SmoothL1=0.530286
Epoch[12] Batch [320]	Speed: 161.49 samples/sec	CrossEntropy=1.117745	SmoothL1=0.506926
Epoch[12] Batch [340]	Speed: 165.04 samples/sec	CrossEntropy=1.118879	SmoothL1=0.507353
Epoch[12] Train-CrossEntropy=1.134097
Epoch[12] Train-SmoothL1=0.535303
Epoch[12] Time cost=101.814
Epoch[12] Validation-aeroplane=0.108512
Epoch[12] Validation-bicycle=0.030303
Epoch[12] Validation-bird=0.022727
Epoch[12] Validation-boat=0.036565
Epoch[12] Validation-bottle=0.000000
Epoch[12] Validation-bus=0.030303
Epoch[12] Validation-car=0.113642
Epoch[12] Validation-cat=0.012539
Epoch[12] Validation-chair=0.003240
Epoch[12] Validation-cow=0.000000
Epoch[12] Validation-diningtable=0.007553
Epoch[12] Validation-dog=0.036364
Epoch[12] Validation-horse=0.068182
Epoch[12] Validation-motorbike=0.090909
Epoch[12] Validation-person=0.170791
Epoch[12] Validation-pottedplant=0.000000
Epoch[12] Validation-sheep=0.000029
Epoch[12] Validation-sofa=0.000000
Epoch[12] Validation-train=0.099622
Epoch[12] Validation-tvmonitor=0.048940
Epoch[12] Validation-mAP=0.044011
Epoch[13] Batch [20]	Speed: 156.31 samples/sec	CrossEntropy=1.124470	SmoothL1=0.524318
Epoch[13] Batch [40]	Speed: 161.03 samples/sec	CrossEntropy=1.119673	SmoothL1=0.514059
Epoch[13] Batch [60]	Speed: 164.50 samples/sec	CrossEntropy=1.111956	SmoothL1=0.493836
Epoch[13] Batch [80]	Speed: 163.94 samples/sec	CrossEntropy=1.118469	SmoothL1=0.506846
Epoch[13] Batch [100]	Speed: 163.86 samples/sec	CrossEntropy=1.123355	SmoothL1=0.506185
Epoch[13] Batch [120]	Speed: 162.98 samples/sec	CrossEntropy=1.103185	SmoothL1=0.521487
Epoch[13] Batch [140]	Speed: 164.45 samples/sec	CrossEntropy=1.125021	SmoothL1=0.525124
Epoch[13] Batch [160]	Speed: 163.45 samples/sec	CrossEntropy=1.115908	SmoothL1=0.513874
Epoch[13] Batch [180]	Speed: 162.71 samples/sec	CrossEntropy=1.101715	SmoothL1=0.506272
Epoch[13] Batch [200]	Speed: 161.31 samples/sec	CrossEntropy=1.117078	SmoothL1=0.492194
Epoch[13] Batch [220]	Speed: 161.05 samples/sec	CrossEntropy=1.103302	SmoothL1=0.520662
Epoch[13] Batch [240]	Speed: 162.38 samples/sec	CrossEntropy=1.100912	SmoothL1=0.506373
Epoch[13] Batch [260]	Speed: 161.97 samples/sec	CrossEntropy=1.108531	SmoothL1=0.521428
Epoch[13] Batch [280]	Speed: 162.96 samples/sec	CrossEntropy=1.120321	SmoothL1=0.528892
Epoch[13] Batch [300]	Speed: 163.70 samples/sec	CrossEntropy=1.111374	SmoothL1=0.509622
Epoch[13] Batch [320]	Speed: 161.74 samples/sec	CrossEntropy=1.104117	SmoothL1=0.496554
Epoch[13] Batch [340]	Speed: 165.97 samples/sec	CrossEntropy=1.106285	SmoothL1=0.508111
Epoch[13] Train-CrossEntropy=1.098850
Epoch[13] Train-SmoothL1=0.503878
Epoch[13] Time cost=101.680
Epoch[13] Validation-aeroplane=0.165160
Epoch[13] Validation-bicycle=0.101937
Epoch[13] Validation-bird=0.003209
Epoch[13] Validation-boat=0.023042
Epoch[13] Validation-bottle=0.000000
Epoch[13] Validation-bus=0.012397
Epoch[13] Validation-car=0.152010
Epoch[13] Validation-cat=0.006684
Epoch[13] Validation-chair=0.023954
Epoch[13] Validation-cow=0.000000
Epoch[13] Validation-diningtable=0.010398
Epoch[13] Validation-dog=0.041130
Epoch[13] Validation-horse=0.045455
Epoch[13] Validation-motorbike=0.115198
Epoch[13] Validation-person=0.165931
Epoch[13] Validation-pottedplant=0.000000
Epoch[13] Validation-sheep=0.000025
Epoch[13] Validation-sofa=0.045455
Epoch[13] Validation-train=0.105040
Epoch[13] Validation-tvmonitor=0.063687
Epoch[13] Validation-mAP=0.054036
Epoch[14] Batch [20]	Speed: 157.31 samples/sec	CrossEntropy=1.116949	SmoothL1=0.520469
Epoch[14] Batch [40]	Speed: 162.25 samples/sec	CrossEntropy=1.114620	SmoothL1=0.511517
Epoch[14] Batch [60]	Speed: 161.90 samples/sec	CrossEntropy=1.124074	SmoothL1=0.513983
Epoch[14] Batch [80]	Speed: 162.69 samples/sec	CrossEntropy=1.101200	SmoothL1=0.512103
Epoch[14] Batch [100]	Speed: 163.19 samples/sec	CrossEntropy=1.108841	SmoothL1=0.506264
Epoch[14] Batch [120]	Speed: 162.91 samples/sec	CrossEntropy=1.091201	SmoothL1=0.519843
Epoch[14] Batch [140]	Speed: 163.14 samples/sec	CrossEntropy=1.131072	SmoothL1=0.526915
Epoch[14] Batch [160]	Speed: 163.07 samples/sec	CrossEntropy=1.103844	SmoothL1=0.497176
Epoch[14] Batch [180]	Speed: 159.72 samples/sec	CrossEntropy=1.098350	SmoothL1=0.498964
Epoch[14] Batch [200]	Speed: 164.32 samples/sec	CrossEntropy=1.113810	SmoothL1=0.497184
Epoch[14] Batch [220]	Speed: 163.89 samples/sec	CrossEntropy=1.098213	SmoothL1=0.514340
Epoch[14] Batch [240]	Speed: 162.81 samples/sec	CrossEntropy=1.105969	SmoothL1=0.507638
Epoch[14] Batch [260]	Speed: 162.02 samples/sec	CrossEntropy=1.104626	SmoothL1=0.520047
Epoch[14] Batch [280]	Speed: 164.60 samples/sec	CrossEntropy=1.099720	SmoothL1=0.539581
Epoch[14] Batch [300]	Speed: 164.14 samples/sec	CrossEntropy=1.121741	SmoothL1=0.506721
Epoch[14] Batch [320]	Speed: 162.22 samples/sec	CrossEntropy=1.094014	SmoothL1=0.491955
Epoch[14] Batch [340]	Speed: 166.69 samples/sec	CrossEntropy=1.111139	SmoothL1=0.494981
Epoch[14] Train-CrossEntropy=1.100672
Epoch[14] Train-SmoothL1=0.518569
Epoch[14] Time cost=101.580
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0015.params"
Epoch[14] Validation-aeroplane=0.154450
Epoch[14] Validation-bicycle=0.105102
Epoch[14] Validation-bird=0.012987
Epoch[14] Validation-boat=0.030625
Epoch[14] Validation-bottle=0.000000
Epoch[14] Validation-bus=0.029965
Epoch[14] Validation-car=0.109055
Epoch[14] Validation-cat=0.018182
Epoch[14] Validation-chair=0.010660
Epoch[14] Validation-cow=0.000000
Epoch[14] Validation-diningtable=0.007559
Epoch[14] Validation-dog=0.056162
Epoch[14] Validation-horse=0.054545
Epoch[14] Validation-motorbike=0.112894
Epoch[14] Validation-person=0.173323
Epoch[14] Validation-pottedplant=0.000000
Epoch[14] Validation-sheep=0.090909
Epoch[14] Validation-sofa=0.010490
Epoch[14] Validation-train=0.060606
Epoch[14] Validation-tvmonitor=0.098785
Epoch[14] Validation-mAP=0.056815
Epoch[15] Batch [20]	Speed: 152.24 samples/sec	CrossEntropy=1.107556	SmoothL1=0.500239
Epoch[15] Batch [40]	Speed: 160.76 samples/sec	CrossEntropy=1.110142	SmoothL1=0.506524
Epoch[15] Batch [60]	Speed: 162.71 samples/sec	CrossEntropy=1.114935	SmoothL1=0.497805
Epoch[15] Batch [80]	Speed: 161.44 samples/sec	CrossEntropy=1.083102	SmoothL1=0.508464
Epoch[15] Batch [100]	Speed: 163.34 samples/sec	CrossEntropy=1.114587	SmoothL1=0.492908
Epoch[15] Batch [120]	Speed: 161.94 samples/sec	CrossEntropy=1.083707	SmoothL1=0.513087
Epoch[15] Batch [140]	Speed: 162.41 samples/sec	CrossEntropy=1.118000	SmoothL1=0.502978
Epoch[15] Batch [160]	Speed: 162.02 samples/sec	CrossEntropy=1.106182	SmoothL1=0.499597
Epoch[15] Batch [180]	Speed: 161.66 samples/sec	CrossEntropy=1.099377	SmoothL1=0.499233
Epoch[15] Batch [200]	Speed: 163.58 samples/sec	CrossEntropy=1.113228	SmoothL1=0.492096
Epoch[15] Batch [220]	Speed: 163.61 samples/sec	CrossEntropy=1.093165	SmoothL1=0.506985
Epoch[15] Batch [240]	Speed: 163.39 samples/sec	CrossEntropy=1.088892	SmoothL1=0.527288
Epoch[15] Batch [260]	Speed: 161.88 samples/sec	CrossEntropy=1.101481	SmoothL1=0.511146
Epoch[15] Batch [280]	Speed: 162.77 samples/sec	CrossEntropy=1.099991	SmoothL1=0.510262
Epoch[15] Batch [300]	Speed: 163.01 samples/sec	CrossEntropy=1.108041	SmoothL1=0.504336
Epoch[15] Batch [320]	Speed: 162.95 samples/sec	CrossEntropy=1.095627	SmoothL1=0.481699
Epoch[15] Batch [340]	Speed: 165.36 samples/sec	CrossEntropy=1.099883	SmoothL1=0.500686
Epoch[15] Train-CrossEntropy=1.091143
Epoch[15] Train-SmoothL1=0.463640
Epoch[15] Time cost=101.753
Epoch[15] Validation-aeroplane=0.054226
Epoch[15] Validation-bicycle=0.057468
Epoch[15] Validation-bird=0.020202
Epoch[15] Validation-boat=0.091193
Epoch[15] Validation-bottle=0.000000
Epoch[15] Validation-bus=0.108681
Epoch[15] Validation-car=0.138794
Epoch[15] Validation-cat=0.054427
Epoch[15] Validation-chair=0.006475
Epoch[15] Validation-cow=0.000000
Epoch[15] Validation-diningtable=0.010680
Epoch[15] Validation-dog=0.049851
Epoch[15] Validation-horse=0.090909
Epoch[15] Validation-motorbike=0.134680
Epoch[15] Validation-person=0.176264
Epoch[15] Validation-pottedplant=0.000000
Epoch[15] Validation-sheep=0.022727
Epoch[15] Validation-sofa=0.002245
Epoch[15] Validation-train=0.106061
Epoch[15] Validation-tvmonitor=0.100603
Epoch[15] Validation-mAP=0.061274
Epoch[16] Batch [20]	Speed: 157.31 samples/sec	CrossEntropy=1.110055	SmoothL1=0.516019
Epoch[16] Batch [40]	Speed: 162.34 samples/sec	CrossEntropy=1.095176	SmoothL1=0.504358
Epoch[16] Batch [60]	Speed: 162.62 samples/sec	CrossEntropy=1.125259	SmoothL1=0.512531
Epoch[16] Batch [80]	Speed: 162.42 samples/sec	CrossEntropy=1.097581	SmoothL1=0.504576
Epoch[16] Batch [100]	Speed: 164.72 samples/sec	CrossEntropy=1.109523	SmoothL1=0.495790
Epoch[16] Batch [120]	Speed: 161.68 samples/sec	CrossEntropy=1.083443	SmoothL1=0.504857
Epoch[16] Batch [140]	Speed: 161.43 samples/sec	CrossEntropy=1.108170	SmoothL1=0.498764
Epoch[16] Batch [160]	Speed: 162.36 samples/sec	CrossEntropy=1.107016	SmoothL1=0.507194
Epoch[16] Batch [180]	Speed: 163.29 samples/sec	CrossEntropy=1.095636	SmoothL1=0.506528
Epoch[16] Batch [200]	Speed: 164.46 samples/sec	CrossEntropy=1.100133	SmoothL1=0.500899
Epoch[16] Batch [220]	Speed: 162.25 samples/sec	CrossEntropy=1.093426	SmoothL1=0.483500
Epoch[16] Batch [240]	Speed: 162.96 samples/sec	CrossEntropy=1.086334	SmoothL1=0.506098
Epoch[16] Batch [260]	Speed: 161.03 samples/sec	CrossEntropy=1.089786	SmoothL1=0.513888
Epoch[16] Batch [280]	Speed: 163.26 samples/sec	CrossEntropy=1.085505	SmoothL1=0.518181
Epoch[16] Batch [300]	Speed: 165.23 samples/sec	CrossEntropy=1.108461	SmoothL1=0.512316
Epoch[16] Batch [320]	Speed: 162.63 samples/sec	CrossEntropy=1.087971	SmoothL1=0.482450
Epoch[16] Batch [340]	Speed: 165.14 samples/sec	CrossEntropy=1.102069	SmoothL1=0.486988
Epoch[16] Train-CrossEntropy=1.082370
Epoch[16] Train-SmoothL1=0.509819
Epoch[16] Time cost=101.686
Epoch[16] Validation-aeroplane=0.177330
Epoch[16] Validation-bicycle=0.056456
Epoch[16] Validation-bird=0.039773
Epoch[16] Validation-boat=0.091096
Epoch[16] Validation-bottle=0.000000
Epoch[16] Validation-bus=0.109971
Epoch[16] Validation-car=0.191520
Epoch[16] Validation-cat=0.045616
Epoch[16] Validation-chair=0.006215
Epoch[16] Validation-cow=0.090909
Epoch[16] Validation-diningtable=0.004663
Epoch[16] Validation-dog=0.072696
Epoch[16] Validation-horse=0.114570
Epoch[16] Validation-motorbike=0.160783
Epoch[16] Validation-person=0.186367
Epoch[16] Validation-pottedplant=0.000000
Epoch[16] Validation-sheep=0.090909
Epoch[16] Validation-sofa=0.016529
Epoch[16] Validation-train=0.107029
Epoch[16] Validation-tvmonitor=0.105777
Epoch[16] Validation-mAP=0.083410
Epoch[17] Batch [20]	Speed: 157.24 samples/sec	CrossEntropy=1.095544	SmoothL1=0.505862
Epoch[17] Batch [40]	Speed: 161.90 samples/sec	CrossEntropy=1.095784	SmoothL1=0.496324
Epoch[17] Batch [60]	Speed: 161.92 samples/sec	CrossEntropy=1.102815	SmoothL1=0.484596
Epoch[17] Batch [80]	Speed: 161.77 samples/sec	CrossEntropy=1.089019	SmoothL1=0.515207
Epoch[17] Batch [100]	Speed: 163.54 samples/sec	CrossEntropy=1.087802	SmoothL1=0.483617
Epoch[17] Batch [120]	Speed: 161.15 samples/sec	CrossEntropy=1.091330	SmoothL1=0.494465
Epoch[17] Batch [140]	Speed: 161.62 samples/sec	CrossEntropy=1.102982	SmoothL1=0.510507
Epoch[17] Batch [160]	Speed: 162.23 samples/sec	CrossEntropy=1.095848	SmoothL1=0.493935
Epoch[17] Batch [180]	Speed: 161.92 samples/sec	CrossEntropy=1.090696	SmoothL1=0.502378
Epoch[17] Batch [200]	Speed: 162.55 samples/sec	CrossEntropy=1.100491	SmoothL1=0.483464
Epoch[17] Batch [220]	Speed: 163.25 samples/sec	CrossEntropy=1.083808	SmoothL1=0.485422
Epoch[17] Batch [240]	Speed: 163.34 samples/sec	CrossEntropy=1.078057	SmoothL1=0.506312
Epoch[17] Batch [260]	Speed: 161.94 samples/sec	CrossEntropy=1.099036	SmoothL1=0.498776
Epoch[17] Batch [280]	Speed: 161.45 samples/sec	CrossEntropy=1.082117	SmoothL1=0.515630
Epoch[17] Batch [300]	Speed: 161.09 samples/sec	CrossEntropy=1.093861	SmoothL1=0.502621
Epoch[17] Batch [320]	Speed: 163.19 samples/sec	CrossEntropy=1.083627	SmoothL1=0.485276
Epoch[17] Batch [340]	Speed: 165.85 samples/sec	CrossEntropy=1.088154	SmoothL1=0.499401
Epoch[17] Train-CrossEntropy=1.085257
Epoch[17] Train-SmoothL1=0.496363
Epoch[17] Time cost=101.970
Epoch[17] Validation-aeroplane=0.163718
Epoch[17] Validation-bicycle=0.041079
Epoch[17] Validation-bird=0.016529
Epoch[17] Validation-boat=0.003727
Epoch[17] Validation-bottle=0.000000
Epoch[17] Validation-bus=0.120835
Epoch[17] Validation-car=0.163335
Epoch[17] Validation-cat=0.041942
Epoch[17] Validation-chair=0.048000
Epoch[17] Validation-cow=0.004545
Epoch[17] Validation-diningtable=0.010931
Epoch[17] Validation-dog=0.054454
Epoch[17] Validation-horse=0.072475
Epoch[17] Validation-motorbike=0.190112
Epoch[17] Validation-person=0.187472
Epoch[17] Validation-pottedplant=0.001245
Epoch[17] Validation-sheep=0.000144
Epoch[17] Validation-sofa=0.007576
Epoch[17] Validation-train=0.112362
Epoch[17] Validation-tvmonitor=0.102313
Epoch[17] Validation-mAP=0.067140
Epoch[18] Batch [20]	Speed: 158.02 samples/sec	CrossEntropy=1.100799	SmoothL1=0.492313
Epoch[18] Batch [40]	Speed: 161.41 samples/sec	CrossEntropy=1.079788	SmoothL1=0.500014
Epoch[18] Batch [60]	Speed: 162.39 samples/sec	CrossEntropy=1.098547	SmoothL1=0.495687
Epoch[18] Batch [80]	Speed: 161.13 samples/sec	CrossEntropy=1.076457	SmoothL1=0.489519
Epoch[18] Batch [100]	Speed: 162.15 samples/sec	CrossEntropy=1.081606	SmoothL1=0.487944
Epoch[18] Batch [120]	Speed: 162.02 samples/sec	CrossEntropy=1.069600	SmoothL1=0.511736
Epoch[18] Batch [140]	Speed: 163.73 samples/sec	CrossEntropy=1.104621	SmoothL1=0.487358
Epoch[18] Batch [160]	Speed: 163.25 samples/sec	CrossEntropy=1.078692	SmoothL1=0.490281
Epoch[18] Batch [180]	Speed: 163.09 samples/sec	CrossEntropy=1.078267	SmoothL1=0.496999
Epoch[18] Batch [200]	Speed: 162.40 samples/sec	CrossEntropy=1.090306	SmoothL1=0.498625
Epoch[18] Batch [220]	Speed: 160.78 samples/sec	CrossEntropy=1.075196	SmoothL1=0.490998
Epoch[18] Batch [240]	Speed: 162.52 samples/sec	CrossEntropy=1.067314	SmoothL1=0.496347
Epoch[18] Batch [260]	Speed: 162.06 samples/sec	CrossEntropy=1.092104	SmoothL1=0.512971
Epoch[18] Batch [280]	Speed: 159.59 samples/sec	CrossEntropy=1.072381	SmoothL1=0.505674
Epoch[18] Batch [300]	Speed: 163.00 samples/sec	CrossEntropy=1.078680	SmoothL1=0.503462
Epoch[18] Batch [320]	Speed: 164.64 samples/sec	CrossEntropy=1.068340	SmoothL1=0.491953
Epoch[18] Batch [340]	Speed: 166.29 samples/sec	CrossEntropy=1.095526	SmoothL1=0.501362
Epoch[18] Train-CrossEntropy=1.080009
Epoch[18] Train-SmoothL1=0.500651
Epoch[18] Time cost=101.887
Epoch[18] Validation-aeroplane=0.155980
Epoch[18] Validation-bicycle=0.048880
Epoch[18] Validation-bird=0.030768
Epoch[18] Validation-boat=0.091235
Epoch[18] Validation-bottle=0.000000
Epoch[18] Validation-bus=0.136430
Epoch[18] Validation-car=0.173305
Epoch[18] Validation-cat=0.072045
Epoch[18] Validation-chair=0.093685
Epoch[18] Validation-cow=0.012987
Epoch[18] Validation-diningtable=0.021695
Epoch[18] Validation-dog=0.072923
Epoch[18] Validation-horse=0.089699
Epoch[18] Validation-motorbike=0.176265
Epoch[18] Validation-person=0.188478
Epoch[18] Validation-pottedplant=0.001985
Epoch[18] Validation-sheep=0.000277
Epoch[18] Validation-sofa=0.015152
Epoch[18] Validation-train=0.112007
Epoch[18] Validation-tvmonitor=0.106430
Epoch[18] Validation-mAP=0.080011
Epoch[19] Batch [20]	Speed: 157.05 samples/sec	CrossEntropy=1.090519	SmoothL1=0.497713
Epoch[19] Batch [40]	Speed: 162.69 samples/sec	CrossEntropy=1.080161	SmoothL1=0.484582
Epoch[19] Batch [60]	Speed: 164.23 samples/sec	CrossEntropy=1.078314	SmoothL1=0.482263
Epoch[19] Batch [80]	Speed: 162.69 samples/sec	CrossEntropy=1.072510	SmoothL1=0.512875
Epoch[19] Batch [100]	Speed: 163.34 samples/sec	CrossEntropy=1.085619	SmoothL1=0.490688
Epoch[19] Batch [120]	Speed: 163.43 samples/sec	CrossEntropy=1.070442	SmoothL1=0.509110
Epoch[19] Batch [140]	Speed: 163.03 samples/sec	CrossEntropy=1.098993	SmoothL1=0.492329
Epoch[19] Batch [160]	Speed: 163.14 samples/sec	CrossEntropy=1.074954	SmoothL1=0.479125
Epoch[19] Batch [180]	Speed: 164.26 samples/sec	CrossEntropy=1.065208	SmoothL1=0.463082
Epoch[19] Batch [200]	Speed: 161.87 samples/sec	CrossEntropy=1.085244	SmoothL1=0.481205
Epoch[19] Batch [220]	Speed: 162.17 samples/sec	CrossEntropy=1.075764	SmoothL1=0.508929
Epoch[19] Batch [240]	Speed: 161.95 samples/sec	CrossEntropy=1.063542	SmoothL1=0.487063
Epoch[19] Batch [260]	Speed: 162.50 samples/sec	CrossEntropy=1.072928	SmoothL1=0.505795
Epoch[19] Batch [280]	Speed: 160.93 samples/sec	CrossEntropy=1.067194	SmoothL1=0.504489
Epoch[19] Batch [300]	Speed: 161.41 samples/sec	CrossEntropy=1.078260	SmoothL1=0.500316
Epoch[19] Batch [320]	Speed: 160.55 samples/sec	CrossEntropy=1.066569	SmoothL1=0.474621
Epoch[19] Batch [340]	Speed: 166.02 samples/sec	CrossEntropy=1.078551	SmoothL1=0.479006
Epoch[19] Train-CrossEntropy=1.078377
Epoch[19] Train-SmoothL1=0.483542
Epoch[19] Time cost=101.819
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0020.params"
Epoch[19] Validation-aeroplane=0.024650
Epoch[19] Validation-bicycle=0.055303
Epoch[19] Validation-bird=0.030303
Epoch[19] Validation-boat=0.031049
Epoch[19] Validation-bottle=0.000000
Epoch[19] Validation-bus=0.139914
Epoch[19] Validation-car=0.199566
Epoch[19] Validation-cat=0.116216
Epoch[19] Validation-chair=0.093054
Epoch[19] Validation-cow=0.018182
Epoch[19] Validation-diningtable=0.029381
Epoch[19] Validation-dog=0.078442
Epoch[19] Validation-horse=0.113054
Epoch[19] Validation-motorbike=0.175398
Epoch[19] Validation-person=0.203698
Epoch[19] Validation-pottedplant=0.030303
Epoch[19] Validation-sheep=0.001473
Epoch[19] Validation-sofa=0.018182
Epoch[19] Validation-train=0.113417
Epoch[19] Validation-tvmonitor=0.114611
Epoch[19] Validation-mAP=0.079310
Epoch[20] Batch [20]	Speed: 154.71 samples/sec	CrossEntropy=1.087182	SmoothL1=0.502000
Epoch[20] Batch [40]	Speed: 162.26 samples/sec	CrossEntropy=1.071450	SmoothL1=0.493363
Epoch[20] Batch [60]	Speed: 163.53 samples/sec	CrossEntropy=1.086795	SmoothL1=0.476771
Epoch[20] Batch [80]	Speed: 162.72 samples/sec	CrossEntropy=1.066373	SmoothL1=0.502668
Epoch[20] Batch [100]	Speed: 164.77 samples/sec	CrossEntropy=1.075652	SmoothL1=0.488026
Epoch[20] Batch [120]	Speed: 161.26 samples/sec	CrossEntropy=1.077996	SmoothL1=0.502859
Epoch[20] Batch [140]	Speed: 159.75 samples/sec	CrossEntropy=1.087408	SmoothL1=0.478844
Epoch[20] Batch [160]	Speed: 162.14 samples/sec	CrossEntropy=1.073167	SmoothL1=0.487065
Epoch[20] Batch [180]	Speed: 162.46 samples/sec	CrossEntropy=1.070612	SmoothL1=0.479095
Epoch[20] Batch [200]	Speed: 164.31 samples/sec	CrossEntropy=1.073674	SmoothL1=0.480437
Epoch[20] Batch [220]	Speed: 162.58 samples/sec	CrossEntropy=1.055672	SmoothL1=0.470778
Epoch[20] Batch [240]	Speed: 163.24 samples/sec	CrossEntropy=1.074550	SmoothL1=0.481411
Epoch[20] Batch [260]	Speed: 162.63 samples/sec	CrossEntropy=1.069600	SmoothL1=0.497339
Epoch[20] Batch [280]	Speed: 162.72 samples/sec	CrossEntropy=1.078747	SmoothL1=0.500351
Epoch[20] Batch [300]	Speed: 163.06 samples/sec	CrossEntropy=1.078283	SmoothL1=0.502176
Epoch[20] Batch [320]	Speed: 162.68 samples/sec	CrossEntropy=1.068214	SmoothL1=0.482444
Epoch[20] Batch [340]	Speed: 166.21 samples/sec	CrossEntropy=1.073222	SmoothL1=0.472452
Epoch[20] Train-CrossEntropy=1.104074
Epoch[20] Train-SmoothL1=0.489720
Epoch[20] Time cost=101.512
Epoch[20] Validation-aeroplane=0.139721
Epoch[20] Validation-bicycle=0.109569
Epoch[20] Validation-bird=0.046078
Epoch[20] Validation-boat=0.007470
Epoch[20] Validation-bottle=0.000000
Epoch[20] Validation-bus=0.127482
Epoch[20] Validation-car=0.223428
Epoch[20] Validation-cat=0.124040
Epoch[20] Validation-chair=0.032464
Epoch[20] Validation-cow=0.012987
Epoch[20] Validation-diningtable=0.013778
Epoch[20] Validation-dog=0.122340
Epoch[20] Validation-horse=0.109569
Epoch[20] Validation-motorbike=0.205382
Epoch[20] Validation-person=0.210655
Epoch[20] Validation-pottedplant=0.011364
Epoch[20] Validation-sheep=0.003829
Epoch[20] Validation-sofa=0.030303
Epoch[20] Validation-train=0.121243
Epoch[20] Validation-tvmonitor=0.123635
Epoch[20] Validation-mAP=0.088767
Epoch[21] Batch [20]	Speed: 154.35 samples/sec	CrossEntropy=1.071563	SmoothL1=0.489357
Epoch[21] Batch [40]	Speed: 161.30 samples/sec	CrossEntropy=1.079453	SmoothL1=0.487977
Epoch[21] Batch [60]	Speed: 162.98 samples/sec	CrossEntropy=1.071060	SmoothL1=0.495599
Epoch[21] Batch [80]	Speed: 161.96 samples/sec	CrossEntropy=1.061233	SmoothL1=0.489741
Epoch[21] Batch [100]	Speed: 162.64 samples/sec	CrossEntropy=1.075255	SmoothL1=0.479118
Epoch[21] Batch [120]	Speed: 163.55 samples/sec	CrossEntropy=1.055909	SmoothL1=0.504422
Epoch[21] Batch [140]	Speed: 163.30 samples/sec	CrossEntropy=1.081591	SmoothL1=0.501322
Epoch[21] Batch [160]	Speed: 163.90 samples/sec	CrossEntropy=1.060824	SmoothL1=0.492074
Epoch[21] Batch [180]	Speed: 163.68 samples/sec	CrossEntropy=1.064457	SmoothL1=0.491348
Epoch[21] Batch [200]	Speed: 162.94 samples/sec	CrossEntropy=1.067961	SmoothL1=0.472489
Epoch[21] Batch [220]	Speed: 162.48 samples/sec	CrossEntropy=1.060212	SmoothL1=0.482561
Epoch[21] Batch [240]	Speed: 160.47 samples/sec	CrossEntropy=1.061880	SmoothL1=0.478410
Epoch[21] Batch [260]	Speed: 163.35 samples/sec	CrossEntropy=1.067639	SmoothL1=0.493195
Epoch[21] Batch [280]	Speed: 163.08 samples/sec	CrossEntropy=1.053390	SmoothL1=0.506399
Epoch[21] Batch [300]	Speed: 162.63 samples/sec	CrossEntropy=1.069514	SmoothL1=0.489337
Epoch[21] Batch [320]	Speed: 161.49 samples/sec	CrossEntropy=1.072114	SmoothL1=0.478547
Epoch[21] Batch [340]	Speed: 164.51 samples/sec	CrossEntropy=1.061360	SmoothL1=0.484184
Epoch[21] Train-CrossEntropy=1.073574
Epoch[21] Train-SmoothL1=0.525378
Epoch[21] Time cost=101.927
Epoch[21] Validation-aeroplane=0.198383
Epoch[21] Validation-bicycle=0.069144
Epoch[21] Validation-bird=0.002536
Epoch[21] Validation-boat=0.003720
Epoch[21] Validation-bottle=0.000000
Epoch[21] Validation-bus=0.160616
Epoch[21] Validation-car=0.255859
Epoch[21] Validation-cat=0.063346
Epoch[21] Validation-chair=0.027742
Epoch[21] Validation-cow=0.036364
Epoch[21] Validation-diningtable=0.006842
Epoch[21] Validation-dog=0.091569
Epoch[21] Validation-horse=0.097639
Epoch[21] Validation-motorbike=0.177540
Epoch[21] Validation-person=0.214176
Epoch[21] Validation-pottedplant=0.015152
Epoch[21] Validation-sheep=0.000403
Epoch[21] Validation-sofa=0.090909
Epoch[21] Validation-train=0.131071
Epoch[21] Validation-tvmonitor=0.126787
Epoch[21] Validation-mAP=0.088490
Epoch[22] Batch [20]	Speed: 157.99 samples/sec	CrossEntropy=1.083060	SmoothL1=0.493067
Epoch[22] Batch [40]	Speed: 162.01 samples/sec	CrossEntropy=1.058930	SmoothL1=0.486601
Epoch[22] Batch [60]	Speed: 163.55 samples/sec	CrossEntropy=1.059422	SmoothL1=0.481110
Epoch[22] Batch [80]	Speed: 163.40 samples/sec	CrossEntropy=1.052635	SmoothL1=0.483921
Epoch[22] Batch [100]	Speed: 164.48 samples/sec	CrossEntropy=1.061270	SmoothL1=0.487094
Epoch[22] Batch [120]	Speed: 163.38 samples/sec	CrossEntropy=1.057023	SmoothL1=0.492747
Epoch[22] Batch [140]	Speed: 163.90 samples/sec	CrossEntropy=1.066100	SmoothL1=0.478842
Epoch[22] Batch [160]	Speed: 162.35 samples/sec	CrossEntropy=1.063429	SmoothL1=0.486648
Epoch[22] Batch [180]	Speed: 160.68 samples/sec	CrossEntropy=1.050748	SmoothL1=0.475323
Epoch[22] Batch [200]	Speed: 161.57 samples/sec	CrossEntropy=1.062227	SmoothL1=0.459349
Epoch[22] Batch [220]	Speed: 163.13 samples/sec	CrossEntropy=1.052180	SmoothL1=0.475441
Epoch[22] Batch [240]	Speed: 162.93 samples/sec	CrossEntropy=1.052343	SmoothL1=0.486871
Epoch[22] Batch [260]	Speed: 162.30 samples/sec	CrossEntropy=1.049464	SmoothL1=0.490207
Epoch[22] Batch [280]	Speed: 162.29 samples/sec	CrossEntropy=1.058578	SmoothL1=0.484446
Epoch[22] Batch [300]	Speed: 163.80 samples/sec	CrossEntropy=1.060104	SmoothL1=0.487550
Epoch[22] Batch [320]	Speed: 161.64 samples/sec	CrossEntropy=1.054278	SmoothL1=0.475126
Epoch[22] Batch [340]	Speed: 164.99 samples/sec	CrossEntropy=1.053184	SmoothL1=0.474289
Epoch[22] Train-CrossEntropy=1.064404
Epoch[22] Train-SmoothL1=0.485568
Epoch[22] Time cost=101.672
Epoch[22] Validation-aeroplane=0.209250
Epoch[22] Validation-bicycle=0.109182
Epoch[22] Validation-bird=0.061550
Epoch[22] Validation-boat=0.046537
Epoch[22] Validation-bottle=0.000000
Epoch[22] Validation-bus=0.114070
Epoch[22] Validation-car=0.243913
Epoch[22] Validation-cat=0.106631
Epoch[22] Validation-chair=0.027922
Epoch[22] Validation-cow=0.012987
Epoch[22] Validation-diningtable=0.011115
Epoch[22] Validation-dog=0.102967
Epoch[22] Validation-horse=0.114865
Epoch[22] Validation-motorbike=0.197396
Epoch[22] Validation-person=0.196936
Epoch[22] Validation-pottedplant=0.004821
Epoch[22] Validation-sheep=0.061014
Epoch[22] Validation-sofa=0.010188
Epoch[22] Validation-train=0.108604
Epoch[22] Validation-tvmonitor=0.131905
Epoch[22] Validation-mAP=0.093593
Epoch[23] Batch [20]	Speed: 154.64 samples/sec	CrossEntropy=1.065626	SmoothL1=0.482189
Epoch[23] Batch [40]	Speed: 160.66 samples/sec	CrossEntropy=1.053290	SmoothL1=0.479953
Epoch[23] Batch [60]	Speed: 163.04 samples/sec	CrossEntropy=1.070531	SmoothL1=0.468658
Epoch[23] Batch [80]	Speed: 163.15 samples/sec	CrossEntropy=1.050423	SmoothL1=0.475921
Epoch[23] Batch [100]	Speed: 162.14 samples/sec	CrossEntropy=1.048992	SmoothL1=0.475325
Epoch[23] Batch [120]	Speed: 161.57 samples/sec	CrossEntropy=1.050282	SmoothL1=0.477946
Epoch[23] Batch [140]	Speed: 162.32 samples/sec	CrossEntropy=1.065854	SmoothL1=0.495748
Epoch[23] Batch [160]	Speed: 162.31 samples/sec	CrossEntropy=1.049706	SmoothL1=0.480441
Epoch[23] Batch [180]	Speed: 161.63 samples/sec	CrossEntropy=1.052424	SmoothL1=0.490969
Epoch[23] Batch [200]	Speed: 161.46 samples/sec	CrossEntropy=1.056195	SmoothL1=0.480012
Epoch[23] Batch [220]	Speed: 164.60 samples/sec	CrossEntropy=1.048586	SmoothL1=0.470590
Epoch[23] Batch [240]	Speed: 162.60 samples/sec	CrossEntropy=1.051151	SmoothL1=0.469356
Epoch[23] Batch [260]	Speed: 161.40 samples/sec	CrossEntropy=1.060328	SmoothL1=0.502005
Epoch[23] Batch [280]	Speed: 162.18 samples/sec	CrossEntropy=1.038014	SmoothL1=0.501511
Epoch[23] Batch [300]	Speed: 161.30 samples/sec	CrossEntropy=1.054808	SmoothL1=0.480049
Epoch[23] Batch [320]	Speed: 163.99 samples/sec	CrossEntropy=1.047758	SmoothL1=0.474398
Epoch[23] Batch [340]	Speed: 165.12 samples/sec	CrossEntropy=1.045762	SmoothL1=0.493874
Epoch[23] Train-CrossEntropy=1.051675
Epoch[23] Train-SmoothL1=0.463538
Epoch[23] Time cost=102.055
Epoch[23] Validation-aeroplane=0.172959
Epoch[23] Validation-bicycle=0.087796
Epoch[23] Validation-bird=0.061338
Epoch[23] Validation-boat=0.091853
Epoch[23] Validation-bottle=0.000000
Epoch[23] Validation-bus=0.132301
Epoch[23] Validation-car=0.215175
Epoch[23] Validation-cat=0.134863
Epoch[23] Validation-chair=0.020802
Epoch[23] Validation-cow=0.030303
Epoch[23] Validation-diningtable=0.018531
Epoch[23] Validation-dog=0.085914
Epoch[23] Validation-horse=0.132007
Epoch[23] Validation-motorbike=0.167685
Epoch[23] Validation-person=0.208263
Epoch[23] Validation-pottedplant=0.002424
Epoch[23] Validation-sheep=0.001027
Epoch[23] Validation-sofa=0.026727
Epoch[23] Validation-train=0.074522
Epoch[23] Validation-tvmonitor=0.129143
Epoch[23] Validation-mAP=0.089682
Epoch[24] Batch [20]	Speed: 156.20 samples/sec	CrossEntropy=1.052748	SmoothL1=0.489137
Epoch[24] Batch [40]	Speed: 162.29 samples/sec	CrossEntropy=1.042899	SmoothL1=0.477012
Epoch[24] Batch [60]	Speed: 163.19 samples/sec	CrossEntropy=1.065359	SmoothL1=0.473287
Epoch[24] Batch [80]	Speed: 163.57 samples/sec	CrossEntropy=1.051883	SmoothL1=0.482055
Epoch[24] Batch [100]	Speed: 164.60 samples/sec	CrossEntropy=1.047464	SmoothL1=0.475027
Epoch[24] Batch [120]	Speed: 160.50 samples/sec	CrossEntropy=1.033491	SmoothL1=0.496961
Epoch[24] Batch [140]	Speed: 162.75 samples/sec	CrossEntropy=1.052632	SmoothL1=0.484847
Epoch[24] Batch [160]	Speed: 163.31 samples/sec	CrossEntropy=1.033548	SmoothL1=0.467534
Epoch[24] Batch [180]	Speed: 162.28 samples/sec	CrossEntropy=1.050753	SmoothL1=0.467642
Epoch[24] Batch [200]	Speed: 164.65 samples/sec	CrossEntropy=1.046895	SmoothL1=0.483624
Epoch[24] Batch [220]	Speed: 162.54 samples/sec	CrossEntropy=1.039685	SmoothL1=0.480457
Epoch[24] Batch [240]	Speed: 161.73 samples/sec	CrossEntropy=1.052339	SmoothL1=0.478903
Epoch[24] Batch [260]	Speed: 160.76 samples/sec	CrossEntropy=1.046434	SmoothL1=0.485112
Epoch[24] Batch [280]	Speed: 163.29 samples/sec	CrossEntropy=1.030475	SmoothL1=0.484779
Epoch[24] Batch [300]	Speed: 161.96 samples/sec	CrossEntropy=1.046735	SmoothL1=0.471284
Epoch[24] Batch [320]	Speed: 160.14 samples/sec	CrossEntropy=1.040833	SmoothL1=0.477470
Epoch[24] Batch [340]	Speed: 166.57 samples/sec	CrossEntropy=1.039179	SmoothL1=0.475432
Epoch[24] Train-CrossEntropy=1.052221
Epoch[24] Train-SmoothL1=0.494238
Epoch[24] Time cost=101.831
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0025.params"
Epoch[24] Validation-aeroplane=0.173921
Epoch[24] Validation-bicycle=0.115889
Epoch[24] Validation-bird=0.023523
Epoch[24] Validation-boat=0.091461
Epoch[24] Validation-bottle=0.002841
Epoch[24] Validation-bus=0.149910
Epoch[24] Validation-car=0.237722
Epoch[24] Validation-cat=0.162507
Epoch[24] Validation-chair=0.015013
Epoch[24] Validation-cow=0.024242
Epoch[24] Validation-diningtable=0.056244
Epoch[24] Validation-dog=0.110945
Epoch[24] Validation-horse=0.114570
Epoch[24] Validation-motorbike=0.202763
Epoch[24] Validation-person=0.219577
Epoch[24] Validation-pottedplant=0.022727
Epoch[24] Validation-sheep=0.014041
Epoch[24] Validation-sofa=0.033713
Epoch[24] Validation-train=0.123424
Epoch[24] Validation-tvmonitor=0.137314
Epoch[24] Validation-mAP=0.101617
Epoch[25] Batch [20]	Speed: 157.43 samples/sec	CrossEntropy=1.053099	SmoothL1=0.482694
Epoch[25] Batch [40]	Speed: 163.27 samples/sec	CrossEntropy=1.043768	SmoothL1=0.478102
Epoch[25] Batch [60]	Speed: 162.48 samples/sec	CrossEntropy=1.056514	SmoothL1=0.462570
Epoch[25] Batch [80]	Speed: 164.00 samples/sec	CrossEntropy=1.037270	SmoothL1=0.486168
Epoch[25] Batch [100]	Speed: 163.85 samples/sec	CrossEntropy=1.044660	SmoothL1=0.466801
Epoch[25] Batch [120]	Speed: 162.44 samples/sec	CrossEntropy=1.025859	SmoothL1=0.479049
Epoch[25] Batch [140]	Speed: 161.74 samples/sec	CrossEntropy=1.047863	SmoothL1=0.465268
Epoch[25] Batch [160]	Speed: 163.72 samples/sec	CrossEntropy=1.038824	SmoothL1=0.480508
Epoch[25] Batch [180]	Speed: 160.90 samples/sec	CrossEntropy=1.041669	SmoothL1=0.471958
Epoch[25] Batch [200]	Speed: 160.51 samples/sec	CrossEntropy=1.049685	SmoothL1=0.469854
Epoch[25] Batch [220]	Speed: 162.21 samples/sec	CrossEntropy=1.035790	SmoothL1=0.450543
Epoch[25] Batch [240]	Speed: 160.07 samples/sec	CrossEntropy=1.049004	SmoothL1=0.484343
Epoch[25] Batch [260]	Speed: 163.22 samples/sec	CrossEntropy=1.034267	SmoothL1=0.488103
Epoch[25] Batch [280]	Speed: 160.99 samples/sec	CrossEntropy=1.031804	SmoothL1=0.483126
Epoch[25] Batch [300]	Speed: 161.81 samples/sec	CrossEntropy=1.037176	SmoothL1=0.492893
Epoch[25] Batch [320]	Speed: 164.28 samples/sec	CrossEntropy=1.030911	SmoothL1=0.468037
Epoch[25] Batch [340]	Speed: 167.44 samples/sec	CrossEntropy=1.055022	SmoothL1=0.490960
Epoch[25] Train-CrossEntropy=1.052548
Epoch[25] Train-SmoothL1=0.462552
Epoch[25] Time cost=101.538
Epoch[25] Validation-aeroplane=0.223171
Epoch[25] Validation-bicycle=0.088072
Epoch[25] Validation-bird=0.091764
Epoch[25] Validation-boat=0.018943
Epoch[25] Validation-bottle=0.000000
Epoch[25] Validation-bus=0.178179
Epoch[25] Validation-car=0.264517
Epoch[25] Validation-cat=0.172056
Epoch[25] Validation-chair=0.098013
Epoch[25] Validation-cow=0.034091
Epoch[25] Validation-diningtable=0.023282
Epoch[25] Validation-dog=0.104138
Epoch[25] Validation-horse=0.133035
Epoch[25] Validation-motorbike=0.215125
Epoch[25] Validation-person=0.213434
Epoch[25] Validation-pottedplant=0.036364
Epoch[25] Validation-sheep=0.045992
Epoch[25] Validation-sofa=0.040210
Epoch[25] Validation-train=0.173345
Epoch[25] Validation-tvmonitor=0.139310
Epoch[25] Validation-mAP=0.114652
Epoch[26] Batch [20]	Speed: 155.52 samples/sec	CrossEntropy=1.049151	SmoothL1=0.487059
Epoch[26] Batch [40]	Speed: 163.55 samples/sec	CrossEntropy=1.049571	SmoothL1=0.480991
Epoch[26] Batch [60]	Speed: 163.63 samples/sec	CrossEntropy=1.048888	SmoothL1=0.475819
Epoch[26] Batch [80]	Speed: 163.13 samples/sec	CrossEntropy=1.042300	SmoothL1=0.476545
Epoch[26] Batch [100]	Speed: 160.80 samples/sec	CrossEntropy=1.049654	SmoothL1=0.472217
Epoch[26] Batch [120]	Speed: 161.71 samples/sec	CrossEntropy=1.018603	SmoothL1=0.473789
Epoch[26] Batch [140]	Speed: 162.08 samples/sec	CrossEntropy=1.042249	SmoothL1=0.477181
Epoch[26] Batch [160]	Speed: 164.61 samples/sec	CrossEntropy=1.035430	SmoothL1=0.464980
Epoch[26] Batch [180]	Speed: 162.61 samples/sec	CrossEntropy=1.030117	SmoothL1=0.486968
Epoch[26] Batch [200]	Speed: 162.85 samples/sec	CrossEntropy=1.040726	SmoothL1=0.456530
Epoch[26] Batch [220]	Speed: 162.99 samples/sec	CrossEntropy=1.021860	SmoothL1=0.476360
Epoch[26] Batch [240]	Speed: 162.23 samples/sec	CrossEntropy=1.023065	SmoothL1=0.471206
Epoch[26] Batch [260]	Speed: 161.85 samples/sec	CrossEntropy=1.034795	SmoothL1=0.476131
Epoch[26] Batch [280]	Speed: 163.14 samples/sec	CrossEntropy=1.027104	SmoothL1=0.489598
Epoch[26] Batch [300]	Speed: 163.45 samples/sec	CrossEntropy=1.036675	SmoothL1=0.485647
Epoch[26] Batch [320]	Speed: 162.74 samples/sec	CrossEntropy=1.030577	SmoothL1=0.456895
Epoch[26] Batch [340]	Speed: 164.98 samples/sec	CrossEntropy=1.029277	SmoothL1=0.473483
Epoch[26] Train-CrossEntropy=1.001820
Epoch[26] Train-SmoothL1=0.457108
Epoch[26] Time cost=102.001
Epoch[26] Validation-aeroplane=0.209793
Epoch[26] Validation-bicycle=0.068428
Epoch[26] Validation-bird=0.092531
Epoch[26] Validation-boat=0.031656
Epoch[26] Validation-bottle=0.003247
Epoch[26] Validation-bus=0.186802
Epoch[26] Validation-car=0.266048
Epoch[26] Validation-cat=0.189731
Epoch[26] Validation-chair=0.098019
Epoch[26] Validation-cow=0.090909
Epoch[26] Validation-diningtable=0.030328
Epoch[26] Validation-dog=0.109867
Epoch[26] Validation-horse=0.179994
Epoch[26] Validation-motorbike=0.237901
Epoch[26] Validation-person=0.227963
Epoch[26] Validation-pottedplant=0.090909
Epoch[26] Validation-sheep=0.092102
Epoch[26] Validation-sofa=0.030303
Epoch[26] Validation-train=0.160274
Epoch[26] Validation-tvmonitor=0.160521
Epoch[26] Validation-mAP=0.127866
Epoch[27] Batch [20]	Speed: 154.98 samples/sec	CrossEntropy=1.042429	SmoothL1=0.475669
Epoch[27] Batch [40]	Speed: 163.05 samples/sec	CrossEntropy=1.034561	SmoothL1=0.473155
Epoch[27] Batch [60]	Speed: 162.96 samples/sec	CrossEntropy=1.032229	SmoothL1=0.464408
Epoch[27] Batch [80]	Speed: 162.22 samples/sec	CrossEntropy=1.021303	SmoothL1=0.465275
Epoch[27] Batch [100]	Speed: 164.97 samples/sec	CrossEntropy=1.041874	SmoothL1=0.471447
Epoch[27] Batch [120]	Speed: 161.38 samples/sec	CrossEntropy=1.014928	SmoothL1=0.470679
Epoch[27] Batch [140]	Speed: 162.94 samples/sec	CrossEntropy=1.029571	SmoothL1=0.479213
Epoch[27] Batch [160]	Speed: 162.07 samples/sec	CrossEntropy=1.022418	SmoothL1=0.468741
Epoch[27] Batch [180]	Speed: 162.06 samples/sec	CrossEntropy=1.012548	SmoothL1=0.456964
Epoch[27] Batch [200]	Speed: 163.64 samples/sec	CrossEntropy=1.034670	SmoothL1=0.453331
Epoch[27] Batch [220]	Speed: 162.32 samples/sec	CrossEntropy=1.019808	SmoothL1=0.462004
Epoch[27] Batch [240]	Speed: 162.84 samples/sec	CrossEntropy=1.023184	SmoothL1=0.468690
Epoch[27] Batch [260]	Speed: 161.44 samples/sec	CrossEntropy=1.033400	SmoothL1=0.473587
Epoch[27] Batch [280]	Speed: 163.75 samples/sec	CrossEntropy=1.019487	SmoothL1=0.482197
Epoch[27] Batch [300]	Speed: 163.24 samples/sec	CrossEntropy=1.029735	SmoothL1=0.472032
Epoch[27] Batch [320]	Speed: 163.53 samples/sec	CrossEntropy=1.013986	SmoothL1=0.460464
Epoch[27] Batch [340]	Speed: 165.47 samples/sec	CrossEntropy=1.028693	SmoothL1=0.472682
Epoch[27] Train-CrossEntropy=1.030249
Epoch[27] Train-SmoothL1=0.502204
Epoch[27] Time cost=101.726
Epoch[27] Validation-aeroplane=0.219686
Epoch[27] Validation-bicycle=0.074100
Epoch[27] Validation-bird=0.029885
Epoch[27] Validation-boat=0.046559
Epoch[27] Validation-bottle=0.002674
Epoch[27] Validation-bus=0.160755
Epoch[27] Validation-car=0.268112
Epoch[27] Validation-cat=0.220444
Epoch[27] Validation-chair=0.099485
Epoch[27] Validation-cow=0.090909
Epoch[27] Validation-diningtable=0.129712
Epoch[27] Validation-dog=0.156189
Epoch[27] Validation-horse=0.141818
Epoch[27] Validation-motorbike=0.200227
Epoch[27] Validation-person=0.217698
Epoch[27] Validation-pottedplant=0.004785
Epoch[27] Validation-sheep=0.092825
Epoch[27] Validation-sofa=0.098981
Epoch[27] Validation-train=0.101246
Epoch[27] Validation-tvmonitor=0.152519
Epoch[27] Validation-mAP=0.125430
Epoch[28] Batch [20]	Speed: 155.25 samples/sec	CrossEntropy=1.031502	SmoothL1=0.481716
Epoch[28] Batch [40]	Speed: 162.36 samples/sec	CrossEntropy=1.025097	SmoothL1=0.472953
Epoch[28] Batch [60]	Speed: 162.75 samples/sec	CrossEntropy=1.047541	SmoothL1=0.459767
Epoch[28] Batch [80]	Speed: 161.91 samples/sec	CrossEntropy=1.024726	SmoothL1=0.469457
Epoch[28] Batch [100]	Speed: 162.76 samples/sec	CrossEntropy=1.035507	SmoothL1=0.478222
Epoch[28] Batch [120]	Speed: 162.36 samples/sec	CrossEntropy=1.006752	SmoothL1=0.476563
Epoch[28] Batch [140]	Speed: 163.99 samples/sec	CrossEntropy=1.030729	SmoothL1=0.465189
Epoch[28] Batch [160]	Speed: 162.14 samples/sec	CrossEntropy=1.028045	SmoothL1=0.467898
Epoch[28] Batch [180]	Speed: 163.08 samples/sec	CrossEntropy=1.016357	SmoothL1=0.461778
Epoch[28] Batch [200]	Speed: 162.59 samples/sec	CrossEntropy=1.017970	SmoothL1=0.455485
Epoch[28] Batch [220]	Speed: 162.39 samples/sec	CrossEntropy=1.010906	SmoothL1=0.472299
Epoch[28] Batch [240]	Speed: 163.00 samples/sec	CrossEntropy=1.014338	SmoothL1=0.462295
Epoch[28] Batch [260]	Speed: 161.79 samples/sec	CrossEntropy=1.032560	SmoothL1=0.475286
Epoch[28] Batch [280]	Speed: 163.17 samples/sec	CrossEntropy=1.018863	SmoothL1=0.476904
Epoch[28] Batch [300]	Speed: 163.02 samples/sec	CrossEntropy=1.032955	SmoothL1=0.495091
Epoch[28] Batch [320]	Speed: 161.69 samples/sec	CrossEntropy=1.017730	SmoothL1=0.455342
Epoch[28] Batch [340]	Speed: 166.05 samples/sec	CrossEntropy=1.030685	SmoothL1=0.470056
Epoch[28] Train-CrossEntropy=1.034738
Epoch[28] Train-SmoothL1=0.464092
Epoch[28] Time cost=101.845
Epoch[28] Validation-aeroplane=0.201231
Epoch[28] Validation-bicycle=0.069164
Epoch[28] Validation-bird=0.063928
Epoch[28] Validation-boat=0.034296
Epoch[28] Validation-bottle=0.001541
Epoch[28] Validation-bus=0.204432
Epoch[28] Validation-car=0.271210
Epoch[28] Validation-cat=0.219995
Epoch[28] Validation-chair=0.049470
Epoch[28] Validation-cow=0.020202
Epoch[28] Validation-diningtable=0.108112
Epoch[28] Validation-dog=0.153257
Epoch[28] Validation-horse=0.175995
Epoch[28] Validation-motorbike=0.249456
Epoch[28] Validation-person=0.211226
Epoch[28] Validation-pottedplant=0.011364
Epoch[28] Validation-sheep=0.046805
Epoch[28] Validation-sofa=0.037445
Epoch[28] Validation-train=0.121397
Epoch[28] Validation-tvmonitor=0.137870
Epoch[28] Validation-mAP=0.119420
Epoch[29] Batch [20]	Speed: 155.42 samples/sec	CrossEntropy=1.008699	SmoothL1=0.484434
Epoch[29] Batch [40]	Speed: 163.23 samples/sec	CrossEntropy=1.015701	SmoothL1=0.477369
Epoch[29] Batch [60]	Speed: 161.98 samples/sec	CrossEntropy=1.023809	SmoothL1=0.466553
Epoch[29] Batch [80]	Speed: 163.08 samples/sec	CrossEntropy=1.006921	SmoothL1=0.471693
Epoch[29] Batch [100]	Speed: 164.83 samples/sec	CrossEntropy=1.025370	SmoothL1=0.463551
Epoch[29] Batch [120]	Speed: 162.06 samples/sec	CrossEntropy=1.013101	SmoothL1=0.485010
Epoch[29] Batch [140]	Speed: 162.33 samples/sec	CrossEntropy=1.040966	SmoothL1=0.465601
Epoch[29] Batch [160]	Speed: 162.98 samples/sec	CrossEntropy=1.020859	SmoothL1=0.468447
Epoch[29] Batch [180]	Speed: 162.68 samples/sec	CrossEntropy=1.009048	SmoothL1=0.473482
Epoch[29] Batch [200]	Speed: 162.62 samples/sec	CrossEntropy=1.024732	SmoothL1=0.451849
Epoch[29] Batch [220]	Speed: 161.67 samples/sec	CrossEntropy=1.011146	SmoothL1=0.460958
Epoch[29] Batch [240]	Speed: 161.83 samples/sec	CrossEntropy=1.010027	SmoothL1=0.452184
Epoch[29] Batch [260]	Speed: 161.86 samples/sec	CrossEntropy=1.002540	SmoothL1=0.468689
Epoch[29] Batch [280]	Speed: 162.78 samples/sec	CrossEntropy=1.027018	SmoothL1=0.486194
Epoch[29] Batch [300]	Speed: 162.24 samples/sec	CrossEntropy=1.018290	SmoothL1=0.466818
Epoch[29] Batch [320]	Speed: 162.69 samples/sec	CrossEntropy=1.013370	SmoothL1=0.455650
Epoch[29] Batch [340]	Speed: 165.38 samples/sec	CrossEntropy=1.016056	SmoothL1=0.462137
Epoch[29] Train-CrossEntropy=1.017037
Epoch[29] Train-SmoothL1=0.450688
Epoch[29] Time cost=101.848
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0030.params"
Epoch[29] Validation-aeroplane=0.207707
Epoch[29] Validation-bicycle=0.092666
Epoch[29] Validation-bird=0.039378
Epoch[29] Validation-boat=0.092611
Epoch[29] Validation-bottle=0.006061
Epoch[29] Validation-bus=0.190745
Epoch[29] Validation-car=0.268391
Epoch[29] Validation-cat=0.227609
Epoch[29] Validation-chair=0.055527
Epoch[29] Validation-cow=0.041958
Epoch[29] Validation-diningtable=0.120780
Epoch[29] Validation-dog=0.091025
Epoch[29] Validation-horse=0.156201
Epoch[29] Validation-motorbike=0.215173
Epoch[29] Validation-person=0.213669
Epoch[29] Validation-pottedplant=0.011364
Epoch[29] Validation-sheep=0.098532
Epoch[29] Validation-sofa=0.027075
Epoch[29] Validation-train=0.153334
Epoch[29] Validation-tvmonitor=0.167028
Epoch[29] Validation-mAP=0.123842
Epoch[30] Batch [20]	Speed: 157.38 samples/sec	CrossEntropy=1.024907	SmoothL1=0.469226
Epoch[30] Batch [40]	Speed: 162.70 samples/sec	CrossEntropy=1.029462	SmoothL1=0.476226
Epoch[30] Batch [60]	Speed: 161.52 samples/sec	CrossEntropy=1.025601	SmoothL1=0.466399
Epoch[30] Batch [80]	Speed: 161.21 samples/sec	CrossEntropy=1.012510	SmoothL1=0.468184
Epoch[30] Batch [100]	Speed: 163.70 samples/sec	CrossEntropy=1.016953	SmoothL1=0.456202
Epoch[30] Batch [120]	Speed: 162.73 samples/sec	CrossEntropy=1.005977	SmoothL1=0.481722
Epoch[30] Batch [140]	Speed: 162.17 samples/sec	CrossEntropy=1.020428	SmoothL1=0.461201
Epoch[30] Batch [160]	Speed: 163.58 samples/sec	CrossEntropy=1.024548	SmoothL1=0.464671
Epoch[30] Batch [180]	Speed: 162.15 samples/sec	CrossEntropy=1.012600	SmoothL1=0.463471
Epoch[30] Batch [200]	Speed: 163.24 samples/sec	CrossEntropy=1.005043	SmoothL1=0.463826
Epoch[30] Batch [220]	Speed: 162.36 samples/sec	CrossEntropy=1.007712	SmoothL1=0.452700
Epoch[30] Batch [240]	Speed: 162.51 samples/sec	CrossEntropy=1.000913	SmoothL1=0.470473
Epoch[30] Batch [260]	Speed: 161.93 samples/sec	CrossEntropy=1.031618	SmoothL1=0.492715
Epoch[30] Batch [280]	Speed: 160.64 samples/sec	CrossEntropy=1.003144	SmoothL1=0.483385
Epoch[30] Batch [300]	Speed: 162.82 samples/sec	CrossEntropy=1.013552	SmoothL1=0.463556
Epoch[30] Batch [320]	Speed: 162.45 samples/sec	CrossEntropy=1.007784	SmoothL1=0.458706
Epoch[30] Batch [340]	Speed: 165.36 samples/sec	CrossEntropy=1.017161	SmoothL1=0.467125
Epoch[30] Train-CrossEntropy=1.018597
Epoch[30] Train-SmoothL1=0.437381
Epoch[30] Time cost=101.896
Epoch[30] Validation-aeroplane=0.214422
Epoch[30] Validation-bicycle=0.085488
Epoch[30] Validation-bird=0.091967
Epoch[30] Validation-boat=0.092681
Epoch[30] Validation-bottle=0.045455
Epoch[30] Validation-bus=0.205843
Epoch[30] Validation-car=0.267593
Epoch[30] Validation-cat=0.218618
Epoch[30] Validation-chair=0.102589
Epoch[30] Validation-cow=0.030303
Epoch[30] Validation-diningtable=0.128479
Epoch[30] Validation-dog=0.117684
Epoch[30] Validation-horse=0.158425
Epoch[30] Validation-motorbike=0.218954
Epoch[30] Validation-person=0.229854
Epoch[30] Validation-pottedplant=0.008658
Epoch[30] Validation-sheep=0.096972
Epoch[30] Validation-sofa=0.039152
Epoch[30] Validation-train=0.193188
Epoch[30] Validation-tvmonitor=0.170218
Epoch[30] Validation-mAP=0.135827
Epoch[31] Batch [20]	Speed: 155.04 samples/sec	CrossEntropy=1.008009	SmoothL1=0.477632
Epoch[31] Batch [40]	Speed: 161.42 samples/sec	CrossEntropy=1.025475	SmoothL1=0.475706
Epoch[31] Batch [60]	Speed: 163.02 samples/sec	CrossEntropy=1.015010	SmoothL1=0.449759
Epoch[31] Batch [80]	Speed: 162.82 samples/sec	CrossEntropy=1.013140	SmoothL1=0.462612
Epoch[31] Batch [100]	Speed: 162.74 samples/sec	CrossEntropy=1.011692	SmoothL1=0.467311
Epoch[31] Batch [120]	Speed: 160.82 samples/sec	CrossEntropy=1.001699	SmoothL1=0.471806
Epoch[31] Batch [140]	Speed: 163.98 samples/sec	CrossEntropy=1.018037	SmoothL1=0.457278
Epoch[31] Batch [160]	Speed: 161.28 samples/sec	CrossEntropy=0.999705	SmoothL1=0.458199
Epoch[31] Batch [180]	Speed: 160.47 samples/sec	CrossEntropy=1.009676	SmoothL1=0.461184
Epoch[31] Batch [200]	Speed: 161.88 samples/sec	CrossEntropy=1.009932	SmoothL1=0.446331
Epoch[31] Batch [220]	Speed: 163.56 samples/sec	CrossEntropy=1.016660	SmoothL1=0.458708
Epoch[31] Batch [240]	Speed: 162.06 samples/sec	CrossEntropy=1.010927	SmoothL1=0.459748
Epoch[31] Batch [260]	Speed: 162.15 samples/sec	CrossEntropy=1.015665	SmoothL1=0.459447
Epoch[31] Batch [280]	Speed: 160.56 samples/sec	CrossEntropy=0.998234	SmoothL1=0.481252
Epoch[31] Batch [300]	Speed: 160.29 samples/sec	CrossEntropy=1.018674	SmoothL1=0.475605
Epoch[31] Batch [320]	Speed: 162.11 samples/sec	CrossEntropy=0.987761	SmoothL1=0.449298
Epoch[31] Batch [340]	Speed: 165.74 samples/sec	CrossEntropy=1.015540	SmoothL1=0.454947
Epoch[31] Train-CrossEntropy=1.002154
Epoch[31] Train-SmoothL1=0.493742
Epoch[31] Time cost=101.933
Epoch[31] Validation-aeroplane=0.238299
Epoch[31] Validation-bicycle=0.118329
Epoch[31] Validation-bird=0.039540
Epoch[31] Validation-boat=0.096966
Epoch[31] Validation-bottle=0.045455
Epoch[31] Validation-bus=0.203391
Epoch[31] Validation-car=0.298598
Epoch[31] Validation-cat=0.228869
Epoch[31] Validation-chair=0.101907
Epoch[31] Validation-cow=0.055591
Epoch[31] Validation-diningtable=0.142787
Epoch[31] Validation-dog=0.138360
Epoch[31] Validation-horse=0.227179
Epoch[31] Validation-motorbike=0.248155
Epoch[31] Validation-person=0.256110
Epoch[31] Validation-pottedplant=0.007656
Epoch[31] Validation-sheep=0.111355
Epoch[31] Validation-sofa=0.052729
Epoch[31] Validation-train=0.171250
Epoch[31] Validation-tvmonitor=0.169062
Epoch[31] Validation-mAP=0.147579
Epoch[32] Batch [20]	Speed: 152.52 samples/sec	CrossEntropy=1.016787	SmoothL1=0.464821
Epoch[32] Batch [40]	Speed: 163.44 samples/sec	CrossEntropy=1.014250	SmoothL1=0.479899
Epoch[32] Batch [60]	Speed: 162.99 samples/sec	CrossEntropy=1.013044	SmoothL1=0.437659
Epoch[32] Batch [80]	Speed: 161.40 samples/sec	CrossEntropy=0.994647	SmoothL1=0.465283
Epoch[32] Batch [100]	Speed: 162.80 samples/sec	CrossEntropy=1.005961	SmoothL1=0.448500
Epoch[32] Batch [120]	Speed: 161.84 samples/sec	CrossEntropy=0.990603	SmoothL1=0.461686
Epoch[32] Batch [140]	Speed: 164.23 samples/sec	CrossEntropy=1.011388	SmoothL1=0.468697
Epoch[32] Batch [160]	Speed: 161.76 samples/sec	CrossEntropy=1.005730	SmoothL1=0.447975
Epoch[32] Batch [180]	Speed: 161.48 samples/sec	CrossEntropy=0.991154	SmoothL1=0.446928
Epoch[32] Batch [200]	Speed: 163.68 samples/sec	CrossEntropy=1.008162	SmoothL1=0.437447
Epoch[32] Batch [220]	Speed: 162.66 samples/sec	CrossEntropy=1.000035	SmoothL1=0.453524
Epoch[32] Batch [240]	Speed: 161.53 samples/sec	CrossEntropy=0.992976	SmoothL1=0.465495
Epoch[32] Batch [260]	Speed: 162.26 samples/sec	CrossEntropy=0.996683	SmoothL1=0.463727
Epoch[32] Batch [280]	Speed: 160.65 samples/sec	CrossEntropy=1.006895	SmoothL1=0.479304
Epoch[32] Batch [300]	Speed: 163.38 samples/sec	CrossEntropy=1.002314	SmoothL1=0.479243
Epoch[32] Batch [320]	Speed: 163.66 samples/sec	CrossEntropy=0.996558	SmoothL1=0.449500
Epoch[32] Batch [340]	Speed: 165.76 samples/sec	CrossEntropy=0.996578	SmoothL1=0.452995
Epoch[32] Train-CrossEntropy=1.011783
Epoch[32] Train-SmoothL1=0.465886
Epoch[32] Time cost=102.017
Epoch[32] Validation-aeroplane=0.245445
Epoch[32] Validation-bicycle=0.122552
Epoch[32] Validation-bird=0.045910
Epoch[32] Validation-boat=0.093353
Epoch[32] Validation-bottle=0.018182
Epoch[32] Validation-bus=0.198655
Epoch[32] Validation-car=0.306827
Epoch[32] Validation-cat=0.219257
Epoch[32] Validation-chair=0.044954
Epoch[32] Validation-cow=0.101010
Epoch[32] Validation-diningtable=0.169393
Epoch[32] Validation-dog=0.159125
Epoch[32] Validation-horse=0.202155
Epoch[32] Validation-motorbike=0.251157
Epoch[32] Validation-person=0.259095
Epoch[32] Validation-pottedplant=0.030303
Epoch[32] Validation-sheep=0.120308
Epoch[32] Validation-sofa=0.114420
Epoch[32] Validation-train=0.197236
Epoch[32] Validation-tvmonitor=0.188001
Epoch[32] Validation-mAP=0.154367
Epoch[33] Batch [20]	Speed: 158.30 samples/sec	CrossEntropy=1.008712	SmoothL1=0.464168
Epoch[33] Batch [40]	Speed: 163.22 samples/sec	CrossEntropy=1.007223	SmoothL1=0.466781
Epoch[33] Batch [60]	Speed: 162.63 samples/sec	CrossEntropy=0.996315	SmoothL1=0.435922
Epoch[33] Batch [80]	Speed: 162.76 samples/sec	CrossEntropy=0.988576	SmoothL1=0.460596
Epoch[33] Batch [100]	Speed: 163.08 samples/sec	CrossEntropy=1.012876	SmoothL1=0.451477
Epoch[33] Batch [120]	Speed: 162.78 samples/sec	CrossEntropy=0.995116	SmoothL1=0.466256
Epoch[33] Batch [140]	Speed: 162.83 samples/sec	CrossEntropy=1.006030	SmoothL1=0.452943
Epoch[33] Batch [160]	Speed: 162.59 samples/sec	CrossEntropy=1.001311	SmoothL1=0.452525
Epoch[33] Batch [180]	Speed: 162.31 samples/sec	CrossEntropy=0.997685	SmoothL1=0.457902
Epoch[33] Batch [200]	Speed: 162.43 samples/sec	CrossEntropy=0.999921	SmoothL1=0.442055
Epoch[33] Batch [220]	Speed: 163.51 samples/sec	CrossEntropy=1.000003	SmoothL1=0.444820
Epoch[33] Batch [240]	Speed: 160.97 samples/sec	CrossEntropy=0.994348	SmoothL1=0.456464
Epoch[33] Batch [260]	Speed: 161.56 samples/sec	CrossEntropy=0.997157	SmoothL1=0.456575
Epoch[33] Batch [280]	Speed: 162.39 samples/sec	CrossEntropy=1.000098	SmoothL1=0.476749
Epoch[33] Batch [300]	Speed: 161.72 samples/sec	CrossEntropy=1.005388	SmoothL1=0.459687
Epoch[33] Batch [320]	Speed: 162.80 samples/sec	CrossEntropy=1.000111	SmoothL1=0.439710
Epoch[33] Batch [340]	Speed: 165.87 samples/sec	CrossEntropy=1.003029	SmoothL1=0.451134
Epoch[33] Train-CrossEntropy=1.000471
Epoch[33] Train-SmoothL1=0.442321
Epoch[33] Time cost=101.762
Epoch[33] Validation-aeroplane=0.246226
Epoch[33] Validation-bicycle=0.143849
Epoch[33] Validation-bird=0.092678
Epoch[33] Validation-boat=0.098622
Epoch[33] Validation-bottle=0.030303
Epoch[33] Validation-bus=0.225743
Epoch[33] Validation-car=0.314882
Epoch[33] Validation-cat=0.233567
Epoch[33] Validation-chair=0.075016
Epoch[33] Validation-cow=0.090909
Epoch[33] Validation-diningtable=0.132968
Epoch[33] Validation-dog=0.188411
Epoch[33] Validation-horse=0.237818
Epoch[33] Validation-motorbike=0.272917
Epoch[33] Validation-person=0.285089
Epoch[33] Validation-pottedplant=0.012588
Epoch[33] Validation-sheep=0.111153
Epoch[33] Validation-sofa=0.050635
Epoch[33] Validation-train=0.202228
Epoch[33] Validation-tvmonitor=0.156602
Epoch[33] Validation-mAP=0.160110
Epoch[34] Batch [20]	Speed: 155.32 samples/sec	CrossEntropy=1.003747	SmoothL1=0.455829
Epoch[34] Batch [40]	Speed: 163.05 samples/sec	CrossEntropy=0.999951	SmoothL1=0.465146
Epoch[34] Batch [60]	Speed: 160.82 samples/sec	CrossEntropy=1.005564	SmoothL1=0.453536
Epoch[34] Batch [80]	Speed: 159.38 samples/sec	CrossEntropy=1.003753	SmoothL1=0.459037
Epoch[34] Batch [100]	Speed: 163.53 samples/sec	CrossEntropy=1.000541	SmoothL1=0.443557
Epoch[34] Batch [120]	Speed: 162.38 samples/sec	CrossEntropy=0.986180	SmoothL1=0.461209
Epoch[34] Batch [140]	Speed: 163.33 samples/sec	CrossEntropy=1.003652	SmoothL1=0.467144
Epoch[34] Batch [160]	Speed: 162.56 samples/sec	CrossEntropy=0.995074	SmoothL1=0.436555
Epoch[34] Batch [180]	Speed: 163.83 samples/sec	CrossEntropy=0.986332	SmoothL1=0.463267
Epoch[34] Batch [200]	Speed: 163.35 samples/sec	CrossEntropy=0.979234	SmoothL1=0.430590
Epoch[34] Batch [220]	Speed: 161.87 samples/sec	CrossEntropy=0.982284	SmoothL1=0.441075
Epoch[34] Batch [240]	Speed: 162.70 samples/sec	CrossEntropy=0.997312	SmoothL1=0.449387
Epoch[34] Batch [260]	Speed: 163.27 samples/sec	CrossEntropy=1.004277	SmoothL1=0.474104
Epoch[34] Batch [280]	Speed: 160.36 samples/sec	CrossEntropy=0.990841	SmoothL1=0.470736
Epoch[34] Batch [300]	Speed: 160.47 samples/sec	CrossEntropy=1.003834	SmoothL1=0.484176
Epoch[34] Batch [320]	Speed: 163.83 samples/sec	CrossEntropy=0.987259	SmoothL1=0.438649
Epoch[34] Batch [340]	Speed: 166.23 samples/sec	CrossEntropy=1.005039	SmoothL1=0.437641
Epoch[34] Train-CrossEntropy=0.989619
Epoch[34] Train-SmoothL1=0.448077
Epoch[34] Time cost=101.996
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0035.params"
Epoch[34] Validation-aeroplane=0.261422
Epoch[34] Validation-bicycle=0.084366
Epoch[34] Validation-bird=0.093559
Epoch[34] Validation-boat=0.064660
Epoch[34] Validation-bottle=0.022727
Epoch[34] Validation-bus=0.261383
Epoch[34] Validation-car=0.313875
Epoch[34] Validation-cat=0.225875
Epoch[34] Validation-chair=0.077617
Epoch[34] Validation-cow=0.090909
Epoch[34] Validation-diningtable=0.165605
Epoch[34] Validation-dog=0.180110
Epoch[34] Validation-horse=0.226708
Epoch[34] Validation-motorbike=0.253800
Epoch[34] Validation-person=0.255966
Epoch[34] Validation-pottedplant=0.009828
Epoch[34] Validation-sheep=0.113866
Epoch[34] Validation-sofa=0.047811
Epoch[34] Validation-train=0.238275
Epoch[34] Validation-tvmonitor=0.183225
Epoch[34] Validation-mAP=0.158579
Epoch[35] Batch [20]	Speed: 157.21 samples/sec	CrossEntropy=0.993561	SmoothL1=0.461315
Epoch[35] Batch [40]	Speed: 162.72 samples/sec	CrossEntropy=0.986973	SmoothL1=0.467134
Epoch[35] Batch [60]	Speed: 160.26 samples/sec	CrossEntropy=0.998395	SmoothL1=0.446585
Epoch[35] Batch [80]	Speed: 162.83 samples/sec	CrossEntropy=0.996469	SmoothL1=0.459353
Epoch[35] Batch [100]	Speed: 162.57 samples/sec	CrossEntropy=0.990662	SmoothL1=0.441197
Epoch[35] Batch [120]	Speed: 162.08 samples/sec	CrossEntropy=0.973015	SmoothL1=0.450693
Epoch[35] Batch [140]	Speed: 164.17 samples/sec	CrossEntropy=0.990261	SmoothL1=0.449122
Epoch[35] Batch [160]	Speed: 162.41 samples/sec	CrossEntropy=0.989376	SmoothL1=0.448507
Epoch[35] Batch [180]	Speed: 162.33 samples/sec	CrossEntropy=0.962960	SmoothL1=0.446031
Epoch[35] Batch [200]	Speed: 163.85 samples/sec	CrossEntropy=0.990127	SmoothL1=0.447072
Epoch[35] Batch [220]	Speed: 158.85 samples/sec	CrossEntropy=0.989784	SmoothL1=0.454532
Epoch[35] Batch [240]	Speed: 154.00 samples/sec	CrossEntropy=0.990466	SmoothL1=0.458751
Epoch[35] Batch [260]	Speed: 158.02 samples/sec	CrossEntropy=0.990797	SmoothL1=0.462949
Epoch[35] Batch [280]	Speed: 160.99 samples/sec	CrossEntropy=0.994123	SmoothL1=0.458723
Epoch[35] Batch [300]	Speed: 151.84 samples/sec	CrossEntropy=0.986224	SmoothL1=0.455796
Epoch[35] Batch [320]	Speed: 161.17 samples/sec	CrossEntropy=0.986631	SmoothL1=0.444902
Epoch[35] Batch [340]	Speed: 164.30 samples/sec	CrossEntropy=0.971088	SmoothL1=0.444480
Epoch[35] Train-CrossEntropy=1.027180
Epoch[35] Train-SmoothL1=0.464622
Epoch[35] Time cost=103.020
Epoch[35] Validation-aeroplane=0.225956
Epoch[35] Validation-bicycle=0.139198
Epoch[35] Validation-bird=0.036826
Epoch[35] Validation-boat=0.094152
Epoch[35] Validation-bottle=0.090909
Epoch[35] Validation-bus=0.241844
Epoch[35] Validation-car=0.327229
Epoch[35] Validation-cat=0.240981
Epoch[35] Validation-chair=0.104885
Epoch[35] Validation-cow=0.104640
Epoch[35] Validation-diningtable=0.168859
Epoch[35] Validation-dog=0.195037
Epoch[35] Validation-horse=0.230277
Epoch[35] Validation-motorbike=0.282214
Epoch[35] Validation-person=0.280164
Epoch[35] Validation-pottedplant=0.090909
Epoch[35] Validation-sheep=0.116036
Epoch[35] Validation-sofa=0.110721
Epoch[35] Validation-train=0.180199
Epoch[35] Validation-tvmonitor=0.205554
Epoch[35] Validation-mAP=0.173329
Epoch[36] Batch [20]	Speed: 156.14 samples/sec	CrossEntropy=1.002984	SmoothL1=0.445879
Epoch[36] Batch [40]	Speed: 161.49 samples/sec	CrossEntropy=0.976500	SmoothL1=0.463739
Epoch[36] Batch [60]	Speed: 161.56 samples/sec	CrossEntropy=0.992544	SmoothL1=0.453664
Epoch[36] Batch [80]	Speed: 160.71 samples/sec	CrossEntropy=0.971995	SmoothL1=0.449082
Epoch[36] Batch [100]	Speed: 161.28 samples/sec	CrossEntropy=0.986596	SmoothL1=0.447158
Epoch[36] Batch [120]	Speed: 162.34 samples/sec	CrossEntropy=0.973892	SmoothL1=0.463886
Epoch[36] Batch [140]	Speed: 161.28 samples/sec	CrossEntropy=0.995087	SmoothL1=0.453633
Epoch[36] Batch [160]	Speed: 161.62 samples/sec	CrossEntropy=0.981851	SmoothL1=0.455619
Epoch[36] Batch [180]	Speed: 161.21 samples/sec	CrossEntropy=0.970564	SmoothL1=0.444238
Epoch[36] Batch [200]	Speed: 163.73 samples/sec	CrossEntropy=0.974194	SmoothL1=0.435725
Epoch[36] Batch [220]	Speed: 163.86 samples/sec	CrossEntropy=0.971913	SmoothL1=0.443348
Epoch[36] Batch [240]	Speed: 163.33 samples/sec	CrossEntropy=0.981231	SmoothL1=0.453952
Epoch[36] Batch [260]	Speed: 162.30 samples/sec	CrossEntropy=0.981874	SmoothL1=0.454172
Epoch[36] Batch [280]	Speed: 162.94 samples/sec	CrossEntropy=0.988621	SmoothL1=0.457392
Epoch[36] Batch [300]	Speed: 162.39 samples/sec	CrossEntropy=0.990649	SmoothL1=0.449123
Epoch[36] Batch [320]	Speed: 163.34 samples/sec	CrossEntropy=0.992113	SmoothL1=0.428556
Epoch[36] Batch [340]	Speed: 164.30 samples/sec	CrossEntropy=0.965042	SmoothL1=0.437363
Epoch[36] Train-CrossEntropy=0.991372
Epoch[36] Train-SmoothL1=0.428721
Epoch[36] Time cost=101.793
Epoch[36] Validation-aeroplane=0.268861
Epoch[36] Validation-bicycle=0.136979
Epoch[36] Validation-bird=0.097631
Epoch[36] Validation-boat=0.099061
Epoch[36] Validation-bottle=0.090909
Epoch[36] Validation-bus=0.229346
Epoch[36] Validation-car=0.344562
Epoch[36] Validation-cat=0.234729
Epoch[36] Validation-chair=0.064201
Epoch[36] Validation-cow=0.090909
Epoch[36] Validation-diningtable=0.161501
Epoch[36] Validation-dog=0.133831
Epoch[36] Validation-horse=0.203911
Epoch[36] Validation-motorbike=0.298689
Epoch[36] Validation-person=0.304268
Epoch[36] Validation-pottedplant=0.011364
Epoch[36] Validation-sheep=0.141304
Epoch[36] Validation-sofa=0.085276
Epoch[36] Validation-train=0.197737
Epoch[36] Validation-tvmonitor=0.215851
Epoch[36] Validation-mAP=0.170546
Epoch[37] Batch [20]	Speed: 158.10 samples/sec	CrossEntropy=0.982470	SmoothL1=0.450402
Epoch[37] Batch [40]	Speed: 162.74 samples/sec	CrossEntropy=0.981984	SmoothL1=0.455117
Epoch[37] Batch [60]	Speed: 162.65 samples/sec	CrossEntropy=0.988427	SmoothL1=0.451097
Epoch[37] Batch [80]	Speed: 161.08 samples/sec	CrossEntropy=0.983933	SmoothL1=0.454805
Epoch[37] Batch [100]	Speed: 159.81 samples/sec	CrossEntropy=0.988900	SmoothL1=0.454672
Epoch[37] Batch [120]	Speed: 162.29 samples/sec	CrossEntropy=0.964051	SmoothL1=0.454296
Epoch[37] Batch [140]	Speed: 162.63 samples/sec	CrossEntropy=0.984808	SmoothL1=0.452240
Epoch[37] Batch [160]	Speed: 162.50 samples/sec	CrossEntropy=0.966162	SmoothL1=0.437827
Epoch[37] Batch [180]	Speed: 162.62 samples/sec	CrossEntropy=0.963189	SmoothL1=0.437306
Epoch[37] Batch [200]	Speed: 162.79 samples/sec	CrossEntropy=0.975435	SmoothL1=0.419535
Epoch[37] Batch [220]	Speed: 162.88 samples/sec	CrossEntropy=0.978338	SmoothL1=0.439963
Epoch[37] Batch [240]	Speed: 162.38 samples/sec	CrossEntropy=0.979356	SmoothL1=0.460735
Epoch[37] Batch [260]	Speed: 162.06 samples/sec	CrossEntropy=0.984524	SmoothL1=0.453168
Epoch[37] Batch [280]	Speed: 162.59 samples/sec	CrossEntropy=0.979782	SmoothL1=0.451933
Epoch[37] Batch [300]	Speed: 164.05 samples/sec	CrossEntropy=0.977047	SmoothL1=0.448839
Epoch[37] Batch [320]	Speed: 162.31 samples/sec	CrossEntropy=0.971782	SmoothL1=0.444821
Epoch[37] Batch [340]	Speed: 165.23 samples/sec	CrossEntropy=0.977463	SmoothL1=0.453310
Epoch[37] Train-CrossEntropy=0.961544
Epoch[37] Train-SmoothL1=0.454973
Epoch[37] Time cost=101.879
Epoch[37] Validation-aeroplane=0.257485
Epoch[37] Validation-bicycle=0.148080
Epoch[37] Validation-bird=0.100990
Epoch[37] Validation-boat=0.103340
Epoch[37] Validation-bottle=0.030303
Epoch[37] Validation-bus=0.240411
Epoch[37] Validation-car=0.340843
Epoch[37] Validation-cat=0.201414
Epoch[37] Validation-chair=0.110925
Epoch[37] Validation-cow=0.104140
Epoch[37] Validation-diningtable=0.197159
Epoch[37] Validation-dog=0.175608
Epoch[37] Validation-horse=0.196789
Epoch[37] Validation-motorbike=0.264280
Epoch[37] Validation-person=0.287669
Epoch[37] Validation-pottedplant=0.008658
Epoch[37] Validation-sheep=0.139279
Epoch[37] Validation-sofa=0.070326
Epoch[37] Validation-train=0.217657
Epoch[37] Validation-tvmonitor=0.217917
Epoch[37] Validation-mAP=0.170664
Epoch[38] Batch [20]	Speed: 157.38 samples/sec	CrossEntropy=0.987477	SmoothL1=0.451364
Epoch[38] Batch [40]	Speed: 163.81 samples/sec	CrossEntropy=0.951712	SmoothL1=0.447863
Epoch[38] Batch [60]	Speed: 162.94 samples/sec	CrossEntropy=0.978341	SmoothL1=0.446090
Epoch[38] Batch [80]	Speed: 162.22 samples/sec	CrossEntropy=0.970097	SmoothL1=0.445857
Epoch[38] Batch [100]	Speed: 163.07 samples/sec	CrossEntropy=0.976796	SmoothL1=0.433790
Epoch[38] Batch [120]	Speed: 162.12 samples/sec	CrossEntropy=0.958535	SmoothL1=0.452535
Epoch[38] Batch [140]	Speed: 161.74 samples/sec	CrossEntropy=0.962436	SmoothL1=0.463022
Epoch[38] Batch [160]	Speed: 162.08 samples/sec	CrossEntropy=0.959288	SmoothL1=0.445755
Epoch[38] Batch [180]	Speed: 161.62 samples/sec	CrossEntropy=0.961360	SmoothL1=0.454902
Epoch[38] Batch [200]	Speed: 163.58 samples/sec	CrossEntropy=0.971596	SmoothL1=0.422698
Epoch[38] Batch [220]	Speed: 163.44 samples/sec	CrossEntropy=0.974503	SmoothL1=0.442060
Epoch[38] Batch [240]	Speed: 162.22 samples/sec	CrossEntropy=0.975672	SmoothL1=0.456262
Epoch[38] Batch [260]	Speed: 160.20 samples/sec	CrossEntropy=0.985160	SmoothL1=0.464912
Epoch[38] Batch [280]	Speed: 163.16 samples/sec	CrossEntropy=0.965766	SmoothL1=0.465885
Epoch[38] Batch [300]	Speed: 159.29 samples/sec	CrossEntropy=0.982017	SmoothL1=0.453223
Epoch[38] Batch [320]	Speed: 163.20 samples/sec	CrossEntropy=0.970414	SmoothL1=0.427186
Epoch[38] Batch [340]	Speed: 163.93 samples/sec	CrossEntropy=0.982121	SmoothL1=0.438084
Epoch[38] Train-CrossEntropy=0.960366
Epoch[38] Train-SmoothL1=0.439472
Epoch[38] Time cost=102.003
Epoch[38] Validation-aeroplane=0.256697
Epoch[38] Validation-bicycle=0.121412
Epoch[38] Validation-bird=0.055469
Epoch[38] Validation-boat=0.097090
Epoch[38] Validation-bottle=0.090909
Epoch[38] Validation-bus=0.247112
Epoch[38] Validation-car=0.332156
Epoch[38] Validation-cat=0.246351
Epoch[38] Validation-chair=0.106761
Epoch[38] Validation-cow=0.045683
Epoch[38] Validation-diningtable=0.158809
Epoch[38] Validation-dog=0.207590
Epoch[38] Validation-horse=0.255372
Epoch[38] Validation-motorbike=0.254569
Epoch[38] Validation-person=0.298318
Epoch[38] Validation-pottedplant=0.011552
Epoch[38] Validation-sheep=0.170860
Epoch[38] Validation-sofa=0.123838
Epoch[38] Validation-train=0.230162
Epoch[38] Validation-tvmonitor=0.202053
Epoch[38] Validation-mAP=0.175638
Epoch[39] Batch [20]	Speed: 155.89 samples/sec	CrossEntropy=0.980518	SmoothL1=0.438286
Epoch[39] Batch [40]	Speed: 163.70 samples/sec	CrossEntropy=0.973499	SmoothL1=0.454323
Epoch[39] Batch [60]	Speed: 163.05 samples/sec	CrossEntropy=0.971438	SmoothL1=0.433677
Epoch[39] Batch [80]	Speed: 162.71 samples/sec	CrossEntropy=0.963425	SmoothL1=0.447911
Epoch[39] Batch [100]	Speed: 163.14 samples/sec	CrossEntropy=0.976201	SmoothL1=0.426954
Epoch[39] Batch [120]	Speed: 163.72 samples/sec	CrossEntropy=0.962508	SmoothL1=0.437581
Epoch[39] Batch [140]	Speed: 162.43 samples/sec	CrossEntropy=0.974023	SmoothL1=0.450283
Epoch[39] Batch [160]	Speed: 161.69 samples/sec	CrossEntropy=0.966341	SmoothL1=0.444237
Epoch[39] Batch [180]	Speed: 160.97 samples/sec	CrossEntropy=0.975874	SmoothL1=0.442540
Epoch[39] Batch [200]	Speed: 162.03 samples/sec	CrossEntropy=0.968096	SmoothL1=0.435306
Epoch[39] Batch [220]	Speed: 163.41 samples/sec	CrossEntropy=0.972269	SmoothL1=0.434312
Epoch[39] Batch [240]	Speed: 163.16 samples/sec	CrossEntropy=0.955890	SmoothL1=0.438650
Epoch[39] Batch [260]	Speed: 161.19 samples/sec	CrossEntropy=0.969843	SmoothL1=0.461254
Epoch[39] Batch [280]	Speed: 162.20 samples/sec	CrossEntropy=0.962288	SmoothL1=0.460201
Epoch[39] Batch [300]	Speed: 163.04 samples/sec	CrossEntropy=0.962825	SmoothL1=0.449748
Epoch[39] Batch [320]	Speed: 162.75 samples/sec	CrossEntropy=0.968788	SmoothL1=0.441720
Epoch[39] Batch [340]	Speed: 163.91 samples/sec	CrossEntropy=0.966660	SmoothL1=0.466170
Epoch[39] Train-CrossEntropy=0.970407
Epoch[39] Train-SmoothL1=0.433944
Epoch[39] Time cost=101.897
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0040.params"
Epoch[39] Validation-aeroplane=0.258788
Epoch[39] Validation-bicycle=0.130918
Epoch[39] Validation-bird=0.081152
Epoch[39] Validation-boat=0.099717
Epoch[39] Validation-bottle=0.090909
Epoch[39] Validation-bus=0.278024
Epoch[39] Validation-car=0.339377
Epoch[39] Validation-cat=0.239839
Epoch[39] Validation-chair=0.079027
Epoch[39] Validation-cow=0.101562
Epoch[39] Validation-diningtable=0.194600
Epoch[39] Validation-dog=0.192005
Epoch[39] Validation-horse=0.268758
Epoch[39] Validation-motorbike=0.266973
Epoch[39] Validation-person=0.300666
Epoch[39] Validation-pottedplant=0.008951
Epoch[39] Validation-sheep=0.166416
Epoch[39] Validation-sofa=0.146052
Epoch[39] Validation-train=0.261084
Epoch[39] Validation-tvmonitor=0.218973
Epoch[39] Validation-mAP=0.186190
Epoch[40] Batch [20]	Speed: 158.02 samples/sec	CrossEntropy=0.964984	SmoothL1=0.447499
Epoch[40] Batch [40]	Speed: 164.32 samples/sec	CrossEntropy=0.971599	SmoothL1=0.431116
Epoch[40] Batch [60]	Speed: 162.03 samples/sec	CrossEntropy=0.968121	SmoothL1=0.432356
Epoch[40] Batch [80]	Speed: 162.74 samples/sec	CrossEntropy=0.963110	SmoothL1=0.441623
Epoch[40] Batch [100]	Speed: 161.14 samples/sec	CrossEntropy=0.962717	SmoothL1=0.443882
Epoch[40] Batch [120]	Speed: 164.20 samples/sec	CrossEntropy=0.974121	SmoothL1=0.465269
Epoch[40] Batch [140]	Speed: 162.69 samples/sec	CrossEntropy=0.966513	SmoothL1=0.449438
Epoch[40] Batch [160]	Speed: 161.91 samples/sec	CrossEntropy=0.970125	SmoothL1=0.443218
Epoch[40] Batch [180]	Speed: 161.64 samples/sec	CrossEntropy=0.950534	SmoothL1=0.421099
Epoch[40] Batch [200]	Speed: 163.85 samples/sec	CrossEntropy=0.961117	SmoothL1=0.434846
Epoch[40] Batch [220]	Speed: 161.74 samples/sec	CrossEntropy=0.955772	SmoothL1=0.439929
Epoch[40] Batch [240]	Speed: 162.91 samples/sec	CrossEntropy=0.962470	SmoothL1=0.434168
Epoch[40] Batch [260]	Speed: 161.25 samples/sec	CrossEntropy=0.954955	SmoothL1=0.455764
Epoch[40] Batch [280]	Speed: 160.85 samples/sec	CrossEntropy=0.962139	SmoothL1=0.430750
Epoch[40] Batch [300]	Speed: 163.76 samples/sec	CrossEntropy=0.965877	SmoothL1=0.454903
Epoch[40] Batch [320]	Speed: 162.37 samples/sec	CrossEntropy=0.967428	SmoothL1=0.431860
Epoch[40] Batch [340]	Speed: 163.72 samples/sec	CrossEntropy=0.960017	SmoothL1=0.446427
Epoch[40] Train-CrossEntropy=0.986780
Epoch[40] Train-SmoothL1=0.443882
Epoch[40] Time cost=101.875
Epoch[40] Validation-aeroplane=0.276482
Epoch[40] Validation-bicycle=0.111723
Epoch[40] Validation-bird=0.094641
Epoch[40] Validation-boat=0.109805
Epoch[40] Validation-bottle=0.090909
Epoch[40] Validation-bus=0.282735
Epoch[40] Validation-car=0.363576
Epoch[40] Validation-cat=0.224836
Epoch[40] Validation-chair=0.113266
Epoch[40] Validation-cow=0.060231
Epoch[40] Validation-diningtable=0.152793
Epoch[40] Validation-dog=0.197895
Epoch[40] Validation-horse=0.262561
Epoch[40] Validation-motorbike=0.287884
Epoch[40] Validation-person=0.294114
Epoch[40] Validation-pottedplant=0.092541
Epoch[40] Validation-sheep=0.165122
Epoch[40] Validation-sofa=0.071136
Epoch[40] Validation-train=0.235363
Epoch[40] Validation-tvmonitor=0.220060
Epoch[40] Validation-mAP=0.185384
Epoch[41] Batch [20]	Speed: 155.55 samples/sec	CrossEntropy=0.981633	SmoothL1=0.462117
Epoch[41] Batch [40]	Speed: 163.02 samples/sec	CrossEntropy=0.956025	SmoothL1=0.443392
Epoch[41] Batch [60]	Speed: 160.93 samples/sec	CrossEntropy=0.977500	SmoothL1=0.435480
Epoch[41] Batch [80]	Speed: 162.56 samples/sec	CrossEntropy=0.966950	SmoothL1=0.456566
Epoch[41] Batch [100]	Speed: 164.54 samples/sec	CrossEntropy=0.960049	SmoothL1=0.428889
Epoch[41] Batch [120]	Speed: 162.86 samples/sec	CrossEntropy=0.956293	SmoothL1=0.439625
Epoch[41] Batch [140]	Speed: 162.36 samples/sec	CrossEntropy=0.958803	SmoothL1=0.449605
Epoch[41] Batch [160]	Speed: 162.83 samples/sec	CrossEntropy=0.957047	SmoothL1=0.431895
Epoch[41] Batch [180]	Speed: 160.92 samples/sec	CrossEntropy=0.958003	SmoothL1=0.443089
Epoch[41] Batch [200]	Speed: 161.98 samples/sec	CrossEntropy=0.952675	SmoothL1=0.422745
Epoch[41] Batch [220]	Speed: 162.15 samples/sec	CrossEntropy=0.958206	SmoothL1=0.428541
Epoch[41] Batch [240]	Speed: 161.16 samples/sec	CrossEntropy=0.950473	SmoothL1=0.435378
Epoch[41] Batch [260]	Speed: 160.91 samples/sec	CrossEntropy=0.954218	SmoothL1=0.457157
Epoch[41] Batch [280]	Speed: 161.65 samples/sec	CrossEntropy=0.953928	SmoothL1=0.447087
Epoch[41] Batch [300]	Speed: 161.81 samples/sec	CrossEntropy=0.958140	SmoothL1=0.452924
Epoch[41] Batch [320]	Speed: 161.99 samples/sec	CrossEntropy=0.957956	SmoothL1=0.420521
Epoch[41] Batch [340]	Speed: 167.05 samples/sec	CrossEntropy=0.963192	SmoothL1=0.443502
Epoch[41] Train-CrossEntropy=0.985603
Epoch[41] Train-SmoothL1=0.423191
Epoch[41] Time cost=101.814
Epoch[41] Validation-aeroplane=0.277932
Epoch[41] Validation-bicycle=0.153656
Epoch[41] Validation-bird=0.110685
Epoch[41] Validation-boat=0.104196
Epoch[41] Validation-bottle=0.090909
Epoch[41] Validation-bus=0.313033
Epoch[41] Validation-car=0.368408
Epoch[41] Validation-cat=0.240829
Epoch[41] Validation-chair=0.088338
Epoch[41] Validation-cow=0.063920
Epoch[41] Validation-diningtable=0.174280
Epoch[41] Validation-dog=0.168074
Epoch[41] Validation-horse=0.296976
Epoch[41] Validation-motorbike=0.257565
Epoch[41] Validation-person=0.329647
Epoch[41] Validation-pottedplant=0.092586
Epoch[41] Validation-sheep=0.185630
Epoch[41] Validation-sofa=0.139628
Epoch[41] Validation-train=0.306191
Epoch[41] Validation-tvmonitor=0.226601
Epoch[41] Validation-mAP=0.199454
Epoch[42] Batch [20]	Speed: 155.69 samples/sec	CrossEntropy=0.960478	SmoothL1=0.443136
Epoch[42] Batch [40]	Speed: 161.95 samples/sec	CrossEntropy=0.945866	SmoothL1=0.436023
Epoch[42] Batch [60]	Speed: 162.26 samples/sec	CrossEntropy=0.966685	SmoothL1=0.430696
Epoch[42] Batch [80]	Speed: 161.44 samples/sec	CrossEntropy=0.958062	SmoothL1=0.433086
Epoch[42] Batch [100]	Speed: 162.73 samples/sec	CrossEntropy=0.957729	SmoothL1=0.440725
Epoch[42] Batch [120]	Speed: 161.16 samples/sec	CrossEntropy=0.939444	SmoothL1=0.442362
Epoch[42] Batch [140]	Speed: 155.19 samples/sec	CrossEntropy=0.961015	SmoothL1=0.436169
Epoch[42] Batch [160]	Speed: 160.36 samples/sec	CrossEntropy=0.943386	SmoothL1=0.433959
Epoch[42] Batch [180]	Speed: 159.20 samples/sec	CrossEntropy=0.949545	SmoothL1=0.429371
Epoch[42] Batch [200]	Speed: 158.92 samples/sec	CrossEntropy=0.940432	SmoothL1=0.408821
Epoch[42] Batch [220]	Speed: 163.44 samples/sec	CrossEntropy=0.949129	SmoothL1=0.431098
Epoch[42] Batch [240]	Speed: 159.34 samples/sec	CrossEntropy=0.937477	SmoothL1=0.431232
Epoch[42] Batch [260]	Speed: 160.20 samples/sec	CrossEntropy=0.969678	SmoothL1=0.458797
Epoch[42] Batch [280]	Speed: 160.78 samples/sec	CrossEntropy=0.962948	SmoothL1=0.450103
Epoch[42] Batch [300]	Speed: 160.68 samples/sec	CrossEntropy=0.954869	SmoothL1=0.436633
Epoch[42] Batch [320]	Speed: 154.07 samples/sec	CrossEntropy=0.955414	SmoothL1=0.416359
Epoch[42] Batch [340]	Speed: 163.81 samples/sec	CrossEntropy=0.949786	SmoothL1=0.448994
Epoch[42] Train-CrossEntropy=0.977272
Epoch[42] Train-SmoothL1=0.454588
Epoch[42] Time cost=103.525
Epoch[42] Validation-aeroplane=0.290314
Epoch[42] Validation-bicycle=0.142517
Epoch[42] Validation-bird=0.098144
Epoch[42] Validation-boat=0.103360
Epoch[42] Validation-bottle=0.090909
Epoch[42] Validation-bus=0.300086
Epoch[42] Validation-car=0.364463
Epoch[42] Validation-cat=0.289085
Epoch[42] Validation-chair=0.122240
Epoch[42] Validation-cow=0.107766
Epoch[42] Validation-diningtable=0.177471
Epoch[42] Validation-dog=0.206412
Epoch[42] Validation-horse=0.268150
Epoch[42] Validation-motorbike=0.274455
Epoch[42] Validation-person=0.332035
Epoch[42] Validation-pottedplant=0.090909
Epoch[42] Validation-sheep=0.195192
Epoch[42] Validation-sofa=0.151624
Epoch[42] Validation-train=0.295615
Epoch[42] Validation-tvmonitor=0.249388
Epoch[42] Validation-mAP=0.207507
Epoch[43] Batch [20]	Speed: 148.62 samples/sec	CrossEntropy=0.960870	SmoothL1=0.428168
Epoch[43] Batch [40]	Speed: 158.19 samples/sec	CrossEntropy=0.952448	SmoothL1=0.430020
Epoch[43] Batch [60]	Speed: 154.87 samples/sec	CrossEntropy=0.958384	SmoothL1=0.427594
Epoch[43] Batch [80]	Speed: 153.42 samples/sec	CrossEntropy=0.951273	SmoothL1=0.444273
Epoch[43] Batch [100]	Speed: 159.12 samples/sec	CrossEntropy=0.945522	SmoothL1=0.431800
Epoch[43] Batch [120]	Speed: 159.01 samples/sec	CrossEntropy=0.945301	SmoothL1=0.447578
Epoch[43] Batch [140]	Speed: 159.45 samples/sec	CrossEntropy=0.952592	SmoothL1=0.439484
Epoch[43] Batch [160]	Speed: 162.21 samples/sec	CrossEntropy=0.938550	SmoothL1=0.440083
Resume training with (gpu(0)) from epoch 40
Epoch[40] Batch [20]	Speed: 161.92 samples/sec	CrossEntropy=0.964568	SmoothL1=0.449613
Resume training with (gpu(0)) from epoch 40
Epoch[40] Batch [20]	Speed: 156.58 samples/sec	CrossEntropy=0.964616	SmoothL1=0.449619
Epoch[40] Batch [40]	Speed: 160.13 samples/sec	CrossEntropy=0.974884	SmoothL1=0.443647
Epoch[40] Batch [60]	Speed: 163.37 samples/sec	CrossEntropy=0.966597	SmoothL1=0.436778
Epoch[40] Batch [80]	Speed: 163.09 samples/sec	CrossEntropy=0.977454	SmoothL1=0.457164
Epoch[40] Batch [100]	Speed: 163.17 samples/sec	CrossEntropy=0.972412	SmoothL1=0.446429
Epoch[40] Batch [120]	Speed: 163.95 samples/sec	CrossEntropy=0.956575	SmoothL1=0.442886
Epoch[40] Batch [140]	Speed: 163.88 samples/sec	CrossEntropy=0.972689	SmoothL1=0.447900
Epoch[40] Batch [160]	Speed: 163.96 samples/sec	CrossEntropy=0.946523	SmoothL1=0.429393
Epoch[40] Batch [180]	Speed: 159.29 samples/sec	CrossEntropy=0.944697	SmoothL1=0.437436
Epoch[40] Batch [200]	Speed: 158.82 samples/sec	CrossEntropy=0.954846	SmoothL1=0.425741
Epoch[40] Batch [220]	Speed: 159.57 samples/sec	CrossEntropy=0.955817	SmoothL1=0.425430
Epoch[40] Batch [240]	Speed: 160.58 samples/sec	CrossEntropy=0.952060	SmoothL1=0.432196
Epoch[40] Batch [260]	Speed: 154.78 samples/sec	CrossEntropy=0.957672	SmoothL1=0.446223
Epoch[40] Batch [280]	Speed: 153.41 samples/sec	CrossEntropy=0.961653	SmoothL1=0.464243
Epoch[40] Batch [300]	Speed: 153.90 samples/sec	CrossEntropy=0.958810	SmoothL1=0.425952
Epoch[40] Batch [320]	Speed: 154.27 samples/sec	CrossEntropy=0.962672	SmoothL1=0.434301
Epoch[40] Batch [340]	Speed: 161.47 samples/sec	CrossEntropy=0.975324	SmoothL1=0.426333
Epoch[40] Train-CrossEntropy=0.996801
Epoch[40] Train-SmoothL1=0.420648
Epoch[40] Time cost=111.920
Epoch[40] Validation-aeroplane=0.283218
Epoch[40] Validation-bicycle=0.128096
Epoch[40] Validation-bird=0.064893
Epoch[40] Validation-boat=0.099631
Epoch[40] Validation-bottle=0.090909
Epoch[40] Validation-bus=0.289095
Epoch[40] Validation-car=0.376182
Epoch[40] Validation-cat=0.224199
Epoch[40] Validation-chair=0.084822
Epoch[40] Validation-cow=0.107784
Epoch[40] Validation-diningtable=0.187824
Epoch[40] Validation-dog=0.177952
Epoch[40] Validation-horse=0.279588
Epoch[40] Validation-motorbike=0.309837
Epoch[40] Validation-person=0.326237
Epoch[40] Validation-pottedplant=0.019325
Epoch[40] Validation-sheep=0.171917
Epoch[40] Validation-sofa=0.129847
Epoch[40] Validation-train=0.277806
Epoch[40] Validation-tvmonitor=0.223733
Epoch[40] Validation-mAP=0.192645
Epoch[41] Batch [20]	Speed: 157.00 samples/sec	CrossEntropy=0.966236	SmoothL1=0.447935
Epoch[41] Batch [40]	Speed: 161.67 samples/sec	CrossEntropy=0.955439	SmoothL1=0.435799
Epoch[41] Batch [60]	Speed: 154.95 samples/sec	CrossEntropy=0.970413	SmoothL1=0.440357
Epoch[41] Batch [80]	Speed: 154.76 samples/sec	CrossEntropy=0.962283	SmoothL1=0.439731
Epoch[41] Batch [100]	Speed: 162.46 samples/sec	CrossEntropy=0.957274	SmoothL1=0.432700
Epoch[41] Batch [120]	Speed: 163.19 samples/sec	CrossEntropy=0.949867	SmoothL1=0.438283
Epoch[41] Batch [140]	Speed: 159.37 samples/sec	CrossEntropy=0.956656	SmoothL1=0.437057
Epoch[41] Batch [160]	Speed: 158.89 samples/sec	CrossEntropy=0.957205	SmoothL1=0.444691
Epoch[41] Batch [180]	Speed: 158.16 samples/sec	CrossEntropy=0.944706	SmoothL1=0.437500
Epoch[41] Batch [200]	Speed: 159.10 samples/sec	CrossEntropy=0.950569	SmoothL1=0.429702
Epoch[41] Batch [220]	Speed: 160.14 samples/sec	CrossEntropy=0.954195	SmoothL1=0.445499
Epoch[41] Batch [240]	Speed: 163.05 samples/sec	CrossEntropy=0.942064	SmoothL1=0.442844
Epoch[41] Batch [260]	Speed: 164.42 samples/sec	CrossEntropy=0.959286	SmoothL1=0.445195
Epoch[41] Batch [280]	Speed: 162.68 samples/sec	CrossEntropy=0.954438	SmoothL1=0.440180
Epoch[41] Batch [300]	Speed: 162.21 samples/sec	CrossEntropy=0.956936	SmoothL1=0.435259
Epoch[41] Batch [320]	Speed: 161.28 samples/sec	CrossEntropy=0.944526	SmoothL1=0.434031
Epoch[41] Batch [340]	Speed: 165.44 samples/sec	CrossEntropy=0.954791	SmoothL1=0.429130
Epoch[41] Train-CrossEntropy=0.961751
Epoch[41] Train-SmoothL1=0.443939
Epoch[41] Time cost=102.992
Epoch[41] Validation-aeroplane=0.276438
Epoch[41] Validation-bicycle=0.179083
Epoch[41] Validation-bird=0.066430
Epoch[41] Validation-boat=0.101612
Epoch[41] Validation-bottle=0.090909
Epoch[41] Validation-bus=0.292687
Epoch[41] Validation-car=0.364783
Epoch[41] Validation-cat=0.227041
Epoch[41] Validation-chair=0.078204
Epoch[41] Validation-cow=0.105623
Epoch[41] Validation-diningtable=0.194372
Epoch[41] Validation-dog=0.148031
Epoch[41] Validation-horse=0.273176
Epoch[41] Validation-motorbike=0.263510
Epoch[41] Validation-person=0.307037
Epoch[41] Validation-pottedplant=0.038030
Epoch[41] Validation-sheep=0.169426
Epoch[41] Validation-sofa=0.104357
Epoch[41] Validation-train=0.274844
Epoch[41] Validation-tvmonitor=0.226174
Epoch[41] Validation-mAP=0.189088
Epoch[42] Batch [20]	Speed: 159.52 samples/sec	CrossEntropy=0.971998	SmoothL1=0.440499
Epoch[42] Batch [40]	Speed: 163.83 samples/sec	CrossEntropy=0.953086	SmoothL1=0.457268
Epoch[42] Batch [60]	Speed: 163.59 samples/sec	CrossEntropy=0.968706	SmoothL1=0.431896
Epoch[42] Batch [80]	Speed: 161.86 samples/sec	CrossEntropy=0.952926	SmoothL1=0.445272
Epoch[42] Batch [100]	Speed: 162.52 samples/sec	CrossEntropy=0.953670	SmoothL1=0.438780
Epoch[42] Batch [120]	Speed: 163.19 samples/sec	CrossEntropy=0.940619	SmoothL1=0.432905
Epoch[42] Batch [140]	Speed: 161.13 samples/sec	CrossEntropy=0.956010	SmoothL1=0.429264
Epoch[42] Batch [160]	Speed: 161.96 samples/sec	CrossEntropy=0.949843	SmoothL1=0.433785
Epoch[42] Batch [180]	Speed: 162.62 samples/sec	CrossEntropy=0.943424	SmoothL1=0.430652
Epoch[42] Batch [200]	Speed: 161.63 samples/sec	CrossEntropy=0.951441	SmoothL1=0.417415
Epoch[42] Batch [220]	Speed: 161.98 samples/sec	CrossEntropy=0.953584	SmoothL1=0.428392
Epoch[42] Batch [240]	Speed: 163.28 samples/sec	CrossEntropy=0.940718	SmoothL1=0.422599
Epoch[42] Batch [260]	Speed: 164.16 samples/sec	CrossEntropy=0.952398	SmoothL1=0.445010
Epoch[42] Batch [280]	Speed: 163.16 samples/sec	CrossEntropy=0.955034	SmoothL1=0.442913
Epoch[42] Batch [300]	Speed: 163.16 samples/sec	CrossEntropy=0.962569	SmoothL1=0.450927
Epoch[42] Batch [320]	Speed: 161.30 samples/sec	CrossEntropy=0.940869	SmoothL1=0.423102
Epoch[42] Batch [340]	Speed: 160.36 samples/sec	CrossEntropy=0.941008	SmoothL1=0.428369
Epoch[42] Train-CrossEntropy=0.975425
Epoch[42] Train-SmoothL1=0.478960
Epoch[42] Time cost=101.855
Epoch[42] Validation-aeroplane=0.275006
Epoch[42] Validation-bicycle=0.125337
Epoch[42] Validation-bird=0.115626
Epoch[42] Validation-boat=0.103971
Epoch[42] Validation-bottle=0.090909
Epoch[42] Validation-bus=0.306017
Epoch[42] Validation-car=0.365053
Epoch[42] Validation-cat=0.250628
Epoch[42] Validation-chair=0.088241
Epoch[42] Validation-cow=0.065170
Epoch[42] Validation-diningtable=0.230934
Epoch[42] Validation-dog=0.122684
Epoch[42] Validation-horse=0.249437
Epoch[42] Validation-motorbike=0.243770
Epoch[42] Validation-person=0.332110
Epoch[42] Validation-pottedplant=0.092692
Epoch[42] Validation-sheep=0.185317
Epoch[42] Validation-sofa=0.142774
Epoch[42] Validation-train=0.253509
Epoch[42] Validation-tvmonitor=0.243617
Epoch[42] Validation-mAP=0.194140
Epoch[43] Batch [20]	Speed: 158.97 samples/sec	CrossEntropy=0.952831	SmoothL1=0.448243
Epoch[43] Batch [40]	Speed: 160.90 samples/sec	CrossEntropy=0.944705	SmoothL1=0.429140
Epoch[43] Batch [60]	Speed: 160.50 samples/sec	CrossEntropy=0.949332	SmoothL1=0.420100
Epoch[43] Batch [80]	Speed: 162.55 samples/sec	CrossEntropy=0.959564	SmoothL1=0.432965
Epoch[43] Batch [100]	Speed: 161.72 samples/sec	CrossEntropy=0.959476	SmoothL1=0.426537
Epoch[43] Batch [120]	Speed: 160.39 samples/sec	CrossEntropy=0.937437	SmoothL1=0.444837
Epoch[43] Batch [140]	Speed: 161.71 samples/sec	CrossEntropy=0.944683	SmoothL1=0.437419
Epoch[43] Batch [160]	Speed: 163.48 samples/sec	CrossEntropy=0.952109	SmoothL1=0.435900
Epoch[43] Batch [180]	Speed: 160.87 samples/sec	CrossEntropy=0.937543	SmoothL1=0.435928
Epoch[43] Batch [200]	Speed: 163.38 samples/sec	CrossEntropy=0.947654	SmoothL1=0.417898
Epoch[43] Batch [220]	Speed: 162.08 samples/sec	CrossEntropy=0.947590	SmoothL1=0.442780
Epoch[43] Batch [240]	Speed: 162.81 samples/sec	CrossEntropy=0.941730	SmoothL1=0.429967
Epoch[43] Batch [260]	Speed: 161.92 samples/sec	CrossEntropy=0.942662	SmoothL1=0.436074
Epoch[43] Batch [280]	Speed: 161.85 samples/sec	CrossEntropy=0.960298	SmoothL1=0.449736
Epoch[43] Batch [300]	Speed: 162.85 samples/sec	CrossEntropy=0.937634	SmoothL1=0.431141
Epoch[43] Batch [320]	Speed: 162.48 samples/sec	CrossEntropy=0.940793	SmoothL1=0.424940
Epoch[43] Batch [340]	Speed: 162.71 samples/sec	CrossEntropy=0.948194	SmoothL1=0.429071
Epoch[43] Train-CrossEntropy=0.940925
Epoch[43] Train-SmoothL1=0.449502
Epoch[43] Time cost=102.258
Epoch[43] Validation-aeroplane=0.293742
Epoch[43] Validation-bicycle=0.166723
Epoch[43] Validation-bird=0.060430
Epoch[43] Validation-boat=0.086620
Epoch[43] Validation-bottle=0.090909
Epoch[43] Validation-bus=0.320249
Epoch[43] Validation-car=0.386552
Epoch[43] Validation-cat=0.279275
Epoch[43] Validation-chair=0.071057
Epoch[43] Validation-cow=0.087654
Epoch[43] Validation-diningtable=0.219645
Epoch[43] Validation-dog=0.151274
Epoch[43] Validation-horse=0.307506
Epoch[43] Validation-motorbike=0.281702
Epoch[43] Validation-person=0.338735
Epoch[43] Validation-pottedplant=0.092974
Epoch[43] Validation-sheep=0.210221
Epoch[43] Validation-sofa=0.111254
Epoch[43] Validation-train=0.327140
Epoch[43] Validation-tvmonitor=0.231969
Epoch[43] Validation-mAP=0.205782
Epoch[44] Batch [20]	Speed: 146.35 samples/sec	CrossEntropy=0.950623	SmoothL1=0.440777
Epoch[44] Batch [40]	Speed: 160.50 samples/sec	CrossEntropy=0.937703	SmoothL1=0.436644
Epoch[44] Batch [60]	Speed: 164.46 samples/sec	CrossEntropy=0.962120	SmoothL1=0.445150
Epoch[44] Batch [80]	Speed: 163.05 samples/sec	CrossEntropy=0.934345	SmoothL1=0.433519
Epoch[44] Batch [100]	Speed: 163.20 samples/sec	CrossEntropy=0.930399	SmoothL1=0.431508
Epoch[44] Batch [120]	Speed: 161.27 samples/sec	CrossEntropy=0.930396	SmoothL1=0.439630
Epoch[44] Batch [140]	Speed: 161.22 samples/sec	CrossEntropy=0.951395	SmoothL1=0.448690
Epoch[44] Batch [160]	Speed: 161.39 samples/sec	CrossEntropy=0.941306	SmoothL1=0.429859
Epoch[44] Batch [180]	Speed: 161.49 samples/sec	CrossEntropy=0.933579	SmoothL1=0.428594
Epoch[44] Batch [200]	Speed: 163.61 samples/sec	CrossEntropy=0.934785	SmoothL1=0.422972
Epoch[44] Batch [220]	Speed: 161.15 samples/sec	CrossEntropy=0.934610	SmoothL1=0.438937
Epoch[44] Batch [240]	Speed: 162.87 samples/sec	CrossEntropy=0.953661	SmoothL1=0.427072
Epoch[44] Batch [260]	Speed: 161.03 samples/sec	CrossEntropy=0.948863	SmoothL1=0.442641
Epoch[44] Batch [280]	Speed: 162.33 samples/sec	CrossEntropy=0.930438	SmoothL1=0.445077
Epoch[44] Batch [300]	Speed: 163.07 samples/sec	CrossEntropy=0.952615	SmoothL1=0.433367
Epoch[44] Batch [320]	Speed: 161.98 samples/sec	CrossEntropy=0.935202	SmoothL1=0.418011
Epoch[44] Batch [340]	Speed: 165.65 samples/sec	CrossEntropy=0.949425	SmoothL1=0.422238
Epoch[44] Train-CrossEntropy=0.949766
Epoch[44] Train-SmoothL1=0.439331
Epoch[44] Time cost=102.481
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0045.params"
Epoch[44] Validation-aeroplane=0.288896
Epoch[44] Validation-bicycle=0.168583
Epoch[44] Validation-bird=0.051624
Epoch[44] Validation-boat=0.084093
Epoch[44] Validation-bottle=0.090909
Epoch[44] Validation-bus=0.288634
Epoch[44] Validation-car=0.385372
Epoch[44] Validation-cat=0.227268
Epoch[44] Validation-chair=0.084996
Epoch[44] Validation-cow=0.071307
Epoch[44] Validation-diningtable=0.212273
Epoch[44] Validation-dog=0.189141
Epoch[44] Validation-horse=0.254409
Epoch[44] Validation-motorbike=0.254229
Epoch[44] Validation-person=0.302231
Epoch[44] Validation-pottedplant=0.091804
Epoch[44] Validation-sheep=0.164527
Epoch[44] Validation-sofa=0.146125
Epoch[44] Validation-train=0.239594
Epoch[44] Validation-tvmonitor=0.245321
Epoch[44] Validation-mAP=0.192067
Epoch[45] Batch [20]	Speed: 155.53 samples/sec	CrossEntropy=0.946507	SmoothL1=0.426693
Epoch[45] Batch [40]	Speed: 161.23 samples/sec	CrossEntropy=0.936418	SmoothL1=0.422840
Epoch[45] Batch [60]	Speed: 159.38 samples/sec	CrossEntropy=0.948743	SmoothL1=0.428397
Epoch[45] Batch [80]	Speed: 163.33 samples/sec	CrossEntropy=0.928375	SmoothL1=0.427966
Epoch[45] Batch [100]	Speed: 161.76 samples/sec	CrossEntropy=0.942007	SmoothL1=0.422720
Epoch[45] Batch [120]	Speed: 161.40 samples/sec	CrossEntropy=0.927511	SmoothL1=0.437045
Epoch[45] Batch [140]	Speed: 162.15 samples/sec	CrossEntropy=0.942168	SmoothL1=0.423931
Epoch[45] Batch [160]	Speed: 161.48 samples/sec	CrossEntropy=0.944397	SmoothL1=0.425838
Epoch[45] Batch [180]	Speed: 162.59 samples/sec	CrossEntropy=0.927481	SmoothL1=0.416814
Epoch[45] Batch [200]	Speed: 161.15 samples/sec	CrossEntropy=0.931240	SmoothL1=0.412969
Epoch[45] Batch [220]	Speed: 162.15 samples/sec	CrossEntropy=0.935216	SmoothL1=0.425469
Epoch[45] Batch [240]	Speed: 163.85 samples/sec	CrossEntropy=0.936593	SmoothL1=0.445503
Epoch[45] Batch [260]	Speed: 162.04 samples/sec	CrossEntropy=0.947380	SmoothL1=0.437554
Epoch[45] Batch [280]	Speed: 160.89 samples/sec	CrossEntropy=0.938252	SmoothL1=0.435856
Epoch[45] Batch [300]	Speed: 162.42 samples/sec	CrossEntropy=0.938770	SmoothL1=0.435313
Epoch[45] Batch [320]	Speed: 163.56 samples/sec	CrossEntropy=0.932680	SmoothL1=0.413668
Epoch[45] Batch [340]	Speed: 165.63 samples/sec	CrossEntropy=0.941394	SmoothL1=0.425615
Epoch[45] Train-CrossEntropy=0.946129
Epoch[45] Train-SmoothL1=0.401250
Epoch[45] Time cost=101.931
Epoch[45] Validation-aeroplane=0.292138
Epoch[45] Validation-bicycle=0.205441
Epoch[45] Validation-bird=0.061702
Epoch[45] Validation-boat=0.100442
Epoch[45] Validation-bottle=0.090909
Epoch[45] Validation-bus=0.336027
Epoch[45] Validation-car=0.394106
Epoch[45] Validation-cat=0.265966
Epoch[45] Validation-chair=0.073308
Epoch[45] Validation-cow=0.085017
Epoch[45] Validation-diningtable=0.226088
Epoch[45] Validation-dog=0.194727
Epoch[45] Validation-horse=0.265767
Epoch[45] Validation-motorbike=0.288436
Epoch[45] Validation-person=0.353250
Epoch[45] Validation-pottedplant=0.093276
Epoch[45] Validation-sheep=0.195867
Epoch[45] Validation-sofa=0.138878
Epoch[45] Validation-train=0.282744
Epoch[45] Validation-tvmonitor=0.230399
Epoch[45] Validation-mAP=0.208725
Epoch[46] Batch [20]	Speed: 157.62 samples/sec	CrossEntropy=0.947607	SmoothL1=0.442172
Epoch[46] Batch [40]	Speed: 162.43 samples/sec	CrossEntropy=0.924494	SmoothL1=0.427363
Epoch[46] Batch [60]	Speed: 162.25 samples/sec	CrossEntropy=0.958171	SmoothL1=0.440319
Epoch[46] Batch [80]	Speed: 162.69 samples/sec	CrossEntropy=0.935474	SmoothL1=0.425550
Epoch[46] Batch [100]	Speed: 163.60 samples/sec	CrossEntropy=0.952706	SmoothL1=0.426066
Epoch[46] Batch [120]	Speed: 162.57 samples/sec	CrossEntropy=0.926753	SmoothL1=0.430401
Epoch[46] Batch [140]	Speed: 162.44 samples/sec	CrossEntropy=0.931984	SmoothL1=0.430031
Epoch[46] Batch [160]	Speed: 162.93 samples/sec	CrossEntropy=0.940346	SmoothL1=0.442615
Epoch[46] Batch [180]	Speed: 163.30 samples/sec	CrossEntropy=0.925882	SmoothL1=0.436078
Epoch[46] Batch [200]	Speed: 162.96 samples/sec	CrossEntropy=0.932524	SmoothL1=0.426589
Epoch[46] Batch [220]	Speed: 162.28 samples/sec	CrossEntropy=0.934295	SmoothL1=0.408823
Epoch[46] Batch [240]	Speed: 161.87 samples/sec	CrossEntropy=0.933369	SmoothL1=0.428735
Epoch[46] Batch [260]	Speed: 163.37 samples/sec	CrossEntropy=0.935603	SmoothL1=0.439517
Epoch[46] Batch [280]	Speed: 161.58 samples/sec	CrossEntropy=0.922142	SmoothL1=0.444518
Epoch[46] Batch [300]	Speed: 163.10 samples/sec	CrossEntropy=0.950708	SmoothL1=0.444830
Epoch[46] Batch [320]	Speed: 162.52 samples/sec	CrossEntropy=0.932760	SmoothL1=0.405255
Epoch[46] Batch [340]	Speed: 163.72 samples/sec	CrossEntropy=0.944043	SmoothL1=0.420765
Epoch[46] Train-CrossEntropy=0.942509
Epoch[46] Train-SmoothL1=0.435097
Epoch[46] Time cost=101.779
Epoch[46] Validation-aeroplane=0.303270
Epoch[46] Validation-bicycle=0.200615
Epoch[46] Validation-bird=0.072905
Epoch[46] Validation-boat=0.109808
Epoch[46] Validation-bottle=0.090909
Epoch[46] Validation-bus=0.346379
Epoch[46] Validation-car=0.408688
Epoch[46] Validation-cat=0.290850
Epoch[46] Validation-chair=0.081061
Epoch[46] Validation-cow=0.081497
Epoch[46] Validation-diningtable=0.240846
Epoch[46] Validation-dog=0.233482
Epoch[46] Validation-horse=0.283002
Epoch[46] Validation-motorbike=0.301810
Epoch[46] Validation-person=0.348276
Epoch[46] Validation-pottedplant=0.047219
Epoch[46] Validation-sheep=0.194223
Epoch[46] Validation-sofa=0.158006
Epoch[46] Validation-train=0.334579
Epoch[46] Validation-tvmonitor=0.230161
Epoch[46] Validation-mAP=0.217879
Epoch[47] Batch [20]	Speed: 157.70 samples/sec	CrossEntropy=0.933887	SmoothL1=0.433683
Epoch[47] Batch [40]	Speed: 162.35 samples/sec	CrossEntropy=0.934328	SmoothL1=0.423214
Epoch[47] Batch [60]	Speed: 161.85 samples/sec	CrossEntropy=0.944284	SmoothL1=0.415004
Epoch[47] Batch [80]	Speed: 163.14 samples/sec	CrossEntropy=0.936154	SmoothL1=0.436953
Epoch[47] Batch [100]	Speed: 161.25 samples/sec	CrossEntropy=0.929061	SmoothL1=0.415842
Epoch[47] Batch [120]	Speed: 163.06 samples/sec	CrossEntropy=0.937664	SmoothL1=0.419396
Epoch[47] Batch [140]	Speed: 162.51 samples/sec	CrossEntropy=0.930975	SmoothL1=0.437862
Epoch[47] Batch [160]	Speed: 162.13 samples/sec	CrossEntropy=0.933723	SmoothL1=0.411627
Epoch[47] Batch [180]	Speed: 160.35 samples/sec	CrossEntropy=0.929274	SmoothL1=0.426281
Epoch[47] Batch [200]	Speed: 162.96 samples/sec	CrossEntropy=0.928266	SmoothL1=0.415050
Epoch[47] Batch [220]	Speed: 163.71 samples/sec	CrossEntropy=0.930610	SmoothL1=0.416263
Epoch[47] Batch [240]	Speed: 162.73 samples/sec	CrossEntropy=0.933926	SmoothL1=0.431183
Epoch[47] Batch [260]	Speed: 164.04 samples/sec	CrossEntropy=0.942962	SmoothL1=0.429720
Epoch[47] Batch [280]	Speed: 162.67 samples/sec	CrossEntropy=0.912774	SmoothL1=0.437703
Epoch[47] Batch [300]	Speed: 162.14 samples/sec	CrossEntropy=0.944489	SmoothL1=0.429236
Epoch[47] Batch [320]	Speed: 164.09 samples/sec	CrossEntropy=0.928652	SmoothL1=0.417184
Epoch[47] Batch [340]	Speed: 165.28 samples/sec	CrossEntropy=0.927659	SmoothL1=0.426961
Epoch[47] Train-CrossEntropy=0.939553
Epoch[47] Train-SmoothL1=0.421446
Epoch[47] Time cost=101.777
Epoch[47] Validation-aeroplane=0.292949
Epoch[47] Validation-bicycle=0.253094
Epoch[47] Validation-bird=0.100525
Epoch[47] Validation-boat=0.109445
Epoch[47] Validation-bottle=0.090909
Epoch[47] Validation-bus=0.348449
Epoch[47] Validation-car=0.408063
Epoch[47] Validation-cat=0.278184
Epoch[47] Validation-chair=0.096935
Epoch[47] Validation-cow=0.060639
Epoch[47] Validation-diningtable=0.234782
Epoch[47] Validation-dog=0.199677
Epoch[47] Validation-horse=0.348656
Epoch[47] Validation-motorbike=0.322600
Epoch[47] Validation-person=0.341310
Epoch[47] Validation-pottedplant=0.093865
Epoch[47] Validation-sheep=0.180075
Epoch[47] Validation-sofa=0.159810
Epoch[47] Validation-train=0.383361
Epoch[47] Validation-tvmonitor=0.238019
Epoch[47] Validation-mAP=0.227067
Epoch[48] Batch [20]	Speed: 159.54 samples/sec	CrossEntropy=0.937944	SmoothL1=0.423247
Epoch[48] Batch [40]	Speed: 162.65 samples/sec	CrossEntropy=0.917984	SmoothL1=0.428343
Epoch[48] Batch [60]	Speed: 161.39 samples/sec	CrossEntropy=0.942169	SmoothL1=0.428597
Epoch[48] Batch [80]	Speed: 163.58 samples/sec	CrossEntropy=0.922097	SmoothL1=0.421682
Epoch[48] Batch [100]	Speed: 163.39 samples/sec	CrossEntropy=0.920053	SmoothL1=0.415280
Epoch[48] Batch [120]	Speed: 163.10 samples/sec	CrossEntropy=0.911424	SmoothL1=0.436667
Epoch[48] Batch [140]	Speed: 164.64 samples/sec	CrossEntropy=0.931122	SmoothL1=0.416979
Epoch[48] Batch [160]	Speed: 161.68 samples/sec	CrossEntropy=0.924479	SmoothL1=0.422672
Epoch[48] Batch [180]	Speed: 162.51 samples/sec	CrossEntropy=0.916239	SmoothL1=0.426097
Epoch[48] Batch [200]	Speed: 160.15 samples/sec	CrossEntropy=0.925725	SmoothL1=0.425256
Epoch[48] Batch [220]	Speed: 161.59 samples/sec	CrossEntropy=0.916610	SmoothL1=0.424581
Epoch[48] Batch [240]	Speed: 162.98 samples/sec	CrossEntropy=0.919040	SmoothL1=0.426412
Epoch[48] Batch [260]	Speed: 163.24 samples/sec	CrossEntropy=0.930317	SmoothL1=0.437440
Epoch[48] Batch [280]	Speed: 161.74 samples/sec	CrossEntropy=0.917647	SmoothL1=0.434525
Epoch[48] Batch [300]	Speed: 161.27 samples/sec	CrossEntropy=0.921154	SmoothL1=0.430521
Epoch[48] Batch [320]	Speed: 160.77 samples/sec	CrossEntropy=0.919206	SmoothL1=0.422060
Epoch[48] Batch [340]	Speed: 165.80 samples/sec	CrossEntropy=0.947419	SmoothL1=0.434864
Epoch[48] Train-CrossEntropy=0.931004
Epoch[48] Train-SmoothL1=0.436697
Epoch[48] Time cost=101.819
Epoch[48] Validation-aeroplane=0.283550
Epoch[48] Validation-bicycle=0.254421
Epoch[48] Validation-bird=0.082845
Epoch[48] Validation-boat=0.111388
Epoch[48] Validation-bottle=0.090909
Epoch[48] Validation-bus=0.346045
Epoch[48] Validation-car=0.401458
Epoch[48] Validation-cat=0.279608
Epoch[48] Validation-chair=0.090563
Epoch[48] Validation-cow=0.101907
Epoch[48] Validation-diningtable=0.233868
Epoch[48] Validation-dog=0.226004
Epoch[48] Validation-horse=0.320596
Epoch[48] Validation-motorbike=0.294617
Epoch[48] Validation-person=0.339981
Epoch[48] Validation-pottedplant=0.039074
Epoch[48] Validation-sheep=0.216075
Epoch[48] Validation-sofa=0.174205
Epoch[48] Validation-train=0.370430
Epoch[48] Validation-tvmonitor=0.238935
Epoch[48] Validation-mAP=0.224824
Epoch[49] Batch [20]	Speed: 158.38 samples/sec	CrossEntropy=0.934015	SmoothL1=0.422193
Epoch[49] Batch [40]	Speed: 162.76 samples/sec	CrossEntropy=0.904912	SmoothL1=0.408953
Epoch[49] Batch [60]	Speed: 162.65 samples/sec	CrossEntropy=0.921616	SmoothL1=0.419234
Epoch[49] Batch [80]	Speed: 163.86 samples/sec	CrossEntropy=0.919588	SmoothL1=0.432340
Epoch[49] Batch [100]	Speed: 163.72 samples/sec	CrossEntropy=0.926250	SmoothL1=0.426068
Epoch[49] Batch [120]	Speed: 164.52 samples/sec	CrossEntropy=0.920008	SmoothL1=0.431158
Epoch[49] Batch [140]	Speed: 156.88 samples/sec	CrossEntropy=0.924190	SmoothL1=0.425098
Epoch[49] Batch [160]	Speed: 160.40 samples/sec	CrossEntropy=0.916310	SmoothL1=0.408268
Epoch[49] Batch [180]	Speed: 163.32 samples/sec	CrossEntropy=0.897717	SmoothL1=0.400179
Epoch[49] Batch [200]	Speed: 161.58 samples/sec	CrossEntropy=0.923649	SmoothL1=0.414825
Epoch[49] Batch [220]	Speed: 162.27 samples/sec	CrossEntropy=0.922311	SmoothL1=0.435169
Epoch[49] Batch [240]	Speed: 163.05 samples/sec	CrossEntropy=0.921441	SmoothL1=0.419565
Epoch[49] Batch [260]	Speed: 163.43 samples/sec	CrossEntropy=0.922082	SmoothL1=0.435386
Epoch[49] Batch [280]	Speed: 162.04 samples/sec	CrossEntropy=0.912274	SmoothL1=0.433958
Epoch[49] Batch [300]	Speed: 163.88 samples/sec	CrossEntropy=0.928326	SmoothL1=0.435416
Epoch[49] Batch [320]	Speed: 161.45 samples/sec	CrossEntropy=0.912025	SmoothL1=0.406101
Epoch[49] Batch [340]	Speed: 165.92 samples/sec	CrossEntropy=0.927298	SmoothL1=0.408836
Epoch[49] Train-CrossEntropy=0.924213
Epoch[49] Train-SmoothL1=0.408424
Epoch[49] Time cost=101.837
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0050.params"
Epoch[49] Validation-aeroplane=0.312800
Epoch[49] Validation-bicycle=0.255850
Epoch[49] Validation-bird=0.095958
Epoch[49] Validation-boat=0.122217
Epoch[49] Validation-bottle=0.090909
Epoch[49] Validation-bus=0.333881
Epoch[49] Validation-car=0.422479
Epoch[49] Validation-cat=0.278013
Epoch[49] Validation-chair=0.126534
Epoch[49] Validation-cow=0.106336
Epoch[49] Validation-diningtable=0.235010
Epoch[49] Validation-dog=0.234291
Epoch[49] Validation-horse=0.299583
Epoch[49] Validation-motorbike=0.322057
Epoch[49] Validation-person=0.356539
Epoch[49] Validation-pottedplant=0.094958
Epoch[49] Validation-sheep=0.208127
Epoch[49] Validation-sofa=0.146556
Epoch[49] Validation-train=0.355262
Epoch[49] Validation-tvmonitor=0.228400
Epoch[49] Validation-mAP=0.231288
Epoch[50] Batch [20]	Speed: 156.88 samples/sec	CrossEntropy=0.939665	SmoothL1=0.425021
Epoch[50] Batch [40]	Speed: 160.64 samples/sec	CrossEntropy=0.916249	SmoothL1=0.422230
Epoch[50] Batch [60]	Speed: 161.89 samples/sec	CrossEntropy=0.932607	SmoothL1=0.411271
Epoch[50] Batch [80]	Speed: 163.12 samples/sec	CrossEntropy=0.906917	SmoothL1=0.422145
Epoch[50] Batch [100]	Speed: 163.51 samples/sec	CrossEntropy=0.917166	SmoothL1=0.427584
Epoch[50] Batch [120]	Speed: 161.90 samples/sec	CrossEntropy=0.926717	SmoothL1=0.427555
Epoch[50] Batch [140]	Speed: 162.53 samples/sec	CrossEntropy=0.916002	SmoothL1=0.410124
Epoch[50] Batch [160]	Speed: 163.03 samples/sec	CrossEntropy=0.922181	SmoothL1=0.412523
Epoch[50] Batch [180]	Speed: 162.89 samples/sec	CrossEntropy=0.912238	SmoothL1=0.411647
Epoch[50] Batch [200]	Speed: 163.42 samples/sec	CrossEntropy=0.914707	SmoothL1=0.411270
Epoch[50] Batch [220]	Speed: 157.16 samples/sec	CrossEntropy=0.896149	SmoothL1=0.399195
Epoch[50] Batch [240]	Speed: 158.76 samples/sec	CrossEntropy=0.926894	SmoothL1=0.413369
Epoch[50] Batch [260]	Speed: 162.80 samples/sec	CrossEntropy=0.916208	SmoothL1=0.424058
Epoch[50] Batch [280]	Speed: 163.38 samples/sec	CrossEntropy=0.923494	SmoothL1=0.423707
Epoch[50] Batch [300]	Speed: 162.72 samples/sec	CrossEntropy=0.928367	SmoothL1=0.430795
Epoch[50] Batch [320]	Speed: 163.43 samples/sec	CrossEntropy=0.909953	SmoothL1=0.410238
Epoch[50] Batch [340]	Speed: 166.11 samples/sec	CrossEntropy=0.925371	SmoothL1=0.405487
Epoch[50] Train-CrossEntropy=0.958713
Epoch[50] Train-SmoothL1=0.428376
Epoch[50] Time cost=101.763
Epoch[50] Validation-aeroplane=0.307575
Epoch[50] Validation-bicycle=0.280661
Epoch[50] Validation-bird=0.134865
Epoch[50] Validation-boat=0.129420
Epoch[50] Validation-bottle=0.090909
Epoch[50] Validation-bus=0.351973
Epoch[50] Validation-car=0.411691
Epoch[50] Validation-cat=0.285688
Epoch[50] Validation-chair=0.080011
Epoch[50] Validation-cow=0.081748
Epoch[50] Validation-diningtable=0.228319
Epoch[50] Validation-dog=0.182179
Epoch[50] Validation-horse=0.352074
Epoch[50] Validation-motorbike=0.332075
Epoch[50] Validation-person=0.367291
Epoch[50] Validation-pottedplant=0.096503
Epoch[50] Validation-sheep=0.201337
Epoch[50] Validation-sofa=0.170641
Epoch[50] Validation-train=0.344770
Epoch[50] Validation-tvmonitor=0.250156
Epoch[50] Validation-mAP=0.233994
Epoch[51] Batch [20]	Speed: 157.30 samples/sec	CrossEntropy=0.917188	SmoothL1=0.418519
Epoch[51] Batch [40]	Speed: 162.28 samples/sec	CrossEntropy=0.912348	SmoothL1=0.414090
Epoch[51] Batch [60]	Speed: 163.25 samples/sec	CrossEntropy=0.920159	SmoothL1=0.433347
Epoch[51] Batch [80]	Speed: 161.90 samples/sec	CrossEntropy=0.904151	SmoothL1=0.412342
Epoch[51] Batch [100]	Speed: 160.99 samples/sec	CrossEntropy=0.925151	SmoothL1=0.407179
Epoch[51] Batch [120]	Speed: 160.21 samples/sec	CrossEntropy=0.906333	SmoothL1=0.439727
Epoch[51] Batch [140]	Speed: 161.82 samples/sec	CrossEntropy=0.915220	SmoothL1=0.427853
Epoch[51] Batch [160]	Speed: 161.64 samples/sec	CrossEntropy=0.915627	SmoothL1=0.428424
Epoch[51] Batch [180]	Speed: 163.12 samples/sec	CrossEntropy=0.906420	SmoothL1=0.421350
Epoch[51] Batch [200]	Speed: 159.29 samples/sec	CrossEntropy=0.908506	SmoothL1=0.402708
Epoch[51] Batch [220]	Speed: 161.31 samples/sec	CrossEntropy=0.909104	SmoothL1=0.412386
Epoch[51] Batch [240]	Speed: 162.60 samples/sec	CrossEntropy=0.916120	SmoothL1=0.412492
Epoch[51] Batch [260]	Speed: 162.69 samples/sec	CrossEntropy=0.917955	SmoothL1=0.421432
Epoch[51] Batch [280]	Speed: 162.10 samples/sec	CrossEntropy=0.904540	SmoothL1=0.427654
Epoch[51] Batch [300]	Speed: 161.51 samples/sec	CrossEntropy=0.912170	SmoothL1=0.421353
Epoch[51] Batch [320]	Speed: 163.20 samples/sec	CrossEntropy=0.918844	SmoothL1=0.409805
Epoch[51] Batch [340]	Speed: 163.17 samples/sec	CrossEntropy=0.907403	SmoothL1=0.419375
Epoch[51] Train-CrossEntropy=0.919756
Epoch[51] Train-SmoothL1=0.449335
Epoch[51] Time cost=102.250
Epoch[51] Validation-aeroplane=0.337300
Epoch[51] Validation-bicycle=0.317159
Epoch[51] Validation-bird=0.129238
Epoch[51] Validation-boat=0.135596
Epoch[51] Validation-bottle=0.090909
Epoch[51] Validation-bus=0.362339
Epoch[51] Validation-car=0.422579
Epoch[51] Validation-cat=0.284078
Epoch[51] Validation-chair=0.091406
Epoch[51] Validation-cow=0.086508
Epoch[51] Validation-diningtable=0.225551
Epoch[51] Validation-dog=0.240338
Epoch[51] Validation-horse=0.361541
Epoch[51] Validation-motorbike=0.322279
Epoch[51] Validation-person=0.371695
Epoch[51] Validation-pottedplant=0.093517
Epoch[51] Validation-sheep=0.189859
Epoch[51] Validation-sofa=0.166831
Epoch[51] Validation-train=0.366960
Epoch[51] Validation-tvmonitor=0.233164
Epoch[51] Validation-mAP=0.241442
Epoch[52] Batch [20]	Speed: 158.57 samples/sec	CrossEntropy=0.925071	SmoothL1=0.430486
Epoch[52] Batch [40]	Speed: 160.99 samples/sec	CrossEntropy=0.897719	SmoothL1=0.417539
Epoch[52] Batch [60]	Speed: 163.65 samples/sec	CrossEntropy=0.905417	SmoothL1=0.411915
Epoch[52] Batch [80]	Speed: 161.51 samples/sec	CrossEntropy=0.910207	SmoothL1=0.413082
Epoch[52] Batch [100]	Speed: 162.86 samples/sec	CrossEntropy=0.910811	SmoothL1=0.418489
Epoch[52] Batch [120]	Speed: 160.20 samples/sec	CrossEntropy=0.912055	SmoothL1=0.429752
Epoch[52] Batch [140]	Speed: 164.41 samples/sec	CrossEntropy=0.907171	SmoothL1=0.413442
Epoch[52] Batch [160]	Speed: 162.59 samples/sec	CrossEntropy=0.917957	SmoothL1=0.421696
Epoch[52] Batch [180]	Speed: 162.72 samples/sec	CrossEntropy=0.897595	SmoothL1=0.414701
Epoch[52] Batch [200]	Speed: 161.95 samples/sec	CrossEntropy=0.906603	SmoothL1=0.401899
Epoch[52] Batch [220]	Speed: 164.02 samples/sec	CrossEntropy=0.910254	SmoothL1=0.409403
Epoch[52] Batch [240]	Speed: 163.99 samples/sec	CrossEntropy=0.908251	SmoothL1=0.418636
Epoch[52] Batch [260]	Speed: 162.04 samples/sec	CrossEntropy=0.896644	SmoothL1=0.420115
Epoch[52] Batch [280]	Speed: 162.42 samples/sec	CrossEntropy=0.911005	SmoothL1=0.419660
Epoch[52] Batch [300]	Speed: 163.02 samples/sec	CrossEntropy=0.910325	SmoothL1=0.419221
Epoch[52] Batch [320]	Speed: 163.98 samples/sec	CrossEntropy=0.909945	SmoothL1=0.413639
Epoch[52] Batch [340]	Speed: 165.32 samples/sec	CrossEntropy=0.913471	SmoothL1=0.407511
Epoch[52] Train-CrossEntropy=0.959151
Epoch[52] Train-SmoothL1=0.424007
Epoch[52] Time cost=101.695
Epoch[52] Validation-aeroplane=0.316661
Epoch[52] Validation-bicycle=0.236111
Epoch[52] Validation-bird=0.097751
Epoch[52] Validation-boat=0.143198
Epoch[52] Validation-bottle=0.090909
Epoch[52] Validation-bus=0.345971
Epoch[52] Validation-car=0.427553
Epoch[52] Validation-cat=0.300196
Epoch[52] Validation-chair=0.110994
Epoch[52] Validation-cow=0.132977
Epoch[52] Validation-diningtable=0.212467
Epoch[52] Validation-dog=0.210738
Epoch[52] Validation-horse=0.319998
Epoch[52] Validation-motorbike=0.293700
Epoch[52] Validation-person=0.367239
Epoch[52] Validation-pottedplant=0.093741
Epoch[52] Validation-sheep=0.224104
Epoch[52] Validation-sofa=0.168426
Epoch[52] Validation-train=0.347694
Epoch[52] Validation-tvmonitor=0.263991
Epoch[52] Validation-mAP=0.235221
Epoch[53] Batch [20]	Speed: 156.96 samples/sec	CrossEntropy=0.917981	SmoothL1=0.417902
Epoch[53] Batch [40]	Speed: 164.32 samples/sec	CrossEntropy=0.903675	SmoothL1=0.401514
Epoch[53] Batch [60]	Speed: 162.14 samples/sec	CrossEntropy=0.918370	SmoothL1=0.411092
Epoch[53] Batch [80]	Speed: 161.80 samples/sec	CrossEntropy=0.906221	SmoothL1=0.403029
Epoch[53] Batch [100]	Speed: 164.05 samples/sec	CrossEntropy=0.903195	SmoothL1=0.413310
Epoch[53] Batch [120]	Speed: 161.11 samples/sec	CrossEntropy=0.905316	SmoothL1=0.414906
Epoch[53] Batch [140]	Speed: 162.06 samples/sec	CrossEntropy=0.901338	SmoothL1=0.430286
Epoch[53] Batch [160]	Speed: 162.92 samples/sec	CrossEntropy=0.903280	SmoothL1=0.420045
Epoch[53] Batch [180]	Speed: 162.70 samples/sec	CrossEntropy=0.903242	SmoothL1=0.420931
Epoch[53] Batch [200]	Speed: 163.26 samples/sec	CrossEntropy=0.899511	SmoothL1=0.411354
Epoch[53] Batch [220]	Speed: 163.09 samples/sec	CrossEntropy=0.899270	SmoothL1=0.410395
Epoch[53] Batch [240]	Speed: 162.27 samples/sec	CrossEntropy=0.902404	SmoothL1=0.399706
Epoch[53] Batch [260]	Speed: 161.19 samples/sec	CrossEntropy=0.909412	SmoothL1=0.427384
Epoch[53] Batch [280]	Speed: 162.07 samples/sec	CrossEntropy=0.897193	SmoothL1=0.431693
Epoch[53] Batch [300]	Speed: 162.61 samples/sec	CrossEntropy=0.900506	SmoothL1=0.414268
Epoch[53] Batch [320]	Speed: 160.04 samples/sec	CrossEntropy=0.901842	SmoothL1=0.404933
Epoch[53] Batch [340]	Speed: 165.73 samples/sec	CrossEntropy=0.897246	SmoothL1=0.418091
Epoch[53] Train-CrossEntropy=0.911354
Epoch[53] Train-SmoothL1=0.397354
Epoch[53] Time cost=101.898
Epoch[53] Validation-aeroplane=0.323236
Epoch[53] Validation-bicycle=0.314400
Epoch[53] Validation-bird=0.131573
Epoch[53] Validation-boat=0.124749
Epoch[53] Validation-bottle=0.068182
Epoch[53] Validation-bus=0.355647
Epoch[53] Validation-car=0.432900
Epoch[53] Validation-cat=0.323879
Epoch[53] Validation-chair=0.125678
Epoch[53] Validation-cow=0.081263
Epoch[53] Validation-diningtable=0.253795
Epoch[53] Validation-dog=0.222378
Epoch[53] Validation-horse=0.404056
Epoch[53] Validation-motorbike=0.343665
Epoch[53] Validation-person=0.370372
Epoch[53] Validation-pottedplant=0.098374
Epoch[53] Validation-sheep=0.221069
Epoch[53] Validation-sofa=0.179008
Epoch[53] Validation-train=0.361348
Epoch[53] Validation-tvmonitor=0.242091
Epoch[53] Validation-mAP=0.248883
Epoch[54] Batch [20]	Speed: 156.93 samples/sec	CrossEntropy=0.900890	SmoothL1=0.417645
Epoch[54] Batch [40]	Speed: 162.07 samples/sec	CrossEntropy=0.889092	SmoothL1=0.416221
Epoch[54] Batch [60]	Speed: 161.82 samples/sec	CrossEntropy=0.913190	SmoothL1=0.409780
Epoch[54] Batch [80]	Speed: 160.66 samples/sec	CrossEntropy=0.907621	SmoothL1=0.415700
Epoch[54] Batch [100]	Speed: 162.67 samples/sec	CrossEntropy=0.894508	SmoothL1=0.401510
Epoch[54] Batch [120]	Speed: 160.76 samples/sec	CrossEntropy=0.890199	SmoothL1=0.429618
Epoch[54] Batch [140]	Speed: 161.46 samples/sec	CrossEntropy=0.900174	SmoothL1=0.420196
Epoch[54] Batch [160]	Speed: 164.61 samples/sec	CrossEntropy=0.894856	SmoothL1=0.404699
Epoch[54] Batch [180]	Speed: 161.01 samples/sec	CrossEntropy=0.900804	SmoothL1=0.410305
Epoch[54] Batch [200]	Speed: 161.36 samples/sec	CrossEntropy=0.893738	SmoothL1=0.412926
Epoch[54] Batch [220]	Speed: 162.41 samples/sec	CrossEntropy=0.897157	SmoothL1=0.413236
Epoch[54] Batch [240]	Speed: 163.01 samples/sec	CrossEntropy=0.905414	SmoothL1=0.413528
Epoch[54] Batch [260]	Speed: 160.17 samples/sec	CrossEntropy=0.897407	SmoothL1=0.416711
Epoch[54] Batch [280]	Speed: 162.74 samples/sec	CrossEntropy=0.892519	SmoothL1=0.419019
Epoch[54] Batch [300]	Speed: 161.86 samples/sec	CrossEntropy=0.909198	SmoothL1=0.413131
Epoch[54] Batch [320]	Speed: 162.74 samples/sec	CrossEntropy=0.906845	SmoothL1=0.414421
Epoch[54] Batch [340]	Speed: 161.16 samples/sec	CrossEntropy=0.899186	SmoothL1=0.406414
Epoch[54] Train-CrossEntropy=0.918276
Epoch[54] Train-SmoothL1=0.411384
Epoch[54] Time cost=102.317
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0055.params"
Epoch[54] Validation-aeroplane=0.326829
Epoch[54] Validation-bicycle=0.292283
Epoch[54] Validation-bird=0.131442
Epoch[54] Validation-boat=0.114179
Epoch[54] Validation-bottle=0.090909
Epoch[54] Validation-bus=0.358574
Epoch[54] Validation-car=0.429289
Epoch[54] Validation-cat=0.299350
Epoch[54] Validation-chair=0.129859
Epoch[54] Validation-cow=0.157595
Epoch[54] Validation-diningtable=0.216172
Epoch[54] Validation-dog=0.250086
Epoch[54] Validation-horse=0.381217
Epoch[54] Validation-motorbike=0.347723
Epoch[54] Validation-person=0.396482
Epoch[54] Validation-pottedplant=0.095917
Epoch[54] Validation-sheep=0.205619
Epoch[54] Validation-sofa=0.203024
Epoch[54] Validation-train=0.367811
Epoch[54] Validation-tvmonitor=0.275598
Epoch[54] Validation-mAP=0.253498
Epoch[55] Batch [20]	Speed: 156.88 samples/sec	CrossEntropy=0.909760	SmoothL1=0.413531
Epoch[55] Batch [40]	Speed: 160.48 samples/sec	CrossEntropy=0.894841	SmoothL1=0.404279
Epoch[55] Batch [60]	Speed: 162.18 samples/sec	CrossEntropy=0.907326	SmoothL1=0.400205
Epoch[55] Batch [80]	Speed: 162.81 samples/sec	CrossEntropy=0.896027	SmoothL1=0.418788
Epoch[55] Batch [100]	Speed: 163.92 samples/sec	CrossEntropy=0.891544	SmoothL1=0.402057
Epoch[55] Batch [120]	Speed: 161.93 samples/sec	CrossEntropy=0.883732	SmoothL1=0.411359
Epoch[55] Batch [140]	Speed: 160.87 samples/sec	CrossEntropy=0.895547	SmoothL1=0.398885
Epoch[55] Batch [160]	Speed: 160.53 samples/sec	CrossEntropy=0.902884	SmoothL1=0.419034
Epoch[55] Batch [180]	Speed: 160.63 samples/sec	CrossEntropy=0.894639	SmoothL1=0.410198
Epoch[55] Batch [200]	Speed: 159.65 samples/sec	CrossEntropy=0.898899	SmoothL1=0.403257
Epoch[55] Batch [220]	Speed: 163.77 samples/sec	CrossEntropy=0.895728	SmoothL1=0.388546
Epoch[55] Batch [240]	Speed: 161.75 samples/sec	CrossEntropy=0.903416	SmoothL1=0.418351
Epoch[55] Batch [260]	Speed: 159.54 samples/sec	CrossEntropy=0.894887	SmoothL1=0.417426
Epoch[55] Batch [280]	Speed: 164.63 samples/sec	CrossEntropy=0.891362	SmoothL1=0.418816
Epoch[55] Batch [300]	Speed: 162.46 samples/sec	CrossEntropy=0.899033	SmoothL1=0.420558
Epoch[55] Batch [320]	Speed: 163.07 samples/sec	CrossEntropy=0.892541	SmoothL1=0.401166
Epoch[55] Batch [340]	Speed: 167.73 samples/sec	CrossEntropy=0.911604	SmoothL1=0.419800
Epoch[55] Train-CrossEntropy=0.908683
Epoch[55] Train-SmoothL1=0.409385
Epoch[55] Time cost=101.802
Epoch[55] Validation-aeroplane=0.348068
Epoch[55] Validation-bicycle=0.263303
Epoch[55] Validation-bird=0.132611
Epoch[55] Validation-boat=0.128912
Epoch[55] Validation-bottle=0.090909
Epoch[55] Validation-bus=0.387665
Epoch[55] Validation-car=0.428180
Epoch[55] Validation-cat=0.300626
Epoch[55] Validation-chair=0.135490
Epoch[55] Validation-cow=0.087380
Epoch[55] Validation-diningtable=0.223722
Epoch[55] Validation-dog=0.211481
Epoch[55] Validation-horse=0.365515
Epoch[55] Validation-motorbike=0.322179
Epoch[55] Validation-person=0.366066
Epoch[55] Validation-pottedplant=0.070294
Epoch[55] Validation-sheep=0.237761
Epoch[55] Validation-sofa=0.193577
Epoch[55] Validation-train=0.399763
Epoch[55] Validation-tvmonitor=0.258694
Epoch[55] Validation-mAP=0.247610
Epoch[56] Batch [20]	Speed: 157.95 samples/sec	CrossEntropy=0.901055	SmoothL1=0.418250
Epoch[56] Batch [40]	Speed: 164.10 samples/sec	CrossEntropy=0.908425	SmoothL1=0.415812
Epoch[56] Batch [60]	Speed: 165.20 samples/sec	CrossEntropy=0.903744	SmoothL1=0.409313
Epoch[56] Batch [80]	Speed: 162.29 samples/sec	CrossEntropy=0.904681	SmoothL1=0.412078
Epoch[56] Batch [100]	Speed: 160.44 samples/sec	CrossEntropy=0.902493	SmoothL1=0.408642
Epoch[56] Batch [120]	Speed: 162.01 samples/sec	CrossEntropy=0.885213	SmoothL1=0.415347
Epoch[56] Batch [140]	Speed: 163.60 samples/sec	CrossEntropy=0.888505	SmoothL1=0.418077
Epoch[56] Batch [160]	Speed: 164.20 samples/sec	CrossEntropy=0.896165	SmoothL1=0.409279
Epoch[56] Batch [180]	Speed: 162.37 samples/sec	CrossEntropy=0.884459	SmoothL1=0.421405
Epoch[56] Batch [200]	Speed: 165.30 samples/sec	CrossEntropy=0.890262	SmoothL1=0.394165
Epoch[56] Batch [220]	Speed: 162.75 samples/sec	CrossEntropy=0.873531	SmoothL1=0.405235
Epoch[56] Batch [240]	Speed: 161.42 samples/sec	CrossEntropy=0.885193	SmoothL1=0.407961
Epoch[56] Batch [260]	Speed: 161.39 samples/sec	CrossEntropy=0.896230	SmoothL1=0.412138
Epoch[56] Batch [280]	Speed: 159.51 samples/sec	CrossEntropy=0.889990	SmoothL1=0.420359
Epoch[56] Batch [300]	Speed: 162.60 samples/sec	CrossEntropy=0.892403	SmoothL1=0.421601
Epoch[56] Batch [320]	Speed: 162.98 samples/sec	CrossEntropy=0.885130	SmoothL1=0.390786
Epoch[56] Batch [340]	Speed: 165.28 samples/sec	CrossEntropy=0.894344	SmoothL1=0.412986
Epoch[56] Train-CrossEntropy=0.871134
Epoch[56] Train-SmoothL1=0.404678
Epoch[56] Time cost=101.919
Epoch[56] Validation-aeroplane=0.355022
Epoch[56] Validation-bicycle=0.311306
Epoch[56] Validation-bird=0.088901
Epoch[56] Validation-boat=0.153752
Epoch[56] Validation-bottle=0.090909
Epoch[56] Validation-bus=0.390839
Epoch[56] Validation-car=0.421184
Epoch[56] Validation-cat=0.302149
Epoch[56] Validation-chair=0.147745
Epoch[56] Validation-cow=0.152906
Epoch[56] Validation-diningtable=0.250279
Epoch[56] Validation-dog=0.226583
Epoch[56] Validation-horse=0.373311
Epoch[56] Validation-motorbike=0.320832
Epoch[56] Validation-person=0.398470
Epoch[56] Validation-pottedplant=0.094337
Epoch[56] Validation-sheep=0.268751
Epoch[56] Validation-sofa=0.223320
Epoch[56] Validation-train=0.441964
Epoch[56] Validation-tvmonitor=0.288753
Epoch[56] Validation-mAP=0.265066
Epoch[57] Batch [20]	Speed: 155.64 samples/sec	CrossEntropy=0.908776	SmoothL1=0.415611
Epoch[57] Batch [40]	Speed: 163.43 samples/sec	CrossEntropy=0.892495	SmoothL1=0.408209
Epoch[57] Batch [60]	Speed: 163.58 samples/sec	CrossEntropy=0.901699	SmoothL1=0.403077
Epoch[57] Batch [80]	Speed: 164.10 samples/sec	CrossEntropy=0.884887	SmoothL1=0.399385
Epoch[57] Batch [100]	Speed: 162.81 samples/sec	CrossEntropy=0.909238	SmoothL1=0.407630
Epoch[57] Batch [120]	Speed: 161.17 samples/sec	CrossEntropy=0.884487	SmoothL1=0.414199
Epoch[57] Batch [140]	Speed: 163.27 samples/sec	CrossEntropy=0.890973	SmoothL1=0.419421
Epoch[57] Batch [160]	Speed: 164.84 samples/sec	CrossEntropy=0.895563	SmoothL1=0.407399
Epoch[57] Batch [180]	Speed: 163.52 samples/sec	CrossEntropy=0.874963	SmoothL1=0.398891
Epoch[57] Batch [200]	Speed: 164.71 samples/sec	CrossEntropy=0.893807	SmoothL1=0.390275
Epoch[57] Batch [220]	Speed: 164.59 samples/sec	CrossEntropy=0.882027	SmoothL1=0.393641
Epoch[57] Batch [240]	Speed: 163.82 samples/sec	CrossEntropy=0.895340	SmoothL1=0.399660
Epoch[57] Batch [260]	Speed: 161.43 samples/sec	CrossEntropy=0.901663	SmoothL1=0.415863
Epoch[57] Batch [280]	Speed: 154.49 samples/sec	CrossEntropy=0.888137	SmoothL1=0.409171
Epoch[57] Batch [300]	Speed: 156.09 samples/sec	CrossEntropy=0.897330	SmoothL1=0.414308
Epoch[57] Batch [320]	Speed: 160.64 samples/sec	CrossEntropy=0.878070	SmoothL1=0.399679
Epoch[57] Batch [340]	Speed: 163.34 samples/sec	CrossEntropy=0.890358	SmoothL1=0.409039
Epoch[57] Train-CrossEntropy=0.909739
Epoch[57] Train-SmoothL1=0.430811
Epoch[57] Time cost=102.202
Epoch[57] Validation-aeroplane=0.314951
Epoch[57] Validation-bicycle=0.337583
Epoch[57] Validation-bird=0.142082
Epoch[57] Validation-boat=0.118970
Epoch[57] Validation-bottle=0.090909
Epoch[57] Validation-bus=0.341792
Epoch[57] Validation-car=0.435454
Epoch[57] Validation-cat=0.311477
Epoch[57] Validation-chair=0.107725
Epoch[57] Validation-cow=0.143673
Epoch[57] Validation-diningtable=0.276101
Epoch[57] Validation-dog=0.251514
Epoch[57] Validation-horse=0.444786
Epoch[57] Validation-motorbike=0.375959
Epoch[57] Validation-person=0.392707
Epoch[57] Validation-pottedplant=0.096314
Epoch[57] Validation-sheep=0.242232
Epoch[57] Validation-sofa=0.198595
Epoch[57] Validation-train=0.328015
Epoch[57] Validation-tvmonitor=0.234766
Epoch[57] Validation-mAP=0.259280
Epoch[58] Batch [20]	Speed: 159.26 samples/sec	CrossEntropy=0.896028	SmoothL1=0.413719
Epoch[58] Batch [40]	Speed: 160.48 samples/sec	CrossEntropy=0.884466	SmoothL1=0.405281
Epoch[58] Batch [60]	Speed: 163.57 samples/sec	CrossEntropy=0.909813	SmoothL1=0.404911
Epoch[58] Batch [80]	Speed: 163.34 samples/sec	CrossEntropy=0.884904	SmoothL1=0.402299
Epoch[58] Batch [100]	Speed: 161.68 samples/sec	CrossEntropy=0.899388	SmoothL1=0.415384
Epoch[58] Batch [120]	Speed: 162.18 samples/sec	CrossEntropy=0.873892	SmoothL1=0.418815
Epoch[58] Batch [140]	Speed: 163.84 samples/sec	CrossEntropy=0.886380	SmoothL1=0.400846
Epoch[58] Batch [160]	Speed: 163.46 samples/sec	CrossEntropy=0.894687	SmoothL1=0.405495
Epoch[58] Batch [180]	Speed: 162.67 samples/sec	CrossEntropy=0.875971	SmoothL1=0.398287
Epoch[58] Batch [200]	Speed: 162.84 samples/sec	CrossEntropy=0.869857	SmoothL1=0.388680
Epoch[58] Batch [220]	Speed: 162.27 samples/sec	CrossEntropy=0.862953	SmoothL1=0.398785
Epoch[58] Batch [240]	Speed: 161.72 samples/sec	CrossEntropy=0.880168	SmoothL1=0.401459
Epoch[58] Batch [260]	Speed: 162.78 samples/sec	CrossEntropy=0.899065	SmoothL1=0.413315
Epoch[58] Batch [280]	Speed: 163.74 samples/sec	CrossEntropy=0.879995	SmoothL1=0.415158
Epoch[58] Batch [300]	Speed: 159.52 samples/sec	CrossEntropy=0.902148	SmoothL1=0.428759
Epoch[58] Batch [320]	Speed: 160.33 samples/sec	CrossEntropy=0.878688	SmoothL1=0.391831
Epoch[58] Batch [340]	Speed: 165.87 samples/sec	CrossEntropy=0.897865	SmoothL1=0.402731
Epoch[58] Train-CrossEntropy=0.902062
Epoch[58] Train-SmoothL1=0.390830
Epoch[58] Time cost=101.855
Epoch[58] Validation-aeroplane=0.345875
Epoch[58] Validation-bicycle=0.379306
Epoch[58] Validation-bird=0.146313
Epoch[58] Validation-boat=0.124655
Epoch[58] Validation-bottle=0.090909
Epoch[58] Validation-bus=0.391831
Epoch[58] Validation-car=0.453764
Epoch[58] Validation-cat=0.324672
Epoch[58] Validation-chair=0.148350
Epoch[58] Validation-cow=0.160947
Epoch[58] Validation-diningtable=0.244642
Epoch[58] Validation-dog=0.208221
Epoch[58] Validation-horse=0.418529
Epoch[58] Validation-motorbike=0.368850
Epoch[58] Validation-person=0.402147
Epoch[58] Validation-pottedplant=0.098325
Epoch[58] Validation-sheep=0.226909
Epoch[58] Validation-sofa=0.191577
Epoch[58] Validation-train=0.423711
Epoch[58] Validation-tvmonitor=0.240084
Epoch[58] Validation-mAP=0.269481
Epoch[59] Batch [20]	Speed: 157.00 samples/sec	CrossEntropy=0.869019	SmoothL1=0.421616
Epoch[59] Batch [40]	Speed: 163.10 samples/sec	CrossEntropy=0.887220	SmoothL1=0.416338
Epoch[59] Batch [60]	Speed: 161.82 samples/sec	CrossEntropy=0.897052	SmoothL1=0.405432
Epoch[59] Batch [80]	Speed: 158.55 samples/sec	CrossEntropy=0.872782	SmoothL1=0.405481
Epoch[59] Batch [100]	Speed: 162.30 samples/sec	CrossEntropy=0.882479	SmoothL1=0.395706
Epoch[59] Batch [120]	Speed: 163.70 samples/sec	CrossEntropy=0.882994	SmoothL1=0.422779
Epoch[59] Batch [140]	Speed: 155.73 samples/sec	CrossEntropy=0.895163	SmoothL1=0.403412
Epoch[59] Batch [160]	Speed: 160.37 samples/sec	CrossEntropy=0.883192	SmoothL1=0.410189
Epoch[59] Batch [180]	Speed: 159.44 samples/sec	CrossEntropy=0.861895	SmoothL1=0.409168
Epoch[59] Batch [200]	Speed: 162.59 samples/sec	CrossEntropy=0.872655	SmoothL1=0.386920
Epoch[59] Batch [220]	Speed: 162.19 samples/sec	CrossEntropy=0.881388	SmoothL1=0.400104
Epoch[59] Batch [240]	Speed: 162.68 samples/sec	CrossEntropy=0.889304	SmoothL1=0.395644
Epoch[59] Batch [260]	Speed: 160.90 samples/sec	CrossEntropy=0.876525	SmoothL1=0.407806
Epoch[59] Batch [280]	Speed: 158.56 samples/sec	CrossEntropy=0.894356	SmoothL1=0.423124
Epoch[59] Batch [300]	Speed: 162.89 samples/sec	CrossEntropy=0.890700	SmoothL1=0.401758
Epoch[59] Batch [320]	Speed: 158.99 samples/sec	CrossEntropy=0.875361	SmoothL1=0.398620
Epoch[59] Batch [340]	Speed: 161.79 samples/sec	CrossEntropy=0.887073	SmoothL1=0.404059
Epoch[59] Train-CrossEntropy=0.876546
Epoch[59] Train-SmoothL1=0.385496
Epoch[59] Time cost=102.885
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0060.params"
Epoch[59] Validation-aeroplane=0.345940
Epoch[59] Validation-bicycle=0.360293
Epoch[59] Validation-bird=0.153946
Epoch[59] Validation-boat=0.150104
Epoch[59] Validation-bottle=0.038961
Epoch[59] Validation-bus=0.378167
Epoch[59] Validation-car=0.455744
Epoch[59] Validation-cat=0.324238
Epoch[59] Validation-chair=0.148988
Epoch[59] Validation-cow=0.150571
Epoch[59] Validation-diningtable=0.261764
Epoch[59] Validation-dog=0.207905
Epoch[59] Validation-horse=0.413144
Epoch[59] Validation-motorbike=0.407097
Epoch[59] Validation-person=0.414786
Epoch[59] Validation-pottedplant=0.100279
Epoch[59] Validation-sheep=0.246213
Epoch[59] Validation-sofa=0.194646
Epoch[59] Validation-train=0.407187
Epoch[59] Validation-tvmonitor=0.271234
Epoch[59] Validation-mAP=0.271560
Epoch[60] Batch [20]	Speed: 153.63 samples/sec	CrossEntropy=0.891198	SmoothL1=0.407913
Epoch[60] Batch [40]	Speed: 161.17 samples/sec	CrossEntropy=0.885334	SmoothL1=0.415648
Epoch[60] Batch [60]	Speed: 161.85 samples/sec	CrossEntropy=0.890909	SmoothL1=0.410821
Epoch[60] Batch [80]	Speed: 163.42 samples/sec	CrossEntropy=0.876940	SmoothL1=0.403983
Epoch[60] Batch [100]	Speed: 157.08 samples/sec	CrossEntropy=0.881792	SmoothL1=0.397159
Epoch[60] Batch [120]	Speed: 164.06 samples/sec	CrossEntropy=0.878363	SmoothL1=0.416079
Epoch[60] Batch [140]	Speed: 155.64 samples/sec	CrossEntropy=0.874712	SmoothL1=0.409572
Epoch[60] Batch [160]	Speed: 159.15 samples/sec	CrossEntropy=0.899716	SmoothL1=0.404058
Epoch[60] Batch [180]	Speed: 159.37 samples/sec	CrossEntropy=0.866529	SmoothL1=0.402930
Epoch[60] Batch [200]	Speed: 162.34 samples/sec	CrossEntropy=0.864795	SmoothL1=0.401084
Epoch[60] Batch [220]	Speed: 162.17 samples/sec	CrossEntropy=0.871023	SmoothL1=0.396331
Epoch[60] Batch [240]	Speed: 160.76 samples/sec	CrossEntropy=0.878617	SmoothL1=0.403340
Epoch[60] Batch [260]	Speed: 162.97 samples/sec	CrossEntropy=0.896530	SmoothL1=0.432930
Epoch[60] Batch [280]	Speed: 162.46 samples/sec	CrossEntropy=0.872710	SmoothL1=0.421658
Epoch[60] Batch [300]	Speed: 163.51 samples/sec	CrossEntropy=0.887279	SmoothL1=0.405422
Epoch[60] Batch [320]	Speed: 159.38 samples/sec	CrossEntropy=0.873465	SmoothL1=0.396169
Epoch[60] Batch [340]	Speed: 161.91 samples/sec	CrossEntropy=0.888970	SmoothL1=0.404205
Epoch[60] Train-CrossEntropy=0.885074
Epoch[60] Train-SmoothL1=0.369335
Epoch[60] Time cost=102.917
Epoch[60] Validation-aeroplane=0.349563
Epoch[60] Validation-bicycle=0.378748
Epoch[60] Validation-bird=0.147795
Epoch[60] Validation-boat=0.152148
Epoch[60] Validation-bottle=0.090909
Epoch[60] Validation-bus=0.380559
Epoch[60] Validation-car=0.456747
Epoch[60] Validation-cat=0.354639
Epoch[60] Validation-chair=0.148464
Epoch[60] Validation-cow=0.178374
Epoch[60] Validation-diningtable=0.270637
Epoch[60] Validation-dog=0.258409
Epoch[60] Validation-horse=0.426978
Epoch[60] Validation-motorbike=0.383332
Epoch[60] Validation-person=0.414929
Epoch[60] Validation-pottedplant=0.100200
Epoch[60] Validation-sheep=0.251049
Epoch[60] Validation-sofa=0.219352
Epoch[60] Validation-train=0.452817
Epoch[60] Validation-tvmonitor=0.260725
Epoch[60] Validation-mAP=0.283819
Epoch[61] Batch [20]	Speed: 159.32 samples/sec	CrossEntropy=0.873103	SmoothL1=0.411151
Epoch[61] Batch [40]	Speed: 162.54 samples/sec	CrossEntropy=0.880440	SmoothL1=0.408014
Epoch[61] Batch [60]	Speed: 160.00 samples/sec	CrossEntropy=0.878378	SmoothL1=0.390566
Epoch[61] Batch [80]	Speed: 164.97 samples/sec	CrossEntropy=0.879740	SmoothL1=0.400248
Epoch[61] Batch [100]	Speed: 161.16 samples/sec	CrossEntropy=0.878323	SmoothL1=0.403859
Epoch[61] Batch [120]	Speed: 159.60 samples/sec	CrossEntropy=0.870264	SmoothL1=0.415234
Epoch[61] Batch [140]	Speed: 163.08 samples/sec	CrossEntropy=0.875691	SmoothL1=0.401451
Epoch[61] Batch [160]	Speed: 160.70 samples/sec	CrossEntropy=0.870082	SmoothL1=0.399908
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Epoch[61] Batch [200]	Speed: 161.22 samples/sec	CrossEntropy=0.873524	SmoothL1=0.389089
Epoch[61] Batch [220]	Speed: 159.34 samples/sec	CrossEntropy=0.886867	SmoothL1=0.398124
Epoch[61] Batch [240]	Speed: 163.76 samples/sec	CrossEntropy=0.886231	SmoothL1=0.401459
Epoch[61] Batch [260]	Speed: 159.79 samples/sec	CrossEntropy=0.878055	SmoothL1=0.396602
Epoch[61] Batch [280]	Speed: 164.20 samples/sec	CrossEntropy=0.870857	SmoothL1=0.418652
Epoch[61] Batch [300]	Speed: 163.35 samples/sec	CrossEntropy=0.884013	SmoothL1=0.415858
Epoch[61] Batch [320]	Speed: 165.46 samples/sec	CrossEntropy=0.863108	SmoothL1=0.390524
Epoch[61] Batch [340]	Speed: 166.17 samples/sec	CrossEntropy=0.883408	SmoothL1=0.395366
Epoch[61] Train-CrossEntropy=0.880787
Epoch[61] Train-SmoothL1=0.428141
Epoch[61] Time cost=101.653
Epoch[61] Validation-aeroplane=0.361130
Epoch[61] Validation-bicycle=0.321868
Epoch[61] Validation-bird=0.141337
Epoch[61] Validation-boat=0.145399
Epoch[61] Validation-bottle=0.090909
Epoch[61] Validation-bus=0.407042
Epoch[61] Validation-car=0.471859
Epoch[61] Validation-cat=0.343886
Epoch[61] Validation-chair=0.155447
Epoch[61] Validation-cow=0.150483
Epoch[61] Validation-diningtable=0.300153
Epoch[61] Validation-dog=0.265763
Epoch[61] Validation-horse=0.424826
Epoch[61] Validation-motorbike=0.384568
Epoch[61] Validation-person=0.414427
Epoch[61] Validation-pottedplant=0.098777
Epoch[61] Validation-sheep=0.262592
Epoch[61] Validation-sofa=0.236903
Epoch[61] Validation-train=0.466228
Epoch[61] Validation-tvmonitor=0.295904
Epoch[61] Validation-mAP=0.286975
Epoch[62] Batch [20]	Speed: 159.90 samples/sec	CrossEntropy=0.886179	SmoothL1=0.405821
Epoch[62] Batch [40]	Speed: 159.75 samples/sec	CrossEntropy=0.875872	SmoothL1=0.410654
Epoch[62] Batch [60]	Speed: 160.71 samples/sec	CrossEntropy=0.880425	SmoothL1=0.384771
Epoch[62] Batch [80]	Speed: 160.18 samples/sec	CrossEntropy=0.864528	SmoothL1=0.405658
Epoch[62] Batch [100]	Speed: 162.36 samples/sec	CrossEntropy=0.880305	SmoothL1=0.390656
Epoch[62] Batch [120]	Speed: 163.99 samples/sec	CrossEntropy=0.859958	SmoothL1=0.406711
Epoch[62] Batch [140]	Speed: 159.05 samples/sec	CrossEntropy=0.870763	SmoothL1=0.411284
Epoch[62] Batch [160]	Speed: 162.68 samples/sec	CrossEntropy=0.876191	SmoothL1=0.398750
Epoch[62] Batch [180]	Speed: 160.99 samples/sec	CrossEntropy=0.858371	SmoothL1=0.393344
Epoch[62] Batch [200]	Speed: 162.96 samples/sec	CrossEntropy=0.861727	SmoothL1=0.381167
Epoch[62] Batch [220]	Speed: 159.80 samples/sec	CrossEntropy=0.874931	SmoothL1=0.399269
Epoch[62] Batch [240]	Speed: 162.65 samples/sec	CrossEntropy=0.863124	SmoothL1=0.404862
Epoch[62] Batch [260]	Speed: 160.09 samples/sec	CrossEntropy=0.868970	SmoothL1=0.407716
Epoch[62] Batch [280]	Speed: 159.86 samples/sec	CrossEntropy=0.879196	SmoothL1=0.415594
Epoch[62] Batch [300]	Speed: 161.40 samples/sec	CrossEntropy=0.879453	SmoothL1=0.422119
Epoch[62] Batch [320]	Speed: 163.68 samples/sec	CrossEntropy=0.870279	SmoothL1=0.390504
Epoch[62] Batch [340]	Speed: 166.69 samples/sec	CrossEntropy=0.863560	SmoothL1=0.397564
Epoch[62] Train-CrossEntropy=0.878020
Epoch[62] Train-SmoothL1=0.418078
Epoch[62] Time cost=102.342
Epoch[62] Validation-aeroplane=0.352786
Epoch[62] Validation-bicycle=0.348747
Epoch[62] Validation-bird=0.134466
Epoch[62] Validation-boat=0.145310
Epoch[62] Validation-bottle=0.090909
Epoch[62] Validation-bus=0.389929
Epoch[62] Validation-car=0.455161
Epoch[62] Validation-cat=0.334212
Epoch[62] Validation-chair=0.112489
Epoch[62] Validation-cow=0.118094
Epoch[62] Validation-diningtable=0.334619
Epoch[62] Validation-dog=0.239472
Epoch[62] Validation-horse=0.378168
Epoch[62] Validation-motorbike=0.394947
Epoch[62] Validation-person=0.392379
Epoch[62] Validation-pottedplant=0.075547
Epoch[62] Validation-sheep=0.260615
Epoch[62] Validation-sofa=0.245565
Epoch[62] Validation-train=0.414157
Epoch[62] Validation-tvmonitor=0.298118
Epoch[62] Validation-mAP=0.275784
Epoch[63] Batch [20]	Speed: 158.21 samples/sec	CrossEntropy=0.872450	SmoothL1=0.405707
Epoch[63] Batch [40]	Speed: 162.43 samples/sec	CrossEntropy=0.870756	SmoothL1=0.405891
Epoch[63] Batch [60]	Speed: 164.69 samples/sec	CrossEntropy=0.861658	SmoothL1=0.380615
Epoch[63] Batch [80]	Speed: 160.11 samples/sec	CrossEntropy=0.865252	SmoothL1=0.407601
Epoch[63] Batch [100]	Speed: 164.96 samples/sec	CrossEntropy=0.887042	SmoothL1=0.392642
Epoch[63] Batch [120]	Speed: 165.52 samples/sec	CrossEntropy=0.869381	SmoothL1=0.405963
Epoch[63] Batch [140]	Speed: 158.13 samples/sec	CrossEntropy=0.859927	SmoothL1=0.391160
Epoch[63] Batch [160]	Speed: 152.87 samples/sec	CrossEntropy=0.877604	SmoothL1=0.392123
Epoch[63] Batch [180]	Speed: 160.10 samples/sec	CrossEntropy=0.860828	SmoothL1=0.406061
Epoch[63] Batch [200]	Speed: 165.02 samples/sec	CrossEntropy=0.870576	SmoothL1=0.385453
Epoch[63] Batch [220]	Speed: 161.89 samples/sec	CrossEntropy=0.874349	SmoothL1=0.391622
Epoch[63] Batch [240]	Speed: 155.75 samples/sec	CrossEntropy=0.865864	SmoothL1=0.397837
Epoch[63] Batch [260]	Speed: 155.05 samples/sec	CrossEntropy=0.861280	SmoothL1=0.399929
Epoch[63] Batch [280]	Speed: 157.43 samples/sec	CrossEntropy=0.874739	SmoothL1=0.416980
Epoch[63] Batch [300]	Speed: 160.92 samples/sec	CrossEntropy=0.886541	SmoothL1=0.407891
Epoch[63] Batch [320]	Speed: 161.43 samples/sec	CrossEntropy=0.866064	SmoothL1=0.385853
Epoch[63] Batch [340]	Speed: 165.24 samples/sec	CrossEntropy=0.873751	SmoothL1=0.395978
Epoch[63] Train-CrossEntropy=0.893263
Epoch[63] Train-SmoothL1=0.392918
Epoch[63] Time cost=103.013
Epoch[63] Validation-aeroplane=0.354303
Epoch[63] Validation-bicycle=0.362918
Epoch[63] Validation-bird=0.127402
Epoch[63] Validation-boat=0.141515
Epoch[63] Validation-bottle=0.090909
Epoch[63] Validation-bus=0.418549
Epoch[63] Validation-car=0.469403
Epoch[63] Validation-cat=0.362653
Epoch[63] Validation-chair=0.160408
Epoch[63] Validation-cow=0.178162
Epoch[63] Validation-diningtable=0.319341
Epoch[63] Validation-dog=0.248876
Epoch[63] Validation-horse=0.447879
Epoch[63] Validation-motorbike=0.414712
Epoch[63] Validation-person=0.423002
Epoch[63] Validation-pottedplant=0.104028
Epoch[63] Validation-sheep=0.269882
Epoch[63] Validation-sofa=0.221694
Epoch[63] Validation-train=0.426958
Epoch[63] Validation-tvmonitor=0.298085
Epoch[63] Validation-mAP=0.292034
Epoch[64] Batch [20]	Speed: 156.49 samples/sec	CrossEntropy=0.867161	SmoothL1=0.397472
Epoch[64] Batch [40]	Speed: 162.12 samples/sec	CrossEntropy=0.870121	SmoothL1=0.400602
Epoch[64] Batch [60]	Speed: 161.63 samples/sec	CrossEntropy=0.881875	SmoothL1=0.395820
Epoch[64] Batch [80]	Speed: 163.50 samples/sec	CrossEntropy=0.870798	SmoothL1=0.399064
Epoch[64] Batch [100]	Speed: 162.94 samples/sec	CrossEntropy=0.867842	SmoothL1=0.384652
Epoch[64] Batch [120]	Speed: 163.08 samples/sec	CrossEntropy=0.858353	SmoothL1=0.398837
Epoch[64] Batch [140]	Speed: 163.27 samples/sec	CrossEntropy=0.865320	SmoothL1=0.407515
Epoch[64] Batch [160]	Speed: 161.92 samples/sec	CrossEntropy=0.870694	SmoothL1=0.381444
Epoch[64] Batch [180]	Speed: 156.18 samples/sec	CrossEntropy=0.855339	SmoothL1=0.407072
Epoch[64] Batch [200]	Speed: 164.84 samples/sec	CrossEntropy=0.848194	SmoothL1=0.372792
Epoch[64] Batch [220]	Speed: 164.62 samples/sec	CrossEntropy=0.854317	SmoothL1=0.389749
Epoch[64] Batch [240]	Speed: 164.19 samples/sec	CrossEntropy=0.863823	SmoothL1=0.392669
Epoch[64] Batch [260]	Speed: 161.46 samples/sec	CrossEntropy=0.872882	SmoothL1=0.411876
Epoch[64] Batch [280]	Speed: 156.39 samples/sec	CrossEntropy=0.872991	SmoothL1=0.415942
Epoch[64] Batch [300]	Speed: 160.48 samples/sec	CrossEntropy=0.873222	SmoothL1=0.429370
Epoch[64] Batch [320]	Speed: 161.43 samples/sec	CrossEntropy=0.865969	SmoothL1=0.387550
Epoch[64] Batch [340]	Speed: 165.69 samples/sec	CrossEntropy=0.884047	SmoothL1=0.385421
Epoch[64] Train-CrossEntropy=0.871746
Epoch[64] Train-SmoothL1=0.386758
Epoch[64] Time cost=102.244
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0065.params"
Epoch[64] Validation-aeroplane=0.379121
Epoch[64] Validation-bicycle=0.382858
Epoch[64] Validation-bird=0.133262
Epoch[64] Validation-boat=0.177719
Epoch[64] Validation-bottle=0.060606
Epoch[64] Validation-bus=0.420183
Epoch[64] Validation-car=0.483284
Epoch[64] Validation-cat=0.350664
Epoch[64] Validation-chair=0.126548
Epoch[64] Validation-cow=0.143128
Epoch[64] Validation-diningtable=0.286038
Epoch[64] Validation-dog=0.259002
Epoch[64] Validation-horse=0.432496
Epoch[64] Validation-motorbike=0.412798
Epoch[64] Validation-person=0.421169
Epoch[64] Validation-pottedplant=0.060518
Epoch[64] Validation-sheep=0.271107
Epoch[64] Validation-sofa=0.243893
Epoch[64] Validation-train=0.423572
Epoch[64] Validation-tvmonitor=0.299514
Epoch[64] Validation-mAP=0.288374
Epoch[65] Batch [20]	Speed: 154.92 samples/sec	CrossEntropy=0.870909	SmoothL1=0.402360
Epoch[65] Batch [40]	Speed: 159.94 samples/sec	CrossEntropy=0.858664	SmoothL1=0.407991
Epoch[65] Batch [60]	Speed: 160.14 samples/sec	CrossEntropy=0.866835	SmoothL1=0.391217
Epoch[65] Batch [80]	Speed: 162.24 samples/sec	CrossEntropy=0.871671	SmoothL1=0.396420
Epoch[65] Batch [100]	Speed: 161.24 samples/sec	CrossEntropy=0.861945	SmoothL1=0.386166
Epoch[65] Batch [120]	Speed: 163.54 samples/sec	CrossEntropy=0.845182	SmoothL1=0.391438
Epoch[65] Batch [140]	Speed: 163.49 samples/sec	CrossEntropy=0.867099	SmoothL1=0.397839
Epoch[65] Batch [160]	Speed: 162.28 samples/sec	CrossEntropy=0.867217	SmoothL1=0.395503
Epoch[65] Batch [180]	Speed: 159.19 samples/sec	CrossEntropy=0.834409	SmoothL1=0.387835
Epoch[65] Batch [200]	Speed: 163.10 samples/sec	CrossEntropy=0.858638	SmoothL1=0.399760
Epoch[65] Batch [220]	Speed: 159.54 samples/sec	CrossEntropy=0.855169	SmoothL1=0.398541
Epoch[65] Batch [240]	Speed: 159.66 samples/sec	CrossEntropy=0.868573	SmoothL1=0.403721
Epoch[65] Batch [260]	Speed: 162.07 samples/sec	CrossEntropy=0.860646	SmoothL1=0.403963
Epoch[65] Batch [280]	Speed: 157.48 samples/sec	CrossEntropy=0.869550	SmoothL1=0.404616
Epoch[65] Batch [300]	Speed: 160.86 samples/sec	CrossEntropy=0.865832	SmoothL1=0.398315
Epoch[65] Batch [320]	Speed: 163.10 samples/sec	CrossEntropy=0.861545	SmoothL1=0.386915
Epoch[65] Batch [340]	Speed: 165.32 samples/sec	CrossEntropy=0.847891	SmoothL1=0.390744
Epoch[65] Train-CrossEntropy=0.926773
Epoch[65] Train-SmoothL1=0.407785
Epoch[65] Time cost=102.678
Epoch[65] Validation-aeroplane=0.366829
Epoch[65] Validation-bicycle=0.395393
Epoch[65] Validation-bird=0.157731
Epoch[65] Validation-boat=0.151711
Epoch[65] Validation-bottle=0.045455
Epoch[65] Validation-bus=0.445379
Epoch[65] Validation-car=0.480644
Epoch[65] Validation-cat=0.341437
Epoch[65] Validation-chair=0.131265
Epoch[65] Validation-cow=0.166374
Epoch[65] Validation-diningtable=0.304174
Epoch[65] Validation-dog=0.236424
Epoch[65] Validation-horse=0.477539
Epoch[65] Validation-motorbike=0.455865
Epoch[65] Validation-person=0.439566
Epoch[65] Validation-pottedplant=0.067787
Epoch[65] Validation-sheep=0.261933
Epoch[65] Validation-sofa=0.259881
Epoch[65] Validation-train=0.438265
Epoch[65] Validation-tvmonitor=0.318739
Epoch[65] Validation-mAP=0.297120
Epoch[66] Batch [20]	Speed: 153.27 samples/sec	CrossEntropy=0.873436	SmoothL1=0.382873
Epoch[66] Batch [40]	Speed: 162.44 samples/sec	CrossEntropy=0.852365	SmoothL1=0.400332
Epoch[66] Batch [60]	Speed: 164.32 samples/sec	CrossEntropy=0.871544	SmoothL1=0.404441
Epoch[66] Batch [80]	Speed: 161.55 samples/sec	CrossEntropy=0.863244	SmoothL1=0.394131
Epoch[66] Batch [100]	Speed: 160.79 samples/sec	CrossEntropy=0.863707	SmoothL1=0.391260
Epoch[66] Batch [120]	Speed: 164.19 samples/sec	CrossEntropy=0.851124	SmoothL1=0.414139
Epoch[66] Batch [140]	Speed: 164.51 samples/sec	CrossEntropy=0.864470	SmoothL1=0.398979
Epoch[66] Batch [160]	Speed: 160.72 samples/sec	CrossEntropy=0.864291	SmoothL1=0.400878
Epoch[66] Batch [180]	Speed: 163.29 samples/sec	CrossEntropy=0.857294	SmoothL1=0.389925
Epoch[66] Batch [200]	Speed: 160.19 samples/sec	CrossEntropy=0.845548	SmoothL1=0.381778
Epoch[66] Batch [220]	Speed: 158.70 samples/sec	CrossEntropy=0.843735	SmoothL1=0.388836
Epoch[66] Batch [240]	Speed: 162.97 samples/sec	CrossEntropy=0.861238	SmoothL1=0.400598
Epoch[66] Batch [260]	Speed: 155.76 samples/sec	CrossEntropy=0.852711	SmoothL1=0.397180
Epoch[66] Batch [280]	Speed: 153.96 samples/sec	CrossEntropy=0.865202	SmoothL1=0.399637
Epoch[66] Batch [300]	Speed: 156.75 samples/sec	CrossEntropy=0.866423	SmoothL1=0.394531
Epoch[66] Batch [320]	Speed: 160.37 samples/sec	CrossEntropy=0.868036	SmoothL1=0.380461
Epoch[66] Batch [340]	Speed: 167.60 samples/sec	CrossEntropy=0.850078	SmoothL1=0.380603
Epoch[66] Train-CrossEntropy=0.875488
Epoch[66] Train-SmoothL1=0.375275
Epoch[66] Time cost=102.634
Epoch[66] Validation-aeroplane=0.373581
Epoch[66] Validation-bicycle=0.361323
Epoch[66] Validation-bird=0.154566
Epoch[66] Validation-boat=0.145470
Epoch[66] Validation-bottle=0.090909
Epoch[66] Validation-bus=0.433430
Epoch[66] Validation-car=0.490245
Epoch[66] Validation-cat=0.375426
Epoch[66] Validation-chair=0.130839
Epoch[66] Validation-cow=0.183578
Epoch[66] Validation-diningtable=0.291269
Epoch[66] Validation-dog=0.273155
Epoch[66] Validation-horse=0.410923
Epoch[66] Validation-motorbike=0.449409
Epoch[66] Validation-person=0.441413
Epoch[66] Validation-pottedplant=0.098833
Epoch[66] Validation-sheep=0.288894
Epoch[66] Validation-sofa=0.256405
Epoch[66] Validation-train=0.437210
Epoch[66] Validation-tvmonitor=0.312291
Epoch[66] Validation-mAP=0.299958
Epoch[67] Batch [20]	Speed: 157.05 samples/sec	CrossEntropy=0.856016	SmoothL1=0.392060
Epoch[67] Batch [40]	Speed: 159.10 samples/sec	CrossEntropy=0.857066	SmoothL1=0.395546
Epoch[67] Batch [60]	Speed: 162.60 samples/sec	CrossEntropy=0.861647	SmoothL1=0.396534
Epoch[67] Batch [80]	Speed: 163.01 samples/sec	CrossEntropy=0.865292	SmoothL1=0.398238
Epoch[67] Batch [100]	Speed: 162.54 samples/sec	CrossEntropy=0.860548	SmoothL1=0.398799
Epoch[67] Batch [120]	Speed: 161.50 samples/sec	CrossEntropy=0.853127	SmoothL1=0.397917
Epoch[67] Batch [140]	Speed: 162.50 samples/sec	CrossEntropy=0.857722	SmoothL1=0.396117
Epoch[67] Batch [160]	Speed: 154.70 samples/sec	CrossEntropy=0.846446	SmoothL1=0.383820
Epoch[67] Batch [180]	Speed: 163.49 samples/sec	CrossEntropy=0.839579	SmoothL1=0.384511
Epoch[67] Batch [200]	Speed: 161.65 samples/sec	CrossEntropy=0.850165	SmoothL1=0.369632
Epoch[67] Batch [220]	Speed: 160.98 samples/sec	CrossEntropy=0.854416	SmoothL1=0.381335
Epoch[67] Batch [240]	Speed: 161.47 samples/sec	CrossEntropy=0.858908	SmoothL1=0.396393
Epoch[67] Batch [260]	Speed: 158.42 samples/sec	CrossEntropy=0.864940	SmoothL1=0.400876
Epoch[67] Batch [280]	Speed: 162.16 samples/sec	CrossEntropy=0.864461	SmoothL1=0.398342
Epoch[67] Batch [300]	Speed: 158.50 samples/sec	CrossEntropy=0.858006	SmoothL1=0.390777
Epoch[67] Batch [320]	Speed: 161.98 samples/sec	CrossEntropy=0.844627	SmoothL1=0.390059
Epoch[67] Batch [340]	Speed: 163.32 samples/sec	CrossEntropy=0.862292	SmoothL1=0.400562
Epoch[67] Train-CrossEntropy=0.855932
Epoch[67] Train-SmoothL1=0.410548
Epoch[67] Time cost=102.753
Epoch[67] Validation-aeroplane=0.380396
Epoch[67] Validation-bicycle=0.367413
Epoch[67] Validation-bird=0.152797
Epoch[67] Validation-boat=0.186319
Epoch[67] Validation-bottle=0.054545
Epoch[67] Validation-bus=0.440707
Epoch[67] Validation-car=0.471667
Epoch[67] Validation-cat=0.340413
Epoch[67] Validation-chair=0.160597
Epoch[67] Validation-cow=0.164374
Epoch[67] Validation-diningtable=0.292832
Epoch[67] Validation-dog=0.213479
Epoch[67] Validation-horse=0.416562
Epoch[67] Validation-motorbike=0.393130
Epoch[67] Validation-person=0.415588
Epoch[67] Validation-pottedplant=0.109532
Epoch[67] Validation-sheep=0.268176
Epoch[67] Validation-sofa=0.276539
Epoch[67] Validation-train=0.472372
Epoch[67] Validation-tvmonitor=0.307410
Epoch[67] Validation-mAP=0.294242
Epoch[68] Batch [20]	Speed: 156.54 samples/sec	CrossEntropy=0.859989	SmoothL1=0.391686
Epoch[68] Batch [40]	Speed: 161.82 samples/sec	CrossEntropy=0.829954	SmoothL1=0.390639
Epoch[68] Batch [60]	Speed: 160.34 samples/sec	CrossEntropy=0.855924	SmoothL1=0.397025
Epoch[68] Batch [80]	Speed: 161.44 samples/sec	CrossEntropy=0.848592	SmoothL1=0.392637
Epoch[68] Batch [100]	Speed: 162.88 samples/sec	CrossEntropy=0.856386	SmoothL1=0.387434
Epoch[68] Batch [120]	Speed: 159.43 samples/sec	CrossEntropy=0.845003	SmoothL1=0.402911
Epoch[68] Batch [140]	Speed: 159.07 samples/sec	CrossEntropy=0.845307	SmoothL1=0.408781
Epoch[68] Batch [160]	Speed: 162.21 samples/sec	CrossEntropy=0.842494	SmoothL1=0.389448
Epoch[68] Batch [180]	Speed: 160.34 samples/sec	CrossEntropy=0.844438	SmoothL1=0.401738
Epoch[68] Batch [200]	Speed: 163.08 samples/sec	CrossEntropy=0.837900	SmoothL1=0.371439
Epoch[68] Batch [220]	Speed: 159.41 samples/sec	CrossEntropy=0.853967	SmoothL1=0.391252
Epoch[68] Batch [240]	Speed: 161.54 samples/sec	CrossEntropy=0.865926	SmoothL1=0.405503
Epoch[68] Batch [260]	Speed: 157.00 samples/sec	CrossEntropy=0.865475	SmoothL1=0.408255
Epoch[68] Batch [280]	Speed: 157.31 samples/sec	CrossEntropy=0.849838	SmoothL1=0.413436
Epoch[68] Batch [300]	Speed: 163.04 samples/sec	CrossEntropy=0.860198	SmoothL1=0.398711
Epoch[68] Batch [320]	Speed: 163.50 samples/sec	CrossEntropy=0.855894	SmoothL1=0.372206
Epoch[68] Batch [340]	Speed: 161.34 samples/sec	CrossEntropy=0.871151	SmoothL1=0.385117
Epoch[68] Train-CrossEntropy=0.829196
Epoch[68] Train-SmoothL1=0.382699
Epoch[68] Time cost=102.943
Epoch[68] Validation-aeroplane=0.379699
Epoch[68] Validation-bicycle=0.351418
Epoch[68] Validation-bird=0.156873
Epoch[68] Validation-boat=0.167869
Epoch[68] Validation-bottle=0.090909
Epoch[68] Validation-bus=0.430882
Epoch[68] Validation-car=0.486685
Epoch[68] Validation-cat=0.343933
Epoch[68] Validation-chair=0.170576
Epoch[68] Validation-cow=0.150407
Epoch[68] Validation-diningtable=0.289041
Epoch[68] Validation-dog=0.250550
Epoch[68] Validation-horse=0.442522
Epoch[68] Validation-motorbike=0.389672
Epoch[68] Validation-person=0.434015
Epoch[68] Validation-pottedplant=0.108623
Epoch[68] Validation-sheep=0.274472
Epoch[68] Validation-sofa=0.255243
Epoch[68] Validation-train=0.442042
Epoch[68] Validation-tvmonitor=0.301443
Epoch[68] Validation-mAP=0.295844
Epoch[69] Batch [20]	Speed: 159.32 samples/sec	CrossEntropy=0.852044	SmoothL1=0.387283
Epoch[69] Batch [40]	Speed: 159.17 samples/sec	CrossEntropy=0.855554	SmoothL1=0.399862
Epoch[69] Batch [60]	Speed: 156.38 samples/sec	CrossEntropy=0.855227	SmoothL1=0.383292
Epoch[69] Batch [80]	Speed: 160.10 samples/sec	CrossEntropy=0.848874	SmoothL1=0.390576
Epoch[69] Batch [100]	Speed: 162.16 samples/sec	CrossEntropy=0.857648	SmoothL1=0.378708
Epoch[69] Batch [120]	Speed: 161.76 samples/sec	CrossEntropy=0.845767	SmoothL1=0.387632
Epoch[69] Batch [140]	Speed: 160.48 samples/sec	CrossEntropy=0.846546	SmoothL1=0.394472
Epoch[69] Batch [160]	Speed: 159.04 samples/sec	CrossEntropy=0.840135	SmoothL1=0.388112
Epoch[69] Batch [180]	Speed: 161.11 samples/sec	CrossEntropy=0.851961	SmoothL1=0.392502
Epoch[69] Batch [200]	Speed: 161.83 samples/sec	CrossEntropy=0.842010	SmoothL1=0.383021
Epoch[69] Batch [220]	Speed: 162.91 samples/sec	CrossEntropy=0.847810	SmoothL1=0.382989
Epoch[69] Batch [240]	Speed: 162.64 samples/sec	CrossEntropy=0.834926	SmoothL1=0.387392
Epoch[69] Batch [260]	Speed: 157.39 samples/sec	CrossEntropy=0.848406	SmoothL1=0.403732
Epoch[69] Batch [280]	Speed: 160.02 samples/sec	CrossEntropy=0.850937	SmoothL1=0.404889
Epoch[69] Batch [300]	Speed: 163.20 samples/sec	CrossEntropy=0.851980	SmoothL1=0.395960
Epoch[69] Batch [320]	Speed: 157.22 samples/sec	CrossEntropy=0.848471	SmoothL1=0.393316
Epoch[69] Batch [340]	Speed: 162.26 samples/sec	CrossEntropy=0.853528	SmoothL1=0.407504
Epoch[69] Train-CrossEntropy=0.869160
Epoch[69] Train-SmoothL1=0.373811
Epoch[69] Time cost=103.070
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0070.params"
Epoch[69] Validation-aeroplane=0.385218
Epoch[69] Validation-bicycle=0.396744
Epoch[69] Validation-bird=0.169053
Epoch[69] Validation-boat=0.152893
Epoch[69] Validation-bottle=0.090909
Epoch[69] Validation-bus=0.441942
Epoch[69] Validation-car=0.472028
Epoch[69] Validation-cat=0.366763
Epoch[69] Validation-chair=0.160522
Epoch[69] Validation-cow=0.148375
Epoch[69] Validation-diningtable=0.334446
Epoch[69] Validation-dog=0.268655
Epoch[69] Validation-horse=0.452830
Epoch[69] Validation-motorbike=0.416153
Epoch[69] Validation-person=0.421218
Epoch[69] Validation-pottedplant=0.112306
Epoch[69] Validation-sheep=0.258026
Epoch[69] Validation-sofa=0.216217
Epoch[69] Validation-train=0.456190
Epoch[69] Validation-tvmonitor=0.309882
Epoch[69] Validation-mAP=0.301518
Epoch[70] Batch [20]	Speed: 154.47 samples/sec	CrossEntropy=0.848563	SmoothL1=0.396654
Epoch[70] Batch [40]	Speed: 158.65 samples/sec	CrossEntropy=0.845331	SmoothL1=0.381003
Epoch[70] Batch [60]	Speed: 159.13 samples/sec	CrossEntropy=0.855054	SmoothL1=0.389528
Epoch[70] Batch [80]	Speed: 159.74 samples/sec	CrossEntropy=0.847673	SmoothL1=0.388520
Epoch[70] Batch [100]	Speed: 164.16 samples/sec	CrossEntropy=0.847420	SmoothL1=0.393636
Epoch[70] Batch [120]	Speed: 160.67 samples/sec	CrossEntropy=0.856636	SmoothL1=0.412708
Epoch[70] Batch [140]	Speed: 163.52 samples/sec	CrossEntropy=0.841653	SmoothL1=0.400543
Epoch[70] Batch [160]	Speed: 158.89 samples/sec	CrossEntropy=0.861992	SmoothL1=0.394763
Epoch[70] Batch [180]	Speed: 161.53 samples/sec	CrossEntropy=0.831367	SmoothL1=0.372898
Epoch[70] Batch [200]	Speed: 156.38 samples/sec	CrossEntropy=0.849630	SmoothL1=0.387640
Epoch[70] Batch [220]	Speed: 161.12 samples/sec	CrossEntropy=0.838002	SmoothL1=0.385460
Epoch[70] Batch [240]	Speed: 159.10 samples/sec	CrossEntropy=0.851932	SmoothL1=0.385766
Epoch[70] Batch [260]	Speed: 158.90 samples/sec	CrossEntropy=0.844291	SmoothL1=0.400466
Epoch[70] Batch [280]	Speed: 160.41 samples/sec	CrossEntropy=0.855605	SmoothL1=0.380191
Epoch[70] Batch [300]	Speed: 157.31 samples/sec	CrossEntropy=0.855931	SmoothL1=0.401000
Epoch[70] Batch [320]	Speed: 163.04 samples/sec	CrossEntropy=0.850272	SmoothL1=0.385366
Epoch[70] Batch [340]	Speed: 165.29 samples/sec	CrossEntropy=0.855270	SmoothL1=0.390524
Epoch[70] Train-CrossEntropy=0.865365
Epoch[70] Train-SmoothL1=0.396050
Epoch[70] Time cost=103.304
Epoch[70] Validation-aeroplane=0.370486
Epoch[70] Validation-bicycle=0.366825
Epoch[70] Validation-bird=0.142295
Epoch[70] Validation-boat=0.167871
Epoch[70] Validation-bottle=0.090909
Epoch[70] Validation-bus=0.452869
Epoch[70] Validation-car=0.495461
Epoch[70] Validation-cat=0.365676
Epoch[70] Validation-chair=0.168480
Epoch[70] Validation-cow=0.178503
Epoch[70] Validation-diningtable=0.313240
Epoch[70] Validation-dog=0.221418
Epoch[70] Validation-horse=0.442973
Epoch[70] Validation-motorbike=0.416319
Epoch[70] Validation-person=0.409002
Epoch[70] Validation-pottedplant=0.088424
Epoch[70] Validation-sheep=0.312270
Epoch[70] Validation-sofa=0.249721
Epoch[70] Validation-train=0.480269
Epoch[70] Validation-tvmonitor=0.308070
Epoch[70] Validation-mAP=0.302054
Epoch[71] Batch [20]	Speed: 152.78 samples/sec	CrossEntropy=0.860237	SmoothL1=0.406213
Epoch[71] Batch [40]	Speed: 161.08 samples/sec	CrossEntropy=0.839226	SmoothL1=0.386221
Epoch[71] Batch [60]	Speed: 163.72 samples/sec	CrossEntropy=0.861195	SmoothL1=0.386907
Epoch[71] Batch [80]	Speed: 161.69 samples/sec	CrossEntropy=0.848645	SmoothL1=0.405914
Epoch[71] Batch [100]	Speed: 163.69 samples/sec	CrossEntropy=0.848062	SmoothL1=0.380322
Epoch[71] Batch [120]	Speed: 161.32 samples/sec	CrossEntropy=0.843619	SmoothL1=0.391572
Epoch[71] Batch [140]	Speed: 160.69 samples/sec	CrossEntropy=0.833595	SmoothL1=0.399232
Epoch[71] Batch [160]	Speed: 158.14 samples/sec	CrossEntropy=0.850692	SmoothL1=0.384287
Epoch[71] Batch [180]	Speed: 158.26 samples/sec	CrossEntropy=0.839926	SmoothL1=0.391374
Epoch[71] Batch [200]	Speed: 160.35 samples/sec	CrossEntropy=0.832158	SmoothL1=0.374594
Epoch[71] Batch [220]	Speed: 157.48 samples/sec	CrossEntropy=0.848362	SmoothL1=0.379170
Epoch[71] Batch [240]	Speed: 157.63 samples/sec	CrossEntropy=0.845694	SmoothL1=0.387811
Epoch[71] Batch [260]	Speed: 158.69 samples/sec	CrossEntropy=0.846870	SmoothL1=0.407964
Epoch[71] Batch [280]	Speed: 163.45 samples/sec	CrossEntropy=0.840813	SmoothL1=0.391187
Epoch[71] Batch [300]	Speed: 161.73 samples/sec	CrossEntropy=0.845894	SmoothL1=0.401872
Epoch[71] Batch [320]	Speed: 159.59 samples/sec	CrossEntropy=0.831825	SmoothL1=0.371241
Epoch[71] Batch [340]	Speed: 168.29 samples/sec	CrossEntropy=0.866829	SmoothL1=0.394818
Epoch[71] Train-CrossEntropy=0.869252
Epoch[71] Train-SmoothL1=0.372924
Epoch[71] Time cost=102.750
Epoch[71] Validation-aeroplane=0.395991
Epoch[71] Validation-bicycle=0.395802
Epoch[71] Validation-bird=0.151883
Epoch[71] Validation-boat=0.157642
Epoch[71] Validation-bottle=0.090909
Epoch[71] Validation-bus=0.450713
Epoch[71] Validation-car=0.502245
Epoch[71] Validation-cat=0.364880
Epoch[71] Validation-chair=0.158137
Epoch[71] Validation-cow=0.147557
Epoch[71] Validation-diningtable=0.333622
Epoch[71] Validation-dog=0.292589
Epoch[71] Validation-horse=0.475852
Epoch[71] Validation-motorbike=0.460753
Epoch[71] Validation-person=0.456587
Epoch[71] Validation-pottedplant=0.117626
Epoch[71] Validation-sheep=0.288324
Epoch[71] Validation-sofa=0.252733
Epoch[71] Validation-train=0.469083
Epoch[71] Validation-tvmonitor=0.330387
Epoch[71] Validation-mAP=0.314666
Epoch[72] Batch [20]	Speed: 156.42 samples/sec	CrossEntropy=0.847845	SmoothL1=0.395119
Epoch[72] Batch [40]	Speed: 163.39 samples/sec	CrossEntropy=0.839336	SmoothL1=0.382116
Epoch[72] Batch [60]	Speed: 164.33 samples/sec	CrossEntropy=0.859509	SmoothL1=0.384150
Epoch[72] Batch [80]	Speed: 163.45 samples/sec	CrossEntropy=0.842590	SmoothL1=0.384445
Epoch[72] Batch [100]	Speed: 163.00 samples/sec	CrossEntropy=0.842085	SmoothL1=0.389402
Epoch[72] Batch [120]	Speed: 162.94 samples/sec	CrossEntropy=0.828399	SmoothL1=0.391570
Epoch[72] Batch [140]	Speed: 162.47 samples/sec	CrossEntropy=0.836117	SmoothL1=0.386030
Epoch[72] Batch [160]	Speed: 161.76 samples/sec	CrossEntropy=0.832957	SmoothL1=0.390313
Epoch[72] Batch [180]	Speed: 163.31 samples/sec	CrossEntropy=0.831944	SmoothL1=0.381876
Epoch[72] Batch [200]	Speed: 161.89 samples/sec	CrossEntropy=0.828738	SmoothL1=0.360342
Epoch[72] Batch [220]	Speed: 163.12 samples/sec	CrossEntropy=0.835490	SmoothL1=0.381287
Epoch[72] Batch [240]	Speed: 164.15 samples/sec	CrossEntropy=0.839257	SmoothL1=0.381844
Epoch[72] Batch [260]	Speed: 165.12 samples/sec	CrossEntropy=0.851687	SmoothL1=0.401439
Epoch[72] Batch [280]	Speed: 163.40 samples/sec	CrossEntropy=0.850065	SmoothL1=0.396461
Epoch[72] Batch [300]	Speed: 161.96 samples/sec	CrossEntropy=0.846731	SmoothL1=0.391989
Epoch[72] Batch [320]	Speed: 163.61 samples/sec	CrossEntropy=0.842494	SmoothL1=0.372269
Epoch[72] Batch [340]	Speed: 166.02 samples/sec	CrossEntropy=0.835263	SmoothL1=0.399203
Epoch[72] Train-CrossEntropy=0.874753
Epoch[72] Train-SmoothL1=0.406582
Epoch[72] Time cost=101.672
Epoch[72] Validation-aeroplane=0.367617
Epoch[72] Validation-bicycle=0.374449
Epoch[72] Validation-bird=0.154010
Epoch[72] Validation-boat=0.168738
Epoch[72] Validation-bottle=0.090909
Epoch[72] Validation-bus=0.470406
Epoch[72] Validation-car=0.484416
Epoch[72] Validation-cat=0.374894
Epoch[72] Validation-chair=0.166966
Epoch[72] Validation-cow=0.198471
Epoch[72] Validation-diningtable=0.304956
Epoch[72] Validation-dog=0.261930
Epoch[72] Validation-horse=0.429868
Epoch[72] Validation-motorbike=0.407107
Epoch[72] Validation-person=0.452190
Epoch[72] Validation-pottedplant=0.109948
Epoch[72] Validation-sheep=0.312926
Epoch[72] Validation-sofa=0.279438
Epoch[72] Validation-train=0.467252
Epoch[72] Validation-tvmonitor=0.333595
Epoch[72] Validation-mAP=0.310504
Epoch[73] Batch [20]	Speed: 157.70 samples/sec	CrossEntropy=0.845309	SmoothL1=0.380330
Epoch[73] Batch [40]	Speed: 161.69 samples/sec	CrossEntropy=0.840791	SmoothL1=0.381414
Epoch[73] Batch [60]	Speed: 160.10 samples/sec	CrossEntropy=0.848868	SmoothL1=0.385948
Epoch[73] Batch [80]	Speed: 161.39 samples/sec	CrossEntropy=0.844291	SmoothL1=0.397006
Epoch[73] Batch [100]	Speed: 158.13 samples/sec	CrossEntropy=0.841770	SmoothL1=0.385386
Epoch[73] Batch [120]	Speed: 162.77 samples/sec	CrossEntropy=0.839680	SmoothL1=0.398177
Epoch[73] Batch [140]	Speed: 161.41 samples/sec	CrossEntropy=0.839018	SmoothL1=0.389087
Epoch[73] Batch [160]	Speed: 161.30 samples/sec	CrossEntropy=0.838122	SmoothL1=0.390432
Epoch[73] Batch [180]	Speed: 160.80 samples/sec	CrossEntropy=0.827491	SmoothL1=0.400980
Epoch[73] Batch [200]	Speed: 163.05 samples/sec	CrossEntropy=0.824852	SmoothL1=0.366059
Epoch[73] Batch [220]	Speed: 163.22 samples/sec	CrossEntropy=0.830566	SmoothL1=0.387531
Epoch[73] Batch [240]	Speed: 164.27 samples/sec	CrossEntropy=0.853804	SmoothL1=0.393591
Epoch[73] Batch [260]	Speed: 161.42 samples/sec	CrossEntropy=0.847474	SmoothL1=0.384535
Epoch[73] Batch [280]	Speed: 164.18 samples/sec	CrossEntropy=0.841871	SmoothL1=0.392397
Epoch[73] Batch [300]	Speed: 161.29 samples/sec	CrossEntropy=0.838487	SmoothL1=0.375222
Epoch[73] Batch [320]	Speed: 161.52 samples/sec	CrossEntropy=0.834941	SmoothL1=0.372623
Epoch[73] Batch [340]	Speed: 165.65 samples/sec	CrossEntropy=0.845591	SmoothL1=0.388154
Epoch[73] Train-CrossEntropy=0.849371
Epoch[73] Train-SmoothL1=0.383998
Epoch[73] Time cost=102.240
Epoch[73] Validation-aeroplane=0.399265
Epoch[73] Validation-bicycle=0.412796
Epoch[73] Validation-bird=0.157471
Epoch[73] Validation-boat=0.186990
Epoch[73] Validation-bottle=0.090909
Epoch[73] Validation-bus=0.474906
Epoch[73] Validation-car=0.490271
Epoch[73] Validation-cat=0.378196
Epoch[73] Validation-chair=0.176503
Epoch[73] Validation-cow=0.207019
Epoch[73] Validation-diningtable=0.362289
Epoch[73] Validation-dog=0.307694
Epoch[73] Validation-horse=0.495282
Epoch[73] Validation-motorbike=0.465631
Epoch[73] Validation-person=0.451791
Epoch[73] Validation-pottedplant=0.112891
Epoch[73] Validation-sheep=0.291078
Epoch[73] Validation-sofa=0.264641
Epoch[73] Validation-train=0.511171
Epoch[73] Validation-tvmonitor=0.324221
Epoch[73] Validation-mAP=0.328051
Epoch[74] Batch [20]	Speed: 160.00 samples/sec	CrossEntropy=0.846955	SmoothL1=0.387104
Epoch[74] Batch [40]	Speed: 162.46 samples/sec	CrossEntropy=0.825498	SmoothL1=0.377762
Epoch[74] Batch [60]	Speed: 161.20 samples/sec	CrossEntropy=0.825181	SmoothL1=0.382642
Epoch[74] Batch [80]	Speed: 162.83 samples/sec	CrossEntropy=0.839717	SmoothL1=0.378003
Epoch[74] Batch [100]	Speed: 164.05 samples/sec	CrossEntropy=0.838558	SmoothL1=0.387243
Epoch[74] Batch [120]	Speed: 162.28 samples/sec	CrossEntropy=0.829164	SmoothL1=0.402416
Epoch[74] Batch [140]	Speed: 163.17 samples/sec	CrossEntropy=0.832666	SmoothL1=0.387718
Epoch[74] Batch [160]	Speed: 163.24 samples/sec	CrossEntropy=0.840663	SmoothL1=0.388867
Epoch[74] Batch [180]	Speed: 161.58 samples/sec	CrossEntropy=0.829009	SmoothL1=0.379743
Epoch[74] Batch [200]	Speed: 162.94 samples/sec	CrossEntropy=0.827217	SmoothL1=0.359741
Epoch[74] Batch [220]	Speed: 163.11 samples/sec	CrossEntropy=0.837825	SmoothL1=0.384128
Epoch[74] Batch [240]	Speed: 163.72 samples/sec	CrossEntropy=0.841565	SmoothL1=0.380277
Epoch[74] Batch [260]	Speed: 164.05 samples/sec	CrossEntropy=0.834410	SmoothL1=0.383904
Epoch[74] Batch [280]	Speed: 163.25 samples/sec	CrossEntropy=0.828509	SmoothL1=0.388339
Epoch[74] Batch [300]	Speed: 163.54 samples/sec	CrossEntropy=0.856492	SmoothL1=0.383298
Epoch[74] Batch [320]	Speed: 162.77 samples/sec	CrossEntropy=0.822886	SmoothL1=0.360134
Epoch[74] Batch [340]	Speed: 165.99 samples/sec	CrossEntropy=0.843007	SmoothL1=0.382235
Epoch[74] Train-CrossEntropy=0.891172
Epoch[74] Train-SmoothL1=0.369369
Epoch[74] Time cost=101.456
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0075.params"
Epoch[74] Validation-aeroplane=0.381666
Epoch[74] Validation-bicycle=0.403363
Epoch[74] Validation-bird=0.184130
Epoch[74] Validation-boat=0.190947
Epoch[74] Validation-bottle=0.093121
Epoch[74] Validation-bus=0.448074
Epoch[74] Validation-car=0.493158
Epoch[74] Validation-cat=0.373700
Epoch[74] Validation-chair=0.191989
Epoch[74] Validation-cow=0.199798
Epoch[74] Validation-diningtable=0.353470
Epoch[74] Validation-dog=0.311457
Epoch[74] Validation-horse=0.496105
Epoch[74] Validation-motorbike=0.434809
Epoch[74] Validation-person=0.436928
Epoch[74] Validation-pottedplant=0.122310
Epoch[74] Validation-sheep=0.302908
Epoch[74] Validation-sofa=0.252470
Epoch[74] Validation-train=0.498430
Epoch[74] Validation-tvmonitor=0.293003
Epoch[74] Validation-mAP=0.323092
Epoch[75] Batch [20]	Speed: 162.01 samples/sec	CrossEntropy=0.841816	SmoothL1=0.389126
Epoch[75] Batch [40]	Speed: 160.67 samples/sec	CrossEntropy=0.823110	SmoothL1=0.379470
Epoch[75] Batch [60]	Speed: 163.39 samples/sec	CrossEntropy=0.842820	SmoothL1=0.372783
Epoch[75] Batch [80]	Speed: 162.84 samples/sec	CrossEntropy=0.831452	SmoothL1=0.392044
Epoch[75] Batch [100]	Speed: 163.64 samples/sec	CrossEntropy=0.831946	SmoothL1=0.382434
Epoch[75] Batch [120]	Speed: 164.28 samples/sec	CrossEntropy=0.826042	SmoothL1=0.394929
Epoch[75] Batch [140]	Speed: 163.63 samples/sec	CrossEntropy=0.831421	SmoothL1=0.377275
Epoch[75] Batch [160]	Speed: 164.66 samples/sec	CrossEntropy=0.834364	SmoothL1=0.391084
Epoch[75] Batch [180]	Speed: 162.48 samples/sec	CrossEntropy=0.811515	SmoothL1=0.382658
Epoch[75] Batch [200]	Speed: 162.58 samples/sec	CrossEntropy=0.832306	SmoothL1=0.381863
Epoch[75] Batch [220]	Speed: 162.23 samples/sec	CrossEntropy=0.840426	SmoothL1=0.385021
Epoch[75] Batch [240]	Speed: 162.04 samples/sec	CrossEntropy=0.840216	SmoothL1=0.381383
Epoch[75] Batch [260]	Speed: 161.39 samples/sec	CrossEntropy=0.829582	SmoothL1=0.381319
Epoch[75] Batch [280]	Speed: 163.29 samples/sec	CrossEntropy=0.846434	SmoothL1=0.402162
Epoch[75] Batch [300]	Speed: 157.14 samples/sec	CrossEntropy=0.844745	SmoothL1=0.387608
Epoch[75] Batch [320]	Speed: 155.05 samples/sec	CrossEntropy=0.833330	SmoothL1=0.380869
Epoch[75] Batch [340]	Speed: 162.68 samples/sec	CrossEntropy=0.838767	SmoothL1=0.368222
Epoch[75] Train-CrossEntropy=0.846320
Epoch[75] Train-SmoothL1=0.367042
Epoch[75] Time cost=102.106
Epoch[75] Validation-aeroplane=0.384084
Epoch[75] Validation-bicycle=0.380012
Epoch[75] Validation-bird=0.174392
Epoch[75] Validation-boat=0.153496
Epoch[75] Validation-bottle=0.090909
Epoch[75] Validation-bus=0.463102
Epoch[75] Validation-car=0.505550
Epoch[75] Validation-cat=0.375517
Epoch[75] Validation-chair=0.165803
Epoch[75] Validation-cow=0.112581
Epoch[75] Validation-diningtable=0.305276
Epoch[75] Validation-dog=0.275211
Epoch[75] Validation-horse=0.420270
Epoch[75] Validation-motorbike=0.423891
Epoch[75] Validation-person=0.430315
Epoch[75] Validation-pottedplant=0.117947
Epoch[75] Validation-sheep=0.303600
Epoch[75] Validation-sofa=0.257000
Epoch[75] Validation-train=0.468325
Epoch[75] Validation-tvmonitor=0.353804
Epoch[75] Validation-mAP=0.308054
Epoch[76] Batch [20]	Speed: 146.46 samples/sec	CrossEntropy=0.842926	SmoothL1=0.406894
Epoch[76] Batch [40]	Speed: 154.85 samples/sec	CrossEntropy=0.818759	SmoothL1=0.374026
Epoch[76] Batch [60]	Speed: 153.42 samples/sec	CrossEntropy=0.845419	SmoothL1=0.372970
Epoch[76] Batch [80]	Speed: 152.57 samples/sec	CrossEntropy=0.829558	SmoothL1=0.372292
Epoch[76] Batch [100]	Speed: 156.75 samples/sec	CrossEntropy=0.832418	SmoothL1=0.379311
Epoch[76] Batch [120]	Speed: 155.46 samples/sec	CrossEntropy=0.822205	SmoothL1=0.387633
Epoch[76] Batch [140]	Speed: 158.77 samples/sec	CrossEntropy=0.826718	SmoothL1=0.376208
Epoch[76] Batch [160]	Speed: 157.56 samples/sec	CrossEntropy=0.834081	SmoothL1=0.371043
Epoch[76] Batch [180]	Speed: 159.04 samples/sec	CrossEntropy=0.812036	SmoothL1=0.387325
Epoch[76] Batch [200]	Speed: 159.59 samples/sec	CrossEntropy=0.829061	SmoothL1=0.381879
Epoch[76] Batch [220]	Speed: 159.75 samples/sec	CrossEntropy=0.829580	SmoothL1=0.375555
Epoch[76] Batch [240]	Speed: 157.36 samples/sec	CrossEntropy=0.830561	SmoothL1=0.392183
Epoch[76] Batch [260]	Speed: 144.98 samples/sec	CrossEntropy=0.838726	SmoothL1=0.388378
Epoch[76] Batch [280]	Speed: 156.49 samples/sec	CrossEntropy=0.840101	SmoothL1=0.400062
Epoch[76] Batch [300]	Speed: 152.51 samples/sec	CrossEntropy=0.842540	SmoothL1=0.400186
Epoch[76] Batch [320]	Speed: 157.02 samples/sec	CrossEntropy=0.824808	SmoothL1=0.382651
Epoch[76] Batch [340]	Speed: 161.67 samples/sec	CrossEntropy=0.847667	SmoothL1=0.384540
Epoch[76] Train-CrossEntropy=0.833689
Epoch[76] Train-SmoothL1=0.383732
Epoch[76] Time cost=106.331
Epoch[76] Validation-aeroplane=0.409411
Epoch[76] Validation-bicycle=0.414148
Epoch[76] Validation-bird=0.176435
Epoch[76] Validation-boat=0.202393
Epoch[76] Validation-bottle=0.092209
Epoch[76] Validation-bus=0.477446
Epoch[76] Validation-car=0.517169
Epoch[76] Validation-cat=0.380939
Epoch[76] Validation-chair=0.160860
Epoch[76] Validation-cow=0.171696
Epoch[76] Validation-diningtable=0.330915
Epoch[76] Validation-dog=0.308866
Epoch[76] Validation-horse=0.462356
Epoch[76] Validation-motorbike=0.482323
Epoch[76] Validation-person=0.433476
Epoch[76] Validation-pottedplant=0.117411
Epoch[76] Validation-sheep=0.309905
Epoch[76] Validation-sofa=0.322619
Epoch[76] Validation-train=0.488824
Epoch[76] Validation-tvmonitor=0.332429
Epoch[76] Validation-mAP=0.329591
Epoch[77] Batch [20]	Speed: 151.20 samples/sec	CrossEntropy=0.818098	SmoothL1=0.380842
Epoch[77] Batch [40]	Speed: 159.60 samples/sec	CrossEntropy=0.822171	SmoothL1=0.393382
Epoch[77] Batch [60]	Speed: 159.28 samples/sec	CrossEntropy=0.826969	SmoothL1=0.376677
Epoch[77] Batch [80]	Speed: 159.14 samples/sec	CrossEntropy=0.834810	SmoothL1=0.390737
Epoch[77] Batch [100]	Speed: 158.26 samples/sec	CrossEntropy=0.819756	SmoothL1=0.377010
Epoch[77] Batch [120]	Speed: 156.52 samples/sec	CrossEntropy=0.812625	SmoothL1=0.376804
Epoch[77] Batch [140]	Speed: 155.05 samples/sec	CrossEntropy=0.816709	SmoothL1=0.391482
Epoch[77] Batch [160]	Speed: 160.01 samples/sec	CrossEntropy=0.826465	SmoothL1=0.367879
Epoch[77] Batch [180]	Speed: 158.49 samples/sec	CrossEntropy=0.820964	SmoothL1=0.376618
Epoch[77] Batch [200]	Speed: 157.63 samples/sec	CrossEntropy=0.819754	SmoothL1=0.374537
Epoch[77] Batch [220]	Speed: 155.86 samples/sec	CrossEntropy=0.823732	SmoothL1=0.374502
Epoch[77] Batch [240]	Speed: 158.88 samples/sec	CrossEntropy=0.835552	SmoothL1=0.375019
Epoch[77] Batch [260]	Speed: 161.45 samples/sec	CrossEntropy=0.845694	SmoothL1=0.386362
Epoch[77] Batch [280]	Speed: 157.79 samples/sec	CrossEntropy=0.835755	SmoothL1=0.390675
Epoch[77] Batch [300]	Speed: 157.95 samples/sec	CrossEntropy=0.833563	SmoothL1=0.372305
Epoch[77] Batch [320]	Speed: 161.29 samples/sec	CrossEntropy=0.832375	SmoothL1=0.366539
Epoch[77] Batch [340]	Speed: 163.91 samples/sec	CrossEntropy=0.842119	SmoothL1=0.375479
Epoch[77] Train-CrossEntropy=0.852169
Epoch[77] Train-SmoothL1=0.382854
Epoch[77] Time cost=104.114
Epoch[77] Validation-aeroplane=0.407434
Epoch[77] Validation-bicycle=0.396642
Epoch[77] Validation-bird=0.163479
Epoch[77] Validation-boat=0.177888
Epoch[77] Validation-bottle=0.092972
Epoch[77] Validation-bus=0.492672
Epoch[77] Validation-car=0.518119
Epoch[77] Validation-cat=0.369225
Epoch[77] Validation-chair=0.185080
Epoch[77] Validation-cow=0.152228
Epoch[77] Validation-diningtable=0.372396
Epoch[77] Validation-dog=0.283192
Epoch[77] Validation-horse=0.496978
Epoch[77] Validation-motorbike=0.453223
Epoch[77] Validation-person=0.436651
Epoch[77] Validation-pottedplant=0.113648
Epoch[77] Validation-sheep=0.312971
Epoch[77] Validation-sofa=0.262500
Epoch[77] Validation-train=0.508339
Epoch[77] Validation-tvmonitor=0.331166
Epoch[77] Validation-mAP=0.326340
Epoch[78] Batch [20]	Speed: 151.65 samples/sec	CrossEntropy=0.821397	SmoothL1=0.380022
Epoch[78] Batch [40]	Speed: 160.41 samples/sec	CrossEntropy=0.818902	SmoothL1=0.395266
Epoch[78] Batch [60]	Speed: 158.21 samples/sec	CrossEntropy=0.830126	SmoothL1=0.376126
Epoch[78] Batch [80]	Speed: 157.33 samples/sec	CrossEntropy=0.825666	SmoothL1=0.376791
Epoch[78] Batch [100]	Speed: 154.75 samples/sec	CrossEntropy=0.825255	SmoothL1=0.372256
Epoch[78] Batch [120]	Speed: 156.51 samples/sec	CrossEntropy=0.816294	SmoothL1=0.384840
Epoch[78] Batch [140]	Speed: 159.55 samples/sec	CrossEntropy=0.817166	SmoothL1=0.375244
Epoch[78] Batch [160]	Speed: 161.60 samples/sec	CrossEntropy=0.831094	SmoothL1=0.375770
Epoch[78] Batch [180]	Speed: 157.84 samples/sec	CrossEntropy=0.817170	SmoothL1=0.364468
Epoch[78] Batch [200]	Speed: 159.58 samples/sec	CrossEntropy=0.824626	SmoothL1=0.376366
Epoch[78] Batch [220]	Speed: 154.27 samples/sec	CrossEntropy=0.824107	SmoothL1=0.363298
Epoch[78] Batch [240]	Speed: 156.24 samples/sec	CrossEntropy=0.824367	SmoothL1=0.383690
Epoch[78] Batch [260]	Speed: 156.63 samples/sec	CrossEntropy=0.830898	SmoothL1=0.402511
Epoch[78] Batch [280]	Speed: 155.09 samples/sec	CrossEntropy=0.822421	SmoothL1=0.388445
Epoch[78] Batch [300]	Speed: 153.89 samples/sec	CrossEntropy=0.840368	SmoothL1=0.395451
Epoch[78] Batch [320]	Speed: 158.13 samples/sec	CrossEntropy=0.824998	SmoothL1=0.362273
Epoch[78] Batch [340]	Speed: 159.67 samples/sec	CrossEntropy=0.836770	SmoothL1=0.374639
Epoch[78] Train-CrossEntropy=0.852737
Epoch[78] Train-SmoothL1=0.384942
Epoch[78] Time cost=105.175
Epoch[78] Validation-aeroplane=0.415886
Epoch[78] Validation-bicycle=0.422197
Epoch[78] Validation-bird=0.183928
Epoch[78] Validation-boat=0.177823
Epoch[78] Validation-bottle=0.090909
Epoch[78] Validation-bus=0.473004
Epoch[78] Validation-car=0.504113
Epoch[78] Validation-cat=0.389677
Epoch[78] Validation-chair=0.166107
Epoch[78] Validation-cow=0.190938
Epoch[78] Validation-diningtable=0.370343
Epoch[78] Validation-dog=0.289849
Epoch[78] Validation-horse=0.508504
Epoch[78] Validation-motorbike=0.469293
Epoch[78] Validation-person=0.470092
Epoch[78] Validation-pottedplant=0.117637
Epoch[78] Validation-sheep=0.314514
Epoch[78] Validation-sofa=0.272392
Epoch[78] Validation-train=0.496198
Epoch[78] Validation-tvmonitor=0.360029
Epoch[78] Validation-mAP=0.334172
Epoch[79] Batch [20]	Speed: 151.05 samples/sec	CrossEntropy=0.836119	SmoothL1=0.395242
Epoch[79] Batch [40]	Speed: 158.68 samples/sec	CrossEntropy=0.817104	SmoothL1=0.371174
Epoch[79] Batch [60]	Speed: 158.90 samples/sec	CrossEntropy=0.824582	SmoothL1=0.385670
Epoch[79] Batch [80]	Speed: 154.47 samples/sec	CrossEntropy=0.831845	SmoothL1=0.382787
Epoch[79] Batch [100]	Speed: 158.09 samples/sec	CrossEntropy=0.818229	SmoothL1=0.369296
Epoch[79] Batch [120]	Speed: 152.41 samples/sec	CrossEntropy=0.825464	SmoothL1=0.393206
Epoch[79] Batch [140]	Speed: 158.30 samples/sec	CrossEntropy=0.826517	SmoothL1=0.377667
Epoch[79] Batch [160]	Speed: 160.08 samples/sec	CrossEntropy=0.825186	SmoothL1=0.371231
Epoch[79] Batch [180]	Speed: 159.93 samples/sec	CrossEntropy=0.808350	SmoothL1=0.382373
Epoch[79] Batch [200]	Speed: 156.56 samples/sec	CrossEntropy=0.815857	SmoothL1=0.352535
Epoch[79] Batch [220]	Speed: 160.10 samples/sec	CrossEntropy=0.820807	SmoothL1=0.368802
Epoch[79] Batch [240]	Speed: 157.45 samples/sec	CrossEntropy=0.805241	SmoothL1=0.383147
Epoch[79] Batch [260]	Speed: 157.75 samples/sec	CrossEntropy=0.822365	SmoothL1=0.380612
Epoch[79] Batch [280]	Speed: 161.17 samples/sec	CrossEntropy=0.821670	SmoothL1=0.382589
Epoch[79] Batch [300]	Speed: 156.70 samples/sec	CrossEntropy=0.812143	SmoothL1=0.372333
Update[13761]: Change learning rate to 4.00000e-04
Epoch[79] Batch [320]	Speed: 158.54 samples/sec	CrossEntropy=0.820651	SmoothL1=0.378059
Epoch[79] Batch [340]	Speed: 158.55 samples/sec	CrossEntropy=0.851964	SmoothL1=0.374500
Epoch[79] Train-CrossEntropy=0.866921
Epoch[79] Train-SmoothL1=0.351645
Epoch[79] Time cost=104.945
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0080.params"
Epoch[79] Validation-aeroplane=0.411709
Epoch[79] Validation-bicycle=0.416502
Epoch[79] Validation-bird=0.202048
Epoch[79] Validation-boat=0.199863
Epoch[79] Validation-bottle=0.093537
Epoch[79] Validation-bus=0.449590
Epoch[79] Validation-car=0.508216
Epoch[79] Validation-cat=0.434395
Epoch[79] Validation-chair=0.176581
Epoch[79] Validation-cow=0.176729
Epoch[79] Validation-diningtable=0.375402
Epoch[79] Validation-dog=0.299784
Epoch[79] Validation-horse=0.472366
Epoch[79] Validation-motorbike=0.473648
Epoch[79] Validation-person=0.487452
Epoch[79] Validation-pottedplant=0.118903
Epoch[79] Validation-sheep=0.277023
Epoch[79] Validation-sofa=0.207500
Epoch[79] Validation-train=0.472687
Epoch[79] Validation-tvmonitor=0.365285
Epoch[79] Validation-mAP=0.330961
Epoch[80] Batch [20]	Speed: 148.72 samples/sec	CrossEntropy=0.829483	SmoothL1=0.379754
Epoch[80] Batch [40]	Speed: 158.71 samples/sec	CrossEntropy=0.806980	SmoothL1=0.372709
Epoch[80] Batch [60]	Speed: 156.90 samples/sec	CrossEntropy=0.809555	SmoothL1=0.367406
Epoch[80] Batch [80]	Speed: 153.28 samples/sec	CrossEntropy=0.813428	SmoothL1=0.376654
Epoch[80] Batch [100]	Speed: 157.47 samples/sec	CrossEntropy=0.810330	SmoothL1=0.360383
Epoch[80] Batch [120]	Speed: 157.88 samples/sec	CrossEntropy=0.798659	SmoothL1=0.370686
Epoch[80] Batch [140]	Speed: 155.87 samples/sec	CrossEntropy=0.799551	SmoothL1=0.365422
Epoch[80] Batch [160]	Speed: 160.76 samples/sec	CrossEntropy=0.808640	SmoothL1=0.376174
Epoch[80] Batch [180]	Speed: 159.07 samples/sec	CrossEntropy=0.809626	SmoothL1=0.375985
Epoch[80] Batch [200]	Speed: 155.46 samples/sec	CrossEntropy=0.789521	SmoothL1=0.345991
Epoch[80] Batch [220]	Speed: 155.40 samples/sec	CrossEntropy=0.796217	SmoothL1=0.369955
Epoch[80] Batch [240]	Speed: 157.63 samples/sec	CrossEntropy=0.812828	SmoothL1=0.369985
Epoch[80] Batch [260]	Speed: 159.44 samples/sec	CrossEntropy=0.795108	SmoothL1=0.372145
Epoch[80] Batch [280]	Speed: 154.24 samples/sec	CrossEntropy=0.809419	SmoothL1=0.376457
Epoch[80] Batch [300]	Speed: 157.83 samples/sec	CrossEntropy=0.803782	SmoothL1=0.361624
Epoch[80] Batch [320]	Speed: 157.85 samples/sec	CrossEntropy=0.797417	SmoothL1=0.356638
Epoch[80] Batch [340]	Speed: 160.86 samples/sec	CrossEntropy=0.817330	SmoothL1=0.359988
Epoch[80] Train-CrossEntropy=0.817313
Epoch[80] Train-SmoothL1=0.351015
Epoch[80] Time cost=105.385
Epoch[80] Validation-aeroplane=0.436167
Epoch[80] Validation-bicycle=0.458730
Epoch[80] Validation-bird=0.201488
Epoch[80] Validation-boat=0.214743
Epoch[80] Validation-bottle=0.093945
Epoch[80] Validation-bus=0.499747
Epoch[80] Validation-car=0.534266
Epoch[80] Validation-cat=0.424918
Epoch[80] Validation-chair=0.193021
Epoch[80] Validation-cow=0.227299
Epoch[80] Validation-diningtable=0.417003
Epoch[80] Validation-dog=0.346123
Epoch[80] Validation-horse=0.521372
Epoch[80] Validation-motorbike=0.510246
Epoch[80] Validation-person=0.500304
Epoch[80] Validation-pottedplant=0.128031
Epoch[80] Validation-sheep=0.324806
Epoch[80] Validation-sofa=0.301743
Epoch[80] Validation-train=0.533571
Epoch[80] Validation-tvmonitor=0.368927
Epoch[80] Validation-mAP=0.361823
Epoch[81] Batch [20]	Speed: 150.09 samples/sec	CrossEntropy=0.788452	SmoothL1=0.368564
Epoch[81] Batch [40]	Speed: 155.91 samples/sec	CrossEntropy=0.792084	SmoothL1=0.366381
Epoch[81] Batch [60]	Speed: 155.34 samples/sec	CrossEntropy=0.797635	SmoothL1=0.370968
Epoch[81] Batch [80]	Speed: 161.10 samples/sec	CrossEntropy=0.801256	SmoothL1=0.370194
Epoch[81] Batch [100]	Speed: 159.03 samples/sec	CrossEntropy=0.795582	SmoothL1=0.360379
Epoch[81] Batch [120]	Speed: 157.58 samples/sec	CrossEntropy=0.786326	SmoothL1=0.375256
Epoch[81] Batch [140]	Speed: 156.60 samples/sec	CrossEntropy=0.795661	SmoothL1=0.354480
Epoch[81] Batch [160]	Speed: 155.06 samples/sec	CrossEntropy=0.812392	SmoothL1=0.373947
Epoch[81] Batch [180]	Speed: 155.25 samples/sec	CrossEntropy=0.790099	SmoothL1=0.358350
Epoch[81] Batch [200]	Speed: 157.55 samples/sec	CrossEntropy=0.781888	SmoothL1=0.365132
Epoch[81] Batch [220]	Speed: 155.59 samples/sec	CrossEntropy=0.798963	SmoothL1=0.360625
Epoch[81] Batch [240]	Speed: 159.53 samples/sec	CrossEntropy=0.786564	SmoothL1=0.372286
Epoch[81] Batch [260]	Speed: 156.28 samples/sec	CrossEntropy=0.793352	SmoothL1=0.377024
Epoch[81] Batch [280]	Speed: 158.00 samples/sec	CrossEntropy=0.804182	SmoothL1=0.377969
Epoch[81] Batch [300]	Speed: 158.74 samples/sec	CrossEntropy=0.801708	SmoothL1=0.364275
Epoch[81] Batch [320]	Speed: 160.94 samples/sec	CrossEntropy=0.787192	SmoothL1=0.354675
Epoch[81] Batch [340]	Speed: 160.03 samples/sec	CrossEntropy=0.798378	SmoothL1=0.370790
Epoch[81] Train-CrossEntropy=0.821002
Epoch[81] Train-SmoothL1=0.344811
Epoch[81] Time cost=105.217
Epoch[81] Validation-aeroplane=0.436816
Epoch[81] Validation-bicycle=0.442025
Epoch[81] Validation-bird=0.203900
Epoch[81] Validation-boat=0.217431
Epoch[81] Validation-bottle=0.094654
Epoch[81] Validation-bus=0.511412
Epoch[81] Validation-car=0.532819
Epoch[81] Validation-cat=0.436963
Epoch[81] Validation-chair=0.189047
Epoch[81] Validation-cow=0.227956
Epoch[81] Validation-diningtable=0.408208
Epoch[81] Validation-dog=0.339927
Epoch[81] Validation-horse=0.522765
Epoch[81] Validation-motorbike=0.505590
Epoch[81] Validation-person=0.502621
Epoch[81] Validation-pottedplant=0.132882
Epoch[81] Validation-sheep=0.337175
Epoch[81] Validation-sofa=0.307766
Epoch[81] Validation-train=0.525722
Epoch[81] Validation-tvmonitor=0.369905
Epoch[81] Validation-mAP=0.362279
Epoch[82] Batch [20]	Speed: 151.36 samples/sec	CrossEntropy=0.797737	SmoothL1=0.383838
Epoch[82] Batch [40]	Speed: 156.15 samples/sec	CrossEntropy=0.782485	SmoothL1=0.354828
Epoch[82] Batch [60]	Speed: 152.23 samples/sec	CrossEntropy=0.798998	SmoothL1=0.363623
Epoch[82] Batch [80]	Speed: 157.18 samples/sec	CrossEntropy=0.796356	SmoothL1=0.363178
Epoch[82] Batch [100]	Speed: 158.08 samples/sec	CrossEntropy=0.787325	SmoothL1=0.365983
Epoch[82] Batch [120]	Speed: 155.84 samples/sec	CrossEntropy=0.792913	SmoothL1=0.369557
Epoch[82] Batch [140]	Speed: 156.29 samples/sec	CrossEntropy=0.802554	SmoothL1=0.356547
Epoch[82] Batch [160]	Speed: 153.68 samples/sec	CrossEntropy=0.811905	SmoothL1=0.356387
Epoch[82] Batch [180]	Speed: 154.94 samples/sec	CrossEntropy=0.783542	SmoothL1=0.359586
Epoch[82] Batch [200]	Speed: 155.33 samples/sec	CrossEntropy=0.805413	SmoothL1=0.370719
Epoch[82] Batch [220]	Speed: 153.37 samples/sec	CrossEntropy=0.789505	SmoothL1=0.349230
Epoch[82] Batch [240]	Speed: 156.06 samples/sec	CrossEntropy=0.815207	SmoothL1=0.371942
Epoch[82] Batch [260]	Speed: 157.63 samples/sec	CrossEntropy=0.804554	SmoothL1=0.374411
Epoch[82] Batch [280]	Speed: 156.60 samples/sec	CrossEntropy=0.807849	SmoothL1=0.370510
Epoch[82] Batch [300]	Speed: 157.21 samples/sec	CrossEntropy=0.803566	SmoothL1=0.372942
Epoch[82] Batch [320]	Speed: 159.05 samples/sec	CrossEntropy=0.792624	SmoothL1=0.348882
Epoch[82] Batch [340]	Speed: 159.97 samples/sec	CrossEntropy=0.805300	SmoothL1=0.364365
Epoch[82] Train-CrossEntropy=0.787384
Epoch[82] Train-SmoothL1=0.359911
Epoch[82] Time cost=105.719
Epoch[82] Validation-aeroplane=0.446161
Epoch[82] Validation-bicycle=0.462598
Epoch[82] Validation-bird=0.204160
Epoch[82] Validation-boat=0.226976
Epoch[82] Validation-bottle=0.094912
Epoch[82] Validation-bus=0.500964
Epoch[82] Validation-car=0.529112
Epoch[82] Validation-cat=0.439062
Epoch[82] Validation-chair=0.201275
Epoch[82] Validation-cow=0.218723
Epoch[82] Validation-diningtable=0.399238
Epoch[82] Validation-dog=0.348251
Epoch[82] Validation-horse=0.529953
Epoch[82] Validation-motorbike=0.507923
Epoch[82] Validation-person=0.508644
Epoch[82] Validation-pottedplant=0.134178
Epoch[82] Validation-sheep=0.331916
Epoch[82] Validation-sofa=0.329870
Epoch[82] Validation-train=0.528229
Epoch[82] Validation-tvmonitor=0.356882
Epoch[82] Validation-mAP=0.364951
Epoch[83] Batch [20]	Speed: 144.94 samples/sec	CrossEntropy=0.809077	SmoothL1=0.368078
Epoch[83] Batch [40]	Speed: 157.76 samples/sec	CrossEntropy=0.787972	SmoothL1=0.371349
Epoch[83] Batch [60]	Speed: 156.10 samples/sec	CrossEntropy=0.787118	SmoothL1=0.357810
Epoch[83] Batch [80]	Speed: 158.09 samples/sec	CrossEntropy=0.782455	SmoothL1=0.359929
Epoch[83] Batch [100]	Speed: 158.71 samples/sec	CrossEntropy=0.792050	SmoothL1=0.354024
Epoch[83] Batch [120]	Speed: 156.29 samples/sec	CrossEntropy=0.789939	SmoothL1=0.371341
Epoch[83] Batch [140]	Speed: 154.47 samples/sec	CrossEntropy=0.783493	SmoothL1=0.368961
Epoch[83] Batch [160]	Speed: 159.74 samples/sec	CrossEntropy=0.791253	SmoothL1=0.367613
Epoch[83] Batch [180]	Speed: 157.15 samples/sec	CrossEntropy=0.779746	SmoothL1=0.368507
Epoch[83] Batch [200]	Speed: 155.29 samples/sec	CrossEntropy=0.792078	SmoothL1=0.365817
Epoch[83] Batch [220]	Speed: 157.45 samples/sec	CrossEntropy=0.786922	SmoothL1=0.356395
Epoch[83] Batch [240]	Speed: 154.67 samples/sec	CrossEntropy=0.800596	SmoothL1=0.362422
Epoch[83] Batch [260]	Speed: 151.27 samples/sec	CrossEntropy=0.794874	SmoothL1=0.381976
Epoch[83] Batch [280]	Speed: 158.27 samples/sec	CrossEntropy=0.793206	SmoothL1=0.381390
Epoch[83] Batch [300]	Speed: 158.00 samples/sec	CrossEntropy=0.799039	SmoothL1=0.362701
Epoch[83] Batch [320]	Speed: 157.28 samples/sec	CrossEntropy=0.782025	SmoothL1=0.344345
Epoch[83] Batch [340]	Speed: 161.28 samples/sec	CrossEntropy=0.801287	SmoothL1=0.353216
Epoch[83] Train-CrossEntropy=0.816037
Epoch[83] Train-SmoothL1=0.341567
Epoch[83] Time cost=105.783
Epoch[83] Validation-aeroplane=0.430652
Epoch[83] Validation-bicycle=0.458910
Epoch[83] Validation-bird=0.191813
Epoch[83] Validation-boat=0.229389
Epoch[83] Validation-bottle=0.094747
Epoch[83] Validation-bus=0.515765
Epoch[83] Validation-car=0.533345
Epoch[83] Validation-cat=0.444601
Epoch[83] Validation-chair=0.209889
Epoch[83] Validation-cow=0.238630
Epoch[83] Validation-diningtable=0.396698
Epoch[83] Validation-dog=0.360818
Epoch[83] Validation-horse=0.534818
Epoch[83] Validation-motorbike=0.522175
Epoch[83] Validation-person=0.509463
Epoch[83] Validation-pottedplant=0.134880
Epoch[83] Validation-sheep=0.330157
Epoch[83] Validation-sofa=0.340583
Epoch[83] Validation-train=0.540209
Epoch[83] Validation-tvmonitor=0.387468
Epoch[83] Validation-mAP=0.370251
Epoch[84] Batch [20]	Speed: 155.94 samples/sec	CrossEntropy=0.786861	SmoothL1=0.364624
Epoch[84] Batch [40]	Speed: 156.05 samples/sec	CrossEntropy=0.803425	SmoothL1=0.374233
Epoch[84] Batch [60]	Speed: 156.84 samples/sec	CrossEntropy=0.810531	SmoothL1=0.371675
Epoch[84] Batch [80]	Speed: 156.05 samples/sec	CrossEntropy=0.799416	SmoothL1=0.384271
Epoch[84] Batch [100]	Speed: 151.87 samples/sec	CrossEntropy=0.787330	SmoothL1=0.358334
Epoch[84] Batch [120]	Speed: 153.83 samples/sec	CrossEntropy=0.794343	SmoothL1=0.362759
Epoch[84] Batch [140]	Speed: 156.37 samples/sec	CrossEntropy=0.797801	SmoothL1=0.359095
Epoch[84] Batch [160]	Speed: 158.22 samples/sec	CrossEntropy=0.787240	SmoothL1=0.360020
Epoch[84] Batch [180]	Speed: 153.57 samples/sec	CrossEntropy=0.774250	SmoothL1=0.357291
Epoch[84] Batch [200]	Speed: 151.70 samples/sec	CrossEntropy=0.790867	SmoothL1=0.347843
Epoch[84] Batch [220]	Speed: 156.68 samples/sec	CrossEntropy=0.782292	SmoothL1=0.355459
Epoch[84] Batch [240]	Speed: 155.22 samples/sec	CrossEntropy=0.785057	SmoothL1=0.360790
Epoch[84] Batch [260]	Speed: 157.93 samples/sec	CrossEntropy=0.790716	SmoothL1=0.362042
Epoch[84] Batch [280]	Speed: 158.81 samples/sec	CrossEntropy=0.804364	SmoothL1=0.384388
Epoch[84] Batch [300]	Speed: 155.11 samples/sec	CrossEntropy=0.790729	SmoothL1=0.370986
Epoch[84] Batch [320]	Speed: 157.50 samples/sec	CrossEntropy=0.783311	SmoothL1=0.355739
Epoch[84] Batch [340]	Speed: 160.29 samples/sec	CrossEntropy=0.799690	SmoothL1=0.360441
Epoch[84] Train-CrossEntropy=0.801406
Epoch[84] Train-SmoothL1=0.340746
Epoch[84] Time cost=106.030
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0085.params"
Epoch[84] Validation-aeroplane=0.442197
Epoch[84] Validation-bicycle=0.452838
Epoch[84] Validation-bird=0.204258
Epoch[84] Validation-boat=0.215069
Epoch[84] Validation-bottle=0.094303
Epoch[84] Validation-bus=0.535674
Epoch[84] Validation-car=0.531527
Epoch[84] Validation-cat=0.441611
Epoch[84] Validation-chair=0.206681
Epoch[84] Validation-cow=0.238077
Epoch[84] Validation-diningtable=0.391375
Epoch[84] Validation-dog=0.372415
Epoch[84] Validation-horse=0.532820
Epoch[84] Validation-motorbike=0.507052
Epoch[84] Validation-person=0.506637
Epoch[84] Validation-pottedplant=0.133948
Epoch[84] Validation-sheep=0.341764
Epoch[84] Validation-sofa=0.313267
Epoch[84] Validation-train=0.552279
Epoch[84] Validation-tvmonitor=0.374873
Epoch[84] Validation-mAP=0.369433
Epoch[85] Batch [20]	Speed: 149.19 samples/sec	CrossEntropy=0.793222	SmoothL1=0.364419
Epoch[85] Batch [40]	Speed: 154.61 samples/sec	CrossEntropy=0.782130	SmoothL1=0.367106
Epoch[85] Batch [60]	Speed: 154.96 samples/sec	CrossEntropy=0.789648	SmoothL1=0.353334
Epoch[85] Batch [80]	Speed: 156.47 samples/sec	CrossEntropy=0.803899	SmoothL1=0.367261
Epoch[85] Batch [100]	Speed: 153.52 samples/sec	CrossEntropy=0.789133	SmoothL1=0.354564
Epoch[85] Batch [120]	Speed: 155.16 samples/sec	CrossEntropy=0.783884	SmoothL1=0.383711
Epoch[85] Batch [140]	Speed: 159.27 samples/sec	CrossEntropy=0.782515	SmoothL1=0.364686
Epoch[85] Batch [160]	Speed: 154.47 samples/sec	CrossEntropy=0.802802	SmoothL1=0.347816
Epoch[85] Batch [180]	Speed: 156.20 samples/sec	CrossEntropy=0.785233	SmoothL1=0.354427
Epoch[85] Batch [200]	Speed: 158.33 samples/sec	CrossEntropy=0.785516	SmoothL1=0.356333
Epoch[85] Batch [220]	Speed: 156.94 samples/sec	CrossEntropy=0.796343	SmoothL1=0.371569
Epoch[85] Batch [240]	Speed: 152.08 samples/sec	CrossEntropy=0.798306	SmoothL1=0.365669
Epoch[85] Batch [260]	Speed: 156.75 samples/sec	CrossEntropy=0.802502	SmoothL1=0.371401
Epoch[85] Batch [280]	Speed: 156.66 samples/sec	CrossEntropy=0.780045	SmoothL1=0.368811
Epoch[85] Batch [300]	Speed: 156.15 samples/sec	CrossEntropy=0.790964	SmoothL1=0.355831
Epoch[85] Batch [320]	Speed: 155.88 samples/sec	CrossEntropy=0.780822	SmoothL1=0.359590
Epoch[85] Batch [340]	Speed: 162.11 samples/sec	CrossEntropy=0.809532	SmoothL1=0.350947
Epoch[85] Train-CrossEntropy=0.798085
Epoch[85] Train-SmoothL1=0.320436
Epoch[85] Time cost=106.100
Epoch[85] Validation-aeroplane=0.441864
Epoch[85] Validation-bicycle=0.452088
Epoch[85] Validation-bird=0.203193
Epoch[85] Validation-boat=0.228846
Epoch[85] Validation-bottle=0.095736
Epoch[85] Validation-bus=0.505209
Epoch[85] Validation-car=0.530561
Epoch[85] Validation-cat=0.455013
Epoch[85] Validation-chair=0.206548
Epoch[85] Validation-cow=0.238135
Epoch[85] Validation-diningtable=0.409240
Epoch[85] Validation-dog=0.361274
Epoch[85] Validation-horse=0.528694
Epoch[85] Validation-motorbike=0.512211
Epoch[85] Validation-person=0.509594
Epoch[85] Validation-pottedplant=0.140318
Epoch[85] Validation-sheep=0.341780
Epoch[85] Validation-sofa=0.343370
Epoch[85] Validation-train=0.537913
Epoch[85] Validation-tvmonitor=0.367444
Epoch[85] Validation-mAP=0.370452
Epoch[86] Batch [20]	Speed: 152.62 samples/sec	CrossEntropy=0.791598	SmoothL1=0.365441
Epoch[86] Batch [40]	Speed: 156.16 samples/sec	CrossEntropy=0.778478	SmoothL1=0.357363
Epoch[86] Batch [60]	Speed: 156.41 samples/sec	CrossEntropy=0.809782	SmoothL1=0.358212
Epoch[86] Batch [80]	Speed: 156.46 samples/sec	CrossEntropy=0.793594	SmoothL1=0.371539
Epoch[86] Batch [100]	Speed: 154.23 samples/sec	CrossEntropy=0.795745	SmoothL1=0.356368
Epoch[86] Batch [120]	Speed: 159.62 samples/sec	CrossEntropy=0.787581	SmoothL1=0.374115
Epoch[86] Batch [140]	Speed: 156.22 samples/sec	CrossEntropy=0.791834	SmoothL1=0.354920
Epoch[86] Batch [160]	Speed: 159.26 samples/sec	CrossEntropy=0.800619	SmoothL1=0.354748
Epoch[86] Batch [180]	Speed: 154.56 samples/sec	CrossEntropy=0.769183	SmoothL1=0.362156
Epoch[86] Batch [200]	Speed: 160.17 samples/sec	CrossEntropy=0.775913	SmoothL1=0.347354
Epoch[86] Batch [220]	Speed: 160.82 samples/sec	CrossEntropy=0.791093	SmoothL1=0.358477
Epoch[86] Batch [240]	Speed: 158.61 samples/sec	CrossEntropy=0.788087	SmoothL1=0.357334
Epoch[86] Batch [260]	Speed: 156.76 samples/sec	CrossEntropy=0.791917	SmoothL1=0.368179
Epoch[86] Batch [280]	Speed: 156.25 samples/sec	CrossEntropy=0.800438	SmoothL1=0.376289
Epoch[86] Batch [300]	Speed: 157.73 samples/sec	CrossEntropy=0.783080	SmoothL1=0.372915
Epoch[86] Batch [320]	Speed: 156.36 samples/sec	CrossEntropy=0.782910	SmoothL1=0.344719
Epoch[86] Batch [340]	Speed: 161.42 samples/sec	CrossEntropy=0.787267	SmoothL1=0.350783
Epoch[86] Train-CrossEntropy=0.834577
Epoch[86] Train-SmoothL1=0.338477
Epoch[86] Time cost=105.151
Epoch[86] Validation-aeroplane=0.465040
Epoch[86] Validation-bicycle=0.453971
Epoch[86] Validation-bird=0.207905
Epoch[86] Validation-boat=0.227029
Epoch[86] Validation-bottle=0.094257
Epoch[86] Validation-bus=0.511632
Epoch[86] Validation-car=0.534309
Epoch[86] Validation-cat=0.459548
Epoch[86] Validation-chair=0.208871
Epoch[86] Validation-cow=0.228059
Epoch[86] Validation-diningtable=0.400447
Epoch[86] Validation-dog=0.353617
Epoch[86] Validation-horse=0.528947
Epoch[86] Validation-motorbike=0.517163
Epoch[86] Validation-person=0.511599
Epoch[86] Validation-pottedplant=0.131207
Epoch[86] Validation-sheep=0.350295
Epoch[86] Validation-sofa=0.334591
Epoch[86] Validation-train=0.553766
Epoch[86] Validation-tvmonitor=0.365841
Epoch[86] Validation-mAP=0.371905
Epoch[87] Batch [20]	Speed: 149.10 samples/sec	CrossEntropy=0.784513	SmoothL1=0.373819
Epoch[87] Batch [40]	Speed: 157.99 samples/sec	CrossEntropy=0.786809	SmoothL1=0.360566
Epoch[87] Batch [60]	Speed: 158.10 samples/sec	CrossEntropy=0.794843	SmoothL1=0.364002
Epoch[87] Batch [80]	Speed: 157.35 samples/sec	CrossEntropy=0.784989	SmoothL1=0.355474
Epoch[87] Batch [100]	Speed: 152.64 samples/sec	CrossEntropy=0.799203	SmoothL1=0.367171
Epoch[87] Batch [120]	Speed: 153.63 samples/sec	CrossEntropy=0.787917	SmoothL1=0.374428
Epoch[87] Batch [140]	Speed: 158.53 samples/sec	CrossEntropy=0.774078	SmoothL1=0.349658
Epoch[87] Batch [160]	Speed: 157.00 samples/sec	CrossEntropy=0.782942	SmoothL1=0.360234
Epoch[87] Batch [180]	Speed: 157.82 samples/sec	CrossEntropy=0.786351	SmoothL1=0.367394
Epoch[87] Batch [200]	Speed: 156.22 samples/sec	CrossEntropy=0.788288	SmoothL1=0.346149
Epoch[87] Batch [220]	Speed: 155.79 samples/sec	CrossEntropy=0.781188	SmoothL1=0.355722
Epoch[87] Batch [240]	Speed: 155.62 samples/sec	CrossEntropy=0.807400	SmoothL1=0.370178
Epoch[87] Batch [260]	Speed: 160.41 samples/sec	CrossEntropy=0.797528	SmoothL1=0.386924
Epoch[87] Batch [280]	Speed: 157.28 samples/sec	CrossEntropy=0.778627	SmoothL1=0.368963
Epoch[87] Batch [300]	Speed: 155.65 samples/sec	CrossEntropy=0.778826	SmoothL1=0.366837
Epoch[87] Batch [320]	Speed: 156.77 samples/sec	CrossEntropy=0.777465	SmoothL1=0.348810
Epoch[87] Batch [340]	Speed: 166.37 samples/sec	CrossEntropy=0.791852	SmoothL1=0.360112
Epoch[87] Train-CrossEntropy=0.830734
Epoch[87] Train-SmoothL1=0.384631
Epoch[87] Time cost=105.174
Epoch[87] Validation-aeroplane=0.455145
Epoch[87] Validation-bicycle=0.465228
Epoch[87] Validation-bird=0.200902
Epoch[87] Validation-boat=0.224383
Epoch[87] Validation-bottle=0.094097
Epoch[87] Validation-bus=0.529517
Epoch[87] Validation-car=0.535802
Epoch[87] Validation-cat=0.451775
Epoch[87] Validation-chair=0.196274
Epoch[87] Validation-cow=0.233389
Epoch[87] Validation-diningtable=0.399979
Epoch[87] Validation-dog=0.381150
Epoch[87] Validation-horse=0.535754
Epoch[87] Validation-motorbike=0.514468
Epoch[87] Validation-person=0.512661
Epoch[87] Validation-pottedplant=0.132913
Epoch[87] Validation-sheep=0.348790
Epoch[87] Validation-sofa=0.339856
Epoch[87] Validation-train=0.565682
Epoch[87] Validation-tvmonitor=0.366457
Epoch[87] Validation-mAP=0.374211
Epoch[88] Batch [20]	Speed: 148.79 samples/sec	CrossEntropy=0.782665	SmoothL1=0.362599
Epoch[88] Batch [40]	Speed: 160.40 samples/sec	CrossEntropy=0.788342	SmoothL1=0.359520
Epoch[88] Batch [60]	Speed: 161.48 samples/sec	CrossEntropy=0.789758	SmoothL1=0.359688
Epoch[88] Batch [80]	Speed: 159.23 samples/sec	CrossEntropy=0.801368	SmoothL1=0.365567
Epoch[88] Batch [100]	Speed: 159.68 samples/sec	CrossEntropy=0.796646	SmoothL1=0.356285
Epoch[88] Batch [120]	Speed: 155.15 samples/sec	CrossEntropy=0.780658	SmoothL1=0.370580
Epoch[88] Batch [140]	Speed: 163.02 samples/sec	CrossEntropy=0.776367	SmoothL1=0.367071
Epoch[88] Batch [160]	Speed: 158.46 samples/sec	CrossEntropy=0.791100	SmoothL1=0.362227
Epoch[88] Batch [180]	Speed: 158.92 samples/sec	CrossEntropy=0.780766	SmoothL1=0.348508
Epoch[88] Batch [200]	Speed: 158.53 samples/sec	CrossEntropy=0.779122	SmoothL1=0.357263
Epoch[88] Batch [220]	Speed: 155.81 samples/sec	CrossEntropy=0.795376	SmoothL1=0.356905
Epoch[88] Batch [240]	Speed: 154.61 samples/sec	CrossEntropy=0.779007	SmoothL1=0.350081
Epoch[88] Batch [260]	Speed: 157.00 samples/sec	CrossEntropy=0.792303	SmoothL1=0.368288
Epoch[88] Batch [280]	Speed: 156.99 samples/sec	CrossEntropy=0.773237	SmoothL1=0.367131
Epoch[88] Batch [300]	Speed: 158.39 samples/sec	CrossEntropy=0.799144	SmoothL1=0.373508
Epoch[88] Batch [320]	Speed: 157.75 samples/sec	CrossEntropy=0.772707	SmoothL1=0.351992
Epoch[88] Batch [340]	Speed: 160.82 samples/sec	CrossEntropy=0.801417	SmoothL1=0.357164
Epoch[88] Train-CrossEntropy=0.810697
Epoch[88] Train-SmoothL1=0.344284
Epoch[88] Time cost=105.066
Epoch[88] Validation-aeroplane=0.437546
Epoch[88] Validation-bicycle=0.466529
Epoch[88] Validation-bird=0.203548
Epoch[88] Validation-boat=0.223464
Epoch[88] Validation-bottle=0.093878
Epoch[88] Validation-bus=0.527286
Epoch[88] Validation-car=0.540426
Epoch[88] Validation-cat=0.451564
Epoch[88] Validation-chair=0.213833
Epoch[88] Validation-cow=0.238912
Epoch[88] Validation-diningtable=0.406330
Epoch[88] Validation-dog=0.367311
Epoch[88] Validation-horse=0.541221
Epoch[88] Validation-motorbike=0.514342
Epoch[88] Validation-person=0.507982
Epoch[88] Validation-pottedplant=0.131400
Epoch[88] Validation-sheep=0.343704
Epoch[88] Validation-sofa=0.346464
Epoch[88] Validation-train=0.549141
Epoch[88] Validation-tvmonitor=0.383107
Epoch[88] Validation-mAP=0.374399
Epoch[89] Batch [20]	Speed: 148.13 samples/sec	CrossEntropy=0.779875	SmoothL1=0.370255
Epoch[89] Batch [40]	Speed: 159.00 samples/sec	CrossEntropy=0.786738	SmoothL1=0.361342
Epoch[89] Batch [60]	Speed: 156.10 samples/sec	CrossEntropy=0.784571	SmoothL1=0.367933
Epoch[89] Batch [80]	Speed: 158.10 samples/sec	CrossEntropy=0.782342	SmoothL1=0.369261
Epoch[89] Batch [100]	Speed: 153.65 samples/sec	CrossEntropy=0.786168	SmoothL1=0.355001
Epoch[89] Batch [120]	Speed: 162.92 samples/sec	CrossEntropy=0.767180	SmoothL1=0.355400
Epoch[89] Batch [140]	Speed: 161.00 samples/sec	CrossEntropy=0.785941	SmoothL1=0.363815
Epoch[89] Batch [160]	Speed: 162.71 samples/sec	CrossEntropy=0.785724	SmoothL1=0.362330
Epoch[89] Batch [180]	Speed: 163.35 samples/sec	CrossEntropy=0.784312	SmoothL1=0.358476
Epoch[89] Batch [200]	Speed: 164.09 samples/sec	CrossEntropy=0.780279	SmoothL1=0.355348
Epoch[89] Batch [220]	Speed: 163.37 samples/sec	CrossEntropy=0.777912	SmoothL1=0.360348
Epoch[89] Batch [240]	Speed: 164.48 samples/sec	CrossEntropy=0.790804	SmoothL1=0.354994
Epoch[89] Batch [260]	Speed: 163.90 samples/sec	CrossEntropy=0.775488	SmoothL1=0.364018
Epoch[89] Batch [280]	Speed: 162.70 samples/sec	CrossEntropy=0.781001	SmoothL1=0.368827
Epoch[89] Batch [300]	Speed: 162.74 samples/sec	CrossEntropy=0.796308	SmoothL1=0.379162
Epoch[89] Batch [320]	Speed: 160.14 samples/sec	CrossEntropy=0.787252	SmoothL1=0.355771
Epoch[89] Batch [340]	Speed: 161.08 samples/sec	CrossEntropy=0.794346	SmoothL1=0.357327
Epoch[89] Train-CrossEntropy=0.819793
Epoch[89] Train-SmoothL1=0.380201
Epoch[89] Time cost=103.139
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0090.params"
Epoch[89] Validation-aeroplane=0.446537
Epoch[89] Validation-bicycle=0.471886
Epoch[89] Validation-bird=0.211305
Epoch[89] Validation-boat=0.217196
Epoch[89] Validation-bottle=0.094017
Epoch[89] Validation-bus=0.518462
Epoch[89] Validation-car=0.541979
Epoch[89] Validation-cat=0.452302
Epoch[89] Validation-chair=0.212255
Epoch[89] Validation-cow=0.242249
Epoch[89] Validation-diningtable=0.419468
Epoch[89] Validation-dog=0.358156
Epoch[89] Validation-horse=0.530181
Epoch[89] Validation-motorbike=0.514852
Epoch[89] Validation-person=0.516099
Epoch[89] Validation-pottedplant=0.141237
Epoch[89] Validation-sheep=0.342283
Epoch[89] Validation-sofa=0.349045
Epoch[89] Validation-train=0.542666
Epoch[89] Validation-tvmonitor=0.372884
Epoch[89] Validation-mAP=0.374753
Epoch[90] Batch [20]	Speed: 147.59 samples/sec	CrossEntropy=0.788970	SmoothL1=0.365039
Epoch[90] Batch [40]	Speed: 158.58 samples/sec	CrossEntropy=0.777686	SmoothL1=0.345042
Epoch[90] Batch [60]	Speed: 157.56 samples/sec	CrossEntropy=0.792887	SmoothL1=0.349168
Epoch[90] Batch [80]	Speed: 157.08 samples/sec	CrossEntropy=0.788490	SmoothL1=0.355947
Epoch[90] Batch [100]	Speed: 157.83 samples/sec	CrossEntropy=0.794291	SmoothL1=0.359994
Epoch[90] Batch [120]	Speed: 160.15 samples/sec	CrossEntropy=0.768193	SmoothL1=0.362118
Epoch[90] Batch [140]	Speed: 159.32 samples/sec	CrossEntropy=0.775263	SmoothL1=0.346889
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Epoch[90] Batch [180]	Speed: 157.76 samples/sec	CrossEntropy=0.772888	SmoothL1=0.352570
Epoch[90] Batch [200]	Speed: 154.48 samples/sec	CrossEntropy=0.776364	SmoothL1=0.352497
Epoch[90] Batch [220]	Speed: 158.33 samples/sec	CrossEntropy=0.790501	SmoothL1=0.354549
Epoch[90] Batch [240]	Speed: 157.87 samples/sec	CrossEntropy=0.789775	SmoothL1=0.354072
Epoch[90] Batch [260]	Speed: 158.14 samples/sec	CrossEntropy=0.776953	SmoothL1=0.356129
Epoch[90] Batch [280]	Speed: 156.39 samples/sec	CrossEntropy=0.796901	SmoothL1=0.358044
Epoch[90] Batch [300]	Speed: 154.42 samples/sec	CrossEntropy=0.805901	SmoothL1=0.360822
Epoch[90] Batch [320]	Speed: 158.07 samples/sec	CrossEntropy=0.758984	SmoothL1=0.336580
Epoch[90] Batch [340]	Speed: 159.38 samples/sec	CrossEntropy=0.785043	SmoothL1=0.354539
Epoch[90] Train-CrossEntropy=0.796447
Epoch[90] Train-SmoothL1=0.353696
Epoch[90] Time cost=105.182
Epoch[90] Validation-aeroplane=0.442645
Epoch[90] Validation-bicycle=0.463385
Epoch[90] Validation-bird=0.201762
Epoch[90] Validation-boat=0.226465
Epoch[90] Validation-bottle=0.094493
Epoch[90] Validation-bus=0.512223
Epoch[90] Validation-car=0.533383
Epoch[90] Validation-cat=0.463962
Epoch[90] Validation-chair=0.214300
Epoch[90] Validation-cow=0.243701
Epoch[90] Validation-diningtable=0.420952
Epoch[90] Validation-dog=0.367383
Epoch[90] Validation-horse=0.531426
Epoch[90] Validation-motorbike=0.514987
Epoch[90] Validation-person=0.510866
Epoch[90] Validation-pottedplant=0.136233
Epoch[90] Validation-sheep=0.350098
Epoch[90] Validation-sofa=0.357375
Epoch[90] Validation-train=0.547685
Epoch[90] Validation-tvmonitor=0.370398
Epoch[90] Validation-mAP=0.375186
Epoch[91] Batch [20]	Speed: 148.02 samples/sec	CrossEntropy=0.789653	SmoothL1=0.367425
Epoch[91] Batch [40]	Speed: 159.38 samples/sec	CrossEntropy=0.779435	SmoothL1=0.359304
Epoch[91] Batch [60]	Speed: 161.49 samples/sec	CrossEntropy=0.772492	SmoothL1=0.345592
Epoch[91] Batch [80]	Speed: 159.09 samples/sec	CrossEntropy=0.789591	SmoothL1=0.361029
Epoch[91] Batch [100]	Speed: 158.12 samples/sec	CrossEntropy=0.788269	SmoothL1=0.352747
Epoch[91] Batch [120]	Speed: 159.91 samples/sec	CrossEntropy=0.785279	SmoothL1=0.367177
Epoch[91] Batch [140]	Speed: 159.00 samples/sec	CrossEntropy=0.778887	SmoothL1=0.366464
Epoch[91] Batch [160]	Speed: 159.88 samples/sec	CrossEntropy=0.789836	SmoothL1=0.363142
Epoch[91] Batch [180]	Speed: 149.73 samples/sec	CrossEntropy=0.778724	SmoothL1=0.351447
Epoch[91] Batch [200]	Speed: 158.05 samples/sec	CrossEntropy=0.777988	SmoothL1=0.356881
Epoch[91] Batch [220]	Speed: 157.95 samples/sec	CrossEntropy=0.766372	SmoothL1=0.344927
Epoch[91] Batch [240]	Speed: 149.05 samples/sec	CrossEntropy=0.780108	SmoothL1=0.351442
Epoch[91] Batch [260]	Speed: 162.85 samples/sec	CrossEntropy=0.777957	SmoothL1=0.363689
Epoch[91] Batch [280]	Speed: 156.24 samples/sec	CrossEntropy=0.776405	SmoothL1=0.363481
Epoch[91] Batch [300]	Speed: 158.27 samples/sec	CrossEntropy=0.786509	SmoothL1=0.374446
Epoch[91] Batch [320]	Speed: 158.26 samples/sec	CrossEntropy=0.786001	SmoothL1=0.343818
Epoch[91] Batch [340]	Speed: 162.78 samples/sec	CrossEntropy=0.788533	SmoothL1=0.357010
Epoch[91] Train-CrossEntropy=0.786825
Epoch[91] Train-SmoothL1=0.362081
Epoch[91] Time cost=104.995
Epoch[91] Validation-aeroplane=0.449201
Epoch[91] Validation-bicycle=0.467181
Epoch[91] Validation-bird=0.208356
Epoch[91] Validation-boat=0.227738
Epoch[91] Validation-bottle=0.095362
Epoch[91] Validation-bus=0.528224
Epoch[91] Validation-car=0.547121
Epoch[91] Validation-cat=0.457715
Epoch[91] Validation-chair=0.215571
Epoch[91] Validation-cow=0.250672
Epoch[91] Validation-diningtable=0.415894
Epoch[91] Validation-dog=0.390868
Epoch[91] Validation-horse=0.562110
Epoch[91] Validation-motorbike=0.510491
Epoch[91] Validation-person=0.512452
Epoch[91] Validation-pottedplant=0.137944
Epoch[91] Validation-sheep=0.356497
Epoch[91] Validation-sofa=0.354902
Epoch[91] Validation-train=0.556097
Epoch[91] Validation-tvmonitor=0.379671
Epoch[91] Validation-mAP=0.381203
Epoch[92] Batch [20]	Speed: 149.47 samples/sec	CrossEntropy=0.777455	SmoothL1=0.364798
Epoch[92] Batch [40]	Speed: 151.93 samples/sec	CrossEntropy=0.777823	SmoothL1=0.363530
Epoch[92] Batch [60]	Speed: 159.09 samples/sec	CrossEntropy=0.794462	SmoothL1=0.357238
Epoch[92] Batch [80]	Speed: 159.09 samples/sec	CrossEntropy=0.779481	SmoothL1=0.360491
Epoch[92] Batch [100]	Speed: 157.00 samples/sec	CrossEntropy=0.781673	SmoothL1=0.355034
Epoch[92] Batch [120]	Speed: 160.81 samples/sec	CrossEntropy=0.781199	SmoothL1=0.366214
Epoch[92] Batch [140]	Speed: 160.43 samples/sec	CrossEntropy=0.772544	SmoothL1=0.359478
Epoch[92] Batch [160]	Speed: 155.34 samples/sec	CrossEntropy=0.782305	SmoothL1=0.350131
Epoch[92] Batch [180]	Speed: 156.97 samples/sec	CrossEntropy=0.770166	SmoothL1=0.355094
Epoch[92] Batch [200]	Speed: 159.79 samples/sec	CrossEntropy=0.775386	SmoothL1=0.349238
Epoch[92] Batch [220]	Speed: 160.56 samples/sec	CrossEntropy=0.774556	SmoothL1=0.345872
Epoch[92] Batch [240]	Speed: 155.14 samples/sec	CrossEntropy=0.782629	SmoothL1=0.360934
Epoch[92] Batch [260]	Speed: 156.65 samples/sec	CrossEntropy=0.778866	SmoothL1=0.356583
Epoch[92] Batch [280]	Speed: 157.88 samples/sec	CrossEntropy=0.787773	SmoothL1=0.363969
Epoch[92] Batch [300]	Speed: 156.81 samples/sec	CrossEntropy=0.791507	SmoothL1=0.370697
Epoch[92] Batch [320]	Speed: 160.96 samples/sec	CrossEntropy=0.779705	SmoothL1=0.345032
Epoch[92] Batch [340]	Speed: 161.45 samples/sec	CrossEntropy=0.790400	SmoothL1=0.359340
Epoch[92] Train-CrossEntropy=0.806582
Epoch[92] Train-SmoothL1=0.368766
Epoch[92] Time cost=104.915
Epoch[92] Validation-aeroplane=0.449867
Epoch[92] Validation-bicycle=0.458186
Epoch[92] Validation-bird=0.213822
Epoch[92] Validation-boat=0.212525
Epoch[92] Validation-bottle=0.095064
Epoch[92] Validation-bus=0.522851
Epoch[92] Validation-car=0.541090
Epoch[92] Validation-cat=0.457626
Epoch[92] Validation-chair=0.200347
Epoch[92] Validation-cow=0.242255
Epoch[92] Validation-diningtable=0.425335
Epoch[92] Validation-dog=0.352747
Epoch[92] Validation-horse=0.538853
Epoch[92] Validation-motorbike=0.520317
Epoch[92] Validation-person=0.517739
Epoch[92] Validation-pottedplant=0.136582
Epoch[92] Validation-sheep=0.362545
Epoch[92] Validation-sofa=0.339957
Epoch[92] Validation-train=0.560081
Epoch[92] Validation-tvmonitor=0.367665
Epoch[92] Validation-mAP=0.375773
Epoch[93] Batch [20]	Speed: 153.77 samples/sec	CrossEntropy=0.786350	SmoothL1=0.362559
Epoch[93] Batch [40]	Speed: 159.06 samples/sec	CrossEntropy=0.771128	SmoothL1=0.353324
Epoch[93] Batch [60]	Speed: 157.12 samples/sec	CrossEntropy=0.786907	SmoothL1=0.359716
Epoch[93] Batch [80]	Speed: 155.85 samples/sec	CrossEntropy=0.796993	SmoothL1=0.362763
Epoch[93] Batch [100]	Speed: 161.89 samples/sec	CrossEntropy=0.783907	SmoothL1=0.347593
Epoch[93] Batch [120]	Speed: 161.37 samples/sec	CrossEntropy=0.774883	SmoothL1=0.366364
Epoch[93] Batch [140]	Speed: 155.08 samples/sec	CrossEntropy=0.787754	SmoothL1=0.346002
Epoch[93] Batch [160]	Speed: 161.25 samples/sec	CrossEntropy=0.787346	SmoothL1=0.358188
Epoch[93] Batch [180]	Speed: 159.25 samples/sec	CrossEntropy=0.770067	SmoothL1=0.373237
Epoch[93] Batch [200]	Speed: 157.91 samples/sec	CrossEntropy=0.774206	SmoothL1=0.354350
Epoch[93] Batch [220]	Speed: 157.28 samples/sec	CrossEntropy=0.781562	SmoothL1=0.351963
Epoch[93] Batch [240]	Speed: 157.64 samples/sec	CrossEntropy=0.781375	SmoothL1=0.356352
Epoch[93] Batch [260]	Speed: 155.25 samples/sec	CrossEntropy=0.780088	SmoothL1=0.374357
Epoch[93] Batch [280]	Speed: 154.91 samples/sec	CrossEntropy=0.786190	SmoothL1=0.368700
Epoch[93] Batch [300]	Speed: 157.82 samples/sec	CrossEntropy=0.787447	SmoothL1=0.365818
Epoch[93] Batch [320]	Speed: 160.52 samples/sec	CrossEntropy=0.759058	SmoothL1=0.343663
Epoch[93] Batch [340]	Speed: 158.52 samples/sec	CrossEntropy=0.805105	SmoothL1=0.344393
Epoch[93] Train-CrossEntropy=0.794166
Epoch[93] Train-SmoothL1=0.322307
Epoch[93] Time cost=104.387
Epoch[93] Validation-aeroplane=0.452409
Epoch[93] Validation-bicycle=0.467002
Epoch[93] Validation-bird=0.202976
Epoch[93] Validation-boat=0.223368
Epoch[93] Validation-bottle=0.095650
Epoch[93] Validation-bus=0.513444
Epoch[93] Validation-car=0.536188
Epoch[93] Validation-cat=0.468333
Epoch[93] Validation-chair=0.211789
Epoch[93] Validation-cow=0.221137
Epoch[93] Validation-diningtable=0.424897
Epoch[93] Validation-dog=0.360478
Epoch[93] Validation-horse=0.537273
Epoch[93] Validation-motorbike=0.516218
Epoch[93] Validation-person=0.516096
Epoch[93] Validation-pottedplant=0.141463
Epoch[93] Validation-sheep=0.357731
Epoch[93] Validation-sofa=0.350308
Epoch[93] Validation-train=0.565711
Epoch[93] Validation-tvmonitor=0.359859
Epoch[93] Validation-mAP=0.376116
Epoch[94] Batch [20]	Speed: 148.42 samples/sec	CrossEntropy=0.789188	SmoothL1=0.369482
Epoch[94] Batch [40]	Speed: 158.09 samples/sec	CrossEntropy=0.765535	SmoothL1=0.340120
Epoch[94] Batch [60]	Speed: 159.71 samples/sec	CrossEntropy=0.784360	SmoothL1=0.364762
Epoch[94] Batch [80]	Speed: 157.17 samples/sec	CrossEntropy=0.793580	SmoothL1=0.377327
Epoch[94] Batch [100]	Speed: 156.33 samples/sec	CrossEntropy=0.775284	SmoothL1=0.348654
Epoch[94] Batch [120]	Speed: 157.23 samples/sec	CrossEntropy=0.784123	SmoothL1=0.369603
Epoch[94] Batch [140]	Speed: 159.47 samples/sec	CrossEntropy=0.791532	SmoothL1=0.366196
Epoch[94] Batch [160]	Speed: 160.07 samples/sec	CrossEntropy=0.796734	SmoothL1=0.357396
Epoch[94] Batch [180]	Speed: 157.23 samples/sec	CrossEntropy=0.765398	SmoothL1=0.345612
Epoch[94] Batch [200]	Speed: 160.23 samples/sec	CrossEntropy=0.784862	SmoothL1=0.345501
Epoch[94] Batch [220]	Speed: 157.70 samples/sec	CrossEntropy=0.765112	SmoothL1=0.342371
Epoch[94] Batch [240]	Speed: 159.42 samples/sec	CrossEntropy=0.782798	SmoothL1=0.356001
Epoch[94] Batch [260]	Speed: 161.00 samples/sec	CrossEntropy=0.791077	SmoothL1=0.372526
Epoch[94] Batch [280]	Speed: 154.64 samples/sec	CrossEntropy=0.786970	SmoothL1=0.363300
Epoch[94] Batch [300]	Speed: 158.03 samples/sec	CrossEntropy=0.782772	SmoothL1=0.358574
Epoch[94] Batch [320]	Speed: 161.46 samples/sec	CrossEntropy=0.772924	SmoothL1=0.348544
Epoch[94] Batch [340]	Speed: 162.11 samples/sec	CrossEntropy=0.809551	SmoothL1=0.346001
Epoch[94] Train-CrossEntropy=0.757383
Epoch[94] Train-SmoothL1=0.328567
Epoch[94] Time cost=104.561
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0095.params"
Epoch[94] Validation-aeroplane=0.454366
Epoch[94] Validation-bicycle=0.478301
Epoch[94] Validation-bird=0.211675
Epoch[94] Validation-boat=0.233480
Epoch[94] Validation-bottle=0.095234
Epoch[94] Validation-bus=0.530658
Epoch[94] Validation-car=0.544194
Epoch[94] Validation-cat=0.449721
Epoch[94] Validation-chair=0.213935
Epoch[94] Validation-cow=0.228519
Epoch[94] Validation-diningtable=0.414389
Epoch[94] Validation-dog=0.363993
Epoch[94] Validation-horse=0.543782
Epoch[94] Validation-motorbike=0.522664
Epoch[94] Validation-person=0.519291
Epoch[94] Validation-pottedplant=0.136774
Epoch[94] Validation-sheep=0.364387
Epoch[94] Validation-sofa=0.345058
Epoch[94] Validation-train=0.559237
Epoch[94] Validation-tvmonitor=0.364733
Epoch[94] Validation-mAP=0.378720
Epoch[95] Batch [20]	Speed: 148.49 samples/sec	CrossEntropy=0.783691	SmoothL1=0.371791
Epoch[95] Batch [40]	Speed: 158.78 samples/sec	CrossEntropy=0.779457	SmoothL1=0.352301
Epoch[95] Batch [60]	Speed: 158.15 samples/sec	CrossEntropy=0.796256	SmoothL1=0.367645
Epoch[95] Batch [80]	Speed: 160.65 samples/sec	CrossEntropy=0.776471	SmoothL1=0.351114
Epoch[95] Batch [100]	Speed: 157.45 samples/sec	CrossEntropy=0.783671	SmoothL1=0.358614
Epoch[95] Batch [120]	Speed: 158.21 samples/sec	CrossEntropy=0.770063	SmoothL1=0.366256
Epoch[95] Batch [140]	Speed: 160.71 samples/sec	CrossEntropy=0.779936	SmoothL1=0.360878
Epoch[95] Batch [160]	Speed: 159.52 samples/sec	CrossEntropy=0.782592	SmoothL1=0.362284
Epoch[95] Batch [180]	Speed: 158.50 samples/sec	CrossEntropy=0.768775	SmoothL1=0.347199
Epoch[95] Batch [200]	Speed: 157.43 samples/sec	CrossEntropy=0.765374	SmoothL1=0.340870
Epoch[95] Batch [220]	Speed: 154.70 samples/sec	CrossEntropy=0.777174	SmoothL1=0.346404
Epoch[95] Batch [240]	Speed: 158.14 samples/sec	CrossEntropy=0.783563	SmoothL1=0.354375
Epoch[95] Batch [260]	Speed: 161.66 samples/sec	CrossEntropy=0.786598	SmoothL1=0.373246
Epoch[95] Batch [280]	Speed: 155.32 samples/sec	CrossEntropy=0.788368	SmoothL1=0.372497
Epoch[95] Batch [300]	Speed: 160.11 samples/sec	CrossEntropy=0.780904	SmoothL1=0.359264
Epoch[95] Batch [320]	Speed: 158.76 samples/sec	CrossEntropy=0.772212	SmoothL1=0.338623
Epoch[95] Batch [340]	Speed: 161.42 samples/sec	CrossEntropy=0.792920	SmoothL1=0.352446
Epoch[95] Train-CrossEntropy=0.823573
Epoch[95] Train-SmoothL1=0.376973
Epoch[95] Time cost=104.551
Epoch[95] Validation-aeroplane=0.450508
Epoch[95] Validation-bicycle=0.472709
Epoch[95] Validation-bird=0.209164
Epoch[95] Validation-boat=0.219174
Epoch[95] Validation-bottle=0.096770
Epoch[95] Validation-bus=0.516150
Epoch[95] Validation-car=0.541447
Epoch[95] Validation-cat=0.460724
Epoch[95] Validation-chair=0.210335
Epoch[95] Validation-cow=0.245031
Epoch[95] Validation-diningtable=0.419396
Epoch[95] Validation-dog=0.379640
Epoch[95] Validation-horse=0.551037
Epoch[95] Validation-motorbike=0.507965
Epoch[95] Validation-person=0.512860
Epoch[95] Validation-pottedplant=0.141927
Epoch[95] Validation-sheep=0.353638
Epoch[95] Validation-sofa=0.356101
Epoch[95] Validation-train=0.554368
Epoch[95] Validation-tvmonitor=0.371582
Epoch[95] Validation-mAP=0.378526
Epoch[96] Batch [20]	Speed: 150.01 samples/sec	CrossEntropy=0.780456	SmoothL1=0.367208
Epoch[96] Batch [40]	Speed: 158.89 samples/sec	CrossEntropy=0.781532	SmoothL1=0.364444
Epoch[96] Batch [60]	Speed: 157.53 samples/sec	CrossEntropy=0.784403	SmoothL1=0.362612
Epoch[96] Batch [80]	Speed: 156.41 samples/sec	CrossEntropy=0.803466	SmoothL1=0.378557
Epoch[96] Batch [100]	Speed: 154.96 samples/sec	CrossEntropy=0.792037	SmoothL1=0.352133
Epoch[96] Batch [120]	Speed: 157.17 samples/sec	CrossEntropy=0.778436	SmoothL1=0.370526
Epoch[96] Batch [140]	Speed: 159.79 samples/sec	CrossEntropy=0.778878	SmoothL1=0.351930
Epoch[96] Batch [160]	Speed: 158.35 samples/sec	CrossEntropy=0.791702	SmoothL1=0.363084
Epoch[96] Batch [180]	Speed: 156.78 samples/sec	CrossEntropy=0.761200	SmoothL1=0.363775
Epoch[96] Batch [200]	Speed: 161.45 samples/sec	CrossEntropy=0.778829	SmoothL1=0.333916
Epoch[96] Batch [220]	Speed: 157.36 samples/sec	CrossEntropy=0.781720	SmoothL1=0.358053
Epoch[96] Batch [240]	Speed: 162.10 samples/sec	CrossEntropy=0.776804	SmoothL1=0.354627
Epoch[96] Batch [260]	Speed: 158.11 samples/sec	CrossEntropy=0.784591	SmoothL1=0.356354
Epoch[96] Batch [280]	Speed: 157.83 samples/sec	CrossEntropy=0.797972	SmoothL1=0.373442
Epoch[96] Batch [300]	Speed: 157.23 samples/sec	CrossEntropy=0.791664	SmoothL1=0.378889
Epoch[96] Batch [320]	Speed: 161.22 samples/sec	CrossEntropy=0.764431	SmoothL1=0.344014
Epoch[96] Batch [340]	Speed: 161.74 samples/sec	CrossEntropy=0.787661	SmoothL1=0.367269
Epoch[96] Train-CrossEntropy=0.809851
Epoch[96] Train-SmoothL1=0.348425
Epoch[96] Time cost=104.647
Epoch[96] Validation-aeroplane=0.450673
Epoch[96] Validation-bicycle=0.470513
Epoch[96] Validation-bird=0.213744
Epoch[96] Validation-boat=0.212290
Epoch[96] Validation-bottle=0.095187
Epoch[96] Validation-bus=0.507079
Epoch[96] Validation-car=0.540164
Epoch[96] Validation-cat=0.461619
Epoch[96] Validation-chair=0.210107
Epoch[96] Validation-cow=0.242454
Epoch[96] Validation-diningtable=0.431273
Epoch[96] Validation-dog=0.368840
Epoch[96] Validation-horse=0.531553
Epoch[96] Validation-motorbike=0.513937
Epoch[96] Validation-person=0.514729
Epoch[96] Validation-pottedplant=0.140626
Epoch[96] Validation-sheep=0.357015
Epoch[96] Validation-sofa=0.356769
Epoch[96] Validation-train=0.551568
Epoch[96] Validation-tvmonitor=0.383013
Epoch[96] Validation-mAP=0.377658
Epoch[97] Batch [20]	Speed: 152.42 samples/sec	CrossEntropy=0.780352	SmoothL1=0.374803
Epoch[97] Batch [40]	Speed: 158.00 samples/sec	CrossEntropy=0.783711	SmoothL1=0.357652
Epoch[97] Batch [60]	Speed: 160.05 samples/sec	CrossEntropy=0.791793	SmoothL1=0.361840
Epoch[97] Batch [80]	Speed: 157.22 samples/sec	CrossEntropy=0.767804	SmoothL1=0.356735
Epoch[97] Batch [100]	Speed: 157.80 samples/sec	CrossEntropy=0.785555	SmoothL1=0.350665
Epoch[97] Batch [120]	Speed: 159.26 samples/sec	CrossEntropy=0.783132	SmoothL1=0.370335
Epoch[97] Batch [140]	Speed: 155.13 samples/sec	CrossEntropy=0.760519	SmoothL1=0.343950
Epoch[97] Batch [160]	Speed: 155.46 samples/sec	CrossEntropy=0.781019	SmoothL1=0.365258
Epoch[97] Batch [180]	Speed: 160.79 samples/sec	CrossEntropy=0.781972	SmoothL1=0.366871
Epoch[97] Batch [200]	Speed: 156.55 samples/sec	CrossEntropy=0.775469	SmoothL1=0.341384
Epoch[97] Batch [220]	Speed: 154.69 samples/sec	CrossEntropy=0.777068	SmoothL1=0.341813
Epoch[97] Batch [240]	Speed: 158.34 samples/sec	CrossEntropy=0.791926	SmoothL1=0.358073
Epoch[97] Batch [260]	Speed: 158.97 samples/sec	CrossEntropy=0.785858	SmoothL1=0.362807
Epoch[97] Batch [280]	Speed: 154.52 samples/sec	CrossEntropy=0.787849	SmoothL1=0.375542
Epoch[97] Batch [300]	Speed: 155.01 samples/sec	CrossEntropy=0.787989	SmoothL1=0.363919
Epoch[97] Batch [320]	Speed: 156.08 samples/sec	CrossEntropy=0.766608	SmoothL1=0.346291
Epoch[97] Batch [340]	Speed: 161.08 samples/sec	CrossEntropy=0.791360	SmoothL1=0.352916
Epoch[97] Train-CrossEntropy=0.771833
Epoch[97] Train-SmoothL1=0.391785
Epoch[97] Time cost=105.183
Epoch[97] Validation-aeroplane=0.455383
Epoch[97] Validation-bicycle=0.469331
Epoch[97] Validation-bird=0.206548
Epoch[97] Validation-boat=0.218931
Epoch[97] Validation-bottle=0.095441
Epoch[97] Validation-bus=0.525662
Epoch[97] Validation-car=0.544420
Epoch[97] Validation-cat=0.464369
Epoch[97] Validation-chair=0.212224
Epoch[97] Validation-cow=0.249081
Epoch[97] Validation-diningtable=0.426611
Epoch[97] Validation-dog=0.382524
Epoch[97] Validation-horse=0.539568
Epoch[97] Validation-motorbike=0.520773
Epoch[97] Validation-person=0.517646
Epoch[97] Validation-pottedplant=0.142474
Epoch[97] Validation-sheep=0.364217
Epoch[97] Validation-sofa=0.357266
Epoch[97] Validation-train=0.555423
Epoch[97] Validation-tvmonitor=0.384562
Epoch[97] Validation-mAP=0.381623
Epoch[98] Batch [20]	Speed: 152.82 samples/sec	CrossEntropy=0.787039	SmoothL1=0.362246
Epoch[98] Batch [40]	Speed: 156.90 samples/sec	CrossEntropy=0.769189	SmoothL1=0.353405
Epoch[98] Batch [60]	Speed: 159.58 samples/sec	CrossEntropy=0.778798	SmoothL1=0.351028
Epoch[98] Batch [80]	Speed: 157.49 samples/sec	CrossEntropy=0.782337	SmoothL1=0.365150
Epoch[98] Batch [100]	Speed: 158.42 samples/sec	CrossEntropy=0.781186	SmoothL1=0.349301
Epoch[98] Batch [120]	Speed: 157.69 samples/sec	CrossEntropy=0.779750	SmoothL1=0.359931
Epoch[98] Batch [140]	Speed: 154.33 samples/sec	CrossEntropy=0.767893	SmoothL1=0.348854
Epoch[98] Batch [160]	Speed: 159.60 samples/sec	CrossEntropy=0.787380	SmoothL1=0.337951
Epoch[98] Batch [180]	Speed: 160.32 samples/sec	CrossEntropy=0.757953	SmoothL1=0.355653
Epoch[98] Batch [200]	Speed: 156.40 samples/sec	CrossEntropy=0.770356	SmoothL1=0.342088
Epoch[98] Batch [220]	Speed: 160.95 samples/sec	CrossEntropy=0.773039	SmoothL1=0.354617
Epoch[98] Batch [240]	Speed: 156.65 samples/sec	CrossEntropy=0.789282	SmoothL1=0.358939
Epoch[98] Batch [260]	Speed: 155.22 samples/sec	CrossEntropy=0.773902	SmoothL1=0.364868
Epoch[98] Batch [280]	Speed: 159.07 samples/sec	CrossEntropy=0.790697	SmoothL1=0.368936
Epoch[98] Batch [300]	Speed: 156.59 samples/sec	CrossEntropy=0.780008	SmoothL1=0.361645
Epoch[98] Batch [320]	Speed: 158.00 samples/sec	CrossEntropy=0.769418	SmoothL1=0.329397
Epoch[98] Batch [340]	Speed: 164.18 samples/sec	CrossEntropy=0.778028	SmoothL1=0.359205
Epoch[98] Train-CrossEntropy=0.818858
Epoch[98] Train-SmoothL1=0.342663
Epoch[98] Time cost=104.405
Epoch[98] Validation-aeroplane=0.466187
Epoch[98] Validation-bicycle=0.474627
Epoch[98] Validation-bird=0.200433
Epoch[98] Validation-boat=0.218579
Epoch[98] Validation-bottle=0.094600
Epoch[98] Validation-bus=0.524706
Epoch[98] Validation-car=0.552133
Epoch[98] Validation-cat=0.469758
Epoch[98] Validation-chair=0.221126
Epoch[98] Validation-cow=0.260549
Epoch[98] Validation-diningtable=0.418858
Epoch[98] Validation-dog=0.370242
Epoch[98] Validation-horse=0.540315
Epoch[98] Validation-motorbike=0.522995
Epoch[98] Validation-person=0.518566
Epoch[98] Validation-pottedplant=0.139599
Epoch[98] Validation-sheep=0.363702
Epoch[98] Validation-sofa=0.355186
Epoch[98] Validation-train=0.567562
Epoch[98] Validation-tvmonitor=0.375164
Epoch[98] Validation-mAP=0.382744
Epoch[99] Batch [20]	Speed: 154.27 samples/sec	CrossEntropy=0.783612	SmoothL1=0.366186
Epoch[99] Batch [40]	Speed: 157.27 samples/sec	CrossEntropy=0.779018	SmoothL1=0.361510
Epoch[99] Batch [60]	Speed: 158.43 samples/sec	CrossEntropy=0.789703	SmoothL1=0.354370
Epoch[99] Batch [80]	Speed: 157.78 samples/sec	CrossEntropy=0.778110	SmoothL1=0.363135
Epoch[99] Batch [100]	Speed: 154.33 samples/sec	CrossEntropy=0.781575	SmoothL1=0.356656
Epoch[99] Batch [120]	Speed: 157.02 samples/sec	CrossEntropy=0.772625	SmoothL1=0.378001
Epoch[99] Batch [140]	Speed: 158.46 samples/sec	CrossEntropy=0.757470	SmoothL1=0.361407
Epoch[99] Batch [160]	Speed: 158.64 samples/sec	CrossEntropy=0.782058	SmoothL1=0.355338
Epoch[99] Batch [180]	Speed: 157.62 samples/sec	CrossEntropy=0.761039	SmoothL1=0.359665
Epoch[99] Batch [200]	Speed: 158.61 samples/sec	CrossEntropy=0.772387	SmoothL1=0.341417
Epoch[99] Batch [220]	Speed: 156.83 samples/sec	CrossEntropy=0.781195	SmoothL1=0.357492
Epoch[99] Batch [240]	Speed: 159.80 samples/sec	CrossEntropy=0.791523	SmoothL1=0.364662
Epoch[99] Batch [260]	Speed: 155.00 samples/sec	CrossEntropy=0.786372	SmoothL1=0.369933
Epoch[99] Batch [280]	Speed: 154.39 samples/sec	CrossEntropy=0.794083	SmoothL1=0.377880
Epoch[99] Batch [300]	Speed: 160.43 samples/sec	CrossEntropy=0.785205	SmoothL1=0.360398
Epoch[99] Batch [320]	Speed: 157.96 samples/sec	CrossEntropy=0.765153	SmoothL1=0.344379
Epoch[99] Batch [340]	Speed: 158.64 samples/sec	CrossEntropy=0.787106	SmoothL1=0.359045
Epoch[99] Train-CrossEntropy=0.803815
Epoch[99] Train-SmoothL1=0.362021
Epoch[99] Time cost=105.122
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0100.params"
Epoch[99] Validation-aeroplane=0.465934
Epoch[99] Validation-bicycle=0.479707
Epoch[99] Validation-bird=0.208444
Epoch[99] Validation-boat=0.233441
Epoch[99] Validation-bottle=0.094489
Epoch[99] Validation-bus=0.523852
Epoch[99] Validation-car=0.542428
Epoch[99] Validation-cat=0.460627
Epoch[99] Validation-chair=0.192256
Epoch[99] Validation-cow=0.238162
Epoch[99] Validation-diningtable=0.422082
Epoch[99] Validation-dog=0.387587
Epoch[99] Validation-horse=0.539456
Epoch[99] Validation-motorbike=0.526745
Epoch[99] Validation-person=0.516011
Epoch[99] Validation-pottedplant=0.139825
Epoch[99] Validation-sheep=0.356986
Epoch[99] Validation-sofa=0.348850
Epoch[99] Validation-train=0.558205
Epoch[99] Validation-tvmonitor=0.378573
Epoch[99] Validation-mAP=0.380683
Epoch[100] Batch [20]	Speed: 151.54 samples/sec	CrossEntropy=0.782609	SmoothL1=0.370988
Epoch[100] Batch [40]	Speed: 157.55 samples/sec	CrossEntropy=0.763948	SmoothL1=0.360031
Epoch[100] Batch [60]	Speed: 156.53 samples/sec	CrossEntropy=0.789153	SmoothL1=0.359654
Epoch[100] Batch [80]	Speed: 156.20 samples/sec	CrossEntropy=0.782466	SmoothL1=0.370747
Epoch[100] Batch [100]	Speed: 155.95 samples/sec	CrossEntropy=0.778974	SmoothL1=0.348561
Epoch[100] Batch [120]	Speed: 157.82 samples/sec	CrossEntropy=0.780074	SmoothL1=0.371170
Epoch[100] Batch [140]	Speed: 159.71 samples/sec	CrossEntropy=0.748967	SmoothL1=0.352971
Epoch[100] Batch [160]	Speed: 156.71 samples/sec	CrossEntropy=0.790800	SmoothL1=0.344768
Epoch[100] Batch [180]	Speed: 155.76 samples/sec	CrossEntropy=0.769905	SmoothL1=0.362690
Epoch[100] Batch [200]	Speed: 155.01 samples/sec	CrossEntropy=0.770756	SmoothL1=0.341783
Epoch[100] Batch [220]	Speed: 156.34 samples/sec	CrossEntropy=0.763293	SmoothL1=0.342596
Epoch[100] Batch [240]	Speed: 157.51 samples/sec	CrossEntropy=0.781787	SmoothL1=0.361617
Epoch[100] Batch [260]	Speed: 158.82 samples/sec	CrossEntropy=0.780144	SmoothL1=0.363634
Epoch[100] Batch [280]	Speed: 154.34 samples/sec	CrossEntropy=0.785298	SmoothL1=0.374410
Epoch[100] Batch [300]	Speed: 159.08 samples/sec	CrossEntropy=0.777442	SmoothL1=0.372212
Epoch[100] Batch [320]	Speed: 159.97 samples/sec	CrossEntropy=0.762574	SmoothL1=0.349342
Epoch[100] Batch [340]	Speed: 165.16 samples/sec	CrossEntropy=0.775999	SmoothL1=0.344129
Epoch[100] Train-CrossEntropy=0.809494
Epoch[100] Train-SmoothL1=0.342308
Epoch[100] Time cost=105.107
Epoch[100] Validation-aeroplane=0.459588
Epoch[100] Validation-bicycle=0.475242
Epoch[100] Validation-bird=0.214052
Epoch[100] Validation-boat=0.227986
Epoch[100] Validation-bottle=0.096618
Epoch[100] Validation-bus=0.524074
Epoch[100] Validation-car=0.549253
Epoch[100] Validation-cat=0.456916
Epoch[100] Validation-chair=0.197911
Epoch[100] Validation-cow=0.246903
Epoch[100] Validation-diningtable=0.443826
Epoch[100] Validation-dog=0.379495
Epoch[100] Validation-horse=0.532311
Epoch[100] Validation-motorbike=0.522060
Epoch[100] Validation-person=0.510929
Epoch[100] Validation-pottedplant=0.138331
Epoch[100] Validation-sheep=0.364162
Epoch[100] Validation-sofa=0.340008
Epoch[100] Validation-train=0.564123
Epoch[100] Validation-tvmonitor=0.374992
Epoch[100] Validation-mAP=0.380939
Epoch[101] Batch [20]	Speed: 151.54 samples/sec	CrossEntropy=0.779023	SmoothL1=0.357848
Epoch[101] Batch [40]	Speed: 157.25 samples/sec	CrossEntropy=0.774211	SmoothL1=0.363675
Epoch[101] Batch [60]	Speed: 153.08 samples/sec	CrossEntropy=0.781796	SmoothL1=0.352106
Epoch[101] Batch [80]	Speed: 160.26 samples/sec	CrossEntropy=0.782354	SmoothL1=0.353846
Epoch[101] Batch [100]	Speed: 158.32 samples/sec	CrossEntropy=0.783426	SmoothL1=0.351316
Epoch[101] Batch [120]	Speed: 158.34 samples/sec	CrossEntropy=0.779322	SmoothL1=0.372246
Epoch[101] Batch [140]	Speed: 160.17 samples/sec	CrossEntropy=0.768112	SmoothL1=0.362186
Epoch[101] Batch [160]	Speed: 155.01 samples/sec	CrossEntropy=0.783383	SmoothL1=0.345483
Epoch[101] Batch [180]	Speed: 158.33 samples/sec	CrossEntropy=0.765187	SmoothL1=0.357553
Epoch[101] Batch [200]	Speed: 147.23 samples/sec	CrossEntropy=0.762774	SmoothL1=0.330872
Epoch[101] Batch [220]	Speed: 155.66 samples/sec	CrossEntropy=0.783895	SmoothL1=0.346566
Epoch[101] Batch [240]	Speed: 159.02 samples/sec	CrossEntropy=0.788809	SmoothL1=0.360100
Epoch[101] Batch [260]	Speed: 159.18 samples/sec	CrossEntropy=0.775195	SmoothL1=0.368393
Epoch[101] Batch [280]	Speed: 156.56 samples/sec	CrossEntropy=0.774831	SmoothL1=0.361392
Epoch[101] Batch [300]	Speed: 155.74 samples/sec	CrossEntropy=0.772504	SmoothL1=0.360761
Epoch[101] Batch [320]	Speed: 161.07 samples/sec	CrossEntropy=0.778679	SmoothL1=0.354757
Epoch[101] Batch [340]	Speed: 163.09 samples/sec	CrossEntropy=0.782895	SmoothL1=0.353710
Epoch[101] Train-CrossEntropy=0.797871
Epoch[101] Train-SmoothL1=0.353938
Epoch[101] Time cost=105.314
Epoch[101] Validation-aeroplane=0.466519
Epoch[101] Validation-bicycle=0.467784
Epoch[101] Validation-bird=0.213870
Epoch[101] Validation-boat=0.232386
Epoch[101] Validation-bottle=0.095904
Epoch[101] Validation-bus=0.529606
Epoch[101] Validation-car=0.551537
Epoch[101] Validation-cat=0.466028
Epoch[101] Validation-chair=0.198619
Epoch[101] Validation-cow=0.250616
Epoch[101] Validation-diningtable=0.444240
Epoch[101] Validation-dog=0.384902
Epoch[101] Validation-horse=0.545917
Epoch[101] Validation-motorbike=0.542008
Epoch[101] Validation-person=0.518455
Epoch[101] Validation-pottedplant=0.135791
Epoch[101] Validation-sheep=0.355712
Epoch[101] Validation-sofa=0.356590
Epoch[101] Validation-train=0.557300
Epoch[101] Validation-tvmonitor=0.396149
Epoch[101] Validation-mAP=0.385497
Epoch[102] Batch [20]	Speed: 151.99 samples/sec	CrossEntropy=0.782865	SmoothL1=0.356089
Epoch[102] Batch [40]	Speed: 154.53 samples/sec	CrossEntropy=0.764999	SmoothL1=0.343015
Epoch[102] Batch [60]	Speed: 158.59 samples/sec	CrossEntropy=0.780766	SmoothL1=0.358231
Epoch[102] Batch [80]	Speed: 161.12 samples/sec	CrossEntropy=0.784505	SmoothL1=0.365730
Epoch[102] Batch [100]	Speed: 154.86 samples/sec	CrossEntropy=0.778666	SmoothL1=0.356175
Epoch[102] Batch [120]	Speed: 156.79 samples/sec	CrossEntropy=0.776725	SmoothL1=0.366363
Epoch[102] Batch [140]	Speed: 156.44 samples/sec	CrossEntropy=0.779050	SmoothL1=0.366411
Epoch[102] Batch [160]	Speed: 157.21 samples/sec	CrossEntropy=0.780785	SmoothL1=0.353131
Epoch[102] Batch [180]	Speed: 158.57 samples/sec	CrossEntropy=0.762048	SmoothL1=0.355945
Epoch[102] Batch [200]	Speed: 154.95 samples/sec	CrossEntropy=0.769049	SmoothL1=0.348945
Epoch[102] Batch [220]	Speed: 153.78 samples/sec	CrossEntropy=0.765186	SmoothL1=0.348350
Epoch[102] Batch [240]	Speed: 156.94 samples/sec	CrossEntropy=0.781555	SmoothL1=0.356960
Epoch[102] Batch [260]	Speed: 157.62 samples/sec	CrossEntropy=0.792776	SmoothL1=0.376415
Epoch[102] Batch [280]	Speed: 157.43 samples/sec	CrossEntropy=0.777917	SmoothL1=0.373110
Epoch[102] Batch [300]	Speed: 157.74 samples/sec	CrossEntropy=0.767158	SmoothL1=0.355336
Epoch[102] Batch [320]	Speed: 161.62 samples/sec	CrossEntropy=0.763841	SmoothL1=0.332626
Epoch[102] Batch [340]	Speed: 160.08 samples/sec	CrossEntropy=0.778669	SmoothL1=0.351028
Epoch[102] Train-CrossEntropy=0.789877
Epoch[102] Train-SmoothL1=0.351649
Epoch[102] Time cost=105.272
Epoch[102] Validation-aeroplane=0.466286
Epoch[102] Validation-bicycle=0.483704
Epoch[102] Validation-bird=0.217834
Epoch[102] Validation-boat=0.213556
Epoch[102] Validation-bottle=0.095151
Epoch[102] Validation-bus=0.525243
Epoch[102] Validation-car=0.547435
Epoch[102] Validation-cat=0.458233
Epoch[102] Validation-chair=0.209623
Epoch[102] Validation-cow=0.242588
Epoch[102] Validation-diningtable=0.434480
Epoch[102] Validation-dog=0.380509
Epoch[102] Validation-horse=0.548017
Epoch[102] Validation-motorbike=0.516902
Epoch[102] Validation-person=0.512215
Epoch[102] Validation-pottedplant=0.138455
Epoch[102] Validation-sheep=0.349567
Epoch[102] Validation-sofa=0.333493
Epoch[102] Validation-train=0.558065
Epoch[102] Validation-tvmonitor=0.386683
Epoch[102] Validation-mAP=0.380902
Epoch[103] Batch [20]	Speed: 145.11 samples/sec	CrossEntropy=0.788704	SmoothL1=0.371306
Epoch[103] Batch [40]	Speed: 153.92 samples/sec	CrossEntropy=0.765441	SmoothL1=0.361144
Epoch[103] Batch [60]	Speed: 156.71 samples/sec	CrossEntropy=0.769737	SmoothL1=0.349890
Epoch[103] Batch [80]	Speed: 158.96 samples/sec	CrossEntropy=0.772070	SmoothL1=0.358193
Epoch[103] Batch [100]	Speed: 153.20 samples/sec	CrossEntropy=0.777809	SmoothL1=0.352603
Epoch[103] Batch [120]	Speed: 157.52 samples/sec	CrossEntropy=0.771348	SmoothL1=0.363165
Epoch[103] Batch [140]	Speed: 153.60 samples/sec	CrossEntropy=0.766493	SmoothL1=0.350561
Epoch[103] Batch [160]	Speed: 156.82 samples/sec	CrossEntropy=0.789103	SmoothL1=0.355742
Epoch[103] Batch [180]	Speed: 152.78 samples/sec	CrossEntropy=0.767427	SmoothL1=0.355373
Epoch[103] Batch [200]	Speed: 158.09 samples/sec	CrossEntropy=0.766540	SmoothL1=0.352365
Epoch[103] Batch [220]	Speed: 157.70 samples/sec	CrossEntropy=0.769890	SmoothL1=0.344847
Epoch[103] Batch [240]	Speed: 152.92 samples/sec	CrossEntropy=0.789957	SmoothL1=0.354525
Epoch[103] Batch [260]	Speed: 157.95 samples/sec	CrossEntropy=0.771542	SmoothL1=0.357557
Epoch[103] Batch [280]	Speed: 153.67 samples/sec	CrossEntropy=0.778295	SmoothL1=0.367867
Epoch[103] Batch [300]	Speed: 152.15 samples/sec	CrossEntropy=0.782125	SmoothL1=0.354399
Epoch[103] Batch [320]	Speed: 152.88 samples/sec	CrossEntropy=0.776806	SmoothL1=0.348913
Epoch[103] Batch [340]	Speed: 163.87 samples/sec	CrossEntropy=0.805577	SmoothL1=0.348657
Epoch[103] Train-CrossEntropy=0.738826
Epoch[103] Train-SmoothL1=0.330543
Epoch[103] Time cost=106.288
Epoch[103] Validation-aeroplane=0.447695
Epoch[103] Validation-bicycle=0.474086
Epoch[103] Validation-bird=0.214661
Epoch[103] Validation-boat=0.220097
Epoch[103] Validation-bottle=0.096412
Epoch[103] Validation-bus=0.519232
Epoch[103] Validation-car=0.553099
Epoch[103] Validation-cat=0.468412
Epoch[103] Validation-chair=0.213652
Epoch[103] Validation-cow=0.244798
Epoch[103] Validation-diningtable=0.448573
Epoch[103] Validation-dog=0.373681
Epoch[103] Validation-horse=0.538804
Epoch[103] Validation-motorbike=0.552075
Epoch[103] Validation-person=0.518638
Epoch[103] Validation-pottedplant=0.138723
Epoch[103] Validation-sheep=0.362440
Epoch[103] Validation-sofa=0.352678
Epoch[103] Validation-train=0.556517
Epoch[103] Validation-tvmonitor=0.386723
Epoch[103] Validation-mAP=0.384050
Epoch[104] Batch [20]	Speed: 149.26 samples/sec	CrossEntropy=0.775317	SmoothL1=0.359878
Epoch[104] Batch [40]	Speed: 160.56 samples/sec	CrossEntropy=0.777409	SmoothL1=0.358603
Epoch[104] Batch [60]	Speed: 157.65 samples/sec	CrossEntropy=0.771987	SmoothL1=0.357277
Epoch[104] Batch [80]	Speed: 160.42 samples/sec	CrossEntropy=0.779506	SmoothL1=0.369468
Epoch[104] Batch [100]	Speed: 158.95 samples/sec	CrossEntropy=0.781387	SmoothL1=0.350144
Epoch[104] Batch [120]	Speed: 157.81 samples/sec	CrossEntropy=0.756079	SmoothL1=0.367982
Epoch[104] Batch [140]	Speed: 158.95 samples/sec	CrossEntropy=0.769775	SmoothL1=0.359046
Epoch[104] Batch [160]	Speed: 160.67 samples/sec	CrossEntropy=0.785868	SmoothL1=0.356234
Epoch[104] Batch [180]	Speed: 157.88 samples/sec	CrossEntropy=0.761669	SmoothL1=0.358238
Epoch[104] Batch [200]	Speed: 155.79 samples/sec	CrossEntropy=0.770183	SmoothL1=0.352144
Epoch[104] Batch [220]	Speed: 153.31 samples/sec	CrossEntropy=0.777061	SmoothL1=0.358764
Epoch[104] Batch [240]	Speed: 159.22 samples/sec	CrossEntropy=0.774379	SmoothL1=0.346177
Epoch[104] Batch [260]	Speed: 160.91 samples/sec	CrossEntropy=0.773995	SmoothL1=0.368712
Epoch[104] Batch [280]	Speed: 154.87 samples/sec	CrossEntropy=0.785111	SmoothL1=0.370783
Epoch[104] Batch [300]	Speed: 157.29 samples/sec	CrossEntropy=0.773975	SmoothL1=0.357888
Epoch[104] Batch [320]	Speed: 160.39 samples/sec	CrossEntropy=0.776580	SmoothL1=0.349678
Epoch[104] Batch [340]	Speed: 161.69 samples/sec	CrossEntropy=0.787997	SmoothL1=0.366599
Epoch[104] Train-CrossEntropy=0.764972
Epoch[104] Train-SmoothL1=0.357937
Epoch[104] Time cost=104.923
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0105.params"
Resume training with (gpu(0)) from epoch 105
Freezed parameters: [conv1_dw_conv2d_weight,conv1_dw_batchnorm_gamma,conv1_dw_batchnorm_beta,conv2_conv2d_weight,conv2_batchnorm_gamma,conv2_batchnorm_beta]
Adjusted learning rate to 0.0004 for epoch 105
Epoch[105] Batch [20]	Speed: 165.18 samples/sec	CrossEntropy=1.296061	SmoothL1=0.609552
Epoch[105] Batch [40]	Speed: 169.77 samples/sec	CrossEntropy=1.189387	SmoothL1=0.536508
Epoch[105] Batch [60]	Speed: 172.65 samples/sec	CrossEntropy=1.120331	SmoothL1=0.500005
Epoch[105] Batch [80]	Speed: 169.55 samples/sec	CrossEntropy=1.073827	SmoothL1=0.511487
Epoch[105] Batch [100]	Speed: 169.60 samples/sec	CrossEntropy=1.067759	SmoothL1=0.485289
Epoch[105] Batch [120]	Speed: 173.14 samples/sec	CrossEntropy=1.025926	SmoothL1=0.477650
Epoch[105] Batch [140]	Speed: 170.85 samples/sec	CrossEntropy=1.030464	SmoothL1=0.482257
Epoch[105] Batch [160]	Speed: 168.69 samples/sec	CrossEntropy=0.986032	SmoothL1=0.446544
Epoch[105] Batch [180]	Speed: 174.36 samples/sec	CrossEntropy=0.967538	SmoothL1=0.451183
Epoch[105] Batch [200]	Speed: 167.90 samples/sec	CrossEntropy=0.990025	SmoothL1=0.426166
Epoch[105] Batch [220]	Speed: 168.20 samples/sec	CrossEntropy=0.963798	SmoothL1=0.435281
Epoch[105] Batch [240]	Speed: 166.74 samples/sec	CrossEntropy=0.965381	SmoothL1=0.438531
Epoch[105] Batch [260]	Speed: 168.45 samples/sec	CrossEntropy=0.958527	SmoothL1=0.441387
Epoch[105] Batch [280]	Speed: 170.22 samples/sec	CrossEntropy=0.969684	SmoothL1=0.463980
Epoch[105] Batch [300]	Speed: 167.01 samples/sec	CrossEntropy=0.950406	SmoothL1=0.422819
Epoch[105] Batch [320]	Speed: 168.06 samples/sec	CrossEntropy=0.943275	SmoothL1=0.437010
Epoch[105] Batch [340]	Speed: 174.29 samples/sec	CrossEntropy=0.961270	SmoothL1=0.430002
Epoch[105] Train-CrossEntropy=0.973138
Epoch[105] Train-SmoothL1=0.404882
Epoch[105] Time cost=105.108
Epoch[105] Validation-aeroplane=0.314685
Epoch[105] Validation-bicycle=0.242505
Epoch[105] Validation-bird=0.129469
Epoch[105] Validation-boat=0.118322
Epoch[105] Validation-bottle=0.090909
Epoch[105] Validation-bus=0.286669
Epoch[105] Validation-car=0.363638
Epoch[105] Validation-cat=0.253357
Epoch[105] Validation-chair=0.071387
Epoch[105] Validation-cow=0.130482
Epoch[105] Validation-diningtable=0.250242
Epoch[105] Validation-dog=0.205045
Epoch[105] Validation-horse=0.299812
Epoch[105] Validation-motorbike=0.301939
Epoch[105] Validation-person=0.327485
Epoch[105] Validation-pottedplant=0.092428
Epoch[105] Validation-sheep=0.177273
Epoch[105] Validation-sofa=0.141911
Epoch[105] Validation-train=0.304451
Epoch[105] Validation-tvmonitor=0.221220
Epoch[105] Validation-mAP=0.216162
Epoch[106] Batch [20]	Speed: 166.38 samples/sec	CrossEntropy=0.950792	SmoothL1=0.439719
Epoch[106] Batch [40]	Speed: 170.73 samples/sec	CrossEntropy=0.931085	SmoothL1=0.431540
Epoch[106] Batch [60]	Speed: 169.09 samples/sec	CrossEntropy=0.946730	SmoothL1=0.427805
Epoch[106] Batch [80]	Speed: 172.68 samples/sec	CrossEntropy=0.936618	SmoothL1=0.430428
Epoch[106] Batch [100]	Speed: 167.13 samples/sec	CrossEntropy=0.923487	SmoothL1=0.418012
Epoch[106] Batch [120]	Speed: 164.42 samples/sec	CrossEntropy=0.924754	SmoothL1=0.421101
Epoch[106] Batch [140]	Speed: 169.66 samples/sec	CrossEntropy=0.919919	SmoothL1=0.418723
Epoch[106] Batch [160]	Speed: 167.57 samples/sec	CrossEntropy=0.918437	SmoothL1=0.423655
Epoch[106] Batch [180]	Speed: 169.16 samples/sec	CrossEntropy=0.901481	SmoothL1=0.413147
Epoch[106] Batch [200]	Speed: 170.17 samples/sec	CrossEntropy=0.907531	SmoothL1=0.410060
Epoch[106] Batch [220]	Speed: 170.02 samples/sec	CrossEntropy=0.918268	SmoothL1=0.425920
Epoch[106] Batch [240]	Speed: 166.60 samples/sec	CrossEntropy=0.900862	SmoothL1=0.420473
Epoch[106] Batch [260]	Speed: 171.80 samples/sec	CrossEntropy=0.910466	SmoothL1=0.426637
Epoch[106] Batch [280]	Speed: 170.21 samples/sec	CrossEntropy=0.908520	SmoothL1=0.425299
Epoch[106] Batch [300]	Speed: 167.19 samples/sec	CrossEntropy=0.914453	SmoothL1=0.414904
Epoch[106] Batch [320]	Speed: 167.38 samples/sec	CrossEntropy=0.888053	SmoothL1=0.409087
Epoch[106] Batch [340]	Speed: 174.91 samples/sec	CrossEntropy=0.892697	SmoothL1=0.401495
Epoch[106] Train-CrossEntropy=0.923761
Epoch[106] Train-SmoothL1=0.400797
Epoch[106] Time cost=97.732
Epoch[106] Validation-aeroplane=0.352603
Epoch[106] Validation-bicycle=0.326471
Epoch[106] Validation-bird=0.142356
Epoch[106] Validation-boat=0.160452
Epoch[106] Validation-bottle=0.090909
Epoch[106] Validation-bus=0.371426
Epoch[106] Validation-car=0.431994
Epoch[106] Validation-cat=0.295628
Epoch[106] Validation-chair=0.115686
Epoch[106] Validation-cow=0.126647
Epoch[106] Validation-diningtable=0.303076
Epoch[106] Validation-dog=0.247512
Epoch[106] Validation-horse=0.377204
Epoch[106] Validation-motorbike=0.386580
Epoch[106] Validation-person=0.376681
Epoch[106] Validation-pottedplant=0.095286
Epoch[106] Validation-sheep=0.248485
Epoch[106] Validation-sofa=0.186089
Epoch[106] Validation-train=0.426255
Epoch[106] Validation-tvmonitor=0.274128
Epoch[106] Validation-mAP=0.266773
Epoch[107] Batch [20]	Speed: 159.45 samples/sec	CrossEntropy=0.916675	SmoothL1=0.409466
Epoch[107] Batch [40]	Speed: 166.64 samples/sec	CrossEntropy=0.898470	SmoothL1=0.430899
Epoch[107] Batch [60]	Speed: 169.69 samples/sec	CrossEntropy=0.914098	SmoothL1=0.408111
Epoch[107] Batch [80]	Speed: 169.70 samples/sec	CrossEntropy=0.885091	SmoothL1=0.413577
Epoch[107] Batch [100]	Speed: 167.04 samples/sec	CrossEntropy=0.891494	SmoothL1=0.420070
Epoch[107] Batch [120]	Speed: 168.42 samples/sec	CrossEntropy=0.888842	SmoothL1=0.409254
Epoch[107] Batch [140]	Speed: 169.45 samples/sec	CrossEntropy=0.899844	SmoothL1=0.403606
Epoch[107] Batch [160]	Speed: 171.48 samples/sec	CrossEntropy=0.899418	SmoothL1=0.407349
Epoch[107] Batch [180]	Speed: 165.19 samples/sec	CrossEntropy=0.873559	SmoothL1=0.392579
Epoch[107] Batch [200]	Speed: 171.77 samples/sec	CrossEntropy=0.884304	SmoothL1=0.383894
Epoch[107] Batch [220]	Speed: 167.70 samples/sec	CrossEntropy=0.891974	SmoothL1=0.398172
Epoch[107] Batch [240]	Speed: 170.40 samples/sec	CrossEntropy=0.885619	SmoothL1=0.396449
Epoch[107] Batch [260]	Speed: 168.65 samples/sec	CrossEntropy=0.893415	SmoothL1=0.415575
Epoch[107] Batch [280]	Speed: 169.22 samples/sec	CrossEntropy=0.886706	SmoothL1=0.414025
Epoch[107] Batch [300]	Speed: 166.73 samples/sec	CrossEntropy=0.887366	SmoothL1=0.410667
Epoch[107] Batch [320]	Speed: 171.75 samples/sec	CrossEntropy=0.873138	SmoothL1=0.391473
Epoch[107] Batch [340]	Speed: 173.41 samples/sec	CrossEntropy=0.879517	SmoothL1=0.398662
Epoch[107] Train-CrossEntropy=0.905873
Epoch[107] Train-SmoothL1=0.425621
Epoch[107] Time cost=98.028
Epoch[107] Validation-aeroplane=0.370891
Epoch[107] Validation-bicycle=0.357563
Epoch[107] Validation-bird=0.147205
Epoch[107] Validation-boat=0.168849
Epoch[107] Validation-bottle=0.090909
Epoch[107] Validation-bus=0.379312
Epoch[107] Validation-car=0.437169
Epoch[107] Validation-cat=0.329534
Epoch[107] Validation-chair=0.136230
Epoch[107] Validation-cow=0.170693
Epoch[107] Validation-diningtable=0.342773
Epoch[107] Validation-dog=0.272546
Epoch[107] Validation-horse=0.419039
Epoch[107] Validation-motorbike=0.393205
Epoch[107] Validation-person=0.398295
Epoch[107] Validation-pottedplant=0.066860
Epoch[107] Validation-sheep=0.263893
Epoch[107] Validation-sofa=0.212467
Epoch[107] Validation-train=0.433507
Epoch[107] Validation-tvmonitor=0.277719
Epoch[107] Validation-mAP=0.283433
Epoch[108] Batch [20]	Speed: 156.91 samples/sec	CrossEntropy=0.879786	SmoothL1=0.412334
Epoch[108] Batch [40]	Speed: 165.34 samples/sec	CrossEntropy=0.871405	SmoothL1=0.394461
Epoch[108] Batch [60]	Speed: 171.29 samples/sec	CrossEntropy=0.877581	SmoothL1=0.385192
Epoch[108] Batch [80]	Speed: 168.14 samples/sec	CrossEntropy=0.884609	SmoothL1=0.395959
Epoch[108] Batch [100]	Speed: 171.45 samples/sec	CrossEntropy=0.874531	SmoothL1=0.395152
Epoch[108] Batch [120]	Speed: 170.19 samples/sec	CrossEntropy=0.863827	SmoothL1=0.407319
Epoch[108] Batch [140]	Speed: 167.96 samples/sec	CrossEntropy=0.870826	SmoothL1=0.395912
Epoch[108] Batch [160]	Speed: 167.37 samples/sec	CrossEntropy=0.887456	SmoothL1=0.402894
Epoch[108] Batch [180]	Speed: 171.78 samples/sec	CrossEntropy=0.855729	SmoothL1=0.397554
Epoch[108] Batch [200]	Speed: 169.73 samples/sec	CrossEntropy=0.863791	SmoothL1=0.383003
Epoch[108] Batch [220]	Speed: 169.70 samples/sec	CrossEntropy=0.869496	SmoothL1=0.403443
Epoch[108] Batch [240]	Speed: 168.03 samples/sec	CrossEntropy=0.872458	SmoothL1=0.392986
Epoch[108] Batch [260]	Speed: 169.09 samples/sec	CrossEntropy=0.867210	SmoothL1=0.406079
Epoch[108] Batch [280]	Speed: 171.12 samples/sec	CrossEntropy=0.881510	SmoothL1=0.411673
Epoch[108] Batch [300]	Speed: 173.57 samples/sec	CrossEntropy=0.859914	SmoothL1=0.394706
Epoch[108] Batch [320]	Speed: 167.42 samples/sec	CrossEntropy=0.860893	SmoothL1=0.391909
Epoch[108] Batch [340]	Speed: 175.15 samples/sec	CrossEntropy=0.866105	SmoothL1=0.389558
Epoch[108] Train-CrossEntropy=0.864267
Epoch[108] Train-SmoothL1=0.401939
Epoch[108] Time cost=97.795
Epoch[108] Validation-aeroplane=0.396464
Epoch[108] Validation-bicycle=0.380638
Epoch[108] Validation-bird=0.148552
Epoch[108] Validation-boat=0.154900
Epoch[108] Validation-bottle=0.090909
Epoch[108] Validation-bus=0.391477
Epoch[108] Validation-car=0.458341
Epoch[108] Validation-cat=0.323119
Epoch[108] Validation-chair=0.142355
Epoch[108] Validation-cow=0.170876
Epoch[108] Validation-diningtable=0.386080
Epoch[108] Validation-dog=0.275236
Epoch[108] Validation-horse=0.449977
Epoch[108] Validation-motorbike=0.413411
Epoch[108] Validation-person=0.412864
Epoch[108] Validation-pottedplant=0.101079
Epoch[108] Validation-sheep=0.251724
Epoch[108] Validation-sofa=0.224816
Epoch[108] Validation-train=0.445004
Epoch[108] Validation-tvmonitor=0.297406
Epoch[108] Validation-mAP=0.295761
Epoch[109] Batch [20]	Speed: 164.11 samples/sec	CrossEntropy=0.863741	SmoothL1=0.412718
Epoch[109] Batch [40]	Speed: 167.37 samples/sec	CrossEntropy=0.864693	SmoothL1=0.398239
Epoch[109] Batch [60]	Speed: 170.15 samples/sec	CrossEntropy=0.888054	SmoothL1=0.403540
Epoch[109] Batch [80]	Speed: 167.90 samples/sec	CrossEntropy=0.858129	SmoothL1=0.394301
Epoch[109] Batch [100]	Speed: 167.02 samples/sec	CrossEntropy=0.844389	SmoothL1=0.394474
Epoch[109] Batch [120]	Speed: 168.33 samples/sec	CrossEntropy=0.847414	SmoothL1=0.400341
Epoch[109] Batch [140]	Speed: 166.73 samples/sec	CrossEntropy=0.870503	SmoothL1=0.409137
Epoch[109] Batch [160]	Speed: 166.76 samples/sec	CrossEntropy=0.864555	SmoothL1=0.393601
Epoch[109] Batch [180]	Speed: 171.71 samples/sec	CrossEntropy=0.845341	SmoothL1=0.394205
Epoch[109] Batch [200]	Speed: 169.36 samples/sec	CrossEntropy=0.850044	SmoothL1=0.387825
Epoch[109] Batch [220]	Speed: 172.31 samples/sec	CrossEntropy=0.843698	SmoothL1=0.396510
Epoch[109] Batch [240]	Speed: 165.71 samples/sec	CrossEntropy=0.879394	SmoothL1=0.392323
Epoch[109] Batch [260]	Speed: 169.92 samples/sec	CrossEntropy=0.862886	SmoothL1=0.412152
Epoch[109] Batch [280]	Speed: 165.45 samples/sec	CrossEntropy=0.849921	SmoothL1=0.401444
Epoch[109] Batch [300]	Speed: 168.84 samples/sec	CrossEntropy=0.866171	SmoothL1=0.393089
Epoch[109] Batch [320]	Speed: 170.57 samples/sec	CrossEntropy=0.856810	SmoothL1=0.380275
Epoch[109] Batch [340]	Speed: 176.77 samples/sec	CrossEntropy=0.859975	SmoothL1=0.379972
Epoch[109] Train-CrossEntropy=0.861930
Epoch[109] Train-SmoothL1=0.401269
Epoch[109] Time cost=98.051
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0110.params"
Epoch[109] Validation-aeroplane=0.407870
Epoch[109] Validation-bicycle=0.386884
Epoch[109] Validation-bird=0.158368
Epoch[109] Validation-boat=0.185578
Epoch[109] Validation-bottle=0.090909
Epoch[109] Validation-bus=0.444663
Epoch[109] Validation-car=0.463950
Epoch[109] Validation-cat=0.362354
Epoch[109] Validation-chair=0.147686
Epoch[109] Validation-cow=0.181460
Epoch[109] Validation-diningtable=0.366966
Epoch[109] Validation-dog=0.281151
Epoch[109] Validation-horse=0.456168
Epoch[109] Validation-motorbike=0.412304
Epoch[109] Validation-person=0.415149
Epoch[109] Validation-pottedplant=0.110088
Epoch[109] Validation-sheep=0.275762
Epoch[109] Validation-sofa=0.247148
Epoch[109] Validation-train=0.488350
Epoch[109] Validation-tvmonitor=0.318677
Epoch[109] Validation-mAP=0.310074
Resume training with (gpu(0)) from epoch 110
Freezed parameters: [conv1_dw_weight,conv1_dw_batchnorm_gamma,conv1_dw_batchnorm_beta,conv1_weight,conv1_batchnorm_gamma,conv1_batchnorm_beta,conv2_dw_weight,conv2_dw_batchnorm_gamma,conv2_dw_batchnorm_beta,conv2_weight,conv2_batchnorm_gamma,conv2_batchnorm_beta]
Adjusted learning rate to 0.0004 for epoch 110
Resume training with (gpu(0)) from epoch 105
Adjusted learning rate to 0.0004 for epoch 105
Epoch[105] Batch [20]	Speed: 161.88 samples/sec	CrossEntropy=0.767583	SmoothL1=0.361584
Epoch[105] Batch [40]	Speed: 154.95 samples/sec	CrossEntropy=0.783222	SmoothL1=0.357027
Epoch[105] Batch [60]	Speed: 160.91 samples/sec	CrossEntropy=0.768676	SmoothL1=0.352599
Epoch[105] Batch [80]	Speed: 161.46 samples/sec	CrossEntropy=0.794180	SmoothL1=0.373417
Epoch[105] Batch [100]	Speed: 159.95 samples/sec	CrossEntropy=0.793600	SmoothL1=0.357194
Epoch[105] Batch [120]	Speed: 159.48 samples/sec	CrossEntropy=0.777842	SmoothL1=0.362682
Epoch[105] Batch [140]	Speed: 158.13 samples/sec	CrossEntropy=0.772664	SmoothL1=0.368236
Epoch[105] Batch [160]	Speed: 159.76 samples/sec	CrossEntropy=0.761964	SmoothL1=0.348655
Epoch[105] Batch [180]	Speed: 163.24 samples/sec	CrossEntropy=0.754422	SmoothL1=0.354082
Epoch[105] Batch [200]	Speed: 158.78 samples/sec	CrossEntropy=0.766862	SmoothL1=0.339771
Epoch[105] Batch [220]	Speed: 158.44 samples/sec	CrossEntropy=0.764624	SmoothL1=0.349211
Epoch[105] Batch [240]	Speed: 156.28 samples/sec	CrossEntropy=0.778875	SmoothL1=0.351279
Epoch[105] Batch [260]	Speed: 160.09 samples/sec	CrossEntropy=0.772749	SmoothL1=0.361029
Epoch[105] Batch [280]	Speed: 158.65 samples/sec	CrossEntropy=0.787166	SmoothL1=0.376816
Epoch[105] Batch [300]	Speed: 159.07 samples/sec	CrossEntropy=0.778966	SmoothL1=0.349801
Epoch[105] Batch [320]	Speed: 160.45 samples/sec	CrossEntropy=0.772691	SmoothL1=0.347795
Epoch[105] Batch [340]	Speed: 162.32 samples/sec	CrossEntropy=0.786552	SmoothL1=0.350489
Epoch[105] Train-CrossEntropy=0.820392
Epoch[105] Train-SmoothL1=0.345768
Epoch[105] Time cost=111.093
Epoch[105] Validation-aeroplane=0.452562
Epoch[105] Validation-bicycle=0.495754
Epoch[105] Validation-bird=0.211877
Epoch[105] Validation-boat=0.236990
Epoch[105] Validation-bottle=0.097191
Epoch[105] Validation-bus=0.522115
Epoch[105] Validation-car=0.547160
Epoch[105] Validation-cat=0.458871
Epoch[105] Validation-chair=0.203370
Epoch[105] Validation-cow=0.243732
Epoch[105] Validation-diningtable=0.440355
Epoch[105] Validation-dog=0.384941
Epoch[105] Validation-horse=0.558816
Epoch[105] Validation-motorbike=0.529618
Epoch[105] Validation-person=0.523901
Epoch[105] Validation-pottedplant=0.143895
Epoch[105] Validation-sheep=0.365257
Epoch[105] Validation-sofa=0.359267
Epoch[105] Validation-train=0.560634
Epoch[105] Validation-tvmonitor=0.391139
Epoch[105] Validation-mAP=0.386372
Epoch[106] Batch [20]	Speed: 149.99 samples/sec	CrossEntropy=0.770010	SmoothL1=0.359172
Epoch[106] Batch [40]	Speed: 160.84 samples/sec	CrossEntropy=0.767489	SmoothL1=0.355249
Epoch[106] Batch [60]	Speed: 158.75 samples/sec	CrossEntropy=0.776483	SmoothL1=0.357258
Epoch[106] Batch [80]	Speed: 156.32 samples/sec	CrossEntropy=0.792856	SmoothL1=0.357094
Epoch[106] Batch [100]	Speed: 154.53 samples/sec	CrossEntropy=0.769488	SmoothL1=0.346058
Epoch[106] Batch [120]	Speed: 159.78 samples/sec	CrossEntropy=0.773368	SmoothL1=0.354122
Epoch[106] Batch [140]	Speed: 154.73 samples/sec	CrossEntropy=0.769996	SmoothL1=0.349606
Epoch[106] Batch [160]	Speed: 158.26 samples/sec	CrossEntropy=0.784039	SmoothL1=0.362137
Epoch[106] Batch [180]	Speed: 154.66 samples/sec	CrossEntropy=0.763978	SmoothL1=0.353360
Epoch[106] Batch [200]	Speed: 159.50 samples/sec	CrossEntropy=0.760420	SmoothL1=0.344449
Epoch[106] Batch [220]	Speed: 160.66 samples/sec	CrossEntropy=0.781565	SmoothL1=0.360841
Epoch[106] Batch [240]	Speed: 157.46 samples/sec	CrossEntropy=0.765409	SmoothL1=0.360099
Epoch[106] Batch [260]	Speed: 159.54 samples/sec	CrossEntropy=0.771421	SmoothL1=0.364562
Epoch[106] Batch [280]	Speed: 158.17 samples/sec	CrossEntropy=0.769571	SmoothL1=0.356735
Epoch[106] Batch [300]	Speed: 159.91 samples/sec	CrossEntropy=0.774463	SmoothL1=0.350022
Epoch[106] Batch [320]	Speed: 162.35 samples/sec	CrossEntropy=0.765684	SmoothL1=0.343742
Epoch[106] Batch [340]	Speed: 163.89 samples/sec	CrossEntropy=0.777476	SmoothL1=0.347190
Epoch[106] Train-CrossEntropy=0.785922
Epoch[106] Train-SmoothL1=0.347410
Epoch[106] Time cost=104.581
Epoch[106] Validation-aeroplane=0.459809
Epoch[106] Validation-bicycle=0.459372
Epoch[106] Validation-bird=0.221049
Epoch[106] Validation-boat=0.217542
Epoch[106] Validation-bottle=0.095284
Epoch[106] Validation-bus=0.526372
Epoch[106] Validation-car=0.550104
Epoch[106] Validation-cat=0.463100
Epoch[106] Validation-chair=0.214143
Epoch[106] Validation-cow=0.239443
Epoch[106] Validation-diningtable=0.443916
Epoch[106] Validation-dog=0.370049
Epoch[106] Validation-horse=0.536194
Epoch[106] Validation-motorbike=0.522114
Epoch[106] Validation-person=0.521182
Epoch[106] Validation-pottedplant=0.148408
Epoch[106] Validation-sheep=0.354135
Epoch[106] Validation-sofa=0.348514
Epoch[106] Validation-train=0.561866
Epoch[106] Validation-tvmonitor=0.399613
Epoch[106] Validation-mAP=0.382610
Epoch[107] Batch [20]	Speed: 154.19 samples/sec	CrossEntropy=0.778449	SmoothL1=0.351317
Epoch[107] Batch [40]	Speed: 157.20 samples/sec	CrossEntropy=0.773341	SmoothL1=0.368872
Epoch[107] Batch [60]	Speed: 151.20 samples/sec	CrossEntropy=0.792827	SmoothL1=0.355782
Epoch[107] Batch [80]	Speed: 155.82 samples/sec	CrossEntropy=0.777439	SmoothL1=0.356031
Epoch[107] Batch [100]	Speed: 152.43 samples/sec	CrossEntropy=0.772454	SmoothL1=0.353840
Epoch[107] Batch [120]	Speed: 149.54 samples/sec	CrossEntropy=0.766823	SmoothL1=0.350465
Epoch[107] Batch [140]	Speed: 153.86 samples/sec	CrossEntropy=0.767996	SmoothL1=0.347384
Epoch[107] Batch [160]	Speed: 160.17 samples/sec	CrossEntropy=0.781173	SmoothL1=0.358807
Epoch[107] Batch [180]	Speed: 158.30 samples/sec	CrossEntropy=0.760565	SmoothL1=0.347819
Epoch[107] Batch [200]	Speed: 155.18 samples/sec	CrossEntropy=0.772456	SmoothL1=0.335376
Epoch[107] Batch [220]	Speed: 155.62 samples/sec	CrossEntropy=0.781724	SmoothL1=0.351150
Epoch[107] Batch [240]	Speed: 154.57 samples/sec	CrossEntropy=0.774332	SmoothL1=0.346332
Epoch[107] Batch [260]	Speed: 150.35 samples/sec	CrossEntropy=0.775813	SmoothL1=0.363828
Epoch[107] Batch [280]	Speed: 148.86 samples/sec	CrossEntropy=0.778085	SmoothL1=0.363901
Epoch[107] Batch [300]	Speed: 152.64 samples/sec	CrossEntropy=0.782983	SmoothL1=0.366151
Epoch[107] Batch [320]	Speed: 155.78 samples/sec	CrossEntropy=0.762818	SmoothL1=0.339763
Epoch[107] Batch [340]	Speed: 160.10 samples/sec	CrossEntropy=0.775703	SmoothL1=0.351425
Epoch[107] Train-CrossEntropy=0.792806
Epoch[107] Train-SmoothL1=0.395081
Epoch[107] Time cost=107.014
Epoch[107] Validation-aeroplane=0.463061
Epoch[107] Validation-bicycle=0.482221
Epoch[107] Validation-bird=0.207867
Epoch[107] Validation-boat=0.232651
Epoch[107] Validation-bottle=0.095253
Epoch[107] Validation-bus=0.521788
Epoch[107] Validation-car=0.540046
Epoch[107] Validation-cat=0.469494
Epoch[107] Validation-chair=0.208363
Epoch[107] Validation-cow=0.244714
Epoch[107] Validation-diningtable=0.435912
Epoch[107] Validation-dog=0.368435
Epoch[107] Validation-horse=0.564286
Epoch[107] Validation-motorbike=0.527910
Epoch[107] Validation-person=0.515794
Epoch[107] Validation-pottedplant=0.143143
Epoch[107] Validation-sheep=0.360268
Epoch[107] Validation-sofa=0.333837
Epoch[107] Validation-train=0.555493
Epoch[107] Validation-tvmonitor=0.377614
Epoch[107] Validation-mAP=0.382407
Epoch[108] Batch [20]	Speed: 151.10 samples/sec	CrossEntropy=0.774435	SmoothL1=0.363782
Epoch[108] Batch [40]	Speed: 149.33 samples/sec	CrossEntropy=0.771875	SmoothL1=0.351741
Epoch[108] Batch [60]	Speed: 154.49 samples/sec	CrossEntropy=0.775223	SmoothL1=0.346654
Epoch[108] Batch [80]	Speed: 156.45 samples/sec	CrossEntropy=0.783401	SmoothL1=0.353947
Epoch[108] Batch [100]	Speed: 153.29 samples/sec	CrossEntropy=0.778742	SmoothL1=0.346194
Epoch[108] Batch [120]	Speed: 159.01 samples/sec	CrossEntropy=0.765350	SmoothL1=0.362888
Epoch[108] Batch [140]	Speed: 158.16 samples/sec	CrossEntropy=0.769801	SmoothL1=0.353655
Epoch[108] Batch [160]	Speed: 158.22 samples/sec	CrossEntropy=0.784434	SmoothL1=0.360574
Epoch[108] Batch [180]	Speed: 153.61 samples/sec	CrossEntropy=0.760050	SmoothL1=0.355266
Epoch[108] Batch [200]	Speed: 146.24 samples/sec	CrossEntropy=0.758324	SmoothL1=0.339811
Epoch[108] Batch [220]	Speed: 158.22 samples/sec	CrossEntropy=0.776069	SmoothL1=0.357912
Epoch[108] Batch [240]	Speed: 157.48 samples/sec	CrossEntropy=0.774311	SmoothL1=0.346146
Epoch[108] Batch [260]	Speed: 155.11 samples/sec	CrossEntropy=0.768137	SmoothL1=0.359109
Epoch[108] Batch [280]	Speed: 158.73 samples/sec	CrossEntropy=0.787869	SmoothL1=0.368173
Epoch[108] Batch [300]	Speed: 151.74 samples/sec	CrossEntropy=0.764630	SmoothL1=0.348720
Epoch[108] Batch [320]	Speed: 158.35 samples/sec	CrossEntropy=0.770543	SmoothL1=0.350110
Epoch[108] Batch [340]	Speed: 162.31 samples/sec	CrossEntropy=0.767481	SmoothL1=0.346484
Epoch[108] Train-CrossEntropy=0.776433
Epoch[108] Train-SmoothL1=0.360766
Epoch[108] Time cost=106.398
Epoch[108] Validation-aeroplane=0.459222
Epoch[108] Validation-bicycle=0.475992
Epoch[108] Validation-bird=0.220361
Epoch[108] Validation-boat=0.221285
Epoch[108] Validation-bottle=0.097252
Epoch[108] Validation-bus=0.528788
Epoch[108] Validation-car=0.555009
Epoch[108] Validation-cat=0.462908
Epoch[108] Validation-chair=0.215293
Epoch[108] Validation-cow=0.246809
Epoch[108] Validation-diningtable=0.432358
Epoch[108] Validation-dog=0.379206
Epoch[108] Validation-horse=0.560741
Epoch[108] Validation-motorbike=0.521384
Epoch[108] Validation-person=0.517215
Epoch[108] Validation-pottedplant=0.141872
Epoch[108] Validation-sheep=0.358620
Epoch[108] Validation-sofa=0.355434
Epoch[108] Validation-train=0.561615
Epoch[108] Validation-tvmonitor=0.379468
Epoch[108] Validation-mAP=0.384542
Epoch[109] Batch [20]	Speed: 144.51 samples/sec	CrossEntropy=0.778525	SmoothL1=0.372037
Epoch[109] Batch [40]	Speed: 158.79 samples/sec	CrossEntropy=0.772854	SmoothL1=0.357406
Epoch[109] Batch [60]	Speed: 153.42 samples/sec	CrossEntropy=0.792587	SmoothL1=0.366602
Epoch[109] Batch [80]	Speed: 153.45 samples/sec	CrossEntropy=0.771481	SmoothL1=0.352321
Epoch[109] Batch [100]	Speed: 156.66 samples/sec	CrossEntropy=0.752322	SmoothL1=0.350069
Epoch[109] Batch [120]	Speed: 160.97 samples/sec	CrossEntropy=0.761040	SmoothL1=0.358769
Epoch[109] Batch [140]	Speed: 160.32 samples/sec	CrossEntropy=0.778266	SmoothL1=0.364304
Epoch[109] Batch [160]	Speed: 160.13 samples/sec	CrossEntropy=0.779358	SmoothL1=0.355974
Epoch[109] Batch [180]	Speed: 157.24 samples/sec	CrossEntropy=0.766763	SmoothL1=0.353781
Epoch[109] Batch [200]	Speed: 155.29 samples/sec	CrossEntropy=0.762937	SmoothL1=0.349617
Epoch[109] Batch [220]	Speed: 153.34 samples/sec	CrossEntropy=0.763426	SmoothL1=0.358031
Epoch[109] Batch [240]	Speed: 150.82 samples/sec	CrossEntropy=0.788547	SmoothL1=0.351532
Epoch[109] Batch [260]	Speed: 152.91 samples/sec	CrossEntropy=0.777621	SmoothL1=0.365447
Epoch[109] Batch [280]	Speed: 150.69 samples/sec	CrossEntropy=0.765162	SmoothL1=0.360906
Epoch[109] Batch [300]	Speed: 153.56 samples/sec	CrossEntropy=0.775071	SmoothL1=0.349807
Epoch[109] Batch [320]	Speed: 158.08 samples/sec	CrossEntropy=0.770972	SmoothL1=0.344874
Epoch[109] Batch [340]	Speed: 161.82 samples/sec	CrossEntropy=0.778801	SmoothL1=0.340895
Epoch[109] Train-CrossEntropy=0.797858
Epoch[109] Train-SmoothL1=0.369558
Epoch[109] Time cost=106.441
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0110.params"
Epoch[109] Validation-aeroplane=0.476828
Epoch[109] Validation-bicycle=0.471903
Epoch[109] Validation-bird=0.209248
Epoch[109] Validation-boat=0.232610
Epoch[109] Validation-bottle=0.098264
Epoch[109] Validation-bus=0.537190
Epoch[109] Validation-car=0.553528
Epoch[109] Validation-cat=0.470479
Epoch[109] Validation-chair=0.217183
Epoch[109] Validation-cow=0.244863
Epoch[109] Validation-diningtable=0.438949
Epoch[109] Validation-dog=0.385627
Epoch[109] Validation-horse=0.560481
Epoch[109] Validation-motorbike=0.526271
Epoch[109] Validation-person=0.517012
Epoch[109] Validation-pottedplant=0.141892
Epoch[109] Validation-sheep=0.358560
Epoch[109] Validation-sofa=0.364216
Epoch[109] Validation-train=0.572308
Epoch[109] Validation-tvmonitor=0.381120
Epoch[109] Validation-mAP=0.387927
Epoch[110] Batch [20]	Speed: 150.55 samples/sec	CrossEntropy=0.778112	SmoothL1=0.351706
Resume training with (gpu(0)) from epoch 110
Adjusted learning rate to 0.0004 for epoch 110
Epoch[110] Batch [20]	Speed: 146.53 samples/sec	CrossEntropy=0.759356	SmoothL1=0.356739
Epoch[110] Batch [40]	Speed: 145.99 samples/sec	CrossEntropy=0.773851	SmoothL1=0.352211
Epoch[110] Batch [60]	Speed: 149.53 samples/sec	CrossEntropy=0.759950	SmoothL1=0.348516
Epoch[110] Batch [80]	Speed: 154.36 samples/sec	CrossEntropy=0.784383	SmoothL1=0.367567
Epoch[110] Batch [100]	Speed: 156.62 samples/sec	CrossEntropy=0.783515	SmoothL1=0.351488
Epoch[110] Batch [120]	Speed: 150.30 samples/sec	CrossEntropy=0.767752	SmoothL1=0.357434
Epoch[110] Batch [140]	Speed: 160.26 samples/sec	CrossEntropy=0.763803	SmoothL1=0.363318
Epoch[110] Batch [160]	Speed: 158.30 samples/sec	CrossEntropy=0.752945	SmoothL1=0.343015
Epoch[110] Batch [180]	Speed: 153.85 samples/sec	CrossEntropy=0.744857	SmoothL1=0.349401
Epoch[110] Batch [200]	Speed: 155.88 samples/sec	CrossEntropy=0.757322	SmoothL1=0.335015
Epoch[110] Batch [220]	Speed: 158.93 samples/sec	CrossEntropy=0.755161	SmoothL1=0.344371
Epoch[110] Batch [240]	Speed: 158.39 samples/sec	CrossEntropy=0.769868	SmoothL1=0.346607
Epoch[110] Batch [260]	Speed: 156.38 samples/sec	CrossEntropy=0.762703	SmoothL1=0.355618
Epoch[110] Batch [280]	Speed: 151.44 samples/sec	CrossEntropy=0.777094	SmoothL1=0.370861
Epoch[110] Batch [300]	Speed: 157.68 samples/sec	CrossEntropy=0.768936	SmoothL1=0.344753
Epoch[110] Batch [320]	Speed: 154.26 samples/sec	CrossEntropy=0.762106	SmoothL1=0.342025
Epoch[110] Batch [340]	Speed: 161.27 samples/sec	CrossEntropy=0.776733	SmoothL1=0.344491
Epoch[110] Train-CrossEntropy=0.807965
Epoch[110] Train-SmoothL1=0.340429
Epoch[110] Time cost=114.725
Epoch[110] Validation-aeroplane=0.461905
Epoch[110] Validation-bicycle=0.485254
Epoch[110] Validation-bird=0.215279
Epoch[110] Validation-boat=0.239597
Epoch[110] Validation-bottle=0.097048
Epoch[110] Validation-bus=0.535908
Epoch[110] Validation-car=0.549890
Epoch[110] Validation-cat=0.469995
Epoch[110] Validation-chair=0.218016
Epoch[110] Validation-cow=0.241445
Epoch[110] Validation-diningtable=0.443706
Epoch[110] Validation-dog=0.391335
Epoch[110] Validation-horse=0.564324
Epoch[110] Validation-motorbike=0.534711
Epoch[110] Validation-person=0.521627
Epoch[110] Validation-pottedplant=0.140498
Epoch[110] Validation-sheep=0.362199
Epoch[110] Validation-sofa=0.374647
Epoch[110] Validation-train=0.558908
Epoch[110] Validation-tvmonitor=0.391730
Epoch[110] Validation-mAP=0.389901
Epoch[111] Batch [20]	Speed: 148.89 samples/sec	CrossEntropy=0.759887	SmoothL1=0.353456
Epoch[111] Batch [40]	Speed: 159.08 samples/sec	CrossEntropy=0.758579	SmoothL1=0.351298
Epoch[111] Batch [60]	Speed: 156.65 samples/sec	CrossEntropy=0.765958	SmoothL1=0.352431
Epoch[111] Batch [80]	Speed: 158.20 samples/sec	CrossEntropy=0.782773	SmoothL1=0.351871
Epoch[111] Batch [100]	Speed: 156.94 samples/sec	CrossEntropy=0.760608	SmoothL1=0.340967
Epoch[111] Batch [120]	Speed: 157.26 samples/sec	CrossEntropy=0.763651	SmoothL1=0.349048
Epoch[111] Batch [140]	Speed: 161.04 samples/sec	CrossEntropy=0.760868	SmoothL1=0.344280
Epoch[111] Batch [160]	Speed: 155.51 samples/sec	CrossEntropy=0.774405	SmoothL1=0.356105
Epoch[111] Batch [180]	Speed: 155.42 samples/sec	CrossEntropy=0.754573	SmoothL1=0.348472
Epoch[111] Batch [200]	Speed: 154.95 samples/sec	CrossEntropy=0.750686	SmoothL1=0.338979
Epoch[111] Batch [220]	Speed: 157.27 samples/sec	CrossEntropy=0.772787	SmoothL1=0.355165
Epoch[111] Batch [240]	Speed: 155.07 samples/sec	CrossEntropy=0.756911	SmoothL1=0.355612
Epoch[111] Batch [260]	Speed: 156.81 samples/sec	CrossEntropy=0.761359	SmoothL1=0.358902
Epoch[111] Batch [280]	Speed: 158.68 samples/sec	CrossEntropy=0.760326	SmoothL1=0.351855
Epoch[111] Batch [300]	Speed: 157.64 samples/sec	CrossEntropy=0.764865	SmoothL1=0.344891
Epoch[111] Batch [320]	Speed: 160.90 samples/sec	CrossEntropy=0.755603	SmoothL1=0.337706
Epoch[111] Batch [340]	Speed: 161.66 samples/sec	CrossEntropy=0.768033	SmoothL1=0.342332
Epoch[111] Train-CrossEntropy=0.775243
Epoch[111] Train-SmoothL1=0.343041
Epoch[111] Time cost=105.246
Epoch[111] Validation-aeroplane=0.463263
Epoch[111] Validation-bicycle=0.473692
Epoch[111] Validation-bird=0.226242
Epoch[111] Validation-boat=0.221078
Epoch[111] Validation-bottle=0.095932
Epoch[111] Validation-bus=0.529351
Epoch[111] Validation-car=0.549571
Epoch[111] Validation-cat=0.465125
Epoch[111] Validation-chair=0.221067
Epoch[111] Validation-cow=0.242916
Epoch[111] Validation-diningtable=0.450062
Epoch[111] Validation-dog=0.373507
Epoch[111] Validation-horse=0.529216
Epoch[111] Validation-motorbike=0.547807
Epoch[111] Validation-person=0.521629
Epoch[111] Validation-pottedplant=0.147874
Epoch[111] Validation-sheep=0.355527
Epoch[111] Validation-sofa=0.348862
Epoch[111] Validation-train=0.563157
Epoch[111] Validation-tvmonitor=0.401649
Epoch[111] Validation-mAP=0.386376
Epoch[112] Batch [20]	Speed: 149.14 samples/sec	CrossEntropy=0.768680	SmoothL1=0.346168
Epoch[112] Batch [40]	Speed: 154.87 samples/sec	CrossEntropy=0.764559	SmoothL1=0.363822
Epoch[112] Batch [60]	Speed: 159.84 samples/sec	CrossEntropy=0.782703	SmoothL1=0.350723
Epoch[112] Batch [80]	Speed: 159.60 samples/sec	CrossEntropy=0.768622	SmoothL1=0.350877
Epoch[112] Batch [100]	Speed: 155.98 samples/sec	CrossEntropy=0.762723	SmoothL1=0.347560
Epoch[112] Batch [120]	Speed: 155.47 samples/sec	CrossEntropy=0.757901	SmoothL1=0.345889
Epoch[112] Batch [140]	Speed: 154.68 samples/sec	CrossEntropy=0.758836	SmoothL1=0.342132
Epoch[112] Batch [160]	Speed: 156.40 samples/sec	CrossEntropy=0.772161	SmoothL1=0.353724
Epoch[112] Batch [180]	Speed: 161.05 samples/sec	CrossEntropy=0.751568	SmoothL1=0.342865
Epoch[112] Batch [200]	Speed: 152.19 samples/sec	CrossEntropy=0.763215	SmoothL1=0.330574
Epoch[112] Batch [220]	Speed: 153.59 samples/sec	CrossEntropy=0.772291	SmoothL1=0.346317
Epoch[112] Batch [240]	Speed: 157.48 samples/sec	CrossEntropy=0.765348	SmoothL1=0.341880
Epoch[112] Batch [260]	Speed: 157.49 samples/sec	CrossEntropy=0.766930	SmoothL1=0.357646
Epoch[112] Batch [280]	Speed: 155.93 samples/sec	CrossEntropy=0.768134	SmoothL1=0.358133
Epoch[112] Batch [300]	Speed: 155.92 samples/sec	CrossEntropy=0.774347	SmoothL1=0.360247
Epoch[112] Batch [320]	Speed: 157.79 samples/sec	CrossEntropy=0.753493	SmoothL1=0.335096
Epoch[112] Batch [340]	Speed: 161.60 samples/sec	CrossEntropy=0.766284	SmoothL1=0.346698
Epoch[112] Train-CrossEntropy=0.784336
Epoch[112] Train-SmoothL1=0.390443
Epoch[112] Time cost=105.684
Epoch[112] Validation-aeroplane=0.477021
Epoch[112] Validation-bicycle=0.485478
Epoch[112] Validation-bird=0.219140
Epoch[112] Validation-boat=0.230758
Epoch[112] Validation-bottle=0.095704
Epoch[112] Validation-bus=0.523753
Epoch[112] Validation-car=0.544763
Epoch[112] Validation-cat=0.474712
Epoch[112] Validation-chair=0.213011
Epoch[112] Validation-cow=0.245143
Epoch[112] Validation-diningtable=0.442257
Epoch[112] Validation-dog=0.375113
Epoch[112] Validation-horse=0.565795
Epoch[112] Validation-motorbike=0.545422
Epoch[112] Validation-person=0.517884
Epoch[112] Validation-pottedplant=0.145486
Epoch[112] Validation-sheep=0.361689
Epoch[112] Validation-sofa=0.334229
Epoch[112] Validation-train=0.575608
Epoch[112] Validation-tvmonitor=0.381273
Epoch[112] Validation-mAP=0.387712
Epoch[113] Batch [20]	Speed: 152.96 samples/sec	CrossEntropy=0.765278	SmoothL1=0.358987
Epoch[113] Batch [40]	Speed: 159.46 samples/sec	CrossEntropy=0.763366	SmoothL1=0.345876
Epoch[113] Batch [60]	Speed: 152.34 samples/sec	CrossEntropy=0.765674	SmoothL1=0.341893
Epoch[113] Batch [80]	Speed: 156.37 samples/sec	CrossEntropy=0.773524	SmoothL1=0.348792
Epoch[113] Batch [100]	Speed: 158.53 samples/sec	CrossEntropy=0.770278	SmoothL1=0.341175
Epoch[113] Batch [120]	Speed: 160.26 samples/sec	CrossEntropy=0.756287	SmoothL1=0.357977
Epoch[113] Batch [140]	Speed: 155.14 samples/sec	CrossEntropy=0.761012	SmoothL1=0.348739
Epoch[113] Batch [160]	Speed: 159.74 samples/sec	CrossEntropy=0.775238	SmoothL1=0.355325
Epoch[113] Batch [180]	Speed: 155.65 samples/sec	CrossEntropy=0.751447	SmoothL1=0.350195
Epoch[113] Batch [200]	Speed: 154.85 samples/sec	CrossEntropy=0.749082	SmoothL1=0.335149
Epoch[113] Batch [220]	Speed: 159.41 samples/sec	CrossEntropy=0.766762	SmoothL1=0.352795
Epoch[113] Batch [240]	Speed: 157.24 samples/sec	CrossEntropy=0.765505	SmoothL1=0.340878
Epoch[113] Batch [260]	Speed: 155.88 samples/sec	CrossEntropy=0.759321	SmoothL1=0.354652
Epoch[113] Batch [280]	Speed: 153.98 samples/sec	CrossEntropy=0.778863	SmoothL1=0.362700
Epoch[113] Batch [300]	Speed: 158.91 samples/sec	CrossEntropy=0.755865	SmoothL1=0.344333
Epoch[113] Batch [320]	Speed: 156.93 samples/sec	CrossEntropy=0.761158	SmoothL1=0.345491
Epoch[113] Batch [340]	Speed: 160.94 samples/sec	CrossEntropy=0.758629	SmoothL1=0.341442
Epoch[113] Train-CrossEntropy=0.769063
Epoch[113] Train-SmoothL1=0.356897
Epoch[113] Time cost=105.372
Epoch[113] Validation-aeroplane=0.463512
Epoch[113] Validation-bicycle=0.478086
Epoch[113] Validation-bird=0.216119
Epoch[113] Validation-boat=0.219652
Epoch[113] Validation-bottle=0.096651
Epoch[113] Validation-bus=0.523166
Epoch[113] Validation-car=0.554891
Epoch[113] Validation-cat=0.466133
Epoch[113] Validation-chair=0.221739
Epoch[113] Validation-cow=0.250205
Epoch[113] Validation-diningtable=0.442082
Epoch[113] Validation-dog=0.381218
Epoch[113] Validation-horse=0.572101
Epoch[113] Validation-motorbike=0.525946
Epoch[113] Validation-person=0.517317
Epoch[113] Validation-pottedplant=0.140572
Epoch[113] Validation-sheep=0.368881
Epoch[113] Validation-sofa=0.366549
Epoch[113] Validation-train=0.569070
Epoch[113] Validation-tvmonitor=0.382488
Epoch[113] Validation-mAP=0.387819
Epoch[114] Batch [20]	Speed: 152.23 samples/sec	CrossEntropy=0.768919	SmoothL1=0.366820
Epoch[114] Batch [40]	Speed: 152.95 samples/sec	CrossEntropy=0.763450	SmoothL1=0.351805
Epoch[114] Batch [60]	Speed: 158.40 samples/sec	CrossEntropy=0.783148	SmoothL1=0.361988
Epoch[114] Batch [80]	Speed: 156.94 samples/sec	CrossEntropy=0.762498	SmoothL1=0.347045
Epoch[114] Batch [100]	Speed: 154.42 samples/sec	CrossEntropy=0.743163	SmoothL1=0.344658
Epoch[114] Batch [120]	Speed: 159.06 samples/sec	CrossEntropy=0.752259	SmoothL1=0.354336
Epoch[114] Batch [140]	Speed: 158.45 samples/sec	CrossEntropy=0.769760	SmoothL1=0.359703
Epoch[114] Batch [160]	Speed: 156.64 samples/sec	CrossEntropy=0.771514	SmoothL1=0.351756
Epoch[114] Batch [180]	Speed: 155.65 samples/sec	CrossEntropy=0.758625	SmoothL1=0.349796
Epoch[114] Batch [200]	Speed: 153.82 samples/sec	CrossEntropy=0.753296	SmoothL1=0.345006
Epoch[114] Batch [220]	Speed: 158.27 samples/sec	CrossEntropy=0.754696	SmoothL1=0.353191
Epoch[114] Batch [240]	Speed: 157.14 samples/sec	CrossEntropy=0.779102	SmoothL1=0.346177
Epoch[114] Batch [260]	Speed: 156.88 samples/sec	CrossEntropy=0.768862	SmoothL1=0.360004
Epoch[114] Batch [280]	Speed: 155.86 samples/sec	CrossEntropy=0.756422	SmoothL1=0.355433
Epoch[114] Batch [300]	Speed: 157.11 samples/sec	CrossEntropy=0.765590	SmoothL1=0.344850
Epoch[114] Batch [320]	Speed: 159.58 samples/sec	CrossEntropy=0.762138	SmoothL1=0.340039
Epoch[114] Batch [340]	Speed: 161.82 samples/sec	CrossEntropy=0.771982	SmoothL1=0.337197
Epoch[114] Train-CrossEntropy=0.794841
Epoch[114] Train-SmoothL1=0.368027
Epoch[114] Time cost=105.472
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0115.params"
Epoch[114] Validation-aeroplane=0.482868
Epoch[114] Validation-bicycle=0.474577
Epoch[114] Validation-bird=0.214187
Epoch[114] Validation-boat=0.236960
Epoch[114] Validation-bottle=0.098631
Epoch[114] Validation-bus=0.542033
Epoch[114] Validation-car=0.556887
Epoch[114] Validation-cat=0.475704
Epoch[114] Validation-chair=0.216048
Epoch[114] Validation-cow=0.260499
Epoch[114] Validation-diningtable=0.446574
Epoch[114] Validation-dog=0.387215
Epoch[114] Validation-horse=0.542770
Epoch[114] Validation-motorbike=0.533444
Epoch[114] Validation-person=0.517883
Epoch[114] Validation-pottedplant=0.140197
Epoch[114] Validation-sheep=0.359543
Epoch[114] Validation-sofa=0.365425
Epoch[114] Validation-train=0.578505
Epoch[114] Validation-tvmonitor=0.389981
Epoch[114] Validation-mAP=0.390996
Epoch[115] Batch [20]	Speed: 151.26 samples/sec	CrossEntropy=0.776171	SmoothL1=0.351234
Epoch[115] Batch [40]	Speed: 158.55 samples/sec	CrossEntropy=0.761988	SmoothL1=0.346100
Epoch[115] Batch [60]	Speed: 159.02 samples/sec	CrossEntropy=0.785843	SmoothL1=0.355700
Epoch[115] Batch [80]	Speed: 160.35 samples/sec	CrossEntropy=0.767114	SmoothL1=0.352321
Epoch[115] Batch [100]	Speed: 155.39 samples/sec	CrossEntropy=0.772258	SmoothL1=0.342716
Epoch[115] Batch [120]	Speed: 158.13 samples/sec	CrossEntropy=0.761885	SmoothL1=0.360895
Epoch[115] Batch [140]	Speed: 152.64 samples/sec	CrossEntropy=0.760314	SmoothL1=0.345702
Epoch[115] Batch [160]	Speed: 155.28 samples/sec	CrossEntropy=0.784817	SmoothL1=0.356469
Epoch[115] Batch [180]	Speed: 158.54 samples/sec	CrossEntropy=0.758724	SmoothL1=0.346920
Epoch[115] Batch [200]	Speed: 151.49 samples/sec	CrossEntropy=0.762390	SmoothL1=0.333090
Epoch[115] Batch [220]	Speed: 154.60 samples/sec	CrossEntropy=0.769700	SmoothL1=0.350383
Epoch[115] Batch [240]	Speed: 156.11 samples/sec	CrossEntropy=0.771636	SmoothL1=0.370112
Epoch[115] Batch [260]	Speed: 156.98 samples/sec	CrossEntropy=0.778746	SmoothL1=0.356994
Epoch[115] Batch [280]	Speed: 154.07 samples/sec	CrossEntropy=0.776328	SmoothL1=0.357933
Epoch[115] Batch [300]	Speed: 154.16 samples/sec	CrossEntropy=0.765158	SmoothL1=0.354101
Epoch[115] Batch [320]	Speed: 156.87 samples/sec	CrossEntropy=0.756821	SmoothL1=0.335401
Epoch[115] Batch [340]	Speed: 159.79 samples/sec	CrossEntropy=0.771370	SmoothL1=0.348651
Epoch[115] Train-CrossEntropy=0.768471
Epoch[115] Train-SmoothL1=0.311129
Epoch[115] Time cost=105.678
Epoch[115] Validation-aeroplane=0.472334
Epoch[115] Validation-bicycle=0.485679
Epoch[115] Validation-bird=0.221178
Epoch[115] Validation-boat=0.229787
Epoch[115] Validation-bottle=0.097502
Epoch[115] Validation-bus=0.532736
Epoch[115] Validation-car=0.554993
Epoch[115] Validation-cat=0.486301
Epoch[115] Validation-chair=0.223435
Epoch[115] Validation-cow=0.265000
Epoch[115] Validation-diningtable=0.442012
Epoch[115] Validation-dog=0.393640
Epoch[115] Validation-horse=0.573450
Epoch[115] Validation-motorbike=0.523584
Epoch[115] Validation-person=0.521230
Epoch[115] Validation-pottedplant=0.142314
Epoch[115] Validation-sheep=0.360191
Epoch[115] Validation-sofa=0.370771
Epoch[115] Validation-train=0.580891
Epoch[115] Validation-tvmonitor=0.385384
Epoch[115] Validation-mAP=0.393121
Epoch[116] Batch [20]	Speed: 148.39 samples/sec	CrossEntropy=0.772800	SmoothL1=0.367031
Epoch[116] Batch [40]	Speed: 158.34 samples/sec	CrossEntropy=0.759886	SmoothL1=0.354515
Epoch[116] Batch [60]	Speed: 154.06 samples/sec	CrossEntropy=0.781750	SmoothL1=0.364637
Epoch[116] Batch [80]	Speed: 154.49 samples/sec	CrossEntropy=0.775670	SmoothL1=0.354635
Epoch[116] Batch [100]	Speed: 157.03 samples/sec	CrossEntropy=0.789838	SmoothL1=0.347107
Epoch[116] Batch [120]	Speed: 157.32 samples/sec	CrossEntropy=0.767933	SmoothL1=0.357594
Epoch[116] Batch [140]	Speed: 155.03 samples/sec	CrossEntropy=0.761384	SmoothL1=0.350431
Epoch[116] Batch [160]	Speed: 155.39 samples/sec	CrossEntropy=0.774365	SmoothL1=0.367997
Epoch[116] Batch [180]	Speed: 157.31 samples/sec	CrossEntropy=0.759353	SmoothL1=0.361728
Epoch[116] Batch [200]	Speed: 158.83 samples/sec	CrossEntropy=0.763711	SmoothL1=0.354009
Epoch[116] Batch [220]	Speed: 155.18 samples/sec	CrossEntropy=0.773870	SmoothL1=0.333773
Epoch[116] Batch [240]	Speed: 156.27 samples/sec	CrossEntropy=0.769059	SmoothL1=0.355175
Epoch[116] Batch [260]	Speed: 159.28 samples/sec	CrossEntropy=0.767831	SmoothL1=0.367319
Epoch[116] Batch [280]	Speed: 156.71 samples/sec	CrossEntropy=0.768386	SmoothL1=0.371623
Epoch[116] Batch [300]	Speed: 158.42 samples/sec	CrossEntropy=0.784648	SmoothL1=0.366861
Epoch[116] Batch [320]	Speed: 157.31 samples/sec	CrossEntropy=0.758493	SmoothL1=0.334770
Epoch[116] Batch [340]	Speed: 162.53 samples/sec	CrossEntropy=0.785251	SmoothL1=0.350409
Epoch[116] Train-CrossEntropy=0.789977
Epoch[116] Train-SmoothL1=0.353230
Epoch[116] Time cost=105.572
Epoch[116] Validation-aeroplane=0.474409
Epoch[116] Validation-bicycle=0.473850
Epoch[116] Validation-bird=0.212045
Epoch[116] Validation-boat=0.221636
Epoch[116] Validation-bottle=0.096861
Epoch[116] Validation-bus=0.520389
Epoch[116] Validation-car=0.549251
Epoch[116] Validation-cat=0.482633
Epoch[116] Validation-chair=0.213371
Epoch[116] Validation-cow=0.240632
Epoch[116] Validation-diningtable=0.438992
Epoch[116] Validation-dog=0.398647
Epoch[116] Validation-horse=0.572698
Epoch[116] Validation-motorbike=0.526066
Epoch[116] Validation-person=0.516727
Epoch[116] Validation-pottedplant=0.140894
Epoch[116] Validation-sheep=0.356965
Epoch[116] Validation-sofa=0.359433
Epoch[116] Validation-train=0.584805
Epoch[116] Validation-tvmonitor=0.395689
Epoch[116] Validation-mAP=0.388800
Epoch[117] Batch [20]	Speed: 149.96 samples/sec	CrossEntropy=0.764476	SmoothL1=0.363100
Epoch[117] Batch [40]	Speed: 153.66 samples/sec	CrossEntropy=0.766874	SmoothL1=0.347897
Epoch[117] Batch [60]	Speed: 155.74 samples/sec	CrossEntropy=0.778771	SmoothL1=0.348581
Epoch[117] Batch [80]	Speed: 155.94 samples/sec	CrossEntropy=0.785213	SmoothL1=0.364097
Epoch[117] Batch [100]	Speed: 155.22 samples/sec	CrossEntropy=0.768269	SmoothL1=0.344525
Epoch[117] Batch [120]	Speed: 154.56 samples/sec	CrossEntropy=0.779471	SmoothL1=0.349146
Epoch[117] Batch [140]	Speed: 156.55 samples/sec	CrossEntropy=0.762622	SmoothL1=0.367691
Epoch[117] Batch [160]	Speed: 157.93 samples/sec	CrossEntropy=0.776155	SmoothL1=0.339240
Epoch[117] Batch [180]	Speed: 156.36 samples/sec	CrossEntropy=0.756169	SmoothL1=0.353030
Epoch[117] Batch [200]	Speed: 158.88 samples/sec	CrossEntropy=0.769204	SmoothL1=0.343577
Epoch[117] Batch [220]	Speed: 155.92 samples/sec	CrossEntropy=0.774766	SmoothL1=0.342160
Epoch[117] Batch [240]	Speed: 149.91 samples/sec	CrossEntropy=0.779087	SmoothL1=0.359154
Epoch[117] Batch [260]	Speed: 155.81 samples/sec	CrossEntropy=0.786107	SmoothL1=0.356535
Epoch[117] Batch [280]	Speed: 157.54 samples/sec	CrossEntropy=0.759347	SmoothL1=0.365444
Epoch[117] Batch [300]	Speed: 152.61 samples/sec	CrossEntropy=0.776833	SmoothL1=0.352443
Epoch[117] Batch [320]	Speed: 162.50 samples/sec	CrossEntropy=0.762717	SmoothL1=0.339596
Epoch[117] Batch [340]	Speed: 160.30 samples/sec	CrossEntropy=0.767724	SmoothL1=0.350066
Epoch[117] Train-CrossEntropy=0.810247
Epoch[117] Train-SmoothL1=0.357533
Epoch[117] Time cost=106.077
Epoch[117] Validation-aeroplane=0.476195
Epoch[117] Validation-bicycle=0.486176
Epoch[117] Validation-bird=0.219849
Epoch[117] Validation-boat=0.221149
Epoch[117] Validation-bottle=0.096726
Epoch[117] Validation-bus=0.537848
Epoch[117] Validation-car=0.554901
Epoch[117] Validation-cat=0.476761
Epoch[117] Validation-chair=0.219475
Epoch[117] Validation-cow=0.242097
Epoch[117] Validation-diningtable=0.452241
Epoch[117] Validation-dog=0.406786
Epoch[117] Validation-horse=0.567343
Epoch[117] Validation-motorbike=0.546318
Epoch[117] Validation-person=0.519373
Epoch[117] Validation-pottedplant=0.147010
Epoch[117] Validation-sheep=0.366652
Epoch[117] Validation-sofa=0.356701
Epoch[117] Validation-train=0.572707
Epoch[117] Validation-tvmonitor=0.398292
Epoch[117] Validation-mAP=0.393230
Epoch[118] Batch [20]	Speed: 148.90 samples/sec	CrossEntropy=0.765413	SmoothL1=0.351332
Epoch[118] Batch [40]	Speed: 156.98 samples/sec	CrossEntropy=0.769203	SmoothL1=0.360342
Epoch[118] Batch [60]	Speed: 156.73 samples/sec	CrossEntropy=0.779558	SmoothL1=0.361386
Epoch[118] Batch [80]	Speed: 157.85 samples/sec	CrossEntropy=0.769057	SmoothL1=0.350516
Epoch[118] Batch [100]	Speed: 158.52 samples/sec	CrossEntropy=0.768217	SmoothL1=0.344114
Epoch[118] Batch [120]	Speed: 155.58 samples/sec	CrossEntropy=0.759299	SmoothL1=0.360695
Epoch[118] Batch [140]	Speed: 161.32 samples/sec	CrossEntropy=0.764441	SmoothL1=0.352888
Epoch[118] Batch [160]	Speed: 156.55 samples/sec	CrossEntropy=0.774846	SmoothL1=0.353481
Epoch[118] Batch [180]	Speed: 154.16 samples/sec	CrossEntropy=0.754082	SmoothL1=0.358227
Epoch[118] Batch [200]	Speed: 156.09 samples/sec	CrossEntropy=0.765386	SmoothL1=0.357572
Epoch[118] Batch [220]	Speed: 156.52 samples/sec	CrossEntropy=0.758495	SmoothL1=0.350015
Epoch[118] Batch [240]	Speed: 153.89 samples/sec	CrossEntropy=0.782010	SmoothL1=0.354774
Epoch[118] Batch [260]	Speed: 160.25 samples/sec	CrossEntropy=0.770770	SmoothL1=0.363850
Epoch[118] Batch [280]	Speed: 155.00 samples/sec	CrossEntropy=0.771107	SmoothL1=0.360469
Epoch[118] Batch [300]	Speed: 155.53 samples/sec	CrossEntropy=0.772276	SmoothL1=0.357222
Epoch[118] Batch [320]	Speed: 159.90 samples/sec	CrossEntropy=0.755988	SmoothL1=0.352208
Epoch[118] Batch [340]	Speed: 160.44 samples/sec	CrossEntropy=0.792561	SmoothL1=0.358967
Epoch[118] Train-CrossEntropy=0.771530
Epoch[118] Train-SmoothL1=0.364969
Epoch[118] Time cost=105.490
Epoch[118] Validation-aeroplane=0.479594
Epoch[118] Validation-bicycle=0.480534
Epoch[118] Validation-bird=0.213187
Epoch[118] Validation-boat=0.230606
Epoch[118] Validation-bottle=0.098536
Epoch[118] Validation-bus=0.536954
Epoch[118] Validation-car=0.556906
Epoch[118] Validation-cat=0.475858
Epoch[118] Validation-chair=0.223188
Epoch[118] Validation-cow=0.240021
Epoch[118] Validation-diningtable=0.448896
Epoch[118] Validation-dog=0.411605
Epoch[118] Validation-horse=0.563535
Epoch[118] Validation-motorbike=0.525962
Epoch[118] Validation-person=0.519616
Epoch[118] Validation-pottedplant=0.146925
Epoch[118] Validation-sheep=0.369563
Epoch[118] Validation-sofa=0.348639
Epoch[118] Validation-train=0.585028
Epoch[118] Validation-tvmonitor=0.378284
Epoch[118] Validation-mAP=0.391672
Epoch[119] Batch [20]	Speed: 146.23 samples/sec	CrossEntropy=0.763949	SmoothL1=0.351497
Epoch[119] Batch [40]	Speed: 156.13 samples/sec	CrossEntropy=0.746819	SmoothL1=0.343360
Epoch[119] Batch [60]	Speed: 156.55 samples/sec	CrossEntropy=0.766117	SmoothL1=0.353427
Epoch[119] Batch [80]	Speed: 155.00 samples/sec	CrossEntropy=0.767129	SmoothL1=0.362679
Epoch[119] Batch [100]	Speed: 159.88 samples/sec	CrossEntropy=0.775792	SmoothL1=0.347277
Epoch[119] Batch [120]	Speed: 155.75 samples/sec	CrossEntropy=0.770764	SmoothL1=0.365688
Epoch[119] Batch [140]	Speed: 159.34 samples/sec	CrossEntropy=0.766346	SmoothL1=0.348372
Epoch[119] Batch [160]	Speed: 157.55 samples/sec	CrossEntropy=0.769192	SmoothL1=0.337111
Epoch[119] Batch [180]	Speed: 159.42 samples/sec	CrossEntropy=0.748137	SmoothL1=0.332318
Epoch[119] Batch [200]	Speed: 155.77 samples/sec	CrossEntropy=0.768127	SmoothL1=0.337288
Epoch[119] Batch [220]	Speed: 158.40 samples/sec	CrossEntropy=0.778592	SmoothL1=0.362117
Epoch[119] Batch [240]	Speed: 162.21 samples/sec	CrossEntropy=0.779585	SmoothL1=0.350435
Epoch[119] Batch [260]	Speed: 157.16 samples/sec	CrossEntropy=0.768516	SmoothL1=0.365178
Epoch[119] Batch [280]	Speed: 156.78 samples/sec	CrossEntropy=0.770155	SmoothL1=0.361305
Epoch[119] Batch [300]	Speed: 156.84 samples/sec	CrossEntropy=0.776526	SmoothL1=0.359193
Epoch[119] Batch [320]	Speed: 155.08 samples/sec	CrossEntropy=0.754514	SmoothL1=0.335469
Epoch[119] Batch [340]	Speed: 160.78 samples/sec	CrossEntropy=0.768720	SmoothL1=0.339329
Epoch[119] Train-CrossEntropy=0.763172
Epoch[119] Train-SmoothL1=0.335458
Epoch[119] Time cost=105.384
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0120.params"
Epoch[119] Validation-aeroplane=0.465637
Epoch[119] Validation-bicycle=0.475304
Epoch[119] Validation-bird=0.220442
Epoch[119] Validation-boat=0.230243
Epoch[119] Validation-bottle=0.096812
Epoch[119] Validation-bus=0.523841
Epoch[119] Validation-car=0.559894
Epoch[119] Validation-cat=0.473863
Epoch[119] Validation-chair=0.219869
Epoch[119] Validation-cow=0.253397
Epoch[119] Validation-diningtable=0.442011
Epoch[119] Validation-dog=0.402475
Epoch[119] Validation-horse=0.567653
Epoch[119] Validation-motorbike=0.542568
Epoch[119] Validation-person=0.520417
Epoch[119] Validation-pottedplant=0.140419
Epoch[119] Validation-sheep=0.354545
Epoch[119] Validation-sofa=0.340832
Epoch[119] Validation-train=0.570780
Epoch[119] Validation-tvmonitor=0.384418
Epoch[119] Validation-mAP=0.389271
Epoch[120] Batch [20]	Speed: 147.24 samples/sec	CrossEntropy=0.772260	SmoothL1=0.354074
Epoch[120] Batch [40]	Speed: 158.31 samples/sec	CrossEntropy=0.762685	SmoothL1=0.349258
Epoch[120] Batch [60]	Speed: 158.43 samples/sec	CrossEntropy=0.780462	SmoothL1=0.344779
Epoch[120] Batch [80]	Speed: 157.56 samples/sec	CrossEntropy=0.768704	SmoothL1=0.352869
Epoch[120] Batch [100]	Speed: 154.26 samples/sec	CrossEntropy=0.758858	SmoothL1=0.351733
Epoch[120] Batch [120]	Speed: 160.24 samples/sec	CrossEntropy=0.780993	SmoothL1=0.359039
Epoch[120] Batch [140]	Speed: 157.84 samples/sec	CrossEntropy=0.761443	SmoothL1=0.343638
Epoch[120] Batch [160]	Speed: 156.16 samples/sec	CrossEntropy=0.777400	SmoothL1=0.345445
Epoch[120] Batch [180]	Speed: 158.18 samples/sec	CrossEntropy=0.765675	SmoothL1=0.346309
Epoch[120] Batch [200]	Speed: 153.07 samples/sec	CrossEntropy=0.765636	SmoothL1=0.347910
Epoch[120] Batch [220]	Speed: 160.10 samples/sec	CrossEntropy=0.755239	SmoothL1=0.337695
Epoch[120] Batch [240]	Speed: 156.09 samples/sec	CrossEntropy=0.785720	SmoothL1=0.346062
Epoch[120] Batch [260]	Speed: 159.41 samples/sec	CrossEntropy=0.762518	SmoothL1=0.357349
Epoch[120] Batch [280]	Speed: 155.18 samples/sec	CrossEntropy=0.769653	SmoothL1=0.357730
Epoch[120] Batch [300]	Speed: 157.07 samples/sec	CrossEntropy=0.779415	SmoothL1=0.361427
Epoch[120] Batch [320]	Speed: 156.68 samples/sec	CrossEntropy=0.754116	SmoothL1=0.337512
Epoch[120] Batch [340]	Speed: 162.72 samples/sec	CrossEntropy=0.778292	SmoothL1=0.338400
Epoch[120] Train-CrossEntropy=0.827004
Epoch[120] Train-SmoothL1=0.363253
Epoch[120] Time cost=105.095
Epoch[120] Validation-aeroplane=0.473255
Epoch[120] Validation-bicycle=0.473289
Epoch[120] Validation-bird=0.225042
Epoch[120] Validation-boat=0.237028
Epoch[120] Validation-bottle=0.098118
Epoch[120] Validation-bus=0.525117
Epoch[120] Validation-car=0.551048
Epoch[120] Validation-cat=0.483511
Epoch[120] Validation-chair=0.213063
Epoch[120] Validation-cow=0.246366
Epoch[120] Validation-diningtable=0.464611
Epoch[120] Validation-dog=0.384448
Epoch[120] Validation-horse=0.572387
Epoch[120] Validation-motorbike=0.543504
Epoch[120] Validation-person=0.517368
Epoch[120] Validation-pottedplant=0.144871
Epoch[120] Validation-sheep=0.369505
Epoch[120] Validation-sofa=0.355896
Epoch[120] Validation-train=0.592366
Epoch[120] Validation-tvmonitor=0.393187
Epoch[120] Validation-mAP=0.393199
Epoch[121] Batch [20]	Speed: 153.93 samples/sec	CrossEntropy=0.763694	SmoothL1=0.353908
Epoch[121] Batch [40]	Speed: 161.33 samples/sec	CrossEntropy=0.764488	SmoothL1=0.348084
Epoch[121] Batch [60]	Speed: 159.67 samples/sec	CrossEntropy=0.773209	SmoothL1=0.370990
Epoch[121] Batch [80]	Speed: 158.12 samples/sec	CrossEntropy=0.762859	SmoothL1=0.347984
Epoch[121] Batch [100]	Speed: 159.04 samples/sec	CrossEntropy=0.778632	SmoothL1=0.338223
Epoch[121] Batch [120]	Speed: 159.56 samples/sec	CrossEntropy=0.759495	SmoothL1=0.372641
Epoch[121] Batch [140]	Speed: 157.37 samples/sec	CrossEntropy=0.758847	SmoothL1=0.354214
Epoch[121] Batch [160]	Speed: 155.02 samples/sec	CrossEntropy=0.780943	SmoothL1=0.360372
Epoch[121] Batch [180]	Speed: 156.93 samples/sec	CrossEntropy=0.758102	SmoothL1=0.352682
Epoch[121] Batch [200]	Speed: 156.24 samples/sec	CrossEntropy=0.759729	SmoothL1=0.339795
Epoch[121] Batch [220]	Speed: 157.64 samples/sec	CrossEntropy=0.775011	SmoothL1=0.344117
Epoch[121] Batch [240]	Speed: 159.95 samples/sec	CrossEntropy=0.775400	SmoothL1=0.346563
Epoch[121] Batch [260]	Speed: 151.54 samples/sec	CrossEntropy=0.768742	SmoothL1=0.359888
Epoch[121] Batch [280]	Speed: 155.02 samples/sec	CrossEntropy=0.761176	SmoothL1=0.361642
Epoch[121] Batch [300]	Speed: 153.84 samples/sec	CrossEntropy=0.766356	SmoothL1=0.356423
Epoch[121] Batch [320]	Speed: 155.87 samples/sec	CrossEntropy=0.768142	SmoothL1=0.339632
Epoch[121] Batch [340]	Speed: 162.30 samples/sec	CrossEntropy=0.773257	SmoothL1=0.352290
Epoch[121] Train-CrossEntropy=0.780762
Epoch[121] Train-SmoothL1=0.376462
Epoch[121] Time cost=105.135
Epoch[121] Validation-aeroplane=0.462078
Epoch[121] Validation-bicycle=0.481119
Epoch[121] Validation-bird=0.222085
Epoch[121] Validation-boat=0.246187
Epoch[121] Validation-bottle=0.097154
Epoch[121] Validation-bus=0.524546
Epoch[121] Validation-car=0.554904
Epoch[121] Validation-cat=0.483176
Epoch[121] Validation-chair=0.220550
Epoch[121] Validation-cow=0.234365
Epoch[121] Validation-diningtable=0.460127
Epoch[121] Validation-dog=0.396213
Epoch[121] Validation-horse=0.564911
Epoch[121] Validation-motorbike=0.552095
Epoch[121] Validation-person=0.523757
Epoch[121] Validation-pottedplant=0.146885
Epoch[121] Validation-sheep=0.368104
Epoch[121] Validation-sofa=0.348028
Epoch[121] Validation-train=0.585897
Epoch[121] Validation-tvmonitor=0.403544
Epoch[121] Validation-mAP=0.393786
Epoch[122] Batch [20]	Speed: 153.17 samples/sec	CrossEntropy=0.777668	SmoothL1=0.363225
Epoch[122] Batch [40]	Speed: 159.64 samples/sec	CrossEntropy=0.761667	SmoothL1=0.349425
Epoch[122] Batch [60]	Speed: 158.48 samples/sec	CrossEntropy=0.764318	SmoothL1=0.343863
Epoch[122] Batch [80]	Speed: 156.75 samples/sec	CrossEntropy=0.770423	SmoothL1=0.347583
Epoch[122] Batch [100]	Speed: 160.58 samples/sec	CrossEntropy=0.768493	SmoothL1=0.350559
Epoch[122] Batch [120]	Speed: 160.27 samples/sec	CrossEntropy=0.768121	SmoothL1=0.361496
Epoch[122] Batch [140]	Speed: 159.99 samples/sec	CrossEntropy=0.759115	SmoothL1=0.351218
Epoch[122] Batch [160]	Speed: 156.64 samples/sec	CrossEntropy=0.780035	SmoothL1=0.356793
Epoch[122] Batch [180]	Speed: 156.97 samples/sec	CrossEntropy=0.751520	SmoothL1=0.352324
Epoch[122] Batch [200]	Speed: 157.08 samples/sec	CrossEntropy=0.757675	SmoothL1=0.338920
Epoch[122] Batch [220]	Speed: 158.01 samples/sec	CrossEntropy=0.765858	SmoothL1=0.346100
Epoch[122] Batch [240]	Speed: 159.08 samples/sec	CrossEntropy=0.765014	SmoothL1=0.352153
Epoch[122] Batch [260]	Speed: 157.67 samples/sec	CrossEntropy=0.754552	SmoothL1=0.354383
Epoch[122] Batch [280]	Speed: 160.67 samples/sec	CrossEntropy=0.776105	SmoothL1=0.350998
Epoch[122] Batch [300]	Speed: 155.35 samples/sec	CrossEntropy=0.772208	SmoothL1=0.357838
Epoch[122] Batch [320]	Speed: 158.59 samples/sec	CrossEntropy=0.762560	SmoothL1=0.351615
Epoch[122] Batch [340]	Speed: 163.39 samples/sec	CrossEntropy=0.761091	SmoothL1=0.339365
Epoch[122] Train-CrossEntropy=0.830071
Epoch[122] Train-SmoothL1=0.358838
Epoch[122] Time cost=104.398
Epoch[122] Validation-aeroplane=0.465611
Epoch[122] Validation-bicycle=0.476991
Epoch[122] Validation-bird=0.218559
Epoch[122] Validation-boat=0.223602
Epoch[122] Validation-bottle=0.098440
Epoch[122] Validation-bus=0.535159
Epoch[122] Validation-car=0.560567
Epoch[122] Validation-cat=0.472640
Epoch[122] Validation-chair=0.217939
Epoch[122] Validation-cow=0.260336
Epoch[122] Validation-diningtable=0.433167
Epoch[122] Validation-dog=0.410467
Epoch[122] Validation-horse=0.565268
Epoch[122] Validation-motorbike=0.554887
Epoch[122] Validation-person=0.517417
Epoch[122] Validation-pottedplant=0.138713
Epoch[122] Validation-sheep=0.353720
Epoch[122] Validation-sofa=0.339282
Epoch[122] Validation-train=0.565146
Epoch[122] Validation-tvmonitor=0.386523
Epoch[122] Validation-mAP=0.389722
Epoch[123] Batch [20]	Speed: 149.67 samples/sec	CrossEntropy=0.772050	SmoothL1=0.347077
Epoch[123] Batch [40]	Speed: 156.30 samples/sec	CrossEntropy=0.758860	SmoothL1=0.339308
Epoch[123] Batch [60]	Speed: 159.13 samples/sec	CrossEntropy=0.770714	SmoothL1=0.351435
Epoch[123] Batch [80]	Speed: 158.91 samples/sec	CrossEntropy=0.768420	SmoothL1=0.341646
Epoch[123] Batch [100]	Speed: 160.43 samples/sec	CrossEntropy=0.758761	SmoothL1=0.339428
Epoch[123] Batch [120]	Speed: 156.72 samples/sec	CrossEntropy=0.763724	SmoothL1=0.348867
Epoch[123] Batch [140]	Speed: 158.45 samples/sec	CrossEntropy=0.755027	SmoothL1=0.366475
Epoch[123] Batch [160]	Speed: 159.55 samples/sec	CrossEntropy=0.769493	SmoothL1=0.352100
Epoch[123] Batch [180]	Speed: 157.86 samples/sec	CrossEntropy=0.760144	SmoothL1=0.352087
Epoch[123] Batch [200]	Speed: 158.09 samples/sec	CrossEntropy=0.757733	SmoothL1=0.346657
Epoch[123] Batch [220]	Speed: 157.70 samples/sec	CrossEntropy=0.758865	SmoothL1=0.348397
Epoch[123] Batch [240]	Speed: 161.32 samples/sec	CrossEntropy=0.766677	SmoothL1=0.338479
Epoch[123] Batch [260]	Speed: 156.78 samples/sec	CrossEntropy=0.771157	SmoothL1=0.365480
Epoch[123] Batch [280]	Speed: 157.74 samples/sec	CrossEntropy=0.763057	SmoothL1=0.367606
Epoch[123] Batch [300]	Speed: 158.15 samples/sec	CrossEntropy=0.760705	SmoothL1=0.351062
Epoch[123] Batch [320]	Speed: 158.89 samples/sec	CrossEntropy=0.754817	SmoothL1=0.340096
Epoch[123] Batch [340]	Speed: 161.32 samples/sec	CrossEntropy=0.764413	SmoothL1=0.352474
Epoch[123] Train-CrossEntropy=0.797431
Epoch[123] Train-SmoothL1=0.346218
Epoch[123] Time cost=104.585
Epoch[123] Validation-aeroplane=0.480523
Epoch[123] Validation-bicycle=0.479697
Epoch[123] Validation-bird=0.227692
Epoch[123] Validation-boat=0.229978
Epoch[123] Validation-bottle=0.098034
Epoch[123] Validation-bus=0.531979
Epoch[123] Validation-car=0.559275
Epoch[123] Validation-cat=0.472061
Epoch[123] Validation-chair=0.214426
Epoch[123] Validation-cow=0.254775
Epoch[123] Validation-diningtable=0.464575
Epoch[123] Validation-dog=0.409251
Epoch[123] Validation-horse=0.565958
Epoch[123] Validation-motorbike=0.553317
Epoch[123] Validation-person=0.521552
Epoch[123] Validation-pottedplant=0.142540
Epoch[123] Validation-sheep=0.367075
Epoch[123] Validation-sofa=0.370413
Epoch[123] Validation-train=0.553820
Epoch[123] Validation-tvmonitor=0.399181
Epoch[123] Validation-mAP=0.394806
Epoch[124] Batch [20]	Speed: 145.17 samples/sec	CrossEntropy=0.762098	SmoothL1=0.353645
Epoch[124] Batch [40]	Speed: 157.81 samples/sec	CrossEntropy=0.752840	SmoothL1=0.349566
Epoch[124] Batch [60]	Speed: 159.73 samples/sec	CrossEntropy=0.776759	SmoothL1=0.353011
Epoch[124] Batch [80]	Speed: 157.36 samples/sec	CrossEntropy=0.763817	SmoothL1=0.352062
Epoch[124] Batch [100]	Speed: 157.94 samples/sec	CrossEntropy=0.761221	SmoothL1=0.340856
Epoch[124] Batch [120]	Speed: 159.17 samples/sec	CrossEntropy=0.764876	SmoothL1=0.372261
Epoch[124] Batch [140]	Speed: 160.54 samples/sec	CrossEntropy=0.756913	SmoothL1=0.349811
Epoch[124] Batch [160]	Speed: 156.98 samples/sec	CrossEntropy=0.770239	SmoothL1=0.347016
Epoch[124] Batch [180]	Speed: 156.46 samples/sec	CrossEntropy=0.762784	SmoothL1=0.350233
Epoch[124] Batch [200]	Speed: 159.14 samples/sec	CrossEntropy=0.755603	SmoothL1=0.344843
Epoch[124] Batch [220]	Speed: 156.61 samples/sec	CrossEntropy=0.758178	SmoothL1=0.352393
Epoch[124] Batch [240]	Speed: 155.71 samples/sec	CrossEntropy=0.777474	SmoothL1=0.359200
Epoch[124] Batch [260]	Speed: 160.02 samples/sec	CrossEntropy=0.759408	SmoothL1=0.351388
Epoch[124] Batch [280]	Speed: 155.10 samples/sec	CrossEntropy=0.760813	SmoothL1=0.352254
Epoch[124] Batch [300]	Speed: 154.98 samples/sec	CrossEntropy=0.775129	SmoothL1=0.352243
Epoch[124] Batch [320]	Speed: 157.64 samples/sec	CrossEntropy=0.767498	SmoothL1=0.345375
Epoch[124] Batch [340]	Speed: 163.23 samples/sec	CrossEntropy=0.766616	SmoothL1=0.344923
Epoch[124] Train-CrossEntropy=0.775720
Epoch[124] Train-SmoothL1=0.344091
Epoch[124] Time cost=105.165
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0125.params"
Epoch[124] Validation-aeroplane=0.475231
Epoch[124] Validation-bicycle=0.490506
Epoch[124] Validation-bird=0.218561
Epoch[124] Validation-boat=0.237922
Epoch[124] Validation-bottle=0.097420
Epoch[124] Validation-bus=0.527674
Epoch[124] Validation-car=0.549121
Epoch[124] Validation-cat=0.481876
Epoch[124] Validation-chair=0.218697
Epoch[124] Validation-cow=0.236442
Epoch[124] Validation-diningtable=0.457483
Epoch[124] Validation-dog=0.410314
Epoch[124] Validation-horse=0.582152
Epoch[124] Validation-motorbike=0.550684
Epoch[124] Validation-person=0.526759
Epoch[124] Validation-pottedplant=0.149278
Epoch[124] Validation-sheep=0.354685
Epoch[124] Validation-sofa=0.356294
Epoch[124] Validation-train=0.584887
Epoch[124] Validation-tvmonitor=0.388038
Epoch[124] Validation-mAP=0.394701
Epoch[125] Batch [20]	Speed: 146.47 samples/sec	CrossEntropy=0.769201	SmoothL1=0.356430
Epoch[125] Batch [40]	Speed: 158.25 samples/sec	CrossEntropy=0.761435	SmoothL1=0.347405
Epoch[125] Batch [60]	Speed: 154.46 samples/sec	CrossEntropy=0.767388	SmoothL1=0.340057
Epoch[125] Batch [80]	Speed: 160.70 samples/sec	CrossEntropy=0.767429	SmoothL1=0.359520
Epoch[125] Batch [100]	Speed: 157.13 samples/sec	CrossEntropy=0.756920	SmoothL1=0.340641
Epoch[125] Batch [120]	Speed: 156.52 samples/sec	CrossEntropy=0.751895	SmoothL1=0.350005
Epoch[125] Batch [140]	Speed: 153.27 samples/sec	CrossEntropy=0.759998	SmoothL1=0.340729
Epoch[125] Batch [160]	Speed: 159.84 samples/sec	CrossEntropy=0.778561	SmoothL1=0.358283
Epoch[125] Batch [180]	Speed: 156.75 samples/sec	CrossEntropy=0.759630	SmoothL1=0.349117
Epoch[125] Batch [200]	Speed: 157.27 samples/sec	CrossEntropy=0.764066	SmoothL1=0.341591
Epoch[125] Batch [220]	Speed: 157.54 samples/sec	CrossEntropy=0.763415	SmoothL1=0.329855
Epoch[125] Batch [240]	Speed: 157.71 samples/sec	CrossEntropy=0.776619	SmoothL1=0.358323
Epoch[125] Batch [260]	Speed: 159.49 samples/sec	CrossEntropy=0.767195	SmoothL1=0.352479
Epoch[125] Batch [280]	Speed: 155.01 samples/sec	CrossEntropy=0.767198	SmoothL1=0.356963
Epoch[125] Batch [300]	Speed: 158.70 samples/sec	CrossEntropy=0.771981	SmoothL1=0.359318
Epoch[125] Batch [320]	Speed: 159.19 samples/sec	CrossEntropy=0.763445	SmoothL1=0.336650
Epoch[125] Batch [340]	Speed: 166.23 samples/sec	CrossEntropy=0.776993	SmoothL1=0.360478
Epoch[125] Train-CrossEntropy=0.787050
Epoch[125] Train-SmoothL1=0.354879
Epoch[125] Time cost=104.879
Epoch[125] Validation-aeroplane=0.486939
Epoch[125] Validation-bicycle=0.489096
Epoch[125] Validation-bird=0.227611
Epoch[125] Validation-boat=0.241104
Epoch[125] Validation-bottle=0.098860
Epoch[125] Validation-bus=0.533202
Epoch[125] Validation-car=0.554820
Epoch[125] Validation-cat=0.471651
Epoch[125] Validation-chair=0.222356
Epoch[125] Validation-cow=0.250121
Epoch[125] Validation-diningtable=0.459058
Epoch[125] Validation-dog=0.398460
Epoch[125] Validation-horse=0.579001
Epoch[125] Validation-motorbike=0.528985
Epoch[125] Validation-person=0.520870
Epoch[125] Validation-pottedplant=0.143571
Epoch[125] Validation-sheep=0.365837
Epoch[125] Validation-sofa=0.353563
Epoch[125] Validation-train=0.584066
Epoch[125] Validation-tvmonitor=0.389785
Epoch[125] Validation-mAP=0.394948
Epoch[126] Batch [20]	Speed: 148.66 samples/sec	CrossEntropy=0.763896	SmoothL1=0.358512
Epoch[126] Batch [40]	Speed: 154.10 samples/sec	CrossEntropy=0.773941	SmoothL1=0.352198
Epoch[126] Batch [60]	Speed: 158.98 samples/sec	CrossEntropy=0.772719	SmoothL1=0.350586
Epoch[126] Batch [80]	Speed: 158.25 samples/sec	CrossEntropy=0.772215	SmoothL1=0.350918
Epoch[126] Batch [100]	Speed: 159.43 samples/sec	CrossEntropy=0.766275	SmoothL1=0.344211
Epoch[126] Batch [120]	Speed: 154.48 samples/sec	CrossEntropy=0.758019	SmoothL1=0.356318
Epoch[126] Batch [140]	Speed: 158.53 samples/sec	CrossEntropy=0.756267	SmoothL1=0.353726
Epoch[126] Batch [160]	Speed: 160.59 samples/sec	CrossEntropy=0.771514	SmoothL1=0.350103
Epoch[126] Batch [180]	Speed: 159.33 samples/sec	CrossEntropy=0.758845	SmoothL1=0.360582
Epoch[126] Batch [200]	Speed: 159.94 samples/sec	CrossEntropy=0.756359	SmoothL1=0.334924
Epoch[126] Batch [220]	Speed: 155.00 samples/sec	CrossEntropy=0.747320	SmoothL1=0.340227
Epoch[126] Batch [240]	Speed: 157.32 samples/sec	CrossEntropy=0.770255	SmoothL1=0.348931
Epoch[126] Batch [260]	Speed: 156.84 samples/sec	CrossEntropy=0.766871	SmoothL1=0.355167
Epoch[126] Batch [280]	Speed: 157.76 samples/sec	CrossEntropy=0.766339	SmoothL1=0.363155
Epoch[126] Batch [300]	Speed: 155.54 samples/sec	CrossEntropy=0.768413	SmoothL1=0.358293
Epoch[126] Batch [320]	Speed: 159.70 samples/sec	CrossEntropy=0.755666	SmoothL1=0.331153
Epoch[126] Batch [340]	Speed: 159.02 samples/sec	CrossEntropy=0.768660	SmoothL1=0.348965
Epoch[126] Train-CrossEntropy=0.758645
Epoch[126] Train-SmoothL1=0.338932
Epoch[126] Time cost=105.428
Epoch[126] Validation-aeroplane=0.469478
Epoch[126] Validation-bicycle=0.487984
Epoch[126] Validation-bird=0.221380
Epoch[126] Validation-boat=0.227359
Epoch[126] Validation-bottle=0.097272
Epoch[126] Validation-bus=0.535499
Epoch[126] Validation-car=0.553662
Epoch[126] Validation-cat=0.487681
Epoch[126] Validation-chair=0.216756
Epoch[126] Validation-cow=0.251032
Epoch[126] Validation-diningtable=0.465416
Epoch[126] Validation-dog=0.414393
Epoch[126] Validation-horse=0.583684
Epoch[126] Validation-motorbike=0.529303
Epoch[126] Validation-person=0.523695
Epoch[126] Validation-pottedplant=0.148488
Epoch[126] Validation-sheep=0.358089
Epoch[126] Validation-sofa=0.352101
Epoch[126] Validation-train=0.575111
Epoch[126] Validation-tvmonitor=0.398144
Epoch[126] Validation-mAP=0.394826
Epoch[127] Batch [20]	Speed: 147.64 samples/sec	CrossEntropy=0.776690	SmoothL1=0.355099
Epoch[127] Batch [40]	Speed: 159.18 samples/sec	CrossEntropy=0.767013	SmoothL1=0.348026
Epoch[127] Batch [60]	Speed: 156.19 samples/sec	CrossEntropy=0.779389	SmoothL1=0.346202
Epoch[127] Batch [80]	Speed: 158.12 samples/sec	CrossEntropy=0.759017	SmoothL1=0.343029
Epoch[127] Batch [100]	Speed: 154.27 samples/sec	CrossEntropy=0.766826	SmoothL1=0.345395
Epoch[127] Batch [120]	Speed: 156.15 samples/sec	CrossEntropy=0.751115	SmoothL1=0.356346
Epoch[127] Batch [140]	Speed: 156.81 samples/sec	CrossEntropy=0.761638	SmoothL1=0.360831
Epoch[127] Batch [160]	Speed: 154.84 samples/sec	CrossEntropy=0.765335	SmoothL1=0.348857
Epoch[127] Batch [180]	Speed: 155.84 samples/sec	CrossEntropy=0.751427	SmoothL1=0.335432
Epoch[127] Batch [200]	Speed: 157.73 samples/sec	CrossEntropy=0.759618	SmoothL1=0.337938
Epoch[127] Batch [220]	Speed: 160.63 samples/sec	CrossEntropy=0.766187	SmoothL1=0.342066
Epoch[127] Batch [240]	Speed: 158.22 samples/sec	CrossEntropy=0.767001	SmoothL1=0.345173
Epoch[127] Batch [260]	Speed: 157.54 samples/sec	CrossEntropy=0.773901	SmoothL1=0.357364
Epoch[127] Batch [280]	Speed: 157.95 samples/sec	CrossEntropy=0.767064	SmoothL1=0.355122
Epoch[127] Batch [300]	Speed: 158.45 samples/sec	CrossEntropy=0.762154	SmoothL1=0.350501
Epoch[127] Batch [320]	Speed: 159.76 samples/sec	CrossEntropy=0.742722	SmoothL1=0.341146
Epoch[127] Batch [340]	Speed: 160.55 samples/sec	CrossEntropy=0.768225	SmoothL1=0.351705
Epoch[127] Train-CrossEntropy=0.786145
Epoch[127] Train-SmoothL1=0.358785
Epoch[127] Time cost=105.252
Epoch[127] Validation-aeroplane=0.466236
Epoch[127] Validation-bicycle=0.486348
Epoch[127] Validation-bird=0.226195
Epoch[127] Validation-boat=0.240280
Epoch[127] Validation-bottle=0.097810
Epoch[127] Validation-bus=0.519637
Epoch[127] Validation-car=0.550517
Epoch[127] Validation-cat=0.482378
Epoch[127] Validation-chair=0.220932
Epoch[127] Validation-cow=0.237260
Epoch[127] Validation-diningtable=0.468385
Epoch[127] Validation-dog=0.404546
Epoch[127] Validation-horse=0.578956
Epoch[127] Validation-motorbike=0.525781
Epoch[127] Validation-person=0.524022
Epoch[127] Validation-pottedplant=0.148729
Epoch[127] Validation-sheep=0.372084
Epoch[127] Validation-sofa=0.364416
Epoch[127] Validation-train=0.583376
Epoch[127] Validation-tvmonitor=0.395408
Epoch[127] Validation-mAP=0.394665
Epoch[128] Batch [20]	Speed: 146.36 samples/sec	CrossEntropy=0.772137	SmoothL1=0.357562
Epoch[128] Batch [40]	Speed: 157.39 samples/sec	CrossEntropy=0.756706	SmoothL1=0.345067
Epoch[128] Batch [60]	Speed: 160.29 samples/sec	CrossEntropy=0.773557	SmoothL1=0.346632
Epoch[128] Batch [80]	Speed: 156.49 samples/sec	CrossEntropy=0.766789	SmoothL1=0.350147
Epoch[128] Batch [100]	Speed: 159.18 samples/sec	CrossEntropy=0.772730	SmoothL1=0.351939
Epoch[128] Batch [120]	Speed: 158.34 samples/sec	CrossEntropy=0.752662	SmoothL1=0.360350
Epoch[128] Batch [140]	Speed: 159.12 samples/sec	CrossEntropy=0.758037	SmoothL1=0.344978
Epoch[128] Batch [160]	Speed: 160.01 samples/sec	CrossEntropy=0.776297	SmoothL1=0.345125
Epoch[128] Batch [180]	Speed: 156.26 samples/sec	CrossEntropy=0.748473	SmoothL1=0.337723
Epoch[128] Batch [200]	Speed: 158.05 samples/sec	CrossEntropy=0.748029	SmoothL1=0.332543
Epoch[128] Batch [220]	Speed: 153.30 samples/sec	CrossEntropy=0.748147	SmoothL1=0.345396
Epoch[128] Batch [240]	Speed: 157.13 samples/sec	CrossEntropy=0.761840	SmoothL1=0.347255
Epoch[128] Batch [260]	Speed: 159.68 samples/sec	CrossEntropy=0.769488	SmoothL1=0.358321
Epoch[128] Batch [280]	Speed: 155.78 samples/sec	CrossEntropy=0.756572	SmoothL1=0.361755
Epoch[128] Batch [300]	Speed: 159.44 samples/sec	CrossEntropy=0.774508	SmoothL1=0.367428
Epoch[128] Batch [320]	Speed: 156.23 samples/sec	CrossEntropy=0.756347	SmoothL1=0.333657
Epoch[128] Batch [340]	Speed: 163.94 samples/sec	CrossEntropy=0.772039	SmoothL1=0.345940
Epoch[128] Train-CrossEntropy=0.790429
Epoch[128] Train-SmoothL1=0.349719
Epoch[128] Time cost=105.013
Epoch[128] Validation-aeroplane=0.466857
Epoch[128] Validation-bicycle=0.498132
Epoch[128] Validation-bird=0.228282
Epoch[128] Validation-boat=0.238720
Epoch[128] Validation-bottle=0.098626
Epoch[128] Validation-bus=0.535071
Epoch[128] Validation-car=0.560398
Epoch[128] Validation-cat=0.481478
Epoch[128] Validation-chair=0.227546
Epoch[128] Validation-cow=0.245881
Epoch[128] Validation-diningtable=0.450297
Epoch[128] Validation-dog=0.402445
Epoch[128] Validation-horse=0.581791
Epoch[128] Validation-motorbike=0.550482
Epoch[128] Validation-person=0.526061
Epoch[128] Validation-pottedplant=0.147315
Epoch[128] Validation-sheep=0.367038
Epoch[128] Validation-sofa=0.360552
Epoch[128] Validation-train=0.592203
Epoch[128] Validation-tvmonitor=0.388171
Epoch[128] Validation-mAP=0.397367
Epoch[129] Batch [20]	Speed: 147.29 samples/sec	CrossEntropy=0.744031	SmoothL1=0.354894
Epoch[129] Batch [40]	Speed: 157.08 samples/sec	CrossEntropy=0.763501	SmoothL1=0.357276
Epoch[129] Batch [60]	Speed: 157.49 samples/sec	CrossEntropy=0.766299	SmoothL1=0.349486
Epoch[129] Batch [80]	Speed: 156.13 samples/sec	CrossEntropy=0.754124	SmoothL1=0.352960
Epoch[129] Batch [100]	Speed: 157.44 samples/sec	CrossEntropy=0.752891	SmoothL1=0.343772
Epoch[129] Batch [120]	Speed: 159.26 samples/sec	CrossEntropy=0.766296	SmoothL1=0.365510
Epoch[129] Batch [140]	Speed: 158.77 samples/sec	CrossEntropy=0.758342	SmoothL1=0.342957
Epoch[129] Batch [160]	Speed: 155.51 samples/sec	CrossEntropy=0.769102	SmoothL1=0.356577
Epoch[129] Batch [180]	Speed: 159.58 samples/sec	CrossEntropy=0.747637	SmoothL1=0.352240
Epoch[129] Batch [200]	Speed: 158.19 samples/sec	CrossEntropy=0.749094	SmoothL1=0.334406
Epoch[129] Batch [220]	Speed: 155.31 samples/sec	CrossEntropy=0.761885	SmoothL1=0.346882
Epoch[129] Batch [240]	Speed: 156.97 samples/sec	CrossEntropy=0.773723	SmoothL1=0.339546
Epoch[129] Batch [260]	Speed: 156.81 samples/sec	CrossEntropy=0.750793	SmoothL1=0.349637
Epoch[129] Batch [280]	Speed: 156.12 samples/sec	CrossEntropy=0.771576	SmoothL1=0.365234
Epoch[129] Batch [300]	Speed: 160.69 samples/sec	CrossEntropy=0.757768	SmoothL1=0.345529
Epoch[129] Batch [320]	Speed: 158.20 samples/sec	CrossEntropy=0.749853	SmoothL1=0.344907
Epoch[129] Batch [340]	Speed: 164.26 samples/sec	CrossEntropy=0.777729	SmoothL1=0.350696
Epoch[129] Train-CrossEntropy=0.767610
Epoch[129] Train-SmoothL1=0.333707
Epoch[129] Time cost=105.062
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0130.params"
Epoch[129] Validation-aeroplane=0.473187
Epoch[129] Validation-bicycle=0.483198
Epoch[129] Validation-bird=0.213647
Epoch[129] Validation-boat=0.234385
Epoch[129] Validation-bottle=0.098064
Epoch[129] Validation-bus=0.521480
Epoch[129] Validation-car=0.556106
Epoch[129] Validation-cat=0.478095
Epoch[129] Validation-chair=0.227914
Epoch[129] Validation-cow=0.254306
Epoch[129] Validation-diningtable=0.462051
Epoch[129] Validation-dog=0.397187
Epoch[129] Validation-horse=0.577145
Epoch[129] Validation-motorbike=0.549851
Epoch[129] Validation-person=0.521923
Epoch[129] Validation-pottedplant=0.146667
Epoch[129] Validation-sheep=0.359439
Epoch[129] Validation-sofa=0.362276
Epoch[129] Validation-train=0.577753
Epoch[129] Validation-tvmonitor=0.399379
Epoch[129] Validation-mAP=0.394703
Epoch[130] Batch [20]	Speed: 148.78 samples/sec	CrossEntropy=0.761925	SmoothL1=0.355828
Epoch[130] Batch [40]	Speed: 158.74 samples/sec	CrossEntropy=0.764329	SmoothL1=0.355056
Epoch[130] Batch [60]	Speed: 158.46 samples/sec	CrossEntropy=0.766087	SmoothL1=0.360054
Epoch[130] Batch [80]	Speed: 155.18 samples/sec	CrossEntropy=0.763434	SmoothL1=0.349065
Epoch[130] Batch [100]	Speed: 151.32 samples/sec	CrossEntropy=0.767256	SmoothL1=0.343109
Epoch[130] Batch [120]	Speed: 156.92 samples/sec	CrossEntropy=0.761307	SmoothL1=0.361691
Epoch[130] Batch [140]	Speed: 158.48 samples/sec	CrossEntropy=0.761971	SmoothL1=0.356145
Epoch[130] Batch [160]	Speed: 158.89 samples/sec	CrossEntropy=0.789281	SmoothL1=0.347998
Epoch[130] Batch [180]	Speed: 157.73 samples/sec	CrossEntropy=0.748858	SmoothL1=0.347718
Epoch[130] Batch [200]	Speed: 159.91 samples/sec	CrossEntropy=0.751660	SmoothL1=0.350253
Epoch[130] Batch [220]	Speed: 155.05 samples/sec	CrossEntropy=0.751970	SmoothL1=0.346289
Epoch[130] Batch [240]	Speed: 157.47 samples/sec	CrossEntropy=0.766650	SmoothL1=0.351775
Epoch[130] Batch [260]	Speed: 158.07 samples/sec	CrossEntropy=0.771019	SmoothL1=0.375032
Epoch[130] Batch [280]	Speed: 155.61 samples/sec	CrossEntropy=0.758229	SmoothL1=0.360858
Epoch[130] Batch [300]	Speed: 158.31 samples/sec	CrossEntropy=0.766710	SmoothL1=0.349627
Epoch[130] Batch [320]	Speed: 159.23 samples/sec	CrossEntropy=0.757658	SmoothL1=0.342214
Epoch[130] Batch [340]	Speed: 163.83 samples/sec	CrossEntropy=0.768162	SmoothL1=0.350033
Epoch[130] Train-CrossEntropy=0.783069
Epoch[130] Train-SmoothL1=0.314419
Epoch[130] Time cost=105.171
Epoch[130] Validation-aeroplane=0.475258
Epoch[130] Validation-bicycle=0.495791
Epoch[130] Validation-bird=0.220660
Epoch[130] Validation-boat=0.236330
Epoch[130] Validation-bottle=0.097923
Epoch[130] Validation-bus=0.530542
Epoch[130] Validation-car=0.552946
Epoch[130] Validation-cat=0.495635
Epoch[130] Validation-chair=0.229126
Epoch[130] Validation-cow=0.250100
Epoch[130] Validation-diningtable=0.456960
Epoch[130] Validation-dog=0.402684
Epoch[130] Validation-horse=0.578508
Epoch[130] Validation-motorbike=0.528036
Epoch[130] Validation-person=0.518638
Epoch[130] Validation-pottedplant=0.142763
Epoch[130] Validation-sheep=0.367739
Epoch[130] Validation-sofa=0.377654
Epoch[130] Validation-train=0.584495
Epoch[130] Validation-tvmonitor=0.377184
Epoch[130] Validation-mAP=0.395949
Epoch[131] Batch [20]	Speed: 147.65 samples/sec	CrossEntropy=0.753259	SmoothL1=0.358961
Epoch[131] Batch [40]	Speed: 155.38 samples/sec	CrossEntropy=0.760970	SmoothL1=0.354811
Epoch[131] Batch [60]	Speed: 154.09 samples/sec	CrossEntropy=0.761845	SmoothL1=0.342647
Epoch[131] Batch [80]	Speed: 153.64 samples/sec	CrossEntropy=0.775093	SmoothL1=0.348797
Epoch[131] Batch [100]	Speed: 161.01 samples/sec	CrossEntropy=0.765125	SmoothL1=0.345789
Epoch[131] Batch [120]	Speed: 158.47 samples/sec	CrossEntropy=0.760657	SmoothL1=0.358114
Epoch[131] Batch [140]	Speed: 154.33 samples/sec	CrossEntropy=0.754879	SmoothL1=0.349367
Epoch[131] Batch [160]	Speed: 156.92 samples/sec	CrossEntropy=0.767759	SmoothL1=0.350207
Epoch[131] Batch [180]	Speed: 161.15 samples/sec	CrossEntropy=0.751223	SmoothL1=0.349547
Epoch[131] Batch [200]	Speed: 156.05 samples/sec	CrossEntropy=0.755242	SmoothL1=0.335211
Epoch[131] Batch [220]	Speed: 155.42 samples/sec	CrossEntropy=0.762798	SmoothL1=0.337543
Epoch[131] Batch [240]	Speed: 162.06 samples/sec	CrossEntropy=0.768221	SmoothL1=0.350441
Epoch[131] Batch [260]	Speed: 159.73 samples/sec	CrossEntropy=0.762905	SmoothL1=0.344384
Epoch[131] Batch [280]	Speed: 157.08 samples/sec	CrossEntropy=0.764911	SmoothL1=0.366894
Epoch[131] Batch [300]	Speed: 155.99 samples/sec	CrossEntropy=0.777246	SmoothL1=0.361038
Epoch[131] Batch [320]	Speed: 158.81 samples/sec	CrossEntropy=0.749137	SmoothL1=0.339273
Epoch[131] Batch [340]	Speed: 160.89 samples/sec	CrossEntropy=0.775121	SmoothL1=0.343215
Epoch[131] Train-CrossEntropy=0.764716
Epoch[131] Train-SmoothL1=0.378439
Epoch[131] Time cost=105.074
Epoch[131] Validation-aeroplane=0.473758
Epoch[131] Validation-bicycle=0.510183
Epoch[131] Validation-bird=0.219383
Epoch[131] Validation-boat=0.242369
Epoch[131] Validation-bottle=0.097322
Epoch[131] Validation-bus=0.525003
Epoch[131] Validation-car=0.556505
Epoch[131] Validation-cat=0.491604
Epoch[131] Validation-chair=0.219259
Epoch[131] Validation-cow=0.243338
Epoch[131] Validation-diningtable=0.465906
Epoch[131] Validation-dog=0.409895
Epoch[131] Validation-horse=0.583824
Epoch[131] Validation-motorbike=0.571487
Epoch[131] Validation-person=0.526834
Epoch[131] Validation-pottedplant=0.140227
Epoch[131] Validation-sheep=0.370898
Epoch[131] Validation-sofa=0.352276
Epoch[131] Validation-train=0.593544
Epoch[131] Validation-tvmonitor=0.395670
Epoch[131] Validation-mAP=0.399464
Epoch[132] Batch [20]	Speed: 157.80 samples/sec	CrossEntropy=0.768426	SmoothL1=0.355144
Epoch[132] Batch [40]	Speed: 158.80 samples/sec	CrossEntropy=0.760404	SmoothL1=0.353649
Epoch[132] Batch [60]	Speed: 154.73 samples/sec	CrossEntropy=0.763758	SmoothL1=0.337072
Epoch[132] Batch [80]	Speed: 158.98 samples/sec	CrossEntropy=0.759455	SmoothL1=0.353633
Epoch[132] Batch [100]	Speed: 158.71 samples/sec	CrossEntropy=0.762079	SmoothL1=0.338093
Epoch[132] Batch [120]	Speed: 157.08 samples/sec	CrossEntropy=0.754186	SmoothL1=0.360159
Epoch[132] Batch [140]	Speed: 155.66 samples/sec	CrossEntropy=0.753047	SmoothL1=0.355392
Epoch[132] Batch [160]	Speed: 156.92 samples/sec	CrossEntropy=0.766533	SmoothL1=0.348153
Epoch[132] Batch [180]	Speed: 154.90 samples/sec	CrossEntropy=0.745778	SmoothL1=0.341554
Epoch[132] Batch [200]	Speed: 158.91 samples/sec	CrossEntropy=0.749114	SmoothL1=0.330350
Epoch[132] Batch [220]	Speed: 159.83 samples/sec	CrossEntropy=0.768697	SmoothL1=0.343308
Epoch[132] Batch [240]	Speed: 157.56 samples/sec	CrossEntropy=0.757952	SmoothL1=0.353335
Epoch[132] Batch [260]	Speed: 156.59 samples/sec	CrossEntropy=0.756986	SmoothL1=0.353067
Epoch[132] Batch [280]	Speed: 156.54 samples/sec	CrossEntropy=0.767811	SmoothL1=0.362108
Epoch[132] Batch [300]	Speed: 156.23 samples/sec	CrossEntropy=0.764335	SmoothL1=0.363549
Epoch[132] Batch [320]	Speed: 158.17 samples/sec	CrossEntropy=0.750665	SmoothL1=0.335443
Epoch[132] Batch [340]	Speed: 162.18 samples/sec	CrossEntropy=0.755155	SmoothL1=0.345515
Epoch[132] Train-CrossEntropy=0.761405
Epoch[132] Train-SmoothL1=0.358125
Epoch[132] Time cost=104.857
Epoch[132] Validation-aeroplane=0.476220
Epoch[132] Validation-bicycle=0.486507
Epoch[132] Validation-bird=0.229675
Epoch[132] Validation-boat=0.238982
Epoch[132] Validation-bottle=0.098171
Epoch[132] Validation-bus=0.531453
Epoch[132] Validation-car=0.557038
Epoch[132] Validation-cat=0.490515
Epoch[132] Validation-chair=0.222745
Epoch[132] Validation-cow=0.256768
Epoch[132] Validation-diningtable=0.466686
Epoch[132] Validation-dog=0.410403
Epoch[132] Validation-horse=0.582163
Epoch[132] Validation-motorbike=0.548454
Epoch[132] Validation-person=0.528804
Epoch[132] Validation-pottedplant=0.146470
Epoch[132] Validation-sheep=0.369599
Epoch[132] Validation-sofa=0.351822
Epoch[132] Validation-train=0.602660
Epoch[132] Validation-tvmonitor=0.404819
Epoch[132] Validation-mAP=0.399998
Epoch[133] Batch [20]	Speed: 148.18 samples/sec	CrossEntropy=0.753207	SmoothL1=0.354738
Epoch[133] Batch [40]	Speed: 159.26 samples/sec	CrossEntropy=0.761290	SmoothL1=0.353389
Epoch[133] Batch [60]	Speed: 156.56 samples/sec	CrossEntropy=0.759326	SmoothL1=0.334556
Epoch[133] Batch [80]	Speed: 157.14 samples/sec	CrossEntropy=0.758001	SmoothL1=0.353895
Epoch[133] Batch [100]	Speed: 159.59 samples/sec	CrossEntropy=0.780104	SmoothL1=0.343737
Epoch[133] Batch [120]	Speed: 154.86 samples/sec	CrossEntropy=0.755066	SmoothL1=0.356782
Epoch[133] Batch [140]	Speed: 158.12 samples/sec	CrossEntropy=0.745590	SmoothL1=0.336984
Epoch[133] Batch [160]	Speed: 153.63 samples/sec	CrossEntropy=0.774205	SmoothL1=0.344884
Epoch[133] Batch [180]	Speed: 152.90 samples/sec	CrossEntropy=0.746493	SmoothL1=0.352400
Epoch[133] Batch [200]	Speed: 154.53 samples/sec	CrossEntropy=0.753825	SmoothL1=0.333364
Epoch[133] Batch [220]	Speed: 158.09 samples/sec	CrossEntropy=0.760216	SmoothL1=0.340573
Epoch[133] Batch [240]	Speed: 159.75 samples/sec	CrossEntropy=0.756370	SmoothL1=0.347072
Epoch[133] Batch [260]	Speed: 155.64 samples/sec	CrossEntropy=0.751131	SmoothL1=0.345482
Epoch[133] Batch [280]	Speed: 157.55 samples/sec	CrossEntropy=0.760850	SmoothL1=0.363305
Epoch[133] Batch [300]	Speed: 155.64 samples/sec	CrossEntropy=0.778135	SmoothL1=0.355155
Epoch[133] Batch [320]	Speed: 160.98 samples/sec	CrossEntropy=0.748919	SmoothL1=0.332209
Epoch[133] Batch [340]	Speed: 162.64 samples/sec	CrossEntropy=0.764304	SmoothL1=0.343248
Epoch[133] Train-CrossEntropy=0.781130
Epoch[133] Train-SmoothL1=0.341857
Epoch[133] Time cost=105.497
Epoch[133] Validation-aeroplane=0.481355
Epoch[133] Validation-bicycle=0.496596
Epoch[133] Validation-bird=0.226191
Epoch[133] Validation-boat=0.251351
Epoch[133] Validation-bottle=0.097647
Epoch[133] Validation-bus=0.528837
Epoch[133] Validation-car=0.559907
Epoch[133] Validation-cat=0.495138
Epoch[133] Validation-chair=0.228507
Epoch[133] Validation-cow=0.258128
Epoch[133] Validation-diningtable=0.453306
Epoch[133] Validation-dog=0.413452
Epoch[133] Validation-horse=0.578455
Epoch[133] Validation-motorbike=0.564422
Epoch[133] Validation-person=0.527208
Epoch[133] Validation-pottedplant=0.144943
Epoch[133] Validation-sheep=0.360447
Epoch[133] Validation-sofa=0.351428
Epoch[133] Validation-train=0.594204
Epoch[133] Validation-tvmonitor=0.400439
Epoch[133] Validation-mAP=0.400598
Epoch[134] Batch [20]	Speed: 150.97 samples/sec	CrossEntropy=0.761498	SmoothL1=0.348658
Epoch[134] Batch [40]	Speed: 160.31 samples/sec	CrossEntropy=0.757262	SmoothL1=0.347707
Epoch[134] Batch [60]	Speed: 155.87 samples/sec	CrossEntropy=0.766592	SmoothL1=0.343847
Epoch[134] Batch [80]	Speed: 158.39 samples/sec	CrossEntropy=0.766270	SmoothL1=0.354819
Epoch[134] Batch [100]	Speed: 156.39 samples/sec	CrossEntropy=0.755911	SmoothL1=0.334525
Epoch[134] Batch [120]	Speed: 156.62 samples/sec	CrossEntropy=0.757027	SmoothL1=0.352086
Epoch[134] Batch [140]	Speed: 158.55 samples/sec	CrossEntropy=0.757274	SmoothL1=0.356626
Epoch[134] Batch [160]	Speed: 160.82 samples/sec	CrossEntropy=0.758053	SmoothL1=0.334880
Epoch[134] Batch [180]	Speed: 156.52 samples/sec	CrossEntropy=0.747772	SmoothL1=0.352580
Epoch[134] Batch [200]	Speed: 155.39 samples/sec	CrossEntropy=0.739257	SmoothL1=0.324249
Epoch[134] Batch [220]	Speed: 160.15 samples/sec	CrossEntropy=0.748544	SmoothL1=0.339708
Epoch[134] Batch [240]	Speed: 151.76 samples/sec	CrossEntropy=0.758207	SmoothL1=0.347742
Epoch[134] Batch [260]	Speed: 158.75 samples/sec	CrossEntropy=0.756846	SmoothL1=0.359138
Epoch[134] Batch [280]	Speed: 158.39 samples/sec	CrossEntropy=0.771104	SmoothL1=0.365128
Epoch[134] Batch [300]	Speed: 159.64 samples/sec	CrossEntropy=0.766686	SmoothL1=0.375900
Epoch[134] Batch [320]	Speed: 158.95 samples/sec	CrossEntropy=0.757292	SmoothL1=0.334770
Epoch[134] Batch [340]	Speed: 162.68 samples/sec	CrossEntropy=0.777496	SmoothL1=0.335093
Epoch[134] Train-CrossEntropy=0.763321
Epoch[134] Train-SmoothL1=0.345891
Epoch[134] Time cost=104.873
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0135.params"
Epoch[134] Validation-aeroplane=0.476344
Epoch[134] Validation-bicycle=0.494941
Epoch[134] Validation-bird=0.226197
Epoch[134] Validation-boat=0.246971
Epoch[134] Validation-bottle=0.098939
Epoch[134] Validation-bus=0.543542
Epoch[134] Validation-car=0.560050
Epoch[134] Validation-cat=0.476269
Epoch[134] Validation-chair=0.218826
Epoch[134] Validation-cow=0.258707
Epoch[134] Validation-diningtable=0.444192
Epoch[134] Validation-dog=0.411557
Epoch[134] Validation-horse=0.586152
Epoch[134] Validation-motorbike=0.564682
Epoch[134] Validation-person=0.521689
Epoch[134] Validation-pottedplant=0.148227
Epoch[134] Validation-sheep=0.357272
Epoch[134] Validation-sofa=0.374417
Epoch[134] Validation-train=0.596359
Epoch[134] Validation-tvmonitor=0.401776
Epoch[134] Validation-mAP=0.400356
Epoch[135] Batch [20]	Speed: 146.15 samples/sec	CrossEntropy=0.760208	SmoothL1=0.351783
Epoch[135] Batch [40]	Speed: 157.81 samples/sec	CrossEntropy=0.753659	SmoothL1=0.357889
Epoch[135] Batch [60]	Speed: 155.45 samples/sec	CrossEntropy=0.761232	SmoothL1=0.346719
Epoch[135] Batch [80]	Speed: 157.75 samples/sec	CrossEntropy=0.775665	SmoothL1=0.349826
Epoch[135] Batch [100]	Speed: 160.11 samples/sec	CrossEntropy=0.755913	SmoothL1=0.334546
Epoch[135] Batch [120]	Speed: 159.97 samples/sec	CrossEntropy=0.745204	SmoothL1=0.343021
Epoch[135] Batch [140]	Speed: 159.54 samples/sec	CrossEntropy=0.752981	SmoothL1=0.344126
Epoch[135] Batch [160]	Speed: 159.87 samples/sec	CrossEntropy=0.765042	SmoothL1=0.350395
Epoch[135] Batch [180]	Speed: 156.77 samples/sec	CrossEntropy=0.739619	SmoothL1=0.340283
Epoch[135] Batch [200]	Speed: 159.37 samples/sec	CrossEntropy=0.752613	SmoothL1=0.345532
Epoch[135] Batch [220]	Speed: 156.62 samples/sec	CrossEntropy=0.750690	SmoothL1=0.349278
Epoch[135] Batch [240]	Speed: 156.31 samples/sec	CrossEntropy=0.768037	SmoothL1=0.353869
Epoch[135] Batch [260]	Speed: 155.01 samples/sec	CrossEntropy=0.756202	SmoothL1=0.351378
Epoch[135] Batch [280]	Speed: 156.46 samples/sec	CrossEntropy=0.761092	SmoothL1=0.353768
Epoch[135] Batch [300]	Speed: 154.31 samples/sec	CrossEntropy=0.761910	SmoothL1=0.343004
Epoch[135] Batch [320]	Speed: 158.43 samples/sec	CrossEntropy=0.758997	SmoothL1=0.339205
Epoch[135] Batch [340]	Speed: 161.75 samples/sec	CrossEntropy=0.745044	SmoothL1=0.340712
Epoch[135] Train-CrossEntropy=0.800582
Epoch[135] Train-SmoothL1=0.342425
Epoch[135] Time cost=105.231
Epoch[135] Validation-aeroplane=0.479631
Epoch[135] Validation-bicycle=0.501148
Epoch[135] Validation-bird=0.223082
Epoch[135] Validation-boat=0.221474
Epoch[135] Validation-bottle=0.098288
Epoch[135] Validation-bus=0.534818
Epoch[135] Validation-car=0.558640
Epoch[135] Validation-cat=0.483202
Epoch[135] Validation-chair=0.217702
Epoch[135] Validation-cow=0.248928
Epoch[135] Validation-diningtable=0.460075
Epoch[135] Validation-dog=0.415704
Epoch[135] Validation-horse=0.580781
Epoch[135] Validation-motorbike=0.554537
Epoch[135] Validation-person=0.527037
Epoch[135] Validation-pottedplant=0.147978
Epoch[135] Validation-sheep=0.354323
Epoch[135] Validation-sofa=0.369753
Epoch[135] Validation-train=0.591157
Epoch[135] Validation-tvmonitor=0.405916
Epoch[135] Validation-mAP=0.398709
Epoch[136] Batch [20]	Speed: 148.29 samples/sec	CrossEntropy=0.766073	SmoothL1=0.338593
Epoch[136] Batch [40]	Speed: 157.12 samples/sec	CrossEntropy=0.753454	SmoothL1=0.351717
Epoch[136] Batch [60]	Speed: 161.50 samples/sec	CrossEntropy=0.762582	SmoothL1=0.358560
Epoch[136] Batch [80]	Speed: 157.07 samples/sec	CrossEntropy=0.762070	SmoothL1=0.353726
Epoch[136] Batch [100]	Speed: 157.19 samples/sec	CrossEntropy=0.758165	SmoothL1=0.341397
Epoch[136] Batch [120]	Speed: 156.16 samples/sec	CrossEntropy=0.752795	SmoothL1=0.364010
Epoch[136] Batch [140]	Speed: 158.32 samples/sec	CrossEntropy=0.752281	SmoothL1=0.348647
Epoch[136] Batch [160]	Speed: 161.36 samples/sec	CrossEntropy=0.766386	SmoothL1=0.353119
Epoch[136] Batch [180]	Speed: 158.59 samples/sec	CrossEntropy=0.756606	SmoothL1=0.343154
Epoch[136] Batch [200]	Speed: 160.01 samples/sec	CrossEntropy=0.746006	SmoothL1=0.338727
Epoch[136] Batch [220]	Speed: 157.98 samples/sec	CrossEntropy=0.747299	SmoothL1=0.340243
Epoch[136] Batch [240]	Speed: 157.66 samples/sec	CrossEntropy=0.764080	SmoothL1=0.350715
Epoch[136] Batch [260]	Speed: 154.78 samples/sec	CrossEntropy=0.747779	SmoothL1=0.347574
Epoch[136] Batch [280]	Speed: 158.85 samples/sec	CrossEntropy=0.763263	SmoothL1=0.352758
Epoch[136] Batch [300]	Speed: 152.51 samples/sec	CrossEntropy=0.768406	SmoothL1=0.343529
Epoch[136] Batch [320]	Speed: 156.91 samples/sec	CrossEntropy=0.760743	SmoothL1=0.330648
Epoch[136] Batch [340]	Speed: 163.99 samples/sec	CrossEntropy=0.751927	SmoothL1=0.336331
Epoch[136] Train-CrossEntropy=0.772641
Epoch[136] Train-SmoothL1=0.328657
Epoch[136] Time cost=104.689
Epoch[136] Validation-aeroplane=0.475247
Epoch[136] Validation-bicycle=0.490871
Epoch[136] Validation-bird=0.223785
Epoch[136] Validation-boat=0.250436
Epoch[136] Validation-bottle=0.097150
Epoch[136] Validation-bus=0.533731
Epoch[136] Validation-car=0.560437
Epoch[136] Validation-cat=0.498967
Epoch[136] Validation-chair=0.231353
Epoch[136] Validation-cow=0.256150
Epoch[136] Validation-diningtable=0.455105
Epoch[136] Validation-dog=0.416151
Epoch[136] Validation-horse=0.563849
Epoch[136] Validation-motorbike=0.562662
Epoch[136] Validation-person=0.525896
Epoch[136] Validation-pottedplant=0.148684
Epoch[136] Validation-sheep=0.362514
Epoch[136] Validation-sofa=0.357481
Epoch[136] Validation-train=0.577426
Epoch[136] Validation-tvmonitor=0.403852
Epoch[136] Validation-mAP=0.399587
Epoch[137] Batch [20]	Speed: 151.08 samples/sec	CrossEntropy=0.748973	SmoothL1=0.349962
Epoch[137] Batch [40]	Speed: 157.42 samples/sec	CrossEntropy=0.758237	SmoothL1=0.349417
Epoch[137] Batch [60]	Speed: 157.50 samples/sec	CrossEntropy=0.762534	SmoothL1=0.352248
Epoch[137] Batch [80]	Speed: 160.60 samples/sec	CrossEntropy=0.768683	SmoothL1=0.350819
Epoch[137] Batch [100]	Speed: 158.56 samples/sec	CrossEntropy=0.755844	SmoothL1=0.349992
Epoch[137] Batch [120]	Speed: 153.49 samples/sec	CrossEntropy=0.753456	SmoothL1=0.352531
Epoch[137] Batch [140]	Speed: 157.53 samples/sec	CrossEntropy=0.747223	SmoothL1=0.347687
Epoch[137] Batch [160]	Speed: 158.22 samples/sec	CrossEntropy=0.752831	SmoothL1=0.343903
Epoch[137] Batch [180]	Speed: 158.54 samples/sec	CrossEntropy=0.737239	SmoothL1=0.340336
Epoch[137] Batch [200]	Speed: 158.95 samples/sec	CrossEntropy=0.752056	SmoothL1=0.324947
Epoch[137] Batch [220]	Speed: 159.36 samples/sec	CrossEntropy=0.746985	SmoothL1=0.334426
Epoch[137] Batch [240]	Speed: 160.98 samples/sec	CrossEntropy=0.760769	SmoothL1=0.349076
Epoch[137] Batch [260]	Speed: 157.61 samples/sec	CrossEntropy=0.764847	SmoothL1=0.354319
Epoch[137] Batch [280]	Speed: 159.75 samples/sec	CrossEntropy=0.760811	SmoothL1=0.350002
Epoch[137] Batch [300]	Speed: 156.15 samples/sec	CrossEntropy=0.756127	SmoothL1=0.342309
Epoch[137] Batch [320]	Speed: 158.26 samples/sec	CrossEntropy=0.740713	SmoothL1=0.337424
Epoch[137] Batch [340]	Speed: 160.42 samples/sec	CrossEntropy=0.757547	SmoothL1=0.348162
Epoch[137] Train-CrossEntropy=0.747284
Epoch[137] Train-SmoothL1=0.363937
Epoch[137] Time cost=104.714
Epoch[137] Validation-aeroplane=0.476474
Epoch[137] Validation-bicycle=0.488904
Epoch[137] Validation-bird=0.220849
Epoch[137] Validation-boat=0.252661
Epoch[137] Validation-bottle=0.097549
Epoch[137] Validation-bus=0.539488
Epoch[137] Validation-car=0.565364
Epoch[137] Validation-cat=0.494748
Epoch[137] Validation-chair=0.226107
Epoch[137] Validation-cow=0.260709
Epoch[137] Validation-diningtable=0.451202
Epoch[137] Validation-dog=0.412262
Epoch[137] Validation-horse=0.584116
Epoch[137] Validation-motorbike=0.551234
Epoch[137] Validation-person=0.524038
Epoch[137] Validation-pottedplant=0.150897
Epoch[137] Validation-sheep=0.358767
Epoch[137] Validation-sofa=0.373448
Epoch[137] Validation-train=0.590197
Epoch[137] Validation-tvmonitor=0.404393
Epoch[137] Validation-mAP=0.401170
Epoch[138] Batch [20]	Speed: 147.07 samples/sec	CrossEntropy=0.754252	SmoothL1=0.340353
Epoch[138] Batch [40]	Speed: 156.40 samples/sec	CrossEntropy=0.733917	SmoothL1=0.348255
Epoch[138] Batch [60]	Speed: 158.32 samples/sec	CrossEntropy=0.756147	SmoothL1=0.352395
Epoch[138] Batch [80]	Speed: 159.04 samples/sec	CrossEntropy=0.753822	SmoothL1=0.347666
Epoch[138] Batch [100]	Speed: 157.79 samples/sec	CrossEntropy=0.758032	SmoothL1=0.340598
Epoch[138] Batch [120]	Speed: 156.44 samples/sec	CrossEntropy=0.754942	SmoothL1=0.358526
Epoch[138] Batch [140]	Speed: 159.51 samples/sec	CrossEntropy=0.744214	SmoothL1=0.354630
Epoch[138] Batch [160]	Speed: 152.86 samples/sec	CrossEntropy=0.747132	SmoothL1=0.344141
Epoch[138] Batch [180]	Speed: 158.08 samples/sec	CrossEntropy=0.748527	SmoothL1=0.351711
Epoch[138] Batch [200]	Speed: 156.58 samples/sec	CrossEntropy=0.742041	SmoothL1=0.327488
Epoch[138] Batch [220]	Speed: 158.97 samples/sec	CrossEntropy=0.758957	SmoothL1=0.345350
Epoch[138] Batch [240]	Speed: 158.77 samples/sec	CrossEntropy=0.766950	SmoothL1=0.355630
Epoch[138] Batch [260]	Speed: 154.93 samples/sec	CrossEntropy=0.769739	SmoothL1=0.361424
Epoch[138] Batch [280]	Speed: 158.95 samples/sec	CrossEntropy=0.757341	SmoothL1=0.361252
Epoch[138] Batch [300]	Speed: 156.77 samples/sec	CrossEntropy=0.756700	SmoothL1=0.353103
Epoch[138] Batch [320]	Speed: 161.49 samples/sec	CrossEntropy=0.751949	SmoothL1=0.324123
Epoch[138] Batch [340]	Speed: 161.18 samples/sec	CrossEntropy=0.771375	SmoothL1=0.342471
Epoch[138] Train-CrossEntropy=0.733407
Epoch[138] Train-SmoothL1=0.325379
Epoch[138] Time cost=105.140
Epoch[138] Validation-aeroplane=0.481191
Epoch[138] Validation-bicycle=0.498625
Epoch[138] Validation-bird=0.227746
Epoch[138] Validation-boat=0.248615
Epoch[138] Validation-bottle=0.098425
Epoch[138] Validation-bus=0.525392
Epoch[138] Validation-car=0.560437
Epoch[138] Validation-cat=0.487427
Epoch[138] Validation-chair=0.232395
Epoch[138] Validation-cow=0.267426
Epoch[138] Validation-diningtable=0.472423
Epoch[138] Validation-dog=0.418773
Epoch[138] Validation-horse=0.603005
Epoch[138] Validation-motorbike=0.556306
Epoch[138] Validation-person=0.527977
Epoch[138] Validation-pottedplant=0.145458
Epoch[138] Validation-sheep=0.362191
Epoch[138] Validation-sofa=0.355472
Epoch[138] Validation-train=0.591484
Epoch[138] Validation-tvmonitor=0.400293
Epoch[138] Validation-mAP=0.403053
Epoch[139] Batch [20]	Speed: 149.08 samples/sec	CrossEntropy=0.754335	SmoothL1=0.346084
Epoch[139] Batch [40]	Speed: 156.15 samples/sec	CrossEntropy=0.755488	SmoothL1=0.351744
Epoch[139] Batch [60]	Speed: 155.30 samples/sec	CrossEntropy=0.759872	SmoothL1=0.342597
Epoch[139] Batch [80]	Speed: 158.02 samples/sec	CrossEntropy=0.755920	SmoothL1=0.347388
Epoch[139] Batch [100]	Speed: 155.02 samples/sec	CrossEntropy=0.758349	SmoothL1=0.330710
Epoch[139] Batch [120]	Speed: 155.31 samples/sec	CrossEntropy=0.747008	SmoothL1=0.343916
Epoch[139] Batch [140]	Speed: 156.66 samples/sec	CrossEntropy=0.746156	SmoothL1=0.351489
Epoch[139] Batch [160]	Speed: 156.62 samples/sec	CrossEntropy=0.750428	SmoothL1=0.344771
Epoch[139] Batch [180]	Speed: 157.77 samples/sec	CrossEntropy=0.762239	SmoothL1=0.345601
Epoch[139] Batch [200]	Speed: 156.57 samples/sec	CrossEntropy=0.748898	SmoothL1=0.341769
Epoch[139] Batch [220]	Speed: 159.80 samples/sec	CrossEntropy=0.746797	SmoothL1=0.338414
Epoch[139] Batch [240]	Speed: 157.78 samples/sec	CrossEntropy=0.746371	SmoothL1=0.345235
Epoch[139] Batch [260]	Speed: 162.22 samples/sec	CrossEntropy=0.750766	SmoothL1=0.355699
Epoch[139] Batch [280]	Speed: 157.85 samples/sec	CrossEntropy=0.763973	SmoothL1=0.360213
Epoch[139] Batch [300]	Speed: 159.47 samples/sec	CrossEntropy=0.753919	SmoothL1=0.347887
Epoch[139] Batch [320]	Speed: 159.79 samples/sec	CrossEntropy=0.744322	SmoothL1=0.345539
Epoch[139] Batch [340]	Speed: 163.06 samples/sec	CrossEntropy=0.758230	SmoothL1=0.359738
Epoch[139] Train-CrossEntropy=0.774453
Epoch[139] Train-SmoothL1=0.331051
Epoch[139] Time cost=105.044
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0140.params"
Epoch[139] Validation-aeroplane=0.483347
Epoch[139] Validation-bicycle=0.503870
Epoch[139] Validation-bird=0.229610
Epoch[139] Validation-boat=0.249782
Epoch[139] Validation-bottle=0.099311
Epoch[139] Validation-bus=0.527491
Epoch[139] Validation-car=0.557588
Epoch[139] Validation-cat=0.479876
Epoch[139] Validation-chair=0.224078
Epoch[139] Validation-cow=0.263266
Epoch[139] Validation-diningtable=0.447406
Epoch[139] Validation-dog=0.415418
Epoch[139] Validation-horse=0.556343
Epoch[139] Validation-motorbike=0.560431
Epoch[139] Validation-person=0.520535
Epoch[139] Validation-pottedplant=0.145076
Epoch[139] Validation-sheep=0.363853
Epoch[139] Validation-sofa=0.361048
Epoch[139] Validation-train=0.579134
Epoch[139] Validation-tvmonitor=0.400609
Epoch[139] Validation-mAP=0.398403
Epoch[140] Batch [20]	Speed: 148.48 samples/sec	CrossEntropy=0.748835	SmoothL1=0.351098
Epoch[140] Batch [40]	Speed: 157.47 samples/sec	CrossEntropy=0.752255	SmoothL1=0.335904
Epoch[140] Batch [60]	Speed: 160.40 samples/sec	CrossEntropy=0.759051	SmoothL1=0.346401
Epoch[140] Batch [80]	Speed: 156.86 samples/sec	CrossEntropy=0.753119	SmoothL1=0.341968
Epoch[140] Batch [100]	Speed: 160.74 samples/sec	CrossEntropy=0.753916	SmoothL1=0.343258
Epoch[140] Batch [120]	Speed: 158.13 samples/sec	CrossEntropy=0.759998	SmoothL1=0.368571
Epoch[140] Batch [140]	Speed: 153.26 samples/sec	CrossEntropy=0.745324	SmoothL1=0.355102
Epoch[140] Batch [160]	Speed: 157.44 samples/sec	CrossEntropy=0.761559	SmoothL1=0.350901
Epoch[140] Batch [180]	Speed: 157.14 samples/sec	CrossEntropy=0.736780	SmoothL1=0.330335
Epoch[140] Batch [200]	Speed: 159.21 samples/sec	CrossEntropy=0.752343	SmoothL1=0.340893
Epoch[140] Batch [220]	Speed: 160.84 samples/sec	CrossEntropy=0.740818	SmoothL1=0.336350
Epoch[140] Batch [240]	Speed: 155.37 samples/sec	CrossEntropy=0.753659	SmoothL1=0.336914
Epoch[140] Batch [260]	Speed: 152.86 samples/sec	CrossEntropy=0.751168	SmoothL1=0.354138
Epoch[140] Batch [280]	Speed: 159.26 samples/sec	CrossEntropy=0.757033	SmoothL1=0.337305
Epoch[140] Batch [300]	Speed: 155.55 samples/sec	CrossEntropy=0.761085	SmoothL1=0.354431
Epoch[140] Batch [320]	Speed: 157.14 samples/sec	CrossEntropy=0.750731	SmoothL1=0.336204
Epoch[140] Batch [340]	Speed: 164.43 samples/sec	CrossEntropy=0.755897	SmoothL1=0.343534
Epoch[140] Train-CrossEntropy=0.768985
Epoch[140] Train-SmoothL1=0.340209
Epoch[140] Time cost=105.145
Epoch[140] Validation-aeroplane=0.479757
Epoch[140] Validation-bicycle=0.486611
Epoch[140] Validation-bird=0.228582
Epoch[140] Validation-boat=0.256104
Epoch[140] Validation-bottle=0.100519
Epoch[140] Validation-bus=0.536681
Epoch[140] Validation-car=0.557588
Epoch[140] Validation-cat=0.495610
Epoch[140] Validation-chair=0.223503
Epoch[140] Validation-cow=0.264703
Epoch[140] Validation-diningtable=0.464926
Epoch[140] Validation-dog=0.424089
Epoch[140] Validation-horse=0.579487
Epoch[140] Validation-motorbike=0.549452
Epoch[140] Validation-person=0.527328
Epoch[140] Validation-pottedplant=0.146725
Epoch[140] Validation-sheep=0.360286
Epoch[140] Validation-sofa=0.374912
Epoch[140] Validation-train=0.596720
Epoch[140] Validation-tvmonitor=0.402234
Epoch[140] Validation-mAP=0.402791
Epoch[141] Batch [20]	Speed: 150.75 samples/sec	CrossEntropy=0.762840	SmoothL1=0.362495
Epoch[141] Batch [40]	Speed: 156.91 samples/sec	CrossEntropy=0.747448	SmoothL1=0.346265
Epoch[141] Batch [60]	Speed: 157.34 samples/sec	CrossEntropy=0.766666	SmoothL1=0.341926
Epoch[141] Batch [80]	Speed: 159.46 samples/sec	CrossEntropy=0.750962	SmoothL1=0.356493
Epoch[141] Batch [100]	Speed: 156.55 samples/sec	CrossEntropy=0.759895	SmoothL1=0.338354
Epoch[141] Batch [120]	Speed: 157.58 samples/sec	CrossEntropy=0.746580	SmoothL1=0.351183
Epoch[141] Batch [140]	Speed: 158.02 samples/sec	CrossEntropy=0.745368	SmoothL1=0.350956
Epoch[141] Batch [160]	Speed: 159.22 samples/sec	CrossEntropy=0.767526	SmoothL1=0.341411
Epoch[141] Batch [180]	Speed: 156.11 samples/sec	CrossEntropy=0.748991	SmoothL1=0.345957
Epoch[141] Batch [200]	Speed: 154.53 samples/sec	CrossEntropy=0.745124	SmoothL1=0.332713
Epoch[141] Batch [220]	Speed: 157.63 samples/sec	CrossEntropy=0.751595	SmoothL1=0.332931
Epoch[141] Batch [240]	Speed: 155.01 samples/sec	CrossEntropy=0.757527	SmoothL1=0.347220
Epoch[141] Batch [260]	Speed: 156.07 samples/sec	CrossEntropy=0.754997	SmoothL1=0.359287
Epoch[141] Batch [280]	Speed: 157.43 samples/sec	CrossEntropy=0.748110	SmoothL1=0.348771
Epoch[141] Batch [300]	Speed: 158.12 samples/sec	CrossEntropy=0.752106	SmoothL1=0.358772
Epoch[141] Batch [320]	Speed: 158.89 samples/sec	CrossEntropy=0.734761	SmoothL1=0.327378
Epoch[141] Batch [340]	Speed: 166.22 samples/sec	CrossEntropy=0.766366	SmoothL1=0.347131
Epoch[141] Train-CrossEntropy=0.767732
Epoch[141] Train-SmoothL1=0.327368
Epoch[141] Time cost=104.742
Epoch[141] Validation-aeroplane=0.469816
Epoch[141] Validation-bicycle=0.502540
Epoch[141] Validation-bird=0.220420
Epoch[141] Validation-boat=0.241941
Epoch[141] Validation-bottle=0.098854
Epoch[141] Validation-bus=0.534209
Epoch[141] Validation-car=0.564618
Epoch[141] Validation-cat=0.482626
Epoch[141] Validation-chair=0.229647
Epoch[141] Validation-cow=0.255508
Epoch[141] Validation-diningtable=0.473808
Epoch[141] Validation-dog=0.420718
Epoch[141] Validation-horse=0.565888
Epoch[141] Validation-motorbike=0.567422
Epoch[141] Validation-person=0.531990
Epoch[141] Validation-pottedplant=0.148153
Epoch[141] Validation-sheep=0.357731
Epoch[141] Validation-sofa=0.375949
Epoch[141] Validation-train=0.588409
Epoch[141] Validation-tvmonitor=0.402074
Epoch[141] Validation-mAP=0.401616
Epoch[142] Batch [20]	Speed: 143.71 samples/sec	CrossEntropy=0.751550	SmoothL1=0.353848
Epoch[142] Batch [40]	Speed: 159.56 samples/sec	CrossEntropy=0.746225	SmoothL1=0.337688
Epoch[142] Batch [60]	Speed: 155.88 samples/sec	CrossEntropy=0.749331	SmoothL1=0.338091
Epoch[142] Batch [80]	Speed: 157.63 samples/sec	CrossEntropy=0.753715	SmoothL1=0.345258
Epoch[142] Batch [100]	Speed: 160.21 samples/sec	CrossEntropy=0.752240	SmoothL1=0.343483
Epoch[142] Batch [120]	Speed: 159.69 samples/sec	CrossEntropy=0.741732	SmoothL1=0.348352
Epoch[142] Batch [140]	Speed: 155.68 samples/sec	CrossEntropy=0.743886	SmoothL1=0.343766
Epoch[142] Batch [160]	Speed: 158.67 samples/sec	CrossEntropy=0.741909	SmoothL1=0.346982
Epoch[142] Batch [180]	Speed: 153.62 samples/sec	CrossEntropy=0.741856	SmoothL1=0.336958
Epoch[142] Batch [200]	Speed: 158.03 samples/sec	CrossEntropy=0.738405	SmoothL1=0.315151
Epoch[142] Batch [220]	Speed: 158.90 samples/sec	CrossEntropy=0.745307	SmoothL1=0.339377
Epoch[142] Batch [240]	Speed: 157.91 samples/sec	CrossEntropy=0.749429	SmoothL1=0.343337
Epoch[142] Batch [260]	Speed: 154.45 samples/sec	CrossEntropy=0.758239	SmoothL1=0.354653
Epoch[142] Batch [280]	Speed: 157.18 samples/sec	CrossEntropy=0.760557	SmoothL1=0.353663
Epoch[142] Batch [300]	Speed: 155.68 samples/sec	CrossEntropy=0.758491	SmoothL1=0.348932
Epoch[142] Batch [320]	Speed: 156.54 samples/sec	CrossEntropy=0.742134	SmoothL1=0.328368
Epoch[142] Batch [340]	Speed: 161.07 samples/sec	CrossEntropy=0.744661	SmoothL1=0.349919
Epoch[142] Train-CrossEntropy=0.782538
Epoch[142] Train-SmoothL1=0.359165
Epoch[142] Time cost=105.812
Epoch[142] Validation-aeroplane=0.478310
Epoch[142] Validation-bicycle=0.495574
Epoch[142] Validation-bird=0.227285
Epoch[142] Validation-boat=0.255861
Epoch[142] Validation-bottle=0.098754
Epoch[142] Validation-bus=0.534996
Epoch[142] Validation-car=0.555810
Epoch[142] Validation-cat=0.491595
Epoch[142] Validation-chair=0.235184
Epoch[142] Validation-cow=0.260412
Epoch[142] Validation-diningtable=0.471146
Epoch[142] Validation-dog=0.422241
Epoch[142] Validation-horse=0.581335
Epoch[142] Validation-motorbike=0.537055
Epoch[142] Validation-person=0.526561
Epoch[142] Validation-pottedplant=0.145778
Epoch[142] Validation-sheep=0.373021
Epoch[142] Validation-sofa=0.342978
Epoch[142] Validation-train=0.587705
Epoch[142] Validation-tvmonitor=0.414325
Epoch[142] Validation-mAP=0.401796
Epoch[143] Batch [20]	Speed: 153.33 samples/sec	CrossEntropy=0.751738	SmoothL1=0.335991
Epoch[143] Batch [40]	Speed: 150.20 samples/sec	CrossEntropy=0.753056	SmoothL1=0.337470
Epoch[143] Batch [60]	Speed: 157.42 samples/sec	CrossEntropy=0.758323	SmoothL1=0.347952
Epoch[143] Batch [80]	Speed: 154.97 samples/sec	CrossEntropy=0.757378	SmoothL1=0.354535
Epoch[143] Batch [100]	Speed: 157.40 samples/sec	CrossEntropy=0.748797	SmoothL1=0.337271
Epoch[143] Batch [120]	Speed: 158.29 samples/sec	CrossEntropy=0.751032	SmoothL1=0.351513
Epoch[143] Batch [140]	Speed: 156.39 samples/sec	CrossEntropy=0.745101	SmoothL1=0.344467
Epoch[143] Batch [160]	Speed: 159.89 samples/sec	CrossEntropy=0.753366	SmoothL1=0.344111
Epoch[143] Batch [180]	Speed: 158.27 samples/sec	CrossEntropy=0.735838	SmoothL1=0.349718
Epoch[143] Batch [200]	Speed: 157.95 samples/sec	CrossEntropy=0.737648	SmoothL1=0.325622
Epoch[143] Batch [220]	Speed: 155.84 samples/sec	CrossEntropy=0.741378	SmoothL1=0.344680
Epoch[143] Batch [240]	Speed: 159.49 samples/sec	CrossEntropy=0.764118	SmoothL1=0.351554
Epoch[143] Batch [260]	Speed: 157.63 samples/sec	CrossEntropy=0.756971	SmoothL1=0.342701
Epoch[143] Batch [280]	Speed: 156.66 samples/sec	CrossEntropy=0.757470	SmoothL1=0.351897
Epoch[143] Batch [300]	Speed: 157.03 samples/sec	CrossEntropy=0.747511	SmoothL1=0.331897
Epoch[143] Batch [320]	Speed: 158.37 samples/sec	CrossEntropy=0.743550	SmoothL1=0.328473
Epoch[143] Batch [340]	Speed: 161.36 samples/sec	CrossEntropy=0.754864	SmoothL1=0.346162
Epoch[143] Train-CrossEntropy=0.764035
Epoch[143] Train-SmoothL1=0.340937
Epoch[143] Time cost=105.230
Epoch[143] Validation-aeroplane=0.476778
Epoch[143] Validation-bicycle=0.501674
Epoch[143] Validation-bird=0.223729
Epoch[143] Validation-boat=0.249781
Epoch[143] Validation-bottle=0.098944
Epoch[143] Validation-bus=0.527851
Epoch[143] Validation-car=0.557803
Epoch[143] Validation-cat=0.499586
Epoch[143] Validation-chair=0.232656
Epoch[143] Validation-cow=0.259219
Epoch[143] Validation-diningtable=0.477033
Epoch[143] Validation-dog=0.413586
Epoch[143] Validation-horse=0.569758
Epoch[143] Validation-motorbike=0.555653
Epoch[143] Validation-person=0.524636
Epoch[143] Validation-pottedplant=0.141919
Epoch[143] Validation-sheep=0.365250
Epoch[143] Validation-sofa=0.374632
Epoch[143] Validation-train=0.594651
Epoch[143] Validation-tvmonitor=0.408759
Epoch[143] Validation-mAP=0.402695
Epoch[144] Batch [20]	Speed: 148.54 samples/sec	CrossEntropy=0.760710	SmoothL1=0.344573
Epoch[144] Batch [40]	Speed: 158.66 samples/sec	CrossEntropy=0.739491	SmoothL1=0.337177
Epoch[144] Batch [60]	Speed: 158.93 samples/sec	CrossEntropy=0.739937	SmoothL1=0.343318
Epoch[144] Batch [80]	Speed: 155.08 samples/sec	CrossEntropy=0.749689	SmoothL1=0.337314
Epoch[144] Batch [100]	Speed: 157.73 samples/sec	CrossEntropy=0.748034	SmoothL1=0.340811
Epoch[144] Batch [120]	Speed: 159.06 samples/sec	CrossEntropy=0.742898	SmoothL1=0.360047
Epoch[144] Batch [140]	Speed: 157.98 samples/sec	CrossEntropy=0.745627	SmoothL1=0.344056
Epoch[144] Batch [160]	Speed: 156.01 samples/sec	CrossEntropy=0.755472	SmoothL1=0.347932
Epoch[144] Batch [180]	Speed: 157.29 samples/sec	CrossEntropy=0.742663	SmoothL1=0.340398
Epoch[144] Batch [200]	Speed: 154.41 samples/sec	CrossEntropy=0.735404	SmoothL1=0.320483
Epoch[144] Batch [220]	Speed: 157.58 samples/sec	CrossEntropy=0.754893	SmoothL1=0.345935
Epoch[144] Batch [240]	Speed: 157.39 samples/sec	CrossEntropy=0.752777	SmoothL1=0.339939
Epoch[144] Batch [260]	Speed: 158.99 samples/sec	CrossEntropy=0.747470	SmoothL1=0.342651
Epoch[144] Batch [280]	Speed: 158.54 samples/sec	CrossEntropy=0.741218	SmoothL1=0.344921
Epoch[144] Batch [300]	Speed: 159.74 samples/sec	CrossEntropy=0.767417	SmoothL1=0.343322
Epoch[144] Batch [320]	Speed: 157.85 samples/sec	CrossEntropy=0.731674	SmoothL1=0.315987
Epoch[144] Batch [340]	Speed: 160.60 samples/sec	CrossEntropy=0.752566	SmoothL1=0.340376
Epoch[144] Train-CrossEntropy=0.787501
Epoch[144] Train-SmoothL1=0.328507
Epoch[144] Time cost=105.106
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0145.params"
Epoch[144] Validation-aeroplane=0.466570
Epoch[144] Validation-bicycle=0.500136
Epoch[144] Validation-bird=0.223294
Epoch[144] Validation-boat=0.253220
Epoch[144] Validation-bottle=0.098368
Epoch[144] Validation-bus=0.533973
Epoch[144] Validation-car=0.561625
Epoch[144] Validation-cat=0.495506
Epoch[144] Validation-chair=0.227667
Epoch[144] Validation-cow=0.248596
Epoch[144] Validation-diningtable=0.476235
Epoch[144] Validation-dog=0.429840
Epoch[144] Validation-horse=0.578042
Epoch[144] Validation-motorbike=0.554071
Epoch[144] Validation-person=0.529934
Epoch[144] Validation-pottedplant=0.147786
Epoch[144] Validation-sheep=0.365482
Epoch[144] Validation-sofa=0.370736
Epoch[144] Validation-train=0.584696
Epoch[144] Validation-tvmonitor=0.401540
Epoch[144] Validation-mAP=0.402366
Epoch[145] Batch [20]	Speed: 151.10 samples/sec	CrossEntropy=0.750382	SmoothL1=0.345792
Epoch[145] Batch [40]	Speed: 157.47 samples/sec	CrossEntropy=0.740737	SmoothL1=0.336290
Epoch[145] Batch [60]	Speed: 156.28 samples/sec	CrossEntropy=0.751403	SmoothL1=0.334879
Epoch[145] Batch [80]	Speed: 154.77 samples/sec	CrossEntropy=0.752851	SmoothL1=0.349917
Epoch[145] Batch [100]	Speed: 159.59 samples/sec	CrossEntropy=0.744710	SmoothL1=0.337312
Epoch[145] Batch [120]	Speed: 157.98 samples/sec	CrossEntropy=0.742031	SmoothL1=0.353248
Epoch[145] Batch [140]	Speed: 159.39 samples/sec	CrossEntropy=0.743877	SmoothL1=0.336669
Epoch[145] Batch [160]	Speed: 156.67 samples/sec	CrossEntropy=0.748576	SmoothL1=0.346773
Epoch[145] Batch [180]	Speed: 155.89 samples/sec	CrossEntropy=0.726754	SmoothL1=0.342246
Epoch[145] Batch [200]	Speed: 159.38 samples/sec	CrossEntropy=0.741672	SmoothL1=0.340440
Epoch[145] Batch [220]	Speed: 158.64 samples/sec	CrossEntropy=0.749298	SmoothL1=0.339715
Epoch[145] Batch [240]	Speed: 156.67 samples/sec	CrossEntropy=0.756921	SmoothL1=0.339853
Epoch[145] Batch [260]	Speed: 152.98 samples/sec	CrossEntropy=0.746785	SmoothL1=0.339399
Epoch[145] Batch [280]	Speed: 156.27 samples/sec	CrossEntropy=0.762712	SmoothL1=0.355425
Epoch[145] Batch [300]	Speed: 156.95 samples/sec	CrossEntropy=0.750421	SmoothL1=0.339225
Epoch[145] Batch [320]	Speed: 155.55 samples/sec	CrossEntropy=0.741168	SmoothL1=0.333457
Epoch[145] Batch [340]	Speed: 162.96 samples/sec	CrossEntropy=0.747634	SmoothL1=0.324890
Epoch[145] Train-CrossEntropy=0.755103
Epoch[145] Train-SmoothL1=0.323132
Epoch[145] Time cost=105.309
Epoch[145] Validation-aeroplane=0.473428
Epoch[145] Validation-bicycle=0.490213
Epoch[145] Validation-bird=0.228661
Epoch[145] Validation-boat=0.241603
Epoch[145] Validation-bottle=0.099396
Epoch[145] Validation-bus=0.523431
Epoch[145] Validation-car=0.560125
Epoch[145] Validation-cat=0.490000
Epoch[145] Validation-chair=0.237115
Epoch[145] Validation-cow=0.254876
Epoch[145] Validation-diningtable=0.485891
Epoch[145] Validation-dog=0.425148
Epoch[145] Validation-horse=0.575821
Epoch[145] Validation-motorbike=0.558628
Epoch[145] Validation-person=0.529836
Epoch[145] Validation-pottedplant=0.147440
Epoch[145] Validation-sheep=0.363986
Epoch[145] Validation-sofa=0.359727
Epoch[145] Validation-train=0.596578
Epoch[145] Validation-tvmonitor=0.409865
Epoch[145] Validation-mAP=0.402588
Epoch[146] Batch [20]	Speed: 149.35 samples/sec	CrossEntropy=0.756112	SmoothL1=0.364681
Epoch[146] Batch [40]	Speed: 158.36 samples/sec	CrossEntropy=0.732256	SmoothL1=0.331793
Epoch[146] Batch [60]	Speed: 158.79 samples/sec	CrossEntropy=0.752460	SmoothL1=0.334082
Epoch[146] Batch [80]	Speed: 151.24 samples/sec	CrossEntropy=0.744633	SmoothL1=0.332124
Epoch[146] Batch [100]	Speed: 156.06 samples/sec	CrossEntropy=0.750487	SmoothL1=0.331989
Epoch[146] Batch [120]	Speed: 157.84 samples/sec	CrossEntropy=0.740782	SmoothL1=0.343794
Epoch[146] Batch [140]	Speed: 154.90 samples/sec	CrossEntropy=0.741319	SmoothL1=0.334930
Epoch[146] Batch [160]	Speed: 157.39 samples/sec	CrossEntropy=0.750827	SmoothL1=0.329184
Epoch[146] Batch [180]	Speed: 156.52 samples/sec	CrossEntropy=0.727207	SmoothL1=0.341985
Epoch[146] Batch [200]	Speed: 160.80 samples/sec	CrossEntropy=0.746145	SmoothL1=0.342099
Epoch[146] Batch [220]	Speed: 159.33 samples/sec	CrossEntropy=0.745429	SmoothL1=0.334279
Epoch[146] Batch [240]	Speed: 153.99 samples/sec	CrossEntropy=0.750333	SmoothL1=0.354799
Epoch[146] Batch [260]	Speed: 158.24 samples/sec	CrossEntropy=0.751818	SmoothL1=0.344984
Epoch[146] Batch [280]	Speed: 155.11 samples/sec	CrossEntropy=0.758644	SmoothL1=0.360682
Epoch[146] Batch [300]	Speed: 153.95 samples/sec	CrossEntropy=0.754975	SmoothL1=0.358996
Epoch[146] Batch [320]	Speed: 159.67 samples/sec	CrossEntropy=0.736863	SmoothL1=0.343680
Epoch[146] Batch [340]	Speed: 159.91 samples/sec	CrossEntropy=0.754945	SmoothL1=0.341776
Epoch[146] Train-CrossEntropy=0.746013
Epoch[146] Train-SmoothL1=0.338329
Epoch[146] Time cost=105.635
Epoch[146] Validation-aeroplane=0.475736
Epoch[146] Validation-bicycle=0.492688
Epoch[146] Validation-bird=0.228630
Epoch[146] Validation-boat=0.256685
Epoch[146] Validation-bottle=0.099463
Epoch[146] Validation-bus=0.523868
Epoch[146] Validation-car=0.558700
Epoch[146] Validation-cat=0.488042
Epoch[146] Validation-chair=0.235928
Epoch[146] Validation-cow=0.253630
Epoch[146] Validation-diningtable=0.481636
Epoch[146] Validation-dog=0.418188
Epoch[146] Validation-horse=0.550306
Epoch[146] Validation-motorbike=0.563015
Epoch[146] Validation-person=0.526799
Epoch[146] Validation-pottedplant=0.141612
Epoch[146] Validation-sheep=0.363880
Epoch[146] Validation-sofa=0.400772
Epoch[146] Validation-train=0.578035
Epoch[146] Validation-tvmonitor=0.401252
Epoch[146] Validation-mAP=0.401943
Epoch[147] Batch [20]	Speed: 153.54 samples/sec	CrossEntropy=0.738805	SmoothL1=0.344426
Epoch[147] Batch [40]	Speed: 158.73 samples/sec	CrossEntropy=0.738457	SmoothL1=0.349824
Epoch[147] Batch [60]	Speed: 155.85 samples/sec	CrossEntropy=0.740440	SmoothL1=0.338924
Epoch[147] Batch [80]	Speed: 157.33 samples/sec	CrossEntropy=0.752280	SmoothL1=0.349901
Epoch[147] Batch [100]	Speed: 159.55 samples/sec	CrossEntropy=0.738557	SmoothL1=0.333619
Epoch[147] Batch [120]	Speed: 161.11 samples/sec	CrossEntropy=0.732920	SmoothL1=0.338714
Epoch[147] Batch [140]	Speed: 159.25 samples/sec	CrossEntropy=0.738249	SmoothL1=0.347822
Epoch[147] Batch [160]	Speed: 156.02 samples/sec	CrossEntropy=0.752372	SmoothL1=0.330390
Epoch[147] Batch [180]	Speed: 157.89 samples/sec	CrossEntropy=0.735835	SmoothL1=0.335254
Epoch[147] Batch [200]	Speed: 157.71 samples/sec	CrossEntropy=0.742499	SmoothL1=0.333074
Epoch[147] Batch [220]	Speed: 155.51 samples/sec	CrossEntropy=0.735819	SmoothL1=0.337338
Epoch[147] Batch [240]	Speed: 157.42 samples/sec	CrossEntropy=0.754172	SmoothL1=0.333951
Epoch[147] Batch [260]	Speed: 155.88 samples/sec	CrossEntropy=0.758604	SmoothL1=0.344377
Epoch[147] Batch [280]	Speed: 157.33 samples/sec	CrossEntropy=0.755679	SmoothL1=0.347909
Epoch[147] Batch [300]	Speed: 158.56 samples/sec	CrossEntropy=0.748403	SmoothL1=0.331551
Epoch[147] Batch [320]	Speed: 159.84 samples/sec	CrossEntropy=0.746652	SmoothL1=0.325812
Epoch[147] Batch [340]	Speed: 163.11 samples/sec	CrossEntropy=0.757806	SmoothL1=0.335633
Epoch[147] Train-CrossEntropy=0.763599
Epoch[147] Train-SmoothL1=0.341068
Epoch[147] Time cost=104.434
Epoch[147] Validation-aeroplane=0.466118
Epoch[147] Validation-bicycle=0.488199
Epoch[147] Validation-bird=0.240137
Epoch[147] Validation-boat=0.241570
Epoch[147] Validation-bottle=0.100469
Epoch[147] Validation-bus=0.529158
Epoch[147] Validation-car=0.564088
Epoch[147] Validation-cat=0.489219
Epoch[147] Validation-chair=0.233897
Epoch[147] Validation-cow=0.260456
Epoch[147] Validation-diningtable=0.486140
Epoch[147] Validation-dog=0.417858
Epoch[147] Validation-horse=0.571737
Epoch[147] Validation-motorbike=0.560230
Epoch[147] Validation-person=0.521759
Epoch[147] Validation-pottedplant=0.150931
Epoch[147] Validation-sheep=0.356315
Epoch[147] Validation-sofa=0.384419
Epoch[147] Validation-train=0.577396
Epoch[147] Validation-tvmonitor=0.404058
Epoch[147] Validation-mAP=0.402208
Epoch[148] Batch [20]	Speed: 154.08 samples/sec	CrossEntropy=0.736113	SmoothL1=0.342440
Epoch[148] Batch [40]	Speed: 158.25 samples/sec	CrossEntropy=0.740879	SmoothL1=0.351903
Epoch[148] Batch [60]	Speed: 158.35 samples/sec	CrossEntropy=0.747425	SmoothL1=0.338373
Epoch[148] Batch [80]	Speed: 160.81 samples/sec	CrossEntropy=0.742347	SmoothL1=0.336752
Epoch[148] Batch [100]	Speed: 157.46 samples/sec	CrossEntropy=0.745873	SmoothL1=0.330231
Epoch[148] Batch [120]	Speed: 154.19 samples/sec	CrossEntropy=0.738588	SmoothL1=0.342039
Epoch[148] Batch [140]	Speed: 155.93 samples/sec	CrossEntropy=0.729850	SmoothL1=0.332606
Epoch[148] Batch [160]	Speed: 158.22 samples/sec	CrossEntropy=0.752059	SmoothL1=0.335975
Epoch[148] Batch [180]	Speed: 158.21 samples/sec	CrossEntropy=0.733062	SmoothL1=0.326288
Epoch[148] Batch [200]	Speed: 160.80 samples/sec	CrossEntropy=0.740199	SmoothL1=0.333241
Epoch[148] Batch [220]	Speed: 158.73 samples/sec	CrossEntropy=0.738116	SmoothL1=0.321666
Epoch[148] Batch [240]	Speed: 157.59 samples/sec	CrossEntropy=0.742626	SmoothL1=0.346589
Epoch[148] Batch [260]	Speed: 159.47 samples/sec	CrossEntropy=0.746823	SmoothL1=0.360184
Epoch[148] Batch [280]	Speed: 153.46 samples/sec	CrossEntropy=0.743573	SmoothL1=0.343789
Epoch[148] Batch [300]	Speed: 157.59 samples/sec	CrossEntropy=0.752666	SmoothL1=0.351235
Epoch[148] Batch [320]	Speed: 160.59 samples/sec	CrossEntropy=0.738669	SmoothL1=0.321346
Epoch[148] Batch [340]	Speed: 163.07 samples/sec	CrossEntropy=0.748467	SmoothL1=0.334573
Epoch[148] Train-CrossEntropy=0.770004
Epoch[148] Train-SmoothL1=0.343207
Epoch[148] Time cost=104.609
Epoch[148] Validation-aeroplane=0.462501
Epoch[148] Validation-bicycle=0.484386
Epoch[148] Validation-bird=0.214981
Epoch[148] Validation-boat=0.239742
Epoch[148] Validation-bottle=0.101193
Epoch[148] Validation-bus=0.543763
Epoch[148] Validation-car=0.568057
Epoch[148] Validation-cat=0.486803
Epoch[148] Validation-chair=0.235639
Epoch[148] Validation-cow=0.250093
Epoch[148] Validation-diningtable=0.475563
Epoch[148] Validation-dog=0.424542
Epoch[148] Validation-horse=0.568751
Epoch[148] Validation-motorbike=0.565790
Epoch[148] Validation-person=0.531426
Epoch[148] Validation-pottedplant=0.147940
Epoch[148] Validation-sheep=0.356773
Epoch[148] Validation-sofa=0.383167
Epoch[148] Validation-train=0.585387
Epoch[148] Validation-tvmonitor=0.408516
Epoch[148] Validation-mAP=0.401751
Epoch[149] Batch [20]	Speed: 156.00 samples/sec	CrossEntropy=0.749368	SmoothL1=0.350253
Epoch[149] Batch [40]	Speed: 160.25 samples/sec	CrossEntropy=0.736197	SmoothL1=0.331740
Epoch[149] Batch [60]	Speed: 161.62 samples/sec	CrossEntropy=0.744873	SmoothL1=0.344955
Epoch[149] Batch [80]	Speed: 158.68 samples/sec	CrossEntropy=0.748732	SmoothL1=0.341992
Epoch[149] Batch [100]	Speed: 157.61 samples/sec	CrossEntropy=0.733261	SmoothL1=0.331228
Epoch[149] Batch [120]	Speed: 157.20 samples/sec	CrossEntropy=0.746333	SmoothL1=0.354956
Epoch[149] Batch [140]	Speed: 158.89 samples/sec	CrossEntropy=0.738834	SmoothL1=0.340140
Epoch[149] Batch [160]	Speed: 154.57 samples/sec	CrossEntropy=0.741608	SmoothL1=0.330934
Epoch[149] Batch [180]	Speed: 158.60 samples/sec	CrossEntropy=0.727496	SmoothL1=0.339419
Epoch[149] Batch [200]	Speed: 159.69 samples/sec	CrossEntropy=0.732039	SmoothL1=0.313087
Epoch[149] Batch [220]	Speed: 160.44 samples/sec	CrossEntropy=0.738778	SmoothL1=0.327966
Epoch[149] Batch [240]	Speed: 156.16 samples/sec	CrossEntropy=0.727990	SmoothL1=0.344915
Epoch[149] Batch [260]	Speed: 159.01 samples/sec	CrossEntropy=0.737106	SmoothL1=0.341867
Epoch[149] Batch [280]	Speed: 156.97 samples/sec	CrossEntropy=0.735422	SmoothL1=0.339648
Epoch[149] Batch [300]	Speed: 157.35 samples/sec	CrossEntropy=0.735448	SmoothL1=0.331283
Epoch[149] Batch [320]	Speed: 161.41 samples/sec	CrossEntropy=0.741284	SmoothL1=0.340217
Epoch[149] Batch [340]	Speed: 161.74 samples/sec	CrossEntropy=0.762414	SmoothL1=0.329770
Epoch[149] Train-CrossEntropy=0.785427
Epoch[149] Train-SmoothL1=0.321287
Epoch[149] Time cost=104.294
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0150.params"
Epoch[149] Validation-aeroplane=0.485818
Epoch[149] Validation-bicycle=0.476467
Epoch[149] Validation-bird=0.237392
Epoch[149] Validation-boat=0.250850
Epoch[149] Validation-bottle=0.100018
Epoch[149] Validation-bus=0.537129
Epoch[149] Validation-car=0.563891
Epoch[149] Validation-cat=0.510117
Epoch[149] Validation-chair=0.228540
Epoch[149] Validation-cow=0.242729
Epoch[149] Validation-diningtable=0.468467
Epoch[149] Validation-dog=0.412139
Epoch[149] Validation-horse=0.582726
Epoch[149] Validation-motorbike=0.561375
Epoch[149] Validation-person=0.531311
Epoch[149] Validation-pottedplant=0.142812
Epoch[149] Validation-sheep=0.362794
Epoch[149] Validation-sofa=0.340358
Epoch[149] Validation-train=0.594500
Epoch[149] Validation-tvmonitor=0.411088
Epoch[149] Validation-mAP=0.402026
Epoch[150] Batch [20]	Speed: 146.63 samples/sec	CrossEntropy=0.759676	SmoothL1=0.349034
Epoch[150] Batch [40]	Speed: 158.99 samples/sec	CrossEntropy=0.748383	SmoothL1=0.347144
Epoch[150] Batch [60]	Speed: 157.99 samples/sec	CrossEntropy=0.754832	SmoothL1=0.349410
Epoch[150] Batch [80]	Speed: 158.73 samples/sec	CrossEntropy=0.761566	SmoothL1=0.355430
Epoch[150] Batch [100]	Speed: 156.18 samples/sec	CrossEntropy=0.761903	SmoothL1=0.339113
Epoch[150] Batch [120]	Speed: 158.73 samples/sec	CrossEntropy=0.752023	SmoothL1=0.349694
Epoch[150] Batch [140]	Speed: 160.97 samples/sec	CrossEntropy=0.747652	SmoothL1=0.344767
Epoch[150] Batch [160]	Speed: 160.05 samples/sec	CrossEntropy=0.760165	SmoothL1=0.357666
Epoch[150] Batch [180]	Speed: 157.31 samples/sec	CrossEntropy=0.759926	SmoothL1=0.353674
Epoch[150] Batch [200]	Speed: 156.21 samples/sec	CrossEntropy=0.740939	SmoothL1=0.325819
Epoch[150] Batch [220]	Speed: 160.35 samples/sec	CrossEntropy=0.751665	SmoothL1=0.349950
Epoch[150] Batch [240]	Speed: 156.84 samples/sec	CrossEntropy=0.769971	SmoothL1=0.353130
Epoch[150] Batch [260]	Speed: 158.18 samples/sec	CrossEntropy=0.753890	SmoothL1=0.352923
Epoch[150] Batch [280]	Speed: 157.97 samples/sec	CrossEntropy=0.765372	SmoothL1=0.357151
Epoch[150] Batch [300]	Speed: 156.05 samples/sec	CrossEntropy=0.758828	SmoothL1=0.346410
Epoch[150] Batch [320]	Speed: 157.61 samples/sec	CrossEntropy=0.757568	SmoothL1=0.338164
Epoch[150] Batch [340]	Speed: 161.20 samples/sec	CrossEntropy=0.774290	SmoothL1=0.344149
Epoch[150] Train-CrossEntropy=0.762154
Epoch[150] Train-SmoothL1=0.332561
Epoch[150] Time cost=104.917
Epoch[150] Validation-aeroplane=0.470116
Epoch[150] Validation-bicycle=0.502435
Epoch[150] Validation-bird=0.225139
Epoch[150] Validation-boat=0.238749
Epoch[150] Validation-bottle=0.098821
Epoch[150] Validation-bus=0.543944
Epoch[150] Validation-car=0.569032
Epoch[150] Validation-cat=0.489092
Epoch[150] Validation-chair=0.228766
Epoch[150] Validation-cow=0.266732
Epoch[150] Validation-diningtable=0.459155
Epoch[150] Validation-dog=0.419070
Epoch[150] Validation-horse=0.584424
Epoch[150] Validation-motorbike=0.549291
Epoch[150] Validation-person=0.527524
Epoch[150] Validation-pottedplant=0.146427
Epoch[150] Validation-sheep=0.369182
Epoch[150] Validation-sofa=0.377295
Epoch[150] Validation-train=0.602817
Epoch[150] Validation-tvmonitor=0.405196
Epoch[150] Validation-mAP=0.403660
Epoch[151] Batch [20]	Speed: 154.10 samples/sec	CrossEntropy=0.741420	SmoothL1=0.349306
Epoch[151] Batch [40]	Speed: 153.54 samples/sec	CrossEntropy=0.745948	SmoothL1=0.346514
Epoch[151] Batch [60]	Speed: 154.91 samples/sec	CrossEntropy=0.752487	SmoothL1=0.352051
Epoch[151] Batch [80]	Speed: 157.48 samples/sec	CrossEntropy=0.760639	SmoothL1=0.351255
Epoch[151] Batch [100]	Speed: 157.78 samples/sec	CrossEntropy=0.754680	SmoothL1=0.340334
Epoch[151] Batch [120]	Speed: 156.64 samples/sec	CrossEntropy=0.747196	SmoothL1=0.356194
Epoch[151] Batch [140]	Speed: 158.07 samples/sec	CrossEntropy=0.751876	SmoothL1=0.337907
Epoch[151] Batch [160]	Speed: 159.39 samples/sec	CrossEntropy=0.770300	SmoothL1=0.353531
Epoch[151] Batch [180]	Speed: 154.74 samples/sec	CrossEntropy=0.748418	SmoothL1=0.340640
Epoch[151] Batch [200]	Speed: 157.68 samples/sec	CrossEntropy=0.744284	SmoothL1=0.349207
Epoch[151] Batch [220]	Speed: 157.85 samples/sec	CrossEntropy=0.761225	SmoothL1=0.344992
Epoch[151] Batch [240]	Speed: 161.47 samples/sec	CrossEntropy=0.744318	SmoothL1=0.355629
Epoch[151] Batch [260]	Speed: 159.40 samples/sec	CrossEntropy=0.752908	SmoothL1=0.353653
Epoch[151] Batch [280]	Speed: 153.99 samples/sec	CrossEntropy=0.766231	SmoothL1=0.360712
Epoch[151] Batch [300]	Speed: 153.79 samples/sec	CrossEntropy=0.757742	SmoothL1=0.346748
Epoch[151] Batch [320]	Speed: 159.56 samples/sec	CrossEntropy=0.747669	SmoothL1=0.336534
Epoch[151] Batch [340]	Speed: 163.76 samples/sec	CrossEntropy=0.753513	SmoothL1=0.351437
Epoch[151] Train-CrossEntropy=0.775887
Epoch[151] Train-SmoothL1=0.331586
Epoch[151] Time cost=105.171
Epoch[151] Validation-aeroplane=0.478108
Epoch[151] Validation-bicycle=0.480845
Epoch[151] Validation-bird=0.223069
Epoch[151] Validation-boat=0.255297
Epoch[151] Validation-bottle=0.100000
Epoch[151] Validation-bus=0.541036
Epoch[151] Validation-car=0.561832
Epoch[151] Validation-cat=0.501786
Epoch[151] Validation-chair=0.232433
Epoch[151] Validation-cow=0.261991
Epoch[151] Validation-diningtable=0.471835
Epoch[151] Validation-dog=0.413602
Epoch[151] Validation-horse=0.565792
Epoch[151] Validation-motorbike=0.558329
Epoch[151] Validation-person=0.529612
Epoch[151] Validation-pottedplant=0.150522
Epoch[151] Validation-sheep=0.370159
Epoch[151] Validation-sofa=0.380745
Epoch[151] Validation-train=0.582576
Epoch[151] Validation-tvmonitor=0.411507
Epoch[151] Validation-mAP=0.403554
Epoch[152] Batch [20]	Speed: 149.15 samples/sec	CrossEntropy=0.755319	SmoothL1=0.365623
Epoch[152] Batch [40]	Speed: 156.75 samples/sec	CrossEntropy=0.743693	SmoothL1=0.337662
Epoch[152] Batch [60]	Speed: 159.37 samples/sec	CrossEntropy=0.759262	SmoothL1=0.346292
Epoch[152] Batch [80]	Speed: 159.69 samples/sec	CrossEntropy=0.758220	SmoothL1=0.344760
Epoch[152] Batch [100]	Speed: 153.26 samples/sec	CrossEntropy=0.746869	SmoothL1=0.344976
Epoch[152] Batch [120]	Speed: 157.81 samples/sec	CrossEntropy=0.753201	SmoothL1=0.354012
Epoch[152] Batch [140]	Speed: 157.42 samples/sec	CrossEntropy=0.760776	SmoothL1=0.340651
Epoch[152] Batch [160]	Speed: 157.04 samples/sec	CrossEntropy=0.772517	SmoothL1=0.342635
Epoch[152] Batch [180]	Speed: 157.90 samples/sec	CrossEntropy=0.739781	SmoothL1=0.342988
Epoch[152] Batch [200]	Speed: 154.11 samples/sec	CrossEntropy=0.763290	SmoothL1=0.354122
Epoch[152] Batch [220]	Speed: 161.76 samples/sec	CrossEntropy=0.749572	SmoothL1=0.334407
Epoch[152] Batch [240]	Speed: 157.27 samples/sec	CrossEntropy=0.777240	SmoothL1=0.355900
Epoch[152] Batch [260]	Speed: 160.26 samples/sec	CrossEntropy=0.764659	SmoothL1=0.354344
Epoch[152] Batch [280]	Speed: 155.59 samples/sec	CrossEntropy=0.768074	SmoothL1=0.354151
Epoch[152] Batch [300]	Speed: 154.22 samples/sec	CrossEntropy=0.762653	SmoothL1=0.354513
Epoch[152] Batch [320]	Speed: 157.17 samples/sec	CrossEntropy=0.753450	SmoothL1=0.333194
Epoch[152] Batch [340]	Speed: 163.69 samples/sec	CrossEntropy=0.763182	SmoothL1=0.350005
Epoch[152] Train-CrossEntropy=0.745905
Epoch[152] Train-SmoothL1=0.342015
Epoch[152] Time cost=104.892
Epoch[152] Validation-aeroplane=0.470639
Epoch[152] Validation-bicycle=0.507458
Epoch[152] Validation-bird=0.224616
Epoch[152] Validation-boat=0.265018
Epoch[152] Validation-bottle=0.100053
Epoch[152] Validation-bus=0.534216
Epoch[152] Validation-car=0.555535
Epoch[152] Validation-cat=0.493427
Epoch[152] Validation-chair=0.226437
Epoch[152] Validation-cow=0.252138
Epoch[152] Validation-diningtable=0.452054
Epoch[152] Validation-dog=0.428884
Epoch[152] Validation-horse=0.583802
Epoch[152] Validation-motorbike=0.571016
Epoch[152] Validation-person=0.532988
Epoch[152] Validation-pottedplant=0.153783
Epoch[152] Validation-sheep=0.357439
Epoch[152] Validation-sofa=0.378584
Epoch[152] Validation-train=0.586409
Epoch[152] Validation-tvmonitor=0.394638
Epoch[152] Validation-mAP=0.403457
Epoch[153] Batch [20]	Speed: 152.72 samples/sec	CrossEntropy=0.768400	SmoothL1=0.353558
Epoch[153] Batch [40]	Speed: 158.77 samples/sec	CrossEntropy=0.747111	SmoothL1=0.354326
Epoch[153] Batch [60]	Speed: 158.73 samples/sec	CrossEntropy=0.747295	SmoothL1=0.341349
Epoch[153] Batch [80]	Speed: 156.96 samples/sec	CrossEntropy=0.743764	SmoothL1=0.342426
Epoch[153] Batch [100]	Speed: 159.58 samples/sec	CrossEntropy=0.755237	SmoothL1=0.336279
Epoch[153] Batch [120]	Speed: 153.93 samples/sec	CrossEntropy=0.753633	SmoothL1=0.354517
Epoch[153] Batch [140]	Speed: 158.59 samples/sec	CrossEntropy=0.747513	SmoothL1=0.354153
Epoch[153] Batch [160]	Speed: 159.01 samples/sec	CrossEntropy=0.749326	SmoothL1=0.348346
Epoch[153] Batch [180]	Speed: 158.00 samples/sec	CrossEntropy=0.741126	SmoothL1=0.350830
Epoch[153] Batch [200]	Speed: 159.64 samples/sec	CrossEntropy=0.756246	SmoothL1=0.349290
Epoch[153] Batch [220]	Speed: 160.16 samples/sec	CrossEntropy=0.752536	SmoothL1=0.342413
Epoch[153] Batch [240]	Speed: 157.42 samples/sec	CrossEntropy=0.764720	SmoothL1=0.347608
Epoch[153] Batch [260]	Speed: 156.21 samples/sec	CrossEntropy=0.760834	SmoothL1=0.363544
Epoch[153] Batch [280]	Speed: 154.94 samples/sec	CrossEntropy=0.754527	SmoothL1=0.363333
Epoch[153] Batch [300]	Speed: 160.20 samples/sec	CrossEntropy=0.761288	SmoothL1=0.347740
Epoch[153] Batch [320]	Speed: 159.07 samples/sec	CrossEntropy=0.745752	SmoothL1=0.328879
Epoch[153] Batch [340]	Speed: 163.61 samples/sec	CrossEntropy=0.760887	SmoothL1=0.337544
Epoch[153] Train-CrossEntropy=0.772877
Epoch[153] Train-SmoothL1=0.328401
Epoch[153] Time cost=104.559
Epoch[153] Validation-aeroplane=0.479085
Epoch[153] Validation-bicycle=0.498002
Epoch[153] Validation-bird=0.233494
Epoch[153] Validation-boat=0.254032
Epoch[153] Validation-bottle=0.101461
Epoch[153] Validation-bus=0.550203
Epoch[153] Validation-car=0.561484
Epoch[153] Validation-cat=0.506674
Epoch[153] Validation-chair=0.231005
Epoch[153] Validation-cow=0.258478
Epoch[153] Validation-diningtable=0.462155
Epoch[153] Validation-dog=0.424787
Epoch[153] Validation-horse=0.576043
Epoch[153] Validation-motorbike=0.566967
Epoch[153] Validation-person=0.528906
Epoch[153] Validation-pottedplant=0.154114
Epoch[153] Validation-sheep=0.370100
Epoch[153] Validation-sofa=0.379208
Epoch[153] Validation-train=0.580741
Epoch[153] Validation-tvmonitor=0.409317
Epoch[153] Validation-mAP=0.406313
Epoch[154] Batch [20]	Speed: 147.77 samples/sec	CrossEntropy=0.750577	SmoothL1=0.347893
Epoch[154] Batch [40]	Speed: 159.14 samples/sec	CrossEntropy=0.769563	SmoothL1=0.360428
Epoch[154] Batch [60]	Speed: 160.42 samples/sec	CrossEntropy=0.774026	SmoothL1=0.355119
Epoch[154] Batch [80]	Speed: 156.24 samples/sec	CrossEntropy=0.762631	SmoothL1=0.366689
Epoch[154] Batch [100]	Speed: 159.69 samples/sec	CrossEntropy=0.751423	SmoothL1=0.339925
Epoch[154] Batch [120]	Speed: 156.87 samples/sec	CrossEntropy=0.756560	SmoothL1=0.345512
Epoch[154] Batch [140]	Speed: 154.66 samples/sec	CrossEntropy=0.758646	SmoothL1=0.343469
Epoch[154] Batch [160]	Speed: 160.03 samples/sec	CrossEntropy=0.752887	SmoothL1=0.343627
Epoch[154] Batch [180]	Speed: 153.48 samples/sec	CrossEntropy=0.738087	SmoothL1=0.343432
Epoch[154] Batch [200]	Speed: 157.34 samples/sec	CrossEntropy=0.752815	SmoothL1=0.333302
Epoch[154] Batch [220]	Speed: 156.08 samples/sec	CrossEntropy=0.742942	SmoothL1=0.340075
Epoch[154] Batch [240]	Speed: 155.19 samples/sec	CrossEntropy=0.748455	SmoothL1=0.345767
Epoch[154] Batch [260]	Speed: 154.43 samples/sec	CrossEntropy=0.751614	SmoothL1=0.347511
Epoch[154] Batch [280]	Speed: 158.56 samples/sec	CrossEntropy=0.763454	SmoothL1=0.367508
Epoch[154] Batch [300]	Speed: 152.27 samples/sec	CrossEntropy=0.755762	SmoothL1=0.357479
Epoch[154] Batch [320]	Speed: 155.52 samples/sec	CrossEntropy=0.746624	SmoothL1=0.339344
Epoch[154] Batch [340]	Speed: 162.31 samples/sec	CrossEntropy=0.764667	SmoothL1=0.344824
Epoch[154] Train-CrossEntropy=0.759491
Epoch[154] Train-SmoothL1=0.322019
Epoch[154] Time cost=105.724
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0155.params"
Epoch[154] Validation-aeroplane=0.482503
Epoch[154] Validation-bicycle=0.495671
Epoch[154] Validation-bird=0.226623
Epoch[154] Validation-boat=0.259471
Epoch[154] Validation-bottle=0.099806
Epoch[154] Validation-bus=0.539930
Epoch[154] Validation-car=0.555003
Epoch[154] Validation-cat=0.510013
Epoch[154] Validation-chair=0.230900
Epoch[154] Validation-cow=0.244813
Epoch[154] Validation-diningtable=0.464689
Epoch[154] Validation-dog=0.437233
Epoch[154] Validation-horse=0.582533
Epoch[154] Validation-motorbike=0.561465
Epoch[154] Validation-person=0.524027
Epoch[154] Validation-pottedplant=0.145907
Epoch[154] Validation-sheep=0.363625
Epoch[154] Validation-sofa=0.362924
Epoch[154] Validation-train=0.604423
Epoch[154] Validation-tvmonitor=0.402890
Epoch[154] Validation-mAP=0.404723
Epoch[155] Batch [20]	Speed: 147.94 samples/sec	CrossEntropy=0.756545	SmoothL1=0.350114
Epoch[155] Batch [40]	Speed: 158.73 samples/sec	CrossEntropy=0.747306	SmoothL1=0.350183
Epoch[155] Batch [60]	Speed: 159.44 samples/sec	CrossEntropy=0.748469	SmoothL1=0.337527
Epoch[155] Batch [80]	Speed: 160.40 samples/sec	CrossEntropy=0.768381	SmoothL1=0.350664
Epoch[155] Batch [100]	Speed: 157.48 samples/sec	CrossEntropy=0.752013	SmoothL1=0.337479
Epoch[155] Batch [120]	Speed: 157.74 samples/sec	CrossEntropy=0.753545	SmoothL1=0.369143
Epoch[155] Batch [140]	Speed: 160.16 samples/sec	CrossEntropy=0.742344	SmoothL1=0.347427
Epoch[155] Batch [160]	Speed: 158.78 samples/sec	CrossEntropy=0.767465	SmoothL1=0.331872
Epoch[155] Batch [180]	Speed: 158.87 samples/sec	CrossEntropy=0.749208	SmoothL1=0.338662
Epoch[155] Batch [200]	Speed: 157.22 samples/sec	CrossEntropy=0.748186	SmoothL1=0.340481
Epoch[155] Batch [220]	Speed: 154.89 samples/sec	CrossEntropy=0.761037	SmoothL1=0.355465
Epoch[155] Batch [240]	Speed: 157.05 samples/sec	CrossEntropy=0.765591	SmoothL1=0.351940
Epoch[155] Batch [260]	Speed: 155.33 samples/sec	CrossEntropy=0.767377	SmoothL1=0.355542
Epoch[155] Batch [280]	Speed: 155.87 samples/sec	CrossEntropy=0.744152	SmoothL1=0.355555
Epoch[155] Batch [300]	Speed: 157.17 samples/sec	CrossEntropy=0.754454	SmoothL1=0.342510
Epoch[155] Batch [320]	Speed: 157.56 samples/sec	CrossEntropy=0.743208	SmoothL1=0.344607
Epoch[155] Batch [340]	Speed: 160.53 samples/sec	CrossEntropy=0.769042	SmoothL1=0.335986
Epoch[155] Train-CrossEntropy=0.758547
Epoch[155] Train-SmoothL1=0.306057
Epoch[155] Time cost=105.092
Epoch[155] Validation-aeroplane=0.483554
Epoch[155] Validation-bicycle=0.497038
Epoch[155] Validation-bird=0.228161
Epoch[155] Validation-boat=0.248297
Epoch[155] Validation-bottle=0.099543
Epoch[155] Validation-bus=0.532314
Epoch[155] Validation-car=0.560166
Epoch[155] Validation-cat=0.499135
Epoch[155] Validation-chair=0.229690
Epoch[155] Validation-cow=0.276200
Epoch[155] Validation-diningtable=0.474382
Epoch[155] Validation-dog=0.430870
Epoch[155] Validation-horse=0.568823
Epoch[155] Validation-motorbike=0.560606
Epoch[155] Validation-person=0.526055
Epoch[155] Validation-pottedplant=0.145101
Epoch[155] Validation-sheep=0.357130
Epoch[155] Validation-sofa=0.369185
Epoch[155] Validation-train=0.587210
Epoch[155] Validation-tvmonitor=0.393357
Epoch[155] Validation-mAP=0.403341
Epoch[156] Batch [20]	Speed: 150.61 samples/sec	CrossEntropy=0.755872	SmoothL1=0.352470
Epoch[156] Batch [40]	Speed: 154.00 samples/sec	CrossEntropy=0.744076	SmoothL1=0.344054
Epoch[156] Batch [60]	Speed: 157.97 samples/sec	CrossEntropy=0.773749	SmoothL1=0.344222
Epoch[156] Batch [80]	Speed: 157.53 samples/sec	CrossEntropy=0.758470	SmoothL1=0.356036
Epoch[156] Batch [100]	Speed: 158.98 samples/sec	CrossEntropy=0.762465	SmoothL1=0.340040
Epoch[156] Batch [120]	Speed: 160.07 samples/sec	CrossEntropy=0.752896	SmoothL1=0.361138
Epoch[156] Batch [140]	Speed: 155.39 samples/sec	CrossEntropy=0.755218	SmoothL1=0.339127
Epoch[156] Batch [160]	Speed: 155.82 samples/sec	CrossEntropy=0.764937	SmoothL1=0.340522
Epoch[156] Batch [180]	Speed: 155.66 samples/sec	CrossEntropy=0.733596	SmoothL1=0.347634
Epoch[156] Batch [200]	Speed: 155.87 samples/sec	CrossEntropy=0.739520	SmoothL1=0.331989
Epoch[156] Batch [220]	Speed: 155.86 samples/sec	CrossEntropy=0.753757	SmoothL1=0.340682
Epoch[156] Batch [240]	Speed: 159.72 samples/sec	CrossEntropy=0.753205	SmoothL1=0.342675
Epoch[156] Batch [260]	Speed: 157.83 samples/sec	CrossEntropy=0.756951	SmoothL1=0.349468
Epoch[156] Batch [280]	Speed: 157.19 samples/sec	CrossEntropy=0.763743	SmoothL1=0.360113
Epoch[156] Batch [300]	Speed: 157.99 samples/sec	CrossEntropy=0.749298	SmoothL1=0.358916
Epoch[156] Batch [320]	Speed: 157.69 samples/sec	CrossEntropy=0.746749	SmoothL1=0.329856
Epoch[156] Batch [340]	Speed: 161.23 samples/sec	CrossEntropy=0.752241	SmoothL1=0.336753
Epoch[156] Train-CrossEntropy=0.794003
Epoch[156] Train-SmoothL1=0.327100
Epoch[156] Time cost=105.326
Epoch[156] Validation-aeroplane=0.490205
Epoch[156] Validation-bicycle=0.500786
Epoch[156] Validation-bird=0.235495
Epoch[156] Validation-boat=0.242217
Epoch[156] Validation-bottle=0.100965
Epoch[156] Validation-bus=0.540076
Epoch[156] Validation-car=0.562468
Epoch[156] Validation-cat=0.503143
Epoch[156] Validation-chair=0.235125
Epoch[156] Validation-cow=0.259438
Epoch[156] Validation-diningtable=0.474793
Epoch[156] Validation-dog=0.430874
Epoch[156] Validation-horse=0.581635
Epoch[156] Validation-motorbike=0.559702
Epoch[156] Validation-person=0.528267
Epoch[156] Validation-pottedplant=0.151425
Epoch[156] Validation-sheep=0.376579
Epoch[156] Validation-sofa=0.366118
Epoch[156] Validation-train=0.602156
Epoch[156] Validation-tvmonitor=0.393184
Epoch[156] Validation-mAP=0.406733
Epoch[157] Batch [20]	Speed: 148.49 samples/sec	CrossEntropy=0.750025	SmoothL1=0.359610
Epoch[157] Batch [40]	Speed: 157.79 samples/sec	CrossEntropy=0.749098	SmoothL1=0.344077
Epoch[157] Batch [60]	Speed: 158.87 samples/sec	CrossEntropy=0.759257	SmoothL1=0.349009
Epoch[157] Batch [80]	Speed: 159.44 samples/sec	CrossEntropy=0.750206	SmoothL1=0.340965
Epoch[157] Batch [100]	Speed: 157.77 samples/sec	CrossEntropy=0.764893	SmoothL1=0.350270
Epoch[157] Batch [120]	Speed: 161.99 samples/sec	CrossEntropy=0.752001	SmoothL1=0.359147
Epoch[157] Batch [140]	Speed: 157.41 samples/sec	CrossEntropy=0.736102	SmoothL1=0.334216
Epoch[157] Batch [160]	Speed: 160.23 samples/sec	CrossEntropy=0.750761	SmoothL1=0.344638
Epoch[157] Batch [180]	Speed: 158.39 samples/sec	CrossEntropy=0.749714	SmoothL1=0.349667
Epoch[157] Batch [200]	Speed: 156.28 samples/sec	CrossEntropy=0.750465	SmoothL1=0.330066
Epoch[157] Batch [220]	Speed: 157.19 samples/sec	CrossEntropy=0.748485	SmoothL1=0.340941
Epoch[157] Batch [240]	Speed: 156.82 samples/sec	CrossEntropy=0.772108	SmoothL1=0.354925
Epoch[157] Batch [260]	Speed: 153.76 samples/sec	CrossEntropy=0.763839	SmoothL1=0.371623
Epoch[157] Batch [280]	Speed: 155.41 samples/sec	CrossEntropy=0.742178	SmoothL1=0.354831
Epoch[157] Batch [300]	Speed: 158.01 samples/sec	CrossEntropy=0.741858	SmoothL1=0.351264
Epoch[157] Batch [320]	Speed: 159.55 samples/sec	CrossEntropy=0.741344	SmoothL1=0.332863
Epoch[157] Batch [340]	Speed: 166.44 samples/sec	CrossEntropy=0.753895	SmoothL1=0.344988
Epoch[157] Train-CrossEntropy=0.794962
Epoch[157] Train-SmoothL1=0.369296
Epoch[157] Time cost=104.529
Epoch[157] Validation-aeroplane=0.482881
Epoch[157] Validation-bicycle=0.502296
Epoch[157] Validation-bird=0.223846
Epoch[157] Validation-boat=0.248217
Epoch[157] Validation-bottle=0.099115
Epoch[157] Validation-bus=0.532860
Epoch[157] Validation-car=0.565646
Epoch[157] Validation-cat=0.485291
Epoch[157] Validation-chair=0.225121
Epoch[157] Validation-cow=0.264497
Epoch[157] Validation-diningtable=0.487758
Epoch[157] Validation-dog=0.436687
Epoch[157] Validation-horse=0.575591
Epoch[157] Validation-motorbike=0.561732
Epoch[157] Validation-person=0.531493
Epoch[157] Validation-pottedplant=0.151217
Epoch[157] Validation-sheep=0.363702
Epoch[157] Validation-sofa=0.360642
Epoch[157] Validation-train=0.601705
Epoch[157] Validation-tvmonitor=0.393946
Epoch[157] Validation-mAP=0.404712
Epoch[158] Batch [20]	Speed: 146.15 samples/sec	CrossEntropy=0.747272	SmoothL1=0.349772
Epoch[158] Batch [40]	Speed: 159.34 samples/sec	CrossEntropy=0.753104	SmoothL1=0.345013
Epoch[158] Batch [60]	Speed: 159.50 samples/sec	CrossEntropy=0.751635	SmoothL1=0.343417
Epoch[158] Batch [80]	Speed: 156.84 samples/sec	CrossEntropy=0.763728	SmoothL1=0.348788
Epoch[158] Batch [100]	Speed: 158.61 samples/sec	CrossEntropy=0.759127	SmoothL1=0.341015
Epoch[158] Batch [120]	Speed: 155.02 samples/sec	CrossEntropy=0.746504	SmoothL1=0.356324
Epoch[158] Batch [140]	Speed: 158.60 samples/sec	CrossEntropy=0.739094	SmoothL1=0.348995
Epoch[158] Batch [160]	Speed: 157.76 samples/sec	CrossEntropy=0.758417	SmoothL1=0.346854
Epoch[158] Batch [180]	Speed: 158.06 samples/sec	CrossEntropy=0.745282	SmoothL1=0.335176
Epoch[158] Batch [200]	Speed: 155.24 samples/sec	CrossEntropy=0.746379	SmoothL1=0.342567
Epoch[158] Batch [220]	Speed: 154.05 samples/sec	CrossEntropy=0.757687	SmoothL1=0.342110
Epoch[158] Batch [240]	Speed: 154.59 samples/sec	CrossEntropy=0.747073	SmoothL1=0.336281
Epoch[158] Batch [260]	Speed: 154.67 samples/sec	CrossEntropy=0.757022	SmoothL1=0.352136
Epoch[158] Batch [280]	Speed: 157.68 samples/sec	CrossEntropy=0.738756	SmoothL1=0.353574
Epoch[158] Batch [300]	Speed: 151.64 samples/sec	CrossEntropy=0.766989	SmoothL1=0.358682
Epoch[158] Batch [320]	Speed: 161.06 samples/sec	CrossEntropy=0.740135	SmoothL1=0.336121
Epoch[158] Batch [340]	Speed: 161.18 samples/sec	CrossEntropy=0.762230	SmoothL1=0.341734
Epoch[158] Train-CrossEntropy=0.772647
Epoch[158] Train-SmoothL1=0.330861
Epoch[158] Time cost=106.062
Epoch[158] Validation-aeroplane=0.480127
Epoch[158] Validation-bicycle=0.495438
Epoch[158] Validation-bird=0.221368
Epoch[158] Validation-boat=0.253317
Epoch[158] Validation-bottle=0.099029
Epoch[158] Validation-bus=0.546123
Epoch[158] Validation-car=0.558670
Epoch[158] Validation-cat=0.499229
Epoch[158] Validation-chair=0.237904
Epoch[158] Validation-cow=0.259065
Epoch[158] Validation-diningtable=0.461633
Epoch[158] Validation-dog=0.432688
Epoch[158] Validation-horse=0.554320
Epoch[158] Validation-motorbike=0.558202
Epoch[158] Validation-person=0.525734
Epoch[158] Validation-pottedplant=0.149321
Epoch[158] Validation-sheep=0.368372
Epoch[158] Validation-sofa=0.379610
Epoch[158] Validation-train=0.598609
Epoch[158] Validation-tvmonitor=0.408238
Epoch[158] Validation-mAP=0.404350
Epoch[159] Batch [20]	Speed: 148.53 samples/sec	CrossEntropy=0.745066	SmoothL1=0.355851
Epoch[159] Batch [40]	Speed: 161.18 samples/sec	CrossEntropy=0.751810	SmoothL1=0.347060
Epoch[159] Batch [60]	Speed: 158.35 samples/sec	CrossEntropy=0.752191	SmoothL1=0.354450
Epoch[159] Batch [80]	Speed: 158.08 samples/sec	CrossEntropy=0.747012	SmoothL1=0.354163
Epoch[159] Batch [100]	Speed: 159.56 samples/sec	CrossEntropy=0.750893	SmoothL1=0.341461
Epoch[159] Batch [120]	Speed: 156.88 samples/sec	CrossEntropy=0.734520	SmoothL1=0.341351
Epoch[159] Batch [140]	Speed: 158.04 samples/sec	CrossEntropy=0.750931	SmoothL1=0.348344
Epoch[159] Batch [160]	Speed: 157.54 samples/sec	CrossEntropy=0.751494	SmoothL1=0.346529
Epoch[159] Batch [180]	Speed: 155.60 samples/sec	CrossEntropy=0.751429	SmoothL1=0.343284
Epoch[159] Batch [200]	Speed: 157.81 samples/sec	CrossEntropy=0.745922	SmoothL1=0.342743
Epoch[159] Batch [220]	Speed: 160.52 samples/sec	CrossEntropy=0.743152	SmoothL1=0.342783
Epoch[159] Batch [240]	Speed: 160.26 samples/sec	CrossEntropy=0.758013	SmoothL1=0.340526
Epoch[159] Batch [260]	Speed: 157.34 samples/sec	CrossEntropy=0.741541	SmoothL1=0.348284
Epoch[159] Batch [280]	Speed: 158.87 samples/sec	CrossEntropy=0.746192	SmoothL1=0.353976
Epoch[159] Batch [300]	Speed: 159.35 samples/sec	CrossEntropy=0.761620	SmoothL1=0.363109
Update[17201]: Change learning rate to 4.00000e-05
Epoch[159] Batch [320]	Speed: 157.63 samples/sec	CrossEntropy=0.751970	SmoothL1=0.340912
Epoch[159] Batch [340]	Speed: 161.57 samples/sec	CrossEntropy=0.759025	SmoothL1=0.343009
Epoch[159] Train-CrossEntropy=0.787804
Epoch[159] Train-SmoothL1=0.366006
Epoch[159] Time cost=104.708
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0160.params"
Epoch[159] Validation-aeroplane=0.467460
Epoch[159] Validation-bicycle=0.506351
Epoch[159] Validation-bird=0.231394
Epoch[159] Validation-boat=0.256312
Epoch[159] Validation-bottle=0.100499
Epoch[159] Validation-bus=0.556996
Epoch[159] Validation-car=0.565122
Epoch[159] Validation-cat=0.492092
Epoch[159] Validation-chair=0.235823
Epoch[159] Validation-cow=0.281310
Epoch[159] Validation-diningtable=0.481318
Epoch[159] Validation-dog=0.427678
Epoch[159] Validation-horse=0.572223
Epoch[159] Validation-motorbike=0.571865
Epoch[159] Validation-person=0.530025
Epoch[159] Validation-pottedplant=0.161948
Epoch[159] Validation-sheep=0.379847
Epoch[159] Validation-sofa=0.369844
Epoch[159] Validation-train=0.593028
Epoch[159] Validation-tvmonitor=0.397548
Epoch[159] Validation-mAP=0.408934
Epoch[160] Batch [20]	Speed: 145.43 samples/sec	CrossEntropy=0.754576	SmoothL1=0.350555
Epoch[160] Batch [40]	Speed: 157.70 samples/sec	CrossEntropy=0.740122	SmoothL1=0.329481
Epoch[160] Batch [60]	Speed: 157.76 samples/sec	CrossEntropy=0.759174	SmoothL1=0.334640
Epoch[160] Batch [80]	Speed: 154.05 samples/sec	CrossEntropy=0.753417	SmoothL1=0.342398
Epoch[160] Batch [100]	Speed: 158.95 samples/sec	CrossEntropy=0.761802	SmoothL1=0.344287
Epoch[160] Batch [120]	Speed: 157.31 samples/sec	CrossEntropy=0.731437	SmoothL1=0.346067
Epoch[160] Batch [140]	Speed: 158.70 samples/sec	CrossEntropy=0.738756	SmoothL1=0.331886
Epoch[160] Batch [160]	Speed: 157.70 samples/sec	CrossEntropy=0.760975	SmoothL1=0.341865
Epoch[160] Batch [180]	Speed: 156.62 samples/sec	CrossEntropy=0.736780	SmoothL1=0.336226
Epoch[160] Batch [200]	Speed: 156.92 samples/sec	CrossEntropy=0.737028	SmoothL1=0.337530
Epoch[160] Batch [220]	Speed: 152.79 samples/sec	CrossEntropy=0.753240	SmoothL1=0.339554
Epoch[160] Batch [240]	Speed: 155.95 samples/sec	CrossEntropy=0.756476	SmoothL1=0.339823
Epoch[160] Batch [260]	Speed: 155.57 samples/sec	CrossEntropy=0.741891	SmoothL1=0.341034
Epoch[160] Batch [280]	Speed: 159.67 samples/sec	CrossEntropy=0.759697	SmoothL1=0.342427
Epoch[160] Batch [300]	Speed: 153.45 samples/sec	CrossEntropy=0.760716	SmoothL1=0.344103
Epoch[160] Batch [320]	Speed: 160.08 samples/sec	CrossEntropy=0.723356	SmoothL1=0.320492
Epoch[160] Batch [340]	Speed: 163.49 samples/sec	CrossEntropy=0.747425	SmoothL1=0.337225
Epoch[160] Train-CrossEntropy=0.760725
Epoch[160] Train-SmoothL1=0.340120
Epoch[160] Time cost=105.596
Epoch[160] Validation-aeroplane=0.477096
Epoch[160] Validation-bicycle=0.510323
Epoch[160] Validation-bird=0.228331
Epoch[160] Validation-boat=0.265921
Epoch[160] Validation-bottle=0.101077
Epoch[160] Validation-bus=0.539884
Epoch[160] Validation-car=0.564003
Epoch[160] Validation-cat=0.492973
Epoch[160] Validation-chair=0.232675
Epoch[160] Validation-cow=0.270487
Epoch[160] Validation-diningtable=0.490581
Epoch[160] Validation-dog=0.427819
Epoch[160] Validation-horse=0.575666
Epoch[160] Validation-motorbike=0.571986
Epoch[160] Validation-person=0.532451
Epoch[160] Validation-pottedplant=0.151171
Epoch[160] Validation-sheep=0.373182
Epoch[160] Validation-sofa=0.380163
Epoch[160] Validation-train=0.599217
Epoch[160] Validation-tvmonitor=0.396399
Epoch[160] Validation-mAP=0.409070
Epoch[161] Batch [20]	Speed: 150.21 samples/sec	CrossEntropy=0.755624	SmoothL1=0.354097
Epoch[161] Batch [40]	Speed: 157.01 samples/sec	CrossEntropy=0.742876	SmoothL1=0.340983
Epoch[161] Batch [60]	Speed: 158.21 samples/sec	CrossEntropy=0.736060	SmoothL1=0.330586
Epoch[161] Batch [80]	Speed: 156.29 samples/sec	CrossEntropy=0.753153	SmoothL1=0.345612
Epoch[161] Batch [100]	Speed: 157.48 samples/sec	CrossEntropy=0.752931	SmoothL1=0.336023
Epoch[161] Batch [120]	Speed: 158.65 samples/sec	CrossEntropy=0.747409	SmoothL1=0.352545
Epoch[161] Batch [140]	Speed: 154.96 samples/sec	CrossEntropy=0.743112	SmoothL1=0.350159
Epoch[161] Batch [160]	Speed: 157.00 samples/sec	CrossEntropy=0.755709	SmoothL1=0.347463
Epoch[161] Batch [180]	Speed: 159.74 samples/sec	CrossEntropy=0.742785	SmoothL1=0.336134
Epoch[161] Batch [200]	Speed: 158.05 samples/sec	CrossEntropy=0.743506	SmoothL1=0.342785
Epoch[161] Batch [220]	Speed: 158.71 samples/sec	CrossEntropy=0.731511	SmoothL1=0.327523
Epoch[161] Batch [240]	Speed: 158.75 samples/sec	CrossEntropy=0.743947	SmoothL1=0.337222
Epoch[161] Batch [260]	Speed: 155.73 samples/sec	CrossEntropy=0.740180	SmoothL1=0.346236
Epoch[161] Batch [280]	Speed: 157.41 samples/sec	CrossEntropy=0.737616	SmoothL1=0.347342
Epoch[161] Batch [300]	Speed: 154.94 samples/sec	CrossEntropy=0.748015	SmoothL1=0.358456
Epoch[161] Batch [320]	Speed: 159.34 samples/sec	CrossEntropy=0.747921	SmoothL1=0.329324
Epoch[161] Batch [340]	Speed: 162.64 samples/sec	CrossEntropy=0.749926	SmoothL1=0.339760
Epoch[161] Train-CrossEntropy=0.737802
Epoch[161] Train-SmoothL1=0.349179
Epoch[161] Time cost=105.125
Epoch[161] Validation-aeroplane=0.478989
Epoch[161] Validation-bicycle=0.514798
Epoch[161] Validation-bird=0.225732
Epoch[161] Validation-boat=0.243790
Epoch[161] Validation-bottle=0.100154
Epoch[161] Validation-bus=0.535969
Epoch[161] Validation-car=0.564610
Epoch[161] Validation-cat=0.494191
Epoch[161] Validation-chair=0.238964
Epoch[161] Validation-cow=0.268675
Epoch[161] Validation-diningtable=0.485079
Epoch[161] Validation-dog=0.429980
Epoch[161] Validation-horse=0.589269
Epoch[161] Validation-motorbike=0.576007
Epoch[161] Validation-person=0.537718
Epoch[161] Validation-pottedplant=0.151568
Epoch[161] Validation-sheep=0.373907
Epoch[161] Validation-sofa=0.396726
Epoch[161] Validation-train=0.606078
Epoch[161] Validation-tvmonitor=0.402808
Epoch[161] Validation-mAP=0.410751
Epoch[162] Batch [20]	Speed: 148.57 samples/sec	CrossEntropy=0.738796	SmoothL1=0.351708
Epoch[162] Batch [40]	Speed: 158.42 samples/sec	CrossEntropy=0.742217	SmoothL1=0.348502
Epoch[162] Batch [60]	Speed: 155.56 samples/sec	CrossEntropy=0.757607	SmoothL1=0.341651
Epoch[162] Batch [80]	Speed: 159.82 samples/sec	CrossEntropy=0.744288	SmoothL1=0.345473
Epoch[162] Batch [100]	Speed: 156.04 samples/sec	CrossEntropy=0.744772	SmoothL1=0.337496
Epoch[162] Batch [120]	Speed: 157.06 samples/sec	CrossEntropy=0.745422	SmoothL1=0.350569
Epoch[162] Batch [140]	Speed: 157.77 samples/sec	CrossEntropy=0.733740	SmoothL1=0.343353
Epoch[162] Batch [160]	Speed: 157.45 samples/sec	CrossEntropy=0.747219	SmoothL1=0.335410
Epoch[162] Batch [180]	Speed: 160.08 samples/sec	CrossEntropy=0.732696	SmoothL1=0.339281
Epoch[162] Batch [200]	Speed: 155.44 samples/sec	CrossEntropy=0.738734	SmoothL1=0.333069
Epoch[162] Batch [220]	Speed: 156.47 samples/sec	CrossEntropy=0.739182	SmoothL1=0.331501
Epoch[162] Batch [240]	Speed: 159.88 samples/sec	CrossEntropy=0.745953	SmoothL1=0.346064
Epoch[162] Batch [260]	Speed: 155.68 samples/sec	CrossEntropy=0.744595	SmoothL1=0.339950
Epoch[162] Batch [280]	Speed: 156.55 samples/sec	CrossEntropy=0.749796	SmoothL1=0.349545
Epoch[162] Batch [300]	Speed: 158.91 samples/sec	CrossEntropy=0.754771	SmoothL1=0.355666
Epoch[162] Batch [320]	Speed: 154.12 samples/sec	CrossEntropy=0.743995	SmoothL1=0.329739
Epoch[162] Batch [340]	Speed: 161.28 samples/sec	CrossEntropy=0.755594	SmoothL1=0.344080
Epoch[162] Train-CrossEntropy=0.767482
Epoch[162] Train-SmoothL1=0.350405
Epoch[162] Time cost=105.300
Epoch[162] Validation-aeroplane=0.483650
Epoch[162] Validation-bicycle=0.512248
Epoch[162] Validation-bird=0.228264
Epoch[162] Validation-boat=0.257736
Epoch[162] Validation-bottle=0.101358
Epoch[162] Validation-bus=0.546583
Epoch[162] Validation-car=0.568743
Epoch[162] Validation-cat=0.500600
Epoch[162] Validation-chair=0.234364
Epoch[162] Validation-cow=0.279919
Epoch[162] Validation-diningtable=0.490833
Epoch[162] Validation-dog=0.429209
Epoch[162] Validation-horse=0.580603
Epoch[162] Validation-motorbike=0.581579
Epoch[162] Validation-person=0.538604
Epoch[162] Validation-pottedplant=0.151592
Epoch[162] Validation-sheep=0.373193
Epoch[162] Validation-sofa=0.386876
Epoch[162] Validation-train=0.610576
Epoch[162] Validation-tvmonitor=0.401758
Epoch[162] Validation-mAP=0.412915
Epoch[163] Batch [20]	Speed: 142.64 samples/sec	CrossEntropy=0.750884	SmoothL1=0.349742
Epoch[163] Batch [40]	Speed: 155.03 samples/sec	CrossEntropy=0.738891	SmoothL1=0.337340
Epoch[163] Batch [60]	Speed: 157.46 samples/sec	CrossEntropy=0.752797	SmoothL1=0.344223
Epoch[163] Batch [80]	Speed: 158.23 samples/sec	CrossEntropy=0.764078	SmoothL1=0.346430
Epoch[163] Batch [100]	Speed: 161.44 samples/sec	CrossEntropy=0.745541	SmoothL1=0.331576
Epoch[163] Batch [120]	Speed: 156.20 samples/sec	CrossEntropy=0.740796	SmoothL1=0.350782
Epoch[163] Batch [140]	Speed: 158.15 samples/sec	CrossEntropy=0.748433	SmoothL1=0.329676
Epoch[163] Batch [160]	Speed: 156.63 samples/sec	CrossEntropy=0.749571	SmoothL1=0.341284
Epoch[163] Batch [180]	Speed: 153.12 samples/sec	CrossEntropy=0.735456	SmoothL1=0.355931
Epoch[163] Batch [200]	Speed: 156.07 samples/sec	CrossEntropy=0.736867	SmoothL1=0.338533
Epoch[163] Batch [220]	Speed: 153.44 samples/sec	CrossEntropy=0.745756	SmoothL1=0.336632
Epoch[163] Batch [240]	Speed: 156.98 samples/sec	CrossEntropy=0.749087	SmoothL1=0.342361
Epoch[163] Batch [260]	Speed: 155.19 samples/sec	CrossEntropy=0.745770	SmoothL1=0.358615
Epoch[163] Batch [280]	Speed: 154.37 samples/sec	CrossEntropy=0.749018	SmoothL1=0.352894
Epoch[163] Batch [300]	Speed: 158.14 samples/sec	CrossEntropy=0.750986	SmoothL1=0.349346
Epoch[163] Batch [320]	Speed: 156.88 samples/sec	CrossEntropy=0.720340	SmoothL1=0.327904
Epoch[163] Batch [340]	Speed: 158.57 samples/sec	CrossEntropy=0.762727	SmoothL1=0.329148
Epoch[163] Train-CrossEntropy=0.758530
Epoch[163] Train-SmoothL1=0.304354
Epoch[163] Time cost=105.933
Epoch[163] Validation-aeroplane=0.484277
Epoch[163] Validation-bicycle=0.505720
Epoch[163] Validation-bird=0.225886
Epoch[163] Validation-boat=0.265931
Epoch[163] Validation-bottle=0.101757
Epoch[163] Validation-bus=0.532995
Epoch[163] Validation-car=0.564825
Epoch[163] Validation-cat=0.494581
Epoch[163] Validation-chair=0.235524
Epoch[163] Validation-cow=0.267731
Epoch[163] Validation-diningtable=0.492538
Epoch[163] Validation-dog=0.427096
Epoch[163] Validation-horse=0.562439
Epoch[163] Validation-motorbike=0.579019
Epoch[163] Validation-person=0.538606
Epoch[163] Validation-pottedplant=0.151272
Epoch[163] Validation-sheep=0.375001
Epoch[163] Validation-sofa=0.401247
Epoch[163] Validation-train=0.613197
Epoch[163] Validation-tvmonitor=0.401964
Epoch[163] Validation-mAP=0.411080
Epoch[164] Batch [20]	Speed: 146.53 samples/sec	CrossEntropy=0.751622	SmoothL1=0.352502
Epoch[164] Batch [40]	Speed: 153.53 samples/sec	CrossEntropy=0.732126	SmoothL1=0.325070
Epoch[164] Batch [60]	Speed: 149.87 samples/sec	CrossEntropy=0.745196	SmoothL1=0.349147
Epoch[164] Batch [80]	Speed: 160.70 samples/sec	CrossEntropy=0.758765	SmoothL1=0.361452
Epoch[164] Batch [100]	Speed: 159.68 samples/sec	CrossEntropy=0.742243	SmoothL1=0.334797
Epoch[164] Batch [120]	Speed: 155.03 samples/sec	CrossEntropy=0.749480	SmoothL1=0.354728
Epoch[164] Batch [140]	Speed: 155.03 samples/sec	CrossEntropy=0.754619	SmoothL1=0.351853
Epoch[164] Batch [160]	Speed: 154.96 samples/sec	CrossEntropy=0.761085	SmoothL1=0.340121
Epoch[164] Batch [180]	Speed: 159.90 samples/sec	CrossEntropy=0.732384	SmoothL1=0.329000
Epoch[164] Batch [200]	Speed: 151.25 samples/sec	CrossEntropy=0.748714	SmoothL1=0.330227
Epoch[164] Batch [220]	Speed: 158.20 samples/sec	CrossEntropy=0.728986	SmoothL1=0.326885
Epoch[164] Batch [240]	Speed: 153.87 samples/sec	CrossEntropy=0.748159	SmoothL1=0.341345
Epoch[164] Batch [260]	Speed: 158.66 samples/sec	CrossEntropy=0.755528	SmoothL1=0.356273
Epoch[164] Batch [280]	Speed: 149.50 samples/sec	CrossEntropy=0.751739	SmoothL1=0.347025
Epoch[164] Batch [300]	Speed: 156.56 samples/sec	CrossEntropy=0.744299	SmoothL1=0.344913
Epoch[164] Batch [320]	Speed: 156.46 samples/sec	CrossEntropy=0.738667	SmoothL1=0.334961
Epoch[164] Batch [340]	Speed: 161.18 samples/sec	CrossEntropy=0.769048	SmoothL1=0.329904
Epoch[164] Train-CrossEntropy=0.715312
Epoch[164] Train-SmoothL1=0.313320
Epoch[164] Time cost=106.468
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0165.params"
Epoch[164] Validation-aeroplane=0.484953
Epoch[164] Validation-bicycle=0.518536
Epoch[164] Validation-bird=0.226618
Epoch[164] Validation-boat=0.271325
Epoch[164] Validation-bottle=0.101033
Epoch[164] Validation-bus=0.540501
Epoch[164] Validation-car=0.568345
Epoch[164] Validation-cat=0.498618
Epoch[164] Validation-chair=0.238422
Epoch[164] Validation-cow=0.254837
Epoch[164] Validation-diningtable=0.488754
Epoch[164] Validation-dog=0.428847
Epoch[164] Validation-horse=0.582145
Epoch[164] Validation-motorbike=0.581624
Epoch[164] Validation-person=0.536234
Epoch[164] Validation-pottedplant=0.153728
Epoch[164] Validation-sheep=0.376067
Epoch[164] Validation-sofa=0.400759
Epoch[164] Validation-train=0.617668
Epoch[164] Validation-tvmonitor=0.399888
Epoch[164] Validation-mAP=0.413445
Epoch[165] Batch [20]	Speed: 145.69 samples/sec	CrossEntropy=0.750263	SmoothL1=0.356392
Epoch[165] Batch [40]	Speed: 157.86 samples/sec	CrossEntropy=0.744580	SmoothL1=0.338426
Epoch[165] Batch [60]	Speed: 158.78 samples/sec	CrossEntropy=0.763249	SmoothL1=0.353990
Epoch[165] Batch [80]	Speed: 159.92 samples/sec	CrossEntropy=0.738982	SmoothL1=0.335528
Epoch[165] Batch [100]	Speed: 160.72 samples/sec	CrossEntropy=0.749355	SmoothL1=0.342673
Epoch[165] Batch [120]	Speed: 156.89 samples/sec	CrossEntropy=0.735363	SmoothL1=0.352230
Epoch[165] Batch [140]	Speed: 157.46 samples/sec	CrossEntropy=0.743324	SmoothL1=0.345163
Epoch[165] Batch [160]	Speed: 157.29 samples/sec	CrossEntropy=0.750034	SmoothL1=0.347141
Epoch[165] Batch [180]	Speed: 159.23 samples/sec	CrossEntropy=0.736517	SmoothL1=0.333069
Epoch[165] Batch [200]	Speed: 157.70 samples/sec	CrossEntropy=0.729710	SmoothL1=0.326528
Epoch[165] Batch [220]	Speed: 161.84 samples/sec	CrossEntropy=0.741994	SmoothL1=0.331449
Epoch[165] Batch [240]	Speed: 159.27 samples/sec	CrossEntropy=0.745465	SmoothL1=0.338784
Epoch[165] Batch [260]	Speed: 158.32 samples/sec	CrossEntropy=0.752679	SmoothL1=0.358638
Epoch[165] Batch [280]	Speed: 159.40 samples/sec	CrossEntropy=0.751137	SmoothL1=0.357477
Epoch[165] Batch [300]	Speed: 161.05 samples/sec	CrossEntropy=0.744238	SmoothL1=0.342962
Epoch[165] Batch [320]	Speed: 160.80 samples/sec	CrossEntropy=0.737511	SmoothL1=0.324953
Epoch[165] Batch [340]	Speed: 162.66 samples/sec	CrossEntropy=0.753447	SmoothL1=0.338014
Epoch[165] Train-CrossEntropy=0.789542
Epoch[165] Train-SmoothL1=0.360476
Epoch[165] Time cost=104.312
Epoch[165] Validation-aeroplane=0.477515
Epoch[165] Validation-bicycle=0.504145
Epoch[165] Validation-bird=0.228634
Epoch[165] Validation-boat=0.253958
Epoch[165] Validation-bottle=0.101818
Epoch[165] Validation-bus=0.542099
Epoch[165] Validation-car=0.567863
Epoch[165] Validation-cat=0.497877
Epoch[165] Validation-chair=0.237396
Epoch[165] Validation-cow=0.269258
Epoch[165] Validation-diningtable=0.492582
Epoch[165] Validation-dog=0.433180
Epoch[165] Validation-horse=0.587733
Epoch[165] Validation-motorbike=0.579833
Epoch[165] Validation-person=0.535509
Epoch[165] Validation-pottedplant=0.151182
Epoch[165] Validation-sheep=0.377470
Epoch[165] Validation-sofa=0.390868
Epoch[165] Validation-train=0.608443
Epoch[165] Validation-tvmonitor=0.398932
Epoch[165] Validation-mAP=0.411815
Epoch[166] Batch [20]	Speed: 151.87 samples/sec	CrossEntropy=0.745669	SmoothL1=0.350895
Epoch[166] Batch [40]	Speed: 154.76 samples/sec	CrossEntropy=0.743893	SmoothL1=0.348105
Epoch[166] Batch [60]	Speed: 154.31 samples/sec	CrossEntropy=0.749662	SmoothL1=0.349786
Epoch[166] Batch [80]	Speed: 158.42 samples/sec	CrossEntropy=0.772878	SmoothL1=0.363977
Epoch[166] Batch [100]	Speed: 156.77 samples/sec	CrossEntropy=0.757273	SmoothL1=0.334964
Epoch[166] Batch [120]	Speed: 157.62 samples/sec	CrossEntropy=0.741229	SmoothL1=0.354804
Epoch[166] Batch [140]	Speed: 157.61 samples/sec	CrossEntropy=0.743960	SmoothL1=0.336636
Epoch[166] Batch [160]	Speed: 156.15 samples/sec	CrossEntropy=0.756000	SmoothL1=0.347818
Epoch[166] Batch [180]	Speed: 157.20 samples/sec	CrossEntropy=0.728011	SmoothL1=0.349647
Epoch[166] Batch [200]	Speed: 158.34 samples/sec	CrossEntropy=0.745335	SmoothL1=0.320836
Epoch[166] Batch [220]	Speed: 158.65 samples/sec	CrossEntropy=0.743928	SmoothL1=0.342300
Epoch[166] Batch [240]	Speed: 160.16 samples/sec	CrossEntropy=0.745200	SmoothL1=0.339794
Epoch[166] Batch [260]	Speed: 159.47 samples/sec	CrossEntropy=0.749720	SmoothL1=0.342490
Epoch[166] Batch [280]	Speed: 156.98 samples/sec	CrossEntropy=0.762245	SmoothL1=0.360377
Epoch[166] Batch [300]	Speed: 159.57 samples/sec	CrossEntropy=0.756557	SmoothL1=0.361724
Epoch[166] Batch [320]	Speed: 158.65 samples/sec	CrossEntropy=0.729641	SmoothL1=0.327134
Epoch[166] Batch [340]	Speed: 160.49 samples/sec	CrossEntropy=0.753587	SmoothL1=0.352644
Epoch[166] Train-CrossEntropy=0.779923
Epoch[166] Train-SmoothL1=0.331776
Epoch[166] Time cost=104.968
Epoch[166] Validation-aeroplane=0.477535
Epoch[166] Validation-bicycle=0.514404
Epoch[166] Validation-bird=0.229077
Epoch[166] Validation-boat=0.269923
Epoch[166] Validation-bottle=0.101032
Epoch[166] Validation-bus=0.539662
Epoch[166] Validation-car=0.567599
Epoch[166] Validation-cat=0.496020
Epoch[166] Validation-chair=0.232220
Epoch[166] Validation-cow=0.273695
Epoch[166] Validation-diningtable=0.485117
Epoch[166] Validation-dog=0.438958
Epoch[166] Validation-horse=0.580684
Epoch[166] Validation-motorbike=0.580684
Epoch[166] Validation-person=0.534260
Epoch[166] Validation-pottedplant=0.150339
Epoch[166] Validation-sheep=0.368375
Epoch[166] Validation-sofa=0.396615
Epoch[166] Validation-train=0.602643
Epoch[166] Validation-tvmonitor=0.403199
Epoch[166] Validation-mAP=0.412102
Epoch[167] Batch [20]	Speed: 150.48 samples/sec	CrossEntropy=0.743752	SmoothL1=0.361546
Epoch[167] Batch [40]	Speed: 153.38 samples/sec	CrossEntropy=0.748088	SmoothL1=0.342803
Epoch[167] Batch [60]	Speed: 156.34 samples/sec	CrossEntropy=0.754751	SmoothL1=0.347321
Epoch[167] Batch [80]	Speed: 159.99 samples/sec	CrossEntropy=0.732844	SmoothL1=0.343716
Epoch[167] Batch [100]	Speed: 154.07 samples/sec	CrossEntropy=0.751366	SmoothL1=0.336611
Epoch[167] Batch [120]	Speed: 160.81 samples/sec	CrossEntropy=0.751418	SmoothL1=0.354873
Epoch[167] Batch [140]	Speed: 159.85 samples/sec	CrossEntropy=0.728442	SmoothL1=0.328604
Epoch[167] Batch [160]	Speed: 158.50 samples/sec	CrossEntropy=0.748491	SmoothL1=0.352515
Epoch[167] Batch [180]	Speed: 156.86 samples/sec	CrossEntropy=0.747284	SmoothL1=0.351838
Epoch[167] Batch [200]	Speed: 159.52 samples/sec	CrossEntropy=0.743760	SmoothL1=0.329261
Epoch[167] Batch [220]	Speed: 159.44 samples/sec	CrossEntropy=0.743486	SmoothL1=0.328094
Epoch[167] Batch [240]	Speed: 158.04 samples/sec	CrossEntropy=0.757641	SmoothL1=0.343206
Epoch[167] Batch [260]	Speed: 160.76 samples/sec	CrossEntropy=0.752232	SmoothL1=0.348321
Epoch[167] Batch [280]	Speed: 161.30 samples/sec	CrossEntropy=0.753720	SmoothL1=0.362498
Epoch[167] Batch [300]	Speed: 157.18 samples/sec	CrossEntropy=0.750977	SmoothL1=0.348266
Epoch[167] Batch [320]	Speed: 159.36 samples/sec	CrossEntropy=0.732423	SmoothL1=0.331377
Epoch[167] Batch [340]	Speed: 161.57 samples/sec	CrossEntropy=0.754341	SmoothL1=0.338182
Epoch[167] Train-CrossEntropy=0.735385
Epoch[167] Train-SmoothL1=0.373518
Epoch[167] Time cost=104.670
Epoch[167] Validation-aeroplane=0.480880
Epoch[167] Validation-bicycle=0.498898
Epoch[167] Validation-bird=0.225204
Epoch[167] Validation-boat=0.265321
Epoch[167] Validation-bottle=0.100596
Epoch[167] Validation-bus=0.543812
Epoch[167] Validation-car=0.570410
Epoch[167] Validation-cat=0.501158
Epoch[167] Validation-chair=0.235995
Epoch[167] Validation-cow=0.274107
Epoch[167] Validation-diningtable=0.497339
Epoch[167] Validation-dog=0.433700
Epoch[167] Validation-horse=0.585886
Epoch[167] Validation-motorbike=0.581679
Epoch[167] Validation-person=0.534223
Epoch[167] Validation-pottedplant=0.152167
Epoch[167] Validation-sheep=0.376178
Epoch[167] Validation-sofa=0.381378
Epoch[167] Validation-train=0.605476
Epoch[167] Validation-tvmonitor=0.407164
Epoch[167] Validation-mAP=0.412579
Epoch[168] Batch [20]	Speed: 147.83 samples/sec	CrossEntropy=0.750507	SmoothL1=0.347312
Epoch[168] Batch [40]	Speed: 156.78 samples/sec	CrossEntropy=0.734489	SmoothL1=0.338172
Epoch[168] Batch [60]	Speed: 157.86 samples/sec	CrossEntropy=0.744406	SmoothL1=0.337372
Epoch[168] Batch [80]	Speed: 160.57 samples/sec	CrossEntropy=0.747092	SmoothL1=0.350683
Epoch[168] Batch [100]	Speed: 155.56 samples/sec	CrossEntropy=0.749848	SmoothL1=0.333090
Epoch[168] Batch [120]	Speed: 156.39 samples/sec	CrossEntropy=0.746044	SmoothL1=0.347037
Epoch[168] Batch [140]	Speed: 156.80 samples/sec	CrossEntropy=0.734621	SmoothL1=0.334136
Epoch[168] Batch [160]	Speed: 159.46 samples/sec	CrossEntropy=0.755403	SmoothL1=0.324422
Epoch[168] Batch [180]	Speed: 155.09 samples/sec	CrossEntropy=0.726028	SmoothL1=0.342075
Epoch[168] Batch [200]	Speed: 153.66 samples/sec	CrossEntropy=0.737549	SmoothL1=0.330003
Epoch[168] Batch [220]	Speed: 156.98 samples/sec	CrossEntropy=0.740346	SmoothL1=0.340970
Epoch[168] Batch [240]	Speed: 155.37 samples/sec	CrossEntropy=0.755706	SmoothL1=0.345757
Epoch[168] Batch [260]	Speed: 157.73 samples/sec	CrossEntropy=0.738535	SmoothL1=0.349386
Epoch[168] Batch [280]	Speed: 149.50 samples/sec	CrossEntropy=0.754260	SmoothL1=0.354968
Epoch[168] Batch [300]	Speed: 161.05 samples/sec	CrossEntropy=0.741316	SmoothL1=0.348922
Epoch[168] Batch [320]	Speed: 157.07 samples/sec	CrossEntropy=0.737050	SmoothL1=0.316960
Epoch[168] Batch [340]	Speed: 162.93 samples/sec	CrossEntropy=0.743471	SmoothL1=0.345381
Epoch[168] Train-CrossEntropy=0.792266
Epoch[168] Train-SmoothL1=0.324132
Epoch[168] Time cost=105.352
Epoch[168] Validation-aeroplane=0.484895
Epoch[168] Validation-bicycle=0.499685
Epoch[168] Validation-bird=0.230737
Epoch[168] Validation-boat=0.257900
Epoch[168] Validation-bottle=0.100722
Epoch[168] Validation-bus=0.539716
Epoch[168] Validation-car=0.568213
Epoch[168] Validation-cat=0.502770
Epoch[168] Validation-chair=0.236567
Epoch[168] Validation-cow=0.269298
Epoch[168] Validation-diningtable=0.485595
Epoch[168] Validation-dog=0.433236
Epoch[168] Validation-horse=0.584655
Epoch[168] Validation-motorbike=0.576271
Epoch[168] Validation-person=0.533831
Epoch[168] Validation-pottedplant=0.150785
Epoch[168] Validation-sheep=0.380183
Epoch[168] Validation-sofa=0.392288
Epoch[168] Validation-train=0.610284
Epoch[168] Validation-tvmonitor=0.406435
Epoch[168] Validation-mAP=0.412203
Epoch[169] Batch [20]	Speed: 147.06 samples/sec	CrossEntropy=0.749544	SmoothL1=0.352541
Epoch[169] Batch [40]	Speed: 157.38 samples/sec	CrossEntropy=0.742710	SmoothL1=0.345534
Epoch[169] Batch [60]	Speed: 157.39 samples/sec	CrossEntropy=0.754606	SmoothL1=0.340862
Epoch[169] Batch [80]	Speed: 158.12 samples/sec	CrossEntropy=0.745715	SmoothL1=0.348258
Epoch[169] Batch [100]	Speed: 159.87 samples/sec	CrossEntropy=0.750136	SmoothL1=0.341485
Epoch[169] Batch [120]	Speed: 157.20 samples/sec	CrossEntropy=0.742247	SmoothL1=0.363940
Epoch[169] Batch [140]	Speed: 153.65 samples/sec	CrossEntropy=0.720376	SmoothL1=0.344941
Epoch[169] Batch [160]	Speed: 155.55 samples/sec	CrossEntropy=0.749883	SmoothL1=0.341486
Epoch[169] Batch [180]	Speed: 157.36 samples/sec	CrossEntropy=0.729105	SmoothL1=0.344358
Epoch[169] Batch [200]	Speed: 158.03 samples/sec	CrossEntropy=0.739214	SmoothL1=0.328756
Epoch[169] Batch [220]	Speed: 157.54 samples/sec	CrossEntropy=0.749602	SmoothL1=0.343746
Epoch[169] Batch [240]	Speed: 155.69 samples/sec	CrossEntropy=0.760498	SmoothL1=0.352054
Epoch[169] Batch [260]	Speed: 157.10 samples/sec	CrossEntropy=0.753586	SmoothL1=0.354639
Epoch[169] Batch [280]	Speed: 160.03 samples/sec	CrossEntropy=0.761503	SmoothL1=0.363593
Epoch[169] Batch [300]	Speed: 158.37 samples/sec	CrossEntropy=0.748129	SmoothL1=0.346881
Epoch[169] Batch [320]	Speed: 157.68 samples/sec	CrossEntropy=0.731759	SmoothL1=0.331537
Epoch[169] Batch [340]	Speed: 163.66 samples/sec	CrossEntropy=0.752265	SmoothL1=0.345931
Epoch[169] Train-CrossEntropy=0.777673
Epoch[169] Train-SmoothL1=0.345712
Epoch[169] Time cost=105.285
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0170.params"
Epoch[169] Validation-aeroplane=0.483001
Epoch[169] Validation-bicycle=0.513910
Epoch[169] Validation-bird=0.225873
Epoch[169] Validation-boat=0.269654
Epoch[169] Validation-bottle=0.101077
Epoch[169] Validation-bus=0.540424
Epoch[169] Validation-car=0.569220
Epoch[169] Validation-cat=0.497262
Epoch[169] Validation-chair=0.239237
Epoch[169] Validation-cow=0.267743
Epoch[169] Validation-diningtable=0.486426
Epoch[169] Validation-dog=0.431668
Epoch[169] Validation-horse=0.577830
Epoch[169] Validation-motorbike=0.573292
Epoch[169] Validation-person=0.535762
Epoch[169] Validation-pottedplant=0.150686
Epoch[169] Validation-sheep=0.370234
Epoch[169] Validation-sofa=0.384975
Epoch[169] Validation-train=0.608183
Epoch[169] Validation-tvmonitor=0.408045
Epoch[169] Validation-mAP=0.411725
Epoch[170] Batch [20]	Speed: 153.80 samples/sec	CrossEntropy=0.746971	SmoothL1=0.355449
Epoch[170] Batch [40]	Speed: 160.47 samples/sec	CrossEntropy=0.734160	SmoothL1=0.344969
Epoch[170] Batch [60]	Speed: 156.14 samples/sec	CrossEntropy=0.755362	SmoothL1=0.346286
Epoch[170] Batch [80]	Speed: 156.17 samples/sec	CrossEntropy=0.752892	SmoothL1=0.356181
Epoch[170] Batch [100]	Speed: 158.31 samples/sec	CrossEntropy=0.745789	SmoothL1=0.334548
Epoch[170] Batch [120]	Speed: 157.80 samples/sec	CrossEntropy=0.749029	SmoothL1=0.357695
Epoch[170] Batch [140]	Speed: 156.51 samples/sec	CrossEntropy=0.717528	SmoothL1=0.339135
Epoch[170] Batch [160]	Speed: 156.52 samples/sec	CrossEntropy=0.759910	SmoothL1=0.331325
Epoch[170] Batch [180]	Speed: 156.81 samples/sec	CrossEntropy=0.740127	SmoothL1=0.347138
Epoch[170] Batch [200]	Speed: 157.21 samples/sec	CrossEntropy=0.734703	SmoothL1=0.328278
Epoch[170] Batch [220]	Speed: 159.07 samples/sec	CrossEntropy=0.730512	SmoothL1=0.327939
Epoch[170] Batch [240]	Speed: 157.80 samples/sec	CrossEntropy=0.749403	SmoothL1=0.347694
Epoch[170] Batch [260]	Speed: 156.23 samples/sec	CrossEntropy=0.746864	SmoothL1=0.348196
Epoch[170] Batch [280]	Speed: 153.39 samples/sec	CrossEntropy=0.754062	SmoothL1=0.360211
Epoch[170] Batch [300]	Speed: 160.13 samples/sec	CrossEntropy=0.747268	SmoothL1=0.355625
Epoch[170] Batch [320]	Speed: 156.84 samples/sec	CrossEntropy=0.729553	SmoothL1=0.334902
Epoch[170] Batch [340]	Speed: 164.19 samples/sec	CrossEntropy=0.746828	SmoothL1=0.328919
Epoch[170] Train-CrossEntropy=0.770063
Epoch[170] Train-SmoothL1=0.328382
Epoch[170] Time cost=105.030
Epoch[170] Validation-aeroplane=0.487522
Epoch[170] Validation-bicycle=0.507338
Epoch[170] Validation-bird=0.231756
Epoch[170] Validation-boat=0.272045
Epoch[170] Validation-bottle=0.099892
Epoch[170] Validation-bus=0.541492
Epoch[170] Validation-car=0.572200
Epoch[170] Validation-cat=0.498633
Epoch[170] Validation-chair=0.237290
Epoch[170] Validation-cow=0.256261
Epoch[170] Validation-diningtable=0.486830
Epoch[170] Validation-dog=0.426084
Epoch[170] Validation-horse=0.575134
Epoch[170] Validation-motorbike=0.569852
Epoch[170] Validation-person=0.535492
Epoch[170] Validation-pottedplant=0.152825
Epoch[170] Validation-sheep=0.373190
Epoch[170] Validation-sofa=0.395328
Epoch[170] Validation-train=0.612973
Epoch[170] Validation-tvmonitor=0.407286
Epoch[170] Validation-mAP=0.411971
Epoch[171] Batch [20]	Speed: 149.61 samples/sec	CrossEntropy=0.747177	SmoothL1=0.344660
Epoch[171] Batch [40]	Speed: 157.53 samples/sec	CrossEntropy=0.742666	SmoothL1=0.350223
Epoch[171] Batch [60]	Speed: 157.62 samples/sec	CrossEntropy=0.751885	SmoothL1=0.337819
Epoch[171] Batch [80]	Speed: 159.25 samples/sec	CrossEntropy=0.748862	SmoothL1=0.339547
Epoch[171] Batch [100]	Speed: 158.04 samples/sec	CrossEntropy=0.750256	SmoothL1=0.338268
Epoch[171] Batch [120]	Speed: 156.39 samples/sec	CrossEntropy=0.745706	SmoothL1=0.356948
Epoch[171] Batch [140]	Speed: 155.61 samples/sec	CrossEntropy=0.735788	SmoothL1=0.347684
Epoch[171] Batch [160]	Speed: 159.98 samples/sec	CrossEntropy=0.752504	SmoothL1=0.331465
Epoch[171] Batch [180]	Speed: 158.47 samples/sec	CrossEntropy=0.733328	SmoothL1=0.345035
Epoch[171] Batch [200]	Speed: 156.42 samples/sec	CrossEntropy=0.728659	SmoothL1=0.317722
Epoch[171] Batch [220]	Speed: 155.74 samples/sec	CrossEntropy=0.748236	SmoothL1=0.332675
Epoch[171] Batch [240]	Speed: 156.54 samples/sec	CrossEntropy=0.753030	SmoothL1=0.346446
Epoch[171] Batch [260]	Speed: 156.26 samples/sec	CrossEntropy=0.743244	SmoothL1=0.355696
Epoch[171] Batch [280]	Speed: 158.66 samples/sec	CrossEntropy=0.741841	SmoothL1=0.346774
Epoch[171] Batch [300]	Speed: 159.34 samples/sec	CrossEntropy=0.737784	SmoothL1=0.345056
Epoch[171] Batch [320]	Speed: 157.83 samples/sec	CrossEntropy=0.746904	SmoothL1=0.340850
Epoch[171] Batch [340]	Speed: 159.99 samples/sec	CrossEntropy=0.749541	SmoothL1=0.339989
Epoch[171] Train-CrossEntropy=0.760918
Epoch[171] Train-SmoothL1=0.337816
Epoch[171] Time cost=105.144
Epoch[171] Validation-aeroplane=0.481589
Epoch[171] Validation-bicycle=0.515111
Epoch[171] Validation-bird=0.231341
Epoch[171] Validation-boat=0.259892
Epoch[171] Validation-bottle=0.101680
Epoch[171] Validation-bus=0.539498
Epoch[171] Validation-car=0.569551
Epoch[171] Validation-cat=0.496326
Epoch[171] Validation-chair=0.237570
Epoch[171] Validation-cow=0.261765
Epoch[171] Validation-diningtable=0.494594
Epoch[171] Validation-dog=0.428762
Epoch[171] Validation-horse=0.574790
Epoch[171] Validation-motorbike=0.577963
Epoch[171] Validation-person=0.534839
Epoch[171] Validation-pottedplant=0.152209
Epoch[171] Validation-sheep=0.373880
Epoch[171] Validation-sofa=0.381781
Epoch[171] Validation-train=0.599712
Epoch[171] Validation-tvmonitor=0.412704
Epoch[171] Validation-mAP=0.411278
Epoch[172] Batch [20]	Speed: 151.25 samples/sec	CrossEntropy=0.751272	SmoothL1=0.342701
Epoch[172] Batch [40]	Speed: 153.85 samples/sec	CrossEntropy=0.732742	SmoothL1=0.329976
Epoch[172] Batch [60]	Speed: 159.31 samples/sec	CrossEntropy=0.746526	SmoothL1=0.343583
Epoch[172] Batch [80]	Speed: 155.52 samples/sec	CrossEntropy=0.753604	SmoothL1=0.353295
Epoch[172] Batch [100]	Speed: 157.72 samples/sec	CrossEntropy=0.748565	SmoothL1=0.341106
Epoch[172] Batch [120]	Speed: 154.92 samples/sec	CrossEntropy=0.743571	SmoothL1=0.352291
Epoch[172] Batch [140]	Speed: 159.49 samples/sec	CrossEntropy=0.747119	SmoothL1=0.351711
Epoch[172] Batch [160]	Speed: 156.68 samples/sec	CrossEntropy=0.751692	SmoothL1=0.340929
Epoch[172] Batch [180]	Speed: 158.24 samples/sec	CrossEntropy=0.729165	SmoothL1=0.341825
Epoch[172] Batch [200]	Speed: 153.44 samples/sec	CrossEntropy=0.735838	SmoothL1=0.336020
Epoch[172] Batch [220]	Speed: 155.93 samples/sec	CrossEntropy=0.731775	SmoothL1=0.334218
Epoch[172] Batch [240]	Speed: 157.82 samples/sec	CrossEntropy=0.747934	SmoothL1=0.343474
Epoch[172] Batch [260]	Speed: 159.39 samples/sec	CrossEntropy=0.761296	SmoothL1=0.360010
Epoch[172] Batch [280]	Speed: 155.97 samples/sec	CrossEntropy=0.742679	SmoothL1=0.357683
Epoch[172] Batch [300]	Speed: 157.61 samples/sec	CrossEntropy=0.733520	SmoothL1=0.343533
Epoch[172] Batch [320]	Speed: 159.83 samples/sec	CrossEntropy=0.729889	SmoothL1=0.318813
Epoch[172] Batch [340]	Speed: 162.38 samples/sec	CrossEntropy=0.746705	SmoothL1=0.337496
Epoch[172] Train-CrossEntropy=0.763540
Epoch[172] Train-SmoothL1=0.340903
Epoch[172] Time cost=105.302
Epoch[172] Validation-aeroplane=0.484953
Epoch[172] Validation-bicycle=0.512314
Epoch[172] Validation-bird=0.225272
Epoch[172] Validation-boat=0.273260
Epoch[172] Validation-bottle=0.101358
Epoch[172] Validation-bus=0.544344
Epoch[172] Validation-car=0.569661
Epoch[172] Validation-cat=0.498612
Epoch[172] Validation-chair=0.233476
Epoch[172] Validation-cow=0.256417
Epoch[172] Validation-diningtable=0.491208
Epoch[172] Validation-dog=0.434563
Epoch[172] Validation-horse=0.594690
Epoch[172] Validation-motorbike=0.577164
Epoch[172] Validation-person=0.536079
Epoch[172] Validation-pottedplant=0.148282
Epoch[172] Validation-sheep=0.380966
Epoch[172] Validation-sofa=0.383028
Epoch[172] Validation-train=0.604089
Epoch[172] Validation-tvmonitor=0.401972
Epoch[172] Validation-mAP=0.412585
Epoch[173] Batch [20]	Speed: 151.90 samples/sec	CrossEntropy=0.757086	SmoothL1=0.357997
Epoch[173] Batch [40]	Speed: 158.84 samples/sec	CrossEntropy=0.733524	SmoothL1=0.347114
Epoch[173] Batch [60]	Speed: 159.92 samples/sec	CrossEntropy=0.738486	SmoothL1=0.338929
Epoch[173] Batch [80]	Speed: 156.09 samples/sec	CrossEntropy=0.741534	SmoothL1=0.344932
Epoch[173] Batch [100]	Speed: 160.22 samples/sec	CrossEntropy=0.746986	SmoothL1=0.340039
Epoch[173] Batch [120]	Speed: 159.37 samples/sec	CrossEntropy=0.738669	SmoothL1=0.351150
Epoch[173] Batch [140]	Speed: 158.40 samples/sec	CrossEntropy=0.733311	SmoothL1=0.337591
Epoch[173] Batch [160]	Speed: 158.58 samples/sec	CrossEntropy=0.757263	SmoothL1=0.342502
Epoch[173] Batch [180]	Speed: 157.36 samples/sec	CrossEntropy=0.735859	SmoothL1=0.343337
Epoch[173] Batch [200]	Speed: 156.60 samples/sec	CrossEntropy=0.733871	SmoothL1=0.339189
Epoch[173] Batch [220]	Speed: 156.06 samples/sec	CrossEntropy=0.737247	SmoothL1=0.330551
Epoch[173] Batch [240]	Speed: 156.92 samples/sec	CrossEntropy=0.758633	SmoothL1=0.340658
Epoch[173] Batch [260]	Speed: 160.62 samples/sec	CrossEntropy=0.737731	SmoothL1=0.342732
Epoch[173] Batch [280]	Speed: 162.11 samples/sec	CrossEntropy=0.745784	SmoothL1=0.354001
Epoch[173] Batch [300]	Speed: 159.53 samples/sec	CrossEntropy=0.750634	SmoothL1=0.340986
Epoch[173] Batch [320]	Speed: 159.27 samples/sec	CrossEntropy=0.743283	SmoothL1=0.336887
Epoch[173] Batch [340]	Speed: 166.36 samples/sec	CrossEntropy=0.770971	SmoothL1=0.333929
Epoch[173] Train-CrossEntropy=0.707962
Epoch[173] Train-SmoothL1=0.316494
Epoch[173] Time cost=103.893
Epoch[173] Validation-aeroplane=0.483055
Epoch[173] Validation-bicycle=0.509667
Epoch[173] Validation-bird=0.227114
Epoch[173] Validation-boat=0.264625
Epoch[173] Validation-bottle=0.103513
Epoch[173] Validation-bus=0.537764
Epoch[173] Validation-car=0.566678
Epoch[173] Validation-cat=0.506173
Epoch[173] Validation-chair=0.236757
Epoch[173] Validation-cow=0.259825
Epoch[173] Validation-diningtable=0.492642
Epoch[173] Validation-dog=0.432659
Epoch[173] Validation-horse=0.572003
Epoch[173] Validation-motorbike=0.574412
Epoch[173] Validation-person=0.534187
Epoch[173] Validation-pottedplant=0.151608
Epoch[173] Validation-sheep=0.379552
Epoch[173] Validation-sofa=0.387113
Epoch[173] Validation-train=0.597026
Epoch[173] Validation-tvmonitor=0.410927
Epoch[173] Validation-mAP=0.411365
Epoch[174] Batch [20]	Speed: 147.76 samples/sec	CrossEntropy=0.742784	SmoothL1=0.348381
Epoch[174] Batch [40]	Speed: 156.72 samples/sec	CrossEntropy=0.741686	SmoothL1=0.342593
Epoch[174] Batch [60]	Speed: 159.06 samples/sec	CrossEntropy=0.739036	SmoothL1=0.343065
Epoch[174] Batch [80]	Speed: 158.57 samples/sec	CrossEntropy=0.750515	SmoothL1=0.355940
Epoch[174] Batch [100]	Speed: 160.31 samples/sec	CrossEntropy=0.750407	SmoothL1=0.338241
Epoch[174] Batch [120]	Speed: 159.20 samples/sec	CrossEntropy=0.725820	SmoothL1=0.354634
Epoch[174] Batch [140]	Speed: 156.24 samples/sec	CrossEntropy=0.738573	SmoothL1=0.343518
Epoch[174] Batch [160]	Speed: 159.26 samples/sec	CrossEntropy=0.758759	SmoothL1=0.344586
Epoch[174] Batch [180]	Speed: 156.24 samples/sec	CrossEntropy=0.730708	SmoothL1=0.343119
Epoch[174] Batch [200]	Speed: 158.29 samples/sec	CrossEntropy=0.738005	SmoothL1=0.338516
Epoch[174] Batch [220]	Speed: 158.24 samples/sec	CrossEntropy=0.744167	SmoothL1=0.345535
Epoch[174] Batch [240]	Speed: 156.32 samples/sec	CrossEntropy=0.742783	SmoothL1=0.334808
Epoch[174] Batch [260]	Speed: 153.87 samples/sec	CrossEntropy=0.742465	SmoothL1=0.353590
Epoch[174] Batch [280]	Speed: 157.11 samples/sec	CrossEntropy=0.753881	SmoothL1=0.357885
Epoch[174] Batch [300]	Speed: 161.13 samples/sec	CrossEntropy=0.742604	SmoothL1=0.346613
Epoch[174] Batch [320]	Speed: 154.31 samples/sec	CrossEntropy=0.742596	SmoothL1=0.336458
Epoch[174] Batch [340]	Speed: 160.12 samples/sec	CrossEntropy=0.755103	SmoothL1=0.352229
Epoch[174] Train-CrossEntropy=0.734099
Epoch[174] Train-SmoothL1=0.341147
Epoch[174] Time cost=105.508
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0175.params"
Epoch[174] Validation-aeroplane=0.476746
Epoch[174] Validation-bicycle=0.507288
Epoch[174] Validation-bird=0.227597
Epoch[174] Validation-boat=0.265120
Epoch[174] Validation-bottle=0.101505
Epoch[174] Validation-bus=0.536376
Epoch[174] Validation-car=0.567083
Epoch[174] Validation-cat=0.500302
Epoch[174] Validation-chair=0.235017
Epoch[174] Validation-cow=0.257292
Epoch[174] Validation-diningtable=0.482510
Epoch[174] Validation-dog=0.435052
Epoch[174] Validation-horse=0.578734
Epoch[174] Validation-motorbike=0.576048
Epoch[174] Validation-person=0.533947
Epoch[174] Validation-pottedplant=0.152078
Epoch[174] Validation-sheep=0.377160
Epoch[174] Validation-sofa=0.380329
Epoch[174] Validation-train=0.603707
Epoch[174] Validation-tvmonitor=0.407230
Epoch[174] Validation-mAP=0.410056
Epoch[175] Batch [20]	Speed: 149.10 samples/sec	CrossEntropy=0.752007	SmoothL1=0.339201
Epoch[175] Batch [40]	Speed: 159.27 samples/sec	CrossEntropy=0.744949	SmoothL1=0.343329
Epoch[175] Batch [60]	Speed: 157.90 samples/sec	CrossEntropy=0.745029	SmoothL1=0.357245
Epoch[175] Batch [80]	Speed: 158.67 samples/sec	CrossEntropy=0.756154	SmoothL1=0.351033
Epoch[175] Batch [100]	Speed: 159.50 samples/sec	CrossEntropy=0.759979	SmoothL1=0.341659
Epoch[175] Batch [120]	Speed: 152.20 samples/sec	CrossEntropy=0.754616	SmoothL1=0.352648
Epoch[175] Batch [140]	Speed: 157.50 samples/sec	CrossEntropy=0.751768	SmoothL1=0.357581
Epoch[175] Batch [160]	Speed: 160.59 samples/sec	CrossEntropy=0.754487	SmoothL1=0.353503
Epoch[175] Batch [180]	Speed: 156.20 samples/sec	CrossEntropy=0.751320	SmoothL1=0.357143
Epoch[175] Batch [200]	Speed: 156.91 samples/sec	CrossEntropy=0.747797	SmoothL1=0.336598
Epoch[175] Batch [220]	Speed: 158.69 samples/sec	CrossEntropy=0.743247	SmoothL1=0.342918
Epoch[175] Batch [240]	Speed: 156.89 samples/sec	CrossEntropy=0.751424	SmoothL1=0.341271
Epoch[175] Batch [260]	Speed: 155.84 samples/sec	CrossEntropy=0.750826	SmoothL1=0.356049
Epoch[175] Batch [280]	Speed: 155.03 samples/sec	CrossEntropy=0.755015	SmoothL1=0.344307
Epoch[175] Batch [300]	Speed: 160.67 samples/sec	CrossEntropy=0.756159	SmoothL1=0.351934
Epoch[175] Batch [320]	Speed: 159.96 samples/sec	CrossEntropy=0.745083	SmoothL1=0.329616
Epoch[175] Batch [340]	Speed: 162.24 samples/sec	CrossEntropy=0.755689	SmoothL1=0.345315
Epoch[175] Train-CrossEntropy=0.743288
Epoch[175] Train-SmoothL1=0.326444
Epoch[175] Time cost=104.974
Epoch[175] Validation-aeroplane=0.478645
Epoch[175] Validation-bicycle=0.499950
Epoch[175] Validation-bird=0.225939
Epoch[175] Validation-boat=0.262775
Epoch[175] Validation-bottle=0.102001
Epoch[175] Validation-bus=0.537365
Epoch[175] Validation-car=0.567779
Epoch[175] Validation-cat=0.497127
Epoch[175] Validation-chair=0.234153
Epoch[175] Validation-cow=0.254956
Epoch[175] Validation-diningtable=0.484774
Epoch[175] Validation-dog=0.436906
Epoch[175] Validation-horse=0.582653
Epoch[175] Validation-motorbike=0.583063
Epoch[175] Validation-person=0.533983
Epoch[175] Validation-pottedplant=0.148400
Epoch[175] Validation-sheep=0.372101
Epoch[175] Validation-sofa=0.391897
Epoch[175] Validation-train=0.603962
Epoch[175] Validation-tvmonitor=0.407884
Epoch[175] Validation-mAP=0.410316
Epoch[176] Batch [20]	Speed: 151.84 samples/sec	CrossEntropy=0.764256	SmoothL1=0.361685
Epoch[176] Batch [40]	Speed: 157.84 samples/sec	CrossEntropy=0.723424	SmoothL1=0.342680
Epoch[176] Batch [60]	Speed: 157.52 samples/sec	CrossEntropy=0.755950	SmoothL1=0.339985
Epoch[176] Batch [80]	Speed: 155.58 samples/sec	CrossEntropy=0.761571	SmoothL1=0.347465
Epoch[176] Batch [100]	Speed: 155.41 samples/sec	CrossEntropy=0.749243	SmoothL1=0.334381
Epoch[176] Batch [120]	Speed: 154.34 samples/sec	CrossEntropy=0.740970	SmoothL1=0.351825
Epoch[176] Batch [140]	Speed: 158.20 samples/sec	CrossEntropy=0.735464	SmoothL1=0.333235
Epoch[176] Batch [160]	Speed: 157.17 samples/sec	CrossEntropy=0.747770	SmoothL1=0.343863
Epoch[176] Batch [180]	Speed: 151.70 samples/sec	CrossEntropy=0.740521	SmoothL1=0.360178
Epoch[176] Batch [200]	Speed: 158.12 samples/sec	CrossEntropy=0.738033	SmoothL1=0.330958
Epoch[176] Batch [220]	Speed: 157.20 samples/sec	CrossEntropy=0.743962	SmoothL1=0.340061
Epoch[176] Batch [240]	Speed: 153.41 samples/sec	CrossEntropy=0.752525	SmoothL1=0.348093
Epoch[176] Batch [260]	Speed: 155.22 samples/sec	CrossEntropy=0.751705	SmoothL1=0.345499
Epoch[176] Batch [280]	Speed: 157.98 samples/sec	CrossEntropy=0.746872	SmoothL1=0.345995
Epoch[176] Batch [300]	Speed: 154.82 samples/sec	CrossEntropy=0.760019	SmoothL1=0.347551
Epoch[176] Batch [320]	Speed: 158.16 samples/sec	CrossEntropy=0.758201	SmoothL1=0.340186
Epoch[176] Batch [340]	Speed: 161.01 samples/sec	CrossEntropy=0.736826	SmoothL1=0.340832
Epoch[176] Train-CrossEntropy=0.800149
Epoch[176] Train-SmoothL1=0.360250
Epoch[176] Time cost=105.881
Epoch[176] Validation-aeroplane=0.483193
Epoch[176] Validation-bicycle=0.517105
Epoch[176] Validation-bird=0.224774
Epoch[176] Validation-boat=0.270888
Epoch[176] Validation-bottle=0.101311
Epoch[176] Validation-bus=0.538681
Epoch[176] Validation-car=0.571649
Epoch[176] Validation-cat=0.493326
Epoch[176] Validation-chair=0.236332
Epoch[176] Validation-cow=0.255868
Epoch[176] Validation-diningtable=0.493859
Epoch[176] Validation-dog=0.434240
Epoch[176] Validation-horse=0.585119
Epoch[176] Validation-motorbike=0.587062
Epoch[176] Validation-person=0.534850
Epoch[176] Validation-pottedplant=0.150274
Epoch[176] Validation-sheep=0.383612
Epoch[176] Validation-sofa=0.394930
Epoch[176] Validation-train=0.607798
Epoch[176] Validation-tvmonitor=0.403578
Epoch[176] Validation-mAP=0.413422
Epoch[177] Batch [20]	Speed: 149.97 samples/sec	CrossEntropy=0.756632	SmoothL1=0.354698
Epoch[177] Batch [40]	Speed: 158.45 samples/sec	CrossEntropy=0.731301	SmoothL1=0.336213
Epoch[177] Batch [60]	Speed: 153.27 samples/sec	CrossEntropy=0.760420	SmoothL1=0.360810
Epoch[177] Batch [80]	Speed: 153.07 samples/sec	CrossEntropy=0.755021	SmoothL1=0.336744
Epoch[177] Batch [100]	Speed: 159.79 samples/sec	CrossEntropy=0.741964	SmoothL1=0.338732
Epoch[177] Batch [120]	Speed: 158.87 samples/sec	CrossEntropy=0.750991	SmoothL1=0.354021
Epoch[177] Batch [140]	Speed: 159.04 samples/sec	CrossEntropy=0.756932	SmoothL1=0.338274
Epoch[177] Batch [160]	Speed: 160.20 samples/sec	CrossEntropy=0.759839	SmoothL1=0.347639
Epoch[177] Batch [180]	Speed: 158.41 samples/sec	CrossEntropy=0.738436	SmoothL1=0.349195
Epoch[177] Batch [200]	Speed: 154.87 samples/sec	CrossEntropy=0.745281	SmoothL1=0.330942
Epoch[177] Batch [220]	Speed: 157.61 samples/sec	CrossEntropy=0.743586	SmoothL1=0.336634
Epoch[177] Batch [240]	Speed: 158.76 samples/sec	CrossEntropy=0.743240	SmoothL1=0.341383
Epoch[177] Batch [260]	Speed: 157.86 samples/sec	CrossEntropy=0.756220	SmoothL1=0.343977
Epoch[177] Batch [280]	Speed: 158.30 samples/sec	CrossEntropy=0.755004	SmoothL1=0.361580
Epoch[177] Batch [300]	Speed: 158.11 samples/sec	CrossEntropy=0.749830	SmoothL1=0.347299
Epoch[177] Batch [320]	Speed: 160.15 samples/sec	CrossEntropy=0.735940	SmoothL1=0.324391
Epoch[177] Batch [340]	Speed: 162.94 samples/sec	CrossEntropy=0.760497	SmoothL1=0.331106
Epoch[177] Train-CrossEntropy=0.741361
Epoch[177] Train-SmoothL1=0.322689
Epoch[177] Time cost=104.893
Epoch[177] Validation-aeroplane=0.485087
Epoch[177] Validation-bicycle=0.514472
Epoch[177] Validation-bird=0.225231
Epoch[177] Validation-boat=0.270929
Epoch[177] Validation-bottle=0.101263
Epoch[177] Validation-bus=0.536177
Epoch[177] Validation-car=0.572834
Epoch[177] Validation-cat=0.499764
Epoch[177] Validation-chair=0.237064
Epoch[177] Validation-cow=0.266517
Epoch[177] Validation-diningtable=0.493347
Epoch[177] Validation-dog=0.436391
Epoch[177] Validation-horse=0.575970
Epoch[177] Validation-motorbike=0.573935
Epoch[177] Validation-person=0.533889
Epoch[177] Validation-pottedplant=0.149986
Epoch[177] Validation-sheep=0.377552
Epoch[177] Validation-sofa=0.382618
Epoch[177] Validation-train=0.607673
Epoch[177] Validation-tvmonitor=0.402831
Epoch[177] Validation-mAP=0.412176
Epoch[178] Batch [20]	Speed: 152.88 samples/sec	CrossEntropy=0.736955	SmoothL1=0.345800
Epoch[178] Batch [40]	Speed: 157.59 samples/sec	CrossEntropy=0.746368	SmoothL1=0.348748
Epoch[178] Batch [60]	Speed: 154.95 samples/sec	CrossEntropy=0.762512	SmoothL1=0.348248
Epoch[178] Batch [80]	Speed: 158.12 samples/sec	CrossEntropy=0.764270	SmoothL1=0.349686
Epoch[178] Batch [100]	Speed: 161.08 samples/sec	CrossEntropy=0.748079	SmoothL1=0.335639
Epoch[178] Batch [120]	Speed: 158.37 samples/sec	CrossEntropy=0.727580	SmoothL1=0.342287
Epoch[178] Batch [140]	Speed: 157.86 samples/sec	CrossEntropy=0.746085	SmoothL1=0.347483
Epoch[178] Batch [160]	Speed: 156.12 samples/sec	CrossEntropy=0.765447	SmoothL1=0.343508
Epoch[178] Batch [180]	Speed: 158.29 samples/sec	CrossEntropy=0.743329	SmoothL1=0.341442
Epoch[178] Batch [200]	Speed: 156.07 samples/sec	CrossEntropy=0.744913	SmoothL1=0.336189
Epoch[178] Batch [220]	Speed: 157.38 samples/sec	CrossEntropy=0.753677	SmoothL1=0.354403
Epoch[178] Batch [240]	Speed: 156.00 samples/sec	CrossEntropy=0.748336	SmoothL1=0.342419
Epoch[178] Batch [260]	Speed: 158.01 samples/sec	CrossEntropy=0.738106	SmoothL1=0.351791
Epoch[178] Batch [280]	Speed: 156.77 samples/sec	CrossEntropy=0.753691	SmoothL1=0.357702
Epoch[178] Batch [300]	Speed: 157.96 samples/sec	CrossEntropy=0.764038	SmoothL1=0.345762
Epoch[178] Batch [320]	Speed: 159.78 samples/sec	CrossEntropy=0.750455	SmoothL1=0.335322
Epoch[178] Batch [340]	Speed: 162.84 samples/sec	CrossEntropy=0.746133	SmoothL1=0.331679
Epoch[178] Train-CrossEntropy=0.764419
Epoch[178] Train-SmoothL1=0.307623
Epoch[178] Time cost=104.958
Epoch[178] Validation-aeroplane=0.490143
Epoch[178] Validation-bicycle=0.511662
Epoch[178] Validation-bird=0.232737
Epoch[178] Validation-boat=0.269427
Epoch[178] Validation-bottle=0.101579
Epoch[178] Validation-bus=0.538142
Epoch[178] Validation-car=0.568927
Epoch[178] Validation-cat=0.505766
Epoch[178] Validation-chair=0.231849
Epoch[178] Validation-cow=0.258335
Epoch[178] Validation-diningtable=0.488354
Epoch[178] Validation-dog=0.436265
Epoch[178] Validation-horse=0.581115
Epoch[178] Validation-motorbike=0.577599
Epoch[178] Validation-person=0.534925
Epoch[178] Validation-pottedplant=0.149344
Epoch[178] Validation-sheep=0.373628
Epoch[178] Validation-sofa=0.384447
Epoch[178] Validation-train=0.613457
Epoch[178] Validation-tvmonitor=0.400130
Epoch[178] Validation-mAP=0.412392
Epoch[179] Batch [20]	Speed: 154.43 samples/sec	CrossEntropy=0.749973	SmoothL1=0.350131
Epoch[179] Batch [40]	Speed: 157.46 samples/sec	CrossEntropy=0.749495	SmoothL1=0.348888
Epoch[179] Batch [60]	Speed: 157.38 samples/sec	CrossEntropy=0.765474	SmoothL1=0.352610
Epoch[179] Batch [80]	Speed: 159.39 samples/sec	CrossEntropy=0.749365	SmoothL1=0.342329
Epoch[179] Batch [100]	Speed: 153.23 samples/sec	CrossEntropy=0.747332	SmoothL1=0.341693
Epoch[179] Batch [120]	Speed: 156.82 samples/sec	CrossEntropy=0.745412	SmoothL1=0.369185
Epoch[179] Batch [140]	Speed: 159.22 samples/sec	CrossEntropy=0.730597	SmoothL1=0.335579
Epoch[179] Batch [160]	Speed: 158.84 samples/sec	CrossEntropy=0.744116	SmoothL1=0.338228
Epoch[179] Batch [180]	Speed: 156.67 samples/sec	CrossEntropy=0.751875	SmoothL1=0.346546
Epoch[179] Batch [200]	Speed: 155.83 samples/sec	CrossEntropy=0.752222	SmoothL1=0.332437
Epoch[179] Batch [220]	Speed: 157.62 samples/sec	CrossEntropy=0.739313	SmoothL1=0.337060
Epoch[179] Batch [240]	Speed: 157.89 samples/sec	CrossEntropy=0.756609	SmoothL1=0.343570
Epoch[179] Batch [260]	Speed: 155.96 samples/sec	CrossEntropy=0.751470	SmoothL1=0.345418
Epoch[179] Batch [280]	Speed: 160.06 samples/sec	CrossEntropy=0.750635	SmoothL1=0.355530
Epoch[179] Batch [300]	Speed: 156.05 samples/sec	CrossEntropy=0.759084	SmoothL1=0.355020
Epoch[179] Batch [320]	Speed: 159.14 samples/sec	CrossEntropy=0.741559	SmoothL1=0.328590
Epoch[179] Batch [340]	Speed: 160.22 samples/sec	CrossEntropy=0.753808	SmoothL1=0.342838
Epoch[179] Train-CrossEntropy=0.770066
Epoch[179] Train-SmoothL1=0.319058
Epoch[179] Time cost=104.708
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0180.params"
Epoch[179] Validation-aeroplane=0.481314
Epoch[179] Validation-bicycle=0.509054
Epoch[179] Validation-bird=0.229796
Epoch[179] Validation-boat=0.264613
Epoch[179] Validation-bottle=0.101311
Epoch[179] Validation-bus=0.533842
Epoch[179] Validation-car=0.573091
Epoch[179] Validation-cat=0.504712
Epoch[179] Validation-chair=0.233756
Epoch[179] Validation-cow=0.252595
Epoch[179] Validation-diningtable=0.498973
Epoch[179] Validation-dog=0.434861
Epoch[179] Validation-horse=0.571342
Epoch[179] Validation-motorbike=0.585564
Epoch[179] Validation-person=0.537169
Epoch[179] Validation-pottedplant=0.149389
Epoch[179] Validation-sheep=0.376496
Epoch[179] Validation-sofa=0.381554
Epoch[179] Validation-train=0.614310
Epoch[179] Validation-tvmonitor=0.404127
Epoch[179] Validation-mAP=0.411893
Epoch[180] Batch [20]	Speed: 149.79 samples/sec	CrossEntropy=0.733731	SmoothL1=0.341945
Epoch[180] Batch [40]	Speed: 160.23 samples/sec	CrossEntropy=0.744090	SmoothL1=0.355591
Epoch[180] Batch [60]	Speed: 159.60 samples/sec	CrossEntropy=0.748630	SmoothL1=0.350495
Epoch[180] Batch [80]	Speed: 159.43 samples/sec	CrossEntropy=0.749536	SmoothL1=0.342554
Epoch[180] Batch [100]	Speed: 159.54 samples/sec	CrossEntropy=0.741169	SmoothL1=0.335535
Epoch[180] Batch [120]	Speed: 158.67 samples/sec	CrossEntropy=0.742269	SmoothL1=0.359156
Epoch[180] Batch [140]	Speed: 157.60 samples/sec	CrossEntropy=0.746564	SmoothL1=0.341047
Epoch[180] Batch [160]	Speed: 156.16 samples/sec	CrossEntropy=0.745780	SmoothL1=0.337001
Epoch[180] Batch [180]	Speed: 156.49 samples/sec	CrossEntropy=0.735019	SmoothL1=0.342154
Epoch[180] Batch [200]	Speed: 158.07 samples/sec	CrossEntropy=0.737284	SmoothL1=0.333670
Epoch[180] Batch [220]	Speed: 159.61 samples/sec	CrossEntropy=0.739808	SmoothL1=0.345273
Epoch[180] Batch [240]	Speed: 155.08 samples/sec	CrossEntropy=0.759291	SmoothL1=0.346882
Epoch[180] Batch [260]	Speed: 154.76 samples/sec	CrossEntropy=0.738606	SmoothL1=0.328099
Epoch[180] Batch [280]	Speed: 157.07 samples/sec	CrossEntropy=0.746847	SmoothL1=0.346053
Epoch[180] Batch [300]	Speed: 151.93 samples/sec	CrossEntropy=0.748302	SmoothL1=0.348687
Epoch[180] Batch [320]	Speed: 157.10 samples/sec	CrossEntropy=0.742154	SmoothL1=0.328580
Epoch[180] Batch [340]	Speed: 160.72 samples/sec	CrossEntropy=0.749336	SmoothL1=0.347226
Epoch[180] Train-CrossEntropy=0.773748
Epoch[180] Train-SmoothL1=0.354094
Epoch[180] Time cost=105.200
Epoch[180] Validation-aeroplane=0.482245
Epoch[180] Validation-bicycle=0.511336
Epoch[180] Validation-bird=0.227664
Epoch[180] Validation-boat=0.265754
Epoch[180] Validation-bottle=0.100901
Epoch[180] Validation-bus=0.532638
Epoch[180] Validation-car=0.567853
Epoch[180] Validation-cat=0.502423
Epoch[180] Validation-chair=0.236553
Epoch[180] Validation-cow=0.259356
Epoch[180] Validation-diningtable=0.489299
Epoch[180] Validation-dog=0.441657
Epoch[180] Validation-horse=0.587238
Epoch[180] Validation-motorbike=0.574013
Epoch[180] Validation-person=0.536323
Epoch[180] Validation-pottedplant=0.153022
Epoch[180] Validation-sheep=0.376745
Epoch[180] Validation-sofa=0.388919
Epoch[180] Validation-train=0.608686
Epoch[180] Validation-tvmonitor=0.399748
Epoch[180] Validation-mAP=0.412119
Epoch[181] Batch [20]	Speed: 149.89 samples/sec	CrossEntropy=0.741305	SmoothL1=0.335206
Epoch[181] Batch [40]	Speed: 156.63 samples/sec	CrossEntropy=0.731008	SmoothL1=0.347431
Epoch[181] Batch [60]	Speed: 154.08 samples/sec	CrossEntropy=0.738681	SmoothL1=0.349469
Epoch[181] Batch [80]	Speed: 158.12 samples/sec	CrossEntropy=0.760960	SmoothL1=0.347115
Epoch[181] Batch [100]	Speed: 156.25 samples/sec	CrossEntropy=0.746376	SmoothL1=0.345017
Epoch[181] Batch [120]	Speed: 160.07 samples/sec	CrossEntropy=0.738234	SmoothL1=0.353906
Epoch[181] Batch [140]	Speed: 152.52 samples/sec	CrossEntropy=0.746755	SmoothL1=0.351482
Epoch[181] Batch [160]	Speed: 152.78 samples/sec	CrossEntropy=0.752432	SmoothL1=0.343717
Epoch[181] Batch [180]	Speed: 148.71 samples/sec	CrossEntropy=0.743951	SmoothL1=0.360966
Epoch[181] Batch [200]	Speed: 154.95 samples/sec	CrossEntropy=0.751201	SmoothL1=0.344046
Epoch[181] Batch [220]	Speed: 155.19 samples/sec	CrossEntropy=0.742351	SmoothL1=0.329415
Epoch[181] Batch [240]	Speed: 153.60 samples/sec	CrossEntropy=0.753796	SmoothL1=0.343193
Epoch[181] Batch [260]	Speed: 155.37 samples/sec	CrossEntropy=0.758842	SmoothL1=0.354340
Epoch[181] Batch [280]	Speed: 157.09 samples/sec	CrossEntropy=0.745389	SmoothL1=0.345218
Epoch[181] Batch [300]	Speed: 157.41 samples/sec	CrossEntropy=0.755679	SmoothL1=0.348596
Epoch[181] Batch [320]	Speed: 160.68 samples/sec	CrossEntropy=0.738097	SmoothL1=0.324514
Epoch[181] Batch [340]	Speed: 159.15 samples/sec	CrossEntropy=0.757565	SmoothL1=0.350283
Epoch[181] Train-CrossEntropy=0.780888
Epoch[181] Train-SmoothL1=0.369315
Epoch[181] Time cost=106.345
Epoch[181] Validation-aeroplane=0.480831
Epoch[181] Validation-bicycle=0.510974
Epoch[181] Validation-bird=0.229965
Epoch[181] Validation-boat=0.269595
Epoch[181] Validation-bottle=0.100837
Epoch[181] Validation-bus=0.538389
Epoch[181] Validation-car=0.568886
Epoch[181] Validation-cat=0.502228
Epoch[181] Validation-chair=0.238290
Epoch[181] Validation-cow=0.273111
Epoch[181] Validation-diningtable=0.494564
Epoch[181] Validation-dog=0.435235
Epoch[181] Validation-horse=0.586490
Epoch[181] Validation-motorbike=0.571318
Epoch[181] Validation-person=0.535015
Epoch[181] Validation-pottedplant=0.149929
Epoch[181] Validation-sheep=0.377847
Epoch[181] Validation-sofa=0.387916
Epoch[181] Validation-train=0.625533
Epoch[181] Validation-tvmonitor=0.404546
Epoch[181] Validation-mAP=0.414075
Epoch[182] Batch [20]	Speed: 147.81 samples/sec	CrossEntropy=0.751277	SmoothL1=0.347997
Epoch[182] Batch [40]	Speed: 155.25 samples/sec	CrossEntropy=0.742829	SmoothL1=0.338432
Epoch[182] Batch [60]	Speed: 160.75 samples/sec	CrossEntropy=0.759552	SmoothL1=0.339324
Epoch[182] Batch [80]	Speed: 159.89 samples/sec	CrossEntropy=0.744172	SmoothL1=0.346201
Epoch[182] Batch [100]	Speed: 156.22 samples/sec	CrossEntropy=0.751923	SmoothL1=0.343864
Epoch[182] Batch [120]	Speed: 158.71 samples/sec	CrossEntropy=0.729785	SmoothL1=0.348254
Epoch[182] Batch [140]	Speed: 153.56 samples/sec	CrossEntropy=0.738731	SmoothL1=0.351813
Epoch[182] Batch [160]	Speed: 157.89 samples/sec	CrossEntropy=0.750462	SmoothL1=0.343282
Epoch[182] Batch [180]	Speed: 161.12 samples/sec	CrossEntropy=0.736589	SmoothL1=0.336907
Epoch[182] Batch [200]	Speed: 159.35 samples/sec	CrossEntropy=0.745723	SmoothL1=0.340995
Epoch[182] Batch [220]	Speed: 160.11 samples/sec	CrossEntropy=0.754844	SmoothL1=0.339185
Epoch[182] Batch [240]	Speed: 157.41 samples/sec	CrossEntropy=0.755288	SmoothL1=0.352879
Epoch[182] Batch [260]	Speed: 158.50 samples/sec	CrossEntropy=0.745245	SmoothL1=0.342231
Epoch[182] Batch [280]	Speed: 155.86 samples/sec	CrossEntropy=0.742109	SmoothL1=0.348829
Epoch[182] Batch [300]	Speed: 158.51 samples/sec	CrossEntropy=0.745249	SmoothL1=0.357360
Epoch[182] Batch [320]	Speed: 163.97 samples/sec	CrossEntropy=0.725200	SmoothL1=0.325449
Epoch[182] Batch [340]	Speed: 163.51 samples/sec	CrossEntropy=0.752785	SmoothL1=0.326803
Epoch[182] Train-CrossEntropy=0.740836
Epoch[182] Train-SmoothL1=0.354595
Epoch[182] Time cost=104.559
Epoch[182] Validation-aeroplane=0.484988
Epoch[182] Validation-bicycle=0.512776
Epoch[182] Validation-bird=0.227434
Epoch[182] Validation-boat=0.266377
Epoch[182] Validation-bottle=0.101170
Epoch[182] Validation-bus=0.541473
Epoch[182] Validation-car=0.571182
Epoch[182] Validation-cat=0.499712
Epoch[182] Validation-chair=0.234644
Epoch[182] Validation-cow=0.249842
Epoch[182] Validation-diningtable=0.483088
Epoch[182] Validation-dog=0.439214
Epoch[182] Validation-horse=0.590714
Epoch[182] Validation-motorbike=0.580804
Epoch[182] Validation-person=0.534598
Epoch[182] Validation-pottedplant=0.147282
Epoch[182] Validation-sheep=0.382420
Epoch[182] Validation-sofa=0.388317
Epoch[182] Validation-train=0.622799
Epoch[182] Validation-tvmonitor=0.410205
Epoch[182] Validation-mAP=0.413452
Epoch[183] Batch [20]	Speed: 147.73 samples/sec	CrossEntropy=0.745936	SmoothL1=0.349141
Epoch[183] Batch [40]	Speed: 155.06 samples/sec	CrossEntropy=0.741841	SmoothL1=0.344154
Epoch[183] Batch [60]	Speed: 160.66 samples/sec	CrossEntropy=0.742458	SmoothL1=0.337460
Epoch[183] Batch [80]	Speed: 159.34 samples/sec	CrossEntropy=0.745342	SmoothL1=0.342523
Epoch[183] Batch [100]	Speed: 159.75 samples/sec	CrossEntropy=0.746971	SmoothL1=0.340564
Epoch[183] Batch [120]	Speed: 160.34 samples/sec	CrossEntropy=0.745901	SmoothL1=0.338194
Epoch[183] Batch [140]	Speed: 159.34 samples/sec	CrossEntropy=0.748503	SmoothL1=0.344057
Epoch[183] Batch [160]	Speed: 159.19 samples/sec	CrossEntropy=0.755976	SmoothL1=0.334381
Epoch[183] Batch [180]	Speed: 156.48 samples/sec	CrossEntropy=0.748835	SmoothL1=0.354610
Epoch[183] Batch [200]	Speed: 158.62 samples/sec	CrossEntropy=0.745765	SmoothL1=0.338679
Epoch[183] Batch [220]	Speed: 156.00 samples/sec	CrossEntropy=0.753888	SmoothL1=0.348364
Epoch[183] Batch [240]	Speed: 159.45 samples/sec	CrossEntropy=0.753489	SmoothL1=0.336598
Epoch[183] Batch [260]	Speed: 158.53 samples/sec	CrossEntropy=0.748318	SmoothL1=0.352974
Epoch[183] Batch [280]	Speed: 158.62 samples/sec	CrossEntropy=0.738138	SmoothL1=0.341268
Epoch[183] Batch [300]	Speed: 156.16 samples/sec	CrossEntropy=0.755776	SmoothL1=0.342361
Epoch[183] Batch [320]	Speed: 158.99 samples/sec	CrossEntropy=0.748019	SmoothL1=0.334471
Epoch[183] Batch [340]	Speed: 162.30 samples/sec	CrossEntropy=0.765626	SmoothL1=0.344776
Epoch[183] Train-CrossEntropy=0.787543
Epoch[183] Train-SmoothL1=0.354564
Epoch[183] Time cost=104.614
Epoch[183] Validation-aeroplane=0.482451
Epoch[183] Validation-bicycle=0.512355
Epoch[183] Validation-bird=0.232187
Epoch[183] Validation-boat=0.268159
Epoch[183] Validation-bottle=0.100840
Epoch[183] Validation-bus=0.532859
Epoch[183] Validation-car=0.570095
Epoch[183] Validation-cat=0.505447
Epoch[183] Validation-chair=0.236968
Epoch[183] Validation-cow=0.256389
Epoch[183] Validation-diningtable=0.495751
Epoch[183] Validation-dog=0.434886
Epoch[183] Validation-horse=0.577511
Epoch[183] Validation-motorbike=0.578661
Epoch[183] Validation-person=0.536339
Epoch[183] Validation-pottedplant=0.158035
Epoch[183] Validation-sheep=0.370807
Epoch[183] Validation-sofa=0.388145
Epoch[183] Validation-train=0.623026
Epoch[183] Validation-tvmonitor=0.405203
Epoch[183] Validation-mAP=0.413306
Epoch[184] Batch [20]	Speed: 148.48 samples/sec	CrossEntropy=0.743113	SmoothL1=0.352757
Epoch[184] Batch [40]	Speed: 152.79 samples/sec	CrossEntropy=0.737709	SmoothL1=0.342032
Epoch[184] Batch [60]	Speed: 159.20 samples/sec	CrossEntropy=0.743770	SmoothL1=0.349147
Epoch[184] Batch [80]	Speed: 156.98 samples/sec	CrossEntropy=0.745122	SmoothL1=0.355991
Epoch[184] Batch [100]	Speed: 161.82 samples/sec	CrossEntropy=0.753599	SmoothL1=0.333034
Epoch[184] Batch [120]	Speed: 153.85 samples/sec	CrossEntropy=0.744554	SmoothL1=0.348067
Epoch[184] Batch [140]	Speed: 157.08 samples/sec	CrossEntropy=0.749817	SmoothL1=0.339293
Epoch[184] Batch [160]	Speed: 160.02 samples/sec	CrossEntropy=0.748670	SmoothL1=0.332799
Epoch[184] Batch [180]	Speed: 157.49 samples/sec	CrossEntropy=0.725740	SmoothL1=0.346947
Epoch[184] Batch [200]	Speed: 157.15 samples/sec	CrossEntropy=0.730864	SmoothL1=0.336046
Epoch[184] Batch [220]	Speed: 159.60 samples/sec	CrossEntropy=0.742274	SmoothL1=0.345635
Epoch[184] Batch [240]	Speed: 158.74 samples/sec	CrossEntropy=0.744083	SmoothL1=0.336117
Epoch[184] Batch [260]	Speed: 157.92 samples/sec	CrossEntropy=0.745883	SmoothL1=0.345342
Epoch[184] Batch [280]	Speed: 161.25 samples/sec	CrossEntropy=0.734488	SmoothL1=0.345133
Epoch[184] Batch [300]	Speed: 158.56 samples/sec	CrossEntropy=0.738326	SmoothL1=0.341072
Epoch[184] Batch [320]	Speed: 161.59 samples/sec	CrossEntropy=0.744569	SmoothL1=0.326486
Epoch[184] Batch [340]	Speed: 164.35 samples/sec	CrossEntropy=0.763635	SmoothL1=0.335439
Epoch[184] Train-CrossEntropy=0.772839
Epoch[184] Train-SmoothL1=0.309605
Epoch[184] Time cost=104.373
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0185.params"
Epoch[184] Validation-aeroplane=0.486875
Epoch[184] Validation-bicycle=0.510993
Epoch[184] Validation-bird=0.229220
Epoch[184] Validation-boat=0.270671
Epoch[184] Validation-bottle=0.101167
Epoch[184] Validation-bus=0.543973
Epoch[184] Validation-car=0.569379
Epoch[184] Validation-cat=0.506101
Epoch[184] Validation-chair=0.233227
Epoch[184] Validation-cow=0.254875
Epoch[184] Validation-diningtable=0.494392
Epoch[184] Validation-dog=0.435117
Epoch[184] Validation-horse=0.578752
Epoch[184] Validation-motorbike=0.580561
Epoch[184] Validation-person=0.536188
Epoch[184] Validation-pottedplant=0.154791
Epoch[184] Validation-sheep=0.374918
Epoch[184] Validation-sofa=0.380926
Epoch[184] Validation-train=0.607844
Epoch[184] Validation-tvmonitor=0.399710
Epoch[184] Validation-mAP=0.412484
Epoch[185] Batch [20]	Speed: 152.41 samples/sec	CrossEntropy=0.751870	SmoothL1=0.354172
Epoch[185] Batch [40]	Speed: 154.97 samples/sec	CrossEntropy=0.744308	SmoothL1=0.360077
Epoch[185] Batch [60]	Speed: 161.44 samples/sec	CrossEntropy=0.751598	SmoothL1=0.348380
Epoch[185] Batch [80]	Speed: 155.32 samples/sec	CrossEntropy=0.749072	SmoothL1=0.345705
Epoch[185] Batch [100]	Speed: 160.04 samples/sec	CrossEntropy=0.749023	SmoothL1=0.332622
Epoch[185] Batch [120]	Speed: 157.17 samples/sec	CrossEntropy=0.734276	SmoothL1=0.361606
Epoch[185] Batch [140]	Speed: 157.01 samples/sec	CrossEntropy=0.738394	SmoothL1=0.340949
Epoch[185] Batch [160]	Speed: 158.03 samples/sec	CrossEntropy=0.753908	SmoothL1=0.345493
Epoch[185] Batch [180]	Speed: 158.30 samples/sec	CrossEntropy=0.737106	SmoothL1=0.352131
Epoch[185] Batch [200]	Speed: 158.61 samples/sec	CrossEntropy=0.743949	SmoothL1=0.332225
Epoch[185] Batch [220]	Speed: 158.64 samples/sec	CrossEntropy=0.742265	SmoothL1=0.342135
Epoch[185] Batch [240]	Speed: 158.36 samples/sec	CrossEntropy=0.762702	SmoothL1=0.344889
Epoch[185] Batch [260]	Speed: 156.62 samples/sec	CrossEntropy=0.733870	SmoothL1=0.349172
Epoch[185] Batch [280]	Speed: 158.20 samples/sec	CrossEntropy=0.758144	SmoothL1=0.366139
Epoch[185] Batch [300]	Speed: 159.82 samples/sec	CrossEntropy=0.742134	SmoothL1=0.335900
Epoch[185] Batch [320]	Speed: 157.91 samples/sec	CrossEntropy=0.739407	SmoothL1=0.332278
Epoch[185] Batch [340]	Speed: 160.75 samples/sec	CrossEntropy=0.752169	SmoothL1=0.344194
Epoch[185] Train-CrossEntropy=0.753641
Epoch[185] Train-SmoothL1=0.344779
Epoch[185] Time cost=104.800
Epoch[185] Validation-aeroplane=0.484995
Epoch[185] Validation-bicycle=0.510073
Epoch[185] Validation-bird=0.223883
Epoch[185] Validation-boat=0.259061
Epoch[185] Validation-bottle=0.101328
Epoch[185] Validation-bus=0.537214
Epoch[185] Validation-car=0.568275
Epoch[185] Validation-cat=0.506067
Epoch[185] Validation-chair=0.232373
Epoch[185] Validation-cow=0.255643
Epoch[185] Validation-diningtable=0.491316
Epoch[185] Validation-dog=0.438582
Epoch[185] Validation-horse=0.589135
Epoch[185] Validation-motorbike=0.573981
Epoch[185] Validation-person=0.536970
Epoch[185] Validation-pottedplant=0.150793
Epoch[185] Validation-sheep=0.378769
Epoch[185] Validation-sofa=0.393464
Epoch[185] Validation-train=0.611555
Epoch[185] Validation-tvmonitor=0.398785
Epoch[185] Validation-mAP=0.412113
Epoch[186] Batch [20]	Speed: 150.20 samples/sec	CrossEntropy=0.735067	SmoothL1=0.346413
Epoch[186] Batch [40]	Speed: 154.84 samples/sec	CrossEntropy=0.738605	SmoothL1=0.327856
Epoch[186] Batch [60]	Speed: 157.66 samples/sec	CrossEntropy=0.747387	SmoothL1=0.345190
Epoch[186] Batch [80]	Speed: 158.44 samples/sec	CrossEntropy=0.744418	SmoothL1=0.353729
Epoch[186] Batch [100]	Speed: 158.30 samples/sec	CrossEntropy=0.747131	SmoothL1=0.333955
Epoch[186] Batch [120]	Speed: 157.15 samples/sec	CrossEntropy=0.739376	SmoothL1=0.351725
Epoch[186] Batch [140]	Speed: 158.97 samples/sec	CrossEntropy=0.738410	SmoothL1=0.353091
Epoch[186] Batch [160]	Speed: 159.09 samples/sec	CrossEntropy=0.755567	SmoothL1=0.349465
Epoch[186] Batch [180]	Speed: 157.91 samples/sec	CrossEntropy=0.748231	SmoothL1=0.350442
Epoch[186] Batch [200]	Speed: 155.83 samples/sec	CrossEntropy=0.741103	SmoothL1=0.335349
Epoch[186] Batch [220]	Speed: 157.46 samples/sec	CrossEntropy=0.732410	SmoothL1=0.335910
Epoch[186] Batch [240]	Speed: 157.39 samples/sec	CrossEntropy=0.745937	SmoothL1=0.341961
Epoch[186] Batch [260]	Speed: 157.82 samples/sec	CrossEntropy=0.749061	SmoothL1=0.352871
Epoch[186] Batch [280]	Speed: 157.38 samples/sec	CrossEntropy=0.742198	SmoothL1=0.342991
Epoch[186] Batch [300]	Speed: 160.74 samples/sec	CrossEntropy=0.750886	SmoothL1=0.354445
Epoch[186] Batch [320]	Speed: 158.63 samples/sec	CrossEntropy=0.759055	SmoothL1=0.335245
Epoch[186] Batch [340]	Speed: 164.47 samples/sec	CrossEntropy=0.748225	SmoothL1=0.342423
Epoch[186] Train-CrossEntropy=0.807421
Epoch[186] Train-SmoothL1=0.407601
Epoch[186] Time cost=104.816
Epoch[186] Validation-aeroplane=0.483902
Epoch[186] Validation-bicycle=0.507705
Epoch[186] Validation-bird=0.228552
Epoch[186] Validation-boat=0.261365
Epoch[186] Validation-bottle=0.101554
Epoch[186] Validation-bus=0.549633
Epoch[186] Validation-car=0.569860
Epoch[186] Validation-cat=0.503234
Epoch[186] Validation-chair=0.237589
Epoch[186] Validation-cow=0.255605
Epoch[186] Validation-diningtable=0.495385
Epoch[186] Validation-dog=0.436724
Epoch[186] Validation-horse=0.588815
Epoch[186] Validation-motorbike=0.580740
Epoch[186] Validation-person=0.536158
Epoch[186] Validation-pottedplant=0.153356
Epoch[186] Validation-sheep=0.378071
Epoch[186] Validation-sofa=0.383795
Epoch[186] Validation-train=0.614760
Epoch[186] Validation-tvmonitor=0.405303
Epoch[186] Validation-mAP=0.413605
Epoch[187] Batch [20]	Speed: 153.79 samples/sec	CrossEntropy=0.733239	SmoothL1=0.343921
Epoch[187] Batch [40]	Speed: 155.74 samples/sec	CrossEntropy=0.743315	SmoothL1=0.339010
Epoch[187] Batch [60]	Speed: 158.81 samples/sec	CrossEntropy=0.735369	SmoothL1=0.342653
Epoch[187] Batch [80]	Speed: 156.67 samples/sec	CrossEntropy=0.753818	SmoothL1=0.347660
Epoch[187] Batch [100]	Speed: 158.45 samples/sec	CrossEntropy=0.746235	SmoothL1=0.334819
Epoch[187] Batch [120]	Speed: 161.93 samples/sec	CrossEntropy=0.752429	SmoothL1=0.357288
Epoch[187] Batch [140]	Speed: 157.05 samples/sec	CrossEntropy=0.736718	SmoothL1=0.338517
Epoch[187] Batch [160]	Speed: 159.29 samples/sec	CrossEntropy=0.748214	SmoothL1=0.339356
Epoch[187] Batch [180]	Speed: 159.50 samples/sec	CrossEntropy=0.743607	SmoothL1=0.335366
Epoch[187] Batch [200]	Speed: 159.70 samples/sec	CrossEntropy=0.750721	SmoothL1=0.342815
Epoch[187] Batch [220]	Speed: 159.49 samples/sec	CrossEntropy=0.752101	SmoothL1=0.346459
Epoch[187] Batch [240]	Speed: 156.78 samples/sec	CrossEntropy=0.758387	SmoothL1=0.342321
Epoch[187] Batch [260]	Speed: 158.40 samples/sec	CrossEntropy=0.748004	SmoothL1=0.347280
Epoch[187] Batch [280]	Speed: 159.86 samples/sec	CrossEntropy=0.751742	SmoothL1=0.344525
Epoch[187] Batch [300]	Speed: 157.96 samples/sec	CrossEntropy=0.762267	SmoothL1=0.351679
Epoch[187] Batch [320]	Speed: 158.83 samples/sec	CrossEntropy=0.761415	SmoothL1=0.339561
Epoch[187] Batch [340]	Speed: 164.40 samples/sec	CrossEntropy=0.742549	SmoothL1=0.337933
Epoch[187] Train-CrossEntropy=0.773390
Epoch[187] Train-SmoothL1=0.364585
Epoch[187] Time cost=104.238
Epoch[187] Validation-aeroplane=0.483995
Epoch[187] Validation-bicycle=0.509689
Epoch[187] Validation-bird=0.227541
Epoch[187] Validation-boat=0.264296
Epoch[187] Validation-bottle=0.099894
Epoch[187] Validation-bus=0.542969
Epoch[187] Validation-car=0.569889
Epoch[187] Validation-cat=0.500045
Epoch[187] Validation-chair=0.234796
Epoch[187] Validation-cow=0.255624
Epoch[187] Validation-diningtable=0.486749
Epoch[187] Validation-dog=0.443689
Epoch[187] Validation-horse=0.587874
Epoch[187] Validation-motorbike=0.572970
Epoch[187] Validation-person=0.534490
Epoch[187] Validation-pottedplant=0.151280
Epoch[187] Validation-sheep=0.372897
Epoch[187] Validation-sofa=0.384681
Epoch[187] Validation-train=0.604492
Epoch[187] Validation-tvmonitor=0.396517
Epoch[187] Validation-mAP=0.411219
Epoch[188] Batch [20]	Speed: 153.21 samples/sec	CrossEntropy=0.743305	SmoothL1=0.355267
Epoch[188] Batch [40]	Speed: 157.09 samples/sec	CrossEntropy=0.748840	SmoothL1=0.352432
Epoch[188] Batch [60]	Speed: 160.19 samples/sec	CrossEntropy=0.750407	SmoothL1=0.343520
Epoch[188] Batch [80]	Speed: 158.63 samples/sec	CrossEntropy=0.756359	SmoothL1=0.353883
Epoch[188] Batch [100]	Speed: 153.56 samples/sec	CrossEntropy=0.747842	SmoothL1=0.339133
Epoch[188] Batch [120]	Speed: 158.22 samples/sec	CrossEntropy=0.755580	SmoothL1=0.375015
Epoch[188] Batch [140]	Speed: 159.80 samples/sec	CrossEntropy=0.734911	SmoothL1=0.351488
Epoch[188] Batch [160]	Speed: 157.17 samples/sec	CrossEntropy=0.759451	SmoothL1=0.343514
Epoch[188] Batch [180]	Speed: 156.70 samples/sec	CrossEntropy=0.748946	SmoothL1=0.351511
Epoch[188] Batch [200]	Speed: 157.25 samples/sec	CrossEntropy=0.736436	SmoothL1=0.336176
Epoch[188] Batch [220]	Speed: 160.69 samples/sec	CrossEntropy=0.755166	SmoothL1=0.343354
Epoch[188] Batch [240]	Speed: 160.95 samples/sec	CrossEntropy=0.755420	SmoothL1=0.345610
Epoch[188] Batch [260]	Speed: 157.52 samples/sec	CrossEntropy=0.748136	SmoothL1=0.352152
Epoch[188] Batch [280]	Speed: 159.01 samples/sec	CrossEntropy=0.750383	SmoothL1=0.359848
Epoch[188] Batch [300]	Speed: 159.67 samples/sec	CrossEntropy=0.742652	SmoothL1=0.340828
Epoch[188] Batch [320]	Speed: 158.68 samples/sec	CrossEntropy=0.741256	SmoothL1=0.324487
Epoch[188] Batch [340]	Speed: 163.04 samples/sec	CrossEntropy=0.756766	SmoothL1=0.338268
Epoch[188] Train-CrossEntropy=0.776290
Epoch[188] Train-SmoothL1=0.330236
Epoch[188] Time cost=104.420
Epoch[188] Validation-aeroplane=0.488731
Epoch[188] Validation-bicycle=0.517365
Epoch[188] Validation-bird=0.229373
Epoch[188] Validation-boat=0.267332
Epoch[188] Validation-bottle=0.100326
Epoch[188] Validation-bus=0.538826
Epoch[188] Validation-car=0.571398
Epoch[188] Validation-cat=0.497891
Epoch[188] Validation-chair=0.234949
Epoch[188] Validation-cow=0.256619
Epoch[188] Validation-diningtable=0.491567
Epoch[188] Validation-dog=0.442364
Epoch[188] Validation-horse=0.589215
Epoch[188] Validation-motorbike=0.568098
Epoch[188] Validation-person=0.533546
Epoch[188] Validation-pottedplant=0.150509
Epoch[188] Validation-sheep=0.374251
Epoch[188] Validation-sofa=0.386028
Epoch[188] Validation-train=0.612178
Epoch[188] Validation-tvmonitor=0.401837
Epoch[188] Validation-mAP=0.412620
Epoch[189] Batch [20]	Speed: 151.04 samples/sec	CrossEntropy=0.751363	SmoothL1=0.353824
Epoch[189] Batch [40]	Speed: 156.26 samples/sec	CrossEntropy=0.733981	SmoothL1=0.338791
Epoch[189] Batch [60]	Speed: 153.68 samples/sec	CrossEntropy=0.746877	SmoothL1=0.354547
Epoch[189] Batch [80]	Speed: 158.88 samples/sec	CrossEntropy=0.756926	SmoothL1=0.362861
Epoch[189] Batch [100]	Speed: 157.62 samples/sec	CrossEntropy=0.756654	SmoothL1=0.345476
Epoch[189] Batch [120]	Speed: 157.40 samples/sec	CrossEntropy=0.735486	SmoothL1=0.350123
Epoch[189] Batch [140]	Speed: 157.49 samples/sec	CrossEntropy=0.728857	SmoothL1=0.356002
Epoch[189] Batch [160]	Speed: 156.77 samples/sec	CrossEntropy=0.753689	SmoothL1=0.347053
Epoch[189] Batch [180]	Speed: 154.58 samples/sec	CrossEntropy=0.736819	SmoothL1=0.337760
Epoch[189] Batch [200]	Speed: 158.18 samples/sec	CrossEntropy=0.742524	SmoothL1=0.338336
Epoch[189] Batch [220]	Speed: 156.56 samples/sec	CrossEntropy=0.741240	SmoothL1=0.344887
Epoch[189] Batch [240]	Speed: 159.69 samples/sec	CrossEntropy=0.762259	SmoothL1=0.349776
Epoch[189] Batch [260]	Speed: 156.91 samples/sec	CrossEntropy=0.732195	SmoothL1=0.349986
Epoch[189] Batch [280]	Speed: 154.98 samples/sec	CrossEntropy=0.752777	SmoothL1=0.366337
Epoch[189] Batch [300]	Speed: 158.78 samples/sec	CrossEntropy=0.744678	SmoothL1=0.341771
Epoch[189] Batch [320]	Speed: 160.74 samples/sec	CrossEntropy=0.739164	SmoothL1=0.331200
Epoch[189] Batch [340]	Speed: 166.51 samples/sec	CrossEntropy=0.757504	SmoothL1=0.350173
Epoch[189] Train-CrossEntropy=0.757275
Epoch[189] Train-SmoothL1=0.309158
Epoch[189] Time cost=104.734
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0190.params"
Epoch[189] Validation-aeroplane=0.482657
Epoch[189] Validation-bicycle=0.507761
Epoch[189] Validation-bird=0.223033
Epoch[189] Validation-boat=0.253504
Epoch[189] Validation-bottle=0.100451
Epoch[189] Validation-bus=0.542222
Epoch[189] Validation-car=0.572260
Epoch[189] Validation-cat=0.509268
Epoch[189] Validation-chair=0.240901
Epoch[189] Validation-cow=0.253277
Epoch[189] Validation-diningtable=0.499245
Epoch[189] Validation-dog=0.433839
Epoch[189] Validation-horse=0.579000
Epoch[189] Validation-motorbike=0.577997
Epoch[189] Validation-person=0.534087
Epoch[189] Validation-pottedplant=0.153533
Epoch[189] Validation-sheep=0.368160
Epoch[189] Validation-sofa=0.394674
Epoch[189] Validation-train=0.615794
Epoch[189] Validation-tvmonitor=0.408152
Epoch[189] Validation-mAP=0.412491
Epoch[190] Batch [20]	Speed: 150.01 samples/sec	CrossEntropy=0.760576	SmoothL1=0.365658
Epoch[190] Batch [40]	Speed: 160.46 samples/sec	CrossEntropy=0.748111	SmoothL1=0.349543
Epoch[190] Batch [60]	Speed: 159.36 samples/sec	CrossEntropy=0.744093	SmoothL1=0.340871
Epoch[190] Batch [80]	Speed: 155.91 samples/sec	CrossEntropy=0.760191	SmoothL1=0.351511
Epoch[190] Batch [100]	Speed: 159.39 samples/sec	CrossEntropy=0.760819	SmoothL1=0.354609
Epoch[190] Batch [120]	Speed: 156.45 samples/sec	CrossEntropy=0.749493	SmoothL1=0.351019
Epoch[190] Batch [140]	Speed: 158.66 samples/sec	CrossEntropy=0.743899	SmoothL1=0.355976
Epoch[190] Batch [160]	Speed: 158.16 samples/sec	CrossEntropy=0.763723	SmoothL1=0.350353
Epoch[190] Batch [180]	Speed: 159.24 samples/sec	CrossEntropy=0.741649	SmoothL1=0.351777
Epoch[190] Batch [200]	Speed: 156.79 samples/sec	CrossEntropy=0.739113	SmoothL1=0.351459
Epoch[190] Batch [220]	Speed: 158.33 samples/sec	CrossEntropy=0.744872	SmoothL1=0.336640
Epoch[190] Batch [240]	Speed: 158.65 samples/sec	CrossEntropy=0.752410	SmoothL1=0.347998
Epoch[190] Batch [260]	Speed: 158.45 samples/sec	CrossEntropy=0.742655	SmoothL1=0.350034
Epoch[190] Batch [280]	Speed: 154.86 samples/sec	CrossEntropy=0.753043	SmoothL1=0.367482
Epoch[190] Batch [300]	Speed: 160.73 samples/sec	CrossEntropy=0.761731	SmoothL1=0.349806
Epoch[190] Batch [320]	Speed: 160.49 samples/sec	CrossEntropy=0.736830	SmoothL1=0.338959
Epoch[190] Batch [340]	Speed: 160.72 samples/sec	CrossEntropy=0.760768	SmoothL1=0.335310
Epoch[190] Train-CrossEntropy=0.741804
Epoch[190] Train-SmoothL1=0.343445
Epoch[190] Time cost=104.901
Epoch[190] Validation-aeroplane=0.489252
Epoch[190] Validation-bicycle=0.512597
Epoch[190] Validation-bird=0.224643
Epoch[190] Validation-boat=0.260367
Epoch[190] Validation-bottle=0.100711
Epoch[190] Validation-bus=0.546697
Epoch[190] Validation-car=0.571667
Epoch[190] Validation-cat=0.506538
Epoch[190] Validation-chair=0.235292
Epoch[190] Validation-cow=0.257514
Epoch[190] Validation-diningtable=0.498201
Epoch[190] Validation-dog=0.438021
Epoch[190] Validation-horse=0.586812
Epoch[190] Validation-motorbike=0.587745
Epoch[190] Validation-person=0.536168
Epoch[190] Validation-pottedplant=0.152244
Epoch[190] Validation-sheep=0.374227
Epoch[190] Validation-sofa=0.376563
Epoch[190] Validation-train=0.615567
Epoch[190] Validation-tvmonitor=0.399500
Epoch[190] Validation-mAP=0.413516
Epoch[191] Batch [20]	Speed: 153.18 samples/sec	CrossEntropy=0.754858	SmoothL1=0.342427
Epoch[191] Batch [40]	Speed: 156.73 samples/sec	CrossEntropy=0.746381	SmoothL1=0.357847
Epoch[191] Batch [60]	Speed: 156.51 samples/sec	CrossEntropy=0.749215	SmoothL1=0.350562
Epoch[191] Batch [80]	Speed: 159.99 samples/sec	CrossEntropy=0.758388	SmoothL1=0.359396
Epoch[191] Batch [100]	Speed: 160.34 samples/sec	CrossEntropy=0.743114	SmoothL1=0.348540
Epoch[191] Batch [120]	Speed: 156.42 samples/sec	CrossEntropy=0.748734	SmoothL1=0.356941
Epoch[191] Batch [140]	Speed: 156.97 samples/sec	CrossEntropy=0.731849	SmoothL1=0.337824
Epoch[191] Batch [160]	Speed: 155.50 samples/sec	CrossEntropy=0.752136	SmoothL1=0.350182
Epoch[191] Batch [180]	Speed: 157.92 samples/sec	CrossEntropy=0.743985	SmoothL1=0.337035
Epoch[191] Batch [200]	Speed: 156.87 samples/sec	CrossEntropy=0.740658	SmoothL1=0.333519
Epoch[191] Batch [220]	Speed: 157.96 samples/sec	CrossEntropy=0.741199	SmoothL1=0.340847
Epoch[191] Batch [240]	Speed: 157.60 samples/sec	CrossEntropy=0.753547	SmoothL1=0.341921
Epoch[191] Batch [260]	Speed: 156.67 samples/sec	CrossEntropy=0.747268	SmoothL1=0.357380
Epoch[191] Batch [280]	Speed: 160.27 samples/sec	CrossEntropy=0.745123	SmoothL1=0.353003
Epoch[191] Batch [300]	Speed: 157.81 samples/sec	CrossEntropy=0.741209	SmoothL1=0.341855
Epoch[191] Batch [320]	Speed: 157.51 samples/sec	CrossEntropy=0.741732	SmoothL1=0.346675
Epoch[191] Batch [340]	Speed: 160.60 samples/sec	CrossEntropy=0.747150	SmoothL1=0.344887
Epoch[191] Train-CrossEntropy=0.767311
Epoch[191] Train-SmoothL1=0.336029
Epoch[191] Time cost=104.948
Epoch[191] Validation-aeroplane=0.489030
Epoch[191] Validation-bicycle=0.505675
Epoch[191] Validation-bird=0.224796
Epoch[191] Validation-boat=0.268666
Epoch[191] Validation-bottle=0.100737
Epoch[191] Validation-bus=0.537529
Epoch[191] Validation-car=0.571025
Epoch[191] Validation-cat=0.500862
Epoch[191] Validation-chair=0.235003
Epoch[191] Validation-cow=0.260976
Epoch[191] Validation-diningtable=0.498836
Epoch[191] Validation-dog=0.433591
Epoch[191] Validation-horse=0.575805
Epoch[191] Validation-motorbike=0.583805
Epoch[191] Validation-person=0.533651
Epoch[191] Validation-pottedplant=0.154953
Epoch[191] Validation-sheep=0.374850
Epoch[191] Validation-sofa=0.382947
Epoch[191] Validation-train=0.602711
Epoch[191] Validation-tvmonitor=0.405607
Epoch[191] Validation-mAP=0.412053
Epoch[192] Batch [20]	Speed: 149.47 samples/sec	CrossEntropy=0.754521	SmoothL1=0.358547
Epoch[192] Batch [40]	Speed: 152.48 samples/sec	CrossEntropy=0.747014	SmoothL1=0.341134
Epoch[192] Batch [60]	Speed: 156.78 samples/sec	CrossEntropy=0.751387	SmoothL1=0.345680
Epoch[192] Batch [80]	Speed: 158.68 samples/sec	CrossEntropy=0.751264	SmoothL1=0.333959
Epoch[192] Batch [100]	Speed: 156.41 samples/sec	CrossEntropy=0.735354	SmoothL1=0.334287
Epoch[192] Batch [120]	Speed: 159.62 samples/sec	CrossEntropy=0.752815	SmoothL1=0.362333
Epoch[192] Batch [140]	Speed: 160.23 samples/sec	CrossEntropy=0.738057	SmoothL1=0.340421
Epoch[192] Batch [160]	Speed: 155.58 samples/sec	CrossEntropy=0.754845	SmoothL1=0.331032
Epoch[192] Batch [180]	Speed: 158.15 samples/sec	CrossEntropy=0.736818	SmoothL1=0.336187
Epoch[192] Batch [200]	Speed: 159.59 samples/sec	CrossEntropy=0.735521	SmoothL1=0.330483
Epoch[192] Batch [220]	Speed: 156.93 samples/sec	CrossEntropy=0.739939	SmoothL1=0.348610
Epoch[192] Batch [240]	Speed: 156.20 samples/sec	CrossEntropy=0.746434	SmoothL1=0.334672
Epoch[192] Batch [260]	Speed: 158.98 samples/sec	CrossEntropy=0.736290	SmoothL1=0.348335
Epoch[192] Batch [280]	Speed: 153.55 samples/sec	CrossEntropy=0.741427	SmoothL1=0.345866
Epoch[192] Batch [300]	Speed: 160.25 samples/sec	CrossEntropy=0.761844	SmoothL1=0.356234
Epoch[192] Batch [320]	Speed: 158.97 samples/sec	CrossEntropy=0.736888	SmoothL1=0.330650
Epoch[192] Batch [340]	Speed: 164.11 samples/sec	CrossEntropy=0.746448	SmoothL1=0.343654
Epoch[192] Train-CrossEntropy=0.759380
Epoch[192] Train-SmoothL1=0.356966
Epoch[192] Time cost=105.069
Epoch[192] Validation-aeroplane=0.490209
Epoch[192] Validation-bicycle=0.512436
Epoch[192] Validation-bird=0.231833
Epoch[192] Validation-boat=0.259405
Epoch[192] Validation-bottle=0.101032
Epoch[192] Validation-bus=0.536771
Epoch[192] Validation-car=0.566062
Epoch[192] Validation-cat=0.510628
Epoch[192] Validation-chair=0.235287
Epoch[192] Validation-cow=0.254607
Epoch[192] Validation-diningtable=0.484635
Epoch[192] Validation-dog=0.441222
Epoch[192] Validation-horse=0.586051
Epoch[192] Validation-motorbike=0.577128
Epoch[192] Validation-person=0.535235
Epoch[192] Validation-pottedplant=0.152728
Epoch[192] Validation-sheep=0.373999
Epoch[192] Validation-sofa=0.388853
Epoch[192] Validation-train=0.621163
Epoch[192] Validation-tvmonitor=0.399830
Epoch[192] Validation-mAP=0.412956
Epoch[193] Batch [20]	Speed: 153.96 samples/sec	CrossEntropy=0.760763	SmoothL1=0.353240
Epoch[193] Batch [40]	Speed: 153.94 samples/sec	CrossEntropy=0.736011	SmoothL1=0.325318
Epoch[193] Batch [60]	Speed: 155.90 samples/sec	CrossEntropy=0.754064	SmoothL1=0.351315
Epoch[193] Batch [80]	Speed: 157.16 samples/sec	CrossEntropy=0.747455	SmoothL1=0.342384
Epoch[193] Batch [100]	Speed: 157.62 samples/sec	CrossEntropy=0.749220	SmoothL1=0.344993
Epoch[193] Batch [120]	Speed: 157.77 samples/sec	CrossEntropy=0.741139	SmoothL1=0.358081
Epoch[193] Batch [140]	Speed: 157.11 samples/sec	CrossEntropy=0.731646	SmoothL1=0.338773
Epoch[193] Batch [160]	Speed: 156.67 samples/sec	CrossEntropy=0.755502	SmoothL1=0.326800
Epoch[193] Batch [180]	Speed: 156.22 samples/sec	CrossEntropy=0.728054	SmoothL1=0.350567
Epoch[193] Batch [200]	Speed: 156.62 samples/sec	CrossEntropy=0.746886	SmoothL1=0.347369
Epoch[193] Batch [220]	Speed: 157.05 samples/sec	CrossEntropy=0.748319	SmoothL1=0.340143
Epoch[193] Batch [240]	Speed: 157.58 samples/sec	CrossEntropy=0.752445	SmoothL1=0.354697
Epoch[193] Batch [260]	Speed: 156.77 samples/sec	CrossEntropy=0.749926	SmoothL1=0.362061
Epoch[193] Batch [280]	Speed: 158.32 samples/sec	CrossEntropy=0.762013	SmoothL1=0.353393
Epoch[193] Batch [300]	Speed: 157.22 samples/sec	CrossEntropy=0.762917	SmoothL1=0.343169
Epoch[193] Batch [320]	Speed: 161.91 samples/sec	CrossEntropy=0.735424	SmoothL1=0.336972
Epoch[193] Batch [340]	Speed: 160.64 samples/sec	CrossEntropy=0.754152	SmoothL1=0.340865
Epoch[193] Train-CrossEntropy=0.774931
Epoch[193] Train-SmoothL1=0.342378
Epoch[193] Time cost=105.123
Epoch[193] Validation-aeroplane=0.484802
Epoch[193] Validation-bicycle=0.507390
Epoch[193] Validation-bird=0.227821
Epoch[193] Validation-boat=0.264980
Epoch[193] Validation-bottle=0.100018
Epoch[193] Validation-bus=0.540194
Epoch[193] Validation-car=0.566975
Epoch[193] Validation-cat=0.502834
Epoch[193] Validation-chair=0.238636
Epoch[193] Validation-cow=0.258458
Epoch[193] Validation-diningtable=0.499197
Epoch[193] Validation-dog=0.439129
Epoch[193] Validation-horse=0.584740
Epoch[193] Validation-motorbike=0.578462
Epoch[193] Validation-person=0.536419
Epoch[193] Validation-pottedplant=0.147832
Epoch[193] Validation-sheep=0.373469
Epoch[193] Validation-sofa=0.386485
Epoch[193] Validation-train=0.611567
Epoch[193] Validation-tvmonitor=0.399824
Epoch[193] Validation-mAP=0.412462
Epoch[194] Batch [20]	Speed: 151.04 samples/sec	CrossEntropy=0.734013	SmoothL1=0.357003
Epoch[194] Batch [40]	Speed: 160.90 samples/sec	CrossEntropy=0.731125	SmoothL1=0.335367
Epoch[194] Batch [60]	Speed: 157.62 samples/sec	CrossEntropy=0.745716	SmoothL1=0.344613
Epoch[194] Batch [80]	Speed: 159.72 samples/sec	CrossEntropy=0.749981	SmoothL1=0.355645
Epoch[194] Batch [100]	Speed: 158.74 samples/sec	CrossEntropy=0.730158	SmoothL1=0.320828
Epoch[194] Batch [120]	Speed: 158.58 samples/sec	CrossEntropy=0.735564	SmoothL1=0.349741
Epoch[194] Batch [140]	Speed: 156.07 samples/sec	CrossEntropy=0.747052	SmoothL1=0.343968
Epoch[194] Batch [160]	Speed: 158.93 samples/sec	CrossEntropy=0.751181	SmoothL1=0.344392
Epoch[194] Batch [180]	Speed: 159.36 samples/sec	CrossEntropy=0.742565	SmoothL1=0.348881
Epoch[194] Batch [200]	Speed: 155.44 samples/sec	CrossEntropy=0.736176	SmoothL1=0.341049
Epoch[194] Batch [220]	Speed: 154.67 samples/sec	CrossEntropy=0.745898	SmoothL1=0.351675
Epoch[194] Batch [240]	Speed: 158.66 samples/sec	CrossEntropy=0.754901	SmoothL1=0.341237
Epoch[194] Batch [260]	Speed: 160.22 samples/sec	CrossEntropy=0.749552	SmoothL1=0.353227
Epoch[194] Batch [280]	Speed: 160.83 samples/sec	CrossEntropy=0.761429	SmoothL1=0.356500
Epoch[194] Batch [300]	Speed: 160.36 samples/sec	CrossEntropy=0.743512	SmoothL1=0.344866
Epoch[194] Batch [320]	Speed: 159.15 samples/sec	CrossEntropy=0.736841	SmoothL1=0.335633
Epoch[194] Batch [340]	Speed: 159.59 samples/sec	CrossEntropy=0.750805	SmoothL1=0.345447
Epoch[194] Train-CrossEntropy=0.767111
Epoch[194] Train-SmoothL1=0.330789
Epoch[194] Time cost=104.532
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0195.params"
Epoch[194] Validation-aeroplane=0.484832
Epoch[194] Validation-bicycle=0.520031
Epoch[194] Validation-bird=0.232563
Epoch[194] Validation-boat=0.275226
Epoch[194] Validation-bottle=0.100390
Epoch[194] Validation-bus=0.544229
Epoch[194] Validation-car=0.568148
Epoch[194] Validation-cat=0.505526
Epoch[194] Validation-chair=0.232209
Epoch[194] Validation-cow=0.251079
Epoch[194] Validation-diningtable=0.492114
Epoch[194] Validation-dog=0.438225
Epoch[194] Validation-horse=0.589363
Epoch[194] Validation-motorbike=0.579462
Epoch[194] Validation-person=0.538960
Epoch[194] Validation-pottedplant=0.149672
Epoch[194] Validation-sheep=0.373590
Epoch[194] Validation-sofa=0.388649
Epoch[194] Validation-train=0.616523
Epoch[194] Validation-tvmonitor=0.403678
Epoch[194] Validation-mAP=0.414224
Epoch[195] Batch [20]	Speed: 146.65 samples/sec	CrossEntropy=0.742735	SmoothL1=0.352089
Epoch[195] Batch [40]	Speed: 160.04 samples/sec	CrossEntropy=0.735558	SmoothL1=0.336713
Epoch[195] Batch [60]	Speed: 152.80 samples/sec	CrossEntropy=0.749530	SmoothL1=0.343284
Epoch[195] Batch [80]	Speed: 157.18 samples/sec	CrossEntropy=0.756858	SmoothL1=0.339413
Epoch[195] Batch [100]	Speed: 156.87 samples/sec	CrossEntropy=0.750111	SmoothL1=0.339467
Epoch[195] Batch [120]	Speed: 160.60 samples/sec	CrossEntropy=0.755976	SmoothL1=0.362829
Epoch[195] Batch [140]	Speed: 156.78 samples/sec	CrossEntropy=0.735342	SmoothL1=0.354099
Epoch[195] Batch [160]	Speed: 161.26 samples/sec	CrossEntropy=0.753110	SmoothL1=0.331687
Epoch[195] Batch [180]	Speed: 156.23 samples/sec	CrossEntropy=0.747156	SmoothL1=0.349483
Epoch[195] Batch [200]	Speed: 156.05 samples/sec	CrossEntropy=0.733084	SmoothL1=0.334637
Epoch[195] Batch [220]	Speed: 159.39 samples/sec	CrossEntropy=0.748708	SmoothL1=0.340425
Epoch[195] Batch [240]	Speed: 158.57 samples/sec	CrossEntropy=0.755094	SmoothL1=0.349095
Epoch[195] Batch [260]	Speed: 159.63 samples/sec	CrossEntropy=0.745280	SmoothL1=0.350074
Epoch[195] Batch [280]	Speed: 155.93 samples/sec	CrossEntropy=0.760092	SmoothL1=0.355416
Epoch[195] Batch [300]	Speed: 157.40 samples/sec	CrossEntropy=0.750764	SmoothL1=0.344579
Epoch[195] Batch [320]	Speed: 157.87 samples/sec	CrossEntropy=0.743041	SmoothL1=0.334958
Epoch[195] Batch [340]	Speed: 160.68 samples/sec	CrossEntropy=0.758868	SmoothL1=0.348045
Epoch[195] Train-CrossEntropy=0.814465
Epoch[195] Train-SmoothL1=0.343411
Epoch[195] Time cost=104.861
Epoch[195] Validation-aeroplane=0.487020
Epoch[195] Validation-bicycle=0.502245
Epoch[195] Validation-bird=0.229114
Epoch[195] Validation-boat=0.262222
Epoch[195] Validation-bottle=0.100507
Epoch[195] Validation-bus=0.534611
Epoch[195] Validation-car=0.567365
Epoch[195] Validation-cat=0.503461
Epoch[195] Validation-chair=0.233138
Epoch[195] Validation-cow=0.252484
Epoch[195] Validation-diningtable=0.486513
Epoch[195] Validation-dog=0.440414
Epoch[195] Validation-horse=0.593624
Epoch[195] Validation-motorbike=0.575773
Epoch[195] Validation-person=0.535357
Epoch[195] Validation-pottedplant=0.151046
Epoch[195] Validation-sheep=0.375691
Epoch[195] Validation-sofa=0.388757
Epoch[195] Validation-train=0.614749
Epoch[195] Validation-tvmonitor=0.403687
Epoch[195] Validation-mAP=0.411889
Epoch[196] Batch [20]	Speed: 147.96 samples/sec	CrossEntropy=0.754637	SmoothL1=0.351433
Epoch[196] Batch [40]	Speed: 157.03 samples/sec	CrossEntropy=0.737995	SmoothL1=0.337566
Epoch[196] Batch [60]	Speed: 155.43 samples/sec	CrossEntropy=0.752841	SmoothL1=0.347634
Epoch[196] Batch [80]	Speed: 157.17 samples/sec	CrossEntropy=0.763329	SmoothL1=0.353792
Epoch[196] Batch [100]	Speed: 159.00 samples/sec	CrossEntropy=0.753172	SmoothL1=0.345524
Epoch[196] Batch [120]	Speed: 156.89 samples/sec	CrossEntropy=0.744241	SmoothL1=0.351432
Epoch[196] Batch [140]	Speed: 154.50 samples/sec	CrossEntropy=0.750503	SmoothL1=0.343257
Epoch[196] Batch [160]	Speed: 157.78 samples/sec	CrossEntropy=0.746673	SmoothL1=0.334909
Epoch[196] Batch [180]	Speed: 159.45 samples/sec	CrossEntropy=0.739521	SmoothL1=0.337808
Epoch[196] Batch [200]	Speed: 158.78 samples/sec	CrossEntropy=0.733749	SmoothL1=0.333897
Epoch[196] Batch [220]	Speed: 158.03 samples/sec	CrossEntropy=0.736866	SmoothL1=0.334148
Epoch[196] Batch [240]	Speed: 157.96 samples/sec	CrossEntropy=0.753195	SmoothL1=0.341727
Epoch[196] Batch [260]	Speed: 154.80 samples/sec	CrossEntropy=0.745186	SmoothL1=0.350531
Epoch[196] Batch [280]	Speed: 155.23 samples/sec	CrossEntropy=0.745076	SmoothL1=0.360352
Epoch[196] Batch [300]	Speed: 156.55 samples/sec	CrossEntropy=0.745342	SmoothL1=0.353418
Epoch[196] Batch [320]	Speed: 157.76 samples/sec	CrossEntropy=0.736326	SmoothL1=0.338202
Epoch[196] Batch [340]	Speed: 164.12 samples/sec	CrossEntropy=0.754101	SmoothL1=0.344906
Epoch[196] Train-CrossEntropy=0.770077
Epoch[196] Train-SmoothL1=0.368104
Epoch[196] Time cost=105.318
Epoch[196] Validation-aeroplane=0.487114
Epoch[196] Validation-bicycle=0.515157
Epoch[196] Validation-bird=0.230722
Epoch[196] Validation-boat=0.266800
Epoch[196] Validation-bottle=0.100410
Epoch[196] Validation-bus=0.533822
Epoch[196] Validation-car=0.566131
Epoch[196] Validation-cat=0.504094
Epoch[196] Validation-chair=0.228289
Epoch[196] Validation-cow=0.252640
Epoch[196] Validation-diningtable=0.481514
Epoch[196] Validation-dog=0.440054
Epoch[196] Validation-horse=0.591595
Epoch[196] Validation-motorbike=0.586745
Epoch[196] Validation-person=0.536164
Epoch[196] Validation-pottedplant=0.152854
Epoch[196] Validation-sheep=0.372303
Epoch[196] Validation-sofa=0.383293
Epoch[196] Validation-train=0.615703
Epoch[196] Validation-tvmonitor=0.398324
Epoch[196] Validation-mAP=0.412186
Epoch[197] Batch [20]	Speed: 154.22 samples/sec	CrossEntropy=0.746727	SmoothL1=0.347388
Epoch[197] Batch [40]	Speed: 158.29 samples/sec	CrossEntropy=0.750075	SmoothL1=0.347705
Epoch[197] Batch [60]	Speed: 156.63 samples/sec	CrossEntropy=0.745546	SmoothL1=0.341162
Epoch[197] Batch [80]	Speed: 156.89 samples/sec	CrossEntropy=0.763281	SmoothL1=0.349029
Epoch[197] Batch [100]	Speed: 159.73 samples/sec	CrossEntropy=0.753483	SmoothL1=0.345490
Epoch[197] Batch [120]	Speed: 158.66 samples/sec	CrossEntropy=0.737784	SmoothL1=0.354604
Epoch[197] Batch [140]	Speed: 158.00 samples/sec	CrossEntropy=0.734310	SmoothL1=0.329058
Epoch[197] Batch [160]	Speed: 157.52 samples/sec	CrossEntropy=0.751452	SmoothL1=0.341413
Epoch[197] Batch [180]	Speed: 159.12 samples/sec	CrossEntropy=0.729302	SmoothL1=0.334217
Epoch[197] Batch [200]	Speed: 160.12 samples/sec	CrossEntropy=0.741209	SmoothL1=0.337821
Epoch[197] Batch [220]	Speed: 158.45 samples/sec	CrossEntropy=0.741435	SmoothL1=0.342097
Epoch[197] Batch [240]	Speed: 156.15 samples/sec	CrossEntropy=0.738009	SmoothL1=0.342603
Epoch[197] Batch [260]	Speed: 155.96 samples/sec	CrossEntropy=0.747828	SmoothL1=0.347957
Epoch[197] Batch [280]	Speed: 156.06 samples/sec	CrossEntropy=0.749090	SmoothL1=0.362871
Epoch[197] Batch [300]	Speed: 156.87 samples/sec	CrossEntropy=0.749109	SmoothL1=0.354938
Epoch[197] Batch [320]	Speed: 154.53 samples/sec	CrossEntropy=0.737281	SmoothL1=0.333683
Epoch[197] Batch [340]	Speed: 161.02 samples/sec	CrossEntropy=0.763011	SmoothL1=0.341676
Epoch[197] Train-CrossEntropy=0.770841
Epoch[197] Train-SmoothL1=0.338322
Epoch[197] Time cost=104.916
Epoch[197] Validation-aeroplane=0.482535
Epoch[197] Validation-bicycle=0.506286
Epoch[197] Validation-bird=0.234724
Epoch[197] Validation-boat=0.261195
Epoch[197] Validation-bottle=0.100753
Epoch[197] Validation-bus=0.538033
Epoch[197] Validation-car=0.569189
Epoch[197] Validation-cat=0.506309
Epoch[197] Validation-chair=0.236301
Epoch[197] Validation-cow=0.256860
Epoch[197] Validation-diningtable=0.503677
Epoch[197] Validation-dog=0.436450
Epoch[197] Validation-horse=0.590384
Epoch[197] Validation-motorbike=0.574085
Epoch[197] Validation-person=0.536415
Epoch[197] Validation-pottedplant=0.150951
Epoch[197] Validation-sheep=0.370761
Epoch[197] Validation-sofa=0.397558
Epoch[197] Validation-train=0.614927
Epoch[197] Validation-tvmonitor=0.403549
Epoch[197] Validation-mAP=0.413547
Epoch[198] Batch [20]	Speed: 151.98 samples/sec	CrossEntropy=0.743317	SmoothL1=0.353213
Epoch[198] Batch [40]	Speed: 154.52 samples/sec	CrossEntropy=0.734450	SmoothL1=0.344076
Epoch[198] Batch [60]	Speed: 157.17 samples/sec	CrossEntropy=0.747251	SmoothL1=0.349015
Epoch[198] Batch [80]	Speed: 158.21 samples/sec	CrossEntropy=0.749276	SmoothL1=0.348724
Epoch[198] Batch [100]	Speed: 159.08 samples/sec	CrossEntropy=0.739539	SmoothL1=0.320904
Epoch[198] Batch [120]	Speed: 160.90 samples/sec	CrossEntropy=0.746599	SmoothL1=0.357791
Epoch[198] Batch [140]	Speed: 157.18 samples/sec	CrossEntropy=0.733964	SmoothL1=0.338715
Epoch[198] Batch [160]	Speed: 156.64 samples/sec	CrossEntropy=0.762015	SmoothL1=0.358947
Epoch[198] Batch [180]	Speed: 160.70 samples/sec	CrossEntropy=0.738437	SmoothL1=0.351408
Epoch[198] Batch [200]	Speed: 154.62 samples/sec	CrossEntropy=0.741442	SmoothL1=0.326767
Epoch[198] Batch [220]	Speed: 151.60 samples/sec	CrossEntropy=0.734760	SmoothL1=0.336509
Epoch[198] Batch [240]	Speed: 157.85 samples/sec	CrossEntropy=0.757853	SmoothL1=0.352604
Epoch[198] Batch [260]	Speed: 158.86 samples/sec	CrossEntropy=0.746094	SmoothL1=0.347345
Epoch[198] Batch [280]	Speed: 154.39 samples/sec	CrossEntropy=0.745820	SmoothL1=0.342714
Epoch[198] Batch [300]	Speed: 157.99 samples/sec	CrossEntropy=0.755411	SmoothL1=0.345742
Epoch[198] Batch [320]	Speed: 156.12 samples/sec	CrossEntropy=0.743233	SmoothL1=0.336862
Epoch[198] Batch [340]	Speed: 158.63 samples/sec	CrossEntropy=0.743694	SmoothL1=0.338617
Epoch[198] Train-CrossEntropy=0.791277
Epoch[198] Train-SmoothL1=0.373115
Epoch[198] Time cost=105.390
Epoch[198] Validation-aeroplane=0.486877
Epoch[198] Validation-bicycle=0.509263
Epoch[198] Validation-bird=0.228518
Epoch[198] Validation-boat=0.260527
Epoch[198] Validation-bottle=0.101144
Epoch[198] Validation-bus=0.544763
Epoch[198] Validation-car=0.569292
Epoch[198] Validation-cat=0.503030
Epoch[198] Validation-chair=0.233044
Epoch[198] Validation-cow=0.257561
Epoch[198] Validation-diningtable=0.489048
Epoch[198] Validation-dog=0.442787
Epoch[198] Validation-horse=0.591679
Epoch[198] Validation-motorbike=0.581476
Epoch[198] Validation-person=0.537629
Epoch[198] Validation-pottedplant=0.148728
Epoch[198] Validation-sheep=0.375638
Epoch[198] Validation-sofa=0.391813
Epoch[198] Validation-train=0.619000
Epoch[198] Validation-tvmonitor=0.401511
Epoch[198] Validation-mAP=0.413666
Epoch[199] Batch [20]	Speed: 149.53 samples/sec	CrossEntropy=0.752160	SmoothL1=0.356169
Epoch[199] Batch [40]	Speed: 155.46 samples/sec	CrossEntropy=0.733520	SmoothL1=0.333721
Epoch[199] Batch [60]	Speed: 159.44 samples/sec	CrossEntropy=0.772658	SmoothL1=0.346280
Epoch[199] Batch [80]	Speed: 157.03 samples/sec	CrossEntropy=0.743438	SmoothL1=0.344027
Epoch[199] Batch [100]	Speed: 158.23 samples/sec	CrossEntropy=0.760156	SmoothL1=0.357787
Epoch[199] Batch [120]	Speed: 160.42 samples/sec	CrossEntropy=0.743754	SmoothL1=0.345774
Epoch[199] Batch [140]	Speed: 159.79 samples/sec	CrossEntropy=0.749187	SmoothL1=0.344052
Epoch[199] Batch [160]	Speed: 160.19 samples/sec	CrossEntropy=0.759689	SmoothL1=0.347294
Epoch[199] Batch [180]	Speed: 160.04 samples/sec	CrossEntropy=0.743041	SmoothL1=0.341539
Epoch[199] Batch [200]	Speed: 157.08 samples/sec	CrossEntropy=0.741135	SmoothL1=0.318083
Epoch[199] Batch [220]	Speed: 162.20 samples/sec	CrossEntropy=0.738470	SmoothL1=0.332685
Epoch[199] Batch [240]	Speed: 159.77 samples/sec	CrossEntropy=0.760054	SmoothL1=0.355136
Epoch[199] Batch [260]	Speed: 155.85 samples/sec	CrossEntropy=0.748403	SmoothL1=0.346213
Epoch[199] Batch [280]	Speed: 158.43 samples/sec	CrossEntropy=0.744109	SmoothL1=0.356858
Epoch[199] Batch [300]	Speed: 157.96 samples/sec	CrossEntropy=0.760930	SmoothL1=0.351379
Epoch[199] Batch [320]	Speed: 157.57 samples/sec	CrossEntropy=0.747547	SmoothL1=0.341608
Epoch[199] Batch [340]	Speed: 163.19 samples/sec	CrossEntropy=0.757999	SmoothL1=0.337483
Epoch[199] Train-CrossEntropy=0.778997
Epoch[199] Train-SmoothL1=0.352410
Epoch[199] Time cost=104.392
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0200.params"
Epoch[199] Validation-aeroplane=0.485867
Epoch[199] Validation-bicycle=0.509905
Epoch[199] Validation-bird=0.234200
Epoch[199] Validation-boat=0.265864
Epoch[199] Validation-bottle=0.100670
Epoch[199] Validation-bus=0.536578
Epoch[199] Validation-car=0.572613
Epoch[199] Validation-cat=0.506579
Epoch[199] Validation-chair=0.235009
Epoch[199] Validation-cow=0.258189
Epoch[199] Validation-diningtable=0.491108
Epoch[199] Validation-dog=0.445588
Epoch[199] Validation-horse=0.592502
Epoch[199] Validation-motorbike=0.579168
Epoch[199] Validation-person=0.537401
Epoch[199] Validation-pottedplant=0.149680
Epoch[199] Validation-sheep=0.380877
Epoch[199] Validation-sofa=0.389082
Epoch[199] Validation-train=0.614909
Epoch[199] Validation-tvmonitor=0.407371
Epoch[199] Validation-mAP=0.414658
Epoch[200] Batch [20]	Speed: 147.61 samples/sec	CrossEntropy=0.756341	SmoothL1=0.346255
Epoch[200] Batch [40]	Speed: 157.00 samples/sec	CrossEntropy=0.738018	SmoothL1=0.355405
Epoch[200] Batch [60]	Speed: 158.99 samples/sec	CrossEntropy=0.751576	SmoothL1=0.331959
Epoch[200] Batch [80]	Speed: 154.20 samples/sec	CrossEntropy=0.757206	SmoothL1=0.349239
Epoch[200] Batch [100]	Speed: 157.18 samples/sec	CrossEntropy=0.743199	SmoothL1=0.336492
Epoch[200] Batch [120]	Speed: 158.17 samples/sec	CrossEntropy=0.748008	SmoothL1=0.347919
Epoch[200] Batch [140]	Speed: 155.82 samples/sec	CrossEntropy=0.731383	SmoothL1=0.337618
Epoch[200] Batch [160]	Speed: 156.64 samples/sec	CrossEntropy=0.752842	SmoothL1=0.348630
Epoch[200] Batch [180]	Speed: 154.07 samples/sec	CrossEntropy=0.729897	SmoothL1=0.339642
Epoch[200] Batch [200]	Speed: 160.32 samples/sec	CrossEntropy=0.751618	SmoothL1=0.332160
Epoch[200] Batch [220]	Speed: 157.39 samples/sec	CrossEntropy=0.725922	SmoothL1=0.339632
Epoch[200] Batch [240]	Speed: 157.21 samples/sec	CrossEntropy=0.747416	SmoothL1=0.341716
Epoch[200] Batch [260]	Speed: 155.21 samples/sec	CrossEntropy=0.743144	SmoothL1=0.344709
Epoch[200] Batch [280]	Speed: 159.59 samples/sec	CrossEntropy=0.747753	SmoothL1=0.354273
Epoch[200] Batch [300]	Speed: 156.53 samples/sec	CrossEntropy=0.748021	SmoothL1=0.350821
Epoch[200] Batch [320]	Speed: 156.57 samples/sec	CrossEntropy=0.742523	SmoothL1=0.333906
Epoch[200] Batch [340]	Speed: 161.93 samples/sec	CrossEntropy=0.743545	SmoothL1=0.346654
Epoch[200] Train-CrossEntropy=0.772360
Epoch[200] Train-SmoothL1=0.342524
Epoch[200] Time cost=105.181
Epoch[200] Validation-aeroplane=0.488970
Epoch[200] Validation-bicycle=0.520062
Epoch[200] Validation-bird=0.231584
Epoch[200] Validation-boat=0.271106
Epoch[200] Validation-bottle=0.100438
Epoch[200] Validation-bus=0.543709
Epoch[200] Validation-car=0.570053
Epoch[200] Validation-cat=0.501951
Epoch[200] Validation-chair=0.236912
Epoch[200] Validation-cow=0.256989
Epoch[200] Validation-diningtable=0.490005
Epoch[200] Validation-dog=0.442173
Epoch[200] Validation-horse=0.587804
Epoch[200] Validation-motorbike=0.582123
Epoch[200] Validation-person=0.538000
Epoch[200] Validation-pottedplant=0.152277
Epoch[200] Validation-sheep=0.378778
Epoch[200] Validation-sofa=0.405630
Epoch[200] Validation-train=0.610643
Epoch[200] Validation-tvmonitor=0.403069
Epoch[200] Validation-mAP=0.415614
Epoch[201] Batch [20]	Speed: 148.52 samples/sec	CrossEntropy=0.755748	SmoothL1=0.348220
Epoch[201] Batch [40]	Speed: 160.31 samples/sec	CrossEntropy=0.744726	SmoothL1=0.347700
Epoch[201] Batch [60]	Speed: 161.74 samples/sec	CrossEntropy=0.749025	SmoothL1=0.352017
Epoch[201] Batch [80]	Speed: 158.74 samples/sec	CrossEntropy=0.765278	SmoothL1=0.342348
Epoch[201] Batch [100]	Speed: 160.78 samples/sec	CrossEntropy=0.734510	SmoothL1=0.342382
Epoch[201] Batch [120]	Speed: 154.27 samples/sec	CrossEntropy=0.740917	SmoothL1=0.353724
Epoch[201] Batch [140]	Speed: 160.35 samples/sec	CrossEntropy=0.740946	SmoothL1=0.342597
Epoch[201] Batch [160]	Speed: 159.99 samples/sec	CrossEntropy=0.769774	SmoothL1=0.344277
Epoch[201] Batch [180]	Speed: 157.96 samples/sec	CrossEntropy=0.734720	SmoothL1=0.338699
Epoch[201] Batch [200]	Speed: 159.39 samples/sec	CrossEntropy=0.742511	SmoothL1=0.337764
Epoch[201] Batch [220]	Speed: 159.55 samples/sec	CrossEntropy=0.739646	SmoothL1=0.335293
Epoch[201] Batch [240]	Speed: 158.31 samples/sec	CrossEntropy=0.757629	SmoothL1=0.329448
Epoch[201] Batch [260]	Speed: 158.03 samples/sec	CrossEntropy=0.740521	SmoothL1=0.342774
Epoch[201] Batch [280]	Speed: 159.29 samples/sec	CrossEntropy=0.753376	SmoothL1=0.354326
Epoch[201] Batch [300]	Speed: 156.37 samples/sec	CrossEntropy=0.745067	SmoothL1=0.329421
Epoch[201] Batch [320]	Speed: 159.77 samples/sec	CrossEntropy=0.729048	SmoothL1=0.323604
Epoch[201] Batch [340]	Speed: 162.43 samples/sec	CrossEntropy=0.750533	SmoothL1=0.342711
Epoch[201] Train-CrossEntropy=0.763568
Epoch[201] Train-SmoothL1=0.350883
Epoch[201] Time cost=104.261
Epoch[201] Validation-aeroplane=0.474118
Epoch[201] Validation-bicycle=0.513828
Epoch[201] Validation-bird=0.228534
Epoch[201] Validation-boat=0.262171
Epoch[201] Validation-bottle=0.099983
Epoch[201] Validation-bus=0.547212
Epoch[201] Validation-car=0.567002
Epoch[201] Validation-cat=0.509342
Epoch[201] Validation-chair=0.235473
Epoch[201] Validation-cow=0.261303
Epoch[201] Validation-diningtable=0.492666
Epoch[201] Validation-dog=0.441070
Epoch[201] Validation-horse=0.588817
Epoch[201] Validation-motorbike=0.576636
Epoch[201] Validation-person=0.536562
Epoch[201] Validation-pottedplant=0.156323
Epoch[201] Validation-sheep=0.377620
Epoch[201] Validation-sofa=0.390704
Epoch[201] Validation-train=0.611048
Epoch[201] Validation-tvmonitor=0.405448
Epoch[201] Validation-mAP=0.413793
Epoch[202] Batch [20]	Speed: 152.38 samples/sec	CrossEntropy=0.739480	SmoothL1=0.346267
Epoch[202] Batch [40]	Speed: 158.47 samples/sec	CrossEntropy=0.751306	SmoothL1=0.345562
Epoch[202] Batch [60]	Speed: 156.01 samples/sec	CrossEntropy=0.731084	SmoothL1=0.347656
Epoch[202] Batch [80]	Speed: 159.22 samples/sec	CrossEntropy=0.743511	SmoothL1=0.346856
Epoch[202] Batch [100]	Speed: 155.30 samples/sec	CrossEntropy=0.745401	SmoothL1=0.334419
Epoch[202] Batch [120]	Speed: 159.59 samples/sec	CrossEntropy=0.746041	SmoothL1=0.349772
Epoch[202] Batch [140]	Speed: 154.55 samples/sec	CrossEntropy=0.741236	SmoothL1=0.337659
Epoch[202] Batch [160]	Speed: 156.25 samples/sec	CrossEntropy=0.748882	SmoothL1=0.342700
Epoch[202] Batch [180]	Speed: 155.87 samples/sec	CrossEntropy=0.737536	SmoothL1=0.329005
Epoch[202] Batch [200]	Speed: 156.25 samples/sec	CrossEntropy=0.725517	SmoothL1=0.328199
Epoch[202] Batch [220]	Speed: 158.45 samples/sec	CrossEntropy=0.750515	SmoothL1=0.342557
Epoch[202] Batch [240]	Speed: 160.27 samples/sec	CrossEntropy=0.747505	SmoothL1=0.346093
Epoch[202] Batch [260]	Speed: 156.73 samples/sec	CrossEntropy=0.736456	SmoothL1=0.335685
Epoch[202] Batch [280]	Speed: 150.26 samples/sec	CrossEntropy=0.749216	SmoothL1=0.347353
Epoch[202] Batch [300]	Speed: 158.32 samples/sec	CrossEntropy=0.748152	SmoothL1=0.339551
Epoch[202] Batch [320]	Speed: 155.54 samples/sec	CrossEntropy=0.745290	SmoothL1=0.326684
Epoch[202] Batch [340]	Speed: 160.43 samples/sec	CrossEntropy=0.748512	SmoothL1=0.325811
Epoch[202] Train-CrossEntropy=0.750050
Epoch[202] Train-SmoothL1=0.329932
Epoch[202] Time cost=105.483
Epoch[202] Validation-aeroplane=0.486790
Epoch[202] Validation-bicycle=0.509332
Epoch[202] Validation-bird=0.236313
Epoch[202] Validation-boat=0.264701
Epoch[202] Validation-bottle=0.100390
Epoch[202] Validation-bus=0.535421
Epoch[202] Validation-car=0.567062
Epoch[202] Validation-cat=0.502450
Epoch[202] Validation-chair=0.234832
Epoch[202] Validation-cow=0.255259
Epoch[202] Validation-diningtable=0.497652
Epoch[202] Validation-dog=0.444095
Epoch[202] Validation-horse=0.581671
Epoch[202] Validation-motorbike=0.574020
Epoch[202] Validation-person=0.533880
Epoch[202] Validation-pottedplant=0.152122
Epoch[202] Validation-sheep=0.379192
Epoch[202] Validation-sofa=0.378574
Epoch[202] Validation-train=0.605893
Epoch[202] Validation-tvmonitor=0.405430
Epoch[202] Validation-mAP=0.412254
Epoch[203] Batch [20]	Speed: 151.03 samples/sec	CrossEntropy=0.753917	SmoothL1=0.348958
Epoch[203] Batch [40]	Speed: 159.74 samples/sec	CrossEntropy=0.756205	SmoothL1=0.348567
Epoch[203] Batch [60]	Speed: 159.05 samples/sec	CrossEntropy=0.742318	SmoothL1=0.336298
Epoch[203] Batch [80]	Speed: 160.56 samples/sec	CrossEntropy=0.748345	SmoothL1=0.339060
Epoch[203] Batch [100]	Speed: 156.54 samples/sec	CrossEntropy=0.752691	SmoothL1=0.343562
Epoch[203] Batch [120]	Speed: 158.46 samples/sec	CrossEntropy=0.746565	SmoothL1=0.352618
Epoch[203] Batch [140]	Speed: 162.40 samples/sec	CrossEntropy=0.740934	SmoothL1=0.352513
Epoch[203] Batch [160]	Speed: 153.75 samples/sec	CrossEntropy=0.741186	SmoothL1=0.345024
Epoch[203] Batch [180]	Speed: 157.29 samples/sec	CrossEntropy=0.741118	SmoothL1=0.344412
Epoch[203] Batch [200]	Speed: 160.78 samples/sec	CrossEntropy=0.739344	SmoothL1=0.330612
Epoch[203] Batch [220]	Speed: 160.07 samples/sec	CrossEntropy=0.745867	SmoothL1=0.329997
Epoch[203] Batch [240]	Speed: 156.79 samples/sec	CrossEntropy=0.753227	SmoothL1=0.354607
Epoch[203] Batch [260]	Speed: 156.12 samples/sec	CrossEntropy=0.749944	SmoothL1=0.349043
Epoch[203] Batch [280]	Speed: 159.59 samples/sec	CrossEntropy=0.752872	SmoothL1=0.360942
Epoch[203] Batch [300]	Speed: 158.06 samples/sec	CrossEntropy=0.756289	SmoothL1=0.347569
Epoch[203] Batch [320]	Speed: 158.90 samples/sec	CrossEntropy=0.735459	SmoothL1=0.335172
Epoch[203] Batch [340]	Speed: 161.95 samples/sec	CrossEntropy=0.749083	SmoothL1=0.338599
Epoch[203] Train-CrossEntropy=0.742191
Epoch[203] Train-SmoothL1=0.356622
Epoch[203] Time cost=104.441
Epoch[203] Validation-aeroplane=0.482454
Epoch[203] Validation-bicycle=0.511131
Epoch[203] Validation-bird=0.227882
Epoch[203] Validation-boat=0.266910
Epoch[203] Validation-bottle=0.100882
Epoch[203] Validation-bus=0.545261
Epoch[203] Validation-car=0.567917
Epoch[203] Validation-cat=0.506687
Epoch[203] Validation-chair=0.235669
Epoch[203] Validation-cow=0.252103
Epoch[203] Validation-diningtable=0.496819
Epoch[203] Validation-dog=0.443354
Epoch[203] Validation-horse=0.582545
Epoch[203] Validation-motorbike=0.579493
Epoch[203] Validation-person=0.536659
Epoch[203] Validation-pottedplant=0.154124
Epoch[203] Validation-sheep=0.376662
Epoch[203] Validation-sofa=0.379098
Epoch[203] Validation-train=0.614253
Epoch[203] Validation-tvmonitor=0.401762
Epoch[203] Validation-mAP=0.413083
Epoch[204] Batch [20]	Speed: 148.08 samples/sec	CrossEntropy=0.756834	SmoothL1=0.352880
Epoch[204] Batch [40]	Speed: 159.23 samples/sec	CrossEntropy=0.734118	SmoothL1=0.342426
Epoch[204] Batch [60]	Speed: 160.58 samples/sec	CrossEntropy=0.753423	SmoothL1=0.347028
Epoch[204] Batch [80]	Speed: 155.54 samples/sec	CrossEntropy=0.732965	SmoothL1=0.341420
Epoch[204] Batch [100]	Speed: 157.81 samples/sec	CrossEntropy=0.743759	SmoothL1=0.333350
Epoch[204] Batch [120]	Speed: 156.13 samples/sec	CrossEntropy=0.754954	SmoothL1=0.362665
Epoch[204] Batch [140]	Speed: 157.43 samples/sec	CrossEntropy=0.747902	SmoothL1=0.353929
Epoch[204] Batch [160]	Speed: 158.81 samples/sec	CrossEntropy=0.755020	SmoothL1=0.342260
Epoch[204] Batch [180]	Speed: 154.94 samples/sec	CrossEntropy=0.739050	SmoothL1=0.338224
Epoch[204] Batch [200]	Speed: 161.23 samples/sec	CrossEntropy=0.749918	SmoothL1=0.344607
Epoch[204] Batch [220]	Speed: 155.52 samples/sec	CrossEntropy=0.737483	SmoothL1=0.341154
Epoch[204] Batch [240]	Speed: 160.68 samples/sec	CrossEntropy=0.750637	SmoothL1=0.339913
Epoch[204] Batch [260]	Speed: 151.86 samples/sec	CrossEntropy=0.747835	SmoothL1=0.339456
Epoch[204] Batch [280]	Speed: 157.23 samples/sec	CrossEntropy=0.747097	SmoothL1=0.352353
Epoch[204] Batch [300]	Speed: 158.63 samples/sec	CrossEntropy=0.754349	SmoothL1=0.335208
Epoch[204] Batch [320]	Speed: 158.58 samples/sec	CrossEntropy=0.739713	SmoothL1=0.329034
Epoch[204] Batch [340]	Speed: 161.38 samples/sec	CrossEntropy=0.760738	SmoothL1=0.346766
Epoch[204] Train-CrossEntropy=0.727647
Epoch[204] Train-SmoothL1=0.305228
Epoch[204] Time cost=105.152
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0205.params"
Epoch[204] Validation-aeroplane=0.489384
Epoch[204] Validation-bicycle=0.511502
Epoch[204] Validation-bird=0.230873
Epoch[204] Validation-boat=0.264371
Epoch[204] Validation-bottle=0.101032
Epoch[204] Validation-bus=0.551022
Epoch[204] Validation-car=0.568498
Epoch[204] Validation-cat=0.509746
Epoch[204] Validation-chair=0.237671
Epoch[204] Validation-cow=0.258979
Epoch[204] Validation-diningtable=0.483007
Epoch[204] Validation-dog=0.440039
Epoch[204] Validation-horse=0.588016
Epoch[204] Validation-motorbike=0.586038
Epoch[204] Validation-person=0.535660
Epoch[204] Validation-pottedplant=0.149541
Epoch[204] Validation-sheep=0.373198
Epoch[204] Validation-sofa=0.398741
Epoch[204] Validation-train=0.625651
Epoch[204] Validation-tvmonitor=0.405752
Epoch[204] Validation-mAP=0.415436
Epoch[205] Batch [20]	Speed: 148.11 samples/sec	CrossEntropy=0.743388	SmoothL1=0.350053
Epoch[205] Batch [40]	Speed: 155.02 samples/sec	CrossEntropy=0.728827	SmoothL1=0.341623
Epoch[205] Batch [60]	Speed: 156.82 samples/sec	CrossEntropy=0.740521	SmoothL1=0.346346
Epoch[205] Batch [80]	Speed: 158.60 samples/sec	CrossEntropy=0.750858	SmoothL1=0.353244
Epoch[205] Batch [100]	Speed: 156.55 samples/sec	CrossEntropy=0.753040	SmoothL1=0.350689
Epoch[205] Batch [120]	Speed: 157.03 samples/sec	CrossEntropy=0.744016	SmoothL1=0.351062
Epoch[205] Batch [140]	Speed: 158.24 samples/sec	CrossEntropy=0.739416	SmoothL1=0.342320
Epoch[205] Batch [160]	Speed: 157.01 samples/sec	CrossEntropy=0.764871	SmoothL1=0.338158
Epoch[205] Batch [180]	Speed: 161.22 samples/sec	CrossEntropy=0.734005	SmoothL1=0.340399
Epoch[205] Batch [200]	Speed: 156.15 samples/sec	CrossEntropy=0.737061	SmoothL1=0.331444
Epoch[205] Batch [220]	Speed: 159.73 samples/sec	CrossEntropy=0.733651	SmoothL1=0.339982
Epoch[205] Batch [240]	Speed: 157.48 samples/sec	CrossEntropy=0.756129	SmoothL1=0.341856
Epoch[205] Batch [260]	Speed: 156.74 samples/sec	CrossEntropy=0.737649	SmoothL1=0.349536
Epoch[205] Batch [280]	Speed: 152.96 samples/sec	CrossEntropy=0.759821	SmoothL1=0.346413
Epoch[205] Batch [300]	Speed: 157.53 samples/sec	CrossEntropy=0.753040	SmoothL1=0.347346
Epoch[205] Batch [320]	Speed: 157.40 samples/sec	CrossEntropy=0.730452	SmoothL1=0.328564
Epoch[205] Batch [340]	Speed: 166.27 samples/sec	CrossEntropy=0.756842	SmoothL1=0.352026
Epoch[205] Train-CrossEntropy=0.773699
Epoch[205] Train-SmoothL1=0.342836
Epoch[205] Time cost=104.863
Epoch[205] Validation-aeroplane=0.492845
Epoch[205] Validation-bicycle=0.511218
Epoch[205] Validation-bird=0.227515
Epoch[205] Validation-boat=0.267235
Epoch[205] Validation-bottle=0.101399
Epoch[205] Validation-bus=0.546590
Epoch[205] Validation-car=0.572830
Epoch[205] Validation-cat=0.508748
Epoch[205] Validation-chair=0.238514
Epoch[205] Validation-cow=0.257549
Epoch[205] Validation-diningtable=0.497200
Epoch[205] Validation-dog=0.443277
Epoch[205] Validation-horse=0.578446
Epoch[205] Validation-motorbike=0.581024
Epoch[205] Validation-person=0.536751
Epoch[205] Validation-pottedplant=0.147620
Epoch[205] Validation-sheep=0.378389
Epoch[205] Validation-sofa=0.383609
Epoch[205] Validation-train=0.615201
Epoch[205] Validation-tvmonitor=0.405257
Epoch[205] Validation-mAP=0.414561
Epoch[206] Batch [20]	Speed: 150.33 samples/sec	CrossEntropy=0.748789	SmoothL1=0.350534
Epoch[206] Batch [40]	Speed: 155.13 samples/sec	CrossEntropy=0.749302	SmoothL1=0.340998
Epoch[206] Batch [60]	Speed: 160.36 samples/sec	CrossEntropy=0.747329	SmoothL1=0.346441
Epoch[206] Batch [80]	Speed: 157.95 samples/sec	CrossEntropy=0.750790	SmoothL1=0.351929
Epoch[206] Batch [100]	Speed: 160.05 samples/sec	CrossEntropy=0.746157	SmoothL1=0.332403
Epoch[206] Batch [120]	Speed: 158.34 samples/sec	CrossEntropy=0.750434	SmoothL1=0.357195
Epoch[206] Batch [140]	Speed: 161.74 samples/sec	CrossEntropy=0.754134	SmoothL1=0.343946
Epoch[206] Batch [160]	Speed: 156.74 samples/sec	CrossEntropy=0.763685	SmoothL1=0.333452
Epoch[206] Batch [180]	Speed: 158.30 samples/sec	CrossEntropy=0.746182	SmoothL1=0.348050
Epoch[206] Batch [200]	Speed: 152.92 samples/sec	CrossEntropy=0.738656	SmoothL1=0.327247
Epoch[206] Batch [220]	Speed: 155.47 samples/sec	CrossEntropy=0.745023	SmoothL1=0.328653
Epoch[206] Batch [240]	Speed: 156.72 samples/sec	CrossEntropy=0.755865	SmoothL1=0.345897
Epoch[206] Batch [260]	Speed: 156.06 samples/sec	CrossEntropy=0.757783	SmoothL1=0.350028
Epoch[206] Batch [280]	Speed: 156.45 samples/sec	CrossEntropy=0.758869	SmoothL1=0.350882
Epoch[206] Batch [300]	Speed: 159.05 samples/sec	CrossEntropy=0.749338	SmoothL1=0.332629
Epoch[206] Batch [320]	Speed: 160.23 samples/sec	CrossEntropy=0.743622	SmoothL1=0.331316
Epoch[206] Batch [340]	Speed: 165.20 samples/sec	CrossEntropy=0.750701	SmoothL1=0.335140
Epoch[206] Train-CrossEntropy=0.766732
Epoch[206] Train-SmoothL1=0.360235
Epoch[206] Time cost=105.139
Epoch[206] Validation-aeroplane=0.483490
Epoch[206] Validation-bicycle=0.518052
Epoch[206] Validation-bird=0.227180
Epoch[206] Validation-boat=0.264999
Epoch[206] Validation-bottle=0.099966
Epoch[206] Validation-bus=0.549473
Epoch[206] Validation-car=0.570190
Epoch[206] Validation-cat=0.511584
Epoch[206] Validation-chair=0.238799
Epoch[206] Validation-cow=0.255157
Epoch[206] Validation-diningtable=0.486757
Epoch[206] Validation-dog=0.437419
Epoch[206] Validation-horse=0.581415
Epoch[206] Validation-motorbike=0.581126
Epoch[206] Validation-person=0.533355
Epoch[206] Validation-pottedplant=0.148768
Epoch[206] Validation-sheep=0.380195
Epoch[206] Validation-sofa=0.403111
Epoch[206] Validation-train=0.621809
Epoch[206] Validation-tvmonitor=0.401115
Epoch[206] Validation-mAP=0.414698
Epoch[207] Batch [20]	Speed: 154.39 samples/sec	CrossEntropy=0.754436	SmoothL1=0.369219
Epoch[207] Batch [40]	Speed: 158.85 samples/sec	CrossEntropy=0.746796	SmoothL1=0.350958
Epoch[207] Batch [60]	Speed: 159.49 samples/sec	CrossEntropy=0.760993	SmoothL1=0.342829
Epoch[207] Batch [80]	Speed: 154.63 samples/sec	CrossEntropy=0.744563	SmoothL1=0.333237
Epoch[207] Batch [100]	Speed: 158.93 samples/sec	CrossEntropy=0.752217	SmoothL1=0.326510
Epoch[207] Batch [120]	Speed: 158.18 samples/sec	CrossEntropy=0.736966	SmoothL1=0.348594
Epoch[207] Batch [140]	Speed: 157.77 samples/sec	CrossEntropy=0.744244	SmoothL1=0.345588
Epoch[207] Batch [160]	Speed: 159.04 samples/sec	CrossEntropy=0.765798	SmoothL1=0.339883
Epoch[207] Batch [180]	Speed: 156.35 samples/sec	CrossEntropy=0.738861	SmoothL1=0.345152
Epoch[207] Batch [200]	Speed: 157.06 samples/sec	CrossEntropy=0.735116	SmoothL1=0.329273
Epoch[207] Batch [220]	Speed: 157.92 samples/sec	CrossEntropy=0.746630	SmoothL1=0.348409
Epoch[207] Batch [240]	Speed: 158.96 samples/sec	CrossEntropy=0.754905	SmoothL1=0.341264
Epoch[207] Batch [260]	Speed: 148.17 samples/sec	CrossEntropy=0.736275	SmoothL1=0.347887
Epoch[207] Batch [280]	Speed: 154.40 samples/sec	CrossEntropy=0.751750	SmoothL1=0.360495
Epoch[207] Batch [300]	Speed: 153.60 samples/sec	CrossEntropy=0.754279	SmoothL1=0.352561
Epoch[207] Batch [320]	Speed: 161.54 samples/sec	CrossEntropy=0.748844	SmoothL1=0.335430
Epoch[207] Batch [340]	Speed: 163.91 samples/sec	CrossEntropy=0.744646	SmoothL1=0.350116
Epoch[207] Train-CrossEntropy=0.750205
Epoch[207] Train-SmoothL1=0.342389
Epoch[207] Time cost=105.178
Epoch[207] Validation-aeroplane=0.478868
Epoch[207] Validation-bicycle=0.507822
Epoch[207] Validation-bird=0.238904
Epoch[207] Validation-boat=0.261251
Epoch[207] Validation-bottle=0.102054
Epoch[207] Validation-bus=0.540370
Epoch[207] Validation-car=0.566625
Epoch[207] Validation-cat=0.508278
Epoch[207] Validation-chair=0.234375
Epoch[207] Validation-cow=0.257389
Epoch[207] Validation-diningtable=0.493171
Epoch[207] Validation-dog=0.444832
Epoch[207] Validation-horse=0.588371
Epoch[207] Validation-motorbike=0.580590
Epoch[207] Validation-person=0.534785
Epoch[207] Validation-pottedplant=0.152696
Epoch[207] Validation-sheep=0.381293
Epoch[207] Validation-sofa=0.378248
Epoch[207] Validation-train=0.613526
Epoch[207] Validation-tvmonitor=0.403486
Epoch[207] Validation-mAP=0.413347
Epoch[208] Batch [20]	Speed: 154.53 samples/sec	CrossEntropy=0.747492	SmoothL1=0.340511
Epoch[208] Batch [40]	Speed: 151.57 samples/sec	CrossEntropy=0.736909	SmoothL1=0.346761
Epoch[208] Batch [60]	Speed: 154.70 samples/sec	CrossEntropy=0.754933	SmoothL1=0.344341
Epoch[208] Batch [80]	Speed: 153.62 samples/sec	CrossEntropy=0.760441	SmoothL1=0.354553
Epoch[208] Batch [100]	Speed: 153.79 samples/sec	CrossEntropy=0.742459	SmoothL1=0.340065
Epoch[208] Batch [120]	Speed: 153.42 samples/sec	CrossEntropy=0.748960	SmoothL1=0.344751
Epoch[208] Batch [140]	Speed: 159.53 samples/sec	CrossEntropy=0.751238	SmoothL1=0.349656
Epoch[208] Batch [160]	Speed: 156.30 samples/sec	CrossEntropy=0.747538	SmoothL1=0.346474
Epoch[208] Batch [180]	Speed: 158.54 samples/sec	CrossEntropy=0.728329	SmoothL1=0.347449
Epoch[208] Batch [200]	Speed: 159.21 samples/sec	CrossEntropy=0.729598	SmoothL1=0.327481
Epoch[208] Batch [220]	Speed: 157.69 samples/sec	CrossEntropy=0.732434	SmoothL1=0.330677
Epoch[208] Batch [240]	Speed: 159.95 samples/sec	CrossEntropy=0.748878	SmoothL1=0.343173
Epoch[208] Batch [260]	Speed: 156.43 samples/sec	CrossEntropy=0.753781	SmoothL1=0.356252
Epoch[208] Batch [280]	Speed: 157.43 samples/sec	CrossEntropy=0.743855	SmoothL1=0.360081
Epoch[208] Batch [300]	Speed: 155.94 samples/sec	CrossEntropy=0.748040	SmoothL1=0.335896
Epoch[208] Batch [320]	Speed: 158.26 samples/sec	CrossEntropy=0.740290	SmoothL1=0.329047
Epoch[208] Batch [340]	Speed: 164.58 samples/sec	CrossEntropy=0.753529	SmoothL1=0.335940
Epoch[208] Train-CrossEntropy=0.750494
Epoch[208] Train-SmoothL1=0.303777
Epoch[208] Time cost=105.482
Epoch[208] Validation-aeroplane=0.484465
Epoch[208] Validation-bicycle=0.507122
Epoch[208] Validation-bird=0.231615
Epoch[208] Validation-boat=0.265026
Epoch[208] Validation-bottle=0.100588
Epoch[208] Validation-bus=0.539450
Epoch[208] Validation-car=0.564282
Epoch[208] Validation-cat=0.508145
Epoch[208] Validation-chair=0.233918
Epoch[208] Validation-cow=0.254288
Epoch[208] Validation-diningtable=0.488348
Epoch[208] Validation-dog=0.440761
Epoch[208] Validation-horse=0.590022
Epoch[208] Validation-motorbike=0.576021
Epoch[208] Validation-person=0.536636
Epoch[208] Validation-pottedplant=0.153639
Epoch[208] Validation-sheep=0.382294
Epoch[208] Validation-sofa=0.384093
Epoch[208] Validation-train=0.614265
Epoch[208] Validation-tvmonitor=0.402841
Epoch[208] Validation-mAP=0.412891
Epoch[209] Batch [20]	Speed: 144.01 samples/sec	CrossEntropy=0.762851	SmoothL1=0.346077
Epoch[209] Batch [40]	Speed: 159.88 samples/sec	CrossEntropy=0.750026	SmoothL1=0.349586
Epoch[209] Batch [60]	Speed: 157.83 samples/sec	CrossEntropy=0.758080	SmoothL1=0.337031
Epoch[209] Batch [80]	Speed: 155.74 samples/sec	CrossEntropy=0.750797	SmoothL1=0.343913
Epoch[209] Batch [100]	Speed: 160.94 samples/sec	CrossEntropy=0.741099	SmoothL1=0.338129
Epoch[209] Batch [120]	Speed: 157.09 samples/sec	CrossEntropy=0.751044	SmoothL1=0.342971
Epoch[209] Batch [140]	Speed: 156.19 samples/sec	CrossEntropy=0.730126	SmoothL1=0.337830
Epoch[209] Batch [160]	Speed: 159.33 samples/sec	CrossEntropy=0.746697	SmoothL1=0.348478
Epoch[209] Batch [180]	Speed: 153.11 samples/sec	CrossEntropy=0.738909	SmoothL1=0.340005
Epoch[209] Batch [200]	Speed: 158.16 samples/sec	CrossEntropy=0.744896	SmoothL1=0.332889
Epoch[209] Batch [220]	Speed: 156.33 samples/sec	CrossEntropy=0.734257	SmoothL1=0.339081
Epoch[209] Batch [240]	Speed: 157.44 samples/sec	CrossEntropy=0.751846	SmoothL1=0.342293
Epoch[209] Batch [260]	Speed: 160.96 samples/sec	CrossEntropy=0.739187	SmoothL1=0.348431
Epoch[209] Batch [280]	Speed: 160.19 samples/sec	CrossEntropy=0.745374	SmoothL1=0.354407
Epoch[209] Batch [300]	Speed: 155.81 samples/sec	CrossEntropy=0.751604	SmoothL1=0.346792
Epoch[209] Batch [320]	Speed: 160.68 samples/sec	CrossEntropy=0.739185	SmoothL1=0.324398
Epoch[209] Batch [340]	Speed: 161.14 samples/sec	CrossEntropy=0.755668	SmoothL1=0.342122
Epoch[209] Train-CrossEntropy=0.775146
Epoch[209] Train-SmoothL1=0.350995
Epoch[209] Time cost=105.165
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0210.params"
Epoch[209] Validation-aeroplane=0.477646
Epoch[209] Validation-bicycle=0.507030
Epoch[209] Validation-bird=0.226656
Epoch[209] Validation-boat=0.267626
Epoch[209] Validation-bottle=0.101032
Epoch[209] Validation-bus=0.545561
Epoch[209] Validation-car=0.566834
Epoch[209] Validation-cat=0.505704
Epoch[209] Validation-chair=0.234425
Epoch[209] Validation-cow=0.256822
Epoch[209] Validation-diningtable=0.493282
Epoch[209] Validation-dog=0.434467
Epoch[209] Validation-horse=0.588293
Epoch[209] Validation-motorbike=0.584002
Epoch[209] Validation-person=0.537202
Epoch[209] Validation-pottedplant=0.148652
Epoch[209] Validation-sheep=0.377214
Epoch[209] Validation-sofa=0.380632
Epoch[209] Validation-train=0.610710
Epoch[209] Validation-tvmonitor=0.403696
Epoch[209] Validation-mAP=0.412374
Epoch[210] Batch [20]	Speed: 153.11 samples/sec	CrossEntropy=0.758939	SmoothL1=0.358507
Epoch[210] Batch [40]	Speed: 158.05 samples/sec	CrossEntropy=0.744260	SmoothL1=0.332049
Epoch[210] Batch [60]	Speed: 158.84 samples/sec	CrossEntropy=0.743011	SmoothL1=0.340225
Epoch[210] Batch [80]	Speed: 161.54 samples/sec	CrossEntropy=0.760339	SmoothL1=0.358462
Epoch[210] Batch [100]	Speed: 158.16 samples/sec	CrossEntropy=0.745406	SmoothL1=0.338191
Epoch[210] Batch [120]	Speed: 158.42 samples/sec	CrossEntropy=0.743865	SmoothL1=0.362119
Epoch[210] Batch [140]	Speed: 160.97 samples/sec	CrossEntropy=0.745791	SmoothL1=0.339331
Epoch[210] Batch [160]	Speed: 156.62 samples/sec	CrossEntropy=0.752457	SmoothL1=0.347252
Epoch[210] Batch [180]	Speed: 155.59 samples/sec	CrossEntropy=0.739836	SmoothL1=0.348608
Epoch[210] Batch [200]	Speed: 161.41 samples/sec	CrossEntropy=0.735056	SmoothL1=0.326419
Epoch[210] Batch [220]	Speed: 157.83 samples/sec	CrossEntropy=0.747706	SmoothL1=0.341741
Epoch[210] Batch [240]	Speed: 159.97 samples/sec	CrossEntropy=0.762600	SmoothL1=0.347043
Epoch[210] Batch [260]	Speed: 159.37 samples/sec	CrossEntropy=0.746136	SmoothL1=0.344801
Epoch[210] Batch [280]	Speed: 160.67 samples/sec	CrossEntropy=0.748894	SmoothL1=0.360309
Epoch[210] Batch [300]	Speed: 158.82 samples/sec	CrossEntropy=0.741880	SmoothL1=0.359228
Epoch[210] Batch [320]	Speed: 160.27 samples/sec	CrossEntropy=0.733388	SmoothL1=0.326963
Epoch[210] Batch [340]	Speed: 161.38 samples/sec	CrossEntropy=0.752309	SmoothL1=0.335495
Epoch[210] Train-CrossEntropy=0.815500
Epoch[210] Train-SmoothL1=0.349496
Epoch[210] Time cost=104.034
Epoch[210] Validation-aeroplane=0.487546
Epoch[210] Validation-bicycle=0.511787
Epoch[210] Validation-bird=0.234799
Epoch[210] Validation-boat=0.263822
Epoch[210] Validation-bottle=0.099437
Epoch[210] Validation-bus=0.540841
Epoch[210] Validation-car=0.568842
Epoch[210] Validation-cat=0.507504
Epoch[210] Validation-chair=0.235598
Epoch[210] Validation-cow=0.256244
Epoch[210] Validation-diningtable=0.497483
Epoch[210] Validation-dog=0.445304
Epoch[210] Validation-horse=0.590241
Epoch[210] Validation-motorbike=0.579870
Epoch[210] Validation-person=0.538825
Epoch[210] Validation-pottedplant=0.154617
Epoch[210] Validation-sheep=0.377239
Epoch[210] Validation-sofa=0.377752
Epoch[210] Validation-train=0.614182
Epoch[210] Validation-tvmonitor=0.404998
Epoch[210] Validation-mAP=0.414347
Epoch[211] Batch [20]	Speed: 150.30 samples/sec	CrossEntropy=0.745872	SmoothL1=0.357976
Epoch[211] Batch [40]	Speed: 158.91 samples/sec	CrossEntropy=0.743846	SmoothL1=0.347642
Epoch[211] Batch [60]	Speed: 157.97 samples/sec	CrossEntropy=0.760893	SmoothL1=0.342608
Epoch[211] Batch [80]	Speed: 160.87 samples/sec	CrossEntropy=0.748858	SmoothL1=0.337311
Epoch[211] Batch [100]	Speed: 157.53 samples/sec	CrossEntropy=0.750796	SmoothL1=0.341206
Epoch[211] Batch [120]	Speed: 157.34 samples/sec	CrossEntropy=0.737238	SmoothL1=0.347336
Epoch[211] Batch [140]	Speed: 157.17 samples/sec	CrossEntropy=0.736207	SmoothL1=0.333481
Epoch[211] Batch [160]	Speed: 161.36 samples/sec	CrossEntropy=0.762535	SmoothL1=0.347279
Epoch[211] Batch [180]	Speed: 156.15 samples/sec	CrossEntropy=0.746900	SmoothL1=0.342868
Epoch[211] Batch [200]	Speed: 160.06 samples/sec	CrossEntropy=0.733272	SmoothL1=0.326131
Epoch[211] Batch [220]	Speed: 153.62 samples/sec	CrossEntropy=0.740562	SmoothL1=0.347402
Epoch[211] Batch [240]	Speed: 158.69 samples/sec	CrossEntropy=0.744429	SmoothL1=0.342524
Epoch[211] Batch [260]	Speed: 160.22 samples/sec	CrossEntropy=0.741655	SmoothL1=0.336424
Epoch[211] Batch [280]	Speed: 161.19 samples/sec	CrossEntropy=0.750962	SmoothL1=0.359936
Epoch[211] Batch [300]	Speed: 159.77 samples/sec	CrossEntropy=0.757920	SmoothL1=0.348990
Epoch[211] Batch [320]	Speed: 160.89 samples/sec	CrossEntropy=0.739127	SmoothL1=0.324302
Epoch[211] Batch [340]	Speed: 161.66 samples/sec	CrossEntropy=0.752823	SmoothL1=0.335204
Epoch[211] Train-CrossEntropy=0.784522
Epoch[211] Train-SmoothL1=0.362414
Epoch[211] Time cost=104.096
Epoch[211] Validation-aeroplane=0.489981
Epoch[211] Validation-bicycle=0.504160
Epoch[211] Validation-bird=0.225690
Epoch[211] Validation-boat=0.259123
Epoch[211] Validation-bottle=0.099308
Epoch[211] Validation-bus=0.536999
Epoch[211] Validation-car=0.564869
Epoch[211] Validation-cat=0.506345
Epoch[211] Validation-chair=0.237925
Epoch[211] Validation-cow=0.255867
Epoch[211] Validation-diningtable=0.490330
Epoch[211] Validation-dog=0.439799
Epoch[211] Validation-horse=0.587462
Epoch[211] Validation-motorbike=0.570040
Epoch[211] Validation-person=0.534859
Epoch[211] Validation-pottedplant=0.152204
Epoch[211] Validation-sheep=0.373446
Epoch[211] Validation-sofa=0.395526
Epoch[211] Validation-train=0.613419
Epoch[211] Validation-tvmonitor=0.405575
Epoch[211] Validation-mAP=0.412146
Epoch[212] Batch [20]	Speed: 153.68 samples/sec	CrossEntropy=0.745067	SmoothL1=0.343601
Epoch[212] Batch [40]	Speed: 156.82 samples/sec	CrossEntropy=0.736501	SmoothL1=0.349484
Epoch[212] Batch [60]	Speed: 156.31 samples/sec	CrossEntropy=0.733436	SmoothL1=0.331296
Epoch[212] Batch [80]	Speed: 158.84 samples/sec	CrossEntropy=0.750944	SmoothL1=0.344946
Epoch[212] Batch [100]	Speed: 158.16 samples/sec	CrossEntropy=0.746717	SmoothL1=0.349511
Epoch[212] Batch [120]	Speed: 157.54 samples/sec	CrossEntropy=0.744932	SmoothL1=0.358903
Epoch[212] Batch [140]	Speed: 154.39 samples/sec	CrossEntropy=0.735596	SmoothL1=0.347203
Epoch[212] Batch [160]	Speed: 160.69 samples/sec	CrossEntropy=0.756815	SmoothL1=0.341852
Epoch[212] Batch [180]	Speed: 157.60 samples/sec	CrossEntropy=0.729933	SmoothL1=0.345349
Epoch[212] Batch [200]	Speed: 159.71 samples/sec	CrossEntropy=0.737765	SmoothL1=0.338318
Epoch[212] Batch [220]	Speed: 159.63 samples/sec	CrossEntropy=0.747278	SmoothL1=0.333407
Epoch[212] Batch [240]	Speed: 160.47 samples/sec	CrossEntropy=0.759370	SmoothL1=0.344540
Epoch[212] Batch [260]	Speed: 157.37 samples/sec	CrossEntropy=0.746485	SmoothL1=0.351783
Epoch[212] Batch [280]	Speed: 156.75 samples/sec	CrossEntropy=0.744378	SmoothL1=0.359481
Epoch[212] Batch [300]	Speed: 156.17 samples/sec	CrossEntropy=0.751891	SmoothL1=0.353754
Epoch[212] Batch [320]	Speed: 156.26 samples/sec	CrossEntropy=0.741064	SmoothL1=0.340939
Epoch[212] Batch [340]	Speed: 161.41 samples/sec	CrossEntropy=0.741020	SmoothL1=0.335073
Epoch[212] Train-CrossEntropy=0.757464
Epoch[212] Train-SmoothL1=0.326149
Epoch[212] Time cost=104.773
Epoch[212] Validation-aeroplane=0.489360
Epoch[212] Validation-bicycle=0.518273
Epoch[212] Validation-bird=0.231357
Epoch[212] Validation-boat=0.267475
Epoch[212] Validation-bottle=0.099929
Epoch[212] Validation-bus=0.543678
Epoch[212] Validation-car=0.568308
Epoch[212] Validation-cat=0.505890
Epoch[212] Validation-chair=0.238044
Epoch[212] Validation-cow=0.255025
Epoch[212] Validation-diningtable=0.489813
Epoch[212] Validation-dog=0.442157
Epoch[212] Validation-horse=0.586928
Epoch[212] Validation-motorbike=0.581573
Epoch[212] Validation-person=0.537336
Epoch[212] Validation-pottedplant=0.152420
Epoch[212] Validation-sheep=0.377429
Epoch[212] Validation-sofa=0.385839
Epoch[212] Validation-train=0.621576
Epoch[212] Validation-tvmonitor=0.408845
Epoch[212] Validation-mAP=0.415063
Epoch[213] Batch [20]	Speed: 149.73 samples/sec	CrossEntropy=0.748050	SmoothL1=0.357251
Epoch[213] Batch [40]	Speed: 158.82 samples/sec	CrossEntropy=0.744234	SmoothL1=0.340034
Epoch[213] Batch [60]	Speed: 157.86 samples/sec	CrossEntropy=0.744013	SmoothL1=0.346591
Epoch[213] Batch [80]	Speed: 160.27 samples/sec	CrossEntropy=0.759288	SmoothL1=0.349778
Epoch[213] Batch [100]	Speed: 157.74 samples/sec	CrossEntropy=0.736444	SmoothL1=0.329710
Epoch[213] Batch [120]	Speed: 153.76 samples/sec	CrossEntropy=0.743604	SmoothL1=0.349771
Epoch[213] Batch [140]	Speed: 158.38 samples/sec	CrossEntropy=0.734004	SmoothL1=0.346581
Epoch[213] Batch [160]	Speed: 158.10 samples/sec	CrossEntropy=0.752183	SmoothL1=0.354251
Epoch[213] Batch [180]	Speed: 160.52 samples/sec	CrossEntropy=0.723975	SmoothL1=0.342936
Epoch[213] Batch [200]	Speed: 155.22 samples/sec	CrossEntropy=0.741975	SmoothL1=0.334838
Epoch[213] Batch [220]	Speed: 157.94 samples/sec	CrossEntropy=0.744279	SmoothL1=0.330861
Epoch[213] Batch [240]	Speed: 155.31 samples/sec	CrossEntropy=0.747573	SmoothL1=0.343056
Epoch[213] Batch [260]	Speed: 160.61 samples/sec	CrossEntropy=0.754848	SmoothL1=0.351113
Epoch[213] Batch [280]	Speed: 158.71 samples/sec	CrossEntropy=0.737743	SmoothL1=0.349105
Epoch[213] Batch [300]	Speed: 160.07 samples/sec	CrossEntropy=0.748150	SmoothL1=0.356827
Epoch[213] Batch [320]	Speed: 160.01 samples/sec	CrossEntropy=0.740358	SmoothL1=0.328314
Epoch[213] Batch [340]	Speed: 163.23 samples/sec	CrossEntropy=0.759504	SmoothL1=0.341780
Epoch[213] Train-CrossEntropy=0.771984
Epoch[213] Train-SmoothL1=0.339082
Epoch[213] Time cost=104.621
Epoch[213] Validation-aeroplane=0.483947
Epoch[213] Validation-bicycle=0.505731
Epoch[213] Validation-bird=0.227282
Epoch[213] Validation-boat=0.260310
Epoch[213] Validation-bottle=0.099591
Epoch[213] Validation-bus=0.545818
Epoch[213] Validation-car=0.569140
Epoch[213] Validation-cat=0.506377
Epoch[213] Validation-chair=0.237387
Epoch[213] Validation-cow=0.260118
Epoch[213] Validation-diningtable=0.492160
Epoch[213] Validation-dog=0.442340
Epoch[213] Validation-horse=0.590721
Epoch[213] Validation-motorbike=0.568221
Epoch[213] Validation-person=0.536278
Epoch[213] Validation-pottedplant=0.159199
Epoch[213] Validation-sheep=0.365057
Epoch[213] Validation-sofa=0.380403
Epoch[213] Validation-train=0.615244
Epoch[213] Validation-tvmonitor=0.408698
Epoch[213] Validation-mAP=0.412701
Epoch[214] Batch [20]	Speed: 150.86 samples/sec	CrossEntropy=0.734792	SmoothL1=0.353169
Epoch[214] Batch [40]	Speed: 159.33 samples/sec	CrossEntropy=0.746092	SmoothL1=0.345857
Epoch[214] Batch [60]	Speed: 157.01 samples/sec	CrossEntropy=0.741166	SmoothL1=0.354798
Epoch[214] Batch [80]	Speed: 159.93 samples/sec	CrossEntropy=0.752934	SmoothL1=0.345765
Epoch[214] Batch [100]	Speed: 153.65 samples/sec	CrossEntropy=0.745725	SmoothL1=0.342804
Epoch[214] Batch [120]	Speed: 159.09 samples/sec	CrossEntropy=0.743150	SmoothL1=0.359012
Epoch[214] Batch [140]	Speed: 158.42 samples/sec	CrossEntropy=0.737361	SmoothL1=0.339662
Epoch[214] Batch [160]	Speed: 154.67 samples/sec	CrossEntropy=0.755619	SmoothL1=0.343679
Epoch[214] Batch [180]	Speed: 156.85 samples/sec	CrossEntropy=0.724371	SmoothL1=0.345434
Epoch[214] Batch [200]	Speed: 157.07 samples/sec	CrossEntropy=0.726949	SmoothL1=0.337052
Epoch[214] Batch [220]	Speed: 161.77 samples/sec	CrossEntropy=0.745778	SmoothL1=0.339854
Epoch[214] Batch [240]	Speed: 161.44 samples/sec	CrossEntropy=0.737753	SmoothL1=0.341979
Epoch[214] Batch [260]	Speed: 156.98 samples/sec	CrossEntropy=0.751754	SmoothL1=0.337426
Epoch[214] Batch [280]	Speed: 159.70 samples/sec	CrossEntropy=0.743572	SmoothL1=0.349425
Epoch[214] Batch [300]	Speed: 157.53 samples/sec	CrossEntropy=0.741833	SmoothL1=0.348732
Epoch[214] Batch [320]	Speed: 157.11 samples/sec	CrossEntropy=0.739231	SmoothL1=0.345858
Epoch[214] Batch [340]	Speed: 161.46 samples/sec	CrossEntropy=0.749884	SmoothL1=0.330836
Epoch[214] Train-CrossEntropy=0.770434
Epoch[214] Train-SmoothL1=0.392828
Epoch[214] Time cost=104.760
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0215.params"
Epoch[214] Validation-aeroplane=0.483805
Epoch[214] Validation-bicycle=0.514446
Epoch[214] Validation-bird=0.235778
Epoch[214] Validation-boat=0.264407
Epoch[214] Validation-bottle=0.099825
Epoch[214] Validation-bus=0.548931
Epoch[214] Validation-car=0.566876
Epoch[214] Validation-cat=0.509171
Epoch[214] Validation-chair=0.236604
Epoch[214] Validation-cow=0.261871
Epoch[214] Validation-diningtable=0.491835
Epoch[214] Validation-dog=0.446894
Epoch[214] Validation-horse=0.589421
Epoch[214] Validation-motorbike=0.579028
Epoch[214] Validation-person=0.537741
Epoch[214] Validation-pottedplant=0.157643
Epoch[214] Validation-sheep=0.375496
Epoch[214] Validation-sofa=0.385722
Epoch[214] Validation-train=0.616693
Epoch[214] Validation-tvmonitor=0.409957
Epoch[214] Validation-mAP=0.415607
Epoch[215] Batch [20]	Speed: 154.30 samples/sec	CrossEntropy=0.745688	SmoothL1=0.345561
Epoch[215] Batch [40]	Speed: 157.38 samples/sec	CrossEntropy=0.740869	SmoothL1=0.334446
Epoch[215] Batch [60]	Speed: 158.89 samples/sec	CrossEntropy=0.750262	SmoothL1=0.333894
Epoch[215] Batch [80]	Speed: 158.63 samples/sec	CrossEntropy=0.738169	SmoothL1=0.349692
Epoch[215] Batch [100]	Speed: 156.45 samples/sec	CrossEntropy=0.748311	SmoothL1=0.342293
Epoch[215] Batch [120]	Speed: 157.96 samples/sec	CrossEntropy=0.749923	SmoothL1=0.346757
Epoch[215] Batch [140]	Speed: 154.12 samples/sec	CrossEntropy=0.732837	SmoothL1=0.341687
Epoch[215] Batch [160]	Speed: 154.72 samples/sec	CrossEntropy=0.757268	SmoothL1=0.351676
Epoch[215] Batch [180]	Speed: 157.36 samples/sec	CrossEntropy=0.738295	SmoothL1=0.355878
Epoch[215] Batch [200]	Speed: 156.78 samples/sec	CrossEntropy=0.739734	SmoothL1=0.332153
Epoch[215] Batch [220]	Speed: 157.96 samples/sec	CrossEntropy=0.753717	SmoothL1=0.342380
Epoch[215] Batch [240]	Speed: 158.39 samples/sec	CrossEntropy=0.758048	SmoothL1=0.350381
Epoch[215] Batch [260]	Speed: 159.75 samples/sec	CrossEntropy=0.741424	SmoothL1=0.343606
Epoch[215] Batch [280]	Speed: 156.22 samples/sec	CrossEntropy=0.742543	SmoothL1=0.345370
Epoch[215] Batch [300]	Speed: 160.50 samples/sec	CrossEntropy=0.760444	SmoothL1=0.349067
Epoch[215] Batch [320]	Speed: 159.41 samples/sec	CrossEntropy=0.730405	SmoothL1=0.327370
Epoch[215] Batch [340]	Speed: 163.07 samples/sec	CrossEntropy=0.739449	SmoothL1=0.334886
Epoch[215] Train-CrossEntropy=0.770267
Epoch[215] Train-SmoothL1=0.360574
Epoch[215] Time cost=104.777
Epoch[215] Validation-aeroplane=0.485492
Epoch[215] Validation-bicycle=0.506305
Epoch[215] Validation-bird=0.236099
Epoch[215] Validation-boat=0.268084
Epoch[215] Validation-bottle=0.099608
Epoch[215] Validation-bus=0.544065
Epoch[215] Validation-car=0.568287
Epoch[215] Validation-cat=0.506441
Epoch[215] Validation-chair=0.239580
Epoch[215] Validation-cow=0.267321
Epoch[215] Validation-diningtable=0.501273
Epoch[215] Validation-dog=0.444665
Epoch[215] Validation-horse=0.588720
Epoch[215] Validation-motorbike=0.579166
Epoch[215] Validation-person=0.539793
Epoch[215] Validation-pottedplant=0.157450
Epoch[215] Validation-sheep=0.374620
Epoch[215] Validation-sofa=0.393228
Epoch[215] Validation-train=0.615334
Epoch[215] Validation-tvmonitor=0.402261
Epoch[215] Validation-mAP=0.415890
Epoch[216] Batch [20]	Speed: 145.98 samples/sec	CrossEntropy=0.753543	SmoothL1=0.355774
Epoch[216] Batch [40]	Speed: 154.91 samples/sec	CrossEntropy=0.739431	SmoothL1=0.338491
Epoch[216] Batch [60]	Speed: 161.31 samples/sec	CrossEntropy=0.753698	SmoothL1=0.357369
Epoch[216] Batch [80]	Speed: 160.43 samples/sec	CrossEntropy=0.740715	SmoothL1=0.345779
Epoch[216] Batch [100]	Speed: 156.72 samples/sec	CrossEntropy=0.742172	SmoothL1=0.344006
Epoch[216] Batch [120]	Speed: 157.51 samples/sec	CrossEntropy=0.748049	SmoothL1=0.349917
Epoch[216] Batch [140]	Speed: 155.50 samples/sec	CrossEntropy=0.728188	SmoothL1=0.338811
Epoch[216] Batch [160]	Speed: 154.92 samples/sec	CrossEntropy=0.757637	SmoothL1=0.352992
Epoch[216] Batch [180]	Speed: 158.93 samples/sec	CrossEntropy=0.739489	SmoothL1=0.331388
Epoch[216] Batch [200]	Speed: 156.94 samples/sec	CrossEntropy=0.743655	SmoothL1=0.323262
Epoch[216] Batch [220]	Speed: 159.50 samples/sec	CrossEntropy=0.753976	SmoothL1=0.345476
Epoch[216] Batch [240]	Speed: 162.32 samples/sec	CrossEntropy=0.757643	SmoothL1=0.350949
Epoch[216] Batch [260]	Speed: 160.21 samples/sec	CrossEntropy=0.753040	SmoothL1=0.349720
Epoch[216] Batch [280]	Speed: 153.52 samples/sec	CrossEntropy=0.735140	SmoothL1=0.351881
Epoch[216] Batch [300]	Speed: 160.59 samples/sec	CrossEntropy=0.750555	SmoothL1=0.346398
Epoch[216] Batch [320]	Speed: 157.45 samples/sec	CrossEntropy=0.745057	SmoothL1=0.326922
Epoch[216] Batch [340]	Speed: 163.34 samples/sec	CrossEntropy=0.751068	SmoothL1=0.355835
Epoch[216] Train-CrossEntropy=0.739865
Epoch[216] Train-SmoothL1=0.334358
Epoch[216] Time cost=104.614
Epoch[216] Validation-aeroplane=0.483552
Epoch[216] Validation-bicycle=0.506847
Epoch[216] Validation-bird=0.237586
Epoch[216] Validation-boat=0.261247
Epoch[216] Validation-bottle=0.099631
Epoch[216] Validation-bus=0.539663
Epoch[216] Validation-car=0.567128
Epoch[216] Validation-cat=0.515482
Epoch[216] Validation-chair=0.237272
Epoch[216] Validation-cow=0.257240
Epoch[216] Validation-diningtable=0.489674
Epoch[216] Validation-dog=0.447726
Epoch[216] Validation-horse=0.588091
Epoch[216] Validation-motorbike=0.580310
Epoch[216] Validation-person=0.537400
Epoch[216] Validation-pottedplant=0.155966
Epoch[216] Validation-sheep=0.369190
Epoch[216] Validation-sofa=0.381523
Epoch[216] Validation-train=0.616098
Epoch[216] Validation-tvmonitor=0.405810
Epoch[216] Validation-mAP=0.413872
Epoch[217] Batch [20]	Speed: 150.31 samples/sec	CrossEntropy=0.742822	SmoothL1=0.349898
Epoch[217] Batch [40]	Speed: 159.54 samples/sec	CrossEntropy=0.742727	SmoothL1=0.351160
Epoch[217] Batch [60]	Speed: 160.87 samples/sec	CrossEntropy=0.753859	SmoothL1=0.348292
Epoch[217] Batch [80]	Speed: 156.39 samples/sec	CrossEntropy=0.754230	SmoothL1=0.358448
Epoch[217] Batch [100]	Speed: 156.73 samples/sec	CrossEntropy=0.739876	SmoothL1=0.333676
Epoch[217] Batch [120]	Speed: 156.78 samples/sec	CrossEntropy=0.740092	SmoothL1=0.361862
Epoch[217] Batch [140]	Speed: 158.42 samples/sec	CrossEntropy=0.728956	SmoothL1=0.336725
Epoch[217] Batch [160]	Speed: 155.09 samples/sec	CrossEntropy=0.756517	SmoothL1=0.346358
Epoch[217] Batch [180]	Speed: 157.24 samples/sec	CrossEntropy=0.729363	SmoothL1=0.344110
Epoch[217] Batch [200]	Speed: 157.45 samples/sec	CrossEntropy=0.735990	SmoothL1=0.326871
Epoch[217] Batch [220]	Speed: 161.23 samples/sec	CrossEntropy=0.739531	SmoothL1=0.336134
Epoch[217] Batch [240]	Speed: 157.27 samples/sec	CrossEntropy=0.748548	SmoothL1=0.352031
Epoch[217] Batch [260]	Speed: 154.28 samples/sec	CrossEntropy=0.744043	SmoothL1=0.341100
Epoch[217] Batch [280]	Speed: 158.24 samples/sec	CrossEntropy=0.763177	SmoothL1=0.354610
Epoch[217] Batch [300]	Speed: 157.52 samples/sec	CrossEntropy=0.764177	SmoothL1=0.347143
Epoch[217] Batch [320]	Speed: 159.54 samples/sec	CrossEntropy=0.735668	SmoothL1=0.336702
Epoch[217] Batch [340]	Speed: 161.49 samples/sec	CrossEntropy=0.752421	SmoothL1=0.338589
Epoch[217] Train-CrossEntropy=0.762980
Epoch[217] Train-SmoothL1=0.315079
Epoch[217] Time cost=104.920
Epoch[217] Validation-aeroplane=0.485412
Epoch[217] Validation-bicycle=0.516108
Epoch[217] Validation-bird=0.222984
Epoch[217] Validation-boat=0.264527
Epoch[217] Validation-bottle=0.100163
Epoch[217] Validation-bus=0.534811
Epoch[217] Validation-car=0.564969
Epoch[217] Validation-cat=0.508239
Epoch[217] Validation-chair=0.238728
Epoch[217] Validation-cow=0.257710
Epoch[217] Validation-diningtable=0.503217
Epoch[217] Validation-dog=0.444472
Epoch[217] Validation-horse=0.588878
Epoch[217] Validation-motorbike=0.579626
Epoch[217] Validation-person=0.536682
Epoch[217] Validation-pottedplant=0.153280
Epoch[217] Validation-sheep=0.371576
Epoch[217] Validation-sofa=0.388177
Epoch[217] Validation-train=0.613998
Epoch[217] Validation-tvmonitor=0.401503
Epoch[217] Validation-mAP=0.413753
Epoch[218] Batch [20]	Speed: 151.37 samples/sec	CrossEntropy=0.753447	SmoothL1=0.351926
Epoch[218] Batch [40]	Speed: 155.30 samples/sec	CrossEntropy=0.741920	SmoothL1=0.350978
Epoch[218] Batch [60]	Speed: 162.49 samples/sec	CrossEntropy=0.748126	SmoothL1=0.347318
Epoch[218] Batch [80]	Speed: 158.24 samples/sec	CrossEntropy=0.754402	SmoothL1=0.352694
Epoch[218] Batch [100]	Speed: 160.80 samples/sec	CrossEntropy=0.736670	SmoothL1=0.331843
Epoch[218] Batch [120]	Speed: 156.14 samples/sec	CrossEntropy=0.747359	SmoothL1=0.344958
Epoch[218] Batch [140]	Speed: 154.97 samples/sec	CrossEntropy=0.750129	SmoothL1=0.336322
Epoch[218] Batch [160]	Speed: 158.33 samples/sec	CrossEntropy=0.754323	SmoothL1=0.347504
Epoch[218] Batch [180]	Speed: 157.78 samples/sec	CrossEntropy=0.740870	SmoothL1=0.343775
Epoch[218] Batch [200]	Speed: 156.99 samples/sec	CrossEntropy=0.736747	SmoothL1=0.342946
Epoch[218] Batch [220]	Speed: 158.63 samples/sec	CrossEntropy=0.750895	SmoothL1=0.341042
Epoch[218] Batch [240]	Speed: 159.12 samples/sec	CrossEntropy=0.758011	SmoothL1=0.345861
Epoch[218] Batch [260]	Speed: 155.57 samples/sec	CrossEntropy=0.742084	SmoothL1=0.345699
Epoch[218] Batch [280]	Speed: 154.51 samples/sec	CrossEntropy=0.750064	SmoothL1=0.358310
Epoch[218] Batch [300]	Speed: 158.66 samples/sec	CrossEntropy=0.754933	SmoothL1=0.356755
Epoch[218] Batch [320]	Speed: 162.25 samples/sec	CrossEntropy=0.744223	SmoothL1=0.332180
Epoch[218] Batch [340]	Speed: 161.97 samples/sec	CrossEntropy=0.753488	SmoothL1=0.340386
Epoch[218] Train-CrossEntropy=0.734939
Epoch[218] Train-SmoothL1=0.310001
Epoch[218] Time cost=104.755
Epoch[218] Validation-aeroplane=0.484873
Epoch[218] Validation-bicycle=0.518054
Epoch[218] Validation-bird=0.232030
Epoch[218] Validation-boat=0.270795
Epoch[218] Validation-bottle=0.101075
Epoch[218] Validation-bus=0.545290
Epoch[218] Validation-car=0.568349
Epoch[218] Validation-cat=0.515746
Epoch[218] Validation-chair=0.238373
Epoch[218] Validation-cow=0.256508
Epoch[218] Validation-diningtable=0.499631
Epoch[218] Validation-dog=0.444067
Epoch[218] Validation-horse=0.596527
Epoch[218] Validation-motorbike=0.580079
Epoch[218] Validation-person=0.538949
Epoch[218] Validation-pottedplant=0.150705
Epoch[218] Validation-sheep=0.368281
Epoch[218] Validation-sofa=0.394734
Epoch[218] Validation-train=0.618829
Epoch[218] Validation-tvmonitor=0.404660
Epoch[218] Validation-mAP=0.416378
Epoch[219] Batch [20]	Speed: 155.83 samples/sec	CrossEntropy=0.752644	SmoothL1=0.346528
Epoch[219] Batch [40]	Speed: 159.87 samples/sec	CrossEntropy=0.747110	SmoothL1=0.351061
Epoch[219] Batch [60]	Speed: 159.08 samples/sec	CrossEntropy=0.756771	SmoothL1=0.355156
Epoch[219] Batch [80]	Speed: 158.76 samples/sec	CrossEntropy=0.762305	SmoothL1=0.351837
Epoch[219] Batch [100]	Speed: 160.10 samples/sec	CrossEntropy=0.751265	SmoothL1=0.345340
Epoch[219] Batch [120]	Speed: 161.48 samples/sec	CrossEntropy=0.744454	SmoothL1=0.360647
Epoch[219] Batch [140]	Speed: 154.86 samples/sec	CrossEntropy=0.730620	SmoothL1=0.332974
Epoch[219] Batch [160]	Speed: 158.85 samples/sec	CrossEntropy=0.760524	SmoothL1=0.347756
Epoch[219] Batch [180]	Speed: 154.04 samples/sec	CrossEntropy=0.732468	SmoothL1=0.331587
Epoch[219] Batch [200]	Speed: 157.99 samples/sec	CrossEntropy=0.732953	SmoothL1=0.335624
Epoch[219] Batch [220]	Speed: 156.24 samples/sec	CrossEntropy=0.752969	SmoothL1=0.333799
Epoch[219] Batch [240]	Speed: 158.22 samples/sec	CrossEntropy=0.744137	SmoothL1=0.353690
Epoch[219] Batch [260]	Speed: 154.95 samples/sec	CrossEntropy=0.755548	SmoothL1=0.356065
Epoch[219] Batch [280]	Speed: 159.55 samples/sec	CrossEntropy=0.749593	SmoothL1=0.351755
Epoch[219] Batch [300]	Speed: 160.15 samples/sec	CrossEntropy=0.742669	SmoothL1=0.342644
Epoch[219] Batch [320]	Speed: 155.74 samples/sec	CrossEntropy=0.733414	SmoothL1=0.317418
Epoch[219] Batch [340]	Speed: 160.83 samples/sec	CrossEntropy=0.757404	SmoothL1=0.333920
Epoch[219] Train-CrossEntropy=0.759284
Epoch[219] Train-SmoothL1=0.346533
Epoch[219] Time cost=104.622
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0220.params"
Epoch[219] Validation-aeroplane=0.485100
Epoch[219] Validation-bicycle=0.509031
Epoch[219] Validation-bird=0.228957
Epoch[219] Validation-boat=0.257728
Epoch[219] Validation-bottle=0.101235
Epoch[219] Validation-bus=0.537864
Epoch[219] Validation-car=0.568841
Epoch[219] Validation-cat=0.504411
Epoch[219] Validation-chair=0.236926
Epoch[219] Validation-cow=0.258774
Epoch[219] Validation-diningtable=0.487771
Epoch[219] Validation-dog=0.442566
Epoch[219] Validation-horse=0.592057
Epoch[219] Validation-motorbike=0.586486
Epoch[219] Validation-person=0.535449
Epoch[219] Validation-pottedplant=0.152191
Epoch[219] Validation-sheep=0.371885
Epoch[219] Validation-sofa=0.388146
Epoch[219] Validation-train=0.618010
Epoch[219] Validation-tvmonitor=0.408117
Epoch[219] Validation-mAP=0.413577
Epoch[220] Batch [20]	Speed: 148.28 samples/sec	CrossEntropy=0.740625	SmoothL1=0.350097
Epoch[220] Batch [40]	Speed: 157.20 samples/sec	CrossEntropy=0.743243	SmoothL1=0.328176
Epoch[220] Batch [60]	Speed: 159.51 samples/sec	CrossEntropy=0.744780	SmoothL1=0.354910
Epoch[220] Batch [80]	Speed: 156.05 samples/sec	CrossEntropy=0.749261	SmoothL1=0.346554
Epoch[220] Batch [100]	Speed: 157.65 samples/sec	CrossEntropy=0.740171	SmoothL1=0.349504
Epoch[220] Batch [120]	Speed: 158.06 samples/sec	CrossEntropy=0.734637	SmoothL1=0.336064
Epoch[220] Batch [140]	Speed: 158.19 samples/sec	CrossEntropy=0.739235	SmoothL1=0.347946
Epoch[220] Batch [160]	Speed: 156.12 samples/sec	CrossEntropy=0.753571	SmoothL1=0.348804
Epoch[220] Batch [180]	Speed: 160.60 samples/sec	CrossEntropy=0.733564	SmoothL1=0.340771
Epoch[220] Batch [200]	Speed: 161.05 samples/sec	CrossEntropy=0.733463	SmoothL1=0.340311
Epoch[220] Batch [220]	Speed: 155.22 samples/sec	CrossEntropy=0.743826	SmoothL1=0.336505
Epoch[220] Batch [240]	Speed: 159.05 samples/sec	CrossEntropy=0.747930	SmoothL1=0.339261
Epoch[220] Batch [260]	Speed: 156.26 samples/sec	CrossEntropy=0.754948	SmoothL1=0.352036
Epoch[220] Batch [280]	Speed: 160.17 samples/sec	CrossEntropy=0.758645	SmoothL1=0.356547
Epoch[220] Batch [300]	Speed: 157.05 samples/sec	CrossEntropy=0.752113	SmoothL1=0.356229
Epoch[220] Batch [320]	Speed: 157.54 samples/sec	CrossEntropy=0.726376	SmoothL1=0.334172
Epoch[220] Batch [340]	Speed: 160.77 samples/sec	CrossEntropy=0.753426	SmoothL1=0.334907
Epoch[220] Train-CrossEntropy=0.722051
Epoch[220] Train-SmoothL1=0.341552
Epoch[220] Time cost=104.905
Epoch[220] Validation-aeroplane=0.491368
Epoch[220] Validation-bicycle=0.509589
Epoch[220] Validation-bird=0.228678
Epoch[220] Validation-boat=0.273056
Epoch[220] Validation-bottle=0.102827
Epoch[220] Validation-bus=0.539324
Epoch[220] Validation-car=0.570736
Epoch[220] Validation-cat=0.509133
Epoch[220] Validation-chair=0.240270
Epoch[220] Validation-cow=0.258681
Epoch[220] Validation-diningtable=0.496898
Epoch[220] Validation-dog=0.449988
Epoch[220] Validation-horse=0.587204
Epoch[220] Validation-motorbike=0.585195
Epoch[220] Validation-person=0.538091
Epoch[220] Validation-pottedplant=0.156110
Epoch[220] Validation-sheep=0.373661
Epoch[220] Validation-sofa=0.381590
Epoch[220] Validation-train=0.617652
Epoch[220] Validation-tvmonitor=0.404160
Epoch[220] Validation-mAP=0.415711
Epoch[221] Batch [20]	Speed: 150.72 samples/sec	CrossEntropy=0.746070	SmoothL1=0.339877
Epoch[221] Batch [40]	Speed: 157.88 samples/sec	CrossEntropy=0.718403	SmoothL1=0.335787
Epoch[221] Batch [60]	Speed: 159.46 samples/sec	CrossEntropy=0.744630	SmoothL1=0.337155
Epoch[221] Batch [80]	Speed: 151.78 samples/sec	CrossEntropy=0.737594	SmoothL1=0.335894
Epoch[221] Batch [100]	Speed: 157.96 samples/sec	CrossEntropy=0.736810	SmoothL1=0.338380
Epoch[221] Batch [120]	Speed: 160.03 samples/sec	CrossEntropy=0.758081	SmoothL1=0.353448
Epoch[221] Batch [140]	Speed: 157.49 samples/sec	CrossEntropy=0.741407	SmoothL1=0.346893
Epoch[221] Batch [160]	Speed: 157.36 samples/sec	CrossEntropy=0.755919	SmoothL1=0.351173
Epoch[221] Batch [180]	Speed: 159.49 samples/sec	CrossEntropy=0.740970	SmoothL1=0.341600
Epoch[221] Batch [200]	Speed: 156.25 samples/sec	CrossEntropy=0.736110	SmoothL1=0.335370
Epoch[221] Batch [220]	Speed: 158.12 samples/sec	CrossEntropy=0.746356	SmoothL1=0.340863
Epoch[221] Batch [240]	Speed: 161.08 samples/sec	CrossEntropy=0.749619	SmoothL1=0.342288
Epoch[221] Batch [260]	Speed: 156.67 samples/sec	CrossEntropy=0.745386	SmoothL1=0.349218
Epoch[221] Batch [280]	Speed: 158.85 samples/sec	CrossEntropy=0.751567	SmoothL1=0.365156
Epoch[221] Batch [300]	Speed: 156.64 samples/sec	CrossEntropy=0.752698	SmoothL1=0.373286
Epoch[221] Batch [320]	Speed: 157.32 samples/sec	CrossEntropy=0.740223	SmoothL1=0.335610
Epoch[221] Batch [340]	Speed: 167.86 samples/sec	CrossEntropy=0.741418	SmoothL1=0.339884
Epoch[221] Train-CrossEntropy=0.777838
Epoch[221] Train-SmoothL1=0.327336
Epoch[221] Time cost=104.435
Epoch[221] Validation-aeroplane=0.484524
Epoch[221] Validation-bicycle=0.511501
Epoch[221] Validation-bird=0.230798
Epoch[221] Validation-boat=0.263351
Epoch[221] Validation-bottle=0.102108
Epoch[221] Validation-bus=0.539870
Epoch[221] Validation-car=0.573112
Epoch[221] Validation-cat=0.508620
Epoch[221] Validation-chair=0.234337
Epoch[221] Validation-cow=0.267381
Epoch[221] Validation-diningtable=0.500177
Epoch[221] Validation-dog=0.442142
Epoch[221] Validation-horse=0.583368
Epoch[221] Validation-motorbike=0.578597
Epoch[221] Validation-person=0.535170
Epoch[221] Validation-pottedplant=0.149869
Epoch[221] Validation-sheep=0.373246
Epoch[221] Validation-sofa=0.386143
Epoch[221] Validation-train=0.618291
Epoch[221] Validation-tvmonitor=0.403478
Epoch[221] Validation-mAP=0.414304
Epoch[222] Batch [20]	Speed: 152.59 samples/sec	CrossEntropy=0.741965	SmoothL1=0.344516
Epoch[222] Batch [40]	Speed: 160.43 samples/sec	CrossEntropy=0.737984	SmoothL1=0.354165
Epoch[222] Batch [60]	Speed: 156.56 samples/sec	CrossEntropy=0.747774	SmoothL1=0.351870
Epoch[222] Batch [80]	Speed: 155.57 samples/sec	CrossEntropy=0.754238	SmoothL1=0.334806
Epoch[222] Batch [100]	Speed: 155.87 samples/sec	CrossEntropy=0.746573	SmoothL1=0.336951
Epoch[222] Batch [120]	Speed: 159.92 samples/sec	CrossEntropy=0.744433	SmoothL1=0.351695
Epoch[222] Batch [140]	Speed: 159.51 samples/sec	CrossEntropy=0.735432	SmoothL1=0.348152
Epoch[222] Batch [160]	Speed: 158.38 samples/sec	CrossEntropy=0.758446	SmoothL1=0.341458
Epoch[222] Batch [180]	Speed: 154.07 samples/sec	CrossEntropy=0.742418	SmoothL1=0.348642
Epoch[222] Batch [200]	Speed: 157.11 samples/sec	CrossEntropy=0.732040	SmoothL1=0.341409
Epoch[222] Batch [220]	Speed: 161.35 samples/sec	CrossEntropy=0.749194	SmoothL1=0.341765
Epoch[222] Batch [240]	Speed: 158.11 samples/sec	CrossEntropy=0.754443	SmoothL1=0.344359
Epoch[222] Batch [260]	Speed: 159.98 samples/sec	CrossEntropy=0.745420	SmoothL1=0.363368
Epoch[222] Batch [280]	Speed: 153.42 samples/sec	CrossEntropy=0.741320	SmoothL1=0.339002
Epoch[222] Batch [300]	Speed: 156.16 samples/sec	CrossEntropy=0.753857	SmoothL1=0.345031
Epoch[222] Batch [320]	Speed: 156.60 samples/sec	CrossEntropy=0.734749	SmoothL1=0.327069
Epoch[222] Batch [340]	Speed: 161.52 samples/sec	CrossEntropy=0.755375	SmoothL1=0.350366
Epoch[222] Train-CrossEntropy=0.756565
Epoch[222] Train-SmoothL1=0.339688
Epoch[222] Time cost=105.341
Epoch[222] Validation-aeroplane=0.486161
Epoch[222] Validation-bicycle=0.513888
Epoch[222] Validation-bird=0.226767
Epoch[222] Validation-boat=0.260765
Epoch[222] Validation-bottle=0.100478
Epoch[222] Validation-bus=0.556406
Epoch[222] Validation-car=0.572079
Epoch[222] Validation-cat=0.514592
Epoch[222] Validation-chair=0.243830
Epoch[222] Validation-cow=0.261855
Epoch[222] Validation-diningtable=0.506330
Epoch[222] Validation-dog=0.444169
Epoch[222] Validation-horse=0.585719
Epoch[222] Validation-motorbike=0.585149
Epoch[222] Validation-person=0.536890
Epoch[222] Validation-pottedplant=0.152917
Epoch[222] Validation-sheep=0.378840
Epoch[222] Validation-sofa=0.387574
Epoch[222] Validation-train=0.618928
Epoch[222] Validation-tvmonitor=0.410790
Epoch[222] Validation-mAP=0.417206
Epoch[223] Batch [20]	Speed: 149.68 samples/sec	CrossEntropy=0.746528	SmoothL1=0.349187
Epoch[223] Batch [40]	Speed: 157.84 samples/sec	CrossEntropy=0.727857	SmoothL1=0.334738
Epoch[223] Batch [60]	Speed: 155.10 samples/sec	CrossEntropy=0.739163	SmoothL1=0.337138
Epoch[223] Batch [80]	Speed: 159.56 samples/sec	CrossEntropy=0.755260	SmoothL1=0.351084
Epoch[223] Batch [100]	Speed: 156.38 samples/sec	CrossEntropy=0.747292	SmoothL1=0.332615
Epoch[223] Batch [120]	Speed: 159.65 samples/sec	CrossEntropy=0.761484	SmoothL1=0.355514
Epoch[223] Batch [140]	Speed: 157.09 samples/sec	CrossEntropy=0.729651	SmoothL1=0.345443
Epoch[223] Batch [160]	Speed: 157.50 samples/sec	CrossEntropy=0.758874	SmoothL1=0.356341
Epoch[223] Batch [180]	Speed: 155.47 samples/sec	CrossEntropy=0.724201	SmoothL1=0.347266
Epoch[223] Batch [200]	Speed: 157.79 samples/sec	CrossEntropy=0.726838	SmoothL1=0.326496
Epoch[223] Batch [220]	Speed: 160.71 samples/sec	CrossEntropy=0.741098	SmoothL1=0.348318
Epoch[223] Batch [240]	Speed: 159.61 samples/sec	CrossEntropy=0.762507	SmoothL1=0.338487
Epoch[223] Batch [260]	Speed: 155.72 samples/sec	CrossEntropy=0.754453	SmoothL1=0.345147
Epoch[223] Batch [280]	Speed: 159.21 samples/sec	CrossEntropy=0.744876	SmoothL1=0.348221
Epoch[223] Batch [300]	Speed: 159.26 samples/sec	CrossEntropy=0.745949	SmoothL1=0.348354
Epoch[223] Batch [320]	Speed: 156.60 samples/sec	CrossEntropy=0.746439	SmoothL1=0.335250
Epoch[223] Batch [340]	Speed: 164.49 samples/sec	CrossEntropy=0.747357	SmoothL1=0.340737
Epoch[223] Train-CrossEntropy=0.769456
Epoch[223] Train-SmoothL1=0.351377
Epoch[223] Time cost=104.835
Epoch[223] Validation-aeroplane=0.488250
Epoch[223] Validation-bicycle=0.515327
Epoch[223] Validation-bird=0.229350
Epoch[223] Validation-boat=0.266695
Epoch[223] Validation-bottle=0.101212
Epoch[223] Validation-bus=0.539550
Epoch[223] Validation-car=0.571591
Epoch[223] Validation-cat=0.506915
Epoch[223] Validation-chair=0.235863
Epoch[223] Validation-cow=0.256707
Epoch[223] Validation-diningtable=0.502715
Epoch[223] Validation-dog=0.445402
Epoch[223] Validation-horse=0.586547
Epoch[223] Validation-motorbike=0.576619
Epoch[223] Validation-person=0.536532
Epoch[223] Validation-pottedplant=0.152678
Epoch[223] Validation-sheep=0.373457
Epoch[223] Validation-sofa=0.377922
Epoch[223] Validation-train=0.611266
Epoch[223] Validation-tvmonitor=0.413213
Epoch[223] Validation-mAP=0.414391
Epoch[224] Batch [20]	Speed: 155.26 samples/sec	CrossEntropy=0.736971	SmoothL1=0.351787
Epoch[224] Batch [40]	Speed: 158.88 samples/sec	CrossEntropy=0.735068	SmoothL1=0.350176
Epoch[224] Batch [60]	Speed: 160.40 samples/sec	CrossEntropy=0.757215	SmoothL1=0.335905
Epoch[224] Batch [80]	Speed: 158.61 samples/sec	CrossEntropy=0.742205	SmoothL1=0.342989
Epoch[224] Batch [100]	Speed: 157.20 samples/sec	CrossEntropy=0.741077	SmoothL1=0.338607
Epoch[224] Batch [120]	Speed: 158.32 samples/sec	CrossEntropy=0.727141	SmoothL1=0.341263
Epoch[224] Batch [140]	Speed: 155.74 samples/sec	CrossEntropy=0.741365	SmoothL1=0.339529
Epoch[224] Batch [160]	Speed: 159.43 samples/sec	CrossEntropy=0.761883	SmoothL1=0.348610
Epoch[224] Batch [180]	Speed: 156.58 samples/sec	CrossEntropy=0.737541	SmoothL1=0.339238
Epoch[224] Batch [200]	Speed: 154.81 samples/sec	CrossEntropy=0.748959	SmoothL1=0.342845
Epoch[224] Batch [220]	Speed: 155.71 samples/sec	CrossEntropy=0.739514	SmoothL1=0.330152
Epoch[224] Batch [240]	Speed: 157.07 samples/sec	CrossEntropy=0.751517	SmoothL1=0.352810
Epoch[224] Batch [260]	Speed: 157.63 samples/sec	CrossEntropy=0.728750	SmoothL1=0.349174
Epoch[224] Batch [280]	Speed: 160.60 samples/sec	CrossEntropy=0.752436	SmoothL1=0.361127
Epoch[224] Batch [300]	Speed: 157.57 samples/sec	CrossEntropy=0.749167	SmoothL1=0.345524
Epoch[224] Batch [320]	Speed: 162.50 samples/sec	CrossEntropy=0.737661	SmoothL1=0.331409
Epoch[224] Batch [340]	Speed: 162.34 samples/sec	CrossEntropy=0.752932	SmoothL1=0.326512
Epoch[224] Train-CrossEntropy=0.760019
Epoch[224] Train-SmoothL1=0.330954
Epoch[224] Time cost=104.507
Saved checkpoint to "/home/prdcv/PycharmProjects/gvh205/mxnet_ssd/output/exp1/ssd-0225.params"
Epoch[224] Validation-aeroplane=0.491723
Epoch[224] Validation-bicycle=0.517151
Epoch[224] Validation-bird=0.244223
Epoch[224] Validation-boat=0.274266
Epoch[224] Validation-bottle=0.102058
Epoch[224] Validation-bus=0.538720
Epoch[224] Validation-car=0.573945
Epoch[224] Validation-cat=0.512763
Epoch[224] Validation-chair=0.235444
Epoch[224] Validation-cow=0.245673
Epoch[224] Validation-diningtable=0.490136
Epoch[224] Validation-dog=0.449349
Epoch[224] Validation-horse=0.586996
Epoch[224] Validation-motorbike=0.584142
Epoch[224] Validation-person=0.536994
Epoch[224] Validation-pottedplant=0.152905
Epoch[224] Validation-sheep=0.374254
Epoch[224] Validation-sofa=0.393671
Epoch[224] Validation-train=0.613153
Epoch[224] Validation-tvmonitor=0.405917
Epoch[224] Validation-mAP=0.416174
Epoch[225] Batch [20]	Speed: 153.65 samples/sec	CrossEntropy=0.748483	SmoothL1=0.341757