Namespace(batch_size=32, data_shape=512, dataset='voc', epochs=240, gpus='0,1,2,3', log_interval=100, lr=0.001, lr_decay=0.1, lr_decay_epoch='160,200', momentum=0.9, network='resnet50_v1', num_workers=32, resume='', save_interval=10, save_prefix='ssd_512_resnet50_v1_voc', seed=233, start_epoch=0, wd=0.0005) Start training from [Epoch 0] [Epoch 0][Batch 99], Speed: 71.553289 samples/sec, CrossEntropy=7.868669, SmoothL1=2.933283, accuracy=0.636035 [Epoch 0][Batch 199], Speed: 70.687638 samples/sec, CrossEntropy=6.491622, SmoothL1=2.766637, accuracy=0.693125 [Epoch 0][Batch 299], Speed: 71.173248 samples/sec, CrossEntropy=5.936068, SmoothL1=2.642661, accuracy=0.711922 [Epoch 0][Batch 399], Speed: 70.845392 samples/sec, CrossEntropy=5.620723, SmoothL1=2.524130, accuracy=0.721408 [Epoch 0][Batch 499], Speed: 77.039396 samples/sec, CrossEntropy=5.400059, SmoothL1=2.432158, accuracy=0.727378 [Epoch 0] Training cost: 245.553970, CrossEntropy=5.365758, SmoothL1=2.420168, accuracy=0.728150 [Epoch 0] Validation: aeroplane=0.141907 bicycle=0.215735 bird=0.198456 boat=0.012828 bottle=0.135913 bus=0.145388 car=0.309754 cat=0.124573 chair=0.168804 cow=0.172094 diningtable=0.096208 dog=0.189666 horse=0.158494 motorbike=0.196399 person=0.451922 pottedplant=0.027022 sheep=0.233076 sofa=0.124960 train=0.080891 tvmonitor=0.302178 mAP=0.174313 [Epoch 1][Batch 99], Speed: 73.514555 samples/sec, CrossEntropy=4.414793, SmoothL1=1.948744, accuracy=0.751151 [Epoch 1][Batch 199], Speed: 73.739522 samples/sec, CrossEntropy=4.340959, SmoothL1=1.911162, accuracy=0.751710 [Epoch 1][Batch 299], Speed: 72.921511 samples/sec, CrossEntropy=4.294617, SmoothL1=1.893732, accuracy=0.752074 [Epoch 1][Batch 399], Speed: 73.326713 samples/sec, CrossEntropy=4.251748, SmoothL1=1.871346, accuracy=0.752344 [Epoch 1][Batch 499], Speed: 76.631124 samples/sec, CrossEntropy=4.202646, SmoothL1=1.841103, accuracy=0.752652 [Epoch 1] Training cost: 240.116068, CrossEntropy=4.196330, SmoothL1=1.837193, accuracy=0.752711 [Epoch 1] Validation: aeroplane=0.239268 bicycle=0.323707 bird=0.316937 boat=0.124284 bottle=0.198978 bus=0.215744 car=0.584742 cat=0.321370 chair=0.330526 cow=0.339427 diningtable=0.085570 dog=0.346134 horse=0.306568 motorbike=0.292109 person=0.562732 pottedplant=0.090069 sheep=0.341102 sofa=0.183758 train=0.169811 tvmonitor=0.384023 mAP=0.287843 [Epoch 2][Batch 99], Speed: 63.519293 samples/sec, CrossEntropy=3.902282, SmoothL1=1.710980, accuracy=0.755317 [Epoch 2][Batch 199], Speed: 73.222863 samples/sec, CrossEntropy=3.889530, SmoothL1=1.711353, accuracy=0.755495 [Epoch 2][Batch 299], Speed: 68.179833 samples/sec, CrossEntropy=3.870228, SmoothL1=1.693335, accuracy=0.755861 [Epoch 2][Batch 399], Speed: 71.488081 samples/sec, CrossEntropy=3.855341, SmoothL1=1.676338, accuracy=0.756047 [Epoch 2][Batch 499], Speed: 74.345301 samples/sec, CrossEntropy=3.824228, SmoothL1=1.661872, accuracy=0.756329 [Epoch 2] Training cost: 239.652028, CrossEntropy=3.821365, SmoothL1=1.659453, accuracy=0.756397 [Epoch 2] Validation: aeroplane=0.347562 bicycle=0.434809 bird=0.372392 boat=0.132526 bottle=0.190241 bus=0.293218 car=0.639574 cat=0.394431 chair=0.342119 cow=0.350684 diningtable=0.107967 dog=0.421253 horse=0.471511 motorbike=0.417571 person=0.601613 pottedplant=0.182213 sheep=0.456632 sofa=0.304801 train=0.202755 tvmonitor=0.456732 mAP=0.356030 [Epoch 3][Batch 99], Speed: 72.044681 samples/sec, CrossEntropy=3.649526, SmoothL1=1.558526, accuracy=0.758434 [Epoch 3][Batch 199], Speed: 72.798109 samples/sec, CrossEntropy=3.638715, SmoothL1=1.578302, accuracy=0.759834 [Epoch 3][Batch 299], Speed: 70.635965 samples/sec, CrossEntropy=3.617853, SmoothL1=1.584747, accuracy=0.759970 [Epoch 3][Batch 399], Speed: 65.466729 samples/sec, CrossEntropy=3.609453, SmoothL1=1.584159, accuracy=0.760094 [Epoch 3][Batch 499], Speed: 68.179833 samples/sec, CrossEntropy=3.594488, SmoothL1=1.576301, accuracy=0.760405 [Epoch 3] Training cost: 240.634284, CrossEntropy=3.589891, SmoothL1=1.572632, accuracy=0.760506 [Epoch 3] Validation: aeroplane=0.407322 bicycle=0.472182 bird=0.492405 boat=0.181216 bottle=0.271183 bus=0.431325 car=0.679827 cat=0.493369 chair=0.366911 cow=0.423405 diningtable=0.195543 dog=0.509824 horse=0.456424 motorbike=0.448017 person=0.669807 pottedplant=0.207672 sheep=0.452892 sofa=0.331873 train=0.283980 tvmonitor=0.516499 mAP=0.414584 [Epoch 4][Batch 99], Speed: 79.242658 samples/sec, CrossEntropy=3.487595, SmoothL1=1.523238, accuracy=0.763413 [Epoch 4][Batch 199], Speed: 71.597490 samples/sec, CrossEntropy=3.456627, SmoothL1=1.530920, accuracy=0.764159 [Epoch 4][Batch 299], Speed: 70.970737 samples/sec, CrossEntropy=3.448824, SmoothL1=1.522605, accuracy=0.764324 [Epoch 4][Batch 399], Speed: 71.110802 samples/sec, CrossEntropy=3.444821, SmoothL1=1.516015, accuracy=0.763966 [Epoch 4][Batch 499], Speed: 78.007485 samples/sec, CrossEntropy=3.427934, SmoothL1=1.511684, accuracy=0.764374 [Epoch 4] Training cost: 240.415173, CrossEntropy=3.425687, SmoothL1=1.509617, accuracy=0.764461 [Epoch 4] Validation: aeroplane=0.487855 bicycle=0.517188 bird=0.567301 boat=0.242300 bottle=0.301240 bus=0.480866 car=0.733211 cat=0.563872 chair=0.368252 cow=0.515252 diningtable=0.305619 dog=0.606532 horse=0.565366 motorbike=0.542958 person=0.676594 pottedplant=0.262491 sheep=0.498550 sofa=0.392271 train=0.377494 tvmonitor=0.564159 mAP=0.478469 [Epoch 5][Batch 99], Speed: 70.862785 samples/sec, CrossEntropy=3.337791, SmoothL1=1.455986, accuracy=0.766411 [Epoch 5][Batch 199], Speed: 67.085820 samples/sec, CrossEntropy=3.322593, SmoothL1=1.452370, accuracy=0.766796 [Epoch 5][Batch 299], Speed: 73.267471 samples/sec, CrossEntropy=3.318746, SmoothL1=1.457540, accuracy=0.767292 [Epoch 5][Batch 399], Speed: 71.041509 samples/sec, CrossEntropy=3.317087, SmoothL1=1.455124, accuracy=0.767614 [Epoch 5][Batch 499], Speed: 72.684806 samples/sec, CrossEntropy=3.303011, SmoothL1=1.452156, accuracy=0.767848 [Epoch 5] Training cost: 240.019229, CrossEntropy=3.301206, SmoothL1=1.454359, accuracy=0.767858 [Epoch 5] Validation: aeroplane=0.518557 bicycle=0.563765 bird=0.560321 boat=0.225287 bottle=0.326044 bus=0.514372 car=0.754217 cat=0.660367 chair=0.417803 cow=0.440099 diningtable=0.352437 dog=0.604069 horse=0.609364 motorbike=0.609110 person=0.701238 pottedplant=0.262910 sheep=0.484276 sofa=0.467226 train=0.429005 tvmonitor=0.579397 mAP=0.503993 [Epoch 6][Batch 99], Speed: 73.623959 samples/sec, CrossEntropy=3.236681, SmoothL1=1.433347, accuracy=0.769727 [Epoch 6][Batch 199], Speed: 69.068830 samples/sec, CrossEntropy=3.210743, SmoothL1=1.429856, accuracy=0.771245 [Epoch 6][Batch 299], Speed: 70.225948 samples/sec, CrossEntropy=3.197259, SmoothL1=1.418117, accuracy=0.771844 [Epoch 6][Batch 399], Speed: 69.103111 samples/sec, CrossEntropy=3.196584, SmoothL1=1.412870, accuracy=0.771735 [Epoch 6][Batch 499], Speed: 74.810075 samples/sec, CrossEntropy=3.197802, SmoothL1=1.412459, accuracy=0.771546 [Epoch 6] Training cost: 239.863711, CrossEntropy=3.193822, SmoothL1=1.410288, accuracy=0.771561 [Epoch 6] Validation: aeroplane=0.569122 bicycle=0.617977 bird=0.624219 boat=0.314308 bottle=0.363363 bus=0.629684 car=0.754618 cat=0.723194 chair=0.443537 cow=0.526402 diningtable=0.453480 dog=0.687895 horse=0.657400 motorbike=0.623261 person=0.707507 pottedplant=0.301714 sheep=0.569424 sofa=0.536965 train=0.510771 tvmonitor=0.606144 mAP=0.561049 [Epoch 7][Batch 99], Speed: 71.892174 samples/sec, CrossEntropy=3.136654, SmoothL1=1.389323, accuracy=0.773953 [Epoch 7][Batch 199], Speed: 71.645263 samples/sec, CrossEntropy=3.125124, SmoothL1=1.387617, accuracy=0.773736 [Epoch 7][Batch 299], Speed: 67.694079 samples/sec, CrossEntropy=3.127015, SmoothL1=1.374465, accuracy=0.773927 [Epoch 7][Batch 399], Speed: 70.265875 samples/sec, CrossEntropy=3.120715, SmoothL1=1.370686, accuracy=0.774071 [Epoch 7][Batch 499], Speed: 77.669510 samples/sec, CrossEntropy=3.118579, SmoothL1=1.370571, accuracy=0.774349 [Epoch 7] Training cost: 240.889101, CrossEntropy=3.117706, SmoothL1=1.370863, accuracy=0.774305 [Epoch 7] Validation: aeroplane=0.601242 bicycle=0.638760 bird=0.628595 boat=0.361693 bottle=0.371157 bus=0.663646 car=0.775184 cat=0.757520 chair=0.444381 cow=0.595316 diningtable=0.479611 dog=0.701065 horse=0.658147 motorbike=0.645933 person=0.718284 pottedplant=0.255184 sheep=0.573283 sofa=0.571452 train=0.595598 tvmonitor=0.632699 mAP=0.583438 [Epoch 8][Batch 99], Speed: 73.063185 samples/sec, CrossEntropy=3.025047, SmoothL1=1.318087, accuracy=0.776308 [Epoch 8][Batch 199], Speed: 71.286957 samples/sec, CrossEntropy=3.042166, SmoothL1=1.335846, accuracy=0.776450 [Epoch 8][Batch 299], Speed: 67.149153 samples/sec, CrossEntropy=3.037705, SmoothL1=1.350911, accuracy=0.776455 [Epoch 8][Batch 399], Speed: 71.659837 samples/sec, CrossEntropy=3.034145, SmoothL1=1.345737, accuracy=0.776704 [Epoch 8][Batch 499], Speed: 77.781451 samples/sec, CrossEntropy=3.045936, SmoothL1=1.347189, accuracy=0.776777 [Epoch 8] Training cost: 239.539399, CrossEntropy=3.045784, SmoothL1=1.344659, accuracy=0.776785 [Epoch 8] Validation: aeroplane=0.620971 bicycle=0.650763 bird=0.654713 boat=0.381282 bottle=0.404973 bus=0.642326 car=0.783136 cat=0.766941 chair=0.473854 cow=0.604686 diningtable=0.420392 dog=0.707294 horse=0.662896 motorbike=0.674145 person=0.721849 pottedplant=0.307747 sheep=0.626693 sofa=0.523722 train=0.616648 tvmonitor=0.592884 mAP=0.591896 [Epoch 9][Batch 99], Speed: 72.989877 samples/sec, CrossEntropy=2.979278, SmoothL1=1.305575, accuracy=0.778970 [Epoch 9][Batch 199], Speed: 72.394768 samples/sec, CrossEntropy=2.992537, SmoothL1=1.327181, accuracy=0.777921 [Epoch 9][Batch 299], Speed: 72.124394 samples/sec, CrossEntropy=2.981691, SmoothL1=1.326265, accuracy=0.778295 [Epoch 9][Batch 399], Speed: 70.751841 samples/sec, CrossEntropy=2.985092, SmoothL1=1.323381, accuracy=0.778399 [Epoch 9][Batch 499], Speed: 82.147329 samples/sec, CrossEntropy=2.983049, SmoothL1=1.321803, accuracy=0.778657 [Epoch 9] Training cost: 240.674066, CrossEntropy=2.982881, SmoothL1=1.322358, accuracy=0.778601 [Epoch 9] Validation: aeroplane=0.640156 bicycle=0.707728 bird=0.696858 boat=0.440302 bottle=0.394126 bus=0.676212 car=0.787197 cat=0.775321 chair=0.484915 cow=0.617713 diningtable=0.524932 dog=0.733188 horse=0.683685 motorbike=0.667922 person=0.730759 pottedplant=0.309486 sheep=0.647274 sofa=0.602057 train=0.665776 tvmonitor=0.630752 mAP=0.620818 [Epoch 10][Batch 99], Speed: 73.068395 samples/sec, CrossEntropy=2.951224, SmoothL1=1.299344, accuracy=0.779178 [Epoch 10][Batch 199], Speed: 72.196478 samples/sec, CrossEntropy=2.951392, SmoothL1=1.302927, accuracy=0.779580 [Epoch 10][Batch 299], Speed: 69.556740 samples/sec, CrossEntropy=2.953092, SmoothL1=1.290752, accuracy=0.780412 [Epoch 10][Batch 399], Speed: 72.718673 samples/sec, CrossEntropy=2.948957, SmoothL1=1.288626, accuracy=0.780737 [Epoch 10][Batch 499], Speed: 75.982220 samples/sec, CrossEntropy=2.940899, SmoothL1=1.295004, accuracy=0.780938 [Epoch 10] Training cost: 240.170289, CrossEntropy=2.939753, SmoothL1=1.295252, accuracy=0.780951 [Epoch 10] Validation: aeroplane=0.651186 bicycle=0.678304 bird=0.706411 boat=0.448819 bottle=0.401274 bus=0.706891 car=0.784583 cat=0.758268 chair=0.487781 cow=0.615478 diningtable=0.536361 dog=0.732743 horse=0.693426 motorbike=0.678755 person=0.737858 pottedplant=0.291279 sheep=0.651579 sofa=0.583953 train=0.677718 tvmonitor=0.665700 mAP=0.624418 [Epoch 11][Batch 99], Speed: 74.373109 samples/sec, CrossEntropy=2.872810, SmoothL1=1.262751, accuracy=0.783729 [Epoch 11][Batch 199], Speed: 69.550720 samples/sec, CrossEntropy=2.865980, SmoothL1=1.280914, accuracy=0.783384 [Epoch 11][Batch 299], Speed: 71.940843 samples/sec, CrossEntropy=2.875843, SmoothL1=1.278388, accuracy=0.783589 [Epoch 11][Batch 399], Speed: 69.698838 samples/sec, CrossEntropy=2.891286, SmoothL1=1.285957, accuracy=0.782606 [Epoch 11][Batch 499], Speed: 78.169860 samples/sec, CrossEntropy=2.888167, SmoothL1=1.277789, accuracy=0.783015 [Epoch 11] Training cost: 239.990155, CrossEntropy=2.887417, SmoothL1=1.276834, accuracy=0.782972 [Epoch 11] Validation: aeroplane=0.646964 bicycle=0.708230 bird=0.714310 boat=0.458252 bottle=0.419639 bus=0.731124 car=0.799101 cat=0.789681 chair=0.480617 cow=0.652184 diningtable=0.549769 dog=0.753994 horse=0.697362 motorbike=0.732573 person=0.734797 pottedplant=0.293293 sheep=0.683286 sofa=0.633873 train=0.710059 tvmonitor=0.680587 mAP=0.643485 [Epoch 12][Batch 99], Speed: 68.484338 samples/sec, CrossEntropy=2.849392, SmoothL1=1.246428, accuracy=0.784102 [Epoch 12][Batch 199], Speed: 72.012868 samples/sec, CrossEntropy=2.838550, SmoothL1=1.254322, accuracy=0.784887 [Epoch 12][Batch 299], Speed: 68.600759 samples/sec, CrossEntropy=2.837023, SmoothL1=1.257066, accuracy=0.784753 [Epoch 12][Batch 399], Speed: 71.742612 samples/sec, CrossEntropy=2.838520, SmoothL1=1.254098, accuracy=0.784591 [Epoch 12][Batch 499], Speed: 71.670322 samples/sec, CrossEntropy=2.842096, SmoothL1=1.252924, accuracy=0.784542 [Epoch 12] Training cost: 240.280225, CrossEntropy=2.841772, SmoothL1=1.251155, accuracy=0.784521 [Epoch 12] Validation: aeroplane=0.656061 bicycle=0.718132 bird=0.709481 boat=0.518706 bottle=0.428047 bus=0.730346 car=0.803601 cat=0.776401 chair=0.524754 cow=0.612392 diningtable=0.538117 dog=0.736175 horse=0.753153 motorbike=0.683388 person=0.736747 pottedplant=0.328870 sheep=0.658611 sofa=0.624218 train=0.734515 tvmonitor=0.672761 mAP=0.647224 [Epoch 13][Batch 99], Speed: 68.984554 samples/sec, CrossEntropy=2.827234, SmoothL1=1.241834, accuracy=0.784888 [Epoch 13][Batch 199], Speed: 72.775057 samples/sec, CrossEntropy=2.827110, SmoothL1=1.256334, accuracy=0.785440 [Epoch 13][Batch 299], Speed: 73.509482 samples/sec, CrossEntropy=2.814546, SmoothL1=1.248652, accuracy=0.785750 [Epoch 13][Batch 399], Speed: 69.461202 samples/sec, CrossEntropy=2.810453, SmoothL1=1.248284, accuracy=0.786188 [Epoch 13][Batch 499], Speed: 73.419610 samples/sec, CrossEntropy=2.812901, SmoothL1=1.245438, accuracy=0.785963 [Epoch 13] Training cost: 240.803810, CrossEntropy=2.809951, SmoothL1=1.243085, accuracy=0.786099 [Epoch 13] Validation: aeroplane=0.643700 bicycle=0.736996 bird=0.698697 boat=0.514599 bottle=0.436002 bus=0.746442 car=0.800376 cat=0.799011 chair=0.510963 cow=0.636463 diningtable=0.556690 dog=0.767133 horse=0.759777 motorbike=0.717178 person=0.753350 pottedplant=0.331852 sheep=0.653543 sofa=0.643165 train=0.748992 tvmonitor=0.682341 mAP=0.656864 [Epoch 14][Batch 99], Speed: 68.613138 samples/sec, CrossEntropy=2.773018, SmoothL1=1.228744, accuracy=0.789097 [Epoch 14][Batch 199], Speed: 67.863884 samples/sec, CrossEntropy=2.757786, SmoothL1=1.229520, accuracy=0.788230 [Epoch 14][Batch 299], Speed: 72.995514 samples/sec, CrossEntropy=2.763548, SmoothL1=1.231542, accuracy=0.788023 [Epoch 14][Batch 399], Speed: 69.803633 samples/sec, CrossEntropy=2.764478, SmoothL1=1.224926, accuracy=0.788238 [Epoch 14][Batch 499], Speed: 78.368955 samples/sec, CrossEntropy=2.760058, SmoothL1=1.222352, accuracy=0.788115 [Epoch 14] Training cost: 239.692349, CrossEntropy=2.759746, SmoothL1=1.222275, accuracy=0.788236 [Epoch 14] Validation: aeroplane=0.662236 bicycle=0.753558 bird=0.710679 boat=0.529541 bottle=0.430074 bus=0.774696 car=0.804864 cat=0.813919 chair=0.502844 cow=0.566717 diningtable=0.587987 dog=0.755162 horse=0.763897 motorbike=0.718241 person=0.751565 pottedplant=0.346675 sheep=0.651400 sofa=0.673595 train=0.741211 tvmonitor=0.680666 mAP=0.660976 [Epoch 15][Batch 99], Speed: 70.307430 samples/sec, CrossEntropy=2.711769, SmoothL1=1.199572, accuracy=0.789341 [Epoch 15][Batch 199], Speed: 71.472587 samples/sec, CrossEntropy=2.736530, SmoothL1=1.208518, accuracy=0.789324 [Epoch 15][Batch 299], Speed: 67.587247 samples/sec, CrossEntropy=2.743891, SmoothL1=1.214618, accuracy=0.789030 [Epoch 15][Batch 399], Speed: 72.407539 samples/sec, CrossEntropy=2.748971, SmoothL1=1.214255, accuracy=0.789067 [Epoch 15][Batch 499], Speed: 75.557602 samples/sec, CrossEntropy=2.741737, SmoothL1=1.203862, accuracy=0.789360 [Epoch 15] Training cost: 239.860600, CrossEntropy=2.740969, SmoothL1=1.202153, accuracy=0.789353 [Epoch 15] Validation: aeroplane=0.674588 bicycle=0.707043 bird=0.706029 boat=0.572618 bottle=0.455726 bus=0.771075 car=0.821563 cat=0.781758 chair=0.515433 cow=0.657868 diningtable=0.588544 dog=0.732139 horse=0.761574 motorbike=0.751490 person=0.745801 pottedplant=0.364816 sheep=0.679337 sofa=0.668156 train=0.746392 tvmonitor=0.701596 mAP=0.670177 [Epoch 16][Batch 99], Speed: 71.954573 samples/sec, CrossEntropy=2.688222, SmoothL1=1.190963, accuracy=0.790677 [Epoch 16][Batch 199], Speed: 70.939153 samples/sec, CrossEntropy=2.697617, SmoothL1=1.195050, accuracy=0.790941 [Epoch 16][Batch 299], Speed: 73.090559 samples/sec, CrossEntropy=2.700465, SmoothL1=1.187333, accuracy=0.791215 [Epoch 16][Batch 399], Speed: 72.167480 samples/sec, CrossEntropy=2.708624, SmoothL1=1.192170, accuracy=0.790710 [Epoch 16][Batch 499], Speed: 72.959089 samples/sec, CrossEntropy=2.708018, SmoothL1=1.192855, accuracy=0.790857 [Epoch 16] Training cost: 240.769764, CrossEntropy=2.707643, SmoothL1=1.191414, accuracy=0.790827 [Epoch 16] Validation: aeroplane=0.710384 bicycle=0.770869 bird=0.695774 boat=0.552850 bottle=0.409274 bus=0.734085 car=0.821811 cat=0.799035 chair=0.509812 cow=0.634089 diningtable=0.623254 dog=0.759828 horse=0.764777 motorbike=0.719577 person=0.753927 pottedplant=0.359792 sheep=0.713986 sofa=0.616646 train=0.764229 tvmonitor=0.706007 mAP=0.671000 [Epoch 17][Batch 99], Speed: 73.102900 samples/sec, CrossEntropy=2.695461, SmoothL1=1.174526, accuracy=0.791532 [Epoch 17][Batch 199], Speed: 70.069109 samples/sec, CrossEntropy=2.689701, SmoothL1=1.184676, accuracy=0.791420 [Epoch 17][Batch 299], Speed: 69.323185 samples/sec, CrossEntropy=2.683265, SmoothL1=1.186024, accuracy=0.791369 [Epoch 17][Batch 399], Speed: 71.288206 samples/sec, CrossEntropy=2.678994, SmoothL1=1.177954, accuracy=0.791420 [Epoch 17][Batch 499], Speed: 76.897183 samples/sec, CrossEntropy=2.682406, SmoothL1=1.178556, accuracy=0.791534 [Epoch 17] Training cost: 239.695506, CrossEntropy=2.680797, SmoothL1=1.176901, accuracy=0.791703 [Epoch 17] Validation: aeroplane=0.669182 bicycle=0.780170 bird=0.737274 boat=0.559730 bottle=0.436074 bus=0.784292 car=0.820760 cat=0.829113 chair=0.534489 cow=0.632079 diningtable=0.620401 dog=0.785079 horse=0.791518 motorbike=0.747385 person=0.754622 pottedplant=0.378277 sheep=0.685089 sofa=0.644290 train=0.747736 tvmonitor=0.710872 mAP=0.682422 [Epoch 18][Batch 99], Speed: 67.234087 samples/sec, CrossEntropy=2.658747, SmoothL1=1.199865, accuracy=0.792125 [Epoch 18][Batch 199], Speed: 71.175475 samples/sec, CrossEntropy=2.657883, SmoothL1=1.192503, accuracy=0.792871 [Epoch 18][Batch 299], Speed: 72.269016 samples/sec, CrossEntropy=2.656102, SmoothL1=1.185724, accuracy=0.793080 [Epoch 18][Batch 399], Speed: 73.662102 samples/sec, CrossEntropy=2.654868, SmoothL1=1.179595, accuracy=0.792951 [Epoch 18][Batch 499], Speed: 72.865058 samples/sec, CrossEntropy=2.655918, SmoothL1=1.168993, accuracy=0.793194 [Epoch 18] Training cost: 240.636228, CrossEntropy=2.655633, SmoothL1=1.167474, accuracy=0.793144 [Epoch 18] Validation: aeroplane=0.681806 bicycle=0.778577 bird=0.720428 boat=0.568203 bottle=0.443686 bus=0.785186 car=0.827169 cat=0.839217 chair=0.531662 cow=0.689538 diningtable=0.635098 dog=0.796493 horse=0.764058 motorbike=0.762343 person=0.758227 pottedplant=0.415236 sheep=0.704790 sofa=0.709163 train=0.763334 tvmonitor=0.716662 mAP=0.694544 [Epoch 19][Batch 99], Speed: 72.468528 samples/sec, CrossEntropy=2.646872, SmoothL1=1.164032, accuracy=0.791896 [Epoch 19][Batch 199], Speed: 70.259879 samples/sec, CrossEntropy=2.630202, SmoothL1=1.162876, accuracy=0.793664 [Epoch 19][Batch 299], Speed: 71.542114 samples/sec, CrossEntropy=2.633660, SmoothL1=1.155873, accuracy=0.793858 [Epoch 19][Batch 399], Speed: 69.363633 samples/sec, CrossEntropy=2.638983, SmoothL1=1.153433, accuracy=0.793928 [Epoch 19][Batch 499], Speed: 75.512159 samples/sec, CrossEntropy=2.632008, SmoothL1=1.154252, accuracy=0.794283 [Epoch 19] Training cost: 239.982571, CrossEntropy=2.633077, SmoothL1=1.153388, accuracy=0.794181 [Epoch 19] Validation: aeroplane=0.715232 bicycle=0.776807 bird=0.714723 boat=0.583874 bottle=0.480492 bus=0.800453 car=0.824417 cat=0.825147 chair=0.541182 cow=0.688038 diningtable=0.628967 dog=0.788628 horse=0.794888 motorbike=0.767495 person=0.765180 pottedplant=0.429476 sheep=0.720540 sofa=0.684140 train=0.762709 tvmonitor=0.733140 mAP=0.701276 [Epoch 20][Batch 99], Speed: 73.472179 samples/sec, CrossEntropy=2.609751, SmoothL1=1.157645, accuracy=0.796002 [Epoch 20][Batch 199], Speed: 77.156757 samples/sec, CrossEntropy=2.614863, SmoothL1=1.150670, accuracy=0.795531 [Epoch 20][Batch 299], Speed: 71.814241 samples/sec, CrossEntropy=2.610728, SmoothL1=1.150607, accuracy=0.795991 [Epoch 20][Batch 399], Speed: 66.478712 samples/sec, CrossEntropy=2.612075, SmoothL1=1.150905, accuracy=0.795801 [Epoch 20][Batch 499], Speed: 73.959226 samples/sec, CrossEntropy=2.609287, SmoothL1=1.147539, accuracy=0.795972 [Epoch 20] Training cost: 240.392957, CrossEntropy=2.606776, SmoothL1=1.144786, accuracy=0.796019 [Epoch 20] Validation: aeroplane=0.682096 bicycle=0.766799 bird=0.737042 boat=0.572309 bottle=0.459015 bus=0.775173 car=0.829355 cat=0.838385 chair=0.535584 cow=0.720728 diningtable=0.624508 dog=0.820828 horse=0.806507 motorbike=0.756290 person=0.768882 pottedplant=0.411904 sheep=0.740995 sofa=0.672512 train=0.760369 tvmonitor=0.697538 mAP=0.698841 [Epoch 21][Batch 99], Speed: 70.180195 samples/sec, CrossEntropy=2.568928, SmoothL1=1.130519, accuracy=0.797410 [Epoch 21][Batch 199], Speed: 67.779816 samples/sec, CrossEntropy=2.572162, SmoothL1=1.134971, accuracy=0.797381 [Epoch 21][Batch 299], Speed: 72.766614 samples/sec, CrossEntropy=2.588292, SmoothL1=1.140567, accuracy=0.796563 [Epoch 21][Batch 399], Speed: 72.718358 samples/sec, CrossEntropy=2.584241, SmoothL1=1.132758, accuracy=0.797110 [Epoch 21][Batch 499], Speed: 77.269671 samples/sec, CrossEntropy=2.579034, SmoothL1=1.130699, accuracy=0.797272 [Epoch 21] Training cost: 240.543296, CrossEntropy=2.579308, SmoothL1=1.130415, accuracy=0.797303 [Epoch 21] Validation: aeroplane=0.740393 bicycle=0.786234 bird=0.743003 boat=0.558995 bottle=0.477944 bus=0.787938 car=0.832387 cat=0.855093 chair=0.552027 cow=0.701929 diningtable=0.645379 dog=0.822503 horse=0.804187 motorbike=0.780558 person=0.758040 pottedplant=0.393722 sheep=0.728743 sofa=0.727536 train=0.773028 tvmonitor=0.727734 mAP=0.709869 [Epoch 22][Batch 99], Speed: 68.218922 samples/sec, CrossEntropy=2.543515, SmoothL1=1.126555, accuracy=0.799006 [Epoch 22][Batch 199], Speed: 70.343910 samples/sec, CrossEntropy=2.546680, SmoothL1=1.127437, accuracy=0.799032 [Epoch 22][Batch 299], Speed: 71.471826 samples/sec, CrossEntropy=2.555932, SmoothL1=1.117204, accuracy=0.798712 [Epoch 22][Batch 399], Speed: 68.457686 samples/sec, CrossEntropy=2.564548, SmoothL1=1.121674, accuracy=0.798256 [Epoch 22][Batch 499], Speed: 76.858213 samples/sec, CrossEntropy=2.566718, SmoothL1=1.122804, accuracy=0.798092 [Epoch 22] Training cost: 240.969674, CrossEntropy=2.568360, SmoothL1=1.122346, accuracy=0.798127 [Epoch 22] Validation: aeroplane=0.753076 bicycle=0.792506 bird=0.736027 boat=0.602690 bottle=0.484723 bus=0.780258 car=0.826173 cat=0.842201 chair=0.524527 cow=0.697829 diningtable=0.659041 dog=0.807907 horse=0.780397 motorbike=0.767382 person=0.766326 pottedplant=0.412170 sheep=0.734770 sofa=0.716079 train=0.783797 tvmonitor=0.697853 mAP=0.708287 [Epoch 23][Batch 99], Speed: 70.914902 samples/sec, CrossEntropy=2.522750, SmoothL1=1.112895, accuracy=0.800310 [Epoch 23][Batch 199], Speed: 72.734200 samples/sec, CrossEntropy=2.530671, SmoothL1=1.128134, accuracy=0.800992 [Epoch 23][Batch 299], Speed: 71.857610 samples/sec, CrossEntropy=2.525893, SmoothL1=1.115179, accuracy=0.800813 [Epoch 23][Batch 399], Speed: 71.630810 samples/sec, CrossEntropy=2.533798, SmoothL1=1.111295, accuracy=0.800355 [Epoch 23][Batch 499], Speed: 75.381197 samples/sec, CrossEntropy=2.541680, SmoothL1=1.112212, accuracy=0.799687 [Epoch 23] Training cost: 240.496034, CrossEntropy=2.542461, SmoothL1=1.111179, accuracy=0.799470 [Epoch 23] Validation: aeroplane=0.758214 bicycle=0.760658 bird=0.749517 boat=0.613102 bottle=0.447128 bus=0.803993 car=0.824885 cat=0.855752 chair=0.535930 cow=0.704092 diningtable=0.636171 dog=0.814086 horse=0.781964 motorbike=0.760058 person=0.769355 pottedplant=0.385087 sheep=0.716263 sofa=0.720667 train=0.814755 tvmonitor=0.733912 mAP=0.709279 [Epoch 24][Batch 99], Speed: 68.977995 samples/sec, CrossEntropy=2.510777, SmoothL1=1.100126, accuracy=0.801508 [Epoch 24][Batch 199], Speed: 71.653907 samples/sec, CrossEntropy=2.517216, SmoothL1=1.106097, accuracy=0.800630 [Epoch 24][Batch 299], Speed: 72.629545 samples/sec, CrossEntropy=2.512771, SmoothL1=1.107264, accuracy=0.800743 [Epoch 24][Batch 399], Speed: 73.451472 samples/sec, CrossEntropy=2.512132, SmoothL1=1.099297, accuracy=0.800563 [Epoch 24][Batch 499], Speed: 73.085743 samples/sec, CrossEntropy=2.514242, SmoothL1=1.100565, accuracy=0.800687 [Epoch 24] Training cost: 240.496254, CrossEntropy=2.514400, SmoothL1=1.099575, accuracy=0.800698 [Epoch 24] Validation: aeroplane=0.749248 bicycle=0.801848 bird=0.728664 boat=0.638146 bottle=0.448211 bus=0.808768 car=0.842994 cat=0.851478 chair=0.540388 cow=0.723355 diningtable=0.667101 dog=0.827026 horse=0.811181 motorbike=0.769984 person=0.757885 pottedplant=0.421095 sheep=0.742457 sofa=0.703847 train=0.793311 tvmonitor=0.707629 mAP=0.716731 [Epoch 25][Batch 99], Speed: 70.089819 samples/sec, CrossEntropy=2.498866, SmoothL1=1.096262, accuracy=0.802092 [Epoch 25][Batch 199], Speed: 71.708230 samples/sec, CrossEntropy=2.506083, SmoothL1=1.096393, accuracy=0.801743 [Epoch 25][Batch 299], Speed: 72.874869 samples/sec, CrossEntropy=2.514558, SmoothL1=1.095370, accuracy=0.800841 [Epoch 25][Batch 399], Speed: 73.210282 samples/sec, CrossEntropy=2.514349, SmoothL1=1.088042, accuracy=0.801015 [Epoch 25][Batch 499], Speed: 73.359817 samples/sec, CrossEntropy=2.506736, SmoothL1=1.090254, accuracy=0.801073 [Epoch 25] Training cost: 239.590736, CrossEntropy=2.506583, SmoothL1=1.091346, accuracy=0.801180 [Epoch 25] Validation: aeroplane=0.736635 bicycle=0.788528 bird=0.764460 boat=0.591611 bottle=0.465634 bus=0.786903 car=0.835815 cat=0.838737 chair=0.589456 cow=0.719541 diningtable=0.638620 dog=0.798751 horse=0.791176 motorbike=0.767180 person=0.765029 pottedplant=0.411821 sheep=0.724391 sofa=0.712130 train=0.797197 tvmonitor=0.735137 mAP=0.712938 [Epoch 26][Batch 99], Speed: 71.357527 samples/sec, CrossEntropy=2.488801, SmoothL1=1.100346, accuracy=0.801185 [Epoch 26][Batch 199], Speed: 68.142518 samples/sec, CrossEntropy=2.490427, SmoothL1=1.104889, accuracy=0.801518 [Epoch 26][Batch 299], Speed: 71.241059 samples/sec, CrossEntropy=2.485538, SmoothL1=1.095865, accuracy=0.801880 [Epoch 26][Batch 399], Speed: 72.797082 samples/sec, CrossEntropy=2.488227, SmoothL1=1.097709, accuracy=0.801880 [Epoch 26][Batch 499], Speed: 73.201418 samples/sec, CrossEntropy=2.478953, SmoothL1=1.090218, accuracy=0.802384 [Epoch 26] Training cost: 241.074562, CrossEntropy=2.477846, SmoothL1=1.089559, accuracy=0.802520 [Epoch 26] Validation: aeroplane=0.744023 bicycle=0.788196 bird=0.768914 boat=0.596360 bottle=0.461669 bus=0.804131 car=0.831918 cat=0.856672 chair=0.544490 cow=0.717874 diningtable=0.635513 dog=0.822670 horse=0.824874 motorbike=0.756989 person=0.767956 pottedplant=0.453011 sheep=0.734732 sofa=0.721801 train=0.805030 tvmonitor=0.727382 mAP=0.718210 [Epoch 27][Batch 99], Speed: 72.532755 samples/sec, CrossEntropy=2.439818, SmoothL1=1.055992, accuracy=0.805204 [Epoch 27][Batch 199], Speed: 72.695042 samples/sec, CrossEntropy=2.445678, SmoothL1=1.076921, accuracy=0.804468 [Epoch 27][Batch 299], Speed: 69.983616 samples/sec, CrossEntropy=2.448704, SmoothL1=1.074111, accuracy=0.803618 [Epoch 27][Batch 399], Speed: 66.027304 samples/sec, CrossEntropy=2.459102, SmoothL1=1.071111, accuracy=0.803090 [Epoch 27][Batch 499], Speed: 70.215478 samples/sec, CrossEntropy=2.457620, SmoothL1=1.072477, accuracy=0.803471 [Epoch 27] Training cost: 240.692958, CrossEntropy=2.456514, SmoothL1=1.071626, accuracy=0.803485 [Epoch 27] Validation: aeroplane=0.749911 bicycle=0.812966 bird=0.763665 boat=0.615830 bottle=0.468634 bus=0.813678 car=0.844401 cat=0.860588 chair=0.539280 cow=0.712215 diningtable=0.621404 dog=0.804674 horse=0.799157 motorbike=0.787056 person=0.766408 pottedplant=0.447446 sheep=0.699590 sofa=0.703213 train=0.789142 tvmonitor=0.743238 mAP=0.717125 [Epoch 28][Batch 99], Speed: 71.878160 samples/sec, CrossEntropy=2.473985, SmoothL1=1.086173, accuracy=0.803340 [Epoch 28][Batch 199], Speed: 72.002824 samples/sec, CrossEntropy=2.453560, SmoothL1=1.074981, accuracy=0.804310 [Epoch 28][Batch 299], Speed: 70.035508 samples/sec, CrossEntropy=2.446634, SmoothL1=1.074692, accuracy=0.804500 [Epoch 28][Batch 399], Speed: 70.781579 samples/sec, CrossEntropy=2.447760, SmoothL1=1.069708, accuracy=0.804560 [Epoch 28][Batch 499], Speed: 74.899372 samples/sec, CrossEntropy=2.442731, SmoothL1=1.065189, accuracy=0.804926 [Epoch 28] Training cost: 240.149537, CrossEntropy=2.442304, SmoothL1=1.065021, accuracy=0.804909 [Epoch 28] Validation: aeroplane=0.759021 bicycle=0.795854 bird=0.763759 boat=0.621224 bottle=0.424248 bus=0.810717 car=0.835410 cat=0.862451 chair=0.560545 cow=0.689305 diningtable=0.647611 dog=0.823088 horse=0.759557 motorbike=0.763774 person=0.764696 pottedplant=0.427665 sheep=0.757394 sofa=0.728035 train=0.804094 tvmonitor=0.698460 mAP=0.714845 [Epoch 29][Batch 99], Speed: 70.807605 samples/sec, CrossEntropy=2.424161, SmoothL1=1.071985, accuracy=0.805140 [Epoch 29][Batch 199], Speed: 71.059487 samples/sec, CrossEntropy=2.409444, SmoothL1=1.065906, accuracy=0.806049 [Epoch 29][Batch 299], Speed: 70.470482 samples/sec, CrossEntropy=2.420495, SmoothL1=1.060556, accuracy=0.805758 [Epoch 29][Batch 399], Speed: 70.450138 samples/sec, CrossEntropy=2.422631, SmoothL1=1.056025, accuracy=0.806015 [Epoch 29][Batch 499], Speed: 72.547378 samples/sec, CrossEntropy=2.424410, SmoothL1=1.055424, accuracy=0.806305 [Epoch 29] Training cost: 240.578687, CrossEntropy=2.426642, SmoothL1=1.058624, accuracy=0.806102 [Epoch 29] Validation: aeroplane=0.764407 bicycle=0.796493 bird=0.747427 boat=0.616912 bottle=0.454966 bus=0.810886 car=0.845303 cat=0.857609 chair=0.549363 cow=0.725910 diningtable=0.670357 dog=0.828138 horse=0.827386 motorbike=0.777093 person=0.766561 pottedplant=0.409920 sheep=0.739470 sofa=0.695425 train=0.787442 tvmonitor=0.724345 mAP=0.719771 [Epoch 30][Batch 99], Speed: 72.212947 samples/sec, CrossEntropy=2.414676, SmoothL1=1.039851, accuracy=0.805384 [Epoch 30][Batch 199], Speed: 71.783821 samples/sec, CrossEntropy=2.416162, SmoothL1=1.061937, accuracy=0.805723 [Epoch 30][Batch 299], Speed: 71.049557 samples/sec, CrossEntropy=2.419297, SmoothL1=1.057733, accuracy=0.806015 [Epoch 30][Batch 399], Speed: 73.801599 samples/sec, CrossEntropy=2.424450, SmoothL1=1.059779, accuracy=0.805711 [Epoch 30][Batch 499], Speed: 75.613321 samples/sec, CrossEntropy=2.420404, SmoothL1=1.053788, accuracy=0.806014 [Epoch 30] Training cost: 240.457960, CrossEntropy=2.418279, SmoothL1=1.053314, accuracy=0.806187 [Epoch 30] Validation: aeroplane=0.738606 bicycle=0.811187 bird=0.736558 boat=0.613888 bottle=0.497061 bus=0.790096 car=0.831310 cat=0.848814 chair=0.555004 cow=0.672315 diningtable=0.630506 dog=0.818256 horse=0.797811 motorbike=0.789740 person=0.775066 pottedplant=0.433481 sheep=0.744588 sofa=0.708893 train=0.787480 tvmonitor=0.732672 mAP=0.715667 [Epoch 31][Batch 99], Speed: 72.088794 samples/sec, CrossEntropy=2.358618, SmoothL1=1.025221, accuracy=0.808468 [Epoch 31][Batch 199], Speed: 73.322667 samples/sec, CrossEntropy=2.372704, SmoothL1=1.049239, accuracy=0.807937 [Epoch 31][Batch 299], Speed: 69.710567 samples/sec, CrossEntropy=2.374505, SmoothL1=1.046869, accuracy=0.808113 [Epoch 31][Batch 399], Speed: 70.044389 samples/sec, CrossEntropy=2.386075, SmoothL1=1.045338, accuracy=0.807921 [Epoch 31][Batch 499], Speed: 77.259619 samples/sec, CrossEntropy=2.393938, SmoothL1=1.049287, accuracy=0.807585 [Epoch 31] Training cost: 241.751457, CrossEntropy=2.393378, SmoothL1=1.047229, accuracy=0.807647 [Epoch 31] Validation: aeroplane=0.763044 bicycle=0.806787 bird=0.760665 boat=0.610374 bottle=0.523872 bus=0.799995 car=0.846117 cat=0.858498 chair=0.566990 cow=0.763329 diningtable=0.652460 dog=0.844802 horse=0.833303 motorbike=0.793537 person=0.772656 pottedplant=0.433539 sheep=0.772026 sofa=0.727715 train=0.801534 tvmonitor=0.756894 mAP=0.734407 [Epoch 32][Batch 99], Speed: 68.123807 samples/sec, CrossEntropy=2.365494, SmoothL1=1.019294, accuracy=0.807413 [Epoch 32][Batch 199], Speed: 74.083369 samples/sec, CrossEntropy=2.356564, SmoothL1=1.019332, accuracy=0.809205 [Epoch 32][Batch 299], Speed: 71.111593 samples/sec, CrossEntropy=2.368127, SmoothL1=1.022035, accuracy=0.808778 [Epoch 32][Batch 399], Speed: 69.716324 samples/sec, CrossEntropy=2.374792, SmoothL1=1.028921, accuracy=0.808406 [Epoch 32][Batch 499], Speed: 75.061519 samples/sec, CrossEntropy=2.379976, SmoothL1=1.033187, accuracy=0.808312 [Epoch 32] Training cost: 240.304921, CrossEntropy=2.379307, SmoothL1=1.033064, accuracy=0.808299 [Epoch 32] Validation: aeroplane=0.763178 bicycle=0.802329 bird=0.743146 boat=0.610020 bottle=0.455584 bus=0.813630 car=0.831639 cat=0.838333 chair=0.542620 cow=0.734303 diningtable=0.659487 dog=0.821362 horse=0.816187 motorbike=0.799214 person=0.771784 pottedplant=0.428301 sheep=0.747675 sofa=0.715966 train=0.805123 tvmonitor=0.732934 mAP=0.721641 [Epoch 33][Batch 99], Speed: 71.677517 samples/sec, CrossEntropy=2.381818, SmoothL1=1.059599, accuracy=0.809543 [Epoch 33][Batch 199], Speed: 72.434737 samples/sec, CrossEntropy=2.360654, SmoothL1=1.040827, accuracy=0.810183 [Epoch 33][Batch 299], Speed: 71.542114 samples/sec, CrossEntropy=2.363760, SmoothL1=1.035806, accuracy=0.809180 [Epoch 33][Batch 399], Speed: 73.537191 samples/sec, CrossEntropy=2.366874, SmoothL1=1.038852, accuracy=0.808980 [Epoch 33][Batch 499], Speed: 81.907202 samples/sec, CrossEntropy=2.371730, SmoothL1=1.039366, accuracy=0.808845 [Epoch 33] Training cost: 240.594807, CrossEntropy=2.370969, SmoothL1=1.036672, accuracy=0.808978 [Epoch 33] Validation: aeroplane=0.768434 bicycle=0.806125 bird=0.767900 boat=0.612613 bottle=0.484123 bus=0.833145 car=0.845635 cat=0.867436 chair=0.585202 cow=0.739241 diningtable=0.689831 dog=0.834817 horse=0.832990 motorbike=0.785094 person=0.779414 pottedplant=0.452872 sheep=0.743534 sofa=0.746048 train=0.828946 tvmonitor=0.745532 mAP=0.737447 [Epoch 34][Batch 99], Speed: 68.223569 samples/sec, CrossEntropy=2.370222, SmoothL1=1.027596, accuracy=0.809869 [Epoch 34][Batch 199], Speed: 70.507909 samples/sec, CrossEntropy=2.352700, SmoothL1=1.030183, accuracy=0.810119 [Epoch 34][Batch 299], Speed: 66.302559 samples/sec, CrossEntropy=2.351997, SmoothL1=1.025825, accuracy=0.810117 [Epoch 34][Batch 399], Speed: 69.355497 samples/sec, CrossEntropy=2.364917, SmoothL1=1.033522, accuracy=0.809097 [Epoch 34][Batch 499], Speed: 76.757558 samples/sec, CrossEntropy=2.368166, SmoothL1=1.031788, accuracy=0.808937 [Epoch 34] Training cost: 241.105317, CrossEntropy=2.369375, SmoothL1=1.030729, accuracy=0.808913 [Epoch 34] Validation: aeroplane=0.772075 bicycle=0.815557 bird=0.761807 boat=0.629714 bottle=0.504319 bus=0.821461 car=0.845077 cat=0.855076 chair=0.550732 cow=0.728711 diningtable=0.659812 dog=0.835495 horse=0.829673 motorbike=0.791773 person=0.778078 pottedplant=0.442472 sheep=0.746262 sofa=0.752166 train=0.836533 tvmonitor=0.741014 mAP=0.734890 [Epoch 35][Batch 99], Speed: 72.362645 samples/sec, CrossEntropy=2.327932, SmoothL1=1.020551, accuracy=0.811604 [Epoch 35][Batch 199], Speed: 67.610364 samples/sec, CrossEntropy=2.326961, SmoothL1=1.016992, accuracy=0.811035 [Epoch 35][Batch 299], Speed: 71.600545 samples/sec, CrossEntropy=2.330578, SmoothL1=1.015514, accuracy=0.810806 [Epoch 35][Batch 399], Speed: 71.490632 samples/sec, CrossEntropy=2.335333, SmoothL1=1.017375, accuracy=0.810482 [Epoch 35][Batch 499], Speed: 75.828111 samples/sec, CrossEntropy=2.334080, SmoothL1=1.017817, accuracy=0.810540 [Epoch 35] Training cost: 241.240391, CrossEntropy=2.336437, SmoothL1=1.016022, accuracy=0.810519 [Epoch 35] Validation: aeroplane=0.770329 bicycle=0.818761 bird=0.775914 boat=0.630880 bottle=0.510544 bus=0.842014 car=0.852798 cat=0.848937 chair=0.569944 cow=0.764043 diningtable=0.686192 dog=0.833659 horse=0.814148 motorbike=0.793424 person=0.782993 pottedplant=0.445673 sheep=0.734916 sofa=0.732263 train=0.834213 tvmonitor=0.749142 mAP=0.739539 [Epoch 36][Batch 99], Speed: 72.421292 samples/sec, CrossEntropy=2.320270, SmoothL1=1.001896, accuracy=0.811001 [Epoch 36][Batch 199], Speed: 67.842753 samples/sec, CrossEntropy=2.322887, SmoothL1=1.006905, accuracy=0.811706 [Epoch 36][Batch 299], Speed: 73.166302 samples/sec, CrossEntropy=2.339936, SmoothL1=1.018609, accuracy=0.810757 [Epoch 36][Batch 399], Speed: 70.702272 samples/sec, CrossEntropy=2.335001, SmoothL1=1.014062, accuracy=0.811127 [Epoch 36][Batch 499], Speed: 76.234603 samples/sec, CrossEntropy=2.331235, SmoothL1=1.016416, accuracy=0.811360 [Epoch 36] Training cost: 241.670893, CrossEntropy=2.330690, SmoothL1=1.016094, accuracy=0.811401 [Epoch 36] Validation: aeroplane=0.745212 bicycle=0.801191 bird=0.760878 boat=0.612778 bottle=0.514831 bus=0.832553 car=0.839802 cat=0.866737 chair=0.558787 cow=0.749977 diningtable=0.680978 dog=0.810298 horse=0.822994 motorbike=0.786701 person=0.771871 pottedplant=0.471555 sheep=0.755734 sofa=0.720921 train=0.797094 tvmonitor=0.745685 mAP=0.732329 [Epoch 37][Batch 99], Speed: 72.352854 samples/sec, CrossEntropy=2.301794, SmoothL1=0.995923, accuracy=0.812728 [Epoch 37][Batch 199], Speed: 68.260834 samples/sec, CrossEntropy=2.310403, SmoothL1=1.008844, accuracy=0.812442 [Epoch 37][Batch 299], Speed: 73.265431 samples/sec, CrossEntropy=2.323544, SmoothL1=1.013863, accuracy=0.811839 [Epoch 37][Batch 399], Speed: 72.800715 samples/sec, CrossEntropy=2.317679, SmoothL1=1.002352, accuracy=0.812411 [Epoch 37][Batch 499], Speed: 78.114675 samples/sec, CrossEntropy=2.315322, SmoothL1=1.006177, accuracy=0.812480 [Epoch 37] Training cost: 240.766708, CrossEntropy=2.315992, SmoothL1=1.005221, accuracy=0.812423 [Epoch 37] Validation: aeroplane=0.771249 bicycle=0.830989 bird=0.769448 boat=0.609054 bottle=0.464316 bus=0.815461 car=0.852368 cat=0.859599 chair=0.594203 cow=0.777727 diningtable=0.669725 dog=0.847896 horse=0.838971 motorbike=0.802156 person=0.782672 pottedplant=0.479177 sheep=0.758969 sofa=0.738583 train=0.839976 tvmonitor=0.756291 mAP=0.742941 [Epoch 38][Batch 99], Speed: 70.709013 samples/sec, CrossEntropy=2.297033, SmoothL1=0.977588, accuracy=0.814068 [Epoch 38][Batch 199], Speed: 68.907452 samples/sec, CrossEntropy=2.281522, SmoothL1=0.991335, accuracy=0.813872 [Epoch 38][Batch 299], Speed: 71.616056 samples/sec, CrossEntropy=2.287731, SmoothL1=0.987355, accuracy=0.813703 [Epoch 38][Batch 399], Speed: 69.164680 samples/sec, CrossEntropy=2.300642, SmoothL1=0.994886, accuracy=0.813114 [Epoch 38][Batch 499], Speed: 77.146734 samples/sec, CrossEntropy=2.307729, SmoothL1=0.997027, accuracy=0.812726 [Epoch 38] Training cost: 240.517159, CrossEntropy=2.308508, SmoothL1=0.996903, accuracy=0.812773 [Epoch 38] Validation: aeroplane=0.793672 bicycle=0.816436 bird=0.765610 boat=0.624935 bottle=0.493169 bus=0.814063 car=0.845547 cat=0.865202 chair=0.561302 cow=0.763536 diningtable=0.688245 dog=0.840846 horse=0.835845 motorbike=0.809771 person=0.773503 pottedplant=0.462277 sheep=0.781874 sofa=0.755436 train=0.825251 tvmonitor=0.768166 mAP=0.744234 [Epoch 39][Batch 99], Speed: 71.921105 samples/sec, CrossEntropy=2.261426, SmoothL1=0.978362, accuracy=0.815216 [Epoch 39][Batch 199], Speed: 69.798878 samples/sec, CrossEntropy=2.271362, SmoothL1=0.993776, accuracy=0.814450 [Epoch 39][Batch 299], Speed: 71.142728 samples/sec, CrossEntropy=2.279697, SmoothL1=0.995585, accuracy=0.814066 [Epoch 39][Batch 399], Speed: 73.161078 samples/sec, CrossEntropy=2.286585, SmoothL1=0.997165, accuracy=0.813868 [Epoch 39][Batch 499], Speed: 76.096810 samples/sec, CrossEntropy=2.282311, SmoothL1=0.995197, accuracy=0.814100 [Epoch 39] Training cost: 240.483631, CrossEntropy=2.281749, SmoothL1=0.996324, accuracy=0.814117 [Epoch 39] Validation: aeroplane=0.772719 bicycle=0.818683 bird=0.747857 boat=0.634789 bottle=0.509097 bus=0.832158 car=0.845462 cat=0.861964 chair=0.578292 cow=0.788742 diningtable=0.670335 dog=0.832093 horse=0.839623 motorbike=0.789636 person=0.775456 pottedplant=0.484545 sheep=0.766474 sofa=0.736213 train=0.816613 tvmonitor=0.764613 mAP=0.743268 [Epoch 40][Batch 99], Speed: 70.941627 samples/sec, CrossEntropy=2.262490, SmoothL1=0.980949, accuracy=0.815732 [Epoch 40][Batch 199], Speed: 69.352164 samples/sec, CrossEntropy=2.238213, SmoothL1=0.974854, accuracy=0.817365 [Epoch 40][Batch 299], Speed: 72.296460 samples/sec, CrossEntropy=2.239450, SmoothL1=0.968952, accuracy=0.817040 [Epoch 40][Batch 399], Speed: 69.717700 samples/sec, CrossEntropy=2.257412, SmoothL1=0.980062, accuracy=0.816162 [Epoch 40][Batch 499], Speed: 73.351238 samples/sec, CrossEntropy=2.265279, SmoothL1=0.987469, accuracy=0.815506 [Epoch 40] Training cost: 240.271923, CrossEntropy=2.264730, SmoothL1=0.989177, accuracy=0.815556 [Epoch 40] Validation: aeroplane=0.758964 bicycle=0.831912 bird=0.769905 boat=0.663042 bottle=0.475828 bus=0.836958 car=0.850740 cat=0.862122 chair=0.575181 cow=0.759659 diningtable=0.660397 dog=0.829605 horse=0.813019 motorbike=0.808145 person=0.771661 pottedplant=0.463531 sheep=0.767480 sofa=0.746257 train=0.824365 tvmonitor=0.765268 mAP=0.741702 [Epoch 41][Batch 99], Speed: 67.476374 samples/sec, CrossEntropy=2.243606, SmoothL1=0.961375, accuracy=0.816228 [Epoch 41][Batch 199], Speed: 69.802726 samples/sec, CrossEntropy=2.255560, SmoothL1=0.980811, accuracy=0.815437 [Epoch 41][Batch 299], Speed: 68.187661 samples/sec, CrossEntropy=2.258539, SmoothL1=0.987742, accuracy=0.815143 [Epoch 41][Batch 399], Speed: 70.999870 samples/sec, CrossEntropy=2.264276, SmoothL1=0.989554, accuracy=0.814952 [Epoch 41][Batch 499], Speed: 69.162257 samples/sec, CrossEntropy=2.264061, SmoothL1=0.989949, accuracy=0.815034 [Epoch 41] Training cost: 240.962729, CrossEntropy=2.264059, SmoothL1=0.990538, accuracy=0.814997 [Epoch 41] Validation: aeroplane=0.791598 bicycle=0.812496 bird=0.773582 boat=0.664758 bottle=0.506792 bus=0.819044 car=0.852212 cat=0.869371 chair=0.566690 cow=0.767313 diningtable=0.664390 dog=0.835682 horse=0.835315 motorbike=0.790860 person=0.779886 pottedplant=0.460337 sheep=0.756323 sofa=0.739073 train=0.826976 tvmonitor=0.747742 mAP=0.743022 [Epoch 42][Batch 99], Speed: 70.666089 samples/sec, CrossEntropy=2.282290, SmoothL1=1.010083, accuracy=0.814640 [Epoch 42][Batch 199], Speed: 72.284546 samples/sec, CrossEntropy=2.258577, SmoothL1=0.986286, accuracy=0.816134 [Epoch 42][Batch 299], Speed: 72.371659 samples/sec, CrossEntropy=2.256889, SmoothL1=0.981395, accuracy=0.815605 [Epoch 42][Batch 399], Speed: 69.376397 samples/sec, CrossEntropy=2.262201, SmoothL1=0.977408, accuracy=0.815637 [Epoch 42][Batch 499], Speed: 74.547430 samples/sec, CrossEntropy=2.261487, SmoothL1=0.976829, accuracy=0.815667 [Epoch 42] Training cost: 240.390373, CrossEntropy=2.260992, SmoothL1=0.976442, accuracy=0.815652 [Epoch 42] Validation: aeroplane=0.752601 bicycle=0.812454 bird=0.776929 boat=0.618034 bottle=0.487788 bus=0.838188 car=0.852306 cat=0.866477 chair=0.564734 cow=0.773638 diningtable=0.683839 dog=0.846518 horse=0.826209 motorbike=0.792874 person=0.773781 pottedplant=0.476372 sheep=0.740757 sofa=0.762900 train=0.828367 tvmonitor=0.746365 mAP=0.741057 [Epoch 43][Batch 99], Speed: 73.801071 samples/sec, CrossEntropy=2.256939, SmoothL1=0.979326, accuracy=0.814607 [Epoch 43][Batch 199], Speed: 69.466883 samples/sec, CrossEntropy=2.269704, SmoothL1=0.988538, accuracy=0.814456 [Epoch 43][Batch 299], Speed: 72.260379 samples/sec, CrossEntropy=2.271010, SmoothL1=0.992870, accuracy=0.814542 [Epoch 43][Batch 399], Speed: 70.266500 samples/sec, CrossEntropy=2.268018, SmoothL1=0.984753, accuracy=0.814293 [Epoch 43][Batch 499], Speed: 82.415378 samples/sec, CrossEntropy=2.262563, SmoothL1=0.980574, accuracy=0.814522 [Epoch 43] Training cost: 240.830499, CrossEntropy=2.262204, SmoothL1=0.978712, accuracy=0.814647 [Epoch 43] Validation: aeroplane=0.772503 bicycle=0.829813 bird=0.766681 boat=0.655574 bottle=0.508554 bus=0.830139 car=0.856415 cat=0.866599 chair=0.584151 cow=0.758182 diningtable=0.655163 dog=0.860867 horse=0.832138 motorbike=0.802552 person=0.784579 pottedplant=0.448308 sheep=0.777011 sofa=0.725780 train=0.815288 tvmonitor=0.747562 mAP=0.743893 [Epoch 44][Batch 99], Speed: 70.650020 samples/sec, CrossEntropy=2.219151, SmoothL1=0.970749, accuracy=0.817752 [Epoch 44][Batch 199], Speed: 69.352200 samples/sec, CrossEntropy=2.223135, SmoothL1=0.973766, accuracy=0.818004 [Epoch 44][Batch 299], Speed: 67.862340 samples/sec, CrossEntropy=2.217505, SmoothL1=0.968135, accuracy=0.818166 [Epoch 44][Batch 399], Speed: 69.687041 samples/sec, CrossEntropy=2.230503, SmoothL1=0.968040, accuracy=0.816981 [Epoch 44][Batch 499], Speed: 76.521332 samples/sec, CrossEntropy=2.238106, SmoothL1=0.973431, accuracy=0.816556 [Epoch 44] Training cost: 241.001815, CrossEntropy=2.238193, SmoothL1=0.974060, accuracy=0.816554 [Epoch 44] Validation: aeroplane=0.772094 bicycle=0.827687 bird=0.776070 boat=0.683293 bottle=0.484847 bus=0.850751 car=0.849177 cat=0.879940 chair=0.558712 cow=0.741169 diningtable=0.666361 dog=0.840512 horse=0.820653 motorbike=0.802533 person=0.781616 pottedplant=0.485294 sheep=0.762219 sofa=0.712255 train=0.823019 tvmonitor=0.750117 mAP=0.743416 [Epoch 45][Batch 99], Speed: 71.219852 samples/sec, CrossEntropy=2.219204, SmoothL1=0.966134, accuracy=0.817954 [Epoch 45][Batch 199], Speed: 73.090877 samples/sec, CrossEntropy=2.221754, SmoothL1=0.969501, accuracy=0.817656 [Epoch 45][Batch 299], Speed: 69.969387 samples/sec, CrossEntropy=2.231598, SmoothL1=0.968747, accuracy=0.817083 [Epoch 45][Batch 399], Speed: 69.429511 samples/sec, CrossEntropy=2.233769, SmoothL1=0.965669, accuracy=0.817067 [Epoch 45][Batch 499], Speed: 74.406299 samples/sec, CrossEntropy=2.233762, SmoothL1=0.962167, accuracy=0.817214 [Epoch 45] Training cost: 240.848330, CrossEntropy=2.234584, SmoothL1=0.962655, accuracy=0.817188 [Epoch 45] Validation: aeroplane=0.773407 bicycle=0.830456 bird=0.783921 boat=0.629752 bottle=0.516338 bus=0.842309 car=0.851089 cat=0.860437 chair=0.564637 cow=0.772770 diningtable=0.699463 dog=0.855874 horse=0.834003 motorbike=0.823816 person=0.786831 pottedplant=0.462743 sheep=0.774111 sofa=0.761084 train=0.832547 tvmonitor=0.733575 mAP=0.749458 [Epoch 46][Batch 99], Speed: 70.547341 samples/sec, CrossEntropy=2.212059, SmoothL1=0.961154, accuracy=0.818222 [Epoch 46][Batch 199], Speed: 72.994720 samples/sec, CrossEntropy=2.195328, SmoothL1=0.954084, accuracy=0.819361 [Epoch 46][Batch 299], Speed: 69.844280 samples/sec, CrossEntropy=2.201817, SmoothL1=0.952103, accuracy=0.818659 [Epoch 46][Batch 399], Speed: 73.138513 samples/sec, CrossEntropy=2.206565, SmoothL1=0.955061, accuracy=0.818610 [Epoch 46][Batch 499], Speed: 74.287816 samples/sec, CrossEntropy=2.211444, SmoothL1=0.959098, accuracy=0.818336 [Epoch 46] Training cost: 240.128744, CrossEntropy=2.214853, SmoothL1=0.958169, accuracy=0.818304 [Epoch 46] Validation: aeroplane=0.786911 bicycle=0.839169 bird=0.779050 boat=0.630650 bottle=0.502766 bus=0.819589 car=0.848482 cat=0.858041 chair=0.578019 cow=0.774562 diningtable=0.649935 dog=0.821422 horse=0.802854 motorbike=0.796418 person=0.778052 pottedplant=0.460121 sheep=0.758941 sofa=0.761582 train=0.840396 tvmonitor=0.739510 mAP=0.741323 [Epoch 47][Batch 99], Speed: 70.186984 samples/sec, CrossEntropy=2.223718, SmoothL1=0.955364, accuracy=0.816855 [Epoch 47][Batch 199], Speed: 72.688428 samples/sec, CrossEntropy=2.208740, SmoothL1=0.957277, accuracy=0.818111 [Epoch 47][Batch 299], Speed: 72.168799 samples/sec, CrossEntropy=2.217374, SmoothL1=0.962729, accuracy=0.817439 [Epoch 47][Batch 399], Speed: 69.689284 samples/sec, CrossEntropy=2.218039, SmoothL1=0.961499, accuracy=0.817330 [Epoch 47][Batch 499], Speed: 74.398710 samples/sec, CrossEntropy=2.216159, SmoothL1=0.962105, accuracy=0.817531 [Epoch 47] Training cost: 240.551666, CrossEntropy=2.214906, SmoothL1=0.960233, accuracy=0.817628 [Epoch 47] Validation: aeroplane=0.780725 bicycle=0.835113 bird=0.784925 boat=0.677204 bottle=0.496946 bus=0.832846 car=0.854689 cat=0.849996 chair=0.588029 cow=0.769570 diningtable=0.710850 dog=0.837359 horse=0.829124 motorbike=0.826503 person=0.778724 pottedplant=0.472269 sheep=0.773573 sofa=0.744397 train=0.840080 tvmonitor=0.756785 mAP=0.751985 [Epoch 48][Batch 99], Speed: 72.267849 samples/sec, CrossEntropy=2.168289, SmoothL1=0.936066, accuracy=0.820696 [Epoch 48][Batch 199], Speed: 64.224263 samples/sec, CrossEntropy=2.189899, SmoothL1=0.945747, accuracy=0.819630 [Epoch 48][Batch 299], Speed: 69.904229 samples/sec, CrossEntropy=2.205480, SmoothL1=0.952298, accuracy=0.818696 [Epoch 48][Batch 399], Speed: 71.725397 samples/sec, CrossEntropy=2.204998, SmoothL1=0.951743, accuracy=0.818721 [Epoch 48][Batch 499], Speed: 74.952492 samples/sec, CrossEntropy=2.202052, SmoothL1=0.945990, accuracy=0.819016 [Epoch 48] Training cost: 239.973823, CrossEntropy=2.202580, SmoothL1=0.946876, accuracy=0.818950 [Epoch 48] Validation: aeroplane=0.788131 bicycle=0.832413 bird=0.773490 boat=0.660622 bottle=0.503358 bus=0.843288 car=0.861472 cat=0.875728 chair=0.596029 cow=0.766528 diningtable=0.684877 dog=0.841563 horse=0.843153 motorbike=0.819857 person=0.788813 pottedplant=0.445069 sheep=0.768579 sofa=0.779420 train=0.844170 tvmonitor=0.766826 mAP=0.754169 [Epoch 49][Batch 99], Speed: 71.869769 samples/sec, CrossEntropy=2.192037, SmoothL1=0.944300, accuracy=0.819635 [Epoch 49][Batch 199], Speed: 71.644116 samples/sec, CrossEntropy=2.195352, SmoothL1=0.954031, accuracy=0.819740 [Epoch 49][Batch 299], Speed: 73.560366 samples/sec, CrossEntropy=2.196412, SmoothL1=0.952027, accuracy=0.819393 [Epoch 49][Batch 399], Speed: 71.281884 samples/sec, CrossEntropy=2.191693, SmoothL1=0.942980, accuracy=0.819600 [Epoch 49][Batch 499], Speed: 77.566181 samples/sec, CrossEntropy=2.196074, SmoothL1=0.946488, accuracy=0.819347 [Epoch 49] Training cost: 240.590263, CrossEntropy=2.193891, SmoothL1=0.945073, accuracy=0.819455 [Epoch 49] Validation: aeroplane=0.806365 bicycle=0.842653 bird=0.796140 boat=0.628604 bottle=0.524755 bus=0.843678 car=0.863161 cat=0.871044 chair=0.593495 cow=0.782272 diningtable=0.697735 dog=0.846754 horse=0.840588 motorbike=0.828752 person=0.791066 pottedplant=0.490152 sheep=0.802716 sofa=0.772767 train=0.841601 tvmonitor=0.761627 mAP=0.761296 [Epoch 50][Batch 99], Speed: 71.473729 samples/sec, CrossEntropy=2.193111, SmoothL1=0.953249, accuracy=0.817037 [Epoch 50][Batch 199], Speed: 71.184044 samples/sec, CrossEntropy=2.178638, SmoothL1=0.940480, accuracy=0.819515 [Epoch 50][Batch 299], Speed: 67.956588 samples/sec, CrossEntropy=2.180548, SmoothL1=0.951641, accuracy=0.820255 [Epoch 50][Batch 399], Speed: 71.287563 samples/sec, CrossEntropy=2.187311, SmoothL1=0.948950, accuracy=0.820117 [Epoch 50][Batch 499], Speed: 74.966014 samples/sec, CrossEntropy=2.186037, SmoothL1=0.948870, accuracy=0.819997 [Epoch 50] Training cost: 240.989961, CrossEntropy=2.182001, SmoothL1=0.947290, accuracy=0.820137 [Epoch 50] Validation: aeroplane=0.780045 bicycle=0.827027 bird=0.790763 boat=0.662640 bottle=0.512255 bus=0.855335 car=0.863483 cat=0.866441 chair=0.587197 cow=0.771605 diningtable=0.659996 dog=0.855061 horse=0.836591 motorbike=0.795267 person=0.788282 pottedplant=0.488242 sheep=0.796791 sofa=0.772329 train=0.826940 tvmonitor=0.746407 mAP=0.754135 [Epoch 51][Batch 99], Speed: 72.851294 samples/sec, CrossEntropy=2.139338, SmoothL1=0.894819, accuracy=0.822587 [Epoch 51][Batch 199], Speed: 72.248126 samples/sec, CrossEntropy=2.137721, SmoothL1=0.907158, accuracy=0.822980 [Epoch 51][Batch 299], Speed: 72.375756 samples/sec, CrossEntropy=2.149272, SmoothL1=0.922111, accuracy=0.822500 [Epoch 51][Batch 399], Speed: 66.436757 samples/sec, CrossEntropy=2.156822, SmoothL1=0.929644, accuracy=0.822040 [Epoch 51][Batch 499], Speed: 74.560434 samples/sec, CrossEntropy=2.159683, SmoothL1=0.931125, accuracy=0.821800 [Epoch 51] Training cost: 240.619856, CrossEntropy=2.160660, SmoothL1=0.932195, accuracy=0.821701 [Epoch 51] Validation: aeroplane=0.795189 bicycle=0.828958 bird=0.788208 boat=0.644323 bottle=0.517356 bus=0.845137 car=0.859834 cat=0.870567 chair=0.573948 cow=0.754319 diningtable=0.674623 dog=0.835495 horse=0.828258 motorbike=0.805598 person=0.793014 pottedplant=0.484108 sheep=0.753517 sofa=0.772233 train=0.852398 tvmonitor=0.744434 mAP=0.751076 [Epoch 52][Batch 99], Speed: 71.093250 samples/sec, CrossEntropy=2.143957, SmoothL1=0.938293, accuracy=0.820846 [Epoch 52][Batch 199], Speed: 72.985551 samples/sec, CrossEntropy=2.168335, SmoothL1=0.940033, accuracy=0.820582 [Epoch 52][Batch 299], Speed: 70.590753 samples/sec, CrossEntropy=2.154568, SmoothL1=0.928913, accuracy=0.821362 [Epoch 52][Batch 399], Speed: 71.974792 samples/sec, CrossEntropy=2.159154, SmoothL1=0.931754, accuracy=0.821227 [Epoch 52][Batch 499], Speed: 77.064433 samples/sec, CrossEntropy=2.163614, SmoothL1=0.930645, accuracy=0.820904 [Epoch 52] Training cost: 240.311171, CrossEntropy=2.164198, SmoothL1=0.930710, accuracy=0.820941 [Epoch 52] Validation: aeroplane=0.792069 bicycle=0.829265 bird=0.782009 boat=0.645801 bottle=0.522956 bus=0.851226 car=0.857462 cat=0.867251 chair=0.579849 cow=0.799480 diningtable=0.658440 dog=0.848004 horse=0.833841 motorbike=0.816987 person=0.792001 pottedplant=0.473110 sheep=0.780116 sofa=0.768408 train=0.839926 tvmonitor=0.751481 mAP=0.754484 [Epoch 53][Batch 99], Speed: 68.562422 samples/sec, CrossEntropy=2.127193, SmoothL1=0.936972, accuracy=0.822931 [Epoch 53][Batch 199], Speed: 71.955730 samples/sec, CrossEntropy=2.150674, SmoothL1=0.938622, accuracy=0.821759 [Epoch 53][Batch 299], Speed: 73.288435 samples/sec, CrossEntropy=2.155277, SmoothL1=0.936221, accuracy=0.821532 [Epoch 53][Batch 399], Speed: 72.973885 samples/sec, CrossEntropy=2.160994, SmoothL1=0.933518, accuracy=0.821014 [Epoch 53][Batch 499], Speed: 75.184086 samples/sec, CrossEntropy=2.160428, SmoothL1=0.928322, accuracy=0.821387 [Epoch 53] Training cost: 240.583800, CrossEntropy=2.161907, SmoothL1=0.928417, accuracy=0.821366 [Epoch 53] Validation: aeroplane=0.775016 bicycle=0.825900 bird=0.762694 boat=0.636476 bottle=0.523080 bus=0.826486 car=0.861514 cat=0.860076 chair=0.582106 cow=0.805289 diningtable=0.682333 dog=0.843623 horse=0.847272 motorbike=0.808824 person=0.790375 pottedplant=0.469492 sheep=0.768779 sofa=0.768970 train=0.820227 tvmonitor=0.756815 mAP=0.750767 [Epoch 54][Batch 99], Speed: 71.314721 samples/sec, CrossEntropy=2.122935, SmoothL1=0.915851, accuracy=0.824550 [Epoch 54][Batch 199], Speed: 70.181773 samples/sec, CrossEntropy=2.124564, SmoothL1=0.910560, accuracy=0.824283 [Epoch 54][Batch 299], Speed: 70.472184 samples/sec, CrossEntropy=2.128136, SmoothL1=0.915585, accuracy=0.823574 [Epoch 54][Batch 399], Speed: 67.821053 samples/sec, CrossEntropy=2.140635, SmoothL1=0.919033, accuracy=0.823192 [Epoch 54][Batch 499], Speed: 77.298597 samples/sec, CrossEntropy=2.146028, SmoothL1=0.922663, accuracy=0.822949 [Epoch 54] Training cost: 240.836293, CrossEntropy=2.146352, SmoothL1=0.922640, accuracy=0.822874 [Epoch 54] Validation: aeroplane=0.823876 bicycle=0.838295 bird=0.795370 boat=0.640752 bottle=0.531518 bus=0.849477 car=0.858669 cat=0.871953 chair=0.569870 cow=0.766530 diningtable=0.684619 dog=0.837937 horse=0.814720 motorbike=0.820528 person=0.791343 pottedplant=0.481833 sheep=0.777869 sofa=0.762620 train=0.832686 tvmonitor=0.751258 mAP=0.755086 [Epoch 55][Batch 99], Speed: 70.900143 samples/sec, CrossEntropy=2.108495, SmoothL1=0.933500, accuracy=0.824791 [Epoch 55][Batch 199], Speed: 73.581981 samples/sec, CrossEntropy=2.125518, SmoothL1=0.930424, accuracy=0.823792 [Epoch 55][Batch 299], Speed: 67.672304 samples/sec, CrossEntropy=2.126349, SmoothL1=0.926105, accuracy=0.823618 [Epoch 55][Batch 399], Speed: 69.364959 samples/sec, CrossEntropy=2.133321, SmoothL1=0.923569, accuracy=0.823183 [Epoch 55][Batch 499], Speed: 75.362404 samples/sec, CrossEntropy=2.135496, SmoothL1=0.921447, accuracy=0.823198 [Epoch 55] Training cost: 241.045966, CrossEntropy=2.135731, SmoothL1=0.921218, accuracy=0.823097 [Epoch 55] Validation: aeroplane=0.777331 bicycle=0.825871 bird=0.774384 boat=0.646716 bottle=0.504246 bus=0.846156 car=0.855679 cat=0.867234 chair=0.567771 cow=0.774929 diningtable=0.691764 dog=0.829605 horse=0.850457 motorbike=0.823763 person=0.789662 pottedplant=0.465706 sheep=0.744238 sofa=0.760764 train=0.813406 tvmonitor=0.754083 mAP=0.748188 [Epoch 56][Batch 99], Speed: 72.116063 samples/sec, CrossEntropy=2.091346, SmoothL1=0.882592, accuracy=0.825212 [Epoch 56][Batch 199], Speed: 72.182461 samples/sec, CrossEntropy=2.099833, SmoothL1=0.904109, accuracy=0.824900 [Epoch 56][Batch 299], Speed: 72.999683 samples/sec, CrossEntropy=2.114084, SmoothL1=0.913651, accuracy=0.823612 [Epoch 56][Batch 399], Speed: 70.783781 samples/sec, CrossEntropy=2.124509, SmoothL1=0.914273, accuracy=0.823260 [Epoch 56][Batch 499], Speed: 74.772649 samples/sec, CrossEntropy=2.122517, SmoothL1=0.910141, accuracy=0.823408 [Epoch 56] Training cost: 239.910380, CrossEntropy=2.126995, SmoothL1=0.912249, accuracy=0.823270 [Epoch 56] Validation: aeroplane=0.809309 bicycle=0.817521 bird=0.778993 boat=0.662588 bottle=0.483754 bus=0.846261 car=0.867396 cat=0.891340 chair=0.552204 cow=0.794875 diningtable=0.668990 dog=0.848579 horse=0.844456 motorbike=0.820603 person=0.780122 pottedplant=0.503469 sheep=0.782522 sofa=0.779927 train=0.832397 tvmonitor=0.772917 mAP=0.756911 [Epoch 57][Batch 99], Speed: 71.650541 samples/sec, CrossEntropy=2.104662, SmoothL1=0.915051, accuracy=0.823772 [Epoch 57][Batch 199], Speed: 70.680416 samples/sec, CrossEntropy=2.112226, SmoothL1=0.913490, accuracy=0.824560 [Epoch 57][Batch 299], Speed: 73.145847 samples/sec, CrossEntropy=2.117009, SmoothL1=0.913543, accuracy=0.823865 [Epoch 57][Batch 399], Speed: 71.337008 samples/sec, CrossEntropy=2.123946, SmoothL1=0.909447, accuracy=0.823592 [Epoch 57][Batch 499], Speed: 77.650682 samples/sec, CrossEntropy=2.125575, SmoothL1=0.909004, accuracy=0.823560 [Epoch 57] Training cost: 240.612845, CrossEntropy=2.124635, SmoothL1=0.908290, accuracy=0.823626 [Epoch 57] Validation: aeroplane=0.781660 bicycle=0.830887 bird=0.785405 boat=0.629546 bottle=0.476705 bus=0.838602 car=0.859226 cat=0.861130 chair=0.575463 cow=0.785294 diningtable=0.703845 dog=0.844749 horse=0.834529 motorbike=0.827043 person=0.786102 pottedplant=0.491292 sheep=0.740703 sofa=0.751028 train=0.821195 tvmonitor=0.766798 mAP=0.749560 [Epoch 58][Batch 99], Speed: 71.291387 samples/sec, CrossEntropy=2.088433, SmoothL1=0.913240, accuracy=0.827250 [Epoch 58][Batch 199], Speed: 71.899453 samples/sec, CrossEntropy=2.106020, SmoothL1=0.922365, accuracy=0.825774 [Epoch 58][Batch 299], Speed: 72.946598 samples/sec, CrossEntropy=2.102926, SmoothL1=0.917224, accuracy=0.826013 [Epoch 58][Batch 399], Speed: 72.382001 samples/sec, CrossEntropy=2.107087, SmoothL1=0.910624, accuracy=0.825189 [Epoch 58][Batch 499], Speed: 77.094312 samples/sec, CrossEntropy=2.102937, SmoothL1=0.908049, accuracy=0.825224 [Epoch 58] Training cost: 241.196335, CrossEntropy=2.106064, SmoothL1=0.911193, accuracy=0.825027 [Epoch 58] Validation: aeroplane=0.813829 bicycle=0.819679 bird=0.766437 boat=0.629486 bottle=0.498652 bus=0.839522 car=0.859711 cat=0.859615 chair=0.583772 cow=0.781577 diningtable=0.696685 dog=0.839702 horse=0.828893 motorbike=0.814067 person=0.770028 pottedplant=0.477877 sheep=0.776638 sofa=0.761557 train=0.806265 tvmonitor=0.764709 mAP=0.749435 [Epoch 59][Batch 99], Speed: 71.509486 samples/sec, CrossEntropy=2.111963, SmoothL1=0.919682, accuracy=0.824208 [Epoch 59][Batch 199], Speed: 73.686691 samples/sec, CrossEntropy=2.096323, SmoothL1=0.921264, accuracy=0.825481 [Epoch 59][Batch 299], Speed: 73.289115 samples/sec, CrossEntropy=2.108562, SmoothL1=0.913141, accuracy=0.824876 [Epoch 59][Batch 399], Speed: 70.207765 samples/sec, CrossEntropy=2.110656, SmoothL1=0.911031, accuracy=0.824434 [Epoch 59][Batch 499], Speed: 75.636544 samples/sec, CrossEntropy=2.112421, SmoothL1=0.907955, accuracy=0.824302 [Epoch 59] Training cost: 241.434006, CrossEntropy=2.109607, SmoothL1=0.906689, accuracy=0.824526 [Epoch 59] Validation: aeroplane=0.810839 bicycle=0.841430 bird=0.769356 boat=0.658323 bottle=0.519762 bus=0.866274 car=0.864967 cat=0.871634 chair=0.595129 cow=0.796888 diningtable=0.690463 dog=0.847551 horse=0.853131 motorbike=0.836474 person=0.789631 pottedplant=0.490560 sheep=0.751528 sofa=0.776760 train=0.829923 tvmonitor=0.760172 mAP=0.761040 [Epoch 60][Batch 99], Speed: 71.458546 samples/sec, CrossEntropy=2.076811, SmoothL1=0.885160, accuracy=0.826494 [Epoch 60][Batch 199], Speed: 72.389184 samples/sec, CrossEntropy=2.080764, SmoothL1=0.908838, accuracy=0.826267 [Epoch 60][Batch 299], Speed: 71.803637 samples/sec, CrossEntropy=2.077364, SmoothL1=0.906053, accuracy=0.827076 [Epoch 60][Batch 399], Speed: 73.136679 samples/sec, CrossEntropy=2.090039, SmoothL1=0.901508, accuracy=0.826108 [Epoch 60][Batch 499], Speed: 73.559317 samples/sec, CrossEntropy=2.091001, SmoothL1=0.898510, accuracy=0.825941 [Epoch 60] Training cost: 240.794798, CrossEntropy=2.087497, SmoothL1=0.895134, accuracy=0.826132 [Epoch 60] Validation: aeroplane=0.786813 bicycle=0.842673 bird=0.784866 boat=0.683593 bottle=0.503390 bus=0.846534 car=0.854815 cat=0.865074 chair=0.565767 cow=0.795995 diningtable=0.663091 dog=0.830691 horse=0.839518 motorbike=0.806677 person=0.784702 pottedplant=0.502058 sheep=0.792023 sofa=0.757534 train=0.845567 tvmonitor=0.764320 mAP=0.755785 [Epoch 61][Batch 99], Speed: 70.534921 samples/sec, CrossEntropy=2.099634, SmoothL1=0.907906, accuracy=0.824592 [Epoch 61][Batch 199], Speed: 71.386827 samples/sec, CrossEntropy=2.082531, SmoothL1=0.908891, accuracy=0.825714 [Epoch 61][Batch 299], Speed: 71.166946 samples/sec, CrossEntropy=2.084414, SmoothL1=0.900843, accuracy=0.826221 [Epoch 61][Batch 399], Speed: 65.927865 samples/sec, CrossEntropy=2.084832, SmoothL1=0.904075, accuracy=0.826455 [Epoch 61][Batch 499], Speed: 74.687809 samples/sec, CrossEntropy=2.087369, SmoothL1=0.899898, accuracy=0.826429 [Epoch 61] Training cost: 241.013213, CrossEntropy=2.088206, SmoothL1=0.899400, accuracy=0.826401 [Epoch 61] Validation: aeroplane=0.763525 bicycle=0.836124 bird=0.801931 boat=0.652182 bottle=0.543509 bus=0.849607 car=0.859005 cat=0.872076 chair=0.588360 cow=0.792151 diningtable=0.683907 dog=0.832728 horse=0.832878 motorbike=0.801181 person=0.784056 pottedplant=0.477313 sheep=0.757719 sofa=0.768069 train=0.836243 tvmonitor=0.735271 mAP=0.753392 [Epoch 62][Batch 99], Speed: 75.849880 samples/sec, CrossEntropy=2.082444, SmoothL1=0.893215, accuracy=0.828298 [Epoch 62][Batch 199], Speed: 65.803003 samples/sec, CrossEntropy=2.073166, SmoothL1=0.887095, accuracy=0.827354 [Epoch 62][Batch 299], Speed: 67.007314 samples/sec, CrossEntropy=2.091459, SmoothL1=0.895911, accuracy=0.825757 [Epoch 62][Batch 399], Speed: 71.782362 samples/sec, CrossEntropy=2.088886, SmoothL1=0.890535, accuracy=0.826021 [Epoch 62][Batch 499], Speed: 76.738029 samples/sec, CrossEntropy=2.087135, SmoothL1=0.889646, accuracy=0.826184 [Epoch 62] Training cost: 240.389445, CrossEntropy=2.087146, SmoothL1=0.889061, accuracy=0.826151 [Epoch 62] Validation: aeroplane=0.795896 bicycle=0.833991 bird=0.797500 boat=0.648330 bottle=0.524971 bus=0.846997 car=0.865044 cat=0.871686 chair=0.592500 cow=0.799282 diningtable=0.719415 dog=0.832159 horse=0.843877 motorbike=0.829783 person=0.801329 pottedplant=0.493951 sheep=0.783496 sofa=0.778520 train=0.842852 tvmonitor=0.771944 mAP=0.763676 [Epoch 63][Batch 99], Speed: 73.119985 samples/sec, CrossEntropy=2.055370, SmoothL1=0.876423, accuracy=0.828583 [Epoch 63][Batch 199], Speed: 71.583590 samples/sec, CrossEntropy=2.059155, SmoothL1=0.880686, accuracy=0.828332 [Epoch 63][Batch 299], Speed: 71.711410 samples/sec, CrossEntropy=2.068221, SmoothL1=0.885052, accuracy=0.827931 [Epoch 63][Batch 399], Speed: 71.233648 samples/sec, CrossEntropy=2.070748, SmoothL1=0.883782, accuracy=0.827632 [Epoch 63][Batch 499], Speed: 76.863583 samples/sec, CrossEntropy=2.072653, SmoothL1=0.882522, accuracy=0.827420 [Epoch 63] Training cost: 241.346147, CrossEntropy=2.073249, SmoothL1=0.883911, accuracy=0.827457 [Epoch 63] Validation: aeroplane=0.779775 bicycle=0.835144 bird=0.774702 boat=0.621970 bottle=0.561958 bus=0.838415 car=0.860745 cat=0.861672 chair=0.574019 cow=0.747748 diningtable=0.674692 dog=0.842822 horse=0.853159 motorbike=0.829236 person=0.791743 pottedplant=0.522368 sheep=0.773941 sofa=0.760600 train=0.839412 tvmonitor=0.756085 mAP=0.755010 [Epoch 64][Batch 99], Speed: 70.294137 samples/sec, CrossEntropy=2.031100, SmoothL1=0.877997, accuracy=0.829499 [Epoch 64][Batch 199], Speed: 71.748556 samples/sec, CrossEntropy=2.035691, SmoothL1=0.881551, accuracy=0.829217 [Epoch 64][Batch 299], Speed: 71.896526 samples/sec, CrossEntropy=2.052764, SmoothL1=0.887271, accuracy=0.828013 [Epoch 64][Batch 399], Speed: 72.392113 samples/sec, CrossEntropy=2.067755, SmoothL1=0.890427, accuracy=0.827463 [Epoch 64][Batch 499], Speed: 76.435832 samples/sec, CrossEntropy=2.070633, SmoothL1=0.892707, accuracy=0.827211 [Epoch 64] Training cost: 240.565309, CrossEntropy=2.070763, SmoothL1=0.890976, accuracy=0.827213 [Epoch 64] Validation: aeroplane=0.789199 bicycle=0.849492 bird=0.782512 boat=0.680031 bottle=0.525780 bus=0.845807 car=0.867066 cat=0.863778 chair=0.586304 cow=0.816253 diningtable=0.698956 dog=0.836475 horse=0.859374 motorbike=0.820252 person=0.788403 pottedplant=0.466978 sheep=0.771980 sofa=0.773020 train=0.838983 tvmonitor=0.778099 mAP=0.761937 [Epoch 65][Batch 99], Speed: 71.409463 samples/sec, CrossEntropy=2.021826, SmoothL1=0.871583, accuracy=0.829694 [Epoch 65][Batch 199], Speed: 72.038649 samples/sec, CrossEntropy=2.048309, SmoothL1=0.886358, accuracy=0.829180 [Epoch 65][Batch 299], Speed: 72.521076 samples/sec, CrossEntropy=2.049084, SmoothL1=0.890458, accuracy=0.829044 [Epoch 65][Batch 399], Speed: 69.249540 samples/sec, CrossEntropy=2.065499, SmoothL1=0.887676, accuracy=0.828568 [Epoch 65][Batch 499], Speed: 75.172422 samples/sec, CrossEntropy=2.070007, SmoothL1=0.883361, accuracy=0.827963 [Epoch 65] Training cost: 240.499305, CrossEntropy=2.070195, SmoothL1=0.884134, accuracy=0.827845 [Epoch 65] Validation: aeroplane=0.792966 bicycle=0.832595 bird=0.769034 boat=0.676489 bottle=0.551916 bus=0.858847 car=0.865125 cat=0.876990 chair=0.591376 cow=0.789474 diningtable=0.699377 dog=0.842153 horse=0.846540 motorbike=0.828080 person=0.789779 pottedplant=0.499037 sheep=0.789883 sofa=0.774978 train=0.841945 tvmonitor=0.772986 mAP=0.764478 [Epoch 66][Batch 99], Speed: 66.096172 samples/sec, CrossEntropy=2.042827, SmoothL1=0.879992, accuracy=0.830146 [Epoch 66][Batch 199], Speed: 71.374261 samples/sec, CrossEntropy=2.055622, SmoothL1=0.892030, accuracy=0.828835 [Epoch 66][Batch 299], Speed: 73.156252 samples/sec, CrossEntropy=2.064459, SmoothL1=0.891134, accuracy=0.828085 [Epoch 66][Batch 399], Speed: 72.733687 samples/sec, CrossEntropy=2.063511, SmoothL1=0.882012, accuracy=0.828450 [Epoch 66][Batch 499], Speed: 76.003001 samples/sec, CrossEntropy=2.064267, SmoothL1=0.885996, accuracy=0.828065 [Epoch 66] Training cost: 240.657625, CrossEntropy=2.064955, SmoothL1=0.885642, accuracy=0.828124 [Epoch 66] Validation: aeroplane=0.782213 bicycle=0.836068 bird=0.784672 boat=0.667643 bottle=0.544570 bus=0.830967 car=0.868163 cat=0.872418 chair=0.594578 cow=0.791918 diningtable=0.696696 dog=0.843430 horse=0.850499 motorbike=0.836371 person=0.794078 pottedplant=0.503898 sheep=0.754059 sofa=0.793155 train=0.843215 tvmonitor=0.753867 mAP=0.762124 [Epoch 67][Batch 99], Speed: 72.145523 samples/sec, CrossEntropy=2.004247, SmoothL1=0.864388, accuracy=0.832178 [Epoch 67][Batch 199], Speed: 73.135643 samples/sec, CrossEntropy=2.036654, SmoothL1=0.877473, accuracy=0.829876 [Epoch 67][Batch 299], Speed: 70.924196 samples/sec, CrossEntropy=2.044327, SmoothL1=0.879535, accuracy=0.829481 [Epoch 67][Batch 399], Speed: 71.671738 samples/sec, CrossEntropy=2.045669, SmoothL1=0.876375, accuracy=0.829354 [Epoch 67][Batch 499], Speed: 77.539474 samples/sec, CrossEntropy=2.045713, SmoothL1=0.875150, accuracy=0.829319 [Epoch 67] Training cost: 240.252866, CrossEntropy=2.047435, SmoothL1=0.876266, accuracy=0.829228 [Epoch 67] Validation: aeroplane=0.800532 bicycle=0.846828 bird=0.760051 boat=0.664290 bottle=0.538588 bus=0.846537 car=0.863464 cat=0.867925 chair=0.591362 cow=0.783154 diningtable=0.706656 dog=0.848766 horse=0.830112 motorbike=0.820938 person=0.785778 pottedplant=0.479385 sheep=0.787740 sofa=0.759949 train=0.825564 tvmonitor=0.739833 mAP=0.757373 [Epoch 68][Batch 99], Speed: 69.475980 samples/sec, CrossEntropy=2.009047, SmoothL1=0.859575, accuracy=0.833226 [Epoch 68][Batch 199], Speed: 71.792806 samples/sec, CrossEntropy=2.023333, SmoothL1=0.869174, accuracy=0.832373 [Epoch 68][Batch 299], Speed: 71.346565 samples/sec, CrossEntropy=2.031831, SmoothL1=0.869718, accuracy=0.830787 [Epoch 68][Batch 399], Speed: 68.924083 samples/sec, CrossEntropy=2.039442, SmoothL1=0.872425, accuracy=0.830171 [Epoch 68][Batch 499], Speed: 75.739108 samples/sec, CrossEntropy=2.038745, SmoothL1=0.869199, accuracy=0.829848 [Epoch 68] Training cost: 241.231690, CrossEntropy=2.044492, SmoothL1=0.872217, accuracy=0.829583 [Epoch 68] Validation: aeroplane=0.783934 bicycle=0.841597 bird=0.772395 boat=0.679650 bottle=0.521966 bus=0.847907 car=0.867376 cat=0.869704 chair=0.581815 cow=0.807210 diningtable=0.722154 dog=0.849843 horse=0.821160 motorbike=0.816826 person=0.777663 pottedplant=0.477473 sheep=0.757995 sofa=0.755687 train=0.826971 tvmonitor=0.732887 mAP=0.755611 [Epoch 69][Batch 99], Speed: 70.136994 samples/sec, CrossEntropy=2.017296, SmoothL1=0.872598, accuracy=0.831430 [Epoch 69][Batch 199], Speed: 69.062113 samples/sec, CrossEntropy=2.014200, SmoothL1=0.875400, accuracy=0.831284 [Epoch 69][Batch 299], Speed: 70.246310 samples/sec, CrossEntropy=2.033541, SmoothL1=0.882000, accuracy=0.829915 [Epoch 69][Batch 399], Speed: 69.569899 samples/sec, CrossEntropy=2.036206, SmoothL1=0.878155, accuracy=0.829794 [Epoch 69][Batch 499], Speed: 77.517889 samples/sec, CrossEntropy=2.038409, SmoothL1=0.879478, accuracy=0.829934 [Epoch 69] Training cost: 240.387686, CrossEntropy=2.037036, SmoothL1=0.876825, accuracy=0.830023 [Epoch 69] Validation: aeroplane=0.797660 bicycle=0.835785 bird=0.773765 boat=0.667896 bottle=0.565631 bus=0.846855 car=0.869056 cat=0.867063 chair=0.592618 cow=0.776538 diningtable=0.702342 dog=0.823238 horse=0.836143 motorbike=0.846045 person=0.795468 pottedplant=0.492207 sheep=0.789135 sofa=0.774814 train=0.833599 tvmonitor=0.765056 mAP=0.762546 [Epoch 70][Batch 99], Speed: 71.822003 samples/sec, CrossEntropy=1.964640, SmoothL1=0.818456, accuracy=0.834342 [Epoch 70][Batch 199], Speed: 71.327607 samples/sec, CrossEntropy=2.000648, SmoothL1=0.843553, accuracy=0.831975 [Epoch 70][Batch 299], Speed: 71.545470 samples/sec, CrossEntropy=2.017492, SmoothL1=0.853836, accuracy=0.831401 [Epoch 70][Batch 399], Speed: 70.721681 samples/sec, CrossEntropy=2.023857, SmoothL1=0.859770, accuracy=0.831015 [Epoch 70][Batch 499], Speed: 76.365205 samples/sec, CrossEntropy=2.032107, SmoothL1=0.863557, accuracy=0.830592 [Epoch 70] Training cost: 240.237292, CrossEntropy=2.031497, SmoothL1=0.863721, accuracy=0.830589 [Epoch 70] Validation: aeroplane=0.807888 bicycle=0.861608 bird=0.789306 boat=0.659289 bottle=0.563085 bus=0.857823 car=0.865393 cat=0.877319 chair=0.620931 cow=0.802455 diningtable=0.727942 dog=0.839083 horse=0.850993 motorbike=0.822886 person=0.790727 pottedplant=0.503089 sheep=0.765899 sofa=0.799094 train=0.816337 tvmonitor=0.767529 mAP=0.769434 [Epoch 71][Batch 99], Speed: 68.381896 samples/sec, CrossEntropy=1.994479, SmoothL1=0.844737, accuracy=0.833920 [Epoch 71][Batch 199], Speed: 70.647045 samples/sec, CrossEntropy=2.003368, SmoothL1=0.869232, accuracy=0.831703 [Epoch 71][Batch 299], Speed: 72.837536 samples/sec, CrossEntropy=2.010336, SmoothL1=0.864383, accuracy=0.830948 [Epoch 71][Batch 399], Speed: 72.256761 samples/sec, CrossEntropy=2.012981, SmoothL1=0.861352, accuracy=0.831101 [Epoch 71][Batch 499], Speed: 77.024188 samples/sec, CrossEntropy=2.013702, SmoothL1=0.861844, accuracy=0.831146 [Epoch 71] Training cost: 241.099410, CrossEntropy=2.015129, SmoothL1=0.862400, accuracy=0.831110 [Epoch 71] Validation: aeroplane=0.820518 bicycle=0.834969 bird=0.784577 boat=0.670400 bottle=0.543870 bus=0.852423 car=0.865576 cat=0.862365 chair=0.578419 cow=0.750812 diningtable=0.691969 dog=0.832494 horse=0.804406 motorbike=0.812409 person=0.784509 pottedplant=0.498207 sheep=0.796045 sofa=0.755368 train=0.831115 tvmonitor=0.750647 mAP=0.756055 [Epoch 72][Batch 99], Speed: 72.699846 samples/sec, CrossEntropy=1.991777, SmoothL1=0.859848, accuracy=0.834324 [Epoch 72][Batch 199], Speed: 69.787917 samples/sec, CrossEntropy=2.003683, SmoothL1=0.859215, accuracy=0.832509 [Epoch 72][Batch 299], Speed: 71.012341 samples/sec, CrossEntropy=2.005836, SmoothL1=0.862098, accuracy=0.832135 [Epoch 72][Batch 399], Speed: 72.928167 samples/sec, CrossEntropy=2.015355, SmoothL1=0.858662, accuracy=0.831400 [Epoch 72][Batch 499], Speed: 75.284708 samples/sec, CrossEntropy=2.015359, SmoothL1=0.857624, accuracy=0.831610 [Epoch 72] Training cost: 240.668502, CrossEntropy=2.014163, SmoothL1=0.857810, accuracy=0.831705 [Epoch 72] Validation: aeroplane=0.794068 bicycle=0.834690 bird=0.800202 boat=0.659688 bottle=0.537664 bus=0.845968 car=0.865600 cat=0.879460 chair=0.601489 cow=0.749147 diningtable=0.700781 dog=0.843548 horse=0.846066 motorbike=0.809240 person=0.794073 pottedplant=0.503044 sheep=0.773218 sofa=0.774713 train=0.855840 tvmonitor=0.743958 mAP=0.760623 [Epoch 73][Batch 99], Speed: 73.861911 samples/sec, CrossEntropy=1.975109, SmoothL1=0.848064, accuracy=0.834836 [Epoch 73][Batch 199], Speed: 72.721313 samples/sec, CrossEntropy=1.965135, SmoothL1=0.845760, accuracy=0.834594 [Epoch 73][Batch 299], Speed: 68.735912 samples/sec, CrossEntropy=1.983145, SmoothL1=0.851081, accuracy=0.833032 [Epoch 73][Batch 399], Speed: 70.716986 samples/sec, CrossEntropy=1.991083, SmoothL1=0.855504, accuracy=0.832483 [Epoch 73][Batch 499], Speed: 74.153031 samples/sec, CrossEntropy=1.997640, SmoothL1=0.852217, accuracy=0.832047 [Epoch 73] Training cost: 240.704741, CrossEntropy=1.997670, SmoothL1=0.853174, accuracy=0.832068 [Epoch 73] Validation: aeroplane=0.799035 bicycle=0.840562 bird=0.778751 boat=0.650130 bottle=0.489684 bus=0.857882 car=0.850854 cat=0.871891 chair=0.592684 cow=0.786798 diningtable=0.706278 dog=0.860361 horse=0.850587 motorbike=0.806969 person=0.789626 pottedplant=0.494965 sheep=0.761638 sofa=0.784681 train=0.853702 tvmonitor=0.735857 mAP=0.758147 [Epoch 74][Batch 99], Speed: 73.353763 samples/sec, CrossEntropy=1.978978, SmoothL1=0.828459, accuracy=0.833914 [Epoch 74][Batch 199], Speed: 71.978034 samples/sec, CrossEntropy=1.990323, SmoothL1=0.843290, accuracy=0.833312 [Epoch 74][Batch 299], Speed: 71.086171 samples/sec, CrossEntropy=1.994458, SmoothL1=0.847687, accuracy=0.832898 [Epoch 74][Batch 399], Speed: 70.526693 samples/sec, CrossEntropy=2.004090, SmoothL1=0.851050, accuracy=0.832532 [Epoch 74][Batch 499], Speed: 77.522008 samples/sec, CrossEntropy=1.996880, SmoothL1=0.846440, accuracy=0.832961 [Epoch 74] Training cost: 240.581418, CrossEntropy=1.997015, SmoothL1=0.845665, accuracy=0.832959 [Epoch 74] Validation: aeroplane=0.798708 bicycle=0.843145 bird=0.776619 boat=0.673733 bottle=0.535674 bus=0.827174 car=0.861125 cat=0.884747 chair=0.603507 cow=0.797741 diningtable=0.710180 dog=0.841266 horse=0.856579 motorbike=0.822275 person=0.794671 pottedplant=0.505946 sheep=0.786081 sofa=0.776997 train=0.845401 tvmonitor=0.761082 mAP=0.765133 [Epoch 75][Batch 99], Speed: 69.064210 samples/sec, CrossEntropy=1.970432, SmoothL1=0.830421, accuracy=0.834376 [Epoch 75][Batch 199], Speed: 69.846861 samples/sec, CrossEntropy=1.982915, SmoothL1=0.855207, accuracy=0.833754 [Epoch 75][Batch 299], Speed: 70.785797 samples/sec, CrossEntropy=1.970578, SmoothL1=0.852254, accuracy=0.834726 [Epoch 75][Batch 399], Speed: 64.016270 samples/sec, CrossEntropy=1.979134, SmoothL1=0.853063, accuracy=0.834185 [Epoch 75][Batch 499], Speed: 76.973962 samples/sec, CrossEntropy=1.987063, SmoothL1=0.854740, accuracy=0.833275 [Epoch 75] Training cost: 240.368025, CrossEntropy=1.988243, SmoothL1=0.856675, accuracy=0.833261 [Epoch 75] Validation: aeroplane=0.804896 bicycle=0.853298 bird=0.791388 boat=0.682589 bottle=0.516637 bus=0.846091 car=0.859728 cat=0.872286 chair=0.603795 cow=0.773450 diningtable=0.700233 dog=0.840987 horse=0.851718 motorbike=0.827666 person=0.785678 pottedplant=0.482145 sheep=0.782846 sofa=0.788288 train=0.844390 tvmonitor=0.752860 mAP=0.763048 [Epoch 76][Batch 99], Speed: 67.112689 samples/sec, CrossEntropy=1.953580, SmoothL1=0.846954, accuracy=0.835157 [Epoch 76][Batch 199], Speed: 73.283073 samples/sec, CrossEntropy=1.957633, SmoothL1=0.844522, accuracy=0.835377 [Epoch 76][Batch 299], Speed: 72.126487 samples/sec, CrossEntropy=1.967734, SmoothL1=0.848403, accuracy=0.834784 [Epoch 76][Batch 399], Speed: 68.636261 samples/sec, CrossEntropy=1.977860, SmoothL1=0.847971, accuracy=0.833883 [Epoch 76][Batch 499], Speed: 76.722412 samples/sec, CrossEntropy=1.987518, SmoothL1=0.851391, accuracy=0.833422 [Epoch 76] Training cost: 240.612812, CrossEntropy=1.985604, SmoothL1=0.848769, accuracy=0.833548 [Epoch 76] Validation: aeroplane=0.779160 bicycle=0.837872 bird=0.775161 boat=0.666103 bottle=0.515446 bus=0.847024 car=0.860928 cat=0.874652 chair=0.607473 cow=0.774156 diningtable=0.677890 dog=0.848010 horse=0.863286 motorbike=0.827092 person=0.795756 pottedplant=0.508866 sheep=0.786003 sofa=0.790298 train=0.828139 tvmonitor=0.760980 mAP=0.761215 [Epoch 77][Batch 99], Speed: 71.497335 samples/sec, CrossEntropy=1.963950, SmoothL1=0.844623, accuracy=0.835463 [Epoch 77][Batch 199], Speed: 71.231418 samples/sec, CrossEntropy=1.975964, SmoothL1=0.854457, accuracy=0.834367 [Epoch 77][Batch 299], Speed: 66.833477 samples/sec, CrossEntropy=1.978751, SmoothL1=0.850603, accuracy=0.834304 [Epoch 77][Batch 399], Speed: 69.911111 samples/sec, CrossEntropy=1.990195, SmoothL1=0.851907, accuracy=0.833629 [Epoch 77][Batch 499], Speed: 77.747659 samples/sec, CrossEntropy=1.987693, SmoothL1=0.850535, accuracy=0.833636 [Epoch 77] Training cost: 241.127760, CrossEntropy=1.988614, SmoothL1=0.850998, accuracy=0.833600 [Epoch 77] Validation: aeroplane=0.805591 bicycle=0.848395 bird=0.787510 boat=0.670269 bottle=0.556197 bus=0.840295 car=0.863558 cat=0.873042 chair=0.604686 cow=0.787595 diningtable=0.725159 dog=0.846536 horse=0.842175 motorbike=0.825537 person=0.794467 pottedplant=0.511576 sheep=0.788546 sofa=0.765661 train=0.848469 tvmonitor=0.743525 mAP=0.766439 [Epoch 78][Batch 99], Speed: 73.009014 samples/sec, CrossEntropy=1.975456, SmoothL1=0.831122, accuracy=0.835682 [Epoch 78][Batch 199], Speed: 70.323639 samples/sec, CrossEntropy=1.986206, SmoothL1=0.840865, accuracy=0.834116 [Epoch 78][Batch 299], Speed: 73.225540 samples/sec, CrossEntropy=1.985531, SmoothL1=0.850151, accuracy=0.833682 [Epoch 78][Batch 399], Speed: 73.271151 samples/sec, CrossEntropy=1.988612, SmoothL1=0.852085, accuracy=0.833454 [Epoch 78][Batch 499], Speed: 75.488588 samples/sec, CrossEntropy=1.990298, SmoothL1=0.845902, accuracy=0.833370 [Epoch 78] Training cost: 241.437733, CrossEntropy=1.989002, SmoothL1=0.845154, accuracy=0.833475 [Epoch 78] Validation: aeroplane=0.770709 bicycle=0.835021 bird=0.776472 boat=0.638297 bottle=0.556056 bus=0.842129 car=0.864191 cat=0.877337 chair=0.594254 cow=0.793727 diningtable=0.720223 dog=0.847515 horse=0.841102 motorbike=0.834525 person=0.790255 pottedplant=0.484094 sheep=0.781075 sofa=0.797197 train=0.834601 tvmonitor=0.748938 mAP=0.761386 [Epoch 79][Batch 99], Speed: 72.606992 samples/sec, CrossEntropy=1.947735, SmoothL1=0.824127, accuracy=0.835483 [Epoch 79][Batch 199], Speed: 71.072883 samples/sec, CrossEntropy=1.971559, SmoothL1=0.839578, accuracy=0.834692 [Epoch 79][Batch 299], Speed: 73.172126 samples/sec, CrossEntropy=1.965673, SmoothL1=0.833864, accuracy=0.834789 [Epoch 79][Batch 399], Speed: 66.291555 samples/sec, CrossEntropy=1.973206, SmoothL1=0.838428, accuracy=0.833990 [Epoch 79][Batch 499], Speed: 75.175074 samples/sec, CrossEntropy=1.968273, SmoothL1=0.835717, accuracy=0.834357 [Epoch 79] Training cost: 240.757611, CrossEntropy=1.967776, SmoothL1=0.835547, accuracy=0.834400 [Epoch 79] Validation: aeroplane=0.817071 bicycle=0.839968 bird=0.777490 boat=0.673641 bottle=0.545341 bus=0.829100 car=0.865055 cat=0.878120 chair=0.596989 cow=0.801509 diningtable=0.702438 dog=0.839273 horse=0.850455 motorbike=0.846364 person=0.789364 pottedplant=0.507161 sheep=0.785972 sofa=0.800042 train=0.832727 tvmonitor=0.776626 mAP=0.767735 [Epoch 80][Batch 99], Speed: 68.952304 samples/sec, CrossEntropy=1.964308, SmoothL1=0.826319, accuracy=0.835181 [Epoch 80][Batch 199], Speed: 68.705336 samples/sec, CrossEntropy=1.971337, SmoothL1=0.841260, accuracy=0.834797 [Epoch 80][Batch 299], Speed: 68.988880 samples/sec, CrossEntropy=1.976692, SmoothL1=0.841045, accuracy=0.833858 [Epoch 80][Batch 399], Speed: 70.890556 samples/sec, CrossEntropy=1.979457, SmoothL1=0.836999, accuracy=0.833905 [Epoch 80][Batch 499], Speed: 73.061196 samples/sec, CrossEntropy=1.982499, SmoothL1=0.837101, accuracy=0.833809 [Epoch 80] Training cost: 240.252015, CrossEntropy=1.982945, SmoothL1=0.835940, accuracy=0.833753 [Epoch 80] Validation: aeroplane=0.828140 bicycle=0.834807 bird=0.795516 boat=0.684975 bottle=0.546495 bus=0.824387 car=0.864323 cat=0.883643 chair=0.599925 cow=0.786239 diningtable=0.717661 dog=0.846227 horse=0.844078 motorbike=0.839102 person=0.784652 pottedplant=0.479712 sheep=0.774955 sofa=0.774421 train=0.851538 tvmonitor=0.763024 mAP=0.766191 [Epoch 81][Batch 99], Speed: 72.480503 samples/sec, CrossEntropy=1.996568, SmoothL1=0.845679, accuracy=0.834124 [Epoch 81][Batch 199], Speed: 71.913013 samples/sec, CrossEntropy=1.980249, SmoothL1=0.845462, accuracy=0.834662 [Epoch 81][Batch 299], Speed: 72.584100 samples/sec, CrossEntropy=1.972923, SmoothL1=0.837881, accuracy=0.835129 [Epoch 81][Batch 399], Speed: 71.566910 samples/sec, CrossEntropy=1.972122, SmoothL1=0.835812, accuracy=0.835013 [Epoch 81][Batch 499], Speed: 69.496773 samples/sec, CrossEntropy=1.965757, SmoothL1=0.834149, accuracy=0.835087 [Epoch 81] Training cost: 240.600961, CrossEntropy=1.963871, SmoothL1=0.832821, accuracy=0.835237 [Epoch 81] Validation: aeroplane=0.807424 bicycle=0.840855 bird=0.786042 boat=0.681212 bottle=0.543589 bus=0.855904 car=0.869531 cat=0.875522 chair=0.595954 cow=0.816424 diningtable=0.747789 dog=0.850683 horse=0.846162 motorbike=0.848842 person=0.798250 pottedplant=0.482165 sheep=0.804853 sofa=0.795820 train=0.841139 tvmonitor=0.757627 mAP=0.772289 [Epoch 82][Batch 99], Speed: 71.506781 samples/sec, CrossEntropy=1.963873, SmoothL1=0.836674, accuracy=0.836342 [Epoch 82][Batch 199], Speed: 72.740664 samples/sec, CrossEntropy=1.949884, SmoothL1=0.839089, accuracy=0.836162 [Epoch 82][Batch 299], Speed: 70.860914 samples/sec, CrossEntropy=1.957203, SmoothL1=0.832923, accuracy=0.835210 [Epoch 82][Batch 399], Speed: 70.800845 samples/sec, CrossEntropy=1.955482, SmoothL1=0.826851, accuracy=0.835392 [Epoch 82][Batch 499], Speed: 77.089486 samples/sec, CrossEntropy=1.964736, SmoothL1=0.827687, accuracy=0.834790 [Epoch 82] Training cost: 241.265071, CrossEntropy=1.964915, SmoothL1=0.827687, accuracy=0.834868 [Epoch 82] Validation: aeroplane=0.816657 bicycle=0.844749 bird=0.778442 boat=0.696335 bottle=0.481590 bus=0.861910 car=0.865227 cat=0.878692 chair=0.580952 cow=0.786289 diningtable=0.722811 dog=0.848521 horse=0.843694 motorbike=0.829955 person=0.791366 pottedplant=0.483576 sheep=0.788461 sofa=0.796196 train=0.822470 tvmonitor=0.743070 mAP=0.763048 [Epoch 83][Batch 99], Speed: 72.001511 samples/sec, CrossEntropy=1.946624, SmoothL1=0.835748, accuracy=0.836280 [Epoch 83][Batch 199], Speed: 68.566099 samples/sec, CrossEntropy=1.949403, SmoothL1=0.834887, accuracy=0.836292 [Epoch 83][Batch 299], Speed: 67.974451 samples/sec, CrossEntropy=1.952733, SmoothL1=0.829067, accuracy=0.835823 [Epoch 83][Batch 399], Speed: 73.720162 samples/sec, CrossEntropy=1.956387, SmoothL1=0.831503, accuracy=0.835647 [Epoch 83][Batch 499], Speed: 76.189035 samples/sec, CrossEntropy=1.958231, SmoothL1=0.828804, accuracy=0.835587 [Epoch 83] Training cost: 240.442853, CrossEntropy=1.956455, SmoothL1=0.826362, accuracy=0.835789 [Epoch 83] Validation: aeroplane=0.799605 bicycle=0.832449 bird=0.751280 boat=0.680035 bottle=0.545643 bus=0.849154 car=0.860590 cat=0.865698 chair=0.575126 cow=0.818619 diningtable=0.703600 dog=0.837181 horse=0.853442 motorbike=0.833211 person=0.790100 pottedplant=0.498161 sheep=0.767870 sofa=0.787459 train=0.831367 tvmonitor=0.760364 mAP=0.762048 [Epoch 84][Batch 99], Speed: 72.593130 samples/sec, CrossEntropy=1.922380, SmoothL1=0.821611, accuracy=0.838181 [Epoch 84][Batch 199], Speed: 73.635874 samples/sec, CrossEntropy=1.952163, SmoothL1=0.838667, accuracy=0.836326 [Epoch 84][Batch 299], Speed: 73.367918 samples/sec, CrossEntropy=1.945860, SmoothL1=0.830853, accuracy=0.836624 [Epoch 84][Batch 399], Speed: 71.627293 samples/sec, CrossEntropy=1.951601, SmoothL1=0.830757, accuracy=0.836309 [Epoch 84][Batch 499], Speed: 77.225834 samples/sec, CrossEntropy=1.953395, SmoothL1=0.832050, accuracy=0.835930 [Epoch 84] Training cost: 240.206108, CrossEntropy=1.952663, SmoothL1=0.832669, accuracy=0.836019 [Epoch 84] Validation: aeroplane=0.806542 bicycle=0.832586 bird=0.765997 boat=0.673381 bottle=0.556486 bus=0.850001 car=0.867081 cat=0.856728 chair=0.578204 cow=0.802157 diningtable=0.696787 dog=0.841116 horse=0.841896 motorbike=0.836057 person=0.786211 pottedplant=0.494333 sheep=0.793728 sofa=0.779366 train=0.835415 tvmonitor=0.764762 mAP=0.762942 [Epoch 85][Batch 99], Speed: 72.001356 samples/sec, CrossEntropy=1.923932, SmoothL1=0.800291, accuracy=0.838919 [Epoch 85][Batch 199], Speed: 69.644733 samples/sec, CrossEntropy=1.920676, SmoothL1=0.816537, accuracy=0.837884 [Epoch 85][Batch 299], Speed: 72.292527 samples/sec, CrossEntropy=1.934537, SmoothL1=0.820264, accuracy=0.837108 [Epoch 85][Batch 399], Speed: 73.515038 samples/sec, CrossEntropy=1.939288, SmoothL1=0.820435, accuracy=0.836775 [Epoch 85][Batch 499], Speed: 72.504348 samples/sec, CrossEntropy=1.944837, SmoothL1=0.827409, accuracy=0.836394 [Epoch 85] Training cost: 240.404111, CrossEntropy=1.945314, SmoothL1=0.825749, accuracy=0.836397 [Epoch 85] Validation: aeroplane=0.806859 bicycle=0.841046 bird=0.779868 boat=0.705916 bottle=0.527481 bus=0.846341 car=0.865457 cat=0.865801 chair=0.586030 cow=0.775328 diningtable=0.699729 dog=0.838244 horse=0.842689 motorbike=0.837662 person=0.791500 pottedplant=0.506928 sheep=0.774731 sofa=0.793998 train=0.839676 tvmonitor=0.756107 mAP=0.764069 [Epoch 86][Batch 99], Speed: 72.363153 samples/sec, CrossEntropy=1.912370, SmoothL1=0.784771, accuracy=0.838616 [Epoch 86][Batch 199], Speed: 72.585906 samples/sec, CrossEntropy=1.921117, SmoothL1=0.800196, accuracy=0.838367 [Epoch 86][Batch 299], Speed: 69.744292 samples/sec, CrossEntropy=1.928176, SmoothL1=0.807608, accuracy=0.838430 [Epoch 86][Batch 399], Speed: 72.941960 samples/sec, CrossEntropy=1.925904, SmoothL1=0.809024, accuracy=0.838385 [Epoch 86][Batch 499], Speed: 77.282930 samples/sec, CrossEntropy=1.934115, SmoothL1=0.815892, accuracy=0.837701 [Epoch 86] Training cost: 241.214601, CrossEntropy=1.936020, SmoothL1=0.815816, accuracy=0.837675 [Epoch 86] Validation: aeroplane=0.782529 bicycle=0.854877 bird=0.782878 boat=0.668595 bottle=0.509240 bus=0.838366 car=0.862089 cat=0.873665 chair=0.582103 cow=0.820165 diningtable=0.725170 dog=0.845517 horse=0.838295 motorbike=0.829419 person=0.786207 pottedplant=0.508907 sheep=0.787999 sofa=0.798220 train=0.836010 tvmonitor=0.767151 mAP=0.764870 [Epoch 87][Batch 99], Speed: 72.705123 samples/sec, CrossEntropy=1.909173, SmoothL1=0.807081, accuracy=0.837427 [Epoch 87][Batch 199], Speed: 69.151495 samples/sec, CrossEntropy=1.923996, SmoothL1=0.815673, accuracy=0.837667 [Epoch 87][Batch 299], Speed: 68.736510 samples/sec, CrossEntropy=1.941234, SmoothL1=0.826024, accuracy=0.836555 [Epoch 87][Batch 399], Speed: 65.248721 samples/sec, CrossEntropy=1.947880, SmoothL1=0.826016, accuracy=0.835919 [Epoch 87][Batch 499], Speed: 75.870932 samples/sec, CrossEntropy=1.944131, SmoothL1=0.824926, accuracy=0.836424 [Epoch 87] Training cost: 239.985745, CrossEntropy=1.943207, SmoothL1=0.824023, accuracy=0.836536 [Epoch 87] Validation: aeroplane=0.775855 bicycle=0.846444 bird=0.749734 boat=0.676429 bottle=0.486542 bus=0.850325 car=0.855262 cat=0.862174 chair=0.582083 cow=0.786825 diningtable=0.719237 dog=0.830896 horse=0.849635 motorbike=0.827384 person=0.794549 pottedplant=0.517707 sheep=0.785657 sofa=0.779835 train=0.811749 tvmonitor=0.742289 mAP=0.756531 [Epoch 88][Batch 99], Speed: 62.494257 samples/sec, CrossEntropy=1.892483, SmoothL1=0.797577, accuracy=0.840522 [Epoch 88][Batch 199], Speed: 72.207081 samples/sec, CrossEntropy=1.904015, SmoothL1=0.819345, accuracy=0.839235 [Epoch 88][Batch 299], Speed: 72.730574 samples/sec, CrossEntropy=1.918610, SmoothL1=0.823724, accuracy=0.838492 [Epoch 88][Batch 399], Speed: 71.293924 samples/sec, CrossEntropy=1.934715, SmoothL1=0.824852, accuracy=0.837614 [Epoch 88][Batch 499], Speed: 77.008587 samples/sec, CrossEntropy=1.935350, SmoothL1=0.822488, accuracy=0.837487 [Epoch 88] Training cost: 240.250325, CrossEntropy=1.934773, SmoothL1=0.820405, accuracy=0.837420 [Epoch 88] Validation: aeroplane=0.820132 bicycle=0.844421 bird=0.781769 boat=0.670884 bottle=0.547244 bus=0.840096 car=0.858429 cat=0.866830 chair=0.598279 cow=0.810372 diningtable=0.707142 dog=0.845032 horse=0.841187 motorbike=0.839517 person=0.789548 pottedplant=0.529963 sheep=0.770767 sofa=0.754892 train=0.832939 tvmonitor=0.756256 mAP=0.765285 [Epoch 89][Batch 99], Speed: 71.992628 samples/sec, CrossEntropy=1.950797, SmoothL1=0.825348, accuracy=0.836212 [Epoch 89][Batch 199], Speed: 72.096422 samples/sec, CrossEntropy=1.937993, SmoothL1=0.831111, accuracy=0.836705 [Epoch 89][Batch 299], Speed: 72.468841 samples/sec, CrossEntropy=1.925656, SmoothL1=0.819132, accuracy=0.837723 [Epoch 89][Batch 399], Speed: 69.649395 samples/sec, CrossEntropy=1.929920, SmoothL1=0.819561, accuracy=0.837681 [Epoch 89][Batch 499], Speed: 75.367016 samples/sec, CrossEntropy=1.927313, SmoothL1=0.815958, accuracy=0.837531 [Epoch 89] Training cost: 240.524432, CrossEntropy=1.929957, SmoothL1=0.816064, accuracy=0.837447 [Epoch 89] Validation: aeroplane=0.791428 bicycle=0.833062 bird=0.793389 boat=0.661268 bottle=0.508320 bus=0.837752 car=0.857215 cat=0.878589 chair=0.600010 cow=0.779302 diningtable=0.709526 dog=0.846810 horse=0.832820 motorbike=0.831046 person=0.788738 pottedplant=0.506210 sheep=0.771328 sofa=0.797730 train=0.854830 tvmonitor=0.758279 mAP=0.761883 [Epoch 90][Batch 99], Speed: 72.235411 samples/sec, CrossEntropy=1.909139, SmoothL1=0.818242, accuracy=0.839505 [Epoch 90][Batch 199], Speed: 70.528880 samples/sec, CrossEntropy=1.918153, SmoothL1=0.825177, accuracy=0.838981 [Epoch 90][Batch 299], Speed: 68.659224 samples/sec, CrossEntropy=1.936101, SmoothL1=0.826692, accuracy=0.837724 [Epoch 90][Batch 399], Speed: 71.707234 samples/sec, CrossEntropy=1.934208, SmoothL1=0.822970, accuracy=0.837741 [Epoch 90][Batch 499], Speed: 76.283998 samples/sec, CrossEntropy=1.927132, SmoothL1=0.818466, accuracy=0.838317 [Epoch 90] Training cost: 241.400136, CrossEntropy=1.927121, SmoothL1=0.817728, accuracy=0.838188 [Epoch 90] Validation: aeroplane=0.807186 bicycle=0.843421 bird=0.774934 boat=0.661253 bottle=0.528223 bus=0.849023 car=0.866927 cat=0.864963 chair=0.581414 cow=0.787330 diningtable=0.715675 dog=0.842054 horse=0.854947 motorbike=0.823909 person=0.786850 pottedplant=0.507695 sheep=0.795624 sofa=0.754766 train=0.848613 tvmonitor=0.762756 mAP=0.762878 [Epoch 91][Batch 99], Speed: 71.127873 samples/sec, CrossEntropy=1.885233, SmoothL1=0.804430, accuracy=0.840694 [Epoch 91][Batch 199], Speed: 69.796773 samples/sec, CrossEntropy=1.899566, SmoothL1=0.816352, accuracy=0.839896 [Epoch 91][Batch 299], Speed: 71.870192 samples/sec, CrossEntropy=1.910178, SmoothL1=0.812738, accuracy=0.839259 [Epoch 91][Batch 399], Speed: 71.793305 samples/sec, CrossEntropy=1.913387, SmoothL1=0.813717, accuracy=0.839440 [Epoch 91][Batch 499], Speed: 72.102116 samples/sec, CrossEntropy=1.916287, SmoothL1=0.811749, accuracy=0.839302 [Epoch 91] Training cost: 241.501819, CrossEntropy=1.918278, SmoothL1=0.812976, accuracy=0.839141 [Epoch 91] Validation: aeroplane=0.813057 bicycle=0.858514 bird=0.799604 boat=0.663236 bottle=0.544391 bus=0.833889 car=0.869412 cat=0.856494 chair=0.605528 cow=0.763102 diningtable=0.693958 dog=0.831871 horse=0.837627 motorbike=0.833320 person=0.794482 pottedplant=0.518050 sheep=0.771393 sofa=0.751611 train=0.846657 tvmonitor=0.763806 mAP=0.762500 [Epoch 92][Batch 99], Speed: 72.085542 samples/sec, CrossEntropy=1.913770, SmoothL1=0.815169, accuracy=0.838032 [Epoch 92][Batch 199], Speed: 72.125170 samples/sec, CrossEntropy=1.911079, SmoothL1=0.811361, accuracy=0.839062 [Epoch 92][Batch 299], Speed: 68.019544 samples/sec, CrossEntropy=1.910469, SmoothL1=0.808070, accuracy=0.839512 [Epoch 92][Batch 399], Speed: 71.164229 samples/sec, CrossEntropy=1.917881, SmoothL1=0.811850, accuracy=0.838835 [Epoch 92][Batch 499], Speed: 76.925302 samples/sec, CrossEntropy=1.917455, SmoothL1=0.810597, accuracy=0.838639 [Epoch 92] Training cost: 240.679992, CrossEntropy=1.918194, SmoothL1=0.809981, accuracy=0.838469 [Epoch 92] Validation: aeroplane=0.795939 bicycle=0.841855 bird=0.790824 boat=0.688099 bottle=0.515095 bus=0.853147 car=0.869023 cat=0.874297 chair=0.607119 cow=0.778604 diningtable=0.670324 dog=0.857193 horse=0.849356 motorbike=0.821920 person=0.794459 pottedplant=0.508692 sheep=0.796794 sofa=0.775890 train=0.850553 tvmonitor=0.753754 mAP=0.764647 [Epoch 93][Batch 99], Speed: 71.271550 samples/sec, CrossEntropy=1.881476, SmoothL1=0.812433, accuracy=0.841974 [Epoch 93][Batch 199], Speed: 72.577507 samples/sec, CrossEntropy=1.882524, SmoothL1=0.814700, accuracy=0.841591 [Epoch 93][Batch 299], Speed: 72.880845 samples/sec, CrossEntropy=1.892668, SmoothL1=0.806904, accuracy=0.840469 [Epoch 93][Batch 399], Speed: 72.675911 samples/sec, CrossEntropy=1.900844, SmoothL1=0.806990, accuracy=0.839829 [Epoch 93][Batch 499], Speed: 75.517130 samples/sec, CrossEntropy=1.904476, SmoothL1=0.807876, accuracy=0.839510 [Epoch 93] Training cost: 241.062072, CrossEntropy=1.907831, SmoothL1=0.808114, accuracy=0.839339 [Epoch 93] Validation: aeroplane=0.823285 bicycle=0.850047 bird=0.784219 boat=0.700326 bottle=0.505345 bus=0.854806 car=0.869520 cat=0.865144 chair=0.605441 cow=0.781177 diningtable=0.679295 dog=0.839389 horse=0.848747 motorbike=0.828208 person=0.795713 pottedplant=0.507022 sheep=0.780983 sofa=0.793801 train=0.848767 tvmonitor=0.763694 mAP=0.766246 [Epoch 94][Batch 99], Speed: 70.248295 samples/sec, CrossEntropy=1.894928, SmoothL1=0.783880, accuracy=0.840044 [Epoch 94][Batch 199], Speed: 68.427531 samples/sec, CrossEntropy=1.903405, SmoothL1=0.802915, accuracy=0.839127 [Epoch 94][Batch 299], Speed: 69.043639 samples/sec, CrossEntropy=1.915866, SmoothL1=0.809204, accuracy=0.838203 [Epoch 94][Batch 399], Speed: 69.711762 samples/sec, CrossEntropy=1.915296, SmoothL1=0.809122, accuracy=0.838277 [Epoch 94][Batch 499], Speed: 76.200455 samples/sec, CrossEntropy=1.918766, SmoothL1=0.808642, accuracy=0.838219 [Epoch 94] Training cost: 241.041033, CrossEntropy=1.918698, SmoothL1=0.807205, accuracy=0.838229 [Epoch 94] Validation: aeroplane=0.814930 bicycle=0.851206 bird=0.754758 boat=0.662781 bottle=0.527625 bus=0.821142 car=0.856527 cat=0.860044 chair=0.582800 cow=0.764076 diningtable=0.718588 dog=0.846542 horse=0.845543 motorbike=0.835868 person=0.791088 pottedplant=0.504150 sheep=0.782809 sofa=0.768155 train=0.846814 tvmonitor=0.771805 mAP=0.760363 [Epoch 95][Batch 99], Speed: 71.674149 samples/sec, CrossEntropy=1.879837, SmoothL1=0.780714, accuracy=0.841372 [Epoch 95][Batch 199], Speed: 70.958317 samples/sec, CrossEntropy=1.868937, SmoothL1=0.782578, accuracy=0.841533 [Epoch 95][Batch 299], Speed: 73.854920 samples/sec, CrossEntropy=1.884707, SmoothL1=0.791023, accuracy=0.841112 [Epoch 95][Batch 399], Speed: 70.659839 samples/sec, CrossEntropy=1.896128, SmoothL1=0.793767, accuracy=0.840199 [Epoch 95][Batch 499], Speed: 77.423716 samples/sec, CrossEntropy=1.906679, SmoothL1=0.795661, accuracy=0.839496 [Epoch 95] Training cost: 240.563290, CrossEntropy=1.909364, SmoothL1=0.797599, accuracy=0.839289 [Epoch 95] Validation: aeroplane=0.795257 bicycle=0.836036 bird=0.805294 boat=0.674622 bottle=0.524835 bus=0.827214 car=0.863220 cat=0.847206 chair=0.594666 cow=0.826836 diningtable=0.739253 dog=0.840640 horse=0.862278 motorbike=0.839010 person=0.795050 pottedplant=0.508110 sheep=0.803272 sofa=0.792687 train=0.809227 tvmonitor=0.758054 mAP=0.767138 [Epoch 96][Batch 99], Speed: 72.958057 samples/sec, CrossEntropy=1.869401, SmoothL1=0.773461, accuracy=0.843151 [Epoch 96][Batch 199], Speed: 70.746844 samples/sec, CrossEntropy=1.877799, SmoothL1=0.794429, accuracy=0.842100 [Epoch 96][Batch 299], Speed: 71.917213 samples/sec, CrossEntropy=1.881121, SmoothL1=0.795430, accuracy=0.841399 [Epoch 96][Batch 399], Speed: 69.868240 samples/sec, CrossEntropy=1.886181, SmoothL1=0.800903, accuracy=0.840583 [Epoch 96][Batch 499], Speed: 72.262168 samples/sec, CrossEntropy=1.886997, SmoothL1=0.796681, accuracy=0.840249 [Epoch 96] Training cost: 241.207568, CrossEntropy=1.889219, SmoothL1=0.795634, accuracy=0.840126 [Epoch 96] Validation: aeroplane=0.799007 bicycle=0.851805 bird=0.788081 boat=0.672627 bottle=0.532520 bus=0.834081 car=0.856280 cat=0.869806 chair=0.603088 cow=0.785620 diningtable=0.748543 dog=0.845939 horse=0.855935 motorbike=0.829141 person=0.796219 pottedplant=0.510500 sheep=0.789644 sofa=0.768453 train=0.838242 tvmonitor=0.771066 mAP=0.767330 [Epoch 97][Batch 99], Speed: 71.545013 samples/sec, CrossEntropy=1.850734, SmoothL1=0.776042, accuracy=0.844472 [Epoch 97][Batch 199], Speed: 73.172285 samples/sec, CrossEntropy=1.863334, SmoothL1=0.781592, accuracy=0.842884 [Epoch 97][Batch 299], Speed: 72.888800 samples/sec, CrossEntropy=1.863098, SmoothL1=0.785904, accuracy=0.842635 [Epoch 97][Batch 399], Speed: 68.141964 samples/sec, CrossEntropy=1.882850, SmoothL1=0.790785, accuracy=0.841114 [Epoch 97][Batch 499], Speed: 73.379510 samples/sec, CrossEntropy=1.884386, SmoothL1=0.792022, accuracy=0.840937 [Epoch 97] Training cost: 240.528794, CrossEntropy=1.883420, SmoothL1=0.793089, accuracy=0.841032 [Epoch 97] Validation: aeroplane=0.830348 bicycle=0.846307 bird=0.783067 boat=0.669809 bottle=0.521203 bus=0.846928 car=0.862943 cat=0.881334 chair=0.588117 cow=0.809977 diningtable=0.745010 dog=0.839812 horse=0.859765 motorbike=0.845073 person=0.791317 pottedplant=0.525982 sheep=0.769981 sofa=0.794988 train=0.854714 tvmonitor=0.770504 mAP=0.771859 [Epoch 98][Batch 99], Speed: 70.300912 samples/sec, CrossEntropy=1.860202, SmoothL1=0.787129, accuracy=0.842925 [Epoch 98][Batch 199], Speed: 72.593994 samples/sec, CrossEntropy=1.880173, SmoothL1=0.798578, accuracy=0.841322 [Epoch 98][Batch 299], Speed: 71.693904 samples/sec, CrossEntropy=1.879476, SmoothL1=0.800376, accuracy=0.841544 [Epoch 98][Batch 399], Speed: 72.298875 samples/sec, CrossEntropy=1.886305, SmoothL1=0.794437, accuracy=0.840884 [Epoch 98][Batch 499], Speed: 71.147932 samples/sec, CrossEntropy=1.895020, SmoothL1=0.800051, accuracy=0.840154 [Epoch 98] Training cost: 240.662151, CrossEntropy=1.899012, SmoothL1=0.800930, accuracy=0.839909 [Epoch 98] Validation: aeroplane=0.832644 bicycle=0.848770 bird=0.785620 boat=0.653922 bottle=0.541847 bus=0.846306 car=0.869054 cat=0.851634 chair=0.583327 cow=0.793669 diningtable=0.713765 dog=0.811864 horse=0.830836 motorbike=0.837961 person=0.797615 pottedplant=0.524807 sheep=0.738023 sofa=0.796590 train=0.859701 tvmonitor=0.776386 mAP=0.764717 [Epoch 99][Batch 99], Speed: 68.458733 samples/sec, CrossEntropy=1.862507, SmoothL1=0.800194, accuracy=0.842251 [Epoch 99][Batch 199], Speed: 73.474029 samples/sec, CrossEntropy=1.860573, SmoothL1=0.785320, accuracy=0.842906 [Epoch 99][Batch 299], Speed: 70.944177 samples/sec, CrossEntropy=1.878387, SmoothL1=0.789513, accuracy=0.841715 [Epoch 99][Batch 399], Speed: 69.838320 samples/sec, CrossEntropy=1.882282, SmoothL1=0.793160, accuracy=0.841267 [Epoch 99][Batch 499], Speed: 73.897535 samples/sec, CrossEntropy=1.879868, SmoothL1=0.790050, accuracy=0.840995 [Epoch 99] Training cost: 240.942494, CrossEntropy=1.879145, SmoothL1=0.788225, accuracy=0.841074 [Epoch 99] Validation: aeroplane=0.835760 bicycle=0.857843 bird=0.786526 boat=0.698322 bottle=0.545820 bus=0.849743 car=0.862950 cat=0.875575 chair=0.621699 cow=0.812631 diningtable=0.772020 dog=0.845438 horse=0.870551 motorbike=0.855257 person=0.794274 pottedplant=0.519507 sheep=0.789133 sofa=0.798245 train=0.821702 tvmonitor=0.756120 mAP=0.778456 [Epoch 100][Batch 99], Speed: 71.668829 samples/sec, CrossEntropy=1.844165, SmoothL1=0.792083, accuracy=0.843418 [Epoch 100][Batch 199], Speed: 73.201578 samples/sec, CrossEntropy=1.840635, SmoothL1=0.782817, accuracy=0.843370 [Epoch 100][Batch 299], Speed: 71.879892 samples/sec, CrossEntropy=1.864822, SmoothL1=0.790835, accuracy=0.841920 [Epoch 100][Batch 399], Speed: 65.093441 samples/sec, CrossEntropy=1.862179, SmoothL1=0.789138, accuracy=0.842300 [Epoch 100][Batch 499], Speed: 77.685154 samples/sec, CrossEntropy=1.869389, SmoothL1=0.788349, accuracy=0.841912 [Epoch 100] Training cost: 240.808847, CrossEntropy=1.874692, SmoothL1=0.790382, accuracy=0.841566 [Epoch 100] Validation: aeroplane=0.833757 bicycle=0.854480 bird=0.778343 boat=0.678286 bottle=0.518850 bus=0.855225 car=0.866547 cat=0.887327 chair=0.574913 cow=0.812560 diningtable=0.756857 dog=0.833998 horse=0.848365 motorbike=0.830485 person=0.790063 pottedplant=0.530075 sheep=0.788295 sofa=0.801321 train=0.848134 tvmonitor=0.744729 mAP=0.771630 [Epoch 101][Batch 99], Speed: 72.902578 samples/sec, CrossEntropy=1.822583, SmoothL1=0.777050, accuracy=0.844383 [Epoch 101][Batch 199], Speed: 70.794720 samples/sec, CrossEntropy=1.846496, SmoothL1=0.786175, accuracy=0.842743 [Epoch 101][Batch 299], Speed: 72.609427 samples/sec, CrossEntropy=1.863457, SmoothL1=0.799126, accuracy=0.842016 [Epoch 101][Batch 399], Speed: 57.974490 samples/sec, CrossEntropy=1.872861, SmoothL1=0.796210, accuracy=0.841431 [Epoch 101][Batch 499], Speed: 75.139218 samples/sec, CrossEntropy=1.881167, SmoothL1=0.798533, accuracy=0.841034 [Epoch 101] Training cost: 240.229971, CrossEntropy=1.883005, SmoothL1=0.797870, accuracy=0.840932 [Epoch 101] Validation: aeroplane=0.831184 bicycle=0.843777 bird=0.761581 boat=0.665263 bottle=0.488986 bus=0.856692 car=0.864860 cat=0.864185 chair=0.564821 cow=0.780012 diningtable=0.740443 dog=0.820248 horse=0.854069 motorbike=0.826110 person=0.789544 pottedplant=0.503893 sheep=0.784937 sofa=0.788763 train=0.851108 tvmonitor=0.725067 mAP=0.760277 [Epoch 102][Batch 99], Speed: 72.695396 samples/sec, CrossEntropy=1.854242, SmoothL1=0.785118, accuracy=0.841750 [Epoch 102][Batch 199], Speed: 73.942765 samples/sec, CrossEntropy=1.860433, SmoothL1=0.793033, accuracy=0.842092 [Epoch 102][Batch 299], Speed: 64.178291 samples/sec, CrossEntropy=1.864554, SmoothL1=0.790105, accuracy=0.841863 [Epoch 102][Batch 399], Speed: 73.170131 samples/sec, CrossEntropy=1.867397, SmoothL1=0.787126, accuracy=0.841483 [Epoch 102][Batch 499], Speed: 73.624160 samples/sec, CrossEntropy=1.872832, SmoothL1=0.787058, accuracy=0.841254 [Epoch 102] Training cost: 240.354284, CrossEntropy=1.872287, SmoothL1=0.786213, accuracy=0.841178 [Epoch 102] Validation: aeroplane=0.826212 bicycle=0.853577 bird=0.771952 boat=0.657438 bottle=0.467593 bus=0.842190 car=0.864016 cat=0.857498 chair=0.583369 cow=0.795378 diningtable=0.710179 dog=0.840736 horse=0.860255 motorbike=0.835181 person=0.787062 pottedplant=0.497002 sheep=0.780705 sofa=0.770422 train=0.860815 tvmonitor=0.760196 mAP=0.761089 [Epoch 103][Batch 99], Speed: 72.043985 samples/sec, CrossEntropy=1.861387, SmoothL1=0.807955, accuracy=0.843157 [Epoch 103][Batch 199], Speed: 72.204789 samples/sec, CrossEntropy=1.855092, SmoothL1=0.791185, accuracy=0.843408 [Epoch 103][Batch 299], Speed: 72.132030 samples/sec, CrossEntropy=1.866505, SmoothL1=0.798153, accuracy=0.842810 [Epoch 103][Batch 399], Speed: 73.064855 samples/sec, CrossEntropy=1.871060, SmoothL1=0.793101, accuracy=0.842477 [Epoch 103][Batch 499], Speed: 77.332980 samples/sec, CrossEntropy=1.869964, SmoothL1=0.788094, accuracy=0.842406 [Epoch 103] Training cost: 240.878313, CrossEntropy=1.871411, SmoothL1=0.787945, accuracy=0.842268 [Epoch 103] Validation: aeroplane=0.813442 bicycle=0.837963 bird=0.778599 boat=0.691036 bottle=0.510508 bus=0.838602 car=0.865660 cat=0.864971 chair=0.601369 cow=0.763488 diningtable=0.723333 dog=0.843645 horse=0.845895 motorbike=0.848218 person=0.793910 pottedplant=0.528396 sheep=0.803188 sofa=0.784369 train=0.855492 tvmonitor=0.754578 mAP=0.767333 [Epoch 104][Batch 99], Speed: 67.848652 samples/sec, CrossEntropy=1.833690, SmoothL1=0.778017, accuracy=0.843476 [Epoch 104][Batch 199], Speed: 69.527302 samples/sec, CrossEntropy=1.869033, SmoothL1=0.791799, accuracy=0.840928 [Epoch 104][Batch 299], Speed: 70.128858 samples/sec, CrossEntropy=1.864704, SmoothL1=0.790341, accuracy=0.841427 [Epoch 104][Batch 399], Speed: 73.868374 samples/sec, CrossEntropy=1.863781, SmoothL1=0.789709, accuracy=0.841617 [Epoch 104][Batch 499], Speed: 72.726948 samples/sec, CrossEntropy=1.864610, SmoothL1=0.788756, accuracy=0.841543 [Epoch 104] Training cost: 240.438840, CrossEntropy=1.863369, SmoothL1=0.787542, accuracy=0.841692 [Epoch 104] Validation: aeroplane=0.810875 bicycle=0.840523 bird=0.792906 boat=0.674023 bottle=0.556204 bus=0.822397 car=0.860920 cat=0.864347 chair=0.611184 cow=0.803820 diningtable=0.724635 dog=0.823491 horse=0.847894 motorbike=0.826352 person=0.795417 pottedplant=0.468879 sheep=0.799092 sofa=0.779708 train=0.862359 tvmonitor=0.757311 mAP=0.766117 [Epoch 105][Batch 99], Speed: 63.574925 samples/sec, CrossEntropy=1.810300, SmoothL1=0.747446, accuracy=0.845679 [Epoch 105][Batch 199], Speed: 69.035152 samples/sec, CrossEntropy=1.835996, SmoothL1=0.781322, accuracy=0.844349 [Epoch 105][Batch 299], Speed: 67.295339 samples/sec, CrossEntropy=1.853042, SmoothL1=0.782862, accuracy=0.843617 [Epoch 105][Batch 399], Speed: 72.767442 samples/sec, CrossEntropy=1.849642, SmoothL1=0.780802, accuracy=0.843559 [Epoch 105][Batch 499], Speed: 76.067656 samples/sec, CrossEntropy=1.851243, SmoothL1=0.778242, accuracy=0.843297 [Epoch 105] Training cost: 241.391070, CrossEntropy=1.852593, SmoothL1=0.777759, accuracy=0.843165 [Epoch 105] Validation: aeroplane=0.839378 bicycle=0.872072 bird=0.776260 boat=0.656215 bottle=0.527209 bus=0.846533 car=0.863759 cat=0.872003 chair=0.625734 cow=0.808263 diningtable=0.762415 dog=0.842471 horse=0.868187 motorbike=0.820156 person=0.795399 pottedplant=0.523824 sheep=0.773516 sofa=0.777687 train=0.861612 tvmonitor=0.762227 mAP=0.773746 [Epoch 106][Batch 99], Speed: 71.504419 samples/sec, CrossEntropy=1.858191, SmoothL1=0.781477, accuracy=0.843810 [Epoch 106][Batch 199], Speed: 70.478808 samples/sec, CrossEntropy=1.868757, SmoothL1=0.793918, accuracy=0.842507 [Epoch 106][Batch 299], Speed: 71.053619 samples/sec, CrossEntropy=1.865336, SmoothL1=0.791128, accuracy=0.842750 [Epoch 106][Batch 399], Speed: 71.326697 samples/sec, CrossEntropy=1.861592, SmoothL1=0.785659, accuracy=0.843063 [Epoch 106][Batch 499], Speed: 78.022313 samples/sec, CrossEntropy=1.853892, SmoothL1=0.779103, accuracy=0.843408 [Epoch 106] Training cost: 240.739419, CrossEntropy=1.857081, SmoothL1=0.779939, accuracy=0.843139 [Epoch 106] Validation: aeroplane=0.807240 bicycle=0.848026 bird=0.781875 boat=0.691242 bottle=0.560569 bus=0.850391 car=0.866781 cat=0.866147 chair=0.611087 cow=0.799305 diningtable=0.714934 dog=0.832666 horse=0.859320 motorbike=0.830192 person=0.779961 pottedplant=0.478355 sheep=0.781071 sofa=0.781260 train=0.839928 tvmonitor=0.762443 mAP=0.767140 [Epoch 107][Batch 99], Speed: 68.954819 samples/sec, CrossEntropy=1.826324, SmoothL1=0.769035, accuracy=0.844820 [Epoch 107][Batch 199], Speed: 73.686529 samples/sec, CrossEntropy=1.832608, SmoothL1=0.777408, accuracy=0.843890 [Epoch 107][Batch 299], Speed: 72.582766 samples/sec, CrossEntropy=1.842048, SmoothL1=0.774924, accuracy=0.843119 [Epoch 107][Batch 399], Speed: 68.091181 samples/sec, CrossEntropy=1.853856, SmoothL1=0.777892, accuracy=0.842352 [Epoch 107][Batch 499], Speed: 74.218926 samples/sec, CrossEntropy=1.855286, SmoothL1=0.781366, accuracy=0.842288 [Epoch 107] Training cost: 240.594017, CrossEntropy=1.854749, SmoothL1=0.779990, accuracy=0.842317 [Epoch 107] Validation: aeroplane=0.823750 bicycle=0.837536 bird=0.766831 boat=0.679545 bottle=0.557451 bus=0.833015 car=0.862794 cat=0.865444 chair=0.626438 cow=0.792408 diningtable=0.756202 dog=0.835633 horse=0.843292 motorbike=0.856384 person=0.801652 pottedplant=0.500797 sheep=0.801175 sofa=0.812889 train=0.850833 tvmonitor=0.760080 mAP=0.773207 [Epoch 108][Batch 99], Speed: 72.531775 samples/sec, CrossEntropy=1.807372, SmoothL1=0.739925, accuracy=0.845516 [Epoch 108][Batch 199], Speed: 69.125212 samples/sec, CrossEntropy=1.834489, SmoothL1=0.765936, accuracy=0.843953 [Epoch 108][Batch 299], Speed: 71.617508 samples/sec, CrossEntropy=1.835197, SmoothL1=0.763059, accuracy=0.844153 [Epoch 108][Batch 399], Speed: 72.907369 samples/sec, CrossEntropy=1.847342, SmoothL1=0.773372, accuracy=0.843163 [Epoch 108][Batch 499], Speed: 77.711422 samples/sec, CrossEntropy=1.849969, SmoothL1=0.776846, accuracy=0.843134 [Epoch 108] Training cost: 240.198115, CrossEntropy=1.851579, SmoothL1=0.778165, accuracy=0.843126 [Epoch 108] Validation: aeroplane=0.840844 bicycle=0.832904 bird=0.781274 boat=0.672656 bottle=0.539655 bus=0.847337 car=0.857917 cat=0.871047 chair=0.590788 cow=0.806936 diningtable=0.744940 dog=0.834465 horse=0.844816 motorbike=0.827267 person=0.793532 pottedplant=0.520879 sheep=0.797493 sofa=0.760738 train=0.832731 tvmonitor=0.754661 mAP=0.767644 [Epoch 109][Batch 99], Speed: 71.503772 samples/sec, CrossEntropy=1.825412, SmoothL1=0.760227, accuracy=0.844579 [Epoch 109][Batch 199], Speed: 70.942115 samples/sec, CrossEntropy=1.823124, SmoothL1=0.773997, accuracy=0.845618 [Epoch 109][Batch 299], Speed: 70.606498 samples/sec, CrossEntropy=1.833707, SmoothL1=0.779309, accuracy=0.844897 [Epoch 109][Batch 399], Speed: 64.064182 samples/sec, CrossEntropy=1.839503, SmoothL1=0.780762, accuracy=0.844289 [Epoch 109][Batch 499], Speed: 68.634015 samples/sec, CrossEntropy=1.837439, SmoothL1=0.775993, accuracy=0.844624 [Epoch 109] Training cost: 240.651689, CrossEntropy=1.837510, SmoothL1=0.774112, accuracy=0.844703 [Epoch 109] Validation: aeroplane=0.815414 bicycle=0.851921 bird=0.792973 boat=0.656901 bottle=0.561568 bus=0.850099 car=0.860355 cat=0.875309 chair=0.544927 cow=0.804312 diningtable=0.710864 dog=0.844179 horse=0.848239 motorbike=0.848588 person=0.793023 pottedplant=0.515692 sheep=0.805415 sofa=0.784900 train=0.851653 tvmonitor=0.770588 mAP=0.769346 [Epoch 110][Batch 99], Speed: 72.531265 samples/sec, CrossEntropy=1.822818, SmoothL1=0.762852, accuracy=0.844650 [Epoch 110][Batch 199], Speed: 72.352503 samples/sec, CrossEntropy=1.829307, SmoothL1=0.773023, accuracy=0.844785 [Epoch 110][Batch 299], Speed: 72.016771 samples/sec, CrossEntropy=1.845256, SmoothL1=0.773495, accuracy=0.844064 [Epoch 110][Batch 399], Speed: 73.468117 samples/sec, CrossEntropy=1.847995, SmoothL1=0.768925, accuracy=0.843681 [Epoch 110][Batch 499], Speed: 75.473476 samples/sec, CrossEntropy=1.846499, SmoothL1=0.770523, accuracy=0.843796 [Epoch 110] Training cost: 240.737479, CrossEntropy=1.846566, SmoothL1=0.770586, accuracy=0.843792 [Epoch 110] Validation: aeroplane=0.799507 bicycle=0.841163 bird=0.756888 boat=0.707279 bottle=0.539888 bus=0.847102 car=0.865911 cat=0.854522 chair=0.601703 cow=0.793663 diningtable=0.727764 dog=0.819897 horse=0.841121 motorbike=0.855030 person=0.782342 pottedplant=0.506117 sheep=0.789784 sofa=0.788752 train=0.845548 tvmonitor=0.763201 mAP=0.766359 [Epoch 111][Batch 99], Speed: 71.489033 samples/sec, CrossEntropy=1.804397, SmoothL1=0.770448, accuracy=0.846069 [Epoch 111][Batch 199], Speed: 69.698838 samples/sec, CrossEntropy=1.821953, SmoothL1=0.778527, accuracy=0.844623 [Epoch 111][Batch 299], Speed: 72.259250 samples/sec, CrossEntropy=1.822326, SmoothL1=0.777444, accuracy=0.844727 [Epoch 111][Batch 399], Speed: 71.175324 samples/sec, CrossEntropy=1.834214, SmoothL1=0.778625, accuracy=0.844469 [Epoch 111][Batch 499], Speed: 75.042130 samples/sec, CrossEntropy=1.840530, SmoothL1=0.778388, accuracy=0.844164 [Epoch 111] Training cost: 241.085530, CrossEntropy=1.842920, SmoothL1=0.778996, accuracy=0.843932 [Epoch 111] Validation: aeroplane=0.793837 bicycle=0.854976 bird=0.780277 boat=0.698572 bottle=0.552603 bus=0.855259 car=0.869041 cat=0.873162 chair=0.598102 cow=0.789915 diningtable=0.744807 dog=0.835138 horse=0.851495 motorbike=0.827494 person=0.796647 pottedplant=0.517078 sheep=0.777037 sofa=0.799408 train=0.854795 tvmonitor=0.756642 mAP=0.771314 [Epoch 112][Batch 99], Speed: 73.773852 samples/sec, CrossEntropy=1.770933, SmoothL1=0.726117, accuracy=0.849627 [Epoch 112][Batch 199], Speed: 66.960847 samples/sec, CrossEntropy=1.797222, SmoothL1=0.754851, accuracy=0.847422 [Epoch 112][Batch 299], Speed: 73.193554 samples/sec, CrossEntropy=1.816073, SmoothL1=0.761323, accuracy=0.846691 [Epoch 112][Batch 399], Speed: 71.427933 samples/sec, CrossEntropy=1.832661, SmoothL1=0.766995, accuracy=0.845512 [Epoch 112][Batch 499], Speed: 74.295917 samples/sec, CrossEntropy=1.835899, SmoothL1=0.769599, accuracy=0.845070 [Epoch 112] Training cost: 240.669293, CrossEntropy=1.834815, SmoothL1=0.769026, accuracy=0.845178 [Epoch 112] Validation: aeroplane=0.819484 bicycle=0.839635 bird=0.777056 boat=0.651954 bottle=0.563958 bus=0.855233 car=0.869049 cat=0.862097 chair=0.580509 cow=0.812074 diningtable=0.736050 dog=0.831167 horse=0.852918 motorbike=0.846604 person=0.793087 pottedplant=0.494524 sheep=0.806433 sofa=0.766202 train=0.837807 tvmonitor=0.762694 mAP=0.767927 [Epoch 113][Batch 99], Speed: 70.748895 samples/sec, CrossEntropy=1.782095, SmoothL1=0.733023, accuracy=0.847693 [Epoch 113][Batch 199], Speed: 71.250438 samples/sec, CrossEntropy=1.803439, SmoothL1=0.751964, accuracy=0.846812 [Epoch 113][Batch 299], Speed: 71.642051 samples/sec, CrossEntropy=1.803075, SmoothL1=0.758258, accuracy=0.846578 [Epoch 113][Batch 399], Speed: 67.790155 samples/sec, CrossEntropy=1.807435, SmoothL1=0.757949, accuracy=0.846389 [Epoch 113][Batch 499], Speed: 72.842991 samples/sec, CrossEntropy=1.814636, SmoothL1=0.761246, accuracy=0.845899 [Epoch 113] Training cost: 240.964418, CrossEntropy=1.817211, SmoothL1=0.762140, accuracy=0.845748 [Epoch 113] Validation: aeroplane=0.810558 bicycle=0.841810 bird=0.790487 boat=0.673954 bottle=0.545622 bus=0.839392 car=0.863185 cat=0.875501 chair=0.601246 cow=0.792567 diningtable=0.749348 dog=0.832928 horse=0.840984 motorbike=0.837600 person=0.795088 pottedplant=0.481187 sheep=0.801145 sofa=0.775964 train=0.865427 tvmonitor=0.761982 mAP=0.768799 [Epoch 114][Batch 99], Speed: 69.184253 samples/sec, CrossEntropy=1.824988, SmoothL1=0.762545, accuracy=0.845825 [Epoch 114][Batch 199], Speed: 69.499796 samples/sec, CrossEntropy=1.816132, SmoothL1=0.770682, accuracy=0.846076 [Epoch 114][Batch 299], Speed: 71.765590 samples/sec, CrossEntropy=1.825990, SmoothL1=0.767900, accuracy=0.845363 [Epoch 114][Batch 399], Speed: 66.320152 samples/sec, CrossEntropy=1.826744, SmoothL1=0.768266, accuracy=0.845427 [Epoch 114][Batch 499], Speed: 77.085235 samples/sec, CrossEntropy=1.836097, SmoothL1=0.771577, accuracy=0.844688 [Epoch 114] Training cost: 241.408146, CrossEntropy=1.835260, SmoothL1=0.770047, accuracy=0.844695 [Epoch 114] Validation: aeroplane=0.821482 bicycle=0.847988 bird=0.791303 boat=0.677707 bottle=0.548421 bus=0.845093 car=0.873403 cat=0.879809 chair=0.631316 cow=0.830190 diningtable=0.726487 dog=0.845905 horse=0.835267 motorbike=0.839501 person=0.800934 pottedplant=0.509452 sheep=0.783209 sofa=0.798197 train=0.854665 tvmonitor=0.772583 mAP=0.775646 [Epoch 115][Batch 99], Speed: 70.667614 samples/sec, CrossEntropy=1.801441, SmoothL1=0.743456, accuracy=0.847873 [Epoch 115][Batch 199], Speed: 72.340570 samples/sec, CrossEntropy=1.826944, SmoothL1=0.763429, accuracy=0.845449 [Epoch 115][Batch 299], Speed: 71.286162 samples/sec, CrossEntropy=1.819917, SmoothL1=0.763329, accuracy=0.845657 [Epoch 115][Batch 399], Speed: 70.219482 samples/sec, CrossEntropy=1.826717, SmoothL1=0.765823, accuracy=0.845391 [Epoch 115][Batch 499], Speed: 76.965223 samples/sec, CrossEntropy=1.833896, SmoothL1=0.764670, accuracy=0.844999 [Epoch 115] Training cost: 240.409998, CrossEntropy=1.835620, SmoothL1=0.764957, accuracy=0.844728 [Epoch 115] Validation: aeroplane=0.786809 bicycle=0.844310 bird=0.774524 boat=0.665850 bottle=0.539151 bus=0.828755 car=0.866004 cat=0.873932 chair=0.570882 cow=0.816974 diningtable=0.703417 dog=0.834217 horse=0.838860 motorbike=0.845973 person=0.786166 pottedplant=0.499682 sheep=0.775333 sofa=0.778278 train=0.855101 tvmonitor=0.761481 mAP=0.762285 [Epoch 116][Batch 99], Speed: 68.424461 samples/sec, CrossEntropy=1.831276, SmoothL1=0.775824, accuracy=0.845380 [Epoch 116][Batch 199], Speed: 72.379503 samples/sec, CrossEntropy=1.819402, SmoothL1=0.775493, accuracy=0.845739 [Epoch 116][Batch 299], Speed: 68.607983 samples/sec, CrossEntropy=1.812758, SmoothL1=0.761361, accuracy=0.846225 [Epoch 116][Batch 399], Speed: 72.688585 samples/sec, CrossEntropy=1.814688, SmoothL1=0.760196, accuracy=0.845909 [Epoch 116][Batch 499], Speed: 74.293860 samples/sec, CrossEntropy=1.812393, SmoothL1=0.757535, accuracy=0.846621 [Epoch 116] Training cost: 240.473516, CrossEntropy=1.814598, SmoothL1=0.758322, accuracy=0.846547 [Epoch 116] Validation: aeroplane=0.827589 bicycle=0.852195 bird=0.798302 boat=0.663278 bottle=0.537161 bus=0.854034 car=0.858328 cat=0.868308 chair=0.588799 cow=0.804499 diningtable=0.740377 dog=0.846263 horse=0.859159 motorbike=0.824379 person=0.794300 pottedplant=0.509173 sheep=0.797492 sofa=0.788733 train=0.856022 tvmonitor=0.774168 mAP=0.772128 [Epoch 117][Batch 99], Speed: 70.889283 samples/sec, CrossEntropy=1.777111, SmoothL1=0.751678, accuracy=0.847573 [Epoch 117][Batch 199], Speed: 69.017402 samples/sec, CrossEntropy=1.797056, SmoothL1=0.760670, accuracy=0.847245 [Epoch 117][Batch 299], Speed: 71.752929 samples/sec, CrossEntropy=1.799649, SmoothL1=0.756051, accuracy=0.847318 [Epoch 117][Batch 399], Speed: 65.725700 samples/sec, CrossEntropy=1.802777, SmoothL1=0.757976, accuracy=0.847209 [Epoch 117][Batch 499], Speed: 74.498976 samples/sec, CrossEntropy=1.815365, SmoothL1=0.763194, accuracy=0.846638 [Epoch 117] Training cost: 240.453173, CrossEntropy=1.814840, SmoothL1=0.762154, accuracy=0.846554 [Epoch 117] Validation: aeroplane=0.826794 bicycle=0.861261 bird=0.772736 boat=0.663762 bottle=0.498682 bus=0.833199 car=0.864677 cat=0.864918 chair=0.609858 cow=0.824036 diningtable=0.738600 dog=0.842931 horse=0.859469 motorbike=0.836335 person=0.797313 pottedplant=0.495455 sheep=0.801039 sofa=0.774315 train=0.836970 tvmonitor=0.763071 mAP=0.768271 [Epoch 118][Batch 99], Speed: 71.936794 samples/sec, CrossEntropy=1.806326, SmoothL1=0.755074, accuracy=0.846758 [Epoch 118][Batch 199], Speed: 68.372421 samples/sec, CrossEntropy=1.802263, SmoothL1=0.760168, accuracy=0.846925 [Epoch 118][Batch 299], Speed: 72.821966 samples/sec, CrossEntropy=1.804605, SmoothL1=0.758181, accuracy=0.846879 [Epoch 118][Batch 399], Speed: 70.359656 samples/sec, CrossEntropy=1.812100, SmoothL1=0.755082, accuracy=0.846343 [Epoch 118][Batch 499], Speed: 76.073304 samples/sec, CrossEntropy=1.817595, SmoothL1=0.757481, accuracy=0.846041 [Epoch 118] Training cost: 241.006383, CrossEntropy=1.817170, SmoothL1=0.756570, accuracy=0.845959 [Epoch 118] Validation: aeroplane=0.827649 bicycle=0.843095 bird=0.785901 boat=0.653194 bottle=0.569905 bus=0.844298 car=0.864439 cat=0.859491 chair=0.617861 cow=0.806620 diningtable=0.762891 dog=0.843466 horse=0.847847 motorbike=0.842395 person=0.792924 pottedplant=0.473634 sheep=0.794584 sofa=0.785490 train=0.866688 tvmonitor=0.745374 mAP=0.771387 [Epoch 119][Batch 99], Speed: 70.644070 samples/sec, CrossEntropy=1.756936, SmoothL1=0.724794, accuracy=0.851532 [Epoch 119][Batch 199], Speed: 70.083707 samples/sec, CrossEntropy=1.778042, SmoothL1=0.742006, accuracy=0.849026 [Epoch 119][Batch 299], Speed: 71.962327 samples/sec, CrossEntropy=1.789334, SmoothL1=0.753235, accuracy=0.847927 [Epoch 119][Batch 399], Speed: 65.685492 samples/sec, CrossEntropy=1.802067, SmoothL1=0.756289, accuracy=0.846912 [Epoch 119][Batch 499], Speed: 75.814276 samples/sec, CrossEntropy=1.800319, SmoothL1=0.751282, accuracy=0.847150 [Epoch 119] Training cost: 240.438508, CrossEntropy=1.802548, SmoothL1=0.751283, accuracy=0.846896 [Epoch 119] Validation: aeroplane=0.839633 bicycle=0.851982 bird=0.788885 boat=0.695143 bottle=0.554430 bus=0.852285 car=0.866343 cat=0.866303 chair=0.604680 cow=0.807515 diningtable=0.747171 dog=0.825069 horse=0.824275 motorbike=0.834797 person=0.800223 pottedplant=0.510684 sheep=0.789306 sofa=0.797259 train=0.847868 tvmonitor=0.773641 mAP=0.773875 [Epoch 120][Batch 99], Speed: 71.724133 samples/sec, CrossEntropy=1.804050, SmoothL1=0.732696, accuracy=0.848330 [Epoch 120][Batch 199], Speed: 71.251876 samples/sec, CrossEntropy=1.805379, SmoothL1=0.744253, accuracy=0.847689 [Epoch 120][Batch 299], Speed: 72.322133 samples/sec, CrossEntropy=1.797684, SmoothL1=0.741749, accuracy=0.847685 [Epoch 120][Batch 399], Speed: 73.627553 samples/sec, CrossEntropy=1.793905, SmoothL1=0.736833, accuracy=0.848103 [Epoch 120][Batch 499], Speed: 72.010125 samples/sec, CrossEntropy=1.800991, SmoothL1=0.749099, accuracy=0.847350 [Epoch 120] Training cost: 240.655155, CrossEntropy=1.803346, SmoothL1=0.752453, accuracy=0.847208 [Epoch 120] Validation: aeroplane=0.820097 bicycle=0.864244 bird=0.786482 boat=0.697783 bottle=0.522606 bus=0.842353 car=0.857386 cat=0.859201 chair=0.614319 cow=0.787672 diningtable=0.694395 dog=0.844383 horse=0.854012 motorbike=0.844950 person=0.793483 pottedplant=0.482609 sheep=0.781217 sofa=0.785974 train=0.862854 tvmonitor=0.779677 mAP=0.768785 [Epoch 121][Batch 99], Speed: 70.262012 samples/sec, CrossEntropy=1.748972, SmoothL1=0.716412, accuracy=0.851409 [Epoch 121][Batch 199], Speed: 70.306804 samples/sec, CrossEntropy=1.762691, SmoothL1=0.740962, accuracy=0.850403 [Epoch 121][Batch 299], Speed: 71.947437 samples/sec, CrossEntropy=1.780139, SmoothL1=0.749600, accuracy=0.848732 [Epoch 121][Batch 399], Speed: 66.833610 samples/sec, CrossEntropy=1.796084, SmoothL1=0.749871, accuracy=0.847584 [Epoch 121][Batch 499], Speed: 76.875778 samples/sec, CrossEntropy=1.800225, SmoothL1=0.749638, accuracy=0.847527 [Epoch 121] Training cost: 240.594052, CrossEntropy=1.799742, SmoothL1=0.749189, accuracy=0.847530 [Epoch 121] Validation: aeroplane=0.787163 bicycle=0.852921 bird=0.787952 boat=0.718034 bottle=0.529664 bus=0.848355 car=0.868244 cat=0.875977 chair=0.569267 cow=0.823044 diningtable=0.713313 dog=0.842315 horse=0.853979 motorbike=0.832615 person=0.799292 pottedplant=0.517917 sheep=0.779888 sofa=0.807584 train=0.859712 tvmonitor=0.727613 mAP=0.769743 [Epoch 122][Batch 99], Speed: 73.614308 samples/sec, CrossEntropy=1.797669, SmoothL1=0.747368, accuracy=0.848134 [Epoch 122][Batch 199], Speed: 72.296772 samples/sec, CrossEntropy=1.798356, SmoothL1=0.755302, accuracy=0.847922 [Epoch 122][Batch 299], Speed: 67.321938 samples/sec, CrossEntropy=1.792491, SmoothL1=0.753804, accuracy=0.848367 [Epoch 122][Batch 399], Speed: 72.175979 samples/sec, CrossEntropy=1.796382, SmoothL1=0.752077, accuracy=0.847762 [Epoch 122][Batch 499], Speed: 75.476872 samples/sec, CrossEntropy=1.807046, SmoothL1=0.753798, accuracy=0.847071 [Epoch 122] Training cost: 240.455097, CrossEntropy=1.810998, SmoothL1=0.753866, accuracy=0.846821 [Epoch 122] Validation: aeroplane=0.803074 bicycle=0.852371 bird=0.794547 boat=0.699500 bottle=0.508331 bus=0.831995 car=0.864589 cat=0.869332 chair=0.599248 cow=0.789488 diningtable=0.706386 dog=0.831042 horse=0.857006 motorbike=0.854881 person=0.785694 pottedplant=0.495117 sheep=0.790877 sofa=0.796982 train=0.849456 tvmonitor=0.764524 mAP=0.767222 [Epoch 123][Batch 99], Speed: 79.661199 samples/sec, CrossEntropy=1.743745, SmoothL1=0.728913, accuracy=0.850429 [Epoch 123][Batch 199], Speed: 72.382470 samples/sec, CrossEntropy=1.755045, SmoothL1=0.739005, accuracy=0.849970 [Epoch 123][Batch 299], Speed: 70.646412 samples/sec, CrossEntropy=1.758003, SmoothL1=0.740202, accuracy=0.850130 [Epoch 123][Batch 399], Speed: 73.533283 samples/sec, CrossEntropy=1.768622, SmoothL1=0.740984, accuracy=0.849356 [Epoch 123][Batch 499], Speed: 76.917190 samples/sec, CrossEntropy=1.773974, SmoothL1=0.739351, accuracy=0.849140 [Epoch 123] Training cost: 241.026820, CrossEntropy=1.776867, SmoothL1=0.740039, accuracy=0.848955 [Epoch 123] Validation: aeroplane=0.812722 bicycle=0.850884 bird=0.783789 boat=0.691616 bottle=0.542473 bus=0.854163 car=0.860160 cat=0.868624 chair=0.606414 cow=0.811824 diningtable=0.726544 dog=0.830311 horse=0.850841 motorbike=0.817091 person=0.806621 pottedplant=0.525349 sheep=0.795244 sofa=0.815738 train=0.841822 tvmonitor=0.754505 mAP=0.772337 [Epoch 124][Batch 99], Speed: 71.827961 samples/sec, CrossEntropy=1.773097, SmoothL1=0.723983, accuracy=0.849427 [Epoch 124][Batch 199], Speed: 73.149355 samples/sec, CrossEntropy=1.772089, SmoothL1=0.737992, accuracy=0.849773 [Epoch 124][Batch 299], Speed: 72.116256 samples/sec, CrossEntropy=1.791773, SmoothL1=0.751637, accuracy=0.848872 [Epoch 124][Batch 399], Speed: 69.794922 samples/sec, CrossEntropy=1.787288, SmoothL1=0.747165, accuracy=0.849133 [Epoch 124][Batch 499], Speed: 75.928876 samples/sec, CrossEntropy=1.797489, SmoothL1=0.747915, accuracy=0.848598 [Epoch 124] Training cost: 239.980803, CrossEntropy=1.800228, SmoothL1=0.747945, accuracy=0.848455 [Epoch 124] Validation: aeroplane=0.838936 bicycle=0.846043 bird=0.773812 boat=0.707189 bottle=0.562200 bus=0.850727 car=0.867122 cat=0.858260 chair=0.613979 cow=0.804358 diningtable=0.743863 dog=0.812120 horse=0.828278 motorbike=0.833107 person=0.782450 pottedplant=0.538715 sheep=0.784499 sofa=0.780015 train=0.836424 tvmonitor=0.764077 mAP=0.771309 [Epoch 125][Batch 99], Speed: 72.425043 samples/sec, CrossEntropy=1.772643, SmoothL1=0.728399, accuracy=0.849068 [Epoch 125][Batch 199], Speed: 72.369200 samples/sec, CrossEntropy=1.782030, SmoothL1=0.743698, accuracy=0.848207 [Epoch 125][Batch 299], Speed: 72.593797 samples/sec, CrossEntropy=1.791253, SmoothL1=0.753683, accuracy=0.847692 [Epoch 125][Batch 399], Speed: 71.852802 samples/sec, CrossEntropy=1.794698, SmoothL1=0.754447, accuracy=0.847563 [Epoch 125][Batch 499], Speed: 76.116533 samples/sec, CrossEntropy=1.796992, SmoothL1=0.753655, accuracy=0.847445 [Epoch 125] Training cost: 240.090830, CrossEntropy=1.794576, SmoothL1=0.750966, accuracy=0.847629 [Epoch 125] Validation: aeroplane=0.814826 bicycle=0.859348 bird=0.777525 boat=0.688896 bottle=0.488712 bus=0.842494 car=0.864228 cat=0.872109 chair=0.595287 cow=0.817886 diningtable=0.739104 dog=0.833622 horse=0.866009 motorbike=0.823700 person=0.792972 pottedplant=0.490545 sheep=0.770570 sofa=0.790368 train=0.819054 tvmonitor=0.761233 mAP=0.765424 [Epoch 126][Batch 99], Speed: 72.576015 samples/sec, CrossEntropy=1.746190, SmoothL1=0.740050, accuracy=0.851798 [Epoch 126][Batch 199], Speed: 68.047891 samples/sec, CrossEntropy=1.768871, SmoothL1=0.742453, accuracy=0.849975 [Epoch 126][Batch 299], Speed: 68.619032 samples/sec, CrossEntropy=1.771869, SmoothL1=0.744150, accuracy=0.849721 [Epoch 126][Batch 399], Speed: 73.455492 samples/sec, CrossEntropy=1.773054, SmoothL1=0.743681, accuracy=0.849575 [Epoch 126][Batch 499], Speed: 75.922219 samples/sec, CrossEntropy=1.783627, SmoothL1=0.746839, accuracy=0.848896 [Epoch 126] Training cost: 240.376538, CrossEntropy=1.784697, SmoothL1=0.745632, accuracy=0.848806 [Epoch 126] Validation: aeroplane=0.838478 bicycle=0.864364 bird=0.789024 boat=0.697126 bottle=0.533348 bus=0.850187 car=0.867538 cat=0.864105 chair=0.627995 cow=0.793982 diningtable=0.732356 dog=0.822773 horse=0.869188 motorbike=0.854983 person=0.803460 pottedplant=0.481055 sheep=0.774864 sofa=0.782866 train=0.792765 tvmonitor=0.756203 mAP=0.769833 [Epoch 127][Batch 99], Speed: 71.004114 samples/sec, CrossEntropy=1.729960, SmoothL1=0.700792, accuracy=0.852706 [Epoch 127][Batch 199], Speed: 69.856349 samples/sec, CrossEntropy=1.756490, SmoothL1=0.720296, accuracy=0.850632 [Epoch 127][Batch 299], Speed: 73.041356 samples/sec, CrossEntropy=1.769236, SmoothL1=0.738503, accuracy=0.849891 [Epoch 127][Batch 399], Speed: 71.845378 samples/sec, CrossEntropy=1.779965, SmoothL1=0.741915, accuracy=0.849573 [Epoch 127][Batch 499], Speed: 77.396571 samples/sec, CrossEntropy=1.780425, SmoothL1=0.740991, accuracy=0.849391 [Epoch 127] Training cost: 241.060866, CrossEntropy=1.780244, SmoothL1=0.741363, accuracy=0.849481 [Epoch 127] Validation: aeroplane=0.834409 bicycle=0.846112 bird=0.786855 boat=0.699345 bottle=0.541202 bus=0.827587 car=0.867697 cat=0.855747 chair=0.624770 cow=0.812218 diningtable=0.720278 dog=0.840888 horse=0.856755 motorbike=0.845390 person=0.794274 pottedplant=0.521385 sheep=0.774138 sofa=0.779108 train=0.826959 tvmonitor=0.766794 mAP=0.771096 [Epoch 128][Batch 99], Speed: 72.292177 samples/sec, CrossEntropy=1.745085, SmoothL1=0.733924, accuracy=0.850069 [Epoch 128][Batch 199], Speed: 71.382840 samples/sec, CrossEntropy=1.760910, SmoothL1=0.743318, accuracy=0.849020 [Epoch 128][Batch 299], Speed: 71.606466 samples/sec, CrossEntropy=1.766065, SmoothL1=0.741737, accuracy=0.849295 [Epoch 128][Batch 399], Speed: 71.389371 samples/sec, CrossEntropy=1.776257, SmoothL1=0.744951, accuracy=0.848548 [Epoch 128][Batch 499], Speed: 77.365699 samples/sec, CrossEntropy=1.782205, SmoothL1=0.745878, accuracy=0.848309 [Epoch 128] Training cost: 240.214100, CrossEntropy=1.783101, SmoothL1=0.745043, accuracy=0.848240 [Epoch 128] Validation: aeroplane=0.837850 bicycle=0.845946 bird=0.774496 boat=0.720389 bottle=0.538863 bus=0.832802 car=0.868468 cat=0.867946 chair=0.612337 cow=0.784390 diningtable=0.753423 dog=0.828989 horse=0.851517 motorbike=0.831244 person=0.804148 pottedplant=0.511967 sheep=0.781560 sofa=0.788043 train=0.852536 tvmonitor=0.765891 mAP=0.772640 [Epoch 129][Batch 99], Speed: 72.380362 samples/sec, CrossEntropy=1.754475, SmoothL1=0.741860, accuracy=0.852446 [Epoch 129][Batch 199], Speed: 72.616027 samples/sec, CrossEntropy=1.777605, SmoothL1=0.742915, accuracy=0.850605 [Epoch 129][Batch 299], Speed: 72.199080 samples/sec, CrossEntropy=1.798566, SmoothL1=0.751563, accuracy=0.848790 [Epoch 129][Batch 399], Speed: 70.827185 samples/sec, CrossEntropy=1.798504, SmoothL1=0.750986, accuracy=0.848784 [Epoch 129][Batch 499], Speed: 76.200974 samples/sec, CrossEntropy=1.791347, SmoothL1=0.750801, accuracy=0.848816 [Epoch 129] Training cost: 241.700105, CrossEntropy=1.791010, SmoothL1=0.749804, accuracy=0.848860 [Epoch 129] Validation: aeroplane=0.810947 bicycle=0.845522 bird=0.809418 boat=0.705388 bottle=0.542225 bus=0.827049 car=0.873707 cat=0.857688 chair=0.592355 cow=0.777926 diningtable=0.732175 dog=0.833586 horse=0.857976 motorbike=0.851361 person=0.787778 pottedplant=0.518866 sheep=0.797080 sofa=0.770859 train=0.846265 tvmonitor=0.767200 mAP=0.770269 [Epoch 130][Batch 99], Speed: 71.101949 samples/sec, CrossEntropy=1.722672, SmoothL1=0.727976, accuracy=0.854111 [Epoch 130][Batch 199], Speed: 71.619457 samples/sec, CrossEntropy=1.768587, SmoothL1=0.745505, accuracy=0.850184 [Epoch 130][Batch 299], Speed: 65.653009 samples/sec, CrossEntropy=1.778485, SmoothL1=0.746752, accuracy=0.849131 [Epoch 130][Batch 399], Speed: 71.634212 samples/sec, CrossEntropy=1.781831, SmoothL1=0.741190, accuracy=0.849021 [Epoch 130][Batch 499], Speed: 74.279182 samples/sec, CrossEntropy=1.773302, SmoothL1=0.736868, accuracy=0.849507 [Epoch 130] Training cost: 240.985548, CrossEntropy=1.773869, SmoothL1=0.736719, accuracy=0.849565 [Epoch 130] Validation: aeroplane=0.808710 bicycle=0.853739 bird=0.792336 boat=0.676918 bottle=0.542381 bus=0.841266 car=0.870676 cat=0.863685 chair=0.578116 cow=0.798341 diningtable=0.722315 dog=0.837314 horse=0.864433 motorbike=0.835682 person=0.797890 pottedplant=0.480201 sheep=0.789307 sofa=0.782204 train=0.856859 tvmonitor=0.753308 mAP=0.767284 [Epoch 131][Batch 99], Speed: 72.591324 samples/sec, CrossEntropy=1.783531, SmoothL1=0.740011, accuracy=0.849417 [Epoch 131][Batch 199], Speed: 67.104536 samples/sec, CrossEntropy=1.778531, SmoothL1=0.744332, accuracy=0.849303 [Epoch 131][Batch 299], Speed: 58.758618 samples/sec, CrossEntropy=1.767436, SmoothL1=0.734351, accuracy=0.850297 [Epoch 131][Batch 399], Speed: 70.940202 samples/sec, CrossEntropy=1.780923, SmoothL1=0.742470, accuracy=0.849528 [Epoch 131][Batch 499], Speed: 77.109371 samples/sec, CrossEntropy=1.778764, SmoothL1=0.739062, accuracy=0.849623 [Epoch 131] Training cost: 240.906814, CrossEntropy=1.780581, SmoothL1=0.739434, accuracy=0.849574 [Epoch 131] Validation: aeroplane=0.821681 bicycle=0.859921 bird=0.800605 boat=0.693992 bottle=0.517779 bus=0.827083 car=0.864940 cat=0.856438 chair=0.593969 cow=0.735142 diningtable=0.724097 dog=0.842770 horse=0.823044 motorbike=0.844594 person=0.795508 pottedplant=0.522173 sheep=0.786738 sofa=0.805388 train=0.847280 tvmonitor=0.756804 mAP=0.765997 [Epoch 132][Batch 99], Speed: 69.464474 samples/sec, CrossEntropy=1.734142, SmoothL1=0.707912, accuracy=0.851205 [Epoch 132][Batch 199], Speed: 71.476774 samples/sec, CrossEntropy=1.722847, SmoothL1=0.709433, accuracy=0.852727 [Epoch 132][Batch 299], Speed: 70.822775 samples/sec, CrossEntropy=1.739871, SmoothL1=0.723568, accuracy=0.851839 [Epoch 132][Batch 399], Speed: 68.356054 samples/sec, CrossEntropy=1.749320, SmoothL1=0.726039, accuracy=0.851468 [Epoch 132][Batch 499], Speed: 77.244901 samples/sec, CrossEntropy=1.750192, SmoothL1=0.728509, accuracy=0.851042 [Epoch 132] Training cost: 241.615932, CrossEntropy=1.751946, SmoothL1=0.729115, accuracy=0.850898 [Epoch 132] Validation: aeroplane=0.832227 bicycle=0.852804 bird=0.783432 boat=0.692720 bottle=0.527253 bus=0.817350 car=0.869768 cat=0.872155 chair=0.596664 cow=0.784302 diningtable=0.748443 dog=0.826495 horse=0.865202 motorbike=0.830099 person=0.799623 pottedplant=0.516396 sheep=0.787516 sofa=0.799963 train=0.838188 tvmonitor=0.763130 mAP=0.770186 [Epoch 133][Batch 99], Speed: 66.900536 samples/sec, CrossEntropy=1.727786, SmoothL1=0.744447, accuracy=0.852927 [Epoch 133][Batch 199], Speed: 68.052376 samples/sec, CrossEntropy=1.749566, SmoothL1=0.741578, accuracy=0.850814 [Epoch 133][Batch 299], Speed: 72.796451 samples/sec, CrossEntropy=1.751633, SmoothL1=0.733754, accuracy=0.850520 [Epoch 133][Batch 399], Speed: 72.261351 samples/sec, CrossEntropy=1.751058, SmoothL1=0.731695, accuracy=0.850574 [Epoch 133][Batch 499], Speed: 76.236769 samples/sec, CrossEntropy=1.757960, SmoothL1=0.730394, accuracy=0.850547 [Epoch 133] Training cost: 240.701925, CrossEntropy=1.758971, SmoothL1=0.731630, accuracy=0.850544 [Epoch 133] Validation: aeroplane=0.819152 bicycle=0.849704 bird=0.784898 boat=0.708350 bottle=0.515928 bus=0.841610 car=0.860773 cat=0.872449 chair=0.586955 cow=0.778625 diningtable=0.739843 dog=0.812950 horse=0.852197 motorbike=0.849374 person=0.795510 pottedplant=0.526101 sheep=0.784889 sofa=0.794443 train=0.842608 tvmonitor=0.764101 mAP=0.769023 [Epoch 134][Batch 99], Speed: 71.928043 samples/sec, CrossEntropy=1.747276, SmoothL1=0.710715, accuracy=0.851570 [Epoch 134][Batch 199], Speed: 71.891404 samples/sec, CrossEntropy=1.746708, SmoothL1=0.729071, accuracy=0.852386 [Epoch 134][Batch 299], Speed: 74.036373 samples/sec, CrossEntropy=1.762325, SmoothL1=0.734982, accuracy=0.850870 [Epoch 134][Batch 399], Speed: 68.769299 samples/sec, CrossEntropy=1.772403, SmoothL1=0.739680, accuracy=0.850253 [Epoch 134][Batch 499], Speed: 77.421260 samples/sec, CrossEntropy=1.776644, SmoothL1=0.742048, accuracy=0.849789 [Epoch 134] Training cost: 240.229545, CrossEntropy=1.774955, SmoothL1=0.740739, accuracy=0.849774 [Epoch 134] Validation: aeroplane=0.819333 bicycle=0.853352 bird=0.791909 boat=0.708222 bottle=0.539670 bus=0.831685 car=0.865323 cat=0.861983 chair=0.589696 cow=0.755941 diningtable=0.744445 dog=0.817182 horse=0.850743 motorbike=0.842019 person=0.792972 pottedplant=0.499500 sheep=0.758956 sofa=0.794249 train=0.833926 tvmonitor=0.750211 mAP=0.765066 [Epoch 135][Batch 99], Speed: 71.416303 samples/sec, CrossEntropy=1.735044, SmoothL1=0.732096, accuracy=0.851831 [Epoch 135][Batch 199], Speed: 72.309859 samples/sec, CrossEntropy=1.729646, SmoothL1=0.729191, accuracy=0.852558 [Epoch 135][Batch 299], Speed: 62.597202 samples/sec, CrossEntropy=1.728697, SmoothL1=0.723970, accuracy=0.852684 [Epoch 135][Batch 399], Speed: 71.898451 samples/sec, CrossEntropy=1.737287, SmoothL1=0.724669, accuracy=0.852203 [Epoch 135][Batch 499], Speed: 73.876750 samples/sec, CrossEntropy=1.747583, SmoothL1=0.730172, accuracy=0.851450 [Epoch 135] Training cost: 240.597045, CrossEntropy=1.749683, SmoothL1=0.728679, accuracy=0.851297 [Epoch 135] Validation: aeroplane=0.825690 bicycle=0.848282 bird=0.787119 boat=0.706018 bottle=0.522873 bus=0.833315 car=0.868285 cat=0.871773 chair=0.571050 cow=0.787799 diningtable=0.720838 dog=0.845926 horse=0.855313 motorbike=0.833142 person=0.800724 pottedplant=0.509265 sheep=0.792569 sofa=0.779616 train=0.847646 tvmonitor=0.749261 mAP=0.767825 [Epoch 136][Batch 99], Speed: 71.584048 samples/sec, CrossEntropy=1.730313, SmoothL1=0.727058, accuracy=0.853004 [Epoch 136][Batch 199], Speed: 72.734870 samples/sec, CrossEntropy=1.738252, SmoothL1=0.730502, accuracy=0.851628 [Epoch 136][Batch 299], Speed: 63.546661 samples/sec, CrossEntropy=1.740697, SmoothL1=0.726064, accuracy=0.851696 [Epoch 136][Batch 399], Speed: 68.203531 samples/sec, CrossEntropy=1.751278, SmoothL1=0.725477, accuracy=0.850722 [Epoch 136][Batch 499], Speed: 73.899732 samples/sec, CrossEntropy=1.753855, SmoothL1=0.722961, accuracy=0.850443 [Epoch 136] Training cost: 240.473073, CrossEntropy=1.754730, SmoothL1=0.722732, accuracy=0.850367 [Epoch 136] Validation: aeroplane=0.810179 bicycle=0.851527 bird=0.791512 boat=0.714677 bottle=0.567335 bus=0.848911 car=0.874364 cat=0.849381 chair=0.592845 cow=0.813975 diningtable=0.743508 dog=0.827420 horse=0.849618 motorbike=0.839484 person=0.785777 pottedplant=0.515455 sheep=0.796852 sofa=0.800311 train=0.849188 tvmonitor=0.761898 mAP=0.774211 [Epoch 137][Batch 99], Speed: 68.534799 samples/sec, CrossEntropy=1.707841, SmoothL1=0.703823, accuracy=0.853773 [Epoch 137][Batch 199], Speed: 69.128665 samples/sec, CrossEntropy=1.733864, SmoothL1=0.718095, accuracy=0.851263 [Epoch 137][Batch 299], Speed: 71.493983 samples/sec, CrossEntropy=1.723511, SmoothL1=0.722710, accuracy=0.852497 [Epoch 137][Batch 399], Speed: 71.451204 samples/sec, CrossEntropy=1.727594, SmoothL1=0.721842, accuracy=0.852748 [Epoch 137][Batch 499], Speed: 76.100392 samples/sec, CrossEntropy=1.734141, SmoothL1=0.721029, accuracy=0.852270 [Epoch 137] Training cost: 240.895936, CrossEntropy=1.735777, SmoothL1=0.721961, accuracy=0.852281 [Epoch 137] Validation: aeroplane=0.807711 bicycle=0.847184 bird=0.797508 boat=0.700270 bottle=0.527376 bus=0.834718 car=0.867909 cat=0.879654 chair=0.597046 cow=0.803024 diningtable=0.746576 dog=0.856479 horse=0.855856 motorbike=0.837977 person=0.798963 pottedplant=0.513680 sheep=0.787340 sofa=0.781757 train=0.853258 tvmonitor=0.763474 mAP=0.772888 [Epoch 138][Batch 99], Speed: 71.991624 samples/sec, CrossEntropy=1.733375, SmoothL1=0.731054, accuracy=0.852476 [Epoch 138][Batch 199], Speed: 72.668671 samples/sec, CrossEntropy=1.753342, SmoothL1=0.740477, accuracy=0.849951 [Epoch 138][Batch 299], Speed: 71.955074 samples/sec, CrossEntropy=1.761952, SmoothL1=0.737877, accuracy=0.849739 [Epoch 138][Batch 399], Speed: 70.485026 samples/sec, CrossEntropy=1.764659, SmoothL1=0.734777, accuracy=0.849924 [Epoch 138][Batch 499], Speed: 77.491796 samples/sec, CrossEntropy=1.764740, SmoothL1=0.732931, accuracy=0.849946 [Epoch 138] Training cost: 240.470819, CrossEntropy=1.761136, SmoothL1=0.730051, accuracy=0.850251 [Epoch 138] Validation: aeroplane=0.828667 bicycle=0.847860 bird=0.782167 boat=0.713796 bottle=0.564160 bus=0.838950 car=0.865266 cat=0.869947 chair=0.599396 cow=0.756752 diningtable=0.741096 dog=0.843632 horse=0.856149 motorbike=0.834988 person=0.798426 pottedplant=0.542186 sheep=0.759974 sofa=0.802194 train=0.847967 tvmonitor=0.742679 mAP=0.771813 [Epoch 139][Batch 99], Speed: 70.237341 samples/sec, CrossEntropy=1.717460, SmoothL1=0.708333, accuracy=0.854745 [Epoch 139][Batch 199], Speed: 73.274191 samples/sec, CrossEntropy=1.712241, SmoothL1=0.704319, accuracy=0.854218 [Epoch 139][Batch 299], Speed: 69.876934 samples/sec, CrossEntropy=1.715415, SmoothL1=0.708296, accuracy=0.854119 [Epoch 139][Batch 399], Speed: 70.867162 samples/sec, CrossEntropy=1.731638, SmoothL1=0.712951, accuracy=0.852818 [Epoch 139][Batch 499], Speed: 77.431399 samples/sec, CrossEntropy=1.736888, SmoothL1=0.716535, accuracy=0.852178 [Epoch 139] Training cost: 241.216228, CrossEntropy=1.739971, SmoothL1=0.717672, accuracy=0.852006 [Epoch 139] Validation: aeroplane=0.830742 bicycle=0.854865 bird=0.792213 boat=0.680633 bottle=0.501418 bus=0.835745 car=0.868543 cat=0.867070 chair=0.602982 cow=0.817702 diningtable=0.726493 dog=0.834941 horse=0.841000 motorbike=0.845435 person=0.794364 pottedplant=0.536588 sheep=0.797244 sofa=0.800099 train=0.812681 tvmonitor=0.749360 mAP=0.769506 [Epoch 140][Batch 99], Speed: 70.425629 samples/sec, CrossEntropy=1.737538, SmoothL1=0.717814, accuracy=0.851092 [Epoch 140][Batch 199], Speed: 71.080938 samples/sec, CrossEntropy=1.743635, SmoothL1=0.730383, accuracy=0.851207 [Epoch 140][Batch 299], Speed: 69.652287 samples/sec, CrossEntropy=1.738123, SmoothL1=0.732944, accuracy=0.851393 [Epoch 140][Batch 399], Speed: 72.771269 samples/sec, CrossEntropy=1.749733, SmoothL1=0.731256, accuracy=0.850625 [Epoch 140][Batch 499], Speed: 74.219911 samples/sec, CrossEntropy=1.746874, SmoothL1=0.726875, accuracy=0.850839 [Epoch 140] Training cost: 240.678813, CrossEntropy=1.747906, SmoothL1=0.728289, accuracy=0.850786 [Epoch 140] Validation: aeroplane=0.821872 bicycle=0.857523 bird=0.778065 boat=0.661830 bottle=0.522780 bus=0.833027 car=0.869664 cat=0.870366 chair=0.579260 cow=0.807335 diningtable=0.750604 dog=0.841337 horse=0.864408 motorbike=0.836022 person=0.784473 pottedplant=0.482413 sheep=0.784478 sofa=0.772713 train=0.834805 tvmonitor=0.746177 mAP=0.764958 [Epoch 141][Batch 99], Speed: 70.515614 samples/sec, CrossEntropy=1.752394, SmoothL1=0.728436, accuracy=0.851623 [Epoch 141][Batch 199], Speed: 72.124704 samples/sec, CrossEntropy=1.736471, SmoothL1=0.727285, accuracy=0.851309 [Epoch 141][Batch 299], Speed: 70.943690 samples/sec, CrossEntropy=1.737427, SmoothL1=0.726775, accuracy=0.851376 [Epoch 141][Batch 399], Speed: 69.660023 samples/sec, CrossEntropy=1.735234, SmoothL1=0.722041, accuracy=0.851581 [Epoch 141][Batch 499], Speed: 77.144694 samples/sec, CrossEntropy=1.736868, SmoothL1=0.721049, accuracy=0.851667 [Epoch 141] Training cost: 241.600651, CrossEntropy=1.738234, SmoothL1=0.723447, accuracy=0.851522 [Epoch 141] Validation: aeroplane=0.831682 bicycle=0.859041 bird=0.789751 boat=0.693010 bottle=0.540540 bus=0.838865 car=0.863055 cat=0.849367 chair=0.599138 cow=0.814690 diningtable=0.722512 dog=0.832908 horse=0.850023 motorbike=0.833122 person=0.793051 pottedplant=0.533621 sheep=0.764494 sofa=0.788973 train=0.844170 tvmonitor=0.764193 mAP=0.770310 [Epoch 142][Batch 99], Speed: 71.563209 samples/sec, CrossEntropy=1.683278, SmoothL1=0.683125, accuracy=0.856110 [Epoch 142][Batch 199], Speed: 70.414324 samples/sec, CrossEntropy=1.697875, SmoothL1=0.696097, accuracy=0.855439 [Epoch 142][Batch 299], Speed: 66.930761 samples/sec, CrossEntropy=1.705244, SmoothL1=0.702523, accuracy=0.854941 [Epoch 142][Batch 399], Speed: 69.682482 samples/sec, CrossEntropy=1.716202, SmoothL1=0.705320, accuracy=0.853914 [Epoch 142][Batch 499], Speed: 73.959715 samples/sec, CrossEntropy=1.727377, SmoothL1=0.710157, accuracy=0.853180 [Epoch 142] Training cost: 240.818112, CrossEntropy=1.727696, SmoothL1=0.712007, accuracy=0.853060 [Epoch 142] Validation: aeroplane=0.805558 bicycle=0.854296 bird=0.784803 boat=0.709337 bottle=0.548454 bus=0.848275 car=0.867840 cat=0.874926 chair=0.589544 cow=0.806157 diningtable=0.753210 dog=0.812208 horse=0.845671 motorbike=0.835489 person=0.797984 pottedplant=0.483326 sheep=0.782484 sofa=0.789107 train=0.838130 tvmonitor=0.777250 mAP=0.770203 [Epoch 143][Batch 99], Speed: 68.930915 samples/sec, CrossEntropy=1.708550, SmoothL1=0.693789, accuracy=0.855638 [Epoch 143][Batch 199], Speed: 69.733457 samples/sec, CrossEntropy=1.709349, SmoothL1=0.709063, accuracy=0.854715 [Epoch 143][Batch 299], Speed: 73.152225 samples/sec, CrossEntropy=1.714451, SmoothL1=0.712203, accuracy=0.853781 [Epoch 143][Batch 399], Speed: 72.144089 samples/sec, CrossEntropy=1.728355, SmoothL1=0.716935, accuracy=0.853202 [Epoch 143][Batch 499], Speed: 66.949958 samples/sec, CrossEntropy=1.739356, SmoothL1=0.717674, accuracy=0.852049 [Epoch 143] Training cost: 241.111428, CrossEntropy=1.740408, SmoothL1=0.717625, accuracy=0.852042 [Epoch 143] Validation: aeroplane=0.823959 bicycle=0.863724 bird=0.779324 boat=0.701545 bottle=0.560874 bus=0.825109 car=0.864675 cat=0.882271 chair=0.621456 cow=0.794758 diningtable=0.746465 dog=0.835673 horse=0.862033 motorbike=0.829091 person=0.796787 pottedplant=0.521741 sheep=0.781704 sofa=0.780444 train=0.860987 tvmonitor=0.757638 mAP=0.774513 [Epoch 144][Batch 99], Speed: 70.045340 samples/sec, CrossEntropy=1.665977, SmoothL1=0.685849, accuracy=0.855530 [Epoch 144][Batch 199], Speed: 69.503719 samples/sec, CrossEntropy=1.692040, SmoothL1=0.700690, accuracy=0.853975 [Epoch 144][Batch 299], Speed: 70.823111 samples/sec, CrossEntropy=1.714998, SmoothL1=0.712951, accuracy=0.853360 [Epoch 144][Batch 399], Speed: 72.989719 samples/sec, CrossEntropy=1.730975, SmoothL1=0.715934, accuracy=0.852202 [Epoch 144][Batch 499], Speed: 76.948235 samples/sec, CrossEntropy=1.736546, SmoothL1=0.717880, accuracy=0.851768 [Epoch 144] Training cost: 240.573518, CrossEntropy=1.734952, SmoothL1=0.716362, accuracy=0.851878 [Epoch 144] Validation: aeroplane=0.824622 bicycle=0.853971 bird=0.776242 boat=0.685713 bottle=0.545272 bus=0.846829 car=0.867887 cat=0.864949 chair=0.588376 cow=0.800045 diningtable=0.713792 dog=0.853107 horse=0.857005 motorbike=0.841694 person=0.794967 pottedplant=0.521581 sheep=0.799168 sofa=0.786170 train=0.860194 tvmonitor=0.759688 mAP=0.772063 [Epoch 145][Batch 99], Speed: 70.806784 samples/sec, CrossEntropy=1.689462, SmoothL1=0.713670, accuracy=0.855363 [Epoch 145][Batch 199], Speed: 73.931524 samples/sec, CrossEntropy=1.684775, SmoothL1=0.713561, accuracy=0.855962 [Epoch 145][Batch 299], Speed: 73.819784 samples/sec, CrossEntropy=1.703756, SmoothL1=0.714655, accuracy=0.854938 [Epoch 145][Batch 399], Speed: 70.429842 samples/sec, CrossEntropy=1.715198, SmoothL1=0.717212, accuracy=0.853979 [Epoch 145][Batch 499], Speed: 75.448360 samples/sec, CrossEntropy=1.720867, SmoothL1=0.713313, accuracy=0.853697 [Epoch 145] Training cost: 240.559738, CrossEntropy=1.722601, SmoothL1=0.713606, accuracy=0.853509 [Epoch 145] Validation: aeroplane=0.820557 bicycle=0.863666 bird=0.771945 boat=0.685132 bottle=0.581305 bus=0.850773 car=0.861417 cat=0.841344 chair=0.591909 cow=0.755639 diningtable=0.728918 dog=0.808303 horse=0.857608 motorbike=0.848155 person=0.797970 pottedplant=0.524688 sheep=0.744848 sofa=0.797798 train=0.848090 tvmonitor=0.750962 mAP=0.766551 [Epoch 146][Batch 99], Speed: 72.746421 samples/sec, CrossEntropy=1.686183, SmoothL1=0.693920, accuracy=0.855042 [Epoch 146][Batch 199], Speed: 70.759674 samples/sec, CrossEntropy=1.698111, SmoothL1=0.704729, accuracy=0.854303 [Epoch 146][Batch 299], Speed: 72.271624 samples/sec, CrossEntropy=1.714135, SmoothL1=0.712733, accuracy=0.853574 [Epoch 146][Batch 399], Speed: 62.971539 samples/sec, CrossEntropy=1.721205, SmoothL1=0.715886, accuracy=0.853201 [Epoch 146][Batch 499], Speed: 77.487277 samples/sec, CrossEntropy=1.721988, SmoothL1=0.714944, accuracy=0.853180 [Epoch 146] Training cost: 240.581572, CrossEntropy=1.722543, SmoothL1=0.715756, accuracy=0.853279 [Epoch 146] Validation: aeroplane=0.832896 bicycle=0.858789 bird=0.787513 boat=0.707271 bottle=0.552983 bus=0.849642 car=0.871137 cat=0.861123 chair=0.612349 cow=0.795495 diningtable=0.746827 dog=0.847074 horse=0.867166 motorbike=0.834023 person=0.802088 pottedplant=0.493118 sheep=0.793431 sofa=0.779417 train=0.848005 tvmonitor=0.752357 mAP=0.774635 [Epoch 147][Batch 99], Speed: 68.002485 samples/sec, CrossEntropy=1.655531, SmoothL1=0.676476, accuracy=0.858170 [Epoch 147][Batch 199], Speed: 68.864425 samples/sec, CrossEntropy=1.680411, SmoothL1=0.694646, accuracy=0.856495 [Epoch 147][Batch 299], Speed: 73.165106 samples/sec, CrossEntropy=1.703452, SmoothL1=0.705819, accuracy=0.854626 [Epoch 147][Batch 399], Speed: 67.709242 samples/sec, CrossEntropy=1.714606, SmoothL1=0.706633, accuracy=0.853846 [Epoch 147][Batch 499], Speed: 73.908318 samples/sec, CrossEntropy=1.717461, SmoothL1=0.711414, accuracy=0.853778 [Epoch 147] Training cost: 240.746116, CrossEntropy=1.716609, SmoothL1=0.710921, accuracy=0.853793 [Epoch 147] Validation: aeroplane=0.819484 bicycle=0.860243 bird=0.778841 boat=0.690780 bottle=0.561875 bus=0.817512 car=0.859160 cat=0.868504 chair=0.609489 cow=0.806752 diningtable=0.743239 dog=0.821853 horse=0.864511 motorbike=0.840952 person=0.794665 pottedplant=0.523372 sheep=0.798847 sofa=0.797300 train=0.853488 tvmonitor=0.782332 mAP=0.774660 [Epoch 148][Batch 99], Speed: 70.804281 samples/sec, CrossEntropy=1.697643, SmoothL1=0.706198, accuracy=0.854767 [Epoch 148][Batch 199], Speed: 71.661635 samples/sec, CrossEntropy=1.680578, SmoothL1=0.705471, accuracy=0.855643 [Epoch 148][Batch 299], Speed: 71.321580 samples/sec, CrossEntropy=1.691176, SmoothL1=0.706700, accuracy=0.855136 [Epoch 148][Batch 399], Speed: 71.690343 samples/sec, CrossEntropy=1.701884, SmoothL1=0.712684, accuracy=0.854556 [Epoch 148][Batch 499], Speed: 75.434494 samples/sec, CrossEntropy=1.714054, SmoothL1=0.716189, accuracy=0.853469 [Epoch 148] Training cost: 241.170133, CrossEntropy=1.713803, SmoothL1=0.717125, accuracy=0.853419 [Epoch 148] Validation: aeroplane=0.774332 bicycle=0.846681 bird=0.773866 boat=0.705667 bottle=0.566304 bus=0.852626 car=0.866331 cat=0.873436 chair=0.584816 cow=0.793298 diningtable=0.705872 dog=0.834027 horse=0.859642 motorbike=0.831124 person=0.803083 pottedplant=0.501392 sheep=0.771790 sofa=0.792698 train=0.847161 tvmonitor=0.768112 mAP=0.767613 [Epoch 149][Batch 99], Speed: 72.682523 samples/sec, CrossEntropy=1.726399, SmoothL1=0.712477, accuracy=0.852053 [Epoch 149][Batch 199], Speed: 71.218907 samples/sec, CrossEntropy=1.730709, SmoothL1=0.709759, accuracy=0.851827 [Epoch 149][Batch 299], Speed: 64.626122 samples/sec, CrossEntropy=1.722452, SmoothL1=0.708299, accuracy=0.853259 [Epoch 149][Batch 399], Speed: 70.600296 samples/sec, CrossEntropy=1.730295, SmoothL1=0.714205, accuracy=0.852665 [Epoch 149][Batch 499], Speed: 74.253006 samples/sec, CrossEntropy=1.730337, SmoothL1=0.714741, accuracy=0.853042 [Epoch 149] Training cost: 240.850864, CrossEntropy=1.731699, SmoothL1=0.716239, accuracy=0.852959 [Epoch 149] Validation: aeroplane=0.830699 bicycle=0.844327 bird=0.770865 boat=0.699243 bottle=0.556018 bus=0.845312 car=0.870270 cat=0.855911 chair=0.594571 cow=0.806172 diningtable=0.760506 dog=0.827806 horse=0.841494 motorbike=0.838882 person=0.801018 pottedplant=0.504696 sheep=0.789464 sofa=0.782062 train=0.848446 tvmonitor=0.764900 mAP=0.771633 [Epoch 150][Batch 99], Speed: 73.190201 samples/sec, CrossEntropy=1.673412, SmoothL1=0.683138, accuracy=0.855237 [Epoch 150][Batch 199], Speed: 68.298452 samples/sec, CrossEntropy=1.680140, SmoothL1=0.697810, accuracy=0.855355 [Epoch 150][Batch 299], Speed: 73.702148 samples/sec, CrossEntropy=1.682654, SmoothL1=0.696423, accuracy=0.854988 [Epoch 150][Batch 399], Speed: 67.965536 samples/sec, CrossEntropy=1.696212, SmoothL1=0.703953, accuracy=0.854688 [Epoch 150][Batch 499], Speed: 74.084882 samples/sec, CrossEntropy=1.703131, SmoothL1=0.704551, accuracy=0.854269 [Epoch 150] Training cost: 241.391143, CrossEntropy=1.702933, SmoothL1=0.705326, accuracy=0.854208 [Epoch 150] Validation: aeroplane=0.789488 bicycle=0.855712 bird=0.789877 boat=0.675439 bottle=0.569554 bus=0.857978 car=0.867908 cat=0.872686 chair=0.635680 cow=0.794854 diningtable=0.753946 dog=0.833558 horse=0.848521 motorbike=0.837055 person=0.792556 pottedplant=0.481217 sheep=0.793273 sofa=0.812201 train=0.849828 tvmonitor=0.770209 mAP=0.774077 [Epoch 151][Batch 99], Speed: 70.494837 samples/sec, CrossEntropy=1.685116, SmoothL1=0.706636, accuracy=0.856770 [Epoch 151][Batch 199], Speed: 67.929452 samples/sec, CrossEntropy=1.696061, SmoothL1=0.720032, accuracy=0.855514 [Epoch 151][Batch 299], Speed: 72.461133 samples/sec, CrossEntropy=1.698093, SmoothL1=0.713452, accuracy=0.855375 [Epoch 151][Batch 399], Speed: 71.783783 samples/sec, CrossEntropy=1.704796, SmoothL1=0.710845, accuracy=0.854815 [Epoch 151][Batch 499], Speed: 73.827458 samples/sec, CrossEntropy=1.707187, SmoothL1=0.709549, accuracy=0.854543 [Epoch 151] Training cost: 240.608882, CrossEntropy=1.707019, SmoothL1=0.709586, accuracy=0.854498 [Epoch 151] Validation: aeroplane=0.813291 bicycle=0.863419 bird=0.784045 boat=0.671114 bottle=0.538192 bus=0.834962 car=0.868522 cat=0.852149 chair=0.608425 cow=0.781501 diningtable=0.759821 dog=0.833126 horse=0.857371 motorbike=0.836844 person=0.799020 pottedplant=0.511070 sheep=0.797250 sofa=0.802787 train=0.852229 tvmonitor=0.764319 mAP=0.771473 [Epoch 152][Batch 99], Speed: 72.197604 samples/sec, CrossEntropy=1.652739, SmoothL1=0.683906, accuracy=0.858827 [Epoch 152][Batch 199], Speed: 73.307729 samples/sec, CrossEntropy=1.677020, SmoothL1=0.700255, accuracy=0.856734 [Epoch 152][Batch 299], Speed: 72.919688 samples/sec, CrossEntropy=1.692650, SmoothL1=0.702769, accuracy=0.855458 [Epoch 152][Batch 399], Speed: 68.459152 samples/sec, CrossEntropy=1.697571, SmoothL1=0.706267, accuracy=0.855153 [Epoch 152][Batch 499], Speed: 75.615068 samples/sec, CrossEntropy=1.700120, SmoothL1=0.708407, accuracy=0.854863 [Epoch 152] Training cost: 241.301796, CrossEntropy=1.698152, SmoothL1=0.707027, accuracy=0.855123 [Epoch 152] Validation: aeroplane=0.827948 bicycle=0.855407 bird=0.784387 boat=0.696193 bottle=0.544818 bus=0.852937 car=0.867467 cat=0.864975 chair=0.628422 cow=0.811991 diningtable=0.769269 dog=0.812246 horse=0.841369 motorbike=0.844123 person=0.803088 pottedplant=0.502808 sheep=0.781943 sofa=0.762336 train=0.841996 tvmonitor=0.766328 mAP=0.773003 [Epoch 153][Batch 99], Speed: 72.706619 samples/sec, CrossEntropy=1.666818, SmoothL1=0.695075, accuracy=0.858290 [Epoch 153][Batch 199], Speed: 71.975795 samples/sec, CrossEntropy=1.684605, SmoothL1=0.701239, accuracy=0.856632 [Epoch 153][Batch 299], Speed: 62.152800 samples/sec, CrossEntropy=1.694930, SmoothL1=0.705868, accuracy=0.855257 [Epoch 153][Batch 399], Speed: 70.077852 samples/sec, CrossEntropy=1.708220, SmoothL1=0.704139, accuracy=0.854323 [Epoch 153][Batch 499], Speed: 76.610916 samples/sec, CrossEntropy=1.717293, SmoothL1=0.707322, accuracy=0.853945 [Epoch 153] Training cost: 240.820334, CrossEntropy=1.718658, SmoothL1=0.706565, accuracy=0.853935 [Epoch 153] Validation: aeroplane=0.830579 bicycle=0.854577 bird=0.808002 boat=0.681936 bottle=0.526522 bus=0.841851 car=0.872575 cat=0.864625 chair=0.618132 cow=0.789310 diningtable=0.745806 dog=0.825100 horse=0.850303 motorbike=0.849935 person=0.800814 pottedplant=0.502458 sheep=0.806129 sofa=0.781256 train=0.855231 tvmonitor=0.765122 mAP=0.773513 [Epoch 154][Batch 99], Speed: 68.694575 samples/sec, CrossEntropy=1.660688, SmoothL1=0.676019, accuracy=0.857361 [Epoch 154][Batch 199], Speed: 71.712061 samples/sec, CrossEntropy=1.687348, SmoothL1=0.696404, accuracy=0.855609 [Epoch 154][Batch 299], Speed: 73.508113 samples/sec, CrossEntropy=1.697074, SmoothL1=0.700249, accuracy=0.854946 [Epoch 154][Batch 399], Speed: 70.704022 samples/sec, CrossEntropy=1.701424, SmoothL1=0.702433, accuracy=0.854463 [Epoch 154][Batch 499], Speed: 77.489738 samples/sec, CrossEntropy=1.711183, SmoothL1=0.710194, accuracy=0.853993 [Epoch 154] Training cost: 240.510500, CrossEntropy=1.711698, SmoothL1=0.708649, accuracy=0.853962 [Epoch 154] Validation: aeroplane=0.814593 bicycle=0.856984 bird=0.778597 boat=0.705419 bottle=0.557196 bus=0.831711 car=0.867723 cat=0.851477 chair=0.599435 cow=0.830930 diningtable=0.764389 dog=0.819403 horse=0.860281 motorbike=0.831447 person=0.797204 pottedplant=0.493212 sheep=0.769021 sofa=0.755509 train=0.860282 tvmonitor=0.748208 mAP=0.769651 [Epoch 155][Batch 99], Speed: 73.858334 samples/sec, CrossEntropy=1.679666, SmoothL1=0.687365, accuracy=0.856589 [Epoch 155][Batch 199], Speed: 70.245832 samples/sec, CrossEntropy=1.682450, SmoothL1=0.697633, accuracy=0.856566 [Epoch 155][Batch 299], Speed: 73.403589 samples/sec, CrossEntropy=1.691009, SmoothL1=0.699933, accuracy=0.856069 [Epoch 155][Batch 399], Speed: 71.626681 samples/sec, CrossEntropy=1.696444, SmoothL1=0.701948, accuracy=0.855297 [Epoch 155][Batch 499], Speed: 75.404997 samples/sec, CrossEntropy=1.699027, SmoothL1=0.703181, accuracy=0.855340 [Epoch 155] Training cost: 241.172658, CrossEntropy=1.699472, SmoothL1=0.702646, accuracy=0.855293 [Epoch 155] Validation: aeroplane=0.848837 bicycle=0.855809 bird=0.787931 boat=0.716434 bottle=0.572251 bus=0.842732 car=0.867817 cat=0.853478 chair=0.598432 cow=0.803652 diningtable=0.754113 dog=0.838647 horse=0.852543 motorbike=0.838323 person=0.800662 pottedplant=0.521016 sheep=0.798221 sofa=0.786836 train=0.863809 tvmonitor=0.766788 mAP=0.778417 [Epoch 156][Batch 99], Speed: 72.463598 samples/sec, CrossEntropy=1.680350, SmoothL1=0.681946, accuracy=0.857304 [Epoch 156][Batch 199], Speed: 72.262363 samples/sec, CrossEntropy=1.681559, SmoothL1=0.691841, accuracy=0.856916 [Epoch 156][Batch 299], Speed: 69.306397 samples/sec, CrossEntropy=1.689420, SmoothL1=0.689695, accuracy=0.855783 [Epoch 156][Batch 399], Speed: 71.935329 samples/sec, CrossEntropy=1.696408, SmoothL1=0.694821, accuracy=0.855433 [Epoch 156][Batch 499], Speed: 77.014553 samples/sec, CrossEntropy=1.692351, SmoothL1=0.693643, accuracy=0.855495 [Epoch 156] Training cost: 240.407054, CrossEntropy=1.694056, SmoothL1=0.694535, accuracy=0.855499 [Epoch 156] Validation: aeroplane=0.814622 bicycle=0.845666 bird=0.788839 boat=0.675674 bottle=0.562014 bus=0.840708 car=0.863752 cat=0.857069 chair=0.598751 cow=0.811051 diningtable=0.744101 dog=0.840700 horse=0.856419 motorbike=0.839398 person=0.802252 pottedplant=0.510989 sheep=0.794904 sofa=0.799130 train=0.845633 tvmonitor=0.753234 mAP=0.772245 [Epoch 157][Batch 99], Speed: 71.221553 samples/sec, CrossEntropy=1.652397, SmoothL1=0.663795, accuracy=0.859165 [Epoch 157][Batch 199], Speed: 71.673345 samples/sec, CrossEntropy=1.669378, SmoothL1=0.683666, accuracy=0.857457 [Epoch 157][Batch 299], Speed: 70.652660 samples/sec, CrossEntropy=1.685073, SmoothL1=0.693108, accuracy=0.856643 [Epoch 157][Batch 399], Speed: 72.091543 samples/sec, CrossEntropy=1.692106, SmoothL1=0.698384, accuracy=0.856221 [Epoch 157][Batch 499], Speed: 77.051249 samples/sec, CrossEntropy=1.697374, SmoothL1=0.700901, accuracy=0.855700 [Epoch 157] Training cost: 240.782446, CrossEntropy=1.700891, SmoothL1=0.700843, accuracy=0.855519 [Epoch 157] Validation: aeroplane=0.817311 bicycle=0.852444 bird=0.767633 boat=0.669506 bottle=0.521771 bus=0.852579 car=0.866648 cat=0.861878 chair=0.623269 cow=0.824302 diningtable=0.716896 dog=0.846262 horse=0.861933 motorbike=0.830990 person=0.796711 pottedplant=0.493114 sheep=0.802546 sofa=0.790544 train=0.845484 tvmonitor=0.754800 mAP=0.769831 [Epoch 158][Batch 99], Speed: 69.378800 samples/sec, CrossEntropy=1.669704, SmoothL1=0.707294, accuracy=0.856473 [Epoch 158][Batch 199], Speed: 69.813509 samples/sec, CrossEntropy=1.676569, SmoothL1=0.698097, accuracy=0.856027 [Epoch 158][Batch 299], Speed: 66.964522 samples/sec, CrossEntropy=1.675724, SmoothL1=0.690414, accuracy=0.856848 [Epoch 158][Batch 399], Speed: 72.794595 samples/sec, CrossEntropy=1.687650, SmoothL1=0.694408, accuracy=0.856218 [Epoch 158][Batch 499], Speed: 78.155340 samples/sec, CrossEntropy=1.695556, SmoothL1=0.696809, accuracy=0.855717 [Epoch 158] Training cost: 240.983762, CrossEntropy=1.699218, SmoothL1=0.697121, accuracy=0.855465 [Epoch 158] Validation: aeroplane=0.797994 bicycle=0.855586 bird=0.761677 boat=0.663525 bottle=0.535054 bus=0.836560 car=0.867580 cat=0.858308 chair=0.593326 cow=0.799501 diningtable=0.722400 dog=0.821617 horse=0.857305 motorbike=0.829422 person=0.795767 pottedplant=0.472668 sheep=0.759429 sofa=0.788817 train=0.834952 tvmonitor=0.770500 mAP=0.761099 [Epoch 159][Batch 99], Speed: 68.677809 samples/sec, CrossEntropy=1.686487, SmoothL1=0.695135, accuracy=0.856158 [Epoch 159][Batch 199], Speed: 70.078474 samples/sec, CrossEntropy=1.684139, SmoothL1=0.702498, accuracy=0.856312 [Epoch 159][Batch 299], Speed: 72.644718 samples/sec, CrossEntropy=1.684679, SmoothL1=0.700538, accuracy=0.856156 [Epoch 159][Batch 399], Speed: 69.484720 samples/sec, CrossEntropy=1.688466, SmoothL1=0.702691, accuracy=0.855694 [Epoch 159][Batch 499], Speed: 75.050061 samples/sec, CrossEntropy=1.687884, SmoothL1=0.699339, accuracy=0.855828 [Epoch 159] Training cost: 241.430368, CrossEntropy=1.687595, SmoothL1=0.700266, accuracy=0.855750 [Epoch 159] Validation: aeroplane=0.832312 bicycle=0.842712 bird=0.773005 boat=0.674133 bottle=0.579134 bus=0.831614 car=0.871806 cat=0.861805 chair=0.615410 cow=0.818276 diningtable=0.744257 dog=0.840810 horse=0.854767 motorbike=0.847214 person=0.796545 pottedplant=0.495308 sheep=0.800226 sofa=0.790110 train=0.860821 tvmonitor=0.752384 mAP=0.774132 [Epoch 160] Set learning rate to 0.0001 [Epoch 160][Batch 99], Speed: 70.150080 samples/sec, CrossEntropy=1.649136, SmoothL1=0.679681, accuracy=0.858625 [Epoch 160][Batch 199], Speed: 65.057566 samples/sec, CrossEntropy=1.626618, SmoothL1=0.676979, accuracy=0.860267 [Epoch 160][Batch 299], Speed: 73.270111 samples/sec, CrossEntropy=1.619922, SmoothL1=0.671026, accuracy=0.861034 [Epoch 160][Batch 399], Speed: 72.420784 samples/sec, CrossEntropy=1.613920, SmoothL1=0.664497, accuracy=0.861432 [Epoch 160][Batch 499], Speed: 69.920289 samples/sec, CrossEntropy=1.603939, SmoothL1=0.663143, accuracy=0.862040 [Epoch 160] Training cost: 240.624136, CrossEntropy=1.601868, SmoothL1=0.662085, accuracy=0.862196 [Epoch 160] Validation: aeroplane=0.833831 bicycle=0.864231 bird=0.787786 boat=0.703236 bottle=0.590820 bus=0.861224 car=0.879697 cat=0.879587 chair=0.641119 cow=0.830600 diningtable=0.768451 dog=0.856823 horse=0.870978 motorbike=0.865157 person=0.810373 pottedplant=0.504343 sheep=0.820648 sofa=0.809075 train=0.867310 tvmonitor=0.781204 mAP=0.791325 [Epoch 161][Batch 99], Speed: 72.740822 samples/sec, CrossEntropy=1.527735, SmoothL1=0.610560, accuracy=0.867750 [Epoch 161][Batch 199], Speed: 71.103381 samples/sec, CrossEntropy=1.544602, SmoothL1=0.638994, accuracy=0.867396 [Epoch 161][Batch 299], Speed: 71.046999 samples/sec, CrossEntropy=1.554138, SmoothL1=0.636214, accuracy=0.866887 [Epoch 161][Batch 399], Speed: 67.675886 samples/sec, CrossEntropy=1.552684, SmoothL1=0.638047, accuracy=0.866808 [Epoch 161][Batch 499], Speed: 75.667459 samples/sec, CrossEntropy=1.551982, SmoothL1=0.638830, accuracy=0.866369 [Epoch 161] Training cost: 240.211588, CrossEntropy=1.551818, SmoothL1=0.638571, accuracy=0.866452 [Epoch 161] Validation: aeroplane=0.836457 bicycle=0.867339 bird=0.804798 boat=0.710261 bottle=0.598005 bus=0.849269 car=0.877720 cat=0.876563 chair=0.652412 cow=0.847055 diningtable=0.761223 dog=0.857249 horse=0.859392 motorbike=0.853443 person=0.814433 pottedplant=0.528653 sheep=0.826735 sofa=0.813363 train=0.866046 tvmonitor=0.777745 mAP=0.793908 [Epoch 162][Batch 99], Speed: 71.583246 samples/sec, CrossEntropy=1.532000, SmoothL1=0.616914, accuracy=0.869633 [Epoch 162][Batch 199], Speed: 72.222040 samples/sec, CrossEntropy=1.520171, SmoothL1=0.624146, accuracy=0.869352 [Epoch 162][Batch 299], Speed: 73.607243 samples/sec, CrossEntropy=1.515999, SmoothL1=0.622386, accuracy=0.870037 [Epoch 162][Batch 399], Speed: 72.796609 samples/sec, CrossEntropy=1.523246, SmoothL1=0.623926, accuracy=0.869140 [Epoch 162][Batch 499], Speed: 74.236454 samples/sec, CrossEntropy=1.520153, SmoothL1=0.626272, accuracy=0.869249 [Epoch 162] Training cost: 240.865106, CrossEntropy=1.521279, SmoothL1=0.625796, accuracy=0.869292 [Epoch 162] Validation: aeroplane=0.848076 bicycle=0.867267 bird=0.793664 boat=0.712895 bottle=0.596338 bus=0.854728 car=0.880125 cat=0.868816 chair=0.651235 cow=0.812271 diningtable=0.758906 dog=0.851435 horse=0.866807 motorbike=0.863948 person=0.814234 pottedplant=0.530006 sheep=0.820917 sofa=0.811692 train=0.867808 tvmonitor=0.786489 mAP=0.792883 [Epoch 163][Batch 99], Speed: 72.664855 samples/sec, CrossEntropy=1.489637, SmoothL1=0.612514, accuracy=0.871510 [Epoch 163][Batch 199], Speed: 70.136041 samples/sec, CrossEntropy=1.474202, SmoothL1=0.608738, accuracy=0.872677 [Epoch 163][Batch 299], Speed: 68.101892 samples/sec, CrossEntropy=1.492703, SmoothL1=0.618040, accuracy=0.871223 [Epoch 163][Batch 399], Speed: 73.700772 samples/sec, CrossEntropy=1.493644, SmoothL1=0.616489, accuracy=0.871058 [Epoch 163][Batch 499], Speed: 75.500563 samples/sec, CrossEntropy=1.495938, SmoothL1=0.615080, accuracy=0.870775 [Epoch 163] Training cost: 240.952964, CrossEntropy=1.496797, SmoothL1=0.614108, accuracy=0.870751 [Epoch 163] Validation: aeroplane=0.846805 bicycle=0.859963 bird=0.792865 boat=0.711255 bottle=0.602959 bus=0.854448 car=0.878699 cat=0.878834 chair=0.641644 cow=0.844338 diningtable=0.757629 dog=0.854593 horse=0.869760 motorbike=0.847733 person=0.815318 pottedplant=0.527447 sheep=0.814821 sofa=0.815330 train=0.865119 tvmonitor=0.782147 mAP=0.793085 [Epoch 164][Batch 99], Speed: 73.197226 samples/sec, CrossEntropy=1.491225, SmoothL1=0.604208, accuracy=0.870980 [Epoch 164][Batch 199], Speed: 70.283794 samples/sec, CrossEntropy=1.490293, SmoothL1=0.612792, accuracy=0.870703 [Epoch 164][Batch 299], Speed: 71.638533 samples/sec, CrossEntropy=1.491085, SmoothL1=0.614566, accuracy=0.870930 [Epoch 164][Batch 399], Speed: 71.497373 samples/sec, CrossEntropy=1.491507, SmoothL1=0.613039, accuracy=0.870820 [Epoch 164][Batch 499], Speed: 73.662466 samples/sec, CrossEntropy=1.489376, SmoothL1=0.614040, accuracy=0.871173 [Epoch 164] Training cost: 241.309616, CrossEntropy=1.489647, SmoothL1=0.614197, accuracy=0.871295 [Epoch 164] Validation: aeroplane=0.845380 bicycle=0.861440 bird=0.791205 boat=0.720161 bottle=0.605148 bus=0.856204 car=0.879976 cat=0.877726 chair=0.651635 cow=0.838138 diningtable=0.760307 dog=0.855727 horse=0.869641 motorbike=0.853083 person=0.814397 pottedplant=0.539299 sheep=0.822559 sofa=0.828430 train=0.857481 tvmonitor=0.790651 mAP=0.795929 [Epoch 165][Batch 99], Speed: 72.864029 samples/sec, CrossEntropy=1.475694, SmoothL1=0.611231, accuracy=0.872676 [Epoch 165][Batch 199], Speed: 71.165663 samples/sec, CrossEntropy=1.480840, SmoothL1=0.607269, accuracy=0.872198 [Epoch 165][Batch 299], Speed: 65.360822 samples/sec, CrossEntropy=1.482966, SmoothL1=0.609783, accuracy=0.871961 [Epoch 165][Batch 399], Speed: 72.038649 samples/sec, CrossEntropy=1.487017, SmoothL1=0.606430, accuracy=0.871517 [Epoch 165][Batch 499], Speed: 75.253936 samples/sec, CrossEntropy=1.486993, SmoothL1=0.607823, accuracy=0.871523 [Epoch 165] Training cost: 241.313280, CrossEntropy=1.486286, SmoothL1=0.606597, accuracy=0.871582 [Epoch 165] Validation: aeroplane=0.840931 bicycle=0.864959 bird=0.791620 boat=0.721259 bottle=0.606894 bus=0.865858 car=0.878803 cat=0.872871 chair=0.653231 cow=0.830323 diningtable=0.743840 dog=0.854630 horse=0.867724 motorbike=0.854366 person=0.816977 pottedplant=0.527094 sheep=0.825373 sofa=0.819284 train=0.868192 tvmonitor=0.790449 mAP=0.794734 [Epoch 166][Batch 99], Speed: 68.625066 samples/sec, CrossEntropy=1.462097, SmoothL1=0.590910, accuracy=0.874634 [Epoch 166][Batch 199], Speed: 72.563538 samples/sec, CrossEntropy=1.469291, SmoothL1=0.600131, accuracy=0.874328 [Epoch 166][Batch 299], Speed: 69.544342 samples/sec, CrossEntropy=1.471909, SmoothL1=0.600943, accuracy=0.873677 [Epoch 166][Batch 399], Speed: 71.382043 samples/sec, CrossEntropy=1.476897, SmoothL1=0.604894, accuracy=0.872793 [Epoch 166][Batch 499], Speed: 72.734200 samples/sec, CrossEntropy=1.480806, SmoothL1=0.604910, accuracy=0.872520 [Epoch 166] Training cost: 240.846576, CrossEntropy=1.480187, SmoothL1=0.604478, accuracy=0.872509 [Epoch 166] Validation: aeroplane=0.842349 bicycle=0.868571 bird=0.801666 boat=0.726692 bottle=0.609695 bus=0.857071 car=0.880083 cat=0.876593 chair=0.654168 cow=0.839411 diningtable=0.765797 dog=0.856773 horse=0.866833 motorbike=0.862543 person=0.819861 pottedplant=0.528469 sheep=0.823651 sofa=0.824854 train=0.853422 tvmonitor=0.782727 mAP=0.797061 [Epoch 167][Batch 99], Speed: 69.033341 samples/sec, CrossEntropy=1.449522, SmoothL1=0.598057, accuracy=0.875055 [Epoch 167][Batch 199], Speed: 70.103474 samples/sec, CrossEntropy=1.475070, SmoothL1=0.619104, accuracy=0.872904 [Epoch 167][Batch 299], Speed: 57.263006 samples/sec, CrossEntropy=1.475578, SmoothL1=0.614153, accuracy=0.872934 [Epoch 167][Batch 399], Speed: 69.400611 samples/sec, CrossEntropy=1.470814, SmoothL1=0.605530, accuracy=0.872917 [Epoch 167][Batch 499], Speed: 74.211334 samples/sec, CrossEntropy=1.471283, SmoothL1=0.603746, accuracy=0.873121 [Epoch 167] Training cost: 241.580347, CrossEntropy=1.472949, SmoothL1=0.603363, accuracy=0.873009 [Epoch 167] Validation: aeroplane=0.844262 bicycle=0.865300 bird=0.798442 boat=0.736561 bottle=0.604226 bus=0.852289 car=0.879196 cat=0.881540 chair=0.641189 cow=0.830229 diningtable=0.769093 dog=0.856375 horse=0.869496 motorbike=0.849413 person=0.814825 pottedplant=0.527821 sheep=0.825345 sofa=0.816681 train=0.869615 tvmonitor=0.791074 mAP=0.796149 [Epoch 168][Batch 99], Speed: 72.760539 samples/sec, CrossEntropy=1.486707, SmoothL1=0.615488, accuracy=0.871652 [Epoch 168][Batch 199], Speed: 73.429531 samples/sec, CrossEntropy=1.473568, SmoothL1=0.612069, accuracy=0.872682 [Epoch 168][Batch 299], Speed: 79.526629 samples/sec, CrossEntropy=1.465288, SmoothL1=0.603846, accuracy=0.873462 [Epoch 168][Batch 399], Speed: 71.768660 samples/sec, CrossEntropy=1.461688, SmoothL1=0.598802, accuracy=0.873465 [Epoch 168][Batch 499], Speed: 76.894232 samples/sec, CrossEntropy=1.469639, SmoothL1=0.603722, accuracy=0.873008 [Epoch 168] Training cost: 240.828067, CrossEntropy=1.469020, SmoothL1=0.601598, accuracy=0.873163 [Epoch 168] Validation: aeroplane=0.855412 bicycle=0.862982 bird=0.807678 boat=0.728099 bottle=0.604046 bus=0.855807 car=0.879685 cat=0.882083 chair=0.651339 cow=0.837324 diningtable=0.744312 dog=0.853262 horse=0.872615 motorbike=0.852135 person=0.817053 pottedplant=0.530981 sheep=0.828214 sofa=0.817354 train=0.861747 tvmonitor=0.783314 mAP=0.796272 [Epoch 169][Batch 99], Speed: 72.848803 samples/sec, CrossEntropy=1.431374, SmoothL1=0.584967, accuracy=0.875911 [Epoch 169][Batch 199], Speed: 72.144709 samples/sec, CrossEntropy=1.435719, SmoothL1=0.589430, accuracy=0.875689 [Epoch 169][Batch 299], Speed: 69.032027 samples/sec, CrossEntropy=1.442496, SmoothL1=0.595331, accuracy=0.875293 [Epoch 169][Batch 399], Speed: 72.367561 samples/sec, CrossEntropy=1.449826, SmoothL1=0.593843, accuracy=0.874503 [Epoch 169][Batch 499], Speed: 74.661137 samples/sec, CrossEntropy=1.453044, SmoothL1=0.593184, accuracy=0.874231 [Epoch 169] Training cost: 241.256855, CrossEntropy=1.452314, SmoothL1=0.592737, accuracy=0.874298 [Epoch 169] Validation: aeroplane=0.854496 bicycle=0.864314 bird=0.802112 boat=0.731434 bottle=0.597378 bus=0.855622 car=0.881714 cat=0.873208 chair=0.647515 cow=0.835004 diningtable=0.757668 dog=0.850575 horse=0.872588 motorbike=0.856628 person=0.814291 pottedplant=0.527326 sheep=0.827931 sofa=0.826184 train=0.860337 tvmonitor=0.784055 mAP=0.796019 [Epoch 170][Batch 99], Speed: 66.980496 samples/sec, CrossEntropy=1.447928, SmoothL1=0.595413, accuracy=0.875596 [Epoch 170][Batch 199], Speed: 71.039629 samples/sec, CrossEntropy=1.454935, SmoothL1=0.602885, accuracy=0.874873 [Epoch 170][Batch 299], Speed: 70.494207 samples/sec, CrossEntropy=1.453352, SmoothL1=0.601295, accuracy=0.874779 [Epoch 170][Batch 399], Speed: 71.751433 samples/sec, CrossEntropy=1.459986, SmoothL1=0.601279, accuracy=0.874092 [Epoch 170][Batch 499], Speed: 76.220274 samples/sec, CrossEntropy=1.457145, SmoothL1=0.598992, accuracy=0.874424 [Epoch 170] Training cost: 241.079416, CrossEntropy=1.457082, SmoothL1=0.598715, accuracy=0.874436 [Epoch 170] Validation: aeroplane=0.855394 bicycle=0.865887 bird=0.800858 boat=0.733515 bottle=0.600228 bus=0.857975 car=0.881640 cat=0.877040 chair=0.649111 cow=0.839137 diningtable=0.770334 dog=0.852815 horse=0.880040 motorbike=0.861962 person=0.813643 pottedplant=0.535867 sheep=0.826025 sofa=0.823251 train=0.854712 tvmonitor=0.778723 mAP=0.797908 [Epoch 171][Batch 99], Speed: 70.277906 samples/sec, CrossEntropy=1.432185, SmoothL1=0.582835, accuracy=0.877250 [Epoch 171][Batch 199], Speed: 72.027283 samples/sec, CrossEntropy=1.431103, SmoothL1=0.583853, accuracy=0.877007 [Epoch 171][Batch 299], Speed: 72.971226 samples/sec, CrossEntropy=1.441359, SmoothL1=0.593157, accuracy=0.875595 [Epoch 171][Batch 399], Speed: 72.066886 samples/sec, CrossEntropy=1.453192, SmoothL1=0.596274, accuracy=0.874606 [Epoch 171][Batch 499], Speed: 76.457167 samples/sec, CrossEntropy=1.450353, SmoothL1=0.593656, accuracy=0.874812 [Epoch 171] Training cost: 241.392509, CrossEntropy=1.450321, SmoothL1=0.592645, accuracy=0.874822 [Epoch 171] Validation: aeroplane=0.851827 bicycle=0.874266 bird=0.797076 boat=0.727180 bottle=0.605360 bus=0.865635 car=0.882099 cat=0.884983 chair=0.647662 cow=0.838687 diningtable=0.756502 dog=0.854545 horse=0.864309 motorbike=0.853848 person=0.813366 pottedplant=0.528344 sheep=0.823553 sofa=0.831115 train=0.846512 tvmonitor=0.782699 mAP=0.796478 [Epoch 172][Batch 99], Speed: 71.049857 samples/sec, CrossEntropy=1.417764, SmoothL1=0.581177, accuracy=0.877524 [Epoch 172][Batch 199], Speed: 72.541967 samples/sec, CrossEntropy=1.440267, SmoothL1=0.593176, accuracy=0.875734 [Epoch 172][Batch 299], Speed: 72.320106 samples/sec, CrossEntropy=1.442966, SmoothL1=0.595039, accuracy=0.876010 [Epoch 172][Batch 399], Speed: 73.555125 samples/sec, CrossEntropy=1.446689, SmoothL1=0.590054, accuracy=0.875447 [Epoch 172][Batch 499], Speed: 69.627102 samples/sec, CrossEntropy=1.447371, SmoothL1=0.591678, accuracy=0.875328 [Epoch 172] Training cost: 240.591977, CrossEntropy=1.449537, SmoothL1=0.592608, accuracy=0.875081 [Epoch 172] Validation: aeroplane=0.848197 bicycle=0.874458 bird=0.801944 boat=0.733342 bottle=0.615605 bus=0.861753 car=0.879668 cat=0.877526 chair=0.647684 cow=0.828874 diningtable=0.768201 dog=0.853189 horse=0.879939 motorbike=0.857253 person=0.815943 pottedplant=0.532944 sheep=0.830337 sofa=0.829641 train=0.868521 tvmonitor=0.775897 mAP=0.799046 [Epoch 173][Batch 99], Speed: 70.161265 samples/sec, CrossEntropy=1.439792, SmoothL1=0.577891, accuracy=0.876524 [Epoch 173][Batch 199], Speed: 73.031341 samples/sec, CrossEntropy=1.444908, SmoothL1=0.582918, accuracy=0.875448 [Epoch 173][Batch 299], Speed: 73.468158 samples/sec, CrossEntropy=1.440852, SmoothL1=0.583172, accuracy=0.875636 [Epoch 173][Batch 399], Speed: 70.086305 samples/sec, CrossEntropy=1.445691, SmoothL1=0.587455, accuracy=0.875244 [Epoch 173][Batch 499], Speed: 74.933202 samples/sec, CrossEntropy=1.442513, SmoothL1=0.588719, accuracy=0.875617 [Epoch 173] Training cost: 241.189766, CrossEntropy=1.442223, SmoothL1=0.589377, accuracy=0.875679 [Epoch 173] Validation: aeroplane=0.841496 bicycle=0.868881 bird=0.791343 boat=0.727408 bottle=0.596771 bus=0.855477 car=0.879335 cat=0.882294 chair=0.647010 cow=0.841400 diningtable=0.763574 dog=0.856049 horse=0.867606 motorbike=0.853270 person=0.817630 pottedplant=0.529222 sheep=0.834814 sofa=0.816843 train=0.872940 tvmonitor=0.783159 mAP=0.796326 [Epoch 174][Batch 99], Speed: 70.693409 samples/sec, CrossEntropy=1.419394, SmoothL1=0.595045, accuracy=0.877065 [Epoch 174][Batch 199], Speed: 71.951333 samples/sec, CrossEntropy=1.429068, SmoothL1=0.600591, accuracy=0.876352 [Epoch 174][Batch 299], Speed: 69.782765 samples/sec, CrossEntropy=1.430753, SmoothL1=0.595746, accuracy=0.876055 [Epoch 174][Batch 399], Speed: 69.824478 samples/sec, CrossEntropy=1.434860, SmoothL1=0.592781, accuracy=0.875630 [Epoch 174][Batch 499], Speed: 74.134150 samples/sec, CrossEntropy=1.435361, SmoothL1=0.593095, accuracy=0.875492 [Epoch 174] Training cost: 241.745912, CrossEntropy=1.435644, SmoothL1=0.593090, accuracy=0.875497 [Epoch 174] Validation: aeroplane=0.847843 bicycle=0.872371 bird=0.798051 boat=0.731850 bottle=0.610279 bus=0.854011 car=0.880392 cat=0.882287 chair=0.657382 cow=0.837683 diningtable=0.769966 dog=0.859732 horse=0.871318 motorbike=0.853828 person=0.817863 pottedplant=0.526185 sheep=0.829288 sofa=0.808427 train=0.857771 tvmonitor=0.787726 mAP=0.797713 [Epoch 175][Batch 99], Speed: 71.846186 samples/sec, CrossEntropy=1.412365, SmoothL1=0.560667, accuracy=0.877429 [Epoch 175][Batch 199], Speed: 73.364188 samples/sec, CrossEntropy=1.433389, SmoothL1=0.581999, accuracy=0.875222 [Epoch 175][Batch 299], Speed: 69.446539 samples/sec, CrossEntropy=1.442576, SmoothL1=0.583838, accuracy=0.874673 [Epoch 175][Batch 399], Speed: 72.021949 samples/sec, CrossEntropy=1.440535, SmoothL1=0.583549, accuracy=0.875147 [Epoch 175][Batch 499], Speed: 76.374678 samples/sec, CrossEntropy=1.441298, SmoothL1=0.582078, accuracy=0.875135 [Epoch 175] Training cost: 240.877617, CrossEntropy=1.439725, SmoothL1=0.581123, accuracy=0.875284 [Epoch 175] Validation: aeroplane=0.855441 bicycle=0.874448 bird=0.801547 boat=0.733749 bottle=0.605696 bus=0.851960 car=0.877648 cat=0.881954 chair=0.655606 cow=0.836367 diningtable=0.764407 dog=0.860650 horse=0.871014 motorbike=0.853868 person=0.814962 pottedplant=0.540224 sheep=0.826013 sofa=0.822621 train=0.867012 tvmonitor=0.786525 mAP=0.799086 [Epoch 176][Batch 99], Speed: 70.890406 samples/sec, CrossEntropy=1.437860, SmoothL1=0.578385, accuracy=0.875515 [Epoch 176][Batch 199], Speed: 71.126931 samples/sec, CrossEntropy=1.437972, SmoothL1=0.586686, accuracy=0.875586 [Epoch 176][Batch 299], Speed: 67.911270 samples/sec, CrossEntropy=1.441460, SmoothL1=0.585989, accuracy=0.875209 [Epoch 176][Batch 399], Speed: 72.857108 samples/sec, CrossEntropy=1.442865, SmoothL1=0.586515, accuracy=0.875057 [Epoch 176][Batch 499], Speed: 76.881855 samples/sec, CrossEntropy=1.438873, SmoothL1=0.588043, accuracy=0.875346 [Epoch 176] Training cost: 241.309278, CrossEntropy=1.437619, SmoothL1=0.589608, accuracy=0.875338 [Epoch 176] Validation: aeroplane=0.846492 bicycle=0.870309 bird=0.805826 boat=0.734540 bottle=0.601111 bus=0.856382 car=0.878117 cat=0.880323 chair=0.655925 cow=0.831398 diningtable=0.755203 dog=0.862461 horse=0.872099 motorbike=0.852523 person=0.814232 pottedplant=0.523563 sheep=0.818769 sofa=0.819135 train=0.862135 tvmonitor=0.788128 mAP=0.796434 [Epoch 177][Batch 99], Speed: 69.102364 samples/sec, CrossEntropy=1.391448, SmoothL1=0.564039, accuracy=0.878014 [Epoch 177][Batch 199], Speed: 68.037335 samples/sec, CrossEntropy=1.411503, SmoothL1=0.574486, accuracy=0.876734 [Epoch 177][Batch 299], Speed: 71.744069 samples/sec, CrossEntropy=1.419610, SmoothL1=0.582339, accuracy=0.876561 [Epoch 177][Batch 399], Speed: 70.786618 samples/sec, CrossEntropy=1.424395, SmoothL1=0.582322, accuracy=0.876428 [Epoch 177][Batch 499], Speed: 74.397308 samples/sec, CrossEntropy=1.434358, SmoothL1=0.586699, accuracy=0.876008 [Epoch 177] Training cost: 241.437018, CrossEntropy=1.434454, SmoothL1=0.585939, accuracy=0.875911 [Epoch 177] Validation: aeroplane=0.848234 bicycle=0.876360 bird=0.805020 boat=0.727099 bottle=0.606394 bus=0.855152 car=0.881356 cat=0.877883 chair=0.656541 cow=0.824016 diningtable=0.759762 dog=0.853908 horse=0.866216 motorbike=0.853831 person=0.817087 pottedplant=0.534440 sheep=0.821925 sofa=0.829324 train=0.864689 tvmonitor=0.784310 mAP=0.797177 [Epoch 178][Batch 99], Speed: 72.208518 samples/sec, CrossEntropy=1.411389, SmoothL1=0.570791, accuracy=0.877846 [Epoch 178][Batch 199], Speed: 70.801629 samples/sec, CrossEntropy=1.410544, SmoothL1=0.564713, accuracy=0.877344 [Epoch 178][Batch 299], Speed: 73.523656 samples/sec, CrossEntropy=1.430224, SmoothL1=0.582316, accuracy=0.875920 [Epoch 178][Batch 399], Speed: 72.516178 samples/sec, CrossEntropy=1.435985, SmoothL1=0.584760, accuracy=0.875647 [Epoch 178][Batch 499], Speed: 78.209580 samples/sec, CrossEntropy=1.434426, SmoothL1=0.585657, accuracy=0.875540 [Epoch 178] Training cost: 240.914999, CrossEntropy=1.435143, SmoothL1=0.585395, accuracy=0.875469 [Epoch 178] Validation: aeroplane=0.850458 bicycle=0.871374 bird=0.805681 boat=0.732300 bottle=0.610761 bus=0.853366 car=0.880322 cat=0.887746 chair=0.653485 cow=0.832089 diningtable=0.751074 dog=0.858910 horse=0.871915 motorbike=0.857711 person=0.816982 pottedplant=0.543497 sheep=0.826834 sofa=0.822784 train=0.861718 tvmonitor=0.779408 mAP=0.798421 [Epoch 179][Batch 99], Speed: 70.097213 samples/sec, CrossEntropy=1.420978, SmoothL1=0.572417, accuracy=0.875817 [Epoch 179][Batch 199], Speed: 71.433521 samples/sec, CrossEntropy=1.418426, SmoothL1=0.577018, accuracy=0.875810 [Epoch 179][Batch 299], Speed: 68.906108 samples/sec, CrossEntropy=1.421415, SmoothL1=0.580544, accuracy=0.875829 [Epoch 179][Batch 399], Speed: 67.041253 samples/sec, CrossEntropy=1.440156, SmoothL1=0.586420, accuracy=0.875205 [Epoch 179][Batch 499], Speed: 76.115108 samples/sec, CrossEntropy=1.435298, SmoothL1=0.583478, accuracy=0.875797 [Epoch 179] Training cost: 240.711713, CrossEntropy=1.433559, SmoothL1=0.581334, accuracy=0.875925 [Epoch 179] Validation: aeroplane=0.844440 bicycle=0.875827 bird=0.801327 boat=0.734104 bottle=0.615783 bus=0.861443 car=0.878711 cat=0.884433 chair=0.643919 cow=0.827311 diningtable=0.765075 dog=0.858282 horse=0.877023 motorbike=0.853614 person=0.818464 pottedplant=0.546773 sheep=0.823109 sofa=0.815971 train=0.877940 tvmonitor=0.783383 mAP=0.799347 [Epoch 180][Batch 99], Speed: 65.098208 samples/sec, CrossEntropy=1.402530, SmoothL1=0.573677, accuracy=0.878913 [Epoch 180][Batch 199], Speed: 72.889790 samples/sec, CrossEntropy=1.418060, SmoothL1=0.581234, accuracy=0.877462 [Epoch 180][Batch 299], Speed: 69.161508 samples/sec, CrossEntropy=1.410972, SmoothL1=0.575013, accuracy=0.878120 [Epoch 180][Batch 399], Speed: 71.425538 samples/sec, CrossEntropy=1.416942, SmoothL1=0.572931, accuracy=0.877750 [Epoch 180][Batch 499], Speed: 77.985638 samples/sec, CrossEntropy=1.412103, SmoothL1=0.570062, accuracy=0.878217 [Epoch 180] Training cost: 240.214254, CrossEntropy=1.413650, SmoothL1=0.570946, accuracy=0.878140 [Epoch 180] Validation: aeroplane=0.848026 bicycle=0.874964 bird=0.802294 boat=0.735494 bottle=0.605167 bus=0.861904 car=0.882020 cat=0.886202 chair=0.653566 cow=0.831916 diningtable=0.746636 dog=0.865306 horse=0.870084 motorbike=0.854975 person=0.818238 pottedplant=0.540465 sheep=0.829067 sofa=0.822842 train=0.870613 tvmonitor=0.788752 mAP=0.799427 [Epoch 181][Batch 99], Speed: 72.139668 samples/sec, CrossEntropy=1.436910, SmoothL1=0.580433, accuracy=0.875663 [Epoch 181][Batch 199], Speed: 72.128270 samples/sec, CrossEntropy=1.446269, SmoothL1=0.592986, accuracy=0.874977 [Epoch 181][Batch 299], Speed: 72.987020 samples/sec, CrossEntropy=1.439129, SmoothL1=0.589376, accuracy=0.875725 [Epoch 181][Batch 399], Speed: 71.303961 samples/sec, CrossEntropy=1.440262, SmoothL1=0.588211, accuracy=0.875774 [Epoch 181][Batch 499], Speed: 73.675689 samples/sec, CrossEntropy=1.433619, SmoothL1=0.584562, accuracy=0.876292 [Epoch 181] Training cost: 241.408063, CrossEntropy=1.434169, SmoothL1=0.584306, accuracy=0.876242 [Epoch 181] Validation: aeroplane=0.848777 bicycle=0.878411 bird=0.803614 boat=0.742285 bottle=0.600434 bus=0.859654 car=0.879289 cat=0.888159 chair=0.657123 cow=0.841285 diningtable=0.759157 dog=0.865483 horse=0.864273 motorbike=0.858887 person=0.818363 pottedplant=0.548705 sheep=0.827817 sofa=0.817055 train=0.869140 tvmonitor=0.778298 mAP=0.800311 [Epoch 182][Batch 99], Speed: 66.387563 samples/sec, CrossEntropy=1.392437, SmoothL1=0.578959, accuracy=0.879656 [Epoch 182][Batch 199], Speed: 71.091668 samples/sec, CrossEntropy=1.404561, SmoothL1=0.585333, accuracy=0.878626 [Epoch 182][Batch 299], Speed: 70.583922 samples/sec, CrossEntropy=1.412343, SmoothL1=0.582497, accuracy=0.878046 [Epoch 182][Batch 399], Speed: 69.856640 samples/sec, CrossEntropy=1.419254, SmoothL1=0.580996, accuracy=0.877505 [Epoch 182][Batch 499], Speed: 76.752598 samples/sec, CrossEntropy=1.420985, SmoothL1=0.579989, accuracy=0.877398 [Epoch 182] Training cost: 241.304976, CrossEntropy=1.421822, SmoothL1=0.579646, accuracy=0.877364 [Epoch 182] Validation: aeroplane=0.834543 bicycle=0.877515 bird=0.808024 boat=0.718245 bottle=0.605943 bus=0.867950 car=0.880029 cat=0.893322 chair=0.659153 cow=0.837048 diningtable=0.754226 dog=0.862743 horse=0.870995 motorbike=0.857240 person=0.819771 pottedplant=0.541704 sheep=0.829633 sofa=0.823422 train=0.868560 tvmonitor=0.791888 mAP=0.800098 [Epoch 183][Batch 99], Speed: 74.069100 samples/sec, CrossEntropy=1.406157, SmoothL1=0.584258, accuracy=0.877699 [Epoch 183][Batch 199], Speed: 71.035982 samples/sec, CrossEntropy=1.407270, SmoothL1=0.582493, accuracy=0.878355 [Epoch 183][Batch 299], Speed: 71.768046 samples/sec, CrossEntropy=1.405889, SmoothL1=0.579495, accuracy=0.878254 [Epoch 183][Batch 399], Speed: 73.232891 samples/sec, CrossEntropy=1.403074, SmoothL1=0.574109, accuracy=0.878394 [Epoch 183][Batch 499], Speed: 77.985411 samples/sec, CrossEntropy=1.405171, SmoothL1=0.572541, accuracy=0.878151 [Epoch 183] Training cost: 240.546764, CrossEntropy=1.405538, SmoothL1=0.571999, accuracy=0.878133 [Epoch 183] Validation: aeroplane=0.854774 bicycle=0.878037 bird=0.805887 boat=0.723222 bottle=0.614102 bus=0.861768 car=0.879637 cat=0.883901 chair=0.659941 cow=0.834981 diningtable=0.745409 dog=0.858467 horse=0.879300 motorbike=0.855273 person=0.821582 pottedplant=0.539009 sheep=0.833478 sofa=0.822510 train=0.868212 tvmonitor=0.788960 mAP=0.800422 [Epoch 184][Batch 99], Speed: 68.396671 samples/sec, CrossEntropy=1.424579, SmoothL1=0.586698, accuracy=0.876642 [Epoch 184][Batch 199], Speed: 72.695396 samples/sec, CrossEntropy=1.410543, SmoothL1=0.573195, accuracy=0.877670 [Epoch 184][Batch 299], Speed: 71.106055 samples/sec, CrossEntropy=1.417122, SmoothL1=0.575214, accuracy=0.877199 [Epoch 184][Batch 399], Speed: 73.220506 samples/sec, CrossEntropy=1.422567, SmoothL1=0.582594, accuracy=0.876845 [Epoch 184][Batch 499], Speed: 74.565653 samples/sec, CrossEntropy=1.420842, SmoothL1=0.578062, accuracy=0.876997 [Epoch 184] Training cost: 240.397204, CrossEntropy=1.419534, SmoothL1=0.577405, accuracy=0.877127 [Epoch 184] Validation: aeroplane=0.853138 bicycle=0.874925 bird=0.804744 boat=0.737110 bottle=0.609177 bus=0.851745 car=0.878925 cat=0.883921 chair=0.654726 cow=0.840808 diningtable=0.744942 dog=0.862158 horse=0.872513 motorbike=0.856553 person=0.814640 pottedplant=0.528614 sheep=0.834111 sofa=0.812034 train=0.877129 tvmonitor=0.787163 mAP=0.798954 [Epoch 185][Batch 99], Speed: 70.096115 samples/sec, CrossEntropy=1.395332, SmoothL1=0.569495, accuracy=0.879016 [Epoch 185][Batch 199], Speed: 67.264615 samples/sec, CrossEntropy=1.401058, SmoothL1=0.574161, accuracy=0.878530 [Epoch 185][Batch 299], Speed: 70.487062 samples/sec, CrossEntropy=1.403680, SmoothL1=0.571836, accuracy=0.878592 [Epoch 185][Batch 399], Speed: 72.990711 samples/sec, CrossEntropy=1.417403, SmoothL1=0.576119, accuracy=0.877774 [Epoch 185][Batch 499], Speed: 70.116219 samples/sec, CrossEntropy=1.417634, SmoothL1=0.577484, accuracy=0.877701 [Epoch 185] Training cost: 241.157874, CrossEntropy=1.417861, SmoothL1=0.577701, accuracy=0.877650 [Epoch 185] Validation: aeroplane=0.842534 bicycle=0.874251 bird=0.801712 boat=0.732407 bottle=0.615955 bus=0.855247 car=0.880457 cat=0.883447 chair=0.656649 cow=0.837202 diningtable=0.748030 dog=0.868622 horse=0.867671 motorbike=0.856992 person=0.813526 pottedplant=0.536566 sheep=0.835735 sofa=0.822963 train=0.872482 tvmonitor=0.786465 mAP=0.799446 [Epoch 186][Batch 99], Speed: 73.042191 samples/sec, CrossEntropy=1.391985, SmoothL1=0.563918, accuracy=0.879692 [Epoch 186][Batch 199], Speed: 69.174947 samples/sec, CrossEntropy=1.402952, SmoothL1=0.571901, accuracy=0.879238 [Epoch 186][Batch 299], Speed: 71.662592 samples/sec, CrossEntropy=1.404311, SmoothL1=0.568941, accuracy=0.879048 [Epoch 186][Batch 399], Speed: 73.217830 samples/sec, CrossEntropy=1.412275, SmoothL1=0.567464, accuracy=0.878267 [Epoch 186][Batch 499], Speed: 74.423091 samples/sec, CrossEntropy=1.406691, SmoothL1=0.563807, accuracy=0.878576 [Epoch 186] Training cost: 240.416128, CrossEntropy=1.409614, SmoothL1=0.566033, accuracy=0.878369 [Epoch 186] Validation: aeroplane=0.837145 bicycle=0.873446 bird=0.809521 boat=0.732114 bottle=0.620060 bus=0.856476 car=0.878394 cat=0.878085 chair=0.648848 cow=0.840593 diningtable=0.769400 dog=0.863130 horse=0.872521 motorbike=0.852301 person=0.816586 pottedplant=0.545990 sheep=0.839953 sofa=0.815924 train=0.869139 tvmonitor=0.777845 mAP=0.799873 [Epoch 187][Batch 99], Speed: 71.568971 samples/sec, CrossEntropy=1.409393, SmoothL1=0.557812, accuracy=0.879376 [Epoch 187][Batch 199], Speed: 69.704774 samples/sec, CrossEntropy=1.392790, SmoothL1=0.562110, accuracy=0.879909 [Epoch 187][Batch 299], Speed: 74.424824 samples/sec, CrossEntropy=1.406104, SmoothL1=0.572113, accuracy=0.879097 [Epoch 187][Batch 399], Speed: 61.518578 samples/sec, CrossEntropy=1.409166, SmoothL1=0.571764, accuracy=0.878626 [Epoch 187][Batch 499], Speed: 75.261152 samples/sec, CrossEntropy=1.407820, SmoothL1=0.570297, accuracy=0.878427 [Epoch 187] Training cost: 241.499820, CrossEntropy=1.406413, SmoothL1=0.569658, accuracy=0.878614 [Epoch 187] Validation: aeroplane=0.841854 bicycle=0.875757 bird=0.804281 boat=0.729689 bottle=0.620002 bus=0.856986 car=0.878000 cat=0.880760 chair=0.649008 cow=0.842532 diningtable=0.750370 dog=0.860458 horse=0.868603 motorbike=0.855888 person=0.815398 pottedplant=0.539271 sheep=0.834658 sofa=0.811716 train=0.876650 tvmonitor=0.793646 mAP=0.799276 [Epoch 188][Batch 99], Speed: 68.313609 samples/sec, CrossEntropy=1.389638, SmoothL1=0.558013, accuracy=0.881269 [Epoch 188][Batch 199], Speed: 73.212998 samples/sec, CrossEntropy=1.392559, SmoothL1=0.564171, accuracy=0.879712 [Epoch 188][Batch 299], Speed: 70.744494 samples/sec, CrossEntropy=1.407586, SmoothL1=0.572101, accuracy=0.877851 [Epoch 188][Batch 399], Speed: 71.676867 samples/sec, CrossEntropy=1.411731, SmoothL1=0.573371, accuracy=0.877629 [Epoch 188][Batch 499], Speed: 77.416794 samples/sec, CrossEntropy=1.408903, SmoothL1=0.572946, accuracy=0.877989 [Epoch 188] Training cost: 240.681835, CrossEntropy=1.411721, SmoothL1=0.573443, accuracy=0.877760 [Epoch 188] Validation: aeroplane=0.835191 bicycle=0.876761 bird=0.801422 boat=0.733205 bottle=0.609259 bus=0.855670 car=0.877101 cat=0.882747 chair=0.647029 cow=0.836302 diningtable=0.758938 dog=0.860886 horse=0.878019 motorbike=0.853729 person=0.817689 pottedplant=0.531019 sheep=0.837351 sofa=0.808018 train=0.865900 tvmonitor=0.785422 mAP=0.797583 [Epoch 189][Batch 99], Speed: 70.836119 samples/sec, CrossEntropy=1.402032, SmoothL1=0.567504, accuracy=0.878311 [Epoch 189][Batch 199], Speed: 73.531269 samples/sec, CrossEntropy=1.402932, SmoothL1=0.569592, accuracy=0.878663 [Epoch 189][Batch 299], Speed: 69.230073 samples/sec, CrossEntropy=1.400603, SmoothL1=0.572831, accuracy=0.878796 [Epoch 189][Batch 399], Speed: 67.492763 samples/sec, CrossEntropy=1.404051, SmoothL1=0.572379, accuracy=0.878448 [Epoch 189][Batch 499], Speed: 67.162560 samples/sec, CrossEntropy=1.403664, SmoothL1=0.569339, accuracy=0.878510 [Epoch 189] Training cost: 241.162551, CrossEntropy=1.403838, SmoothL1=0.570075, accuracy=0.878545 [Epoch 189] Validation: aeroplane=0.857226 bicycle=0.872594 bird=0.807135 boat=0.733125 bottle=0.616231 bus=0.852892 car=0.878788 cat=0.886533 chair=0.644481 cow=0.843090 diningtable=0.753632 dog=0.864991 horse=0.875285 motorbike=0.854964 person=0.819487 pottedplant=0.526464 sheep=0.836492 sofa=0.804964 train=0.873429 tvmonitor=0.789507 mAP=0.799566 [Epoch 190][Batch 99], Speed: 67.602395 samples/sec, CrossEntropy=1.388736, SmoothL1=0.578154, accuracy=0.879517 [Epoch 190][Batch 199], Speed: 70.843784 samples/sec, CrossEntropy=1.392447, SmoothL1=0.576075, accuracy=0.879613 [Epoch 190][Batch 299], Speed: 68.374894 samples/sec, CrossEntropy=1.399877, SmoothL1=0.578281, accuracy=0.879355 [Epoch 190][Batch 399], Speed: 70.099373 samples/sec, CrossEntropy=1.399559, SmoothL1=0.571212, accuracy=0.879674 [Epoch 190][Batch 499], Speed: 78.363006 samples/sec, CrossEntropy=1.401135, SmoothL1=0.571753, accuracy=0.879297 [Epoch 190] Training cost: 240.818758, CrossEntropy=1.401222, SmoothL1=0.572401, accuracy=0.879282 [Epoch 190] Validation: aeroplane=0.851327 bicycle=0.872374 bird=0.813684 boat=0.718854 bottle=0.608297 bus=0.853910 car=0.878204 cat=0.884730 chair=0.643315 cow=0.851741 diningtable=0.769167 dog=0.863402 horse=0.874371 motorbike=0.858482 person=0.820243 pottedplant=0.532242 sheep=0.827527 sofa=0.808404 train=0.873434 tvmonitor=0.791596 mAP=0.799765 [Epoch 191][Batch 99], Speed: 71.092760 samples/sec, CrossEntropy=1.386096, SmoothL1=0.565733, accuracy=0.878659 [Epoch 191][Batch 199], Speed: 72.422425 samples/sec, CrossEntropy=1.395081, SmoothL1=0.567212, accuracy=0.877935 [Epoch 191][Batch 299], Speed: 69.952394 samples/sec, CrossEntropy=1.389926, SmoothL1=0.564942, accuracy=0.878856 [Epoch 191][Batch 399], Speed: 69.932056 samples/sec, CrossEntropy=1.387811, SmoothL1=0.561444, accuracy=0.879303 [Epoch 191][Batch 499], Speed: 71.255204 samples/sec, CrossEntropy=1.390957, SmoothL1=0.562968, accuracy=0.879090 [Epoch 191] Training cost: 240.847715, CrossEntropy=1.394446, SmoothL1=0.564178, accuracy=0.878866 [Epoch 191] Validation: aeroplane=0.863493 bicycle=0.871347 bird=0.809646 boat=0.726052 bottle=0.604374 bus=0.856142 car=0.881468 cat=0.885371 chair=0.659058 cow=0.844244 diningtable=0.752681 dog=0.860823 horse=0.873979 motorbike=0.860957 person=0.815242 pottedplant=0.534082 sheep=0.824398 sofa=0.813382 train=0.873337 tvmonitor=0.788551 mAP=0.799931 [Epoch 192][Batch 99], Speed: 67.066411 samples/sec, CrossEntropy=1.393545, SmoothL1=0.583917, accuracy=0.879727 [Epoch 192][Batch 199], Speed: 71.653601 samples/sec, CrossEntropy=1.398189, SmoothL1=0.591166, accuracy=0.879153 [Epoch 192][Batch 299], Speed: 70.280261 samples/sec, CrossEntropy=1.394325, SmoothL1=0.583210, accuracy=0.879312 [Epoch 192][Batch 399], Speed: 72.376888 samples/sec, CrossEntropy=1.402327, SmoothL1=0.583337, accuracy=0.878690 [Epoch 192][Batch 499], Speed: 74.922117 samples/sec, CrossEntropy=1.401489, SmoothL1=0.578980, accuracy=0.878927 [Epoch 192] Training cost: 241.061261, CrossEntropy=1.400692, SmoothL1=0.577792, accuracy=0.879080 [Epoch 192] Validation: aeroplane=0.844902 bicycle=0.876683 bird=0.811367 boat=0.733973 bottle=0.606496 bus=0.854961 car=0.881864 cat=0.877428 chair=0.646690 cow=0.846859 diningtable=0.759710 dog=0.861013 horse=0.874650 motorbike=0.858469 person=0.816248 pottedplant=0.533885 sheep=0.824637 sofa=0.814310 train=0.868699 tvmonitor=0.785262 mAP=0.798905 [Epoch 193][Batch 99], Speed: 69.985112 samples/sec, CrossEntropy=1.368604, SmoothL1=0.559621, accuracy=0.881383 [Epoch 193][Batch 199], Speed: 70.115486 samples/sec, CrossEntropy=1.390064, SmoothL1=0.568294, accuracy=0.880036 [Epoch 193][Batch 299], Speed: 70.569152 samples/sec, CrossEntropy=1.395699, SmoothL1=0.569380, accuracy=0.879500 [Epoch 193][Batch 399], Speed: 73.179147 samples/sec, CrossEntropy=1.400113, SmoothL1=0.566606, accuracy=0.878898 [Epoch 193][Batch 499], Speed: 77.601341 samples/sec, CrossEntropy=1.403859, SmoothL1=0.567335, accuracy=0.878588 [Epoch 193] Training cost: 240.503921, CrossEntropy=1.404518, SmoothL1=0.567054, accuracy=0.878637 [Epoch 193] Validation: aeroplane=0.854828 bicycle=0.873550 bird=0.807268 boat=0.737033 bottle=0.611509 bus=0.849091 car=0.879203 cat=0.883268 chair=0.648182 cow=0.842388 diningtable=0.756757 dog=0.863094 horse=0.876020 motorbike=0.853387 person=0.818746 pottedplant=0.543149 sheep=0.825690 sofa=0.815522 train=0.872479 tvmonitor=0.782534 mAP=0.799685 [Epoch 194][Batch 99], Speed: 72.392620 samples/sec, CrossEntropy=1.401688, SmoothL1=0.582412, accuracy=0.879538 [Epoch 194][Batch 199], Speed: 67.964090 samples/sec, CrossEntropy=1.390753, SmoothL1=0.579369, accuracy=0.879919 [Epoch 194][Batch 299], Speed: 70.707300 samples/sec, CrossEntropy=1.401041, SmoothL1=0.579334, accuracy=0.878632 [Epoch 194][Batch 399], Speed: 72.466884 samples/sec, CrossEntropy=1.398121, SmoothL1=0.573987, accuracy=0.878776 [Epoch 194][Batch 499], Speed: 77.828223 samples/sec, CrossEntropy=1.392313, SmoothL1=0.568610, accuracy=0.879302 [Epoch 194] Training cost: 241.106534, CrossEntropy=1.391787, SmoothL1=0.567543, accuracy=0.879275 [Epoch 194] Validation: aeroplane=0.854953 bicycle=0.873995 bird=0.814978 boat=0.730200 bottle=0.608289 bus=0.862441 car=0.881686 cat=0.887264 chair=0.650906 cow=0.837945 diningtable=0.753161 dog=0.866686 horse=0.873668 motorbike=0.857632 person=0.819674 pottedplant=0.532457 sheep=0.835856 sofa=0.820586 train=0.863402 tvmonitor=0.795563 mAP=0.801067 [Epoch 195][Batch 99], Speed: 72.318664 samples/sec, CrossEntropy=1.345102, SmoothL1=0.553859, accuracy=0.883703 [Epoch 195][Batch 199], Speed: 71.337805 samples/sec, CrossEntropy=1.378557, SmoothL1=0.563527, accuracy=0.881318 [Epoch 195][Batch 299], Speed: 64.526141 samples/sec, CrossEntropy=1.390985, SmoothL1=0.569530, accuracy=0.880603 [Epoch 195][Batch 399], Speed: 66.352873 samples/sec, CrossEntropy=1.392781, SmoothL1=0.566976, accuracy=0.880176 [Epoch 195][Batch 499], Speed: 74.923037 samples/sec, CrossEntropy=1.391794, SmoothL1=0.566059, accuracy=0.880291 [Epoch 195] Training cost: 240.283746, CrossEntropy=1.392361, SmoothL1=0.566829, accuracy=0.880193 [Epoch 195] Validation: aeroplane=0.849932 bicycle=0.869258 bird=0.809047 boat=0.730648 bottle=0.610194 bus=0.856784 car=0.881872 cat=0.881511 chair=0.641496 cow=0.846025 diningtable=0.758694 dog=0.870130 horse=0.874001 motorbike=0.853477 person=0.820690 pottedplant=0.540422 sheep=0.840662 sofa=0.817399 train=0.881609 tvmonitor=0.784507 mAP=0.800918 [Epoch 196][Batch 99], Speed: 71.742458 samples/sec, CrossEntropy=1.365456, SmoothL1=0.573292, accuracy=0.882380 [Epoch 196][Batch 199], Speed: 72.637956 samples/sec, CrossEntropy=1.371136, SmoothL1=0.575145, accuracy=0.881303 [Epoch 196][Batch 299], Speed: 69.519595 samples/sec, CrossEntropy=1.374923, SmoothL1=0.572525, accuracy=0.880765 [Epoch 196][Batch 399], Speed: 68.595044 samples/sec, CrossEntropy=1.381931, SmoothL1=0.571327, accuracy=0.880356 [Epoch 196][Batch 499], Speed: 77.883140 samples/sec, CrossEntropy=1.381369, SmoothL1=0.568849, accuracy=0.880266 [Epoch 196] Training cost: 241.277443, CrossEntropy=1.382677, SmoothL1=0.569255, accuracy=0.880155 [Epoch 196] Validation: aeroplane=0.854892 bicycle=0.866197 bird=0.807577 boat=0.733538 bottle=0.595783 bus=0.856958 car=0.880759 cat=0.885117 chair=0.652622 cow=0.842169 diningtable=0.777867 dog=0.860752 horse=0.866334 motorbike=0.857271 person=0.820277 pottedplant=0.539274 sheep=0.838211 sofa=0.813875 train=0.866283 tvmonitor=0.796740 mAP=0.800625 [Epoch 197][Batch 99], Speed: 69.353239 samples/sec, CrossEntropy=1.354544, SmoothL1=0.547065, accuracy=0.882647 [Epoch 197][Batch 199], Speed: 70.649536 samples/sec, CrossEntropy=1.369740, SmoothL1=0.561671, accuracy=0.881653 [Epoch 197][Batch 299], Speed: 70.711658 samples/sec, CrossEntropy=1.368719, SmoothL1=0.555855, accuracy=0.881460 [Epoch 197][Batch 399], Speed: 71.187215 samples/sec, CrossEntropy=1.376471, SmoothL1=0.559805, accuracy=0.880560 [Epoch 197][Batch 499], Speed: 75.254063 samples/sec, CrossEntropy=1.375867, SmoothL1=0.556040, accuracy=0.880824 [Epoch 197] Training cost: 240.465497, CrossEntropy=1.377817, SmoothL1=0.556157, accuracy=0.880574 [Epoch 197] Validation: aeroplane=0.832647 bicycle=0.871627 bird=0.801844 boat=0.733301 bottle=0.603617 bus=0.853274 car=0.881495 cat=0.883071 chair=0.656411 cow=0.840233 diningtable=0.772363 dog=0.863338 horse=0.869450 motorbike=0.858807 person=0.819365 pottedplant=0.538887 sheep=0.831924 sofa=0.819279 train=0.879236 tvmonitor=0.790119 mAP=0.800014 [Epoch 198][Batch 99], Speed: 71.735211 samples/sec, CrossEntropy=1.383531, SmoothL1=0.559872, accuracy=0.879181 [Epoch 198][Batch 199], Speed: 73.019342 samples/sec, CrossEntropy=1.388749, SmoothL1=0.563581, accuracy=0.879173 [Epoch 198][Batch 299], Speed: 71.165059 samples/sec, CrossEntropy=1.385713, SmoothL1=0.560733, accuracy=0.879628 [Epoch 198][Batch 399], Speed: 71.594931 samples/sec, CrossEntropy=1.389029, SmoothL1=0.561720, accuracy=0.879240 [Epoch 198][Batch 499], Speed: 73.846549 samples/sec, CrossEntropy=1.390344, SmoothL1=0.562138, accuracy=0.879459 [Epoch 198] Training cost: 240.422517, CrossEntropy=1.391005, SmoothL1=0.562819, accuracy=0.879443 [Epoch 198] Validation: aeroplane=0.861676 bicycle=0.858730 bird=0.808572 boat=0.736668 bottle=0.596535 bus=0.855232 car=0.880426 cat=0.887946 chair=0.660825 cow=0.841993 diningtable=0.776609 dog=0.866306 horse=0.866104 motorbike=0.852589 person=0.816996 pottedplant=0.537234 sheep=0.832890 sofa=0.813459 train=0.865505 tvmonitor=0.787712 mAP=0.800200 [Epoch 199][Batch 99], Speed: 69.680167 samples/sec, CrossEntropy=1.364342, SmoothL1=0.546214, accuracy=0.881266 [Epoch 199][Batch 199], Speed: 70.881459 samples/sec, CrossEntropy=1.374137, SmoothL1=0.563257, accuracy=0.880325 [Epoch 199][Batch 299], Speed: 71.603448 samples/sec, CrossEntropy=1.381296, SmoothL1=0.564063, accuracy=0.879697 [Epoch 199][Batch 399], Speed: 70.679151 samples/sec, CrossEntropy=1.382740, SmoothL1=0.564829, accuracy=0.879694 [Epoch 199][Batch 499], Speed: 72.685987 samples/sec, CrossEntropy=1.387564, SmoothL1=0.564728, accuracy=0.879540 [Epoch 199] Training cost: 241.186044, CrossEntropy=1.390235, SmoothL1=0.565331, accuracy=0.879312 [Epoch 199] Validation: aeroplane=0.844160 bicycle=0.866422 bird=0.820271 boat=0.738615 bottle=0.605687 bus=0.856033 car=0.878501 cat=0.887141 chair=0.657113 cow=0.843290 diningtable=0.777004 dog=0.864999 horse=0.870228 motorbike=0.859459 person=0.816362 pottedplant=0.534792 sheep=0.839023 sofa=0.812061 train=0.871579 tvmonitor=0.784770 mAP=0.801375 [Epoch 200] Set learning rate to 1e-05 [Epoch 200][Batch 99], Speed: 68.711561 samples/sec, CrossEntropy=1.372785, SmoothL1=0.554904, accuracy=0.881076 [Epoch 200][Batch 199], Speed: 69.121937 samples/sec, CrossEntropy=1.372909, SmoothL1=0.565315, accuracy=0.880722 [Epoch 200][Batch 299], Speed: 70.228741 samples/sec, CrossEntropy=1.371833, SmoothL1=0.564648, accuracy=0.880997 [Epoch 200][Batch 399], Speed: 70.995626 samples/sec, CrossEntropy=1.382369, SmoothL1=0.567022, accuracy=0.880053 [Epoch 200][Batch 499], Speed: 77.907597 samples/sec, CrossEntropy=1.380656, SmoothL1=0.564134, accuracy=0.880005 [Epoch 200] Training cost: 241.231155, CrossEntropy=1.378886, SmoothL1=0.561993, accuracy=0.880130 [Epoch 200] Validation: aeroplane=0.842223 bicycle=0.869023 bird=0.816658 boat=0.733880 bottle=0.599933 bus=0.848371 car=0.879705 cat=0.884022 chair=0.660680 cow=0.849290 diningtable=0.775561 dog=0.864315 horse=0.870718 motorbike=0.853652 person=0.818696 pottedplant=0.537001 sheep=0.837468 sofa=0.816138 train=0.872043 tvmonitor=0.780610 mAP=0.800499 [Epoch 201][Batch 99], Speed: 70.569115 samples/sec, CrossEntropy=1.365434, SmoothL1=0.563338, accuracy=0.881102 [Epoch 201][Batch 199], Speed: 72.077606 samples/sec, CrossEntropy=1.374581, SmoothL1=0.573210, accuracy=0.880728 [Epoch 201][Batch 299], Speed: 71.859880 samples/sec, CrossEntropy=1.379098, SmoothL1=0.567671, accuracy=0.880488 [Epoch 201][Batch 399], Speed: 72.938987 samples/sec, CrossEntropy=1.373491, SmoothL1=0.562435, accuracy=0.881037 [Epoch 201][Batch 499], Speed: 77.054434 samples/sec, CrossEntropy=1.374593, SmoothL1=0.561314, accuracy=0.881095 [Epoch 201] Training cost: 241.303794, CrossEntropy=1.374853, SmoothL1=0.560392, accuracy=0.881088 [Epoch 201] Validation: aeroplane=0.834174 bicycle=0.866825 bird=0.813209 boat=0.731729 bottle=0.604922 bus=0.852201 car=0.880522 cat=0.881990 chair=0.661292 cow=0.851135 diningtable=0.759138 dog=0.862153 horse=0.868637 motorbike=0.857805 person=0.819130 pottedplant=0.538997 sheep=0.844523 sofa=0.813157 train=0.867725 tvmonitor=0.792169 mAP=0.800072 [Epoch 202][Batch 99], Speed: 75.972156 samples/sec, CrossEntropy=1.355910, SmoothL1=0.559633, accuracy=0.882905 [Epoch 202][Batch 199], Speed: 68.957193 samples/sec, CrossEntropy=1.366341, SmoothL1=0.569753, accuracy=0.881814 [Epoch 202][Batch 299], Speed: 72.101302 samples/sec, CrossEntropy=1.370569, SmoothL1=0.567694, accuracy=0.881524 [Epoch 202][Batch 399], Speed: 72.126642 samples/sec, CrossEntropy=1.371279, SmoothL1=0.560083, accuracy=0.881524 [Epoch 202][Batch 499], Speed: 74.030901 samples/sec, CrossEntropy=1.372765, SmoothL1=0.556879, accuracy=0.881424 [Epoch 202] Training cost: 241.537582, CrossEntropy=1.375478, SmoothL1=0.557840, accuracy=0.881241 [Epoch 202] Validation: aeroplane=0.841311 bicycle=0.873404 bird=0.813767 boat=0.736744 bottle=0.596363 bus=0.849279 car=0.880329 cat=0.883056 chair=0.656619 cow=0.848425 diningtable=0.770894 dog=0.865072 horse=0.865876 motorbike=0.855956 person=0.818697 pottedplant=0.536909 sheep=0.841049 sofa=0.816416 train=0.871323 tvmonitor=0.788440 mAP=0.800496 [Epoch 203][Batch 99], Speed: 72.630213 samples/sec, CrossEntropy=1.363309, SmoothL1=0.564216, accuracy=0.881827 [Epoch 203][Batch 199], Speed: 71.185290 samples/sec, CrossEntropy=1.365853, SmoothL1=0.562811, accuracy=0.881690 [Epoch 203][Batch 299], Speed: 71.770310 samples/sec, CrossEntropy=1.380066, SmoothL1=0.566765, accuracy=0.880845 [Epoch 203][Batch 399], Speed: 72.444394 samples/sec, CrossEntropy=1.386720, SmoothL1=0.564502, accuracy=0.880138 [Epoch 203][Batch 499], Speed: 75.486635 samples/sec, CrossEntropy=1.382162, SmoothL1=0.560372, accuracy=0.880453 [Epoch 203] Training cost: 240.673191, CrossEntropy=1.381978, SmoothL1=0.559183, accuracy=0.880566 [Epoch 203] Validation: aeroplane=0.843593 bicycle=0.867186 bird=0.813862 boat=0.739136 bottle=0.602912 bus=0.852394 car=0.878968 cat=0.881119 chair=0.658078 cow=0.848867 diningtable=0.774022 dog=0.864977 horse=0.867053 motorbike=0.855944 person=0.818917 pottedplant=0.538519 sheep=0.838533 sofa=0.813299 train=0.867255 tvmonitor=0.788687 mAP=0.800666 [Epoch 204][Batch 99], Speed: 71.952798 samples/sec, CrossEntropy=1.371047, SmoothL1=0.550772, accuracy=0.881499 [Epoch 204][Batch 199], Speed: 68.502968 samples/sec, CrossEntropy=1.372129, SmoothL1=0.563525, accuracy=0.881065 [Epoch 204][Batch 299], Speed: 72.203935 samples/sec, CrossEntropy=1.373270, SmoothL1=0.562733, accuracy=0.880740 [Epoch 204][Batch 399], Speed: 72.196322 samples/sec, CrossEntropy=1.381706, SmoothL1=0.565965, accuracy=0.880474 [Epoch 204][Batch 499], Speed: 74.720408 samples/sec, CrossEntropy=1.382312, SmoothL1=0.563080, accuracy=0.880355 [Epoch 204] Training cost: 240.331436, CrossEntropy=1.380779, SmoothL1=0.561936, accuracy=0.880409 [Epoch 204] Validation: aeroplane=0.853449 bicycle=0.864194 bird=0.814698 boat=0.734808 bottle=0.610587 bus=0.849563 car=0.880765 cat=0.887086 chair=0.657206 cow=0.837680 diningtable=0.769559 dog=0.863984 horse=0.870545 motorbike=0.850000 person=0.819255 pottedplant=0.543264 sheep=0.835870 sofa=0.812321 train=0.866278 tvmonitor=0.787287 mAP=0.800420 [Epoch 205][Batch 99], Speed: 66.386053 samples/sec, CrossEntropy=1.358530, SmoothL1=0.551620, accuracy=0.882888 [Epoch 205][Batch 199], Speed: 71.046059 samples/sec, CrossEntropy=1.373304, SmoothL1=0.563715, accuracy=0.880873 [Epoch 205][Batch 299], Speed: 72.313599 samples/sec, CrossEntropy=1.371371, SmoothL1=0.561388, accuracy=0.881016 [Epoch 205][Batch 399], Speed: 71.280748 samples/sec, CrossEntropy=1.381897, SmoothL1=0.563804, accuracy=0.880621 [Epoch 205][Batch 499], Speed: 74.775440 samples/sec, CrossEntropy=1.378696, SmoothL1=0.560102, accuracy=0.880959 [Epoch 205] Training cost: 241.218158, CrossEntropy=1.378947, SmoothL1=0.559012, accuracy=0.880932 [Epoch 205] Validation: aeroplane=0.837425 bicycle=0.870261 bird=0.815495 boat=0.742491 bottle=0.606016 bus=0.848460 car=0.879951 cat=0.886411 chair=0.657639 cow=0.848479 diningtable=0.775667 dog=0.863965 horse=0.870586 motorbike=0.859428 person=0.819918 pottedplant=0.536555 sheep=0.838837 sofa=0.822382 train=0.880664 tvmonitor=0.789196 mAP=0.802491 [Epoch 206][Batch 99], Speed: 72.196478 samples/sec, CrossEntropy=1.358339, SmoothL1=0.560356, accuracy=0.882646 [Epoch 206][Batch 199], Speed: 73.091076 samples/sec, CrossEntropy=1.366088, SmoothL1=0.564715, accuracy=0.882206 [Epoch 206][Batch 299], Speed: 69.582018 samples/sec, CrossEntropy=1.369426, SmoothL1=0.565416, accuracy=0.882237 [Epoch 206][Batch 399], Speed: 73.936615 samples/sec, CrossEntropy=1.374278, SmoothL1=0.563815, accuracy=0.881490 [Epoch 206][Batch 499], Speed: 73.893100 samples/sec, CrossEntropy=1.376213, SmoothL1=0.560926, accuracy=0.881364 [Epoch 206] Training cost: 240.632601, CrossEntropy=1.376260, SmoothL1=0.559534, accuracy=0.881354 [Epoch 206] Validation: aeroplane=0.849346 bicycle=0.869481 bird=0.813100 boat=0.735197 bottle=0.603325 bus=0.852418 car=0.878742 cat=0.884617 chair=0.657705 cow=0.842430 diningtable=0.776845 dog=0.862684 horse=0.869800 motorbike=0.857373 person=0.820171 pottedplant=0.539958 sheep=0.839407 sofa=0.814790 train=0.868036 tvmonitor=0.792903 mAP=0.801416 [Epoch 207][Batch 99], Speed: 72.121604 samples/sec, CrossEntropy=1.331810, SmoothL1=0.537160, accuracy=0.884448 [Epoch 207][Batch 199], Speed: 71.447552 samples/sec, CrossEntropy=1.358115, SmoothL1=0.555873, accuracy=0.882311 [Epoch 207][Batch 299], Speed: 69.869441 samples/sec, CrossEntropy=1.365391, SmoothL1=0.559549, accuracy=0.881859 [Epoch 207][Batch 399], Speed: 69.880463 samples/sec, CrossEntropy=1.361219, SmoothL1=0.555376, accuracy=0.882026 [Epoch 207][Batch 499], Speed: 75.256594 samples/sec, CrossEntropy=1.362709, SmoothL1=0.555781, accuracy=0.881897 [Epoch 207] Training cost: 240.644595, CrossEntropy=1.362027, SmoothL1=0.554841, accuracy=0.882017 [Epoch 207] Validation: aeroplane=0.840816 bicycle=0.868545 bird=0.814170 boat=0.739032 bottle=0.603250 bus=0.849232 car=0.881115 cat=0.886927 chair=0.657932 cow=0.846225 diningtable=0.769143 dog=0.865017 horse=0.874116 motorbike=0.862359 person=0.821849 pottedplant=0.545175 sheep=0.839562 sofa=0.815320 train=0.868967 tvmonitor=0.793021 mAP=0.802089 [Epoch 208][Batch 99], Speed: 69.625910 samples/sec, CrossEntropy=1.347573, SmoothL1=0.549000, accuracy=0.884450 [Epoch 208][Batch 199], Speed: 71.290289 samples/sec, CrossEntropy=1.354040, SmoothL1=0.552166, accuracy=0.883118 [Epoch 208][Batch 299], Speed: 72.600355 samples/sec, CrossEntropy=1.350797, SmoothL1=0.554210, accuracy=0.882992 [Epoch 208][Batch 399], Speed: 70.236605 samples/sec, CrossEntropy=1.354849, SmoothL1=0.550593, accuracy=0.882892 [Epoch 208][Batch 499], Speed: 76.067354 samples/sec, CrossEntropy=1.362040, SmoothL1=0.553597, accuracy=0.882333 [Epoch 208] Training cost: 240.018572, CrossEntropy=1.361602, SmoothL1=0.552554, accuracy=0.882302 [Epoch 208] Validation: aeroplane=0.839430 bicycle=0.859464 bird=0.815245 boat=0.730921 bottle=0.606934 bus=0.856273 car=0.881032 cat=0.886441 chair=0.656772 cow=0.847827 diningtable=0.773895 dog=0.865849 horse=0.867732 motorbike=0.860837 person=0.821884 pottedplant=0.542254 sheep=0.830449 sofa=0.809628 train=0.869253 tvmonitor=0.799478 mAP=0.801080 [Epoch 209][Batch 99], Speed: 71.737780 samples/sec, CrossEntropy=1.380096, SmoothL1=0.556597, accuracy=0.880577 [Epoch 209][Batch 199], Speed: 68.360302 samples/sec, CrossEntropy=1.366903, SmoothL1=0.556111, accuracy=0.881279 [Epoch 209][Batch 299], Speed: 69.215507 samples/sec, CrossEntropy=1.358205, SmoothL1=0.548870, accuracy=0.882100 [Epoch 209][Batch 399], Speed: 72.368732 samples/sec, CrossEntropy=1.367175, SmoothL1=0.554614, accuracy=0.881322 [Epoch 209][Batch 499], Speed: 76.834278 samples/sec, CrossEntropy=1.371760, SmoothL1=0.555379, accuracy=0.881012 [Epoch 209] Training cost: 240.802287, CrossEntropy=1.371145, SmoothL1=0.555102, accuracy=0.881044 [Epoch 209] Validation: aeroplane=0.848582 bicycle=0.871872 bird=0.812963 boat=0.734155 bottle=0.608376 bus=0.850793 car=0.879371 cat=0.886567 chair=0.658287 cow=0.843615 diningtable=0.778663 dog=0.862811 horse=0.864530 motorbike=0.858644 person=0.822337 pottedplant=0.539951 sheep=0.832280 sofa=0.808830 train=0.871696 tvmonitor=0.795719 mAP=0.801502 [Epoch 210][Batch 99], Speed: 72.396564 samples/sec, CrossEntropy=1.347721, SmoothL1=0.554001, accuracy=0.884618 [Epoch 210][Batch 199], Speed: 68.893056 samples/sec, CrossEntropy=1.345482, SmoothL1=0.553935, accuracy=0.883703 [Epoch 210][Batch 299], Speed: 65.265505 samples/sec, CrossEntropy=1.340036, SmoothL1=0.549048, accuracy=0.884142 [Epoch 210][Batch 399], Speed: 70.643289 samples/sec, CrossEntropy=1.361334, SmoothL1=0.558514, accuracy=0.882544 [Epoch 210][Batch 499], Speed: 66.739395 samples/sec, CrossEntropy=1.365368, SmoothL1=0.558693, accuracy=0.882143 [Epoch 210] Training cost: 241.194607, CrossEntropy=1.365797, SmoothL1=0.558242, accuracy=0.882068 [Epoch 210] Validation: aeroplane=0.856790 bicycle=0.863336 bird=0.808718 boat=0.735254 bottle=0.607779 bus=0.855957 car=0.881228 cat=0.889699 chair=0.659223 cow=0.847193 diningtable=0.775479 dog=0.864898 horse=0.872101 motorbike=0.859428 person=0.819386 pottedplant=0.545112 sheep=0.838410 sofa=0.818135 train=0.871740 tvmonitor=0.795994 mAP=0.803293 [Epoch 211][Batch 99], Speed: 70.035800 samples/sec, CrossEntropy=1.345537, SmoothL1=0.559469, accuracy=0.883791 [Epoch 211][Batch 199], Speed: 72.322600 samples/sec, CrossEntropy=1.360883, SmoothL1=0.557950, accuracy=0.882146 [Epoch 211][Batch 299], Speed: 71.902380 samples/sec, CrossEntropy=1.362287, SmoothL1=0.556251, accuracy=0.882055 [Epoch 211][Batch 399], Speed: 72.566794 samples/sec, CrossEntropy=1.369170, SmoothL1=0.555377, accuracy=0.881438 [Epoch 211][Batch 499], Speed: 76.737897 samples/sec, CrossEntropy=1.370972, SmoothL1=0.556020, accuracy=0.881627 [Epoch 211] Training cost: 240.667798, CrossEntropy=1.369568, SmoothL1=0.554130, accuracy=0.881777 [Epoch 211] Validation: aeroplane=0.840413 bicycle=0.867906 bird=0.810987 boat=0.741307 bottle=0.615837 bus=0.853774 car=0.878381 cat=0.885440 chair=0.657516 cow=0.848318 diningtable=0.772034 dog=0.867213 horse=0.867032 motorbike=0.859546 person=0.819368 pottedplant=0.534992 sheep=0.832963 sofa=0.814044 train=0.873322 tvmonitor=0.793324 mAP=0.801686 [Epoch 212][Batch 99], Speed: 71.303923 samples/sec, CrossEntropy=1.384682, SmoothL1=0.554752, accuracy=0.880091 [Epoch 212][Batch 199], Speed: 69.938761 samples/sec, CrossEntropy=1.369778, SmoothL1=0.563834, accuracy=0.881129 [Epoch 212][Batch 299], Speed: 74.539937 samples/sec, CrossEntropy=1.370083, SmoothL1=0.555483, accuracy=0.881065 [Epoch 212][Batch 399], Speed: 71.486634 samples/sec, CrossEntropy=1.371757, SmoothL1=0.557861, accuracy=0.880882 [Epoch 212][Batch 499], Speed: 76.273464 samples/sec, CrossEntropy=1.369906, SmoothL1=0.554852, accuracy=0.881308 [Epoch 212] Training cost: 240.596039, CrossEntropy=1.369774, SmoothL1=0.554587, accuracy=0.881321 [Epoch 212] Validation: aeroplane=0.848342 bicycle=0.866759 bird=0.810384 boat=0.733337 bottle=0.612246 bus=0.858504 car=0.881156 cat=0.885120 chair=0.658780 cow=0.846996 diningtable=0.778443 dog=0.862403 horse=0.875462 motorbike=0.856382 person=0.818149 pottedplant=0.535651 sheep=0.834509 sofa=0.812004 train=0.870223 tvmonitor=0.790495 mAP=0.801767 [Epoch 213][Batch 99], Speed: 68.435591 samples/sec, CrossEntropy=1.361987, SmoothL1=0.560013, accuracy=0.881771 [Epoch 213][Batch 199], Speed: 69.834686 samples/sec, CrossEntropy=1.360187, SmoothL1=0.555977, accuracy=0.882298 [Epoch 213][Batch 299], Speed: 68.791328 samples/sec, CrossEntropy=1.364059, SmoothL1=0.554840, accuracy=0.882414 [Epoch 213][Batch 399], Speed: 69.789442 samples/sec, CrossEntropy=1.366921, SmoothL1=0.552858, accuracy=0.881917 [Epoch 213][Batch 499], Speed: 72.992696 samples/sec, CrossEntropy=1.369882, SmoothL1=0.554048, accuracy=0.881932 [Epoch 213] Training cost: 241.235383, CrossEntropy=1.370635, SmoothL1=0.553978, accuracy=0.881938 [Epoch 213] Validation: aeroplane=0.843950 bicycle=0.861280 bird=0.816295 boat=0.735760 bottle=0.610834 bus=0.852962 car=0.881409 cat=0.887586 chair=0.656405 cow=0.850104 diningtable=0.774144 dog=0.866640 horse=0.871620 motorbike=0.857868 person=0.819350 pottedplant=0.533160 sheep=0.836104 sofa=0.811185 train=0.868025 tvmonitor=0.792930 mAP=0.801381 [Epoch 214][Batch 99], Speed: 73.825752 samples/sec, CrossEntropy=1.369644, SmoothL1=0.570398, accuracy=0.881391 [Epoch 214][Batch 199], Speed: 68.079024 samples/sec, CrossEntropy=1.364696, SmoothL1=0.570654, accuracy=0.881749 [Epoch 214][Batch 299], Speed: 71.188499 samples/sec, CrossEntropy=1.364268, SmoothL1=0.565205, accuracy=0.881759 [Epoch 214][Batch 399], Speed: 72.569776 samples/sec, CrossEntropy=1.369003, SmoothL1=0.560944, accuracy=0.881360 [Epoch 214][Batch 499], Speed: 79.864218 samples/sec, CrossEntropy=1.373803, SmoothL1=0.559374, accuracy=0.881096 [Epoch 214] Training cost: 240.948784, CrossEntropy=1.373422, SmoothL1=0.558175, accuracy=0.881089 [Epoch 214] Validation: aeroplane=0.857077 bicycle=0.873546 bird=0.812510 boat=0.731044 bottle=0.607669 bus=0.858053 car=0.881713 cat=0.885999 chair=0.655083 cow=0.846935 diningtable=0.761628 dog=0.867088 horse=0.871579 motorbike=0.854682 person=0.822297 pottedplant=0.547654 sheep=0.829544 sofa=0.814698 train=0.872023 tvmonitor=0.785534 mAP=0.801818 [Epoch 215][Batch 99], Speed: 71.237127 samples/sec, CrossEntropy=1.345444, SmoothL1=0.540395, accuracy=0.884264 [Epoch 215][Batch 199], Speed: 73.602802 samples/sec, CrossEntropy=1.352346, SmoothL1=0.546350, accuracy=0.883778 [Epoch 215][Batch 299], Speed: 73.004686 samples/sec, CrossEntropy=1.351631, SmoothL1=0.544970, accuracy=0.883596 [Epoch 215][Batch 399], Speed: 72.449516 samples/sec, CrossEntropy=1.352847, SmoothL1=0.544482, accuracy=0.883301 [Epoch 215][Batch 499], Speed: 75.426524 samples/sec, CrossEntropy=1.354835, SmoothL1=0.544422, accuracy=0.882852 [Epoch 215] Training cost: 240.695144, CrossEntropy=1.356064, SmoothL1=0.545859, accuracy=0.882762 [Epoch 215] Validation: aeroplane=0.855799 bicycle=0.871920 bird=0.811725 boat=0.733884 bottle=0.611998 bus=0.850535 car=0.881863 cat=0.887022 chair=0.658891 cow=0.851864 diningtable=0.773218 dog=0.865906 horse=0.868657 motorbike=0.862714 person=0.821954 pottedplant=0.539124 sheep=0.836676 sofa=0.817276 train=0.868579 tvmonitor=0.791202 mAP=0.803040 [Epoch 216][Batch 99], Speed: 71.392257 samples/sec, CrossEntropy=1.347519, SmoothL1=0.547087, accuracy=0.882539 [Epoch 216][Batch 199], Speed: 71.832920 samples/sec, CrossEntropy=1.349577, SmoothL1=0.551241, accuracy=0.882103 [Epoch 216][Batch 299], Speed: 72.501058 samples/sec, CrossEntropy=1.361512, SmoothL1=0.555921, accuracy=0.881296 [Epoch 216][Batch 399], Speed: 71.840841 samples/sec, CrossEntropy=1.355424, SmoothL1=0.550540, accuracy=0.881922 [Epoch 216][Batch 499], Speed: 77.849620 samples/sec, CrossEntropy=1.361458, SmoothL1=0.551436, accuracy=0.881615 [Epoch 216] Training cost: 240.541423, CrossEntropy=1.362037, SmoothL1=0.550957, accuracy=0.881628 [Epoch 216] Validation: aeroplane=0.858421 bicycle=0.866623 bird=0.808477 boat=0.735191 bottle=0.607222 bus=0.850899 car=0.880491 cat=0.885064 chair=0.655004 cow=0.846578 diningtable=0.779607 dog=0.864867 horse=0.868945 motorbike=0.856709 person=0.819987 pottedplant=0.530830 sheep=0.838157 sofa=0.819891 train=0.873226 tvmonitor=0.789874 mAP=0.801803 [Epoch 217][Batch 99], Speed: 71.858957 samples/sec, CrossEntropy=1.345590, SmoothL1=0.536349, accuracy=0.883843 [Epoch 217][Batch 199], Speed: 70.915539 samples/sec, CrossEntropy=1.353890, SmoothL1=0.546421, accuracy=0.883341 [Epoch 217][Batch 299], Speed: 67.347307 samples/sec, CrossEntropy=1.357370, SmoothL1=0.550716, accuracy=0.882651 [Epoch 217][Batch 399], Speed: 72.743818 samples/sec, CrossEntropy=1.361955, SmoothL1=0.555221, accuracy=0.882066 [Epoch 217][Batch 499], Speed: 72.990711 samples/sec, CrossEntropy=1.361059, SmoothL1=0.554119, accuracy=0.882201 [Epoch 217] Training cost: 240.657136, CrossEntropy=1.363969, SmoothL1=0.555126, accuracy=0.882031 [Epoch 217] Validation: aeroplane=0.853486 bicycle=0.870693 bird=0.807057 boat=0.734121 bottle=0.604088 bus=0.851782 car=0.880436 cat=0.883717 chair=0.658338 cow=0.844365 diningtable=0.779017 dog=0.864246 horse=0.872842 motorbike=0.855389 person=0.822846 pottedplant=0.538995 sheep=0.839644 sofa=0.817621 train=0.870395 tvmonitor=0.794268 mAP=0.802167 [Epoch 218][Batch 99], Speed: 70.861513 samples/sec, CrossEntropy=1.361323, SmoothL1=0.554970, accuracy=0.883596 [Epoch 218][Batch 199], Speed: 70.137763 samples/sec, CrossEntropy=1.365648, SmoothL1=0.558338, accuracy=0.882382 [Epoch 218][Batch 299], Speed: 69.574623 samples/sec, CrossEntropy=1.363582, SmoothL1=0.554904, accuracy=0.882437 [Epoch 218][Batch 399], Speed: 73.326552 samples/sec, CrossEntropy=1.358446, SmoothL1=0.552324, accuracy=0.882681 [Epoch 218][Batch 499], Speed: 75.933558 samples/sec, CrossEntropy=1.363555, SmoothL1=0.556130, accuracy=0.882215 [Epoch 218] Training cost: 241.109732, CrossEntropy=1.365194, SmoothL1=0.555512, accuracy=0.882196 [Epoch 218] Validation: aeroplane=0.858240 bicycle=0.870964 bird=0.813082 boat=0.734080 bottle=0.601687 bus=0.849341 car=0.881533 cat=0.884094 chair=0.653913 cow=0.848009 diningtable=0.779127 dog=0.865381 horse=0.870495 motorbike=0.853412 person=0.819672 pottedplant=0.536113 sheep=0.830688 sofa=0.816708 train=0.866303 tvmonitor=0.795210 mAP=0.801403 [Epoch 219][Batch 99], Speed: 72.564165 samples/sec, CrossEntropy=1.367417, SmoothL1=0.572529, accuracy=0.882497 [Epoch 219][Batch 199], Speed: 75.823784 samples/sec, CrossEntropy=1.357425, SmoothL1=0.567345, accuracy=0.883251 [Epoch 219][Batch 299], Speed: 72.424574 samples/sec, CrossEntropy=1.366366, SmoothL1=0.560715, accuracy=0.882167 [Epoch 219][Batch 399], Speed: 69.833923 samples/sec, CrossEntropy=1.362789, SmoothL1=0.554564, accuracy=0.882481 [Epoch 219][Batch 499], Speed: 78.864946 samples/sec, CrossEntropy=1.365647, SmoothL1=0.557041, accuracy=0.882131 [Epoch 219] Training cost: 241.643384, CrossEntropy=1.367753, SmoothL1=0.558254, accuracy=0.881960 [Epoch 219] Validation: aeroplane=0.854870 bicycle=0.870150 bird=0.808981 boat=0.742958 bottle=0.605452 bus=0.855448 car=0.881816 cat=0.885306 chair=0.658292 cow=0.838234 diningtable=0.771308 dog=0.862165 horse=0.871832 motorbike=0.856510 person=0.821698 pottedplant=0.537641 sheep=0.836723 sofa=0.815652 train=0.867081 tvmonitor=0.796915 mAP=0.801952 [Epoch 220][Batch 99], Speed: 71.790541 samples/sec, CrossEntropy=1.362080, SmoothL1=0.545173, accuracy=0.882316 [Epoch 220][Batch 199], Speed: 70.063293 samples/sec, CrossEntropy=1.373650, SmoothL1=0.566252, accuracy=0.881567 [Epoch 220][Batch 299], Speed: 70.751058 samples/sec, CrossEntropy=1.369018, SmoothL1=0.562702, accuracy=0.881506 [Epoch 220][Batch 399], Speed: 71.598139 samples/sec, CrossEntropy=1.380697, SmoothL1=0.562103, accuracy=0.880709 [Epoch 220][Batch 499], Speed: 76.785925 samples/sec, CrossEntropy=1.373854, SmoothL1=0.555519, accuracy=0.881239 [Epoch 220] Training cost: 240.430363, CrossEntropy=1.375291, SmoothL1=0.556435, accuracy=0.881188 [Epoch 220] Validation: aeroplane=0.855502 bicycle=0.875284 bird=0.814117 boat=0.738668 bottle=0.604554 bus=0.856505 car=0.882688 cat=0.886363 chair=0.660809 cow=0.839471 diningtable=0.776374 dog=0.865583 horse=0.871180 motorbike=0.856741 person=0.822004 pottedplant=0.539304 sheep=0.833730 sofa=0.823129 train=0.864057 tvmonitor=0.798370 mAP=0.803222 [Epoch 221][Batch 99], Speed: 70.668396 samples/sec, CrossEntropy=1.322241, SmoothL1=0.528843, accuracy=0.885409 [Epoch 221][Batch 199], Speed: 69.226467 samples/sec, CrossEntropy=1.349335, SmoothL1=0.549917, accuracy=0.883322 [Epoch 221][Batch 299], Speed: 70.929218 samples/sec, CrossEntropy=1.353351, SmoothL1=0.550723, accuracy=0.883043 [Epoch 221][Batch 399], Speed: 69.352486 samples/sec, CrossEntropy=1.357271, SmoothL1=0.547206, accuracy=0.882448 [Epoch 221][Batch 499], Speed: 70.804916 samples/sec, CrossEntropy=1.360728, SmoothL1=0.551194, accuracy=0.882177 [Epoch 221] Training cost: 241.318508, CrossEntropy=1.361328, SmoothL1=0.551237, accuracy=0.882157 [Epoch 221] Validation: aeroplane=0.859310 bicycle=0.870597 bird=0.813205 boat=0.738452 bottle=0.600446 bus=0.853441 car=0.882467 cat=0.886084 chair=0.655596 cow=0.849659 diningtable=0.780446 dog=0.867690 horse=0.867827 motorbike=0.857293 person=0.819238 pottedplant=0.534950 sheep=0.834159 sofa=0.814947 train=0.870991 tvmonitor=0.792645 mAP=0.802472 [Epoch 222][Batch 99], Speed: 72.743306 samples/sec, CrossEntropy=1.358628, SmoothL1=0.544785, accuracy=0.881786 [Epoch 222][Batch 199], Speed: 67.091722 samples/sec, CrossEntropy=1.369441, SmoothL1=0.560125, accuracy=0.880479 [Epoch 222][Batch 299], Speed: 72.484926 samples/sec, CrossEntropy=1.368095, SmoothL1=0.559440, accuracy=0.881182 [Epoch 222][Batch 399], Speed: 66.853584 samples/sec, CrossEntropy=1.372427, SmoothL1=0.556359, accuracy=0.880695 [Epoch 222][Batch 499], Speed: 74.472479 samples/sec, CrossEntropy=1.364799, SmoothL1=0.551876, accuracy=0.881311 [Epoch 222] Training cost: 240.537794, CrossEntropy=1.364949, SmoothL1=0.551614, accuracy=0.881291 [Epoch 222] Validation: aeroplane=0.860527 bicycle=0.869488 bird=0.806890 boat=0.733421 bottle=0.610063 bus=0.857490 car=0.882482 cat=0.885913 chair=0.653836 cow=0.841470 diningtable=0.774257 dog=0.864607 horse=0.871907 motorbike=0.858501 person=0.820867 pottedplant=0.540849 sheep=0.836675 sofa=0.818415 train=0.870313 tvmonitor=0.788330 mAP=0.802315 [Epoch 223][Batch 99], Speed: 64.383479 samples/sec, CrossEntropy=1.340503, SmoothL1=0.537363, accuracy=0.883671 [Epoch 223][Batch 199], Speed: 70.957830 samples/sec, CrossEntropy=1.344017, SmoothL1=0.547344, accuracy=0.883463 [Epoch 223][Batch 299], Speed: 72.731559 samples/sec, CrossEntropy=1.351625, SmoothL1=0.549297, accuracy=0.883088 [Epoch 223][Batch 399], Speed: 67.483329 samples/sec, CrossEntropy=1.354384, SmoothL1=0.544995, accuracy=0.883172 [Epoch 223][Batch 499], Speed: 75.553476 samples/sec, CrossEntropy=1.360800, SmoothL1=0.550421, accuracy=0.882468 [Epoch 223] Training cost: 241.968176, CrossEntropy=1.362217, SmoothL1=0.549997, accuracy=0.882419 [Epoch 223] Validation: aeroplane=0.851903 bicycle=0.873566 bird=0.809280 boat=0.735558 bottle=0.604754 bus=0.862674 car=0.881825 cat=0.886162 chair=0.653610 cow=0.838039 diningtable=0.777126 dog=0.861698 horse=0.876461 motorbike=0.859863 person=0.822343 pottedplant=0.544864 sheep=0.829622 sofa=0.817238 train=0.869395 tvmonitor=0.789924 mAP=0.802295 [Epoch 224][Batch 99], Speed: 67.608389 samples/sec, CrossEntropy=1.362753, SmoothL1=0.554537, accuracy=0.880660 [Epoch 224][Batch 199], Speed: 71.440061 samples/sec, CrossEntropy=1.370436, SmoothL1=0.565069, accuracy=0.881243 [Epoch 224][Batch 299], Speed: 69.488030 samples/sec, CrossEntropy=1.371368, SmoothL1=0.562772, accuracy=0.881250 [Epoch 224][Batch 399], Speed: 71.494631 samples/sec, CrossEntropy=1.373450, SmoothL1=0.559049, accuracy=0.881173 [Epoch 224][Batch 499], Speed: 74.527809 samples/sec, CrossEntropy=1.375281, SmoothL1=0.560209, accuracy=0.880961 [Epoch 224] Training cost: 240.759313, CrossEntropy=1.374618, SmoothL1=0.558581, accuracy=0.880953 [Epoch 224] Validation: aeroplane=0.857063 bicycle=0.873348 bird=0.808360 boat=0.739599 bottle=0.611045 bus=0.853954 car=0.881665 cat=0.889052 chair=0.660288 cow=0.845557 diningtable=0.762914 dog=0.864911 horse=0.871353 motorbike=0.854062 person=0.822013 pottedplant=0.543258 sheep=0.836088 sofa=0.819362 train=0.872097 tvmonitor=0.793513 mAP=0.802975 [Epoch 225][Batch 99], Speed: 69.188462 samples/sec, CrossEntropy=1.346477, SmoothL1=0.534100, accuracy=0.882151 [Epoch 225][Batch 199], Speed: 73.548676 samples/sec, CrossEntropy=1.356690, SmoothL1=0.552014, accuracy=0.882135 [Epoch 225][Batch 299], Speed: 73.350115 samples/sec, CrossEntropy=1.362900, SmoothL1=0.551083, accuracy=0.881198 [Epoch 225][Batch 399], Speed: 69.259439 samples/sec, CrossEntropy=1.368606, SmoothL1=0.556598, accuracy=0.881453 [Epoch 225][Batch 499], Speed: 75.640977 samples/sec, CrossEntropy=1.364966, SmoothL1=0.555573, accuracy=0.881614 [Epoch 225] Training cost: 240.726451, CrossEntropy=1.367116, SmoothL1=0.556403, accuracy=0.881353 [Epoch 225] Validation: aeroplane=0.857442 bicycle=0.872091 bird=0.807390 boat=0.736381 bottle=0.608503 bus=0.851688 car=0.881850 cat=0.885414 chair=0.656097 cow=0.846142 diningtable=0.780935 dog=0.865069 horse=0.872784 motorbike=0.857387 person=0.819076 pottedplant=0.538633 sheep=0.833730 sofa=0.815686 train=0.874607 tvmonitor=0.797409 mAP=0.802916 [Epoch 226][Batch 99], Speed: 70.907372 samples/sec, CrossEntropy=1.389080, SmoothL1=0.580863, accuracy=0.879110 [Epoch 226][Batch 199], Speed: 74.034332 samples/sec, CrossEntropy=1.357417, SmoothL1=0.559466, accuracy=0.881970 [Epoch 226][Batch 299], Speed: 73.029036 samples/sec, CrossEntropy=1.360999, SmoothL1=0.563297, accuracy=0.882326 [Epoch 226][Batch 399], Speed: 70.540371 samples/sec, CrossEntropy=1.363893, SmoothL1=0.558413, accuracy=0.882354 [Epoch 226][Batch 499], Speed: 75.554539 samples/sec, CrossEntropy=1.366129, SmoothL1=0.556697, accuracy=0.882177 [Epoch 226] Training cost: 241.152494, CrossEntropy=1.367617, SmoothL1=0.556725, accuracy=0.882008 [Epoch 226] Validation: aeroplane=0.848622 bicycle=0.869393 bird=0.807768 boat=0.733039 bottle=0.601892 bus=0.854122 car=0.881199 cat=0.887426 chair=0.654916 cow=0.846451 diningtable=0.773316 dog=0.867385 horse=0.869030 motorbike=0.855452 person=0.821764 pottedplant=0.549017 sheep=0.835419 sofa=0.815162 train=0.866871 tvmonitor=0.794129 mAP=0.801619 [Epoch 227][Batch 99], Speed: 70.102595 samples/sec, CrossEntropy=1.364377, SmoothL1=0.560502, accuracy=0.882256 [Epoch 227][Batch 199], Speed: 66.346542 samples/sec, CrossEntropy=1.369726, SmoothL1=0.569340, accuracy=0.882082 [Epoch 227][Batch 299], Speed: 72.341389 samples/sec, CrossEntropy=1.361480, SmoothL1=0.560366, accuracy=0.882460 [Epoch 227][Batch 399], Speed: 70.904076 samples/sec, CrossEntropy=1.365450, SmoothL1=0.557802, accuracy=0.881963 [Epoch 227][Batch 499], Speed: 74.047688 samples/sec, CrossEntropy=1.360745, SmoothL1=0.555790, accuracy=0.882525 [Epoch 227] Training cost: 241.151539, CrossEntropy=1.360964, SmoothL1=0.555715, accuracy=0.882400 [Epoch 227] Validation: aeroplane=0.856436 bicycle=0.872035 bird=0.812328 boat=0.733229 bottle=0.609426 bus=0.855997 car=0.881564 cat=0.885696 chair=0.654827 cow=0.852035 diningtable=0.767535 dog=0.868946 horse=0.872596 motorbike=0.858652 person=0.820732 pottedplant=0.544508 sheep=0.836220 sofa=0.818766 train=0.871747 tvmonitor=0.791107 mAP=0.803219 [Epoch 228][Batch 99], Speed: 72.855763 samples/sec, CrossEntropy=1.372512, SmoothL1=0.558236, accuracy=0.881177 [Epoch 228][Batch 199], Speed: 71.554128 samples/sec, CrossEntropy=1.368948, SmoothL1=0.562022, accuracy=0.882048 [Epoch 228][Batch 299], Speed: 71.894908 samples/sec, CrossEntropy=1.365215, SmoothL1=0.560924, accuracy=0.882072 [Epoch 228][Batch 399], Speed: 73.209963 samples/sec, CrossEntropy=1.371761, SmoothL1=0.558845, accuracy=0.881607 [Epoch 228][Batch 499], Speed: 75.083018 samples/sec, CrossEntropy=1.364073, SmoothL1=0.553133, accuracy=0.882037 [Epoch 228] Training cost: 240.931657, CrossEntropy=1.362756, SmoothL1=0.552468, accuracy=0.882180 [Epoch 228] Validation: aeroplane=0.858681 bicycle=0.874753 bird=0.810550 boat=0.730290 bottle=0.614318 bus=0.862616 car=0.881665 cat=0.886982 chair=0.656243 cow=0.849278 diningtable=0.773688 dog=0.865859 horse=0.872206 motorbike=0.856960 person=0.820395 pottedplant=0.546562 sheep=0.834872 sofa=0.817370 train=0.869575 tvmonitor=0.795448 mAP=0.803916 [Epoch 229][Batch 99], Speed: 70.888347 samples/sec, CrossEntropy=1.353439, SmoothL1=0.546385, accuracy=0.884005 [Epoch 229][Batch 199], Speed: 70.600890 samples/sec, CrossEntropy=1.354054, SmoothL1=0.547357, accuracy=0.883894 [Epoch 229][Batch 299], Speed: 69.461310 samples/sec, CrossEntropy=1.356556, SmoothL1=0.552384, accuracy=0.883163 [Epoch 229][Batch 399], Speed: 63.719376 samples/sec, CrossEntropy=1.361290, SmoothL1=0.554586, accuracy=0.882213 [Epoch 229][Batch 499], Speed: 75.221039 samples/sec, CrossEntropy=1.365474, SmoothL1=0.556835, accuracy=0.881977 [Epoch 229] Training cost: 240.732128, CrossEntropy=1.365589, SmoothL1=0.557064, accuracy=0.881991 [Epoch 229] Validation: aeroplane=0.858302 bicycle=0.870186 bird=0.806648 boat=0.745031 bottle=0.610360 bus=0.858711 car=0.880116 cat=0.887329 chair=0.653943 cow=0.850529 diningtable=0.771636 dog=0.867124 horse=0.872347 motorbike=0.859509 person=0.821639 pottedplant=0.535520 sheep=0.836497 sofa=0.816309 train=0.871692 tvmonitor=0.796434 mAP=0.803493 [Epoch 230][Batch 99], Speed: 72.784489 samples/sec, CrossEntropy=1.373159, SmoothL1=0.546189, accuracy=0.882369 [Epoch 230][Batch 199], Speed: 71.639489 samples/sec, CrossEntropy=1.354023, SmoothL1=0.543309, accuracy=0.882881 [Epoch 230][Batch 299], Speed: 71.598139 samples/sec, CrossEntropy=1.355267, SmoothL1=0.549586, accuracy=0.882551 [Epoch 230][Batch 399], Speed: 73.757716 samples/sec, CrossEntropy=1.359974, SmoothL1=0.549739, accuracy=0.882326 [Epoch 230][Batch 499], Speed: 72.268199 samples/sec, CrossEntropy=1.361869, SmoothL1=0.550449, accuracy=0.882094 [Epoch 230] Training cost: 240.300472, CrossEntropy=1.360671, SmoothL1=0.549607, accuracy=0.882141 [Epoch 230] Validation: aeroplane=0.862147 bicycle=0.869645 bird=0.809890 boat=0.736460 bottle=0.614745 bus=0.853503 car=0.880663 cat=0.887547 chair=0.651439 cow=0.834175 diningtable=0.762235 dog=0.865305 horse=0.870401 motorbike=0.860394 person=0.821341 pottedplant=0.536754 sheep=0.835517 sofa=0.819049 train=0.869773 tvmonitor=0.789873 mAP=0.801543 [Epoch 231][Batch 99], Speed: 67.571424 samples/sec, CrossEntropy=1.338108, SmoothL1=0.555112, accuracy=0.885241 [Epoch 231][Batch 199], Speed: 69.004912 samples/sec, CrossEntropy=1.341062, SmoothL1=0.554117, accuracy=0.883893 [Epoch 231][Batch 299], Speed: 72.044642 samples/sec, CrossEntropy=1.355093, SmoothL1=0.556011, accuracy=0.882169 [Epoch 231][Batch 399], Speed: 71.564811 samples/sec, CrossEntropy=1.351041, SmoothL1=0.552712, accuracy=0.882656 [Epoch 231][Batch 499], Speed: 74.533355 samples/sec, CrossEntropy=1.354020, SmoothL1=0.553357, accuracy=0.882524 [Epoch 231] Training cost: 240.276487, CrossEntropy=1.355391, SmoothL1=0.554424, accuracy=0.882354 [Epoch 231] Validation: aeroplane=0.857290 bicycle=0.866092 bird=0.806573 boat=0.740659 bottle=0.613475 bus=0.851461 car=0.880204 cat=0.889496 chair=0.651991 cow=0.847968 diningtable=0.777369 dog=0.866414 horse=0.867158 motorbike=0.857919 person=0.819773 pottedplant=0.539268 sheep=0.833221 sofa=0.808788 train=0.871310 tvmonitor=0.791945 mAP=0.801919 [Epoch 232][Batch 99], Speed: 69.720272 samples/sec, CrossEntropy=1.343654, SmoothL1=0.546732, accuracy=0.884550 [Epoch 232][Batch 199], Speed: 70.812910 samples/sec, CrossEntropy=1.363330, SmoothL1=0.558533, accuracy=0.882043 [Epoch 232][Batch 299], Speed: 74.568967 samples/sec, CrossEntropy=1.362053, SmoothL1=0.560415, accuracy=0.882554 [Epoch 232][Batch 399], Speed: 73.229895 samples/sec, CrossEntropy=1.364343, SmoothL1=0.552931, accuracy=0.882292 [Epoch 232][Batch 499], Speed: 76.505412 samples/sec, CrossEntropy=1.361130, SmoothL1=0.550548, accuracy=0.882314 [Epoch 232] Training cost: 240.749146, CrossEntropy=1.363134, SmoothL1=0.551396, accuracy=0.882202 [Epoch 232] Validation: aeroplane=0.840799 bicycle=0.871093 bird=0.804472 boat=0.735521 bottle=0.604462 bus=0.862001 car=0.882913 cat=0.881489 chair=0.652445 cow=0.847643 diningtable=0.771170 dog=0.865597 horse=0.869844 motorbike=0.855340 person=0.820662 pottedplant=0.541436 sheep=0.837206 sofa=0.820526 train=0.872066 tvmonitor=0.790069 mAP=0.801338 [Epoch 233][Batch 99], Speed: 73.650259 samples/sec, CrossEntropy=1.348618, SmoothL1=0.539906, accuracy=0.884313 [Epoch 233][Batch 199], Speed: 73.172964 samples/sec, CrossEntropy=1.370986, SmoothL1=0.566973, accuracy=0.881936 [Epoch 233][Batch 299], Speed: 70.048849 samples/sec, CrossEntropy=1.371017, SmoothL1=0.558071, accuracy=0.881603 [Epoch 233][Batch 399], Speed: 67.631554 samples/sec, CrossEntropy=1.363116, SmoothL1=0.552428, accuracy=0.882088 [Epoch 233][Batch 499], Speed: 75.126558 samples/sec, CrossEntropy=1.364358, SmoothL1=0.555519, accuracy=0.881842 [Epoch 233] Training cost: 240.960156, CrossEntropy=1.363736, SmoothL1=0.554654, accuracy=0.881852 [Epoch 233] Validation: aeroplane=0.842361 bicycle=0.869033 bird=0.811582 boat=0.738211 bottle=0.601091 bus=0.856581 car=0.881807 cat=0.883679 chair=0.648402 cow=0.847696 diningtable=0.783886 dog=0.866672 horse=0.874618 motorbike=0.857155 person=0.820425 pottedplant=0.542191 sheep=0.834720 sofa=0.815578 train=0.871456 tvmonitor=0.795348 mAP=0.802125 [Epoch 234][Batch 99], Speed: 69.986499 samples/sec, CrossEntropy=1.367966, SmoothL1=0.562337, accuracy=0.882522 [Epoch 234][Batch 199], Speed: 72.460625 samples/sec, CrossEntropy=1.351059, SmoothL1=0.550682, accuracy=0.883073 [Epoch 234][Batch 299], Speed: 69.882573 samples/sec, CrossEntropy=1.356137, SmoothL1=0.552033, accuracy=0.882949 [Epoch 234][Batch 399], Speed: 70.385337 samples/sec, CrossEntropy=1.365023, SmoothL1=0.554877, accuracy=0.882485 [Epoch 234][Batch 499], Speed: 76.909389 samples/sec, CrossEntropy=1.361513, SmoothL1=0.554570, accuracy=0.882761 [Epoch 234] Training cost: 240.399029, CrossEntropy=1.361116, SmoothL1=0.553893, accuracy=0.882759 [Epoch 234] Validation: aeroplane=0.857889 bicycle=0.870606 bird=0.812079 boat=0.731389 bottle=0.602469 bus=0.860750 car=0.882156 cat=0.887060 chair=0.654392 cow=0.840655 diningtable=0.758626 dog=0.865051 horse=0.867130 motorbike=0.857489 person=0.819974 pottedplant=0.548683 sheep=0.830781 sofa=0.813975 train=0.865495 tvmonitor=0.791846 mAP=0.800925 [Epoch 235][Batch 99], Speed: 71.964449 samples/sec, CrossEntropy=1.342938, SmoothL1=0.522165, accuracy=0.883424 [Epoch 235][Batch 199], Speed: 63.482370 samples/sec, CrossEntropy=1.342348, SmoothL1=0.539019, accuracy=0.883786 [Epoch 235][Batch 299], Speed: 72.365610 samples/sec, CrossEntropy=1.352266, SmoothL1=0.543542, accuracy=0.882676 [Epoch 235][Batch 399], Speed: 73.011517 samples/sec, CrossEntropy=1.352396, SmoothL1=0.543994, accuracy=0.882593 [Epoch 235][Batch 499], Speed: 76.695231 samples/sec, CrossEntropy=1.353390, SmoothL1=0.546132, accuracy=0.882602 [Epoch 235] Training cost: 240.555612, CrossEntropy=1.357088, SmoothL1=0.549450, accuracy=0.882241 [Epoch 235] Validation: aeroplane=0.848656 bicycle=0.871022 bird=0.812750 boat=0.739282 bottle=0.613181 bus=0.857926 car=0.881923 cat=0.887710 chair=0.649307 cow=0.845550 diningtable=0.778915 dog=0.866773 horse=0.871592 motorbike=0.858746 person=0.822939 pottedplant=0.544106 sheep=0.839649 sofa=0.819450 train=0.866020 tvmonitor=0.788541 mAP=0.803202 [Epoch 236][Batch 99], Speed: 71.367696 samples/sec, CrossEntropy=1.359583, SmoothL1=0.544098, accuracy=0.882759 [Epoch 236][Batch 199], Speed: 72.767127 samples/sec, CrossEntropy=1.366789, SmoothL1=0.557050, accuracy=0.882546 [Epoch 236][Batch 299], Speed: 73.271631 samples/sec, CrossEntropy=1.370929, SmoothL1=0.556893, accuracy=0.882209 [Epoch 236][Batch 399], Speed: 70.541149 samples/sec, CrossEntropy=1.373873, SmoothL1=0.554826, accuracy=0.881728 [Epoch 236][Batch 499], Speed: 74.212196 samples/sec, CrossEntropy=1.367364, SmoothL1=0.552295, accuracy=0.881774 [Epoch 236] Training cost: 240.367026, CrossEntropy=1.368236, SmoothL1=0.552481, accuracy=0.881701 [Epoch 236] Validation: aeroplane=0.839405 bicycle=0.872312 bird=0.813059 boat=0.739329 bottle=0.614355 bus=0.858347 car=0.882465 cat=0.881329 chair=0.655286 cow=0.847419 diningtable=0.773711 dog=0.865642 horse=0.869375 motorbike=0.859524 person=0.822060 pottedplant=0.546204 sheep=0.839554 sofa=0.819107 train=0.876113 tvmonitor=0.795856 mAP=0.803522 [Epoch 237][Batch 99], Speed: 69.048861 samples/sec, CrossEntropy=1.359761, SmoothL1=0.550033, accuracy=0.883204 [Epoch 237][Batch 199], Speed: 70.489394 samples/sec, CrossEntropy=1.353701, SmoothL1=0.551277, accuracy=0.883402 [Epoch 237][Batch 299], Speed: 71.282641 samples/sec, CrossEntropy=1.360344, SmoothL1=0.552689, accuracy=0.882495 [Epoch 237][Batch 399], Speed: 67.032146 samples/sec, CrossEntropy=1.363353, SmoothL1=0.553480, accuracy=0.882466 [Epoch 237][Batch 499], Speed: 75.971252 samples/sec, CrossEntropy=1.362233, SmoothL1=0.555010, accuracy=0.882506 [Epoch 237] Training cost: 241.471057, CrossEntropy=1.362239, SmoothL1=0.555429, accuracy=0.882526 [Epoch 237] Validation: aeroplane=0.847545 bicycle=0.875673 bird=0.810418 boat=0.734522 bottle=0.610098 bus=0.859380 car=0.880951 cat=0.884152 chair=0.652701 cow=0.846357 diningtable=0.759229 dog=0.867161 horse=0.874057 motorbike=0.855568 person=0.819899 pottedplant=0.549022 sheep=0.836199 sofa=0.810749 train=0.877028 tvmonitor=0.793103 mAP=0.802191 [Epoch 238][Batch 99], Speed: 68.911131 samples/sec, CrossEntropy=1.342542, SmoothL1=0.520648, accuracy=0.883567 [Epoch 238][Batch 199], Speed: 69.501595 samples/sec, CrossEntropy=1.347489, SmoothL1=0.535714, accuracy=0.883868 [Epoch 238][Batch 299], Speed: 72.148432 samples/sec, CrossEntropy=1.353940, SmoothL1=0.543975, accuracy=0.883369 [Epoch 238][Batch 399], Speed: 72.928960 samples/sec, CrossEntropy=1.353935, SmoothL1=0.542841, accuracy=0.883174 [Epoch 238][Batch 499], Speed: 75.786108 samples/sec, CrossEntropy=1.358232, SmoothL1=0.546332, accuracy=0.882640 [Epoch 238] Training cost: 240.448635, CrossEntropy=1.360405, SmoothL1=0.546967, accuracy=0.882529 [Epoch 238] Validation: aeroplane=0.850631 bicycle=0.875926 bird=0.808597 boat=0.736591 bottle=0.607969 bus=0.861505 car=0.882117 cat=0.885741 chair=0.654018 cow=0.848182 diningtable=0.758556 dog=0.863467 horse=0.866466 motorbike=0.861239 person=0.821322 pottedplant=0.541286 sheep=0.838430 sofa=0.815412 train=0.871399 tvmonitor=0.793457 mAP=0.802116 [Epoch 239][Batch 99], Speed: 70.376664 samples/sec, CrossEntropy=1.356530, SmoothL1=0.545989, accuracy=0.883377 [Epoch 239][Batch 199], Speed: 71.180722 samples/sec, CrossEntropy=1.352902, SmoothL1=0.547580, accuracy=0.882700 [Epoch 239][Batch 299], Speed: 69.116562 samples/sec, CrossEntropy=1.349463, SmoothL1=0.548511, accuracy=0.882893 [Epoch 239][Batch 399], Speed: 70.960043 samples/sec, CrossEntropy=1.352890, SmoothL1=0.545427, accuracy=0.882735 [Epoch 239][Batch 499], Speed: 77.495152 samples/sec, CrossEntropy=1.352644, SmoothL1=0.543536, accuracy=0.882549 [Epoch 239] Training cost: 240.852806, CrossEntropy=1.353801, SmoothL1=0.544644, accuracy=0.882505 [Epoch 239] Validation: aeroplane=0.836239 bicycle=0.870702 bird=0.811798 boat=0.738079 bottle=0.605063 bus=0.854709 car=0.881295 cat=0.885404 chair=0.650134 cow=0.846202 diningtable=0.779267 dog=0.865933 horse=0.861511 motorbike=0.854015 person=0.819920 pottedplant=0.539054 sheep=0.833078 sofa=0.820523 train=0.868614 tvmonitor=0.790106 mAP=0.800582