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='mobilenet1_0', num_workers=4, resume='', save_interval=10, save_prefix='ssd_512_mobilenet1_0_voc', seed=233, start_epoch=0, val_interval=1, wd=0.0005) Start training from [Epoch 0] [Epoch 0][Batch 99], Speed: 46.116 samples/sec, CrossEntropy=8.803, SmoothL1=3.309 [Epoch 0][Batch 199], Speed: 90.074 samples/sec, CrossEntropy=6.976, SmoothL1=3.170 [Epoch 0][Batch 299], Speed: 317.859 samples/sec, CrossEntropy=6.277, SmoothL1=3.055 [Epoch 0][Batch 399], Speed: 309.023 samples/sec, CrossEntropy=5.897, SmoothL1=2.966 [Epoch 0][Batch 499], Speed: 135.598 samples/sec, CrossEntropy=5.651, SmoothL1=2.890 [Epoch 0] Training cost: 350.417, CrossEntropy=5.619, SmoothL1=2.878 [Epoch 0] Validation: aeroplane=0.07259437600532101 bicycle=0.07495287264040208 bird=0.021057408442759253 boat=0.004845528254624302 bottle=0.011080354879802249 bus=0.09793333659924028 car=0.1990082839631987 cat=0.12430617181251875 chair=0.12058548839664297 cow=0.031606723651290566 diningtable=0.013471475471697436 dog=0.1302899232254668 horse=0.089168598477663 motorbike=0.12470087201003555 person=0.3820838418800605 pottedplant=0.0029907623544648387 sheep=0.02728591252987453 sofa=0.025973961901949474 train=0.08052483550680892 tvmonitor=0.03306976511618039 mAP=0.08337652465600008 [Epoch 1][Batch 99], Speed: 34.319 samples/sec, CrossEntropy=4.535, SmoothL1=2.423 [Epoch 1][Batch 199], Speed: 32.682 samples/sec, CrossEntropy=4.491, SmoothL1=2.383 [Epoch 1][Batch 299], Speed: 302.325 samples/sec, CrossEntropy=4.454, SmoothL1=2.359 [Epoch 1][Batch 399], Speed: 26.774 samples/sec, CrossEntropy=4.433, SmoothL1=2.337 [Epoch 1][Batch 499], Speed: 308.889 samples/sec, CrossEntropy=4.411, SmoothL1=2.311 [Epoch 1] Training cost: 249.040, CrossEntropy=4.407, SmoothL1=2.302 [Epoch 1] Validation: aeroplane=0.11479899208859509 bicycle=0.16022467350768643 bird=0.1441947174493526 boat=0.030946637759970187 bottle=0.08064597595518364 bus=0.10678260051269853 car=0.3569137532569928 cat=0.2575421805158846 chair=0.1623024296822188 cow=0.11106663384402346 diningtable=0.05412395013196821 dog=0.2200197579201724 horse=0.21084086760850074 motorbike=0.23333177229608587 person=0.46587594379455155 pottedplant=0.004798690112978848 sheep=0.2022617700602249 sofa=0.19108157226814107 train=0.12754570824788575 tvmonitor=0.22321859257342735 mAP=0.17292586097932713 [Epoch 2][Batch 99], Speed: 29.661 samples/sec, CrossEntropy=4.232, SmoothL1=2.146 [Epoch 2][Batch 199], Speed: 179.408 samples/sec, CrossEntropy=4.213, SmoothL1=2.093 [Epoch 2][Batch 299], Speed: 313.205 samples/sec, CrossEntropy=4.191, SmoothL1=2.067 [Epoch 2][Batch 399], Speed: 117.259 samples/sec, CrossEntropy=4.173, SmoothL1=2.049 [Epoch 2][Batch 499], Speed: 118.943 samples/sec, CrossEntropy=4.151, SmoothL1=2.028 [Epoch 2] Training cost: 249.878, CrossEntropy=4.150, SmoothL1=2.033 [Epoch 2] Validation: aeroplane=0.19330355207811026 bicycle=0.2295042470332583 bird=0.19642471053520932 boat=0.05064725358735184 bottle=0.1319156135596611 bus=0.18518206708517407 car=0.48688789097415935 cat=0.3386476557749824 chair=0.23571247218413266 cow=0.16695938842131927 diningtable=0.0809435592075934 dog=0.3639866173649093 horse=0.3635515781082435 motorbike=0.2720771386912257 person=0.5320883327753545 pottedplant=0.027609704257557724 sheep=0.23725310110619935 sofa=0.21519427132505045 train=0.19668336876542852 tvmonitor=0.2955025317825076 mAP=0.24000375273087146 [Epoch 3][Batch 99], Speed: 30.067 samples/sec, CrossEntropy=4.033, SmoothL1=1.959 [Epoch 3][Batch 199], Speed: 24.674 samples/sec, CrossEntropy=4.024, SmoothL1=1.958 [Epoch 3][Batch 299], Speed: 38.322 samples/sec, CrossEntropy=4.006, SmoothL1=1.929 [Epoch 3][Batch 399], Speed: 114.305 samples/sec, CrossEntropy=3.983, SmoothL1=1.920 [Epoch 3][Batch 499], Speed: 24.647 samples/sec, CrossEntropy=3.969, SmoothL1=1.915 [Epoch 3] Training cost: 250.210, CrossEntropy=3.966, SmoothL1=1.915 [Epoch 3] Validation: aeroplane=0.27121707034836895 bicycle=0.27011130444018905 bird=0.29027525899623513 boat=0.06122145514510827 bottle=0.1410799760044928 bus=0.2251179706855679 car=0.5248861590204743 cat=0.42110369897318145 chair=0.23721259824723187 cow=0.1655043896359403 diningtable=0.07973904624077008 dog=0.36294881405417934 horse=0.4369532852791118 motorbike=0.2800404875440613 person=0.5766221428646292 pottedplant=0.05926847516716377 sheep=0.28065866741745477 sofa=0.289040100034144 train=0.2471819431408307 tvmonitor=0.3406721994159744 mAP=0.2780427521327554 [Epoch 4][Batch 99], Speed: 39.744 samples/sec, CrossEntropy=3.894, SmoothL1=1.859 [Epoch 4][Batch 199], Speed: 96.879 samples/sec, CrossEntropy=3.860, SmoothL1=1.852 [Epoch 4][Batch 299], Speed: 160.302 samples/sec, CrossEntropy=3.847, SmoothL1=1.853 [Epoch 4][Batch 399], Speed: 72.504 samples/sec, CrossEntropy=3.831, SmoothL1=1.847 [Epoch 4][Batch 499], Speed: 293.637 samples/sec, CrossEntropy=3.817, SmoothL1=1.849 [Epoch 4] Training cost: 252.506, CrossEntropy=3.815, SmoothL1=1.853 [Epoch 4] Validation: aeroplane=0.3252976219634375 bicycle=0.33432302073013215 bird=0.35530476877891287 boat=0.05737005149093912 bottle=0.16151216133685567 bus=0.2921064556622892 car=0.6136011013791253 cat=0.5431354881202409 chair=0.30398468968193615 cow=0.27972844952417764 diningtable=0.13768244723525247 dog=0.3915216910245258 horse=0.4469972450513357 motorbike=0.42171880607085077 person=0.5891046897932963 pottedplant=0.11679178907390478 sheep=0.3173975201284244 sofa=0.38108268845041376 train=0.2991210694408596 tvmonitor=0.39924420709594693 mAP=0.3383512981016429 [Epoch 5][Batch 99], Speed: 307.351 samples/sec, CrossEntropy=3.709, SmoothL1=1.813 [Epoch 5][Batch 199], Speed: 25.808 samples/sec, CrossEntropy=3.707, SmoothL1=1.804 [Epoch 5][Batch 299], Speed: 40.129 samples/sec, CrossEntropy=3.701, SmoothL1=1.809 [Epoch 5][Batch 399], Speed: 26.998 samples/sec, CrossEntropy=3.683, SmoothL1=1.802 [Epoch 5][Batch 499], Speed: 56.317 samples/sec, CrossEntropy=3.671, SmoothL1=1.792 [Epoch 5] Training cost: 251.447, CrossEntropy=3.671, SmoothL1=1.790 [Epoch 5] Validation: aeroplane=0.35138473341730914 bicycle=0.4268446875175549 bird=0.37092190627990956 boat=0.08455367372352396 bottle=0.19620134226818076 bus=0.3605242339101206 car=0.6287507119670479 cat=0.5318446774330966 chair=0.28952127846834513 cow=0.26878018696984735 diningtable=0.18591845343206256 dog=0.4478111959339973 horse=0.5062079008848006 motorbike=0.40631365188301444 person=0.6054948410584199 pottedplant=0.12104546141098722 sheep=0.3410859314653015 sofa=0.3031213768626626 train=0.3611800440226344 tvmonitor=0.4262016898688351 mAP=0.36068539893888263 [Epoch 6][Batch 99], Speed: 37.193 samples/sec, CrossEntropy=3.611, SmoothL1=1.788 [Epoch 6][Batch 199], Speed: 326.345 samples/sec, CrossEntropy=3.579, SmoothL1=1.780 [Epoch 6][Batch 299], Speed: 215.901 samples/sec, CrossEntropy=3.587, SmoothL1=1.769 [Epoch 6][Batch 399], Speed: 104.477 samples/sec, CrossEntropy=3.589, SmoothL1=1.760 [Epoch 6][Batch 499], Speed: 277.848 samples/sec, CrossEntropy=3.585, SmoothL1=1.751 [Epoch 6] Training cost: 251.365, CrossEntropy=3.583, SmoothL1=1.748 [Epoch 6] Validation: aeroplane=0.4257417233727505 bicycle=0.4537607024857277 bird=0.4057301573946252 boat=0.12067117255885672 bottle=0.21951105798126758 bus=0.45864676409953253 car=0.6791910306170086 cat=0.582564633868418 chair=0.3026520441956057 cow=0.3442048284867588 diningtable=0.19519410003750765 dog=0.5121136514984207 horse=0.5492580840236496 motorbike=0.4783397882278972 person=0.619920674170554 pottedplant=0.17301129012981933 sheep=0.41490035342507986 sofa=0.39828467594980294 train=0.340171945261537 tvmonitor=0.47278177282658107 mAP=0.40733252253057006 [Epoch 7][Batch 99], Speed: 65.301 samples/sec, CrossEntropy=3.476, SmoothL1=1.676 [Epoch 7][Batch 199], Speed: 33.964 samples/sec, CrossEntropy=3.503, SmoothL1=1.695 [Epoch 7][Batch 299], Speed: 29.921 samples/sec, CrossEntropy=3.509, SmoothL1=1.710 [Epoch 7][Batch 399], Speed: 320.969 samples/sec, CrossEntropy=3.502, SmoothL1=1.710 [Epoch 7][Batch 499], Speed: 309.735 samples/sec, CrossEntropy=3.500, SmoothL1=1.701 [Epoch 7] Training cost: 250.517, CrossEntropy=3.499, SmoothL1=1.702 [Epoch 7] Validation: aeroplane=0.442163489282846 bicycle=0.4672272456275669 bird=0.4400972470968903 boat=0.17560772963556393 bottle=0.20755441058170104 bus=0.46031051836149195 car=0.6715295993801126 cat=0.6237145481259186 chair=0.3038307918505611 cow=0.34508490731705127 diningtable=0.28349442316425 dog=0.5143590375506583 horse=0.5192977639362797 motorbike=0.5146699580570543 person=0.6147660168498517 pottedplant=0.19134309971299154 sheep=0.4577146109025794 sofa=0.4490784454448424 train=0.37388798516698457 tvmonitor=0.47423530376573214 mAP=0.42649835659054636 [Epoch 8][Batch 99], Speed: 22.836 samples/sec, CrossEntropy=3.416, SmoothL1=1.699 [Epoch 8][Batch 199], Speed: 40.645 samples/sec, CrossEntropy=3.431, SmoothL1=1.698 [Epoch 8][Batch 299], Speed: 306.839 samples/sec, CrossEntropy=3.430, SmoothL1=1.688 [Epoch 8][Batch 399], Speed: 310.430 samples/sec, CrossEntropy=3.427, SmoothL1=1.681 [Epoch 8][Batch 499], Speed: 63.536 samples/sec, CrossEntropy=3.422, SmoothL1=1.684 [Epoch 8] Training cost: 250.432, CrossEntropy=3.421, SmoothL1=1.685 [Epoch 8] Validation: aeroplane=0.48147659582572316 bicycle=0.5328583403503039 bird=0.5072752859199089 boat=0.17284021222808135 bottle=0.2616284428365493 bus=0.4965090538941604 car=0.6999867342603314 cat=0.6640238167604332 chair=0.34406696244287155 cow=0.38740959460058816 diningtable=0.34576686043832655 dog=0.5673945774476092 horse=0.5765191575804496 motorbike=0.5677849120716848 person=0.6118843071434902 pottedplant=0.19291010391914096 sheep=0.46343534028695743 sofa=0.45909017171702726 train=0.4697925962076979 tvmonitor=0.48314185182494757 mAP=0.46428974588781424 [Epoch 9][Batch 99], Speed: 61.578 samples/sec, CrossEntropy=3.386, SmoothL1=1.644 [Epoch 9][Batch 199], Speed: 31.085 samples/sec, CrossEntropy=3.382, SmoothL1=1.651 [Epoch 9][Batch 299], Speed: 319.019 samples/sec, CrossEntropy=3.381, SmoothL1=1.675 [Epoch 9][Batch 399], Speed: 298.269 samples/sec, CrossEntropy=3.369, SmoothL1=1.664 [Epoch 9][Batch 499], Speed: 24.531 samples/sec, CrossEntropy=3.365, SmoothL1=1.657 [Epoch 9] Training cost: 249.478, CrossEntropy=3.367, SmoothL1=1.658 [Epoch 9] Validation: aeroplane=0.48909595283879037 bicycle=0.5529082144035552 bird=0.5227658613521794 boat=0.19063493576983462 bottle=0.2548655752518021 bus=0.5388606855487171 car=0.7227346696483268 cat=0.6785693403094257 chair=0.37263642339104874 cow=0.43162984514192354 diningtable=0.33245593954478597 dog=0.5973233686381596 horse=0.5710493994299747 motorbike=0.5893891031221822 person=0.6575514606350159 pottedplant=0.21487333535797798 sheep=0.452026905512833 sofa=0.5047738847960022 train=0.4755093908335062 tvmonitor=0.4840246018363532 mAP=0.4816839446681197 [Epoch 10][Batch 99], Speed: 47.425 samples/sec, CrossEntropy=3.338, SmoothL1=1.638 [Epoch 10][Batch 199], Speed: 309.225 samples/sec, CrossEntropy=3.321, SmoothL1=1.631 [Epoch 10][Batch 299], Speed: 313.778 samples/sec, CrossEntropy=3.323, SmoothL1=1.632 [Epoch 10][Batch 399], Speed: 45.239 samples/sec, CrossEntropy=3.313, SmoothL1=1.640 [Epoch 10][Batch 499], Speed: 45.406 samples/sec, CrossEntropy=3.308, SmoothL1=1.630 [Epoch 10] Training cost: 252.344, CrossEntropy=3.308, SmoothL1=1.631 [Epoch 10] Validation: aeroplane=0.49518536363571275 bicycle=0.5799892448765489 bird=0.5505809377633338 boat=0.21705007617416766 bottle=0.2866955582011401 bus=0.551566696958962 car=0.7237591705693402 cat=0.6964326551339488 chair=0.36232656036656025 cow=0.4465579128193789 diningtable=0.3836120431787186 dog=0.6092903358396452 horse=0.5959438426525163 motorbike=0.6093507686898982 person=0.6536966518664628 pottedplant=0.19329449910298963 sheep=0.5219243141142749 sofa=0.5393626690442387 train=0.43350316487169394 tvmonitor=0.5297582521575421 mAP=0.49899403590085367 [Epoch 11][Batch 99], Speed: 24.487 samples/sec, CrossEntropy=3.278, SmoothL1=1.602 [Epoch 11][Batch 199], Speed: 87.627 samples/sec, CrossEntropy=3.262, SmoothL1=1.605 [Epoch 11][Batch 299], Speed: 35.758 samples/sec, CrossEntropy=3.270, SmoothL1=1.603 [Epoch 11][Batch 399], Speed: 310.258 samples/sec, CrossEntropy=3.268, SmoothL1=1.611 [Epoch 11][Batch 499], Speed: 310.508 samples/sec, CrossEntropy=3.263, SmoothL1=1.611 [Epoch 11] Training cost: 249.282, CrossEntropy=3.262, SmoothL1=1.609 [Epoch 11] Validation: aeroplane=0.48099219045894354 bicycle=0.559928144372941 bird=0.5186314724217741 boat=0.22385400250876342 bottle=0.29259295934521634 bus=0.560305790997724 car=0.7204837523407206 cat=0.6858783182045959 chair=0.3922260299950604 cow=0.419032267665042 diningtable=0.3775347840999728 dog=0.5796238875751512 horse=0.5767144397068245 motorbike=0.630731887473997 person=0.6661241872702286 pottedplant=0.2297633430255398 sheep=0.5278470987081975 sofa=0.495705147819395 train=0.5051396884169191 tvmonitor=0.5264297326411831 mAP=0.4984769562524095 [Epoch 12][Batch 99], Speed: 315.119 samples/sec, CrossEntropy=3.225, SmoothL1=1.598 [Epoch 12][Batch 199], Speed: 64.973 samples/sec, CrossEntropy=3.226, SmoothL1=1.578 [Epoch 12][Batch 299], Speed: 216.162 samples/sec, CrossEntropy=3.221, SmoothL1=1.583 [Epoch 12][Batch 399], Speed: 311.288 samples/sec, CrossEntropy=3.220, SmoothL1=1.585 [Epoch 12][Batch 499], Speed: 32.259 samples/sec, CrossEntropy=3.209, SmoothL1=1.578 [Epoch 12] Training cost: 251.034, CrossEntropy=3.208, SmoothL1=1.580 [Epoch 12] Validation: aeroplane=0.5731931709575007 bicycle=0.6040218168074235 bird=0.5530510893491962 boat=0.2627699465678702 bottle=0.29538493230489604 bus=0.5696819496599655 car=0.7383339914420471 cat=0.7165769187018393 chair=0.3819176759329994 cow=0.48091193154874706 diningtable=0.4162249115186212 dog=0.634410957818419 horse=0.6325685741850514 motorbike=0.6351929710700114 person=0.6680302033864733 pottedplant=0.23063321357636518 sheep=0.547599072854466 sofa=0.5351783002764101 train=0.5774372260621268 tvmonitor=0.5458573472393142 mAP=0.5299488100629872 [Epoch 13][Batch 99], Speed: 86.230 samples/sec, CrossEntropy=3.181, SmoothL1=1.582 [Epoch 13][Batch 199], Speed: 314.813 samples/sec, CrossEntropy=3.185, SmoothL1=1.591 [Epoch 13][Batch 299], Speed: 25.773 samples/sec, CrossEntropy=3.188, SmoothL1=1.580 [Epoch 13][Batch 399], Speed: 95.409 samples/sec, CrossEntropy=3.180, SmoothL1=1.586 [Epoch 13][Batch 499], Speed: 32.329 samples/sec, CrossEntropy=3.173, SmoothL1=1.572 [Epoch 13] Training cost: 253.643, CrossEntropy=3.175, SmoothL1=1.573 [Epoch 13] Validation: aeroplane=0.5578184973474679 bicycle=0.6216680487101061 bird=0.5814678159159246 boat=0.2864989817744943 bottle=0.3179705026255495 bus=0.607405170380063 car=0.746392614176181 cat=0.7139915504028121 chair=0.3669792331232515 cow=0.42607175612830167 diningtable=0.4650000946253342 dog=0.634738800605023 horse=0.6013075831880762 motorbike=0.6105944332614538 person=0.670368336948254 pottedplant=0.21508403552174904 sheep=0.5673995238363105 sofa=0.5203557281485532 train=0.56892850237541 tvmonitor=0.5579367522658557 mAP=0.5318988980680086 [Epoch 14][Batch 99], Speed: 93.063 samples/sec, CrossEntropy=3.128, SmoothL1=1.536 [Epoch 14][Batch 199], Speed: 25.686 samples/sec, CrossEntropy=3.154, SmoothL1=1.567 [Epoch 14][Batch 299], Speed: 61.002 samples/sec, CrossEntropy=3.159, SmoothL1=1.570 [Epoch 14][Batch 399], Speed: 227.681 samples/sec, CrossEntropy=3.155, SmoothL1=1.570 [Epoch 14][Batch 499], Speed: 69.851 samples/sec, CrossEntropy=3.152, SmoothL1=1.558 [Epoch 14] Training cost: 250.835, CrossEntropy=3.152, SmoothL1=1.558 [Epoch 14] Validation: aeroplane=0.5393375613988027 bicycle=0.6197152309186531 bird=0.5512208398514715 boat=0.2941083072287233 bottle=0.3264383222446742 bus=0.6162572401293234 car=0.7499075443328339 cat=0.7193673532868521 chair=0.35387303148526467 cow=0.5081328619657498 diningtable=0.4721813017114193 dog=0.6700707071764516 horse=0.6499215718282938 motorbike=0.6452801536411252 person=0.6797529448726244 pottedplant=0.23745501915090683 sheep=0.6040261481378545 sofa=0.564335489797869 train=0.5714423854645145 tvmonitor=0.5661965454013304 mAP=0.546951028001237 [Epoch 15][Batch 99], Speed: 20.462 samples/sec, CrossEntropy=3.106, SmoothL1=1.510 [Epoch 15][Batch 199], Speed: 302.407 samples/sec, CrossEntropy=3.122, SmoothL1=1.536 [Epoch 15][Batch 299], Speed: 159.929 samples/sec, CrossEntropy=3.116, SmoothL1=1.542 [Epoch 15][Batch 399], Speed: 286.068 samples/sec, CrossEntropy=3.127, SmoothL1=1.548 [Epoch 15][Batch 499], Speed: 58.582 samples/sec, CrossEntropy=3.120, SmoothL1=1.543 [Epoch 15] Training cost: 251.937, CrossEntropy=3.119, SmoothL1=1.542 [Epoch 15] Validation: aeroplane=0.580727164441905 bicycle=0.632475040239136 bird=0.5865154294046752 boat=0.3453700252405298 bottle=0.3050955004299667 bus=0.6494962892115433 car=0.7524584718759488 cat=0.749038268517403 chair=0.39801410012989585 cow=0.5161625513485051 diningtable=0.5032231513494589 dog=0.6643292516429123 horse=0.6649032587841257 motorbike=0.6680916004227524 person=0.6827747239401236 pottedplant=0.2017605824529626 sheep=0.5850301113294899 sofa=0.5734048734070574 train=0.6217637654100909 tvmonitor=0.560207796322714 mAP=0.5620420977950598 [Epoch 16][Batch 99], Speed: 86.441 samples/sec, CrossEntropy=3.082, SmoothL1=1.510 [Epoch 16][Batch 199], Speed: 80.037 samples/sec, CrossEntropy=3.090, SmoothL1=1.511 [Epoch 16][Batch 299], Speed: 93.215 samples/sec, CrossEntropy=3.088, SmoothL1=1.508 [Epoch 16][Batch 399], Speed: 168.030 samples/sec, CrossEntropy=3.096, SmoothL1=1.522 [Epoch 16][Batch 499], Speed: 29.473 samples/sec, CrossEntropy=3.092, SmoothL1=1.526 [Epoch 16] Training cost: 251.004, CrossEntropy=3.091, SmoothL1=1.526 [Epoch 16] Validation: aeroplane=0.58414720844653 bicycle=0.6593090338825677 bird=0.575529040454125 boat=0.3404722197478083 bottle=0.34143206887998806 bus=0.64009269346813 car=0.7589719497242161 cat=0.7522703166599256 chair=0.3840622502098708 cow=0.5585713769184063 diningtable=0.49751415934150756 dog=0.6704192819800854 horse=0.6674218661073177 motorbike=0.6770425086821878 person=0.6855430119595809 pottedplant=0.2401977372331314 sheep=0.6087415147500611 sofa=0.5553328970910195 train=0.5577748870399802 tvmonitor=0.6014536092025113 mAP=0.5678149815889476 [Epoch 17][Batch 99], Speed: 22.766 samples/sec, CrossEntropy=3.050, SmoothL1=1.537 [Epoch 17][Batch 199], Speed: 38.025 samples/sec, CrossEntropy=3.060, SmoothL1=1.534 [Epoch 17][Batch 299], Speed: 73.821 samples/sec, CrossEntropy=3.067, SmoothL1=1.533 [Epoch 17][Batch 399], Speed: 49.653 samples/sec, CrossEntropy=3.064, SmoothL1=1.522 [Epoch 17][Batch 499], Speed: 164.296 samples/sec, CrossEntropy=3.061, SmoothL1=1.519 [Epoch 17] Training cost: 253.434, CrossEntropy=3.063, SmoothL1=1.519 [Epoch 17] Validation: aeroplane=0.5900996943833262 bicycle=0.6784095765151478 bird=0.5780231502866696 boat=0.36253054613194163 bottle=0.35776078901347724 bus=0.6263386406615059 car=0.7523035577753485 cat=0.7435458780435993 chair=0.3756678835610156 cow=0.5655819445500717 diningtable=0.5170429496177043 dog=0.6428865699009356 horse=0.6496208323465211 motorbike=0.6576998243435739 person=0.6904524535222345 pottedplant=0.2693224573286059 sheep=0.6068939159156809 sofa=0.5515367810039031 train=0.6101772552918796 tvmonitor=0.6041109848843662 mAP=0.5715002842538754 [Epoch 18][Batch 99], Speed: 254.923 samples/sec, CrossEntropy=3.034, SmoothL1=1.479 [Epoch 18][Batch 199], Speed: 112.293 samples/sec, CrossEntropy=3.033, SmoothL1=1.512 [Epoch 18][Batch 299], Speed: 298.519 samples/sec, CrossEntropy=3.032, SmoothL1=1.513 [Epoch 18][Batch 399], Speed: 189.345 samples/sec, CrossEntropy=3.027, SmoothL1=1.510 [Epoch 18][Batch 499], Speed: 314.020 samples/sec, CrossEntropy=3.031, SmoothL1=1.507 [Epoch 18] Training cost: 251.982, CrossEntropy=3.030, SmoothL1=1.509 [Epoch 18] Validation: aeroplane=0.6083203796895537 bicycle=0.6631787152964094 bird=0.5957774503829518 boat=0.33978576807259164 bottle=0.3612045856663851 bus=0.6686219449988048 car=0.7644231938833665 cat=0.7772039852494618 chair=0.4216850063280022 cow=0.5270795757236962 diningtable=0.5368100719647111 dog=0.7031612166461765 horse=0.7002433423324946 motorbike=0.6800938473974725 person=0.6991668207064243 pottedplant=0.22722973920548295 sheep=0.6198680905124214 sofa=0.5862363066939492 train=0.6363975222912513 tvmonitor=0.6089681980118912 mAP=0.5862727880526749 [Epoch 19][Batch 99], Speed: 71.482 samples/sec, CrossEntropy=2.980, SmoothL1=1.471 [Epoch 19][Batch 199], Speed: 119.045 samples/sec, CrossEntropy=3.001, SmoothL1=1.470 [Epoch 19][Batch 299], Speed: 310.712 samples/sec, CrossEntropy=3.006, SmoothL1=1.479 [Epoch 19][Batch 399], Speed: 26.960 samples/sec, CrossEntropy=3.009, SmoothL1=1.492 [Epoch 19][Batch 499], Speed: 20.733 samples/sec, CrossEntropy=3.010, SmoothL1=1.490 [Epoch 19] Training cost: 249.499, CrossEntropy=3.010, SmoothL1=1.489 [Epoch 19] Validation: aeroplane=0.5953842888429781 bicycle=0.671813382063089 bird=0.572649167786669 boat=0.3872649378799628 bottle=0.3396292717609493 bus=0.6513925624536611 car=0.76564536194217 cat=0.7676292226167072 chair=0.4348873310035362 cow=0.5321648807970403 diningtable=0.507515232732841 dog=0.6996738938112853 horse=0.6976783299470346 motorbike=0.6906472927987745 person=0.6981660007404769 pottedplant=0.2688092715104021 sheep=0.6233096715042302 sofa=0.6024711775026619 train=0.6657147314029118 tvmonitor=0.5996964962517148 mAP=0.5886071252674548 [Epoch 20][Batch 99], Speed: 42.947 samples/sec, CrossEntropy=2.993, SmoothL1=1.468 [Epoch 20][Batch 199], Speed: 317.294 samples/sec, CrossEntropy=2.999, SmoothL1=1.485 [Epoch 20][Batch 299], Speed: 321.234 samples/sec, CrossEntropy=3.002, SmoothL1=1.480 [Epoch 20][Batch 399], Speed: 319.823 samples/sec, CrossEntropy=2.998, SmoothL1=1.480 [Epoch 20][Batch 499], Speed: 300.154 samples/sec, CrossEntropy=2.993, SmoothL1=1.479 [Epoch 20] Training cost: 247.221, CrossEntropy=2.993, SmoothL1=1.480 [Epoch 20] Validation: aeroplane=0.6180003393563483 bicycle=0.6683319395838927 bird=0.5665011893533438 boat=0.3658935063974063 bottle=0.3444495467610292 bus=0.6433760697789026 car=0.7606448033192086 cat=0.763027918118999 chair=0.40363033644953367 cow=0.5041652229827309 diningtable=0.5305198339309398 dog=0.6908899269583159 horse=0.6794898710472568 motorbike=0.6739591333889572 person=0.6914319933288996 pottedplant=0.27178182942466755 sheep=0.6226017070957214 sofa=0.6049484747518539 train=0.607911219362787 tvmonitor=0.6183074586260001 mAP=0.5814931160008399 [Epoch 21][Batch 99], Speed: 274.326 samples/sec, CrossEntropy=2.964, SmoothL1=1.477 [Epoch 21][Batch 199], Speed: 64.017 samples/sec, CrossEntropy=2.963, SmoothL1=1.475 [Epoch 21][Batch 299], Speed: 53.755 samples/sec, CrossEntropy=2.963, SmoothL1=1.463 [Epoch 21][Batch 399], Speed: 34.301 samples/sec, CrossEntropy=2.965, SmoothL1=1.473 [Epoch 21][Batch 499], Speed: 146.256 samples/sec, CrossEntropy=2.969, SmoothL1=1.477 [Epoch 21] Training cost: 247.706, CrossEntropy=2.970, SmoothL1=1.476 [Epoch 21] Validation: aeroplane=0.5962558037770457 bicycle=0.6847352668052235 bird=0.6111582761228691 boat=0.3880259880303085 bottle=0.37708751801378726 bus=0.652178469801085 car=0.7685569596245213 cat=0.7615801783830702 chair=0.43141982307087684 cow=0.537607690166203 diningtable=0.5666909439593428 dog=0.6951459331186053 horse=0.7034332142797768 motorbike=0.6724140363476115 person=0.6975816591643982 pottedplant=0.2872586099127787 sheep=0.644343180087125 sofa=0.6017870831598972 train=0.6562971545917606 tvmonitor=0.6046470681197323 mAP=0.5969102428268009 [Epoch 22][Batch 99], Speed: 33.826 samples/sec, CrossEntropy=2.975, SmoothL1=1.480 [Epoch 22][Batch 199], Speed: 59.178 samples/sec, CrossEntropy=2.965, SmoothL1=1.448 [Epoch 22][Batch 299], Speed: 53.293 samples/sec, CrossEntropy=2.966, SmoothL1=1.456 [Epoch 22][Batch 399], Speed: 51.895 samples/sec, CrossEntropy=2.956, SmoothL1=1.458 [Epoch 22][Batch 499], Speed: 69.217 samples/sec, CrossEntropy=2.954, SmoothL1=1.460 [Epoch 22] Training cost: 250.666, CrossEntropy=2.954, SmoothL1=1.461 [Epoch 22] Validation: aeroplane=0.6480822518372764 bicycle=0.693628671994875 bird=0.5721545726298619 boat=0.4166651813423599 bottle=0.3676591590910256 bus=0.6758027226063543 car=0.7872887694761534 cat=0.7771672320142653 chair=0.4388632612816034 cow=0.6186260098532723 diningtable=0.5676585922095919 dog=0.6777357753130291 horse=0.7000896090161642 motorbike=0.7036717989616708 person=0.7045404780511499 pottedplant=0.27909691121642394 sheep=0.6070216565229435 sofa=0.6154945699211063 train=0.6816348868055208 tvmonitor=0.6127953966892095 mAP=0.6072838753416929 [Epoch 23][Batch 99], Speed: 317.380 samples/sec, CrossEntropy=2.940, SmoothL1=1.481 [Epoch 23][Batch 199], Speed: 76.528 samples/sec, CrossEntropy=2.958, SmoothL1=1.497 [Epoch 23][Batch 299], Speed: 59.815 samples/sec, CrossEntropy=2.956, SmoothL1=1.482 [Epoch 23][Batch 399], Speed: 40.954 samples/sec, CrossEntropy=2.948, SmoothL1=1.475 [Epoch 23][Batch 499], Speed: 85.367 samples/sec, CrossEntropy=2.941, SmoothL1=1.474 [Epoch 23] Training cost: 250.079, CrossEntropy=2.941, SmoothL1=1.470 [Epoch 23] Validation: aeroplane=0.603773939054838 bicycle=0.6849291226972186 bird=0.6288768428216724 boat=0.35069137398661954 bottle=0.3596595849944699 bus=0.649233363801825 car=0.7785909005151745 cat=0.777942710373292 chair=0.4230560324372717 cow=0.5784207115799181 diningtable=0.5330922195482534 dog=0.7418945697154654 horse=0.7233088998966577 motorbike=0.6667811038210082 person=0.7129297749998164 pottedplant=0.2730938393477555 sheep=0.623514599202696 sofa=0.5993672138236644 train=0.6421530786955937 tvmonitor=0.6138075174988801 mAP=0.5982558699406046 [Epoch 24][Batch 99], Speed: 297.833 samples/sec, CrossEntropy=2.929, SmoothL1=1.450 [Epoch 24][Batch 199], Speed: 24.369 samples/sec, CrossEntropy=2.917, SmoothL1=1.441 [Epoch 24][Batch 299], Speed: 35.925 samples/sec, CrossEntropy=2.916, SmoothL1=1.443 [Epoch 24][Batch 399], Speed: 62.485 samples/sec, CrossEntropy=2.911, SmoothL1=1.445 [Epoch 24][Batch 499], Speed: 34.670 samples/sec, CrossEntropy=2.918, SmoothL1=1.453 [Epoch 24] Training cost: 249.336, CrossEntropy=2.920, SmoothL1=1.453 [Epoch 24] Validation: aeroplane=0.609745244105532 bicycle=0.6797160344364762 bird=0.6067943736139986 boat=0.41806219563841507 bottle=0.3680958007385792 bus=0.6622189112299822 car=0.7876142111409367 cat=0.7777547385805015 chair=0.39692422994941096 cow=0.5291622251747761 diningtable=0.5882156310743761 dog=0.7053504735241001 horse=0.7168641335106581 motorbike=0.6985487387114393 person=0.7050969643397038 pottedplant=0.3025485252959298 sheep=0.6395429861971954 sofa=0.6259411202133416 train=0.6444265734442585 tvmonitor=0.6322981732714437 mAP=0.6047460642095527 [Epoch 25][Batch 99], Speed: 311.373 samples/sec, CrossEntropy=2.899, SmoothL1=1.445 [Epoch 25][Batch 199], Speed: 284.491 samples/sec, CrossEntropy=2.893, SmoothL1=1.441 [Epoch 25][Batch 299], Speed: 60.205 samples/sec, CrossEntropy=2.880, SmoothL1=1.430 [Epoch 25][Batch 399], Speed: 36.164 samples/sec, CrossEntropy=2.883, SmoothL1=1.427 [Epoch 25][Batch 499], Speed: 47.621 samples/sec, CrossEntropy=2.893, SmoothL1=1.438 [Epoch 25] Training cost: 249.738, CrossEntropy=2.891, SmoothL1=1.438 [Epoch 25] Validation: aeroplane=0.6623849513571521 bicycle=0.7078041830939676 bird=0.6081051144624784 boat=0.42688832857630393 bottle=0.375693897967744 bus=0.691768324034374 car=0.7827461571867562 cat=0.7818510380809011 chair=0.4397402871298631 cow=0.5800380878876273 diningtable=0.5603857763292345 dog=0.7096064425614013 horse=0.7077683084433432 motorbike=0.6796448287702292 person=0.7072258773971937 pottedplant=0.27035611824456296 sheep=0.6512296894456412 sofa=0.5728538051677524 train=0.695881452503565 tvmonitor=0.635644129218999 mAP=0.6123808398929546 [Epoch 26][Batch 99], Speed: 94.502 samples/sec, CrossEntropy=2.859, SmoothL1=1.390 [Epoch 26][Batch 199], Speed: 131.736 samples/sec, CrossEntropy=2.871, SmoothL1=1.412 [Epoch 26][Batch 299], Speed: 94.308 samples/sec, CrossEntropy=2.879, SmoothL1=1.408 [Epoch 26][Batch 399], Speed: 278.983 samples/sec, CrossEntropy=2.884, SmoothL1=1.421 [Epoch 26][Batch 499], Speed: 52.178 samples/sec, CrossEntropy=2.886, SmoothL1=1.419 [Epoch 26] Training cost: 250.841, CrossEntropy=2.887, SmoothL1=1.422 [Epoch 26] Validation: aeroplane=0.6551536269236743 bicycle=0.6932785165567805 bird=0.6120917052828421 boat=0.45751798567810265 bottle=0.383058198514823 bus=0.6924619885621488 car=0.7930559910277514 cat=0.7913269647886302 chair=0.4392840800008368 cow=0.6033574313601372 diningtable=0.5609975636612491 dog=0.7358891690069076 horse=0.7320182483850867 motorbike=0.6987747472301461 person=0.7033820260469213 pottedplant=0.29483360197134495 sheep=0.6308297591101089 sofa=0.5946015127718933 train=0.690376463224453 tvmonitor=0.6450342615648574 mAP=0.6203661920834347 [Epoch 27][Batch 99], Speed: 48.288 samples/sec, CrossEntropy=2.878, SmoothL1=1.414 [Epoch 27][Batch 199], Speed: 320.647 samples/sec, CrossEntropy=2.875, SmoothL1=1.425 [Epoch 27][Batch 299], Speed: 22.383 samples/sec, CrossEntropy=2.866, SmoothL1=1.423 [Epoch 27][Batch 399], Speed: 195.423 samples/sec, CrossEntropy=2.867, SmoothL1=1.416 [Epoch 27][Batch 499], Speed: 35.413 samples/sec, CrossEntropy=2.865, SmoothL1=1.417 [Epoch 27] Training cost: 250.497, CrossEntropy=2.864, SmoothL1=1.416 [Epoch 27] Validation: aeroplane=0.6483763599236074 bicycle=0.6988501774397127 bird=0.6175601011753726 boat=0.4385587265283625 bottle=0.37746210160943783 bus=0.6958435373356011 car=0.7875682650827338 cat=0.8032118088094367 chair=0.4325876726519835 cow=0.571671335003972 diningtable=0.5865902815215034 dog=0.7364086352738123 horse=0.7233044974191164 motorbike=0.6732262596604159 person=0.7126480838752762 pottedplant=0.2841736682563342 sheep=0.6622169104576234 sofa=0.6347167724402719 train=0.6777803640738482 tvmonitor=0.6324066585541643 mAP=0.6197581108546293 [Epoch 28][Batch 99], Speed: 105.858 samples/sec, CrossEntropy=2.838, SmoothL1=1.389 [Epoch 28][Batch 199], Speed: 47.341 samples/sec, CrossEntropy=2.850, SmoothL1=1.390 [Epoch 28][Batch 299], Speed: 299.338 samples/sec, CrossEntropy=2.844, SmoothL1=1.400 [Epoch 28][Batch 399], Speed: 310.307 samples/sec, CrossEntropy=2.849, SmoothL1=1.406 [Epoch 28][Batch 499], Speed: 56.715 samples/sec, CrossEntropy=2.843, SmoothL1=1.402 [Epoch 28] Training cost: 252.095, CrossEntropy=2.841, SmoothL1=1.402 [Epoch 28] Validation: aeroplane=0.6430453833517612 bicycle=0.7190006371248407 bird=0.603000111827264 boat=0.41316730566767523 bottle=0.39165057806912423 bus=0.7009707387672296 car=0.8047169207851498 cat=0.8104142005158615 chair=0.4469520619440918 cow=0.5828310271184833 diningtable=0.5699600068371656 dog=0.7490226374644203 horse=0.7435978096047495 motorbike=0.7258658795482542 person=0.7265514164579215 pottedplant=0.30782376582003657 sheep=0.6320777992458917 sofa=0.6383248151620281 train=0.6976061250351757 tvmonitor=0.646587977589145 mAP=0.6276583598968134 [Epoch 29][Batch 99], Speed: 38.707 samples/sec, CrossEntropy=2.824, SmoothL1=1.387 [Epoch 29][Batch 199], Speed: 292.421 samples/sec, CrossEntropy=2.823, SmoothL1=1.382 [Epoch 29][Batch 299], Speed: 36.138 samples/sec, CrossEntropy=2.820, SmoothL1=1.377 [Epoch 29][Batch 399], Speed: 41.583 samples/sec, CrossEntropy=2.823, SmoothL1=1.381 [Epoch 29][Batch 499], Speed: 314.670 samples/sec, CrossEntropy=2.820, SmoothL1=1.381 [Epoch 29] Training cost: 248.718, CrossEntropy=2.820, SmoothL1=1.379 [Epoch 29] Validation: aeroplane=0.6640702766250071 bicycle=0.7266792943717638 bird=0.6546528852000759 boat=0.4459490020855315 bottle=0.37180208308326124 bus=0.6916557540866094 car=0.7962834398933597 cat=0.8014408010714009 chair=0.43506702953025317 cow=0.6192626216346546 diningtable=0.5851338943349248 dog=0.7540901388152219 horse=0.7169600997845006 motorbike=0.7046127413947109 person=0.7218893780732198 pottedplant=0.3086166328471419 sheep=0.6345744396214534 sofa=0.6307627009599801 train=0.6729302827442434 tvmonitor=0.6585391228059678 mAP=0.629748630948164 [Epoch 30][Batch 99], Speed: 174.850 samples/sec, CrossEntropy=2.820, SmoothL1=1.397 [Epoch 30][Batch 199], Speed: 66.633 samples/sec, CrossEntropy=2.814, SmoothL1=1.396 [Epoch 30][Batch 299], Speed: 46.237 samples/sec, CrossEntropy=2.817, SmoothL1=1.397 [Epoch 30][Batch 399], Speed: 295.848 samples/sec, CrossEntropy=2.813, SmoothL1=1.395 [Epoch 30][Batch 499], Speed: 68.105 samples/sec, CrossEntropy=2.809, SmoothL1=1.391 [Epoch 30] Training cost: 251.917, CrossEntropy=2.810, SmoothL1=1.393 [Epoch 30] Validation: aeroplane=0.6344636994188679 bicycle=0.7271501470554118 bird=0.6463652226722291 boat=0.42775735596711634 bottle=0.3728152502973356 bus=0.696777203344 car=0.7892473551665994 cat=0.7933778057565576 chair=0.46956517679996146 cow=0.6207975503664114 diningtable=0.5631984319376456 dog=0.7392141742934417 horse=0.7271180373000661 motorbike=0.69733267541735 person=0.7161903719827072 pottedplant=0.32422487198500727 sheep=0.6128093203301125 sofa=0.604380414897076 train=0.6555187114599511 tvmonitor=0.6179173748891503 mAP=0.62181105756685 [Epoch 31][Batch 99], Speed: 30.904 samples/sec, CrossEntropy=2.800, SmoothL1=1.409 [Epoch 31][Batch 199], Speed: 76.996 samples/sec, CrossEntropy=2.785, SmoothL1=1.389 [Epoch 31][Batch 299], Speed: 34.554 samples/sec, CrossEntropy=2.801, SmoothL1=1.396 [Epoch 31][Batch 399], Speed: 103.292 samples/sec, CrossEntropy=2.794, SmoothL1=1.386 [Epoch 31][Batch 499], Speed: 280.258 samples/sec, CrossEntropy=2.801, SmoothL1=1.389 [Epoch 31] Training cost: 251.305, CrossEntropy=2.801, SmoothL1=1.389 [Epoch 31] Validation: aeroplane=0.6615415368294189 bicycle=0.6976484503191639 bird=0.6207171790762415 boat=0.44711963573780117 bottle=0.3846277339328425 bus=0.691291148327998 car=0.8068591151788908 cat=0.8021227195993674 chair=0.42286408833722733 cow=0.6097443093652275 diningtable=0.6081252978385535 dog=0.7308124288347152 horse=0.7182046606619193 motorbike=0.687410240019821 person=0.7175317974698998 pottedplant=0.31271543475576535 sheep=0.6525404454184475 sofa=0.6785739216771158 train=0.6437695838873909 tvmonitor=0.6579044270343517 mAP=0.6276062077151079 [Epoch 32][Batch 99], Speed: 76.597 samples/sec, CrossEntropy=2.794, SmoothL1=1.402 [Epoch 32][Batch 199], Speed: 110.188 samples/sec, CrossEntropy=2.805, SmoothL1=1.407 [Epoch 32][Batch 299], Speed: 298.606 samples/sec, CrossEntropy=2.797, SmoothL1=1.393 [Epoch 32][Batch 399], Speed: 47.234 samples/sec, CrossEntropy=2.799, SmoothL1=1.391 [Epoch 32][Batch 499], Speed: 201.060 samples/sec, CrossEntropy=2.795, SmoothL1=1.395 [Epoch 32] Training cost: 252.639, CrossEntropy=2.795, SmoothL1=1.395 [Epoch 32] Validation: aeroplane=0.6819949481463471 bicycle=0.7001213998668196 bird=0.6452222335030233 boat=0.49563979820556253 bottle=0.40303859754530974 bus=0.6936655154875676 car=0.7937183847816073 cat=0.7886250491118337 chair=0.4732567818760304 cow=0.6061010735971029 diningtable=0.6056234298027916 dog=0.7371057195374217 horse=0.7376367906162057 motorbike=0.7111972614658384 person=0.7258773540878349 pottedplant=0.3193319777940216 sheep=0.6800689072132294 sofa=0.63752882336864 train=0.7046999553050012 tvmonitor=0.6298873474109266 mAP=0.6385170674361558 [Epoch 33][Batch 99], Speed: 57.581 samples/sec, CrossEntropy=2.741, SmoothL1=1.354 [Epoch 33][Batch 199], Speed: 314.007 samples/sec, CrossEntropy=2.753, SmoothL1=1.382 [Epoch 33][Batch 299], Speed: 97.194 samples/sec, CrossEntropy=2.767, SmoothL1=1.381 [Epoch 33][Batch 399], Speed: 124.152 samples/sec, CrossEntropy=2.766, SmoothL1=1.376 [Epoch 33][Batch 499], Speed: 284.589 samples/sec, CrossEntropy=2.772, SmoothL1=1.386 [Epoch 33] Training cost: 252.524, CrossEntropy=2.775, SmoothL1=1.386 [Epoch 33] Validation: aeroplane=0.6488173501866172 bicycle=0.697365809835388 bird=0.6377756642581606 boat=0.4704814749202389 bottle=0.404778206361507 bus=0.7041444737275367 car=0.8054996310156173 cat=0.8098980978109148 chair=0.4734752784464988 cow=0.517311366163144 diningtable=0.587925366446654 dog=0.7481712377547832 horse=0.72697215848282 motorbike=0.7002471979464494 person=0.7245969205967193 pottedplant=0.3246316234859933 sheep=0.6678374923535841 sofa=0.652585068200588 train=0.7147987056720909 tvmonitor=0.6288204565388504 mAP=0.6323066790102079 [Epoch 34][Batch 99], Speed: 61.124 samples/sec, CrossEntropy=2.776, SmoothL1=1.369 [Epoch 34][Batch 199], Speed: 300.430 samples/sec, CrossEntropy=2.754, SmoothL1=1.351 [Epoch 34][Batch 299], Speed: 33.397 samples/sec, CrossEntropy=2.762, SmoothL1=1.360 [Epoch 34][Batch 399], Speed: 46.851 samples/sec, CrossEntropy=2.758, SmoothL1=1.357 [Epoch 34][Batch 499], Speed: 263.236 samples/sec, CrossEntropy=2.761, SmoothL1=1.365 [Epoch 34] Training cost: 250.187, CrossEntropy=2.762, SmoothL1=1.367 [Epoch 34] Validation: aeroplane=0.6510509464746054 bicycle=0.7345697623327619 bird=0.647930607595159 boat=0.4787579658798176 bottle=0.38773430375098533 bus=0.7418789102834251 car=0.8044550937763153 cat=0.8130187119832583 chair=0.4676427632526482 cow=0.6064276324929382 diningtable=0.6049483524133855 dog=0.7613416198847069 horse=0.738753087614177 motorbike=0.716122109129875 person=0.7322908062630843 pottedplant=0.29904193228375986 sheep=0.658924408722297 sofa=0.6532181625200654 train=0.7052662181676272 tvmonitor=0.6533610240268831 mAP=0.6428367209423889 [Epoch 35][Batch 99], Speed: 254.226 samples/sec, CrossEntropy=2.765, SmoothL1=1.358 [Epoch 35][Batch 199], Speed: 307.494 samples/sec, CrossEntropy=2.764, SmoothL1=1.367 [Epoch 35][Batch 299], Speed: 187.260 samples/sec, CrossEntropy=2.749, SmoothL1=1.355 [Epoch 35][Batch 399], Speed: 304.009 samples/sec, CrossEntropy=2.753, SmoothL1=1.365 [Epoch 35][Batch 499], Speed: 67.336 samples/sec, CrossEntropy=2.753, SmoothL1=1.361 [Epoch 35] Training cost: 248.356, CrossEntropy=2.755, SmoothL1=1.363 [Epoch 35] Validation: aeroplane=0.6620052821050851 bicycle=0.6804673894150466 bird=0.6611375111403469 boat=0.4581659930751815 bottle=0.3969416907958982 bus=0.7280190131565808 car=0.8031368213724202 cat=0.791777000271682 chair=0.47407808819481434 cow=0.6187955868772386 diningtable=0.5437996208513111 dog=0.7541851178547364 horse=0.7596850377877443 motorbike=0.7302714734747043 person=0.7246407485673481 pottedplant=0.3108359278347284 sheep=0.6761382176550131 sofa=0.6620434439381637 train=0.7072847697941258 tvmonitor=0.667552926604188 mAP=0.640548083038318 [Epoch 36][Batch 99], Speed: 50.383 samples/sec, CrossEntropy=2.722, SmoothL1=1.352 [Epoch 36][Batch 199], Speed: 46.067 samples/sec, CrossEntropy=2.742, SmoothL1=1.355 [Epoch 36][Batch 299], Speed: 51.943 samples/sec, CrossEntropy=2.748, SmoothL1=1.366 [Epoch 36][Batch 399], Speed: 173.516 samples/sec, CrossEntropy=2.748, SmoothL1=1.359 [Epoch 36][Batch 499], Speed: 124.051 samples/sec, CrossEntropy=2.745, SmoothL1=1.358 [Epoch 36] Training cost: 250.284, CrossEntropy=2.747, SmoothL1=1.358 [Epoch 36] Validation: aeroplane=0.6662868029917314 bicycle=0.7257062242886408 bird=0.6510530921375851 boat=0.5172419535693032 bottle=0.40149788242998996 bus=0.725515643292265 car=0.8106949767554915 cat=0.813085473264461 chair=0.4558153824461164 cow=0.646789042074014 diningtable=0.6013544224203907 dog=0.7633322417171021 horse=0.7144758575393263 motorbike=0.7142808016128038 person=0.7209941071848767 pottedplant=0.31891250618138534 sheep=0.6845510965132069 sofa=0.6436707258302682 train=0.7164773827903217 tvmonitor=0.6368889223484113 mAP=0.6464312268693846 [Epoch 37][Batch 99], Speed: 118.813 samples/sec, CrossEntropy=2.708, SmoothL1=1.331 [Epoch 37][Batch 199], Speed: 195.983 samples/sec, CrossEntropy=2.714, SmoothL1=1.341 [Epoch 37][Batch 299], Speed: 316.566 samples/sec, CrossEntropy=2.724, SmoothL1=1.342 [Epoch 37][Batch 399], Speed: 305.819 samples/sec, CrossEntropy=2.723, SmoothL1=1.344 [Epoch 37][Batch 499], Speed: 28.273 samples/sec, CrossEntropy=2.724, SmoothL1=1.349 [Epoch 37] Training cost: 248.951, CrossEntropy=2.724, SmoothL1=1.347 [Epoch 37] Validation: aeroplane=0.6705917444222834 bicycle=0.7435214891482148 bird=0.6610882207293515 boat=0.49710293984361126 bottle=0.42480282913130124 bus=0.7426368417632248 car=0.8072617241204574 cat=0.8136100563940217 chair=0.47638858375067206 cow=0.6451026537145742 diningtable=0.604772662765971 dog=0.7779081980142744 horse=0.7546012292330884 motorbike=0.747102175080053 person=0.7355909754329071 pottedplant=0.3324517524848164 sheep=0.6835227197105008 sofa=0.654676788043065 train=0.7257583739024727 tvmonitor=0.6558198419289362 mAP=0.6577155899806899 [Epoch 38][Batch 99], Speed: 38.530 samples/sec, CrossEntropy=2.725, SmoothL1=1.377 [Epoch 38][Batch 199], Speed: 309.746 samples/sec, CrossEntropy=2.705, SmoothL1=1.344 [Epoch 38][Batch 299], Speed: 314.734 samples/sec, CrossEntropy=2.720, SmoothL1=1.350 [Epoch 38][Batch 399], Speed: 149.022 samples/sec, CrossEntropy=2.719, SmoothL1=1.346 [Epoch 38][Batch 499], Speed: 51.886 samples/sec, CrossEntropy=2.723, SmoothL1=1.349 [Epoch 38] Training cost: 249.708, CrossEntropy=2.724, SmoothL1=1.349 [Epoch 38] Validation: aeroplane=0.6874067769795635 bicycle=0.7454727812294206 bird=0.6479710864109501 boat=0.49176930169524236 bottle=0.3912487513669998 bus=0.7311162381376929 car=0.8129241903036536 cat=0.8236764739432353 chair=0.46842282723559847 cow=0.6494191726161458 diningtable=0.6056700221412974 dog=0.7748229703027397 horse=0.7451579921211167 motorbike=0.7410976341856501 person=0.7274899386055177 pottedplant=0.33785844751176 sheep=0.6846220935524955 sofa=0.634369538273962 train=0.7411335033717321 tvmonitor=0.666381614146752 mAP=0.6554015677065762 [Epoch 39][Batch 99], Speed: 249.234 samples/sec, CrossEntropy=2.723, SmoothL1=1.357 [Epoch 39][Batch 199], Speed: 302.678 samples/sec, CrossEntropy=2.712, SmoothL1=1.342 [Epoch 39][Batch 299], Speed: 58.283 samples/sec, CrossEntropy=2.715, SmoothL1=1.348 [Epoch 39][Batch 399], Speed: 310.344 samples/sec, CrossEntropy=2.712, SmoothL1=1.356 [Epoch 39][Batch 499], Speed: 44.159 samples/sec, CrossEntropy=2.708, SmoothL1=1.350 [Epoch 39] Training cost: 250.318, CrossEntropy=2.710, SmoothL1=1.350 [Epoch 39] Validation: aeroplane=0.7114161499303645 bicycle=0.7544748677138243 bird=0.6456004714921842 boat=0.49316267286389015 bottle=0.3958980513968142 bus=0.733172540443768 car=0.803471066757303 cat=0.8073801445806796 chair=0.4691781934396169 cow=0.626834877037663 diningtable=0.6081152917177861 dog=0.7689019749503849 horse=0.7381873012399393 motorbike=0.7470276495128734 person=0.7212419150464702 pottedplant=0.3431305925280539 sheep=0.6836794562759732 sofa=0.6512362698115275 train=0.7318930162113639 tvmonitor=0.6604160258034582 mAP=0.654720926437697 [Epoch 40][Batch 99], Speed: 37.899 samples/sec, CrossEntropy=2.707, SmoothL1=1.360 [Epoch 40][Batch 199], Speed: 184.555 samples/sec, CrossEntropy=2.713, SmoothL1=1.354 [Epoch 40][Batch 299], Speed: 177.010 samples/sec, CrossEntropy=2.712, SmoothL1=1.339 [Epoch 40][Batch 399], Speed: 232.686 samples/sec, CrossEntropy=2.710, SmoothL1=1.344 [Epoch 40][Batch 499], Speed: 316.607 samples/sec, CrossEntropy=2.705, SmoothL1=1.340 [Epoch 40] Training cost: 248.398, CrossEntropy=2.706, SmoothL1=1.340 [Epoch 40] Validation: aeroplane=0.6437530873185804 bicycle=0.7801487316388872 bird=0.6433900040517834 boat=0.45894301611877086 bottle=0.4117540412591145 bus=0.7305122633177449 car=0.80112125698433 cat=0.7985306618112681 chair=0.46768935453919025 cow=0.6876796266383288 diningtable=0.6098152409405365 dog=0.7667889405749118 horse=0.7322761010278034 motorbike=0.7387358102408894 person=0.7388186260741769 pottedplant=0.3461395678597466 sheep=0.6932738583974706 sofa=0.6944503292591191 train=0.6967018568133642 tvmonitor=0.6519344432746411 mAP=0.6546228409070329 [Epoch 41][Batch 99], Speed: 298.640 samples/sec, CrossEntropy=2.697, SmoothL1=1.351 [Epoch 41][Batch 199], Speed: 285.921 samples/sec, CrossEntropy=2.692, SmoothL1=1.327 [Epoch 41][Batch 299], Speed: 108.300 samples/sec, CrossEntropy=2.691, SmoothL1=1.329 [Epoch 41][Batch 399], Speed: 35.598 samples/sec, CrossEntropy=2.694, SmoothL1=1.336 [Epoch 41][Batch 499], Speed: 107.644 samples/sec, CrossEntropy=2.693, SmoothL1=1.341 [Epoch 41] Training cost: 247.556, CrossEntropy=2.695, SmoothL1=1.341 [Epoch 41] Validation: aeroplane=0.6881064656289142 bicycle=0.7467704246144052 bird=0.6481615995303699 boat=0.5250643297719718 bottle=0.4211878283802604 bus=0.7669062089228715 car=0.8045404834796858 cat=0.8096453926822665 chair=0.4642556549131243 cow=0.6861149918137411 diningtable=0.6013994572737348 dog=0.7778182146297441 horse=0.7553454690413772 motorbike=0.7450667341131567 person=0.7296961835742951 pottedplant=0.3340569944260585 sheep=0.6986565382361816 sofa=0.6731649690002344 train=0.7457031106113804 tvmonitor=0.6636434095584373 mAP=0.6642652230101106 [Epoch 42][Batch 99], Speed: 304.624 samples/sec, CrossEntropy=2.638, SmoothL1=1.276 [Epoch 42][Batch 199], Speed: 53.248 samples/sec, CrossEntropy=2.663, SmoothL1=1.307 [Epoch 42][Batch 299], Speed: 31.252 samples/sec, CrossEntropy=2.666, SmoothL1=1.317 [Epoch 42][Batch 399], Speed: 308.513 samples/sec, CrossEntropy=2.678, SmoothL1=1.329 [Epoch 42][Batch 499], Speed: 130.235 samples/sec, CrossEntropy=2.681, SmoothL1=1.326 [Epoch 42] Training cost: 252.030, CrossEntropy=2.682, SmoothL1=1.333 [Epoch 42] Validation: aeroplane=0.6773362010038465 bicycle=0.7555163290308441 bird=0.6602422994633346 boat=0.5134560123294241 bottle=0.4143189934072764 bus=0.748540462676232 car=0.8106453008001951 cat=0.808530759204533 chair=0.4681633623317158 cow=0.670321152382936 diningtable=0.5701901767823221 dog=0.7606341980183234 horse=0.7426544334188413 motorbike=0.7474567727233029 person=0.7295703035670064 pottedplant=0.3320790971117294 sheep=0.6663129604844152 sofa=0.6455751601655378 train=0.7415178111222278 tvmonitor=0.6607881051556836 mAP=0.6561924945589863 [Epoch 43][Batch 99], Speed: 309.873 samples/sec, CrossEntropy=2.678, SmoothL1=1.320 [Epoch 43][Batch 199], Speed: 212.366 samples/sec, CrossEntropy=2.677, SmoothL1=1.323 [Epoch 43][Batch 299], Speed: 34.212 samples/sec, CrossEntropy=2.664, SmoothL1=1.324 [Epoch 43][Batch 399], Speed: 84.563 samples/sec, CrossEntropy=2.661, SmoothL1=1.321 [Epoch 43][Batch 499], Speed: 267.621 samples/sec, CrossEntropy=2.662, SmoothL1=1.319 [Epoch 43] Training cost: 248.372, CrossEntropy=2.662, SmoothL1=1.318 [Epoch 43] Validation: aeroplane=0.706416652041726 bicycle=0.7523713048796513 bird=0.6885761678792818 boat=0.5037126976390259 bottle=0.4223113331078523 bus=0.7416202364300561 car=0.7999872126660916 cat=0.8078431588053295 chair=0.47024980031724495 cow=0.7077253756681858 diningtable=0.6106914428241689 dog=0.7753836579351107 horse=0.7662229343856836 motorbike=0.7346225578412842 person=0.7393286676519187 pottedplant=0.3378461205934454 sheep=0.6851184735307322 sofa=0.6788296980120601 train=0.7289536207836861 tvmonitor=0.6472411391632649 mAP=0.66525261260779 [Epoch 44][Batch 99], Speed: 86.946 samples/sec, CrossEntropy=2.686, SmoothL1=1.299 [Epoch 44][Batch 199], Speed: 282.242 samples/sec, CrossEntropy=2.656, SmoothL1=1.302 [Epoch 44][Batch 299], Speed: 273.113 samples/sec, CrossEntropy=2.653, SmoothL1=1.302 [Epoch 44][Batch 399], Speed: 41.010 samples/sec, CrossEntropy=2.654, SmoothL1=1.296 [Epoch 44][Batch 499], Speed: 156.816 samples/sec, CrossEntropy=2.656, SmoothL1=1.303 [Epoch 44] Training cost: 248.603, CrossEntropy=2.657, SmoothL1=1.303 [Epoch 44] Validation: aeroplane=0.6985033417444741 bicycle=0.7549997752499834 bird=0.664272203769149 boat=0.5187088547565427 bottle=0.4308350141914011 bus=0.7540987365870996 car=0.8106002784370917 cat=0.8154885435044571 chair=0.4690276455672533 cow=0.683900838826004 diningtable=0.601471794858596 dog=0.7666698608339374 horse=0.7460479289210823 motorbike=0.7415510327972991 person=0.732341828486339 pottedplant=0.339879306952698 sheep=0.7108792900049172 sofa=0.6580933212295503 train=0.7484323465901339 tvmonitor=0.6656739014762937 mAP=0.6655737922392152 [Epoch 45][Batch 99], Speed: 24.117 samples/sec, CrossEntropy=2.646, SmoothL1=1.313 [Epoch 45][Batch 199], Speed: 82.237 samples/sec, CrossEntropy=2.649, SmoothL1=1.307 [Epoch 45][Batch 299], Speed: 316.190 samples/sec, CrossEntropy=2.658, SmoothL1=1.305 [Epoch 45][Batch 399], Speed: 27.360 samples/sec, CrossEntropy=2.661, SmoothL1=1.310 [Epoch 45][Batch 499], Speed: 92.906 samples/sec, CrossEntropy=2.655, SmoothL1=1.313 [Epoch 45] Training cost: 249.434, CrossEntropy=2.652, SmoothL1=1.311 [Epoch 45] Validation: aeroplane=0.6555117527992561 bicycle=0.7538192012086344 bird=0.6633613064595208 boat=0.5510767863131664 bottle=0.4305670973502081 bus=0.7557655058793312 car=0.8053091333927238 cat=0.8344257149569704 chair=0.49004830363831076 cow=0.6957605127866412 diningtable=0.5889542975842922 dog=0.7662035173361318 horse=0.7687193191242238 motorbike=0.7540921651716268 person=0.7390378634447502 pottedplant=0.3413838947576077 sheep=0.6560194450923709 sofa=0.6630160739093024 train=0.7500433370429505 tvmonitor=0.678667251268505 mAP=0.6670891239758262 [Epoch 46][Batch 99], Speed: 303.015 samples/sec, CrossEntropy=2.642, SmoothL1=1.287 [Epoch 46][Batch 199], Speed: 32.299 samples/sec, CrossEntropy=2.642, SmoothL1=1.305 [Epoch 46][Batch 299], Speed: 138.789 samples/sec, CrossEntropy=2.645, SmoothL1=1.309 [Epoch 46][Batch 399], Speed: 30.400 samples/sec, CrossEntropy=2.642, SmoothL1=1.310 [Epoch 46][Batch 499], Speed: 198.354 samples/sec, CrossEntropy=2.640, SmoothL1=1.313 [Epoch 46] Training cost: 249.757, CrossEntropy=2.640, SmoothL1=1.314 [Epoch 46] Validation: aeroplane=0.6873560982527546 bicycle=0.749724829482872 bird=0.6738047658944565 boat=0.5341080978928152 bottle=0.44445630032875555 bus=0.7669320206129678 car=0.8222766529849328 cat=0.8144129296660736 chair=0.48305142988001243 cow=0.6604396859314308 diningtable=0.6245499941096878 dog=0.7735064424884353 horse=0.749580621379536 motorbike=0.7293641712262805 person=0.734996492866742 pottedplant=0.3359679390937585 sheep=0.7231959461487745 sofa=0.6844549171369719 train=0.7576051986419917 tvmonitor=0.6829389528643598 mAP=0.6716361743441804 [Epoch 47][Batch 99], Speed: 318.427 samples/sec, CrossEntropy=2.605, SmoothL1=1.273 [Epoch 47][Batch 199], Speed: 59.489 samples/sec, CrossEntropy=2.628, SmoothL1=1.303 [Epoch 47][Batch 299], Speed: 101.806 samples/sec, CrossEntropy=2.630, SmoothL1=1.307 [Epoch 47][Batch 399], Speed: 31.579 samples/sec, CrossEntropy=2.633, SmoothL1=1.300 [Epoch 47][Batch 499], Speed: 317.645 samples/sec, CrossEntropy=2.634, SmoothL1=1.301 [Epoch 47] Training cost: 250.793, CrossEntropy=2.634, SmoothL1=1.303 [Epoch 47] Validation: aeroplane=0.6642181805444869 bicycle=0.7696443518663832 bird=0.6778696800849787 boat=0.4784966778093595 bottle=0.4461740434279735 bus=0.7514961851020391 car=0.8116577589968395 cat=0.8019813623388 chair=0.455847516895046 cow=0.6823574456216744 diningtable=0.6178120864573391 dog=0.7570441347599124 horse=0.7480597936860596 motorbike=0.7383495766871253 person=0.7354182100602492 pottedplant=0.3681599375809677 sheep=0.7100043635832367 sofa=0.6734928350653747 train=0.7531306505832915 tvmonitor=0.6843273929066963 mAP=0.6662771092028916 [Epoch 48][Batch 99], Speed: 28.626 samples/sec, CrossEntropy=2.627, SmoothL1=1.275 [Epoch 48][Batch 199], Speed: 315.835 samples/sec, CrossEntropy=2.624, SmoothL1=1.288 [Epoch 48][Batch 299], Speed: 275.168 samples/sec, CrossEntropy=2.631, SmoothL1=1.293 [Epoch 48][Batch 399], Speed: 44.938 samples/sec, CrossEntropy=2.628, SmoothL1=1.287 [Epoch 48][Batch 499], Speed: 43.968 samples/sec, CrossEntropy=2.632, SmoothL1=1.288 [Epoch 48] Training cost: 251.897, CrossEntropy=2.633, SmoothL1=1.291 [Epoch 48] Validation: aeroplane=0.7066876645647763 bicycle=0.7741936604058297 bird=0.6569295142954025 boat=0.5370510043271483 bottle=0.4394307759016879 bus=0.7774045695456903 car=0.8080613030728455 cat=0.8209236366621435 chair=0.4825696886869071 cow=0.681315590078267 diningtable=0.6162524747918957 dog=0.7741888833498878 horse=0.757596734867898 motorbike=0.7555900966982003 person=0.7381692704644442 pottedplant=0.35457749413522643 sheep=0.7022690021908242 sofa=0.6627684134314679 train=0.7486658304810585 tvmonitor=0.6691184741563777 mAP=0.6731882041053989 [Epoch 49][Batch 99], Speed: 59.966 samples/sec, CrossEntropy=2.643, SmoothL1=1.305 [Epoch 49][Batch 199], Speed: 70.423 samples/sec, CrossEntropy=2.636, SmoothL1=1.305 [Epoch 49][Batch 299], Speed: 86.743 samples/sec, CrossEntropy=2.631, SmoothL1=1.299 [Epoch 49][Batch 399], Speed: 299.926 samples/sec, CrossEntropy=2.633, SmoothL1=1.310 [Epoch 49][Batch 499], Speed: 309.604 samples/sec, CrossEntropy=2.634, SmoothL1=1.306 [Epoch 49] Training cost: 248.920, CrossEntropy=2.637, SmoothL1=1.306 [Epoch 49] Validation: aeroplane=0.666168212419055 bicycle=0.7654354412714972 bird=0.6744029301380058 boat=0.5346207045123923 bottle=0.44311082794564693 bus=0.7695815511264659 car=0.8164281902683204 cat=0.8153919710437828 chair=0.4892486854954085 cow=0.7048835810239821 diningtable=0.6173141452569012 dog=0.7783676905132373 horse=0.7710906646001415 motorbike=0.7531826150664332 person=0.745864408535136 pottedplant=0.36176483786135 sheep=0.7214957281486168 sofa=0.6727583734900857 train=0.7691692377070395 tvmonitor=0.6756541665055457 mAP=0.6772966981464521 [Epoch 50][Batch 99], Speed: 114.130 samples/sec, CrossEntropy=2.590, SmoothL1=1.294 [Epoch 50][Batch 199], Speed: 319.362 samples/sec, CrossEntropy=2.592, SmoothL1=1.279 [Epoch 50][Batch 299], Speed: 42.952 samples/sec, CrossEntropy=2.606, SmoothL1=1.276 [Epoch 50][Batch 399], Speed: 22.014 samples/sec, CrossEntropy=2.608, SmoothL1=1.286 [Epoch 50][Batch 499], Speed: 307.888 samples/sec, CrossEntropy=2.611, SmoothL1=1.286 [Epoch 50] Training cost: 252.952, CrossEntropy=2.613, SmoothL1=1.287 [Epoch 50] Validation: aeroplane=0.7076212669437291 bicycle=0.7659593266626467 bird=0.6833461121624587 boat=0.5396917472076775 bottle=0.4129275578816407 bus=0.7635673965916863 car=0.8039083479715404 cat=0.8072766092504584 chair=0.4904039441267106 cow=0.701374999966965 diningtable=0.5843914727391567 dog=0.7546402859269192 horse=0.7628754216397545 motorbike=0.7662438508226138 person=0.7363831691059588 pottedplant=0.338295284665043 sheep=0.7166575038126368 sofa=0.645634507213845 train=0.7725995263777128 tvmonitor=0.6782554132197922 mAP=0.6716026872144474 [Epoch 51][Batch 99], Speed: 90.469 samples/sec, CrossEntropy=2.610, SmoothL1=1.301 [Epoch 51][Batch 199], Speed: 36.390 samples/sec, CrossEntropy=2.611, SmoothL1=1.301 [Epoch 51][Batch 299], Speed: 85.807 samples/sec, CrossEntropy=2.602, SmoothL1=1.293 [Epoch 51][Batch 399], Speed: 22.130 samples/sec, CrossEntropy=2.606, SmoothL1=1.298 [Epoch 51][Batch 499], Speed: 42.108 samples/sec, CrossEntropy=2.610, SmoothL1=1.302 [Epoch 51] Training cost: 249.449, CrossEntropy=2.608, SmoothL1=1.300 [Epoch 51] Validation: aeroplane=0.699000591299834 bicycle=0.7755322017208608 bird=0.664005766012663 boat=0.5681667650356865 bottle=0.4177709160939327 bus=0.7708760423443192 car=0.8166939265847238 cat=0.8146389940030299 chair=0.46558397290204806 cow=0.6954621220920626 diningtable=0.6038056905809907 dog=0.7737624783587987 horse=0.7732213677708402 motorbike=0.7404606910440442 person=0.7428721846516941 pottedplant=0.35643147339474085 sheep=0.7082894923722782 sofa=0.6812284352869069 train=0.7632427914157804 tvmonitor=0.6662632536358755 mAP=0.6748654578300556 [Epoch 52][Batch 99], Speed: 310.260 samples/sec, CrossEntropy=2.611, SmoothL1=1.309 [Epoch 52][Batch 199], Speed: 95.334 samples/sec, CrossEntropy=2.600, SmoothL1=1.280 [Epoch 52][Batch 299], Speed: 319.803 samples/sec, CrossEntropy=2.602, SmoothL1=1.278 [Epoch 52][Batch 399], Speed: 39.676 samples/sec, CrossEntropy=2.597, SmoothL1=1.278 [Epoch 52][Batch 499], Speed: 308.026 samples/sec, CrossEntropy=2.598, SmoothL1=1.285 [Epoch 52] Training cost: 250.770, CrossEntropy=2.598, SmoothL1=1.285 [Epoch 52] Validation: aeroplane=0.7296069346462212 bicycle=0.7632290175923161 bird=0.6819242012351142 boat=0.5035843615894635 bottle=0.41027199605786796 bus=0.7558195436739954 car=0.8182673277059339 cat=0.8240315443251855 chair=0.4859246201399022 cow=0.6938933330133084 diningtable=0.6077179170630267 dog=0.773553804506826 horse=0.7615346994478773 motorbike=0.7471881535062368 person=0.7311573988094453 pottedplant=0.3285611685112893 sheep=0.6932097245270961 sofa=0.6689954597383535 train=0.757988686196772 tvmonitor=0.6763245543447696 mAP=0.67063922233155 [Epoch 53][Batch 99], Speed: 30.335 samples/sec, CrossEntropy=2.572, SmoothL1=1.254 [Epoch 53][Batch 199], Speed: 308.698 samples/sec, CrossEntropy=2.573, SmoothL1=1.264 [Epoch 53][Batch 299], Speed: 273.696 samples/sec, CrossEntropy=2.580, SmoothL1=1.262 [Epoch 53][Batch 399], Speed: 58.128 samples/sec, CrossEntropy=2.582, SmoothL1=1.267 [Epoch 53][Batch 499], Speed: 313.104 samples/sec, CrossEntropy=2.588, SmoothL1=1.269 [Epoch 53] Training cost: 247.844, CrossEntropy=2.589, SmoothL1=1.269 [Epoch 53] Validation: aeroplane=0.6580383435116895 bicycle=0.7624128260612885 bird=0.6803735224871043 boat=0.5210488517397359 bottle=0.4460636907600356 bus=0.7718501839681504 car=0.8190310977175493 cat=0.8151665020712842 chair=0.49189590217911644 cow=0.6850836550970268 diningtable=0.5744413882254149 dog=0.7771538007537976 horse=0.7739246906628969 motorbike=0.7478106892439397 person=0.7390543337473804 pottedplant=0.31528841791013923 sheep=0.7261085738253432 sofa=0.6990592912898466 train=0.7853196614391331 tvmonitor=0.6772154468190771 mAP=0.6733170434754975 [Epoch 54][Batch 99], Speed: 32.258 samples/sec, CrossEntropy=2.600, SmoothL1=1.304 [Epoch 54][Batch 199], Speed: 62.702 samples/sec, CrossEntropy=2.587, SmoothL1=1.305 [Epoch 54][Batch 299], Speed: 17.202 samples/sec, CrossEntropy=2.582, SmoothL1=1.285 [Epoch 54][Batch 399], Speed: 26.488 samples/sec, CrossEntropy=2.588, SmoothL1=1.284 [Epoch 54][Batch 499], Speed: 307.872 samples/sec, CrossEntropy=2.583, SmoothL1=1.278 [Epoch 54] Training cost: 249.849, CrossEntropy=2.585, SmoothL1=1.279 [Epoch 54] Validation: aeroplane=0.6904330732896881 bicycle=0.7548448962390529 bird=0.6807255565297874 boat=0.5615381687721428 bottle=0.4371493341070282 bus=0.743024819119519 car=0.8171739803103416 cat=0.8092493845579073 chair=0.4756518431873408 cow=0.7060891525419017 diningtable=0.6255604072496666 dog=0.7738614286403408 horse=0.7625359088909437 motorbike=0.7596848249505004 person=0.741971364895399 pottedplant=0.3536183252100311 sheep=0.6483023651294945 sofa=0.6605818034277803 train=0.7570702481021357 tvmonitor=0.6874841442719903 mAP=0.6723275514711495 [Epoch 55][Batch 99], Speed: 19.433 samples/sec, CrossEntropy=2.576, SmoothL1=1.306 [Epoch 55][Batch 199], Speed: 41.357 samples/sec, CrossEntropy=2.572, SmoothL1=1.281 [Epoch 55][Batch 299], Speed: 52.438 samples/sec, CrossEntropy=2.571, SmoothL1=1.278 [Epoch 55][Batch 399], Speed: 263.770 samples/sec, CrossEntropy=2.574, SmoothL1=1.273 [Epoch 55][Batch 499], Speed: 22.405 samples/sec, CrossEntropy=2.575, SmoothL1=1.272 [Epoch 55] Training cost: 250.685, CrossEntropy=2.575, SmoothL1=1.271 [Epoch 55] Validation: aeroplane=0.6547463634964883 bicycle=0.767742059477627 bird=0.6637308173044573 boat=0.5203746717816088 bottle=0.4376907026748463 bus=0.7624997131593889 car=0.8274145893376803 cat=0.8171187326004814 chair=0.4841136028896835 cow=0.6905992131013733 diningtable=0.6010544420110827 dog=0.7766407541563458 horse=0.7811937929256105 motorbike=0.7599270127821838 person=0.7425905098933159 pottedplant=0.35134136081674133 sheep=0.7113743876085409 sofa=0.663658901703098 train=0.7653693514627654 tvmonitor=0.6774563576961221 mAP=0.6728318668439721 [Epoch 56][Batch 99], Speed: 310.532 samples/sec, CrossEntropy=2.571, SmoothL1=1.251 [Epoch 56][Batch 199], Speed: 37.692 samples/sec, CrossEntropy=2.549, SmoothL1=1.259 [Epoch 56][Batch 299], Speed: 256.501 samples/sec, CrossEntropy=2.556, SmoothL1=1.259 [Epoch 56][Batch 399], Speed: 101.179 samples/sec, CrossEntropy=2.558, SmoothL1=1.263 [Epoch 56][Batch 499], Speed: 306.551 samples/sec, CrossEntropy=2.559, SmoothL1=1.267 [Epoch 56] Training cost: 246.796, CrossEntropy=2.562, SmoothL1=1.269 [Epoch 56] Validation: aeroplane=0.6995992086388777 bicycle=0.7674242440498552 bird=0.6853835606360045 boat=0.560022472253759 bottle=0.4150189112397359 bus=0.7808204234294551 car=0.8161729331295828 cat=0.823661950488072 chair=0.48900380313828395 cow=0.7117202815270226 diningtable=0.6085472607331612 dog=0.7936736147830593 horse=0.7697822179053981 motorbike=0.7638435950230922 person=0.7384052359798309 pottedplant=0.37858833730046537 sheep=0.7296147715548378 sofa=0.6976473616001266 train=0.7814677061892907 tvmonitor=0.6881818123597911 mAP=0.684928985097985 [Epoch 57][Batch 99], Speed: 276.392 samples/sec, CrossEntropy=2.546, SmoothL1=1.261 [Epoch 57][Batch 199], Speed: 51.951 samples/sec, CrossEntropy=2.556, SmoothL1=1.274 [Epoch 57][Batch 299], Speed: 94.388 samples/sec, CrossEntropy=2.565, SmoothL1=1.276 [Epoch 57][Batch 399], Speed: 39.614 samples/sec, CrossEntropy=2.562, SmoothL1=1.267 [Epoch 57][Batch 499], Speed: 22.951 samples/sec, CrossEntropy=2.565, SmoothL1=1.272 [Epoch 57] Training cost: 247.959, CrossEntropy=2.563, SmoothL1=1.272 [Epoch 57] Validation: aeroplane=0.7150122190897629 bicycle=0.7551614798611362 bird=0.6826994609073989 boat=0.5043687817542911 bottle=0.43406805150314576 bus=0.7484828497564058 car=0.8193326900912837 cat=0.8045005429436354 chair=0.4977742255035502 cow=0.6416666109237735 diningtable=0.634823268493621 dog=0.7757317448614616 horse=0.7673273292431834 motorbike=0.7663559703980356 person=0.7358432117116546 pottedplant=0.36410421470563564 sheep=0.6788292828652441 sofa=0.685645108638413 train=0.7355093504923014 tvmonitor=0.6751931189586625 mAP=0.6711214756351299 [Epoch 58][Batch 99], Speed: 258.038 samples/sec, CrossEntropy=2.509, SmoothL1=1.229 [Epoch 58][Batch 199], Speed: 88.258 samples/sec, CrossEntropy=2.545, SmoothL1=1.257 [Epoch 58][Batch 299], Speed: 141.366 samples/sec, CrossEntropy=2.548, SmoothL1=1.255 [Epoch 58][Batch 399], Speed: 40.600 samples/sec, CrossEntropy=2.547, SmoothL1=1.261 [Epoch 58][Batch 499], Speed: 61.732 samples/sec, CrossEntropy=2.550, SmoothL1=1.260 [Epoch 58] Training cost: 248.207, CrossEntropy=2.550, SmoothL1=1.259 [Epoch 58] Validation: aeroplane=0.6980880166902692 bicycle=0.7864052077646869 bird=0.6845477223573682 boat=0.55601045036632 bottle=0.43167263781250936 bus=0.7717656256519526 car=0.8189473232972573 cat=0.81604337080948 chair=0.5076259670054981 cow=0.6994609124637157 diningtable=0.628195017054432 dog=0.7752034982130882 horse=0.7803380725592208 motorbike=0.7602612712328244 person=0.7431633169182374 pottedplant=0.3715937869883847 sheep=0.7048002504032491 sofa=0.6941147386663208 train=0.7759814863491722 tvmonitor=0.6768165542075338 mAP=0.684051761340576 [Epoch 59][Batch 99], Speed: 37.849 samples/sec, CrossEntropy=2.546, SmoothL1=1.260 [Epoch 59][Batch 199], Speed: 43.377 samples/sec, CrossEntropy=2.535, SmoothL1=1.265 [Epoch 59][Batch 299], Speed: 51.027 samples/sec, CrossEntropy=2.537, SmoothL1=1.260 [Epoch 59][Batch 399], Speed: 134.810 samples/sec, CrossEntropy=2.546, SmoothL1=1.260 [Epoch 59][Batch 499], Speed: 316.692 samples/sec, CrossEntropy=2.552, SmoothL1=1.263 [Epoch 59] Training cost: 251.700, CrossEntropy=2.553, SmoothL1=1.262 [Epoch 59] Validation: aeroplane=0.72319027215301 bicycle=0.7806814369764526 bird=0.6898200023603274 boat=0.5668366881828157 bottle=0.43449794307776485 bus=0.7552349938968651 car=0.822535121155308 cat=0.8332480874636609 chair=0.4943155218374987 cow=0.6616843417144813 diningtable=0.6449248975183918 dog=0.7950663399315373 horse=0.7566358961267566 motorbike=0.7744922453909352 person=0.748862401407594 pottedplant=0.3513552214431568 sheep=0.7205900771387531 sofa=0.6897167136123986 train=0.7659896763636096 tvmonitor=0.6807890968008219 mAP=0.684523348727607 [Epoch 60][Batch 99], Speed: 42.835 samples/sec, CrossEntropy=2.506, SmoothL1=1.243 [Epoch 60][Batch 199], Speed: 48.474 samples/sec, CrossEntropy=2.515, SmoothL1=1.243 [Epoch 60][Batch 299], Speed: 113.179 samples/sec, CrossEntropy=2.521, SmoothL1=1.247 [Epoch 60][Batch 399], Speed: 28.938 samples/sec, CrossEntropy=2.531, SmoothL1=1.252 [Epoch 60][Batch 499], Speed: 28.297 samples/sec, CrossEntropy=2.538, SmoothL1=1.251 [Epoch 60] Training cost: 251.218, CrossEntropy=2.537, SmoothL1=1.253 [Epoch 60] Validation: aeroplane=0.7058462757353682 bicycle=0.7827615893436839 bird=0.6873974803360393 boat=0.5301670107199388 bottle=0.46008750398071674 bus=0.7847799449607147 car=0.8220739286334352 cat=0.8228459789813666 chair=0.4891153565064319 cow=0.6862890499161514 diningtable=0.6449741564860975 dog=0.7896885030506218 horse=0.7757507280455785 motorbike=0.7748738517307471 person=0.7459511312950287 pottedplant=0.353278786781937 sheep=0.7319507182408563 sofa=0.7141808240791874 train=0.7906704271423385 tvmonitor=0.6944494458794053 mAP=0.6893566345922821 [Epoch 61][Batch 99], Speed: 45.871 samples/sec, CrossEntropy=2.518, SmoothL1=1.237 [Epoch 61][Batch 199], Speed: 318.322 samples/sec, CrossEntropy=2.527, SmoothL1=1.239 [Epoch 61][Batch 299], Speed: 271.600 samples/sec, CrossEntropy=2.528, SmoothL1=1.246 [Epoch 61][Batch 399], Speed: 319.829 samples/sec, CrossEntropy=2.524, SmoothL1=1.242 [Epoch 61][Batch 499], Speed: 32.059 samples/sec, CrossEntropy=2.523, SmoothL1=1.240 [Epoch 61] Training cost: 249.264, CrossEntropy=2.524, SmoothL1=1.239 [Epoch 61] Validation: aeroplane=0.7089315910844463 bicycle=0.7869342296158206 bird=0.6981595233967379 boat=0.5651035226347219 bottle=0.4535728707239045 bus=0.7699944679236576 car=0.817373141467831 cat=0.826030423226927 chair=0.4911419427904892 cow=0.7157748538848724 diningtable=0.6393986720515316 dog=0.7823859212071481 horse=0.7839581190290015 motorbike=0.7709527320221885 person=0.7475288912630075 pottedplant=0.3775682127132384 sheep=0.7197438204693395 sofa=0.6657140907501677 train=0.7963461034630156 tvmonitor=0.6738124349412502 mAP=0.6895212782329649 [Epoch 62][Batch 99], Speed: 154.423 samples/sec, CrossEntropy=2.549, SmoothL1=1.268 [Epoch 62][Batch 199], Speed: 40.159 samples/sec, CrossEntropy=2.542, SmoothL1=1.255 [Epoch 62][Batch 299], Speed: 249.170 samples/sec, CrossEntropy=2.533, SmoothL1=1.248 [Epoch 62][Batch 399], Speed: 77.642 samples/sec, CrossEntropy=2.532, SmoothL1=1.241 [Epoch 62][Batch 499], Speed: 33.630 samples/sec, CrossEntropy=2.529, SmoothL1=1.238 [Epoch 62] Training cost: 249.161, CrossEntropy=2.530, SmoothL1=1.239 [Epoch 62] Validation: aeroplane=0.716554352782838 bicycle=0.7885401175852466 bird=0.6928740016577334 boat=0.5586543030796673 bottle=0.4436806037755286 bus=0.7684753008235404 car=0.8159820739557017 cat=0.8222410729977888 chair=0.49454203780998235 cow=0.6908517778884385 diningtable=0.6379200310175027 dog=0.7952404129587841 horse=0.8026888783050626 motorbike=0.7680780136089017 person=0.7465907166560733 pottedplant=0.35994432808194055 sheep=0.7243215662424143 sofa=0.7071545192557017 train=0.7955914411227805 tvmonitor=0.6862398922898058 mAP=0.6908082720947717 [Epoch 63][Batch 99], Speed: 249.591 samples/sec, CrossEntropy=2.525, SmoothL1=1.248 [Epoch 63][Batch 199], Speed: 124.691 samples/sec, CrossEntropy=2.520, SmoothL1=1.233 [Epoch 63][Batch 299], Speed: 291.686 samples/sec, CrossEntropy=2.526, SmoothL1=1.248 [Epoch 63][Batch 399], Speed: 313.214 samples/sec, CrossEntropy=2.527, SmoothL1=1.246 [Epoch 63][Batch 499], Speed: 314.296 samples/sec, CrossEntropy=2.528, SmoothL1=1.239 [Epoch 63] Training cost: 251.005, CrossEntropy=2.528, SmoothL1=1.240 [Epoch 63] Validation: aeroplane=0.7076046349221452 bicycle=0.8010458067188271 bird=0.675342241598001 boat=0.5440398164149757 bottle=0.4623378142400892 bus=0.7621792884558337 car=0.8195182663599722 cat=0.8136552119811251 chair=0.515546061204319 cow=0.7248005213165092 diningtable=0.6199906717332239 dog=0.8025581256704487 horse=0.7881844567907165 motorbike=0.7729377534971569 person=0.74235199884404 pottedplant=0.39416770472898244 sheep=0.7211771207034701 sofa=0.7167223760351201 train=0.757035789091388 tvmonitor=0.6772768509501589 mAP=0.6909236255628252 [Epoch 64][Batch 99], Speed: 47.466 samples/sec, CrossEntropy=2.504, SmoothL1=1.223 [Epoch 64][Batch 199], Speed: 288.099 samples/sec, CrossEntropy=2.510, SmoothL1=1.207 [Epoch 64][Batch 299], Speed: 100.575 samples/sec, CrossEntropy=2.516, SmoothL1=1.229 [Epoch 64][Batch 399], Speed: 181.328 samples/sec, CrossEntropy=2.521, SmoothL1=1.225 [Epoch 64][Batch 499], Speed: 311.217 samples/sec, CrossEntropy=2.516, SmoothL1=1.228 [Epoch 64] Training cost: 247.954, CrossEntropy=2.517, SmoothL1=1.230 [Epoch 64] Validation: aeroplane=0.7104107510862392 bicycle=0.7784253253056816 bird=0.6956360872118692 boat=0.5753414146942761 bottle=0.45298253168826175 bus=0.7681466320655377 car=0.8206193466802537 cat=0.8348259227947116 chair=0.5028749050670106 cow=0.7035338012211021 diningtable=0.6287871268889433 dog=0.7843570860479673 horse=0.7715470656844089 motorbike=0.7580610466924793 person=0.740521540848389 pottedplant=0.3733287088642176 sheep=0.7317472132303908 sofa=0.7158989171888087 train=0.7978043562591107 tvmonitor=0.6852787197420523 mAP=0.6915064249630856 [Epoch 65][Batch 99], Speed: 60.600 samples/sec, CrossEntropy=2.508, SmoothL1=1.213 [Epoch 65][Batch 199], Speed: 85.073 samples/sec, CrossEntropy=2.523, SmoothL1=1.242 [Epoch 65][Batch 299], Speed: 321.954 samples/sec, CrossEntropy=2.519, SmoothL1=1.248 [Epoch 65][Batch 399], Speed: 98.587 samples/sec, CrossEntropy=2.516, SmoothL1=1.243 [Epoch 65][Batch 499], Speed: 316.623 samples/sec, CrossEntropy=2.512, SmoothL1=1.239 [Epoch 65] Training cost: 250.134, CrossEntropy=2.512, SmoothL1=1.237 [Epoch 65] Validation: aeroplane=0.7340395863192479 bicycle=0.7931365250982024 bird=0.703449999579982 boat=0.5773914958489605 bottle=0.45341016269203505 bus=0.7772245707316954 car=0.8230271986270666 cat=0.8059361908492421 chair=0.47977219714692787 cow=0.7176830472890894 diningtable=0.6592125194505103 dog=0.7765871426013444 horse=0.7800276842610115 motorbike=0.7624307696038168 person=0.7467244458683372 pottedplant=0.3970734690960519 sheep=0.7298806872129663 sofa=0.7111619632893262 train=0.781651136007726 tvmonitor=0.6953664112411894 mAP=0.6952593601407365 [Epoch 66][Batch 99], Speed: 71.609 samples/sec, CrossEntropy=2.477, SmoothL1=1.233 [Epoch 66][Batch 199], Speed: 36.407 samples/sec, CrossEntropy=2.494, SmoothL1=1.240 [Epoch 66][Batch 299], Speed: 272.120 samples/sec, CrossEntropy=2.505, SmoothL1=1.224 [Epoch 66][Batch 399], Speed: 310.079 samples/sec, CrossEntropy=2.504, SmoothL1=1.219 [Epoch 66][Batch 499], Speed: 59.962 samples/sec, CrossEntropy=2.508, SmoothL1=1.221 [Epoch 66] Training cost: 247.144, CrossEntropy=2.509, SmoothL1=1.224 [Epoch 66] Validation: aeroplane=0.739539945425106 bicycle=0.798325972122812 bird=0.6789401601432282 boat=0.559011909352328 bottle=0.4492411194698058 bus=0.7682214335970505 car=0.8171018772942673 cat=0.814931021511194 chair=0.5052315943044419 cow=0.7110048813385872 diningtable=0.6318315591211972 dog=0.7900050970729221 horse=0.7965777737931324 motorbike=0.7696166585755156 person=0.7454872674038543 pottedplant=0.377723458573011 sheep=0.732484120160953 sofa=0.7310528341256856 train=0.7787878350131703 tvmonitor=0.6958765897310086 mAP=0.6945496554064636 [Epoch 67][Batch 99], Speed: 78.975 samples/sec, CrossEntropy=2.468, SmoothL1=1.215 [Epoch 67][Batch 199], Speed: 117.232 samples/sec, CrossEntropy=2.486, SmoothL1=1.223 [Epoch 67][Batch 299], Speed: 156.211 samples/sec, CrossEntropy=2.496, SmoothL1=1.234 [Epoch 67][Batch 399], Speed: 311.975 samples/sec, CrossEntropy=2.502, SmoothL1=1.238 [Epoch 67][Batch 499], Speed: 291.433 samples/sec, CrossEntropy=2.503, SmoothL1=1.239 [Epoch 67] Training cost: 250.035, CrossEntropy=2.503, SmoothL1=1.239 [Epoch 67] Validation: aeroplane=0.7039871826374393 bicycle=0.7919169328674838 bird=0.7026353265053176 boat=0.5365467944504544 bottle=0.4242947401320732 bus=0.7887055367492 car=0.8271338104951477 cat=0.8218368339107477 chair=0.5051161678900375 cow=0.7330136839448428 diningtable=0.6526012412079016 dog=0.7825212058788444 horse=0.8039240460963507 motorbike=0.7805627843534922 person=0.7548568201072273 pottedplant=0.34641884905139675 sheep=0.7487228206416925 sofa=0.7003750614595988 train=0.7724632270205624 tvmonitor=0.6902568910317348 mAP=0.6933944978215772 [Epoch 68][Batch 99], Speed: 322.034 samples/sec, CrossEntropy=2.471, SmoothL1=1.219 [Epoch 68][Batch 199], Speed: 82.855 samples/sec, CrossEntropy=2.481, SmoothL1=1.219 [Epoch 68][Batch 299], Speed: 313.927 samples/sec, CrossEntropy=2.484, SmoothL1=1.232 [Epoch 68][Batch 399], Speed: 59.554 samples/sec, CrossEntropy=2.493, SmoothL1=1.238 [Epoch 68][Batch 499], Speed: 300.637 samples/sec, CrossEntropy=2.496, SmoothL1=1.237 [Epoch 68] Training cost: 251.230, CrossEntropy=2.499, SmoothL1=1.238 [Epoch 68] Validation: aeroplane=0.7220837649057759 bicycle=0.7972040110093918 bird=0.695800250325003 boat=0.5801827048639484 bottle=0.4558233268886726 bus=0.7878064614171616 car=0.8235611730584929 cat=0.8173803613900549 chair=0.49237231115844066 cow=0.693751062550424 diningtable=0.6551862422392992 dog=0.7643019948764744 horse=0.7983297426455855 motorbike=0.7795490207310395 person=0.7527996699957061 pottedplant=0.3774304203231082 sheep=0.7229238612512437 sofa=0.6954663678046955 train=0.7847302757311513 tvmonitor=0.6843051222131321 mAP=0.69404940726894 [Epoch 69][Batch 99], Speed: 313.193 samples/sec, CrossEntropy=2.507, SmoothL1=1.224 [Epoch 69][Batch 199], Speed: 316.012 samples/sec, CrossEntropy=2.504, SmoothL1=1.224 [Epoch 69][Batch 299], Speed: 317.059 samples/sec, CrossEntropy=2.504, SmoothL1=1.226 [Epoch 69][Batch 399], Speed: 94.339 samples/sec, CrossEntropy=2.504, SmoothL1=1.228 [Epoch 69][Batch 499], Speed: 290.970 samples/sec, CrossEntropy=2.505, SmoothL1=1.227 [Epoch 69] Training cost: 250.744, CrossEntropy=2.502, SmoothL1=1.225 [Epoch 69] Validation: aeroplane=0.7431448562629903 bicycle=0.7862704917626392 bird=0.7010988343598044 boat=0.5594809544128047 bottle=0.457537427317686 bus=0.7717189946421554 car=0.8186447374540651 cat=0.8003446638335876 chair=0.5109644736626048 cow=0.7186950432175643 diningtable=0.6711938492954955 dog=0.784388718711255 horse=0.8014570234040771 motorbike=0.7792274093858316 person=0.7469990011106447 pottedplant=0.38155480818601784 sheep=0.7340290788148448 sofa=0.716804875476462 train=0.8039709766927309 tvmonitor=0.7223860531465321 mAP=0.7004956135574898 [Epoch 70][Batch 99], Speed: 51.056 samples/sec, CrossEntropy=2.455, SmoothL1=1.189 [Epoch 70][Batch 199], Speed: 317.468 samples/sec, CrossEntropy=2.468, SmoothL1=1.213 [Epoch 70][Batch 299], Speed: 312.766 samples/sec, CrossEntropy=2.478, SmoothL1=1.215 [Epoch 70][Batch 399], Speed: 321.680 samples/sec, CrossEntropy=2.479, SmoothL1=1.218 [Epoch 70][Batch 499], Speed: 314.042 samples/sec, CrossEntropy=2.478, SmoothL1=1.214 [Epoch 70] Training cost: 248.225, CrossEntropy=2.478, SmoothL1=1.216 [Epoch 70] Validation: aeroplane=0.7298570052430484 bicycle=0.7667295162470962 bird=0.6842233180882191 boat=0.5598310550449456 bottle=0.4336188641416482 bus=0.7812036653135113 car=0.8258557179396698 cat=0.8141418952398151 chair=0.49578833099050296 cow=0.7356102264333494 diningtable=0.6634564410739593 dog=0.7931694861981653 horse=0.7957978776126036 motorbike=0.7769534671175826 person=0.7439604846793124 pottedplant=0.3700032204982457 sheep=0.7403446682363872 sofa=0.7051295154594072 train=0.7964725938259547 tvmonitor=0.711745895357216 mAP=0.6961946622370321 [Epoch 71][Batch 99], Speed: 162.437 samples/sec, CrossEntropy=2.481, SmoothL1=1.223 [Epoch 71][Batch 199], Speed: 118.052 samples/sec, CrossEntropy=2.481, SmoothL1=1.198 [Epoch 71][Batch 299], Speed: 138.948 samples/sec, CrossEntropy=2.483, SmoothL1=1.199 [Epoch 71][Batch 399], Speed: 28.400 samples/sec, CrossEntropy=2.480, SmoothL1=1.204 [Epoch 71][Batch 499], Speed: 303.512 samples/sec, CrossEntropy=2.475, SmoothL1=1.209 [Epoch 71] Training cost: 250.325, CrossEntropy=2.474, SmoothL1=1.211 [Epoch 71] Validation: aeroplane=0.7003044342625797 bicycle=0.7848541494001158 bird=0.6776280989307132 boat=0.5741428949245557 bottle=0.4497430218632151 bus=0.7786767019127393 car=0.8238047869381373 cat=0.833490370092698 chair=0.4911153936394112 cow=0.7208579152147874 diningtable=0.6544428201218094 dog=0.7862038487868915 horse=0.794725662710478 motorbike=0.7707347888539875 person=0.7563072085191882 pottedplant=0.3533900162628748 sheep=0.7407871318137772 sofa=0.7044520152841558 train=0.7991053920871087 tvmonitor=0.713246750185833 mAP=0.6954006700902529 [Epoch 72][Batch 99], Speed: 153.982 samples/sec, CrossEntropy=2.479, SmoothL1=1.205 [Epoch 72][Batch 199], Speed: 280.741 samples/sec, CrossEntropy=2.459, SmoothL1=1.209 [Epoch 72][Batch 299], Speed: 38.233 samples/sec, CrossEntropy=2.466, SmoothL1=1.215 [Epoch 72][Batch 399], Speed: 40.420 samples/sec, CrossEntropy=2.471, SmoothL1=1.217 [Epoch 72][Batch 499], Speed: 33.409 samples/sec, CrossEntropy=2.469, SmoothL1=1.217 [Epoch 72] Training cost: 251.828, CrossEntropy=2.471, SmoothL1=1.218 [Epoch 72] Validation: aeroplane=0.7397563701416722 bicycle=0.7836368764432415 bird=0.6982175763242195 boat=0.5683850580121856 bottle=0.42818094500369586 bus=0.7971250652014211 car=0.8279033750561492 cat=0.836813371058243 chair=0.4947649868467755 cow=0.6905103220747385 diningtable=0.6787025504652164 dog=0.7947188993272223 horse=0.7895394871757567 motorbike=0.7705186088358603 person=0.7432384775277378 pottedplant=0.393342871834966 sheep=0.6975331634722959 sofa=0.7228920998268278 train=0.7948821645551831 tvmonitor=0.6939296922704086 mAP=0.6972295980726908 [Epoch 73][Batch 99], Speed: 81.916 samples/sec, CrossEntropy=2.426, SmoothL1=1.206 [Epoch 73][Batch 199], Speed: 120.589 samples/sec, CrossEntropy=2.457, SmoothL1=1.223 [Epoch 73][Batch 299], Speed: 72.687 samples/sec, CrossEntropy=2.468, SmoothL1=1.221 [Epoch 73][Batch 399], Speed: 228.697 samples/sec, CrossEntropy=2.469, SmoothL1=1.217 [Epoch 73][Batch 499], Speed: 316.777 samples/sec, CrossEntropy=2.469, SmoothL1=1.213 [Epoch 73] Training cost: 249.387, CrossEntropy=2.469, SmoothL1=1.213 [Epoch 73] Validation: aeroplane=0.7350245156561364 bicycle=0.7667048532449839 bird=0.671520081630539 boat=0.5615741973139934 bottle=0.4352302165841149 bus=0.7728343456999907 car=0.8217158991066096 cat=0.8176713332025728 chair=0.5036913647323417 cow=0.6835933215867006 diningtable=0.6694819995350468 dog=0.7961663142537354 horse=0.7992325660825182 motorbike=0.7617598125198327 person=0.7452370626838575 pottedplant=0.40380268904165206 sheep=0.7043290850470777 sofa=0.7264553153247753 train=0.7848633033366814 tvmonitor=0.6883292464626627 mAP=0.6924608761522912 [Epoch 74][Batch 99], Speed: 43.656 samples/sec, CrossEntropy=2.442, SmoothL1=1.194 [Epoch 74][Batch 199], Speed: 233.174 samples/sec, CrossEntropy=2.461, SmoothL1=1.191 [Epoch 74][Batch 299], Speed: 31.551 samples/sec, CrossEntropy=2.469, SmoothL1=1.205 [Epoch 74][Batch 399], Speed: 25.983 samples/sec, CrossEntropy=2.464, SmoothL1=1.212 [Epoch 74][Batch 499], Speed: 302.971 samples/sec, CrossEntropy=2.467, SmoothL1=1.210 [Epoch 74] Training cost: 250.261, CrossEntropy=2.465, SmoothL1=1.209 [Epoch 74] Validation: aeroplane=0.7181730518246773 bicycle=0.7721247078862408 bird=0.6931624649108311 boat=0.569475392763033 bottle=0.47150751445277644 bus=0.7918192574935509 car=0.8184930189905542 cat=0.8223484472551771 chair=0.5024401963580505 cow=0.7513762543136586 diningtable=0.6838742576044002 dog=0.79828384068044 horse=0.8071487996408679 motorbike=0.7838640992962621 person=0.7536441544061536 pottedplant=0.38854655055502063 sheep=0.7147631395772555 sofa=0.7129139875039783 train=0.7841271564018463 tvmonitor=0.7003094399559716 mAP=0.7019197865935373 [Epoch 75][Batch 99], Speed: 188.768 samples/sec, CrossEntropy=2.423, SmoothL1=1.181 [Epoch 75][Batch 199], Speed: 112.087 samples/sec, CrossEntropy=2.435, SmoothL1=1.176 [Epoch 75][Batch 299], Speed: 188.155 samples/sec, CrossEntropy=2.437, SmoothL1=1.192 [Epoch 75][Batch 399], Speed: 294.067 samples/sec, CrossEntropy=2.443, SmoothL1=1.197 [Epoch 75][Batch 499], Speed: 30.030 samples/sec, CrossEntropy=2.446, SmoothL1=1.200 [Epoch 75] Training cost: 251.223, CrossEntropy=2.448, SmoothL1=1.201 [Epoch 75] Validation: aeroplane=0.6791589395583226 bicycle=0.7724397838711253 bird=0.6812980889441121 boat=0.5545110686141483 bottle=0.46333742500829406 bus=0.765314385564082 car=0.8230171903894291 cat=0.8219438515395444 chair=0.49732292767817493 cow=0.7095156333054882 diningtable=0.6807754295041231 dog=0.7820105660331312 horse=0.7876479218420003 motorbike=0.7605014475893013 person=0.7581410393612812 pottedplant=0.3725245760453606 sheep=0.740649917568504 sofa=0.7166648757443137 train=0.7762572182342588 tvmonitor=0.6972326589937687 mAP=0.6920132472694382 [Epoch 76][Batch 99], Speed: 103.149 samples/sec, CrossEntropy=2.413, SmoothL1=1.209 [Epoch 76][Batch 199], Speed: 56.209 samples/sec, CrossEntropy=2.435, SmoothL1=1.193 [Epoch 76][Batch 299], Speed: 30.833 samples/sec, CrossEntropy=2.448, SmoothL1=1.198 [Epoch 76][Batch 399], Speed: 41.621 samples/sec, CrossEntropy=2.451, SmoothL1=1.198 [Epoch 76][Batch 499], Speed: 295.805 samples/sec, CrossEntropy=2.453, SmoothL1=1.196 [Epoch 76] Training cost: 246.705, CrossEntropy=2.452, SmoothL1=1.194 [Epoch 76] Validation: aeroplane=0.7235931708767951 bicycle=0.8051245438374269 bird=0.6859553239836467 boat=0.564682137208679 bottle=0.46467166640292434 bus=0.7746121291031268 car=0.8284581116089662 cat=0.8266563190555297 chair=0.5297922480114707 cow=0.7342777911273685 diningtable=0.6804785106245573 dog=0.8034449163953868 horse=0.8054803940051816 motorbike=0.7956319595955994 person=0.7543952742526218 pottedplant=0.39986433823436507 sheep=0.7255611109255761 sofa=0.7398494756644515 train=0.7739572899389535 tvmonitor=0.69919491466445 mAP=0.7057840812758538 [Epoch 77][Batch 99], Speed: 60.376 samples/sec, CrossEntropy=2.457, SmoothL1=1.231 [Epoch 77][Batch 199], Speed: 80.573 samples/sec, CrossEntropy=2.443, SmoothL1=1.202 [Epoch 77][Batch 299], Speed: 306.710 samples/sec, CrossEntropy=2.437, SmoothL1=1.214 [Epoch 77][Batch 399], Speed: 135.714 samples/sec, CrossEntropy=2.440, SmoothL1=1.201 [Epoch 77][Batch 499], Speed: 230.471 samples/sec, CrossEntropy=2.439, SmoothL1=1.196 [Epoch 77] Training cost: 247.519, CrossEntropy=2.440, SmoothL1=1.196 [Epoch 77] Validation: aeroplane=0.7566936511568029 bicycle=0.7967855773590158 bird=0.6897961678488913 boat=0.5713262897847591 bottle=0.4422244706032658 bus=0.7844682637583373 car=0.832076604357279 cat=0.8118806217906822 chair=0.48828019260524014 cow=0.731480879930062 diningtable=0.6944049761389102 dog=0.7930362545625539 horse=0.8065549117507747 motorbike=0.7748074071237522 person=0.7544983980342103 pottedplant=0.3925242367825222 sheep=0.7081276216958643 sofa=0.7009380184602292 train=0.7919243758076272 tvmonitor=0.693889354997962 mAP=0.7007859137274369 [Epoch 78][Batch 99], Speed: 63.085 samples/sec, CrossEntropy=2.414, SmoothL1=1.179 [Epoch 78][Batch 199], Speed: 72.386 samples/sec, CrossEntropy=2.424, SmoothL1=1.175 [Epoch 78][Batch 299], Speed: 315.316 samples/sec, CrossEntropy=2.433, SmoothL1=1.171 [Epoch 78][Batch 399], Speed: 170.564 samples/sec, CrossEntropy=2.441, SmoothL1=1.190 [Epoch 78][Batch 499], Speed: 63.395 samples/sec, CrossEntropy=2.449, SmoothL1=1.191 [Epoch 78] Training cost: 247.427, CrossEntropy=2.449, SmoothL1=1.192 [Epoch 78] Validation: aeroplane=0.7654546703472542 bicycle=0.8009424462388247 bird=0.6813495718320488 boat=0.5603114130798528 bottle=0.43060033961955857 bus=0.7695757099243737 car=0.8308893350347422 cat=0.8284635107552547 chair=0.5003109493802369 cow=0.7104082430580582 diningtable=0.6833129964478635 dog=0.7943670351542589 horse=0.8054932136345303 motorbike=0.7781231538929689 person=0.7485200993510561 pottedplant=0.40795594360200144 sheep=0.7246839799246527 sofa=0.7221865959659917 train=0.768793937798488 tvmonitor=0.7023254202097351 mAP=0.7007034282625876 [Epoch 79][Batch 99], Speed: 265.660 samples/sec, CrossEntropy=2.403, SmoothL1=1.202 [Epoch 79][Batch 199], Speed: 21.828 samples/sec, CrossEntropy=2.423, SmoothL1=1.191 [Epoch 79][Batch 299], Speed: 36.571 samples/sec, CrossEntropy=2.424, SmoothL1=1.196 [Epoch 79][Batch 399], Speed: 89.118 samples/sec, CrossEntropy=2.425, SmoothL1=1.192 [Epoch 79][Batch 499], Speed: 33.947 samples/sec, CrossEntropy=2.433, SmoothL1=1.190 [Epoch 79] Training cost: 249.644, CrossEntropy=2.433, SmoothL1=1.189 [Epoch 79] Validation: aeroplane=0.7265811816559473 bicycle=0.8125592038324038 bird=0.6875248875706929 boat=0.5674570021216383 bottle=0.47652511253773255 bus=0.7669873368541512 car=0.8376435837879329 cat=0.8275782081448778 chair=0.49505779792027105 cow=0.7237397083094802 diningtable=0.6792416040365903 dog=0.789121395161761 horse=0.7964540766536314 motorbike=0.7981356455956308 person=0.7531702836041216 pottedplant=0.37857650731432874 sheep=0.7103614409096901 sofa=0.7188597603784563 train=0.7845844935729347 tvmonitor=0.7046736779572265 mAP=0.7017416453959748 [Epoch 80][Batch 99], Speed: 311.503 samples/sec, CrossEntropy=2.442, SmoothL1=1.211 [Epoch 80][Batch 199], Speed: 308.691 samples/sec, CrossEntropy=2.451, SmoothL1=1.199 [Epoch 80][Batch 299], Speed: 111.462 samples/sec, CrossEntropy=2.447, SmoothL1=1.199 [Epoch 80][Batch 399], Speed: 305.076 samples/sec, CrossEntropy=2.439, SmoothL1=1.190 [Epoch 80][Batch 499], Speed: 119.337 samples/sec, CrossEntropy=2.437, SmoothL1=1.190 [Epoch 80] Training cost: 250.988, CrossEntropy=2.439, SmoothL1=1.190 [Epoch 80] Validation: aeroplane=0.7005390647291415 bicycle=0.7994661479441091 bird=0.6917631185795671 boat=0.5734628834627837 bottle=0.4346026685842593 bus=0.7801215689235638 car=0.8281519514385778 cat=0.8274750012661877 chair=0.49643735152660856 cow=0.7429403151787026 diningtable=0.6748744099060534 dog=0.7723321646613402 horse=0.8047151936496635 motorbike=0.7916039249690172 person=0.7488843525069562 pottedplant=0.4136020115498556 sheep=0.6832091651094201 sofa=0.7107173155803649 train=0.7869540205712378 tvmonitor=0.7018306753137903 mAP=0.6981841652725599 [Epoch 81][Batch 99], Speed: 47.634 samples/sec, CrossEntropy=2.455, SmoothL1=1.184 [Epoch 81][Batch 199], Speed: 81.218 samples/sec, CrossEntropy=2.453, SmoothL1=1.193 [Epoch 81][Batch 299], Speed: 37.365 samples/sec, CrossEntropy=2.446, SmoothL1=1.187 [Epoch 81][Batch 399], Speed: 303.926 samples/sec, CrossEntropy=2.446, SmoothL1=1.191 [Epoch 81][Batch 499], Speed: 113.983 samples/sec, CrossEntropy=2.444, SmoothL1=1.194 [Epoch 81] Training cost: 247.881, CrossEntropy=2.442, SmoothL1=1.194 [Epoch 81] Validation: aeroplane=0.7418112066926846 bicycle=0.8071397621718589 bird=0.6960676134361659 boat=0.6006784890126052 bottle=0.41950436154352755 bus=0.7871551760880048 car=0.828851927794053 cat=0.8312568503649993 chair=0.5246511764492889 cow=0.7121127941934023 diningtable=0.6675457566869945 dog=0.7996196578101972 horse=0.7936488175442165 motorbike=0.7930526174333983 person=0.756336799487274 pottedplant=0.4138628668759713 sheep=0.695422026247443 sofa=0.7406029140408231 train=0.7876943466953684 tvmonitor=0.7106470032771626 mAP=0.7053831081922719 [Epoch 82][Batch 99], Speed: 39.075 samples/sec, CrossEntropy=2.448, SmoothL1=1.204 [Epoch 82][Batch 199], Speed: 36.232 samples/sec, CrossEntropy=2.433, SmoothL1=1.189 [Epoch 82][Batch 299], Speed: 66.504 samples/sec, CrossEntropy=2.429, SmoothL1=1.194 [Epoch 82][Batch 399], Speed: 212.825 samples/sec, CrossEntropy=2.425, SmoothL1=1.189 [Epoch 82][Batch 499], Speed: 298.077 samples/sec, CrossEntropy=2.423, SmoothL1=1.192 [Epoch 82] Training cost: 249.475, CrossEntropy=2.421, SmoothL1=1.188 [Epoch 82] Validation: aeroplane=0.7506037040005495 bicycle=0.7809892407325337 bird=0.6778999551309935 boat=0.5900588454087832 bottle=0.4674450828573146 bus=0.7886721468750209 car=0.8308497774510603 cat=0.8316532001101289 chair=0.5081389110298823 cow=0.7323319330926752 diningtable=0.6784378928527636 dog=0.8052645296512185 horse=0.7977605388845298 motorbike=0.7803751099844941 person=0.7490153188949003 pottedplant=0.4047717320681829 sheep=0.7103840286301772 sofa=0.7285833762140765 train=0.8029963224650541 tvmonitor=0.6917708903818761 mAP=0.7054001268358108 [Epoch 83][Batch 99], Speed: 75.436 samples/sec, CrossEntropy=2.421, SmoothL1=1.190 [Epoch 83][Batch 199], Speed: 76.236 samples/sec, CrossEntropy=2.420, SmoothL1=1.200 [Epoch 83][Batch 299], Speed: 49.838 samples/sec, CrossEntropy=2.419, SmoothL1=1.191 [Epoch 83][Batch 399], Speed: 40.732 samples/sec, CrossEntropy=2.419, SmoothL1=1.189 [Epoch 83][Batch 499], Speed: 312.197 samples/sec, CrossEntropy=2.412, SmoothL1=1.182 [Epoch 83] Training cost: 253.775, CrossEntropy=2.412, SmoothL1=1.180 [Epoch 83] Validation: aeroplane=0.7333181108188382 bicycle=0.7789365640707643 bird=0.6972767178495143 boat=0.5683205796699862 bottle=0.4565405008174816 bus=0.7834270060765817 car=0.8285493704744137 cat=0.8244220581694036 chair=0.5050300718167069 cow=0.7143926824274393 diningtable=0.6704236313962908 dog=0.7938756618411008 horse=0.8033952015909417 motorbike=0.7940056204988813 person=0.7477240782704233 pottedplant=0.37946888663107287 sheep=0.7218467951541403 sofa=0.7489680664321434 train=0.8044084990568566 tvmonitor=0.7093343876658939 mAP=0.7031832245364438 [Epoch 84][Batch 99], Speed: 313.555 samples/sec, CrossEntropy=2.427, SmoothL1=1.173 [Epoch 84][Batch 199], Speed: 28.377 samples/sec, CrossEntropy=2.422, SmoothL1=1.179 [Epoch 84][Batch 299], Speed: 121.366 samples/sec, CrossEntropy=2.416, SmoothL1=1.184 [Epoch 84][Batch 399], Speed: 38.136 samples/sec, CrossEntropy=2.409, SmoothL1=1.177 [Epoch 84][Batch 499], Speed: 20.533 samples/sec, CrossEntropy=2.414, SmoothL1=1.179 [Epoch 84] Training cost: 253.052, CrossEntropy=2.416, SmoothL1=1.179 [Epoch 84] Validation: aeroplane=0.7208131310494393 bicycle=0.8050587494789982 bird=0.6987511352659775 boat=0.5765506477440847 bottle=0.4522809158979665 bus=0.7789365960572185 car=0.8257924067947752 cat=0.8272524184345338 chair=0.5076332464388683 cow=0.6999577432870262 diningtable=0.6471294766446544 dog=0.8010479844514915 horse=0.8020955971722332 motorbike=0.8041112297496052 person=0.7573589674528745 pottedplant=0.41054497264517237 sheep=0.6862979538663637 sofa=0.7221876320781335 train=0.7855891988465755 tvmonitor=0.7122201688143571 mAP=0.7010805086085174 [Epoch 85][Batch 99], Speed: 46.805 samples/sec, CrossEntropy=2.396, SmoothL1=1.183 [Epoch 85][Batch 199], Speed: 50.375 samples/sec, CrossEntropy=2.398, SmoothL1=1.178 [Epoch 85][Batch 299], Speed: 177.940 samples/sec, CrossEntropy=2.398, SmoothL1=1.182 [Epoch 85][Batch 399], Speed: 39.330 samples/sec, CrossEntropy=2.402, SmoothL1=1.182 [Epoch 85][Batch 499], Speed: 121.465 samples/sec, CrossEntropy=2.403, SmoothL1=1.186 [Epoch 85] Training cost: 248.736, CrossEntropy=2.404, SmoothL1=1.187 [Epoch 85] Validation: aeroplane=0.7536638630016161 bicycle=0.8111709970616856 bird=0.6912946990453619 boat=0.6160127381508 bottle=0.43015365320086096 bus=0.7891108992207362 car=0.8259032880027999 cat=0.8336981152382291 chair=0.526768615807653 cow=0.7201597845788766 diningtable=0.6760527697398846 dog=0.7930226965361771 horse=0.7944849024791787 motorbike=0.808701845520586 person=0.7593358345759753 pottedplant=0.38047572590560763 sheep=0.7096765911679426 sofa=0.7348609869880269 train=0.7882681600690679 tvmonitor=0.7020360872282064 mAP=0.7072426126759636 [Epoch 86][Batch 99], Speed: 29.638 samples/sec, CrossEntropy=2.423, SmoothL1=1.183 [Epoch 86][Batch 199], Speed: 310.278 samples/sec, CrossEntropy=2.411, SmoothL1=1.165 [Epoch 86][Batch 299], Speed: 71.187 samples/sec, CrossEntropy=2.415, SmoothL1=1.178 [Epoch 86][Batch 399], Speed: 29.178 samples/sec, CrossEntropy=2.417, SmoothL1=1.185 [Epoch 86][Batch 499], Speed: 41.057 samples/sec, CrossEntropy=2.416, SmoothL1=1.185 [Epoch 86] Training cost: 251.997, CrossEntropy=2.419, SmoothL1=1.186 [Epoch 86] Validation: aeroplane=0.7303734640612172 bicycle=0.8044670378310066 bird=0.6698369913945852 boat=0.5986698927239623 bottle=0.47785970108548115 bus=0.7691969426287902 car=0.8292933880117392 cat=0.8236187271580206 chair=0.49310219717134396 cow=0.7255321005932098 diningtable=0.6866345025120545 dog=0.8081212914463165 horse=0.8017989153218733 motorbike=0.7867723607292922 person=0.7488932874080635 pottedplant=0.4136661140540487 sheep=0.7370507025470945 sofa=0.7054790514112551 train=0.7744116368959925 tvmonitor=0.7021315750738029 mAP=0.7043454940029574 [Epoch 87][Batch 99], Speed: 176.643 samples/sec, CrossEntropy=2.358, SmoothL1=1.139 [Epoch 87][Batch 199], Speed: 60.438 samples/sec, CrossEntropy=2.368, SmoothL1=1.144 [Epoch 87][Batch 299], Speed: 41.558 samples/sec, CrossEntropy=2.375, SmoothL1=1.160 [Epoch 87][Batch 399], Speed: 27.188 samples/sec, CrossEntropy=2.389, SmoothL1=1.169 [Epoch 87][Batch 499], Speed: 28.234 samples/sec, CrossEntropy=2.392, SmoothL1=1.169 [Epoch 87] Training cost: 251.052, CrossEntropy=2.394, SmoothL1=1.171 [Epoch 87] Validation: aeroplane=0.7366986830230612 bicycle=0.811927002194543 bird=0.7077300299373422 boat=0.6186067557024316 bottle=0.4795877990223872 bus=0.7787983773589378 car=0.8316571963929256 cat=0.8387269253091273 chair=0.5075260045553152 cow=0.7285053176901705 diningtable=0.6848753217900332 dog=0.813044842895185 horse=0.8192283075995466 motorbike=0.787555275850421 person=0.756365253504598 pottedplant=0.40708840155078574 sheep=0.7105258742575699 sofa=0.7402976064428388 train=0.7891582364844024 tvmonitor=0.6944361051962473 mAP=0.7121169658378934 [Epoch 88][Batch 99], Speed: 32.554 samples/sec, CrossEntropy=2.391, SmoothL1=1.179 [Epoch 88][Batch 199], Speed: 66.188 samples/sec, CrossEntropy=2.393, SmoothL1=1.171 [Epoch 88][Batch 299], Speed: 314.363 samples/sec, CrossEntropy=2.384, SmoothL1=1.170 [Epoch 88][Batch 399], Speed: 23.108 samples/sec, CrossEntropy=2.393, SmoothL1=1.169 [Epoch 88][Batch 499], Speed: 300.189 samples/sec, CrossEntropy=2.400, SmoothL1=1.173 [Epoch 88] Training cost: 245.616, CrossEntropy=2.400, SmoothL1=1.172 [Epoch 88] Validation: aeroplane=0.7137153450992831 bicycle=0.7990788223731715 bird=0.6837167342684028 boat=0.5621728730998234 bottle=0.48089593063054764 bus=0.8007144668571171 car=0.8231308330751083 cat=0.8152702547259347 chair=0.5237544262465101 cow=0.7059492482927302 diningtable=0.6856342822058492 dog=0.7704516343541457 horse=0.8024939673387251 motorbike=0.7973973085938819 person=0.7519955795711215 pottedplant=0.4028930015101386 sheep=0.6748929453164075 sofa=0.7560135834579733 train=0.8022436096352062 tvmonitor=0.6947061309974845 mAP=0.7023560488824783 [Epoch 89][Batch 99], Speed: 306.449 samples/sec, CrossEntropy=2.355, SmoothL1=1.151 [Epoch 89][Batch 199], Speed: 212.727 samples/sec, CrossEntropy=2.391, SmoothL1=1.173 [Epoch 89][Batch 299], Speed: 76.856 samples/sec, CrossEntropy=2.392, SmoothL1=1.166 [Epoch 89][Batch 399], Speed: 307.084 samples/sec, CrossEntropy=2.389, SmoothL1=1.162 [Epoch 89][Batch 499], Speed: 221.271 samples/sec, CrossEntropy=2.396, SmoothL1=1.169 [Epoch 89] Training cost: 253.496, CrossEntropy=2.394, SmoothL1=1.167 [Epoch 89] Validation: aeroplane=0.727862373517497 bicycle=0.8036310111297733 bird=0.6649175279422892 boat=0.6063527235250492 bottle=0.5058192257113776 bus=0.7783545552829619 car=0.8252755141185304 cat=0.8141513783362404 chair=0.5000684063612609 cow=0.7357722166649515 diningtable=0.6766325287747248 dog=0.7919549881034617 horse=0.8063240040947941 motorbike=0.7774214228735961 person=0.7558848156133464 pottedplant=0.41935986686880744 sheep=0.7366212488044673 sofa=0.7379871180612783 train=0.802265520756709 tvmonitor=0.6908304021572347 mAP=0.7078743424349175 [Epoch 90][Batch 99], Speed: 276.929 samples/sec, CrossEntropy=2.359, SmoothL1=1.148 [Epoch 90][Batch 199], Speed: 309.804 samples/sec, CrossEntropy=2.381, SmoothL1=1.173 [Epoch 90][Batch 299], Speed: 301.837 samples/sec, CrossEntropy=2.386, SmoothL1=1.160 [Epoch 90][Batch 399], Speed: 120.423 samples/sec, CrossEntropy=2.385, SmoothL1=1.159 [Epoch 90][Batch 499], Speed: 27.391 samples/sec, CrossEntropy=2.396, SmoothL1=1.169 [Epoch 90] Training cost: 249.899, CrossEntropy=2.395, SmoothL1=1.168 [Epoch 90] Validation: aeroplane=0.7420597125889175 bicycle=0.7930896751516556 bird=0.6914652427654611 boat=0.6121660169163503 bottle=0.4712532188733411 bus=0.7815157480858304 car=0.8263716571094131 cat=0.8335902905024584 chair=0.5081016506476344 cow=0.7451219072182327 diningtable=0.7096702824061816 dog=0.8099384475793754 horse=0.8172604582694737 motorbike=0.7807208391140154 person=0.7567395923308349 pottedplant=0.41621057675187934 sheep=0.704281585148354 sofa=0.7400526116602261 train=0.8077146963164874 tvmonitor=0.7067595023462845 mAP=0.7127041855891205 [Epoch 91][Batch 99], Speed: 262.812 samples/sec, CrossEntropy=2.378, SmoothL1=1.156 [Epoch 91][Batch 199], Speed: 306.862 samples/sec, CrossEntropy=2.370, SmoothL1=1.152 [Epoch 91][Batch 299], Speed: 43.079 samples/sec, CrossEntropy=2.379, SmoothL1=1.163 [Epoch 91][Batch 399], Speed: 27.475 samples/sec, CrossEntropy=2.381, SmoothL1=1.162 [Epoch 91][Batch 499], Speed: 40.779 samples/sec, CrossEntropy=2.388, SmoothL1=1.165 [Epoch 91] Training cost: 252.933, CrossEntropy=2.389, SmoothL1=1.167 [Epoch 91] Validation: aeroplane=0.7338018552920748 bicycle=0.7980402226326191 bird=0.7038248851126647 boat=0.6026422063416863 bottle=0.4608261395551695 bus=0.796523834873524 car=0.8292456230456892 cat=0.8387184500158165 chair=0.5085444102492609 cow=0.7560476756263571 diningtable=0.6741004498191443 dog=0.7897237339162803 horse=0.8120358784107669 motorbike=0.8005467224673495 person=0.7493787988453834 pottedplant=0.41926146455414093 sheep=0.7255019234591725 sofa=0.7146985572109876 train=0.8086857676526917 tvmonitor=0.7096966864100116 mAP=0.7115922642745394 [Epoch 92][Batch 99], Speed: 51.197 samples/sec, CrossEntropy=2.391, SmoothL1=1.157 [Epoch 92][Batch 199], Speed: 62.814 samples/sec, CrossEntropy=2.367, SmoothL1=1.155 [Epoch 92][Batch 299], Speed: 289.916 samples/sec, CrossEntropy=2.371, SmoothL1=1.161 [Epoch 92][Batch 399], Speed: 239.078 samples/sec, CrossEntropy=2.375, SmoothL1=1.162 [Epoch 92][Batch 499], Speed: 147.661 samples/sec, CrossEntropy=2.380, SmoothL1=1.171 [Epoch 92] Training cost: 249.728, CrossEntropy=2.382, SmoothL1=1.171 [Epoch 92] Validation: aeroplane=0.7714035210694429 bicycle=0.8002520260185259 bird=0.7076095440954827 boat=0.5620500013985122 bottle=0.44702330327230644 bus=0.7872648880319718 car=0.8243783776836594 cat=0.8432207644299057 chair=0.5336959351920617 cow=0.7365188924603652 diningtable=0.6882693486687708 dog=0.807818147139994 horse=0.8166836183150765 motorbike=0.7965174020623551 person=0.7559923028742939 pottedplant=0.39592283764609565 sheep=0.7285313516420382 sofa=0.7623892030300868 train=0.7901636750441281 tvmonitor=0.712424415026759 mAP=0.7134064777550917 [Epoch 93][Batch 99], Speed: 72.806 samples/sec, CrossEntropy=2.364, SmoothL1=1.157 [Epoch 93][Batch 199], Speed: 135.202 samples/sec, CrossEntropy=2.359, SmoothL1=1.165 [Epoch 93][Batch 299], Speed: 61.537 samples/sec, CrossEntropy=2.358, SmoothL1=1.160 [Epoch 93][Batch 399], Speed: 86.698 samples/sec, CrossEntropy=2.356, SmoothL1=1.155 [Epoch 93][Batch 499], Speed: 291.556 samples/sec, CrossEntropy=2.366, SmoothL1=1.156 [Epoch 93] Training cost: 247.439, CrossEntropy=2.366, SmoothL1=1.158 [Epoch 93] Validation: aeroplane=0.7226075685598722 bicycle=0.7987158933028812 bird=0.6890015725997634 boat=0.5948238131604452 bottle=0.4642354134765413 bus=0.787801447699504 car=0.8349061013959826 cat=0.8321012267098441 chair=0.5317995007617892 cow=0.7468820739100858 diningtable=0.6800489649823953 dog=0.7911344621183566 horse=0.8040194032846311 motorbike=0.7980794487158797 person=0.7631294574733046 pottedplant=0.41965752087906893 sheep=0.732612982395983 sofa=0.7542992924582942 train=0.7922071365814488 tvmonitor=0.7045398880515281 mAP=0.7121301584258799 [Epoch 94][Batch 99], Speed: 141.592 samples/sec, CrossEntropy=2.365, SmoothL1=1.159 [Epoch 94][Batch 199], Speed: 143.078 samples/sec, CrossEntropy=2.362, SmoothL1=1.160 [Epoch 94][Batch 299], Speed: 270.088 samples/sec, CrossEntropy=2.374, SmoothL1=1.168 [Epoch 94][Batch 399], Speed: 57.123 samples/sec, CrossEntropy=2.375, SmoothL1=1.172 [Epoch 94][Batch 499], Speed: 310.481 samples/sec, CrossEntropy=2.378, SmoothL1=1.168 [Epoch 94] Training cost: 251.850, CrossEntropy=2.375, SmoothL1=1.166 [Epoch 94] Validation: aeroplane=0.7286017149847646 bicycle=0.8207116577859351 bird=0.7017182615437759 boat=0.6142169227917728 bottle=0.4676820979116201 bus=0.7919364780832419 car=0.8350360436830077 cat=0.83155421761508 chair=0.5336629054376494 cow=0.7338279428568807 diningtable=0.6697937453449514 dog=0.7842466701187142 horse=0.8017755542208383 motorbike=0.774799929975014 person=0.7555332246922815 pottedplant=0.401655908648252 sheep=0.7271763099492419 sofa=0.737770230984929 train=0.8072901678623998 tvmonitor=0.7114636616933532 mAP=0.711522682309185 [Epoch 95][Batch 99], Speed: 127.588 samples/sec, CrossEntropy=2.361, SmoothL1=1.166 [Epoch 95][Batch 199], Speed: 44.364 samples/sec, CrossEntropy=2.378, SmoothL1=1.175 [Epoch 95][Batch 299], Speed: 24.375 samples/sec, CrossEntropy=2.385, SmoothL1=1.172 [Epoch 95][Batch 399], Speed: 106.572 samples/sec, CrossEntropy=2.378, SmoothL1=1.166 [Epoch 95][Batch 499], Speed: 312.665 samples/sec, CrossEntropy=2.383, SmoothL1=1.172 [Epoch 95] Training cost: 249.965, CrossEntropy=2.381, SmoothL1=1.172 [Epoch 95] Validation: aeroplane=0.7454304627516098 bicycle=0.7912915767373769 bird=0.7051982829077807 boat=0.5997680708223792 bottle=0.4171443275883904 bus=0.7986981881396261 car=0.8302460487702681 cat=0.8374160575783067 chair=0.5340820651279713 cow=0.7699133623538685 diningtable=0.6940229490290831 dog=0.7973733176890071 horse=0.8036989798587484 motorbike=0.7986866810429566 person=0.7537764700191745 pottedplant=0.385184415011753 sheep=0.7359173937463531 sofa=0.7495984645182506 train=0.8091153877451042 tvmonitor=0.7106805317973367 mAP=0.7133621516617673 [Epoch 96][Batch 99], Speed: 36.113 samples/sec, CrossEntropy=2.357, SmoothL1=1.150 [Epoch 96][Batch 199], Speed: 318.027 samples/sec, CrossEntropy=2.363, SmoothL1=1.164 [Epoch 96][Batch 299], Speed: 156.495 samples/sec, CrossEntropy=2.355, SmoothL1=1.159 [Epoch 96][Batch 399], Speed: 148.864 samples/sec, CrossEntropy=2.361, SmoothL1=1.160 [Epoch 96][Batch 499], Speed: 62.513 samples/sec, CrossEntropy=2.365, SmoothL1=1.160 [Epoch 96] Training cost: 249.680, CrossEntropy=2.363, SmoothL1=1.160 [Epoch 96] Validation: aeroplane=0.711659511191767 bicycle=0.7982416364349019 bird=0.6895507775655086 boat=0.6188452896708226 bottle=0.44045311593757275 bus=0.792784633796475 car=0.8264081675902645 cat=0.833163058803192 chair=0.5242358234687374 cow=0.7623620644647349 diningtable=0.6786084306355429 dog=0.7882783157794708 horse=0.8168864921699117 motorbike=0.7954781828323805 person=0.7598116487649366 pottedplant=0.4290696307049302 sheep=0.706284527252947 sofa=0.7204012097560247 train=0.8056347304860076 tvmonitor=0.6813429797178424 mAP=0.7089750113511986 [Epoch 97][Batch 99], Speed: 25.100 samples/sec, CrossEntropy=2.338, SmoothL1=1.147 [Epoch 97][Batch 199], Speed: 79.803 samples/sec, CrossEntropy=2.361, SmoothL1=1.156 [Epoch 97][Batch 299], Speed: 305.937 samples/sec, CrossEntropy=2.354, SmoothL1=1.151 [Epoch 97][Batch 399], Speed: 310.385 samples/sec, CrossEntropy=2.359, SmoothL1=1.144 [Epoch 97][Batch 499], Speed: 304.597 samples/sec, CrossEntropy=2.364, SmoothL1=1.149 [Epoch 97] Training cost: 248.890, CrossEntropy=2.363, SmoothL1=1.150 [Epoch 97] Validation: aeroplane=0.7680587317130105 bicycle=0.8103039494112121 bird=0.7108139430357575 boat=0.6155449428743613 bottle=0.4980243271495384 bus=0.790112480212513 car=0.8348003762210658 cat=0.8290737130813044 chair=0.5128901264260578 cow=0.7171507340110552 diningtable=0.6695625186363661 dog=0.8132320151239564 horse=0.8071287420116091 motorbike=0.8012494264387016 person=0.7576084624373237 pottedplant=0.4161034125869236 sheep=0.7381079220293223 sofa=0.7330870710251361 train=0.7939876484380421 tvmonitor=0.7046049851523741 mAP=0.7160722764007815 [Epoch 98][Batch 99], Speed: 307.427 samples/sec, CrossEntropy=2.388, SmoothL1=1.167 [Epoch 98][Batch 199], Speed: 310.021 samples/sec, CrossEntropy=2.368, SmoothL1=1.160 [Epoch 98][Batch 299], Speed: 57.091 samples/sec, CrossEntropy=2.366, SmoothL1=1.165 [Epoch 98][Batch 399], Speed: 44.974 samples/sec, CrossEntropy=2.363, SmoothL1=1.157 [Epoch 98][Batch 499], Speed: 72.557 samples/sec, CrossEntropy=2.364, SmoothL1=1.156 [Epoch 98] Training cost: 250.564, CrossEntropy=2.363, SmoothL1=1.154 [Epoch 98] Validation: aeroplane=0.7003075860993017 bicycle=0.8124523479123107 bird=0.6877295473745958 boat=0.6109072301800744 bottle=0.4617434146980142 bus=0.7685716317872744 car=0.8259830350289267 cat=0.8436045759982604 chair=0.5171440837188472 cow=0.7412066809087144 diningtable=0.6713020351792861 dog=0.8030021048404088 horse=0.808033886972436 motorbike=0.787419963408692 person=0.760424357378251 pottedplant=0.3971598249853689 sheep=0.7161877219302953 sofa=0.7129699538178417 train=0.8045894118280409 tvmonitor=0.6772127822403695 mAP=0.7053976088143654 [Epoch 99][Batch 99], Speed: 314.353 samples/sec, CrossEntropy=2.395, SmoothL1=1.162 [Epoch 99][Batch 199], Speed: 54.013 samples/sec, CrossEntropy=2.379, SmoothL1=1.155 [Epoch 99][Batch 299], Speed: 26.333 samples/sec, CrossEntropy=2.382, SmoothL1=1.159 [Epoch 99][Batch 399], Speed: 61.088 samples/sec, CrossEntropy=2.368, SmoothL1=1.158 [Epoch 99][Batch 499], Speed: 66.076 samples/sec, CrossEntropy=2.368, SmoothL1=1.156 [Epoch 99] Training cost: 252.823, CrossEntropy=2.366, SmoothL1=1.154 [Epoch 99] Validation: aeroplane=0.7206175853859176 bicycle=0.811152122273236 bird=0.7022555532628111 boat=0.6109122051437695 bottle=0.4958380892223831 bus=0.7929609974339212 car=0.8338843356989767 cat=0.8402237201873417 chair=0.5331526110219105 cow=0.7354258863279513 diningtable=0.6803914396271202 dog=0.8138158953537177 horse=0.8115827328052441 motorbike=0.796277172001115 person=0.7611085450200799 pottedplant=0.4205949421401846 sheep=0.7456525966468791 sofa=0.7491244398256627 train=0.7967447628798501 tvmonitor=0.7054001029627749 mAP=0.7178557867610423 [Epoch 100][Batch 99], Speed: 22.576 samples/sec, CrossEntropy=2.351, SmoothL1=1.149 [Epoch 100][Batch 199], Speed: 295.090 samples/sec, CrossEntropy=2.353, SmoothL1=1.147 [Epoch 100][Batch 299], Speed: 49.145 samples/sec, CrossEntropy=2.353, SmoothL1=1.158 [Epoch 100][Batch 399], Speed: 308.420 samples/sec, CrossEntropy=2.347, SmoothL1=1.145 [Epoch 100][Batch 499], Speed: 30.757 samples/sec, CrossEntropy=2.350, SmoothL1=1.155 [Epoch 100] Training cost: 251.273, CrossEntropy=2.352, SmoothL1=1.158 [Epoch 100] Validation: aeroplane=0.7168482900044205 bicycle=0.8206249846757849 bird=0.6573329863612873 boat=0.5997502572436643 bottle=0.4721594910810593 bus=0.7997462220469606 car=0.8279462522182021 cat=0.8288429331357611 chair=0.5149233867896724 cow=0.7414131346544449 diningtable=0.681858102306884 dog=0.7818131193150488 horse=0.7845081197723554 motorbike=0.7905524351945662 person=0.7578320949858376 pottedplant=0.4114629610701581 sheep=0.6993890555707377 sofa=0.7381497332026982 train=0.7890857213064796 tvmonitor=0.7073829702490907 mAP=0.7060811125592557 [Epoch 101][Batch 99], Speed: 114.650 samples/sec, CrossEntropy=2.351, SmoothL1=1.150 [Epoch 101][Batch 199], Speed: 288.465 samples/sec, CrossEntropy=2.353, SmoothL1=1.152 [Epoch 101][Batch 299], Speed: 125.765 samples/sec, CrossEntropy=2.348, SmoothL1=1.154 [Epoch 101][Batch 399], Speed: 313.323 samples/sec, CrossEntropy=2.345, SmoothL1=1.155 [Epoch 101][Batch 499], Speed: 213.586 samples/sec, CrossEntropy=2.346, SmoothL1=1.151 [Epoch 101] Training cost: 250.030, CrossEntropy=2.344, SmoothL1=1.149 [Epoch 101] Validation: aeroplane=0.7390841625080657 bicycle=0.8115407335525747 bird=0.7014523927275508 boat=0.6050360408516403 bottle=0.4854533733500711 bus=0.8175861850408115 car=0.8357851135585824 cat=0.8230466476814455 chair=0.5256683334454049 cow=0.7206433482746828 diningtable=0.7060500300993322 dog=0.7740239689420105 horse=0.7989772680154646 motorbike=0.7891313871444199 person=0.7574926413755353 pottedplant=0.41998215622700813 sheep=0.7015851926585747 sofa=0.739694934982058 train=0.7993814522849425 tvmonitor=0.6855765392043337 mAP=0.7118595950962254 [Epoch 102][Batch 99], Speed: 147.059 samples/sec, CrossEntropy=2.300, SmoothL1=1.136 [Epoch 102][Batch 199], Speed: 267.871 samples/sec, CrossEntropy=2.315, SmoothL1=1.145 [Epoch 102][Batch 299], Speed: 60.626 samples/sec, CrossEntropy=2.321, SmoothL1=1.144 [Epoch 102][Batch 399], Speed: 310.685 samples/sec, CrossEntropy=2.328, SmoothL1=1.148 [Epoch 102][Batch 499], Speed: 51.795 samples/sec, CrossEntropy=2.336, SmoothL1=1.148 [Epoch 102] Training cost: 248.062, CrossEntropy=2.335, SmoothL1=1.146 [Epoch 102] Validation: aeroplane=0.7439656098654074 bicycle=0.8129014823846562 bird=0.7195895610077825 boat=0.56599677643672 bottle=0.47604426610595657 bus=0.7972258225598646 car=0.823887442886514 cat=0.8164147144830064 chair=0.521961939006612 cow=0.7182020026134676 diningtable=0.7020171535194659 dog=0.78952615031905 horse=0.8037370121036983 motorbike=0.7834520514892058 person=0.7556531273248545 pottedplant=0.3876293942679539 sheep=0.7360364177423775 sofa=0.7298152398858168 train=0.7939497740935966 tvmonitor=0.6971561059590526 mAP=0.7087581022027529 [Epoch 103][Batch 99], Speed: 136.780 samples/sec, CrossEntropy=2.307, SmoothL1=1.120 [Epoch 103][Batch 199], Speed: 318.105 samples/sec, CrossEntropy=2.334, SmoothL1=1.123 [Epoch 103][Batch 299], Speed: 94.096 samples/sec, CrossEntropy=2.347, SmoothL1=1.137 [Epoch 103][Batch 399], Speed: 59.784 samples/sec, CrossEntropy=2.353, SmoothL1=1.146 [Epoch 103][Batch 499], Speed: 126.741 samples/sec, CrossEntropy=2.352, SmoothL1=1.144 [Epoch 103] Training cost: 251.092, CrossEntropy=2.351, SmoothL1=1.145 [Epoch 103] Validation: aeroplane=0.7155806221260401 bicycle=0.797950815213344 bird=0.7204410105900517 boat=0.6104963034589727 bottle=0.4789857776842748 bus=0.7890418849034643 car=0.8216441577632253 cat=0.8307790097099486 chair=0.5426675799234976 cow=0.7447233935974181 diningtable=0.6777443692997405 dog=0.7907879535946707 horse=0.7900084532934235 motorbike=0.8013977628285839 person=0.7555879370915395 pottedplant=0.43827695876463746 sheep=0.7409614290259957 sofa=0.7310739806470846 train=0.7932701858482023 tvmonitor=0.7179928788640646 mAP=0.714470623211409 [Epoch 104][Batch 99], Speed: 32.225 samples/sec, CrossEntropy=2.371, SmoothL1=1.166 [Epoch 104][Batch 199], Speed: 187.394 samples/sec, CrossEntropy=2.351, SmoothL1=1.156 [Epoch 104][Batch 299], Speed: 99.594 samples/sec, CrossEntropy=2.347, SmoothL1=1.141 [Epoch 104][Batch 399], Speed: 49.741 samples/sec, CrossEntropy=2.345, SmoothL1=1.145 [Epoch 104][Batch 499], Speed: 319.427 samples/sec, CrossEntropy=2.347, SmoothL1=1.150 [Epoch 104] Training cost: 249.534, CrossEntropy=2.346, SmoothL1=1.148 [Epoch 104] Validation: aeroplane=0.7622877656722147 bicycle=0.8034258362484196 bird=0.7032536630424959 boat=0.5988845815282471 bottle=0.48960560081561494 bus=0.7926576806713889 car=0.8343215825891556 cat=0.83894086970498 chair=0.5239416214455844 cow=0.7281769521471368 diningtable=0.6726464040085536 dog=0.7829730863393721 horse=0.7984696414988646 motorbike=0.7915520965617622 person=0.7587293374779531 pottedplant=0.4251081159977397 sheep=0.7522608482727031 sofa=0.7136450605656309 train=0.8020758611124428 tvmonitor=0.7170553392209219 mAP=0.7145005972460591 [Epoch 105][Batch 99], Speed: 45.167 samples/sec, CrossEntropy=2.322, SmoothL1=1.139 [Epoch 105][Batch 199], Speed: 30.624 samples/sec, CrossEntropy=2.330, SmoothL1=1.142 [Epoch 105][Batch 299], Speed: 68.746 samples/sec, CrossEntropy=2.339, SmoothL1=1.148 [Epoch 105][Batch 399], Speed: 319.496 samples/sec, CrossEntropy=2.342, SmoothL1=1.149 [Epoch 105][Batch 499], Speed: 73.264 samples/sec, CrossEntropy=2.339, SmoothL1=1.140 [Epoch 105] Training cost: 250.097, CrossEntropy=2.340, SmoothL1=1.140 [Epoch 105] Validation: aeroplane=0.7522586716077387 bicycle=0.8009215303872435 bird=0.7085115234995822 boat=0.643888146803562 bottle=0.4714404794447075 bus=0.7860833307428687 car=0.8333946716170972 cat=0.8367823990549567 chair=0.5324807133262279 cow=0.7332229279207491 diningtable=0.6888978293294885 dog=0.7950436353951286 horse=0.8185292218381425 motorbike=0.7915005129908408 person=0.752103324577407 pottedplant=0.42204245929711703 sheep=0.7231518885121897 sofa=0.7361941867611267 train=0.8078914896458618 tvmonitor=0.7105968237429748 mAP=0.7172467883247504 [Epoch 106][Batch 99], Speed: 183.996 samples/sec, CrossEntropy=2.333, SmoothL1=1.150 [Epoch 106][Batch 199], Speed: 301.295 samples/sec, CrossEntropy=2.325, SmoothL1=1.144 [Epoch 106][Batch 299], Speed: 304.525 samples/sec, CrossEntropy=2.323, SmoothL1=1.137 [Epoch 106][Batch 399], Speed: 31.755 samples/sec, CrossEntropy=2.331, SmoothL1=1.142 [Epoch 106][Batch 499], Speed: 40.390 samples/sec, CrossEntropy=2.329, SmoothL1=1.143 [Epoch 106] Training cost: 247.124, CrossEntropy=2.330, SmoothL1=1.144 [Epoch 106] Validation: aeroplane=0.7495416671664245 bicycle=0.8249046583720093 bird=0.7235210683370099 boat=0.6069873583531655 bottle=0.48227244326288965 bus=0.7980349737585416 car=0.8326693439995414 cat=0.8362431279673612 chair=0.5553701944760097 cow=0.7508358794892283 diningtable=0.6795761892398383 dog=0.7955736225928564 horse=0.8097018821408685 motorbike=0.7971901446372874 person=0.7556241405888672 pottedplant=0.4235770735936728 sheep=0.7380999631186235 sofa=0.71429828517706 train=0.8105263195921355 tvmonitor=0.7224936643706144 mAP=0.7203521000117001 [Epoch 107][Batch 99], Speed: 291.080 samples/sec, CrossEntropy=2.318, SmoothL1=1.152 [Epoch 107][Batch 199], Speed: 32.463 samples/sec, CrossEntropy=2.303, SmoothL1=1.132 [Epoch 107][Batch 299], Speed: 319.734 samples/sec, CrossEntropy=2.311, SmoothL1=1.138 [Epoch 107][Batch 399], Speed: 312.317 samples/sec, CrossEntropy=2.318, SmoothL1=1.137 [Epoch 107][Batch 499], Speed: 71.060 samples/sec, CrossEntropy=2.317, SmoothL1=1.136 [Epoch 107] Training cost: 248.390, CrossEntropy=2.320, SmoothL1=1.136 [Epoch 107] Validation: aeroplane=0.7308471229794509 bicycle=0.8027990150182323 bird=0.6902864929090989 boat=0.6144713664319061 bottle=0.4672686372212828 bus=0.8010425751256434 car=0.8349677139385496 cat=0.8393688488512142 chair=0.5376347103204533 cow=0.7432277991467919 diningtable=0.6901649929942325 dog=0.7975903521462069 horse=0.8190825260057454 motorbike=0.7729986894132068 person=0.7455258311841867 pottedplant=0.40476028431150224 sheep=0.7376042172244351 sofa=0.7291518856349126 train=0.7841010504976015 tvmonitor=0.7105745821391283 mAP=0.7126734346746891 [Epoch 108][Batch 99], Speed: 24.283 samples/sec, CrossEntropy=2.331, SmoothL1=1.136 [Epoch 108][Batch 199], Speed: 53.904 samples/sec, CrossEntropy=2.338, SmoothL1=1.148 [Epoch 108][Batch 299], Speed: 179.708 samples/sec, CrossEntropy=2.314, SmoothL1=1.123 [Epoch 108][Batch 399], Speed: 79.042 samples/sec, CrossEntropy=2.314, SmoothL1=1.121 [Epoch 108][Batch 499], Speed: 123.112 samples/sec, CrossEntropy=2.316, SmoothL1=1.122 [Epoch 108] Training cost: 247.732, CrossEntropy=2.317, SmoothL1=1.124 [Epoch 108] Validation: aeroplane=0.6858223731194799 bicycle=0.8034433382313267 bird=0.6750853325253937 boat=0.580134470687853 bottle=0.4317999221448967 bus=0.7823035989441091 car=0.8294215860186512 cat=0.8300633369273357 chair=0.5305970448194227 cow=0.7442382046550754 diningtable=0.6781956671797568 dog=0.7999704094346358 horse=0.8056871080066089 motorbike=0.7983365883082116 person=0.7619716314747955 pottedplant=0.41976011051360135 sheep=0.7383524708611338 sofa=0.7226040146590058 train=0.7974374996492047 tvmonitor=0.7017060728349832 mAP=0.7058465390497741 [Epoch 109][Batch 99], Speed: 54.613 samples/sec, CrossEntropy=2.288, SmoothL1=1.119 [Epoch 109][Batch 199], Speed: 193.921 samples/sec, CrossEntropy=2.311, SmoothL1=1.123 [Epoch 109][Batch 299], Speed: 299.475 samples/sec, CrossEntropy=2.314, SmoothL1=1.130 [Epoch 109][Batch 399], Speed: 319.185 samples/sec, CrossEntropy=2.315, SmoothL1=1.130 [Epoch 109][Batch 499], Speed: 34.019 samples/sec, CrossEntropy=2.319, SmoothL1=1.127 [Epoch 109] Training cost: 248.062, CrossEntropy=2.319, SmoothL1=1.125 [Epoch 109] Validation: aeroplane=0.7570615281484223 bicycle=0.796623616884105 bird=0.7116982717658784 boat=0.6338195640002077 bottle=0.4807395146991442 bus=0.783446147787107 car=0.8298693157901356 cat=0.8400502972015894 chair=0.5101221060975508 cow=0.7515632999929014 diningtable=0.6841672015473995 dog=0.8028913454033938 horse=0.8087366827337026 motorbike=0.8013781567354695 person=0.761564810592496 pottedplant=0.4194184281602387 sheep=0.7387455279132636 sofa=0.744104668474455 train=0.80168030681678 tvmonitor=0.7089408420765015 mAP=0.718331081641037 [Epoch 110][Batch 99], Speed: 69.590 samples/sec, CrossEntropy=2.332, SmoothL1=1.127 [Epoch 110][Batch 199], Speed: 56.321 samples/sec, CrossEntropy=2.331, SmoothL1=1.131 [Epoch 110][Batch 299], Speed: 314.758 samples/sec, CrossEntropy=2.330, SmoothL1=1.141 [Epoch 110][Batch 399], Speed: 53.234 samples/sec, CrossEntropy=2.329, SmoothL1=1.136 [Epoch 110][Batch 499], Speed: 72.324 samples/sec, CrossEntropy=2.328, SmoothL1=1.136 [Epoch 110] Training cost: 249.714, CrossEntropy=2.327, SmoothL1=1.136 [Epoch 110] Validation: aeroplane=0.7261144148984727 bicycle=0.8017206626751305 bird=0.6987281496351628 boat=0.623214949233235 bottle=0.44418781460160917 bus=0.7916760119413965 car=0.8276433237642322 cat=0.8345889689209673 chair=0.5185050325436833 cow=0.7518376608705103 diningtable=0.7009501262736403 dog=0.7817624447349624 horse=0.8221613122160055 motorbike=0.7914081294671085 person=0.7593822590885527 pottedplant=0.4107616755737289 sheep=0.7443757123543309 sofa=0.725818332272496 train=0.8052669139376095 tvmonitor=0.7023115578248844 mAP=0.713120772641386 [Epoch 111][Batch 99], Speed: 311.198 samples/sec, CrossEntropy=2.306, SmoothL1=1.112 [Epoch 111][Batch 199], Speed: 29.535 samples/sec, CrossEntropy=2.292, SmoothL1=1.112 [Epoch 111][Batch 299], Speed: 95.730 samples/sec, CrossEntropy=2.291, SmoothL1=1.110 [Epoch 111][Batch 399], Speed: 23.645 samples/sec, CrossEntropy=2.296, SmoothL1=1.115 [Epoch 111][Batch 499], Speed: 115.459 samples/sec, CrossEntropy=2.300, SmoothL1=1.113 [Epoch 111] Training cost: 248.504, CrossEntropy=2.301, SmoothL1=1.114 [Epoch 111] Validation: aeroplane=0.740109052563282 bicycle=0.8247218971510383 bird=0.7166822446462159 boat=0.6348197691802541 bottle=0.45430705894222784 bus=0.7855395411137321 car=0.8422193234238333 cat=0.8433067172864207 chair=0.5377344538827951 cow=0.7377166910733386 diningtable=0.6835065652978235 dog=0.798038905412623 horse=0.8063927254432324 motorbike=0.796973162284198 person=0.7720288988652815 pottedplant=0.41898314220981087 sheep=0.7487877738908643 sofa=0.7137609077429626 train=0.7888384951653362 tvmonitor=0.7167614593456372 mAP=0.7180614392460454 [Epoch 112][Batch 99], Speed: 26.701 samples/sec, CrossEntropy=2.284, SmoothL1=1.084 [Epoch 112][Batch 199], Speed: 46.931 samples/sec, CrossEntropy=2.307, SmoothL1=1.103 [Epoch 112][Batch 299], Speed: 31.404 samples/sec, CrossEntropy=2.318, SmoothL1=1.118 [Epoch 112][Batch 399], Speed: 309.748 samples/sec, CrossEntropy=2.317, SmoothL1=1.115 [Epoch 112][Batch 499], Speed: 36.498 samples/sec, CrossEntropy=2.320, SmoothL1=1.123 [Epoch 112] Training cost: 249.921, CrossEntropy=2.319, SmoothL1=1.124 [Epoch 112] Validation: aeroplane=0.7434467463512133 bicycle=0.7940248957568986 bird=0.6982038897113241 boat=0.6009258205895429 bottle=0.4725643293015948 bus=0.7864060166188044 car=0.8350559189424506 cat=0.833002610505178 chair=0.5263097374670229 cow=0.7147333790930708 diningtable=0.7025169590286974 dog=0.8033419667406664 horse=0.812337866675509 motorbike=0.8002759117534257 person=0.7586312660596801 pottedplant=0.4164140816332559 sheep=0.7167838679094924 sofa=0.7428414099821112 train=0.7984766786250328 tvmonitor=0.690439477433186 mAP=0.7123366415089079 [Epoch 113][Batch 99], Speed: 86.608 samples/sec, CrossEntropy=2.304, SmoothL1=1.146 [Epoch 113][Batch 199], Speed: 185.133 samples/sec, CrossEntropy=2.314, SmoothL1=1.137 [Epoch 113][Batch 299], Speed: 298.535 samples/sec, CrossEntropy=2.311, SmoothL1=1.126 [Epoch 113][Batch 399], Speed: 312.621 samples/sec, CrossEntropy=2.302, SmoothL1=1.126 [Epoch 113][Batch 499], Speed: 47.290 samples/sec, CrossEntropy=2.303, SmoothL1=1.122 [Epoch 113] Training cost: 251.556, CrossEntropy=2.301, SmoothL1=1.122 [Epoch 113] Validation: aeroplane=0.7354224799902901 bicycle=0.8157595006177234 bird=0.7022299484795046 boat=0.6401696808087777 bottle=0.4722634872014934 bus=0.7928539569682638 car=0.8270012647894495 cat=0.8402625510952711 chair=0.514139925470777 cow=0.7405356480139907 diningtable=0.671674380767801 dog=0.8039281566878946 horse=0.8296343919363619 motorbike=0.7869110041960368 person=0.7509964249310742 pottedplant=0.41936115651009187 sheep=0.7248606871437369 sofa=0.7336642119360213 train=0.8002087818640349 tvmonitor=0.7139955270426063 mAP=0.7157936583225599 [Epoch 114][Batch 99], Speed: 93.678 samples/sec, CrossEntropy=2.300, SmoothL1=1.124 [Epoch 114][Batch 199], Speed: 307.158 samples/sec, CrossEntropy=2.304, SmoothL1=1.132 [Epoch 114][Batch 299], Speed: 309.094 samples/sec, CrossEntropy=2.307, SmoothL1=1.131 [Epoch 114][Batch 399], Speed: 38.229 samples/sec, CrossEntropy=2.306, SmoothL1=1.124 [Epoch 114][Batch 499], Speed: 160.805 samples/sec, CrossEntropy=2.305, SmoothL1=1.120 [Epoch 114] Training cost: 250.373, CrossEntropy=2.308, SmoothL1=1.120 [Epoch 114] Validation: aeroplane=0.747896832057937 bicycle=0.7954953681217213 bird=0.7204157657677446 boat=0.6368005481239474 bottle=0.4957224227607716 bus=0.7834400698154242 car=0.8401153275266234 cat=0.8325148803588347 chair=0.5514180870851234 cow=0.7108006621613786 diningtable=0.6805596220765219 dog=0.7990895404577505 horse=0.8246751651979802 motorbike=0.795076134826228 person=0.7564191896185075 pottedplant=0.4309728833718006 sheep=0.689958776848042 sofa=0.7157598873940045 train=0.8168743225388839 tvmonitor=0.7063877227388122 mAP=0.7165196604424019 [Epoch 115][Batch 99], Speed: 109.709 samples/sec, CrossEntropy=2.294, SmoothL1=1.129 [Epoch 115][Batch 199], Speed: 308.652 samples/sec, CrossEntropy=2.286, SmoothL1=1.123 [Epoch 115][Batch 299], Speed: 296.289 samples/sec, CrossEntropy=2.307, SmoothL1=1.123 [Epoch 115][Batch 399], Speed: 316.389 samples/sec, CrossEntropy=2.302, SmoothL1=1.120 [Epoch 115][Batch 499], Speed: 312.755 samples/sec, CrossEntropy=2.307, SmoothL1=1.118 [Epoch 115] Training cost: 252.056, CrossEntropy=2.309, SmoothL1=1.121 [Epoch 115] Validation: aeroplane=0.7480208216108069 bicycle=0.800104359412112 bird=0.7145952869016512 boat=0.6444206979407683 bottle=0.48858950043944016 bus=0.7948774658903022 car=0.8322892217278377 cat=0.8303135854660298 chair=0.5508714879631998 cow=0.7686828173811358 diningtable=0.6773350723098617 dog=0.8069694919658766 horse=0.8105093426728855 motorbike=0.7993431022233198 person=0.756673436266045 pottedplant=0.42378309642265494 sheep=0.7233800390890123 sofa=0.7532472698793546 train=0.8062927330337009 tvmonitor=0.7159881385971105 mAP=0.7223143483596551 [Epoch 116][Batch 99], Speed: 274.563 samples/sec, CrossEntropy=2.290, SmoothL1=1.128 [Epoch 116][Batch 199], Speed: 314.890 samples/sec, CrossEntropy=2.301, SmoothL1=1.126 [Epoch 116][Batch 299], Speed: 312.841 samples/sec, CrossEntropy=2.304, SmoothL1=1.126 [Epoch 116][Batch 399], Speed: 93.325 samples/sec, CrossEntropy=2.302, SmoothL1=1.127 [Epoch 116][Batch 499], Speed: 317.781 samples/sec, CrossEntropy=2.300, SmoothL1=1.129 [Epoch 116] Training cost: 250.834, CrossEntropy=2.300, SmoothL1=1.128 [Epoch 116] Validation: aeroplane=0.7148211163189677 bicycle=0.7998751657795249 bird=0.7037582046542762 boat=0.6306452515605916 bottle=0.4989701196248035 bus=0.7930788379787781 car=0.8291463973471456 cat=0.8287615975046391 chair=0.5398423019476541 cow=0.7514297899263687 diningtable=0.6815349753861825 dog=0.8074092569056197 horse=0.8098114237860244 motorbike=0.7963021819208459 person=0.7541253902223808 pottedplant=0.4335722555908188 sheep=0.7302956545869087 sofa=0.7535545129171882 train=0.8066372053145455 tvmonitor=0.7100437276971969 mAP=0.7186807683485232 [Epoch 117][Batch 99], Speed: 56.980 samples/sec, CrossEntropy=2.279, SmoothL1=1.137 [Epoch 117][Batch 199], Speed: 316.283 samples/sec, CrossEntropy=2.277, SmoothL1=1.117 [Epoch 117][Batch 299], Speed: 25.706 samples/sec, CrossEntropy=2.276, SmoothL1=1.121 [Epoch 117][Batch 399], Speed: 81.679 samples/sec, CrossEntropy=2.281, SmoothL1=1.121 [Epoch 117][Batch 499], Speed: 303.295 samples/sec, CrossEntropy=2.288, SmoothL1=1.124 [Epoch 117] Training cost: 252.629, CrossEntropy=2.289, SmoothL1=1.126 [Epoch 117] Validation: aeroplane=0.7037017808554606 bicycle=0.8203921703501535 bird=0.7233483259406938 boat=0.6275312554625474 bottle=0.47586114720786665 bus=0.8067825851165494 car=0.8277939365278225 cat=0.8254705645640744 chair=0.5340948404881968 cow=0.7351403486648823 diningtable=0.6882685487020963 dog=0.7755279962212529 horse=0.8185888137274717 motorbike=0.7965042668112584 person=0.7570645032963997 pottedplant=0.4171385378646709 sheep=0.7319618947292377 sofa=0.7487979528482862 train=0.8052954886158964 tvmonitor=0.712946347972878 mAP=0.7166105652983848 [Epoch 118][Batch 99], Speed: 48.323 samples/sec, CrossEntropy=2.304, SmoothL1=1.142 [Epoch 118][Batch 199], Speed: 101.007 samples/sec, CrossEntropy=2.295, SmoothL1=1.128 [Epoch 118][Batch 299], Speed: 285.061 samples/sec, CrossEntropy=2.290, SmoothL1=1.121 [Epoch 118][Batch 399], Speed: 40.118 samples/sec, CrossEntropy=2.294, SmoothL1=1.115 [Epoch 118][Batch 499], Speed: 278.257 samples/sec, CrossEntropy=2.292, SmoothL1=1.116 [Epoch 118] Training cost: 250.980, CrossEntropy=2.290, SmoothL1=1.116 [Epoch 118] Validation: aeroplane=0.744521536526616 bicycle=0.800933974924794 bird=0.7112042731773414 boat=0.5843615981521724 bottle=0.48243645443729605 bus=0.8020676842557845 car=0.8289812083390012 cat=0.8241916316810431 chair=0.5224314165874276 cow=0.7365065163680561 diningtable=0.6733689237397489 dog=0.8006839302422335 horse=0.7991100738193735 motorbike=0.785776263356312 person=0.7620889051863969 pottedplant=0.4094999023667783 sheep=0.7449344198771584 sofa=0.7186348196987504 train=0.8004206598099645 tvmonitor=0.7168079070993049 mAP=0.7124481049822775 [Epoch 119][Batch 99], Speed: 47.550 samples/sec, CrossEntropy=2.312, SmoothL1=1.125 [Epoch 119][Batch 199], Speed: 146.228 samples/sec, CrossEntropy=2.301, SmoothL1=1.120 [Epoch 119][Batch 299], Speed: 31.527 samples/sec, CrossEntropy=2.296, SmoothL1=1.114 [Epoch 119][Batch 399], Speed: 309.168 samples/sec, CrossEntropy=2.296, SmoothL1=1.113 [Epoch 119][Batch 499], Speed: 73.091 samples/sec, CrossEntropy=2.293, SmoothL1=1.118 [Epoch 119] Training cost: 249.442, CrossEntropy=2.296, SmoothL1=1.121 [Epoch 119] Validation: aeroplane=0.7582239364012001 bicycle=0.8129530306220579 bird=0.7118279296849054 boat=0.6178619353799795 bottle=0.45816346430402927 bus=0.7875951574035399 car=0.8304411356185628 cat=0.8330431346110442 chair=0.5221043713367729 cow=0.7091873373611313 diningtable=0.6821946852163163 dog=0.8043524424055211 horse=0.8110756406489301 motorbike=0.7994983212636513 person=0.761410290236641 pottedplant=0.4154955563618046 sheep=0.7295558238590767 sofa=0.7350665215714456 train=0.7991170142687117 tvmonitor=0.6945946498196651 mAP=0.7136881189187492 [Epoch 120][Batch 99], Speed: 208.897 samples/sec, CrossEntropy=2.328, SmoothL1=1.138 [Epoch 120][Batch 199], Speed: 85.216 samples/sec, CrossEntropy=2.308, SmoothL1=1.124 [Epoch 120][Batch 299], Speed: 74.046 samples/sec, CrossEntropy=2.296, SmoothL1=1.121 [Epoch 120][Batch 399], Speed: 110.757 samples/sec, CrossEntropy=2.293, SmoothL1=1.119 [Epoch 120][Batch 499], Speed: 57.268 samples/sec, CrossEntropy=2.296, SmoothL1=1.123 [Epoch 120] Training cost: 253.085, CrossEntropy=2.297, SmoothL1=1.123 [Epoch 120] Validation: aeroplane=0.7071658041967702 bicycle=0.8000072504743054 bird=0.6938804263842642 boat=0.5671829165173633 bottle=0.47119823490038437 bus=0.7618971097360705 car=0.8158731634107423 cat=0.8128080489815407 chair=0.51599027256144 cow=0.6946620941529857 diningtable=0.6829721715738927 dog=0.7486422357921366 horse=0.7838078079382931 motorbike=0.7903234475804873 person=0.7428580458955865 pottedplant=0.42631155911631113 sheep=0.7289604551567672 sofa=0.7120064967262484 train=0.8089437011910501 tvmonitor=0.6985259417817589 mAP=0.6982008592034199 [Epoch 121][Batch 99], Speed: 47.538 samples/sec, CrossEntropy=2.250, SmoothL1=1.088 [Epoch 121][Batch 199], Speed: 28.261 samples/sec, CrossEntropy=2.264, SmoothL1=1.089 [Epoch 121][Batch 299], Speed: 32.760 samples/sec, CrossEntropy=2.281, SmoothL1=1.103 [Epoch 121][Batch 399], Speed: 55.443 samples/sec, CrossEntropy=2.285, SmoothL1=1.103 [Epoch 121][Batch 499], Speed: 316.381 samples/sec, CrossEntropy=2.285, SmoothL1=1.102 [Epoch 121] Training cost: 250.964, CrossEntropy=2.286, SmoothL1=1.104 [Epoch 121] Validation: aeroplane=0.7397491735390276 bicycle=0.8150026808670686 bird=0.6971916416002818 boat=0.6008531170378857 bottle=0.48731318048102557 bus=0.7727464376441524 car=0.8384407572665497 cat=0.8312600683661011 chair=0.5242118271303225 cow=0.7266095366541895 diningtable=0.6954988696499093 dog=0.8008673551634876 horse=0.8009808958903871 motorbike=0.8059994590884629 person=0.7652774800738847 pottedplant=0.4311796334802072 sheep=0.7088243366229705 sofa=0.7420456350412047 train=0.7848188034419923 tvmonitor=0.7081576005851444 mAP=0.7138514244812127 [Epoch 122][Batch 99], Speed: 28.793 samples/sec, CrossEntropy=2.286, SmoothL1=1.082 [Epoch 122][Batch 199], Speed: 33.801 samples/sec, CrossEntropy=2.290, SmoothL1=1.111 [Epoch 122][Batch 299], Speed: 33.510 samples/sec, CrossEntropy=2.293, SmoothL1=1.109 [Epoch 122][Batch 399], Speed: 294.665 samples/sec, CrossEntropy=2.294, SmoothL1=1.120 [Epoch 122][Batch 499], Speed: 42.000 samples/sec, CrossEntropy=2.287, SmoothL1=1.114 [Epoch 122] Training cost: 252.550, CrossEntropy=2.287, SmoothL1=1.114 [Epoch 122] Validation: aeroplane=0.7567619993033776 bicycle=0.8179165480524783 bird=0.7250856461212338 boat=0.6095052901405213 bottle=0.47586018770753946 bus=0.7777585270991466 car=0.8315662802426643 cat=0.8313804237080651 chair=0.5436955730362473 cow=0.7856986819103631 diningtable=0.6932631295675674 dog=0.8136864076017237 horse=0.830402829076085 motorbike=0.7989734838178478 person=0.766705302700972 pottedplant=0.42001425735479736 sheep=0.7608609359479314 sofa=0.7194385836683289 train=0.7947487170548619 tvmonitor=0.7078867334747095 mAP=0.723060476879323 [Epoch 123][Batch 99], Speed: 82.048 samples/sec, CrossEntropy=2.257, SmoothL1=1.108 [Epoch 123][Batch 199], Speed: 313.654 samples/sec, CrossEntropy=2.271, SmoothL1=1.118 [Epoch 123][Batch 299], Speed: 311.776 samples/sec, CrossEntropy=2.289, SmoothL1=1.123 [Epoch 123][Batch 399], Speed: 312.484 samples/sec, CrossEntropy=2.282, SmoothL1=1.117 [Epoch 123][Batch 499], Speed: 145.021 samples/sec, CrossEntropy=2.276, SmoothL1=1.113 [Epoch 123] Training cost: 251.875, CrossEntropy=2.275, SmoothL1=1.111 [Epoch 123] Validation: aeroplane=0.7329030787925995 bicycle=0.8043056087016517 bird=0.7150744297885681 boat=0.6312010262561191 bottle=0.49775084807878445 bus=0.7912852079347695 car=0.8412862920762874 cat=0.833360363143953 chair=0.5255149188723425 cow=0.7467279526120894 diningtable=0.6838974916406279 dog=0.8073292117836188 horse=0.8160833334002386 motorbike=0.7918701219561107 person=0.7624017747244982 pottedplant=0.4284661888143562 sheep=0.7337394485405149 sofa=0.777020214872473 train=0.8253895997102256 tvmonitor=0.6993309495765065 mAP=0.7222469030638167 [Epoch 124][Batch 99], Speed: 25.956 samples/sec, CrossEntropy=2.259, SmoothL1=1.092 [Epoch 124][Batch 199], Speed: 293.009 samples/sec, CrossEntropy=2.271, SmoothL1=1.099 [Epoch 124][Batch 299], Speed: 24.713 samples/sec, CrossEntropy=2.267, SmoothL1=1.105 [Epoch 124][Batch 399], Speed: 17.424 samples/sec, CrossEntropy=2.274, SmoothL1=1.105 [Epoch 124][Batch 499], Speed: 36.662 samples/sec, CrossEntropy=2.277, SmoothL1=1.104 [Epoch 124] Training cost: 250.110, CrossEntropy=2.276, SmoothL1=1.104 [Epoch 124] Validation: aeroplane=0.7249354537784569 bicycle=0.8234333952743252 bird=0.7219006719060911 boat=0.6274093765984794 bottle=0.4722840962519687 bus=0.7834620826004346 car=0.8362498970016043 cat=0.8455019488871824 chair=0.5521915306031882 cow=0.7380164697629706 diningtable=0.6899376288620962 dog=0.8141880426022274 horse=0.8121915863035652 motorbike=0.7960370860910893 person=0.7608574402757746 pottedplant=0.4288486118692886 sheep=0.7586887284414889 sofa=0.7388197598625417 train=0.796748538395269 tvmonitor=0.7243998290794357 mAP=0.722305108722374 [Epoch 125][Batch 99], Speed: 29.652 samples/sec, CrossEntropy=2.301, SmoothL1=1.142 [Epoch 125][Batch 199], Speed: 69.100 samples/sec, CrossEntropy=2.267, SmoothL1=1.114 [Epoch 125][Batch 299], Speed: 144.592 samples/sec, CrossEntropy=2.266, SmoothL1=1.107 [Epoch 125][Batch 399], Speed: 48.462 samples/sec, CrossEntropy=2.262, SmoothL1=1.108 [Epoch 125][Batch 499], Speed: 64.262 samples/sec, CrossEntropy=2.267, SmoothL1=1.110 [Epoch 125] Training cost: 249.754, CrossEntropy=2.268, SmoothL1=1.111 [Epoch 125] Validation: aeroplane=0.7592519546957617 bicycle=0.8128436881513201 bird=0.7074593633276691 boat=0.6215418074839322 bottle=0.4806639653150817 bus=0.7807197939993559 car=0.827550475769059 cat=0.834501391221311 chair=0.5474766091095365 cow=0.7286622619394191 diningtable=0.6835960623239575 dog=0.801649474487204 horse=0.8140283585654624 motorbike=0.8037463324601453 person=0.751949866266279 pottedplant=0.4259549715449757 sheep=0.7111429010192434 sofa=0.7245290821725446 train=0.8053529877932212 tvmonitor=0.7096790362951805 mAP=0.7166150191970331 [Epoch 126][Batch 99], Speed: 67.284 samples/sec, CrossEntropy=2.256, SmoothL1=1.091 [Epoch 126][Batch 199], Speed: 121.979 samples/sec, CrossEntropy=2.273, SmoothL1=1.107 [Epoch 126][Batch 299], Speed: 298.792 samples/sec, CrossEntropy=2.275, SmoothL1=1.096 [Epoch 126][Batch 399], Speed: 253.174 samples/sec, CrossEntropy=2.279, SmoothL1=1.103 [Epoch 126][Batch 499], Speed: 58.251 samples/sec, CrossEntropy=2.279, SmoothL1=1.104 [Epoch 126] Training cost: 251.907, CrossEntropy=2.276, SmoothL1=1.104 [Epoch 126] Validation: aeroplane=0.7112576953683836 bicycle=0.8170525361034767 bird=0.7173375380303817 boat=0.622254013613673 bottle=0.4749728347553642 bus=0.8092568438754131 car=0.8451206700705972 cat=0.8373876626462365 chair=0.5286246785584116 cow=0.7519400921400041 diningtable=0.6872990349600107 dog=0.8024299175927068 horse=0.8057040199523048 motorbike=0.8053050611369071 person=0.7636350085931257 pottedplant=0.4282108088851273 sheep=0.749566243863004 sofa=0.7425071706349087 train=0.8121293629089754 tvmonitor=0.6951182454037661 mAP=0.7203554719546389 [Epoch 127][Batch 99], Speed: 310.565 samples/sec, CrossEntropy=2.262, SmoothL1=1.072 [Epoch 127][Batch 199], Speed: 28.961 samples/sec, CrossEntropy=2.270, SmoothL1=1.094 [Epoch 127][Batch 299], Speed: 117.709 samples/sec, CrossEntropy=2.266, SmoothL1=1.084 [Epoch 127][Batch 399], Speed: 95.301 samples/sec, CrossEntropy=2.266, SmoothL1=1.082 [Epoch 127][Batch 499], Speed: 79.895 samples/sec, CrossEntropy=2.267, SmoothL1=1.089 [Epoch 127] Training cost: 252.027, CrossEntropy=2.269, SmoothL1=1.091 [Epoch 127] Validation: aeroplane=0.7564595467746024 bicycle=0.8213019486373204 bird=0.711689142682799 boat=0.6002179410885988 bottle=0.4512141910767481 bus=0.7732445962940726 car=0.8269649691635582 cat=0.8383110151104175 chair=0.5024350963569909 cow=0.7134366617272663 diningtable=0.706257999608254 dog=0.801276730772456 horse=0.7993747615227311 motorbike=0.7972293394313735 person=0.7579252445937089 pottedplant=0.3922691709162058 sheep=0.7395018374222789 sofa=0.7307250376196083 train=0.8036267289973141 tvmonitor=0.7070378309711394 mAP=0.7115249895383722 [Epoch 128][Batch 99], Speed: 58.975 samples/sec, CrossEntropy=2.250, SmoothL1=1.091 [Epoch 128][Batch 199], Speed: 312.019 samples/sec, CrossEntropy=2.263, SmoothL1=1.113 [Epoch 128][Batch 299], Speed: 308.069 samples/sec, CrossEntropy=2.255, SmoothL1=1.102 [Epoch 128][Batch 399], Speed: 74.263 samples/sec, CrossEntropy=2.258, SmoothL1=1.099 [Epoch 128][Batch 499], Speed: 304.061 samples/sec, CrossEntropy=2.261, SmoothL1=1.098 [Epoch 128] Training cost: 252.734, CrossEntropy=2.261, SmoothL1=1.098 [Epoch 128] Validation: aeroplane=0.7537249170173832 bicycle=0.7833065414619608 bird=0.6994972501300597 boat=0.6155517372363826 bottle=0.48298724690532363 bus=0.8044735491173143 car=0.8382202023976599 cat=0.8406356218462315 chair=0.5504756905672107 cow=0.7545779672039621 diningtable=0.7023838138861127 dog=0.8152580864821474 horse=0.8217389018587269 motorbike=0.8092544997108562 person=0.7628977283311213 pottedplant=0.445761844999152 sheep=0.7215326020336328 sofa=0.7565507744387587 train=0.8067351889578221 tvmonitor=0.7163679232311503 mAP=0.7240966043906484 [Epoch 129][Batch 99], Speed: 33.526 samples/sec, CrossEntropy=2.240, SmoothL1=1.095 [Epoch 129][Batch 199], Speed: 47.092 samples/sec, CrossEntropy=2.227, SmoothL1=1.072 [Epoch 129][Batch 299], Speed: 38.886 samples/sec, CrossEntropy=2.242, SmoothL1=1.086 [Epoch 129][Batch 399], Speed: 42.468 samples/sec, CrossEntropy=2.248, SmoothL1=1.095 [Epoch 129][Batch 499], Speed: 73.216 samples/sec, CrossEntropy=2.246, SmoothL1=1.092 [Epoch 129] Training cost: 250.990, CrossEntropy=2.247, SmoothL1=1.089 [Epoch 129] Validation: aeroplane=0.7271646579009181 bicycle=0.8237204509022121 bird=0.7023390659273684 boat=0.6250273214957287 bottle=0.47128771503219435 bus=0.7770709017797315 car=0.8432794399202121 cat=0.8304530020849294 chair=0.5374883059759088 cow=0.7619243893414552 diningtable=0.7084790831391625 dog=0.7913759430302921 horse=0.8203054418228233 motorbike=0.8120314957586157 person=0.7533490208129808 pottedplant=0.44580392819914944 sheep=0.7447464533903978 sofa=0.7674874564246258 train=0.8031411927101244 tvmonitor=0.7119948739461539 mAP=0.7229235069797492 [Epoch 130][Batch 99], Speed: 282.041 samples/sec, CrossEntropy=2.240, SmoothL1=1.072 [Epoch 130][Batch 199], Speed: 24.721 samples/sec, CrossEntropy=2.243, SmoothL1=1.086 [Epoch 130][Batch 299], Speed: 273.253 samples/sec, CrossEntropy=2.235, SmoothL1=1.079 [Epoch 130][Batch 399], Speed: 99.174 samples/sec, CrossEntropy=2.238, SmoothL1=1.079 [Epoch 130][Batch 499], Speed: 129.853 samples/sec, CrossEntropy=2.241, SmoothL1=1.083 [Epoch 130] Training cost: 248.284, CrossEntropy=2.243, SmoothL1=1.085 [Epoch 130] Validation: aeroplane=0.7577039516668358 bicycle=0.8021238266751629 bird=0.6998969681426179 boat=0.6456641519121356 bottle=0.46302132005243535 bus=0.7999299952638881 car=0.8342021223965772 cat=0.8396951969620973 chair=0.541879296324578 cow=0.7615642292100115 diningtable=0.7184477680883088 dog=0.7952628628409308 horse=0.8211339565594735 motorbike=0.8056103370893083 person=0.766243054836188 pottedplant=0.4248474692758202 sheep=0.7532339024574831 sofa=0.7385839151763818 train=0.799472334189446 tvmonitor=0.7137446453310021 mAP=0.724113065222534 [Epoch 131][Batch 99], Speed: 314.970 samples/sec, CrossEntropy=2.229, SmoothL1=1.090 [Epoch 131][Batch 199], Speed: 112.582 samples/sec, CrossEntropy=2.246, SmoothL1=1.097 [Epoch 131][Batch 299], Speed: 99.512 samples/sec, CrossEntropy=2.248, SmoothL1=1.090 [Epoch 131][Batch 399], Speed: 28.150 samples/sec, CrossEntropy=2.244, SmoothL1=1.090 [Epoch 131][Batch 499], Speed: 33.061 samples/sec, CrossEntropy=2.248, SmoothL1=1.092 [Epoch 131] Training cost: 249.141, CrossEntropy=2.246, SmoothL1=1.089 [Epoch 131] Validation: aeroplane=0.7526168359803203 bicycle=0.8219478422040173 bird=0.7120991617282298 boat=0.6159219078883275 bottle=0.4968686743733901 bus=0.7818043073817983 car=0.8272058468696987 cat=0.8436843887771814 chair=0.5271933340657591 cow=0.7789226097349978 diningtable=0.6952445793539301 dog=0.8000193051082738 horse=0.8252966212355051 motorbike=0.7988362543174155 person=0.76719824160579 pottedplant=0.4145743796921257 sheep=0.7302760426208341 sofa=0.7416020071194741 train=0.7931314458182026 tvmonitor=0.7013223838312936 mAP=0.7212883084853282 [Epoch 132][Batch 99], Speed: 142.016 samples/sec, CrossEntropy=2.254, SmoothL1=1.070 [Epoch 132][Batch 199], Speed: 27.509 samples/sec, CrossEntropy=2.264, SmoothL1=1.101 [Epoch 132][Batch 299], Speed: 56.894 samples/sec, CrossEntropy=2.263, SmoothL1=1.101 [Epoch 132][Batch 399], Speed: 306.267 samples/sec, CrossEntropy=2.267, SmoothL1=1.106 [Epoch 132][Batch 499], Speed: 47.490 samples/sec, CrossEntropy=2.263, SmoothL1=1.102 [Epoch 132] Training cost: 249.824, CrossEntropy=2.262, SmoothL1=1.101 [Epoch 132] Validation: aeroplane=0.7549770772358133 bicycle=0.8165036377011298 bird=0.7197694877792604 boat=0.6187157242095126 bottle=0.5208733962464387 bus=0.787440811709906 car=0.8337623280168035 cat=0.8330257139397896 chair=0.5417135671534791 cow=0.7871717924477843 diningtable=0.6995147660772872 dog=0.7932848216915425 horse=0.8254503983044094 motorbike=0.7949664131842036 person=0.7589677238292364 pottedplant=0.4394012754297758 sheep=0.691502334756564 sofa=0.7422572487961965 train=0.8110824436250679 tvmonitor=0.7161208704370322 mAP=0.7243250916285617 [Epoch 133][Batch 99], Speed: 106.979 samples/sec, CrossEntropy=2.238, SmoothL1=1.082 [Epoch 133][Batch 199], Speed: 40.145 samples/sec, CrossEntropy=2.242, SmoothL1=1.095 [Epoch 133][Batch 299], Speed: 286.647 samples/sec, CrossEntropy=2.244, SmoothL1=1.090 [Epoch 133][Batch 399], Speed: 309.656 samples/sec, CrossEntropy=2.242, SmoothL1=1.082 [Epoch 133][Batch 499], Speed: 45.803 samples/sec, CrossEntropy=2.246, SmoothL1=1.089 [Epoch 133] Training cost: 247.756, CrossEntropy=2.246, SmoothL1=1.088 [Epoch 133] Validation: aeroplane=0.7422913789520719 bicycle=0.809467583459303 bird=0.729037807986891 boat=0.6381382469023368 bottle=0.46169618333012524 bus=0.7912700887408817 car=0.8348817344953181 cat=0.8475369170768083 chair=0.5445977954586392 cow=0.7479424315131551 diningtable=0.7063014487930742 dog=0.8074361286035217 horse=0.8198355065158889 motorbike=0.8082114776188598 person=0.7640510856911079 pottedplant=0.4568321394294252 sheep=0.7647988614817912 sofa=0.7393227860851996 train=0.7967314831674914 tvmonitor=0.7124778279028255 mAP=0.7261429456602359 [Epoch 134][Batch 99], Speed: 47.278 samples/sec, CrossEntropy=2.266, SmoothL1=1.108 [Epoch 134][Batch 199], Speed: 64.899 samples/sec, CrossEntropy=2.252, SmoothL1=1.093 [Epoch 134][Batch 299], Speed: 34.408 samples/sec, CrossEntropy=2.242, SmoothL1=1.080 [Epoch 134][Batch 399], Speed: 292.360 samples/sec, CrossEntropy=2.242, SmoothL1=1.077 [Epoch 134][Batch 499], Speed: 315.377 samples/sec, CrossEntropy=2.241, SmoothL1=1.075 [Epoch 134] Training cost: 249.496, CrossEntropy=2.240, SmoothL1=1.075 [Epoch 134] Validation: aeroplane=0.7411876258511435 bicycle=0.8170846961527761 bird=0.7156106578456598 boat=0.6108381366731153 bottle=0.5032007731025255 bus=0.7898632490245192 car=0.8311616682593482 cat=0.8284746500226545 chair=0.5265977728579139 cow=0.713671235485166 diningtable=0.7001145842062363 dog=0.8043957335039712 horse=0.8054456463344013 motorbike=0.7938919088230832 person=0.7679223357082764 pottedplant=0.40531267249898517 sheep=0.7072965464125989 sofa=0.7246380670169192 train=0.7987036912012686 tvmonitor=0.7183794671644982 mAP=0.715189555907253 [Epoch 135][Batch 99], Speed: 315.697 samples/sec, CrossEntropy=2.230, SmoothL1=1.059 [Epoch 135][Batch 199], Speed: 296.571 samples/sec, CrossEntropy=2.230, SmoothL1=1.079 [Epoch 135][Batch 299], Speed: 83.068 samples/sec, CrossEntropy=2.236, SmoothL1=1.084 [Epoch 135][Batch 399], Speed: 44.363 samples/sec, CrossEntropy=2.242, SmoothL1=1.088 [Epoch 135][Batch 499], Speed: 49.928 samples/sec, CrossEntropy=2.247, SmoothL1=1.093 [Epoch 135] Training cost: 249.002, CrossEntropy=2.249, SmoothL1=1.097 [Epoch 135] Validation: aeroplane=0.7293018958924802 bicycle=0.8098334896338317 bird=0.7330543831910307 boat=0.6248101367297805 bottle=0.4648659838320571 bus=0.7824809234170027 car=0.830104813736775 cat=0.8264234002707618 chair=0.5374711815781406 cow=0.7768206038881005 diningtable=0.7141558411101553 dog=0.8079556364479471 horse=0.8198020068330811 motorbike=0.8129608071718243 person=0.763903486311018 pottedplant=0.43124027432806294 sheep=0.7221986130892284 sofa=0.7672095388908454 train=0.8077696811309456 tvmonitor=0.701555401415655 mAP=0.7231959049449362 [Epoch 136][Batch 99], Speed: 73.119 samples/sec, CrossEntropy=2.238, SmoothL1=1.060 [Epoch 136][Batch 199], Speed: 308.152 samples/sec, CrossEntropy=2.237, SmoothL1=1.079 [Epoch 136][Batch 299], Speed: 23.964 samples/sec, CrossEntropy=2.237, SmoothL1=1.075 [Epoch 136][Batch 399], Speed: 34.142 samples/sec, CrossEntropy=2.244, SmoothL1=1.080 [Epoch 136][Batch 499], Speed: 317.057 samples/sec, CrossEntropy=2.246, SmoothL1=1.083 [Epoch 136] Training cost: 251.165, CrossEntropy=2.246, SmoothL1=1.084 [Epoch 136] Validation: aeroplane=0.7427070912441681 bicycle=0.8096136167664025 bird=0.7081935893795849 boat=0.6270601711376041 bottle=0.47024963988897633 bus=0.7775515261359579 car=0.8383386991295151 cat=0.8205425610041813 chair=0.522964613198326 cow=0.7552864213995284 diningtable=0.698929716145397 dog=0.7882014474980465 horse=0.8212844373675056 motorbike=0.8105298556213965 person=0.7620394585479954 pottedplant=0.4320821927689177 sheep=0.7482173056938162 sofa=0.7499562369018424 train=0.7896946751008106 tvmonitor=0.7125440545798772 mAP=0.7192993654754926 [Epoch 137][Batch 99], Speed: 70.269 samples/sec, CrossEntropy=2.234, SmoothL1=1.077 [Epoch 137][Batch 199], Speed: 65.776 samples/sec, CrossEntropy=2.230, SmoothL1=1.078 [Epoch 137][Batch 299], Speed: 68.027 samples/sec, CrossEntropy=2.227, SmoothL1=1.078 [Epoch 137][Batch 399], Speed: 127.682 samples/sec, CrossEntropy=2.225, SmoothL1=1.082 [Epoch 137][Batch 499], Speed: 30.240 samples/sec, CrossEntropy=2.235, SmoothL1=1.087 [Epoch 137] Training cost: 249.618, CrossEntropy=2.234, SmoothL1=1.086 [Epoch 137] Validation: aeroplane=0.6892710697484965 bicycle=0.8276993839154111 bird=0.7050780783466772 boat=0.6024332669471046 bottle=0.4711656580934748 bus=0.7974619855908568 car=0.8205479236970733 cat=0.8342733405569012 chair=0.5375660854803054 cow=0.7234655289468124 diningtable=0.7035393625627799 dog=0.7897729882357029 horse=0.8232438125438455 motorbike=0.8019249949243504 person=0.7403791426790989 pottedplant=0.4208290600992961 sheep=0.7064072343490061 sofa=0.7332137027596335 train=0.8053790654746543 tvmonitor=0.7145662716660398 mAP=0.7124108978308761 [Epoch 138][Batch 99], Speed: 45.252 samples/sec, CrossEntropy=2.224, SmoothL1=1.062 [Epoch 138][Batch 199], Speed: 312.436 samples/sec, CrossEntropy=2.232, SmoothL1=1.060 [Epoch 138][Batch 299], Speed: 21.949 samples/sec, CrossEntropy=2.230, SmoothL1=1.063 [Epoch 138][Batch 399], Speed: 308.093 samples/sec, CrossEntropy=2.235, SmoothL1=1.075 [Epoch 138][Batch 499], Speed: 32.770 samples/sec, CrossEntropy=2.242, SmoothL1=1.084 [Epoch 138] Training cost: 250.609, CrossEntropy=2.244, SmoothL1=1.089 [Epoch 138] Validation: aeroplane=0.7419342436903039 bicycle=0.8151892927977629 bird=0.7038911987447677 boat=0.6453818387441751 bottle=0.4967606618663223 bus=0.7972771644629052 car=0.8283645990837275 cat=0.820528723820376 chair=0.5227087626442327 cow=0.7544903374025573 diningtable=0.6832365833774102 dog=0.8048867963352461 horse=0.8138638318334026 motorbike=0.8010118931807417 person=0.7625923027671184 pottedplant=0.4015354120790556 sheep=0.718115021951565 sofa=0.7160761016630688 train=0.8018768642585196 tvmonitor=0.7081283164703046 mAP=0.7168924973586781 [Epoch 139][Batch 99], Speed: 292.028 samples/sec, CrossEntropy=2.205, SmoothL1=1.094 [Epoch 139][Batch 199], Speed: 90.801 samples/sec, CrossEntropy=2.210, SmoothL1=1.077 [Epoch 139][Batch 299], Speed: 227.932 samples/sec, CrossEntropy=2.215, SmoothL1=1.085 [Epoch 139][Batch 399], Speed: 100.199 samples/sec, CrossEntropy=2.221, SmoothL1=1.088 [Epoch 139][Batch 499], Speed: 56.332 samples/sec, CrossEntropy=2.224, SmoothL1=1.086 [Epoch 139] Training cost: 251.160, CrossEntropy=2.224, SmoothL1=1.084 [Epoch 139] Validation: aeroplane=0.752185771003559 bicycle=0.8068686305521694 bird=0.7246230346518844 boat=0.6138243464125306 bottle=0.46792567855477213 bus=0.8086133062713113 car=0.8343308180048132 cat=0.829289298439086 chair=0.5397368025851548 cow=0.7667650571966094 diningtable=0.6583020010241336 dog=0.8162682027970911 horse=0.826453281266841 motorbike=0.8089509421609813 person=0.7692151813703546 pottedplant=0.4308413053547238 sheep=0.7437001431043648 sofa=0.7251507690078954 train=0.8154539216364174 tvmonitor=0.6909567341469561 mAP=0.7214727612770824 [Epoch 140][Batch 99], Speed: 162.955 samples/sec, CrossEntropy=2.233, SmoothL1=1.051 [Epoch 140][Batch 199], Speed: 308.900 samples/sec, CrossEntropy=2.211, SmoothL1=1.050 [Epoch 140][Batch 299], Speed: 34.696 samples/sec, CrossEntropy=2.223, SmoothL1=1.057 [Epoch 140][Batch 399], Speed: 88.147 samples/sec, CrossEntropy=2.229, SmoothL1=1.069 [Epoch 140][Batch 499], Speed: 293.048 samples/sec, CrossEntropy=2.234, SmoothL1=1.076 [Epoch 140] Training cost: 248.884, CrossEntropy=2.232, SmoothL1=1.074 [Epoch 140] Validation: aeroplane=0.7290070716882706 bicycle=0.821271345394143 bird=0.6937314985379047 boat=0.6091152781614199 bottle=0.45820710761420724 bus=0.7812139322537958 car=0.8327594022337944 cat=0.8221008287673007 chair=0.5312696511015969 cow=0.7134386018348858 diningtable=0.6804973383187509 dog=0.7874521534523485 horse=0.8029198653635233 motorbike=0.7869628301461828 person=0.7599517241589854 pottedplant=0.42307905407678675 sheep=0.7368381549276654 sofa=0.7531392847384764 train=0.8069978022380139 tvmonitor=0.7182330367031879 mAP=0.712409298085562 [Epoch 141][Batch 99], Speed: 54.518 samples/sec, CrossEntropy=2.198, SmoothL1=1.028 [Epoch 141][Batch 199], Speed: 27.563 samples/sec, CrossEntropy=2.195, SmoothL1=1.049 [Epoch 141][Batch 299], Speed: 77.734 samples/sec, CrossEntropy=2.202, SmoothL1=1.052 [Epoch 141][Batch 399], Speed: 253.826 samples/sec, CrossEntropy=2.220, SmoothL1=1.065 [Epoch 141][Batch 499], Speed: 308.068 samples/sec, CrossEntropy=2.228, SmoothL1=1.074 [Epoch 141] Training cost: 248.725, CrossEntropy=2.228, SmoothL1=1.074 [Epoch 141] Validation: aeroplane=0.7516344830922046 bicycle=0.8077444749745104 bird=0.7166554232325758 boat=0.6169553570246296 bottle=0.49954163510089034 bus=0.783087796160936 car=0.8326403137541452 cat=0.8276045593060869 chair=0.5249009584119189 cow=0.7437627761494292 diningtable=0.6860243785524764 dog=0.7977362937366633 horse=0.833418485420866 motorbike=0.8070856846935286 person=0.7623507612612752 pottedplant=0.4323076603532654 sheep=0.7495174991292385 sofa=0.7507746303413834 train=0.8001726826179727 tvmonitor=0.7188501041307965 mAP=0.7221382978722397 [Epoch 142][Batch 99], Speed: 305.029 samples/sec, CrossEntropy=2.242, SmoothL1=1.074 [Epoch 142][Batch 199], Speed: 89.422 samples/sec, CrossEntropy=2.217, SmoothL1=1.070 [Epoch 142][Batch 299], Speed: 30.317 samples/sec, CrossEntropy=2.218, SmoothL1=1.075 [Epoch 142][Batch 399], Speed: 63.522 samples/sec, CrossEntropy=2.226, SmoothL1=1.077 [Epoch 142][Batch 499], Speed: 25.648 samples/sec, CrossEntropy=2.225, SmoothL1=1.071 [Epoch 142] Training cost: 249.452, CrossEntropy=2.229, SmoothL1=1.073 [Epoch 142] Validation: aeroplane=0.7449655761056244 bicycle=0.8006966940780894 bird=0.6834405370269376 boat=0.5959356826564578 bottle=0.4305134300614469 bus=0.7973765407776406 car=0.8328156774618124 cat=0.8296788320232374 chair=0.5256973149700732 cow=0.7597415399976943 diningtable=0.6928667637418326 dog=0.8036015446146505 horse=0.8089348224184811 motorbike=0.8043531515635707 person=0.7402685419013428 pottedplant=0.4091789307145945 sheep=0.7253346033601433 sofa=0.6986258553184619 train=0.8154853987829013 tvmonitor=0.7306308646705925 mAP=0.7115071151122792 [Epoch 143][Batch 99], Speed: 50.885 samples/sec, CrossEntropy=2.216, SmoothL1=1.088 [Epoch 143][Batch 199], Speed: 308.076 samples/sec, CrossEntropy=2.213, SmoothL1=1.087 [Epoch 143][Batch 299], Speed: 280.025 samples/sec, CrossEntropy=2.219, SmoothL1=1.082 [Epoch 143][Batch 399], Speed: 32.422 samples/sec, CrossEntropy=2.226, SmoothL1=1.079 [Epoch 143][Batch 499], Speed: 129.320 samples/sec, CrossEntropy=2.231, SmoothL1=1.078 [Epoch 143] Training cost: 249.959, CrossEntropy=2.232, SmoothL1=1.078 [Epoch 143] Validation: aeroplane=0.7381145614476553 bicycle=0.8135143926697633 bird=0.7103644466315578 boat=0.6166175647407115 bottle=0.4885426305782034 bus=0.7948205085757775 car=0.8299665407734793 cat=0.8317771919579402 chair=0.4982328012212603 cow=0.7596464599365774 diningtable=0.6858012906587914 dog=0.809914329184102 horse=0.8122595235965839 motorbike=0.8115349958232299 person=0.7661550250696877 pottedplant=0.40594396894144985 sheep=0.7367340237119968 sofa=0.705913068092546 train=0.805975346492855 tvmonitor=0.6793219739648089 mAP=0.7150575322034489 [Epoch 144][Batch 99], Speed: 52.180 samples/sec, CrossEntropy=2.211, SmoothL1=1.085 [Epoch 144][Batch 199], Speed: 44.780 samples/sec, CrossEntropy=2.203, SmoothL1=1.061 [Epoch 144][Batch 299], Speed: 302.242 samples/sec, CrossEntropy=2.211, SmoothL1=1.071 [Epoch 144][Batch 399], Speed: 80.131 samples/sec, CrossEntropy=2.218, SmoothL1=1.077 [Epoch 144][Batch 499], Speed: 312.534 samples/sec, CrossEntropy=2.217, SmoothL1=1.072 [Epoch 144] Training cost: 249.471, CrossEntropy=2.217, SmoothL1=1.071 [Epoch 144] Validation: aeroplane=0.7582252815834525 bicycle=0.8161463263139647 bird=0.7122525744169983 boat=0.6322370695941479 bottle=0.4935298235416184 bus=0.800408098005011 car=0.8364763587548233 cat=0.8352582952568464 chair=0.5357676218142644 cow=0.7706720507869534 diningtable=0.6826393563926688 dog=0.8125885289718474 horse=0.8227033346676866 motorbike=0.8179174082817007 person=0.7645473086916598 pottedplant=0.4157090211866454 sheep=0.7257453843929834 sofa=0.7235232594286982 train=0.8054296226844917 tvmonitor=0.7162432290453292 mAP=0.7239009976905896 [Epoch 145][Batch 99], Speed: 118.658 samples/sec, CrossEntropy=2.204, SmoothL1=1.040 [Epoch 145][Batch 199], Speed: 30.770 samples/sec, CrossEntropy=2.217, SmoothL1=1.064 [Epoch 145][Batch 299], Speed: 39.660 samples/sec, CrossEntropy=2.217, SmoothL1=1.068 [Epoch 145][Batch 399], Speed: 79.481 samples/sec, CrossEntropy=2.213, SmoothL1=1.070 [Epoch 145][Batch 499], Speed: 278.282 samples/sec, CrossEntropy=2.217, SmoothL1=1.074 [Epoch 145] Training cost: 250.180, CrossEntropy=2.218, SmoothL1=1.073 [Epoch 145] Validation: aeroplane=0.7625637234239546 bicycle=0.8014800269081273 bird=0.685533408921784 boat=0.621004099712309 bottle=0.451379684144487 bus=0.7931428481428531 car=0.8274241419413054 cat=0.8377766324206309 chair=0.5275536203469628 cow=0.7484165793179839 diningtable=0.6894791715749743 dog=0.7847752148789869 horse=0.8075500095398802 motorbike=0.8042891566261664 person=0.749440847904843 pottedplant=0.4159649348580895 sheep=0.6977133406834055 sofa=0.7284631203201956 train=0.8020580226012546 tvmonitor=0.6919980130768749 mAP=0.7114003298672534 [Epoch 146][Batch 99], Speed: 55.169 samples/sec, CrossEntropy=2.233, SmoothL1=1.123 [Epoch 146][Batch 199], Speed: 29.998 samples/sec, CrossEntropy=2.216, SmoothL1=1.078 [Epoch 146][Batch 299], Speed: 114.643 samples/sec, CrossEntropy=2.220, SmoothL1=1.081 [Epoch 146][Batch 399], Speed: 70.803 samples/sec, CrossEntropy=2.220, SmoothL1=1.076 [Epoch 146][Batch 499], Speed: 59.373 samples/sec, CrossEntropy=2.224, SmoothL1=1.080 [Epoch 146] Training cost: 251.564, CrossEntropy=2.226, SmoothL1=1.082 [Epoch 146] Validation: aeroplane=0.7521912183769276 bicycle=0.8180032906764875 bird=0.6980953515828756 boat=0.6552774174796187 bottle=0.46220396922704754 bus=0.812134353166905 car=0.8352352998405569 cat=0.830324274326019 chair=0.5153537361899843 cow=0.777683067455156 diningtable=0.6975356713365547 dog=0.8038345387166302 horse=0.8279531826421223 motorbike=0.8043056366292854 person=0.7613515645586363 pottedplant=0.4280278610229686 sheep=0.7373998304606633 sofa=0.7398333400799649 train=0.8055261054381653 tvmonitor=0.7059396396364573 mAP=0.7234104674421513 [Epoch 147][Batch 99], Speed: 308.830 samples/sec, CrossEntropy=2.218, SmoothL1=1.062 [Epoch 147][Batch 199], Speed: 34.498 samples/sec, CrossEntropy=2.225, SmoothL1=1.080 [Epoch 147][Batch 299], Speed: 73.409 samples/sec, CrossEntropy=2.220, SmoothL1=1.077 [Epoch 147][Batch 399], Speed: 36.996 samples/sec, CrossEntropy=2.220, SmoothL1=1.075 [Epoch 147][Batch 499], Speed: 22.283 samples/sec, CrossEntropy=2.215, SmoothL1=1.074 [Epoch 147] Training cost: 250.594, CrossEntropy=2.217, SmoothL1=1.074 [Epoch 147] Validation: aeroplane=0.7419305997061224 bicycle=0.8301456216196132 bird=0.7194506545857632 boat=0.6455461901971948 bottle=0.45574455450537915 bus=0.8028506948042345 car=0.8420137163094663 cat=0.8244752791293712 chair=0.5353138872593329 cow=0.7347410636006296 diningtable=0.6925935355779728 dog=0.786969681100653 horse=0.8175648519019261 motorbike=0.8046756205993476 person=0.7652500976391877 pottedplant=0.4337332730936062 sheep=0.7431895155217768 sofa=0.7284072590854821 train=0.8092352564712959 tvmonitor=0.720506301739715 mAP=0.7217168827224036 [Epoch 148][Batch 99], Speed: 29.177 samples/sec, CrossEntropy=2.205, SmoothL1=1.066 [Epoch 148][Batch 199], Speed: 30.941 samples/sec, CrossEntropy=2.202, SmoothL1=1.064 [Epoch 148][Batch 299], Speed: 304.059 samples/sec, CrossEntropy=2.201, SmoothL1=1.059 [Epoch 148][Batch 399], Speed: 300.761 samples/sec, CrossEntropy=2.214, SmoothL1=1.075 [Epoch 148][Batch 499], Speed: 59.263 samples/sec, CrossEntropy=2.213, SmoothL1=1.072 [Epoch 148] Training cost: 253.257, CrossEntropy=2.211, SmoothL1=1.071 [Epoch 148] Validation: aeroplane=0.7767722719602965 bicycle=0.8189578492399747 bird=0.736492444122797 boat=0.6231767563167301 bottle=0.49337943268772083 bus=0.802704958970565 car=0.8335567371408472 cat=0.8110536027005464 chair=0.532335858422604 cow=0.7559137547184882 diningtable=0.6751244597425388 dog=0.8048938514994897 horse=0.8218102492329415 motorbike=0.8262184663310461 person=0.7704593527671731 pottedplant=0.42289044718486524 sheep=0.7306816190293338 sofa=0.7422922636478243 train=0.8214341683333533 tvmonitor=0.7175771520134542 mAP=0.7258862848031294 [Epoch 149][Batch 99], Speed: 51.631 samples/sec, CrossEntropy=2.214, SmoothL1=1.076 [Epoch 149][Batch 199], Speed: 314.606 samples/sec, CrossEntropy=2.213, SmoothL1=1.078 [Epoch 149][Batch 299], Speed: 40.533 samples/sec, CrossEntropy=2.216, SmoothL1=1.088 [Epoch 149][Batch 399], Speed: 25.773 samples/sec, CrossEntropy=2.214, SmoothL1=1.090 [Epoch 149][Batch 499], Speed: 66.353 samples/sec, CrossEntropy=2.213, SmoothL1=1.084 [Epoch 149] Training cost: 250.986, CrossEntropy=2.213, SmoothL1=1.084 [Epoch 149] Validation: aeroplane=0.7590249618003468 bicycle=0.794537325934787 bird=0.7121861440125443 boat=0.6144353143225875 bottle=0.48911739390216785 bus=0.774591270608096 car=0.8403975488420803 cat=0.8290967791967324 chair=0.526750154889374 cow=0.7618745848565956 diningtable=0.7107715698024657 dog=0.7971128668409939 horse=0.8310447233961034 motorbike=0.7932918871475761 person=0.7650119388928678 pottedplant=0.43993529226645456 sheep=0.7390484531014316 sofa=0.7277027188119458 train=0.7872701749825552 tvmonitor=0.7163412721286845 mAP=0.7204771187868195 [Epoch 150][Batch 99], Speed: 124.857 samples/sec, CrossEntropy=2.188, SmoothL1=1.066 [Epoch 150][Batch 199], Speed: 51.575 samples/sec, CrossEntropy=2.209, SmoothL1=1.072 [Epoch 150][Batch 299], Speed: 100.545 samples/sec, CrossEntropy=2.210, SmoothL1=1.084 [Epoch 150][Batch 399], Speed: 87.686 samples/sec, CrossEntropy=2.209, SmoothL1=1.078 [Epoch 150][Batch 499], Speed: 57.464 samples/sec, CrossEntropy=2.209, SmoothL1=1.078 [Epoch 150] Training cost: 251.990, CrossEntropy=2.209, SmoothL1=1.078 [Epoch 150] Validation: aeroplane=0.730069149812471 bicycle=0.822145149575851 bird=0.7116924622256243 boat=0.634271842469004 bottle=0.4575962398499784 bus=0.7998923046113815 car=0.8188652861120599 cat=0.8408786655125537 chair=0.5194761639679893 cow=0.7670415515425644 diningtable=0.6991464934627695 dog=0.7937503269444324 horse=0.8023450642059461 motorbike=0.8041890285267383 person=0.7534187078566779 pottedplant=0.43063935438420703 sheep=0.7128059784278963 sofa=0.7433027488296294 train=0.7912818206278275 tvmonitor=0.7195043683537964 mAP=0.7176156353649699 [Epoch 151][Batch 99], Speed: 49.365 samples/sec, CrossEntropy=2.218, SmoothL1=1.062 [Epoch 151][Batch 199], Speed: 291.467 samples/sec, CrossEntropy=2.200, SmoothL1=1.065 [Epoch 151][Batch 299], Speed: 60.009 samples/sec, CrossEntropy=2.199, SmoothL1=1.064 [Epoch 151][Batch 399], Speed: 169.121 samples/sec, CrossEntropy=2.211, SmoothL1=1.066 [Epoch 151][Batch 499], Speed: 311.902 samples/sec, CrossEntropy=2.212, SmoothL1=1.068 [Epoch 151] Training cost: 251.633, CrossEntropy=2.211, SmoothL1=1.066 [Epoch 151] Validation: aeroplane=0.7526472427520698 bicycle=0.8176021872426853 bird=0.723473540821643 boat=0.6567313757549315 bottle=0.4654353995094405 bus=0.8172545937587129 car=0.8467662756709777 cat=0.8433626610281973 chair=0.5463728392696954 cow=0.7630770956297551 diningtable=0.6926521418966117 dog=0.7932271066518845 horse=0.8236763767716988 motorbike=0.8088196733203036 person=0.7517836701865438 pottedplant=0.43682405696458415 sheep=0.7517471458365917 sofa=0.7562801983647524 train=0.8202242435542659 tvmonitor=0.7262975754053047 mAP=0.7297127700195325 [Epoch 152][Batch 99], Speed: 59.566 samples/sec, CrossEntropy=2.185, SmoothL1=1.040 [Epoch 152][Batch 199], Speed: 33.695 samples/sec, CrossEntropy=2.177, SmoothL1=1.047 [Epoch 152][Batch 299], Speed: 305.875 samples/sec, CrossEntropy=2.199, SmoothL1=1.063 [Epoch 152][Batch 399], Speed: 52.856 samples/sec, CrossEntropy=2.204, SmoothL1=1.068 [Epoch 152][Batch 499], Speed: 72.286 samples/sec, CrossEntropy=2.206, SmoothL1=1.066 [Epoch 152] Training cost: 248.494, CrossEntropy=2.208, SmoothL1=1.067 [Epoch 152] Validation: aeroplane=0.7704797527297934 bicycle=0.8124492220497112 bird=0.7167253861183511 boat=0.6384170054357379 bottle=0.47103268821715205 bus=0.8010445114441939 car=0.839223443362327 cat=0.8143787795973034 chair=0.550439645606878 cow=0.7872640559721904 diningtable=0.7127611825996301 dog=0.7734922238450663 horse=0.8168088061950208 motorbike=0.8081770868525597 person=0.7643212917284316 pottedplant=0.43578123181765077 sheep=0.7427083885242566 sofa=0.7661544941206304 train=0.8244001603394256 tvmonitor=0.7373715454981967 mAP=0.7291715451027254 [Epoch 153][Batch 99], Speed: 27.905 samples/sec, CrossEntropy=2.172, SmoothL1=1.050 [Epoch 153][Batch 199], Speed: 116.567 samples/sec, CrossEntropy=2.188, SmoothL1=1.065 [Epoch 153][Batch 299], Speed: 51.885 samples/sec, CrossEntropy=2.193, SmoothL1=1.071 [Epoch 153][Batch 399], Speed: 34.124 samples/sec, CrossEntropy=2.205, SmoothL1=1.075 [Epoch 153][Batch 499], Speed: 69.787 samples/sec, CrossEntropy=2.200, SmoothL1=1.070 [Epoch 153] Training cost: 249.557, CrossEntropy=2.199, SmoothL1=1.067 [Epoch 153] Validation: aeroplane=0.7191988124314374 bicycle=0.8251158850010201 bird=0.7211842039905513 boat=0.6199792333140439 bottle=0.4617812862060227 bus=0.7857185754917113 car=0.8444709281550021 cat=0.8357463207544653 chair=0.5346754011194967 cow=0.7626155704479511 diningtable=0.7046724208255689 dog=0.7984672282224587 horse=0.8082717141715438 motorbike=0.7970198525968362 person=0.7583788698553234 pottedplant=0.43207881869544096 sheep=0.7232266118256653 sofa=0.7309752276454217 train=0.8060243064012516 tvmonitor=0.7099515252890818 mAP=0.7189776396220148 [Epoch 154][Batch 99], Speed: 104.400 samples/sec, CrossEntropy=2.193, SmoothL1=1.038 [Epoch 154][Batch 199], Speed: 38.368 samples/sec, CrossEntropy=2.206, SmoothL1=1.054 [Epoch 154][Batch 299], Speed: 64.491 samples/sec, CrossEntropy=2.199, SmoothL1=1.062 [Epoch 154][Batch 399], Speed: 237.812 samples/sec, CrossEntropy=2.200, SmoothL1=1.069 [Epoch 154][Batch 499], Speed: 88.862 samples/sec, CrossEntropy=2.197, SmoothL1=1.066 [Epoch 154] Training cost: 248.725, CrossEntropy=2.195, SmoothL1=1.063 [Epoch 154] Validation: aeroplane=0.755468346531098 bicycle=0.8134868650505483 bird=0.709405515311942 boat=0.6434785725788765 bottle=0.4568174743330336 bus=0.8005739841057075 car=0.8380763770108685 cat=0.8243690700407768 chair=0.5257639507342048 cow=0.7390669096343125 diningtable=0.6987335856646241 dog=0.8014247812745673 horse=0.806271973311368 motorbike=0.8058872815173534 person=0.7581439077464236 pottedplant=0.4557908312251593 sheep=0.7445462125989922 sofa=0.7495018374132448 train=0.8109147412945369 tvmonitor=0.7070175586024389 mAP=0.7222369887990039 [Epoch 155][Batch 99], Speed: 38.648 samples/sec, CrossEntropy=2.183, SmoothL1=1.050 [Epoch 155][Batch 199], Speed: 64.801 samples/sec, CrossEntropy=2.183, SmoothL1=1.048 [Epoch 155][Batch 299], Speed: 116.661 samples/sec, CrossEntropy=2.181, SmoothL1=1.045 [Epoch 155][Batch 399], Speed: 123.936 samples/sec, CrossEntropy=2.187, SmoothL1=1.045 [Epoch 155][Batch 499], Speed: 71.839 samples/sec, CrossEntropy=2.189, SmoothL1=1.050 [Epoch 155] Training cost: 247.032, CrossEntropy=2.190, SmoothL1=1.053 [Epoch 155] Validation: aeroplane=0.7225036313729816 bicycle=0.8009599100349176 bird=0.728793314113412 boat=0.6083945154208728 bottle=0.467326812309945 bus=0.8066025201947685 car=0.8351852245030076 cat=0.8230296932107607 chair=0.5318818955610475 cow=0.7760955043565106 diningtable=0.6879594869433099 dog=0.7912718915916066 horse=0.8167723498280972 motorbike=0.817746729030179 person=0.7670100306866546 pottedplant=0.4090211002556606 sheep=0.74394665942363 sofa=0.7588710367080758 train=0.7957333869912852 tvmonitor=0.723618814149926 mAP=0.7206362253343325 [Epoch 156][Batch 99], Speed: 86.404 samples/sec, CrossEntropy=2.187, SmoothL1=1.045 [Epoch 156][Batch 199], Speed: 33.534 samples/sec, CrossEntropy=2.183, SmoothL1=1.039 [Epoch 156][Batch 299], Speed: 41.332 samples/sec, CrossEntropy=2.175, SmoothL1=1.035 [Epoch 156][Batch 399], Speed: 48.110 samples/sec, CrossEntropy=2.187, SmoothL1=1.044 [Epoch 156][Batch 499], Speed: 25.503 samples/sec, CrossEntropy=2.194, SmoothL1=1.053 [Epoch 156] Training cost: 250.967, CrossEntropy=2.194, SmoothL1=1.052 [Epoch 156] Validation: aeroplane=0.7691388705188106 bicycle=0.8122810035179916 bird=0.7170127370006589 boat=0.6548349383230638 bottle=0.4548477043261134 bus=0.7950310197303536 car=0.8451867405964251 cat=0.8254369110602661 chair=0.5518106146907164 cow=0.7670938777595658 diningtable=0.6786755665113171 dog=0.8053427918479634 horse=0.8205859048424811 motorbike=0.7918826590242453 person=0.7641846856654517 pottedplant=0.42354308934478374 sheep=0.7529677392452293 sofa=0.7349139428439547 train=0.8124570306253033 tvmonitor=0.7236003600264838 mAP=0.725041409375059 [Epoch 157][Batch 99], Speed: 259.940 samples/sec, CrossEntropy=2.165, SmoothL1=1.040 [Epoch 157][Batch 199], Speed: 30.294 samples/sec, CrossEntropy=2.180, SmoothL1=1.058 [Epoch 157][Batch 299], Speed: 38.988 samples/sec, CrossEntropy=2.180, SmoothL1=1.054 [Epoch 157][Batch 399], Speed: 313.268 samples/sec, CrossEntropy=2.180, SmoothL1=1.056 [Epoch 157][Batch 499], Speed: 232.952 samples/sec, CrossEntropy=2.183, SmoothL1=1.061 [Epoch 157] Training cost: 250.736, CrossEntropy=2.186, SmoothL1=1.062 [Epoch 157] Validation: aeroplane=0.7463128807449845 bicycle=0.7926222125359035 bird=0.7142317814684973 boat=0.6038433590383832 bottle=0.47943900129333644 bus=0.7993733689299779 car=0.8380602066539589 cat=0.8309747651559897 chair=0.521989518342613 cow=0.7747211926841031 diningtable=0.69636225062394 dog=0.7889452552312864 horse=0.795495421050157 motorbike=0.8037396017264387 person=0.76254519899836 pottedplant=0.4221046607319254 sheep=0.7540192536829671 sofa=0.7488848842988599 train=0.8093814064646604 tvmonitor=0.7246991268935058 mAP=0.7203872673274925 [Epoch 158][Batch 99], Speed: 29.094 samples/sec, CrossEntropy=2.188, SmoothL1=1.019 [Epoch 158][Batch 199], Speed: 308.728 samples/sec, CrossEntropy=2.198, SmoothL1=1.032 [Epoch 158][Batch 299], Speed: 194.855 samples/sec, CrossEntropy=2.190, SmoothL1=1.047 [Epoch 158][Batch 399], Speed: 99.395 samples/sec, CrossEntropy=2.192, SmoothL1=1.050 [Epoch 158][Batch 499], Speed: 80.097 samples/sec, CrossEntropy=2.191, SmoothL1=1.050 [Epoch 158] Training cost: 250.104, CrossEntropy=2.192, SmoothL1=1.050 [Epoch 158] Validation: aeroplane=0.7739325311424071 bicycle=0.8314056994591429 bird=0.70752830341189 boat=0.6364236545681587 bottle=0.47387815590502436 bus=0.8071000229817836 car=0.8437300759772257 cat=0.8394348186790822 chair=0.5307724901979961 cow=0.7624486717234916 diningtable=0.7128349741081187 dog=0.8009777204318094 horse=0.8122623013187061 motorbike=0.8078463436543295 person=0.7553337986061036 pottedplant=0.45669808639219034 sheep=0.7290987436151791 sofa=0.7692917108133439 train=0.8207885380370783 tvmonitor=0.7170250211477801 mAP=0.7294405831085421 [Epoch 159][Batch 99], Speed: 89.128 samples/sec, CrossEntropy=2.167, SmoothL1=1.049 [Epoch 159][Batch 199], Speed: 297.319 samples/sec, CrossEntropy=2.193, SmoothL1=1.072 [Epoch 159][Batch 299], Speed: 317.747 samples/sec, CrossEntropy=2.193, SmoothL1=1.060 [Epoch 159][Batch 399], Speed: 39.665 samples/sec, CrossEntropy=2.187, SmoothL1=1.052 [Epoch 159][Batch 499], Speed: 96.136 samples/sec, CrossEntropy=2.187, SmoothL1=1.051 [Epoch 159] Training cost: 250.350, CrossEntropy=2.187, SmoothL1=1.050 [Epoch 159] Validation: aeroplane=0.6984180817813207 bicycle=0.8026551327293076 bird=0.7051991234721381 boat=0.6225100390369972 bottle=0.44623169083223363 bus=0.8126730936106947 car=0.8373868663080152 cat=0.8332039154357951 chair=0.5266285547804068 cow=0.7791903244264129 diningtable=0.6994185698444294 dog=0.8077392191133564 horse=0.8181527911857791 motorbike=0.8038267140026992 person=0.758467408882893 pottedplant=0.44545686588761124 sheep=0.7580639101316559 sofa=0.7370923196633015 train=0.8149416323494701 tvmonitor=0.7170482964147901 mAP=0.7212152274944653 [Epoch 160] Set learning rate to 0.0001 [Epoch 160][Batch 99], Speed: 303.762 samples/sec, CrossEntropy=2.181, SmoothL1=1.072 [Epoch 160][Batch 199], Speed: 286.404 samples/sec, CrossEntropy=2.141, SmoothL1=1.046 [Epoch 160][Batch 299], Speed: 309.022 samples/sec, CrossEntropy=2.130, SmoothL1=1.034 [Epoch 160][Batch 399], Speed: 28.938 samples/sec, CrossEntropy=2.124, SmoothL1=1.028 [Epoch 160][Batch 499], Speed: 33.600 samples/sec, CrossEntropy=2.113, SmoothL1=1.023 [Epoch 160] Training cost: 249.657, CrossEntropy=2.110, SmoothL1=1.020 [Epoch 160] Validation: aeroplane=0.7370183577874204 bicycle=0.834387708842911 bird=0.7473166140198255 boat=0.662375065400848 bottle=0.48740029630638354 bus=0.8122474769950684 car=0.8448320630913597 cat=0.8489755653663189 chair=0.5550256359080825 cow=0.7877959989711875 diningtable=0.7093812246582272 dog=0.8220183920012171 horse=0.8329112683758274 motorbike=0.8220913869712974 person=0.7779466045572853 pottedplant=0.4527835766647214 sheep=0.7592010314011853 sofa=0.7730518805993889 train=0.8258817139321281 tvmonitor=0.7400113999799024 mAP=0.7416326630915293 [Epoch 161][Batch 99], Speed: 39.337 samples/sec, CrossEntropy=2.067, SmoothL1=0.992 [Epoch 161][Batch 199], Speed: 50.998 samples/sec, CrossEntropy=2.063, SmoothL1=0.995 [Epoch 161][Batch 299], Speed: 84.945 samples/sec, CrossEntropy=2.076, SmoothL1=1.001 [Epoch 161][Batch 399], Speed: 58.784 samples/sec, CrossEntropy=2.078, SmoothL1=0.999 [Epoch 161][Batch 499], Speed: 182.205 samples/sec, CrossEntropy=2.076, SmoothL1=1.003 [Epoch 161] Training cost: 252.543, CrossEntropy=2.076, SmoothL1=1.003 [Epoch 161] Validation: aeroplane=0.7274668040701797 bicycle=0.8437515201684853 bird=0.7439559446099503 boat=0.6545373878459209 bottle=0.48490541490957784 bus=0.8143101327152446 car=0.842487135771305 cat=0.8431798677288963 chair=0.5546952834707177 cow=0.7850757914452011 diningtable=0.7141427344373583 dog=0.8248173488196442 horse=0.8275554716421022 motorbike=0.8197643926927748 person=0.776497045466568 pottedplant=0.44847062617458033 sheep=0.7569409755407996 sofa=0.7731945350366007 train=0.8247106778991155 tvmonitor=0.7417545871105639 mAP=0.7401106838777792 [Epoch 162][Batch 99], Speed: 23.767 samples/sec, CrossEntropy=2.076, SmoothL1=0.982 [Epoch 162][Batch 199], Speed: 74.277 samples/sec, CrossEntropy=2.085, SmoothL1=0.998 [Epoch 162][Batch 299], Speed: 87.587 samples/sec, CrossEntropy=2.080, SmoothL1=0.990 [Epoch 162][Batch 399], Speed: 203.177 samples/sec, CrossEntropy=2.075, SmoothL1=0.987 [Epoch 162][Batch 499], Speed: 207.516 samples/sec, CrossEntropy=2.073, SmoothL1=0.993 [Epoch 162] Training cost: 248.984, CrossEntropy=2.073, SmoothL1=0.993 [Epoch 162] Validation: aeroplane=0.7287089095964846 bicycle=0.8440686547517277 bird=0.7468697069886671 boat=0.6591479774357891 bottle=0.49555808920489425 bus=0.8108904253288816 car=0.8497331375850743 cat=0.8446837278533438 chair=0.5511832635716437 cow=0.8055204493755933 diningtable=0.7220882987689081 dog=0.827663654497874 horse=0.8358004495208688 motorbike=0.8189706394584804 person=0.7767547525179808 pottedplant=0.4544613399176952 sheep=0.772340126167324 sofa=0.7708795734912414 train=0.8314403329238838 tvmonitor=0.7481724719718204 mAP=0.7447467990464087 [Epoch 163][Batch 99], Speed: 288.177 samples/sec, CrossEntropy=2.050, SmoothL1=0.981 [Epoch 163][Batch 199], Speed: 50.151 samples/sec, CrossEntropy=2.044, SmoothL1=0.986 [Epoch 163][Batch 299], Speed: 109.099 samples/sec, CrossEntropy=2.043, SmoothL1=0.977 [Epoch 163][Batch 399], Speed: 48.177 samples/sec, CrossEntropy=2.048, SmoothL1=0.986 [Epoch 163][Batch 499], Speed: 25.346 samples/sec, CrossEntropy=2.047, SmoothL1=0.990 [Epoch 163] Training cost: 250.099, CrossEntropy=2.046, SmoothL1=0.989 [Epoch 163] Validation: aeroplane=0.7462920576089098 bicycle=0.8359354035993849 bird=0.7423966334121563 boat=0.6732332212049227 bottle=0.49201897108314097 bus=0.8188799057058405 car=0.8454541425664266 cat=0.8511014814623635 chair=0.5588321546439036 cow=0.8047920442839042 diningtable=0.7165353069015286 dog=0.8251431168824342 horse=0.8172062288064013 motorbike=0.8228529319517673 person=0.7777629505416709 pottedplant=0.46042175766961607 sheep=0.7777317174638628 sofa=0.781530205364192 train=0.8250616144456699 tvmonitor=0.7431794569396487 mAP=0.7458180651268872 [Epoch 164][Batch 99], Speed: 138.405 samples/sec, CrossEntropy=2.015, SmoothL1=0.955 [Epoch 164][Batch 199], Speed: 318.715 samples/sec, CrossEntropy=2.036, SmoothL1=0.974 [Epoch 164][Batch 299], Speed: 77.531 samples/sec, CrossEntropy=2.037, SmoothL1=0.967 [Epoch 164][Batch 399], Speed: 174.701 samples/sec, CrossEntropy=2.042, SmoothL1=0.976 [Epoch 164][Batch 499], Speed: 89.889 samples/sec, CrossEntropy=2.047, SmoothL1=0.981 [Epoch 164] Training cost: 250.170, CrossEntropy=2.045, SmoothL1=0.981 [Epoch 164] Validation: aeroplane=0.7615923747394463 bicycle=0.8438549156927588 bird=0.748363216242683 boat=0.6599394244533877 bottle=0.4989778698819598 bus=0.81701487364519 car=0.844411991803903 cat=0.8417372169636969 chair=0.5501482347466781 cow=0.8019342485692416 diningtable=0.713602437150468 dog=0.8241683536021694 horse=0.8372720526768458 motorbike=0.8134678900426984 person=0.7772328971371456 pottedplant=0.4653292023592783 sheep=0.7764064957637639 sofa=0.7853551518213578 train=0.8232688641095639 tvmonitor=0.7520410694242109 mAP=0.7468059390413223 [Epoch 165][Batch 99], Speed: 171.230 samples/sec, CrossEntropy=2.030, SmoothL1=0.970 [Epoch 165][Batch 199], Speed: 25.150 samples/sec, CrossEntropy=2.022, SmoothL1=0.969 [Epoch 165][Batch 299], Speed: 60.239 samples/sec, CrossEntropy=2.032, SmoothL1=0.981 [Epoch 165][Batch 399], Speed: 66.058 samples/sec, CrossEntropy=2.029, SmoothL1=0.982 [Epoch 165][Batch 499], Speed: 31.990 samples/sec, CrossEntropy=2.027, SmoothL1=0.977 [Epoch 165] Training cost: 249.918, CrossEntropy=2.026, SmoothL1=0.975 [Epoch 165] Validation: aeroplane=0.7586970197907869 bicycle=0.8383730356869944 bird=0.7426742999278318 boat=0.6773610572012676 bottle=0.48733956854649296 bus=0.8079944005006279 car=0.8426698960919589 cat=0.8532704533762091 chair=0.5573335335175663 cow=0.7985583905934587 diningtable=0.7117747284231689 dog=0.8228620012616027 horse=0.831928823565913 motorbike=0.8224035684918977 person=0.775456251741575 pottedplant=0.4607345623423896 sheep=0.7746179696514559 sofa=0.771387741220193 train=0.8392124304858843 tvmonitor=0.7487211250773194 mAP=0.7461685428747298 [Epoch 166][Batch 99], Speed: 101.081 samples/sec, CrossEntropy=2.057, SmoothL1=0.993 [Epoch 166][Batch 199], Speed: 309.421 samples/sec, CrossEntropy=2.043, SmoothL1=0.983 [Epoch 166][Batch 299], Speed: 138.837 samples/sec, CrossEntropy=2.048, SmoothL1=0.980 [Epoch 166][Batch 399], Speed: 98.507 samples/sec, CrossEntropy=2.039, SmoothL1=0.977 [Epoch 166][Batch 499], Speed: 29.111 samples/sec, CrossEntropy=2.036, SmoothL1=0.974 [Epoch 166] Training cost: 247.388, CrossEntropy=2.037, SmoothL1=0.975 [Epoch 166] Validation: aeroplane=0.7573273405151686 bicycle=0.8379609615871418 bird=0.7508937105577929 boat=0.6688424966304446 bottle=0.49807301843334434 bus=0.815863126539692 car=0.8429221661935652 cat=0.8490884570539698 chair=0.5562678295618859 cow=0.7934269851044942 diningtable=0.7240931841845301 dog=0.8214478313757149 horse=0.8351580103039372 motorbike=0.8240837330976968 person=0.779096903217429 pottedplant=0.47219662075989993 sheep=0.7868579546013834 sofa=0.7861117804276544 train=0.8337080691130345 tvmonitor=0.7435993303816085 mAP=0.7488509754820194 [Epoch 167][Batch 99], Speed: 24.866 samples/sec, CrossEntropy=2.036, SmoothL1=0.959 [Epoch 167][Batch 199], Speed: 66.320 samples/sec, CrossEntropy=2.034, SmoothL1=0.970 [Epoch 167][Batch 299], Speed: 308.609 samples/sec, CrossEntropy=2.037, SmoothL1=0.979 [Epoch 167][Batch 399], Speed: 57.022 samples/sec, CrossEntropy=2.030, SmoothL1=0.975 [Epoch 167][Batch 499], Speed: 48.164 samples/sec, CrossEntropy=2.032, SmoothL1=0.984 [Epoch 167] Training cost: 249.727, CrossEntropy=2.033, SmoothL1=0.983 [Epoch 167] Validation: aeroplane=0.7654326339012202 bicycle=0.8435438732731245 bird=0.7531209202258281 boat=0.6741749737150508 bottle=0.5017321400887542 bus=0.8122712900414679 car=0.8436376563809106 cat=0.8483623878405897 chair=0.5663675514910074 cow=0.7929290180410261 diningtable=0.7174233842524013 dog=0.8266559373229152 horse=0.8410866109468902 motorbike=0.8249208091975911 person=0.7771297649506893 pottedplant=0.46325272640350224 sheep=0.7775073625056949 sofa=0.7850793263058058 train=0.8311200740070239 tvmonitor=0.7467059156436149 mAP=0.7496227178267554 [Epoch 168][Batch 99], Speed: 257.843 samples/sec, CrossEntropy=2.016, SmoothL1=0.959 [Epoch 168][Batch 199], Speed: 312.084 samples/sec, CrossEntropy=2.019, SmoothL1=0.959 [Epoch 168][Batch 299], Speed: 31.124 samples/sec, CrossEntropy=2.030, SmoothL1=0.972 [Epoch 168][Batch 399], Speed: 50.446 samples/sec, CrossEntropy=2.030, SmoothL1=0.972 [Epoch 168][Batch 499], Speed: 23.530 samples/sec, CrossEntropy=2.025, SmoothL1=0.971 [Epoch 168] Training cost: 250.999, CrossEntropy=2.024, SmoothL1=0.971 [Epoch 168] Validation: aeroplane=0.768459826128512 bicycle=0.8352325345330552 bird=0.7482325222284637 boat=0.6762446977501296 bottle=0.4942194978968453 bus=0.8145263165769455 car=0.8477622233117188 cat=0.8453661418503133 chair=0.557942471122575 cow=0.8030811480642944 diningtable=0.7289350342387229 dog=0.8303228394605847 horse=0.8385530408290516 motorbike=0.8196147565555363 person=0.7799100283613911 pottedplant=0.4555030794937616 sheep=0.7756444390489228 sofa=0.774553498006296 train=0.8303082882826115 tvmonitor=0.7472992312533343 mAP=0.7485855807496533 [Epoch 169][Batch 99], Speed: 99.881 samples/sec, CrossEntropy=2.031, SmoothL1=0.985 [Epoch 169][Batch 199], Speed: 41.007 samples/sec, CrossEntropy=2.037, SmoothL1=0.976 [Epoch 169][Batch 299], Speed: 44.471 samples/sec, CrossEntropy=2.029, SmoothL1=0.973 [Epoch 169][Batch 399], Speed: 308.266 samples/sec, CrossEntropy=2.027, SmoothL1=0.976 [Epoch 169][Batch 499], Speed: 38.674 samples/sec, CrossEntropy=2.023, SmoothL1=0.974 [Epoch 169] Training cost: 251.205, CrossEntropy=2.024, SmoothL1=0.973 [Epoch 169] Validation: aeroplane=0.7678915546451148 bicycle=0.8481539757550085 bird=0.7425713181563115 boat=0.66592609948231 bottle=0.4928882011048336 bus=0.816803439041993 car=0.8449619268345786 cat=0.8523367397988281 chair=0.5650961408792269 cow=0.7832336433703936 diningtable=0.7050111961909056 dog=0.8270467411232821 horse=0.8357837342725439 motorbike=0.8171374993052298 person=0.7785890104359953 pottedplant=0.4620320620203964 sheep=0.7748435294256177 sofa=0.7834105089641797 train=0.833371654561271 tvmonitor=0.7441388877624561 mAP=0.7470613931565238 [Epoch 170][Batch 99], Speed: 303.723 samples/sec, CrossEntropy=2.026, SmoothL1=0.986 [Epoch 170][Batch 199], Speed: 41.071 samples/sec, CrossEntropy=2.034, SmoothL1=0.992 [Epoch 170][Batch 299], Speed: 30.809 samples/sec, CrossEntropy=2.021, SmoothL1=0.977 [Epoch 170][Batch 399], Speed: 51.387 samples/sec, CrossEntropy=2.024, SmoothL1=0.973 [Epoch 170][Batch 499], Speed: 98.639 samples/sec, CrossEntropy=2.025, SmoothL1=0.972 [Epoch 170] Training cost: 249.110, CrossEntropy=2.024, SmoothL1=0.971 [Epoch 170] Validation: aeroplane=0.7595916228971071 bicycle=0.8395016776359473 bird=0.7543467869999896 boat=0.6585523617862674 bottle=0.5057314499507993 bus=0.8196926260111188 car=0.8442501287551882 cat=0.8456171497423395 chair=0.5618828838285687 cow=0.8056388630522265 diningtable=0.7112003143749374 dog=0.8209398288597068 horse=0.8366246171044923 motorbike=0.817709075404759 person=0.7738078985412133 pottedplant=0.4682097454640659 sheep=0.7704721448593488 sofa=0.7726498973868372 train=0.8249343624199861 tvmonitor=0.7463116931196635 mAP=0.7468832564097282 [Epoch 171][Batch 99], Speed: 258.283 samples/sec, CrossEntropy=1.997, SmoothL1=0.980 [Epoch 171][Batch 199], Speed: 54.023 samples/sec, CrossEntropy=1.981, SmoothL1=0.950 [Epoch 171][Batch 299], Speed: 80.435 samples/sec, CrossEntropy=1.986, SmoothL1=0.955 [Epoch 171][Batch 399], Speed: 60.478 samples/sec, CrossEntropy=1.992, SmoothL1=0.956 [Epoch 171][Batch 499], Speed: 307.952 samples/sec, CrossEntropy=1.999, SmoothL1=0.962 [Epoch 171] Training cost: 250.664, CrossEntropy=1.997, SmoothL1=0.962 [Epoch 171] Validation: aeroplane=0.7629451830207012 bicycle=0.841540436664299 bird=0.7476518520991516 boat=0.6788047936431993 bottle=0.5060542071644368 bus=0.8186168462772648 car=0.8471434393813305 cat=0.8455946101857903 chair=0.5622446318463659 cow=0.801155540427492 diningtable=0.7201813073187011 dog=0.8265726799675656 horse=0.83124253010902 motorbike=0.824764696544748 person=0.7784441032572387 pottedplant=0.46849691588597275 sheep=0.7771127977392013 sofa=0.7783796462221797 train=0.8325670135030905 tvmonitor=0.7480025445621064 mAP=0.7498757887909928 [Epoch 172][Batch 99], Speed: 103.673 samples/sec, CrossEntropy=2.014, SmoothL1=0.959 [Epoch 172][Batch 199], Speed: 155.080 samples/sec, CrossEntropy=2.004, SmoothL1=0.956 [Epoch 172][Batch 299], Speed: 276.595 samples/sec, CrossEntropy=1.999, SmoothL1=0.947 [Epoch 172][Batch 399], Speed: 49.137 samples/sec, CrossEntropy=1.999, SmoothL1=0.948 [Epoch 172][Batch 499], Speed: 95.027 samples/sec, CrossEntropy=2.005, SmoothL1=0.953 [Epoch 172] Training cost: 248.768, CrossEntropy=2.007, SmoothL1=0.955 [Epoch 172] Validation: aeroplane=0.7479731083402027 bicycle=0.8420357033263709 bird=0.7511703042379086 boat=0.6665256810025458 bottle=0.5028799528885489 bus=0.8141308090808559 car=0.8464571738293898 cat=0.8427990063562947 chair=0.5663975450400963 cow=0.7887065175488713 diningtable=0.7154790166417722 dog=0.8327766767464339 horse=0.8374346520625373 motorbike=0.8298709262892324 person=0.7763846173584162 pottedplant=0.47463804091924894 sheep=0.7655870504427317 sofa=0.774980994847306 train=0.8319214109569619 tvmonitor=0.7501598376787231 mAP=0.7479154512797225 [Epoch 173][Batch 99], Speed: 44.670 samples/sec, CrossEntropy=2.006, SmoothL1=0.968 [Epoch 173][Batch 199], Speed: 77.851 samples/sec, CrossEntropy=2.011, SmoothL1=0.963 [Epoch 173][Batch 299], Speed: 67.001 samples/sec, CrossEntropy=2.012, SmoothL1=0.972 [Epoch 173][Batch 399], Speed: 48.920 samples/sec, CrossEntropy=2.017, SmoothL1=0.974 [Epoch 173][Batch 499], Speed: 38.475 samples/sec, CrossEntropy=2.010, SmoothL1=0.971 [Epoch 173] Training cost: 249.793, CrossEntropy=2.010, SmoothL1=0.971 [Epoch 173] Validation: aeroplane=0.7648692947538697 bicycle=0.8460905544890769 bird=0.7469434606835507 boat=0.6761180542013111 bottle=0.5141266161560764 bus=0.8160695439078308 car=0.8471283580482408 cat=0.8448730747352386 chair=0.5744895150811169 cow=0.7964986191068298 diningtable=0.7275639631225989 dog=0.8296585499727266 horse=0.8411621646204771 motorbike=0.8249699871064156 person=0.7768517784439188 pottedplant=0.4709110055138517 sheep=0.7787775232116974 sofa=0.7800791914455898 train=0.8326992652957724 tvmonitor=0.7471235581215405 mAP=0.7518502039008865 [Epoch 174][Batch 99], Speed: 69.132 samples/sec, CrossEntropy=2.022, SmoothL1=0.977 [Epoch 174][Batch 199], Speed: 307.527 samples/sec, CrossEntropy=2.010, SmoothL1=0.963 [Epoch 174][Batch 299], Speed: 53.731 samples/sec, CrossEntropy=2.000, SmoothL1=0.962 [Epoch 174][Batch 399], Speed: 68.044 samples/sec, CrossEntropy=2.001, SmoothL1=0.960 [Epoch 174][Batch 499], Speed: 303.609 samples/sec, CrossEntropy=2.000, SmoothL1=0.960 [Epoch 174] Training cost: 247.790, CrossEntropy=2.001, SmoothL1=0.960 [Epoch 174] Validation: aeroplane=0.7686277746286947 bicycle=0.8326727022615273 bird=0.7534466108165062 boat=0.6670621198445768 bottle=0.5115726819607451 bus=0.8176648325554732 car=0.850048676593575 cat=0.847430106034186 chair=0.5583403629452233 cow=0.7874769985096178 diningtable=0.7226370864294379 dog=0.8291325425856524 horse=0.8399119186602676 motorbike=0.8142815490727019 person=0.7781494717137648 pottedplant=0.46620851146844106 sheep=0.7712957956765802 sofa=0.7782764284135559 train=0.8371116906702284 tvmonitor=0.7521692470620709 mAP=0.7491758553951413 [Epoch 175][Batch 99], Speed: 300.905 samples/sec, CrossEntropy=2.038, SmoothL1=0.978 [Epoch 175][Batch 199], Speed: 27.516 samples/sec, CrossEntropy=2.035, SmoothL1=0.976 [Epoch 175][Batch 299], Speed: 317.275 samples/sec, CrossEntropy=2.016, SmoothL1=0.972 [Epoch 175][Batch 399], Speed: 108.098 samples/sec, CrossEntropy=2.018, SmoothL1=0.973 [Epoch 175][Batch 499], Speed: 84.365 samples/sec, CrossEntropy=2.020, SmoothL1=0.976 [Epoch 175] Training cost: 249.956, CrossEntropy=2.016, SmoothL1=0.972 [Epoch 175] Validation: aeroplane=0.7542556602957251 bicycle=0.8366816346165786 bird=0.7470855079988716 boat=0.6680038369182009 bottle=0.5068668654215265 bus=0.8249058139278372 car=0.8427377773322177 cat=0.8387057543258295 chair=0.5660833010029842 cow=0.8037611441605466 diningtable=0.7166481348643808 dog=0.8297556158840769 horse=0.834241392375077 motorbike=0.8252191489243919 person=0.7777744431088074 pottedplant=0.4781433811332376 sheep=0.7714848418378988 sofa=0.7796011743095176 train=0.8315516439618907 tvmonitor=0.7517284753490435 mAP=0.7492617773874319 [Epoch 176][Batch 99], Speed: 40.176 samples/sec, CrossEntropy=1.978, SmoothL1=0.934 [Epoch 176][Batch 199], Speed: 60.752 samples/sec, CrossEntropy=1.987, SmoothL1=0.950 [Epoch 176][Batch 299], Speed: 303.905 samples/sec, CrossEntropy=2.000, SmoothL1=0.955 [Epoch 176][Batch 399], Speed: 163.556 samples/sec, CrossEntropy=1.996, SmoothL1=0.953 [Epoch 176][Batch 499], Speed: 206.332 samples/sec, CrossEntropy=2.002, SmoothL1=0.957 [Epoch 176] Training cost: 251.282, CrossEntropy=2.004, SmoothL1=0.957 [Epoch 176] Validation: aeroplane=0.7569324811406155 bicycle=0.8502307348583281 bird=0.7465898410542798 boat=0.675139050172893 bottle=0.5065213566669747 bus=0.8260997256832339 car=0.844844023034057 cat=0.8382333095768081 chair=0.5573861892429407 cow=0.7843252852506538 diningtable=0.7142947964900771 dog=0.8312195883003266 horse=0.8457647898840359 motorbike=0.8234508646409585 person=0.7781953021652285 pottedplant=0.4571184388678635 sheep=0.7762056250242968 sofa=0.7823981367392381 train=0.8329917083359707 tvmonitor=0.7492609302115537 mAP=0.7488601088670166 [Epoch 177][Batch 99], Speed: 31.760 samples/sec, CrossEntropy=1.995, SmoothL1=0.939 [Epoch 177][Batch 199], Speed: 82.608 samples/sec, CrossEntropy=1.996, SmoothL1=0.963 [Epoch 177][Batch 299], Speed: 169.573 samples/sec, CrossEntropy=1.991, SmoothL1=0.961 [Epoch 177][Batch 399], Speed: 21.366 samples/sec, CrossEntropy=1.984, SmoothL1=0.956 [Epoch 177][Batch 499], Speed: 25.892 samples/sec, CrossEntropy=1.989, SmoothL1=0.960 [Epoch 177] Training cost: 253.071, CrossEntropy=1.989, SmoothL1=0.960 [Epoch 177] Validation: aeroplane=0.7639183916059178 bicycle=0.8489653835711378 bird=0.7544575732901851 boat=0.67531629784725 bottle=0.519459683105522 bus=0.8100825782042145 car=0.8499039239835211 cat=0.8453691071798439 chair=0.5641911709987795 cow=0.7803583694888042 diningtable=0.7329542717482261 dog=0.8297870419369913 horse=0.8341351845064331 motorbike=0.830844841742607 person=0.7772783374333617 pottedplant=0.471895760305222 sheep=0.7780865071849321 sofa=0.7835583284590357 train=0.8313430846500778 tvmonitor=0.7494785038774312 mAP=0.7515692170559747 [Epoch 178][Batch 99], Speed: 114.175 samples/sec, CrossEntropy=1.978, SmoothL1=0.943 [Epoch 178][Batch 199], Speed: 175.098 samples/sec, CrossEntropy=1.993, SmoothL1=0.962 [Epoch 178][Batch 299], Speed: 58.850 samples/sec, CrossEntropy=1.990, SmoothL1=0.956 [Epoch 178][Batch 399], Speed: 32.339 samples/sec, CrossEntropy=1.997, SmoothL1=0.953 [Epoch 178][Batch 499], Speed: 311.592 samples/sec, CrossEntropy=1.999, SmoothL1=0.956 [Epoch 178] Training cost: 251.906, CrossEntropy=2.003, SmoothL1=0.957 [Epoch 178] Validation: aeroplane=0.7643464783961357 bicycle=0.8468210382109497 bird=0.7637073662492584 boat=0.6659781697796243 bottle=0.5143541447299507 bus=0.8189220963770346 car=0.8400282464539528 cat=0.8502432582424496 chair=0.5564547177925007 cow=0.7932741667183535 diningtable=0.7161103132216069 dog=0.8243864291976826 horse=0.8392831986509715 motorbike=0.8224307733020741 person=0.7781437357037508 pottedplant=0.4619905987273542 sheep=0.7716823452045614 sofa=0.7813738045154894 train=0.8284013059955548 tvmonitor=0.7479606188792696 mAP=0.7492946403174263 [Epoch 179][Batch 99], Speed: 188.936 samples/sec, CrossEntropy=2.005, SmoothL1=0.981 [Epoch 179][Batch 199], Speed: 46.198 samples/sec, CrossEntropy=2.015, SmoothL1=0.988 [Epoch 179][Batch 299], Speed: 283.894 samples/sec, CrossEntropy=2.013, SmoothL1=0.982 [Epoch 179][Batch 399], Speed: 157.759 samples/sec, CrossEntropy=2.014, SmoothL1=0.979 [Epoch 179][Batch 499], Speed: 133.111 samples/sec, CrossEntropy=2.009, SmoothL1=0.973 [Epoch 179] Training cost: 251.591, CrossEntropy=2.009, SmoothL1=0.971 [Epoch 179] Validation: aeroplane=0.7613423271287125 bicycle=0.8476202612324822 bird=0.7403333892019868 boat=0.6675898176009513 bottle=0.5140882395711799 bus=0.8197480732947618 car=0.8465189605756442 cat=0.8472088514357926 chair=0.5592151186842019 cow=0.8026682945956592 diningtable=0.7236385396913462 dog=0.8234997538471173 horse=0.8430616525816058 motorbike=0.8273058058125105 person=0.778221755528701 pottedplant=0.4715089904773861 sheep=0.7765781224305094 sofa=0.7812486857775772 train=0.8219134450093547 tvmonitor=0.7483614728092396 mAP=0.750083577864336 [Epoch 180][Batch 99], Speed: 70.927 samples/sec, CrossEntropy=2.001, SmoothL1=0.984 [Epoch 180][Batch 199], Speed: 263.784 samples/sec, CrossEntropy=1.998, SmoothL1=0.975 [Epoch 180][Batch 299], Speed: 300.138 samples/sec, CrossEntropy=1.992, SmoothL1=0.968 [Epoch 180][Batch 399], Speed: 26.852 samples/sec, CrossEntropy=1.992, SmoothL1=0.960 [Epoch 180][Batch 499], Speed: 298.718 samples/sec, CrossEntropy=1.989, SmoothL1=0.958 [Epoch 180] Training cost: 251.812, CrossEntropy=1.989, SmoothL1=0.957 [Epoch 180] Validation: aeroplane=0.7459651185372099 bicycle=0.8486814827611053 bird=0.7468205713149638 boat=0.6564708229054764 bottle=0.5095838211932735 bus=0.814961325495823 car=0.8493838995106306 cat=0.8433597345117287 chair=0.553760288670195 cow=0.7804582927560209 diningtable=0.7046915709617967 dog=0.8285303862992729 horse=0.83138048099231 motorbike=0.8244585595583549 person=0.7816144471483721 pottedplant=0.4643503206217217 sheep=0.785731922919678 sofa=0.7757780968750783 train=0.8213833359334934 tvmonitor=0.7484583056039825 mAP=0.7457911392285244 [Epoch 181][Batch 99], Speed: 235.170 samples/sec, CrossEntropy=1.986, SmoothL1=0.961 [Epoch 181][Batch 199], Speed: 31.046 samples/sec, CrossEntropy=1.995, SmoothL1=0.953 [Epoch 181][Batch 299], Speed: 153.665 samples/sec, CrossEntropy=1.993, SmoothL1=0.954 [Epoch 181][Batch 399], Speed: 294.602 samples/sec, CrossEntropy=1.994, SmoothL1=0.963 [Epoch 181][Batch 499], Speed: 30.445 samples/sec, CrossEntropy=1.993, SmoothL1=0.959 [Epoch 181] Training cost: 253.007, CrossEntropy=1.993, SmoothL1=0.958 [Epoch 181] Validation: aeroplane=0.7633361620775059 bicycle=0.8397226748396014 bird=0.7502938680898925 boat=0.6583370854927965 bottle=0.5165144513938503 bus=0.820098033343488 car=0.8458592358259683 cat=0.8527868678616144 chair=0.555629340226448 cow=0.7921948164581514 diningtable=0.7003587127721919 dog=0.8214892720389545 horse=0.8341119218328321 motorbike=0.8309366608035625 person=0.7801981113191767 pottedplant=0.4730250272449105 sheep=0.7820079569664372 sofa=0.7835774840506495 train=0.8314599750981351 tvmonitor=0.7495481991332198 mAP=0.7490742928434693 [Epoch 182][Batch 99], Speed: 34.728 samples/sec, CrossEntropy=1.984, SmoothL1=0.937 [Epoch 182][Batch 199], Speed: 28.619 samples/sec, CrossEntropy=1.990, SmoothL1=0.948 [Epoch 182][Batch 299], Speed: 14.757 samples/sec, CrossEntropy=1.989, SmoothL1=0.952 [Epoch 182][Batch 399], Speed: 82.175 samples/sec, CrossEntropy=1.995, SmoothL1=0.946 [Epoch 182][Batch 499], Speed: 103.288 samples/sec, CrossEntropy=1.997, SmoothL1=0.957 [Epoch 182] Training cost: 250.965, CrossEntropy=1.994, SmoothL1=0.955 [Epoch 182] Validation: aeroplane=0.7665307921472102 bicycle=0.842794891742334 bird=0.7485779987851989 boat=0.6754194118624397 bottle=0.5172044900232566 bus=0.8161593461252885 car=0.8461089752308597 cat=0.857813217794462 chair=0.5569792413730911 cow=0.7889305027856985 diningtable=0.7126784907652417 dog=0.8275834622993328 horse=0.8330280139645392 motorbike=0.8335134572072921 person=0.7784174112386338 pottedplant=0.4680953664174036 sheep=0.7850603546743622 sofa=0.7890644835738205 train=0.8274051645181413 tvmonitor=0.7503016526384299 mAP=0.7510833362583519 [Epoch 183][Batch 99], Speed: 290.065 samples/sec, CrossEntropy=2.005, SmoothL1=0.981 [Epoch 183][Batch 199], Speed: 37.131 samples/sec, CrossEntropy=1.999, SmoothL1=0.969 [Epoch 183][Batch 299], Speed: 42.926 samples/sec, CrossEntropy=2.004, SmoothL1=0.967 [Epoch 183][Batch 399], Speed: 50.974 samples/sec, CrossEntropy=2.001, SmoothL1=0.965 [Epoch 183][Batch 499], Speed: 303.983 samples/sec, CrossEntropy=2.004, SmoothL1=0.967 [Epoch 183] Training cost: 251.651, CrossEntropy=2.004, SmoothL1=0.965 [Epoch 183] Validation: aeroplane=0.7796696929875563 bicycle=0.8464034151542787 bird=0.7472328541025371 boat=0.6679996848507913 bottle=0.5138403618387052 bus=0.8117377957373406 car=0.8455443519334022 cat=0.8501418093499254 chair=0.5610973963643058 cow=0.797926167335828 diningtable=0.7373624801667193 dog=0.8289676950728986 horse=0.8290033721005149 motorbike=0.8349283298286779 person=0.7791663209547011 pottedplant=0.45345767266065035 sheep=0.7758141200900396 sofa=0.7777679641304451 train=0.8229052163277615 tvmonitor=0.7516236825559877 mAP=0.7506295191771534 [Epoch 184][Batch 99], Speed: 316.135 samples/sec, CrossEntropy=1.970, SmoothL1=0.943 [Epoch 184][Batch 199], Speed: 68.799 samples/sec, CrossEntropy=1.979, SmoothL1=0.942 [Epoch 184][Batch 299], Speed: 314.848 samples/sec, CrossEntropy=1.976, SmoothL1=0.947 [Epoch 184][Batch 399], Speed: 294.429 samples/sec, CrossEntropy=1.985, SmoothL1=0.949 [Epoch 184][Batch 499], Speed: 72.096 samples/sec, CrossEntropy=1.983, SmoothL1=0.946 [Epoch 184] Training cost: 248.061, CrossEntropy=1.986, SmoothL1=0.947 [Epoch 184] Validation: aeroplane=0.7529122248518808 bicycle=0.8495166360626956 bird=0.74801698343016 boat=0.6686538264077091 bottle=0.5002157185202311 bus=0.8141069276815884 car=0.8439632055351077 cat=0.8431920473956398 chair=0.5514274613421681 cow=0.7974449412545578 diningtable=0.7099256570603456 dog=0.8266181858614329 horse=0.8256046025415205 motorbike=0.8258751796787126 person=0.7775164533123597 pottedplant=0.45634988358363543 sheep=0.7779969757718742 sofa=0.7905880911215729 train=0.8254241371655108 tvmonitor=0.7465436641881567 mAP=0.7465946401383429 [Epoch 185][Batch 99], Speed: 150.578 samples/sec, CrossEntropy=1.985, SmoothL1=0.954 [Epoch 185][Batch 199], Speed: 30.353 samples/sec, CrossEntropy=2.004, SmoothL1=0.961 [Epoch 185][Batch 299], Speed: 41.918 samples/sec, CrossEntropy=1.996, SmoothL1=0.954 [Epoch 185][Batch 399], Speed: 56.374 samples/sec, CrossEntropy=1.999, SmoothL1=0.962 [Epoch 185][Batch 499], Speed: 49.743 samples/sec, CrossEntropy=1.999, SmoothL1=0.962 [Epoch 185] Training cost: 249.694, CrossEntropy=1.997, SmoothL1=0.959 [Epoch 185] Validation: aeroplane=0.7806284687017246 bicycle=0.8313102682188772 bird=0.7478400965449691 boat=0.6707937177513512 bottle=0.5051218470530785 bus=0.8220786407234678 car=0.8460672543620348 cat=0.8426058470287585 chair=0.5525188050029455 cow=0.798361247708611 diningtable=0.7001563913886372 dog=0.8255777106289891 horse=0.827717918534875 motorbike=0.8269411337362474 person=0.7763194763718576 pottedplant=0.457869464786075 sheep=0.7763712991889619 sofa=0.7865334333429218 train=0.8366323627019284 tvmonitor=0.7450408175667972 mAP=0.7478243100671554 [Epoch 186][Batch 99], Speed: 39.112 samples/sec, CrossEntropy=1.984, SmoothL1=0.946 [Epoch 186][Batch 199], Speed: 289.883 samples/sec, CrossEntropy=1.987, SmoothL1=0.956 [Epoch 186][Batch 299], Speed: 79.835 samples/sec, CrossEntropy=1.984, SmoothL1=0.959 [Epoch 186][Batch 399], Speed: 295.321 samples/sec, CrossEntropy=1.981, SmoothL1=0.962 [Epoch 186][Batch 499], Speed: 102.609 samples/sec, CrossEntropy=1.984, SmoothL1=0.959 [Epoch 186] Training cost: 248.372, CrossEntropy=1.984, SmoothL1=0.959 [Epoch 186] Validation: aeroplane=0.7557503139488897 bicycle=0.8423797522866653 bird=0.7550874934898969 boat=0.6649219782867752 bottle=0.5062246824447747 bus=0.8174889901004134 car=0.8439543320102054 cat=0.8441381943888749 chair=0.5575808239580127 cow=0.8051250583027344 diningtable=0.7078897363110138 dog=0.8283629233280031 horse=0.8347221994811528 motorbike=0.8362514803678182 person=0.7780881985039425 pottedplant=0.44988495490069846 sheep=0.7702164617458181 sofa=0.7860657921471788 train=0.8255561960745013 tvmonitor=0.7528703800805228 mAP=0.7481279971078947 [Epoch 187][Batch 99], Speed: 316.856 samples/sec, CrossEntropy=2.016, SmoothL1=0.955 [Epoch 187][Batch 199], Speed: 35.661 samples/sec, CrossEntropy=2.007, SmoothL1=0.971 [Epoch 187][Batch 299], Speed: 45.009 samples/sec, CrossEntropy=1.991, SmoothL1=0.963 [Epoch 187][Batch 399], Speed: 319.919 samples/sec, CrossEntropy=1.981, SmoothL1=0.953 [Epoch 187][Batch 499], Speed: 292.597 samples/sec, CrossEntropy=1.983, SmoothL1=0.946 [Epoch 187] Training cost: 248.267, CrossEntropy=1.984, SmoothL1=0.946 [Epoch 187] Validation: aeroplane=0.7527334536852174 bicycle=0.8472355624114972 bird=0.7454078996722266 boat=0.661259270219349 bottle=0.49648759608276183 bus=0.8212678136315784 car=0.8469076859798645 cat=0.8501865890985305 chair=0.5559132783978712 cow=0.7953663967369762 diningtable=0.7057014823509414 dog=0.8288916153098158 horse=0.8348220097467859 motorbike=0.8243789243789243 person=0.7780589388382916 pottedplant=0.4561112462036472 sheep=0.7787770059067555 sofa=0.7854764223340499 train=0.8218888934795302 tvmonitor=0.7546337497038458 mAP=0.747075291708423 [Epoch 188][Batch 99], Speed: 39.288 samples/sec, CrossEntropy=1.987, SmoothL1=0.965 [Epoch 188][Batch 199], Speed: 297.431 samples/sec, CrossEntropy=1.973, SmoothL1=0.953 [Epoch 188][Batch 299], Speed: 25.067 samples/sec, CrossEntropy=1.988, SmoothL1=0.948 [Epoch 188][Batch 399], Speed: 89.562 samples/sec, CrossEntropy=1.988, SmoothL1=0.949 [Epoch 188][Batch 499], Speed: 41.437 samples/sec, CrossEntropy=1.987, SmoothL1=0.954 [Epoch 188] Training cost: 249.302, CrossEntropy=1.987, SmoothL1=0.950 [Epoch 188] Validation: aeroplane=0.7587256451785978 bicycle=0.8394153526823651 bird=0.7366848610526336 boat=0.6608918697962679 bottle=0.4996347624124371 bus=0.8167106175271641 car=0.8453916565637115 cat=0.8474484571372362 chair=0.5521193871840085 cow=0.779453637992251 diningtable=0.7169939864414413 dog=0.8256573811661075 horse=0.8345641478467906 motorbike=0.8330242358765311 person=0.779825661385284 pottedplant=0.4616086877667126 sheep=0.7715017661902527 sofa=0.7817528263746161 train=0.8272465462950065 tvmonitor=0.7536961594033008 mAP=0.7461173823136359 [Epoch 189][Batch 99], Speed: 115.216 samples/sec, CrossEntropy=1.973, SmoothL1=0.957 [Epoch 189][Batch 199], Speed: 313.553 samples/sec, CrossEntropy=1.967, SmoothL1=0.944 [Epoch 189][Batch 299], Speed: 39.514 samples/sec, CrossEntropy=1.967, SmoothL1=0.939 [Epoch 189][Batch 399], Speed: 274.201 samples/sec, CrossEntropy=1.970, SmoothL1=0.945 [Epoch 189][Batch 499], Speed: 322.398 samples/sec, CrossEntropy=1.965, SmoothL1=0.940 [Epoch 189] Training cost: 247.420, CrossEntropy=1.965, SmoothL1=0.941 [Epoch 189] Validation: aeroplane=0.7761546598354082 bicycle=0.8366045076811474 bird=0.7405090421687359 boat=0.6837467877287572 bottle=0.4984725702840776 bus=0.8244229847526179 car=0.8453546932571003 cat=0.85230647608039 chair=0.5625802025487132 cow=0.7951929720511385 diningtable=0.7116721645477021 dog=0.8257955955235134 horse=0.8369538540623289 motorbike=0.8316187599118318 person=0.7761948203816367 pottedplant=0.46394087334560585 sheep=0.7832782732106198 sofa=0.790234094635235 train=0.8261544374619643 tvmonitor=0.7530523311289973 mAP=0.750712005029876 [Epoch 190][Batch 99], Speed: 307.545 samples/sec, CrossEntropy=1.993, SmoothL1=0.958 [Epoch 190][Batch 199], Speed: 31.841 samples/sec, CrossEntropy=1.986, SmoothL1=0.954 [Epoch 190][Batch 299], Speed: 24.463 samples/sec, CrossEntropy=1.982, SmoothL1=0.952 [Epoch 190][Batch 399], Speed: 111.282 samples/sec, CrossEntropy=1.976, SmoothL1=0.951 [Epoch 190][Batch 499], Speed: 29.876 samples/sec, CrossEntropy=1.972, SmoothL1=0.947 [Epoch 190] Training cost: 250.672, CrossEntropy=1.973, SmoothL1=0.946 [Epoch 190] Validation: aeroplane=0.7594028444029993 bicycle=0.8379971945726825 bird=0.7546690117554857 boat=0.6748428364068738 bottle=0.5088691671294597 bus=0.8221627816733615 car=0.845926216060427 cat=0.8516768747223821 chair=0.5480052546413877 cow=0.7874559706604009 diningtable=0.7149286121061736 dog=0.8250594138487282 horse=0.8323451686073815 motorbike=0.8226003839030458 person=0.7779883301525073 pottedplant=0.45561317903088794 sheep=0.7816843627478267 sofa=0.7968801592919578 train=0.8273709434145771 tvmonitor=0.7506163863963955 mAP=0.7488047545762471 [Epoch 191][Batch 99], Speed: 293.732 samples/sec, CrossEntropy=1.959, SmoothL1=0.934 [Epoch 191][Batch 199], Speed: 303.262 samples/sec, CrossEntropy=1.960, SmoothL1=0.925 [Epoch 191][Batch 299], Speed: 23.691 samples/sec, CrossEntropy=1.963, SmoothL1=0.934 [Epoch 191][Batch 399], Speed: 312.987 samples/sec, CrossEntropy=1.970, SmoothL1=0.942 [Epoch 191][Batch 499], Speed: 102.400 samples/sec, CrossEntropy=1.974, SmoothL1=0.944 [Epoch 191] Training cost: 250.962, CrossEntropy=1.975, SmoothL1=0.944 [Epoch 191] Validation: aeroplane=0.7871941614899576 bicycle=0.8409184826513695 bird=0.7411033949438063 boat=0.6695553535724914 bottle=0.4991604949816815 bus=0.8153413875189816 car=0.8456235707809865 cat=0.8467625839953185 chair=0.5613745683836133 cow=0.7944190377707241 diningtable=0.720036572734931 dog=0.8261807727700065 horse=0.831976847572806 motorbike=0.8255069922308632 person=0.7814572706859734 pottedplant=0.45493774304243795 sheep=0.7839838901547688 sofa=0.7888527102721385 train=0.8322369628448075 tvmonitor=0.755914301544504 mAP=0.7501268549971083 [Epoch 192][Batch 99], Speed: 45.148 samples/sec, CrossEntropy=1.961, SmoothL1=0.929 [Epoch 192][Batch 199], Speed: 281.781 samples/sec, CrossEntropy=1.966, SmoothL1=0.934 [Epoch 192][Batch 299], Speed: 29.507 samples/sec, CrossEntropy=1.980, SmoothL1=0.950 [Epoch 192][Batch 399], Speed: 308.126 samples/sec, CrossEntropy=1.974, SmoothL1=0.947 [Epoch 192][Batch 499], Speed: 305.375 samples/sec, CrossEntropy=1.979, SmoothL1=0.945 [Epoch 192] Training cost: 247.992, CrossEntropy=1.979, SmoothL1=0.945 [Epoch 192] Validation: aeroplane=0.7796735069249917 bicycle=0.8417761744292678 bird=0.7449068214203557 boat=0.6695389789787237 bottle=0.5093526798946482 bus=0.8237712696109802 car=0.8503237463943882 cat=0.8481138790036973 chair=0.5622066350570315 cow=0.7931673412180122 diningtable=0.7231956979590403 dog=0.8278248163713742 horse=0.8316382491537695 motorbike=0.8186361690734935 person=0.7817936382217704 pottedplant=0.45740550859812196 sheep=0.7766726220150707 sofa=0.7899429698073224 train=0.8330121949756112 tvmonitor=0.7508705041131667 mAP=0.7506911701610418 [Epoch 193][Batch 99], Speed: 48.503 samples/sec, CrossEntropy=1.975, SmoothL1=0.946 [Epoch 193][Batch 199], Speed: 87.742 samples/sec, CrossEntropy=1.971, SmoothL1=0.938 [Epoch 193][Batch 299], Speed: 38.229 samples/sec, CrossEntropy=1.970, SmoothL1=0.942 [Epoch 193][Batch 399], Speed: 31.979 samples/sec, CrossEntropy=1.972, SmoothL1=0.940 [Epoch 193][Batch 499], Speed: 251.260 samples/sec, CrossEntropy=1.979, SmoothL1=0.943 [Epoch 193] Training cost: 250.200, CrossEntropy=1.979, SmoothL1=0.942 [Epoch 193] Validation: aeroplane=0.7807148785260309 bicycle=0.8367070829207304 bird=0.751868464371738 boat=0.6806079850203217 bottle=0.496996727321881 bus=0.8232410044272432 car=0.8504361116867923 cat=0.8462448474153771 chair=0.5554560626493438 cow=0.7912665184671992 diningtable=0.7184559673840735 dog=0.8229597628556024 horse=0.8374583503542851 motorbike=0.8217010547115505 person=0.778029881441444 pottedplant=0.45618832431614664 sheep=0.7909527373264482 sofa=0.7865465409057041 train=0.8295595136804791 tvmonitor=0.7612962803155486 mAP=0.7508344048048969 [Epoch 194][Batch 99], Speed: 36.945 samples/sec, CrossEntropy=1.965, SmoothL1=0.923 [Epoch 194][Batch 199], Speed: 47.920 samples/sec, CrossEntropy=1.968, SmoothL1=0.919 [Epoch 194][Batch 299], Speed: 241.917 samples/sec, CrossEntropy=1.975, SmoothL1=0.933 [Epoch 194][Batch 399], Speed: 303.409 samples/sec, CrossEntropy=1.980, SmoothL1=0.942 [Epoch 194][Batch 499], Speed: 31.832 samples/sec, CrossEntropy=1.975, SmoothL1=0.942 [Epoch 194] Training cost: 250.377, CrossEntropy=1.976, SmoothL1=0.942 [Epoch 194] Validation: aeroplane=0.7613186682937871 bicycle=0.8441181762441365 bird=0.741644350189822 boat=0.6684049694445255 bottle=0.5069420330167118 bus=0.8231990667033435 car=0.8476791708808992 cat=0.8481970744296413 chair=0.549240569348897 cow=0.7966360374161398 diningtable=0.6968792014798874 dog=0.8276160006663549 horse=0.8318168563411774 motorbike=0.8260581822253593 person=0.7814574292524338 pottedplant=0.46864807104839573 sheep=0.7733432593675889 sofa=0.7838307892449669 train=0.8279016170744086 tvmonitor=0.7524653026722763 mAP=0.7478698412670376 [Epoch 195][Batch 99], Speed: 20.772 samples/sec, CrossEntropy=1.985, SmoothL1=0.964 [Epoch 195][Batch 199], Speed: 74.992 samples/sec, CrossEntropy=1.975, SmoothL1=0.956 [Epoch 195][Batch 299], Speed: 311.229 samples/sec, CrossEntropy=1.973, SmoothL1=0.951 [Epoch 195][Batch 399], Speed: 307.167 samples/sec, CrossEntropy=1.969, SmoothL1=0.946 [Epoch 195][Batch 499], Speed: 305.505 samples/sec, CrossEntropy=1.967, SmoothL1=0.941 [Epoch 195] Training cost: 249.888, CrossEntropy=1.967, SmoothL1=0.940 [Epoch 195] Validation: aeroplane=0.7620886619888424 bicycle=0.8416371300791746 bird=0.7511968143907363 boat=0.6622209360538936 bottle=0.5065627641893469 bus=0.8235997348378983 car=0.8473396693050741 cat=0.8517757255087719 chair=0.5536116027394811 cow=0.8060752889530411 diningtable=0.7102058975439407 dog=0.8219302927274948 horse=0.8354730018428443 motorbike=0.8317588293003497 person=0.7787538299125623 pottedplant=0.4664436460374161 sheep=0.7769582146648272 sofa=0.7848007139878388 train=0.828364922849201 tvmonitor=0.7507070156459761 mAP=0.7495752346279355 [Epoch 196][Batch 99], Speed: 102.464 samples/sec, CrossEntropy=1.935, SmoothL1=0.925 [Epoch 196][Batch 199], Speed: 107.779 samples/sec, CrossEntropy=1.963, SmoothL1=0.935 [Epoch 196][Batch 299], Speed: 318.758 samples/sec, CrossEntropy=1.977, SmoothL1=0.948 [Epoch 196][Batch 399], Speed: 50.873 samples/sec, CrossEntropy=1.980, SmoothL1=0.947 [Epoch 196][Batch 499], Speed: 304.108 samples/sec, CrossEntropy=1.975, SmoothL1=0.942 [Epoch 196] Training cost: 249.930, CrossEntropy=1.977, SmoothL1=0.943 [Epoch 196] Validation: aeroplane=0.7648922257895178 bicycle=0.838808854427349 bird=0.7582815414296211 boat=0.6674070399328172 bottle=0.5089499106361983 bus=0.8199228456408847 car=0.8487253791525053 cat=0.8501231172167928 chair=0.5516698231973374 cow=0.7952736817493731 diningtable=0.7213212122069058 dog=0.8263529397364959 horse=0.8249870004083807 motorbike=0.8288919117945933 person=0.7812055805902658 pottedplant=0.46674569142191913 sheep=0.7668657070976741 sofa=0.7808585649779869 train=0.8239901473523237 tvmonitor=0.7568287041334372 mAP=0.749105093944619 [Epoch 197][Batch 99], Speed: 20.252 samples/sec, CrossEntropy=1.950, SmoothL1=0.907 [Epoch 197][Batch 199], Speed: 89.811 samples/sec, CrossEntropy=1.964, SmoothL1=0.927 [Epoch 197][Batch 299], Speed: 87.292 samples/sec, CrossEntropy=1.962, SmoothL1=0.934 [Epoch 197][Batch 399], Speed: 25.360 samples/sec, CrossEntropy=1.962, SmoothL1=0.939 [Epoch 197][Batch 499], Speed: 313.437 samples/sec, CrossEntropy=1.968, SmoothL1=0.941 [Epoch 197] Training cost: 249.636, CrossEntropy=1.968, SmoothL1=0.942 [Epoch 197] Validation: aeroplane=0.7759657989378402 bicycle=0.838154238233137 bird=0.743454674400142 boat=0.6734959048681193 bottle=0.5090262101700599 bus=0.8241102562539023 car=0.8475178976094018 cat=0.8499931565552098 chair=0.5642338806398286 cow=0.8037391221152926 diningtable=0.7053010953616231 dog=0.828493894154276 horse=0.8291632655537906 motorbike=0.8301003213260106 person=0.7784665783397108 pottedplant=0.46425620209036883 sheep=0.780734774545185 sofa=0.7758658986948922 train=0.8286619505587461 tvmonitor=0.753680539965581 mAP=0.7502207830186559 [Epoch 198][Batch 99], Speed: 141.457 samples/sec, CrossEntropy=1.966, SmoothL1=0.933 [Epoch 198][Batch 199], Speed: 96.811 samples/sec, CrossEntropy=1.965, SmoothL1=0.932 [Epoch 198][Batch 299], Speed: 312.584 samples/sec, CrossEntropy=1.962, SmoothL1=0.939 [Epoch 198][Batch 399], Speed: 36.158 samples/sec, CrossEntropy=1.968, SmoothL1=0.943 [Epoch 198][Batch 499], Speed: 312.103 samples/sec, CrossEntropy=1.972, SmoothL1=0.945 [Epoch 198] Training cost: 249.971, CrossEntropy=1.972, SmoothL1=0.944 [Epoch 198] Validation: aeroplane=0.7780584264101731 bicycle=0.8407766593136093 bird=0.7556657242040349 boat=0.6680207721267719 bottle=0.504667044598104 bus=0.8223343917820486 car=0.8526587502199181 cat=0.8492364082064187 chair=0.5601554837971475 cow=0.7873194307210724 diningtable=0.711338330414913 dog=0.8278919496333862 horse=0.8281809834583366 motorbike=0.8298099417704994 person=0.7809396652982461 pottedplant=0.45575326553553575 sheep=0.7791437599138458 sofa=0.7734032168531787 train=0.8291159587175476 tvmonitor=0.7541780338505045 mAP=0.7494324098412646 [Epoch 199][Batch 99], Speed: 129.507 samples/sec, CrossEntropy=1.951, SmoothL1=0.918 [Epoch 199][Batch 199], Speed: 55.079 samples/sec, CrossEntropy=1.966, SmoothL1=0.946 [Epoch 199][Batch 299], Speed: 310.794 samples/sec, CrossEntropy=1.968, SmoothL1=0.947 [Epoch 199][Batch 399], Speed: 312.590 samples/sec, CrossEntropy=1.966, SmoothL1=0.948 [Epoch 199][Batch 499], Speed: 47.855 samples/sec, CrossEntropy=1.962, SmoothL1=0.945 [Epoch 199] Training cost: 248.792, CrossEntropy=1.962, SmoothL1=0.944 [Epoch 199] Validation: aeroplane=0.7764222936599164 bicycle=0.8440693315460528 bird=0.7387793982320007 boat=0.6779719998678948 bottle=0.5040961620201941 bus=0.815734211638946 car=0.8508960207929208 cat=0.8434576795485825 chair=0.559542574855125 cow=0.7935579040206369 diningtable=0.7042865643670799 dog=0.8264771086649269 horse=0.8338767013370323 motorbike=0.8250341724955224 person=0.7814189341776977 pottedplant=0.4631782242538484 sheep=0.7796022638900441 sofa=0.7871995135113313 train=0.8285387098464336 tvmonitor=0.746837165300165 mAP=0.7490488467013175 [Epoch 200] Set learning rate to 1e-05 [Epoch 200][Batch 99], Speed: 110.356 samples/sec, CrossEntropy=1.987, SmoothL1=0.942 [Epoch 200][Batch 199], Speed: 314.987 samples/sec, CrossEntropy=1.983, SmoothL1=0.951 [Epoch 200][Batch 299], Speed: 74.097 samples/sec, CrossEntropy=1.983, SmoothL1=0.951 [Epoch 200][Batch 399], Speed: 257.109 samples/sec, CrossEntropy=1.972, SmoothL1=0.945 [Epoch 200][Batch 499], Speed: 95.743 samples/sec, CrossEntropy=1.967, SmoothL1=0.942 [Epoch 200] Training cost: 248.445, CrossEntropy=1.968, SmoothL1=0.941 [Epoch 200] Validation: aeroplane=0.7708522588161705 bicycle=0.8460901930617224 bird=0.7492214861127017 boat=0.6768521255761584 bottle=0.5069987404252949 bus=0.8285222870478749 car=0.8460764526290141 cat=0.8566108255295777 chair=0.5592483304784539 cow=0.8089497708227162 diningtable=0.7133320175862343 dog=0.8287503163406943 horse=0.8233252883781973 motorbike=0.8316597436386287 person=0.7816821504194567 pottedplant=0.46893875498287724 sheep=0.7767663031977381 sofa=0.7879118260960789 train=0.8260123541408098 tvmonitor=0.7499626103766601 mAP=0.7518881917828529 [Epoch 201][Batch 99], Speed: 253.537 samples/sec, CrossEntropy=1.939, SmoothL1=0.938 [Epoch 201][Batch 199], Speed: 38.059 samples/sec, CrossEntropy=1.957, SmoothL1=0.940 [Epoch 201][Batch 299], Speed: 115.756 samples/sec, CrossEntropy=1.962, SmoothL1=0.935 [Epoch 201][Batch 399], Speed: 22.110 samples/sec, CrossEntropy=1.966, SmoothL1=0.940 [Epoch 201][Batch 499], Speed: 54.328 samples/sec, CrossEntropy=1.968, SmoothL1=0.948 [Epoch 201] Training cost: 252.799, CrossEntropy=1.965, SmoothL1=0.947 [Epoch 201] Validation: aeroplane=0.7891402833132831 bicycle=0.8418178684482835 bird=0.7562093845712754 boat=0.6676837581724889 bottle=0.5037532388349952 bus=0.82756822386947 car=0.8464151534851189 cat=0.8514078327799414 chair=0.5579072812182224 cow=0.8066193219697712 diningtable=0.7064221899812175 dog=0.8230910171610222 horse=0.8249938474637528 motorbike=0.8271931702062473 person=0.7794650784460452 pottedplant=0.4685265629233459 sheep=0.7841596317499432 sofa=0.7844943787367235 train=0.8224522771302551 tvmonitor=0.7554136655223845 mAP=0.7512367082991893 [Epoch 202][Batch 99], Speed: 81.903 samples/sec, CrossEntropy=1.958, SmoothL1=0.941 [Epoch 202][Batch 199], Speed: 316.771 samples/sec, CrossEntropy=1.959, SmoothL1=0.943 [Epoch 202][Batch 299], Speed: 38.619 samples/sec, CrossEntropy=1.960, SmoothL1=0.938 [Epoch 202][Batch 399], Speed: 81.241 samples/sec, CrossEntropy=1.956, SmoothL1=0.939 [Epoch 202][Batch 499], Speed: 311.694 samples/sec, CrossEntropy=1.953, SmoothL1=0.933 [Epoch 202] Training cost: 247.675, CrossEntropy=1.953, SmoothL1=0.933 [Epoch 202] Validation: aeroplane=0.7644686136099944 bicycle=0.843011662171369 bird=0.74469302240795 boat=0.6748750446523984 bottle=0.5139492150205154 bus=0.8227771551314558 car=0.8462808627531221 cat=0.8474137889706412 chair=0.562025645013775 cow=0.8021752752616962 diningtable=0.7143842393422821 dog=0.8285481699539481 horse=0.8324068996792362 motorbike=0.8216550368778912 person=0.7819423481020474 pottedplant=0.4590703718698337 sheep=0.785687410237162 sofa=0.7921446778854908 train=0.8339641615757513 tvmonitor=0.7543023375955462 mAP=0.7512887969056055 [Epoch 203][Batch 99], Speed: 49.385 samples/sec, CrossEntropy=1.983, SmoothL1=0.946 [Epoch 203][Batch 199], Speed: 67.339 samples/sec, CrossEntropy=1.968, SmoothL1=0.941 [Epoch 203][Batch 299], Speed: 217.894 samples/sec, CrossEntropy=1.966, SmoothL1=0.941 [Epoch 203][Batch 399], Speed: 311.701 samples/sec, CrossEntropy=1.961, SmoothL1=0.936 [Epoch 203][Batch 499], Speed: 44.892 samples/sec, CrossEntropy=1.960, SmoothL1=0.935 [Epoch 203] Training cost: 249.606, CrossEntropy=1.963, SmoothL1=0.936 [Epoch 203] Validation: aeroplane=0.7729108446952596 bicycle=0.8426829309962534 bird=0.7580289813097959 boat=0.6722669010481948 bottle=0.5077096117275248 bus=0.8236523037011468 car=0.8487766597962902 cat=0.8460929627052168 chair=0.5592266332258954 cow=0.7928650356581632 diningtable=0.7097143044685738 dog=0.8311295096146988 horse=0.8363707975369157 motorbike=0.8240361494052608 person=0.780338466127212 pottedplant=0.46657448145563585 sheep=0.7840215026674832 sofa=0.7808697005692892 train=0.8302940179359418 tvmonitor=0.7517633809138518 mAP=0.7509662587779302 [Epoch 204][Batch 99], Speed: 28.388 samples/sec, CrossEntropy=1.944, SmoothL1=0.931 [Epoch 204][Batch 199], Speed: 67.981 samples/sec, CrossEntropy=1.940, SmoothL1=0.921 [Epoch 204][Batch 299], Speed: 309.329 samples/sec, CrossEntropy=1.944, SmoothL1=0.917 [Epoch 204][Batch 399], Speed: 287.687 samples/sec, CrossEntropy=1.939, SmoothL1=0.921 [Epoch 204][Batch 499], Speed: 33.945 samples/sec, CrossEntropy=1.946, SmoothL1=0.927 [Epoch 204] Training cost: 248.820, CrossEntropy=1.946, SmoothL1=0.929 [Epoch 204] Validation: aeroplane=0.769628192922791 bicycle=0.8417623606862872 bird=0.7623606321430166 boat=0.6857682080391764 bottle=0.5129920842957154 bus=0.8219448643573736 car=0.8436915039093095 cat=0.8515180514724011 chair=0.5658028584433251 cow=0.7860634390231905 diningtable=0.7104130201590942 dog=0.8331222463675866 horse=0.8403320444348913 motorbike=0.8388504960117902 person=0.7799094296467652 pottedplant=0.46618273134890587 sheep=0.7836073117739286 sofa=0.7770906528956641 train=0.8316838543735132 tvmonitor=0.7551879274638053 mAP=0.7528955954884266 [Epoch 205][Batch 99], Speed: 271.513 samples/sec, CrossEntropy=1.941, SmoothL1=0.928 [Epoch 205][Batch 199], Speed: 38.278 samples/sec, CrossEntropy=1.958, SmoothL1=0.940 [Epoch 205][Batch 299], Speed: 44.674 samples/sec, CrossEntropy=1.962, SmoothL1=0.945 [Epoch 205][Batch 399], Speed: 26.237 samples/sec, CrossEntropy=1.960, SmoothL1=0.942 [Epoch 205][Batch 499], Speed: 75.691 samples/sec, CrossEntropy=1.964, SmoothL1=0.942 [Epoch 205] Training cost: 248.786, CrossEntropy=1.965, SmoothL1=0.943 [Epoch 205] Validation: aeroplane=0.7571229413486447 bicycle=0.8414361122130917 bird=0.7656705585283655 boat=0.674747774934427 bottle=0.5134985047967079 bus=0.8272411514162541 car=0.8486378293221211 cat=0.8496005946945788 chair=0.5604578932672571 cow=0.8078893242519294 diningtable=0.7065079607383858 dog=0.8277671804187587 horse=0.8283643160155254 motorbike=0.8339849268757417 person=0.7836466846043486 pottedplant=0.4751720564838098 sheep=0.7868708725069816 sofa=0.7875590768462597 train=0.8241433634984109 tvmonitor=0.7573876618279974 mAP=0.7528853392294799 [Epoch 206][Batch 99], Speed: 86.272 samples/sec, CrossEntropy=1.936, SmoothL1=0.947 [Epoch 206][Batch 199], Speed: 41.384 samples/sec, CrossEntropy=1.943, SmoothL1=0.930 [Epoch 206][Batch 299], Speed: 283.549 samples/sec, CrossEntropy=1.949, SmoothL1=0.940 [Epoch 206][Batch 399], Speed: 90.671 samples/sec, CrossEntropy=1.948, SmoothL1=0.934 [Epoch 206][Batch 499], Speed: 113.902 samples/sec, CrossEntropy=1.951, SmoothL1=0.935 [Epoch 206] Training cost: 251.073, CrossEntropy=1.953, SmoothL1=0.938 [Epoch 206] Validation: aeroplane=0.7726542643979436 bicycle=0.8423708595932533 bird=0.7430861955258554 boat=0.6784251393176667 bottle=0.514276844656739 bus=0.8305886379244484 car=0.8461724883967041 cat=0.8532651008752169 chair=0.5694884953903254 cow=0.7971565328883505 diningtable=0.7082794558327488 dog=0.8299513044844017 horse=0.8362077152302931 motorbike=0.8336051023402452 person=0.7800825338636989 pottedplant=0.4572191670997984 sheep=0.7818679929604926 sofa=0.7820949871877771 train=0.8306665612653589 tvmonitor=0.7576791494208492 mAP=0.7522569264326083 [Epoch 207][Batch 99], Speed: 138.598 samples/sec, CrossEntropy=1.957, SmoothL1=0.950 [Epoch 207][Batch 199], Speed: 85.160 samples/sec, CrossEntropy=1.962, SmoothL1=0.949 [Epoch 207][Batch 299], Speed: 107.691 samples/sec, CrossEntropy=1.965, SmoothL1=0.951 [Epoch 207][Batch 399], Speed: 44.529 samples/sec, CrossEntropy=1.961, SmoothL1=0.950 [Epoch 207][Batch 499], Speed: 49.238 samples/sec, CrossEntropy=1.959, SmoothL1=0.946 [Epoch 207] Training cost: 251.058, CrossEntropy=1.957, SmoothL1=0.947 [Epoch 207] Validation: aeroplane=0.7644173910515722 bicycle=0.8407476231929398 bird=0.7570429676097322 boat=0.6801444908818661 bottle=0.5067066523645394 bus=0.8283547670591337 car=0.8446612881832362 cat=0.8494725179812114 chair=0.5555647682170619 cow=0.8036125592033612 diningtable=0.7114351483278238 dog=0.8298195046243361 horse=0.8327071854535911 motorbike=0.8224309934709737 person=0.780841236937833 pottedplant=0.46636746009023944 sheep=0.7819546595310571 sofa=0.7804859278845354 train=0.8302471781558353 tvmonitor=0.7561103358654337 mAP=0.7511562328043156 [Epoch 208][Batch 99], Speed: 33.937 samples/sec, CrossEntropy=1.964, SmoothL1=0.963 [Epoch 208][Batch 199], Speed: 305.211 samples/sec, CrossEntropy=1.950, SmoothL1=0.943 [Epoch 208][Batch 299], Speed: 280.673 samples/sec, CrossEntropy=1.954, SmoothL1=0.941 [Epoch 208][Batch 399], Speed: 70.795 samples/sec, CrossEntropy=1.952, SmoothL1=0.942 [Epoch 208][Batch 499], Speed: 44.606 samples/sec, CrossEntropy=1.950, SmoothL1=0.943 [Epoch 208] Training cost: 251.434, CrossEntropy=1.951, SmoothL1=0.944 [Epoch 208] Validation: aeroplane=0.7775469922783553 bicycle=0.8423374787899367 bird=0.7506741556086894 boat=0.674851068135062 bottle=0.511285345760688 bus=0.8233016298067799 car=0.8434326030029784 cat=0.8490637081621945 chair=0.5656498808294986 cow=0.8012826237903137 diningtable=0.7162897727530786 dog=0.8317391686706616 horse=0.833478114211201 motorbike=0.8277447386526143 person=0.7828170892755772 pottedplant=0.4534601880210166 sheep=0.7865699577262423 sofa=0.7774261368882425 train=0.8330021105155713 tvmonitor=0.7583100730846684 mAP=0.7520131417981685 [Epoch 209][Batch 99], Speed: 84.928 samples/sec, CrossEntropy=1.972, SmoothL1=0.937 [Epoch 209][Batch 199], Speed: 85.685 samples/sec, CrossEntropy=1.978, SmoothL1=0.958 [Epoch 209][Batch 299], Speed: 47.113 samples/sec, CrossEntropy=1.967, SmoothL1=0.944 [Epoch 209][Batch 399], Speed: 276.837 samples/sec, CrossEntropy=1.963, SmoothL1=0.944 [Epoch 209][Batch 499], Speed: 82.275 samples/sec, CrossEntropy=1.963, SmoothL1=0.946 [Epoch 209] Training cost: 249.632, CrossEntropy=1.962, SmoothL1=0.946 [Epoch 209] Validation: aeroplane=0.7823738341344659 bicycle=0.8421779768600837 bird=0.7539837362383147 boat=0.6755811621295548 bottle=0.5124200522887896 bus=0.8249924326260061 car=0.8470257592412651 cat=0.8473762543586821 chair=0.5621606186453496 cow=0.7869668104701891 diningtable=0.7074943488399179 dog=0.830269803221998 horse=0.8348816107425621 motorbike=0.8252148835196816 person=0.7815158253709895 pottedplant=0.46494198015749105 sheep=0.787941163239548 sofa=0.7878934429602878 train=0.8277044536357825 tvmonitor=0.7561388522972102 mAP=0.7519527500489085 [Epoch 210][Batch 99], Speed: 193.824 samples/sec, CrossEntropy=1.923, SmoothL1=0.919 [Epoch 210][Batch 199], Speed: 87.972 samples/sec, CrossEntropy=1.930, SmoothL1=0.917 [Epoch 210][Batch 299], Speed: 25.066 samples/sec, CrossEntropy=1.937, SmoothL1=0.924 [Epoch 210][Batch 399], Speed: 307.032 samples/sec, CrossEntropy=1.944, SmoothL1=0.925 [Epoch 210][Batch 499], Speed: 286.886 samples/sec, CrossEntropy=1.946, SmoothL1=0.926 [Epoch 210] Training cost: 249.712, CrossEntropy=1.947, SmoothL1=0.927 [Epoch 210] Validation: aeroplane=0.7837481944589986 bicycle=0.8448783326566615 bird=0.7597186215191694 boat=0.6737359372123533 bottle=0.5064458568886295 bus=0.8217422906042187 car=0.8484688768804162 cat=0.8514798232787826 chair=0.5599382908356773 cow=0.7935344737237197 diningtable=0.7081040609883601 dog=0.8301735844575551 horse=0.8348205074823629 motorbike=0.8328233848990038 person=0.7808532070592813 pottedplant=0.4543134684589554 sheep=0.7862779638349147 sofa=0.7893991812127199 train=0.8297097159844764 tvmonitor=0.7519342418929188 mAP=0.7521050007164587 [Epoch 211][Batch 99], Speed: 45.703 samples/sec, CrossEntropy=1.947, SmoothL1=0.925 [Epoch 211][Batch 199], Speed: 321.941 samples/sec, CrossEntropy=1.939, SmoothL1=0.915 [Epoch 211][Batch 299], Speed: 313.021 samples/sec, CrossEntropy=1.944, SmoothL1=0.921 [Epoch 211][Batch 399], Speed: 32.265 samples/sec, CrossEntropy=1.952, SmoothL1=0.928 [Epoch 211][Batch 499], Speed: 304.588 samples/sec, CrossEntropy=1.954, SmoothL1=0.928 [Epoch 211] Training cost: 249.922, CrossEntropy=1.952, SmoothL1=0.928 [Epoch 211] Validation: aeroplane=0.7716921587294187 bicycle=0.8439907255657382 bird=0.7475000598594405 boat=0.6811548689880911 bottle=0.5065466975056212 bus=0.8239485658011112 car=0.8490586388927732 cat=0.8465666373135745 chair=0.5560974181304078 cow=0.810477941945529 diningtable=0.7100912480327504 dog=0.8295532292418876 horse=0.8328703271189406 motorbike=0.8309772759045791 person=0.7835166495165761 pottedplant=0.46067686025765886 sheep=0.7880147311543486 sofa=0.7811167053714414 train=0.8290562749267039 tvmonitor=0.7535244445621155 mAP=0.7518215729409353 [Epoch 212][Batch 99], Speed: 316.772 samples/sec, CrossEntropy=1.948, SmoothL1=0.916 [Epoch 212][Batch 199], Speed: 44.659 samples/sec, CrossEntropy=1.947, SmoothL1=0.933 [Epoch 212][Batch 299], Speed: 32.575 samples/sec, CrossEntropy=1.952, SmoothL1=0.945 [Epoch 212][Batch 399], Speed: 93.503 samples/sec, CrossEntropy=1.947, SmoothL1=0.938 [Epoch 212][Batch 499], Speed: 308.784 samples/sec, CrossEntropy=1.950, SmoothL1=0.937 [Epoch 212] Training cost: 248.735, CrossEntropy=1.950, SmoothL1=0.937 [Epoch 212] Validation: aeroplane=0.7740647847643224 bicycle=0.8442683475206773 bird=0.7586321119154299 boat=0.6623521289428904 bottle=0.515278312330736 bus=0.826771756706903 car=0.8491293106413886 cat=0.8543322774535975 chair=0.5685449127593604 cow=0.802003582950949 diningtable=0.7104909880505 dog=0.8305926214083468 horse=0.8217443453707961 motorbike=0.8292579939617469 person=0.7825309020209616 pottedplant=0.46028738456585255 sheep=0.7791983750948006 sofa=0.7893386918486883 train=0.8319269686766784 tvmonitor=0.7562549317157804 mAP=0.7523500364350203 [Epoch 213][Batch 99], Speed: 78.221 samples/sec, CrossEntropy=1.953, SmoothL1=0.919 [Epoch 213][Batch 199], Speed: 27.222 samples/sec, CrossEntropy=1.960, SmoothL1=0.919 [Epoch 213][Batch 299], Speed: 315.948 samples/sec, CrossEntropy=1.954, SmoothL1=0.924 [Epoch 213][Batch 399], Speed: 33.818 samples/sec, CrossEntropy=1.953, SmoothL1=0.920 [Epoch 213][Batch 499], Speed: 108.736 samples/sec, CrossEntropy=1.954, SmoothL1=0.921 [Epoch 213] Training cost: 250.051, CrossEntropy=1.954, SmoothL1=0.922 [Epoch 213] Validation: aeroplane=0.7656809198325353 bicycle=0.8463946963791183 bird=0.7470384899665374 boat=0.6708844321324585 bottle=0.5129809486856466 bus=0.827563909663564 car=0.845432721431149 cat=0.8517080783383576 chair=0.5659343694305573 cow=0.8062474360681475 diningtable=0.7146905700329045 dog=0.8308618703478003 horse=0.8376604768527608 motorbike=0.8238087569021685 person=0.7830113858832456 pottedplant=0.46774345484493934 sheep=0.7817458780912095 sofa=0.7882392933996833 train=0.8271320777603572 tvmonitor=0.7556814976137206 mAP=0.7525220631828431 [Epoch 214][Batch 99], Speed: 62.507 samples/sec, CrossEntropy=1.988, SmoothL1=0.963 [Epoch 214][Batch 199], Speed: 26.850 samples/sec, CrossEntropy=1.971, SmoothL1=0.948 [Epoch 214][Batch 299], Speed: 315.745 samples/sec, CrossEntropy=1.964, SmoothL1=0.941 [Epoch 214][Batch 399], Speed: 300.689 samples/sec, CrossEntropy=1.949, SmoothL1=0.934 [Epoch 214][Batch 499], Speed: 126.618 samples/sec, CrossEntropy=1.953, SmoothL1=0.933 [Epoch 214] Training cost: 251.517, CrossEntropy=1.954, SmoothL1=0.934 [Epoch 214] Validation: aeroplane=0.765272677253532 bicycle=0.8458719323803572 bird=0.7580296897619591 boat=0.6902122851080523 bottle=0.5096462769569048 bus=0.8303972735584298 car=0.8472141910185839 cat=0.8559386759697752 chair=0.561659646207488 cow=0.7978164343883659 diningtable=0.7052726916443952 dog=0.8282797446857565 horse=0.8405522292124169 motorbike=0.8283427709539085 person=0.780700367620749 pottedplant=0.45919963003576464 sheep=0.7851208706434181 sofa=0.7893924888931102 train=0.8203424024725366 tvmonitor=0.7493713804486415 mAP=0.7524316829607073 [Epoch 215][Batch 99], Speed: 244.064 samples/sec, CrossEntropy=1.966, SmoothL1=0.950 [Epoch 215][Batch 199], Speed: 68.989 samples/sec, CrossEntropy=1.959, SmoothL1=0.934 [Epoch 215][Batch 299], Speed: 247.876 samples/sec, CrossEntropy=1.967, SmoothL1=0.941 [Epoch 215][Batch 399], Speed: 29.335 samples/sec, CrossEntropy=1.970, SmoothL1=0.943 [Epoch 215][Batch 499], Speed: 68.393 samples/sec, CrossEntropy=1.963, SmoothL1=0.941 [Epoch 215] Training cost: 252.587, CrossEntropy=1.963, SmoothL1=0.943 [Epoch 215] Validation: aeroplane=0.7719269419942175 bicycle=0.8409122445891375 bird=0.7594170583433847 boat=0.6812698972731566 bottle=0.5197127891432087 bus=0.8239467850268691 car=0.8509499953218397 cat=0.8493304114851224 chair=0.5650101322726859 cow=0.8059585995868116 diningtable=0.7076684980079034 dog=0.8276811114471969 horse=0.8299186989671676 motorbike=0.8248251840191091 person=0.7825202898043552 pottedplant=0.4634538646580559 sheep=0.7831380179184682 sofa=0.7926892192158856 train=0.8284809521663626 tvmonitor=0.7548109823198469 mAP=0.7531810836780393 [Epoch 216][Batch 99], Speed: 58.488 samples/sec, CrossEntropy=1.946, SmoothL1=0.907 [Epoch 216][Batch 199], Speed: 37.049 samples/sec, CrossEntropy=1.961, SmoothL1=0.931 [Epoch 216][Batch 299], Speed: 284.182 samples/sec, CrossEntropy=1.961, SmoothL1=0.935 [Epoch 216][Batch 399], Speed: 42.324 samples/sec, CrossEntropy=1.967, SmoothL1=0.945 [Epoch 216][Batch 499], Speed: 150.868 samples/sec, CrossEntropy=1.966, SmoothL1=0.941 [Epoch 216] Training cost: 250.781, CrossEntropy=1.966, SmoothL1=0.942 [Epoch 216] Validation: aeroplane=0.7695550702783104 bicycle=0.8432933008188139 bird=0.7561062123061023 boat=0.6806684604607148 bottle=0.5188801701093895 bus=0.8261694216506983 car=0.8468142458443758 cat=0.8499633118901634 chair=0.5647878958284355 cow=0.7994890735388075 diningtable=0.7075239016819046 dog=0.8289443323148447 horse=0.832153777611474 motorbike=0.8293035467500032 person=0.7832047987499663 pottedplant=0.4599266551118699 sheep=0.7874036657567349 sofa=0.7778211930282849 train=0.817765661812805 tvmonitor=0.7524613263840275 mAP=0.7516118010963864 [Epoch 217][Batch 99], Speed: 184.271 samples/sec, CrossEntropy=1.949, SmoothL1=0.943 [Epoch 217][Batch 199], Speed: 57.338 samples/sec, CrossEntropy=1.951, SmoothL1=0.934 [Epoch 217][Batch 299], Speed: 105.935 samples/sec, CrossEntropy=1.969, SmoothL1=0.952 [Epoch 217][Batch 399], Speed: 166.704 samples/sec, CrossEntropy=1.970, SmoothL1=0.947 [Epoch 217][Batch 499], Speed: 53.073 samples/sec, CrossEntropy=1.961, SmoothL1=0.941 [Epoch 217] Training cost: 250.641, CrossEntropy=1.961, SmoothL1=0.940 [Epoch 217] Validation: aeroplane=0.771078514198239 bicycle=0.8448171002387344 bird=0.7567045574764624 boat=0.6793920678744224 bottle=0.5084782866784822 bus=0.8193524049458466 car=0.8494303386693637 cat=0.8509559128864901 chair=0.5623650605949114 cow=0.7951838928410196 diningtable=0.704342876961632 dog=0.8318131803891224 horse=0.8279825519588285 motorbike=0.8327853255011752 person=0.7806169504882147 pottedplant=0.457885826784776 sheep=0.7802477507112887 sofa=0.7847352301186934 train=0.8249971301741275 tvmonitor=0.7556824711346286 mAP=0.7509423715313229 [Epoch 218][Batch 99], Speed: 32.516 samples/sec, CrossEntropy=1.962, SmoothL1=0.961 [Epoch 218][Batch 199], Speed: 29.576 samples/sec, CrossEntropy=1.958, SmoothL1=0.945 [Epoch 218][Batch 299], Speed: 99.328 samples/sec, CrossEntropy=1.960, SmoothL1=0.947 [Epoch 218][Batch 399], Speed: 28.949 samples/sec, CrossEntropy=1.963, SmoothL1=0.948 [Epoch 218][Batch 499], Speed: 59.448 samples/sec, CrossEntropy=1.958, SmoothL1=0.947 [Epoch 218] Training cost: 254.772, CrossEntropy=1.961, SmoothL1=0.950 [Epoch 218] Validation: aeroplane=0.7597990882468907 bicycle=0.8406542882914384 bird=0.7557341986626831 boat=0.6779605035291957 bottle=0.5134432335443481 bus=0.8313822783772997 car=0.8484744799449061 cat=0.8498760897114007 chair=0.558633042984897 cow=0.797499658928961 diningtable=0.7100821834202858 dog=0.828009579968784 horse=0.8288463010437894 motorbike=0.8255818693236509 person=0.7800828829997363 pottedplant=0.45879043840530476 sheep=0.7873361915668456 sofa=0.7918536531367124 train=0.8217533841357072 tvmonitor=0.7548362351577815 mAP=0.751031479069031 [Epoch 219][Batch 99], Speed: 30.655 samples/sec, CrossEntropy=1.983, SmoothL1=0.959 [Epoch 219][Batch 199], Speed: 302.826 samples/sec, CrossEntropy=1.978, SmoothL1=0.959 [Epoch 219][Batch 299], Speed: 313.898 samples/sec, CrossEntropy=1.968, SmoothL1=0.948 [Epoch 219][Batch 399], Speed: 87.158 samples/sec, CrossEntropy=1.956, SmoothL1=0.942 [Epoch 219][Batch 499], Speed: 71.803 samples/sec, CrossEntropy=1.955, SmoothL1=0.939 [Epoch 219] Training cost: 251.045, CrossEntropy=1.957, SmoothL1=0.940 [Epoch 219] Validation: aeroplane=0.7664543199120339 bicycle=0.8453158926916168 bird=0.7584778197407405 boat=0.6731231522121 bottle=0.5082477369229295 bus=0.8279860525159287 car=0.8495199235890956 cat=0.8546372851469666 chair=0.5633442447823622 cow=0.7996215373192821 diningtable=0.710578412827148 dog=0.8293623187279694 horse=0.8308811313839055 motorbike=0.8402677725459886 person=0.7815506624631301 pottedplant=0.4632634009595101 sheep=0.7836569289756795 sofa=0.783732083774263 train=0.8239224112676702 tvmonitor=0.7562776936173479 mAP=0.7525110390687832 [Epoch 220][Batch 99], Speed: 121.490 samples/sec, CrossEntropy=1.955, SmoothL1=0.950 [Epoch 220][Batch 199], Speed: 310.589 samples/sec, CrossEntropy=1.962, SmoothL1=0.936 [Epoch 220][Batch 299], Speed: 315.450 samples/sec, CrossEntropy=1.968, SmoothL1=0.940 [Epoch 220][Batch 399], Speed: 127.268 samples/sec, CrossEntropy=1.967, SmoothL1=0.941 [Epoch 220][Batch 499], Speed: 316.289 samples/sec, CrossEntropy=1.961, SmoothL1=0.938 [Epoch 220] Training cost: 249.526, CrossEntropy=1.960, SmoothL1=0.936 [Epoch 220] Validation: aeroplane=0.7644661456947879 bicycle=0.8394340061443832 bird=0.7621515962718244 boat=0.6669651787245987 bottle=0.5116036712541566 bus=0.8316800438749417 car=0.84893664607728 cat=0.8539500978029461 chair=0.559280117065903 cow=0.7967115103627332 diningtable=0.7068730263257669 dog=0.828940113239431 horse=0.8348108205608695 motorbike=0.8269276424029695 person=0.781325845820577 pottedplant=0.46159382498755946 sheep=0.7769786508394839 sofa=0.7922044485313284 train=0.8267849446657106 tvmonitor=0.7552935828378049 mAP=0.7513455956742527 [Epoch 221][Batch 99], Speed: 90.787 samples/sec, CrossEntropy=1.977, SmoothL1=0.934 [Epoch 221][Batch 199], Speed: 171.287 samples/sec, CrossEntropy=1.969, SmoothL1=0.945 [Epoch 221][Batch 299], Speed: 276.927 samples/sec, CrossEntropy=1.956, SmoothL1=0.931 [Epoch 221][Batch 399], Speed: 25.880 samples/sec, CrossEntropy=1.959, SmoothL1=0.939 [Epoch 221][Batch 499], Speed: 127.634 samples/sec, CrossEntropy=1.957, SmoothL1=0.935 [Epoch 221] Training cost: 251.943, CrossEntropy=1.959, SmoothL1=0.936 [Epoch 221] Validation: aeroplane=0.7750829517481632 bicycle=0.8486095919741178 bird=0.7624554879496158 boat=0.668389843271902 bottle=0.5150139971101498 bus=0.8239608156786394 car=0.8488090630530974 cat=0.8499504950750879 chair=0.5657334924086245 cow=0.7993537977461601 diningtable=0.7056602727396001 dog=0.8298250059755831 horse=0.8335587249836721 motorbike=0.8231985082282278 person=0.7779783862132469 pottedplant=0.46391955564210363 sheep=0.7799454447388079 sofa=0.7859100649059613 train=0.8261043548626646 tvmonitor=0.7585828042992324 mAP=0.7521021329302329 [Epoch 222][Batch 99], Speed: 146.706 samples/sec, CrossEntropy=1.977, SmoothL1=0.951 [Epoch 222][Batch 199], Speed: 25.808 samples/sec, CrossEntropy=1.963, SmoothL1=0.946 [Epoch 222][Batch 299], Speed: 289.895 samples/sec, CrossEntropy=1.960, SmoothL1=0.944 [Epoch 222][Batch 399], Speed: 322.160 samples/sec, CrossEntropy=1.957, SmoothL1=0.940 [Epoch 222][Batch 499], Speed: 43.064 samples/sec, CrossEntropy=1.955, SmoothL1=0.937 [Epoch 222] Training cost: 250.501, CrossEntropy=1.955, SmoothL1=0.936 [Epoch 222] Validation: aeroplane=0.7707224751848076 bicycle=0.8475799720590993 bird=0.7563252778625644 boat=0.6738126890033066 bottle=0.5119540700558481 bus=0.8261294419724524 car=0.8489088398899695 cat=0.8539746454617572 chair=0.5642781877241089 cow=0.7858704677854832 diningtable=0.706503384254097 dog=0.8276800151200011 horse=0.829119195811532 motorbike=0.8301678057164213 person=0.7795810894286626 pottedplant=0.45645480154287943 sheep=0.7788779548850294 sofa=0.7884149393851322 train=0.825588997375949 tvmonitor=0.7598415934829231 mAP=0.7510892922001012 [Epoch 223][Batch 99], Speed: 116.554 samples/sec, CrossEntropy=1.949, SmoothL1=0.942 [Epoch 223][Batch 199], Speed: 313.174 samples/sec, CrossEntropy=1.953, SmoothL1=0.934 [Epoch 223][Batch 299], Speed: 71.754 samples/sec, CrossEntropy=1.956, SmoothL1=0.936 [Epoch 223][Batch 399], Speed: 33.808 samples/sec, CrossEntropy=1.957, SmoothL1=0.941 [Epoch 223][Batch 499], Speed: 312.653 samples/sec, CrossEntropy=1.958, SmoothL1=0.944 [Epoch 223] Training cost: 251.358, CrossEntropy=1.956, SmoothL1=0.943 [Epoch 223] Validation: aeroplane=0.7701412882950529 bicycle=0.8468115514530059 bird=0.7572934355312754 boat=0.6695460220685625 bottle=0.508070148996516 bus=0.8278079537489355 car=0.8512943831628845 cat=0.8525333718467384 chair=0.5650056180690954 cow=0.7848212361346103 diningtable=0.712273381446026 dog=0.824783178025594 horse=0.8333583416707158 motorbike=0.8396796469204582 person=0.7811330337831498 pottedplant=0.4622624229875368 sheep=0.7856918902426269 sofa=0.7846076843568731 train=0.8284680795111606 tvmonitor=0.7574980092278797 mAP=0.7521540338739349 [Epoch 224][Batch 99], Speed: 44.884 samples/sec, CrossEntropy=1.953, SmoothL1=0.933 [Epoch 224][Batch 199], Speed: 49.947 samples/sec, CrossEntropy=1.968, SmoothL1=0.940 [Epoch 224][Batch 299], Speed: 233.032 samples/sec, CrossEntropy=1.955, SmoothL1=0.935 [Epoch 224][Batch 399], Speed: 304.234 samples/sec, CrossEntropy=1.955, SmoothL1=0.935 [Epoch 224][Batch 499], Speed: 45.327 samples/sec, CrossEntropy=1.954, SmoothL1=0.933 [Epoch 224] Training cost: 250.039, CrossEntropy=1.958, SmoothL1=0.936 [Epoch 224] Validation: aeroplane=0.7676893079808212 bicycle=0.8450332963211419 bird=0.7627345571011216 boat=0.682324468662193 bottle=0.5086362618687171 bus=0.8272063877273443 car=0.8473882815608609 cat=0.8510036987865739 chair=0.5650997250199682 cow=0.7955275903940637 diningtable=0.7063298417473234 dog=0.8338739616004172 horse=0.8373101862283422 motorbike=0.8378930728757163 person=0.7821716994725718 pottedplant=0.46353056988803476 sheep=0.783239971519647 sofa=0.7852407595807764 train=0.8317877305073511 tvmonitor=0.7527591719234137 mAP=0.7533390270383199 [Epoch 225][Batch 99], Speed: 97.435 samples/sec, CrossEntropy=1.909, SmoothL1=0.894 [Epoch 225][Batch 199], Speed: 41.022 samples/sec, CrossEntropy=1.919, SmoothL1=0.904 [Epoch 225][Batch 299], Speed: 61.541 samples/sec, CrossEntropy=1.930, SmoothL1=0.908 [Epoch 225][Batch 399], Speed: 185.842 samples/sec, CrossEntropy=1.939, SmoothL1=0.918 [Epoch 225][Batch 499], Speed: 99.430 samples/sec, CrossEntropy=1.943, SmoothL1=0.923 [Epoch 225] Training cost: 248.132, CrossEntropy=1.944, SmoothL1=0.925 [Epoch 225] Validation: aeroplane=0.7579264286993974 bicycle=0.8441925407257996 bird=0.7500247430665699 boat=0.6676739623898255 bottle=0.5106741680584037 bus=0.8293987095993602 car=0.8489283374118849 cat=0.8539400339472357 chair=0.5591303255219189 cow=0.7910061371310151 diningtable=0.7033569898597662 dog=0.8300752913261321 horse=0.8266094350330689 motorbike=0.8408670398296824 person=0.7807578893503277 pottedplant=0.4733633565862899 sheep=0.7841615344897573 sofa=0.777293936385197 train=0.8257792029456679 tvmonitor=0.7548087986855482 mAP=0.7504984430521424 [Epoch 226][Batch 99], Speed: 30.524 samples/sec, CrossEntropy=1.959, SmoothL1=0.950 [Epoch 226][Batch 199], Speed: 107.293 samples/sec, CrossEntropy=1.966, SmoothL1=0.938 [Epoch 226][Batch 299], Speed: 47.721 samples/sec, CrossEntropy=1.962, SmoothL1=0.936 [Epoch 226][Batch 399], Speed: 132.938 samples/sec, CrossEntropy=1.957, SmoothL1=0.936 [Epoch 226][Batch 499], Speed: 38.412 samples/sec, CrossEntropy=1.955, SmoothL1=0.935 [Epoch 226] Training cost: 250.297, CrossEntropy=1.953, SmoothL1=0.933 [Epoch 226] Validation: aeroplane=0.765733904025803 bicycle=0.8498504134175954 bird=0.7604994230045587 boat=0.6769829521150762 bottle=0.5093500455511131 bus=0.8300342044149117 car=0.848375358465007 cat=0.8515132297419666 chair=0.5660625648930379 cow=0.7948281162429153 diningtable=0.7083916813239892 dog=0.8241690325232832 horse=0.8250617469523656 motorbike=0.8361916507279948 person=0.782830181546372 pottedplant=0.46411237454915866 sheep=0.7802304895338801 sofa=0.785252066411188 train=0.8294462010802423 tvmonitor=0.756530465596454 mAP=0.7522723051058456 [Epoch 227][Batch 99], Speed: 36.409 samples/sec, CrossEntropy=1.949, SmoothL1=0.941 [Epoch 227][Batch 199], Speed: 309.211 samples/sec, CrossEntropy=1.948, SmoothL1=0.929 [Epoch 227][Batch 299], Speed: 25.216 samples/sec, CrossEntropy=1.945, SmoothL1=0.923 [Epoch 227][Batch 399], Speed: 317.060 samples/sec, CrossEntropy=1.951, SmoothL1=0.928 [Epoch 227][Batch 499], Speed: 52.282 samples/sec, CrossEntropy=1.952, SmoothL1=0.934 [Epoch 227] Training cost: 250.721, CrossEntropy=1.953, SmoothL1=0.933 [Epoch 227] Validation: aeroplane=0.763529039563155 bicycle=0.8442051672162921 bird=0.7569863618920358 boat=0.6754447297453884 bottle=0.5076187732369143 bus=0.8272201034393293 car=0.8485030010134121 cat=0.8516888125210799 chair=0.5619959973954198 cow=0.7813843915159959 diningtable=0.7081014524396068 dog=0.8249068158583456 horse=0.8343095435887227 motorbike=0.830399766779506 person=0.7830221735379289 pottedplant=0.4664117213519824 sheep=0.7865336397860219 sofa=0.7827995861700867 train=0.8303790455371622 tvmonitor=0.7537813040376098 mAP=0.7509610713312999 [Epoch 228][Batch 99], Speed: 307.990 samples/sec, CrossEntropy=1.958, SmoothL1=0.962 [Epoch 228][Batch 199], Speed: 206.416 samples/sec, CrossEntropy=1.951, SmoothL1=0.940 [Epoch 228][Batch 299], Speed: 20.998 samples/sec, CrossEntropy=1.952, SmoothL1=0.945 [Epoch 228][Batch 399], Speed: 25.442 samples/sec, CrossEntropy=1.948, SmoothL1=0.938 [Epoch 228][Batch 499], Speed: 92.317 samples/sec, CrossEntropy=1.952, SmoothL1=0.938 [Epoch 228] Training cost: 253.600, CrossEntropy=1.951, SmoothL1=0.936 [Epoch 228] Validation: aeroplane=0.7763304701255955 bicycle=0.8428528564717895 bird=0.7542024953409545 boat=0.6703158303158189 bottle=0.5171957152722516 bus=0.8253928432868602 car=0.847467591569904 cat=0.8488470056650566 chair=0.5585444663236958 cow=0.8056090515939869 diningtable=0.7094310743746692 dog=0.8268908322499783 horse=0.8379705277995089 motorbike=0.838069433393493 person=0.7825866407281018 pottedplant=0.4606842740365003 sheep=0.7874276118209935 sofa=0.7868796731717622 train=0.8209329818980202 tvmonitor=0.7567771065228842 mAP=0.7527204240980913 [Epoch 229][Batch 99], Speed: 319.085 samples/sec, CrossEntropy=1.952, SmoothL1=0.955 [Epoch 229][Batch 199], Speed: 261.243 samples/sec, CrossEntropy=1.947, SmoothL1=0.944 [Epoch 229][Batch 299], Speed: 96.241 samples/sec, CrossEntropy=1.952, SmoothL1=0.940 [Epoch 229][Batch 399], Speed: 40.594 samples/sec, CrossEntropy=1.952, SmoothL1=0.941 [Epoch 229][Batch 499], Speed: 316.550 samples/sec, CrossEntropy=1.953, SmoothL1=0.935 [Epoch 229] Training cost: 252.313, CrossEntropy=1.954, SmoothL1=0.934 [Epoch 229] Validation: aeroplane=0.7759124063663593 bicycle=0.8416753056589333 bird=0.7511807645329841 boat=0.6639973733188251 bottle=0.5058687742848834 bus=0.8243515610202953 car=0.848604006465523 cat=0.8498231443293376 chair=0.5671069556686326 cow=0.7963657145753473 diningtable=0.713232340778909 dog=0.834705354610112 horse=0.8334147092837572 motorbike=0.8302228719807202 person=0.781414609985636 pottedplant=0.4656314021896151 sheep=0.7863402600467309 sofa=0.785973180788663 train=0.8304205411332305 tvmonitor=0.7522938927698282 mAP=0.7519267584894161 [Epoch 230][Batch 99], Speed: 36.233 samples/sec, CrossEntropy=1.942, SmoothL1=0.927 [Epoch 230][Batch 199], Speed: 40.435 samples/sec, CrossEntropy=1.943, SmoothL1=0.934 [Epoch 230][Batch 299], Speed: 173.087 samples/sec, CrossEntropy=1.949, SmoothL1=0.939 [Epoch 230][Batch 399], Speed: 22.853 samples/sec, CrossEntropy=1.957, SmoothL1=0.940 [Epoch 230][Batch 499], Speed: 74.820 samples/sec, CrossEntropy=1.953, SmoothL1=0.941 [Epoch 230] Training cost: 250.232, CrossEntropy=1.953, SmoothL1=0.940 [Epoch 230] Validation: aeroplane=0.774615756773202 bicycle=0.8421402348067689 bird=0.7565913652413963 boat=0.673110049570087 bottle=0.517038470467912 bus=0.8316823135895024 car=0.8492019858839692 cat=0.8516444313609953 chair=0.5620891271823449 cow=0.7963362494394707 diningtable=0.7094910920474596 dog=0.8282890781332393 horse=0.8239481727525755 motorbike=0.8364043796124366 person=0.7820278212410975 pottedplant=0.4584684777608271 sheep=0.7759578261962341 sofa=0.7850053429000797 train=0.8249114447620076 tvmonitor=0.7595585206608709 mAP=0.7519256070191238 [Epoch 231][Batch 99], Speed: 18.537 samples/sec, CrossEntropy=1.961, SmoothL1=0.947 [Epoch 231][Batch 199], Speed: 273.455 samples/sec, CrossEntropy=1.951, SmoothL1=0.946 [Epoch 231][Batch 299], Speed: 62.143 samples/sec, CrossEntropy=1.952, SmoothL1=0.946 [Epoch 231][Batch 399], Speed: 29.042 samples/sec, CrossEntropy=1.956, SmoothL1=0.947 [Epoch 231][Batch 499], Speed: 79.408 samples/sec, CrossEntropy=1.960, SmoothL1=0.943 [Epoch 231] Training cost: 249.963, CrossEntropy=1.958, SmoothL1=0.942 [Epoch 231] Validation: aeroplane=0.7648513044337543 bicycle=0.8472695195135368 bird=0.7636188634878169 boat=0.6723300832167646 bottle=0.5146383429279069 bus=0.822971299829156 car=0.8480110850982323 cat=0.8525330244438043 chair=0.5645444607230616 cow=0.7924730034731216 diningtable=0.7085459211806876 dog=0.831745750997315 horse=0.8353533904075706 motorbike=0.8385661256319038 person=0.7798408050318517 pottedplant=0.4550913714621281 sheep=0.7826963116884431 sofa=0.7891288384723149 train=0.8253306353131421 tvmonitor=0.7576290778302672 mAP=0.7523584607581391 [Epoch 232][Batch 99], Speed: 15.528 samples/sec, CrossEntropy=1.952, SmoothL1=0.920 [Epoch 232][Batch 199], Speed: 36.472 samples/sec, CrossEntropy=1.968, SmoothL1=0.933 [Epoch 232][Batch 299], Speed: 29.541 samples/sec, CrossEntropy=1.967, SmoothL1=0.940 [Epoch 232][Batch 399], Speed: 313.003 samples/sec, CrossEntropy=1.961, SmoothL1=0.939 [Epoch 232][Batch 499], Speed: 41.716 samples/sec, CrossEntropy=1.959, SmoothL1=0.934 [Epoch 232] Training cost: 250.059, CrossEntropy=1.959, SmoothL1=0.934 [Epoch 232] Validation: aeroplane=0.7644905245060424 bicycle=0.8444678295825567 bird=0.756941200382117 boat=0.6875095763468596 bottle=0.5137777297281081 bus=0.823797398119876 car=0.8483517910727012 cat=0.8546565197234299 chair=0.5648438977137081 cow=0.7994624070450146 diningtable=0.7134364028282157 dog=0.8286111859527548 horse=0.8320350520759563 motorbike=0.8424321401175678 person=0.7795029939157524 pottedplant=0.4688549154260403 sheep=0.7898862926675565 sofa=0.7872200323055509 train=0.8200884955749713 tvmonitor=0.756418698793323 mAP=0.7538392541939052 [Epoch 233][Batch 99], Speed: 26.825 samples/sec, CrossEntropy=1.929, SmoothL1=0.916 [Epoch 233][Batch 199], Speed: 77.510 samples/sec, CrossEntropy=1.937, SmoothL1=0.924 [Epoch 233][Batch 299], Speed: 24.334 samples/sec, CrossEntropy=1.933, SmoothL1=0.931 [Epoch 233][Batch 399], Speed: 45.863 samples/sec, CrossEntropy=1.935, SmoothL1=0.927 [Epoch 233][Batch 499], Speed: 51.315 samples/sec, CrossEntropy=1.945, SmoothL1=0.931 [Epoch 233] Training cost: 250.050, CrossEntropy=1.945, SmoothL1=0.931 [Epoch 233] Validation: aeroplane=0.7748480367394126 bicycle=0.8438859328887484 bird=0.7606262904980713 boat=0.6785928709276907 bottle=0.5155659842629223 bus=0.8272575619994352 car=0.845547514732796 cat=0.8484332625156201 chair=0.5603466175735768 cow=0.7969636725682179 diningtable=0.7017991971104446 dog=0.8261961211318761 horse=0.8340612897760455 motorbike=0.8230240550475294 person=0.779655413644995 pottedplant=0.4683108946142384 sheep=0.7863310524124707 sofa=0.7787924040535142 train=0.8301444871244311 tvmonitor=0.7571363646790051 mAP=0.7518759512150519 [Epoch 234][Batch 99], Speed: 41.605 samples/sec, CrossEntropy=1.942, SmoothL1=0.934 [Epoch 234][Batch 199], Speed: 184.897 samples/sec, CrossEntropy=1.949, SmoothL1=0.944 [Epoch 234][Batch 299], Speed: 50.201 samples/sec, CrossEntropy=1.950, SmoothL1=0.935 [Epoch 234][Batch 399], Speed: 55.088 samples/sec, CrossEntropy=1.950, SmoothL1=0.936 [Epoch 234][Batch 499], Speed: 99.360 samples/sec, CrossEntropy=1.953, SmoothL1=0.937 [Epoch 234] Training cost: 250.171, CrossEntropy=1.952, SmoothL1=0.937 [Epoch 234] Validation: aeroplane=0.7570939364633315 bicycle=0.8406938518255362 bird=0.7565312150260405 boat=0.6745134678314757 bottle=0.507231464373786 bus=0.8198437778913741 car=0.8459269327832675 cat=0.8518558142707855 chair=0.5597761405599748 cow=0.8060153283113972 diningtable=0.7036526165214034 dog=0.8287971318308085 horse=0.8335997476286707 motorbike=0.8383576424670012 person=0.7821857830212802 pottedplant=0.4708396649628486 sheep=0.7792083368373847 sofa=0.7873957997774284 train=0.8271217179860355 tvmonitor=0.7530260377480388 mAP=0.7511833204058934 [Epoch 235][Batch 99], Speed: 203.033 samples/sec, CrossEntropy=1.991, SmoothL1=0.958 [Epoch 235][Batch 199], Speed: 311.137 samples/sec, CrossEntropy=1.972, SmoothL1=0.938 [Epoch 235][Batch 299], Speed: 105.272 samples/sec, CrossEntropy=1.971, SmoothL1=0.928 [Epoch 235][Batch 399], Speed: 76.674 samples/sec, CrossEntropy=1.962, SmoothL1=0.933 [Epoch 235][Batch 499], Speed: 317.672 samples/sec, CrossEntropy=1.962, SmoothL1=0.931 [Epoch 235] Training cost: 249.006, CrossEntropy=1.963, SmoothL1=0.932 [Epoch 235] Validation: aeroplane=0.7690518035027737 bicycle=0.8485587220093633 bird=0.7652809947333712 boat=0.6748740705130188 bottle=0.5165516535672752 bus=0.824004340463782 car=0.8491573076366932 cat=0.8534789444884262 chair=0.5583173890778865 cow=0.7905038237200273 diningtable=0.7064846459755749 dog=0.8305708178333181 horse=0.8273184135987094 motorbike=0.8294765970365827 person=0.783687467016446 pottedplant=0.4626456026496851 sheep=0.7796034464956256 sofa=0.7837822933742353 train=0.8271853901722879 tvmonitor=0.7600675224694976 mAP=0.752030062316729 [Epoch 236][Batch 99], Speed: 100.446 samples/sec, CrossEntropy=1.947, SmoothL1=0.930 [Epoch 236][Batch 199], Speed: 36.243 samples/sec, CrossEntropy=1.932, SmoothL1=0.923 [Epoch 236][Batch 299], Speed: 159.666 samples/sec, CrossEntropy=1.942, SmoothL1=0.924 [Epoch 236][Batch 399], Speed: 41.647 samples/sec, CrossEntropy=1.937, SmoothL1=0.924 [Epoch 236][Batch 499], Speed: 230.503 samples/sec, CrossEntropy=1.937, SmoothL1=0.925 [Epoch 236] Training cost: 247.489, CrossEntropy=1.937, SmoothL1=0.924 [Epoch 236] Validation: aeroplane=0.7680170589348736 bicycle=0.8474684459557724 bird=0.7498791264483597 boat=0.6744549706071626 bottle=0.5096749993035498 bus=0.8253679513484727 car=0.8485248021157538 cat=0.8510866588031059 chair=0.556370888479143 cow=0.8044370753676746 diningtable=0.7035005518625717 dog=0.8317022993077827 horse=0.8337612789312558 motorbike=0.8332621145829318 person=0.7802204453224736 pottedplant=0.4690834709124556 sheep=0.7850777672225816 sofa=0.785012960782539 train=0.8212229911932364 tvmonitor=0.7527888275918381 mAP=0.7515457342536768 [Epoch 237][Batch 99], Speed: 25.029 samples/sec, CrossEntropy=1.933, SmoothL1=0.942 [Epoch 237][Batch 199], Speed: 30.458 samples/sec, CrossEntropy=1.946, SmoothL1=0.935 [Epoch 237][Batch 299], Speed: 79.380 samples/sec, CrossEntropy=1.949, SmoothL1=0.933 [Epoch 237][Batch 399], Speed: 149.224 samples/sec, CrossEntropy=1.951, SmoothL1=0.930 [Epoch 237][Batch 499], Speed: 37.618 samples/sec, CrossEntropy=1.951, SmoothL1=0.932 [Epoch 237] Training cost: 252.701, CrossEntropy=1.950, SmoothL1=0.932 [Epoch 237] Validation: aeroplane=0.7843281247387093 bicycle=0.8454512806591516 bird=0.7537597141976597 boat=0.6795166855815153 bottle=0.515610949059884 bus=0.8251782583832863 car=0.8492106658042203 cat=0.8513510092815011 chair=0.5563263937388414 cow=0.7848970181349889 diningtable=0.7106691067252893 dog=0.8293002368622294 horse=0.8372282306546538 motorbike=0.8323753897395483 person=0.7829523710364481 pottedplant=0.47151477854342866 sheep=0.7885317005109437 sofa=0.7869989369558422 train=0.8267574154096099 tvmonitor=0.7561605629254744 mAP=0.7534059414471613 [Epoch 238][Batch 99], Speed: 318.481 samples/sec, CrossEntropy=1.913, SmoothL1=0.910 [Epoch 238][Batch 199], Speed: 36.098 samples/sec, CrossEntropy=1.935, SmoothL1=0.911 [Epoch 238][Batch 299], Speed: 102.460 samples/sec, CrossEntropy=1.940, SmoothL1=0.925 [Epoch 238][Batch 399], Speed: 275.873 samples/sec, CrossEntropy=1.936, SmoothL1=0.925 [Epoch 238][Batch 499], Speed: 40.524 samples/sec, CrossEntropy=1.946, SmoothL1=0.926 [Epoch 238] Training cost: 252.524, CrossEntropy=1.948, SmoothL1=0.928 [Epoch 238] Validation: aeroplane=0.762392081485903 bicycle=0.8443624980265876 bird=0.7578287392823022 boat=0.6767923212741636 bottle=0.5188950065479817 bus=0.8221200849729418 car=0.8494198703848383 cat=0.8497825190915382 chair=0.5587586003873362 cow=0.794972524325399 diningtable=0.7092051155772081 dog=0.8272237049107708 horse=0.8346498701000196 motorbike=0.8390678169163761 person=0.7828871918255915 pottedplant=0.46502432931650467 sheep=0.7877412024185779 sofa=0.7831142446476469 train=0.829281657802901 tvmonitor=0.7558220492687954 mAP=0.7524670714281692 [Epoch 239][Batch 99], Speed: 305.801 samples/sec, CrossEntropy=1.976, SmoothL1=0.933 [Epoch 239][Batch 199], Speed: 177.035 samples/sec, CrossEntropy=1.972, SmoothL1=0.945 [Epoch 239][Batch 299], Speed: 307.040 samples/sec, CrossEntropy=1.969, SmoothL1=0.944 [Epoch 239][Batch 399], Speed: 35.809 samples/sec, CrossEntropy=1.968, SmoothL1=0.947 [Epoch 239][Batch 499], Speed: 47.998 samples/sec, CrossEntropy=1.962, SmoothL1=0.944 [Epoch 239] Training cost: 253.395, CrossEntropy=1.961, SmoothL1=0.942 [Epoch 239] Validation: aeroplane=0.7634164065973781 bicycle=0.8443079737676508 bird=0.7524029462876797 boat=0.6757558535420083 bottle=0.5142799706161726 bus=0.8220795807597131 car=0.8500272566381356 cat=0.8468661507400816 chair=0.5667644151072537 cow=0.8049652928651222 diningtable=0.7075867070254437 dog=0.8254995776453301 horse=0.8322984539840634 motorbike=0.8357582730561073 person=0.7828570305531277 pottedplant=0.4660361080155313 sheep=0.7855848542480421 sofa=0.7734932826135645 train=0.8330232677584053 tvmonitor=0.7521022110440571 mAP=0.7517552806432435