nextvit_base_in1k_384.log

Epoch: [0]  [   0/1251]  eta: 7:16:38  lr: 0.000003  loss: 4.0093 (4.0093)  time: 20.9420  data: 5.9892  max mem: 36795
Epoch: [0]  [  10/1251]  eta: 0:53:17  lr: 0.000003  loss: 3.2912 (3.1386)  time: 2.5769  data: 0.5447  max mem: 36795
Epoch: [0]  [  20/1251]  eta: 0:34:06  lr: 0.000003  loss: 3.2855 (3.1357)  time: 0.6989  data: 0.0002  max mem: 36795
Epoch: [0]  [  30/1251]  eta: 0:27:14  lr: 0.000003  loss: 3.0858 (3.1004)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [0]  [  40/1251]  eta: 0:23:40  lr: 0.000003  loss: 3.1368 (3.0601)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [0]  [  50/1251]  eta: 0:21:26  lr: 0.000003  loss: 3.0373 (3.0434)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [0]  [  60/1251]  eta: 0:19:55  lr: 0.000003  loss: 3.0144 (3.0271)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [0]  [  70/1251]  eta: 0:18:47  lr: 0.000003  loss: 3.0667 (3.0209)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [0]  [  80/1251]  eta: 0:17:55  lr: 0.000003  loss: 3.0585 (3.0061)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [0]  [  90/1251]  eta: 0:17:12  lr: 0.000003  loss: 3.1719 (3.0277)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [0]  [ 100/1251]  eta: 0:16:37  lr: 0.000003  loss: 3.1719 (3.0158)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [0]  [ 110/1251]  eta: 0:16:07  lr: 0.000003  loss: 3.1939 (3.0180)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [0]  [ 120/1251]  eta: 0:15:41  lr: 0.000003  loss: 3.0523 (3.0020)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [0]  [ 130/1251]  eta: 0:15:18  lr: 0.000003  loss: 2.9310 (2.9850)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [0]  [ 140/1251]  eta: 0:14:57  lr: 0.000003  loss: 2.9988 (2.9850)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [0]  [ 150/1251]  eta: 0:14:38  lr: 0.000003  loss: 2.9988 (2.9742)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [0]  [ 160/1251]  eta: 0:14:20  lr: 0.000003  loss: 2.9200 (2.9691)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [0]  [ 170/1251]  eta: 0:14:04  lr: 0.000003  loss: 2.8661 (2.9542)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [0]  [ 180/1251]  eta: 0:13:49  lr: 0.000003  loss: 2.7256 (2.9422)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [0]  [ 190/1251]  eta: 0:13:35  lr: 0.000003  loss: 2.7048 (2.9224)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [0]  [ 200/1251]  eta: 0:13:21  lr: 0.000003  loss: 2.8019 (2.9259)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [0]  [ 210/1251]  eta: 0:13:09  lr: 0.000003  loss: 3.0370 (2.9194)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [0]  [ 220/1251]  eta: 0:12:56  lr: 0.000003  loss: 2.8238 (2.9111)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [0]  [ 230/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.8238 (2.9116)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [0]  [ 240/1251]  eta: 0:12:33  lr: 0.000003  loss: 2.8316 (2.9036)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [0]  [ 250/1251]  eta: 0:12:22  lr: 0.000003  loss: 2.9221 (2.8992)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [0]  [ 260/1251]  eta: 0:12:12  lr: 0.000003  loss: 2.7511 (2.8867)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [0]  [ 270/1251]  eta: 0:12:01  lr: 0.000003  loss: 2.6231 (2.8771)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [0]  [ 280/1251]  eta: 0:11:51  lr: 0.000003  loss: 2.8015 (2.8783)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [0]  [ 290/1251]  eta: 0:11:42  lr: 0.000003  loss: 2.7782 (2.8717)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [0]  [ 300/1251]  eta: 0:11:32  lr: 0.000003  loss: 2.7016 (2.8668)  time: 0.6600  data: 0.0002  max mem: 36795
Epoch: [0]  [ 310/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.7210 (2.8677)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [0]  [ 320/1251]  eta: 0:11:13  lr: 0.000003  loss: 2.8929 (2.8663)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [0]  [ 330/1251]  eta: 0:11:04  lr: 0.000003  loss: 2.8508 (2.8550)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [0]  [ 340/1251]  eta: 0:10:55  lr: 0.000003  loss: 2.9434 (2.8605)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [0]  [ 350/1251]  eta: 0:10:47  lr: 0.000003  loss: 3.0292 (2.8575)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [0]  [ 360/1251]  eta: 0:10:38  lr: 0.000003  loss: 3.0292 (2.8573)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [0]  [ 370/1251]  eta: 0:10:29  lr: 0.000003  loss: 2.8218 (2.8547)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [0]  [ 380/1251]  eta: 0:10:21  lr: 0.000003  loss: 2.8848 (2.8564)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [0]  [ 390/1251]  eta: 0:10:13  lr: 0.000003  loss: 2.7887 (2.8457)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [0]  [ 400/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.4866 (2.8407)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [0]  [ 410/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.8041 (2.8386)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [0]  [ 420/1251]  eta: 0:09:48  lr: 0.000003  loss: 2.9110 (2.8417)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [0]  [ 430/1251]  eta: 0:09:40  lr: 0.000003  loss: 3.0516 (2.8443)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [0]  [ 440/1251]  eta: 0:09:32  lr: 0.000003  loss: 3.0028 (2.8438)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [0]  [ 450/1251]  eta: 0:09:24  lr: 0.000003  loss: 2.8242 (2.8400)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [0]  [ 460/1251]  eta: 0:09:16  lr: 0.000003  loss: 2.5513 (2.8338)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [0]  [ 470/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.7736 (2.8354)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [0]  [ 480/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.8758 (2.8355)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [0]  [ 490/1251]  eta: 0:08:53  lr: 0.000003  loss: 2.8292 (2.8357)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [0]  [ 500/1251]  eta: 0:08:45  lr: 0.000003  loss: 2.8709 (2.8371)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [0]  [ 510/1251]  eta: 0:08:38  lr: 0.000003  loss: 2.8575 (2.8355)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [0]  [ 520/1251]  eta: 0:08:30  lr: 0.000003  loss: 2.8219 (2.8311)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [0]  [ 530/1251]  eta: 0:08:23  lr: 0.000003  loss: 2.6981 (2.8250)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [0]  [ 540/1251]  eta: 0:08:15  lr: 0.000003  loss: 2.8106 (2.8273)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [0]  [ 550/1251]  eta: 0:08:08  lr: 0.000003  loss: 2.7418 (2.8193)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [0]  [ 560/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.5391 (2.8187)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [0]  [ 570/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.7399 (2.8186)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [0]  [ 580/1251]  eta: 0:07:45  lr: 0.000003  loss: 2.6837 (2.8150)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [0]  [ 590/1251]  eta: 0:07:38  lr: 0.000003  loss: 2.6878 (2.8149)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [0]  [ 600/1251]  eta: 0:07:31  lr: 0.000003  loss: 2.7478 (2.8117)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [0]  [ 610/1251]  eta: 0:07:23  lr: 0.000003  loss: 2.7007 (2.8099)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [0]  [ 620/1251]  eta: 0:07:16  lr: 0.000003  loss: 2.7702 (2.8081)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [0]  [ 630/1251]  eta: 0:07:09  lr: 0.000003  loss: 2.8988 (2.8094)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [0]  [ 640/1251]  eta: 0:07:02  lr: 0.000003  loss: 2.8783 (2.8096)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [0]  [ 650/1251]  eta: 0:06:54  lr: 0.000003  loss: 2.7489 (2.8083)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [0]  [ 660/1251]  eta: 0:06:47  lr: 0.000003  loss: 2.7981 (2.8078)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [0]  [ 670/1251]  eta: 0:06:40  lr: 0.000003  loss: 2.7981 (2.8035)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [0]  [ 680/1251]  eta: 0:06:33  lr: 0.000003  loss: 2.2856 (2.7995)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [0]  [ 690/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.5280 (2.7977)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [0]  [ 700/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.6482 (2.7935)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [0]  [ 710/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.6868 (2.7914)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [0]  [ 720/1251]  eta: 0:06:04  lr: 0.000003  loss: 2.8010 (2.7932)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [0]  [ 730/1251]  eta: 0:05:57  lr: 0.000003  loss: 2.8909 (2.7941)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [0]  [ 740/1251]  eta: 0:05:50  lr: 0.000003  loss: 2.8128 (2.7919)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [0]  [ 750/1251]  eta: 0:05:43  lr: 0.000003  loss: 2.7391 (2.7902)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [0]  [ 760/1251]  eta: 0:05:36  lr: 0.000003  loss: 2.9342 (2.7891)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [0]  [ 770/1251]  eta: 0:05:29  lr: 0.000003  loss: 2.8495 (2.7896)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [0]  [ 780/1251]  eta: 0:05:22  lr: 0.000003  loss: 2.8495 (2.7915)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [0]  [ 790/1251]  eta: 0:05:15  lr: 0.000003  loss: 2.8756 (2.7914)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [0]  [ 800/1251]  eta: 0:05:08  lr: 0.000003  loss: 2.8182 (2.7908)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [0]  [ 810/1251]  eta: 0:05:01  lr: 0.000003  loss: 2.8145 (2.7919)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [0]  [ 820/1251]  eta: 0:04:54  lr: 0.000003  loss: 2.8145 (2.7924)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [0]  [ 830/1251]  eta: 0:04:47  lr: 0.000003  loss: 2.7811 (2.7916)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [0]  [ 840/1251]  eta: 0:04:40  lr: 0.000003  loss: 2.7704 (2.7890)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [0]  [ 850/1251]  eta: 0:04:33  lr: 0.000003  loss: 2.7289 (2.7882)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [0]  [ 860/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.8013 (2.7889)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [0]  [ 870/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.8760 (2.7884)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [0]  [ 880/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.7013 (2.7866)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [0]  [ 890/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.7013 (2.7845)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [0]  [ 900/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.8163 (2.7837)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [0]  [ 910/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.8432 (2.7839)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [0]  [ 920/1251]  eta: 0:03:45  lr: 0.000003  loss: 2.6227 (2.7815)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [0]  [ 930/1251]  eta: 0:03:38  lr: 0.000003  loss: 2.6227 (2.7812)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [0]  [ 940/1251]  eta: 0:03:31  lr: 0.000003  loss: 2.7713 (2.7791)  time: 0.6601  data: 0.0003  max mem: 36795
Epoch: [0]  [ 950/1251]  eta: 0:03:24  lr: 0.000003  loss: 2.7713 (2.7797)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [0]  [ 960/1251]  eta: 0:03:17  lr: 0.000003  loss: 2.9219 (2.7795)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [0]  [ 970/1251]  eta: 0:03:11  lr: 0.000003  loss: 2.7673 (2.7779)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [0]  [ 980/1251]  eta: 0:03:04  lr: 0.000003  loss: 2.8766 (2.7795)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [0]  [ 990/1251]  eta: 0:02:57  lr: 0.000003  loss: 2.8701 (2.7767)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [0]  [1000/1251]  eta: 0:02:50  lr: 0.000003  loss: 2.8057 (2.7761)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [0]  [1010/1251]  eta: 0:02:43  lr: 0.000003  loss: 2.8903 (2.7754)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [0]  [1020/1251]  eta: 0:02:36  lr: 0.000003  loss: 2.8180 (2.7756)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [0]  [1030/1251]  eta: 0:02:29  lr: 0.000003  loss: 2.7831 (2.7745)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [0]  [1040/1251]  eta: 0:02:23  lr: 0.000003  loss: 2.6975 (2.7743)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [0]  [1050/1251]  eta: 0:02:16  lr: 0.000003  loss: 2.8717 (2.7755)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [0]  [1060/1251]  eta: 0:02:09  lr: 0.000003  loss: 2.9157 (2.7746)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [0]  [1070/1251]  eta: 0:02:02  lr: 0.000003  loss: 2.8292 (2.7723)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [0]  [1080/1251]  eta: 0:01:55  lr: 0.000003  loss: 2.7515 (2.7713)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [0]  [1090/1251]  eta: 0:01:49  lr: 0.000003  loss: 2.7834 (2.7719)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [0]  [1100/1251]  eta: 0:01:42  lr: 0.000003  loss: 2.8632 (2.7717)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [0]  [1110/1251]  eta: 0:01:35  lr: 0.000003  loss: 2.8483 (2.7695)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [0]  [1120/1251]  eta: 0:01:28  lr: 0.000003  loss: 2.7727 (2.7696)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [0]  [1130/1251]  eta: 0:01:21  lr: 0.000003  loss: 2.7727 (2.7685)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [0]  [1140/1251]  eta: 0:01:15  lr: 0.000003  loss: 2.7003 (2.7687)  time: 0.6597  data: 0.0002  max mem: 36795
Epoch: [0]  [1150/1251]  eta: 0:01:08  lr: 0.000003  loss: 2.8493 (2.7706)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [0]  [1160/1251]  eta: 0:01:01  lr: 0.000003  loss: 3.0139 (2.7716)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [0]  [1170/1251]  eta: 0:00:54  lr: 0.000003  loss: 2.8034 (2.7712)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [0]  [1180/1251]  eta: 0:00:47  lr: 0.000003  loss: 2.8034 (2.7708)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [0]  [1190/1251]  eta: 0:00:41  lr: 0.000003  loss: 2.7366 (2.7686)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [0]  [1200/1251]  eta: 0:00:34  lr: 0.000003  loss: 2.7225 (2.7687)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [0]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.7664 (2.7672)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [0]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.8661 (2.7682)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [0]  [1230/1251]  eta: 0:00:14  lr: 0.000003  loss: 2.7311 (2.7659)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [0]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.6883 (2.7657)  time: 0.6573  data: 0.0008  max mem: 36795
Epoch: [0]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.8041 (2.7648)  time: 0.6549  data: 0.0008  max mem: 36795
Epoch: [0] Total time: 0:14:04 (0.6754 s / it)
Averaged stats: lr: 0.000003  loss: 2.8041 (2.7623)
Test:  [ 0/25]  eta: 0:06:24  loss: 0.5997 (0.5997)  acc1: 90.0000 (90.0000)  acc5: 98.8000 (98.8000)  time: 15.3945  data: 7.4260  max mem: 36795
Test:  [10/25]  eta: 0:00:26  loss: 0.7317 (0.7246)  acc1: 86.4000 (87.0545)  acc5: 98.0000 (97.8909)  time: 1.7467  data: 0.6753  max mem: 36795
Test:  [20/25]  eta: 0:00:05  loss: 0.8283 (0.8520)  acc1: 82.0000 (83.4667)  acc5: 97.2000 (96.9143)  time: 0.3775  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9524 (0.8614)  acc1: 81.6000 (83.1520)  acc5: 96.8000 (96.8480)  time: 0.3774  data: 0.0001  max mem: 36795
Test: Total time: 0:00:24 (0.9925 s / it)
* Acc@1 83.736 Acc@5 96.892 loss 0.851
Accuracy of the network on the 50000 test images: 83.7%
Max accuracy: 83.74%
Epoch: [1]  [   0/1251]  eta: 1:30:35  lr: 0.000003  loss: 2.5576 (2.5576)  time: 4.3451  data: 2.8237  max mem: 36795
Epoch: [1]  [  10/1251]  eta: 0:20:47  lr: 0.000003  loss: 2.7085 (2.7114)  time: 1.0050  data: 0.2569  max mem: 36795
Epoch: [1]  [  20/1251]  eta: 0:17:13  lr: 0.000003  loss: 2.7085 (2.6571)  time: 0.6644  data: 0.0003  max mem: 36795
Epoch: [1]  [  30/1251]  eta: 0:15:53  lr: 0.000003  loss: 2.7679 (2.7027)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [1]  [  40/1251]  eta: 0:15:08  lr: 0.000003  loss: 2.7224 (2.6793)  time: 0.6569  data: 0.0002  max mem: 36795
Epoch: [1]  [  50/1251]  eta: 0:14:40  lr: 0.000003  loss: 2.7072 (2.6608)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [1]  [  60/1251]  eta: 0:14:18  lr: 0.000003  loss: 2.7481 (2.6488)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [1]  [  70/1251]  eta: 0:14:00  lr: 0.000003  loss: 2.5210 (2.6170)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [1]  [  80/1251]  eta: 0:13:45  lr: 0.000003  loss: 2.6282 (2.6300)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [1]  [  90/1251]  eta: 0:13:32  lr: 0.000003  loss: 2.8368 (2.6522)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [1]  [ 100/1251]  eta: 0:13:20  lr: 0.000003  loss: 2.9359 (2.6684)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [1]  [ 110/1251]  eta: 0:13:09  lr: 0.000003  loss: 2.9359 (2.6769)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [1]  [ 120/1251]  eta: 0:12:59  lr: 0.000003  loss: 2.7670 (2.6761)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [1]  [ 130/1251]  eta: 0:12:49  lr: 0.000003  loss: 2.6424 (2.6752)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [1]  [ 140/1251]  eta: 0:12:40  lr: 0.000003  loss: 2.7121 (2.6847)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [1]  [ 150/1251]  eta: 0:12:31  lr: 0.000003  loss: 2.8062 (2.6804)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [1]  [ 160/1251]  eta: 0:12:23  lr: 0.000003  loss: 2.7789 (2.6903)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [1]  [ 170/1251]  eta: 0:12:15  lr: 0.000003  loss: 3.0011 (2.7070)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [1]  [ 180/1251]  eta: 0:12:06  lr: 0.000003  loss: 3.0198 (2.7169)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [1]  [ 190/1251]  eta: 0:11:59  lr: 0.000003  loss: 2.8834 (2.7226)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [1]  [ 200/1251]  eta: 0:11:51  lr: 0.000003  loss: 2.7273 (2.7077)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [1]  [ 210/1251]  eta: 0:11:43  lr: 0.000003  loss: 2.3138 (2.6953)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [1]  [ 220/1251]  eta: 0:11:35  lr: 0.000003  loss: 2.5766 (2.6936)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [1]  [ 230/1251]  eta: 0:11:28  lr: 0.000003  loss: 2.8666 (2.7018)  time: 0.6614  data: 0.0002  max mem: 36795
Epoch: [1]  [ 240/1251]  eta: 0:11:21  lr: 0.000003  loss: 2.8666 (2.7006)  time: 0.6611  data: 0.0003  max mem: 36795
Epoch: [1]  [ 250/1251]  eta: 0:11:13  lr: 0.000003  loss: 2.8291 (2.7040)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [1]  [ 260/1251]  eta: 0:11:06  lr: 0.000003  loss: 2.8428 (2.7057)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [1]  [ 270/1251]  eta: 0:10:59  lr: 0.000003  loss: 2.8710 (2.7115)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [1]  [ 280/1251]  eta: 0:10:52  lr: 0.000003  loss: 2.8261 (2.7138)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [1]  [ 290/1251]  eta: 0:10:45  lr: 0.000003  loss: 2.6143 (2.7056)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [1]  [ 300/1251]  eta: 0:10:38  lr: 0.000003  loss: 2.5873 (2.7071)  time: 0.6611  data: 0.0003  max mem: 36795
Epoch: [1]  [ 310/1251]  eta: 0:10:30  lr: 0.000003  loss: 2.8369 (2.7054)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [1]  [ 320/1251]  eta: 0:10:23  lr: 0.000003  loss: 2.6338 (2.7010)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [1]  [ 330/1251]  eta: 0:10:16  lr: 0.000003  loss: 2.7020 (2.7025)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [1]  [ 340/1251]  eta: 0:10:09  lr: 0.000003  loss: 2.7546 (2.7024)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [1]  [ 350/1251]  eta: 0:10:02  lr: 0.000003  loss: 2.7378 (2.7016)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [1]  [ 360/1251]  eta: 0:09:55  lr: 0.000003  loss: 2.7378 (2.6997)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [1]  [ 370/1251]  eta: 0:09:48  lr: 0.000003  loss: 2.5081 (2.6926)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [1]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.5995 (2.6925)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [1]  [ 390/1251]  eta: 0:09:35  lr: 0.000003  loss: 2.8304 (2.6936)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [1]  [ 400/1251]  eta: 0:09:28  lr: 0.000003  loss: 2.8555 (2.6930)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [1]  [ 410/1251]  eta: 0:09:21  lr: 0.000003  loss: 2.7947 (2.6932)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [1]  [ 420/1251]  eta: 0:09:14  lr: 0.000003  loss: 2.7090 (2.6904)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [1]  [ 430/1251]  eta: 0:09:07  lr: 0.000003  loss: 2.6658 (2.6893)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [1]  [ 440/1251]  eta: 0:09:00  lr: 0.000003  loss: 2.7358 (2.6897)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [1]  [ 450/1251]  eta: 0:08:53  lr: 0.000003  loss: 2.7689 (2.6907)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [1]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.7647 (2.6915)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [1]  [ 470/1251]  eta: 0:08:40  lr: 0.000003  loss: 2.6826 (2.6862)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [1]  [ 480/1251]  eta: 0:08:33  lr: 0.000003  loss: 2.6657 (2.6855)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [1]  [ 490/1251]  eta: 0:08:26  lr: 0.000003  loss: 2.7244 (2.6861)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [1]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.8201 (2.6866)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [1]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.8585 (2.6887)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [1]  [ 520/1251]  eta: 0:08:06  lr: 0.000003  loss: 2.9135 (2.6949)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [1]  [ 530/1251]  eta: 0:07:59  lr: 0.000003  loss: 2.9443 (2.6971)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [1]  [ 540/1251]  eta: 0:07:52  lr: 0.000003  loss: 2.7903 (2.6978)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [1]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.6466 (2.6973)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [1]  [ 560/1251]  eta: 0:07:39  lr: 0.000003  loss: 2.6300 (2.6963)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [1]  [ 570/1251]  eta: 0:07:32  lr: 0.000003  loss: 2.6719 (2.6963)  time: 0.6594  data: 0.0002  max mem: 36795
Epoch: [1]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.8200 (2.6948)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [1]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.7998 (2.6923)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [1]  [ 600/1251]  eta: 0:07:12  lr: 0.000003  loss: 2.7825 (2.6918)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [1]  [ 610/1251]  eta: 0:07:05  lr: 0.000003  loss: 2.8125 (2.6927)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [1]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.9045 (2.6954)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [1]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.8332 (2.6920)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [1]  [ 640/1251]  eta: 0:06:45  lr: 0.000003  loss: 2.8271 (2.6937)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [1]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.8481 (2.6933)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [1]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.7050 (2.6927)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [1]  [ 670/1251]  eta: 0:06:25  lr: 0.000003  loss: 2.7050 (2.6934)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [1]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.8443 (2.6969)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [1]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.8443 (2.6945)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [1]  [ 700/1251]  eta: 0:06:05  lr: 0.000003  loss: 2.7686 (2.6961)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [1]  [ 710/1251]  eta: 0:05:58  lr: 0.000003  loss: 2.7793 (2.6958)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [1]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.7915 (2.6974)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [1]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.9408 (2.6978)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [1]  [ 740/1251]  eta: 0:05:38  lr: 0.000003  loss: 2.9559 (2.6978)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [1]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.7313 (2.6983)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [1]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.7313 (2.6996)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [1]  [ 770/1251]  eta: 0:05:18  lr: 0.000003  loss: 2.7295 (2.6994)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [1]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.5797 (2.6958)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [1]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.5946 (2.6969)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [1]  [ 800/1251]  eta: 0:04:58  lr: 0.000003  loss: 2.7498 (2.6957)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [1]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.7422 (2.6959)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [1]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.6007 (2.6927)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [1]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.8959 (2.6955)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [1]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.9651 (2.6963)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [1]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.8011 (2.6960)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [1]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7032 (2.6944)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [1]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.8591 (2.6955)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [1]  [ 880/1251]  eta: 0:04:05  lr: 0.000003  loss: 2.8286 (2.6947)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [1]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7686 (2.6947)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [1]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.7789 (2.6944)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [1]  [ 910/1251]  eta: 0:03:45  lr: 0.000003  loss: 2.7746 (2.6930)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [1]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.7746 (2.6930)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [1]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7059 (2.6925)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [1]  [ 940/1251]  eta: 0:03:25  lr: 0.000003  loss: 2.6855 (2.6925)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [1]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.6808 (2.6923)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [1]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.6433 (2.6902)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [1]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.8073 (2.6929)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [1]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.9003 (2.6935)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [1]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.7952 (2.6949)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [1]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.7626 (2.6942)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [1]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.4253 (2.6920)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [1]  [1020/1251]  eta: 0:02:32  lr: 0.000003  loss: 2.5587 (2.6917)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [1]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.7604 (2.6921)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [1]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.7604 (2.6930)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [1]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.6954 (2.6916)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [1]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.6133 (2.6903)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [1]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.6751 (2.6889)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [1]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.7044 (2.6883)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [1]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7378 (2.6882)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [1]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.8172 (2.6891)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [1]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.8668 (2.6901)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [1]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.8932 (2.6902)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [1]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.9024 (2.6903)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [1]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.7955 (2.6899)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [1]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.6550 (2.6901)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [1]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.8627 (2.6908)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [1]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.8710 (2.6922)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [1]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.8410 (2.6921)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [1]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.7137 (2.6912)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [1]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.5401 (2.6913)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [1]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.6873 (2.6908)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [1]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7523 (2.6920)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [1]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.8458 (2.6930)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [1]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.8747 (2.6931)  time: 0.6576  data: 0.0008  max mem: 36795
Epoch: [1]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.8744 (2.6941)  time: 0.6570  data: 0.0008  max mem: 36795
Epoch: [1] Total time: 0:13:47 (0.6616 s / it)
Averaged stats: lr: 0.000003  loss: 2.8744 (2.6957)
Test:  [ 0/25]  eta: 0:03:21  loss: 0.6762 (0.6762)  acc1: 90.0000 (90.0000)  acc5: 98.8000 (98.8000)  time: 8.0636  data: 7.6920  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.8188 (0.8011)  acc1: 86.4000 (87.1273)  acc5: 98.0000 (97.9273)  time: 1.0839  data: 0.6996  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8996 (0.9276)  acc1: 82.4000 (83.5238)  acc5: 96.8000 (96.9714)  time: 0.3796  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 1.0321 (0.9364)  acc1: 81.6000 (83.1680)  acc5: 96.8000 (96.9280)  time: 0.3758  data: 0.0001  max mem: 36795
Test: Total time: 0:00:17 (0.6952 s / it)
* Acc@1 83.826 Acc@5 96.916 loss 0.926
Accuracy of the network on the 50000 test images: 83.8%
Max accuracy: 83.83%
Epoch: [2]  [   0/1251]  eta: 1:41:25  lr: 0.000003  loss: 3.2616 (3.2616)  time: 4.8643  data: 4.2324  max mem: 36795
Epoch: [2]  [  10/1251]  eta: 0:21:36  lr: 0.000003  loss: 2.8576 (2.7926)  time: 1.0446  data: 0.3850  max mem: 36795
Epoch: [2]  [  20/1251]  eta: 0:17:38  lr: 0.000003  loss: 2.8498 (2.8440)  time: 0.6600  data: 0.0003  max mem: 36795
Epoch: [2]  [  30/1251]  eta: 0:16:10  lr: 0.000003  loss: 2.8841 (2.8666)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [2]  [  40/1251]  eta: 0:15:21  lr: 0.000003  loss: 2.8952 (2.8395)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [2]  [  50/1251]  eta: 0:14:49  lr: 0.000003  loss: 2.7837 (2.7952)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [2]  [  60/1251]  eta: 0:14:26  lr: 0.000003  loss: 2.7857 (2.7848)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [2]  [  70/1251]  eta: 0:14:07  lr: 0.000003  loss: 2.8213 (2.7572)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [2]  [  80/1251]  eta: 0:13:51  lr: 0.000003  loss: 2.4709 (2.7380)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [2]  [  90/1251]  eta: 0:13:38  lr: 0.000003  loss: 2.4831 (2.7098)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [2]  [ 100/1251]  eta: 0:13:25  lr: 0.000003  loss: 2.6496 (2.7069)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [2]  [ 110/1251]  eta: 0:13:14  lr: 0.000003  loss: 2.7813 (2.7041)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [2]  [ 120/1251]  eta: 0:13:04  lr: 0.000003  loss: 2.8720 (2.7136)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [2]  [ 130/1251]  eta: 0:12:54  lr: 0.000003  loss: 2.7674 (2.6995)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [2]  [ 140/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.7316 (2.7097)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [2]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.8550 (2.7092)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [ 160/1251]  eta: 0:12:26  lr: 0.000003  loss: 2.8032 (2.7128)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [2]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.8101 (2.7178)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [2]  [ 180/1251]  eta: 0:12:09  lr: 0.000003  loss: 2.7514 (2.7190)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [2]  [ 190/1251]  eta: 0:12:01  lr: 0.000003  loss: 2.7376 (2.7100)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [2]  [ 200/1251]  eta: 0:11:53  lr: 0.000003  loss: 2.8123 (2.7121)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.8978 (2.7188)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [2]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.7639 (2.7102)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [2]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.6523 (2.7078)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [2]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.7270 (2.7103)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [2]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.8969 (2.7128)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [2]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.8084 (2.7146)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [2]  [ 270/1251]  eta: 0:11:00  lr: 0.000003  loss: 2.7393 (2.7167)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [2]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.8842 (2.7196)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [2]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.8737 (2.7194)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [2]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.7749 (2.7153)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [2]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.7989 (2.7195)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [2]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.8527 (2.7193)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [2]  [ 330/1251]  eta: 0:10:17  lr: 0.000003  loss: 2.5994 (2.7137)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [2]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.5908 (2.7089)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [2]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.7348 (2.7093)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [2]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.8402 (2.7114)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [2]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.9344 (2.7133)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [2]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.7915 (2.7116)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [2]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.7055 (2.7064)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [2]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.7865 (2.7112)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [2]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.8915 (2.7094)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [2]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.6614 (2.7090)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [2]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.6614 (2.7101)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.7668 (2.7110)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [2]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.8233 (2.7118)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [2]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.8233 (2.7106)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [2]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.8593 (2.7117)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.6334 (2.7073)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [2]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.6500 (2.7069)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [2]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.6500 (2.7016)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.5187 (2.6990)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.5474 (2.6967)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [2]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.7251 (2.6964)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [2]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.5940 (2.6902)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [2]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.5715 (2.6923)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [2]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.7159 (2.6900)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [2]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.6968 (2.6909)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [2]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.8575 (2.6919)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [2]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.8092 (2.6917)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [2]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.6521 (2.6918)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [2]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.6819 (2.6904)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [2]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.7129 (2.6885)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [2]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.7686 (2.6881)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [2]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.7212 (2.6875)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [2]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.6059 (2.6840)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [2]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.5856 (2.6830)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [2]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.6113 (2.6811)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [2]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7792 (2.6813)  time: 0.6600  data: 0.0003  max mem: 36795
Epoch: [2]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.7096 (2.6790)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [2]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.7979 (2.6807)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [2]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.8084 (2.6826)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [2]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.6347 (2.6814)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [2]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.6019 (2.6821)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [2]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.6592 (2.6788)  time: 0.6595  data: 0.0002  max mem: 36795
Epoch: [2]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.6320 (2.6787)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [2]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.6320 (2.6761)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [2]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.7351 (2.6759)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.8236 (2.6759)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.7998 (2.6749)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [2]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6152 (2.6744)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [2]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.6984 (2.6751)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [2]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.7307 (2.6760)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [2]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.8286 (2.6774)  time: 0.6591  data: 0.0002  max mem: 36795
Epoch: [2]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7928 (2.6773)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [2]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.8472 (2.6791)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [2]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7809 (2.6768)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [2]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.6682 (2.6778)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [2]  [ 880/1251]  eta: 0:04:05  lr: 0.000003  loss: 2.9202 (2.6788)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [2]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7872 (2.6776)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [2]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.4972 (2.6747)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.4972 (2.6735)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [2]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.6560 (2.6733)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [2]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.6325 (2.6714)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [2]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7406 (2.6733)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [2]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.8334 (2.6742)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [2]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.8334 (2.6745)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [2]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.7037 (2.6727)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [2]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.6989 (2.6720)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [2]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.7146 (2.6724)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [2]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.8397 (2.6737)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [2]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7939 (2.6725)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [2]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.6980 (2.6732)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [2]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.7407 (2.6740)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [2]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.7281 (2.6740)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [2]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7233 (2.6742)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7418 (2.6746)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [2]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7727 (2.6749)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [2]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.6318 (2.6747)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [2]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.8344 (2.6764)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [2]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7289 (2.6749)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [2]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.8151 (2.6767)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [2]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.8230 (2.6775)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [2]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6928 (2.6773)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [2]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6927 (2.6780)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [2]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.9254 (2.6801)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [2]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.9216 (2.6795)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [2]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.7695 (2.6795)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [2]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.8241 (2.6802)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [2]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.7928 (2.6814)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [2]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.9275 (2.6829)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.9275 (2.6840)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [2]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.8740 (2.6839)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [2]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.8351 (2.6847)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [2]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7908 (2.6842)  time: 0.6577  data: 0.0008  max mem: 36795
Epoch: [2]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7774 (2.6838)  time: 0.6562  data: 0.0008  max mem: 36795
Epoch: [2] Total time: 0:13:48 (0.6620 s / it)
Averaged stats: lr: 0.000003  loss: 2.7774 (2.6770)
Test:  [ 0/25]  eta: 0:03:12  loss: 0.5826 (0.5826)  acc1: 90.4000 (90.4000)  acc5: 99.2000 (99.2000)  time: 7.7043  data: 7.3325  max mem: 36795
Test:  [10/25]  eta: 0:00:15  loss: 0.7280 (0.7102)  acc1: 86.8000 (87.2000)  acc5: 98.0000 (98.1091)  time: 1.0595  data: 0.6669  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8211 (0.8389)  acc1: 82.4000 (83.6191)  acc5: 97.2000 (97.0286)  time: 0.3859  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9456 (0.8487)  acc1: 81.2000 (83.2320)  acc5: 96.8000 (96.9600)  time: 0.3784  data: 0.0001  max mem: 36795
Test: Total time: 0:00:17 (0.6958 s / it)
* Acc@1 83.992 Acc@5 96.952 loss 0.838
Accuracy of the network on the 50000 test images: 84.0%
Max accuracy: 83.99%
Epoch: [3]  [   0/1251]  eta: 1:41:10  lr: 0.000003  loss: 1.9831 (1.9831)  time: 4.8528  data: 4.1867  max mem: 36795
Epoch: [3]  [  10/1251]  eta: 0:21:37  lr: 0.000003  loss: 2.8682 (2.6626)  time: 1.0457  data: 0.3808  max mem: 36795
Epoch: [3]  [  20/1251]  eta: 0:17:39  lr: 0.000003  loss: 2.8836 (2.7388)  time: 0.6612  data: 0.0002  max mem: 36795
Epoch: [3]  [  30/1251]  eta: 0:16:10  lr: 0.000003  loss: 2.7679 (2.6833)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [3]  [  40/1251]  eta: 0:15:22  lr: 0.000003  loss: 2.6810 (2.6776)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [3]  [  50/1251]  eta: 0:14:50  lr: 0.000003  loss: 2.6498 (2.6275)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [3]  [  60/1251]  eta: 0:14:26  lr: 0.000003  loss: 2.6487 (2.6255)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [3]  [  70/1251]  eta: 0:14:07  lr: 0.000003  loss: 2.6487 (2.6264)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [3]  [  80/1251]  eta: 0:13:52  lr: 0.000003  loss: 2.6235 (2.6299)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [3]  [  90/1251]  eta: 0:13:38  lr: 0.000003  loss: 2.6905 (2.6276)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [3]  [ 100/1251]  eta: 0:13:25  lr: 0.000003  loss: 2.6332 (2.6144)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [3]  [ 110/1251]  eta: 0:13:14  lr: 0.000003  loss: 2.6332 (2.6179)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [3]  [ 120/1251]  eta: 0:13:03  lr: 0.000003  loss: 2.6733 (2.6091)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [3]  [ 130/1251]  eta: 0:12:53  lr: 0.000003  loss: 2.6733 (2.6081)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [3]  [ 140/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.7493 (2.6133)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [3]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.5556 (2.6062)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [3]  [ 160/1251]  eta: 0:12:26  lr: 0.000003  loss: 2.7904 (2.6199)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [3]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.8572 (2.6299)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [3]  [ 180/1251]  eta: 0:12:09  lr: 0.000003  loss: 2.7732 (2.6367)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [3]  [ 190/1251]  eta: 0:12:01  lr: 0.000003  loss: 2.7259 (2.6387)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [3]  [ 200/1251]  eta: 0:11:53  lr: 0.000003  loss: 2.6593 (2.6445)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [3]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.5268 (2.6334)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [3]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.4773 (2.6341)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [3]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.8226 (2.6318)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [3]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.5273 (2.6297)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [3]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.5691 (2.6299)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [3]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.8096 (2.6354)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [3]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.8277 (2.6374)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [3]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.7510 (2.6387)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [3]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.4293 (2.6307)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [3]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.4781 (2.6328)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [3]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.6266 (2.6295)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [3]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.7226 (2.6359)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [3]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.8866 (2.6438)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [3]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.7743 (2.6440)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [3]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.5880 (2.6454)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [3]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.7678 (2.6503)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [3]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.9275 (2.6556)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [3]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.9275 (2.6572)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [3]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.8824 (2.6629)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [3]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.7551 (2.6594)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [3]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.7551 (2.6614)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [3]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.8654 (2.6631)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [3]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.8278 (2.6653)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [3]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.6589 (2.6630)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [3]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.6674 (2.6603)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [3]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.7224 (2.6615)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [3]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.6502 (2.6589)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [3]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.6223 (2.6617)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [3]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7501 (2.6602)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [3]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.7790 (2.6632)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [3]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.7552 (2.6617)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [3]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.4792 (2.6573)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [3]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.6867 (2.6591)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [3]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.7214 (2.6590)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [3]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.6791 (2.6566)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [3]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.6791 (2.6568)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [3]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.7517 (2.6563)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [3]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.7517 (2.6577)  time: 0.6616  data: 0.0003  max mem: 36795
Epoch: [3]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.6658 (2.6556)  time: 0.6609  data: 0.0002  max mem: 36795
Epoch: [3]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.8768 (2.6569)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [3]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.8340 (2.6544)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [3]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.6519 (2.6543)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [3]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.7954 (2.6552)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [3]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.8549 (2.6571)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [3]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.8227 (2.6562)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [3]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.7598 (2.6561)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [3]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.7286 (2.6549)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [3]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.6882 (2.6540)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [3]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.6140 (2.6515)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [3]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.7953 (2.6523)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [3]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.6489 (2.6483)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [3]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.3399 (2.6462)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [3]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.6431 (2.6455)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [3]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.7590 (2.6459)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [3]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.7347 (2.6448)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [3]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.7347 (2.6447)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [3]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.8648 (2.6472)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [3]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.8061 (2.6488)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [3]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.7535 (2.6490)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [3]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6906 (2.6484)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [3]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.6917 (2.6496)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [3]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.6839 (2.6491)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [3]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.6839 (2.6485)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [3]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.8159 (2.6507)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [3]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.8159 (2.6516)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [3]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7737 (2.6530)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [3]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.8593 (2.6533)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [3]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.7066 (2.6521)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [3]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.6660 (2.6509)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [3]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.7430 (2.6506)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [3]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.7911 (2.6513)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [3]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.7911 (2.6516)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [3]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.8719 (2.6542)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [3]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.9328 (2.6552)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [3]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.7475 (2.6536)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [3]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.7475 (2.6553)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [3]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.8951 (2.6562)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [3]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.8173 (2.6574)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [3]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.8465 (2.6579)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [3]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.7373 (2.6580)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [3]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.6769 (2.6576)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [3]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.6793 (2.6586)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [3]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.7296 (2.6572)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [3]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.5550 (2.6569)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [3]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7668 (2.6578)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [3]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7668 (2.6557)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [3]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.3874 (2.6515)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [3]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.4475 (2.6509)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [3]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7071 (2.6516)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [3]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7906 (2.6532)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [3]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.8273 (2.6535)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [3]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6901 (2.6533)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [3]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.7024 (2.6524)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [3]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.8295 (2.6530)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [3]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.7933 (2.6535)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [3]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.7496 (2.6530)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [3]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.6496 (2.6508)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [3]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.7973 (2.6533)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [3]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.8921 (2.6552)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [3]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.9012 (2.6556)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [3]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.7813 (2.6550)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [3]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.6700 (2.6548)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [3]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.7369 (2.6552)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [3]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7601 (2.6557)  time: 0.6584  data: 0.0009  max mem: 36795
Epoch: [3]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7880 (2.6563)  time: 0.6564  data: 0.0008  max mem: 36795
Epoch: [3] Total time: 0:13:48 (0.6621 s / it)
Averaged stats: lr: 0.000003  loss: 2.7880 (2.6747)
Test:  [ 0/25]  eta: 0:03:12  loss: 0.6413 (0.6413)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 7.7000  data: 7.3290  max mem: 36795
Test:  [10/25]  eta: 0:00:15  loss: 0.7897 (0.7708)  acc1: 86.4000 (87.3455)  acc5: 98.0000 (98.1091)  time: 1.0508  data: 0.6666  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8727 (0.8997)  acc1: 82.4000 (83.7143)  acc5: 96.8000 (97.0667)  time: 0.3829  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9989 (0.9090)  acc1: 81.2000 (83.3280)  acc5: 96.8000 (97.0080)  time: 0.3810  data: 0.0001  max mem: 36795
Test: Total time: 0:00:17 (0.6895 s / it)
* Acc@1 84.016 Acc@5 96.976 loss 0.897
Accuracy of the network on the 50000 test images: 84.0%
Max accuracy: 84.02%
Epoch: [4]  [   0/1251]  eta: 1:45:23  lr: 0.000003  loss: 2.9455 (2.9455)  time: 5.0547  data: 4.4055  max mem: 36795
Epoch: [4]  [  10/1251]  eta: 0:21:59  lr: 0.000003  loss: 2.7604 (2.7618)  time: 1.0633  data: 0.4007  max mem: 36795
Epoch: [4]  [  20/1251]  eta: 0:17:51  lr: 0.000003  loss: 2.7604 (2.7895)  time: 0.6609  data: 0.0002  max mem: 36795
Epoch: [4]  [  30/1251]  eta: 0:16:18  lr: 0.000003  loss: 2.6684 (2.6898)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [4]  [  40/1251]  eta: 0:15:27  lr: 0.000003  loss: 2.6755 (2.7161)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [4]  [  50/1251]  eta: 0:14:54  lr: 0.000003  loss: 2.8821 (2.7275)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [4]  [  60/1251]  eta: 0:14:30  lr: 0.000003  loss: 2.5711 (2.6945)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [4]  [  70/1251]  eta: 0:14:10  lr: 0.000003  loss: 2.5653 (2.6904)  time: 0.6570  data: 0.0002  max mem: 36795
Epoch: [4]  [  80/1251]  eta: 0:13:54  lr: 0.000003  loss: 2.7873 (2.6955)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [4]  [  90/1251]  eta: 0:13:40  lr: 0.000003  loss: 2.8167 (2.7018)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [4]  [ 100/1251]  eta: 0:13:27  lr: 0.000003  loss: 2.7095 (2.6951)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [4]  [ 110/1251]  eta: 0:13:15  lr: 0.000003  loss: 2.6185 (2.6867)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [4]  [ 120/1251]  eta: 0:13:05  lr: 0.000003  loss: 2.5521 (2.6580)  time: 0.6568  data: 0.0002  max mem: 36795
Epoch: [4]  [ 130/1251]  eta: 0:12:54  lr: 0.000003  loss: 2.4439 (2.6564)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [4]  [ 140/1251]  eta: 0:12:45  lr: 0.000003  loss: 2.8184 (2.6591)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [4]  [ 150/1251]  eta: 0:12:36  lr: 0.000003  loss: 2.7254 (2.6452)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [4]  [ 160/1251]  eta: 0:12:27  lr: 0.000003  loss: 2.5909 (2.6478)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [4]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.4897 (2.6370)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [4]  [ 180/1251]  eta: 0:12:10  lr: 0.000003  loss: 2.5179 (2.6347)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [4]  [ 190/1251]  eta: 0:12:02  lr: 0.000003  loss: 2.6592 (2.6264)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [4]  [ 200/1251]  eta: 0:11:54  lr: 0.000003  loss: 2.6754 (2.6318)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [4]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.7361 (2.6354)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [4]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.7233 (2.6330)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [4]  [ 230/1251]  eta: 0:11:31  lr: 0.000003  loss: 2.6322 (2.6277)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [4]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.4341 (2.6245)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [4]  [ 250/1251]  eta: 0:11:16  lr: 0.000003  loss: 2.7122 (2.6252)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [4]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.7219 (2.6285)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [4]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.7644 (2.6365)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [4]  [ 280/1251]  eta: 0:10:54  lr: 0.000003  loss: 2.7000 (2.6342)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [4]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.6316 (2.6314)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [4]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.7284 (2.6356)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [4]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.7590 (2.6310)  time: 0.6596  data: 0.0002  max mem: 36795
Epoch: [4]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.7590 (2.6367)  time: 0.6601  data: 0.0002  max mem: 36795
Epoch: [4]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.8543 (2.6414)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [4]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.6927 (2.6366)  time: 0.6596  data: 0.0002  max mem: 36795
Epoch: [4]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.7211 (2.6400)  time: 0.6591  data: 0.0002  max mem: 36795
Epoch: [4]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.8472 (2.6429)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [4]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.7019 (2.6397)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [4]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.6601 (2.6368)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [4]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.7185 (2.6385)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [4]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.7639 (2.6409)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [4]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.6980 (2.6390)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [4]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.6980 (2.6432)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [4]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.8160 (2.6422)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [4]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.7811 (2.6404)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [4]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.7675 (2.6418)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [4]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.6136 (2.6365)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [4]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.3741 (2.6336)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [4]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.3736 (2.6313)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [4]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.8737 (2.6359)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [4]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.8461 (2.6351)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [4]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.6821 (2.6363)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [4]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.5980 (2.6329)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [4]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.6299 (2.6360)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [4]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.5265 (2.6309)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [4]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.7164 (2.6347)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [4]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.7902 (2.6344)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [4]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.7415 (2.6344)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [4]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.7088 (2.6336)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [4]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.7100 (2.6356)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [4]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.7697 (2.6348)  time: 0.6564  data: 0.0003  max mem: 36795
Epoch: [4]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.6922 (2.6359)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [4]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.6016 (2.6338)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [4]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.6016 (2.6320)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [4]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.5039 (2.6286)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [4]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.6483 (2.6288)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [4]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.6822 (2.6292)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [4]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.8128 (2.6306)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [4]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7946 (2.6308)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [4]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.5767 (2.6277)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [4]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.6405 (2.6279)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [4]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.8049 (2.6307)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [4]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.7838 (2.6303)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [4]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.7000 (2.6305)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [4]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.7000 (2.6324)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [4]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.7699 (2.6321)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [4]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.8068 (2.6340)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [4]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.8105 (2.6342)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [4]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.7828 (2.6348)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [4]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.7099 (2.6327)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [4]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.4690 (2.6316)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [4]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.7866 (2.6340)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [4]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.8533 (2.6335)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [4]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.5686 (2.6323)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [4]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7697 (2.6339)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [4]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.9066 (2.6364)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [4]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.8356 (2.6378)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [4]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.7473 (2.6365)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [4]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.7750 (2.6376)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [4]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7750 (2.6354)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [4]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.6347 (2.6354)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [4]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.8099 (2.6374)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [4]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.8003 (2.6375)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [4]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.6962 (2.6381)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [4]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.6946 (2.6385)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [4]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.6978 (2.6387)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [4]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.7234 (2.6392)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [4]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.7629 (2.6407)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [4]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7108 (2.6399)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [4]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.7402 (2.6402)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [4]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.7402 (2.6404)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [4]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.6849 (2.6406)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [4]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.5069 (2.6379)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [4]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.2038 (2.6332)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [4]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.4123 (2.6335)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [4]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7521 (2.6326)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [4]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.5745 (2.6311)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [4]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.5699 (2.6301)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [4]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.5181 (2.6299)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [4]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.5791 (2.6303)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [4]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7689 (2.6317)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [4]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.7101 (2.6314)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [4]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6214 (2.6315)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [4]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.8262 (2.6319)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [4]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.8262 (2.6320)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [4]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.8716 (2.6330)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [4]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.8547 (2.6319)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [4]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.8161 (2.6341)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [4]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.9002 (2.6349)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [4]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.8133 (2.6354)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [4]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.8257 (2.6365)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [4]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.7913 (2.6359)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [4]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.6396 (2.6352)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [4]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.8237 (2.6364)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [4]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.8245 (2.6356)  time: 0.6583  data: 0.0009  max mem: 36795
Epoch: [4]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7497 (2.6350)  time: 0.6568  data: 0.0008  max mem: 36795
Epoch: [4] Total time: 0:13:48 (0.6621 s / it)
Averaged stats: lr: 0.000003  loss: 2.7497 (2.6614)
Test:  [ 0/25]  eta: 0:03:15  loss: 0.5558 (0.5558)  acc1: 90.4000 (90.4000)  acc5: 99.2000 (99.2000)  time: 7.8048  data: 7.4329  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.6973 (0.6846)  acc1: 86.8000 (87.4182)  acc5: 98.0000 (98.1455)  time: 1.0735  data: 0.6760  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.7946 (0.8089)  acc1: 82.8000 (83.9429)  acc5: 96.8000 (97.1429)  time: 0.3920  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9035 (0.8183)  acc1: 80.4000 (83.6320)  acc5: 96.8000 (97.1040)  time: 0.3827  data: 0.0001  max mem: 36795
Test: Total time: 0:00:17 (0.7021 s / it)
* Acc@1 84.098 Acc@5 97.032 loss 0.809
Accuracy of the network on the 50000 test images: 84.1%
Max accuracy: 84.10%
Epoch: [5]  [   0/1251]  eta: 1:42:58  lr: 0.000003  loss: 3.0948 (3.0948)  time: 4.9389  data: 4.3037  max mem: 36795
Epoch: [5]  [  10/1251]  eta: 0:21:48  lr: 0.000003  loss: 2.8987 (2.6457)  time: 1.0546  data: 0.3915  max mem: 36795
Epoch: [5]  [  20/1251]  eta: 0:17:45  lr: 0.000003  loss: 2.5268 (2.5229)  time: 0.6615  data: 0.0002  max mem: 36795
Epoch: [5]  [  30/1251]  eta: 0:16:14  lr: 0.000003  loss: 2.5268 (2.5611)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [5]  [  40/1251]  eta: 0:15:24  lr: 0.000003  loss: 2.7889 (2.6001)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [5]  [  50/1251]  eta: 0:14:52  lr: 0.000003  loss: 2.6458 (2.5776)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [5]  [  60/1251]  eta: 0:14:27  lr: 0.000003  loss: 2.7720 (2.6221)  time: 0.6568  data: 0.0003  max mem: 36795
Epoch: [5]  [  70/1251]  eta: 0:14:08  lr: 0.000003  loss: 2.7735 (2.6074)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [5]  [  80/1251]  eta: 0:13:52  lr: 0.000003  loss: 2.7735 (2.6295)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [5]  [  90/1251]  eta: 0:13:38  lr: 0.000003  loss: 2.9194 (2.6347)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [5]  [ 100/1251]  eta: 0:13:26  lr: 0.000003  loss: 2.7125 (2.6394)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [5]  [ 110/1251]  eta: 0:13:14  lr: 0.000003  loss: 2.6724 (2.6304)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [5]  [ 120/1251]  eta: 0:13:04  lr: 0.000003  loss: 2.5754 (2.6339)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [5]  [ 130/1251]  eta: 0:12:54  lr: 0.000003  loss: 2.5603 (2.6131)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [5]  [ 140/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.3607 (2.6110)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [5]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.7252 (2.6154)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [5]  [ 160/1251]  eta: 0:12:26  lr: 0.000003  loss: 2.7034 (2.6168)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [5]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.8284 (2.6324)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [5]  [ 180/1251]  eta: 0:12:10  lr: 0.000003  loss: 2.8284 (2.6337)  time: 0.6601  data: 0.0003  max mem: 36795
Epoch: [5]  [ 190/1251]  eta: 0:12:02  lr: 0.000003  loss: 2.6310 (2.6331)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [5]  [ 200/1251]  eta: 0:11:54  lr: 0.000003  loss: 2.8679 (2.6468)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [5]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.9003 (2.6465)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [5]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.8365 (2.6534)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [5]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.8235 (2.6516)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [5]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.6661 (2.6459)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [5]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.6320 (2.6515)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [5]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.7392 (2.6534)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [5]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.7304 (2.6567)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [5]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.8016 (2.6602)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [5]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.7939 (2.6564)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [5]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.7261 (2.6638)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [5]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.6897 (2.6610)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [5]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.5721 (2.6569)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [5]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.8263 (2.6570)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [5]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.7963 (2.6529)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [5]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.7758 (2.6547)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [5]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.9780 (2.6631)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [5]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.9423 (2.6670)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [5]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.8042 (2.6699)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [5]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.7950 (2.6716)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [5]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.7622 (2.6720)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [5]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.6071 (2.6704)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [5]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.6027 (2.6693)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [5]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.4676 (2.6635)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [5]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.4604 (2.6616)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [5]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.4879 (2.6583)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [5]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.4405 (2.6527)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [5]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.4059 (2.6489)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [5]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.4443 (2.6481)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [5]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7646 (2.6494)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [5]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.7984 (2.6509)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [5]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.8161 (2.6502)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [5]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.5571 (2.6499)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [5]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.7005 (2.6498)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [5]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.7005 (2.6481)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [5]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.7129 (2.6479)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [5]  [ 560/1251]  eta: 0:07:39  lr: 0.000003  loss: 2.6848 (2.6451)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [5]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.7339 (2.6458)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [5]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.7776 (2.6477)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [5]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.7957 (2.6503)  time: 0.6604  data: 0.0003  max mem: 36795
Epoch: [5]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.8486 (2.6521)  time: 0.6608  data: 0.0003  max mem: 36795
Epoch: [5]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.7602 (2.6507)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [5]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.7602 (2.6518)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [5]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.7791 (2.6516)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [5]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.7422 (2.6506)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [5]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.7422 (2.6519)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [5]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.7539 (2.6528)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [5]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.6862 (2.6536)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [5]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7059 (2.6546)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [5]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.7059 (2.6540)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [5]  [ 700/1251]  eta: 0:06:05  lr: 0.000003  loss: 2.5308 (2.6505)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [5]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.3155 (2.6499)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [5]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.4463 (2.6486)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [5]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.6969 (2.6501)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [5]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.8078 (2.6506)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [5]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.8037 (2.6524)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [5]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.8037 (2.6527)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [5]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.8046 (2.6546)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [5]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.7811 (2.6555)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [5]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.6587 (2.6534)  time: 0.6593  data: 0.0002  max mem: 36795
Epoch: [5]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6587 (2.6550)  time: 0.6603  data: 0.0002  max mem: 36795
Epoch: [5]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.7287 (2.6527)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [5]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.7174 (2.6522)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [5]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.7499 (2.6525)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [5]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7499 (2.6512)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [5]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.7911 (2.6523)  time: 0.6570  data: 0.0002  max mem: 36795
Epoch: [5]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7852 (2.6513)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [5]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.4089 (2.6492)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [5]  [ 880/1251]  eta: 0:04:05  lr: 0.000003  loss: 2.6796 (2.6499)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [5]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7018 (2.6479)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [5]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.3216 (2.6460)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [5]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.7720 (2.6471)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [5]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.9162 (2.6488)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [5]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.5105 (2.6458)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [5]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.3696 (2.6442)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [5]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.5096 (2.6417)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [5]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.5498 (2.6418)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [5]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.7843 (2.6432)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [5]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7716 (2.6424)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [5]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.6785 (2.6434)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [5]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.7801 (2.6446)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [5]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.9088 (2.6447)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [5]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.9499 (2.6469)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [5]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.8267 (2.6465)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [5]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.8229 (2.6479)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [5]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.6864 (2.6455)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [5]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.5798 (2.6455)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [5]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.6774 (2.6460)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [5]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.6516 (2.6442)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [5]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.4822 (2.6430)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [5]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.5624 (2.6420)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [5]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.5624 (2.6430)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [5]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.8186 (2.6433)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [5]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.8049 (2.6438)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [5]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6212 (2.6422)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [5]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.7145 (2.6435)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [5]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.7954 (2.6439)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [5]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.7954 (2.6442)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [5]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.7885 (2.6435)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [5]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.6517 (2.6442)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [5]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.8334 (2.6461)  time: 0.6599  data: 0.0002  max mem: 36795
Epoch: [5]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.8267 (2.6459)  time: 0.6599  data: 0.0002  max mem: 36795
Epoch: [5]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.6389 (2.6453)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [5]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.6389 (2.6459)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [5]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7322 (2.6460)  time: 0.6582  data: 0.0008  max mem: 36795
Epoch: [5]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7052 (2.6456)  time: 0.6577  data: 0.0008  max mem: 36795
Epoch: [5] Total time: 0:13:48 (0.6621 s / it)
Averaged stats: lr: 0.000003  loss: 2.7052 (2.6562)
Test:  [ 0/25]  eta: 0:03:28  loss: 0.6357 (0.6357)  acc1: 90.4000 (90.4000)  acc5: 99.2000 (99.2000)  time: 8.3571  data: 7.9854  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.7823 (0.7652)  acc1: 86.4000 (87.0909)  acc5: 98.0000 (98.1091)  time: 1.1180  data: 0.7263  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8758 (0.8910)  acc1: 82.4000 (83.5619)  acc5: 96.8000 (97.0667)  time: 0.3885  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9916 (0.9003)  acc1: 81.2000 (83.2480)  acc5: 96.8000 (97.0400)  time: 0.3820  data: 0.0001  max mem: 36795
Test: Total time: 0:00:18 (0.7202 s / it)
* Acc@1 84.058 Acc@5 97.032 loss 0.889
Accuracy of the network on the 50000 test images: 84.1%
Max accuracy: 84.10%
Epoch: [6]  [   0/1251]  eta: 1:46:42  lr: 0.000003  loss: 2.9100 (2.9100)  time: 5.1182  data: 3.6098  max mem: 36795
Epoch: [6]  [  10/1251]  eta: 0:22:16  lr: 0.000003  loss: 2.8493 (2.6783)  time: 1.0769  data: 0.3284  max mem: 36795
Epoch: [6]  [  20/1251]  eta: 0:18:01  lr: 0.000003  loss: 2.7682 (2.6695)  time: 0.6668  data: 0.0003  max mem: 36795
Epoch: [6]  [  30/1251]  eta: 0:16:25  lr: 0.000003  loss: 2.6636 (2.6266)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [6]  [  40/1251]  eta: 0:15:33  lr: 0.000003  loss: 2.5588 (2.6325)  time: 0.6567  data: 0.0003  max mem: 36795
Epoch: [6]  [  50/1251]  eta: 0:14:58  lr: 0.000003  loss: 2.4102 (2.5898)  time: 0.6568  data: 0.0003  max mem: 36795
Epoch: [6]  [  60/1251]  eta: 0:14:33  lr: 0.000003  loss: 2.4102 (2.5858)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [6]  [  70/1251]  eta: 0:14:13  lr: 0.000003  loss: 2.8558 (2.6188)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [6]  [  80/1251]  eta: 0:13:56  lr: 0.000003  loss: 2.8743 (2.6306)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [6]  [  90/1251]  eta: 0:13:42  lr: 0.000003  loss: 2.7604 (2.6437)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [6]  [ 100/1251]  eta: 0:13:29  lr: 0.000003  loss: 2.6625 (2.6457)  time: 0.6568  data: 0.0003  max mem: 36795
Epoch: [6]  [ 110/1251]  eta: 0:13:17  lr: 0.000003  loss: 2.6427 (2.6398)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [6]  [ 120/1251]  eta: 0:13:06  lr: 0.000003  loss: 2.4454 (2.6078)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [6]  [ 130/1251]  eta: 0:12:56  lr: 0.000003  loss: 2.3509 (2.5977)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [6]  [ 140/1251]  eta: 0:12:47  lr: 0.000003  loss: 2.4803 (2.5853)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [6]  [ 150/1251]  eta: 0:12:37  lr: 0.000003  loss: 2.5809 (2.5848)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [6]  [ 160/1251]  eta: 0:12:28  lr: 0.000003  loss: 2.6343 (2.5909)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [6]  [ 170/1251]  eta: 0:12:20  lr: 0.000003  loss: 2.6638 (2.5977)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [6]  [ 180/1251]  eta: 0:12:11  lr: 0.000003  loss: 2.6913 (2.6061)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [6]  [ 190/1251]  eta: 0:12:03  lr: 0.000003  loss: 2.7328 (2.6078)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [6]  [ 200/1251]  eta: 0:11:55  lr: 0.000003  loss: 2.5707 (2.5990)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [6]  [ 210/1251]  eta: 0:11:47  lr: 0.000003  loss: 2.5707 (2.6103)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [6]  [ 220/1251]  eta: 0:11:39  lr: 0.000003  loss: 2.6662 (2.6094)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [6]  [ 230/1251]  eta: 0:11:31  lr: 0.000003  loss: 2.6670 (2.6164)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [6]  [ 240/1251]  eta: 0:11:24  lr: 0.000003  loss: 2.6670 (2.6143)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [6]  [ 250/1251]  eta: 0:11:16  lr: 0.000003  loss: 2.6735 (2.6170)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [6]  [ 260/1251]  eta: 0:11:09  lr: 0.000003  loss: 2.6780 (2.6211)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [6]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.5846 (2.6195)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [6]  [ 280/1251]  eta: 0:10:54  lr: 0.000003  loss: 2.5505 (2.6184)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [6]  [ 290/1251]  eta: 0:10:47  lr: 0.000003  loss: 2.6514 (2.6214)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [6]  [ 300/1251]  eta: 0:10:40  lr: 0.000003  loss: 2.8296 (2.6299)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [6]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.8376 (2.6282)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [6]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.8460 (2.6321)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [6]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.6442 (2.6278)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [6]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.7156 (2.6320)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [6]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.7156 (2.6297)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [6]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.5851 (2.6232)  time: 0.6566  data: 0.0003  max mem: 36795
Epoch: [6]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.5851 (2.6237)  time: 0.6565  data: 0.0003  max mem: 36795
Epoch: [6]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.6466 (2.6207)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [6]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.7217 (2.6243)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [6]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.7452 (2.6277)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [6]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.6017 (2.6252)  time: 0.6589  data: 0.0002  max mem: 36795
Epoch: [6]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.6666 (2.6267)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [6]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.7380 (2.6303)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [6]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.8929 (2.6320)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [6]  [ 450/1251]  eta: 0:08:55  lr: 0.000003  loss: 2.8558 (2.6331)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [6]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.9248 (2.6345)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [6]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.8802 (2.6315)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [6]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.7814 (2.6339)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [6]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7346 (2.6317)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [6]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.6860 (2.6346)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [6]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.7544 (2.6368)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [6]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.6747 (2.6348)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [6]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.5426 (2.6363)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [6]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.8857 (2.6399)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [6]  [ 550/1251]  eta: 0:07:47  lr: 0.000003  loss: 2.7240 (2.6391)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [6]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.6703 (2.6392)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [6]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.6670 (2.6384)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [6]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.6489 (2.6357)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [6]  [ 590/1251]  eta: 0:07:20  lr: 0.000003  loss: 2.6301 (2.6345)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [6]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.6321 (2.6353)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [6]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.6393 (2.6348)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [6]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.8420 (2.6392)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [6]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.8827 (2.6411)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [6]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.7630 (2.6408)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [6]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.7744 (2.6433)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [6]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.7899 (2.6442)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [6]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.7359 (2.6431)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [6]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7359 (2.6436)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [6]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.7778 (2.6445)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [6]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.7778 (2.6451)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [6]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7350 (2.6435)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [6]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.5775 (2.6444)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [6]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.7773 (2.6458)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [6]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.7773 (2.6440)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [6]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.7923 (2.6456)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [6]  [ 760/1251]  eta: 0:05:26  lr: 0.000003  loss: 2.7679 (2.6471)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [6]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.7679 (2.6475)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [6]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.5714 (2.6440)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [6]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.2858 (2.6410)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [6]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.3945 (2.6397)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [6]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.7595 (2.6417)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [6]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.7802 (2.6413)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [6]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.8062 (2.6425)  time: 0.6600  data: 0.0003  max mem: 36795
Epoch: [6]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.8499 (2.6450)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [6]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.6366 (2.6427)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [6]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.6299 (2.6440)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [6]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.6989 (2.6436)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [6]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.6904 (2.6438)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [6]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7954 (2.6447)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [6]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.6969 (2.6446)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [6]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.6808 (2.6445)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [6]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.7626 (2.6458)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [6]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7556 (2.6455)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [6]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.4753 (2.6443)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [6]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.7287 (2.6445)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [6]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.8253 (2.6458)  time: 0.6599  data: 0.0002  max mem: 36795
Epoch: [6]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.8108 (2.6455)  time: 0.6600  data: 0.0003  max mem: 36795
Epoch: [6]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.8108 (2.6467)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [6]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.8195 (2.6465)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [6]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.8791 (2.6481)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [6]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7894 (2.6472)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [6]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.6329 (2.6475)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [6]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.7499 (2.6483)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [6]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.7847 (2.6485)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [6]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.5973 (2.6482)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [6]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.5458 (2.6474)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [6]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.6630 (2.6487)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [6]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.7611 (2.6481)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [6]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7937 (2.6492)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [6]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7783 (2.6501)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [6]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.8107 (2.6513)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [6]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.8107 (2.6530)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [6]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6701 (2.6514)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [6]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.5567 (2.6513)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [6]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.7726 (2.6521)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [6]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.7833 (2.6521)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [6]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.6036 (2.6513)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [6]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.6273 (2.6519)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [6]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.7861 (2.6525)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [6]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.8263 (2.6540)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [6]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.7308 (2.6531)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [6]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7282 (2.6543)  time: 0.6605  data: 0.0003  max mem: 36795
Epoch: [6]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.6900 (2.6540)  time: 0.6603  data: 0.0003  max mem: 36795
Epoch: [6]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.5524 (2.6529)  time: 0.6578  data: 0.0009  max mem: 36795
Epoch: [6]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7612 (2.6538)  time: 0.6571  data: 0.0008  max mem: 36795
Epoch: [6] Total time: 0:13:48 (0.6623 s / it)
Averaged stats: lr: 0.000003  loss: 2.7612 (2.6551)
Test:  [ 0/25]  eta: 0:02:48  loss: 0.6345 (0.6345)  acc1: 90.0000 (90.0000)  acc5: 99.2000 (99.2000)  time: 6.7413  data: 6.3700  max mem: 36795
Test:  [10/25]  eta: 0:00:14  loss: 0.7865 (0.7689)  acc1: 86.8000 (87.2000)  acc5: 98.0000 (98.0727)  time: 0.9671  data: 0.5796  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8739 (0.8912)  acc1: 82.8000 (83.7524)  acc5: 96.8000 (97.0667)  time: 0.3855  data: 0.0003  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9879 (0.9002)  acc1: 81.2000 (83.4240)  acc5: 96.8000 (97.0560)  time: 0.3808  data: 0.0002  max mem: 36795
Test: Total time: 0:00:16 (0.6465 s / it)
* Acc@1 84.088 Acc@5 97.010 loss 0.889
Accuracy of the network on the 50000 test images: 84.1%
Max accuracy: 84.10%
Epoch: [7]  [   0/1251]  eta: 1:42:15  lr: 0.000003  loss: 3.0104 (3.0104)  time: 4.9046  data: 3.9510  max mem: 36795
Epoch: [7]  [  10/1251]  eta: 0:21:50  lr: 0.000003  loss: 2.3754 (2.3703)  time: 1.0560  data: 0.3594  max mem: 36795
Epoch: [7]  [  20/1251]  eta: 0:17:45  lr: 0.000003  loss: 2.4244 (2.4533)  time: 0.6640  data: 0.0002  max mem: 36795
Epoch: [7]  [  30/1251]  eta: 0:16:14  lr: 0.000003  loss: 2.5558 (2.4621)  time: 0.6568  data: 0.0002  max mem: 36795
Epoch: [7]  [  40/1251]  eta: 0:15:25  lr: 0.000003  loss: 2.6584 (2.5271)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [7]  [  50/1251]  eta: 0:14:52  lr: 0.000003  loss: 2.9021 (2.5555)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [7]  [  60/1251]  eta: 0:14:28  lr: 0.000003  loss: 2.6679 (2.5691)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [7]  [  70/1251]  eta: 0:14:09  lr: 0.000003  loss: 2.7944 (2.6101)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [7]  [  80/1251]  eta: 0:13:53  lr: 0.000003  loss: 2.8370 (2.6280)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [7]  [  90/1251]  eta: 0:13:39  lr: 0.000003  loss: 2.5579 (2.5979)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [7]  [ 100/1251]  eta: 0:13:26  lr: 0.000003  loss: 2.5312 (2.6123)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [7]  [ 110/1251]  eta: 0:13:15  lr: 0.000003  loss: 2.7600 (2.6140)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [7]  [ 120/1251]  eta: 0:13:04  lr: 0.000003  loss: 2.6556 (2.6135)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [7]  [ 130/1251]  eta: 0:12:54  lr: 0.000003  loss: 2.7362 (2.6272)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [ 140/1251]  eta: 0:12:45  lr: 0.000003  loss: 2.5791 (2.6034)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [7]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.7310 (2.6211)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [7]  [ 160/1251]  eta: 0:12:27  lr: 0.000003  loss: 2.8526 (2.6210)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [7]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.6834 (2.6251)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [7]  [ 180/1251]  eta: 0:12:10  lr: 0.000003  loss: 2.7456 (2.6229)  time: 0.6600  data: 0.0003  max mem: 36795
Epoch: [7]  [ 190/1251]  eta: 0:12:02  lr: 0.000003  loss: 2.7065 (2.6278)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [7]  [ 200/1251]  eta: 0:11:54  lr: 0.000003  loss: 2.8385 (2.6398)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [7]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.8156 (2.6370)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [7]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.6351 (2.6384)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [7]  [ 230/1251]  eta: 0:11:31  lr: 0.000003  loss: 2.6557 (2.6386)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [7]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.6749 (2.6408)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [7]  [ 250/1251]  eta: 0:11:16  lr: 0.000003  loss: 2.7241 (2.6457)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [7]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.7057 (2.6466)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [7]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.7026 (2.6453)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [7]  [ 280/1251]  eta: 0:10:54  lr: 0.000003  loss: 2.4540 (2.6358)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [7]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.5004 (2.6341)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [7]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.6348 (2.6311)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [7]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.7622 (2.6318)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [7]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.8238 (2.6391)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [7]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.8273 (2.6418)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [7]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.6671 (2.6391)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [7]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.6150 (2.6398)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [7]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.6661 (2.6384)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [7]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.6416 (2.6399)  time: 0.6597  data: 0.0002  max mem: 36795
Epoch: [7]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.6416 (2.6413)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [7]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.8762 (2.6472)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.7969 (2.6448)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [7]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.6535 (2.6466)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.8107 (2.6499)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [7]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.7687 (2.6487)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [7]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.6373 (2.6434)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [7]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.4908 (2.6416)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [7]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.5454 (2.6387)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [7]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.6408 (2.6411)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [7]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.6603 (2.6356)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [7]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.6697 (2.6366)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.7375 (2.6381)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.6214 (2.6337)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [7]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.6139 (2.6360)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [7]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.8129 (2.6392)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [7]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.8385 (2.6412)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [7]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.8074 (2.6396)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [7]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.8074 (2.6426)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [7]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.7682 (2.6429)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [7]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.7237 (2.6424)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [7]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.7312 (2.6444)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [7]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.6749 (2.6406)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [7]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.7266 (2.6424)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [7]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.7266 (2.6410)  time: 0.6601  data: 0.0003  max mem: 36795
Epoch: [7]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.6459 (2.6408)  time: 0.6599  data: 0.0002  max mem: 36795
Epoch: [7]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.4921 (2.6375)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [7]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.4921 (2.6361)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [7]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.8323 (2.6399)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [7]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.7771 (2.6383)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [7]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.6165 (2.6391)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.4744 (2.6346)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.3304 (2.6333)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [7]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7827 (2.6362)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [7]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.7827 (2.6360)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.7132 (2.6352)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [7]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.7128 (2.6360)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [7]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.8221 (2.6372)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [7]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.7530 (2.6373)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [7]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.6364 (2.6375)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [7]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.7789 (2.6383)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [7]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.7789 (2.6383)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [7]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.7412 (2.6393)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [7]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.7622 (2.6400)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [7]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.7622 (2.6405)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [7]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.7177 (2.6406)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [7]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.6555 (2.6400)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [7]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.6336 (2.6391)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [7]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.6336 (2.6382)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [7]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.4776 (2.6362)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [7]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.4778 (2.6360)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [7]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7558 (2.6371)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [7]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.8153 (2.6386)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [7]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.8579 (2.6393)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [7]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.6932 (2.6379)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [7]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.6868 (2.6391)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [7]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.5294 (2.6374)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [7]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.5294 (2.6361)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [7]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.6038 (2.6364)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [7]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.8391 (2.6382)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [7]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7946 (2.6382)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.6346 (2.6378)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [7]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.7594 (2.6394)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [7]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.8106 (2.6406)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [7]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.8984 (2.6420)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [7]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.6304 (2.6418)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [7]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.7838 (2.6429)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [7]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.8795 (2.6432)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [7]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.8112 (2.6435)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [7]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7744 (2.6436)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.7230 (2.6425)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [7]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7230 (2.6425)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [7]  [1100/1251]  eta: 0:01:40  lr: 0.000003  loss: 2.7306 (2.6412)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [7]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.4885 (2.6387)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [7]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.5101 (2.6379)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [7]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6611 (2.6380)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6611 (2.6365)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [7]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.5675 (2.6365)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [7]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.7147 (2.6382)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [7]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.9657 (2.6396)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [7]  [1180/1251]  eta: 0:00:47  lr: 0.000003  loss: 2.8273 (2.6393)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [7]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.7733 (2.6394)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [7]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.8412 (2.6410)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [7]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.8445 (2.6420)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [7]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.8098 (2.6425)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [7]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.6817 (2.6418)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [7]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.6817 (2.6419)  time: 0.6575  data: 0.0008  max mem: 36795
Epoch: [7]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.8278 (2.6424)  time: 0.6562  data: 0.0008  max mem: 36795
Epoch: [7] Total time: 0:13:48 (0.6622 s / it)
Averaged stats: lr: 0.000003  loss: 2.8278 (2.6471)
Test:  [ 0/25]  eta: 0:03:21  loss: 0.6315 (0.6315)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 8.0580  data: 7.6867  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.7802 (0.7621)  acc1: 86.8000 (87.2727)  acc5: 98.0000 (98.1091)  time: 1.0980  data: 0.6990  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8702 (0.8885)  acc1: 82.4000 (83.6952)  acc5: 96.8000 (97.0857)  time: 0.3936  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9837 (0.8976)  acc1: 80.4000 (83.2960)  acc5: 96.8000 (97.0400)  time: 0.3870  data: 0.0001  max mem: 36795
Test: Total time: 0:00:17 (0.7102 s / it)
* Acc@1 84.092 Acc@5 97.012 loss 0.886
Accuracy of the network on the 50000 test images: 84.1%
Max accuracy: 84.10%
Epoch: [8]  [   0/1251]  eta: 1:41:59  lr: 0.000003  loss: 2.2600 (2.2600)  time: 4.8915  data: 3.9107  max mem: 36795
Epoch: [8]  [  10/1251]  eta: 0:22:00  lr: 0.000003  loss: 2.4977 (2.5551)  time: 1.0641  data: 0.3558  max mem: 36795
Epoch: [8]  [  20/1251]  eta: 0:17:53  lr: 0.000003  loss: 2.4977 (2.5032)  time: 0.6708  data: 0.0003  max mem: 36795
Epoch: [8]  [  30/1251]  eta: 0:16:19  lr: 0.000003  loss: 2.6585 (2.6134)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [8]  [  40/1251]  eta: 0:15:28  lr: 0.000003  loss: 2.9396 (2.6857)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [8]  [  50/1251]  eta: 0:14:55  lr: 0.000003  loss: 2.8284 (2.6562)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [8]  [  60/1251]  eta: 0:14:31  lr: 0.000003  loss: 2.8175 (2.6933)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [8]  [  70/1251]  eta: 0:14:11  lr: 0.000003  loss: 2.7875 (2.6860)  time: 0.6592  data: 0.0002  max mem: 36795
Epoch: [8]  [  80/1251]  eta: 0:13:55  lr: 0.000003  loss: 2.6270 (2.6775)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [8]  [  90/1251]  eta: 0:13:40  lr: 0.000003  loss: 2.7368 (2.6868)  time: 0.6567  data: 0.0003  max mem: 36795
Epoch: [8]  [ 100/1251]  eta: 0:13:28  lr: 0.000003  loss: 2.8058 (2.7067)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [8]  [ 110/1251]  eta: 0:13:16  lr: 0.000003  loss: 2.7598 (2.6994)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [8]  [ 120/1251]  eta: 0:13:06  lr: 0.000003  loss: 2.5503 (2.6879)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [8]  [ 130/1251]  eta: 0:12:56  lr: 0.000003  loss: 2.5503 (2.6766)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [8]  [ 140/1251]  eta: 0:12:46  lr: 0.000003  loss: 2.7802 (2.6820)  time: 0.6598  data: 0.0003  max mem: 36795
Epoch: [8]  [ 150/1251]  eta: 0:12:37  lr: 0.000003  loss: 2.8024 (2.6917)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [8]  [ 160/1251]  eta: 0:12:28  lr: 0.000003  loss: 2.8430 (2.6949)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [8]  [ 170/1251]  eta: 0:12:19  lr: 0.000003  loss: 2.8135 (2.7016)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [8]  [ 180/1251]  eta: 0:12:11  lr: 0.000003  loss: 2.7598 (2.6979)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [8]  [ 190/1251]  eta: 0:12:03  lr: 0.000003  loss: 2.7126 (2.7061)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [8]  [ 200/1251]  eta: 0:11:55  lr: 0.000003  loss: 2.8196 (2.7047)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [8]  [ 210/1251]  eta: 0:11:47  lr: 0.000003  loss: 2.9125 (2.7096)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [8]  [ 220/1251]  eta: 0:11:39  lr: 0.000003  loss: 2.8913 (2.7105)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [8]  [ 230/1251]  eta: 0:11:31  lr: 0.000003  loss: 2.8122 (2.7053)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [8]  [ 240/1251]  eta: 0:11:24  lr: 0.000003  loss: 2.5058 (2.6959)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [8]  [ 250/1251]  eta: 0:11:16  lr: 0.000003  loss: 2.5058 (2.6929)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [8]  [ 260/1251]  eta: 0:11:09  lr: 0.000003  loss: 2.6319 (2.6972)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [8]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.6388 (2.6947)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [8]  [ 280/1251]  eta: 0:10:54  lr: 0.000003  loss: 2.6221 (2.6925)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [8]  [ 290/1251]  eta: 0:10:47  lr: 0.000003  loss: 2.6073 (2.6847)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [8]  [ 300/1251]  eta: 0:10:40  lr: 0.000003  loss: 2.6780 (2.6925)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [8]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.8577 (2.6982)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [8]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.8077 (2.6977)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [8]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.7703 (2.6938)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [8]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.7980 (2.6941)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [8]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.7011 (2.6866)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [8]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.6770 (2.6875)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [8]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.6657 (2.6849)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [8]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.6766 (2.6872)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [8]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.7515 (2.6859)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [8]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.6875 (2.6856)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [8]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.6251 (2.6776)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [8]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.6444 (2.6813)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [8]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.8120 (2.6770)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [8]  [ 440/1251]  eta: 0:09:02  lr: 0.000003  loss: 2.6183 (2.6727)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [8]  [ 450/1251]  eta: 0:08:55  lr: 0.000003  loss: 2.6876 (2.6780)  time: 0.6602  data: 0.0003  max mem: 36795
Epoch: [8]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.7264 (2.6748)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [8]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.5317 (2.6732)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [8]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.6941 (2.6736)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [8]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7674 (2.6734)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [8]  [ 500/1251]  eta: 0:08:21  lr: 0.000003  loss: 2.7992 (2.6731)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [8]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.7999 (2.6760)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [8]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.8092 (2.6766)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [8]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.8170 (2.6788)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [8]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.7972 (2.6776)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [8]  [ 550/1251]  eta: 0:07:47  lr: 0.000003  loss: 2.5540 (2.6747)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [8]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.5954 (2.6720)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [8]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.7615 (2.6744)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [8]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.8950 (2.6750)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [8]  [ 590/1251]  eta: 0:07:20  lr: 0.000003  loss: 2.5312 (2.6696)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [8]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.3720 (2.6644)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [8]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.5376 (2.6621)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [8]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.6572 (2.6633)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [8]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.6579 (2.6634)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [8]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.8045 (2.6662)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [8]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.8320 (2.6659)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [8]  [ 660/1251]  eta: 0:06:33  lr: 0.000003  loss: 2.8275 (2.6669)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [8]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.8115 (2.6669)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [8]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.8267 (2.6698)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [8]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.8269 (2.6705)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [8]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.6822 (2.6683)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [8]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7147 (2.6693)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [8]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.8186 (2.6704)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [8]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.9277 (2.6730)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [8]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.8790 (2.6746)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [8]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.8759 (2.6751)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [8]  [ 760/1251]  eta: 0:05:26  lr: 0.000003  loss: 2.6098 (2.6712)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [8]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.5974 (2.6703)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [8]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.5974 (2.6689)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [8]  [ 790/1251]  eta: 0:05:06  lr: 0.000003  loss: 2.5585 (2.6679)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [8]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.7681 (2.6680)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [8]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.8079 (2.6703)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [8]  [ 820/1251]  eta: 0:04:46  lr: 0.000003  loss: 2.7828 (2.6698)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [8]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.6581 (2.6693)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [8]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7530 (2.6699)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [8]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.8297 (2.6691)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [8]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.8626 (2.6724)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [8]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.8489 (2.6721)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [8]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.7901 (2.6736)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [8]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7901 (2.6725)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [8]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.7409 (2.6716)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [8]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.7611 (2.6717)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [8]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.7611 (2.6717)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [8]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.6346 (2.6710)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [8]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7482 (2.6713)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [8]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.7934 (2.6730)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [8]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.7469 (2.6716)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [8]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.6543 (2.6708)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [8]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7018 (2.6704)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [8]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.7920 (2.6719)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [8]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.8240 (2.6728)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [8]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7980 (2.6722)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [8]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.6424 (2.6710)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [8]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.6916 (2.6721)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [8]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.7350 (2.6722)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [8]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.8248 (2.6739)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [8]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7970 (2.6733)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [8]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.5845 (2.6721)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [8]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.6124 (2.6707)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [8]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.6124 (2.6693)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [8]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.6299 (2.6685)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [8]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.5966 (2.6680)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [8]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6192 (2.6680)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [8]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.7379 (2.6668)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [8]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.4735 (2.6652)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [8]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.5629 (2.6645)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [8]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.6731 (2.6641)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [8]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.6804 (2.6641)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [8]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.6698 (2.6632)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [8]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.7598 (2.6642)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [8]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.7598 (2.6631)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [8]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.5408 (2.6623)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [8]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.6999 (2.6637)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [8]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.8650 (2.6631)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [8]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.6775 (2.6618)  time: 0.6576  data: 0.0009  max mem: 36795
Epoch: [8]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.6775 (2.6621)  time: 0.6562  data: 0.0008  max mem: 36795
Epoch: [8] Total time: 0:13:48 (0.6622 s / it)
Averaged stats: lr: 0.000003  loss: 2.6775 (2.6515)
Test:  [ 0/25]  eta: 0:02:57  loss: 0.5881 (0.5881)  acc1: 91.2000 (91.2000)  acc5: 99.2000 (99.2000)  time: 7.1192  data: 6.7458  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.7441 (0.7262)  acc1: 86.4000 (87.2727)  acc5: 98.0000 (98.1091)  time: 1.0861  data: 0.6823  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8380 (0.8510)  acc1: 81.6000 (83.6952)  acc5: 97.2000 (97.1048)  time: 0.4318  data: 0.0380  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9490 (0.8609)  acc1: 80.8000 (83.3120)  acc5: 96.8000 (97.0400)  time: 0.3892  data: 0.0002  max mem: 36795
Test: Total time: 0:00:17 (0.6981 s / it)
* Acc@1 84.090 Acc@5 97.020 loss 0.849
Accuracy of the network on the 50000 test images: 84.1%
Max accuracy: 84.10%
Epoch: [9]  [   0/1251]  eta: 1:40:21  lr: 0.000003  loss: 2.8083 (2.8083)  time: 4.8130  data: 2.9233  max mem: 36795
Epoch: [9]  [  10/1251]  eta: 0:21:49  lr: 0.000003  loss: 2.7185 (2.6086)  time: 1.0552  data: 0.2660  max mem: 36795
Epoch: [9]  [  20/1251]  eta: 0:17:46  lr: 0.000003  loss: 2.6570 (2.6316)  time: 0.6687  data: 0.0003  max mem: 36795
Epoch: [9]  [  30/1251]  eta: 0:16:15  lr: 0.000003  loss: 2.7436 (2.6507)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [9]  [  40/1251]  eta: 0:15:25  lr: 0.000003  loss: 2.6967 (2.5982)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [9]  [  50/1251]  eta: 0:14:52  lr: 0.000003  loss: 2.7322 (2.6342)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [9]  [  60/1251]  eta: 0:14:28  lr: 0.000003  loss: 2.8370 (2.6702)  time: 0.6570  data: 0.0002  max mem: 36795
Epoch: [9]  [  70/1251]  eta: 0:14:09  lr: 0.000003  loss: 2.7349 (2.6587)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [9]  [  80/1251]  eta: 0:13:52  lr: 0.000003  loss: 2.8589 (2.6842)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [9]  [  90/1251]  eta: 0:13:38  lr: 0.000003  loss: 2.9133 (2.7057)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [9]  [ 100/1251]  eta: 0:13:26  lr: 0.000003  loss: 2.8290 (2.6991)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [9]  [ 110/1251]  eta: 0:13:14  lr: 0.000003  loss: 2.7677 (2.6907)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [9]  [ 120/1251]  eta: 0:13:04  lr: 0.000003  loss: 2.6204 (2.6892)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [9]  [ 130/1251]  eta: 0:12:54  lr: 0.000003  loss: 2.6022 (2.6715)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [9]  [ 140/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.2738 (2.6573)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [9]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.7662 (2.6701)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [9]  [ 160/1251]  eta: 0:12:26  lr: 0.000003  loss: 2.8098 (2.6539)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [9]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.6476 (2.6578)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [9]  [ 180/1251]  eta: 0:12:09  lr: 0.000003  loss: 2.7080 (2.6494)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [9]  [ 190/1251]  eta: 0:12:01  lr: 0.000003  loss: 2.5076 (2.6359)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [9]  [ 200/1251]  eta: 0:11:53  lr: 0.000003  loss: 2.5349 (2.6297)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [9]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.5880 (2.6325)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [9]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.5852 (2.6260)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [9]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.6828 (2.6314)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [9]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.9121 (2.6356)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [9]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.8160 (2.6411)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [9]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.8546 (2.6471)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [9]  [ 270/1251]  eta: 0:11:00  lr: 0.000003  loss: 2.8901 (2.6541)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [9]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.7923 (2.6482)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [9]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.6592 (2.6438)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [9]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.6592 (2.6416)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [9]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.9584 (2.6482)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [9]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.9035 (2.6440)  time: 0.6600  data: 0.0003  max mem: 36795
Epoch: [9]  [ 330/1251]  eta: 0:10:17  lr: 0.000003  loss: 2.5142 (2.6434)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [9]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.7005 (2.6457)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [9]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.8841 (2.6510)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [9]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.8501 (2.6519)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [9]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.5670 (2.6457)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [9]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.6060 (2.6457)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [9]  [ 390/1251]  eta: 0:09:35  lr: 0.000003  loss: 2.8184 (2.6490)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [9]  [ 400/1251]  eta: 0:09:28  lr: 0.000003  loss: 2.8201 (2.6491)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [9]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.7427 (2.6521)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [9]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.6355 (2.6493)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [9]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.7111 (2.6518)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [9]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.7847 (2.6539)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [9]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.7694 (2.6548)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [9]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.7732 (2.6559)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [9]  [ 470/1251]  eta: 0:08:40  lr: 0.000003  loss: 2.5546 (2.6521)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [9]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.4476 (2.6471)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [9]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7365 (2.6499)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [9]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.7365 (2.6482)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [9]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.7283 (2.6500)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [9]  [ 520/1251]  eta: 0:08:06  lr: 0.000003  loss: 2.8000 (2.6527)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [9]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.8780 (2.6535)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [9]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.9107 (2.6565)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [9]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.8638 (2.6564)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [9]  [ 560/1251]  eta: 0:07:39  lr: 0.000003  loss: 2.8437 (2.6592)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [9]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.7957 (2.6586)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [9]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.7335 (2.6601)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [9]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.7498 (2.6611)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [9]  [ 600/1251]  eta: 0:07:12  lr: 0.000003  loss: 2.6785 (2.6605)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [9]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.6190 (2.6588)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [9]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.5891 (2.6588)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [9]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.8091 (2.6607)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [9]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.8120 (2.6613)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [9]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.6382 (2.6598)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [9]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.6360 (2.6594)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [9]  [ 670/1251]  eta: 0:06:25  lr: 0.000003  loss: 2.8372 (2.6621)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [9]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.8093 (2.6616)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [9]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.7729 (2.6642)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [9]  [ 700/1251]  eta: 0:06:05  lr: 0.000003  loss: 2.8597 (2.6656)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [9]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7462 (2.6648)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [9]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.4916 (2.6620)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [9]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.4908 (2.6602)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [9]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.6084 (2.6600)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [9]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.6778 (2.6584)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [9]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.6316 (2.6580)  time: 0.6592  data: 0.0002  max mem: 36795
Epoch: [9]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.5765 (2.6564)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [9]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.5765 (2.6546)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [9]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.3819 (2.6522)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [9]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.3819 (2.6496)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [9]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.5285 (2.6486)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [9]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.6905 (2.6501)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [9]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.7645 (2.6499)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [9]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7238 (2.6492)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [9]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.7474 (2.6511)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [9]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.8024 (2.6498)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [9]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.5851 (2.6481)  time: 0.6604  data: 0.0003  max mem: 36795
Epoch: [9]  [ 880/1251]  eta: 0:04:05  lr: 0.000003  loss: 2.6561 (2.6475)  time: 0.6602  data: 0.0002  max mem: 36795
Epoch: [9]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7617 (2.6496)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [9]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.7988 (2.6500)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [9]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.7107 (2.6503)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [9]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.6680 (2.6491)  time: 0.6612  data: 0.0002  max mem: 36795
Epoch: [9]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7954 (2.6510)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [9]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7514 (2.6506)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [9]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.6541 (2.6481)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [9]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.7405 (2.6491)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [9]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.8451 (2.6505)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [9]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.5932 (2.6484)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [9]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.6604 (2.6500)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [9]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.7176 (2.6493)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [9]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.6674 (2.6493)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [9]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.6674 (2.6480)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [9]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.6786 (2.6480)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [9]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6786 (2.6483)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [9]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7218 (2.6475)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [9]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.5904 (2.6448)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [9]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.6219 (2.6468)  time: 0.6600  data: 0.0003  max mem: 36795
Epoch: [9]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.8309 (2.6475)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [9]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7662 (2.6473)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [9]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.8343 (2.6484)  time: 0.6590  data: 0.0004  max mem: 36795
Epoch: [9]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.7141 (2.6466)  time: 0.6589  data: 0.0004  max mem: 36795
Epoch: [9]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6718 (2.6470)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [9]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.8090 (2.6478)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [9]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6694 (2.6462)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [9]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.5234 (2.6461)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [9]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.7836 (2.6477)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [9]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.8359 (2.6490)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [9]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.8359 (2.6490)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [9]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.8168 (2.6494)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [9]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.7253 (2.6488)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [9]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.7253 (2.6487)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [9]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.6821 (2.6473)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [9]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.7277 (2.6482)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [9]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7277 (2.6479)  time: 0.6579  data: 0.0009  max mem: 36795
Epoch: [9]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.6107 (2.6473)  time: 0.6570  data: 0.0008  max mem: 36795
Epoch: [9] Total time: 0:13:48 (0.6621 s / it)
Averaged stats: lr: 0.000003  loss: 2.6107 (2.6474)
Test:  [ 0/25]  eta: 0:02:04  loss: 0.5586 (0.5586)  acc1: 90.4000 (90.4000)  acc5: 99.2000 (99.2000)  time: 4.9612  data: 4.5888  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.7054 (0.6906)  acc1: 86.8000 (87.2727)  acc5: 98.0000 (98.1455)  time: 1.0762  data: 0.6830  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8021 (0.8125)  acc1: 82.0000 (83.9238)  acc5: 97.2000 (97.1429)  time: 0.5337  data: 0.1463  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9034 (0.8220)  acc1: 80.8000 (83.6000)  acc5: 96.8000 (97.1040)  time: 0.3826  data: 0.0002  max mem: 36795
Test: Total time: 0:00:17 (0.6939 s / it)
* Acc@1 84.238 Acc@5 97.044 loss 0.812
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.24%
Epoch: [10]  [   0/1251]  eta: 1:41:23  lr: 0.000003  loss: 2.9667 (2.9667)  time: 4.8629  data: 4.1918  max mem: 36795
Epoch: [10]  [  10/1251]  eta: 0:21:33  lr: 0.000003  loss: 2.7640 (2.7031)  time: 1.0422  data: 0.3813  max mem: 36795
Epoch: [10]  [  20/1251]  eta: 0:17:37  lr: 0.000003  loss: 2.7583 (2.6454)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [10]  [  30/1251]  eta: 0:16:08  lr: 0.000003  loss: 2.7885 (2.6698)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [10]  [  40/1251]  eta: 0:15:20  lr: 0.000003  loss: 2.5926 (2.6202)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [10]  [  50/1251]  eta: 0:14:48  lr: 0.000003  loss: 2.5926 (2.6208)  time: 0.6567  data: 0.0003  max mem: 36795
Epoch: [10]  [  60/1251]  eta: 0:14:25  lr: 0.000003  loss: 2.7612 (2.6339)  time: 0.6567  data: 0.0002  max mem: 36795
Epoch: [10]  [  70/1251]  eta: 0:14:06  lr: 0.000003  loss: 2.7977 (2.6548)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [10]  [  80/1251]  eta: 0:13:50  lr: 0.000003  loss: 2.9167 (2.6644)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [10]  [  90/1251]  eta: 0:13:36  lr: 0.000003  loss: 2.8225 (2.6608)  time: 0.6567  data: 0.0003  max mem: 36795
Epoch: [10]  [ 100/1251]  eta: 0:13:24  lr: 0.000003  loss: 2.7948 (2.6504)  time: 0.6568  data: 0.0003  max mem: 36795
Epoch: [10]  [ 110/1251]  eta: 0:13:13  lr: 0.000003  loss: 2.7069 (2.6583)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [10]  [ 120/1251]  eta: 0:13:02  lr: 0.000003  loss: 2.7069 (2.6675)  time: 0.6575  data: 0.0004  max mem: 36795
Epoch: [10]  [ 130/1251]  eta: 0:12:52  lr: 0.000003  loss: 2.7005 (2.6694)  time: 0.6572  data: 0.0004  max mem: 36795
Epoch: [10]  [ 140/1251]  eta: 0:12:43  lr: 0.000003  loss: 2.6990 (2.6647)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [10]  [ 150/1251]  eta: 0:12:34  lr: 0.000003  loss: 2.8059 (2.6641)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [10]  [ 160/1251]  eta: 0:12:25  lr: 0.000003  loss: 2.8059 (2.6638)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [10]  [ 170/1251]  eta: 0:12:17  lr: 0.000003  loss: 2.7844 (2.6754)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [10]  [ 180/1251]  eta: 0:12:09  lr: 0.000003  loss: 2.7759 (2.6687)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [10]  [ 190/1251]  eta: 0:12:01  lr: 0.000003  loss: 2.6541 (2.6613)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [10]  [ 200/1251]  eta: 0:11:53  lr: 0.000003  loss: 2.6449 (2.6511)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [10]  [ 210/1251]  eta: 0:11:45  lr: 0.000003  loss: 2.6952 (2.6545)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [10]  [ 220/1251]  eta: 0:11:37  lr: 0.000003  loss: 2.9073 (2.6574)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [10]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.7886 (2.6573)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [10]  [ 240/1251]  eta: 0:11:22  lr: 0.000003  loss: 2.8037 (2.6615)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [10]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.8281 (2.6580)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [10]  [ 260/1251]  eta: 0:11:07  lr: 0.000003  loss: 2.5999 (2.6552)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [10]  [ 270/1251]  eta: 0:11:00  lr: 0.000003  loss: 2.7296 (2.6615)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [10]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.8016 (2.6567)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [10]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.5712 (2.6523)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [10]  [ 300/1251]  eta: 0:10:38  lr: 0.000003  loss: 2.5956 (2.6552)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [10]  [ 310/1251]  eta: 0:10:31  lr: 0.000003  loss: 2.7703 (2.6555)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [10]  [ 320/1251]  eta: 0:10:24  lr: 0.000003  loss: 2.5766 (2.6468)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [10]  [ 330/1251]  eta: 0:10:17  lr: 0.000003  loss: 2.5260 (2.6425)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [10]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.6546 (2.6364)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [10]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.6938 (2.6371)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [10]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.7902 (2.6402)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [10]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.7818 (2.6372)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [10]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.4104 (2.6330)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [10]  [ 390/1251]  eta: 0:09:35  lr: 0.000003  loss: 2.6415 (2.6347)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [10]  [ 400/1251]  eta: 0:09:28  lr: 0.000003  loss: 2.8377 (2.6361)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [10]  [ 410/1251]  eta: 0:09:21  lr: 0.000003  loss: 2.8359 (2.6377)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [10]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.7256 (2.6376)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [10]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.7420 (2.6422)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [10]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.8334 (2.6457)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [10]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.7316 (2.6454)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [10]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.6657 (2.6426)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [10]  [ 470/1251]  eta: 0:08:40  lr: 0.000003  loss: 2.6373 (2.6418)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [10]  [ 480/1251]  eta: 0:08:33  lr: 0.000003  loss: 2.4248 (2.6373)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [10]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.4248 (2.6360)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [10]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.7295 (2.6378)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [10]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.7295 (2.6375)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [10]  [ 520/1251]  eta: 0:08:06  lr: 0.000003  loss: 2.6472 (2.6365)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [10]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.6735 (2.6390)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [10]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.7305 (2.6394)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [10]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.6119 (2.6398)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [10]  [ 560/1251]  eta: 0:07:39  lr: 0.000003  loss: 2.8428 (2.6411)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [10]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.9164 (2.6432)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [10]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.7724 (2.6438)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [10]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.8150 (2.6439)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [10]  [ 600/1251]  eta: 0:07:12  lr: 0.000003  loss: 2.8614 (2.6414)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [10]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.6405 (2.6402)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [10]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.6662 (2.6392)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [10]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.7428 (2.6401)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [10]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.7314 (2.6398)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [10]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.8227 (2.6419)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [10]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.7615 (2.6440)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [10]  [ 670/1251]  eta: 0:06:25  lr: 0.000003  loss: 2.7213 (2.6441)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [10]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.8210 (2.6454)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [10]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.8431 (2.6476)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [10]  [ 700/1251]  eta: 0:06:05  lr: 0.000003  loss: 2.8431 (2.6494)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [10]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7183 (2.6478)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [10]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.7056 (2.6475)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [10]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.6636 (2.6452)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [10]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.6829 (2.6464)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [10]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.7058 (2.6460)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [10]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.7501 (2.6476)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [10]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.7501 (2.6489)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [10]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.6128 (2.6470)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [10]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.6128 (2.6464)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [10]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6373 (2.6470)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [10]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.8304 (2.6482)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [10]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.8059 (2.6486)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [10]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.5649 (2.6484)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [10]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.6456 (2.6474)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [10]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.5755 (2.6445)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [10]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7484 (2.6468)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [10]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.6958 (2.6444)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [10]  [ 880/1251]  eta: 0:04:05  lr: 0.000003  loss: 2.5631 (2.6451)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [10]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.6185 (2.6422)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [10]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.5966 (2.6418)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [10]  [ 910/1251]  eta: 0:03:45  lr: 0.000003  loss: 2.5966 (2.6410)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [10]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.7061 (2.6419)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [10]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7461 (2.6426)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [10]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7788 (2.6428)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [10]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.7105 (2.6404)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [10]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.7105 (2.6415)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [10]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.7601 (2.6419)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [10]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7193 (2.6418)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [10]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.6653 (2.6410)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [10]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.6653 (2.6414)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [10]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.5227 (2.6384)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [10]  [1020/1251]  eta: 0:02:32  lr: 0.000003  loss: 2.2931 (2.6382)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [10]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.8408 (2.6394)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [10]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.7923 (2.6392)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [10]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.5974 (2.6372)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [10]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.5727 (2.6358)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [10]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.6003 (2.6364)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [10]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.8303 (2.6386)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [10]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.8140 (2.6387)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [10]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7767 (2.6400)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [10]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.7767 (2.6409)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [10]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.7380 (2.6414)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [10]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.7223 (2.6418)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [10]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6591 (2.6407)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [10]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.6508 (2.6387)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [10]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.4825 (2.6370)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [10]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.6895 (2.6382)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [10]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.8013 (2.6381)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [10]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.6773 (2.6379)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [10]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.5334 (2.6365)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [10]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.6280 (2.6362)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [10]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7877 (2.6375)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [10]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.7877 (2.6377)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [10]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.5735 (2.6359)  time: 0.6591  data: 0.0008  max mem: 36795
Epoch: [10]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.5735 (2.6365)  time: 0.6569  data: 0.0008  max mem: 36795
Epoch: [10] Total time: 0:13:48 (0.6620 s / it)
Averaged stats: lr: 0.000003  loss: 2.5735 (2.6437)
Test:  [ 0/25]  eta: 0:02:31  loss: 0.5875 (0.5875)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 6.0472  data: 5.6761  max mem: 36795
Test:  [10/25]  eta: 0:00:14  loss: 0.7447 (0.7240)  acc1: 86.4000 (87.2727)  acc5: 98.0000 (98.0364)  time: 0.9787  data: 0.5683  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8354 (0.8526)  acc1: 82.8000 (83.7333)  acc5: 97.2000 (97.0095)  time: 0.4276  data: 0.0288  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9544 (0.8620)  acc1: 80.4000 (83.3280)  acc5: 96.4000 (96.9920)  time: 0.3912  data: 0.0002  max mem: 36795
Test: Total time: 0:00:16 (0.6525 s / it)
* Acc@1 84.098 Acc@5 96.978 loss 0.849
Accuracy of the network on the 50000 test images: 84.1%
Max accuracy: 84.24%
Epoch: [11]  [   0/1251]  eta: 1:47:10  lr: 0.000003  loss: 1.7210 (1.7210)  time: 5.1402  data: 3.1937  max mem: 36795
Epoch: [11]  [  10/1251]  eta: 0:22:12  lr: 0.000003  loss: 2.3455 (2.4334)  time: 1.0740  data: 0.2906  max mem: 36795
Epoch: [11]  [  20/1251]  eta: 0:17:58  lr: 0.000003  loss: 2.7184 (2.5931)  time: 0.6632  data: 0.0003  max mem: 36795
Epoch: [11]  [  30/1251]  eta: 0:16:23  lr: 0.000003  loss: 2.7247 (2.5613)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [11]  [  40/1251]  eta: 0:15:31  lr: 0.000003  loss: 2.7245 (2.6004)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [11]  [  50/1251]  eta: 0:14:57  lr: 0.000003  loss: 2.8033 (2.6235)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [11]  [  60/1251]  eta: 0:14:32  lr: 0.000003  loss: 2.7385 (2.6297)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [11]  [  70/1251]  eta: 0:14:13  lr: 0.000003  loss: 2.6714 (2.6365)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [11]  [  80/1251]  eta: 0:13:56  lr: 0.000003  loss: 2.6512 (2.6438)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [11]  [  90/1251]  eta: 0:13:42  lr: 0.000003  loss: 2.6816 (2.6368)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [11]  [ 100/1251]  eta: 0:13:29  lr: 0.000003  loss: 2.7173 (2.6421)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [11]  [ 110/1251]  eta: 0:13:17  lr: 0.000003  loss: 2.6173 (2.6310)  time: 0.6568  data: 0.0003  max mem: 36795
Epoch: [11]  [ 120/1251]  eta: 0:13:06  lr: 0.000003  loss: 2.5547 (2.6237)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [11]  [ 130/1251]  eta: 0:12:56  lr: 0.000003  loss: 2.6224 (2.6320)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [11]  [ 140/1251]  eta: 0:12:46  lr: 0.000003  loss: 2.6668 (2.6249)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [11]  [ 150/1251]  eta: 0:12:37  lr: 0.000003  loss: 2.6022 (2.6252)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [11]  [ 160/1251]  eta: 0:12:28  lr: 0.000003  loss: 2.8065 (2.6312)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [11]  [ 170/1251]  eta: 0:12:19  lr: 0.000003  loss: 2.7832 (2.6358)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [11]  [ 180/1251]  eta: 0:12:11  lr: 0.000003  loss: 2.6292 (2.6305)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [11]  [ 190/1251]  eta: 0:12:03  lr: 0.000003  loss: 2.7791 (2.6393)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [11]  [ 200/1251]  eta: 0:11:55  lr: 0.000003  loss: 2.7081 (2.6392)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [11]  [ 210/1251]  eta: 0:11:47  lr: 0.000003  loss: 2.6382 (2.6420)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [11]  [ 220/1251]  eta: 0:11:39  lr: 0.000003  loss: 2.6382 (2.6386)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [11]  [ 230/1251]  eta: 0:11:31  lr: 0.000003  loss: 2.4342 (2.6354)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [11]  [ 240/1251]  eta: 0:11:24  lr: 0.000003  loss: 2.6021 (2.6269)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [11]  [ 250/1251]  eta: 0:11:16  lr: 0.000003  loss: 2.7991 (2.6318)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [11]  [ 260/1251]  eta: 0:11:09  lr: 0.000003  loss: 2.8157 (2.6331)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [11]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.6205 (2.6347)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [11]  [ 280/1251]  eta: 0:10:54  lr: 0.000003  loss: 2.6205 (2.6355)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [11]  [ 290/1251]  eta: 0:10:47  lr: 0.000003  loss: 2.6898 (2.6361)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [11]  [ 300/1251]  eta: 0:10:40  lr: 0.000003  loss: 2.7781 (2.6402)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [11]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.7781 (2.6438)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [11]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.8363 (2.6437)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [11]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.8255 (2.6440)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [11]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.7084 (2.6474)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [11]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.7084 (2.6486)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [11]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.6874 (2.6470)  time: 0.6598  data: 0.0003  max mem: 36795
Epoch: [11]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.7620 (2.6509)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [11]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.7697 (2.6504)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [11]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.7559 (2.6550)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [11]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.7454 (2.6550)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [11]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.7494 (2.6541)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [11]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.7973 (2.6540)  time: 0.6591  data: 0.0002  max mem: 36795
Epoch: [11]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.7105 (2.6527)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [11]  [ 440/1251]  eta: 0:09:02  lr: 0.000003  loss: 2.7390 (2.6527)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [11]  [ 450/1251]  eta: 0:08:55  lr: 0.000003  loss: 2.7868 (2.6556)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [11]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.8432 (2.6598)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [11]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.8774 (2.6598)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [11]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.8183 (2.6590)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [11]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.8111 (2.6600)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [11]  [ 500/1251]  eta: 0:08:21  lr: 0.000003  loss: 2.8211 (2.6610)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [11]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.8438 (2.6615)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [11]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.8401 (2.6649)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [11]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.9109 (2.6698)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [11]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.8070 (2.6676)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [11]  [ 550/1251]  eta: 0:07:47  lr: 0.000003  loss: 2.6113 (2.6655)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [11]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.7735 (2.6662)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [11]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.7642 (2.6638)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [11]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.5488 (2.6614)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [11]  [ 590/1251]  eta: 0:07:20  lr: 0.000003  loss: 2.6745 (2.6632)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [11]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.7566 (2.6637)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [11]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.6553 (2.6619)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [11]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.6781 (2.6635)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [11]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.6864 (2.6617)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [11]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.7682 (2.6616)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [11]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.8299 (2.6618)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [11]  [ 660/1251]  eta: 0:06:33  lr: 0.000003  loss: 2.5584 (2.6597)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [11]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.5995 (2.6612)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [11]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7946 (2.6612)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [11]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.7010 (2.6593)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [11]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.7010 (2.6601)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [11]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7813 (2.6612)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [11]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.7170 (2.6604)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [11]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.6856 (2.6588)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [11]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.6856 (2.6570)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [11]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.2972 (2.6520)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [11]  [ 760/1251]  eta: 0:05:26  lr: 0.000003  loss: 2.5180 (2.6510)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [11]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.5743 (2.6487)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [11]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.5743 (2.6478)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [11]  [ 790/1251]  eta: 0:05:06  lr: 0.000003  loss: 2.5202 (2.6441)  time: 0.6608  data: 0.0003  max mem: 36795
Epoch: [11]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.4650 (2.6443)  time: 0.6609  data: 0.0003  max mem: 36795
Epoch: [11]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.4773 (2.6424)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [11]  [ 820/1251]  eta: 0:04:46  lr: 0.000003  loss: 2.5462 (2.6430)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [11]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.6517 (2.6434)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [11]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7594 (2.6444)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [11]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.7704 (2.6448)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [11]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7249 (2.6433)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [11]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.5777 (2.6438)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [11]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.6677 (2.6430)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [11]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7227 (2.6433)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [11]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.6802 (2.6423)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [11]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.6198 (2.6414)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [11]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.6273 (2.6423)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [11]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7484 (2.6420)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [11]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7484 (2.6432)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [11]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.8003 (2.6440)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [11]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.7771 (2.6431)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [11]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.6674 (2.6426)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [11]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7275 (2.6416)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [11]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.5584 (2.6395)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [11]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.6651 (2.6401)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [11]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7297 (2.6410)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [11]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.7374 (2.6405)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [11]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.6785 (2.6398)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [11]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6785 (2.6395)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [11]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.8510 (2.6418)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [11]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.8721 (2.6424)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [11]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.8721 (2.6434)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [11]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.7925 (2.6432)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [11]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7002 (2.6426)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [11]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.6963 (2.6420)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [11]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.5170 (2.6399)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [11]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.4239 (2.6400)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [11]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.7683 (2.6391)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [11]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6857 (2.6394)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [11]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.6857 (2.6394)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [11]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.8653 (2.6406)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [11]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.8318 (2.6408)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [11]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.6548 (2.6399)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [11]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.7121 (2.6411)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [11]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.7651 (2.6408)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [11]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.7651 (2.6415)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [11]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7182 (2.6421)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [11]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.7182 (2.6411)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [11]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7336 (2.6408)  time: 0.6577  data: 0.0009  max mem: 36795
Epoch: [11]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7325 (2.6391)  time: 0.6568  data: 0.0008  max mem: 36795
Epoch: [11] Total time: 0:13:48 (0.6622 s / it)
Averaged stats: lr: 0.000003  loss: 2.7325 (2.6416)
Test:  [ 0/25]  eta: 0:03:29  loss: 0.5504 (0.5504)  acc1: 91.2000 (91.2000)  acc5: 99.2000 (99.2000)  time: 8.3804  data: 7.9014  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.7021 (0.6881)  acc1: 87.2000 (87.3818)  acc5: 98.0000 (98.0364)  time: 1.1124  data: 0.7186  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8061 (0.8137)  acc1: 82.0000 (83.7714)  acc5: 97.2000 (97.1048)  time: 0.3846  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9069 (0.8228)  acc1: 80.8000 (83.4560)  acc5: 96.8000 (97.0880)  time: 0.3808  data: 0.0001  max mem: 36795
Test: Total time: 0:00:17 (0.7199 s / it)
* Acc@1 84.188 Acc@5 97.064 loss 0.811
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.24%
Epoch: [12]  [   0/1251]  eta: 1:39:37  lr: 0.000003  loss: 2.6832 (2.6832)  time: 4.7778  data: 2.8168  max mem: 36795
Epoch: [12]  [  10/1251]  eta: 0:21:45  lr: 0.000003  loss: 2.7736 (2.6850)  time: 1.0519  data: 0.2563  max mem: 36795
Epoch: [12]  [  20/1251]  eta: 0:17:43  lr: 0.000003  loss: 2.5535 (2.6136)  time: 0.6681  data: 0.0002  max mem: 36795
Epoch: [12]  [  30/1251]  eta: 0:16:14  lr: 0.000003  loss: 2.5391 (2.6106)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [12]  [  40/1251]  eta: 0:15:24  lr: 0.000003  loss: 2.7148 (2.5841)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [12]  [  50/1251]  eta: 0:14:51  lr: 0.000003  loss: 2.6643 (2.5986)  time: 0.6569  data: 0.0002  max mem: 36795
Epoch: [12]  [  60/1251]  eta: 0:14:27  lr: 0.000003  loss: 2.6903 (2.5968)  time: 0.6568  data: 0.0003  max mem: 36795
Epoch: [12]  [  70/1251]  eta: 0:14:08  lr: 0.000003  loss: 2.7555 (2.6124)  time: 0.6569  data: 0.0002  max mem: 36795
Epoch: [12]  [  80/1251]  eta: 0:13:52  lr: 0.000003  loss: 2.7643 (2.6069)  time: 0.6570  data: 0.0002  max mem: 36795
Epoch: [12]  [  90/1251]  eta: 0:13:38  lr: 0.000003  loss: 2.7096 (2.6189)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [12]  [ 100/1251]  eta: 0:13:26  lr: 0.000003  loss: 2.7787 (2.6243)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [12]  [ 110/1251]  eta: 0:13:14  lr: 0.000003  loss: 2.7174 (2.6245)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [12]  [ 120/1251]  eta: 0:13:03  lr: 0.000003  loss: 2.6361 (2.6307)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [12]  [ 130/1251]  eta: 0:12:54  lr: 0.000003  loss: 2.8183 (2.6377)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [12]  [ 140/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.7598 (2.6504)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [12]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.7412 (2.6487)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [12]  [ 160/1251]  eta: 0:12:26  lr: 0.000003  loss: 2.6875 (2.6504)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [12]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.7454 (2.6497)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [12]  [ 180/1251]  eta: 0:12:09  lr: 0.000003  loss: 2.7454 (2.6469)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [12]  [ 190/1251]  eta: 0:12:01  lr: 0.000003  loss: 2.4750 (2.6311)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [12]  [ 200/1251]  eta: 0:11:53  lr: 0.000003  loss: 2.4327 (2.6285)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [12]  [ 210/1251]  eta: 0:11:45  lr: 0.000003  loss: 2.8303 (2.6393)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [12]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.7788 (2.6338)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [12]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.7287 (2.6364)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [12]  [ 240/1251]  eta: 0:11:22  lr: 0.000003  loss: 2.7723 (2.6388)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [12]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.7435 (2.6357)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [12]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.5967 (2.6328)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [12]  [ 270/1251]  eta: 0:11:00  lr: 0.000003  loss: 2.5816 (2.6267)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [12]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.5787 (2.6223)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [12]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.7217 (2.6298)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [12]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.7977 (2.6313)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [12]  [ 310/1251]  eta: 0:10:31  lr: 0.000003  loss: 2.7977 (2.6354)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [12]  [ 320/1251]  eta: 0:10:24  lr: 0.000003  loss: 2.7782 (2.6341)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [12]  [ 330/1251]  eta: 0:10:17  lr: 0.000003  loss: 2.6856 (2.6330)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [12]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.6322 (2.6288)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [12]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.6322 (2.6267)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [12]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.7730 (2.6296)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [12]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.7617 (2.6258)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [12]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.6856 (2.6276)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [12]  [ 390/1251]  eta: 0:09:35  lr: 0.000003  loss: 2.7828 (2.6314)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [12]  [ 400/1251]  eta: 0:09:28  lr: 0.000003  loss: 2.8710 (2.6355)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [12]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.8292 (2.6372)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [12]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.8292 (2.6400)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [12]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.8663 (2.6425)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [12]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.7846 (2.6410)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [12]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.7846 (2.6424)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [12]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.8172 (2.6413)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [12]  [ 470/1251]  eta: 0:08:40  lr: 0.000003  loss: 2.5704 (2.6409)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [12]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.3160 (2.6310)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [12]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.5179 (2.6354)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [12]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.8718 (2.6349)  time: 0.6601  data: 0.0003  max mem: 36795
Epoch: [12]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.7504 (2.6345)  time: 0.6613  data: 0.0003  max mem: 36795
Epoch: [12]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.6809 (2.6357)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [12]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.6236 (2.6345)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [12]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.6621 (2.6358)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [12]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.6658 (2.6376)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [12]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.7880 (2.6390)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [12]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.7627 (2.6379)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [12]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.5573 (2.6339)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [12]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.3467 (2.6302)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [12]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.8251 (2.6349)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [12]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.8744 (2.6359)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [12]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.7907 (2.6368)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [12]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.7160 (2.6351)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [12]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.5623 (2.6340)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [12]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.5896 (2.6339)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [12]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.7760 (2.6362)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [12]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.8545 (2.6387)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [12]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7717 (2.6389)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [12]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.6862 (2.6388)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [12]  [ 700/1251]  eta: 0:06:05  lr: 0.000003  loss: 2.6743 (2.6396)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [12]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.6758 (2.6387)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [12]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.7946 (2.6398)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [12]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.8008 (2.6421)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [12]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.6992 (2.6400)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [12]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.6365 (2.6397)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [12]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.6801 (2.6385)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [12]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.4688 (2.6350)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [12]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.5844 (2.6338)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [12]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.6738 (2.6317)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [12]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6813 (2.6342)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [12]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.8268 (2.6362)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [12]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.7705 (2.6365)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [12]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.7077 (2.6356)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [12]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.6132 (2.6354)  time: 0.6565  data: 0.0003  max mem: 36795
Epoch: [12]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.5384 (2.6330)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [12]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.3972 (2.6311)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [12]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.6844 (2.6320)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [12]  [ 880/1251]  eta: 0:04:05  lr: 0.000003  loss: 2.7562 (2.6323)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [12]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.6795 (2.6310)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [12]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.4459 (2.6283)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [12]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.5745 (2.6287)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [12]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.7430 (2.6290)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [12]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7430 (2.6294)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [12]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.8731 (2.6303)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [12]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.6878 (2.6293)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [12]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.5458 (2.6279)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [12]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.6022 (2.6288)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [12]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.6022 (2.6286)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [12]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.8463 (2.6315)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [12]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.9487 (2.6340)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [12]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7828 (2.6327)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [12]  [1020/1251]  eta: 0:02:32  lr: 0.000003  loss: 2.4985 (2.6311)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [12]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.3807 (2.6297)  time: 0.6602  data: 0.0003  max mem: 36795
Epoch: [12]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6786 (2.6326)  time: 0.6604  data: 0.0003  max mem: 36795
Epoch: [12]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.8296 (2.6317)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [12]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.6885 (2.6309)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [12]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7577 (2.6325)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [12]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.8136 (2.6334)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [12]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7390 (2.6327)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [12]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7344 (2.6340)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [12]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.7004 (2.6341)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [12]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6604 (2.6350)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [12]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6419 (2.6355)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [12]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.4071 (2.6323)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [12]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.3694 (2.6316)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [12]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.5097 (2.6301)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [12]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.6239 (2.6316)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [12]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.7936 (2.6327)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [12]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.7538 (2.6338)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [12]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.7376 (2.6342)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [12]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.6172 (2.6332)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [12]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7403 (2.6339)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [12]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.8398 (2.6344)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [12]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7500 (2.6348)  time: 0.6578  data: 0.0008  max mem: 36795
Epoch: [12]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.6507 (2.6334)  time: 0.6574  data: 0.0008  max mem: 36795
Epoch: [12] Total time: 0:13:48 (0.6620 s / it)
Averaged stats: lr: 0.000003  loss: 2.6507 (2.6449)
Test:  [ 0/25]  eta: 0:03:18  loss: 0.5450 (0.5450)  acc1: 90.4000 (90.4000)  acc5: 99.2000 (99.2000)  time: 7.9367  data: 7.5435  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.6980 (0.6821)  acc1: 86.8000 (87.2364)  acc5: 98.0000 (98.1091)  time: 1.0860  data: 0.6861  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8005 (0.8088)  acc1: 81.6000 (83.8095)  acc5: 97.2000 (97.0476)  time: 0.3889  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9065 (0.8187)  acc1: 80.4000 (83.5040)  acc5: 96.4000 (96.9920)  time: 0.3850  data: 0.0001  max mem: 36795
Test: Total time: 0:00:17 (0.7021 s / it)
* Acc@1 84.214 Acc@5 97.058 loss 0.807
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.24%
Epoch: [13]  [   0/1251]  eta: 1:43:41  lr: 0.000003  loss: 1.7618 (1.7618)  time: 4.9729  data: 4.2940  max mem: 36795
Epoch: [13]  [  10/1251]  eta: 0:22:00  lr: 0.000003  loss: 2.6803 (2.5341)  time: 1.0644  data: 0.3906  max mem: 36795
Epoch: [13]  [  20/1251]  eta: 0:17:51  lr: 0.000003  loss: 2.8317 (2.6683)  time: 0.6657  data: 0.0002  max mem: 36795
Epoch: [13]  [  30/1251]  eta: 0:16:19  lr: 0.000003  loss: 2.7183 (2.6266)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [13]  [  40/1251]  eta: 0:15:28  lr: 0.000003  loss: 2.7374 (2.6761)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [13]  [  50/1251]  eta: 0:14:55  lr: 0.000003  loss: 2.7655 (2.6537)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [13]  [  60/1251]  eta: 0:14:30  lr: 0.000003  loss: 2.6806 (2.6166)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [13]  [  70/1251]  eta: 0:14:10  lr: 0.000003  loss: 2.5683 (2.6038)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [13]  [  80/1251]  eta: 0:13:54  lr: 0.000003  loss: 2.6826 (2.6085)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [13]  [  90/1251]  eta: 0:13:40  lr: 0.000003  loss: 2.7161 (2.6283)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [13]  [ 100/1251]  eta: 0:13:27  lr: 0.000003  loss: 2.7656 (2.6315)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [13]  [ 110/1251]  eta: 0:13:16  lr: 0.000003  loss: 2.8556 (2.6462)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [13]  [ 120/1251]  eta: 0:13:05  lr: 0.000003  loss: 2.7832 (2.6260)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [13]  [ 130/1251]  eta: 0:12:55  lr: 0.000003  loss: 2.6497 (2.6323)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [13]  [ 140/1251]  eta: 0:12:45  lr: 0.000003  loss: 2.7922 (2.6470)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [13]  [ 150/1251]  eta: 0:12:36  lr: 0.000003  loss: 2.5979 (2.6267)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [13]  [ 160/1251]  eta: 0:12:27  lr: 0.000003  loss: 2.5979 (2.6378)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [13]  [ 170/1251]  eta: 0:12:19  lr: 0.000003  loss: 2.8200 (2.6524)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [13]  [ 180/1251]  eta: 0:12:10  lr: 0.000003  loss: 2.8657 (2.6586)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [13]  [ 190/1251]  eta: 0:12:02  lr: 0.000003  loss: 2.8312 (2.6631)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [13]  [ 200/1251]  eta: 0:11:54  lr: 0.000003  loss: 2.6634 (2.6586)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [13]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.5376 (2.6530)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [13]  [ 220/1251]  eta: 0:11:39  lr: 0.000003  loss: 2.6286 (2.6564)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [13]  [ 230/1251]  eta: 0:11:31  lr: 0.000003  loss: 2.7704 (2.6518)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [13]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.6218 (2.6465)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [13]  [ 250/1251]  eta: 0:11:16  lr: 0.000003  loss: 2.6453 (2.6415)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [13]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.8345 (2.6464)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [13]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.6405 (2.6381)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [13]  [ 280/1251]  eta: 0:10:54  lr: 0.000003  loss: 2.6405 (2.6418)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [13]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.8437 (2.6449)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [13]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.8001 (2.6482)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [13]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.7832 (2.6516)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [13]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.8183 (2.6502)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [13]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.8358 (2.6523)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [13]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.7765 (2.6543)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [13]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.6878 (2.6542)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [13]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.5955 (2.6537)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [13]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.7358 (2.6534)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [13]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.7937 (2.6546)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [13]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.7209 (2.6541)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [13]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.4340 (2.6503)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [13]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.5926 (2.6487)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [13]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.4527 (2.6440)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [13]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.5700 (2.6456)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [13]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.6939 (2.6443)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [13]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.8277 (2.6479)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [13]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.8277 (2.6488)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [13]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.8196 (2.6470)  time: 0.6610  data: 0.0003  max mem: 36795
Epoch: [13]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.7314 (2.6468)  time: 0.6606  data: 0.0002  max mem: 36795
Epoch: [13]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7314 (2.6482)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [13]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.8311 (2.6503)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [13]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.5910 (2.6450)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [13]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.3818 (2.6439)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [13]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.5828 (2.6439)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [13]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.6907 (2.6443)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [13]  [ 550/1251]  eta: 0:07:47  lr: 0.000003  loss: 2.6443 (2.6442)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [13]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.5904 (2.6401)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [13]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.6059 (2.6420)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [13]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.8585 (2.6441)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [13]  [ 590/1251]  eta: 0:07:20  lr: 0.000003  loss: 2.8099 (2.6454)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [13]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.8099 (2.6464)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [13]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.6694 (2.6469)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [13]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.7548 (2.6455)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [13]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.7548 (2.6472)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [13]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.6954 (2.6444)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [13]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.5740 (2.6437)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [13]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.7171 (2.6444)  time: 0.6613  data: 0.0003  max mem: 36795
Epoch: [13]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.6788 (2.6439)  time: 0.6614  data: 0.0003  max mem: 36795
Epoch: [13]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.5800 (2.6425)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [13]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.8122 (2.6445)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [13]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.7285 (2.6451)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [13]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.6794 (2.6457)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [13]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.6794 (2.6454)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [13]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.5805 (2.6441)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [13]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.5805 (2.6446)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [13]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.8828 (2.6470)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [13]  [ 760/1251]  eta: 0:05:26  lr: 0.000003  loss: 2.8477 (2.6481)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [13]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.7779 (2.6458)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [13]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.5891 (2.6423)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [13]  [ 790/1251]  eta: 0:05:06  lr: 0.000003  loss: 2.7210 (2.6442)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [13]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.8081 (2.6430)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [13]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.7140 (2.6441)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [13]  [ 820/1251]  eta: 0:04:46  lr: 0.000003  loss: 2.7783 (2.6465)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [13]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.8409 (2.6482)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [13]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.8409 (2.6498)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [13]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.7574 (2.6482)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [13]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7273 (2.6472)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [13]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.7652 (2.6487)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [13]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.7021 (2.6470)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [13]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.6726 (2.6476)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [13]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.5642 (2.6452)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [13]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.5642 (2.6450)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [13]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.7939 (2.6452)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [13]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.8225 (2.6475)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [13]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.8070 (2.6474)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [13]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.4980 (2.6451)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [13]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.7661 (2.6461)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [13]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.7661 (2.6461)  time: 0.6598  data: 0.0003  max mem: 36795
Epoch: [13]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7904 (2.6488)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [13]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.7272 (2.6472)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [13]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.5384 (2.6456)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [13]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.6907 (2.6463)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [13]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.8669 (2.6472)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [13]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.8056 (2.6465)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [13]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6311 (2.6464)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [13]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.6850 (2.6471)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [13]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7890 (2.6481)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [13]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7962 (2.6489)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [13]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.7552 (2.6471)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [13]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.6558 (2.6473)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [13]  [1100/1251]  eta: 0:01:40  lr: 0.000003  loss: 2.6558 (2.6471)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [13]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.7053 (2.6465)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [13]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.8420 (2.6461)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [13]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.7882 (2.6458)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [13]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.7296 (2.6448)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [13]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.6860 (2.6448)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [13]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.5815 (2.6429)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [13]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.5022 (2.6416)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [13]  [1180/1251]  eta: 0:00:47  lr: 0.000003  loss: 2.4458 (2.6395)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [13]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.3516 (2.6375)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [13]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.4638 (2.6369)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [13]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.6923 (2.6369)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [13]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.6923 (2.6368)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [13]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.6731 (2.6366)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [13]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.8043 (2.6378)  time: 0.6579  data: 0.0009  max mem: 36795
Epoch: [13]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7750 (2.6362)  time: 0.6569  data: 0.0008  max mem: 36795
Epoch: [13] Total time: 0:13:48 (0.6624 s / it)
Averaged stats: lr: 0.000003  loss: 2.7750 (2.6349)
Test:  [ 0/25]  eta: 0:03:12  loss: 0.5493 (0.5493)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 7.6971  data: 7.3253  max mem: 36795
Test:  [10/25]  eta: 0:00:15  loss: 0.7010 (0.6862)  acc1: 87.6000 (87.4182)  acc5: 98.0000 (98.1455)  time: 1.0539  data: 0.6663  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8013 (0.8083)  acc1: 82.4000 (83.9048)  acc5: 96.8000 (97.1048)  time: 0.3890  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.8976 (0.8174)  acc1: 81.2000 (83.6320)  acc5: 96.8000 (97.0720)  time: 0.3884  data: 0.0002  max mem: 36795
Test: Total time: 0:00:17 (0.6950 s / it)
* Acc@1 84.254 Acc@5 97.056 loss 0.806
Accuracy of the network on the 50000 test images: 84.3%
Max accuracy: 84.25%
Epoch: [14]  [   0/1251]  eta: 1:51:24  lr: 0.000003  loss: 3.3020 (3.3020)  time: 5.3429  data: 4.6788  max mem: 36795
Epoch: [14]  [  10/1251]  eta: 0:22:26  lr: 0.000003  loss: 2.5005 (2.4788)  time: 1.0850  data: 0.4256  max mem: 36795
Epoch: [14]  [  20/1251]  eta: 0:18:05  lr: 0.000003  loss: 2.4766 (2.4961)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [14]  [  30/1251]  eta: 0:16:28  lr: 0.000003  loss: 2.8350 (2.5885)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [14]  [  40/1251]  eta: 0:15:34  lr: 0.000003  loss: 2.8350 (2.5833)  time: 0.6565  data: 0.0003  max mem: 36795
Epoch: [14]  [  50/1251]  eta: 0:15:00  lr: 0.000003  loss: 2.7004 (2.6078)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [14]  [  60/1251]  eta: 0:14:34  lr: 0.000003  loss: 2.7193 (2.6290)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [14]  [  70/1251]  eta: 0:14:14  lr: 0.000003  loss: 2.7426 (2.6443)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [14]  [  80/1251]  eta: 0:13:57  lr: 0.000003  loss: 2.7964 (2.6461)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [14]  [  90/1251]  eta: 0:13:43  lr: 0.000003  loss: 2.6830 (2.6394)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [14]  [ 100/1251]  eta: 0:13:30  lr: 0.000003  loss: 2.8328 (2.6597)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [14]  [ 110/1251]  eta: 0:13:18  lr: 0.000003  loss: 2.7890 (2.6464)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [14]  [ 120/1251]  eta: 0:13:07  lr: 0.000003  loss: 2.6593 (2.6421)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [14]  [ 130/1251]  eta: 0:12:57  lr: 0.000003  loss: 2.7496 (2.6552)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [14]  [ 140/1251]  eta: 0:12:47  lr: 0.000003  loss: 2.7420 (2.6516)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [14]  [ 150/1251]  eta: 0:12:38  lr: 0.000003  loss: 2.7603 (2.6597)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [14]  [ 160/1251]  eta: 0:12:29  lr: 0.000003  loss: 2.7521 (2.6638)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [14]  [ 170/1251]  eta: 0:12:20  lr: 0.000003  loss: 2.5995 (2.6619)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [14]  [ 180/1251]  eta: 0:12:12  lr: 0.000003  loss: 2.6618 (2.6635)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [14]  [ 190/1251]  eta: 0:12:03  lr: 0.000003  loss: 2.6111 (2.6547)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [14]  [ 200/1251]  eta: 0:11:55  lr: 0.000003  loss: 2.5649 (2.6588)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [14]  [ 210/1251]  eta: 0:11:47  lr: 0.000003  loss: 2.8201 (2.6597)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [14]  [ 220/1251]  eta: 0:11:40  lr: 0.000003  loss: 2.7999 (2.6607)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [14]  [ 230/1251]  eta: 0:11:32  lr: 0.000003  loss: 2.7297 (2.6590)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [14]  [ 240/1251]  eta: 0:11:24  lr: 0.000003  loss: 2.5756 (2.6540)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [14]  [ 250/1251]  eta: 0:11:17  lr: 0.000003  loss: 2.5941 (2.6516)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [14]  [ 260/1251]  eta: 0:11:09  lr: 0.000003  loss: 2.6720 (2.6515)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [14]  [ 270/1251]  eta: 0:11:02  lr: 0.000003  loss: 2.7002 (2.6468)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [14]  [ 280/1251]  eta: 0:10:55  lr: 0.000003  loss: 2.8074 (2.6540)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [14]  [ 290/1251]  eta: 0:10:47  lr: 0.000003  loss: 2.8960 (2.6589)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [14]  [ 300/1251]  eta: 0:10:40  lr: 0.000003  loss: 2.8340 (2.6636)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [14]  [ 310/1251]  eta: 0:10:33  lr: 0.000003  loss: 2.8439 (2.6676)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [14]  [ 320/1251]  eta: 0:10:26  lr: 0.000003  loss: 2.7263 (2.6656)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [14]  [ 330/1251]  eta: 0:10:19  lr: 0.000003  loss: 2.7055 (2.6666)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [14]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.7817 (2.6702)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [14]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.8019 (2.6672)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [14]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.8019 (2.6665)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [14]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.6506 (2.6650)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [14]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.6343 (2.6609)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [14]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.7879 (2.6642)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [14]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.7879 (2.6587)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [14]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.6847 (2.6583)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [14]  [ 420/1251]  eta: 0:09:16  lr: 0.000003  loss: 2.8164 (2.6552)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [14]  [ 430/1251]  eta: 0:09:09  lr: 0.000003  loss: 2.4209 (2.6492)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [14]  [ 440/1251]  eta: 0:09:02  lr: 0.000003  loss: 2.4959 (2.6506)  time: 0.6591  data: 0.0002  max mem: 36795
Epoch: [14]  [ 450/1251]  eta: 0:08:55  lr: 0.000003  loss: 2.7032 (2.6497)  time: 0.6589  data: 0.0002  max mem: 36795
Epoch: [14]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.5978 (2.6494)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [14]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.8307 (2.6509)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [14]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.8349 (2.6507)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [14]  [ 490/1251]  eta: 0:08:28  lr: 0.000003  loss: 2.7432 (2.6516)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [14]  [ 500/1251]  eta: 0:08:21  lr: 0.000003  loss: 2.6942 (2.6475)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [14]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.7300 (2.6500)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [14]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.8388 (2.6544)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [14]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.7643 (2.6517)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [14]  [ 540/1251]  eta: 0:07:54  lr: 0.000003  loss: 2.6763 (2.6499)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [14]  [ 550/1251]  eta: 0:07:47  lr: 0.000003  loss: 2.6419 (2.6486)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [14]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.6919 (2.6478)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [14]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.8024 (2.6489)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [14]  [ 580/1251]  eta: 0:07:27  lr: 0.000003  loss: 2.7082 (2.6466)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [14]  [ 590/1251]  eta: 0:07:20  lr: 0.000003  loss: 2.6609 (2.6456)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [14]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.6251 (2.6429)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [14]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.4554 (2.6399)  time: 0.6589  data: 0.0002  max mem: 36795
Epoch: [14]  [ 620/1251]  eta: 0:07:00  lr: 0.000003  loss: 2.6011 (2.6393)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [14]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.8482 (2.6433)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [14]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.8933 (2.6456)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [14]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.7293 (2.6439)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [14]  [ 660/1251]  eta: 0:06:33  lr: 0.000003  loss: 2.6364 (2.6442)  time: 0.6602  data: 0.0003  max mem: 36795
Epoch: [14]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.6364 (2.6429)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [14]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7827 (2.6452)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [14]  [ 690/1251]  eta: 0:06:13  lr: 0.000003  loss: 2.6646 (2.6412)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [14]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.6415 (2.6406)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [14]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.8028 (2.6427)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [14]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.8276 (2.6457)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [14]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.9494 (2.6470)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [14]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.8107 (2.6459)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [14]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.8107 (2.6491)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [14]  [ 760/1251]  eta: 0:05:26  lr: 0.000003  loss: 2.8581 (2.6481)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [14]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.4942 (2.6475)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [14]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.6942 (2.6486)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [14]  [ 790/1251]  eta: 0:05:06  lr: 0.000003  loss: 2.8006 (2.6488)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [14]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.7869 (2.6482)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [14]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.8478 (2.6502)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [14]  [ 820/1251]  eta: 0:04:46  lr: 0.000003  loss: 2.7675 (2.6478)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [14]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.6644 (2.6463)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [14]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7374 (2.6477)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [14]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.7732 (2.6473)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [14]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7732 (2.6468)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [14]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.7324 (2.6464)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [14]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.7147 (2.6460)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [14]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7190 (2.6463)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [14]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.7093 (2.6456)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [14]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.4736 (2.6449)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [14]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.7433 (2.6452)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [14]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7433 (2.6447)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [14]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.6001 (2.6423)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [14]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.6001 (2.6431)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [14]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.6253 (2.6420)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [14]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.5625 (2.6415)  time: 0.6598  data: 0.0003  max mem: 36795
Epoch: [14]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.6326 (2.6416)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [14]  [ 990/1251]  eta: 0:02:53  lr: 0.000003  loss: 2.5440 (2.6384)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [14]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.5267 (2.6387)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [14]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7809 (2.6389)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [14]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.6754 (2.6378)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [14]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.6754 (2.6386)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [14]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.8631 (2.6393)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [14]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7952 (2.6383)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [14]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7635 (2.6400)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [14]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.6771 (2.6380)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [14]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.5178 (2.6376)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [14]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7383 (2.6379)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [14]  [1100/1251]  eta: 0:01:40  lr: 0.000003  loss: 2.6396 (2.6369)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [14]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.6843 (2.6364)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [14]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6528 (2.6354)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [14]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6770 (2.6358)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [14]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.8526 (2.6365)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [14]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.8420 (2.6381)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [14]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.7652 (2.6392)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [14]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.7652 (2.6394)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [14]  [1180/1251]  eta: 0:00:47  lr: 0.000003  loss: 2.7365 (2.6394)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [14]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.4310 (2.6379)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [14]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.4747 (2.6385)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [14]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.7154 (2.6389)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [14]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.6740 (2.6380)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [14]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.6589 (2.6374)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [14]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.8595 (2.6386)  time: 0.6572  data: 0.0008  max mem: 36795
Epoch: [14]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7367 (2.6365)  time: 0.6565  data: 0.0008  max mem: 36795
Epoch: [14] Total time: 0:13:48 (0.6624 s / it)
Averaged stats: lr: 0.000003  loss: 2.7367 (2.6412)
Test:  [ 0/25]  eta: 0:03:26  loss: 0.5298 (0.5298)  acc1: 91.2000 (91.2000)  acc5: 99.2000 (99.2000)  time: 8.2509  data: 7.8793  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.6826 (0.6689)  acc1: 87.6000 (87.4182)  acc5: 98.0000 (98.1818)  time: 1.1087  data: 0.7166  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.7885 (0.7945)  acc1: 82.4000 (83.8667)  acc5: 97.2000 (97.1619)  time: 0.3860  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.8849 (0.8037)  acc1: 80.4000 (83.5360)  acc5: 96.8000 (97.1200)  time: 0.3806  data: 0.0001  max mem: 36795
Test: Total time: 0:00:18 (0.7201 s / it)
* Acc@1 84.224 Acc@5 97.056 loss 0.793
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.25%
Epoch: [15]  [   0/1251]  eta: 1:41:32  lr: 0.000003  loss: 2.3383 (2.3383)  time: 4.8699  data: 4.2147  max mem: 36795
Epoch: [15]  [  10/1251]  eta: 0:21:44  lr: 0.000003  loss: 2.5216 (2.5676)  time: 1.0510  data: 0.3834  max mem: 36795
Epoch: [15]  [  20/1251]  eta: 0:17:42  lr: 0.000003  loss: 2.5875 (2.5867)  time: 0.6631  data: 0.0002  max mem: 36795
Epoch: [15]  [  30/1251]  eta: 0:16:13  lr: 0.000003  loss: 2.7490 (2.6518)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [15]  [  40/1251]  eta: 0:15:25  lr: 0.000003  loss: 2.8587 (2.6310)  time: 0.6598  data: 0.0002  max mem: 36795
Epoch: [15]  [  50/1251]  eta: 0:14:53  lr: 0.000003  loss: 2.6353 (2.6043)  time: 0.6607  data: 0.0003  max mem: 36795
Epoch: [15]  [  60/1251]  eta: 0:14:28  lr: 0.000003  loss: 2.5376 (2.5867)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [15]  [  70/1251]  eta: 0:14:09  lr: 0.000003  loss: 2.7369 (2.6180)  time: 0.6566  data: 0.0003  max mem: 36795
Epoch: [15]  [  80/1251]  eta: 0:13:53  lr: 0.000003  loss: 2.8740 (2.6326)  time: 0.6568  data: 0.0003  max mem: 36795
Epoch: [15]  [  90/1251]  eta: 0:13:39  lr: 0.000003  loss: 2.7820 (2.6361)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [15]  [ 100/1251]  eta: 0:13:26  lr: 0.000003  loss: 2.5837 (2.6219)  time: 0.6568  data: 0.0003  max mem: 36795
Epoch: [15]  [ 110/1251]  eta: 0:13:15  lr: 0.000003  loss: 2.2580 (2.5945)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [15]  [ 120/1251]  eta: 0:13:04  lr: 0.000003  loss: 2.5002 (2.5920)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [15]  [ 130/1251]  eta: 0:12:54  lr: 0.000003  loss: 2.5434 (2.5854)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [15]  [ 140/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.6932 (2.5830)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [15]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.7423 (2.5964)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [ 160/1251]  eta: 0:12:26  lr: 0.000003  loss: 2.7423 (2.5967)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [15]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.5299 (2.5891)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [15]  [ 180/1251]  eta: 0:12:10  lr: 0.000003  loss: 2.7597 (2.5955)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [15]  [ 190/1251]  eta: 0:12:02  lr: 0.000003  loss: 2.8486 (2.5947)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [15]  [ 200/1251]  eta: 0:11:54  lr: 0.000003  loss: 2.7169 (2.6047)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [15]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.7329 (2.6119)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [15]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.8015 (2.6108)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [15]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.3786 (2.5950)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [15]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.3668 (2.5898)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [15]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.6390 (2.5938)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [15]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.6680 (2.5966)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [15]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.8215 (2.6019)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [15]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.6241 (2.5971)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [15]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.5826 (2.5989)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [15]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.7808 (2.6022)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [15]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.8010 (2.6072)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [15]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.7225 (2.6064)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [15]  [ 330/1251]  eta: 0:10:17  lr: 0.000003  loss: 2.7225 (2.6069)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.7844 (2.6138)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.7808 (2.6133)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [15]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.4213 (2.6072)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [15]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.4452 (2.6081)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [15]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.7424 (2.6113)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [15]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.7424 (2.6130)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [15]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.6950 (2.6154)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [15]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.6011 (2.6166)  time: 0.6605  data: 0.0003  max mem: 36795
Epoch: [15]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.6756 (2.6184)  time: 0.6608  data: 0.0003  max mem: 36795
Epoch: [15]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.7232 (2.6205)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [15]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.7191 (2.6203)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [15]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.7191 (2.6207)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [15]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.5682 (2.6167)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [15]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.5639 (2.6157)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [15]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.6488 (2.6155)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [15]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7283 (2.6171)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.7283 (2.6177)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [15]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.6887 (2.6205)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [15]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.7030 (2.6210)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [15]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.6983 (2.6197)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [15]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.6983 (2.6197)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [15]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.6946 (2.6173)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [15]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.5976 (2.6186)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [15]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.5976 (2.6171)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [15]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.5811 (2.6151)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [15]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.5720 (2.6129)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [15]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.5889 (2.6125)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [15]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.6282 (2.6113)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [15]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.6729 (2.6111)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [15]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.6821 (2.6108)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.7039 (2.6123)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [15]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.6218 (2.6099)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [15]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.5850 (2.6094)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [15]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.8333 (2.6138)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [15]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.8333 (2.6145)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [15]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.8184 (2.6171)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [15]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.7697 (2.6164)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [15]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.8498 (2.6190)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.7582 (2.6155)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [15]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.4655 (2.6141)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [15]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.6152 (2.6145)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [15]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.6077 (2.6138)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [15]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.5057 (2.6124)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [15]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.6642 (2.6132)  time: 0.6604  data: 0.0003  max mem: 36795
Epoch: [15]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.8031 (2.6138)  time: 0.6604  data: 0.0003  max mem: 36795
Epoch: [15]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.7407 (2.6147)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [15]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.8023 (2.6165)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [15]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.8488 (2.6159)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [15]  [ 820/1251]  eta: 0:04:46  lr: 0.000003  loss: 2.7043 (2.6151)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [15]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.6493 (2.6150)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [15]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7079 (2.6156)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [15]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.7315 (2.6153)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [15]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.5313 (2.6124)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.5994 (2.6139)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [15]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.7987 (2.6154)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7987 (2.6167)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [15]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.7546 (2.6169)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [15]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.6767 (2.6172)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [15]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.6496 (2.6168)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7586 (2.6190)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [15]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7954 (2.6201)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [15]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.6065 (2.6192)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [15]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.6065 (2.6194)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [15]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.8330 (2.6226)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [15]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.9599 (2.6252)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [15]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.8820 (2.6245)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [15]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.7306 (2.6259)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [15]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7093 (2.6249)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [15]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.6743 (2.6263)  time: 0.6613  data: 0.0003  max mem: 36795
Epoch: [15]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.7988 (2.6266)  time: 0.6611  data: 0.0003  max mem: 36795
Epoch: [15]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6163 (2.6254)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [15]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.6090 (2.6247)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [15]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.5671 (2.6234)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7513 (2.6252)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [15]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.7513 (2.6234)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [15]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.3190 (2.6224)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [15]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7261 (2.6222)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.5261 (2.6209)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [15]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6832 (2.6224)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [15]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.8352 (2.6237)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [15]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.7193 (2.6243)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [15]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.7931 (2.6228)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [15]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.7766 (2.6223)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [15]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.7766 (2.6225)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [15]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.7806 (2.6231)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [15]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.7651 (2.6236)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [15]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.5950 (2.6208)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [15]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.5728 (2.6215)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [15]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.8760 (2.6226)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [15]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.8760 (2.6239)  time: 0.6589  data: 0.0002  max mem: 36795
Epoch: [15]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7028 (2.6218)  time: 0.6582  data: 0.0008  max mem: 36795
Epoch: [15]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.5476 (2.6220)  time: 0.6566  data: 0.0008  max mem: 36795
Epoch: [15] Total time: 0:13:48 (0.6622 s / it)
Averaged stats: lr: 0.000003  loss: 2.5476 (2.6363)
Test:  [ 0/25]  eta: 0:02:26  loss: 0.5869 (0.5869)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 5.8688  data: 5.4971  max mem: 36795
Test:  [10/25]  eta: 0:00:15  loss: 0.7441 (0.7275)  acc1: 86.8000 (87.2727)  acc5: 98.0000 (98.0364)  time: 1.0411  data: 0.6480  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8457 (0.8517)  acc1: 82.8000 (83.7524)  acc5: 97.2000 (97.0667)  time: 0.4678  data: 0.0816  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9489 (0.8607)  acc1: 80.4000 (83.3920)  acc5: 96.8000 (97.0400)  time: 0.3803  data: 0.0001  max mem: 36795
Test: Total time: 0:00:16 (0.6778 s / it)
* Acc@1 84.180 Acc@5 97.052 loss 0.848
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.25%
Epoch: [16]  [   0/1251]  eta: 1:45:10  lr: 0.000003  loss: 2.5549 (2.5549)  time: 5.0441  data: 4.2864  max mem: 36795
Epoch: [16]  [  10/1251]  eta: 0:22:04  lr: 0.000003  loss: 2.8256 (2.7493)  time: 1.0676  data: 0.3899  max mem: 36795
Epoch: [16]  [  20/1251]  eta: 0:17:54  lr: 0.000003  loss: 2.8256 (2.7888)  time: 0.6641  data: 0.0002  max mem: 36795
Epoch: [16]  [  30/1251]  eta: 0:16:20  lr: 0.000003  loss: 2.8040 (2.7375)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [16]  [  40/1251]  eta: 0:15:29  lr: 0.000003  loss: 2.6111 (2.6797)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [16]  [  50/1251]  eta: 0:14:56  lr: 0.000003  loss: 2.5198 (2.6470)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [16]  [  60/1251]  eta: 0:14:31  lr: 0.000003  loss: 2.5894 (2.6616)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [16]  [  70/1251]  eta: 0:14:11  lr: 0.000003  loss: 2.7994 (2.6691)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [16]  [  80/1251]  eta: 0:13:55  lr: 0.000003  loss: 2.7092 (2.6542)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [16]  [  90/1251]  eta: 0:13:41  lr: 0.000003  loss: 2.6021 (2.6300)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [16]  [ 100/1251]  eta: 0:13:28  lr: 0.000003  loss: 2.3384 (2.6033)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [16]  [ 110/1251]  eta: 0:13:16  lr: 0.000003  loss: 2.5436 (2.6077)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [16]  [ 120/1251]  eta: 0:13:06  lr: 0.000003  loss: 2.7116 (2.6098)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [16]  [ 130/1251]  eta: 0:12:56  lr: 0.000003  loss: 2.6172 (2.5876)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [16]  [ 140/1251]  eta: 0:12:46  lr: 0.000003  loss: 2.6616 (2.6084)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [16]  [ 150/1251]  eta: 0:12:37  lr: 0.000003  loss: 2.8559 (2.6141)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [16]  [ 160/1251]  eta: 0:12:28  lr: 0.000003  loss: 2.6322 (2.6248)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [16]  [ 170/1251]  eta: 0:12:19  lr: 0.000003  loss: 2.6813 (2.6284)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [16]  [ 180/1251]  eta: 0:12:11  lr: 0.000003  loss: 2.6310 (2.6255)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [16]  [ 190/1251]  eta: 0:12:03  lr: 0.000003  loss: 2.7903 (2.6364)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [16]  [ 200/1251]  eta: 0:11:55  lr: 0.000003  loss: 2.8874 (2.6374)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [16]  [ 210/1251]  eta: 0:11:47  lr: 0.000003  loss: 2.7557 (2.6338)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [16]  [ 220/1251]  eta: 0:11:39  lr: 0.000003  loss: 2.7140 (2.6349)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [16]  [ 230/1251]  eta: 0:11:31  lr: 0.000003  loss: 2.5655 (2.6306)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [16]  [ 240/1251]  eta: 0:11:24  lr: 0.000003  loss: 2.5655 (2.6333)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [16]  [ 250/1251]  eta: 0:11:16  lr: 0.000003  loss: 2.7737 (2.6391)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [16]  [ 260/1251]  eta: 0:11:09  lr: 0.000003  loss: 2.7334 (2.6377)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [16]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.6672 (2.6431)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [16]  [ 280/1251]  eta: 0:10:54  lr: 0.000003  loss: 2.8620 (2.6469)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [16]  [ 290/1251]  eta: 0:10:47  lr: 0.000003  loss: 2.5156 (2.6393)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [16]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.4297 (2.6398)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [16]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.6440 (2.6419)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [16]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.8454 (2.6453)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [16]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.8757 (2.6474)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [16]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.8483 (2.6522)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [16]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.9120 (2.6583)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [16]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.8126 (2.6543)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [16]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.5111 (2.6479)  time: 0.6599  data: 0.0004  max mem: 36795
Epoch: [16]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.4191 (2.6420)  time: 0.6597  data: 0.0004  max mem: 36795
Epoch: [16]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.6631 (2.6444)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [16]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.7724 (2.6472)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [16]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.7866 (2.6488)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [16]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.7848 (2.6484)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [16]  [ 430/1251]  eta: 0:09:09  lr: 0.000003  loss: 2.8159 (2.6504)  time: 0.6603  data: 0.0003  max mem: 36795
Epoch: [16]  [ 440/1251]  eta: 0:09:02  lr: 0.000003  loss: 2.8159 (2.6526)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [16]  [ 450/1251]  eta: 0:08:55  lr: 0.000003  loss: 2.8239 (2.6573)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [16]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.8844 (2.6573)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [16]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.8844 (2.6574)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [16]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.8293 (2.6564)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [16]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7887 (2.6543)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [16]  [ 500/1251]  eta: 0:08:21  lr: 0.000003  loss: 2.6534 (2.6532)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [16]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.6049 (2.6528)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [16]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.7699 (2.6535)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [16]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.7699 (2.6536)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [16]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.6723 (2.6527)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [16]  [ 550/1251]  eta: 0:07:47  lr: 0.000003  loss: 2.6819 (2.6529)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [16]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.6146 (2.6481)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [16]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.4221 (2.6463)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [16]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.5831 (2.6439)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [16]  [ 590/1251]  eta: 0:07:20  lr: 0.000003  loss: 2.6430 (2.6458)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [16]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.6908 (2.6450)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [16]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.5652 (2.6458)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [16]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.7665 (2.6447)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [16]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.8059 (2.6449)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [16]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.7110 (2.6435)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [16]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.5944 (2.6395)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [16]  [ 660/1251]  eta: 0:06:33  lr: 0.000003  loss: 2.7216 (2.6390)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [16]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.8525 (2.6379)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [16]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.4174 (2.6322)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [16]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.5542 (2.6317)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [16]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.6295 (2.6312)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [16]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7882 (2.6316)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [16]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.5682 (2.6303)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [16]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.6788 (2.6320)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [16]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.6957 (2.6320)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [16]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.6957 (2.6330)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [16]  [ 760/1251]  eta: 0:05:26  lr: 0.000003  loss: 2.6985 (2.6329)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [16]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.5669 (2.6311)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [16]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.7553 (2.6339)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [16]  [ 790/1251]  eta: 0:05:06  lr: 0.000003  loss: 2.8183 (2.6325)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [16]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6022 (2.6314)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [16]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.5377 (2.6311)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [16]  [ 820/1251]  eta: 0:04:46  lr: 0.000003  loss: 2.5604 (2.6291)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [16]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.5044 (2.6278)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [16]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.6016 (2.6266)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [16]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.6713 (2.6274)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [16]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7051 (2.6278)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [16]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.6998 (2.6285)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [16]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.7141 (2.6280)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [16]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.8105 (2.6290)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [16]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.7282 (2.6283)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [16]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.7282 (2.6289)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [16]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.8107 (2.6302)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [16]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7375 (2.6299)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [16]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7053 (2.6303)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [16]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.7494 (2.6317)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [16]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.7494 (2.6319)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [16]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.7408 (2.6321)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [16]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.6445 (2.6307)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [16]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.3871 (2.6285)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [16]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.5254 (2.6285)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [16]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7825 (2.6292)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [16]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.7082 (2.6294)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [16]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.7754 (2.6317)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [16]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.7892 (2.6315)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [16]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7255 (2.6325)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [16]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7600 (2.6343)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [16]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7766 (2.6347)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [16]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.5558 (2.6327)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [16]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.6118 (2.6338)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [16]  [1100/1251]  eta: 0:01:40  lr: 0.000003  loss: 2.7739 (2.6328)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [16]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.6611 (2.6331)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [16]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6611 (2.6308)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [16]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.4236 (2.6307)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [16]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.8245 (2.6309)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [16]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.7563 (2.6312)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [16]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.7184 (2.6307)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [16]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.6253 (2.6293)  time: 0.6565  data: 0.0003  max mem: 36795
Epoch: [16]  [1180/1251]  eta: 0:00:47  lr: 0.000003  loss: 2.7030 (2.6304)  time: 0.6565  data: 0.0003  max mem: 36795
Epoch: [16]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.7521 (2.6308)  time: 0.6603  data: 0.0003  max mem: 36795
Epoch: [16]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.7559 (2.6317)  time: 0.6608  data: 0.0003  max mem: 36795
Epoch: [16]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.6476 (2.6291)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [16]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.6087 (2.6280)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [16]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.6304 (2.6273)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [16]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.4216 (2.6251)  time: 0.6578  data: 0.0008  max mem: 36795
Epoch: [16]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.3008 (2.6237)  time: 0.6566  data: 0.0008  max mem: 36795
Epoch: [16] Total time: 0:13:48 (0.6623 s / it)
Averaged stats: lr: 0.000003  loss: 2.3008 (2.6335)
Test:  [ 0/25]  eta: 0:02:42  loss: 0.5165 (0.5165)  acc1: 91.2000 (91.2000)  acc5: 99.2000 (99.2000)  time: 6.5183  data: 6.1466  max mem: 36795
Test:  [10/25]  eta: 0:00:14  loss: 0.6683 (0.6560)  acc1: 87.6000 (87.2364)  acc5: 98.0000 (98.1091)  time: 0.9425  data: 0.5591  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.7806 (0.7806)  acc1: 82.0000 (83.7333)  acc5: 97.2000 (97.1238)  time: 0.3852  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.8709 (0.7895)  acc1: 80.0000 (83.4240)  acc5: 96.8000 (97.0560)  time: 0.3841  data: 0.0001  max mem: 36795
Test: Total time: 0:00:15 (0.6373 s / it)
* Acc@1 84.170 Acc@5 97.052 loss 0.777
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.25%
Epoch: [17]  [   0/1251]  eta: 1:43:13  lr: 0.000003  loss: 2.8531 (2.8531)  time: 4.9511  data: 3.1331  max mem: 36795
Epoch: [17]  [  10/1251]  eta: 0:22:08  lr: 0.000003  loss: 2.6580 (2.6012)  time: 1.0703  data: 0.2851  max mem: 36795
Epoch: [17]  [  20/1251]  eta: 0:17:55  lr: 0.000003  loss: 2.6580 (2.6569)  time: 0.6700  data: 0.0002  max mem: 36795
Epoch: [17]  [  30/1251]  eta: 0:16:21  lr: 0.000003  loss: 2.6952 (2.6569)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [17]  [  40/1251]  eta: 0:15:30  lr: 0.000003  loss: 2.6139 (2.6600)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [17]  [  50/1251]  eta: 0:14:56  lr: 0.000003  loss: 2.6139 (2.6485)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [17]  [  60/1251]  eta: 0:14:32  lr: 0.000003  loss: 2.7149 (2.6373)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [17]  [  70/1251]  eta: 0:14:12  lr: 0.000003  loss: 2.6191 (2.6380)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [17]  [  80/1251]  eta: 0:13:55  lr: 0.000003  loss: 2.6191 (2.6206)  time: 0.6568  data: 0.0002  max mem: 36795
Epoch: [17]  [  90/1251]  eta: 0:13:41  lr: 0.000003  loss: 2.6798 (2.6226)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [17]  [ 100/1251]  eta: 0:13:28  lr: 0.000003  loss: 2.6798 (2.6287)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [17]  [ 110/1251]  eta: 0:13:16  lr: 0.000003  loss: 2.8116 (2.6516)  time: 0.6570  data: 0.0002  max mem: 36795
Epoch: [17]  [ 120/1251]  eta: 0:13:05  lr: 0.000003  loss: 2.7522 (2.6487)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [17]  [ 130/1251]  eta: 0:12:55  lr: 0.000003  loss: 2.7695 (2.6594)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [17]  [ 140/1251]  eta: 0:12:46  lr: 0.000003  loss: 2.7744 (2.6616)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [ 150/1251]  eta: 0:12:36  lr: 0.000003  loss: 2.6577 (2.6553)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [17]  [ 160/1251]  eta: 0:12:28  lr: 0.000003  loss: 2.7780 (2.6599)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [ 170/1251]  eta: 0:12:19  lr: 0.000003  loss: 2.8167 (2.6611)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [17]  [ 180/1251]  eta: 0:12:11  lr: 0.000003  loss: 2.5593 (2.6499)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [17]  [ 190/1251]  eta: 0:12:02  lr: 0.000003  loss: 2.8006 (2.6582)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [17]  [ 200/1251]  eta: 0:11:54  lr: 0.000003  loss: 2.8006 (2.6512)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [17]  [ 210/1251]  eta: 0:11:47  lr: 0.000003  loss: 2.7859 (2.6611)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [17]  [ 220/1251]  eta: 0:11:39  lr: 0.000003  loss: 2.8308 (2.6674)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [ 230/1251]  eta: 0:11:31  lr: 0.000003  loss: 2.7646 (2.6667)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.7607 (2.6688)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [17]  [ 250/1251]  eta: 0:11:16  lr: 0.000003  loss: 2.8543 (2.6712)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [17]  [ 260/1251]  eta: 0:11:09  lr: 0.000003  loss: 2.8839 (2.6820)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [17]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.8724 (2.6758)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [17]  [ 280/1251]  eta: 0:10:54  lr: 0.000003  loss: 2.8567 (2.6789)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [17]  [ 290/1251]  eta: 0:10:47  lr: 0.000003  loss: 2.9089 (2.6837)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [17]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.9280 (2.6908)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [17]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.8365 (2.6946)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [17]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.8147 (2.6885)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [17]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.7094 (2.6907)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [17]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.7712 (2.6890)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [17]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.6526 (2.6841)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [17]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.6526 (2.6839)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [17]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.7414 (2.6852)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [17]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.7528 (2.6862)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [17]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.7263 (2.6853)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [17]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.5652 (2.6801)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [17]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.5202 (2.6771)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [17]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.5335 (2.6752)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [17]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.5988 (2.6752)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [17]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.7019 (2.6774)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [17]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.7019 (2.6723)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [17]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.4393 (2.6684)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [17]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.4939 (2.6645)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.5838 (2.6626)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [17]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7292 (2.6620)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [17]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.6297 (2.6586)  time: 0.6595  data: 0.0002  max mem: 36795
Epoch: [17]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.7232 (2.6615)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [17]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.8019 (2.6604)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [17]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.6174 (2.6606)  time: 0.6602  data: 0.0003  max mem: 36795
Epoch: [17]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.8123 (2.6647)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [17]  [ 550/1251]  eta: 0:07:47  lr: 0.000003  loss: 2.7002 (2.6597)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [17]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.3952 (2.6594)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [17]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.6688 (2.6569)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [17]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.6710 (2.6572)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [17]  [ 590/1251]  eta: 0:07:20  lr: 0.000003  loss: 2.6940 (2.6561)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [17]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.4685 (2.6517)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [17]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.5024 (2.6535)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [17]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.8534 (2.6519)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [17]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.6736 (2.6493)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [17]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.6221 (2.6455)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.6221 (2.6443)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [17]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.7076 (2.6444)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.7213 (2.6428)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [17]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7425 (2.6452)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [17]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.8332 (2.6461)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [17]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.6666 (2.6448)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [17]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.6871 (2.6467)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [17]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.7162 (2.6445)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [17]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.7182 (2.6440)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [17]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.8162 (2.6472)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [17]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.9136 (2.6499)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [17]  [ 760/1251]  eta: 0:05:26  lr: 0.000003  loss: 2.7277 (2.6489)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [17]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.6845 (2.6491)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [17]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.7386 (2.6496)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [17]  [ 790/1251]  eta: 0:05:06  lr: 0.000003  loss: 2.6909 (2.6492)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [17]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6757 (2.6486)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [17]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.6557 (2.6461)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [ 820/1251]  eta: 0:04:46  lr: 0.000003  loss: 2.6622 (2.6473)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [17]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.8572 (2.6487)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [17]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7609 (2.6486)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [17]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.7253 (2.6505)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [17]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7966 (2.6502)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [17]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.8970 (2.6525)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.8820 (2.6533)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [17]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7001 (2.6545)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [17]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.7847 (2.6555)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [17]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.7276 (2.6555)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [17]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.6271 (2.6531)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [17]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7378 (2.6546)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [17]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.8349 (2.6568)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [17]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.8313 (2.6578)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [17]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.8313 (2.6601)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [17]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.8721 (2.6600)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [17]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7507 (2.6601)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [17]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.6836 (2.6584)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [17]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.6836 (2.6586)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [17]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7299 (2.6582)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [17]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.6482 (2.6586)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [17]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.6510 (2.6586)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [17]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6510 (2.6581)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [17]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7463 (2.6582)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [17]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.5546 (2.6566)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.5394 (2.6553)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [17]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.6499 (2.6550)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [17]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.8037 (2.6550)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [17]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.6048 (2.6543)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [17]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.7024 (2.6548)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [17]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.7024 (2.6537)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [17]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6240 (2.6541)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [17]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6506 (2.6528)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [17]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.7631 (2.6532)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [17]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.6334 (2.6518)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.6404 (2.6534)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [17]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.9212 (2.6544)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [17]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.9109 (2.6561)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [17]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.9109 (2.6557)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [17]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.8067 (2.6572)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [17]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7336 (2.6572)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [17]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.7587 (2.6591)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [17]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7293 (2.6578)  time: 0.6573  data: 0.0009  max mem: 36795
Epoch: [17]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7058 (2.6586)  time: 0.6565  data: 0.0008  max mem: 36795
Epoch: [17] Total time: 0:13:48 (0.6622 s / it)
Averaged stats: lr: 0.000003  loss: 2.7058 (2.6376)
Test:  [ 0/25]  eta: 0:02:21  loss: 0.6106 (0.6106)  acc1: 91.6000 (91.6000)  acc5: 99.2000 (99.2000)  time: 5.6501  data: 5.2782  max mem: 36795
Test:  [10/25]  eta: 0:00:13  loss: 0.7688 (0.7484)  acc1: 86.8000 (87.1273)  acc5: 98.0000 (98.0727)  time: 0.9087  data: 0.4995  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8646 (0.8739)  acc1: 82.0000 (83.5429)  acc5: 96.8000 (97.0476)  time: 0.4124  data: 0.0109  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9636 (0.8829)  acc1: 80.4000 (83.2160)  acc5: 96.8000 (97.0080)  time: 0.3923  data: 0.0002  max mem: 36795
Test: Total time: 0:00:15 (0.6311 s / it)
* Acc@1 84.098 Acc@5 97.004 loss 0.870
Accuracy of the network on the 50000 test images: 84.1%
Max accuracy: 84.25%
Epoch: [18]  [   0/1251]  eta: 1:43:48  lr: 0.000003  loss: 1.9449 (1.9449)  time: 4.9790  data: 3.8577  max mem: 36795
Epoch: [18]  [  10/1251]  eta: 0:21:56  lr: 0.000003  loss: 2.7491 (2.6387)  time: 1.0612  data: 0.3509  max mem: 36795
Epoch: [18]  [  20/1251]  eta: 0:17:49  lr: 0.000003  loss: 2.7491 (2.6200)  time: 0.6631  data: 0.0002  max mem: 36795
Epoch: [18]  [  30/1251]  eta: 0:16:17  lr: 0.000003  loss: 2.8031 (2.6429)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [18]  [  40/1251]  eta: 0:15:27  lr: 0.000003  loss: 2.7377 (2.5864)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [18]  [  50/1251]  eta: 0:14:53  lr: 0.000003  loss: 2.6842 (2.6002)  time: 0.6568  data: 0.0003  max mem: 36795
Epoch: [18]  [  60/1251]  eta: 0:14:29  lr: 0.000003  loss: 2.7457 (2.6346)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [18]  [  70/1251]  eta: 0:14:09  lr: 0.000003  loss: 2.7232 (2.6340)  time: 0.6569  data: 0.0002  max mem: 36795
Epoch: [18]  [  80/1251]  eta: 0:13:53  lr: 0.000003  loss: 2.4635 (2.5857)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [18]  [  90/1251]  eta: 0:13:39  lr: 0.000003  loss: 2.5725 (2.6055)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [18]  [ 100/1251]  eta: 0:13:27  lr: 0.000003  loss: 2.7793 (2.6282)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [18]  [ 110/1251]  eta: 0:13:15  lr: 0.000003  loss: 2.7602 (2.6258)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [18]  [ 120/1251]  eta: 0:13:05  lr: 0.000003  loss: 2.6891 (2.6362)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [18]  [ 130/1251]  eta: 0:12:55  lr: 0.000003  loss: 2.7509 (2.6452)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [18]  [ 140/1251]  eta: 0:12:45  lr: 0.000003  loss: 2.6958 (2.6403)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [18]  [ 150/1251]  eta: 0:12:36  lr: 0.000003  loss: 2.6420 (2.6420)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [18]  [ 160/1251]  eta: 0:12:27  lr: 0.000003  loss: 2.6420 (2.6385)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [18]  [ 170/1251]  eta: 0:12:19  lr: 0.000003  loss: 2.6309 (2.6275)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [18]  [ 180/1251]  eta: 0:12:10  lr: 0.000003  loss: 2.7723 (2.6364)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [18]  [ 190/1251]  eta: 0:12:02  lr: 0.000003  loss: 2.7955 (2.6370)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [18]  [ 200/1251]  eta: 0:11:54  lr: 0.000003  loss: 2.8215 (2.6418)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [18]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.8313 (2.6335)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [18]  [ 220/1251]  eta: 0:11:39  lr: 0.000003  loss: 2.6153 (2.6228)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [18]  [ 230/1251]  eta: 0:11:31  lr: 0.000003  loss: 2.8397 (2.6313)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [18]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.8397 (2.6348)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [18]  [ 250/1251]  eta: 0:11:16  lr: 0.000003  loss: 2.7725 (2.6381)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [18]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.7520 (2.6372)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [18]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.6842 (2.6403)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [18]  [ 280/1251]  eta: 0:10:54  lr: 0.000003  loss: 2.6954 (2.6426)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [18]  [ 290/1251]  eta: 0:10:47  lr: 0.000003  loss: 2.7141 (2.6434)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [18]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.7068 (2.6390)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [18]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.7490 (2.6388)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [18]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.7490 (2.6380)  time: 0.6596  data: 0.0002  max mem: 36795
Epoch: [18]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.6256 (2.6371)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [18]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.7409 (2.6410)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [18]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.8028 (2.6397)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [18]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.6049 (2.6343)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [18]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.6314 (2.6377)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [18]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.7669 (2.6372)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [18]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.6398 (2.6358)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [18]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.6193 (2.6322)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [18]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.5126 (2.6290)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [18]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.6540 (2.6324)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [18]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.6540 (2.6324)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [18]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.5213 (2.6275)  time: 0.6595  data: 0.0002  max mem: 36795
Epoch: [18]  [ 450/1251]  eta: 0:08:55  lr: 0.000003  loss: 2.7821 (2.6260)  time: 0.6597  data: 0.0002  max mem: 36795
Epoch: [18]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.7821 (2.6217)  time: 0.6596  data: 0.0002  max mem: 36795
Epoch: [18]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.6876 (2.6237)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [18]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.8201 (2.6255)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [18]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7906 (2.6270)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [18]  [ 500/1251]  eta: 0:08:21  lr: 0.000003  loss: 2.6838 (2.6248)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [18]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.7472 (2.6251)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [18]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.6027 (2.6222)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [18]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.6027 (2.6214)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [18]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.6890 (2.6194)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [18]  [ 550/1251]  eta: 0:07:47  lr: 0.000003  loss: 2.7248 (2.6205)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [18]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.7163 (2.6182)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [18]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.5156 (2.6147)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [18]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.6014 (2.6134)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [18]  [ 590/1251]  eta: 0:07:20  lr: 0.000003  loss: 2.5632 (2.6109)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [18]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.5670 (2.6122)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [18]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.6139 (2.6121)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [18]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.6083 (2.6115)  time: 0.6598  data: 0.0002  max mem: 36795
Epoch: [18]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.7788 (2.6127)  time: 0.6595  data: 0.0002  max mem: 36795
Epoch: [18]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.6288 (2.6111)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [18]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.5490 (2.6098)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [18]  [ 660/1251]  eta: 0:06:33  lr: 0.000003  loss: 2.5200 (2.6080)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [18]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.5273 (2.6075)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [18]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7035 (2.6078)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [18]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.6685 (2.6062)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [18]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.5983 (2.6051)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [18]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7326 (2.6072)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [18]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.8335 (2.6080)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [18]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.7580 (2.6078)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [18]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.5403 (2.6066)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [18]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.4867 (2.6058)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [18]  [ 760/1251]  eta: 0:05:26  lr: 0.000003  loss: 2.4867 (2.6062)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [18]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.8202 (2.6090)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [18]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.8202 (2.6105)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [18]  [ 790/1251]  eta: 0:05:06  lr: 0.000003  loss: 2.7573 (2.6115)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [18]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.7239 (2.6125)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [18]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.6968 (2.6120)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [18]  [ 820/1251]  eta: 0:04:46  lr: 0.000003  loss: 2.6141 (2.6127)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [18]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.9008 (2.6161)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [18]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7365 (2.6152)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [18]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.6732 (2.6168)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [18]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7049 (2.6160)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [18]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.6743 (2.6152)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [18]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.6506 (2.6145)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [18]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.6520 (2.6153)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [18]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.6446 (2.6140)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [18]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.5507 (2.6131)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [18]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.5879 (2.6137)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [18]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.6441 (2.6125)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [18]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7131 (2.6125)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [18]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.7650 (2.6127)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [18]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.8181 (2.6136)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [18]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.6659 (2.6127)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [18]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.5768 (2.6127)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [18]  [ 990/1251]  eta: 0:02:53  lr: 0.000003  loss: 2.7743 (2.6132)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [18]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.6842 (2.6134)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [18]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7774 (2.6145)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [18]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.7774 (2.6153)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [18]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.7142 (2.6148)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [18]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6598 (2.6147)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [18]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.5775 (2.6134)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [18]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.5728 (2.6128)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [18]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.6737 (2.6130)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [18]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.5560 (2.6108)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [18]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.5339 (2.6106)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [18]  [1100/1251]  eta: 0:01:40  lr: 0.000003  loss: 2.7380 (2.6118)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [18]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.8157 (2.6133)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [18]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.7201 (2.6130)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [18]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6533 (2.6130)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [18]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.7376 (2.6131)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [18]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.8104 (2.6139)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [18]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.8142 (2.6143)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [18]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.7883 (2.6149)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [18]  [1180/1251]  eta: 0:00:47  lr: 0.000003  loss: 2.7559 (2.6150)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [18]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.8035 (2.6158)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [18]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.8096 (2.6152)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [18]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.6698 (2.6140)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [18]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.5213 (2.6136)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [18]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.6414 (2.6138)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [18]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7483 (2.6134)  time: 0.6571  data: 0.0009  max mem: 36795
Epoch: [18]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.6708 (2.6123)  time: 0.6561  data: 0.0008  max mem: 36795
Epoch: [18] Total time: 0:13:48 (0.6624 s / it)
Averaged stats: lr: 0.000003  loss: 2.6708 (2.6294)
Test:  [ 0/25]  eta: 0:02:13  loss: 0.5269 (0.5269)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 5.3329  data: 4.9611  max mem: 36795
Test:  [10/25]  eta: 0:00:15  loss: 0.6783 (0.6646)  acc1: 87.2000 (87.3091)  acc5: 98.0000 (98.0364)  time: 1.0389  data: 0.6371  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.7869 (0.7883)  acc1: 82.0000 (83.9238)  acc5: 96.8000 (96.9905)  time: 0.4915  data: 0.1024  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.8721 (0.7969)  acc1: 80.8000 (83.6000)  acc5: 96.8000 (96.9600)  time: 0.3792  data: 0.0001  max mem: 36795
Test: Total time: 0:00:16 (0.6750 s / it)
* Acc@1 84.242 Acc@5 97.036 loss 0.785
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.25%
Epoch: [19]  [   0/1251]  eta: 1:41:48  lr: 0.000003  loss: 2.5632 (2.5632)  time: 4.8829  data: 2.7416  max mem: 36795
Epoch: [19]  [  10/1251]  eta: 0:21:43  lr: 0.000003  loss: 2.7093 (2.5653)  time: 1.0502  data: 0.2495  max mem: 36795
Epoch: [19]  [  20/1251]  eta: 0:17:42  lr: 0.000003  loss: 2.7093 (2.6075)  time: 0.6620  data: 0.0003  max mem: 36795
Epoch: [19]  [  30/1251]  eta: 0:16:12  lr: 0.000003  loss: 2.6926 (2.5635)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [19]  [  40/1251]  eta: 0:15:23  lr: 0.000003  loss: 2.7069 (2.5960)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [19]  [  50/1251]  eta: 0:14:51  lr: 0.000003  loss: 2.8200 (2.6222)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [19]  [  60/1251]  eta: 0:14:27  lr: 0.000003  loss: 2.5733 (2.5899)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [19]  [  70/1251]  eta: 0:14:08  lr: 0.000003  loss: 2.5601 (2.6000)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [19]  [  80/1251]  eta: 0:13:52  lr: 0.000003  loss: 2.8188 (2.6126)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [19]  [  90/1251]  eta: 0:13:38  lr: 0.000003  loss: 2.6992 (2.6142)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [19]  [ 100/1251]  eta: 0:13:25  lr: 0.000003  loss: 2.6422 (2.6102)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [19]  [ 110/1251]  eta: 0:13:14  lr: 0.000003  loss: 2.7272 (2.6240)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [19]  [ 120/1251]  eta: 0:13:04  lr: 0.000003  loss: 2.7307 (2.6031)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [19]  [ 130/1251]  eta: 0:12:54  lr: 0.000003  loss: 2.5911 (2.6033)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [19]  [ 140/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.5911 (2.6053)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [19]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.5664 (2.6005)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [19]  [ 160/1251]  eta: 0:12:26  lr: 0.000003  loss: 2.6198 (2.6058)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [19]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.6684 (2.6092)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [19]  [ 180/1251]  eta: 0:12:10  lr: 0.000003  loss: 2.7553 (2.6143)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [19]  [ 190/1251]  eta: 0:12:01  lr: 0.000003  loss: 2.7239 (2.6176)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [19]  [ 200/1251]  eta: 0:11:53  lr: 0.000003  loss: 2.7258 (2.6224)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [19]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.7951 (2.6210)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [19]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.6821 (2.6172)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [19]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.7774 (2.6228)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [19]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.8153 (2.6216)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [19]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.8133 (2.6250)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [19]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.8427 (2.6249)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [19]  [ 270/1251]  eta: 0:11:00  lr: 0.000003  loss: 2.6565 (2.6228)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [19]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.7788 (2.6284)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [19]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.7905 (2.6282)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [19]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.7499 (2.6311)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [19]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.7790 (2.6325)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [19]  [ 320/1251]  eta: 0:10:24  lr: 0.000003  loss: 2.6877 (2.6329)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [19]  [ 330/1251]  eta: 0:10:17  lr: 0.000003  loss: 2.7264 (2.6337)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [19]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.7444 (2.6334)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [19]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.6844 (2.6372)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [19]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.6844 (2.6370)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [19]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.7939 (2.6398)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [19]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.8129 (2.6405)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [19]  [ 390/1251]  eta: 0:09:35  lr: 0.000003  loss: 2.7674 (2.6412)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [19]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.6722 (2.6448)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [19]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.8606 (2.6518)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [19]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.8504 (2.6532)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [19]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.7943 (2.6532)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [19]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.7105 (2.6493)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [19]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.6516 (2.6502)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [19]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.6393 (2.6489)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [19]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.6393 (2.6498)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [19]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.6692 (2.6502)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [19]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.5891 (2.6491)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [19]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.8630 (2.6543)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [19]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.8666 (2.6570)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [19]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.7972 (2.6564)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [19]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.7567 (2.6604)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [19]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.8635 (2.6597)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [19]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.7722 (2.6581)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [19]  [ 560/1251]  eta: 0:07:39  lr: 0.000003  loss: 2.7619 (2.6579)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [19]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.6559 (2.6593)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [19]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.7322 (2.6585)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [19]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.3617 (2.6543)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [19]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.7010 (2.6568)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [19]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.7674 (2.6559)  time: 0.6599  data: 0.0002  max mem: 36795
Epoch: [19]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.6929 (2.6550)  time: 0.6599  data: 0.0002  max mem: 36795
Epoch: [19]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.6929 (2.6562)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [19]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.7912 (2.6566)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [19]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.7037 (2.6551)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [19]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.5870 (2.6532)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [19]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.6097 (2.6513)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [19]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.6965 (2.6523)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [19]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.7213 (2.6492)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [19]  [ 700/1251]  eta: 0:06:05  lr: 0.000003  loss: 2.6885 (2.6503)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [19]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7311 (2.6516)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [19]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.7299 (2.6510)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [19]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.5777 (2.6485)  time: 0.6605  data: 0.0003  max mem: 36795
Epoch: [19]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.6008 (2.6496)  time: 0.6614  data: 0.0003  max mem: 36795
Epoch: [19]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.8197 (2.6480)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [19]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.6100 (2.6457)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [19]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.6747 (2.6475)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [19]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.8390 (2.6486)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [19]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.7449 (2.6494)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [19]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6655 (2.6490)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [19]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.6655 (2.6493)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [19]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.8303 (2.6518)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [19]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.8355 (2.6533)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [19]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7806 (2.6520)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [19]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.7872 (2.6540)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [19]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7825 (2.6518)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [19]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.6854 (2.6510)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [19]  [ 880/1251]  eta: 0:04:05  lr: 0.000003  loss: 2.8670 (2.6518)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [19]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7808 (2.6516)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [19]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.7030 (2.6511)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [19]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.7367 (2.6522)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [19]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.7367 (2.6502)  time: 0.6594  data: 0.0002  max mem: 36795
Epoch: [19]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.4291 (2.6482)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [19]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.4733 (2.6474)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [19]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.7597 (2.6479)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [19]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.7597 (2.6490)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [19]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.8522 (2.6502)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [19]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.6819 (2.6478)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [19]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.4738 (2.6473)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [19]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.5547 (2.6462)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [19]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.5205 (2.6454)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [19]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.6540 (2.6459)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [19]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.7777 (2.6471)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [19]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6335 (2.6448)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [19]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.4683 (2.6437)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [19]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.6640 (2.6445)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [19]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7655 (2.6465)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [19]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.8120 (2.6464)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [19]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7632 (2.6461)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [19]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7441 (2.6448)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [19]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.6114 (2.6448)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [19]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.8436 (2.6456)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [19]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.8331 (2.6467)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [19]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.7800 (2.6473)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [19]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.7411 (2.6482)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [19]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.7411 (2.6486)  time: 0.6581  data: 0.0004  max mem: 36795
Epoch: [19]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.8891 (2.6494)  time: 0.6585  data: 0.0004  max mem: 36795
Epoch: [19]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.8174 (2.6496)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [19]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.8174 (2.6491)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [19]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.6425 (2.6482)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [19]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.6425 (2.6490)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [19]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7553 (2.6480)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [19]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.8023 (2.6495)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [19]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.8325 (2.6505)  time: 0.6580  data: 0.0009  max mem: 36795
Epoch: [19]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7715 (2.6500)  time: 0.6574  data: 0.0008  max mem: 36795
Epoch: [19] Total time: 0:13:48 (0.6621 s / it)
Averaged stats: lr: 0.000003  loss: 2.7715 (2.6346)
Test:  [ 0/25]  eta: 0:02:15  loss: 0.5722 (0.5722)  acc1: 90.0000 (90.0000)  acc5: 99.2000 (99.2000)  time: 5.4066  data: 5.0341  max mem: 36795
Test:  [10/25]  eta: 0:00:14  loss: 0.7215 (0.7109)  acc1: 87.6000 (87.3091)  acc5: 98.0000 (98.1091)  time: 0.9581  data: 0.5679  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8280 (0.8355)  acc1: 82.4000 (84.0381)  acc5: 97.2000 (97.1238)  time: 0.4720  data: 0.0850  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9273 (0.8451)  acc1: 80.4000 (83.6480)  acc5: 96.8000 (97.1040)  time: 0.4108  data: 0.0245  max mem: 36795
Test: Total time: 0:00:16 (0.6621 s / it)
* Acc@1 84.214 Acc@5 97.052 loss 0.833
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.25%
Epoch: [20]  [   0/1251]  eta: 1:39:58  lr: 0.000003  loss: 2.7543 (2.7543)  time: 4.7949  data: 2.8001  max mem: 36795
Epoch: [20]  [  10/1251]  eta: 0:21:48  lr: 0.000003  loss: 2.8937 (2.6744)  time: 1.0542  data: 0.2548  max mem: 36795
Epoch: [20]  [  20/1251]  eta: 0:17:44  lr: 0.000003  loss: 2.7958 (2.7026)  time: 0.6687  data: 0.0003  max mem: 36795
Epoch: [20]  [  30/1251]  eta: 0:16:14  lr: 0.000003  loss: 2.7098 (2.6725)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [20]  [  40/1251]  eta: 0:15:24  lr: 0.000003  loss: 2.6845 (2.6831)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [20]  [  50/1251]  eta: 0:14:52  lr: 0.000003  loss: 2.7303 (2.6862)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [20]  [  60/1251]  eta: 0:14:28  lr: 0.000003  loss: 2.7662 (2.6865)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [20]  [  70/1251]  eta: 0:14:08  lr: 0.000003  loss: 2.7470 (2.6761)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [20]  [  80/1251]  eta: 0:13:52  lr: 0.000003  loss: 2.6198 (2.6555)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [20]  [  90/1251]  eta: 0:13:38  lr: 0.000003  loss: 2.7484 (2.6621)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [20]  [ 100/1251]  eta: 0:13:26  lr: 0.000003  loss: 2.7635 (2.6619)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [20]  [ 110/1251]  eta: 0:13:14  lr: 0.000003  loss: 2.7405 (2.6513)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [20]  [ 120/1251]  eta: 0:13:04  lr: 0.000003  loss: 2.6485 (2.6454)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [20]  [ 130/1251]  eta: 0:12:54  lr: 0.000003  loss: 2.8080 (2.6602)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [20]  [ 140/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.7280 (2.6436)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [20]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.6143 (2.6421)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [20]  [ 160/1251]  eta: 0:12:26  lr: 0.000003  loss: 2.6491 (2.6460)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [20]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.6557 (2.6441)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [20]  [ 180/1251]  eta: 0:12:09  lr: 0.000003  loss: 2.6506 (2.6404)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [20]  [ 190/1251]  eta: 0:12:01  lr: 0.000003  loss: 2.7022 (2.6410)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [20]  [ 200/1251]  eta: 0:11:53  lr: 0.000003  loss: 2.7022 (2.6444)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [20]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.6330 (2.6429)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [20]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.7404 (2.6449)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [20]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.8294 (2.6485)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [20]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.7731 (2.6403)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [20]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.7390 (2.6423)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [20]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.8317 (2.6394)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [20]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.7078 (2.6393)  time: 0.6594  data: 0.0002  max mem: 36795
Epoch: [20]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.7852 (2.6426)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [20]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.6982 (2.6321)  time: 0.6567  data: 0.0003  max mem: 36795
Epoch: [20]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.6224 (2.6331)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [20]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.7461 (2.6293)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [20]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.7461 (2.6305)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [20]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.7537 (2.6301)  time: 0.6594  data: 0.0002  max mem: 36795
Epoch: [20]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.7143 (2.6303)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [20]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.7267 (2.6315)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [20]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.7267 (2.6317)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [20]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.7322 (2.6329)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [20]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.4944 (2.6247)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [20]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.6233 (2.6294)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [20]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.8352 (2.6282)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [20]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.5393 (2.6273)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [20]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.6614 (2.6270)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [20]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.7188 (2.6267)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [20]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.7171 (2.6277)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [20]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.6287 (2.6295)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [20]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.7464 (2.6309)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [20]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.7368 (2.6320)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [20]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.6383 (2.6283)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [20]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.3674 (2.6206)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [20]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.3213 (2.6170)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [20]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.8673 (2.6210)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [20]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.7539 (2.6209)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [20]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.5841 (2.6172)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [20]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.6942 (2.6178)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [20]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.6850 (2.6185)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [20]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.6142 (2.6192)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [20]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.5803 (2.6141)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [20]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.6027 (2.6138)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [20]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.7489 (2.6168)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [20]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.7950 (2.6191)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [20]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.7889 (2.6199)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [20]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.6547 (2.6207)  time: 0.6592  data: 0.0002  max mem: 36795
Epoch: [20]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.6918 (2.6217)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [20]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.6918 (2.6209)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [20]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.6251 (2.6204)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [20]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.6479 (2.6219)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [20]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.8233 (2.6227)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [20]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7819 (2.6234)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [20]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.6476 (2.6231)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [20]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.7554 (2.6230)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [20]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7554 (2.6231)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [20]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.6034 (2.6211)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [20]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.5221 (2.6195)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [20]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.5341 (2.6200)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [20]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.7905 (2.6195)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [20]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.6081 (2.6159)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [20]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.7044 (2.6156)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [20]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.7471 (2.6176)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [20]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.7064 (2.6157)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [20]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6417 (2.6158)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [20]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.7624 (2.6178)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [20]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.7916 (2.6178)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [20]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.7659 (2.6181)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [20]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.8029 (2.6213)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [20]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.8541 (2.6228)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [20]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.8541 (2.6243)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [20]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.9069 (2.6261)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [20]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.8178 (2.6282)  time: 0.6599  data: 0.0002  max mem: 36795
Epoch: [20]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7350 (2.6273)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [20]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.4965 (2.6244)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [20]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.5820 (2.6257)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [20]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.5870 (2.6245)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [20]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.4780 (2.6244)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [20]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7404 (2.6247)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [20]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.5904 (2.6234)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [20]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.7163 (2.6238)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [20]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.6583 (2.6217)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [20]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.5671 (2.6217)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [20]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.7100 (2.6224)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [20]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.6710 (2.6205)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [20]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.6735 (2.6212)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [20]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.7570 (2.6208)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [20]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.6627 (2.6214)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [20]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6722 (2.6211)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [20]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7067 (2.6208)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [20]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7390 (2.6218)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [20]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7476 (2.6226)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [20]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.6557 (2.6223)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [20]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.5974 (2.6223)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [20]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7194 (2.6228)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [20]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.7964 (2.6245)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [20]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6957 (2.6246)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [20]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.8052 (2.6266)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [20]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.7696 (2.6267)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [20]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.8262 (2.6288)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [20]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.8362 (2.6284)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [20]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.6722 (2.6294)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [20]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.6722 (2.6273)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [20]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.4863 (2.6260)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [20]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.4076 (2.6248)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [20]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.6415 (2.6246)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [20]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7688 (2.6252)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [20]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.7888 (2.6262)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [20]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7951 (2.6277)  time: 0.6575  data: 0.0009  max mem: 36795
Epoch: [20]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7680 (2.6266)  time: 0.6566  data: 0.0008  max mem: 36795
Epoch: [20] Total time: 0:13:48 (0.6621 s / it)
Averaged stats: lr: 0.000003  loss: 2.7680 (2.6274)
Test:  [ 0/25]  eta: 0:03:19  loss: 0.5626 (0.5626)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 7.9758  data: 7.5620  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.7192 (0.6993)  acc1: 86.8000 (87.4182)  acc5: 98.0000 (98.0364)  time: 1.0908  data: 0.6878  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8202 (0.8244)  acc1: 82.0000 (83.8667)  acc5: 97.2000 (97.0857)  time: 0.3901  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9173 (0.8333)  acc1: 80.0000 (83.5040)  acc5: 96.8000 (97.0720)  time: 0.3855  data: 0.0001  max mem: 36795
Test: Total time: 0:00:17 (0.7060 s / it)
* Acc@1 84.142 Acc@5 97.054 loss 0.821
Accuracy of the network on the 50000 test images: 84.1%
Max accuracy: 84.25%
Epoch: [21]  [   0/1251]  eta: 1:38:02  lr: 0.000003  loss: 2.9480 (2.9480)  time: 4.7021  data: 2.9242  max mem: 36795
Epoch: [21]  [  10/1251]  eta: 0:21:28  lr: 0.000003  loss: 2.8561 (2.7192)  time: 1.0383  data: 0.2661  max mem: 36795
Epoch: [21]  [  20/1251]  eta: 0:17:36  lr: 0.000003  loss: 2.8282 (2.7232)  time: 0.6662  data: 0.0003  max mem: 36795
Epoch: [21]  [  30/1251]  eta: 0:16:09  lr: 0.000003  loss: 2.8050 (2.7205)  time: 0.6591  data: 0.0002  max mem: 36795
Epoch: [21]  [  40/1251]  eta: 0:15:20  lr: 0.000003  loss: 2.7381 (2.7206)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [21]  [  50/1251]  eta: 0:14:49  lr: 0.000003  loss: 2.7675 (2.7360)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [  60/1251]  eta: 0:14:25  lr: 0.000003  loss: 2.7050 (2.7131)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [21]  [  70/1251]  eta: 0:14:06  lr: 0.000003  loss: 2.6539 (2.6964)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [21]  [  80/1251]  eta: 0:13:51  lr: 0.000003  loss: 2.7041 (2.6924)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [21]  [  90/1251]  eta: 0:13:37  lr: 0.000003  loss: 2.7063 (2.6814)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [21]  [ 100/1251]  eta: 0:13:25  lr: 0.000003  loss: 2.5942 (2.6616)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [21]  [ 110/1251]  eta: 0:13:14  lr: 0.000003  loss: 2.5942 (2.6696)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [21]  [ 120/1251]  eta: 0:13:03  lr: 0.000003  loss: 2.7378 (2.6682)  time: 0.6605  data: 0.0003  max mem: 36795
Epoch: [21]  [ 130/1251]  eta: 0:12:53  lr: 0.000003  loss: 2.7791 (2.6753)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [21]  [ 140/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.6856 (2.6630)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [21]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.6683 (2.6655)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [21]  [ 160/1251]  eta: 0:12:26  lr: 0.000003  loss: 2.6031 (2.6433)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [21]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.6142 (2.6479)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [21]  [ 180/1251]  eta: 0:12:09  lr: 0.000003  loss: 2.7608 (2.6529)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [21]  [ 190/1251]  eta: 0:12:01  lr: 0.000003  loss: 2.7910 (2.6615)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [21]  [ 200/1251]  eta: 0:11:54  lr: 0.000003  loss: 2.7257 (2.6586)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [21]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.6465 (2.6552)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [21]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.7346 (2.6560)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [21]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.6768 (2.6516)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [21]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.5988 (2.6471)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [21]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.6324 (2.6480)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [21]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.6750 (2.6431)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [21]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.6847 (2.6421)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [21]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.3870 (2.6279)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [21]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.3459 (2.6246)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [21]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.5349 (2.6238)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [21]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.6525 (2.6236)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [21]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.7035 (2.6226)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.5189 (2.6171)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.6224 (2.6207)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [21]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.8165 (2.6205)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [21]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.7576 (2.6168)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [21]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.5257 (2.6138)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [21]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.6441 (2.6187)  time: 0.6604  data: 0.0003  max mem: 36795
Epoch: [21]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.6312 (2.6156)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [21]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.5730 (2.6133)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [21]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.5335 (2.6095)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [21]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.6133 (2.6108)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [21]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.7483 (2.6130)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [21]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.6571 (2.6125)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [21]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.7402 (2.6158)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [21]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.7485 (2.6162)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [21]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.7391 (2.6187)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [21]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.7317 (2.6171)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [21]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.6263 (2.6181)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [21]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.8484 (2.6227)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [21]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.8403 (2.6248)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [21]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.7686 (2.6226)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [21]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.5895 (2.6210)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [21]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.5895 (2.6192)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [21]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.5637 (2.6169)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [21]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.6070 (2.6166)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [21]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.6070 (2.6150)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [21]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.5982 (2.6158)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.6318 (2.6162)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [21]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.5505 (2.6120)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [21]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.7321 (2.6120)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [21]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.7792 (2.6124)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.7448 (2.6152)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [21]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.8478 (2.6181)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [21]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.8243 (2.6163)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [21]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.6055 (2.6162)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [21]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.6228 (2.6155)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [21]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.8264 (2.6188)  time: 0.6598  data: 0.0002  max mem: 36795
Epoch: [21]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.8755 (2.6199)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [21]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.7332 (2.6196)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [21]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.6642 (2.6221)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [21]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.6503 (2.6204)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [21]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.5505 (2.6181)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [21]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.7508 (2.6196)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [21]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.7885 (2.6207)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [21]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.7445 (2.6215)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [21]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.6754 (2.6218)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.5455 (2.6193)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.4918 (2.6188)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6479 (2.6183)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [21]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.7255 (2.6206)  time: 0.6607  data: 0.0003  max mem: 36795
Epoch: [21]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.8131 (2.6200)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [21]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.7269 (2.6204)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7269 (2.6209)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [21]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.7903 (2.6220)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.8087 (2.6234)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [21]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.7395 (2.6236)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [21]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.7395 (2.6219)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [21]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7923 (2.6219)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [21]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.6294 (2.6209)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [21]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.6315 (2.6212)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [21]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.6794 (2.6210)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [21]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7788 (2.6205)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [21]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7788 (2.6205)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [21]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.6764 (2.6205)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [21]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.6786 (2.6206)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [21]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.6259 (2.6195)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [21]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.5352 (2.6191)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [21]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.7130 (2.6193)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [21]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.7130 (2.6168)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [21]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.5751 (2.6164)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [21]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.6458 (2.6163)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [21]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.4192 (2.6121)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [21]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.4553 (2.6121)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [21]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.8152 (2.6131)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [21]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7073 (2.6123)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [21]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.5919 (2.6123)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [21]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.8616 (2.6129)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [21]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7279 (2.6118)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [21]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7279 (2.6130)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [21]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.7539 (2.6129)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [21]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.4801 (2.6120)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [21]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6763 (2.6123)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [21]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6763 (2.6116)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [21]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.8252 (2.6141)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [21]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.8536 (2.6154)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [21]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.8225 (2.6162)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [21]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.7005 (2.6170)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.5452 (2.6173)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [21]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.5578 (2.6164)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [21]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.6636 (2.6157)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [21]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.3847 (2.6146)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [21]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.3799 (2.6138)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [21]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.6239 (2.6140)  time: 0.6576  data: 0.0009  max mem: 36795
Epoch: [21]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.6239 (2.6128)  time: 0.6566  data: 0.0008  max mem: 36795
Epoch: [21] Total time: 0:13:48 (0.6621 s / it)
Averaged stats: lr: 0.000003  loss: 2.6239 (2.6287)
Test:  [ 0/25]  eta: 0:02:27  loss: 0.5203 (0.5203)  acc1: 91.2000 (91.2000)  acc5: 99.2000 (99.2000)  time: 5.9080  data: 5.5349  max mem: 36795
Test:  [10/25]  eta: 0:00:14  loss: 0.6702 (0.6567)  acc1: 87.6000 (87.4182)  acc5: 98.0000 (98.0727)  time: 0.9930  data: 0.5859  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.7821 (0.7817)  acc1: 82.0000 (84.0381)  acc5: 96.8000 (97.0667)  time: 0.4453  data: 0.0456  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.8686 (0.7909)  acc1: 80.4000 (83.7120)  acc5: 96.8000 (97.0400)  time: 0.3869  data: 0.0002  max mem: 36795
Test: Total time: 0:00:16 (0.6608 s / it)
* Acc@1 84.270 Acc@5 97.060 loss 0.779
Accuracy of the network on the 50000 test images: 84.3%
Max accuracy: 84.27%
Epoch: [22]  [   0/1251]  eta: 1:17:18  lr: 0.000003  loss: 3.2692 (3.2692)  time: 3.7081  data: 3.0112  max mem: 36795
Epoch: [22]  [  10/1251]  eta: 0:21:04  lr: 0.000003  loss: 2.6380 (2.6044)  time: 1.0187  data: 0.3492  max mem: 36795
Epoch: [22]  [  20/1251]  eta: 0:17:22  lr: 0.000003  loss: 2.7058 (2.6435)  time: 0.7034  data: 0.0416  max mem: 36795
Epoch: [22]  [  30/1251]  eta: 0:15:59  lr: 0.000003  loss: 2.7549 (2.6348)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [22]  [  40/1251]  eta: 0:15:13  lr: 0.000003  loss: 2.7329 (2.6510)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [22]  [  50/1251]  eta: 0:14:43  lr: 0.000003  loss: 2.6020 (2.6268)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [22]  [  60/1251]  eta: 0:14:20  lr: 0.000003  loss: 2.4209 (2.6158)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [22]  [  70/1251]  eta: 0:14:02  lr: 0.000003  loss: 2.8042 (2.6408)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [22]  [  80/1251]  eta: 0:13:47  lr: 0.000003  loss: 2.8042 (2.6451)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [22]  [  90/1251]  eta: 0:13:34  lr: 0.000003  loss: 2.6490 (2.6304)  time: 0.6569  data: 0.0003  max mem: 36795
Epoch: [22]  [ 100/1251]  eta: 0:13:22  lr: 0.000003  loss: 2.6452 (2.6222)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [22]  [ 110/1251]  eta: 0:13:11  lr: 0.000003  loss: 2.7087 (2.6206)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [22]  [ 120/1251]  eta: 0:13:00  lr: 0.000003  loss: 2.7602 (2.6331)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [22]  [ 130/1251]  eta: 0:12:51  lr: 0.000003  loss: 2.7757 (2.6385)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [22]  [ 140/1251]  eta: 0:12:42  lr: 0.000003  loss: 2.6941 (2.6301)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [22]  [ 150/1251]  eta: 0:12:33  lr: 0.000003  loss: 2.6746 (2.6421)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [22]  [ 160/1251]  eta: 0:12:24  lr: 0.000003  loss: 2.7541 (2.6473)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [22]  [ 170/1251]  eta: 0:12:16  lr: 0.000003  loss: 2.7541 (2.6360)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [22]  [ 180/1251]  eta: 0:12:07  lr: 0.000003  loss: 2.6540 (2.6370)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [22]  [ 190/1251]  eta: 0:12:00  lr: 0.000003  loss: 2.6302 (2.6334)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [22]  [ 200/1251]  eta: 0:11:52  lr: 0.000003  loss: 2.5428 (2.6223)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [22]  [ 210/1251]  eta: 0:11:44  lr: 0.000003  loss: 2.6408 (2.6264)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [22]  [ 220/1251]  eta: 0:11:36  lr: 0.000003  loss: 2.6448 (2.6216)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [22]  [ 230/1251]  eta: 0:11:29  lr: 0.000003  loss: 2.6114 (2.6176)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [22]  [ 240/1251]  eta: 0:11:21  lr: 0.000003  loss: 2.6840 (2.6258)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [22]  [ 250/1251]  eta: 0:11:14  lr: 0.000003  loss: 2.7475 (2.6203)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [22]  [ 260/1251]  eta: 0:11:07  lr: 0.000003  loss: 2.7670 (2.6287)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [22]  [ 270/1251]  eta: 0:10:59  lr: 0.000003  loss: 2.8399 (2.6310)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [22]  [ 280/1251]  eta: 0:10:52  lr: 0.000003  loss: 2.6030 (2.6258)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [22]  [ 290/1251]  eta: 0:10:45  lr: 0.000003  loss: 2.6994 (2.6300)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [22]  [ 300/1251]  eta: 0:10:38  lr: 0.000003  loss: 2.8181 (2.6322)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [22]  [ 310/1251]  eta: 0:10:31  lr: 0.000003  loss: 2.7608 (2.6376)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [22]  [ 320/1251]  eta: 0:10:24  lr: 0.000003  loss: 2.7797 (2.6412)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [22]  [ 330/1251]  eta: 0:10:17  lr: 0.000003  loss: 2.8228 (2.6466)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [22]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.8228 (2.6517)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [22]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.8404 (2.6514)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [22]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.7707 (2.6497)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [22]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.6552 (2.6488)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [22]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.5893 (2.6462)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [22]  [ 390/1251]  eta: 0:09:35  lr: 0.000003  loss: 2.7030 (2.6483)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [22]  [ 400/1251]  eta: 0:09:28  lr: 0.000003  loss: 2.8412 (2.6513)  time: 0.6603  data: 0.0002  max mem: 36795
Epoch: [22]  [ 410/1251]  eta: 0:09:21  lr: 0.000003  loss: 2.7246 (2.6508)  time: 0.6596  data: 0.0002  max mem: 36795
Epoch: [22]  [ 420/1251]  eta: 0:09:14  lr: 0.000003  loss: 2.7024 (2.6527)  time: 0.6608  data: 0.0002  max mem: 36795
Epoch: [22]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.8565 (2.6568)  time: 0.6603  data: 0.0003  max mem: 36795
Epoch: [22]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.7353 (2.6532)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [22]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.6597 (2.6544)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [22]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.7200 (2.6521)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [22]  [ 470/1251]  eta: 0:08:40  lr: 0.000003  loss: 2.5478 (2.6519)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [22]  [ 480/1251]  eta: 0:08:33  lr: 0.000003  loss: 2.6669 (2.6498)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [22]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.5675 (2.6469)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [22]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.5461 (2.6458)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [22]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.6394 (2.6468)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [22]  [ 520/1251]  eta: 0:08:06  lr: 0.000003  loss: 2.7381 (2.6476)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [22]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.7064 (2.6449)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [22]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.6660 (2.6441)  time: 0.6598  data: 0.0003  max mem: 36795
Epoch: [22]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.7033 (2.6465)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [22]  [ 560/1251]  eta: 0:07:39  lr: 0.000003  loss: 2.7196 (2.6474)  time: 0.6593  data: 0.0002  max mem: 36795
Epoch: [22]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.8030 (2.6495)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [22]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.6450 (2.6496)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [22]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.6450 (2.6491)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [22]  [ 600/1251]  eta: 0:07:12  lr: 0.000003  loss: 2.7744 (2.6513)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [22]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.8652 (2.6527)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [22]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.8160 (2.6499)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [22]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.6326 (2.6476)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [22]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.7218 (2.6493)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [22]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.8331 (2.6509)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [22]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.7317 (2.6504)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [22]  [ 670/1251]  eta: 0:06:25  lr: 0.000003  loss: 2.7249 (2.6523)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [22]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7961 (2.6502)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [22]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.7974 (2.6511)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [22]  [ 700/1251]  eta: 0:06:05  lr: 0.000003  loss: 2.7849 (2.6503)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [22]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.6704 (2.6501)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [22]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.6056 (2.6481)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [22]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.5889 (2.6484)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [22]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.7801 (2.6493)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [22]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.7801 (2.6492)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [22]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.7652 (2.6505)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [22]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.8212 (2.6505)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [22]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.6580 (2.6497)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [22]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.4101 (2.6475)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [22]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.4483 (2.6463)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [22]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.4483 (2.6444)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [22]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.5821 (2.6415)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [22]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.6614 (2.6426)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [22]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7147 (2.6437)  time: 0.6598  data: 0.0003  max mem: 36795
Epoch: [22]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.7361 (2.6438)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [22]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7917 (2.6455)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [22]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.7917 (2.6437)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [22]  [ 880/1251]  eta: 0:04:05  lr: 0.000003  loss: 2.6407 (2.6433)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [22]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.6979 (2.6433)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [22]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.8550 (2.6455)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [22]  [ 910/1251]  eta: 0:03:45  lr: 0.000003  loss: 2.8423 (2.6458)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [22]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.6192 (2.6439)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [22]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.4895 (2.6433)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [22]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.6527 (2.6433)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [22]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.8308 (2.6439)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [22]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.8334 (2.6450)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [22]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.7828 (2.6458)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [22]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7167 (2.6446)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [22]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.6494 (2.6440)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [22]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.8404 (2.6462)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [22]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7794 (2.6457)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [22]  [1020/1251]  eta: 0:02:32  lr: 0.000003  loss: 2.6929 (2.6453)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [22]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.6929 (2.6447)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [22]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6610 (2.6441)  time: 0.6593  data: 0.0002  max mem: 36795
Epoch: [22]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.6336 (2.6446)  time: 0.6591  data: 0.0002  max mem: 36795
Epoch: [22]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7101 (2.6453)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [22]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7520 (2.6455)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [22]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.7797 (2.6459)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [22]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7957 (2.6457)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [22]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.6810 (2.6456)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [22]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.6810 (2.6450)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [22]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6144 (2.6450)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [22]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6677 (2.6464)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [22]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6968 (2.6456)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [22]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.6181 (2.6460)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [22]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.6181 (2.6446)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [22]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.4139 (2.6431)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [22]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.6367 (2.6428)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [22]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.7219 (2.6422)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [22]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.7502 (2.6412)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [22]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.7844 (2.6419)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [22]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7114 (2.6404)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [22]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.5786 (2.6410)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [22]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.5786 (2.6388)  time: 0.6588  data: 0.0009  max mem: 36795
Epoch: [22]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.5325 (2.6389)  time: 0.6566  data: 0.0008  max mem: 36795
Epoch: [22] Total time: 0:13:48 (0.6621 s / it)
Averaged stats: lr: 0.000003  loss: 2.5325 (2.6348)
Test:  [ 0/25]  eta: 0:02:41  loss: 0.5725 (0.5725)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 6.4613  data: 6.0894  max mem: 36795
Test:  [10/25]  eta: 0:00:14  loss: 0.7185 (0.7085)  acc1: 87.6000 (87.3455)  acc5: 98.0000 (98.0727)  time: 0.9592  data: 0.5540  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8327 (0.8305)  acc1: 81.6000 (84.0191)  acc5: 97.2000 (97.0857)  time: 0.4016  data: 0.0003  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9159 (0.8392)  acc1: 80.8000 (83.6800)  acc5: 96.8000 (97.0400)  time: 0.3919  data: 0.0002  max mem: 36795
Test: Total time: 0:00:16 (0.6572 s / it)
* Acc@1 84.228 Acc@5 97.054 loss 0.827
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.27%
Epoch: [23]  [   0/1251]  eta: 1:39:36  lr: 0.000003  loss: 2.9806 (2.9806)  time: 4.7778  data: 3.3382  max mem: 36795
Epoch: [23]  [  10/1251]  eta: 0:21:39  lr: 0.000003  loss: 2.8692 (2.7472)  time: 1.0474  data: 0.3037  max mem: 36795
Epoch: [23]  [  20/1251]  eta: 0:17:40  lr: 0.000003  loss: 2.6726 (2.6231)  time: 0.6658  data: 0.0003  max mem: 36795
Epoch: [23]  [  30/1251]  eta: 0:16:11  lr: 0.000003  loss: 2.7609 (2.7026)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [23]  [  40/1251]  eta: 0:15:23  lr: 0.000003  loss: 2.6980 (2.6570)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [23]  [  50/1251]  eta: 0:14:50  lr: 0.000003  loss: 2.6889 (2.6850)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [23]  [  60/1251]  eta: 0:14:26  lr: 0.000003  loss: 2.7695 (2.6881)  time: 0.6568  data: 0.0003  max mem: 36795
Epoch: [23]  [  70/1251]  eta: 0:14:07  lr: 0.000003  loss: 2.7695 (2.6773)  time: 0.6570  data: 0.0002  max mem: 36795
Epoch: [23]  [  80/1251]  eta: 0:13:51  lr: 0.000003  loss: 2.6763 (2.6700)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [23]  [  90/1251]  eta: 0:13:38  lr: 0.000003  loss: 2.6007 (2.6585)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [23]  [ 100/1251]  eta: 0:13:25  lr: 0.000003  loss: 2.5814 (2.6593)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [23]  [ 110/1251]  eta: 0:13:14  lr: 0.000003  loss: 2.7763 (2.6686)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [23]  [ 120/1251]  eta: 0:13:03  lr: 0.000003  loss: 2.8000 (2.6697)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [23]  [ 130/1251]  eta: 0:12:53  lr: 0.000003  loss: 2.6087 (2.6610)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [23]  [ 140/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.5632 (2.6566)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [23]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.6448 (2.6644)  time: 0.6573  data: 0.0002  max mem: 36795
Epoch: [23]  [ 160/1251]  eta: 0:12:26  lr: 0.000003  loss: 2.7510 (2.6615)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [23]  [ 170/1251]  eta: 0:12:17  lr: 0.000003  loss: 2.8080 (2.6661)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [23]  [ 180/1251]  eta: 0:12:09  lr: 0.000003  loss: 2.8080 (2.6688)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [23]  [ 190/1251]  eta: 0:12:01  lr: 0.000003  loss: 2.6688 (2.6622)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [23]  [ 200/1251]  eta: 0:11:53  lr: 0.000003  loss: 2.5715 (2.6539)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [23]  [ 210/1251]  eta: 0:11:45  lr: 0.000003  loss: 2.4830 (2.6444)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [23]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.2871 (2.6322)  time: 0.6582  data: 0.0004  max mem: 36795
Epoch: [23]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.4058 (2.6335)  time: 0.6577  data: 0.0004  max mem: 36795
Epoch: [23]  [ 240/1251]  eta: 0:11:22  lr: 0.000003  loss: 2.6901 (2.6420)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [23]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.9495 (2.6540)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [23]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.7304 (2.6502)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [ 270/1251]  eta: 0:11:00  lr: 0.000003  loss: 2.7304 (2.6557)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.8152 (2.6560)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [23]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.6157 (2.6499)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [23]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.5370 (2.6492)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [23]  [ 310/1251]  eta: 0:10:31  lr: 0.000003  loss: 2.7583 (2.6542)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [23]  [ 320/1251]  eta: 0:10:24  lr: 0.000003  loss: 2.6127 (2.6478)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [23]  [ 330/1251]  eta: 0:10:17  lr: 0.000003  loss: 2.5207 (2.6443)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [23]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.6223 (2.6398)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [23]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.6321 (2.6440)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [23]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.9112 (2.6489)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.8597 (2.6481)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [23]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.5777 (2.6429)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [23]  [ 390/1251]  eta: 0:09:35  lr: 0.000003  loss: 2.6114 (2.6447)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [23]  [ 400/1251]  eta: 0:09:28  lr: 0.000003  loss: 2.6678 (2.6446)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [23]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.7327 (2.6471)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [23]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.7523 (2.6486)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [23]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.8567 (2.6497)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [23]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.8876 (2.6526)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [23]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.8723 (2.6534)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [23]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.8421 (2.6552)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [23]  [ 470/1251]  eta: 0:08:40  lr: 0.000003  loss: 2.6899 (2.6523)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [23]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.6071 (2.6507)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [23]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7355 (2.6515)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [23]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.7594 (2.6508)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [23]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.8223 (2.6547)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [23]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.8652 (2.6566)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [23]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.7215 (2.6574)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [23]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.7215 (2.6569)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [23]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.6488 (2.6544)  time: 0.6567  data: 0.0002  max mem: 36795
Epoch: [23]  [ 560/1251]  eta: 0:07:39  lr: 0.000003  loss: 2.5009 (2.6533)  time: 0.6562  data: 0.0003  max mem: 36795
Epoch: [23]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.5851 (2.6507)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [23]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.6387 (2.6512)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [23]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.7359 (2.6503)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [ 600/1251]  eta: 0:07:12  lr: 0.000003  loss: 2.7358 (2.6479)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [23]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.5508 (2.6452)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [23]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.5954 (2.6461)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [23]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.7096 (2.6446)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.7443 (2.6457)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [23]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.6861 (2.6434)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [23]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.4994 (2.6402)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [23]  [ 670/1251]  eta: 0:06:25  lr: 0.000003  loss: 2.5829 (2.6411)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [23]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7428 (2.6406)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.7428 (2.6402)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [23]  [ 700/1251]  eta: 0:06:05  lr: 0.000003  loss: 2.7805 (2.6395)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [23]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.6990 (2.6392)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [23]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.6527 (2.6398)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [23]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.7089 (2.6404)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [23]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.7370 (2.6413)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [23]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.6796 (2.6386)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [23]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.6843 (2.6397)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [23]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.8559 (2.6403)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [23]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.7641 (2.6394)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [23]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.6192 (2.6408)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [23]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6764 (2.6414)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [23]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.6726 (2.6404)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.7360 (2.6418)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [23]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.7898 (2.6430)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [23]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.6486 (2.6406)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [23]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.6486 (2.6408)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [23]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7555 (2.6423)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.6869 (2.6415)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [23]  [ 880/1251]  eta: 0:04:05  lr: 0.000003  loss: 2.7704 (2.6422)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [23]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.6405 (2.6409)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [23]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.4418 (2.6387)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [23]  [ 910/1251]  eta: 0:03:45  lr: 0.000003  loss: 2.3955 (2.6367)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [23]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.6020 (2.6376)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [23]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7640 (2.6380)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [23]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7072 (2.6371)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [23]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.6802 (2.6384)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [23]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.6988 (2.6375)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [23]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.6711 (2.6372)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [23]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.6802 (2.6379)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [23]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.5526 (2.6369)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [23]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.5526 (2.6356)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [23]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.6688 (2.6347)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [23]  [1020/1251]  eta: 0:02:32  lr: 0.000003  loss: 2.6431 (2.6343)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [23]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.6156 (2.6337)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [23]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.7182 (2.6329)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [23]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.6597 (2.6331)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [23]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.5979 (2.6321)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [23]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.5695 (2.6310)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [23]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.6067 (2.6320)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [23]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7457 (2.6330)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [23]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7408 (2.6331)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [23]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.5858 (2.6326)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [23]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.5418 (2.6322)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [23]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6186 (2.6318)  time: 0.6598  data: 0.0003  max mem: 36795
Epoch: [23]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6299 (2.6312)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [23]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.6560 (2.6310)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [23]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.8426 (2.6311)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [23]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.7376 (2.6307)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [23]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.5887 (2.6298)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [23]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.5887 (2.6297)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.6590 (2.6294)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.4723 (2.6271)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.3458 (2.6268)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [23]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.4811 (2.6258)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [23]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7497 (2.6263)  time: 0.6575  data: 0.0009  max mem: 36795
Epoch: [23]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7700 (2.6270)  time: 0.6563  data: 0.0008  max mem: 36795
Epoch: [23] Total time: 0:13:48 (0.6619 s / it)
Averaged stats: lr: 0.000003  loss: 2.7700 (2.6316)
Test:  [ 0/25]  eta: 0:03:21  loss: 0.5975 (0.5975)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 8.0433  data: 7.6210  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.7457 (0.7323)  acc1: 87.6000 (87.4545)  acc5: 98.0000 (98.0727)  time: 1.0948  data: 0.6931  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8469 (0.8570)  acc1: 82.4000 (84.0952)  acc5: 97.2000 (97.0286)  time: 0.3892  data: 0.0002  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9479 (0.8659)  acc1: 80.4000 (83.7280)  acc5: 96.8000 (96.9920)  time: 0.3816  data: 0.0001  max mem: 36795
Test: Total time: 0:00:17 (0.7058 s / it)
* Acc@1 84.198 Acc@5 97.042 loss 0.854
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.27%
Epoch: [24]  [   0/1251]  eta: 1:54:30  lr: 0.000003  loss: 2.9215 (2.9215)  time: 5.4920  data: 4.8590  max mem: 36795
Epoch: [24]  [  10/1251]  eta: 0:22:45  lr: 0.000003  loss: 2.6799 (2.6558)  time: 1.1004  data: 0.4419  max mem: 36795
Epoch: [24]  [  20/1251]  eta: 0:18:14  lr: 0.000003  loss: 2.6648 (2.6024)  time: 0.6593  data: 0.0002  max mem: 36795
Epoch: [24]  [  30/1251]  eta: 0:16:34  lr: 0.000003  loss: 2.7470 (2.6163)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [24]  [  40/1251]  eta: 0:15:40  lr: 0.000003  loss: 2.7766 (2.6424)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [24]  [  50/1251]  eta: 0:15:04  lr: 0.000003  loss: 2.8408 (2.6515)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [24]  [  60/1251]  eta: 0:14:38  lr: 0.000003  loss: 2.8196 (2.6771)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [24]  [  70/1251]  eta: 0:14:17  lr: 0.000003  loss: 2.7403 (2.6799)  time: 0.6566  data: 0.0002  max mem: 36795
Epoch: [24]  [  80/1251]  eta: 0:13:59  lr: 0.000003  loss: 2.7194 (2.6583)  time: 0.6564  data: 0.0002  max mem: 36795
Epoch: [24]  [  90/1251]  eta: 0:13:45  lr: 0.000003  loss: 2.6519 (2.6632)  time: 0.6567  data: 0.0003  max mem: 36795
Epoch: [24]  [ 100/1251]  eta: 0:13:32  lr: 0.000003  loss: 2.7986 (2.6636)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [24]  [ 110/1251]  eta: 0:13:20  lr: 0.000003  loss: 2.6730 (2.6547)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [24]  [ 120/1251]  eta: 0:13:09  lr: 0.000003  loss: 2.7890 (2.6660)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [24]  [ 130/1251]  eta: 0:12:58  lr: 0.000003  loss: 2.8151 (2.6674)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [24]  [ 140/1251]  eta: 0:12:49  lr: 0.000003  loss: 2.8007 (2.6716)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [24]  [ 150/1251]  eta: 0:12:39  lr: 0.000003  loss: 2.7949 (2.6768)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [24]  [ 160/1251]  eta: 0:12:30  lr: 0.000003  loss: 2.7194 (2.6731)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [24]  [ 170/1251]  eta: 0:12:21  lr: 0.000003  loss: 2.6900 (2.6775)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [24]  [ 180/1251]  eta: 0:12:13  lr: 0.000003  loss: 2.7348 (2.6792)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [24]  [ 190/1251]  eta: 0:12:04  lr: 0.000003  loss: 2.6493 (2.6695)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [24]  [ 200/1251]  eta: 0:11:56  lr: 0.000003  loss: 2.4638 (2.6514)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [24]  [ 210/1251]  eta: 0:11:48  lr: 0.000003  loss: 2.5433 (2.6533)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [24]  [ 220/1251]  eta: 0:11:40  lr: 0.000003  loss: 2.7247 (2.6542)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [24]  [ 230/1251]  eta: 0:11:33  lr: 0.000003  loss: 2.5494 (2.6529)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [24]  [ 240/1251]  eta: 0:11:25  lr: 0.000003  loss: 2.6428 (2.6531)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [24]  [ 250/1251]  eta: 0:11:18  lr: 0.000003  loss: 2.5706 (2.6503)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [24]  [ 260/1251]  eta: 0:11:10  lr: 0.000003  loss: 2.5297 (2.6451)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [24]  [ 270/1251]  eta: 0:11:03  lr: 0.000003  loss: 2.7645 (2.6533)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [24]  [ 280/1251]  eta: 0:10:55  lr: 0.000003  loss: 2.9104 (2.6569)  time: 0.6592  data: 0.0002  max mem: 36795
Epoch: [24]  [ 290/1251]  eta: 0:10:48  lr: 0.000003  loss: 2.6530 (2.6533)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [24]  [ 300/1251]  eta: 0:10:41  lr: 0.000003  loss: 2.6485 (2.6523)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [24]  [ 310/1251]  eta: 0:10:33  lr: 0.000003  loss: 2.6882 (2.6509)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [24]  [ 320/1251]  eta: 0:10:26  lr: 0.000003  loss: 2.7440 (2.6527)  time: 0.6589  data: 0.0002  max mem: 36795
Epoch: [24]  [ 330/1251]  eta: 0:10:19  lr: 0.000003  loss: 2.5776 (2.6434)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [24]  [ 340/1251]  eta: 0:10:12  lr: 0.000003  loss: 2.5278 (2.6422)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [24]  [ 350/1251]  eta: 0:10:05  lr: 0.000003  loss: 2.6026 (2.6391)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [24]  [ 360/1251]  eta: 0:09:58  lr: 0.000003  loss: 2.6026 (2.6375)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [24]  [ 370/1251]  eta: 0:09:51  lr: 0.000003  loss: 2.6777 (2.6374)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [24]  [ 380/1251]  eta: 0:09:44  lr: 0.000003  loss: 2.7625 (2.6414)  time: 0.6592  data: 0.0002  max mem: 36795
Epoch: [24]  [ 390/1251]  eta: 0:09:37  lr: 0.000003  loss: 2.7304 (2.6400)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [24]  [ 400/1251]  eta: 0:09:30  lr: 0.000003  loss: 2.5199 (2.6355)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [24]  [ 410/1251]  eta: 0:09:23  lr: 0.000003  loss: 2.5917 (2.6368)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [24]  [ 420/1251]  eta: 0:09:16  lr: 0.000003  loss: 2.8874 (2.6409)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [24]  [ 430/1251]  eta: 0:09:09  lr: 0.000003  loss: 2.8874 (2.6431)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [24]  [ 440/1251]  eta: 0:09:02  lr: 0.000003  loss: 2.7610 (2.6447)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [24]  [ 450/1251]  eta: 0:08:55  lr: 0.000003  loss: 2.7349 (2.6432)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [24]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.6794 (2.6399)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [24]  [ 470/1251]  eta: 0:08:42  lr: 0.000003  loss: 2.6794 (2.6410)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [24]  [ 480/1251]  eta: 0:08:35  lr: 0.000003  loss: 2.7689 (2.6406)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [24]  [ 490/1251]  eta: 0:08:28  lr: 0.000003  loss: 2.7435 (2.6374)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [24]  [ 500/1251]  eta: 0:08:21  lr: 0.000003  loss: 2.6945 (2.6377)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [24]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.7789 (2.6406)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [24]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.7566 (2.6393)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [24]  [ 530/1251]  eta: 0:08:01  lr: 0.000003  loss: 2.5345 (2.6350)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [24]  [ 540/1251]  eta: 0:07:54  lr: 0.000003  loss: 2.7130 (2.6357)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [24]  [ 550/1251]  eta: 0:07:47  lr: 0.000003  loss: 2.7863 (2.6325)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [24]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.4656 (2.6302)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [24]  [ 570/1251]  eta: 0:07:34  lr: 0.000003  loss: 2.3045 (2.6239)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [24]  [ 580/1251]  eta: 0:07:27  lr: 0.000003  loss: 2.4436 (2.6233)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [24]  [ 590/1251]  eta: 0:07:20  lr: 0.000003  loss: 2.7389 (2.6247)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [24]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.8000 (2.6263)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [24]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.8186 (2.6286)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [24]  [ 620/1251]  eta: 0:07:00  lr: 0.000003  loss: 2.7794 (2.6297)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [24]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.6058 (2.6277)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [24]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.6371 (2.6284)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [24]  [ 650/1251]  eta: 0:06:40  lr: 0.000003  loss: 2.7225 (2.6295)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [24]  [ 660/1251]  eta: 0:06:33  lr: 0.000003  loss: 2.7516 (2.6316)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [24]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.7516 (2.6330)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [24]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7200 (2.6319)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [24]  [ 690/1251]  eta: 0:06:13  lr: 0.000003  loss: 2.5980 (2.6314)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [24]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.6473 (2.6304)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [24]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.4427 (2.6256)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [24]  [ 720/1251]  eta: 0:05:53  lr: 0.000003  loss: 2.4630 (2.6262)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [24]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.6934 (2.6255)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [24]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.7176 (2.6268)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [24]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.7555 (2.6282)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [24]  [ 760/1251]  eta: 0:05:26  lr: 0.000003  loss: 2.7555 (2.6284)  time: 0.6594  data: 0.0002  max mem: 36795
Epoch: [24]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.7069 (2.6308)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [24]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.7018 (2.6289)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [24]  [ 790/1251]  eta: 0:05:06  lr: 0.000003  loss: 2.6525 (2.6297)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [24]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.7051 (2.6296)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [24]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.6111 (2.6270)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [24]  [ 820/1251]  eta: 0:04:46  lr: 0.000003  loss: 2.6217 (2.6276)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [24]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.5443 (2.6255)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [24]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.6843 (2.6280)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [24]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.8447 (2.6296)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [24]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.7973 (2.6306)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [24]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.7093 (2.6312)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [24]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.7093 (2.6303)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [24]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.6227 (2.6288)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [24]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.7288 (2.6306)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [24]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.7607 (2.6298)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [24]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.5492 (2.6296)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [24]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.8331 (2.6322)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [24]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.8643 (2.6318)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [24]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.5762 (2.6310)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [24]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.5558 (2.6302)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [24]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.6777 (2.6304)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [24]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.8658 (2.6333)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [24]  [ 990/1251]  eta: 0:02:53  lr: 0.000003  loss: 2.8984 (2.6326)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [24]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.6014 (2.6312)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [24]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.4592 (2.6305)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [24]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.7118 (2.6306)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [24]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.7663 (2.6311)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [24]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.7781 (2.6316)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [24]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7961 (2.6321)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [24]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.6532 (2.6310)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [24]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.6353 (2.6311)  time: 0.6594  data: 0.0002  max mem: 36795
Epoch: [24]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.7031 (2.6308)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [24]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7535 (2.6315)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [24]  [1100/1251]  eta: 0:01:40  lr: 0.000003  loss: 2.7423 (2.6326)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [24]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.6688 (2.6317)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [24]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6030 (2.6308)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [24]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.7806 (2.6320)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [24]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.7927 (2.6326)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [24]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.6354 (2.6326)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [24]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.6242 (2.6317)  time: 0.6600  data: 0.0003  max mem: 36795
Epoch: [24]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.3829 (2.6292)  time: 0.6602  data: 0.0003  max mem: 36795
Epoch: [24]  [1180/1251]  eta: 0:00:47  lr: 0.000003  loss: 2.3221 (2.6286)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [24]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.6987 (2.6279)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [24]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.7452 (2.6278)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [24]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.7913 (2.6288)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [24]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7762 (2.6300)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [24]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.7762 (2.6297)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [24]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.6846 (2.6292)  time: 0.6578  data: 0.0009  max mem: 36795
Epoch: [24]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.6846 (2.6291)  time: 0.6564  data: 0.0008  max mem: 36795
Epoch: [24] Total time: 0:13:48 (0.6625 s / it)
Averaged stats: lr: 0.000003  loss: 2.6846 (2.6300)
Test:  [ 0/25]  eta: 0:03:20  loss: 0.5805 (0.5805)  acc1: 91.2000 (91.2000)  acc5: 99.2000 (99.2000)  time: 8.0317  data: 7.6600  max mem: 36795
Test:  [10/25]  eta: 0:00:16  loss: 0.7356 (0.7208)  acc1: 87.2000 (87.4545)  acc5: 98.0000 (98.0000)  time: 1.0806  data: 0.6967  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8394 (0.8454)  acc1: 82.4000 (83.8857)  acc5: 97.2000 (97.0476)  time: 0.3816  data: 0.0030  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9378 (0.8539)  acc1: 80.4000 (83.5520)  acc5: 96.8000 (97.0080)  time: 0.3779  data: 0.0029  max mem: 36795
Test: Total time: 0:00:17 (0.6947 s / it)
* Acc@1 84.178 Acc@5 97.024 loss 0.842
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.27%
Epoch: [25]  [   0/1251]  eta: 1:49:01  lr: 0.000003  loss: 2.9311 (2.9311)  time: 5.2294  data: 4.5852  max mem: 36795
Epoch: [25]  [  10/1251]  eta: 0:22:19  lr: 0.000003  loss: 2.8755 (2.7284)  time: 1.0794  data: 0.4171  max mem: 36795
Epoch: [25]  [  20/1251]  eta: 0:18:01  lr: 0.000003  loss: 2.5628 (2.6438)  time: 0.6606  data: 0.0002  max mem: 36795
Epoch: [25]  [  30/1251]  eta: 0:16:25  lr: 0.000003  loss: 2.7502 (2.6933)  time: 0.6568  data: 0.0002  max mem: 36795
Epoch: [25]  [  40/1251]  eta: 0:15:32  lr: 0.000003  loss: 2.7677 (2.6850)  time: 0.6568  data: 0.0002  max mem: 36795
Epoch: [25]  [  50/1251]  eta: 0:14:58  lr: 0.000003  loss: 2.7677 (2.6860)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [25]  [  60/1251]  eta: 0:14:33  lr: 0.000003  loss: 2.7928 (2.6609)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [25]  [  70/1251]  eta: 0:14:13  lr: 0.000003  loss: 2.6381 (2.6620)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [25]  [  80/1251]  eta: 0:13:57  lr: 0.000003  loss: 2.7467 (2.6817)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [25]  [  90/1251]  eta: 0:13:42  lr: 0.000003  loss: 2.7612 (2.6665)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [25]  [ 100/1251]  eta: 0:13:29  lr: 0.000003  loss: 2.6902 (2.6692)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [25]  [ 110/1251]  eta: 0:13:18  lr: 0.000003  loss: 2.6405 (2.6483)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [25]  [ 120/1251]  eta: 0:13:07  lr: 0.000003  loss: 2.5521 (2.6416)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [25]  [ 130/1251]  eta: 0:12:56  lr: 0.000003  loss: 2.6160 (2.6390)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [25]  [ 140/1251]  eta: 0:12:47  lr: 0.000003  loss: 2.5637 (2.6290)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [25]  [ 150/1251]  eta: 0:12:37  lr: 0.000003  loss: 2.4923 (2.6125)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [25]  [ 160/1251]  eta: 0:12:28  lr: 0.000003  loss: 2.6223 (2.6166)  time: 0.6571  data: 0.0003  max mem: 36795
Epoch: [25]  [ 170/1251]  eta: 0:12:20  lr: 0.000003  loss: 2.7568 (2.6272)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [25]  [ 180/1251]  eta: 0:12:11  lr: 0.000003  loss: 2.8541 (2.6334)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [25]  [ 190/1251]  eta: 0:12:03  lr: 0.000003  loss: 2.8541 (2.6344)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [25]  [ 200/1251]  eta: 0:11:55  lr: 0.000003  loss: 2.7683 (2.6375)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [25]  [ 210/1251]  eta: 0:11:47  lr: 0.000003  loss: 2.6459 (2.6298)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [25]  [ 220/1251]  eta: 0:11:39  lr: 0.000003  loss: 2.5940 (2.6238)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [25]  [ 230/1251]  eta: 0:11:32  lr: 0.000003  loss: 2.3919 (2.6119)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [25]  [ 240/1251]  eta: 0:11:24  lr: 0.000003  loss: 2.7029 (2.6180)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [25]  [ 250/1251]  eta: 0:11:17  lr: 0.000003  loss: 2.7453 (2.6177)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [25]  [ 260/1251]  eta: 0:11:09  lr: 0.000003  loss: 2.6539 (2.6192)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [25]  [ 270/1251]  eta: 0:11:02  lr: 0.000003  loss: 2.7614 (2.6235)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [25]  [ 280/1251]  eta: 0:10:54  lr: 0.000003  loss: 2.7155 (2.6233)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [25]  [ 290/1251]  eta: 0:10:47  lr: 0.000003  loss: 2.4873 (2.6174)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [25]  [ 300/1251]  eta: 0:10:40  lr: 0.000003  loss: 2.5064 (2.6166)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [25]  [ 310/1251]  eta: 0:10:33  lr: 0.000003  loss: 2.6798 (2.6213)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [25]  [ 320/1251]  eta: 0:10:26  lr: 0.000003  loss: 2.7427 (2.6224)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [25]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.7980 (2.6238)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [25]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.7980 (2.6238)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [25]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.6124 (2.6201)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [25]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.7131 (2.6244)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [25]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.7804 (2.6265)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [25]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.6822 (2.6251)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [25]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.6822 (2.6294)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [25]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.5912 (2.6253)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [25]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.4964 (2.6212)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [25]  [ 420/1251]  eta: 0:09:16  lr: 0.000003  loss: 2.5041 (2.6209)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [25]  [ 430/1251]  eta: 0:09:09  lr: 0.000003  loss: 2.6785 (2.6234)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [25]  [ 440/1251]  eta: 0:09:02  lr: 0.000003  loss: 2.7195 (2.6236)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [25]  [ 450/1251]  eta: 0:08:55  lr: 0.000003  loss: 2.7430 (2.6252)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [25]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.6879 (2.6266)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [25]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.6541 (2.6270)  time: 0.6602  data: 0.0003  max mem: 36795
Epoch: [25]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.8186 (2.6286)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [25]  [ 490/1251]  eta: 0:08:28  lr: 0.000003  loss: 2.7809 (2.6306)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [25]  [ 500/1251]  eta: 0:08:21  lr: 0.000003  loss: 2.7303 (2.6309)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [25]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.6956 (2.6303)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [25]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.7718 (2.6344)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [25]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.7911 (2.6339)  time: 0.6605  data: 0.0003  max mem: 36795
Epoch: [25]  [ 540/1251]  eta: 0:07:54  lr: 0.000003  loss: 2.8247 (2.6364)  time: 0.6611  data: 0.0002  max mem: 36795
Epoch: [25]  [ 550/1251]  eta: 0:07:47  lr: 0.000003  loss: 2.8675 (2.6376)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [25]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.7351 (2.6382)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [25]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.7272 (2.6391)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [25]  [ 580/1251]  eta: 0:07:27  lr: 0.000003  loss: 2.7089 (2.6391)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [25]  [ 590/1251]  eta: 0:07:20  lr: 0.000003  loss: 2.7089 (2.6410)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [25]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.7772 (2.6419)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [25]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.7635 (2.6409)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [25]  [ 620/1251]  eta: 0:07:00  lr: 0.000003  loss: 2.7256 (2.6415)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [25]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.7223 (2.6416)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [25]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.7778 (2.6424)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [25]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.7407 (2.6427)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [25]  [ 660/1251]  eta: 0:06:33  lr: 0.000003  loss: 2.6912 (2.6416)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [25]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.5277 (2.6392)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [25]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.6607 (2.6407)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [25]  [ 690/1251]  eta: 0:06:13  lr: 0.000003  loss: 2.6607 (2.6378)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [25]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.5492 (2.6380)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [25]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7132 (2.6397)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [25]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.8251 (2.6413)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [25]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.7732 (2.6422)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [25]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.7037 (2.6441)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [25]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.7037 (2.6449)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [25]  [ 760/1251]  eta: 0:05:26  lr: 0.000003  loss: 2.7284 (2.6447)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [25]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.7315 (2.6446)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [25]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.7040 (2.6435)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [25]  [ 790/1251]  eta: 0:05:06  lr: 0.000003  loss: 2.7040 (2.6438)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [25]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.5668 (2.6412)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [25]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.6656 (2.6414)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [25]  [ 820/1251]  eta: 0:04:46  lr: 0.000003  loss: 2.7572 (2.6414)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [25]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.7572 (2.6421)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [25]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7579 (2.6416)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [25]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.7104 (2.6415)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [25]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.6625 (2.6387)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [25]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.5578 (2.6376)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [25]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.6974 (2.6382)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [25]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.8439 (2.6411)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [25]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.8898 (2.6416)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [25]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.8244 (2.6416)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [25]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.6749 (2.6412)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [25]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7228 (2.6419)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [25]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.7420 (2.6429)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [25]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.6514 (2.6410)  time: 0.6597  data: 0.0002  max mem: 36795
Epoch: [25]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.6521 (2.6415)  time: 0.6598  data: 0.0003  max mem: 36795
Epoch: [25]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.7210 (2.6419)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [25]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7136 (2.6424)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [25]  [ 990/1251]  eta: 0:02:53  lr: 0.000003  loss: 2.6973 (2.6415)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [25]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.7202 (2.6431)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [25]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.8008 (2.6428)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [25]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.7814 (2.6431)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [25]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.8231 (2.6423)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [25]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.7009 (2.6417)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [25]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.4005 (2.6395)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [25]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7034 (2.6398)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [25]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7618 (2.6407)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [25]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.6946 (2.6393)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [25]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.6098 (2.6377)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [25]  [1100/1251]  eta: 0:01:40  lr: 0.000003  loss: 2.6633 (2.6381)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [25]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.7196 (2.6391)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [25]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.8225 (2.6386)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [25]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6168 (2.6367)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [25]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6143 (2.6360)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [25]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.6347 (2.6363)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [25]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.6347 (2.6359)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [25]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.4892 (2.6340)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [25]  [1180/1251]  eta: 0:00:47  lr: 0.000003  loss: 2.7602 (2.6355)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [25]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.8189 (2.6358)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [25]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.8081 (2.6359)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [25]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.7081 (2.6361)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [25]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.5828 (2.6363)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [25]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.5828 (2.6358)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [25]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.6453 (2.6352)  time: 0.6577  data: 0.0009  max mem: 36795
Epoch: [25]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.6699 (2.6357)  time: 0.6564  data: 0.0008  max mem: 36795
Epoch: [25] Total time: 0:13:48 (0.6624 s / it)
Averaged stats: lr: 0.000003  loss: 2.6699 (2.6270)
Test:  [ 0/25]  eta: 0:02:21  loss: 0.6103 (0.6103)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 5.6672  data: 5.2959  max mem: 36795
Test:  [10/25]  eta: 0:00:15  loss: 0.7662 (0.7487)  acc1: 87.6000 (87.3455)  acc5: 98.0000 (98.0364)  time: 1.0441  data: 0.6503  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8718 (0.8753)  acc1: 82.4000 (83.8286)  acc5: 97.2000 (97.1238)  time: 0.4777  data: 0.0929  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9714 (0.8846)  acc1: 80.0000 (83.4400)  acc5: 96.8000 (97.0720)  time: 0.3777  data: 0.0001  max mem: 36795
Test: Total time: 0:00:16 (0.6767 s / it)
* Acc@1 84.164 Acc@5 97.026 loss 0.872
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.27%
Epoch: [26]  [   0/1251]  eta: 1:34:48  lr: 0.000003  loss: 1.8576 (1.8576)  time: 4.5468  data: 3.2639  max mem: 36795
Epoch: [26]  [  10/1251]  eta: 0:21:17  lr: 0.000003  loss: 2.8631 (2.7068)  time: 1.0292  data: 0.2970  max mem: 36795
Epoch: [26]  [  20/1251]  eta: 0:17:29  lr: 0.000003  loss: 2.6788 (2.6769)  time: 0.6678  data: 0.0002  max mem: 36795
Epoch: [26]  [  30/1251]  eta: 0:16:03  lr: 0.000003  loss: 2.7389 (2.6836)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [26]  [  40/1251]  eta: 0:15:16  lr: 0.000003  loss: 2.7664 (2.6839)  time: 0.6568  data: 0.0002  max mem: 36795
Epoch: [26]  [  50/1251]  eta: 0:14:45  lr: 0.000003  loss: 2.7417 (2.6714)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [26]  [  60/1251]  eta: 0:14:22  lr: 0.000003  loss: 2.6748 (2.6622)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [26]  [  70/1251]  eta: 0:14:04  lr: 0.000003  loss: 2.8469 (2.6922)  time: 0.6571  data: 0.0002  max mem: 36795
Epoch: [26]  [  80/1251]  eta: 0:13:48  lr: 0.000003  loss: 2.8668 (2.6684)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [26]  [  90/1251]  eta: 0:13:35  lr: 0.000003  loss: 2.6361 (2.6529)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [26]  [ 100/1251]  eta: 0:13:23  lr: 0.000003  loss: 2.6060 (2.6584)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [26]  [ 110/1251]  eta: 0:13:12  lr: 0.000003  loss: 2.7254 (2.6590)  time: 0.6572  data: 0.0003  max mem: 36795
Epoch: [26]  [ 120/1251]  eta: 0:13:01  lr: 0.000003  loss: 2.6237 (2.6432)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [26]  [ 130/1251]  eta: 0:12:52  lr: 0.000003  loss: 2.2691 (2.6179)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [26]  [ 140/1251]  eta: 0:12:43  lr: 0.000003  loss: 2.4798 (2.6135)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [26]  [ 150/1251]  eta: 0:12:34  lr: 0.000003  loss: 2.5791 (2.6140)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [26]  [ 160/1251]  eta: 0:12:25  lr: 0.000003  loss: 2.7145 (2.6151)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [26]  [ 170/1251]  eta: 0:12:17  lr: 0.000003  loss: 2.6094 (2.6152)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [26]  [ 180/1251]  eta: 0:12:08  lr: 0.000003  loss: 2.5308 (2.6127)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [26]  [ 190/1251]  eta: 0:12:00  lr: 0.000003  loss: 2.7334 (2.6161)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [26]  [ 200/1251]  eta: 0:11:53  lr: 0.000003  loss: 2.6667 (2.5963)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [26]  [ 210/1251]  eta: 0:11:45  lr: 0.000003  loss: 2.4136 (2.5961)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [26]  [ 220/1251]  eta: 0:11:37  lr: 0.000003  loss: 2.5337 (2.5897)  time: 0.6589  data: 0.0002  max mem: 36795
Epoch: [26]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.4861 (2.5817)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [26]  [ 240/1251]  eta: 0:11:22  lr: 0.000003  loss: 2.6748 (2.5869)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [26]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.7554 (2.5926)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [26]  [ 260/1251]  eta: 0:11:07  lr: 0.000003  loss: 2.6530 (2.5871)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [26]  [ 270/1251]  eta: 0:11:00  lr: 0.000003  loss: 2.6466 (2.5886)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [26]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.6762 (2.5892)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [26]  [ 290/1251]  eta: 0:10:45  lr: 0.000003  loss: 2.5373 (2.5875)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [26]  [ 300/1251]  eta: 0:10:38  lr: 0.000003  loss: 2.5698 (2.5882)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [26]  [ 310/1251]  eta: 0:10:31  lr: 0.000003  loss: 2.7132 (2.5888)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [26]  [ 320/1251]  eta: 0:10:24  lr: 0.000003  loss: 2.5753 (2.5866)  time: 0.6610  data: 0.0002  max mem: 36795
Epoch: [26]  [ 330/1251]  eta: 0:10:17  lr: 0.000003  loss: 2.4504 (2.5811)  time: 0.6601  data: 0.0003  max mem: 36795
Epoch: [26]  [ 340/1251]  eta: 0:10:10  lr: 0.000003  loss: 2.4504 (2.5792)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [26]  [ 350/1251]  eta: 0:10:03  lr: 0.000003  loss: 2.6341 (2.5837)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [26]  [ 360/1251]  eta: 0:09:56  lr: 0.000003  loss: 2.7179 (2.5831)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [26]  [ 370/1251]  eta: 0:09:49  lr: 0.000003  loss: 2.6103 (2.5825)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [26]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.6365 (2.5817)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [26]  [ 390/1251]  eta: 0:09:35  lr: 0.000003  loss: 2.7995 (2.5911)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [26]  [ 400/1251]  eta: 0:09:28  lr: 0.000003  loss: 2.9199 (2.5904)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [26]  [ 410/1251]  eta: 0:09:21  lr: 0.000003  loss: 2.6732 (2.5924)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [26]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.6306 (2.5915)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [26]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.5962 (2.5930)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [26]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.5718 (2.5889)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [26]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.7720 (2.5938)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [26]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.8412 (2.5983)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [26]  [ 470/1251]  eta: 0:08:40  lr: 0.000003  loss: 2.8412 (2.5983)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [26]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.5377 (2.5972)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [26]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.5201 (2.5966)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [26]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.5687 (2.5951)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [26]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.5847 (2.5969)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [26]  [ 520/1251]  eta: 0:08:06  lr: 0.000003  loss: 2.8163 (2.6000)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [26]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.7292 (2.6003)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [26]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.7157 (2.5999)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [26]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.8171 (2.6019)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [26]  [ 560/1251]  eta: 0:07:39  lr: 0.000003  loss: 2.7918 (2.6032)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [26]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.7746 (2.6060)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [26]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.7746 (2.6061)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [26]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.7193 (2.6089)  time: 0.6595  data: 0.0002  max mem: 36795
Epoch: [26]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.7073 (2.6097)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [26]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.8224 (2.6130)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [26]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.6226 (2.6123)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [26]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.5333 (2.6092)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [26]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.5535 (2.6094)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [26]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.5535 (2.6081)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [26]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.6543 (2.6091)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [26]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.7003 (2.6071)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [26]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.4849 (2.6056)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [26]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.5924 (2.6052)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [26]  [ 700/1251]  eta: 0:06:05  lr: 0.000003  loss: 2.6774 (2.6066)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [26]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.4730 (2.6017)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [26]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.2661 (2.5995)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [26]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.6679 (2.6025)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [26]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.8701 (2.6046)  time: 0.6604  data: 0.0003  max mem: 36795
Epoch: [26]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.7711 (2.6032)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [26]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.6656 (2.6043)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [26]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.6656 (2.6009)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [26]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.4685 (2.5998)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [26]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.7950 (2.6018)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [26]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.7976 (2.6045)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [26]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.7785 (2.6042)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [26]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.6385 (2.6036)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [26]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.6635 (2.6035)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [26]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7250 (2.6055)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [26]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.8542 (2.6073)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [26]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.8542 (2.6086)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [26]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.8335 (2.6100)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [26]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.8857 (2.6107)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [26]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.8331 (2.6117)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [26]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.6862 (2.6104)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [26]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.6051 (2.6105)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [26]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.6420 (2.6091)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [26]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.5518 (2.6071)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [26]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.5518 (2.6062)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [26]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.5428 (2.6059)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [26]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.6862 (2.6074)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [26]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.7592 (2.6072)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [26]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7489 (2.6072)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [26]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.5283 (2.6067)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [26]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.7072 (2.6081)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [26]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.6640 (2.6065)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [26]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.4280 (2.6056)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [26]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.6401 (2.6054)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [26]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6676 (2.6061)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [26]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.8185 (2.6082)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [26]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.8143 (2.6085)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [26]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.6419 (2.6085)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [26]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.4697 (2.6070)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [26]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.4613 (2.6074)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [26]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.8035 (2.6089)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [26]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.8137 (2.6103)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [26]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.7480 (2.6098)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [26]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.6510 (2.6096)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [26]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.5500 (2.6087)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [26]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.4012 (2.6075)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [26]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.3627 (2.6061)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [26]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.3085 (2.6041)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [26]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.4738 (2.6041)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [26]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.6458 (2.6030)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [26]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.4672 (2.6013)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [26]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.6737 (2.6028)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [26]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7724 (2.6020)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [26]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.6152 (2.6022)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [26]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.6003 (2.6009)  time: 0.6581  data: 0.0019  max mem: 36795
Epoch: [26]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.4401 (2.6008)  time: 0.6586  data: 0.0018  max mem: 36795
Epoch: [26] Total time: 0:13:48 (0.6621 s / it)
Averaged stats: lr: 0.000003  loss: 2.4401 (2.6183)
Test:  [ 0/25]  eta: 0:03:06  loss: 0.5606 (0.5606)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 7.4730  data: 7.1011  max mem: 36795
Test:  [10/25]  eta: 0:00:15  loss: 0.7077 (0.6950)  acc1: 88.0000 (87.5636)  acc5: 98.0000 (98.0364)  time: 1.0422  data: 0.6460  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8152 (0.8208)  acc1: 82.4000 (84.0762)  acc5: 96.8000 (97.0476)  time: 0.3920  data: 0.0003  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9092 (0.8300)  acc1: 80.4000 (83.7120)  acc5: 96.8000 (97.0240)  time: 0.3827  data: 0.0002  max mem: 36795
Test: Total time: 0:00:17 (0.6905 s / it)
* Acc@1 84.266 Acc@5 97.048 loss 0.819
Accuracy of the network on the 50000 test images: 84.3%
Max accuracy: 84.27%
Epoch: [27]  [   0/1251]  eta: 1:32:37  lr: 0.000003  loss: 2.4823 (2.4823)  time: 4.4422  data: 3.2731  max mem: 36795
Epoch: [27]  [  10/1251]  eta: 0:21:07  lr: 0.000003  loss: 2.9377 (2.8043)  time: 1.0215  data: 0.2978  max mem: 36795
Epoch: [27]  [  20/1251]  eta: 0:17:23  lr: 0.000003  loss: 2.6942 (2.6384)  time: 0.6681  data: 0.0003  max mem: 36795
Epoch: [27]  [  30/1251]  eta: 0:15:59  lr: 0.000003  loss: 2.5815 (2.6249)  time: 0.6566  data: 0.0002  max mem: 36795
Epoch: [27]  [  40/1251]  eta: 0:15:14  lr: 0.000003  loss: 2.6749 (2.6292)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [27]  [  50/1251]  eta: 0:14:43  lr: 0.000003  loss: 2.6964 (2.6353)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [27]  [  60/1251]  eta: 0:14:21  lr: 0.000003  loss: 2.7508 (2.6392)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [27]  [  70/1251]  eta: 0:14:02  lr: 0.000003  loss: 2.8441 (2.6676)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [27]  [  80/1251]  eta: 0:13:47  lr: 0.000003  loss: 2.8528 (2.6666)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [27]  [  90/1251]  eta: 0:13:34  lr: 0.000003  loss: 2.6957 (2.6727)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [27]  [ 100/1251]  eta: 0:13:22  lr: 0.000003  loss: 2.7059 (2.6680)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [27]  [ 110/1251]  eta: 0:13:11  lr: 0.000003  loss: 2.6750 (2.6674)  time: 0.6570  data: 0.0003  max mem: 36795
Epoch: [27]  [ 120/1251]  eta: 0:13:01  lr: 0.000003  loss: 2.5704 (2.6470)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [27]  [ 130/1251]  eta: 0:12:51  lr: 0.000003  loss: 2.4102 (2.6397)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [27]  [ 140/1251]  eta: 0:12:42  lr: 0.000003  loss: 2.6383 (2.6369)  time: 0.6577  data: 0.0004  max mem: 36795
Epoch: [27]  [ 150/1251]  eta: 0:12:33  lr: 0.000003  loss: 2.6663 (2.6348)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [27]  [ 160/1251]  eta: 0:12:24  lr: 0.000003  loss: 2.7717 (2.6444)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [27]  [ 170/1251]  eta: 0:12:16  lr: 0.000003  loss: 2.7739 (2.6499)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [27]  [ 180/1251]  eta: 0:12:07  lr: 0.000003  loss: 2.6998 (2.6463)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [27]  [ 190/1251]  eta: 0:11:59  lr: 0.000003  loss: 2.5031 (2.6389)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [27]  [ 200/1251]  eta: 0:11:52  lr: 0.000003  loss: 2.6841 (2.6458)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [27]  [ 210/1251]  eta: 0:11:44  lr: 0.000003  loss: 2.7119 (2.6403)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [27]  [ 220/1251]  eta: 0:11:36  lr: 0.000003  loss: 2.6815 (2.6385)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [27]  [ 230/1251]  eta: 0:11:29  lr: 0.000003  loss: 2.7171 (2.6360)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [27]  [ 240/1251]  eta: 0:11:21  lr: 0.000003  loss: 2.6718 (2.6310)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [27]  [ 250/1251]  eta: 0:11:14  lr: 0.000003  loss: 2.6804 (2.6324)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [27]  [ 260/1251]  eta: 0:11:06  lr: 0.000003  loss: 2.7030 (2.6290)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [27]  [ 270/1251]  eta: 0:10:59  lr: 0.000003  loss: 2.7652 (2.6351)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [27]  [ 280/1251]  eta: 0:10:52  lr: 0.000003  loss: 2.9216 (2.6411)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [27]  [ 290/1251]  eta: 0:10:45  lr: 0.000003  loss: 2.8218 (2.6450)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [27]  [ 300/1251]  eta: 0:10:38  lr: 0.000003  loss: 2.7506 (2.6474)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [27]  [ 310/1251]  eta: 0:10:31  lr: 0.000003  loss: 2.4805 (2.6397)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [27]  [ 320/1251]  eta: 0:10:23  lr: 0.000003  loss: 2.4459 (2.6352)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [27]  [ 330/1251]  eta: 0:10:16  lr: 0.000003  loss: 2.6694 (2.6335)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [27]  [ 340/1251]  eta: 0:10:09  lr: 0.000003  loss: 2.7444 (2.6344)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [27]  [ 350/1251]  eta: 0:10:02  lr: 0.000003  loss: 2.7015 (2.6313)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [27]  [ 360/1251]  eta: 0:09:55  lr: 0.000003  loss: 2.6030 (2.6310)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [27]  [ 370/1251]  eta: 0:09:48  lr: 0.000003  loss: 2.5651 (2.6268)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [27]  [ 380/1251]  eta: 0:09:42  lr: 0.000003  loss: 2.6541 (2.6292)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [27]  [ 390/1251]  eta: 0:09:35  lr: 0.000003  loss: 2.8769 (2.6309)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [27]  [ 400/1251]  eta: 0:09:28  lr: 0.000003  loss: 2.8578 (2.6303)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [27]  [ 410/1251]  eta: 0:09:21  lr: 0.000003  loss: 2.8193 (2.6320)  time: 0.6599  data: 0.0003  max mem: 36795
Epoch: [27]  [ 420/1251]  eta: 0:09:14  lr: 0.000003  loss: 2.6763 (2.6336)  time: 0.6604  data: 0.0003  max mem: 36795
Epoch: [27]  [ 430/1251]  eta: 0:09:07  lr: 0.000003  loss: 2.7445 (2.6351)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [27]  [ 440/1251]  eta: 0:09:00  lr: 0.000003  loss: 2.7734 (2.6365)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [27]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.7733 (2.6381)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [27]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.7700 (2.6399)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [27]  [ 470/1251]  eta: 0:08:40  lr: 0.000003  loss: 2.7921 (2.6426)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [27]  [ 480/1251]  eta: 0:08:33  lr: 0.000003  loss: 2.6471 (2.6369)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [27]  [ 490/1251]  eta: 0:08:26  lr: 0.000003  loss: 2.6187 (2.6389)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [27]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.6897 (2.6374)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [27]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.6977 (2.6391)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [27]  [ 520/1251]  eta: 0:08:06  lr: 0.000003  loss: 2.6977 (2.6371)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [27]  [ 530/1251]  eta: 0:07:59  lr: 0.000003  loss: 2.6292 (2.6367)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [27]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.7156 (2.6374)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [27]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.7156 (2.6371)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [27]  [ 560/1251]  eta: 0:07:39  lr: 0.000003  loss: 2.7904 (2.6401)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [27]  [ 570/1251]  eta: 0:07:32  lr: 0.000003  loss: 2.7627 (2.6409)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [27]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.6235 (2.6380)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [27]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.7197 (2.6409)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [27]  [ 600/1251]  eta: 0:07:12  lr: 0.000003  loss: 2.7197 (2.6372)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [27]  [ 610/1251]  eta: 0:07:05  lr: 0.000003  loss: 2.5761 (2.6382)  time: 0.6597  data: 0.0002  max mem: 36795
Epoch: [27]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.7318 (2.6374)  time: 0.6600  data: 0.0003  max mem: 36795
Epoch: [27]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.7201 (2.6370)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [27]  [ 640/1251]  eta: 0:06:45  lr: 0.000003  loss: 2.7524 (2.6384)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [27]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.7263 (2.6376)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [27]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.7263 (2.6386)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [27]  [ 670/1251]  eta: 0:06:25  lr: 0.000003  loss: 2.7083 (2.6392)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [27]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.6902 (2.6392)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [27]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.6765 (2.6378)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [27]  [ 700/1251]  eta: 0:06:05  lr: 0.000003  loss: 2.6620 (2.6384)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [27]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.6620 (2.6377)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [27]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.5796 (2.6367)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [27]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.6139 (2.6369)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [27]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.6407 (2.6359)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [27]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.5875 (2.6356)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [27]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.5451 (2.6352)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [27]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.7089 (2.6365)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [27]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.7502 (2.6375)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [27]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.8851 (2.6382)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [27]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.7761 (2.6378)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [27]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.7241 (2.6390)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [27]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.8410 (2.6397)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [27]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.8410 (2.6394)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [27]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.8653 (2.6413)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [27]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.8990 (2.6424)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [27]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.6183 (2.6389)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [27]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.6408 (2.6399)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [27]  [ 880/1251]  eta: 0:04:05  lr: 0.000003  loss: 2.7627 (2.6413)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [27]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7124 (2.6396)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [27]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.5865 (2.6390)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [27]  [ 910/1251]  eta: 0:03:45  lr: 0.000003  loss: 2.5865 (2.6400)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [27]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.8057 (2.6403)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [27]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.7877 (2.6408)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [27]  [ 940/1251]  eta: 0:03:25  lr: 0.000003  loss: 2.6848 (2.6401)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [27]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.8426 (2.6430)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [27]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.6951 (2.6409)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [27]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.5727 (2.6413)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [27]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.7011 (2.6413)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [27]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.7233 (2.6413)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [27]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.6892 (2.6403)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [27]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7805 (2.6415)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [27]  [1020/1251]  eta: 0:02:32  lr: 0.000003  loss: 2.6789 (2.6403)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [27]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.6958 (2.6408)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [27]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6958 (2.6395)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [27]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7023 (2.6405)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [27]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7617 (2.6402)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [27]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7607 (2.6401)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [27]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.7560 (2.6417)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [27]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7448 (2.6404)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [27]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.7462 (2.6412)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [27]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.7335 (2.6399)  time: 0.6599  data: 0.0002  max mem: 36795
Epoch: [27]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.7352 (2.6415)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [27]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.7357 (2.6395)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [27]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.5958 (2.6396)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [27]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.6646 (2.6386)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [27]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.7473 (2.6395)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [27]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.7321 (2.6382)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [27]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.6538 (2.6379)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [27]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.7428 (2.6373)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [27]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.7028 (2.6365)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [27]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.5967 (2.6345)  time: 0.6587  data: 0.0002  max mem: 36795
Epoch: [27]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.5967 (2.6348)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [27]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.7095 (2.6342)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [27]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7207 (2.6334)  time: 0.6586  data: 0.0009  max mem: 36795
Epoch: [27]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.6631 (2.6334)  time: 0.6572  data: 0.0008  max mem: 36795
Epoch: [27] Total time: 0:13:47 (0.6619 s / it)
Averaged stats: lr: 0.000003  loss: 2.6631 (2.6257)
Test:  [ 0/25]  eta: 0:02:13  loss: 0.5890 (0.5890)  acc1: 91.2000 (91.2000)  acc5: 99.2000 (99.2000)  time: 5.3394  data: 4.9677  max mem: 36795
Test:  [10/25]  eta: 0:00:14  loss: 0.7339 (0.7245)  acc1: 87.6000 (87.4909)  acc5: 98.0000 (98.0364)  time: 0.9685  data: 0.5705  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8460 (0.8490)  acc1: 82.4000 (83.9048)  acc5: 97.2000 (97.0667)  time: 0.4590  data: 0.0654  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9379 (0.8582)  acc1: 80.0000 (83.5200)  acc5: 96.8000 (97.0240)  time: 0.4028  data: 0.0169  max mem: 36795
Test: Total time: 0:00:16 (0.6529 s / it)
* Acc@1 84.170 Acc@5 97.042 loss 0.846
Accuracy of the network on the 50000 test images: 84.2%
Max accuracy: 84.27%
Epoch: [28]  [   0/1251]  eta: 1:41:48  lr: 0.000003  loss: 2.2052 (2.2052)  time: 4.8832  data: 3.6550  max mem: 36795
Epoch: [28]  [  10/1251]  eta: 0:21:44  lr: 0.000003  loss: 2.8052 (2.6223)  time: 1.0510  data: 0.3325  max mem: 36795
Epoch: [28]  [  20/1251]  eta: 0:17:42  lr: 0.000003  loss: 2.6866 (2.6186)  time: 0.6623  data: 0.0003  max mem: 36795
Epoch: [28]  [  30/1251]  eta: 0:16:13  lr: 0.000003  loss: 2.5881 (2.5959)  time: 0.6573  data: 0.0003  max mem: 36795
Epoch: [28]  [  40/1251]  eta: 0:15:23  lr: 0.000003  loss: 2.4857 (2.5718)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [28]  [  50/1251]  eta: 0:14:51  lr: 0.000003  loss: 2.7228 (2.5825)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [28]  [  60/1251]  eta: 0:14:27  lr: 0.000003  loss: 2.7781 (2.6162)  time: 0.6568  data: 0.0002  max mem: 36795
Epoch: [28]  [  70/1251]  eta: 0:14:08  lr: 0.000003  loss: 2.8877 (2.6383)  time: 0.6568  data: 0.0002  max mem: 36795
Epoch: [28]  [  80/1251]  eta: 0:13:52  lr: 0.000003  loss: 2.6957 (2.6148)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [28]  [  90/1251]  eta: 0:13:38  lr: 0.000003  loss: 2.5504 (2.6165)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [28]  [ 100/1251]  eta: 0:13:25  lr: 0.000003  loss: 2.6049 (2.5962)  time: 0.6574  data: 0.0002  max mem: 36795
Epoch: [28]  [ 110/1251]  eta: 0:13:14  lr: 0.000003  loss: 2.7617 (2.6163)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [28]  [ 120/1251]  eta: 0:13:04  lr: 0.000003  loss: 2.7441 (2.6092)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [28]  [ 130/1251]  eta: 0:12:54  lr: 0.000003  loss: 2.5896 (2.6102)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [28]  [ 140/1251]  eta: 0:12:44  lr: 0.000003  loss: 2.7442 (2.6221)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [28]  [ 150/1251]  eta: 0:12:35  lr: 0.000003  loss: 2.7475 (2.6174)  time: 0.6588  data: 0.0002  max mem: 36795
Epoch: [28]  [ 160/1251]  eta: 0:12:27  lr: 0.000003  loss: 2.6218 (2.6199)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [28]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.6906 (2.6164)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [28]  [ 180/1251]  eta: 0:12:10  lr: 0.000003  loss: 2.5581 (2.6076)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [28]  [ 190/1251]  eta: 0:12:02  lr: 0.000003  loss: 2.7429 (2.6119)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [28]  [ 200/1251]  eta: 0:11:54  lr: 0.000003  loss: 2.5715 (2.6017)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [28]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.6469 (2.6026)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [28]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.7613 (2.6035)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [28]  [ 230/1251]  eta: 0:11:30  lr: 0.000003  loss: 2.6029 (2.5952)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [28]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.5706 (2.6001)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [28]  [ 250/1251]  eta: 0:11:15  lr: 0.000003  loss: 2.5706 (2.5930)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [28]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.4956 (2.5887)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [28]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.3635 (2.5769)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [28]  [ 280/1251]  eta: 0:10:53  lr: 0.000003  loss: 2.4200 (2.5810)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [28]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.7395 (2.5836)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [28]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.7617 (2.5893)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [28]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.7617 (2.5884)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [28]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.7646 (2.5917)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [28]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.7646 (2.5892)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [28]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.4184 (2.5849)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [28]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.6592 (2.5892)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [28]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.8073 (2.5957)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [28]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.8704 (2.5991)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [28]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.7402 (2.6021)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [28]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.7295 (2.6020)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [28]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.7543 (2.6046)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [28]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.7543 (2.6040)  time: 0.6590  data: 0.0002  max mem: 36795
Epoch: [28]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.7816 (2.6078)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [28]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.6906 (2.6026)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [28]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.2973 (2.5973)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [28]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.4399 (2.5964)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [28]  [ 460/1251]  eta: 0:08:47  lr: 0.000003  loss: 2.7437 (2.5971)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [28]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.7890 (2.5986)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [28]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.8073 (2.6038)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [28]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.7981 (2.6048)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [28]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.7798 (2.6080)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [28]  [ 510/1251]  eta: 0:08:13  lr: 0.000003  loss: 2.8247 (2.6120)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [28]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.8247 (2.6108)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [28]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.7046 (2.6140)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [28]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.7811 (2.6152)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [28]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.7576 (2.6109)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [28]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.7495 (2.6120)  time: 0.6581  data: 0.0002  max mem: 36795
Epoch: [28]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.6562 (2.6098)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [28]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.5880 (2.6098)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [28]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.4393 (2.6072)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [28]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.4324 (2.6049)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [28]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.4499 (2.6041)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [28]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.6091 (2.6043)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [28]  [ 630/1251]  eta: 0:06:52  lr: 0.000003  loss: 2.6575 (2.6042)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [28]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.6764 (2.6051)  time: 0.6564  data: 0.0003  max mem: 36795
Epoch: [28]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.6764 (2.6026)  time: 0.6567  data: 0.0003  max mem: 36795
Epoch: [28]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.6278 (2.6045)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [28]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.6712 (2.6053)  time: 0.6575  data: 0.0002  max mem: 36795
Epoch: [28]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.7499 (2.6075)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [28]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.6986 (2.6053)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [28]  [ 700/1251]  eta: 0:06:05  lr: 0.000003  loss: 2.6717 (2.6071)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [28]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.7715 (2.6077)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [28]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.6883 (2.6075)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [28]  [ 730/1251]  eta: 0:05:45  lr: 0.000003  loss: 2.7698 (2.6085)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [28]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.7698 (2.6075)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [28]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.6210 (2.6079)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [28]  [ 760/1251]  eta: 0:05:25  lr: 0.000003  loss: 2.7270 (2.6095)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [28]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.7270 (2.6097)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [28]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.8071 (2.6094)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [28]  [ 790/1251]  eta: 0:05:05  lr: 0.000003  loss: 2.8071 (2.6106)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [28]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6690 (2.6103)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [28]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.3230 (2.6059)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [28]  [ 820/1251]  eta: 0:04:45  lr: 0.000003  loss: 2.5860 (2.6070)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [28]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.7499 (2.6066)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [28]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.6422 (2.6071)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [28]  [ 850/1251]  eta: 0:04:25  lr: 0.000003  loss: 2.6422 (2.6066)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [28]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.6970 (2.6059)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [28]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.6856 (2.6056)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [28]  [ 880/1251]  eta: 0:04:05  lr: 0.000003  loss: 2.7873 (2.6082)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [28]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7873 (2.6089)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [28]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.8012 (2.6118)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [28]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.8054 (2.6129)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [28]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.8284 (2.6124)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [28]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.5436 (2.6110)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [28]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.5436 (2.6112)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [28]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.5980 (2.6096)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [28]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.6050 (2.6087)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [28]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.4608 (2.6072)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [28]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.4608 (2.6064)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [28]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.6007 (2.6068)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [28]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.6960 (2.6069)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [28]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.7620 (2.6081)  time: 0.6617  data: 0.0003  max mem: 36795
Epoch: [28]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.6678 (2.6073)  time: 0.6615  data: 0.0003  max mem: 36795
Epoch: [28]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.5510 (2.6067)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [28]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.6208 (2.6068)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [28]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7515 (2.6076)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [28]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.7921 (2.6085)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [28]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7829 (2.6088)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [28]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.7089 (2.6087)  time: 0.6584  data: 0.0002  max mem: 36795
Epoch: [28]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.6162 (2.6089)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [28]  [1100/1251]  eta: 0:01:39  lr: 0.000003  loss: 2.6112 (2.6081)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [28]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.7811 (2.6103)  time: 0.6586  data: 0.0002  max mem: 36795
Epoch: [28]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.8861 (2.6110)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [28]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.8861 (2.6133)  time: 0.6598  data: 0.0003  max mem: 36795
Epoch: [28]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.8201 (2.6123)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [28]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.5083 (2.6112)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [28]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.5555 (2.6103)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [28]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.6259 (2.6102)  time: 0.6598  data: 0.0003  max mem: 36795
Epoch: [28]  [1180/1251]  eta: 0:00:46  lr: 0.000003  loss: 2.5801 (2.6082)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [28]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.6197 (2.6087)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [28]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.7009 (2.6085)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [28]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.5188 (2.6079)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [28]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.7506 (2.6096)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [28]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.7506 (2.6100)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [28]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.6361 (2.6108)  time: 0.6575  data: 0.0009  max mem: 36795
Epoch: [28]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.8151 (2.6115)  time: 0.6564  data: 0.0008  max mem: 36795
Epoch: [28] Total time: 0:13:48 (0.6621 s / it)
Averaged stats: lr: 0.000003  loss: 2.8151 (2.6253)
Test:  [ 0/25]  eta: 0:02:24  loss: 0.6006 (0.6006)  acc1: 91.2000 (91.2000)  acc5: 99.2000 (99.2000)  time: 5.7617  data: 5.3904  max mem: 36795
Test:  [10/25]  eta: 0:00:14  loss: 0.7474 (0.7363)  acc1: 87.6000 (87.3455)  acc5: 98.0000 (98.1091)  time: 0.9713  data: 0.5789  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8589 (0.8628)  acc1: 82.0000 (83.6762)  acc5: 97.2000 (97.0857)  time: 0.4430  data: 0.0570  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9548 (0.8718)  acc1: 80.4000 (83.3280)  acc5: 97.2000 (97.0400)  time: 0.3937  data: 0.0082  max mem: 36795
Test: Total time: 0:00:16 (0.6531 s / it)
* Acc@1 84.116 Acc@5 97.022 loss 0.860
Accuracy of the network on the 50000 test images: 84.1%
Max accuracy: 84.27%
Epoch: [29]  [   0/1251]  eta: 1:39:35  lr: 0.000003  loss: 2.3669 (2.3669)  time: 4.7767  data: 4.1410  max mem: 36795
Epoch: [29]  [  10/1251]  eta: 0:21:46  lr: 0.000003  loss: 2.8999 (2.6643)  time: 1.0530  data: 0.3767  max mem: 36795
Epoch: [29]  [  20/1251]  eta: 0:17:44  lr: 0.000003  loss: 2.7969 (2.5715)  time: 0.6693  data: 0.0003  max mem: 36795
Epoch: [29]  [  30/1251]  eta: 0:16:14  lr: 0.000003  loss: 2.7652 (2.5911)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [29]  [  40/1251]  eta: 0:15:24  lr: 0.000003  loss: 2.7073 (2.6035)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [29]  [  50/1251]  eta: 0:14:52  lr: 0.000003  loss: 2.7503 (2.6311)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [29]  [  60/1251]  eta: 0:14:28  lr: 0.000003  loss: 2.6539 (2.6230)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [29]  [  70/1251]  eta: 0:14:09  lr: 0.000003  loss: 2.5936 (2.6041)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [29]  [  80/1251]  eta: 0:13:52  lr: 0.000003  loss: 2.6133 (2.6154)  time: 0.6572  data: 0.0002  max mem: 36795
Epoch: [29]  [  90/1251]  eta: 0:13:38  lr: 0.000003  loss: 2.6737 (2.6313)  time: 0.6576  data: 0.0002  max mem: 36795
Epoch: [29]  [ 100/1251]  eta: 0:13:26  lr: 0.000003  loss: 2.8903 (2.6496)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [29]  [ 110/1251]  eta: 0:13:15  lr: 0.000003  loss: 2.8331 (2.6456)  time: 0.6594  data: 0.0002  max mem: 36795
Epoch: [29]  [ 120/1251]  eta: 0:13:04  lr: 0.000003  loss: 2.7942 (2.6442)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [29]  [ 130/1251]  eta: 0:12:54  lr: 0.000003  loss: 2.7268 (2.6356)  time: 0.6587  data: 0.0004  max mem: 36795
Epoch: [29]  [ 140/1251]  eta: 0:12:45  lr: 0.000003  loss: 2.6663 (2.6344)  time: 0.6582  data: 0.0004  max mem: 36795
Epoch: [29]  [ 150/1251]  eta: 0:12:36  lr: 0.000003  loss: 2.6053 (2.6228)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [29]  [ 160/1251]  eta: 0:12:27  lr: 0.000003  loss: 2.5541 (2.6291)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [29]  [ 170/1251]  eta: 0:12:18  lr: 0.000003  loss: 2.6818 (2.6361)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [29]  [ 180/1251]  eta: 0:12:10  lr: 0.000003  loss: 2.8615 (2.6510)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [29]  [ 190/1251]  eta: 0:12:02  lr: 0.000003  loss: 2.8423 (2.6554)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [29]  [ 200/1251]  eta: 0:11:54  lr: 0.000003  loss: 2.7065 (2.6524)  time: 0.6588  data: 0.0003  max mem: 36795
Epoch: [29]  [ 210/1251]  eta: 0:11:46  lr: 0.000003  loss: 2.6271 (2.6471)  time: 0.6580  data: 0.0002  max mem: 36795
Epoch: [29]  [ 220/1251]  eta: 0:11:38  lr: 0.000003  loss: 2.5013 (2.6388)  time: 0.6583  data: 0.0002  max mem: 36795
Epoch: [29]  [ 230/1251]  eta: 0:11:31  lr: 0.000003  loss: 2.5013 (2.6309)  time: 0.6592  data: 0.0002  max mem: 36795
Epoch: [29]  [ 240/1251]  eta: 0:11:23  lr: 0.000003  loss: 2.5235 (2.6243)  time: 0.6589  data: 0.0002  max mem: 36795
Epoch: [29]  [ 250/1251]  eta: 0:11:16  lr: 0.000003  loss: 2.6549 (2.6258)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [29]  [ 260/1251]  eta: 0:11:08  lr: 0.000003  loss: 2.7742 (2.6298)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [29]  [ 270/1251]  eta: 0:11:01  lr: 0.000003  loss: 2.7863 (2.6286)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [29]  [ 280/1251]  eta: 0:10:54  lr: 0.000003  loss: 2.7592 (2.6369)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [29]  [ 290/1251]  eta: 0:10:46  lr: 0.000003  loss: 2.7241 (2.6285)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [29]  [ 300/1251]  eta: 0:10:39  lr: 0.000003  loss: 2.6464 (2.6324)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [29]  [ 310/1251]  eta: 0:10:32  lr: 0.000003  loss: 2.6464 (2.6250)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [ 320/1251]  eta: 0:10:25  lr: 0.000003  loss: 2.4668 (2.6213)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [29]  [ 330/1251]  eta: 0:10:18  lr: 0.000003  loss: 2.5817 (2.6235)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [29]  [ 340/1251]  eta: 0:10:11  lr: 0.000003  loss: 2.6724 (2.6237)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [29]  [ 350/1251]  eta: 0:10:04  lr: 0.000003  loss: 2.4876 (2.6194)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [29]  [ 360/1251]  eta: 0:09:57  lr: 0.000003  loss: 2.7242 (2.6228)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [29]  [ 370/1251]  eta: 0:09:50  lr: 0.000003  loss: 2.7775 (2.6275)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [ 380/1251]  eta: 0:09:43  lr: 0.000003  loss: 2.7235 (2.6265)  time: 0.6579  data: 0.0002  max mem: 36795
Epoch: [29]  [ 390/1251]  eta: 0:09:36  lr: 0.000003  loss: 2.6782 (2.6257)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [29]  [ 400/1251]  eta: 0:09:29  lr: 0.000003  loss: 2.4942 (2.6229)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [29]  [ 410/1251]  eta: 0:09:22  lr: 0.000003  loss: 2.5627 (2.6244)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [29]  [ 420/1251]  eta: 0:09:15  lr: 0.000003  loss: 2.7321 (2.6262)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [29]  [ 430/1251]  eta: 0:09:08  lr: 0.000003  loss: 2.7321 (2.6271)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [29]  [ 440/1251]  eta: 0:09:01  lr: 0.000003  loss: 2.7775 (2.6296)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [29]  [ 450/1251]  eta: 0:08:54  lr: 0.000003  loss: 2.7775 (2.6320)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [29]  [ 460/1251]  eta: 0:08:48  lr: 0.000003  loss: 2.7506 (2.6339)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [29]  [ 470/1251]  eta: 0:08:41  lr: 0.000003  loss: 2.6862 (2.6303)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [29]  [ 480/1251]  eta: 0:08:34  lr: 0.000003  loss: 2.6732 (2.6293)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [29]  [ 490/1251]  eta: 0:08:27  lr: 0.000003  loss: 2.6870 (2.6299)  time: 0.6576  data: 0.0003  max mem: 36795
Epoch: [29]  [ 500/1251]  eta: 0:08:20  lr: 0.000003  loss: 2.7776 (2.6323)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [29]  [ 510/1251]  eta: 0:08:14  lr: 0.000003  loss: 2.7432 (2.6301)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [29]  [ 520/1251]  eta: 0:08:07  lr: 0.000003  loss: 2.6322 (2.6316)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [29]  [ 530/1251]  eta: 0:08:00  lr: 0.000003  loss: 2.7410 (2.6328)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [29]  [ 540/1251]  eta: 0:07:53  lr: 0.000003  loss: 2.7410 (2.6351)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [ 550/1251]  eta: 0:07:46  lr: 0.000003  loss: 2.7567 (2.6357)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [29]  [ 560/1251]  eta: 0:07:40  lr: 0.000003  loss: 2.7527 (2.6354)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [29]  [ 570/1251]  eta: 0:07:33  lr: 0.000003  loss: 2.6871 (2.6346)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [29]  [ 580/1251]  eta: 0:07:26  lr: 0.000003  loss: 2.7308 (2.6359)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [29]  [ 590/1251]  eta: 0:07:19  lr: 0.000003  loss: 2.7763 (2.6358)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [29]  [ 600/1251]  eta: 0:07:13  lr: 0.000003  loss: 2.8097 (2.6361)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [29]  [ 610/1251]  eta: 0:07:06  lr: 0.000003  loss: 2.6723 (2.6358)  time: 0.6597  data: 0.0003  max mem: 36795
Epoch: [29]  [ 620/1251]  eta: 0:06:59  lr: 0.000003  loss: 2.7094 (2.6372)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [29]  [ 630/1251]  eta: 0:06:53  lr: 0.000003  loss: 2.6729 (2.6357)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [ 640/1251]  eta: 0:06:46  lr: 0.000003  loss: 2.6170 (2.6336)  time: 0.6585  data: 0.0002  max mem: 36795
Epoch: [29]  [ 650/1251]  eta: 0:06:39  lr: 0.000003  loss: 2.6329 (2.6332)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [29]  [ 660/1251]  eta: 0:06:32  lr: 0.000003  loss: 2.8735 (2.6362)  time: 0.6578  data: 0.0002  max mem: 36795
Epoch: [29]  [ 670/1251]  eta: 0:06:26  lr: 0.000003  loss: 2.8452 (2.6350)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [29]  [ 680/1251]  eta: 0:06:19  lr: 0.000003  loss: 2.4370 (2.6335)  time: 0.6593  data: 0.0003  max mem: 36795
Epoch: [29]  [ 690/1251]  eta: 0:06:12  lr: 0.000003  loss: 2.4638 (2.6322)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [29]  [ 700/1251]  eta: 0:06:06  lr: 0.000003  loss: 2.6220 (2.6303)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [29]  [ 710/1251]  eta: 0:05:59  lr: 0.000003  loss: 2.5935 (2.6312)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [29]  [ 720/1251]  eta: 0:05:52  lr: 0.000003  loss: 2.6893 (2.6321)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [29]  [ 730/1251]  eta: 0:05:46  lr: 0.000003  loss: 2.6393 (2.6328)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [29]  [ 740/1251]  eta: 0:05:39  lr: 0.000003  loss: 2.5671 (2.6326)  time: 0.6608  data: 0.0003  max mem: 36795
Epoch: [29]  [ 750/1251]  eta: 0:05:32  lr: 0.000003  loss: 2.6855 (2.6324)  time: 0.6611  data: 0.0003  max mem: 36795
Epoch: [29]  [ 760/1251]  eta: 0:05:26  lr: 0.000003  loss: 2.7223 (2.6341)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [ 770/1251]  eta: 0:05:19  lr: 0.000003  loss: 2.8751 (2.6350)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [29]  [ 780/1251]  eta: 0:05:12  lr: 0.000003  loss: 2.7389 (2.6350)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [ 790/1251]  eta: 0:05:06  lr: 0.000003  loss: 2.6646 (2.6342)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [29]  [ 800/1251]  eta: 0:04:59  lr: 0.000003  loss: 2.6563 (2.6335)  time: 0.6589  data: 0.0003  max mem: 36795
Epoch: [29]  [ 810/1251]  eta: 0:04:52  lr: 0.000003  loss: 2.6105 (2.6338)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [29]  [ 820/1251]  eta: 0:04:46  lr: 0.000003  loss: 2.6083 (2.6323)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [29]  [ 830/1251]  eta: 0:04:39  lr: 0.000003  loss: 2.7009 (2.6338)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [ 840/1251]  eta: 0:04:32  lr: 0.000003  loss: 2.7009 (2.6337)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [29]  [ 850/1251]  eta: 0:04:26  lr: 0.000003  loss: 2.7580 (2.6355)  time: 0.6574  data: 0.0003  max mem: 36795
Epoch: [29]  [ 860/1251]  eta: 0:04:19  lr: 0.000003  loss: 2.8037 (2.6357)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [29]  [ 870/1251]  eta: 0:04:12  lr: 0.000003  loss: 2.6106 (2.6345)  time: 0.6579  data: 0.0003  max mem: 36795
Epoch: [29]  [ 880/1251]  eta: 0:04:06  lr: 0.000003  loss: 2.5721 (2.6336)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [ 890/1251]  eta: 0:03:59  lr: 0.000003  loss: 2.7959 (2.6352)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [ 900/1251]  eta: 0:03:52  lr: 0.000003  loss: 2.7959 (2.6346)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [29]  [ 910/1251]  eta: 0:03:46  lr: 0.000003  loss: 2.6897 (2.6355)  time: 0.6595  data: 0.0003  max mem: 36795
Epoch: [29]  [ 920/1251]  eta: 0:03:39  lr: 0.000003  loss: 2.7356 (2.6357)  time: 0.6594  data: 0.0003  max mem: 36795
Epoch: [29]  [ 930/1251]  eta: 0:03:32  lr: 0.000003  loss: 2.8172 (2.6375)  time: 0.6592  data: 0.0003  max mem: 36795
Epoch: [29]  [ 940/1251]  eta: 0:03:26  lr: 0.000003  loss: 2.8172 (2.6350)  time: 0.6596  data: 0.0003  max mem: 36795
Epoch: [29]  [ 950/1251]  eta: 0:03:19  lr: 0.000003  loss: 2.5180 (2.6344)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [29]  [ 960/1251]  eta: 0:03:12  lr: 0.000003  loss: 2.8163 (2.6351)  time: 0.6577  data: 0.0002  max mem: 36795
Epoch: [29]  [ 970/1251]  eta: 0:03:06  lr: 0.000003  loss: 2.8163 (2.6359)  time: 0.6582  data: 0.0002  max mem: 36795
Epoch: [29]  [ 980/1251]  eta: 0:02:59  lr: 0.000003  loss: 2.6837 (2.6366)  time: 0.6585  data: 0.0003  max mem: 36795
Epoch: [29]  [ 990/1251]  eta: 0:02:52  lr: 0.000003  loss: 2.6837 (2.6369)  time: 0.6590  data: 0.0003  max mem: 36795
Epoch: [29]  [1000/1251]  eta: 0:02:46  lr: 0.000003  loss: 2.6633 (2.6369)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [29]  [1010/1251]  eta: 0:02:39  lr: 0.000003  loss: 2.6080 (2.6345)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [29]  [1020/1251]  eta: 0:02:33  lr: 0.000003  loss: 2.5034 (2.6347)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [1030/1251]  eta: 0:02:26  lr: 0.000003  loss: 2.8103 (2.6366)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [29]  [1040/1251]  eta: 0:02:19  lr: 0.000003  loss: 2.8390 (2.6387)  time: 0.6580  data: 0.0003  max mem: 36795
Epoch: [29]  [1050/1251]  eta: 0:02:13  lr: 0.000003  loss: 2.7959 (2.6389)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [29]  [1060/1251]  eta: 0:02:06  lr: 0.000003  loss: 2.6787 (2.6393)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [29]  [1070/1251]  eta: 0:01:59  lr: 0.000003  loss: 2.7000 (2.6397)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [1080/1251]  eta: 0:01:53  lr: 0.000003  loss: 2.7000 (2.6379)  time: 0.6591  data: 0.0003  max mem: 36795
Epoch: [29]  [1090/1251]  eta: 0:01:46  lr: 0.000003  loss: 2.7345 (2.6393)  time: 0.6587  data: 0.0003  max mem: 36795
Epoch: [29]  [1100/1251]  eta: 0:01:40  lr: 0.000003  loss: 2.7034 (2.6363)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [29]  [1110/1251]  eta: 0:01:33  lr: 0.000003  loss: 2.6098 (2.6373)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [29]  [1120/1251]  eta: 0:01:26  lr: 0.000003  loss: 2.6220 (2.6355)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [29]  [1130/1251]  eta: 0:01:20  lr: 0.000003  loss: 2.4951 (2.6356)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [29]  [1140/1251]  eta: 0:01:13  lr: 0.000003  loss: 2.6693 (2.6345)  time: 0.6575  data: 0.0003  max mem: 36795
Epoch: [29]  [1150/1251]  eta: 0:01:06  lr: 0.000003  loss: 2.4954 (2.6328)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [29]  [1160/1251]  eta: 0:01:00  lr: 0.000003  loss: 2.5924 (2.6325)  time: 0.6582  data: 0.0003  max mem: 36795
Epoch: [29]  [1170/1251]  eta: 0:00:53  lr: 0.000003  loss: 2.6736 (2.6321)  time: 0.6584  data: 0.0003  max mem: 36795
Epoch: [29]  [1180/1251]  eta: 0:00:47  lr: 0.000003  loss: 2.6603 (2.6312)  time: 0.6586  data: 0.0003  max mem: 36795
Epoch: [29]  [1190/1251]  eta: 0:00:40  lr: 0.000003  loss: 2.4598 (2.6289)  time: 0.6583  data: 0.0003  max mem: 36795
Epoch: [29]  [1200/1251]  eta: 0:00:33  lr: 0.000003  loss: 2.6624 (2.6291)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [1210/1251]  eta: 0:00:27  lr: 0.000003  loss: 2.7987 (2.6291)  time: 0.6577  data: 0.0003  max mem: 36795
Epoch: [29]  [1220/1251]  eta: 0:00:20  lr: 0.000003  loss: 2.6424 (2.6288)  time: 0.6578  data: 0.0003  max mem: 36795
Epoch: [29]  [1230/1251]  eta: 0:00:13  lr: 0.000003  loss: 2.6202 (2.6277)  time: 0.6581  data: 0.0003  max mem: 36795
Epoch: [29]  [1240/1251]  eta: 0:00:07  lr: 0.000003  loss: 2.7109 (2.6288)  time: 0.6579  data: 0.0009  max mem: 36795
Epoch: [29]  [1250/1251]  eta: 0:00:00  lr: 0.000003  loss: 2.7276 (2.6289)  time: 0.6566  data: 0.0008  max mem: 36795
Epoch: [29] Total time: 0:13:48 (0.6623 s / it)
Averaged stats: lr: 0.000003  loss: 2.7276 (2.6196)
Test:  [ 0/25]  eta: 0:02:53  loss: 0.5824 (0.5824)  acc1: 90.8000 (90.8000)  acc5: 99.2000 (99.2000)  time: 6.9568  data: 6.5847  max mem: 36795
Test:  [10/25]  eta: 0:00:15  loss: 0.7266 (0.7150)  acc1: 87.2000 (87.1636)  acc5: 98.0000 (98.1455)  time: 1.0287  data: 0.6378  max mem: 36795
Test:  [20/25]  eta: 0:00:03  loss: 0.8393 (0.8409)  acc1: 82.4000 (83.6191)  acc5: 97.2000 (97.1619)  time: 0.4076  data: 0.0216  max mem: 36795
Test:  [24/25]  eta: 0:00:00  loss: 0.9348 (0.8502)  acc1: 80.4000 (83.3120)  acc5: 97.2000 (97.1040)  time: 0.3794  data: 0.0001  max mem: 36795
Test: Total time: 0:00:16 (0.6729 s / it)
* Acc@1 84.134 Acc@5 97.040 loss 0.837
Accuracy of the network on the 50000 test images: 84.1%
Max accuracy: 84.27%