Epoch 0 | Batch 199/57412 | Loss: 0.340 | time 32.71456170082092
Epoch 0 | Batch 199/28706 | Loss: 0.359 | time 39.08863949775696
Epoch 0 | Batch 399/28706 | Loss: 3.797 | time 75.26647639274597
Epoch 0 | Batch 599/28706 | Loss: 0.492 | time 111.1044225692749
Epoch 0 | Batch 799/28706 | Loss: 0.289 | time 146.91438364982605
Epoch 0 | Batch 999/28706 | Loss: 0.248 | time 182.43220043182373
Epoch 0 | Batch 1199/28706 | Loss: 0.598 | time 221.54884433746338
Epoch 0 | Batch 1399/28706 | Loss: 0.590 | time 258.38649916648865
Epoch 0 | Batch 1599/28706 | Loss: 0.307 | time 296.0838313102722
Epoch 0 | Batch 1799/28706 | Loss: 0.400 | time 332.9212999343872
Epoch 0 | Batch 1999/28706 | Loss: 0.637 | time 369.25464963912964
Epoch 0 | Batch 2199/28706 | Loss: 0.244 | time 406.6462593078613
Epoch 0 | Batch 2399/28706 | Loss: 0.375 | time 443.7790322303772
Epoch 0 | Batch 2599/28706 | Loss: 0.395 | time 480.62712597846985
Epoch 0 | Batch 2799/28706 | Loss: 0.398 | time 517.8977036476135
Epoch 0 | Batch 2999/28706 | Loss: 0.516 | time 555.124433517456
Epoch 0 | Batch 3199/28706 | Loss: 0.311 | time 591.6026775836945
Epoch 0 | Batch 3399/28706 | Loss: 0.150 | time 627.4043962955475
Epoch 0 | Batch 3599/28706 | Loss: 0.430 | time 663.7694869041443
Epoch 0 | Batch 3799/28706 | Loss: 0.309 | time 700.6918277740479
Epoch 0 | Batch 3999/28706 | Loss: 0.543 | time 738.9248361587524
Epoch 0 | Batch 4199/28706 | Loss: 0.363 | time 777.5039525032043
Epoch 0 | Batch 4399/28706 | Loss: 0.570 | time 814.735354423523
Epoch 0 | Batch 4599/28706 | Loss: 0.531 | time 854.1782274246216
Epoch 0 | Batch 4799/28706 | Loss: 0.660 | time 891.100930929184
Epoch 0 | Batch 4999/28706 | Loss: 0.328 | time 929.1095576286316
Epoch 0 | Batch 5199/28706 | Loss: 0.299 | time 966.9500572681427
Epoch 0 | Batch 5399/28706 | Loss: 0.381 | time 1003.7947492599487
Epoch 0 | Batch 5599/28706 | Loss: 0.391 | time 1039.4997868537903
Epoch 0 | Batch 5799/28706 | Loss: 0.373 | time 1076.1008858680725
Epoch 0 | Batch 5999/28706 | Loss: 0.391 | time 1114.6256709098816
Epoch 0 | Batch 6199/28706 | Loss: 0.660 | time 1150.8838436603546
Epoch 0 | Batch 6399/28706 | Loss: 0.898 | time 1188.411212682724
Epoch 0 | Batch 6599/28706 | Loss: 0.523 | time 1226.014351606369
Epoch 0 | Batch 6799/28706 | Loss: 0.432 | time 1264.03835272789
Epoch 0 | Batch 6999/28706 | Loss: 0.469 | time 1301.8888947963715
Epoch 0 | Batch 7199/28706 | Loss: 0.629 | time 1340.9920086860657
Epoch 0 | Batch 7399/28706 | Loss: 0.430 | time 1379.6971192359924
Epoch 0 | Batch 7599/28706 | Loss: 0.320 | time 1416.072360754013
Epoch 0 | Batch 7799/28706 | Loss: 0.477 | time 1455.7265379428864
Epoch 0 | Batch 7999/28706 | Loss: 0.520 | time 1491.0530524253845
Epoch 0 | Batch 8199/28706 | Loss: 0.482 | time 1527.7448432445526
Epoch 0 | Batch 8399/28706 | Loss: 0.809 | time 1565.0284416675568
Epoch 0 | Batch 8599/28706 | Loss: 0.289 | time 1600.499516248703
Epoch 0 | Batch 8799/28706 | Loss: 0.252 | time 1638.2242753505707
Epoch 0 | Batch 8999/28706 | Loss: 0.281 | time 1675.8037374019623
Epoch 0 | Batch 9199/28706 | Loss: 1.023 | time 1712.3284595012665
Epoch 0 | Batch 9399/28706 | Loss: 0.340 | time 1750.1916275024414
Epoch 0 | Batch 9599/28706 | Loss: 0.496 | time 1787.4129288196564
Epoch 0 | Batch 9799/28706 | Loss: 0.523 | time 1825.63254737854
Epoch 0 | Batch 9999/28706 | Loss: 0.354 | time 1862.325737953186
Epoch 0 | Batch 10199/28706 | Loss: 0.260 | time 1898.2261176109314
Epoch 0 | Batch 10399/28706 | Loss: 0.202 | time 1935.4938521385193
Epoch 0 | Batch 10599/28706 | Loss: 0.574 | time 1972.5452358722687
Epoch 0 | Batch 10799/28706 | Loss: 0.172 | time 2010.6330609321594
Epoch 0 | Batch 10999/28706 | Loss: 0.168 | time 2046.7697439193726
Epoch 0 | Batch 11199/28706 | Loss: 0.500 | time 2084.594406604767
Epoch 0 | Batch 11399/28706 | Loss: 0.684 | time 2122.2939898967743
Epoch 0 | Batch 11599/28706 | Loss: 0.730 | time 2158.8863859176636
Epoch 0 | Batch 11799/28706 | Loss: 0.738 | time 2196.31111741066
Epoch 0 | Batch 11999/28706 | Loss: 0.344 | time 2234.1104485988617
Epoch 0 | Batch 12199/28706 | Loss: 1.242 | time 2270.945148229599
Epoch 0 | Batch 12399/28706 | Loss: 0.342 | time 2307.503076314926
Epoch 0 | Batch 12599/28706 | Loss: 0.445 | time 2345.6957376003265
Epoch 0 | Batch 12799/28706 | Loss: 0.187 | time 2382.231533050537
Epoch 0 | Batch 12999/28706 | Loss: 0.637 | time 2419.988638162613
Epoch 0 | Batch 13199/28706 | Loss: 0.438 | time 2456.317165851593
Epoch 0 | Batch 13399/28706 | Loss: 0.404 | time 2494.9688465595245
Epoch 0 | Batch 199/57412 | Loss: 0.578 | time 32.953240156173706
Epoch 0 | Batch 399/57412 | Loss: 0.254 | time 64.61496448516846
Epoch 0 | Batch 599/57412 | Loss: 0.227 | time 96.76562786102295
Epoch 0 | Batch 799/57412 | Loss: 0.441 | time 128.63407397270203
Epoch 0 | Batch 999/57412 | Loss: 0.375 | time 159.59512901306152
Epoch 0 | Batch 1199/57412 | Loss: 0.438 | time 190.16347742080688
Epoch 0 | Batch 1399/57412 | Loss: 0.393 | time 221.32009363174438
Epoch 0 | Batch 1599/57412 | Loss: 0.350 | time 254.11221170425415
Epoch 0 | Batch 1799/57412 | Loss: 0.250 | time 286.9885151386261
Epoch 0 | Batch 1999/57412 | Loss: 0.527 | time 317.5497350692749
Epoch 0 | Batch 199/57412 | Loss: 0.453 | time 34.23661494255066
Epoch 0 | Batch 399/57412 | Loss: 0.312 | time 66.70683240890503
Epoch 0 | Batch 599/57412 | Loss: 0.477 | time 99.00032591819763
Epoch 0 | Batch 799/57412 | Loss: 0.461 | time 130.44039750099182
Epoch 0 | Batch 999/57412 | Loss: 0.531 | time 161.45494627952576
Epoch 0 | Batch 1199/57412 | Loss: 0.512 | time 192.828866481781
Epoch 0 | Batch 1399/57412 | Loss: 0.730 | time 226.08853435516357
Epoch 0 | Batch 1599/57412 | Loss: 0.562 | time 259.1435968875885
Epoch 0 | Batch 1799/57412 | Loss: 0.520 | time 290.0742623806
Epoch 0 | Batch 1999/57412 | Loss: 0.371 | time 321.4411849975586
Epoch 0 | Batch 2199/57412 | Loss: 0.279 | time 352.21422934532166
Epoch 0 | Batch 2399/57412 | Loss: 0.781 | time 382.896541595459
Epoch 0 | Batch 2599/57412 | Loss: 0.426 | time 415.8628833293915
Epoch 0 | Batch 2799/57412 | Loss: 0.383 | time 447.83018922805786
Epoch 0 | Batch 2999/57412 | Loss: 0.559 | time 480.2965934276581
Epoch 0 | Batch 3199/57412 | Loss: 0.590 | time 511.87143540382385
Epoch 0 | Batch 3399/57412 | Loss: 0.373 | time 544.3490734100342
Epoch 0 | Batch 3599/57412 | Loss: 0.453 | time 575.9916000366211
Epoch 0 | Batch 3799/57412 | Loss: 0.516 | time 608.1625480651855
Epoch 0 | Batch 3999/57412 | Loss: 0.248 | time 639.6310093402863
Epoch 0 | Batch 4199/57412 | Loss: 0.590 | time 670.3204760551453
Epoch 0 | Batch 4399/57412 | Loss: 0.695 | time 702.5703217983246
Epoch 0 | Batch 4599/57412 | Loss: 0.311 | time 734.4802050590515
Epoch 0 | Batch 4799/57412 | Loss: 0.410 | time 765.2815401554108
Epoch 0 | Batch 4999/57412 | Loss: 0.555 | time 796.2928102016449
Epoch 0 | Batch 5199/57412 | Loss: 0.527 | time 827.8035652637482
Epoch 0 | Batch 5399/57412 | Loss: 0.391 | time 859.3227844238281
Epoch 0 | Batch 5599/57412 | Loss: 0.465 | time 890.4017343521118
Epoch 0 | Batch 5799/57412 | Loss: 0.424 | time 921.8988766670227
Epoch 0 | Batch 5999/57412 | Loss: 0.602 | time 953.4255938529968
Epoch 0 | Batch 6199/57412 | Loss: 0.486 | time 984.8360929489136
Epoch 0 | Batch 6399/57412 | Loss: 0.303 | time 1016.87069439888
Epoch 0 | Batch 6599/57412 | Loss: 0.338 | time 1048.314557313919
Epoch 0 | Batch 6799/57412 | Loss: 0.496 | time 1081.0007355213165
Epoch 0 | Batch 6999/57412 | Loss: 0.504 | time 1112.4392821788788
Epoch 0 | Batch 7199/57412 | Loss: 0.359 | time 1143.2783653736115
Epoch 0 | Batch 7399/57412 | Loss: 0.420 | time 1174.8993663787842
Epoch 0 | Batch 7599/57412 | Loss: 0.695 | time 1206.7199926376343
Epoch 0 | Batch 7799/57412 | Loss: 0.828 | time 1238.007871389389
Epoch 0 | Batch 7999/57412 | Loss: 0.719 | time 1268.7811937332153
Epoch 0 | Batch 8199/57412 | Loss: 0.249 | time 1300.681619644165
Epoch 0 | Batch 8399/57412 | Loss: 0.535 | time 1332.310777425766
Epoch 0 | Batch 8599/57412 | Loss: 0.332 | time 1363.888921737671
Epoch 0 | Batch 8799/57412 | Loss: 0.645 | time 1397.5209639072418
Epoch 0 | Batch 8999/57412 | Loss: 0.559 | time 1429.9549748897552
Epoch 0 | Batch 9199/57412 | Loss: 0.723 | time 1462.3293104171753
Epoch 0 | Batch 9399/57412 | Loss: 0.539 | time 1495.0175819396973
Epoch 0 | Batch 9599/57412 | Loss: 0.402 | time 1526.6703822612762
Epoch 0 | Batch 9799/57412 | Loss: 0.106 | time 1558.1093893051147
Epoch 0 | Batch 9999/57412 | Loss: 0.543 | time 1589.6292788982391
Epoch 0 | Batch 10199/57412 | Loss: 0.248 | time 1620.4739179611206
Epoch 0 | Batch 10399/57412 | Loss: 0.594 | time 1652.0505123138428
Epoch 0 | Batch 10599/57412 | Loss: 0.398 | time 1683.037466287613
Epoch 0 | Batch 10799/57412 | Loss: 0.359 | time 1714.22092628479
Epoch 0 | Batch 10999/57412 | Loss: 0.249 | time 1744.2131133079529
Epoch 0 | Batch 11199/57412 | Loss: 0.320 | time 1775.2549073696136
Epoch 0 | Batch 11399/57412 | Loss: 0.660 | time 1806.1575481891632
Epoch 0 | Batch 11599/57412 | Loss: 0.396 | time 1839.2802505493164
Epoch 0 | Batch 11799/57412 | Loss: 0.387 | time 1870.454419851303
Epoch 0 | Batch 11999/57412 | Loss: 0.496 | time 1902.119549036026
Epoch 0 | Batch 12199/57412 | Loss: 0.547 | time 1933.5310945510864
Epoch 0 | Batch 12399/57412 | Loss: 0.625 | time 1964.6104340553284
Epoch 0 | Batch 12599/57412 | Loss: 0.707 | time 1996.7218990325928
Epoch 0 | Batch 12799/57412 | Loss: 0.235 | time 2027.4865272045135
Epoch 0 | Batch 12999/57412 | Loss: 0.602 | time 2059.080444574356
Epoch 0 | Batch 13199/57412 | Loss: 0.233 | time 2090.2340474128723
Epoch 0 | Batch 13399/57412 | Loss: 0.523 | time 2122.4152915477753
Epoch 0 | Batch 13599/57412 | Loss: 0.330 | time 2153.528305530548
Epoch 0 | Batch 13799/57412 | Loss: 0.445 | time 2185.115081548691
Epoch 0 | Batch 13999/57412 | Loss: 0.281 | time 2215.6703729629517
Epoch 0 | Batch 14199/57412 | Loss: 0.494 | time 2247.674618244171
Epoch 0 | Batch 14399/57412 | Loss: 0.230 | time 2279.393777370453
Epoch 0 | Batch 14599/57412 | Loss: 0.467 | time 2311.5019359588623
Epoch 0 | Batch 14799/57412 | Loss: 0.369 | time 2342.850658416748
Epoch 0 | Batch 14999/57412 | Loss: 0.201 | time 2373.6685378551483
Epoch 0 | Batch 15199/57412 | Loss: 0.211 | time 2404.9438021183014
Epoch 0 | Batch 15399/57412 | Loss: 0.482 | time 2437.8937437534332
Epoch 0 | Batch 15599/57412 | Loss: 0.410 | time 2471.0884351730347
Epoch 0 | Batch 15799/57412 | Loss: 0.418 | time 2503.0883853435516
Epoch 0 | Batch 15999/57412 | Loss: 0.338 | time 2533.6877629756927
Epoch 0 | Batch 16199/57412 | Loss: 0.299 | time 2565.720585346222
Epoch 0 | Batch 16399/57412 | Loss: 0.547 | time 2597.3629076480865
Epoch 0 | Batch 16599/57412 | Loss: 0.420 | time 2629.4829165935516
Epoch 0 | Batch 16799/57412 | Loss: 0.197 | time 2660.7907843589783
Epoch 0 | Batch 16999/57412 | Loss: 0.543 | time 2692.7582058906555
Epoch 0 | Batch 17199/57412 | Loss: 0.416 | time 2723.8510036468506
Epoch 0 | Batch 17399/57412 | Loss: 0.334 | time 2755.2332680225372
Epoch 0 | Batch 17599/57412 | Loss: 0.395 | time 2787.1462638378143
Epoch 0 | Batch 17799/57412 | Loss: 0.096 | time 2818.6986951828003
Epoch 0 | Batch 17999/57412 | Loss: 0.484 | time 2849.2036266326904
Epoch 0 | Batch 18199/57412 | Loss: 0.348 | time 2880.5110466480255
Epoch 0 | Batch 18399/57412 | Loss: 0.132 | time 2914.8890557289124
Epoch 0 | Batch 18599/57412 | Loss: 0.434 | time 2946.9835238456726
Epoch 0 | Batch 18799/57412 | Loss: 0.453 | time 2978.836310148239
Epoch 0 | Batch 18999/57412 | Loss: 0.625 | time 3009.752727508545
Epoch 0 | Batch 19199/57412 | Loss: 0.500 | time 3040.306079149246
Epoch 0 | Batch 19399/57412 | Loss: 0.227 | time 3072.164661884308
Epoch 0 | Batch 19599/57412 | Loss: 0.369 | time 3104.2735483646393
Epoch 0 | Batch 19799/57412 | Loss: 0.104 | time 3136.775638103485
Epoch 0 | Batch 19999/57412 | Loss: 0.566 | time 3167.115320444107
Epoch 0 | Batch 20199/57412 | Loss: 0.287 | time 3197.7458827495575
Epoch 0 | Batch 20399/57412 | Loss: 0.289 | time 3228.906308889389
Epoch 0 | Batch 20599/57412 | Loss: 0.168 | time 3259.2459919452667
Epoch 0 | Batch 20799/57412 | Loss: 0.359 | time 3290.4522647857666
Epoch 0 | Batch 20999/57412 | Loss: 0.479 | time 3322.7937467098236
Epoch 0 | Batch 21199/57412 | Loss: 0.680 | time 3354.343020439148
Epoch 0 | Batch 21399/57412 | Loss: 0.391 | time 3384.4753711223602
Epoch 0 | Batch 21599/57412 | Loss: 0.586 | time 3414.7962539196014
Epoch 0 | Batch 21799/57412 | Loss: 0.203 | time 3445.167851448059
Epoch 0 | Batch 21999/57412 | Loss: 0.402 | time 3476.9720962047577
Epoch 0 | Batch 22199/57412 | Loss: 0.420 | time 3507.2651953697205
Epoch 0 | Batch 22399/57412 | Loss: 0.459 | time 3538.480516433716
Epoch 0 | Batch 22599/57412 | Loss: 0.068 | time 3570.2706508636475
Epoch 0 | Batch 22799/57412 | Loss: 0.439 | time 3601.0031678676605
Epoch 0 | Batch 22999/57412 | Loss: 0.578 | time 3632.9715032577515
Epoch 0 | Batch 23199/57412 | Loss: 0.330 | time 3664.6839742660522
Epoch 0 | Batch 23399/57412 | Loss: 0.322 | time 3696.4691479206085
Epoch 0 | Batch 23599/57412 | Loss: 0.346 | time 3727.487375020981
Epoch 0 | Batch 23799/57412 | Loss: 0.211 | time 3758.8881714344025
Epoch 0 | Batch 23999/57412 | Loss: 0.535 | time 3789.3139324188232
Epoch 0 | Batch 24199/57412 | Loss: 0.344 | time 3821.003852367401
Epoch 0 | Batch 24399/57412 | Loss: 0.562 | time 3853.4915606975555
Epoch 0 | Batch 24599/57412 | Loss: 0.404 | time 3885.7226645946503
Epoch 0 | Batch 24799/57412 | Loss: 0.473 | time 3916.9606840610504
Epoch 0 | Batch 24999/57412 | Loss: 0.256 | time 3948.1583387851715
Epoch 0 | Batch 25199/57412 | Loss: 0.222 | time 3979.5222115516663
Epoch 0 | Batch 25399/57412 | Loss: 0.447 | time 4010.3422362804413
Epoch 0 | Batch 25599/57412 | Loss: 0.359 | time 4040.829267024994
Epoch 0 | Batch 25799/57412 | Loss: 0.625 | time 4073.1135482788086
Epoch 0 | Batch 25999/57412 | Loss: 0.130 | time 4104.88349032402
Epoch 0 | Batch 26199/57412 | Loss: 0.424 | time 4136.32185792923
Epoch 0 | Batch 26399/57412 | Loss: 0.361 | time 4166.999058008194
Epoch 0 | Batch 26599/57412 | Loss: 0.480 | time 4198.044097661972
Epoch 0 | Batch 26799/57412 | Loss: 0.484 | time 4228.993835687637
Epoch 0 | Batch 26999/57412 | Loss: 0.539 | time 4260.414650678635
Epoch 0 | Batch 27199/57412 | Loss: 0.463 | time 4292.50111246109
Epoch 0 | Batch 27399/57412 | Loss: 0.520 | time 4323.764406442642
Epoch 0 | Batch 27599/57412 | Loss: 0.523 | time 4354.788661956787
Epoch 0 | Batch 27799/57412 | Loss: 0.340 | time 4385.236027002335
Epoch 0 | Batch 27999/57412 | Loss: 0.684 | time 4416.801633358002
Epoch 0 | Batch 28199/57412 | Loss: 0.598 | time 4448.630473136902
Epoch 0 | Batch 28399/57412 | Loss: 0.445 | time 4480.499526500702
Epoch 0 | Batch 28599/57412 | Loss: 0.404 | time 4511.964813232422
Epoch 0 | Batch 28799/57412 | Loss: 0.547 | time 4541.51576590538
Epoch 0 | Batch 28999/57412 | Loss: 0.369 | time 4572.976931333542
Epoch 0 | Batch 29199/57412 | Loss: 0.520 | time 4605.340196847916
Epoch 0 | Batch 29399/57412 | Loss: 0.307 | time 4636.399285078049
Epoch 0 | Batch 29599/57412 | Loss: 0.416 | time 4668.064607620239
Epoch 0 | Batch 29799/57412 | Loss: 0.727 | time 4698.819302558899
Epoch 0 | Batch 29999/57412 | Loss: 0.645 | time 4729.204848051071
Epoch 0 | Batch 30199/57412 | Loss: 0.465 | time 4759.295505285263
Epoch 0 | Batch 30399/57412 | Loss: 0.320 | time 4791.774578809738
Epoch 0 | Batch 30599/57412 | Loss: 0.273 | time 4824.295958280563
Epoch 0 | Batch 30799/57412 | Loss: 0.504 | time 4854.980377197266
Epoch 0 | Batch 30999/57412 | Loss: 0.348 | time 4886.48948764801
Epoch 0 | Batch 31199/57412 | Loss: 0.832 | time 4918.1079840660095
Epoch 0 | Batch 31399/57412 | Loss: 0.067 | time 4949.9821128845215
Epoch 0 | Batch 31599/57412 | Loss: 0.656 | time 4981.228931903839
Epoch 0 | Batch 31799/57412 | Loss: 0.352 | time 5012.863009691238
Epoch 0 | Batch 31999/57412 | Loss: 0.609 | time 5045.147834539413
Epoch 0 | Batch 32199/57412 | Loss: 0.742 | time 5076.335092544556
Epoch 0 | Batch 32399/57412 | Loss: 0.287 | time 5107.434117794037
Epoch 0 | Batch 32599/57412 | Loss: 0.496 | time 5137.738185405731
Epoch 0 | Batch 32799/57412 | Loss: 0.633 | time 5169.947044372559
Epoch 0 | Batch 32999/57412 | Loss: 0.691 | time 5200.397044181824
Epoch 0 | Batch 33199/57412 | Loss: 0.539 | time 5232.053409099579
Epoch 0 | Batch 33399/57412 | Loss: 0.237 | time 5263.525018215179
Epoch 0 | Batch 33599/57412 | Loss: 0.402 | time 5294.737403154373
Epoch 0 | Batch 33799/57412 | Loss: 0.285 | time 5326.466111421585
Epoch 0 | Batch 33999/57412 | Loss: 0.451 | time 5358.4723036289215
Epoch 0 | Batch 34199/57412 | Loss: 0.457 | time 5389.941974878311
Epoch 0 | Batch 34399/57412 | Loss: 0.379 | time 5422.543135404587
Epoch 0 | Batch 34599/57412 | Loss: 0.543 | time 5456.161948680878
Epoch 0 | Batch 34799/57412 | Loss: 0.477 | time 5487.57062292099
Epoch 0 | Batch 34999/57412 | Loss: 0.762 | time 5520.474217414856
Epoch 0 | Batch 35199/57412 | Loss: 0.393 | time 5551.943794488907
Epoch 0 | Batch 35399/57412 | Loss: 0.279 | time 5584.563024044037
Epoch 0 | Batch 35599/57412 | Loss: 0.367 | time 5615.460336446762
Epoch 0 | Batch 35799/57412 | Loss: 0.605 | time 5646.727648735046
Epoch 0 | Batch 35999/57412 | Loss: 0.516 | time 5678.120896577835
Epoch 0 | Batch 36199/57412 | Loss: 0.124 | time 5710.023151874542
Epoch 0 | Batch 36399/57412 | Loss: 0.396 | time 5742.072091341019
Epoch 0 | Batch 36599/57412 | Loss: 0.260 | time 5773.46478676796
Epoch 0 | Batch 36799/57412 | Loss: 0.455 | time 5805.595143795013
Epoch 0 | Batch 36999/57412 | Loss: 0.151 | time 5837.991660356522
Epoch 0 | Batch 37199/57412 | Loss: 0.512 | time 5869.723049163818
Epoch 0 | Batch 37399/57412 | Loss: 0.301 | time 5902.258904218674
Epoch 0 | Batch 37599/57412 | Loss: 0.439 | time 5933.252225399017
Epoch 0 | Batch 37799/57412 | Loss: 0.385 | time 5964.671469449997
Epoch 0 | Batch 37999/57412 | Loss: 0.371 | time 5996.221268892288
Epoch 0 | Batch 38199/57412 | Loss: 0.273 | time 6029.499536514282
Epoch 0 | Batch 38399/57412 | Loss: 0.295 | time 6060.545412540436
Epoch 0 | Batch 38599/57412 | Loss: 0.234 | time 6091.470734357834
Epoch 0 | Batch 38799/57412 | Loss: 0.758 | time 6123.048977613449
Epoch 0 | Batch 38999/57412 | Loss: 0.574 | time 6155.794986963272
Epoch 0 | Batch 39199/57412 | Loss: 0.645 | time 6186.935578346252
Epoch 0 | Batch 39399/57412 | Loss: 0.398 | time 6219.221127271652
Epoch 0 | Batch 39599/57412 | Loss: 0.762 | time 6251.415757894516
Epoch 0 | Batch 39799/57412 | Loss: 0.629 | time 6283.810819149017
Epoch 0 | Batch 39999/57412 | Loss: 0.613 | time 6316.359233856201
Epoch 0 | Batch 40199/57412 | Loss: 0.149 | time 6349.1281361579895
Epoch 0 | Batch 40399/57412 | Loss: 0.727 | time 6380.47122335434
Epoch 0 | Batch 40599/57412 | Loss: 0.369 | time 6412.591514825821
Epoch 0 | Batch 40799/57412 | Loss: 0.322 | time 6443.317540407181
Epoch 0 | Batch 40999/57412 | Loss: 0.307 | time 6475.956886291504
Epoch 0 | Batch 41199/57412 | Loss: 0.301 | time 6507.1677758693695
Epoch 0 | Batch 41399/57412 | Loss: 0.383 | time 6540.052039384842
Epoch 0 | Batch 41599/57412 | Loss: 0.432 | time 6570.960750818253
Epoch 0 | Batch 41799/57412 | Loss: 0.185 | time 6603.7020053863525
Epoch 0 | Batch 41999/57412 | Loss: 0.434 | time 6634.916742563248
Epoch 0 | Batch 42199/57412 | Loss: 0.295 | time 6668.54919552803
Epoch 0 | Batch 42399/57412 | Loss: 0.318 | time 6700.782201290131
Epoch 0 | Batch 42599/57412 | Loss: 0.566 | time 6732.648947477341
Epoch 0 | Batch 42799/57412 | Loss: 0.428 | time 6764.79639005661
Epoch 0 | Batch 42999/57412 | Loss: 0.625 | time 6796.239174604416
Epoch 0 | Batch 43199/57412 | Loss: 0.359 | time 6829.527493476868
Epoch 0 | Batch 43399/57412 | Loss: 0.455 | time 6861.200335025787
Epoch 0 | Batch 43599/57412 | Loss: 0.377 | time 6894.174501657486
Epoch 0 | Batch 43799/57412 | Loss: 0.551 | time 6926.004139661789
Epoch 0 | Batch 43999/57412 | Loss: 0.605 | time 6957.6743977069855
Epoch 0 | Batch 44199/57412 | Loss: 0.629 | time 6989.277814149857
Epoch 0 | Batch 44399/57412 | Loss: 0.426 | time 7022.10995054245
Epoch 0 | Batch 44599/57412 | Loss: 0.469 | time 7055.137332201004
Epoch 0 | Batch 44799/57412 | Loss: 0.383 | time 7086.616733551025
Epoch 0 | Batch 44999/57412 | Loss: 0.453 | time 7117.552431821823
Epoch 0 | Batch 45199/57412 | Loss: 0.520 | time 7149.596969842911
Epoch 0 | Batch 45399/57412 | Loss: 0.469 | time 7181.497564315796
Epoch 0 | Batch 45599/57412 | Loss: 0.488 | time 7214.246648073196
Epoch 0 | Batch 45799/57412 | Loss: 0.314 | time 7246.228644371033
Epoch 0 | Batch 45999/57412 | Loss: 0.381 | time 7278.118243217468
Epoch 0 | Batch 46199/57412 | Loss: 0.535 | time 7309.715064048767
Epoch 0 | Batch 46399/57412 | Loss: 0.231 | time 7340.20166015625
Epoch 0 | Batch 46599/57412 | Loss: 0.332 | time 7373.391324520111
Epoch 0 | Batch 46799/57412 | Loss: 0.703 | time 7405.237425327301
Epoch 0 | Batch 46999/57412 | Loss: 0.391 | time 7437.420745134354
Epoch 0 | Batch 47199/57412 | Loss: 0.328 | time 7468.975890159607
Epoch 0 | Batch 47399/57412 | Loss: 0.443 | time 7499.386501789093
Epoch 0 | Batch 47599/57412 | Loss: 0.389 | time 7531.539176702499
Epoch 0 | Batch 47799/57412 | Loss: 0.357 | time 7563.0346529483795
Epoch 0 | Batch 47999/57412 | Loss: 0.205 | time 7596.078804254532
Epoch 0 | Batch 48199/57412 | Loss: 0.656 | time 7629.099986791611
Epoch 0 | Batch 48399/57412 | Loss: 0.344 | time 7659.785820484161
Epoch 0 | Batch 48599/57412 | Loss: 0.482 | time 7691.465325117111
Epoch 0 | Batch 48799/57412 | Loss: 0.562 | time 7721.366681575775
Epoch 0 | Batch 48999/57412 | Loss: 0.559 | time 7752.487090826035
Epoch 0 | Batch 49199/57412 | Loss: 0.379 | time 7784.00509595871
Epoch 0 | Batch 49399/57412 | Loss: 0.400 | time 7814.9926018714905
Epoch 0 | Batch 49599/57412 | Loss: 0.441 | time 7847.13291478157
Epoch 0 | Batch 49799/57412 | Loss: 0.346 | time 7878.420436143875
Epoch 0 | Batch 49999/57412 | Loss: 0.449 | time 7909.785850524902
Epoch 0 | Batch 50199/57412 | Loss: 0.359 | time 7941.398171424866
Epoch 0 | Batch 50399/57412 | Loss: 0.436 | time 7973.227392673492
Epoch 0 | Batch 50599/57412 | Loss: 0.652 | time 8004.367533683777
Epoch 0 | Batch 50799/57412 | Loss: 0.336 | time 8041.702650308609
Epoch 0 | Batch 50999/57412 | Loss: 0.594 | time 8074.297737121582
Epoch 0 | Batch 51199/57412 | Loss: 0.582 | time 8105.504992723465
Epoch 0 | Batch 51399/57412 | Loss: 0.338 | time 8138.141509771347
Epoch 0 | Batch 51599/57412 | Loss: 0.430 | time 8169.773171186447
Epoch 0 | Batch 51799/57412 | Loss: 0.484 | time 8201.109950304031
Epoch 0 | Batch 51999/57412 | Loss: 0.602 | time 8232.721054792404
Epoch 0 | Batch 52199/57412 | Loss: 0.420 | time 8265.839501857758
Epoch 0 | Batch 52399/57412 | Loss: 0.402 | time 8297.945809364319
Epoch 0 | Batch 52599/57412 | Loss: 0.648 | time 8329.962280988693
Epoch 0 | Batch 52799/57412 | Loss: 0.171 | time 8361.95452284813
Epoch 0 | Batch 52999/57412 | Loss: 0.902 | time 8392.685901641846
Epoch 0 | Batch 53199/57412 | Loss: 0.461 | time 8423.632184028625
Epoch 0 | Batch 53399/57412 | Loss: 0.140 | time 8454.937396287918
Epoch 0 | Batch 53599/57412 | Loss: 0.268 | time 8485.95295214653
Epoch 0 | Batch 53799/57412 | Loss: 0.402 | time 8518.38991355896
Epoch 0 | Batch 53999/57412 | Loss: 0.229 | time 8551.83948469162
Epoch 0 | Batch 54199/57412 | Loss: 0.613 | time 8585.053875923157
Epoch 0 | Batch 54399/57412 | Loss: 0.539 | time 8617.651630401611
Epoch 0 | Batch 54599/57412 | Loss: 0.477 | time 8649.641533851624
Epoch 0 | Batch 54799/57412 | Loss: 0.434 | time 8680.790456533432
Epoch 0 | Batch 54999/57412 | Loss: 0.672 | time 8713.07184767723
Epoch 0 | Batch 55199/57412 | Loss: 0.363 | time 8745.554260492325
Epoch 0 | Batch 55399/57412 | Loss: 0.463 | time 8777.579223155975
Epoch 0 | Batch 55599/57412 | Loss: 0.426 | time 8810.105640411377
Epoch 0 | Batch 55799/57412 | Loss: 0.562 | time 8842.590330839157
Epoch 0 | Batch 55999/57412 | Loss: 0.084 | time 8874.285476922989
Epoch 0 | Batch 56199/57412 | Loss: 0.301 | time 8905.994721651077
Epoch 0 | Batch 56399/57412 | Loss: 0.123 | time 8938.131180047989
Epoch 0 | Batch 56599/57412 | Loss: 0.340 | time 8972.163693666458
Epoch 0 | Batch 56799/57412 | Loss: 0.469 | time 9003.022691249847
Epoch 0 | Batch 56999/57412 | Loss: 0.180 | time 9035.849692821503
Epoch 0 | Batch 57199/57412 | Loss: 0.379 | time 9067.654886007309
Epoch 0 | Batch 57399/57412 | Loss: 0.275 | time 9098.85390329361
=========================================================================================
=========================================================================================
=========================================================================================
Epoch 0 | Validation Samples 5082 | Validation Acc: 0.40082644628099173 | time 216.64871311187744
=========================================================================================
Saving at Epoch 0 | Learning rate: 2e-05
Epoch 1 | Batch 199/57412 | Loss: 0.210 | time 32.97168731689453
Epoch 1 | Batch 399/57412 | Loss: 0.156 | time 65.25332880020142
Epoch 1 | Batch 599/57412 | Loss: 0.273 | time 97.46416521072388
Epoch 1 | Batch 799/57412 | Loss: 0.173 | time 128.70380997657776
Epoch 1 | Batch 999/57412 | Loss: 0.320 | time 159.92253613471985
Epoch 1 | Batch 1199/57412 | Loss: 0.391 | time 191.66877150535583
Epoch 1 | Batch 1399/57412 | Loss: 0.395 | time 225.0072238445282
Epoch 1 | Batch 1599/57412 | Loss: 0.273 | time 258.16606736183167
Epoch 1 | Batch 1799/57412 | Loss: 0.262 | time 289.17800784111023
Epoch 1 | Batch 1999/57412 | Loss: 0.067 | time 320.22426199913025
Epoch 1 | Batch 2199/57412 | Loss: 0.160 | time 350.65255856513977
Epoch 1 | Batch 2399/57412 | Loss: 0.570 | time 380.89698243141174
Epoch 1 | Batch 2599/57412 | Loss: 0.330 | time 413.7522943019867
Epoch 1 | Batch 2799/57412 | Loss: 0.285 | time 445.1460292339325
Epoch 1 | Batch 2999/57412 | Loss: 0.193 | time 477.13334584236145
Epoch 1 | Batch 3199/57412 | Loss: 0.428 | time 508.28525471687317
Epoch 1 | Batch 3399/57412 | Loss: 0.295 | time 540.2808463573456
Epoch 1 | Batch 3599/57412 | Loss: 0.410 | time 571.5215885639191
Epoch 1 | Batch 3799/57412 | Loss: 0.393 | time 604.323662519455
Epoch 1 | Batch 3999/57412 | Loss: 0.186 | time 635.6136603355408
Epoch 1 | Batch 4199/57412 | Loss: 0.312 | time 666.1755893230438
Epoch 1 | Batch 4399/57412 | Loss: 0.617 | time 698.0041868686676
Epoch 1 | Batch 4599/57412 | Loss: 0.241 | time 729.7977466583252
Epoch 1 | Batch 4799/57412 | Loss: 0.342 | time 760.5158870220184
Epoch 1 | Batch 4999/57412 | Loss: 0.455 | time 790.9838972091675
Epoch 1 | Batch 5199/57412 | Loss: 0.357 | time 822.530755519867
Epoch 1 | Batch 5399/57412 | Loss: 0.330 | time 853.8578112125397
Epoch 1 | Batch 5599/57412 | Loss: 0.414 | time 884.9215219020844
Epoch 1 | Batch 5799/57412 | Loss: 0.357 | time 916.0259687900543
Epoch 1 | Batch 5999/57412 | Loss: 0.385 | time 947.1645901203156
Epoch 1 | Batch 6199/57412 | Loss: 0.420 | time 977.932963848114
Epoch 1 | Batch 6399/57412 | Loss: 0.243 | time 1009.5242807865143
Epoch 1 | Batch 6599/57412 | Loss: 0.295 | time 1040.3274354934692
Epoch 1 | Batch 6799/57412 | Loss: 0.391 | time 1072.3762164115906
Epoch 1 | Batch 6999/57412 | Loss: 0.453 | time 1103.1427066326141
Epoch 1 | Batch 7199/57412 | Loss: 0.299 | time 1133.317332983017
Epoch 1 | Batch 7399/57412 | Loss: 0.320 | time 1164.703212738037
Epoch 1 | Batch 7599/57412 | Loss: 0.504 | time 1196.3889968395233
Epoch 1 | Batch 7799/57412 | Loss: 0.408 | time 1227.5443291664124
Epoch 1 | Batch 7999/57412 | Loss: 0.512 | time 1258.167948961258
Epoch 1 | Batch 8199/57412 | Loss: 0.187 | time 1289.9614925384521
Epoch 1 | Batch 8399/57412 | Loss: 0.459 | time 1321.4821152687073
Epoch 1 | Batch 8599/57412 | Loss: 0.273 | time 1352.9326395988464
Epoch 1 | Batch 8799/57412 | Loss: 0.492 | time 1386.486142873764
Epoch 1 | Batch 8999/57412 | Loss: 0.326 | time 1418.3056328296661
Epoch 1 | Batch 9199/57412 | Loss: 0.559 | time 1450.077891588211
Epoch 1 | Batch 9399/57412 | Loss: 0.461 | time 1482.2228899002075
Epoch 1 | Batch 9599/57412 | Loss: 0.297 | time 1513.7777762413025
Epoch 1 | Batch 9799/57412 | Loss: 0.097 | time 1545.1450777053833
Epoch 1 | Batch 9999/57412 | Loss: 0.488 | time 1576.5634934902191
Epoch 1 | Batch 10199/57412 | Loss: 0.171 | time 1607.378685951233
Epoch 1 | Batch 10399/57412 | Loss: 0.527 | time 1639.1556129455566
Epoch 1 | Batch 10599/57412 | Loss: 0.348 | time 1669.2733252048492
Epoch 1 | Batch 10799/57412 | Loss: 0.165 | time 1700.5449402332306
Epoch 1 | Batch 10999/57412 | Loss: 0.229 | time 1730.5418269634247
Epoch 1 | Batch 11199/57412 | Loss: 0.234 | time 1761.5651757717133
Epoch 1 | Batch 11399/57412 | Loss: 0.535 | time 1792.2882945537567
Epoch 1 | Batch 11599/57412 | Loss: 0.309 | time 1825.4075801372528
Epoch 1 | Batch 11799/57412 | Loss: 0.309 | time 1855.445839881897
Epoch 1 | Batch 11999/57412 | Loss: 0.443 | time 1887.0209472179413
Epoch 1 | Batch 12199/57412 | Loss: 0.467 | time 1918.156013727188
Epoch 1 | Batch 12399/57412 | Loss: 0.295 | time 1949.2813847064972
Epoch 1 | Batch 12599/57412 | Loss: 0.500 | time 1981.679946899414
Epoch 1 | Batch 12799/57412 | Loss: 0.228 | time 2012.8983387947083
Epoch 1 | Batch 12999/57412 | Loss: 0.535 | time 2044.7933480739594
Epoch 1 | Batch 13199/57412 | Loss: 0.139 | time 2076.390711069107
Epoch 1 | Batch 13399/57412 | Loss: 0.418 | time 2108.861317396164
Epoch 1 | Batch 13599/57412 | Loss: 0.262 | time 2140.4207508563995
Epoch 1 | Batch 13799/57412 | Loss: 0.420 | time 2172.2240347862244
Epoch 1 | Batch 13999/57412 | Loss: 0.252 | time 2202.9317169189453
Epoch 1 | Batch 14199/57412 | Loss: 0.443 | time 2235.264058828354
Epoch 1 | Batch 14399/57412 | Loss: 0.208 | time 2267.0605940818787
Epoch 1 | Batch 14599/57412 | Loss: 0.438 | time 2299.4718945026398
Epoch 1 | Batch 14799/57412 | Loss: 0.342 | time 2330.649336576462
Epoch 1 | Batch 14999/57412 | Loss: 0.197 | time 2361.7704181671143
Epoch 1 | Batch 15199/57412 | Loss: 0.169 | time 2392.9510617256165
Epoch 1 | Batch 15399/57412 | Loss: 0.445 | time 2425.5584230422974
Epoch 1 | Batch 15599/57412 | Loss: 0.393 | time 2458.26460146904
Epoch 1 | Batch 15799/57412 | Loss: 0.357 | time 2489.8135204315186
Epoch 1 | Batch 15999/57412 | Loss: 0.307 | time 2520.025381565094
Epoch 1 | Batch 16199/57412 | Loss: 0.124 | time 2551.6244122982025
Epoch 1 | Batch 16399/57412 | Loss: 0.494 | time 2582.810328245163
Epoch 1 | Batch 16599/57412 | Loss: 0.381 | time 2614.7847847938538
Epoch 1 | Batch 16799/57412 | Loss: 0.181 | time 2645.3552758693695
Epoch 1 | Batch 16999/57412 | Loss: 0.439 | time 2676.6746077537537
Epoch 1 | Batch 17199/57412 | Loss: 0.361 | time 2707.3403646945953
Epoch 1 | Batch 17399/57412 | Loss: 0.117 | time 2738.3531725406647
Epoch 1 | Batch 17599/57412 | Loss: 0.355 | time 2769.900737762451
Epoch 1 | Batch 17799/57412 | Loss: 0.093 | time 2801.052142381668
Epoch 1 | Batch 17999/57412 | Loss: 0.393 | time 2831.1455461978912
Epoch 1 | Batch 18199/57412 | Loss: 0.330 | time 2861.956754922867
Epoch 1 | Batch 18399/57412 | Loss: 0.114 | time 2895.8835711479187
Epoch 1 | Batch 18599/57412 | Loss: 0.398 | time 2927.270077943802
Epoch 1 | Batch 18799/57412 | Loss: 0.432 | time 2959.129540205002
Epoch 1 | Batch 18999/57412 | Loss: 0.527 | time 2990.008225917816
Epoch 1 | Batch 19199/57412 | Loss: 0.459 | time 3020.520490884781
Epoch 1 | Batch 19399/57412 | Loss: 0.183 | time 3052.314610481262
Epoch 1 | Batch 19599/57412 | Loss: 0.375 | time 3084.6891434192657
Epoch 1 | Batch 19799/57412 | Loss: 0.076 | time 3117.164694786072
Epoch 1 | Batch 19999/57412 | Loss: 0.535 | time 3147.5097239017487
Epoch 1 | Batch 20199/57412 | Loss: 0.258 | time 3178.037792444229
Epoch 1 | Batch 20399/57412 | Loss: 0.283 | time 3209.1357645988464
Epoch 1 | Batch 20599/57412 | Loss: 0.129 | time 3239.4447948932648
Epoch 1 | Batch 20799/57412 | Loss: 0.354 | time 3270.5934314727783
Epoch 0 | Batch 199/57412 | Loss: 0.461 | time 33.93769860267639
Epoch 0 | Batch 399/57412 | Loss: 0.314 | time 66.20810151100159
Epoch 0 | Batch 599/57412 | Loss: 0.471 | time 98.17873024940491
Epoch 0 | Batch 799/57412 | Loss: 0.455 | time 129.21706986427307
Epoch 0 | Batch 999/57412 | Loss: 0.523 | time 159.91866779327393
Epoch 0 | Batch 1199/57412 | Loss: 0.508 | time 191.06995582580566
Epoch 0 | Batch 1399/57412 | Loss: 0.719 | time 223.99362206459045
Epoch 0 | Batch 1599/57412 | Loss: 0.559 | time 256.76252698898315
Epoch 0 | Batch 1799/57412 | Loss: 0.512 | time 287.3761022090912
Epoch 0 | Batch 1999/57412 | Loss: 0.318 | time 318.27770495414734
Epoch 0 | Batch 2199/57412 | Loss: 0.285 | time 348.320458650589
Epoch 0 | Batch 2399/57412 | Loss: 0.785 | time 378.12973284721375
Epoch 0 | Batch 2599/57412 | Loss: 0.426 | time 410.41403579711914
Epoch 0 | Batch 2799/57412 | Loss: 0.377 | time 441.7571587562561
Epoch 0 | Batch 2999/57412 | Loss: 0.566 | time 473.49361085891724
Epoch 0 | Batch 3199/57412 | Loss: 0.590 | time 504.38597416877747
Epoch 0 | Batch 3399/57412 | Loss: 0.375 | time 536.1067862510681
Epoch 0 | Batch 3599/57412 | Loss: 0.457 | time 567.0533890724182
Epoch 0 | Batch 3799/57412 | Loss: 0.512 | time 598.4908928871155
Epoch 0 | Batch 3999/57412 | Loss: 0.249 | time 629.5597894191742
Epoch 0 | Batch 4199/57412 | Loss: 0.594 | time 660.0223381519318
Epoch 0 | Batch 4399/57412 | Loss: 0.691 | time 692.1793377399445
Epoch 0 | Batch 4599/57412 | Loss: 0.355 | time 724.1791665554047
Epoch 0 | Batch 4799/57412 | Loss: 0.432 | time 755.0600707530975
Epoch 0 | Batch 4999/57412 | Loss: 0.578 | time 785.707079410553
Epoch 0 | Batch 5199/57412 | Loss: 0.535 | time 817.435971736908
Epoch 0 | Batch 5399/57412 | Loss: 0.396 | time 849.0123779773712
Epoch 0 | Batch 5599/57412 | Loss: 0.467 | time 880.3100073337555
Epoch 0 | Batch 5799/57412 | Loss: 0.434 | time 911.8137247562408
Epoch 0 | Batch 5999/57412 | Loss: 0.613 | time 943.1370253562927
Epoch 0 | Batch 6199/57412 | Loss: 0.500 | time 974.242030620575
Epoch 0 | Batch 6399/57412 | Loss: 0.316 | time 1006.242659330368
Epoch 0 | Batch 6599/57412 | Loss: 0.355 | time 1037.4624619483948
Epoch 0 | Batch 6799/57412 | Loss: 0.516 | time 1069.8209834098816
Epoch 0 | Batch 6999/57412 | Loss: 0.504 | time 1101.0680210590363
Epoch 0 | Batch 7199/57412 | Loss: 0.375 | time 1131.6611828804016
Epoch 0 | Batch 7399/57412 | Loss: 0.428 | time 1163.1198909282684
Epoch 0 | Batch 7599/57412 | Loss: 0.684 | time 1194.695967912674
Epoch 0 | Batch 7799/57412 | Loss: 1.102 | time 1225.7298197746277
Epoch 0 | Batch 7999/57412 | Loss: 0.723 | time 1256.2786586284637
Epoch 0 | Batch 8199/57412 | Loss: 0.270 | time 1288.0605301856995
Epoch 0 | Batch 8399/57412 | Loss: 0.551 | time 1319.5307178497314
Epoch 0 | Batch 8599/57412 | Loss: 0.338 | time 1350.847510099411
Epoch 0 | Batch 8799/57412 | Loss: 0.648 | time 1384.2004029750824
Epoch 0 | Batch 8999/57412 | Loss: 0.562 | time 1416.3715183734894
Epoch 0 | Batch 9199/57412 | Loss: 0.727 | time 1448.4524025917053
Epoch 0 | Batch 9399/57412 | Loss: 0.547 | time 1480.809611082077
Epoch 0 | Batch 9599/57412 | Loss: 0.400 | time 1512.5467591285706
Epoch 0 | Batch 9799/57412 | Loss: 0.100 | time 1544.0975365638733
Epoch 0 | Batch 9999/57412 | Loss: 0.551 | time 1575.8505623340607
Epoch 0 | Batch 10199/57412 | Loss: 0.262 | time 1606.9173471927643
Epoch 0 | Batch 10399/57412 | Loss: 0.602 | time 1638.675134897232
Epoch 0 | Batch 10599/57412 | Loss: 0.400 | time 1669.15283036232
Epoch 0 | Batch 10799/57412 | Loss: 0.379 | time 1700.9051258563995
Epoch 0 | Batch 10999/57412 | Loss: 0.254 | time 1731.457170009613
Epoch 0 | Batch 11199/57412 | Loss: 0.330 | time 1763.139358997345
Epoch 0 | Batch 11399/57412 | Loss: 0.652 | time 1794.5225052833557
Epoch 0 | Batch 11599/57412 | Loss: 0.410 | time 1828.2483961582184
Epoch 0 | Batch 11799/57412 | Loss: 0.404 | time 1859.0637378692627
Epoch 0 | Batch 11999/57412 | Loss: 0.500 | time 1891.3103365898132
Epoch 0 | Batch 12199/57412 | Loss: 0.559 | time 1923.1972036361694
Epoch 0 | Batch 12399/57412 | Loss: 0.617 | time 1954.8855514526367
Epoch 0 | Batch 12599/57412 | Loss: 0.707 | time 1987.4767353534698
Epoch 0 | Batch 12799/57412 | Loss: 0.237 | time 2018.9180047512054
Epoch 0 | Batch 12999/57412 | Loss: 0.590 | time 2050.684263944626
Epoch 0 | Batch 13199/57412 | Loss: 0.260 | time 2082.0904614925385
Epoch 0 | Batch 13399/57412 | Loss: 0.531 | time 2114.3007600307465
Epoch 0 | Batch 13599/57412 | Loss: 0.316 | time 2145.4737827777863
Epoch 0 | Batch 13799/57412 | Loss: 0.455 | time 2176.9214775562286
Epoch 0 | Batch 13999/57412 | Loss: 0.285 | time 2207.5574700832367
Epoch 0 | Batch 14199/57412 | Loss: 0.496 | time 2239.7100563049316
Epoch 0 | Batch 14399/57412 | Loss: 0.229 | time 2271.388998270035
Epoch 0 | Batch 14599/57412 | Loss: 0.471 | time 2303.6851890087128
Epoch 0 | Batch 14799/57412 | Loss: 0.375 | time 2334.9071247577667
Epoch 0 | Batch 14999/57412 | Loss: 0.206 | time 2365.817957162857
Epoch 0 | Batch 15199/57412 | Loss: 0.208 | time 2397.2230911254883
Epoch 0 | Batch 15399/57412 | Loss: 0.479 | time 2429.914947986603
Epoch 0 | Batch 15599/57412 | Loss: 0.410 | time 2462.7023322582245
Epoch 0 | Batch 15799/57412 | Loss: 0.426 | time 2494.333484888077
Epoch 0 | Batch 15999/57412 | Loss: 0.348 | time 2524.6411349773407
Epoch 0 | Batch 16199/57412 | Loss: 0.301 | time 2556.3190989494324
Epoch 0 | Batch 16399/57412 | Loss: 0.574 | time 2587.709280014038
Epoch 0 | Batch 16599/57412 | Loss: 0.422 | time 2619.7218732833862
Epoch 0 | Batch 16799/57412 | Loss: 0.199 | time 2650.7091567516327
Epoch 0 | Batch 16999/57412 | Loss: 0.551 | time 2682.3986055850983
Epoch 0 | Batch 17199/57412 | Loss: 0.428 | time 2713.5997591018677
Epoch 0 | Batch 17399/57412 | Loss: 0.348 | time 2744.6650512218475
Epoch 0 | Batch 17599/57412 | Loss: 0.398 | time 2776.342144012451
Epoch 0 | Batch 17799/57412 | Loss: 0.098 | time 2807.6772475242615
Epoch 0 | Batch 17999/57412 | Loss: 0.512 | time 2837.732893228531
Epoch 0 | Batch 18199/57412 | Loss: 0.348 | time 2868.6358144283295
Epoch 0 | Batch 18399/57412 | Loss: 0.203 | time 2902.7976779937744
Epoch 0 | Batch 18599/57412 | Loss: 0.439 | time 2934.517455101013
Epoch 0 | Batch 18799/57412 | Loss: 0.451 | time 2966.6168217658997
Epoch 0 | Batch 18999/57412 | Loss: 0.645 | time 2997.6741762161255
Epoch 0 | Batch 19199/57412 | Loss: 0.508 | time 3028.538847923279
Epoch 0 | Batch 19399/57412 | Loss: 0.232 | time 3060.3176822662354
Epoch 0 | Batch 19599/57412 | Loss: 0.379 | time 3092.5599570274353
Epoch 0 | Batch 19799/57412 | Loss: 0.145 | time 3124.885819196701
Epoch 0 | Batch 19999/57412 | Loss: 0.582 | time 3155.161930322647
Epoch 0 | Batch 20199/57412 | Loss: 0.287 | time 3186.0402171611786
Epoch 0 | Batch 20399/57412 | Loss: 0.289 | time 3217.535854101181
Epoch 0 | Batch 20599/57412 | Loss: 0.172 | time 3248.232141971588
Epoch 0 | Batch 20799/57412 | Loss: 0.363 | time 3279.8974316120148
Epoch 0 | Batch 20999/57412 | Loss: 0.486 | time 3312.622612953186
Epoch 0 | Batch 21199/57412 | Loss: 0.680 | time 3344.561402797699
Epoch 0 | Batch 21399/57412 | Loss: 0.406 | time 3375.0719316005707
Epoch 0 | Batch 21599/57412 | Loss: 0.586 | time 3405.9135785102844
Epoch 0 | Batch 21799/57412 | Loss: 0.206 | time 3436.80655670166
Epoch 0 | Batch 21999/57412 | Loss: 0.398 | time 3468.7777366638184
Epoch 0 | Batch 22199/57412 | Loss: 0.432 | time 3499.5711648464203
Epoch 0 | Batch 22399/57412 | Loss: 0.459 | time 3531.1494183540344
Epoch 0 | Batch 22599/57412 | Loss: 0.071 | time 3564.32181930542
Epoch 0 | Batch 22799/57412 | Loss: 0.432 | time 3595.4977967739105
Epoch 0 | Batch 22999/57412 | Loss: 0.570 | time 3627.857171058655
Epoch 0 | Batch 23199/57412 | Loss: 0.348 | time 3659.9783630371094
Epoch 0 | Batch 23399/57412 | Loss: 0.330 | time 3692.2189757823944
Epoch 0 | Batch 23599/57412 | Loss: 0.359 | time 3723.5588977336884
Epoch 0 | Batch 23799/57412 | Loss: 0.215 | time 3755.481596469879
Epoch 0 | Batch 23999/57412 | Loss: 0.562 | time 3786.2561073303223
Epoch 0 | Batch 24199/57412 | Loss: 0.344 | time 3818.155301809311
Epoch 0 | Batch 24399/57412 | Loss: 0.559 | time 3850.740770816803
Epoch 0 | Batch 24599/57412 | Loss: 0.404 | time 3883.153979063034
Epoch 0 | Batch 24799/57412 | Loss: 0.477 | time 3914.3772418498993
Epoch 0 | Batch 24999/57412 | Loss: 0.260 | time 3945.798567533493
Epoch 0 | Batch 25199/57412 | Loss: 0.230 | time 3977.173300266266
Epoch 0 | Batch 25399/57412 | Loss: 0.461 | time 4008.0968623161316
Epoch 0 | Batch 25599/57412 | Loss: 0.371 | time 4038.7953946590424
Epoch 0 | Batch 25799/57412 | Loss: 0.633 | time 4071.3036403656006
Epoch 0 | Batch 25999/57412 | Loss: 0.130 | time 4103.195836544037
Epoch 0 | Batch 26199/57412 | Loss: 0.414 | time 4134.681415081024
Epoch 0 | Batch 26399/57412 | Loss: 0.363 | time 4165.635644197464
Epoch 0 | Batch 26599/57412 | Loss: 0.471 | time 4196.961580038071
Epoch 0 | Batch 26799/57412 | Loss: 0.496 | time 4228.149239063263
Epoch 0 | Batch 26999/57412 | Loss: 0.547 | time 4259.861201047897
Epoch 0 | Batch 27199/57412 | Loss: 0.459 | time 4292.321129083633
Epoch 0 | Batch 27399/57412 | Loss: 0.535 | time 4323.832984209061
Epoch 0 | Batch 27599/57412 | Loss: 0.535 | time 4355.06760430336
Epoch 0 | Batch 27799/57412 | Loss: 0.348 | time 4385.765280723572
Epoch 0 | Batch 27999/57412 | Loss: 0.688 | time 4417.656303882599
Epoch 0 | Batch 28199/57412 | Loss: 0.602 | time 4449.630375146866
Epoch 0 | Batch 28399/57412 | Loss: 0.459 | time 4481.77872800827
Epoch 0 | Batch 28599/57412 | Loss: 0.410 | time 4513.426399707794
Epoch 0 | Batch 28799/57412 | Loss: 0.551 | time 4543.207970619202
Epoch 0 | Batch 28999/57412 | Loss: 0.375 | time 4574.453467607498
Epoch 0 | Batch 29199/57412 | Loss: 0.508 | time 4606.981360435486
Epoch 0 | Batch 29399/57412 | Loss: 0.303 | time 4637.971407175064
Epoch 0 | Batch 29599/57412 | Loss: 0.406 | time 4669.542660951614
Epoch 0 | Batch 29799/57412 | Loss: 0.785 | time 4700.310549497604
Epoch 0 | Batch 29999/57412 | Loss: 0.645 | time 4730.865946531296
Epoch 0 | Batch 30199/57412 | Loss: 0.465 | time 4761.118315696716
Epoch 0 | Batch 30399/57412 | Loss: 0.328 | time 4793.870049953461
Epoch 0 | Batch 30599/57412 | Loss: 0.273 | time 4826.719277381897
Epoch 0 | Batch 30799/57412 | Loss: 0.508 | time 4857.791871547699
Epoch 0 | Batch 30999/57412 | Loss: 0.355 | time 4889.761446475983
Epoch 0 | Batch 31199/57412 | Loss: 0.750 | time 4921.738366127014
Epoch 0 | Batch 31399/57412 | Loss: 0.064 | time 4954.020734071732
Epoch 0 | Batch 31599/57412 | Loss: 0.648 | time 4985.717592716217
Epoch 0 | Batch 31799/57412 | Loss: 0.375 | time 5017.846824169159
Epoch 0 | Batch 31999/57412 | Loss: 0.598 | time 5050.646289110184
Epoch 0 | Batch 32199/57412 | Loss: 0.746 | time 5082.144156217575
Epoch 0 | Batch 32399/57412 | Loss: 0.275 | time 5113.693676948547
Epoch 0 | Batch 32599/57412 | Loss: 0.496 | time 5144.4788155555725
Epoch 0 | Batch 32799/57412 | Loss: 0.637 | time 5177.0009870529175
Epoch 0 | Batch 32999/57412 | Loss: 0.688 | time 5207.802878379822
Epoch 0 | Batch 33199/57412 | Loss: 0.543 | time 5239.539060592651
Epoch 0 | Batch 33399/57412 | Loss: 0.256 | time 5271.089515447617
Epoch 0 | Batch 33599/57412 | Loss: 0.396 | time 5302.393676280975
Epoch 0 | Batch 33799/57412 | Loss: 0.270 | time 5334.13400554657
Epoch 0 | Batch 33999/57412 | Loss: 0.457 | time 5366.370374917984
Epoch 0 | Batch 34199/57412 | Loss: 0.449 | time 5398.016394376755
Epoch 0 | Batch 34399/57412 | Loss: 0.383 | time 5430.711157798767
Epoch 0 | Batch 34599/57412 | Loss: 0.559 | time 5464.051429510117
Epoch 0 | Batch 34799/57412 | Loss: 0.488 | time 5495.631706476212
Epoch 0 | Batch 34999/57412 | Loss: 0.781 | time 5528.673171043396
Epoch 0 | Batch 35199/57412 | Loss: 0.391 | time 5560.200428009033
Epoch 0 | Batch 35399/57412 | Loss: 0.270 | time 5592.5225558280945
Epoch 0 | Batch 35599/57412 | Loss: 0.373 | time 5623.53863120079
Epoch 0 | Batch 35799/57412 | Loss: 0.586 | time 5655.061198949814
Epoch 0 | Batch 35999/57412 | Loss: 0.520 | time 5686.412440061569
Epoch 0 | Batch 36199/57412 | Loss: 0.125 | time 5718.190621852875
Epoch 0 | Batch 36399/57412 | Loss: 0.400 | time 5750.296430587769
Epoch 0 | Batch 36599/57412 | Loss: 0.260 | time 5781.83065032959
Epoch 0 | Batch 36799/57412 | Loss: 0.451 | time 5813.8351328372955
Epoch 0 | Batch 36999/57412 | Loss: 0.157 | time 5846.187978982925
Epoch 0 | Batch 37199/57412 | Loss: 0.496 | time 5877.897943019867
Epoch 0 | Batch 37399/57412 | Loss: 0.311 | time 5910.435296058655
Epoch 0 | Batch 37599/57412 | Loss: 0.451 | time 5941.24711561203
Epoch 0 | Batch 37799/57412 | Loss: 0.389 | time 5972.459649801254
Epoch 0 | Batch 37999/57412 | Loss: 0.373 | time 6003.8351957798
Epoch 0 | Batch 38199/57412 | Loss: 0.217 | time 6036.8600289821625
Epoch 0 | Batch 38399/57412 | Loss: 0.293 | time 6067.628402709961
Epoch 0 | Batch 38599/57412 | Loss: 0.235 | time 6098.667724132538
Epoch 0 | Batch 38799/57412 | Loss: 0.762 | time 6130.399998188019
Epoch 0 | Batch 38999/57412 | Loss: 0.578 | time 6163.283543586731
Epoch 0 | Batch 39199/57412 | Loss: 0.648 | time 6194.615971803665
Epoch 0 | Batch 39399/57412 | Loss: 0.406 | time 6227.022644996643
Epoch 0 | Batch 39599/57412 | Loss: 0.754 | time 6259.17304110527
Epoch 0 | Batch 39799/57412 | Loss: 0.668 | time 6291.645569562912
Epoch 0 | Batch 39999/57412 | Loss: 0.625 | time 6324.190593719482
Epoch 0 | Batch 40199/57412 | Loss: 0.207 | time 6356.974659919739
Epoch 0 | Batch 40399/57412 | Loss: 0.746 | time 6388.270177125931
Epoch 0 | Batch 40599/57412 | Loss: 0.375 | time 6420.458714962006
Epoch 0 | Batch 40799/57412 | Loss: 0.365 | time 6451.287580251694
Epoch 0 | Batch 40999/57412 | Loss: 0.314 | time 6483.246280193329
Epoch 0 | Batch 41199/57412 | Loss: 0.307 | time 6513.693100690842
Epoch 0 | Batch 41399/57412 | Loss: 0.381 | time 6545.889376163483
Epoch 0 | Batch 41599/57412 | Loss: 0.445 | time 6576.21789932251
Epoch 0 | Batch 41799/57412 | Loss: 0.188 | time 6608.349586486816
Epoch 0 | Batch 41999/57412 | Loss: 0.422 | time 6638.817554235458
Epoch 0 | Batch 42199/57412 | Loss: 0.297 | time 6671.81437420845
Epoch 0 | Batch 42399/57412 | Loss: 0.314 | time 6703.404771566391
Epoch 0 | Batch 42599/57412 | Loss: 0.562 | time 6734.663169384003
Epoch 0 | Batch 42799/57412 | Loss: 0.434 | time 6766.0052654743195
Epoch 0 | Batch 42999/57412 | Loss: 0.586 | time 6796.503134012222
Epoch 0 | Batch 43199/57412 | Loss: 0.357 | time 6829.032648801804
Epoch 0 | Batch 43399/57412 | Loss: 0.455 | time 6860.3904349803925
Epoch 0 | Batch 43599/57412 | Loss: 0.400 | time 6893.273628950119
Epoch 0 | Batch 43799/57412 | Loss: 0.555 | time 6924.883507966995
Epoch 0 | Batch 43999/57412 | Loss: 0.609 | time 6956.230576038361
Epoch 0 | Batch 44199/57412 | Loss: 0.637 | time 6987.750877857208
Epoch 0 | Batch 44399/57412 | Loss: 0.432 | time 7020.191117048264
Epoch 0 | Batch 44599/57412 | Loss: 0.461 | time 7052.671521902084
Epoch 0 | Batch 44799/57412 | Loss: 0.387 | time 7083.687342643738
Epoch 0 | Batch 44999/57412 | Loss: 0.459 | time 7114.339910030365
Epoch 0 | Batch 45199/57412 | Loss: 0.523 | time 7146.014267206192
Epoch 0 | Batch 45399/57412 | Loss: 0.484 | time 7177.533873319626
Epoch 0 | Batch 45599/57412 | Loss: 0.498 | time 7209.980888366699
Epoch 0 | Batch 45799/57412 | Loss: 0.312 | time 7240.938996076584
Epoch 0 | Batch 45999/57412 | Loss: 0.359 | time 7272.4125871658325
Epoch 0 | Batch 46199/57412 | Loss: 0.547 | time 7304.047385215759
Epoch 0 | Batch 46399/57412 | Loss: 0.243 | time 7334.461196184158
Epoch 0 | Batch 46599/57412 | Loss: 0.336 | time 7367.321965932846
Epoch 0 | Batch 46799/57412 | Loss: 0.750 | time 7398.950263977051
Epoch 0 | Batch 46999/57412 | Loss: 0.398 | time 7430.946164131165
Epoch 0 | Batch 47199/57412 | Loss: 0.344 | time 7462.409494400024
Epoch 0 | Batch 47399/57412 | Loss: 0.438 | time 7492.692837238312
Epoch 0 | Batch 47599/57412 | Loss: 0.398 | time 7524.793420314789
Epoch 0 | Batch 47799/57412 | Loss: 0.365 | time 7556.113058805466
Epoch 0 | Batch 47999/57412 | Loss: 0.203 | time 7588.91731262207
Epoch 0 | Batch 48199/57412 | Loss: 0.656 | time 7621.7098224163055
Epoch 0 | Batch 48399/57412 | Loss: 0.342 | time 7652.45804643631
Epoch 0 | Batch 48599/57412 | Loss: 0.490 | time 7684.414557218552
Epoch 0 | Batch 48799/57412 | Loss: 0.578 | time 7714.5440673828125
Epoch 0 | Batch 48999/57412 | Loss: 0.523 | time 7745.968569517136
Epoch 0 | Batch 49199/57412 | Loss: 0.395 | time 7777.735600948334
Epoch 0 | Batch 49399/57412 | Loss: 0.412 | time 7809.104473590851
Epoch 0 | Batch 49599/57412 | Loss: 0.455 | time 7841.569884061813
Epoch 0 | Batch 49799/57412 | Loss: 0.363 | time 7873.103636264801
Epoch 0 | Batch 49999/57412 | Loss: 0.467 | time 7961.14054107666
Epoch 0 | Batch 50199/57412 | Loss: 0.371 | time 8166.441297531128
Epoch 0 | Batch 50399/57412 | Loss: 0.453 | time 8338.242082595825
Epoch 0 | Batch 50599/57412 | Loss: 0.668 | time 8539.147276163101
Epoch 0 | Batch 50799/57412 | Loss: 0.338 | time 8765.954611063004
Epoch 0 | Batch 50999/57412 | Loss: 0.598 | time 8969.649329185486
Epoch 0 | Batch 51199/57412 | Loss: 0.578 | time 9164.943440437317
Epoch 0 | Batch 51399/57412 | Loss: 0.338 | time 9371.64292049408
Epoch 0 | Batch 51599/57412 | Loss: 0.445 | time 9568.950780630112
Epoch 0 | Batch 51799/57412 | Loss: 0.488 | time 9776.248650312424
Epoch 0 | Batch 51999/57412 | Loss: 0.605 | time 9982.638482809067
Epoch 0 | Batch 52199/57412 | Loss: 0.420 | time 10211.341567993164
Epoch 0 | Batch 52399/57412 | Loss: 0.410 | time 10425.847734928131
Epoch 0 | Batch 52599/57412 | Loss: 0.676 | time 10623.04669547081
Epoch 0 | Batch 52799/57412 | Loss: 0.178 | time 10852.94928741455
Epoch 0 | Batch 52999/57412 | Loss: 0.922 | time 11042.044689893723
Epoch 0 | Batch 53199/57412 | Loss: 0.477 | time 11176.149327516556
Epoch 0 | Batch 53399/57412 | Loss: 0.139 | time 11207.592563152313
Epoch 0 | Batch 53599/57412 | Loss: 0.268 | time 11238.896402835846
Epoch 0 | Batch 53799/57412 | Loss: 0.404 | time 11271.178521156311
Epoch 0 | Batch 53999/57412 | Loss: 0.228 | time 11304.374485969543
Epoch 0 | Batch 54199/57412 | Loss: 0.625 | time 11337.37831735611
Epoch 0 | Batch 54399/57412 | Loss: 0.551 | time 11369.792490720749
Epoch 0 | Batch 54599/57412 | Loss: 0.461 | time 11401.634493350983
Epoch 0 | Batch 54799/57412 | Loss: 0.432 | time 11432.654386758804
Epoch 0 | Batch 54999/57412 | Loss: 0.695 | time 11464.917536973953
Epoch 0 | Batch 55199/57412 | Loss: 0.363 | time 11497.278121232986
Epoch 0 | Batch 55399/57412 | Loss: 0.471 | time 11529.146153211594
Epoch 0 | Batch 55599/57412 | Loss: 0.426 | time 11561.416507959366
Epoch 0 | Batch 55799/57412 | Loss: 0.566 | time 11593.69018483162
Epoch 0 | Batch 55999/57412 | Loss: 0.086 | time 11625.144286870956
Epoch 0 | Batch 56199/57412 | Loss: 0.295 | time 11656.654731988907
Epoch 0 | Batch 56399/57412 | Loss: 0.128 | time 11687.733479261398
Epoch 0 | Batch 56599/57412 | Loss: 0.340 | time 11721.50745344162
Epoch 0 | Batch 56799/57412 | Loss: 0.475 | time 11752.127447843552
Epoch 0 | Batch 56999/57412 | Loss: 0.186 | time 11784.640654563904
Epoch 0 | Batch 57199/57412 | Loss: 0.396 | time 11816.231654882431
Epoch 0 | Batch 57399/57412 | Loss: 0.285 | time 11847.06483912468
=========================================================================================
=========================================================================================
=========================================================================================
Epoch 0 | Validation Samples 5082 | Validation Acc: 0.37682014954742227 | time 197.67006015777588
=========================================================================================
Saving at Epoch 0 | Learning rate: 2e-05
Epoch 1 | Batch 199/57412 | Loss: 0.218 | time 32.65859818458557
Epoch 1 | Batch 399/57412 | Loss: 0.155 | time 72.90507936477661
Epoch 1 | Batch 599/57412 | Loss: 0.254 | time 104.73433780670166
Epoch 1 | Batch 799/57412 | Loss: 0.188 | time 135.7795295715332
Epoch 1 | Batch 999/57412 | Loss: 0.324 | time 166.583083152771
Epoch 1 | Batch 1199/57412 | Loss: 0.387 | time 197.8758418560028
Epoch 1 | Batch 1399/57412 | Loss: 0.406 | time 230.8636736869812
Epoch 1 | Batch 1599/57412 | Loss: 0.252 | time 263.7517693042755
Epoch 1 | Batch 1799/57412 | Loss: 0.279 | time 294.523380279541
Epoch 1 | Batch 1999/57412 | Loss: 0.079 | time 325.6127953529358
Epoch 1 | Batch 2199/57412 | Loss: 0.158 | time 355.8994662761688
Epoch 1 | Batch 2399/57412 | Loss: 0.562 | time 386.067946434021
Epoch 1 | Batch 2599/57412 | Loss: 0.336 | time 418.79499101638794
Epoch 1 | Batch 2799/57412 | Loss: 0.287 | time 450.1995658874512
Epoch 1 | Batch 2999/57412 | Loss: 0.188 | time 482.1815679073334
Epoch 1 | Batch 3199/57412 | Loss: 0.434 | time 513.4551713466644
Epoch 1 | Batch 3399/57412 | Loss: 0.287 | time 545.4663639068604
Epoch 1 | Batch 3599/57412 | Loss: 0.410 | time 576.7929480075836
Epoch 1 | Batch 3799/57412 | Loss: 0.395 | time 608.5458841323853
Epoch 1 | Batch 3999/57412 | Loss: 0.188 | time 639.8558356761932
Epoch 1 | Batch 4199/57412 | Loss: 0.307 | time 670.4431931972504
Epoch 1 | Batch 4399/57412 | Loss: 0.621 | time 702.4707927703857
Epoch 1 | Batch 4599/57412 | Loss: 0.244 | time 734.3947017192841
Epoch 1 | Batch 4799/57412 | Loss: 0.355 | time 765.357723236084
Epoch 1 | Batch 4999/57412 | Loss: 0.473 | time 796.3035707473755
Epoch 1 | Batch 5199/57412 | Loss: 0.393 | time 828.2853150367737
Epoch 1 | Batch 5399/57412 | Loss: 0.346 | time 860.0586416721344
Epoch 1 | Batch 5599/57412 | Loss: 0.424 | time 891.4600236415863
Epoch 1 | Batch 5799/57412 | Loss: 0.367 | time 923.0887613296509
Epoch 1 | Batch 5999/57412 | Loss: 0.404 | time 954.6611588001251
Epoch 1 | Batch 6199/57412 | Loss: 0.432 | time 985.9256837368011
Epoch 1 | Batch 6399/57412 | Loss: 0.250 | time 1018.0130133628845
Epoch 1 | Batch 6599/57412 | Loss: 0.299 | time 1049.347902059555
Epoch 1 | Batch 6799/57412 | Loss: 0.408 | time 1081.8990678787231
Epoch 1 | Batch 6999/57412 | Loss: 0.461 | time 1113.1255180835724
Epoch 1 | Batch 7199/57412 | Loss: 0.309 | time 1143.8161039352417
Epoch 1 | Batch 7399/57412 | Loss: 0.334 | time 1175.3928558826447
Epoch 1 | Batch 7599/57412 | Loss: 0.516 | time 1207.1613144874573
Epoch 1 | Batch 7799/57412 | Loss: 0.707 | time 1238.5124833583832
Epoch 1 | Batch 7999/57412 | Loss: 0.527 | time 1269.2018253803253
Epoch 1 | Batch 8199/57412 | Loss: 0.199 | time 1301.0925483703613
Epoch 1 | Batch 8399/57412 | Loss: 0.471 | time 1332.6292543411255
Epoch 1 | Batch 8599/57412 | Loss: 0.277 | time 1364.6171379089355
Epoch 1 | Batch 8799/57412 | Loss: 0.527 | time 1398.2668793201447
Epoch 1 | Batch 8999/57412 | Loss: 0.357 | time 1430.4261448383331
Epoch 1 | Batch 9199/57412 | Loss: 0.609 | time 1462.6458432674408
Epoch 1 | Batch 9399/57412 | Loss: 0.463 | time 1495.248743057251
Epoch 1 | Batch 9599/57412 | Loss: 0.314 | time 1527.2963020801544
Epoch 1 | Batch 9799/57412 | Loss: 0.098 | time 1559.1374788284302
Epoch 1 | Batch 9999/57412 | Loss: 0.486 | time 1591.0637538433075
Epoch 1 | Batch 10199/57412 | Loss: 0.201 | time 1622.4953138828278
Epoch 1 | Batch 10399/57412 | Loss: 0.531 | time 1654.636476278305
Epoch 1 | Batch 10599/57412 | Loss: 0.359 | time 1685.1289484500885
Epoch 1 | Batch 10799/57412 | Loss: 0.207 | time 1716.885901927948
Epoch 1 | Batch 10999/57412 | Loss: 0.237 | time 1747.3651106357574
Epoch 1 | Batch 11199/57412 | Loss: 0.249 | time 1778.7563951015472
Epoch 1 | Batch 11399/57412 | Loss: 0.559 | time 1809.3922021389008
Epoch 1 | Batch 11599/57412 | Loss: 0.318 | time 1842.3481590747833
Epoch 1 | Batch 11799/57412 | Loss: 0.324 | time 1872.3031136989594
Epoch 1 | Batch 11999/57412 | Loss: 0.432 | time 1903.7787601947784
Epoch 1 | Batch 12199/57412 | Loss: 0.490 | time 1934.7356750965118
Epoch 1 | Batch 12399/57412 | Loss: 0.303 | time 1965.5833554267883
Epoch 1 | Batch 12599/57412 | Loss: 0.520 | time 1997.432341337204
Epoch 1 | Batch 12799/57412 | Loss: 0.229 | time 2027.9597833156586
Epoch 1 | Batch 12999/57412 | Loss: 0.539 | time 2059.1636667251587
Epoch 1 | Batch 13199/57412 | Loss: 0.144 | time 2090.1530072689056
Epoch 1 | Batch 13399/57412 | Loss: 0.416 | time 2121.935259580612
Epoch 1 | Batch 13599/57412 | Loss: 0.254 | time 2152.692244529724
Epoch 1 | Batch 13799/57412 | Loss: 0.422 | time 2183.8052077293396
Epoch 1 | Batch 13999/57412 | Loss: 0.256 | time 2213.876135110855
Epoch 1 | Batch 14199/57412 | Loss: 0.439 | time 2245.572636127472
Epoch 1 | Batch 14399/57412 | Loss: 0.207 | time 2276.854415655136
Epoch 1 | Batch 14599/57412 | Loss: 0.434 | time 2308.8066959381104
Epoch 1 | Batch 14799/57412 | Loss: 0.348 | time 2339.7033104896545
Epoch 1 | Batch 14999/57412 | Loss: 0.194 | time 2370.4395141601562
Epoch 1 | Batch 15199/57412 | Loss: 0.159 | time 2401.235864162445
Epoch 1 | Batch 15399/57412 | Loss: 0.443 | time 2433.569018125534
Epoch 1 | Batch 15599/57412 | Loss: 0.396 | time 2465.980343103409
Epoch 1 | Batch 15799/57412 | Loss: 0.365 | time 2497.2347741127014
Epoch 1 | Batch 15999/57412 | Loss: 0.309 | time 2527.1528737545013
Epoch 1 | Batch 16199/57412 | Loss: 0.127 | time 2558.480504989624
Epoch 1 | Batch 16399/57412 | Loss: 0.492 | time 2589.633011341095
Epoch 1 | Batch 16599/57412 | Loss: 0.379 | time 2621.504582643509
Epoch 1 | Batch 16799/57412 | Loss: 0.185 | time 2651.79815864563
Epoch 1 | Batch 16999/57412 | Loss: 0.455 | time 2682.92178440094
Epoch 1 | Batch 17199/57412 | Loss: 0.365 | time 2713.276827096939
Epoch 1 | Batch 17399/57412 | Loss: 0.091 | time 2743.924166917801
Epoch 1 | Batch 17599/57412 | Loss: 0.363 | time 2775.100697517395
Epoch 1 | Batch 17799/57412 | Loss: 0.095 | time 2805.9594349861145
Epoch 1 | Batch 17999/57412 | Loss: 0.426 | time 2835.6192543506622
Epoch 1 | Batch 18199/57412 | Loss: 0.334 | time 2866.0415546894073
Epoch 1 | Batch 18399/57412 | Loss: 0.125 | time 2899.7816047668457
Epoch 1 | Batch 18599/57412 | Loss: 0.404 | time 2930.9581615924835
Epoch 1 | Batch 18799/57412 | Loss: 0.428 | time 2962.5605113506317
Epoch 1 | Batch 18999/57412 | Loss: 0.551 | time 2993.1099383831024
Epoch 1 | Batch 19199/57412 | Loss: 0.467 | time 3023.3895828723907
Epoch 1 | Batch 19399/57412 | Loss: 0.193 | time 3054.810074329376
Epoch 1 | Batch 19599/57412 | Loss: 0.361 | time 3086.6585354804993
Epoch 1 | Batch 19799/57412 | Loss: 0.078 | time 3118.5964965820312
Epoch 1 | Batch 19999/57412 | Loss: 0.535 | time 3148.6952245235443
Epoch 1 | Batch 20199/57412 | Loss: 0.252 | time 3178.8724501132965
Epoch 1 | Batch 20399/57412 | Loss: 0.279 | time 3209.6726195812225
Epoch 1 | Batch 20599/57412 | Loss: 0.128 | time 3239.7414026260376
Epoch 1 | Batch 20799/57412 | Loss: 0.320 | time 3270.641021490097
Epoch 1 | Batch 20999/57412 | Loss: 0.436 | time 3302.831410884857
Epoch 1 | Batch 21199/57412 | Loss: 0.590 | time 3334.5087339878082
Epoch 1 | Batch 21399/57412 | Loss: 0.289 | time 3364.1592285633087
Epoch 1 | Batch 21599/57412 | Loss: 0.586 | time 3394.1751968860626
Epoch 1 | Batch 21799/57412 | Loss: 0.192 | time 3424.2475752830505
Epoch 1 | Batch 21999/57412 | Loss: 0.369 | time 3455.430704832077
Epoch 1 | Batch 22199/57412 | Loss: 0.418 | time 3485.3980219364166
Epoch 1 | Batch 22399/57412 | Loss: 0.430 | time 3516.2748160362244
Epoch 1 | Batch 22599/57412 | Loss: 0.068 | time 3547.9296679496765
Epoch 1 | Batch 22799/57412 | Loss: 0.322 | time 3578.7341980934143
Epoch 1 | Batch 22999/57412 | Loss: 0.547 | time 3610.305128097534
Epoch 1 | Batch 23199/57412 | Loss: 0.289 | time 3641.6858248710632
Epoch 1 | Batch 23399/57412 | Loss: 0.299 | time 3673.6113228797913
Epoch 1 | Batch 23599/57412 | Loss: 0.328 | time 3704.6071758270264
Epoch 1 | Batch 23799/57412 | Loss: 0.192 | time 3736.152239561081
Epoch 1 | Batch 23999/57412 | Loss: 0.379 | time 3766.3377618789673
Epoch 1 | Batch 24199/57412 | Loss: 0.328 | time 3797.878676891327
Epoch 1 | Batch 24399/57412 | Loss: 0.527 | time 3830.1054265499115
Epoch 1 | Batch 24599/57412 | Loss: 0.383 | time 3862.0455136299133
Epoch 1 | Batch 24799/57412 | Loss: 0.451 | time 3893.0178468227386
Epoch 1 | Batch 24999/57412 | Loss: 0.258 | time 3924.068505525589
Epoch 1 | Batch 25199/57412 | Loss: 0.203 | time 3955.181668281555
Epoch 1 | Batch 25399/57412 | Loss: 0.426 | time 3985.7524490356445
Epoch 1 | Batch 25599/57412 | Loss: 0.346 | time 4016.0363643169403
Epoch 1 | Batch 25799/57412 | Loss: 0.594 | time 4048.228210926056
Epoch 1 | Batch 25999/57412 | Loss: 0.119 | time 4079.893970489502
Epoch 1 | Batch 26199/57412 | Loss: 0.346 | time 4111.106977939606
Epoch 1 | Batch 26399/57412 | Loss: 0.348 | time 4141.62548661232
Epoch 1 | Batch 26599/57412 | Loss: 0.416 | time 4172.319007635117
Epoch 1 | Batch 26799/57412 | Loss: 0.412 | time 4203.066304445267
Epoch 1 | Batch 26999/57412 | Loss: 0.447 | time 4234.203010320663
Epoch 1 | Batch 27199/57412 | Loss: 0.438 | time 4266.187570095062
Epoch 1 | Batch 27399/57412 | Loss: 0.500 | time 4297.327773332596
Epoch 1 | Batch 27599/57412 | Loss: 0.486 | time 4327.731806278229
Epoch 1 | Batch 27799/57412 | Loss: 0.307 | time 4357.730825185776
Epoch 1 | Batch 27999/57412 | Loss: 0.676 | time 4389.102769851685
Epoch 1 | Batch 28199/57412 | Loss: 0.539 | time 4420.52539396286
Epoch 1 | Batch 28399/57412 | Loss: 0.430 | time 4452.544310569763
Epoch 1 | Batch 28599/57412 | Loss: 0.334 | time 4483.577361106873
Epoch 1 | Batch 28799/57412 | Loss: 0.535 | time 4512.715612649918
Epoch 1 | Batch 28999/57412 | Loss: 0.338 | time 4543.585159778595
Epoch 1 | Batch 29199/57412 | Loss: 0.354 | time 4575.375156879425
Epoch 1 | Batch 29399/57412 | Loss: 0.283 | time 4605.990077972412
Epoch 1 | Batch 29599/57412 | Loss: 0.383 | time 4637.09025478363
Epoch 1 | Batch 29799/57412 | Loss: 0.441 | time 4667.352920770645
Epoch 1 | Batch 29999/57412 | Loss: 0.598 | time 4697.289309263229
Epoch 1 | Batch 30199/57412 | Loss: 0.453 | time 4726.85186457634
Epoch 1 | Batch 30399/57412 | Loss: 0.311 | time 4759.102311134338
Epoch 1 | Batch 30599/57412 | Loss: 0.260 | time 4791.919140577316
Epoch 1 | Batch 30799/57412 | Loss: 0.484 | time 4823.031355142593
Epoch 1 | Batch 30999/57412 | Loss: 0.336 | time 4855.05566072464
Epoch 1 | Batch 31199/57412 | Loss: 0.396 | time 4886.995710134506
Epoch 1 | Batch 31399/57412 | Loss: 0.062 | time 4919.249237060547
Epoch 1 | Batch 31599/57412 | Loss: 0.605 | time 4951.134943246841
Epoch 1 | Batch 31799/57412 | Loss: 0.314 | time 4983.3398315906525
Epoch 1 | Batch 31999/57412 | Loss: 0.496 | time 5015.7880873680115
Epoch 1 | Batch 32199/57412 | Loss: 0.684 | time 5046.851244688034
Epoch 1 | Batch 32399/57412 | Loss: 0.208 | time 5077.882563114166
Epoch 1 | Batch 32599/57412 | Loss: 0.477 | time 5108.248592615128
Epoch 1 | Batch 32799/57412 | Loss: 0.578 | time 5140.690475940704
Epoch 1 | Batch 32999/57412 | Loss: 0.656 | time 5171.022783994675
Epoch 1 | Batch 33199/57412 | Loss: 0.484 | time 5202.476331710815
Epoch 1 | Batch 33399/57412 | Loss: 0.213 | time 5233.974482536316
Epoch 1 | Batch 33599/57412 | Loss: 0.307 | time 5265.30572104454
Epoch 1 | Batch 33799/57412 | Loss: 0.248 | time 5296.717623710632
Epoch 1 | Batch 33999/57412 | Loss: 0.434 | time 5328.668625354767
Epoch 1 | Batch 34199/57412 | Loss: 0.428 | time 5360.1534152030945
Epoch 1 | Batch 34399/57412 | Loss: 0.359 | time 5392.720351457596
Epoch 1 | Batch 34599/57412 | Loss: 0.531 | time 5425.774721860886
Epoch 1 | Batch 34799/57412 | Loss: 0.449 | time 5457.117215156555
Epoch 1 | Batch 34999/57412 | Loss: 0.742 | time 5490.001027107239
Epoch 1 | Batch 35199/57412 | Loss: 0.357 | time 5521.553533792496
Epoch 1 | Batch 35399/57412 | Loss: 0.256 | time 5553.87216424942
Epoch 1 | Batch 35599/57412 | Loss: 0.342 | time 5584.965455293655
Epoch 1 | Batch 35799/57412 | Loss: 0.547 | time 5616.234614133835
Epoch 1 | Batch 35999/57412 | Loss: 0.504 | time 5647.385253429413
Epoch 1 | Batch 36199/57412 | Loss: 0.112 | time 5679.265003442764
Epoch 1 | Batch 36399/57412 | Loss: 0.352 | time 5711.23783659935
Epoch 1 | Batch 36599/57412 | Loss: 0.254 | time 5742.463267564774
Epoch 1 | Batch 36799/57412 | Loss: 0.422 | time 5774.29844212532
Epoch 1 | Batch 36999/57412 | Loss: 0.143 | time 5806.553950071335
Epoch 1 | Batch 37199/57412 | Loss: 0.475 | time 5838.147458314896
Epoch 1 | Batch 37399/57412 | Loss: 0.260 | time 5870.462011814117
Epoch 1 | Batch 37599/57412 | Loss: 0.424 | time 5901.123777627945
Epoch 1 | Batch 37799/57412 | Loss: 0.377 | time 5932.230014324188
Epoch 1 | Batch 37999/57412 | Loss: 0.361 | time 5963.412914276123
Epoch 1 | Batch 38199/57412 | Loss: 0.026 | time 5996.441550731659
Epoch 1 | Batch 38399/57412 | Loss: 0.277 | time 6027.156714677811
Epoch 1 | Batch 38599/57412 | Loss: 0.229 | time 6057.795818328857
Epoch 1 | Batch 38799/57412 | Loss: 0.680 | time 6089.109960079193
Epoch 1 | Batch 38999/57412 | Loss: 0.516 | time 6121.550106525421
Epoch 1 | Batch 39199/57412 | Loss: 0.535 | time 6152.532798528671
Epoch 1 | Batch 39399/57412 | Loss: 0.393 | time 6184.42561674118
Epoch 1 | Batch 39599/57412 | Loss: 0.730 | time 6216.046438932419
Epoch 1 | Batch 39799/57412 | Loss: 0.586 | time 6248.14329123497
Epoch 1 | Batch 39999/57412 | Loss: 0.594 | time 6280.031205415726
Epoch 1 | Batch 40199/57412 | Loss: 0.016 | time 6312.35994386673
Epoch 1 | Batch 40399/57412 | Loss: 0.703 | time 6343.078814983368
Epoch 1 | Batch 40599/57412 | Loss: 0.344 | time 6374.831117153168
Epoch 1 | Batch 40799/57412 | Loss: 0.484 | time 6405.132255315781
Epoch 1 | Batch 40999/57412 | Loss: 0.297 | time 6437.344375371933
Epoch 1 | Batch 41199/57412 | Loss: 0.295 | time 6468.149948358536
Epoch 1 | Batch 41399/57412 | Loss: 0.369 | time 6500.652153253555
Epoch 1 | Batch 41599/57412 | Loss: 0.418 | time 6531.395104885101
Epoch 1 | Batch 41799/57412 | Loss: 0.242 | time 6564.067487239838
Epoch 1 | Batch 41999/57412 | Loss: 0.361 | time 6594.929235696793
Epoch 1 | Batch 42199/57412 | Loss: 0.289 | time 6628.355835914612
Epoch 1 | Batch 42399/57412 | Loss: 0.291 | time 6660.41774225235
Epoch 1 | Batch 42599/57412 | Loss: 0.539 | time 6692.120645999908
Epoch 1 | Batch 42799/57412 | Loss: 0.393 | time 6723.7522439956665
Epoch 1 | Batch 42999/57412 | Loss: 0.496 | time 6754.716736316681
Epoch 1 | Batch 43199/57412 | Loss: 0.342 | time 6787.509166240692
Epoch 1 | Batch 43399/57412 | Loss: 0.428 | time 6818.851082324982
Epoch 1 | Batch 43599/57412 | Loss: 0.389 | time 6851.377116918564
Epoch 1 | Batch 43799/57412 | Loss: 0.508 | time 6882.821612596512
Epoch 1 | Batch 43999/57412 | Loss: 0.590 | time 6914.05092716217
Epoch 1 | Batch 44199/57412 | Loss: 0.590 | time 6945.161712646484
Epoch 1 | Batch 44399/57412 | Loss: 0.414 | time 6977.52178311348
Epoch 1 | Batch 44599/57412 | Loss: 0.443 | time 7009.646784543991
Epoch 1 | Batch 44799/57412 | Loss: 0.379 | time 7040.455050706863
Epoch 1 | Batch 44999/57412 | Loss: 0.361 | time 7070.918886184692
Epoch 1 | Batch 45199/57412 | Loss: 0.486 | time 7102.405399799347
Epoch 1 | Batch 45399/57412 | Loss: 0.418 | time 7133.8440554142
Epoch 1 | Batch 45599/57412 | Loss: 0.486 | time 7166.247677326202
Epoch 1 | Batch 45799/57412 | Loss: 0.305 | time 7197.105365991592
Epoch 1 | Batch 45999/57412 | Loss: 0.189 | time 7228.531909942627
Epoch 1 | Batch 46199/57412 | Loss: 0.512 | time 7259.5865960121155
Epoch 1 | Batch 46399/57412 | Loss: 0.233 | time 7289.81947517395
Epoch 1 | Batch 46599/57412 | Loss: 0.326 | time 7322.464172840118
Epoch 1 | Batch 46799/57412 | Loss: 0.719 | time 7353.946398973465
Epoch 1 | Batch 46999/57412 | Loss: 0.396 | time 7385.7813675403595
Epoch 1 | Batch 47199/57412 | Loss: 0.318 | time 7417.1016664505005
Epoch 1 | Batch 47399/57412 | Loss: 0.416 | time 7447.191029310226
Epoch 1 | Batch 47599/57412 | Loss: 0.363 | time 7478.920161485672
Epoch 1 | Batch 47799/57412 | Loss: 0.344 | time 7509.923713445663
Epoch 1 | Batch 47999/57412 | Loss: 0.196 | time 7542.616143941879
Epoch 1 | Batch 48199/57412 | Loss: 0.641 | time 7575.528737545013
Epoch 1 | Batch 48399/57412 | Loss: 0.297 | time 7606.213932275772
Epoch 1 | Batch 48599/57412 | Loss: 0.412 | time 7638.203698158264
Epoch 1 | Batch 48799/57412 | Loss: 0.508 | time 7668.5315091609955
Epoch 1 | Batch 48999/57412 | Loss: 0.500 | time 7700.112348556519
Epoch 1 | Batch 49199/57412 | Loss: 0.363 | time 7731.838918209076
Epoch 1 | Batch 49399/57412 | Loss: 0.408 | time 7763.185717582703
Epoch 1 | Batch 49599/57412 | Loss: 0.420 | time 7795.73752450943
Epoch 1 | Batch 49799/57412 | Loss: 0.307 | time 7827.3614275455475
Epoch 1 | Batch 49999/57412 | Loss: 0.430 | time 7859.12916636467
Epoch 1 | Batch 50199/57412 | Loss: 0.324 | time 7891.092910528183
Epoch 1 | Batch 50399/57412 | Loss: 0.422 | time 7923.252783536911
Epoch 1 | Batch 50599/57412 | Loss: 0.574 | time 7954.940621137619
Epoch 1 | Batch 50799/57412 | Loss: 0.322 | time 7987.050063371658
Epoch 1 | Batch 50999/57412 | Loss: 0.586 | time 8019.98442196846
Epoch 1 | Batch 51199/57412 | Loss: 0.551 | time 8051.543674230576
Epoch 1 | Batch 51399/57412 | Loss: 0.328 | time 8084.395605325699
Epoch 1 | Batch 51599/57412 | Loss: 0.428 | time 8116.255799770355
Epoch 1 | Batch 51799/57412 | Loss: 0.461 | time 8147.8273413181305
Epoch 1 | Batch 51999/57412 | Loss: 0.590 | time 8179.7795288562775
Epoch 1 | Batch 52199/57412 | Loss: 0.406 | time 8213.266840696335
Epoch 1 | Batch 52399/57412 | Loss: 0.395 | time 8245.465239524841
Epoch 1 | Batch 52599/57412 | Loss: 0.621 | time 8277.880424261093
Epoch 1 | Batch 52799/57412 | Loss: 0.173 | time 8310.22445511818
Epoch 1 | Batch 52999/57412 | Loss: 0.680 | time 8341.372013092041
Epoch 1 | Batch 53199/57412 | Loss: 0.459 | time 8372.5663626194
Epoch 1 | Batch 53399/57412 | Loss: 0.138 | time 8404.160544157028
Epoch 1 | Batch 53599/57412 | Loss: 0.260 | time 8435.558668613434
Epoch 1 | Batch 53799/57412 | Loss: 0.371 | time 8467.89993429184
Epoch 1 | Batch 53999/57412 | Loss: 0.219 | time 8501.244361400604
Epoch 1 | Batch 54199/57412 | Loss: 0.473 | time 8534.451377868652
Epoch 1 | Batch 54399/57412 | Loss: 0.469 | time 8567.030091762543
Epoch 1 | Batch 54599/57412 | Loss: 0.434 | time 8598.989593744278
Epoch 1 | Batch 54799/57412 | Loss: 0.414 | time 8630.105968236923
Epoch 1 | Batch 54999/57412 | Loss: 0.652 | time 8662.470313549042
Epoch 1 | Batch 55199/57412 | Loss: 0.348 | time 8694.877258300781
Epoch 1 | Batch 55399/57412 | Loss: 0.441 | time 8726.844620466232
Epoch 1 | Batch 55599/57412 | Loss: 0.420 | time 8759.378637552261
Epoch 1 | Batch 55799/57412 | Loss: 0.555 | time 8791.83193230629
Epoch 1 | Batch 55999/57412 | Loss: 0.085 | time 8823.39197230339
Epoch 1 | Batch 56199/57412 | Loss: 0.289 | time 8855.040766477585
Epoch 1 | Batch 56399/57412 | Loss: 0.122 | time 8886.273962974548
Epoch 1 | Batch 56599/57412 | Loss: 0.332 | time 8920.197028636932
Epoch 1 | Batch 56799/57412 | Loss: 0.459 | time 8951.157407999039
Epoch 1 | Batch 56999/57412 | Loss: 0.183 | time 8983.786083221436
Epoch 1 | Batch 57199/57412 | Loss: 0.385 | time 9015.57422709465
Epoch 1 | Batch 57399/57412 | Loss: 0.260 | time 9046.46269083023
=========================================================================================
=========================================================================================
=========================================================================================
Epoch 1 | Validation Samples 5082 | Validation Acc: 0.43191656828020464 | time 209.92630219459534
=========================================================================================
Saving at Epoch 1 | Learning rate: 2e-05
Epoch 2 | Batch 199/57412 | Loss: 0.210 | time 32.510390520095825
Epoch 2 | Batch 399/57412 | Loss: 0.156 | time 64.40881633758545
Epoch 2 | Batch 599/57412 | Loss: 0.250 | time 96.23939943313599
Epoch 2 | Batch 799/57412 | Loss: 0.174 | time 127.30413699150085
Epoch 2 | Batch 999/57412 | Loss: 0.312 | time 158.33627319335938
Epoch 2 | Batch 1199/57412 | Loss: 0.385 | time 189.45754170417786
Epoch 2 | Batch 1399/57412 | Loss: 0.395 | time 222.38418769836426
Epoch 2 | Batch 1599/57412 | Loss: 0.249 | time 254.87038111686707
Epoch 2 | Batch 1799/57412 | Loss: 0.271 | time 285.21448826789856
Epoch 2 | Batch 1999/57412 | Loss: 0.070 | time 315.8647606372833
Epoch 2 | Batch 2199/57412 | Loss: 0.157 | time 345.77871656417847
Epoch 2 | Batch 2399/57412 | Loss: 0.551 | time 375.44175910949707
Epoch 2 | Batch 2599/57412 | Loss: 0.332 | time 407.8156588077545
Epoch 2 | Batch 2799/57412 | Loss: 0.273 | time 438.75733828544617
Epoch 2 | Batch 2999/57412 | Loss: 0.172 | time 470.4176027774811
Epoch 2 | Batch 3199/57412 | Loss: 0.424 | time 501.30337381362915
Epoch 2 | Batch 3399/57412 | Loss: 0.283 | time 532.9995844364166
Epoch 2 | Batch 3599/57412 | Loss: 0.412 | time 563.9385612010956
Epoch 2 | Batch 3799/57412 | Loss: 0.385 | time 595.2723126411438
Epoch 2 | Batch 3999/57412 | Loss: 0.187 | time 626.1780219078064
Epoch 2 | Batch 4199/57412 | Loss: 0.293 | time 656.2926025390625
Epoch 2 | Batch 4399/57412 | Loss: 0.613 | time 687.8029136657715
Epoch 2 | Batch 4599/57412 | Loss: 0.239 | time 719.3428204059601
Epoch 2 | Batch 4799/57412 | Loss: 0.352 | time 749.6951055526733
Epoch 2 | Batch 4999/57412 | Loss: 0.463 | time 779.8388075828552
Epoch 2 | Batch 5199/57412 | Loss: 0.383 | time 811.0921556949615
Epoch 2 | Batch 5399/57412 | Loss: 0.342 | time 842.2187695503235
Epoch 2 | Batch 5599/57412 | Loss: 0.420 | time 873.2069962024689
Epoch 2 | Batch 5799/57412 | Loss: 0.367 | time 903.897912979126
Epoch 2 | Batch 5999/57412 | Loss: 0.383 | time 934.8724782466888
Epoch 2 | Batch 6199/57412 | Loss: 0.426 | time 965.5077238082886
Epoch 2 | Batch 6399/57412 | Loss: 0.243 | time 996.9231584072113
Epoch 2 | Batch 6599/57412 | Loss: 0.299 | time 1027.5855479240417
Epoch 2 | Batch 6799/57412 | Loss: 0.398 | time 1059.4665937423706
Epoch 2 | Batch 6999/57412 | Loss: 0.461 | time 1090.0951375961304
Epoch 2 | Batch 7199/57412 | Loss: 0.303 | time 1120.3361039161682
Epoch 2 | Batch 7399/57412 | Loss: 0.322 | time 1151.0470371246338
Epoch 2 | Batch 7599/57412 | Loss: 0.488 | time 1182.1360292434692
Epoch 2 | Batch 7799/57412 | Loss: 0.578 | time 1212.5953714847565
Epoch 2 | Batch 7999/57412 | Loss: 0.504 | time 1242.550280570984
Epoch 2 | Batch 8199/57412 | Loss: 0.192 | time 1273.9133236408234
Epoch 2 | Batch 8399/57412 | Loss: 0.461 | time 1304.8408091068268
Epoch 2 | Batch 8599/57412 | Loss: 0.270 | time 1335.7854616641998
Epoch 2 | Batch 8799/57412 | Loss: 0.494 | time 1369.056292772293
Epoch 2 | Batch 8999/57412 | Loss: 0.314 | time 1400.6813898086548
Epoch 2 | Batch 9199/57412 | Loss: 0.590 | time 1432.265508890152
Epoch 2 | Batch 9399/57412 | Loss: 0.457 | time 1464.1930084228516
Epoch 2 | Batch 9599/57412 | Loss: 0.311 | time 1495.5399448871613
Epoch 2 | Batch 9799/57412 | Loss: 0.100 | time 1526.6901905536652
Epoch 2 | Batch 9999/57412 | Loss: 0.482 | time 1557.845803976059
Epoch 2 | Batch 10199/57412 | Loss: 0.197 | time 1588.5342671871185
Epoch 2 | Batch 10399/57412 | Loss: 0.523 | time 1620.1489732265472
Epoch 2 | Batch 10599/57412 | Loss: 0.354 | time 1649.9580881595612
Epoch 2 | Batch 10799/57412 | Loss: 0.192 | time 1681.0470550060272
Epoch 2 | Batch 10999/57412 | Loss: 0.238 | time 1710.8073925971985
Epoch 2 | Batch 11199/57412 | Loss: 0.244 | time 1741.6528375148773
Epoch 2 | Batch 11399/57412 | Loss: 0.539 | time 1772.2325963974
Epoch 2 | Batch 11599/57412 | Loss: 0.311 | time 1805.1458568572998
Epoch 2 | Batch 11799/57412 | Loss: 0.314 | time 1835.2506988048553
Epoch 2 | Batch 11999/57412 | Loss: 0.424 | time 1866.5294351577759
Epoch 2 | Batch 12199/57412 | Loss: 0.486 | time 1897.540700674057
Epoch 2 | Batch 12399/57412 | Loss: 0.248 | time 1928.4474189281464
Epoch 2 | Batch 12599/57412 | Loss: 0.490 | time 1960.362639427185
Epoch 2 | Batch 12799/57412 | Loss: 0.228 | time 1990.9415385723114
Epoch 2 | Batch 12999/57412 | Loss: 0.523 | time 2022.2978825569153
Epoch 2 | Batch 13199/57412 | Loss: 0.117 | time 2053.448310613632
Epoch 2 | Batch 13399/57412 | Loss: 0.402 | time 2085.6513061523438
Epoch 2 | Batch 13599/57412 | Loss: 0.246 | time 2116.3786132335663
Epoch 2 | Batch 13799/57412 | Loss: 0.422 | time 2147.741443634033
Epoch 2 | Batch 13999/57412 | Loss: 0.254 | time 2177.901295900345
Epoch 2 | Batch 14199/57412 | Loss: 0.426 | time 2209.6342346668243
Epoch 2 | Batch 14399/57412 | Loss: 0.203 | time 2240.9531528949738
Epoch 2 | Batch 14599/57412 | Loss: 0.428 | time 2272.8217482566833
Epoch 2 | Batch 14799/57412 | Loss: 0.340 | time 2303.827636241913
Epoch 2 | Batch 14999/57412 | Loss: 0.199 | time 2334.682320833206
Epoch 2 | Batch 15199/57412 | Loss: 0.151 | time 2365.4652349948883
Epoch 2 | Batch 15399/57412 | Loss: 0.438 | time 2397.811143875122
Epoch 2 | Batch 15599/57412 | Loss: 0.395 | time 2430.361756801605
Epoch 2 | Batch 15799/57412 | Loss: 0.350 | time 2461.599263906479
Epoch 2 | Batch 15999/57412 | Loss: 0.303 | time 2491.4976556301117
Epoch 2 | Batch 16199/57412 | Loss: 0.106 | time 2522.8120214939117
Epoch 2 | Batch 16399/57412 | Loss: 0.482 | time 2553.718023300171
Epoch 2 | Batch 16599/57412 | Loss: 0.371 | time 2585.387149810791
Epoch 2 | Batch 16799/57412 | Loss: 0.184 | time 2615.625059604645
Epoch 2 | Batch 16999/57412 | Loss: 0.438 | time 2646.719317674637
Epoch 2 | Batch 17199/57412 | Loss: 0.359 | time 2678.055701971054
Epoch 2 | Batch 17399/57412 | Loss: 0.087 | time 2708.6846244335175
Epoch 2 | Batch 17599/57412 | Loss: 0.359 | time 2739.8631896972656
Epoch 2 | Batch 17799/57412 | Loss: 0.095 | time 2770.7398171424866
Epoch 2 | Batch 17999/57412 | Loss: 0.400 | time 2800.6624751091003
Epoch 2 | Batch 18199/57412 | Loss: 0.330 | time 2830.8853714466095
Epoch 2 | Batch 18399/57412 | Loss: 0.122 | time 2865.5165894031525
Epoch 2 | Batch 18599/57412 | Loss: 0.398 | time 2896.6922352313995
Epoch 2 | Batch 18799/57412 | Loss: 0.426 | time 2928.3172335624695
Epoch 2 | Batch 18999/57412 | Loss: 0.531 | time 2958.9206187725067
Epoch 2 | Batch 19199/57412 | Loss: 0.463 | time 2989.4224860668182
Epoch 2 | Batch 19399/57412 | Loss: 0.187 | time 3021.3436229228973
Epoch 2 | Batch 19599/57412 | Loss: 0.354 | time 3053.873990058899
Epoch 2 | Batch 19799/57412 | Loss: 0.079 | time 3086.024003505707
Epoch 2 | Batch 19999/57412 | Loss: 0.520 | time 3116.367520570755
Epoch 2 | Batch 20199/57412 | Loss: 0.244 | time 3147.0396704673767
Epoch 2 | Batch 20399/57412 | Loss: 0.277 | time 3177.7464287281036
Epoch 2 | Batch 20599/57412 | Loss: 0.117 | time 3207.6955742836
Epoch 2 | Batch 20799/57412 | Loss: 0.314 | time 3238.508325576782
Epoch 2 | Batch 20999/57412 | Loss: 0.424 | time 3270.582810640335
Epoch 2 | Batch 21199/57412 | Loss: 0.566 | time 3302.023106098175
Epoch 2 | Batch 21399/57412 | Loss: 0.264 | time 3331.6228210926056
Epoch 2 | Batch 21599/57412 | Loss: 0.574 | time 3361.693947792053
Epoch 2 | Batch 21799/57412 | Loss: 0.193 | time 3391.7769191265106
Epoch 2 | Batch 21999/57412 | Loss: 0.357 | time 3422.8779973983765
Epoch 2 | Batch 22199/57412 | Loss: 0.410 | time 3452.769882440567
Epoch 2 | Batch 22399/57412 | Loss: 0.424 | time 3483.5080292224884
Epoch 2 | Batch 22599/57412 | Loss: 0.068 | time 3514.886513233185
Epoch 2 | Batch 22799/57412 | Loss: 0.289 | time 3545.5069921016693
Epoch 2 | Batch 22999/57412 | Loss: 0.543 | time 3576.8734414577484
Epoch 2 | Batch 23199/57412 | Loss: 0.270 | time 3608.199362754822
Epoch 2 | Batch 23399/57412 | Loss: 0.289 | time 3639.644097805023
Epoch 2 | Batch 23599/57412 | Loss: 0.320 | time 3670.1847269535065
Epoch 2 | Batch 23799/57412 | Loss: 0.188 | time 3701.222199678421
Epoch 2 | Batch 23999/57412 | Loss: 0.344 | time 3731.23681974411
Epoch 2 | Batch 24199/57412 | Loss: 0.318 | time 3763.233421087265
Epoch 2 | Batch 24399/57412 | Loss: 0.520 | time 3795.106896162033
Epoch 2 | Batch 24599/57412 | Loss: 0.377 | time 3827.524471282959
Epoch 2 | Batch 24799/57412 | Loss: 0.445 | time 3859.133701324463
Epoch 2 | Batch 24999/57412 | Loss: 0.256 | time 3890.897595643997
Epoch 2 | Batch 25199/57412 | Loss: 0.199 | time 3922.5443966388702
Epoch 2 | Batch 25399/57412 | Loss: 0.422 | time 3953.8310334682465
Epoch 2 | Batch 25599/57412 | Loss: 0.342 | time 3984.803139925003
Epoch 2 | Batch 25799/57412 | Loss: 0.590 | time 4017.7466678619385
Epoch 2 | Batch 25999/57412 | Loss: 0.116 | time 4049.017344236374
Epoch 2 | Batch 26199/57412 | Loss: 0.330 | time 4080.1167414188385
Epoch 2 | Batch 26399/57412 | Loss: 0.342 | time 4110.982337236404
Epoch 2 | Batch 26599/57412 | Loss: 0.404 | time 4142.1102685928345
Epoch 2 | Batch 26799/57412 | Loss: 0.396 | time 4173.331742048264
Epoch 2 | Batch 26999/57412 | Loss: 0.400 | time 4204.926193475723
Epoch 2 | Batch 27199/57412 | Loss: 0.432 | time 4237.374754905701
Epoch 2 | Batch 27399/57412 | Loss: 0.494 | time 4269.051743030548
Epoch 2 | Batch 27599/57412 | Loss: 0.473 | time 4300.050549507141
Epoch 2 | Batch 27799/57412 | Loss: 0.303 | time 4330.5738780498505
Epoch 2 | Batch 27999/57412 | Loss: 0.668 | time 4362.360284805298
Epoch 2 | Batch 28199/57412 | Loss: 0.512 | time 4394.254446268082
Epoch 2 | Batch 28399/57412 | Loss: 0.414 | time 4426.2804408073425
Epoch 2 | Batch 28599/57412 | Loss: 0.318 | time 4457.8952469825745
Epoch 2 | Batch 28799/57412 | Loss: 0.535 | time 4487.604132652283
Epoch 2 | Batch 28999/57412 | Loss: 0.330 | time 4519.006165266037
Epoch 2 | Batch 29199/57412 | Loss: 0.324 | time 4551.1944580078125
Epoch 2 | Batch 29399/57412 | Loss: 0.273 | time 4582.294443130493
Epoch 2 | Batch 29599/57412 | Loss: 0.381 | time 4613.8780727386475
Epoch 2 | Batch 29799/57412 | Loss: 0.359 | time 4644.128516197205
Epoch 2 | Batch 29999/57412 | Loss: 0.590 | time 4674.084179162979
Epoch 2 | Batch 30199/57412 | Loss: 0.447 | time 4703.70333313942
Epoch 2 | Batch 30399/57412 | Loss: 0.305 | time 4736.0709500312805
Epoch 2 | Batch 30599/57412 | Loss: 0.258 | time 4767.950715065002
Epoch 2 | Batch 30799/57412 | Loss: 0.479 | time 4798.237411022186
Epoch 2 | Batch 30999/57412 | Loss: 0.330 | time 4829.738329648972
Epoch 2 | Batch 31199/57412 | Loss: 0.094 | time 4860.860793352127
Epoch 2 | Batch 31399/57412 | Loss: 0.060 | time 4892.288812160492
Epoch 2 | Batch 31599/57412 | Loss: 0.590 | time 4923.039339065552
Epoch 2 | Batch 31799/57412 | Loss: 0.303 | time 4954.429031133652
Epoch 2 | Batch 31999/57412 | Loss: 0.459 | time 4986.51682972908
Epoch 2 | Batch 32199/57412 | Loss: 0.664 | time 5017.005938768387
Epoch 2 | Batch 32399/57412 | Loss: 0.198 | time 5047.622538566589
Epoch 2 | Batch 32599/57412 | Loss: 0.471 | time 5077.457518339157
Epoch 2 | Batch 32799/57412 | Loss: 0.566 | time 5109.158370733261
Epoch 2 | Batch 32999/57412 | Loss: 0.641 | time 5139.1367218494415
Epoch 2 | Batch 33199/57412 | Loss: 0.482 | time 5170.030426263809
Epoch 2 | Batch 33399/57412 | Loss: 0.194 | time 5200.694100379944
Epoch 2 | Batch 33599/57412 | Loss: 0.287 | time 5231.399820804596
Epoch 2 | Batch 33799/57412 | Loss: 0.240 | time 5262.1609218120575
Epoch 2 | Batch 33999/57412 | Loss: 0.426 | time 5293.460425853729
Epoch 2 | Batch 34199/57412 | Loss: 0.420 | time 5324.182660341263
Epoch 2 | Batch 34399/57412 | Loss: 0.354 | time 5356.083899974823
Epoch 2 | Batch 34599/57412 | Loss: 0.520 | time 5388.507787704468
Epoch 2 | Batch 34799/57412 | Loss: 0.434 | time 5419.212558269501
Epoch 2 | Batch 34999/57412 | Loss: 0.730 | time 5451.3805022239685
Epoch 2 | Batch 35199/57412 | Loss: 0.348 | time 5482.287810564041
Epoch 2 | Batch 35399/57412 | Loss: 0.256 | time 5513.84082365036
Epoch 2 | Batch 35599/57412 | Loss: 0.336 | time 5544.204668998718
Epoch 2 | Batch 35799/57412 | Loss: 0.527 | time 5574.8478791713715
Epoch 2 | Batch 35999/57412 | Loss: 0.500 | time 5605.400697469711
Epoch 2 | Batch 36199/57412 | Loss: 0.106 | time 5636.394456386566
Epoch 2 | Batch 36399/57412 | Loss: 0.334 | time 5667.668484926224
Epoch 2 | Batch 36599/57412 | Loss: 0.250 | time 5698.482403516769
Epoch 2 | Batch 36799/57412 | Loss: 0.414 | time 5729.507626056671
Epoch 2 | Batch 36999/57412 | Loss: 0.139 | time 5761.120709180832
Epoch 2 | Batch 37199/57412 | Loss: 0.469 | time 5792.0449368953705
Epoch 2 | Batch 37399/57412 | Loss: 0.248 | time 5823.877296924591
Epoch 2 | Batch 37599/57412 | Loss: 0.422 | time 5854.60216999054
Epoch 2 | Batch 37799/57412 | Loss: 0.375 | time 5885.765276432037
Epoch 2 | Batch 37999/57412 | Loss: 0.359 | time 5917.0325973033905
Epoch 2 | Batch 38199/57412 | Loss: 0.005 | time 5950.398200750351
Epoch 2 | Batch 38399/57412 | Loss: 0.273 | time 5980.977778673172
Epoch 2 | Batch 38599/57412 | Loss: 0.229 | time 6011.723731994629
Epoch 2 | Batch 38799/57412 | Loss: 0.641 | time 6042.808193683624
Epoch 2 | Batch 38999/57412 | Loss: 0.490 | time 6074.83637714386
Epoch 2 | Batch 39199/57412 | Loss: 0.494 | time 6105.313610315323
Epoch 2 | Batch 39399/57412 | Loss: 0.385 | time 6136.918185472488
Epoch 2 | Batch 39599/57412 | Loss: 0.723 | time 6168.214407205582
Epoch 2 | Batch 39799/57412 | Loss: 0.539 | time 6200.053479194641
Epoch 2 | Batch 39999/57412 | Loss: 0.582 | time 6231.5605273246765
Epoch 2 | Batch 40199/57412 | Loss: 0.006 | time 6263.494519710541
Epoch 2 | Batch 40399/57412 | Loss: 0.688 | time 6293.959712505341
Epoch 2 | Batch 40599/57412 | Loss: 0.338 | time 6325.29886507988
Epoch 2 | Batch 40799/57412 | Loss: 0.539 | time 6355.105600595474
Epoch 2 | Batch 40999/57412 | Loss: 0.291 | time 6386.899647474289
Epoch 2 | Batch 41199/57412 | Loss: 0.295 | time 6417.247850894928
Epoch 2 | Batch 41399/57412 | Loss: 0.365 | time 6449.344826698303
Epoch 2 | Batch 41599/57412 | Loss: 0.408 | time 6479.453006505966
Epoch 2 | Batch 41799/57412 | Loss: 0.188 | time 6511.496877908707
Epoch 2 | Batch 41999/57412 | Loss: 0.344 | time 6541.843181610107
Epoch 2 | Batch 42199/57412 | Loss: 0.281 | time 6574.74745965004
Epoch 2 | Batch 42399/57412 | Loss: 0.287 | time 6606.229708194733
Epoch 2 | Batch 42599/57412 | Loss: 0.531 | time 6637.522422790527
Epoch 2 | Batch 42799/57412 | Loss: 0.387 | time 6669.347218751907
Epoch 2 | Batch 42999/57412 | Loss: 0.438 | time 6699.483061075211
Epoch 2 | Batch 43199/57412 | Loss: 0.330 | time 6731.7991988658905
Epoch 2 | Batch 43399/57412 | Loss: 0.420 | time 6762.763458967209
Epoch 2 | Batch 43599/57412 | Loss: 0.385 | time 6794.857814311981
Epoch 2 | Batch 43799/57412 | Loss: 0.488 | time 6825.902725696564
Epoch 2 | Batch 43999/57412 | Loss: 0.582 | time 6856.669931411743
Epoch 2 | Batch 44199/57412 | Loss: 0.570 | time 6887.407665729523
Epoch 2 | Batch 44399/57412 | Loss: 0.406 | time 6919.5482494831085
Epoch 2 | Batch 44599/57412 | Loss: 0.436 | time 6951.304645776749
Epoch 2 | Batch 44799/57412 | Loss: 0.375 | time 6981.764338254929
Epoch 2 | Batch 44999/57412 | Loss: 0.332 | time 7011.908708810806
Epoch 2 | Batch 45199/57412 | Loss: 0.471 | time 7042.990247011185
Epoch 2 | Batch 45399/57412 | Loss: 0.398 | time 7073.982163667679
Epoch 2 | Batch 45599/57412 | Loss: 0.480 | time 7105.925400495529
Epoch 2 | Batch 45799/57412 | Loss: 0.303 | time 7136.373510599136
Epoch 2 | Batch 45999/57412 | Loss: 0.171 | time 7167.393126487732
Epoch 2 | Batch 46199/57412 | Loss: 0.508 | time 7198.073340177536
Epoch 2 | Batch 46399/57412 | Loss: 0.223 | time 7227.9098336696625
Epoch 2 | Batch 46599/57412 | Loss: 0.322 | time 7260.149614334106
Epoch 2 | Batch 46799/57412 | Loss: 0.703 | time 7291.223742246628
Epoch 2 | Batch 46999/57412 | Loss: 0.389 | time 7322.72638297081
Epoch 2 | Batch 47199/57412 | Loss: 0.311 | time 7353.578550338745
Epoch 2 | Batch 47399/57412 | Loss: 0.414 | time 7383.5575478076935
Epoch 2 | Batch 47599/57412 | Loss: 0.352 | time 7414.605003595352
Epoch 2 | Batch 47799/57412 | Loss: 0.338 | time 7445.15035867691
Epoch 2 | Batch 47999/57412 | Loss: 0.196 | time 7477.371632575989
Epoch 2 | Batch 48199/57412 | Loss: 0.637 | time 7509.624193191528
Epoch 2 | Batch 48399/57412 | Loss: 0.281 | time 7539.695809364319
Epoch 2 | Batch 48599/57412 | Loss: 0.373 | time 7570.973982334137
Epoch 2 | Batch 48799/57412 | Loss: 0.486 | time 7600.5629251003265
Epoch 2 | Batch 48999/57412 | Loss: 0.488 | time 7631.724160194397
Epoch 2 | Batch 49199/57412 | Loss: 0.354 | time 7662.638561010361
Epoch 2 | Batch 49399/57412 | Loss: 0.400 | time 7693.340758800507
Epoch 2 | Batch 49599/57412 | Loss: 0.410 | time 7725.206008911133
Epoch 2 | Batch 49799/57412 | Loss: 0.291 | time 7756.162380695343
Epoch 2 | Batch 49999/57412 | Loss: 0.416 | time 7787.302871704102
Epoch 2 | Batch 50199/57412 | Loss: 0.297 | time 7818.7355415821075
Epoch 2 | Batch 50399/57412 | Loss: 0.408 | time 7850.343177318573
Epoch 2 | Batch 50599/57412 | Loss: 0.531 | time 7881.3792407512665
Epoch 2 | Batch 50799/57412 | Loss: 0.314 | time 7912.849435806274
Epoch 2 | Batch 50999/57412 | Loss: 0.574 | time 7945.308453083038
Epoch 2 | Batch 51199/57412 | Loss: 0.539 | time 7976.384930849075
Epoch 2 | Batch 51399/57412 | Loss: 0.324 | time 8008.73700594902
Epoch 2 | Batch 51599/57412 | Loss: 0.416 | time 8040.123185157776
Epoch 2 | Batch 51799/57412 | Loss: 0.453 | time 8071.226343631744
Epoch 2 | Batch 51999/57412 | Loss: 0.582 | time 8102.547349452972
Epoch 2 | Batch 52199/57412 | Loss: 0.400 | time 8135.840449810028
Epoch 2 | Batch 52399/57412 | Loss: 0.383 | time 8167.842719078064
Epoch 2 | Batch 52599/57412 | Loss: 0.609 | time 8200.06648349762
Epoch 2 | Batch 52799/57412 | Loss: 0.167 | time 8232.160611391068
Epoch 2 | Batch 52999/57412 | Loss: 0.586 | time 8263.033247709274
Epoch 2 | Batch 53199/57412 | Loss: 0.451 | time 8293.990832805634
Epoch 2 | Batch 53399/57412 | Loss: 0.137 | time 8325.367258310318
Epoch 2 | Batch 53599/57412 | Loss: 0.256 | time 8356.78084564209
Epoch 2 | Batch 53799/57412 | Loss: 0.355 | time 8388.749456167221
Epoch 2 | Batch 53999/57412 | Loss: 0.212 | time 8421.939815759659
Epoch 2 | Batch 54199/57412 | Loss: 0.428 | time 8454.9319024086
Epoch 2 | Batch 54399/57412 | Loss: 0.438 | time 8487.302483558655
Epoch 2 | Batch 54599/57412 | Loss: 0.422 | time 8519.061642169952
Epoch 2 | Batch 54799/57412 | Loss: 0.406 | time 8549.91688489914
Epoch 2 | Batch 54999/57412 | Loss: 0.645 | time 8582.027492284775
Epoch 2 | Batch 55199/57412 | Loss: 0.340 | time 8614.575960159302
Epoch 2 | Batch 55399/57412 | Loss: 0.432 | time 8646.146384000778
Epoch 2 | Batch 55599/57412 | Loss: 0.414 | time 8678.358362674713
Epoch 2 | Batch 55799/57412 | Loss: 0.547 | time 8710.606946468353
Epoch 2 | Batch 55999/57412 | Loss: 0.084 | time 8741.985532045364
Epoch 2 | Batch 56199/57412 | Loss: 0.285 | time 8773.505170106888
Epoch 2 | Batch 56399/57412 | Loss: 0.116 | time 8804.620293140411
Epoch 2 | Batch 56599/57412 | Loss: 0.328 | time 8838.29386305809
Epoch 2 | Batch 56799/57412 | Loss: 0.457 | time 8868.973125219345
Epoch 2 | Batch 56999/57412 | Loss: 0.179 | time 8901.33969116211
Epoch 2 | Batch 57199/57412 | Loss: 0.379 | time 8932.983446598053
Epoch 2 | Batch 57399/57412 | Loss: 0.250 | time 8963.792992591858
=========================================================================================
=========================================================================================
=========================================================================================
Epoch 2 | Validation Samples 5082 | Validation Acc: 0.45828414010232194 | time 198.6080596446991
=========================================================================================
Saving at Epoch 2 | Learning rate: 2e-05
Epoch 3 | Batch 199/57412 | Loss: 0.211 | time 32.83053517341614
Epoch 3 | Batch 399/57412 | Loss: 0.157 | time 64.68361759185791
Epoch 3 | Batch 599/57412 | Loss: 0.243 | time 96.54236030578613
Epoch 3 | Batch 799/57412 | Loss: 0.172 | time 127.61488127708435
Epoch 3 | Batch 999/57412 | Loss: 0.311 | time 158.68399262428284
Epoch 3 | Batch 1199/57412 | Loss: 0.383 | time 189.71821355819702
Epoch 3 | Batch 1399/57412 | Loss: 0.391 | time 222.73589515686035
Epoch 3 | Batch 1599/57412 | Loss: 0.245 | time 255.68398427963257
Epoch 3 | Batch 1799/57412 | Loss: 0.270 | time 286.46838307380676
Epoch 3 | Batch 1999/57412 | Loss: 0.064 | time 317.68559670448303
Epoch 3 | Batch 2199/57412 | Loss: 0.155 | time 348.17397379875183
Epoch 3 | Batch 2399/57412 | Loss: 0.547 | time 378.7620847225189
Epoch 3 | Batch 2599/57412 | Loss: 0.328 | time 411.49612855911255
Epoch 3 | Batch 2799/57412 | Loss: 0.270 | time 443.0998604297638
Epoch 3 | Batch 2999/57412 | Loss: 0.169 | time 475.33150029182434
Epoch 3 | Batch 3199/57412 | Loss: 0.416 | time 506.6314740180969
Epoch 3 | Batch 3399/57412 | Loss: 0.281 | time 538.6738002300262
Epoch 3 | Batch 3599/57412 | Loss: 0.408 | time 570.01447057724
Epoch 3 | Batch 3799/57412 | Loss: 0.377 | time 601.7424683570862
Epoch 3 | Batch 3999/57412 | Loss: 0.187 | time 633.3551573753357
Epoch 3 | Batch 4199/57412 | Loss: 0.291 | time 663.8103485107422
Epoch 3 | Batch 4399/57412 | Loss: 0.613 | time 695.6472909450531
Epoch 3 | Batch 4599/57412 | Loss: 0.234 | time 727.6434819698334
Epoch 3 | Batch 4799/57412 | Loss: 0.350 | time 758.6679489612579
Epoch 3 | Batch 4999/57412 | Loss: 0.461 | time 789.4923396110535
Epoch 3 | Batch 5199/57412 | Loss: 0.383 | time 821.2078151702881
Epoch 3 | Batch 5399/57412 | Loss: 0.334 | time 852.7021868228912
Epoch 3 | Batch 5599/57412 | Loss: 0.420 | time 884.0705807209015
Epoch 3 | Batch 5799/57412 | Loss: 0.363 | time 915.2437245845795
Epoch 3 | Batch 5999/57412 | Loss: 0.375 | time 946.5322163105011
Epoch 3 | Batch 6199/57412 | Loss: 0.422 | time 977.5394399166107
Epoch 3 | Batch 6399/57412 | Loss: 0.242 | time 1009.332221031189
Epoch 3 | Batch 6599/57412 | Loss: 0.293 | time 1040.368975162506
Epoch 3 | Batch 6799/57412 | Loss: 0.393 | time 1072.2099990844727
Epoch 3 | Batch 6999/57412 | Loss: 0.459 | time 1102.8045773506165
Epoch 3 | Batch 7199/57412 | Loss: 0.301 | time 1133.0115854740143
Epoch 3 | Batch 7399/57412 | Loss: 0.318 | time 1163.6257684230804
Epoch 3 | Batch 7599/57412 | Loss: 0.479 | time 1194.7293486595154
Epoch 3 | Batch 7799/57412 | Loss: 0.094 | time 1225.2245509624481
Epoch 3 | Batch 7999/57412 | Loss: 0.498 | time 1255.175577878952
Epoch 3 | Batch 8199/57412 | Loss: 0.189 | time 1286.4159321784973
Epoch 3 | Batch 8399/57412 | Loss: 0.457 | time 1317.2910690307617
Epoch 3 | Batch 8599/57412 | Loss: 0.270 | time 1348.382375240326
Epoch 3 | Batch 8799/57412 | Loss: 0.484 | time 1381.3214337825775
Epoch 3 | Batch 8999/57412 | Loss: 0.287 | time 1412.9105517864227
Epoch 3 | Batch 9199/57412 | Loss: 0.582 | time 1444.461121559143
Epoch 3 | Batch 9399/57412 | Loss: 0.453 | time 1476.3277785778046
Epoch 3 | Batch 9599/57412 | Loss: 0.307 | time 1507.5510504245758
Epoch 3 | Batch 9799/57412 | Loss: 0.097 | time 1538.5918128490448
Epoch 3 | Batch 9999/57412 | Loss: 0.479 | time 1569.7197802066803
Epoch 3 | Batch 10199/57412 | Loss: 0.192 | time 1600.5430731773376
Epoch 3 | Batch 10399/57412 | Loss: 0.520 | time 1631.872796535492
Epoch 3 | Batch 10599/57412 | Loss: 0.354 | time 1661.545844078064
Epoch 3 | Batch 10799/57412 | Loss: 0.151 | time 1692.4994354248047
Epoch 3 | Batch 10999/57412 | Loss: 0.237 | time 1722.173706293106
Epoch 3 | Batch 11199/57412 | Loss: 0.241 | time 1753.303283214569
Epoch 3 | Batch 11399/57412 | Loss: 0.535 | time 1784.184865951538
Epoch 3 | Batch 11599/57412 | Loss: 0.303 | time 1817.0889945030212
Epoch 3 | Batch 11799/57412 | Loss: 0.307 | time 1847.245893239975
Epoch 3 | Batch 11999/57412 | Loss: 0.420 | time 1878.4777739048004
Epoch 3 | Batch 12199/57412 | Loss: 0.477 | time 1909.460469007492
Epoch 3 | Batch 12399/57412 | Loss: 0.228 | time 1940.2571506500244
Epoch 3 | Batch 12599/57412 | Loss: 0.473 | time 1972.062923192978
Epoch 3 | Batch 12799/57412 | Loss: 0.226 | time 2002.6147553920746
Epoch 3 | Batch 12999/57412 | Loss: 0.523 | time 2034.2900876998901
Epoch 3 | Batch 13199/57412 | Loss: 0.117 | time 2065.8212609291077
Epoch 3 | Batch 13399/57412 | Loss: 0.396 | time 2098.301149368286
Epoch 3 | Batch 13599/57412 | Loss: 0.244 | time 2129.334080219269
Epoch 3 | Batch 13799/57412 | Loss: 0.422 | time 2160.7529907226562
Epoch 3 | Batch 13999/57412 | Loss: 0.252 | time 2191.173186302185
Epoch 3 | Batch 14199/57412 | Loss: 0.422 | time 2223.2487173080444
Epoch 3 | Batch 14399/57412 | Loss: 0.200 | time 2254.8289942741394
Epoch 3 | Batch 14599/57412 | Loss: 0.424 | time 2287.014706850052
Epoch 3 | Batch 14799/57412 | Loss: 0.340 | time 2318.5096554756165
Epoch 3 | Batch 14999/57412 | Loss: 0.197 | time 2349.4306824207306
Epoch 3 | Batch 15199/57412 | Loss: 0.148 | time 2380.6325516700745
Epoch 3 | Batch 15399/57412 | Loss: 0.436 | time 2413.3056876659393
Epoch 3 | Batch 15599/57412 | Loss: 0.395 | time 2446.0772631168365
Epoch 3 | Batch 15799/57412 | Loss: 0.346 | time 2477.71794629097
Epoch 3 | Batch 15999/57412 | Loss: 0.303 | time 2507.980609178543
Epoch 3 | Batch 16199/57412 | Loss: 0.093 | time 2539.7729198932648
Epoch 3 | Batch 16399/57412 | Loss: 0.477 | time 2571.423812150955
Epoch 3 | Batch 16599/57412 | Loss: 0.367 | time 2603.135815382004
Epoch 3 | Batch 16799/57412 | Loss: 0.184 | time 2633.608700990677
Epoch 3 | Batch 16999/57412 | Loss: 0.428 | time 2665.318355321884
Epoch 3 | Batch 17199/57412 | Loss: 0.354 | time 2695.9121804237366
Epoch 3 | Batch 17399/57412 | Loss: 0.078 | time 2726.7895464897156
Epoch 3 | Batch 17599/57412 | Loss: 0.355 | time 2758.273957490921
Epoch 3 | Batch 17799/57412 | Loss: 0.094 | time 2789.427558660507
Epoch 3 | Batch 17999/57412 | Loss: 0.387 | time 2819.5099246501923
Epoch 3 | Batch 18199/57412 | Loss: 0.328 | time 2850.093427658081
Epoch 3 | Batch 18399/57412 | Loss: 0.116 | time 2884.1845111846924
Epoch 3 | Batch 18599/57412 | Loss: 0.396 | time 2915.6455857753754
Epoch 3 | Batch 18799/57412 | Loss: 0.426 | time 2947.445744752884
Epoch 3 | Batch 18999/57412 | Loss: 0.520 | time 2978.1955070495605
Epoch 3 | Batch 19199/57412 | Loss: 0.455 | time 3008.7071137428284
Epoch 3 | Batch 19399/57412 | Loss: 0.180 | time 3040.4312229156494
Epoch 3 | Batch 19599/57412 | Loss: 0.352 | time 3072.718888759613
Epoch 3 | Batch 19799/57412 | Loss: 0.077 | time 3104.5469110012054
Epoch 3 | Batch 19999/57412 | Loss: 0.516 | time 3134.8174381256104
Epoch 3 | Batch 20199/57412 | Loss: 0.243 | time 3165.3879420757294
Epoch 3 | Batch 20399/57412 | Loss: 0.275 | time 3196.4090003967285
Epoch 3 | Batch 20599/57412 | Loss: 0.114 | time 3226.5801346302032
Epoch 3 | Batch 20799/57412 | Loss: 0.311 | time 3257.8815743923187
Epoch 3 | Batch 20999/57412 | Loss: 0.422 | time 3290.441483259201
Epoch 3 | Batch 21199/57412 | Loss: 0.562 | time 3321.8602092266083
Epoch 3 | Batch 21399/57412 | Loss: 0.247 | time 3351.756324529648
Epoch 3 | Batch 21599/57412 | Loss: 0.570 | time 3382.040239095688
Epoch 3 | Batch 21799/57412 | Loss: 0.192 | time 3412.415560722351
Epoch 3 | Batch 21999/57412 | Loss: 0.355 | time 3443.854339122772
Epoch 3 | Batch 22199/57412 | Loss: 0.408 | time 3473.974098920822
Epoch 3 | Batch 22399/57412 | Loss: 0.422 | time 3505.0295004844666
Epoch 3 | Batch 22599/57412 | Loss: 0.069 | time 3536.964422225952
Epoch 3 | Batch 22799/57412 | Loss: 0.266 | time 3567.916222333908
Epoch 3 | Batch 22999/57412 | Loss: 0.535 | time 3599.978051662445
Epoch 3 | Batch 23199/57412 | Loss: 0.266 | time 3631.9439475536346
Epoch 3 | Batch 23399/57412 | Loss: 0.285 | time 3664.0805530548096
Epoch 3 | Batch 23599/57412 | Loss: 0.316 | time 3695.280314683914
Epoch 3 | Batch 23799/57412 | Loss: 0.182 | time 3727.1389169692993
Epoch 3 | Batch 23999/57412 | Loss: 0.311 | time 3757.7802283763885
Epoch 3 | Batch 24199/57412 | Loss: 0.316 | time 3789.975125312805
Epoch 3 | Batch 24399/57412 | Loss: 0.520 | time 3822.4930799007416
Epoch 3 | Batch 24599/57412 | Loss: 0.377 | time 3854.991135597229
Epoch 3 | Batch 24799/57412 | Loss: 0.445 | time 3886.337256669998
Epoch 3 | Batch 24999/57412 | Loss: 0.252 | time 3917.861015558243
Epoch 3 | Batch 25199/57412 | Loss: 0.197 | time 3949.3829526901245
Epoch 3 | Batch 25399/57412 | Loss: 0.418 | time 3980.461743593216
Epoch 3 | Batch 25599/57412 | Loss: 0.338 | time 4011.337274312973
Epoch 3 | Batch 25799/57412 | Loss: 0.586 | time 4044.267988681793
Epoch 3 | Batch 25999/57412 | Loss: 0.114 | time 4076.210268974304
Epoch 3 | Batch 26199/57412 | Loss: 0.312 | time 4107.8652555942535
Epoch 3 | Batch 26399/57412 | Loss: 0.338 | time 4138.861450910568
Epoch 3 | Batch 26599/57412 | Loss: 0.404 | time 4170.11238861084
Epoch 3 | Batch 26799/57412 | Loss: 0.385 | time 4201.325910329819
Epoch 3 | Batch 26999/57412 | Loss: 0.393 | time 4233.01998925209
Epoch 3 | Batch 27199/57412 | Loss: 0.432 | time 4265.64163184166
Epoch 3 | Batch 27399/57412 | Loss: 0.490 | time 4297.21212720871
Epoch 3 | Batch 27599/57412 | Loss: 0.463 | time 4328.253174543381
Epoch 3 | Batch 27799/57412 | Loss: 0.295 | time 4358.805309057236
Epoch 3 | Batch 27999/57412 | Loss: 0.668 | time 4390.593999862671
Epoch 3 | Batch 28199/57412 | Loss: 0.496 | time 4422.563543558121
Epoch 3 | Batch 28399/57412 | Loss: 0.414 | time 4455.273262500763
Epoch 3 | Batch 28599/57412 | Loss: 0.309 | time 4487.127650499344
Epoch 3 | Batch 28799/57412 | Loss: 0.531 | time 4517.263281583786
Epoch 3 | Batch 28999/57412 | Loss: 0.328 | time 4548.694815397263
Epoch 3 | Batch 29199/57412 | Loss: 0.307 | time 4581.158885478973
Epoch 3 | Batch 29399/57412 | Loss: 0.270 | time 4612.416335344315
Epoch 3 | Batch 29599/57412 | Loss: 0.381 | time 4644.228926897049
Epoch 3 | Batch 29799/57412 | Loss: 0.324 | time 4675.1114094257355
Epoch 3 | Batch 29999/57412 | Loss: 0.578 | time 4705.722615003586
Epoch 3 | Batch 30199/57412 | Loss: 0.447 | time 4735.984260797501
Epoch 3 | Batch 30399/57412 | Loss: 0.303 | time 4768.980543136597
Epoch 3 | Batch 30599/57412 | Loss: 0.258 | time 4801.426800966263
Epoch 3 | Batch 30799/57412 | Loss: 0.477 | time 4832.382478237152
Epoch 3 | Batch 30999/57412 | Loss: 0.322 | time 4863.50069642067
Epoch 3 | Batch 31199/57412 | Loss: 0.057 | time 4894.608677625656
Epoch 3 | Batch 31399/57412 | Loss: 0.060 | time 4926.325972318649
Epoch 3 | Batch 31599/57412 | Loss: 0.582 | time 4957.507076501846
Epoch 3 | Batch 31799/57412 | Loss: 0.299 | time 4989.25159573555
Epoch 3 | Batch 31999/57412 | Loss: 0.436 | time 5021.799805641174
Epoch 3 | Batch 32199/57412 | Loss: 0.652 | time 5052.745598554611
Epoch 3 | Batch 32399/57412 | Loss: 0.188 | time 5083.909175872803
Epoch 3 | Batch 32599/57412 | Loss: 0.467 | time 5114.3153212070465
Epoch 3 | Batch 32799/57412 | Loss: 0.551 | time 5146.500868320465
Epoch 3 | Batch 32999/57412 | Loss: 0.641 | time 5176.902145147324
Epoch 3 | Batch 33199/57412 | Loss: 0.477 | time 5208.2090311050415
Epoch 3 | Batch 33399/57412 | Loss: 0.188 | time 5239.605038404465
Epoch 3 | Batch 33599/57412 | Loss: 0.271 | time 5270.484668254852
Epoch 3 | Batch 33799/57412 | Loss: 0.235 | time 5301.593152999878
Epoch 3 | Batch 33999/57412 | Loss: 0.424 | time 5333.323726177216
Epoch 3 | Batch 34199/57412 | Loss: 0.418 | time 5364.614984035492
Epoch 3 | Batch 34399/57412 | Loss: 0.352 | time 5396.947203159332
Epoch 3 | Batch 34599/57412 | Loss: 0.516 | time 5429.83071064949
Epoch 3 | Batch 34799/57412 | Loss: 0.430 | time 5461.06506061554
Epoch 3 | Batch 34999/57412 | Loss: 0.723 | time 5493.963052988052
Epoch 3 | Batch 35199/57412 | Loss: 0.340 | time 5525.188972234726
Epoch 3 | Batch 35399/57412 | Loss: 0.254 | time 5557.321563243866
Epoch 3 | Batch 35599/57412 | Loss: 0.332 | time 5588.02924323082
Epoch 3 | Batch 35799/57412 | Loss: 0.527 | time 5619.058535575867
Epoch 3 | Batch 35999/57412 | Loss: 0.500 | time 5649.975808620453
Epoch 3 | Batch 36199/57412 | Loss: 0.103 | time 5681.398697853088
Epoch 3 | Batch 36399/57412 | Loss: 0.330 | time 5713.183656454086
Epoch 3 | Batch 36599/57412 | Loss: 0.248 | time 5744.409628152847
Epoch 3 | Batch 36799/57412 | Loss: 0.408 | time 5775.877205371857
Epoch 3 | Batch 36999/57412 | Loss: 0.136 | time 5807.903181552887
Epoch 3 | Batch 37199/57412 | Loss: 0.459 | time 5839.241530179977
Epoch 3 | Batch 37399/57412 | Loss: 0.241 | time 5871.415882110596
Epoch 3 | Batch 37599/57412 | Loss: 0.416 | time 5902.17439198494
Epoch 3 | Batch 37799/57412 | Loss: 0.377 | time 5933.355325222015
Epoch 3 | Batch 37999/57412 | Loss: 0.355 | time 5964.597725868225
Epoch 3 | Batch 38199/57412 | Loss: 0.008 | time 5997.809681892395
Epoch 3 | Batch 38399/57412 | Loss: 0.270 | time 6028.426978588104
Epoch 3 | Batch 38599/57412 | Loss: 0.226 | time 6059.240295410156
Epoch 3 | Batch 38799/57412 | Loss: 0.617 | time 6091.173905849457
Epoch 3 | Batch 38999/57412 | Loss: 0.479 | time 6123.671571016312
Epoch 3 | Batch 39199/57412 | Loss: 0.467 | time 6154.6170835494995
Epoch 3 | Batch 39399/57412 | Loss: 0.383 | time 6186.7334451675415
Epoch 3 | Batch 39599/57412 | Loss: 0.719 | time 6218.7521386146545
Epoch 3 | Batch 39799/57412 | Loss: 0.512 | time 6251.002076864243
Epoch 3 | Batch 39999/57412 | Loss: 0.582 | time 6282.960156440735
Epoch 3 | Batch 40199/57412 | Loss: 0.002 | time 6315.455872535706
Epoch 3 | Batch 40399/57412 | Loss: 0.684 | time 6346.331537485123
Epoch 3 | Batch 40599/57412 | Loss: 0.334 | time 6378.165076494217
Epoch 3 | Batch 40799/57412 | Loss: 0.645 | time 6408.616130590439
Epoch 3 | Batch 40999/57412 | Loss: 0.291 | time 6441.343377828598
Epoch 3 | Batch 41199/57412 | Loss: 0.295 | time 6472.408812522888
Epoch 3 | Batch 41399/57412 | Loss: 0.359 | time 6504.7294936180115
Epoch 3 | Batch 41599/57412 | Loss: 0.412 | time 6535.544132709503
Epoch 3 | Batch 41799/57412 | Loss: 0.190 | time 6568.034376621246
Epoch 3 | Batch 41999/57412 | Loss: 0.359 | time 6598.858052968979
Epoch 3 | Batch 42199/57412 | Loss: 0.287 | time 6632.252968788147
Epoch 3 | Batch 42399/57412 | Loss: 0.289 | time 6664.393617630005
Epoch 3 | Batch 42599/57412 | Loss: 0.527 | time 6696.137782096863
Epoch 3 | Batch 42799/57412 | Loss: 0.381 | time 6728.0043976306915
Epoch 3 | Batch 42999/57412 | Loss: 0.428 | time 6758.676851272583
Epoch 3 | Batch 43199/57412 | Loss: 0.324 | time 6791.532958030701
Epoch 3 | Batch 43399/57412 | Loss: 0.418 | time 6823.060454368591
Epoch 3 | Batch 43599/57412 | Loss: 0.383 | time 6855.727274656296
Epoch 3 | Batch 43799/57412 | Loss: 0.475 | time 6887.267836093903
Epoch 3 | Batch 43999/57412 | Loss: 0.578 | time 6918.538863182068
Epoch 3 | Batch 44199/57412 | Loss: 0.559 | time 6949.742941856384
Epoch 3 | Batch 44399/57412 | Loss: 0.404 | time 6982.332450389862
Epoch 3 | Batch 44599/57412 | Loss: 0.434 | time 7014.506956100464
Epoch 3 | Batch 44799/57412 | Loss: 0.379 | time 7045.384871721268
Epoch 3 | Batch 44999/57412 | Loss: 0.314 | time 7075.889555692673
Epoch 3 | Batch 45199/57412 | Loss: 0.463 | time 7107.443357467651
Epoch 3 | Batch 45399/57412 | Loss: 0.387 | time 7138.871784925461
Epoch 3 | Batch 45599/57412 | Loss: 0.477 | time 7171.656220674515
Epoch 3 | Batch 45799/57412 | Loss: 0.303 | time 7202.7359964847565
Epoch 3 | Batch 45999/57412 | Loss: 0.158 | time 7233.926866531372
Epoch 3 | Batch 46199/57412 | Loss: 0.494 | time 7265.086552143097
Epoch 3 | Batch 46399/57412 | Loss: 0.219 | time 7295.3773021698
Epoch 3 | Batch 46599/57412 | Loss: 0.322 | time 7328.108047008514
Epoch 3 | Batch 46799/57412 | Loss: 0.699 | time 7359.613566637039
Epoch 3 | Batch 46999/57412 | Loss: 0.391 | time 7391.527912855148
Epoch 3 | Batch 47199/57412 | Loss: 0.305 | time 7422.9585473537445
Epoch 3 | Batch 47399/57412 | Loss: 0.408 | time 7453.476768732071
Epoch 3 | Batch 47599/57412 | Loss: 0.348 | time 7485.021392583847
Epoch 3 | Batch 47799/57412 | Loss: 0.338 | time 7516.076320886612
Epoch 3 | Batch 47999/57412 | Loss: 0.194 | time 7548.700024604797
Epoch 3 | Batch 48199/57412 | Loss: 0.637 | time 7581.315721988678
Epoch 3 | Batch 48399/57412 | Loss: 0.273 | time 7611.778685569763
Epoch 3 | Batch 48599/57412 | Loss: 0.344 | time 7643.5540862083435
Epoch 3 | Batch 48799/57412 | Loss: 0.475 | time 7673.574267625809
Epoch 3 | Batch 48999/57412 | Loss: 0.482 | time 7705.099156141281
Epoch 3 | Batch 49199/57412 | Loss: 0.350 | time 7736.367396354675
Epoch 3 | Batch 49399/57412 | Loss: 0.396 | time 7767.463430643082
Epoch 3 | Batch 49599/57412 | Loss: 0.404 | time 7799.683622837067
Epoch 3 | Batch 49799/57412 | Loss: 0.283 | time 7831.064853429794
Epoch 3 | Batch 49999/57412 | Loss: 0.402 | time 7862.534993171692
Epoch 3 | Batch 50199/57412 | Loss: 0.287 | time 7894.257297754288
Epoch 3 | Batch 50399/57412 | Loss: 0.402 | time 7926.408423423767
Epoch 3 | Batch 50599/57412 | Loss: 0.508 | time 7957.565411806107
Epoch 3 | Batch 50799/57412 | Loss: 0.311 | time 7989.450431346893
Epoch 3 | Batch 50999/57412 | Loss: 0.570 | time 8022.056786775589
Epoch 3 | Batch 51199/57412 | Loss: 0.535 | time 8053.353101730347
Epoch 3 | Batch 51399/57412 | Loss: 0.320 | time 8086.0930688381195
Epoch 3 | Batch 51599/57412 | Loss: 0.420 | time 8117.5613923072815
Epoch 3 | Batch 51799/57412 | Loss: 0.447 | time 8148.357917308807
Epoch 3 | Batch 51999/57412 | Loss: 0.578 | time 8179.738664865494
Epoch 3 | Batch 52199/57412 | Loss: 0.395 | time 8212.567574977875
Epoch 3 | Batch 52399/57412 | Loss: 0.377 | time 8244.564680099487
Epoch 3 | Batch 52599/57412 | Loss: 0.602 | time 8276.511157035828
Epoch 3 | Batch 52799/57412 | Loss: 0.165 | time 8308.092817306519
Epoch 3 | Batch 52999/57412 | Loss: 0.531 | time 8338.441998243332
Epoch 3 | Batch 53199/57412 | Loss: 0.447 | time 8368.972764730453
Epoch 3 | Batch 53399/57412 | Loss: 0.136 | time 8399.820456027985
Epoch 3 | Batch 53599/57412 | Loss: 0.254 | time 8430.544531822205
Epoch 3 | Batch 53799/57412 | Loss: 0.348 | time 8461.967989683151
Epoch 3 | Batch 53999/57412 | Loss: 0.215 | time 8494.666599988937
Epoch 3 | Batch 54199/57412 | Loss: 0.402 | time 8527.112902641296
Epoch 3 | Batch 54399/57412 | Loss: 0.426 | time 8559.02660727501
Epoch 3 | Batch 54599/57412 | Loss: 0.400 | time 8590.21244764328
Epoch 3 | Batch 54799/57412 | Loss: 0.404 | time 8620.625754833221
Epoch 3 | Batch 54999/57412 | Loss: 0.633 | time 8652.2688601017
Epoch 3 | Batch 55199/57412 | Loss: 0.336 | time 8684.19329738617
Epoch 3 | Batch 55399/57412 | Loss: 0.426 | time 8715.48867225647
Epoch 3 | Batch 55599/57412 | Loss: 0.414 | time 8747.681482076645
Epoch 3 | Batch 55799/57412 | Loss: 0.547 | time 8779.976588249207
Epoch 3 | Batch 55999/57412 | Loss: 0.083 | time 8811.340613603592
Epoch 3 | Batch 56199/57412 | Loss: 0.281 | time 8843.138862371445
Epoch 3 | Batch 56399/57412 | Loss: 0.114 | time 8874.269835948944
Epoch 3 | Batch 56599/57412 | Loss: 0.328 | time 8908.230893850327
Epoch 3 | Batch 56799/57412 | Loss: 0.455 | time 8938.673367977142
Epoch 3 | Batch 56999/57412 | Loss: 0.178 | time 8971.00855255127
Epoch 3 | Batch 57199/57412 | Loss: 0.377 | time 9002.754682064056
Epoch 3 | Batch 57399/57412 | Loss: 0.249 | time 9033.652199029922
=========================================================================================
=========================================================================================
=========================================================================================
Epoch 3 | Validation Samples 5082 | Validation Acc: 0.46143250688705234 | time 193.84314274787903
=========================================================================================
Saving at Epoch 3 | Learning rate: 2e-05
Epoch 4 | Batch 199/57412 | Loss: 0.210 | time 32.04316568374634
Epoch 4 | Batch 399/57412 | Loss: 0.159 | time 63.54395794868469
Epoch 4 | Batch 599/57412 | Loss: 0.239 | time 94.9273087978363
Epoch 4 | Batch 799/57412 | Loss: 0.173 | time 125.72091102600098
Epoch 4 | Batch 999/57412 | Loss: 0.309 | time 156.12274146080017
Epoch 4 | Batch 1199/57412 | Loss: 0.385 | time 186.8051152229309
Epoch 4 | Batch 1399/57412 | Loss: 0.391 | time 219.40248370170593
Epoch 4 | Batch 1599/57412 | Loss: 0.246 | time 251.96513152122498
Epoch 4 | Batch 1799/57412 | Loss: 0.268 | time 282.322074174881
Epoch 4 | Batch 1999/57412 | Loss: 0.062 | time 313.1224000453949
Epoch 4 | Batch 2199/57412 | Loss: 0.153 | time 342.9519817829132
Epoch 4 | Batch 2399/57412 | Loss: 0.547 | time 372.9309301376343
Epoch 4 | Batch 2599/57412 | Loss: 0.326 | time 405.0483365058899
Epoch 4 | Batch 2799/57412 | Loss: 0.271 | time 435.9030954837799
Epoch 4 | Batch 2999/57412 | Loss: 0.169 | time 467.4591886997223
Epoch 4 | Batch 3199/57412 | Loss: 0.414 | time 498.21084785461426
Epoch 4 | Batch 3399/57412 | Loss: 0.283 | time 529.819137096405
Epoch 4 | Batch 3599/57412 | Loss: 0.410 | time 560.6041164398193
Epoch 4 | Batch 3799/57412 | Loss: 0.381 | time 591.8489663600922
Epoch 4 | Batch 3999/57412 | Loss: 0.188 | time 623.4080228805542
Epoch 4 | Batch 4199/57412 | Loss: 0.289 | time 653.4230453968048
Epoch 4 | Batch 4399/57412 | Loss: 0.617 | time 684.8508124351501
Epoch 4 | Batch 4599/57412 | Loss: 0.235 | time 716.4831440448761
Epoch 4 | Batch 4799/57412 | Loss: 0.348 | time 747.2317225933075
Epoch 4 | Batch 4999/57412 | Loss: 0.461 | time 777.8286607265472
Epoch 4 | Batch 5199/57412 | Loss: 0.377 | time 809.5511622428894
Epoch 4 | Batch 5399/57412 | Loss: 0.336 | time 841.3390066623688
Epoch 4 | Batch 5599/57412 | Loss: 0.420 | time 872.5567953586578
Epoch 4 | Batch 5799/57412 | Loss: 0.359 | time 903.6098330020905
Epoch 4 | Batch 5999/57412 | Loss: 0.367 | time 934.8660287857056
Epoch 4 | Batch 6199/57412 | Loss: 0.422 | time 965.887503862381
Epoch 4 | Batch 6399/57412 | Loss: 0.244 | time 997.6953446865082
Epoch 4 | Batch 6599/57412 | Loss: 0.295 | time 1028.8122217655182
Epoch 4 | Batch 6799/57412 | Loss: 0.391 | time 1061.1618959903717
Epoch 4 | Batch 6999/57412 | Loss: 0.461 | time 1092.443175792694
Epoch 4 | Batch 7199/57412 | Loss: 0.299 | time 1122.900738954544
Epoch 4 | Batch 7399/57412 | Loss: 0.314 | time 1153.992476940155
Epoch 4 | Batch 7599/57412 | Loss: 0.473 | time 1185.500925064087
Epoch 4 | Batch 7799/57412 | Loss: 0.059 | time 1216.4632859230042
Epoch 4 | Batch 7999/57412 | Loss: 0.486 | time 1246.9169414043427
Epoch 4 | Batch 8199/57412 | Loss: 0.188 | time 1278.5504121780396
Epoch 4 | Batch 8399/57412 | Loss: 0.459 | time 1309.8565065860748
Epoch 4 | Batch 8599/57412 | Loss: 0.268 | time 1341.543349981308
Epoch 4 | Batch 8799/57412 | Loss: 0.482 | time 1374.8771092891693
Epoch 4 | Batch 8999/57412 | Loss: 0.273 | time 1406.921353340149
Epoch 4 | Batch 9199/57412 | Loss: 0.578 | time 1439.0024070739746
Epoch 4 | Batch 9399/57412 | Loss: 0.453 | time 1471.384107351303
Epoch 4 | Batch 9599/57412 | Loss: 0.303 | time 1504.3774836063385
Epoch 4 | Batch 9799/57412 | Loss: 0.097 | time 1536.034590959549
Epoch 4 | Batch 9999/57412 | Loss: 0.479 | time 1567.7822949886322
Epoch 4 | Batch 10199/57412 | Loss: 0.194 | time 1599.2289187908173
Epoch 4 | Batch 10399/57412 | Loss: 0.516 | time 1631.0967257022858
Epoch 4 | Batch 10599/57412 | Loss: 0.352 | time 1661.304931640625
Epoch 4 | Batch 10799/57412 | Loss: 0.143 | time 1693.6156418323517
Epoch 4 | Batch 10999/57412 | Loss: 0.236 | time 1723.7858045101166
Epoch 4 | Batch 11199/57412 | Loss: 0.239 | time 1755.2847020626068
Epoch 4 | Batch 11399/57412 | Loss: 0.527 | time 1786.4997243881226
Epoch 4 | Batch 11599/57412 | Loss: 0.299 | time 1820.0409157276154
Epoch 4 | Batch 11799/57412 | Loss: 0.305 | time 1850.327914237976
Epoch 4 | Batch 11999/57412 | Loss: 0.418 | time 1881.907152891159
Epoch 4 | Batch 12199/57412 | Loss: 0.473 | time 1913.3898527622223
Epoch 4 | Batch 12399/57412 | Loss: 0.220 | time 1944.6549315452576
Epoch 4 | Batch 12599/57412 | Loss: 0.471 | time 1976.8493502140045
Epoch 4 | Batch 12799/57412 | Loss: 0.228 | time 2007.7521941661835
Epoch 4 | Batch 12999/57412 | Loss: 0.523 | time 2039.3798072338104
Epoch 4 | Batch 13199/57412 | Loss: 0.112 | time 2070.8884105682373
Epoch 4 | Batch 13399/57412 | Loss: 0.393 | time 2103.0045926570892
Epoch 4 | Batch 13599/57412 | Loss: 0.241 | time 2134.034827709198
Epoch 4 | Batch 13799/57412 | Loss: 0.420 | time 2165.4878540039062
Epoch 4 | Batch 13999/57412 | Loss: 0.249 | time 2195.915027141571
Epoch 4 | Batch 14199/57412 | Loss: 0.418 | time 2228.4738461971283
Epoch 4 | Batch 14399/57412 | Loss: 0.200 | time 2260.3484263420105
Epoch 4 | Batch 14599/57412 | Loss: 0.424 | time 2292.8303756713867
Epoch 4 | Batch 14799/57412 | Loss: 0.340 | time 2324.563408613205
Epoch 4 | Batch 14999/57412 | Loss: 0.199 | time 2355.5992629528046
Epoch 4 | Batch 15199/57412 | Loss: 0.146 | time 2386.9305288791656
Epoch 4 | Batch 15399/57412 | Loss: 0.430 | time 2419.6953456401825
Epoch 4 | Batch 15599/57412 | Loss: 0.393 | time 2452.557732820511
Epoch 4 | Batch 15799/57412 | Loss: 0.344 | time 2484.32754611969
Epoch 4 | Batch 15999/57412 | Loss: 0.303 | time 2514.8156328201294
Epoch 4 | Batch 16199/57412 | Loss: 0.087 | time 2546.696172475815
Epoch 4 | Batch 16399/57412 | Loss: 0.475 | time 2579.0883827209473
Epoch 4 | Batch 16599/57412 | Loss: 0.367 | time 2611.06413769722
Epoch 4 | Batch 16799/57412 | Loss: 0.182 | time 2641.9312756061554
Epoch 4 | Batch 16999/57412 | Loss: 0.418 | time 2673.6093487739563
Epoch 4 | Batch 17199/57412 | Loss: 0.350 | time 2704.5169332027435
Epoch 4 | Batch 17399/57412 | Loss: 0.078 | time 2735.7592606544495
Epoch 4 | Batch 17599/57412 | Loss: 0.355 | time 2767.503565788269
Epoch 4 | Batch 17799/57412 | Loss: 0.093 | time 2799.197063922882
Epoch 4 | Batch 17999/57412 | Loss: 0.375 | time 2829.3715291023254
Epoch 4 | Batch 18199/57412 | Loss: 0.328 | time 2860.1042375564575
Epoch 4 | Batch 18399/57412 | Loss: 0.124 | time 2894.20472073555
Epoch 4 | Batch 18599/57412 | Loss: 0.396 | time 2925.850692987442
Epoch 4 | Batch 18799/57412 | Loss: 0.424 | time 2957.884189605713
Epoch 4 | Batch 18999/57412 | Loss: 0.512 | time 2988.9381201267242
Epoch 4 | Batch 19199/57412 | Loss: 0.451 | time 3019.726212501526
Epoch 4 | Batch 19399/57412 | Loss: 0.176 | time 3051.8531250953674
Epoch 4 | Batch 19599/57412 | Loss: 0.350 | time 3084.1519272327423
Epoch 4 | Batch 19799/57412 | Loss: 0.070 | time 3116.302409887314
Epoch 4 | Batch 19999/57412 | Loss: 0.490 | time 3147.0592799186707
Epoch 4 | Batch 20199/57412 | Loss: 0.238 | time 3177.7203047275543
Epoch 4 | Batch 20399/57412 | Loss: 0.277 | time 3208.972767353058
Epoch 4 | Batch 20599/57412 | Loss: 0.100 | time 3239.437915325165
Epoch 4 | Batch 20799/57412 | Loss: 0.303 | time 3270.8766598701477
Epoch 4 | Batch 20999/57412 | Loss: 0.420 | time 3304.708163499832
Epoch 4 | Batch 21199/57412 | Loss: 0.555 | time 3336.4601171016693
Epoch 4 | Batch 21399/57412 | Loss: 0.240 | time 3366.4562859535217
Epoch 4 | Batch 21599/57412 | Loss: 0.566 | time 3396.8726556301117
Epoch 4 | Batch 21799/57412 | Loss: 0.190 | time 3427.418095111847
Epoch 4 | Batch 21999/57412 | Loss: 0.355 | time 3458.9664096832275
Epoch 4 | Batch 22199/57412 | Loss: 0.410 | time 3489.5867948532104
Epoch 4 | Batch 22399/57412 | Loss: 0.420 | time 3521.004955768585
Epoch 4 | Batch 22599/57412 | Loss: 0.068 | time 3553.5211260318756
Epoch 4 | Batch 22799/57412 | Loss: 0.252 | time 3584.7689037323
Epoch 4 | Batch 22999/57412 | Loss: 0.539 | time 3616.910096168518
Epoch 4 | Batch 23199/57412 | Loss: 0.266 | time 3648.712636947632
Epoch 4 | Batch 23399/57412 | Loss: 0.283 | time 3680.741309404373
Epoch 4 | Batch 23599/57412 | Loss: 0.314 | time 3711.94677400589
Epoch 4 | Batch 23799/57412 | Loss: 0.180 | time 3743.5963282585144
Epoch 4 | Batch 23999/57412 | Loss: 0.297 | time 3774.2953646183014
Epoch 4 | Batch 24199/57412 | Loss: 0.312 | time 3806.279058933258
Epoch 4 | Batch 24399/57412 | Loss: 0.516 | time 3838.7875480651855
Epoch 4 | Batch 24599/57412 | Loss: 0.377 | time 3871.4307341575623
Epoch 4 | Batch 24799/57412 | Loss: 0.441 | time 3902.3458256721497
Epoch 4 | Batch 24999/57412 | Loss: 0.254 | time 3933.324633359909
Epoch 4 | Batch 25199/57412 | Loss: 0.199 | time 3964.2426948547363
Epoch 4 | Batch 25399/57412 | Loss: 0.418 | time 3994.877151489258
Epoch 4 | Batch 25599/57412 | Loss: 0.338 | time 4025.3302018642426
Epoch 4 | Batch 25799/57412 | Loss: 0.582 | time 4057.3326230049133
Epoch 4 | Batch 25999/57412 | Loss: 0.113 | time 4088.6004796028137
Epoch 4 | Batch 26199/57412 | Loss: 0.309 | time 4119.623189687729
Epoch 4 | Batch 26399/57412 | Loss: 0.338 | time 4149.960513353348
Epoch 4 | Batch 26599/57412 | Loss: 0.398 | time 4180.572129249573
Epoch 4 | Batch 26799/57412 | Loss: 0.375 | time 4211.174247503281
Epoch 4 | Batch 26999/57412 | Loss: 0.387 | time 4242.224929332733
Epoch 4 | Batch 27199/57412 | Loss: 0.432 | time 4274.279219865799
Epoch 4 | Batch 27399/57412 | Loss: 0.488 | time 4305.16105389595
Epoch 4 | Batch 27599/57412 | Loss: 0.459 | time 4335.619199991226
Epoch 4 | Batch 27799/57412 | Loss: 0.291 | time 4366.032032012939
Epoch 4 | Batch 27999/57412 | Loss: 0.668 | time 4397.950877428055
Epoch 4 | Batch 28199/57412 | Loss: 0.490 | time 4429.721390724182
Epoch 4 | Batch 28399/57412 | Loss: 0.406 | time 4461.217923879623
Epoch 4 | Batch 28599/57412 | Loss: 0.301 | time 4492.319189548492
Epoch 4 | Batch 28799/57412 | Loss: 0.531 | time 4521.739915370941
Epoch 4 | Batch 28999/57412 | Loss: 0.324 | time 4552.501616477966
Epoch 4 | Batch 29199/57412 | Loss: 0.299 | time 4584.302493095398
Epoch 4 | Batch 29399/57412 | Loss: 0.271 | time 4614.882082700729
Epoch 4 | Batch 29599/57412 | Loss: 0.375 | time 4646.064893484116
Epoch 4 | Batch 29799/57412 | Loss: 0.305 | time 4676.329919338226
Epoch 4 | Batch 29999/57412 | Loss: 0.574 | time 4706.261496543884
Epoch 4 | Batch 30199/57412 | Loss: 0.447 | time 4736.11613368988
Epoch 4 | Batch 30399/57412 | Loss: 0.305 | time 4768.220214366913
Epoch 4 | Batch 30599/57412 | Loss: 0.254 | time 4800.073008060455
Epoch 4 | Batch 30799/57412 | Loss: 0.475 | time 4830.317524671555
Epoch 4 | Batch 30999/57412 | Loss: 0.328 | time 4861.440965652466
Epoch 4 | Batch 31199/57412 | Loss: 0.029 | time 4892.6606528759
Epoch 4 | Batch 31399/57412 | Loss: 0.059 | time 4924.813140630722
Epoch 4 | Batch 31599/57412 | Loss: 0.574 | time 4955.624139070511
Epoch 4 | Batch 31799/57412 | Loss: 0.291 | time 4987.187384366989
Epoch 4 | Batch 31999/57412 | Loss: 0.422 | time 5019.133015394211
Epoch 4 | Batch 32199/57412 | Loss: 0.641 | time 5049.68230175972
Epoch 4 | Batch 32399/57412 | Loss: 0.184 | time 5080.780970573425
Epoch 4 | Batch 32599/57412 | Loss: 0.463 | time 5111.108323812485
Epoch 4 | Batch 32799/57412 | Loss: 0.543 | time 5143.2330956459045
Epoch 4 | Batch 32999/57412 | Loss: 0.629 | time 5173.555448293686
Epoch 4 | Batch 33199/57412 | Loss: 0.471 | time 5204.863163232803
Epoch 4 | Batch 33399/57412 | Loss: 0.179 | time 5236.18508887291
Epoch 4 | Batch 33599/57412 | Loss: 0.247 | time 5267.081391096115
Epoch 4 | Batch 33799/57412 | Loss: 0.233 | time 5298.239329576492
Epoch 4 | Batch 33999/57412 | Loss: 0.424 | time 5329.9903564453125
Epoch 4 | Batch 34199/57412 | Loss: 0.420 | time 5361.153634309769
Epoch 4 | Batch 34399/57412 | Loss: 0.350 | time 5393.429354429245
Epoch 4 | Batch 34599/57412 | Loss: 0.512 | time 5426.349083900452
Epoch 4 | Batch 34799/57412 | Loss: 0.426 | time 5457.509204626083
Epoch 4 | Batch 34999/57412 | Loss: 0.719 | time 5490.290825843811
Epoch 4 | Batch 35199/57412 | Loss: 0.340 | time 5521.42347073555
Epoch 4 | Batch 35399/57412 | Loss: 0.254 | time 5553.482040166855
Epoch 4 | Batch 35599/57412 | Loss: 0.332 | time 5584.257529020309
Epoch 4 | Batch 35799/57412 | Loss: 0.520 | time 5615.274286031723
Epoch 4 | Batch 35999/57412 | Loss: 0.500 | time 5646.2167065143585
Epoch 4 | Batch 36199/57412 | Loss: 0.100 | time 5677.618327140808
Epoch 4 | Batch 36399/57412 | Loss: 0.324 | time 5709.631816148758
Epoch 4 | Batch 36599/57412 | Loss: 0.247 | time 5740.707335233688
Epoch 4 | Batch 36799/57412 | Loss: 0.406 | time 5772.202402114868
Epoch 4 | Batch 36999/57412 | Loss: 0.136 | time 5804.225983142853
Epoch 4 | Batch 37199/57412 | Loss: 0.463 | time 5835.588884592056
Epoch 4 | Batch 37399/57412 | Loss: 0.239 | time 5867.886470794678
Epoch 4 | Batch 37599/57412 | Loss: 0.414 | time 5898.7084147930145
Epoch 4 | Batch 37799/57412 | Loss: 0.375 | time 5929.91150021553
Epoch 4 | Batch 37999/57412 | Loss: 0.352 | time 5961.3778965473175
Epoch 4 | Batch 38199/57412 | Loss: 0.007 | time 5994.997710466385
Epoch 4 | Batch 38399/57412 | Loss: 0.270 | time 6025.999877691269
Epoch 4 | Batch 38599/57412 | Loss: 0.234 | time 6056.784542322159
Epoch 4 | Batch 38799/57412 | Loss: 0.598 | time 6088.197432279587
Epoch 4 | Batch 38999/57412 | Loss: 0.475 | time 6120.644594192505
Epoch 4 | Batch 39199/57412 | Loss: 0.447 | time 6151.587942123413
Epoch 4 | Batch 39399/57412 | Loss: 0.383 | time 6183.667731285095
Epoch 4 | Batch 39599/57412 | Loss: 0.715 | time 6215.6368889808655
Epoch 4 | Batch 39799/57412 | Loss: 0.498 | time 6247.778765439987
Epoch 4 | Batch 39999/57412 | Loss: 0.578 | time 6279.84547662735
Epoch 4 | Batch 40199/57412 | Loss: 0.004 | time 6312.425575256348
Epoch 4 | Batch 40399/57412 | Loss: 0.676 | time 6343.472576618195
Epoch 4 | Batch 40599/57412 | Loss: 0.326 | time 6375.274826049805
Epoch 4 | Batch 40799/57412 | Loss: 0.404 | time 6405.79986166954
Epoch 4 | Batch 40999/57412 | Loss: 0.287 | time 6438.422496318817
Epoch 4 | Batch 41199/57412 | Loss: 0.295 | time 6469.477937221527
Epoch 4 | Batch 41399/57412 | Loss: 0.361 | time 6501.945744037628
Epoch 4 | Batch 41599/57412 | Loss: 0.402 | time 6532.6660788059235
Epoch 4 | Batch 41799/57412 | Loss: 0.188 | time 6564.839512825012
Epoch 4 | Batch 41999/57412 | Loss: 0.330 | time 6595.210745096207
Epoch 4 | Batch 42199/57412 | Loss: 0.281 | time 6628.165393829346
Epoch 4 | Batch 42399/57412 | Loss: 0.285 | time 6659.669408559799
Epoch 4 | Batch 42599/57412 | Loss: 0.520 | time 6691.100747823715
Epoch 4 | Batch 42799/57412 | Loss: 0.371 | time 6722.370405197144
Epoch 4 | Batch 42999/57412 | Loss: 0.406 | time 6752.5444803237915
Epoch 4 | Batch 43199/57412 | Loss: 0.324 | time 6784.966638326645
Epoch 4 | Batch 43399/57412 | Loss: 0.412 | time 6815.955493211746
Epoch 4 | Batch 43599/57412 | Loss: 0.379 | time 6848.200779676437
Epoch 4 | Batch 43799/57412 | Loss: 0.473 | time 6879.27502322197
Epoch 4 | Batch 43999/57412 | Loss: 0.574 | time 6910.021561384201
Epoch 4 | Batch 44199/57412 | Loss: 0.551 | time 6940.990530729294
Epoch 4 | Batch 44399/57412 | Loss: 0.402 | time 6972.872357368469
Epoch 4 | Batch 44599/57412 | Loss: 0.432 | time 7004.578858375549
Epoch 4 | Batch 44799/57412 | Loss: 0.377 | time 7035.102736711502
Epoch 4 | Batch 44999/57412 | Loss: 0.295 | time 7065.272453546524
Epoch 4 | Batch 45199/57412 | Loss: 0.457 | time 7096.451011180878
Epoch 4 | Batch 45399/57412 | Loss: 0.379 | time 7127.842132568359
Epoch 4 | Batch 45599/57412 | Loss: 0.475 | time 7159.780319929123
Epoch 4 | Batch 45799/57412 | Loss: 0.301 | time 7190.506638050079
Epoch 4 | Batch 45999/57412 | Loss: 0.146 | time 7221.273304462433
Epoch 4 | Batch 46199/57412 | Loss: 0.492 | time 7251.860753774643
Epoch 4 | Batch 46399/57412 | Loss: 0.218 | time 7281.668188333511
Epoch 4 | Batch 46599/57412 | Loss: 0.318 | time 7313.84378027916
Epoch 4 | Batch 46799/57412 | Loss: 0.695 | time 7344.901052474976
Epoch 4 | Batch 46999/57412 | Loss: 0.387 | time 7376.352620124817
Epoch 4 | Batch 47199/57412 | Loss: 0.305 | time 7407.392320871353
Epoch 4 | Batch 47399/57412 | Loss: 0.406 | time 7437.009566068649
Epoch 4 | Batch 47599/57412 | Loss: 0.344 | time 7467.9222230911255
Epoch 4 | Batch 47799/57412 | Loss: 0.334 | time 7498.4175317287445
Epoch 4 | Batch 47999/57412 | Loss: 0.194 | time 7530.637786626816
Epoch 4 | Batch 48199/57412 | Loss: 0.629 | time 7562.785219907761
Epoch 4 | Batch 48399/57412 | Loss: 0.264 | time 7592.728795051575
Epoch 4 | Batch 48599/57412 | Loss: 0.328 | time 7624.033089876175
Epoch 4 | Batch 48799/57412 | Loss: 0.471 | time 7653.814408063889
Epoch 4 | Batch 48999/57412 | Loss: 0.473 | time 7684.677766799927
Epoch 4 | Batch 49199/57412 | Loss: 0.346 | time 7715.593809843063
Epoch 4 | Batch 49399/57412 | Loss: 0.396 | time 7746.236008882523
Epoch 4 | Batch 49599/57412 | Loss: 0.402 | time 7778.046972751617
Epoch 4 | Batch 49799/57412 | Loss: 0.279 | time 7809.00649356842
Epoch 4 | Batch 49999/57412 | Loss: 0.395 | time 7840.0913169384
Epoch 4 | Batch 50199/57412 | Loss: 0.275 | time 7871.395435094833
Epoch 4 | Batch 50399/57412 | Loss: 0.398 | time 7903.038649559021
Epoch 4 | Batch 50599/57412 | Loss: 0.488 | time 7933.85875082016
Epoch 4 | Batch 50799/57412 | Loss: 0.309 | time 7965.329717636108
Epoch 4 | Batch 50999/57412 | Loss: 0.570 | time 7997.576700210571
Epoch 4 | Batch 51199/57412 | Loss: 0.535 | time 8028.519024610519
Epoch 4 | Batch 51399/57412 | Loss: 0.320 | time 8060.694361209869
Epoch 4 | Batch 51599/57412 | Loss: 0.418 | time 8091.873754024506
Epoch 4 | Batch 51799/57412 | Loss: 0.445 | time 8122.778286933899
Epoch 4 | Batch 51999/57412 | Loss: 0.574 | time 8154.34317445755
Epoch 4 | Batch 52199/57412 | Loss: 0.393 | time 8187.111835479736
Epoch 4 | Batch 52399/57412 | Loss: 0.375 | time 8218.629640340805
Epoch 4 | Batch 52599/57412 | Loss: 0.594 | time 8250.328749418259
Epoch 4 | Batch 52799/57412 | Loss: 0.163 | time 8281.944747209549
Epoch 4 | Batch 52999/57412 | Loss: 0.492 | time 8312.31861281395
Epoch 4 | Batch 53199/57412 | Loss: 0.445 | time 8342.877344369888
Epoch 4 | Batch 53399/57412 | Loss: 0.136 | time 8373.898436069489
Epoch 4 | Batch 53599/57412 | Loss: 0.254 | time 8404.510044336319
Epoch 4 | Batch 53799/57412 | Loss: 0.340 | time 8436.015994787216
Epoch 4 | Batch 53999/57412 | Loss: 0.211 | time 8468.605387449265
Epoch 4 | Batch 54199/57412 | Loss: 0.381 | time 8500.973104000092
Epoch 4 | Batch 54399/57412 | Loss: 0.412 | time 8532.856483697891
Epoch 4 | Batch 54599/57412 | Loss: 0.398 | time 8564.023610830307
Epoch 4 | Batch 54799/57412 | Loss: 0.402 | time 8594.674673557281
Epoch 4 | Batch 54999/57412 | Loss: 0.625 | time 8626.777874946594
Epoch 4 | Batch 55199/57412 | Loss: 0.336 | time 8658.738448381424
Epoch 4 | Batch 55399/57412 | Loss: 0.420 | time 8690.007740974426
Epoch 4 | Batch 55599/57412 | Loss: 0.412 | time 8721.79955649376
Epoch 4 | Batch 55799/57412 | Loss: 0.547 | time 8753.647282838821
Epoch 4 | Batch 55999/57412 | Loss: 0.083 | time 8784.523544311523
Epoch 4 | Batch 56199/57412 | Loss: 0.281 | time 8815.513259887695
Epoch 4 | Batch 56399/57412 | Loss: 0.112 | time 8846.036011219025
Epoch 4 | Batch 56599/57412 | Loss: 0.326 | time 8879.457042694092
Epoch 4 | Batch 56799/57412 | Loss: 0.451 | time 8909.411131620407
Epoch 4 | Batch 56999/57412 | Loss: 0.178 | time 8941.251222133636
Epoch 4 | Batch 57199/57412 | Loss: 0.375 | time 8972.265861749649
Epoch 4 | Batch 57399/57412 | Loss: 0.244 | time 9002.898282289505
=========================================================================================
=========================================================================================
=========================================================================================
Epoch 4 | Validation Samples 5082 | Validation Acc: 0.47264856355765444 | time 202.87532353401184
=========================================================================================
Saving at Epoch 4 | Learning rate: 2e-05