Warmup Train [1][0/2134]	Time 39.031 (39.031)	Data 5.338 (5.338)	Loss 6.9529 (6.9529)	Top-1 acc 0.000 (0.000)	Top-5 acc 0.391 (0.391)	lr 0.05000
Warmup Train [1][10/2134]	Time 0.555 (4.333)	Data 0.002 (0.488)	Loss 6.6336 (6.7855)	Top-1 acc 1.562 (0.213)	Top-5 acc 2.344 (1.136)	lr 0.05000
Warmup Train [1][20/2134]	Time 0.716 (2.573)	Data 0.002 (0.260)	Loss 6.4347 (6.6658)	Top-1 acc 0.000 (0.186)	Top-5 acc 0.781 (0.874)	lr 0.05000
Warmup Train [1][30/2134]	Time 0.660 (1.951)	Data 0.002 (0.177)	Loss 6.4343 (6.5931)	Top-1 acc 0.000 (0.139)	Top-5 acc 1.562 (0.958)	lr 0.05000
Warmup Train [1][40/2134]	Time 0.505 (1.622)	Data 0.002 (0.135)	Loss 6.4036 (6.5488)	Top-1 acc 0.391 (0.143)	Top-5 acc 1.953 (1.058)	lr 0.05000
Warmup Train [1][50/2134]	Time 0.749 (1.425)	Data 0.002 (0.111)	Loss 6.3983 (6.5209)	Top-1 acc 0.391 (0.169)	Top-5 acc 1.172 (1.042)	lr 0.05000
Warmup Train [1][60/2134]	Time 0.680 (1.289)	Data 0.002 (0.094)	Loss 6.3922 (6.5047)	Top-1 acc 0.000 (0.154)	Top-5 acc 1.172 (1.031)	lr 0.05000
Warmup Train [1][70/2134]	Time 0.613 (1.195)	Data 0.002 (0.081)	Loss 6.3970 (6.4890)	Top-1 acc 0.391 (0.165)	Top-5 acc 0.781 (1.056)	lr 0.05000
Warmup Train [1][80/2134]	Time 0.526 (1.119)	Data 0.002 (0.072)	Loss 6.3847 (6.4754)	Top-1 acc 0.000 (0.164)	Top-5 acc 0.000 (1.090)	lr 0.05000
Warmup Train [1][90/2134]	Time 0.695 (1.067)	Data 0.002 (0.065)	Loss 6.4043 (6.4665)	Top-1 acc 0.000 (0.172)	Top-5 acc 1.172 (1.120)	lr 0.05000
Warmup Train [1][100/2134]	Time 0.448 (1.021)	Data 0.002 (0.059)	Loss 6.3938 (6.4583)	Top-1 acc 0.391 (0.178)	Top-5 acc 1.172 (1.106)	lr 0.05000
Warmup Train [1][110/2134]	Time 0.586 (0.987)	Data 0.002 (0.056)	Loss 6.4047 (6.4530)	Top-1 acc 0.391 (0.187)	Top-5 acc 0.391 (1.119)	lr 0.05000
Warmup Train [1][120/2134]	Time 0.665 (0.957)	Data 0.002 (0.051)	Loss 6.3379 (6.4467)	Top-1 acc 0.000 (0.194)	Top-5 acc 0.391 (1.153)	lr 0.05000
Warmup Train [1][130/2134]	Time 0.579 (0.931)	Data 0.004 (0.048)	Loss 6.3882 (6.4418)	Top-1 acc 0.391 (0.194)	Top-5 acc 1.953 (1.181)	lr 0.05000
Warmup Train [1][140/2134]	Time 0.630 (0.909)	Data 0.002 (0.045)	Loss 6.3567 (6.4369)	Top-1 acc 0.391 (0.199)	Top-5 acc 1.562 (1.191)	lr 0.05000
Warmup Train [1][150/2134]	Time 0.642 (0.892)	Data 0.002 (0.043)	Loss 6.3717 (6.4327)	Top-1 acc 0.000 (0.212)	Top-5 acc 1.953 (1.200)	lr 0.05000
Warmup Train [1][160/2134]	Time 0.681 (0.877)	Data 0.003 (0.040)	Loss 6.3480 (6.4285)	Top-1 acc 0.000 (0.206)	Top-5 acc 1.562 (1.196)	lr 0.05000
Warmup Train [1][170/2134]	Time 0.560 (0.862)	Data 0.002 (0.038)	Loss 6.3908 (6.4251)	Top-1 acc 0.391 (0.219)	Top-5 acc 1.953 (1.215)	lr 0.05000
Warmup Train [1][180/2134]	Time 0.682 (0.850)	Data 0.002 (0.036)	Loss 6.3696 (6.4218)	Top-1 acc 0.391 (0.222)	Top-5 acc 2.344 (1.234)	lr 0.05000
Warmup Train [1][190/2134]	Time 0.770 (0.837)	Data 0.002 (0.035)	Loss 6.3331 (6.4184)	Top-1 acc 0.781 (0.231)	Top-5 acc 1.953 (1.239)	lr 0.05000
Warmup Train [1][200/2134]	Time 0.562 (0.826)	Data 0.002 (0.033)	Loss 6.4051 (6.4156)	Top-1 acc 0.391 (0.243)	Top-5 acc 1.562 (1.257)	lr 0.05000
Warmup Train [1][210/2134]	Time 0.773 (0.817)	Data 0.002 (0.032)	Loss 6.3187 (6.4128)	Top-1 acc 0.781 (0.250)	Top-5 acc 1.562 (1.268)	lr 0.05000
Warmup Train [1][220/2134]	Time 0.547 (0.807)	Data 0.002 (0.031)	Loss 6.3410 (6.4105)	Top-1 acc 0.781 (0.253)	Top-5 acc 1.562 (1.276)	lr 0.05000
Warmup Train [1][230/2134]	Time 0.749 (0.799)	Data 0.002 (0.030)	Loss 6.4066 (6.4091)	Top-1 acc 0.391 (0.249)	Top-5 acc 1.172 (1.256)	lr 0.05000
Warmup Train [1][240/2134]	Time 0.670 (0.792)	Data 0.002 (0.029)	Loss 6.3790 (6.4069)	Top-1 acc 0.391 (0.250)	Top-5 acc 0.781 (1.258)	lr 0.05000
Warmup Train [1][250/2134]	Time 0.690 (0.785)	Data 0.002 (0.028)	Loss 6.3878 (6.4047)	Top-1 acc 0.000 (0.251)	Top-5 acc 0.000 (1.257)	lr 0.05000
Warmup Train [1][260/2134]	Time 0.645 (0.779)	Data 0.002 (0.027)	Loss 6.3939 (6.4031)	Top-1 acc 0.000 (0.254)	Top-5 acc 0.391 (1.257)	lr 0.05000
Warmup Train [1][270/2134]	Time 0.404 (0.773)	Data 0.002 (0.026)	Loss 6.3824 (6.4015)	Top-1 acc 0.391 (0.258)	Top-5 acc 1.172 (1.274)	lr 0.05000
Warmup Train [1][280/2134]	Time 0.685 (0.769)	Data 0.002 (0.026)	Loss 6.3672 (6.3999)	Top-1 acc 0.000 (0.260)	Top-5 acc 1.953 (1.301)	lr 0.05000
Warmup Train [1][290/2134]	Time 0.624 (0.765)	Data 0.004 (0.025)	Loss 6.2961 (6.3979)	Top-1 acc 0.000 (0.256)	Top-5 acc 3.125 (1.307)	lr 0.05000
Warmup Train [1][300/2134]	Time 0.740 (0.760)	Data 0.002 (0.025)	Loss 6.3695 (6.3963)	Top-1 acc 0.000 (0.250)	Top-5 acc 0.781 (1.307)	lr 0.05000
Warmup Train [1][310/2134]	Time 0.531 (0.757)	Data 0.002 (0.024)	Loss 6.2586 (6.3945)	Top-1 acc 0.391 (0.255)	Top-5 acc 1.953 (1.318)	lr 0.05000
Warmup Train [1][320/2134]	Time 0.657 (0.753)	Data 0.004 (0.024)	Loss 6.3555 (6.3933)	Top-1 acc 0.000 (0.254)	Top-5 acc 1.953 (1.324)	lr 0.05000
Warmup Train [1][330/2134]	Time 0.643 (0.748)	Data 0.002 (0.023)	Loss 6.3801 (6.3921)	Top-1 acc 0.781 (0.254)	Top-5 acc 0.781 (1.319)	lr 0.05000
Warmup Train [1][340/2134]	Time 0.769 (0.744)	Data 0.002 (0.023)	Loss 6.3327 (6.3911)	Top-1 acc 0.781 (0.255)	Top-5 acc 1.953 (1.324)	lr 0.05000
Warmup Train [1][350/2134]	Time 0.641 (0.740)	Data 0.002 (0.022)	Loss 6.3009 (6.3896)	Top-1 acc 0.781 (0.263)	Top-5 acc 2.734 (1.344)	lr 0.05000
Warmup Train [1][360/2134]	Time 0.669 (0.738)	Data 0.002 (0.021)	Loss 6.3676 (6.3885)	Top-1 acc 0.000 (0.267)	Top-5 acc 1.953 (1.359)	lr 0.05000
Warmup Train [1][370/2134]	Time 0.613 (0.735)	Data 0.003 (0.021)	Loss 6.3143 (6.3878)	Top-1 acc 0.391 (0.270)	Top-5 acc 2.734 (1.369)	lr 0.05000
Warmup Train [1][380/2134]	Time 0.611 (0.732)	Data 0.002 (0.021)	Loss 6.3296 (6.3869)	Top-1 acc 0.391 (0.272)	Top-5 acc 1.562 (1.368)	lr 0.05000
Warmup Train [1][390/2134]	Time 0.477 (0.729)	Data 0.002 (0.020)	Loss 6.3428 (6.3859)	Top-1 acc 0.391 (0.272)	Top-5 acc 1.562 (1.371)	lr 0.05000
Warmup Train [1][400/2134]	Time 0.681 (0.727)	Data 0.003 (0.020)	Loss 6.3717 (6.3849)	Top-1 acc 0.000 (0.281)	Top-5 acc 1.953 (1.390)	lr 0.05000
Warmup Train [1][410/2134]	Time 0.637 (0.724)	Data 0.002 (0.020)	Loss 6.4221 (6.3838)	Top-1 acc 0.391 (0.284)	Top-5 acc 1.953 (1.401)	lr 0.05000
Warmup Train [1][420/2134]	Time 0.653 (0.722)	Data 0.003 (0.019)	Loss 6.3370 (6.3830)	Top-1 acc 0.391 (0.291)	Top-5 acc 1.953 (1.421)	lr 0.05000
Warmup Train [1][430/2134]	Time 0.619 (0.720)	Data 0.003 (0.019)	Loss 6.3357 (6.3823)	Top-1 acc 0.000 (0.291)	Top-5 acc 1.953 (1.418)	lr 0.05000
Warmup Train [1][440/2134]	Time 0.737 (0.717)	Data 0.002 (0.019)	Loss 6.4017 (6.3816)	Top-1 acc 0.391 (0.291)	Top-5 acc 1.953 (1.424)	lr 0.05000
Warmup Train [1][450/2134]	Time 0.451 (0.715)	Data 0.002 (0.018)	Loss 6.3298 (6.3807)	Top-1 acc 0.781 (0.291)	Top-5 acc 1.562 (1.435)	lr 0.05000
Warmup Train [1][460/2134]	Time 0.743 (0.714)	Data 0.002 (0.018)	Loss 6.3375 (6.3802)	Top-1 acc 0.000 (0.293)	Top-5 acc 1.172 (1.436)	lr 0.05000
Warmup Train [1][470/2134]	Time 0.484 (0.711)	Data 0.003 (0.018)	Loss 6.3429 (6.3793)	Top-1 acc 0.391 (0.293)	Top-5 acc 2.344 (1.443)	lr 0.05000
Warmup Train [1][480/2134]	Time 0.610 (0.710)	Data 0.003 (0.018)	Loss 6.3648 (6.3787)	Top-1 acc 0.391 (0.294)	Top-5 acc 0.781 (1.447)	lr 0.05000
Warmup Train [1][490/2134]	Time 0.538 (0.708)	Data 0.002 (0.018)	Loss 6.3563 (6.3781)	Top-1 acc 0.391 (0.300)	Top-5 acc 1.172 (1.459)	lr 0.05000
Warmup Train [1][500/2134]	Time 0.595 (0.706)	Data 0.004 (0.018)	Loss 6.4141 (6.3772)	Top-1 acc 0.000 (0.301)	Top-5 acc 1.172 (1.467)	lr 0.05000
Warmup Train [1][510/2134]	Time 0.635 (0.705)	Data 0.002 (0.017)	Loss 6.3378 (6.3767)	Top-1 acc 0.391 (0.300)	Top-5 acc 1.562 (1.459)	lr 0.05000
Warmup Train [1][520/2134]	Time 0.714 (0.703)	Data 0.004 (0.017)	Loss 6.3496 (6.3764)	Top-1 acc 0.000 (0.301)	Top-5 acc 1.953 (1.464)	lr 0.05000
Warmup Train [1][530/2134]	Time 0.807 (0.702)	Data 0.002 (0.017)	Loss 6.3636 (6.3759)	Top-1 acc 0.391 (0.304)	Top-5 acc 1.172 (1.465)	lr 0.05000
Warmup Train [1][540/2134]	Time 0.516 (0.700)	Data 0.002 (0.017)	Loss 6.3045 (6.3754)	Top-1 acc 0.781 (0.307)	Top-5 acc 3.125 (1.463)	lr 0.05000
Warmup Train [1][550/2134]	Time 0.513 (0.700)	Data 0.003 (0.017)	Loss 6.3775 (6.3749)	Top-1 acc 0.781 (0.306)	Top-5 acc 1.562 (1.462)	lr 0.04999
Warmup Train [1][560/2134]	Time 0.724 (0.699)	Data 0.002 (0.017)	Loss 6.3474 (6.3745)	Top-1 acc 0.000 (0.306)	Top-5 acc 1.562 (1.463)	lr 0.04999
Warmup Train [1][570/2134]	Time 0.584 (0.698)	Data 0.003 (0.017)	Loss 6.3466 (6.3738)	Top-1 acc 0.781 (0.307)	Top-5 acc 1.953 (1.464)	lr 0.04999
Warmup Train [1][580/2134]	Time 0.593 (0.697)	Data 0.002 (0.017)	Loss 6.3524 (6.3733)	Top-1 acc 0.391 (0.306)	Top-5 acc 1.953 (1.464)	lr 0.04999
Warmup Train [1][590/2134]	Time 0.553 (0.695)	Data 0.002 (0.016)	Loss 6.3362 (6.3725)	Top-1 acc 0.000 (0.308)	Top-5 acc 2.734 (1.471)	lr 0.04999
Warmup Train [1][600/2134]	Time 0.675 (0.694)	Data 0.002 (0.016)	Loss 6.3521 (6.3720)	Top-1 acc 0.000 (0.309)	Top-5 acc 1.172 (1.477)	lr 0.04999
Warmup Train [1][610/2134]	Time 0.471 (0.692)	Data 0.002 (0.016)	Loss 6.3233 (6.3715)	Top-1 acc 0.391 (0.309)	Top-5 acc 1.172 (1.477)	lr 0.04999
Warmup Train [1][620/2134]	Time 0.534 (0.691)	Data 0.002 (0.016)	Loss 6.3349 (6.3710)	Top-1 acc 0.000 (0.310)	Top-5 acc 2.734 (1.478)	lr 0.04999
Warmup Train [1][630/2134]	Time 0.687 (0.690)	Data 0.002 (0.016)	Loss 6.3655 (6.3704)	Top-1 acc 0.391 (0.310)	Top-5 acc 1.953 (1.484)	lr 0.04999
Warmup Train [1][640/2134]	Time 0.528 (0.689)	Data 0.002 (0.016)	Loss 6.3549 (6.3699)	Top-1 acc 0.391 (0.312)	Top-5 acc 2.734 (1.499)	lr 0.04999
Warmup Train [1][650/2134]	Time 0.774 (0.688)	Data 0.003 (0.016)	Loss 6.2880 (6.3692)	Top-1 acc 0.781 (0.317)	Top-5 acc 1.562 (1.510)	lr 0.04999
Warmup Train [1][660/2134]	Time 0.685 (0.687)	Data 0.002 (0.016)	Loss 6.3125 (6.3689)	Top-1 acc 0.391 (0.319)	Top-5 acc 1.562 (1.508)	lr 0.04999
Warmup Train [1][670/2134]	Time 0.642 (0.686)	Data 0.006 (0.016)	Loss 6.3637 (6.3685)	Top-1 acc 0.391 (0.320)	Top-5 acc 0.781 (1.509)	lr 0.04999
Warmup Train [1][680/2134]	Time 0.796 (0.686)	Data 0.002 (0.016)	Loss 6.2837 (6.3678)	Top-1 acc 0.391 (0.322)	Top-5 acc 3.906 (1.517)	lr 0.04999
Warmup Train [1][690/2134]	Time 0.598 (0.685)	Data 0.002 (0.015)	Loss 6.3501 (6.3674)	Top-1 acc 0.781 (0.323)	Top-5 acc 2.344 (1.520)	lr 0.04999
Warmup Train [1][700/2134]	Time 0.738 (0.684)	Data 0.002 (0.015)	Loss 6.2889 (6.3671)	Top-1 acc 0.391 (0.322)	Top-5 acc 1.172 (1.516)	lr 0.04999
Warmup Train [1][710/2134]	Time 0.427 (0.683)	Data 0.002 (0.015)	Loss 6.3617 (6.3667)	Top-1 acc 0.391 (0.324)	Top-5 acc 1.953 (1.521)	lr 0.04999
Warmup Train [1][720/2134]	Time 0.520 (0.682)	Data 0.002 (0.015)	Loss 6.3337 (6.3661)	Top-1 acc 1.172 (0.327)	Top-5 acc 3.516 (1.525)	lr 0.04999
Warmup Train [1][730/2134]	Time 0.712 (0.682)	Data 0.002 (0.015)	Loss 6.3127 (6.3657)	Top-1 acc 0.000 (0.328)	Top-5 acc 1.172 (1.526)	lr 0.04999
Warmup Train [1][740/2134]	Time 0.587 (0.681)	Data 0.004 (0.015)	Loss 6.3504 (6.3654)	Top-1 acc 0.391 (0.327)	Top-5 acc 1.562 (1.530)	lr 0.04999
Warmup Train [1][750/2134]	Time 0.521 (0.680)	Data 0.002 (0.015)	Loss 6.3092 (6.3648)	Top-1 acc 1.172 (0.327)	Top-5 acc 1.562 (1.529)	lr 0.04999
Warmup Train [1][760/2134]	Time 0.561 (0.679)	Data 0.002 (0.015)	Loss 6.3418 (6.3644)	Top-1 acc 0.000 (0.326)	Top-5 acc 1.953 (1.538)	lr 0.04999
Warmup Train [1][770/2134]	Time 0.742 (0.679)	Data 0.002 (0.015)	Loss 6.3566 (6.3640)	Top-1 acc 0.391 (0.327)	Top-5 acc 0.781 (1.539)	lr 0.04999
Warmup Train [1][780/2134]	Time 0.633 (0.678)	Data 0.002 (0.015)	Loss 6.3244 (6.3638)	Top-1 acc 0.391 (0.328)	Top-5 acc 2.344 (1.544)	lr 0.04999
Warmup Train [1][790/2134]	Time 0.644 (0.678)	Data 0.002 (0.014)	Loss 6.3417 (6.3633)	Top-1 acc 0.391 (0.328)	Top-5 acc 1.562 (1.548)	lr 0.04999
Warmup Train [1][800/2134]	Time 0.467 (0.677)	Data 0.002 (0.014)	Loss 6.3099 (6.3629)	Top-1 acc 1.172 (0.327)	Top-5 acc 5.078 (1.559)	lr 0.04999
Warmup Train [1][810/2134]	Time 0.568 (0.676)	Data 0.002 (0.014)	Loss 6.3233 (6.3625)	Top-1 acc 0.391 (0.327)	Top-5 acc 1.172 (1.561)	lr 0.04999
Warmup Train [1][820/2134]	Time 0.554 (0.676)	Data 0.002 (0.014)	Loss 6.3456 (6.3621)	Top-1 acc 0.391 (0.328)	Top-5 acc 0.781 (1.563)	lr 0.04999
Warmup Train [1][830/2134]	Time 0.664 (0.675)	Data 0.002 (0.014)	Loss 6.3520 (6.3619)	Top-1 acc 0.391 (0.327)	Top-5 acc 1.562 (1.562)	lr 0.04999
Warmup Train [1][840/2134]	Time 0.703 (0.674)	Data 0.002 (0.014)	Loss 6.3148 (6.3615)	Top-1 acc 0.391 (0.325)	Top-5 acc 2.734 (1.562)	lr 0.04999
Warmup Train [1][850/2134]	Time 0.727 (0.674)	Data 0.002 (0.014)	Loss 6.3061 (6.3613)	Top-1 acc 0.000 (0.323)	Top-5 acc 1.953 (1.557)	lr 0.04999
Warmup Train [1][860/2134]	Time 0.768 (0.673)	Data 0.006 (0.014)	Loss 6.2969 (6.3608)	Top-1 acc 0.000 (0.326)	Top-5 acc 1.953 (1.564)	lr 0.04999
Warmup Train [1][870/2134]	Time 0.623 (0.673)	Data 0.002 (0.014)	Loss 6.3296 (6.3605)	Top-1 acc 0.391 (0.327)	Top-5 acc 1.562 (1.564)	lr 0.04999
Warmup Train [1][880/2134]	Time 0.550 (0.672)	Data 0.003 (0.014)	Loss 6.3484 (6.3603)	Top-1 acc 0.000 (0.327)	Top-5 acc 2.734 (1.566)	lr 0.04999
Warmup Train [1][890/2134]	Time 0.695 (0.672)	Data 0.002 (0.014)	Loss 6.3568 (6.3599)	Top-1 acc 0.781 (0.327)	Top-5 acc 1.172 (1.567)	lr 0.04999
Warmup Train [1][900/2134]	Time 0.628 (0.671)	Data 0.003 (0.014)	Loss 6.2975 (6.3594)	Top-1 acc 0.781 (0.330)	Top-5 acc 1.562 (1.574)	lr 0.04999
Warmup Train [1][910/2134]	Time 0.527 (0.671)	Data 0.002 (0.014)	Loss 6.3436 (6.3591)	Top-1 acc 0.781 (0.330)	Top-5 acc 1.953 (1.572)	lr 0.04999
Warmup Train [1][920/2134]	Time 0.655 (0.669)	Data 0.003 (0.014)	Loss 6.3328 (6.3588)	Top-1 acc 0.781 (0.329)	Top-5 acc 1.562 (1.571)	lr 0.04999
Warmup Train [1][930/2134]	Time 0.715 (0.669)	Data 0.002 (0.014)	Loss 6.3380 (6.3584)	Top-1 acc 0.000 (0.329)	Top-5 acc 1.953 (1.577)	lr 0.04999
Warmup Train [1][940/2134]	Time 0.803 (0.669)	Data 0.002 (0.014)	Loss 6.3070 (6.3581)	Top-1 acc 0.781 (0.330)	Top-5 acc 2.344 (1.582)	lr 0.04999
Warmup Train [1][950/2134]	Time 0.635 (0.668)	Data 0.003 (0.013)	Loss 6.3264 (6.3576)	Top-1 acc 0.391 (0.334)	Top-5 acc 1.953 (1.588)	lr 0.04998
Warmup Train [1][960/2134]	Time 0.680 (0.668)	Data 0.002 (0.013)	Loss 6.2738 (6.3573)	Top-1 acc 0.000 (0.336)	Top-5 acc 2.344 (1.594)	lr 0.04998
Warmup Train [1][970/2134]	Time 0.619 (0.667)	Data 0.002 (0.013)	Loss 6.3158 (6.3569)	Top-1 acc 0.781 (0.338)	Top-5 acc 2.344 (1.597)	lr 0.04998
Warmup Train [1][980/2134]	Time 0.575 (0.666)	Data 0.003 (0.013)	Loss 6.3188 (6.3565)	Top-1 acc 0.391 (0.339)	Top-5 acc 2.734 (1.603)	lr 0.04998
Warmup Train [1][990/2134]	Time 0.793 (0.666)	Data 0.002 (0.013)	Loss 6.3328 (6.3562)	Top-1 acc 0.781 (0.339)	Top-5 acc 2.344 (1.606)	lr 0.04998
Warmup Train [1][1000/2134]	Time 0.532 (0.666)	Data 0.002 (0.013)	Loss 6.2984 (6.3557)	Top-1 acc 0.391 (0.340)	Top-5 acc 1.562 (1.612)	lr 0.04998
Warmup Train [1][1010/2134]	Time 0.693 (0.666)	Data 0.003 (0.013)	Loss 6.2729 (6.3554)	Top-1 acc 0.391 (0.339)	Top-5 acc 1.172 (1.619)	lr 0.04998
Warmup Train [1][1020/2134]	Time 0.655 (0.665)	Data 0.002 (0.013)	Loss 6.3440 (6.3553)	Top-1 acc 1.172 (0.339)	Top-5 acc 2.734 (1.616)	lr 0.04998
Warmup Train [1][1030/2134]	Time 0.838 (0.665)	Data 0.003 (0.013)	Loss 6.3432 (6.3551)	Top-1 acc 0.781 (0.339)	Top-5 acc 2.344 (1.616)	lr 0.04998
Warmup Train [1][1040/2134]	Time 0.765 (0.664)	Data 0.002 (0.013)	Loss 6.2742 (6.3547)	Top-1 acc 0.000 (0.341)	Top-5 acc 2.734 (1.619)	lr 0.04998
Warmup Train [1][1050/2134]	Time 0.595 (0.664)	Data 0.002 (0.013)	Loss 6.3067 (6.3544)	Top-1 acc 0.781 (0.341)	Top-5 acc 2.734 (1.620)	lr 0.04998
Warmup Train [1][1060/2134]	Time 0.521 (0.663)	Data 0.003 (0.013)	Loss 6.2905 (6.3541)	Top-1 acc 0.000 (0.341)	Top-5 acc 1.953 (1.625)	lr 0.04998
Warmup Train [1][1070/2134]	Time 0.569 (0.663)	Data 0.002 (0.013)	Loss 6.3181 (6.3536)	Top-1 acc 0.391 (0.344)	Top-5 acc 0.781 (1.631)	lr 0.04998
Warmup Train [1][1080/2134]	Time 0.587 (0.662)	Data 0.003 (0.012)	Loss 6.3152 (6.3533)	Top-1 acc 0.391 (0.345)	Top-5 acc 1.562 (1.638)	lr 0.04998
Warmup Train [1][1090/2134]	Time 0.569 (0.662)	Data 0.004 (0.012)	Loss 6.3267 (6.3529)	Top-1 acc 0.391 (0.347)	Top-5 acc 1.172 (1.638)	lr 0.04998
Warmup Train [1][1100/2134]	Time 0.697 (0.661)	Data 0.003 (0.012)	Loss 6.3641 (6.3526)	Top-1 acc 0.000 (0.345)	Top-5 acc 1.562 (1.640)	lr 0.04998
Warmup Train [1][1110/2134]	Time 0.673 (0.661)	Data 0.002 (0.012)	Loss 6.3195 (6.3523)	Top-1 acc 1.172 (0.346)	Top-5 acc 3.906 (1.643)	lr 0.04998
Warmup Train [1][1120/2134]	Time 0.711 (0.660)	Data 0.003 (0.012)	Loss 6.2832 (6.3519)	Top-1 acc 0.391 (0.348)	Top-5 acc 1.562 (1.648)	lr 0.04998
Warmup Train [1][1130/2134]	Time 0.755 (0.660)	Data 0.002 (0.012)	Loss 6.3642 (6.3516)	Top-1 acc 0.000 (0.346)	Top-5 acc 1.953 (1.652)	lr 0.04998
Warmup Train [1][1140/2134]	Time 0.498 (0.660)	Data 0.002 (0.012)	Loss 6.2714 (6.3512)	Top-1 acc 0.781 (0.346)	Top-5 acc 2.344 (1.653)	lr 0.04998
Warmup Train [1][1150/2134]	Time 0.652 (0.660)	Data 0.002 (0.012)	Loss 6.3015 (6.3509)	Top-1 acc 1.172 (0.348)	Top-5 acc 1.953 (1.653)	lr 0.04998
Warmup Train [1][1160/2134]	Time 0.814 (0.659)	Data 0.002 (0.012)	Loss 6.2936 (6.3506)	Top-1 acc 0.391 (0.347)	Top-5 acc 2.734 (1.654)	lr 0.04998
Warmup Train [1][1170/2134]	Time 0.601 (0.659)	Data 0.020 (0.012)	Loss 6.2987 (6.3503)	Top-1 acc 0.391 (0.348)	Top-5 acc 1.172 (1.654)	lr 0.04998
Warmup Train [1][1180/2134]	Time 0.742 (0.659)	Data 0.003 (0.012)	Loss 6.3399 (6.3500)	Top-1 acc 0.000 (0.348)	Top-5 acc 0.781 (1.656)	lr 0.04998
Warmup Train [1][1190/2134]	Time 0.628 (0.659)	Data 0.002 (0.012)	Loss 6.3136 (6.3499)	Top-1 acc 0.391 (0.348)	Top-5 acc 3.125 (1.657)	lr 0.04998
Warmup Train [1][1200/2134]	Time 0.699 (0.658)	Data 0.002 (0.012)	Loss 6.3723 (6.3496)	Top-1 acc 0.000 (0.348)	Top-5 acc 0.000 (1.658)	lr 0.04998
Warmup Train [1][1210/2134]	Time 0.576 (0.658)	Data 0.002 (0.012)	Loss 6.3090 (6.3493)	Top-1 acc 0.000 (0.349)	Top-5 acc 1.953 (1.662)	lr 0.04998
Warmup Train [1][1220/2134]	Time 0.563 (0.658)	Data 0.003 (0.012)	Loss 6.3413 (6.3491)	Top-1 acc 0.391 (0.350)	Top-5 acc 2.734 (1.664)	lr 0.04997
Warmup Train [1][1230/2134]	Time 0.673 (0.657)	Data 0.002 (0.012)	Loss 6.2719 (6.3488)	Top-1 acc 0.781 (0.350)	Top-5 acc 2.344 (1.667)	lr 0.04997
Warmup Train [1][1240/2134]	Time 0.748 (0.657)	Data 0.002 (0.012)	Loss 6.3417 (6.3485)	Top-1 acc 0.000 (0.351)	Top-5 acc 1.172 (1.672)	lr 0.04997
Warmup Train [1][1250/2134]	Time 0.602 (0.657)	Data 0.003 (0.012)	Loss 6.3278 (6.3482)	Top-1 acc 0.391 (0.352)	Top-5 acc 1.953 (1.678)	lr 0.04997
Warmup Train [1][1260/2134]	Time 0.531 (0.656)	Data 0.002 (0.011)	Loss 6.2998 (6.3480)	Top-1 acc 0.781 (0.351)	Top-5 acc 3.125 (1.680)	lr 0.04997
Warmup Train [1][1270/2134]	Time 0.688 (0.656)	Data 0.003 (0.011)	Loss 6.2992 (6.3477)	Top-1 acc 0.781 (0.352)	Top-5 acc 3.125 (1.682)	lr 0.04997
Warmup Train [1][1280/2134]	Time 0.651 (0.656)	Data 0.002 (0.011)	Loss 6.3190 (6.3475)	Top-1 acc 0.391 (0.350)	Top-5 acc 2.734 (1.682)	lr 0.04997
Warmup Train [1][1290/2134]	Time 0.480 (0.655)	Data 0.004 (0.011)	Loss 6.3174 (6.3470)	Top-1 acc 0.781 (0.353)	Top-5 acc 1.562 (1.687)	lr 0.04997
Warmup Train [1][1300/2134]	Time 0.530 (0.655)	Data 0.004 (0.011)	Loss 6.3351 (6.3468)	Top-1 acc 0.391 (0.352)	Top-5 acc 1.562 (1.684)	lr 0.04997
Warmup Train [1][1310/2134]	Time 0.659 (0.655)	Data 0.002 (0.011)	Loss 6.2936 (6.3466)	Top-1 acc 1.953 (0.355)	Top-5 acc 3.906 (1.686)	lr 0.04997
Warmup Train [1][1320/2134]	Time 0.627 (0.655)	Data 0.002 (0.011)	Loss 6.3400 (6.3464)	Top-1 acc 0.391 (0.356)	Top-5 acc 0.781 (1.688)	lr 0.04997
Warmup Train [1][1330/2134]	Time 0.440 (0.654)	Data 0.002 (0.011)	Loss 6.2955 (6.3461)	Top-1 acc 0.000 (0.357)	Top-5 acc 4.297 (1.694)	lr 0.04997
Warmup Train [1][1340/2134]	Time 0.664 (0.654)	Data 0.002 (0.011)	Loss 6.3049 (6.3459)	Top-1 acc 0.000 (0.357)	Top-5 acc 1.953 (1.696)	lr 0.04997
Warmup Train [1][1350/2134]	Time 0.530 (0.654)	Data 0.003 (0.011)	Loss 6.3071 (6.3456)	Top-1 acc 0.000 (0.355)	Top-5 acc 1.172 (1.694)	lr 0.04997
Warmup Train [1][1360/2134]	Time 0.472 (0.654)	Data 0.002 (0.011)	Loss 6.3583 (6.3453)	Top-1 acc 0.391 (0.355)	Top-5 acc 1.562 (1.695)	lr 0.04997
Warmup Train [1][1370/2134]	Time 0.656 (0.654)	Data 0.002 (0.011)	Loss 6.2951 (6.3449)	Top-1 acc 0.000 (0.355)	Top-5 acc 1.172 (1.698)	lr 0.04997
Warmup Train [1][1380/2134]	Time 0.582 (0.654)	Data 0.003 (0.011)	Loss 6.3011 (6.3446)	Top-1 acc 0.000 (0.355)	Top-5 acc 2.344 (1.699)	lr 0.04997
Warmup Train [1][1390/2134]	Time 0.807 (0.654)	Data 0.002 (0.011)	Loss 6.3009 (6.3444)	Top-1 acc 1.172 (0.356)	Top-5 acc 1.562 (1.698)	lr 0.04997
Warmup Train [1][1400/2134]	Time 0.646 (0.654)	Data 0.002 (0.011)	Loss 6.3322 (6.3442)	Top-1 acc 0.000 (0.356)	Top-5 acc 0.391 (1.698)	lr 0.04997
Warmup Train [1][1410/2134]	Time 0.501 (0.653)	Data 0.002 (0.011)	Loss 6.3160 (6.3440)	Top-1 acc 0.391 (0.357)	Top-5 acc 1.953 (1.701)	lr 0.04997
Warmup Train [1][1420/2134]	Time 0.637 (0.653)	Data 0.002 (0.011)	Loss 6.2862 (6.3437)	Top-1 acc 0.781 (0.357)	Top-5 acc 3.906 (1.705)	lr 0.04997
Warmup Train [1][1430/2134]	Time 0.583 (0.653)	Data 0.002 (0.011)	Loss 6.2873 (6.3434)	Top-1 acc 0.781 (0.356)	Top-5 acc 1.953 (1.704)	lr 0.04997
Warmup Train [1][1440/2134]	Time 0.570 (0.653)	Data 0.002 (0.011)	Loss 6.2998 (6.3432)	Top-1 acc 0.000 (0.355)	Top-5 acc 0.781 (1.704)	lr 0.04996
Warmup Train [1][1450/2134]	Time 0.624 (0.653)	Data 0.002 (0.011)	Loss 6.2798 (6.3429)	Top-1 acc 0.000 (0.356)	Top-5 acc 2.734 (1.707)	lr 0.04996
Warmup Train [1][1460/2134]	Time 0.511 (0.652)	Data 0.002 (0.011)	Loss 6.3056 (6.3426)	Top-1 acc 0.781 (0.356)	Top-5 acc 2.734 (1.709)	lr 0.04996
Warmup Train [1][1470/2134]	Time 0.674 (0.652)	Data 0.002 (0.011)	Loss 6.3024 (6.3423)	Top-1 acc 1.172 (0.357)	Top-5 acc 3.125 (1.714)	lr 0.04996
Warmup Train [1][1480/2134]	Time 0.695 (0.652)	Data 0.002 (0.011)	Loss 6.2728 (6.3420)	Top-1 acc 0.781 (0.358)	Top-5 acc 4.297 (1.714)	lr 0.04996
Warmup Train [1][1490/2134]	Time 0.617 (0.652)	Data 0.002 (0.011)	Loss 6.3608 (6.3417)	Top-1 acc 0.000 (0.357)	Top-5 acc 1.172 (1.714)	lr 0.04996
Warmup Train [1][1500/2134]	Time 0.475 (0.651)	Data 0.002 (0.011)	Loss 6.2899 (6.3414)	Top-1 acc 0.391 (0.357)	Top-5 acc 1.562 (1.713)	lr 0.04996
Warmup Train [1][1510/2134]	Time 0.735 (0.651)	Data 0.002 (0.011)	Loss 6.2925 (6.3411)	Top-1 acc 0.391 (0.358)	Top-5 acc 0.781 (1.715)	lr 0.04996
Warmup Train [1][1520/2134]	Time 0.708 (0.651)	Data 0.003 (0.011)	Loss 6.3005 (6.3408)	Top-1 acc 0.391 (0.358)	Top-5 acc 1.172 (1.716)	lr 0.04996
Warmup Train [1][1530/2134]	Time 0.520 (0.651)	Data 0.002 (0.011)	Loss 6.3230 (6.3406)	Top-1 acc 0.391 (0.358)	Top-5 acc 1.953 (1.717)	lr 0.04996
Warmup Train [1][1540/2134]	Time 0.633 (0.651)	Data 0.003 (0.011)	Loss 6.3224 (6.3403)	Top-1 acc 0.391 (0.359)	Top-5 acc 1.172 (1.721)	lr 0.04996
Warmup Train [1][1550/2134]	Time 0.622 (0.651)	Data 0.002 (0.011)	Loss 6.2869 (6.3401)	Top-1 acc 0.781 (0.359)	Top-5 acc 1.172 (1.720)	lr 0.04996
Warmup Train [1][1560/2134]	Time 0.701 (0.650)	Data 0.002 (0.011)	Loss 6.2773 (6.3398)	Top-1 acc 0.781 (0.361)	Top-5 acc 1.953 (1.722)	lr 0.04996
Warmup Train [1][1570/2134]	Time 0.624 (0.650)	Data 0.002 (0.011)	Loss 6.2775 (6.3396)	Top-1 acc 0.000 (0.361)	Top-5 acc 1.562 (1.723)	lr 0.04996
Warmup Train [1][1580/2134]	Time 0.702 (0.650)	Data 0.002 (0.011)	Loss 6.3198 (6.3393)	Top-1 acc 0.000 (0.362)	Top-5 acc 1.562 (1.724)	lr 0.04996
Warmup Train [1][1590/2134]	Time 0.461 (0.650)	Data 0.002 (0.011)	Loss 6.2909 (6.3390)	Top-1 acc 0.391 (0.361)	Top-5 acc 3.125 (1.726)	lr 0.04996
Warmup Train [1][1600/2134]	Time 0.529 (0.650)	Data 0.002 (0.011)	Loss 6.2853 (6.3388)	Top-1 acc 0.391 (0.361)	Top-5 acc 2.734 (1.727)	lr 0.04996
Warmup Train [1][1610/2134]	Time 0.659 (0.650)	Data 0.002 (0.010)	Loss 6.3201 (6.3386)	Top-1 acc 0.391 (0.362)	Top-5 acc 1.172 (1.729)	lr 0.04996
Warmup Train [1][1620/2134]	Time 0.710 (0.650)	Data 0.002 (0.010)	Loss 6.2906 (6.3383)	Top-1 acc 1.172 (0.361)	Top-5 acc 1.953 (1.730)	lr 0.04996
Warmup Train [1][1630/2134]	Time 0.583 (0.649)	Data 0.002 (0.010)	Loss 6.2754 (6.3380)	Top-1 acc 0.391 (0.363)	Top-5 acc 3.125 (1.732)	lr 0.04996
Warmup Train [1][1640/2134]	Time 0.730 (0.649)	Data 0.002 (0.010)	Loss 6.2913 (6.3378)	Top-1 acc 0.000 (0.362)	Top-5 acc 0.781 (1.731)	lr 0.04995
Warmup Train [1][1650/2134]	Time 0.636 (0.649)	Data 0.002 (0.010)	Loss 6.2990 (6.3376)	Top-1 acc 0.391 (0.362)	Top-5 acc 1.172 (1.735)	lr 0.04995
Warmup Train [1][1660/2134]	Time 0.573 (0.649)	Data 0.002 (0.010)	Loss 6.2848 (6.3374)	Top-1 acc 0.000 (0.364)	Top-5 acc 1.172 (1.736)	lr 0.04995
Warmup Train [1][1670/2134]	Time 0.653 (0.649)	Data 0.003 (0.010)	Loss 6.2945 (6.3371)	Top-1 acc 0.391 (0.365)	Top-5 acc 1.953 (1.741)	lr 0.04995
Warmup Train [1][1680/2134]	Time 0.540 (0.648)	Data 0.002 (0.010)	Loss 6.2717 (6.3368)	Top-1 acc 0.391 (0.365)	Top-5 acc 0.391 (1.741)	lr 0.04995
Warmup Train [1][1690/2134]	Time 0.642 (0.648)	Data 0.002 (0.010)	Loss 6.2843 (6.3365)	Top-1 acc 0.391 (0.365)	Top-5 acc 3.125 (1.742)	lr 0.04995
Warmup Train [1][1700/2134]	Time 0.629 (0.648)	Data 0.003 (0.010)	Loss 6.3277 (6.3362)	Top-1 acc 0.000 (0.366)	Top-5 acc 1.562 (1.744)	lr 0.04995
Warmup Train [1][1710/2134]	Time 0.688 (0.648)	Data 0.002 (0.010)	Loss 6.3131 (6.3360)	Top-1 acc 0.391 (0.367)	Top-5 acc 1.172 (1.747)	lr 0.04995
Warmup Train [1][1720/2134]	Time 0.691 (0.648)	Data 0.002 (0.010)	Loss 6.2775 (6.3358)	Top-1 acc 0.000 (0.367)	Top-5 acc 1.953 (1.747)	lr 0.04995
Warmup Train [1][1730/2134]	Time 0.648 (0.647)	Data 0.003 (0.010)	Loss 6.2705 (6.3354)	Top-1 acc 0.781 (0.366)	Top-5 acc 2.734 (1.751)	lr 0.04995
Warmup Train [1][1740/2134]	Time 0.585 (0.647)	Data 0.002 (0.010)	Loss 6.2939 (6.3352)	Top-1 acc 0.391 (0.367)	Top-5 acc 1.562 (1.753)	lr 0.04995
Warmup Train [1][1750/2134]	Time 0.674 (0.647)	Data 0.002 (0.010)	Loss 6.2457 (6.3349)	Top-1 acc 0.391 (0.367)	Top-5 acc 1.172 (1.755)	lr 0.04995
Warmup Train [1][1760/2134]	Time 0.641 (0.647)	Data 0.002 (0.010)	Loss 6.3107 (6.3346)	Top-1 acc 0.000 (0.367)	Top-5 acc 1.953 (1.755)	lr 0.04995
Warmup Train [1][1770/2134]	Time 0.627 (0.647)	Data 0.002 (0.010)	Loss 6.2427 (6.3343)	Top-1 acc 1.172 (0.368)	Top-5 acc 3.125 (1.759)	lr 0.04995
Warmup Train [1][1780/2134]	Time 0.654 (0.647)	Data 0.002 (0.010)	Loss 6.3330 (6.3342)	Top-1 acc 0.000 (0.367)	Top-5 acc 1.953 (1.758)	lr 0.04995
Warmup Train [1][1790/2134]	Time 0.569 (0.647)	Data 0.002 (0.010)	Loss 6.2819 (6.3339)	Top-1 acc 0.781 (0.367)	Top-5 acc 1.953 (1.758)	lr 0.04995
Warmup Train [1][1800/2134]	Time 0.719 (0.647)	Data 0.003 (0.010)	Loss 6.2566 (6.3337)	Top-1 acc 0.781 (0.367)	Top-5 acc 4.297 (1.761)	lr 0.04995
Warmup Train [1][1810/2134]	Time 0.613 (0.646)	Data 0.002 (0.010)	Loss 6.2764 (6.3335)	Top-1 acc 0.391 (0.369)	Top-5 acc 3.125 (1.762)	lr 0.04994
Warmup Train [1][1820/2134]	Time 0.579 (0.646)	Data 0.003 (0.010)	Loss 6.2674 (6.3332)	Top-1 acc 0.391 (0.370)	Top-5 acc 1.953 (1.765)	lr 0.04994
Warmup Train [1][1830/2134]	Time 0.487 (0.646)	Data 0.002 (0.010)	Loss 6.3016 (6.3329)	Top-1 acc 0.391 (0.370)	Top-5 acc 1.562 (1.767)	lr 0.04994
Warmup Train [1][1840/2134]	Time 0.698 (0.646)	Data 0.002 (0.010)	Loss 6.3026 (6.3326)	Top-1 acc 0.000 (0.370)	Top-5 acc 1.172 (1.768)	lr 0.04994
Warmup Train [1][1850/2134]	Time 0.524 (0.646)	Data 0.002 (0.010)	Loss 6.2681 (6.3324)	Top-1 acc 0.391 (0.371)	Top-5 acc 1.953 (1.770)	lr 0.04994
Warmup Train [1][1860/2134]	Time 0.581 (0.646)	Data 0.002 (0.010)	Loss 6.3139 (6.3321)	Top-1 acc 0.000 (0.372)	Top-5 acc 1.172 (1.772)	lr 0.04994
Warmup Train [1][1870/2134]	Time 0.634 (0.646)	Data 0.002 (0.010)	Loss 6.3033 (6.3318)	Top-1 acc 0.781 (0.372)	Top-5 acc 2.344 (1.775)	lr 0.04994
Warmup Train [1][1880/2134]	Time 0.607 (0.646)	Data 0.002 (0.010)	Loss 6.2762 (6.3316)	Top-1 acc 0.391 (0.372)	Top-5 acc 1.953 (1.777)	lr 0.04994
Warmup Train [1][1890/2134]	Time 0.639 (0.645)	Data 0.002 (0.010)	Loss 6.2913 (6.3313)	Top-1 acc 1.172 (0.373)	Top-5 acc 1.562 (1.779)	lr 0.04994
Warmup Train [1][1900/2134]	Time 0.620 (0.645)	Data 0.002 (0.010)	Loss 6.2409 (6.3311)	Top-1 acc 1.172 (0.373)	Top-5 acc 1.953 (1.781)	lr 0.04994
Warmup Train [1][1910/2134]	Time 0.433 (0.645)	Data 0.002 (0.010)	Loss 6.2510 (6.3309)	Top-1 acc 0.781 (0.373)	Top-5 acc 2.734 (1.783)	lr 0.04994
Warmup Train [1][1920/2134]	Time 0.674 (0.645)	Data 0.002 (0.010)	Loss 6.2705 (6.3307)	Top-1 acc 0.391 (0.374)	Top-5 acc 3.125 (1.784)	lr 0.04994
Warmup Train [1][1930/2134]	Time 0.620 (0.645)	Data 0.002 (0.010)	Loss 6.3189 (6.3304)	Top-1 acc 0.391 (0.374)	Top-5 acc 1.562 (1.788)	lr 0.04994
Warmup Train [1][1940/2134]	Time 0.734 (0.645)	Data 0.002 (0.010)	Loss 6.3085 (6.3302)	Top-1 acc 0.000 (0.374)	Top-5 acc 1.562 (1.788)	lr 0.04994
Warmup Train [1][1950/2134]	Time 0.710 (0.645)	Data 0.002 (0.010)	Loss 6.3016 (6.3300)	Top-1 acc 0.000 (0.374)	Top-5 acc 1.172 (1.788)	lr 0.04994
Warmup Train [1][1960/2134]	Time 0.635 (0.645)	Data 0.002 (0.010)	Loss 6.3247 (6.3297)	Top-1 acc 0.000 (0.373)	Top-5 acc 1.953 (1.789)	lr 0.04994
Warmup Train [1][1970/2134]	Time 0.606 (0.645)	Data 0.002 (0.010)	Loss 6.3134 (6.3295)	Top-1 acc 0.391 (0.374)	Top-5 acc 2.734 (1.792)	lr 0.04993
Warmup Train [1][1980/2134]	Time 0.581 (0.644)	Data 0.002 (0.010)	Loss 6.2997 (6.3293)	Top-1 acc 0.000 (0.374)	Top-5 acc 2.344 (1.792)	lr 0.04993
Warmup Train [1][1990/2134]	Time 0.637 (0.644)	Data 0.003 (0.010)	Loss 6.3358 (6.3290)	Top-1 acc 0.391 (0.374)	Top-5 acc 1.953 (1.793)	lr 0.04993
Warmup Train [1][2000/2134]	Time 0.654 (0.644)	Data 0.002 (0.010)	Loss 6.2587 (6.3288)	Top-1 acc 0.000 (0.375)	Top-5 acc 1.172 (1.794)	lr 0.04993
Warmup Train [1][2010/2134]	Time 0.624 (0.644)	Data 0.003 (0.010)	Loss 6.3076 (6.3286)	Top-1 acc 0.781 (0.375)	Top-5 acc 1.172 (1.796)	lr 0.04993
Warmup Train [1][2020/2134]	Time 0.612 (0.644)	Data 0.002 (0.010)	Loss 6.2713 (6.3284)	Top-1 acc 1.172 (0.376)	Top-5 acc 2.734 (1.798)	lr 0.04993
Warmup Train [1][2030/2134]	Time 0.571 (0.644)	Data 0.002 (0.009)	Loss 6.2526 (6.3280)	Top-1 acc 0.391 (0.376)	Top-5 acc 1.172 (1.800)	lr 0.04993
Warmup Train [1][2040/2134]	Time 0.808 (0.644)	Data 0.002 (0.010)	Loss 6.2940 (6.3277)	Top-1 acc 0.391 (0.378)	Top-5 acc 1.172 (1.804)	lr 0.04993
Warmup Train [1][2050/2134]	Time 0.787 (0.644)	Data 0.002 (0.009)	Loss 6.2731 (6.3276)	Top-1 acc 0.000 (0.377)	Top-5 acc 0.781 (1.804)	lr 0.04993
Warmup Train [1][2060/2134]	Time 0.460 (0.644)	Data 0.003 (0.009)	Loss 6.2443 (6.3273)	Top-1 acc 0.391 (0.378)	Top-5 acc 1.953 (1.805)	lr 0.04993
Warmup Train [1][2070/2134]	Time 0.606 (0.644)	Data 0.001 (0.009)	Loss 6.2633 (6.3270)	Top-1 acc 0.391 (0.380)	Top-5 acc 2.734 (1.807)	lr 0.04993
Warmup Train [1][2080/2134]	Time 0.453 (0.643)	Data 0.000 (0.009)	Loss 6.3148 (6.3267)	Top-1 acc 1.172 (0.379)	Top-5 acc 3.125 (1.809)	lr 0.04993
Warmup Train [1][2090/2134]	Time 0.497 (0.643)	Data 0.000 (0.009)	Loss 6.2610 (6.3264)	Top-1 acc 1.562 (0.380)	Top-5 acc 3.516 (1.812)	lr 0.04993
Warmup Train [1][2100/2134]	Time 0.582 (0.643)	Data 0.000 (0.010)	Loss 6.2974 (6.3261)	Top-1 acc 0.391 (0.381)	Top-5 acc 2.344 (1.815)	lr 0.04993
Warmup Train [1][2110/2134]	Time 0.675 (0.643)	Data 0.000 (0.009)	Loss 6.2845 (6.3259)	Top-1 acc 0.391 (0.382)	Top-5 acc 1.953 (1.819)	lr 0.04992
Warmup Train [1][2120/2134]	Time 0.547 (0.642)	Data 0.000 (0.009)	Loss 6.2756 (6.3257)	Top-1 acc 1.172 (0.383)	Top-5 acc 2.734 (1.822)	lr 0.04992
Warmup Train [1][2130/2134]	Time 0.579 (0.642)	Data 0.000 (0.009)	Loss 6.3238 (6.3255)	Top-1 acc 0.781 (0.383)	Top-5 acc 2.344 (1.825)	lr 0.04992
Warmup Train [1][2134/2134]	Time 2.683 (0.643)	Data 0.000 (0.009)	Loss 6.3415 (6.3254)	Top-1 acc 0.535 (0.383)	Top-5 acc 1.070 (1.825)	lr 0.04992
==========Warmup Valid [1/40]	loss 6.106	top-1 acc 0.527	top-5 acc 2.225	Train top-1 0.383	top-5 1.825	flops: 442.4M
Warmup Train [2][0/2134]	Time 8.118 (8.118)	Data 6.262 (6.262)	Loss 6.2710 (6.2710)	Top-1 acc 0.391 (0.391)	Top-5 acc 1.562 (1.562)	lr 0.04992
Warmup Train [2][10/2134]	Time 0.731 (1.422)	Data 0.002 (0.572)	Loss 6.2635 (6.2689)	Top-1 acc 0.000 (0.391)	Top-5 acc 0.391 (1.953)	lr 0.04992
Warmup Train [2][20/2134]	Time 0.678 (1.044)	Data 0.002 (0.305)	Loss 6.3226 (6.2686)	Top-1 acc 0.781 (0.502)	Top-5 acc 2.734 (2.214)	lr 0.04992
Warmup Train [2][30/2134]	Time 0.453 (0.900)	Data 0.002 (0.208)	Loss 6.2707 (6.2683)	Top-1 acc 0.000 (0.491)	Top-5 acc 0.000 (2.142)	lr 0.04992
Warmup Train [2][40/2134]	Time 0.592 (0.837)	Data 0.002 (0.160)	Loss 6.2551 (6.2653)	Top-1 acc 1.172 (0.524)	Top-5 acc 4.297 (2.315)	lr 0.04992
Warmup Train [2][50/2134]	Time 0.498 (0.785)	Data 0.002 (0.132)	Loss 6.2500 (6.2634)	Top-1 acc 0.781 (0.551)	Top-5 acc 3.125 (2.436)	lr 0.04992
Warmup Train [2][60/2134]	Time 0.505 (0.759)	Data 0.002 (0.113)	Loss 6.2586 (6.2648)	Top-1 acc 0.000 (0.538)	Top-5 acc 1.562 (2.389)	lr 0.04992
Warmup Train [2][70/2134]	Time 0.641 (0.742)	Data 0.002 (0.099)	Loss 6.3214 (6.2654)	Top-1 acc 0.781 (0.523)	Top-5 acc 2.734 (2.382)	lr 0.04992
Warmup Train [2][80/2134]	Time 0.521 (0.731)	Data 0.004 (0.087)	Loss 6.2886 (6.2666)	Top-1 acc 0.000 (0.511)	Top-5 acc 1.172 (2.329)	lr 0.04992
Warmup Train [2][90/2134]	Time 0.637 (0.722)	Data 0.003 (0.079)	Loss 6.2951 (6.2682)	Top-1 acc 1.172 (0.502)	Top-5 acc 1.562 (2.292)	lr 0.04992
Warmup Train [2][100/2134]	Time 0.670 (0.713)	Data 0.002 (0.071)	Loss 6.2488 (6.2683)	Top-1 acc 0.781 (0.480)	Top-5 acc 1.953 (2.235)	lr 0.04992
Warmup Train [2][110/2134]	Time 0.441 (0.705)	Data 0.002 (0.065)	Loss 6.2263 (6.2680)	Top-1 acc 0.000 (0.482)	Top-5 acc 1.953 (2.252)	lr 0.04991
Warmup Train [2][120/2134]	Time 0.748 (0.700)	Data 0.003 (0.061)	Loss 6.2656 (6.2697)	Top-1 acc 0.781 (0.468)	Top-5 acc 1.172 (2.234)	lr 0.04991
Warmup Train [2][130/2134]	Time 0.592 (0.694)	Data 0.002 (0.057)	Loss 6.2264 (6.2696)	Top-1 acc 0.391 (0.471)	Top-5 acc 3.125 (2.239)	lr 0.04991
Warmup Train [2][140/2134]	Time 0.647 (0.691)	Data 0.002 (0.054)	Loss 6.2978 (6.2698)	Top-1 acc 0.391 (0.474)	Top-5 acc 2.344 (2.236)	lr 0.04991
Warmup Train [2][150/2134]	Time 0.697 (0.685)	Data 0.002 (0.050)	Loss 6.2996 (6.2695)	Top-1 acc 0.391 (0.479)	Top-5 acc 0.781 (2.261)	lr 0.04991
Warmup Train [2][160/2134]	Time 0.709 (0.681)	Data 0.002 (0.047)	Loss 6.2563 (6.2690)	Top-1 acc 0.391 (0.471)	Top-5 acc 2.344 (2.286)	lr 0.04991
Warmup Train [2][170/2134]	Time 0.494 (0.677)	Data 0.002 (0.045)	Loss 6.2307 (6.2687)	Top-1 acc 1.172 (0.464)	Top-5 acc 2.734 (2.284)	lr 0.04991
Warmup Train [2][180/2134]	Time 0.461 (0.672)	Data 0.002 (0.043)	Loss 6.2364 (6.2683)	Top-1 acc 1.172 (0.473)	Top-5 acc 3.125 (2.294)	lr 0.04991
Warmup Train [2][190/2134]	Time 0.625 (0.671)	Data 0.004 (0.042)	Loss 6.2584 (6.2682)	Top-1 acc 1.172 (0.470)	Top-5 acc 3.906 (2.305)	lr 0.04991
Warmup Train [2][200/2134]	Time 0.596 (0.668)	Data 0.002 (0.040)	Loss 6.2717 (6.2685)	Top-1 acc 0.781 (0.470)	Top-5 acc 1.953 (2.284)	lr 0.04991
Warmup Train [2][210/2134]	Time 0.563 (0.665)	Data 0.002 (0.038)	Loss 6.2992 (6.2683)	Top-1 acc 0.391 (0.472)	Top-5 acc 2.344 (2.288)	lr 0.04991
Warmup Train [2][220/2134]	Time 0.416 (0.663)	Data 0.002 (0.037)	Loss 6.2262 (6.2675)	Top-1 acc 0.000 (0.475)	Top-5 acc 1.953 (2.285)	lr 0.04991
Warmup Train [2][230/2134]	Time 0.822 (0.661)	Data 0.002 (0.036)	Loss 6.2673 (6.2675)	Top-1 acc 0.000 (0.468)	Top-5 acc 1.562 (2.263)	lr 0.04991
Warmup Train [2][240/2134]	Time 0.586 (0.660)	Data 0.002 (0.035)	Loss 6.2385 (6.2670)	Top-1 acc 0.391 (0.460)	Top-5 acc 1.953 (2.263)	lr 0.04990
Warmup Train [2][250/2134]	Time 0.621 (0.658)	Data 0.002 (0.034)	Loss 6.2663 (6.2662)	Top-1 acc 0.391 (0.458)	Top-5 acc 2.344 (2.252)	lr 0.04990
Warmup Train [2][260/2134]	Time 0.669 (0.657)	Data 0.002 (0.033)	Loss 6.2982 (6.2661)	Top-1 acc 0.391 (0.465)	Top-5 acc 0.781 (2.251)	lr 0.04990
Warmup Train [2][270/2134]	Time 0.537 (0.656)	Data 0.002 (0.032)	Loss 6.3109 (6.2662)	Top-1 acc 1.172 (0.466)	Top-5 acc 2.734 (2.241)	lr 0.04990
Warmup Train [2][280/2134]	Time 0.587 (0.654)	Data 0.002 (0.031)	Loss 6.2734 (6.2659)	Top-1 acc 0.781 (0.468)	Top-5 acc 1.562 (2.245)	lr 0.04990
Warmup Train [2][290/2134]	Time 0.585 (0.654)	Data 0.002 (0.031)	Loss 6.2720 (6.2651)	Top-1 acc 0.000 (0.474)	Top-5 acc 2.734 (2.271)	lr 0.04990
Warmup Train [2][300/2134]	Time 0.690 (0.653)	Data 0.002 (0.030)	Loss 6.3301 (6.2655)	Top-1 acc 0.781 (0.474)	Top-5 acc 1.562 (2.268)	lr 0.04990
Warmup Train [2][310/2134]	Time 0.606 (0.652)	Data 0.002 (0.029)	Loss 6.1949 (6.2652)	Top-1 acc 0.391 (0.474)	Top-5 acc 3.516 (2.276)	lr 0.04990
Warmup Train [2][320/2134]	Time 0.614 (0.651)	Data 0.002 (0.028)	Loss 6.2233 (6.2646)	Top-1 acc 0.781 (0.483)	Top-5 acc 2.344 (2.277)	lr 0.04990
Warmup Train [2][330/2134]	Time 0.552 (0.650)	Data 0.003 (0.028)	Loss 6.2366 (6.2640)	Top-1 acc 0.391 (0.483)	Top-5 acc 1.953 (2.289)	lr 0.04990
Warmup Train [2][340/2134]	Time 0.714 (0.650)	Data 0.002 (0.027)	Loss 6.2421 (6.2642)	Top-1 acc 0.391 (0.483)	Top-5 acc 2.344 (2.292)	lr 0.04990
Warmup Train [2][350/2134]	Time 0.578 (0.649)	Data 0.002 (0.027)	Loss 6.2476 (6.2638)	Top-1 acc 0.391 (0.480)	Top-5 acc 1.953 (2.301)	lr 0.04990
Warmup Train [2][360/2134]	Time 0.579 (0.648)	Data 0.002 (0.026)	Loss 6.2587 (6.2639)	Top-1 acc 0.000 (0.478)	Top-5 acc 0.781 (2.282)	lr 0.04989
Warmup Train [2][370/2134]	Time 0.833 (0.648)	Data 0.002 (0.026)	Loss 6.2307 (6.2634)	Top-1 acc 0.781 (0.480)	Top-5 acc 3.516 (2.287)	lr 0.04989
Warmup Train [2][380/2134]	Time 0.539 (0.646)	Data 0.002 (0.025)	Loss 6.2869 (6.2632)	Top-1 acc 0.391 (0.482)	Top-5 acc 2.734 (2.295)	lr 0.04989
Warmup Train [2][390/2134]	Time 0.659 (0.646)	Data 0.002 (0.025)	Loss 6.2179 (6.2626)	Top-1 acc 0.781 (0.488)	Top-5 acc 3.516 (2.303)	lr 0.04989
Warmup Train [2][400/2134]	Time 0.748 (0.646)	Data 0.002 (0.024)	Loss 6.2637 (6.2621)	Top-1 acc 0.391 (0.488)	Top-5 acc 2.344 (2.314)	lr 0.04989
Warmup Train [2][410/2134]	Time 0.534 (0.644)	Data 0.002 (0.024)	Loss 6.2380 (6.2617)	Top-1 acc 0.391 (0.483)	Top-5 acc 1.953 (2.312)	lr 0.04989
Warmup Train [2][420/2134]	Time 0.784 (0.644)	Data 0.002 (0.024)	Loss 6.2403 (6.2612)	Top-1 acc 1.172 (0.491)	Top-5 acc 2.344 (2.319)	lr 0.04989
Warmup Train [2][430/2134]	Time 0.675 (0.644)	Data 0.002 (0.023)	Loss 6.2532 (6.2612)	Top-1 acc 0.000 (0.488)	Top-5 acc 1.953 (2.317)	lr 0.04989
Warmup Train [2][440/2134]	Time 0.765 (0.643)	Data 0.002 (0.023)	Loss 6.2222 (6.2608)	Top-1 acc 0.391 (0.488)	Top-5 acc 2.344 (2.320)	lr 0.04989
Warmup Train [2][450/2134]	Time 0.647 (0.642)	Data 0.002 (0.022)	Loss 6.2371 (6.2606)	Top-1 acc 0.391 (0.489)	Top-5 acc 2.344 (2.318)	lr 0.04989
Warmup Train [2][460/2134]	Time 0.487 (0.642)	Data 0.002 (0.022)	Loss 6.3237 (6.2606)	Top-1 acc 0.391 (0.489)	Top-5 acc 2.344 (2.312)	lr 0.04989
Warmup Train [2][470/2134]	Time 0.651 (0.641)	Data 0.032 (0.022)	Loss 6.2819 (6.2602)	Top-1 acc 0.781 (0.488)	Top-5 acc 2.734 (2.312)	lr 0.04989
Warmup Train [2][480/2134]	Time 0.600 (0.641)	Data 0.003 (0.022)	Loss 6.2217 (6.2602)	Top-1 acc 0.391 (0.492)	Top-5 acc 3.125 (2.316)	lr 0.04988
Warmup Train [2][490/2134]	Time 0.406 (0.640)	Data 0.002 (0.021)	Loss 6.2537 (6.2602)	Top-1 acc 0.000 (0.497)	Top-5 acc 1.953 (2.319)	lr 0.04988
Warmup Train [2][500/2134]	Time 0.619 (0.640)	Data 0.002 (0.021)	Loss 6.2710 (6.2599)	Top-1 acc 0.781 (0.504)	Top-5 acc 1.172 (2.327)	lr 0.04988
Warmup Train [2][510/2134]	Time 0.607 (0.640)	Data 0.002 (0.021)	Loss 6.2290 (6.2597)	Top-1 acc 0.781 (0.508)	Top-5 acc 1.953 (2.329)	lr 0.04988
Warmup Train [2][520/2134]	Time 0.690 (0.640)	Data 0.002 (0.021)	Loss 6.2326 (6.2596)	Top-1 acc 0.000 (0.505)	Top-5 acc 3.125 (2.335)	lr 0.04988
Warmup Train [2][530/2134]	Time 0.579 (0.639)	Data 0.002 (0.020)	Loss 6.3103 (6.2593)	Top-1 acc 1.172 (0.508)	Top-5 acc 1.953 (2.351)	lr 0.04988
Warmup Train [2][540/2134]	Time 0.611 (0.639)	Data 0.002 (0.020)	Loss 6.2861 (6.2590)	Top-1 acc 0.391 (0.510)	Top-5 acc 2.734 (2.357)	lr 0.04988
Warmup Train [2][550/2134]	Time 0.719 (0.639)	Data 0.004 (0.020)	Loss 6.2237 (6.2590)	Top-1 acc 1.172 (0.513)	Top-5 acc 3.125 (2.363)	lr 0.04988
Warmup Train [2][560/2134]	Time 0.664 (0.638)	Data 0.002 (0.019)	Loss 6.2466 (6.2588)	Top-1 acc 1.172 (0.515)	Top-5 acc 2.344 (2.362)	lr 0.04988
Warmup Train [2][570/2134]	Time 0.572 (0.638)	Data 0.002 (0.019)	Loss 6.2319 (6.2583)	Top-1 acc 0.000 (0.514)	Top-5 acc 2.734 (2.360)	lr 0.04988
Warmup Train [2][580/2134]	Time 0.720 (0.638)	Data 0.002 (0.019)	Loss 6.2758 (6.2583)	Top-1 acc 0.781 (0.516)	Top-5 acc 1.562 (2.359)	lr 0.04988
Warmup Train [2][590/2134]	Time 0.578 (0.638)	Data 0.002 (0.018)	Loss 6.2290 (6.2581)	Top-1 acc 0.391 (0.514)	Top-5 acc 2.734 (2.358)	lr 0.04987
Warmup Train [2][600/2134]	Time 0.429 (0.637)	Data 0.002 (0.018)	Loss 6.2415 (6.2580)	Top-1 acc 0.781 (0.516)	Top-5 acc 2.344 (2.361)	lr 0.04987
Warmup Train [2][610/2134]	Time 0.455 (0.637)	Data 0.003 (0.018)	Loss 6.2578 (6.2578)	Top-1 acc 0.000 (0.513)	Top-5 acc 1.562 (2.357)	lr 0.04987
Warmup Train [2][620/2134]	Time 0.560 (0.637)	Data 0.002 (0.018)	Loss 6.2246 (6.2573)	Top-1 acc 0.391 (0.518)	Top-5 acc 3.125 (2.375)	lr 0.04987
Warmup Train [2][630/2134]	Time 0.449 (0.636)	Data 0.002 (0.018)	Loss 6.1952 (6.2572)	Top-1 acc 1.172 (0.516)	Top-5 acc 2.344 (2.377)	lr 0.04987
Warmup Train [2][640/2134]	Time 0.472 (0.636)	Data 0.002 (0.018)	Loss 6.2067 (6.2569)	Top-1 acc 0.391 (0.517)	Top-5 acc 3.516 (2.383)	lr 0.04987
Warmup Train [2][650/2134]	Time 0.603 (0.636)	Data 0.002 (0.018)	Loss 6.2451 (6.2569)	Top-1 acc 0.391 (0.518)	Top-5 acc 1.953 (2.382)	lr 0.04987
Warmup Train [2][660/2134]	Time 0.724 (0.636)	Data 0.002 (0.018)	Loss 6.2809 (6.2566)	Top-1 acc 0.000 (0.519)	Top-5 acc 1.953 (2.385)	lr 0.04987
Warmup Train [2][670/2134]	Time 0.849 (0.636)	Data 0.003 (0.018)	Loss 6.2575 (6.2563)	Top-1 acc 0.781 (0.520)	Top-5 acc 2.344 (2.383)	lr 0.04987
Warmup Train [2][680/2134]	Time 0.710 (0.636)	Data 0.002 (0.017)	Loss 6.2229 (6.2559)	Top-1 acc 0.391 (0.523)	Top-5 acc 2.344 (2.387)	lr 0.04987
Warmup Train [2][690/2134]	Time 0.417 (0.635)	Data 0.002 (0.017)	Loss 6.2355 (6.2557)	Top-1 acc 0.391 (0.526)	Top-5 acc 1.953 (2.395)	lr 0.04987
Warmup Train [2][700/2134]	Time 0.587 (0.635)	Data 0.002 (0.017)	Loss 6.2508 (6.2554)	Top-1 acc 0.781 (0.530)	Top-5 acc 2.344 (2.398)	lr 0.04986
Warmup Train [2][710/2134]	Time 0.781 (0.635)	Data 0.002 (0.017)	Loss 6.2090 (6.2552)	Top-1 acc 0.000 (0.531)	Top-5 acc 2.344 (2.405)	lr 0.04986
Warmup Train [2][720/2134]	Time 0.611 (0.635)	Data 0.002 (0.017)	Loss 6.2627 (6.2551)	Top-1 acc 0.000 (0.530)	Top-5 acc 2.344 (2.404)	lr 0.04986
Warmup Train [2][730/2134]	Time 0.759 (0.635)	Data 0.003 (0.017)	Loss 6.2189 (6.2550)	Top-1 acc 0.000 (0.531)	Top-5 acc 1.953 (2.406)	lr 0.04986
Warmup Train [2][740/2134]	Time 0.654 (0.634)	Data 0.002 (0.017)	Loss 6.2477 (6.2549)	Top-1 acc 0.781 (0.530)	Top-5 acc 1.953 (2.406)	lr 0.04986
Warmup Train [2][750/2134]	Time 0.494 (0.634)	Data 0.002 (0.017)	Loss 6.2063 (6.2547)	Top-1 acc 0.391 (0.528)	Top-5 acc 3.906 (2.403)	lr 0.04986
Warmup Train [2][760/2134]	Time 0.639 (0.634)	Data 0.002 (0.017)	Loss 6.1936 (6.2546)	Top-1 acc 0.781 (0.527)	Top-5 acc 1.953 (2.406)	lr 0.04986
Warmup Train [2][770/2134]	Time 0.750 (0.634)	Data 0.002 (0.016)	Loss 6.2095 (6.2544)	Top-1 acc 0.000 (0.527)	Top-5 acc 1.953 (2.412)	lr 0.04986
Warmup Train [2][780/2134]	Time 0.813 (0.634)	Data 0.002 (0.016)	Loss 6.2293 (6.2541)	Top-1 acc 0.000 (0.527)	Top-5 acc 1.172 (2.420)	lr 0.04986
Warmup Train [2][790/2134]	Time 0.590 (0.634)	Data 0.002 (0.016)	Loss 6.2629 (6.2541)	Top-1 acc 0.391 (0.526)	Top-5 acc 2.344 (2.420)	lr 0.04986
Warmup Train [2][800/2134]	Time 0.575 (0.634)	Data 0.002 (0.016)	Loss 6.2271 (6.2538)	Top-1 acc 0.000 (0.524)	Top-5 acc 3.516 (2.423)	lr 0.04985
Warmup Train [2][810/2134]	Time 0.575 (0.634)	Data 0.002 (0.016)	Loss 6.2278 (6.2536)	Top-1 acc 0.391 (0.525)	Top-5 acc 3.125 (2.427)	lr 0.04985
Warmup Train [2][820/2134]	Time 0.692 (0.634)	Data 0.002 (0.016)	Loss 6.2335 (6.2534)	Top-1 acc 0.781 (0.528)	Top-5 acc 2.344 (2.428)	lr 0.04985
Warmup Train [2][830/2134]	Time 0.493 (0.634)	Data 0.002 (0.016)	Loss 6.2215 (6.2532)	Top-1 acc 0.000 (0.528)	Top-5 acc 3.125 (2.433)	lr 0.04985
Warmup Train [2][840/2134]	Time 0.675 (0.633)	Data 0.003 (0.016)	Loss 6.2420 (6.2531)	Top-1 acc 0.000 (0.529)	Top-5 acc 0.781 (2.435)	lr 0.04985
Warmup Train [2][850/2134]	Time 0.637 (0.633)	Data 0.002 (0.016)	Loss 6.2624 (6.2530)	Top-1 acc 0.391 (0.529)	Top-5 acc 2.734 (2.436)	lr 0.04985
Warmup Train [2][860/2134]	Time 0.862 (0.633)	Data 0.002 (0.015)	Loss 6.2500 (6.2527)	Top-1 acc 0.000 (0.529)	Top-5 acc 1.562 (2.440)	lr 0.04985
Warmup Train [2][870/2134]	Time 0.557 (0.633)	Data 0.002 (0.015)	Loss 6.2822 (6.2525)	Top-1 acc 0.391 (0.532)	Top-5 acc 2.734 (2.442)	lr 0.04985
Warmup Train [2][880/2134]	Time 0.854 (0.633)	Data 0.031 (0.015)	Loss 6.2188 (6.2525)	Top-1 acc 0.391 (0.533)	Top-5 acc 3.516 (2.442)	lr 0.04985
Warmup Train [2][890/2134]	Time 0.681 (0.634)	Data 0.002 (0.015)	Loss 6.2652 (6.2524)	Top-1 acc 0.391 (0.536)	Top-5 acc 3.516 (2.444)	lr 0.04985
Warmup Train [2][900/2134]	Time 0.988 (0.634)	Data 0.002 (0.015)	Loss 6.2659 (6.2523)	Top-1 acc 0.000 (0.537)	Top-5 acc 1.172 (2.448)	lr 0.04984
Warmup Train [2][910/2134]	Time 0.647 (0.634)	Data 0.002 (0.015)	Loss 6.2827 (6.2521)	Top-1 acc 0.781 (0.536)	Top-5 acc 3.125 (2.443)	lr 0.04984
Warmup Train [2][920/2134]	Time 0.689 (0.634)	Data 0.002 (0.015)	Loss 6.2952 (6.2520)	Top-1 acc 0.000 (0.535)	Top-5 acc 0.391 (2.438)	lr 0.04984
Warmup Train [2][930/2134]	Time 0.640 (0.634)	Data 0.002 (0.015)	Loss 6.2394 (6.2517)	Top-1 acc 1.172 (0.539)	Top-5 acc 3.906 (2.447)	lr 0.04984
Warmup Train [2][940/2134]	Time 0.605 (0.634)	Data 0.003 (0.015)	Loss 6.2881 (6.2515)	Top-1 acc 0.000 (0.538)	Top-5 acc 2.734 (2.444)	lr 0.04984
Warmup Train [2][950/2134]	Time 0.570 (0.634)	Data 0.002 (0.014)	Loss 6.2718 (6.2513)	Top-1 acc 1.172 (0.538)	Top-5 acc 1.953 (2.447)	lr 0.04984
Warmup Train [2][960/2134]	Time 0.532 (0.634)	Data 0.002 (0.014)	Loss 6.2430 (6.2511)	Top-1 acc 0.781 (0.539)	Top-5 acc 3.125 (2.447)	lr 0.04984
Warmup Train [2][970/2134]	Time 0.445 (0.633)	Data 0.002 (0.014)	Loss 6.2643 (6.2509)	Top-1 acc 0.000 (0.537)	Top-5 acc 1.562 (2.446)	lr 0.04984
Warmup Train [2][980/2134]	Time 0.558 (0.633)	Data 0.002 (0.014)	Loss 6.2078 (6.2506)	Top-1 acc 1.172 (0.538)	Top-5 acc 1.953 (2.450)	lr 0.04984
Warmup Train [2][990/2134]	Time 0.668 (0.633)	Data 0.002 (0.014)	Loss 6.1679 (6.2503)	Top-1 acc 1.172 (0.538)	Top-5 acc 3.516 (2.456)	lr 0.04983
Warmup Train [2][1000/2134]	Time 0.493 (0.633)	Data 0.002 (0.014)	Loss 6.1625 (6.2500)	Top-1 acc 0.000 (0.539)	Top-5 acc 3.516 (2.458)	lr 0.04983
Warmup Train [2][1010/2134]	Time 0.462 (0.633)	Data 0.002 (0.014)	Loss 6.1926 (6.2497)	Top-1 acc 0.391 (0.537)	Top-5 acc 3.125 (2.457)	lr 0.04983
Warmup Train [2][1020/2134]	Time 0.701 (0.633)	Data 0.002 (0.014)	Loss 6.2249 (6.2494)	Top-1 acc 0.781 (0.536)	Top-5 acc 3.125 (2.459)	lr 0.04983
Warmup Train [2][1030/2134]	Time 0.636 (0.632)	Data 0.002 (0.014)	Loss 6.2182 (6.2491)	Top-1 acc 0.391 (0.535)	Top-5 acc 1.562 (2.457)	lr 0.04983
Warmup Train [2][1040/2134]	Time 0.531 (0.632)	Data 0.002 (0.014)	Loss 6.2238 (6.2489)	Top-1 acc 0.391 (0.535)	Top-5 acc 2.344 (2.463)	lr 0.04983
Warmup Train [2][1050/2134]	Time 0.572 (0.632)	Data 0.002 (0.014)	Loss 6.2501 (6.2487)	Top-1 acc 0.781 (0.537)	Top-5 acc 2.734 (2.468)	lr 0.04983
Warmup Train [2][1060/2134]	Time 0.613 (0.632)	Data 0.002 (0.014)	Loss 6.2606 (6.2485)	Top-1 acc 0.391 (0.537)	Top-5 acc 2.344 (2.472)	lr 0.04983
Warmup Train [2][1070/2134]	Time 0.764 (0.632)	Data 0.002 (0.014)	Loss 6.2051 (6.2483)	Top-1 acc 0.391 (0.539)	Top-5 acc 1.953 (2.475)	lr 0.04983
Warmup Train [2][1080/2134]	Time 0.606 (0.632)	Data 0.002 (0.014)	Loss 6.2015 (6.2479)	Top-1 acc 0.000 (0.539)	Top-5 acc 1.562 (2.474)	lr 0.04983
Warmup Train [2][1090/2134]	Time 0.572 (0.632)	Data 0.003 (0.014)	Loss 6.2406 (6.2479)	Top-1 acc 0.781 (0.538)	Top-5 acc 3.125 (2.477)	lr 0.04982
Warmup Train [2][1100/2134]	Time 0.590 (0.632)	Data 0.002 (0.014)	Loss 6.2127 (6.2476)	Top-1 acc 0.391 (0.539)	Top-5 acc 2.734 (2.481)	lr 0.04982
Warmup Train [2][1110/2134]	Time 0.707 (0.632)	Data 0.002 (0.014)	Loss 6.2238 (6.2474)	Top-1 acc 1.562 (0.539)	Top-5 acc 3.125 (2.486)	lr 0.04982
Warmup Train [2][1120/2134]	Time 0.675 (0.632)	Data 0.002 (0.013)	Loss 6.2247 (6.2471)	Top-1 acc 0.000 (0.539)	Top-5 acc 2.344 (2.488)	lr 0.04982
Warmup Train [2][1130/2134]	Time 0.454 (0.632)	Data 0.004 (0.013)	Loss 6.1751 (6.2468)	Top-1 acc 0.781 (0.541)	Top-5 acc 4.297 (2.492)	lr 0.04982
Warmup Train [2][1140/2134]	Time 0.716 (0.632)	Data 0.002 (0.013)	Loss 6.2359 (6.2465)	Top-1 acc 0.391 (0.540)	Top-5 acc 1.953 (2.494)	lr 0.04982
Warmup Train [2][1150/2134]	Time 0.643 (0.632)	Data 0.003 (0.013)	Loss 6.2342 (6.2464)	Top-1 acc 0.781 (0.541)	Top-5 acc 2.344 (2.497)	lr 0.04982
Warmup Train [2][1160/2134]	Time 0.650 (0.632)	Data 0.002 (0.013)	Loss 6.1738 (6.2461)	Top-1 acc 1.562 (0.543)	Top-5 acc 5.078 (2.503)	lr 0.04982
Warmup Train [2][1170/2134]	Time 0.578 (0.632)	Data 0.002 (0.013)	Loss 6.2248 (6.2459)	Top-1 acc 0.391 (0.544)	Top-5 acc 2.344 (2.506)	lr 0.04982
Warmup Train [2][1180/2134]	Time 0.699 (0.632)	Data 0.002 (0.013)	Loss 6.2252 (6.2455)	Top-1 acc 0.000 (0.546)	Top-5 acc 1.562 (2.510)	lr 0.04981
Warmup Train [2][1190/2134]	Time 0.635 (0.632)	Data 0.002 (0.013)	Loss 6.2793 (6.2454)	Top-1 acc 0.391 (0.546)	Top-5 acc 1.172 (2.512)	lr 0.04981
Warmup Train [2][1200/2134]	Time 1.028 (0.632)	Data 0.002 (0.013)	Loss 6.2108 (6.2452)	Top-1 acc 1.562 (0.549)	Top-5 acc 4.688 (2.516)	lr 0.04981
Warmup Train [2][1210/2134]	Time 0.618 (0.632)	Data 0.002 (0.013)	Loss 6.1707 (6.2450)	Top-1 acc 1.172 (0.550)	Top-5 acc 2.734 (2.516)	lr 0.04981
Warmup Train [2][1220/2134]	Time 0.630 (0.632)	Data 0.002 (0.013)	Loss 6.2072 (6.2448)	Top-1 acc 1.562 (0.550)	Top-5 acc 3.125 (2.516)	lr 0.04981
Warmup Train [2][1230/2134]	Time 0.417 (0.631)	Data 0.002 (0.013)	Loss 6.2196 (6.2445)	Top-1 acc 0.781 (0.552)	Top-5 acc 1.953 (2.519)	lr 0.04981
Warmup Train [2][1240/2134]	Time 0.639 (0.631)	Data 0.003 (0.013)	Loss 6.2192 (6.2443)	Top-1 acc 0.781 (0.552)	Top-5 acc 3.516 (2.522)	lr 0.04981
Warmup Train [2][1250/2134]	Time 0.654 (0.631)	Data 0.002 (0.013)	Loss 6.1940 (6.2440)	Top-1 acc 0.391 (0.552)	Top-5 acc 2.734 (2.525)	lr 0.04981
Warmup Train [2][1260/2134]	Time 0.596 (0.631)	Data 0.002 (0.013)	Loss 6.1725 (6.2437)	Top-1 acc 1.172 (0.555)	Top-5 acc 5.078 (2.528)	lr 0.04981
Warmup Train [2][1270/2134]	Time 0.709 (0.631)	Data 0.002 (0.013)	Loss 6.2111 (6.2434)	Top-1 acc 0.391 (0.554)	Top-5 acc 1.172 (2.529)	lr 0.04980
Warmup Train [2][1280/2134]	Time 0.737 (0.631)	Data 0.002 (0.013)	Loss 6.2100 (6.2432)	Top-1 acc 1.172 (0.556)	Top-5 acc 3.516 (2.533)	lr 0.04980
Warmup Train [2][1290/2134]	Time 0.636 (0.631)	Data 0.002 (0.012)	Loss 6.2428 (6.2430)	Top-1 acc 0.000 (0.556)	Top-5 acc 0.781 (2.533)	lr 0.04980
Warmup Train [2][1300/2134]	Time 0.739 (0.631)	Data 0.002 (0.012)	Loss 6.2108 (6.2430)	Top-1 acc 0.000 (0.555)	Top-5 acc 3.516 (2.534)	lr 0.04980
Warmup Train [2][1310/2134]	Time 0.715 (0.631)	Data 0.002 (0.012)	Loss 6.1906 (6.2426)	Top-1 acc 0.000 (0.558)	Top-5 acc 3.125 (2.541)	lr 0.04980
Warmup Train [2][1320/2134]	Time 0.512 (0.631)	Data 0.002 (0.012)	Loss 6.2306 (6.2424)	Top-1 acc 0.000 (0.558)	Top-5 acc 0.781 (2.544)	lr 0.04980
Warmup Train [2][1330/2134]	Time 0.715 (0.631)	Data 0.002 (0.012)	Loss 6.2196 (6.2421)	Top-1 acc 0.391 (0.558)	Top-5 acc 2.344 (2.546)	lr 0.04980
Warmup Train [2][1340/2134]	Time 0.626 (0.631)	Data 0.002 (0.012)	Loss 6.1989 (6.2419)	Top-1 acc 0.391 (0.560)	Top-5 acc 1.562 (2.551)	lr 0.04980
Warmup Train [2][1350/2134]	Time 0.619 (0.631)	Data 0.002 (0.012)	Loss 6.2230 (6.2418)	Top-1 acc 1.953 (0.561)	Top-5 acc 4.688 (2.555)	lr 0.04979
Warmup Train [2][1360/2134]	Time 0.634 (0.631)	Data 0.002 (0.012)	Loss 6.1918 (6.2414)	Top-1 acc 0.781 (0.563)	Top-5 acc 3.516 (2.559)	lr 0.04979
Warmup Train [2][1370/2134]	Time 0.550 (0.631)	Data 0.002 (0.012)	Loss 6.1637 (6.2412)	Top-1 acc 0.000 (0.564)	Top-5 acc 2.344 (2.563)	lr 0.04979
Warmup Train [2][1380/2134]	Time 0.775 (0.631)	Data 0.002 (0.012)	Loss 6.2726 (6.2410)	Top-1 acc 0.000 (0.563)	Top-5 acc 2.344 (2.568)	lr 0.04979
Warmup Train [2][1390/2134]	Time 0.762 (0.630)	Data 0.002 (0.012)	Loss 6.1617 (6.2407)	Top-1 acc 0.000 (0.564)	Top-5 acc 2.344 (2.572)	lr 0.04979
Warmup Train [2][1400/2134]	Time 0.720 (0.630)	Data 0.002 (0.012)	Loss 6.2136 (6.2406)	Top-1 acc 1.172 (0.565)	Top-5 acc 3.906 (2.574)	lr 0.04979
Warmup Train [2][1410/2134]	Time 0.645 (0.630)	Data 0.002 (0.012)	Loss 6.2136 (6.2403)	Top-1 acc 0.391 (0.564)	Top-5 acc 1.172 (2.576)	lr 0.04979
Warmup Train [2][1420/2134]	Time 0.724 (0.630)	Data 0.002 (0.012)	Loss 6.2293 (6.2401)	Top-1 acc 0.781 (0.565)	Top-5 acc 1.562 (2.579)	lr 0.04979
Warmup Train [2][1430/2134]	Time 0.697 (0.630)	Data 0.003 (0.012)	Loss 6.2338 (6.2399)	Top-1 acc 0.391 (0.564)	Top-5 acc 3.906 (2.579)	lr 0.04979
Warmup Train [2][1440/2134]	Time 0.632 (0.630)	Data 0.002 (0.012)	Loss 6.2627 (6.2398)	Top-1 acc 0.391 (0.564)	Top-5 acc 1.562 (2.577)	lr 0.04978
Warmup Train [2][1450/2134]	Time 0.456 (0.630)	Data 0.002 (0.012)	Loss 6.1709 (6.2395)	Top-1 acc 0.781 (0.564)	Top-5 acc 3.516 (2.578)	lr 0.04978
Warmup Train [2][1460/2134]	Time 0.453 (0.630)	Data 0.002 (0.012)	Loss 6.1899 (6.2394)	Top-1 acc 0.391 (0.563)	Top-5 acc 3.125 (2.582)	lr 0.04978
Warmup Train [2][1470/2134]	Time 0.621 (0.630)	Data 0.002 (0.012)	Loss 6.1849 (6.2390)	Top-1 acc 1.172 (0.565)	Top-5 acc 3.125 (2.587)	lr 0.04978
Warmup Train [2][1480/2134]	Time 0.513 (0.630)	Data 0.002 (0.012)	Loss 6.1530 (6.2387)	Top-1 acc 0.391 (0.565)	Top-5 acc 3.516 (2.591)	lr 0.04978
Warmup Train [2][1490/2134]	Time 0.561 (0.630)	Data 0.003 (0.012)	Loss 6.2137 (6.2385)	Top-1 acc 2.344 (0.568)	Top-5 acc 3.516 (2.593)	lr 0.04978
Warmup Train [2][1500/2134]	Time 0.736 (0.630)	Data 0.002 (0.012)	Loss 6.1655 (6.2383)	Top-1 acc 0.391 (0.569)	Top-5 acc 2.734 (2.595)	lr 0.04978
Warmup Train [2][1510/2134]	Time 0.760 (0.630)	Data 0.002 (0.012)	Loss 6.1847 (6.2380)	Top-1 acc 0.000 (0.568)	Top-5 acc 1.172 (2.596)	lr 0.04978
Warmup Train [2][1520/2134]	Time 0.765 (0.630)	Data 0.002 (0.012)	Loss 6.2254 (6.2378)	Top-1 acc 0.781 (0.566)	Top-5 acc 2.734 (2.595)	lr 0.04977
Warmup Train [2][1530/2134]	Time 0.679 (0.630)	Data 0.002 (0.012)	Loss 6.1653 (6.2376)	Top-1 acc 0.391 (0.567)	Top-5 acc 2.734 (2.598)	lr 0.04977
Warmup Train [2][1540/2134]	Time 0.642 (0.630)	Data 0.002 (0.012)	Loss 6.2012 (6.2374)	Top-1 acc 0.391 (0.566)	Top-5 acc 1.562 (2.600)	lr 0.04977
Warmup Train [2][1550/2134]	Time 0.534 (0.630)	Data 0.002 (0.012)	Loss 6.2239 (6.2373)	Top-1 acc 0.391 (0.567)	Top-5 acc 3.125 (2.601)	lr 0.04977
Warmup Train [2][1560/2134]	Time 0.706 (0.630)	Data 0.002 (0.012)	Loss 6.2628 (6.2370)	Top-1 acc 0.000 (0.567)	Top-5 acc 0.781 (2.605)	lr 0.04977
Warmup Train [2][1570/2134]	Time 0.660 (0.630)	Data 0.002 (0.011)	Loss 6.2518 (6.2368)	Top-1 acc 1.172 (0.569)	Top-5 acc 3.516 (2.608)	lr 0.04977
Warmup Train [2][1580/2134]	Time 0.715 (0.630)	Data 0.002 (0.011)	Loss 6.2399 (6.2367)	Top-1 acc 0.000 (0.571)	Top-5 acc 2.344 (2.611)	lr 0.04977
Warmup Train [2][1590/2134]	Time 0.690 (0.630)	Data 0.002 (0.011)	Loss 6.1840 (6.2365)	Top-1 acc 0.781 (0.571)	Top-5 acc 3.906 (2.612)	lr 0.04977
Warmup Train [2][1600/2134]	Time 0.650 (0.629)	Data 0.002 (0.011)	Loss 6.2044 (6.2363)	Top-1 acc 0.000 (0.571)	Top-5 acc 4.297 (2.615)	lr 0.04976
Warmup Train [2][1610/2134]	Time 0.464 (0.629)	Data 0.002 (0.011)	Loss 6.1921 (6.2360)	Top-1 acc 0.391 (0.572)	Top-5 acc 3.125 (2.619)	lr 0.04976
Warmup Train [2][1620/2134]	Time 0.460 (0.629)	Data 0.005 (0.011)	Loss 6.1847 (6.2357)	Top-1 acc 0.000 (0.573)	Top-5 acc 1.953 (2.623)	lr 0.04976
Warmup Train [2][1630/2134]	Time 0.624 (0.629)	Data 0.002 (0.011)	Loss 6.2337 (6.2356)	Top-1 acc 0.000 (0.574)	Top-5 acc 1.172 (2.623)	lr 0.04976
Warmup Train [2][1640/2134]	Time 0.665 (0.629)	Data 0.003 (0.011)	Loss 6.2136 (6.2353)	Top-1 acc 0.781 (0.573)	Top-5 acc 3.906 (2.626)	lr 0.04976
Warmup Train [2][1650/2134]	Time 0.669 (0.629)	Data 0.002 (0.011)	Loss 6.1450 (6.2352)	Top-1 acc 0.391 (0.574)	Top-5 acc 5.078 (2.628)	lr 0.04976
Warmup Train [2][1660/2134]	Time 0.606 (0.629)	Data 0.002 (0.011)	Loss 6.2288 (6.2349)	Top-1 acc 1.562 (0.576)	Top-5 acc 4.688 (2.633)	lr 0.04976
Warmup Train [2][1670/2134]	Time 0.695 (0.629)	Data 0.002 (0.011)	Loss 6.1685 (6.2347)	Top-1 acc 0.391 (0.577)	Top-5 acc 2.734 (2.636)	lr 0.04976
Warmup Train [2][1680/2134]	Time 0.654 (0.629)	Data 0.002 (0.011)	Loss 6.1775 (6.2343)	Top-1 acc 0.781 (0.577)	Top-5 acc 3.125 (2.638)	lr 0.04975
Warmup Train [2][1690/2134]	Time 0.511 (0.629)	Data 0.002 (0.011)	Loss 6.1773 (6.2341)	Top-1 acc 0.391 (0.578)	Top-5 acc 2.344 (2.640)	lr 0.04975
Warmup Train [2][1700/2134]	Time 0.677 (0.629)	Data 0.002 (0.011)	Loss 6.1984 (6.2338)	Top-1 acc 1.562 (0.579)	Top-5 acc 5.469 (2.646)	lr 0.04975
Warmup Train [2][1710/2134]	Time 0.602 (0.629)	Data 0.002 (0.011)	Loss 6.2032 (6.2336)	Top-1 acc 0.391 (0.580)	Top-5 acc 2.734 (2.652)	lr 0.04975
Warmup Train [2][1720/2134]	Time 0.657 (0.629)	Data 0.002 (0.011)	Loss 6.2170 (6.2334)	Top-1 acc 0.781 (0.581)	Top-5 acc 3.125 (2.657)	lr 0.04975
Warmup Train [2][1730/2134]	Time 0.589 (0.629)	Data 0.002 (0.011)	Loss 6.1126 (6.2332)	Top-1 acc 1.562 (0.581)	Top-5 acc 4.688 (2.658)	lr 0.04975
Warmup Train [2][1740/2134]	Time 0.537 (0.629)	Data 0.002 (0.011)	Loss 6.1898 (6.2330)	Top-1 acc 0.000 (0.581)	Top-5 acc 2.734 (2.660)	lr 0.04975
Warmup Train [2][1750/2134]	Time 0.591 (0.629)	Data 0.002 (0.011)	Loss 6.1941 (6.2329)	Top-1 acc 0.781 (0.582)	Top-5 acc 2.734 (2.664)	lr 0.04975
Warmup Train [2][1760/2134]	Time 0.724 (0.629)	Data 0.003 (0.011)	Loss 6.1742 (6.2328)	Top-1 acc 0.391 (0.582)	Top-5 acc 2.344 (2.667)	lr 0.04974
Warmup Train [2][1770/2134]	Time 0.841 (0.629)	Data 0.002 (0.011)	Loss 6.2331 (6.2326)	Top-1 acc 1.172 (0.583)	Top-5 acc 3.125 (2.668)	lr 0.04974
Warmup Train [2][1780/2134]	Time 0.608 (0.629)	Data 0.003 (0.011)	Loss 6.2018 (6.2324)	Top-1 acc 1.172 (0.583)	Top-5 acc 3.906 (2.669)	lr 0.04974
Warmup Train [2][1790/2134]	Time 0.688 (0.629)	Data 0.002 (0.011)	Loss 6.1870 (6.2321)	Top-1 acc 0.000 (0.583)	Top-5 acc 1.172 (2.669)	lr 0.04974
Warmup Train [2][1800/2134]	Time 0.608 (0.629)	Data 0.002 (0.011)	Loss 6.1562 (6.2320)	Top-1 acc 1.172 (0.582)	Top-5 acc 2.344 (2.668)	lr 0.04974
Warmup Train [2][1810/2134]	Time 0.823 (0.629)	Data 0.002 (0.011)	Loss 6.2518 (6.2318)	Top-1 acc 0.000 (0.584)	Top-5 acc 1.562 (2.671)	lr 0.04974
Warmup Train [2][1820/2134]	Time 0.528 (0.629)	Data 0.002 (0.011)	Loss 6.1976 (6.2316)	Top-1 acc 0.391 (0.586)	Top-5 acc 1.562 (2.675)	lr 0.04974
Warmup Train [2][1830/2134]	Time 0.679 (0.629)	Data 0.002 (0.011)	Loss 6.2266 (6.2315)	Top-1 acc 1.562 (0.588)	Top-5 acc 3.516 (2.679)	lr 0.04973
Warmup Train [2][1840/2134]	Time 0.687 (0.629)	Data 0.003 (0.011)	Loss 6.1364 (6.2312)	Top-1 acc 0.781 (0.589)	Top-5 acc 4.297 (2.684)	lr 0.04973
Warmup Train [2][1850/2134]	Time 0.639 (0.629)	Data 0.002 (0.011)	Loss 6.2435 (6.2310)	Top-1 acc 0.391 (0.590)	Top-5 acc 1.172 (2.685)	lr 0.04973
Warmup Train [2][1860/2134]	Time 0.636 (0.629)	Data 0.002 (0.011)	Loss 6.1471 (6.2308)	Top-1 acc 0.781 (0.591)	Top-5 acc 2.734 (2.686)	lr 0.04973
Warmup Train [2][1870/2134]	Time 0.486 (0.629)	Data 0.002 (0.011)	Loss 6.1762 (6.2307)	Top-1 acc 1.172 (0.591)	Top-5 acc 5.078 (2.689)	lr 0.04973
Warmup Train [2][1880/2134]	Time 0.687 (0.629)	Data 0.002 (0.011)	Loss 6.2038 (6.2304)	Top-1 acc 0.391 (0.591)	Top-5 acc 2.734 (2.692)	lr 0.04973
Warmup Train [2][1890/2134]	Time 0.768 (0.629)	Data 0.002 (0.011)	Loss 6.1663 (6.2302)	Top-1 acc 0.391 (0.592)	Top-5 acc 3.906 (2.696)	lr 0.04973
Warmup Train [2][1900/2134]	Time 0.672 (0.629)	Data 0.003 (0.011)	Loss 6.1925 (6.2300)	Top-1 acc 0.391 (0.591)	Top-5 acc 2.734 (2.698)	lr 0.04973
Warmup Train [2][1910/2134]	Time 0.537 (0.628)	Data 0.003 (0.011)	Loss 6.2737 (6.2298)	Top-1 acc 0.781 (0.591)	Top-5 acc 3.516 (2.700)	lr 0.04972
Warmup Train [2][1920/2134]	Time 0.582 (0.629)	Data 0.002 (0.011)	Loss 6.1679 (6.2296)	Top-1 acc 0.781 (0.592)	Top-5 acc 3.906 (2.704)	lr 0.04972
Warmup Train [2][1930/2134]	Time 0.488 (0.628)	Data 0.002 (0.011)	Loss 6.1917 (6.2294)	Top-1 acc 0.781 (0.592)	Top-5 acc 3.125 (2.707)	lr 0.04972
Warmup Train [2][1940/2134]	Time 0.767 (0.628)	Data 0.002 (0.011)	Loss 6.2509 (6.2292)	Top-1 acc 0.391 (0.592)	Top-5 acc 2.344 (2.711)	lr 0.04972
Warmup Train [2][1950/2134]	Time 0.684 (0.628)	Data 0.002 (0.011)	Loss 6.1729 (6.2290)	Top-1 acc 1.562 (0.593)	Top-5 acc 5.078 (2.717)	lr 0.04972
Warmup Train [2][1960/2134]	Time 0.797 (0.628)	Data 0.002 (0.010)	Loss 6.2087 (6.2288)	Top-1 acc 1.172 (0.595)	Top-5 acc 3.125 (2.721)	lr 0.04972
Warmup Train [2][1970/2134]	Time 0.528 (0.628)	Data 0.002 (0.010)	Loss 6.2401 (6.2286)	Top-1 acc 0.391 (0.595)	Top-5 acc 0.781 (2.723)	lr 0.04972
Warmup Train [2][1980/2134]	Time 0.528 (0.628)	Data 0.002 (0.010)	Loss 6.1570 (6.2284)	Top-1 acc 0.391 (0.596)	Top-5 acc 3.516 (2.727)	lr 0.04971
Warmup Train [2][1990/2134]	Time 0.451 (0.628)	Data 0.002 (0.010)	Loss 6.1570 (6.2282)	Top-1 acc 0.000 (0.598)	Top-5 acc 4.688 (2.734)	lr 0.04971
Warmup Train [2][2000/2134]	Time 0.712 (0.628)	Data 0.002 (0.011)	Loss 6.1930 (6.2280)	Top-1 acc 0.391 (0.598)	Top-5 acc 1.172 (2.734)	lr 0.04971
Warmup Train [2][2010/2134]	Time 0.659 (0.628)	Data 0.002 (0.010)	Loss 6.1835 (6.2277)	Top-1 acc 1.172 (0.599)	Top-5 acc 4.688 (2.740)	lr 0.04971
Warmup Train [2][2020/2134]	Time 0.661 (0.628)	Data 0.002 (0.010)	Loss 6.1687 (6.2275)	Top-1 acc 3.125 (0.601)	Top-5 acc 5.859 (2.742)	lr 0.04971
Warmup Train [2][2030/2134]	Time 0.608 (0.628)	Data 0.002 (0.010)	Loss 6.2028 (6.2273)	Top-1 acc 1.562 (0.602)	Top-5 acc 3.516 (2.745)	lr 0.04971
Warmup Train [2][2040/2134]	Time 0.689 (0.628)	Data 0.002 (0.010)	Loss 6.2056 (6.2271)	Top-1 acc 0.000 (0.603)	Top-5 acc 1.953 (2.749)	lr 0.04971
Warmup Train [2][2050/2134]	Time 0.638 (0.628)	Data 0.002 (0.010)	Loss 6.1921 (6.2269)	Top-1 acc 0.781 (0.604)	Top-5 acc 3.125 (2.749)	lr 0.04970
Warmup Train [2][2060/2134]	Time 0.601 (0.628)	Data 0.002 (0.010)	Loss 6.1115 (6.2266)	Top-1 acc 0.781 (0.605)	Top-5 acc 3.516 (2.754)	lr 0.04970
Warmup Train [2][2070/2134]	Time 0.615 (0.628)	Data 0.002 (0.010)	Loss 6.2095 (6.2263)	Top-1 acc 0.391 (0.605)	Top-5 acc 1.953 (2.756)	lr 0.04970
Warmup Train [2][2080/2134]	Time 0.826 (0.628)	Data 0.000 (0.010)	Loss 6.1683 (6.2261)	Top-1 acc 1.172 (0.605)	Top-5 acc 2.734 (2.757)	lr 0.04970
Warmup Train [2][2090/2134]	Time 0.585 (0.628)	Data 0.000 (0.010)	Loss 6.1937 (6.2259)	Top-1 acc 0.391 (0.606)	Top-5 acc 2.734 (2.760)	lr 0.04970
Warmup Train [2][2100/2134]	Time 0.451 (0.628)	Data 0.000 (0.010)	Loss 6.2268 (6.2258)	Top-1 acc 1.172 (0.607)	Top-5 acc 4.297 (2.762)	lr 0.04970
Warmup Train [2][2110/2134]	Time 0.677 (0.628)	Data 0.000 (0.010)	Loss 6.1232 (6.2256)	Top-1 acc 1.172 (0.608)	Top-5 acc 4.297 (2.768)	lr 0.04970
Warmup Train [2][2120/2134]	Time 0.497 (0.627)	Data 0.000 (0.010)	Loss 6.2046 (6.2254)	Top-1 acc 0.000 (0.607)	Top-5 acc 1.953 (2.768)	lr 0.04969
Warmup Train [2][2130/2134]	Time 0.537 (0.627)	Data 0.000 (0.010)	Loss 6.1875 (6.2253)	Top-1 acc 0.781 (0.608)	Top-5 acc 3.125 (2.770)	lr 0.04969
Warmup Train [2][2134/2134]	Time 0.985 (0.627)	Data 0.000 (0.010)	Loss 6.2064 (6.2252)	Top-1 acc 0.000 (0.608)	Top-5 acc 2.674 (2.770)	lr 0.04969
==========Warmup Valid [2/40]	loss 5.979	top-1 acc 0.797	top-5 acc 3.432	Train top-1 0.608	top-5 2.770	flops: 442.4M
Warmup Train [3][0/2134]	Time 9.630 (9.630)	Data 7.667 (7.667)	Loss 6.1683 (6.1683)	Top-1 acc 1.953 (1.953)	Top-5 acc 5.078 (5.078)	lr 0.04969
Warmup Train [3][10/2134]	Time 0.486 (1.481)	Data 0.002 (0.709)	Loss 6.1590 (6.1722)	Top-1 acc 1.172 (1.030)	Top-5 acc 3.906 (4.119)	lr 0.04969
Warmup Train [3][20/2134]	Time 0.613 (1.077)	Data 0.003 (0.380)	Loss 6.2295 (6.1789)	Top-1 acc 0.391 (0.967)	Top-5 acc 3.125 (3.962)	lr 0.04969
Warmup Train [3][30/2134]	Time 0.648 (0.940)	Data 0.002 (0.258)	Loss 6.2414 (6.1741)	Top-1 acc 0.391 (0.832)	Top-5 acc 2.344 (3.679)	lr 0.04969
Warmup Train [3][40/2134]	Time 0.681 (0.865)	Data 0.003 (0.197)	Loss 6.2019 (6.1707)	Top-1 acc 0.781 (0.819)	Top-5 acc 3.516 (3.725)	lr 0.04969
Warmup Train [3][50/2134]	Time 0.680 (0.819)	Data 0.002 (0.159)	Loss 6.1547 (6.1731)	Top-1 acc 0.391 (0.858)	Top-5 acc 2.344 (3.653)	lr 0.04968
Warmup Train [3][60/2134]	Time 0.547 (0.786)	Data 0.002 (0.134)	Loss 6.2150 (6.1751)	Top-1 acc 0.781 (0.832)	Top-5 acc 2.344 (3.663)	lr 0.04968
Warmup Train [3][70/2134]	Time 0.610 (0.768)	Data 0.002 (0.116)	Loss 6.1664 (6.1762)	Top-1 acc 0.391 (0.803)	Top-5 acc 3.516 (3.615)	lr 0.04968
Warmup Train [3][80/2134]	Time 0.645 (0.747)	Data 0.002 (0.103)	Loss 6.1869 (6.1755)	Top-1 acc 1.953 (0.815)	Top-5 acc 3.516 (3.631)	lr 0.04968
Warmup Train [3][90/2134]	Time 0.707 (0.733)	Data 0.002 (0.092)	Loss 6.1883 (6.1747)	Top-1 acc 0.781 (0.841)	Top-5 acc 3.906 (3.567)	lr 0.04968
Warmup Train [3][100/2134]	Time 0.642 (0.722)	Data 0.002 (0.083)	Loss 6.1415 (6.1740)	Top-1 acc 0.000 (0.820)	Top-5 acc 1.953 (3.574)	lr 0.04968
Warmup Train [3][110/2134]	Time 0.669 (0.712)	Data 0.004 (0.076)	Loss 6.1632 (6.1749)	Top-1 acc 0.391 (0.809)	Top-5 acc 2.734 (3.530)	lr 0.04968
Warmup Train [3][120/2134]	Time 0.490 (0.702)	Data 0.002 (0.070)	Loss 6.1553 (6.1741)	Top-1 acc 0.000 (0.797)	Top-5 acc 3.906 (3.525)	lr 0.04967
Warmup Train [3][130/2134]	Time 0.390 (0.694)	Data 0.002 (0.066)	Loss 6.2211 (6.1720)	Top-1 acc 0.000 (0.775)	Top-5 acc 2.734 (3.539)	lr 0.04967
Warmup Train [3][140/2134]	Time 0.687 (0.690)	Data 0.002 (0.062)	Loss 6.2266 (6.1749)	Top-1 acc 1.172 (0.787)	Top-5 acc 3.125 (3.521)	lr 0.04967
Warmup Train [3][150/2134]	Time 0.586 (0.686)	Data 0.002 (0.059)	Loss 6.1965 (6.1751)	Top-1 acc 0.391 (0.792)	Top-5 acc 3.125 (3.547)	lr 0.04967
Warmup Train [3][160/2134]	Time 0.531 (0.682)	Data 0.002 (0.056)	Loss 6.1596 (6.1755)	Top-1 acc 0.781 (0.784)	Top-5 acc 3.516 (3.540)	lr 0.04967
Warmup Train [3][170/2134]	Time 0.603 (0.679)	Data 0.002 (0.053)	Loss 6.2148 (6.1746)	Top-1 acc 0.781 (0.790)	Top-5 acc 3.906 (3.543)	lr 0.04967
Warmup Train [3][180/2134]	Time 0.600 (0.675)	Data 0.002 (0.051)	Loss 6.1541 (6.1741)	Top-1 acc 0.391 (0.783)	Top-5 acc 5.859 (3.548)	lr 0.04967
Warmup Train [3][190/2134]	Time 0.661 (0.671)	Data 0.002 (0.049)	Loss 6.1872 (6.1741)	Top-1 acc 0.391 (0.777)	Top-5 acc 2.734 (3.520)	lr 0.04966
Warmup Train [3][200/2134]	Time 0.640 (0.669)	Data 0.002 (0.047)	Loss 6.1460 (6.1734)	Top-1 acc 1.172 (0.773)	Top-5 acc 4.688 (3.531)	lr 0.04966
Warmup Train [3][210/2134]	Time 0.651 (0.667)	Data 0.002 (0.045)	Loss 6.0970 (6.1728)	Top-1 acc 0.781 (0.774)	Top-5 acc 2.344 (3.521)	lr 0.04966
Warmup Train [3][220/2134]	Time 0.722 (0.666)	Data 0.002 (0.043)	Loss 6.1115 (6.1734)	Top-1 acc 0.781 (0.779)	Top-5 acc 4.688 (3.491)	lr 0.04966
Warmup Train [3][230/2134]	Time 0.722 (0.664)	Data 0.002 (0.041)	Loss 6.1993 (6.1728)	Top-1 acc 1.172 (0.786)	Top-5 acc 2.734 (3.490)	lr 0.04966
Warmup Train [3][240/2134]	Time 0.624 (0.662)	Data 0.002 (0.040)	Loss 6.1555 (6.1727)	Top-1 acc 0.781 (0.789)	Top-5 acc 3.906 (3.511)	lr 0.04966
Warmup Train [3][250/2134]	Time 0.727 (0.661)	Data 0.002 (0.039)	Loss 6.1593 (6.1726)	Top-1 acc 0.391 (0.772)	Top-5 acc 3.906 (3.500)	lr 0.04966
Warmup Train [3][260/2134]	Time 0.533 (0.658)	Data 0.002 (0.037)	Loss 6.1359 (6.1726)	Top-1 acc 0.781 (0.775)	Top-5 acc 3.125 (3.492)	lr 0.04965
Warmup Train [3][270/2134]	Time 0.700 (0.657)	Data 0.002 (0.037)	Loss 6.1096 (6.1721)	Top-1 acc 0.781 (0.777)	Top-5 acc 6.641 (3.503)	lr 0.04965
Warmup Train [3][280/2134]	Time 0.613 (0.657)	Data 0.002 (0.035)	Loss 6.1565 (6.1719)	Top-1 acc 0.391 (0.776)	Top-5 acc 5.469 (3.502)	lr 0.04965
Warmup Train [3][290/2134]	Time 0.719 (0.655)	Data 0.002 (0.034)	Loss 6.1561 (6.1720)	Top-1 acc 1.562 (0.784)	Top-5 acc 5.859 (3.512)	lr 0.04965
Warmup Train [3][300/2134]	Time 0.632 (0.655)	Data 0.002 (0.033)	Loss 6.2122 (6.1717)	Top-1 acc 1.953 (0.790)	Top-5 acc 3.906 (3.521)	lr 0.04965
Warmup Train [3][310/2134]	Time 0.621 (0.654)	Data 0.002 (0.032)	Loss 6.0925 (6.1713)	Top-1 acc 0.781 (0.786)	Top-5 acc 6.250 (3.518)	lr 0.04965
Warmup Train [3][320/2134]	Time 0.456 (0.653)	Data 0.003 (0.031)	Loss 6.1954 (6.1712)	Top-1 acc 1.562 (0.789)	Top-5 acc 5.078 (3.519)	lr 0.04964
Warmup Train [3][330/2134]	Time 0.667 (0.653)	Data 0.003 (0.031)	Loss 6.2083 (6.1712)	Top-1 acc 0.391 (0.790)	Top-5 acc 1.172 (3.519)	lr 0.04964
Warmup Train [3][340/2134]	Time 0.573 (0.652)	Data 0.002 (0.030)	Loss 6.1346 (6.1710)	Top-1 acc 0.391 (0.780)	Top-5 acc 3.906 (3.527)	lr 0.04964
Warmup Train [3][350/2134]	Time 0.520 (0.652)	Data 0.002 (0.030)	Loss 6.2042 (6.1710)	Top-1 acc 0.391 (0.778)	Top-5 acc 3.125 (3.531)	lr 0.04964
Warmup Train [3][360/2134]	Time 0.634 (0.651)	Data 0.002 (0.029)	Loss 6.1588 (6.1710)	Top-1 acc 0.781 (0.781)	Top-5 acc 5.078 (3.535)	lr 0.04964
Warmup Train [3][370/2134]	Time 0.583 (0.650)	Data 0.002 (0.028)	Loss 6.1798 (6.1711)	Top-1 acc 0.781 (0.780)	Top-5 acc 4.297 (3.530)	lr 0.04964
Warmup Train [3][380/2134]	Time 0.588 (0.648)	Data 0.002 (0.028)	Loss 6.2227 (6.1716)	Top-1 acc 0.391 (0.783)	Top-5 acc 5.078 (3.530)	lr 0.04964
Warmup Train [3][390/2134]	Time 0.423 (0.647)	Data 0.002 (0.027)	Loss 6.1068 (6.1715)	Top-1 acc 0.391 (0.773)	Top-5 acc 3.125 (3.538)	lr 0.04963
Warmup Train [3][400/2134]	Time 0.626 (0.646)	Data 0.002 (0.027)	Loss 6.1092 (6.1711)	Top-1 acc 1.172 (0.781)	Top-5 acc 2.734 (3.546)	lr 0.04963
Warmup Train [3][410/2134]	Time 0.530 (0.646)	Data 0.002 (0.027)	Loss 6.1922 (6.1712)	Top-1 acc 0.781 (0.780)	Top-5 acc 1.562 (3.544)	lr 0.04963
Warmup Train [3][420/2134]	Time 0.579 (0.645)	Data 0.002 (0.026)	Loss 6.2067 (6.1710)	Top-1 acc 0.391 (0.785)	Top-5 acc 2.734 (3.553)	lr 0.04963
Warmup Train [3][430/2134]	Time 0.632 (0.645)	Data 0.002 (0.026)	Loss 6.1264 (6.1709)	Top-1 acc 0.781 (0.789)	Top-5 acc 4.688 (3.563)	lr 0.04963
Warmup Train [3][440/2134]	Time 0.674 (0.644)	Data 0.002 (0.026)	Loss 6.1374 (6.1705)	Top-1 acc 0.781 (0.785)	Top-5 acc 2.734 (3.564)	lr 0.04963
Warmup Train [3][450/2134]	Time 0.508 (0.643)	Data 0.004 (0.025)	Loss 6.1887 (6.1703)	Top-1 acc 1.562 (0.787)	Top-5 acc 3.906 (3.572)	lr 0.04962
Warmup Train [3][460/2134]	Time 0.639 (0.643)	Data 0.002 (0.025)	Loss 6.2352 (6.1706)	Top-1 acc 0.781 (0.790)	Top-5 acc 1.172 (3.572)	lr 0.04962
Warmup Train [3][470/2134]	Time 0.518 (0.643)	Data 0.002 (0.024)	Loss 6.1868 (6.1712)	Top-1 acc 0.391 (0.793)	Top-5 acc 3.516 (3.562)	lr 0.04962
Warmup Train [3][480/2134]	Time 0.764 (0.643)	Data 0.002 (0.024)	Loss 6.1685 (6.1710)	Top-1 acc 0.391 (0.785)	Top-5 acc 3.125 (3.551)	lr 0.04962
Warmup Train [3][490/2134]	Time 0.440 (0.642)	Data 0.002 (0.024)	Loss 6.1448 (6.1705)	Top-1 acc 0.000 (0.786)	Top-5 acc 4.688 (3.562)	lr 0.04962
Warmup Train [3][500/2134]	Time 0.521 (0.642)	Data 0.027 (0.024)	Loss 6.1657 (6.1706)	Top-1 acc 0.391 (0.794)	Top-5 acc 3.516 (3.562)	lr 0.04962
Warmup Train [3][510/2134]	Time 0.647 (0.642)	Data 0.020 (0.023)	Loss 6.1467 (6.1703)	Top-1 acc 0.391 (0.794)	Top-5 acc 1.562 (3.566)	lr 0.04961
Warmup Train [3][520/2134]	Time 0.688 (0.641)	Data 0.005 (0.023)	Loss 6.1591 (6.1705)	Top-1 acc 0.391 (0.796)	Top-5 acc 3.906 (3.567)	lr 0.04961
Warmup Train [3][530/2134]	Time 0.643 (0.641)	Data 0.002 (0.023)	Loss 6.0953 (6.1702)	Top-1 acc 1.562 (0.800)	Top-5 acc 4.688 (3.573)	lr 0.04961
Warmup Train [3][540/2134]	Time 0.691 (0.641)	Data 0.002 (0.022)	Loss 6.1478 (6.1700)	Top-1 acc 0.781 (0.801)	Top-5 acc 4.297 (3.582)	lr 0.04961
Warmup Train [3][550/2134]	Time 0.588 (0.641)	Data 0.004 (0.022)	Loss 6.2358 (6.1696)	Top-1 acc 0.000 (0.802)	Top-5 acc 1.953 (3.587)	lr 0.04961
Warmup Train [3][560/2134]	Time 0.758 (0.641)	Data 0.002 (0.022)	Loss 6.1405 (6.1696)	Top-1 acc 2.344 (0.804)	Top-5 acc 5.078 (3.594)	lr 0.04961
Warmup Train [3][570/2134]	Time 0.703 (0.640)	Data 0.004 (0.022)	Loss 6.1086 (6.1691)	Top-1 acc 0.781 (0.807)	Top-5 acc 5.078 (3.613)	lr 0.04960
Warmup Train [3][580/2134]	Time 0.713 (0.640)	Data 0.002 (0.021)	Loss 6.1452 (6.1687)	Top-1 acc 2.344 (0.812)	Top-5 acc 4.688 (3.621)	lr 0.04960
Warmup Train [3][590/2134]	Time 0.584 (0.640)	Data 0.027 (0.021)	Loss 6.1204 (6.1682)	Top-1 acc 0.781 (0.816)	Top-5 acc 3.906 (3.634)	lr 0.04960
Warmup Train [3][600/2134]	Time 0.638 (0.639)	Data 0.002 (0.021)	Loss 6.1195 (6.1677)	Top-1 acc 0.391 (0.816)	Top-5 acc 2.734 (3.643)	lr 0.04960
Warmup Train [3][610/2134]	Time 0.611 (0.639)	Data 0.002 (0.020)	Loss 6.1300 (6.1674)	Top-1 acc 2.344 (0.821)	Top-5 acc 3.906 (3.647)	lr 0.04960
Warmup Train [3][620/2134]	Time 0.639 (0.639)	Data 0.002 (0.020)	Loss 6.1915 (6.1671)	Top-1 acc 0.781 (0.822)	Top-5 acc 3.125 (3.649)	lr 0.04960
Warmup Train [3][630/2134]	Time 0.518 (0.639)	Data 0.002 (0.020)	Loss 6.1897 (6.1670)	Top-1 acc 0.000 (0.820)	Top-5 acc 3.516 (3.652)	lr 0.04959
Warmup Train [3][640/2134]	Time 0.544 (0.638)	Data 0.002 (0.020)	Loss 6.1558 (6.1667)	Top-1 acc 0.391 (0.823)	Top-5 acc 1.953 (3.653)	lr 0.04959
Warmup Train [3][650/2134]	Time 0.608 (0.638)	Data 0.002 (0.020)	Loss 6.1292 (6.1665)	Top-1 acc 0.781 (0.823)	Top-5 acc 3.125 (3.648)	lr 0.04959
Warmup Train [3][660/2134]	Time 0.660 (0.638)	Data 0.002 (0.019)	Loss 6.1257 (6.1662)	Top-1 acc 0.391 (0.821)	Top-5 acc 3.516 (3.656)	lr 0.04959
Warmup Train [3][670/2134]	Time 1.074 (0.638)	Data 0.002 (0.019)	Loss 6.1253 (6.1659)	Top-1 acc 0.391 (0.819)	Top-5 acc 3.906 (3.654)	lr 0.04959
Warmup Train [3][680/2134]	Time 0.490 (0.638)	Data 0.004 (0.019)	Loss 6.1074 (6.1659)	Top-1 acc 0.391 (0.817)	Top-5 acc 5.078 (3.654)	lr 0.04959
Warmup Train [3][690/2134]	Time 0.515 (0.637)	Data 0.002 (0.019)	Loss 6.1072 (6.1656)	Top-1 acc 0.000 (0.817)	Top-5 acc 2.734 (3.656)	lr 0.04958
Warmup Train [3][700/2134]	Time 0.602 (0.637)	Data 0.002 (0.019)	Loss 6.2434 (6.1655)	Top-1 acc 0.000 (0.816)	Top-5 acc 2.344 (3.649)	lr 0.04958
Warmup Train [3][710/2134]	Time 0.795 (0.637)	Data 0.002 (0.018)	Loss 6.2351 (6.1654)	Top-1 acc 0.391 (0.815)	Top-5 acc 1.953 (3.653)	lr 0.04958
Warmup Train [3][720/2134]	Time 0.595 (0.636)	Data 0.002 (0.018)	Loss 6.1062 (6.1651)	Top-1 acc 0.781 (0.814)	Top-5 acc 3.125 (3.652)	lr 0.04958
Warmup Train [3][730/2134]	Time 0.621 (0.637)	Data 0.002 (0.018)	Loss 6.1216 (6.1650)	Top-1 acc 0.781 (0.813)	Top-5 acc 3.906 (3.657)	lr 0.04958
Warmup Train [3][740/2134]	Time 0.505 (0.636)	Data 0.002 (0.018)	Loss 6.1479 (6.1648)	Top-1 acc 1.172 (0.817)	Top-5 acc 4.297 (3.658)	lr 0.04958
Warmup Train [3][750/2134]	Time 0.571 (0.636)	Data 0.002 (0.018)	Loss 6.1099 (6.1647)	Top-1 acc 0.781 (0.818)	Top-5 acc 3.516 (3.655)	lr 0.04957
Warmup Train [3][760/2134]	Time 0.653 (0.636)	Data 0.002 (0.018)	Loss 6.2154 (6.1646)	Top-1 acc 0.391 (0.820)	Top-5 acc 2.734 (3.660)	lr 0.04957
Warmup Train [3][770/2134]	Time 0.605 (0.636)	Data 0.002 (0.018)	Loss 6.1579 (6.1642)	Top-1 acc 0.391 (0.822)	Top-5 acc 4.297 (3.661)	lr 0.04957
Warmup Train [3][780/2134]	Time 0.660 (0.636)	Data 0.002 (0.017)	Loss 6.1413 (6.1640)	Top-1 acc 0.391 (0.818)	Top-5 acc 4.297 (3.662)	lr 0.04957
Warmup Train [3][790/2134]	Time 0.542 (0.635)	Data 0.002 (0.017)	Loss 6.0888 (6.1637)	Top-1 acc 1.172 (0.819)	Top-5 acc 4.688 (3.662)	lr 0.04957
Warmup Train [3][800/2134]	Time 0.701 (0.635)	Data 0.002 (0.017)	Loss 6.1273 (6.1634)	Top-1 acc 1.562 (0.821)	Top-5 acc 5.078 (3.665)	lr 0.04957
Warmup Train [3][810/2134]	Time 0.720 (0.635)	Data 0.002 (0.017)	Loss 6.1568 (6.1634)	Top-1 acc 0.391 (0.821)	Top-5 acc 4.297 (3.665)	lr 0.04956
Warmup Train [3][820/2134]	Time 0.467 (0.634)	Data 0.002 (0.017)	Loss 6.1012 (6.1628)	Top-1 acc 1.562 (0.829)	Top-5 acc 4.297 (3.680)	lr 0.04956
Warmup Train [3][830/2134]	Time 0.585 (0.634)	Data 0.003 (0.017)	Loss 6.1194 (6.1623)	Top-1 acc 0.781 (0.832)	Top-5 acc 3.906 (3.687)	lr 0.04956
Warmup Train [3][840/2134]	Time 0.494 (0.634)	Data 0.002 (0.017)	Loss 6.0618 (6.1618)	Top-1 acc 0.000 (0.831)	Top-5 acc 4.688 (3.692)	lr 0.04956
Warmup Train [3][850/2134]	Time 0.595 (0.634)	Data 0.002 (0.017)	Loss 6.1557 (6.1615)	Top-1 acc 1.172 (0.833)	Top-5 acc 4.297 (3.691)	lr 0.04956
Warmup Train [3][860/2134]	Time 0.633 (0.634)	Data 0.004 (0.017)	Loss 6.1247 (6.1612)	Top-1 acc 0.391 (0.835)	Top-5 acc 2.734 (3.693)	lr 0.04956
Warmup Train [3][870/2134]	Time 0.494 (0.634)	Data 0.003 (0.016)	Loss 6.1470 (6.1611)	Top-1 acc 0.000 (0.832)	Top-5 acc 3.125 (3.685)	lr 0.04955
Warmup Train [3][880/2134]	Time 0.449 (0.633)	Data 0.002 (0.016)	Loss 6.1405 (6.1607)	Top-1 acc 0.391 (0.834)	Top-5 acc 5.859 (3.693)	lr 0.04955
Warmup Train [3][890/2134]	Time 0.573 (0.633)	Data 0.002 (0.016)	Loss 6.1848 (6.1608)	Top-1 acc 0.391 (0.832)	Top-5 acc 2.344 (3.686)	lr 0.04955
Warmup Train [3][900/2134]	Time 0.667 (0.633)	Data 0.002 (0.016)	Loss 6.1428 (6.1606)	Top-1 acc 0.781 (0.832)	Top-5 acc 3.516 (3.684)	lr 0.04955
Warmup Train [3][910/2134]	Time 0.617 (0.633)	Data 0.002 (0.016)	Loss 6.1348 (6.1603)	Top-1 acc 0.391 (0.832)	Top-5 acc 2.344 (3.685)	lr 0.04955
Warmup Train [3][920/2134]	Time 0.504 (0.633)	Data 0.002 (0.016)	Loss 6.1331 (6.1602)	Top-1 acc 0.391 (0.831)	Top-5 acc 2.734 (3.688)	lr 0.04955
Warmup Train [3][930/2134]	Time 0.572 (0.633)	Data 0.003 (0.016)	Loss 6.1440 (6.1600)	Top-1 acc 1.953 (0.836)	Top-5 acc 6.250 (3.692)	lr 0.04954
Warmup Train [3][940/2134]	Time 0.693 (0.633)	Data 0.002 (0.016)	Loss 6.0829 (6.1598)	Top-1 acc 1.953 (0.837)	Top-5 acc 4.688 (3.692)	lr 0.04954
Warmup Train [3][950/2134]	Time 0.639 (0.633)	Data 0.005 (0.016)	Loss 6.1585 (6.1597)	Top-1 acc 0.781 (0.837)	Top-5 acc 4.688 (3.693)	lr 0.04954
Warmup Train [3][960/2134]	Time 0.736 (0.633)	Data 0.003 (0.016)	Loss 6.2187 (6.1597)	Top-1 acc 0.000 (0.839)	Top-5 acc 3.906 (3.692)	lr 0.04954
Warmup Train [3][970/2134]	Time 0.686 (0.633)	Data 0.002 (0.016)	Loss 6.0570 (6.1594)	Top-1 acc 2.344 (0.838)	Top-5 acc 7.422 (3.695)	lr 0.04954
Warmup Train [3][980/2134]	Time 0.472 (0.632)	Data 0.002 (0.015)	Loss 6.1392 (6.1593)	Top-1 acc 1.562 (0.839)	Top-5 acc 5.078 (3.696)	lr 0.04954
Warmup Train [3][990/2134]	Time 0.428 (0.632)	Data 0.002 (0.015)	Loss 6.1335 (6.1592)	Top-1 acc 1.562 (0.843)	Top-5 acc 4.688 (3.700)	lr 0.04953
Warmup Train [3][1000/2134]	Time 0.594 (0.631)	Data 0.002 (0.015)	Loss 6.0780 (6.1588)	Top-1 acc 1.562 (0.844)	Top-5 acc 5.469 (3.708)	lr 0.04953
Warmup Train [3][1010/2134]	Time 0.445 (0.631)	Data 0.003 (0.015)	Loss 6.1514 (6.1584)	Top-1 acc 0.000 (0.845)	Top-5 acc 3.906 (3.714)	lr 0.04953
Warmup Train [3][1020/2134]	Time 0.659 (0.632)	Data 0.002 (0.015)	Loss 6.1408 (6.1584)	Top-1 acc 1.172 (0.844)	Top-5 acc 5.078 (3.707)	lr 0.04953
Warmup Train [3][1030/2134]	Time 0.754 (0.631)	Data 0.003 (0.015)	Loss 6.1343 (6.1583)	Top-1 acc 1.172 (0.845)	Top-5 acc 5.859 (3.714)	lr 0.04953
Warmup Train [3][1040/2134]	Time 0.480 (0.631)	Data 0.002 (0.015)	Loss 6.1588 (6.1580)	Top-1 acc 0.781 (0.848)	Top-5 acc 3.516 (3.721)	lr 0.04952
Warmup Train [3][1050/2134]	Time 0.693 (0.631)	Data 0.003 (0.015)	Loss 6.1416 (6.1578)	Top-1 acc 1.172 (0.850)	Top-5 acc 5.859 (3.727)	lr 0.04952
Warmup Train [3][1060/2134]	Time 0.644 (0.631)	Data 0.002 (0.015)	Loss 6.0875 (6.1574)	Top-1 acc 0.000 (0.850)	Top-5 acc 3.516 (3.737)	lr 0.04952
Warmup Train [3][1070/2134]	Time 0.662 (0.631)	Data 0.002 (0.015)	Loss 6.0985 (6.1571)	Top-1 acc 0.781 (0.854)	Top-5 acc 5.859 (3.746)	lr 0.04952
Warmup Train [3][1080/2134]	Time 0.675 (0.631)	Data 0.002 (0.015)	Loss 6.1945 (6.1569)	Top-1 acc 0.781 (0.852)	Top-5 acc 1.562 (3.747)	lr 0.04952
Warmup Train [3][1090/2134]	Time 0.671 (0.631)	Data 0.002 (0.015)	Loss 6.1983 (6.1570)	Top-1 acc 0.000 (0.850)	Top-5 acc 3.125 (3.743)	lr 0.04952
Warmup Train [3][1100/2134]	Time 0.639 (0.631)	Data 0.004 (0.015)	Loss 6.1812 (6.1568)	Top-1 acc 0.391 (0.850)	Top-5 acc 3.906 (3.743)	lr 0.04951
Warmup Train [3][1110/2134]	Time 0.601 (0.631)	Data 0.003 (0.015)	Loss 6.1793 (6.1566)	Top-1 acc 0.781 (0.851)	Top-5 acc 2.344 (3.737)	lr 0.04951
Warmup Train [3][1120/2134]	Time 0.627 (0.631)	Data 0.002 (0.015)	Loss 6.1028 (6.1563)	Top-1 acc 2.344 (0.852)	Top-5 acc 5.859 (3.742)	lr 0.04951
Warmup Train [3][1130/2134]	Time 0.826 (0.631)	Data 0.003 (0.014)	Loss 6.0873 (6.1560)	Top-1 acc 0.781 (0.853)	Top-5 acc 6.250 (3.754)	lr 0.04951
Warmup Train [3][1140/2134]	Time 0.676 (0.630)	Data 0.002 (0.014)	Loss 6.1901 (6.1558)	Top-1 acc 0.391 (0.853)	Top-5 acc 3.516 (3.760)	lr 0.04951
Warmup Train [3][1150/2134]	Time 0.551 (0.630)	Data 0.002 (0.014)	Loss 6.1926 (6.1555)	Top-1 acc 0.781 (0.855)	Top-5 acc 3.516 (3.759)	lr 0.04950
Warmup Train [3][1160/2134]	Time 0.733 (0.630)	Data 0.003 (0.014)	Loss 6.0697 (6.1552)	Top-1 acc 0.391 (0.856)	Top-5 acc 3.516 (3.762)	lr 0.04950
Warmup Train [3][1170/2134]	Time 0.540 (0.630)	Data 0.002 (0.014)	Loss 6.0675 (6.1551)	Top-1 acc 2.344 (0.857)	Top-5 acc 5.078 (3.757)	lr 0.04950
Warmup Train [3][1180/2134]	Time 0.488 (0.630)	Data 0.002 (0.014)	Loss 6.1458 (6.1548)	Top-1 acc 1.562 (0.856)	Top-5 acc 5.078 (3.762)	lr 0.04950
Warmup Train [3][1190/2134]	Time 0.791 (0.630)	Data 0.002 (0.014)	Loss 6.1493 (6.1545)	Top-1 acc 1.953 (0.856)	Top-5 acc 3.125 (3.768)	lr 0.04950
Warmup Train [3][1200/2134]	Time 0.608 (0.630)	Data 0.002 (0.014)	Loss 6.1615 (6.1544)	Top-1 acc 0.781 (0.855)	Top-5 acc 1.172 (3.764)	lr 0.04950
Warmup Train [3][1210/2134]	Time 0.707 (0.629)	Data 0.002 (0.014)	Loss 6.1993 (6.1542)	Top-1 acc 1.562 (0.855)	Top-5 acc 2.734 (3.765)	lr 0.04949
Warmup Train [3][1220/2134]	Time 0.513 (0.629)	Data 0.003 (0.014)	Loss 6.1882 (6.1541)	Top-1 acc 1.172 (0.858)	Top-5 acc 3.906 (3.763)	lr 0.04949
Warmup Train [3][1230/2134]	Time 0.617 (0.629)	Data 0.002 (0.014)	Loss 6.1077 (6.1539)	Top-1 acc 0.391 (0.856)	Top-5 acc 4.688 (3.768)	lr 0.04949
Warmup Train [3][1240/2134]	Time 0.609 (0.629)	Data 0.002 (0.014)	Loss 6.0711 (6.1538)	Top-1 acc 1.562 (0.856)	Top-5 acc 5.859 (3.767)	lr 0.04949
Warmup Train [3][1250/2134]	Time 0.446 (0.629)	Data 0.002 (0.014)	Loss 6.1615 (6.1536)	Top-1 acc 0.391 (0.855)	Top-5 acc 3.516 (3.769)	lr 0.04949
Warmup Train [3][1260/2134]	Time 0.682 (0.629)	Data 0.002 (0.014)	Loss 6.0838 (6.1533)	Top-1 acc 1.172 (0.855)	Top-5 acc 4.297 (3.768)	lr 0.04948
Warmup Train [3][1270/2134]	Time 0.749 (0.629)	Data 0.002 (0.014)	Loss 6.1619 (6.1532)	Top-1 acc 0.000 (0.856)	Top-5 acc 2.344 (3.768)	lr 0.04948
Warmup Train [3][1280/2134]	Time 0.436 (0.629)	Data 0.003 (0.014)	Loss 6.0902 (6.1529)	Top-1 acc 0.781 (0.855)	Top-5 acc 5.469 (3.774)	lr 0.04948
Warmup Train [3][1290/2134]	Time 0.706 (0.629)	Data 0.002 (0.014)	Loss 6.1933 (6.1528)	Top-1 acc 1.172 (0.857)	Top-5 acc 4.297 (3.778)	lr 0.04948
Warmup Train [3][1300/2134]	Time 0.599 (0.629)	Data 0.027 (0.014)	Loss 6.0935 (6.1525)	Top-1 acc 0.781 (0.858)	Top-5 acc 4.688 (3.792)	lr 0.04948
Warmup Train [3][1310/2134]	Time 0.647 (0.629)	Data 0.002 (0.014)	Loss 6.1026 (6.1523)	Top-1 acc 0.391 (0.855)	Top-5 acc 3.125 (3.792)	lr 0.04948
Warmup Train [3][1320/2134]	Time 0.639 (0.628)	Data 0.002 (0.014)	Loss 6.0622 (6.1520)	Top-1 acc 0.000 (0.855)	Top-5 acc 3.516 (3.796)	lr 0.04947
Warmup Train [3][1330/2134]	Time 0.699 (0.628)	Data 0.002 (0.013)	Loss 6.0792 (6.1518)	Top-1 acc 0.781 (0.855)	Top-5 acc 5.469 (3.800)	lr 0.04947
Warmup Train [3][1340/2134]	Time 0.671 (0.629)	Data 0.002 (0.013)	Loss 6.1121 (6.1517)	Top-1 acc 1.562 (0.857)	Top-5 acc 6.641 (3.806)	lr 0.04947
Warmup Train [3][1350/2134]	Time 0.529 (0.628)	Data 0.002 (0.013)	Loss 6.1439 (6.1514)	Top-1 acc 0.391 (0.858)	Top-5 acc 3.125 (3.809)	lr 0.04947
Warmup Train [3][1360/2134]	Time 0.516 (0.628)	Data 0.002 (0.013)	Loss 6.1308 (6.1513)	Top-1 acc 0.781 (0.861)	Top-5 acc 3.516 (3.810)	lr 0.04947
Warmup Train [3][1370/2134]	Time 0.622 (0.628)	Data 0.003 (0.013)	Loss 6.1475 (6.1512)	Top-1 acc 1.172 (0.860)	Top-5 acc 5.859 (3.817)	lr 0.04946
Warmup Train [3][1380/2134]	Time 0.497 (0.628)	Data 0.002 (0.013)	Loss 6.1315 (6.1509)	Top-1 acc 0.781 (0.860)	Top-5 acc 3.516 (3.820)	lr 0.04946
Warmup Train [3][1390/2134]	Time 0.593 (0.628)	Data 0.002 (0.013)	Loss 6.0977 (6.1505)	Top-1 acc 0.781 (0.861)	Top-5 acc 1.562 (3.822)	lr 0.04946
Warmup Train [3][1400/2134]	Time 0.584 (0.628)	Data 0.002 (0.013)	Loss 6.1112 (6.1504)	Top-1 acc 0.781 (0.861)	Top-5 acc 5.469 (3.824)	lr 0.04946
Warmup Train [3][1410/2134]	Time 0.692 (0.628)	Data 0.002 (0.013)	Loss 6.1276 (6.1503)	Top-1 acc 1.562 (0.862)	Top-5 acc 5.469 (3.827)	lr 0.04946
Warmup Train [3][1420/2134]	Time 0.652 (0.628)	Data 0.002 (0.013)	Loss 6.1729 (6.1501)	Top-1 acc 1.172 (0.865)	Top-5 acc 5.078 (3.835)	lr 0.04945
Warmup Train [3][1430/2134]	Time 0.708 (0.628)	Data 0.003 (0.013)	Loss 6.0462 (6.1497)	Top-1 acc 0.391 (0.865)	Top-5 acc 4.688 (3.840)	lr 0.04945
Warmup Train [3][1440/2134]	Time 0.540 (0.627)	Data 0.002 (0.013)	Loss 6.0459 (6.1493)	Top-1 acc 1.562 (0.867)	Top-5 acc 5.078 (3.844)	lr 0.04945
Warmup Train [3][1450/2134]	Time 0.596 (0.628)	Data 0.002 (0.013)	Loss 6.0500 (6.1490)	Top-1 acc 1.562 (0.869)	Top-5 acc 7.422 (3.854)	lr 0.04945
Warmup Train [3][1460/2134]	Time 0.657 (0.627)	Data 0.002 (0.013)	Loss 6.1690 (6.1487)	Top-1 acc 0.781 (0.871)	Top-5 acc 2.734 (3.860)	lr 0.04945
Warmup Train [3][1470/2134]	Time 0.731 (0.627)	Data 0.002 (0.013)	Loss 6.2217 (6.1487)	Top-1 acc 0.391 (0.874)	Top-5 acc 2.344 (3.863)	lr 0.04944
Warmup Train [3][1480/2134]	Time 0.447 (0.627)	Data 0.002 (0.013)	Loss 6.1680 (6.1485)	Top-1 acc 0.781 (0.873)	Top-5 acc 2.344 (3.865)	lr 0.04944
Warmup Train [3][1490/2134]	Time 0.687 (0.627)	Data 0.002 (0.013)	Loss 6.1553 (6.1482)	Top-1 acc 1.172 (0.873)	Top-5 acc 2.734 (3.865)	lr 0.04944
Warmup Train [3][1500/2134]	Time 0.400 (0.627)	Data 0.002 (0.013)	Loss 6.0308 (6.1479)	Top-1 acc 1.562 (0.875)	Top-5 acc 6.250 (3.868)	lr 0.04944
Warmup Train [3][1510/2134]	Time 0.479 (0.627)	Data 0.002 (0.013)	Loss 6.0111 (6.1476)	Top-1 acc 1.953 (0.877)	Top-5 acc 6.250 (3.871)	lr 0.04944
Warmup Train [3][1520/2134]	Time 0.431 (0.627)	Data 0.002 (0.013)	Loss 6.1475 (6.1473)	Top-1 acc 0.000 (0.878)	Top-5 acc 2.734 (3.878)	lr 0.04944
Warmup Train [3][1530/2134]	Time 0.701 (0.627)	Data 0.002 (0.013)	Loss 6.1143 (6.1471)	Top-1 acc 1.953 (0.880)	Top-5 acc 4.688 (3.887)	lr 0.04943
Warmup Train [3][1540/2134]	Time 0.636 (0.627)	Data 0.002 (0.013)	Loss 6.1363 (6.1470)	Top-1 acc 0.781 (0.880)	Top-5 acc 4.297 (3.885)	lr 0.04943
Warmup Train [3][1550/2134]	Time 0.630 (0.627)	Data 0.002 (0.013)	Loss 6.1853 (6.1468)	Top-1 acc 0.391 (0.880)	Top-5 acc 1.953 (3.888)	lr 0.04943
Warmup Train [3][1560/2134]	Time 0.649 (0.627)	Data 0.002 (0.013)	Loss 6.1832 (6.1467)	Top-1 acc 0.391 (0.880)	Top-5 acc 2.344 (3.890)	lr 0.04943
Warmup Train [3][1570/2134]	Time 0.587 (0.627)	Data 0.002 (0.013)	Loss 6.1280 (6.1463)	Top-1 acc 1.172 (0.881)	Top-5 acc 3.906 (3.892)	lr 0.04943
Warmup Train [3][1580/2134]	Time 0.595 (0.627)	Data 0.002 (0.013)	Loss 6.0533 (6.1461)	Top-1 acc 0.781 (0.883)	Top-5 acc 3.906 (3.894)	lr 0.04942
Warmup Train [3][1590/2134]	Time 0.648 (0.627)	Data 0.002 (0.013)	Loss 6.1087 (6.1458)	Top-1 acc 1.172 (0.884)	Top-5 acc 2.734 (3.894)	lr 0.04942
Warmup Train [3][1600/2134]	Time 0.689 (0.627)	Data 0.002 (0.013)	Loss 6.0516 (6.1456)	Top-1 acc 0.781 (0.882)	Top-5 acc 5.078 (3.893)	lr 0.04942
Warmup Train [3][1610/2134]	Time 0.437 (0.627)	Data 0.002 (0.013)	Loss 6.1209 (6.1455)	Top-1 acc 0.391 (0.883)	Top-5 acc 3.906 (3.896)	lr 0.04942
Warmup Train [3][1620/2134]	Time 0.623 (0.627)	Data 0.002 (0.013)	Loss 6.1667 (6.1452)	Top-1 acc 1.172 (0.886)	Top-5 acc 3.906 (3.903)	lr 0.04942
Warmup Train [3][1630/2134]	Time 0.500 (0.626)	Data 0.002 (0.012)	Loss 6.1207 (6.1450)	Top-1 acc 1.172 (0.887)	Top-5 acc 4.688 (3.907)	lr 0.04941
Warmup Train [3][1640/2134]	Time 0.620 (0.626)	Data 0.002 (0.012)	Loss 6.1247 (6.1448)	Top-1 acc 0.391 (0.887)	Top-5 acc 2.344 (3.910)	lr 0.04941
Warmup Train [3][1650/2134]	Time 0.579 (0.626)	Data 0.002 (0.012)	Loss 6.1697 (6.1446)	Top-1 acc 0.000 (0.888)	Top-5 acc 3.906 (3.915)	lr 0.04941
Warmup Train [3][1660/2134]	Time 0.589 (0.626)	Data 0.002 (0.012)	Loss 6.0640 (6.1443)	Top-1 acc 1.953 (0.889)	Top-5 acc 5.469 (3.920)	lr 0.04941
Warmup Train [3][1670/2134]	Time 0.612 (0.626)	Data 0.002 (0.012)	Loss 6.1305 (6.1441)	Top-1 acc 1.953 (0.890)	Top-5 acc 7.031 (3.925)	lr 0.04941
Warmup Train [3][1680/2134]	Time 0.721 (0.626)	Data 0.002 (0.012)	Loss 6.1032 (6.1439)	Top-1 acc 1.172 (0.891)	Top-5 acc 5.859 (3.927)	lr 0.04940
Warmup Train [3][1690/2134]	Time 0.455 (0.626)	Data 0.002 (0.012)	Loss 6.1215 (6.1438)	Top-1 acc 1.172 (0.892)	Top-5 acc 4.297 (3.927)	lr 0.04940
Warmup Train [3][1700/2134]	Time 0.494 (0.626)	Data 0.002 (0.012)	Loss 6.1000 (6.1436)	Top-1 acc 0.391 (0.894)	Top-5 acc 4.297 (3.933)	lr 0.04940
Warmup Train [3][1710/2134]	Time 0.607 (0.626)	Data 0.004 (0.012)	Loss 6.0738 (6.1436)	Top-1 acc 0.391 (0.894)	Top-5 acc 5.078 (3.933)	lr 0.04940
Warmup Train [3][1720/2134]	Time 0.477 (0.626)	Data 0.002 (0.012)	Loss 6.0813 (6.1434)	Top-1 acc 1.172 (0.895)	Top-5 acc 3.516 (3.933)	lr 0.04940
Warmup Train [3][1730/2134]	Time 0.691 (0.626)	Data 0.002 (0.012)	Loss 6.0843 (6.1431)	Top-1 acc 1.562 (0.897)	Top-5 acc 3.906 (3.937)	lr 0.04939
Warmup Train [3][1740/2134]	Time 0.682 (0.626)	Data 0.002 (0.012)	Loss 6.0889 (6.1430)	Top-1 acc 0.781 (0.897)	Top-5 acc 4.297 (3.939)	lr 0.04939
Warmup Train [3][1750/2134]	Time 0.593 (0.626)	Data 0.002 (0.012)	Loss 6.1188 (6.1430)	Top-1 acc 0.781 (0.898)	Top-5 acc 3.516 (3.940)	lr 0.04939
Warmup Train [3][1760/2134]	Time 0.643 (0.626)	Data 0.002 (0.012)	Loss 6.0802 (6.1427)	Top-1 acc 2.344 (0.900)	Top-5 acc 7.031 (3.942)	lr 0.04939
Warmup Train [3][1770/2134]	Time 0.891 (0.626)	Data 0.002 (0.012)	Loss 6.0641 (6.1424)	Top-1 acc 1.562 (0.900)	Top-5 acc 5.859 (3.944)	lr 0.04939
Warmup Train [3][1780/2134]	Time 0.607 (0.626)	Data 0.002 (0.012)	Loss 6.1410 (6.1423)	Top-1 acc 0.391 (0.900)	Top-5 acc 3.906 (3.945)	lr 0.04938
Warmup Train [3][1790/2134]	Time 0.716 (0.625)	Data 0.002 (0.012)	Loss 6.1729 (6.1421)	Top-1 acc 0.000 (0.900)	Top-5 acc 3.906 (3.948)	lr 0.04938
Warmup Train [3][1800/2134]	Time 0.521 (0.625)	Data 0.002 (0.012)	Loss 6.1640 (6.1420)	Top-1 acc 0.391 (0.900)	Top-5 acc 2.734 (3.948)	lr 0.04938
Warmup Train [3][1810/2134]	Time 0.662 (0.625)	Data 0.005 (0.012)	Loss 6.0681 (6.1416)	Top-1 acc 1.953 (0.903)	Top-5 acc 7.031 (3.956)	lr 0.04938
Warmup Train [3][1820/2134]	Time 0.629 (0.625)	Data 0.002 (0.012)	Loss 6.1899 (6.1415)	Top-1 acc 0.391 (0.903)	Top-5 acc 1.953 (3.957)	lr 0.04938
Warmup Train [3][1830/2134]	Time 0.635 (0.625)	Data 0.002 (0.012)	Loss 6.0478 (6.1413)	Top-1 acc 1.172 (0.903)	Top-5 acc 5.469 (3.959)	lr 0.04937
Warmup Train [3][1840/2134]	Time 0.666 (0.625)	Data 0.002 (0.012)	Loss 6.1796 (6.1411)	Top-1 acc 1.172 (0.903)	Top-5 acc 3.516 (3.961)	lr 0.04937
Warmup Train [3][1850/2134]	Time 0.612 (0.625)	Data 0.002 (0.012)	Loss 6.1256 (6.1408)	Top-1 acc 1.172 (0.902)	Top-5 acc 4.688 (3.959)	lr 0.04937
Warmup Train [3][1860/2134]	Time 0.608 (0.625)	Data 0.002 (0.012)	Loss 6.1164 (6.1405)	Top-1 acc 1.562 (0.904)	Top-5 acc 6.250 (3.966)	lr 0.04937
Warmup Train [3][1870/2134]	Time 0.500 (0.625)	Data 0.003 (0.012)	Loss 6.1598 (6.1402)	Top-1 acc 0.781 (0.904)	Top-5 acc 3.125 (3.969)	lr 0.04936
Warmup Train [3][1880/2134]	Time 0.451 (0.625)	Data 0.002 (0.012)	Loss 6.1253 (6.1401)	Top-1 acc 0.781 (0.904)	Top-5 acc 3.516 (3.974)	lr 0.04936
Warmup Train [3][1890/2134]	Time 0.490 (0.625)	Data 0.002 (0.012)	Loss 6.1028 (6.1398)	Top-1 acc 0.391 (0.903)	Top-5 acc 3.906 (3.975)	lr 0.04936
Warmup Train [3][1900/2134]	Time 0.663 (0.625)	Data 0.002 (0.012)	Loss 6.1280 (6.1395)	Top-1 acc 1.172 (0.904)	Top-5 acc 3.906 (3.979)	lr 0.04936
Warmup Train [3][1910/2134]	Time 0.640 (0.625)	Data 0.003 (0.012)	Loss 6.1333 (6.1393)	Top-1 acc 0.781 (0.904)	Top-5 acc 4.297 (3.982)	lr 0.04936
Warmup Train [3][1920/2134]	Time 0.744 (0.625)	Data 0.002 (0.012)	Loss 6.1130 (6.1391)	Top-1 acc 0.391 (0.906)	Top-5 acc 7.422 (3.987)	lr 0.04935
Warmup Train [3][1930/2134]	Time 0.747 (0.625)	Data 0.002 (0.012)	Loss 5.9835 (6.1389)	Top-1 acc 1.172 (0.905)	Top-5 acc 7.812 (3.988)	lr 0.04935
Warmup Train [3][1940/2134]	Time 0.400 (0.625)	Data 0.002 (0.012)	Loss 6.0924 (6.1386)	Top-1 acc 0.781 (0.906)	Top-5 acc 3.516 (3.994)	lr 0.04935
Warmup Train [3][1950/2134]	Time 0.720 (0.625)	Data 0.002 (0.012)	Loss 6.1462 (6.1384)	Top-1 acc 1.562 (0.908)	Top-5 acc 3.125 (4.000)	lr 0.04935
Warmup Train [3][1960/2134]	Time 0.668 (0.625)	Data 0.002 (0.012)	Loss 6.1596 (6.1383)	Top-1 acc 1.172 (0.909)	Top-5 acc 5.469 (4.003)	lr 0.04935
Warmup Train [3][1970/2134]	Time 0.821 (0.625)	Data 0.003 (0.012)	Loss 6.0853 (6.1381)	Top-1 acc 1.953 (0.909)	Top-5 acc 4.688 (4.005)	lr 0.04934
Warmup Train [3][1980/2134]	Time 0.344 (0.625)	Data 0.002 (0.012)	Loss 6.0277 (6.1377)	Top-1 acc 1.953 (0.910)	Top-5 acc 6.250 (4.012)	lr 0.04934
Warmup Train [3][1990/2134]	Time 0.577 (0.625)	Data 0.003 (0.012)	Loss 6.0544 (6.1375)	Top-1 acc 1.562 (0.910)	Top-5 acc 5.469 (4.014)	lr 0.04934
Warmup Train [3][2000/2134]	Time 0.600 (0.624)	Data 0.002 (0.012)	Loss 6.0778 (6.1373)	Top-1 acc 1.172 (0.912)	Top-5 acc 3.516 (4.018)	lr 0.04934
Warmup Train [3][2010/2134]	Time 0.628 (0.624)	Data 0.004 (0.012)	Loss 6.0563 (6.1371)	Top-1 acc 0.391 (0.914)	Top-5 acc 8.594 (4.023)	lr 0.04934
Warmup Train [3][2020/2134]	Time 0.652 (0.624)	Data 0.003 (0.012)	Loss 6.0866 (6.1369)	Top-1 acc 1.172 (0.913)	Top-5 acc 3.906 (4.023)	lr 0.04933
Warmup Train [3][2030/2134]	Time 0.620 (0.624)	Data 0.002 (0.012)	Loss 6.1120 (6.1367)	Top-1 acc 1.172 (0.912)	Top-5 acc 6.250 (4.028)	lr 0.04933
Warmup Train [3][2040/2134]	Time 0.627 (0.624)	Data 0.002 (0.012)	Loss 6.0873 (6.1365)	Top-1 acc 0.781 (0.913)	Top-5 acc 1.953 (4.030)	lr 0.04933
Warmup Train [3][2050/2134]	Time 0.465 (0.624)	Data 0.003 (0.012)	Loss 6.0273 (6.1363)	Top-1 acc 1.172 (0.913)	Top-5 acc 3.906 (4.035)	lr 0.04933
Warmup Train [3][2060/2134]	Time 0.673 (0.624)	Data 0.002 (0.012)	Loss 6.1346 (6.1361)	Top-1 acc 1.953 (0.916)	Top-5 acc 5.078 (4.041)	lr 0.04933
Warmup Train [3][2070/2134]	Time 0.606 (0.624)	Data 0.002 (0.012)	Loss 6.1226 (6.1359)	Top-1 acc 1.953 (0.918)	Top-5 acc 5.859 (4.045)	lr 0.04932
Warmup Train [3][2080/2134]	Time 0.615 (0.624)	Data 0.000 (0.012)	Loss 6.0925 (6.1357)	Top-1 acc 0.391 (0.919)	Top-5 acc 3.125 (4.050)	lr 0.04932
Warmup Train [3][2090/2134]	Time 0.518 (0.624)	Data 0.000 (0.012)	Loss 6.1157 (6.1356)	Top-1 acc 0.781 (0.918)	Top-5 acc 4.297 (4.050)	lr 0.04932
Warmup Train [3][2100/2134]	Time 0.504 (0.624)	Data 0.000 (0.012)	Loss 6.1540 (6.1353)	Top-1 acc 1.172 (0.919)	Top-5 acc 3.906 (4.054)	lr 0.04932
Warmup Train [3][2110/2134]	Time 0.466 (0.624)	Data 0.000 (0.012)	Loss 6.0952 (6.1352)	Top-1 acc 1.172 (0.920)	Top-5 acc 7.031 (4.056)	lr 0.04931
Warmup Train [3][2120/2134]	Time 0.644 (0.624)	Data 0.000 (0.012)	Loss 6.1154 (6.1349)	Top-1 acc 0.781 (0.923)	Top-5 acc 3.906 (4.061)	lr 0.04931
Warmup Train [3][2130/2134]	Time 0.432 (0.624)	Data 0.000 (0.011)	Loss 6.0839 (6.1349)	Top-1 acc 2.344 (0.923)	Top-5 acc 5.469 (4.063)	lr 0.04931
Warmup Train [3][2134/2134]	Time 1.443 (0.624)	Data 0.000 (0.012)	Loss 6.1089 (6.1348)	Top-1 acc 0.535 (0.923)	Top-5 acc 4.813 (4.062)	lr 0.04931
==========Warmup Valid [3/40]	loss 5.824	top-1 acc 1.459	top-5 acc 5.757	Train top-1 0.923	top-5 4.062	flops: 442.4M
Warmup Train [4][0/2134]	Time 10.773 (10.773)	Data 8.911 (8.911)	Loss 6.0756 (6.0756)	Top-1 acc 0.391 (0.391)	Top-5 acc 4.297 (4.297)	lr 0.04931
Warmup Train [4][10/2134]	Time 0.630 (1.606)	Data 0.003 (0.813)	Loss 6.1140 (6.0861)	Top-1 acc 0.781 (0.817)	Top-5 acc 3.516 (4.261)	lr 0.04931
Warmup Train [4][20/2134]	Time 0.650 (1.162)	Data 0.002 (0.427)	Loss 6.1266 (6.0849)	Top-1 acc 0.781 (1.079)	Top-5 acc 2.734 (4.446)	lr 0.04930
Warmup Train [4][30/2134]	Time 0.580 (0.985)	Data 0.002 (0.290)	Loss 6.0632 (6.0843)	Top-1 acc 0.781 (1.121)	Top-5 acc 2.734 (4.763)	lr 0.04930
Warmup Train [4][40/2134]	Time 0.619 (0.900)	Data 0.003 (0.224)	Loss 6.0334 (6.0829)	Top-1 acc 1.562 (1.172)	Top-5 acc 8.984 (5.059)	lr 0.04930
Warmup Train [4][50/2134]	Time 0.745 (0.858)	Data 0.002 (0.180)	Loss 6.1060 (6.0846)	Top-1 acc 0.391 (1.080)	Top-5 acc 3.125 (4.856)	lr 0.04930
Warmup Train [4][60/2134]	Time 0.769 (0.821)	Data 0.002 (0.152)	Loss 6.0769 (6.0872)	Top-1 acc 1.172 (1.108)	Top-5 acc 4.297 (4.828)	lr 0.04930
Warmup Train [4][70/2134]	Time 0.693 (0.791)	Data 0.004 (0.131)	Loss 6.1367 (6.0882)	Top-1 acc 1.562 (1.144)	Top-5 acc 6.250 (4.935)	lr 0.04929
Warmup Train [4][80/2134]	Time 0.493 (0.766)	Data 0.004 (0.115)	Loss 6.1557 (6.0888)	Top-1 acc 0.781 (1.128)	Top-5 acc 5.078 (4.900)	lr 0.04929
Warmup Train [4][90/2134]	Time 0.540 (0.756)	Data 0.002 (0.104)	Loss 6.0236 (6.0868)	Top-1 acc 1.953 (1.172)	Top-5 acc 5.469 (4.924)	lr 0.04929
Warmup Train [4][100/2134]	Time 0.699 (0.743)	Data 0.003 (0.095)	Loss 6.1457 (6.0873)	Top-1 acc 2.734 (1.257)	Top-5 acc 6.641 (5.051)	lr 0.04929
Warmup Train [4][110/2134]	Time 0.515 (0.731)	Data 0.002 (0.086)	Loss 6.0106 (6.0852)	Top-1 acc 2.344 (1.292)	Top-5 acc 7.812 (5.082)	lr 0.04929
Warmup Train [4][120/2134]	Time 0.637 (0.727)	Data 0.003 (0.080)	Loss 6.0982 (6.0851)	Top-1 acc 1.562 (1.278)	Top-5 acc 4.688 (5.036)	lr 0.04928
Warmup Train [4][130/2134]	Time 0.523 (0.717)	Data 0.031 (0.074)	Loss 6.1319 (6.0843)	Top-1 acc 1.172 (1.273)	Top-5 acc 5.078 (5.042)	lr 0.04928
Warmup Train [4][140/2134]	Time 0.657 (0.709)	Data 0.002 (0.070)	Loss 6.0099 (6.0835)	Top-1 acc 2.734 (1.261)	Top-5 acc 5.859 (5.031)	lr 0.04928
Warmup Train [4][150/2134]	Time 0.581 (0.703)	Data 0.002 (0.065)	Loss 6.1283 (6.0842)	Top-1 acc 1.172 (1.265)	Top-5 acc 4.688 (5.024)	lr 0.04928
Warmup Train [4][160/2134]	Time 0.759 (0.701)	Data 0.002 (0.062)	Loss 6.1734 (6.0854)	Top-1 acc 0.000 (1.245)	Top-5 acc 4.297 (4.981)	lr 0.04927
Warmup Train [4][170/2134]	Time 0.657 (0.696)	Data 0.003 (0.058)	Loss 6.0974 (6.0860)	Top-1 acc 1.953 (1.240)	Top-5 acc 7.422 (4.934)	lr 0.04927
Warmup Train [4][180/2134]	Time 0.708 (0.693)	Data 0.002 (0.055)	Loss 6.0870 (6.0862)	Top-1 acc 0.391 (1.228)	Top-5 acc 4.688 (4.938)	lr 0.04927
Warmup Train [4][190/2134]	Time 0.670 (0.694)	Data 0.002 (0.053)	Loss 6.0784 (6.0865)	Top-1 acc 0.781 (1.217)	Top-5 acc 5.469 (4.921)	lr 0.04927
Warmup Train [4][200/2134]	Time 0.497 (0.689)	Data 0.002 (0.050)	Loss 6.0669 (6.0864)	Top-1 acc 1.172 (1.205)	Top-5 acc 5.078 (4.915)	lr 0.04927
Warmup Train [4][210/2134]	Time 0.477 (0.686)	Data 0.004 (0.049)	Loss 6.1545 (6.0871)	Top-1 acc 0.391 (1.192)	Top-5 acc 2.734 (4.878)	lr 0.04926
Warmup Train [4][220/2134]	Time 0.572 (0.683)	Data 0.003 (0.047)	Loss 6.0589 (6.0875)	Top-1 acc 1.172 (1.182)	Top-5 acc 5.078 (4.880)	lr 0.04926
Warmup Train [4][230/2134]	Time 0.604 (0.683)	Data 0.003 (0.046)	Loss 6.1146 (6.0869)	Top-1 acc 1.172 (1.199)	Top-5 acc 4.688 (4.901)	lr 0.04926
Warmup Train [4][240/2134]	Time 0.622 (0.680)	Data 0.002 (0.044)	Loss 6.0195 (6.0859)	Top-1 acc 1.953 (1.199)	Top-5 acc 6.641 (4.901)	lr 0.04926
Warmup Train [4][250/2134]	Time 0.676 (0.678)	Data 0.042 (0.043)	Loss 6.0593 (6.0864)	Top-1 acc 1.172 (1.200)	Top-5 acc 6.641 (4.921)	lr 0.04925
Warmup Train [4][260/2134]	Time 0.658 (0.677)	Data 0.002 (0.041)	Loss 6.0895 (6.0855)	Top-1 acc 0.781 (1.200)	Top-5 acc 5.078 (4.916)	lr 0.04925
Warmup Train [4][270/2134]	Time 0.792 (0.675)	Data 0.002 (0.040)	Loss 6.0638 (6.0845)	Top-1 acc 0.781 (1.189)	Top-5 acc 4.688 (4.905)	lr 0.04925
Warmup Train [4][280/2134]	Time 0.598 (0.672)	Data 0.002 (0.039)	Loss 6.0963 (6.0843)	Top-1 acc 1.562 (1.191)	Top-5 acc 5.859 (4.911)	lr 0.04925
Warmup Train [4][290/2134]	Time 0.488 (0.670)	Data 0.003 (0.038)	Loss 6.1440 (6.0842)	Top-1 acc 0.781 (1.185)	Top-5 acc 3.125 (4.900)	lr 0.04925
Warmup Train [4][300/2134]	Time 0.644 (0.670)	Data 0.002 (0.037)	Loss 6.0819 (6.0838)	Top-1 acc 1.562 (1.185)	Top-5 acc 5.078 (4.913)	lr 0.04924
Warmup Train [4][310/2134]	Time 0.580 (0.668)	Data 0.002 (0.036)	Loss 6.1059 (6.0838)	Top-1 acc 1.562 (1.189)	Top-5 acc 4.688 (4.920)	lr 0.04924
Warmup Train [4][320/2134]	Time 0.684 (0.666)	Data 0.002 (0.035)	Loss 6.1073 (6.0834)	Top-1 acc 1.562 (1.189)	Top-5 acc 4.297 (4.917)	lr 0.04924
Warmup Train [4][330/2134]	Time 0.818 (0.666)	Data 0.002 (0.034)	Loss 6.0801 (6.0831)	Top-1 acc 0.781 (1.192)	Top-5 acc 3.516 (4.940)	lr 0.04924
Warmup Train [4][340/2134]	Time 0.589 (0.663)	Data 0.003 (0.033)	Loss 6.1278 (6.0831)	Top-1 acc 1.172 (1.204)	Top-5 acc 4.688 (4.941)	lr 0.04923
Warmup Train [4][350/2134]	Time 0.419 (0.661)	Data 0.002 (0.032)	Loss 6.0954 (6.0831)	Top-1 acc 0.000 (1.196)	Top-5 acc 1.953 (4.938)	lr 0.04923
Warmup Train [4][360/2134]	Time 0.771 (0.660)	Data 0.003 (0.032)	Loss 6.1357 (6.0827)	Top-1 acc 1.172 (1.195)	Top-5 acc 5.859 (4.917)	lr 0.04923
Warmup Train [4][370/2134]	Time 0.652 (0.660)	Data 0.002 (0.031)	Loss 6.0980 (6.0829)	Top-1 acc 0.000 (1.191)	Top-5 acc 5.078 (4.916)	lr 0.04923
Warmup Train [4][380/2134]	Time 0.634 (0.659)	Data 0.003 (0.031)	Loss 6.0646 (6.0820)	Top-1 acc 0.391 (1.195)	Top-5 acc 4.688 (4.943)	lr 0.04923
Warmup Train [4][390/2134]	Time 0.617 (0.657)	Data 0.003 (0.030)	Loss 6.0537 (6.0817)	Top-1 acc 0.781 (1.192)	Top-5 acc 5.859 (4.926)	lr 0.04922
Warmup Train [4][400/2134]	Time 0.613 (0.658)	Data 0.002 (0.029)	Loss 6.0018 (6.0814)	Top-1 acc 1.562 (1.192)	Top-5 acc 6.250 (4.930)	lr 0.04922
Warmup Train [4][410/2134]	Time 0.508 (0.656)	Data 0.003 (0.029)	Loss 5.9987 (6.0811)	Top-1 acc 1.953 (1.191)	Top-5 acc 2.734 (4.929)	lr 0.04922
Warmup Train [4][420/2134]	Time 0.517 (0.655)	Data 0.002 (0.028)	Loss 6.0511 (6.0807)	Top-1 acc 0.781 (1.196)	Top-5 acc 3.125 (4.931)	lr 0.04922
Warmup Train [4][430/2134]	Time 0.719 (0.654)	Data 0.002 (0.028)	Loss 6.0422 (6.0804)	Top-1 acc 0.781 (1.202)	Top-5 acc 4.297 (4.932)	lr 0.04921
Warmup Train [4][440/2134]	Time 0.485 (0.654)	Data 0.002 (0.027)	Loss 6.0405 (6.0798)	Top-1 acc 1.172 (1.206)	Top-5 acc 5.859 (4.938)	lr 0.04921
Warmup Train [4][450/2134]	Time 0.465 (0.653)	Data 0.003 (0.027)	Loss 6.0724 (6.0794)	Top-1 acc 1.562 (1.206)	Top-5 acc 6.250 (4.940)	lr 0.04921
Warmup Train [4][460/2134]	Time 0.542 (0.652)	Data 0.002 (0.027)	Loss 6.0877 (6.0793)	Top-1 acc 0.391 (1.206)	Top-5 acc 4.688 (4.953)	lr 0.04921
Warmup Train [4][470/2134]	Time 0.681 (0.651)	Data 0.004 (0.027)	Loss 6.1072 (6.0793)	Top-1 acc 1.172 (1.199)	Top-5 acc 3.125 (4.937)	lr 0.04920
Warmup Train [4][480/2134]	Time 0.785 (0.651)	Data 0.002 (0.026)	Loss 6.0704 (6.0788)	Top-1 acc 0.391 (1.201)	Top-5 acc 3.516 (4.932)	lr 0.04920
Warmup Train [4][490/2134]	Time 0.544 (0.650)	Data 0.003 (0.026)	Loss 6.0685 (6.0785)	Top-1 acc 1.562 (1.208)	Top-5 acc 3.516 (4.929)	lr 0.04920
Warmup Train [4][500/2134]	Time 0.633 (0.650)	Data 0.002 (0.025)	Loss 6.1120 (6.0785)	Top-1 acc 0.000 (1.210)	Top-5 acc 3.125 (4.935)	lr 0.04920
Warmup Train [4][510/2134]	Time 0.661 (0.650)	Data 0.002 (0.025)	Loss 6.0854 (6.0786)	Top-1 acc 0.781 (1.212)	Top-5 acc 5.469 (4.933)	lr 0.04920
Warmup Train [4][520/2134]	Time 0.744 (0.650)	Data 0.003 (0.025)	Loss 6.1150 (6.0786)	Top-1 acc 0.781 (1.209)	Top-5 acc 2.734 (4.934)	lr 0.04919
Warmup Train [4][530/2134]	Time 0.635 (0.649)	Data 0.004 (0.024)	Loss 6.0727 (6.0785)	Top-1 acc 1.562 (1.209)	Top-5 acc 7.031 (4.941)	lr 0.04919
Warmup Train [4][540/2134]	Time 0.475 (0.648)	Data 0.003 (0.024)	Loss 6.0503 (6.0785)	Top-1 acc 1.953 (1.209)	Top-5 acc 6.250 (4.940)	lr 0.04919
Warmup Train [4][550/2134]	Time 0.621 (0.649)	Data 0.002 (0.024)	Loss 6.0806 (6.0782)	Top-1 acc 1.953 (1.207)	Top-5 acc 6.250 (4.951)	lr 0.04919
Warmup Train [4][560/2134]	Time 0.794 (0.647)	Data 0.002 (0.023)	Loss 6.1048 (6.0780)	Top-1 acc 1.172 (1.208)	Top-5 acc 3.516 (4.952)	lr 0.04918
Warmup Train [4][570/2134]	Time 0.553 (0.647)	Data 0.002 (0.023)	Loss 5.9993 (6.0777)	Top-1 acc 3.906 (1.218)	Top-5 acc 7.812 (4.960)	lr 0.04918
Warmup Train [4][580/2134]	Time 0.603 (0.646)	Data 0.002 (0.023)	Loss 6.0572 (6.0774)	Top-1 acc 1.562 (1.222)	Top-5 acc 4.688 (4.959)	lr 0.04918
Warmup Train [4][590/2134]	Time 0.621 (0.646)	Data 0.002 (0.022)	Loss 6.0468 (6.0770)	Top-1 acc 1.953 (1.224)	Top-5 acc 6.250 (4.977)	lr 0.04918
Warmup Train [4][600/2134]	Time 0.612 (0.646)	Data 0.002 (0.022)	Loss 6.0377 (6.0766)	Top-1 acc 1.562 (1.226)	Top-5 acc 5.078 (4.983)	lr 0.04917
Warmup Train [4][610/2134]	Time 0.619 (0.645)	Data 0.003 (0.022)	Loss 6.0920 (6.0769)	Top-1 acc 1.172 (1.222)	Top-5 acc 3.125 (4.984)	lr 0.04917
Warmup Train [4][620/2134]	Time 0.439 (0.644)	Data 0.002 (0.021)	Loss 6.0354 (6.0762)	Top-1 acc 1.172 (1.230)	Top-5 acc 5.469 (4.994)	lr 0.04917
Warmup Train [4][630/2134]	Time 0.430 (0.644)	Data 0.002 (0.021)	Loss 6.0628 (6.0756)	Top-1 acc 1.953 (1.235)	Top-5 acc 5.469 (5.002)	lr 0.04917
Warmup Train [4][640/2134]	Time 0.461 (0.644)	Data 0.002 (0.021)	Loss 6.0929 (6.0752)	Top-1 acc 0.391 (1.232)	Top-5 acc 4.297 (5.009)	lr 0.04917
Warmup Train [4][650/2134]	Time 0.649 (0.644)	Data 0.002 (0.021)	Loss 6.0528 (6.0750)	Top-1 acc 0.391 (1.231)	Top-5 acc 3.906 (5.010)	lr 0.04916
Warmup Train [4][660/2134]	Time 0.564 (0.643)	Data 0.002 (0.021)	Loss 6.1115 (6.0749)	Top-1 acc 0.000 (1.224)	Top-5 acc 5.859 (5.000)	lr 0.04916
Warmup Train [4][670/2134]	Time 0.748 (0.643)	Data 0.003 (0.021)	Loss 5.9575 (6.0743)	Top-1 acc 1.562 (1.232)	Top-5 acc 7.812 (5.014)	lr 0.04916
Warmup Train [4][680/2134]	Time 0.609 (0.643)	Data 0.002 (0.020)	Loss 6.0299 (6.0741)	Top-1 acc 0.781 (1.236)	Top-5 acc 4.297 (5.013)	lr 0.04916
Warmup Train [4][690/2134]	Time 0.476 (0.642)	Data 0.002 (0.020)	Loss 5.9983 (6.0738)	Top-1 acc 1.953 (1.239)	Top-5 acc 7.812 (5.021)	lr 0.04915
Warmup Train [4][700/2134]	Time 1.091 (0.643)	Data 0.002 (0.020)	Loss 6.0445 (6.0737)	Top-1 acc 1.172 (1.242)	Top-5 acc 4.688 (5.024)	lr 0.04915
Warmup Train [4][710/2134]	Time 0.644 (0.642)	Data 0.002 (0.020)	Loss 6.0540 (6.0733)	Top-1 acc 0.781 (1.241)	Top-5 acc 6.641 (5.031)	lr 0.04915
Warmup Train [4][720/2134]	Time 0.579 (0.642)	Data 0.002 (0.020)	Loss 6.0380 (6.0730)	Top-1 acc 1.562 (1.241)	Top-5 acc 5.859 (5.036)	lr 0.04915
Warmup Train [4][730/2134]	Time 0.580 (0.641)	Data 0.002 (0.019)	Loss 5.9934 (6.0724)	Top-1 acc 2.734 (1.245)	Top-5 acc 5.469 (5.050)	lr 0.04914
Warmup Train [4][740/2134]	Time 0.644 (0.641)	Data 0.002 (0.019)	Loss 6.0597 (6.0724)	Top-1 acc 0.000 (1.243)	Top-5 acc 5.859 (5.050)	lr 0.04914
Warmup Train [4][750/2134]	Time 0.601 (0.640)	Data 0.002 (0.019)	Loss 6.0472 (6.0720)	Top-1 acc 2.344 (1.244)	Top-5 acc 5.078 (5.056)	lr 0.04914
Warmup Train [4][760/2134]	Time 0.665 (0.640)	Data 0.002 (0.019)	Loss 6.0752 (6.0716)	Top-1 acc 0.781 (1.240)	Top-5 acc 3.516 (5.061)	lr 0.04914
Warmup Train [4][770/2134]	Time 0.574 (0.639)	Data 0.002 (0.019)	Loss 6.0292 (6.0714)	Top-1 acc 1.172 (1.241)	Top-5 acc 7.031 (5.066)	lr 0.04913
Warmup Train [4][780/2134]	Time 0.696 (0.640)	Data 0.002 (0.019)	Loss 5.9876 (6.0712)	Top-1 acc 0.781 (1.243)	Top-5 acc 5.469 (5.068)	lr 0.04913
Warmup Train [4][790/2134]	Time 0.617 (0.639)	Data 0.002 (0.018)	Loss 6.0575 (6.0709)	Top-1 acc 1.562 (1.243)	Top-5 acc 4.688 (5.067)	lr 0.04913
Warmup Train [4][800/2134]	Time 0.531 (0.639)	Data 0.002 (0.018)	Loss 6.0288 (6.0709)	Top-1 acc 1.172 (1.242)	Top-5 acc 5.078 (5.070)	lr 0.04913
Warmup Train [4][810/2134]	Time 0.627 (0.638)	Data 0.002 (0.018)	Loss 5.9877 (6.0706)	Top-1 acc 1.562 (1.244)	Top-5 acc 7.031 (5.075)	lr 0.04912
Warmup Train [4][820/2134]	Time 0.746 (0.638)	Data 0.002 (0.018)	Loss 6.0198 (6.0702)	Top-1 acc 1.562 (1.249)	Top-5 acc 5.859 (5.087)	lr 0.04912
Warmup Train [4][830/2134]	Time 0.604 (0.638)	Data 0.002 (0.018)	Loss 6.1058 (6.0702)	Top-1 acc 1.172 (1.252)	Top-5 acc 5.859 (5.095)	lr 0.04912
Warmup Train [4][840/2134]	Time 0.670 (0.638)	Data 0.002 (0.018)	Loss 6.1197 (6.0701)	Top-1 acc 1.172 (1.248)	Top-5 acc 6.250 (5.088)	lr 0.04912
Warmup Train [4][850/2134]	Time 0.975 (0.638)	Data 0.002 (0.018)	Loss 6.1655 (6.0703)	Top-1 acc 0.781 (1.247)	Top-5 acc 2.344 (5.084)	lr 0.04911
Warmup Train [4][860/2134]	Time 0.545 (0.637)	Data 0.004 (0.017)	Loss 6.0369 (6.0703)	Top-1 acc 2.344 (1.252)	Top-5 acc 5.078 (5.088)	lr 0.04911
Warmup Train [4][870/2134]	Time 0.524 (0.637)	Data 0.002 (0.017)	Loss 5.9592 (6.0700)	Top-1 acc 1.953 (1.248)	Top-5 acc 5.859 (5.093)	lr 0.04911
Warmup Train [4][880/2134]	Time 0.753 (0.637)	Data 0.002 (0.017)	Loss 6.0711 (6.0700)	Top-1 acc 0.781 (1.253)	Top-5 acc 4.688 (5.095)	lr 0.04911
Warmup Train [4][890/2134]	Time 0.597 (0.637)	Data 0.002 (0.017)	Loss 6.0696 (6.0698)	Top-1 acc 1.953 (1.253)	Top-5 acc 6.641 (5.093)	lr 0.04911
Warmup Train [4][900/2134]	Time 0.435 (0.637)	Data 0.002 (0.017)	Loss 6.0604 (6.0695)	Top-1 acc 0.781 (1.249)	Top-5 acc 3.516 (5.092)	lr 0.04910
Warmup Train [4][910/2134]	Time 0.582 (0.637)	Data 0.002 (0.017)	Loss 6.0381 (6.0696)	Top-1 acc 1.172 (1.248)	Top-5 acc 5.859 (5.085)	lr 0.04910
Warmup Train [4][920/2134]	Time 0.677 (0.636)	Data 0.002 (0.017)	Loss 5.9976 (6.0693)	Top-1 acc 0.781 (1.249)	Top-5 acc 5.859 (5.089)	lr 0.04910
Warmup Train [4][930/2134]	Time 0.724 (0.636)	Data 0.002 (0.017)	Loss 6.1074 (6.0692)	Top-1 acc 0.781 (1.251)	Top-5 acc 3.125 (5.093)	lr 0.04910
Warmup Train [4][940/2134]	Time 0.716 (0.636)	Data 0.003 (0.017)	Loss 5.9905 (6.0690)	Top-1 acc 0.781 (1.251)	Top-5 acc 5.469 (5.096)	lr 0.04909
Warmup Train [4][950/2134]	Time 0.503 (0.636)	Data 0.002 (0.016)	Loss 6.0290 (6.0687)	Top-1 acc 0.391 (1.254)	Top-5 acc 4.297 (5.099)	lr 0.04909
Warmup Train [4][960/2134]	Time 0.606 (0.635)	Data 0.002 (0.016)	Loss 6.0820 (6.0685)	Top-1 acc 0.781 (1.256)	Top-5 acc 3.906 (5.101)	lr 0.04909
Warmup Train [4][970/2134]	Time 0.392 (0.635)	Data 0.002 (0.016)	Loss 6.0622 (6.0681)	Top-1 acc 1.953 (1.262)	Top-5 acc 5.469 (5.109)	lr 0.04909
Warmup Train [4][980/2134]	Time 0.699 (0.635)	Data 0.002 (0.016)	Loss 6.0506 (6.0678)	Top-1 acc 0.781 (1.265)	Top-5 acc 3.906 (5.112)	lr 0.04908
Warmup Train [4][990/2134]	Time 0.567 (0.635)	Data 0.002 (0.016)	Loss 6.1014 (6.0676)	Top-1 acc 0.781 (1.262)	Top-5 acc 4.297 (5.109)	lr 0.04908
Warmup Train [4][1000/2134]	Time 0.601 (0.635)	Data 0.002 (0.016)	Loss 6.0488 (6.0674)	Top-1 acc 1.953 (1.260)	Top-5 acc 6.250 (5.109)	lr 0.04908
Warmup Train [4][1010/2134]	Time 0.673 (0.635)	Data 0.002 (0.016)	Loss 6.1072 (6.0674)	Top-1 acc 0.391 (1.263)	Top-5 acc 4.688 (5.114)	lr 0.04908
Warmup Train [4][1020/2134]	Time 0.474 (0.634)	Data 0.002 (0.016)	Loss 6.0006 (6.0671)	Top-1 acc 1.562 (1.268)	Top-5 acc 5.859 (5.123)	lr 0.04907
Warmup Train [4][1030/2134]	Time 0.452 (0.634)	Data 0.002 (0.016)	Loss 6.0861 (6.0668)	Top-1 acc 1.172 (1.267)	Top-5 acc 7.031 (5.133)	lr 0.04907
Warmup Train [4][1040/2134]	Time 0.560 (0.634)	Data 0.002 (0.016)	Loss 6.0493 (6.0665)	Top-1 acc 3.125 (1.268)	Top-5 acc 6.641 (5.137)	lr 0.04907
Warmup Train [4][1050/2134]	Time 0.589 (0.634)	Data 0.002 (0.016)	Loss 5.9689 (6.0660)	Top-1 acc 2.344 (1.276)	Top-5 acc 7.812 (5.152)	lr 0.04907
Warmup Train [4][1060/2134]	Time 0.707 (0.634)	Data 0.003 (0.016)	Loss 6.0116 (6.0658)	Top-1 acc 1.562 (1.274)	Top-5 acc 5.859 (5.152)	lr 0.04906
Warmup Train [4][1070/2134]	Time 0.666 (0.634)	Data 0.002 (0.016)	Loss 6.0076 (6.0655)	Top-1 acc 2.344 (1.275)	Top-5 acc 5.469 (5.151)	lr 0.04906
Warmup Train [4][1080/2134]	Time 0.720 (0.634)	Data 0.002 (0.016)	Loss 6.0390 (6.0651)	Top-1 acc 0.781 (1.275)	Top-5 acc 4.297 (5.163)	lr 0.04906
Warmup Train [4][1090/2134]	Time 0.652 (0.634)	Data 0.002 (0.016)	Loss 6.0557 (6.0649)	Top-1 acc 1.172 (1.275)	Top-5 acc 4.688 (5.169)	lr 0.04906
Warmup Train [4][1100/2134]	Time 0.792 (0.634)	Data 0.002 (0.015)	Loss 5.9764 (6.0643)	Top-1 acc 3.125 (1.279)	Top-5 acc 8.984 (5.186)	lr 0.04905
Warmup Train [4][1110/2134]	Time 0.587 (0.633)	Data 0.002 (0.015)	Loss 6.0753 (6.0640)	Top-1 acc 1.562 (1.282)	Top-5 acc 5.859 (5.190)	lr 0.04905
Warmup Train [4][1120/2134]	Time 0.678 (0.633)	Data 0.002 (0.015)	Loss 5.9796 (6.0637)	Top-1 acc 1.562 (1.281)	Top-5 acc 6.250 (5.190)	lr 0.04905
Warmup Train [4][1130/2134]	Time 0.658 (0.633)	Data 0.002 (0.015)	Loss 6.0634 (6.0634)	Top-1 acc 2.734 (1.286)	Top-5 acc 5.859 (5.197)	lr 0.04905
Warmup Train [4][1140/2134]	Time 0.455 (0.633)	Data 0.002 (0.015)	Loss 6.0086 (6.0632)	Top-1 acc 1.953 (1.285)	Top-5 acc 6.250 (5.204)	lr 0.04904
Warmup Train [4][1150/2134]	Time 0.702 (0.632)	Data 0.002 (0.015)	Loss 6.0113 (6.0628)	Top-1 acc 1.172 (1.289)	Top-5 acc 5.078 (5.210)	lr 0.04904
Warmup Train [4][1160/2134]	Time 0.600 (0.632)	Data 0.002 (0.015)	Loss 6.0779 (6.0626)	Top-1 acc 0.391 (1.287)	Top-5 acc 6.641 (5.219)	lr 0.04904
Warmup Train [4][1170/2134]	Time 0.686 (0.632)	Data 0.002 (0.015)	Loss 6.0895 (6.0625)	Top-1 acc 1.953 (1.287)	Top-5 acc 4.688 (5.222)	lr 0.04904
Warmup Train [4][1180/2134]	Time 0.757 (0.632)	Data 0.002 (0.015)	Loss 6.0067 (6.0624)	Top-1 acc 0.000 (1.288)	Top-5 acc 4.297 (5.219)	lr 0.04903
Warmup Train [4][1190/2134]	Time 0.668 (0.632)	Data 0.002 (0.015)	Loss 6.0298 (6.0622)	Top-1 acc 1.562 (1.288)	Top-5 acc 4.688 (5.220)	lr 0.04903
Warmup Train [4][1200/2134]	Time 0.417 (0.632)	Data 0.002 (0.015)	Loss 6.0860 (6.0621)	Top-1 acc 0.781 (1.288)	Top-5 acc 4.688 (5.226)	lr 0.04903
Warmup Train [4][1210/2134]	Time 0.624 (0.632)	Data 0.002 (0.015)	Loss 6.0060 (6.0617)	Top-1 acc 0.781 (1.289)	Top-5 acc 5.469 (5.231)	lr 0.04903
Warmup Train [4][1220/2134]	Time 0.681 (0.632)	Data 0.003 (0.014)	Loss 5.9659 (6.0616)	Top-1 acc 1.562 (1.289)	Top-5 acc 7.031 (5.230)	lr 0.04902
Warmup Train [4][1230/2134]	Time 0.618 (0.632)	Data 0.002 (0.014)	Loss 5.9960 (6.0614)	Top-1 acc 0.781 (1.287)	Top-5 acc 4.688 (5.227)	lr 0.04902
Warmup Train [4][1240/2134]	Time 0.660 (0.631)	Data 0.002 (0.014)	Loss 6.0904 (6.0612)	Top-1 acc 0.781 (1.287)	Top-5 acc 5.859 (5.225)	lr 0.04902
Warmup Train [4][1250/2134]	Time 0.467 (0.631)	Data 0.002 (0.014)	Loss 6.0581 (6.0609)	Top-1 acc 0.781 (1.291)	Top-5 acc 3.516 (5.229)	lr 0.04902
Warmup Train [4][1260/2134]	Time 0.566 (0.632)	Data 0.002 (0.014)	Loss 5.9660 (6.0607)	Top-1 acc 1.172 (1.291)	Top-5 acc 8.203 (5.235)	lr 0.04901
Warmup Train [4][1270/2134]	Time 0.612 (0.631)	Data 0.003 (0.014)	Loss 6.0586 (6.0603)	Top-1 acc 1.172 (1.294)	Top-5 acc 3.516 (5.238)	lr 0.04901
Warmup Train [4][1280/2134]	Time 0.587 (0.631)	Data 0.004 (0.014)	Loss 6.0177 (6.0602)	Top-1 acc 1.172 (1.293)	Top-5 acc 8.594 (5.246)	lr 0.04901
Warmup Train [4][1290/2134]	Time 0.530 (0.631)	Data 0.002 (0.014)	Loss 6.0466 (6.0602)	Top-1 acc 1.953 (1.294)	Top-5 acc 7.422 (5.246)	lr 0.04901
Warmup Train [4][1300/2134]	Time 0.623 (0.631)	Data 0.002 (0.014)	Loss 6.0464 (6.0601)	Top-1 acc 1.562 (1.294)	Top-5 acc 4.297 (5.247)	lr 0.04900
Warmup Train [4][1310/2134]	Time 0.673 (0.631)	Data 0.003 (0.014)	Loss 6.0148 (6.0599)	Top-1 acc 1.172 (1.296)	Top-5 acc 7.812 (5.251)	lr 0.04900
Warmup Train [4][1320/2134]	Time 0.674 (0.631)	Data 0.002 (0.014)	Loss 6.0639 (6.0596)	Top-1 acc 0.391 (1.297)	Top-5 acc 4.297 (5.251)	lr 0.04900
Warmup Train [4][1330/2134]	Time 0.456 (0.631)	Data 0.002 (0.014)	Loss 6.0244 (6.0594)	Top-1 acc 1.953 (1.298)	Top-5 acc 5.078 (5.251)	lr 0.04899
Warmup Train [4][1340/2134]	Time 0.416 (0.631)	Data 0.002 (0.014)	Loss 6.0473 (6.0594)	Top-1 acc 0.781 (1.297)	Top-5 acc 3.516 (5.253)	lr 0.04899
Warmup Train [4][1350/2134]	Time 0.674 (0.631)	Data 0.002 (0.014)	Loss 5.9874 (6.0590)	Top-1 acc 1.953 (1.300)	Top-5 acc 5.859 (5.258)	lr 0.04899
Warmup Train [4][1360/2134]	Time 0.608 (0.630)	Data 0.002 (0.014)	Loss 6.0491 (6.0590)	Top-1 acc 1.953 (1.300)	Top-5 acc 7.031 (5.261)	lr 0.04899
Warmup Train [4][1370/2134]	Time 0.671 (0.631)	Data 0.002 (0.014)	Loss 6.0534 (6.0589)	Top-1 acc 1.172 (1.302)	Top-5 acc 5.469 (5.265)	lr 0.04898
Warmup Train [4][1380/2134]	Time 0.493 (0.630)	Data 0.002 (0.014)	Loss 6.0134 (6.0588)	Top-1 acc 1.172 (1.302)	Top-5 acc 5.469 (5.269)	lr 0.04898
Warmup Train [4][1390/2134]	Time 0.589 (0.630)	Data 0.002 (0.014)	Loss 6.0376 (6.0587)	Top-1 acc 1.953 (1.304)	Top-5 acc 4.297 (5.270)	lr 0.04898
Warmup Train [4][1400/2134]	Time 0.737 (0.630)	Data 0.002 (0.014)	Loss 6.0438 (6.0585)	Top-1 acc 0.391 (1.305)	Top-5 acc 4.688 (5.277)	lr 0.04898
Warmup Train [4][1410/2134]	Time 0.431 (0.630)	Data 0.002 (0.014)	Loss 6.0111 (6.0582)	Top-1 acc 0.781 (1.304)	Top-5 acc 4.297 (5.276)	lr 0.04897
Warmup Train [4][1420/2134]	Time 0.684 (0.630)	Data 0.002 (0.014)	Loss 6.0664 (6.0583)	Top-1 acc 1.953 (1.305)	Top-5 acc 7.422 (5.276)	lr 0.04897
Warmup Train [4][1430/2134]	Time 0.520 (0.630)	Data 0.002 (0.013)	Loss 6.0446 (6.0581)	Top-1 acc 1.562 (1.305)	Top-5 acc 5.469 (5.281)	lr 0.04897
Warmup Train [4][1440/2134]	Time 0.450 (0.630)	Data 0.002 (0.014)	Loss 6.1170 (6.0579)	Top-1 acc 0.391 (1.306)	Top-5 acc 2.344 (5.282)	lr 0.04897
Warmup Train [4][1450/2134]	Time 0.653 (0.630)	Data 0.002 (0.014)	Loss 6.0228 (6.0576)	Top-1 acc 1.172 (1.307)	Top-5 acc 4.688 (5.286)	lr 0.04896
Warmup Train [4][1460/2134]	Time 0.661 (0.630)	Data 0.002 (0.014)	Loss 5.9805 (6.0572)	Top-1 acc 1.953 (1.307)	Top-5 acc 6.250 (5.293)	lr 0.04896
Warmup Train [4][1470/2134]	Time 0.656 (0.630)	Data 0.002 (0.013)	Loss 6.0587 (6.0572)	Top-1 acc 1.562 (1.307)	Top-5 acc 8.203 (5.300)	lr 0.04896
Warmup Train [4][1480/2134]	Time 0.795 (0.630)	Data 0.002 (0.013)	Loss 6.0459 (6.0571)	Top-1 acc 1.172 (1.307)	Top-5 acc 5.859 (5.302)	lr 0.04896
Warmup Train [4][1490/2134]	Time 0.728 (0.630)	Data 0.002 (0.013)	Loss 6.0721 (6.0570)	Top-1 acc 2.344 (1.309)	Top-5 acc 6.641 (5.304)	lr 0.04895
Warmup Train [4][1500/2134]	Time 0.520 (0.630)	Data 0.002 (0.013)	Loss 6.0405 (6.0569)	Top-1 acc 1.562 (1.311)	Top-5 acc 4.688 (5.303)	lr 0.04895
Warmup Train [4][1510/2134]	Time 0.653 (0.630)	Data 0.003 (0.013)	Loss 5.9884 (6.0566)	Top-1 acc 3.906 (1.314)	Top-5 acc 7.031 (5.310)	lr 0.04895
Warmup Train [4][1520/2134]	Time 0.631 (0.630)	Data 0.003 (0.013)	Loss 6.0270 (6.0564)	Top-1 acc 2.344 (1.315)	Top-5 acc 6.250 (5.315)	lr 0.04895
Warmup Train [4][1530/2134]	Time 0.700 (0.630)	Data 0.002 (0.013)	Loss 5.9934 (6.0562)	Top-1 acc 3.125 (1.319)	Top-5 acc 5.859 (5.322)	lr 0.04894
Warmup Train [4][1540/2134]	Time 0.340 (0.629)	Data 0.002 (0.013)	Loss 6.0668 (6.0560)	Top-1 acc 1.953 (1.318)	Top-5 acc 4.297 (5.322)	lr 0.04894
Warmup Train [4][1550/2134]	Time 0.587 (0.629)	Data 0.002 (0.013)	Loss 5.9889 (6.0558)	Top-1 acc 1.562 (1.319)	Top-5 acc 4.297 (5.324)	lr 0.04894
Warmup Train [4][1560/2134]	Time 0.605 (0.629)	Data 0.002 (0.013)	Loss 6.0117 (6.0556)	Top-1 acc 3.516 (1.321)	Top-5 acc 6.250 (5.329)	lr 0.04893
Warmup Train [4][1570/2134]	Time 0.946 (0.629)	Data 0.002 (0.013)	Loss 6.0210 (6.0556)	Top-1 acc 2.734 (1.324)	Top-5 acc 5.469 (5.327)	lr 0.04893
Warmup Train [4][1580/2134]	Time 0.739 (0.629)	Data 0.002 (0.013)	Loss 6.0212 (6.0555)	Top-1 acc 2.734 (1.327)	Top-5 acc 5.469 (5.326)	lr 0.04893
Warmup Train [4][1590/2134]	Time 0.707 (0.629)	Data 0.002 (0.013)	Loss 6.0828 (6.0554)	Top-1 acc 0.000 (1.326)	Top-5 acc 5.469 (5.328)	lr 0.04893
Warmup Train [4][1600/2134]	Time 0.653 (0.629)	Data 0.002 (0.013)	Loss 5.9585 (6.0552)	Top-1 acc 1.172 (1.324)	Top-5 acc 10.547 (5.334)	lr 0.04892
Warmup Train [4][1610/2134]	Time 0.986 (0.629)	Data 0.002 (0.013)	Loss 6.0571 (6.0549)	Top-1 acc 0.781 (1.324)	Top-5 acc 3.516 (5.333)	lr 0.04892
Warmup Train [4][1620/2134]	Time 0.764 (0.629)	Data 0.002 (0.013)	Loss 6.0233 (6.0546)	Top-1 acc 1.953 (1.325)	Top-5 acc 4.688 (5.334)	lr 0.04892
Warmup Train [4][1630/2134]	Time 0.600 (0.629)	Data 0.002 (0.013)	Loss 6.0219 (6.0544)	Top-1 acc 3.125 (1.329)	Top-5 acc 6.250 (5.343)	lr 0.04892
Warmup Train [4][1640/2134]	Time 0.737 (0.628)	Data 0.002 (0.013)	Loss 5.9515 (6.0541)	Top-1 acc 1.953 (1.330)	Top-5 acc 7.422 (5.347)	lr 0.04891
Warmup Train [4][1650/2134]	Time 0.561 (0.628)	Data 0.002 (0.013)	Loss 5.9443 (6.0538)	Top-1 acc 1.562 (1.331)	Top-5 acc 7.422 (5.349)	lr 0.04891
Warmup Train [4][1660/2134]	Time 0.645 (0.628)	Data 0.002 (0.013)	Loss 5.9598 (6.0536)	Top-1 acc 1.953 (1.332)	Top-5 acc 5.469 (5.351)	lr 0.04891
Warmup Train [4][1670/2134]	Time 0.728 (0.628)	Data 0.002 (0.013)	Loss 6.0107 (6.0532)	Top-1 acc 1.562 (1.332)	Top-5 acc 5.078 (5.353)	lr 0.04891
Warmup Train [4][1680/2134]	Time 0.663 (0.628)	Data 0.002 (0.013)	Loss 5.9536 (6.0529)	Top-1 acc 1.562 (1.333)	Top-5 acc 5.469 (5.360)	lr 0.04890
Warmup Train [4][1690/2134]	Time 0.717 (0.628)	Data 0.002 (0.013)	Loss 6.0402 (6.0526)	Top-1 acc 2.344 (1.335)	Top-5 acc 6.250 (5.365)	lr 0.04890
Warmup Train [4][1700/2134]	Time 0.622 (0.628)	Data 0.002 (0.012)	Loss 5.9730 (6.0522)	Top-1 acc 2.344 (1.335)	Top-5 acc 5.469 (5.368)	lr 0.04890
Warmup Train [4][1710/2134]	Time 0.620 (0.628)	Data 0.002 (0.012)	Loss 6.0130 (6.0518)	Top-1 acc 1.172 (1.336)	Top-5 acc 5.078 (5.377)	lr 0.04889
Warmup Train [4][1720/2134]	Time 0.675 (0.628)	Data 0.002 (0.012)	Loss 6.0182 (6.0517)	Top-1 acc 1.953 (1.339)	Top-5 acc 5.078 (5.381)	lr 0.04889
Warmup Train [4][1730/2134]	Time 0.576 (0.628)	Data 0.002 (0.012)	Loss 6.0611 (6.0516)	Top-1 acc 1.172 (1.339)	Top-5 acc 8.203 (5.383)	lr 0.04889
Warmup Train [4][1740/2134]	Time 0.615 (0.628)	Data 0.002 (0.012)	Loss 6.0254 (6.0515)	Top-1 acc 0.391 (1.339)	Top-5 acc 3.906 (5.386)	lr 0.04889
Warmup Train [4][1750/2134]	Time 0.454 (0.628)	Data 0.003 (0.012)	Loss 6.0161 (6.0513)	Top-1 acc 0.391 (1.339)	Top-5 acc 3.906 (5.389)	lr 0.04888
Warmup Train [4][1760/2134]	Time 0.820 (0.627)	Data 0.002 (0.012)	Loss 6.0053 (6.0510)	Top-1 acc 0.781 (1.342)	Top-5 acc 3.906 (5.393)	lr 0.04888
Warmup Train [4][1770/2134]	Time 0.526 (0.627)	Data 0.002 (0.012)	Loss 5.9411 (6.0508)	Top-1 acc 0.781 (1.341)	Top-5 acc 8.203 (5.393)	lr 0.04888
Warmup Train [4][1780/2134]	Time 0.597 (0.628)	Data 0.002 (0.012)	Loss 6.0116 (6.0507)	Top-1 acc 1.562 (1.341)	Top-5 acc 4.688 (5.393)	lr 0.04888
Warmup Train [4][1790/2134]	Time 0.474 (0.627)	Data 0.003 (0.012)	Loss 5.9824 (6.0504)	Top-1 acc 1.562 (1.343)	Top-5 acc 6.641 (5.395)	lr 0.04887
Warmup Train [4][1800/2134]	Time 0.594 (0.627)	Data 0.002 (0.012)	Loss 5.9562 (6.0501)	Top-1 acc 0.781 (1.343)	Top-5 acc 5.469 (5.398)	lr 0.04887
Warmup Train [4][1810/2134]	Time 0.583 (0.627)	Data 0.002 (0.012)	Loss 5.9703 (6.0499)	Top-1 acc 1.562 (1.344)	Top-5 acc 5.469 (5.404)	lr 0.04887
Warmup Train [4][1820/2134]	Time 0.582 (0.627)	Data 0.002 (0.012)	Loss 5.9872 (6.0496)	Top-1 acc 1.562 (1.345)	Top-5 acc 5.078 (5.407)	lr 0.04886
Warmup Train [4][1830/2134]	Time 0.685 (0.628)	Data 0.003 (0.012)	Loss 5.9637 (6.0496)	Top-1 acc 1.953 (1.346)	Top-5 acc 6.250 (5.411)	lr 0.04886
Warmup Train [4][1840/2134]	Time 0.638 (0.627)	Data 0.002 (0.012)	Loss 6.0484 (6.0493)	Top-1 acc 0.781 (1.344)	Top-5 acc 5.469 (5.413)	lr 0.04886
Warmup Train [4][1850/2134]	Time 0.646 (0.627)	Data 0.002 (0.012)	Loss 5.9574 (6.0490)	Top-1 acc 1.953 (1.346)	Top-5 acc 7.812 (5.414)	lr 0.04886
Warmup Train [4][1860/2134]	Time 0.838 (0.627)	Data 0.002 (0.012)	Loss 5.9819 (6.0487)	Top-1 acc 0.391 (1.349)	Top-5 acc 5.469 (5.420)	lr 0.04885
Warmup Train [4][1870/2134]	Time 0.583 (0.627)	Data 0.002 (0.012)	Loss 5.9670 (6.0484)	Top-1 acc 2.344 (1.349)	Top-5 acc 10.156 (5.421)	lr 0.04885
Warmup Train [4][1880/2134]	Time 0.450 (0.627)	Data 0.002 (0.012)	Loss 5.9821 (6.0483)	Top-1 acc 2.344 (1.350)	Top-5 acc 7.812 (5.424)	lr 0.04885
Warmup Train [4][1890/2134]	Time 0.744 (0.627)	Data 0.002 (0.012)	Loss 6.0474 (6.0481)	Top-1 acc 0.781 (1.350)	Top-5 acc 3.516 (5.426)	lr 0.04885
Warmup Train [4][1900/2134]	Time 0.465 (0.627)	Data 0.003 (0.012)	Loss 6.0883 (6.0481)	Top-1 acc 1.172 (1.351)	Top-5 acc 3.125 (5.428)	lr 0.04884
Warmup Train [4][1910/2134]	Time 0.680 (0.627)	Data 0.002 (0.012)	Loss 6.0594 (6.0480)	Top-1 acc 1.172 (1.351)	Top-5 acc 5.859 (5.431)	lr 0.04884
Warmup Train [4][1920/2134]	Time 0.655 (0.627)	Data 0.002 (0.012)	Loss 6.0661 (6.0478)	Top-1 acc 0.391 (1.350)	Top-5 acc 2.344 (5.433)	lr 0.04884
Warmup Train [4][1930/2134]	Time 0.516 (0.627)	Data 0.002 (0.012)	Loss 6.0395 (6.0475)	Top-1 acc 1.562 (1.352)	Top-5 acc 4.688 (5.438)	lr 0.04883
Warmup Train [4][1940/2134]	Time 1.252 (0.628)	Data 0.002 (0.012)	Loss 5.9829 (6.0474)	Top-1 acc 1.953 (1.350)	Top-5 acc 5.859 (5.436)	lr 0.04883
Warmup Train [4][1950/2134]	Time 0.574 (0.627)	Data 0.002 (0.012)	Loss 5.9610 (6.0472)	Top-1 acc 1.172 (1.348)	Top-5 acc 7.812 (5.438)	lr 0.04883
Warmup Train [4][1960/2134]	Time 0.494 (0.627)	Data 0.002 (0.012)	Loss 5.9695 (6.0470)	Top-1 acc 1.172 (1.347)	Top-5 acc 6.641 (5.440)	lr 0.04883
Warmup Train [4][1970/2134]	Time 0.501 (0.627)	Data 0.002 (0.012)	Loss 6.0427 (6.0468)	Top-1 acc 1.172 (1.348)	Top-5 acc 7.031 (5.443)	lr 0.04882
Warmup Train [4][1980/2134]	Time 0.405 (0.627)	Data 0.003 (0.012)	Loss 5.9827 (6.0465)	Top-1 acc 2.344 (1.348)	Top-5 acc 7.031 (5.443)	lr 0.04882
Warmup Train [4][1990/2134]	Time 0.713 (0.627)	Data 0.002 (0.012)	Loss 5.9808 (6.0464)	Top-1 acc 1.953 (1.350)	Top-5 acc 5.859 (5.442)	lr 0.04882
Warmup Train [4][2000/2134]	Time 0.649 (0.627)	Data 0.002 (0.012)	Loss 5.9930 (6.0461)	Top-1 acc 2.344 (1.352)	Top-5 acc 8.203 (5.450)	lr 0.04881
Warmup Train [4][2010/2134]	Time 0.656 (0.627)	Data 0.002 (0.012)	Loss 5.9948 (6.0459)	Top-1 acc 3.125 (1.354)	Top-5 acc 6.641 (5.454)	lr 0.04881
Warmup Train [4][2020/2134]	Time 0.525 (0.627)	Data 0.002 (0.012)	Loss 6.1091 (6.0457)	Top-1 acc 1.953 (1.356)	Top-5 acc 5.078 (5.461)	lr 0.04881
Warmup Train [4][2030/2134]	Time 0.514 (0.627)	Data 0.002 (0.012)	Loss 5.9828 (6.0455)	Top-1 acc 1.953 (1.359)	Top-5 acc 4.297 (5.463)	lr 0.04881
Warmup Train [4][2040/2134]	Time 0.656 (0.627)	Data 0.002 (0.012)	Loss 6.0268 (6.0453)	Top-1 acc 0.391 (1.359)	Top-5 acc 4.688 (5.464)	lr 0.04880
Warmup Train [4][2050/2134]	Time 0.502 (0.627)	Data 0.002 (0.012)	Loss 6.0018 (6.0452)	Top-1 acc 1.562 (1.361)	Top-5 acc 6.641 (5.471)	lr 0.04880
Warmup Train [4][2060/2134]	Time 0.667 (0.627)	Data 0.002 (0.012)	Loss 5.9812 (6.0449)	Top-1 acc 0.391 (1.363)	Top-5 acc 3.125 (5.475)	lr 0.04880
Warmup Train [4][2070/2134]	Time 1.220 (0.627)	Data 0.001 (0.012)	Loss 5.9460 (6.0446)	Top-1 acc 2.344 (1.364)	Top-5 acc 7.031 (5.478)	lr 0.04879
Warmup Train [4][2080/2134]	Time 0.586 (0.627)	Data 0.000 (0.011)	Loss 6.0473 (6.0444)	Top-1 acc 3.125 (1.366)	Top-5 acc 6.641 (5.481)	lr 0.04879
Warmup Train [4][2090/2134]	Time 0.652 (0.627)	Data 0.000 (0.011)	Loss 5.9607 (6.0441)	Top-1 acc 1.562 (1.367)	Top-5 acc 6.641 (5.487)	lr 0.04879
Warmup Train [4][2100/2134]	Time 0.590 (0.627)	Data 0.000 (0.011)	Loss 6.0072 (6.0439)	Top-1 acc 0.781 (1.367)	Top-5 acc 5.859 (5.490)	lr 0.04879
Warmup Train [4][2110/2134]	Time 0.621 (0.626)	Data 0.000 (0.011)	Loss 5.9861 (6.0437)	Top-1 acc 0.781 (1.368)	Top-5 acc 5.859 (5.496)	lr 0.04878
Warmup Train [4][2120/2134]	Time 0.527 (0.626)	Data 0.000 (0.011)	Loss 6.0034 (6.0434)	Top-1 acc 1.562 (1.367)	Top-5 acc 6.250 (5.496)	lr 0.04878
Warmup Train [4][2130/2134]	Time 0.519 (0.626)	Data 0.000 (0.011)	Loss 5.9469 (6.0433)	Top-1 acc 2.734 (1.368)	Top-5 acc 7.812 (5.499)	lr 0.04878
Warmup Train [4][2134/2134]	Time 0.464 (0.626)	Data 0.000 (0.011)	Loss 5.9746 (6.0432)	Top-1 acc 2.139 (1.369)	Top-5 acc 4.813 (5.499)	lr 0.04878
==========Warmup Valid [4/40]	loss 5.698	top-1 acc 2.000	top-5 acc 7.239	Train top-1 1.369	top-5 5.499	flops: 442.4M
Warmup Train [5][0/2134]	Time 8.305 (8.305)	Data 6.379 (6.379)	Loss 5.9922 (5.9922)	Top-1 acc 1.562 (1.562)	Top-5 acc 7.031 (7.031)	lr 0.04878
Warmup Train [5][10/2134]	Time 0.625 (1.508)	Data 0.002 (0.587)	Loss 5.8701 (5.9605)	Top-1 acc 2.344 (1.669)	Top-5 acc 7.812 (7.280)	lr 0.04877
Warmup Train [5][20/2134]	Time 0.685 (1.091)	Data 0.002 (0.310)	Loss 5.9964 (5.9861)	Top-1 acc 1.562 (1.656)	Top-5 acc 6.641 (6.585)	lr 0.04877
Warmup Train [5][30/2134]	Time 0.673 (0.938)	Data 0.002 (0.211)	Loss 6.0073 (5.9864)	Top-1 acc 0.781 (1.663)	Top-5 acc 6.641 (6.527)	lr 0.04877
Warmup Train [5][40/2134]	Time 0.556 (0.876)	Data 0.002 (0.162)	Loss 5.9996 (5.9865)	Top-1 acc 3.125 (1.734)	Top-5 acc 7.031 (6.469)	lr 0.04877
Warmup Train [5][50/2134]	Time 0.628 (0.827)	Data 0.002 (0.132)	Loss 5.9653 (5.9850)	Top-1 acc 1.953 (1.631)	Top-5 acc 6.250 (6.526)	lr 0.04876
Warmup Train [5][60/2134]	Time 0.674 (0.793)	Data 0.003 (0.111)	Loss 5.9030 (5.9786)	Top-1 acc 1.172 (1.767)	Top-5 acc 5.859 (6.577)	lr 0.04876
Warmup Train [5][70/2134]	Time 0.535 (0.766)	Data 0.002 (0.096)	Loss 5.9215 (5.9741)	Top-1 acc 2.344 (1.799)	Top-5 acc 8.984 (6.707)	lr 0.04876
Warmup Train [5][80/2134]	Time 0.670 (0.751)	Data 0.005 (0.087)	Loss 5.9958 (5.9759)	Top-1 acc 1.562 (1.746)	Top-5 acc 6.641 (6.684)	lr 0.04875
Warmup Train [5][90/2134]	Time 0.579 (0.742)	Data 0.002 (0.078)	Loss 5.9788 (5.9770)	Top-1 acc 1.172 (1.687)	Top-5 acc 7.031 (6.632)	lr 0.04875
Warmup Train [5][100/2134]	Time 0.475 (0.725)	Data 0.002 (0.071)	Loss 5.9864 (5.9765)	Top-1 acc 0.781 (1.663)	Top-5 acc 6.641 (6.621)	lr 0.04875
Warmup Train [5][110/2134]	Time 0.566 (0.715)	Data 0.002 (0.066)	Loss 5.9083 (5.9766)	Top-1 acc 1.562 (1.672)	Top-5 acc 7.812 (6.672)	lr 0.04874
Warmup Train [5][120/2134]	Time 0.609 (0.707)	Data 0.002 (0.062)	Loss 6.0034 (5.9776)	Top-1 acc 1.953 (1.679)	Top-5 acc 5.078 (6.666)	lr 0.04874
Warmup Train [5][130/2134]	Time 0.649 (0.703)	Data 0.002 (0.057)	Loss 6.0212 (5.9797)	Top-1 acc 0.391 (1.625)	Top-5 acc 5.078 (6.638)	lr 0.04874
Warmup Train [5][140/2134]	Time 0.575 (0.697)	Data 0.002 (0.053)	Loss 5.9863 (5.9811)	Top-1 acc 0.781 (1.621)	Top-5 acc 4.297 (6.558)	lr 0.04874
Warmup Train [5][150/2134]	Time 0.565 (0.691)	Data 0.002 (0.050)	Loss 6.0689 (5.9809)	Top-1 acc 2.734 (1.635)	Top-5 acc 7.031 (6.558)	lr 0.04873
Warmup Train [5][160/2134]	Time 0.574 (0.687)	Data 0.002 (0.047)	Loss 6.0197 (5.9806)	Top-1 acc 1.562 (1.635)	Top-5 acc 5.859 (6.619)	lr 0.04873
Warmup Train [5][170/2134]	Time 0.737 (0.684)	Data 0.002 (0.045)	Loss 5.9801 (5.9802)	Top-1 acc 2.344 (1.624)	Top-5 acc 8.594 (6.643)	lr 0.04873
Warmup Train [5][180/2134]	Time 0.606 (0.682)	Data 0.002 (0.042)	Loss 5.9839 (5.9790)	Top-1 acc 0.781 (1.653)	Top-5 acc 5.859 (6.692)	lr 0.04872
Warmup Train [5][190/2134]	Time 0.666 (0.679)	Data 0.004 (0.041)	Loss 6.0135 (5.9794)	Top-1 acc 1.172 (1.642)	Top-5 acc 5.469 (6.653)	lr 0.04872
Warmup Train [5][200/2134]	Time 0.640 (0.677)	Data 0.002 (0.039)	Loss 6.1122 (5.9795)	Top-1 acc 1.172 (1.640)	Top-5 acc 5.469 (6.652)	lr 0.04872
Warmup Train [5][210/2134]	Time 0.726 (0.676)	Data 0.002 (0.037)	Loss 6.0184 (5.9800)	Top-1 acc 2.734 (1.627)	Top-5 acc 7.031 (6.642)	lr 0.04872
Warmup Train [5][220/2134]	Time 0.574 (0.675)	Data 0.003 (0.036)	Loss 5.9511 (5.9799)	Top-1 acc 1.562 (1.616)	Top-5 acc 9.375 (6.674)	lr 0.04871
Warmup Train [5][230/2134]	Time 0.609 (0.671)	Data 0.002 (0.035)	Loss 5.8965 (5.9797)	Top-1 acc 0.781 (1.612)	Top-5 acc 6.250 (6.636)	lr 0.04871
Warmup Train [5][240/2134]	Time 0.585 (0.669)	Data 0.002 (0.033)	Loss 5.9504 (5.9797)	Top-1 acc 0.781 (1.593)	Top-5 acc 5.078 (6.616)	lr 0.04871
Warmup Train [5][250/2134]	Time 0.786 (0.668)	Data 0.002 (0.032)	Loss 5.9046 (5.9800)	Top-1 acc 2.734 (1.594)	Top-5 acc 9.766 (6.603)	lr 0.04870
Warmup Train [5][260/2134]	Time 1.215 (0.667)	Data 0.002 (0.031)	Loss 5.9536 (5.9803)	Top-1 acc 0.781 (1.597)	Top-5 acc 6.250 (6.587)	lr 0.04870
Warmup Train [5][270/2134]	Time 0.740 (0.665)	Data 0.002 (0.030)	Loss 5.8903 (5.9799)	Top-1 acc 2.734 (1.603)	Top-5 acc 6.641 (6.577)	lr 0.04870
Warmup Train [5][280/2134]	Time 0.664 (0.664)	Data 0.002 (0.029)	Loss 5.8909 (5.9792)	Top-1 acc 1.172 (1.594)	Top-5 acc 8.594 (6.592)	lr 0.04870
Warmup Train [5][290/2134]	Time 0.610 (0.662)	Data 0.002 (0.028)	Loss 5.9334 (5.9788)	Top-1 acc 1.953 (1.592)	Top-5 acc 6.641 (6.584)	lr 0.04869
Warmup Train [5][300/2134]	Time 0.452 (0.660)	Data 0.002 (0.027)	Loss 5.9218 (5.9790)	Top-1 acc 0.781 (1.579)	Top-5 acc 5.078 (6.550)	lr 0.04869
Warmup Train [5][310/2134]	Time 0.533 (0.660)	Data 0.003 (0.027)	Loss 5.9097 (5.9781)	Top-1 acc 2.734 (1.590)	Top-5 acc 9.375 (6.572)	lr 0.04869
Warmup Train [5][320/2134]	Time 0.683 (0.659)	Data 0.002 (0.027)	Loss 5.8725 (5.9780)	Top-1 acc 1.562 (1.598)	Top-5 acc 7.031 (6.562)	lr 0.04868
Warmup Train [5][330/2134]	Time 0.524 (0.657)	Data 0.003 (0.026)	Loss 6.0361 (5.9785)	Top-1 acc 2.734 (1.597)	Top-5 acc 7.422 (6.541)	lr 0.04868
Warmup Train [5][340/2134]	Time 0.674 (0.656)	Data 0.003 (0.026)	Loss 5.9383 (5.9785)	Top-1 acc 1.562 (1.592)	Top-5 acc 6.250 (6.520)	lr 0.04868
Warmup Train [5][350/2134]	Time 0.601 (0.656)	Data 0.004 (0.025)	Loss 5.9721 (5.9777)	Top-1 acc 1.562 (1.586)	Top-5 acc 5.859 (6.516)	lr 0.04867
Warmup Train [5][360/2134]	Time 0.625 (0.655)	Data 0.002 (0.025)	Loss 5.8997 (5.9773)	Top-1 acc 1.562 (1.574)	Top-5 acc 5.859 (6.491)	lr 0.04867
Warmup Train [5][370/2134]	Time 0.437 (0.654)	Data 0.002 (0.024)	Loss 5.9837 (5.9776)	Top-1 acc 1.953 (1.576)	Top-5 acc 7.812 (6.492)	lr 0.04867
Warmup Train [5][380/2134]	Time 0.704 (0.654)	Data 0.002 (0.024)	Loss 5.9447 (5.9780)	Top-1 acc 1.953 (1.577)	Top-5 acc 8.984 (6.501)	lr 0.04867
Warmup Train [5][390/2134]	Time 0.576 (0.653)	Data 0.002 (0.024)	Loss 6.0652 (5.9788)	Top-1 acc 0.781 (1.580)	Top-5 acc 4.688 (6.488)	lr 0.04866
Warmup Train [5][400/2134]	Time 0.549 (0.653)	Data 0.002 (0.023)	Loss 5.9481 (5.9789)	Top-1 acc 0.781 (1.577)	Top-5 acc 5.469 (6.499)	lr 0.04866
Warmup Train [5][410/2134]	Time 0.658 (0.652)	Data 0.002 (0.023)	Loss 5.9717 (5.9785)	Top-1 acc 1.953 (1.598)	Top-5 acc 6.641 (6.515)	lr 0.04866
Warmup Train [5][420/2134]	Time 0.629 (0.651)	Data 0.002 (0.022)	Loss 5.8859 (5.9780)	Top-1 acc 2.734 (1.607)	Top-5 acc 8.984 (6.522)	lr 0.04865
Warmup Train [5][430/2134]	Time 0.489 (0.650)	Data 0.002 (0.022)	Loss 6.0016 (5.9777)	Top-1 acc 1.562 (1.611)	Top-5 acc 5.859 (6.531)	lr 0.04865
Warmup Train [5][440/2134]	Time 0.510 (0.651)	Data 0.004 (0.022)	Loss 6.0024 (5.9775)	Top-1 acc 0.391 (1.614)	Top-5 acc 6.250 (6.523)	lr 0.04865
Warmup Train [5][450/2134]	Time 0.512 (0.650)	Data 0.002 (0.021)	Loss 5.9388 (5.9776)	Top-1 acc 1.562 (1.621)	Top-5 acc 9.766 (6.519)	lr 0.04865
Warmup Train [5][460/2134]	Time 0.549 (0.649)	Data 0.003 (0.021)	Loss 5.9452 (5.9771)	Top-1 acc 1.562 (1.620)	Top-5 acc 8.594 (6.524)	lr 0.04864
Warmup Train [5][470/2134]	Time 0.621 (0.648)	Data 0.002 (0.021)	Loss 5.9852 (5.9767)	Top-1 acc 3.125 (1.629)	Top-5 acc 8.203 (6.538)	lr 0.04864
Warmup Train [5][480/2134]	Time 0.680 (0.648)	Data 0.002 (0.021)	Loss 5.9879 (5.9766)	Top-1 acc 2.344 (1.625)	Top-5 acc 4.297 (6.529)	lr 0.04864
Warmup Train [5][490/2134]	Time 0.645 (0.648)	Data 0.002 (0.020)	Loss 6.0663 (5.9768)	Top-1 acc 1.953 (1.626)	Top-5 acc 5.469 (6.534)	lr 0.04863
Warmup Train [5][500/2134]	Time 0.660 (0.647)	Data 0.002 (0.020)	Loss 5.9575 (5.9765)	Top-1 acc 2.734 (1.635)	Top-5 acc 7.031 (6.542)	lr 0.04863
Warmup Train [5][510/2134]	Time 0.605 (0.646)	Data 0.002 (0.020)	Loss 6.0431 (5.9758)	Top-1 acc 0.391 (1.631)	Top-5 acc 4.297 (6.543)	lr 0.04863
Warmup Train [5][520/2134]	Time 0.430 (0.646)	Data 0.003 (0.019)	Loss 5.9364 (5.9761)	Top-1 acc 0.000 (1.628)	Top-5 acc 3.516 (6.536)	lr 0.04862
Warmup Train [5][530/2134]	Time 0.700 (0.645)	Data 0.002 (0.019)	Loss 6.0283 (5.9758)	Top-1 acc 1.172 (1.638)	Top-5 acc 6.250 (6.546)	lr 0.04862
Warmup Train [5][540/2134]	Time 0.849 (0.646)	Data 0.002 (0.019)	Loss 5.9776 (5.9753)	Top-1 acc 1.562 (1.633)	Top-5 acc 8.203 (6.558)	lr 0.04862
Warmup Train [5][550/2134]	Time 0.729 (0.645)	Data 0.002 (0.019)	Loss 5.9011 (5.9753)	Top-1 acc 1.562 (1.632)	Top-5 acc 4.297 (6.552)	lr 0.04862
Warmup Train [5][560/2134]	Time 0.789 (0.644)	Data 0.002 (0.019)	Loss 5.9410 (5.9753)	Top-1 acc 2.344 (1.628)	Top-5 acc 7.422 (6.546)	lr 0.04861
Warmup Train [5][570/2134]	Time 0.551 (0.643)	Data 0.002 (0.018)	Loss 5.9420 (5.9754)	Top-1 acc 2.734 (1.632)	Top-5 acc 8.203 (6.546)	lr 0.04861
Warmup Train [5][580/2134]	Time 0.776 (0.643)	Data 0.002 (0.018)	Loss 5.9764 (5.9753)	Top-1 acc 1.562 (1.632)	Top-5 acc 6.250 (6.553)	lr 0.04861
Warmup Train [5][590/2134]	Time 0.688 (0.643)	Data 0.002 (0.018)	Loss 6.0382 (5.9755)	Top-1 acc 1.562 (1.635)	Top-5 acc 6.641 (6.549)	lr 0.04860
Warmup Train [5][600/2134]	Time 0.506 (0.643)	Data 0.002 (0.018)	Loss 5.9450 (5.9750)	Top-1 acc 1.172 (1.637)	Top-5 acc 6.641 (6.557)	lr 0.04860
Warmup Train [5][610/2134]	Time 0.710 (0.642)	Data 0.002 (0.017)	Loss 5.9278 (5.9747)	Top-1 acc 1.172 (1.642)	Top-5 acc 7.812 (6.557)	lr 0.04860
Warmup Train [5][620/2134]	Time 0.614 (0.642)	Data 0.003 (0.017)	Loss 5.9891 (5.9749)	Top-1 acc 2.344 (1.648)	Top-5 acc 6.641 (6.568)	lr 0.04859
Warmup Train [5][630/2134]	Time 0.425 (0.642)	Data 0.002 (0.017)	Loss 5.9571 (5.9749)	Top-1 acc 0.781 (1.647)	Top-5 acc 5.078 (6.568)	lr 0.04859
Warmup Train [5][640/2134]	Time 0.682 (0.642)	Data 0.002 (0.017)	Loss 5.9801 (5.9746)	Top-1 acc 1.953 (1.647)	Top-5 acc 6.250 (6.571)	lr 0.04859
Warmup Train [5][650/2134]	Time 0.514 (0.641)	Data 0.002 (0.017)	Loss 5.8651 (5.9745)	Top-1 acc 2.734 (1.652)	Top-5 acc 9.766 (6.578)	lr 0.04858
Warmup Train [5][660/2134]	Time 0.632 (0.641)	Data 0.002 (0.017)	Loss 5.9898 (5.9745)	Top-1 acc 0.781 (1.650)	Top-5 acc 5.469 (6.571)	lr 0.04858
Warmup Train [5][670/2134]	Time 0.635 (0.640)	Data 0.002 (0.016)	Loss 5.9739 (5.9745)	Top-1 acc 0.000 (1.643)	Top-5 acc 7.031 (6.557)	lr 0.04858
Warmup Train [5][680/2134]	Time 0.464 (0.640)	Data 0.002 (0.016)	Loss 5.9947 (5.9743)	Top-1 acc 0.781 (1.647)	Top-5 acc 4.688 (6.569)	lr 0.04858
Warmup Train [5][690/2134]	Time 0.664 (0.640)	Data 0.002 (0.016)	Loss 6.0014 (5.9742)	Top-1 acc 2.734 (1.650)	Top-5 acc 6.641 (6.568)	lr 0.04857
Warmup Train [5][700/2134]	Time 0.617 (0.640)	Data 0.002 (0.016)	Loss 6.0124 (5.9741)	Top-1 acc 2.344 (1.657)	Top-5 acc 6.250 (6.568)	lr 0.04857
Warmup Train [5][710/2134]	Time 0.605 (0.639)	Data 0.003 (0.016)	Loss 5.8557 (5.9735)	Top-1 acc 2.734 (1.661)	Top-5 acc 8.984 (6.575)	lr 0.04857
Warmup Train [5][720/2134]	Time 0.596 (0.639)	Data 0.003 (0.016)	Loss 5.9440 (5.9729)	Top-1 acc 0.781 (1.660)	Top-5 acc 3.906 (6.570)	lr 0.04856
Warmup Train [5][730/2134]	Time 0.674 (0.639)	Data 0.002 (0.016)	Loss 6.0065 (5.9729)	Top-1 acc 0.781 (1.656)	Top-5 acc 5.859 (6.574)	lr 0.04856
Warmup Train [5][740/2134]	Time 0.659 (0.638)	Data 0.002 (0.015)	Loss 5.9221 (5.9728)	Top-1 acc 0.781 (1.655)	Top-5 acc 6.250 (6.568)	lr 0.04856
Warmup Train [5][750/2134]	Time 0.629 (0.638)	Data 0.003 (0.015)	Loss 5.9855 (5.9729)	Top-1 acc 1.562 (1.657)	Top-5 acc 4.688 (6.561)	lr 0.04855
Warmup Train [5][760/2134]	Time 0.606 (0.637)	Data 0.002 (0.015)	Loss 5.8917 (5.9728)	Top-1 acc 1.172 (1.660)	Top-5 acc 7.812 (6.567)	lr 0.04855
Warmup Train [5][770/2134]	Time 0.607 (0.638)	Data 0.002 (0.015)	Loss 5.9720 (5.9725)	Top-1 acc 2.344 (1.669)	Top-5 acc 8.594 (6.571)	lr 0.04855
Warmup Train [5][780/2134]	Time 0.574 (0.638)	Data 0.002 (0.015)	Loss 5.8891 (5.9726)	Top-1 acc 2.734 (1.669)	Top-5 acc 9.375 (6.566)	lr 0.04854
Warmup Train [5][790/2134]	Time 0.711 (0.637)	Data 0.003 (0.015)	Loss 5.9635 (5.9725)	Top-1 acc 0.781 (1.662)	Top-5 acc 6.250 (6.561)	lr 0.04854
Warmup Train [5][800/2134]	Time 0.648 (0.637)	Data 0.004 (0.015)	Loss 5.9542 (5.9725)	Top-1 acc 3.125 (1.665)	Top-5 acc 8.594 (6.555)	lr 0.04854
Warmup Train [5][810/2134]	Time 0.653 (0.637)	Data 0.002 (0.015)	Loss 5.8932 (5.9717)	Top-1 acc 2.344 (1.666)	Top-5 acc 6.250 (6.561)	lr 0.04854
Warmup Train [5][820/2134]	Time 0.632 (0.637)	Data 0.002 (0.015)	Loss 5.9453 (5.9713)	Top-1 acc 1.172 (1.672)	Top-5 acc 4.688 (6.560)	lr 0.04853
Warmup Train [5][830/2134]	Time 0.592 (0.637)	Data 0.002 (0.014)	Loss 5.8752 (5.9706)	Top-1 acc 2.344 (1.671)	Top-5 acc 8.594 (6.566)	lr 0.04853
Warmup Train [5][840/2134]	Time 0.607 (0.636)	Data 0.002 (0.014)	Loss 5.9277 (5.9703)	Top-1 acc 1.172 (1.672)	Top-5 acc 6.250 (6.575)	lr 0.04853
Warmup Train [5][850/2134]	Time 0.806 (0.636)	Data 0.002 (0.014)	Loss 5.9647 (5.9703)	Top-1 acc 0.781 (1.668)	Top-5 acc 6.250 (6.564)	lr 0.04852
Warmup Train [5][860/2134]	Time 0.648 (0.636)	Data 0.002 (0.014)	Loss 5.9591 (5.9700)	Top-1 acc 1.172 (1.671)	Top-5 acc 6.641 (6.569)	lr 0.04852
Warmup Train [5][870/2134]	Time 0.772 (0.636)	Data 0.002 (0.014)	Loss 5.9148 (5.9699)	Top-1 acc 2.344 (1.674)	Top-5 acc 7.031 (6.572)	lr 0.04852
Warmup Train [5][880/2134]	Time 0.385 (0.636)	Data 0.002 (0.014)	Loss 5.9620 (5.9697)	Top-1 acc 1.953 (1.679)	Top-5 acc 5.469 (6.583)	lr 0.04851
Warmup Train [5][890/2134]	Time 0.667 (0.636)	Data 0.002 (0.014)	Loss 6.0174 (5.9695)	Top-1 acc 1.562 (1.678)	Top-5 acc 4.688 (6.587)	lr 0.04851
Warmup Train [5][900/2134]	Time 0.621 (0.635)	Data 0.002 (0.014)	Loss 5.9752 (5.9692)	Top-1 acc 1.172 (1.677)	Top-5 acc 7.422 (6.591)	lr 0.04851
Warmup Train [5][910/2134]	Time 0.593 (0.635)	Data 0.002 (0.014)	Loss 5.8802 (5.9687)	Top-1 acc 1.562 (1.674)	Top-5 acc 5.859 (6.592)	lr 0.04850
Warmup Train [5][920/2134]	Time 0.448 (0.635)	Data 0.003 (0.014)	Loss 5.8908 (5.9687)	Top-1 acc 3.516 (1.675)	Top-5 acc 9.375 (6.590)	lr 0.04850
Warmup Train [5][930/2134]	Time 0.606 (0.634)	Data 0.002 (0.014)	Loss 5.9608 (5.9685)	Top-1 acc 1.562 (1.675)	Top-5 acc 7.031 (6.590)	lr 0.04850
Warmup Train [5][940/2134]	Time 0.592 (0.634)	Data 0.004 (0.013)	Loss 5.9053 (5.9685)	Top-1 acc 0.391 (1.673)	Top-5 acc 5.859 (6.590)	lr 0.04850
Warmup Train [5][950/2134]	Time 0.632 (0.634)	Data 0.002 (0.013)	Loss 5.9338 (5.9684)	Top-1 acc 1.953 (1.673)	Top-5 acc 5.859 (6.590)	lr 0.04849
Warmup Train [5][960/2134]	Time 0.605 (0.634)	Data 0.002 (0.013)	Loss 5.9854 (5.9683)	Top-1 acc 0.781 (1.672)	Top-5 acc 5.469 (6.585)	lr 0.04849
Warmup Train [5][970/2134]	Time 0.597 (0.634)	Data 0.003 (0.013)	Loss 5.8765 (5.9681)	Top-1 acc 1.953 (1.674)	Top-5 acc 6.641 (6.584)	lr 0.04849
Warmup Train [5][980/2134]	Time 0.562 (0.634)	Data 0.002 (0.013)	Loss 5.8970 (5.9677)	Top-1 acc 1.562 (1.676)	Top-5 acc 7.031 (6.592)	lr 0.04848
Warmup Train [5][990/2134]	Time 0.572 (0.634)	Data 0.002 (0.013)	Loss 6.0394 (5.9676)	Top-1 acc 1.172 (1.675)	Top-5 acc 6.641 (6.598)	lr 0.04848
Warmup Train [5][1000/2134]	Time 0.700 (0.633)	Data 0.002 (0.013)	Loss 5.9037 (5.9674)	Top-1 acc 1.172 (1.675)	Top-5 acc 5.078 (6.598)	lr 0.04848
Warmup Train [5][1010/2134]	Time 0.478 (0.634)	Data 0.002 (0.013)	Loss 5.9488 (5.9669)	Top-1 acc 0.781 (1.673)	Top-5 acc 8.594 (6.604)	lr 0.04847
Warmup Train [5][1020/2134]	Time 0.617 (0.633)	Data 0.002 (0.013)	Loss 5.9334 (5.9666)	Top-1 acc 1.562 (1.675)	Top-5 acc 5.859 (6.603)	lr 0.04847
Warmup Train [5][1030/2134]	Time 0.496 (0.633)	Data 0.002 (0.013)	Loss 5.9802 (5.9666)	Top-1 acc 1.562 (1.676)	Top-5 acc 4.688 (6.593)	lr 0.04847
Warmup Train [5][1040/2134]	Time 0.666 (0.633)	Data 0.002 (0.013)	Loss 5.8964 (5.9662)	Top-1 acc 2.344 (1.677)	Top-5 acc 7.031 (6.591)	lr 0.04846
Warmup Train [5][1050/2134]	Time 0.565 (0.633)	Data 0.002 (0.013)	Loss 5.9067 (5.9658)	Top-1 acc 2.344 (1.677)	Top-5 acc 9.375 (6.605)	lr 0.04846
Warmup Train [5][1060/2134]	Time 0.658 (0.633)	Data 0.002 (0.013)	Loss 6.0184 (5.9656)	Top-1 acc 0.000 (1.682)	Top-5 acc 5.078 (6.612)	lr 0.04846
Warmup Train [5][1070/2134]	Time 0.755 (0.633)	Data 0.002 (0.013)	Loss 5.9631 (5.9652)	Top-1 acc 2.344 (1.681)	Top-5 acc 6.641 (6.617)	lr 0.04845
Warmup Train [5][1080/2134]	Time 0.565 (0.633)	Data 0.002 (0.013)	Loss 5.9180 (5.9649)	Top-1 acc 1.562 (1.683)	Top-5 acc 6.641 (6.619)	lr 0.04845
Warmup Train [5][1090/2134]	Time 0.616 (0.633)	Data 0.002 (0.013)	Loss 6.0550 (5.9648)	Top-1 acc 2.734 (1.685)	Top-5 acc 5.859 (6.618)	lr 0.04845
Warmup Train [5][1100/2134]	Time 0.598 (0.632)	Data 0.002 (0.013)	Loss 5.9346 (5.9646)	Top-1 acc 2.734 (1.684)	Top-5 acc 8.594 (6.624)	lr 0.04844
Warmup Train [5][1110/2134]	Time 0.753 (0.633)	Data 0.002 (0.013)	Loss 5.9453 (5.9643)	Top-1 acc 1.953 (1.683)	Top-5 acc 7.031 (6.618)	lr 0.04844
Warmup Train [5][1120/2134]	Time 0.454 (0.632)	Data 0.003 (0.013)	Loss 5.9514 (5.9639)	Top-1 acc 1.953 (1.687)	Top-5 acc 8.203 (6.626)	lr 0.04844
Warmup Train [5][1130/2134]	Time 0.645 (0.632)	Data 0.002 (0.013)	Loss 5.8983 (5.9636)	Top-1 acc 1.172 (1.690)	Top-5 acc 8.203 (6.633)	lr 0.04843
Warmup Train [5][1140/2134]	Time 0.717 (0.632)	Data 0.002 (0.013)	Loss 5.8248 (5.9631)	Top-1 acc 1.953 (1.692)	Top-5 acc 7.422 (6.639)	lr 0.04843
Warmup Train [5][1150/2134]	Time 0.492 (0.632)	Data 0.003 (0.013)	Loss 5.9382 (5.9628)	Top-1 acc 1.172 (1.692)	Top-5 acc 5.078 (6.647)	lr 0.04843
Warmup Train [5][1160/2134]	Time 0.642 (0.632)	Data 0.002 (0.012)	Loss 5.8608 (5.9625)	Top-1 acc 1.172 (1.689)	Top-5 acc 8.203 (6.641)	lr 0.04843
Warmup Train [5][1170/2134]	Time 0.660 (0.632)	Data 0.002 (0.012)	Loss 5.9631 (5.9620)	Top-1 acc 0.781 (1.692)	Top-5 acc 7.422 (6.650)	lr 0.04842
Warmup Train [5][1180/2134]	Time 0.558 (0.631)	Data 0.002 (0.012)	Loss 5.7867 (5.9615)	Top-1 acc 3.516 (1.694)	Top-5 acc 8.594 (6.653)	lr 0.04842
Warmup Train [5][1190/2134]	Time 0.462 (0.631)	Data 0.002 (0.012)	Loss 5.8850 (5.9612)	Top-1 acc 2.344 (1.697)	Top-5 acc 7.422 (6.659)	lr 0.04842
Warmup Train [5][1200/2134]	Time 0.434 (0.631)	Data 0.002 (0.012)	Loss 5.9086 (5.9610)	Top-1 acc 1.953 (1.700)	Top-5 acc 6.641 (6.667)	lr 0.04841
Warmup Train [5][1210/2134]	Time 0.673 (0.631)	Data 0.003 (0.012)	Loss 5.9326 (5.9608)	Top-1 acc 1.562 (1.702)	Top-5 acc 4.688 (6.676)	lr 0.04841
Warmup Train [5][1220/2134]	Time 0.618 (0.631)	Data 0.003 (0.012)	Loss 5.8881 (5.9605)	Top-1 acc 2.734 (1.704)	Top-5 acc 7.422 (6.681)	lr 0.04841
Warmup Train [5][1230/2134]	Time 0.494 (0.631)	Data 0.002 (0.012)	Loss 6.0074 (5.9603)	Top-1 acc 2.344 (1.708)	Top-5 acc 4.297 (6.680)	lr 0.04840
Warmup Train [5][1240/2134]	Time 0.606 (0.631)	Data 0.002 (0.012)	Loss 5.9380 (5.9601)	Top-1 acc 1.562 (1.707)	Top-5 acc 6.641 (6.679)	lr 0.04840
Warmup Train [5][1250/2134]	Time 1.229 (0.631)	Data 0.002 (0.012)	Loss 5.9790 (5.9599)	Top-1 acc 1.562 (1.707)	Top-5 acc 7.031 (6.678)	lr 0.04840
Warmup Train [5][1260/2134]	Time 0.597 (0.631)	Data 0.002 (0.012)	Loss 5.9345 (5.9595)	Top-1 acc 1.172 (1.708)	Top-5 acc 5.859 (6.683)	lr 0.04839
Warmup Train [5][1270/2134]	Time 0.708 (0.631)	Data 0.002 (0.012)	Loss 5.9431 (5.9591)	Top-1 acc 1.172 (1.711)	Top-5 acc 8.203 (6.693)	lr 0.04839
Warmup Train [5][1280/2134]	Time 0.711 (0.631)	Data 0.002 (0.012)	Loss 5.9124 (5.9586)	Top-1 acc 3.516 (1.713)	Top-5 acc 8.203 (6.701)	lr 0.04839
Warmup Train [5][1290/2134]	Time 0.755 (0.631)	Data 0.002 (0.012)	Loss 5.8338 (5.9583)	Top-1 acc 2.734 (1.717)	Top-5 acc 8.203 (6.711)	lr 0.04838
Warmup Train [5][1300/2134]	Time 0.723 (0.631)	Data 0.002 (0.012)	Loss 5.8759 (5.9578)	Top-1 acc 1.562 (1.717)	Top-5 acc 5.859 (6.715)	lr 0.04838
Warmup Train [5][1310/2134]	Time 0.653 (0.631)	Data 0.002 (0.012)	Loss 5.9801 (5.9576)	Top-1 acc 0.391 (1.716)	Top-5 acc 5.859 (6.718)	lr 0.04838
Warmup Train [5][1320/2134]	Time 0.501 (0.631)	Data 0.002 (0.012)	Loss 5.9536 (5.9574)	Top-1 acc 2.734 (1.717)	Top-5 acc 6.641 (6.722)	lr 0.04837
Warmup Train [5][1330/2134]	Time 0.651 (0.631)	Data 0.002 (0.012)	Loss 5.8857 (5.9572)	Top-1 acc 1.953 (1.715)	Top-5 acc 7.031 (6.722)	lr 0.04837
Warmup Train [5][1340/2134]	Time 0.563 (0.630)	Data 0.002 (0.012)	Loss 5.9347 (5.9568)	Top-1 acc 0.391 (1.716)	Top-5 acc 7.422 (6.732)	lr 0.04837
Warmup Train [5][1350/2134]	Time 0.648 (0.631)	Data 0.002 (0.012)	Loss 5.8864 (5.9567)	Top-1 acc 1.953 (1.716)	Top-5 acc 9.375 (6.736)	lr 0.04836
Warmup Train [5][1360/2134]	Time 0.676 (0.631)	Data 0.002 (0.012)	Loss 5.9613 (5.9564)	Top-1 acc 1.172 (1.715)	Top-5 acc 5.469 (6.736)	lr 0.04836
Warmup Train [5][1370/2134]	Time 0.611 (0.631)	Data 0.002 (0.012)	Loss 5.8173 (5.9560)	Top-1 acc 2.344 (1.716)	Top-5 acc 8.594 (6.738)	lr 0.04836
Warmup Train [5][1380/2134]	Time 0.736 (0.630)	Data 0.002 (0.011)	Loss 5.8047 (5.9556)	Top-1 acc 1.172 (1.718)	Top-5 acc 6.250 (6.742)	lr 0.04835
Warmup Train [5][1390/2134]	Time 0.757 (0.630)	Data 0.002 (0.011)	Loss 5.8886 (5.9553)	Top-1 acc 4.297 (1.723)	Top-5 acc 9.375 (6.745)	lr 0.04835
Warmup Train [5][1400/2134]	Time 0.621 (0.631)	Data 0.002 (0.011)	Loss 5.8596 (5.9550)	Top-1 acc 1.172 (1.728)	Top-5 acc 12.891 (6.750)	lr 0.04835
Warmup Train [5][1410/2134]	Time 0.612 (0.630)	Data 0.002 (0.011)	Loss 5.8484 (5.9547)	Top-1 acc 1.562 (1.727)	Top-5 acc 6.250 (6.748)	lr 0.04834
Warmup Train [5][1420/2134]	Time 0.620 (0.630)	Data 0.002 (0.011)	Loss 5.8847 (5.9545)	Top-1 acc 1.172 (1.731)	Top-5 acc 8.984 (6.753)	lr 0.04834
Warmup Train [5][1430/2134]	Time 0.530 (0.630)	Data 0.002 (0.011)	Loss 5.9669 (5.9542)	Top-1 acc 0.781 (1.730)	Top-5 acc 7.422 (6.757)	lr 0.04834
Warmup Train [5][1440/2134]	Time 0.719 (0.630)	Data 0.003 (0.011)	Loss 5.9391 (5.9540)	Top-1 acc 2.344 (1.732)	Top-5 acc 8.594 (6.764)	lr 0.04833
Warmup Train [5][1450/2134]	Time 1.264 (0.630)	Data 0.002 (0.011)	Loss 5.9054 (5.9537)	Top-1 acc 1.172 (1.733)	Top-5 acc 5.469 (6.767)	lr 0.04833
Warmup Train [5][1460/2134]	Time 0.603 (0.630)	Data 0.002 (0.011)	Loss 5.9588 (5.9535)	Top-1 acc 1.953 (1.735)	Top-5 acc 6.250 (6.768)	lr 0.04833
Warmup Train [5][1470/2134]	Time 0.697 (0.630)	Data 0.002 (0.011)	Loss 5.9409 (5.9531)	Top-1 acc 0.391 (1.736)	Top-5 acc 5.078 (6.771)	lr 0.04832
Warmup Train [5][1480/2134]	Time 0.504 (0.630)	Data 0.002 (0.011)	Loss 5.8469 (5.9527)	Top-1 acc 1.953 (1.738)	Top-5 acc 7.031 (6.778)	lr 0.04832
Warmup Train [5][1490/2134]	Time 0.670 (0.630)	Data 0.002 (0.011)	Loss 5.8925 (5.9524)	Top-1 acc 3.516 (1.740)	Top-5 acc 8.984 (6.782)	lr 0.04832
Warmup Train [5][1500/2134]	Time 0.774 (0.630)	Data 0.002 (0.011)	Loss 5.9189 (5.9523)	Top-1 acc 1.953 (1.737)	Top-5 acc 8.203 (6.787)	lr 0.04831
Warmup Train [5][1510/2134]	Time 0.621 (0.630)	Data 0.003 (0.011)	Loss 5.9213 (5.9522)	Top-1 acc 2.344 (1.738)	Top-5 acc 8.203 (6.790)	lr 0.04831
Warmup Train [5][1520/2134]	Time 0.760 (0.630)	Data 0.002 (0.011)	Loss 6.0467 (5.9518)	Top-1 acc 2.734 (1.742)	Top-5 acc 7.031 (6.799)	lr 0.04831
Warmup Train [5][1530/2134]	Time 0.727 (0.630)	Data 0.002 (0.011)	Loss 5.8200 (5.9515)	Top-1 acc 3.125 (1.744)	Top-5 acc 8.984 (6.802)	lr 0.04830
Warmup Train [5][1540/2134]	Time 0.538 (0.630)	Data 0.002 (0.011)	Loss 5.9205 (5.9512)	Top-1 acc 2.734 (1.748)	Top-5 acc 7.031 (6.806)	lr 0.04830
Warmup Train [5][1550/2134]	Time 0.670 (0.630)	Data 0.002 (0.011)	Loss 5.9390 (5.9510)	Top-1 acc 1.172 (1.749)	Top-5 acc 5.859 (6.802)	lr 0.04830
Warmup Train [5][1560/2134]	Time 0.538 (0.630)	Data 0.002 (0.011)	Loss 5.8285 (5.9505)	Top-1 acc 1.953 (1.750)	Top-5 acc 8.984 (6.809)	lr 0.04829
Warmup Train [5][1570/2134]	Time 0.582 (0.630)	Data 0.005 (0.011)	Loss 5.9070 (5.9503)	Top-1 acc 1.172 (1.750)	Top-5 acc 6.641 (6.809)	lr 0.04829
Warmup Train [5][1580/2134]	Time 0.624 (0.630)	Data 0.002 (0.011)	Loss 5.8218 (5.9499)	Top-1 acc 4.688 (1.758)	Top-5 acc 9.766 (6.820)	lr 0.04829
Warmup Train [5][1590/2134]	Time 0.689 (0.630)	Data 0.002 (0.011)	Loss 5.8438 (5.9495)	Top-1 acc 0.781 (1.759)	Top-5 acc 9.375 (6.825)	lr 0.04828
Warmup Train [5][1600/2134]	Time 0.642 (0.630)	Data 0.002 (0.011)	Loss 5.9642 (5.9493)	Top-1 acc 1.953 (1.760)	Top-5 acc 6.641 (6.830)	lr 0.04828
Warmup Train [5][1610/2134]	Time 0.485 (0.630)	Data 0.002 (0.011)	Loss 5.9301 (5.9491)	Top-1 acc 1.172 (1.761)	Top-5 acc 5.469 (6.833)	lr 0.04828
Warmup Train [5][1620/2134]	Time 0.555 (0.630)	Data 0.002 (0.011)	Loss 5.8525 (5.9487)	Top-1 acc 1.562 (1.761)	Top-5 acc 7.422 (6.835)	lr 0.04827
Warmup Train [5][1630/2134]	Time 0.786 (0.630)	Data 0.004 (0.011)	Loss 5.8829 (5.9483)	Top-1 acc 1.172 (1.764)	Top-5 acc 5.469 (6.846)	lr 0.04827
Warmup Train [5][1640/2134]	Time 0.515 (0.630)	Data 0.002 (0.011)	Loss 5.8958 (5.9480)	Top-1 acc 0.781 (1.763)	Top-5 acc 6.641 (6.846)	lr 0.04827
Warmup Train [5][1650/2134]	Time 0.558 (0.630)	Data 0.002 (0.011)	Loss 5.9250 (5.9478)	Top-1 acc 1.953 (1.765)	Top-5 acc 7.812 (6.850)	lr 0.04826
Warmup Train [5][1660/2134]	Time 0.611 (0.630)	Data 0.002 (0.011)	Loss 5.9370 (5.9476)	Top-1 acc 0.781 (1.763)	Top-5 acc 7.812 (6.848)	lr 0.04826
Warmup Train [5][1670/2134]	Time 0.620 (0.630)	Data 0.002 (0.011)	Loss 5.8715 (5.9472)	Top-1 acc 3.125 (1.765)	Top-5 acc 7.422 (6.851)	lr 0.04826
Warmup Train [5][1680/2134]	Time 0.639 (0.630)	Data 0.002 (0.011)	Loss 5.8305 (5.9468)	Top-1 acc 2.344 (1.768)	Top-5 acc 10.938 (6.859)	lr 0.04825
Warmup Train [5][1690/2134]	Time 0.614 (0.630)	Data 0.002 (0.011)	Loss 5.8534 (5.9465)	Top-1 acc 3.125 (1.770)	Top-5 acc 10.156 (6.861)	lr 0.04825
Warmup Train [5][1700/2134]	Time 0.698 (0.629)	Data 0.002 (0.011)	Loss 5.8395 (5.9461)	Top-1 acc 0.781 (1.772)	Top-5 acc 7.812 (6.870)	lr 0.04825
Warmup Train [5][1710/2134]	Time 0.624 (0.630)	Data 0.002 (0.011)	Loss 5.8504 (5.9457)	Top-1 acc 3.125 (1.777)	Top-5 acc 8.203 (6.881)	lr 0.04824
Warmup Train [5][1720/2134]	Time 0.668 (0.630)	Data 0.004 (0.011)	Loss 5.8798 (5.9453)	Top-1 acc 2.734 (1.782)	Top-5 acc 7.812 (6.891)	lr 0.04824
Warmup Train [5][1730/2134]	Time 0.544 (0.629)	Data 0.002 (0.011)	Loss 5.8394 (5.9449)	Top-1 acc 1.953 (1.785)	Top-5 acc 6.641 (6.895)	lr 0.04824
Warmup Train [5][1740/2134]	Time 0.589 (0.629)	Data 0.003 (0.011)	Loss 5.8388 (5.9448)	Top-1 acc 2.344 (1.789)	Top-5 acc 7.422 (6.896)	lr 0.04823
Warmup Train [5][1750/2134]	Time 0.651 (0.629)	Data 0.002 (0.011)	Loss 5.8633 (5.9444)	Top-1 acc 1.562 (1.790)	Top-5 acc 8.594 (6.901)	lr 0.04823
Warmup Train [5][1760/2134]	Time 0.611 (0.629)	Data 0.004 (0.011)	Loss 5.9552 (5.9440)	Top-1 acc 2.734 (1.792)	Top-5 acc 8.203 (6.908)	lr 0.04823
Warmup Train [5][1770/2134]	Time 0.592 (0.629)	Data 0.002 (0.011)	Loss 5.9054 (5.9437)	Top-1 acc 0.781 (1.795)	Top-5 acc 5.469 (6.915)	lr 0.04822
Warmup Train [5][1780/2134]	Time 0.721 (0.629)	Data 0.002 (0.011)	Loss 5.8532 (5.9434)	Top-1 acc 1.562 (1.797)	Top-5 acc 9.375 (6.924)	lr 0.04822
Warmup Train [5][1790/2134]	Time 0.695 (0.629)	Data 0.002 (0.011)	Loss 5.9422 (5.9432)	Top-1 acc 1.562 (1.800)	Top-5 acc 5.859 (6.925)	lr 0.04822
Warmup Train [5][1800/2134]	Time 0.735 (0.629)	Data 0.002 (0.011)	Loss 5.9050 (5.9428)	Top-1 acc 2.344 (1.803)	Top-5 acc 10.156 (6.935)	lr 0.04821
Warmup Train [5][1810/2134]	Time 0.479 (0.629)	Data 0.004 (0.011)	Loss 5.8895 (5.9425)	Top-1 acc 2.344 (1.805)	Top-5 acc 5.859 (6.939)	lr 0.04821
Warmup Train [5][1820/2134]	Time 0.564 (0.629)	Data 0.002 (0.011)	Loss 5.8690 (5.9422)	Top-1 acc 1.953 (1.805)	Top-5 acc 7.031 (6.942)	lr 0.04821
Warmup Train [5][1830/2134]	Time 0.616 (0.629)	Data 0.003 (0.011)	Loss 5.9096 (5.9419)	Top-1 acc 2.734 (1.805)	Top-5 acc 10.156 (6.947)	lr 0.04820
Warmup Train [5][1840/2134]	Time 0.428 (0.629)	Data 0.002 (0.010)	Loss 5.8467 (5.9416)	Top-1 acc 2.734 (1.803)	Top-5 acc 9.375 (6.949)	lr 0.04820
Warmup Train [5][1850/2134]	Time 0.613 (0.629)	Data 0.002 (0.011)	Loss 5.9116 (5.9414)	Top-1 acc 2.344 (1.803)	Top-5 acc 7.812 (6.953)	lr 0.04820
Warmup Train [5][1860/2134]	Time 0.411 (0.629)	Data 0.002 (0.010)	Loss 5.8470 (5.9410)	Top-1 acc 2.734 (1.806)	Top-5 acc 11.719 (6.962)	lr 0.04819
Warmup Train [5][1870/2134]	Time 0.731 (0.629)	Data 0.002 (0.011)	Loss 5.8650 (5.9405)	Top-1 acc 2.734 (1.809)	Top-5 acc 6.641 (6.970)	lr 0.04819
Warmup Train [5][1880/2134]	Time 0.559 (0.629)	Data 0.002 (0.010)	Loss 5.9116 (5.9401)	Top-1 acc 2.344 (1.810)	Top-5 acc 6.250 (6.971)	lr 0.04819
Warmup Train [5][1890/2134]	Time 0.607 (0.629)	Data 0.002 (0.010)	Loss 5.8738 (5.9399)	Top-1 acc 1.562 (1.812)	Top-5 acc 7.812 (6.972)	lr 0.04818
Warmup Train [5][1900/2134]	Time 0.713 (0.628)	Data 0.002 (0.011)	Loss 5.9104 (5.9396)	Top-1 acc 3.125 (1.815)	Top-5 acc 8.594 (6.977)	lr 0.04818
Warmup Train [5][1910/2134]	Time 0.809 (0.628)	Data 0.002 (0.010)	Loss 5.8262 (5.9392)	Top-1 acc 2.344 (1.817)	Top-5 acc 8.203 (6.987)	lr 0.04818
Warmup Train [5][1920/2134]	Time 0.664 (0.628)	Data 0.002 (0.010)	Loss 5.9164 (5.9389)	Top-1 acc 0.391 (1.821)	Top-5 acc 6.250 (6.993)	lr 0.04817
Warmup Train [5][1930/2134]	Time 0.757 (0.628)	Data 0.002 (0.010)	Loss 5.8591 (5.9384)	Top-1 acc 1.562 (1.821)	Top-5 acc 7.812 (6.999)	lr 0.04817
Warmup Train [5][1940/2134]	Time 0.464 (0.628)	Data 0.002 (0.010)	Loss 5.8902 (5.9381)	Top-1 acc 4.688 (1.825)	Top-5 acc 10.547 (7.008)	lr 0.04817
Warmup Train [5][1950/2134]	Time 0.573 (0.628)	Data 0.002 (0.010)	Loss 5.8835 (5.9378)	Top-1 acc 1.562 (1.825)	Top-5 acc 8.203 (7.010)	lr 0.04816
Warmup Train [5][1960/2134]	Time 0.595 (0.628)	Data 0.002 (0.010)	Loss 5.8717 (5.9375)	Top-1 acc 2.344 (1.826)	Top-5 acc 9.375 (7.016)	lr 0.04816
Warmup Train [5][1970/2134]	Time 0.493 (0.628)	Data 0.002 (0.010)	Loss 5.8894 (5.9372)	Top-1 acc 1.953 (1.827)	Top-5 acc 7.031 (7.020)	lr 0.04815
Warmup Train [5][1980/2134]	Time 0.883 (0.628)	Data 0.002 (0.010)	Loss 5.8964 (5.9368)	Top-1 acc 2.344 (1.829)	Top-5 acc 7.422 (7.028)	lr 0.04815
Warmup Train [5][1990/2134]	Time 0.471 (0.628)	Data 0.002 (0.010)	Loss 5.8797 (5.9364)	Top-1 acc 0.391 (1.829)	Top-5 acc 7.031 (7.030)	lr 0.04815
Warmup Train [5][2000/2134]	Time 0.511 (0.628)	Data 0.002 (0.010)	Loss 5.8605 (5.9362)	Top-1 acc 1.953 (1.831)	Top-5 acc 7.031 (7.035)	lr 0.04814
Warmup Train [5][2010/2134]	Time 0.727 (0.628)	Data 0.002 (0.010)	Loss 5.9027 (5.9360)	Top-1 acc 2.344 (1.833)	Top-5 acc 7.812 (7.041)	lr 0.04814
Warmup Train [5][2020/2134]	Time 0.589 (0.629)	Data 0.002 (0.010)	Loss 5.9084 (5.9356)	Top-1 acc 2.344 (1.836)	Top-5 acc 7.422 (7.048)	lr 0.04814
Warmup Train [5][2030/2134]	Time 0.732 (0.629)	Data 0.002 (0.010)	Loss 5.9495 (5.9353)	Top-1 acc 1.172 (1.835)	Top-5 acc 8.984 (7.050)	lr 0.04813
Warmup Train [5][2040/2134]	Time 0.601 (0.628)	Data 0.002 (0.010)	Loss 5.8104 (5.9351)	Top-1 acc 3.125 (1.836)	Top-5 acc 8.984 (7.054)	lr 0.04813
Warmup Train [5][2050/2134]	Time 0.774 (0.628)	Data 0.002 (0.010)	Loss 5.7699 (5.9346)	Top-1 acc 2.734 (1.838)	Top-5 acc 8.984 (7.062)	lr 0.04813
Warmup Train [5][2060/2134]	Time 0.520 (0.628)	Data 0.002 (0.010)	Loss 5.9249 (5.9343)	Top-1 acc 2.344 (1.841)	Top-5 acc 7.422 (7.068)	lr 0.04812
Warmup Train [5][2070/2134]	Time 1.276 (0.628)	Data 0.002 (0.010)	Loss 5.8613 (5.9339)	Top-1 acc 1.953 (1.842)	Top-5 acc 7.031 (7.071)	lr 0.04812
Warmup Train [5][2080/2134]	Time 0.585 (0.628)	Data 0.000 (0.010)	Loss 5.8730 (5.9335)	Top-1 acc 0.781 (1.842)	Top-5 acc 6.641 (7.074)	lr 0.04812
Warmup Train [5][2090/2134]	Time 0.719 (0.628)	Data 0.000 (0.010)	Loss 5.8437 (5.9332)	Top-1 acc 1.172 (1.843)	Top-5 acc 6.641 (7.078)	lr 0.04811
Warmup Train [5][2100/2134]	Time 0.641 (0.628)	Data 0.000 (0.010)	Loss 5.9123 (5.9328)	Top-1 acc 1.953 (1.846)	Top-5 acc 6.250 (7.084)	lr 0.04811
Warmup Train [5][2110/2134]	Time 0.711 (0.627)	Data 0.000 (0.010)	Loss 5.9266 (5.9325)	Top-1 acc 0.781 (1.846)	Top-5 acc 5.469 (7.089)	lr 0.04811
Warmup Train [5][2120/2134]	Time 0.450 (0.627)	Data 0.000 (0.010)	Loss 5.8104 (5.9322)	Top-1 acc 1.172 (1.846)	Top-5 acc 6.641 (7.099)	lr 0.04810
Warmup Train [5][2130/2134]	Time 0.604 (0.627)	Data 0.000 (0.010)	Loss 5.8424 (5.9319)	Top-1 acc 2.344 (1.848)	Top-5 acc 7.031 (7.101)	lr 0.04810
Warmup Train [5][2134/2134]	Time 0.546 (0.627)	Data 0.000 (0.010)	Loss 5.8720 (5.9317)	Top-1 acc 3.209 (1.848)	Top-5 acc 6.952 (7.102)	lr 0.04810
==========Warmup Valid [5/40]	loss 5.529	top-1 acc 2.653	top-5 acc 9.387	Train top-1 1.848	top-5 7.102	flops: 442.4M
Warmup Train [6][0/2134]	Time 8.454 (8.454)	Data 7.043 (7.043)	Loss 5.9083 (5.9083)	Top-1 acc 2.344 (2.344)	Top-5 acc 8.594 (8.594)	lr 0.04810
Warmup Train [6][10/2134]	Time 0.751 (1.507)	Data 0.002 (0.655)	Loss 5.8114 (5.8557)	Top-1 acc 0.781 (1.776)	Top-5 acc 7.422 (8.239)	lr 0.04809
Warmup Train [6][20/2134]	Time 0.502 (1.114)	Data 0.002 (0.345)	Loss 5.8705 (5.8456)	Top-1 acc 1.562 (2.046)	Top-5 acc 8.594 (8.650)	lr 0.04809
Warmup Train [6][30/2134]	Time 0.688 (0.957)	Data 0.002 (0.237)	Loss 5.9624 (5.8436)	Top-1 acc 1.172 (2.067)	Top-5 acc 4.688 (8.480)	lr 0.04809
Warmup Train [6][40/2134]	Time 0.617 (0.868)	Data 0.003 (0.180)	Loss 5.8298 (5.8406)	Top-1 acc 1.562 (2.210)	Top-5 acc 7.812 (8.660)	lr 0.04808
Warmup Train [6][50/2134]	Time 0.710 (0.820)	Data 0.002 (0.147)	Loss 5.7737 (5.8405)	Top-1 acc 3.125 (2.267)	Top-5 acc 9.375 (8.778)	lr 0.04808
Warmup Train [6][60/2134]	Time 0.800 (0.788)	Data 0.002 (0.124)	Loss 5.9026 (5.8411)	Top-1 acc 2.734 (2.305)	Top-5 acc 6.641 (8.658)	lr 0.04808
Warmup Train [6][70/2134]	Time 1.340 (0.772)	Data 0.002 (0.107)	Loss 5.8853 (5.8436)	Top-1 acc 3.125 (2.360)	Top-5 acc 8.984 (8.621)	lr 0.04807
Warmup Train [6][80/2134]	Time 0.635 (0.750)	Data 0.002 (0.094)	Loss 5.7555 (5.8433)	Top-1 acc 2.344 (2.300)	Top-5 acc 10.938 (8.536)	lr 0.04807
Warmup Train [6][90/2134]	Time 0.649 (0.732)	Data 0.002 (0.085)	Loss 5.8152 (5.8425)	Top-1 acc 1.953 (2.262)	Top-5 acc 11.719 (8.637)	lr 0.04807
Warmup Train [6][100/2134]	Time 0.542 (0.721)	Data 0.002 (0.077)	Loss 5.8110 (5.8440)	Top-1 acc 3.906 (2.263)	Top-5 acc 11.719 (8.574)	lr 0.04806
Warmup Train [6][110/2134]	Time 0.533 (0.714)	Data 0.002 (0.072)	Loss 5.7661 (5.8438)	Top-1 acc 2.344 (2.266)	Top-5 acc 10.547 (8.625)	lr 0.04806
Warmup Train [6][120/2134]	Time 0.672 (0.707)	Data 0.002 (0.067)	Loss 5.8850 (5.8450)	Top-1 acc 2.344 (2.279)	Top-5 acc 9.375 (8.607)	lr 0.04805
Warmup Train [6][130/2134]	Time 0.542 (0.705)	Data 0.002 (0.062)	Loss 5.9016 (5.8470)	Top-1 acc 3.906 (2.299)	Top-5 acc 10.547 (8.609)	lr 0.04805
Warmup Train [6][140/2134]	Time 0.536 (0.699)	Data 0.002 (0.058)	Loss 5.7963 (5.8475)	Top-1 acc 2.344 (2.294)	Top-5 acc 8.203 (8.569)	lr 0.04805
Warmup Train [6][150/2134]	Time 0.661 (0.695)	Data 0.002 (0.055)	Loss 5.8135 (5.8483)	Top-1 acc 2.344 (2.279)	Top-5 acc 8.594 (8.550)	lr 0.04804
Warmup Train [6][160/2134]	Time 0.723 (0.693)	Data 0.002 (0.052)	Loss 5.8538 (5.8470)	Top-1 acc 1.953 (2.288)	Top-5 acc 6.641 (8.531)	lr 0.04804
Warmup Train [6][170/2134]	Time 0.751 (0.690)	Data 0.002 (0.049)	Loss 5.9408 (5.8471)	Top-1 acc 0.391 (2.296)	Top-5 acc 5.078 (8.569)	lr 0.04804
Warmup Train [6][180/2134]	Time 0.489 (0.689)	Data 0.002 (0.047)	Loss 5.8495 (5.8473)	Top-1 acc 2.734 (2.264)	Top-5 acc 9.766 (8.555)	lr 0.04803
Warmup Train [6][190/2134]	Time 0.751 (0.687)	Data 0.003 (0.045)	Loss 5.8065 (5.8464)	Top-1 acc 2.344 (2.272)	Top-5 acc 10.547 (8.608)	lr 0.04803
Warmup Train [6][200/2134]	Time 0.562 (0.683)	Data 0.002 (0.043)	Loss 5.8491 (5.8458)	Top-1 acc 0.781 (2.282)	Top-5 acc 7.422 (8.605)	lr 0.04803
Warmup Train [6][210/2134]	Time 0.435 (0.679)	Data 0.003 (0.041)	Loss 5.8076 (5.8452)	Top-1 acc 4.297 (2.290)	Top-5 acc 8.594 (8.607)	lr 0.04802
Warmup Train [6][220/2134]	Time 0.675 (0.677)	Data 0.002 (0.040)	Loss 5.8330 (5.8452)	Top-1 acc 1.562 (2.284)	Top-5 acc 8.594 (8.624)	lr 0.04802
Warmup Train [6][230/2134]	Time 0.990 (0.675)	Data 0.002 (0.038)	Loss 5.7886 (5.8443)	Top-1 acc 2.734 (2.269)	Top-5 acc 8.984 (8.611)	lr 0.04802
Warmup Train [6][240/2134]	Time 0.766 (0.673)	Data 0.002 (0.037)	Loss 5.7936 (5.8447)	Top-1 acc 2.344 (2.269)	Top-5 acc 11.719 (8.615)	lr 0.04801
Warmup Train [6][250/2134]	Time 0.455 (0.670)	Data 0.002 (0.035)	Loss 5.9076 (5.8440)	Top-1 acc 0.391 (2.263)	Top-5 acc 7.422 (8.631)	lr 0.04801
Warmup Train [6][260/2134]	Time 0.636 (0.668)	Data 0.003 (0.035)	Loss 5.8451 (5.8434)	Top-1 acc 2.344 (2.272)	Top-5 acc 10.547 (8.661)	lr 0.04800
Warmup Train [6][270/2134]	Time 0.595 (0.666)	Data 0.002 (0.034)	Loss 5.8774 (5.8431)	Top-1 acc 1.172 (2.273)	Top-5 acc 7.812 (8.670)	lr 0.04800
Warmup Train [6][280/2134]	Time 0.625 (0.664)	Data 0.002 (0.033)	Loss 5.8126 (5.8426)	Top-1 acc 0.781 (2.260)	Top-5 acc 4.688 (8.672)	lr 0.04800
Warmup Train [6][290/2134]	Time 0.584 (0.663)	Data 0.002 (0.032)	Loss 5.8454 (5.8425)	Top-1 acc 1.562 (2.269)	Top-5 acc 9.375 (8.690)	lr 0.04799
Warmup Train [6][300/2134]	Time 0.645 (0.662)	Data 0.002 (0.031)	Loss 5.9130 (5.8420)	Top-1 acc 1.953 (2.301)	Top-5 acc 5.469 (8.704)	lr 0.04799
Warmup Train [6][310/2134]	Time 0.529 (0.660)	Data 0.002 (0.030)	Loss 5.7370 (5.8411)	Top-1 acc 2.734 (2.325)	Top-5 acc 8.984 (8.724)	lr 0.04799
Warmup Train [6][320/2134]	Time 0.447 (0.659)	Data 0.002 (0.030)	Loss 5.7926 (5.8413)	Top-1 acc 1.953 (2.328)	Top-5 acc 9.375 (8.714)	lr 0.04798
Warmup Train [6][330/2134]	Time 0.649 (0.658)	Data 0.002 (0.029)	Loss 5.8551 (5.8415)	Top-1 acc 1.953 (2.320)	Top-5 acc 10.156 (8.701)	lr 0.04798
Warmup Train [6][340/2134]	Time 0.437 (0.656)	Data 0.002 (0.029)	Loss 5.8155 (5.8412)	Top-1 acc 1.562 (2.327)	Top-5 acc 8.984 (8.722)	lr 0.04798
Warmup Train [6][350/2134]	Time 0.894 (0.658)	Data 0.002 (0.028)	Loss 5.7602 (5.8413)	Top-1 acc 3.906 (2.347)	Top-5 acc 9.766 (8.735)	lr 0.04797
Warmup Train [6][360/2134]	Time 0.460 (0.656)	Data 0.002 (0.027)	Loss 5.8309 (5.8408)	Top-1 acc 1.562 (2.359)	Top-5 acc 9.766 (8.779)	lr 0.04797
Warmup Train [6][370/2134]	Time 0.493 (0.655)	Data 0.002 (0.027)	Loss 5.8087 (5.8402)	Top-1 acc 1.172 (2.343)	Top-5 acc 9.375 (8.767)	lr 0.04796
Warmup Train [6][380/2134]	Time 0.744 (0.654)	Data 0.002 (0.027)	Loss 5.7850 (5.8394)	Top-1 acc 3.516 (2.353)	Top-5 acc 9.375 (8.785)	lr 0.04796
Warmup Train [6][390/2134]	Time 0.759 (0.653)	Data 0.002 (0.026)	Loss 5.8421 (5.8397)	Top-1 acc 2.734 (2.347)	Top-5 acc 9.375 (8.776)	lr 0.04796
Warmup Train [6][400/2134]	Time 0.515 (0.653)	Data 0.002 (0.026)	Loss 5.8256 (5.8389)	Top-1 acc 3.906 (2.355)	Top-5 acc 11.328 (8.784)	lr 0.04795
Warmup Train [6][410/2134]	Time 0.644 (0.653)	Data 0.002 (0.025)	Loss 5.9002 (5.8389)	Top-1 acc 1.953 (2.356)	Top-5 acc 10.156 (8.766)	lr 0.04795
Warmup Train [6][420/2134]	Time 0.628 (0.653)	Data 0.002 (0.025)	Loss 5.8269 (5.8386)	Top-1 acc 0.781 (2.354)	Top-5 acc 9.766 (8.772)	lr 0.04795
Warmup Train [6][430/2134]	Time 0.687 (0.652)	Data 0.002 (0.024)	Loss 5.8803 (5.8388)	Top-1 acc 1.172 (2.348)	Top-5 acc 9.766 (8.775)	lr 0.04794
Warmup Train [6][440/2134]	Time 0.720 (0.651)	Data 0.002 (0.024)	Loss 5.8572 (5.8388)	Top-1 acc 1.953 (2.359)	Top-5 acc 7.031 (8.758)	lr 0.04794
Warmup Train [6][450/2134]	Time 1.188 (0.651)	Data 0.002 (0.023)	Loss 5.8582 (5.8384)	Top-1 acc 2.344 (2.355)	Top-5 acc 5.859 (8.759)	lr 0.04794
Warmup Train [6][460/2134]	Time 0.701 (0.650)	Data 0.002 (0.023)	Loss 5.8420 (5.8384)	Top-1 acc 1.953 (2.345)	Top-5 acc 7.422 (8.749)	lr 0.04793
Warmup Train [6][470/2134]	Time 0.505 (0.649)	Data 0.002 (0.022)	Loss 5.8673 (5.8384)	Top-1 acc 2.344 (2.352)	Top-5 acc 8.594 (8.757)	lr 0.04793
Warmup Train [6][480/2134]	Time 0.663 (0.648)	Data 0.002 (0.022)	Loss 5.7198 (5.8377)	Top-1 acc 4.297 (2.358)	Top-5 acc 13.672 (8.776)	lr 0.04792
Warmup Train [6][490/2134]	Time 0.634 (0.647)	Data 0.002 (0.022)	Loss 5.8033 (5.8368)	Top-1 acc 2.344 (2.364)	Top-5 acc 7.812 (8.794)	lr 0.04792
Warmup Train [6][500/2134]	Time 0.483 (0.647)	Data 0.002 (0.022)	Loss 5.7387 (5.8365)	Top-1 acc 2.344 (2.367)	Top-5 acc 8.203 (8.790)	lr 0.04792
Warmup Train [6][510/2134]	Time 0.437 (0.647)	Data 0.002 (0.021)	Loss 5.8234 (5.8370)	Top-1 acc 3.906 (2.370)	Top-5 acc 12.109 (8.793)	lr 0.04791
Warmup Train [6][520/2134]	Time 0.583 (0.646)	Data 0.002 (0.021)	Loss 5.7516 (5.8366)	Top-1 acc 3.516 (2.365)	Top-5 acc 10.938 (8.789)	lr 0.04791
Warmup Train [6][530/2134]	Time 0.596 (0.646)	Data 0.002 (0.021)	Loss 5.8080 (5.8364)	Top-1 acc 2.344 (2.369)	Top-5 acc 10.547 (8.786)	lr 0.04791
Warmup Train [6][540/2134]	Time 0.596 (0.646)	Data 0.003 (0.021)	Loss 5.7984 (5.8360)	Top-1 acc 3.516 (2.367)	Top-5 acc 10.938 (8.788)	lr 0.04790
Warmup Train [6][550/2134]	Time 0.732 (0.645)	Data 0.003 (0.021)	Loss 5.7899 (5.8353)	Top-1 acc 2.344 (2.371)	Top-5 acc 9.766 (8.787)	lr 0.04790
Warmup Train [6][560/2134]	Time 1.281 (0.646)	Data 0.002 (0.020)	Loss 5.8037 (5.8348)	Top-1 acc 3.125 (2.383)	Top-5 acc 9.766 (8.805)	lr 0.04790
Warmup Train [6][570/2134]	Time 0.480 (0.645)	Data 0.002 (0.020)	Loss 5.8133 (5.8347)	Top-1 acc 1.562 (2.384)	Top-5 acc 9.375 (8.820)	lr 0.04789
Warmup Train [6][580/2134]	Time 0.621 (0.645)	Data 0.002 (0.020)	Loss 5.8183 (5.8345)	Top-1 acc 3.516 (2.389)	Top-5 acc 7.812 (8.808)	lr 0.04789
Warmup Train [6][590/2134]	Time 0.717 (0.645)	Data 0.002 (0.020)	Loss 5.9020 (5.8345)	Top-1 acc 0.391 (2.389)	Top-5 acc 4.688 (8.815)	lr 0.04788
Warmup Train [6][600/2134]	Time 0.479 (0.644)	Data 0.002 (0.020)	Loss 5.7514 (5.8341)	Top-1 acc 2.344 (2.391)	Top-5 acc 12.109 (8.815)	lr 0.04788
Warmup Train [6][610/2134]	Time 0.690 (0.643)	Data 0.002 (0.019)	Loss 5.8837 (5.8344)	Top-1 acc 2.344 (2.394)	Top-5 acc 5.859 (8.803)	lr 0.04788
Warmup Train [6][620/2134]	Time 0.636 (0.644)	Data 0.002 (0.019)	Loss 5.7659 (5.8336)	Top-1 acc 2.344 (2.393)	Top-5 acc 12.109 (8.817)	lr 0.04787
Warmup Train [6][630/2134]	Time 0.656 (0.643)	Data 0.002 (0.019)	Loss 5.7586 (5.8330)	Top-1 acc 5.078 (2.398)	Top-5 acc 10.156 (8.818)	lr 0.04787
Warmup Train [6][640/2134]	Time 0.543 (0.642)	Data 0.002 (0.019)	Loss 5.7782 (5.8323)	Top-1 acc 1.953 (2.396)	Top-5 acc 12.109 (8.835)	lr 0.04787
Warmup Train [6][650/2134]	Time 0.633 (0.642)	Data 0.002 (0.018)	Loss 5.8064 (5.8321)	Top-1 acc 1.953 (2.403)	Top-5 acc 10.547 (8.850)	lr 0.04786
Warmup Train [6][660/2134]	Time 0.473 (0.641)	Data 0.002 (0.018)	Loss 5.7195 (5.8319)	Top-1 acc 4.688 (2.406)	Top-5 acc 11.719 (8.840)	lr 0.04786
Warmup Train [6][670/2134]	Time 0.692 (0.641)	Data 0.002 (0.018)	Loss 5.8323 (5.8316)	Top-1 acc 3.125 (2.399)	Top-5 acc 8.594 (8.842)	lr 0.04785
Warmup Train [6][680/2134]	Time 0.674 (0.641)	Data 0.002 (0.018)	Loss 5.7670 (5.8312)	Top-1 acc 1.172 (2.399)	Top-5 acc 8.594 (8.855)	lr 0.04785
Warmup Train [6][690/2134]	Time 0.646 (0.641)	Data 0.004 (0.018)	Loss 5.8180 (5.8310)	Top-1 acc 3.906 (2.395)	Top-5 acc 10.938 (8.845)	lr 0.04785
Warmup Train [6][700/2134]	Time 0.765 (0.640)	Data 0.002 (0.018)	Loss 5.8066 (5.8305)	Top-1 acc 2.734 (2.393)	Top-5 acc 8.203 (8.848)	lr 0.04784
Warmup Train [6][710/2134]	Time 0.609 (0.640)	Data 0.002 (0.017)	Loss 5.8473 (5.8302)	Top-1 acc 3.516 (2.390)	Top-5 acc 10.547 (8.849)	lr 0.04784
Warmup Train [6][720/2134]	Time 0.601 (0.640)	Data 0.002 (0.017)	Loss 5.8512 (5.8297)	Top-1 acc 2.734 (2.398)	Top-5 acc 10.156 (8.858)	lr 0.04784
Warmup Train [6][730/2134]	Time 1.292 (0.640)	Data 0.002 (0.017)	Loss 5.7547 (5.8292)	Top-1 acc 1.953 (2.407)	Top-5 acc 9.375 (8.865)	lr 0.04783
Warmup Train [6][740/2134]	Time 0.593 (0.640)	Data 0.002 (0.017)	Loss 5.9062 (5.8286)	Top-1 acc 1.562 (2.402)	Top-5 acc 5.469 (8.873)	lr 0.04783
Warmup Train [6][750/2134]	Time 0.494 (0.639)	Data 0.002 (0.017)	Loss 5.7138 (5.8281)	Top-1 acc 2.734 (2.408)	Top-5 acc 12.891 (8.889)	lr 0.04782
Warmup Train [6][760/2134]	Time 0.633 (0.639)	Data 0.002 (0.017)	Loss 5.7489 (5.8277)	Top-1 acc 3.516 (2.417)	Top-5 acc 10.547 (8.900)	lr 0.04782
Warmup Train [6][770/2134]	Time 0.632 (0.639)	Data 0.002 (0.017)	Loss 5.8311 (5.8271)	Top-1 acc 4.297 (2.427)	Top-5 acc 10.156 (8.908)	lr 0.04782
Warmup Train [6][780/2134]	Time 0.732 (0.639)	Data 0.002 (0.016)	Loss 5.7739 (5.8267)	Top-1 acc 3.906 (2.429)	Top-5 acc 9.766 (8.915)	lr 0.04781
Warmup Train [6][790/2134]	Time 0.614 (0.639)	Data 0.003 (0.016)	Loss 5.7333 (5.8266)	Top-1 acc 5.469 (2.430)	Top-5 acc 10.156 (8.920)	lr 0.04781
Warmup Train [6][800/2134]	Time 0.442 (0.639)	Data 0.002 (0.016)	Loss 5.7353 (5.8259)	Top-1 acc 2.734 (2.439)	Top-5 acc 9.766 (8.944)	lr 0.04781
Warmup Train [6][810/2134]	Time 0.458 (0.638)	Data 0.003 (0.016)	Loss 5.7112 (5.8251)	Top-1 acc 3.516 (2.446)	Top-5 acc 9.766 (8.961)	lr 0.04780
Warmup Train [6][820/2134]	Time 0.631 (0.638)	Data 0.002 (0.016)	Loss 5.8323 (5.8250)	Top-1 acc 2.734 (2.447)	Top-5 acc 8.984 (8.961)	lr 0.04780
Warmup Train [6][830/2134]	Time 0.600 (0.638)	Data 0.002 (0.016)	Loss 5.8832 (5.8248)	Top-1 acc 1.562 (2.440)	Top-5 acc 6.250 (8.944)	lr 0.04779
Warmup Train [6][840/2134]	Time 0.404 (0.637)	Data 0.002 (0.016)	Loss 5.7075 (5.8243)	Top-1 acc 4.297 (2.446)	Top-5 acc 10.938 (8.966)	lr 0.04779
Warmup Train [6][850/2134]	Time 0.571 (0.638)	Data 0.003 (0.016)	Loss 5.7447 (5.8238)	Top-1 acc 2.734 (2.446)	Top-5 acc 14.062 (8.983)	lr 0.04779
Warmup Train [6][860/2134]	Time 0.555 (0.637)	Data 0.002 (0.016)	Loss 5.8618 (5.8234)	Top-1 acc 2.344 (2.446)	Top-5 acc 8.594 (8.993)	lr 0.04778
Warmup Train [6][870/2134]	Time 0.616 (0.637)	Data 0.002 (0.016)	Loss 5.8177 (5.8229)	Top-1 acc 3.125 (2.444)	Top-5 acc 9.766 (8.996)	lr 0.04778
Warmup Train [6][880/2134]	Time 0.478 (0.636)	Data 0.002 (0.015)	Loss 5.7552 (5.8224)	Top-1 acc 4.688 (2.451)	Top-5 acc 11.328 (9.006)	lr 0.04778
Warmup Train [6][890/2134]	Time 0.631 (0.636)	Data 0.003 (0.015)	Loss 5.7434 (5.8220)	Top-1 acc 0.781 (2.447)	Top-5 acc 6.641 (9.008)	lr 0.04777
Warmup Train [6][900/2134]	Time 0.684 (0.637)	Data 0.002 (0.015)	Loss 5.7916 (5.8219)	Top-1 acc 1.172 (2.453)	Top-5 acc 10.547 (9.025)	lr 0.04777
Warmup Train [6][910/2134]	Time 0.612 (0.637)	Data 0.002 (0.015)	Loss 5.8191 (5.8214)	Top-1 acc 2.734 (2.450)	Top-5 acc 10.156 (9.030)	lr 0.04776
Warmup Train [6][920/2134]	Time 0.631 (0.636)	Data 0.002 (0.015)	Loss 5.7605 (5.8209)	Top-1 acc 5.469 (2.454)	Top-5 acc 12.500 (9.037)	lr 0.04776
Warmup Train [6][930/2134]	Time 0.730 (0.636)	Data 0.002 (0.015)	Loss 5.8482 (5.8207)	Top-1 acc 1.953 (2.458)	Top-5 acc 7.031 (9.044)	lr 0.04776
Warmup Train [6][940/2134]	Time 0.598 (0.636)	Data 0.002 (0.015)	Loss 5.7835 (5.8203)	Top-1 acc 3.906 (2.467)	Top-5 acc 8.203 (9.044)	lr 0.04775
Warmup Train [6][950/2134]	Time 0.628 (0.636)	Data 0.004 (0.015)	Loss 5.7768 (5.8198)	Top-1 acc 3.516 (2.467)	Top-5 acc 9.766 (9.058)	lr 0.04775
Warmup Train [6][960/2134]	Time 0.587 (0.636)	Data 0.002 (0.015)	Loss 5.7083 (5.8194)	Top-1 acc 3.516 (2.465)	Top-5 acc 10.547 (9.059)	lr 0.04774
Warmup Train [6][970/2134]	Time 0.819 (0.636)	Data 0.002 (0.015)	Loss 5.8221 (5.8192)	Top-1 acc 1.172 (2.465)	Top-5 acc 7.812 (9.057)	lr 0.04774
Warmup Train [6][980/2134]	Time 0.617 (0.636)	Data 0.003 (0.015)	Loss 5.8079 (5.8187)	Top-1 acc 2.344 (2.470)	Top-5 acc 7.422 (9.072)	lr 0.04774
Warmup Train [6][990/2134]	Time 0.695 (0.636)	Data 0.002 (0.014)	Loss 5.7775 (5.8183)	Top-1 acc 3.516 (2.478)	Top-5 acc 12.500 (9.086)	lr 0.04773
Warmup Train [6][1000/2134]	Time 0.725 (0.635)	Data 0.003 (0.014)	Loss 5.7855 (5.8176)	Top-1 acc 3.516 (2.483)	Top-5 acc 12.891 (9.100)	lr 0.04773
Warmup Train [6][1010/2134]	Time 0.523 (0.635)	Data 0.002 (0.014)	Loss 5.7032 (5.8171)	Top-1 acc 3.125 (2.489)	Top-5 acc 13.281 (9.105)	lr 0.04773
Warmup Train [6][1020/2134]	Time 0.544 (0.636)	Data 0.002 (0.014)	Loss 5.7351 (5.8166)	Top-1 acc 2.344 (2.495)	Top-5 acc 9.766 (9.117)	lr 0.04772
Warmup Train [6][1030/2134]	Time 0.625 (0.636)	Data 0.002 (0.014)	Loss 5.8466 (5.8162)	Top-1 acc 1.172 (2.499)	Top-5 acc 9.766 (9.134)	lr 0.04772
Warmup Train [6][1040/2134]	Time 0.377 (0.635)	Data 0.002 (0.014)	Loss 5.7526 (5.8160)	Top-1 acc 1.172 (2.497)	Top-5 acc 7.812 (9.133)	lr 0.04771
Warmup Train [6][1050/2134]	Time 0.650 (0.635)	Data 0.002 (0.014)	Loss 5.7757 (5.8157)	Top-1 acc 2.344 (2.495)	Top-5 acc 10.938 (9.135)	lr 0.04771
Warmup Train [6][1060/2134]	Time 0.607 (0.635)	Data 0.002 (0.014)	Loss 5.8337 (5.8153)	Top-1 acc 1.953 (2.497)	Top-5 acc 7.031 (9.143)	lr 0.04771
Warmup Train [6][1070/2134]	Time 0.620 (0.635)	Data 0.002 (0.014)	Loss 5.7555 (5.8146)	Top-1 acc 3.906 (2.501)	Top-5 acc 8.984 (9.163)	lr 0.04770
Warmup Train [6][1080/2134]	Time 0.559 (0.635)	Data 0.002 (0.014)	Loss 5.8187 (5.8144)	Top-1 acc 1.172 (2.506)	Top-5 acc 7.422 (9.173)	lr 0.04770
Warmup Train [6][1090/2134]	Time 0.583 (0.635)	Data 0.003 (0.014)	Loss 5.8674 (5.8139)	Top-1 acc 3.516 (2.509)	Top-5 acc 8.984 (9.185)	lr 0.04769
Warmup Train [6][1100/2134]	Time 0.653 (0.635)	Data 0.002 (0.014)	Loss 5.8029 (5.8135)	Top-1 acc 3.906 (2.509)	Top-5 acc 9.375 (9.189)	lr 0.04769
Warmup Train [6][1110/2134]	Time 0.698 (0.634)	Data 0.002 (0.014)	Loss 5.7709 (5.8131)	Top-1 acc 3.516 (2.515)	Top-5 acc 10.156 (9.205)	lr 0.04769
Warmup Train [6][1120/2134]	Time 0.760 (0.634)	Data 0.002 (0.014)	Loss 5.7527 (5.8126)	Top-1 acc 3.516 (2.517)	Top-5 acc 12.109 (9.212)	lr 0.04768
Warmup Train [6][1130/2134]	Time 0.743 (0.634)	Data 0.002 (0.014)	Loss 5.8240 (5.8120)	Top-1 acc 2.344 (2.520)	Top-5 acc 6.250 (9.222)	lr 0.04768
Warmup Train [6][1140/2134]	Time 0.538 (0.634)	Data 0.002 (0.013)	Loss 5.7694 (5.8116)	Top-1 acc 3.125 (2.521)	Top-5 acc 10.156 (9.231)	lr 0.04768
Warmup Train [6][1150/2134]	Time 0.584 (0.634)	Data 0.002 (0.013)	Loss 5.7709 (5.8113)	Top-1 acc 1.562 (2.521)	Top-5 acc 10.547 (9.238)	lr 0.04767
Warmup Train [6][1160/2134]	Time 0.652 (0.634)	Data 0.003 (0.013)	Loss 5.8001 (5.8110)	Top-1 acc 3.906 (2.522)	Top-5 acc 8.203 (9.237)	lr 0.04767
Warmup Train [6][1170/2134]	Time 0.538 (0.634)	Data 0.002 (0.013)	Loss 5.7909 (5.8109)	Top-1 acc 3.906 (2.525)	Top-5 acc 10.938 (9.244)	lr 0.04766
Warmup Train [6][1180/2134]	Time 0.609 (0.634)	Data 0.002 (0.013)	Loss 5.7309 (5.8106)	Top-1 acc 1.562 (2.529)	Top-5 acc 8.203 (9.250)	lr 0.04766
Warmup Train [6][1190/2134]	Time 1.212 (0.634)	Data 0.002 (0.013)	Loss 5.8320 (5.8102)	Top-1 acc 2.734 (2.527)	Top-5 acc 10.547 (9.259)	lr 0.04766
Warmup Train [6][1200/2134]	Time 0.530 (0.634)	Data 0.002 (0.013)	Loss 5.6497 (5.8098)	Top-1 acc 3.906 (2.529)	Top-5 acc 16.016 (9.264)	lr 0.04765
Warmup Train [6][1210/2134]	Time 0.536 (0.634)	Data 0.002 (0.013)	Loss 5.6204 (5.8095)	Top-1 acc 2.734 (2.531)	Top-5 acc 12.500 (9.266)	lr 0.04765
Warmup Train [6][1220/2134]	Time 0.631 (0.634)	Data 0.003 (0.013)	Loss 5.7511 (5.8092)	Top-1 acc 2.734 (2.532)	Top-5 acc 11.719 (9.271)	lr 0.04764
Warmup Train [6][1230/2134]	Time 0.636 (0.634)	Data 0.002 (0.013)	Loss 5.7771 (5.8089)	Top-1 acc 3.125 (2.533)	Top-5 acc 7.812 (9.271)	lr 0.04764
Warmup Train [6][1240/2134]	Time 0.604 (0.633)	Data 0.003 (0.013)	Loss 5.7698 (5.8085)	Top-1 acc 1.172 (2.535)	Top-5 acc 7.031 (9.286)	lr 0.04764
Warmup Train [6][1250/2134]	Time 0.679 (0.634)	Data 0.002 (0.013)	Loss 5.7752 (5.8081)	Top-1 acc 1.953 (2.540)	Top-5 acc 9.375 (9.299)	lr 0.04763
Warmup Train [6][1260/2134]	Time 0.444 (0.634)	Data 0.002 (0.013)	Loss 5.7922 (5.8078)	Top-1 acc 2.734 (2.541)	Top-5 acc 10.547 (9.306)	lr 0.04763
Warmup Train [6][1270/2134]	Time 0.390 (0.633)	Data 0.002 (0.013)	Loss 5.7067 (5.8076)	Top-1 acc 3.516 (2.541)	Top-5 acc 13.672 (9.313)	lr 0.04762
Warmup Train [6][1280/2134]	Time 0.521 (0.632)	Data 0.002 (0.013)	Loss 5.8449 (5.8074)	Top-1 acc 3.906 (2.547)	Top-5 acc 9.766 (9.317)	lr 0.04762
Warmup Train [6][1290/2134]	Time 0.683 (0.632)	Data 0.003 (0.013)	Loss 5.6975 (5.8070)	Top-1 acc 4.297 (2.551)	Top-5 acc 14.844 (9.325)	lr 0.04762
Warmup Train [6][1300/2134]	Time 0.660 (0.632)	Data 0.003 (0.013)	Loss 5.8047 (5.8064)	Top-1 acc 2.344 (2.553)	Top-5 acc 8.594 (9.334)	lr 0.04761
Warmup Train [6][1310/2134]	Time 0.605 (0.632)	Data 0.004 (0.013)	Loss 5.7447 (5.8061)	Top-1 acc 3.125 (2.551)	Top-5 acc 9.375 (9.335)	lr 0.04761
Warmup Train [6][1320/2134]	Time 0.652 (0.632)	Data 0.002 (0.013)	Loss 5.7750 (5.8059)	Top-1 acc 2.344 (2.555)	Top-5 acc 10.547 (9.334)	lr 0.04761
Warmup Train [6][1330/2134]	Time 0.589 (0.632)	Data 0.002 (0.013)	Loss 5.7488 (5.8055)	Top-1 acc 1.953 (2.556)	Top-5 acc 7.812 (9.341)	lr 0.04760
Warmup Train [6][1340/2134]	Time 0.622 (0.632)	Data 0.002 (0.013)	Loss 5.7424 (5.8050)	Top-1 acc 3.906 (2.560)	Top-5 acc 9.375 (9.348)	lr 0.04760
Warmup Train [6][1350/2134]	Time 0.460 (0.632)	Data 0.002 (0.013)	Loss 5.8057 (5.8045)	Top-1 acc 2.344 (2.562)	Top-5 acc 8.594 (9.362)	lr 0.04759
Warmup Train [6][1360/2134]	Time 0.577 (0.632)	Data 0.002 (0.013)	Loss 5.6846 (5.8040)	Top-1 acc 3.516 (2.569)	Top-5 acc 10.938 (9.373)	lr 0.04759
Warmup Train [6][1370/2134]	Time 0.729 (0.632)	Data 0.002 (0.013)	Loss 5.7299 (5.8035)	Top-1 acc 3.906 (2.572)	Top-5 acc 11.328 (9.381)	lr 0.04759
Warmup Train [6][1380/2134]	Time 0.577 (0.632)	Data 0.002 (0.013)	Loss 5.7460 (5.8031)	Top-1 acc 2.734 (2.576)	Top-5 acc 10.547 (9.391)	lr 0.04758
Warmup Train [6][1390/2134]	Time 0.579 (0.632)	Data 0.002 (0.012)	Loss 5.7272 (5.8027)	Top-1 acc 3.125 (2.580)	Top-5 acc 11.328 (9.397)	lr 0.04758
Warmup Train [6][1400/2134]	Time 0.598 (0.632)	Data 0.002 (0.012)	Loss 5.7026 (5.8021)	Top-1 acc 3.906 (2.584)	Top-5 acc 10.938 (9.408)	lr 0.04757
Warmup Train [6][1410/2134]	Time 0.444 (0.632)	Data 0.003 (0.012)	Loss 5.7541 (5.8018)	Top-1 acc 1.562 (2.583)	Top-5 acc 9.375 (9.410)	lr 0.04757
Warmup Train [6][1420/2134]	Time 0.676 (0.632)	Data 0.002 (0.012)	Loss 5.7672 (5.8014)	Top-1 acc 2.734 (2.584)	Top-5 acc 9.375 (9.413)	lr 0.04757
Warmup Train [6][1430/2134]	Time 0.684 (0.632)	Data 0.002 (0.012)	Loss 5.7963 (5.8012)	Top-1 acc 2.734 (2.580)	Top-5 acc 8.203 (9.418)	lr 0.04756
Warmup Train [6][1440/2134]	Time 0.510 (0.632)	Data 0.003 (0.012)	Loss 5.7316 (5.8010)	Top-1 acc 3.125 (2.583)	Top-5 acc 11.719 (9.423)	lr 0.04756
Warmup Train [6][1450/2134]	Time 0.456 (0.632)	Data 0.002 (0.012)	Loss 5.6792 (5.8007)	Top-1 acc 3.125 (2.587)	Top-5 acc 13.281 (9.433)	lr 0.04755
Warmup Train [6][1460/2134]	Time 0.666 (0.632)	Data 0.002 (0.012)	Loss 5.7257 (5.8004)	Top-1 acc 2.344 (2.585)	Top-5 acc 12.500 (9.439)	lr 0.04755
Warmup Train [6][1470/2134]	Time 0.693 (0.632)	Data 0.002 (0.012)	Loss 5.6943 (5.7998)	Top-1 acc 4.688 (2.589)	Top-5 acc 12.109 (9.449)	lr 0.04755
Warmup Train [6][1480/2134]	Time 0.693 (0.632)	Data 0.002 (0.012)	Loss 5.8840 (5.7994)	Top-1 acc 2.734 (2.593)	Top-5 acc 8.984 (9.458)	lr 0.04754
Warmup Train [6][1490/2134]	Time 0.317 (0.632)	Data 0.002 (0.012)	Loss 5.7674 (5.7990)	Top-1 acc 3.125 (2.596)	Top-5 acc 8.203 (9.461)	lr 0.04754
Warmup Train [6][1500/2134]	Time 0.739 (0.632)	Data 0.002 (0.012)	Loss 5.7903 (5.7986)	Top-1 acc 3.125 (2.597)	Top-5 acc 9.766 (9.471)	lr 0.04753
Warmup Train [6][1510/2134]	Time 0.699 (0.631)	Data 0.002 (0.012)	Loss 5.7593 (5.7982)	Top-1 acc 1.562 (2.599)	Top-5 acc 9.766 (9.479)	lr 0.04753
Warmup Train [6][1520/2134]	Time 0.493 (0.631)	Data 0.002 (0.012)	Loss 5.8369 (5.7978)	Top-1 acc 1.562 (2.597)	Top-5 acc 10.156 (9.486)	lr 0.04753
Warmup Train [6][1530/2134]	Time 0.549 (0.631)	Data 0.002 (0.012)	Loss 5.7099 (5.7975)	Top-1 acc 2.734 (2.598)	Top-5 acc 11.719 (9.487)	lr 0.04752
Warmup Train [6][1540/2134]	Time 0.677 (0.631)	Data 0.002 (0.012)	Loss 5.6780 (5.7970)	Top-1 acc 2.344 (2.602)	Top-5 acc 12.500 (9.495)	lr 0.04752
Warmup Train [6][1550/2134]	Time 0.551 (0.631)	Data 0.002 (0.012)	Loss 5.6863 (5.7968)	Top-1 acc 3.125 (2.604)	Top-5 acc 14.062 (9.504)	lr 0.04751
Warmup Train [6][1560/2134]	Time 0.599 (0.631)	Data 0.002 (0.012)	Loss 5.6738 (5.7964)	Top-1 acc 3.125 (2.609)	Top-5 acc 11.328 (9.514)	lr 0.04751
Warmup Train [6][1570/2134]	Time 0.754 (0.631)	Data 0.002 (0.012)	Loss 5.7222 (5.7960)	Top-1 acc 1.562 (2.609)	Top-5 acc 8.203 (9.519)	lr 0.04751
Warmup Train [6][1580/2134]	Time 0.546 (0.631)	Data 0.002 (0.012)	Loss 5.7566 (5.7954)	Top-1 acc 3.906 (2.612)	Top-5 acc 10.938 (9.525)	lr 0.04750
Warmup Train [6][1590/2134]	Time 0.710 (0.631)	Data 0.002 (0.012)	Loss 5.6431 (5.7950)	Top-1 acc 3.516 (2.613)	Top-5 acc 10.156 (9.535)	lr 0.04750
Warmup Train [6][1600/2134]	Time 0.529 (0.631)	Data 0.003 (0.012)	Loss 5.7446 (5.7946)	Top-1 acc 3.125 (2.617)	Top-5 acc 11.328 (9.543)	lr 0.04749
Warmup Train [6][1610/2134]	Time 0.620 (0.631)	Data 0.002 (0.012)	Loss 5.7417 (5.7941)	Top-1 acc 3.906 (2.620)	Top-5 acc 9.375 (9.546)	lr 0.04749
Warmup Train [6][1620/2134]	Time 0.637 (0.631)	Data 0.002 (0.012)	Loss 5.8000 (5.7937)	Top-1 acc 1.953 (2.620)	Top-5 acc 7.031 (9.548)	lr 0.04749
Warmup Train [6][1630/2134]	Time 0.424 (0.631)	Data 0.002 (0.012)	Loss 5.7513 (5.7934)	Top-1 acc 3.906 (2.626)	Top-5 acc 9.375 (9.561)	lr 0.04748
Warmup Train [6][1640/2134]	Time 0.531 (0.631)	Data 0.002 (0.012)	Loss 5.7218 (5.7931)	Top-1 acc 2.734 (2.629)	Top-5 acc 12.500 (9.574)	lr 0.04748
Warmup Train [6][1650/2134]	Time 0.702 (0.631)	Data 0.002 (0.012)	Loss 5.7428 (5.7930)	Top-1 acc 5.859 (2.631)	Top-5 acc 12.891 (9.584)	lr 0.04747
Warmup Train [6][1660/2134]	Time 0.741 (0.631)	Data 0.003 (0.012)	Loss 5.7067 (5.7925)	Top-1 acc 0.781 (2.637)	Top-5 acc 13.672 (9.598)	lr 0.04747
Warmup Train [6][1670/2134]	Time 0.577 (0.631)	Data 0.002 (0.012)	Loss 5.7232 (5.7922)	Top-1 acc 3.906 (2.638)	Top-5 acc 10.938 (9.601)	lr 0.04747
Warmup Train [6][1680/2134]	Time 0.432 (0.631)	Data 0.002 (0.012)	Loss 5.6738 (5.7918)	Top-1 acc 3.516 (2.642)	Top-5 acc 14.062 (9.609)	lr 0.04746
Warmup Train [6][1690/2134]	Time 0.740 (0.631)	Data 0.002 (0.012)	Loss 5.7482 (5.7916)	Top-1 acc 3.125 (2.645)	Top-5 acc 10.938 (9.615)	lr 0.04746
Warmup Train [6][1700/2134]	Time 0.619 (0.631)	Data 0.003 (0.012)	Loss 5.6755 (5.7912)	Top-1 acc 3.516 (2.648)	Top-5 acc 13.281 (9.630)	lr 0.04745
Warmup Train [6][1710/2134]	Time 0.681 (0.631)	Data 0.002 (0.012)	Loss 5.6562 (5.7908)	Top-1 acc 5.078 (2.655)	Top-5 acc 13.281 (9.638)	lr 0.04745
Warmup Train [6][1720/2134]	Time 0.458 (0.631)	Data 0.003 (0.012)	Loss 5.7835 (5.7904)	Top-1 acc 4.688 (2.658)	Top-5 acc 11.719 (9.646)	lr 0.04745
Warmup Train [6][1730/2134]	Time 0.626 (0.631)	Data 0.002 (0.012)	Loss 5.7210 (5.7900)	Top-1 acc 1.953 (2.661)	Top-5 acc 8.984 (9.655)	lr 0.04744
Warmup Train [6][1740/2134]	Time 0.512 (0.631)	Data 0.002 (0.012)	Loss 5.7318 (5.7896)	Top-1 acc 3.125 (2.665)	Top-5 acc 11.719 (9.660)	lr 0.04744
Warmup Train [6][1750/2134]	Time 0.634 (0.631)	Data 0.002 (0.012)	Loss 5.6487 (5.7892)	Top-1 acc 5.078 (2.671)	Top-5 acc 12.500 (9.671)	lr 0.04743
Warmup Train [6][1760/2134]	Time 0.655 (0.630)	Data 0.002 (0.012)	Loss 5.6452 (5.7889)	Top-1 acc 5.078 (2.679)	Top-5 acc 12.891 (9.683)	lr 0.04743
Warmup Train [6][1770/2134]	Time 0.605 (0.630)	Data 0.002 (0.012)	Loss 5.6859 (5.7885)	Top-1 acc 2.344 (2.680)	Top-5 acc 14.062 (9.689)	lr 0.04743
Warmup Train [6][1780/2134]	Time 0.528 (0.630)	Data 0.002 (0.012)	Loss 5.7538 (5.7880)	Top-1 acc 3.516 (2.683)	Top-5 acc 8.984 (9.698)	lr 0.04742
Warmup Train [6][1790/2134]	Time 0.646 (0.631)	Data 0.002 (0.011)	Loss 5.6493 (5.7875)	Top-1 acc 5.859 (2.686)	Top-5 acc 14.844 (9.705)	lr 0.04742
Warmup Train [6][1800/2134]	Time 0.642 (0.630)	Data 0.002 (0.011)	Loss 5.6254 (5.7868)	Top-1 acc 5.078 (2.692)	Top-5 acc 14.844 (9.721)	lr 0.04741
Warmup Train [6][1810/2134]	Time 0.608 (0.630)	Data 0.002 (0.011)	Loss 5.7112 (5.7865)	Top-1 acc 4.297 (2.695)	Top-5 acc 13.281 (9.730)	lr 0.04741
Warmup Train [6][1820/2134]	Time 0.551 (0.630)	Data 0.002 (0.011)	Loss 5.6917 (5.7861)	Top-1 acc 2.344 (2.695)	Top-5 acc 13.281 (9.739)	lr 0.04741
Warmup Train [6][1830/2134]	Time 0.605 (0.630)	Data 0.003 (0.011)	Loss 5.7168 (5.7857)	Top-1 acc 3.516 (2.697)	Top-5 acc 10.938 (9.751)	lr 0.04740
Warmup Train [6][1840/2134]	Time 0.629 (0.630)	Data 0.002 (0.011)	Loss 5.7392 (5.7853)	Top-1 acc 3.516 (2.699)	Top-5 acc 11.719 (9.759)	lr 0.04740
Warmup Train [6][1850/2134]	Time 0.504 (0.631)	Data 0.002 (0.011)	Loss 5.7227 (5.7848)	Top-1 acc 4.297 (2.704)	Top-5 acc 10.938 (9.767)	lr 0.04739
Warmup Train [6][1860/2134]	Time 0.617 (0.631)	Data 0.002 (0.011)	Loss 5.7390 (5.7845)	Top-1 acc 3.125 (2.708)	Top-5 acc 10.547 (9.775)	lr 0.04739
Warmup Train [6][1870/2134]	Time 0.674 (0.630)	Data 0.002 (0.011)	Loss 5.7394 (5.7843)	Top-1 acc 3.516 (2.712)	Top-5 acc 9.766 (9.780)	lr 0.04738
Warmup Train [6][1880/2134]	Time 0.573 (0.630)	Data 0.002 (0.011)	Loss 5.6957 (5.7838)	Top-1 acc 2.344 (2.712)	Top-5 acc 12.500 (9.786)	lr 0.04738
Warmup Train [6][1890/2134]	Time 0.589 (0.630)	Data 0.002 (0.011)	Loss 5.6728 (5.7836)	Top-1 acc 4.297 (2.717)	Top-5 acc 12.500 (9.795)	lr 0.04738
Warmup Train [6][1900/2134]	Time 0.803 (0.630)	Data 0.003 (0.011)	Loss 5.7336 (5.7831)	Top-1 acc 1.172 (2.720)	Top-5 acc 7.031 (9.804)	lr 0.04737
Warmup Train [6][1910/2134]	Time 0.629 (0.630)	Data 0.002 (0.011)	Loss 5.6635 (5.7827)	Top-1 acc 3.906 (2.722)	Top-5 acc 12.891 (9.811)	lr 0.04737
Warmup Train [6][1920/2134]	Time 0.658 (0.630)	Data 0.002 (0.011)	Loss 5.7163 (5.7824)	Top-1 acc 1.953 (2.725)	Top-5 acc 10.156 (9.820)	lr 0.04736
Warmup Train [6][1930/2134]	Time 0.619 (0.630)	Data 0.002 (0.011)	Loss 5.7735 (5.7821)	Top-1 acc 3.516 (2.727)	Top-5 acc 7.812 (9.822)	lr 0.04736
Warmup Train [6][1940/2134]	Time 0.742 (0.630)	Data 0.002 (0.011)	Loss 5.7171 (5.7818)	Top-1 acc 3.516 (2.731)	Top-5 acc 10.547 (9.829)	lr 0.04736
Warmup Train [6][1950/2134]	Time 0.591 (0.630)	Data 0.002 (0.011)	Loss 5.7455 (5.7815)	Top-1 acc 4.688 (2.734)	Top-5 acc 14.453 (9.842)	lr 0.04735
Warmup Train [6][1960/2134]	Time 0.593 (0.630)	Data 0.002 (0.011)	Loss 5.7712 (5.7811)	Top-1 acc 2.734 (2.737)	Top-5 acc 9.375 (9.848)	lr 0.04735
Warmup Train [6][1970/2134]	Time 0.608 (0.629)	Data 0.002 (0.011)	Loss 5.6737 (5.7807)	Top-1 acc 4.297 (2.740)	Top-5 acc 9.766 (9.853)	lr 0.04734
Warmup Train [6][1980/2134]	Time 0.474 (0.630)	Data 0.002 (0.011)	Loss 5.7354 (5.7803)	Top-1 acc 1.953 (2.742)	Top-5 acc 11.719 (9.862)	lr 0.04734
Warmup Train [6][1990/2134]	Time 0.479 (0.630)	Data 0.002 (0.011)	Loss 5.7049 (5.7798)	Top-1 acc 3.125 (2.744)	Top-5 acc 10.547 (9.869)	lr 0.04734
Warmup Train [6][2000/2134]	Time 0.658 (0.630)	Data 0.002 (0.011)	Loss 5.6837 (5.7795)	Top-1 acc 2.344 (2.746)	Top-5 acc 8.984 (9.877)	lr 0.04733
Warmup Train [6][2010/2134]	Time 0.722 (0.630)	Data 0.002 (0.011)	Loss 5.7298 (5.7792)	Top-1 acc 3.906 (2.748)	Top-5 acc 10.156 (9.884)	lr 0.04733
Warmup Train [6][2020/2134]	Time 0.555 (0.629)	Data 0.002 (0.011)	Loss 5.7908 (5.7787)	Top-1 acc 3.125 (2.750)	Top-5 acc 9.766 (9.890)	lr 0.04732
Warmup Train [6][2030/2134]	Time 0.614 (0.630)	Data 0.003 (0.011)	Loss 5.7596 (5.7784)	Top-1 acc 2.734 (2.750)	Top-5 acc 11.719 (9.894)	lr 0.04732
Warmup Train [6][2040/2134]	Time 0.585 (0.630)	Data 0.002 (0.011)	Loss 5.6113 (5.7779)	Top-1 acc 3.906 (2.752)	Top-5 acc 12.500 (9.906)	lr 0.04731
Warmup Train [6][2050/2134]	Time 0.631 (0.630)	Data 0.003 (0.011)	Loss 5.7448 (5.7777)	Top-1 acc 4.297 (2.753)	Top-5 acc 13.281 (9.909)	lr 0.04731
Warmup Train [6][2060/2134]	Time 0.563 (0.630)	Data 0.002 (0.011)	Loss 5.6525 (5.7774)	Top-1 acc 2.734 (2.755)	Top-5 acc 12.891 (9.918)	lr 0.04731
Warmup Train [6][2070/2134]	Time 0.508 (0.630)	Data 0.002 (0.011)	Loss 5.6738 (5.7771)	Top-1 acc 3.906 (2.756)	Top-5 acc 12.109 (9.925)	lr 0.04730
Warmup Train [6][2080/2134]	Time 0.380 (0.629)	Data 0.000 (0.011)	Loss 5.6213 (5.7767)	Top-1 acc 3.125 (2.757)	Top-5 acc 9.766 (9.935)	lr 0.04730
Warmup Train [6][2090/2134]	Time 0.474 (0.629)	Data 0.000 (0.011)	Loss 5.6095 (5.7762)	Top-1 acc 4.297 (2.762)	Top-5 acc 14.844 (9.946)	lr 0.04729
Warmup Train [6][2100/2134]	Time 0.551 (0.629)	Data 0.000 (0.011)	Loss 5.7027 (5.7758)	Top-1 acc 2.734 (2.766)	Top-5 acc 14.453 (9.957)	lr 0.04729
Warmup Train [6][2110/2134]	Time 0.546 (0.629)	Data 0.000 (0.011)	Loss 5.7181 (5.7754)	Top-1 acc 3.516 (2.768)	Top-5 acc 10.547 (9.966)	lr 0.04729
Warmup Train [6][2120/2134]	Time 0.512 (0.629)	Data 0.000 (0.011)	Loss 5.6962 (5.7750)	Top-1 acc 3.125 (2.771)	Top-5 acc 11.328 (9.973)	lr 0.04728
Warmup Train [6][2130/2134]	Time 0.589 (0.629)	Data 0.000 (0.011)	Loss 5.8023 (5.7746)	Top-1 acc 1.172 (2.774)	Top-5 acc 8.984 (9.985)	lr 0.04728
Warmup Train [6][2134/2134]	Time 0.536 (0.628)	Data 0.000 (0.011)	Loss 5.7720 (5.7745)	Top-1 acc 2.139 (2.776)	Top-5 acc 11.230 (9.988)	lr 0.04728
==========Warmup Valid [6/40]	loss 5.273	top-1 acc 4.230	top-5 acc 14.212	Train top-1 2.776	top-5 9.988	flops: 442.4M
Warmup Train [7][0/2134]	Time 11.281 (11.281)	Data 9.553 (9.553)	Loss 5.6760 (5.6760)	Top-1 acc 2.734 (2.734)	Top-5 acc 11.719 (11.719)	lr 0.04728
Warmup Train [7][10/2134]	Time 0.598 (1.769)	Data 0.003 (0.872)	Loss 5.6911 (5.6728)	Top-1 acc 3.906 (3.054)	Top-5 acc 11.328 (12.287)	lr 0.04727
Warmup Train [7][20/2134]	Time 0.678 (1.222)	Data 0.003 (0.459)	Loss 5.6035 (5.6837)	Top-1 acc 3.906 (3.088)	Top-5 acc 12.891 (11.868)	lr 0.04727
Warmup Train [7][30/2134]	Time 0.600 (1.031)	Data 0.003 (0.312)	Loss 5.6292 (5.6881)	Top-1 acc 6.250 (3.100)	Top-5 acc 14.453 (11.794)	lr 0.04726
Warmup Train [7][40/2134]	Time 0.521 (0.925)	Data 0.002 (0.237)	Loss 5.6739 (5.6882)	Top-1 acc 3.906 (3.220)	Top-5 acc 13.281 (11.986)	lr 0.04726
Warmup Train [7][50/2134]	Time 0.713 (0.874)	Data 0.002 (0.194)	Loss 5.5545 (5.6905)	Top-1 acc 4.297 (3.324)	Top-5 acc 14.453 (11.933)	lr 0.04725
Warmup Train [7][60/2134]	Time 0.817 (0.834)	Data 0.002 (0.163)	Loss 5.6442 (5.6887)	Top-1 acc 2.734 (3.356)	Top-5 acc 11.719 (11.988)	lr 0.04725
Warmup Train [7][70/2134]	Time 0.660 (0.810)	Data 0.003 (0.140)	Loss 5.6444 (5.6895)	Top-1 acc 5.078 (3.329)	Top-5 acc 10.938 (11.917)	lr 0.04725
Warmup Train [7][80/2134]	Time 0.770 (0.788)	Data 0.002 (0.123)	Loss 5.6802 (5.6900)	Top-1 acc 3.516 (3.385)	Top-5 acc 11.719 (11.883)	lr 0.04724
Warmup Train [7][90/2134]	Time 0.620 (0.767)	Data 0.002 (0.110)	Loss 5.6543 (5.6873)	Top-1 acc 2.734 (3.314)	Top-5 acc 10.547 (11.800)	lr 0.04724
Warmup Train [7][100/2134]	Time 0.534 (0.751)	Data 0.002 (0.100)	Loss 5.6918 (5.6876)	Top-1 acc 2.344 (3.334)	Top-5 acc 11.328 (11.773)	lr 0.04723
Warmup Train [7][110/2134]	Time 0.485 (0.740)	Data 0.002 (0.091)	Loss 5.6772 (5.6848)	Top-1 acc 3.125 (3.368)	Top-5 acc 13.281 (11.824)	lr 0.04723
Warmup Train [7][120/2134]	Time 0.749 (0.731)	Data 0.002 (0.085)	Loss 5.6448 (5.6848)	Top-1 acc 5.078 (3.386)	Top-5 acc 12.109 (11.845)	lr 0.04722
Warmup Train [7][130/2134]	Time 0.482 (0.721)	Data 0.002 (0.079)	Loss 5.5562 (5.6839)	Top-1 acc 3.125 (3.393)	Top-5 acc 17.188 (11.844)	lr 0.04722
Warmup Train [7][140/2134]	Time 0.591 (0.719)	Data 0.002 (0.074)	Loss 5.7750 (5.6836)	Top-1 acc 3.516 (3.405)	Top-5 acc 8.203 (11.802)	lr 0.04722
Warmup Train [7][150/2134]	Time 0.673 (0.711)	Data 0.002 (0.070)	Loss 5.7247 (5.6826)	Top-1 acc 2.734 (3.456)	Top-5 acc 11.719 (11.843)	lr 0.04721
Warmup Train [7][160/2134]	Time 0.670 (0.705)	Data 0.002 (0.066)	Loss 5.7013 (5.6821)	Top-1 acc 3.516 (3.462)	Top-5 acc 12.891 (11.842)	lr 0.04721
Warmup Train [7][170/2134]	Time 0.592 (0.700)	Data 0.002 (0.062)	Loss 5.6769 (5.6811)	Top-1 acc 4.297 (3.461)	Top-5 acc 14.844 (11.904)	lr 0.04720
Warmup Train [7][180/2134]	Time 0.451 (0.695)	Data 0.002 (0.059)	Loss 5.6577 (5.6797)	Top-1 acc 4.297 (3.472)	Top-5 acc 12.109 (11.932)	lr 0.04720
Warmup Train [7][190/2134]	Time 0.747 (0.692)	Data 0.002 (0.056)	Loss 5.6249 (5.6796)	Top-1 acc 2.734 (3.444)	Top-5 acc 9.375 (11.909)	lr 0.04720
Warmup Train [7][200/2134]	Time 0.476 (0.691)	Data 0.004 (0.054)	Loss 5.7089 (5.6796)	Top-1 acc 2.734 (3.473)	Top-5 acc 9.766 (11.901)	lr 0.04719
Warmup Train [7][210/2134]	Time 0.686 (0.688)	Data 0.002 (0.052)	Loss 5.6993 (5.6794)	Top-1 acc 3.516 (3.466)	Top-5 acc 11.719 (11.902)	lr 0.04719
Warmup Train [7][220/2134]	Time 0.723 (0.684)	Data 0.003 (0.050)	Loss 5.6752 (5.6789)	Top-1 acc 2.344 (3.464)	Top-5 acc 13.672 (11.931)	lr 0.04718
Warmup Train [7][230/2134]	Time 0.623 (0.680)	Data 0.002 (0.047)	Loss 5.7423 (5.6786)	Top-1 acc 0.781 (3.475)	Top-5 acc 11.328 (11.952)	lr 0.04718
Warmup Train [7][240/2134]	Time 0.667 (0.678)	Data 0.002 (0.046)	Loss 5.6947 (5.6797)	Top-1 acc 4.297 (3.465)	Top-5 acc 13.281 (11.947)	lr 0.04717
Warmup Train [7][250/2134]	Time 0.637 (0.676)	Data 0.002 (0.044)	Loss 5.6802 (5.6808)	Top-1 acc 2.734 (3.442)	Top-5 acc 10.938 (11.915)	lr 0.04717
Warmup Train [7][260/2134]	Time 0.518 (0.675)	Data 0.002 (0.042)	Loss 5.5549 (5.6805)	Top-1 acc 3.906 (3.445)	Top-5 acc 15.234 (11.919)	lr 0.04717
Warmup Train [7][270/2134]	Time 0.614 (0.673)	Data 0.002 (0.041)	Loss 5.5808 (5.6793)	Top-1 acc 4.688 (3.469)	Top-5 acc 13.672 (11.951)	lr 0.04716
Warmup Train [7][280/2134]	Time 0.631 (0.670)	Data 0.002 (0.040)	Loss 5.5921 (5.6794)	Top-1 acc 6.250 (3.475)	Top-5 acc 12.891 (11.941)	lr 0.04716
Warmup Train [7][290/2134]	Time 0.620 (0.668)	Data 0.002 (0.039)	Loss 5.6397 (5.6786)	Top-1 acc 1.953 (3.467)	Top-5 acc 12.109 (11.952)	lr 0.04715
Warmup Train [7][300/2134]	Time 0.638 (0.666)	Data 0.002 (0.038)	Loss 5.5565 (5.6784)	Top-1 acc 3.516 (3.473)	Top-5 acc 14.062 (11.937)	lr 0.04715
Warmup Train [7][310/2134]	Time 0.507 (0.664)	Data 0.003 (0.037)	Loss 5.7181 (5.6784)	Top-1 acc 2.734 (3.465)	Top-5 acc 8.203 (11.897)	lr 0.04714
Warmup Train [7][320/2134]	Time 0.611 (0.663)	Data 0.002 (0.036)	Loss 5.7604 (5.6788)	Top-1 acc 5.859 (3.475)	Top-5 acc 12.500 (11.904)	lr 0.04714
Warmup Train [7][330/2134]	Time 0.788 (0.664)	Data 0.002 (0.035)	Loss 5.6437 (5.6785)	Top-1 acc 3.906 (3.503)	Top-5 acc 14.062 (11.922)	lr 0.04714
Warmup Train [7][340/2134]	Time 0.491 (0.662)	Data 0.004 (0.034)	Loss 5.6738 (5.6775)	Top-1 acc 4.297 (3.518)	Top-5 acc 12.109 (11.939)	lr 0.04713
Warmup Train [7][350/2134]	Time 0.559 (0.661)	Data 0.002 (0.034)	Loss 5.6706 (5.6769)	Top-1 acc 3.516 (3.512)	Top-5 acc 11.328 (11.946)	lr 0.04713
Warmup Train [7][360/2134]	Time 0.611 (0.660)	Data 0.003 (0.033)	Loss 5.6503 (5.6759)	Top-1 acc 2.734 (3.508)	Top-5 acc 12.109 (11.957)	lr 0.04712
Warmup Train [7][370/2134]	Time 0.698 (0.659)	Data 0.002 (0.032)	Loss 5.6365 (5.6747)	Top-1 acc 4.688 (3.505)	Top-5 acc 16.016 (11.981)	lr 0.04712
Warmup Train [7][380/2134]	Time 0.661 (0.657)	Data 0.002 (0.032)	Loss 5.6296 (5.6744)	Top-1 acc 4.688 (3.518)	Top-5 acc 13.281 (11.992)	lr 0.04711
Warmup Train [7][390/2134]	Time 0.856 (0.658)	Data 0.002 (0.031)	Loss 5.7316 (5.6746)	Top-1 acc 3.516 (3.523)	Top-5 acc 11.719 (11.995)	lr 0.04711
Warmup Train [7][400/2134]	Time 0.582 (0.657)	Data 0.002 (0.030)	Loss 5.5624 (5.6741)	Top-1 acc 4.297 (3.514)	Top-5 acc 14.453 (11.999)	lr 0.04711
Warmup Train [7][410/2134]	Time 0.670 (0.657)	Data 0.002 (0.030)	Loss 5.6248 (5.6738)	Top-1 acc 1.562 (3.522)	Top-5 acc 13.281 (12.014)	lr 0.04710
Warmup Train [7][420/2134]	Time 0.629 (0.656)	Data 0.002 (0.029)	Loss 5.6367 (5.6728)	Top-1 acc 3.516 (3.528)	Top-5 acc 12.891 (12.055)	lr 0.04710
Warmup Train [7][430/2134]	Time 0.487 (0.655)	Data 0.003 (0.028)	Loss 5.5570 (5.6720)	Top-1 acc 4.297 (3.542)	Top-5 acc 15.625 (12.075)	lr 0.04709
Warmup Train [7][440/2134]	Time 0.601 (0.654)	Data 0.002 (0.028)	Loss 5.6954 (5.6721)	Top-1 acc 3.125 (3.543)	Top-5 acc 14.453 (12.087)	lr 0.04709
Warmup Train [7][450/2134]	Time 0.573 (0.654)	Data 0.003 (0.027)	Loss 5.6147 (5.6725)	Top-1 acc 2.734 (3.527)	Top-5 acc 15.625 (12.077)	lr 0.04708
Warmup Train [7][460/2134]	Time 0.599 (0.653)	Data 0.002 (0.027)	Loss 5.6056 (5.6719)	Top-1 acc 2.344 (3.527)	Top-5 acc 11.328 (12.075)	lr 0.04708
Warmup Train [7][470/2134]	Time 0.659 (0.652)	Data 0.002 (0.026)	Loss 5.6541 (5.6715)	Top-1 acc 3.906 (3.526)	Top-5 acc 12.500 (12.083)	lr 0.04708
Warmup Train [7][480/2134]	Time 0.460 (0.650)	Data 0.002 (0.026)	Loss 5.7041 (5.6712)	Top-1 acc 4.297 (3.531)	Top-5 acc 14.453 (12.113)	lr 0.04707
Warmup Train [7][490/2134]	Time 0.628 (0.649)	Data 0.002 (0.026)	Loss 5.7462 (5.6712)	Top-1 acc 2.344 (3.540)	Top-5 acc 9.766 (12.121)	lr 0.04707
Warmup Train [7][500/2134]	Time 0.579 (0.648)	Data 0.002 (0.026)	Loss 5.7769 (5.6715)	Top-1 acc 3.516 (3.546)	Top-5 acc 10.938 (12.115)	lr 0.04706
Warmup Train [7][510/2134]	Time 0.747 (0.648)	Data 0.002 (0.025)	Loss 5.7099 (5.6721)	Top-1 acc 3.516 (3.536)	Top-5 acc 10.156 (12.110)	lr 0.04706
Warmup Train [7][520/2134]	Time 0.614 (0.649)	Data 0.002 (0.025)	Loss 5.6440 (5.6712)	Top-1 acc 3.906 (3.550)	Top-5 acc 12.891 (12.137)	lr 0.04705
Warmup Train [7][530/2134]	Time 0.642 (0.648)	Data 0.002 (0.025)	Loss 5.5960 (5.6703)	Top-1 acc 6.250 (3.553)	Top-5 acc 15.625 (12.157)	lr 0.04705
Warmup Train [7][540/2134]	Time 0.614 (0.648)	Data 0.002 (0.024)	Loss 5.7148 (5.6693)	Top-1 acc 3.516 (3.560)	Top-5 acc 11.328 (12.192)	lr 0.04705
Warmup Train [7][550/2134]	Time 0.533 (0.647)	Data 0.003 (0.024)	Loss 5.6268 (5.6691)	Top-1 acc 4.297 (3.579)	Top-5 acc 13.281 (12.209)	lr 0.04704
Warmup Train [7][560/2134]	Time 0.677 (0.647)	Data 0.029 (0.024)	Loss 5.6218 (5.6689)	Top-1 acc 6.250 (3.589)	Top-5 acc 11.719 (12.199)	lr 0.04704
Warmup Train [7][570/2134]	Time 0.530 (0.646)	Data 0.004 (0.023)	Loss 5.6282 (5.6683)	Top-1 acc 2.344 (3.598)	Top-5 acc 14.844 (12.231)	lr 0.04703
Warmup Train [7][580/2134]	Time 1.401 (0.646)	Data 0.002 (0.023)	Loss 5.6580 (5.6682)	Top-1 acc 3.906 (3.604)	Top-5 acc 13.281 (12.243)	lr 0.04703
Warmup Train [7][590/2134]	Time 0.611 (0.646)	Data 0.002 (0.023)	Loss 5.7263 (5.6682)	Top-1 acc 2.734 (3.604)	Top-5 acc 12.109 (12.249)	lr 0.04702
Warmup Train [7][600/2134]	Time 0.674 (0.645)	Data 0.002 (0.023)	Loss 5.6751 (5.6681)	Top-1 acc 5.078 (3.611)	Top-5 acc 12.891 (12.258)	lr 0.04702
Warmup Train [7][610/2134]	Time 0.501 (0.645)	Data 0.002 (0.022)	Loss 5.7148 (5.6678)	Top-1 acc 3.125 (3.619)	Top-5 acc 11.328 (12.258)	lr 0.04701
Warmup Train [7][620/2134]	Time 0.581 (0.644)	Data 0.002 (0.022)	Loss 5.6688 (5.6672)	Top-1 acc 4.297 (3.631)	Top-5 acc 12.109 (12.266)	lr 0.04701
Warmup Train [7][630/2134]	Time 0.644 (0.644)	Data 0.004 (0.022)	Loss 5.6545 (5.6669)	Top-1 acc 5.469 (3.635)	Top-5 acc 12.500 (12.260)	lr 0.04701
Warmup Train [7][640/2134]	Time 0.659 (0.643)	Data 0.003 (0.022)	Loss 5.7493 (5.6669)	Top-1 acc 4.297 (3.632)	Top-5 acc 10.938 (12.266)	lr 0.04700
Warmup Train [7][650/2134]	Time 0.678 (0.644)	Data 0.004 (0.021)	Loss 5.6024 (5.6662)	Top-1 acc 3.906 (3.628)	Top-5 acc 14.062 (12.274)	lr 0.04700
Warmup Train [7][660/2134]	Time 0.596 (0.643)	Data 0.004 (0.021)	Loss 5.6424 (5.6659)	Top-1 acc 1.953 (3.637)	Top-5 acc 10.938 (12.291)	lr 0.04699
Warmup Train [7][670/2134]	Time 0.679 (0.643)	Data 0.005 (0.021)	Loss 5.7027 (5.6658)	Top-1 acc 2.734 (3.629)	Top-5 acc 10.547 (12.294)	lr 0.04699
Warmup Train [7][680/2134]	Time 0.579 (0.643)	Data 0.002 (0.021)	Loss 5.5757 (5.6656)	Top-1 acc 4.688 (3.633)	Top-5 acc 16.797 (12.306)	lr 0.04698
Warmup Train [7][690/2134]	Time 0.592 (0.642)	Data 0.002 (0.021)	Loss 5.6480 (5.6653)	Top-1 acc 4.297 (3.636)	Top-5 acc 16.406 (12.322)	lr 0.04698
Warmup Train [7][700/2134]	Time 0.655 (0.642)	Data 0.029 (0.020)	Loss 5.6205 (5.6650)	Top-1 acc 3.125 (3.642)	Top-5 acc 14.453 (12.329)	lr 0.04698
Warmup Train [7][710/2134]	Time 0.721 (0.641)	Data 0.002 (0.020)	Loss 5.5862 (5.6648)	Top-1 acc 1.953 (3.647)	Top-5 acc 14.844 (12.336)	lr 0.04697
Warmup Train [7][720/2134]	Time 0.450 (0.641)	Data 0.002 (0.020)	Loss 5.7506 (5.6653)	Top-1 acc 3.516 (3.645)	Top-5 acc 11.328 (12.323)	lr 0.04697
Warmup Train [7][730/2134]	Time 0.662 (0.641)	Data 0.002 (0.020)	Loss 5.6418 (5.6653)	Top-1 acc 3.125 (3.649)	Top-5 acc 12.500 (12.331)	lr 0.04696
Warmup Train [7][740/2134]	Time 0.499 (0.641)	Data 0.003 (0.020)	Loss 5.6113 (5.6647)	Top-1 acc 3.125 (3.654)	Top-5 acc 10.938 (12.345)	lr 0.04696
Warmup Train [7][750/2134]	Time 0.741 (0.640)	Data 0.002 (0.020)	Loss 5.5942 (5.6647)	Top-1 acc 5.859 (3.660)	Top-5 acc 12.500 (12.348)	lr 0.04695
Warmup Train [7][760/2134]	Time 0.468 (0.640)	Data 0.002 (0.020)	Loss 5.6209 (5.6641)	Top-1 acc 3.906 (3.669)	Top-5 acc 12.109 (12.367)	lr 0.04695
Warmup Train [7][770/2134]	Time 0.427 (0.640)	Data 0.005 (0.019)	Loss 5.6052 (5.6637)	Top-1 acc 3.125 (3.674)	Top-5 acc 12.109 (12.368)	lr 0.04694
Warmup Train [7][780/2134]	Time 0.620 (0.640)	Data 0.003 (0.019)	Loss 5.5573 (5.6632)	Top-1 acc 4.688 (3.678)	Top-5 acc 14.453 (12.371)	lr 0.04694
Warmup Train [7][790/2134]	Time 0.417 (0.640)	Data 0.002 (0.019)	Loss 5.5906 (5.6629)	Top-1 acc 5.469 (3.678)	Top-5 acc 13.281 (12.382)	lr 0.04694
Warmup Train [7][800/2134]	Time 0.639 (0.640)	Data 0.002 (0.019)	Loss 5.7083 (5.6622)	Top-1 acc 1.172 (3.677)	Top-5 acc 10.156 (12.388)	lr 0.04693
Warmup Train [7][810/2134]	Time 0.716 (0.639)	Data 0.002 (0.019)	Loss 5.5396 (5.6619)	Top-1 acc 4.297 (3.678)	Top-5 acc 15.234 (12.397)	lr 0.04693
Warmup Train [7][820/2134]	Time 0.709 (0.639)	Data 0.002 (0.019)	Loss 5.5601 (5.6610)	Top-1 acc 7.422 (3.683)	Top-5 acc 15.625 (12.410)	lr 0.04692
Warmup Train [7][830/2134]	Time 0.771 (0.639)	Data 0.002 (0.019)	Loss 5.6780 (5.6607)	Top-1 acc 5.469 (3.682)	Top-5 acc 14.453 (12.416)	lr 0.04692
Warmup Train [7][840/2134]	Time 0.576 (0.639)	Data 0.002 (0.019)	Loss 5.6426 (5.6605)	Top-1 acc 3.516 (3.681)	Top-5 acc 10.938 (12.410)	lr 0.04691
Warmup Train [7][850/2134]	Time 0.584 (0.639)	Data 0.003 (0.018)	Loss 5.6509 (5.6596)	Top-1 acc 2.734 (3.688)	Top-5 acc 16.406 (12.430)	lr 0.04691
Warmup Train [7][860/2134]	Time 0.841 (0.639)	Data 0.002 (0.018)	Loss 5.5877 (5.6591)	Top-1 acc 4.297 (3.693)	Top-5 acc 12.891 (12.450)	lr 0.04691
Warmup Train [7][870/2134]	Time 0.749 (0.639)	Data 0.002 (0.018)	Loss 5.6839 (5.6587)	Top-1 acc 3.906 (3.700)	Top-5 acc 10.156 (12.456)	lr 0.04690
Warmup Train [7][880/2134]	Time 0.794 (0.638)	Data 0.002 (0.018)	Loss 5.7118 (5.6583)	Top-1 acc 2.344 (3.698)	Top-5 acc 10.938 (12.462)	lr 0.04690
Warmup Train [7][890/2134]	Time 0.667 (0.638)	Data 0.002 (0.018)	Loss 5.7179 (5.6581)	Top-1 acc 4.688 (3.698)	Top-5 acc 12.500 (12.459)	lr 0.04689
Warmup Train [7][900/2134]	Time 0.654 (0.638)	Data 0.003 (0.018)	Loss 5.6195 (5.6578)	Top-1 acc 3.906 (3.698)	Top-5 acc 12.891 (12.456)	lr 0.04689
Warmup Train [7][910/2134]	Time 0.503 (0.637)	Data 0.002 (0.018)	Loss 5.6842 (5.6570)	Top-1 acc 3.906 (3.704)	Top-5 acc 10.156 (12.474)	lr 0.04688
Warmup Train [7][920/2134]	Time 0.728 (0.637)	Data 0.002 (0.017)	Loss 5.5392 (5.6565)	Top-1 acc 6.250 (3.709)	Top-5 acc 16.797 (12.488)	lr 0.04688
Warmup Train [7][930/2134]	Time 0.650 (0.637)	Data 0.004 (0.017)	Loss 5.6117 (5.6561)	Top-1 acc 4.688 (3.711)	Top-5 acc 16.016 (12.494)	lr 0.04687
Warmup Train [7][940/2134]	Time 0.696 (0.637)	Data 0.002 (0.017)	Loss 5.5418 (5.6560)	Top-1 acc 6.250 (3.715)	Top-5 acc 14.844 (12.501)	lr 0.04687
Warmup Train [7][950/2134]	Time 0.628 (0.637)	Data 0.002 (0.017)	Loss 5.6048 (5.6556)	Top-1 acc 3.125 (3.712)	Top-5 acc 15.625 (12.511)	lr 0.04686
Warmup Train [7][960/2134]	Time 0.672 (0.637)	Data 0.002 (0.017)	Loss 5.6264 (5.6555)	Top-1 acc 2.734 (3.710)	Top-5 acc 12.500 (12.504)	lr 0.04686
Warmup Train [7][970/2134]	Time 0.470 (0.636)	Data 0.002 (0.017)	Loss 5.7413 (5.6556)	Top-1 acc 2.344 (3.710)	Top-5 acc 11.719 (12.506)	lr 0.04686
Warmup Train [7][980/2134]	Time 0.651 (0.636)	Data 0.003 (0.017)	Loss 5.6453 (5.6556)	Top-1 acc 2.734 (3.706)	Top-5 acc 13.672 (12.496)	lr 0.04685
Warmup Train [7][990/2134]	Time 0.520 (0.637)	Data 0.002 (0.017)	Loss 5.4940 (5.6552)	Top-1 acc 3.906 (3.705)	Top-5 acc 15.234 (12.500)	lr 0.04685
Warmup Train [7][1000/2134]	Time 0.656 (0.636)	Data 0.002 (0.017)	Loss 5.6081 (5.6546)	Top-1 acc 3.125 (3.711)	Top-5 acc 14.062 (12.518)	lr 0.04684
Warmup Train [7][1010/2134]	Time 0.595 (0.636)	Data 0.002 (0.016)	Loss 5.6437 (5.6542)	Top-1 acc 3.125 (3.703)	Top-5 acc 13.281 (12.516)	lr 0.04684
Warmup Train [7][1020/2134]	Time 0.723 (0.636)	Data 0.002 (0.016)	Loss 5.5660 (5.6537)	Top-1 acc 3.906 (3.712)	Top-5 acc 15.625 (12.535)	lr 0.04683
Warmup Train [7][1030/2134]	Time 0.673 (0.636)	Data 0.002 (0.016)	Loss 5.6626 (5.6533)	Top-1 acc 3.516 (3.717)	Top-5 acc 10.938 (12.545)	lr 0.04683
Warmup Train [7][1040/2134]	Time 0.504 (0.636)	Data 0.002 (0.016)	Loss 5.5654 (5.6527)	Top-1 acc 5.469 (3.724)	Top-5 acc 13.281 (12.555)	lr 0.04682
Warmup Train [7][1050/2134]	Time 0.435 (0.636)	Data 0.002 (0.016)	Loss 5.5416 (5.6522)	Top-1 acc 4.297 (3.731)	Top-5 acc 15.234 (12.566)	lr 0.04682
Warmup Train [7][1060/2134]	Time 0.507 (0.636)	Data 0.002 (0.016)	Loss 5.7765 (5.6519)	Top-1 acc 3.125 (3.735)	Top-5 acc 11.328 (12.573)	lr 0.04682
Warmup Train [7][1070/2134]	Time 0.623 (0.636)	Data 0.002 (0.016)	Loss 5.5320 (5.6515)	Top-1 acc 5.469 (3.739)	Top-5 acc 15.234 (12.576)	lr 0.04681
Warmup Train [7][1080/2134]	Time 0.615 (0.636)	Data 0.002 (0.016)	Loss 5.6206 (5.6513)	Top-1 acc 2.734 (3.740)	Top-5 acc 14.453 (12.580)	lr 0.04681
Warmup Train [7][1090/2134]	Time 0.615 (0.635)	Data 0.002 (0.016)	Loss 5.6384 (5.6511)	Top-1 acc 2.344 (3.738)	Top-5 acc 13.281 (12.583)	lr 0.04680
Warmup Train [7][1100/2134]	Time 0.502 (0.635)	Data 0.002 (0.016)	Loss 5.5405 (5.6507)	Top-1 acc 3.906 (3.741)	Top-5 acc 17.188 (12.596)	lr 0.04680
Warmup Train [7][1110/2134]	Time 0.773 (0.635)	Data 0.002 (0.016)	Loss 5.6271 (5.6504)	Top-1 acc 3.516 (3.739)	Top-5 acc 12.891 (12.602)	lr 0.04679
Warmup Train [7][1120/2134]	Time 0.733 (0.635)	Data 0.002 (0.016)	Loss 5.5402 (5.6500)	Top-1 acc 5.469 (3.741)	Top-5 acc 15.625 (12.611)	lr 0.04679
Warmup Train [7][1130/2134]	Time 0.635 (0.635)	Data 0.002 (0.016)	Loss 5.7249 (5.6497)	Top-1 acc 2.734 (3.740)	Top-5 acc 14.062 (12.616)	lr 0.04678
Warmup Train [7][1140/2134]	Time 0.508 (0.634)	Data 0.002 (0.016)	Loss 5.7213 (5.6497)	Top-1 acc 1.562 (3.740)	Top-5 acc 9.766 (12.618)	lr 0.04678
Warmup Train [7][1150/2134]	Time 0.674 (0.634)	Data 0.002 (0.016)	Loss 5.6027 (5.6493)	Top-1 acc 4.297 (3.743)	Top-5 acc 13.281 (12.626)	lr 0.04678
Warmup Train [7][1160/2134]	Time 0.630 (0.634)	Data 0.002 (0.015)	Loss 5.6813 (5.6492)	Top-1 acc 3.125 (3.749)	Top-5 acc 9.766 (12.632)	lr 0.04677
Warmup Train [7][1170/2134]	Time 0.701 (0.634)	Data 0.004 (0.015)	Loss 5.5789 (5.6488)	Top-1 acc 2.734 (3.752)	Top-5 acc 13.672 (12.639)	lr 0.04677
Warmup Train [7][1180/2134]	Time 0.745 (0.634)	Data 0.003 (0.015)	Loss 5.6066 (5.6483)	Top-1 acc 5.078 (3.759)	Top-5 acc 14.453 (12.646)	lr 0.04676
Warmup Train [7][1190/2134]	Time 0.641 (0.634)	Data 0.003 (0.015)	Loss 5.5903 (5.6480)	Top-1 acc 4.297 (3.758)	Top-5 acc 14.844 (12.653)	lr 0.04676
Warmup Train [7][1200/2134]	Time 0.567 (0.634)	Data 0.002 (0.015)	Loss 5.6609 (5.6476)	Top-1 acc 2.734 (3.756)	Top-5 acc 12.109 (12.662)	lr 0.04675
Warmup Train [7][1210/2134]	Time 0.626 (0.634)	Data 0.002 (0.015)	Loss 5.6410 (5.6472)	Top-1 acc 2.344 (3.756)	Top-5 acc 12.500 (12.672)	lr 0.04675
Warmup Train [7][1220/2134]	Time 0.731 (0.634)	Data 0.002 (0.015)	Loss 5.6261 (5.6470)	Top-1 acc 2.734 (3.757)	Top-5 acc 10.156 (12.673)	lr 0.04674
Warmup Train [7][1230/2134]	Time 0.648 (0.634)	Data 0.002 (0.015)	Loss 5.6291 (5.6464)	Top-1 acc 5.078 (3.762)	Top-5 acc 12.500 (12.681)	lr 0.04674
Warmup Train [7][1240/2134]	Time 0.611 (0.634)	Data 0.002 (0.015)	Loss 5.5925 (5.6460)	Top-1 acc 5.078 (3.768)	Top-5 acc 17.188 (12.695)	lr 0.04673
Warmup Train [7][1250/2134]	Time 0.540 (0.633)	Data 0.002 (0.015)	Loss 5.6721 (5.6456)	Top-1 acc 3.516 (3.780)	Top-5 acc 13.281 (12.711)	lr 0.04673
Warmup Train [7][1260/2134]	Time 0.641 (0.634)	Data 0.002 (0.015)	Loss 5.5809 (5.6451)	Top-1 acc 2.734 (3.786)	Top-5 acc 12.500 (12.724)	lr 0.04673
Warmup Train [7][1270/2134]	Time 0.725 (0.634)	Data 0.002 (0.015)	Loss 5.6241 (5.6449)	Top-1 acc 2.734 (3.789)	Top-5 acc 8.594 (12.727)	lr 0.04672
Warmup Train [7][1280/2134]	Time 0.621 (0.634)	Data 0.002 (0.015)	Loss 5.5814 (5.6445)	Top-1 acc 3.906 (3.786)	Top-5 acc 13.672 (12.727)	lr 0.04672
Warmup Train [7][1290/2134]	Time 0.587 (0.634)	Data 0.002 (0.014)	Loss 5.6237 (5.6444)	Top-1 acc 2.734 (3.787)	Top-5 acc 15.234 (12.731)	lr 0.04671
Warmup Train [7][1300/2134]	Time 0.662 (0.633)	Data 0.006 (0.014)	Loss 5.7518 (5.6444)	Top-1 acc 2.344 (3.786)	Top-5 acc 9.375 (12.730)	lr 0.04671
Warmup Train [7][1310/2134]	Time 0.768 (0.633)	Data 0.002 (0.014)	Loss 5.6094 (5.6439)	Top-1 acc 5.859 (3.791)	Top-5 acc 13.281 (12.744)	lr 0.04670
Warmup Train [7][1320/2134]	Time 1.114 (0.634)	Data 0.002 (0.014)	Loss 5.6778 (5.6436)	Top-1 acc 3.516 (3.794)	Top-5 acc 13.281 (12.750)	lr 0.04670
Warmup Train [7][1330/2134]	Time 0.703 (0.633)	Data 0.002 (0.014)	Loss 5.5732 (5.6433)	Top-1 acc 5.078 (3.795)	Top-5 acc 15.234 (12.757)	lr 0.04669
Warmup Train [7][1340/2134]	Time 0.489 (0.633)	Data 0.002 (0.014)	Loss 5.5639 (5.6428)	Top-1 acc 1.172 (3.799)	Top-5 acc 13.672 (12.772)	lr 0.04669
Warmup Train [7][1350/2134]	Time 0.581 (0.633)	Data 0.002 (0.014)	Loss 5.5842 (5.6424)	Top-1 acc 5.469 (3.804)	Top-5 acc 17.188 (12.777)	lr 0.04668
Warmup Train [7][1360/2134]	Time 0.550 (0.633)	Data 0.003 (0.014)	Loss 5.6794 (5.6422)	Top-1 acc 3.906 (3.808)	Top-5 acc 12.109 (12.785)	lr 0.04668
Warmup Train [7][1370/2134]	Time 0.673 (0.633)	Data 0.002 (0.014)	Loss 5.5894 (5.6421)	Top-1 acc 2.344 (3.807)	Top-5 acc 12.109 (12.784)	lr 0.04668
Warmup Train [7][1380/2134]	Time 0.512 (0.633)	Data 0.003 (0.014)	Loss 5.6195 (5.6415)	Top-1 acc 3.906 (3.810)	Top-5 acc 14.453 (12.798)	lr 0.04667
Warmup Train [7][1390/2134]	Time 0.744 (0.633)	Data 0.004 (0.014)	Loss 5.6541 (5.6414)	Top-1 acc 4.297 (3.811)	Top-5 acc 12.109 (12.802)	lr 0.04667
Warmup Train [7][1400/2134]	Time 0.794 (0.633)	Data 0.002 (0.014)	Loss 5.5829 (5.6411)	Top-1 acc 3.516 (3.814)	Top-5 acc 12.500 (12.808)	lr 0.04666
Warmup Train [7][1410/2134]	Time 0.644 (0.632)	Data 0.002 (0.014)	Loss 5.5284 (5.6409)	Top-1 acc 5.078 (3.814)	Top-5 acc 13.672 (12.808)	lr 0.04666
Warmup Train [7][1420/2134]	Time 0.568 (0.633)	Data 0.002 (0.014)	Loss 5.6575 (5.6406)	Top-1 acc 4.297 (3.819)	Top-5 acc 15.234 (12.816)	lr 0.04665
Warmup Train [7][1430/2134]	Time 0.560 (0.632)	Data 0.004 (0.014)	Loss 5.6552 (5.6403)	Top-1 acc 4.688 (3.821)	Top-5 acc 10.156 (12.819)	lr 0.04665
Warmup Train [7][1440/2134]	Time 0.679 (0.632)	Data 0.002 (0.014)	Loss 5.5180 (5.6401)	Top-1 acc 4.297 (3.822)	Top-5 acc 16.406 (12.819)	lr 0.04664
Warmup Train [7][1450/2134]	Time 0.467 (0.632)	Data 0.005 (0.014)	Loss 5.7243 (5.6399)	Top-1 acc 1.562 (3.827)	Top-5 acc 11.328 (12.820)	lr 0.04664
Warmup Train [7][1460/2134]	Time 0.703 (0.632)	Data 0.002 (0.014)	Loss 5.6081 (5.6395)	Top-1 acc 4.297 (3.830)	Top-5 acc 14.453 (12.837)	lr 0.04663
Warmup Train [7][1470/2134]	Time 0.583 (0.632)	Data 0.002 (0.014)	Loss 5.7542 (5.6392)	Top-1 acc 3.516 (3.831)	Top-5 acc 13.281 (12.847)	lr 0.04663
Warmup Train [7][1480/2134]	Time 0.680 (0.632)	Data 0.003 (0.014)	Loss 5.5572 (5.6388)	Top-1 acc 2.734 (3.833)	Top-5 acc 14.844 (12.856)	lr 0.04662
Warmup Train [7][1490/2134]	Time 0.678 (0.632)	Data 0.002 (0.013)	Loss 5.4923 (5.6383)	Top-1 acc 5.078 (3.839)	Top-5 acc 14.844 (12.869)	lr 0.04662
Warmup Train [7][1500/2134]	Time 0.405 (0.632)	Data 0.002 (0.013)	Loss 5.5280 (5.6378)	Top-1 acc 5.469 (3.844)	Top-5 acc 17.188 (12.886)	lr 0.04662
Warmup Train [7][1510/2134]	Time 0.694 (0.632)	Data 0.002 (0.013)	Loss 5.5933 (5.6375)	Top-1 acc 3.906 (3.847)	Top-5 acc 13.672 (12.895)	lr 0.04661
Warmup Train [7][1520/2134]	Time 0.492 (0.631)	Data 0.002 (0.013)	Loss 5.6523 (5.6371)	Top-1 acc 5.078 (3.853)	Top-5 acc 14.062 (12.902)	lr 0.04661
Warmup Train [7][1530/2134]	Time 0.478 (0.632)	Data 0.002 (0.013)	Loss 5.5350 (5.6365)	Top-1 acc 3.906 (3.861)	Top-5 acc 14.453 (12.913)	lr 0.04660
Warmup Train [7][1540/2134]	Time 0.647 (0.631)	Data 0.002 (0.013)	Loss 5.6451 (5.6361)	Top-1 acc 3.906 (3.864)	Top-5 acc 13.672 (12.923)	lr 0.04660
Warmup Train [7][1550/2134]	Time 0.548 (0.631)	Data 0.002 (0.013)	Loss 5.5804 (5.6356)	Top-1 acc 2.734 (3.865)	Top-5 acc 11.719 (12.931)	lr 0.04659
Warmup Train [7][1560/2134]	Time 0.614 (0.631)	Data 0.003 (0.013)	Loss 5.5357 (5.6355)	Top-1 acc 3.516 (3.870)	Top-5 acc 12.109 (12.933)	lr 0.04659
Warmup Train [7][1570/2134]	Time 0.468 (0.631)	Data 0.002 (0.013)	Loss 5.4767 (5.6350)	Top-1 acc 6.250 (3.877)	Top-5 acc 18.359 (12.947)	lr 0.04658
Warmup Train [7][1580/2134]	Time 0.540 (0.631)	Data 0.002 (0.013)	Loss 5.5402 (5.6348)	Top-1 acc 6.250 (3.883)	Top-5 acc 16.016 (12.956)	lr 0.04658
Warmup Train [7][1590/2134]	Time 0.480 (0.631)	Data 0.002 (0.013)	Loss 5.7157 (5.6344)	Top-1 acc 4.688 (3.890)	Top-5 acc 13.672 (12.973)	lr 0.04657
Warmup Train [7][1600/2134]	Time 0.489 (0.631)	Data 0.002 (0.013)	Loss 5.6796 (5.6342)	Top-1 acc 2.734 (3.888)	Top-5 acc 12.109 (12.974)	lr 0.04657
Warmup Train [7][1610/2134]	Time 0.655 (0.631)	Data 0.002 (0.013)	Loss 5.5055 (5.6338)	Top-1 acc 4.297 (3.893)	Top-5 acc 16.406 (12.983)	lr 0.04656
Warmup Train [7][1620/2134]	Time 0.614 (0.631)	Data 0.002 (0.013)	Loss 5.6074 (5.6336)	Top-1 acc 3.516 (3.893)	Top-5 acc 12.891 (12.986)	lr 0.04656
Warmup Train [7][1630/2134]	Time 0.670 (0.631)	Data 0.002 (0.013)	Loss 5.5125 (5.6330)	Top-1 acc 3.516 (3.896)	Top-5 acc 13.672 (13.000)	lr 0.04655
Warmup Train [7][1640/2134]	Time 0.592 (0.630)	Data 0.002 (0.013)	Loss 5.4965 (5.6327)	Top-1 acc 6.250 (3.900)	Top-5 acc 20.703 (13.010)	lr 0.04655
Warmup Train [7][1650/2134]	Time 0.577 (0.630)	Data 0.002 (0.013)	Loss 5.6554 (5.6324)	Top-1 acc 5.078 (3.905)	Top-5 acc 12.891 (13.021)	lr 0.04655
Warmup Train [7][1660/2134]	Time 0.607 (0.630)	Data 0.002 (0.013)	Loss 5.5269 (5.6320)	Top-1 acc 5.078 (3.908)	Top-5 acc 14.453 (13.031)	lr 0.04654
Warmup Train [7][1670/2134]	Time 0.647 (0.631)	Data 0.002 (0.013)	Loss 5.4729 (5.6318)	Top-1 acc 3.906 (3.908)	Top-5 acc 18.359 (13.041)	lr 0.04654
Warmup Train [7][1680/2134]	Time 0.736 (0.631)	Data 0.002 (0.013)	Loss 5.6010 (5.6314)	Top-1 acc 4.688 (3.909)	Top-5 acc 15.625 (13.048)	lr 0.04653
Warmup Train [7][1690/2134]	Time 0.498 (0.631)	Data 0.002 (0.013)	Loss 5.6207 (5.6311)	Top-1 acc 4.688 (3.912)	Top-5 acc 13.672 (13.057)	lr 0.04653
Warmup Train [7][1700/2134]	Time 0.666 (0.631)	Data 0.002 (0.013)	Loss 5.6505 (5.6309)	Top-1 acc 2.344 (3.915)	Top-5 acc 11.328 (13.066)	lr 0.04652
Warmup Train [7][1710/2134]	Time 0.727 (0.630)	Data 0.002 (0.013)	Loss 5.6673 (5.6306)	Top-1 acc 3.906 (3.920)	Top-5 acc 15.234 (13.074)	lr 0.04652
Warmup Train [7][1720/2134]	Time 0.492 (0.630)	Data 0.002 (0.013)	Loss 5.6221 (5.6304)	Top-1 acc 4.688 (3.917)	Top-5 acc 13.672 (13.080)	lr 0.04651
Warmup Train [7][1730/2134]	Time 0.680 (0.630)	Data 0.002 (0.013)	Loss 5.4562 (5.6300)	Top-1 acc 6.641 (3.922)	Top-5 acc 16.016 (13.093)	lr 0.04651
Warmup Train [7][1740/2134]	Time 0.390 (0.630)	Data 0.002 (0.013)	Loss 5.4560 (5.6296)	Top-1 acc 5.469 (3.925)	Top-5 acc 13.672 (13.100)	lr 0.04650
Warmup Train [7][1750/2134]	Time 0.631 (0.630)	Data 0.002 (0.013)	Loss 5.6666 (5.6295)	Top-1 acc 3.125 (3.925)	Top-5 acc 9.375 (13.101)	lr 0.04650
Warmup Train [7][1760/2134]	Time 0.711 (0.630)	Data 0.002 (0.013)	Loss 5.6098 (5.6292)	Top-1 acc 4.688 (3.926)	Top-5 acc 14.062 (13.104)	lr 0.04649
Warmup Train [7][1770/2134]	Time 0.683 (0.630)	Data 0.002 (0.013)	Loss 5.5730 (5.6289)	Top-1 acc 3.906 (3.928)	Top-5 acc 16.016 (13.116)	lr 0.04649
Warmup Train [7][1780/2134]	Time 0.804 (0.630)	Data 0.002 (0.013)	Loss 5.5926 (5.6287)	Top-1 acc 2.734 (3.931)	Top-5 acc 13.672 (13.125)	lr 0.04648
Warmup Train [7][1790/2134]	Time 0.679 (0.630)	Data 0.002 (0.013)	Loss 5.5310 (5.6284)	Top-1 acc 5.078 (3.930)	Top-5 acc 20.703 (13.131)	lr 0.04648
Warmup Train [7][1800/2134]	Time 0.642 (0.630)	Data 0.002 (0.013)	Loss 5.5554 (5.6280)	Top-1 acc 7.031 (3.934)	Top-5 acc 15.625 (13.142)	lr 0.04648
Warmup Train [7][1810/2134]	Time 0.737 (0.630)	Data 0.003 (0.013)	Loss 5.4563 (5.6279)	Top-1 acc 8.594 (3.937)	Top-5 acc 20.312 (13.151)	lr 0.04647
Warmup Train [7][1820/2134]	Time 0.493 (0.630)	Data 0.002 (0.012)	Loss 5.5988 (5.6275)	Top-1 acc 4.688 (3.941)	Top-5 acc 11.719 (13.158)	lr 0.04647
Warmup Train [7][1830/2134]	Time 0.542 (0.630)	Data 0.002 (0.012)	Loss 5.5766 (5.6274)	Top-1 acc 2.734 (3.944)	Top-5 acc 14.844 (13.165)	lr 0.04646
Warmup Train [7][1840/2134]	Time 0.562 (0.630)	Data 0.002 (0.012)	Loss 5.6275 (5.6270)	Top-1 acc 3.516 (3.949)	Top-5 acc 11.719 (13.169)	lr 0.04646
Warmup Train [7][1850/2134]	Time 0.528 (0.630)	Data 0.002 (0.012)	Loss 5.6021 (5.6267)	Top-1 acc 2.734 (3.948)	Top-5 acc 12.891 (13.171)	lr 0.04645
Warmup Train [7][1860/2134]	Time 0.684 (0.630)	Data 0.002 (0.012)	Loss 5.6103 (5.6262)	Top-1 acc 4.297 (3.951)	Top-5 acc 14.062 (13.182)	lr 0.04645
Warmup Train [7][1870/2134]	Time 0.528 (0.630)	Data 0.002 (0.012)	Loss 5.5775 (5.6258)	Top-1 acc 3.125 (3.955)	Top-5 acc 14.844 (13.193)	lr 0.04644
Warmup Train [7][1880/2134]	Time 0.638 (0.630)	Data 0.002 (0.012)	Loss 5.6449 (5.6254)	Top-1 acc 3.516 (3.958)	Top-5 acc 12.891 (13.201)	lr 0.04644
Warmup Train [7][1890/2134]	Time 0.657 (0.630)	Data 0.002 (0.012)	Loss 5.5158 (5.6252)	Top-1 acc 4.297 (3.961)	Top-5 acc 15.625 (13.204)	lr 0.04643
Warmup Train [7][1900/2134]	Time 0.771 (0.630)	Data 0.002 (0.012)	Loss 5.6408 (5.6249)	Top-1 acc 4.297 (3.965)	Top-5 acc 15.234 (13.218)	lr 0.04643
Warmup Train [7][1910/2134]	Time 0.749 (0.630)	Data 0.002 (0.012)	Loss 5.4637 (5.6245)	Top-1 acc 3.125 (3.967)	Top-5 acc 14.453 (13.230)	lr 0.04642
Warmup Train [7][1920/2134]	Time 0.658 (0.630)	Data 0.002 (0.012)	Loss 5.6488 (5.6242)	Top-1 acc 4.688 (3.972)	Top-5 acc 14.844 (13.236)	lr 0.04642
Warmup Train [7][1930/2134]	Time 0.663 (0.630)	Data 0.002 (0.012)	Loss 5.4217 (5.6238)	Top-1 acc 7.031 (3.974)	Top-5 acc 17.188 (13.244)	lr 0.04641
Warmup Train [7][1940/2134]	Time 0.450 (0.630)	Data 0.002 (0.012)	Loss 5.5786 (5.6236)	Top-1 acc 2.344 (3.977)	Top-5 acc 14.453 (13.248)	lr 0.04641
Warmup Train [7][1950/2134]	Time 0.672 (0.630)	Data 0.002 (0.012)	Loss 5.5409 (5.6231)	Top-1 acc 6.250 (3.981)	Top-5 acc 16.797 (13.259)	lr 0.04640
Warmup Train [7][1960/2134]	Time 0.711 (0.630)	Data 0.002 (0.012)	Loss 5.5622 (5.6228)	Top-1 acc 3.906 (3.983)	Top-5 acc 14.844 (13.266)	lr 0.04640
Warmup Train [7][1970/2134]	Time 0.533 (0.630)	Data 0.003 (0.012)	Loss 5.5724 (5.6226)	Top-1 acc 3.906 (3.983)	Top-5 acc 15.625 (13.268)	lr 0.04639
Warmup Train [7][1980/2134]	Time 0.499 (0.630)	Data 0.002 (0.012)	Loss 5.6080 (5.6224)	Top-1 acc 5.078 (3.986)	Top-5 acc 12.109 (13.272)	lr 0.04639
Warmup Train [7][1990/2134]	Time 0.646 (0.630)	Data 0.002 (0.012)	Loss 5.4693 (5.6220)	Top-1 acc 4.688 (3.990)	Top-5 acc 14.844 (13.278)	lr 0.04639
Warmup Train [7][2000/2134]	Time 0.585 (0.630)	Data 0.002 (0.012)	Loss 5.6493 (5.6218)	Top-1 acc 5.859 (3.995)	Top-5 acc 13.281 (13.284)	lr 0.04638
Warmup Train [7][2010/2134]	Time 0.531 (0.630)	Data 0.002 (0.012)	Loss 5.5030 (5.6214)	Top-1 acc 7.031 (4.000)	Top-5 acc 16.406 (13.293)	lr 0.04638
Warmup Train [7][2020/2134]	Time 0.637 (0.630)	Data 0.002 (0.012)	Loss 5.6280 (5.6211)	Top-1 acc 4.688 (4.003)	Top-5 acc 14.062 (13.297)	lr 0.04637
Warmup Train [7][2030/2134]	Time 0.539 (0.630)	Data 0.002 (0.012)	Loss 5.6454 (5.6208)	Top-1 acc 1.953 (4.004)	Top-5 acc 9.766 (13.302)	lr 0.04637
Warmup Train [7][2040/2134]	Time 0.665 (0.630)	Data 0.002 (0.012)	Loss 5.6130 (5.6204)	Top-1 acc 2.734 (4.006)	Top-5 acc 12.109 (13.307)	lr 0.04636
Warmup Train [7][2050/2134]	Time 0.576 (0.630)	Data 0.002 (0.012)	Loss 5.4706 (5.6201)	Top-1 acc 4.688 (4.008)	Top-5 acc 15.234 (13.312)	lr 0.04636
Warmup Train [7][2060/2134]	Time 0.736 (0.630)	Data 0.002 (0.012)	Loss 5.5007 (5.6196)	Top-1 acc 7.422 (4.014)	Top-5 acc 18.359 (13.324)	lr 0.04635
Warmup Train [7][2070/2134]	Time 0.651 (0.630)	Data 0.002 (0.012)	Loss 5.5683 (5.6194)	Top-1 acc 2.344 (4.017)	Top-5 acc 13.672 (13.333)	lr 0.04635
Warmup Train [7][2080/2134]	Time 0.606 (0.630)	Data 0.000 (0.012)	Loss 5.5524 (5.6189)	Top-1 acc 3.906 (4.021)	Top-5 acc 15.234 (13.349)	lr 0.04634
Warmup Train [7][2090/2134]	Time 0.492 (0.629)	Data 0.000 (0.012)	Loss 5.6409 (5.6187)	Top-1 acc 4.688 (4.025)	Top-5 acc 12.109 (13.351)	lr 0.04634
Warmup Train [7][2100/2134]	Time 1.231 (0.630)	Data 0.000 (0.012)	Loss 5.6218 (5.6184)	Top-1 acc 3.125 (4.029)	Top-5 acc 12.891 (13.360)	lr 0.04633
Warmup Train [7][2110/2134]	Time 0.668 (0.629)	Data 0.000 (0.012)	Loss 5.4007 (5.6181)	Top-1 acc 4.297 (4.034)	Top-5 acc 16.406 (13.366)	lr 0.04633
Warmup Train [7][2120/2134]	Time 0.516 (0.629)	Data 0.000 (0.012)	Loss 5.5605 (5.6179)	Top-1 acc 1.953 (4.035)	Top-5 acc 16.016 (13.371)	lr 0.04632
Warmup Train [7][2130/2134]	Time 0.587 (0.629)	Data 0.000 (0.012)	Loss 5.6690 (5.6176)	Top-1 acc 3.516 (4.037)	Top-5 acc 12.109 (13.383)	lr 0.04632
Warmup Train [7][2134/2134]	Time 0.541 (0.629)	Data 0.000 (0.012)	Loss 5.5262 (5.6175)	Top-1 acc 4.278 (4.038)	Top-5 acc 14.439 (13.384)	lr 0.04632
==========Warmup Valid [7/40]	loss 5.076	top-1 acc 6.117	top-5 acc 18.509	Train top-1 4.038	top-5 13.384	flops: 442.4M
Warmup Train [8][0/2134]	Time 10.314 (10.314)	Data 8.239 (8.239)	Loss 5.5059 (5.5059)	Top-1 acc 6.641 (6.641)	Top-5 acc 16.406 (16.406)	lr 0.04632
Warmup Train [8][10/2134]	Time 0.490 (1.628)	Data 0.003 (0.754)	Loss 5.4638 (5.5230)	Top-1 acc 7.031 (5.575)	Top-5 acc 20.312 (16.229)	lr 0.04631
Warmup Train [8][20/2134]	Time 0.656 (1.210)	Data 0.002 (0.399)	Loss 5.5797 (5.5200)	Top-1 acc 3.906 (5.060)	Top-5 acc 14.062 (15.848)	lr 0.04631
Warmup Train [8][30/2134]	Time 0.670 (1.017)	Data 0.002 (0.272)	Loss 5.5241 (5.5229)	Top-1 acc 3.906 (4.977)	Top-5 acc 13.672 (15.461)	lr 0.04630
Warmup Train [8][40/2134]	Time 0.744 (0.923)	Data 0.002 (0.206)	Loss 5.4988 (5.5311)	Top-1 acc 6.250 (4.849)	Top-5 acc 19.922 (15.301)	lr 0.04630
Warmup Train [8][50/2134]	Time 0.635 (0.864)	Data 0.002 (0.166)	Loss 5.5768 (5.5319)	Top-1 acc 3.516 (4.871)	Top-5 acc 13.672 (15.158)	lr 0.04629
Warmup Train [8][60/2134]	Time 0.521 (0.824)	Data 0.002 (0.139)	Loss 5.5462 (5.5301)	Top-1 acc 4.688 (4.848)	Top-5 acc 12.109 (15.170)	lr 0.04629
Warmup Train [8][70/2134]	Time 0.676 (0.798)	Data 0.002 (0.121)	Loss 5.5163 (5.5292)	Top-1 acc 5.859 (4.792)	Top-5 acc 17.969 (15.229)	lr 0.04628
Warmup Train [8][80/2134]	Time 0.577 (0.773)	Data 0.002 (0.107)	Loss 5.5133 (5.5333)	Top-1 acc 5.859 (4.697)	Top-5 acc 15.625 (15.123)	lr 0.04628
Warmup Train [8][90/2134]	Time 0.495 (0.767)	Data 0.002 (0.097)	Loss 5.5154 (5.5359)	Top-1 acc 4.297 (4.649)	Top-5 acc 11.719 (15.088)	lr 0.04627
Warmup Train [8][100/2134]	Time 0.772 (0.754)	Data 0.002 (0.088)	Loss 5.5921 (5.5361)	Top-1 acc 5.469 (4.610)	Top-5 acc 19.141 (15.095)	lr 0.04627
Warmup Train [8][110/2134]	Time 0.604 (0.739)	Data 0.002 (0.081)	Loss 5.4944 (5.5349)	Top-1 acc 3.906 (4.617)	Top-5 acc 14.062 (15.041)	lr 0.04626
Warmup Train [8][120/2134]	Time 0.706 (0.732)	Data 0.002 (0.075)	Loss 5.6240 (5.5378)	Top-1 acc 4.297 (4.636)	Top-5 acc 10.547 (15.037)	lr 0.04626
Warmup Train [8][130/2134]	Time 0.545 (0.722)	Data 0.003 (0.070)	Loss 5.5710 (5.5358)	Top-1 acc 5.078 (4.682)	Top-5 acc 16.016 (15.133)	lr 0.04625
Warmup Train [8][140/2134]	Time 0.662 (0.716)	Data 0.002 (0.066)	Loss 5.5467 (5.5373)	Top-1 acc 5.469 (4.688)	Top-5 acc 12.500 (15.126)	lr 0.04625
Warmup Train [8][150/2134]	Time 0.528 (0.708)	Data 0.004 (0.061)	Loss 5.7380 (5.5361)	Top-1 acc 3.516 (4.731)	Top-5 acc 11.719 (15.219)	lr 0.04624
Warmup Train [8][160/2134]	Time 0.681 (0.704)	Data 0.002 (0.059)	Loss 5.4901 (5.5351)	Top-1 acc 4.688 (4.751)	Top-5 acc 17.578 (15.307)	lr 0.04624
Warmup Train [8][170/2134]	Time 0.585 (0.702)	Data 0.002 (0.056)	Loss 5.5696 (5.5341)	Top-1 acc 3.516 (4.754)	Top-5 acc 11.719 (15.266)	lr 0.04623
Warmup Train [8][180/2134]	Time 0.491 (0.697)	Data 0.002 (0.053)	Loss 5.4421 (5.5319)	Top-1 acc 7.031 (4.780)	Top-5 acc 17.188 (15.362)	lr 0.04623
Warmup Train [8][190/2134]	Time 0.622 (0.693)	Data 0.003 (0.051)	Loss 5.5144 (5.5324)	Top-1 acc 4.688 (4.759)	Top-5 acc 16.406 (15.330)	lr 0.04622
Warmup Train [8][200/2134]	Time 0.751 (0.689)	Data 0.002 (0.049)	Loss 5.5148 (5.5323)	Top-1 acc 3.906 (4.754)	Top-5 acc 12.500 (15.339)	lr 0.04622
Warmup Train [8][210/2134]	Time 0.645 (0.685)	Data 0.002 (0.047)	Loss 5.3771 (5.5302)	Top-1 acc 6.641 (4.795)	Top-5 acc 20.312 (15.425)	lr 0.04621
Warmup Train [8][220/2134]	Time 0.600 (0.682)	Data 0.003 (0.045)	Loss 5.5444 (5.5303)	Top-1 acc 4.297 (4.788)	Top-5 acc 14.453 (15.411)	lr 0.04621
Warmup Train [8][230/2134]	Time 0.787 (0.679)	Data 0.002 (0.043)	Loss 5.6411 (5.5330)	Top-1 acc 2.734 (4.757)	Top-5 acc 9.766 (15.312)	lr 0.04620
Warmup Train [8][240/2134]	Time 0.674 (0.680)	Data 0.002 (0.041)	Loss 5.5422 (5.5318)	Top-1 acc 4.297 (4.775)	Top-5 acc 14.844 (15.351)	lr 0.04620
Warmup Train [8][250/2134]	Time 0.501 (0.678)	Data 0.002 (0.040)	Loss 5.6177 (5.5321)	Top-1 acc 4.297 (4.768)	Top-5 acc 14.062 (15.376)	lr 0.04619
Warmup Train [8][260/2134]	Time 0.644 (0.676)	Data 0.003 (0.039)	Loss 5.5285 (5.5315)	Top-1 acc 4.297 (4.756)	Top-5 acc 15.234 (15.369)	lr 0.04619
Warmup Train [8][270/2134]	Time 0.587 (0.674)	Data 0.003 (0.038)	Loss 5.3395 (5.5301)	Top-1 acc 5.469 (4.775)	Top-5 acc 19.141 (15.391)	lr 0.04619
Warmup Train [8][280/2134]	Time 0.447 (0.671)	Data 0.003 (0.037)	Loss 5.5356 (5.5294)	Top-1 acc 3.125 (4.796)	Top-5 acc 14.453 (15.396)	lr 0.04618
Warmup Train [8][290/2134]	Time 0.703 (0.669)	Data 0.002 (0.036)	Loss 5.5305 (5.5305)	Top-1 acc 4.688 (4.775)	Top-5 acc 17.578 (15.391)	lr 0.04618
Warmup Train [8][300/2134]	Time 0.694 (0.667)	Data 0.003 (0.035)	Loss 5.6349 (5.5314)	Top-1 acc 5.078 (4.771)	Top-5 acc 15.625 (15.391)	lr 0.04617
Warmup Train [8][310/2134]	Time 0.454 (0.665)	Data 0.002 (0.034)	Loss 5.5778 (5.5317)	Top-1 acc 2.344 (4.768)	Top-5 acc 10.938 (15.364)	lr 0.04617
Warmup Train [8][320/2134]	Time 0.601 (0.665)	Data 0.002 (0.033)	Loss 5.4642 (5.5317)	Top-1 acc 7.812 (4.799)	Top-5 acc 19.922 (15.402)	lr 0.04616
Warmup Train [8][330/2134]	Time 0.656 (0.663)	Data 0.004 (0.033)	Loss 5.4197 (5.5320)	Top-1 acc 4.688 (4.785)	Top-5 acc 17.188 (15.397)	lr 0.04616
Warmup Train [8][340/2134]	Time 0.476 (0.661)	Data 0.002 (0.032)	Loss 5.5978 (5.5321)	Top-1 acc 4.297 (4.780)	Top-5 acc 12.109 (15.407)	lr 0.04615
Warmup Train [8][350/2134]	Time 0.525 (0.660)	Data 0.026 (0.032)	Loss 5.5733 (5.5322)	Top-1 acc 5.078 (4.775)	Top-5 acc 12.500 (15.399)	lr 0.04615
Warmup Train [8][360/2134]	Time 0.705 (0.659)	Data 0.006 (0.031)	Loss 5.4894 (5.5321)	Top-1 acc 6.250 (4.791)	Top-5 acc 17.578 (15.417)	lr 0.04614
Warmup Train [8][370/2134]	Time 0.623 (0.658)	Data 0.002 (0.030)	Loss 5.4036 (5.5315)	Top-1 acc 7.031 (4.813)	Top-5 acc 17.188 (15.427)	lr 0.04614
Warmup Train [8][380/2134]	Time 0.607 (0.657)	Data 0.002 (0.030)	Loss 5.5099 (5.5317)	Top-1 acc 6.250 (4.833)	Top-5 acc 16.406 (15.434)	lr 0.04613
Warmup Train [8][390/2134]	Time 0.805 (0.658)	Data 0.002 (0.029)	Loss 5.4896 (5.5325)	Top-1 acc 7.031 (4.848)	Top-5 acc 19.141 (15.438)	lr 0.04613
Warmup Train [8][400/2134]	Time 0.668 (0.657)	Data 0.002 (0.028)	Loss 5.4958 (5.5318)	Top-1 acc 6.641 (4.875)	Top-5 acc 17.969 (15.463)	lr 0.04612
Warmup Train [8][410/2134]	Time 0.534 (0.655)	Data 0.002 (0.028)	Loss 5.5493 (5.5311)	Top-1 acc 2.734 (4.883)	Top-5 acc 16.016 (15.507)	lr 0.04612
Warmup Train [8][420/2134]	Time 0.627 (0.654)	Data 0.003 (0.028)	Loss 5.4714 (5.5299)	Top-1 acc 5.469 (4.893)	Top-5 acc 15.234 (15.519)	lr 0.04611
Warmup Train [8][430/2134]	Time 0.534 (0.652)	Data 0.002 (0.027)	Loss 5.5479 (5.5292)	Top-1 acc 3.516 (4.901)	Top-5 acc 14.844 (15.552)	lr 0.04611
Warmup Train [8][440/2134]	Time 0.415 (0.652)	Data 0.002 (0.027)	Loss 5.4958 (5.5291)	Top-1 acc 4.688 (4.897)	Top-5 acc 14.453 (15.541)	lr 0.04610
Warmup Train [8][450/2134]	Time 0.707 (0.651)	Data 0.003 (0.027)	Loss 5.5011 (5.5286)	Top-1 acc 2.734 (4.895)	Top-5 acc 11.719 (15.525)	lr 0.04610
Warmup Train [8][460/2134]	Time 1.305 (0.652)	Data 0.002 (0.026)	Loss 5.6262 (5.5288)	Top-1 acc 6.250 (4.910)	Top-5 acc 12.500 (15.522)	lr 0.04609
Warmup Train [8][470/2134]	Time 0.643 (0.651)	Data 0.002 (0.026)	Loss 5.5316 (5.5288)	Top-1 acc 3.906 (4.904)	Top-5 acc 19.141 (15.525)	lr 0.04609
Warmup Train [8][480/2134]	Time 0.608 (0.650)	Data 0.002 (0.026)	Loss 5.5371 (5.5289)	Top-1 acc 4.297 (4.896)	Top-5 acc 15.625 (15.510)	lr 0.04608
Warmup Train [8][490/2134]	Time 0.432 (0.649)	Data 0.002 (0.025)	Loss 5.6336 (5.5295)	Top-1 acc 5.469 (4.892)	Top-5 acc 14.453 (15.499)	lr 0.04608
Warmup Train [8][500/2134]	Time 0.672 (0.648)	Data 0.004 (0.025)	Loss 5.5128 (5.5294)	Top-1 acc 7.031 (4.896)	Top-5 acc 15.234 (15.506)	lr 0.04607
Warmup Train [8][510/2134]	Time 0.486 (0.648)	Data 0.002 (0.025)	Loss 5.5381 (5.5298)	Top-1 acc 3.125 (4.906)	Top-5 acc 11.719 (15.505)	lr 0.04607
Warmup Train [8][520/2134]	Time 0.605 (0.647)	Data 0.002 (0.025)	Loss 5.6173 (5.5302)	Top-1 acc 5.078 (4.913)	Top-5 acc 14.453 (15.492)	lr 0.04606
Warmup Train [8][530/2134]	Time 0.674 (0.646)	Data 0.003 (0.024)	Loss 5.4616 (5.5295)	Top-1 acc 5.469 (4.923)	Top-5 acc 20.312 (15.512)	lr 0.04606
Warmup Train [8][540/2134]	Time 0.763 (0.647)	Data 0.002 (0.024)	Loss 5.4521 (5.5288)	Top-1 acc 6.250 (4.933)	Top-5 acc 16.797 (15.528)	lr 0.04605
Warmup Train [8][550/2134]	Time 0.620 (0.646)	Data 0.002 (0.023)	Loss 5.6569 (5.5288)	Top-1 acc 4.688 (4.924)	Top-5 acc 10.938 (15.513)	lr 0.04605
Warmup Train [8][560/2134]	Time 0.619 (0.645)	Data 0.003 (0.023)	Loss 5.5675 (5.5286)	Top-1 acc 4.297 (4.918)	Top-5 acc 17.969 (15.525)	lr 0.04604
Warmup Train [8][570/2134]	Time 0.467 (0.644)	Data 0.002 (0.023)	Loss 5.5097 (5.5282)	Top-1 acc 4.297 (4.921)	Top-5 acc 15.234 (15.544)	lr 0.04604
Warmup Train [8][580/2134]	Time 0.643 (0.644)	Data 0.002 (0.023)	Loss 5.4927 (5.5283)	Top-1 acc 4.688 (4.928)	Top-5 acc 16.406 (15.550)	lr 0.04603
Warmup Train [8][590/2134]	Time 0.579 (0.644)	Data 0.002 (0.022)	Loss 5.5919 (5.5278)	Top-1 acc 5.078 (4.939)	Top-5 acc 19.141 (15.570)	lr 0.04603
Warmup Train [8][600/2134]	Time 0.503 (0.644)	Data 0.002 (0.022)	Loss 5.5462 (5.5274)	Top-1 acc 5.469 (4.942)	Top-5 acc 16.406 (15.568)	lr 0.04602
Warmup Train [8][610/2134]	Time 1.418 (0.645)	Data 0.002 (0.022)	Loss 5.6388 (5.5268)	Top-1 acc 6.250 (4.937)	Top-5 acc 17.969 (15.578)	lr 0.04602
Warmup Train [8][620/2134]	Time 0.604 (0.644)	Data 0.002 (0.022)	Loss 5.5831 (5.5271)	Top-1 acc 4.688 (4.927)	Top-5 acc 17.578 (15.573)	lr 0.04601
Warmup Train [8][630/2134]	Time 0.499 (0.644)	Data 0.004 (0.021)	Loss 5.5538 (5.5272)	Top-1 acc 3.906 (4.931)	Top-5 acc 13.281 (15.562)	lr 0.04601
Warmup Train [8][640/2134]	Time 0.618 (0.644)	Data 0.003 (0.021)	Loss 5.5438 (5.5269)	Top-1 acc 5.859 (4.943)	Top-5 acc 20.312 (15.575)	lr 0.04600
Warmup Train [8][650/2134]	Time 0.670 (0.644)	Data 0.003 (0.021)	Loss 5.5483 (5.5267)	Top-1 acc 3.906 (4.943)	Top-5 acc 13.672 (15.587)	lr 0.04600
Warmup Train [8][660/2134]	Time 0.598 (0.643)	Data 0.002 (0.021)	Loss 5.4652 (5.5264)	Top-1 acc 3.906 (4.940)	Top-5 acc 16.406 (15.576)	lr 0.04599
Warmup Train [8][670/2134]	Time 0.494 (0.643)	Data 0.002 (0.020)	Loss 5.5092 (5.5263)	Top-1 acc 7.031 (4.941)	Top-5 acc 17.188 (15.574)	lr 0.04599
Warmup Train [8][680/2134]	Time 0.743 (0.642)	Data 0.002 (0.020)	Loss 5.4745 (5.5260)	Top-1 acc 5.859 (4.945)	Top-5 acc 17.188 (15.573)	lr 0.04598
Warmup Train [8][690/2134]	Time 0.487 (0.643)	Data 0.002 (0.020)	Loss 5.6508 (5.5260)	Top-1 acc 3.906 (4.941)	Top-5 acc 12.109 (15.577)	lr 0.04598
Warmup Train [8][700/2134]	Time 0.517 (0.643)	Data 0.002 (0.020)	Loss 5.5069 (5.5260)	Top-1 acc 3.125 (4.943)	Top-5 acc 14.062 (15.567)	lr 0.04597
Warmup Train [8][710/2134]	Time 0.483 (0.642)	Data 0.002 (0.020)	Loss 5.4240 (5.5252)	Top-1 acc 7.422 (4.953)	Top-5 acc 18.750 (15.581)	lr 0.04597
Warmup Train [8][720/2134]	Time 0.692 (0.642)	Data 0.003 (0.020)	Loss 5.5735 (5.5251)	Top-1 acc 5.469 (4.955)	Top-5 acc 16.797 (15.583)	lr 0.04596
Warmup Train [8][730/2134]	Time 0.593 (0.641)	Data 0.002 (0.020)	Loss 5.5937 (5.5250)	Top-1 acc 3.906 (4.948)	Top-5 acc 11.719 (15.581)	lr 0.04596
Warmup Train [8][740/2134]	Time 0.614 (0.640)	Data 0.002 (0.019)	Loss 5.5636 (5.5244)	Top-1 acc 5.859 (4.956)	Top-5 acc 14.844 (15.612)	lr 0.04595
Warmup Train [8][750/2134]	Time 0.557 (0.640)	Data 0.002 (0.019)	Loss 5.5172 (5.5238)	Top-1 acc 4.688 (4.954)	Top-5 acc 14.844 (15.628)	lr 0.04595
Warmup Train [8][760/2134]	Time 0.528 (0.640)	Data 0.003 (0.019)	Loss 5.5745 (5.5234)	Top-1 acc 3.906 (4.962)	Top-5 acc 13.672 (15.636)	lr 0.04594
Warmup Train [8][770/2134]	Time 0.461 (0.640)	Data 0.002 (0.019)	Loss 5.5468 (5.5233)	Top-1 acc 5.469 (4.962)	Top-5 acc 15.625 (15.635)	lr 0.04594
Warmup Train [8][780/2134]	Time 0.430 (0.640)	Data 0.002 (0.019)	Loss 5.5123 (5.5232)	Top-1 acc 7.812 (4.967)	Top-5 acc 18.359 (15.636)	lr 0.04593
Warmup Train [8][790/2134]	Time 0.533 (0.640)	Data 0.002 (0.019)	Loss 5.4903 (5.5231)	Top-1 acc 5.078 (4.965)	Top-5 acc 17.188 (15.636)	lr 0.04593
Warmup Train [8][800/2134]	Time 0.517 (0.639)	Data 0.002 (0.019)	Loss 5.4014 (5.5227)	Top-1 acc 7.812 (4.969)	Top-5 acc 17.188 (15.639)	lr 0.04592
Warmup Train [8][810/2134]	Time 0.694 (0.639)	Data 0.002 (0.019)	Loss 5.3838 (5.5222)	Top-1 acc 8.203 (4.980)	Top-5 acc 19.922 (15.652)	lr 0.04592
Warmup Train [8][820/2134]	Time 0.748 (0.639)	Data 0.002 (0.019)	Loss 5.4670 (5.5218)	Top-1 acc 4.688 (4.986)	Top-5 acc 16.016 (15.669)	lr 0.04591
Warmup Train [8][830/2134]	Time 0.699 (0.639)	Data 0.002 (0.019)	Loss 5.5900 (5.5217)	Top-1 acc 6.250 (4.991)	Top-5 acc 17.578 (15.685)	lr 0.04591
Warmup Train [8][840/2134]	Time 1.375 (0.639)	Data 0.003 (0.018)	Loss 5.4821 (5.5215)	Top-1 acc 5.078 (4.987)	Top-5 acc 16.797 (15.698)	lr 0.04590
Warmup Train [8][850/2134]	Time 0.594 (0.639)	Data 0.002 (0.018)	Loss 5.6164 (5.5217)	Top-1 acc 4.297 (4.991)	Top-5 acc 15.234 (15.701)	lr 0.04590
Warmup Train [8][860/2134]	Time 0.611 (0.639)	Data 0.002 (0.018)	Loss 5.4074 (5.5217)	Top-1 acc 6.641 (4.987)	Top-5 acc 23.438 (15.705)	lr 0.04589
Warmup Train [8][870/2134]	Time 0.772 (0.638)	Data 0.003 (0.018)	Loss 5.4889 (5.5213)	Top-1 acc 6.250 (4.998)	Top-5 acc 14.453 (15.711)	lr 0.04589
Warmup Train [8][880/2134]	Time 0.799 (0.638)	Data 0.002 (0.018)	Loss 5.5123 (5.5212)	Top-1 acc 6.250 (5.004)	Top-5 acc 17.188 (15.710)	lr 0.04588
Warmup Train [8][890/2134]	Time 0.488 (0.637)	Data 0.002 (0.018)	Loss 5.5170 (5.5213)	Top-1 acc 5.469 (4.995)	Top-5 acc 16.016 (15.703)	lr 0.04588
Warmup Train [8][900/2134]	Time 0.533 (0.637)	Data 0.002 (0.018)	Loss 5.5925 (5.5217)	Top-1 acc 3.906 (4.994)	Top-5 acc 12.500 (15.697)	lr 0.04587
Warmup Train [8][910/2134]	Time 0.731 (0.637)	Data 0.002 (0.018)	Loss 5.4406 (5.5213)	Top-1 acc 5.078 (4.992)	Top-5 acc 14.453 (15.692)	lr 0.04587
Warmup Train [8][920/2134]	Time 0.842 (0.638)	Data 0.002 (0.017)	Loss 5.5882 (5.5213)	Top-1 acc 2.734 (4.993)	Top-5 acc 15.625 (15.685)	lr 0.04586
Warmup Train [8][930/2134]	Time 0.572 (0.637)	Data 0.002 (0.017)	Loss 5.5040 (5.5211)	Top-1 acc 6.250 (4.994)	Top-5 acc 15.234 (15.690)	lr 0.04586
Warmup Train [8][940/2134]	Time 0.742 (0.637)	Data 0.002 (0.017)	Loss 5.5105 (5.5208)	Top-1 acc 4.688 (4.991)	Top-5 acc 13.672 (15.697)	lr 0.04585
Warmup Train [8][950/2134]	Time 0.510 (0.636)	Data 0.002 (0.017)	Loss 5.4739 (5.5204)	Top-1 acc 5.469 (4.989)	Top-5 acc 16.406 (15.703)	lr 0.04585
Warmup Train [8][960/2134]	Time 0.473 (0.636)	Data 0.029 (0.017)	Loss 5.3776 (5.5203)	Top-1 acc 5.078 (4.996)	Top-5 acc 16.797 (15.710)	lr 0.04584
Warmup Train [8][970/2134]	Time 0.613 (0.636)	Data 0.002 (0.017)	Loss 5.5640 (5.5203)	Top-1 acc 5.078 (4.996)	Top-5 acc 17.578 (15.713)	lr 0.04584
Warmup Train [8][980/2134]	Time 0.614 (0.636)	Data 0.002 (0.017)	Loss 5.5158 (5.5200)	Top-1 acc 3.516 (4.994)	Top-5 acc 11.328 (15.721)	lr 0.04583
Warmup Train [8][990/2134]	Time 0.645 (0.635)	Data 0.002 (0.017)	Loss 5.5118 (5.5199)	Top-1 acc 5.859 (4.995)	Top-5 acc 16.016 (15.725)	lr 0.04583
Warmup Train [8][1000/2134]	Time 0.581 (0.636)	Data 0.002 (0.017)	Loss 5.4862 (5.5201)	Top-1 acc 5.078 (4.994)	Top-5 acc 15.625 (15.727)	lr 0.04582
Warmup Train [8][1010/2134]	Time 0.736 (0.635)	Data 0.002 (0.017)	Loss 5.4809 (5.5198)	Top-1 acc 5.469 (5.002)	Top-5 acc 15.234 (15.732)	lr 0.04582
Warmup Train [8][1020/2134]	Time 0.636 (0.635)	Data 0.002 (0.016)	Loss 5.5381 (5.5196)	Top-1 acc 6.250 (5.011)	Top-5 acc 17.578 (15.741)	lr 0.04581
Warmup Train [8][1030/2134]	Time 0.645 (0.635)	Data 0.034 (0.016)	Loss 5.5313 (5.5194)	Top-1 acc 4.688 (5.017)	Top-5 acc 14.844 (15.746)	lr 0.04581
Warmup Train [8][1040/2134]	Time 0.462 (0.635)	Data 0.002 (0.016)	Loss 5.4901 (5.5191)	Top-1 acc 5.469 (5.021)	Top-5 acc 14.062 (15.752)	lr 0.04580
Warmup Train [8][1050/2134]	Time 0.384 (0.634)	Data 0.002 (0.016)	Loss 5.5955 (5.5190)	Top-1 acc 3.516 (5.016)	Top-5 acc 14.453 (15.764)	lr 0.04580
Warmup Train [8][1060/2134]	Time 0.584 (0.634)	Data 0.002 (0.016)	Loss 5.5115 (5.5186)	Top-1 acc 5.469 (5.019)	Top-5 acc 14.844 (15.773)	lr 0.04579
Warmup Train [8][1070/2134]	Time 0.740 (0.634)	Data 0.002 (0.016)	Loss 5.4335 (5.5185)	Top-1 acc 5.859 (5.023)	Top-5 acc 14.844 (15.775)	lr 0.04579
Warmup Train [8][1080/2134]	Time 0.658 (0.635)	Data 0.002 (0.016)	Loss 5.4904 (5.5183)	Top-1 acc 6.250 (5.029)	Top-5 acc 18.750 (15.787)	lr 0.04578
Warmup Train [8][1090/2134]	Time 0.580 (0.635)	Data 0.002 (0.016)	Loss 5.4566 (5.5179)	Top-1 acc 6.641 (5.037)	Top-5 acc 19.531 (15.798)	lr 0.04578
Warmup Train [8][1100/2134]	Time 0.625 (0.634)	Data 0.002 (0.016)	Loss 5.6492 (5.5176)	Top-1 acc 6.250 (5.039)	Top-5 acc 15.625 (15.807)	lr 0.04577
Warmup Train [8][1110/2134]	Time 0.732 (0.634)	Data 0.002 (0.016)	Loss 5.4468 (5.5173)	Top-1 acc 4.297 (5.042)	Top-5 acc 16.406 (15.813)	lr 0.04576
Warmup Train [8][1120/2134]	Time 0.720 (0.634)	Data 0.002 (0.016)	Loss 5.4779 (5.5170)	Top-1 acc 6.641 (5.053)	Top-5 acc 16.406 (15.816)	lr 0.04576
Warmup Train [8][1130/2134]	Time 0.675 (0.634)	Data 0.002 (0.015)	Loss 5.5676 (5.5168)	Top-1 acc 4.688 (5.058)	Top-5 acc 15.234 (15.816)	lr 0.04575
Warmup Train [8][1140/2134]	Time 0.572 (0.634)	Data 0.002 (0.015)	Loss 5.3774 (5.5161)	Top-1 acc 7.422 (5.061)	Top-5 acc 20.703 (15.827)	lr 0.04575
Warmup Train [8][1150/2134]	Time 0.644 (0.634)	Data 0.002 (0.015)	Loss 5.5302 (5.5161)	Top-1 acc 3.125 (5.061)	Top-5 acc 16.797 (15.829)	lr 0.04574
Warmup Train [8][1160/2134]	Time 0.638 (0.634)	Data 0.002 (0.015)	Loss 5.5839 (5.5158)	Top-1 acc 5.078 (5.064)	Top-5 acc 14.062 (15.840)	lr 0.04574
Warmup Train [8][1170/2134]	Time 0.462 (0.634)	Data 0.002 (0.015)	Loss 5.5692 (5.5157)	Top-1 acc 4.688 (5.064)	Top-5 acc 12.891 (15.847)	lr 0.04573
Warmup Train [8][1180/2134]	Time 0.591 (0.633)	Data 0.002 (0.015)	Loss 5.4780 (5.5153)	Top-1 acc 7.812 (5.065)	Top-5 acc 18.750 (15.858)	lr 0.04573
Warmup Train [8][1190/2134]	Time 0.701 (0.633)	Data 0.002 (0.015)	Loss 5.4618 (5.5150)	Top-1 acc 4.688 (5.063)	Top-5 acc 14.844 (15.858)	lr 0.04572
Warmup Train [8][1200/2134]	Time 0.647 (0.633)	Data 0.002 (0.015)	Loss 5.5585 (5.5148)	Top-1 acc 4.688 (5.064)	Top-5 acc 16.016 (15.865)	lr 0.04572
Warmup Train [8][1210/2134]	Time 0.592 (0.633)	Data 0.002 (0.015)	Loss 5.5256 (5.5146)	Top-1 acc 4.688 (5.065)	Top-5 acc 11.719 (15.867)	lr 0.04571
Warmup Train [8][1220/2134]	Time 0.588 (0.633)	Data 0.002 (0.015)	Loss 5.4613 (5.5148)	Top-1 acc 6.641 (5.063)	Top-5 acc 17.969 (15.865)	lr 0.04571
Warmup Train [8][1230/2134]	Time 0.607 (0.634)	Data 0.002 (0.015)	Loss 5.4415 (5.5142)	Top-1 acc 6.641 (5.067)	Top-5 acc 18.750 (15.880)	lr 0.04570
Warmup Train [8][1240/2134]	Time 0.645 (0.633)	Data 0.002 (0.015)	Loss 5.5263 (5.5139)	Top-1 acc 4.688 (5.068)	Top-5 acc 14.844 (15.885)	lr 0.04570
Warmup Train [8][1250/2134]	Time 0.505 (0.633)	Data 0.003 (0.015)	Loss 5.6000 (5.5136)	Top-1 acc 5.078 (5.075)	Top-5 acc 13.281 (15.883)	lr 0.04569
Warmup Train [8][1260/2134]	Time 0.743 (0.633)	Data 0.002 (0.015)	Loss 5.3717 (5.5134)	Top-1 acc 6.250 (5.079)	Top-5 acc 19.922 (15.890)	lr 0.04569
Warmup Train [8][1270/2134]	Time 0.522 (0.633)	Data 0.002 (0.015)	Loss 5.4973 (5.5129)	Top-1 acc 4.688 (5.082)	Top-5 acc 13.281 (15.901)	lr 0.04568
Warmup Train [8][1280/2134]	Time 0.776 (0.633)	Data 0.002 (0.015)	Loss 5.4112 (5.5125)	Top-1 acc 5.469 (5.086)	Top-5 acc 17.969 (15.914)	lr 0.04568
Warmup Train [8][1290/2134]	Time 0.577 (0.633)	Data 0.003 (0.014)	Loss 5.4908 (5.5123)	Top-1 acc 5.078 (5.087)	Top-5 acc 16.797 (15.918)	lr 0.04567
Warmup Train [8][1300/2134]	Time 0.437 (0.633)	Data 0.002 (0.014)	Loss 5.5773 (5.5121)	Top-1 acc 7.031 (5.092)	Top-5 acc 20.703 (15.924)	lr 0.04567
Warmup Train [8][1310/2134]	Time 0.705 (0.633)	Data 0.002 (0.014)	Loss 5.5083 (5.5121)	Top-1 acc 4.688 (5.093)	Top-5 acc 16.016 (15.924)	lr 0.04566
Warmup Train [8][1320/2134]	Time 0.513 (0.633)	Data 0.002 (0.014)	Loss 5.4811 (5.5120)	Top-1 acc 5.078 (5.094)	Top-5 acc 20.703 (15.932)	lr 0.04566
Warmup Train [8][1330/2134]	Time 0.559 (0.633)	Data 0.002 (0.014)	Loss 5.5890 (5.5120)	Top-1 acc 4.297 (5.098)	Top-5 acc 12.891 (15.932)	lr 0.04565
Warmup Train [8][1340/2134]	Time 0.469 (0.632)	Data 0.002 (0.014)	Loss 5.5626 (5.5119)	Top-1 acc 7.422 (5.098)	Top-5 acc 12.500 (15.928)	lr 0.04565
Warmup Train [8][1350/2134]	Time 0.581 (0.632)	Data 0.002 (0.014)	Loss 5.4873 (5.5116)	Top-1 acc 7.812 (5.106)	Top-5 acc 18.750 (15.940)	lr 0.04564
Warmup Train [8][1360/2134]	Time 0.616 (0.632)	Data 0.002 (0.014)	Loss 5.4552 (5.5112)	Top-1 acc 5.859 (5.110)	Top-5 acc 16.406 (15.944)	lr 0.04564
Warmup Train [8][1370/2134]	Time 0.734 (0.632)	Data 0.002 (0.014)	Loss 5.4972 (5.5108)	Top-1 acc 4.297 (5.112)	Top-5 acc 16.797 (15.951)	lr 0.04563
Warmup Train [8][1380/2134]	Time 0.569 (0.632)	Data 0.002 (0.014)	Loss 5.5710 (5.5108)	Top-1 acc 3.516 (5.112)	Top-5 acc 16.016 (15.953)	lr 0.04563
Warmup Train [8][1390/2134]	Time 0.721 (0.632)	Data 0.002 (0.014)	Loss 5.4138 (5.5106)	Top-1 acc 5.469 (5.110)	Top-5 acc 14.062 (15.952)	lr 0.04562
Warmup Train [8][1400/2134]	Time 0.649 (0.632)	Data 0.002 (0.014)	Loss 5.3360 (5.5104)	Top-1 acc 7.422 (5.112)	Top-5 acc 20.312 (15.960)	lr 0.04562
Warmup Train [8][1410/2134]	Time 0.514 (0.632)	Data 0.002 (0.014)	Loss 5.4554 (5.5100)	Top-1 acc 6.250 (5.121)	Top-5 acc 16.016 (15.972)	lr 0.04561
Warmup Train [8][1420/2134]	Time 0.649 (0.632)	Data 0.002 (0.014)	Loss 5.4759 (5.5100)	Top-1 acc 4.688 (5.115)	Top-5 acc 15.625 (15.975)	lr 0.04560
Warmup Train [8][1430/2134]	Time 0.573 (0.631)	Data 0.002 (0.014)	Loss 5.4007 (5.5094)	Top-1 acc 6.641 (5.120)	Top-5 acc 16.406 (15.993)	lr 0.04560
Warmup Train [8][1440/2134]	Time 0.551 (0.631)	Data 0.004 (0.014)	Loss 5.4920 (5.5092)	Top-1 acc 5.078 (5.125)	Top-5 acc 18.359 (16.006)	lr 0.04559
Warmup Train [8][1450/2134]	Time 0.655 (0.631)	Data 0.002 (0.014)	Loss 5.4254 (5.5090)	Top-1 acc 8.203 (5.132)	Top-5 acc 19.141 (16.008)	lr 0.04559
Warmup Train [8][1460/2134]	Time 0.643 (0.632)	Data 0.002 (0.014)	Loss 5.3954 (5.5086)	Top-1 acc 8.203 (5.136)	Top-5 acc 23.828 (16.028)	lr 0.04558
Warmup Train [8][1470/2134]	Time 0.638 (0.631)	Data 0.002 (0.014)	Loss 5.5018 (5.5084)	Top-1 acc 4.297 (5.140)	Top-5 acc 14.453 (16.035)	lr 0.04558
Warmup Train [8][1480/2134]	Time 0.441 (0.631)	Data 0.002 (0.014)	Loss 5.4963 (5.5081)	Top-1 acc 5.078 (5.142)	Top-5 acc 14.844 (16.038)	lr 0.04557
Warmup Train [8][1490/2134]	Time 0.553 (0.631)	Data 0.002 (0.014)	Loss 5.3773 (5.5078)	Top-1 acc 5.469 (5.144)	Top-5 acc 16.406 (16.041)	lr 0.04557
Warmup Train [8][1500/2134]	Time 0.611 (0.631)	Data 0.002 (0.014)	Loss 5.5840 (5.5076)	Top-1 acc 3.125 (5.143)	Top-5 acc 13.281 (16.046)	lr 0.04556
Warmup Train [8][1510/2134]	Time 0.548 (0.631)	Data 0.002 (0.014)	Loss 5.5111 (5.5074)	Top-1 acc 7.812 (5.145)	Top-5 acc 17.578 (16.049)	lr 0.04556
Warmup Train [8][1520/2134]	Time 0.602 (0.631)	Data 0.002 (0.014)	Loss 5.4454 (5.5069)	Top-1 acc 5.078 (5.146)	Top-5 acc 16.797 (16.059)	lr 0.04555
Warmup Train [8][1530/2134]	Time 0.638 (0.631)	Data 0.004 (0.014)	Loss 5.5142 (5.5066)	Top-1 acc 4.688 (5.148)	Top-5 acc 15.234 (16.060)	lr 0.04555
Warmup Train [8][1540/2134]	Time 0.562 (0.631)	Data 0.002 (0.013)	Loss 5.4168 (5.5062)	Top-1 acc 4.297 (5.148)	Top-5 acc 14.844 (16.073)	lr 0.04554
Warmup Train [8][1550/2134]	Time 0.587 (0.631)	Data 0.002 (0.013)	Loss 5.5607 (5.5058)	Top-1 acc 6.250 (5.154)	Top-5 acc 17.578 (16.090)	lr 0.04554
Warmup Train [8][1560/2134]	Time 0.616 (0.631)	Data 0.031 (0.013)	Loss 5.3669 (5.5055)	Top-1 acc 3.906 (5.156)	Top-5 acc 16.797 (16.094)	lr 0.04553
Warmup Train [8][1570/2134]	Time 0.584 (0.631)	Data 0.002 (0.013)	Loss 5.6051 (5.5055)	Top-1 acc 5.469 (5.162)	Top-5 acc 14.453 (16.100)	lr 0.04553
Warmup Train [8][1580/2134]	Time 0.624 (0.631)	Data 0.002 (0.013)	Loss 5.5199 (5.5052)	Top-1 acc 7.422 (5.169)	Top-5 acc 16.406 (16.108)	lr 0.04552
Warmup Train [8][1590/2134]	Time 0.653 (0.631)	Data 0.003 (0.013)	Loss 5.4284 (5.5047)	Top-1 acc 5.078 (5.173)	Top-5 acc 18.359 (16.118)	lr 0.04552
Warmup Train [8][1600/2134]	Time 0.409 (0.630)	Data 0.002 (0.013)	Loss 5.4491 (5.5044)	Top-1 acc 4.297 (5.175)	Top-5 acc 18.750 (16.126)	lr 0.04551
Warmup Train [8][1610/2134]	Time 0.659 (0.631)	Data 0.002 (0.013)	Loss 5.2880 (5.5044)	Top-1 acc 10.547 (5.178)	Top-5 acc 21.875 (16.131)	lr 0.04551
Warmup Train [8][1620/2134]	Time 0.623 (0.631)	Data 0.004 (0.013)	Loss 5.4086 (5.5043)	Top-1 acc 7.031 (5.178)	Top-5 acc 18.359 (16.131)	lr 0.04550
Warmup Train [8][1630/2134]	Time 0.616 (0.631)	Data 0.002 (0.013)	Loss 5.4629 (5.5041)	Top-1 acc 5.078 (5.181)	Top-5 acc 19.531 (16.140)	lr 0.04549
Warmup Train [8][1640/2134]	Time 0.744 (0.631)	Data 0.002 (0.013)	Loss 5.4931 (5.5038)	Top-1 acc 5.859 (5.187)	Top-5 acc 16.797 (16.148)	lr 0.04549
Warmup Train [8][1650/2134]	Time 0.656 (0.630)	Data 0.002 (0.013)	Loss 5.5584 (5.5034)	Top-1 acc 5.078 (5.189)	Top-5 acc 14.453 (16.153)	lr 0.04548
Warmup Train [8][1660/2134]	Time 0.806 (0.630)	Data 0.002 (0.013)	Loss 5.4555 (5.5033)	Top-1 acc 4.688 (5.189)	Top-5 acc 16.016 (16.153)	lr 0.04548
Warmup Train [8][1670/2134]	Time 0.606 (0.630)	Data 0.002 (0.013)	Loss 5.3889 (5.5030)	Top-1 acc 6.641 (5.195)	Top-5 acc 18.750 (16.165)	lr 0.04547
Warmup Train [8][1680/2134]	Time 0.575 (0.630)	Data 0.003 (0.013)	Loss 5.4518 (5.5028)	Top-1 acc 5.469 (5.197)	Top-5 acc 18.359 (16.168)	lr 0.04547
Warmup Train [8][1690/2134]	Time 0.609 (0.631)	Data 0.002 (0.013)	Loss 5.3987 (5.5023)	Top-1 acc 7.422 (5.202)	Top-5 acc 16.016 (16.177)	lr 0.04546
Warmup Train [8][1700/2134]	Time 0.538 (0.631)	Data 0.003 (0.013)	Loss 5.3735 (5.5019)	Top-1 acc 5.469 (5.205)	Top-5 acc 18.750 (16.182)	lr 0.04546
Warmup Train [8][1710/2134]	Time 0.788 (0.630)	Data 0.002 (0.013)	Loss 5.4017 (5.5015)	Top-1 acc 7.031 (5.205)	Top-5 acc 18.750 (16.190)	lr 0.04545
Warmup Train [8][1720/2134]	Time 0.408 (0.630)	Data 0.002 (0.013)	Loss 5.4769 (5.5014)	Top-1 acc 6.641 (5.204)	Top-5 acc 16.016 (16.191)	lr 0.04545
Warmup Train [8][1730/2134]	Time 0.726 (0.630)	Data 0.002 (0.013)	Loss 5.4523 (5.5010)	Top-1 acc 5.859 (5.208)	Top-5 acc 19.922 (16.203)	lr 0.04544
Warmup Train [8][1740/2134]	Time 0.614 (0.630)	Data 0.002 (0.013)	Loss 5.4227 (5.5007)	Top-1 acc 6.641 (5.210)	Top-5 acc 19.531 (16.211)	lr 0.04544
Warmup Train [8][1750/2134]	Time 0.625 (0.630)	Data 0.002 (0.013)	Loss 5.5318 (5.5005)	Top-1 acc 4.688 (5.213)	Top-5 acc 14.844 (16.217)	lr 0.04543
Warmup Train [8][1760/2134]	Time 0.590 (0.630)	Data 0.002 (0.013)	Loss 5.4808 (5.5002)	Top-1 acc 5.078 (5.217)	Top-5 acc 16.016 (16.220)	lr 0.04543
Warmup Train [8][1770/2134]	Time 1.560 (0.630)	Data 0.002 (0.013)	Loss 5.3682 (5.4999)	Top-1 acc 5.469 (5.219)	Top-5 acc 17.188 (16.227)	lr 0.04542
Warmup Train [8][1780/2134]	Time 0.738 (0.630)	Data 0.002 (0.013)	Loss 5.4535 (5.4999)	Top-1 acc 3.906 (5.220)	Top-5 acc 16.016 (16.227)	lr 0.04542
Warmup Train [8][1790/2134]	Time 0.490 (0.630)	Data 0.004 (0.013)	Loss 5.4316 (5.4996)	Top-1 acc 4.297 (5.221)	Top-5 acc 17.188 (16.235)	lr 0.04541
Warmup Train [8][1800/2134]	Time 0.675 (0.630)	Data 0.002 (0.012)	Loss 5.4290 (5.4992)	Top-1 acc 7.422 (5.229)	Top-5 acc 19.531 (16.249)	lr 0.04540
Warmup Train [8][1810/2134]	Time 0.586 (0.630)	Data 0.002 (0.012)	Loss 5.3299 (5.4990)	Top-1 acc 5.859 (5.228)	Top-5 acc 19.922 (16.255)	lr 0.04540
Warmup Train [8][1820/2134]	Time 0.473 (0.629)	Data 0.004 (0.012)	Loss 5.5509 (5.4988)	Top-1 acc 4.688 (5.232)	Top-5 acc 15.625 (16.261)	lr 0.04539
Warmup Train [8][1830/2134]	Time 0.499 (0.629)	Data 0.002 (0.012)	Loss 5.4325 (5.4986)	Top-1 acc 6.250 (5.235)	Top-5 acc 13.672 (16.263)	lr 0.04539
Warmup Train [8][1840/2134]	Time 0.750 (0.629)	Data 0.002 (0.012)	Loss 5.5829 (5.4984)	Top-1 acc 3.516 (5.237)	Top-5 acc 14.062 (16.266)	lr 0.04538
Warmup Train [8][1850/2134]	Time 0.648 (0.629)	Data 0.002 (0.012)	Loss 5.3102 (5.4980)	Top-1 acc 7.031 (5.243)	Top-5 acc 22.266 (16.281)	lr 0.04538
Warmup Train [8][1860/2134]	Time 0.707 (0.629)	Data 0.003 (0.012)	Loss 5.4419 (5.4977)	Top-1 acc 4.297 (5.247)	Top-5 acc 15.625 (16.286)	lr 0.04537
Warmup Train [8][1870/2134]	Time 0.537 (0.629)	Data 0.002 (0.012)	Loss 5.3605 (5.4974)	Top-1 acc 8.203 (5.253)	Top-5 acc 20.312 (16.293)	lr 0.04537
Warmup Train [8][1880/2134]	Time 0.703 (0.629)	Data 0.002 (0.012)	Loss 5.4212 (5.4972)	Top-1 acc 5.078 (5.251)	Top-5 acc 17.969 (16.297)	lr 0.04536
Warmup Train [8][1890/2134]	Time 0.726 (0.629)	Data 0.002 (0.012)	Loss 5.4064 (5.4971)	Top-1 acc 5.859 (5.250)	Top-5 acc 19.922 (16.298)	lr 0.04536
Warmup Train [8][1900/2134]	Time 0.623 (0.629)	Data 0.002 (0.012)	Loss 5.3288 (5.4967)	Top-1 acc 8.203 (5.251)	Top-5 acc 19.531 (16.305)	lr 0.04535
Warmup Train [8][1910/2134]	Time 0.632 (0.629)	Data 0.002 (0.012)	Loss 5.5003 (5.4964)	Top-1 acc 5.469 (5.251)	Top-5 acc 16.016 (16.313)	lr 0.04535
Warmup Train [8][1920/2134]	Time 0.673 (0.629)	Data 0.002 (0.012)	Loss 5.4412 (5.4961)	Top-1 acc 5.078 (5.257)	Top-5 acc 22.656 (16.323)	lr 0.04534
Warmup Train [8][1930/2134]	Time 0.593 (0.629)	Data 0.002 (0.012)	Loss 5.4223 (5.4960)	Top-1 acc 6.641 (5.258)	Top-5 acc 21.875 (16.328)	lr 0.04534
Warmup Train [8][1940/2134]	Time 0.734 (0.629)	Data 0.004 (0.012)	Loss 5.4082 (5.4955)	Top-1 acc 4.297 (5.265)	Top-5 acc 15.234 (16.339)	lr 0.04533
Warmup Train [8][1950/2134]	Time 0.640 (0.629)	Data 0.002 (0.012)	Loss 5.4915 (5.4953)	Top-1 acc 4.688 (5.268)	Top-5 acc 17.578 (16.349)	lr 0.04532
Warmup Train [8][1960/2134]	Time 0.614 (0.629)	Data 0.002 (0.012)	Loss 5.4483 (5.4949)	Top-1 acc 7.422 (5.274)	Top-5 acc 18.750 (16.355)	lr 0.04532
Warmup Train [8][1970/2134]	Time 0.613 (0.629)	Data 0.003 (0.012)	Loss 5.4246 (5.4944)	Top-1 acc 7.812 (5.281)	Top-5 acc 19.141 (16.366)	lr 0.04531
Warmup Train [8][1980/2134]	Time 0.571 (0.629)	Data 0.002 (0.012)	Loss 5.3263 (5.4942)	Top-1 acc 8.984 (5.285)	Top-5 acc 25.000 (16.374)	lr 0.04531
Warmup Train [8][1990/2134]	Time 0.455 (0.629)	Data 0.002 (0.012)	Loss 5.4938 (5.4940)	Top-1 acc 4.688 (5.286)	Top-5 acc 16.016 (16.384)	lr 0.04530
Warmup Train [8][2000/2134]	Time 0.637 (0.629)	Data 0.002 (0.012)	Loss 5.3156 (5.4937)	Top-1 acc 5.859 (5.287)	Top-5 acc 22.266 (16.388)	lr 0.04530
Warmup Train [8][2010/2134]	Time 1.412 (0.629)	Data 0.002 (0.012)	Loss 5.3899 (5.4935)	Top-1 acc 5.859 (5.288)	Top-5 acc 18.359 (16.394)	lr 0.04529
Warmup Train [8][2020/2134]	Time 0.675 (0.629)	Data 0.002 (0.012)	Loss 5.4718 (5.4930)	Top-1 acc 3.516 (5.291)	Top-5 acc 13.672 (16.403)	lr 0.04529
Warmup Train [8][2030/2134]	Time 0.639 (0.629)	Data 0.002 (0.012)	Loss 5.4039 (5.4927)	Top-1 acc 6.641 (5.295)	Top-5 acc 18.359 (16.409)	lr 0.04528
Warmup Train [8][2040/2134]	Time 0.583 (0.629)	Data 0.002 (0.012)	Loss 5.4642 (5.4924)	Top-1 acc 4.297 (5.300)	Top-5 acc 18.750 (16.415)	lr 0.04528
Warmup Train [8][2050/2134]	Time 0.501 (0.629)	Data 0.002 (0.012)	Loss 5.3513 (5.4921)	Top-1 acc 8.594 (5.306)	Top-5 acc 23.047 (16.426)	lr 0.04527
Warmup Train [8][2060/2134]	Time 0.599 (0.629)	Data 0.002 (0.012)	Loss 5.4898 (5.4918)	Top-1 acc 6.641 (5.307)	Top-5 acc 17.188 (16.432)	lr 0.04527
Warmup Train [8][2070/2134]	Time 0.506 (0.628)	Data 0.002 (0.012)	Loss 5.5430 (5.4916)	Top-1 acc 5.469 (5.314)	Top-5 acc 16.797 (16.442)	lr 0.04526
Warmup Train [8][2080/2134]	Time 0.418 (0.628)	Data 0.000 (0.012)	Loss 5.4392 (5.4914)	Top-1 acc 5.078 (5.315)	Top-5 acc 17.969 (16.449)	lr 0.04526
Warmup Train [8][2090/2134]	Time 0.489 (0.628)	Data 0.000 (0.012)	Loss 5.4325 (5.4910)	Top-1 acc 4.688 (5.318)	Top-5 acc 15.625 (16.456)	lr 0.04525
Warmup Train [8][2100/2134]	Time 0.683 (0.628)	Data 0.000 (0.012)	Loss 5.5557 (5.4908)	Top-1 acc 6.250 (5.320)	Top-5 acc 15.625 (16.459)	lr 0.04524
Warmup Train [8][2110/2134]	Time 0.682 (0.628)	Data 0.000 (0.012)	Loss 5.4628 (5.4905)	Top-1 acc 7.812 (5.323)	Top-5 acc 19.141 (16.467)	lr 0.04524
Warmup Train [8][2120/2134]	Time 0.714 (0.628)	Data 0.000 (0.012)	Loss 5.5968 (5.4902)	Top-1 acc 5.859 (5.328)	Top-5 acc 14.844 (16.475)	lr 0.04523
Warmup Train [8][2130/2134]	Time 0.665 (0.628)	Data 0.000 (0.012)	Loss 5.5021 (5.4900)	Top-1 acc 6.250 (5.333)	Top-5 acc 14.453 (16.479)	lr 0.04523
Warmup Train [8][2134/2134]	Time 0.522 (0.628)	Data 0.000 (0.011)	Loss 5.4589 (5.4899)	Top-1 acc 5.882 (5.335)	Top-5 acc 17.647 (16.484)	lr 0.04523
==========Warmup Valid [8/40]	loss 4.858	top-1 acc 7.788	top-5 acc 22.689	Train top-1 5.335	top-5 16.484	flops: 442.4M
Warmup Train [9][0/2134]	Time 11.207 (11.207)	Data 8.861 (8.861)	Loss 5.2644 (5.2644)	Top-1 acc 8.203 (8.203)	Top-5 acc 24.219 (24.219)	lr 0.04523
Warmup Train [9][10/2134]	Time 0.712 (1.705)	Data 0.002 (0.808)	Loss 5.4073 (5.4009)	Top-1 acc 6.250 (6.143)	Top-5 acc 20.703 (19.105)	lr 0.04522
Warmup Train [9][20/2134]	Time 0.762 (1.236)	Data 0.002 (0.426)	Loss 5.3864 (5.4151)	Top-1 acc 6.250 (5.990)	Top-5 acc 20.312 (18.824)	lr 0.04521
Warmup Train [9][30/2134]	Time 0.702 (1.040)	Data 0.002 (0.289)	Loss 5.4761 (5.4209)	Top-1 acc 4.688 (5.922)	Top-5 acc 14.844 (18.700)	lr 0.04521
Warmup Train [9][40/2134]	Time 0.631 (0.937)	Data 0.002 (0.220)	Loss 5.3773 (5.4260)	Top-1 acc 7.812 (5.764)	Top-5 acc 23.047 (18.455)	lr 0.04520
Warmup Train [9][50/2134]	Time 0.691 (0.876)	Data 0.002 (0.177)	Loss 5.4237 (5.4253)	Top-1 acc 6.641 (5.737)	Top-5 acc 16.797 (18.451)	lr 0.04520
Warmup Train [9][60/2134]	Time 0.570 (0.833)	Data 0.002 (0.149)	Loss 5.4821 (5.4277)	Top-1 acc 5.469 (5.859)	Top-5 acc 16.406 (18.430)	lr 0.04519
Warmup Train [9][70/2134]	Time 0.670 (0.801)	Data 0.002 (0.129)	Loss 5.3780 (5.4302)	Top-1 acc 2.734 (5.898)	Top-5 acc 19.922 (18.326)	lr 0.04519
Warmup Train [9][80/2134]	Time 0.683 (0.776)	Data 0.002 (0.113)	Loss 5.4848 (5.4340)	Top-1 acc 5.859 (5.874)	Top-5 acc 17.969 (18.229)	lr 0.04518
Warmup Train [9][90/2134]	Time 0.733 (0.759)	Data 0.002 (0.102)	Loss 5.3485 (5.4295)	Top-1 acc 7.422 (5.911)	Top-5 acc 19.922 (18.252)	lr 0.04518
Warmup Train [9][100/2134]	Time 0.650 (0.755)	Data 0.002 (0.092)	Loss 5.3428 (5.4281)	Top-1 acc 7.031 (5.941)	Top-5 acc 21.484 (18.263)	lr 0.04517
Warmup Train [9][110/2134]	Time 0.733 (0.741)	Data 0.003 (0.084)	Loss 5.5169 (5.4278)	Top-1 acc 3.516 (5.997)	Top-5 acc 15.625 (18.289)	lr 0.04517
Warmup Train [9][120/2134]	Time 0.692 (0.730)	Data 0.002 (0.078)	Loss 5.4725 (5.4283)	Top-1 acc 4.297 (5.979)	Top-5 acc 16.016 (18.298)	lr 0.04516
Warmup Train [9][130/2134]	Time 0.593 (0.721)	Data 0.003 (0.072)	Loss 5.4932 (5.4271)	Top-1 acc 2.734 (5.952)	Top-5 acc 16.797 (18.228)	lr 0.04515
Warmup Train [9][140/2134]	Time 0.749 (0.713)	Data 0.003 (0.068)	Loss 5.3285 (5.4259)	Top-1 acc 5.078 (5.909)	Top-5 acc 19.922 (18.235)	lr 0.04515
Warmup Train [9][150/2134]	Time 0.575 (0.707)	Data 0.002 (0.064)	Loss 5.3189 (5.4253)	Top-1 acc 8.594 (5.867)	Top-5 acc 21.484 (18.240)	lr 0.04514
Warmup Train [9][160/2134]	Time 0.687 (0.702)	Data 0.002 (0.061)	Loss 5.3416 (5.4253)	Top-1 acc 8.203 (5.910)	Top-5 acc 21.094 (18.265)	lr 0.04514
Warmup Train [9][170/2134]	Time 0.513 (0.695)	Data 0.002 (0.057)	Loss 5.5359 (5.4258)	Top-1 acc 3.125 (5.889)	Top-5 acc 14.453 (18.195)	lr 0.04513
Warmup Train [9][180/2134]	Time 0.541 (0.695)	Data 0.002 (0.055)	Loss 5.4207 (5.4261)	Top-1 acc 5.469 (5.870)	Top-5 acc 19.922 (18.159)	lr 0.04513
Warmup Train [9][190/2134]	Time 0.609 (0.691)	Data 0.002 (0.053)	Loss 5.4094 (5.4239)	Top-1 acc 7.031 (5.906)	Top-5 acc 17.188 (18.226)	lr 0.04512
Warmup Train [9][200/2134]	Time 0.610 (0.686)	Data 0.002 (0.050)	Loss 5.4165 (5.4226)	Top-1 acc 5.469 (5.925)	Top-5 acc 20.312 (18.264)	lr 0.04512
Warmup Train [9][210/2134]	Time 0.752 (0.683)	Data 0.003 (0.048)	Loss 5.4580 (5.4251)	Top-1 acc 6.250 (5.933)	Top-5 acc 15.625 (18.233)	lr 0.04511
Warmup Train [9][220/2134]	Time 0.566 (0.680)	Data 0.003 (0.046)	Loss 5.4030 (5.4269)	Top-1 acc 5.469 (5.902)	Top-5 acc 19.922 (18.211)	lr 0.04511
Warmup Train [9][230/2134]	Time 0.611 (0.677)	Data 0.002 (0.044)	Loss 5.4061 (5.4284)	Top-1 acc 5.469 (5.870)	Top-5 acc 18.359 (18.151)	lr 0.04510
Warmup Train [9][240/2134]	Time 0.442 (0.673)	Data 0.002 (0.043)	Loss 5.3732 (5.4279)	Top-1 acc 6.250 (5.851)	Top-5 acc 17.578 (18.105)	lr 0.04509
Warmup Train [9][250/2134]	Time 0.692 (0.671)	Data 0.002 (0.041)	Loss 5.4897 (5.4285)	Top-1 acc 5.859 (5.880)	Top-5 acc 15.625 (18.093)	lr 0.04509
Warmup Train [9][260/2134]	Time 0.683 (0.672)	Data 0.002 (0.040)	Loss 5.2585 (5.4278)	Top-1 acc 5.469 (5.889)	Top-5 acc 18.750 (18.078)	lr 0.04508
Warmup Train [9][270/2134]	Time 0.587 (0.670)	Data 0.003 (0.039)	Loss 5.4883 (5.4288)	Top-1 acc 5.469 (5.881)	Top-5 acc 15.625 (18.041)	lr 0.04508
Warmup Train [9][280/2134]	Time 0.523 (0.668)	Data 0.002 (0.038)	Loss 5.3715 (5.4288)	Top-1 acc 4.688 (5.868)	Top-5 acc 16.797 (18.030)	lr 0.04507
Warmup Train [9][290/2134]	Time 0.531 (0.666)	Data 0.002 (0.037)	Loss 5.4309 (5.4302)	Top-1 acc 7.422 (5.858)	Top-5 acc 15.625 (18.009)	lr 0.04507
Warmup Train [9][300/2134]	Time 0.518 (0.664)	Data 0.003 (0.036)	Loss 5.4221 (5.4295)	Top-1 acc 5.859 (5.879)	Top-5 acc 18.750 (18.041)	lr 0.04506
Warmup Train [9][310/2134]	Time 0.534 (0.662)	Data 0.002 (0.035)	Loss 5.4480 (5.4284)	Top-1 acc 7.031 (5.879)	Top-5 acc 18.359 (18.054)	lr 0.04506
Warmup Train [9][320/2134]	Time 0.650 (0.661)	Data 0.004 (0.034)	Loss 5.3430 (5.4277)	Top-1 acc 7.812 (5.903)	Top-5 acc 22.656 (18.081)	lr 0.04505
Warmup Train [9][330/2134]	Time 0.434 (0.659)	Data 0.003 (0.034)	Loss 5.4147 (5.4265)	Top-1 acc 5.859 (5.899)	Top-5 acc 14.453 (18.103)	lr 0.04505
Warmup Train [9][340/2134]	Time 0.671 (0.661)	Data 0.002 (0.033)	Loss 5.3949 (5.4269)	Top-1 acc 5.859 (5.901)	Top-5 acc 17.188 (18.082)	lr 0.04504
Warmup Train [9][350/2134]	Time 0.514 (0.659)	Data 0.002 (0.032)	Loss 5.3855 (5.4253)	Top-1 acc 6.641 (5.904)	Top-5 acc 19.922 (18.143)	lr 0.04503
Warmup Train [9][360/2134]	Time 0.368 (0.657)	Data 0.003 (0.032)	Loss 5.3530 (5.4244)	Top-1 acc 7.031 (5.919)	Top-5 acc 18.359 (18.158)	lr 0.04503
Warmup Train [9][370/2134]	Time 0.582 (0.656)	Data 0.003 (0.031)	Loss 5.3923 (5.4235)	Top-1 acc 3.516 (5.928)	Top-5 acc 14.453 (18.164)	lr 0.04502
Warmup Train [9][380/2134]	Time 0.638 (0.655)	Data 0.002 (0.031)	Loss 5.3804 (5.4215)	Top-1 acc 3.516 (5.939)	Top-5 acc 18.359 (18.171)	lr 0.04502
Warmup Train [9][390/2134]	Time 0.598 (0.653)	Data 0.002 (0.030)	Loss 5.3389 (5.4208)	Top-1 acc 5.859 (5.944)	Top-5 acc 20.312 (18.181)	lr 0.04501
Warmup Train [9][400/2134]	Time 0.515 (0.652)	Data 0.003 (0.029)	Loss 5.4269 (5.4204)	Top-1 acc 6.641 (5.967)	Top-5 acc 17.188 (18.207)	lr 0.04501
Warmup Train [9][410/2134]	Time 0.530 (0.652)	Data 0.002 (0.029)	Loss 5.3361 (5.4199)	Top-1 acc 7.422 (5.979)	Top-5 acc 20.703 (18.222)	lr 0.04500
Warmup Train [9][420/2134]	Time 1.624 (0.653)	Data 0.002 (0.029)	Loss 5.5237 (5.4197)	Top-1 acc 5.469 (5.980)	Top-5 acc 19.922 (18.245)	lr 0.04500
Warmup Train [9][430/2134]	Time 0.497 (0.652)	Data 0.002 (0.028)	Loss 5.2414 (5.4188)	Top-1 acc 6.250 (5.996)	Top-5 acc 23.047 (18.263)	lr 0.04499
Warmup Train [9][440/2134]	Time 0.656 (0.651)	Data 0.002 (0.028)	Loss 5.5421 (5.4191)	Top-1 acc 5.859 (5.984)	Top-5 acc 14.844 (18.255)	lr 0.04498
Warmup Train [9][450/2134]	Time 0.526 (0.650)	Data 0.002 (0.027)	Loss 5.3341 (5.4181)	Top-1 acc 5.859 (5.988)	Top-5 acc 19.141 (18.273)	lr 0.04498
Warmup Train [9][460/2134]	Time 0.666 (0.650)	Data 0.002 (0.027)	Loss 5.3765 (5.4179)	Top-1 acc 7.422 (5.997)	Top-5 acc 20.312 (18.276)	lr 0.04497
Warmup Train [9][470/2134]	Time 0.670 (0.649)	Data 0.002 (0.027)	Loss 5.3482 (5.4186)	Top-1 acc 7.031 (5.978)	Top-5 acc 15.625 (18.242)	lr 0.04497
Warmup Train [9][480/2134]	Time 0.656 (0.649)	Data 0.004 (0.026)	Loss 5.2930 (5.4183)	Top-1 acc 7.422 (5.978)	Top-5 acc 21.484 (18.234)	lr 0.04496
Warmup Train [9][490/2134]	Time 0.592 (0.648)	Data 0.002 (0.026)	Loss 5.3795 (5.4194)	Top-1 acc 6.641 (5.957)	Top-5 acc 23.047 (18.206)	lr 0.04496
Warmup Train [9][500/2134]	Time 0.614 (0.648)	Data 0.002 (0.026)	Loss 5.2568 (5.4184)	Top-1 acc 5.859 (5.975)	Top-5 acc 18.750 (18.219)	lr 0.04495
Warmup Train [9][510/2134]	Time 0.500 (0.648)	Data 0.002 (0.025)	Loss 5.3046 (5.4179)	Top-1 acc 8.203 (5.986)	Top-5 acc 19.922 (18.228)	lr 0.04495
Warmup Train [9][520/2134]	Time 0.529 (0.648)	Data 0.002 (0.025)	Loss 5.4732 (5.4181)	Top-1 acc 3.516 (5.968)	Top-5 acc 18.359 (18.215)	lr 0.04494
Warmup Train [9][530/2134]	Time 0.653 (0.648)	Data 0.004 (0.025)	Loss 5.3420 (5.4172)	Top-1 acc 6.250 (5.988)	Top-5 acc 17.969 (18.239)	lr 0.04494
Warmup Train [9][540/2134]	Time 0.515 (0.647)	Data 0.002 (0.025)	Loss 5.3961 (5.4165)	Top-1 acc 6.250 (5.996)	Top-5 acc 17.969 (18.240)	lr 0.04493
Warmup Train [9][550/2134]	Time 0.594 (0.646)	Data 0.002 (0.024)	Loss 5.4504 (5.4163)	Top-1 acc 6.641 (6.004)	Top-5 acc 14.453 (18.232)	lr 0.04492
Warmup Train [9][560/2134]	Time 0.567 (0.646)	Data 0.003 (0.024)	Loss 5.3615 (5.4165)	Top-1 acc 5.859 (5.987)	Top-5 acc 18.359 (18.219)	lr 0.04492
Warmup Train [9][570/2134]	Time 0.471 (0.645)	Data 0.002 (0.024)	Loss 5.3273 (5.4154)	Top-1 acc 7.812 (6.000)	Top-5 acc 18.750 (18.236)	lr 0.04491
Warmup Train [9][580/2134]	Time 0.672 (0.645)	Data 0.003 (0.024)	Loss 5.4619 (5.4156)	Top-1 acc 4.297 (5.998)	Top-5 acc 16.016 (18.224)	lr 0.04491
Warmup Train [9][590/2134]	Time 0.490 (0.645)	Data 0.002 (0.023)	Loss 5.2782 (5.4152)	Top-1 acc 7.422 (6.012)	Top-5 acc 20.703 (18.238)	lr 0.04490
Warmup Train [9][600/2134]	Time 0.698 (0.644)	Data 0.003 (0.023)	Loss 5.5565 (5.4153)	Top-1 acc 4.297 (6.008)	Top-5 acc 13.672 (18.232)	lr 0.04490
Warmup Train [9][610/2134]	Time 0.729 (0.644)	Data 0.002 (0.023)	Loss 5.4177 (5.4149)	Top-1 acc 6.250 (6.002)	Top-5 acc 19.141 (18.225)	lr 0.04489
Warmup Train [9][620/2134]	Time 0.725 (0.643)	Data 0.002 (0.023)	Loss 5.4210 (5.4152)	Top-1 acc 6.250 (5.990)	Top-5 acc 19.922 (18.227)	lr 0.04489
Warmup Train [9][630/2134]	Time 0.653 (0.643)	Data 0.005 (0.022)	Loss 5.3990 (5.4147)	Top-1 acc 8.203 (6.001)	Top-5 acc 19.922 (18.241)	lr 0.04488
Warmup Train [9][640/2134]	Time 0.590 (0.642)	Data 0.002 (0.022)	Loss 5.4156 (5.4148)	Top-1 acc 5.859 (5.990)	Top-5 acc 17.188 (18.233)	lr 0.04487
Warmup Train [9][650/2134]	Time 0.519 (0.642)	Data 0.002 (0.022)	Loss 5.5384 (5.4145)	Top-1 acc 5.078 (5.985)	Top-5 acc 16.797 (18.250)	lr 0.04487
Warmup Train [9][660/2134]	Time 0.675 (0.642)	Data 0.002 (0.022)	Loss 5.4470 (5.4147)	Top-1 acc 5.469 (5.982)	Top-5 acc 18.750 (18.254)	lr 0.04486
Warmup Train [9][670/2134]	Time 0.604 (0.641)	Data 0.002 (0.021)	Loss 5.3030 (5.4143)	Top-1 acc 6.250 (5.987)	Top-5 acc 17.969 (18.248)	lr 0.04486
Warmup Train [9][680/2134]	Time 0.470 (0.641)	Data 0.002 (0.021)	Loss 5.3430 (5.4146)	Top-1 acc 5.859 (5.978)	Top-5 acc 18.359 (18.241)	lr 0.04485
Warmup Train [9][690/2134]	Time 0.584 (0.641)	Data 0.002 (0.021)	Loss 5.4432 (5.4141)	Top-1 acc 4.688 (5.979)	Top-5 acc 15.234 (18.241)	lr 0.04485
Warmup Train [9][700/2134]	Time 0.561 (0.641)	Data 0.002 (0.021)	Loss 5.3131 (5.4137)	Top-1 acc 5.469 (5.988)	Top-5 acc 20.703 (18.252)	lr 0.04484
Warmup Train [9][710/2134]	Time 0.730 (0.640)	Data 0.002 (0.020)	Loss 5.4439 (5.4138)	Top-1 acc 4.297 (5.987)	Top-5 acc 15.234 (18.259)	lr 0.04483
Warmup Train [9][720/2134]	Time 0.413 (0.640)	Data 0.002 (0.020)	Loss 5.3969 (5.4137)	Top-1 acc 6.641 (5.998)	Top-5 acc 20.312 (18.253)	lr 0.04483
Warmup Train [9][730/2134]	Time 0.651 (0.640)	Data 0.002 (0.020)	Loss 5.3720 (5.4132)	Top-1 acc 8.594 (6.006)	Top-5 acc 21.875 (18.270)	lr 0.04482
Warmup Train [9][740/2134]	Time 0.527 (0.639)	Data 0.002 (0.020)	Loss 5.3977 (5.4135)	Top-1 acc 5.078 (5.999)	Top-5 acc 20.312 (18.279)	lr 0.04482
Warmup Train [9][750/2134]	Time 0.681 (0.639)	Data 0.002 (0.020)	Loss 5.4691 (5.4131)	Top-1 acc 6.250 (6.011)	Top-5 acc 16.797 (18.293)	lr 0.04481
Warmup Train [9][760/2134]	Time 0.334 (0.639)	Data 0.002 (0.020)	Loss 5.3652 (5.4131)	Top-1 acc 7.031 (6.021)	Top-5 acc 19.922 (18.308)	lr 0.04481
Warmup Train [9][770/2134]	Time 0.605 (0.639)	Data 0.002 (0.020)	Loss 5.3937 (5.4129)	Top-1 acc 6.250 (6.027)	Top-5 acc 19.531 (18.318)	lr 0.04480
Warmup Train [9][780/2134]	Time 0.581 (0.638)	Data 0.003 (0.020)	Loss 5.3438 (5.4127)	Top-1 acc 5.469 (6.030)	Top-5 acc 21.484 (18.320)	lr 0.04480
Warmup Train [9][790/2134]	Time 0.496 (0.638)	Data 0.002 (0.019)	Loss 5.4725 (5.4119)	Top-1 acc 5.469 (6.041)	Top-5 acc 20.312 (18.353)	lr 0.04479
Warmup Train [9][800/2134]	Time 0.548 (0.638)	Data 0.002 (0.019)	Loss 5.3383 (5.4117)	Top-1 acc 6.641 (6.051)	Top-5 acc 18.750 (18.358)	lr 0.04478
Warmup Train [9][810/2134]	Time 0.757 (0.637)	Data 0.002 (0.019)	Loss 5.3104 (5.4113)	Top-1 acc 7.812 (6.058)	Top-5 acc 17.578 (18.378)	lr 0.04478
Warmup Train [9][820/2134]	Time 0.608 (0.637)	Data 0.002 (0.019)	Loss 5.3128 (5.4112)	Top-1 acc 6.250 (6.065)	Top-5 acc 19.141 (18.380)	lr 0.04477
Warmup Train [9][830/2134]	Time 0.638 (0.637)	Data 0.002 (0.019)	Loss 5.4495 (5.4110)	Top-1 acc 4.688 (6.071)	Top-5 acc 16.797 (18.388)	lr 0.04477
Warmup Train [9][840/2134]	Time 0.551 (0.637)	Data 0.003 (0.019)	Loss 5.2647 (5.4101)	Top-1 acc 8.594 (6.071)	Top-5 acc 21.094 (18.404)	lr 0.04476
Warmup Train [9][850/2134]	Time 0.534 (0.637)	Data 0.002 (0.018)	Loss 5.3375 (5.4096)	Top-1 acc 5.469 (6.071)	Top-5 acc 18.359 (18.416)	lr 0.04476
Warmup Train [9][860/2134]	Time 0.593 (0.637)	Data 0.003 (0.018)	Loss 5.4133 (5.4096)	Top-1 acc 5.859 (6.069)	Top-5 acc 19.922 (18.410)	lr 0.04475
Warmup Train [9][870/2134]	Time 0.608 (0.637)	Data 0.002 (0.018)	Loss 5.4730 (5.4093)	Top-1 acc 5.859 (6.079)	Top-5 acc 17.578 (18.424)	lr 0.04474
Warmup Train [9][880/2134]	Time 0.510 (0.636)	Data 0.003 (0.018)	Loss 5.4020 (5.4092)	Top-1 acc 4.688 (6.082)	Top-5 acc 14.453 (18.415)	lr 0.04474
Warmup Train [9][890/2134]	Time 0.660 (0.636)	Data 0.002 (0.018)	Loss 5.3950 (5.4092)	Top-1 acc 7.422 (6.090)	Top-5 acc 17.578 (18.418)	lr 0.04473
Warmup Train [9][900/2134]	Time 0.580 (0.636)	Data 0.002 (0.018)	Loss 5.3114 (5.4085)	Top-1 acc 3.906 (6.087)	Top-5 acc 17.188 (18.421)	lr 0.04473
Warmup Train [9][910/2134]	Time 0.699 (0.636)	Data 0.002 (0.018)	Loss 5.2906 (5.4084)	Top-1 acc 7.031 (6.091)	Top-5 acc 20.703 (18.438)	lr 0.04472
Warmup Train [9][920/2134]	Time 0.676 (0.636)	Data 0.002 (0.018)	Loss 5.5062 (5.4083)	Top-1 acc 7.422 (6.104)	Top-5 acc 17.969 (18.439)	lr 0.04472
Warmup Train [9][930/2134]	Time 0.583 (0.637)	Data 0.002 (0.017)	Loss 5.5280 (5.4083)	Top-1 acc 3.906 (6.101)	Top-5 acc 14.844 (18.427)	lr 0.04471
Warmup Train [9][940/2134]	Time 0.603 (0.636)	Data 0.002 (0.017)	Loss 5.3013 (5.4078)	Top-1 acc 7.812 (6.103)	Top-5 acc 17.969 (18.433)	lr 0.04471
Warmup Train [9][950/2134]	Time 0.663 (0.636)	Data 0.002 (0.017)	Loss 5.3333 (5.4073)	Top-1 acc 7.812 (6.101)	Top-5 acc 19.922 (18.434)	lr 0.04470
Warmup Train [9][960/2134]	Time 0.660 (0.636)	Data 0.002 (0.017)	Loss 5.5582 (5.4070)	Top-1 acc 3.125 (6.111)	Top-5 acc 14.844 (18.445)	lr 0.04469
Warmup Train [9][970/2134]	Time 0.508 (0.635)	Data 0.002 (0.017)	Loss 5.2724 (5.4070)	Top-1 acc 7.031 (6.107)	Top-5 acc 23.047 (18.435)	lr 0.04469
Warmup Train [9][980/2134]	Time 0.643 (0.635)	Data 0.002 (0.017)	Loss 5.3938 (5.4067)	Top-1 acc 6.250 (6.111)	Top-5 acc 17.578 (18.446)	lr 0.04468
Warmup Train [9][990/2134]	Time 0.563 (0.635)	Data 0.002 (0.017)	Loss 5.3288 (5.4062)	Top-1 acc 7.422 (6.107)	Top-5 acc 19.922 (18.453)	lr 0.04468
Warmup Train [9][1000/2134]	Time 0.582 (0.635)	Data 0.002 (0.017)	Loss 5.4851 (5.4061)	Top-1 acc 6.641 (6.108)	Top-5 acc 20.703 (18.459)	lr 0.04467
Warmup Train [9][1010/2134]	Time 0.555 (0.635)	Data 0.002 (0.016)	Loss 5.4126 (5.4053)	Top-1 acc 8.984 (6.119)	Top-5 acc 20.312 (18.483)	lr 0.04467
Warmup Train [9][1020/2134]	Time 0.610 (0.634)	Data 0.002 (0.016)	Loss 5.2335 (5.4047)	Top-1 acc 9.375 (6.130)	Top-5 acc 24.609 (18.501)	lr 0.04466
Warmup Train [9][1030/2134]	Time 0.681 (0.635)	Data 0.002 (0.016)	Loss 5.4158 (5.4042)	Top-1 acc 3.516 (6.135)	Top-5 acc 18.359 (18.511)	lr 0.04465
Warmup Train [9][1040/2134]	Time 0.680 (0.635)	Data 0.002 (0.016)	Loss 5.4380 (5.4042)	Top-1 acc 9.766 (6.136)	Top-5 acc 17.969 (18.503)	lr 0.04465
Warmup Train [9][1050/2134]	Time 0.676 (0.635)	Data 0.002 (0.016)	Loss 5.4088 (5.4042)	Top-1 acc 7.031 (6.136)	Top-5 acc 19.531 (18.502)	lr 0.04464
Warmup Train [9][1060/2134]	Time 0.632 (0.634)	Data 0.002 (0.016)	Loss 5.3396 (5.4039)	Top-1 acc 5.469 (6.138)	Top-5 acc 21.484 (18.515)	lr 0.04464
Warmup Train [9][1070/2134]	Time 0.553 (0.634)	Data 0.002 (0.016)	Loss 5.3186 (5.4036)	Top-1 acc 7.812 (6.149)	Top-5 acc 21.094 (18.523)	lr 0.04463
Warmup Train [9][1080/2134]	Time 0.513 (0.634)	Data 0.002 (0.016)	Loss 5.3484 (5.4032)	Top-1 acc 6.641 (6.151)	Top-5 acc 16.406 (18.525)	lr 0.04463
Warmup Train [9][1090/2134]	Time 0.608 (0.634)	Data 0.002 (0.016)	Loss 5.3697 (5.4031)	Top-1 acc 5.469 (6.151)	Top-5 acc 17.969 (18.534)	lr 0.04462
Warmup Train [9][1100/2134]	Time 0.666 (0.634)	Data 0.002 (0.016)	Loss 5.3471 (5.4030)	Top-1 acc 5.469 (6.152)	Top-5 acc 21.094 (18.544)	lr 0.04461
Warmup Train [9][1110/2134]	Time 0.620 (0.634)	Data 0.002 (0.016)	Loss 5.3650 (5.4030)	Top-1 acc 7.422 (6.149)	Top-5 acc 22.656 (18.549)	lr 0.04461
Warmup Train [9][1120/2134]	Time 0.625 (0.634)	Data 0.002 (0.015)	Loss 5.2962 (5.4026)	Top-1 acc 7.422 (6.157)	Top-5 acc 22.656 (18.562)	lr 0.04460
Warmup Train [9][1130/2134]	Time 0.598 (0.634)	Data 0.002 (0.015)	Loss 5.4069 (5.4025)	Top-1 acc 6.641 (6.161)	Top-5 acc 17.969 (18.572)	lr 0.04460
Warmup Train [9][1140/2134]	Time 0.607 (0.634)	Data 0.002 (0.015)	Loss 5.3510 (5.4021)	Top-1 acc 9.375 (6.165)	Top-5 acc 20.312 (18.575)	lr 0.04459
Warmup Train [9][1150/2134]	Time 0.777 (0.634)	Data 0.003 (0.015)	Loss 5.2983 (5.4018)	Top-1 acc 7.812 (6.171)	Top-5 acc 20.312 (18.582)	lr 0.04459
Warmup Train [9][1160/2134]	Time 0.548 (0.633)	Data 0.002 (0.015)	Loss 5.4071 (5.4021)	Top-1 acc 5.469 (6.163)	Top-5 acc 22.656 (18.576)	lr 0.04458
Warmup Train [9][1170/2134]	Time 0.470 (0.633)	Data 0.004 (0.015)	Loss 5.3065 (5.4018)	Top-1 acc 9.375 (6.169)	Top-5 acc 19.922 (18.581)	lr 0.04457
Warmup Train [9][1180/2134]	Time 0.637 (0.633)	Data 0.002 (0.015)	Loss 5.4889 (5.4019)	Top-1 acc 5.469 (6.169)	Top-5 acc 15.234 (18.577)	lr 0.04457
Warmup Train [9][1190/2134]	Time 0.528 (0.633)	Data 0.005 (0.015)	Loss 5.4099 (5.4014)	Top-1 acc 5.078 (6.177)	Top-5 acc 19.922 (18.586)	lr 0.04456
Warmup Train [9][1200/2134]	Time 0.504 (0.633)	Data 0.002 (0.015)	Loss 5.4221 (5.4011)	Top-1 acc 5.859 (6.183)	Top-5 acc 16.797 (18.593)	lr 0.04456
Warmup Train [9][1210/2134]	Time 0.552 (0.633)	Data 0.002 (0.015)	Loss 5.3177 (5.4008)	Top-1 acc 7.812 (6.182)	Top-5 acc 20.312 (18.605)	lr 0.04455
Warmup Train [9][1220/2134]	Time 0.677 (0.633)	Data 0.002 (0.015)	Loss 5.2242 (5.4003)	Top-1 acc 8.594 (6.191)	Top-5 acc 23.828 (18.623)	lr 0.04455
Warmup Train [9][1230/2134]	Time 0.575 (0.633)	Data 0.002 (0.015)	Loss 5.3057 (5.4000)	Top-1 acc 7.422 (6.195)	Top-5 acc 18.750 (18.635)	lr 0.04454
Warmup Train [9][1240/2134]	Time 0.699 (0.633)	Data 0.003 (0.015)	Loss 5.3817 (5.3998)	Top-1 acc 7.422 (6.196)	Top-5 acc 19.922 (18.641)	lr 0.04453
Warmup Train [9][1250/2134]	Time 0.589 (0.632)	Data 0.002 (0.015)	Loss 5.3715 (5.3995)	Top-1 acc 7.812 (6.197)	Top-5 acc 15.625 (18.645)	lr 0.04453
Warmup Train [9][1260/2134]	Time 0.551 (0.632)	Data 0.002 (0.015)	Loss 5.3797 (5.3993)	Top-1 acc 7.031 (6.198)	Top-5 acc 16.797 (18.648)	lr 0.04452
Warmup Train [9][1270/2134]	Time 0.691 (0.632)	Data 0.002 (0.015)	Loss 5.3108 (5.3992)	Top-1 acc 7.422 (6.207)	Top-5 acc 21.875 (18.657)	lr 0.04452
Warmup Train [9][1280/2134]	Time 0.637 (0.632)	Data 0.002 (0.015)	Loss 5.4070 (5.3989)	Top-1 acc 7.422 (6.215)	Top-5 acc 19.141 (18.665)	lr 0.04451
Warmup Train [9][1290/2134]	Time 0.512 (0.633)	Data 0.002 (0.015)	Loss 5.3427 (5.3987)	Top-1 acc 8.203 (6.221)	Top-5 acc 19.141 (18.665)	lr 0.04451
Warmup Train [9][1300/2134]	Time 0.440 (0.632)	Data 0.002 (0.015)	Loss 5.3452 (5.3986)	Top-1 acc 5.469 (6.221)	Top-5 acc 23.438 (18.670)	lr 0.04450
Warmup Train [9][1310/2134]	Time 0.693 (0.632)	Data 0.002 (0.015)	Loss 5.3065 (5.3983)	Top-1 acc 6.250 (6.223)	Top-5 acc 21.875 (18.675)	lr 0.04449
Warmup Train [9][1320/2134]	Time 0.736 (0.633)	Data 0.003 (0.014)	Loss 5.3906 (5.3979)	Top-1 acc 7.422 (6.230)	Top-5 acc 19.531 (18.692)	lr 0.04449
Warmup Train [9][1330/2134]	Time 0.628 (0.632)	Data 0.002 (0.014)	Loss 5.2887 (5.3976)	Top-1 acc 7.422 (6.236)	Top-5 acc 18.359 (18.701)	lr 0.04448
Warmup Train [9][1340/2134]	Time 0.706 (0.632)	Data 0.002 (0.014)	Loss 5.3881 (5.3973)	Top-1 acc 6.641 (6.240)	Top-5 acc 19.141 (18.714)	lr 0.04448
Warmup Train [9][1350/2134]	Time 0.639 (0.632)	Data 0.004 (0.014)	Loss 5.3917 (5.3972)	Top-1 acc 5.078 (6.240)	Top-5 acc 19.141 (18.716)	lr 0.04447
Warmup Train [9][1360/2134]	Time 0.657 (0.632)	Data 0.003 (0.014)	Loss 5.4660 (5.3968)	Top-1 acc 3.906 (6.242)	Top-5 acc 19.531 (18.722)	lr 0.04447
Warmup Train [9][1370/2134]	Time 0.570 (0.633)	Data 0.002 (0.014)	Loss 5.2792 (5.3966)	Top-1 acc 8.984 (6.252)	Top-5 acc 21.875 (18.732)	lr 0.04446
Warmup Train [9][1380/2134]	Time 0.730 (0.633)	Data 0.002 (0.014)	Loss 5.2260 (5.3964)	Top-1 acc 7.812 (6.258)	Top-5 acc 19.531 (18.732)	lr 0.04445
Warmup Train [9][1390/2134]	Time 0.684 (0.633)	Data 0.005 (0.014)	Loss 5.3704 (5.3962)	Top-1 acc 8.203 (6.256)	Top-5 acc 22.266 (18.730)	lr 0.04445
Warmup Train [9][1400/2134]	Time 0.627 (0.632)	Data 0.003 (0.014)	Loss 5.3318 (5.3958)	Top-1 acc 8.594 (6.260)	Top-5 acc 20.703 (18.737)	lr 0.04444
Warmup Train [9][1410/2134]	Time 0.615 (0.632)	Data 0.002 (0.014)	Loss 5.3036 (5.3960)	Top-1 acc 5.859 (6.255)	Top-5 acc 22.266 (18.731)	lr 0.04444
Warmup Train [9][1420/2134]	Time 0.534 (0.632)	Data 0.002 (0.014)	Loss 5.2930 (5.3956)	Top-1 acc 7.812 (6.263)	Top-5 acc 22.266 (18.748)	lr 0.04443
Warmup Train [9][1430/2134]	Time 0.733 (0.632)	Data 0.002 (0.014)	Loss 5.4480 (5.3955)	Top-1 acc 3.906 (6.268)	Top-5 acc 16.406 (18.757)	lr 0.04442
Warmup Train [9][1440/2134]	Time 0.427 (0.632)	Data 0.003 (0.014)	Loss 5.2798 (5.3953)	Top-1 acc 8.594 (6.270)	Top-5 acc 20.703 (18.768)	lr 0.04442
Warmup Train [9][1450/2134]	Time 0.714 (0.632)	Data 0.002 (0.014)	Loss 5.2955 (5.3950)	Top-1 acc 8.984 (6.275)	Top-5 acc 24.609 (18.781)	lr 0.04441
Warmup Train [9][1460/2134]	Time 0.549 (0.632)	Data 0.004 (0.014)	Loss 5.2473 (5.3946)	Top-1 acc 8.203 (6.289)	Top-5 acc 24.219 (18.797)	lr 0.04441
Warmup Train [9][1470/2134]	Time 0.772 (0.632)	Data 0.003 (0.014)	Loss 5.2707 (5.3945)	Top-1 acc 8.594 (6.292)	Top-5 acc 18.750 (18.795)	lr 0.04440
Warmup Train [9][1480/2134]	Time 0.789 (0.632)	Data 0.002 (0.014)	Loss 5.4526 (5.3948)	Top-1 acc 6.250 (6.294)	Top-5 acc 16.016 (18.790)	lr 0.04440
Warmup Train [9][1490/2134]	Time 0.659 (0.632)	Data 0.002 (0.014)	Loss 5.2626 (5.3946)	Top-1 acc 9.375 (6.297)	Top-5 acc 24.219 (18.799)	lr 0.04439
Warmup Train [9][1500/2134]	Time 0.710 (0.632)	Data 0.002 (0.014)	Loss 5.2700 (5.3942)	Top-1 acc 10.938 (6.299)	Top-5 acc 21.484 (18.804)	lr 0.04438
Warmup Train [9][1510/2134]	Time 0.671 (0.632)	Data 0.002 (0.014)	Loss 5.3115 (5.3941)	Top-1 acc 7.031 (6.301)	Top-5 acc 21.094 (18.806)	lr 0.04438
Warmup Train [9][1520/2134]	Time 0.422 (0.632)	Data 0.004 (0.013)	Loss 5.3153 (5.3939)	Top-1 acc 7.422 (6.304)	Top-5 acc 19.531 (18.805)	lr 0.04437
Warmup Train [9][1530/2134]	Time 0.606 (0.632)	Data 0.002 (0.013)	Loss 5.3956 (5.3938)	Top-1 acc 6.250 (6.303)	Top-5 acc 16.406 (18.803)	lr 0.04437
Warmup Train [9][1540/2134]	Time 0.700 (0.632)	Data 0.002 (0.013)	Loss 5.3797 (5.3937)	Top-1 acc 6.250 (6.303)	Top-5 acc 21.094 (18.812)	lr 0.04436
Warmup Train [9][1550/2134]	Time 0.603 (0.632)	Data 0.004 (0.013)	Loss 5.3728 (5.3934)	Top-1 acc 5.859 (6.304)	Top-5 acc 18.359 (18.814)	lr 0.04436
Warmup Train [9][1560/2134]	Time 0.621 (0.632)	Data 0.003 (0.013)	Loss 5.3664 (5.3932)	Top-1 acc 9.766 (6.308)	Top-5 acc 23.828 (18.824)	lr 0.04435
Warmup Train [9][1570/2134]	Time 0.750 (0.632)	Data 0.002 (0.013)	Loss 5.5013 (5.3928)	Top-1 acc 1.953 (6.311)	Top-5 acc 14.062 (18.832)	lr 0.04434
Warmup Train [9][1580/2134]	Time 0.560 (0.632)	Data 0.004 (0.013)	Loss 5.4573 (5.3926)	Top-1 acc 3.906 (6.315)	Top-5 acc 16.406 (18.841)	lr 0.04434
Warmup Train [9][1590/2134]	Time 0.613 (0.632)	Data 0.002 (0.013)	Loss 5.2753 (5.3923)	Top-1 acc 7.812 (6.316)	Top-5 acc 22.266 (18.843)	lr 0.04433
Warmup Train [9][1600/2134]	Time 0.641 (0.631)	Data 0.002 (0.013)	Loss 5.4567 (5.3922)	Top-1 acc 6.641 (6.316)	Top-5 acc 19.141 (18.847)	lr 0.04433
Warmup Train [9][1610/2134]	Time 0.419 (0.631)	Data 0.002 (0.013)	Loss 5.4564 (5.3921)	Top-1 acc 4.688 (6.316)	Top-5 acc 16.406 (18.845)	lr 0.04432
Warmup Train [9][1620/2134]	Time 0.651 (0.631)	Data 0.002 (0.013)	Loss 5.2085 (5.3916)	Top-1 acc 10.938 (6.322)	Top-5 acc 26.953 (18.861)	lr 0.04431
Warmup Train [9][1630/2134]	Time 0.644 (0.632)	Data 0.003 (0.013)	Loss 5.3833 (5.3915)	Top-1 acc 8.203 (6.322)	Top-5 acc 18.359 (18.862)	lr 0.04431
Warmup Train [9][1640/2134]	Time 0.783 (0.631)	Data 0.002 (0.013)	Loss 5.3705 (5.3911)	Top-1 acc 6.250 (6.323)	Top-5 acc 19.141 (18.872)	lr 0.04430
Warmup Train [9][1650/2134]	Time 0.569 (0.631)	Data 0.002 (0.013)	Loss 5.3296 (5.3910)	Top-1 acc 4.688 (6.328)	Top-5 acc 16.797 (18.873)	lr 0.04430
Warmup Train [9][1660/2134]	Time 0.667 (0.631)	Data 0.003 (0.013)	Loss 5.3693 (5.3909)	Top-1 acc 7.812 (6.330)	Top-5 acc 22.656 (18.879)	lr 0.04429
Warmup Train [9][1670/2134]	Time 0.572 (0.631)	Data 0.002 (0.013)	Loss 5.3218 (5.3907)	Top-1 acc 8.984 (6.334)	Top-5 acc 24.219 (18.893)	lr 0.04429
Warmup Train [9][1680/2134]	Time 0.561 (0.631)	Data 0.002 (0.013)	Loss 5.2669 (5.3905)	Top-1 acc 7.812 (6.336)	Top-5 acc 19.922 (18.893)	lr 0.04428
Warmup Train [9][1690/2134]	Time 0.451 (0.631)	Data 0.002 (0.013)	Loss 5.3366 (5.3901)	Top-1 acc 5.859 (6.340)	Top-5 acc 19.922 (18.902)	lr 0.04427
Warmup Train [9][1700/2134]	Time 0.621 (0.631)	Data 0.004 (0.013)	Loss 5.5463 (5.3899)	Top-1 acc 3.125 (6.343)	Top-5 acc 15.234 (18.906)	lr 0.04427
Warmup Train [9][1710/2134]	Time 0.722 (0.631)	Data 0.002 (0.013)	Loss 5.4034 (5.3895)	Top-1 acc 5.469 (6.347)	Top-5 acc 16.406 (18.911)	lr 0.04426
Warmup Train [9][1720/2134]	Time 0.667 (0.631)	Data 0.002 (0.013)	Loss 5.2875 (5.3894)	Top-1 acc 7.812 (6.346)	Top-5 acc 22.266 (18.918)	lr 0.04426
Warmup Train [9][1730/2134]	Time 0.687 (0.631)	Data 0.002 (0.013)	Loss 5.3925 (5.3892)	Top-1 acc 7.422 (6.349)	Top-5 acc 17.188 (18.923)	lr 0.04425
Warmup Train [9][1740/2134]	Time 0.511 (0.631)	Data 0.002 (0.013)	Loss 5.3211 (5.3890)	Top-1 acc 7.812 (6.350)	Top-5 acc 18.750 (18.926)	lr 0.04424
Warmup Train [9][1750/2134]	Time 0.563 (0.631)	Data 0.002 (0.013)	Loss 5.3595 (5.3888)	Top-1 acc 9.766 (6.355)	Top-5 acc 20.703 (18.931)	lr 0.04424
Warmup Train [9][1760/2134]	Time 0.589 (0.631)	Data 0.003 (0.013)	Loss 5.3785 (5.3886)	Top-1 acc 8.203 (6.359)	Top-5 acc 18.750 (18.932)	lr 0.04423
Warmup Train [9][1770/2134]	Time 0.630 (0.631)	Data 0.002 (0.013)	Loss 5.3476 (5.3886)	Top-1 acc 4.297 (6.360)	Top-5 acc 19.531 (18.931)	lr 0.04423
Warmup Train [9][1780/2134]	Time 0.711 (0.631)	Data 0.002 (0.013)	Loss 5.3529 (5.3883)	Top-1 acc 6.250 (6.361)	Top-5 acc 20.703 (18.934)	lr 0.04422
Warmup Train [9][1790/2134]	Time 0.721 (0.631)	Data 0.003 (0.013)	Loss 5.4450 (5.3881)	Top-1 acc 3.125 (6.362)	Top-5 acc 19.531 (18.937)	lr 0.04421
Warmup Train [9][1800/2134]	Time 0.509 (0.630)	Data 0.002 (0.013)	Loss 5.4707 (5.3879)	Top-1 acc 5.859 (6.365)	Top-5 acc 15.625 (18.943)	lr 0.04421
Warmup Train [9][1810/2134]	Time 0.546 (0.631)	Data 0.002 (0.013)	Loss 5.4001 (5.3878)	Top-1 acc 5.859 (6.366)	Top-5 acc 18.750 (18.947)	lr 0.04420
Warmup Train [9][1820/2134]	Time 0.609 (0.631)	Data 0.002 (0.012)	Loss 5.4904 (5.3877)	Top-1 acc 4.688 (6.368)	Top-5 acc 15.625 (18.949)	lr 0.04420
Warmup Train [9][1830/2134]	Time 0.606 (0.631)	Data 0.002 (0.012)	Loss 5.2918 (5.3873)	Top-1 acc 6.250 (6.372)	Top-5 acc 18.750 (18.960)	lr 0.04419
Warmup Train [9][1840/2134]	Time 0.648 (0.631)	Data 0.004 (0.012)	Loss 5.2880 (5.3871)	Top-1 acc 4.688 (6.375)	Top-5 acc 21.875 (18.960)	lr 0.04419
Warmup Train [9][1850/2134]	Time 0.564 (0.630)	Data 0.002 (0.012)	Loss 5.3037 (5.3869)	Top-1 acc 8.203 (6.376)	Top-5 acc 21.875 (18.963)	lr 0.04418
Warmup Train [9][1860/2134]	Time 0.640 (0.630)	Data 0.002 (0.012)	Loss 5.3594 (5.3866)	Top-1 acc 5.078 (6.378)	Top-5 acc 19.531 (18.971)	lr 0.04417
Warmup Train [9][1870/2134]	Time 0.668 (0.630)	Data 0.002 (0.012)	Loss 5.2577 (5.3863)	Top-1 acc 10.156 (6.386)	Top-5 acc 19.141 (18.976)	lr 0.04417
Warmup Train [9][1880/2134]	Time 0.568 (0.630)	Data 0.003 (0.012)	Loss 5.2322 (5.3857)	Top-1 acc 4.688 (6.393)	Top-5 acc 26.172 (18.986)	lr 0.04416
Warmup Train [9][1890/2134]	Time 0.688 (0.630)	Data 0.002 (0.012)	Loss 5.3651 (5.3856)	Top-1 acc 7.422 (6.394)	Top-5 acc 23.438 (18.987)	lr 0.04416
Warmup Train [9][1900/2134]	Time 0.793 (0.631)	Data 0.002 (0.012)	Loss 5.4036 (5.3855)	Top-1 acc 7.812 (6.400)	Top-5 acc 19.531 (18.989)	lr 0.04415
Warmup Train [9][1910/2134]	Time 0.545 (0.631)	Data 0.002 (0.012)	Loss 5.3053 (5.3851)	Top-1 acc 8.203 (6.406)	Top-5 acc 19.922 (18.996)	lr 0.04414
Warmup Train [9][1920/2134]	Time 0.530 (0.630)	Data 0.002 (0.012)	Loss 5.2018 (5.3846)	Top-1 acc 8.203 (6.415)	Top-5 acc 20.312 (19.008)	lr 0.04414
Warmup Train [9][1930/2134]	Time 0.656 (0.630)	Data 0.002 (0.012)	Loss 5.4891 (5.3844)	Top-1 acc 4.297 (6.419)	Top-5 acc 14.844 (19.013)	lr 0.04413
Warmup Train [9][1940/2134]	Time 0.576 (0.630)	Data 0.002 (0.012)	Loss 5.2404 (5.3842)	Top-1 acc 6.250 (6.417)	Top-5 acc 20.703 (19.019)	lr 0.04413
Warmup Train [9][1950/2134]	Time 0.541 (0.630)	Data 0.002 (0.012)	Loss 5.2339 (5.3837)	Top-1 acc 9.766 (6.426)	Top-5 acc 20.312 (19.026)	lr 0.04412
Warmup Train [9][1960/2134]	Time 0.512 (0.630)	Data 0.002 (0.012)	Loss 5.3005 (5.3835)	Top-1 acc 8.203 (6.429)	Top-5 acc 21.875 (19.030)	lr 0.04411
Warmup Train [9][1970/2134]	Time 0.648 (0.630)	Data 0.002 (0.012)	Loss 5.2270 (5.3833)	Top-1 acc 10.547 (6.431)	Top-5 acc 21.094 (19.033)	lr 0.04411
Warmup Train [9][1980/2134]	Time 0.621 (0.630)	Data 0.002 (0.012)	Loss 5.4396 (5.3830)	Top-1 acc 7.422 (6.434)	Top-5 acc 20.312 (19.041)	lr 0.04410
Warmup Train [9][1990/2134]	Time 0.737 (0.630)	Data 0.002 (0.012)	Loss 5.4234 (5.3828)	Top-1 acc 5.469 (6.431)	Top-5 acc 20.312 (19.045)	lr 0.04410
Warmup Train [9][2000/2134]	Time 0.614 (0.630)	Data 0.002 (0.012)	Loss 5.4053 (5.3827)	Top-1 acc 4.297 (6.433)	Top-5 acc 18.750 (19.050)	lr 0.04409
Warmup Train [9][2010/2134]	Time 0.545 (0.630)	Data 0.002 (0.012)	Loss 5.3041 (5.3827)	Top-1 acc 7.031 (6.432)	Top-5 acc 21.484 (19.053)	lr 0.04408
Warmup Train [9][2020/2134]	Time 0.733 (0.630)	Data 0.003 (0.012)	Loss 5.3232 (5.3824)	Top-1 acc 5.078 (6.437)	Top-5 acc 17.188 (19.056)	lr 0.04408
Warmup Train [9][2030/2134]	Time 0.568 (0.630)	Data 0.002 (0.012)	Loss 5.4036 (5.3821)	Top-1 acc 7.031 (6.443)	Top-5 acc 18.359 (19.065)	lr 0.04407
Warmup Train [9][2040/2134]	Time 0.613 (0.630)	Data 0.002 (0.012)	Loss 5.3370 (5.3819)	Top-1 acc 7.812 (6.447)	Top-5 acc 18.359 (19.066)	lr 0.04407
Warmup Train [9][2050/2134]	Time 0.614 (0.630)	Data 0.002 (0.012)	Loss 5.1790 (5.3814)	Top-1 acc 8.984 (6.454)	Top-5 acc 25.391 (19.077)	lr 0.04406
Warmup Train [9][2060/2134]	Time 0.702 (0.629)	Data 0.002 (0.012)	Loss 5.3030 (5.3812)	Top-1 acc 3.125 (6.457)	Top-5 acc 18.750 (19.084)	lr 0.04405
Warmup Train [9][2070/2134]	Time 0.716 (0.629)	Data 0.002 (0.012)	Loss 5.3706 (5.3810)	Top-1 acc 6.641 (6.460)	Top-5 acc 19.922 (19.091)	lr 0.04405
Warmup Train [9][2080/2134]	Time 0.668 (0.630)	Data 0.000 (0.012)	Loss 5.3371 (5.3809)	Top-1 acc 7.031 (6.462)	Top-5 acc 21.875 (19.096)	lr 0.04404
Warmup Train [9][2090/2134]	Time 0.501 (0.629)	Data 0.000 (0.012)	Loss 5.3990 (5.3809)	Top-1 acc 3.906 (6.455)	Top-5 acc 17.969 (19.090)	lr 0.04404
Warmup Train [9][2100/2134]	Time 0.554 (0.629)	Data 0.000 (0.012)	Loss 5.2673 (5.3805)	Top-1 acc 8.984 (6.461)	Top-5 acc 17.969 (19.103)	lr 0.04403
Warmup Train [9][2110/2134]	Time 0.612 (0.629)	Data 0.000 (0.012)	Loss 5.2656 (5.3802)	Top-1 acc 7.031 (6.466)	Top-5 acc 19.922 (19.108)	lr 0.04403
Warmup Train [9][2120/2134]	Time 0.615 (0.629)	Data 0.000 (0.012)	Loss 5.3731 (5.3800)	Top-1 acc 6.250 (6.470)	Top-5 acc 21.875 (19.113)	lr 0.04402
Warmup Train [9][2130/2134]	Time 0.585 (0.629)	Data 0.000 (0.012)	Loss 5.2484 (5.3798)	Top-1 acc 7.422 (6.477)	Top-5 acc 23.438 (19.120)	lr 0.04401
Warmup Train [9][2134/2134]	Time 0.579 (0.628)	Data 0.000 (0.012)	Loss 5.3280 (5.3796)	Top-1 acc 5.348 (6.478)	Top-5 acc 16.578 (19.122)	lr 0.04401
==========Warmup Valid [9/40]	loss 4.711	top-1 acc 9.685	top-5 acc 25.932	Train top-1 6.478	top-5 19.122	flops: 442.4M
Warmup Train [10][0/2134]	Time 13.210 (13.210)	Data 10.944 (10.944)	Loss 5.2848 (5.2848)	Top-1 acc 8.203 (8.203)	Top-5 acc 20.312 (20.312)	lr 0.04401
Warmup Train [10][10/2134]	Time 0.606 (1.968)	Data 0.002 (0.998)	Loss 5.1752 (5.3284)	Top-1 acc 7.812 (6.783)	Top-5 acc 24.609 (20.135)	lr 0.04400
Warmup Train [10][20/2134]	Time 0.661 (1.328)	Data 0.002 (0.525)	Loss 5.3613 (5.3382)	Top-1 acc 7.031 (6.808)	Top-5 acc 19.922 (19.754)	lr 0.04400
Warmup Train [10][30/2134]	Time 0.637 (1.093)	Data 0.003 (0.357)	Loss 5.4766 (5.3498)	Top-1 acc 3.516 (6.867)	Top-5 acc 16.406 (19.405)	lr 0.04399
Warmup Train [10][40/2134]	Time 0.566 (0.973)	Data 0.002 (0.270)	Loss 5.3274 (5.3427)	Top-1 acc 6.641 (6.860)	Top-5 acc 19.922 (19.817)	lr 0.04399
Warmup Train [10][50/2134]	Time 0.570 (0.905)	Data 0.002 (0.220)	Loss 5.3752 (5.3390)	Top-1 acc 7.422 (6.924)	Top-5 acc 18.359 (19.907)	lr 0.04398
Warmup Train [10][60/2134]	Time 0.530 (0.860)	Data 0.002 (0.186)	Loss 5.3565 (5.3430)	Top-1 acc 6.641 (6.897)	Top-5 acc 20.312 (19.877)	lr 0.04397
Warmup Train [10][70/2134]	Time 0.656 (0.828)	Data 0.002 (0.161)	Loss 5.4017 (5.3407)	Top-1 acc 5.859 (6.971)	Top-5 acc 18.750 (19.944)	lr 0.04397
Warmup Train [10][80/2134]	Time 0.624 (0.802)	Data 0.002 (0.142)	Loss 5.2938 (5.3366)	Top-1 acc 5.078 (6.969)	Top-5 acc 21.094 (19.989)	lr 0.04396
Warmup Train [10][90/2134]	Time 0.567 (0.780)	Data 0.002 (0.126)	Loss 5.3551 (5.3307)	Top-1 acc 6.641 (7.010)	Top-5 acc 20.703 (20.141)	lr 0.04396
Warmup Train [10][100/2134]	Time 0.548 (0.772)	Data 0.002 (0.116)	Loss 5.5378 (5.3310)	Top-1 acc 5.469 (6.993)	Top-5 acc 17.578 (20.200)	lr 0.04395
Warmup Train [10][110/2134]	Time 0.566 (0.758)	Data 0.002 (0.106)	Loss 5.3854 (5.3322)	Top-1 acc 4.688 (7.007)	Top-5 acc 15.625 (20.210)	lr 0.04394
Warmup Train [10][120/2134]	Time 0.607 (0.747)	Data 0.002 (0.099)	Loss 5.4251 (5.3314)	Top-1 acc 5.078 (6.980)	Top-5 acc 17.969 (20.245)	lr 0.04394
Warmup Train [10][130/2134]	Time 0.523 (0.737)	Data 0.002 (0.091)	Loss 5.3056 (5.3314)	Top-1 acc 5.078 (6.978)	Top-5 acc 18.750 (20.256)	lr 0.04393
Warmup Train [10][140/2134]	Time 0.531 (0.729)	Data 0.002 (0.086)	Loss 5.3268 (5.3291)	Top-1 acc 3.906 (7.023)	Top-5 acc 17.969 (20.346)	lr 0.04393
Warmup Train [10][150/2134]	Time 0.733 (0.723)	Data 0.002 (0.081)	Loss 5.3993 (5.3305)	Top-1 acc 9.375 (7.029)	Top-5 acc 20.312 (20.232)	lr 0.04392
Warmup Train [10][160/2134]	Time 0.726 (0.716)	Data 0.002 (0.076)	Loss 5.3210 (5.3296)	Top-1 acc 7.422 (7.031)	Top-5 acc 20.703 (20.225)	lr 0.04391
Warmup Train [10][170/2134]	Time 0.742 (0.711)	Data 0.002 (0.072)	Loss 5.3308 (5.3283)	Top-1 acc 5.859 (7.020)	Top-5 acc 19.141 (20.340)	lr 0.04391
Warmup Train [10][180/2134]	Time 0.767 (0.705)	Data 0.002 (0.068)	Loss 5.2544 (5.3251)	Top-1 acc 7.812 (7.074)	Top-5 acc 23.438 (20.440)	lr 0.04390
Warmup Train [10][190/2134]	Time 0.536 (0.706)	Data 0.002 (0.064)	Loss 5.3977 (5.3259)	Top-1 acc 4.688 (7.058)	Top-5 acc 17.188 (20.398)	lr 0.04390
Warmup Train [10][200/2134]	Time 0.507 (0.702)	Data 0.002 (0.062)	Loss 5.4439 (5.3266)	Top-1 acc 6.250 (7.035)	Top-5 acc 15.625 (20.347)	lr 0.04389
Warmup Train [10][210/2134]	Time 0.720 (0.697)	Data 0.002 (0.059)	Loss 5.3358 (5.3270)	Top-1 acc 3.906 (7.035)	Top-5 acc 21.875 (20.422)	lr 0.04388
Warmup Train [10][220/2134]	Time 0.555 (0.694)	Data 0.003 (0.057)	Loss 5.2747 (5.3259)	Top-1 acc 6.641 (7.081)	Top-5 acc 23.438 (20.493)	lr 0.04388
Warmup Train [10][230/2134]	Time 0.570 (0.691)	Data 0.004 (0.055)	Loss 5.2883 (5.3260)	Top-1 acc 7.422 (7.092)	Top-5 acc 23.438 (20.534)	lr 0.04387
Warmup Train [10][240/2134]	Time 0.694 (0.688)	Data 0.002 (0.053)	Loss 5.3493 (5.3251)	Top-1 acc 7.422 (7.098)	Top-5 acc 17.188 (20.539)	lr 0.04387
Warmup Train [10][250/2134]	Time 0.724 (0.684)	Data 0.003 (0.051)	Loss 5.3143 (5.3239)	Top-1 acc 7.422 (7.139)	Top-5 acc 20.703 (20.563)	lr 0.04386
Warmup Train [10][260/2134]	Time 0.725 (0.681)	Data 0.002 (0.049)	Loss 5.2668 (5.3238)	Top-1 acc 9.375 (7.138)	Top-5 acc 23.438 (20.546)	lr 0.04385
Warmup Train [10][270/2134]	Time 0.660 (0.679)	Data 0.002 (0.047)	Loss 5.2629 (5.3227)	Top-1 acc 8.984 (7.155)	Top-5 acc 21.484 (20.545)	lr 0.04385
Warmup Train [10][280/2134]	Time 1.661 (0.680)	Data 0.002 (0.046)	Loss 5.3567 (5.3239)	Top-1 acc 7.031 (7.142)	Top-5 acc 20.312 (20.540)	lr 0.04384
Warmup Train [10][290/2134]	Time 0.622 (0.678)	Data 0.002 (0.044)	Loss 5.2973 (5.3224)	Top-1 acc 6.641 (7.168)	Top-5 acc 23.047 (20.549)	lr 0.04384
Warmup Train [10][300/2134]	Time 0.650 (0.676)	Data 0.003 (0.043)	Loss 5.3871 (5.3226)	Top-1 acc 3.516 (7.148)	Top-5 acc 16.406 (20.560)	lr 0.04383
Warmup Train [10][310/2134]	Time 0.607 (0.674)	Data 0.002 (0.042)	Loss 5.3009 (5.3217)	Top-1 acc 8.203 (7.137)	Top-5 acc 18.750 (20.551)	lr 0.04382
Warmup Train [10][320/2134]	Time 0.629 (0.672)	Data 0.002 (0.040)	Loss 5.5491 (5.3223)	Top-1 acc 6.250 (7.130)	Top-5 acc 15.625 (20.532)	lr 0.04382
Warmup Train [10][330/2134]	Time 0.745 (0.671)	Data 0.002 (0.039)	Loss 5.3798 (5.3221)	Top-1 acc 5.859 (7.122)	Top-5 acc 23.438 (20.557)	lr 0.04381
Warmup Train [10][340/2134]	Time 0.512 (0.669)	Data 0.002 (0.038)	Loss 5.4225 (5.3209)	Top-1 acc 6.641 (7.147)	Top-5 acc 19.922 (20.583)	lr 0.04381
Warmup Train [10][350/2134]	Time 0.616 (0.668)	Data 0.004 (0.038)	Loss 5.3752 (5.3207)	Top-1 acc 4.688 (7.133)	Top-5 acc 16.797 (20.547)	lr 0.04380
Warmup Train [10][360/2134]	Time 0.710 (0.667)	Data 0.003 (0.037)	Loss 5.4098 (5.3212)	Top-1 acc 8.984 (7.154)	Top-5 acc 21.875 (20.551)	lr 0.04379
Warmup Train [10][370/2134]	Time 0.750 (0.666)	Data 0.003 (0.036)	Loss 5.4363 (5.3216)	Top-1 acc 8.594 (7.151)	Top-5 acc 20.703 (20.565)	lr 0.04379
Warmup Train [10][380/2134]	Time 0.673 (0.667)	Data 0.002 (0.035)	Loss 5.2477 (5.3206)	Top-1 acc 8.203 (7.174)	Top-5 acc 26.172 (20.596)	lr 0.04378
Warmup Train [10][390/2134]	Time 0.629 (0.666)	Data 0.002 (0.034)	Loss 5.3790 (5.3200)	Top-1 acc 9.375 (7.182)	Top-5 acc 19.922 (20.619)	lr 0.04378
Warmup Train [10][400/2134]	Time 0.712 (0.665)	Data 0.002 (0.034)	Loss 5.2847 (5.3207)	Top-1 acc 7.422 (7.199)	Top-5 acc 16.797 (20.615)	lr 0.04377
Warmup Train [10][410/2134]	Time 0.633 (0.663)	Data 0.002 (0.033)	Loss 5.2257 (5.3197)	Top-1 acc 10.938 (7.227)	Top-5 acc 23.047 (20.598)	lr 0.04376
Warmup Train [10][420/2134]	Time 0.653 (0.662)	Data 0.002 (0.033)	Loss 5.2204 (5.3191)	Top-1 acc 10.156 (7.241)	Top-5 acc 22.266 (20.611)	lr 0.04376
Warmup Train [10][430/2134]	Time 0.571 (0.661)	Data 0.002 (0.032)	Loss 5.3747 (5.3187)	Top-1 acc 5.078 (7.254)	Top-5 acc 17.188 (20.638)	lr 0.04375
Warmup Train [10][440/2134]	Time 0.420 (0.660)	Data 0.002 (0.031)	Loss 5.1765 (5.3176)	Top-1 acc 8.984 (7.258)	Top-5 acc 24.219 (20.661)	lr 0.04374
Warmup Train [10][450/2134]	Time 0.601 (0.659)	Data 0.002 (0.031)	Loss 5.2935 (5.3170)	Top-1 acc 9.766 (7.282)	Top-5 acc 21.875 (20.681)	lr 0.04374
Warmup Train [10][460/2134]	Time 0.722 (0.658)	Data 0.002 (0.030)	Loss 5.2619 (5.3163)	Top-1 acc 8.984 (7.278)	Top-5 acc 23.047 (20.687)	lr 0.04373
Warmup Train [10][470/2134]	Time 0.614 (0.659)	Data 0.002 (0.030)	Loss 5.3863 (5.3169)	Top-1 acc 7.422 (7.281)	Top-5 acc 16.797 (20.691)	lr 0.04373
Warmup Train [10][480/2134]	Time 0.659 (0.658)	Data 0.002 (0.029)	Loss 5.3399 (5.3161)	Top-1 acc 5.859 (7.288)	Top-5 acc 23.828 (20.721)	lr 0.04372
Warmup Train [10][490/2134]	Time 0.711 (0.658)	Data 0.002 (0.029)	Loss 5.1377 (5.3150)	Top-1 acc 6.250 (7.282)	Top-5 acc 25.391 (20.752)	lr 0.04371
Warmup Train [10][500/2134]	Time 0.631 (0.657)	Data 0.002 (0.028)	Loss 5.2452 (5.3150)	Top-1 acc 9.375 (7.289)	Top-5 acc 24.219 (20.754)	lr 0.04371
Warmup Train [10][510/2134]	Time 0.615 (0.656)	Data 0.002 (0.028)	Loss 5.3552 (5.3155)	Top-1 acc 5.469 (7.290)	Top-5 acc 21.094 (20.753)	lr 0.04370
Warmup Train [10][520/2134]	Time 0.462 (0.655)	Data 0.002 (0.028)	Loss 5.1964 (5.3149)	Top-1 acc 10.156 (7.297)	Top-5 acc 23.828 (20.753)	lr 0.04370
Warmup Train [10][530/2134]	Time 0.680 (0.655)	Data 0.002 (0.027)	Loss 5.3238 (5.3151)	Top-1 acc 8.984 (7.295)	Top-5 acc 22.656 (20.763)	lr 0.04369
Warmup Train [10][540/2134]	Time 0.525 (0.654)	Data 0.002 (0.027)	Loss 5.2681 (5.3151)	Top-1 acc 8.984 (7.293)	Top-5 acc 23.047 (20.777)	lr 0.04368
Warmup Train [10][550/2134]	Time 0.680 (0.653)	Data 0.003 (0.027)	Loss 5.2867 (5.3149)	Top-1 acc 6.250 (7.296)	Top-5 acc 19.531 (20.774)	lr 0.04368
Warmup Train [10][560/2134]	Time 0.594 (0.654)	Data 0.002 (0.026)	Loss 5.2677 (5.3151)	Top-1 acc 8.203 (7.297)	Top-5 acc 23.438 (20.794)	lr 0.04367
Warmup Train [10][570/2134]	Time 0.667 (0.653)	Data 0.002 (0.026)	Loss 5.3011 (5.3150)	Top-1 acc 7.422 (7.301)	Top-5 acc 22.656 (20.806)	lr 0.04367
Warmup Train [10][580/2134]	Time 0.651 (0.653)	Data 0.002 (0.026)	Loss 5.3793 (5.3148)	Top-1 acc 7.422 (7.327)	Top-5 acc 18.750 (20.804)	lr 0.04366
Warmup Train [10][590/2134]	Time 0.438 (0.652)	Data 0.002 (0.025)	Loss 5.2725 (5.3145)	Top-1 acc 10.938 (7.346)	Top-5 acc 25.000 (20.817)	lr 0.04365
Warmup Train [10][600/2134]	Time 0.528 (0.651)	Data 0.002 (0.025)	Loss 5.2798 (5.3139)	Top-1 acc 9.766 (7.359)	Top-5 acc 23.438 (20.839)	lr 0.04365
Warmup Train [10][610/2134]	Time 0.696 (0.651)	Data 0.002 (0.025)	Loss 5.2610 (5.3135)	Top-1 acc 7.812 (7.361)	Top-5 acc 19.531 (20.836)	lr 0.04364
Warmup Train [10][620/2134]	Time 0.598 (0.650)	Data 0.002 (0.025)	Loss 5.3619 (5.3134)	Top-1 acc 4.688 (7.357)	Top-5 acc 16.016 (20.847)	lr 0.04363
Warmup Train [10][630/2134]	Time 0.756 (0.649)	Data 0.002 (0.024)	Loss 5.1483 (5.3129)	Top-1 acc 10.547 (7.371)	Top-5 acc 24.609 (20.850)	lr 0.04363
Warmup Train [10][640/2134]	Time 0.410 (0.648)	Data 0.002 (0.024)	Loss 5.2768 (5.3122)	Top-1 acc 9.766 (7.385)	Top-5 acc 21.484 (20.868)	lr 0.04362
Warmup Train [10][650/2134]	Time 0.446 (0.647)	Data 0.002 (0.024)	Loss 5.3675 (5.3119)	Top-1 acc 7.422 (7.400)	Top-5 acc 17.578 (20.875)	lr 0.04362
Warmup Train [10][660/2134]	Time 0.603 (0.649)	Data 0.002 (0.024)	Loss 5.3926 (5.3117)	Top-1 acc 7.812 (7.396)	Top-5 acc 17.969 (20.875)	lr 0.04361
Warmup Train [10][670/2134]	Time 0.441 (0.648)	Data 0.002 (0.024)	Loss 5.3465 (5.3121)	Top-1 acc 10.156 (7.403)	Top-5 acc 22.266 (20.870)	lr 0.04360
Warmup Train [10][680/2134]	Time 0.685 (0.648)	Data 0.002 (0.023)	Loss 5.1949 (5.3118)	Top-1 acc 9.375 (7.405)	Top-5 acc 25.000 (20.891)	lr 0.04360
Warmup Train [10][690/2134]	Time 0.650 (0.647)	Data 0.002 (0.023)	Loss 5.3351 (5.3116)	Top-1 acc 8.594 (7.407)	Top-5 acc 22.656 (20.908)	lr 0.04359
Warmup Train [10][700/2134]	Time 0.634 (0.647)	Data 0.002 (0.023)	Loss 5.3832 (5.3112)	Top-1 acc 7.031 (7.416)	Top-5 acc 20.312 (20.907)	lr 0.04359
Warmup Train [10][710/2134]	Time 0.543 (0.647)	Data 0.002 (0.023)	Loss 5.3576 (5.3109)	Top-1 acc 5.859 (7.422)	Top-5 acc 19.922 (20.926)	lr 0.04358
Warmup Train [10][720/2134]	Time 0.675 (0.647)	Data 0.003 (0.022)	Loss 5.2484 (5.3107)	Top-1 acc 8.984 (7.417)	Top-5 acc 21.094 (20.930)	lr 0.04357
Warmup Train [10][730/2134]	Time 0.483 (0.646)	Data 0.003 (0.022)	Loss 5.3127 (5.3107)	Top-1 acc 9.766 (7.411)	Top-5 acc 23.438 (20.925)	lr 0.04357
Warmup Train [10][740/2134]	Time 0.499 (0.646)	Data 0.002 (0.022)	Loss 5.3611 (5.3108)	Top-1 acc 5.859 (7.399)	Top-5 acc 21.094 (20.923)	lr 0.04356
Warmup Train [10][750/2134]	Time 0.714 (0.647)	Data 0.002 (0.022)	Loss 5.2362 (5.3109)	Top-1 acc 6.641 (7.400)	Top-5 acc 23.047 (20.913)	lr 0.04356
Warmup Train [10][760/2134]	Time 0.651 (0.647)	Data 0.002 (0.022)	Loss 5.2976 (5.3111)	Top-1 acc 7.422 (7.412)	Top-5 acc 20.312 (20.912)	lr 0.04355
Warmup Train [10][770/2134]	Time 0.605 (0.646)	Data 0.003 (0.021)	Loss 5.2657 (5.3113)	Top-1 acc 9.766 (7.413)	Top-5 acc 24.609 (20.918)	lr 0.04354
Warmup Train [10][780/2134]	Time 0.567 (0.646)	Data 0.002 (0.021)	Loss 5.2795 (5.3115)	Top-1 acc 6.641 (7.414)	Top-5 acc 22.266 (20.901)	lr 0.04354
Warmup Train [10][790/2134]	Time 0.636 (0.645)	Data 0.002 (0.021)	Loss 5.3163 (5.3114)	Top-1 acc 5.469 (7.407)	Top-5 acc 19.922 (20.897)	lr 0.04353
Warmup Train [10][800/2134]	Time 0.595 (0.645)	Data 0.002 (0.021)	Loss 5.3156 (5.3113)	Top-1 acc 5.859 (7.409)	Top-5 acc 17.188 (20.894)	lr 0.04352
Warmup Train [10][810/2134]	Time 0.584 (0.644)	Data 0.002 (0.021)	Loss 5.2321 (5.3110)	Top-1 acc 9.766 (7.404)	Top-5 acc 25.391 (20.899)	lr 0.04352
Warmup Train [10][820/2134]	Time 0.467 (0.643)	Data 0.002 (0.020)	Loss 5.3461 (5.3105)	Top-1 acc 5.469 (7.399)	Top-5 acc 18.750 (20.904)	lr 0.04351
Warmup Train [10][830/2134]	Time 0.653 (0.643)	Data 0.002 (0.020)	Loss 5.0969 (5.3098)	Top-1 acc 7.812 (7.407)	Top-5 acc 21.875 (20.921)	lr 0.04351
Warmup Train [10][840/2134]	Time 0.587 (0.643)	Data 0.002 (0.020)	Loss 5.3643 (5.3095)	Top-1 acc 7.031 (7.408)	Top-5 acc 23.438 (20.933)	lr 0.04350
Warmup Train [10][850/2134]	Time 0.469 (0.644)	Data 0.002 (0.020)	Loss 5.3154 (5.3090)	Top-1 acc 9.375 (7.416)	Top-5 acc 21.484 (20.943)	lr 0.04349
Warmup Train [10][860/2134]	Time 0.602 (0.644)	Data 0.002 (0.020)	Loss 5.1545 (5.3090)	Top-1 acc 8.984 (7.428)	Top-5 acc 22.656 (20.950)	lr 0.04349
Warmup Train [10][870/2134]	Time 0.677 (0.644)	Data 0.003 (0.020)	Loss 5.3675 (5.3086)	Top-1 acc 6.250 (7.434)	Top-5 acc 15.625 (20.964)	lr 0.04348
Warmup Train [10][880/2134]	Time 0.629 (0.644)	Data 0.003 (0.020)	Loss 5.2123 (5.3080)	Top-1 acc 11.328 (7.448)	Top-5 acc 23.828 (20.978)	lr 0.04347
Warmup Train [10][890/2134]	Time 0.688 (0.644)	Data 0.002 (0.020)	Loss 5.3761 (5.3079)	Top-1 acc 7.812 (7.449)	Top-5 acc 19.922 (20.977)	lr 0.04347
Warmup Train [10][900/2134]	Time 0.731 (0.643)	Data 0.002 (0.019)	Loss 5.3113 (5.3077)	Top-1 acc 7.812 (7.450)	Top-5 acc 23.438 (20.985)	lr 0.04346
Warmup Train [10][910/2134]	Time 0.484 (0.643)	Data 0.002 (0.019)	Loss 5.2725 (5.3076)	Top-1 acc 6.250 (7.454)	Top-5 acc 21.875 (20.989)	lr 0.04346
Warmup Train [10][920/2134]	Time 0.667 (0.643)	Data 0.002 (0.019)	Loss 5.3839 (5.3074)	Top-1 acc 6.250 (7.452)	Top-5 acc 16.797 (20.988)	lr 0.04345
Warmup Train [10][930/2134]	Time 0.677 (0.642)	Data 0.002 (0.019)	Loss 5.2595 (5.3074)	Top-1 acc 6.250 (7.460)	Top-5 acc 20.312 (20.997)	lr 0.04344
Warmup Train [10][940/2134]	Time 0.696 (0.643)	Data 0.003 (0.019)	Loss 5.2089 (5.3070)	Top-1 acc 10.938 (7.463)	Top-5 acc 22.656 (21.003)	lr 0.04344
Warmup Train [10][950/2134]	Time 0.660 (0.643)	Data 0.002 (0.019)	Loss 5.2352 (5.3068)	Top-1 acc 7.422 (7.468)	Top-5 acc 24.219 (21.005)	lr 0.04343
Warmup Train [10][960/2134]	Time 0.687 (0.642)	Data 0.003 (0.018)	Loss 5.4327 (5.3066)	Top-1 acc 6.641 (7.465)	Top-5 acc 17.188 (20.997)	lr 0.04343
Warmup Train [10][970/2134]	Time 0.658 (0.642)	Data 0.002 (0.018)	Loss 5.2811 (5.3064)	Top-1 acc 8.203 (7.471)	Top-5 acc 18.750 (21.008)	lr 0.04342
Warmup Train [10][980/2134]	Time 0.641 (0.642)	Data 0.002 (0.018)	Loss 5.3255 (5.3061)	Top-1 acc 6.250 (7.472)	Top-5 acc 23.438 (21.021)	lr 0.04341
Warmup Train [10][990/2134]	Time 0.695 (0.642)	Data 0.003 (0.018)	Loss 5.2352 (5.3062)	Top-1 acc 7.422 (7.463)	Top-5 acc 22.266 (21.018)	lr 0.04341
Warmup Train [10][1000/2134]	Time 0.695 (0.641)	Data 0.002 (0.018)	Loss 5.3965 (5.3062)	Top-1 acc 7.422 (7.460)	Top-5 acc 18.750 (21.016)	lr 0.04340
Warmup Train [10][1010/2134]	Time 0.626 (0.641)	Data 0.002 (0.018)	Loss 5.3226 (5.3059)	Top-1 acc 6.641 (7.465)	Top-5 acc 19.141 (21.023)	lr 0.04339
Warmup Train [10][1020/2134]	Time 0.439 (0.640)	Data 0.002 (0.018)	Loss 5.1975 (5.3060)	Top-1 acc 7.031 (7.461)	Top-5 acc 24.219 (21.028)	lr 0.04339
Warmup Train [10][1030/2134]	Time 0.545 (0.640)	Data 0.002 (0.018)	Loss 5.2416 (5.3059)	Top-1 acc 8.594 (7.458)	Top-5 acc 21.875 (21.024)	lr 0.04338
Warmup Train [10][1040/2134]	Time 0.547 (0.641)	Data 0.002 (0.018)	Loss 5.1773 (5.3055)	Top-1 acc 9.375 (7.468)	Top-5 acc 23.047 (21.034)	lr 0.04338
Warmup Train [10][1050/2134]	Time 0.460 (0.641)	Data 0.002 (0.018)	Loss 5.2910 (5.3052)	Top-1 acc 5.469 (7.470)	Top-5 acc 21.094 (21.038)	lr 0.04337
Warmup Train [10][1060/2134]	Time 0.679 (0.640)	Data 0.002 (0.018)	Loss 5.4193 (5.3052)	Top-1 acc 8.594 (7.472)	Top-5 acc 19.922 (21.041)	lr 0.04336
Warmup Train [10][1070/2134]	Time 0.646 (0.640)	Data 0.002 (0.017)	Loss 5.2139 (5.3051)	Top-1 acc 6.641 (7.468)	Top-5 acc 22.656 (21.042)	lr 0.04336
Warmup Train [10][1080/2134]	Time 0.767 (0.640)	Data 0.005 (0.017)	Loss 5.2894 (5.3053)	Top-1 acc 6.250 (7.468)	Top-5 acc 17.188 (21.024)	lr 0.04335
Warmup Train [10][1090/2134]	Time 0.589 (0.640)	Data 0.003 (0.017)	Loss 5.1362 (5.3050)	Top-1 acc 7.812 (7.469)	Top-5 acc 22.656 (21.038)	lr 0.04334
Warmup Train [10][1100/2134]	Time 0.498 (0.639)	Data 0.002 (0.017)	Loss 5.3081 (5.3047)	Top-1 acc 8.203 (7.473)	Top-5 acc 23.828 (21.043)	lr 0.04334
Warmup Train [10][1110/2134]	Time 0.614 (0.639)	Data 0.002 (0.017)	Loss 5.2196 (5.3042)	Top-1 acc 7.422 (7.478)	Top-5 acc 21.094 (21.051)	lr 0.04333
Warmup Train [10][1120/2134]	Time 0.796 (0.639)	Data 0.002 (0.017)	Loss 5.1295 (5.3039)	Top-1 acc 8.594 (7.480)	Top-5 acc 21.094 (21.054)	lr 0.04333
Warmup Train [10][1130/2134]	Time 0.683 (0.640)	Data 0.002 (0.017)	Loss 5.3229 (5.3038)	Top-1 acc 7.031 (7.478)	Top-5 acc 17.969 (21.047)	lr 0.04332
Warmup Train [10][1140/2134]	Time 0.781 (0.640)	Data 0.002 (0.017)	Loss 5.2179 (5.3034)	Top-1 acc 7.031 (7.478)	Top-5 acc 22.656 (21.050)	lr 0.04331
Warmup Train [10][1150/2134]	Time 0.577 (0.639)	Data 0.002 (0.017)	Loss 5.4058 (5.3034)	Top-1 acc 7.031 (7.479)	Top-5 acc 22.266 (21.049)	lr 0.04331
Warmup Train [10][1160/2134]	Time 0.631 (0.639)	Data 0.002 (0.016)	Loss 5.2834 (5.3031)	Top-1 acc 5.469 (7.482)	Top-5 acc 23.438 (21.068)	lr 0.04330
Warmup Train [10][1170/2134]	Time 0.661 (0.639)	Data 0.004 (0.016)	Loss 5.2495 (5.3030)	Top-1 acc 8.594 (7.479)	Top-5 acc 23.438 (21.070)	lr 0.04329
Warmup Train [10][1180/2134]	Time 0.731 (0.639)	Data 0.004 (0.016)	Loss 5.2815 (5.3029)	Top-1 acc 7.812 (7.481)	Top-5 acc 20.703 (21.073)	lr 0.04329
Warmup Train [10][1190/2134]	Time 0.549 (0.638)	Data 0.002 (0.016)	Loss 5.2562 (5.3024)	Top-1 acc 8.594 (7.484)	Top-5 acc 22.266 (21.084)	lr 0.04328
Warmup Train [10][1200/2134]	Time 0.539 (0.638)	Data 0.003 (0.016)	Loss 5.2611 (5.3022)	Top-1 acc 5.078 (7.483)	Top-5 acc 21.094 (21.085)	lr 0.04328
Warmup Train [10][1210/2134]	Time 0.556 (0.638)	Data 0.002 (0.016)	Loss 5.2147 (5.3022)	Top-1 acc 8.203 (7.486)	Top-5 acc 22.266 (21.080)	lr 0.04327
Warmup Train [10][1220/2134]	Time 0.732 (0.638)	Data 0.002 (0.016)	Loss 5.1599 (5.3020)	Top-1 acc 8.984 (7.490)	Top-5 acc 23.047 (21.087)	lr 0.04326
Warmup Train [10][1230/2134]	Time 0.376 (0.638)	Data 0.002 (0.016)	Loss 5.1784 (5.3017)	Top-1 acc 8.984 (7.494)	Top-5 acc 25.000 (21.100)	lr 0.04326
Warmup Train [10][1240/2134]	Time 0.667 (0.638)	Data 0.002 (0.016)	Loss 5.2437 (5.3015)	Top-1 acc 10.156 (7.494)	Top-5 acc 22.266 (21.108)	lr 0.04325
Warmup Train [10][1250/2134]	Time 0.688 (0.638)	Data 0.002 (0.016)	Loss 5.2943 (5.3014)	Top-1 acc 9.766 (7.504)	Top-5 acc 21.875 (21.116)	lr 0.04324
Warmup Train [10][1260/2134]	Time 0.716 (0.638)	Data 0.002 (0.016)	Loss 5.2703 (5.3012)	Top-1 acc 8.984 (7.500)	Top-5 acc 21.875 (21.112)	lr 0.04324
Warmup Train [10][1270/2134]	Time 0.651 (0.638)	Data 0.002 (0.016)	Loss 5.2064 (5.3009)	Top-1 acc 8.594 (7.500)	Top-5 acc 21.094 (21.124)	lr 0.04323
Warmup Train [10][1280/2134]	Time 0.653 (0.637)	Data 0.002 (0.016)	Loss 5.2795 (5.3002)	Top-1 acc 6.641 (7.510)	Top-5 acc 21.094 (21.136)	lr 0.04322
Warmup Train [10][1290/2134]	Time 0.604 (0.637)	Data 0.003 (0.015)	Loss 5.3498 (5.3000)	Top-1 acc 8.594 (7.514)	Top-5 acc 18.750 (21.144)	lr 0.04322
Warmup Train [10][1300/2134]	Time 0.627 (0.637)	Data 0.002 (0.015)	Loss 5.2216 (5.2995)	Top-1 acc 9.375 (7.522)	Top-5 acc 22.266 (21.151)	lr 0.04321
Warmup Train [10][1310/2134]	Time 0.604 (0.637)	Data 0.002 (0.015)	Loss 5.3222 (5.2993)	Top-1 acc 7.031 (7.522)	Top-5 acc 19.531 (21.159)	lr 0.04321
Warmup Train [10][1320/2134]	Time 0.656 (0.638)	Data 0.002 (0.015)	Loss 5.2568 (5.2994)	Top-1 acc 11.328 (7.526)	Top-5 acc 21.484 (21.161)	lr 0.04320
Warmup Train [10][1330/2134]	Time 0.555 (0.637)	Data 0.002 (0.015)	Loss 5.1045 (5.2988)	Top-1 acc 9.375 (7.535)	Top-5 acc 25.000 (21.178)	lr 0.04319
Warmup Train [10][1340/2134]	Time 0.664 (0.637)	Data 0.002 (0.015)	Loss 5.2943 (5.2987)	Top-1 acc 8.203 (7.537)	Top-5 acc 21.094 (21.179)	lr 0.04319
Warmup Train [10][1350/2134]	Time 0.710 (0.637)	Data 0.002 (0.015)	Loss 5.2384 (5.2985)	Top-1 acc 6.641 (7.539)	Top-5 acc 25.391 (21.190)	lr 0.04318
Warmup Train [10][1360/2134]	Time 0.605 (0.637)	Data 0.002 (0.015)	Loss 5.1655 (5.2981)	Top-1 acc 10.156 (7.545)	Top-5 acc 23.828 (21.209)	lr 0.04317
Warmup Train [10][1370/2134]	Time 0.580 (0.637)	Data 0.002 (0.015)	Loss 5.3284 (5.2978)	Top-1 acc 6.641 (7.549)	Top-5 acc 20.703 (21.214)	lr 0.04317
Warmup Train [10][1380/2134]	Time 0.502 (0.636)	Data 0.002 (0.015)	Loss 5.3289 (5.2976)	Top-1 acc 6.641 (7.550)	Top-5 acc 19.922 (21.220)	lr 0.04316
Warmup Train [10][1390/2134]	Time 0.508 (0.636)	Data 0.003 (0.015)	Loss 5.3078 (5.2973)	Top-1 acc 7.031 (7.552)	Top-5 acc 21.094 (21.224)	lr 0.04316
Warmup Train [10][1400/2134]	Time 0.683 (0.636)	Data 0.002 (0.015)	Loss 5.2725 (5.2971)	Top-1 acc 7.812 (7.551)	Top-5 acc 20.703 (21.228)	lr 0.04315
Warmup Train [10][1410/2134]	Time 0.467 (0.636)	Data 0.002 (0.015)	Loss 5.2698 (5.2972)	Top-1 acc 7.031 (7.551)	Top-5 acc 22.266 (21.234)	lr 0.04314
Warmup Train [10][1420/2134]	Time 0.610 (0.637)	Data 0.002 (0.015)	Loss 5.2546 (5.2968)	Top-1 acc 7.031 (7.557)	Top-5 acc 18.750 (21.242)	lr 0.04314
Warmup Train [10][1430/2134]	Time 0.678 (0.636)	Data 0.002 (0.015)	Loss 5.2727 (5.2965)	Top-1 acc 8.203 (7.561)	Top-5 acc 23.828 (21.250)	lr 0.04313
Warmup Train [10][1440/2134]	Time 0.627 (0.636)	Data 0.002 (0.015)	Loss 5.2611 (5.2965)	Top-1 acc 8.984 (7.563)	Top-5 acc 19.922 (21.247)	lr 0.04312
Warmup Train [10][1450/2134]	Time 0.657 (0.636)	Data 0.003 (0.015)	Loss 5.2069 (5.2960)	Top-1 acc 7.031 (7.563)	Top-5 acc 21.484 (21.253)	lr 0.04312
Warmup Train [10][1460/2134]	Time 0.608 (0.636)	Data 0.002 (0.015)	Loss 5.3172 (5.2960)	Top-1 acc 8.594 (7.569)	Top-5 acc 25.000 (21.263)	lr 0.04311
Warmup Train [10][1470/2134]	Time 0.456 (0.636)	Data 0.002 (0.014)	Loss 5.2541 (5.2957)	Top-1 acc 6.641 (7.564)	Top-5 acc 22.656 (21.263)	lr 0.04310
Warmup Train [10][1480/2134]	Time 0.723 (0.636)	Data 0.002 (0.015)	Loss 5.2799 (5.2957)	Top-1 acc 9.766 (7.567)	Top-5 acc 26.172 (21.274)	lr 0.04310
Warmup Train [10][1490/2134]	Time 0.636 (0.635)	Data 0.002 (0.014)	Loss 5.3401 (5.2955)	Top-1 acc 5.859 (7.566)	Top-5 acc 18.359 (21.282)	lr 0.04309
Warmup Train [10][1500/2134]	Time 0.686 (0.635)	Data 0.002 (0.014)	Loss 5.1828 (5.2949)	Top-1 acc 8.984 (7.574)	Top-5 acc 23.828 (21.298)	lr 0.04309
Warmup Train [10][1510/2134]	Time 0.615 (0.635)	Data 0.002 (0.014)	Loss 5.2863 (5.2949)	Top-1 acc 8.984 (7.573)	Top-5 acc 23.047 (21.298)	lr 0.04308
Warmup Train [10][1520/2134]	Time 0.801 (0.636)	Data 0.003 (0.014)	Loss 5.2922 (5.2947)	Top-1 acc 7.812 (7.578)	Top-5 acc 18.359 (21.300)	lr 0.04307
Warmup Train [10][1530/2134]	Time 0.650 (0.636)	Data 0.002 (0.014)	Loss 5.2324 (5.2943)	Top-1 acc 9.375 (7.583)	Top-5 acc 21.094 (21.311)	lr 0.04307
Warmup Train [10][1540/2134]	Time 0.458 (0.636)	Data 0.003 (0.014)	Loss 5.3886 (5.2945)	Top-1 acc 6.641 (7.579)	Top-5 acc 20.703 (21.309)	lr 0.04306
Warmup Train [10][1550/2134]	Time 0.681 (0.636)	Data 0.002 (0.014)	Loss 5.2362 (5.2944)	Top-1 acc 6.641 (7.585)	Top-5 acc 19.141 (21.313)	lr 0.04305
Warmup Train [10][1560/2134]	Time 0.409 (0.635)	Data 0.002 (0.014)	Loss 5.2717 (5.2941)	Top-1 acc 7.422 (7.585)	Top-5 acc 21.875 (21.315)	lr 0.04305
Warmup Train [10][1570/2134]	Time 0.627 (0.635)	Data 0.002 (0.014)	Loss 5.1129 (5.2938)	Top-1 acc 10.547 (7.592)	Top-5 acc 25.391 (21.324)	lr 0.04304
Warmup Train [10][1580/2134]	Time 0.532 (0.635)	Data 0.002 (0.014)	Loss 5.2801 (5.2936)	Top-1 acc 10.156 (7.598)	Top-5 acc 21.094 (21.332)	lr 0.04303
Warmup Train [10][1590/2134]	Time 0.446 (0.635)	Data 0.002 (0.014)	Loss 5.1119 (5.2934)	Top-1 acc 9.766 (7.601)	Top-5 acc 26.172 (21.334)	lr 0.04303
Warmup Train [10][1600/2134]	Time 0.599 (0.635)	Data 0.002 (0.014)	Loss 5.3460 (5.2935)	Top-1 acc 5.469 (7.599)	Top-5 acc 21.094 (21.333)	lr 0.04302
Warmup Train [10][1610/2134]	Time 0.613 (0.635)	Data 0.002 (0.014)	Loss 5.2043 (5.2933)	Top-1 acc 6.641 (7.603)	Top-5 acc 19.531 (21.343)	lr 0.04302
Warmup Train [10][1620/2134]	Time 0.781 (0.635)	Data 0.002 (0.014)	Loss 5.2519 (5.2931)	Top-1 acc 5.859 (7.605)	Top-5 acc 17.188 (21.342)	lr 0.04301
Warmup Train [10][1630/2134]	Time 0.417 (0.635)	Data 0.003 (0.014)	Loss 5.2964 (5.2930)	Top-1 acc 8.594 (7.607)	Top-5 acc 20.312 (21.339)	lr 0.04300
Warmup Train [10][1640/2134]	Time 0.479 (0.635)	Data 0.002 (0.014)	Loss 5.2297 (5.2929)	Top-1 acc 6.641 (7.613)	Top-5 acc 22.266 (21.344)	lr 0.04300
Warmup Train [10][1650/2134]	Time 0.819 (0.635)	Data 0.002 (0.014)	Loss 5.3053 (5.2926)	Top-1 acc 6.641 (7.614)	Top-5 acc 19.141 (21.344)	lr 0.04299
Warmup Train [10][1660/2134]	Time 0.626 (0.635)	Data 0.002 (0.014)	Loss 5.3103 (5.2926)	Top-1 acc 9.375 (7.613)	Top-5 acc 20.312 (21.341)	lr 0.04298
Warmup Train [10][1670/2134]	Time 0.643 (0.634)	Data 0.002 (0.014)	Loss 5.3192 (5.2923)	Top-1 acc 9.766 (7.621)	Top-5 acc 21.094 (21.351)	lr 0.04298
Warmup Train [10][1680/2134]	Time 0.691 (0.635)	Data 0.002 (0.014)	Loss 5.2415 (5.2916)	Top-1 acc 7.031 (7.623)	Top-5 acc 21.875 (21.364)	lr 0.04297
Warmup Train [10][1690/2134]	Time 0.648 (0.634)	Data 0.002 (0.014)	Loss 5.2397 (5.2915)	Top-1 acc 9.766 (7.624)	Top-5 acc 21.875 (21.361)	lr 0.04296
Warmup Train [10][1700/2134]	Time 0.790 (0.634)	Data 0.002 (0.013)	Loss 5.1950 (5.2909)	Top-1 acc 7.422 (7.628)	Top-5 acc 25.391 (21.381)	lr 0.04296
Warmup Train [10][1710/2134]	Time 0.606 (0.635)	Data 0.002 (0.013)	Loss 5.1558 (5.2904)	Top-1 acc 10.156 (7.628)	Top-5 acc 26.562 (21.391)	lr 0.04295
Warmup Train [10][1720/2134]	Time 0.703 (0.635)	Data 0.002 (0.013)	Loss 5.2073 (5.2903)	Top-1 acc 8.984 (7.625)	Top-5 acc 24.609 (21.395)	lr 0.04295
Warmup Train [10][1730/2134]	Time 0.447 (0.635)	Data 0.002 (0.013)	Loss 5.4549 (5.2903)	Top-1 acc 6.641 (7.623)	Top-5 acc 18.359 (21.396)	lr 0.04294
Warmup Train [10][1740/2134]	Time 0.508 (0.635)	Data 0.002 (0.013)	Loss 5.2895 (5.2902)	Top-1 acc 7.031 (7.625)	Top-5 acc 17.188 (21.401)	lr 0.04293
Warmup Train [10][1750/2134]	Time 0.682 (0.635)	Data 0.002 (0.013)	Loss 5.3235 (5.2899)	Top-1 acc 7.031 (7.623)	Top-5 acc 19.531 (21.401)	lr 0.04293
Warmup Train [10][1760/2134]	Time 0.829 (0.634)	Data 0.002 (0.013)	Loss 5.2909 (5.2899)	Top-1 acc 8.203 (7.623)	Top-5 acc 20.312 (21.398)	lr 0.04292
Warmup Train [10][1770/2134]	Time 0.688 (0.634)	Data 0.002 (0.013)	Loss 5.0207 (5.2896)	Top-1 acc 8.594 (7.626)	Top-5 acc 26.953 (21.408)	lr 0.04291
Warmup Train [10][1780/2134]	Time 0.577 (0.634)	Data 0.002 (0.013)	Loss 5.2794 (5.2891)	Top-1 acc 7.812 (7.630)	Top-5 acc 22.656 (21.421)	lr 0.04291
Warmup Train [10][1790/2134]	Time 0.713 (0.634)	Data 0.002 (0.013)	Loss 5.2367 (5.2889)	Top-1 acc 8.203 (7.636)	Top-5 acc 18.750 (21.427)	lr 0.04290
Warmup Train [10][1800/2134]	Time 0.546 (0.634)	Data 0.002 (0.013)	Loss 5.2460 (5.2887)	Top-1 acc 8.594 (7.641)	Top-5 acc 22.656 (21.435)	lr 0.04289
Warmup Train [10][1810/2134]	Time 0.490 (0.635)	Data 0.002 (0.013)	Loss 5.2786 (5.2888)	Top-1 acc 8.984 (7.642)	Top-5 acc 21.484 (21.432)	lr 0.04289
Warmup Train [10][1820/2134]	Time 0.502 (0.635)	Data 0.002 (0.013)	Loss 5.1305 (5.2887)	Top-1 acc 7.422 (7.646)	Top-5 acc 24.219 (21.433)	lr 0.04288
Warmup Train [10][1830/2134]	Time 0.590 (0.635)	Data 0.002 (0.013)	Loss 5.1965 (5.2884)	Top-1 acc 11.328 (7.648)	Top-5 acc 23.828 (21.440)	lr 0.04287
Warmup Train [10][1840/2134]	Time 0.610 (0.634)	Data 0.002 (0.013)	Loss 5.3079 (5.2884)	Top-1 acc 6.641 (7.650)	Top-5 acc 18.750 (21.444)	lr 0.04287
Warmup Train [10][1850/2134]	Time 0.709 (0.634)	Data 0.002 (0.013)	Loss 5.3128 (5.2881)	Top-1 acc 8.594 (7.653)	Top-5 acc 21.094 (21.445)	lr 0.04286
Warmup Train [10][1860/2134]	Time 0.628 (0.634)	Data 0.003 (0.013)	Loss 5.2796 (5.2878)	Top-1 acc 8.594 (7.655)	Top-5 acc 23.047 (21.453)	lr 0.04286
Warmup Train [10][1870/2134]	Time 0.603 (0.634)	Data 0.002 (0.013)	Loss 5.1590 (5.2876)	Top-1 acc 8.984 (7.655)	Top-5 acc 20.703 (21.459)	lr 0.04285
Warmup Train [10][1880/2134]	Time 0.583 (0.634)	Data 0.002 (0.013)	Loss 5.2944 (5.2875)	Top-1 acc 7.812 (7.655)	Top-5 acc 20.703 (21.466)	lr 0.04284
Warmup Train [10][1890/2134]	Time 0.753 (0.634)	Data 0.002 (0.013)	Loss 5.2232 (5.2872)	Top-1 acc 9.375 (7.657)	Top-5 acc 23.828 (21.472)	lr 0.04284
Warmup Train [10][1900/2134]	Time 1.497 (0.634)	Data 0.002 (0.013)	Loss 5.2504 (5.2871)	Top-1 acc 10.156 (7.655)	Top-5 acc 23.047 (21.474)	lr 0.04283
Warmup Train [10][1910/2134]	Time 0.703 (0.634)	Data 0.002 (0.013)	Loss 5.3191 (5.2868)	Top-1 acc 7.812 (7.658)	Top-5 acc 22.656 (21.482)	lr 0.04282
Warmup Train [10][1920/2134]	Time 0.792 (0.634)	Data 0.002 (0.013)	Loss 5.1701 (5.2864)	Top-1 acc 8.594 (7.663)	Top-5 acc 19.141 (21.491)	lr 0.04282
Warmup Train [10][1930/2134]	Time 0.688 (0.634)	Data 0.002 (0.013)	Loss 5.3173 (5.2861)	Top-1 acc 5.078 (7.667)	Top-5 acc 19.531 (21.500)	lr 0.04281
Warmup Train [10][1940/2134]	Time 0.530 (0.634)	Data 0.002 (0.013)	Loss 5.2335 (5.2861)	Top-1 acc 8.594 (7.666)	Top-5 acc 24.609 (21.504)	lr 0.04280
Warmup Train [10][1950/2134]	Time 0.633 (0.634)	Data 0.003 (0.013)	Loss 5.3034 (5.2858)	Top-1 acc 8.594 (7.674)	Top-5 acc 19.922 (21.513)	lr 0.04280
Warmup Train [10][1960/2134]	Time 0.637 (0.634)	Data 0.002 (0.013)	Loss 5.2564 (5.2855)	Top-1 acc 8.594 (7.680)	Top-5 acc 21.484 (21.524)	lr 0.04279
Warmup Train [10][1970/2134]	Time 0.461 (0.634)	Data 0.002 (0.013)	Loss 5.2439 (5.2851)	Top-1 acc 8.984 (7.682)	Top-5 acc 22.266 (21.529)	lr 0.04278
Warmup Train [10][1980/2134]	Time 0.591 (0.634)	Data 0.004 (0.013)	Loss 5.2254 (5.2847)	Top-1 acc 9.766 (7.684)	Top-5 acc 25.781 (21.542)	lr 0.04278
Warmup Train [10][1990/2134]	Time 0.543 (0.633)	Data 0.002 (0.013)	Loss 5.1058 (5.2844)	Top-1 acc 9.766 (7.688)	Top-5 acc 22.266 (21.550)	lr 0.04277
Warmup Train [10][2000/2134]	Time 0.626 (0.634)	Data 0.002 (0.013)	Loss 5.1321 (5.2841)	Top-1 acc 10.156 (7.690)	Top-5 acc 27.344 (21.554)	lr 0.04277
Warmup Train [10][2010/2134]	Time 0.717 (0.634)	Data 0.002 (0.013)	Loss 5.2972 (5.2841)	Top-1 acc 6.250 (7.692)	Top-5 acc 21.875 (21.559)	lr 0.04276
Warmup Train [10][2020/2134]	Time 0.545 (0.634)	Data 0.002 (0.012)	Loss 5.1539 (5.2839)	Top-1 acc 8.984 (7.697)	Top-5 acc 25.000 (21.563)	lr 0.04275
Warmup Train [10][2030/2134]	Time 0.497 (0.634)	Data 0.002 (0.012)	Loss 5.2244 (5.2839)	Top-1 acc 11.719 (7.697)	Top-5 acc 24.219 (21.560)	lr 0.04275
Warmup Train [10][2040/2134]	Time 0.498 (0.634)	Data 0.002 (0.012)	Loss 5.0955 (5.2836)	Top-1 acc 9.766 (7.697)	Top-5 acc 26.562 (21.562)	lr 0.04274
Warmup Train [10][2050/2134]	Time 0.623 (0.634)	Data 0.002 (0.012)	Loss 5.3560 (5.2833)	Top-1 acc 5.469 (7.702)	Top-5 acc 15.234 (21.566)	lr 0.04273
Warmup Train [10][2060/2134]	Time 0.575 (0.633)	Data 0.002 (0.012)	Loss 5.1642 (5.2829)	Top-1 acc 10.938 (7.705)	Top-5 acc 24.609 (21.572)	lr 0.04273
Warmup Train [10][2070/2134]	Time 0.696 (0.633)	Data 0.001 (0.012)	Loss 5.2010 (5.2827)	Top-1 acc 9.375 (7.709)	Top-5 acc 27.734 (21.576)	lr 0.04272
Warmup Train [10][2080/2134]	Time 0.512 (0.633)	Data 0.000 (0.012)	Loss 5.3227 (5.2827)	Top-1 acc 7.422 (7.712)	Top-5 acc 22.266 (21.580)	lr 0.04271
Warmup Train [10][2090/2134]	Time 0.647 (0.633)	Data 0.000 (0.012)	Loss 5.3218 (5.2825)	Top-1 acc 8.594 (7.716)	Top-5 acc 18.359 (21.581)	lr 0.04271
Warmup Train [10][2100/2134]	Time 1.435 (0.633)	Data 0.000 (0.012)	Loss 5.3225 (5.2823)	Top-1 acc 6.250 (7.723)	Top-5 acc 19.141 (21.585)	lr 0.04270
Warmup Train [10][2110/2134]	Time 0.599 (0.633)	Data 0.000 (0.012)	Loss 5.2710 (5.2820)	Top-1 acc 7.031 (7.726)	Top-5 acc 21.094 (21.591)	lr 0.04269
Warmup Train [10][2120/2134]	Time 0.550 (0.633)	Data 0.000 (0.012)	Loss 5.1601 (5.2816)	Top-1 acc 7.812 (7.730)	Top-5 acc 25.391 (21.597)	lr 0.04269
Warmup Train [10][2130/2134]	Time 0.600 (0.633)	Data 0.000 (0.012)	Loss 5.3759 (5.2816)	Top-1 acc 3.906 (7.728)	Top-5 acc 19.141 (21.601)	lr 0.04268
Warmup Train [10][2134/2134]	Time 0.598 (0.632)	Data 0.000 (0.012)	Loss 5.0033 (5.2814)	Top-1 acc 12.299 (7.729)	Top-5 acc 26.738 (21.603)	lr 0.04268
==========Warmup Valid [10/40]	loss 4.616	top-1 acc 10.581	top-5 acc 27.568	Train top-1 7.729	top-5 21.603	flops: 442.4M
Warmup Train [11][0/2134]	Time 13.048 (13.048)	Data 10.738 (10.738)	Loss 5.1241 (5.1241)	Top-1 acc 12.109 (12.109)	Top-5 acc 26.953 (26.953)	lr 0.04268
Warmup Train [11][10/2134]	Time 0.718 (1.950)	Data 0.003 (0.986)	Loss 5.3162 (5.2542)	Top-1 acc 7.031 (8.203)	Top-5 acc 19.531 (22.017)	lr 0.04267
Warmup Train [11][20/2134]	Time 0.694 (1.322)	Data 0.002 (0.518)	Loss 5.3310 (5.2504)	Top-1 acc 7.031 (8.203)	Top-5 acc 21.484 (23.065)	lr 0.04266
Warmup Train [11][30/2134]	Time 0.542 (1.088)	Data 0.002 (0.352)	Loss 5.2020 (5.2477)	Top-1 acc 9.766 (8.291)	Top-5 acc 23.047 (22.896)	lr 0.04266
Warmup Train [11][40/2134]	Time 0.654 (1.006)	Data 0.003 (0.269)	Loss 5.1496 (5.2434)	Top-1 acc 6.250 (8.222)	Top-5 acc 23.438 (22.999)	lr 0.04265
Warmup Train [11][50/2134]	Time 0.428 (0.927)	Data 0.002 (0.217)	Loss 5.0894 (5.2446)	Top-1 acc 12.109 (8.341)	Top-5 acc 24.609 (22.541)	lr 0.04265
Warmup Train [11][60/2134]	Time 0.717 (0.880)	Data 0.002 (0.185)	Loss 5.1454 (5.2481)	Top-1 acc 8.594 (8.222)	Top-5 acc 26.172 (22.471)	lr 0.04264
Warmup Train [11][70/2134]	Time 0.458 (0.848)	Data 0.002 (0.159)	Loss 5.3806 (5.2490)	Top-1 acc 8.203 (8.247)	Top-5 acc 18.750 (22.365)	lr 0.04263
Warmup Train [11][80/2134]	Time 0.543 (0.822)	Data 0.002 (0.142)	Loss 5.1908 (5.2488)	Top-1 acc 11.719 (8.309)	Top-5 acc 22.266 (22.343)	lr 0.04263
Warmup Train [11][90/2134]	Time 0.655 (0.804)	Data 0.002 (0.128)	Loss 5.2375 (5.2469)	Top-1 acc 10.938 (8.272)	Top-5 acc 25.781 (22.489)	lr 0.04262
Warmup Train [11][100/2134]	Time 0.612 (0.787)	Data 0.003 (0.116)	Loss 5.3152 (5.2469)	Top-1 acc 7.031 (8.292)	Top-5 acc 23.828 (22.536)	lr 0.04261
Warmup Train [11][110/2134]	Time 0.841 (0.773)	Data 0.002 (0.106)	Loss 5.3525 (5.2448)	Top-1 acc 6.250 (8.333)	Top-5 acc 17.188 (22.547)	lr 0.04261
Warmup Train [11][120/2134]	Time 0.724 (0.761)	Data 0.002 (0.098)	Loss 5.2452 (5.2441)	Top-1 acc 5.859 (8.384)	Top-5 acc 21.875 (22.614)	lr 0.04260
Warmup Train [11][130/2134]	Time 0.555 (0.749)	Data 0.002 (0.091)	Loss 5.3942 (5.2447)	Top-1 acc 7.812 (8.355)	Top-5 acc 16.797 (22.507)	lr 0.04259
Warmup Train [11][140/2134]	Time 0.495 (0.747)	Data 0.002 (0.085)	Loss 5.3595 (5.2440)	Top-1 acc 7.812 (8.433)	Top-5 acc 18.750 (22.532)	lr 0.04259
Warmup Train [11][150/2134]	Time 0.551 (0.739)	Data 0.002 (0.080)	Loss 5.3906 (5.2436)	Top-1 acc 5.469 (8.418)	Top-5 acc 17.969 (22.527)	lr 0.04258
Warmup Train [11][160/2134]	Time 0.468 (0.733)	Data 0.003 (0.076)	Loss 5.2672 (5.2438)	Top-1 acc 7.031 (8.412)	Top-5 acc 18.750 (22.520)	lr 0.04257
Warmup Train [11][170/2134]	Time 0.509 (0.727)	Data 0.002 (0.073)	Loss 5.2025 (5.2427)	Top-1 acc 7.812 (8.402)	Top-5 acc 20.312 (22.540)	lr 0.04257
Warmup Train [11][180/2134]	Time 0.408 (0.721)	Data 0.002 (0.070)	Loss 5.3950 (5.2422)	Top-1 acc 8.594 (8.397)	Top-5 acc 19.531 (22.501)	lr 0.04256
Warmup Train [11][190/2134]	Time 0.727 (0.717)	Data 0.002 (0.067)	Loss 5.1355 (5.2406)	Top-1 acc 8.594 (8.379)	Top-5 acc 23.047 (22.521)	lr 0.04255
Warmup Train [11][200/2134]	Time 0.566 (0.711)	Data 0.002 (0.064)	Loss 5.1838 (5.2396)	Top-1 acc 6.641 (8.357)	Top-5 acc 23.438 (22.584)	lr 0.04255
Warmup Train [11][210/2134]	Time 0.540 (0.707)	Data 0.002 (0.061)	Loss 5.2185 (5.2379)	Top-1 acc 10.156 (8.362)	Top-5 acc 22.656 (22.625)	lr 0.04254
Warmup Train [11][220/2134]	Time 0.643 (0.704)	Data 0.002 (0.059)	Loss 5.2541 (5.2397)	Top-1 acc 8.594 (8.368)	Top-5 acc 21.484 (22.612)	lr 0.04253
Warmup Train [11][230/2134]	Time 0.611 (0.699)	Data 0.002 (0.056)	Loss 5.2887 (5.2375)	Top-1 acc 6.250 (8.349)	Top-5 acc 20.703 (22.644)	lr 0.04253
Warmup Train [11][240/2134]	Time 0.689 (0.700)	Data 0.002 (0.054)	Loss 5.2530 (5.2389)	Top-1 acc 11.719 (8.360)	Top-5 acc 21.094 (22.668)	lr 0.04252
Warmup Train [11][250/2134]	Time 0.647 (0.697)	Data 0.002 (0.052)	Loss 5.1674 (5.2389)	Top-1 acc 8.594 (8.374)	Top-5 acc 21.094 (22.669)	lr 0.04251
Warmup Train [11][260/2134]	Time 0.505 (0.694)	Data 0.002 (0.051)	Loss 5.1809 (5.2391)	Top-1 acc 11.328 (8.390)	Top-5 acc 28.125 (22.641)	lr 0.04251
Warmup Train [11][270/2134]	Time 0.722 (0.692)	Data 0.002 (0.049)	Loss 5.3303 (5.2389)	Top-1 acc 7.812 (8.392)	Top-5 acc 19.531 (22.627)	lr 0.04250
Warmup Train [11][280/2134]	Time 0.549 (0.689)	Data 0.004 (0.048)	Loss 5.1575 (5.2380)	Top-1 acc 9.766 (8.413)	Top-5 acc 25.000 (22.634)	lr 0.04249
Warmup Train [11][290/2134]	Time 0.630 (0.687)	Data 0.002 (0.047)	Loss 5.1917 (5.2375)	Top-1 acc 10.547 (8.418)	Top-5 acc 25.000 (22.627)	lr 0.04249
Warmup Train [11][300/2134]	Time 0.611 (0.685)	Data 0.002 (0.045)	Loss 5.1862 (5.2371)	Top-1 acc 5.859 (8.395)	Top-5 acc 22.656 (22.639)	lr 0.04248
Warmup Train [11][310/2134]	Time 0.600 (0.683)	Data 0.002 (0.044)	Loss 5.1941 (5.2369)	Top-1 acc 8.984 (8.381)	Top-5 acc 22.656 (22.627)	lr 0.04247
Warmup Train [11][320/2134]	Time 0.740 (0.681)	Data 0.002 (0.043)	Loss 5.1644 (5.2358)	Top-1 acc 10.547 (8.392)	Top-5 acc 25.781 (22.667)	lr 0.04247
Warmup Train [11][330/2134]	Time 0.547 (0.678)	Data 0.004 (0.042)	Loss 5.2497 (5.2343)	Top-1 acc 9.375 (8.393)	Top-5 acc 22.266 (22.685)	lr 0.04246
Warmup Train [11][340/2134]	Time 0.585 (0.680)	Data 0.002 (0.041)	Loss 5.1734 (5.2331)	Top-1 acc 8.594 (8.398)	Top-5 acc 26.172 (22.733)	lr 0.04246
Warmup Train [11][350/2134]	Time 0.473 (0.678)	Data 0.002 (0.040)	Loss 5.1975 (5.2330)	Top-1 acc 8.203 (8.392)	Top-5 acc 19.141 (22.697)	lr 0.04245
Warmup Train [11][360/2134]	Time 0.667 (0.677)	Data 0.002 (0.039)	Loss 5.3206 (5.2330)	Top-1 acc 8.594 (8.399)	Top-5 acc 19.141 (22.694)	lr 0.04244
Warmup Train [11][370/2134]	Time 0.726 (0.675)	Data 0.003 (0.038)	Loss 5.2543 (5.2328)	Top-1 acc 9.375 (8.421)	Top-5 acc 26.953 (22.733)	lr 0.04244
Warmup Train [11][380/2134]	Time 0.567 (0.674)	Data 0.002 (0.037)	Loss 5.2782 (5.2328)	Top-1 acc 9.375 (8.430)	Top-5 acc 25.391 (22.766)	lr 0.04243
Warmup Train [11][390/2134]	Time 0.717 (0.672)	Data 0.002 (0.037)	Loss 5.2509 (5.2321)	Top-1 acc 7.812 (8.427)	Top-5 acc 22.266 (22.799)	lr 0.04242
Warmup Train [11][400/2134]	Time 0.541 (0.670)	Data 0.002 (0.036)	Loss 5.2466 (5.2313)	Top-1 acc 7.422 (8.445)	Top-5 acc 20.312 (22.823)	lr 0.04242
Warmup Train [11][410/2134]	Time 0.559 (0.669)	Data 0.002 (0.035)	Loss 5.2068 (5.2309)	Top-1 acc 8.594 (8.452)	Top-5 acc 20.312 (22.823)	lr 0.04241
Warmup Train [11][420/2134]	Time 0.654 (0.668)	Data 0.003 (0.034)	Loss 5.1526 (5.2305)	Top-1 acc 11.328 (8.474)	Top-5 acc 26.172 (22.857)	lr 0.04240
Warmup Train [11][430/2134]	Time 0.803 (0.666)	Data 0.002 (0.034)	Loss 5.2283 (5.2303)	Top-1 acc 6.641 (8.483)	Top-5 acc 22.266 (22.879)	lr 0.04240
Warmup Train [11][440/2134]	Time 0.587 (0.667)	Data 0.002 (0.033)	Loss 5.2763 (5.2303)	Top-1 acc 5.859 (8.471)	Top-5 acc 17.969 (22.877)	lr 0.04239
Warmup Train [11][450/2134]	Time 0.607 (0.666)	Data 0.002 (0.032)	Loss 5.1603 (5.2301)	Top-1 acc 8.594 (8.477)	Top-5 acc 22.266 (22.865)	lr 0.04238
Warmup Train [11][460/2134]	Time 0.552 (0.665)	Data 0.002 (0.032)	Loss 5.1687 (5.2298)	Top-1 acc 8.594 (8.488)	Top-5 acc 23.828 (22.889)	lr 0.04238
Warmup Train [11][470/2134]	Time 0.648 (0.663)	Data 0.002 (0.031)	Loss 5.2082 (5.2295)	Top-1 acc 10.547 (8.495)	Top-5 acc 25.391 (22.888)	lr 0.04237
Warmup Train [11][480/2134]	Time 0.830 (0.663)	Data 0.002 (0.031)	Loss 5.2059 (5.2293)	Top-1 acc 10.156 (8.500)	Top-5 acc 20.703 (22.902)	lr 0.04236
Warmup Train [11][490/2134]	Time 0.424 (0.662)	Data 0.004 (0.030)	Loss 5.2232 (5.2285)	Top-1 acc 10.547 (8.497)	Top-5 acc 20.312 (22.915)	lr 0.04236
Warmup Train [11][500/2134]	Time 0.671 (0.661)	Data 0.002 (0.030)	Loss 5.2471 (5.2283)	Top-1 acc 8.984 (8.496)	Top-5 acc 25.781 (22.917)	lr 0.04235
Warmup Train [11][510/2134]	Time 0.603 (0.661)	Data 0.003 (0.030)	Loss 5.1428 (5.2284)	Top-1 acc 8.203 (8.487)	Top-5 acc 23.438 (22.895)	lr 0.04234
Warmup Train [11][520/2134]	Time 0.602 (0.660)	Data 0.002 (0.029)	Loss 5.4045 (5.2287)	Top-1 acc 7.031 (8.495)	Top-5 acc 19.922 (22.895)	lr 0.04234
Warmup Train [11][530/2134]	Time 0.533 (0.659)	Data 0.002 (0.029)	Loss 5.1496 (5.2271)	Top-1 acc 11.328 (8.509)	Top-5 acc 24.609 (22.912)	lr 0.04233
Warmup Train [11][540/2134]	Time 0.547 (0.660)	Data 0.002 (0.029)	Loss 5.0779 (5.2263)	Top-1 acc 9.766 (8.511)	Top-5 acc 26.172 (22.922)	lr 0.04232
Warmup Train [11][550/2134]	Time 0.606 (0.659)	Data 0.002 (0.028)	Loss 5.2307 (5.2262)	Top-1 acc 10.938 (8.511)	Top-5 acc 26.953 (22.938)	lr 0.04232
Warmup Train [11][560/2134]	Time 0.739 (0.659)	Data 0.002 (0.028)	Loss 5.2767 (5.2259)	Top-1 acc 8.984 (8.519)	Top-5 acc 23.047 (22.956)	lr 0.04231
Warmup Train [11][570/2134]	Time 0.782 (0.659)	Data 0.002 (0.028)	Loss 5.1585 (5.2251)	Top-1 acc 8.984 (8.517)	Top-5 acc 26.172 (22.979)	lr 0.04230
Warmup Train [11][580/2134]	Time 0.602 (0.657)	Data 0.003 (0.027)	Loss 5.2187 (5.2250)	Top-1 acc 6.250 (8.510)	Top-5 acc 22.656 (22.954)	lr 0.04230
Warmup Train [11][590/2134]	Time 0.634 (0.656)	Data 0.002 (0.027)	Loss 5.1777 (5.2250)	Top-1 acc 8.594 (8.497)	Top-5 acc 23.047 (22.941)	lr 0.04229
Warmup Train [11][600/2134]	Time 0.537 (0.655)	Data 0.002 (0.027)	Loss 5.2231 (5.2249)	Top-1 acc 10.156 (8.502)	Top-5 acc 21.094 (22.925)	lr 0.04228
Warmup Train [11][610/2134]	Time 0.491 (0.655)	Data 0.002 (0.026)	Loss 5.1724 (5.2247)	Top-1 acc 8.594 (8.504)	Top-5 acc 26.172 (22.933)	lr 0.04228
Warmup Train [11][620/2134]	Time 0.616 (0.654)	Data 0.002 (0.026)	Loss 5.0567 (5.2239)	Top-1 acc 10.938 (8.513)	Top-5 acc 27.734 (22.942)	lr 0.04227
Warmup Train [11][630/2134]	Time 0.813 (0.653)	Data 0.002 (0.026)	Loss 5.1410 (5.2239)	Top-1 acc 7.812 (8.516)	Top-5 acc 24.219 (22.950)	lr 0.04226
Warmup Train [11][640/2134]	Time 0.603 (0.654)	Data 0.002 (0.025)	Loss 5.3040 (5.2245)	Top-1 acc 8.594 (8.510)	Top-5 acc 23.438 (22.926)	lr 0.04226
Warmup Train [11][650/2134]	Time 0.494 (0.653)	Data 0.002 (0.025)	Loss 5.0951 (5.2235)	Top-1 acc 8.984 (8.508)	Top-5 acc 25.781 (22.938)	lr 0.04225
Warmup Train [11][660/2134]	Time 0.675 (0.653)	Data 0.002 (0.025)	Loss 5.0979 (5.2233)	Top-1 acc 7.812 (8.513)	Top-5 acc 25.781 (22.961)	lr 0.04224
Warmup Train [11][670/2134]	Time 0.811 (0.653)	Data 0.002 (0.024)	Loss 5.0791 (5.2238)	Top-1 acc 10.156 (8.507)	Top-5 acc 25.000 (22.939)	lr 0.04224
Warmup Train [11][680/2134]	Time 0.645 (0.652)	Data 0.003 (0.024)	Loss 5.1799 (5.2234)	Top-1 acc 8.594 (8.513)	Top-5 acc 22.266 (22.944)	lr 0.04223
Warmup Train [11][690/2134]	Time 0.433 (0.652)	Data 0.002 (0.024)	Loss 5.1754 (5.2235)	Top-1 acc 8.594 (8.502)	Top-5 acc 20.703 (22.939)	lr 0.04222
Warmup Train [11][700/2134]	Time 0.763 (0.651)	Data 0.002 (0.024)	Loss 5.2894 (5.2234)	Top-1 acc 6.250 (8.496)	Top-5 acc 21.094 (22.956)	lr 0.04222
Warmup Train [11][710/2134]	Time 0.521 (0.651)	Data 0.002 (0.023)	Loss 5.2858 (5.2232)	Top-1 acc 7.031 (8.483)	Top-5 acc 22.266 (22.947)	lr 0.04221
Warmup Train [11][720/2134]	Time 0.706 (0.650)	Data 0.002 (0.023)	Loss 5.3000 (5.2231)	Top-1 acc 7.812 (8.483)	Top-5 acc 19.531 (22.933)	lr 0.04220
Warmup Train [11][730/2134]	Time 0.511 (0.650)	Data 0.003 (0.023)	Loss 5.1944 (5.2230)	Top-1 acc 10.156 (8.479)	Top-5 acc 24.609 (22.937)	lr 0.04220
Warmup Train [11][740/2134]	Time 0.595 (0.651)	Data 0.002 (0.023)	Loss 5.1574 (5.2223)	Top-1 acc 8.984 (8.499)	Top-5 acc 26.562 (22.965)	lr 0.04219
Warmup Train [11][750/2134]	Time 0.583 (0.651)	Data 0.002 (0.023)	Loss 5.3402 (5.2226)	Top-1 acc 6.250 (8.509)	Top-5 acc 20.312 (22.975)	lr 0.04218
Warmup Train [11][760/2134]	Time 0.535 (0.650)	Data 0.002 (0.022)	Loss 5.4473 (5.2224)	Top-1 acc 5.078 (8.527)	Top-5 acc 16.016 (22.988)	lr 0.04218
Warmup Train [11][770/2134]	Time 0.666 (0.650)	Data 0.002 (0.022)	Loss 5.1865 (5.2223)	Top-1 acc 8.594 (8.533)	Top-5 acc 22.266 (22.976)	lr 0.04217
Warmup Train [11][780/2134]	Time 0.596 (0.650)	Data 0.002 (0.022)	Loss 5.2625 (5.2224)	Top-1 acc 6.641 (8.528)	Top-5 acc 22.266 (22.971)	lr 0.04216
Warmup Train [11][790/2134]	Time 0.702 (0.650)	Data 0.002 (0.022)	Loss 5.1369 (5.2214)	Top-1 acc 9.766 (8.536)	Top-5 acc 25.781 (22.993)	lr 0.04216
Warmup Train [11][800/2134]	Time 0.532 (0.649)	Data 0.002 (0.021)	Loss 5.0991 (5.2210)	Top-1 acc 8.984 (8.538)	Top-5 acc 28.125 (23.011)	lr 0.04215
Warmup Train [11][810/2134]	Time 0.347 (0.648)	Data 0.002 (0.021)	Loss 5.2633 (5.2207)	Top-1 acc 12.109 (8.550)	Top-5 acc 21.875 (23.018)	lr 0.04214
Warmup Train [11][820/2134]	Time 0.683 (0.648)	Data 0.002 (0.021)	Loss 5.1395 (5.2206)	Top-1 acc 7.812 (8.547)	Top-5 acc 25.781 (23.013)	lr 0.04214
Warmup Train [11][830/2134]	Time 0.758 (0.647)	Data 0.002 (0.021)	Loss 5.1447 (5.2201)	Top-1 acc 11.328 (8.551)	Top-5 acc 30.078 (23.030)	lr 0.04213
Warmup Train [11][840/2134]	Time 0.671 (0.647)	Data 0.002 (0.021)	Loss 5.2924 (5.2201)	Top-1 acc 6.250 (8.554)	Top-5 acc 22.656 (23.038)	lr 0.04212
Warmup Train [11][850/2134]	Time 0.658 (0.648)	Data 0.002 (0.021)	Loss 5.2223 (5.2199)	Top-1 acc 4.688 (8.553)	Top-5 acc 19.922 (23.039)	lr 0.04212
Warmup Train [11][860/2134]	Time 0.627 (0.647)	Data 0.002 (0.021)	Loss 5.2676 (5.2199)	Top-1 acc 11.328 (8.553)	Top-5 acc 24.219 (23.041)	lr 0.04211
Warmup Train [11][870/2134]	Time 0.642 (0.647)	Data 0.002 (0.020)	Loss 5.0954 (5.2196)	Top-1 acc 8.984 (8.559)	Top-5 acc 25.781 (23.059)	lr 0.04210
Warmup Train [11][880/2134]	Time 0.517 (0.647)	Data 0.002 (0.020)	Loss 5.1344 (5.2192)	Top-1 acc 9.375 (8.557)	Top-5 acc 26.562 (23.068)	lr 0.04210
Warmup Train [11][890/2134]	Time 0.684 (0.647)	Data 0.002 (0.020)	Loss 5.1351 (5.2189)	Top-1 acc 9.766 (8.564)	Top-5 acc 26.562 (23.074)	lr 0.04209
Warmup Train [11][900/2134]	Time 0.500 (0.646)	Data 0.002 (0.020)	Loss 5.1097 (5.2188)	Top-1 acc 8.203 (8.556)	Top-5 acc 24.219 (23.077)	lr 0.04208
Warmup Train [11][910/2134]	Time 0.732 (0.646)	Data 0.002 (0.020)	Loss 5.4155 (5.2189)	Top-1 acc 7.422 (8.554)	Top-5 acc 20.312 (23.070)	lr 0.04208
Warmup Train [11][920/2134]	Time 0.536 (0.645)	Data 0.005 (0.020)	Loss 5.2672 (5.2186)	Top-1 acc 8.203 (8.565)	Top-5 acc 25.781 (23.083)	lr 0.04207
Warmup Train [11][930/2134]	Time 0.662 (0.645)	Data 0.002 (0.020)	Loss 5.1454 (5.2183)	Top-1 acc 12.109 (8.568)	Top-5 acc 25.391 (23.090)	lr 0.04206
Warmup Train [11][940/2134]	Time 0.650 (0.645)	Data 0.002 (0.020)	Loss 5.1724 (5.2182)	Top-1 acc 8.203 (8.574)	Top-5 acc 23.438 (23.097)	lr 0.04206
Warmup Train [11][950/2134]	Time 0.750 (0.646)	Data 0.004 (0.019)	Loss 5.2158 (5.2178)	Top-1 acc 6.641 (8.581)	Top-5 acc 23.438 (23.108)	lr 0.04205
Warmup Train [11][960/2134]	Time 0.663 (0.645)	Data 0.002 (0.019)	Loss 5.1555 (5.2171)	Top-1 acc 9.375 (8.591)	Top-5 acc 21.484 (23.129)	lr 0.04204
Warmup Train [11][970/2134]	Time 0.739 (0.645)	Data 0.002 (0.019)	Loss 5.1913 (5.2166)	Top-1 acc 5.078 (8.594)	Top-5 acc 20.703 (23.147)	lr 0.04204
Warmup Train [11][980/2134]	Time 0.591 (0.645)	Data 0.002 (0.019)	Loss 5.1229 (5.2158)	Top-1 acc 7.812 (8.603)	Top-5 acc 23.828 (23.162)	lr 0.04203
Warmup Train [11][990/2134]	Time 0.641 (0.645)	Data 0.002 (0.019)	Loss 5.1168 (5.2157)	Top-1 acc 11.719 (8.608)	Top-5 acc 24.609 (23.169)	lr 0.04202
Warmup Train [11][1000/2134]	Time 0.494 (0.644)	Data 0.002 (0.019)	Loss 5.1981 (5.2156)	Top-1 acc 9.766 (8.607)	Top-5 acc 25.781 (23.176)	lr 0.04202
Warmup Train [11][1010/2134]	Time 0.769 (0.644)	Data 0.002 (0.019)	Loss 5.2608 (5.2154)	Top-1 acc 7.031 (8.613)	Top-5 acc 19.531 (23.180)	lr 0.04201
Warmup Train [11][1020/2134]	Time 0.800 (0.644)	Data 0.004 (0.018)	Loss 5.0795 (5.2149)	Top-1 acc 7.422 (8.620)	Top-5 acc 22.266 (23.183)	lr 0.04200
Warmup Train [11][1030/2134]	Time 0.602 (0.643)	Data 0.002 (0.018)	Loss 5.2397 (5.2148)	Top-1 acc 6.641 (8.613)	Top-5 acc 21.484 (23.175)	lr 0.04200
Warmup Train [11][1040/2134]	Time 0.635 (0.643)	Data 0.002 (0.018)	Loss 5.2359 (5.2146)	Top-1 acc 8.984 (8.613)	Top-5 acc 23.047 (23.190)	lr 0.04199
Warmup Train [11][1050/2134]	Time 0.711 (0.643)	Data 0.004 (0.018)	Loss 5.2287 (5.2138)	Top-1 acc 10.938 (8.627)	Top-5 acc 25.000 (23.207)	lr 0.04198
Warmup Train [11][1060/2134]	Time 0.500 (0.643)	Data 0.002 (0.018)	Loss 5.3306 (5.2135)	Top-1 acc 8.203 (8.629)	Top-5 acc 21.875 (23.218)	lr 0.04198
Warmup Train [11][1070/2134]	Time 0.653 (0.643)	Data 0.002 (0.018)	Loss 5.1700 (5.2137)	Top-1 acc 10.547 (8.630)	Top-5 acc 26.172 (23.220)	lr 0.04197
Warmup Train [11][1080/2134]	Time 0.499 (0.643)	Data 0.002 (0.018)	Loss 5.2747 (5.2134)	Top-1 acc 7.422 (8.635)	Top-5 acc 17.578 (23.225)	lr 0.04196
Warmup Train [11][1090/2134]	Time 0.659 (0.642)	Data 0.002 (0.018)	Loss 5.2083 (5.2133)	Top-1 acc 8.203 (8.637)	Top-5 acc 24.219 (23.236)	lr 0.04195
Warmup Train [11][1100/2134]	Time 0.581 (0.642)	Data 0.002 (0.018)	Loss 5.2618 (5.2132)	Top-1 acc 8.984 (8.637)	Top-5 acc 21.094 (23.245)	lr 0.04195
Warmup Train [11][1110/2134]	Time 0.717 (0.642)	Data 0.003 (0.018)	Loss 5.2933 (5.2129)	Top-1 acc 8.984 (8.642)	Top-5 acc 21.094 (23.251)	lr 0.04194
Warmup Train [11][1120/2134]	Time 0.566 (0.642)	Data 0.002 (0.018)	Loss 5.0623 (5.2125)	Top-1 acc 13.672 (8.644)	Top-5 acc 30.078 (23.252)	lr 0.04193
Warmup Train [11][1130/2134]	Time 0.615 (0.642)	Data 0.002 (0.017)	Loss 5.1284 (5.2124)	Top-1 acc 10.938 (8.640)	Top-5 acc 25.781 (23.252)	lr 0.04193
Warmup Train [11][1140/2134]	Time 0.707 (0.642)	Data 0.003 (0.017)	Loss 5.3255 (5.2126)	Top-1 acc 5.859 (8.634)	Top-5 acc 23.047 (23.245)	lr 0.04192
Warmup Train [11][1150/2134]	Time 0.602 (0.641)	Data 0.002 (0.017)	Loss 5.1285 (5.2121)	Top-1 acc 10.156 (8.638)	Top-5 acc 24.609 (23.253)	lr 0.04191
Warmup Train [11][1160/2134]	Time 0.525 (0.642)	Data 0.002 (0.017)	Loss 5.0595 (5.2115)	Top-1 acc 9.375 (8.642)	Top-5 acc 26.562 (23.273)	lr 0.04191
Warmup Train [11][1170/2134]	Time 0.604 (0.642)	Data 0.002 (0.017)	Loss 5.3275 (5.2114)	Top-1 acc 6.641 (8.640)	Top-5 acc 19.531 (23.275)	lr 0.04190
Warmup Train [11][1180/2134]	Time 0.576 (0.642)	Data 0.003 (0.017)	Loss 5.2590 (5.2112)	Top-1 acc 8.594 (8.643)	Top-5 acc 23.047 (23.282)	lr 0.04189
Warmup Train [11][1190/2134]	Time 0.644 (0.642)	Data 0.002 (0.017)	Loss 5.1531 (5.2110)	Top-1 acc 10.547 (8.649)	Top-5 acc 22.266 (23.286)	lr 0.04189
Warmup Train [11][1200/2134]	Time 0.525 (0.642)	Data 0.003 (0.017)	Loss 5.2255 (5.2108)	Top-1 acc 8.984 (8.657)	Top-5 acc 23.438 (23.295)	lr 0.04188
Warmup Train [11][1210/2134]	Time 0.703 (0.642)	Data 0.002 (0.017)	Loss 5.1236 (5.2104)	Top-1 acc 8.594 (8.663)	Top-5 acc 26.172 (23.312)	lr 0.04187
Warmup Train [11][1220/2134]	Time 0.564 (0.641)	Data 0.002 (0.017)	Loss 5.0662 (5.2103)	Top-1 acc 7.422 (8.663)	Top-5 acc 27.734 (23.319)	lr 0.04187
Warmup Train [11][1230/2134]	Time 0.641 (0.641)	Data 0.002 (0.017)	Loss 5.2723 (5.2103)	Top-1 acc 8.594 (8.663)	Top-5 acc 23.438 (23.326)	lr 0.04186
Warmup Train [11][1240/2134]	Time 0.682 (0.641)	Data 0.003 (0.016)	Loss 5.0885 (5.2103)	Top-1 acc 11.719 (8.668)	Top-5 acc 28.125 (23.331)	lr 0.04185
Warmup Train [11][1250/2134]	Time 0.762 (0.641)	Data 0.002 (0.016)	Loss 5.0807 (5.2101)	Top-1 acc 8.594 (8.670)	Top-5 acc 26.953 (23.334)	lr 0.04185
Warmup Train [11][1260/2134]	Time 0.635 (0.641)	Data 0.003 (0.016)	Loss 5.1922 (5.2098)	Top-1 acc 11.719 (8.676)	Top-5 acc 22.266 (23.342)	lr 0.04184
Warmup Train [11][1270/2134]	Time 0.730 (0.641)	Data 0.003 (0.016)	Loss 5.1492 (5.2092)	Top-1 acc 9.766 (8.686)	Top-5 acc 25.391 (23.359)	lr 0.04183
Warmup Train [11][1280/2134]	Time 0.765 (0.641)	Data 0.003 (0.016)	Loss 5.2123 (5.2092)	Top-1 acc 7.422 (8.678)	Top-5 acc 22.266 (23.355)	lr 0.04183
Warmup Train [11][1290/2134]	Time 0.642 (0.641)	Data 0.003 (0.016)	Loss 5.1273 (5.2086)	Top-1 acc 10.156 (8.681)	Top-5 acc 24.609 (23.364)	lr 0.04182
Warmup Train [11][1300/2134]	Time 0.666 (0.641)	Data 0.002 (0.016)	Loss 5.1414 (5.2082)	Top-1 acc 12.500 (8.683)	Top-5 acc 27.344 (23.369)	lr 0.04181
Warmup Train [11][1310/2134]	Time 0.864 (0.641)	Data 0.002 (0.016)	Loss 5.1622 (5.2081)	Top-1 acc 7.812 (8.683)	Top-5 acc 24.609 (23.372)	lr 0.04181
Warmup Train [11][1320/2134]	Time 0.777 (0.640)	Data 0.002 (0.016)	Loss 5.1506 (5.2082)	Top-1 acc 10.156 (8.688)	Top-5 acc 26.953 (23.376)	lr 0.04180
Warmup Train [11][1330/2134]	Time 0.551 (0.640)	Data 0.003 (0.016)	Loss 5.1568 (5.2082)	Top-1 acc 9.766 (8.688)	Top-5 acc 25.781 (23.383)	lr 0.04179
Warmup Train [11][1340/2134]	Time 0.429 (0.640)	Data 0.002 (0.016)	Loss 5.1011 (5.2078)	Top-1 acc 9.375 (8.694)	Top-5 acc 25.391 (23.394)	lr 0.04179
Warmup Train [11][1350/2134]	Time 0.591 (0.640)	Data 0.003 (0.016)	Loss 5.2341 (5.2078)	Top-1 acc 8.594 (8.686)	Top-5 acc 21.875 (23.392)	lr 0.04178
Warmup Train [11][1360/2134]	Time 1.771 (0.640)	Data 0.003 (0.015)	Loss 5.2612 (5.2077)	Top-1 acc 7.422 (8.689)	Top-5 acc 21.094 (23.394)	lr 0.04177
Warmup Train [11][1370/2134]	Time 0.657 (0.640)	Data 0.002 (0.015)	Loss 5.2111 (5.2074)	Top-1 acc 8.594 (8.687)	Top-5 acc 25.000 (23.400)	lr 0.04176
Warmup Train [11][1380/2134]	Time 0.699 (0.640)	Data 0.002 (0.015)	Loss 5.2666 (5.2071)	Top-1 acc 4.688 (8.687)	Top-5 acc 18.359 (23.404)	lr 0.04176
Warmup Train [11][1390/2134]	Time 0.629 (0.640)	Data 0.002 (0.015)	Loss 5.1021 (5.2071)	Top-1 acc 10.156 (8.689)	Top-5 acc 23.438 (23.405)	lr 0.04175
Warmup Train [11][1400/2134]	Time 0.767 (0.640)	Data 0.002 (0.015)	Loss 5.2069 (5.2069)	Top-1 acc 8.984 (8.690)	Top-5 acc 23.828 (23.407)	lr 0.04174
Warmup Train [11][1410/2134]	Time 0.683 (0.640)	Data 0.002 (0.015)	Loss 5.2468 (5.2071)	Top-1 acc 7.031 (8.691)	Top-5 acc 19.531 (23.402)	lr 0.04174
Warmup Train [11][1420/2134]	Time 0.429 (0.640)	Data 0.003 (0.015)	Loss 5.1744 (5.2070)	Top-1 acc 7.031 (8.693)	Top-5 acc 20.312 (23.407)	lr 0.04173
Warmup Train [11][1430/2134]	Time 0.663 (0.640)	Data 0.002 (0.015)	Loss 5.3531 (5.2069)	Top-1 acc 6.250 (8.696)	Top-5 acc 19.531 (23.402)	lr 0.04172
Warmup Train [11][1440/2134]	Time 0.758 (0.639)	Data 0.002 (0.015)	Loss 5.1509 (5.2069)	Top-1 acc 8.594 (8.696)	Top-5 acc 25.391 (23.406)	lr 0.04172
Warmup Train [11][1450/2134]	Time 0.755 (0.639)	Data 0.002 (0.015)	Loss 5.1835 (5.2064)	Top-1 acc 8.984 (8.702)	Top-5 acc 24.219 (23.423)	lr 0.04171
Warmup Train [11][1460/2134]	Time 0.429 (0.639)	Data 0.002 (0.015)	Loss 5.0954 (5.2060)	Top-1 acc 7.812 (8.711)	Top-5 acc 25.781 (23.438)	lr 0.04170
Warmup Train [11][1470/2134]	Time 0.637 (0.639)	Data 0.002 (0.015)	Loss 5.1527 (5.2057)	Top-1 acc 10.938 (8.712)	Top-5 acc 26.562 (23.448)	lr 0.04170
Warmup Train [11][1480/2134]	Time 0.548 (0.639)	Data 0.002 (0.015)	Loss 5.1698 (5.2052)	Top-1 acc 6.250 (8.719)	Top-5 acc 20.312 (23.454)	lr 0.04169
Warmup Train [11][1490/2134]	Time 0.802 (0.639)	Data 0.002 (0.015)	Loss 5.0689 (5.2049)	Top-1 acc 11.328 (8.728)	Top-5 acc 27.344 (23.464)	lr 0.04168
Warmup Train [11][1500/2134]	Time 0.604 (0.639)	Data 0.002 (0.015)	Loss 5.1941 (5.2047)	Top-1 acc 5.859 (8.729)	Top-5 acc 24.219 (23.473)	lr 0.04168
Warmup Train [11][1510/2134]	Time 0.674 (0.639)	Data 0.002 (0.015)	Loss 5.2233 (5.2043)	Top-1 acc 9.766 (8.731)	Top-5 acc 23.047 (23.482)	lr 0.04167
Warmup Train [11][1520/2134]	Time 0.608 (0.639)	Data 0.002 (0.014)	Loss 5.3032 (5.2042)	Top-1 acc 6.250 (8.729)	Top-5 acc 21.094 (23.486)	lr 0.04166
Warmup Train [11][1530/2134]	Time 0.762 (0.639)	Data 0.002 (0.014)	Loss 5.1846 (5.2042)	Top-1 acc 10.547 (8.734)	Top-5 acc 26.953 (23.483)	lr 0.04166
Warmup Train [11][1540/2134]	Time 0.702 (0.639)	Data 0.002 (0.014)	Loss 5.2232 (5.2041)	Top-1 acc 8.984 (8.735)	Top-5 acc 24.609 (23.487)	lr 0.04165
Warmup Train [11][1550/2134]	Time 0.561 (0.639)	Data 0.002 (0.014)	Loss 5.0746 (5.2040)	Top-1 acc 10.156 (8.732)	Top-5 acc 30.859 (23.489)	lr 0.04164
Warmup Train [11][1560/2134]	Time 0.689 (0.638)	Data 0.002 (0.014)	Loss 5.2855 (5.2039)	Top-1 acc 9.375 (8.733)	Top-5 acc 21.875 (23.490)	lr 0.04163
Warmup Train [11][1570/2134]	Time 0.570 (0.638)	Data 0.004 (0.014)	Loss 5.0696 (5.2037)	Top-1 acc 11.719 (8.736)	Top-5 acc 24.219 (23.498)	lr 0.04163
Warmup Train [11][1580/2134]	Time 0.547 (0.639)	Data 0.002 (0.014)	Loss 5.1621 (5.2035)	Top-1 acc 5.469 (8.735)	Top-5 acc 23.047 (23.501)	lr 0.04162
Warmup Train [11][1590/2134]	Time 0.557 (0.639)	Data 0.002 (0.014)	Loss 5.2165 (5.2031)	Top-1 acc 7.812 (8.739)	Top-5 acc 20.312 (23.508)	lr 0.04161
Warmup Train [11][1600/2134]	Time 0.671 (0.639)	Data 0.002 (0.014)	Loss 5.1496 (5.2026)	Top-1 acc 8.594 (8.744)	Top-5 acc 24.219 (23.522)	lr 0.04161
Warmup Train [11][1610/2134]	Time 0.657 (0.638)	Data 0.002 (0.014)	Loss 5.0824 (5.2022)	Top-1 acc 11.719 (8.750)	Top-5 acc 25.781 (23.533)	lr 0.04160
Warmup Train [11][1620/2134]	Time 0.545 (0.638)	Data 0.002 (0.014)	Loss 5.1343 (5.2019)	Top-1 acc 9.766 (8.755)	Top-5 acc 27.344 (23.543)	lr 0.04159
Warmup Train [11][1630/2134]	Time 0.670 (0.638)	Data 0.002 (0.014)	Loss 5.2275 (5.2016)	Top-1 acc 7.031 (8.760)	Top-5 acc 21.875 (23.557)	lr 0.04159
Warmup Train [11][1640/2134]	Time 0.508 (0.638)	Data 0.002 (0.014)	Loss 5.1431 (5.2016)	Top-1 acc 6.641 (8.754)	Top-5 acc 25.000 (23.550)	lr 0.04158
Warmup Train [11][1650/2134]	Time 0.746 (0.638)	Data 0.002 (0.014)	Loss 5.1406 (5.2013)	Top-1 acc 13.672 (8.758)	Top-5 acc 28.516 (23.557)	lr 0.04157
Warmup Train [11][1660/2134]	Time 0.676 (0.638)	Data 0.002 (0.014)	Loss 5.2603 (5.2013)	Top-1 acc 8.984 (8.755)	Top-5 acc 25.391 (23.559)	lr 0.04157
Warmup Train [11][1670/2134]	Time 0.628 (0.638)	Data 0.002 (0.014)	Loss 5.2422 (5.2012)	Top-1 acc 8.594 (8.764)	Top-5 acc 26.562 (23.565)	lr 0.04156
Warmup Train [11][1680/2134]	Time 0.700 (0.638)	Data 0.003 (0.014)	Loss 5.1051 (5.2008)	Top-1 acc 10.156 (8.765)	Top-5 acc 22.266 (23.571)	lr 0.04155
Warmup Train [11][1690/2134]	Time 0.618 (0.638)	Data 0.002 (0.014)	Loss 5.1397 (5.2007)	Top-1 acc 7.031 (8.768)	Top-5 acc 23.828 (23.569)	lr 0.04155
Warmup Train [11][1700/2134]	Time 0.624 (0.638)	Data 0.002 (0.014)	Loss 5.2363 (5.2004)	Top-1 acc 10.938 (8.775)	Top-5 acc 25.000 (23.583)	lr 0.04154
Warmup Train [11][1710/2134]	Time 0.734 (0.638)	Data 0.002 (0.014)	Loss 5.0800 (5.2002)	Top-1 acc 8.984 (8.773)	Top-5 acc 24.219 (23.588)	lr 0.04153
Warmup Train [11][1720/2134]	Time 0.665 (0.638)	Data 0.002 (0.014)	Loss 5.1771 (5.2000)	Top-1 acc 7.031 (8.768)	Top-5 acc 22.266 (23.590)	lr 0.04152
Warmup Train [11][1730/2134]	Time 0.621 (0.638)	Data 0.002 (0.013)	Loss 5.2364 (5.1999)	Top-1 acc 6.250 (8.765)	Top-5 acc 20.312 (23.590)	lr 0.04152
Warmup Train [11][1740/2134]	Time 0.602 (0.638)	Data 0.003 (0.013)	Loss 5.0934 (5.1996)	Top-1 acc 12.109 (8.770)	Top-5 acc 25.000 (23.596)	lr 0.04151
Warmup Train [11][1750/2134]	Time 0.516 (0.638)	Data 0.002 (0.013)	Loss 5.1445 (5.1994)	Top-1 acc 10.938 (8.778)	Top-5 acc 26.953 (23.599)	lr 0.04150
Warmup Train [11][1760/2134]	Time 0.583 (0.638)	Data 0.002 (0.013)	Loss 5.1038 (5.1993)	Top-1 acc 7.422 (8.779)	Top-5 acc 23.828 (23.596)	lr 0.04150
Warmup Train [11][1770/2134]	Time 0.644 (0.638)	Data 0.004 (0.013)	Loss 5.2006 (5.1991)	Top-1 acc 8.203 (8.779)	Top-5 acc 23.828 (23.604)	lr 0.04149
Warmup Train [11][1780/2134]	Time 0.580 (0.637)	Data 0.002 (0.013)	Loss 5.1236 (5.1986)	Top-1 acc 8.984 (8.788)	Top-5 acc 24.609 (23.620)	lr 0.04148
Warmup Train [11][1790/2134]	Time 0.719 (0.638)	Data 0.002 (0.013)	Loss 5.1246 (5.1983)	Top-1 acc 8.984 (8.790)	Top-5 acc 24.609 (23.630)	lr 0.04148
Warmup Train [11][1800/2134]	Time 0.818 (0.638)	Data 0.002 (0.013)	Loss 5.0641 (5.1980)	Top-1 acc 7.031 (8.793)	Top-5 acc 26.953 (23.641)	lr 0.04147
Warmup Train [11][1810/2134]	Time 0.515 (0.638)	Data 0.003 (0.013)	Loss 5.2180 (5.1980)	Top-1 acc 8.984 (8.792)	Top-5 acc 24.219 (23.634)	lr 0.04146
Warmup Train [11][1820/2134]	Time 0.657 (0.638)	Data 0.002 (0.013)	Loss 5.1374 (5.1978)	Top-1 acc 10.156 (8.797)	Top-5 acc 25.781 (23.639)	lr 0.04146
Warmup Train [11][1830/2134]	Time 0.631 (0.638)	Data 0.002 (0.013)	Loss 5.1326 (5.1977)	Top-1 acc 8.203 (8.794)	Top-5 acc 25.000 (23.644)	lr 0.04145
Warmup Train [11][1840/2134]	Time 0.612 (0.638)	Data 0.002 (0.013)	Loss 5.3833 (5.1977)	Top-1 acc 7.812 (8.791)	Top-5 acc 20.312 (23.638)	lr 0.04144
Warmup Train [11][1850/2134]	Time 0.490 (0.637)	Data 0.002 (0.013)	Loss 5.2478 (5.1975)	Top-1 acc 7.812 (8.798)	Top-5 acc 21.484 (23.647)	lr 0.04143
Warmup Train [11][1860/2134]	Time 0.456 (0.637)	Data 0.002 (0.013)	Loss 5.0296 (5.1974)	Top-1 acc 10.547 (8.801)	Top-5 acc 30.078 (23.649)	lr 0.04143
Warmup Train [11][1870/2134]	Time 0.690 (0.637)	Data 0.003 (0.013)	Loss 5.1544 (5.1972)	Top-1 acc 10.938 (8.802)	Top-5 acc 23.828 (23.653)	lr 0.04142
Warmup Train [11][1880/2134]	Time 0.658 (0.637)	Data 0.002 (0.013)	Loss 5.1061 (5.1969)	Top-1 acc 9.375 (8.806)	Top-5 acc 25.391 (23.664)	lr 0.04141
Warmup Train [11][1890/2134]	Time 1.910 (0.637)	Data 0.002 (0.013)	Loss 5.0883 (5.1966)	Top-1 acc 7.812 (8.813)	Top-5 acc 23.047 (23.670)	lr 0.04141
Warmup Train [11][1900/2134]	Time 0.446 (0.637)	Data 0.002 (0.013)	Loss 5.1565 (5.1964)	Top-1 acc 8.984 (8.816)	Top-5 acc 26.562 (23.679)	lr 0.04140
Warmup Train [11][1910/2134]	Time 0.453 (0.637)	Data 0.002 (0.013)	Loss 5.2607 (5.1960)	Top-1 acc 9.375 (8.819)	Top-5 acc 21.484 (23.682)	lr 0.04139
Warmup Train [11][1920/2134]	Time 0.653 (0.637)	Data 0.002 (0.013)	Loss 5.0744 (5.1960)	Top-1 acc 7.812 (8.815)	Top-5 acc 23.828 (23.682)	lr 0.04139
Warmup Train [11][1930/2134]	Time 0.608 (0.637)	Data 0.003 (0.013)	Loss 5.1699 (5.1958)	Top-1 acc 7.422 (8.813)	Top-5 acc 23.047 (23.684)	lr 0.04138
Warmup Train [11][1940/2134]	Time 0.474 (0.637)	Data 0.002 (0.013)	Loss 5.1111 (5.1955)	Top-1 acc 9.766 (8.819)	Top-5 acc 21.875 (23.687)	lr 0.04137
Warmup Train [11][1950/2134]	Time 0.374 (0.637)	Data 0.002 (0.013)	Loss 5.0311 (5.1952)	Top-1 acc 10.156 (8.818)	Top-5 acc 28.516 (23.692)	lr 0.04137
Warmup Train [11][1960/2134]	Time 0.651 (0.637)	Data 0.002 (0.013)	Loss 5.1009 (5.1949)	Top-1 acc 10.938 (8.822)	Top-5 acc 26.562 (23.698)	lr 0.04136
Warmup Train [11][1970/2134]	Time 0.643 (0.637)	Data 0.002 (0.013)	Loss 5.2789 (5.1946)	Top-1 acc 6.641 (8.829)	Top-5 acc 23.047 (23.707)	lr 0.04135
Warmup Train [11][1980/2134]	Time 0.673 (0.637)	Data 0.002 (0.013)	Loss 5.0074 (5.1944)	Top-1 acc 9.766 (8.831)	Top-5 acc 27.734 (23.713)	lr 0.04134
Warmup Train [11][1990/2134]	Time 0.640 (0.637)	Data 0.002 (0.013)	Loss 5.1071 (5.1942)	Top-1 acc 12.109 (8.842)	Top-5 acc 25.781 (23.721)	lr 0.04134
Warmup Train [11][2000/2134]	Time 0.672 (0.637)	Data 0.002 (0.013)	Loss 5.1236 (5.1942)	Top-1 acc 9.375 (8.838)	Top-5 acc 26.172 (23.717)	lr 0.04133
Warmup Train [11][2010/2134]	Time 0.590 (0.637)	Data 0.003 (0.013)	Loss 5.1204 (5.1939)	Top-1 acc 10.547 (8.845)	Top-5 acc 24.609 (23.729)	lr 0.04132
Warmup Train [11][2020/2134]	Time 0.727 (0.637)	Data 0.002 (0.013)	Loss 5.1506 (5.1936)	Top-1 acc 11.328 (8.848)	Top-5 acc 26.953 (23.736)	lr 0.04132
Warmup Train [11][2030/2134]	Time 0.727 (0.637)	Data 0.002 (0.013)	Loss 5.1541 (5.1935)	Top-1 acc 8.203 (8.847)	Top-5 acc 23.047 (23.741)	lr 0.04131
Warmup Train [11][2040/2134]	Time 0.774 (0.637)	Data 0.002 (0.013)	Loss 5.2196 (5.1933)	Top-1 acc 10.938 (8.851)	Top-5 acc 25.000 (23.749)	lr 0.04130
Warmup Train [11][2050/2134]	Time 0.615 (0.637)	Data 0.005 (0.013)	Loss 5.0755 (5.1930)	Top-1 acc 9.375 (8.855)	Top-5 acc 26.562 (23.755)	lr 0.04130
Warmup Train [11][2060/2134]	Time 0.602 (0.636)	Data 0.002 (0.013)	Loss 5.2239 (5.1929)	Top-1 acc 10.547 (8.857)	Top-5 acc 25.781 (23.753)	lr 0.04129
Warmup Train [11][2070/2134]	Time 0.698 (0.636)	Data 0.002 (0.013)	Loss 5.3498 (5.1927)	Top-1 acc 7.812 (8.859)	Top-5 acc 22.266 (23.758)	lr 0.04128
Warmup Train [11][2080/2134]	Time 0.631 (0.636)	Data 0.000 (0.013)	Loss 5.1631 (5.1925)	Top-1 acc 9.375 (8.867)	Top-5 acc 25.000 (23.767)	lr 0.04127
Warmup Train [11][2090/2134]	Time 0.569 (0.636)	Data 0.000 (0.012)	Loss 5.0692 (5.1921)	Top-1 acc 11.328 (8.876)	Top-5 acc 28.125 (23.778)	lr 0.04127
Warmup Train [11][2100/2134]	Time 0.609 (0.636)	Data 0.000 (0.012)	Loss 5.0616 (5.1919)	Top-1 acc 10.938 (8.879)	Top-5 acc 27.734 (23.782)	lr 0.04126
Warmup Train [11][2110/2134]	Time 0.479 (0.636)	Data 0.000 (0.012)	Loss 5.0782 (5.1916)	Top-1 acc 8.203 (8.882)	Top-5 acc 25.000 (23.785)	lr 0.04125
Warmup Train [11][2120/2134]	Time 0.727 (0.636)	Data 0.000 (0.012)	Loss 5.2420 (5.1916)	Top-1 acc 8.203 (8.882)	Top-5 acc 24.219 (23.788)	lr 0.04125
Warmup Train [11][2130/2134]	Time 0.639 (0.636)	Data 0.000 (0.012)	Loss 5.1119 (5.1913)	Top-1 acc 11.719 (8.888)	Top-5 acc 25.391 (23.799)	lr 0.04124
Warmup Train [11][2134/2134]	Time 0.636 (0.635)	Data 0.000 (0.012)	Loss 5.1030 (5.1912)	Top-1 acc 10.695 (8.890)	Top-5 acc 27.273 (23.800)	lr 0.04124
==========Warmup Valid [11/40]	loss 4.487	top-1 acc 12.311	top-5 acc 30.959	Train top-1 8.890	top-5 23.800	flops: 442.4M
Warmup Train [12][0/2134]	Time 11.138 (11.138)	Data 7.624 (7.624)	Loss 5.1234 (5.1234)	Top-1 acc 11.328 (11.328)	Top-5 acc 24.609 (24.609)	lr 0.04124
Warmup Train [12][10/2134]	Time 0.703 (1.678)	Data 0.002 (0.698)	Loss 5.1699 (5.1459)	Top-1 acc 8.203 (8.665)	Top-5 acc 23.828 (24.219)	lr 0.04123
Warmup Train [12][20/2134]	Time 0.659 (1.166)	Data 0.002 (0.368)	Loss 5.1569 (5.1304)	Top-1 acc 7.812 (9.003)	Top-5 acc 26.562 (24.740)	lr 0.04122
Warmup Train [12][30/2134]	Time 0.655 (0.991)	Data 0.002 (0.254)	Loss 5.1925 (5.1437)	Top-1 acc 8.984 (9.136)	Top-5 acc 23.828 (24.546)	lr 0.04122
Warmup Train [12][40/2134]	Time 0.675 (0.896)	Data 0.002 (0.193)	Loss 4.9863 (5.1445)	Top-1 acc 12.109 (9.404)	Top-5 acc 30.469 (24.438)	lr 0.04121
Warmup Train [12][50/2134]	Time 0.688 (0.838)	Data 0.002 (0.155)	Loss 5.1991 (5.1494)	Top-1 acc 8.203 (9.628)	Top-5 acc 23.828 (24.426)	lr 0.04120
Warmup Train [12][60/2134]	Time 0.643 (0.829)	Data 0.002 (0.132)	Loss 5.1814 (5.1467)	Top-1 acc 5.859 (9.529)	Top-5 acc 21.094 (24.520)	lr 0.04119
Warmup Train [12][70/2134]	Time 0.700 (0.795)	Data 0.002 (0.113)	Loss 5.2370 (5.1433)	Top-1 acc 8.203 (9.678)	Top-5 acc 21.875 (24.598)	lr 0.04119
Warmup Train [12][80/2134]	Time 0.791 (0.775)	Data 0.002 (0.101)	Loss 5.1333 (5.1393)	Top-1 acc 7.812 (9.597)	Top-5 acc 25.781 (24.735)	lr 0.04118
Warmup Train [12][90/2134]	Time 0.675 (0.758)	Data 0.002 (0.090)	Loss 5.1013 (5.1399)	Top-1 acc 7.031 (9.628)	Top-5 acc 23.438 (24.721)	lr 0.04117
Warmup Train [12][100/2134]	Time 0.674 (0.744)	Data 0.002 (0.081)	Loss 5.1522 (5.1360)	Top-1 acc 7.422 (9.723)	Top-5 acc 27.344 (24.822)	lr 0.04117
Warmup Train [12][110/2134]	Time 0.538 (0.732)	Data 0.002 (0.074)	Loss 5.1777 (5.1371)	Top-1 acc 11.719 (9.681)	Top-5 acc 26.562 (24.810)	lr 0.04116
Warmup Train [12][120/2134]	Time 0.613 (0.725)	Data 0.002 (0.069)	Loss 5.0829 (5.1372)	Top-1 acc 11.328 (9.669)	Top-5 acc 24.609 (24.793)	lr 0.04115
Warmup Train [12][130/2134]	Time 0.578 (0.718)	Data 0.002 (0.064)	Loss 5.1855 (5.1339)	Top-1 acc 9.375 (9.745)	Top-5 acc 23.828 (24.839)	lr 0.04115
Warmup Train [12][140/2134]	Time 0.676 (0.710)	Data 0.003 (0.061)	Loss 5.2419 (5.1348)	Top-1 acc 7.031 (9.716)	Top-5 acc 21.484 (24.828)	lr 0.04114
Warmup Train [12][150/2134]	Time 0.506 (0.704)	Data 0.002 (0.057)	Loss 4.9959 (5.1348)	Top-1 acc 12.500 (9.665)	Top-5 acc 26.953 (24.855)	lr 0.04113
Warmup Train [12][160/2134]	Time 0.413 (0.697)	Data 0.003 (0.054)	Loss 5.1186 (5.1319)	Top-1 acc 10.547 (9.710)	Top-5 acc 27.344 (24.932)	lr 0.04112
Warmup Train [12][170/2134]	Time 0.605 (0.701)	Data 0.002 (0.052)	Loss 5.0903 (5.1327)	Top-1 acc 9.766 (9.677)	Top-5 acc 28.125 (24.927)	lr 0.04112
Warmup Train [12][180/2134]	Time 0.621 (0.697)	Data 0.002 (0.050)	Loss 5.2295 (5.1350)	Top-1 acc 4.688 (9.625)	Top-5 acc 21.484 (24.879)	lr 0.04111
Warmup Train [12][190/2134]	Time 0.578 (0.692)	Data 0.003 (0.047)	Loss 5.1310 (5.1334)	Top-1 acc 8.984 (9.643)	Top-5 acc 22.266 (24.871)	lr 0.04110
Warmup Train [12][200/2134]	Time 0.614 (0.688)	Data 0.002 (0.045)	Loss 5.0859 (5.1344)	Top-1 acc 11.719 (9.670)	Top-5 acc 25.781 (24.911)	lr 0.04110
Warmup Train [12][210/2134]	Time 0.525 (0.685)	Data 0.002 (0.043)	Loss 5.0602 (5.1348)	Top-1 acc 10.547 (9.680)	Top-5 acc 25.391 (24.904)	lr 0.04109
Warmup Train [12][220/2134]	Time 0.688 (0.682)	Data 0.003 (0.042)	Loss 5.0798 (5.1350)	Top-1 acc 7.812 (9.651)	Top-5 acc 25.000 (24.887)	lr 0.04108
Warmup Train [12][230/2134]	Time 0.572 (0.678)	Data 0.002 (0.040)	Loss 5.1522 (5.1344)	Top-1 acc 11.328 (9.669)	Top-5 acc 24.219 (24.922)	lr 0.04107
Warmup Train [12][240/2134]	Time 0.604 (0.676)	Data 0.004 (0.039)	Loss 5.0607 (5.1342)	Top-1 acc 8.984 (9.652)	Top-5 acc 25.000 (24.924)	lr 0.04107
Warmup Train [12][250/2134]	Time 0.463 (0.672)	Data 0.002 (0.037)	Loss 5.2048 (5.1348)	Top-1 acc 7.422 (9.621)	Top-5 acc 25.000 (24.964)	lr 0.04106
Warmup Train [12][260/2134]	Time 0.741 (0.670)	Data 0.002 (0.037)	Loss 5.0962 (5.1354)	Top-1 acc 10.547 (9.573)	Top-5 acc 25.391 (24.885)	lr 0.04105
Warmup Train [12][270/2134]	Time 0.574 (0.668)	Data 0.002 (0.035)	Loss 4.9630 (5.1338)	Top-1 acc 12.891 (9.609)	Top-5 acc 32.031 (24.931)	lr 0.04105
Warmup Train [12][280/2134]	Time 0.566 (0.670)	Data 0.002 (0.034)	Loss 5.0986 (5.1335)	Top-1 acc 6.250 (9.611)	Top-5 acc 22.266 (24.947)	lr 0.04104
Warmup Train [12][290/2134]	Time 0.594 (0.668)	Data 0.004 (0.034)	Loss 5.1628 (5.1336)	Top-1 acc 8.594 (9.626)	Top-5 acc 27.734 (24.945)	lr 0.04103
Warmup Train [12][300/2134]	Time 0.556 (0.666)	Data 0.002 (0.033)	Loss 5.1195 (5.1320)	Top-1 acc 12.891 (9.638)	Top-5 acc 28.516 (24.995)	lr 0.04103
Warmup Train [12][310/2134]	Time 0.604 (0.665)	Data 0.002 (0.032)	Loss 5.1538 (5.1329)	Top-1 acc 7.812 (9.627)	Top-5 acc 23.828 (24.986)	lr 0.04102
Warmup Train [12][320/2134]	Time 0.614 (0.664)	Data 0.002 (0.031)	Loss 5.0128 (5.1323)	Top-1 acc 10.938 (9.651)	Top-5 acc 24.219 (24.998)	lr 0.04101
Warmup Train [12][330/2134]	Time 0.711 (0.661)	Data 0.002 (0.030)	Loss 5.2027 (5.1327)	Top-1 acc 7.422 (9.650)	Top-5 acc 22.656 (24.980)	lr 0.04100
Warmup Train [12][340/2134]	Time 0.665 (0.660)	Data 0.002 (0.029)	Loss 5.1945 (5.1328)	Top-1 acc 7.422 (9.632)	Top-5 acc 24.219 (24.999)	lr 0.04100
Warmup Train [12][350/2134]	Time 0.688 (0.659)	Data 0.003 (0.029)	Loss 5.0489 (5.1324)	Top-1 acc 13.672 (9.634)	Top-5 acc 30.859 (25.014)	lr 0.04099
Warmup Train [12][360/2134]	Time 0.568 (0.657)	Data 0.002 (0.028)	Loss 5.2649 (5.1329)	Top-1 acc 6.641 (9.627)	Top-5 acc 20.312 (25.037)	lr 0.04098
Warmup Train [12][370/2134]	Time 0.761 (0.656)	Data 0.002 (0.028)	Loss 5.0944 (5.1328)	Top-1 acc 11.719 (9.619)	Top-5 acc 23.828 (25.017)	lr 0.04098
Warmup Train [12][380/2134]	Time 0.594 (0.655)	Data 0.002 (0.027)	Loss 5.1323 (5.1323)	Top-1 acc 10.547 (9.617)	Top-5 acc 23.438 (25.016)	lr 0.04097
Warmup Train [12][390/2134]	Time 0.722 (0.654)	Data 0.002 (0.026)	Loss 5.1802 (5.1318)	Top-1 acc 8.594 (9.639)	Top-5 acc 23.438 (25.051)	lr 0.04096
Warmup Train [12][400/2134]	Time 0.513 (0.656)	Data 0.002 (0.026)	Loss 5.1857 (5.1329)	Top-1 acc 10.547 (9.619)	Top-5 acc 27.734 (25.053)	lr 0.04095
Warmup Train [12][410/2134]	Time 0.583 (0.655)	Data 0.002 (0.025)	Loss 4.9249 (5.1305)	Top-1 acc 14.453 (9.652)	Top-5 acc 27.734 (25.129)	lr 0.04095
Warmup Train [12][420/2134]	Time 0.617 (0.655)	Data 0.002 (0.025)	Loss 5.2273 (5.1309)	Top-1 acc 7.031 (9.666)	Top-5 acc 24.609 (25.145)	lr 0.04094
Warmup Train [12][430/2134]	Time 0.458 (0.653)	Data 0.002 (0.024)	Loss 5.0365 (5.1300)	Top-1 acc 12.109 (9.670)	Top-5 acc 30.859 (25.155)	lr 0.04093
Warmup Train [12][440/2134]	Time 0.485 (0.652)	Data 0.003 (0.024)	Loss 5.0867 (5.1294)	Top-1 acc 12.500 (9.687)	Top-5 acc 28.906 (25.199)	lr 0.04093
Warmup Train [12][450/2134]	Time 0.755 (0.651)	Data 0.002 (0.024)	Loss 4.9871 (5.1288)	Top-1 acc 10.547 (9.702)	Top-5 acc 26.562 (25.200)	lr 0.04092
Warmup Train [12][460/2134]	Time 0.692 (0.651)	Data 0.002 (0.024)	Loss 5.0627 (5.1290)	Top-1 acc 10.938 (9.706)	Top-5 acc 28.125 (25.190)	lr 0.04091
Warmup Train [12][470/2134]	Time 0.701 (0.650)	Data 0.003 (0.023)	Loss 5.0901 (5.1301)	Top-1 acc 10.156 (9.703)	Top-5 acc 23.438 (25.143)	lr 0.04091
Warmup Train [12][480/2134]	Time 0.568 (0.649)	Data 0.002 (0.023)	Loss 5.1274 (5.1294)	Top-1 acc 8.203 (9.722)	Top-5 acc 23.438 (25.166)	lr 0.04090
Warmup Train [12][490/2134]	Time 0.681 (0.648)	Data 0.003 (0.023)	Loss 5.2595 (5.1291)	Top-1 acc 8.203 (9.746)	Top-5 acc 22.266 (25.204)	lr 0.04089
Warmup Train [12][500/2134]	Time 0.630 (0.651)	Data 0.004 (0.022)	Loss 5.2260 (5.1291)	Top-1 acc 9.375 (9.731)	Top-5 acc 24.609 (25.215)	lr 0.04088
Warmup Train [12][510/2134]	Time 0.590 (0.650)	Data 0.002 (0.022)	Loss 5.0879 (5.1286)	Top-1 acc 10.938 (9.734)	Top-5 acc 28.125 (25.211)	lr 0.04088
Warmup Train [12][520/2134]	Time 0.660 (0.649)	Data 0.002 (0.021)	Loss 5.0879 (5.1287)	Top-1 acc 7.422 (9.717)	Top-5 acc 23.828 (25.205)	lr 0.04087
Warmup Train [12][530/2134]	Time 0.679 (0.649)	Data 0.002 (0.021)	Loss 5.0635 (5.1284)	Top-1 acc 8.984 (9.724)	Top-5 acc 28.125 (25.221)	lr 0.04086
Warmup Train [12][540/2134]	Time 0.572 (0.647)	Data 0.002 (0.021)	Loss 5.1286 (5.1283)	Top-1 acc 10.156 (9.711)	Top-5 acc 25.391 (25.210)	lr 0.04086
Warmup Train [12][550/2134]	Time 0.685 (0.647)	Data 0.004 (0.021)	Loss 5.2680 (5.1285)	Top-1 acc 9.375 (9.712)	Top-5 acc 24.219 (25.200)	lr 0.04085
Warmup Train [12][560/2134]	Time 0.659 (0.647)	Data 0.002 (0.021)	Loss 5.1827 (5.1287)	Top-1 acc 8.984 (9.705)	Top-5 acc 23.828 (25.174)	lr 0.04084
Warmup Train [12][570/2134]	Time 0.664 (0.646)	Data 0.003 (0.020)	Loss 5.1463 (5.1293)	Top-1 acc 8.984 (9.704)	Top-5 acc 26.562 (25.176)	lr 0.04083
Warmup Train [12][580/2134]	Time 0.398 (0.646)	Data 0.003 (0.020)	Loss 5.1008 (5.1292)	Top-1 acc 11.328 (9.704)	Top-5 acc 27.344 (25.188)	lr 0.04083
Warmup Train [12][590/2134]	Time 0.643 (0.645)	Data 0.002 (0.020)	Loss 5.1105 (5.1293)	Top-1 acc 13.281 (9.703)	Top-5 acc 28.516 (25.189)	lr 0.04082
Warmup Train [12][600/2134]	Time 0.434 (0.644)	Data 0.002 (0.020)	Loss 5.0782 (5.1286)	Top-1 acc 7.812 (9.712)	Top-5 acc 23.828 (25.198)	lr 0.04081
Warmup Train [12][610/2134]	Time 1.767 (0.646)	Data 0.002 (0.020)	Loss 4.9871 (5.1274)	Top-1 acc 12.891 (9.727)	Top-5 acc 26.953 (25.220)	lr 0.04081
Warmup Train [12][620/2134]	Time 0.483 (0.645)	Data 0.002 (0.019)	Loss 5.0910 (5.1273)	Top-1 acc 7.812 (9.719)	Top-5 acc 24.219 (25.222)	lr 0.04080
Warmup Train [12][630/2134]	Time 0.563 (0.645)	Data 0.004 (0.019)	Loss 5.0477 (5.1273)	Top-1 acc 13.672 (9.727)	Top-5 acc 28.906 (25.220)	lr 0.04079
Warmup Train [12][640/2134]	Time 0.625 (0.644)	Data 0.002 (0.019)	Loss 5.1383 (5.1274)	Top-1 acc 9.375 (9.728)	Top-5 acc 23.047 (25.218)	lr 0.04078
Warmup Train [12][650/2134]	Time 0.505 (0.643)	Data 0.003 (0.019)	Loss 5.1810 (5.1272)	Top-1 acc 12.109 (9.742)	Top-5 acc 25.781 (25.237)	lr 0.04078
Warmup Train [12][660/2134]	Time 0.483 (0.643)	Data 0.002 (0.019)	Loss 5.1687 (5.1271)	Top-1 acc 7.031 (9.745)	Top-5 acc 25.000 (25.233)	lr 0.04077
Warmup Train [12][670/2134]	Time 0.828 (0.643)	Data 0.002 (0.019)	Loss 4.9998 (5.1274)	Top-1 acc 10.938 (9.738)	Top-5 acc 29.297 (25.231)	lr 0.04076
Warmup Train [12][680/2134]	Time 0.622 (0.643)	Data 0.002 (0.019)	Loss 5.2222 (5.1275)	Top-1 acc 9.375 (9.734)	Top-5 acc 20.703 (25.216)	lr 0.04076
Warmup Train [12][690/2134]	Time 0.488 (0.642)	Data 0.002 (0.018)	Loss 4.9081 (5.1275)	Top-1 acc 13.672 (9.736)	Top-5 acc 28.125 (25.222)	lr 0.04075
Warmup Train [12][700/2134]	Time 0.649 (0.642)	Data 0.002 (0.018)	Loss 5.0494 (5.1272)	Top-1 acc 11.719 (9.740)	Top-5 acc 28.516 (25.237)	lr 0.04074
Warmup Train [12][710/2134]	Time 0.598 (0.642)	Data 0.002 (0.018)	Loss 5.2713 (5.1277)	Top-1 acc 8.203 (9.729)	Top-5 acc 22.656 (25.233)	lr 0.04073
Warmup Train [12][720/2134]	Time 0.678 (0.642)	Data 0.003 (0.018)	Loss 5.1107 (5.1277)	Top-1 acc 9.375 (9.739)	Top-5 acc 27.344 (25.246)	lr 0.04073
Warmup Train [12][730/2134]	Time 0.575 (0.643)	Data 0.002 (0.018)	Loss 5.2254 (5.1276)	Top-1 acc 7.422 (9.737)	Top-5 acc 23.438 (25.253)	lr 0.04072
Warmup Train [12][740/2134]	Time 0.708 (0.643)	Data 0.002 (0.018)	Loss 5.1769 (5.1277)	Top-1 acc 7.812 (9.732)	Top-5 acc 23.047 (25.252)	lr 0.04071
Warmup Train [12][750/2134]	Time 0.693 (0.642)	Data 0.002 (0.017)	Loss 5.2543 (5.1282)	Top-1 acc 9.375 (9.722)	Top-5 acc 23.047 (25.247)	lr 0.04071
Warmup Train [12][760/2134]	Time 0.588 (0.642)	Data 0.002 (0.017)	Loss 5.2557 (5.1279)	Top-1 acc 9.375 (9.714)	Top-5 acc 24.219 (25.262)	lr 0.04070
Warmup Train [12][770/2134]	Time 0.589 (0.641)	Data 0.002 (0.017)	Loss 5.1078 (5.1275)	Top-1 acc 11.328 (9.709)	Top-5 acc 27.344 (25.286)	lr 0.04069
Warmup Train [12][780/2134]	Time 0.693 (0.641)	Data 0.002 (0.017)	Loss 5.2353 (5.1278)	Top-1 acc 8.203 (9.706)	Top-5 acc 23.828 (25.278)	lr 0.04068
Warmup Train [12][790/2134]	Time 0.656 (0.641)	Data 0.002 (0.017)	Loss 5.0979 (5.1280)	Top-1 acc 10.547 (9.702)	Top-5 acc 25.000 (25.271)	lr 0.04068
Warmup Train [12][800/2134]	Time 0.477 (0.640)	Data 0.002 (0.017)	Loss 5.1841 (5.1276)	Top-1 acc 11.328 (9.718)	Top-5 acc 25.000 (25.284)	lr 0.04067
Warmup Train [12][810/2134]	Time 0.635 (0.640)	Data 0.002 (0.017)	Loss 5.0809 (5.1272)	Top-1 acc 9.766 (9.723)	Top-5 acc 28.906 (25.307)	lr 0.04066
Warmup Train [12][820/2134]	Time 0.445 (0.640)	Data 0.002 (0.016)	Loss 5.1217 (5.1274)	Top-1 acc 11.328 (9.723)	Top-5 acc 29.688 (25.289)	lr 0.04066
Warmup Train [12][830/2134]	Time 0.592 (0.639)	Data 0.002 (0.016)	Loss 4.9936 (5.1268)	Top-1 acc 13.281 (9.735)	Top-5 acc 30.469 (25.306)	lr 0.04065
Warmup Train [12][840/2134]	Time 0.662 (0.641)	Data 0.002 (0.016)	Loss 5.1449 (5.1262)	Top-1 acc 8.594 (9.741)	Top-5 acc 25.391 (25.311)	lr 0.04064
Warmup Train [12][850/2134]	Time 0.564 (0.640)	Data 0.002 (0.016)	Loss 5.1718 (5.1266)	Top-1 acc 9.375 (9.737)	Top-5 acc 25.000 (25.301)	lr 0.04063
Warmup Train [12][860/2134]	Time 0.568 (0.640)	Data 0.004 (0.016)	Loss 5.1713 (5.1265)	Top-1 acc 10.547 (9.734)	Top-5 acc 26.172 (25.301)	lr 0.04063
Warmup Train [12][870/2134]	Time 0.660 (0.640)	Data 0.003 (0.016)	Loss 4.9908 (5.1256)	Top-1 acc 12.109 (9.739)	Top-5 acc 28.516 (25.325)	lr 0.04062
Warmup Train [12][880/2134]	Time 0.610 (0.639)	Data 0.003 (0.016)	Loss 5.0346 (5.1255)	Top-1 acc 8.984 (9.738)	Top-5 acc 31.641 (25.326)	lr 0.04061
Warmup Train [12][890/2134]	Time 0.674 (0.639)	Data 0.002 (0.016)	Loss 5.2252 (5.1259)	Top-1 acc 9.375 (9.733)	Top-5 acc 24.219 (25.313)	lr 0.04061
Warmup Train [12][900/2134]	Time 0.556 (0.639)	Data 0.002 (0.015)	Loss 5.2048 (5.1256)	Top-1 acc 8.984 (9.751)	Top-5 acc 23.828 (25.312)	lr 0.04060
Warmup Train [12][910/2134]	Time 0.429 (0.638)	Data 0.003 (0.015)	Loss 5.0809 (5.1255)	Top-1 acc 8.984 (9.745)	Top-5 acc 28.125 (25.315)	lr 0.04059
Warmup Train [12][920/2134]	Time 0.709 (0.638)	Data 0.002 (0.015)	Loss 5.1138 (5.1259)	Top-1 acc 9.766 (9.744)	Top-5 acc 24.609 (25.307)	lr 0.04058
Warmup Train [12][930/2134]	Time 0.544 (0.638)	Data 0.002 (0.015)	Loss 5.1360 (5.1259)	Top-1 acc 7.422 (9.740)	Top-5 acc 27.734 (25.310)	lr 0.04058
Warmup Train [12][940/2134]	Time 0.661 (0.638)	Data 0.002 (0.015)	Loss 5.1603 (5.1253)	Top-1 acc 10.547 (9.748)	Top-5 acc 23.828 (25.328)	lr 0.04057
Warmup Train [12][950/2134]	Time 0.569 (0.637)	Data 0.003 (0.015)	Loss 5.3022 (5.1251)	Top-1 acc 6.250 (9.754)	Top-5 acc 22.656 (25.341)	lr 0.04056
Warmup Train [12][960/2134]	Time 0.770 (0.638)	Data 0.002 (0.015)	Loss 5.0311 (5.1249)	Top-1 acc 10.938 (9.755)	Top-5 acc 26.172 (25.354)	lr 0.04055
Warmup Train [12][970/2134]	Time 0.624 (0.638)	Data 0.002 (0.015)	Loss 5.1036 (5.1246)	Top-1 acc 6.250 (9.759)	Top-5 acc 20.703 (25.350)	lr 0.04055
Warmup Train [12][980/2134]	Time 0.550 (0.638)	Data 0.002 (0.015)	Loss 5.0617 (5.1237)	Top-1 acc 10.547 (9.771)	Top-5 acc 27.734 (25.377)	lr 0.04054
Warmup Train [12][990/2134]	Time 0.512 (0.637)	Data 0.002 (0.015)	Loss 4.9879 (5.1235)	Top-1 acc 10.547 (9.782)	Top-5 acc 28.906 (25.397)	lr 0.04053
Warmup Train [12][1000/2134]	Time 0.680 (0.637)	Data 0.004 (0.015)	Loss 5.1456 (5.1234)	Top-1 acc 8.594 (9.779)	Top-5 acc 25.000 (25.393)	lr 0.04053
Warmup Train [12][1010/2134]	Time 0.664 (0.637)	Data 0.002 (0.015)	Loss 5.0427 (5.1236)	Top-1 acc 11.719 (9.779)	Top-5 acc 27.344 (25.393)	lr 0.04052
Warmup Train [12][1020/2134]	Time 0.746 (0.637)	Data 0.003 (0.015)	Loss 5.1827 (5.1239)	Top-1 acc 7.812 (9.780)	Top-5 acc 25.000 (25.388)	lr 0.04051
Warmup Train [12][1030/2134]	Time 0.621 (0.636)	Data 0.004 (0.015)	Loss 5.1673 (5.1240)	Top-1 acc 8.594 (9.780)	Top-5 acc 25.781 (25.397)	lr 0.04050
Warmup Train [12][1040/2134]	Time 0.631 (0.636)	Data 0.003 (0.014)	Loss 5.0628 (5.1238)	Top-1 acc 12.109 (9.786)	Top-5 acc 29.688 (25.408)	lr 0.04050
Warmup Train [12][1050/2134]	Time 0.607 (0.636)	Data 0.003 (0.014)	Loss 5.0688 (5.1240)	Top-1 acc 11.328 (9.787)	Top-5 acc 28.125 (25.401)	lr 0.04049
Warmup Train [12][1060/2134]	Time 0.631 (0.636)	Data 0.002 (0.014)	Loss 5.0469 (5.1236)	Top-1 acc 8.984 (9.790)	Top-5 acc 26.562 (25.404)	lr 0.04048
Warmup Train [12][1070/2134]	Time 0.624 (0.636)	Data 0.002 (0.014)	Loss 4.9825 (5.1235)	Top-1 acc 13.672 (9.796)	Top-5 acc 28.125 (25.414)	lr 0.04048
Warmup Train [12][1080/2134]	Time 0.626 (0.636)	Data 0.002 (0.014)	Loss 5.1697 (5.1236)	Top-1 acc 8.594 (9.788)	Top-5 acc 25.391 (25.408)	lr 0.04047
Warmup Train [12][1090/2134]	Time 0.631 (0.636)	Data 0.002 (0.014)	Loss 5.1556 (5.1236)	Top-1 acc 11.328 (9.787)	Top-5 acc 25.391 (25.417)	lr 0.04046
Warmup Train [12][1100/2134]	Time 0.599 (0.635)	Data 0.002 (0.014)	Loss 5.1376 (5.1231)	Top-1 acc 9.375 (9.792)	Top-5 acc 25.391 (25.438)	lr 0.04045
Warmup Train [12][1110/2134]	Time 0.633 (0.635)	Data 0.002 (0.014)	Loss 4.9303 (5.1229)	Top-1 acc 12.500 (9.795)	Top-5 acc 28.516 (25.438)	lr 0.04045
Warmup Train [12][1120/2134]	Time 0.667 (0.635)	Data 0.002 (0.014)	Loss 5.1096 (5.1220)	Top-1 acc 5.859 (9.806)	Top-5 acc 29.297 (25.456)	lr 0.04044
Warmup Train [12][1130/2134]	Time 0.613 (0.635)	Data 0.003 (0.014)	Loss 5.1255 (5.1221)	Top-1 acc 8.203 (9.805)	Top-5 acc 25.781 (25.459)	lr 0.04043
Warmup Train [12][1140/2134]	Time 0.595 (0.635)	Data 0.002 (0.014)	Loss 5.1034 (5.1218)	Top-1 acc 10.938 (9.810)	Top-5 acc 26.953 (25.470)	lr 0.04042
Warmup Train [12][1150/2134]	Time 0.585 (0.634)	Data 0.002 (0.013)	Loss 5.1011 (5.1214)	Top-1 acc 7.812 (9.812)	Top-5 acc 26.562 (25.486)	lr 0.04042
Warmup Train [12][1160/2134]	Time 0.614 (0.634)	Data 0.002 (0.013)	Loss 5.0586 (5.1210)	Top-1 acc 10.547 (9.818)	Top-5 acc 26.953 (25.499)	lr 0.04041
Warmup Train [12][1170/2134]	Time 0.401 (0.634)	Data 0.002 (0.013)	Loss 5.1075 (5.1208)	Top-1 acc 8.594 (9.829)	Top-5 acc 28.516 (25.509)	lr 0.04040
Warmup Train [12][1180/2134]	Time 0.542 (0.634)	Data 0.002 (0.013)	Loss 5.1139 (5.1206)	Top-1 acc 11.328 (9.825)	Top-5 acc 25.391 (25.513)	lr 0.04040
Warmup Train [12][1190/2134]	Time 0.568 (0.635)	Data 0.002 (0.013)	Loss 5.0168 (5.1207)	Top-1 acc 11.328 (9.825)	Top-5 acc 26.953 (25.512)	lr 0.04039
Warmup Train [12][1200/2134]	Time 0.523 (0.635)	Data 0.003 (0.013)	Loss 5.0803 (5.1206)	Top-1 acc 10.156 (9.829)	Top-5 acc 24.219 (25.507)	lr 0.04038
Warmup Train [12][1210/2134]	Time 0.694 (0.635)	Data 0.002 (0.013)	Loss 4.9603 (5.1205)	Top-1 acc 12.109 (9.834)	Top-5 acc 30.469 (25.510)	lr 0.04037
Warmup Train [12][1220/2134]	Time 0.671 (0.634)	Data 0.002 (0.013)	Loss 5.1887 (5.1207)	Top-1 acc 11.328 (9.838)	Top-5 acc 23.828 (25.507)	lr 0.04037
Warmup Train [12][1230/2134]	Time 0.818 (0.634)	Data 0.002 (0.013)	Loss 5.2659 (5.1211)	Top-1 acc 5.859 (9.831)	Top-5 acc 19.531 (25.490)	lr 0.04036
Warmup Train [12][1240/2134]	Time 0.767 (0.634)	Data 0.002 (0.013)	Loss 5.1086 (5.1210)	Top-1 acc 8.203 (9.838)	Top-5 acc 21.875 (25.493)	lr 0.04035
Warmup Train [12][1250/2134]	Time 0.580 (0.634)	Data 0.002 (0.013)	Loss 5.0200 (5.1205)	Top-1 acc 8.984 (9.839)	Top-5 acc 24.219 (25.499)	lr 0.04035
Warmup Train [12][1260/2134]	Time 0.715 (0.633)	Data 0.020 (0.013)	Loss 5.1113 (5.1206)	Top-1 acc 8.594 (9.832)	Top-5 acc 27.344 (25.496)	lr 0.04034
Warmup Train [12][1270/2134]	Time 0.595 (0.633)	Data 0.002 (0.013)	Loss 5.1592 (5.1207)	Top-1 acc 14.453 (9.827)	Top-5 acc 28.125 (25.501)	lr 0.04033
Warmup Train [12][1280/2134]	Time 0.725 (0.633)	Data 0.002 (0.013)	Loss 4.9161 (5.1205)	Top-1 acc 14.453 (9.838)	Top-5 acc 32.812 (25.517)	lr 0.04032
Warmup Train [12][1290/2134]	Time 0.620 (0.633)	Data 0.002 (0.013)	Loss 5.1457 (5.1201)	Top-1 acc 6.250 (9.848)	Top-5 acc 20.703 (25.528)	lr 0.04032
Warmup Train [12][1300/2134]	Time 0.627 (0.633)	Data 0.002 (0.013)	Loss 5.0525 (5.1196)	Top-1 acc 10.156 (9.856)	Top-5 acc 26.562 (25.537)	lr 0.04031
Warmup Train [12][1310/2134]	Time 0.736 (0.633)	Data 0.002 (0.013)	Loss 5.0870 (5.1194)	Top-1 acc 9.375 (9.861)	Top-5 acc 30.469 (25.542)	lr 0.04030
Warmup Train [12][1320/2134]	Time 0.580 (0.633)	Data 0.002 (0.012)	Loss 5.1503 (5.1191)	Top-1 acc 11.328 (9.870)	Top-5 acc 27.344 (25.551)	lr 0.04029
Warmup Train [12][1330/2134]	Time 0.719 (0.633)	Data 0.002 (0.012)	Loss 5.2036 (5.1188)	Top-1 acc 8.984 (9.878)	Top-5 acc 23.438 (25.562)	lr 0.04029
Warmup Train [12][1340/2134]	Time 0.621 (0.633)	Data 0.004 (0.012)	Loss 5.1144 (5.1186)	Top-1 acc 8.594 (9.880)	Top-5 acc 29.688 (25.570)	lr 0.04028
Warmup Train [12][1350/2134]	Time 0.809 (0.633)	Data 0.002 (0.012)	Loss 5.0826 (5.1181)	Top-1 acc 10.156 (9.881)	Top-5 acc 26.953 (25.581)	lr 0.04027
Warmup Train [12][1360/2134]	Time 0.624 (0.633)	Data 0.002 (0.012)	Loss 5.0399 (5.1182)	Top-1 acc 11.328 (9.874)	Top-5 acc 26.172 (25.581)	lr 0.04027
Warmup Train [12][1370/2134]	Time 0.609 (0.633)	Data 0.002 (0.012)	Loss 5.0136 (5.1179)	Top-1 acc 10.156 (9.879)	Top-5 acc 26.953 (25.592)	lr 0.04026
Warmup Train [12][1380/2134]	Time 0.561 (0.632)	Data 0.002 (0.012)	Loss 5.1144 (5.1178)	Top-1 acc 8.594 (9.875)	Top-5 acc 26.172 (25.599)	lr 0.04025
Warmup Train [12][1390/2134]	Time 0.725 (0.632)	Data 0.002 (0.012)	Loss 5.0096 (5.1177)	Top-1 acc 10.547 (9.876)	Top-5 acc 26.172 (25.597)	lr 0.04024
Warmup Train [12][1400/2134]	Time 0.506 (0.632)	Data 0.002 (0.012)	Loss 5.1736 (5.1177)	Top-1 acc 10.156 (9.879)	Top-5 acc 25.391 (25.598)	lr 0.04024
Warmup Train [12][1410/2134]	Time 0.609 (0.632)	Data 0.002 (0.012)	Loss 5.3416 (5.1176)	Top-1 acc 9.766 (9.882)	Top-5 acc 25.000 (25.600)	lr 0.04023
Warmup Train [12][1420/2134]	Time 0.479 (0.633)	Data 0.002 (0.012)	Loss 5.1655 (5.1177)	Top-1 acc 10.938 (9.876)	Top-5 acc 26.953 (25.598)	lr 0.04022
Warmup Train [12][1430/2134]	Time 0.763 (0.633)	Data 0.005 (0.012)	Loss 5.1430 (5.1179)	Top-1 acc 10.156 (9.872)	Top-5 acc 23.047 (25.583)	lr 0.04021
Warmup Train [12][1440/2134]	Time 0.510 (0.632)	Data 0.003 (0.012)	Loss 5.0496 (5.1177)	Top-1 acc 7.422 (9.868)	Top-5 acc 23.438 (25.586)	lr 0.04021
Warmup Train [12][1450/2134]	Time 0.588 (0.632)	Data 0.002 (0.012)	Loss 5.0915 (5.1177)	Top-1 acc 12.891 (9.872)	Top-5 acc 27.734 (25.587)	lr 0.04020
Warmup Train [12][1460/2134]	Time 0.734 (0.632)	Data 0.002 (0.012)	Loss 5.1863 (5.1176)	Top-1 acc 7.812 (9.873)	Top-5 acc 22.266 (25.599)	lr 0.04019
Warmup Train [12][1470/2134]	Time 0.706 (0.632)	Data 0.005 (0.012)	Loss 5.0784 (5.1175)	Top-1 acc 12.109 (9.875)	Top-5 acc 25.391 (25.598)	lr 0.04018
Warmup Train [12][1480/2134]	Time 0.627 (0.631)	Data 0.002 (0.012)	Loss 5.1552 (5.1173)	Top-1 acc 7.812 (9.875)	Top-5 acc 25.391 (25.607)	lr 0.04018
Warmup Train [12][1490/2134]	Time 0.638 (0.631)	Data 0.002 (0.012)	Loss 5.0697 (5.1171)	Top-1 acc 9.766 (9.873)	Top-5 acc 23.438 (25.605)	lr 0.04017
Warmup Train [12][1500/2134]	Time 0.589 (0.631)	Data 0.002 (0.012)	Loss 5.1525 (5.1169)	Top-1 acc 11.328 (9.878)	Top-5 acc 25.000 (25.613)	lr 0.04016
Warmup Train [12][1510/2134]	Time 0.613 (0.631)	Data 0.002 (0.012)	Loss 5.0045 (5.1165)	Top-1 acc 8.203 (9.882)	Top-5 acc 31.250 (25.625)	lr 0.04016
Warmup Train [12][1520/2134]	Time 0.696 (0.631)	Data 0.002 (0.012)	Loss 5.1328 (5.1163)	Top-1 acc 7.812 (9.885)	Top-5 acc 26.172 (25.627)	lr 0.04015
Warmup Train [12][1530/2134]	Time 0.609 (0.631)	Data 0.002 (0.012)	Loss 5.0470 (5.1163)	Top-1 acc 10.156 (9.884)	Top-5 acc 27.734 (25.635)	lr 0.04014
Warmup Train [12][1540/2134]	Time 0.636 (0.631)	Data 0.002 (0.012)	Loss 5.0877 (5.1160)	Top-1 acc 11.328 (9.887)	Top-5 acc 30.078 (25.648)	lr 0.04013
Warmup Train [12][1550/2134]	Time 0.576 (0.631)	Data 0.002 (0.012)	Loss 5.0135 (5.1159)	Top-1 acc 9.766 (9.885)	Top-5 acc 25.781 (25.648)	lr 0.04013
Warmup Train [12][1560/2134]	Time 0.730 (0.631)	Data 0.003 (0.012)	Loss 5.1738 (5.1160)	Top-1 acc 7.812 (9.883)	Top-5 acc 23.828 (25.649)	lr 0.04012
Warmup Train [12][1570/2134]	Time 0.680 (0.631)	Data 0.002 (0.011)	Loss 5.1334 (5.1157)	Top-1 acc 8.203 (9.885)	Top-5 acc 26.562 (25.653)	lr 0.04011
Warmup Train [12][1580/2134]	Time 0.664 (0.631)	Data 0.003 (0.011)	Loss 5.1119 (5.1158)	Top-1 acc 10.547 (9.887)	Top-5 acc 23.828 (25.653)	lr 0.04010
Warmup Train [12][1590/2134]	Time 0.382 (0.631)	Data 0.002 (0.011)	Loss 5.1773 (5.1157)	Top-1 acc 6.641 (9.894)	Top-5 acc 26.172 (25.662)	lr 0.04010
Warmup Train [12][1600/2134]	Time 0.518 (0.631)	Data 0.002 (0.011)	Loss 5.0094 (5.1156)	Top-1 acc 11.719 (9.889)	Top-5 acc 29.297 (25.663)	lr 0.04009
Warmup Train [12][1610/2134]	Time 0.461 (0.631)	Data 0.002 (0.011)	Loss 5.1529 (5.1157)	Top-1 acc 7.422 (9.889)	Top-5 acc 20.703 (25.660)	lr 0.04008
Warmup Train [12][1620/2134]	Time 0.632 (0.631)	Data 0.002 (0.011)	Loss 5.2544 (5.1154)	Top-1 acc 7.422 (9.888)	Top-5 acc 22.656 (25.668)	lr 0.04008
Warmup Train [12][1630/2134]	Time 0.599 (0.630)	Data 0.002 (0.011)	Loss 5.0530 (5.1153)	Top-1 acc 12.109 (9.896)	Top-5 acc 29.688 (25.675)	lr 0.04007
Warmup Train [12][1640/2134]	Time 0.662 (0.630)	Data 0.002 (0.011)	Loss 5.1638 (5.1154)	Top-1 acc 7.812 (9.894)	Top-5 acc 23.047 (25.676)	lr 0.04006
Warmup Train [12][1650/2134]	Time 0.616 (0.631)	Data 0.002 (0.011)	Loss 5.1071 (5.1154)	Top-1 acc 11.328 (9.899)	Top-5 acc 28.516 (25.676)	lr 0.04005
Warmup Train [12][1660/2134]	Time 0.635 (0.631)	Data 0.002 (0.011)	Loss 5.2252 (5.1155)	Top-1 acc 12.891 (9.899)	Top-5 acc 24.609 (25.675)	lr 0.04005
Warmup Train [12][1670/2134]	Time 0.548 (0.631)	Data 0.002 (0.011)	Loss 5.4048 (5.1157)	Top-1 acc 7.422 (9.897)	Top-5 acc 21.094 (25.679)	lr 0.04004
Warmup Train [12][1680/2134]	Time 0.695 (0.630)	Data 0.002 (0.011)	Loss 5.2207 (5.1156)	Top-1 acc 11.328 (9.904)	Top-5 acc 27.344 (25.679)	lr 0.04003
Warmup Train [12][1690/2134]	Time 0.402 (0.630)	Data 0.002 (0.011)	Loss 5.0896 (5.1155)	Top-1 acc 8.984 (9.906)	Top-5 acc 26.953 (25.682)	lr 0.04002
Warmup Train [12][1700/2134]	Time 0.403 (0.630)	Data 0.003 (0.011)	Loss 5.0207 (5.1154)	Top-1 acc 7.812 (9.906)	Top-5 acc 25.391 (25.687)	lr 0.04002
Warmup Train [12][1710/2134]	Time 0.626 (0.630)	Data 0.002 (0.011)	Loss 5.2664 (5.1154)	Top-1 acc 6.641 (9.906)	Top-5 acc 22.656 (25.689)	lr 0.04001
Warmup Train [12][1720/2134]	Time 0.519 (0.630)	Data 0.002 (0.011)	Loss 5.0799 (5.1152)	Top-1 acc 7.422 (9.907)	Top-5 acc 25.000 (25.688)	lr 0.04000
Warmup Train [12][1730/2134]	Time 0.695 (0.630)	Data 0.002 (0.011)	Loss 5.0872 (5.1150)	Top-1 acc 9.375 (9.909)	Top-5 acc 23.047 (25.691)	lr 0.03999
Warmup Train [12][1740/2134]	Time 0.546 (0.630)	Data 0.002 (0.011)	Loss 5.0518 (5.1150)	Top-1 acc 9.375 (9.911)	Top-5 acc 27.734 (25.691)	lr 0.03999
Warmup Train [12][1750/2134]	Time 0.646 (0.630)	Data 0.002 (0.011)	Loss 5.1723 (5.1150)	Top-1 acc 10.156 (9.910)	Top-5 acc 25.000 (25.689)	lr 0.03998
Warmup Train [12][1760/2134]	Time 0.557 (0.629)	Data 0.003 (0.011)	Loss 5.2367 (5.1149)	Top-1 acc 8.984 (9.910)	Top-5 acc 23.047 (25.695)	lr 0.03997
Warmup Train [12][1770/2134]	Time 1.631 (0.630)	Data 0.002 (0.011)	Loss 5.0645 (5.1145)	Top-1 acc 9.766 (9.915)	Top-5 acc 28.125 (25.705)	lr 0.03996
Warmup Train [12][1780/2134]	Time 0.530 (0.630)	Data 0.002 (0.011)	Loss 5.0721 (5.1143)	Top-1 acc 10.938 (9.918)	Top-5 acc 25.000 (25.705)	lr 0.03996
Warmup Train [12][1790/2134]	Time 0.403 (0.629)	Data 0.002 (0.011)	Loss 5.0927 (5.1141)	Top-1 acc 8.984 (9.920)	Top-5 acc 26.562 (25.709)	lr 0.03995
Warmup Train [12][1800/2134]	Time 0.489 (0.629)	Data 0.002 (0.011)	Loss 5.0250 (5.1141)	Top-1 acc 15.234 (9.925)	Top-5 acc 31.641 (25.709)	lr 0.03994
Warmup Train [12][1810/2134]	Time 0.529 (0.629)	Data 0.002 (0.011)	Loss 5.0016 (5.1139)	Top-1 acc 10.938 (9.927)	Top-5 acc 30.078 (25.709)	lr 0.03994
Warmup Train [12][1820/2134]	Time 0.635 (0.629)	Data 0.002 (0.011)	Loss 5.0351 (5.1137)	Top-1 acc 8.984 (9.928)	Top-5 acc 25.391 (25.715)	lr 0.03993
Warmup Train [12][1830/2134]	Time 0.592 (0.629)	Data 0.002 (0.011)	Loss 5.1356 (5.1136)	Top-1 acc 9.766 (9.926)	Top-5 acc 27.344 (25.716)	lr 0.03992
Warmup Train [12][1840/2134]	Time 0.547 (0.629)	Data 0.002 (0.011)	Loss 5.0970 (5.1132)	Top-1 acc 9.766 (9.929)	Top-5 acc 23.047 (25.723)	lr 0.03991
Warmup Train [12][1850/2134]	Time 0.673 (0.629)	Data 0.003 (0.011)	Loss 5.0090 (5.1129)	Top-1 acc 13.672 (9.931)	Top-5 acc 30.469 (25.732)	lr 0.03991
Warmup Train [12][1860/2134]	Time 0.529 (0.629)	Data 0.002 (0.011)	Loss 5.2464 (5.1129)	Top-1 acc 8.203 (9.927)	Top-5 acc 21.875 (25.737)	lr 0.03990
Warmup Train [12][1870/2134]	Time 0.487 (0.629)	Data 0.002 (0.011)	Loss 5.0005 (5.1129)	Top-1 acc 8.984 (9.923)	Top-5 acc 27.344 (25.732)	lr 0.03989
Warmup Train [12][1880/2134]	Time 0.600 (0.629)	Data 0.002 (0.011)	Loss 5.1493 (5.1126)	Top-1 acc 9.375 (9.921)	Top-5 acc 25.781 (25.733)	lr 0.03988
Warmup Train [12][1890/2134]	Time 0.806 (0.629)	Data 0.002 (0.011)	Loss 4.9058 (5.1124)	Top-1 acc 10.938 (9.926)	Top-5 acc 28.125 (25.740)	lr 0.03988
Warmup Train [12][1900/2134]	Time 0.588 (0.629)	Data 0.002 (0.011)	Loss 5.2460 (5.1121)	Top-1 acc 11.328 (9.931)	Top-5 acc 24.219 (25.756)	lr 0.03987
Warmup Train [12][1910/2134]	Time 0.493 (0.629)	Data 0.003 (0.011)	Loss 5.1373 (5.1118)	Top-1 acc 10.938 (9.935)	Top-5 acc 27.734 (25.767)	lr 0.03986
Warmup Train [12][1920/2134]	Time 0.590 (0.629)	Data 0.002 (0.011)	Loss 5.1682 (5.1119)	Top-1 acc 8.594 (9.933)	Top-5 acc 21.484 (25.759)	lr 0.03985
Warmup Train [12][1930/2134]	Time 0.522 (0.629)	Data 0.002 (0.011)	Loss 5.0639 (5.1118)	Top-1 acc 12.891 (9.932)	Top-5 acc 25.781 (25.757)	lr 0.03985
Warmup Train [12][1940/2134]	Time 0.626 (0.629)	Data 0.002 (0.011)	Loss 5.1508 (5.1115)	Top-1 acc 10.156 (9.934)	Top-5 acc 27.734 (25.769)	lr 0.03984
Warmup Train [12][1950/2134]	Time 0.792 (0.629)	Data 0.002 (0.011)	Loss 4.8723 (5.1114)	Top-1 acc 15.234 (9.942)	Top-5 acc 32.812 (25.776)	lr 0.03983
Warmup Train [12][1960/2134]	Time 0.662 (0.629)	Data 0.002 (0.011)	Loss 5.1251 (5.1112)	Top-1 acc 11.328 (9.948)	Top-5 acc 24.219 (25.786)	lr 0.03982
Warmup Train [12][1970/2134]	Time 0.635 (0.628)	Data 0.002 (0.011)	Loss 4.9107 (5.1108)	Top-1 acc 12.891 (9.956)	Top-5 acc 28.906 (25.795)	lr 0.03982
Warmup Train [12][1980/2134]	Time 0.602 (0.628)	Data 0.003 (0.011)	Loss 5.0712 (5.1106)	Top-1 acc 11.328 (9.957)	Top-5 acc 27.344 (25.800)	lr 0.03981
Warmup Train [12][1990/2134]	Time 0.612 (0.628)	Data 0.002 (0.011)	Loss 5.0185 (5.1104)	Top-1 acc 11.719 (9.958)	Top-5 acc 27.344 (25.802)	lr 0.03980
Warmup Train [12][2000/2134]	Time 0.638 (0.628)	Data 0.002 (0.011)	Loss 5.0664 (5.1101)	Top-1 acc 10.547 (9.960)	Top-5 acc 25.391 (25.810)	lr 0.03979
Warmup Train [12][2010/2134]	Time 0.574 (0.628)	Data 0.002 (0.011)	Loss 5.0196 (5.1097)	Top-1 acc 9.375 (9.967)	Top-5 acc 28.125 (25.823)	lr 0.03979
Warmup Train [12][2020/2134]	Time 0.708 (0.629)	Data 0.002 (0.011)	Loss 5.1341 (5.1098)	Top-1 acc 9.766 (9.964)	Top-5 acc 23.828 (25.824)	lr 0.03978
Warmup Train [12][2030/2134]	Time 0.597 (0.629)	Data 0.003 (0.011)	Loss 5.2138 (5.1097)	Top-1 acc 8.594 (9.961)	Top-5 acc 23.828 (25.823)	lr 0.03977
Warmup Train [12][2040/2134]	Time 0.699 (0.628)	Data 0.003 (0.011)	Loss 5.1307 (5.1097)	Top-1 acc 10.547 (9.962)	Top-5 acc 26.562 (25.827)	lr 0.03977
Warmup Train [12][2050/2134]	Time 0.608 (0.628)	Data 0.002 (0.011)	Loss 5.1021 (5.1096)	Top-1 acc 10.156 (9.964)	Top-5 acc 25.000 (25.833)	lr 0.03976
Warmup Train [12][2060/2134]	Time 0.723 (0.628)	Data 0.002 (0.011)	Loss 4.9632 (5.1093)	Top-1 acc 14.062 (9.970)	Top-5 acc 30.469 (25.847)	lr 0.03975
Warmup Train [12][2070/2134]	Time 0.699 (0.628)	Data 0.002 (0.011)	Loss 5.2031 (5.1092)	Top-1 acc 4.297 (9.970)	Top-5 acc 21.875 (25.846)	lr 0.03974
Warmup Train [12][2080/2134]	Time 0.621 (0.628)	Data 0.000 (0.010)	Loss 5.0178 (5.1090)	Top-1 acc 12.891 (9.975)	Top-5 acc 33.984 (25.858)	lr 0.03974
Warmup Train [12][2090/2134]	Time 0.521 (0.628)	Data 0.000 (0.010)	Loss 5.0972 (5.1089)	Top-1 acc 9.766 (9.975)	Top-5 acc 24.219 (25.858)	lr 0.03973
Warmup Train [12][2100/2134]	Time 0.611 (0.628)	Data 0.000 (0.010)	Loss 5.1283 (5.1088)	Top-1 acc 10.547 (9.976)	Top-5 acc 26.172 (25.859)	lr 0.03972
Warmup Train [12][2110/2134]	Time 0.379 (0.627)	Data 0.000 (0.010)	Loss 5.1494 (5.1087)	Top-1 acc 8.594 (9.978)	Top-5 acc 23.828 (25.863)	lr 0.03971
Warmup Train [12][2120/2134]	Time 0.606 (0.627)	Data 0.000 (0.010)	Loss 5.2018 (5.1087)	Top-1 acc 10.938 (9.980)	Top-5 acc 22.266 (25.868)	lr 0.03971
Warmup Train [12][2130/2134]	Time 0.490 (0.627)	Data 0.000 (0.010)	Loss 5.0847 (5.1087)	Top-1 acc 11.328 (9.986)	Top-5 acc 26.953 (25.870)	lr 0.03970
Warmup Train [12][2134/2134]	Time 0.568 (0.627)	Data 0.000 (0.010)	Loss 4.9947 (5.1085)	Top-1 acc 12.834 (9.990)	Top-5 acc 32.620 (25.877)	lr 0.03970
==========Warmup Valid [12/40]	loss 4.373	top-1 acc 13.703	top-5 acc 33.608	Train top-1 9.990	top-5 25.877	flops: 442.4M
Warmup Train [13][0/2134]	Time 11.669 (11.669)	Data 9.510 (9.510)	Loss 5.1453 (5.1453)	Top-1 acc 7.812 (7.812)	Top-5 acc 25.391 (25.391)	lr 0.03969
Warmup Train [13][10/2134]	Time 0.707 (1.708)	Data 0.003 (0.878)	Loss 4.9803 (5.0667)	Top-1 acc 8.203 (9.446)	Top-5 acc 25.391 (26.243)	lr 0.03969
Warmup Train [13][20/2134]	Time 0.685 (1.201)	Data 0.003 (0.462)	Loss 5.1572 (5.0597)	Top-1 acc 9.766 (10.045)	Top-5 acc 25.781 (27.083)	lr 0.03968
Warmup Train [13][30/2134]	Time 0.733 (1.013)	Data 0.002 (0.314)	Loss 4.8314 (5.0504)	Top-1 acc 16.406 (10.597)	Top-5 acc 35.938 (27.508)	lr 0.03967
Warmup Train [13][40/2134]	Time 0.638 (0.919)	Data 0.003 (0.238)	Loss 5.0522 (5.0554)	Top-1 acc 11.719 (10.699)	Top-5 acc 28.906 (27.382)	lr 0.03966
Warmup Train [13][50/2134]	Time 0.619 (0.861)	Data 0.002 (0.192)	Loss 4.9549 (5.0430)	Top-1 acc 12.109 (10.784)	Top-5 acc 27.344 (27.505)	lr 0.03966
Warmup Train [13][60/2134]	Time 0.680 (0.819)	Data 0.002 (0.161)	Loss 5.0386 (5.0383)	Top-1 acc 10.156 (10.771)	Top-5 acc 27.344 (27.638)	lr 0.03965
Warmup Train [13][70/2134]	Time 0.509 (0.791)	Data 0.002 (0.140)	Loss 4.9062 (5.0328)	Top-1 acc 11.719 (10.893)	Top-5 acc 30.078 (27.762)	lr 0.03964
Warmup Train [13][80/2134]	Time 0.605 (0.770)	Data 0.002 (0.125)	Loss 5.0920 (5.0315)	Top-1 acc 8.984 (10.807)	Top-5 acc 28.125 (27.821)	lr 0.03964
Warmup Train [13][90/2134]	Time 0.634 (0.770)	Data 0.002 (0.111)	Loss 5.0955 (5.0331)	Top-1 acc 8.594 (10.736)	Top-5 acc 26.953 (27.842)	lr 0.03963
Warmup Train [13][100/2134]	Time 0.514 (0.753)	Data 0.002 (0.101)	Loss 5.0964 (5.0349)	Top-1 acc 10.156 (10.725)	Top-5 acc 26.953 (27.831)	lr 0.03962
Warmup Train [13][110/2134]	Time 0.609 (0.744)	Data 0.002 (0.094)	Loss 4.9624 (5.0363)	Top-1 acc 12.109 (10.670)	Top-5 acc 29.297 (27.770)	lr 0.03961
Warmup Train [13][120/2134]	Time 0.488 (0.731)	Data 0.003 (0.086)	Loss 5.1404 (5.0362)	Top-1 acc 11.328 (10.715)	Top-5 acc 23.438 (27.725)	lr 0.03961
Warmup Train [13][130/2134]	Time 0.689 (0.723)	Data 0.002 (0.081)	Loss 5.1361 (5.0395)	Top-1 acc 9.375 (10.714)	Top-5 acc 26.172 (27.630)	lr 0.03960
Warmup Train [13][140/2134]	Time 0.654 (0.716)	Data 0.002 (0.075)	Loss 5.2504 (5.0433)	Top-1 acc 7.031 (10.669)	Top-5 acc 23.438 (27.535)	lr 0.03959
Warmup Train [13][150/2134]	Time 0.632 (0.709)	Data 0.003 (0.071)	Loss 5.1373 (5.0442)	Top-1 acc 10.938 (10.684)	Top-5 acc 25.781 (27.582)	lr 0.03958
Warmup Train [13][160/2134]	Time 0.566 (0.703)	Data 0.002 (0.067)	Loss 5.0575 (5.0466)	Top-1 acc 10.156 (10.656)	Top-5 acc 30.859 (27.531)	lr 0.03958
Warmup Train [13][170/2134]	Time 0.559 (0.697)	Data 0.002 (0.063)	Loss 5.1265 (5.0468)	Top-1 acc 10.156 (10.602)	Top-5 acc 28.125 (27.485)	lr 0.03957
Warmup Train [13][180/2134]	Time 0.653 (0.694)	Data 0.002 (0.060)	Loss 5.0522 (5.0480)	Top-1 acc 9.375 (10.629)	Top-5 acc 30.859 (27.497)	lr 0.03956
Warmup Train [13][190/2134]	Time 0.558 (0.689)	Data 0.002 (0.057)	Loss 5.1654 (5.0486)	Top-1 acc 10.156 (10.655)	Top-5 acc 26.172 (27.497)	lr 0.03955
Warmup Train [13][200/2134]	Time 0.632 (0.686)	Data 0.003 (0.055)	Loss 5.0608 (5.0473)	Top-1 acc 11.328 (10.710)	Top-5 acc 28.516 (27.610)	lr 0.03955
Warmup Train [13][210/2134]	Time 0.520 (0.690)	Data 0.002 (0.052)	Loss 4.9979 (5.0479)	Top-1 acc 10.156 (10.691)	Top-5 acc 31.641 (27.573)	lr 0.03954
Warmup Train [13][220/2134]	Time 0.606 (0.687)	Data 0.002 (0.050)	Loss 5.1411 (5.0514)	Top-1 acc 10.938 (10.646)	Top-5 acc 27.734 (27.457)	lr 0.03953
Warmup Train [13][230/2134]	Time 0.616 (0.684)	Data 0.002 (0.048)	Loss 5.0273 (5.0511)	Top-1 acc 12.109 (10.645)	Top-5 acc 28.125 (27.460)	lr 0.03952
Warmup Train [13][240/2134]	Time 0.648 (0.680)	Data 0.002 (0.047)	Loss 5.0048 (5.0521)	Top-1 acc 12.500 (10.638)	Top-5 acc 27.344 (27.412)	lr 0.03952
Warmup Train [13][250/2134]	Time 0.618 (0.678)	Data 0.002 (0.045)	Loss 5.0170 (5.0509)	Top-1 acc 12.500 (10.657)	Top-5 acc 30.469 (27.456)	lr 0.03951
Warmup Train [13][260/2134]	Time 0.374 (0.674)	Data 0.002 (0.044)	Loss 5.1125 (5.0510)	Top-1 acc 8.984 (10.710)	Top-5 acc 26.562 (27.462)	lr 0.03950
Warmup Train [13][270/2134]	Time 0.518 (0.672)	Data 0.003 (0.043)	Loss 5.1787 (5.0509)	Top-1 acc 11.719 (10.717)	Top-5 acc 26.562 (27.423)	lr 0.03949
Warmup Train [13][280/2134]	Time 0.608 (0.670)	Data 0.003 (0.042)	Loss 5.1356 (5.0508)	Top-1 acc 8.984 (10.722)	Top-5 acc 27.344 (27.455)	lr 0.03949
Warmup Train [13][290/2134]	Time 0.602 (0.667)	Data 0.002 (0.040)	Loss 5.0835 (5.0515)	Top-1 acc 11.328 (10.723)	Top-5 acc 26.172 (27.463)	lr 0.03948
Warmup Train [13][300/2134]	Time 0.706 (0.665)	Data 0.002 (0.039)	Loss 4.9711 (5.0518)	Top-1 acc 16.406 (10.726)	Top-5 acc 30.859 (27.468)	lr 0.03947
Warmup Train [13][310/2134]	Time 0.599 (0.664)	Data 0.003 (0.038)	Loss 5.0446 (5.0523)	Top-1 acc 8.203 (10.726)	Top-5 acc 28.516 (27.471)	lr 0.03946
Warmup Train [13][320/2134]	Time 0.599 (0.662)	Data 0.002 (0.037)	Loss 5.0684 (5.0529)	Top-1 acc 9.375 (10.692)	Top-5 acc 26.562 (27.452)	lr 0.03946
Warmup Train [13][330/2134]	Time 0.662 (0.664)	Data 0.002 (0.036)	Loss 5.1236 (5.0531)	Top-1 acc 7.422 (10.688)	Top-5 acc 23.828 (27.442)	lr 0.03945
Warmup Train [13][340/2134]	Time 0.668 (0.663)	Data 0.003 (0.035)	Loss 5.0581 (5.0531)	Top-1 acc 9.375 (10.699)	Top-5 acc 29.688 (27.439)	lr 0.03944
Warmup Train [13][350/2134]	Time 0.750 (0.662)	Data 0.002 (0.034)	Loss 5.0621 (5.0534)	Top-1 acc 10.156 (10.674)	Top-5 acc 26.953 (27.413)	lr 0.03943
Warmup Train [13][360/2134]	Time 0.627 (0.661)	Data 0.004 (0.033)	Loss 4.9939 (5.0537)	Top-1 acc 10.547 (10.666)	Top-5 acc 29.297 (27.419)	lr 0.03943
Warmup Train [13][370/2134]	Time 0.551 (0.660)	Data 0.002 (0.032)	Loss 5.0794 (5.0542)	Top-1 acc 10.156 (10.651)	Top-5 acc 22.656 (27.376)	lr 0.03942
Warmup Train [13][380/2134]	Time 0.641 (0.658)	Data 0.002 (0.032)	Loss 5.0005 (5.0554)	Top-1 acc 12.109 (10.638)	Top-5 acc 28.906 (27.347)	lr 0.03941
Warmup Train [13][390/2134]	Time 0.452 (0.657)	Data 0.002 (0.031)	Loss 5.0665 (5.0553)	Top-1 acc 11.719 (10.650)	Top-5 acc 27.734 (27.335)	lr 0.03940
Warmup Train [13][400/2134]	Time 0.585 (0.656)	Data 0.002 (0.031)	Loss 5.0178 (5.0547)	Top-1 acc 9.375 (10.659)	Top-5 acc 27.344 (27.357)	lr 0.03940
Warmup Train [13][410/2134]	Time 0.549 (0.655)	Data 0.002 (0.030)	Loss 4.9743 (5.0535)	Top-1 acc 12.109 (10.669)	Top-5 acc 29.688 (27.369)	lr 0.03939
Warmup Train [13][420/2134]	Time 0.531 (0.654)	Data 0.003 (0.030)	Loss 4.9885 (5.0536)	Top-1 acc 11.719 (10.662)	Top-5 acc 32.031 (27.374)	lr 0.03938
Warmup Train [13][430/2134]	Time 0.677 (0.653)	Data 0.002 (0.029)	Loss 5.1264 (5.0543)	Top-1 acc 10.547 (10.669)	Top-5 acc 25.781 (27.346)	lr 0.03937
Warmup Train [13][440/2134]	Time 0.559 (0.652)	Data 0.002 (0.029)	Loss 5.1117 (5.0538)	Top-1 acc 10.156 (10.689)	Top-5 acc 28.125 (27.364)	lr 0.03937
Warmup Train [13][450/2134]	Time 0.438 (0.654)	Data 0.002 (0.028)	Loss 5.0280 (5.0531)	Top-1 acc 9.375 (10.692)	Top-5 acc 25.391 (27.387)	lr 0.03936
Warmup Train [13][460/2134]	Time 0.576 (0.653)	Data 0.002 (0.028)	Loss 5.1478 (5.0532)	Top-1 acc 8.984 (10.670)	Top-5 acc 24.609 (27.368)	lr 0.03935
Warmup Train [13][470/2134]	Time 0.716 (0.652)	Data 0.002 (0.027)	Loss 5.0362 (5.0540)	Top-1 acc 8.594 (10.662)	Top-5 acc 25.781 (27.368)	lr 0.03934
Warmup Train [13][480/2134]	Time 0.633 (0.651)	Data 0.002 (0.027)	Loss 4.9459 (5.0542)	Top-1 acc 12.109 (10.649)	Top-5 acc 32.812 (27.379)	lr 0.03934
Warmup Train [13][490/2134]	Time 0.433 (0.649)	Data 0.004 (0.027)	Loss 5.1065 (5.0544)	Top-1 acc 11.719 (10.655)	Top-5 acc 28.516 (27.385)	lr 0.03933
Warmup Train [13][500/2134]	Time 0.499 (0.649)	Data 0.003 (0.026)	Loss 4.9923 (5.0552)	Top-1 acc 12.500 (10.649)	Top-5 acc 28.906 (27.361)	lr 0.03932
Warmup Train [13][510/2134]	Time 0.611 (0.649)	Data 0.003 (0.026)	Loss 4.9566 (5.0542)	Top-1 acc 13.672 (10.680)	Top-5 acc 33.203 (27.396)	lr 0.03931
Warmup Train [13][520/2134]	Time 0.596 (0.648)	Data 0.002 (0.026)	Loss 5.0878 (5.0536)	Top-1 acc 6.641 (10.679)	Top-5 acc 24.219 (27.398)	lr 0.03931
Warmup Train [13][530/2134]	Time 0.661 (0.648)	Data 0.002 (0.025)	Loss 5.1923 (5.0545)	Top-1 acc 7.812 (10.669)	Top-5 acc 21.484 (27.376)	lr 0.03930
Warmup Train [13][540/2134]	Time 0.583 (0.647)	Data 0.002 (0.025)	Loss 4.9322 (5.0542)	Top-1 acc 12.891 (10.671)	Top-5 acc 32.422 (27.380)	lr 0.03929
Warmup Train [13][550/2134]	Time 0.689 (0.647)	Data 0.002 (0.025)	Loss 5.1446 (5.0543)	Top-1 acc 10.938 (10.677)	Top-5 acc 26.562 (27.387)	lr 0.03928
Warmup Train [13][560/2134]	Time 0.749 (0.646)	Data 0.002 (0.024)	Loss 4.9457 (5.0539)	Top-1 acc 12.891 (10.683)	Top-5 acc 28.125 (27.402)	lr 0.03927
Warmup Train [13][570/2134]	Time 1.858 (0.648)	Data 0.002 (0.024)	Loss 4.9193 (5.0524)	Top-1 acc 12.891 (10.714)	Top-5 acc 31.250 (27.429)	lr 0.03927
Warmup Train [13][580/2134]	Time 0.757 (0.647)	Data 0.002 (0.023)	Loss 5.0423 (5.0520)	Top-1 acc 12.109 (10.702)	Top-5 acc 26.172 (27.416)	lr 0.03926
Warmup Train [13][590/2134]	Time 0.690 (0.647)	Data 0.003 (0.023)	Loss 5.1490 (5.0515)	Top-1 acc 8.203 (10.696)	Top-5 acc 25.000 (27.414)	lr 0.03925
Warmup Train [13][600/2134]	Time 0.633 (0.646)	Data 0.003 (0.023)	Loss 4.9869 (5.0521)	Top-1 acc 12.109 (10.704)	Top-5 acc 26.562 (27.411)	lr 0.03924
Warmup Train [13][610/2134]	Time 0.603 (0.646)	Data 0.003 (0.023)	Loss 5.1276 (5.0517)	Top-1 acc 11.719 (10.711)	Top-5 acc 27.344 (27.433)	lr 0.03924
Warmup Train [13][620/2134]	Time 0.669 (0.645)	Data 0.002 (0.022)	Loss 5.0070 (5.0511)	Top-1 acc 13.672 (10.730)	Top-5 acc 30.469 (27.451)	lr 0.03923
Warmup Train [13][630/2134]	Time 0.692 (0.645)	Data 0.002 (0.022)	Loss 5.0860 (5.0512)	Top-1 acc 11.328 (10.736)	Top-5 acc 28.125 (27.448)	lr 0.03922
Warmup Train [13][640/2134]	Time 0.628 (0.644)	Data 0.002 (0.022)	Loss 5.0039 (5.0508)	Top-1 acc 9.766 (10.736)	Top-5 acc 25.391 (27.438)	lr 0.03921
Warmup Train [13][650/2134]	Time 0.515 (0.644)	Data 0.004 (0.022)	Loss 5.0774 (5.0495)	Top-1 acc 8.984 (10.750)	Top-5 acc 23.828 (27.449)	lr 0.03921
Warmup Train [13][660/2134]	Time 0.776 (0.644)	Data 0.002 (0.021)	Loss 5.1163 (5.0494)	Top-1 acc 8.594 (10.749)	Top-5 acc 26.953 (27.448)	lr 0.03920
Warmup Train [13][670/2134]	Time 0.530 (0.643)	Data 0.002 (0.021)	Loss 4.8845 (5.0485)	Top-1 acc 16.797 (10.769)	Top-5 acc 33.594 (27.483)	lr 0.03919
Warmup Train [13][680/2134]	Time 0.788 (0.642)	Data 0.002 (0.021)	Loss 5.1261 (5.0480)	Top-1 acc 10.156 (10.779)	Top-5 acc 27.344 (27.485)	lr 0.03918
Warmup Train [13][690/2134]	Time 0.654 (0.642)	Data 0.002 (0.021)	Loss 5.1940 (5.0480)	Top-1 acc 7.812 (10.791)	Top-5 acc 20.312 (27.483)	lr 0.03918
Warmup Train [13][700/2134]	Time 0.596 (0.643)	Data 0.003 (0.021)	Loss 4.9508 (5.0478)	Top-1 acc 8.984 (10.790)	Top-5 acc 27.734 (27.480)	lr 0.03917
Warmup Train [13][710/2134]	Time 0.670 (0.643)	Data 0.002 (0.020)	Loss 4.7975 (5.0472)	Top-1 acc 12.109 (10.788)	Top-5 acc 33.203 (27.498)	lr 0.03916
Warmup Train [13][720/2134]	Time 0.612 (0.642)	Data 0.002 (0.020)	Loss 4.9894 (5.0470)	Top-1 acc 12.891 (10.792)	Top-5 acc 32.812 (27.499)	lr 0.03915
Warmup Train [13][730/2134]	Time 0.684 (0.642)	Data 0.002 (0.020)	Loss 4.9856 (5.0462)	Top-1 acc 12.500 (10.795)	Top-5 acc 28.906 (27.517)	lr 0.03915
Warmup Train [13][740/2134]	Time 0.466 (0.641)	Data 0.002 (0.020)	Loss 5.1660 (5.0457)	Top-1 acc 10.156 (10.806)	Top-5 acc 25.391 (27.536)	lr 0.03914
Warmup Train [13][750/2134]	Time 0.509 (0.641)	Data 0.002 (0.020)	Loss 5.0658 (5.0457)	Top-1 acc 13.281 (10.816)	Top-5 acc 26.562 (27.526)	lr 0.03913
Warmup Train [13][760/2134]	Time 0.655 (0.641)	Data 0.002 (0.020)	Loss 5.0267 (5.0457)	Top-1 acc 10.547 (10.825)	Top-5 acc 28.516 (27.530)	lr 0.03912
Warmup Train [13][770/2134]	Time 0.717 (0.640)	Data 0.004 (0.019)	Loss 5.1589 (5.0457)	Top-1 acc 11.719 (10.817)	Top-5 acc 25.000 (27.518)	lr 0.03912
Warmup Train [13][780/2134]	Time 0.399 (0.640)	Data 0.003 (0.019)	Loss 4.9796 (5.0456)	Top-1 acc 13.672 (10.814)	Top-5 acc 29.297 (27.513)	lr 0.03911
Warmup Train [13][790/2134]	Time 0.536 (0.639)	Data 0.002 (0.019)	Loss 5.0986 (5.0456)	Top-1 acc 6.250 (10.813)	Top-5 acc 25.000 (27.513)	lr 0.03910
Warmup Train [13][800/2134]	Time 0.688 (0.639)	Data 0.002 (0.019)	Loss 4.9446 (5.0451)	Top-1 acc 8.594 (10.816)	Top-5 acc 29.297 (27.529)	lr 0.03909
Warmup Train [13][810/2134]	Time 0.811 (0.639)	Data 0.002 (0.019)	Loss 5.0897 (5.0447)	Top-1 acc 9.766 (10.822)	Top-5 acc 26.953 (27.536)	lr 0.03909
Warmup Train [13][820/2134]	Time 1.712 (0.640)	Data 0.002 (0.019)	Loss 5.0595 (5.0450)	Top-1 acc 10.547 (10.818)	Top-5 acc 28.906 (27.530)	lr 0.03908
Warmup Train [13][830/2134]	Time 0.415 (0.639)	Data 0.002 (0.019)	Loss 5.1069 (5.0450)	Top-1 acc 10.156 (10.822)	Top-5 acc 23.828 (27.538)	lr 0.03907
Warmup Train [13][840/2134]	Time 0.514 (0.639)	Data 0.004 (0.019)	Loss 4.9573 (5.0447)	Top-1 acc 12.891 (10.826)	Top-5 acc 27.734 (27.536)	lr 0.03906
Warmup Train [13][850/2134]	Time 0.563 (0.639)	Data 0.002 (0.019)	Loss 4.9632 (5.0448)	Top-1 acc 10.938 (10.820)	Top-5 acc 27.734 (27.529)	lr 0.03906
Warmup Train [13][860/2134]	Time 0.591 (0.638)	Data 0.002 (0.018)	Loss 4.9988 (5.0447)	Top-1 acc 14.062 (10.822)	Top-5 acc 26.172 (27.536)	lr 0.03905
Warmup Train [13][870/2134]	Time 0.593 (0.638)	Data 0.002 (0.018)	Loss 5.0697 (5.0452)	Top-1 acc 13.281 (10.819)	Top-5 acc 28.125 (27.514)	lr 0.03904
Warmup Train [13][880/2134]	Time 0.612 (0.638)	Data 0.003 (0.018)	Loss 4.9634 (5.0452)	Top-1 acc 11.719 (10.811)	Top-5 acc 28.906 (27.518)	lr 0.03903
Warmup Train [13][890/2134]	Time 0.706 (0.637)	Data 0.003 (0.018)	Loss 4.9879 (5.0451)	Top-1 acc 11.328 (10.809)	Top-5 acc 27.734 (27.516)	lr 0.03902
Warmup Train [13][900/2134]	Time 0.466 (0.637)	Data 0.002 (0.018)	Loss 4.9509 (5.0450)	Top-1 acc 10.547 (10.811)	Top-5 acc 27.344 (27.505)	lr 0.03902
Warmup Train [13][910/2134]	Time 0.599 (0.637)	Data 0.002 (0.018)	Loss 4.9948 (5.0452)	Top-1 acc 10.547 (10.811)	Top-5 acc 28.516 (27.508)	lr 0.03901
Warmup Train [13][920/2134]	Time 0.632 (0.636)	Data 0.002 (0.018)	Loss 4.9554 (5.0451)	Top-1 acc 14.844 (10.807)	Top-5 acc 32.422 (27.518)	lr 0.03900
Warmup Train [13][930/2134]	Time 0.536 (0.635)	Data 0.002 (0.018)	Loss 4.9635 (5.0450)	Top-1 acc 13.281 (10.818)	Top-5 acc 30.469 (27.521)	lr 0.03899
Warmup Train [13][940/2134]	Time 0.519 (0.635)	Data 0.002 (0.018)	Loss 5.0286 (5.0447)	Top-1 acc 9.375 (10.815)	Top-5 acc 30.469 (27.528)	lr 0.03899
Warmup Train [13][950/2134]	Time 0.546 (0.636)	Data 0.002 (0.018)	Loss 5.0670 (5.0446)	Top-1 acc 12.109 (10.815)	Top-5 acc 26.562 (27.521)	lr 0.03898
Warmup Train [13][960/2134]	Time 0.524 (0.636)	Data 0.002 (0.017)	Loss 5.0333 (5.0447)	Top-1 acc 10.547 (10.814)	Top-5 acc 28.125 (27.514)	lr 0.03897
Warmup Train [13][970/2134]	Time 0.642 (0.636)	Data 0.003 (0.017)	Loss 5.0737 (5.0448)	Top-1 acc 10.156 (10.804)	Top-5 acc 25.781 (27.506)	lr 0.03896
Warmup Train [13][980/2134]	Time 0.698 (0.636)	Data 0.003 (0.017)	Loss 5.0362 (5.0444)	Top-1 acc 8.203 (10.810)	Top-5 acc 29.297 (27.523)	lr 0.03896
Warmup Train [13][990/2134]	Time 0.627 (0.636)	Data 0.003 (0.017)	Loss 4.9752 (5.0440)	Top-1 acc 10.156 (10.820)	Top-5 acc 26.953 (27.537)	lr 0.03895
Warmup Train [13][1000/2134]	Time 0.664 (0.635)	Data 0.002 (0.017)	Loss 5.0217 (5.0438)	Top-1 acc 11.328 (10.820)	Top-5 acc 30.078 (27.544)	lr 0.03894
Warmup Train [13][1010/2134]	Time 0.500 (0.635)	Data 0.002 (0.017)	Loss 5.1189 (5.0440)	Top-1 acc 12.109 (10.815)	Top-5 acc 28.906 (27.538)	lr 0.03893
Warmup Train [13][1020/2134]	Time 0.633 (0.635)	Data 0.002 (0.017)	Loss 4.9008 (5.0437)	Top-1 acc 13.672 (10.820)	Top-5 acc 28.516 (27.551)	lr 0.03893
Warmup Train [13][1030/2134]	Time 0.733 (0.635)	Data 0.002 (0.017)	Loss 5.1157 (5.0436)	Top-1 acc 5.859 (10.807)	Top-5 acc 24.219 (27.556)	lr 0.03892
Warmup Train [13][1040/2134]	Time 0.688 (0.634)	Data 0.002 (0.017)	Loss 4.9179 (5.0437)	Top-1 acc 13.281 (10.811)	Top-5 acc 30.469 (27.556)	lr 0.03891
Warmup Train [13][1050/2134]	Time 0.516 (0.634)	Data 0.004 (0.017)	Loss 4.9780 (5.0442)	Top-1 acc 12.500 (10.807)	Top-5 acc 28.906 (27.556)	lr 0.03890
Warmup Train [13][1060/2134]	Time 0.603 (0.634)	Data 0.002 (0.016)	Loss 5.0839 (5.0442)	Top-1 acc 8.203 (10.806)	Top-5 acc 23.828 (27.558)	lr 0.03889
Warmup Train [13][1070/2134]	Time 0.628 (0.635)	Data 0.002 (0.016)	Loss 4.9641 (5.0441)	Top-1 acc 12.109 (10.815)	Top-5 acc 28.906 (27.564)	lr 0.03889
Warmup Train [13][1080/2134]	Time 0.735 (0.635)	Data 0.002 (0.016)	Loss 5.0151 (5.0438)	Top-1 acc 10.547 (10.829)	Top-5 acc 28.906 (27.574)	lr 0.03888
Warmup Train [13][1090/2134]	Time 0.733 (0.634)	Data 0.002 (0.016)	Loss 5.0507 (5.0439)	Top-1 acc 11.328 (10.830)	Top-5 acc 27.344 (27.581)	lr 0.03887
Warmup Train [13][1100/2134]	Time 0.622 (0.634)	Data 0.003 (0.016)	Loss 5.0269 (5.0441)	Top-1 acc 10.547 (10.822)	Top-5 acc 25.781 (27.569)	lr 0.03886
Warmup Train [13][1110/2134]	Time 0.576 (0.634)	Data 0.003 (0.016)	Loss 4.9619 (5.0437)	Top-1 acc 10.938 (10.825)	Top-5 acc 30.469 (27.573)	lr 0.03886
Warmup Train [13][1120/2134]	Time 0.517 (0.633)	Data 0.002 (0.016)	Loss 5.0709 (5.0433)	Top-1 acc 8.984 (10.832)	Top-5 acc 25.781 (27.581)	lr 0.03885
Warmup Train [13][1130/2134]	Time 0.744 (0.633)	Data 0.002 (0.016)	Loss 4.8748 (5.0431)	Top-1 acc 13.672 (10.839)	Top-5 acc 34.375 (27.585)	lr 0.03884
Warmup Train [13][1140/2134]	Time 0.642 (0.633)	Data 0.002 (0.016)	Loss 5.1729 (5.0435)	Top-1 acc 9.375 (10.838)	Top-5 acc 21.484 (27.569)	lr 0.03883
Warmup Train [13][1150/2134]	Time 0.694 (0.633)	Data 0.002 (0.016)	Loss 5.1268 (5.0433)	Top-1 acc 9.375 (10.847)	Top-5 acc 25.000 (27.576)	lr 0.03883
Warmup Train [13][1160/2134]	Time 0.781 (0.633)	Data 0.003 (0.016)	Loss 5.2069 (5.0434)	Top-1 acc 8.203 (10.851)	Top-5 acc 23.828 (27.572)	lr 0.03882
Warmup Train [13][1170/2134]	Time 0.703 (0.633)	Data 0.002 (0.016)	Loss 4.9747 (5.0433)	Top-1 acc 8.984 (10.854)	Top-5 acc 28.906 (27.581)	lr 0.03881
Warmup Train [13][1180/2134]	Time 0.473 (0.633)	Data 0.002 (0.016)	Loss 5.0879 (5.0431)	Top-1 acc 10.938 (10.859)	Top-5 acc 26.562 (27.581)	lr 0.03880
Warmup Train [13][1190/2134]	Time 0.529 (0.633)	Data 0.002 (0.016)	Loss 5.1677 (5.0434)	Top-1 acc 8.984 (10.851)	Top-5 acc 20.703 (27.565)	lr 0.03880
Warmup Train [13][1200/2134]	Time 0.661 (0.634)	Data 0.003 (0.016)	Loss 4.9930 (5.0432)	Top-1 acc 14.453 (10.858)	Top-5 acc 27.734 (27.568)	lr 0.03879
Warmup Train [13][1210/2134]	Time 0.563 (0.633)	Data 0.002 (0.016)	Loss 4.9438 (5.0430)	Top-1 acc 10.156 (10.862)	Top-5 acc 31.641 (27.572)	lr 0.03878
Warmup Train [13][1220/2134]	Time 0.658 (0.633)	Data 0.002 (0.016)	Loss 4.9471 (5.0425)	Top-1 acc 10.156 (10.870)	Top-5 acc 28.516 (27.592)	lr 0.03877
Warmup Train [13][1230/2134]	Time 0.682 (0.633)	Data 0.002 (0.016)	Loss 5.0572 (5.0426)	Top-1 acc 7.422 (10.871)	Top-5 acc 28.516 (27.598)	lr 0.03876
Warmup Train [13][1240/2134]	Time 0.699 (0.633)	Data 0.002 (0.015)	Loss 5.1802 (5.0431)	Top-1 acc 9.375 (10.871)	Top-5 acc 25.781 (27.584)	lr 0.03876
Warmup Train [13][1250/2134]	Time 0.638 (0.633)	Data 0.002 (0.015)	Loss 5.0412 (5.0430)	Top-1 acc 9.375 (10.867)	Top-5 acc 28.906 (27.587)	lr 0.03875
Warmup Train [13][1260/2134]	Time 0.662 (0.633)	Data 0.002 (0.015)	Loss 5.0048 (5.0429)	Top-1 acc 14.844 (10.881)	Top-5 acc 30.078 (27.596)	lr 0.03874
Warmup Train [13][1270/2134]	Time 0.622 (0.633)	Data 0.003 (0.015)	Loss 4.9603 (5.0427)	Top-1 acc 14.844 (10.883)	Top-5 acc 28.125 (27.603)	lr 0.03873
Warmup Train [13][1280/2134]	Time 0.590 (0.633)	Data 0.002 (0.015)	Loss 5.0473 (5.0427)	Top-1 acc 10.547 (10.884)	Top-5 acc 28.125 (27.608)	lr 0.03873
Warmup Train [13][1290/2134]	Time 0.740 (0.632)	Data 0.002 (0.015)	Loss 4.8629 (5.0425)	Top-1 acc 13.281 (10.890)	Top-5 acc 31.641 (27.611)	lr 0.03872
Warmup Train [13][1300/2134]	Time 0.512 (0.632)	Data 0.002 (0.015)	Loss 4.9562 (5.0424)	Top-1 acc 11.328 (10.890)	Top-5 acc 25.000 (27.606)	lr 0.03871
Warmup Train [13][1310/2134]	Time 0.522 (0.632)	Data 0.002 (0.015)	Loss 4.8903 (5.0426)	Top-1 acc 13.672 (10.884)	Top-5 acc 33.984 (27.601)	lr 0.03870
Warmup Train [13][1320/2134]	Time 0.592 (0.632)	Data 0.002 (0.015)	Loss 4.9716 (5.0425)	Top-1 acc 11.719 (10.883)	Top-5 acc 28.516 (27.598)	lr 0.03870
Warmup Train [13][1330/2134]	Time 0.387 (0.632)	Data 0.002 (0.015)	Loss 5.0432 (5.0424)	Top-1 acc 10.938 (10.884)	Top-5 acc 27.734 (27.600)	lr 0.03869
Warmup Train [13][1340/2134]	Time 0.730 (0.632)	Data 0.003 (0.015)	Loss 4.9602 (5.0425)	Top-1 acc 12.109 (10.878)	Top-5 acc 26.953 (27.601)	lr 0.03868
Warmup Train [13][1350/2134]	Time 0.700 (0.632)	Data 0.002 (0.015)	Loss 4.9937 (5.0424)	Top-1 acc 12.109 (10.877)	Top-5 acc 27.344 (27.601)	lr 0.03867
Warmup Train [13][1360/2134]	Time 0.745 (0.632)	Data 0.002 (0.015)	Loss 5.0351 (5.0420)	Top-1 acc 15.625 (10.883)	Top-5 acc 31.250 (27.614)	lr 0.03866
Warmup Train [13][1370/2134]	Time 0.597 (0.632)	Data 0.002 (0.015)	Loss 5.1497 (5.0420)	Top-1 acc 7.031 (10.881)	Top-5 acc 25.391 (27.615)	lr 0.03866
Warmup Train [13][1380/2134]	Time 0.548 (0.631)	Data 0.003 (0.015)	Loss 5.2043 (5.0422)	Top-1 acc 8.203 (10.883)	Top-5 acc 24.219 (27.615)	lr 0.03865
Warmup Train [13][1390/2134]	Time 0.580 (0.631)	Data 0.002 (0.015)	Loss 5.0227 (5.0421)	Top-1 acc 10.547 (10.885)	Top-5 acc 25.000 (27.616)	lr 0.03864
Warmup Train [13][1400/2134]	Time 0.757 (0.631)	Data 0.002 (0.015)	Loss 4.9066 (5.0419)	Top-1 acc 16.016 (10.892)	Top-5 acc 26.953 (27.617)	lr 0.03863
Warmup Train [13][1410/2134]	Time 0.632 (0.631)	Data 0.002 (0.014)	Loss 4.9186 (5.0417)	Top-1 acc 13.672 (10.894)	Top-5 acc 31.641 (27.623)	lr 0.03863
Warmup Train [13][1420/2134]	Time 0.682 (0.631)	Data 0.003 (0.014)	Loss 4.8037 (5.0418)	Top-1 acc 12.891 (10.890)	Top-5 acc 34.375 (27.625)	lr 0.03862
Warmup Train [13][1430/2134]	Time 0.490 (0.631)	Data 0.002 (0.014)	Loss 5.0751 (5.0413)	Top-1 acc 10.156 (10.895)	Top-5 acc 27.344 (27.638)	lr 0.03861
Warmup Train [13][1440/2134]	Time 0.688 (0.631)	Data 0.002 (0.014)	Loss 5.0838 (5.0411)	Top-1 acc 11.328 (10.896)	Top-5 acc 29.297 (27.642)	lr 0.03860
Warmup Train [13][1450/2134]	Time 0.467 (0.631)	Data 0.003 (0.014)	Loss 5.0516 (5.0410)	Top-1 acc 10.156 (10.896)	Top-5 acc 27.344 (27.652)	lr 0.03860
Warmup Train [13][1460/2134]	Time 0.626 (0.631)	Data 0.002 (0.014)	Loss 5.1078 (5.0411)	Top-1 acc 9.766 (10.895)	Top-5 acc 29.297 (27.654)	lr 0.03859
Warmup Train [13][1470/2134]	Time 0.486 (0.631)	Data 0.002 (0.014)	Loss 5.0016 (5.0412)	Top-1 acc 13.672 (10.894)	Top-5 acc 30.469 (27.653)	lr 0.03858
Warmup Train [13][1480/2134]	Time 0.592 (0.631)	Data 0.003 (0.014)	Loss 5.1313 (5.0410)	Top-1 acc 8.594 (10.887)	Top-5 acc 26.172 (27.659)	lr 0.03857
Warmup Train [13][1490/2134]	Time 0.526 (0.631)	Data 0.003 (0.014)	Loss 5.1519 (5.0410)	Top-1 acc 14.062 (10.889)	Top-5 acc 27.344 (27.658)	lr 0.03856
Warmup Train [13][1500/2134]	Time 0.640 (0.631)	Data 0.002 (0.014)	Loss 5.0353 (5.0410)	Top-1 acc 10.938 (10.891)	Top-5 acc 26.562 (27.653)	lr 0.03856
Warmup Train [13][1510/2134]	Time 0.773 (0.631)	Data 0.002 (0.014)	Loss 5.0798 (5.0408)	Top-1 acc 9.375 (10.891)	Top-5 acc 26.562 (27.657)	lr 0.03855
Warmup Train [13][1520/2134]	Time 0.810 (0.631)	Data 0.002 (0.014)	Loss 4.9609 (5.0404)	Top-1 acc 12.500 (10.908)	Top-5 acc 32.031 (27.668)	lr 0.03854
Warmup Train [13][1530/2134]	Time 0.560 (0.630)	Data 0.002 (0.014)	Loss 4.8681 (5.0400)	Top-1 acc 14.453 (10.911)	Top-5 acc 29.688 (27.672)	lr 0.03853
Warmup Train [13][1540/2134]	Time 0.680 (0.630)	Data 0.002 (0.014)	Loss 5.0186 (5.0400)	Top-1 acc 10.938 (10.912)	Top-5 acc 26.172 (27.671)	lr 0.03853
Warmup Train [13][1550/2134]	Time 0.693 (0.630)	Data 0.003 (0.014)	Loss 4.9611 (5.0401)	Top-1 acc 16.016 (10.918)	Top-5 acc 31.250 (27.674)	lr 0.03852
Warmup Train [13][1560/2134]	Time 0.798 (0.630)	Data 0.004 (0.014)	Loss 5.0583 (5.0397)	Top-1 acc 6.250 (10.916)	Top-5 acc 26.953 (27.680)	lr 0.03851
Warmup Train [13][1570/2134]	Time 0.598 (0.630)	Data 0.002 (0.014)	Loss 5.0814 (5.0394)	Top-1 acc 9.375 (10.928)	Top-5 acc 25.781 (27.688)	lr 0.03850
Warmup Train [13][1580/2134]	Time 0.584 (0.630)	Data 0.002 (0.014)	Loss 5.2419 (5.0392)	Top-1 acc 10.547 (10.932)	Top-5 acc 24.609 (27.694)	lr 0.03849
Warmup Train [13][1590/2134]	Time 0.606 (0.630)	Data 0.002 (0.014)	Loss 5.0009 (5.0393)	Top-1 acc 11.328 (10.934)	Top-5 acc 30.078 (27.693)	lr 0.03849
Warmup Train [13][1600/2134]	Time 0.621 (0.630)	Data 0.002 (0.013)	Loss 4.9059 (5.0392)	Top-1 acc 12.891 (10.938)	Top-5 acc 30.859 (27.692)	lr 0.03848
Warmup Train [13][1610/2134]	Time 0.406 (0.630)	Data 0.002 (0.013)	Loss 4.9122 (5.0390)	Top-1 acc 11.719 (10.939)	Top-5 acc 28.516 (27.695)	lr 0.03847
Warmup Train [13][1620/2134]	Time 0.585 (0.630)	Data 0.002 (0.014)	Loss 4.9987 (5.0388)	Top-1 acc 14.453 (10.942)	Top-5 acc 29.297 (27.693)	lr 0.03846
Warmup Train [13][1630/2134]	Time 0.701 (0.630)	Data 0.002 (0.013)	Loss 4.9604 (5.0386)	Top-1 acc 12.891 (10.945)	Top-5 acc 26.562 (27.694)	lr 0.03846
Warmup Train [13][1640/2134]	Time 0.649 (0.630)	Data 0.002 (0.013)	Loss 5.0199 (5.0388)	Top-1 acc 11.328 (10.941)	Top-5 acc 30.078 (27.693)	lr 0.03845
Warmup Train [13][1650/2134]	Time 0.605 (0.630)	Data 0.003 (0.013)	Loss 5.1468 (5.0386)	Top-1 acc 10.156 (10.947)	Top-5 acc 27.344 (27.699)	lr 0.03844
Warmup Train [13][1660/2134]	Time 0.742 (0.630)	Data 0.004 (0.013)	Loss 4.9461 (5.0384)	Top-1 acc 10.938 (10.954)	Top-5 acc 30.469 (27.710)	lr 0.03843
Warmup Train [13][1670/2134]	Time 0.720 (0.630)	Data 0.002 (0.013)	Loss 4.8706 (5.0381)	Top-1 acc 12.109 (10.957)	Top-5 acc 30.078 (27.719)	lr 0.03843
Warmup Train [13][1680/2134]	Time 0.755 (0.630)	Data 0.002 (0.013)	Loss 4.9463 (5.0380)	Top-1 acc 13.281 (10.957)	Top-5 acc 30.078 (27.721)	lr 0.03842
Warmup Train [13][1690/2134]	Time 0.578 (0.629)	Data 0.002 (0.013)	Loss 5.0097 (5.0379)	Top-1 acc 12.109 (10.963)	Top-5 acc 32.031 (27.728)	lr 0.03841
Warmup Train [13][1700/2134]	Time 0.669 (0.630)	Data 0.002 (0.013)	Loss 4.9794 (5.0375)	Top-1 acc 12.500 (10.968)	Top-5 acc 27.734 (27.734)	lr 0.03840
Warmup Train [13][1710/2134]	Time 0.614 (0.630)	Data 0.002 (0.013)	Loss 4.9198 (5.0375)	Top-1 acc 10.547 (10.965)	Top-5 acc 29.297 (27.734)	lr 0.03839
Warmup Train [13][1720/2134]	Time 0.737 (0.630)	Data 0.002 (0.013)	Loss 4.9958 (5.0372)	Top-1 acc 10.156 (10.972)	Top-5 acc 27.734 (27.744)	lr 0.03839
Warmup Train [13][1730/2134]	Time 0.474 (0.630)	Data 0.002 (0.013)	Loss 4.9964 (5.0371)	Top-1 acc 12.109 (10.975)	Top-5 acc 26.562 (27.746)	lr 0.03838
Warmup Train [13][1740/2134]	Time 0.448 (0.629)	Data 0.002 (0.013)	Loss 5.0133 (5.0371)	Top-1 acc 10.938 (10.973)	Top-5 acc 26.172 (27.742)	lr 0.03837
Warmup Train [13][1750/2134]	Time 0.501 (0.629)	Data 0.002 (0.013)	Loss 4.8567 (5.0368)	Top-1 acc 14.062 (10.983)	Top-5 acc 32.031 (27.759)	lr 0.03836
Warmup Train [13][1760/2134]	Time 0.476 (0.629)	Data 0.003 (0.013)	Loss 4.9297 (5.0367)	Top-1 acc 14.453 (10.990)	Top-5 acc 32.422 (27.765)	lr 0.03836
Warmup Train [13][1770/2134]	Time 0.584 (0.629)	Data 0.002 (0.013)	Loss 5.0575 (5.0365)	Top-1 acc 7.812 (10.992)	Top-5 acc 26.562 (27.770)	lr 0.03835
Warmup Train [13][1780/2134]	Time 0.528 (0.629)	Data 0.004 (0.013)	Loss 5.0085 (5.0368)	Top-1 acc 10.156 (10.989)	Top-5 acc 26.172 (27.764)	lr 0.03834
Warmup Train [13][1790/2134]	Time 0.808 (0.629)	Data 0.002 (0.013)	Loss 4.9444 (5.0365)	Top-1 acc 12.500 (10.993)	Top-5 acc 32.422 (27.773)	lr 0.03833
Warmup Train [13][1800/2134]	Time 0.629 (0.629)	Data 0.003 (0.013)	Loss 4.9722 (5.0364)	Top-1 acc 11.328 (10.994)	Top-5 acc 26.562 (27.779)	lr 0.03832
Warmup Train [13][1810/2134]	Time 0.506 (0.629)	Data 0.003 (0.013)	Loss 4.9724 (5.0360)	Top-1 acc 10.547 (10.997)	Top-5 acc 29.297 (27.789)	lr 0.03832
Warmup Train [13][1820/2134]	Time 0.492 (0.629)	Data 0.002 (0.013)	Loss 5.0568 (5.0359)	Top-1 acc 10.938 (11.002)	Top-5 acc 25.391 (27.794)	lr 0.03831
Warmup Train [13][1830/2134]	Time 0.775 (0.629)	Data 0.002 (0.013)	Loss 5.0152 (5.0356)	Top-1 acc 12.109 (11.005)	Top-5 acc 26.562 (27.796)	lr 0.03830
Warmup Train [13][1840/2134]	Time 0.624 (0.629)	Data 0.002 (0.013)	Loss 5.0626 (5.0356)	Top-1 acc 10.938 (11.006)	Top-5 acc 24.609 (27.796)	lr 0.03829
Warmup Train [13][1850/2134]	Time 0.461 (0.629)	Data 0.002 (0.013)	Loss 5.0141 (5.0355)	Top-1 acc 9.766 (11.000)	Top-5 acc 27.734 (27.793)	lr 0.03829
Warmup Train [13][1860/2134]	Time 0.654 (0.629)	Data 0.002 (0.013)	Loss 5.1147 (5.0355)	Top-1 acc 10.547 (11.004)	Top-5 acc 26.953 (27.798)	lr 0.03828
Warmup Train [13][1870/2134]	Time 0.544 (0.629)	Data 0.002 (0.013)	Loss 4.9127 (5.0353)	Top-1 acc 12.109 (10.998)	Top-5 acc 30.078 (27.801)	lr 0.03827
Warmup Train [13][1880/2134]	Time 0.732 (0.629)	Data 0.004 (0.013)	Loss 4.9884 (5.0350)	Top-1 acc 16.797 (11.010)	Top-5 acc 29.297 (27.814)	lr 0.03826
Warmup Train [13][1890/2134]	Time 0.641 (0.629)	Data 0.002 (0.013)	Loss 5.0160 (5.0349)	Top-1 acc 10.156 (11.019)	Top-5 acc 24.609 (27.816)	lr 0.03825
Warmup Train [13][1900/2134]	Time 0.593 (0.629)	Data 0.002 (0.013)	Loss 5.0197 (5.0346)	Top-1 acc 12.500 (11.024)	Top-5 acc 26.953 (27.825)	lr 0.03825
Warmup Train [13][1910/2134]	Time 0.627 (0.628)	Data 0.002 (0.013)	Loss 4.9662 (5.0344)	Top-1 acc 9.766 (11.029)	Top-5 acc 29.297 (27.827)	lr 0.03824
Warmup Train [13][1920/2134]	Time 0.659 (0.628)	Data 0.002 (0.013)	Loss 4.9601 (5.0342)	Top-1 acc 12.500 (11.031)	Top-5 acc 30.469 (27.832)	lr 0.03823
Warmup Train [13][1930/2134]	Time 0.716 (0.628)	Data 0.002 (0.013)	Loss 5.0661 (5.0341)	Top-1 acc 12.109 (11.031)	Top-5 acc 27.344 (27.837)	lr 0.03822
Warmup Train [13][1940/2134]	Time 0.585 (0.628)	Data 0.002 (0.013)	Loss 5.2348 (5.0342)	Top-1 acc 10.547 (11.028)	Top-5 acc 21.484 (27.835)	lr 0.03822
Warmup Train [13][1950/2134]	Time 0.430 (0.628)	Data 0.002 (0.012)	Loss 5.1320 (5.0343)	Top-1 acc 11.328 (11.028)	Top-5 acc 28.516 (27.834)	lr 0.03821
Warmup Train [13][1960/2134]	Time 0.621 (0.629)	Data 0.002 (0.013)	Loss 5.0106 (5.0340)	Top-1 acc 10.547 (11.031)	Top-5 acc 28.906 (27.839)	lr 0.03820
Warmup Train [13][1970/2134]	Time 0.579 (0.628)	Data 0.002 (0.013)	Loss 4.9969 (5.0338)	Top-1 acc 11.328 (11.036)	Top-5 acc 26.953 (27.846)	lr 0.03819
Warmup Train [13][1980/2134]	Time 0.848 (0.628)	Data 0.002 (0.013)	Loss 4.8945 (5.0337)	Top-1 acc 14.844 (11.041)	Top-5 acc 29.688 (27.849)	lr 0.03818
Warmup Train [13][1990/2134]	Time 0.788 (0.628)	Data 0.002 (0.013)	Loss 5.1399 (5.0336)	Top-1 acc 9.766 (11.039)	Top-5 acc 23.828 (27.852)	lr 0.03818
Warmup Train [13][2000/2134]	Time 0.448 (0.628)	Data 0.002 (0.013)	Loss 4.9156 (5.0335)	Top-1 acc 14.453 (11.039)	Top-5 acc 30.859 (27.860)	lr 0.03817
Warmup Train [13][2010/2134]	Time 0.554 (0.628)	Data 0.002 (0.013)	Loss 4.9163 (5.0330)	Top-1 acc 10.938 (11.042)	Top-5 acc 28.906 (27.865)	lr 0.03816
Warmup Train [13][2020/2134]	Time 0.663 (0.628)	Data 0.002 (0.013)	Loss 4.9742 (5.0328)	Top-1 acc 13.672 (11.044)	Top-5 acc 28.125 (27.874)	lr 0.03815
Warmup Train [13][2030/2134]	Time 0.722 (0.628)	Data 0.002 (0.012)	Loss 4.8800 (5.0327)	Top-1 acc 13.281 (11.045)	Top-5 acc 34.375 (27.873)	lr 0.03814
Warmup Train [13][2040/2134]	Time 0.673 (0.628)	Data 0.002 (0.012)	Loss 5.2086 (5.0326)	Top-1 acc 12.500 (11.050)	Top-5 acc 28.125 (27.883)	lr 0.03814
Warmup Train [13][2050/2134]	Time 0.618 (0.628)	Data 0.003 (0.012)	Loss 4.7853 (5.0323)	Top-1 acc 16.016 (11.053)	Top-5 acc 36.328 (27.893)	lr 0.03813
Warmup Train [13][2060/2134]	Time 0.621 (0.628)	Data 0.002 (0.012)	Loss 4.8833 (5.0319)	Top-1 acc 13.672 (11.062)	Top-5 acc 33.203 (27.907)	lr 0.03812
Warmup Train [13][2070/2134]	Time 0.551 (0.628)	Data 0.002 (0.012)	Loss 4.9734 (5.0317)	Top-1 acc 11.328 (11.066)	Top-5 acc 31.641 (27.912)	lr 0.03811
Warmup Train [13][2080/2134]	Time 0.707 (0.627)	Data 0.000 (0.012)	Loss 4.9981 (5.0317)	Top-1 acc 11.719 (11.065)	Top-5 acc 26.953 (27.912)	lr 0.03811
Warmup Train [13][2090/2134]	Time 0.508 (0.628)	Data 0.000 (0.012)	Loss 5.0494 (5.0315)	Top-1 acc 12.891 (11.070)	Top-5 acc 31.250 (27.921)	lr 0.03810
Warmup Train [13][2100/2134]	Time 0.500 (0.628)	Data 0.000 (0.012)	Loss 4.9563 (5.0310)	Top-1 acc 13.281 (11.076)	Top-5 acc 31.641 (27.931)	lr 0.03809
Warmup Train [13][2110/2134]	Time 0.527 (0.627)	Data 0.000 (0.012)	Loss 4.9207 (5.0307)	Top-1 acc 13.281 (11.076)	Top-5 acc 26.953 (27.934)	lr 0.03808
Warmup Train [13][2120/2134]	Time 0.556 (0.627)	Data 0.000 (0.012)	Loss 5.1006 (5.0307)	Top-1 acc 11.719 (11.080)	Top-5 acc 27.734 (27.937)	lr 0.03807
Warmup Train [13][2130/2134]	Time 0.520 (0.627)	Data 0.000 (0.012)	Loss 4.9778 (5.0306)	Top-1 acc 10.938 (11.077)	Top-5 acc 30.859 (27.937)	lr 0.03807
Warmup Train [13][2134/2134]	Time 0.663 (0.627)	Data 0.000 (0.012)	Loss 4.9620 (5.0306)	Top-1 acc 11.230 (11.078)	Top-5 acc 29.412 (27.938)	lr 0.03806
==========Warmup Valid [13/40]	loss 4.287	top-1 acc 14.959	top-5 acc 35.401	Train top-1 11.078	top-5 27.938	flops: 442.4M
Warmup Train [14][0/2134]	Time 13.325 (13.325)	Data 10.916 (10.916)	Loss 4.9973 (4.9973)	Top-1 acc 11.719 (11.719)	Top-5 acc 32.031 (32.031)	lr 0.03806
Warmup Train [14][10/2134]	Time 0.692 (1.942)	Data 0.003 (1.000)	Loss 4.9298 (4.9967)	Top-1 acc 9.375 (11.009)	Top-5 acc 29.688 (28.942)	lr 0.03805
Warmup Train [14][20/2134]	Time 0.678 (1.311)	Data 0.002 (0.525)	Loss 5.0421 (5.0066)	Top-1 acc 13.281 (11.551)	Top-5 acc 28.125 (28.330)	lr 0.03805
Warmup Train [14][30/2134]	Time 0.687 (1.096)	Data 0.002 (0.357)	Loss 4.9426 (5.0032)	Top-1 acc 11.719 (11.757)	Top-5 acc 31.250 (28.516)	lr 0.03804
Warmup Train [14][40/2134]	Time 0.646 (0.981)	Data 0.002 (0.271)	Loss 4.8412 (4.9800)	Top-1 acc 15.234 (12.176)	Top-5 acc 30.078 (29.021)	lr 0.03803
Warmup Train [14][50/2134]	Time 0.717 (0.907)	Data 0.002 (0.218)	Loss 5.0617 (4.9794)	Top-1 acc 10.156 (12.086)	Top-5 acc 25.391 (28.929)	lr 0.03802
Warmup Train [14][60/2134]	Time 0.683 (0.892)	Data 0.002 (0.183)	Loss 5.1366 (4.9830)	Top-1 acc 10.547 (12.065)	Top-5 acc 25.391 (28.842)	lr 0.03802
Warmup Train [14][70/2134]	Time 0.576 (0.855)	Data 0.003 (0.158)	Loss 5.0029 (4.9865)	Top-1 acc 9.375 (11.972)	Top-5 acc 29.297 (28.741)	lr 0.03801
Warmup Train [14][80/2134]	Time 0.765 (0.827)	Data 0.002 (0.139)	Loss 4.8450 (4.9820)	Top-1 acc 13.672 (12.080)	Top-5 acc 33.984 (29.008)	lr 0.03800
Warmup Train [14][90/2134]	Time 0.378 (0.801)	Data 0.003 (0.124)	Loss 4.9913 (4.9849)	Top-1 acc 10.938 (12.049)	Top-5 acc 28.906 (28.911)	lr 0.03799
Warmup Train [14][100/2134]	Time 0.557 (0.785)	Data 0.002 (0.113)	Loss 4.9594 (4.9834)	Top-1 acc 12.109 (12.044)	Top-5 acc 30.859 (28.968)	lr 0.03798
Warmup Train [14][110/2134]	Time 0.629 (0.770)	Data 0.002 (0.103)	Loss 5.0184 (4.9861)	Top-1 acc 9.766 (11.916)	Top-5 acc 28.906 (28.839)	lr 0.03798
Warmup Train [14][120/2134]	Time 0.506 (0.758)	Data 0.002 (0.095)	Loss 4.8937 (4.9827)	Top-1 acc 10.156 (11.935)	Top-5 acc 30.859 (28.935)	lr 0.03797
Warmup Train [14][130/2134]	Time 0.398 (0.744)	Data 0.003 (0.089)	Loss 5.0727 (4.9823)	Top-1 acc 9.375 (12.002)	Top-5 acc 24.219 (28.981)	lr 0.03796
Warmup Train [14][140/2134]	Time 0.580 (0.734)	Data 0.002 (0.084)	Loss 5.0553 (4.9837)	Top-1 acc 11.328 (12.021)	Top-5 acc 30.469 (29.014)	lr 0.03795
Warmup Train [14][150/2134]	Time 0.493 (0.728)	Data 0.002 (0.079)	Loss 4.9967 (4.9863)	Top-1 acc 13.281 (11.959)	Top-5 acc 30.469 (28.961)	lr 0.03794
Warmup Train [14][160/2134]	Time 0.692 (0.721)	Data 0.003 (0.075)	Loss 4.9673 (4.9839)	Top-1 acc 12.500 (12.007)	Top-5 acc 29.297 (29.042)	lr 0.03794
Warmup Train [14][170/2134]	Time 0.702 (0.717)	Data 0.003 (0.071)	Loss 4.9605 (4.9835)	Top-1 acc 11.328 (12.016)	Top-5 acc 25.391 (29.084)	lr 0.03793
Warmup Train [14][180/2134]	Time 0.486 (0.711)	Data 0.002 (0.067)	Loss 4.9817 (4.9853)	Top-1 acc 8.984 (11.919)	Top-5 acc 28.516 (29.085)	lr 0.03792
Warmup Train [14][190/2134]	Time 0.602 (0.714)	Data 0.003 (0.064)	Loss 5.0670 (4.9869)	Top-1 acc 8.984 (11.886)	Top-5 acc 27.344 (29.013)	lr 0.03791
Warmup Train [14][200/2134]	Time 0.741 (0.708)	Data 0.002 (0.061)	Loss 4.9441 (4.9855)	Top-1 acc 13.672 (11.946)	Top-5 acc 27.734 (29.058)	lr 0.03791
Warmup Train [14][210/2134]	Time 0.475 (0.702)	Data 0.002 (0.059)	Loss 5.0008 (4.9846)	Top-1 acc 10.938 (11.952)	Top-5 acc 29.297 (29.091)	lr 0.03790
Warmup Train [14][220/2134]	Time 0.506 (0.697)	Data 0.003 (0.057)	Loss 4.9035 (4.9857)	Top-1 acc 13.672 (11.894)	Top-5 acc 33.203 (29.078)	lr 0.03789
Warmup Train [14][230/2134]	Time 0.722 (0.695)	Data 0.002 (0.055)	Loss 4.9999 (4.9873)	Top-1 acc 10.938 (11.884)	Top-5 acc 29.297 (29.021)	lr 0.03788
Warmup Train [14][240/2134]	Time 0.641 (0.692)	Data 0.002 (0.053)	Loss 5.0722 (4.9886)	Top-1 acc 8.203 (11.853)	Top-5 acc 24.609 (28.981)	lr 0.03787
Warmup Train [14][250/2134]	Time 0.660 (0.689)	Data 0.003 (0.051)	Loss 5.1515 (4.9881)	Top-1 acc 11.719 (11.913)	Top-5 acc 28.516 (29.046)	lr 0.03787
Warmup Train [14][260/2134]	Time 0.507 (0.685)	Data 0.002 (0.049)	Loss 4.9388 (4.9899)	Top-1 acc 10.156 (11.880)	Top-5 acc 26.562 (29.004)	lr 0.03786
Warmup Train [14][270/2134]	Time 0.603 (0.683)	Data 0.002 (0.048)	Loss 5.1929 (4.9907)	Top-1 acc 8.984 (11.885)	Top-5 acc 22.656 (28.951)	lr 0.03785
Warmup Train [14][280/2134]	Time 0.619 (0.681)	Data 0.003 (0.046)	Loss 4.9478 (4.9907)	Top-1 acc 15.625 (11.901)	Top-5 acc 33.203 (28.951)	lr 0.03784
Warmup Train [14][290/2134]	Time 0.713 (0.679)	Data 0.002 (0.045)	Loss 5.1026 (4.9901)	Top-1 acc 11.328 (11.880)	Top-5 acc 24.219 (28.980)	lr 0.03783
Warmup Train [14][300/2134]	Time 0.600 (0.677)	Data 0.002 (0.044)	Loss 5.0257 (4.9894)	Top-1 acc 11.328 (11.897)	Top-5 acc 25.781 (28.993)	lr 0.03783
Warmup Train [14][310/2134]	Time 0.415 (0.675)	Data 0.002 (0.042)	Loss 5.0887 (4.9906)	Top-1 acc 11.328 (11.877)	Top-5 acc 24.219 (28.963)	lr 0.03782
Warmup Train [14][320/2134]	Time 0.611 (0.677)	Data 0.002 (0.041)	Loss 5.0500 (4.9895)	Top-1 acc 15.625 (11.907)	Top-5 acc 29.688 (28.980)	lr 0.03781
Warmup Train [14][330/2134]	Time 0.529 (0.674)	Data 0.002 (0.041)	Loss 4.8261 (4.9888)	Top-1 acc 10.938 (11.873)	Top-5 acc 33.594 (28.998)	lr 0.03780
Warmup Train [14][340/2134]	Time 0.596 (0.673)	Data 0.002 (0.040)	Loss 5.0443 (4.9891)	Top-1 acc 8.984 (11.865)	Top-5 acc 23.047 (28.980)	lr 0.03779
Warmup Train [14][350/2134]	Time 0.622 (0.671)	Data 0.002 (0.039)	Loss 4.8722 (4.9887)	Top-1 acc 12.109 (11.869)	Top-5 acc 30.078 (28.947)	lr 0.03779
Warmup Train [14][360/2134]	Time 0.571 (0.670)	Data 0.004 (0.038)	Loss 5.0427 (4.9889)	Top-1 acc 7.812 (11.853)	Top-5 acc 26.562 (28.922)	lr 0.03778
Warmup Train [14][370/2134]	Time 0.737 (0.669)	Data 0.002 (0.038)	Loss 4.9484 (4.9900)	Top-1 acc 12.500 (11.856)	Top-5 acc 33.594 (28.926)	lr 0.03777
Warmup Train [14][380/2134]	Time 0.581 (0.667)	Data 0.031 (0.037)	Loss 4.9427 (4.9903)	Top-1 acc 14.844 (11.844)	Top-5 acc 28.906 (28.919)	lr 0.03776
Warmup Train [14][390/2134]	Time 0.613 (0.666)	Data 0.002 (0.036)	Loss 4.8226 (4.9897)	Top-1 acc 11.719 (11.817)	Top-5 acc 36.328 (28.918)	lr 0.03776
Warmup Train [14][400/2134]	Time 0.568 (0.664)	Data 0.002 (0.035)	Loss 5.2139 (4.9907)	Top-1 acc 8.594 (11.816)	Top-5 acc 23.828 (28.903)	lr 0.03775
Warmup Train [14][410/2134]	Time 0.587 (0.663)	Data 0.002 (0.035)	Loss 4.8594 (4.9901)	Top-1 acc 15.234 (11.823)	Top-5 acc 31.641 (28.906)	lr 0.03774
Warmup Train [14][420/2134]	Time 0.658 (0.661)	Data 0.003 (0.034)	Loss 5.1684 (4.9902)	Top-1 acc 7.812 (11.823)	Top-5 acc 24.219 (28.918)	lr 0.03773
Warmup Train [14][430/2134]	Time 0.657 (0.660)	Data 0.002 (0.033)	Loss 4.9966 (4.9900)	Top-1 acc 12.109 (11.822)	Top-5 acc 27.344 (28.904)	lr 0.03772
Warmup Train [14][440/2134]	Time 0.570 (0.659)	Data 0.002 (0.033)	Loss 5.0890 (4.9904)	Top-1 acc 8.203 (11.813)	Top-5 acc 27.734 (28.910)	lr 0.03772
Warmup Train [14][450/2134]	Time 0.554 (0.660)	Data 0.002 (0.032)	Loss 4.8086 (4.9895)	Top-1 acc 14.062 (11.827)	Top-5 acc 32.422 (28.931)	lr 0.03771
Warmup Train [14][460/2134]	Time 0.608 (0.659)	Data 0.002 (0.032)	Loss 4.8315 (4.9890)	Top-1 acc 13.281 (11.820)	Top-5 acc 32.422 (28.924)	lr 0.03770
Warmup Train [14][470/2134]	Time 0.657 (0.658)	Data 0.002 (0.031)	Loss 4.9768 (4.9894)	Top-1 acc 12.500 (11.812)	Top-5 acc 31.250 (28.910)	lr 0.03769
Warmup Train [14][480/2134]	Time 0.636 (0.657)	Data 0.002 (0.031)	Loss 4.8997 (4.9884)	Top-1 acc 12.891 (11.829)	Top-5 acc 31.641 (28.922)	lr 0.03768
Warmup Train [14][490/2134]	Time 0.512 (0.656)	Data 0.002 (0.030)	Loss 5.1096 (4.9887)	Top-1 acc 10.938 (11.827)	Top-5 acc 27.734 (28.928)	lr 0.03768
Warmup Train [14][500/2134]	Time 0.530 (0.654)	Data 0.002 (0.030)	Loss 4.8453 (4.9881)	Top-1 acc 13.672 (11.819)	Top-5 acc 30.469 (28.920)	lr 0.03767
Warmup Train [14][510/2134]	Time 0.651 (0.654)	Data 0.026 (0.029)	Loss 4.9202 (4.9880)	Top-1 acc 12.891 (11.832)	Top-5 acc 28.516 (28.921)	lr 0.03766
Warmup Train [14][520/2134]	Time 0.392 (0.653)	Data 0.002 (0.029)	Loss 4.8265 (4.9876)	Top-1 acc 11.328 (11.826)	Top-5 acc 32.812 (28.923)	lr 0.03765
Warmup Train [14][530/2134]	Time 0.444 (0.652)	Data 0.003 (0.029)	Loss 5.0465 (4.9881)	Top-1 acc 9.766 (11.822)	Top-5 acc 24.609 (28.928)	lr 0.03764
Warmup Train [14][540/2134]	Time 0.772 (0.651)	Data 0.004 (0.028)	Loss 4.9570 (4.9874)	Top-1 acc 10.938 (11.816)	Top-5 acc 29.297 (28.943)	lr 0.03764
Warmup Train [14][550/2134]	Time 0.637 (0.650)	Data 0.002 (0.028)	Loss 4.9951 (4.9879)	Top-1 acc 12.500 (11.814)	Top-5 acc 32.422 (28.931)	lr 0.03763
Warmup Train [14][560/2134]	Time 0.545 (0.649)	Data 0.004 (0.027)	Loss 4.9355 (4.9877)	Top-1 acc 9.375 (11.800)	Top-5 acc 26.953 (28.935)	lr 0.03762
Warmup Train [14][570/2134]	Time 0.763 (0.649)	Data 0.002 (0.027)	Loss 4.8727 (4.9869)	Top-1 acc 14.844 (11.834)	Top-5 acc 32.031 (28.972)	lr 0.03761
Warmup Train [14][580/2134]	Time 0.650 (0.650)	Data 0.002 (0.027)	Loss 4.9313 (4.9866)	Top-1 acc 13.672 (11.832)	Top-5 acc 28.906 (28.989)	lr 0.03760
Warmup Train [14][590/2134]	Time 0.625 (0.650)	Data 0.002 (0.026)	Loss 4.7908 (4.9850)	Top-1 acc 15.234 (11.856)	Top-5 acc 31.641 (29.046)	lr 0.03760
Warmup Train [14][600/2134]	Time 0.540 (0.649)	Data 0.003 (0.026)	Loss 5.0891 (4.9849)	Top-1 acc 8.594 (11.858)	Top-5 acc 25.781 (29.051)	lr 0.03759
Warmup Train [14][610/2134]	Time 0.741 (0.648)	Data 0.002 (0.026)	Loss 4.9918 (4.9845)	Top-1 acc 11.328 (11.873)	Top-5 acc 27.734 (29.064)	lr 0.03758
Warmup Train [14][620/2134]	Time 0.765 (0.648)	Data 0.002 (0.025)	Loss 4.9763 (4.9843)	Top-1 acc 12.891 (11.871)	Top-5 acc 26.562 (29.058)	lr 0.03757
Warmup Train [14][630/2134]	Time 0.700 (0.647)	Data 0.002 (0.025)	Loss 4.9465 (4.9839)	Top-1 acc 11.719 (11.877)	Top-5 acc 28.906 (29.073)	lr 0.03756
Warmup Train [14][640/2134]	Time 0.600 (0.647)	Data 0.002 (0.025)	Loss 5.0745 (4.9840)	Top-1 acc 10.938 (11.881)	Top-5 acc 26.562 (29.076)	lr 0.03756
Warmup Train [14][650/2134]	Time 0.598 (0.647)	Data 0.002 (0.024)	Loss 5.0781 (4.9834)	Top-1 acc 10.938 (11.872)	Top-5 acc 27.734 (29.090)	lr 0.03755
Warmup Train [14][660/2134]	Time 0.517 (0.646)	Data 0.002 (0.024)	Loss 4.9394 (4.9835)	Top-1 acc 10.938 (11.866)	Top-5 acc 29.297 (29.083)	lr 0.03754
Warmup Train [14][670/2134]	Time 0.512 (0.645)	Data 0.002 (0.024)	Loss 5.0582 (4.9833)	Top-1 acc 9.375 (11.866)	Top-5 acc 26.172 (29.085)	lr 0.03753
Warmup Train [14][680/2134]	Time 0.539 (0.645)	Data 0.002 (0.024)	Loss 4.9768 (4.9825)	Top-1 acc 12.500 (11.885)	Top-5 acc 30.469 (29.117)	lr 0.03753
Warmup Train [14][690/2134]	Time 0.499 (0.644)	Data 0.003 (0.024)	Loss 4.9805 (4.9821)	Top-1 acc 9.766 (11.888)	Top-5 acc 28.516 (29.119)	lr 0.03752
Warmup Train [14][700/2134]	Time 0.723 (0.644)	Data 0.004 (0.023)	Loss 5.0058 (4.9823)	Top-1 acc 10.938 (11.866)	Top-5 acc 27.344 (29.101)	lr 0.03751
Warmup Train [14][710/2134]	Time 0.422 (0.646)	Data 0.002 (0.023)	Loss 5.1287 (4.9822)	Top-1 acc 7.812 (11.864)	Top-5 acc 24.219 (29.100)	lr 0.03750
Warmup Train [14][720/2134]	Time 0.669 (0.645)	Data 0.002 (0.023)	Loss 4.9826 (4.9823)	Top-1 acc 8.594 (11.861)	Top-5 acc 25.781 (29.090)	lr 0.03749
Warmup Train [14][730/2134]	Time 0.523 (0.644)	Data 0.002 (0.023)	Loss 5.0620 (4.9827)	Top-1 acc 10.156 (11.865)	Top-5 acc 25.000 (29.078)	lr 0.03749
Warmup Train [14][740/2134]	Time 0.658 (0.644)	Data 0.003 (0.023)	Loss 5.0473 (4.9824)	Top-1 acc 10.547 (11.873)	Top-5 acc 25.000 (29.077)	lr 0.03748
Warmup Train [14][750/2134]	Time 0.646 (0.643)	Data 0.003 (0.022)	Loss 4.8616 (4.9823)	Top-1 acc 13.672 (11.863)	Top-5 acc 32.031 (29.068)	lr 0.03747
Warmup Train [14][760/2134]	Time 0.705 (0.643)	Data 0.002 (0.022)	Loss 4.9966 (4.9825)	Top-1 acc 10.938 (11.853)	Top-5 acc 28.125 (29.059)	lr 0.03746
Warmup Train [14][770/2134]	Time 0.652 (0.643)	Data 0.003 (0.022)	Loss 5.0504 (4.9832)	Top-1 acc 10.156 (11.839)	Top-5 acc 28.125 (29.038)	lr 0.03745
Warmup Train [14][780/2134]	Time 0.607 (0.643)	Data 0.002 (0.022)	Loss 5.0612 (4.9827)	Top-1 acc 12.109 (11.851)	Top-5 acc 26.953 (29.060)	lr 0.03745
Warmup Train [14][790/2134]	Time 0.707 (0.643)	Data 0.003 (0.021)	Loss 4.9607 (4.9823)	Top-1 acc 10.938 (11.851)	Top-5 acc 28.125 (29.053)	lr 0.03744
Warmup Train [14][800/2134]	Time 0.539 (0.642)	Data 0.002 (0.021)	Loss 4.9801 (4.9820)	Top-1 acc 11.719 (11.849)	Top-5 acc 30.859 (29.053)	lr 0.03743
Warmup Train [14][810/2134]	Time 0.583 (0.642)	Data 0.002 (0.021)	Loss 4.9021 (4.9821)	Top-1 acc 14.453 (11.856)	Top-5 acc 33.594 (29.059)	lr 0.03742
Warmup Train [14][820/2134]	Time 0.591 (0.641)	Data 0.002 (0.021)	Loss 4.9274 (4.9819)	Top-1 acc 14.453 (11.852)	Top-5 acc 35.156 (29.075)	lr 0.03741
Warmup Train [14][830/2134]	Time 0.671 (0.641)	Data 0.002 (0.021)	Loss 4.9936 (4.9826)	Top-1 acc 9.375 (11.845)	Top-5 acc 28.125 (29.065)	lr 0.03741
Warmup Train [14][840/2134]	Time 0.553 (0.642)	Data 0.002 (0.021)	Loss 5.1048 (4.9823)	Top-1 acc 10.156 (11.852)	Top-5 acc 25.391 (29.075)	lr 0.03740
Warmup Train [14][850/2134]	Time 0.452 (0.641)	Data 0.002 (0.020)	Loss 4.9167 (4.9818)	Top-1 acc 10.938 (11.859)	Top-5 acc 31.250 (29.083)	lr 0.03739
Warmup Train [14][860/2134]	Time 0.519 (0.641)	Data 0.002 (0.020)	Loss 4.9245 (4.9816)	Top-1 acc 14.453 (11.867)	Top-5 acc 28.125 (29.096)	lr 0.03738
Warmup Train [14][870/2134]	Time 0.615 (0.641)	Data 0.002 (0.020)	Loss 4.9406 (4.9812)	Top-1 acc 12.500 (11.875)	Top-5 acc 29.688 (29.107)	lr 0.03737
Warmup Train [14][880/2134]	Time 0.668 (0.640)	Data 0.002 (0.020)	Loss 4.8841 (4.9808)	Top-1 acc 13.281 (11.890)	Top-5 acc 30.859 (29.123)	lr 0.03737
Warmup Train [14][890/2134]	Time 0.651 (0.640)	Data 0.002 (0.020)	Loss 4.8847 (4.9805)	Top-1 acc 13.672 (11.889)	Top-5 acc 30.859 (29.122)	lr 0.03736
Warmup Train [14][900/2134]	Time 0.559 (0.640)	Data 0.002 (0.020)	Loss 5.1066 (4.9807)	Top-1 acc 10.938 (11.887)	Top-5 acc 25.000 (29.106)	lr 0.03735
Warmup Train [14][910/2134]	Time 0.782 (0.640)	Data 0.002 (0.020)	Loss 4.8406 (4.9808)	Top-1 acc 15.234 (11.879)	Top-5 acc 33.984 (29.105)	lr 0.03734
Warmup Train [14][920/2134]	Time 0.503 (0.639)	Data 0.002 (0.019)	Loss 4.8602 (4.9808)	Top-1 acc 12.891 (11.873)	Top-5 acc 32.031 (29.102)	lr 0.03733
Warmup Train [14][930/2134]	Time 0.622 (0.639)	Data 0.003 (0.019)	Loss 5.1162 (4.9810)	Top-1 acc 5.859 (11.873)	Top-5 acc 26.172 (29.098)	lr 0.03733
Warmup Train [14][940/2134]	Time 0.499 (0.638)	Data 0.003 (0.019)	Loss 4.8889 (4.9808)	Top-1 acc 14.453 (11.876)	Top-5 acc 29.688 (29.098)	lr 0.03732
Warmup Train [14][950/2134]	Time 0.535 (0.638)	Data 0.002 (0.019)	Loss 4.9906 (4.9807)	Top-1 acc 10.156 (11.869)	Top-5 acc 24.609 (29.098)	lr 0.03731
Warmup Train [14][960/2134]	Time 0.610 (0.638)	Data 0.002 (0.019)	Loss 4.8478 (4.9806)	Top-1 acc 13.672 (11.872)	Top-5 acc 30.469 (29.106)	lr 0.03730
Warmup Train [14][970/2134]	Time 0.628 (0.637)	Data 0.002 (0.019)	Loss 4.9864 (4.9809)	Top-1 acc 14.062 (11.877)	Top-5 acc 28.516 (29.105)	lr 0.03729
Warmup Train [14][980/2134]	Time 0.599 (0.638)	Data 0.002 (0.019)	Loss 4.9531 (4.9806)	Top-1 acc 12.500 (11.878)	Top-5 acc 30.078 (29.107)	lr 0.03729
Warmup Train [14][990/2134]	Time 0.634 (0.638)	Data 0.002 (0.019)	Loss 5.0564 (4.9805)	Top-1 acc 11.719 (11.881)	Top-5 acc 25.391 (29.110)	lr 0.03728
Warmup Train [14][1000/2134]	Time 0.647 (0.638)	Data 0.002 (0.019)	Loss 5.0697 (4.9805)	Top-1 acc 9.766 (11.870)	Top-5 acc 30.469 (29.108)	lr 0.03727
Warmup Train [14][1010/2134]	Time 0.504 (0.638)	Data 0.003 (0.018)	Loss 4.8443 (4.9804)	Top-1 acc 10.156 (11.861)	Top-5 acc 34.375 (29.109)	lr 0.03726
Warmup Train [14][1020/2134]	Time 0.702 (0.638)	Data 0.003 (0.018)	Loss 5.0235 (4.9802)	Top-1 acc 10.156 (11.864)	Top-5 acc 29.688 (29.116)	lr 0.03725
Warmup Train [14][1030/2134]	Time 0.634 (0.637)	Data 0.002 (0.018)	Loss 4.9202 (4.9799)	Top-1 acc 8.984 (11.867)	Top-5 acc 30.078 (29.121)	lr 0.03725
Warmup Train [14][1040/2134]	Time 0.599 (0.637)	Data 0.003 (0.018)	Loss 5.0715 (4.9800)	Top-1 acc 10.547 (11.868)	Top-5 acc 26.172 (29.122)	lr 0.03724
Warmup Train [14][1050/2134]	Time 0.667 (0.637)	Data 0.002 (0.018)	Loss 4.7599 (4.9793)	Top-1 acc 14.844 (11.877)	Top-5 acc 35.547 (29.135)	lr 0.03723
Warmup Train [14][1060/2134]	Time 0.650 (0.637)	Data 0.002 (0.018)	Loss 5.0376 (4.9794)	Top-1 acc 10.547 (11.878)	Top-5 acc 29.297 (29.138)	lr 0.03722
Warmup Train [14][1070/2134]	Time 0.690 (0.636)	Data 0.003 (0.018)	Loss 5.0150 (4.9792)	Top-1 acc 11.719 (11.884)	Top-5 acc 26.562 (29.147)	lr 0.03721
Warmup Train [14][1080/2134]	Time 0.700 (0.636)	Data 0.003 (0.018)	Loss 4.9132 (4.9793)	Top-1 acc 15.625 (11.884)	Top-5 acc 34.766 (29.143)	lr 0.03721
Warmup Train [14][1090/2134]	Time 0.663 (0.636)	Data 0.003 (0.017)	Loss 4.8796 (4.9791)	Top-1 acc 11.719 (11.881)	Top-5 acc 30.078 (29.144)	lr 0.03720
Warmup Train [14][1100/2134]	Time 0.504 (0.635)	Data 0.003 (0.017)	Loss 4.9087 (4.9785)	Top-1 acc 10.938 (11.884)	Top-5 acc 30.078 (29.155)	lr 0.03719
Warmup Train [14][1110/2134]	Time 0.654 (0.636)	Data 0.002 (0.017)	Loss 4.9001 (4.9780)	Top-1 acc 10.938 (11.888)	Top-5 acc 32.031 (29.172)	lr 0.03718
Warmup Train [14][1120/2134]	Time 0.586 (0.636)	Data 0.002 (0.017)	Loss 4.9596 (4.9776)	Top-1 acc 11.719 (11.891)	Top-5 acc 31.641 (29.176)	lr 0.03717
Warmup Train [14][1130/2134]	Time 0.748 (0.636)	Data 0.002 (0.017)	Loss 4.9667 (4.9775)	Top-1 acc 10.156 (11.886)	Top-5 acc 28.906 (29.188)	lr 0.03717
Warmup Train [14][1140/2134]	Time 0.494 (0.636)	Data 0.002 (0.017)	Loss 5.0282 (4.9773)	Top-1 acc 10.547 (11.893)	Top-5 acc 30.859 (29.194)	lr 0.03716
Warmup Train [14][1150/2134]	Time 0.611 (0.636)	Data 0.002 (0.017)	Loss 4.9379 (4.9770)	Top-1 acc 11.328 (11.897)	Top-5 acc 28.125 (29.202)	lr 0.03715
Warmup Train [14][1160/2134]	Time 0.603 (0.635)	Data 0.002 (0.017)	Loss 4.9354 (4.9769)	Top-1 acc 12.109 (11.904)	Top-5 acc 28.125 (29.210)	lr 0.03714
Warmup Train [14][1170/2134]	Time 0.698 (0.635)	Data 0.004 (0.017)	Loss 4.9609 (4.9769)	Top-1 acc 12.500 (11.899)	Top-5 acc 30.469 (29.215)	lr 0.03713
Warmup Train [14][1180/2134]	Time 0.718 (0.635)	Data 0.002 (0.017)	Loss 5.0074 (4.9765)	Top-1 acc 12.109 (11.911)	Top-5 acc 27.734 (29.230)	lr 0.03713
Warmup Train [14][1190/2134]	Time 0.737 (0.635)	Data 0.002 (0.016)	Loss 4.9944 (4.9764)	Top-1 acc 7.812 (11.899)	Top-5 acc 25.781 (29.235)	lr 0.03712
Warmup Train [14][1200/2134]	Time 0.663 (0.635)	Data 0.002 (0.016)	Loss 4.9618 (4.9762)	Top-1 acc 9.375 (11.899)	Top-5 acc 28.516 (29.235)	lr 0.03711
Warmup Train [14][1210/2134]	Time 0.614 (0.634)	Data 0.002 (0.016)	Loss 5.1144 (4.9762)	Top-1 acc 8.594 (11.898)	Top-5 acc 25.391 (29.239)	lr 0.03710
Warmup Train [14][1220/2134]	Time 0.519 (0.634)	Data 0.002 (0.016)	Loss 5.0025 (4.9762)	Top-1 acc 12.500 (11.896)	Top-5 acc 29.297 (29.238)	lr 0.03709
Warmup Train [14][1230/2134]	Time 0.643 (0.634)	Data 0.003 (0.016)	Loss 5.0260 (4.9761)	Top-1 acc 10.938 (11.897)	Top-5 acc 25.391 (29.232)	lr 0.03708
Warmup Train [14][1240/2134]	Time 0.653 (0.634)	Data 0.002 (0.016)	Loss 4.8468 (4.9762)	Top-1 acc 10.938 (11.893)	Top-5 acc 35.547 (29.226)	lr 0.03708
Warmup Train [14][1250/2134]	Time 0.735 (0.635)	Data 0.003 (0.016)	Loss 5.0056 (4.9755)	Top-1 acc 11.719 (11.900)	Top-5 acc 30.469 (29.248)	lr 0.03707
Warmup Train [14][1260/2134]	Time 0.714 (0.635)	Data 0.002 (0.016)	Loss 5.1294 (4.9749)	Top-1 acc 9.766 (11.905)	Top-5 acc 26.172 (29.256)	lr 0.03706
Warmup Train [14][1270/2134]	Time 0.655 (0.635)	Data 0.002 (0.016)	Loss 4.8833 (4.9748)	Top-1 acc 11.719 (11.905)	Top-5 acc 32.422 (29.261)	lr 0.03705
Warmup Train [14][1280/2134]	Time 0.583 (0.634)	Data 0.003 (0.016)	Loss 4.8926 (4.9748)	Top-1 acc 16.406 (11.907)	Top-5 acc 33.984 (29.272)	lr 0.03704
Warmup Train [14][1290/2134]	Time 0.690 (0.634)	Data 0.002 (0.016)	Loss 5.1790 (4.9749)	Top-1 acc 10.938 (11.910)	Top-5 acc 25.391 (29.274)	lr 0.03704
Warmup Train [14][1300/2134]	Time 0.529 (0.634)	Data 0.002 (0.015)	Loss 4.9932 (4.9746)	Top-1 acc 12.891 (11.914)	Top-5 acc 30.078 (29.286)	lr 0.03703
Warmup Train [14][1310/2134]	Time 0.717 (0.634)	Data 0.002 (0.015)	Loss 4.9550 (4.9745)	Top-1 acc 12.891 (11.915)	Top-5 acc 29.297 (29.294)	lr 0.03702
Warmup Train [14][1320/2134]	Time 0.599 (0.634)	Data 0.026 (0.015)	Loss 4.9444 (4.9747)	Top-1 acc 12.500 (11.914)	Top-5 acc 30.859 (29.288)	lr 0.03701
Warmup Train [14][1330/2134]	Time 0.708 (0.634)	Data 0.002 (0.015)	Loss 4.8565 (4.9744)	Top-1 acc 14.453 (11.918)	Top-5 acc 37.109 (29.290)	lr 0.03700
Warmup Train [14][1340/2134]	Time 0.534 (0.633)	Data 0.002 (0.015)	Loss 5.0717 (4.9746)	Top-1 acc 9.766 (11.917)	Top-5 acc 26.953 (29.283)	lr 0.03700
Warmup Train [14][1350/2134]	Time 0.735 (0.633)	Data 0.002 (0.015)	Loss 5.0754 (4.9743)	Top-1 acc 12.891 (11.925)	Top-5 acc 29.688 (29.291)	lr 0.03699
Warmup Train [14][1360/2134]	Time 0.628 (0.633)	Data 0.003 (0.015)	Loss 4.9644 (4.9743)	Top-1 acc 10.547 (11.925)	Top-5 acc 31.250 (29.299)	lr 0.03698
Warmup Train [14][1370/2134]	Time 0.707 (0.633)	Data 0.003 (0.015)	Loss 5.0840 (4.9742)	Top-1 acc 10.938 (11.933)	Top-5 acc 29.688 (29.308)	lr 0.03697
Warmup Train [14][1380/2134]	Time 0.426 (0.633)	Data 0.003 (0.015)	Loss 4.8653 (4.9742)	Top-1 acc 16.406 (11.939)	Top-5 acc 34.375 (29.313)	lr 0.03696
Warmup Train [14][1390/2134]	Time 0.704 (0.633)	Data 0.002 (0.015)	Loss 4.9553 (4.9738)	Top-1 acc 13.672 (11.946)	Top-5 acc 29.297 (29.322)	lr 0.03696
Warmup Train [14][1400/2134]	Time 0.586 (0.633)	Data 0.002 (0.015)	Loss 4.9639 (4.9737)	Top-1 acc 11.328 (11.948)	Top-5 acc 28.906 (29.325)	lr 0.03695
Warmup Train [14][1410/2134]	Time 0.696 (0.633)	Data 0.002 (0.015)	Loss 5.1238 (4.9738)	Top-1 acc 10.938 (11.946)	Top-5 acc 26.562 (29.322)	lr 0.03694
Warmup Train [14][1420/2134]	Time 0.787 (0.633)	Data 0.002 (0.015)	Loss 5.0008 (4.9734)	Top-1 acc 11.328 (11.950)	Top-5 acc 28.906 (29.338)	lr 0.03693
Warmup Train [14][1430/2134]	Time 0.584 (0.633)	Data 0.002 (0.015)	Loss 4.7369 (4.9733)	Top-1 acc 14.062 (11.949)	Top-5 acc 34.766 (29.340)	lr 0.03692
Warmup Train [14][1440/2134]	Time 0.577 (0.633)	Data 0.003 (0.015)	Loss 4.8573 (4.9727)	Top-1 acc 14.062 (11.958)	Top-5 acc 32.812 (29.352)	lr 0.03692
Warmup Train [14][1450/2134]	Time 0.688 (0.633)	Data 0.003 (0.015)	Loss 5.0872 (4.9727)	Top-1 acc 11.328 (11.955)	Top-5 acc 26.562 (29.348)	lr 0.03691
Warmup Train [14][1460/2134]	Time 0.570 (0.632)	Data 0.002 (0.015)	Loss 4.8064 (4.9724)	Top-1 acc 16.797 (11.960)	Top-5 acc 35.938 (29.357)	lr 0.03690
Warmup Train [14][1470/2134]	Time 0.591 (0.632)	Data 0.002 (0.015)	Loss 4.8624 (4.9719)	Top-1 acc 13.281 (11.974)	Top-5 acc 35.547 (29.376)	lr 0.03689
Warmup Train [14][1480/2134]	Time 0.522 (0.632)	Data 0.002 (0.014)	Loss 5.0199 (4.9715)	Top-1 acc 13.281 (11.981)	Top-5 acc 29.688 (29.388)	lr 0.03688
Warmup Train [14][1490/2134]	Time 0.693 (0.632)	Data 0.002 (0.014)	Loss 4.9262 (4.9713)	Top-1 acc 11.719 (11.982)	Top-5 acc 30.078 (29.396)	lr 0.03688
Warmup Train [14][1500/2134]	Time 0.647 (0.632)	Data 0.003 (0.014)	Loss 5.0436 (4.9711)	Top-1 acc 10.156 (11.982)	Top-5 acc 26.172 (29.403)	lr 0.03687
Warmup Train [14][1510/2134]	Time 0.554 (0.633)	Data 0.002 (0.014)	Loss 5.0105 (4.9711)	Top-1 acc 10.156 (11.984)	Top-5 acc 28.516 (29.400)	lr 0.03686
Warmup Train [14][1520/2134]	Time 0.483 (0.633)	Data 0.002 (0.014)	Loss 4.9233 (4.9706)	Top-1 acc 11.719 (11.986)	Top-5 acc 28.906 (29.409)	lr 0.03685
Warmup Train [14][1530/2134]	Time 0.586 (0.633)	Data 0.002 (0.014)	Loss 4.8031 (4.9703)	Top-1 acc 16.406 (11.986)	Top-5 acc 33.984 (29.414)	lr 0.03684
Warmup Train [14][1540/2134]	Time 0.697 (0.632)	Data 0.002 (0.014)	Loss 4.9318 (4.9699)	Top-1 acc 14.453 (11.994)	Top-5 acc 32.031 (29.430)	lr 0.03683
Warmup Train [14][1550/2134]	Time 0.463 (0.632)	Data 0.002 (0.014)	Loss 5.0665 (4.9696)	Top-1 acc 10.156 (11.995)	Top-5 acc 25.391 (29.432)	lr 0.03683
Warmup Train [14][1560/2134]	Time 0.624 (0.632)	Data 0.002 (0.014)	Loss 4.9626 (4.9698)	Top-1 acc 10.547 (11.994)	Top-5 acc 29.688 (29.427)	lr 0.03682
Warmup Train [14][1570/2134]	Time 0.422 (0.632)	Data 0.002 (0.014)	Loss 4.7809 (4.9693)	Top-1 acc 12.891 (11.999)	Top-5 acc 35.547 (29.432)	lr 0.03681
Warmup Train [14][1580/2134]	Time 0.552 (0.631)	Data 0.002 (0.014)	Loss 5.0339 (4.9694)	Top-1 acc 10.156 (11.995)	Top-5 acc 25.000 (29.424)	lr 0.03680
Warmup Train [14][1590/2134]	Time 0.744 (0.631)	Data 0.002 (0.014)	Loss 4.7326 (4.9691)	Top-1 acc 19.531 (11.998)	Top-5 acc 36.719 (29.434)	lr 0.03679
Warmup Train [14][1600/2134]	Time 0.608 (0.631)	Data 0.002 (0.014)	Loss 5.0461 (4.9687)	Top-1 acc 10.938 (12.002)	Top-5 acc 26.953 (29.439)	lr 0.03679
Warmup Train [14][1610/2134]	Time 0.676 (0.631)	Data 0.003 (0.014)	Loss 4.8686 (4.9685)	Top-1 acc 12.109 (12.000)	Top-5 acc 37.500 (29.442)	lr 0.03678
Warmup Train [14][1620/2134]	Time 0.666 (0.631)	Data 0.002 (0.014)	Loss 5.0459 (4.9685)	Top-1 acc 12.891 (11.997)	Top-5 acc 28.906 (29.442)	lr 0.03677
Warmup Train [14][1630/2134]	Time 0.773 (0.631)	Data 0.002 (0.014)	Loss 5.0875 (4.9685)	Top-1 acc 8.984 (11.993)	Top-5 acc 27.734 (29.438)	lr 0.03676
Warmup Train [14][1640/2134]	Time 0.687 (0.631)	Data 0.003 (0.014)	Loss 4.8942 (4.9683)	Top-1 acc 11.328 (11.998)	Top-5 acc 31.641 (29.452)	lr 0.03675
Warmup Train [14][1650/2134]	Time 0.681 (0.632)	Data 0.002 (0.014)	Loss 4.8156 (4.9680)	Top-1 acc 14.062 (12.003)	Top-5 acc 32.031 (29.458)	lr 0.03675
Warmup Train [14][1660/2134]	Time 0.620 (0.632)	Data 0.002 (0.014)	Loss 4.9128 (4.9676)	Top-1 acc 15.234 (12.011)	Top-5 acc 32.031 (29.477)	lr 0.03674
Warmup Train [14][1670/2134]	Time 0.799 (0.631)	Data 0.003 (0.014)	Loss 4.9701 (4.9674)	Top-1 acc 13.672 (12.008)	Top-5 acc 28.125 (29.479)	lr 0.03673
Warmup Train [14][1680/2134]	Time 0.801 (0.631)	Data 0.003 (0.014)	Loss 4.9114 (4.9674)	Top-1 acc 13.672 (12.010)	Top-5 acc 32.812 (29.482)	lr 0.03672
Warmup Train [14][1690/2134]	Time 0.649 (0.631)	Data 0.002 (0.014)	Loss 5.0604 (4.9674)	Top-1 acc 12.109 (12.013)	Top-5 acc 27.734 (29.485)	lr 0.03671
Warmup Train [14][1700/2134]	Time 0.658 (0.631)	Data 0.002 (0.013)	Loss 4.8787 (4.9671)	Top-1 acc 14.453 (12.018)	Top-5 acc 29.297 (29.493)	lr 0.03670
Warmup Train [14][1710/2134]	Time 0.759 (0.631)	Data 0.003 (0.013)	Loss 4.9744 (4.9670)	Top-1 acc 10.156 (12.019)	Top-5 acc 30.469 (29.497)	lr 0.03670
Warmup Train [14][1720/2134]	Time 0.527 (0.631)	Data 0.002 (0.013)	Loss 5.0096 (4.9669)	Top-1 acc 9.375 (12.020)	Top-5 acc 25.000 (29.498)	lr 0.03669
Warmup Train [14][1730/2134]	Time 0.684 (0.631)	Data 0.002 (0.013)	Loss 5.0173 (4.9670)	Top-1 acc 10.547 (12.020)	Top-5 acc 27.344 (29.496)	lr 0.03668
Warmup Train [14][1740/2134]	Time 0.572 (0.631)	Data 0.002 (0.013)	Loss 4.9739 (4.9669)	Top-1 acc 13.672 (12.022)	Top-5 acc 28.906 (29.501)	lr 0.03667
Warmup Train [14][1750/2134]	Time 0.549 (0.631)	Data 0.002 (0.013)	Loss 4.9864 (4.9668)	Top-1 acc 13.672 (12.027)	Top-5 acc 30.469 (29.505)	lr 0.03666
Warmup Train [14][1760/2134]	Time 0.434 (0.631)	Data 0.002 (0.013)	Loss 4.9378 (4.9665)	Top-1 acc 10.156 (12.026)	Top-5 acc 23.828 (29.512)	lr 0.03666
Warmup Train [14][1770/2134]	Time 0.600 (0.630)	Data 0.002 (0.013)	Loss 4.8713 (4.9666)	Top-1 acc 16.016 (12.029)	Top-5 acc 33.984 (29.515)	lr 0.03665
Warmup Train [14][1780/2134]	Time 0.744 (0.630)	Data 0.003 (0.013)	Loss 4.8602 (4.9662)	Top-1 acc 12.109 (12.033)	Top-5 acc 28.906 (29.520)	lr 0.03664
Warmup Train [14][1790/2134]	Time 0.412 (0.631)	Data 0.003 (0.013)	Loss 5.0930 (4.9662)	Top-1 acc 9.766 (12.032)	Top-5 acc 25.000 (29.521)	lr 0.03663
Warmup Train [14][1800/2134]	Time 0.628 (0.631)	Data 0.002 (0.013)	Loss 4.8091 (4.9662)	Top-1 acc 15.234 (12.031)	Top-5 acc 33.203 (29.517)	lr 0.03662
Warmup Train [14][1810/2134]	Time 0.637 (0.630)	Data 0.006 (0.013)	Loss 4.8530 (4.9662)	Top-1 acc 12.500 (12.034)	Top-5 acc 33.203 (29.523)	lr 0.03662
Warmup Train [14][1820/2134]	Time 0.716 (0.630)	Data 0.002 (0.013)	Loss 4.8878 (4.9659)	Top-1 acc 12.500 (12.035)	Top-5 acc 33.594 (29.532)	lr 0.03661
Warmup Train [14][1830/2134]	Time 0.426 (0.630)	Data 0.002 (0.013)	Loss 4.9616 (4.9658)	Top-1 acc 10.547 (12.038)	Top-5 acc 26.562 (29.532)	lr 0.03660
Warmup Train [14][1840/2134]	Time 0.820 (0.630)	Data 0.003 (0.013)	Loss 4.9788 (4.9656)	Top-1 acc 12.891 (12.042)	Top-5 acc 28.516 (29.540)	lr 0.03659
Warmup Train [14][1850/2134]	Time 0.512 (0.630)	Data 0.002 (0.013)	Loss 4.9496 (4.9654)	Top-1 acc 12.500 (12.046)	Top-5 acc 32.031 (29.548)	lr 0.03658
Warmup Train [14][1860/2134]	Time 0.648 (0.630)	Data 0.002 (0.013)	Loss 4.9578 (4.9652)	Top-1 acc 10.938 (12.050)	Top-5 acc 30.078 (29.559)	lr 0.03657
Warmup Train [14][1870/2134]	Time 0.660 (0.630)	Data 0.002 (0.013)	Loss 4.9532 (4.9649)	Top-1 acc 11.328 (12.049)	Top-5 acc 28.125 (29.563)	lr 0.03657
Warmup Train [14][1880/2134]	Time 0.415 (0.630)	Data 0.002 (0.013)	Loss 4.9542 (4.9647)	Top-1 acc 12.500 (12.050)	Top-5 acc 29.688 (29.560)	lr 0.03656
Warmup Train [14][1890/2134]	Time 0.546 (0.630)	Data 0.002 (0.013)	Loss 5.0691 (4.9649)	Top-1 acc 12.500 (12.049)	Top-5 acc 26.562 (29.556)	lr 0.03655
Warmup Train [14][1900/2134]	Time 0.451 (0.630)	Data 0.003 (0.013)	Loss 5.0968 (4.9648)	Top-1 acc 9.766 (12.051)	Top-5 acc 27.344 (29.559)	lr 0.03654
Warmup Train [14][1910/2134]	Time 0.786 (0.630)	Data 0.002 (0.013)	Loss 5.0222 (4.9647)	Top-1 acc 10.938 (12.054)	Top-5 acc 28.516 (29.562)	lr 0.03653
Warmup Train [14][1920/2134]	Time 0.686 (0.629)	Data 0.002 (0.013)	Loss 4.8825 (4.9645)	Top-1 acc 13.672 (12.054)	Top-5 acc 32.031 (29.562)	lr 0.03653
Warmup Train [14][1930/2134]	Time 0.605 (0.630)	Data 0.002 (0.013)	Loss 4.8340 (4.9642)	Top-1 acc 14.062 (12.059)	Top-5 acc 33.594 (29.572)	lr 0.03652
Warmup Train [14][1940/2134]	Time 0.458 (0.630)	Data 0.002 (0.013)	Loss 4.8585 (4.9642)	Top-1 acc 10.547 (12.058)	Top-5 acc 34.375 (29.570)	lr 0.03651
Warmup Train [14][1950/2134]	Time 0.641 (0.630)	Data 0.002 (0.013)	Loss 5.0545 (4.9641)	Top-1 acc 9.766 (12.060)	Top-5 acc 23.438 (29.572)	lr 0.03650
Warmup Train [14][1960/2134]	Time 0.790 (0.630)	Data 0.002 (0.013)	Loss 5.0116 (4.9640)	Top-1 acc 10.547 (12.061)	Top-5 acc 26.953 (29.573)	lr 0.03649
Warmup Train [14][1970/2134]	Time 0.654 (0.629)	Data 0.002 (0.013)	Loss 4.9566 (4.9638)	Top-1 acc 12.891 (12.067)	Top-5 acc 31.641 (29.578)	lr 0.03648
Warmup Train [14][1980/2134]	Time 0.688 (0.629)	Data 0.003 (0.013)	Loss 4.9060 (4.9637)	Top-1 acc 11.719 (12.064)	Top-5 acc 29.297 (29.577)	lr 0.03648
Warmup Train [14][1990/2134]	Time 0.545 (0.629)	Data 0.002 (0.013)	Loss 4.9263 (4.9634)	Top-1 acc 12.891 (12.072)	Top-5 acc 27.734 (29.589)	lr 0.03647
Warmup Train [14][2000/2134]	Time 0.438 (0.629)	Data 0.002 (0.013)	Loss 5.0242 (4.9631)	Top-1 acc 14.062 (12.080)	Top-5 acc 25.781 (29.595)	lr 0.03646
Warmup Train [14][2010/2134]	Time 0.541 (0.629)	Data 0.002 (0.013)	Loss 4.9567 (4.9632)	Top-1 acc 12.500 (12.077)	Top-5 acc 28.516 (29.593)	lr 0.03645
Warmup Train [14][2020/2134]	Time 0.550 (0.629)	Data 0.002 (0.013)	Loss 5.0534 (4.9632)	Top-1 acc 9.375 (12.078)	Top-5 acc 26.562 (29.596)	lr 0.03644
Warmup Train [14][2030/2134]	Time 0.501 (0.629)	Data 0.005 (0.013)	Loss 5.0218 (4.9629)	Top-1 acc 10.938 (12.077)	Top-5 acc 24.609 (29.600)	lr 0.03644
Warmup Train [14][2040/2134]	Time 0.699 (0.629)	Data 0.002 (0.013)	Loss 4.7885 (4.9629)	Top-1 acc 17.578 (12.078)	Top-5 acc 32.422 (29.597)	lr 0.03643
Warmup Train [14][2050/2134]	Time 0.536 (0.629)	Data 0.002 (0.013)	Loss 4.6636 (4.9626)	Top-1 acc 16.797 (12.082)	Top-5 acc 35.547 (29.608)	lr 0.03642
Warmup Train [14][2060/2134]	Time 0.727 (0.629)	Data 0.002 (0.013)	Loss 5.0195 (4.9627)	Top-1 acc 10.547 (12.079)	Top-5 acc 29.688 (29.608)	lr 0.03641
Warmup Train [14][2070/2134]	Time 0.683 (0.628)	Data 0.002 (0.013)	Loss 4.9433 (4.9626)	Top-1 acc 9.766 (12.078)	Top-5 acc 27.344 (29.606)	lr 0.03640
Warmup Train [14][2080/2134]	Time 0.511 (0.629)	Data 0.000 (0.013)	Loss 5.0643 (4.9624)	Top-1 acc 10.547 (12.082)	Top-5 acc 28.906 (29.610)	lr 0.03639
Warmup Train [14][2090/2134]	Time 0.675 (0.629)	Data 0.000 (0.012)	Loss 5.0727 (4.9623)	Top-1 acc 8.594 (12.079)	Top-5 acc 25.781 (29.612)	lr 0.03639
Warmup Train [14][2100/2134]	Time 0.707 (0.628)	Data 0.000 (0.012)	Loss 4.7634 (4.9619)	Top-1 acc 14.844 (12.084)	Top-5 acc 33.594 (29.622)	lr 0.03638
Warmup Train [14][2110/2134]	Time 0.611 (0.628)	Data 0.000 (0.012)	Loss 5.0568 (4.9618)	Top-1 acc 10.156 (12.088)	Top-5 acc 25.000 (29.622)	lr 0.03637
Warmup Train [14][2120/2134]	Time 0.564 (0.628)	Data 0.000 (0.012)	Loss 4.9937 (4.9618)	Top-1 acc 10.547 (12.089)	Top-5 acc 29.688 (29.625)	lr 0.03636
Warmup Train [14][2130/2134]	Time 0.633 (0.628)	Data 0.000 (0.012)	Loss 4.9093 (4.9615)	Top-1 acc 17.188 (12.093)	Top-5 acc 32.031 (29.630)	lr 0.03635
Warmup Train [14][2134/2134]	Time 0.545 (0.628)	Data 0.000 (0.012)	Loss 4.8705 (4.9614)	Top-1 acc 17.112 (12.097)	Top-5 acc 33.155 (29.630)	lr 0.03635
==========Warmup Valid [14/40]	loss 4.161	top-1 acc 17.293	top-5 acc 38.216	Train top-1 12.097	top-5 29.630	flops: 442.4M
Warmup Train [15][0/2134]	Time 14.494 (14.494)	Data 11.674 (11.674)	Loss 5.0056 (5.0056)	Top-1 acc 9.766 (9.766)	Top-5 acc 29.688 (29.688)	lr 0.03635
Warmup Train [15][10/2134]	Time 0.554 (2.008)	Data 0.002 (1.119)	Loss 4.8951 (4.9441)	Top-1 acc 15.625 (12.180)	Top-5 acc 32.812 (31.037)	lr 0.03634
Warmup Train [15][20/2134]	Time 0.696 (1.353)	Data 0.002 (0.593)	Loss 4.7879 (4.9154)	Top-1 acc 10.938 (12.481)	Top-5 acc 29.688 (31.157)	lr 0.03633
Warmup Train [15][30/2134]	Time 0.590 (1.119)	Data 0.002 (0.403)	Loss 4.8491 (4.9278)	Top-1 acc 13.281 (12.361)	Top-5 acc 35.547 (30.935)	lr 0.03633
Warmup Train [15][40/2134]	Time 0.674 (0.997)	Data 0.002 (0.305)	Loss 4.6996 (4.9285)	Top-1 acc 16.016 (12.386)	Top-5 acc 38.281 (30.964)	lr 0.03632
Warmup Train [15][50/2134]	Time 0.508 (0.955)	Data 0.002 (0.246)	Loss 5.0582 (4.9276)	Top-1 acc 9.766 (12.431)	Top-5 acc 26.953 (31.028)	lr 0.03631
Warmup Train [15][60/2134]	Time 0.560 (0.901)	Data 0.002 (0.207)	Loss 4.7598 (4.9220)	Top-1 acc 12.109 (12.564)	Top-5 acc 33.984 (31.045)	lr 0.03630
Warmup Train [15][70/2134]	Time 0.630 (0.861)	Data 0.002 (0.179)	Loss 4.8007 (4.9184)	Top-1 acc 13.672 (12.654)	Top-5 acc 33.203 (31.074)	lr 0.03629
Warmup Train [15][80/2134]	Time 0.709 (0.830)	Data 0.002 (0.157)	Loss 5.0564 (4.9206)	Top-1 acc 8.984 (12.731)	Top-5 acc 28.516 (31.004)	lr 0.03628
Warmup Train [15][90/2134]	Time 0.450 (0.805)	Data 0.002 (0.140)	Loss 4.9973 (4.9190)	Top-1 acc 12.891 (12.843)	Top-5 acc 31.641 (31.100)	lr 0.03628
Warmup Train [15][100/2134]	Time 0.491 (0.787)	Data 0.002 (0.128)	Loss 4.9943 (4.9206)	Top-1 acc 15.625 (12.891)	Top-5 acc 31.250 (31.045)	lr 0.03627
Warmup Train [15][110/2134]	Time 0.624 (0.774)	Data 0.002 (0.118)	Loss 4.9594 (4.9193)	Top-1 acc 11.328 (12.873)	Top-5 acc 27.734 (31.056)	lr 0.03626
Warmup Train [15][120/2134]	Time 0.480 (0.761)	Data 0.002 (0.109)	Loss 4.8385 (4.9183)	Top-1 acc 12.891 (12.868)	Top-5 acc 35.547 (30.937)	lr 0.03625
Warmup Train [15][130/2134]	Time 0.631 (0.750)	Data 0.004 (0.101)	Loss 4.7804 (4.9173)	Top-1 acc 16.797 (12.867)	Top-5 acc 35.156 (30.961)	lr 0.03624
Warmup Train [15][140/2134]	Time 0.550 (0.741)	Data 0.002 (0.094)	Loss 4.8169 (4.9169)	Top-1 acc 14.062 (12.896)	Top-5 acc 32.422 (30.990)	lr 0.03623
Warmup Train [15][150/2134]	Time 0.660 (0.731)	Data 0.002 (0.088)	Loss 4.9335 (4.9175)	Top-1 acc 10.547 (12.823)	Top-5 acc 28.906 (30.916)	lr 0.03623
Warmup Train [15][160/2134]	Time 0.565 (0.723)	Data 0.002 (0.083)	Loss 4.8838 (4.9184)	Top-1 acc 14.844 (12.840)	Top-5 acc 35.156 (30.944)	lr 0.03622
Warmup Train [15][170/2134]	Time 0.663 (0.717)	Data 0.002 (0.078)	Loss 4.7985 (4.9164)	Top-1 acc 14.062 (12.868)	Top-5 acc 32.812 (30.980)	lr 0.03621
Warmup Train [15][180/2134]	Time 0.706 (0.712)	Data 0.004 (0.074)	Loss 4.8675 (4.9155)	Top-1 acc 12.109 (12.865)	Top-5 acc 31.250 (30.961)	lr 0.03620
Warmup Train [15][190/2134]	Time 0.514 (0.714)	Data 0.002 (0.071)	Loss 4.9729 (4.9150)	Top-1 acc 13.281 (12.815)	Top-5 acc 31.250 (30.966)	lr 0.03619
Warmup Train [15][200/2134]	Time 0.540 (0.710)	Data 0.002 (0.068)	Loss 5.0413 (4.9177)	Top-1 acc 11.719 (12.778)	Top-5 acc 28.125 (30.861)	lr 0.03619
Warmup Train [15][210/2134]	Time 0.659 (0.705)	Data 0.002 (0.065)	Loss 5.0973 (4.9195)	Top-1 acc 12.500 (12.752)	Top-5 acc 26.953 (30.800)	lr 0.03618
Warmup Train [15][220/2134]	Time 0.642 (0.702)	Data 0.002 (0.063)	Loss 4.9608 (4.9200)	Top-1 acc 9.766 (12.694)	Top-5 acc 28.516 (30.760)	lr 0.03617
Warmup Train [15][230/2134]	Time 0.714 (0.698)	Data 0.002 (0.060)	Loss 5.0522 (4.9197)	Top-1 acc 9.375 (12.688)	Top-5 acc 27.734 (30.804)	lr 0.03616
Warmup Train [15][240/2134]	Time 0.550 (0.693)	Data 0.002 (0.058)	Loss 4.8449 (4.9202)	Top-1 acc 12.891 (12.675)	Top-5 acc 32.812 (30.796)	lr 0.03615
Warmup Train [15][250/2134]	Time 0.602 (0.692)	Data 0.003 (0.056)	Loss 5.0157 (4.9196)	Top-1 acc 10.547 (12.693)	Top-5 acc 25.000 (30.775)	lr 0.03614
Warmup Train [15][260/2134]	Time 0.653 (0.689)	Data 0.002 (0.054)	Loss 4.9231 (4.9202)	Top-1 acc 13.672 (12.693)	Top-5 acc 31.250 (30.726)	lr 0.03614
Warmup Train [15][270/2134]	Time 0.508 (0.686)	Data 0.003 (0.052)	Loss 4.9243 (4.9206)	Top-1 acc 9.375 (12.687)	Top-5 acc 29.688 (30.704)	lr 0.03613
Warmup Train [15][280/2134]	Time 0.630 (0.685)	Data 0.002 (0.051)	Loss 4.8545 (4.9212)	Top-1 acc 14.453 (12.674)	Top-5 acc 32.812 (30.670)	lr 0.03612
Warmup Train [15][290/2134]	Time 0.631 (0.683)	Data 0.002 (0.049)	Loss 4.8018 (4.9191)	Top-1 acc 15.234 (12.675)	Top-5 acc 34.375 (30.697)	lr 0.03611
Warmup Train [15][300/2134]	Time 0.715 (0.680)	Data 0.002 (0.048)	Loss 4.9447 (4.9189)	Top-1 acc 10.938 (12.671)	Top-5 acc 27.344 (30.684)	lr 0.03610
Warmup Train [15][310/2134]	Time 0.520 (0.678)	Data 0.003 (0.047)	Loss 4.8051 (4.9197)	Top-1 acc 13.672 (12.696)	Top-5 acc 31.641 (30.665)	lr 0.03610
Warmup Train [15][320/2134]	Time 0.432 (0.679)	Data 0.002 (0.046)	Loss 4.8172 (4.9189)	Top-1 acc 14.453 (12.709)	Top-5 acc 36.328 (30.715)	lr 0.03609
Warmup Train [15][330/2134]	Time 0.625 (0.678)	Data 0.002 (0.045)	Loss 4.9960 (4.9188)	Top-1 acc 11.719 (12.703)	Top-5 acc 28.516 (30.697)	lr 0.03608
Warmup Train [15][340/2134]	Time 0.671 (0.676)	Data 0.003 (0.044)	Loss 4.7908 (4.9187)	Top-1 acc 21.094 (12.734)	Top-5 acc 38.672 (30.746)	lr 0.03607
Warmup Train [15][350/2134]	Time 0.637 (0.674)	Data 0.002 (0.043)	Loss 4.9121 (4.9191)	Top-1 acc 12.109 (12.730)	Top-5 acc 28.516 (30.731)	lr 0.03606
Warmup Train [15][360/2134]	Time 0.784 (0.673)	Data 0.002 (0.042)	Loss 4.9094 (4.9198)	Top-1 acc 10.938 (12.689)	Top-5 acc 28.906 (30.697)	lr 0.03605
Warmup Train [15][370/2134]	Time 0.641 (0.670)	Data 0.002 (0.041)	Loss 4.9402 (4.9211)	Top-1 acc 13.281 (12.691)	Top-5 acc 27.734 (30.676)	lr 0.03605
Warmup Train [15][380/2134]	Time 0.716 (0.669)	Data 0.002 (0.040)	Loss 4.9217 (4.9211)	Top-1 acc 10.547 (12.711)	Top-5 acc 28.906 (30.676)	lr 0.03604
Warmup Train [15][390/2134]	Time 0.790 (0.668)	Data 0.002 (0.039)	Loss 4.8963 (4.9202)	Top-1 acc 11.328 (12.709)	Top-5 acc 29.688 (30.688)	lr 0.03603
Warmup Train [15][400/2134]	Time 0.445 (0.667)	Data 0.002 (0.038)	Loss 4.8967 (4.9203)	Top-1 acc 13.281 (12.699)	Top-5 acc 30.078 (30.650)	lr 0.03602
Warmup Train [15][410/2134]	Time 0.549 (0.666)	Data 0.003 (0.037)	Loss 4.9242 (4.9206)	Top-1 acc 12.500 (12.707)	Top-5 acc 33.594 (30.648)	lr 0.03601
Warmup Train [15][420/2134]	Time 0.537 (0.664)	Data 0.002 (0.037)	Loss 4.8295 (4.9204)	Top-1 acc 13.672 (12.714)	Top-5 acc 31.641 (30.653)	lr 0.03600
Warmup Train [15][430/2134]	Time 0.704 (0.664)	Data 0.002 (0.036)	Loss 4.8297 (4.9200)	Top-1 acc 13.281 (12.702)	Top-5 acc 33.984 (30.680)	lr 0.03600
Warmup Train [15][440/2134]	Time 0.461 (0.662)	Data 0.002 (0.035)	Loss 4.8868 (4.9191)	Top-1 acc 11.328 (12.728)	Top-5 acc 33.594 (30.712)	lr 0.03599
Warmup Train [15][450/2134]	Time 0.555 (0.661)	Data 0.002 (0.035)	Loss 4.8656 (4.9188)	Top-1 acc 15.234 (12.732)	Top-5 acc 31.641 (30.699)	lr 0.03598
Warmup Train [15][460/2134]	Time 0.656 (0.663)	Data 0.002 (0.035)	Loss 4.9536 (4.9190)	Top-1 acc 15.234 (12.726)	Top-5 acc 28.125 (30.694)	lr 0.03597
Warmup Train [15][470/2134]	Time 0.639 (0.662)	Data 0.002 (0.034)	Loss 4.9366 (4.9183)	Top-1 acc 10.938 (12.750)	Top-5 acc 28.516 (30.718)	lr 0.03596
Warmup Train [15][480/2134]	Time 0.617 (0.661)	Data 0.002 (0.033)	Loss 4.9682 (4.9179)	Top-1 acc 11.719 (12.745)	Top-5 acc 28.516 (30.724)	lr 0.03595
Warmup Train [15][490/2134]	Time 0.596 (0.660)	Data 0.002 (0.033)	Loss 4.9796 (4.9178)	Top-1 acc 14.453 (12.755)	Top-5 acc 30.078 (30.747)	lr 0.03595
Warmup Train [15][500/2134]	Time 0.653 (0.659)	Data 0.002 (0.032)	Loss 4.9843 (4.9179)	Top-1 acc 13.672 (12.756)	Top-5 acc 28.125 (30.738)	lr 0.03594
Warmup Train [15][510/2134]	Time 0.765 (0.658)	Data 0.003 (0.032)	Loss 4.9044 (4.9180)	Top-1 acc 16.797 (12.764)	Top-5 acc 33.594 (30.739)	lr 0.03593
Warmup Train [15][520/2134]	Time 0.508 (0.657)	Data 0.002 (0.031)	Loss 4.9800 (4.9173)	Top-1 acc 10.156 (12.775)	Top-5 acc 29.297 (30.770)	lr 0.03592
Warmup Train [15][530/2134]	Time 0.842 (0.657)	Data 0.002 (0.031)	Loss 4.8484 (4.9173)	Top-1 acc 13.672 (12.771)	Top-5 acc 34.766 (30.790)	lr 0.03591
Warmup Train [15][540/2134]	Time 0.700 (0.656)	Data 0.002 (0.030)	Loss 4.9807 (4.9178)	Top-1 acc 11.719 (12.762)	Top-5 acc 33.203 (30.785)	lr 0.03591
Warmup Train [15][550/2134]	Time 0.714 (0.655)	Data 0.002 (0.030)	Loss 4.9581 (4.9180)	Top-1 acc 11.719 (12.762)	Top-5 acc 32.031 (30.781)	lr 0.03590
Warmup Train [15][560/2134]	Time 0.727 (0.655)	Data 0.002 (0.029)	Loss 4.9383 (4.9184)	Top-1 acc 9.375 (12.740)	Top-5 acc 33.594 (30.774)	lr 0.03589
Warmup Train [15][570/2134]	Time 0.609 (0.654)	Data 0.002 (0.029)	Loss 4.9164 (4.9174)	Top-1 acc 11.328 (12.752)	Top-5 acc 32.031 (30.789)	lr 0.03588
Warmup Train [15][580/2134]	Time 0.593 (0.653)	Data 0.004 (0.029)	Loss 4.8327 (4.9174)	Top-1 acc 15.234 (12.757)	Top-5 acc 32.422 (30.781)	lr 0.03587
Warmup Train [15][590/2134]	Time 0.585 (0.652)	Data 0.002 (0.028)	Loss 4.9857 (4.9172)	Top-1 acc 12.500 (12.759)	Top-5 acc 29.688 (30.797)	lr 0.03586
Warmup Train [15][600/2134]	Time 0.725 (0.653)	Data 0.002 (0.028)	Loss 4.7917 (4.9173)	Top-1 acc 17.969 (12.759)	Top-5 acc 37.109 (30.813)	lr 0.03586
Warmup Train [15][610/2134]	Time 0.683 (0.653)	Data 0.002 (0.027)	Loss 5.0340 (4.9178)	Top-1 acc 12.109 (12.753)	Top-5 acc 28.516 (30.794)	lr 0.03585
Warmup Train [15][620/2134]	Time 0.485 (0.652)	Data 0.002 (0.027)	Loss 4.9389 (4.9181)	Top-1 acc 10.156 (12.737)	Top-5 acc 31.641 (30.783)	lr 0.03584
Warmup Train [15][630/2134]	Time 0.652 (0.651)	Data 0.002 (0.027)	Loss 4.9630 (4.9183)	Top-1 acc 13.672 (12.736)	Top-5 acc 30.469 (30.789)	lr 0.03583
Warmup Train [15][640/2134]	Time 0.556 (0.650)	Data 0.002 (0.027)	Loss 5.0155 (4.9185)	Top-1 acc 10.156 (12.742)	Top-5 acc 27.734 (30.794)	lr 0.03582
Warmup Train [15][650/2134]	Time 0.635 (0.650)	Data 0.002 (0.026)	Loss 4.8615 (4.9188)	Top-1 acc 9.766 (12.738)	Top-5 acc 26.562 (30.785)	lr 0.03581
Warmup Train [15][660/2134]	Time 0.650 (0.649)	Data 0.002 (0.026)	Loss 4.9400 (4.9186)	Top-1 acc 10.156 (12.740)	Top-5 acc 30.078 (30.796)	lr 0.03581
Warmup Train [15][670/2134]	Time 0.505 (0.649)	Data 0.002 (0.026)	Loss 4.9503 (4.9191)	Top-1 acc 8.984 (12.727)	Top-5 acc 26.562 (30.780)	lr 0.03580
Warmup Train [15][680/2134]	Time 0.674 (0.648)	Data 0.002 (0.026)	Loss 4.9593 (4.9193)	Top-1 acc 12.500 (12.728)	Top-5 acc 29.297 (30.772)	lr 0.03579
Warmup Train [15][690/2134]	Time 0.621 (0.647)	Data 0.002 (0.025)	Loss 4.9417 (4.9191)	Top-1 acc 12.891 (12.738)	Top-5 acc 29.297 (30.792)	lr 0.03578
Warmup Train [15][700/2134]	Time 0.631 (0.647)	Data 0.003 (0.025)	Loss 4.8207 (4.9197)	Top-1 acc 15.234 (12.726)	Top-5 acc 34.766 (30.766)	lr 0.03577
Warmup Train [15][710/2134]	Time 0.570 (0.646)	Data 0.002 (0.025)	Loss 4.9731 (4.9199)	Top-1 acc 12.500 (12.733)	Top-5 acc 31.641 (30.762)	lr 0.03576
Warmup Train [15][720/2134]	Time 0.463 (0.646)	Data 0.002 (0.025)	Loss 4.8506 (4.9195)	Top-1 acc 12.891 (12.742)	Top-5 acc 35.156 (30.778)	lr 0.03576
Warmup Train [15][730/2134]	Time 2.043 (0.648)	Data 0.002 (0.024)	Loss 4.8421 (4.9193)	Top-1 acc 12.891 (12.737)	Top-5 acc 34.766 (30.781)	lr 0.03575
Warmup Train [15][740/2134]	Time 0.597 (0.647)	Data 0.002 (0.024)	Loss 4.9786 (4.9192)	Top-1 acc 14.844 (12.756)	Top-5 acc 30.469 (30.791)	lr 0.03574
Warmup Train [15][750/2134]	Time 0.764 (0.646)	Data 0.002 (0.024)	Loss 5.0068 (4.9193)	Top-1 acc 11.328 (12.760)	Top-5 acc 28.516 (30.779)	lr 0.03573
Warmup Train [15][760/2134]	Time 0.513 (0.646)	Data 0.002 (0.024)	Loss 5.0279 (4.9195)	Top-1 acc 13.281 (12.757)	Top-5 acc 28.516 (30.776)	lr 0.03572
Warmup Train [15][770/2134]	Time 0.594 (0.645)	Data 0.002 (0.023)	Loss 4.8729 (4.9190)	Top-1 acc 17.188 (12.765)	Top-5 acc 33.594 (30.787)	lr 0.03571
Warmup Train [15][780/2134]	Time 0.760 (0.644)	Data 0.002 (0.023)	Loss 4.8639 (4.9191)	Top-1 acc 11.719 (12.759)	Top-5 acc 34.375 (30.783)	lr 0.03571
Warmup Train [15][790/2134]	Time 0.516 (0.644)	Data 0.003 (0.023)	Loss 4.8531 (4.9193)	Top-1 acc 8.984 (12.745)	Top-5 acc 32.031 (30.781)	lr 0.03570
Warmup Train [15][800/2134]	Time 0.447 (0.643)	Data 0.002 (0.023)	Loss 4.9315 (4.9191)	Top-1 acc 11.328 (12.744)	Top-5 acc 29.688 (30.773)	lr 0.03569
Warmup Train [15][810/2134]	Time 0.517 (0.643)	Data 0.003 (0.023)	Loss 4.8923 (4.9191)	Top-1 acc 12.891 (12.745)	Top-5 acc 32.422 (30.764)	lr 0.03568
Warmup Train [15][820/2134]	Time 0.501 (0.642)	Data 0.002 (0.023)	Loss 4.8678 (4.9187)	Top-1 acc 12.891 (12.736)	Top-5 acc 30.469 (30.772)	lr 0.03567
Warmup Train [15][830/2134]	Time 0.575 (0.642)	Data 0.002 (0.023)	Loss 4.9839 (4.9185)	Top-1 acc 10.938 (12.739)	Top-5 acc 30.078 (30.776)	lr 0.03566
Warmup Train [15][840/2134]	Time 0.518 (0.642)	Data 0.002 (0.023)	Loss 4.7990 (4.9181)	Top-1 acc 11.328 (12.740)	Top-5 acc 32.031 (30.788)	lr 0.03566
Warmup Train [15][850/2134]	Time 0.803 (0.641)	Data 0.002 (0.022)	Loss 4.9199 (4.9180)	Top-1 acc 14.062 (12.739)	Top-5 acc 31.641 (30.784)	lr 0.03565
Warmup Train [15][860/2134]	Time 0.633 (0.641)	Data 0.002 (0.022)	Loss 4.9236 (4.9185)	Top-1 acc 10.547 (12.730)	Top-5 acc 29.688 (30.770)	lr 0.03564
Warmup Train [15][870/2134]	Time 0.602 (0.641)	Data 0.002 (0.022)	Loss 5.1508 (4.9192)	Top-1 acc 12.109 (12.722)	Top-5 acc 27.344 (30.752)	lr 0.03563
Warmup Train [15][880/2134]	Time 0.609 (0.642)	Data 0.002 (0.022)	Loss 5.2102 (4.9196)	Top-1 acc 8.984 (12.726)	Top-5 acc 22.656 (30.735)	lr 0.03562
Warmup Train [15][890/2134]	Time 0.535 (0.641)	Data 0.003 (0.022)	Loss 4.9616 (4.9196)	Top-1 acc 16.406 (12.725)	Top-5 acc 30.078 (30.720)	lr 0.03561
Warmup Train [15][900/2134]	Time 0.724 (0.641)	Data 0.002 (0.022)	Loss 5.0060 (4.9191)	Top-1 acc 15.234 (12.741)	Top-5 acc 30.078 (30.744)	lr 0.03561
Warmup Train [15][910/2134]	Time 0.653 (0.641)	Data 0.002 (0.021)	Loss 4.8676 (4.9187)	Top-1 acc 13.281 (12.741)	Top-5 acc 31.641 (30.743)	lr 0.03560
Warmup Train [15][920/2134]	Time 0.622 (0.641)	Data 0.024 (0.021)	Loss 5.0408 (4.9188)	Top-1 acc 11.328 (12.738)	Top-5 acc 29.688 (30.750)	lr 0.03559
Warmup Train [15][930/2134]	Time 0.554 (0.640)	Data 0.002 (0.021)	Loss 4.8408 (4.9186)	Top-1 acc 14.062 (12.748)	Top-5 acc 32.812 (30.747)	lr 0.03558
Warmup Train [15][940/2134]	Time 0.664 (0.640)	Data 0.002 (0.021)	Loss 4.7418 (4.9180)	Top-1 acc 14.844 (12.756)	Top-5 acc 30.469 (30.762)	lr 0.03557
Warmup Train [15][950/2134]	Time 0.700 (0.640)	Data 0.003 (0.021)	Loss 4.7604 (4.9177)	Top-1 acc 15.234 (12.757)	Top-5 acc 32.812 (30.769)	lr 0.03556
Warmup Train [15][960/2134]	Time 0.698 (0.639)	Data 0.002 (0.021)	Loss 4.9679 (4.9180)	Top-1 acc 12.891 (12.749)	Top-5 acc 28.125 (30.752)	lr 0.03556
Warmup Train [15][970/2134]	Time 0.619 (0.639)	Data 0.002 (0.020)	Loss 4.8287 (4.9176)	Top-1 acc 14.453 (12.762)	Top-5 acc 35.938 (30.768)	lr 0.03555
Warmup Train [15][980/2134]	Time 0.734 (0.639)	Data 0.004 (0.020)	Loss 4.9168 (4.9173)	Top-1 acc 10.938 (12.765)	Top-5 acc 28.906 (30.769)	lr 0.03554
Warmup Train [15][990/2134]	Time 0.525 (0.638)	Data 0.002 (0.020)	Loss 4.8701 (4.9172)	Top-1 acc 16.406 (12.763)	Top-5 acc 33.594 (30.779)	lr 0.03553
Warmup Train [15][1000/2134]	Time 0.731 (0.638)	Data 0.002 (0.020)	Loss 4.8555 (4.9164)	Top-1 acc 12.109 (12.775)	Top-5 acc 30.859 (30.795)	lr 0.03552
Warmup Train [15][1010/2134]	Time 1.808 (0.639)	Data 0.002 (0.020)	Loss 4.8994 (4.9163)	Top-1 acc 15.234 (12.783)	Top-5 acc 27.734 (30.798)	lr 0.03551
Warmup Train [15][1020/2134]	Time 0.651 (0.639)	Data 0.002 (0.020)	Loss 5.0074 (4.9163)	Top-1 acc 10.547 (12.787)	Top-5 acc 31.641 (30.797)	lr 0.03551
Warmup Train [15][1030/2134]	Time 0.694 (0.639)	Data 0.002 (0.020)	Loss 4.9484 (4.9162)	Top-1 acc 9.375 (12.791)	Top-5 acc 31.250 (30.803)	lr 0.03550
Warmup Train [15][1040/2134]	Time 0.496 (0.638)	Data 0.003 (0.020)	Loss 4.8871 (4.9158)	Top-1 acc 14.844 (12.795)	Top-5 acc 32.031 (30.812)	lr 0.03549
Warmup Train [15][1050/2134]	Time 0.474 (0.638)	Data 0.003 (0.019)	Loss 4.8080 (4.9150)	Top-1 acc 13.281 (12.803)	Top-5 acc 35.938 (30.825)	lr 0.03548
Warmup Train [15][1060/2134]	Time 0.771 (0.638)	Data 0.002 (0.019)	Loss 4.7893 (4.9145)	Top-1 acc 17.188 (12.807)	Top-5 acc 35.156 (30.840)	lr 0.03547
Warmup Train [15][1070/2134]	Time 0.680 (0.638)	Data 0.002 (0.019)	Loss 4.9638 (4.9145)	Top-1 acc 11.719 (12.802)	Top-5 acc 30.469 (30.835)	lr 0.03546
Warmup Train [15][1080/2134]	Time 0.633 (0.637)	Data 0.002 (0.019)	Loss 4.9604 (4.9142)	Top-1 acc 12.109 (12.811)	Top-5 acc 28.906 (30.849)	lr 0.03546
Warmup Train [15][1090/2134]	Time 0.523 (0.637)	Data 0.002 (0.019)	Loss 4.8324 (4.9141)	Top-1 acc 12.500 (12.808)	Top-5 acc 31.641 (30.855)	lr 0.03545
Warmup Train [15][1100/2134]	Time 0.567 (0.637)	Data 0.002 (0.019)	Loss 4.7927 (4.9138)	Top-1 acc 16.797 (12.816)	Top-5 acc 34.375 (30.873)	lr 0.03544
Warmup Train [15][1110/2134]	Time 0.778 (0.637)	Data 0.002 (0.019)	Loss 4.8779 (4.9133)	Top-1 acc 16.016 (12.827)	Top-5 acc 33.984 (30.887)	lr 0.03543
Warmup Train [15][1120/2134]	Time 0.631 (0.637)	Data 0.002 (0.019)	Loss 4.6539 (4.9127)	Top-1 acc 16.016 (12.830)	Top-5 acc 37.109 (30.894)	lr 0.03542
Warmup Train [15][1130/2134]	Time 0.518 (0.636)	Data 0.002 (0.019)	Loss 4.7667 (4.9126)	Top-1 acc 17.969 (12.830)	Top-5 acc 31.641 (30.894)	lr 0.03541
Warmup Train [15][1140/2134]	Time 0.775 (0.636)	Data 0.002 (0.019)	Loss 4.8612 (4.9129)	Top-1 acc 13.672 (12.826)	Top-5 acc 30.078 (30.888)	lr 0.03541
Warmup Train [15][1150/2134]	Time 0.517 (0.636)	Data 0.002 (0.018)	Loss 5.0370 (4.9131)	Top-1 acc 11.719 (12.823)	Top-5 acc 25.000 (30.874)	lr 0.03540
Warmup Train [15][1160/2134]	Time 0.536 (0.637)	Data 0.002 (0.018)	Loss 4.8643 (4.9132)	Top-1 acc 11.719 (12.822)	Top-5 acc 30.078 (30.869)	lr 0.03539
Warmup Train [15][1170/2134]	Time 0.624 (0.637)	Data 0.002 (0.018)	Loss 4.9138 (4.9129)	Top-1 acc 14.844 (12.826)	Top-5 acc 35.156 (30.883)	lr 0.03538
Warmup Train [15][1180/2134]	Time 0.674 (0.636)	Data 0.002 (0.018)	Loss 4.8744 (4.9125)	Top-1 acc 11.719 (12.830)	Top-5 acc 30.859 (30.895)	lr 0.03537
Warmup Train [15][1190/2134]	Time 0.679 (0.636)	Data 0.005 (0.018)	Loss 4.7616 (4.9124)	Top-1 acc 16.797 (12.833)	Top-5 acc 33.594 (30.895)	lr 0.03536
Warmup Train [15][1200/2134]	Time 0.600 (0.636)	Data 0.002 (0.018)	Loss 4.8132 (4.9122)	Top-1 acc 14.453 (12.843)	Top-5 acc 30.469 (30.905)	lr 0.03536
Warmup Train [15][1210/2134]	Time 0.753 (0.635)	Data 0.002 (0.018)	Loss 4.7307 (4.9122)	Top-1 acc 18.750 (12.847)	Top-5 acc 36.719 (30.910)	lr 0.03535
Warmup Train [15][1220/2134]	Time 0.459 (0.635)	Data 0.003 (0.018)	Loss 4.7925 (4.9122)	Top-1 acc 13.672 (12.843)	Top-5 acc 34.766 (30.909)	lr 0.03534
Warmup Train [15][1230/2134]	Time 0.740 (0.635)	Data 0.002 (0.018)	Loss 5.1630 (4.9118)	Top-1 acc 14.062 (12.858)	Top-5 acc 28.516 (30.920)	lr 0.03533
Warmup Train [15][1240/2134]	Time 0.612 (0.635)	Data 0.002 (0.018)	Loss 4.8483 (4.9118)	Top-1 acc 15.234 (12.860)	Top-5 acc 30.859 (30.920)	lr 0.03532
Warmup Train [15][1250/2134]	Time 0.605 (0.635)	Data 0.002 (0.017)	Loss 4.9732 (4.9119)	Top-1 acc 12.891 (12.862)	Top-5 acc 30.469 (30.918)	lr 0.03531
Warmup Train [15][1260/2134]	Time 0.531 (0.634)	Data 0.003 (0.017)	Loss 4.9038 (4.9116)	Top-1 acc 13.281 (12.860)	Top-5 acc 29.688 (30.919)	lr 0.03531
Warmup Train [15][1270/2134]	Time 0.532 (0.634)	Data 0.003 (0.017)	Loss 4.9398 (4.9114)	Top-1 acc 11.719 (12.864)	Top-5 acc 28.906 (30.925)	lr 0.03530
Warmup Train [15][1280/2134]	Time 0.565 (0.634)	Data 0.002 (0.017)	Loss 4.7967 (4.9110)	Top-1 acc 13.672 (12.869)	Top-5 acc 33.984 (30.947)	lr 0.03529
Warmup Train [15][1290/2134]	Time 0.488 (0.634)	Data 0.002 (0.017)	Loss 4.9168 (4.9103)	Top-1 acc 12.109 (12.875)	Top-5 acc 32.812 (30.964)	lr 0.03528
Warmup Train [15][1300/2134]	Time 0.523 (0.634)	Data 0.002 (0.017)	Loss 4.8642 (4.9102)	Top-1 acc 12.109 (12.877)	Top-5 acc 29.688 (30.963)	lr 0.03527
Warmup Train [15][1310/2134]	Time 0.676 (0.635)	Data 0.002 (0.017)	Loss 4.9634 (4.9100)	Top-1 acc 10.547 (12.874)	Top-5 acc 29.297 (30.968)	lr 0.03526
Warmup Train [15][1320/2134]	Time 0.627 (0.635)	Data 0.002 (0.017)	Loss 4.8969 (4.9097)	Top-1 acc 14.453 (12.883)	Top-5 acc 35.547 (30.975)	lr 0.03526
Warmup Train [15][1330/2134]	Time 0.459 (0.634)	Data 0.003 (0.017)	Loss 4.9441 (4.9098)	Top-1 acc 14.453 (12.886)	Top-5 acc 29.297 (30.980)	lr 0.03525
Warmup Train [15][1340/2134]	Time 0.617 (0.634)	Data 0.002 (0.017)	Loss 5.0365 (4.9093)	Top-1 acc 9.766 (12.887)	Top-5 acc 25.000 (30.994)	lr 0.03524
Warmup Train [15][1350/2134]	Time 0.485 (0.634)	Data 0.003 (0.017)	Loss 4.7841 (4.9089)	Top-1 acc 15.234 (12.883)	Top-5 acc 35.938 (31.009)	lr 0.03523
Warmup Train [15][1360/2134]	Time 0.566 (0.634)	Data 0.002 (0.017)	Loss 4.8754 (4.9089)	Top-1 acc 11.719 (12.887)	Top-5 acc 30.859 (31.003)	lr 0.03522
Warmup Train [15][1370/2134]	Time 0.668 (0.634)	Data 0.002 (0.017)	Loss 5.0389 (4.9091)	Top-1 acc 12.500 (12.891)	Top-5 acc 26.562 (30.998)	lr 0.03521
Warmup Train [15][1380/2134]	Time 0.752 (0.634)	Data 0.002 (0.017)	Loss 4.8544 (4.9087)	Top-1 acc 16.406 (12.895)	Top-5 acc 30.859 (31.008)	lr 0.03520
Warmup Train [15][1390/2134]	Time 0.453 (0.633)	Data 0.002 (0.016)	Loss 4.8441 (4.9082)	Top-1 acc 12.500 (12.911)	Top-5 acc 29.688 (31.017)	lr 0.03520
Warmup Train [15][1400/2134]	Time 0.601 (0.633)	Data 0.002 (0.017)	Loss 4.7928 (4.9082)	Top-1 acc 14.062 (12.911)	Top-5 acc 30.859 (31.005)	lr 0.03519
Warmup Train [15][1410/2134]	Time 0.678 (0.633)	Data 0.002 (0.016)	Loss 4.9192 (4.9080)	Top-1 acc 10.547 (12.914)	Top-5 acc 30.078 (31.002)	lr 0.03518
Warmup Train [15][1420/2134]	Time 0.627 (0.633)	Data 0.002 (0.016)	Loss 4.7635 (4.9078)	Top-1 acc 16.406 (12.929)	Top-5 acc 35.547 (31.012)	lr 0.03517
Warmup Train [15][1430/2134]	Time 0.477 (0.632)	Data 0.002 (0.016)	Loss 5.0651 (4.9079)	Top-1 acc 11.719 (12.926)	Top-5 acc 28.125 (31.014)	lr 0.03516
Warmup Train [15][1440/2134]	Time 0.448 (0.632)	Data 0.002 (0.016)	Loss 4.8509 (4.9075)	Top-1 acc 14.453 (12.928)	Top-5 acc 31.250 (31.019)	lr 0.03515
Warmup Train [15][1450/2134]	Time 0.635 (0.633)	Data 0.002 (0.016)	Loss 4.7717 (4.9070)	Top-1 acc 15.234 (12.933)	Top-5 acc 35.156 (31.028)	lr 0.03515
Warmup Train [15][1460/2134]	Time 0.626 (0.633)	Data 0.002 (0.016)	Loss 4.7899 (4.9068)	Top-1 acc 14.062 (12.941)	Top-5 acc 31.641 (31.035)	lr 0.03514
Warmup Train [15][1470/2134]	Time 0.676 (0.633)	Data 0.002 (0.016)	Loss 4.9369 (4.9069)	Top-1 acc 14.453 (12.945)	Top-5 acc 28.125 (31.031)	lr 0.03513
Warmup Train [15][1480/2134]	Time 0.700 (0.633)	Data 0.002 (0.016)	Loss 4.8189 (4.9068)	Top-1 acc 13.672 (12.935)	Top-5 acc 29.297 (31.036)	lr 0.03512
Warmup Train [15][1490/2134]	Time 0.673 (0.633)	Data 0.002 (0.016)	Loss 4.9890 (4.9067)	Top-1 acc 12.500 (12.947)	Top-5 acc 28.906 (31.042)	lr 0.03511
Warmup Train [15][1500/2134]	Time 0.597 (0.633)	Data 0.002 (0.016)	Loss 4.8761 (4.9063)	Top-1 acc 10.156 (12.951)	Top-5 acc 29.297 (31.041)	lr 0.03510
Warmup Train [15][1510/2134]	Time 0.684 (0.633)	Data 0.003 (0.016)	Loss 4.8824 (4.9060)	Top-1 acc 14.062 (12.952)	Top-5 acc 35.156 (31.049)	lr 0.03510
Warmup Train [15][1520/2134]	Time 0.622 (0.632)	Data 0.002 (0.016)	Loss 4.8656 (4.9056)	Top-1 acc 16.016 (12.963)	Top-5 acc 33.594 (31.056)	lr 0.03509
Warmup Train [15][1530/2134]	Time 0.484 (0.632)	Data 0.002 (0.016)	Loss 4.8057 (4.9055)	Top-1 acc 15.234 (12.967)	Top-5 acc 35.156 (31.056)	lr 0.03508
Warmup Train [15][1540/2134]	Time 0.607 (0.632)	Data 0.002 (0.016)	Loss 4.9411 (4.9055)	Top-1 acc 16.406 (12.970)	Top-5 acc 30.078 (31.056)	lr 0.03507
Warmup Train [15][1550/2134]	Time 0.483 (0.632)	Data 0.002 (0.015)	Loss 4.8554 (4.9057)	Top-1 acc 15.625 (12.967)	Top-5 acc 33.594 (31.051)	lr 0.03506
Warmup Train [15][1560/2134]	Time 0.511 (0.632)	Data 0.002 (0.015)	Loss 4.7653 (4.9055)	Top-1 acc 13.672 (12.970)	Top-5 acc 33.984 (31.056)	lr 0.03505
Warmup Train [15][1570/2134]	Time 0.709 (0.632)	Data 0.003 (0.015)	Loss 4.8075 (4.9050)	Top-1 acc 16.016 (12.976)	Top-5 acc 33.203 (31.062)	lr 0.03505
Warmup Train [15][1580/2134]	Time 0.591 (0.632)	Data 0.002 (0.015)	Loss 4.8560 (4.9045)	Top-1 acc 12.891 (12.979)	Top-5 acc 34.375 (31.075)	lr 0.03504
Warmup Train [15][1590/2134]	Time 0.636 (0.632)	Data 0.002 (0.015)	Loss 4.7820 (4.9041)	Top-1 acc 14.453 (12.986)	Top-5 acc 32.422 (31.088)	lr 0.03503
Warmup Train [15][1600/2134]	Time 0.576 (0.632)	Data 0.002 (0.015)	Loss 4.8545 (4.9041)	Top-1 acc 15.234 (12.988)	Top-5 acc 32.812 (31.091)	lr 0.03502
Warmup Train [15][1610/2134]	Time 0.591 (0.632)	Data 0.002 (0.015)	Loss 4.9057 (4.9039)	Top-1 acc 12.891 (12.997)	Top-5 acc 32.031 (31.099)	lr 0.03501
Warmup Train [15][1620/2134]	Time 0.575 (0.632)	Data 0.002 (0.015)	Loss 4.8300 (4.9039)	Top-1 acc 12.109 (12.998)	Top-5 acc 34.375 (31.103)	lr 0.03500
Warmup Train [15][1630/2134]	Time 0.590 (0.632)	Data 0.002 (0.015)	Loss 5.0443 (4.9041)	Top-1 acc 11.719 (12.995)	Top-5 acc 27.344 (31.096)	lr 0.03499
Warmup Train [15][1640/2134]	Time 0.784 (0.632)	Data 0.002 (0.015)	Loss 4.9018 (4.9039)	Top-1 acc 11.328 (12.994)	Top-5 acc 29.297 (31.089)	lr 0.03499
Warmup Train [15][1650/2134]	Time 0.651 (0.632)	Data 0.002 (0.015)	Loss 4.7368 (4.9038)	Top-1 acc 16.406 (12.996)	Top-5 acc 32.812 (31.083)	lr 0.03498
Warmup Train [15][1660/2134]	Time 0.610 (0.632)	Data 0.002 (0.015)	Loss 4.8701 (4.9036)	Top-1 acc 12.891 (13.001)	Top-5 acc 31.641 (31.092)	lr 0.03497
Warmup Train [15][1670/2134]	Time 0.661 (0.631)	Data 0.002 (0.015)	Loss 4.9075 (4.9037)	Top-1 acc 12.109 (13.000)	Top-5 acc 31.250 (31.091)	lr 0.03496
Warmup Train [15][1680/2134]	Time 0.638 (0.631)	Data 0.002 (0.015)	Loss 4.7462 (4.9034)	Top-1 acc 13.672 (13.002)	Top-5 acc 36.328 (31.096)	lr 0.03495
Warmup Train [15][1690/2134]	Time 0.638 (0.631)	Data 0.002 (0.015)	Loss 4.7658 (4.9034)	Top-1 acc 14.844 (13.003)	Top-5 acc 32.422 (31.102)	lr 0.03494
Warmup Train [15][1700/2134]	Time 0.505 (0.631)	Data 0.002 (0.015)	Loss 4.8872 (4.9031)	Top-1 acc 14.453 (13.004)	Top-5 acc 34.766 (31.109)	lr 0.03494
Warmup Train [15][1710/2134]	Time 0.537 (0.631)	Data 0.002 (0.015)	Loss 4.8615 (4.9029)	Top-1 acc 12.500 (13.008)	Top-5 acc 32.812 (31.115)	lr 0.03493
Warmup Train [15][1720/2134]	Time 0.590 (0.631)	Data 0.002 (0.015)	Loss 4.8862 (4.9024)	Top-1 acc 10.938 (13.017)	Top-5 acc 28.906 (31.129)	lr 0.03492
Warmup Train [15][1730/2134]	Time 0.617 (0.631)	Data 0.002 (0.015)	Loss 5.0360 (4.9020)	Top-1 acc 14.062 (13.024)	Top-5 acc 30.859 (31.143)	lr 0.03491
Warmup Train [15][1740/2134]	Time 0.572 (0.631)	Data 0.002 (0.014)	Loss 4.7465 (4.9017)	Top-1 acc 17.578 (13.025)	Top-5 acc 36.719 (31.152)	lr 0.03490
Warmup Train [15][1750/2134]	Time 0.593 (0.631)	Data 0.002 (0.015)	Loss 4.9221 (4.9016)	Top-1 acc 15.234 (13.028)	Top-5 acc 31.641 (31.158)	lr 0.03489
Warmup Train [15][1760/2134]	Time 0.579 (0.631)	Data 0.003 (0.014)	Loss 4.9892 (4.9015)	Top-1 acc 11.719 (13.026)	Top-5 acc 28.125 (31.164)	lr 0.03488
Warmup Train [15][1770/2134]	Time 0.606 (0.631)	Data 0.002 (0.014)	Loss 4.8377 (4.9013)	Top-1 acc 12.500 (13.023)	Top-5 acc 33.984 (31.169)	lr 0.03488
Warmup Train [15][1780/2134]	Time 0.739 (0.631)	Data 0.002 (0.014)	Loss 4.9170 (4.9013)	Top-1 acc 14.453 (13.024)	Top-5 acc 31.250 (31.166)	lr 0.03487
Warmup Train [15][1790/2134]	Time 0.492 (0.631)	Data 0.002 (0.014)	Loss 4.8143 (4.9009)	Top-1 acc 11.328 (13.027)	Top-5 acc 31.641 (31.169)	lr 0.03486
Warmup Train [15][1800/2134]	Time 0.687 (0.631)	Data 0.002 (0.014)	Loss 4.6784 (4.9007)	Top-1 acc 13.281 (13.025)	Top-5 acc 38.281 (31.175)	lr 0.03485
Warmup Train [15][1810/2134]	Time 0.490 (0.631)	Data 0.002 (0.014)	Loss 4.8703 (4.9007)	Top-1 acc 14.062 (13.022)	Top-5 acc 26.953 (31.171)	lr 0.03484
Warmup Train [15][1820/2134]	Time 0.448 (0.630)	Data 0.002 (0.014)	Loss 4.7923 (4.9005)	Top-1 acc 16.406 (13.029)	Top-5 acc 36.719 (31.179)	lr 0.03483
Warmup Train [15][1830/2134]	Time 0.599 (0.630)	Data 0.002 (0.014)	Loss 4.8783 (4.9000)	Top-1 acc 15.234 (13.038)	Top-5 acc 30.078 (31.193)	lr 0.03483
Warmup Train [15][1840/2134]	Time 0.689 (0.630)	Data 0.003 (0.014)	Loss 4.6374 (4.9001)	Top-1 acc 14.844 (13.039)	Top-5 acc 33.594 (31.193)	lr 0.03482
Warmup Train [15][1850/2134]	Time 0.678 (0.630)	Data 0.002 (0.014)	Loss 4.9036 (4.9002)	Top-1 acc 14.844 (13.031)	Top-5 acc 31.641 (31.183)	lr 0.03481
Warmup Train [15][1860/2134]	Time 0.585 (0.630)	Data 0.002 (0.014)	Loss 4.6760 (4.9000)	Top-1 acc 17.969 (13.030)	Top-5 acc 33.203 (31.179)	lr 0.03480
Warmup Train [15][1870/2134]	Time 0.620 (0.630)	Data 0.002 (0.014)	Loss 4.8334 (4.8995)	Top-1 acc 12.500 (13.038)	Top-5 acc 29.688 (31.190)	lr 0.03479
Warmup Train [15][1880/2134]	Time 0.621 (0.630)	Data 0.002 (0.014)	Loss 4.8485 (4.8992)	Top-1 acc 13.281 (13.041)	Top-5 acc 33.594 (31.196)	lr 0.03478
Warmup Train [15][1890/2134]	Time 0.646 (0.631)	Data 0.002 (0.014)	Loss 4.8540 (4.8992)	Top-1 acc 12.891 (13.042)	Top-5 acc 36.328 (31.197)	lr 0.03477
Warmup Train [15][1900/2134]	Time 0.637 (0.630)	Data 0.002 (0.014)	Loss 4.7489 (4.8991)	Top-1 acc 17.969 (13.047)	Top-5 acc 33.984 (31.206)	lr 0.03477
Warmup Train [15][1910/2134]	Time 0.854 (0.631)	Data 0.002 (0.014)	Loss 4.8523 (4.8991)	Top-1 acc 15.234 (13.051)	Top-5 acc 31.250 (31.204)	lr 0.03476
Warmup Train [15][1920/2134]	Time 0.477 (0.630)	Data 0.003 (0.014)	Loss 4.8010 (4.8990)	Top-1 acc 16.406 (13.053)	Top-5 acc 33.984 (31.208)	lr 0.03475
Warmup Train [15][1930/2134]	Time 0.817 (0.630)	Data 0.005 (0.014)	Loss 4.9005 (4.8989)	Top-1 acc 16.797 (13.055)	Top-5 acc 32.422 (31.214)	lr 0.03474
Warmup Train [15][1940/2134]	Time 0.643 (0.630)	Data 0.002 (0.014)	Loss 4.8972 (4.8988)	Top-1 acc 14.453 (13.056)	Top-5 acc 31.250 (31.222)	lr 0.03473
Warmup Train [15][1950/2134]	Time 0.743 (0.630)	Data 0.002 (0.014)	Loss 4.7636 (4.8986)	Top-1 acc 12.891 (13.055)	Top-5 acc 31.250 (31.225)	lr 0.03472
Warmup Train [15][1960/2134]	Time 0.531 (0.630)	Data 0.002 (0.014)	Loss 4.9101 (4.8987)	Top-1 acc 12.891 (13.061)	Top-5 acc 30.469 (31.224)	lr 0.03472
Warmup Train [15][1970/2134]	Time 0.676 (0.630)	Data 0.002 (0.014)	Loss 4.7205 (4.8986)	Top-1 acc 16.797 (13.065)	Top-5 acc 32.031 (31.225)	lr 0.03471
Warmup Train [15][1980/2134]	Time 0.521 (0.630)	Data 0.002 (0.014)	Loss 4.7182 (4.8983)	Top-1 acc 14.844 (13.067)	Top-5 acc 33.203 (31.235)	lr 0.03470
Warmup Train [15][1990/2134]	Time 0.706 (0.630)	Data 0.002 (0.014)	Loss 4.7919 (4.8982)	Top-1 acc 16.797 (13.072)	Top-5 acc 32.031 (31.231)	lr 0.03469
Warmup Train [15][2000/2134]	Time 0.517 (0.629)	Data 0.004 (0.014)	Loss 4.9770 (4.8985)	Top-1 acc 10.156 (13.066)	Top-5 acc 26.562 (31.223)	lr 0.03468
Warmup Train [15][2010/2134]	Time 0.495 (0.629)	Data 0.002 (0.014)	Loss 4.8349 (4.8982)	Top-1 acc 18.359 (13.072)	Top-5 acc 32.812 (31.227)	lr 0.03467
Warmup Train [15][2020/2134]	Time 0.433 (0.629)	Data 0.002 (0.014)	Loss 4.9826 (4.8982)	Top-1 acc 10.547 (13.071)	Top-5 acc 26.953 (31.227)	lr 0.03466
Warmup Train [15][2030/2134]	Time 0.438 (0.629)	Data 0.002 (0.014)	Loss 4.9251 (4.8981)	Top-1 acc 10.938 (13.072)	Top-5 acc 29.297 (31.228)	lr 0.03466
Warmup Train [15][2040/2134]	Time 0.654 (0.630)	Data 0.002 (0.014)	Loss 4.7603 (4.8980)	Top-1 acc 18.359 (13.075)	Top-5 acc 37.109 (31.231)	lr 0.03465
Warmup Train [15][2050/2134]	Time 0.529 (0.629)	Data 0.003 (0.014)	Loss 4.7154 (4.8978)	Top-1 acc 14.062 (13.077)	Top-5 acc 34.375 (31.234)	lr 0.03464
Warmup Train [15][2060/2134]	Time 0.648 (0.629)	Data 0.002 (0.014)	Loss 4.8716 (4.8977)	Top-1 acc 8.594 (13.079)	Top-5 acc 31.250 (31.237)	lr 0.03463
Warmup Train [15][2070/2134]	Time 0.573 (0.629)	Data 0.002 (0.014)	Loss 4.8551 (4.8973)	Top-1 acc 11.719 (13.087)	Top-5 acc 32.422 (31.246)	lr 0.03462
Warmup Train [15][2080/2134]	Time 0.594 (0.629)	Data 0.000 (0.014)	Loss 5.0486 (4.8974)	Top-1 acc 11.719 (13.080)	Top-5 acc 30.078 (31.241)	lr 0.03461
Warmup Train [15][2090/2134]	Time 0.653 (0.629)	Data 0.000 (0.013)	Loss 4.9425 (4.8976)	Top-1 acc 8.203 (13.081)	Top-5 acc 30.859 (31.243)	lr 0.03461
Warmup Train [15][2100/2134]	Time 0.587 (0.629)	Data 0.000 (0.013)	Loss 4.8895 (4.8972)	Top-1 acc 14.844 (13.085)	Top-5 acc 33.594 (31.253)	lr 0.03460
Warmup Train [15][2110/2134]	Time 0.797 (0.629)	Data 0.000 (0.013)	Loss 4.9232 (4.8970)	Top-1 acc 12.891 (13.088)	Top-5 acc 30.078 (31.258)	lr 0.03459
Warmup Train [15][2120/2134]	Time 0.640 (0.629)	Data 0.000 (0.013)	Loss 4.7637 (4.8967)	Top-1 acc 14.062 (13.088)	Top-5 acc 34.766 (31.262)	lr 0.03458
Warmup Train [15][2130/2134]	Time 0.623 (0.628)	Data 0.000 (0.013)	Loss 4.8623 (4.8962)	Top-1 acc 14.062 (13.098)	Top-5 acc 32.812 (31.274)	lr 0.03457
Warmup Train [15][2134/2134]	Time 0.399 (0.628)	Data 0.000 (0.013)	Loss 4.9266 (4.8962)	Top-1 acc 12.834 (13.098)	Top-5 acc 29.947 (31.276)	lr 0.03457
==========Warmup Valid [15/40]	loss 4.066	top-1 acc 18.694	top-5 acc 40.342	Train top-1 13.098	top-5 31.276	flops: 442.4M
Warmup Train [16][0/2134]	Time 11.355 (11.355)	Data 8.712 (8.712)	Loss 4.9042 (4.9042)	Top-1 acc 16.406 (16.406)	Top-5 acc 32.812 (32.812)	lr 0.03457
Warmup Train [16][10/2134]	Time 0.772 (1.776)	Data 0.005 (0.821)	Loss 4.7964 (4.8667)	Top-1 acc 10.156 (13.246)	Top-5 acc 32.812 (31.392)	lr 0.03456
Warmup Train [16][20/2134]	Time 2.120 (1.315)	Data 0.003 (0.435)	Loss 4.9359 (4.8527)	Top-1 acc 14.062 (13.690)	Top-5 acc 32.422 (31.641)	lr 0.03455
Warmup Train [16][30/2134]	Time 0.769 (1.094)	Data 0.002 (0.295)	Loss 4.7692 (4.8383)	Top-1 acc 15.625 (13.773)	Top-5 acc 38.672 (32.283)	lr 0.03454
Warmup Train [16][40/2134]	Time 0.629 (0.980)	Data 0.002 (0.224)	Loss 4.8891 (4.8484)	Top-1 acc 12.500 (13.643)	Top-5 acc 32.422 (32.288)	lr 0.03453
Warmup Train [16][50/2134]	Time 0.652 (0.908)	Data 0.002 (0.181)	Loss 4.8225 (4.8585)	Top-1 acc 14.453 (13.542)	Top-5 acc 33.203 (32.307)	lr 0.03452
Warmup Train [16][60/2134]	Time 0.711 (0.862)	Data 0.002 (0.152)	Loss 4.6659 (4.8587)	Top-1 acc 17.188 (13.531)	Top-5 acc 36.719 (32.217)	lr 0.03452
Warmup Train [16][70/2134]	Time 0.528 (0.829)	Data 0.003 (0.131)	Loss 4.8990 (4.8594)	Top-1 acc 12.500 (13.534)	Top-5 acc 32.422 (32.306)	lr 0.03451
Warmup Train [16][80/2134]	Time 0.639 (0.803)	Data 0.002 (0.116)	Loss 4.9260 (4.8588)	Top-1 acc 13.672 (13.537)	Top-5 acc 31.641 (32.398)	lr 0.03450
Warmup Train [16][90/2134]	Time 0.687 (0.787)	Data 0.002 (0.104)	Loss 4.7402 (4.8574)	Top-1 acc 13.281 (13.431)	Top-5 acc 32.422 (32.250)	lr 0.03449
Warmup Train [16][100/2134]	Time 0.499 (0.770)	Data 0.002 (0.094)	Loss 4.9771 (4.8554)	Top-1 acc 12.891 (13.544)	Top-5 acc 26.953 (32.290)	lr 0.03448
Warmup Train [16][110/2134]	Time 0.664 (0.757)	Data 0.002 (0.086)	Loss 4.8753 (4.8558)	Top-1 acc 16.016 (13.528)	Top-5 acc 33.984 (32.344)	lr 0.03447
Warmup Train [16][120/2134]	Time 0.712 (0.745)	Data 0.003 (0.079)	Loss 4.8850 (4.8608)	Top-1 acc 15.234 (13.494)	Top-5 acc 32.031 (32.299)	lr 0.03447
Warmup Train [16][130/2134]	Time 0.397 (0.734)	Data 0.002 (0.074)	Loss 4.9669 (4.8609)	Top-1 acc 17.188 (13.520)	Top-5 acc 29.688 (32.279)	lr 0.03446
Warmup Train [16][140/2134]	Time 0.605 (0.726)	Data 0.002 (0.070)	Loss 4.9426 (4.8602)	Top-1 acc 11.719 (13.420)	Top-5 acc 31.641 (32.211)	lr 0.03445
Warmup Train [16][150/2134]	Time 0.585 (0.719)	Data 0.002 (0.066)	Loss 5.0370 (4.8619)	Top-1 acc 10.938 (13.416)	Top-5 acc 23.828 (32.199)	lr 0.03444
Warmup Train [16][160/2134]	Time 0.743 (0.714)	Data 0.002 (0.062)	Loss 4.7414 (4.8609)	Top-1 acc 15.234 (13.427)	Top-5 acc 33.984 (32.201)	lr 0.03443
Warmup Train [16][170/2134]	Time 0.538 (0.716)	Data 0.002 (0.059)	Loss 4.7328 (4.8606)	Top-1 acc 17.578 (13.469)	Top-5 acc 36.719 (32.189)	lr 0.03442
Warmup Train [16][180/2134]	Time 0.650 (0.711)	Data 0.002 (0.056)	Loss 4.7957 (4.8612)	Top-1 acc 14.453 (13.495)	Top-5 acc 33.984 (32.208)	lr 0.03441
Warmup Train [16][190/2134]	Time 0.614 (0.706)	Data 0.002 (0.053)	Loss 4.9697 (4.8604)	Top-1 acc 8.984 (13.465)	Top-5 acc 28.516 (32.242)	lr 0.03441
Warmup Train [16][200/2134]	Time 0.613 (0.701)	Data 0.002 (0.051)	Loss 4.7628 (4.8600)	Top-1 acc 13.281 (13.452)	Top-5 acc 33.594 (32.187)	lr 0.03440
Warmup Train [16][210/2134]	Time 0.606 (0.695)	Data 0.002 (0.049)	Loss 4.9132 (4.8587)	Top-1 acc 12.500 (13.507)	Top-5 acc 32.812 (32.248)	lr 0.03439
Warmup Train [16][220/2134]	Time 0.532 (0.692)	Data 0.002 (0.047)	Loss 4.8550 (4.8586)	Top-1 acc 14.844 (13.470)	Top-5 acc 32.031 (32.254)	lr 0.03438
Warmup Train [16][230/2134]	Time 0.747 (0.690)	Data 0.004 (0.046)	Loss 4.7817 (4.8582)	Top-1 acc 14.453 (13.460)	Top-5 acc 36.719 (32.234)	lr 0.03437
Warmup Train [16][240/2134]	Time 0.685 (0.686)	Data 0.003 (0.044)	Loss 4.9711 (4.8580)	Top-1 acc 11.328 (13.484)	Top-5 acc 29.297 (32.281)	lr 0.03436
Warmup Train [16][250/2134]	Time 0.715 (0.683)	Data 0.003 (0.042)	Loss 4.8729 (4.8590)	Top-1 acc 10.547 (13.513)	Top-5 acc 26.172 (32.252)	lr 0.03435
Warmup Train [16][260/2134]	Time 0.527 (0.680)	Data 0.003 (0.041)	Loss 4.8722 (4.8588)	Top-1 acc 13.672 (13.507)	Top-5 acc 33.203 (32.260)	lr 0.03435
Warmup Train [16][270/2134]	Time 0.575 (0.677)	Data 0.003 (0.040)	Loss 4.9785 (4.8596)	Top-1 acc 14.062 (13.526)	Top-5 acc 31.641 (32.242)	lr 0.03434
Warmup Train [16][280/2134]	Time 0.698 (0.675)	Data 0.002 (0.039)	Loss 4.7269 (4.8600)	Top-1 acc 17.969 (13.534)	Top-5 acc 36.328 (32.219)	lr 0.03433
Warmup Train [16][290/2134]	Time 0.699 (0.672)	Data 0.002 (0.038)	Loss 4.8588 (4.8603)	Top-1 acc 14.453 (13.530)	Top-5 acc 32.031 (32.215)	lr 0.03432
Warmup Train [16][300/2134]	Time 0.729 (0.671)	Data 0.002 (0.037)	Loss 4.8090 (4.8601)	Top-1 acc 17.188 (13.540)	Top-5 acc 33.984 (32.213)	lr 0.03431
Warmup Train [16][310/2134]	Time 2.191 (0.674)	Data 0.002 (0.036)	Loss 5.0133 (4.8609)	Top-1 acc 12.109 (13.530)	Top-5 acc 32.031 (32.171)	lr 0.03430
Warmup Train [16][320/2134]	Time 0.572 (0.672)	Data 0.002 (0.035)	Loss 5.0104 (4.8605)	Top-1 acc 10.938 (13.549)	Top-5 acc 29.688 (32.157)	lr 0.03429
Warmup Train [16][330/2134]	Time 0.673 (0.670)	Data 0.002 (0.034)	Loss 4.8113 (4.8609)	Top-1 acc 16.016 (13.522)	Top-5 acc 35.547 (32.141)	lr 0.03429
Warmup Train [16][340/2134]	Time 0.603 (0.668)	Data 0.002 (0.033)	Loss 4.8246 (4.8599)	Top-1 acc 14.844 (13.554)	Top-5 acc 33.984 (32.172)	lr 0.03428
Warmup Train [16][350/2134]	Time 0.560 (0.667)	Data 0.002 (0.032)	Loss 4.8416 (4.8601)	Top-1 acc 15.625 (13.577)	Top-5 acc 31.250 (32.169)	lr 0.03427
Warmup Train [16][360/2134]	Time 0.612 (0.665)	Data 0.002 (0.032)	Loss 4.8500 (4.8592)	Top-1 acc 13.672 (13.608)	Top-5 acc 30.078 (32.196)	lr 0.03426
Warmup Train [16][370/2134]	Time 0.627 (0.664)	Data 0.003 (0.031)	Loss 4.8262 (4.8580)	Top-1 acc 11.328 (13.624)	Top-5 acc 35.547 (32.230)	lr 0.03425
Warmup Train [16][380/2134]	Time 0.543 (0.663)	Data 0.002 (0.030)	Loss 4.7487 (4.8571)	Top-1 acc 14.453 (13.619)	Top-5 acc 35.547 (32.219)	lr 0.03424
Warmup Train [16][390/2134]	Time 0.660 (0.661)	Data 0.003 (0.030)	Loss 4.9050 (4.8575)	Top-1 acc 11.328 (13.615)	Top-5 acc 30.859 (32.209)	lr 0.03423
Warmup Train [16][400/2134]	Time 0.677 (0.660)	Data 0.002 (0.029)	Loss 4.8894 (4.8574)	Top-1 acc 16.406 (13.631)	Top-5 acc 32.031 (32.229)	lr 0.03423
Warmup Train [16][410/2134]	Time 0.604 (0.658)	Data 0.002 (0.028)	Loss 4.8113 (4.8583)	Top-1 acc 16.406 (13.640)	Top-5 acc 32.422 (32.227)	lr 0.03422
Warmup Train [16][420/2134]	Time 0.627 (0.657)	Data 0.002 (0.028)	Loss 4.7150 (4.8569)	Top-1 acc 14.453 (13.687)	Top-5 acc 33.984 (32.260)	lr 0.03421
Warmup Train [16][430/2134]	Time 0.454 (0.656)	Data 0.002 (0.028)	Loss 4.8846 (4.8573)	Top-1 acc 13.672 (13.677)	Top-5 acc 37.109 (32.252)	lr 0.03420
Warmup Train [16][440/2134]	Time 0.510 (0.655)	Data 0.002 (0.027)	Loss 4.8995 (4.8580)	Top-1 acc 16.797 (13.677)	Top-5 acc 31.641 (32.233)	lr 0.03419
Warmup Train [16][450/2134]	Time 0.550 (0.654)	Data 0.002 (0.027)	Loss 4.6438 (4.8564)	Top-1 acc 17.188 (13.713)	Top-5 acc 37.891 (32.281)	lr 0.03418
Warmup Train [16][460/2134]	Time 0.568 (0.653)	Data 0.003 (0.027)	Loss 4.8491 (4.8555)	Top-1 acc 13.281 (13.721)	Top-5 acc 33.594 (32.298)	lr 0.03417
Warmup Train [16][470/2134]	Time 0.499 (0.655)	Data 0.002 (0.026)	Loss 4.8930 (4.8557)	Top-1 acc 11.328 (13.717)	Top-5 acc 28.906 (32.293)	lr 0.03417
Warmup Train [16][480/2134]	Time 0.652 (0.655)	Data 0.002 (0.026)	Loss 4.8648 (4.8552)	Top-1 acc 14.453 (13.704)	Top-5 acc 33.203 (32.302)	lr 0.03416
Warmup Train [16][490/2134]	Time 0.685 (0.654)	Data 0.002 (0.025)	Loss 4.8206 (4.8554)	Top-1 acc 14.844 (13.698)	Top-5 acc 32.031 (32.286)	lr 0.03415
Warmup Train [16][500/2134]	Time 0.710 (0.653)	Data 0.002 (0.025)	Loss 4.7783 (4.8555)	Top-1 acc 12.500 (13.705)	Top-5 acc 34.375 (32.295)	lr 0.03414
Warmup Train [16][510/2134]	Time 0.550 (0.652)	Data 0.002 (0.025)	Loss 4.8658 (4.8559)	Top-1 acc 10.938 (13.673)	Top-5 acc 33.594 (32.279)	lr 0.03413
Warmup Train [16][520/2134]	Time 0.606 (0.651)	Data 0.002 (0.024)	Loss 4.6751 (4.8568)	Top-1 acc 19.141 (13.657)	Top-5 acc 38.281 (32.267)	lr 0.03412
Warmup Train [16][530/2134]	Time 0.632 (0.650)	Data 0.002 (0.024)	Loss 4.8559 (4.8563)	Top-1 acc 14.453 (13.652)	Top-5 acc 31.641 (32.283)	lr 0.03411
Warmup Train [16][540/2134]	Time 0.622 (0.650)	Data 0.002 (0.024)	Loss 4.9916 (4.8558)	Top-1 acc 11.328 (13.660)	Top-5 acc 31.641 (32.317)	lr 0.03411
Warmup Train [16][550/2134]	Time 0.519 (0.649)	Data 0.002 (0.023)	Loss 4.8563 (4.8559)	Top-1 acc 13.281 (13.665)	Top-5 acc 33.203 (32.337)	lr 0.03410
Warmup Train [16][560/2134]	Time 0.611 (0.648)	Data 0.002 (0.023)	Loss 4.8931 (4.8560)	Top-1 acc 11.719 (13.644)	Top-5 acc 30.078 (32.333)	lr 0.03409
Warmup Train [16][570/2134]	Time 0.490 (0.647)	Data 0.002 (0.023)	Loss 4.7512 (4.8559)	Top-1 acc 16.406 (13.651)	Top-5 acc 37.891 (32.348)	lr 0.03408
Warmup Train [16][580/2134]	Time 0.658 (0.647)	Data 0.003 (0.023)	Loss 4.8128 (4.8550)	Top-1 acc 14.844 (13.671)	Top-5 acc 34.375 (32.352)	lr 0.03407
Warmup Train [16][590/2134]	Time 0.695 (0.646)	Data 0.002 (0.023)	Loss 4.8753 (4.8553)	Top-1 acc 11.328 (13.666)	Top-5 acc 29.297 (32.350)	lr 0.03406
Warmup Train [16][600/2134]	Time 0.633 (0.646)	Data 0.002 (0.022)	Loss 4.8618 (4.8560)	Top-1 acc 13.672 (13.663)	Top-5 acc 33.203 (32.324)	lr 0.03405
Warmup Train [16][610/2134]	Time 2.040 (0.647)	Data 0.002 (0.022)	Loss 4.7834 (4.8553)	Top-1 acc 14.062 (13.676)	Top-5 acc 33.203 (32.346)	lr 0.03405
Warmup Train [16][620/2134]	Time 0.593 (0.647)	Data 0.002 (0.022)	Loss 4.9048 (4.8551)	Top-1 acc 12.891 (13.681)	Top-5 acc 32.812 (32.360)	lr 0.03404
Warmup Train [16][630/2134]	Time 0.507 (0.646)	Data 0.002 (0.022)	Loss 4.8217 (4.8546)	Top-1 acc 12.500 (13.685)	Top-5 acc 33.984 (32.372)	lr 0.03403
Warmup Train [16][640/2134]	Time 0.624 (0.646)	Data 0.002 (0.021)	Loss 4.8336 (4.8545)	Top-1 acc 11.328 (13.686)	Top-5 acc 32.812 (32.383)	lr 0.03402
Warmup Train [16][650/2134]	Time 0.588 (0.645)	Data 0.003 (0.021)	Loss 4.9165 (4.8553)	Top-1 acc 13.281 (13.666)	Top-5 acc 31.250 (32.346)	lr 0.03401
Warmup Train [16][660/2134]	Time 0.530 (0.644)	Data 0.002 (0.021)	Loss 4.7518 (4.8554)	Top-1 acc 15.625 (13.679)	Top-5 acc 30.859 (32.329)	lr 0.03400
Warmup Train [16][670/2134]	Time 0.611 (0.644)	Data 0.002 (0.021)	Loss 5.0150 (4.8562)	Top-1 acc 13.672 (13.672)	Top-5 acc 28.516 (32.314)	lr 0.03399
Warmup Train [16][680/2134]	Time 0.444 (0.643)	Data 0.002 (0.021)	Loss 4.8951 (4.8557)	Top-1 acc 17.578 (13.664)	Top-5 acc 34.766 (32.318)	lr 0.03399
Warmup Train [16][690/2134]	Time 0.568 (0.643)	Data 0.002 (0.020)	Loss 4.7991 (4.8554)	Top-1 acc 17.188 (13.657)	Top-5 acc 33.984 (32.321)	lr 0.03398
Warmup Train [16][700/2134]	Time 0.577 (0.642)	Data 0.002 (0.020)	Loss 4.7985 (4.8554)	Top-1 acc 16.797 (13.662)	Top-5 acc 32.422 (32.322)	lr 0.03397
Warmup Train [16][710/2134]	Time 0.748 (0.642)	Data 0.002 (0.020)	Loss 4.8748 (4.8559)	Top-1 acc 12.891 (13.656)	Top-5 acc 33.984 (32.324)	lr 0.03396
Warmup Train [16][720/2134]	Time 0.559 (0.642)	Data 0.003 (0.020)	Loss 4.7123 (4.8549)	Top-1 acc 15.234 (13.674)	Top-5 acc 35.547 (32.355)	lr 0.03395
Warmup Train [16][730/2134]	Time 0.461 (0.641)	Data 0.004 (0.020)	Loss 4.8812 (4.8543)	Top-1 acc 14.844 (13.682)	Top-5 acc 28.906 (32.366)	lr 0.03394
Warmup Train [16][740/2134]	Time 0.535 (0.641)	Data 0.002 (0.020)	Loss 4.8922 (4.8538)	Top-1 acc 12.500 (13.691)	Top-5 acc 30.078 (32.374)	lr 0.03393
Warmup Train [16][750/2134]	Time 0.613 (0.640)	Data 0.002 (0.020)	Loss 4.9724 (4.8537)	Top-1 acc 11.328 (13.686)	Top-5 acc 31.641 (32.375)	lr 0.03393
Warmup Train [16][760/2134]	Time 0.490 (0.640)	Data 0.002 (0.020)	Loss 4.8233 (4.8537)	Top-1 acc 16.016 (13.694)	Top-5 acc 32.422 (32.382)	lr 0.03392
Warmup Train [16][770/2134]	Time 0.560 (0.642)	Data 0.002 (0.020)	Loss 4.8499 (4.8543)	Top-1 acc 12.109 (13.683)	Top-5 acc 31.641 (32.371)	lr 0.03391
Warmup Train [16][780/2134]	Time 0.614 (0.641)	Data 0.002 (0.019)	Loss 4.8562 (4.8545)	Top-1 acc 15.234 (13.682)	Top-5 acc 32.422 (32.371)	lr 0.03390
Warmup Train [16][790/2134]	Time 0.492 (0.641)	Data 0.002 (0.019)	Loss 4.8381 (4.8541)	Top-1 acc 12.109 (13.689)	Top-5 acc 34.766 (32.384)	lr 0.03389
Warmup Train [16][800/2134]	Time 0.510 (0.640)	Data 0.002 (0.019)	Loss 4.7852 (4.8534)	Top-1 acc 14.062 (13.704)	Top-5 acc 36.328 (32.395)	lr 0.03388
Warmup Train [16][810/2134]	Time 0.559 (0.640)	Data 0.002 (0.019)	Loss 4.6515 (4.8527)	Top-1 acc 19.531 (13.720)	Top-5 acc 39.844 (32.421)	lr 0.03387
Warmup Train [16][820/2134]	Time 0.476 (0.639)	Data 0.002 (0.019)	Loss 4.8166 (4.8532)	Top-1 acc 14.453 (13.712)	Top-5 acc 32.422 (32.411)	lr 0.03387
Warmup Train [16][830/2134]	Time 0.677 (0.639)	Data 0.002 (0.019)	Loss 4.7317 (4.8526)	Top-1 acc 15.625 (13.710)	Top-5 acc 30.859 (32.421)	lr 0.03386
Warmup Train [16][840/2134]	Time 0.615 (0.639)	Data 0.002 (0.019)	Loss 4.8243 (4.8527)	Top-1 acc 13.672 (13.706)	Top-5 acc 33.203 (32.418)	lr 0.03385
Warmup Train [16][850/2134]	Time 0.545 (0.638)	Data 0.002 (0.019)	Loss 4.9597 (4.8525)	Top-1 acc 15.234 (13.709)	Top-5 acc 30.078 (32.417)	lr 0.03384
Warmup Train [16][860/2134]	Time 0.673 (0.638)	Data 0.002 (0.019)	Loss 4.8118 (4.8519)	Top-1 acc 15.625 (13.721)	Top-5 acc 33.984 (32.432)	lr 0.03383
Warmup Train [16][870/2134]	Time 0.511 (0.637)	Data 0.002 (0.018)	Loss 4.8527 (4.8524)	Top-1 acc 13.672 (13.710)	Top-5 acc 38.281 (32.424)	lr 0.03382
Warmup Train [16][880/2134]	Time 0.741 (0.637)	Data 0.002 (0.018)	Loss 4.7070 (4.8516)	Top-1 acc 15.625 (13.726)	Top-5 acc 39.844 (32.458)	lr 0.03381
Warmup Train [16][890/2134]	Time 0.625 (0.637)	Data 0.002 (0.018)	Loss 4.9342 (4.8517)	Top-1 acc 14.453 (13.721)	Top-5 acc 32.031 (32.460)	lr 0.03381
Warmup Train [16][900/2134]	Time 0.722 (0.636)	Data 0.002 (0.018)	Loss 4.8905 (4.8515)	Top-1 acc 16.797 (13.733)	Top-5 acc 32.422 (32.466)	lr 0.03380
Warmup Train [16][910/2134]	Time 0.593 (0.636)	Data 0.002 (0.018)	Loss 4.8799 (4.8513)	Top-1 acc 14.062 (13.733)	Top-5 acc 32.422 (32.479)	lr 0.03379
Warmup Train [16][920/2134]	Time 0.617 (0.637)	Data 0.002 (0.018)	Loss 4.8875 (4.8508)	Top-1 acc 12.891 (13.734)	Top-5 acc 28.125 (32.483)	lr 0.03378
Warmup Train [16][930/2134]	Time 0.613 (0.637)	Data 0.003 (0.018)	Loss 4.8436 (4.8503)	Top-1 acc 14.453 (13.739)	Top-5 acc 33.203 (32.499)	lr 0.03377
Warmup Train [16][940/2134]	Time 0.575 (0.637)	Data 0.002 (0.017)	Loss 4.8326 (4.8499)	Top-1 acc 16.016 (13.754)	Top-5 acc 32.031 (32.499)	lr 0.03376
Warmup Train [16][950/2134]	Time 0.620 (0.637)	Data 0.004 (0.017)	Loss 5.0011 (4.8498)	Top-1 acc 14.453 (13.773)	Top-5 acc 32.031 (32.499)	lr 0.03375
Warmup Train [16][960/2134]	Time 0.621 (0.637)	Data 0.003 (0.017)	Loss 4.7988 (4.8497)	Top-1 acc 12.891 (13.767)	Top-5 acc 31.250 (32.502)	lr 0.03375
Warmup Train [16][970/2134]	Time 0.682 (0.636)	Data 0.002 (0.017)	Loss 4.6969 (4.8502)	Top-1 acc 13.672 (13.756)	Top-5 acc 38.281 (32.492)	lr 0.03374
Warmup Train [16][980/2134]	Time 0.526 (0.636)	Data 0.002 (0.017)	Loss 4.8878 (4.8496)	Top-1 acc 11.719 (13.771)	Top-5 acc 28.906 (32.513)	lr 0.03373
Warmup Train [16][990/2134]	Time 0.589 (0.636)	Data 0.002 (0.017)	Loss 4.9711 (4.8497)	Top-1 acc 12.891 (13.768)	Top-5 acc 31.641 (32.505)	lr 0.03372
Warmup Train [16][1000/2134]	Time 0.551 (0.636)	Data 0.002 (0.017)	Loss 4.8568 (4.8498)	Top-1 acc 16.016 (13.767)	Top-5 acc 33.984 (32.501)	lr 0.03371
Warmup Train [16][1010/2134]	Time 0.526 (0.636)	Data 0.002 (0.017)	Loss 4.7242 (4.8500)	Top-1 acc 14.062 (13.760)	Top-5 acc 38.672 (32.508)	lr 0.03370
Warmup Train [16][1020/2134]	Time 0.635 (0.635)	Data 0.002 (0.017)	Loss 4.8137 (4.8501)	Top-1 acc 16.406 (13.761)	Top-5 acc 34.375 (32.503)	lr 0.03369
Warmup Train [16][1030/2134]	Time 0.582 (0.635)	Data 0.003 (0.017)	Loss 4.8730 (4.8500)	Top-1 acc 12.500 (13.765)	Top-5 acc 34.375 (32.509)	lr 0.03369
Warmup Train [16][1040/2134]	Time 0.717 (0.635)	Data 0.002 (0.017)	Loss 4.8388 (4.8496)	Top-1 acc 17.188 (13.777)	Top-5 acc 33.984 (32.529)	lr 0.03368
Warmup Train [16][1050/2134]	Time 0.551 (0.634)	Data 0.002 (0.017)	Loss 4.7731 (4.8494)	Top-1 acc 14.453 (13.783)	Top-5 acc 34.766 (32.535)	lr 0.03367
Warmup Train [16][1060/2134]	Time 0.604 (0.634)	Data 0.002 (0.016)	Loss 4.7119 (4.8489)	Top-1 acc 14.844 (13.797)	Top-5 acc 35.938 (32.541)	lr 0.03366
Warmup Train [16][1070/2134]	Time 0.667 (0.635)	Data 0.003 (0.016)	Loss 4.9260 (4.8488)	Top-1 acc 10.938 (13.798)	Top-5 acc 30.469 (32.545)	lr 0.03365
Warmup Train [16][1080/2134]	Time 0.428 (0.635)	Data 0.002 (0.016)	Loss 4.8964 (4.8488)	Top-1 acc 14.062 (13.799)	Top-5 acc 30.469 (32.542)	lr 0.03364
Warmup Train [16][1090/2134]	Time 0.617 (0.635)	Data 0.002 (0.016)	Loss 4.8055 (4.8485)	Top-1 acc 14.453 (13.798)	Top-5 acc 35.938 (32.549)	lr 0.03363
Warmup Train [16][1100/2134]	Time 0.726 (0.635)	Data 0.002 (0.016)	Loss 4.9201 (4.8485)	Top-1 acc 16.016 (13.798)	Top-5 acc 32.031 (32.547)	lr 0.03362
Warmup Train [16][1110/2134]	Time 0.506 (0.635)	Data 0.002 (0.016)	Loss 4.7204 (4.8479)	Top-1 acc 14.453 (13.799)	Top-5 acc 36.719 (32.553)	lr 0.03362
Warmup Train [16][1120/2134]	Time 0.465 (0.634)	Data 0.002 (0.016)	Loss 5.0135 (4.8477)	Top-1 acc 9.766 (13.802)	Top-5 acc 28.125 (32.561)	lr 0.03361
Warmup Train [16][1130/2134]	Time 0.525 (0.634)	Data 0.002 (0.016)	Loss 5.0009 (4.8479)	Top-1 acc 8.984 (13.804)	Top-5 acc 30.469 (32.553)	lr 0.03360
Warmup Train [16][1140/2134]	Time 0.576 (0.634)	Data 0.002 (0.016)	Loss 4.9550 (4.8482)	Top-1 acc 12.891 (13.807)	Top-5 acc 30.859 (32.552)	lr 0.03359
Warmup Train [16][1150/2134]	Time 0.539 (0.634)	Data 0.002 (0.016)	Loss 4.7146 (4.8478)	Top-1 acc 16.797 (13.808)	Top-5 acc 35.156 (32.563)	lr 0.03358
Warmup Train [16][1160/2134]	Time 0.637 (0.634)	Data 0.002 (0.016)	Loss 4.7359 (4.8473)	Top-1 acc 15.234 (13.819)	Top-5 acc 37.500 (32.576)	lr 0.03357
Warmup Train [16][1170/2134]	Time 0.536 (0.634)	Data 0.002 (0.016)	Loss 4.9834 (4.8476)	Top-1 acc 12.891 (13.813)	Top-5 acc 30.469 (32.571)	lr 0.03356
Warmup Train [16][1180/2134]	Time 0.431 (0.633)	Data 0.004 (0.016)	Loss 4.8621 (4.8473)	Top-1 acc 11.328 (13.818)	Top-5 acc 31.641 (32.578)	lr 0.03356
Warmup Train [16][1190/2134]	Time 0.590 (0.633)	Data 0.002 (0.016)	Loss 4.9002 (4.8471)	Top-1 acc 13.281 (13.830)	Top-5 acc 33.594 (32.589)	lr 0.03355
Warmup Train [16][1200/2134]	Time 0.635 (0.633)	Data 0.003 (0.016)	Loss 5.0220 (4.8472)	Top-1 acc 11.328 (13.824)	Top-5 acc 29.688 (32.591)	lr 0.03354
Warmup Train [16][1210/2134]	Time 0.591 (0.633)	Data 0.002 (0.015)	Loss 4.8698 (4.8477)	Top-1 acc 14.062 (13.818)	Top-5 acc 30.469 (32.577)	lr 0.03353
Warmup Train [16][1220/2134]	Time 0.516 (0.634)	Data 0.003 (0.015)	Loss 4.8853 (4.8480)	Top-1 acc 13.672 (13.816)	Top-5 acc 34.375 (32.562)	lr 0.03352
Warmup Train [16][1230/2134]	Time 0.608 (0.634)	Data 0.002 (0.015)	Loss 4.8165 (4.8482)	Top-1 acc 9.375 (13.801)	Top-5 acc 33.203 (32.553)	lr 0.03351
Warmup Train [16][1240/2134]	Time 0.586 (0.633)	Data 0.002 (0.015)	Loss 4.9136 (4.8478)	Top-1 acc 11.328 (13.809)	Top-5 acc 30.078 (32.573)	lr 0.03350
Warmup Train [16][1250/2134]	Time 0.565 (0.633)	Data 0.002 (0.015)	Loss 4.8081 (4.8479)	Top-1 acc 15.234 (13.815)	Top-5 acc 33.594 (32.573)	lr 0.03350
Warmup Train [16][1260/2134]	Time 0.693 (0.632)	Data 0.003 (0.015)	Loss 4.8661 (4.8481)	Top-1 acc 15.234 (13.813)	Top-5 acc 28.906 (32.568)	lr 0.03349
Warmup Train [16][1270/2134]	Time 0.634 (0.631)	Data 0.002 (0.015)	Loss 4.8310 (4.8476)	Top-1 acc 15.234 (13.825)	Top-5 acc 30.859 (32.581)	lr 0.03348
Warmup Train [16][1280/2134]	Time 0.592 (0.631)	Data 0.002 (0.015)	Loss 4.6909 (4.8472)	Top-1 acc 16.406 (13.827)	Top-5 acc 35.156 (32.591)	lr 0.03347
Warmup Train [16][1290/2134]	Time 0.557 (0.631)	Data 0.002 (0.015)	Loss 4.9172 (4.8472)	Top-1 acc 12.500 (13.828)	Top-5 acc 31.641 (32.590)	lr 0.03346
Warmup Train [16][1300/2134]	Time 0.644 (0.631)	Data 0.002 (0.015)	Loss 4.7336 (4.8468)	Top-1 acc 16.797 (13.842)	Top-5 acc 34.375 (32.601)	lr 0.03345
Warmup Train [16][1310/2134]	Time 0.752 (0.631)	Data 0.002 (0.015)	Loss 4.9016 (4.8468)	Top-1 acc 16.016 (13.847)	Top-5 acc 33.203 (32.606)	lr 0.03344
Warmup Train [16][1320/2134]	Time 0.454 (0.631)	Data 0.002 (0.015)	Loss 4.9004 (4.8470)	Top-1 acc 12.891 (13.846)	Top-5 acc 32.812 (32.603)	lr 0.03343
Warmup Train [16][1330/2134]	Time 0.503 (0.631)	Data 0.003 (0.015)	Loss 4.9301 (4.8469)	Top-1 acc 12.891 (13.849)	Top-5 acc 30.078 (32.614)	lr 0.03343
Warmup Train [16][1340/2134]	Time 0.630 (0.630)	Data 0.002 (0.015)	Loss 4.8560 (4.8468)	Top-1 acc 15.625 (13.864)	Top-5 acc 37.109 (32.617)	lr 0.03342
Warmup Train [16][1350/2134]	Time 0.639 (0.630)	Data 0.002 (0.015)	Loss 4.7741 (4.8465)	Top-1 acc 13.281 (13.859)	Top-5 acc 32.422 (32.620)	lr 0.03341
Warmup Train [16][1360/2134]	Time 0.567 (0.630)	Data 0.002 (0.015)	Loss 4.9551 (4.8458)	Top-1 acc 13.672 (13.869)	Top-5 acc 31.641 (32.643)	lr 0.03340
Warmup Train [16][1370/2134]	Time 0.638 (0.631)	Data 0.002 (0.015)	Loss 4.8775 (4.8457)	Top-1 acc 10.547 (13.874)	Top-5 acc 31.641 (32.643)	lr 0.03339
Warmup Train [16][1380/2134]	Time 0.561 (0.631)	Data 0.002 (0.015)	Loss 4.9440 (4.8457)	Top-1 acc 11.328 (13.878)	Top-5 acc 30.859 (32.643)	lr 0.03338
Warmup Train [16][1390/2134]	Time 0.533 (0.631)	Data 0.002 (0.015)	Loss 4.8004 (4.8456)	Top-1 acc 14.844 (13.879)	Top-5 acc 31.641 (32.643)	lr 0.03337
Warmup Train [16][1400/2134]	Time 0.578 (0.631)	Data 0.002 (0.015)	Loss 4.6817 (4.8452)	Top-1 acc 14.062 (13.887)	Top-5 acc 36.328 (32.653)	lr 0.03337
Warmup Train [16][1410/2134]	Time 0.512 (0.630)	Data 0.002 (0.014)	Loss 4.7234 (4.8448)	Top-1 acc 14.844 (13.896)	Top-5 acc 36.328 (32.659)	lr 0.03336
Warmup Train [16][1420/2134]	Time 0.649 (0.630)	Data 0.002 (0.014)	Loss 5.0737 (4.8451)	Top-1 acc 10.156 (13.887)	Top-5 acc 25.781 (32.652)	lr 0.03335
Warmup Train [16][1430/2134]	Time 0.696 (0.630)	Data 0.002 (0.014)	Loss 4.6505 (4.8449)	Top-1 acc 17.969 (13.895)	Top-5 acc 34.766 (32.661)	lr 0.03334
Warmup Train [16][1440/2134]	Time 0.538 (0.630)	Data 0.002 (0.014)	Loss 4.7804 (4.8446)	Top-1 acc 13.672 (13.897)	Top-5 acc 31.250 (32.660)	lr 0.03333
Warmup Train [16][1450/2134]	Time 0.771 (0.630)	Data 0.002 (0.014)	Loss 4.9222 (4.8445)	Top-1 acc 13.672 (13.897)	Top-5 acc 29.297 (32.664)	lr 0.03332
Warmup Train [16][1460/2134]	Time 0.605 (0.630)	Data 0.002 (0.014)	Loss 4.8866 (4.8445)	Top-1 acc 10.547 (13.896)	Top-5 acc 30.469 (32.661)	lr 0.03331
Warmup Train [16][1470/2134]	Time 0.566 (0.629)	Data 0.002 (0.014)	Loss 4.6552 (4.8441)	Top-1 acc 14.453 (13.898)	Top-5 acc 39.453 (32.681)	lr 0.03330
Warmup Train [16][1480/2134]	Time 0.464 (0.629)	Data 0.002 (0.014)	Loss 4.6999 (4.8438)	Top-1 acc 17.969 (13.907)	Top-5 acc 32.812 (32.683)	lr 0.03330
Warmup Train [16][1490/2134]	Time 0.496 (0.629)	Data 0.003 (0.014)	Loss 4.9229 (4.8443)	Top-1 acc 12.109 (13.901)	Top-5 acc 33.984 (32.676)	lr 0.03329
Warmup Train [16][1500/2134]	Time 0.605 (0.629)	Data 0.002 (0.014)	Loss 4.8397 (4.8441)	Top-1 acc 12.891 (13.899)	Top-5 acc 31.250 (32.674)	lr 0.03328
Warmup Train [16][1510/2134]	Time 0.760 (0.629)	Data 0.002 (0.014)	Loss 4.7996 (4.8439)	Top-1 acc 12.109 (13.901)	Top-5 acc 34.766 (32.679)	lr 0.03327
Warmup Train [16][1520/2134]	Time 0.603 (0.630)	Data 0.002 (0.014)	Loss 4.6405 (4.8439)	Top-1 acc 16.406 (13.900)	Top-5 acc 40.625 (32.680)	lr 0.03326
Warmup Train [16][1530/2134]	Time 0.605 (0.630)	Data 0.002 (0.014)	Loss 4.9304 (4.8434)	Top-1 acc 13.281 (13.911)	Top-5 acc 30.469 (32.696)	lr 0.03325
Warmup Train [16][1540/2134]	Time 0.555 (0.630)	Data 0.002 (0.014)	Loss 4.8907 (4.8434)	Top-1 acc 14.453 (13.919)	Top-5 acc 30.469 (32.697)	lr 0.03324
Warmup Train [16][1550/2134]	Time 0.583 (0.630)	Data 0.002 (0.014)	Loss 4.5646 (4.8430)	Top-1 acc 21.094 (13.926)	Top-5 acc 41.016 (32.709)	lr 0.03324
Warmup Train [16][1560/2134]	Time 0.611 (0.629)	Data 0.002 (0.014)	Loss 4.7925 (4.8426)	Top-1 acc 13.672 (13.935)	Top-5 acc 33.594 (32.715)	lr 0.03323
Warmup Train [16][1570/2134]	Time 0.496 (0.629)	Data 0.002 (0.014)	Loss 4.8430 (4.8423)	Top-1 acc 9.766 (13.936)	Top-5 acc 32.422 (32.718)	lr 0.03322
Warmup Train [16][1580/2134]	Time 0.445 (0.629)	Data 0.002 (0.014)	Loss 4.8062 (4.8425)	Top-1 acc 14.062 (13.938)	Top-5 acc 33.984 (32.714)	lr 0.03321
Warmup Train [16][1590/2134]	Time 0.643 (0.629)	Data 0.002 (0.014)	Loss 4.8882 (4.8427)	Top-1 acc 14.844 (13.936)	Top-5 acc 32.812 (32.710)	lr 0.03320
Warmup Train [16][1600/2134]	Time 0.697 (0.629)	Data 0.002 (0.014)	Loss 4.8517 (4.8429)	Top-1 acc 14.453 (13.936)	Top-5 acc 31.641 (32.712)	lr 0.03319
Warmup Train [16][1610/2134]	Time 0.482 (0.628)	Data 0.002 (0.014)	Loss 4.7996 (4.8427)	Top-1 acc 14.453 (13.939)	Top-5 acc 33.203 (32.720)	lr 0.03318
Warmup Train [16][1620/2134]	Time 0.451 (0.628)	Data 0.002 (0.014)	Loss 4.7763 (4.8427)	Top-1 acc 13.672 (13.936)	Top-5 acc 35.938 (32.721)	lr 0.03317
Warmup Train [16][1630/2134]	Time 0.734 (0.628)	Data 0.002 (0.014)	Loss 4.8199 (4.8427)	Top-1 acc 14.062 (13.938)	Top-5 acc 31.641 (32.722)	lr 0.03317
Warmup Train [16][1640/2134]	Time 0.519 (0.628)	Data 0.003 (0.014)	Loss 4.9259 (4.8426)	Top-1 acc 14.062 (13.945)	Top-5 acc 29.688 (32.724)	lr 0.03316
Warmup Train [16][1650/2134]	Time 0.679 (0.628)	Data 0.002 (0.014)	Loss 4.7402 (4.8424)	Top-1 acc 15.234 (13.951)	Top-5 acc 35.156 (32.729)	lr 0.03315
Warmup Train [16][1660/2134]	Time 0.623 (0.628)	Data 0.002 (0.014)	Loss 4.7331 (4.8421)	Top-1 acc 12.500 (13.948)	Top-5 acc 33.984 (32.733)	lr 0.03314
Warmup Train [16][1670/2134]	Time 0.459 (0.628)	Data 0.002 (0.014)	Loss 4.8191 (4.8424)	Top-1 acc 12.500 (13.942)	Top-5 acc 33.594 (32.730)	lr 0.03313
Warmup Train [16][1680/2134]	Time 0.621 (0.628)	Data 0.002 (0.014)	Loss 4.8841 (4.8420)	Top-1 acc 14.844 (13.954)	Top-5 acc 31.641 (32.741)	lr 0.03312
Warmup Train [16][1690/2134]	Time 0.442 (0.628)	Data 0.002 (0.014)	Loss 4.9841 (4.8421)	Top-1 acc 11.719 (13.946)	Top-5 acc 30.469 (32.739)	lr 0.03311
Warmup Train [16][1700/2134]	Time 0.562 (0.628)	Data 0.002 (0.014)	Loss 4.7139 (4.8419)	Top-1 acc 17.188 (13.944)	Top-5 acc 36.328 (32.746)	lr 0.03310
Warmup Train [16][1710/2134]	Time 0.452 (0.628)	Data 0.002 (0.014)	Loss 4.8251 (4.8416)	Top-1 acc 9.375 (13.947)	Top-5 acc 35.938 (32.755)	lr 0.03310
Warmup Train [16][1720/2134]	Time 0.642 (0.628)	Data 0.002 (0.014)	Loss 4.6911 (4.8417)	Top-1 acc 20.703 (13.947)	Top-5 acc 38.281 (32.755)	lr 0.03309
Warmup Train [16][1730/2134]	Time 0.603 (0.628)	Data 0.002 (0.014)	Loss 4.7225 (4.8414)	Top-1 acc 16.016 (13.947)	Top-5 acc 32.812 (32.762)	lr 0.03308
Warmup Train [16][1740/2134]	Time 0.579 (0.628)	Data 0.002 (0.013)	Loss 4.7976 (4.8411)	Top-1 acc 15.625 (13.954)	Top-5 acc 32.422 (32.761)	lr 0.03307
Warmup Train [16][1750/2134]	Time 0.559 (0.627)	Data 0.002 (0.013)	Loss 4.8116 (4.8408)	Top-1 acc 14.062 (13.957)	Top-5 acc 34.375 (32.768)	lr 0.03306
Warmup Train [16][1760/2134]	Time 0.686 (0.627)	Data 0.002 (0.014)	Loss 4.8493 (4.8407)	Top-1 acc 14.062 (13.956)	Top-5 acc 33.594 (32.767)	lr 0.03305
Warmup Train [16][1770/2134]	Time 0.469 (0.627)	Data 0.002 (0.013)	Loss 4.7807 (4.8409)	Top-1 acc 12.891 (13.951)	Top-5 acc 33.594 (32.763)	lr 0.03304
Warmup Train [16][1780/2134]	Time 0.678 (0.627)	Data 0.002 (0.013)	Loss 4.7715 (4.8411)	Top-1 acc 13.672 (13.945)	Top-5 acc 32.422 (32.758)	lr 0.03304
Warmup Train [16][1790/2134]	Time 0.554 (0.627)	Data 0.002 (0.013)	Loss 4.7596 (4.8410)	Top-1 acc 14.453 (13.944)	Top-5 acc 36.328 (32.761)	lr 0.03303
Warmup Train [16][1800/2134]	Time 0.652 (0.627)	Data 0.002 (0.013)	Loss 4.8771 (4.8411)	Top-1 acc 13.281 (13.943)	Top-5 acc 32.031 (32.754)	lr 0.03302
Warmup Train [16][1810/2134]	Time 0.609 (0.627)	Data 0.002 (0.013)	Loss 4.8059 (4.8410)	Top-1 acc 14.844 (13.953)	Top-5 acc 32.422 (32.761)	lr 0.03301
Warmup Train [16][1820/2134]	Time 0.619 (0.627)	Data 0.002 (0.013)	Loss 4.7983 (4.8409)	Top-1 acc 16.406 (13.954)	Top-5 acc 35.938 (32.767)	lr 0.03300
Warmup Train [16][1830/2134]	Time 0.435 (0.627)	Data 0.002 (0.013)	Loss 4.7137 (4.8407)	Top-1 acc 17.969 (13.959)	Top-5 acc 35.938 (32.769)	lr 0.03299
Warmup Train [16][1840/2134]	Time 0.618 (0.627)	Data 0.002 (0.013)	Loss 4.8053 (4.8406)	Top-1 acc 14.453 (13.959)	Top-5 acc 33.594 (32.773)	lr 0.03298
Warmup Train [16][1850/2134]	Time 0.624 (0.627)	Data 0.003 (0.013)	Loss 5.1375 (4.8405)	Top-1 acc 8.594 (13.964)	Top-5 acc 25.391 (32.776)	lr 0.03297
Warmup Train [16][1860/2134]	Time 0.627 (0.627)	Data 0.002 (0.013)	Loss 4.8082 (4.8402)	Top-1 acc 14.844 (13.964)	Top-5 acc 37.109 (32.783)	lr 0.03297
Warmup Train [16][1870/2134]	Time 0.620 (0.627)	Data 0.002 (0.013)	Loss 4.7584 (4.8400)	Top-1 acc 13.672 (13.966)	Top-5 acc 37.500 (32.791)	lr 0.03296
Warmup Train [16][1880/2134]	Time 0.634 (0.627)	Data 0.002 (0.013)	Loss 4.6573 (4.8397)	Top-1 acc 13.672 (13.975)	Top-5 acc 35.156 (32.796)	lr 0.03295
Warmup Train [16][1890/2134]	Time 0.485 (0.627)	Data 0.003 (0.013)	Loss 4.7515 (4.8398)	Top-1 acc 13.672 (13.976)	Top-5 acc 37.109 (32.789)	lr 0.03294
Warmup Train [16][1900/2134]	Time 0.627 (0.627)	Data 0.002 (0.013)	Loss 4.8280 (4.8394)	Top-1 acc 13.281 (13.979)	Top-5 acc 35.156 (32.797)	lr 0.03293
Warmup Train [16][1910/2134]	Time 0.421 (0.626)	Data 0.003 (0.013)	Loss 4.7556 (4.8394)	Top-1 acc 13.672 (13.980)	Top-5 acc 33.203 (32.795)	lr 0.03292
Warmup Train [16][1920/2134]	Time 0.680 (0.626)	Data 0.002 (0.013)	Loss 4.6661 (4.8392)	Top-1 acc 17.578 (13.985)	Top-5 acc 34.766 (32.799)	lr 0.03291
Warmup Train [16][1930/2134]	Time 0.714 (0.626)	Data 0.003 (0.013)	Loss 4.8673 (4.8394)	Top-1 acc 14.844 (13.981)	Top-5 acc 33.594 (32.790)	lr 0.03290
Warmup Train [16][1940/2134]	Time 0.580 (0.626)	Data 0.002 (0.013)	Loss 4.7409 (4.8391)	Top-1 acc 17.578 (13.988)	Top-5 acc 36.328 (32.794)	lr 0.03290
Warmup Train [16][1950/2134]	Time 0.573 (0.626)	Data 0.002 (0.013)	Loss 4.9544 (4.8393)	Top-1 acc 10.938 (13.986)	Top-5 acc 31.250 (32.791)	lr 0.03289
Warmup Train [16][1960/2134]	Time 0.583 (0.626)	Data 0.002 (0.013)	Loss 4.7892 (4.8393)	Top-1 acc 14.453 (13.984)	Top-5 acc 33.203 (32.787)	lr 0.03288
Warmup Train [16][1970/2134]	Time 0.641 (0.626)	Data 0.002 (0.013)	Loss 4.8516 (4.8393)	Top-1 acc 12.109 (13.990)	Top-5 acc 35.938 (32.793)	lr 0.03287
Warmup Train [16][1980/2134]	Time 0.651 (0.626)	Data 0.002 (0.013)	Loss 4.9288 (4.8392)	Top-1 acc 11.719 (13.989)	Top-5 acc 28.125 (32.788)	lr 0.03286
Warmup Train [16][1990/2134]	Time 2.164 (0.627)	Data 0.002 (0.013)	Loss 4.8236 (4.8390)	Top-1 acc 15.625 (13.993)	Top-5 acc 32.812 (32.792)	lr 0.03285
Warmup Train [16][2000/2134]	Time 0.607 (0.627)	Data 0.002 (0.013)	Loss 4.8390 (4.8386)	Top-1 acc 15.625 (14.001)	Top-5 acc 32.031 (32.803)	lr 0.03284
Warmup Train [16][2010/2134]	Time 0.758 (0.627)	Data 0.003 (0.013)	Loss 4.7833 (4.8382)	Top-1 acc 16.016 (14.011)	Top-5 acc 35.156 (32.816)	lr 0.03283
Warmup Train [16][2020/2134]	Time 0.724 (0.627)	Data 0.002 (0.013)	Loss 4.6792 (4.8382)	Top-1 acc 14.844 (14.011)	Top-5 acc 36.719 (32.811)	lr 0.03283
Warmup Train [16][2030/2134]	Time 0.577 (0.626)	Data 0.002 (0.013)	Loss 4.7805 (4.8378)	Top-1 acc 16.016 (14.017)	Top-5 acc 34.766 (32.818)	lr 0.03282
Warmup Train [16][2040/2134]	Time 0.506 (0.626)	Data 0.002 (0.013)	Loss 4.8739 (4.8376)	Top-1 acc 11.328 (14.016)	Top-5 acc 31.641 (32.821)	lr 0.03281
Warmup Train [16][2050/2134]	Time 0.608 (0.626)	Data 0.002 (0.013)	Loss 4.7905 (4.8375)	Top-1 acc 15.234 (14.020)	Top-5 acc 36.328 (32.824)	lr 0.03280
Warmup Train [16][2060/2134]	Time 0.498 (0.626)	Data 0.002 (0.013)	Loss 4.6986 (4.8372)	Top-1 acc 15.234 (14.020)	Top-5 acc 37.500 (32.825)	lr 0.03279
Warmup Train [16][2070/2134]	Time 0.672 (0.626)	Data 0.002 (0.013)	Loss 4.9161 (4.8371)	Top-1 acc 10.547 (14.018)	Top-5 acc 31.641 (32.829)	lr 0.03278
Warmup Train [16][2080/2134]	Time 0.590 (0.626)	Data 0.000 (0.013)	Loss 4.7649 (4.8371)	Top-1 acc 18.359 (14.017)	Top-5 acc 33.203 (32.830)	lr 0.03277
Warmup Train [16][2090/2134]	Time 0.568 (0.626)	Data 0.000 (0.012)	Loss 4.7352 (4.8372)	Top-1 acc 17.578 (14.018)	Top-5 acc 32.812 (32.828)	lr 0.03276
Warmup Train [16][2100/2134]	Time 0.644 (0.625)	Data 0.000 (0.012)	Loss 4.7608 (4.8373)	Top-1 acc 17.969 (14.019)	Top-5 acc 36.719 (32.833)	lr 0.03276
Warmup Train [16][2110/2134]	Time 0.484 (0.625)	Data 0.000 (0.012)	Loss 4.9309 (4.8369)	Top-1 acc 14.062 (14.021)	Top-5 acc 32.422 (32.845)	lr 0.03275
Warmup Train [16][2120/2134]	Time 0.518 (0.625)	Data 0.000 (0.012)	Loss 4.8666 (4.8366)	Top-1 acc 12.891 (14.024)	Top-5 acc 32.812 (32.854)	lr 0.03274
Warmup Train [16][2130/2134]	Time 0.633 (0.625)	Data 0.000 (0.012)	Loss 4.7413 (4.8363)	Top-1 acc 15.234 (14.031)	Top-5 acc 38.281 (32.857)	lr 0.03273
Warmup Train [16][2134/2134]	Time 0.413 (0.625)	Data 0.000 (0.012)	Loss 4.7286 (4.8363)	Top-1 acc 16.578 (14.032)	Top-5 acc 31.016 (32.857)	lr 0.03273
==========Warmup Valid [16/40]	loss 3.996	top-1 acc 19.739	top-5 acc 42.000	Train top-1 14.032	top-5 32.857	flops: 442.4M
Warmup Train [17][0/2134]	Time 12.095 (12.095)	Data 9.918 (9.918)	Loss 4.7141 (4.7141)	Top-1 acc 17.188 (17.188)	Top-5 acc 35.156 (35.156)	lr 0.03273
Warmup Train [17][10/2134]	Time 0.652 (1.779)	Data 0.002 (0.911)	Loss 4.7684 (4.7766)	Top-1 acc 14.844 (15.412)	Top-5 acc 32.422 (33.984)	lr 0.03272
Warmup Train [17][20/2134]	Time 0.661 (1.208)	Data 0.002 (0.478)	Loss 4.7982 (4.7908)	Top-1 acc 13.672 (15.290)	Top-5 acc 32.812 (33.501)	lr 0.03271
Warmup Train [17][30/2134]	Time 0.461 (1.008)	Data 0.002 (0.325)	Loss 4.8187 (4.7893)	Top-1 acc 15.234 (15.134)	Top-5 acc 33.203 (33.720)	lr 0.03270
Warmup Train [17][40/2134]	Time 0.515 (0.912)	Data 0.002 (0.249)	Loss 5.0427 (4.7947)	Top-1 acc 10.547 (14.977)	Top-5 acc 28.906 (33.384)	lr 0.03269
Warmup Train [17][50/2134]	Time 0.701 (0.854)	Data 0.003 (0.203)	Loss 4.7654 (4.7880)	Top-1 acc 16.406 (15.043)	Top-5 acc 35.156 (33.387)	lr 0.03268
Warmup Train [17][60/2134]	Time 0.583 (0.812)	Data 0.002 (0.171)	Loss 4.8122 (4.7877)	Top-1 acc 15.234 (15.119)	Top-5 acc 34.375 (33.504)	lr 0.03267
Warmup Train [17][70/2134]	Time 0.646 (0.785)	Data 0.002 (0.147)	Loss 4.6979 (4.7862)	Top-1 acc 17.188 (15.146)	Top-5 acc 39.453 (33.632)	lr 0.03266
Warmup Train [17][80/2134]	Time 0.448 (0.764)	Data 0.002 (0.129)	Loss 4.9056 (4.7900)	Top-1 acc 14.844 (15.032)	Top-5 acc 33.984 (33.729)	lr 0.03266
Warmup Train [17][90/2134]	Time 0.721 (0.747)	Data 0.002 (0.117)	Loss 4.8854 (4.7850)	Top-1 acc 14.453 (15.097)	Top-5 acc 30.469 (33.778)	lr 0.03265
Warmup Train [17][100/2134]	Time 0.664 (0.735)	Data 0.002 (0.106)	Loss 4.5934 (4.7835)	Top-1 acc 18.359 (15.114)	Top-5 acc 38.281 (33.861)	lr 0.03264
Warmup Train [17][110/2134]	Time 0.619 (0.724)	Data 0.002 (0.096)	Loss 4.7272 (4.7796)	Top-1 acc 16.406 (15.076)	Top-5 acc 36.719 (33.935)	lr 0.03263
Warmup Train [17][120/2134]	Time 0.665 (0.714)	Data 0.002 (0.089)	Loss 4.8334 (4.7833)	Top-1 acc 14.062 (14.970)	Top-5 acc 35.547 (33.833)	lr 0.03262
Warmup Train [17][130/2134]	Time 0.601 (0.705)	Data 0.002 (0.082)	Loss 4.6512 (4.7857)	Top-1 acc 15.625 (14.844)	Top-5 acc 37.109 (33.767)	lr 0.03261
Warmup Train [17][140/2134]	Time 0.591 (0.697)	Data 0.003 (0.077)	Loss 4.9473 (4.7896)	Top-1 acc 10.938 (14.813)	Top-5 acc 28.906 (33.702)	lr 0.03260
Warmup Train [17][150/2134]	Time 0.489 (0.703)	Data 0.002 (0.072)	Loss 4.9052 (4.7918)	Top-1 acc 17.578 (14.725)	Top-5 acc 33.984 (33.684)	lr 0.03259
Warmup Train [17][160/2134]	Time 0.577 (0.698)	Data 0.004 (0.068)	Loss 4.9134 (4.7921)	Top-1 acc 11.328 (14.686)	Top-5 acc 32.031 (33.635)	lr 0.03259
Warmup Train [17][170/2134]	Time 0.727 (0.693)	Data 0.004 (0.065)	Loss 4.9611 (4.7926)	Top-1 acc 11.719 (14.711)	Top-5 acc 34.766 (33.681)	lr 0.03258
Warmup Train [17][180/2134]	Time 0.716 (0.688)	Data 0.002 (0.062)	Loss 4.8128 (4.7918)	Top-1 acc 15.625 (14.742)	Top-5 acc 35.547 (33.708)	lr 0.03257
Warmup Train [17][190/2134]	Time 0.485 (0.683)	Data 0.002 (0.059)	Loss 4.8043 (4.7910)	Top-1 acc 12.891 (14.770)	Top-5 acc 34.766 (33.716)	lr 0.03256
Warmup Train [17][200/2134]	Time 0.512 (0.679)	Data 0.002 (0.057)	Loss 4.9921 (4.7933)	Top-1 acc 11.719 (14.795)	Top-5 acc 27.344 (33.675)	lr 0.03255
Warmup Train [17][210/2134]	Time 0.573 (0.676)	Data 0.002 (0.055)	Loss 4.7229 (4.7936)	Top-1 acc 15.234 (14.796)	Top-5 acc 37.891 (33.675)	lr 0.03254
Warmup Train [17][220/2134]	Time 0.699 (0.672)	Data 0.002 (0.053)	Loss 4.8749 (4.7931)	Top-1 acc 12.891 (14.778)	Top-5 acc 33.984 (33.696)	lr 0.03253
Warmup Train [17][230/2134]	Time 0.640 (0.669)	Data 0.002 (0.051)	Loss 4.6459 (4.7932)	Top-1 acc 17.969 (14.763)	Top-5 acc 35.547 (33.709)	lr 0.03252
Warmup Train [17][240/2134]	Time 0.632 (0.666)	Data 0.027 (0.049)	Loss 4.8026 (4.7922)	Top-1 acc 11.328 (14.794)	Top-5 acc 33.984 (33.754)	lr 0.03252
Warmup Train [17][250/2134]	Time 0.588 (0.664)	Data 0.003 (0.047)	Loss 4.8049 (4.7933)	Top-1 acc 14.844 (14.780)	Top-5 acc 33.203 (33.707)	lr 0.03251
Warmup Train [17][260/2134]	Time 0.726 (0.662)	Data 0.002 (0.046)	Loss 4.5424 (4.7917)	Top-1 acc 18.750 (14.793)	Top-5 acc 39.453 (33.776)	lr 0.03250
Warmup Train [17][270/2134]	Time 0.504 (0.660)	Data 0.003 (0.044)	Loss 4.6631 (4.7899)	Top-1 acc 18.359 (14.801)	Top-5 acc 36.719 (33.837)	lr 0.03249
Warmup Train [17][280/2134]	Time 0.499 (0.659)	Data 0.002 (0.043)	Loss 4.7794 (4.7900)	Top-1 acc 14.844 (14.819)	Top-5 acc 30.469 (33.848)	lr 0.03248
Warmup Train [17][290/2134]	Time 0.630 (0.658)	Data 0.003 (0.042)	Loss 4.7545 (4.7896)	Top-1 acc 16.406 (14.856)	Top-5 acc 37.891 (33.925)	lr 0.03247
Warmup Train [17][300/2134]	Time 0.408 (0.656)	Data 0.002 (0.041)	Loss 4.7880 (4.7907)	Top-1 acc 17.188 (14.820)	Top-5 acc 33.984 (33.914)	lr 0.03246
Warmup Train [17][310/2134]	Time 0.620 (0.660)	Data 0.002 (0.040)	Loss 4.9258 (4.7907)	Top-1 acc 13.281 (14.809)	Top-5 acc 30.859 (33.880)	lr 0.03245
Warmup Train [17][320/2134]	Time 0.550 (0.659)	Data 0.002 (0.039)	Loss 4.8257 (4.7910)	Top-1 acc 16.797 (14.839)	Top-5 acc 35.547 (33.900)	lr 0.03245
Warmup Train [17][330/2134]	Time 0.602 (0.658)	Data 0.005 (0.038)	Loss 4.7690 (4.7924)	Top-1 acc 13.672 (14.810)	Top-5 acc 35.547 (33.890)	lr 0.03244
Warmup Train [17][340/2134]	Time 0.647 (0.657)	Data 0.002 (0.037)	Loss 4.7960 (4.7936)	Top-1 acc 12.891 (14.784)	Top-5 acc 35.156 (33.879)	lr 0.03243
Warmup Train [17][350/2134]	Time 0.532 (0.656)	Data 0.002 (0.036)	Loss 4.6432 (4.7941)	Top-1 acc 14.844 (14.767)	Top-5 acc 37.109 (33.847)	lr 0.03242
Warmup Train [17][360/2134]	Time 0.523 (0.655)	Data 0.002 (0.036)	Loss 4.8630 (4.7935)	Top-1 acc 13.281 (14.766)	Top-5 acc 34.766 (33.875)	lr 0.03241
Warmup Train [17][370/2134]	Time 0.544 (0.654)	Data 0.003 (0.035)	Loss 4.7892 (4.7932)	Top-1 acc 17.188 (14.794)	Top-5 acc 33.203 (33.888)	lr 0.03240
Warmup Train [17][380/2134]	Time 0.634 (0.653)	Data 0.002 (0.035)	Loss 4.6611 (4.7930)	Top-1 acc 12.109 (14.777)	Top-5 acc 35.938 (33.885)	lr 0.03239
Warmup Train [17][390/2134]	Time 0.678 (0.651)	Data 0.002 (0.034)	Loss 4.8204 (4.7934)	Top-1 acc 12.109 (14.748)	Top-5 acc 32.031 (33.864)	lr 0.03238
Warmup Train [17][400/2134]	Time 0.642 (0.650)	Data 0.004 (0.033)	Loss 4.8737 (4.7937)	Top-1 acc 10.938 (14.743)	Top-5 acc 31.250 (33.864)	lr 0.03237
Warmup Train [17][410/2134]	Time 0.634 (0.650)	Data 0.002 (0.033)	Loss 5.0040 (4.7930)	Top-1 acc 14.453 (14.750)	Top-5 acc 28.516 (33.886)	lr 0.03237
Warmup Train [17][420/2134]	Time 0.528 (0.648)	Data 0.002 (0.032)	Loss 4.7992 (4.7918)	Top-1 acc 14.062 (14.751)	Top-5 acc 33.594 (33.923)	lr 0.03236
Warmup Train [17][430/2134]	Time 0.719 (0.648)	Data 0.003 (0.031)	Loss 4.8023 (4.7914)	Top-1 acc 14.844 (14.732)	Top-5 acc 34.375 (33.926)	lr 0.03235
Warmup Train [17][440/2134]	Time 0.797 (0.647)	Data 0.002 (0.031)	Loss 4.8952 (4.7907)	Top-1 acc 11.328 (14.743)	Top-5 acc 31.641 (33.960)	lr 0.03234
Warmup Train [17][450/2134]	Time 0.782 (0.646)	Data 0.002 (0.030)	Loss 4.8102 (4.7902)	Top-1 acc 18.359 (14.782)	Top-5 acc 31.641 (33.968)	lr 0.03233
Warmup Train [17][460/2134]	Time 2.039 (0.649)	Data 0.002 (0.030)	Loss 4.7015 (4.7894)	Top-1 acc 17.578 (14.817)	Top-5 acc 35.156 (33.988)	lr 0.03232
Warmup Train [17][470/2134]	Time 0.487 (0.648)	Data 0.003 (0.029)	Loss 4.7927 (4.7889)	Top-1 acc 16.016 (14.817)	Top-5 acc 32.422 (34.003)	lr 0.03231
Warmup Train [17][480/2134]	Time 0.623 (0.648)	Data 0.002 (0.029)	Loss 4.8351 (4.7897)	Top-1 acc 12.500 (14.805)	Top-5 acc 32.812 (33.982)	lr 0.03230
Warmup Train [17][490/2134]	Time 0.603 (0.647)	Data 0.002 (0.028)	Loss 4.7410 (4.7895)	Top-1 acc 16.797 (14.790)	Top-5 acc 32.031 (33.972)	lr 0.03230
Warmup Train [17][500/2134]	Time 0.761 (0.647)	Data 0.002 (0.028)	Loss 4.5273 (4.7884)	Top-1 acc 20.312 (14.801)	Top-5 acc 41.016 (34.008)	lr 0.03229
Warmup Train [17][510/2134]	Time 0.651 (0.646)	Data 0.002 (0.028)	Loss 4.7972 (4.7886)	Top-1 acc 13.281 (14.802)	Top-5 acc 33.203 (34.010)	lr 0.03228
Warmup Train [17][520/2134]	Time 0.604 (0.645)	Data 0.002 (0.027)	Loss 4.6244 (4.7880)	Top-1 acc 17.188 (14.808)	Top-5 acc 37.109 (34.027)	lr 0.03227
Warmup Train [17][530/2134]	Time 0.571 (0.645)	Data 0.002 (0.027)	Loss 4.8260 (4.7890)	Top-1 acc 13.281 (14.778)	Top-5 acc 30.469 (34.000)	lr 0.03226
Warmup Train [17][540/2134]	Time 0.533 (0.644)	Data 0.002 (0.026)	Loss 4.7086 (4.7891)	Top-1 acc 14.453 (14.768)	Top-5 acc 34.766 (34.000)	lr 0.03225
Warmup Train [17][550/2134]	Time 0.627 (0.644)	Data 0.002 (0.026)	Loss 4.7620 (4.7880)	Top-1 acc 12.891 (14.767)	Top-5 acc 33.203 (34.017)	lr 0.03224
Warmup Train [17][560/2134]	Time 0.561 (0.643)	Data 0.002 (0.026)	Loss 4.7469 (4.7874)	Top-1 acc 14.453 (14.763)	Top-5 acc 32.812 (34.032)	lr 0.03223
Warmup Train [17][570/2134]	Time 0.616 (0.643)	Data 0.002 (0.026)	Loss 4.9982 (4.7881)	Top-1 acc 11.328 (14.759)	Top-5 acc 25.391 (34.025)	lr 0.03223
Warmup Train [17][580/2134]	Time 0.323 (0.642)	Data 0.002 (0.025)	Loss 4.8956 (4.7888)	Top-1 acc 13.672 (14.750)	Top-5 acc 30.078 (34.003)	lr 0.03222
Warmup Train [17][590/2134]	Time 0.649 (0.642)	Data 0.003 (0.025)	Loss 4.8210 (4.7890)	Top-1 acc 14.844 (14.744)	Top-5 acc 33.594 (33.998)	lr 0.03221
Warmup Train [17][600/2134]	Time 0.481 (0.641)	Data 0.002 (0.025)	Loss 4.7599 (4.7879)	Top-1 acc 15.234 (14.768)	Top-5 acc 33.984 (34.032)	lr 0.03220
Warmup Train [17][610/2134]	Time 0.763 (0.641)	Data 0.002 (0.025)	Loss 4.7907 (4.7874)	Top-1 acc 11.719 (14.772)	Top-5 acc 34.766 (34.053)	lr 0.03219
Warmup Train [17][620/2134]	Time 0.604 (0.643)	Data 0.002 (0.024)	Loss 4.7398 (4.7873)	Top-1 acc 15.234 (14.772)	Top-5 acc 35.547 (34.046)	lr 0.03218
Warmup Train [17][630/2134]	Time 0.492 (0.642)	Data 0.003 (0.024)	Loss 4.8695 (4.7871)	Top-1 acc 12.891 (14.765)	Top-5 acc 34.766 (34.044)	lr 0.03217
Warmup Train [17][640/2134]	Time 0.427 (0.642)	Data 0.003 (0.024)	Loss 4.8732 (4.7881)	Top-1 acc 14.062 (14.747)	Top-5 acc 32.812 (34.008)	lr 0.03216
Warmup Train [17][650/2134]	Time 0.714 (0.641)	Data 0.004 (0.024)	Loss 4.7797 (4.7885)	Top-1 acc 16.797 (14.755)	Top-5 acc 37.109 (33.998)	lr 0.03215
Warmup Train [17][660/2134]	Time 0.715 (0.641)	Data 0.004 (0.023)	Loss 4.7763 (4.7887)	Top-1 acc 14.844 (14.758)	Top-5 acc 33.984 (34.002)	lr 0.03215
Warmup Train [17][670/2134]	Time 0.706 (0.641)	Data 0.004 (0.023)	Loss 4.8017 (4.7897)	Top-1 acc 14.453 (14.738)	Top-5 acc 35.938 (33.972)	lr 0.03214
Warmup Train [17][680/2134]	Time 0.688 (0.641)	Data 0.002 (0.023)	Loss 4.9414 (4.7897)	Top-1 acc 15.625 (14.751)	Top-5 acc 31.250 (33.975)	lr 0.03213
Warmup Train [17][690/2134]	Time 0.619 (0.640)	Data 0.004 (0.023)	Loss 4.7592 (4.7904)	Top-1 acc 10.938 (14.746)	Top-5 acc 35.547 (33.974)	lr 0.03212
Warmup Train [17][700/2134]	Time 0.597 (0.640)	Data 0.002 (0.022)	Loss 4.6916 (4.7896)	Top-1 acc 17.188 (14.767)	Top-5 acc 38.281 (33.983)	lr 0.03211
Warmup Train [17][710/2134]	Time 0.619 (0.639)	Data 0.002 (0.022)	Loss 4.6776 (4.7897)	Top-1 acc 16.016 (14.766)	Top-5 acc 34.375 (33.968)	lr 0.03210
Warmup Train [17][720/2134]	Time 0.663 (0.639)	Data 0.002 (0.022)	Loss 4.7486 (4.7894)	Top-1 acc 13.672 (14.776)	Top-5 acc 37.500 (33.975)	lr 0.03209
Warmup Train [17][730/2134]	Time 0.601 (0.639)	Data 0.003 (0.022)	Loss 4.8125 (4.7894)	Top-1 acc 11.328 (14.776)	Top-5 acc 32.031 (33.988)	lr 0.03208
Warmup Train [17][740/2134]	Time 0.631 (0.638)	Data 0.002 (0.021)	Loss 4.7882 (4.7891)	Top-1 acc 15.625 (14.760)	Top-5 acc 38.281 (34.003)	lr 0.03208
Warmup Train [17][750/2134]	Time 0.519 (0.638)	Data 0.002 (0.021)	Loss 4.8595 (4.7897)	Top-1 acc 14.062 (14.755)	Top-5 acc 33.594 (33.984)	lr 0.03207
Warmup Train [17][760/2134]	Time 0.556 (0.638)	Data 0.002 (0.021)	Loss 4.7376 (4.7897)	Top-1 acc 10.938 (14.742)	Top-5 acc 38.672 (33.975)	lr 0.03206
Warmup Train [17][770/2134]	Time 0.614 (0.637)	Data 0.002 (0.021)	Loss 4.8002 (4.7895)	Top-1 acc 16.797 (14.741)	Top-5 acc 35.547 (33.979)	lr 0.03205
Warmup Train [17][780/2134]	Time 0.663 (0.639)	Data 0.003 (0.021)	Loss 4.6923 (4.7895)	Top-1 acc 12.891 (14.747)	Top-5 acc 35.547 (33.971)	lr 0.03204
Warmup Train [17][790/2134]	Time 0.683 (0.639)	Data 0.002 (0.020)	Loss 4.8319 (4.7900)	Top-1 acc 14.062 (14.737)	Top-5 acc 33.984 (33.953)	lr 0.03203
Warmup Train [17][800/2134]	Time 0.720 (0.639)	Data 0.003 (0.020)	Loss 4.9086 (4.7901)	Top-1 acc 12.500 (14.731)	Top-5 acc 31.641 (33.957)	lr 0.03202
Warmup Train [17][810/2134]	Time 0.459 (0.638)	Data 0.002 (0.020)	Loss 4.8328 (4.7895)	Top-1 acc 16.016 (14.739)	Top-5 acc 30.859 (33.967)	lr 0.03201
Warmup Train [17][820/2134]	Time 0.632 (0.638)	Data 0.002 (0.020)	Loss 4.7638 (4.7895)	Top-1 acc 16.016 (14.741)	Top-5 acc 37.109 (33.975)	lr 0.03200
Warmup Train [17][830/2134]	Time 0.618 (0.637)	Data 0.003 (0.020)	Loss 4.7744 (4.7895)	Top-1 acc 12.500 (14.733)	Top-5 acc 30.078 (33.971)	lr 0.03200
Warmup Train [17][840/2134]	Time 0.600 (0.637)	Data 0.002 (0.020)	Loss 4.7335 (4.7895)	Top-1 acc 14.453 (14.730)	Top-5 acc 32.031 (33.973)	lr 0.03199
Warmup Train [17][850/2134]	Time 0.595 (0.637)	Data 0.002 (0.019)	Loss 4.6783 (4.7889)	Top-1 acc 14.062 (14.724)	Top-5 acc 36.719 (33.990)	lr 0.03198
Warmup Train [17][860/2134]	Time 0.580 (0.636)	Data 0.002 (0.019)	Loss 4.6752 (4.7890)	Top-1 acc 18.750 (14.728)	Top-5 acc 38.672 (33.994)	lr 0.03197
Warmup Train [17][870/2134]	Time 0.585 (0.636)	Data 0.003 (0.019)	Loss 4.7125 (4.7884)	Top-1 acc 16.016 (14.740)	Top-5 acc 37.891 (34.001)	lr 0.03196
Warmup Train [17][880/2134]	Time 0.696 (0.636)	Data 0.003 (0.019)	Loss 4.8191 (4.7882)	Top-1 acc 14.062 (14.743)	Top-5 acc 30.859 (34.012)	lr 0.03195
Warmup Train [17][890/2134]	Time 0.578 (0.636)	Data 0.002 (0.019)	Loss 4.6302 (4.7883)	Top-1 acc 17.969 (14.741)	Top-5 acc 40.234 (34.015)	lr 0.03194
Warmup Train [17][900/2134]	Time 0.696 (0.635)	Data 0.002 (0.019)	Loss 4.8141 (4.7886)	Top-1 acc 17.188 (14.744)	Top-5 acc 32.812 (33.999)	lr 0.03193
Warmup Train [17][910/2134]	Time 0.604 (0.635)	Data 0.002 (0.018)	Loss 4.6126 (4.7886)	Top-1 acc 19.141 (14.742)	Top-5 acc 38.281 (34.004)	lr 0.03193
Warmup Train [17][920/2134]	Time 0.530 (0.635)	Data 0.002 (0.018)	Loss 4.6620 (4.7885)	Top-1 acc 14.062 (14.747)	Top-5 acc 36.719 (34.003)	lr 0.03192
Warmup Train [17][930/2134]	Time 0.582 (0.637)	Data 0.002 (0.018)	Loss 4.7849 (4.7883)	Top-1 acc 14.062 (14.745)	Top-5 acc 33.984 (34.004)	lr 0.03191
Warmup Train [17][940/2134]	Time 0.754 (0.637)	Data 0.002 (0.018)	Loss 4.7191 (4.7876)	Top-1 acc 14.844 (14.756)	Top-5 acc 35.156 (34.017)	lr 0.03190
Warmup Train [17][950/2134]	Time 0.409 (0.636)	Data 0.004 (0.018)	Loss 5.0222 (4.7879)	Top-1 acc 13.672 (14.733)	Top-5 acc 27.344 (33.995)	lr 0.03189
Warmup Train [17][960/2134]	Time 0.597 (0.636)	Data 0.003 (0.018)	Loss 4.7781 (4.7876)	Top-1 acc 13.281 (14.735)	Top-5 acc 31.641 (33.995)	lr 0.03188
Warmup Train [17][970/2134]	Time 0.717 (0.636)	Data 0.002 (0.018)	Loss 4.7286 (4.7873)	Top-1 acc 15.234 (14.743)	Top-5 acc 39.062 (33.998)	lr 0.03187
Warmup Train [17][980/2134]	Time 0.695 (0.635)	Data 0.002 (0.018)	Loss 4.7487 (4.7869)	Top-1 acc 15.234 (14.751)	Top-5 acc 33.984 (34.004)	lr 0.03186
Warmup Train [17][990/2134]	Time 0.670 (0.635)	Data 0.002 (0.018)	Loss 4.9020 (4.7867)	Top-1 acc 11.328 (14.756)	Top-5 acc 34.375 (34.017)	lr 0.03185
Warmup Train [17][1000/2134]	Time 0.554 (0.634)	Data 0.002 (0.018)	Loss 4.6677 (4.7868)	Top-1 acc 15.625 (14.742)	Top-5 acc 35.938 (34.019)	lr 0.03185
Warmup Train [17][1010/2134]	Time 0.732 (0.634)	Data 0.002 (0.018)	Loss 4.8753 (4.7867)	Top-1 acc 14.844 (14.745)	Top-5 acc 33.594 (34.026)	lr 0.03184
Warmup Train [17][1020/2134]	Time 0.620 (0.634)	Data 0.003 (0.017)	Loss 4.8902 (4.7869)	Top-1 acc 12.109 (14.743)	Top-5 acc 28.906 (34.017)	lr 0.03183
Warmup Train [17][1030/2134]	Time 0.456 (0.633)	Data 0.002 (0.017)	Loss 4.7949 (4.7872)	Top-1 acc 14.062 (14.746)	Top-5 acc 32.031 (34.013)	lr 0.03182
Warmup Train [17][1040/2134]	Time 0.629 (0.633)	Data 0.002 (0.017)	Loss 4.6610 (4.7869)	Top-1 acc 19.141 (14.747)	Top-5 acc 37.109 (34.011)	lr 0.03181
Warmup Train [17][1050/2134]	Time 0.593 (0.633)	Data 0.002 (0.017)	Loss 4.6867 (4.7864)	Top-1 acc 14.062 (14.755)	Top-5 acc 33.203 (34.015)	lr 0.03180
Warmup Train [17][1060/2134]	Time 0.709 (0.633)	Data 0.002 (0.017)	Loss 4.8263 (4.7860)	Top-1 acc 14.844 (14.762)	Top-5 acc 33.203 (34.029)	lr 0.03179
Warmup Train [17][1070/2134]	Time 0.522 (0.633)	Data 0.002 (0.017)	Loss 4.8413 (4.7863)	Top-1 acc 15.234 (14.758)	Top-5 acc 30.469 (34.021)	lr 0.03178
Warmup Train [17][1080/2134]	Time 0.483 (0.633)	Data 0.002 (0.017)	Loss 4.9619 (4.7861)	Top-1 acc 12.109 (14.756)	Top-5 acc 27.344 (34.023)	lr 0.03177
Warmup Train [17][1090/2134]	Time 0.693 (0.633)	Data 0.003 (0.017)	Loss 4.8144 (4.7858)	Top-1 acc 13.281 (14.756)	Top-5 acc 36.328 (34.032)	lr 0.03177
Warmup Train [17][1100/2134]	Time 0.457 (0.634)	Data 0.002 (0.017)	Loss 4.7924 (4.7853)	Top-1 acc 15.234 (14.770)	Top-5 acc 34.375 (34.047)	lr 0.03176
Warmup Train [17][1110/2134]	Time 0.628 (0.634)	Data 0.002 (0.017)	Loss 4.8271 (4.7853)	Top-1 acc 16.016 (14.761)	Top-5 acc 33.984 (34.033)	lr 0.03175
Warmup Train [17][1120/2134]	Time 0.729 (0.633)	Data 0.002 (0.017)	Loss 4.8416 (4.7851)	Top-1 acc 9.766 (14.757)	Top-5 acc 32.031 (34.040)	lr 0.03174
Warmup Train [17][1130/2134]	Time 0.700 (0.633)	Data 0.002 (0.017)	Loss 4.5386 (4.7846)	Top-1 acc 22.266 (14.773)	Top-5 acc 39.844 (34.057)	lr 0.03173
Warmup Train [17][1140/2134]	Time 0.660 (0.633)	Data 0.002 (0.017)	Loss 4.8102 (4.7844)	Top-1 acc 12.891 (14.777)	Top-5 acc 31.250 (34.062)	lr 0.03172
Warmup Train [17][1150/2134]	Time 0.593 (0.633)	Data 0.002 (0.017)	Loss 4.7798 (4.7840)	Top-1 acc 14.453 (14.781)	Top-5 acc 32.422 (34.071)	lr 0.03171
Warmup Train [17][1160/2134]	Time 0.622 (0.632)	Data 0.002 (0.016)	Loss 4.8194 (4.7837)	Top-1 acc 15.234 (14.797)	Top-5 acc 35.156 (34.083)	lr 0.03170
Warmup Train [17][1170/2134]	Time 0.564 (0.632)	Data 0.002 (0.016)	Loss 4.7295 (4.7837)	Top-1 acc 16.016 (14.797)	Top-5 acc 36.719 (34.089)	lr 0.03170
Warmup Train [17][1180/2134]	Time 0.522 (0.632)	Data 0.002 (0.016)	Loss 4.7924 (4.7835)	Top-1 acc 16.406 (14.795)	Top-5 acc 34.766 (34.091)	lr 0.03169
Warmup Train [17][1190/2134]	Time 0.655 (0.632)	Data 0.002 (0.016)	Loss 4.9084 (4.7836)	Top-1 acc 10.156 (14.789)	Top-5 acc 33.984 (34.092)	lr 0.03168
Warmup Train [17][1200/2134]	Time 0.720 (0.631)	Data 0.002 (0.016)	Loss 4.8463 (4.7833)	Top-1 acc 13.672 (14.790)	Top-5 acc 32.812 (34.096)	lr 0.03167
Warmup Train [17][1210/2134]	Time 0.563 (0.631)	Data 0.002 (0.016)	Loss 4.8078 (4.7829)	Top-1 acc 10.547 (14.792)	Top-5 acc 34.766 (34.108)	lr 0.03166
Warmup Train [17][1220/2134]	Time 0.671 (0.631)	Data 0.002 (0.016)	Loss 4.7010 (4.7828)	Top-1 acc 17.969 (14.791)	Top-5 acc 37.500 (34.117)	lr 0.03165
Warmup Train [17][1230/2134]	Time 0.480 (0.631)	Data 0.003 (0.016)	Loss 4.8515 (4.7828)	Top-1 acc 14.844 (14.796)	Top-5 acc 33.203 (34.123)	lr 0.03164
Warmup Train [17][1240/2134]	Time 0.707 (0.630)	Data 0.002 (0.016)	Loss 4.6945 (4.7826)	Top-1 acc 16.016 (14.801)	Top-5 acc 36.719 (34.134)	lr 0.03163
Warmup Train [17][1250/2134]	Time 0.452 (0.630)	Data 0.002 (0.016)	Loss 4.7542 (4.7822)	Top-1 acc 16.797 (14.804)	Top-5 acc 33.203 (34.151)	lr 0.03162
Warmup Train [17][1260/2134]	Time 0.652 (0.631)	Data 0.002 (0.016)	Loss 4.7670 (4.7823)	Top-1 acc 11.719 (14.799)	Top-5 acc 35.547 (34.152)	lr 0.03162
Warmup Train [17][1270/2134]	Time 0.600 (0.631)	Data 0.002 (0.016)	Loss 4.6918 (4.7824)	Top-1 acc 16.016 (14.794)	Top-5 acc 35.156 (34.146)	lr 0.03161
Warmup Train [17][1280/2134]	Time 0.622 (0.631)	Data 0.002 (0.016)	Loss 4.8889 (4.7825)	Top-1 acc 15.234 (14.794)	Top-5 acc 32.812 (34.152)	lr 0.03160
Warmup Train [17][1290/2134]	Time 0.718 (0.631)	Data 0.002 (0.016)	Loss 4.8100 (4.7827)	Top-1 acc 16.016 (14.790)	Top-5 acc 36.719 (34.149)	lr 0.03159
Warmup Train [17][1300/2134]	Time 0.522 (0.631)	Data 0.002 (0.015)	Loss 4.7153 (4.7826)	Top-1 acc 15.234 (14.790)	Top-5 acc 38.672 (34.149)	lr 0.03158
Warmup Train [17][1310/2134]	Time 0.598 (0.631)	Data 0.002 (0.015)	Loss 4.7908 (4.7825)	Top-1 acc 14.844 (14.800)	Top-5 acc 36.719 (34.158)	lr 0.03157
Warmup Train [17][1320/2134]	Time 0.692 (0.630)	Data 0.003 (0.015)	Loss 4.8447 (4.7824)	Top-1 acc 13.672 (14.804)	Top-5 acc 29.297 (34.162)	lr 0.03156
Warmup Train [17][1330/2134]	Time 0.704 (0.630)	Data 0.002 (0.015)	Loss 4.6851 (4.7823)	Top-1 acc 15.234 (14.808)	Top-5 acc 37.500 (34.172)	lr 0.03155
Warmup Train [17][1340/2134]	Time 0.781 (0.630)	Data 0.002 (0.015)	Loss 4.6511 (4.7822)	Top-1 acc 19.922 (14.813)	Top-5 acc 35.156 (34.176)	lr 0.03154
Warmup Train [17][1350/2134]	Time 0.709 (0.630)	Data 0.002 (0.015)	Loss 4.6856 (4.7816)	Top-1 acc 17.969 (14.820)	Top-5 acc 36.719 (34.187)	lr 0.03154
Warmup Train [17][1360/2134]	Time 0.487 (0.630)	Data 0.002 (0.015)	Loss 4.7075 (4.7811)	Top-1 acc 14.453 (14.830)	Top-5 acc 35.156 (34.198)	lr 0.03153
Warmup Train [17][1370/2134]	Time 0.776 (0.630)	Data 0.002 (0.015)	Loss 4.6491 (4.7809)	Top-1 acc 16.797 (14.833)	Top-5 acc 37.891 (34.202)	lr 0.03152
Warmup Train [17][1380/2134]	Time 0.622 (0.630)	Data 0.002 (0.015)	Loss 4.7215 (4.7807)	Top-1 acc 15.234 (14.832)	Top-5 acc 34.375 (34.208)	lr 0.03151
Warmup Train [17][1390/2134]	Time 0.582 (0.629)	Data 0.002 (0.015)	Loss 4.8339 (4.7809)	Top-1 acc 13.281 (14.832)	Top-5 acc 30.859 (34.205)	lr 0.03150
Warmup Train [17][1400/2134]	Time 0.416 (0.629)	Data 0.002 (0.015)	Loss 4.8112 (4.7809)	Top-1 acc 13.281 (14.830)	Top-5 acc 32.422 (34.203)	lr 0.03149
Warmup Train [17][1410/2134]	Time 0.408 (0.629)	Data 0.002 (0.015)	Loss 4.7474 (4.7810)	Top-1 acc 15.234 (14.824)	Top-5 acc 33.594 (34.200)	lr 0.03148
Warmup Train [17][1420/2134]	Time 0.656 (0.629)	Data 0.002 (0.015)	Loss 4.7336 (4.7812)	Top-1 acc 17.578 (14.825)	Top-5 acc 32.812 (34.193)	lr 0.03147
Warmup Train [17][1430/2134]	Time 0.741 (0.630)	Data 0.002 (0.015)	Loss 4.8680 (4.7813)	Top-1 acc 14.453 (14.822)	Top-5 acc 32.031 (34.196)	lr 0.03146
Warmup Train [17][1440/2134]	Time 0.600 (0.630)	Data 0.002 (0.015)	Loss 4.7215 (4.7810)	Top-1 acc 17.969 (14.833)	Top-5 acc 38.281 (34.204)	lr 0.03146
Warmup Train [17][1450/2134]	Time 0.697 (0.630)	Data 0.004 (0.015)	Loss 4.6222 (4.7810)	Top-1 acc 15.625 (14.830)	Top-5 acc 38.672 (34.203)	lr 0.03145
Warmup Train [17][1460/2134]	Time 0.701 (0.629)	Data 0.002 (0.015)	Loss 4.7293 (4.7808)	Top-1 acc 15.625 (14.834)	Top-5 acc 36.328 (34.212)	lr 0.03144
Warmup Train [17][1470/2134]	Time 0.548 (0.629)	Data 0.002 (0.014)	Loss 4.5221 (4.7804)	Top-1 acc 20.312 (14.842)	Top-5 acc 37.891 (34.215)	lr 0.03143
Warmup Train [17][1480/2134]	Time 0.425 (0.629)	Data 0.003 (0.015)	Loss 4.6427 (4.7802)	Top-1 acc 17.969 (14.843)	Top-5 acc 34.766 (34.215)	lr 0.03142
Warmup Train [17][1490/2134]	Time 0.607 (0.629)	Data 0.002 (0.015)	Loss 4.6084 (4.7805)	Top-1 acc 18.359 (14.835)	Top-5 acc 35.156 (34.209)	lr 0.03141
Warmup Train [17][1500/2134]	Time 0.534 (0.629)	Data 0.002 (0.014)	Loss 4.8049 (4.7804)	Top-1 acc 14.844 (14.839)	Top-5 acc 32.812 (34.212)	lr 0.03140
Warmup Train [17][1510/2134]	Time 0.599 (0.629)	Data 0.003 (0.014)	Loss 4.7289 (4.7801)	Top-1 acc 14.844 (14.845)	Top-5 acc 35.547 (34.221)	lr 0.03139
Warmup Train [17][1520/2134]	Time 0.542 (0.629)	Data 0.002 (0.014)	Loss 4.7145 (4.7802)	Top-1 acc 16.406 (14.848)	Top-5 acc 35.938 (34.220)	lr 0.03138
Warmup Train [17][1530/2134]	Time 0.648 (0.629)	Data 0.002 (0.014)	Loss 4.8410 (4.7801)	Top-1 acc 14.062 (14.852)	Top-5 acc 32.812 (34.217)	lr 0.03138
Warmup Train [17][1540/2134]	Time 0.677 (0.628)	Data 0.003 (0.014)	Loss 4.7642 (4.7802)	Top-1 acc 15.234 (14.849)	Top-5 acc 33.203 (34.211)	lr 0.03137
Warmup Train [17][1550/2134]	Time 0.664 (0.628)	Data 0.002 (0.014)	Loss 5.0340 (4.7803)	Top-1 acc 12.891 (14.850)	Top-5 acc 32.031 (34.214)	lr 0.03136
Warmup Train [17][1560/2134]	Time 0.567 (0.628)	Data 0.002 (0.014)	Loss 4.6439 (4.7801)	Top-1 acc 17.188 (14.850)	Top-5 acc 35.938 (34.211)	lr 0.03135
Warmup Train [17][1570/2134]	Time 0.427 (0.628)	Data 0.002 (0.014)	Loss 4.7660 (4.7801)	Top-1 acc 10.547 (14.846)	Top-5 acc 31.250 (34.215)	lr 0.03134
Warmup Train [17][1580/2134]	Time 0.420 (0.628)	Data 0.002 (0.014)	Loss 4.7184 (4.7798)	Top-1 acc 18.359 (14.858)	Top-5 acc 35.156 (34.228)	lr 0.03133
Warmup Train [17][1590/2134]	Time 0.641 (0.629)	Data 0.002 (0.014)	Loss 4.7771 (4.7798)	Top-1 acc 17.188 (14.857)	Top-5 acc 39.062 (34.228)	lr 0.03132
Warmup Train [17][1600/2134]	Time 0.508 (0.628)	Data 0.002 (0.014)	Loss 4.6286 (4.7795)	Top-1 acc 16.797 (14.864)	Top-5 acc 40.625 (34.239)	lr 0.03131
Warmup Train [17][1610/2134]	Time 0.516 (0.628)	Data 0.002 (0.014)	Loss 4.8702 (4.7796)	Top-1 acc 13.281 (14.867)	Top-5 acc 32.422 (34.237)	lr 0.03130
Warmup Train [17][1620/2134]	Time 0.641 (0.628)	Data 0.002 (0.014)	Loss 4.5604 (4.7792)	Top-1 acc 21.484 (14.875)	Top-5 acc 39.453 (34.241)	lr 0.03130
Warmup Train [17][1630/2134]	Time 0.717 (0.628)	Data 0.002 (0.014)	Loss 4.5958 (4.7791)	Top-1 acc 19.531 (14.879)	Top-5 acc 40.234 (34.246)	lr 0.03129
Warmup Train [17][1640/2134]	Time 0.653 (0.628)	Data 0.002 (0.014)	Loss 4.8518 (4.7792)	Top-1 acc 12.500 (14.874)	Top-5 acc 32.812 (34.243)	lr 0.03128
Warmup Train [17][1650/2134]	Time 0.633 (0.628)	Data 0.002 (0.014)	Loss 4.6473 (4.7788)	Top-1 acc 13.281 (14.878)	Top-5 acc 35.547 (34.250)	lr 0.03127
Warmup Train [17][1660/2134]	Time 0.669 (0.628)	Data 0.002 (0.014)	Loss 4.6471 (4.7787)	Top-1 acc 16.797 (14.876)	Top-5 acc 37.109 (34.257)	lr 0.03126
Warmup Train [17][1670/2134]	Time 0.452 (0.627)	Data 0.002 (0.014)	Loss 4.6171 (4.7783)	Top-1 acc 19.141 (14.875)	Top-5 acc 36.328 (34.265)	lr 0.03125
Warmup Train [17][1680/2134]	Time 0.606 (0.628)	Data 0.002 (0.014)	Loss 4.8035 (4.7785)	Top-1 acc 13.281 (14.870)	Top-5 acc 32.422 (34.261)	lr 0.03124
Warmup Train [17][1690/2134]	Time 0.460 (0.627)	Data 0.002 (0.014)	Loss 4.7703 (4.7781)	Top-1 acc 12.891 (14.874)	Top-5 acc 30.859 (34.267)	lr 0.03123
Warmup Train [17][1700/2134]	Time 0.633 (0.627)	Data 0.003 (0.014)	Loss 4.8313 (4.7778)	Top-1 acc 11.328 (14.880)	Top-5 acc 33.984 (34.271)	lr 0.03122
Warmup Train [17][1710/2134]	Time 0.627 (0.627)	Data 0.002 (0.014)	Loss 4.6500 (4.7781)	Top-1 acc 16.016 (14.877)	Top-5 acc 38.281 (34.264)	lr 0.03122
Warmup Train [17][1720/2134]	Time 0.606 (0.627)	Data 0.002 (0.014)	Loss 4.8131 (4.7783)	Top-1 acc 13.281 (14.875)	Top-5 acc 35.156 (34.262)	lr 0.03121
Warmup Train [17][1730/2134]	Time 0.680 (0.627)	Data 0.002 (0.014)	Loss 4.7220 (4.7782)	Top-1 acc 18.359 (14.875)	Top-5 acc 36.328 (34.261)	lr 0.03120
Warmup Train [17][1740/2134]	Time 0.458 (0.627)	Data 0.002 (0.013)	Loss 4.8073 (4.7781)	Top-1 acc 14.844 (14.879)	Top-5 acc 32.422 (34.266)	lr 0.03119
Warmup Train [17][1750/2134]	Time 0.518 (0.628)	Data 0.002 (0.013)	Loss 4.7787 (4.7781)	Top-1 acc 14.453 (14.884)	Top-5 acc 36.328 (34.269)	lr 0.03118
Warmup Train [17][1760/2134]	Time 0.625 (0.628)	Data 0.025 (0.013)	Loss 4.7226 (4.7778)	Top-1 acc 15.625 (14.891)	Top-5 acc 35.938 (34.279)	lr 0.03117
Warmup Train [17][1770/2134]	Time 0.498 (0.628)	Data 0.002 (0.013)	Loss 4.8119 (4.7779)	Top-1 acc 14.844 (14.891)	Top-5 acc 35.156 (34.279)	lr 0.03116
Warmup Train [17][1780/2134]	Time 0.673 (0.628)	Data 0.003 (0.013)	Loss 4.5938 (4.7779)	Top-1 acc 19.531 (14.892)	Top-5 acc 39.453 (34.279)	lr 0.03115
Warmup Train [17][1790/2134]	Time 0.480 (0.628)	Data 0.003 (0.013)	Loss 4.8531 (4.7779)	Top-1 acc 14.062 (14.892)	Top-5 acc 33.594 (34.278)	lr 0.03114
Warmup Train [17][1800/2134]	Time 0.719 (0.627)	Data 0.002 (0.013)	Loss 4.8503 (4.7779)	Top-1 acc 11.328 (14.888)	Top-5 acc 30.859 (34.276)	lr 0.03114
Warmup Train [17][1810/2134]	Time 0.603 (0.627)	Data 0.002 (0.013)	Loss 4.7123 (4.7780)	Top-1 acc 18.750 (14.893)	Top-5 acc 36.328 (34.280)	lr 0.03113
Warmup Train [17][1820/2134]	Time 0.707 (0.627)	Data 0.003 (0.013)	Loss 4.6830 (4.7779)	Top-1 acc 13.672 (14.892)	Top-5 acc 33.594 (34.281)	lr 0.03112
Warmup Train [17][1830/2134]	Time 0.616 (0.627)	Data 0.003 (0.013)	Loss 4.8279 (4.7777)	Top-1 acc 14.062 (14.894)	Top-5 acc 33.594 (34.292)	lr 0.03111
Warmup Train [17][1840/2134]	Time 0.593 (0.627)	Data 0.004 (0.013)	Loss 4.5907 (4.7776)	Top-1 acc 18.359 (14.895)	Top-5 acc 37.109 (34.299)	lr 0.03110
Warmup Train [17][1850/2134]	Time 0.572 (0.627)	Data 0.002 (0.013)	Loss 4.7361 (4.7776)	Top-1 acc 17.188 (14.893)	Top-5 acc 35.938 (34.297)	lr 0.03109
Warmup Train [17][1860/2134]	Time 0.502 (0.627)	Data 0.002 (0.013)	Loss 4.8179 (4.7778)	Top-1 acc 14.453 (14.893)	Top-5 acc 32.031 (34.294)	lr 0.03108
Warmup Train [17][1870/2134]	Time 0.639 (0.627)	Data 0.002 (0.013)	Loss 4.5815 (4.7776)	Top-1 acc 21.484 (14.898)	Top-5 acc 37.109 (34.297)	lr 0.03107
Warmup Train [17][1880/2134]	Time 0.624 (0.627)	Data 0.002 (0.013)	Loss 4.8606 (4.7774)	Top-1 acc 14.453 (14.905)	Top-5 acc 37.109 (34.309)	lr 0.03106
Warmup Train [17][1890/2134]	Time 0.583 (0.627)	Data 0.002 (0.013)	Loss 4.7770 (4.7772)	Top-1 acc 15.625 (14.913)	Top-5 acc 35.156 (34.310)	lr 0.03105
Warmup Train [17][1900/2134]	Time 0.662 (0.627)	Data 0.002 (0.013)	Loss 4.7295 (4.7771)	Top-1 acc 17.188 (14.916)	Top-5 acc 37.109 (34.315)	lr 0.03105
Warmup Train [17][1910/2134]	Time 0.629 (0.628)	Data 0.002 (0.013)	Loss 4.7622 (4.7770)	Top-1 acc 17.969 (14.917)	Top-5 acc 35.547 (34.315)	lr 0.03104
Warmup Train [17][1920/2134]	Time 0.527 (0.628)	Data 0.002 (0.013)	Loss 4.9313 (4.7771)	Top-1 acc 11.328 (14.921)	Top-5 acc 28.906 (34.313)	lr 0.03103
Warmup Train [17][1930/2134]	Time 0.400 (0.627)	Data 0.005 (0.013)	Loss 4.8025 (4.7771)	Top-1 acc 16.016 (14.922)	Top-5 acc 36.328 (34.316)	lr 0.03102
Warmup Train [17][1940/2134]	Time 0.725 (0.627)	Data 0.002 (0.013)	Loss 4.8394 (4.7771)	Top-1 acc 12.891 (14.922)	Top-5 acc 39.453 (34.321)	lr 0.03101
Warmup Train [17][1950/2134]	Time 0.515 (0.627)	Data 0.002 (0.013)	Loss 4.8168 (4.7769)	Top-1 acc 12.891 (14.921)	Top-5 acc 32.812 (34.326)	lr 0.03100
Warmup Train [17][1960/2134]	Time 0.700 (0.627)	Data 0.002 (0.013)	Loss 4.8554 (4.7768)	Top-1 acc 14.453 (14.925)	Top-5 acc 32.422 (34.330)	lr 0.03099
Warmup Train [17][1970/2134]	Time 0.678 (0.627)	Data 0.002 (0.013)	Loss 4.7308 (4.7766)	Top-1 acc 17.578 (14.929)	Top-5 acc 35.156 (34.332)	lr 0.03098
Warmup Train [17][1980/2134]	Time 0.556 (0.627)	Data 0.002 (0.013)	Loss 4.7521 (4.7765)	Top-1 acc 15.234 (14.931)	Top-5 acc 32.422 (34.333)	lr 0.03097
Warmup Train [17][1990/2134]	Time 0.532 (0.627)	Data 0.002 (0.013)	Loss 4.5753 (4.7764)	Top-1 acc 16.016 (14.927)	Top-5 acc 39.062 (34.337)	lr 0.03097
Warmup Train [17][2000/2134]	Time 0.477 (0.627)	Data 0.006 (0.013)	Loss 4.8118 (4.7762)	Top-1 acc 14.062 (14.932)	Top-5 acc 34.766 (34.347)	lr 0.03096
Warmup Train [17][2010/2134]	Time 0.549 (0.627)	Data 0.002 (0.013)	Loss 4.6699 (4.7760)	Top-1 acc 14.453 (14.930)	Top-5 acc 36.719 (34.345)	lr 0.03095
Warmup Train [17][2020/2134]	Time 0.585 (0.627)	Data 0.002 (0.013)	Loss 4.8198 (4.7758)	Top-1 acc 13.281 (14.935)	Top-5 acc 35.156 (34.358)	lr 0.03094
Warmup Train [17][2030/2134]	Time 0.727 (0.627)	Data 0.002 (0.013)	Loss 4.7283 (4.7758)	Top-1 acc 17.188 (14.935)	Top-5 acc 35.156 (34.358)	lr 0.03093
Warmup Train [17][2040/2134]	Time 0.741 (0.627)	Data 0.002 (0.013)	Loss 4.9459 (4.7759)	Top-1 acc 14.844 (14.935)	Top-5 acc 28.906 (34.352)	lr 0.03092
Warmup Train [17][2050/2134]	Time 0.694 (0.627)	Data 0.002 (0.013)	Loss 4.7059 (4.7758)	Top-1 acc 12.109 (14.932)	Top-5 acc 32.422 (34.350)	lr 0.03091
Warmup Train [17][2060/2134]	Time 0.533 (0.626)	Data 0.002 (0.013)	Loss 4.7305 (4.7754)	Top-1 acc 14.453 (14.938)	Top-5 acc 32.422 (34.360)	lr 0.03090
Warmup Train [17][2070/2134]	Time 2.348 (0.627)	Data 0.002 (0.013)	Loss 4.7786 (4.7754)	Top-1 acc 13.672 (14.940)	Top-5 acc 36.719 (34.364)	lr 0.03089
Warmup Train [17][2080/2134]	Time 0.583 (0.627)	Data 0.000 (0.013)	Loss 4.7595 (4.7753)	Top-1 acc 16.016 (14.939)	Top-5 acc 32.422 (34.363)	lr 0.03089
Warmup Train [17][2090/2134]	Time 0.695 (0.627)	Data 0.000 (0.012)	Loss 4.7993 (4.7752)	Top-1 acc 14.062 (14.937)	Top-5 acc 32.422 (34.360)	lr 0.03088
Warmup Train [17][2100/2134]	Time 0.597 (0.627)	Data 0.000 (0.012)	Loss 4.7118 (4.7752)	Top-1 acc 14.062 (14.932)	Top-5 acc 35.547 (34.361)	lr 0.03087
Warmup Train [17][2110/2134]	Time 0.622 (0.627)	Data 0.000 (0.012)	Loss 4.6065 (4.7748)	Top-1 acc 16.406 (14.937)	Top-5 acc 36.328 (34.374)	lr 0.03086
Warmup Train [17][2120/2134]	Time 0.575 (0.626)	Data 0.000 (0.012)	Loss 4.7493 (4.7746)	Top-1 acc 17.188 (14.938)	Top-5 acc 36.719 (34.379)	lr 0.03085
Warmup Train [17][2130/2134]	Time 0.636 (0.626)	Data 0.000 (0.012)	Loss 4.8097 (4.7747)	Top-1 acc 12.891 (14.939)	Top-5 acc 31.641 (34.377)	lr 0.03084
Warmup Train [17][2134/2134]	Time 0.674 (0.626)	Data 0.000 (0.012)	Loss 4.7202 (4.7747)	Top-1 acc 14.439 (14.940)	Top-5 acc 31.016 (34.375)	lr 0.03084
==========Warmup Valid [17/40]	loss 3.936	top-1 acc 20.423	top-5 acc 42.910	Train top-1 14.940	top-5 34.375	flops: 442.4M
Warmup Train [18][0/2134]	Time 12.440 (12.440)	Data 10.140 (10.140)	Loss 4.6688 (4.6688)	Top-1 acc 15.234 (15.234)	Top-5 acc 35.547 (35.547)	lr 0.03084
Warmup Train [18][10/2134]	Time 0.649 (1.838)	Data 0.005 (0.925)	Loss 4.5938 (4.7092)	Top-1 acc 17.188 (15.767)	Top-5 acc 35.156 (35.689)	lr 0.03083
Warmup Train [18][20/2134]	Time 0.663 (1.256)	Data 0.002 (0.486)	Loss 4.8427 (4.7213)	Top-1 acc 14.844 (15.755)	Top-5 acc 36.328 (35.844)	lr 0.03082
Warmup Train [18][30/2134]	Time 0.573 (1.044)	Data 0.002 (0.330)	Loss 4.8056 (4.7185)	Top-1 acc 16.406 (15.789)	Top-5 acc 33.984 (35.837)	lr 0.03081
Warmup Train [18][40/2134]	Time 0.726 (0.946)	Data 0.003 (0.251)	Loss 4.7119 (4.7284)	Top-1 acc 14.062 (15.749)	Top-5 acc 34.766 (35.623)	lr 0.03080
Warmup Train [18][50/2134]	Time 0.634 (0.877)	Data 0.002 (0.202)	Loss 4.5786 (4.7245)	Top-1 acc 17.578 (15.832)	Top-5 acc 37.109 (35.600)	lr 0.03079
Warmup Train [18][60/2134]	Time 0.564 (0.835)	Data 0.002 (0.170)	Loss 4.5952 (4.7361)	Top-1 acc 17.188 (15.676)	Top-5 acc 39.844 (35.387)	lr 0.03078
Warmup Train [18][70/2134]	Time 0.658 (0.807)	Data 0.002 (0.147)	Loss 4.7917 (4.7283)	Top-1 acc 16.016 (15.768)	Top-5 acc 36.719 (35.712)	lr 0.03077
Warmup Train [18][80/2134]	Time 0.478 (0.807)	Data 0.002 (0.130)	Loss 4.9219 (4.7326)	Top-1 acc 13.672 (15.717)	Top-5 acc 32.422 (35.643)	lr 0.03076
Warmup Train [18][90/2134]	Time 0.628 (0.787)	Data 0.002 (0.117)	Loss 4.6154 (4.7343)	Top-1 acc 17.969 (15.664)	Top-5 acc 38.281 (35.689)	lr 0.03076
Warmup Train [18][100/2134]	Time 0.591 (0.770)	Data 0.002 (0.105)	Loss 4.7489 (4.7389)	Top-1 acc 13.672 (15.687)	Top-5 acc 38.281 (35.733)	lr 0.03075
Warmup Train [18][110/2134]	Time 0.631 (0.756)	Data 0.002 (0.096)	Loss 4.7539 (4.7393)	Top-1 acc 17.188 (15.653)	Top-5 acc 37.891 (35.740)	lr 0.03074
Warmup Train [18][120/2134]	Time 0.441 (0.742)	Data 0.002 (0.088)	Loss 4.8368 (4.7392)	Top-1 acc 17.188 (15.748)	Top-5 acc 35.547 (35.747)	lr 0.03073
Warmup Train [18][130/2134]	Time 0.457 (0.733)	Data 0.002 (0.083)	Loss 4.7333 (4.7410)	Top-1 acc 17.578 (15.682)	Top-5 acc 35.547 (35.618)	lr 0.03072
Warmup Train [18][140/2134]	Time 0.582 (0.724)	Data 0.004 (0.078)	Loss 4.6441 (4.7383)	Top-1 acc 16.797 (15.672)	Top-5 acc 38.281 (35.613)	lr 0.03071
Warmup Train [18][150/2134]	Time 0.810 (0.714)	Data 0.002 (0.074)	Loss 4.7836 (4.7382)	Top-1 acc 18.359 (15.710)	Top-5 acc 37.500 (35.645)	lr 0.03070
Warmup Train [18][160/2134]	Time 0.549 (0.707)	Data 0.002 (0.069)	Loss 4.7593 (4.7363)	Top-1 acc 16.797 (15.741)	Top-5 acc 35.156 (35.668)	lr 0.03069
Warmup Train [18][170/2134]	Time 0.500 (0.702)	Data 0.002 (0.066)	Loss 4.7251 (4.7336)	Top-1 acc 18.359 (15.792)	Top-5 acc 34.375 (35.775)	lr 0.03068
Warmup Train [18][180/2134]	Time 0.687 (0.698)	Data 0.002 (0.063)	Loss 4.6103 (4.7346)	Top-1 acc 17.969 (15.780)	Top-5 acc 39.062 (35.761)	lr 0.03068
Warmup Train [18][190/2134]	Time 0.666 (0.694)	Data 0.002 (0.060)	Loss 4.6752 (4.7363)	Top-1 acc 17.578 (15.723)	Top-5 acc 38.672 (35.708)	lr 0.03067
Warmup Train [18][200/2134]	Time 0.614 (0.691)	Data 0.003 (0.057)	Loss 4.8124 (4.7357)	Top-1 acc 17.578 (15.751)	Top-5 acc 33.203 (35.718)	lr 0.03066
Warmup Train [18][210/2134]	Time 0.666 (0.687)	Data 0.002 (0.055)	Loss 4.7308 (4.7371)	Top-1 acc 16.797 (15.745)	Top-5 acc 34.766 (35.662)	lr 0.03065
Warmup Train [18][220/2134]	Time 0.644 (0.685)	Data 0.002 (0.052)	Loss 4.8003 (4.7365)	Top-1 acc 14.844 (15.761)	Top-5 acc 34.766 (35.632)	lr 0.03064
Warmup Train [18][230/2134]	Time 0.669 (0.682)	Data 0.003 (0.050)	Loss 5.0600 (4.7408)	Top-1 acc 11.719 (15.696)	Top-5 acc 23.438 (35.542)	lr 0.03063
Warmup Train [18][240/2134]	Time 0.458 (0.679)	Data 0.002 (0.048)	Loss 4.7997 (4.7401)	Top-1 acc 12.109 (15.680)	Top-5 acc 33.984 (35.573)	lr 0.03062
Warmup Train [18][250/2134]	Time 0.629 (0.684)	Data 0.002 (0.047)	Loss 4.6951 (4.7399)	Top-1 acc 15.234 (15.641)	Top-5 acc 34.766 (35.545)	lr 0.03061
Warmup Train [18][260/2134]	Time 0.510 (0.681)	Data 0.002 (0.045)	Loss 4.8535 (4.7389)	Top-1 acc 14.062 (15.700)	Top-5 acc 33.203 (35.541)	lr 0.03060
Warmup Train [18][270/2134]	Time 0.684 (0.680)	Data 0.002 (0.044)	Loss 4.6199 (4.7368)	Top-1 acc 17.188 (15.690)	Top-5 acc 41.016 (35.605)	lr 0.03059
Warmup Train [18][280/2134]	Time 0.601 (0.678)	Data 0.002 (0.043)	Loss 4.7304 (4.7359)	Top-1 acc 16.016 (15.676)	Top-5 acc 34.766 (35.589)	lr 0.03059
Warmup Train [18][290/2134]	Time 0.635 (0.675)	Data 0.002 (0.041)	Loss 4.6025 (4.7365)	Top-1 acc 17.969 (15.673)	Top-5 acc 41.797 (35.559)	lr 0.03058
Warmup Train [18][300/2134]	Time 0.731 (0.673)	Data 0.002 (0.040)	Loss 4.7318 (4.7371)	Top-1 acc 16.797 (15.661)	Top-5 acc 39.062 (35.505)	lr 0.03057
Warmup Train [18][310/2134]	Time 0.730 (0.672)	Data 0.003 (0.039)	Loss 4.7384 (4.7392)	Top-1 acc 16.016 (15.635)	Top-5 acc 34.766 (35.400)	lr 0.03056
Warmup Train [18][320/2134]	Time 0.687 (0.669)	Data 0.002 (0.038)	Loss 4.8582 (4.7392)	Top-1 acc 16.797 (15.675)	Top-5 acc 34.766 (35.395)	lr 0.03055
Warmup Train [18][330/2134]	Time 0.554 (0.667)	Data 0.002 (0.037)	Loss 4.6304 (4.7405)	Top-1 acc 15.625 (15.643)	Top-5 acc 38.672 (35.367)	lr 0.03054
Warmup Train [18][340/2134]	Time 0.620 (0.665)	Data 0.002 (0.036)	Loss 4.7691 (4.7413)	Top-1 acc 14.453 (15.644)	Top-5 acc 36.328 (35.364)	lr 0.03053
Warmup Train [18][350/2134]	Time 0.710 (0.663)	Data 0.002 (0.035)	Loss 4.7656 (4.7413)	Top-1 acc 15.625 (15.674)	Top-5 acc 37.109 (35.392)	lr 0.03052
Warmup Train [18][360/2134]	Time 0.672 (0.663)	Data 0.003 (0.034)	Loss 4.6889 (4.7414)	Top-1 acc 18.750 (15.686)	Top-5 acc 39.062 (35.374)	lr 0.03051
Warmup Train [18][370/2134]	Time 0.528 (0.661)	Data 0.002 (0.034)	Loss 4.7761 (4.7423)	Top-1 acc 11.328 (15.663)	Top-5 acc 34.375 (35.349)	lr 0.03050
Warmup Train [18][380/2134]	Time 0.591 (0.660)	Data 0.002 (0.033)	Loss 4.6631 (4.7410)	Top-1 acc 16.406 (15.668)	Top-5 acc 39.062 (35.403)	lr 0.03050
Warmup Train [18][390/2134]	Time 0.598 (0.659)	Data 0.002 (0.032)	Loss 4.7494 (4.7402)	Top-1 acc 16.797 (15.683)	Top-5 acc 38.672 (35.446)	lr 0.03049
Warmup Train [18][400/2134]	Time 0.591 (0.658)	Data 0.002 (0.032)	Loss 4.6795 (4.7411)	Top-1 acc 14.453 (15.666)	Top-5 acc 36.719 (35.401)	lr 0.03048
Warmup Train [18][410/2134]	Time 2.327 (0.661)	Data 0.002 (0.031)	Loss 4.6848 (4.7413)	Top-1 acc 13.672 (15.635)	Top-5 acc 35.547 (35.408)	lr 0.03047
Warmup Train [18][420/2134]	Time 0.668 (0.660)	Data 0.002 (0.030)	Loss 4.8725 (4.7402)	Top-1 acc 12.109 (15.609)	Top-5 acc 35.156 (35.439)	lr 0.03046
Warmup Train [18][430/2134]	Time 0.697 (0.658)	Data 0.002 (0.030)	Loss 4.6574 (4.7408)	Top-1 acc 18.750 (15.611)	Top-5 acc 37.891 (35.433)	lr 0.03045
Warmup Train [18][440/2134]	Time 0.562 (0.657)	Data 0.002 (0.029)	Loss 4.7396 (4.7407)	Top-1 acc 15.234 (15.596)	Top-5 acc 37.109 (35.428)	lr 0.03044
Warmup Train [18][450/2134]	Time 0.596 (0.657)	Data 0.002 (0.029)	Loss 4.8085 (4.7411)	Top-1 acc 17.578 (15.597)	Top-5 acc 34.375 (35.420)	lr 0.03043
Warmup Train [18][460/2134]	Time 0.626 (0.656)	Data 0.002 (0.028)	Loss 5.0554 (4.7419)	Top-1 acc 11.328 (15.572)	Top-5 acc 27.734 (35.414)	lr 0.03042
Warmup Train [18][470/2134]	Time 0.773 (0.655)	Data 0.002 (0.027)	Loss 4.7146 (4.7413)	Top-1 acc 15.625 (15.578)	Top-5 acc 35.938 (35.427)	lr 0.03041
Warmup Train [18][480/2134]	Time 0.453 (0.654)	Data 0.003 (0.027)	Loss 4.5464 (4.7401)	Top-1 acc 16.016 (15.578)	Top-5 acc 33.984 (35.445)	lr 0.03041
Warmup Train [18][490/2134]	Time 0.617 (0.653)	Data 0.002 (0.027)	Loss 4.8135 (4.7402)	Top-1 acc 12.109 (15.557)	Top-5 acc 32.422 (35.419)	lr 0.03040
Warmup Train [18][500/2134]	Time 0.501 (0.652)	Data 0.004 (0.026)	Loss 4.6052 (4.7398)	Top-1 acc 17.578 (15.584)	Top-5 acc 37.500 (35.416)	lr 0.03039
Warmup Train [18][510/2134]	Time 0.348 (0.651)	Data 0.002 (0.026)	Loss 4.7034 (4.7397)	Top-1 acc 16.016 (15.602)	Top-5 acc 37.500 (35.429)	lr 0.03038
Warmup Train [18][520/2134]	Time 0.653 (0.651)	Data 0.002 (0.026)	Loss 4.6659 (4.7399)	Top-1 acc 17.969 (15.612)	Top-5 acc 35.156 (35.428)	lr 0.03037
Warmup Train [18][530/2134]	Time 0.659 (0.651)	Data 0.002 (0.025)	Loss 4.7384 (4.7390)	Top-1 acc 13.281 (15.612)	Top-5 acc 35.938 (35.458)	lr 0.03036
Warmup Train [18][540/2134]	Time 0.446 (0.649)	Data 0.002 (0.025)	Loss 4.7020 (4.7373)	Top-1 acc 16.016 (15.630)	Top-5 acc 34.375 (35.490)	lr 0.03035
Warmup Train [18][550/2134]	Time 0.606 (0.648)	Data 0.002 (0.025)	Loss 4.8271 (4.7378)	Top-1 acc 12.891 (15.604)	Top-5 acc 34.766 (35.470)	lr 0.03034
Warmup Train [18][560/2134]	Time 0.569 (0.648)	Data 0.002 (0.024)	Loss 4.9075 (4.7378)	Top-1 acc 11.328 (15.611)	Top-5 acc 30.078 (35.477)	lr 0.03033
Warmup Train [18][570/2134]	Time 0.835 (0.647)	Data 0.003 (0.024)	Loss 4.6050 (4.7372)	Top-1 acc 14.844 (15.633)	Top-5 acc 35.547 (35.484)	lr 0.03033
Warmup Train [18][580/2134]	Time 0.754 (0.649)	Data 0.002 (0.024)	Loss 4.6090 (4.7370)	Top-1 acc 14.844 (15.618)	Top-5 acc 40.234 (35.485)	lr 0.03032
Warmup Train [18][590/2134]	Time 0.693 (0.649)	Data 0.002 (0.023)	Loss 4.7594 (4.7364)	Top-1 acc 17.969 (15.638)	Top-5 acc 35.547 (35.498)	lr 0.03031
Warmup Train [18][600/2134]	Time 0.537 (0.648)	Data 0.002 (0.023)	Loss 4.5999 (4.7356)	Top-1 acc 21.094 (15.657)	Top-5 acc 41.797 (35.522)	lr 0.03030
Warmup Train [18][610/2134]	Time 0.646 (0.648)	Data 0.002 (0.023)	Loss 4.6180 (4.7349)	Top-1 acc 14.844 (15.656)	Top-5 acc 35.156 (35.539)	lr 0.03029
Warmup Train [18][620/2134]	Time 0.599 (0.646)	Data 0.002 (0.023)	Loss 4.5986 (4.7350)	Top-1 acc 16.797 (15.655)	Top-5 acc 37.500 (35.530)	lr 0.03028
Warmup Train [18][630/2134]	Time 0.582 (0.646)	Data 0.002 (0.022)	Loss 4.8640 (4.7348)	Top-1 acc 11.328 (15.644)	Top-5 acc 31.250 (35.530)	lr 0.03027
Warmup Train [18][640/2134]	Time 0.593 (0.646)	Data 0.002 (0.022)	Loss 4.7650 (4.7356)	Top-1 acc 16.016 (15.618)	Top-5 acc 35.938 (35.505)	lr 0.03026
Warmup Train [18][650/2134]	Time 0.598 (0.645)	Data 0.002 (0.022)	Loss 4.7815 (4.7357)	Top-1 acc 15.234 (15.623)	Top-5 acc 33.594 (35.515)	lr 0.03025
Warmup Train [18][660/2134]	Time 0.748 (0.645)	Data 0.002 (0.022)	Loss 4.7683 (4.7358)	Top-1 acc 15.234 (15.617)	Top-5 acc 32.812 (35.503)	lr 0.03024
Warmup Train [18][670/2134]	Time 0.440 (0.644)	Data 0.002 (0.021)	Loss 4.6929 (4.7359)	Top-1 acc 13.281 (15.622)	Top-5 acc 35.156 (35.499)	lr 0.03024
Warmup Train [18][680/2134]	Time 0.639 (0.644)	Data 0.002 (0.021)	Loss 4.6086 (4.7353)	Top-1 acc 14.062 (15.620)	Top-5 acc 35.938 (35.512)	lr 0.03023
Warmup Train [18][690/2134]	Time 0.557 (0.643)	Data 0.003 (0.021)	Loss 4.6807 (4.7352)	Top-1 acc 16.797 (15.611)	Top-5 acc 37.891 (35.521)	lr 0.03022
Warmup Train [18][700/2134]	Time 0.668 (0.643)	Data 0.004 (0.021)	Loss 4.5378 (4.7345)	Top-1 acc 19.141 (15.624)	Top-5 acc 42.188 (35.528)	lr 0.03021
Warmup Train [18][710/2134]	Time 0.778 (0.642)	Data 0.002 (0.021)	Loss 4.7525 (4.7339)	Top-1 acc 15.234 (15.649)	Top-5 acc 37.891 (35.542)	lr 0.03020
Warmup Train [18][720/2134]	Time 0.623 (0.641)	Data 0.002 (0.020)	Loss 4.7123 (4.7343)	Top-1 acc 13.281 (15.646)	Top-5 acc 33.203 (35.528)	lr 0.03019
Warmup Train [18][730/2134]	Time 0.716 (0.641)	Data 0.003 (0.020)	Loss 4.6887 (4.7335)	Top-1 acc 17.188 (15.649)	Top-5 acc 41.016 (35.552)	lr 0.03018
Warmup Train [18][740/2134]	Time 0.335 (0.640)	Data 0.002 (0.020)	Loss 4.7735 (4.7334)	Top-1 acc 14.844 (15.659)	Top-5 acc 36.328 (35.562)	lr 0.03017
Warmup Train [18][750/2134]	Time 0.453 (0.641)	Data 0.002 (0.020)	Loss 4.8176 (4.7337)	Top-1 acc 17.188 (15.654)	Top-5 acc 34.766 (35.549)	lr 0.03016
Warmup Train [18][760/2134]	Time 0.636 (0.641)	Data 0.002 (0.020)	Loss 4.6260 (4.7333)	Top-1 acc 18.750 (15.654)	Top-5 acc 37.500 (35.558)	lr 0.03015
Warmup Train [18][770/2134]	Time 0.561 (0.641)	Data 0.002 (0.020)	Loss 4.7879 (4.7331)	Top-1 acc 14.844 (15.657)	Top-5 acc 33.594 (35.563)	lr 0.03015
Warmup Train [18][780/2134]	Time 0.614 (0.640)	Data 0.002 (0.019)	Loss 4.8306 (4.7334)	Top-1 acc 14.453 (15.654)	Top-5 acc 35.156 (35.561)	lr 0.03014
Warmup Train [18][790/2134]	Time 0.629 (0.640)	Data 0.002 (0.019)	Loss 4.6107 (4.7338)	Top-1 acc 15.625 (15.660)	Top-5 acc 39.453 (35.562)	lr 0.03013
Warmup Train [18][800/2134]	Time 0.696 (0.640)	Data 0.002 (0.019)	Loss 4.7253 (4.7332)	Top-1 acc 15.625 (15.675)	Top-5 acc 38.281 (35.582)	lr 0.03012
Warmup Train [18][810/2134]	Time 0.643 (0.640)	Data 0.002 (0.019)	Loss 4.8268 (4.7337)	Top-1 acc 14.844 (15.671)	Top-5 acc 33.203 (35.574)	lr 0.03011
Warmup Train [18][820/2134]	Time 0.653 (0.639)	Data 0.002 (0.019)	Loss 4.8022 (4.7333)	Top-1 acc 12.891 (15.674)	Top-5 acc 33.203 (35.579)	lr 0.03010
Warmup Train [18][830/2134]	Time 0.584 (0.639)	Data 0.004 (0.019)	Loss 4.7531 (4.7332)	Top-1 acc 13.672 (15.673)	Top-5 acc 33.594 (35.585)	lr 0.03009
Warmup Train [18][840/2134]	Time 0.666 (0.639)	Data 0.002 (0.018)	Loss 4.7498 (4.7335)	Top-1 acc 15.625 (15.659)	Top-5 acc 34.766 (35.573)	lr 0.03008
Warmup Train [18][850/2134]	Time 0.754 (0.638)	Data 0.002 (0.018)	Loss 4.6608 (4.7332)	Top-1 acc 12.891 (15.656)	Top-5 acc 35.156 (35.585)	lr 0.03007
Warmup Train [18][860/2134]	Time 0.560 (0.638)	Data 0.002 (0.018)	Loss 4.8209 (4.7331)	Top-1 acc 15.625 (15.669)	Top-5 acc 32.812 (35.594)	lr 0.03006
Warmup Train [18][870/2134]	Time 0.633 (0.638)	Data 0.002 (0.018)	Loss 4.7847 (4.7333)	Top-1 acc 17.188 (15.674)	Top-5 acc 34.375 (35.583)	lr 0.03006
Warmup Train [18][880/2134]	Time 0.679 (0.637)	Data 0.002 (0.018)	Loss 4.6134 (4.7329)	Top-1 acc 17.578 (15.687)	Top-5 acc 35.547 (35.585)	lr 0.03005
Warmup Train [18][890/2134]	Time 0.488 (0.637)	Data 0.002 (0.018)	Loss 4.7678 (4.7326)	Top-1 acc 17.188 (15.694)	Top-5 acc 30.859 (35.596)	lr 0.03004
Warmup Train [18][900/2134]	Time 0.515 (0.637)	Data 0.002 (0.018)	Loss 4.5363 (4.7320)	Top-1 acc 20.312 (15.701)	Top-5 acc 39.062 (35.611)	lr 0.03003
Warmup Train [18][910/2134]	Time 0.600 (0.636)	Data 0.002 (0.018)	Loss 4.7063 (4.7315)	Top-1 acc 15.234 (15.707)	Top-5 acc 37.500 (35.629)	lr 0.03002
Warmup Train [18][920/2134]	Time 0.543 (0.638)	Data 0.003 (0.018)	Loss 4.5597 (4.7304)	Top-1 acc 16.406 (15.715)	Top-5 acc 33.984 (35.657)	lr 0.03001
Warmup Train [18][930/2134]	Time 0.692 (0.638)	Data 0.002 (0.018)	Loss 4.8072 (4.7304)	Top-1 acc 16.016 (15.713)	Top-5 acc 34.766 (35.663)	lr 0.03000
Warmup Train [18][940/2134]	Time 0.646 (0.637)	Data 0.002 (0.017)	Loss 4.5934 (4.7299)	Top-1 acc 18.750 (15.730)	Top-5 acc 35.938 (35.659)	lr 0.02999
Warmup Train [18][950/2134]	Time 0.424 (0.637)	Data 0.002 (0.017)	Loss 4.8116 (4.7305)	Top-1 acc 15.625 (15.723)	Top-5 acc 31.250 (35.640)	lr 0.02998
Warmup Train [18][960/2134]	Time 0.619 (0.637)	Data 0.002 (0.017)	Loss 4.6472 (4.7296)	Top-1 acc 17.969 (15.741)	Top-5 acc 39.062 (35.665)	lr 0.02997
Warmup Train [18][970/2134]	Time 0.670 (0.637)	Data 0.002 (0.017)	Loss 4.6787 (4.7295)	Top-1 acc 15.625 (15.744)	Top-5 acc 34.375 (35.662)	lr 0.02997
Warmup Train [18][980/2134]	Time 0.568 (0.636)	Data 0.002 (0.017)	Loss 4.6135 (4.7295)	Top-1 acc 19.141 (15.738)	Top-5 acc 36.719 (35.657)	lr 0.02996
Warmup Train [18][990/2134]	Time 0.551 (0.636)	Data 0.003 (0.017)	Loss 4.8001 (4.7293)	Top-1 acc 12.500 (15.729)	Top-5 acc 35.547 (35.670)	lr 0.02995
Warmup Train [18][1000/2134]	Time 0.698 (0.636)	Data 0.002 (0.017)	Loss 4.6316 (4.7291)	Top-1 acc 16.797 (15.731)	Top-5 acc 37.891 (35.671)	lr 0.02994
Warmup Train [18][1010/2134]	Time 0.731 (0.636)	Data 0.002 (0.017)	Loss 4.5585 (4.7295)	Top-1 acc 18.359 (15.723)	Top-5 acc 42.188 (35.663)	lr 0.02993
Warmup Train [18][1020/2134]	Time 0.718 (0.636)	Data 0.002 (0.017)	Loss 4.7486 (4.7294)	Top-1 acc 13.281 (15.720)	Top-5 acc 31.641 (35.648)	lr 0.02992
Warmup Train [18][1030/2134]	Time 0.772 (0.636)	Data 0.003 (0.016)	Loss 4.7573 (4.7293)	Top-1 acc 14.453 (15.724)	Top-5 acc 34.375 (35.647)	lr 0.02991
Warmup Train [18][1040/2134]	Time 0.667 (0.635)	Data 0.002 (0.016)	Loss 4.8287 (4.7300)	Top-1 acc 17.188 (15.724)	Top-5 acc 36.328 (35.638)	lr 0.02990
Warmup Train [18][1050/2134]	Time 0.639 (0.635)	Data 0.002 (0.016)	Loss 4.5116 (4.7297)	Top-1 acc 21.875 (15.729)	Top-5 acc 41.016 (35.648)	lr 0.02989
Warmup Train [18][1060/2134]	Time 0.746 (0.635)	Data 0.002 (0.016)	Loss 4.7885 (4.7300)	Top-1 acc 12.500 (15.731)	Top-5 acc 33.594 (35.637)	lr 0.02988
Warmup Train [18][1070/2134]	Time 0.623 (0.635)	Data 0.003 (0.016)	Loss 4.8961 (4.7306)	Top-1 acc 12.891 (15.717)	Top-5 acc 28.516 (35.626)	lr 0.02988
Warmup Train [18][1080/2134]	Time 0.651 (0.635)	Data 0.002 (0.016)	Loss 4.5627 (4.7302)	Top-1 acc 17.578 (15.728)	Top-5 acc 39.453 (35.640)	lr 0.02987
Warmup Train [18][1090/2134]	Time 0.647 (0.636)	Data 0.002 (0.016)	Loss 4.7312 (4.7300)	Top-1 acc 15.234 (15.732)	Top-5 acc 35.938 (35.645)	lr 0.02986
Warmup Train [18][1100/2134]	Time 0.662 (0.636)	Data 0.003 (0.016)	Loss 4.7921 (4.7303)	Top-1 acc 15.234 (15.727)	Top-5 acc 35.156 (35.635)	lr 0.02985
Warmup Train [18][1110/2134]	Time 0.693 (0.635)	Data 0.002 (0.016)	Loss 4.5684 (4.7297)	Top-1 acc 18.750 (15.740)	Top-5 acc 39.844 (35.657)	lr 0.02984
Warmup Train [18][1120/2134]	Time 0.779 (0.635)	Data 0.002 (0.015)	Loss 4.5245 (4.7296)	Top-1 acc 17.578 (15.752)	Top-5 acc 37.109 (35.663)	lr 0.02983
Warmup Train [18][1130/2134]	Time 0.550 (0.635)	Data 0.003 (0.015)	Loss 4.7238 (4.7293)	Top-1 acc 14.062 (15.762)	Top-5 acc 36.328 (35.665)	lr 0.02982
Warmup Train [18][1140/2134]	Time 0.616 (0.635)	Data 0.002 (0.015)	Loss 4.6740 (4.7295)	Top-1 acc 14.062 (15.760)	Top-5 acc 38.281 (35.662)	lr 0.02981
Warmup Train [18][1150/2134]	Time 0.552 (0.634)	Data 0.003 (0.015)	Loss 4.6013 (4.7289)	Top-1 acc 18.750 (15.766)	Top-5 acc 38.672 (35.666)	lr 0.02980
Warmup Train [18][1160/2134]	Time 0.651 (0.634)	Data 0.002 (0.015)	Loss 4.7773 (4.7290)	Top-1 acc 16.797 (15.767)	Top-5 acc 33.594 (35.663)	lr 0.02979
Warmup Train [18][1170/2134]	Time 0.569 (0.634)	Data 0.002 (0.015)	Loss 4.8509 (4.7289)	Top-1 acc 14.062 (15.773)	Top-5 acc 30.859 (35.665)	lr 0.02978
Warmup Train [18][1180/2134]	Time 0.575 (0.634)	Data 0.002 (0.015)	Loss 4.7213 (4.7288)	Top-1 acc 14.453 (15.788)	Top-5 acc 35.156 (35.672)	lr 0.02978
Warmup Train [18][1190/2134]	Time 0.569 (0.634)	Data 0.002 (0.015)	Loss 4.9385 (4.7289)	Top-1 acc 11.719 (15.789)	Top-5 acc 28.516 (35.668)	lr 0.02977
Warmup Train [18][1200/2134]	Time 0.529 (0.633)	Data 0.002 (0.015)	Loss 4.5703 (4.7288)	Top-1 acc 19.531 (15.790)	Top-5 acc 41.016 (35.666)	lr 0.02976
Warmup Train [18][1210/2134]	Time 0.665 (0.633)	Data 0.002 (0.015)	Loss 4.6881 (4.7289)	Top-1 acc 14.062 (15.788)	Top-5 acc 38.672 (35.671)	lr 0.02975
Warmup Train [18][1220/2134]	Time 0.615 (0.633)	Data 0.002 (0.015)	Loss 4.5514 (4.7287)	Top-1 acc 17.969 (15.786)	Top-5 acc 42.578 (35.677)	lr 0.02974
Warmup Train [18][1230/2134]	Time 0.757 (0.633)	Data 0.002 (0.015)	Loss 4.7002 (4.7283)	Top-1 acc 13.281 (15.784)	Top-5 acc 36.328 (35.688)	lr 0.02973
Warmup Train [18][1240/2134]	Time 0.624 (0.633)	Data 0.002 (0.015)	Loss 4.7885 (4.7285)	Top-1 acc 12.891 (15.773)	Top-5 acc 35.938 (35.686)	lr 0.02972
Warmup Train [18][1250/2134]	Time 0.514 (0.633)	Data 0.002 (0.015)	Loss 4.4436 (4.7282)	Top-1 acc 19.922 (15.773)	Top-5 acc 43.750 (35.700)	lr 0.02971
Warmup Train [18][1260/2134]	Time 0.614 (0.634)	Data 0.002 (0.015)	Loss 4.7817 (4.7279)	Top-1 acc 13.672 (15.783)	Top-5 acc 36.328 (35.717)	lr 0.02970
Warmup Train [18][1270/2134]	Time 0.654 (0.634)	Data 0.002 (0.014)	Loss 4.8708 (4.7279)	Top-1 acc 15.625 (15.790)	Top-5 acc 30.078 (35.721)	lr 0.02969
Warmup Train [18][1280/2134]	Time 0.702 (0.634)	Data 0.002 (0.014)	Loss 4.6126 (4.7273)	Top-1 acc 19.141 (15.798)	Top-5 acc 39.062 (35.732)	lr 0.02969
Warmup Train [18][1290/2134]	Time 0.771 (0.633)	Data 0.002 (0.014)	Loss 4.6374 (4.7271)	Top-1 acc 14.844 (15.808)	Top-5 acc 38.281 (35.737)	lr 0.02968
Warmup Train [18][1300/2134]	Time 0.452 (0.633)	Data 0.004 (0.014)	Loss 4.7126 (4.7272)	Top-1 acc 13.281 (15.808)	Top-5 acc 33.203 (35.732)	lr 0.02967
Warmup Train [18][1310/2134]	Time 0.716 (0.633)	Data 0.002 (0.014)	Loss 4.7204 (4.7274)	Top-1 acc 17.578 (15.809)	Top-5 acc 37.500 (35.733)	lr 0.02966
Warmup Train [18][1320/2134]	Time 0.507 (0.633)	Data 0.002 (0.014)	Loss 4.6937 (4.7273)	Top-1 acc 15.625 (15.813)	Top-5 acc 36.328 (35.730)	lr 0.02965
Warmup Train [18][1330/2134]	Time 0.638 (0.633)	Data 0.003 (0.014)	Loss 4.7257 (4.7273)	Top-1 acc 14.453 (15.814)	Top-5 acc 35.156 (35.733)	lr 0.02964
Warmup Train [18][1340/2134]	Time 0.594 (0.633)	Data 0.002 (0.014)	Loss 4.6988 (4.7274)	Top-1 acc 16.797 (15.817)	Top-5 acc 33.984 (35.725)	lr 0.02963
Warmup Train [18][1350/2134]	Time 0.638 (0.632)	Data 0.002 (0.014)	Loss 4.9241 (4.7274)	Top-1 acc 16.016 (15.822)	Top-5 acc 32.422 (35.726)	lr 0.02962
Warmup Train [18][1360/2134]	Time 0.701 (0.632)	Data 0.002 (0.014)	Loss 4.7759 (4.7278)	Top-1 acc 16.016 (15.820)	Top-5 acc 31.250 (35.706)	lr 0.02961
Warmup Train [18][1370/2134]	Time 0.704 (0.632)	Data 0.002 (0.014)	Loss 4.6072 (4.7278)	Top-1 acc 20.312 (15.817)	Top-5 acc 39.062 (35.701)	lr 0.02960
Warmup Train [18][1380/2134]	Time 0.758 (0.632)	Data 0.002 (0.014)	Loss 4.6887 (4.7276)	Top-1 acc 13.672 (15.821)	Top-5 acc 33.203 (35.698)	lr 0.02960
Warmup Train [18][1390/2134]	Time 0.512 (0.632)	Data 0.002 (0.014)	Loss 4.8917 (4.7279)	Top-1 acc 12.109 (15.824)	Top-5 acc 28.906 (35.687)	lr 0.02959
Warmup Train [18][1400/2134]	Time 0.627 (0.632)	Data 0.002 (0.014)	Loss 4.6757 (4.7280)	Top-1 acc 16.016 (15.818)	Top-5 acc 37.109 (35.685)	lr 0.02958
Warmup Train [18][1410/2134]	Time 0.626 (0.631)	Data 0.002 (0.014)	Loss 4.6037 (4.7280)	Top-1 acc 15.625 (15.823)	Top-5 acc 35.547 (35.688)	lr 0.02957
Warmup Train [18][1420/2134]	Time 0.819 (0.631)	Data 0.002 (0.014)	Loss 4.6691 (4.7278)	Top-1 acc 14.844 (15.825)	Top-5 acc 39.062 (35.688)	lr 0.02956
Warmup Train [18][1430/2134]	Time 0.543 (0.632)	Data 0.002 (0.014)	Loss 4.7169 (4.7277)	Top-1 acc 14.844 (15.823)	Top-5 acc 37.109 (35.695)	lr 0.02955
Warmup Train [18][1440/2134]	Time 0.598 (0.632)	Data 0.002 (0.014)	Loss 4.6502 (4.7272)	Top-1 acc 17.969 (15.830)	Top-5 acc 37.500 (35.704)	lr 0.02954
Warmup Train [18][1450/2134]	Time 0.707 (0.632)	Data 0.003 (0.013)	Loss 4.7681 (4.7273)	Top-1 acc 14.062 (15.832)	Top-5 acc 33.984 (35.701)	lr 0.02953
Warmup Train [18][1460/2134]	Time 0.423 (0.632)	Data 0.002 (0.013)	Loss 4.6889 (4.7270)	Top-1 acc 14.453 (15.837)	Top-5 acc 36.719 (35.710)	lr 0.02952
Warmup Train [18][1470/2134]	Time 0.741 (0.632)	Data 0.002 (0.013)	Loss 4.7548 (4.7270)	Top-1 acc 14.844 (15.839)	Top-5 acc 31.641 (35.707)	lr 0.02951
Warmup Train [18][1480/2134]	Time 0.716 (0.632)	Data 0.002 (0.013)	Loss 4.7866 (4.7269)	Top-1 acc 14.844 (15.837)	Top-5 acc 33.203 (35.713)	lr 0.02950
Warmup Train [18][1490/2134]	Time 0.584 (0.632)	Data 0.002 (0.013)	Loss 4.9511 (4.7267)	Top-1 acc 14.844 (15.841)	Top-5 acc 30.859 (35.716)	lr 0.02950
Warmup Train [18][1500/2134]	Time 0.437 (0.632)	Data 0.003 (0.013)	Loss 4.8587 (4.7264)	Top-1 acc 12.109 (15.853)	Top-5 acc 27.734 (35.723)	lr 0.02949
Warmup Train [18][1510/2134]	Time 0.668 (0.631)	Data 0.002 (0.013)	Loss 4.8957 (4.7266)	Top-1 acc 13.281 (15.846)	Top-5 acc 30.859 (35.710)	lr 0.02948
Warmup Train [18][1520/2134]	Time 0.569 (0.631)	Data 0.003 (0.013)	Loss 4.6764 (4.7268)	Top-1 acc 14.062 (15.841)	Top-5 acc 38.672 (35.710)	lr 0.02947
Warmup Train [18][1530/2134]	Time 0.626 (0.631)	Data 0.003 (0.013)	Loss 4.6085 (4.7271)	Top-1 acc 15.625 (15.841)	Top-5 acc 36.719 (35.700)	lr 0.02946
Warmup Train [18][1540/2134]	Time 0.710 (0.631)	Data 0.002 (0.013)	Loss 4.6732 (4.7269)	Top-1 acc 18.359 (15.839)	Top-5 acc 35.938 (35.697)	lr 0.02945
Warmup Train [18][1550/2134]	Time 0.685 (0.631)	Data 0.002 (0.013)	Loss 4.6804 (4.7268)	Top-1 acc 16.016 (15.842)	Top-5 acc 39.453 (35.701)	lr 0.02944
Warmup Train [18][1560/2134]	Time 0.685 (0.631)	Data 0.002 (0.013)	Loss 4.8163 (4.7266)	Top-1 acc 16.406 (15.849)	Top-5 acc 33.594 (35.704)	lr 0.02943
Warmup Train [18][1570/2134]	Time 0.538 (0.630)	Data 0.002 (0.013)	Loss 4.8368 (4.7268)	Top-1 acc 16.797 (15.851)	Top-5 acc 35.156 (35.701)	lr 0.02942
Warmup Train [18][1580/2134]	Time 0.647 (0.630)	Data 0.002 (0.013)	Loss 4.7390 (4.7267)	Top-1 acc 16.406 (15.849)	Top-5 acc 39.062 (35.713)	lr 0.02941
Warmup Train [18][1590/2134]	Time 0.745 (0.630)	Data 0.002 (0.013)	Loss 4.6661 (4.7264)	Top-1 acc 20.312 (15.855)	Top-5 acc 36.328 (35.718)	lr 0.02941
Warmup Train [18][1600/2134]	Time 0.495 (0.631)	Data 0.002 (0.013)	Loss 4.5635 (4.7263)	Top-1 acc 18.750 (15.857)	Top-5 acc 38.672 (35.723)	lr 0.02940
Warmup Train [18][1610/2134]	Time 0.637 (0.631)	Data 0.002 (0.013)	Loss 4.8387 (4.7258)	Top-1 acc 14.844 (15.867)	Top-5 acc 33.594 (35.737)	lr 0.02939
Warmup Train [18][1620/2134]	Time 0.595 (0.631)	Data 0.002 (0.013)	Loss 4.7284 (4.7256)	Top-1 acc 14.453 (15.870)	Top-5 acc 34.375 (35.739)	lr 0.02938
Warmup Train [18][1630/2134]	Time 0.628 (0.631)	Data 0.002 (0.013)	Loss 4.7504 (4.7257)	Top-1 acc 18.750 (15.870)	Top-5 acc 38.672 (35.741)	lr 0.02937
Warmup Train [18][1640/2134]	Time 0.677 (0.631)	Data 0.002 (0.013)	Loss 4.7420 (4.7258)	Top-1 acc 19.141 (15.873)	Top-5 acc 35.156 (35.739)	lr 0.02936
Warmup Train [18][1650/2134]	Time 0.547 (0.631)	Data 0.002 (0.013)	Loss 4.7862 (4.7260)	Top-1 acc 15.625 (15.868)	Top-5 acc 35.547 (35.737)	lr 0.02935
Warmup Train [18][1660/2134]	Time 0.587 (0.631)	Data 0.003 (0.013)	Loss 4.5323 (4.7256)	Top-1 acc 20.703 (15.875)	Top-5 acc 38.672 (35.734)	lr 0.02934
Warmup Train [18][1670/2134]	Time 0.680 (0.630)	Data 0.002 (0.012)	Loss 4.5754 (4.7255)	Top-1 acc 16.406 (15.878)	Top-5 acc 38.672 (35.739)	lr 0.02933
Warmup Train [18][1680/2134]	Time 0.481 (0.630)	Data 0.002 (0.012)	Loss 4.6893 (4.7254)	Top-1 acc 16.406 (15.878)	Top-5 acc 37.109 (35.744)	lr 0.02932
Warmup Train [18][1690/2134]	Time 0.503 (0.630)	Data 0.002 (0.012)	Loss 4.7057 (4.7253)	Top-1 acc 15.625 (15.878)	Top-5 acc 35.938 (35.747)	lr 0.02931
Warmup Train [18][1700/2134]	Time 0.712 (0.630)	Data 0.002 (0.013)	Loss 4.8041 (4.7253)	Top-1 acc 15.234 (15.875)	Top-5 acc 36.719 (35.746)	lr 0.02931
Warmup Train [18][1710/2134]	Time 0.635 (0.630)	Data 0.002 (0.012)	Loss 4.5797 (4.7253)	Top-1 acc 21.484 (15.879)	Top-5 acc 39.453 (35.750)	lr 0.02930
Warmup Train [18][1720/2134]	Time 0.468 (0.630)	Data 0.003 (0.012)	Loss 4.5139 (4.7251)	Top-1 acc 18.359 (15.877)	Top-5 acc 39.062 (35.752)	lr 0.02929
Warmup Train [18][1730/2134]	Time 0.762 (0.630)	Data 0.002 (0.012)	Loss 4.6882 (4.7249)	Top-1 acc 16.016 (15.873)	Top-5 acc 39.062 (35.755)	lr 0.02928
Warmup Train [18][1740/2134]	Time 0.654 (0.630)	Data 0.002 (0.012)	Loss 4.6203 (4.7249)	Top-1 acc 18.750 (15.875)	Top-5 acc 39.062 (35.754)	lr 0.02927
Warmup Train [18][1750/2134]	Time 0.640 (0.629)	Data 0.002 (0.012)	Loss 4.8330 (4.7251)	Top-1 acc 17.578 (15.877)	Top-5 acc 34.766 (35.750)	lr 0.02926
Warmup Train [18][1760/2134]	Time 0.464 (0.629)	Data 0.002 (0.012)	Loss 4.6562 (4.7250)	Top-1 acc 16.016 (15.874)	Top-5 acc 35.938 (35.747)	lr 0.02925
Warmup Train [18][1770/2134]	Time 0.731 (0.629)	Data 0.002 (0.012)	Loss 4.7324 (4.7249)	Top-1 acc 16.016 (15.878)	Top-5 acc 35.547 (35.748)	lr 0.02924
Warmup Train [18][1780/2134]	Time 0.620 (0.630)	Data 0.002 (0.012)	Loss 4.8700 (4.7245)	Top-1 acc 12.109 (15.881)	Top-5 acc 32.422 (35.763)	lr 0.02923
Warmup Train [18][1790/2134]	Time 0.441 (0.630)	Data 0.002 (0.012)	Loss 4.5481 (4.7242)	Top-1 acc 19.531 (15.889)	Top-5 acc 41.797 (35.770)	lr 0.02922
Warmup Train [18][1800/2134]	Time 0.489 (0.630)	Data 0.003 (0.012)	Loss 4.7610 (4.7243)	Top-1 acc 17.188 (15.889)	Top-5 acc 34.766 (35.764)	lr 0.02921
Warmup Train [18][1810/2134]	Time 0.697 (0.630)	Data 0.002 (0.012)	Loss 4.5817 (4.7242)	Top-1 acc 18.359 (15.896)	Top-5 acc 41.016 (35.775)	lr 0.02921
Warmup Train [18][1820/2134]	Time 0.584 (0.630)	Data 0.002 (0.012)	Loss 4.5439 (4.7238)	Top-1 acc 19.141 (15.902)	Top-5 acc 39.062 (35.786)	lr 0.02920
Warmup Train [18][1830/2134]	Time 0.673 (0.630)	Data 0.002 (0.012)	Loss 4.3797 (4.7235)	Top-1 acc 17.188 (15.906)	Top-5 acc 43.750 (35.801)	lr 0.02919
Warmup Train [18][1840/2134]	Time 0.543 (0.629)	Data 0.002 (0.012)	Loss 4.9439 (4.7236)	Top-1 acc 14.844 (15.906)	Top-5 acc 31.250 (35.802)	lr 0.02918
Warmup Train [18][1850/2134]	Time 0.661 (0.629)	Data 0.002 (0.012)	Loss 4.4982 (4.7232)	Top-1 acc 18.359 (15.913)	Top-5 acc 42.188 (35.814)	lr 0.02917
Warmup Train [18][1860/2134]	Time 0.608 (0.629)	Data 0.002 (0.012)	Loss 4.7356 (4.7230)	Top-1 acc 16.016 (15.920)	Top-5 acc 33.984 (35.818)	lr 0.02916
Warmup Train [18][1870/2134]	Time 0.662 (0.629)	Data 0.002 (0.012)	Loss 4.5267 (4.7230)	Top-1 acc 14.844 (15.917)	Top-5 acc 42.188 (35.816)	lr 0.02915
Warmup Train [18][1880/2134]	Time 0.491 (0.629)	Data 0.002 (0.012)	Loss 4.6784 (4.7230)	Top-1 acc 17.188 (15.912)	Top-5 acc 36.328 (35.815)	lr 0.02914
Warmup Train [18][1890/2134]	Time 0.496 (0.629)	Data 0.002 (0.012)	Loss 4.5983 (4.7231)	Top-1 acc 17.578 (15.907)	Top-5 acc 37.891 (35.810)	lr 0.02913
Warmup Train [18][1900/2134]	Time 0.646 (0.629)	Data 0.002 (0.012)	Loss 4.6916 (4.7231)	Top-1 acc 20.312 (15.912)	Top-5 acc 39.844 (35.813)	lr 0.02912
Warmup Train [18][1910/2134]	Time 0.350 (0.628)	Data 0.002 (0.012)	Loss 4.5771 (4.7231)	Top-1 acc 17.578 (15.911)	Top-5 acc 38.281 (35.811)	lr 0.02912
Warmup Train [18][1920/2134]	Time 0.620 (0.628)	Data 0.002 (0.012)	Loss 4.4803 (4.7228)	Top-1 acc 17.578 (15.916)	Top-5 acc 40.625 (35.819)	lr 0.02911
Warmup Train [18][1930/2134]	Time 0.623 (0.628)	Data 0.002 (0.012)	Loss 4.7332 (4.7229)	Top-1 acc 14.453 (15.915)	Top-5 acc 35.156 (35.821)	lr 0.02910
Warmup Train [18][1940/2134]	Time 0.601 (0.628)	Data 0.002 (0.012)	Loss 4.7336 (4.7226)	Top-1 acc 12.891 (15.915)	Top-5 acc 32.422 (35.826)	lr 0.02909
Warmup Train [18][1950/2134]	Time 0.488 (0.629)	Data 0.002 (0.012)	Loss 4.7091 (4.7224)	Top-1 acc 15.234 (15.917)	Top-5 acc 37.891 (35.829)	lr 0.02908
Warmup Train [18][1960/2134]	Time 0.441 (0.629)	Data 0.002 (0.012)	Loss 4.5316 (4.7223)	Top-1 acc 16.406 (15.914)	Top-5 acc 42.969 (35.837)	lr 0.02907
Warmup Train [18][1970/2134]	Time 0.691 (0.629)	Data 0.002 (0.012)	Loss 4.8185 (4.7225)	Top-1 acc 13.281 (15.913)	Top-5 acc 34.766 (35.843)	lr 0.02906
Warmup Train [18][1980/2134]	Time 0.682 (0.629)	Data 0.002 (0.012)	Loss 4.6345 (4.7222)	Top-1 acc 16.797 (15.919)	Top-5 acc 37.891 (35.850)	lr 0.02905
Warmup Train [18][1990/2134]	Time 0.600 (0.629)	Data 0.002 (0.012)	Loss 4.8270 (4.7221)	Top-1 acc 14.844 (15.919)	Top-5 acc 31.250 (35.849)	lr 0.02904
Warmup Train [18][2000/2134]	Time 0.703 (0.629)	Data 0.002 (0.012)	Loss 4.7828 (4.7223)	Top-1 acc 13.672 (15.918)	Top-5 acc 32.031 (35.842)	lr 0.02903
Warmup Train [18][2010/2134]	Time 0.637 (0.629)	Data 0.002 (0.012)	Loss 4.6794 (4.7219)	Top-1 acc 15.234 (15.923)	Top-5 acc 35.938 (35.851)	lr 0.02902
Warmup Train [18][2020/2134]	Time 0.640 (0.628)	Data 0.002 (0.012)	Loss 4.7888 (4.7217)	Top-1 acc 18.359 (15.925)	Top-5 acc 36.719 (35.856)	lr 0.02902
Warmup Train [18][2030/2134]	Time 0.504 (0.628)	Data 0.002 (0.012)	Loss 4.5387 (4.7213)	Top-1 acc 17.188 (15.930)	Top-5 acc 38.281 (35.869)	lr 0.02901
Warmup Train [18][2040/2134]	Time 0.774 (0.628)	Data 0.003 (0.012)	Loss 4.6834 (4.7211)	Top-1 acc 16.016 (15.931)	Top-5 acc 36.719 (35.871)	lr 0.02900
Warmup Train [18][2050/2134]	Time 0.628 (0.628)	Data 0.002 (0.012)	Loss 4.7798 (4.7212)	Top-1 acc 13.281 (15.929)	Top-5 acc 32.031 (35.868)	lr 0.02899
Warmup Train [18][2060/2134]	Time 0.622 (0.628)	Data 0.002 (0.012)	Loss 4.6958 (4.7212)	Top-1 acc 17.578 (15.927)	Top-5 acc 35.547 (35.865)	lr 0.02898
Warmup Train [18][2070/2134]	Time 0.808 (0.628)	Data 0.001 (0.012)	Loss 4.7302 (4.7211)	Top-1 acc 13.672 (15.927)	Top-5 acc 35.156 (35.861)	lr 0.02897
Warmup Train [18][2080/2134]	Time 0.684 (0.628)	Data 0.000 (0.012)	Loss 4.6925 (4.7208)	Top-1 acc 14.453 (15.930)	Top-5 acc 35.156 (35.862)	lr 0.02896
Warmup Train [18][2090/2134]	Time 0.709 (0.628)	Data 0.000 (0.011)	Loss 4.8663 (4.7207)	Top-1 acc 13.281 (15.925)	Top-5 acc 32.422 (35.861)	lr 0.02895
Warmup Train [18][2100/2134]	Time 0.412 (0.627)	Data 0.000 (0.011)	Loss 4.7080 (4.7203)	Top-1 acc 15.234 (15.930)	Top-5 acc 34.766 (35.868)	lr 0.02894
Warmup Train [18][2110/2134]	Time 0.546 (0.627)	Data 0.000 (0.011)	Loss 4.6499 (4.7202)	Top-1 acc 16.406 (15.931)	Top-5 acc 36.719 (35.872)	lr 0.02893
Warmup Train [18][2120/2134]	Time 0.629 (0.627)	Data 0.000 (0.011)	Loss 4.7383 (4.7201)	Top-1 acc 13.281 (15.930)	Top-5 acc 32.031 (35.871)	lr 0.02892
Warmup Train [18][2130/2134]	Time 0.452 (0.627)	Data 0.000 (0.011)	Loss 4.5267 (4.7199)	Top-1 acc 20.312 (15.940)	Top-5 acc 43.750 (35.880)	lr 0.02892
Warmup Train [18][2134/2134]	Time 0.595 (0.627)	Data 0.000 (0.011)	Loss 4.4691 (4.7198)	Top-1 acc 17.112 (15.941)	Top-5 acc 41.176 (35.882)	lr 0.02891
==========Warmup Valid [18/40]	loss 3.853	top-1 acc 21.959	top-5 acc 45.198	Train top-1 15.941	top-5 35.882	flops: 442.4M
Warmup Train [19][0/2134]	Time 12.573 (12.573)	Data 10.140 (10.140)	Loss 4.8503 (4.8503)	Top-1 acc 13.672 (13.672)	Top-5 acc 35.547 (35.547)	lr 0.02891
Warmup Train [19][10/2134]	Time 0.637 (1.865)	Data 0.002 (0.938)	Loss 4.6462 (4.6870)	Top-1 acc 16.406 (16.442)	Top-5 acc 35.156 (36.541)	lr 0.02890
Warmup Train [19][20/2134]	Time 0.572 (1.267)	Data 0.002 (0.493)	Loss 4.6695 (4.6680)	Top-1 acc 17.578 (16.481)	Top-5 acc 33.984 (36.793)	lr 0.02889
Warmup Train [19][30/2134]	Time 0.644 (1.052)	Data 0.002 (0.335)	Loss 4.5762 (4.6693)	Top-1 acc 17.188 (16.532)	Top-5 acc 43.359 (37.009)	lr 0.02888
Warmup Train [19][40/2134]	Time 0.652 (0.945)	Data 0.002 (0.254)	Loss 4.7880 (4.6827)	Top-1 acc 18.359 (16.606)	Top-5 acc 32.031 (36.776)	lr 0.02887
Warmup Train [19][50/2134]	Time 0.563 (0.879)	Data 0.002 (0.205)	Loss 4.6875 (4.6920)	Top-1 acc 18.750 (16.613)	Top-5 acc 40.625 (36.864)	lr 0.02887
Warmup Train [19][60/2134]	Time 0.715 (0.834)	Data 0.002 (0.173)	Loss 4.6612 (4.6872)	Top-1 acc 16.406 (16.534)	Top-5 acc 34.766 (36.866)	lr 0.02886
Warmup Train [19][70/2134]	Time 0.457 (0.799)	Data 0.003 (0.150)	Loss 4.6978 (4.6986)	Top-1 acc 14.453 (16.280)	Top-5 acc 35.938 (36.455)	lr 0.02885
Warmup Train [19][80/2134]	Time 0.807 (0.777)	Data 0.003 (0.133)	Loss 4.7941 (4.6985)	Top-1 acc 11.719 (16.300)	Top-5 acc 35.938 (36.454)	lr 0.02884
Warmup Train [19][90/2134]	Time 0.590 (0.759)	Data 0.002 (0.119)	Loss 4.5523 (4.6947)	Top-1 acc 19.922 (16.415)	Top-5 acc 39.062 (36.560)	lr 0.02883
Warmup Train [19][100/2134]	Time 0.678 (0.745)	Data 0.002 (0.108)	Loss 4.5965 (4.6916)	Top-1 acc 18.750 (16.623)	Top-5 acc 38.672 (36.657)	lr 0.02882
Warmup Train [19][110/2134]	Time 0.612 (0.733)	Data 0.002 (0.099)	Loss 4.6678 (4.6856)	Top-1 acc 17.578 (16.783)	Top-5 acc 39.062 (36.821)	lr 0.02881
Warmup Train [19][120/2134]	Time 0.536 (0.721)	Data 0.002 (0.091)	Loss 4.7932 (4.6836)	Top-1 acc 17.578 (16.778)	Top-5 acc 36.328 (36.832)	lr 0.02880
Warmup Train [19][130/2134]	Time 0.624 (0.714)	Data 0.002 (0.085)	Loss 4.6331 (4.6803)	Top-1 acc 15.625 (16.740)	Top-5 acc 39.062 (36.826)	lr 0.02879
Warmup Train [19][140/2134]	Time 0.499 (0.705)	Data 0.003 (0.079)	Loss 4.6536 (4.6794)	Top-1 acc 18.750 (16.681)	Top-5 acc 39.062 (36.824)	lr 0.02878
Warmup Train [19][150/2134]	Time 0.671 (0.715)	Data 0.002 (0.074)	Loss 4.5857 (4.6801)	Top-1 acc 19.922 (16.706)	Top-5 acc 40.625 (36.807)	lr 0.02877
Warmup Train [19][160/2134]	Time 0.622 (0.707)	Data 0.034 (0.070)	Loss 4.6039 (4.6850)	Top-1 acc 16.016 (16.646)	Top-5 acc 39.453 (36.741)	lr 0.02877
Warmup Train [19][170/2134]	Time 0.529 (0.701)	Data 0.002 (0.067)	Loss 4.8429 (4.6858)	Top-1 acc 12.500 (16.589)	Top-5 acc 27.734 (36.618)	lr 0.02876
Warmup Train [19][180/2134]	Time 0.619 (0.697)	Data 0.002 (0.064)	Loss 4.8211 (4.6868)	Top-1 acc 12.109 (16.585)	Top-5 acc 32.422 (36.613)	lr 0.02875
Warmup Train [19][190/2134]	Time 0.723 (0.694)	Data 0.002 (0.061)	Loss 4.8971 (4.6893)	Top-1 acc 16.406 (16.535)	Top-5 acc 28.516 (36.531)	lr 0.02874
Warmup Train [19][200/2134]	Time 0.404 (0.689)	Data 0.002 (0.058)	Loss 4.8117 (4.6892)	Top-1 acc 12.109 (16.531)	Top-5 acc 33.984 (36.559)	lr 0.02873
Warmup Train [19][210/2134]	Time 0.645 (0.686)	Data 0.002 (0.056)	Loss 4.7363 (4.6895)	Top-1 acc 14.062 (16.512)	Top-5 acc 29.688 (36.508)	lr 0.02872
Warmup Train [19][220/2134]	Time 0.609 (0.683)	Data 0.003 (0.054)	Loss 4.7227 (4.6922)	Top-1 acc 17.188 (16.461)	Top-5 acc 39.062 (36.475)	lr 0.02871
Warmup Train [19][230/2134]	Time 0.709 (0.679)	Data 0.002 (0.051)	Loss 4.7033 (4.6917)	Top-1 acc 14.844 (16.479)	Top-5 acc 35.938 (36.506)	lr 0.02870
Warmup Train [19][240/2134]	Time 0.556 (0.676)	Data 0.002 (0.050)	Loss 4.7651 (4.6926)	Top-1 acc 19.531 (16.494)	Top-5 acc 37.109 (36.518)	lr 0.02869
Warmup Train [19][250/2134]	Time 0.653 (0.674)	Data 0.002 (0.048)	Loss 4.7075 (4.6904)	Top-1 acc 16.797 (16.553)	Top-5 acc 34.375 (36.555)	lr 0.02868
Warmup Train [19][260/2134]	Time 0.571 (0.671)	Data 0.002 (0.046)	Loss 4.7964 (4.6896)	Top-1 acc 12.891 (16.551)	Top-5 acc 37.109 (36.557)	lr 0.02867
Warmup Train [19][270/2134]	Time 0.648 (0.669)	Data 0.002 (0.045)	Loss 4.7084 (4.6889)	Top-1 acc 20.312 (16.588)	Top-5 acc 37.500 (36.603)	lr 0.02867
Warmup Train [19][280/2134]	Time 0.576 (0.666)	Data 0.003 (0.044)	Loss 4.5398 (4.6885)	Top-1 acc 19.531 (16.577)	Top-5 acc 41.797 (36.609)	lr 0.02866
Warmup Train [19][290/2134]	Time 0.547 (0.665)	Data 0.002 (0.043)	Loss 4.8975 (4.6889)	Top-1 acc 17.578 (16.578)	Top-5 acc 31.641 (36.598)	lr 0.02865
Warmup Train [19][300/2134]	Time 0.625 (0.663)	Data 0.002 (0.042)	Loss 4.6408 (4.6894)	Top-1 acc 15.234 (16.584)	Top-5 acc 39.453 (36.610)	lr 0.02864
Warmup Train [19][310/2134]	Time 0.666 (0.662)	Data 0.002 (0.040)	Loss 4.7503 (4.6888)	Top-1 acc 15.234 (16.605)	Top-5 acc 34.375 (36.604)	lr 0.02863
Warmup Train [19][320/2134]	Time 0.708 (0.660)	Data 0.002 (0.039)	Loss 4.6359 (4.6875)	Top-1 acc 20.703 (16.633)	Top-5 acc 39.062 (36.630)	lr 0.02862
Warmup Train [19][330/2134]	Time 0.724 (0.665)	Data 0.003 (0.038)	Loss 4.6703 (4.6882)	Top-1 acc 16.406 (16.595)	Top-5 acc 33.203 (36.616)	lr 0.02861
Warmup Train [19][340/2134]	Time 0.739 (0.663)	Data 0.002 (0.037)	Loss 4.6648 (4.6877)	Top-1 acc 17.969 (16.599)	Top-5 acc 39.062 (36.642)	lr 0.02860
Warmup Train [19][350/2134]	Time 0.692 (0.662)	Data 0.002 (0.036)	Loss 4.6201 (4.6870)	Top-1 acc 20.312 (16.642)	Top-5 acc 38.281 (36.668)	lr 0.02859
Warmup Train [19][360/2134]	Time 0.800 (0.661)	Data 0.003 (0.035)	Loss 4.5275 (4.6877)	Top-1 acc 22.656 (16.649)	Top-5 acc 42.578 (36.649)	lr 0.02858
Warmup Train [19][370/2134]	Time 0.521 (0.659)	Data 0.002 (0.035)	Loss 4.6449 (4.6881)	Top-1 acc 15.625 (16.631)	Top-5 acc 37.891 (36.644)	lr 0.02857
Warmup Train [19][380/2134]	Time 0.520 (0.658)	Data 0.002 (0.034)	Loss 4.5753 (4.6871)	Top-1 acc 18.750 (16.653)	Top-5 acc 40.234 (36.681)	lr 0.02857
Warmup Train [19][390/2134]	Time 0.503 (0.657)	Data 0.009 (0.034)	Loss 4.7241 (4.6874)	Top-1 acc 17.969 (16.643)	Top-5 acc 35.938 (36.684)	lr 0.02856
Warmup Train [19][400/2134]	Time 0.670 (0.657)	Data 0.002 (0.033)	Loss 4.6764 (4.6874)	Top-1 acc 16.016 (16.649)	Top-5 acc 38.672 (36.688)	lr 0.02855
Warmup Train [19][410/2134]	Time 0.779 (0.656)	Data 0.004 (0.032)	Loss 4.7975 (4.6873)	Top-1 acc 19.141 (16.660)	Top-5 acc 36.719 (36.704)	lr 0.02854
Warmup Train [19][420/2134]	Time 0.731 (0.655)	Data 0.002 (0.032)	Loss 4.6720 (4.6868)	Top-1 acc 14.844 (16.667)	Top-5 acc 38.281 (36.701)	lr 0.02853
Warmup Train [19][430/2134]	Time 0.649 (0.654)	Data 0.002 (0.031)	Loss 4.7634 (4.6873)	Top-1 acc 16.016 (16.680)	Top-5 acc 33.984 (36.689)	lr 0.02852
Warmup Train [19][440/2134]	Time 0.689 (0.653)	Data 0.004 (0.030)	Loss 4.8175 (4.6877)	Top-1 acc 12.891 (16.668)	Top-5 acc 32.812 (36.665)	lr 0.02851
Warmup Train [19][450/2134]	Time 0.580 (0.652)	Data 0.003 (0.030)	Loss 4.8069 (4.6874)	Top-1 acc 17.969 (16.664)	Top-5 acc 33.203 (36.680)	lr 0.02850
Warmup Train [19][460/2134]	Time 0.731 (0.651)	Data 0.002 (0.029)	Loss 4.6753 (4.6874)	Top-1 acc 17.188 (16.663)	Top-5 acc 38.281 (36.698)	lr 0.02849
Warmup Train [19][470/2134]	Time 0.675 (0.650)	Data 0.002 (0.029)	Loss 4.7442 (4.6876)	Top-1 acc 16.406 (16.663)	Top-5 acc 36.328 (36.681)	lr 0.02848
Warmup Train [19][480/2134]	Time 0.647 (0.649)	Data 0.002 (0.028)	Loss 4.8109 (4.6880)	Top-1 acc 16.797 (16.646)	Top-5 acc 33.984 (36.669)	lr 0.02847
Warmup Train [19][490/2134]	Time 0.517 (0.648)	Data 0.002 (0.028)	Loss 4.5997 (4.6877)	Top-1 acc 17.969 (16.640)	Top-5 acc 37.891 (36.679)	lr 0.02847
Warmup Train [19][500/2134]	Time 0.509 (0.647)	Data 0.003 (0.027)	Loss 4.8027 (4.6860)	Top-1 acc 16.016 (16.667)	Top-5 acc 37.109 (36.726)	lr 0.02846
Warmup Train [19][510/2134]	Time 0.756 (0.650)	Data 0.002 (0.027)	Loss 4.5598 (4.6856)	Top-1 acc 17.969 (16.672)	Top-5 acc 36.719 (36.737)	lr 0.02845
Warmup Train [19][520/2134]	Time 0.503 (0.649)	Data 0.004 (0.027)	Loss 4.7489 (4.6856)	Top-1 acc 16.406 (16.675)	Top-5 acc 34.766 (36.735)	lr 0.02844
Warmup Train [19][530/2134]	Time 0.569 (0.649)	Data 0.002 (0.026)	Loss 4.5763 (4.6844)	Top-1 acc 17.578 (16.674)	Top-5 acc 37.891 (36.744)	lr 0.02843
Warmup Train [19][540/2134]	Time 0.503 (0.648)	Data 0.002 (0.026)	Loss 4.8184 (4.6849)	Top-1 acc 15.625 (16.686)	Top-5 acc 35.156 (36.738)	lr 0.02842
Warmup Train [19][550/2134]	Time 0.544 (0.648)	Data 0.002 (0.026)	Loss 4.5178 (4.6851)	Top-1 acc 19.141 (16.696)	Top-5 acc 41.797 (36.754)	lr 0.02841
Warmup Train [19][560/2134]	Time 0.595 (0.647)	Data 0.003 (0.026)	Loss 4.8249 (4.6849)	Top-1 acc 14.844 (16.696)	Top-5 acc 33.984 (36.763)	lr 0.02840
Warmup Train [19][570/2134]	Time 0.700 (0.647)	Data 0.002 (0.025)	Loss 4.5901 (4.6834)	Top-1 acc 17.578 (16.722)	Top-5 acc 39.844 (36.815)	lr 0.02839
Warmup Train [19][580/2134]	Time 0.528 (0.646)	Data 0.002 (0.025)	Loss 4.5804 (4.6833)	Top-1 acc 17.188 (16.726)	Top-5 acc 41.406 (36.827)	lr 0.02838
Warmup Train [19][590/2134]	Time 0.527 (0.646)	Data 0.003 (0.025)	Loss 4.5132 (4.6832)	Top-1 acc 16.406 (16.739)	Top-5 acc 39.453 (36.821)	lr 0.02837
Warmup Train [19][600/2134]	Time 0.611 (0.645)	Data 0.002 (0.025)	Loss 4.5556 (4.6834)	Top-1 acc 20.703 (16.742)	Top-5 acc 42.578 (36.829)	lr 0.02836
Warmup Train [19][610/2134]	Time 0.541 (0.645)	Data 0.003 (0.024)	Loss 4.7229 (4.6835)	Top-1 acc 15.625 (16.733)	Top-5 acc 33.594 (36.826)	lr 0.02836
Warmup Train [19][620/2134]	Time 0.627 (0.644)	Data 0.002 (0.024)	Loss 4.6543 (4.6835)	Top-1 acc 16.016 (16.735)	Top-5 acc 37.891 (36.818)	lr 0.02835
Warmup Train [19][630/2134]	Time 0.646 (0.644)	Data 0.003 (0.024)	Loss 4.7094 (4.6832)	Top-1 acc 17.188 (16.734)	Top-5 acc 38.672 (36.825)	lr 0.02834
Warmup Train [19][640/2134]	Time 0.477 (0.643)	Data 0.002 (0.024)	Loss 4.6005 (4.6829)	Top-1 acc 17.969 (16.729)	Top-5 acc 37.891 (36.829)	lr 0.02833
Warmup Train [19][650/2134]	Time 0.430 (0.643)	Data 0.003 (0.024)	Loss 4.7952 (4.6828)	Top-1 acc 16.406 (16.706)	Top-5 acc 31.250 (36.820)	lr 0.02832
Warmup Train [19][660/2134]	Time 0.639 (0.642)	Data 0.002 (0.023)	Loss 4.6028 (4.6830)	Top-1 acc 21.094 (16.699)	Top-5 acc 42.969 (36.816)	lr 0.02831
Warmup Train [19][670/2134]	Time 0.648 (0.642)	Data 0.002 (0.023)	Loss 4.7884 (4.6827)	Top-1 acc 14.453 (16.702)	Top-5 acc 33.984 (36.812)	lr 0.02830
Warmup Train [19][680/2134]	Time 0.466 (0.644)	Data 0.002 (0.023)	Loss 4.5949 (4.6820)	Top-1 acc 20.703 (16.719)	Top-5 acc 41.016 (36.839)	lr 0.02829
Warmup Train [19][690/2134]	Time 0.431 (0.644)	Data 0.002 (0.023)	Loss 4.5838 (4.6824)	Top-1 acc 18.359 (16.716)	Top-5 acc 38.281 (36.836)	lr 0.02828
Warmup Train [19][700/2134]	Time 0.393 (0.643)	Data 0.002 (0.023)	Loss 4.8644 (4.6826)	Top-1 acc 12.891 (16.717)	Top-5 acc 31.641 (36.839)	lr 0.02827
Warmup Train [19][710/2134]	Time 0.751 (0.643)	Data 0.003 (0.023)	Loss 4.5684 (4.6829)	Top-1 acc 15.234 (16.723)	Top-5 acc 36.328 (36.818)	lr 0.02826
Warmup Train [19][720/2134]	Time 0.652 (0.642)	Data 0.002 (0.022)	Loss 4.7495 (4.6831)	Top-1 acc 16.016 (16.725)	Top-5 acc 34.375 (36.824)	lr 0.02826
Warmup Train [19][730/2134]	Time 0.685 (0.642)	Data 0.002 (0.022)	Loss 4.7071 (4.6828)	Top-1 acc 17.188 (16.732)	Top-5 acc 38.281 (36.820)	lr 0.02825
Warmup Train [19][740/2134]	Time 0.629 (0.642)	Data 0.003 (0.022)	Loss 4.7484 (4.6826)	Top-1 acc 14.062 (16.721)	Top-5 acc 36.328 (36.821)	lr 0.02824
Warmup Train [19][750/2134]	Time 0.681 (0.641)	Data 0.002 (0.022)	Loss 4.6661 (4.6823)	Top-1 acc 17.969 (16.732)	Top-5 acc 35.156 (36.822)	lr 0.02823
Warmup Train [19][760/2134]	Time 0.523 (0.641)	Data 0.002 (0.021)	Loss 4.5965 (4.6815)	Top-1 acc 16.797 (16.739)	Top-5 acc 37.891 (36.822)	lr 0.02822
Warmup Train [19][770/2134]	Time 0.634 (0.641)	Data 0.002 (0.021)	Loss 4.7796 (4.6817)	Top-1 acc 12.109 (16.724)	Top-5 acc 33.984 (36.804)	lr 0.02821
Warmup Train [19][780/2134]	Time 0.568 (0.640)	Data 0.002 (0.021)	Loss 4.5860 (4.6816)	Top-1 acc 19.141 (16.731)	Top-5 acc 37.109 (36.819)	lr 0.02820
Warmup Train [19][790/2134]	Time 0.506 (0.640)	Data 0.002 (0.021)	Loss 4.6334 (4.6811)	Top-1 acc 17.969 (16.734)	Top-5 acc 35.547 (36.820)	lr 0.02819
Warmup Train [19][800/2134]	Time 0.641 (0.640)	Data 0.002 (0.021)	Loss 4.7109 (4.6801)	Top-1 acc 16.406 (16.746)	Top-5 acc 36.328 (36.845)	lr 0.02818
Warmup Train [19][810/2134]	Time 0.462 (0.639)	Data 0.027 (0.021)	Loss 4.7719 (4.6805)	Top-1 acc 14.453 (16.750)	Top-5 acc 34.766 (36.830)	lr 0.02817
Warmup Train [19][820/2134]	Time 0.415 (0.639)	Data 0.002 (0.021)	Loss 4.7574 (4.6805)	Top-1 acc 16.016 (16.749)	Top-5 acc 38.672 (36.841)	lr 0.02816
Warmup Train [19][830/2134]	Time 0.395 (0.638)	Data 0.002 (0.021)	Loss 4.7035 (4.6798)	Top-1 acc 19.922 (16.787)	Top-5 acc 33.984 (36.870)	lr 0.02816
Warmup Train [19][840/2134]	Time 0.475 (0.637)	Data 0.002 (0.021)	Loss 4.4786 (4.6791)	Top-1 acc 16.797 (16.793)	Top-5 acc 37.891 (36.880)	lr 0.02815
Warmup Train [19][850/2134]	Time 0.444 (0.637)	Data 0.002 (0.020)	Loss 4.6652 (4.6787)	Top-1 acc 16.797 (16.793)	Top-5 acc 40.234 (36.892)	lr 0.02814
Warmup Train [19][860/2134]	Time 2.303 (0.639)	Data 0.003 (0.020)	Loss 4.5671 (4.6790)	Top-1 acc 19.141 (16.790)	Top-5 acc 41.406 (36.879)	lr 0.02813
Warmup Train [19][870/2134]	Time 0.648 (0.638)	Data 0.003 (0.020)	Loss 4.7171 (4.6785)	Top-1 acc 13.672 (16.782)	Top-5 acc 32.031 (36.886)	lr 0.02812
Warmup Train [19][880/2134]	Time 0.772 (0.638)	Data 0.002 (0.020)	Loss 4.5071 (4.6785)	Top-1 acc 14.453 (16.769)	Top-5 acc 40.234 (36.892)	lr 0.02811
Warmup Train [19][890/2134]	Time 0.644 (0.638)	Data 0.002 (0.020)	Loss 4.7228 (4.6784)	Top-1 acc 13.672 (16.762)	Top-5 acc 35.547 (36.894)	lr 0.02810
Warmup Train [19][900/2134]	Time 0.598 (0.637)	Data 0.002 (0.020)	Loss 4.7497 (4.6783)	Top-1 acc 15.234 (16.754)	Top-5 acc 31.641 (36.879)	lr 0.02809
Warmup Train [19][910/2134]	Time 0.639 (0.637)	Data 0.002 (0.020)	Loss 4.7145 (4.6787)	Top-1 acc 14.453 (16.748)	Top-5 acc 37.891 (36.883)	lr 0.02808
Warmup Train [19][920/2134]	Time 0.569 (0.637)	Data 0.002 (0.020)	Loss 4.7325 (4.6785)	Top-1 acc 16.406 (16.751)	Top-5 acc 31.641 (36.888)	lr 0.02807
Warmup Train [19][930/2134]	Time 0.768 (0.637)	Data 0.002 (0.019)	Loss 4.6228 (4.6776)	Top-1 acc 17.188 (16.759)	Top-5 acc 37.891 (36.906)	lr 0.02806
Warmup Train [19][940/2134]	Time 0.593 (0.636)	Data 0.002 (0.019)	Loss 4.7683 (4.6776)	Top-1 acc 13.281 (16.757)	Top-5 acc 33.594 (36.904)	lr 0.02805
Warmup Train [19][950/2134]	Time 0.524 (0.636)	Data 0.003 (0.019)	Loss 4.6099 (4.6777)	Top-1 acc 19.141 (16.761)	Top-5 acc 41.016 (36.897)	lr 0.02805
Warmup Train [19][960/2134]	Time 0.639 (0.636)	Data 0.004 (0.019)	Loss 4.6935 (4.6779)	Top-1 acc 19.141 (16.756)	Top-5 acc 35.547 (36.914)	lr 0.02804
Warmup Train [19][970/2134]	Time 0.531 (0.635)	Data 0.002 (0.019)	Loss 4.6525 (4.6778)	Top-1 acc 14.453 (16.751)	Top-5 acc 33.594 (36.908)	lr 0.02803
Warmup Train [19][980/2134]	Time 0.695 (0.635)	Data 0.002 (0.019)	Loss 4.6491 (4.6783)	Top-1 acc 14.453 (16.740)	Top-5 acc 38.672 (36.888)	lr 0.02802
Warmup Train [19][990/2134]	Time 0.683 (0.635)	Data 0.003 (0.019)	Loss 4.5758 (4.6784)	Top-1 acc 16.016 (16.729)	Top-5 acc 36.719 (36.889)	lr 0.02801
Warmup Train [19][1000/2134]	Time 0.665 (0.635)	Data 0.003 (0.018)	Loss 4.5664 (4.6786)	Top-1 acc 21.875 (16.724)	Top-5 acc 41.406 (36.887)	lr 0.02800
Warmup Train [19][1010/2134]	Time 0.633 (0.635)	Data 0.002 (0.018)	Loss 4.5594 (4.6782)	Top-1 acc 18.359 (16.730)	Top-5 acc 40.625 (36.898)	lr 0.02799
Warmup Train [19][1020/2134]	Time 0.660 (0.635)	Data 0.002 (0.018)	Loss 4.6819 (4.6776)	Top-1 acc 20.312 (16.744)	Top-5 acc 38.281 (36.913)	lr 0.02798
Warmup Train [19][1030/2134]	Time 0.741 (0.635)	Data 0.002 (0.018)	Loss 4.7616 (4.6773)	Top-1 acc 13.672 (16.759)	Top-5 acc 30.469 (36.927)	lr 0.02797
Warmup Train [19][1040/2134]	Time 0.767 (0.634)	Data 0.002 (0.018)	Loss 4.5767 (4.6771)	Top-1 acc 17.969 (16.761)	Top-5 acc 38.281 (36.930)	lr 0.02796
Warmup Train [19][1050/2134]	Time 0.648 (0.636)	Data 0.002 (0.018)	Loss 4.5941 (4.6770)	Top-1 acc 17.969 (16.754)	Top-5 acc 38.281 (36.916)	lr 0.02795
Warmup Train [19][1060/2134]	Time 0.595 (0.635)	Data 0.002 (0.018)	Loss 4.6911 (4.6764)	Top-1 acc 18.359 (16.763)	Top-5 acc 40.234 (36.928)	lr 0.02795
Warmup Train [19][1070/2134]	Time 0.728 (0.635)	Data 0.002 (0.017)	Loss 4.6108 (4.6760)	Top-1 acc 17.188 (16.760)	Top-5 acc 36.328 (36.934)	lr 0.02794
Warmup Train [19][1080/2134]	Time 0.661 (0.635)	Data 0.002 (0.017)	Loss 4.6764 (4.6761)	Top-1 acc 14.844 (16.757)	Top-5 acc 39.062 (36.930)	lr 0.02793
Warmup Train [19][1090/2134]	Time 0.761 (0.635)	Data 0.003 (0.017)	Loss 4.6044 (4.6758)	Top-1 acc 18.750 (16.769)	Top-5 acc 40.625 (36.936)	lr 0.02792
Warmup Train [19][1100/2134]	Time 0.672 (0.635)	Data 0.002 (0.017)	Loss 4.5225 (4.6756)	Top-1 acc 21.094 (16.782)	Top-5 acc 42.578 (36.944)	lr 0.02791
Warmup Train [19][1110/2134]	Time 0.612 (0.634)	Data 0.002 (0.017)	Loss 4.6058 (4.6757)	Top-1 acc 15.625 (16.777)	Top-5 acc 37.109 (36.931)	lr 0.02790
Warmup Train [19][1120/2134]	Time 0.720 (0.634)	Data 0.004 (0.017)	Loss 4.5807 (4.6753)	Top-1 acc 17.969 (16.786)	Top-5 acc 42.188 (36.941)	lr 0.02789
Warmup Train [19][1130/2134]	Time 0.606 (0.634)	Data 0.002 (0.017)	Loss 4.6892 (4.6751)	Top-1 acc 17.578 (16.795)	Top-5 acc 35.547 (36.948)	lr 0.02788
Warmup Train [19][1140/2134]	Time 0.676 (0.634)	Data 0.002 (0.017)	Loss 4.7445 (4.6753)	Top-1 acc 14.453 (16.783)	Top-5 acc 37.500 (36.945)	lr 0.02787
Warmup Train [19][1150/2134]	Time 0.657 (0.634)	Data 0.002 (0.016)	Loss 4.6261 (4.6750)	Top-1 acc 17.969 (16.787)	Top-5 acc 36.328 (36.946)	lr 0.02786
Warmup Train [19][1160/2134]	Time 0.642 (0.634)	Data 0.004 (0.016)	Loss 4.7152 (4.6751)	Top-1 acc 15.625 (16.789)	Top-5 acc 34.766 (36.937)	lr 0.02785
Warmup Train [19][1170/2134]	Time 0.632 (0.634)	Data 0.002 (0.016)	Loss 4.6319 (4.6751)	Top-1 acc 15.234 (16.779)	Top-5 acc 39.062 (36.929)	lr 0.02784
Warmup Train [19][1180/2134]	Time 0.660 (0.634)	Data 0.002 (0.016)	Loss 4.7178 (4.6752)	Top-1 acc 14.062 (16.784)	Top-5 acc 33.984 (36.927)	lr 0.02784
Warmup Train [19][1190/2134]	Time 0.692 (0.633)	Data 0.002 (0.016)	Loss 4.6339 (4.6749)	Top-1 acc 20.703 (16.796)	Top-5 acc 41.016 (36.937)	lr 0.02783
Warmup Train [19][1200/2134]	Time 0.563 (0.633)	Data 0.002 (0.016)	Loss 4.5450 (4.6749)	Top-1 acc 23.047 (16.799)	Top-5 acc 41.797 (36.942)	lr 0.02782
Warmup Train [19][1210/2134]	Time 0.617 (0.633)	Data 0.003 (0.016)	Loss 4.6295 (4.6746)	Top-1 acc 16.016 (16.796)	Top-5 acc 39.062 (36.949)	lr 0.02781
Warmup Train [19][1220/2134]	Time 2.445 (0.634)	Data 0.002 (0.016)	Loss 4.6796 (4.6747)	Top-1 acc 16.016 (16.798)	Top-5 acc 36.328 (36.959)	lr 0.02780
Warmup Train [19][1230/2134]	Time 0.587 (0.634)	Data 0.002 (0.016)	Loss 4.6115 (4.6746)	Top-1 acc 14.844 (16.801)	Top-5 acc 36.328 (36.952)	lr 0.02779
Warmup Train [19][1240/2134]	Time 0.690 (0.634)	Data 0.002 (0.016)	Loss 4.6809 (4.6746)	Top-1 acc 16.016 (16.796)	Top-5 acc 38.281 (36.955)	lr 0.02778
Warmup Train [19][1250/2134]	Time 0.607 (0.634)	Data 0.002 (0.016)	Loss 4.6099 (4.6743)	Top-1 acc 18.359 (16.805)	Top-5 acc 40.625 (36.955)	lr 0.02777
Warmup Train [19][1260/2134]	Time 0.453 (0.633)	Data 0.002 (0.015)	Loss 4.7597 (4.6740)	Top-1 acc 13.672 (16.814)	Top-5 acc 35.547 (36.963)	lr 0.02776
Warmup Train [19][1270/2134]	Time 0.693 (0.633)	Data 0.002 (0.015)	Loss 4.7693 (4.6740)	Top-1 acc 16.797 (16.806)	Top-5 acc 39.062 (36.967)	lr 0.02775
Warmup Train [19][1280/2134]	Time 0.412 (0.633)	Data 0.002 (0.015)	Loss 4.7856 (4.6744)	Top-1 acc 19.141 (16.803)	Top-5 acc 35.938 (36.964)	lr 0.02774
Warmup Train [19][1290/2134]	Time 0.674 (0.633)	Data 0.002 (0.015)	Loss 4.6553 (4.6745)	Top-1 acc 21.094 (16.806)	Top-5 acc 36.328 (36.953)	lr 0.02774
Warmup Train [19][1300/2134]	Time 0.556 (0.633)	Data 0.002 (0.015)	Loss 4.8651 (4.6742)	Top-1 acc 13.672 (16.810)	Top-5 acc 31.641 (36.960)	lr 0.02773
Warmup Train [19][1310/2134]	Time 0.567 (0.633)	Data 0.002 (0.015)	Loss 4.8417 (4.6741)	Top-1 acc 13.672 (16.811)	Top-5 acc 32.812 (36.961)	lr 0.02772
Warmup Train [19][1320/2134]	Time 0.483 (0.632)	Data 0.002 (0.015)	Loss 4.5580 (4.6738)	Top-1 acc 16.016 (16.818)	Top-5 acc 37.109 (36.966)	lr 0.02771
Warmup Train [19][1330/2134]	Time 0.577 (0.632)	Data 0.002 (0.015)	Loss 4.4871 (4.6737)	Top-1 acc 19.922 (16.816)	Top-5 acc 39.844 (36.963)	lr 0.02770
Warmup Train [19][1340/2134]	Time 0.664 (0.632)	Data 0.002 (0.015)	Loss 4.5821 (4.6737)	Top-1 acc 16.797 (16.818)	Top-5 acc 42.188 (36.966)	lr 0.02769
Warmup Train [19][1350/2134]	Time 0.428 (0.632)	Data 0.002 (0.015)	Loss 4.8509 (4.6741)	Top-1 acc 13.281 (16.810)	Top-5 acc 31.250 (36.950)	lr 0.02768
Warmup Train [19][1360/2134]	Time 0.426 (0.631)	Data 0.003 (0.015)	Loss 4.8372 (4.6741)	Top-1 acc 12.891 (16.810)	Top-5 acc 32.422 (36.947)	lr 0.02767
Warmup Train [19][1370/2134]	Time 0.526 (0.631)	Data 0.002 (0.015)	Loss 4.4548 (4.6737)	Top-1 acc 21.484 (16.810)	Top-5 acc 44.922 (36.961)	lr 0.02766
Warmup Train [19][1380/2134]	Time 0.701 (0.632)	Data 0.002 (0.015)	Loss 4.6774 (4.6738)	Top-1 acc 18.359 (16.808)	Top-5 acc 33.594 (36.949)	lr 0.02765
Warmup Train [19][1390/2134]	Time 0.571 (0.631)	Data 0.002 (0.015)	Loss 4.7921 (4.6736)	Top-1 acc 14.844 (16.806)	Top-5 acc 35.156 (36.956)	lr 0.02764
Warmup Train [19][1400/2134]	Time 0.786 (0.631)	Data 0.002 (0.015)	Loss 4.6617 (4.6737)	Top-1 acc 19.531 (16.812)	Top-5 acc 39.453 (36.959)	lr 0.02763
Warmup Train [19][1410/2134]	Time 0.639 (0.632)	Data 0.002 (0.015)	Loss 4.5558 (4.6737)	Top-1 acc 17.969 (16.805)	Top-5 acc 41.797 (36.959)	lr 0.02763
Warmup Train [19][1420/2134]	Time 0.688 (0.632)	Data 0.002 (0.015)	Loss 4.5469 (4.6732)	Top-1 acc 20.312 (16.813)	Top-5 acc 39.844 (36.963)	lr 0.02762
Warmup Train [19][1430/2134]	Time 0.463 (0.632)	Data 0.034 (0.015)	Loss 4.6957 (4.6731)	Top-1 acc 15.625 (16.812)	Top-5 acc 40.234 (36.968)	lr 0.02761
Warmup Train [19][1440/2134]	Time 0.617 (0.632)	Data 0.002 (0.015)	Loss 4.5457 (4.6726)	Top-1 acc 19.141 (16.813)	Top-5 acc 39.844 (36.983)	lr 0.02760
Warmup Train [19][1450/2134]	Time 0.631 (0.632)	Data 0.002 (0.015)	Loss 4.7222 (4.6725)	Top-1 acc 14.453 (16.814)	Top-5 acc 35.547 (36.986)	lr 0.02759
Warmup Train [19][1460/2134]	Time 0.612 (0.632)	Data 0.002 (0.015)	Loss 4.4556 (4.6721)	Top-1 acc 23.438 (16.826)	Top-5 acc 41.797 (36.990)	lr 0.02758
Warmup Train [19][1470/2134]	Time 0.632 (0.632)	Data 0.002 (0.015)	Loss 4.5428 (4.6719)	Top-1 acc 19.141 (16.831)	Top-5 acc 37.109 (36.994)	lr 0.02757
Warmup Train [19][1480/2134]	Time 0.552 (0.631)	Data 0.002 (0.015)	Loss 4.5675 (4.6714)	Top-1 acc 19.531 (16.844)	Top-5 acc 36.328 (37.005)	lr 0.02756
Warmup Train [19][1490/2134]	Time 0.738 (0.631)	Data 0.003 (0.014)	Loss 4.6748 (4.6714)	Top-1 acc 16.406 (16.842)	Top-5 acc 34.375 (37.002)	lr 0.02755
Warmup Train [19][1500/2134]	Time 0.653 (0.631)	Data 0.002 (0.014)	Loss 4.6146 (4.6712)	Top-1 acc 16.406 (16.842)	Top-5 acc 41.797 (37.008)	lr 0.02754
Warmup Train [19][1510/2134]	Time 0.751 (0.631)	Data 0.002 (0.014)	Loss 4.6991 (4.6713)	Top-1 acc 15.625 (16.840)	Top-5 acc 40.234 (37.006)	lr 0.02753
Warmup Train [19][1520/2134]	Time 0.670 (0.631)	Data 0.002 (0.014)	Loss 4.6072 (4.6713)	Top-1 acc 19.141 (16.841)	Top-5 acc 37.891 (37.006)	lr 0.02752
Warmup Train [19][1530/2134]	Time 0.537 (0.631)	Data 0.005 (0.014)	Loss 4.7332 (4.6711)	Top-1 acc 17.188 (16.846)	Top-5 acc 34.766 (37.009)	lr 0.02752
Warmup Train [19][1540/2134]	Time 0.587 (0.631)	Data 0.002 (0.014)	Loss 4.5251 (4.6709)	Top-1 acc 17.969 (16.838)	Top-5 acc 41.797 (37.016)	lr 0.02751
Warmup Train [19][1550/2134]	Time 0.487 (0.631)	Data 0.002 (0.014)	Loss 4.6995 (4.6708)	Top-1 acc 18.359 (16.844)	Top-5 acc 35.938 (37.021)	lr 0.02750
Warmup Train [19][1560/2134]	Time 0.655 (0.630)	Data 0.004 (0.014)	Loss 4.5521 (4.6704)	Top-1 acc 19.531 (16.849)	Top-5 acc 42.188 (37.033)	lr 0.02749
Warmup Train [19][1570/2134]	Time 0.794 (0.630)	Data 0.002 (0.014)	Loss 4.7258 (4.6701)	Top-1 acc 12.891 (16.849)	Top-5 acc 34.375 (37.037)	lr 0.02748
Warmup Train [19][1580/2134]	Time 0.482 (0.630)	Data 0.003 (0.014)	Loss 4.8367 (4.6699)	Top-1 acc 14.453 (16.851)	Top-5 acc 33.203 (37.043)	lr 0.02747
Warmup Train [19][1590/2134]	Time 0.520 (0.631)	Data 0.004 (0.014)	Loss 4.6233 (4.6696)	Top-1 acc 14.844 (16.858)	Top-5 acc 36.328 (37.049)	lr 0.02746
Warmup Train [19][1600/2134]	Time 0.839 (0.631)	Data 0.002 (0.014)	Loss 4.6977 (4.6696)	Top-1 acc 14.844 (16.855)	Top-5 acc 35.938 (37.048)	lr 0.02745
Warmup Train [19][1610/2134]	Time 0.675 (0.631)	Data 0.002 (0.014)	Loss 4.5449 (4.6693)	Top-1 acc 16.406 (16.860)	Top-5 acc 38.672 (37.057)	lr 0.02744
Warmup Train [19][1620/2134]	Time 0.635 (0.631)	Data 0.002 (0.014)	Loss 4.5782 (4.6688)	Top-1 acc 21.875 (16.873)	Top-5 acc 41.406 (37.066)	lr 0.02743
Warmup Train [19][1630/2134]	Time 0.696 (0.631)	Data 0.002 (0.014)	Loss 4.5723 (4.6688)	Top-1 acc 16.406 (16.877)	Top-5 acc 39.453 (37.069)	lr 0.02742
Warmup Train [19][1640/2134]	Time 0.715 (0.630)	Data 0.002 (0.014)	Loss 4.7198 (4.6689)	Top-1 acc 16.797 (16.883)	Top-5 acc 36.328 (37.070)	lr 0.02741
Warmup Train [19][1650/2134]	Time 0.515 (0.630)	Data 0.002 (0.014)	Loss 4.5182 (4.6685)	Top-1 acc 20.312 (16.883)	Top-5 acc 39.844 (37.078)	lr 0.02741
Warmup Train [19][1660/2134]	Time 0.600 (0.630)	Data 0.002 (0.014)	Loss 4.5384 (4.6685)	Top-1 acc 16.797 (16.884)	Top-5 acc 39.844 (37.080)	lr 0.02740
Warmup Train [19][1670/2134]	Time 0.663 (0.630)	Data 0.002 (0.014)	Loss 4.6787 (4.6683)	Top-1 acc 16.406 (16.879)	Top-5 acc 33.984 (37.087)	lr 0.02739
Warmup Train [19][1680/2134]	Time 0.643 (0.630)	Data 0.002 (0.014)	Loss 4.5836 (4.6680)	Top-1 acc 21.094 (16.888)	Top-5 acc 41.406 (37.103)	lr 0.02738
Warmup Train [19][1690/2134]	Time 0.445 (0.630)	Data 0.002 (0.013)	Loss 4.5003 (4.6677)	Top-1 acc 19.531 (16.887)	Top-5 acc 40.625 (37.114)	lr 0.02737
Warmup Train [19][1700/2134]	Time 0.721 (0.630)	Data 0.003 (0.013)	Loss 4.5190 (4.6678)	Top-1 acc 20.312 (16.885)	Top-5 acc 39.062 (37.114)	lr 0.02736
Warmup Train [19][1710/2134]	Time 0.623 (0.630)	Data 0.002 (0.013)	Loss 4.5946 (4.6675)	Top-1 acc 16.406 (16.887)	Top-5 acc 39.453 (37.123)	lr 0.02735
Warmup Train [19][1720/2134]	Time 0.549 (0.629)	Data 0.002 (0.013)	Loss 4.7423 (4.6676)	Top-1 acc 14.844 (16.884)	Top-5 acc 34.375 (37.117)	lr 0.02734
Warmup Train [19][1730/2134]	Time 0.598 (0.629)	Data 0.002 (0.013)	Loss 4.7521 (4.6676)	Top-1 acc 16.016 (16.879)	Top-5 acc 36.719 (37.111)	lr 0.02733
Warmup Train [19][1740/2134]	Time 0.676 (0.629)	Data 0.002 (0.013)	Loss 4.5985 (4.6673)	Top-1 acc 19.922 (16.881)	Top-5 acc 39.844 (37.117)	lr 0.02732
Warmup Train [19][1750/2134]	Time 0.753 (0.629)	Data 0.002 (0.013)	Loss 4.6922 (4.6673)	Top-1 acc 17.969 (16.879)	Top-5 acc 37.109 (37.117)	lr 0.02731
Warmup Train [19][1760/2134]	Time 0.669 (0.629)	Data 0.002 (0.013)	Loss 4.6015 (4.6673)	Top-1 acc 17.188 (16.879)	Top-5 acc 37.891 (37.117)	lr 0.02731
Warmup Train [19][1770/2134]	Time 0.529 (0.630)	Data 0.002 (0.013)	Loss 4.6665 (4.6672)	Top-1 acc 18.359 (16.876)	Top-5 acc 35.938 (37.121)	lr 0.02730
Warmup Train [19][1780/2134]	Time 0.626 (0.630)	Data 0.003 (0.013)	Loss 4.6270 (4.6671)	Top-1 acc 19.922 (16.872)	Top-5 acc 38.281 (37.125)	lr 0.02729
Warmup Train [19][1790/2134]	Time 0.669 (0.630)	Data 0.002 (0.013)	Loss 4.5377 (4.6671)	Top-1 acc 18.359 (16.871)	Top-5 acc 41.406 (37.125)	lr 0.02728
Warmup Train [19][1800/2134]	Time 0.620 (0.629)	Data 0.002 (0.013)	Loss 4.6938 (4.6672)	Top-1 acc 16.016 (16.865)	Top-5 acc 35.547 (37.114)	lr 0.02727
Warmup Train [19][1810/2134]	Time 0.713 (0.629)	Data 0.002 (0.013)	Loss 4.6227 (4.6671)	Top-1 acc 20.703 (16.868)	Top-5 acc 41.016 (37.121)	lr 0.02726
Warmup Train [19][1820/2134]	Time 0.401 (0.629)	Data 0.002 (0.013)	Loss 4.5746 (4.6667)	Top-1 acc 19.922 (16.881)	Top-5 acc 42.578 (37.128)	lr 0.02725
Warmup Train [19][1830/2134]	Time 0.642 (0.629)	Data 0.002 (0.013)	Loss 4.7919 (4.6671)	Top-1 acc 16.016 (16.876)	Top-5 acc 37.500 (37.117)	lr 0.02724
Warmup Train [19][1840/2134]	Time 0.722 (0.629)	Data 0.002 (0.013)	Loss 4.6817 (4.6670)	Top-1 acc 17.188 (16.875)	Top-5 acc 35.938 (37.118)	lr 0.02723
Warmup Train [19][1850/2134]	Time 0.646 (0.629)	Data 0.002 (0.013)	Loss 4.6631 (4.6669)	Top-1 acc 16.016 (16.879)	Top-5 acc 37.109 (37.120)	lr 0.02722
Warmup Train [19][1860/2134]	Time 0.688 (0.629)	Data 0.002 (0.013)	Loss 4.5774 (4.6670)	Top-1 acc 16.016 (16.881)	Top-5 acc 39.844 (37.121)	lr 0.02721
Warmup Train [19][1870/2134]	Time 0.654 (0.628)	Data 0.002 (0.013)	Loss 4.4540 (4.6670)	Top-1 acc 17.578 (16.884)	Top-5 acc 40.625 (37.123)	lr 0.02720
Warmup Train [19][1880/2134]	Time 0.633 (0.628)	Data 0.003 (0.013)	Loss 4.5654 (4.6669)	Top-1 acc 16.797 (16.881)	Top-5 acc 37.500 (37.126)	lr 0.02720
Warmup Train [19][1890/2134]	Time 0.529 (0.628)	Data 0.003 (0.013)	Loss 4.5425 (4.6668)	Top-1 acc 17.969 (16.878)	Top-5 acc 41.797 (37.127)	lr 0.02719
Warmup Train [19][1900/2134]	Time 0.537 (0.628)	Data 0.002 (0.013)	Loss 4.6397 (4.6668)	Top-1 acc 16.797 (16.878)	Top-5 acc 36.719 (37.126)	lr 0.02718
Warmup Train [19][1910/2134]	Time 0.780 (0.628)	Data 0.002 (0.013)	Loss 4.6391 (4.6667)	Top-1 acc 13.672 (16.879)	Top-5 acc 35.938 (37.129)	lr 0.02717
Warmup Train [19][1920/2134]	Time 0.621 (0.628)	Data 0.002 (0.013)	Loss 4.6252 (4.6665)	Top-1 acc 17.969 (16.883)	Top-5 acc 41.797 (37.138)	lr 0.02716
Warmup Train [19][1930/2134]	Time 0.642 (0.628)	Data 0.002 (0.013)	Loss 4.6604 (4.6663)	Top-1 acc 13.672 (16.886)	Top-5 acc 37.109 (37.142)	lr 0.02715
Warmup Train [19][1940/2134]	Time 0.523 (0.628)	Data 0.002 (0.013)	Loss 4.6878 (4.6664)	Top-1 acc 14.844 (16.890)	Top-5 acc 34.766 (37.141)	lr 0.02714
Warmup Train [19][1950/2134]	Time 2.534 (0.628)	Data 0.003 (0.013)	Loss 4.6887 (4.6666)	Top-1 acc 13.281 (16.884)	Top-5 acc 37.500 (37.131)	lr 0.02713
Warmup Train [19][1960/2134]	Time 0.533 (0.628)	Data 0.003 (0.013)	Loss 4.7179 (4.6668)	Top-1 acc 18.750 (16.887)	Top-5 acc 34.766 (37.131)	lr 0.02712
Warmup Train [19][1970/2134]	Time 0.473 (0.628)	Data 0.002 (0.013)	Loss 4.8837 (4.6669)	Top-1 acc 12.891 (16.886)	Top-5 acc 28.906 (37.128)	lr 0.02711
Warmup Train [19][1980/2134]	Time 0.661 (0.628)	Data 0.002 (0.013)	Loss 4.6333 (4.6666)	Top-1 acc 17.578 (16.890)	Top-5 acc 39.453 (37.141)	lr 0.02710
Warmup Train [19][1990/2134]	Time 0.543 (0.628)	Data 0.002 (0.013)	Loss 4.7573 (4.6665)	Top-1 acc 17.188 (16.891)	Top-5 acc 37.500 (37.143)	lr 0.02709
Warmup Train [19][2000/2134]	Time 0.618 (0.628)	Data 0.002 (0.013)	Loss 4.6080 (4.6663)	Top-1 acc 15.234 (16.893)	Top-5 acc 38.281 (37.150)	lr 0.02709
Warmup Train [19][2010/2134]	Time 0.700 (0.628)	Data 0.002 (0.013)	Loss 4.6960 (4.6663)	Top-1 acc 13.672 (16.893)	Top-5 acc 34.766 (37.147)	lr 0.02708
Warmup Train [19][2020/2134]	Time 0.537 (0.628)	Data 0.002 (0.012)	Loss 4.5647 (4.6662)	Top-1 acc 19.922 (16.900)	Top-5 acc 44.922 (37.154)	lr 0.02707
Warmup Train [19][2030/2134]	Time 0.465 (0.628)	Data 0.002 (0.013)	Loss 4.4602 (4.6662)	Top-1 acc 19.922 (16.897)	Top-5 acc 43.359 (37.155)	lr 0.02706
Warmup Train [19][2040/2134]	Time 0.680 (0.628)	Data 0.002 (0.013)	Loss 4.7817 (4.6661)	Top-1 acc 13.672 (16.898)	Top-5 acc 32.812 (37.155)	lr 0.02705
Warmup Train [19][2050/2134]	Time 0.599 (0.628)	Data 0.002 (0.012)	Loss 4.6982 (4.6659)	Top-1 acc 19.922 (16.901)	Top-5 acc 37.891 (37.160)	lr 0.02704
Warmup Train [19][2060/2134]	Time 0.468 (0.627)	Data 0.002 (0.012)	Loss 4.5560 (4.6658)	Top-1 acc 14.453 (16.900)	Top-5 acc 41.797 (37.163)	lr 0.02703
Warmup Train [19][2070/2134]	Time 0.741 (0.627)	Data 0.001 (0.012)	Loss 4.5187 (4.6655)	Top-1 acc 18.359 (16.897)	Top-5 acc 39.844 (37.162)	lr 0.02702
Warmup Train [19][2080/2134]	Time 0.682 (0.627)	Data 0.000 (0.012)	Loss 4.7196 (4.6654)	Top-1 acc 16.016 (16.900)	Top-5 acc 39.062 (37.166)	lr 0.02701
Warmup Train [19][2090/2134]	Time 0.674 (0.627)	Data 0.000 (0.012)	Loss 4.5661 (4.6653)	Top-1 acc 18.359 (16.901)	Top-5 acc 39.453 (37.173)	lr 0.02700
Warmup Train [19][2100/2134]	Time 0.585 (0.627)	Data 0.000 (0.012)	Loss 4.5460 (4.6650)	Top-1 acc 19.922 (16.900)	Top-5 acc 39.844 (37.174)	lr 0.02699
Warmup Train [19][2110/2134]	Time 0.483 (0.627)	Data 0.000 (0.012)	Loss 4.5388 (4.6650)	Top-1 acc 16.797 (16.901)	Top-5 acc 40.234 (37.177)	lr 0.02698
Warmup Train [19][2120/2134]	Time 0.632 (0.627)	Data 0.000 (0.012)	Loss 4.7489 (4.6649)	Top-1 acc 12.891 (16.898)	Top-5 acc 32.422 (37.178)	lr 0.02698
Warmup Train [19][2130/2134]	Time 0.761 (0.626)	Data 0.000 (0.012)	Loss 4.8365 (4.6648)	Top-1 acc 16.797 (16.904)	Top-5 acc 34.766 (37.181)	lr 0.02697
Warmup Train [19][2134/2134]	Time 0.576 (0.626)	Data 0.000 (0.012)	Loss 4.6439 (4.6649)	Top-1 acc 13.904 (16.899)	Top-5 acc 38.503 (37.179)	lr 0.02696
==========Warmup Valid [19/40]	loss 3.799	top-1 acc 22.815	top-5 acc 46.423	Train top-1 16.899	top-5 37.179	flops: 442.4M
Warmup Train [20][0/2134]	Time 13.808 (13.808)	Data 11.311 (11.311)	Loss 4.5264 (4.5264)	Top-1 acc 19.922 (19.922)	Top-5 acc 41.406 (41.406)	lr 0.02696
Warmup Train [20][10/2134]	Time 0.647 (1.879)	Data 0.003 (1.031)	Loss 4.6410 (4.6559)	Top-1 acc 16.797 (16.477)	Top-5 acc 35.938 (37.003)	lr 0.02695
Warmup Train [20][20/2134]	Time 0.707 (1.273)	Data 0.002 (0.542)	Loss 4.6072 (4.6482)	Top-1 acc 12.500 (16.220)	Top-5 acc 37.500 (37.388)	lr 0.02694
Warmup Train [20][30/2134]	Time 0.597 (1.066)	Data 0.002 (0.368)	Loss 4.7135 (4.6500)	Top-1 acc 15.625 (16.545)	Top-5 acc 37.109 (37.563)	lr 0.02693
Warmup Train [20][40/2134]	Time 0.717 (0.955)	Data 0.002 (0.279)	Loss 4.6462 (4.6331)	Top-1 acc 18.750 (17.064)	Top-5 acc 37.891 (37.891)	lr 0.02692
Warmup Train [20][50/2134]	Time 0.724 (0.888)	Data 0.002 (0.225)	Loss 4.4880 (4.6264)	Top-1 acc 23.438 (17.249)	Top-5 acc 40.625 (37.998)	lr 0.02692
Warmup Train [20][60/2134]	Time 0.535 (0.844)	Data 0.002 (0.189)	Loss 4.4792 (4.6183)	Top-1 acc 17.969 (17.175)	Top-5 acc 43.750 (38.160)	lr 0.02691
Warmup Train [20][70/2134]	Time 0.449 (0.811)	Data 0.002 (0.164)	Loss 4.7893 (4.6177)	Top-1 acc 13.281 (17.204)	Top-5 acc 30.859 (38.193)	lr 0.02690
Warmup Train [20][80/2134]	Time 0.506 (0.789)	Data 0.002 (0.146)	Loss 4.4935 (4.6138)	Top-1 acc 22.656 (17.376)	Top-5 acc 42.188 (38.344)	lr 0.02689
Warmup Train [20][90/2134]	Time 0.663 (0.774)	Data 0.003 (0.132)	Loss 4.8514 (4.6178)	Top-1 acc 16.797 (17.333)	Top-5 acc 32.422 (38.277)	lr 0.02688
Warmup Train [20][100/2134]	Time 0.505 (0.757)	Data 0.002 (0.119)	Loss 4.7093 (4.6198)	Top-1 acc 16.016 (17.296)	Top-5 acc 37.891 (38.208)	lr 0.02687
Warmup Train [20][110/2134]	Time 0.704 (0.748)	Data 0.002 (0.109)	Loss 4.6368 (4.6188)	Top-1 acc 17.188 (17.356)	Top-5 acc 35.547 (38.151)	lr 0.02686
Warmup Train [20][120/2134]	Time 0.519 (0.736)	Data 0.002 (0.101)	Loss 4.6291 (4.6193)	Top-1 acc 15.234 (17.378)	Top-5 acc 36.719 (38.130)	lr 0.02685
Warmup Train [20][130/2134]	Time 0.763 (0.728)	Data 0.002 (0.094)	Loss 4.5607 (4.6174)	Top-1 acc 16.016 (17.405)	Top-5 acc 39.844 (38.171)	lr 0.02684
Warmup Train [20][140/2134]	Time 0.757 (0.720)	Data 0.004 (0.087)	Loss 4.8136 (4.6234)	Top-1 acc 14.062 (17.351)	Top-5 acc 34.375 (38.051)	lr 0.02683
Warmup Train [20][150/2134]	Time 0.433 (0.711)	Data 0.002 (0.082)	Loss 4.5916 (4.6250)	Top-1 acc 17.578 (17.327)	Top-5 acc 39.844 (38.004)	lr 0.02682
Warmup Train [20][160/2134]	Time 0.431 (0.705)	Data 0.003 (0.078)	Loss 4.7314 (4.6262)	Top-1 acc 15.234 (17.326)	Top-5 acc 31.641 (37.995)	lr 0.02681
Warmup Train [20][170/2134]	Time 0.656 (0.712)	Data 0.003 (0.074)	Loss 4.7979 (4.6273)	Top-1 acc 20.312 (17.368)	Top-5 acc 36.328 (38.023)	lr 0.02681
Warmup Train [20][180/2134]	Time 0.537 (0.707)	Data 0.003 (0.070)	Loss 4.6196 (4.6281)	Top-1 acc 17.578 (17.332)	Top-5 acc 35.938 (37.966)	lr 0.02680
Warmup Train [20][190/2134]	Time 0.664 (0.701)	Data 0.002 (0.067)	Loss 4.5042 (4.6301)	Top-1 acc 17.969 (17.308)	Top-5 acc 39.844 (37.938)	lr 0.02679
Warmup Train [20][200/2134]	Time 0.579 (0.695)	Data 0.002 (0.064)	Loss 4.6218 (4.6319)	Top-1 acc 17.188 (17.234)	Top-5 acc 40.625 (37.929)	lr 0.02678
Warmup Train [20][210/2134]	Time 0.619 (0.691)	Data 0.002 (0.061)	Loss 4.7577 (4.6336)	Top-1 acc 16.797 (17.215)	Top-5 acc 33.203 (37.892)	lr 0.02677
Warmup Train [20][220/2134]	Time 0.674 (0.688)	Data 0.003 (0.058)	Loss 4.5511 (4.6327)	Top-1 acc 19.141 (17.237)	Top-5 acc 37.891 (37.889)	lr 0.02676
Warmup Train [20][230/2134]	Time 0.728 (0.685)	Data 0.003 (0.056)	Loss 4.4895 (4.6301)	Top-1 acc 18.750 (17.296)	Top-5 acc 41.797 (37.951)	lr 0.02675
Warmup Train [20][240/2134]	Time 0.781 (0.681)	Data 0.003 (0.054)	Loss 4.5625 (4.6303)	Top-1 acc 21.094 (17.317)	Top-5 acc 41.016 (37.964)	lr 0.02674
Warmup Train [20][250/2134]	Time 0.525 (0.679)	Data 0.002 (0.052)	Loss 4.6160 (4.6325)	Top-1 acc 18.359 (17.273)	Top-5 acc 37.891 (37.931)	lr 0.02673
Warmup Train [20][260/2134]	Time 0.469 (0.676)	Data 0.002 (0.050)	Loss 4.5238 (4.6317)	Top-1 acc 21.875 (17.276)	Top-5 acc 45.312 (37.953)	lr 0.02672
Warmup Train [20][270/2134]	Time 0.708 (0.676)	Data 0.003 (0.049)	Loss 4.7454 (4.6319)	Top-1 acc 14.453 (17.297)	Top-5 acc 33.594 (37.961)	lr 0.02671
Warmup Train [20][280/2134]	Time 0.677 (0.675)	Data 0.002 (0.047)	Loss 4.4995 (4.6297)	Top-1 acc 21.094 (17.374)	Top-5 acc 39.062 (37.988)	lr 0.02670
Warmup Train [20][290/2134]	Time 0.648 (0.673)	Data 0.002 (0.046)	Loss 4.5972 (4.6295)	Top-1 acc 17.969 (17.354)	Top-5 acc 42.969 (37.986)	lr 0.02670
Warmup Train [20][300/2134]	Time 0.644 (0.671)	Data 0.003 (0.044)	Loss 4.7252 (4.6309)	Top-1 acc 17.578 (17.346)	Top-5 acc 39.062 (37.966)	lr 0.02669
Warmup Train [20][310/2134]	Time 0.764 (0.669)	Data 0.004 (0.043)	Loss 4.6721 (4.6310)	Top-1 acc 15.625 (17.342)	Top-5 acc 36.328 (37.938)	lr 0.02668
Warmup Train [20][320/2134]	Time 0.625 (0.667)	Data 0.003 (0.042)	Loss 4.4926 (4.6305)	Top-1 acc 21.484 (17.342)	Top-5 acc 42.188 (37.972)	lr 0.02667
Warmup Train [20][330/2134]	Time 0.593 (0.666)	Data 0.002 (0.041)	Loss 4.7786 (4.6310)	Top-1 acc 13.281 (17.318)	Top-5 acc 32.422 (37.964)	lr 0.02666
Warmup Train [20][340/2134]	Time 0.732 (0.664)	Data 0.002 (0.040)	Loss 4.6348 (4.6315)	Top-1 acc 15.234 (17.275)	Top-5 acc 39.062 (37.963)	lr 0.02665
Warmup Train [20][350/2134]	Time 0.542 (0.663)	Data 0.002 (0.038)	Loss 4.6458 (4.6308)	Top-1 acc 17.969 (17.301)	Top-5 acc 37.891 (37.955)	lr 0.02664
Warmup Train [20][360/2134]	Time 0.698 (0.667)	Data 0.002 (0.038)	Loss 4.4826 (4.6316)	Top-1 acc 16.016 (17.275)	Top-5 acc 39.062 (37.919)	lr 0.02663
Warmup Train [20][370/2134]	Time 0.515 (0.665)	Data 0.002 (0.037)	Loss 4.5439 (4.6305)	Top-1 acc 17.578 (17.288)	Top-5 acc 41.406 (37.986)	lr 0.02662
Warmup Train [20][380/2134]	Time 0.556 (0.663)	Data 0.002 (0.036)	Loss 4.4799 (4.6297)	Top-1 acc 19.922 (17.298)	Top-5 acc 40.234 (38.008)	lr 0.02661
Warmup Train [20][390/2134]	Time 0.639 (0.662)	Data 0.004 (0.036)	Loss 4.5930 (4.6291)	Top-1 acc 14.062 (17.315)	Top-5 acc 39.062 (38.041)	lr 0.02660
Warmup Train [20][400/2134]	Time 0.634 (0.660)	Data 0.003 (0.035)	Loss 4.8591 (4.6290)	Top-1 acc 17.578 (17.320)	Top-5 acc 35.547 (38.029)	lr 0.02659
Warmup Train [20][410/2134]	Time 0.503 (0.659)	Data 0.002 (0.034)	Loss 4.6601 (4.6280)	Top-1 acc 17.578 (17.350)	Top-5 acc 35.547 (38.028)	lr 0.02659
Warmup Train [20][420/2134]	Time 0.697 (0.658)	Data 0.002 (0.034)	Loss 4.6044 (4.6294)	Top-1 acc 19.922 (17.336)	Top-5 acc 40.234 (38.006)	lr 0.02658
Warmup Train [20][430/2134]	Time 0.641 (0.657)	Data 0.002 (0.033)	Loss 4.5006 (4.6283)	Top-1 acc 18.359 (17.365)	Top-5 acc 39.844 (38.026)	lr 0.02657
Warmup Train [20][440/2134]	Time 0.507 (0.656)	Data 0.003 (0.033)	Loss 4.6290 (4.6277)	Top-1 acc 15.625 (17.374)	Top-5 acc 34.766 (38.041)	lr 0.02656
Warmup Train [20][450/2134]	Time 0.726 (0.655)	Data 0.002 (0.032)	Loss 4.5658 (4.6274)	Top-1 acc 17.188 (17.405)	Top-5 acc 43.359 (38.058)	lr 0.02655
Warmup Train [20][460/2134]	Time 0.652 (0.654)	Data 0.002 (0.031)	Loss 4.7133 (4.6273)	Top-1 acc 15.625 (17.388)	Top-5 acc 35.156 (38.047)	lr 0.02654
Warmup Train [20][470/2134]	Time 0.460 (0.652)	Data 0.002 (0.031)	Loss 4.5413 (4.6267)	Top-1 acc 19.531 (17.384)	Top-5 acc 38.672 (38.058)	lr 0.02653
Warmup Train [20][480/2134]	Time 0.698 (0.652)	Data 0.002 (0.031)	Loss 4.5592 (4.6262)	Top-1 acc 19.922 (17.391)	Top-5 acc 38.672 (38.057)	lr 0.02652
Warmup Train [20][490/2134]	Time 0.447 (0.651)	Data 0.002 (0.030)	Loss 4.5523 (4.6256)	Top-1 acc 17.188 (17.390)	Top-5 acc 41.797 (38.070)	lr 0.02651
Warmup Train [20][500/2134]	Time 0.693 (0.651)	Data 0.002 (0.030)	Loss 4.5769 (4.6249)	Top-1 acc 19.141 (17.403)	Top-5 acc 39.062 (38.087)	lr 0.02650
Warmup Train [20][510/2134]	Time 0.621 (0.650)	Data 0.002 (0.029)	Loss 4.6505 (4.6259)	Top-1 acc 13.672 (17.382)	Top-5 acc 32.812 (38.068)	lr 0.02649
Warmup Train [20][520/2134]	Time 0.715 (0.650)	Data 0.002 (0.029)	Loss 4.6455 (4.6263)	Top-1 acc 14.062 (17.339)	Top-5 acc 33.594 (38.057)	lr 0.02648
Warmup Train [20][530/2134]	Time 0.509 (0.649)	Data 0.002 (0.028)	Loss 4.6474 (4.6259)	Top-1 acc 16.797 (17.350)	Top-5 acc 35.938 (38.057)	lr 0.02648
Warmup Train [20][540/2134]	Time 2.489 (0.652)	Data 0.004 (0.028)	Loss 4.6988 (4.6266)	Top-1 acc 18.359 (17.338)	Top-5 acc 36.328 (38.053)	lr 0.02647
Warmup Train [20][550/2134]	Time 0.642 (0.651)	Data 0.002 (0.027)	Loss 4.5867 (4.6261)	Top-1 acc 19.531 (17.350)	Top-5 acc 39.062 (38.068)	lr 0.02646
Warmup Train [20][560/2134]	Time 0.761 (0.650)	Data 0.002 (0.027)	Loss 4.8055 (4.6266)	Top-1 acc 17.578 (17.355)	Top-5 acc 38.672 (38.063)	lr 0.02645
Warmup Train [20][570/2134]	Time 0.667 (0.649)	Data 0.002 (0.027)	Loss 4.6805 (4.6270)	Top-1 acc 14.453 (17.349)	Top-5 acc 37.891 (38.073)	lr 0.02644
Warmup Train [20][580/2134]	Time 0.500 (0.648)	Data 0.002 (0.026)	Loss 4.5526 (4.6275)	Top-1 acc 18.750 (17.340)	Top-5 acc 41.406 (38.057)	lr 0.02643
Warmup Train [20][590/2134]	Time 0.533 (0.647)	Data 0.002 (0.026)	Loss 4.6463 (4.6274)	Top-1 acc 21.094 (17.344)	Top-5 acc 38.672 (38.049)	lr 0.02642
Warmup Train [20][600/2134]	Time 0.486 (0.646)	Data 0.002 (0.026)	Loss 4.7608 (4.6270)	Top-1 acc 16.406 (17.357)	Top-5 acc 35.938 (38.055)	lr 0.02641
Warmup Train [20][610/2134]	Time 0.624 (0.645)	Data 0.002 (0.026)	Loss 4.8344 (4.6267)	Top-1 acc 14.844 (17.375)	Top-5 acc 34.766 (38.052)	lr 0.02640
Warmup Train [20][620/2134]	Time 0.612 (0.645)	Data 0.004 (0.026)	Loss 4.5743 (4.6269)	Top-1 acc 15.625 (17.369)	Top-5 acc 36.719 (38.049)	lr 0.02639
Warmup Train [20][630/2134]	Time 0.554 (0.644)	Data 0.002 (0.025)	Loss 4.6835 (4.6272)	Top-1 acc 19.922 (17.369)	Top-5 acc 39.453 (38.048)	lr 0.02638
Warmup Train [20][640/2134]	Time 0.701 (0.644)	Data 0.002 (0.025)	Loss 4.7302 (4.6270)	Top-1 acc 17.578 (17.395)	Top-5 acc 39.062 (38.065)	lr 0.02637
Warmup Train [20][650/2134]	Time 0.596 (0.643)	Data 0.002 (0.025)	Loss 4.8018 (4.6265)	Top-1 acc 15.625 (17.395)	Top-5 acc 33.203 (38.083)	lr 0.02637
Warmup Train [20][660/2134]	Time 0.429 (0.643)	Data 0.004 (0.024)	Loss 4.7084 (4.6260)	Top-1 acc 14.453 (17.401)	Top-5 acc 34.766 (38.093)	lr 0.02636
Warmup Train [20][670/2134]	Time 0.744 (0.643)	Data 0.002 (0.024)	Loss 4.6317 (4.6260)	Top-1 acc 17.578 (17.396)	Top-5 acc 41.797 (38.110)	lr 0.02635
Warmup Train [20][680/2134]	Time 0.534 (0.642)	Data 0.003 (0.024)	Loss 4.7426 (4.6263)	Top-1 acc 14.062 (17.388)	Top-5 acc 41.797 (38.105)	lr 0.02634
Warmup Train [20][690/2134]	Time 0.644 (0.642)	Data 0.002 (0.024)	Loss 4.6745 (4.6266)	Top-1 acc 16.797 (17.374)	Top-5 acc 37.500 (38.099)	lr 0.02633
Warmup Train [20][700/2134]	Time 0.640 (0.641)	Data 0.002 (0.023)	Loss 4.8843 (4.6272)	Top-1 acc 13.281 (17.355)	Top-5 acc 30.078 (38.068)	lr 0.02632
Warmup Train [20][710/2134]	Time 0.587 (0.641)	Data 0.003 (0.023)	Loss 4.5469 (4.6271)	Top-1 acc 19.141 (17.354)	Top-5 acc 39.062 (38.067)	lr 0.02631
Warmup Train [20][720/2134]	Time 0.732 (0.640)	Data 0.003 (0.023)	Loss 4.5990 (4.6275)	Top-1 acc 20.312 (17.348)	Top-5 acc 41.406 (38.065)	lr 0.02630
Warmup Train [20][730/2134]	Time 0.568 (0.640)	Data 0.002 (0.023)	Loss 4.6219 (4.6279)	Top-1 acc 20.703 (17.338)	Top-5 acc 41.016 (38.065)	lr 0.02629
Warmup Train [20][740/2134]	Time 0.623 (0.642)	Data 0.002 (0.023)	Loss 4.6236 (4.6278)	Top-1 acc 16.797 (17.349)	Top-5 acc 39.844 (38.075)	lr 0.02628
Warmup Train [20][750/2134]	Time 0.498 (0.642)	Data 0.002 (0.022)	Loss 4.6817 (4.6279)	Top-1 acc 19.922 (17.369)	Top-5 acc 37.500 (38.068)	lr 0.02627
Warmup Train [20][760/2134]	Time 0.453 (0.641)	Data 0.002 (0.022)	Loss 4.7009 (4.6286)	Top-1 acc 14.844 (17.366)	Top-5 acc 33.984 (38.047)	lr 0.02626
Warmup Train [20][770/2134]	Time 0.550 (0.641)	Data 0.002 (0.022)	Loss 4.6138 (4.6290)	Top-1 acc 15.625 (17.354)	Top-5 acc 37.500 (38.022)	lr 0.02625
Warmup Train [20][780/2134]	Time 0.671 (0.640)	Data 0.003 (0.022)	Loss 4.6347 (4.6289)	Top-1 acc 18.359 (17.372)	Top-5 acc 37.500 (38.028)	lr 0.02625
Warmup Train [20][790/2134]	Time 0.586 (0.639)	Data 0.002 (0.022)	Loss 4.5387 (4.6291)	Top-1 acc 17.188 (17.356)	Top-5 acc 39.844 (38.019)	lr 0.02624
Warmup Train [20][800/2134]	Time 0.685 (0.639)	Data 0.004 (0.022)	Loss 4.6730 (4.6290)	Top-1 acc 15.625 (17.351)	Top-5 acc 35.547 (38.018)	lr 0.02623
Warmup Train [20][810/2134]	Time 0.604 (0.638)	Data 0.005 (0.021)	Loss 4.6348 (4.6288)	Top-1 acc 17.188 (17.366)	Top-5 acc 34.766 (38.021)	lr 0.02622
Warmup Train [20][820/2134]	Time 0.684 (0.638)	Data 0.002 (0.021)	Loss 4.6661 (4.6282)	Top-1 acc 16.406 (17.391)	Top-5 acc 36.719 (38.041)	lr 0.02621
Warmup Train [20][830/2134]	Time 0.688 (0.638)	Data 0.002 (0.021)	Loss 4.5251 (4.6285)	Top-1 acc 17.188 (17.393)	Top-5 acc 40.625 (38.039)	lr 0.02620
Warmup Train [20][840/2134]	Time 0.581 (0.637)	Data 0.002 (0.021)	Loss 4.7461 (4.6278)	Top-1 acc 14.062 (17.402)	Top-5 acc 38.281 (38.053)	lr 0.02619
Warmup Train [20][850/2134]	Time 0.557 (0.637)	Data 0.002 (0.021)	Loss 4.6926 (4.6275)	Top-1 acc 15.625 (17.407)	Top-5 acc 38.672 (38.063)	lr 0.02618
Warmup Train [20][860/2134]	Time 0.581 (0.637)	Data 0.002 (0.021)	Loss 4.5639 (4.6272)	Top-1 acc 21.875 (17.413)	Top-5 acc 38.281 (38.070)	lr 0.02617
Warmup Train [20][870/2134]	Time 0.624 (0.636)	Data 0.004 (0.020)	Loss 4.6355 (4.6274)	Top-1 acc 19.922 (17.416)	Top-5 acc 44.141 (38.074)	lr 0.02616
Warmup Train [20][880/2134]	Time 0.597 (0.636)	Data 0.003 (0.020)	Loss 4.6773 (4.6275)	Top-1 acc 15.234 (17.409)	Top-5 acc 37.500 (38.079)	lr 0.02615
Warmup Train [20][890/2134]	Time 0.642 (0.636)	Data 0.002 (0.020)	Loss 4.6226 (4.6276)	Top-1 acc 16.406 (17.405)	Top-5 acc 37.891 (38.073)	lr 0.02614
Warmup Train [20][900/2134]	Time 0.450 (0.636)	Data 0.002 (0.020)	Loss 4.7588 (4.6273)	Top-1 acc 18.359 (17.410)	Top-5 acc 34.766 (38.073)	lr 0.02614
Warmup Train [20][910/2134]	Time 0.568 (0.636)	Data 0.002 (0.020)	Loss 4.6194 (4.6274)	Top-1 acc 17.969 (17.403)	Top-5 acc 34.766 (38.067)	lr 0.02613
Warmup Train [20][920/2134]	Time 0.640 (0.636)	Data 0.002 (0.020)	Loss 4.5091 (4.6268)	Top-1 acc 19.141 (17.413)	Top-5 acc 42.578 (38.088)	lr 0.02612
Warmup Train [20][930/2134]	Time 0.642 (0.637)	Data 0.002 (0.020)	Loss 4.5672 (4.6270)	Top-1 acc 19.141 (17.407)	Top-5 acc 37.500 (38.084)	lr 0.02611
Warmup Train [20][940/2134]	Time 0.393 (0.637)	Data 0.003 (0.019)	Loss 4.5674 (4.6272)	Top-1 acc 17.969 (17.398)	Top-5 acc 38.672 (38.082)	lr 0.02610
Warmup Train [20][950/2134]	Time 0.608 (0.637)	Data 0.002 (0.019)	Loss 4.5043 (4.6265)	Top-1 acc 19.141 (17.414)	Top-5 acc 42.188 (38.104)	lr 0.02609
Warmup Train [20][960/2134]	Time 0.729 (0.636)	Data 0.002 (0.019)	Loss 4.4341 (4.6259)	Top-1 acc 23.828 (17.428)	Top-5 acc 42.578 (38.110)	lr 0.02608
Warmup Train [20][970/2134]	Time 0.646 (0.636)	Data 0.002 (0.019)	Loss 4.6694 (4.6254)	Top-1 acc 19.531 (17.442)	Top-5 acc 38.281 (38.126)	lr 0.02607
Warmup Train [20][980/2134]	Time 0.353 (0.636)	Data 0.003 (0.019)	Loss 4.7857 (4.6254)	Top-1 acc 19.141 (17.442)	Top-5 acc 34.766 (38.125)	lr 0.02606
Warmup Train [20][990/2134]	Time 0.582 (0.635)	Data 0.002 (0.019)	Loss 4.5655 (4.6250)	Top-1 acc 19.141 (17.456)	Top-5 acc 38.281 (38.135)	lr 0.02605
Warmup Train [20][1000/2134]	Time 0.533 (0.635)	Data 0.002 (0.019)	Loss 4.5676 (4.6254)	Top-1 acc 20.312 (17.450)	Top-5 acc 42.188 (38.129)	lr 0.02604
Warmup Train [20][1010/2134]	Time 0.661 (0.635)	Data 0.002 (0.019)	Loss 4.6735 (4.6255)	Top-1 acc 17.969 (17.451)	Top-5 acc 40.234 (38.131)	lr 0.02603
Warmup Train [20][1020/2134]	Time 0.543 (0.634)	Data 0.002 (0.018)	Loss 4.6343 (4.6250)	Top-1 acc 18.750 (17.463)	Top-5 acc 37.109 (38.138)	lr 0.02603
Warmup Train [20][1030/2134]	Time 0.772 (0.634)	Data 0.002 (0.018)	Loss 4.3961 (4.6249)	Top-1 acc 21.094 (17.465)	Top-5 acc 42.188 (38.138)	lr 0.02602
Warmup Train [20][1040/2134]	Time 0.634 (0.634)	Data 0.002 (0.018)	Loss 4.6766 (4.6248)	Top-1 acc 16.016 (17.466)	Top-5 acc 35.156 (38.140)	lr 0.02601
Warmup Train [20][1050/2134]	Time 0.604 (0.634)	Data 0.002 (0.018)	Loss 4.6505 (4.6252)	Top-1 acc 16.406 (17.459)	Top-5 acc 35.938 (38.128)	lr 0.02600
Warmup Train [20][1060/2134]	Time 0.536 (0.634)	Data 0.002 (0.018)	Loss 4.5466 (4.6257)	Top-1 acc 17.578 (17.454)	Top-5 acc 40.625 (38.114)	lr 0.02599
Warmup Train [20][1070/2134]	Time 0.632 (0.634)	Data 0.002 (0.018)	Loss 4.5569 (4.6257)	Top-1 acc 16.016 (17.450)	Top-5 acc 36.719 (38.103)	lr 0.02598
Warmup Train [20][1080/2134]	Time 0.707 (0.633)	Data 0.002 (0.018)	Loss 4.3498 (4.6253)	Top-1 acc 23.047 (17.460)	Top-5 acc 41.406 (38.112)	lr 0.02597
Warmup Train [20][1090/2134]	Time 0.600 (0.633)	Data 0.002 (0.018)	Loss 4.4457 (4.6246)	Top-1 acc 18.359 (17.474)	Top-5 acc 41.797 (38.127)	lr 0.02596
Warmup Train [20][1100/2134]	Time 0.593 (0.633)	Data 0.002 (0.018)	Loss 4.5100 (4.6244)	Top-1 acc 16.797 (17.477)	Top-5 acc 37.891 (38.126)	lr 0.02595
Warmup Train [20][1110/2134]	Time 0.616 (0.635)	Data 0.002 (0.017)	Loss 4.6167 (4.6241)	Top-1 acc 16.797 (17.477)	Top-5 acc 37.891 (38.137)	lr 0.02594
Warmup Train [20][1120/2134]	Time 0.493 (0.634)	Data 0.002 (0.017)	Loss 4.5087 (4.6234)	Top-1 acc 19.141 (17.491)	Top-5 acc 42.578 (38.160)	lr 0.02593
Warmup Train [20][1130/2134]	Time 0.604 (0.634)	Data 0.003 (0.017)	Loss 4.4493 (4.6234)	Top-1 acc 19.531 (17.488)	Top-5 acc 42.969 (38.162)	lr 0.02592
Warmup Train [20][1140/2134]	Time 0.639 (0.634)	Data 0.002 (0.017)	Loss 4.6389 (4.6234)	Top-1 acc 14.844 (17.474)	Top-5 acc 40.625 (38.154)	lr 0.02591
Warmup Train [20][1150/2134]	Time 0.652 (0.634)	Data 0.002 (0.017)	Loss 4.5109 (4.6229)	Top-1 acc 16.406 (17.485)	Top-5 acc 42.969 (38.168)	lr 0.02591
Warmup Train [20][1160/2134]	Time 0.807 (0.634)	Data 0.003 (0.017)	Loss 4.5792 (4.6228)	Top-1 acc 15.234 (17.489)	Top-5 acc 33.984 (38.173)	lr 0.02590
Warmup Train [20][1170/2134]	Time 0.613 (0.633)	Data 0.002 (0.017)	Loss 4.6190 (4.6227)	Top-1 acc 14.453 (17.488)	Top-5 acc 41.016 (38.175)	lr 0.02589
Warmup Train [20][1180/2134]	Time 0.692 (0.633)	Data 0.002 (0.017)	Loss 4.6468 (4.6229)	Top-1 acc 17.969 (17.499)	Top-5 acc 39.062 (38.171)	lr 0.02588
Warmup Train [20][1190/2134]	Time 0.521 (0.633)	Data 0.002 (0.017)	Loss 4.6011 (4.6226)	Top-1 acc 22.656 (17.506)	Top-5 acc 41.016 (38.173)	lr 0.02587
Warmup Train [20][1200/2134]	Time 0.592 (0.632)	Data 0.002 (0.017)	Loss 4.7083 (4.6228)	Top-1 acc 17.578 (17.497)	Top-5 acc 34.766 (38.165)	lr 0.02586
Warmup Train [20][1210/2134]	Time 0.531 (0.632)	Data 0.002 (0.016)	Loss 4.5333 (4.6226)	Top-1 acc 20.703 (17.501)	Top-5 acc 39.844 (38.164)	lr 0.02585
Warmup Train [20][1220/2134]	Time 0.584 (0.632)	Data 0.002 (0.016)	Loss 4.5421 (4.6227)	Top-1 acc 18.359 (17.500)	Top-5 acc 41.797 (38.167)	lr 0.02584
Warmup Train [20][1230/2134]	Time 0.705 (0.632)	Data 0.002 (0.016)	Loss 4.6199 (4.6226)	Top-1 acc 19.922 (17.499)	Top-5 acc 37.109 (38.172)	lr 0.02583
Warmup Train [20][1240/2134]	Time 0.552 (0.632)	Data 0.004 (0.016)	Loss 4.6515 (4.6225)	Top-1 acc 16.797 (17.499)	Top-5 acc 39.453 (38.175)	lr 0.02582
Warmup Train [20][1250/2134]	Time 0.511 (0.632)	Data 0.002 (0.016)	Loss 4.6768 (4.6225)	Top-1 acc 16.016 (17.501)	Top-5 acc 35.547 (38.179)	lr 0.02581
Warmup Train [20][1260/2134]	Time 0.618 (0.631)	Data 0.002 (0.016)	Loss 4.6162 (4.6229)	Top-1 acc 17.578 (17.493)	Top-5 acc 40.234 (38.165)	lr 0.02580
Warmup Train [20][1270/2134]	Time 0.666 (0.631)	Data 0.002 (0.016)	Loss 4.5574 (4.6226)	Top-1 acc 19.141 (17.494)	Top-5 acc 41.016 (38.167)	lr 0.02580
Warmup Train [20][1280/2134]	Time 0.542 (0.631)	Data 0.002 (0.016)	Loss 4.5894 (4.6226)	Top-1 acc 17.188 (17.492)	Top-5 acc 42.188 (38.175)	lr 0.02579
Warmup Train [20][1290/2134]	Time 0.472 (0.631)	Data 0.003 (0.016)	Loss 4.6075 (4.6224)	Top-1 acc 19.141 (17.495)	Top-5 acc 38.281 (38.177)	lr 0.02578
Warmup Train [20][1300/2134]	Time 2.223 (0.632)	Data 0.002 (0.016)	Loss 4.4729 (4.6223)	Top-1 acc 18.750 (17.497)	Top-5 acc 39.062 (38.177)	lr 0.02577
Warmup Train [20][1310/2134]	Time 0.724 (0.632)	Data 0.002 (0.016)	Loss 4.5648 (4.6223)	Top-1 acc 16.016 (17.492)	Top-5 acc 37.109 (38.177)	lr 0.02576
Warmup Train [20][1320/2134]	Time 0.750 (0.631)	Data 0.004 (0.016)	Loss 4.4606 (4.6220)	Top-1 acc 22.266 (17.497)	Top-5 acc 42.578 (38.183)	lr 0.02575
Warmup Train [20][1330/2134]	Time 0.631 (0.631)	Data 0.002 (0.016)	Loss 4.4518 (4.6215)	Top-1 acc 19.141 (17.500)	Top-5 acc 41.016 (38.186)	lr 0.02574
Warmup Train [20][1340/2134]	Time 0.661 (0.631)	Data 0.002 (0.016)	Loss 4.5107 (4.6212)	Top-1 acc 18.750 (17.505)	Top-5 acc 40.625 (38.197)	lr 0.02573
Warmup Train [20][1350/2134]	Time 0.608 (0.631)	Data 0.002 (0.015)	Loss 4.8459 (4.6215)	Top-1 acc 12.891 (17.508)	Top-5 acc 33.203 (38.193)	lr 0.02572
Warmup Train [20][1360/2134]	Time 0.640 (0.631)	Data 0.002 (0.015)	Loss 4.6484 (4.6219)	Top-1 acc 16.016 (17.501)	Top-5 acc 34.375 (38.179)	lr 0.02571
Warmup Train [20][1370/2134]	Time 0.678 (0.631)	Data 0.002 (0.015)	Loss 4.5952 (4.6221)	Top-1 acc 18.359 (17.494)	Top-5 acc 40.625 (38.176)	lr 0.02570
Warmup Train [20][1380/2134]	Time 0.705 (0.631)	Data 0.002 (0.015)	Loss 4.4481 (4.6223)	Top-1 acc 18.359 (17.496)	Top-5 acc 43.359 (38.178)	lr 0.02569
Warmup Train [20][1390/2134]	Time 0.715 (0.631)	Data 0.002 (0.015)	Loss 4.5737 (4.6220)	Top-1 acc 19.531 (17.503)	Top-5 acc 38.281 (38.190)	lr 0.02569
Warmup Train [20][1400/2134]	Time 0.630 (0.630)	Data 0.002 (0.015)	Loss 4.5289 (4.6215)	Top-1 acc 19.531 (17.505)	Top-5 acc 40.234 (38.206)	lr 0.02568
Warmup Train [20][1410/2134]	Time 0.518 (0.630)	Data 0.002 (0.015)	Loss 4.6994 (4.6213)	Top-1 acc 17.969 (17.497)	Top-5 acc 37.109 (38.206)	lr 0.02567
Warmup Train [20][1420/2134]	Time 0.657 (0.630)	Data 0.002 (0.015)	Loss 4.3682 (4.6215)	Top-1 acc 19.922 (17.494)	Top-5 acc 44.922 (38.201)	lr 0.02566
Warmup Train [20][1430/2134]	Time 0.589 (0.630)	Data 0.002 (0.015)	Loss 4.6435 (4.6215)	Top-1 acc 16.016 (17.491)	Top-5 acc 39.062 (38.201)	lr 0.02565
Warmup Train [20][1440/2134]	Time 0.522 (0.630)	Data 0.002 (0.015)	Loss 4.7382 (4.6216)	Top-1 acc 16.797 (17.484)	Top-5 acc 33.984 (38.196)	lr 0.02564
Warmup Train [20][1450/2134]	Time 0.607 (0.629)	Data 0.002 (0.015)	Loss 4.7668 (4.6218)	Top-1 acc 16.406 (17.486)	Top-5 acc 36.719 (38.196)	lr 0.02563
Warmup Train [20][1460/2134]	Time 0.505 (0.629)	Data 0.002 (0.015)	Loss 4.5840 (4.6218)	Top-1 acc 17.969 (17.483)	Top-5 acc 35.938 (38.191)	lr 0.02562
Warmup Train [20][1470/2134]	Time 0.679 (0.629)	Data 0.002 (0.015)	Loss 4.6707 (4.6217)	Top-1 acc 14.453 (17.485)	Top-5 acc 35.547 (38.197)	lr 0.02561
Warmup Train [20][1480/2134]	Time 0.607 (0.629)	Data 0.002 (0.015)	Loss 4.8784 (4.6217)	Top-1 acc 10.938 (17.483)	Top-5 acc 31.641 (38.202)	lr 0.02560
Warmup Train [20][1490/2134]	Time 2.529 (0.630)	Data 0.002 (0.015)	Loss 4.6512 (4.6213)	Top-1 acc 18.359 (17.491)	Top-5 acc 40.234 (38.209)	lr 0.02559
Warmup Train [20][1500/2134]	Time 0.596 (0.630)	Data 0.002 (0.015)	Loss 4.6179 (4.6212)	Top-1 acc 16.016 (17.496)	Top-5 acc 35.938 (38.210)	lr 0.02558
Warmup Train [20][1510/2134]	Time 0.690 (0.630)	Data 0.002 (0.014)	Loss 4.4730 (4.6209)	Top-1 acc 17.578 (17.499)	Top-5 acc 40.234 (38.213)	lr 0.02557
Warmup Train [20][1520/2134]	Time 0.660 (0.630)	Data 0.002 (0.014)	Loss 4.5127 (4.6208)	Top-1 acc 19.141 (17.502)	Top-5 acc 39.844 (38.217)	lr 0.02557
Warmup Train [20][1530/2134]	Time 0.621 (0.630)	Data 0.002 (0.014)	Loss 4.6657 (4.6206)	Top-1 acc 19.922 (17.513)	Top-5 acc 34.766 (38.221)	lr 0.02556
Warmup Train [20][1540/2134]	Time 0.584 (0.629)	Data 0.003 (0.014)	Loss 4.5483 (4.6206)	Top-1 acc 19.531 (17.511)	Top-5 acc 40.234 (38.220)	lr 0.02555
Warmup Train [20][1550/2134]	Time 0.565 (0.629)	Data 0.002 (0.014)	Loss 4.6075 (4.6205)	Top-1 acc 16.797 (17.518)	Top-5 acc 37.109 (38.226)	lr 0.02554
Warmup Train [20][1560/2134]	Time 0.444 (0.629)	Data 0.002 (0.014)	Loss 4.5872 (4.6206)	Top-1 acc 14.062 (17.510)	Top-5 acc 36.719 (38.225)	lr 0.02553
Warmup Train [20][1570/2134]	Time 0.604 (0.629)	Data 0.002 (0.014)	Loss 4.6647 (4.6206)	Top-1 acc 17.969 (17.509)	Top-5 acc 37.109 (38.218)	lr 0.02552
Warmup Train [20][1580/2134]	Time 0.447 (0.629)	Data 0.004 (0.014)	Loss 4.5423 (4.6204)	Top-1 acc 17.969 (17.508)	Top-5 acc 40.625 (38.224)	lr 0.02551
Warmup Train [20][1590/2134]	Time 0.608 (0.629)	Data 0.002 (0.014)	Loss 4.4830 (4.6205)	Top-1 acc 21.484 (17.511)	Top-5 acc 42.969 (38.226)	lr 0.02550
Warmup Train [20][1600/2134]	Time 0.639 (0.628)	Data 0.002 (0.014)	Loss 4.6930 (4.6201)	Top-1 acc 16.797 (17.516)	Top-5 acc 35.156 (38.235)	lr 0.02549
Warmup Train [20][1610/2134]	Time 0.540 (0.628)	Data 0.002 (0.014)	Loss 4.6265 (4.6200)	Top-1 acc 18.750 (17.512)	Top-5 acc 41.016 (38.241)	lr 0.02548
Warmup Train [20][1620/2134]	Time 0.460 (0.628)	Data 0.002 (0.014)	Loss 4.5516 (4.6197)	Top-1 acc 18.750 (17.514)	Top-5 acc 41.406 (38.251)	lr 0.02547
Warmup Train [20][1630/2134]	Time 0.692 (0.628)	Data 0.003 (0.014)	Loss 4.5114 (4.6197)	Top-1 acc 17.578 (17.517)	Top-5 acc 42.578 (38.255)	lr 0.02546
Warmup Train [20][1640/2134]	Time 0.588 (0.628)	Data 0.002 (0.014)	Loss 4.5043 (4.6195)	Top-1 acc 19.922 (17.516)	Top-5 acc 41.016 (38.262)	lr 0.02546
Warmup Train [20][1650/2134]	Time 0.642 (0.628)	Data 0.002 (0.014)	Loss 4.4764 (4.6194)	Top-1 acc 19.531 (17.514)	Top-5 acc 42.969 (38.264)	lr 0.02545
Warmup Train [20][1660/2134]	Time 0.641 (0.628)	Data 0.002 (0.014)	Loss 4.7154 (4.6195)	Top-1 acc 16.016 (17.513)	Top-5 acc 37.891 (38.260)	lr 0.02544
Warmup Train [20][1670/2134]	Time 0.569 (0.628)	Data 0.002 (0.014)	Loss 4.6219 (4.6196)	Top-1 acc 20.312 (17.515)	Top-5 acc 39.844 (38.263)	lr 0.02543
Warmup Train [20][1680/2134]	Time 0.548 (0.628)	Data 0.002 (0.014)	Loss 4.6100 (4.6194)	Top-1 acc 15.625 (17.517)	Top-5 acc 38.672 (38.269)	lr 0.02542
Warmup Train [20][1690/2134]	Time 0.556 (0.628)	Data 0.002 (0.014)	Loss 4.7793 (4.6198)	Top-1 acc 12.500 (17.507)	Top-5 acc 30.078 (38.259)	lr 0.02541
Warmup Train [20][1700/2134]	Time 0.631 (0.628)	Data 0.002 (0.014)	Loss 4.3604 (4.6193)	Top-1 acc 18.750 (17.509)	Top-5 acc 47.656 (38.270)	lr 0.02540
Warmup Train [20][1710/2134]	Time 0.680 (0.628)	Data 0.002 (0.014)	Loss 4.6209 (4.6193)	Top-1 acc 17.188 (17.507)	Top-5 acc 38.672 (38.272)	lr 0.02539
Warmup Train [20][1720/2134]	Time 0.604 (0.628)	Data 0.002 (0.014)	Loss 4.4569 (4.6194)	Top-1 acc 19.141 (17.503)	Top-5 acc 39.453 (38.270)	lr 0.02538
Warmup Train [20][1730/2134]	Time 0.607 (0.628)	Data 0.002 (0.014)	Loss 4.6430 (4.6195)	Top-1 acc 20.312 (17.503)	Top-5 acc 39.062 (38.271)	lr 0.02537
Warmup Train [20][1740/2134]	Time 0.643 (0.628)	Data 0.002 (0.013)	Loss 4.5981 (4.6194)	Top-1 acc 16.406 (17.498)	Top-5 acc 36.328 (38.270)	lr 0.02536
Warmup Train [20][1750/2134]	Time 0.603 (0.628)	Data 0.002 (0.013)	Loss 4.7412 (4.6194)	Top-1 acc 16.406 (17.495)	Top-5 acc 35.938 (38.271)	lr 0.02535
Warmup Train [20][1760/2134]	Time 0.533 (0.628)	Data 0.002 (0.013)	Loss 4.8400 (4.6189)	Top-1 acc 14.844 (17.507)	Top-5 acc 33.594 (38.286)	lr 0.02534
Warmup Train [20][1770/2134]	Time 0.699 (0.628)	Data 0.002 (0.013)	Loss 4.5809 (4.6188)	Top-1 acc 16.797 (17.508)	Top-5 acc 38.281 (38.286)	lr 0.02534
Warmup Train [20][1780/2134]	Time 0.485 (0.628)	Data 0.002 (0.013)	Loss 4.5232 (4.6185)	Top-1 acc 19.141 (17.508)	Top-5 acc 43.359 (38.293)	lr 0.02533
Warmup Train [20][1790/2134]	Time 0.582 (0.627)	Data 0.002 (0.013)	Loss 4.7960 (4.6186)	Top-1 acc 17.969 (17.512)	Top-5 acc 36.719 (38.289)	lr 0.02532
Warmup Train [20][1800/2134]	Time 0.510 (0.627)	Data 0.003 (0.013)	Loss 4.2454 (4.6184)	Top-1 acc 21.875 (17.517)	Top-5 acc 46.484 (38.290)	lr 0.02531
Warmup Train [20][1810/2134]	Time 0.613 (0.627)	Data 0.002 (0.013)	Loss 4.4050 (4.6180)	Top-1 acc 20.703 (17.527)	Top-5 acc 41.406 (38.303)	lr 0.02530
Warmup Train [20][1820/2134]	Time 0.586 (0.627)	Data 0.002 (0.013)	Loss 4.5660 (4.6179)	Top-1 acc 18.750 (17.535)	Top-5 acc 39.844 (38.305)	lr 0.02529
Warmup Train [20][1830/2134]	Time 0.626 (0.627)	Data 0.002 (0.013)	Loss 4.5734 (4.6177)	Top-1 acc 19.531 (17.540)	Top-5 acc 41.016 (38.309)	lr 0.02528
Warmup Train [20][1840/2134]	Time 0.596 (0.627)	Data 0.003 (0.013)	Loss 4.6586 (4.6174)	Top-1 acc 20.312 (17.549)	Top-5 acc 34.375 (38.315)	lr 0.02527
Warmup Train [20][1850/2134]	Time 0.765 (0.626)	Data 0.002 (0.013)	Loss 4.6158 (4.6174)	Top-1 acc 17.578 (17.552)	Top-5 acc 39.453 (38.318)	lr 0.02526
Warmup Train [20][1860/2134]	Time 0.673 (0.626)	Data 0.003 (0.013)	Loss 4.5971 (4.6173)	Top-1 acc 17.188 (17.551)	Top-5 acc 36.719 (38.320)	lr 0.02525
Warmup Train [20][1870/2134]	Time 0.402 (0.626)	Data 0.002 (0.013)	Loss 4.4250 (4.6169)	Top-1 acc 24.609 (17.564)	Top-5 acc 44.531 (38.336)	lr 0.02524
Warmup Train [20][1880/2134]	Time 0.618 (0.627)	Data 0.003 (0.013)	Loss 4.4511 (4.6168)	Top-1 acc 20.312 (17.564)	Top-5 acc 41.406 (38.340)	lr 0.02523
Warmup Train [20][1890/2134]	Time 0.538 (0.627)	Data 0.004 (0.013)	Loss 4.6167 (4.6167)	Top-1 acc 18.750 (17.562)	Top-5 acc 39.844 (38.344)	lr 0.02523
Warmup Train [20][1900/2134]	Time 0.526 (0.627)	Data 0.002 (0.013)	Loss 4.7341 (4.6168)	Top-1 acc 14.062 (17.560)	Top-5 acc 31.250 (38.338)	lr 0.02522
Warmup Train [20][1910/2134]	Time 0.414 (0.627)	Data 0.002 (0.013)	Loss 4.8397 (4.6169)	Top-1 acc 15.625 (17.563)	Top-5 acc 32.812 (38.341)	lr 0.02521
Warmup Train [20][1920/2134]	Time 0.650 (0.627)	Data 0.002 (0.013)	Loss 4.6294 (4.6170)	Top-1 acc 14.062 (17.558)	Top-5 acc 38.672 (38.339)	lr 0.02520
Warmup Train [20][1930/2134]	Time 0.706 (0.627)	Data 0.002 (0.013)	Loss 4.6495 (4.6170)	Top-1 acc 16.406 (17.554)	Top-5 acc 40.625 (38.336)	lr 0.02519
Warmup Train [20][1940/2134]	Time 0.654 (0.627)	Data 0.002 (0.013)	Loss 4.5257 (4.6170)	Top-1 acc 18.750 (17.557)	Top-5 acc 39.453 (38.339)	lr 0.02518
Warmup Train [20][1950/2134]	Time 0.581 (0.627)	Data 0.002 (0.013)	Loss 4.5088 (4.6167)	Top-1 acc 18.750 (17.566)	Top-5 acc 42.578 (38.354)	lr 0.02517
Warmup Train [20][1960/2134]	Time 0.572 (0.627)	Data 0.002 (0.013)	Loss 4.7961 (4.6164)	Top-1 acc 14.844 (17.569)	Top-5 acc 36.328 (38.363)	lr 0.02516
Warmup Train [20][1970/2134]	Time 0.594 (0.626)	Data 0.004 (0.013)	Loss 4.6039 (4.6161)	Top-1 acc 19.141 (17.576)	Top-5 acc 39.062 (38.371)	lr 0.02515
Warmup Train [20][1980/2134]	Time 0.708 (0.626)	Data 0.002 (0.013)	Loss 4.6836 (4.6161)	Top-1 acc 18.750 (17.581)	Top-5 acc 33.984 (38.370)	lr 0.02514
Warmup Train [20][1990/2134]	Time 0.629 (0.626)	Data 0.002 (0.013)	Loss 4.4943 (4.6160)	Top-1 acc 19.141 (17.582)	Top-5 acc 44.141 (38.374)	lr 0.02513
Warmup Train [20][2000/2134]	Time 0.535 (0.626)	Data 0.004 (0.013)	Loss 4.6227 (4.6160)	Top-1 acc 15.625 (17.578)	Top-5 acc 36.719 (38.369)	lr 0.02512
Warmup Train [20][2010/2134]	Time 0.469 (0.626)	Data 0.003 (0.013)	Loss 4.6984 (4.6159)	Top-1 acc 15.234 (17.573)	Top-5 acc 35.547 (38.376)	lr 0.02511
Warmup Train [20][2020/2134]	Time 0.476 (0.626)	Data 0.002 (0.013)	Loss 4.7928 (4.6157)	Top-1 acc 16.406 (17.573)	Top-5 acc 35.938 (38.377)	lr 0.02511
Warmup Train [20][2030/2134]	Time 0.584 (0.626)	Data 0.002 (0.013)	Loss 4.5492 (4.6157)	Top-1 acc 17.578 (17.568)	Top-5 acc 38.281 (38.373)	lr 0.02510
Warmup Train [20][2040/2134]	Time 0.528 (0.626)	Data 0.002 (0.013)	Loss 4.6181 (4.6154)	Top-1 acc 16.406 (17.574)	Top-5 acc 35.938 (38.382)	lr 0.02509
Warmup Train [20][2050/2134]	Time 0.714 (0.625)	Data 0.002 (0.013)	Loss 4.3961 (4.6150)	Top-1 acc 19.141 (17.580)	Top-5 acc 44.922 (38.393)	lr 0.02508
Warmup Train [20][2060/2134]	Time 0.484 (0.625)	Data 0.002 (0.013)	Loss 4.7184 (4.6148)	Top-1 acc 19.141 (17.583)	Top-5 acc 35.156 (38.394)	lr 0.02507
Warmup Train [20][2070/2134]	Time 0.721 (0.626)	Data 0.001 (0.013)	Loss 4.5579 (4.6147)	Top-1 acc 17.188 (17.578)	Top-5 acc 35.938 (38.396)	lr 0.02506
Warmup Train [20][2080/2134]	Time 0.580 (0.626)	Data 0.000 (0.012)	Loss 4.5834 (4.6142)	Top-1 acc 19.141 (17.588)	Top-5 acc 38.281 (38.411)	lr 0.02505
Warmup Train [20][2090/2134]	Time 0.416 (0.626)	Data 0.000 (0.012)	Loss 4.6705 (4.6142)	Top-1 acc 17.969 (17.591)	Top-5 acc 35.938 (38.411)	lr 0.02504
Warmup Train [20][2100/2134]	Time 0.572 (0.626)	Data 0.000 (0.012)	Loss 4.4246 (4.6140)	Top-1 acc 19.531 (17.592)	Top-5 acc 43.359 (38.418)	lr 0.02503
Warmup Train [20][2110/2134]	Time 0.462 (0.625)	Data 0.000 (0.012)	Loss 4.8221 (4.6143)	Top-1 acc 11.719 (17.584)	Top-5 acc 33.594 (38.407)	lr 0.02502
Warmup Train [20][2120/2134]	Time 0.622 (0.625)	Data 0.000 (0.012)	Loss 4.6025 (4.6143)	Top-1 acc 19.141 (17.592)	Top-5 acc 38.672 (38.409)	lr 0.02501
Warmup Train [20][2130/2134]	Time 0.628 (0.625)	Data 0.000 (0.012)	Loss 4.4825 (4.6141)	Top-1 acc 20.703 (17.590)	Top-5 acc 39.062 (38.415)	lr 0.02500
Warmup Train [20][2134/2134]	Time 0.525 (0.625)	Data 0.000 (0.012)	Loss 4.6828 (4.6141)	Top-1 acc 17.112 (17.590)	Top-5 acc 35.294 (38.416)	lr 0.02500
==========Warmup Valid [20/40]	loss 3.718	top-1 acc 23.788	top-5 acc 47.883	Train top-1 17.590	top-5 38.416	flops: 442.4M
Warmup Train [21][0/2134]	Time 12.159 (12.159)	Data 9.898 (9.898)	Loss 4.4102 (4.4102)	Top-1 acc 17.578 (17.578)	Top-5 acc 41.016 (41.016)	lr 0.02500
Warmup Train [21][10/2134]	Time 0.748 (1.794)	Data 0.002 (0.920)	Loss 4.6335 (4.5836)	Top-1 acc 18.359 (17.898)	Top-5 acc 38.281 (39.382)	lr 0.02499
Warmup Train [21][20/2134]	Time 0.447 (1.219)	Data 0.003 (0.485)	Loss 4.5523 (4.6011)	Top-1 acc 21.875 (17.876)	Top-5 acc 41.406 (38.765)	lr 0.02498
Warmup Train [21][30/2134]	Time 0.593 (1.031)	Data 0.002 (0.334)	Loss 4.6588 (4.6017)	Top-1 acc 18.750 (17.956)	Top-5 acc 39.844 (38.596)	lr 0.02497
Warmup Train [21][40/2134]	Time 0.688 (0.935)	Data 0.002 (0.254)	Loss 4.4500 (4.6019)	Top-1 acc 19.141 (17.959)	Top-5 acc 43.359 (38.672)	lr 0.02496
Warmup Train [21][50/2134]	Time 0.597 (0.867)	Data 0.002 (0.205)	Loss 4.5571 (4.5939)	Top-1 acc 18.359 (18.137)	Top-5 acc 38.672 (38.718)	lr 0.02495
Warmup Train [21][60/2134]	Time 0.645 (0.825)	Data 0.003 (0.172)	Loss 4.4403 (4.5797)	Top-1 acc 21.875 (18.334)	Top-5 acc 39.844 (39.184)	lr 0.02494
Warmup Train [21][70/2134]	Time 0.500 (0.795)	Data 0.003 (0.149)	Loss 4.7477 (4.5817)	Top-1 acc 16.797 (18.255)	Top-5 acc 35.547 (39.189)	lr 0.02494
Warmup Train [21][80/2134]	Time 0.520 (0.775)	Data 0.002 (0.132)	Loss 4.6071 (4.5850)	Top-1 acc 16.797 (18.311)	Top-5 acc 37.500 (39.241)	lr 0.02493
Warmup Train [21][90/2134]	Time 0.734 (0.758)	Data 0.003 (0.119)	Loss 4.5664 (4.5878)	Top-1 acc 22.266 (18.364)	Top-5 acc 42.188 (39.183)	lr 0.02492
Warmup Train [21][100/2134]	Time 0.556 (0.771)	Data 0.002 (0.108)	Loss 4.6143 (4.5905)	Top-1 acc 17.578 (18.267)	Top-5 acc 41.016 (39.186)	lr 0.02491
Warmup Train [21][110/2134]	Time 0.677 (0.757)	Data 0.002 (0.098)	Loss 4.5185 (4.5889)	Top-1 acc 20.312 (18.212)	Top-5 acc 42.578 (39.165)	lr 0.02490
Warmup Train [21][120/2134]	Time 0.687 (0.746)	Data 0.002 (0.090)	Loss 4.7279 (4.5909)	Top-1 acc 12.109 (18.185)	Top-5 acc 36.719 (39.108)	lr 0.02489
Warmup Train [21][130/2134]	Time 0.632 (0.736)	Data 0.002 (0.084)	Loss 4.6086 (4.5882)	Top-1 acc 17.578 (18.246)	Top-5 acc 34.766 (39.057)	lr 0.02488
Warmup Train [21][140/2134]	Time 0.543 (0.724)	Data 0.002 (0.078)	Loss 4.5133 (4.5885)	Top-1 acc 19.531 (18.229)	Top-5 acc 40.625 (39.021)	lr 0.02487
Warmup Train [21][150/2134]	Time 0.572 (0.716)	Data 0.003 (0.074)	Loss 4.4803 (4.5883)	Top-1 acc 18.359 (18.271)	Top-5 acc 42.578 (39.021)	lr 0.02486
Warmup Train [21][160/2134]	Time 0.615 (0.708)	Data 0.002 (0.070)	Loss 4.4870 (4.5880)	Top-1 acc 19.531 (18.260)	Top-5 acc 40.625 (39.019)	lr 0.02485
Warmup Train [21][170/2134]	Time 0.582 (0.702)	Data 0.002 (0.066)	Loss 4.6860 (4.5883)	Top-1 acc 15.234 (18.206)	Top-5 acc 34.375 (38.932)	lr 0.02484
Warmup Train [21][180/2134]	Time 0.608 (0.698)	Data 0.002 (0.063)	Loss 4.6606 (4.5846)	Top-1 acc 18.359 (18.251)	Top-5 acc 36.719 (39.004)	lr 0.02483
Warmup Train [21][190/2134]	Time 0.602 (0.695)	Data 0.002 (0.060)	Loss 4.6250 (4.5834)	Top-1 acc 15.625 (18.294)	Top-5 acc 35.547 (39.005)	lr 0.02483
Warmup Train [21][200/2134]	Time 0.695 (0.692)	Data 0.003 (0.057)	Loss 4.7053 (4.5851)	Top-1 acc 17.578 (18.291)	Top-5 acc 35.156 (39.018)	lr 0.02482
Warmup Train [21][210/2134]	Time 0.536 (0.687)	Data 0.003 (0.055)	Loss 4.5407 (4.5818)	Top-1 acc 17.969 (18.302)	Top-5 acc 39.062 (39.096)	lr 0.02481
Warmup Train [21][220/2134]	Time 0.717 (0.685)	Data 0.002 (0.053)	Loss 4.4466 (4.5809)	Top-1 acc 22.266 (18.294)	Top-5 acc 42.969 (39.119)	lr 0.02480
Warmup Train [21][230/2134]	Time 0.645 (0.683)	Data 0.003 (0.051)	Loss 4.5844 (4.5806)	Top-1 acc 19.922 (18.305)	Top-5 acc 41.016 (39.118)	lr 0.02479
Warmup Train [21][240/2134]	Time 0.745 (0.680)	Data 0.003 (0.049)	Loss 4.5038 (4.5799)	Top-1 acc 21.875 (18.345)	Top-5 acc 42.578 (39.168)	lr 0.02478
Warmup Train [21][250/2134]	Time 0.629 (0.677)	Data 0.003 (0.047)	Loss 4.5063 (4.5789)	Top-1 acc 21.094 (18.348)	Top-5 acc 42.188 (39.154)	lr 0.02477
Warmup Train [21][260/2134]	Time 0.609 (0.673)	Data 0.002 (0.045)	Loss 4.7158 (4.5793)	Top-1 acc 17.188 (18.307)	Top-5 acc 34.375 (39.161)	lr 0.02476
Warmup Train [21][270/2134]	Time 0.708 (0.671)	Data 0.002 (0.044)	Loss 4.4443 (4.5782)	Top-1 acc 18.359 (18.315)	Top-5 acc 41.016 (39.175)	lr 0.02475
Warmup Train [21][280/2134]	Time 0.587 (0.669)	Data 0.002 (0.043)	Loss 4.6211 (4.5784)	Top-1 acc 17.969 (18.330)	Top-5 acc 37.109 (39.182)	lr 0.02474
Warmup Train [21][290/2134]	Time 0.718 (0.666)	Data 0.002 (0.041)	Loss 4.5343 (4.5796)	Top-1 acc 18.750 (18.373)	Top-5 acc 42.969 (39.193)	lr 0.02473
Warmup Train [21][300/2134]	Time 0.604 (0.672)	Data 0.002 (0.040)	Loss 4.5639 (4.5781)	Top-1 acc 18.750 (18.396)	Top-5 acc 39.844 (39.222)	lr 0.02472
Warmup Train [21][310/2134]	Time 0.637 (0.670)	Data 0.004 (0.039)	Loss 4.5875 (4.5791)	Top-1 acc 18.359 (18.374)	Top-5 acc 37.109 (39.172)	lr 0.02471
Warmup Train [21][320/2134]	Time 0.515 (0.668)	Data 0.002 (0.038)	Loss 4.5170 (4.5801)	Top-1 acc 21.484 (18.376)	Top-5 acc 38.281 (39.157)	lr 0.02471
Warmup Train [21][330/2134]	Time 0.730 (0.666)	Data 0.002 (0.037)	Loss 4.7689 (4.5797)	Top-1 acc 18.750 (18.362)	Top-5 acc 37.109 (39.210)	lr 0.02470
Warmup Train [21][340/2134]	Time 0.621 (0.664)	Data 0.002 (0.036)	Loss 4.5761 (4.5796)	Top-1 acc 18.750 (18.349)	Top-5 acc 36.328 (39.187)	lr 0.02469
Warmup Train [21][350/2134]	Time 0.752 (0.662)	Data 0.002 (0.035)	Loss 4.4432 (4.5792)	Top-1 acc 19.141 (18.336)	Top-5 acc 41.016 (39.222)	lr 0.02468
Warmup Train [21][360/2134]	Time 0.684 (0.661)	Data 0.002 (0.034)	Loss 4.2193 (4.5784)	Top-1 acc 22.266 (18.336)	Top-5 acc 46.484 (39.228)	lr 0.02467
Warmup Train [21][370/2134]	Time 0.437 (0.660)	Data 0.002 (0.033)	Loss 4.5457 (4.5779)	Top-1 acc 20.312 (18.345)	Top-5 acc 39.844 (39.237)	lr 0.02466
Warmup Train [21][380/2134]	Time 0.443 (0.659)	Data 0.003 (0.033)	Loss 4.6389 (4.5782)	Top-1 acc 14.844 (18.350)	Top-5 acc 35.156 (39.242)	lr 0.02465
Warmup Train [21][390/2134]	Time 0.426 (0.658)	Data 0.003 (0.033)	Loss 4.5830 (4.5798)	Top-1 acc 22.656 (18.348)	Top-5 acc 44.141 (39.201)	lr 0.02464
Warmup Train [21][400/2134]	Time 0.687 (0.657)	Data 0.022 (0.032)	Loss 4.5573 (4.5803)	Top-1 acc 20.703 (18.357)	Top-5 acc 39.844 (39.165)	lr 0.02463
Warmup Train [21][410/2134]	Time 0.544 (0.656)	Data 0.003 (0.032)	Loss 4.6350 (4.5808)	Top-1 acc 16.797 (18.354)	Top-5 acc 37.500 (39.166)	lr 0.02462
Warmup Train [21][420/2134]	Time 0.533 (0.655)	Data 0.002 (0.031)	Loss 4.6044 (4.5817)	Top-1 acc 17.969 (18.344)	Top-5 acc 40.234 (39.158)	lr 0.02461
Warmup Train [21][430/2134]	Time 0.830 (0.654)	Data 0.002 (0.031)	Loss 4.4644 (4.5813)	Top-1 acc 20.312 (18.333)	Top-5 acc 39.453 (39.157)	lr 0.02460
Warmup Train [21][440/2134]	Time 0.608 (0.653)	Data 0.003 (0.030)	Loss 4.4668 (4.5804)	Top-1 acc 18.750 (18.352)	Top-5 acc 40.234 (39.193)	lr 0.02460
Warmup Train [21][450/2134]	Time 0.640 (0.653)	Data 0.003 (0.029)	Loss 4.6849 (4.5804)	Top-1 acc 17.969 (18.360)	Top-5 acc 33.594 (39.208)	lr 0.02459
Warmup Train [21][460/2134]	Time 0.465 (0.652)	Data 0.002 (0.029)	Loss 4.6525 (4.5801)	Top-1 acc 16.797 (18.349)	Top-5 acc 36.328 (39.222)	lr 0.02458
Warmup Train [21][470/2134]	Time 0.545 (0.651)	Data 0.002 (0.029)	Loss 4.4902 (4.5795)	Top-1 acc 22.266 (18.359)	Top-5 acc 42.188 (39.238)	lr 0.02457
Warmup Train [21][480/2134]	Time 0.569 (0.650)	Data 0.002 (0.028)	Loss 4.5945 (4.5796)	Top-1 acc 19.922 (18.367)	Top-5 acc 39.062 (39.249)	lr 0.02456
Warmup Train [21][490/2134]	Time 0.671 (0.653)	Data 0.004 (0.028)	Loss 4.6240 (4.5804)	Top-1 acc 18.359 (18.347)	Top-5 acc 38.672 (39.254)	lr 0.02455
Warmup Train [21][500/2134]	Time 0.562 (0.653)	Data 0.002 (0.027)	Loss 4.6290 (4.5802)	Top-1 acc 16.406 (18.343)	Top-5 acc 39.844 (39.269)	lr 0.02454
Warmup Train [21][510/2134]	Time 0.798 (0.652)	Data 0.002 (0.027)	Loss 4.5532 (4.5796)	Top-1 acc 16.016 (18.336)	Top-5 acc 38.672 (39.291)	lr 0.02453
Warmup Train [21][520/2134]	Time 0.445 (0.651)	Data 0.002 (0.027)	Loss 4.6411 (4.5802)	Top-1 acc 18.750 (18.323)	Top-5 acc 39.062 (39.279)	lr 0.02452
Warmup Train [21][530/2134]	Time 0.608 (0.650)	Data 0.002 (0.026)	Loss 4.5104 (4.5806)	Top-1 acc 19.922 (18.321)	Top-5 acc 40.234 (39.281)	lr 0.02451
Warmup Train [21][540/2134]	Time 0.594 (0.649)	Data 0.003 (0.026)	Loss 4.6070 (4.5799)	Top-1 acc 17.578 (18.346)	Top-5 acc 40.234 (39.288)	lr 0.02450
Warmup Train [21][550/2134]	Time 0.486 (0.649)	Data 0.002 (0.025)	Loss 4.7807 (4.5796)	Top-1 acc 14.844 (18.343)	Top-5 acc 35.156 (39.292)	lr 0.02449
Warmup Train [21][560/2134]	Time 0.679 (0.648)	Data 0.002 (0.025)	Loss 4.4181 (4.5799)	Top-1 acc 20.703 (18.334)	Top-5 acc 42.188 (39.285)	lr 0.02449
Warmup Train [21][570/2134]	Time 0.709 (0.647)	Data 0.003 (0.025)	Loss 4.6502 (4.5796)	Top-1 acc 18.750 (18.344)	Top-5 acc 34.375 (39.296)	lr 0.02448
Warmup Train [21][580/2134]	Time 0.599 (0.647)	Data 0.002 (0.025)	Loss 4.8052 (4.5804)	Top-1 acc 14.062 (18.332)	Top-5 acc 32.422 (39.276)	lr 0.02447
Warmup Train [21][590/2134]	Time 0.640 (0.646)	Data 0.002 (0.024)	Loss 4.6188 (4.5802)	Top-1 acc 18.359 (18.333)	Top-5 acc 40.234 (39.267)	lr 0.02446
Warmup Train [21][600/2134]	Time 0.602 (0.646)	Data 0.002 (0.024)	Loss 4.6219 (4.5801)	Top-1 acc 17.578 (18.328)	Top-5 acc 38.672 (39.278)	lr 0.02445
Warmup Train [21][610/2134]	Time 0.706 (0.646)	Data 0.002 (0.024)	Loss 4.4046 (4.5791)	Top-1 acc 18.750 (18.311)	Top-5 acc 44.922 (39.296)	lr 0.02444
Warmup Train [21][620/2134]	Time 0.770 (0.645)	Data 0.002 (0.023)	Loss 4.4962 (4.5797)	Top-1 acc 19.531 (18.316)	Top-5 acc 39.453 (39.282)	lr 0.02443
Warmup Train [21][630/2134]	Time 0.625 (0.645)	Data 0.002 (0.023)	Loss 4.6592 (4.5801)	Top-1 acc 16.797 (18.306)	Top-5 acc 39.844 (39.287)	lr 0.02442
Warmup Train [21][640/2134]	Time 0.585 (0.644)	Data 0.002 (0.023)	Loss 4.4860 (4.5792)	Top-1 acc 19.531 (18.325)	Top-5 acc 39.062 (39.297)	lr 0.02441
Warmup Train [21][650/2134]	Time 0.504 (0.643)	Data 0.003 (0.022)	Loss 4.6044 (4.5791)	Top-1 acc 15.625 (18.313)	Top-5 acc 36.328 (39.281)	lr 0.02440
Warmup Train [21][660/2134]	Time 0.492 (0.643)	Data 0.003 (0.022)	Loss 4.4861 (4.5792)	Top-1 acc 16.406 (18.299)	Top-5 acc 39.844 (39.277)	lr 0.02439
Warmup Train [21][670/2134]	Time 0.675 (0.642)	Data 0.003 (0.022)	Loss 4.7241 (4.5795)	Top-1 acc 16.016 (18.296)	Top-5 acc 36.719 (39.269)	lr 0.02438
Warmup Train [21][680/2134]	Time 0.633 (0.645)	Data 0.002 (0.022)	Loss 4.5208 (4.5800)	Top-1 acc 20.312 (18.283)	Top-5 acc 41.016 (39.256)	lr 0.02437
Warmup Train [21][690/2134]	Time 0.567 (0.644)	Data 0.002 (0.022)	Loss 4.5326 (4.5797)	Top-1 acc 17.188 (18.287)	Top-5 acc 39.062 (39.253)	lr 0.02437
Warmup Train [21][700/2134]	Time 0.503 (0.643)	Data 0.002 (0.022)	Loss 4.5998 (4.5797)	Top-1 acc 21.484 (18.281)	Top-5 acc 33.203 (39.236)	lr 0.02436
Warmup Train [21][710/2134]	Time 0.573 (0.643)	Data 0.002 (0.022)	Loss 4.5718 (4.5801)	Top-1 acc 19.922 (18.264)	Top-5 acc 37.109 (39.212)	lr 0.02435
Warmup Train [21][720/2134]	Time 0.644 (0.643)	Data 0.002 (0.021)	Loss 4.7508 (4.5802)	Top-1 acc 15.625 (18.260)	Top-5 acc 36.719 (39.214)	lr 0.02434
Warmup Train [21][730/2134]	Time 0.699 (0.642)	Data 0.003 (0.021)	Loss 4.6987 (4.5805)	Top-1 acc 18.750 (18.265)	Top-5 acc 33.594 (39.194)	lr 0.02433
Warmup Train [21][740/2134]	Time 0.759 (0.642)	Data 0.002 (0.021)	Loss 4.6066 (4.5806)	Top-1 acc 16.016 (18.261)	Top-5 acc 39.844 (39.199)	lr 0.02432
Warmup Train [21][750/2134]	Time 0.526 (0.641)	Data 0.002 (0.021)	Loss 4.6248 (4.5802)	Top-1 acc 18.750 (18.275)	Top-5 acc 41.797 (39.208)	lr 0.02431
Warmup Train [21][760/2134]	Time 0.639 (0.641)	Data 0.002 (0.021)	Loss 4.5875 (4.5800)	Top-1 acc 19.531 (18.288)	Top-5 acc 41.016 (39.217)	lr 0.02430
Warmup Train [21][770/2134]	Time 0.585 (0.640)	Data 0.002 (0.020)	Loss 4.7129 (4.5800)	Top-1 acc 16.406 (18.284)	Top-5 acc 37.891 (39.225)	lr 0.02429
Warmup Train [21][780/2134]	Time 0.701 (0.640)	Data 0.002 (0.020)	Loss 4.5906 (4.5804)	Top-1 acc 15.625 (18.265)	Top-5 acc 36.328 (39.200)	lr 0.02428
Warmup Train [21][790/2134]	Time 0.668 (0.640)	Data 0.002 (0.020)	Loss 4.4400 (4.5800)	Top-1 acc 24.219 (18.268)	Top-5 acc 45.703 (39.219)	lr 0.02427
Warmup Train [21][800/2134]	Time 0.522 (0.639)	Data 0.002 (0.020)	Loss 4.5637 (4.5802)	Top-1 acc 21.094 (18.267)	Top-5 acc 40.625 (39.216)	lr 0.02426
Warmup Train [21][810/2134]	Time 0.411 (0.639)	Data 0.003 (0.020)	Loss 4.5291 (4.5799)	Top-1 acc 19.141 (18.277)	Top-5 acc 35.547 (39.216)	lr 0.02426
Warmup Train [21][820/2134]	Time 0.566 (0.639)	Data 0.002 (0.020)	Loss 4.4831 (4.5796)	Top-1 acc 17.188 (18.272)	Top-5 acc 39.062 (39.210)	lr 0.02425
Warmup Train [21][830/2134]	Time 0.700 (0.638)	Data 0.002 (0.019)	Loss 4.5413 (4.5791)	Top-1 acc 16.406 (18.272)	Top-5 acc 38.281 (39.226)	lr 0.02424
Warmup Train [21][840/2134]	Time 0.509 (0.638)	Data 0.002 (0.019)	Loss 4.6318 (4.5785)	Top-1 acc 17.969 (18.270)	Top-5 acc 38.672 (39.238)	lr 0.02423
Warmup Train [21][850/2134]	Time 0.673 (0.638)	Data 0.003 (0.019)	Loss 4.8177 (4.5793)	Top-1 acc 13.281 (18.252)	Top-5 acc 32.812 (39.225)	lr 0.02422
Warmup Train [21][860/2134]	Time 0.689 (0.638)	Data 0.002 (0.019)	Loss 4.6116 (4.5786)	Top-1 acc 16.016 (18.262)	Top-5 acc 37.109 (39.234)	lr 0.02421
Warmup Train [21][870/2134]	Time 0.438 (0.637)	Data 0.003 (0.019)	Loss 4.7584 (4.5787)	Top-1 acc 16.406 (18.264)	Top-5 acc 35.547 (39.242)	lr 0.02420
Warmup Train [21][880/2134]	Time 0.578 (0.639)	Data 0.002 (0.019)	Loss 4.3826 (4.5790)	Top-1 acc 20.312 (18.248)	Top-5 acc 46.484 (39.242)	lr 0.02419
Warmup Train [21][890/2134]	Time 0.610 (0.639)	Data 0.006 (0.019)	Loss 4.5277 (4.5792)	Top-1 acc 17.188 (18.245)	Top-5 acc 39.062 (39.231)	lr 0.02418
Warmup Train [21][900/2134]	Time 0.640 (0.638)	Data 0.003 (0.018)	Loss 4.3887 (4.5790)	Top-1 acc 22.266 (18.246)	Top-5 acc 47.656 (39.230)	lr 0.02417
Warmup Train [21][910/2134]	Time 0.687 (0.638)	Data 0.002 (0.018)	Loss 4.5404 (4.5785)	Top-1 acc 16.016 (18.254)	Top-5 acc 41.016 (39.236)	lr 0.02416
Warmup Train [21][920/2134]	Time 0.494 (0.638)	Data 0.003 (0.018)	Loss 4.6466 (4.5776)	Top-1 acc 17.969 (18.268)	Top-5 acc 39.062 (39.260)	lr 0.02415
Warmup Train [21][930/2134]	Time 0.433 (0.637)	Data 0.002 (0.018)	Loss 4.4148 (4.5774)	Top-1 acc 21.094 (18.262)	Top-5 acc 42.578 (39.254)	lr 0.02414
Warmup Train [21][940/2134]	Time 0.449 (0.637)	Data 0.003 (0.018)	Loss 4.4591 (4.5774)	Top-1 acc 21.484 (18.269)	Top-5 acc 42.188 (39.264)	lr 0.02414
Warmup Train [21][950/2134]	Time 0.654 (0.637)	Data 0.002 (0.018)	Loss 4.4862 (4.5780)	Top-1 acc 20.312 (18.272)	Top-5 acc 42.578 (39.256)	lr 0.02413
Warmup Train [21][960/2134]	Time 0.581 (0.636)	Data 0.003 (0.018)	Loss 4.6460 (4.5781)	Top-1 acc 14.062 (18.278)	Top-5 acc 36.328 (39.260)	lr 0.02412
Warmup Train [21][970/2134]	Time 0.733 (0.636)	Data 0.002 (0.018)	Loss 4.4462 (4.5779)	Top-1 acc 21.875 (18.293)	Top-5 acc 40.625 (39.274)	lr 0.02411
Warmup Train [21][980/2134]	Time 0.513 (0.636)	Data 0.002 (0.018)	Loss 4.5096 (4.5772)	Top-1 acc 17.188 (18.295)	Top-5 acc 44.531 (39.290)	lr 0.02410
Warmup Train [21][990/2134]	Time 0.637 (0.635)	Data 0.002 (0.018)	Loss 4.4507 (4.5766)	Top-1 acc 21.094 (18.305)	Top-5 acc 42.188 (39.306)	lr 0.02409
Warmup Train [21][1000/2134]	Time 0.595 (0.635)	Data 0.002 (0.017)	Loss 4.4013 (4.5760)	Top-1 acc 20.703 (18.319)	Top-5 acc 42.969 (39.322)	lr 0.02408
Warmup Train [21][1010/2134]	Time 0.683 (0.635)	Data 0.002 (0.017)	Loss 4.4670 (4.5760)	Top-1 acc 19.141 (18.320)	Top-5 acc 41.016 (39.319)	lr 0.02407
Warmup Train [21][1020/2134]	Time 0.458 (0.634)	Data 0.002 (0.017)	Loss 4.5544 (4.5762)	Top-1 acc 18.750 (18.330)	Top-5 acc 39.844 (39.313)	lr 0.02406
Warmup Train [21][1030/2134]	Time 0.483 (0.634)	Data 0.003 (0.017)	Loss 4.7937 (4.5759)	Top-1 acc 12.109 (18.333)	Top-5 acc 31.641 (39.321)	lr 0.02405
Warmup Train [21][1040/2134]	Time 0.444 (0.634)	Data 0.003 (0.017)	Loss 4.7898 (4.5763)	Top-1 acc 15.625 (18.336)	Top-5 acc 35.938 (39.313)	lr 0.02404
Warmup Train [21][1050/2134]	Time 0.533 (0.634)	Data 0.002 (0.017)	Loss 4.7357 (4.5763)	Top-1 acc 12.891 (18.339)	Top-5 acc 35.156 (39.313)	lr 0.02403
Warmup Train [21][1060/2134]	Time 0.592 (0.633)	Data 0.003 (0.017)	Loss 4.7031 (4.5764)	Top-1 acc 12.109 (18.331)	Top-5 acc 32.812 (39.309)	lr 0.02403
Warmup Train [21][1070/2134]	Time 0.645 (0.633)	Data 0.002 (0.017)	Loss 4.5841 (4.5764)	Top-1 acc 20.703 (18.333)	Top-5 acc 37.109 (39.316)	lr 0.02402
Warmup Train [21][1080/2134]	Time 0.494 (0.635)	Data 0.002 (0.017)	Loss 4.5745 (4.5764)	Top-1 acc 17.188 (18.330)	Top-5 acc 41.406 (39.314)	lr 0.02401
Warmup Train [21][1090/2134]	Time 0.626 (0.635)	Data 0.002 (0.017)	Loss 4.6167 (4.5762)	Top-1 acc 17.578 (18.329)	Top-5 acc 36.719 (39.311)	lr 0.02400
Warmup Train [21][1100/2134]	Time 0.434 (0.634)	Data 0.003 (0.017)	Loss 4.5827 (4.5760)	Top-1 acc 17.578 (18.321)	Top-5 acc 41.406 (39.324)	lr 0.02399
Warmup Train [21][1110/2134]	Time 0.697 (0.634)	Data 0.002 (0.017)	Loss 4.4650 (4.5759)	Top-1 acc 20.703 (18.327)	Top-5 acc 40.625 (39.323)	lr 0.02398
Warmup Train [21][1120/2134]	Time 0.556 (0.634)	Data 0.002 (0.017)	Loss 4.4443 (4.5754)	Top-1 acc 24.609 (18.346)	Top-5 acc 44.141 (39.331)	lr 0.02397
Warmup Train [21][1130/2134]	Time 0.771 (0.634)	Data 0.002 (0.017)	Loss 4.5726 (4.5756)	Top-1 acc 16.406 (18.341)	Top-5 acc 37.500 (39.326)	lr 0.02396
Warmup Train [21][1140/2134]	Time 0.352 (0.633)	Data 0.002 (0.017)	Loss 4.5661 (4.5755)	Top-1 acc 19.141 (18.339)	Top-5 acc 41.406 (39.328)	lr 0.02395
Warmup Train [21][1150/2134]	Time 0.584 (0.633)	Data 0.002 (0.017)	Loss 4.4566 (4.5751)	Top-1 acc 19.141 (18.348)	Top-5 acc 41.797 (39.346)	lr 0.02394
Warmup Train [21][1160/2134]	Time 0.645 (0.633)	Data 0.002 (0.016)	Loss 4.5504 (4.5752)	Top-1 acc 18.750 (18.344)	Top-5 acc 41.016 (39.353)	lr 0.02393
Warmup Train [21][1170/2134]	Time 0.718 (0.632)	Data 0.002 (0.016)	Loss 4.5307 (4.5756)	Top-1 acc 19.531 (18.338)	Top-5 acc 41.016 (39.335)	lr 0.02392
Warmup Train [21][1180/2134]	Time 0.503 (0.632)	Data 0.002 (0.016)	Loss 4.6334 (4.5751)	Top-1 acc 17.969 (18.340)	Top-5 acc 33.203 (39.343)	lr 0.02392
Warmup Train [21][1190/2134]	Time 0.557 (0.632)	Data 0.003 (0.016)	Loss 4.5252 (4.5747)	Top-1 acc 16.406 (18.342)	Top-5 acc 36.719 (39.348)	lr 0.02391
Warmup Train [21][1200/2134]	Time 0.644 (0.632)	Data 0.002 (0.016)	Loss 4.5805 (4.5743)	Top-1 acc 19.141 (18.345)	Top-5 acc 38.672 (39.362)	lr 0.02390
Warmup Train [21][1210/2134]	Time 0.570 (0.632)	Data 0.002 (0.016)	Loss 4.5732 (4.5740)	Top-1 acc 19.141 (18.348)	Top-5 acc 39.844 (39.372)	lr 0.02389
Warmup Train [21][1220/2134]	Time 0.626 (0.631)	Data 0.003 (0.016)	Loss 4.4378 (4.5737)	Top-1 acc 19.141 (18.348)	Top-5 acc 46.875 (39.387)	lr 0.02388
Warmup Train [21][1230/2134]	Time 0.422 (0.631)	Data 0.002 (0.016)	Loss 4.5396 (4.5734)	Top-1 acc 17.188 (18.354)	Top-5 acc 38.672 (39.389)	lr 0.02387
Warmup Train [21][1240/2134]	Time 0.594 (0.631)	Data 0.002 (0.016)	Loss 4.7617 (4.5741)	Top-1 acc 15.625 (18.339)	Top-5 acc 32.031 (39.366)	lr 0.02386
Warmup Train [21][1250/2134]	Time 0.565 (0.631)	Data 0.002 (0.016)	Loss 4.3000 (4.5737)	Top-1 acc 23.047 (18.348)	Top-5 acc 47.656 (39.380)	lr 0.02385
Warmup Train [21][1260/2134]	Time 0.729 (0.631)	Data 0.002 (0.016)	Loss 4.4664 (4.5737)	Top-1 acc 21.484 (18.348)	Top-5 acc 43.750 (39.387)	lr 0.02384
Warmup Train [21][1270/2134]	Time 0.463 (0.631)	Data 0.002 (0.016)	Loss 4.4865 (4.5731)	Top-1 acc 20.312 (18.360)	Top-5 acc 37.109 (39.399)	lr 0.02383
Warmup Train [21][1280/2134]	Time 0.603 (0.632)	Data 0.002 (0.016)	Loss 4.7173 (4.5731)	Top-1 acc 16.406 (18.359)	Top-5 acc 35.547 (39.398)	lr 0.02382
Warmup Train [21][1290/2134]	Time 0.585 (0.632)	Data 0.003 (0.016)	Loss 4.5816 (4.5727)	Top-1 acc 18.359 (18.368)	Top-5 acc 37.500 (39.411)	lr 0.02381
Warmup Train [21][1300/2134]	Time 0.665 (0.632)	Data 0.002 (0.016)	Loss 4.4006 (4.5725)	Top-1 acc 19.531 (18.372)	Top-5 acc 41.797 (39.414)	lr 0.02380
Warmup Train [21][1310/2134]	Time 0.600 (0.631)	Data 0.002 (0.015)	Loss 4.6423 (4.5722)	Top-1 acc 21.484 (18.386)	Top-5 acc 42.578 (39.424)	lr 0.02380
Warmup Train [21][1320/2134]	Time 0.599 (0.631)	Data 0.002 (0.015)	Loss 4.5006 (4.5724)	Top-1 acc 21.094 (18.385)	Top-5 acc 42.578 (39.419)	lr 0.02379
Warmup Train [21][1330/2134]	Time 0.486 (0.631)	Data 0.002 (0.015)	Loss 4.5305 (4.5722)	Top-1 acc 22.266 (18.383)	Top-5 acc 37.109 (39.418)	lr 0.02378
Warmup Train [21][1340/2134]	Time 0.516 (0.630)	Data 0.002 (0.015)	Loss 4.5940 (4.5722)	Top-1 acc 19.141 (18.384)	Top-5 acc 40.234 (39.419)	lr 0.02377
Warmup Train [21][1350/2134]	Time 0.559 (0.630)	Data 0.002 (0.015)	Loss 4.6116 (4.5725)	Top-1 acc 21.094 (18.379)	Top-5 acc 41.016 (39.411)	lr 0.02376
Warmup Train [21][1360/2134]	Time 0.487 (0.630)	Data 0.003 (0.015)	Loss 4.4285 (4.5722)	Top-1 acc 18.359 (18.386)	Top-5 acc 43.750 (39.425)	lr 0.02375
Warmup Train [21][1370/2134]	Time 0.661 (0.630)	Data 0.002 (0.015)	Loss 4.4225 (4.5721)	Top-1 acc 18.750 (18.391)	Top-5 acc 44.531 (39.426)	lr 0.02374
Warmup Train [21][1380/2134]	Time 0.548 (0.630)	Data 0.002 (0.015)	Loss 4.5318 (4.5725)	Top-1 acc 21.484 (18.387)	Top-5 acc 41.406 (39.416)	lr 0.02373
Warmup Train [21][1390/2134]	Time 0.622 (0.629)	Data 0.002 (0.015)	Loss 4.6243 (4.5723)	Top-1 acc 15.625 (18.393)	Top-5 acc 35.547 (39.416)	lr 0.02372
Warmup Train [21][1400/2134]	Time 0.486 (0.629)	Data 0.002 (0.015)	Loss 4.5789 (4.5726)	Top-1 acc 20.703 (18.392)	Top-5 acc 39.062 (39.410)	lr 0.02371
Warmup Train [21][1410/2134]	Time 0.682 (0.629)	Data 0.002 (0.015)	Loss 4.6487 (4.5725)	Top-1 acc 19.141 (18.389)	Top-5 acc 38.672 (39.402)	lr 0.02370
Warmup Train [21][1420/2134]	Time 0.624 (0.629)	Data 0.002 (0.015)	Loss 4.7267 (4.5728)	Top-1 acc 17.578 (18.388)	Top-5 acc 37.891 (39.395)	lr 0.02369
Warmup Train [21][1430/2134]	Time 0.595 (0.629)	Data 0.002 (0.015)	Loss 4.5351 (4.5725)	Top-1 acc 17.188 (18.393)	Top-5 acc 41.406 (39.410)	lr 0.02369
Warmup Train [21][1440/2134]	Time 0.483 (0.629)	Data 0.004 (0.015)	Loss 4.6849 (4.5727)	Top-1 acc 19.141 (18.395)	Top-5 acc 35.938 (39.399)	lr 0.02368
Warmup Train [21][1450/2134]	Time 0.534 (0.629)	Data 0.002 (0.015)	Loss 4.4656 (4.5727)	Top-1 acc 19.531 (18.394)	Top-5 acc 42.188 (39.400)	lr 0.02367
Warmup Train [21][1460/2134]	Time 0.584 (0.629)	Data 0.003 (0.015)	Loss 4.4450 (4.5722)	Top-1 acc 20.703 (18.399)	Top-5 acc 43.750 (39.417)	lr 0.02366
Warmup Train [21][1470/2134]	Time 0.768 (0.629)	Data 0.002 (0.015)	Loss 4.6030 (4.5723)	Top-1 acc 17.188 (18.395)	Top-5 acc 40.234 (39.417)	lr 0.02365
Warmup Train [21][1480/2134]	Time 0.604 (0.628)	Data 0.002 (0.015)	Loss 4.4741 (4.5722)	Top-1 acc 21.875 (18.402)	Top-5 acc 41.797 (39.421)	lr 0.02364
Warmup Train [21][1490/2134]	Time 0.478 (0.629)	Data 0.002 (0.015)	Loss 4.5037 (4.5720)	Top-1 acc 20.312 (18.406)	Top-5 acc 41.406 (39.429)	lr 0.02363
Warmup Train [21][1500/2134]	Time 0.587 (0.630)	Data 0.002 (0.015)	Loss 4.5480 (4.5719)	Top-1 acc 19.141 (18.411)	Top-5 acc 41.016 (39.440)	lr 0.02362
Warmup Train [21][1510/2134]	Time 0.522 (0.629)	Data 0.002 (0.015)	Loss 4.5394 (4.5718)	Top-1 acc 18.359 (18.407)	Top-5 acc 37.891 (39.442)	lr 0.02361
Warmup Train [21][1520/2134]	Time 0.656 (0.629)	Data 0.002 (0.015)	Loss 4.7606 (4.5720)	Top-1 acc 13.281 (18.401)	Top-5 acc 32.812 (39.434)	lr 0.02360
Warmup Train [21][1530/2134]	Time 0.647 (0.629)	Data 0.028 (0.014)	Loss 4.5430 (4.5721)	Top-1 acc 17.578 (18.400)	Top-5 acc 38.281 (39.432)	lr 0.02359
Warmup Train [21][1540/2134]	Time 0.447 (0.628)	Data 0.002 (0.014)	Loss 4.5402 (4.5721)	Top-1 acc 20.703 (18.398)	Top-5 acc 40.625 (39.426)	lr 0.02358
Warmup Train [21][1550/2134]	Time 0.499 (0.628)	Data 0.002 (0.014)	Loss 4.5702 (4.5723)	Top-1 acc 20.312 (18.396)	Top-5 acc 41.016 (39.420)	lr 0.02358
Warmup Train [21][1560/2134]	Time 0.699 (0.628)	Data 0.002 (0.014)	Loss 4.4808 (4.5723)	Top-1 acc 23.047 (18.401)	Top-5 acc 42.969 (39.427)	lr 0.02357
Warmup Train [21][1570/2134]	Time 0.649 (0.628)	Data 0.002 (0.014)	Loss 4.8901 (4.5724)	Top-1 acc 12.500 (18.396)	Top-5 acc 30.859 (39.422)	lr 0.02356
Warmup Train [21][1580/2134]	Time 0.638 (0.628)	Data 0.003 (0.014)	Loss 4.7509 (4.5726)	Top-1 acc 14.844 (18.393)	Top-5 acc 33.984 (39.420)	lr 0.02355
Warmup Train [21][1590/2134]	Time 0.622 (0.627)	Data 0.002 (0.014)	Loss 4.5668 (4.5726)	Top-1 acc 16.406 (18.390)	Top-5 acc 37.109 (39.414)	lr 0.02354
Warmup Train [21][1600/2134]	Time 0.669 (0.627)	Data 0.002 (0.014)	Loss 4.5444 (4.5728)	Top-1 acc 17.578 (18.379)	Top-5 acc 39.453 (39.410)	lr 0.02353
Warmup Train [21][1610/2134]	Time 0.727 (0.627)	Data 0.002 (0.014)	Loss 4.6528 (4.5726)	Top-1 acc 18.359 (18.384)	Top-5 acc 41.016 (39.415)	lr 0.02352
Warmup Train [21][1620/2134]	Time 0.623 (0.627)	Data 0.002 (0.014)	Loss 4.4548 (4.5724)	Top-1 acc 16.797 (18.383)	Top-5 acc 41.016 (39.422)	lr 0.02351
Warmup Train [21][1630/2134]	Time 0.727 (0.627)	Data 0.003 (0.014)	Loss 4.5135 (4.5718)	Top-1 acc 21.094 (18.390)	Top-5 acc 42.188 (39.434)	lr 0.02350
Warmup Train [21][1640/2134]	Time 0.618 (0.627)	Data 0.002 (0.014)	Loss 4.4595 (4.5716)	Top-1 acc 20.703 (18.398)	Top-5 acc 39.062 (39.434)	lr 0.02349
Warmup Train [21][1650/2134]	Time 0.616 (0.627)	Data 0.002 (0.014)	Loss 4.5782 (4.5716)	Top-1 acc 19.531 (18.401)	Top-5 acc 41.797 (39.438)	lr 0.02348
Warmup Train [21][1660/2134]	Time 0.739 (0.627)	Data 0.002 (0.014)	Loss 4.5724 (4.5712)	Top-1 acc 20.312 (18.407)	Top-5 acc 39.453 (39.447)	lr 0.02347
Warmup Train [21][1670/2134]	Time 0.793 (0.627)	Data 0.002 (0.014)	Loss 4.5348 (4.5710)	Top-1 acc 18.359 (18.404)	Top-5 acc 38.672 (39.447)	lr 0.02347
Warmup Train [21][1680/2134]	Time 0.669 (0.627)	Data 0.002 (0.014)	Loss 4.6341 (4.5709)	Top-1 acc 15.234 (18.402)	Top-5 acc 34.766 (39.452)	lr 0.02346
Warmup Train [21][1690/2134]	Time 0.597 (0.628)	Data 0.002 (0.014)	Loss 4.6330 (4.5709)	Top-1 acc 17.969 (18.397)	Top-5 acc 40.625 (39.454)	lr 0.02345
Warmup Train [21][1700/2134]	Time 0.687 (0.628)	Data 0.003 (0.014)	Loss 4.5856 (4.5710)	Top-1 acc 17.969 (18.396)	Top-5 acc 39.062 (39.446)	lr 0.02344
Warmup Train [21][1710/2134]	Time 0.597 (0.627)	Data 0.002 (0.013)	Loss 4.5396 (4.5711)	Top-1 acc 19.531 (18.384)	Top-5 acc 39.062 (39.444)	lr 0.02343
Warmup Train [21][1720/2134]	Time 0.659 (0.627)	Data 0.002 (0.013)	Loss 4.4605 (4.5708)	Top-1 acc 20.703 (18.393)	Top-5 acc 39.453 (39.453)	lr 0.02342
Warmup Train [21][1730/2134]	Time 0.624 (0.627)	Data 0.002 (0.013)	Loss 4.4618 (4.5708)	Top-1 acc 22.656 (18.397)	Top-5 acc 38.281 (39.458)	lr 0.02341
Warmup Train [21][1740/2134]	Time 0.508 (0.627)	Data 0.002 (0.013)	Loss 4.5226 (4.5707)	Top-1 acc 19.141 (18.397)	Top-5 acc 37.891 (39.463)	lr 0.02340
Warmup Train [21][1750/2134]	Time 0.570 (0.627)	Data 0.002 (0.013)	Loss 4.5895 (4.5708)	Top-1 acc 19.141 (18.389)	Top-5 acc 41.016 (39.458)	lr 0.02339
Warmup Train [21][1760/2134]	Time 0.623 (0.627)	Data 0.003 (0.013)	Loss 4.3717 (4.5705)	Top-1 acc 19.531 (18.395)	Top-5 acc 43.359 (39.466)	lr 0.02338
Warmup Train [21][1770/2134]	Time 0.769 (0.627)	Data 0.002 (0.013)	Loss 4.7553 (4.5706)	Top-1 acc 14.453 (18.390)	Top-5 acc 35.547 (39.466)	lr 0.02337
Warmup Train [21][1780/2134]	Time 0.644 (0.627)	Data 0.005 (0.013)	Loss 4.7255 (4.5707)	Top-1 acc 16.016 (18.385)	Top-5 acc 35.938 (39.462)	lr 0.02336
Warmup Train [21][1790/2134]	Time 0.499 (0.626)	Data 0.002 (0.013)	Loss 4.4399 (4.5705)	Top-1 acc 21.484 (18.390)	Top-5 acc 39.453 (39.467)	lr 0.02335
Warmup Train [21][1800/2134]	Time 0.591 (0.626)	Data 0.003 (0.013)	Loss 4.6380 (4.5705)	Top-1 acc 14.844 (18.388)	Top-5 acc 34.766 (39.459)	lr 0.02335
Warmup Train [21][1810/2134]	Time 0.737 (0.626)	Data 0.005 (0.013)	Loss 4.6150 (4.5708)	Top-1 acc 18.359 (18.386)	Top-5 acc 36.328 (39.446)	lr 0.02334
Warmup Train [21][1820/2134]	Time 0.613 (0.626)	Data 0.003 (0.013)	Loss 4.6814 (4.5707)	Top-1 acc 17.969 (18.384)	Top-5 acc 36.719 (39.457)	lr 0.02333
Warmup Train [21][1830/2134]	Time 0.589 (0.626)	Data 0.002 (0.013)	Loss 4.5113 (4.5705)	Top-1 acc 21.094 (18.384)	Top-5 acc 44.531 (39.460)	lr 0.02332
Warmup Train [21][1840/2134]	Time 0.698 (0.626)	Data 0.002 (0.013)	Loss 4.5827 (4.5704)	Top-1 acc 19.141 (18.385)	Top-5 acc 38.672 (39.467)	lr 0.02331
Warmup Train [21][1850/2134]	Time 0.499 (0.626)	Data 0.002 (0.013)	Loss 4.5574 (4.5703)	Top-1 acc 16.406 (18.385)	Top-5 acc 39.844 (39.469)	lr 0.02330
Warmup Train [21][1860/2134]	Time 0.629 (0.626)	Data 0.002 (0.013)	Loss 4.4229 (4.5703)	Top-1 acc 19.922 (18.385)	Top-5 acc 42.578 (39.466)	lr 0.02329
Warmup Train [21][1870/2134]	Time 0.656 (0.626)	Data 0.002 (0.013)	Loss 4.4267 (4.5703)	Top-1 acc 20.703 (18.385)	Top-5 acc 44.531 (39.470)	lr 0.02328
Warmup Train [21][1880/2134]	Time 0.617 (0.626)	Data 0.002 (0.013)	Loss 4.5477 (4.5699)	Top-1 acc 16.016 (18.389)	Top-5 acc 37.891 (39.474)	lr 0.02327
Warmup Train [21][1890/2134]	Time 0.559 (0.626)	Data 0.002 (0.013)	Loss 4.4723 (4.5696)	Top-1 acc 19.531 (18.399)	Top-5 acc 42.969 (39.487)	lr 0.02326
Warmup Train [21][1900/2134]	Time 0.744 (0.626)	Data 0.002 (0.013)	Loss 4.6464 (4.5695)	Top-1 acc 16.016 (18.403)	Top-5 acc 38.281 (39.487)	lr 0.02325
Warmup Train [21][1910/2134]	Time 0.693 (0.626)	Data 0.002 (0.013)	Loss 4.5233 (4.5689)	Top-1 acc 15.625 (18.412)	Top-5 acc 36.328 (39.496)	lr 0.02324
Warmup Train [21][1920/2134]	Time 0.761 (0.626)	Data 0.003 (0.013)	Loss 4.4055 (4.5689)	Top-1 acc 19.922 (18.412)	Top-5 acc 43.359 (39.497)	lr 0.02324
Warmup Train [21][1930/2134]	Time 0.562 (0.626)	Data 0.002 (0.013)	Loss 4.6760 (4.5694)	Top-1 acc 14.453 (18.410)	Top-5 acc 37.109 (39.490)	lr 0.02323
Warmup Train [21][1940/2134]	Time 0.748 (0.626)	Data 0.002 (0.013)	Loss 4.5818 (4.5695)	Top-1 acc 17.969 (18.412)	Top-5 acc 37.891 (39.495)	lr 0.02322
Warmup Train [21][1950/2134]	Time 0.510 (0.626)	Data 0.002 (0.013)	Loss 4.5116 (4.5692)	Top-1 acc 18.359 (18.417)	Top-5 acc 39.062 (39.502)	lr 0.02321
Warmup Train [21][1960/2134]	Time 0.789 (0.626)	Data 0.002 (0.013)	Loss 4.5562 (4.5691)	Top-1 acc 16.406 (18.420)	Top-5 acc 38.281 (39.504)	lr 0.02320
Warmup Train [21][1970/2134]	Time 0.648 (0.626)	Data 0.002 (0.013)	Loss 4.5108 (4.5688)	Top-1 acc 21.094 (18.427)	Top-5 acc 41.797 (39.513)	lr 0.02319
Warmup Train [21][1980/2134]	Time 0.637 (0.626)	Data 0.002 (0.013)	Loss 4.5420 (4.5690)	Top-1 acc 18.750 (18.422)	Top-5 acc 41.797 (39.508)	lr 0.02318
Warmup Train [21][1990/2134]	Time 0.625 (0.626)	Data 0.002 (0.013)	Loss 4.5283 (4.5689)	Top-1 acc 17.578 (18.428)	Top-5 acc 37.109 (39.510)	lr 0.02317
Warmup Train [21][2000/2134]	Time 0.733 (0.626)	Data 0.002 (0.012)	Loss 4.4505 (4.5688)	Top-1 acc 21.875 (18.429)	Top-5 acc 43.359 (39.514)	lr 0.02316
Warmup Train [21][2010/2134]	Time 0.608 (0.626)	Data 0.002 (0.012)	Loss 4.5806 (4.5687)	Top-1 acc 16.016 (18.434)	Top-5 acc 39.844 (39.516)	lr 0.02315
Warmup Train [21][2020/2134]	Time 0.461 (0.625)	Data 0.002 (0.012)	Loss 4.4645 (4.5684)	Top-1 acc 19.531 (18.436)	Top-5 acc 38.672 (39.524)	lr 0.02314
Warmup Train [21][2030/2134]	Time 0.649 (0.625)	Data 0.002 (0.012)	Loss 4.7681 (4.5681)	Top-1 acc 16.016 (18.438)	Top-5 acc 34.375 (39.526)	lr 0.02313
Warmup Train [21][2040/2134]	Time 0.612 (0.625)	Data 0.002 (0.012)	Loss 4.5005 (4.5683)	Top-1 acc 19.141 (18.443)	Top-5 acc 39.453 (39.523)	lr 0.02313
Warmup Train [21][2050/2134]	Time 0.446 (0.625)	Data 0.004 (0.012)	Loss 4.4937 (4.5683)	Top-1 acc 14.844 (18.441)	Top-5 acc 39.453 (39.524)	lr 0.02312
Warmup Train [21][2060/2134]	Time 0.630 (0.625)	Data 0.002 (0.012)	Loss 4.4973 (4.5681)	Top-1 acc 19.141 (18.448)	Top-5 acc 39.844 (39.531)	lr 0.02311
Warmup Train [21][2070/2134]	Time 0.699 (0.625)	Data 0.002 (0.012)	Loss 4.4464 (4.5680)	Top-1 acc 23.047 (18.449)	Top-5 acc 41.797 (39.533)	lr 0.02310
Warmup Train [21][2080/2134]	Time 0.451 (0.625)	Data 0.000 (0.012)	Loss 4.4562 (4.5678)	Top-1 acc 21.484 (18.450)	Top-5 acc 42.578 (39.536)	lr 0.02309
Warmup Train [21][2090/2134]	Time 0.601 (0.626)	Data 0.000 (0.012)	Loss 4.5184 (4.5678)	Top-1 acc 16.797 (18.444)	Top-5 acc 38.672 (39.534)	lr 0.02308
Warmup Train [21][2100/2134]	Time 0.527 (0.625)	Data 0.000 (0.012)	Loss 4.6260 (4.5676)	Top-1 acc 18.359 (18.449)	Top-5 acc 39.844 (39.541)	lr 0.02307
Warmup Train [21][2110/2134]	Time 0.810 (0.625)	Data 0.000 (0.012)	Loss 4.5449 (4.5675)	Top-1 acc 18.750 (18.448)	Top-5 acc 37.500 (39.544)	lr 0.02306
Warmup Train [21][2120/2134]	Time 0.692 (0.625)	Data 0.000 (0.012)	Loss 4.6141 (4.5674)	Top-1 acc 18.359 (18.453)	Top-5 acc 41.016 (39.539)	lr 0.02305
Warmup Train [21][2130/2134]	Time 0.645 (0.625)	Data 0.000 (0.012)	Loss 4.6033 (4.5674)	Top-1 acc 16.016 (18.451)	Top-5 acc 38.672 (39.534)	lr 0.02304
Warmup Train [21][2134/2134]	Time 0.460 (0.625)	Data 0.000 (0.012)	Loss 4.5568 (4.5673)	Top-1 acc 17.112 (18.451)	Top-5 acc 38.503 (39.533)	lr 0.02304
==========Warmup Valid [21/40]	loss 3.652	top-1 acc 24.757	top-5 acc 49.491	Train top-1 18.451	top-5 39.533	flops: 442.4M
Warmup Train [22][0/2134]	Time 12.233 (12.233)	Data 10.365 (10.365)	Loss 4.4593 (4.4593)	Top-1 acc 23.047 (23.047)	Top-5 acc 41.016 (41.016)	lr 0.02304
Warmup Train [22][10/2134]	Time 0.688 (1.831)	Data 0.002 (0.958)	Loss 4.7552 (4.5607)	Top-1 acc 13.281 (19.212)	Top-5 acc 36.719 (39.560)	lr 0.02303
Warmup Train [22][20/2134]	Time 0.698 (1.259)	Data 0.002 (0.503)	Loss 4.4996 (4.5481)	Top-1 acc 19.922 (19.401)	Top-5 acc 41.406 (39.825)	lr 0.02302
Warmup Train [22][30/2134]	Time 0.712 (1.054)	Data 0.003 (0.342)	Loss 4.5353 (4.5521)	Top-1 acc 18.750 (19.103)	Top-5 acc 41.016 (39.945)	lr 0.02301
Warmup Train [22][40/2134]	Time 0.456 (0.942)	Data 0.002 (0.259)	Loss 4.6557 (4.5482)	Top-1 acc 17.969 (18.836)	Top-5 acc 40.625 (39.758)	lr 0.02300
Warmup Train [22][50/2134]	Time 0.558 (0.884)	Data 0.004 (0.213)	Loss 4.4747 (4.5514)	Top-1 acc 18.359 (18.627)	Top-5 acc 42.969 (39.591)	lr 0.02299
Warmup Train [22][60/2134]	Time 0.663 (0.845)	Data 0.002 (0.180)	Loss 4.5271 (4.5359)	Top-1 acc 21.094 (18.936)	Top-5 acc 42.188 (40.093)	lr 0.02298
Warmup Train [22][70/2134]	Time 0.559 (0.814)	Data 0.003 (0.155)	Loss 4.5776 (4.5302)	Top-1 acc 18.750 (18.998)	Top-5 acc 40.234 (40.322)	lr 0.02297
Warmup Train [22][80/2134]	Time 0.518 (0.786)	Data 0.002 (0.137)	Loss 4.5179 (4.5297)	Top-1 acc 16.797 (19.010)	Top-5 acc 41.406 (40.292)	lr 0.02297
Warmup Train [22][90/2134]	Time 0.640 (0.769)	Data 0.003 (0.124)	Loss 4.4685 (4.5336)	Top-1 acc 25.391 (18.986)	Top-5 acc 42.578 (40.144)	lr 0.02296
Warmup Train [22][100/2134]	Time 0.515 (0.751)	Data 0.002 (0.112)	Loss 4.4764 (4.5311)	Top-1 acc 18.750 (19.025)	Top-5 acc 41.797 (40.292)	lr 0.02295
Warmup Train [22][110/2134]	Time 0.550 (0.739)	Data 0.029 (0.103)	Loss 4.5091 (4.5311)	Top-1 acc 20.312 (19.003)	Top-5 acc 42.578 (40.372)	lr 0.02294
Warmup Train [22][120/2134]	Time 0.596 (0.728)	Data 0.003 (0.096)	Loss 4.6752 (4.5298)	Top-1 acc 17.578 (18.979)	Top-5 acc 39.453 (40.367)	lr 0.02293
Warmup Train [22][130/2134]	Time 0.560 (0.742)	Data 0.003 (0.089)	Loss 4.4911 (4.5286)	Top-1 acc 20.703 (19.012)	Top-5 acc 42.578 (40.443)	lr 0.02292
Warmup Train [22][140/2134]	Time 0.672 (0.733)	Data 0.002 (0.083)	Loss 4.5225 (4.5334)	Top-1 acc 19.531 (18.925)	Top-5 acc 40.234 (40.290)	lr 0.02291
Warmup Train [22][150/2134]	Time 0.543 (0.725)	Data 0.002 (0.078)	Loss 4.7070 (4.5346)	Top-1 acc 16.797 (18.934)	Top-5 acc 39.844 (40.289)	lr 0.02290
Warmup Train [22][160/2134]	Time 0.602 (0.719)	Data 0.002 (0.074)	Loss 4.5753 (4.5346)	Top-1 acc 18.750 (18.852)	Top-5 acc 38.672 (40.285)	lr 0.02289
Warmup Train [22][170/2134]	Time 0.668 (0.711)	Data 0.003 (0.070)	Loss 4.4494 (4.5385)	Top-1 acc 22.656 (18.798)	Top-5 acc 42.969 (40.214)	lr 0.02288
Warmup Train [22][180/2134]	Time 0.570 (0.706)	Data 0.002 (0.067)	Loss 4.5462 (4.5401)	Top-1 acc 20.312 (18.774)	Top-5 acc 41.016 (40.187)	lr 0.02287
Warmup Train [22][190/2134]	Time 0.625 (0.701)	Data 0.003 (0.064)	Loss 4.4295 (4.5403)	Top-1 acc 22.656 (18.799)	Top-5 acc 43.750 (40.206)	lr 0.02286
Warmup Train [22][200/2134]	Time 0.572 (0.694)	Data 0.002 (0.061)	Loss 4.5239 (4.5394)	Top-1 acc 17.969 (18.762)	Top-5 acc 41.016 (40.153)	lr 0.02286
Warmup Train [22][210/2134]	Time 0.429 (0.690)	Data 0.002 (0.058)	Loss 4.6275 (4.5381)	Top-1 acc 19.141 (18.765)	Top-5 acc 39.062 (40.121)	lr 0.02285
Warmup Train [22][220/2134]	Time 0.650 (0.688)	Data 0.002 (0.057)	Loss 4.6289 (4.5362)	Top-1 acc 19.531 (18.778)	Top-5 acc 38.672 (40.148)	lr 0.02284
Warmup Train [22][230/2134]	Time 0.643 (0.685)	Data 0.003 (0.054)	Loss 4.5440 (4.5385)	Top-1 acc 16.797 (18.748)	Top-5 acc 40.625 (40.143)	lr 0.02283
Warmup Train [22][240/2134]	Time 0.556 (0.682)	Data 0.003 (0.052)	Loss 4.4280 (4.5390)	Top-1 acc 20.312 (18.782)	Top-5 acc 44.531 (40.147)	lr 0.02282
Warmup Train [22][250/2134]	Time 0.591 (0.680)	Data 0.002 (0.051)	Loss 4.5231 (4.5408)	Top-1 acc 16.406 (18.747)	Top-5 acc 38.672 (40.119)	lr 0.02281
Warmup Train [22][260/2134]	Time 0.515 (0.677)	Data 0.003 (0.049)	Loss 4.6599 (4.5405)	Top-1 acc 19.531 (18.772)	Top-5 acc 39.844 (40.131)	lr 0.02280
Warmup Train [22][270/2134]	Time 0.751 (0.675)	Data 0.003 (0.048)	Loss 4.6024 (4.5394)	Top-1 acc 18.750 (18.792)	Top-5 acc 35.156 (40.181)	lr 0.02279
Warmup Train [22][280/2134]	Time 0.592 (0.672)	Data 0.002 (0.046)	Loss 4.5713 (4.5405)	Top-1 acc 18.359 (18.779)	Top-5 acc 36.719 (40.151)	lr 0.02278
Warmup Train [22][290/2134]	Time 0.821 (0.670)	Data 0.002 (0.045)	Loss 4.4495 (4.5403)	Top-1 acc 18.750 (18.780)	Top-5 acc 42.969 (40.151)	lr 0.02277
Warmup Train [22][300/2134]	Time 0.782 (0.668)	Data 0.003 (0.043)	Loss 4.5032 (4.5386)	Top-1 acc 19.141 (18.817)	Top-5 acc 40.234 (40.198)	lr 0.02276
Warmup Train [22][310/2134]	Time 0.475 (0.666)	Data 0.003 (0.042)	Loss 4.5809 (4.5389)	Top-1 acc 18.750 (18.828)	Top-5 acc 37.891 (40.153)	lr 0.02275
Warmup Train [22][320/2134]	Time 0.556 (0.665)	Data 0.003 (0.041)	Loss 4.5707 (4.5387)	Top-1 acc 16.797 (18.800)	Top-5 acc 38.281 (40.146)	lr 0.02275
Warmup Train [22][330/2134]	Time 0.636 (0.664)	Data 0.002 (0.040)	Loss 4.4968 (4.5375)	Top-1 acc 23.047 (18.830)	Top-5 acc 43.359 (40.168)	lr 0.02274
Warmup Train [22][340/2134]	Time 0.747 (0.668)	Data 0.002 (0.039)	Loss 4.4588 (4.5374)	Top-1 acc 19.141 (18.836)	Top-5 acc 44.141 (40.186)	lr 0.02273
Warmup Train [22][350/2134]	Time 0.591 (0.666)	Data 0.002 (0.038)	Loss 4.6717 (4.5379)	Top-1 acc 17.969 (18.828)	Top-5 acc 35.938 (40.178)	lr 0.02272
Warmup Train [22][360/2134]	Time 0.597 (0.665)	Data 0.002 (0.037)	Loss 4.4290 (4.5361)	Top-1 acc 20.703 (18.863)	Top-5 acc 42.188 (40.220)	lr 0.02271
Warmup Train [22][370/2134]	Time 0.630 (0.663)	Data 0.002 (0.036)	Loss 4.5777 (4.5343)	Top-1 acc 16.406 (18.883)	Top-5 acc 37.109 (40.267)	lr 0.02270
Warmup Train [22][380/2134]	Time 0.553 (0.662)	Data 0.003 (0.035)	Loss 4.6892 (4.5335)	Top-1 acc 14.453 (18.870)	Top-5 acc 35.938 (40.293)	lr 0.02269
Warmup Train [22][390/2134]	Time 0.625 (0.660)	Data 0.003 (0.035)	Loss 4.4589 (4.5339)	Top-1 acc 25.391 (18.887)	Top-5 acc 44.922 (40.295)	lr 0.02268
Warmup Train [22][400/2134]	Time 0.716 (0.660)	Data 0.003 (0.034)	Loss 4.5636 (4.5334)	Top-1 acc 18.359 (18.899)	Top-5 acc 40.625 (40.358)	lr 0.02267
Warmup Train [22][410/2134]	Time 0.596 (0.658)	Data 0.002 (0.034)	Loss 4.4355 (4.5337)	Top-1 acc 18.750 (18.903)	Top-5 acc 42.188 (40.366)	lr 0.02266
Warmup Train [22][420/2134]	Time 0.665 (0.658)	Data 0.002 (0.033)	Loss 4.4000 (4.5343)	Top-1 acc 21.094 (18.911)	Top-5 acc 44.141 (40.368)	lr 0.02265
Warmup Train [22][430/2134]	Time 0.668 (0.657)	Data 0.003 (0.032)	Loss 4.6433 (4.5350)	Top-1 acc 14.844 (18.902)	Top-5 acc 36.719 (40.378)	lr 0.02264
Warmup Train [22][440/2134]	Time 0.553 (0.656)	Data 0.002 (0.032)	Loss 4.5005 (4.5356)	Top-1 acc 17.969 (18.901)	Top-5 acc 41.797 (40.371)	lr 0.02264
Warmup Train [22][450/2134]	Time 0.347 (0.654)	Data 0.002 (0.031)	Loss 4.6691 (4.5359)	Top-1 acc 15.625 (18.907)	Top-5 acc 38.281 (40.363)	lr 0.02263
Warmup Train [22][460/2134]	Time 0.718 (0.654)	Data 0.002 (0.031)	Loss 4.4429 (4.5352)	Top-1 acc 20.312 (18.925)	Top-5 acc 41.406 (40.373)	lr 0.02262
Warmup Train [22][470/2134]	Time 0.612 (0.653)	Data 0.003 (0.030)	Loss 4.6107 (4.5352)	Top-1 acc 17.578 (18.938)	Top-5 acc 39.062 (40.371)	lr 0.02261
Warmup Train [22][480/2134]	Time 0.562 (0.652)	Data 0.002 (0.030)	Loss 4.6496 (4.5361)	Top-1 acc 14.844 (18.916)	Top-5 acc 38.672 (40.355)	lr 0.02260
Warmup Train [22][490/2134]	Time 0.485 (0.650)	Data 0.002 (0.029)	Loss 4.5342 (4.5369)	Top-1 acc 20.703 (18.919)	Top-5 acc 41.406 (40.339)	lr 0.02259
Warmup Train [22][500/2134]	Time 0.712 (0.650)	Data 0.002 (0.029)	Loss 4.4914 (4.5360)	Top-1 acc 20.703 (18.933)	Top-5 acc 44.922 (40.358)	lr 0.02258
Warmup Train [22][510/2134]	Time 0.661 (0.649)	Data 0.002 (0.029)	Loss 4.6956 (4.5367)	Top-1 acc 17.578 (18.945)	Top-5 acc 37.891 (40.348)	lr 0.02257
Warmup Train [22][520/2134]	Time 0.602 (0.648)	Data 0.002 (0.028)	Loss 4.7058 (4.5372)	Top-1 acc 20.312 (18.949)	Top-5 acc 36.328 (40.341)	lr 0.02256
Warmup Train [22][530/2134]	Time 0.529 (0.648)	Data 0.002 (0.028)	Loss 4.5574 (4.5377)	Top-1 acc 20.703 (18.963)	Top-5 acc 41.016 (40.340)	lr 0.02255
Warmup Train [22][540/2134]	Time 0.760 (0.647)	Data 0.002 (0.027)	Loss 4.5920 (4.5374)	Top-1 acc 17.969 (18.952)	Top-5 acc 39.453 (40.338)	lr 0.02254
Warmup Train [22][550/2134]	Time 0.571 (0.650)	Data 0.002 (0.027)	Loss 4.3857 (4.5373)	Top-1 acc 23.828 (18.959)	Top-5 acc 42.969 (40.361)	lr 0.02253
Warmup Train [22][560/2134]	Time 0.657 (0.650)	Data 0.004 (0.027)	Loss 4.3777 (4.5365)	Top-1 acc 22.656 (18.982)	Top-5 acc 42.969 (40.392)	lr 0.02253
Warmup Train [22][570/2134]	Time 0.618 (0.649)	Data 0.002 (0.026)	Loss 4.5952 (4.5353)	Top-1 acc 16.016 (18.980)	Top-5 acc 34.375 (40.421)	lr 0.02252
Warmup Train [22][580/2134]	Time 0.597 (0.649)	Data 0.002 (0.026)	Loss 4.6323 (4.5350)	Top-1 acc 19.531 (18.991)	Top-5 acc 37.891 (40.441)	lr 0.02251
Warmup Train [22][590/2134]	Time 0.695 (0.648)	Data 0.002 (0.025)	Loss 4.5024 (4.5349)	Top-1 acc 15.625 (18.980)	Top-5 acc 37.109 (40.440)	lr 0.02250
Warmup Train [22][600/2134]	Time 0.633 (0.648)	Data 0.002 (0.025)	Loss 4.5804 (4.5344)	Top-1 acc 18.750 (18.996)	Top-5 acc 37.891 (40.441)	lr 0.02249
Warmup Train [22][610/2134]	Time 0.626 (0.647)	Data 0.002 (0.025)	Loss 4.4531 (4.5336)	Top-1 acc 21.094 (19.011)	Top-5 acc 41.406 (40.447)	lr 0.02248
Warmup Train [22][620/2134]	Time 0.609 (0.646)	Data 0.002 (0.024)	Loss 4.5427 (4.5331)	Top-1 acc 17.969 (19.025)	Top-5 acc 39.062 (40.458)	lr 0.02247
Warmup Train [22][630/2134]	Time 0.637 (0.646)	Data 0.002 (0.024)	Loss 4.5665 (4.5334)	Top-1 acc 17.578 (19.024)	Top-5 acc 41.797 (40.454)	lr 0.02246
Warmup Train [22][640/2134]	Time 0.419 (0.646)	Data 0.003 (0.024)	Loss 4.5071 (4.5321)	Top-1 acc 21.094 (19.051)	Top-5 acc 38.281 (40.473)	lr 0.02245
Warmup Train [22][650/2134]	Time 0.576 (0.645)	Data 0.002 (0.024)	Loss 4.5042 (4.5319)	Top-1 acc 17.578 (19.057)	Top-5 acc 39.453 (40.486)	lr 0.02244
Warmup Train [22][660/2134]	Time 0.673 (0.645)	Data 0.003 (0.023)	Loss 4.6160 (4.5321)	Top-1 acc 19.531 (19.057)	Top-5 acc 39.062 (40.477)	lr 0.02243
Warmup Train [22][670/2134]	Time 0.741 (0.644)	Data 0.002 (0.023)	Loss 4.3565 (4.5317)	Top-1 acc 21.484 (19.066)	Top-5 acc 45.703 (40.489)	lr 0.02242
Warmup Train [22][680/2134]	Time 0.612 (0.644)	Data 0.002 (0.023)	Loss 4.6022 (4.5323)	Top-1 acc 14.844 (19.052)	Top-5 acc 35.938 (40.478)	lr 0.02242
Warmup Train [22][690/2134]	Time 0.839 (0.643)	Data 0.002 (0.023)	Loss 4.4646 (4.5323)	Top-1 acc 22.266 (19.066)	Top-5 acc 42.578 (40.475)	lr 0.02241
Warmup Train [22][700/2134]	Time 0.665 (0.643)	Data 0.002 (0.022)	Loss 4.4099 (4.5322)	Top-1 acc 22.656 (19.065)	Top-5 acc 45.312 (40.472)	lr 0.02240
Warmup Train [22][710/2134]	Time 0.662 (0.643)	Data 0.002 (0.022)	Loss 4.4592 (4.5319)	Top-1 acc 16.797 (19.054)	Top-5 acc 43.750 (40.483)	lr 0.02239
Warmup Train [22][720/2134]	Time 0.778 (0.642)	Data 0.002 (0.022)	Loss 4.4531 (4.5312)	Top-1 acc 19.141 (19.058)	Top-5 acc 39.062 (40.492)	lr 0.02238
Warmup Train [22][730/2134]	Time 0.704 (0.642)	Data 0.002 (0.022)	Loss 4.6073 (4.5312)	Top-1 acc 17.578 (19.042)	Top-5 acc 34.766 (40.491)	lr 0.02237
Warmup Train [22][740/2134]	Time 0.722 (0.642)	Data 0.002 (0.021)	Loss 4.5076 (4.5316)	Top-1 acc 25.391 (19.038)	Top-5 acc 43.750 (40.489)	lr 0.02236
Warmup Train [22][750/2134]	Time 0.645 (0.644)	Data 0.002 (0.021)	Loss 4.3990 (4.5315)	Top-1 acc 23.438 (19.046)	Top-5 acc 46.484 (40.491)	lr 0.02235
Warmup Train [22][760/2134]	Time 0.668 (0.644)	Data 0.002 (0.021)	Loss 4.4764 (4.5315)	Top-1 acc 18.359 (19.043)	Top-5 acc 34.766 (40.490)	lr 0.02234
Warmup Train [22][770/2134]	Time 0.620 (0.643)	Data 0.002 (0.021)	Loss 4.5233 (4.5314)	Top-1 acc 21.875 (19.060)	Top-5 acc 36.719 (40.480)	lr 0.02233
Warmup Train [22][780/2134]	Time 0.676 (0.643)	Data 0.002 (0.020)	Loss 4.6380 (4.5312)	Top-1 acc 16.406 (19.061)	Top-5 acc 37.109 (40.488)	lr 0.02232
Warmup Train [22][790/2134]	Time 0.759 (0.643)	Data 0.002 (0.020)	Loss 4.5361 (4.5316)	Top-1 acc 20.703 (19.044)	Top-5 acc 41.797 (40.483)	lr 0.02232
Warmup Train [22][800/2134]	Time 0.509 (0.642)	Data 0.002 (0.020)	Loss 4.4570 (4.5318)	Top-1 acc 17.969 (19.036)	Top-5 acc 40.234 (40.466)	lr 0.02231
Warmup Train [22][810/2134]	Time 0.617 (0.642)	Data 0.002 (0.020)	Loss 4.6007 (4.5318)	Top-1 acc 17.188 (19.048)	Top-5 acc 39.062 (40.477)	lr 0.02230
Warmup Train [22][820/2134]	Time 0.687 (0.642)	Data 0.002 (0.020)	Loss 4.5003 (4.5313)	Top-1 acc 21.484 (19.062)	Top-5 acc 41.797 (40.474)	lr 0.02229
Warmup Train [22][830/2134]	Time 0.673 (0.642)	Data 0.002 (0.020)	Loss 4.6630 (4.5315)	Top-1 acc 16.797 (19.055)	Top-5 acc 33.984 (40.458)	lr 0.02228
Warmup Train [22][840/2134]	Time 0.580 (0.641)	Data 0.002 (0.019)	Loss 4.5554 (4.5315)	Top-1 acc 19.531 (19.060)	Top-5 acc 44.531 (40.472)	lr 0.02227
Warmup Train [22][850/2134]	Time 0.713 (0.640)	Data 0.002 (0.019)	Loss 4.5496 (4.5312)	Top-1 acc 18.359 (19.077)	Top-5 acc 41.016 (40.488)	lr 0.02226
Warmup Train [22][860/2134]	Time 0.413 (0.640)	Data 0.002 (0.019)	Loss 4.5280 (4.5316)	Top-1 acc 17.969 (19.067)	Top-5 acc 38.672 (40.475)	lr 0.02225
Warmup Train [22][870/2134]	Time 0.512 (0.640)	Data 0.005 (0.019)	Loss 4.6656 (4.5317)	Top-1 acc 19.531 (19.077)	Top-5 acc 35.547 (40.470)	lr 0.02224
Warmup Train [22][880/2134]	Time 0.536 (0.639)	Data 0.003 (0.019)	Loss 4.4673 (4.5309)	Top-1 acc 19.922 (19.096)	Top-5 acc 43.359 (40.496)	lr 0.02223
Warmup Train [22][890/2134]	Time 0.588 (0.639)	Data 0.028 (0.019)	Loss 4.5536 (4.5316)	Top-1 acc 12.500 (19.071)	Top-5 acc 42.188 (40.480)	lr 0.02222
Warmup Train [22][900/2134]	Time 0.646 (0.638)	Data 0.002 (0.019)	Loss 4.5556 (4.5320)	Top-1 acc 19.141 (19.057)	Top-5 acc 40.234 (40.475)	lr 0.02221
Warmup Train [22][910/2134]	Time 0.468 (0.638)	Data 0.033 (0.019)	Loss 4.4246 (4.5320)	Top-1 acc 19.141 (19.048)	Top-5 acc 44.141 (40.473)	lr 0.02221
Warmup Train [22][920/2134]	Time 0.616 (0.638)	Data 0.002 (0.018)	Loss 4.4380 (4.5317)	Top-1 acc 21.484 (19.047)	Top-5 acc 40.625 (40.468)	lr 0.02220
Warmup Train [22][930/2134]	Time 0.659 (0.638)	Data 0.003 (0.018)	Loss 4.5688 (4.5319)	Top-1 acc 17.578 (19.038)	Top-5 acc 38.281 (40.468)	lr 0.02219
Warmup Train [22][940/2134]	Time 0.743 (0.638)	Data 0.002 (0.018)	Loss 4.5256 (4.5322)	Top-1 acc 19.531 (19.033)	Top-5 acc 38.672 (40.448)	lr 0.02218
Warmup Train [22][950/2134]	Time 0.625 (0.638)	Data 0.002 (0.018)	Loss 4.4737 (4.5318)	Top-1 acc 21.484 (19.043)	Top-5 acc 42.578 (40.462)	lr 0.02217
Warmup Train [22][960/2134]	Time 0.640 (0.639)	Data 0.002 (0.018)	Loss 4.5628 (4.5322)	Top-1 acc 16.797 (19.041)	Top-5 acc 38.672 (40.452)	lr 0.02216
Warmup Train [22][970/2134]	Time 0.435 (0.639)	Data 0.002 (0.018)	Loss 4.5763 (4.5319)	Top-1 acc 20.703 (19.042)	Top-5 acc 39.453 (40.465)	lr 0.02215
Warmup Train [22][980/2134]	Time 0.470 (0.638)	Data 0.002 (0.018)	Loss 4.4876 (4.5314)	Top-1 acc 21.094 (19.039)	Top-5 acc 42.969 (40.475)	lr 0.02214
Warmup Train [22][990/2134]	Time 0.419 (0.638)	Data 0.002 (0.018)	Loss 4.6550 (4.5315)	Top-1 acc 16.016 (19.027)	Top-5 acc 41.016 (40.474)	lr 0.02213
Warmup Train [22][1000/2134]	Time 0.656 (0.638)	Data 0.002 (0.018)	Loss 4.5343 (4.5314)	Top-1 acc 21.094 (19.034)	Top-5 acc 39.844 (40.478)	lr 0.02212
Warmup Train [22][1010/2134]	Time 0.635 (0.638)	Data 0.002 (0.017)	Loss 4.6903 (4.5316)	Top-1 acc 17.578 (19.034)	Top-5 acc 35.938 (40.483)	lr 0.02211
Warmup Train [22][1020/2134]	Time 0.538 (0.638)	Data 0.002 (0.017)	Loss 4.5207 (4.5316)	Top-1 acc 17.969 (19.033)	Top-5 acc 40.625 (40.470)	lr 0.02210
Warmup Train [22][1030/2134]	Time 0.529 (0.638)	Data 0.002 (0.017)	Loss 4.5973 (4.5313)	Top-1 acc 19.531 (19.043)	Top-5 acc 39.453 (40.483)	lr 0.02210
Warmup Train [22][1040/2134]	Time 0.724 (0.637)	Data 0.003 (0.017)	Loss 4.4466 (4.5310)	Top-1 acc 19.922 (19.042)	Top-5 acc 43.750 (40.495)	lr 0.02209
Warmup Train [22][1050/2134]	Time 0.645 (0.637)	Data 0.002 (0.017)	Loss 4.4416 (4.5309)	Top-1 acc 22.656 (19.045)	Top-5 acc 44.922 (40.505)	lr 0.02208
Warmup Train [22][1060/2134]	Time 0.663 (0.637)	Data 0.003 (0.017)	Loss 4.3893 (4.5307)	Top-1 acc 21.094 (19.049)	Top-5 acc 43.750 (40.511)	lr 0.02207
Warmup Train [22][1070/2134]	Time 0.528 (0.636)	Data 0.002 (0.017)	Loss 4.4200 (4.5309)	Top-1 acc 20.312 (19.049)	Top-5 acc 39.062 (40.505)	lr 0.02206
Warmup Train [22][1080/2134]	Time 0.625 (0.636)	Data 0.002 (0.017)	Loss 4.3747 (4.5309)	Top-1 acc 18.359 (19.056)	Top-5 acc 41.797 (40.504)	lr 0.02205
Warmup Train [22][1090/2134]	Time 0.515 (0.635)	Data 0.004 (0.017)	Loss 4.5104 (4.5309)	Top-1 acc 20.312 (19.054)	Top-5 acc 46.094 (40.504)	lr 0.02204
Warmup Train [22][1100/2134]	Time 0.751 (0.635)	Data 0.003 (0.017)	Loss 4.5982 (4.5309)	Top-1 acc 20.312 (19.062)	Top-5 acc 41.016 (40.511)	lr 0.02203
Warmup Train [22][1110/2134]	Time 0.739 (0.635)	Data 0.002 (0.017)	Loss 4.4341 (4.5308)	Top-1 acc 17.969 (19.051)	Top-5 acc 41.797 (40.509)	lr 0.02202
Warmup Train [22][1120/2134]	Time 0.759 (0.635)	Data 0.002 (0.017)	Loss 4.4690 (4.5309)	Top-1 acc 22.656 (19.051)	Top-5 acc 42.188 (40.514)	lr 0.02201
Warmup Train [22][1130/2134]	Time 0.521 (0.634)	Data 0.002 (0.016)	Loss 4.5082 (4.5313)	Top-1 acc 18.750 (19.036)	Top-5 acc 40.234 (40.497)	lr 0.02200
Warmup Train [22][1140/2134]	Time 0.537 (0.634)	Data 0.002 (0.016)	Loss 4.3784 (4.5307)	Top-1 acc 19.531 (19.048)	Top-5 acc 44.141 (40.507)	lr 0.02200
Warmup Train [22][1150/2134]	Time 0.493 (0.634)	Data 0.002 (0.016)	Loss 4.5352 (4.5303)	Top-1 acc 18.750 (19.055)	Top-5 acc 41.016 (40.513)	lr 0.02199
Warmup Train [22][1160/2134]	Time 0.593 (0.634)	Data 0.002 (0.016)	Loss 4.5343 (4.5304)	Top-1 acc 20.703 (19.047)	Top-5 acc 38.672 (40.506)	lr 0.02198
Warmup Train [22][1170/2134]	Time 0.660 (0.635)	Data 0.002 (0.016)	Loss 4.4351 (4.5300)	Top-1 acc 19.531 (19.048)	Top-5 acc 43.750 (40.518)	lr 0.02197
Warmup Train [22][1180/2134]	Time 0.719 (0.635)	Data 0.002 (0.016)	Loss 4.7389 (4.5299)	Top-1 acc 14.062 (19.045)	Top-5 acc 34.766 (40.521)	lr 0.02196
Warmup Train [22][1190/2134]	Time 0.383 (0.635)	Data 0.002 (0.016)	Loss 4.5361 (4.5303)	Top-1 acc 19.141 (19.040)	Top-5 acc 38.672 (40.507)	lr 0.02195
Warmup Train [22][1200/2134]	Time 0.444 (0.635)	Data 0.002 (0.016)	Loss 4.4230 (4.5301)	Top-1 acc 22.266 (19.049)	Top-5 acc 44.922 (40.511)	lr 0.02194
Warmup Train [22][1210/2134]	Time 0.425 (0.635)	Data 0.003 (0.016)	Loss 4.6537 (4.5302)	Top-1 acc 20.703 (19.045)	Top-5 acc 39.453 (40.509)	lr 0.02193
Warmup Train [22][1220/2134]	Time 0.519 (0.634)	Data 0.002 (0.016)	Loss 4.5357 (4.5304)	Top-1 acc 15.625 (19.043)	Top-5 acc 41.016 (40.502)	lr 0.02192
Warmup Train [22][1230/2134]	Time 0.586 (0.634)	Data 0.003 (0.016)	Loss 4.5530 (4.5302)	Top-1 acc 15.625 (19.047)	Top-5 acc 41.016 (40.507)	lr 0.02191
Warmup Train [22][1240/2134]	Time 0.792 (0.634)	Data 0.002 (0.016)	Loss 4.5726 (4.5299)	Top-1 acc 20.703 (19.062)	Top-5 acc 37.500 (40.519)	lr 0.02190
Warmup Train [22][1250/2134]	Time 0.729 (0.634)	Data 0.003 (0.016)	Loss 4.3398 (4.5295)	Top-1 acc 21.484 (19.062)	Top-5 acc 42.188 (40.529)	lr 0.02189
Warmup Train [22][1260/2134]	Time 0.675 (0.633)	Data 0.002 (0.016)	Loss 4.6956 (4.5293)	Top-1 acc 17.969 (19.068)	Top-5 acc 34.375 (40.530)	lr 0.02189
Warmup Train [22][1270/2134]	Time 0.443 (0.633)	Data 0.002 (0.016)	Loss 4.6753 (4.5296)	Top-1 acc 17.578 (19.066)	Top-5 acc 38.672 (40.526)	lr 0.02188
Warmup Train [22][1280/2134]	Time 0.624 (0.633)	Data 0.002 (0.016)	Loss 4.4637 (4.5296)	Top-1 acc 19.531 (19.070)	Top-5 acc 41.016 (40.525)	lr 0.02187
Warmup Train [22][1290/2134]	Time 0.562 (0.633)	Data 0.002 (0.016)	Loss 4.6208 (4.5290)	Top-1 acc 16.016 (19.074)	Top-5 acc 37.109 (40.533)	lr 0.02186
Warmup Train [22][1300/2134]	Time 0.685 (0.632)	Data 0.002 (0.016)	Loss 4.4972 (4.5292)	Top-1 acc 19.531 (19.071)	Top-5 acc 37.500 (40.521)	lr 0.02185
Warmup Train [22][1310/2134]	Time 0.499 (0.632)	Data 0.002 (0.015)	Loss 4.5278 (4.5291)	Top-1 acc 19.141 (19.074)	Top-5 acc 40.625 (40.520)	lr 0.02184
Warmup Train [22][1320/2134]	Time 0.472 (0.632)	Data 0.002 (0.015)	Loss 4.6660 (4.5291)	Top-1 acc 18.359 (19.078)	Top-5 acc 39.453 (40.518)	lr 0.02183
Warmup Train [22][1330/2134]	Time 0.566 (0.632)	Data 0.002 (0.015)	Loss 4.5880 (4.5288)	Top-1 acc 16.797 (19.087)	Top-5 acc 38.672 (40.528)	lr 0.02182
Warmup Train [22][1340/2134]	Time 0.656 (0.631)	Data 0.002 (0.015)	Loss 4.4479 (4.5287)	Top-1 acc 19.922 (19.086)	Top-5 acc 42.188 (40.526)	lr 0.02181
Warmup Train [22][1350/2134]	Time 0.598 (0.631)	Data 0.002 (0.015)	Loss 4.5062 (4.5284)	Top-1 acc 22.266 (19.090)	Top-5 acc 41.797 (40.534)	lr 0.02180
Warmup Train [22][1360/2134]	Time 0.594 (0.631)	Data 0.002 (0.015)	Loss 4.4672 (4.5284)	Top-1 acc 19.531 (19.092)	Top-5 acc 42.188 (40.537)	lr 0.02179
Warmup Train [22][1370/2134]	Time 0.614 (0.631)	Data 0.002 (0.015)	Loss 4.5553 (4.5285)	Top-1 acc 18.750 (19.089)	Top-5 acc 41.797 (40.538)	lr 0.02179
Warmup Train [22][1380/2134]	Time 0.715 (0.632)	Data 0.002 (0.015)	Loss 4.5117 (4.5284)	Top-1 acc 17.188 (19.088)	Top-5 acc 42.578 (40.542)	lr 0.02178
Warmup Train [22][1390/2134]	Time 0.592 (0.632)	Data 0.002 (0.015)	Loss 4.5539 (4.5284)	Top-1 acc 20.312 (19.092)	Top-5 acc 39.453 (40.539)	lr 0.02177
Warmup Train [22][1400/2134]	Time 0.501 (0.632)	Data 0.002 (0.015)	Loss 4.6524 (4.5286)	Top-1 acc 17.969 (19.090)	Top-5 acc 39.062 (40.533)	lr 0.02176
Warmup Train [22][1410/2134]	Time 0.517 (0.632)	Data 0.002 (0.015)	Loss 4.4152 (4.5284)	Top-1 acc 20.703 (19.095)	Top-5 acc 43.750 (40.534)	lr 0.02175
Warmup Train [22][1420/2134]	Time 0.623 (0.631)	Data 0.002 (0.015)	Loss 4.4966 (4.5285)	Top-1 acc 21.484 (19.094)	Top-5 acc 38.672 (40.531)	lr 0.02174
Warmup Train [22][1430/2134]	Time 0.454 (0.631)	Data 0.002 (0.015)	Loss 4.5039 (4.5286)	Top-1 acc 20.703 (19.087)	Top-5 acc 39.844 (40.530)	lr 0.02173
Warmup Train [22][1440/2134]	Time 0.497 (0.631)	Data 0.004 (0.015)	Loss 4.4359 (4.5282)	Top-1 acc 21.875 (19.086)	Top-5 acc 44.922 (40.533)	lr 0.02172
Warmup Train [22][1450/2134]	Time 0.628 (0.631)	Data 0.002 (0.015)	Loss 4.5762 (4.5282)	Top-1 acc 20.312 (19.087)	Top-5 acc 35.938 (40.532)	lr 0.02171
Warmup Train [22][1460/2134]	Time 0.522 (0.630)	Data 0.002 (0.015)	Loss 4.6128 (4.5283)	Top-1 acc 17.578 (19.082)	Top-5 acc 37.500 (40.529)	lr 0.02170
Warmup Train [22][1470/2134]	Time 0.624 (0.630)	Data 0.002 (0.015)	Loss 4.5474 (4.5280)	Top-1 acc 19.141 (19.087)	Top-5 acc 38.281 (40.534)	lr 0.02169
Warmup Train [22][1480/2134]	Time 0.572 (0.630)	Data 0.002 (0.015)	Loss 4.4078 (4.5279)	Top-1 acc 19.922 (19.087)	Top-5 acc 44.531 (40.536)	lr 0.02169
Warmup Train [22][1490/2134]	Time 0.527 (0.630)	Data 0.002 (0.014)	Loss 4.5028 (4.5275)	Top-1 acc 19.141 (19.090)	Top-5 acc 42.188 (40.542)	lr 0.02168
Warmup Train [22][1500/2134]	Time 0.437 (0.630)	Data 0.002 (0.014)	Loss 4.5644 (4.5275)	Top-1 acc 14.453 (19.100)	Top-5 acc 38.281 (40.539)	lr 0.02167
Warmup Train [22][1510/2134]	Time 0.743 (0.629)	Data 0.030 (0.014)	Loss 4.4725 (4.5276)	Top-1 acc 21.094 (19.100)	Top-5 acc 40.625 (40.539)	lr 0.02166
Warmup Train [22][1520/2134]	Time 0.745 (0.629)	Data 0.002 (0.014)	Loss 4.4356 (4.5275)	Top-1 acc 19.922 (19.107)	Top-5 acc 43.750 (40.543)	lr 0.02165
Warmup Train [22][1530/2134]	Time 0.718 (0.629)	Data 0.002 (0.014)	Loss 4.5620 (4.5278)	Top-1 acc 20.312 (19.109)	Top-5 acc 38.672 (40.536)	lr 0.02164
Warmup Train [22][1540/2134]	Time 0.564 (0.629)	Data 0.002 (0.014)	Loss 4.6241 (4.5274)	Top-1 acc 15.625 (19.112)	Top-5 acc 38.281 (40.553)	lr 0.02163
Warmup Train [22][1550/2134]	Time 0.582 (0.629)	Data 0.004 (0.014)	Loss 4.5476 (4.5274)	Top-1 acc 18.750 (19.117)	Top-5 acc 40.625 (40.553)	lr 0.02162
Warmup Train [22][1560/2134]	Time 0.455 (0.629)	Data 0.002 (0.014)	Loss 4.5344 (4.5274)	Top-1 acc 20.312 (19.111)	Top-5 acc 39.453 (40.544)	lr 0.02161
Warmup Train [22][1570/2134]	Time 0.560 (0.629)	Data 0.002 (0.014)	Loss 4.4362 (4.5271)	Top-1 acc 19.141 (19.118)	Top-5 acc 44.922 (40.554)	lr 0.02160
Warmup Train [22][1580/2134]	Time 0.636 (0.628)	Data 0.002 (0.014)	Loss 4.6085 (4.5270)	Top-1 acc 17.969 (19.123)	Top-5 acc 34.766 (40.557)	lr 0.02159
Warmup Train [22][1590/2134]	Time 0.572 (0.630)	Data 0.002 (0.014)	Loss 4.5284 (4.5268)	Top-1 acc 17.969 (19.125)	Top-5 acc 36.719 (40.557)	lr 0.02158
Warmup Train [22][1600/2134]	Time 0.588 (0.629)	Data 0.002 (0.014)	Loss 4.6424 (4.5264)	Top-1 acc 21.094 (19.139)	Top-5 acc 37.891 (40.567)	lr 0.02158
Warmup Train [22][1610/2134]	Time 0.577 (0.629)	Data 0.002 (0.014)	Loss 4.4754 (4.5266)	Top-1 acc 19.922 (19.133)	Top-5 acc 39.453 (40.561)	lr 0.02157
Warmup Train [22][1620/2134]	Time 0.403 (0.629)	Data 0.002 (0.014)	Loss 4.5050 (4.5264)	Top-1 acc 19.141 (19.138)	Top-5 acc 41.406 (40.568)	lr 0.02156
Warmup Train [22][1630/2134]	Time 0.601 (0.629)	Data 0.002 (0.014)	Loss 4.5858 (4.5264)	Top-1 acc 20.312 (19.141)	Top-5 acc 37.109 (40.568)	lr 0.02155
Warmup Train [22][1640/2134]	Time 0.577 (0.629)	Data 0.002 (0.014)	Loss 4.4450 (4.5264)	Top-1 acc 26.172 (19.141)	Top-5 acc 44.922 (40.571)	lr 0.02154
Warmup Train [22][1650/2134]	Time 0.638 (0.629)	Data 0.002 (0.014)	Loss 4.7177 (4.5264)	Top-1 acc 14.453 (19.144)	Top-5 acc 35.547 (40.572)	lr 0.02153
Warmup Train [22][1660/2134]	Time 0.462 (0.628)	Data 0.002 (0.014)	Loss 4.5025 (4.5263)	Top-1 acc 17.188 (19.148)	Top-5 acc 40.625 (40.578)	lr 0.02152
Warmup Train [22][1670/2134]	Time 0.645 (0.628)	Data 0.002 (0.014)	Loss 4.6073 (4.5265)	Top-1 acc 18.750 (19.143)	Top-5 acc 35.547 (40.570)	lr 0.02151
Warmup Train [22][1680/2134]	Time 0.781 (0.628)	Data 0.002 (0.014)	Loss 4.4527 (4.5261)	Top-1 acc 19.531 (19.148)	Top-5 acc 43.359 (40.579)	lr 0.02150
Warmup Train [22][1690/2134]	Time 0.626 (0.628)	Data 0.002 (0.014)	Loss 4.6299 (4.5262)	Top-1 acc 17.578 (19.149)	Top-5 acc 43.750 (40.580)	lr 0.02149
Warmup Train [22][1700/2134]	Time 0.608 (0.628)	Data 0.002 (0.014)	Loss 4.4603 (4.5261)	Top-1 acc 21.484 (19.151)	Top-5 acc 41.797 (40.586)	lr 0.02148
Warmup Train [22][1710/2134]	Time 0.461 (0.628)	Data 0.002 (0.014)	Loss 4.5621 (4.5262)	Top-1 acc 18.750 (19.150)	Top-5 acc 41.016 (40.585)	lr 0.02148
Warmup Train [22][1720/2134]	Time 0.439 (0.628)	Data 0.003 (0.014)	Loss 4.6589 (4.5262)	Top-1 acc 21.875 (19.152)	Top-5 acc 38.672 (40.584)	lr 0.02147
Warmup Train [22][1730/2134]	Time 0.713 (0.628)	Data 0.002 (0.014)	Loss 4.4580 (4.5260)	Top-1 acc 18.750 (19.153)	Top-5 acc 42.188 (40.590)	lr 0.02146
Warmup Train [22][1740/2134]	Time 0.634 (0.627)	Data 0.003 (0.014)	Loss 4.4957 (4.5258)	Top-1 acc 21.875 (19.163)	Top-5 acc 42.969 (40.595)	lr 0.02145
Warmup Train [22][1750/2134]	Time 0.601 (0.627)	Data 0.002 (0.014)	Loss 4.3328 (4.5255)	Top-1 acc 22.656 (19.158)	Top-5 acc 44.531 (40.600)	lr 0.02144
Warmup Train [22][1760/2134]	Time 0.489 (0.627)	Data 0.002 (0.014)	Loss 4.3670 (4.5253)	Top-1 acc 19.531 (19.160)	Top-5 acc 47.266 (40.603)	lr 0.02143
Warmup Train [22][1770/2134]	Time 0.771 (0.627)	Data 0.003 (0.014)	Loss 4.5642 (4.5253)	Top-1 acc 23.438 (19.168)	Top-5 acc 41.797 (40.604)	lr 0.02142
Warmup Train [22][1780/2134]	Time 0.727 (0.627)	Data 0.002 (0.014)	Loss 4.5029 (4.5254)	Top-1 acc 17.188 (19.169)	Top-5 acc 42.578 (40.602)	lr 0.02141
Warmup Train [22][1790/2134]	Time 0.667 (0.627)	Data 0.002 (0.013)	Loss 4.3067 (4.5255)	Top-1 acc 20.703 (19.163)	Top-5 acc 44.531 (40.598)	lr 0.02140
Warmup Train [22][1800/2134]	Time 0.657 (0.627)	Data 0.004 (0.013)	Loss 4.5870 (4.5252)	Top-1 acc 20.703 (19.172)	Top-5 acc 40.234 (40.610)	lr 0.02139
Warmup Train [22][1810/2134]	Time 0.622 (0.628)	Data 0.002 (0.013)	Loss 4.5592 (4.5253)	Top-1 acc 17.969 (19.175)	Top-5 acc 39.453 (40.615)	lr 0.02138
Warmup Train [22][1820/2134]	Time 0.720 (0.628)	Data 0.002 (0.013)	Loss 4.6074 (4.5252)	Top-1 acc 19.141 (19.176)	Top-5 acc 39.844 (40.620)	lr 0.02138
Warmup Train [22][1830/2134]	Time 0.682 (0.628)	Data 0.004 (0.013)	Loss 4.4526 (4.5254)	Top-1 acc 18.359 (19.181)	Top-5 acc 39.062 (40.613)	lr 0.02137
Warmup Train [22][1840/2134]	Time 0.539 (0.628)	Data 0.002 (0.013)	Loss 4.3828 (4.5252)	Top-1 acc 24.219 (19.188)	Top-5 acc 47.656 (40.618)	lr 0.02136
Warmup Train [22][1850/2134]	Time 0.652 (0.628)	Data 0.002 (0.013)	Loss 4.3255 (4.5252)	Top-1 acc 21.094 (19.186)	Top-5 acc 49.219 (40.618)	lr 0.02135
Warmup Train [22][1860/2134]	Time 0.575 (0.627)	Data 0.002 (0.013)	Loss 4.4553 (4.5250)	Top-1 acc 19.141 (19.187)	Top-5 acc 41.406 (40.621)	lr 0.02134
Warmup Train [22][1870/2134]	Time 0.718 (0.627)	Data 0.002 (0.013)	Loss 4.7139 (4.5253)	Top-1 acc 17.969 (19.184)	Top-5 acc 35.547 (40.612)	lr 0.02133
Warmup Train [22][1880/2134]	Time 0.509 (0.627)	Data 0.002 (0.013)	Loss 4.5871 (4.5253)	Top-1 acc 20.703 (19.184)	Top-5 acc 41.016 (40.612)	lr 0.02132
Warmup Train [22][1890/2134]	Time 0.797 (0.627)	Data 0.002 (0.013)	Loss 4.4861 (4.5254)	Top-1 acc 17.188 (19.186)	Top-5 acc 44.141 (40.615)	lr 0.02131
Warmup Train [22][1900/2134]	Time 0.743 (0.627)	Data 0.003 (0.013)	Loss 4.5277 (4.5256)	Top-1 acc 21.094 (19.182)	Top-5 acc 40.234 (40.614)	lr 0.02130
Warmup Train [22][1910/2134]	Time 0.601 (0.627)	Data 0.002 (0.013)	Loss 4.5412 (4.5256)	Top-1 acc 21.094 (19.181)	Top-5 acc 37.891 (40.613)	lr 0.02129
Warmup Train [22][1920/2134]	Time 0.494 (0.627)	Data 0.002 (0.013)	Loss 4.5289 (4.5256)	Top-1 acc 17.969 (19.182)	Top-5 acc 43.750 (40.614)	lr 0.02128
Warmup Train [22][1930/2134]	Time 0.400 (0.627)	Data 0.002 (0.013)	Loss 4.6522 (4.5256)	Top-1 acc 17.578 (19.180)	Top-5 acc 41.406 (40.611)	lr 0.02128
Warmup Train [22][1940/2134]	Time 0.643 (0.627)	Data 0.002 (0.013)	Loss 4.5576 (4.5255)	Top-1 acc 15.625 (19.176)	Top-5 acc 39.062 (40.615)	lr 0.02127
Warmup Train [22][1950/2134]	Time 0.655 (0.627)	Data 0.002 (0.013)	Loss 4.4423 (4.5255)	Top-1 acc 22.266 (19.176)	Top-5 acc 43.750 (40.611)	lr 0.02126
Warmup Train [22][1960/2134]	Time 0.592 (0.626)	Data 0.002 (0.013)	Loss 4.3751 (4.5252)	Top-1 acc 18.359 (19.184)	Top-5 acc 45.312 (40.619)	lr 0.02125
Warmup Train [22][1970/2134]	Time 0.600 (0.626)	Data 0.002 (0.013)	Loss 4.6450 (4.5249)	Top-1 acc 17.969 (19.189)	Top-5 acc 35.156 (40.618)	lr 0.02124
Warmup Train [22][1980/2134]	Time 0.420 (0.626)	Data 0.002 (0.013)	Loss 4.5790 (4.5251)	Top-1 acc 19.922 (19.189)	Top-5 acc 36.328 (40.617)	lr 0.02123
Warmup Train [22][1990/2134]	Time 0.602 (0.626)	Data 0.003 (0.013)	Loss 4.6852 (4.5249)	Top-1 acc 15.234 (19.189)	Top-5 acc 39.062 (40.618)	lr 0.02122
Warmup Train [22][2000/2134]	Time 0.713 (0.626)	Data 0.002 (0.013)	Loss 4.4976 (4.5247)	Top-1 acc 17.969 (19.194)	Top-5 acc 44.922 (40.627)	lr 0.02121
Warmup Train [22][2010/2134]	Time 0.615 (0.626)	Data 0.002 (0.013)	Loss 4.3962 (4.5244)	Top-1 acc 19.531 (19.201)	Top-5 acc 42.578 (40.642)	lr 0.02120
Warmup Train [22][2020/2134]	Time 0.561 (0.627)	Data 0.002 (0.013)	Loss 4.3789 (4.5241)	Top-1 acc 21.875 (19.206)	Top-5 acc 45.312 (40.650)	lr 0.02119
Warmup Train [22][2030/2134]	Time 0.503 (0.627)	Data 0.002 (0.013)	Loss 4.5706 (4.5240)	Top-1 acc 16.406 (19.208)	Top-5 acc 36.719 (40.651)	lr 0.02118
Warmup Train [22][2040/2134]	Time 0.664 (0.627)	Data 0.002 (0.013)	Loss 4.5133 (4.5237)	Top-1 acc 19.922 (19.214)	Top-5 acc 40.625 (40.661)	lr 0.02118
Warmup Train [22][2050/2134]	Time 0.696 (0.627)	Data 0.002 (0.013)	Loss 4.8489 (4.5241)	Top-1 acc 11.328 (19.203)	Top-5 acc 35.938 (40.655)	lr 0.02117
Warmup Train [22][2060/2134]	Time 0.387 (0.626)	Data 0.002 (0.013)	Loss 4.4967 (4.5242)	Top-1 acc 23.047 (19.198)	Top-5 acc 43.750 (40.655)	lr 0.02116
Warmup Train [22][2070/2134]	Time 0.621 (0.626)	Data 0.002 (0.013)	Loss 4.3810 (4.5243)	Top-1 acc 22.656 (19.199)	Top-5 acc 42.969 (40.654)	lr 0.02115
Warmup Train [22][2080/2134]	Time 0.613 (0.626)	Data 0.000 (0.013)	Loss 4.4213 (4.5241)	Top-1 acc 24.609 (19.208)	Top-5 acc 45.703 (40.665)	lr 0.02114
Warmup Train [22][2090/2134]	Time 0.481 (0.626)	Data 0.000 (0.013)	Loss 4.4851 (4.5238)	Top-1 acc 23.828 (19.213)	Top-5 acc 40.625 (40.674)	lr 0.02113
Warmup Train [22][2100/2134]	Time 0.611 (0.626)	Data 0.000 (0.013)	Loss 4.5939 (4.5236)	Top-1 acc 19.531 (19.215)	Top-5 acc 38.281 (40.679)	lr 0.02112
Warmup Train [22][2110/2134]	Time 0.469 (0.626)	Data 0.000 (0.013)	Loss 4.6459 (4.5236)	Top-1 acc 19.531 (19.218)	Top-5 acc 36.719 (40.682)	lr 0.02111
Warmup Train [22][2120/2134]	Time 0.444 (0.625)	Data 0.000 (0.013)	Loss 4.4851 (4.5236)	Top-1 acc 19.141 (19.220)	Top-5 acc 41.406 (40.684)	lr 0.02110
Warmup Train [22][2130/2134]	Time 0.585 (0.625)	Data 0.000 (0.013)	Loss 4.4181 (4.5235)	Top-1 acc 22.656 (19.226)	Top-5 acc 45.312 (40.692)	lr 0.02109
Warmup Train [22][2134/2134]	Time 0.603 (0.625)	Data 0.000 (0.013)	Loss 4.4980 (4.5235)	Top-1 acc 19.251 (19.226)	Top-5 acc 43.850 (40.692)	lr 0.02109
==========Warmup Valid [22/40]	loss 3.581	top-1 acc 26.086	top-5 acc 50.550	Train top-1 19.226	top-5 40.692	flops: 442.4M
Warmup Train [23][0/2134]	Time 11.641 (11.641)	Data 9.236 (9.236)	Loss 4.5351 (4.5351)	Top-1 acc 19.531 (19.531)	Top-5 acc 41.797 (41.797)	lr 0.02109
Warmup Train [23][10/2134]	Time 0.720 (1.787)	Data 0.002 (0.870)	Loss 4.3661 (4.5294)	Top-1 acc 21.094 (18.359)	Top-5 acc 42.188 (40.483)	lr 0.02108
Warmup Train [23][20/2134]	Time 0.706 (1.218)	Data 0.002 (0.457)	Loss 4.4527 (4.4989)	Top-1 acc 19.141 (19.289)	Top-5 acc 39.062 (40.588)	lr 0.02107
Warmup Train [23][30/2134]	Time 0.728 (1.026)	Data 0.002 (0.311)	Loss 4.4093 (4.5026)	Top-1 acc 17.578 (19.153)	Top-5 acc 42.969 (40.675)	lr 0.02106
Warmup Train [23][40/2134]	Time 0.693 (0.921)	Data 0.002 (0.236)	Loss 4.6240 (4.4918)	Top-1 acc 18.750 (19.436)	Top-5 acc 40.234 (40.930)	lr 0.02105
Warmup Train [23][50/2134]	Time 0.545 (0.858)	Data 0.003 (0.190)	Loss 4.4643 (4.4970)	Top-1 acc 21.875 (19.485)	Top-5 acc 42.969 (40.924)	lr 0.02104
Warmup Train [23][60/2134]	Time 0.617 (0.823)	Data 0.002 (0.161)	Loss 4.5084 (4.4987)	Top-1 acc 19.141 (19.570)	Top-5 acc 44.531 (41.099)	lr 0.02103
Warmup Train [23][70/2134]	Time 0.708 (0.826)	Data 0.002 (0.139)	Loss 4.7437 (4.4980)	Top-1 acc 14.844 (19.652)	Top-5 acc 39.062 (41.225)	lr 0.02103
Warmup Train [23][80/2134]	Time 0.560 (0.798)	Data 0.002 (0.122)	Loss 4.6346 (4.5036)	Top-1 acc 16.406 (19.604)	Top-5 acc 39.453 (41.131)	lr 0.02102
Warmup Train [23][90/2134]	Time 0.584 (0.780)	Data 0.003 (0.111)	Loss 4.3431 (4.4968)	Top-1 acc 21.484 (19.767)	Top-5 acc 42.969 (41.235)	lr 0.02101
Warmup Train [23][100/2134]	Time 0.511 (0.761)	Data 0.037 (0.100)	Loss 4.5566 (4.4988)	Top-1 acc 22.656 (19.721)	Top-5 acc 39.062 (41.248)	lr 0.02100
Warmup Train [23][110/2134]	Time 0.453 (0.748)	Data 0.002 (0.093)	Loss 4.4270 (4.4955)	Top-1 acc 22.266 (19.725)	Top-5 acc 43.750 (41.364)	lr 0.02099
Warmup Train [23][120/2134]	Time 0.556 (0.736)	Data 0.002 (0.086)	Loss 4.6888 (4.4997)	Top-1 acc 17.578 (19.660)	Top-5 acc 32.422 (41.154)	lr 0.02098
Warmup Train [23][130/2134]	Time 0.545 (0.727)	Data 0.002 (0.081)	Loss 4.6869 (4.4977)	Top-1 acc 15.625 (19.716)	Top-5 acc 33.984 (41.206)	lr 0.02097
Warmup Train [23][140/2134]	Time 0.496 (0.720)	Data 0.003 (0.076)	Loss 4.5226 (4.4974)	Top-1 acc 21.875 (19.753)	Top-5 acc 41.797 (41.276)	lr 0.02096
Warmup Train [23][150/2134]	Time 0.755 (0.713)	Data 0.002 (0.073)	Loss 4.5274 (4.4988)	Top-1 acc 19.922 (19.699)	Top-5 acc 45.703 (41.298)	lr 0.02095
Warmup Train [23][160/2134]	Time 0.643 (0.707)	Data 0.002 (0.068)	Loss 4.5570 (4.4975)	Top-1 acc 20.312 (19.701)	Top-5 acc 35.547 (41.275)	lr 0.02094
Warmup Train [23][170/2134]	Time 0.691 (0.704)	Data 0.002 (0.065)	Loss 4.6053 (4.4980)	Top-1 acc 19.922 (19.664)	Top-5 acc 38.672 (41.287)	lr 0.02093
Warmup Train [23][180/2134]	Time 0.664 (0.696)	Data 0.002 (0.061)	Loss 4.5817 (4.5009)	Top-1 acc 13.672 (19.574)	Top-5 acc 39.062 (41.184)	lr 0.02093
Warmup Train [23][190/2134]	Time 0.612 (0.692)	Data 0.002 (0.058)	Loss 4.4023 (4.5017)	Top-1 acc 19.922 (19.529)	Top-5 acc 44.531 (41.177)	lr 0.02092
Warmup Train [23][200/2134]	Time 0.597 (0.688)	Data 0.002 (0.056)	Loss 4.3522 (4.5030)	Top-1 acc 22.656 (19.488)	Top-5 acc 43.750 (41.130)	lr 0.02091
Warmup Train [23][210/2134]	Time 0.568 (0.682)	Data 0.004 (0.053)	Loss 4.6189 (4.5059)	Top-1 acc 15.625 (19.411)	Top-5 acc 38.281 (41.064)	lr 0.02090
Warmup Train [23][220/2134]	Time 0.560 (0.678)	Data 0.002 (0.051)	Loss 4.7347 (4.5081)	Top-1 acc 12.500 (19.317)	Top-5 acc 36.328 (40.961)	lr 0.02089
Warmup Train [23][230/2134]	Time 0.444 (0.675)	Data 0.003 (0.050)	Loss 4.6071 (4.5054)	Top-1 acc 19.922 (19.384)	Top-5 acc 36.719 (41.046)	lr 0.02088
Warmup Train [23][240/2134]	Time 0.507 (0.673)	Data 0.002 (0.049)	Loss 4.4804 (4.5035)	Top-1 acc 21.094 (19.342)	Top-5 acc 38.281 (41.102)	lr 0.02087
Warmup Train [23][250/2134]	Time 0.808 (0.672)	Data 0.002 (0.047)	Loss 4.2040 (4.5035)	Top-1 acc 26.562 (19.387)	Top-5 acc 48.828 (41.089)	lr 0.02086
Warmup Train [23][260/2134]	Time 0.634 (0.670)	Data 0.002 (0.046)	Loss 4.5706 (4.5027)	Top-1 acc 19.531 (19.416)	Top-5 acc 41.016 (41.131)	lr 0.02085
Warmup Train [23][270/2134]	Time 0.426 (0.668)	Data 0.002 (0.044)	Loss 4.4941 (4.5033)	Top-1 acc 19.141 (19.438)	Top-5 acc 42.969 (41.140)	lr 0.02084
Warmup Train [23][280/2134]	Time 0.610 (0.674)	Data 0.002 (0.043)	Loss 4.5880 (4.5031)	Top-1 acc 19.922 (19.478)	Top-5 acc 38.281 (41.114)	lr 0.02084
Warmup Train [23][290/2134]	Time 0.680 (0.673)	Data 0.002 (0.042)	Loss 4.4050 (4.5032)	Top-1 acc 20.312 (19.449)	Top-5 acc 41.406 (41.104)	lr 0.02083
Warmup Train [23][300/2134]	Time 0.495 (0.670)	Data 0.003 (0.040)	Loss 4.4004 (4.5029)	Top-1 acc 18.359 (19.470)	Top-5 acc 45.703 (41.151)	lr 0.02082
Warmup Train [23][310/2134]	Time 0.614 (0.668)	Data 0.002 (0.040)	Loss 4.4744 (4.5039)	Top-1 acc 19.531 (19.497)	Top-5 acc 42.969 (41.149)	lr 0.02081
Warmup Train [23][320/2134]	Time 0.597 (0.667)	Data 0.004 (0.038)	Loss 4.4070 (4.5033)	Top-1 acc 22.656 (19.487)	Top-5 acc 44.922 (41.139)	lr 0.02080
Warmup Train [23][330/2134]	Time 0.603 (0.665)	Data 0.002 (0.037)	Loss 4.3933 (4.5017)	Top-1 acc 22.656 (19.515)	Top-5 acc 44.531 (41.173)	lr 0.02079
Warmup Train [23][340/2134]	Time 0.712 (0.664)	Data 0.003 (0.037)	Loss 4.6047 (4.5010)	Top-1 acc 21.875 (19.509)	Top-5 acc 37.500 (41.199)	lr 0.02078
Warmup Train [23][350/2134]	Time 0.615 (0.663)	Data 0.003 (0.036)	Loss 4.5871 (4.5012)	Top-1 acc 16.406 (19.483)	Top-5 acc 35.156 (41.165)	lr 0.02077
Warmup Train [23][360/2134]	Time 0.632 (0.661)	Data 0.003 (0.035)	Loss 4.5974 (4.5016)	Top-1 acc 17.188 (19.452)	Top-5 acc 38.281 (41.177)	lr 0.02076
Warmup Train [23][370/2134]	Time 0.662 (0.660)	Data 0.002 (0.034)	Loss 4.4567 (4.5008)	Top-1 acc 22.266 (19.470)	Top-5 acc 41.016 (41.185)	lr 0.02075
Warmup Train [23][380/2134]	Time 0.611 (0.658)	Data 0.002 (0.033)	Loss 4.5757 (4.5000)	Top-1 acc 19.141 (19.479)	Top-5 acc 40.234 (41.233)	lr 0.02074
Warmup Train [23][390/2134]	Time 0.519 (0.657)	Data 0.002 (0.032)	Loss 4.5664 (4.4986)	Top-1 acc 18.359 (19.506)	Top-5 acc 37.891 (41.268)	lr 0.02074
Warmup Train [23][400/2134]	Time 0.675 (0.656)	Data 0.002 (0.032)	Loss 4.6169 (4.4982)	Top-1 acc 17.188 (19.531)	Top-5 acc 33.203 (41.271)	lr 0.02073
Warmup Train [23][410/2134]	Time 0.688 (0.655)	Data 0.002 (0.031)	Loss 4.3914 (4.4977)	Top-1 acc 21.094 (19.537)	Top-5 acc 45.703 (41.286)	lr 0.02072
Warmup Train [23][420/2134]	Time 0.527 (0.654)	Data 0.004 (0.031)	Loss 4.4409 (4.4973)	Top-1 acc 20.312 (19.538)	Top-5 acc 40.625 (41.313)	lr 0.02071
Warmup Train [23][430/2134]	Time 0.738 (0.653)	Data 0.002 (0.030)	Loss 4.6244 (4.4978)	Top-1 acc 19.531 (19.534)	Top-5 acc 38.281 (41.279)	lr 0.02070
Warmup Train [23][440/2134]	Time 0.670 (0.652)	Data 0.002 (0.030)	Loss 4.4746 (4.4985)	Top-1 acc 20.703 (19.529)	Top-5 acc 44.531 (41.272)	lr 0.02069
Warmup Train [23][450/2134]	Time 0.616 (0.652)	Data 0.002 (0.029)	Loss 4.5861 (4.4991)	Top-1 acc 19.922 (19.540)	Top-5 acc 40.625 (41.265)	lr 0.02068
Warmup Train [23][460/2134]	Time 0.666 (0.651)	Data 0.002 (0.029)	Loss 4.6799 (4.4996)	Top-1 acc 17.188 (19.549)	Top-5 acc 39.062 (41.276)	lr 0.02067
Warmup Train [23][470/2134]	Time 0.614 (0.650)	Data 0.002 (0.028)	Loss 4.4679 (4.4996)	Top-1 acc 22.656 (19.560)	Top-5 acc 42.188 (41.275)	lr 0.02066
Warmup Train [23][480/2134]	Time 0.632 (0.650)	Data 0.002 (0.027)	Loss 4.5377 (4.4999)	Top-1 acc 22.266 (19.559)	Top-5 acc 42.969 (41.263)	lr 0.02065
Warmup Train [23][490/2134]	Time 0.599 (0.649)	Data 0.003 (0.027)	Loss 4.4477 (4.4994)	Top-1 acc 20.312 (19.573)	Top-5 acc 43.750 (41.269)	lr 0.02064
Warmup Train [23][500/2134]	Time 0.756 (0.652)	Data 0.002 (0.027)	Loss 4.3907 (4.4989)	Top-1 acc 18.750 (19.596)	Top-5 acc 45.703 (41.306)	lr 0.02064
Warmup Train [23][510/2134]	Time 0.772 (0.651)	Data 0.002 (0.026)	Loss 4.4603 (4.4978)	Top-1 acc 19.922 (19.620)	Top-5 acc 40.625 (41.338)	lr 0.02063
Warmup Train [23][520/2134]	Time 0.675 (0.650)	Data 0.002 (0.026)	Loss 4.4787 (4.4979)	Top-1 acc 19.922 (19.618)	Top-5 acc 42.188 (41.342)	lr 0.02062
Warmup Train [23][530/2134]	Time 0.607 (0.650)	Data 0.002 (0.026)	Loss 4.4668 (4.4978)	Top-1 acc 18.359 (19.602)	Top-5 acc 40.234 (41.325)	lr 0.02061
Warmup Train [23][540/2134]	Time 0.449 (0.649)	Data 0.003 (0.025)	Loss 4.4397 (4.4977)	Top-1 acc 17.969 (19.598)	Top-5 acc 40.234 (41.328)	lr 0.02060
Warmup Train [23][550/2134]	Time 0.653 (0.649)	Data 0.002 (0.025)	Loss 4.4649 (4.4988)	Top-1 acc 16.406 (19.582)	Top-5 acc 42.188 (41.303)	lr 0.02059
Warmup Train [23][560/2134]	Time 0.465 (0.648)	Data 0.002 (0.025)	Loss 4.4045 (4.4986)	Top-1 acc 19.141 (19.578)	Top-5 acc 42.969 (41.330)	lr 0.02058
Warmup Train [23][570/2134]	Time 0.617 (0.647)	Data 0.002 (0.024)	Loss 4.3576 (4.4990)	Top-1 acc 20.312 (19.569)	Top-5 acc 44.141 (41.317)	lr 0.02057
Warmup Train [23][580/2134]	Time 0.710 (0.647)	Data 0.002 (0.024)	Loss 4.5168 (4.4993)	Top-1 acc 17.969 (19.567)	Top-5 acc 42.578 (41.317)	lr 0.02056
Warmup Train [23][590/2134]	Time 0.394 (0.646)	Data 0.003 (0.024)	Loss 4.2844 (4.4990)	Top-1 acc 24.219 (19.586)	Top-5 acc 46.094 (41.324)	lr 0.02055
Warmup Train [23][600/2134]	Time 0.469 (0.645)	Data 0.002 (0.024)	Loss 4.7254 (4.4989)	Top-1 acc 16.797 (19.598)	Top-5 acc 34.375 (41.324)	lr 0.02055
Warmup Train [23][610/2134]	Time 0.721 (0.644)	Data 0.002 (0.024)	Loss 4.5743 (4.4985)	Top-1 acc 20.312 (19.605)	Top-5 acc 43.359 (41.337)	lr 0.02054
Warmup Train [23][620/2134]	Time 0.501 (0.643)	Data 0.002 (0.023)	Loss 4.4485 (4.4977)	Top-1 acc 21.875 (19.612)	Top-5 acc 41.016 (41.347)	lr 0.02053
Warmup Train [23][630/2134]	Time 0.732 (0.643)	Data 0.003 (0.023)	Loss 4.2972 (4.4981)	Top-1 acc 21.484 (19.594)	Top-5 acc 46.094 (41.335)	lr 0.02052
Warmup Train [23][640/2134]	Time 0.487 (0.643)	Data 0.002 (0.023)	Loss 4.5145 (4.4975)	Top-1 acc 16.797 (19.607)	Top-5 acc 41.016 (41.340)	lr 0.02051
Warmup Train [23][650/2134]	Time 0.753 (0.642)	Data 0.002 (0.023)	Loss 4.6095 (4.4968)	Top-1 acc 19.531 (19.621)	Top-5 acc 37.891 (41.359)	lr 0.02050
Warmup Train [23][660/2134]	Time 0.702 (0.642)	Data 0.002 (0.022)	Loss 4.5370 (4.4965)	Top-1 acc 16.797 (19.623)	Top-5 acc 40.234 (41.373)	lr 0.02049
Warmup Train [23][670/2134]	Time 0.624 (0.641)	Data 0.002 (0.022)	Loss 4.5517 (4.4965)	Top-1 acc 17.969 (19.620)	Top-5 acc 37.500 (41.357)	lr 0.02048
Warmup Train [23][680/2134]	Time 0.474 (0.640)	Data 0.002 (0.022)	Loss 4.6268 (4.4967)	Top-1 acc 19.141 (19.620)	Top-5 acc 39.062 (41.350)	lr 0.02047
Warmup Train [23][690/2134]	Time 0.594 (0.640)	Data 0.002 (0.022)	Loss 4.7026 (4.4970)	Top-1 acc 17.969 (19.608)	Top-5 acc 37.500 (41.337)	lr 0.02046
Warmup Train [23][700/2134]	Time 0.659 (0.640)	Data 0.002 (0.022)	Loss 4.3345 (4.4966)	Top-1 acc 20.312 (19.622)	Top-5 acc 49.609 (41.356)	lr 0.02045
Warmup Train [23][710/2134]	Time 0.517 (0.639)	Data 0.002 (0.021)	Loss 4.4371 (4.4957)	Top-1 acc 21.875 (19.633)	Top-5 acc 42.188 (41.376)	lr 0.02045
Warmup Train [23][720/2134]	Time 0.531 (0.642)	Data 0.002 (0.021)	Loss 4.6866 (4.4961)	Top-1 acc 17.188 (19.643)	Top-5 acc 35.547 (41.375)	lr 0.02044
Warmup Train [23][730/2134]	Time 0.541 (0.641)	Data 0.002 (0.021)	Loss 4.5417 (4.4956)	Top-1 acc 16.797 (19.642)	Top-5 acc 38.672 (41.378)	lr 0.02043
Warmup Train [23][740/2134]	Time 0.734 (0.641)	Data 0.002 (0.021)	Loss 4.3631 (4.4960)	Top-1 acc 25.000 (19.656)	Top-5 acc 44.531 (41.362)	lr 0.02042
Warmup Train [23][750/2134]	Time 0.601 (0.640)	Data 0.002 (0.021)	Loss 4.4873 (4.4961)	Top-1 acc 22.656 (19.665)	Top-5 acc 42.969 (41.381)	lr 0.02041
Warmup Train [23][760/2134]	Time 0.601 (0.640)	Data 0.003 (0.020)	Loss 4.6491 (4.4963)	Top-1 acc 17.578 (19.657)	Top-5 acc 39.453 (41.396)	lr 0.02040
Warmup Train [23][770/2134]	Time 0.533 (0.639)	Data 0.002 (0.020)	Loss 4.4914 (4.4961)	Top-1 acc 21.875 (19.676)	Top-5 acc 41.797 (41.410)	lr 0.02039
Warmup Train [23][780/2134]	Time 0.572 (0.639)	Data 0.003 (0.020)	Loss 4.5515 (4.4956)	Top-1 acc 19.531 (19.698)	Top-5 acc 37.891 (41.416)	lr 0.02038
Warmup Train [23][790/2134]	Time 0.602 (0.638)	Data 0.002 (0.020)	Loss 4.4802 (4.4951)	Top-1 acc 23.438 (19.712)	Top-5 acc 44.141 (41.435)	lr 0.02037
Warmup Train [23][800/2134]	Time 0.796 (0.638)	Data 0.005 (0.020)	Loss 4.3037 (4.4948)	Top-1 acc 22.656 (19.714)	Top-5 acc 44.141 (41.437)	lr 0.02036
Warmup Train [23][810/2134]	Time 0.627 (0.638)	Data 0.002 (0.020)	Loss 4.4403 (4.4950)	Top-1 acc 19.141 (19.712)	Top-5 acc 42.578 (41.435)	lr 0.02036
Warmup Train [23][820/2134]	Time 0.512 (0.637)	Data 0.002 (0.019)	Loss 4.4288 (4.4957)	Top-1 acc 24.219 (19.705)	Top-5 acc 39.844 (41.420)	lr 0.02035
Warmup Train [23][830/2134]	Time 0.641 (0.637)	Data 0.002 (0.019)	Loss 4.3983 (4.4955)	Top-1 acc 20.312 (19.709)	Top-5 acc 42.969 (41.423)	lr 0.02034
Warmup Train [23][840/2134]	Time 0.579 (0.637)	Data 0.002 (0.019)	Loss 4.4853 (4.4947)	Top-1 acc 17.578 (19.727)	Top-5 acc 43.750 (41.438)	lr 0.02033
Warmup Train [23][850/2134]	Time 0.508 (0.636)	Data 0.002 (0.019)	Loss 4.6081 (4.4942)	Top-1 acc 18.359 (19.736)	Top-5 acc 36.719 (41.438)	lr 0.02032
Warmup Train [23][860/2134]	Time 0.518 (0.636)	Data 0.002 (0.019)	Loss 4.5096 (4.4936)	Top-1 acc 18.750 (19.752)	Top-5 acc 41.016 (41.455)	lr 0.02031
Warmup Train [23][870/2134]	Time 0.442 (0.635)	Data 0.002 (0.019)	Loss 4.5427 (4.4940)	Top-1 acc 19.531 (19.755)	Top-5 acc 40.234 (41.443)	lr 0.02030
Warmup Train [23][880/2134]	Time 0.634 (0.635)	Data 0.002 (0.019)	Loss 4.5676 (4.4937)	Top-1 acc 15.625 (19.755)	Top-5 acc 39.453 (41.452)	lr 0.02029
Warmup Train [23][890/2134]	Time 0.549 (0.635)	Data 0.002 (0.018)	Loss 4.5281 (4.4934)	Top-1 acc 19.922 (19.755)	Top-5 acc 43.750 (41.455)	lr 0.02028
Warmup Train [23][900/2134]	Time 0.739 (0.635)	Data 0.002 (0.018)	Loss 4.3496 (4.4929)	Top-1 acc 20.703 (19.774)	Top-5 acc 48.438 (41.471)	lr 0.02027
Warmup Train [23][910/2134]	Time 0.419 (0.635)	Data 0.003 (0.018)	Loss 4.4783 (4.4926)	Top-1 acc 21.875 (19.787)	Top-5 acc 41.406 (41.486)	lr 0.02026
Warmup Train [23][920/2134]	Time 0.481 (0.635)	Data 0.003 (0.018)	Loss 4.7179 (4.4931)	Top-1 acc 19.531 (19.784)	Top-5 acc 37.500 (41.469)	lr 0.02026
Warmup Train [23][930/2134]	Time 0.618 (0.637)	Data 0.003 (0.018)	Loss 4.4284 (4.4933)	Top-1 acc 25.391 (19.793)	Top-5 acc 46.875 (41.474)	lr 0.02025
Warmup Train [23][940/2134]	Time 0.588 (0.636)	Data 0.002 (0.018)	Loss 4.3937 (4.4928)	Top-1 acc 23.047 (19.809)	Top-5 acc 44.531 (41.478)	lr 0.02024
Warmup Train [23][950/2134]	Time 0.643 (0.636)	Data 0.002 (0.018)	Loss 4.4746 (4.4927)	Top-1 acc 19.141 (19.809)	Top-5 acc 39.844 (41.481)	lr 0.02023
Warmup Train [23][960/2134]	Time 0.774 (0.636)	Data 0.002 (0.018)	Loss 4.6736 (4.4928)	Top-1 acc 17.969 (19.810)	Top-5 acc 39.844 (41.479)	lr 0.02022
Warmup Train [23][970/2134]	Time 0.486 (0.635)	Data 0.002 (0.018)	Loss 4.4609 (4.4933)	Top-1 acc 20.703 (19.799)	Top-5 acc 39.453 (41.457)	lr 0.02021
Warmup Train [23][980/2134]	Time 0.570 (0.635)	Data 0.003 (0.017)	Loss 4.4232 (4.4931)	Top-1 acc 18.359 (19.802)	Top-5 acc 44.531 (41.473)	lr 0.02020
Warmup Train [23][990/2134]	Time 0.729 (0.635)	Data 0.002 (0.017)	Loss 4.6097 (4.4929)	Top-1 acc 21.094 (19.799)	Top-5 acc 40.625 (41.465)	lr 0.02019
Warmup Train [23][1000/2134]	Time 0.609 (0.634)	Data 0.003 (0.017)	Loss 4.6603 (4.4932)	Top-1 acc 16.406 (19.789)	Top-5 acc 39.062 (41.466)	lr 0.02018
Warmup Train [23][1010/2134]	Time 0.674 (0.634)	Data 0.002 (0.017)	Loss 4.3041 (4.4923)	Top-1 acc 23.828 (19.805)	Top-5 acc 46.875 (41.490)	lr 0.02017
Warmup Train [23][1020/2134]	Time 0.677 (0.634)	Data 0.002 (0.017)	Loss 4.5005 (4.4919)	Top-1 acc 17.188 (19.807)	Top-5 acc 46.094 (41.515)	lr 0.02017
Warmup Train [23][1030/2134]	Time 0.509 (0.633)	Data 0.002 (0.017)	Loss 4.5806 (4.4925)	Top-1 acc 19.141 (19.803)	Top-5 acc 38.672 (41.497)	lr 0.02016
Warmup Train [23][1040/2134]	Time 0.517 (0.633)	Data 0.002 (0.017)	Loss 4.4475 (4.4921)	Top-1 acc 19.922 (19.809)	Top-5 acc 43.359 (41.514)	lr 0.02015
Warmup Train [23][1050/2134]	Time 0.623 (0.633)	Data 0.002 (0.017)	Loss 4.4987 (4.4925)	Top-1 acc 22.656 (19.821)	Top-5 acc 39.844 (41.516)	lr 0.02014
Warmup Train [23][1060/2134]	Time 0.498 (0.633)	Data 0.002 (0.017)	Loss 4.4743 (4.4919)	Top-1 acc 17.188 (19.815)	Top-5 acc 39.453 (41.534)	lr 0.02013
Warmup Train [23][1070/2134]	Time 0.432 (0.633)	Data 0.002 (0.017)	Loss 4.6092 (4.4918)	Top-1 acc 17.188 (19.808)	Top-5 acc 40.234 (41.532)	lr 0.02012
Warmup Train [23][1080/2134]	Time 0.519 (0.632)	Data 0.002 (0.017)	Loss 4.3976 (4.4915)	Top-1 acc 20.703 (19.816)	Top-5 acc 45.703 (41.532)	lr 0.02011
Warmup Train [23][1090/2134]	Time 0.651 (0.632)	Data 0.002 (0.017)	Loss 4.5040 (4.4915)	Top-1 acc 17.969 (19.812)	Top-5 acc 42.188 (41.523)	lr 0.02010
Warmup Train [23][1100/2134]	Time 0.568 (0.632)	Data 0.002 (0.017)	Loss 4.5755 (4.4910)	Top-1 acc 17.578 (19.814)	Top-5 acc 36.328 (41.527)	lr 0.02009
Warmup Train [23][1110/2134]	Time 0.594 (0.632)	Data 0.002 (0.016)	Loss 4.6719 (4.4912)	Top-1 acc 20.312 (19.816)	Top-5 acc 38.281 (41.530)	lr 0.02008
Warmup Train [23][1120/2134]	Time 0.509 (0.632)	Data 0.002 (0.016)	Loss 4.4408 (4.4909)	Top-1 acc 20.312 (19.823)	Top-5 acc 43.359 (41.530)	lr 0.02008
Warmup Train [23][1130/2134]	Time 0.739 (0.632)	Data 0.002 (0.016)	Loss 4.5428 (4.4908)	Top-1 acc 18.750 (19.820)	Top-5 acc 37.500 (41.535)	lr 0.02007
Warmup Train [23][1140/2134]	Time 0.685 (0.631)	Data 0.002 (0.016)	Loss 4.4738 (4.4905)	Top-1 acc 17.969 (19.827)	Top-5 acc 40.625 (41.550)	lr 0.02006
Warmup Train [23][1150/2134]	Time 0.565 (0.633)	Data 0.004 (0.016)	Loss 4.4323 (4.4902)	Top-1 acc 22.266 (19.827)	Top-5 acc 43.750 (41.547)	lr 0.02005
Warmup Train [23][1160/2134]	Time 0.470 (0.633)	Data 0.002 (0.016)	Loss 4.5484 (4.4900)	Top-1 acc 21.875 (19.835)	Top-5 acc 42.969 (41.556)	lr 0.02004
Warmup Train [23][1170/2134]	Time 0.713 (0.632)	Data 0.002 (0.016)	Loss 4.4161 (4.4898)	Top-1 acc 17.578 (19.843)	Top-5 acc 41.797 (41.554)	lr 0.02003
Warmup Train [23][1180/2134]	Time 0.554 (0.632)	Data 0.002 (0.016)	Loss 4.7246 (4.4898)	Top-1 acc 16.406 (19.849)	Top-5 acc 40.625 (41.557)	lr 0.02002
Warmup Train [23][1190/2134]	Time 0.744 (0.632)	Data 0.002 (0.016)	Loss 4.5249 (4.4895)	Top-1 acc 17.969 (19.855)	Top-5 acc 39.844 (41.562)	lr 0.02001
Warmup Train [23][1200/2134]	Time 0.629 (0.631)	Data 0.002 (0.016)	Loss 4.5546 (4.4896)	Top-1 acc 18.750 (19.855)	Top-5 acc 37.109 (41.557)	lr 0.02000
Warmup Train [23][1210/2134]	Time 0.619 (0.631)	Data 0.002 (0.016)	Loss 4.4926 (4.4894)	Top-1 acc 18.359 (19.861)	Top-5 acc 41.016 (41.566)	lr 0.01999
Warmup Train [23][1220/2134]	Time 0.612 (0.631)	Data 0.002 (0.016)	Loss 4.4971 (4.4889)	Top-1 acc 18.359 (19.870)	Top-5 acc 39.844 (41.582)	lr 0.01999
Warmup Train [23][1230/2134]	Time 0.576 (0.631)	Data 0.002 (0.016)	Loss 4.4188 (4.4892)	Top-1 acc 22.656 (19.870)	Top-5 acc 41.016 (41.571)	lr 0.01998
Warmup Train [23][1240/2134]	Time 0.788 (0.631)	Data 0.002 (0.016)	Loss 4.5078 (4.4893)	Top-1 acc 17.578 (19.865)	Top-5 acc 39.453 (41.565)	lr 0.01997
Warmup Train [23][1250/2134]	Time 0.565 (0.630)	Data 0.002 (0.015)	Loss 4.6049 (4.4890)	Top-1 acc 17.578 (19.863)	Top-5 acc 39.844 (41.569)	lr 0.01996
Warmup Train [23][1260/2134]	Time 0.715 (0.630)	Data 0.002 (0.015)	Loss 4.4724 (4.4892)	Top-1 acc 20.312 (19.854)	Top-5 acc 42.578 (41.564)	lr 0.01995
Warmup Train [23][1270/2134]	Time 0.673 (0.630)	Data 0.003 (0.015)	Loss 4.5605 (4.4890)	Top-1 acc 18.750 (19.856)	Top-5 acc 41.016 (41.563)	lr 0.01994
Warmup Train [23][1280/2134]	Time 0.703 (0.630)	Data 0.002 (0.015)	Loss 4.5005 (4.4889)	Top-1 acc 19.922 (19.855)	Top-5 acc 40.625 (41.566)	lr 0.01993
Warmup Train [23][1290/2134]	Time 0.644 (0.630)	Data 0.002 (0.015)	Loss 4.4508 (4.4886)	Top-1 acc 16.406 (19.858)	Top-5 acc 41.797 (41.575)	lr 0.01992
Warmup Train [23][1300/2134]	Time 0.492 (0.629)	Data 0.002 (0.015)	Loss 4.4411 (4.4883)	Top-1 acc 21.875 (19.864)	Top-5 acc 44.922 (41.583)	lr 0.01991
Warmup Train [23][1310/2134]	Time 0.668 (0.629)	Data 0.002 (0.015)	Loss 4.4764 (4.4881)	Top-1 acc 20.312 (19.873)	Top-5 acc 42.188 (41.587)	lr 0.01990
Warmup Train [23][1320/2134]	Time 0.665 (0.629)	Data 0.002 (0.015)	Loss 4.5706 (4.4885)	Top-1 acc 18.359 (19.874)	Top-5 acc 44.531 (41.580)	lr 0.01990
Warmup Train [23][1330/2134]	Time 0.592 (0.629)	Data 0.002 (0.015)	Loss 4.4680 (4.4883)	Top-1 acc 19.531 (19.875)	Top-5 acc 43.359 (41.576)	lr 0.01989
Warmup Train [23][1340/2134]	Time 0.595 (0.629)	Data 0.002 (0.015)	Loss 4.3711 (4.4880)	Top-1 acc 21.875 (19.880)	Top-5 acc 44.922 (41.587)	lr 0.01988
Warmup Train [23][1350/2134]	Time 0.608 (0.629)	Data 0.002 (0.015)	Loss 4.4656 (4.4883)	Top-1 acc 18.359 (19.869)	Top-5 acc 37.109 (41.572)	lr 0.01987
Warmup Train [23][1360/2134]	Time 0.655 (0.629)	Data 0.002 (0.015)	Loss 4.5879 (4.4884)	Top-1 acc 15.625 (19.867)	Top-5 acc 41.016 (41.564)	lr 0.01986
Warmup Train [23][1370/2134]	Time 0.572 (0.630)	Data 0.002 (0.015)	Loss 4.2798 (4.4879)	Top-1 acc 24.609 (19.878)	Top-5 acc 46.875 (41.573)	lr 0.01985
Warmup Train [23][1380/2134]	Time 0.634 (0.630)	Data 0.003 (0.015)	Loss 4.4595 (4.4877)	Top-1 acc 17.969 (19.877)	Top-5 acc 39.062 (41.583)	lr 0.01984
Warmup Train [23][1390/2134]	Time 0.619 (0.630)	Data 0.002 (0.015)	Loss 4.5259 (4.4877)	Top-1 acc 20.703 (19.876)	Top-5 acc 40.625 (41.583)	lr 0.01983
Warmup Train [23][1400/2134]	Time 0.623 (0.630)	Data 0.002 (0.014)	Loss 4.5870 (4.4878)	Top-1 acc 17.969 (19.864)	Top-5 acc 39.453 (41.580)	lr 0.01982
Warmup Train [23][1410/2134]	Time 0.701 (0.630)	Data 0.002 (0.014)	Loss 4.6655 (4.4877)	Top-1 acc 17.969 (19.857)	Top-5 acc 37.500 (41.585)	lr 0.01981
Warmup Train [23][1420/2134]	Time 0.748 (0.629)	Data 0.002 (0.014)	Loss 4.6174 (4.4878)	Top-1 acc 21.094 (19.862)	Top-5 acc 41.016 (41.586)	lr 0.01981
Warmup Train [23][1430/2134]	Time 0.522 (0.629)	Data 0.002 (0.014)	Loss 4.4015 (4.4876)	Top-1 acc 21.484 (19.866)	Top-5 acc 41.406 (41.587)	lr 0.01980
Warmup Train [23][1440/2134]	Time 0.640 (0.629)	Data 0.002 (0.014)	Loss 4.4342 (4.4874)	Top-1 acc 21.484 (19.866)	Top-5 acc 43.750 (41.591)	lr 0.01979
Warmup Train [23][1450/2134]	Time 0.581 (0.629)	Data 0.002 (0.014)	Loss 4.4436 (4.4873)	Top-1 acc 21.484 (19.865)	Top-5 acc 42.188 (41.596)	lr 0.01978
Warmup Train [23][1460/2134]	Time 0.600 (0.629)	Data 0.002 (0.014)	Loss 4.5484 (4.4874)	Top-1 acc 19.141 (19.868)	Top-5 acc 41.797 (41.589)	lr 0.01977
Warmup Train [23][1470/2134]	Time 0.644 (0.629)	Data 0.002 (0.014)	Loss 4.4640 (4.4873)	Top-1 acc 23.047 (19.872)	Top-5 acc 42.578 (41.587)	lr 0.01976
Warmup Train [23][1480/2134]	Time 0.475 (0.629)	Data 0.002 (0.014)	Loss 4.5263 (4.4871)	Top-1 acc 17.578 (19.876)	Top-5 acc 42.188 (41.586)	lr 0.01975
Warmup Train [23][1490/2134]	Time 0.448 (0.628)	Data 0.002 (0.014)	Loss 4.6975 (4.4871)	Top-1 acc 16.016 (19.878)	Top-5 acc 37.500 (41.587)	lr 0.01974
Warmup Train [23][1500/2134]	Time 0.584 (0.628)	Data 0.002 (0.014)	Loss 4.5292 (4.4873)	Top-1 acc 16.406 (19.872)	Top-5 acc 42.969 (41.585)	lr 0.01973
Warmup Train [23][1510/2134]	Time 0.617 (0.628)	Data 0.003 (0.014)	Loss 4.7317 (4.4877)	Top-1 acc 15.234 (19.859)	Top-5 acc 37.500 (41.577)	lr 0.01972
Warmup Train [23][1520/2134]	Time 0.608 (0.628)	Data 0.002 (0.014)	Loss 4.5250 (4.4875)	Top-1 acc 16.016 (19.862)	Top-5 acc 42.578 (41.580)	lr 0.01972
Warmup Train [23][1530/2134]	Time 0.608 (0.628)	Data 0.005 (0.014)	Loss 4.5254 (4.4874)	Top-1 acc 17.578 (19.860)	Top-5 acc 40.234 (41.576)	lr 0.01971
Warmup Train [23][1540/2134]	Time 0.627 (0.628)	Data 0.002 (0.014)	Loss 4.6887 (4.4876)	Top-1 acc 15.625 (19.861)	Top-5 acc 34.375 (41.569)	lr 0.01970
Warmup Train [23][1550/2134]	Time 0.518 (0.628)	Data 0.002 (0.014)	Loss 4.4231 (4.4880)	Top-1 acc 22.266 (19.854)	Top-5 acc 42.969 (41.564)	lr 0.01969
Warmup Train [23][1560/2134]	Time 0.631 (0.628)	Data 0.002 (0.014)	Loss 4.3249 (4.4881)	Top-1 acc 19.922 (19.853)	Top-5 acc 45.312 (41.557)	lr 0.01968
Warmup Train [23][1570/2134]	Time 0.571 (0.628)	Data 0.002 (0.014)	Loss 4.4158 (4.4881)	Top-1 acc 23.047 (19.857)	Top-5 acc 43.359 (41.564)	lr 0.01967
Warmup Train [23][1580/2134]	Time 0.690 (0.628)	Data 0.002 (0.014)	Loss 4.3386 (4.4877)	Top-1 acc 22.266 (19.859)	Top-5 acc 44.141 (41.570)	lr 0.01966
Warmup Train [23][1590/2134]	Time 0.316 (0.628)	Data 0.002 (0.014)	Loss 4.3069 (4.4875)	Top-1 acc 21.094 (19.857)	Top-5 acc 44.922 (41.571)	lr 0.01965
Warmup Train [23][1600/2134]	Time 0.651 (0.628)	Data 0.003 (0.014)	Loss 4.5867 (4.4876)	Top-1 acc 19.531 (19.860)	Top-5 acc 42.578 (41.571)	lr 0.01964
Warmup Train [23][1610/2134]	Time 0.745 (0.628)	Data 0.002 (0.014)	Loss 4.4706 (4.4876)	Top-1 acc 20.312 (19.859)	Top-5 acc 42.578 (41.573)	lr 0.01963
Warmup Train [23][1620/2134]	Time 0.821 (0.628)	Data 0.002 (0.014)	Loss 4.5045 (4.4877)	Top-1 acc 19.141 (19.852)	Top-5 acc 41.406 (41.569)	lr 0.01963
Warmup Train [23][1630/2134]	Time 0.544 (0.628)	Data 0.002 (0.013)	Loss 4.3993 (4.4872)	Top-1 acc 23.047 (19.861)	Top-5 acc 44.141 (41.582)	lr 0.01962
Warmup Train [23][1640/2134]	Time 0.638 (0.628)	Data 0.002 (0.013)	Loss 4.5615 (4.4866)	Top-1 acc 19.922 (19.871)	Top-5 acc 39.453 (41.600)	lr 0.01961
Warmup Train [23][1650/2134]	Time 0.683 (0.628)	Data 0.002 (0.013)	Loss 4.6583 (4.4866)	Top-1 acc 16.406 (19.875)	Top-5 acc 36.719 (41.601)	lr 0.01960
Warmup Train [23][1660/2134]	Time 0.644 (0.628)	Data 0.002 (0.013)	Loss 4.5842 (4.4866)	Top-1 acc 17.969 (19.873)	Top-5 acc 38.672 (41.604)	lr 0.01959
Warmup Train [23][1670/2134]	Time 0.694 (0.628)	Data 0.002 (0.013)	Loss 4.4270 (4.4866)	Top-1 acc 18.750 (19.873)	Top-5 acc 41.406 (41.598)	lr 0.01958
Warmup Train [23][1680/2134]	Time 0.648 (0.627)	Data 0.002 (0.013)	Loss 4.4054 (4.4867)	Top-1 acc 19.531 (19.869)	Top-5 acc 42.969 (41.593)	lr 0.01957
Warmup Train [23][1690/2134]	Time 0.559 (0.627)	Data 0.002 (0.013)	Loss 4.3254 (4.4864)	Top-1 acc 22.656 (19.874)	Top-5 acc 46.094 (41.599)	lr 0.01956
Warmup Train [23][1700/2134]	Time 0.705 (0.627)	Data 0.002 (0.013)	Loss 4.2870 (4.4861)	Top-1 acc 22.656 (19.873)	Top-5 acc 46.094 (41.603)	lr 0.01955
Warmup Train [23][1710/2134]	Time 0.608 (0.627)	Data 0.002 (0.013)	Loss 4.6251 (4.4862)	Top-1 acc 18.359 (19.872)	Top-5 acc 36.328 (41.597)	lr 0.01954
Warmup Train [23][1720/2134]	Time 0.510 (0.627)	Data 0.002 (0.013)	Loss 4.2303 (4.4858)	Top-1 acc 27.344 (19.879)	Top-5 acc 47.266 (41.608)	lr 0.01954
Warmup Train [23][1730/2134]	Time 0.720 (0.627)	Data 0.003 (0.013)	Loss 4.5286 (4.4857)	Top-1 acc 17.578 (19.886)	Top-5 acc 39.844 (41.613)	lr 0.01953
Warmup Train [23][1740/2134]	Time 0.546 (0.627)	Data 0.002 (0.013)	Loss 4.6227 (4.4855)	Top-1 acc 17.188 (19.892)	Top-5 acc 36.328 (41.617)	lr 0.01952
Warmup Train [23][1750/2134]	Time 0.608 (0.627)	Data 0.003 (0.013)	Loss 4.6773 (4.4855)	Top-1 acc 17.969 (19.896)	Top-5 acc 40.234 (41.619)	lr 0.01951
Warmup Train [23][1760/2134]	Time 0.533 (0.627)	Data 0.002 (0.013)	Loss 4.5682 (4.4854)	Top-1 acc 17.578 (19.896)	Top-5 acc 41.797 (41.620)	lr 0.01950
Warmup Train [23][1770/2134]	Time 0.690 (0.627)	Data 0.002 (0.013)	Loss 4.4134 (4.4852)	Top-1 acc 23.438 (19.897)	Top-5 acc 44.531 (41.620)	lr 0.01949
Warmup Train [23][1780/2134]	Time 0.660 (0.627)	Data 0.002 (0.013)	Loss 4.4499 (4.4852)	Top-1 acc 19.531 (19.903)	Top-5 acc 43.750 (41.622)	lr 0.01948
Warmup Train [23][1790/2134]	Time 0.660 (0.627)	Data 0.002 (0.013)	Loss 4.6381 (4.4850)	Top-1 acc 18.750 (19.894)	Top-5 acc 37.109 (41.620)	lr 0.01947
Warmup Train [23][1800/2134]	Time 0.415 (0.627)	Data 0.002 (0.013)	Loss 4.2322 (4.4851)	Top-1 acc 24.219 (19.898)	Top-5 acc 48.047 (41.620)	lr 0.01946
Warmup Train [23][1810/2134]	Time 0.583 (0.628)	Data 0.002 (0.013)	Loss 4.4769 (4.4850)	Top-1 acc 21.094 (19.899)	Top-5 acc 41.406 (41.615)	lr 0.01945
Warmup Train [23][1820/2134]	Time 0.629 (0.628)	Data 0.002 (0.013)	Loss 4.3865 (4.4847)	Top-1 acc 19.531 (19.902)	Top-5 acc 48.047 (41.624)	lr 0.01945
Warmup Train [23][1830/2134]	Time 0.778 (0.628)	Data 0.002 (0.013)	Loss 4.3478 (4.4846)	Top-1 acc 19.141 (19.905)	Top-5 acc 42.969 (41.627)	lr 0.01944
Warmup Train [23][1840/2134]	Time 0.430 (0.627)	Data 0.002 (0.013)	Loss 4.3484 (4.4846)	Top-1 acc 22.656 (19.904)	Top-5 acc 44.922 (41.624)	lr 0.01943
Warmup Train [23][1850/2134]	Time 0.660 (0.627)	Data 0.002 (0.013)	Loss 4.5343 (4.4844)	Top-1 acc 17.969 (19.911)	Top-5 acc 39.844 (41.627)	lr 0.01942
Warmup Train [23][1860/2134]	Time 0.618 (0.627)	Data 0.003 (0.013)	Loss 4.3848 (4.4841)	Top-1 acc 21.484 (19.917)	Top-5 acc 45.703 (41.633)	lr 0.01941
Warmup Train [23][1870/2134]	Time 0.738 (0.627)	Data 0.002 (0.013)	Loss 4.3473 (4.4840)	Top-1 acc 23.828 (19.923)	Top-5 acc 42.969 (41.636)	lr 0.01940
Warmup Train [23][1880/2134]	Time 0.615 (0.627)	Data 0.002 (0.013)	Loss 4.3924 (4.4841)	Top-1 acc 20.312 (19.922)	Top-5 acc 45.703 (41.629)	lr 0.01939
Warmup Train [23][1890/2134]	Time 0.450 (0.627)	Data 0.003 (0.013)	Loss 4.4436 (4.4836)	Top-1 acc 24.609 (19.935)	Top-5 acc 42.578 (41.640)	lr 0.01938
Warmup Train [23][1900/2134]	Time 0.674 (0.627)	Data 0.003 (0.013)	Loss 4.3532 (4.4831)	Top-1 acc 22.266 (19.942)	Top-5 acc 46.094 (41.651)	lr 0.01937
Warmup Train [23][1910/2134]	Time 0.559 (0.627)	Data 0.002 (0.013)	Loss 4.3047 (4.4828)	Top-1 acc 22.266 (19.949)	Top-5 acc 44.922 (41.660)	lr 0.01937
Warmup Train [23][1920/2134]	Time 0.420 (0.627)	Data 0.003 (0.013)	Loss 4.4861 (4.4822)	Top-1 acc 20.312 (19.958)	Top-5 acc 41.016 (41.677)	lr 0.01936
Warmup Train [23][1930/2134]	Time 0.583 (0.627)	Data 0.002 (0.013)	Loss 4.4874 (4.4820)	Top-1 acc 18.750 (19.962)	Top-5 acc 41.406 (41.685)	lr 0.01935
Warmup Train [23][1940/2134]	Time 0.634 (0.627)	Data 0.002 (0.013)	Loss 4.5615 (4.4817)	Top-1 acc 19.922 (19.967)	Top-5 acc 39.453 (41.688)	lr 0.01934
Warmup Train [23][1950/2134]	Time 0.636 (0.627)	Data 0.002 (0.013)	Loss 4.3979 (4.4818)	Top-1 acc 23.047 (19.963)	Top-5 acc 43.750 (41.688)	lr 0.01933
Warmup Train [23][1960/2134]	Time 0.607 (0.626)	Data 0.002 (0.012)	Loss 4.3491 (4.4818)	Top-1 acc 21.094 (19.960)	Top-5 acc 46.484 (41.685)	lr 0.01932
Warmup Train [23][1970/2134]	Time 0.404 (0.626)	Data 0.002 (0.012)	Loss 4.2464 (4.4814)	Top-1 acc 20.703 (19.959)	Top-5 acc 46.484 (41.694)	lr 0.01931
Warmup Train [23][1980/2134]	Time 0.587 (0.626)	Data 0.003 (0.013)	Loss 4.4875 (4.4814)	Top-1 acc 21.094 (19.959)	Top-5 acc 41.797 (41.696)	lr 0.01930
Warmup Train [23][1990/2134]	Time 0.350 (0.626)	Data 0.002 (0.012)	Loss 4.4658 (4.4814)	Top-1 acc 22.266 (19.957)	Top-5 acc 44.531 (41.687)	lr 0.01929
Warmup Train [23][2000/2134]	Time 0.528 (0.626)	Data 0.002 (0.012)	Loss 4.6094 (4.4814)	Top-1 acc 14.062 (19.955)	Top-5 acc 38.281 (41.691)	lr 0.01928
Warmup Train [23][2010/2134]	Time 0.698 (0.626)	Data 0.002 (0.013)	Loss 4.4682 (4.4814)	Top-1 acc 21.484 (19.961)	Top-5 acc 43.750 (41.695)	lr 0.01928
Warmup Train [23][2020/2134]	Time 0.629 (0.626)	Data 0.002 (0.012)	Loss 4.4726 (4.4815)	Top-1 acc 20.703 (19.956)	Top-5 acc 41.016 (41.689)	lr 0.01927
Warmup Train [23][2030/2134]	Time 0.540 (0.626)	Data 0.002 (0.012)	Loss 4.4306 (4.4815)	Top-1 acc 17.969 (19.957)	Top-5 acc 43.750 (41.692)	lr 0.01926
Warmup Train [23][2040/2134]	Time 0.618 (0.627)	Data 0.002 (0.012)	Loss 4.4120 (4.4814)	Top-1 acc 21.875 (19.957)	Top-5 acc 46.484 (41.697)	lr 0.01925
Warmup Train [23][2050/2134]	Time 0.427 (0.626)	Data 0.003 (0.012)	Loss 4.5852 (4.4815)	Top-1 acc 17.188 (19.954)	Top-5 acc 40.625 (41.693)	lr 0.01924
Warmup Train [23][2060/2134]	Time 0.619 (0.626)	Data 0.002 (0.012)	Loss 4.5964 (4.4815)	Top-1 acc 17.969 (19.959)	Top-5 acc 40.625 (41.691)	lr 0.01923
Warmup Train [23][2070/2134]	Time 0.668 (0.626)	Data 0.003 (0.012)	Loss 4.5668 (4.4815)	Top-1 acc 18.359 (19.964)	Top-5 acc 39.453 (41.689)	lr 0.01922
Warmup Train [23][2080/2134]	Time 0.565 (0.626)	Data 0.000 (0.012)	Loss 4.4402 (4.4813)	Top-1 acc 22.656 (19.968)	Top-5 acc 46.094 (41.696)	lr 0.01921
Warmup Train [23][2090/2134]	Time 0.666 (0.626)	Data 0.000 (0.012)	Loss 4.4694 (4.4812)	Top-1 acc 18.359 (19.971)	Top-5 acc 44.141 (41.698)	lr 0.01920
Warmup Train [23][2100/2134]	Time 0.598 (0.626)	Data 0.000 (0.012)	Loss 4.5165 (4.4813)	Top-1 acc 19.531 (19.970)	Top-5 acc 41.016 (41.697)	lr 0.01920
Warmup Train [23][2110/2134]	Time 0.626 (0.625)	Data 0.000 (0.012)	Loss 4.5198 (4.4813)	Top-1 acc 19.922 (19.968)	Top-5 acc 40.625 (41.700)	lr 0.01919
Warmup Train [23][2120/2134]	Time 0.494 (0.625)	Data 0.000 (0.012)	Loss 4.4637 (4.4814)	Top-1 acc 18.359 (19.963)	Top-5 acc 38.672 (41.692)	lr 0.01918
Warmup Train [23][2130/2134]	Time 0.583 (0.625)	Data 0.000 (0.012)	Loss 4.4158 (4.4812)	Top-1 acc 23.438 (19.972)	Top-5 acc 42.578 (41.695)	lr 0.01917
Warmup Train [23][2134/2134]	Time 0.595 (0.625)	Data 0.000 (0.012)	Loss 4.3404 (4.4810)	Top-1 acc 21.390 (19.977)	Top-5 acc 43.850 (41.698)	lr 0.01916
==========Warmup Valid [23/40]	loss 3.524	top-1 acc 27.315	top-5 acc 52.014	Train top-1 19.977	top-5 41.698	flops: 442.4M
Warmup Train [24][0/2134]	Time 17.571 (17.571)	Data 14.820 (14.820)	Loss 4.5974 (4.5974)	Top-1 acc 16.016 (16.016)	Top-5 acc 41.406 (41.406)	lr 0.01916
Warmup Train [24][10/2134]	Time 0.487 (2.218)	Data 0.002 (1.354)	Loss 4.5006 (4.4966)	Top-1 acc 21.875 (19.993)	Top-5 acc 40.625 (40.199)	lr 0.01915
Warmup Train [24][20/2134]	Time 0.823 (1.465)	Data 0.002 (0.716)	Loss 4.4385 (4.4683)	Top-1 acc 18.359 (19.754)	Top-5 acc 39.062 (41.183)	lr 0.01915
Warmup Train [24][30/2134]	Time 0.618 (1.188)	Data 0.002 (0.486)	Loss 4.4380 (4.4473)	Top-1 acc 18.750 (20.035)	Top-5 acc 44.922 (42.162)	lr 0.01914
Warmup Train [24][40/2134]	Time 0.693 (1.049)	Data 0.003 (0.368)	Loss 4.4825 (4.4524)	Top-1 acc 22.266 (20.255)	Top-5 acc 41.797 (42.159)	lr 0.01913
Warmup Train [24][50/2134]	Time 0.712 (0.972)	Data 0.002 (0.297)	Loss 4.3730 (4.4359)	Top-1 acc 23.438 (20.665)	Top-5 acc 45.312 (42.647)	lr 0.01912
Warmup Train [24][60/2134]	Time 0.765 (0.916)	Data 0.002 (0.249)	Loss 4.4899 (4.4354)	Top-1 acc 17.188 (20.505)	Top-5 acc 42.578 (42.687)	lr 0.01911
Warmup Train [24][70/2134]	Time 0.698 (0.875)	Data 0.002 (0.214)	Loss 4.5090 (4.4398)	Top-1 acc 21.484 (20.500)	Top-5 acc 39.062 (42.430)	lr 0.01910
Warmup Train [24][80/2134]	Time 0.682 (0.849)	Data 0.003 (0.188)	Loss 4.4832 (4.4404)	Top-1 acc 23.047 (20.621)	Top-5 acc 43.750 (42.525)	lr 0.01909
Warmup Train [24][90/2134]	Time 0.666 (0.852)	Data 0.003 (0.168)	Loss 4.4464 (4.4422)	Top-1 acc 22.656 (20.574)	Top-5 acc 43.359 (42.535)	lr 0.01908
Warmup Train [24][100/2134]	Time 0.520 (0.828)	Data 0.002 (0.151)	Loss 4.5419 (4.4462)	Top-1 acc 17.969 (20.514)	Top-5 acc 39.062 (42.458)	lr 0.01907
Warmup Train [24][110/2134]	Time 0.721 (0.810)	Data 0.002 (0.139)	Loss 4.3335 (4.4407)	Top-1 acc 19.141 (20.612)	Top-5 acc 46.094 (42.617)	lr 0.01907
Warmup Train [24][120/2134]	Time 0.452 (0.790)	Data 0.002 (0.128)	Loss 4.6890 (4.4431)	Top-1 acc 17.969 (20.551)	Top-5 acc 35.547 (42.559)	lr 0.01906
Warmup Train [24][130/2134]	Time 0.448 (0.778)	Data 0.002 (0.119)	Loss 4.3798 (4.4424)	Top-1 acc 24.609 (20.542)	Top-5 acc 41.016 (42.551)	lr 0.01905
Warmup Train [24][140/2134]	Time 0.683 (0.766)	Data 0.002 (0.112)	Loss 4.4917 (4.4416)	Top-1 acc 21.484 (20.587)	Top-5 acc 42.578 (42.545)	lr 0.01904
Warmup Train [24][150/2134]	Time 0.685 (0.756)	Data 0.002 (0.104)	Loss 4.4964 (4.4426)	Top-1 acc 23.828 (20.563)	Top-5 acc 41.406 (42.576)	lr 0.01903
Warmup Train [24][160/2134]	Time 0.546 (0.746)	Data 0.002 (0.099)	Loss 4.3552 (4.4447)	Top-1 acc 21.484 (20.511)	Top-5 acc 44.531 (42.515)	lr 0.01902
Warmup Train [24][170/2134]	Time 0.541 (0.737)	Data 0.002 (0.094)	Loss 4.3728 (4.4434)	Top-1 acc 19.922 (20.450)	Top-5 acc 46.094 (42.519)	lr 0.01901
Warmup Train [24][180/2134]	Time 0.612 (0.731)	Data 0.002 (0.090)	Loss 4.2358 (4.4392)	Top-1 acc 25.000 (20.550)	Top-5 acc 47.266 (42.623)	lr 0.01900
Warmup Train [24][190/2134]	Time 0.613 (0.726)	Data 0.002 (0.086)	Loss 4.5270 (4.4380)	Top-1 acc 19.922 (20.540)	Top-5 acc 42.188 (42.654)	lr 0.01899
Warmup Train [24][200/2134]	Time 0.668 (0.721)	Data 0.002 (0.081)	Loss 4.5581 (4.4388)	Top-1 acc 19.922 (20.530)	Top-5 acc 42.578 (42.633)	lr 0.01899
Warmup Train [24][210/2134]	Time 0.656 (0.717)	Data 0.002 (0.078)	Loss 4.3335 (4.4394)	Top-1 acc 23.438 (20.516)	Top-5 acc 42.969 (42.615)	lr 0.01898
Warmup Train [24][220/2134]	Time 0.700 (0.712)	Data 0.002 (0.074)	Loss 4.4507 (4.4391)	Top-1 acc 21.094 (20.530)	Top-5 acc 41.016 (42.675)	lr 0.01897
Warmup Train [24][230/2134]	Time 0.712 (0.708)	Data 0.002 (0.071)	Loss 4.3803 (4.4385)	Top-1 acc 17.969 (20.483)	Top-5 acc 41.797 (42.713)	lr 0.01896
Warmup Train [24][240/2134]	Time 0.542 (0.704)	Data 0.002 (0.069)	Loss 4.5228 (4.4391)	Top-1 acc 21.094 (20.450)	Top-5 acc 41.406 (42.664)	lr 0.01895
Warmup Train [24][250/2134]	Time 0.658 (0.701)	Data 0.003 (0.066)	Loss 4.6101 (4.4412)	Top-1 acc 15.234 (20.425)	Top-5 acc 42.188 (42.650)	lr 0.01894
Warmup Train [24][260/2134]	Time 0.648 (0.698)	Data 0.002 (0.064)	Loss 4.5829 (4.4413)	Top-1 acc 19.531 (20.429)	Top-5 acc 38.281 (42.636)	lr 0.01893
Warmup Train [24][270/2134]	Time 0.493 (0.694)	Data 0.004 (0.061)	Loss 4.4293 (4.4406)	Top-1 acc 22.656 (20.497)	Top-5 acc 39.453 (42.678)	lr 0.01892
Warmup Train [24][280/2134]	Time 0.740 (0.691)	Data 0.002 (0.060)	Loss 4.4637 (4.4417)	Top-1 acc 20.703 (20.471)	Top-5 acc 43.750 (42.682)	lr 0.01891
Warmup Train [24][290/2134]	Time 0.676 (0.688)	Data 0.002 (0.058)	Loss 4.4274 (4.4427)	Top-1 acc 20.703 (20.456)	Top-5 acc 45.703 (42.688)	lr 0.01890
Warmup Train [24][300/2134]	Time 0.579 (0.685)	Data 0.002 (0.056)	Loss 4.5116 (4.4432)	Top-1 acc 18.359 (20.433)	Top-5 acc 41.406 (42.677)	lr 0.01890
Warmup Train [24][310/2134]	Time 0.626 (0.690)	Data 0.002 (0.054)	Loss 4.3476 (4.4440)	Top-1 acc 24.219 (20.423)	Top-5 acc 50.781 (42.648)	lr 0.01889
Warmup Train [24][320/2134]	Time 0.702 (0.687)	Data 0.002 (0.053)	Loss 4.4171 (4.4456)	Top-1 acc 20.312 (20.399)	Top-5 acc 44.141 (42.595)	lr 0.01888
Warmup Train [24][330/2134]	Time 0.683 (0.685)	Data 0.002 (0.051)	Loss 4.1729 (4.4453)	Top-1 acc 22.656 (20.393)	Top-5 acc 50.781 (42.616)	lr 0.01887
Warmup Train [24][340/2134]	Time 0.719 (0.683)	Data 0.002 (0.050)	Loss 4.3164 (4.4455)	Top-1 acc 23.438 (20.421)	Top-5 acc 47.656 (42.576)	lr 0.01886
Warmup Train [24][350/2134]	Time 0.600 (0.680)	Data 0.002 (0.049)	Loss 4.6634 (4.4455)	Top-1 acc 15.625 (20.396)	Top-5 acc 35.156 (42.550)	lr 0.01885
Warmup Train [24][360/2134]	Time 0.577 (0.678)	Data 0.005 (0.048)	Loss 4.5703 (4.4450)	Top-1 acc 16.406 (20.423)	Top-5 acc 38.672 (42.568)	lr 0.01884
Warmup Train [24][370/2134]	Time 0.622 (0.677)	Data 0.004 (0.047)	Loss 4.3549 (4.4435)	Top-1 acc 19.922 (20.429)	Top-5 acc 45.312 (42.594)	lr 0.01883
Warmup Train [24][380/2134]	Time 0.646 (0.676)	Data 0.002 (0.046)	Loss 4.2761 (4.4443)	Top-1 acc 20.312 (20.422)	Top-5 acc 44.531 (42.556)	lr 0.01882
Warmup Train [24][390/2134]	Time 0.520 (0.674)	Data 0.002 (0.045)	Loss 4.6050 (4.4455)	Top-1 acc 16.406 (20.402)	Top-5 acc 38.281 (42.503)	lr 0.01882
Warmup Train [24][400/2134]	Time 0.631 (0.673)	Data 0.003 (0.044)	Loss 4.3602 (4.4452)	Top-1 acc 19.141 (20.404)	Top-5 acc 44.141 (42.512)	lr 0.01881
Warmup Train [24][410/2134]	Time 0.695 (0.671)	Data 0.002 (0.043)	Loss 4.4197 (4.4446)	Top-1 acc 20.312 (20.413)	Top-5 acc 43.359 (42.517)	lr 0.01880
Warmup Train [24][420/2134]	Time 0.648 (0.670)	Data 0.003 (0.042)	Loss 4.4348 (4.4466)	Top-1 acc 21.484 (20.398)	Top-5 acc 43.750 (42.445)	lr 0.01879
Warmup Train [24][430/2134]	Time 0.619 (0.669)	Data 0.002 (0.041)	Loss 4.4828 (4.4458)	Top-1 acc 17.969 (20.429)	Top-5 acc 41.406 (42.465)	lr 0.01878
Warmup Train [24][440/2134]	Time 0.616 (0.668)	Data 0.002 (0.040)	Loss 4.4366 (4.4468)	Top-1 acc 19.922 (20.417)	Top-5 acc 41.016 (42.435)	lr 0.01877
Warmup Train [24][450/2134]	Time 0.605 (0.666)	Data 0.002 (0.039)	Loss 4.5190 (4.4471)	Top-1 acc 21.875 (20.418)	Top-5 acc 44.141 (42.440)	lr 0.01876
Warmup Train [24][460/2134]	Time 0.714 (0.665)	Data 0.002 (0.039)	Loss 4.2697 (4.4468)	Top-1 acc 24.609 (20.424)	Top-5 acc 46.875 (42.425)	lr 0.01875
Warmup Train [24][470/2134]	Time 0.739 (0.664)	Data 0.002 (0.038)	Loss 4.6310 (4.4470)	Top-1 acc 19.141 (20.420)	Top-5 acc 39.062 (42.410)	lr 0.01874
Warmup Train [24][480/2134]	Time 0.563 (0.663)	Data 0.003 (0.037)	Loss 4.5987 (4.4484)	Top-1 acc 19.531 (20.384)	Top-5 acc 40.234 (42.365)	lr 0.01874
Warmup Train [24][490/2134]	Time 0.637 (0.662)	Data 0.002 (0.036)	Loss 4.4214 (4.4483)	Top-1 acc 23.438 (20.393)	Top-5 acc 42.188 (42.373)	lr 0.01873
Warmup Train [24][500/2134]	Time 0.367 (0.660)	Data 0.002 (0.036)	Loss 4.3649 (4.4478)	Top-1 acc 25.000 (20.391)	Top-5 acc 46.094 (42.391)	lr 0.01872
Warmup Train [24][510/2134]	Time 0.587 (0.659)	Data 0.002 (0.035)	Loss 4.5001 (4.4484)	Top-1 acc 20.703 (20.396)	Top-5 acc 41.016 (42.385)	lr 0.01871
Warmup Train [24][520/2134]	Time 0.684 (0.657)	Data 0.002 (0.035)	Loss 4.3617 (4.4477)	Top-1 acc 23.438 (20.425)	Top-5 acc 42.578 (42.406)	lr 0.01870
Warmup Train [24][530/2134]	Time 0.534 (0.656)	Data 0.002 (0.034)	Loss 4.2850 (4.4479)	Top-1 acc 18.359 (20.422)	Top-5 acc 44.922 (42.369)	lr 0.01869
Warmup Train [24][540/2134]	Time 0.706 (0.660)	Data 0.002 (0.034)	Loss 4.3963 (4.4480)	Top-1 acc 21.094 (20.436)	Top-5 acc 44.922 (42.372)	lr 0.01868
Warmup Train [24][550/2134]	Time 0.636 (0.659)	Data 0.002 (0.033)	Loss 4.4548 (4.4465)	Top-1 acc 18.750 (20.456)	Top-5 acc 43.750 (42.398)	lr 0.01867
Warmup Train [24][560/2134]	Time 0.600 (0.658)	Data 0.002 (0.033)	Loss 4.2739 (4.4456)	Top-1 acc 23.047 (20.490)	Top-5 acc 44.531 (42.413)	lr 0.01866
Warmup Train [24][570/2134]	Time 0.635 (0.657)	Data 0.002 (0.032)	Loss 4.5177 (4.4456)	Top-1 acc 20.703 (20.504)	Top-5 acc 40.625 (42.433)	lr 0.01866
Warmup Train [24][580/2134]	Time 0.676 (0.657)	Data 0.002 (0.032)	Loss 4.3426 (4.4462)	Top-1 acc 24.219 (20.487)	Top-5 acc 48.438 (42.413)	lr 0.01865
Warmup Train [24][590/2134]	Time 0.793 (0.656)	Data 0.003 (0.031)	Loss 4.5107 (4.4456)	Top-1 acc 21.094 (20.501)	Top-5 acc 41.797 (42.433)	lr 0.01864
Warmup Train [24][600/2134]	Time 0.622 (0.655)	Data 0.002 (0.031)	Loss 4.2451 (4.4450)	Top-1 acc 23.047 (20.529)	Top-5 acc 44.922 (42.431)	lr 0.01863
Warmup Train [24][610/2134]	Time 0.619 (0.654)	Data 0.002 (0.031)	Loss 4.5193 (4.4457)	Top-1 acc 15.234 (20.500)	Top-5 acc 41.797 (42.407)	lr 0.01862
Warmup Train [24][620/2134]	Time 0.568 (0.654)	Data 0.002 (0.030)	Loss 4.3742 (4.4450)	Top-1 acc 24.219 (20.508)	Top-5 acc 42.188 (42.422)	lr 0.01861
Warmup Train [24][630/2134]	Time 0.503 (0.653)	Data 0.002 (0.030)	Loss 4.6350 (4.4446)	Top-1 acc 16.406 (20.517)	Top-5 acc 37.500 (42.423)	lr 0.01860
Warmup Train [24][640/2134]	Time 0.674 (0.653)	Data 0.003 (0.030)	Loss 4.4442 (4.4448)	Top-1 acc 22.266 (20.513)	Top-5 acc 42.969 (42.423)	lr 0.01859
Warmup Train [24][650/2134]	Time 0.759 (0.652)	Data 0.003 (0.029)	Loss 4.3524 (4.4448)	Top-1 acc 22.656 (20.518)	Top-5 acc 45.703 (42.418)	lr 0.01858
Warmup Train [24][660/2134]	Time 0.462 (0.651)	Data 0.002 (0.029)	Loss 4.5104 (4.4444)	Top-1 acc 16.797 (20.516)	Top-5 acc 40.234 (42.422)	lr 0.01858
Warmup Train [24][670/2134]	Time 0.439 (0.650)	Data 0.002 (0.029)	Loss 4.6779 (4.4448)	Top-1 acc 18.750 (20.524)	Top-5 acc 40.234 (42.409)	lr 0.01857
Warmup Train [24][680/2134]	Time 0.659 (0.650)	Data 0.002 (0.029)	Loss 4.3312 (4.4451)	Top-1 acc 25.391 (20.529)	Top-5 acc 42.969 (42.396)	lr 0.01856
Warmup Train [24][690/2134]	Time 0.654 (0.650)	Data 0.002 (0.028)	Loss 4.3308 (4.4450)	Top-1 acc 21.094 (20.535)	Top-5 acc 46.094 (42.415)	lr 0.01855
Warmup Train [24][700/2134]	Time 0.596 (0.649)	Data 0.002 (0.028)	Loss 4.3903 (4.4457)	Top-1 acc 21.094 (20.520)	Top-5 acc 42.188 (42.413)	lr 0.01854
Warmup Train [24][710/2134]	Time 0.600 (0.648)	Data 0.002 (0.028)	Loss 4.1554 (4.4449)	Top-1 acc 25.000 (20.534)	Top-5 acc 50.781 (42.438)	lr 0.01853
Warmup Train [24][720/2134]	Time 0.682 (0.647)	Data 0.003 (0.027)	Loss 4.5979 (4.4451)	Top-1 acc 19.141 (20.536)	Top-5 acc 34.766 (42.428)	lr 0.01852
Warmup Train [24][730/2134]	Time 0.606 (0.647)	Data 0.002 (0.027)	Loss 4.6754 (4.4449)	Top-1 acc 15.625 (20.543)	Top-5 acc 37.109 (42.431)	lr 0.01851
Warmup Train [24][740/2134]	Time 0.518 (0.646)	Data 0.003 (0.027)	Loss 4.4834 (4.4455)	Top-1 acc 19.141 (20.546)	Top-5 acc 40.234 (42.408)	lr 0.01850
Warmup Train [24][750/2134]	Time 0.694 (0.646)	Data 0.002 (0.027)	Loss 4.4198 (4.4452)	Top-1 acc 19.141 (20.548)	Top-5 acc 42.969 (42.426)	lr 0.01850
Warmup Train [24][760/2134]	Time 0.764 (0.645)	Data 0.002 (0.026)	Loss 4.4710 (4.4456)	Top-1 acc 20.703 (20.546)	Top-5 acc 42.969 (42.409)	lr 0.01849
Warmup Train [24][770/2134]	Time 0.690 (0.648)	Data 0.002 (0.026)	Loss 4.4340 (4.4459)	Top-1 acc 22.266 (20.537)	Top-5 acc 43.750 (42.419)	lr 0.01848
Warmup Train [24][780/2134]	Time 0.734 (0.647)	Data 0.002 (0.026)	Loss 4.4201 (4.4468)	Top-1 acc 21.094 (20.523)	Top-5 acc 43.750 (42.406)	lr 0.01847
Warmup Train [24][790/2134]	Time 0.623 (0.647)	Data 0.002 (0.026)	Loss 4.3954 (4.4466)	Top-1 acc 20.703 (20.530)	Top-5 acc 42.188 (42.406)	lr 0.01846
Warmup Train [24][800/2134]	Time 0.798 (0.646)	Data 0.002 (0.025)	Loss 4.6298 (4.4473)	Top-1 acc 16.797 (20.520)	Top-5 acc 36.328 (42.404)	lr 0.01845
Warmup Train [24][810/2134]	Time 0.535 (0.646)	Data 0.003 (0.025)	Loss 4.4018 (4.4470)	Top-1 acc 17.578 (20.514)	Top-5 acc 46.094 (42.417)	lr 0.01844
Warmup Train [24][820/2134]	Time 0.635 (0.645)	Data 0.002 (0.025)	Loss 4.3923 (4.4467)	Top-1 acc 21.094 (20.518)	Top-5 acc 46.484 (42.428)	lr 0.01843
Warmup Train [24][830/2134]	Time 0.734 (0.645)	Data 0.002 (0.025)	Loss 4.3232 (4.4460)	Top-1 acc 22.266 (20.526)	Top-5 acc 46.484 (42.443)	lr 0.01842
Warmup Train [24][840/2134]	Time 0.622 (0.645)	Data 0.002 (0.024)	Loss 4.4088 (4.4459)	Top-1 acc 21.094 (20.527)	Top-5 acc 43.359 (42.452)	lr 0.01842
Warmup Train [24][850/2134]	Time 0.759 (0.644)	Data 0.002 (0.024)	Loss 4.4356 (4.4452)	Top-1 acc 18.750 (20.535)	Top-5 acc 46.484 (42.462)	lr 0.01841
Warmup Train [24][860/2134]	Time 0.659 (0.644)	Data 0.002 (0.024)	Loss 4.4757 (4.4453)	Top-1 acc 21.875 (20.539)	Top-5 acc 41.016 (42.466)	lr 0.01840
Warmup Train [24][870/2134]	Time 0.665 (0.644)	Data 0.002 (0.024)	Loss 4.7109 (4.4451)	Top-1 acc 14.453 (20.535)	Top-5 acc 35.156 (42.468)	lr 0.01839
Warmup Train [24][880/2134]	Time 0.577 (0.643)	Data 0.002 (0.023)	Loss 4.5553 (4.4452)	Top-1 acc 20.312 (20.543)	Top-5 acc 39.453 (42.473)	lr 0.01838
Warmup Train [24][890/2134]	Time 0.608 (0.643)	Data 0.028 (0.023)	Loss 4.3787 (4.4446)	Top-1 acc 20.312 (20.552)	Top-5 acc 41.016 (42.497)	lr 0.01837
Warmup Train [24][900/2134]	Time 0.572 (0.642)	Data 0.003 (0.023)	Loss 4.3743 (4.4447)	Top-1 acc 21.094 (20.552)	Top-5 acc 42.188 (42.494)	lr 0.01836
Warmup Train [24][910/2134]	Time 0.317 (0.642)	Data 0.002 (0.023)	Loss 4.6998 (4.4448)	Top-1 acc 16.406 (20.545)	Top-5 acc 36.719 (42.487)	lr 0.01835
Warmup Train [24][920/2134]	Time 0.576 (0.641)	Data 0.002 (0.023)	Loss 4.5609 (4.4449)	Top-1 acc 19.531 (20.541)	Top-5 acc 41.016 (42.481)	lr 0.01834
Warmup Train [24][930/2134]	Time 0.545 (0.641)	Data 0.003 (0.023)	Loss 4.6026 (4.4450)	Top-1 acc 18.750 (20.532)	Top-5 acc 42.969 (42.482)	lr 0.01834
Warmup Train [24][940/2134]	Time 0.487 (0.641)	Data 0.003 (0.023)	Loss 4.4952 (4.4450)	Top-1 acc 15.234 (20.532)	Top-5 acc 41.797 (42.468)	lr 0.01833
Warmup Train [24][950/2134]	Time 0.603 (0.640)	Data 0.002 (0.022)	Loss 4.5189 (4.4455)	Top-1 acc 18.359 (20.525)	Top-5 acc 39.453 (42.463)	lr 0.01832
Warmup Train [24][960/2134]	Time 0.645 (0.640)	Data 0.002 (0.022)	Loss 4.4070 (4.4457)	Top-1 acc 22.266 (20.533)	Top-5 acc 43.750 (42.461)	lr 0.01831
Warmup Train [24][970/2134]	Time 0.585 (0.640)	Data 0.002 (0.022)	Loss 4.4055 (4.4455)	Top-1 acc 19.531 (20.524)	Top-5 acc 43.359 (42.467)	lr 0.01830
Warmup Train [24][980/2134]	Time 0.582 (0.639)	Data 0.002 (0.022)	Loss 4.3546 (4.4453)	Top-1 acc 21.875 (20.530)	Top-5 acc 42.188 (42.466)	lr 0.01829
Warmup Train [24][990/2134]	Time 0.655 (0.639)	Data 0.002 (0.022)	Loss 4.2104 (4.4448)	Top-1 acc 26.172 (20.532)	Top-5 acc 48.438 (42.478)	lr 0.01828
Warmup Train [24][1000/2134]	Time 0.467 (0.641)	Data 0.002 (0.022)	Loss 4.4139 (4.4449)	Top-1 acc 23.438 (20.535)	Top-5 acc 43.359 (42.478)	lr 0.01827
Warmup Train [24][1010/2134]	Time 0.613 (0.641)	Data 0.002 (0.022)	Loss 4.4124 (4.4452)	Top-1 acc 19.141 (20.531)	Top-5 acc 40.625 (42.472)	lr 0.01826
Warmup Train [24][1020/2134]	Time 0.449 (0.640)	Data 0.003 (0.021)	Loss 4.4583 (4.4454)	Top-1 acc 22.266 (20.525)	Top-5 acc 41.797 (42.471)	lr 0.01826
Warmup Train [24][1030/2134]	Time 0.531 (0.640)	Data 0.004 (0.021)	Loss 4.6006 (4.4457)	Top-1 acc 21.094 (20.530)	Top-5 acc 38.281 (42.455)	lr 0.01825
Warmup Train [24][1040/2134]	Time 0.466 (0.640)	Data 0.002 (0.021)	Loss 4.4855 (4.4462)	Top-1 acc 19.141 (20.528)	Top-5 acc 42.188 (42.439)	lr 0.01824
Warmup Train [24][1050/2134]	Time 0.649 (0.640)	Data 0.002 (0.021)	Loss 4.3086 (4.4459)	Top-1 acc 21.875 (20.540)	Top-5 acc 44.141 (42.438)	lr 0.01823
Warmup Train [24][1060/2134]	Time 0.626 (0.639)	Data 0.002 (0.021)	Loss 4.6927 (4.4460)	Top-1 acc 15.625 (20.529)	Top-5 acc 37.109 (42.433)	lr 0.01822
Warmup Train [24][1070/2134]	Time 0.596 (0.639)	Data 0.002 (0.021)	Loss 4.3864 (4.4460)	Top-1 acc 18.750 (20.535)	Top-5 acc 41.016 (42.430)	lr 0.01821
Warmup Train [24][1080/2134]	Time 0.755 (0.639)	Data 0.002 (0.021)	Loss 4.4297 (4.4458)	Top-1 acc 23.438 (20.543)	Top-5 acc 42.188 (42.436)	lr 0.01820
Warmup Train [24][1090/2134]	Time 0.517 (0.639)	Data 0.003 (0.021)	Loss 4.4211 (4.4457)	Top-1 acc 18.359 (20.542)	Top-5 acc 42.188 (42.437)	lr 0.01819
Warmup Train [24][1100/2134]	Time 0.687 (0.639)	Data 0.003 (0.021)	Loss 4.4221 (4.4456)	Top-1 acc 20.703 (20.542)	Top-5 acc 46.484 (42.440)	lr 0.01819
Warmup Train [24][1110/2134]	Time 0.662 (0.638)	Data 0.002 (0.021)	Loss 4.3832 (4.4456)	Top-1 acc 19.922 (20.538)	Top-5 acc 45.703 (42.439)	lr 0.01818
Warmup Train [24][1120/2134]	Time 0.718 (0.638)	Data 0.002 (0.020)	Loss 4.2753 (4.4456)	Top-1 acc 23.438 (20.528)	Top-5 acc 45.312 (42.438)	lr 0.01817
Warmup Train [24][1130/2134]	Time 0.618 (0.638)	Data 0.002 (0.020)	Loss 4.5191 (4.4458)	Top-1 acc 19.141 (20.523)	Top-5 acc 42.578 (42.435)	lr 0.01816
Warmup Train [24][1140/2134]	Time 0.725 (0.637)	Data 0.002 (0.020)	Loss 4.3694 (4.4458)	Top-1 acc 24.609 (20.530)	Top-5 acc 43.359 (42.440)	lr 0.01815
Warmup Train [24][1150/2134]	Time 0.537 (0.637)	Data 0.002 (0.020)	Loss 4.4907 (4.4458)	Top-1 acc 18.750 (20.525)	Top-5 acc 37.891 (42.433)	lr 0.01814
Warmup Train [24][1160/2134]	Time 0.621 (0.637)	Data 0.003 (0.020)	Loss 4.4432 (4.4456)	Top-1 acc 18.359 (20.523)	Top-5 acc 39.844 (42.443)	lr 0.01813
Warmup Train [24][1170/2134]	Time 0.618 (0.637)	Data 0.002 (0.020)	Loss 4.4751 (4.4457)	Top-1 acc 19.922 (20.520)	Top-5 acc 43.359 (42.441)	lr 0.01812
Warmup Train [24][1180/2134]	Time 0.629 (0.636)	Data 0.002 (0.020)	Loss 4.1818 (4.4451)	Top-1 acc 23.047 (20.527)	Top-5 acc 46.094 (42.446)	lr 0.01811
Warmup Train [24][1190/2134]	Time 0.616 (0.636)	Data 0.002 (0.020)	Loss 4.3226 (4.4450)	Top-1 acc 23.047 (20.522)	Top-5 acc 44.141 (42.453)	lr 0.01811
Warmup Train [24][1200/2134]	Time 0.614 (0.636)	Data 0.002 (0.019)	Loss 4.5705 (4.4450)	Top-1 acc 18.750 (20.519)	Top-5 acc 38.672 (42.446)	lr 0.01810
Warmup Train [24][1210/2134]	Time 0.634 (0.636)	Data 0.003 (0.019)	Loss 4.3729 (4.4454)	Top-1 acc 19.141 (20.517)	Top-5 acc 40.625 (42.437)	lr 0.01809
Warmup Train [24][1220/2134]	Time 2.922 (0.638)	Data 0.002 (0.019)	Loss 4.4832 (4.4452)	Top-1 acc 20.312 (20.517)	Top-5 acc 45.312 (42.446)	lr 0.01808
Warmup Train [24][1230/2134]	Time 0.437 (0.638)	Data 0.002 (0.019)	Loss 4.3670 (4.4449)	Top-1 acc 16.797 (20.521)	Top-5 acc 39.844 (42.456)	lr 0.01807
Warmup Train [24][1240/2134]	Time 0.618 (0.638)	Data 0.002 (0.019)	Loss 4.2988 (4.4443)	Top-1 acc 22.266 (20.532)	Top-5 acc 44.531 (42.471)	lr 0.01806
Warmup Train [24][1250/2134]	Time 0.686 (0.637)	Data 0.004 (0.019)	Loss 4.6132 (4.4443)	Top-1 acc 19.531 (20.538)	Top-5 acc 38.672 (42.478)	lr 0.01805
Warmup Train [24][1260/2134]	Time 0.642 (0.637)	Data 0.002 (0.019)	Loss 4.3920 (4.4442)	Top-1 acc 21.875 (20.546)	Top-5 acc 45.703 (42.479)	lr 0.01804
Warmup Train [24][1270/2134]	Time 0.596 (0.637)	Data 0.002 (0.019)	Loss 4.3186 (4.4438)	Top-1 acc 23.828 (20.554)	Top-5 acc 45.312 (42.485)	lr 0.01803
Warmup Train [24][1280/2134]	Time 0.708 (0.637)	Data 0.002 (0.019)	Loss 4.2336 (4.4443)	Top-1 acc 24.219 (20.551)	Top-5 acc 47.656 (42.483)	lr 0.01803
Warmup Train [24][1290/2134]	Time 0.597 (0.636)	Data 0.002 (0.019)	Loss 4.6047 (4.4439)	Top-1 acc 20.703 (20.554)	Top-5 acc 37.500 (42.484)	lr 0.01802
Warmup Train [24][1300/2134]	Time 0.751 (0.636)	Data 0.002 (0.019)	Loss 4.4848 (4.4443)	Top-1 acc 20.703 (20.553)	Top-5 acc 39.453 (42.482)	lr 0.01801
Warmup Train [24][1310/2134]	Time 0.530 (0.636)	Data 0.002 (0.018)	Loss 4.5483 (4.4446)	Top-1 acc 18.750 (20.551)	Top-5 acc 37.500 (42.471)	lr 0.01800
Warmup Train [24][1320/2134]	Time 0.772 (0.636)	Data 0.004 (0.018)	Loss 4.5983 (4.4452)	Top-1 acc 19.922 (20.550)	Top-5 acc 39.062 (42.458)	lr 0.01799
Warmup Train [24][1330/2134]	Time 0.673 (0.636)	Data 0.002 (0.018)	Loss 4.3597 (4.4449)	Top-1 acc 23.047 (20.549)	Top-5 acc 44.922 (42.462)	lr 0.01798
Warmup Train [24][1340/2134]	Time 0.549 (0.635)	Data 0.002 (0.018)	Loss 4.5229 (4.4449)	Top-1 acc 16.797 (20.554)	Top-5 acc 39.453 (42.462)	lr 0.01797
Warmup Train [24][1350/2134]	Time 0.642 (0.635)	Data 0.002 (0.018)	Loss 4.4183 (4.4447)	Top-1 acc 21.484 (20.556)	Top-5 acc 42.188 (42.468)	lr 0.01796
Warmup Train [24][1360/2134]	Time 0.581 (0.635)	Data 0.002 (0.018)	Loss 4.6288 (4.4445)	Top-1 acc 18.750 (20.558)	Top-5 acc 32.031 (42.476)	lr 0.01796
Warmup Train [24][1370/2134]	Time 0.604 (0.635)	Data 0.002 (0.018)	Loss 4.4959 (4.4441)	Top-1 acc 21.094 (20.568)	Top-5 acc 44.922 (42.487)	lr 0.01795
Warmup Train [24][1380/2134]	Time 0.723 (0.635)	Data 0.002 (0.018)	Loss 4.4600 (4.4439)	Top-1 acc 19.141 (20.567)	Top-5 acc 44.531 (42.492)	lr 0.01794
Warmup Train [24][1390/2134]	Time 0.607 (0.635)	Data 0.002 (0.018)	Loss 4.4450 (4.4440)	Top-1 acc 21.094 (20.567)	Top-5 acc 41.406 (42.497)	lr 0.01793
Warmup Train [24][1400/2134]	Time 0.523 (0.634)	Data 0.002 (0.018)	Loss 4.4836 (4.4445)	Top-1 acc 20.312 (20.561)	Top-5 acc 43.750 (42.479)	lr 0.01792
Warmup Train [24][1410/2134]	Time 0.635 (0.634)	Data 0.002 (0.018)	Loss 4.3994 (4.4450)	Top-1 acc 18.359 (20.552)	Top-5 acc 41.016 (42.466)	lr 0.01791
Warmup Train [24][1420/2134]	Time 0.627 (0.634)	Data 0.002 (0.018)	Loss 4.4611 (4.4450)	Top-1 acc 18.359 (20.547)	Top-5 acc 45.703 (42.466)	lr 0.01790
Warmup Train [24][1430/2134]	Time 0.565 (0.634)	Data 0.003 (0.018)	Loss 4.3132 (4.4443)	Top-1 acc 20.312 (20.560)	Top-5 acc 44.531 (42.487)	lr 0.01789
Warmup Train [24][1440/2134]	Time 0.560 (0.634)	Data 0.002 (0.018)	Loss 4.5078 (4.4443)	Top-1 acc 21.484 (20.564)	Top-5 acc 41.016 (42.486)	lr 0.01788
Warmup Train [24][1450/2134]	Time 0.626 (0.635)	Data 0.003 (0.018)	Loss 4.3014 (4.4445)	Top-1 acc 22.266 (20.562)	Top-5 acc 48.828 (42.489)	lr 0.01788
Warmup Train [24][1460/2134]	Time 0.674 (0.635)	Data 0.002 (0.017)	Loss 4.2335 (4.4443)	Top-1 acc 23.438 (20.561)	Top-5 acc 48.047 (42.494)	lr 0.01787
Warmup Train [24][1470/2134]	Time 0.655 (0.635)	Data 0.002 (0.017)	Loss 4.5784 (4.4444)	Top-1 acc 17.969 (20.558)	Top-5 acc 41.016 (42.493)	lr 0.01786
Warmup Train [24][1480/2134]	Time 0.593 (0.634)	Data 0.002 (0.017)	Loss 4.6479 (4.4446)	Top-1 acc 19.141 (20.558)	Top-5 acc 41.016 (42.495)	lr 0.01785
Warmup Train [24][1490/2134]	Time 0.699 (0.634)	Data 0.002 (0.017)	Loss 4.4944 (4.4442)	Top-1 acc 23.047 (20.565)	Top-5 acc 42.969 (42.508)	lr 0.01784
Warmup Train [24][1500/2134]	Time 0.546 (0.634)	Data 0.002 (0.017)	Loss 4.4231 (4.4447)	Top-1 acc 20.312 (20.555)	Top-5 acc 41.016 (42.494)	lr 0.01783
Warmup Train [24][1510/2134]	Time 0.582 (0.633)	Data 0.004 (0.017)	Loss 4.2596 (4.4445)	Top-1 acc 22.266 (20.554)	Top-5 acc 46.094 (42.497)	lr 0.01782
Warmup Train [24][1520/2134]	Time 0.437 (0.633)	Data 0.002 (0.017)	Loss 4.3806 (4.4444)	Top-1 acc 20.703 (20.558)	Top-5 acc 44.922 (42.496)	lr 0.01781
Warmup Train [24][1530/2134]	Time 0.626 (0.633)	Data 0.003 (0.017)	Loss 4.2914 (4.4438)	Top-1 acc 24.609 (20.570)	Top-5 acc 48.438 (42.508)	lr 0.01781
Warmup Train [24][1540/2134]	Time 0.530 (0.633)	Data 0.002 (0.017)	Loss 4.3873 (4.4437)	Top-1 acc 18.750 (20.571)	Top-5 acc 44.922 (42.515)	lr 0.01780
Warmup Train [24][1550/2134]	Time 0.673 (0.633)	Data 0.003 (0.017)	Loss 4.2031 (4.4434)	Top-1 acc 23.828 (20.576)	Top-5 acc 49.609 (42.524)	lr 0.01779
Warmup Train [24][1560/2134]	Time 0.418 (0.633)	Data 0.002 (0.017)	Loss 4.4366 (4.4436)	Top-1 acc 22.266 (20.578)	Top-5 acc 44.531 (42.525)	lr 0.01778
Warmup Train [24][1570/2134]	Time 0.574 (0.633)	Data 0.003 (0.017)	Loss 4.5178 (4.4438)	Top-1 acc 17.578 (20.576)	Top-5 acc 42.188 (42.525)	lr 0.01777
Warmup Train [24][1580/2134]	Time 0.476 (0.633)	Data 0.002 (0.017)	Loss 4.4360 (4.4437)	Top-1 acc 24.219 (20.575)	Top-5 acc 45.312 (42.527)	lr 0.01776
Warmup Train [24][1590/2134]	Time 0.493 (0.633)	Data 0.002 (0.017)	Loss 4.4382 (4.4435)	Top-1 acc 19.922 (20.572)	Top-5 acc 42.578 (42.535)	lr 0.01775
Warmup Train [24][1600/2134]	Time 0.680 (0.633)	Data 0.002 (0.017)	Loss 4.6503 (4.4434)	Top-1 acc 16.016 (20.573)	Top-5 acc 36.719 (42.540)	lr 0.01774
Warmup Train [24][1610/2134]	Time 0.574 (0.632)	Data 0.002 (0.017)	Loss 4.5259 (4.4435)	Top-1 acc 14.844 (20.574)	Top-5 acc 36.719 (42.538)	lr 0.01774
Warmup Train [24][1620/2134]	Time 0.651 (0.632)	Data 0.003 (0.017)	Loss 4.3493 (4.4432)	Top-1 acc 19.531 (20.582)	Top-5 acc 46.484 (42.542)	lr 0.01773
Warmup Train [24][1630/2134]	Time 0.645 (0.632)	Data 0.002 (0.017)	Loss 4.4507 (4.4433)	Top-1 acc 23.828 (20.588)	Top-5 acc 42.188 (42.546)	lr 0.01772
Warmup Train [24][1640/2134]	Time 0.714 (0.632)	Data 0.004 (0.017)	Loss 4.5040 (4.4434)	Top-1 acc 19.141 (20.587)	Top-5 acc 40.234 (42.540)	lr 0.01771
Warmup Train [24][1650/2134]	Time 0.598 (0.632)	Data 0.002 (0.017)	Loss 4.4871 (4.4436)	Top-1 acc 19.531 (20.587)	Top-5 acc 39.844 (42.527)	lr 0.01770
Warmup Train [24][1660/2134]	Time 0.776 (0.632)	Data 0.002 (0.016)	Loss 4.0496 (4.4435)	Top-1 acc 30.469 (20.586)	Top-5 acc 51.172 (42.531)	lr 0.01769
Warmup Train [24][1670/2134]	Time 0.732 (0.632)	Data 0.002 (0.016)	Loss 4.4932 (4.4436)	Top-1 acc 19.922 (20.587)	Top-5 acc 41.016 (42.528)	lr 0.01768
Warmup Train [24][1680/2134]	Time 0.617 (0.633)	Data 0.002 (0.016)	Loss 4.5936 (4.4437)	Top-1 acc 18.750 (20.591)	Top-5 acc 37.891 (42.529)	lr 0.01767
Warmup Train [24][1690/2134]	Time 0.614 (0.633)	Data 0.002 (0.016)	Loss 4.3642 (4.4436)	Top-1 acc 22.266 (20.590)	Top-5 acc 49.219 (42.532)	lr 0.01766
Warmup Train [24][1700/2134]	Time 0.299 (0.633)	Data 0.002 (0.016)	Loss 4.5529 (4.4438)	Top-1 acc 16.016 (20.593)	Top-5 acc 37.891 (42.528)	lr 0.01766
Warmup Train [24][1710/2134]	Time 0.394 (0.632)	Data 0.002 (0.016)	Loss 4.4323 (4.4437)	Top-1 acc 19.922 (20.596)	Top-5 acc 40.625 (42.532)	lr 0.01765
Warmup Train [24][1720/2134]	Time 0.714 (0.632)	Data 0.002 (0.016)	Loss 4.5058 (4.4436)	Top-1 acc 21.875 (20.593)	Top-5 acc 37.109 (42.532)	lr 0.01764
Warmup Train [24][1730/2134]	Time 0.677 (0.632)	Data 0.002 (0.016)	Loss 4.3239 (4.4436)	Top-1 acc 23.828 (20.595)	Top-5 acc 46.875 (42.537)	lr 0.01763
Warmup Train [24][1740/2134]	Time 0.597 (0.632)	Data 0.002 (0.016)	Loss 4.5108 (4.4434)	Top-1 acc 19.922 (20.594)	Top-5 acc 40.234 (42.539)	lr 0.01762
Warmup Train [24][1750/2134]	Time 0.664 (0.632)	Data 0.002 (0.016)	Loss 4.5333 (4.4434)	Top-1 acc 17.188 (20.596)	Top-5 acc 40.625 (42.541)	lr 0.01761
Warmup Train [24][1760/2134]	Time 0.650 (0.632)	Data 0.003 (0.016)	Loss 4.4393 (4.4432)	Top-1 acc 20.703 (20.603)	Top-5 acc 42.969 (42.544)	lr 0.01760
Warmup Train [24][1770/2134]	Time 0.675 (0.632)	Data 0.002 (0.016)	Loss 4.4521 (4.4433)	Top-1 acc 19.531 (20.606)	Top-5 acc 44.141 (42.543)	lr 0.01759
Warmup Train [24][1780/2134]	Time 0.589 (0.632)	Data 0.003 (0.016)	Loss 4.4392 (4.4431)	Top-1 acc 23.828 (20.612)	Top-5 acc 45.703 (42.554)	lr 0.01759
Warmup Train [24][1790/2134]	Time 0.621 (0.632)	Data 0.002 (0.016)	Loss 4.3387 (4.4431)	Top-1 acc 24.219 (20.617)	Top-5 acc 45.703 (42.553)	lr 0.01758
Warmup Train [24][1800/2134]	Time 0.675 (0.631)	Data 0.002 (0.016)	Loss 4.4752 (4.4426)	Top-1 acc 19.922 (20.622)	Top-5 acc 39.453 (42.558)	lr 0.01757
Warmup Train [24][1810/2134]	Time 0.679 (0.631)	Data 0.002 (0.016)	Loss 4.5418 (4.4427)	Top-1 acc 19.531 (20.621)	Top-5 acc 42.188 (42.559)	lr 0.01756
Warmup Train [24][1820/2134]	Time 0.638 (0.631)	Data 0.002 (0.015)	Loss 4.4045 (4.4428)	Top-1 acc 19.922 (20.621)	Top-5 acc 42.969 (42.556)	lr 0.01755
Warmup Train [24][1830/2134]	Time 0.591 (0.631)	Data 0.003 (0.015)	Loss 4.4677 (4.4432)	Top-1 acc 20.703 (20.618)	Top-5 acc 41.406 (42.553)	lr 0.01754
Warmup Train [24][1840/2134]	Time 0.569 (0.631)	Data 0.002 (0.015)	Loss 4.4201 (4.4430)	Top-1 acc 22.266 (20.621)	Top-5 acc 45.312 (42.557)	lr 0.01753
Warmup Train [24][1850/2134]	Time 0.669 (0.631)	Data 0.002 (0.015)	Loss 4.5828 (4.4428)	Top-1 acc 14.844 (20.622)	Top-5 acc 33.984 (42.560)	lr 0.01752
Warmup Train [24][1860/2134]	Time 0.684 (0.631)	Data 0.002 (0.015)	Loss 4.4904 (4.4427)	Top-1 acc 20.312 (20.624)	Top-5 acc 41.797 (42.564)	lr 0.01752
Warmup Train [24][1870/2134]	Time 0.662 (0.630)	Data 0.002 (0.015)	Loss 4.2997 (4.4424)	Top-1 acc 24.609 (20.625)	Top-5 acc 48.438 (42.577)	lr 0.01751
Warmup Train [24][1880/2134]	Time 0.635 (0.630)	Data 0.002 (0.015)	Loss 4.3980 (4.4423)	Top-1 acc 20.703 (20.626)	Top-5 acc 42.969 (42.582)	lr 0.01750
Warmup Train [24][1890/2134]	Time 0.647 (0.630)	Data 0.002 (0.015)	Loss 4.2941 (4.4420)	Top-1 acc 20.312 (20.629)	Top-5 acc 45.312 (42.589)	lr 0.01749
Warmup Train [24][1900/2134]	Time 0.495 (0.630)	Data 0.002 (0.015)	Loss 4.3754 (4.4422)	Top-1 acc 19.531 (20.626)	Top-5 acc 42.578 (42.585)	lr 0.01748
Warmup Train [24][1910/2134]	Time 0.493 (0.631)	Data 0.002 (0.015)	Loss 4.4934 (4.4419)	Top-1 acc 21.094 (20.631)	Top-5 acc 40.625 (42.591)	lr 0.01747
Warmup Train [24][1920/2134]	Time 0.519 (0.631)	Data 0.002 (0.015)	Loss 4.2361 (4.4418)	Top-1 acc 25.781 (20.638)	Top-5 acc 46.875 (42.599)	lr 0.01746
Warmup Train [24][1930/2134]	Time 0.528 (0.631)	Data 0.002 (0.015)	Loss 4.4912 (4.4417)	Top-1 acc 18.359 (20.643)	Top-5 acc 42.188 (42.598)	lr 0.01745
Warmup Train [24][1940/2134]	Time 0.564 (0.631)	Data 0.002 (0.015)	Loss 4.4570 (4.4418)	Top-1 acc 21.094 (20.644)	Top-5 acc 44.531 (42.602)	lr 0.01745
Warmup Train [24][1950/2134]	Time 0.701 (0.631)	Data 0.002 (0.015)	Loss 4.2663 (4.4413)	Top-1 acc 24.609 (20.656)	Top-5 acc 44.531 (42.615)	lr 0.01744
Warmup Train [24][1960/2134]	Time 0.616 (0.631)	Data 0.003 (0.015)	Loss 4.5597 (4.4412)	Top-1 acc 19.141 (20.660)	Top-5 acc 37.891 (42.617)	lr 0.01743
Warmup Train [24][1970/2134]	Time 0.548 (0.630)	Data 0.002 (0.015)	Loss 4.3454 (4.4413)	Top-1 acc 23.047 (20.660)	Top-5 acc 47.266 (42.613)	lr 0.01742
Warmup Train [24][1980/2134]	Time 0.791 (0.630)	Data 0.002 (0.015)	Loss 4.3163 (4.4413)	Top-1 acc 22.266 (20.659)	Top-5 acc 45.312 (42.613)	lr 0.01741
Warmup Train [24][1990/2134]	Time 0.591 (0.630)	Data 0.002 (0.015)	Loss 4.4589 (4.4409)	Top-1 acc 19.141 (20.666)	Top-5 acc 40.625 (42.614)	lr 0.01740
Warmup Train [24][2000/2134]	Time 0.637 (0.630)	Data 0.002 (0.015)	Loss 4.2138 (4.4406)	Top-1 acc 23.438 (20.668)	Top-5 acc 48.438 (42.624)	lr 0.01739
Warmup Train [24][2010/2134]	Time 0.649 (0.630)	Data 0.002 (0.015)	Loss 4.2211 (4.4403)	Top-1 acc 22.266 (20.670)	Top-5 acc 46.875 (42.628)	lr 0.01738
Warmup Train [24][2020/2134]	Time 0.621 (0.630)	Data 0.002 (0.015)	Loss 4.5041 (4.4401)	Top-1 acc 18.359 (20.669)	Top-5 acc 42.188 (42.636)	lr 0.01738
Warmup Train [24][2030/2134]	Time 0.487 (0.630)	Data 0.002 (0.015)	Loss 4.3542 (4.4399)	Top-1 acc 24.219 (20.678)	Top-5 acc 44.531 (42.644)	lr 0.01737
Warmup Train [24][2040/2134]	Time 0.557 (0.630)	Data 0.002 (0.015)	Loss 4.5260 (4.4400)	Top-1 acc 17.188 (20.671)	Top-5 acc 41.016 (42.642)	lr 0.01736
Warmup Train [24][2050/2134]	Time 0.733 (0.630)	Data 0.002 (0.015)	Loss 4.5520 (4.4401)	Top-1 acc 15.625 (20.670)	Top-5 acc 41.797 (42.639)	lr 0.01735
Warmup Train [24][2060/2134]	Time 0.633 (0.630)	Data 0.003 (0.015)	Loss 4.4813 (4.4399)	Top-1 acc 17.188 (20.675)	Top-5 acc 37.891 (42.638)	lr 0.01734
Warmup Train [24][2070/2134]	Time 0.536 (0.630)	Data 0.002 (0.014)	Loss 4.4239 (4.4397)	Top-1 acc 21.484 (20.677)	Top-5 acc 42.188 (42.640)	lr 0.01733
Warmup Train [24][2080/2134]	Time 0.574 (0.630)	Data 0.000 (0.014)	Loss 4.4558 (4.4395)	Top-1 acc 22.266 (20.676)	Top-5 acc 40.234 (42.643)	lr 0.01732
Warmup Train [24][2090/2134]	Time 0.470 (0.629)	Data 0.000 (0.014)	Loss 4.5577 (4.4395)	Top-1 acc 19.922 (20.678)	Top-5 acc 40.234 (42.647)	lr 0.01731
Warmup Train [24][2100/2134]	Time 0.517 (0.629)	Data 0.000 (0.014)	Loss 4.5797 (4.4396)	Top-1 acc 16.406 (20.673)	Top-5 acc 38.281 (42.643)	lr 0.01731
Warmup Train [24][2110/2134]	Time 0.629 (0.629)	Data 0.000 (0.014)	Loss 4.3101 (4.4393)	Top-1 acc 23.438 (20.680)	Top-5 acc 44.531 (42.653)	lr 0.01730
Warmup Train [24][2120/2134]	Time 0.594 (0.628)	Data 0.000 (0.014)	Loss 4.6037 (4.4391)	Top-1 acc 20.312 (20.685)	Top-5 acc 39.453 (42.663)	lr 0.01729
Warmup Train [24][2130/2134]	Time 0.628 (0.628)	Data 0.000 (0.014)	Loss 4.2281 (4.4390)	Top-1 acc 26.172 (20.690)	Top-5 acc 46.094 (42.665)	lr 0.01728
Warmup Train [24][2134/2134]	Time 2.768 (0.629)	Data 0.000 (0.014)	Loss 4.6701 (4.4390)	Top-1 acc 19.786 (20.690)	Top-5 acc 37.968 (42.666)	lr 0.01728
==========Warmup Valid [24/40]	loss 3.490	top-1 acc 27.806	top-5 acc 52.784	Train top-1 20.690	top-5 42.666	flops: 442.4M
Warmup Train [25][0/2134]	Time 14.795 (14.795)	Data 12.436 (12.436)	Loss 4.5622 (4.5622)	Top-1 acc 19.531 (19.531)	Top-5 acc 40.625 (40.625)	lr 0.01727
Warmup Train [25][10/2134]	Time 0.611 (2.056)	Data 0.003 (1.134)	Loss 4.4092 (4.4030)	Top-1 acc 19.531 (21.236)	Top-5 acc 45.703 (44.602)	lr 0.01727
Warmup Train [25][20/2134]	Time 0.584 (1.362)	Data 0.002 (0.596)	Loss 4.4844 (4.4039)	Top-1 acc 22.266 (21.875)	Top-5 acc 46.875 (44.717)	lr 0.01726
Warmup Train [25][30/2134]	Time 0.575 (1.123)	Data 0.002 (0.406)	Loss 4.3097 (4.3996)	Top-1 acc 23.047 (21.862)	Top-5 acc 45.312 (44.380)	lr 0.01725
Warmup Train [25][40/2134]	Time 0.701 (0.996)	Data 0.003 (0.309)	Loss 4.6088 (4.4044)	Top-1 acc 16.797 (21.665)	Top-5 acc 37.109 (44.083)	lr 0.01724
Warmup Train [25][50/2134]	Time 0.347 (0.918)	Data 0.003 (0.250)	Loss 4.2534 (4.4017)	Top-1 acc 24.219 (21.684)	Top-5 acc 46.094 (44.033)	lr 0.01723
Warmup Train [25][60/2134]	Time 0.684 (0.868)	Data 0.002 (0.212)	Loss 4.2919 (4.3938)	Top-1 acc 20.312 (21.734)	Top-5 acc 44.922 (44.083)	lr 0.01722
Warmup Train [25][70/2134]	Time 0.652 (0.835)	Data 0.002 (0.183)	Loss 4.4068 (4.3974)	Top-1 acc 16.797 (21.578)	Top-5 acc 44.141 (43.888)	lr 0.01721
Warmup Train [25][80/2134]	Time 0.726 (0.807)	Data 0.002 (0.161)	Loss 4.5429 (4.4035)	Top-1 acc 23.438 (21.566)	Top-5 acc 39.844 (43.726)	lr 0.01720
Warmup Train [25][90/2134]	Time 0.694 (0.788)	Data 0.004 (0.143)	Loss 4.3839 (4.4056)	Top-1 acc 23.047 (21.497)	Top-5 acc 42.578 (43.703)	lr 0.01720
Warmup Train [25][100/2134]	Time 0.743 (0.773)	Data 0.002 (0.129)	Loss 4.3108 (4.4079)	Top-1 acc 23.438 (21.411)	Top-5 acc 46.094 (43.653)	lr 0.01719
Warmup Train [25][110/2134]	Time 0.454 (0.757)	Data 0.003 (0.118)	Loss 4.5373 (4.4079)	Top-1 acc 19.922 (21.520)	Top-5 acc 37.109 (43.578)	lr 0.01718
Warmup Train [25][120/2134]	Time 0.416 (0.746)	Data 0.002 (0.110)	Loss 4.3504 (4.4094)	Top-1 acc 22.656 (21.539)	Top-5 acc 40.625 (43.582)	lr 0.01717
Warmup Train [25][130/2134]	Time 0.624 (0.735)	Data 0.002 (0.103)	Loss 4.4531 (4.4106)	Top-1 acc 21.484 (21.499)	Top-5 acc 42.969 (43.544)	lr 0.01716
Warmup Train [25][140/2134]	Time 0.613 (0.728)	Data 0.002 (0.097)	Loss 4.1492 (4.4074)	Top-1 acc 24.219 (21.551)	Top-5 acc 55.469 (43.617)	lr 0.01715
Warmup Train [25][150/2134]	Time 0.726 (0.722)	Data 0.003 (0.091)	Loss 4.4141 (4.4053)	Top-1 acc 19.531 (21.583)	Top-5 acc 42.578 (43.608)	lr 0.01714
Warmup Train [25][160/2134]	Time 0.615 (0.715)	Data 0.002 (0.085)	Loss 4.2865 (4.4057)	Top-1 acc 24.609 (21.584)	Top-5 acc 46.875 (43.619)	lr 0.01713
Warmup Train [25][170/2134]	Time 0.592 (0.709)	Data 0.002 (0.081)	Loss 4.4316 (4.4054)	Top-1 acc 20.312 (21.535)	Top-5 acc 43.750 (43.588)	lr 0.01713
Warmup Train [25][180/2134]	Time 0.495 (0.704)	Data 0.004 (0.077)	Loss 4.4794 (4.4046)	Top-1 acc 19.531 (21.564)	Top-5 acc 39.844 (43.649)	lr 0.01712
Warmup Train [25][190/2134]	Time 0.602 (0.701)	Data 0.003 (0.074)	Loss 4.3545 (4.4061)	Top-1 acc 22.656 (21.513)	Top-5 acc 46.094 (43.621)	lr 0.01711
Warmup Train [25][200/2134]	Time 0.466 (0.696)	Data 0.002 (0.071)	Loss 4.4711 (4.4083)	Top-1 acc 21.484 (21.467)	Top-5 acc 45.312 (43.567)	lr 0.01710
Warmup Train [25][210/2134]	Time 0.538 (0.708)	Data 0.002 (0.068)	Loss 4.6150 (4.4091)	Top-1 acc 21.875 (21.442)	Top-5 acc 39.453 (43.570)	lr 0.01709
Warmup Train [25][220/2134]	Time 0.417 (0.703)	Data 0.002 (0.066)	Loss 4.3013 (4.4085)	Top-1 acc 25.000 (21.454)	Top-5 acc 49.609 (43.593)	lr 0.01708
Warmup Train [25][230/2134]	Time 0.665 (0.699)	Data 0.002 (0.064)	Loss 4.3165 (4.4060)	Top-1 acc 23.828 (21.522)	Top-5 acc 45.312 (43.650)	lr 0.01707
Warmup Train [25][240/2134]	Time 0.546 (0.695)	Data 0.005 (0.061)	Loss 4.4373 (4.4078)	Top-1 acc 20.703 (21.502)	Top-5 acc 41.797 (43.596)	lr 0.01706
Warmup Train [25][250/2134]	Time 0.662 (0.692)	Data 0.003 (0.059)	Loss 4.2523 (4.4083)	Top-1 acc 20.703 (21.473)	Top-5 acc 47.266 (43.551)	lr 0.01706
Warmup Train [25][260/2134]	Time 0.618 (0.689)	Data 0.003 (0.057)	Loss 4.3450 (4.4078)	Top-1 acc 22.266 (21.457)	Top-5 acc 42.188 (43.578)	lr 0.01705
Warmup Train [25][270/2134]	Time 0.717 (0.686)	Data 0.003 (0.055)	Loss 4.4090 (4.4065)	Top-1 acc 23.828 (21.469)	Top-5 acc 41.016 (43.607)	lr 0.01704
Warmup Train [25][280/2134]	Time 0.418 (0.684)	Data 0.002 (0.053)	Loss 4.5877 (4.4076)	Top-1 acc 13.281 (21.439)	Top-5 acc 42.969 (43.598)	lr 0.01703
Warmup Train [25][290/2134]	Time 0.519 (0.681)	Data 0.004 (0.052)	Loss 4.5856 (4.4089)	Top-1 acc 17.578 (21.409)	Top-5 acc 39.844 (43.573)	lr 0.01702
Warmup Train [25][300/2134]	Time 0.537 (0.680)	Data 0.002 (0.051)	Loss 4.4746 (4.4093)	Top-1 acc 18.359 (21.371)	Top-5 acc 43.359 (43.585)	lr 0.01701
Warmup Train [25][310/2134]	Time 0.703 (0.677)	Data 0.002 (0.049)	Loss 4.3912 (4.4101)	Top-1 acc 22.656 (21.364)	Top-5 acc 41.406 (43.557)	lr 0.01700
Warmup Train [25][320/2134]	Time 0.707 (0.675)	Data 0.003 (0.048)	Loss 4.1982 (4.4097)	Top-1 acc 23.828 (21.375)	Top-5 acc 50.781 (43.565)	lr 0.01700
Warmup Train [25][330/2134]	Time 0.590 (0.673)	Data 0.002 (0.047)	Loss 4.4805 (4.4100)	Top-1 acc 23.047 (21.394)	Top-5 acc 42.969 (43.577)	lr 0.01699
Warmup Train [25][340/2134]	Time 0.572 (0.672)	Data 0.002 (0.045)	Loss 4.5785 (4.4099)	Top-1 acc 19.922 (21.420)	Top-5 acc 39.453 (43.554)	lr 0.01698
Warmup Train [25][350/2134]	Time 0.718 (0.670)	Data 0.003 (0.044)	Loss 4.5659 (4.4117)	Top-1 acc 18.750 (21.393)	Top-5 acc 39.844 (43.494)	lr 0.01697
Warmup Train [25][360/2134]	Time 0.649 (0.669)	Data 0.002 (0.043)	Loss 4.4168 (4.4118)	Top-1 acc 23.047 (21.405)	Top-5 acc 48.438 (43.484)	lr 0.01696
Warmup Train [25][370/2134]	Time 0.727 (0.668)	Data 0.003 (0.042)	Loss 4.4289 (4.4113)	Top-1 acc 20.312 (21.430)	Top-5 acc 43.359 (43.491)	lr 0.01695
Warmup Train [25][380/2134]	Time 0.645 (0.666)	Data 0.003 (0.041)	Loss 4.5278 (4.4120)	Top-1 acc 19.922 (21.428)	Top-5 acc 40.625 (43.495)	lr 0.01694
Warmup Train [25][390/2134]	Time 0.780 (0.665)	Data 0.006 (0.040)	Loss 4.4617 (4.4113)	Top-1 acc 22.266 (21.425)	Top-5 acc 44.531 (43.513)	lr 0.01693
Warmup Train [25][400/2134]	Time 0.658 (0.663)	Data 0.002 (0.039)	Loss 4.4501 (4.4118)	Top-1 acc 24.609 (21.423)	Top-5 acc 46.484 (43.510)	lr 0.01693
Warmup Train [25][410/2134]	Time 0.419 (0.662)	Data 0.002 (0.038)	Loss 4.5413 (4.4122)	Top-1 acc 19.531 (21.419)	Top-5 acc 39.453 (43.488)	lr 0.01692
Warmup Train [25][420/2134]	Time 0.506 (0.661)	Data 0.002 (0.038)	Loss 4.5331 (4.4131)	Top-1 acc 19.141 (21.418)	Top-5 acc 41.016 (43.474)	lr 0.01691
Warmup Train [25][430/2134]	Time 0.730 (0.660)	Data 0.002 (0.037)	Loss 4.3342 (4.4121)	Top-1 acc 27.734 (21.419)	Top-5 acc 47.266 (43.507)	lr 0.01690
Warmup Train [25][440/2134]	Time 0.548 (0.658)	Data 0.002 (0.036)	Loss 4.2817 (4.4122)	Top-1 acc 21.875 (21.392)	Top-5 acc 49.219 (43.506)	lr 0.01689
Warmup Train [25][450/2134]	Time 0.644 (0.663)	Data 0.002 (0.036)	Loss 4.6324 (4.4132)	Top-1 acc 19.922 (21.388)	Top-5 acc 40.234 (43.470)	lr 0.01688
Warmup Train [25][460/2134]	Time 0.655 (0.662)	Data 0.003 (0.035)	Loss 4.2027 (4.4125)	Top-1 acc 22.656 (21.389)	Top-5 acc 47.266 (43.481)	lr 0.01687
Warmup Train [25][470/2134]	Time 0.579 (0.661)	Data 0.002 (0.035)	Loss 4.2557 (4.4127)	Top-1 acc 21.875 (21.373)	Top-5 acc 43.750 (43.474)	lr 0.01686
Warmup Train [25][480/2134]	Time 0.634 (0.661)	Data 0.002 (0.035)	Loss 4.4138 (4.4123)	Top-1 acc 20.703 (21.358)	Top-5 acc 41.016 (43.475)	lr 0.01686
Warmup Train [25][490/2134]	Time 0.577 (0.660)	Data 0.007 (0.034)	Loss 4.2808 (4.4129)	Top-1 acc 24.609 (21.340)	Top-5 acc 46.484 (43.462)	lr 0.01685
Warmup Train [25][500/2134]	Time 0.599 (0.659)	Data 0.003 (0.034)	Loss 4.4924 (4.4131)	Top-1 acc 21.484 (21.333)	Top-5 acc 41.016 (43.460)	lr 0.01684
Warmup Train [25][510/2134]	Time 0.594 (0.658)	Data 0.002 (0.033)	Loss 4.5235 (4.4135)	Top-1 acc 21.484 (21.316)	Top-5 acc 37.109 (43.440)	lr 0.01683
Warmup Train [25][520/2134]	Time 0.601 (0.658)	Data 0.002 (0.032)	Loss 4.4002 (4.4128)	Top-1 acc 18.750 (21.314)	Top-5 acc 42.188 (43.452)	lr 0.01682
Warmup Train [25][530/2134]	Time 0.745 (0.657)	Data 0.002 (0.032)	Loss 4.3661 (4.4132)	Top-1 acc 23.047 (21.303)	Top-5 acc 42.578 (43.443)	lr 0.01681
Warmup Train [25][540/2134]	Time 0.675 (0.656)	Data 0.002 (0.031)	Loss 4.6494 (4.4139)	Top-1 acc 16.797 (21.292)	Top-5 acc 39.062 (43.430)	lr 0.01680
Warmup Train [25][550/2134]	Time 0.538 (0.655)	Data 0.003 (0.031)	Loss 4.4420 (4.4135)	Top-1 acc 21.484 (21.311)	Top-5 acc 42.188 (43.435)	lr 0.01680
Warmup Train [25][560/2134]	Time 0.573 (0.655)	Data 0.006 (0.030)	Loss 4.4880 (4.4131)	Top-1 acc 20.703 (21.301)	Top-5 acc 39.062 (43.407)	lr 0.01679
Warmup Train [25][570/2134]	Time 0.615 (0.654)	Data 0.005 (0.030)	Loss 4.2272 (4.4122)	Top-1 acc 24.219 (21.324)	Top-5 acc 47.266 (43.428)	lr 0.01678
Warmup Train [25][580/2134]	Time 0.535 (0.653)	Data 0.003 (0.029)	Loss 4.4777 (4.4134)	Top-1 acc 21.094 (21.318)	Top-5 acc 43.750 (43.421)	lr 0.01677
Warmup Train [25][590/2134]	Time 0.702 (0.653)	Data 0.006 (0.029)	Loss 4.4808 (4.4140)	Top-1 acc 19.531 (21.295)	Top-5 acc 42.188 (43.390)	lr 0.01676
Warmup Train [25][600/2134]	Time 0.486 (0.652)	Data 0.002 (0.029)	Loss 4.3932 (4.4136)	Top-1 acc 21.875 (21.290)	Top-5 acc 43.750 (43.410)	lr 0.01675
Warmup Train [25][610/2134]	Time 0.642 (0.652)	Data 0.004 (0.029)	Loss 4.4966 (4.4135)	Top-1 acc 17.969 (21.287)	Top-5 acc 39.062 (43.411)	lr 0.01674
Warmup Train [25][620/2134]	Time 0.690 (0.651)	Data 0.002 (0.028)	Loss 4.4612 (4.4137)	Top-1 acc 18.359 (21.267)	Top-5 acc 39.062 (43.405)	lr 0.01673
Warmup Train [25][630/2134]	Time 0.613 (0.651)	Data 0.005 (0.028)	Loss 4.4229 (4.4132)	Top-1 acc 19.141 (21.265)	Top-5 acc 45.312 (43.408)	lr 0.01673
Warmup Train [25][640/2134]	Time 0.686 (0.650)	Data 0.002 (0.028)	Loss 4.5201 (4.4136)	Top-1 acc 20.312 (21.244)	Top-5 acc 40.625 (43.409)	lr 0.01672
Warmup Train [25][650/2134]	Time 0.625 (0.649)	Data 0.003 (0.027)	Loss 4.4137 (4.4131)	Top-1 acc 21.484 (21.267)	Top-5 acc 44.141 (43.427)	lr 0.01671
Warmup Train [25][660/2134]	Time 0.649 (0.649)	Data 0.002 (0.027)	Loss 4.2795 (4.4126)	Top-1 acc 19.922 (21.272)	Top-5 acc 46.875 (43.443)	lr 0.01670
Warmup Train [25][670/2134]	Time 0.656 (0.648)	Data 0.003 (0.027)	Loss 4.4236 (4.4131)	Top-1 acc 23.047 (21.264)	Top-5 acc 44.141 (43.425)	lr 0.01669
Warmup Train [25][680/2134]	Time 0.782 (0.651)	Data 0.002 (0.026)	Loss 4.3360 (4.4129)	Top-1 acc 19.531 (21.269)	Top-5 acc 43.750 (43.443)	lr 0.01668
Warmup Train [25][690/2134]	Time 0.621 (0.651)	Data 0.002 (0.026)	Loss 4.4319 (4.4128)	Top-1 acc 24.609 (21.280)	Top-5 acc 46.094 (43.450)	lr 0.01667
Warmup Train [25][700/2134]	Time 0.552 (0.651)	Data 0.002 (0.026)	Loss 4.3442 (4.4129)	Top-1 acc 23.438 (21.282)	Top-5 acc 45.312 (43.446)	lr 0.01666
Warmup Train [25][710/2134]	Time 0.706 (0.650)	Data 0.002 (0.025)	Loss 4.3997 (4.4122)	Top-1 acc 23.047 (21.290)	Top-5 acc 44.531 (43.451)	lr 0.01666
Warmup Train [25][720/2134]	Time 0.707 (0.650)	Data 0.004 (0.025)	Loss 4.3513 (4.4121)	Top-1 acc 23.047 (21.296)	Top-5 acc 43.750 (43.456)	lr 0.01665
Warmup Train [25][730/2134]	Time 0.631 (0.649)	Data 0.003 (0.025)	Loss 4.4837 (4.4115)	Top-1 acc 18.359 (21.294)	Top-5 acc 41.016 (43.452)	lr 0.01664
Warmup Train [25][740/2134]	Time 0.707 (0.649)	Data 0.002 (0.024)	Loss 4.4377 (4.4112)	Top-1 acc 20.312 (21.288)	Top-5 acc 42.578 (43.450)	lr 0.01663
Warmup Train [25][750/2134]	Time 0.617 (0.649)	Data 0.003 (0.024)	Loss 4.4260 (4.4111)	Top-1 acc 23.828 (21.301)	Top-5 acc 42.969 (43.457)	lr 0.01662
Warmup Train [25][760/2134]	Time 0.504 (0.649)	Data 0.002 (0.024)	Loss 4.2857 (4.4114)	Top-1 acc 25.391 (21.295)	Top-5 acc 46.875 (43.464)	lr 0.01661
Warmup Train [25][770/2134]	Time 0.492 (0.648)	Data 0.002 (0.024)	Loss 4.4892 (4.4112)	Top-1 acc 18.750 (21.313)	Top-5 acc 38.281 (43.464)	lr 0.01660
Warmup Train [25][780/2134]	Time 0.570 (0.648)	Data 0.003 (0.024)	Loss 4.4860 (4.4112)	Top-1 acc 19.531 (21.319)	Top-5 acc 44.531 (43.460)	lr 0.01660
Warmup Train [25][790/2134]	Time 0.749 (0.648)	Data 0.004 (0.024)	Loss 4.3104 (4.4102)	Top-1 acc 22.266 (21.332)	Top-5 acc 44.141 (43.477)	lr 0.01659
Warmup Train [25][800/2134]	Time 0.629 (0.647)	Data 0.002 (0.023)	Loss 4.4097 (4.4104)	Top-1 acc 20.312 (21.330)	Top-5 acc 42.578 (43.468)	lr 0.01658
Warmup Train [25][810/2134]	Time 0.584 (0.647)	Data 0.003 (0.023)	Loss 4.3982 (4.4102)	Top-1 acc 18.750 (21.329)	Top-5 acc 40.234 (43.474)	lr 0.01657
Warmup Train [25][820/2134]	Time 0.618 (0.646)	Data 0.002 (0.023)	Loss 4.5018 (4.4104)	Top-1 acc 22.266 (21.324)	Top-5 acc 43.359 (43.466)	lr 0.01656
Warmup Train [25][830/2134]	Time 0.499 (0.645)	Data 0.002 (0.023)	Loss 4.4489 (4.4105)	Top-1 acc 20.703 (21.321)	Top-5 acc 41.797 (43.460)	lr 0.01655
Warmup Train [25][840/2134]	Time 0.540 (0.645)	Data 0.002 (0.023)	Loss 4.5011 (4.4101)	Top-1 acc 22.266 (21.329)	Top-5 acc 41.797 (43.472)	lr 0.01654
Warmup Train [25][850/2134]	Time 0.648 (0.645)	Data 0.002 (0.022)	Loss 4.3403 (4.4098)	Top-1 acc 21.094 (21.334)	Top-5 acc 43.750 (43.485)	lr 0.01654
Warmup Train [25][860/2134]	Time 0.533 (0.645)	Data 0.002 (0.022)	Loss 4.3927 (4.4097)	Top-1 acc 22.266 (21.335)	Top-5 acc 41.797 (43.487)	lr 0.01653
Warmup Train [25][870/2134]	Time 0.507 (0.644)	Data 0.003 (0.022)	Loss 4.4840 (4.4097)	Top-1 acc 17.188 (21.332)	Top-5 acc 37.500 (43.478)	lr 0.01652
Warmup Train [25][880/2134]	Time 0.632 (0.644)	Data 0.002 (0.022)	Loss 4.3021 (4.4095)	Top-1 acc 23.438 (21.351)	Top-5 acc 47.656 (43.491)	lr 0.01651
Warmup Train [25][890/2134]	Time 0.755 (0.644)	Data 0.002 (0.022)	Loss 4.5048 (4.4095)	Top-1 acc 15.625 (21.326)	Top-5 acc 40.625 (43.495)	lr 0.01650
Warmup Train [25][900/2134]	Time 0.861 (0.643)	Data 0.002 (0.022)	Loss 4.1916 (4.4097)	Top-1 acc 27.344 (21.341)	Top-5 acc 47.266 (43.488)	lr 0.01649
Warmup Train [25][910/2134]	Time 2.966 (0.645)	Data 0.002 (0.021)	Loss 4.3892 (4.4099)	Top-1 acc 21.094 (21.332)	Top-5 acc 44.531 (43.485)	lr 0.01648
Warmup Train [25][920/2134]	Time 0.619 (0.645)	Data 0.002 (0.021)	Loss 4.4871 (4.4099)	Top-1 acc 17.969 (21.334)	Top-5 acc 42.188 (43.490)	lr 0.01647
Warmup Train [25][930/2134]	Time 0.638 (0.645)	Data 0.002 (0.021)	Loss 4.5174 (4.4104)	Top-1 acc 19.922 (21.325)	Top-5 acc 43.359 (43.481)	lr 0.01647
Warmup Train [25][940/2134]	Time 0.652 (0.644)	Data 0.002 (0.021)	Loss 4.3149 (4.4106)	Top-1 acc 22.266 (21.322)	Top-5 acc 49.219 (43.490)	lr 0.01646
Warmup Train [25][950/2134]	Time 0.738 (0.644)	Data 0.002 (0.021)	Loss 4.1972 (4.4109)	Top-1 acc 26.953 (21.310)	Top-5 acc 50.391 (43.487)	lr 0.01645
Warmup Train [25][960/2134]	Time 0.654 (0.644)	Data 0.002 (0.020)	Loss 4.2798 (4.4109)	Top-1 acc 21.875 (21.301)	Top-5 acc 44.141 (43.483)	lr 0.01644
Warmup Train [25][970/2134]	Time 0.585 (0.643)	Data 0.002 (0.020)	Loss 4.4842 (4.4109)	Top-1 acc 21.875 (21.292)	Top-5 acc 41.016 (43.476)	lr 0.01643
Warmup Train [25][980/2134]	Time 0.632 (0.643)	Data 0.002 (0.020)	Loss 4.1977 (4.4109)	Top-1 acc 23.438 (21.279)	Top-5 acc 44.922 (43.476)	lr 0.01642
Warmup Train [25][990/2134]	Time 0.635 (0.643)	Data 0.002 (0.020)	Loss 4.3576 (4.4108)	Top-1 acc 25.000 (21.285)	Top-5 acc 47.266 (43.476)	lr 0.01641
Warmup Train [25][1000/2134]	Time 0.519 (0.642)	Data 0.002 (0.020)	Loss 4.3462 (4.4102)	Top-1 acc 21.875 (21.295)	Top-5 acc 41.797 (43.475)	lr 0.01641
Warmup Train [25][1010/2134]	Time 0.526 (0.642)	Data 0.002 (0.020)	Loss 4.2208 (4.4098)	Top-1 acc 25.000 (21.301)	Top-5 acc 48.828 (43.491)	lr 0.01640
Warmup Train [25][1020/2134]	Time 0.556 (0.642)	Data 0.002 (0.020)	Loss 4.3694 (4.4105)	Top-1 acc 16.797 (21.293)	Top-5 acc 45.703 (43.477)	lr 0.01639
Warmup Train [25][1030/2134]	Time 0.557 (0.641)	Data 0.003 (0.020)	Loss 4.3695 (4.4103)	Top-1 acc 24.609 (21.300)	Top-5 acc 46.484 (43.475)	lr 0.01638
Warmup Train [25][1040/2134]	Time 0.519 (0.641)	Data 0.003 (0.020)	Loss 4.4491 (4.4095)	Top-1 acc 20.703 (21.308)	Top-5 acc 42.188 (43.503)	lr 0.01637
Warmup Train [25][1050/2134]	Time 0.484 (0.641)	Data 0.002 (0.020)	Loss 4.4663 (4.4097)	Top-1 acc 21.484 (21.311)	Top-5 acc 42.969 (43.497)	lr 0.01636
Warmup Train [25][1060/2134]	Time 0.506 (0.641)	Data 0.002 (0.020)	Loss 4.5868 (4.4101)	Top-1 acc 15.625 (21.297)	Top-5 acc 36.719 (43.483)	lr 0.01635
Warmup Train [25][1070/2134]	Time 0.406 (0.640)	Data 0.002 (0.020)	Loss 4.4525 (4.4095)	Top-1 acc 22.266 (21.310)	Top-5 acc 45.703 (43.498)	lr 0.01634
Warmup Train [25][1080/2134]	Time 0.638 (0.640)	Data 0.002 (0.020)	Loss 4.3558 (4.4092)	Top-1 acc 21.484 (21.322)	Top-5 acc 42.969 (43.505)	lr 0.01634
Warmup Train [25][1090/2134]	Time 0.654 (0.640)	Data 0.002 (0.019)	Loss 4.3856 (4.4096)	Top-1 acc 19.922 (21.314)	Top-5 acc 41.797 (43.492)	lr 0.01633
Warmup Train [25][1100/2134]	Time 0.627 (0.640)	Data 0.003 (0.019)	Loss 4.3355 (4.4087)	Top-1 acc 24.219 (21.333)	Top-5 acc 46.875 (43.508)	lr 0.01632
Warmup Train [25][1110/2134]	Time 0.600 (0.640)	Data 0.002 (0.019)	Loss 4.3475 (4.4087)	Top-1 acc 24.219 (21.333)	Top-5 acc 44.531 (43.517)	lr 0.01631
Warmup Train [25][1120/2134]	Time 0.687 (0.639)	Data 0.002 (0.019)	Loss 4.5616 (4.4088)	Top-1 acc 18.359 (21.324)	Top-5 acc 35.156 (43.507)	lr 0.01630
Warmup Train [25][1130/2134]	Time 0.654 (0.639)	Data 0.002 (0.019)	Loss 4.3871 (4.4085)	Top-1 acc 24.219 (21.326)	Top-5 acc 44.531 (43.514)	lr 0.01629
Warmup Train [25][1140/2134]	Time 0.744 (0.639)	Data 0.002 (0.019)	Loss 4.2712 (4.4081)	Top-1 acc 22.656 (21.330)	Top-5 acc 46.094 (43.520)	lr 0.01628
Warmup Train [25][1150/2134]	Time 2.861 (0.641)	Data 0.002 (0.019)	Loss 4.4267 (4.4082)	Top-1 acc 22.656 (21.325)	Top-5 acc 44.141 (43.515)	lr 0.01628
Warmup Train [25][1160/2134]	Time 0.617 (0.640)	Data 0.002 (0.019)	Loss 4.4248 (4.4080)	Top-1 acc 21.875 (21.329)	Top-5 acc 42.578 (43.522)	lr 0.01627
Warmup Train [25][1170/2134]	Time 0.437 (0.640)	Data 0.002 (0.019)	Loss 4.4546 (4.4082)	Top-1 acc 18.750 (21.327)	Top-5 acc 38.672 (43.510)	lr 0.01626
Warmup Train [25][1180/2134]	Time 0.433 (0.640)	Data 0.002 (0.018)	Loss 4.4166 (4.4083)	Top-1 acc 21.484 (21.327)	Top-5 acc 47.266 (43.518)	lr 0.01625
Warmup Train [25][1190/2134]	Time 0.742 (0.640)	Data 0.002 (0.018)	Loss 4.3400 (4.4078)	Top-1 acc 21.875 (21.327)	Top-5 acc 45.703 (43.531)	lr 0.01624
Warmup Train [25][1200/2134]	Time 0.610 (0.639)	Data 0.002 (0.018)	Loss 4.4329 (4.4079)	Top-1 acc 20.312 (21.322)	Top-5 acc 42.969 (43.522)	lr 0.01623
Warmup Train [25][1210/2134]	Time 0.534 (0.639)	Data 0.025 (0.018)	Loss 4.4241 (4.4076)	Top-1 acc 18.750 (21.328)	Top-5 acc 42.578 (43.528)	lr 0.01622
Warmup Train [25][1220/2134]	Time 0.539 (0.639)	Data 0.002 (0.018)	Loss 4.3766 (4.4071)	Top-1 acc 21.875 (21.332)	Top-5 acc 46.484 (43.535)	lr 0.01622
Warmup Train [25][1230/2134]	Time 0.596 (0.638)	Data 0.002 (0.018)	Loss 4.1937 (4.4070)	Top-1 acc 26.172 (21.340)	Top-5 acc 48.047 (43.538)	lr 0.01621
Warmup Train [25][1240/2134]	Time 0.581 (0.638)	Data 0.002 (0.018)	Loss 4.2681 (4.4065)	Top-1 acc 23.438 (21.353)	Top-5 acc 47.266 (43.549)	lr 0.01620
Warmup Train [25][1250/2134]	Time 0.723 (0.638)	Data 0.002 (0.018)	Loss 4.4155 (4.4061)	Top-1 acc 24.219 (21.368)	Top-5 acc 42.578 (43.548)	lr 0.01619
Warmup Train [25][1260/2134]	Time 0.506 (0.638)	Data 0.002 (0.018)	Loss 4.3440 (4.4058)	Top-1 acc 23.047 (21.369)	Top-5 acc 42.969 (43.556)	lr 0.01618
Warmup Train [25][1270/2134]	Time 0.720 (0.638)	Data 0.002 (0.018)	Loss 4.4376 (4.4054)	Top-1 acc 20.703 (21.369)	Top-5 acc 40.625 (43.564)	lr 0.01617
Warmup Train [25][1280/2134]	Time 0.654 (0.637)	Data 0.004 (0.018)	Loss 4.3781 (4.4054)	Top-1 acc 23.047 (21.373)	Top-5 acc 44.922 (43.560)	lr 0.01616
Warmup Train [25][1290/2134]	Time 0.529 (0.637)	Data 0.002 (0.018)	Loss 4.3192 (4.4050)	Top-1 acc 26.562 (21.382)	Top-5 acc 45.312 (43.570)	lr 0.01616
Warmup Train [25][1300/2134]	Time 0.525 (0.637)	Data 0.003 (0.018)	Loss 4.5098 (4.4048)	Top-1 acc 18.359 (21.383)	Top-5 acc 40.625 (43.581)	lr 0.01615
Warmup Train [25][1310/2134]	Time 0.605 (0.636)	Data 0.003 (0.018)	Loss 4.4605 (4.4047)	Top-1 acc 19.531 (21.394)	Top-5 acc 40.234 (43.590)	lr 0.01614
Warmup Train [25][1320/2134]	Time 0.628 (0.636)	Data 0.002 (0.017)	Loss 4.2728 (4.4044)	Top-1 acc 18.750 (21.395)	Top-5 acc 47.656 (43.604)	lr 0.01613
Warmup Train [25][1330/2134]	Time 0.425 (0.636)	Data 0.002 (0.017)	Loss 4.4552 (4.4041)	Top-1 acc 18.750 (21.407)	Top-5 acc 43.359 (43.619)	lr 0.01612
Warmup Train [25][1340/2134]	Time 0.621 (0.636)	Data 0.002 (0.017)	Loss 4.3051 (4.4044)	Top-1 acc 21.094 (21.397)	Top-5 acc 44.922 (43.612)	lr 0.01611
Warmup Train [25][1350/2134]	Time 0.775 (0.636)	Data 0.002 (0.017)	Loss 4.3957 (4.4043)	Top-1 acc 20.703 (21.389)	Top-5 acc 46.094 (43.612)	lr 0.01610
Warmup Train [25][1360/2134]	Time 0.787 (0.636)	Data 0.002 (0.017)	Loss 4.3149 (4.4044)	Top-1 acc 23.828 (21.383)	Top-5 acc 42.578 (43.609)	lr 0.01610
Warmup Train [25][1370/2134]	Time 0.665 (0.636)	Data 0.002 (0.017)	Loss 4.4417 (4.4040)	Top-1 acc 22.266 (21.392)	Top-5 acc 44.922 (43.626)	lr 0.01609
Warmup Train [25][1380/2134]	Time 0.724 (0.635)	Data 0.002 (0.017)	Loss 4.4981 (4.4038)	Top-1 acc 19.531 (21.400)	Top-5 acc 42.969 (43.630)	lr 0.01608
Warmup Train [25][1390/2134]	Time 2.814 (0.637)	Data 0.004 (0.017)	Loss 4.2934 (4.4037)	Top-1 acc 21.484 (21.407)	Top-5 acc 43.750 (43.628)	lr 0.01607
Warmup Train [25][1400/2134]	Time 0.451 (0.636)	Data 0.002 (0.017)	Loss 4.4724 (4.4040)	Top-1 acc 19.531 (21.404)	Top-5 acc 42.188 (43.630)	lr 0.01606
Warmup Train [25][1410/2134]	Time 0.827 (0.636)	Data 0.002 (0.017)	Loss 4.2675 (4.4037)	Top-1 acc 23.828 (21.404)	Top-5 acc 48.438 (43.633)	lr 0.01605
Warmup Train [25][1420/2134]	Time 0.588 (0.636)	Data 0.002 (0.017)	Loss 4.5374 (4.4037)	Top-1 acc 17.578 (21.399)	Top-5 acc 41.797 (43.629)	lr 0.01604
Warmup Train [25][1430/2134]	Time 0.776 (0.636)	Data 0.002 (0.017)	Loss 4.6164 (4.4035)	Top-1 acc 22.656 (21.409)	Top-5 acc 40.625 (43.632)	lr 0.01604
Warmup Train [25][1440/2134]	Time 0.656 (0.636)	Data 0.002 (0.017)	Loss 4.3218 (4.4033)	Top-1 acc 23.828 (21.411)	Top-5 acc 48.047 (43.635)	lr 0.01603
Warmup Train [25][1450/2134]	Time 0.604 (0.635)	Data 0.002 (0.016)	Loss 4.3394 (4.4036)	Top-1 acc 19.531 (21.403)	Top-5 acc 41.797 (43.633)	lr 0.01602
Warmup Train [25][1460/2134]	Time 0.604 (0.635)	Data 0.002 (0.016)	Loss 4.4709 (4.4035)	Top-1 acc 18.359 (21.400)	Top-5 acc 42.578 (43.630)	lr 0.01601
Warmup Train [25][1470/2134]	Time 0.747 (0.635)	Data 0.002 (0.016)	Loss 4.3951 (4.4037)	Top-1 acc 23.047 (21.399)	Top-5 acc 44.922 (43.625)	lr 0.01600
Warmup Train [25][1480/2134]	Time 0.536 (0.635)	Data 0.002 (0.016)	Loss 4.4877 (4.4039)	Top-1 acc 21.875 (21.400)	Top-5 acc 42.188 (43.620)	lr 0.01599
Warmup Train [25][1490/2134]	Time 0.641 (0.635)	Data 0.002 (0.016)	Loss 4.3145 (4.4038)	Top-1 acc 22.656 (21.398)	Top-5 acc 44.922 (43.624)	lr 0.01598
Warmup Train [25][1500/2134]	Time 0.638 (0.635)	Data 0.002 (0.016)	Loss 4.5043 (4.4035)	Top-1 acc 20.703 (21.402)	Top-5 acc 41.797 (43.628)	lr 0.01598
Warmup Train [25][1510/2134]	Time 0.598 (0.635)	Data 0.002 (0.016)	Loss 4.2304 (4.4035)	Top-1 acc 21.484 (21.401)	Top-5 acc 41.406 (43.625)	lr 0.01597
Warmup Train [25][1520/2134]	Time 0.664 (0.635)	Data 0.002 (0.016)	Loss 4.3240 (4.4033)	Top-1 acc 25.000 (21.402)	Top-5 acc 46.094 (43.623)	lr 0.01596
Warmup Train [25][1530/2134]	Time 0.681 (0.635)	Data 0.002 (0.016)	Loss 4.4415 (4.4036)	Top-1 acc 21.484 (21.393)	Top-5 acc 41.797 (43.615)	lr 0.01595
Warmup Train [25][1540/2134]	Time 0.648 (0.634)	Data 0.002 (0.016)	Loss 4.4342 (4.4036)	Top-1 acc 21.094 (21.393)	Top-5 acc 44.141 (43.606)	lr 0.01594
Warmup Train [25][1550/2134]	Time 0.507 (0.634)	Data 0.002 (0.016)	Loss 4.4398 (4.4034)	Top-1 acc 20.703 (21.391)	Top-5 acc 43.750 (43.605)	lr 0.01593
Warmup Train [25][1560/2134]	Time 0.575 (0.634)	Data 0.002 (0.016)	Loss 4.5289 (4.4033)	Top-1 acc 21.875 (21.391)	Top-5 acc 39.844 (43.606)	lr 0.01592
Warmup Train [25][1570/2134]	Time 0.833 (0.634)	Data 0.034 (0.016)	Loss 4.3846 (4.4033)	Top-1 acc 22.266 (21.390)	Top-5 acc 44.141 (43.605)	lr 0.01592
Warmup Train [25][1580/2134]	Time 0.612 (0.634)	Data 0.002 (0.016)	Loss 4.3247 (4.4030)	Top-1 acc 23.828 (21.397)	Top-5 acc 45.312 (43.613)	lr 0.01591
Warmup Train [25][1590/2134]	Time 0.682 (0.634)	Data 0.002 (0.016)	Loss 4.3787 (4.4032)	Top-1 acc 20.312 (21.391)	Top-5 acc 42.578 (43.615)	lr 0.01590
Warmup Train [25][1600/2134]	Time 0.687 (0.634)	Data 0.002 (0.016)	Loss 4.4096 (4.4030)	Top-1 acc 23.438 (21.401)	Top-5 acc 45.703 (43.617)	lr 0.01589
Warmup Train [25][1610/2134]	Time 0.644 (0.634)	Data 0.004 (0.016)	Loss 4.4010 (4.4029)	Top-1 acc 20.703 (21.400)	Top-5 acc 44.141 (43.622)	lr 0.01588
Warmup Train [25][1620/2134]	Time 0.758 (0.633)	Data 0.002 (0.015)	Loss 4.4964 (4.4030)	Top-1 acc 18.750 (21.390)	Top-5 acc 40.625 (43.623)	lr 0.01587
Warmup Train [25][1630/2134]	Time 0.610 (0.633)	Data 0.002 (0.015)	Loss 4.1378 (4.4024)	Top-1 acc 24.609 (21.406)	Top-5 acc 51.172 (43.635)	lr 0.01586
Warmup Train [25][1640/2134]	Time 0.576 (0.634)	Data 0.002 (0.015)	Loss 4.4485 (4.4025)	Top-1 acc 19.531 (21.408)	Top-5 acc 41.016 (43.630)	lr 0.01586
Warmup Train [25][1650/2134]	Time 0.642 (0.634)	Data 0.002 (0.015)	Loss 4.3406 (4.4024)	Top-1 acc 22.266 (21.413)	Top-5 acc 46.484 (43.630)	lr 0.01585
Warmup Train [25][1660/2134]	Time 0.712 (0.634)	Data 0.002 (0.015)	Loss 4.5222 (4.4024)	Top-1 acc 17.188 (21.408)	Top-5 acc 40.234 (43.634)	lr 0.01584
Warmup Train [25][1670/2134]	Time 0.538 (0.634)	Data 0.002 (0.015)	Loss 4.4104 (4.4020)	Top-1 acc 22.266 (21.420)	Top-5 acc 46.484 (43.649)	lr 0.01583
Warmup Train [25][1680/2134]	Time 0.551 (0.634)	Data 0.002 (0.015)	Loss 4.3205 (4.4018)	Top-1 acc 23.438 (21.423)	Top-5 acc 44.531 (43.653)	lr 0.01582
Warmup Train [25][1690/2134]	Time 0.638 (0.634)	Data 0.002 (0.015)	Loss 4.3967 (4.4016)	Top-1 acc 17.188 (21.426)	Top-5 acc 44.922 (43.658)	lr 0.01581
Warmup Train [25][1700/2134]	Time 0.535 (0.634)	Data 0.002 (0.015)	Loss 4.4335 (4.4014)	Top-1 acc 23.828 (21.429)	Top-5 acc 41.406 (43.661)	lr 0.01580
Warmup Train [25][1710/2134]	Time 0.456 (0.634)	Data 0.002 (0.015)	Loss 4.3719 (4.4011)	Top-1 acc 23.828 (21.430)	Top-5 acc 44.141 (43.671)	lr 0.01580
Warmup Train [25][1720/2134]	Time 0.621 (0.634)	Data 0.002 (0.015)	Loss 4.4169 (4.4008)	Top-1 acc 23.047 (21.438)	Top-5 acc 46.094 (43.689)	lr 0.01579
Warmup Train [25][1730/2134]	Time 0.593 (0.634)	Data 0.002 (0.015)	Loss 4.3009 (4.4004)	Top-1 acc 23.438 (21.445)	Top-5 acc 41.797 (43.693)	lr 0.01578
Warmup Train [25][1740/2134]	Time 0.506 (0.633)	Data 0.003 (0.015)	Loss 4.4978 (4.4003)	Top-1 acc 19.531 (21.445)	Top-5 acc 39.062 (43.687)	lr 0.01577
Warmup Train [25][1750/2134]	Time 0.508 (0.633)	Data 0.002 (0.015)	Loss 4.2665 (4.4001)	Top-1 acc 24.609 (21.447)	Top-5 acc 46.484 (43.688)	lr 0.01576
Warmup Train [25][1760/2134]	Time 0.683 (0.633)	Data 0.002 (0.015)	Loss 4.3119 (4.4001)	Top-1 acc 20.703 (21.449)	Top-5 acc 44.141 (43.684)	lr 0.01575
Warmup Train [25][1770/2134]	Time 0.525 (0.633)	Data 0.002 (0.015)	Loss 4.2135 (4.3999)	Top-1 acc 19.531 (21.449)	Top-5 acc 51.953 (43.687)	lr 0.01574
Warmup Train [25][1780/2134]	Time 0.564 (0.633)	Data 0.002 (0.015)	Loss 4.3672 (4.3996)	Top-1 acc 21.484 (21.454)	Top-5 acc 41.016 (43.689)	lr 0.01574
Warmup Train [25][1790/2134]	Time 0.437 (0.633)	Data 0.002 (0.015)	Loss 4.4328 (4.3996)	Top-1 acc 20.703 (21.457)	Top-5 acc 46.094 (43.694)	lr 0.01573
Warmup Train [25][1800/2134]	Time 0.474 (0.633)	Data 0.003 (0.015)	Loss 4.4923 (4.3998)	Top-1 acc 18.359 (21.454)	Top-5 acc 42.188 (43.686)	lr 0.01572
Warmup Train [25][1810/2134]	Time 0.546 (0.633)	Data 0.002 (0.015)	Loss 4.3301 (4.3998)	Top-1 acc 21.484 (21.449)	Top-5 acc 50.391 (43.690)	lr 0.01571
Warmup Train [25][1820/2134]	Time 0.712 (0.633)	Data 0.002 (0.015)	Loss 4.2568 (4.4002)	Top-1 acc 24.219 (21.440)	Top-5 acc 47.656 (43.681)	lr 0.01570
Warmup Train [25][1830/2134]	Time 0.585 (0.633)	Data 0.002 (0.015)	Loss 4.3278 (4.4001)	Top-1 acc 23.438 (21.441)	Top-5 acc 42.969 (43.677)	lr 0.01569
Warmup Train [25][1840/2134]	Time 0.447 (0.633)	Data 0.003 (0.015)	Loss 4.4596 (4.4001)	Top-1 acc 18.359 (21.440)	Top-5 acc 42.578 (43.677)	lr 0.01568
Warmup Train [25][1850/2134]	Time 0.451 (0.633)	Data 0.002 (0.015)	Loss 4.2589 (4.4000)	Top-1 acc 22.266 (21.440)	Top-5 acc 45.312 (43.676)	lr 0.01568
Warmup Train [25][1860/2134]	Time 0.560 (0.632)	Data 0.002 (0.015)	Loss 4.5589 (4.4002)	Top-1 acc 17.969 (21.436)	Top-5 acc 42.578 (43.670)	lr 0.01567
Warmup Train [25][1870/2134]	Time 0.709 (0.632)	Data 0.002 (0.015)	Loss 4.6249 (4.4004)	Top-1 acc 21.094 (21.435)	Top-5 acc 39.453 (43.668)	lr 0.01566
Warmup Train [25][1880/2134]	Time 0.742 (0.633)	Data 0.002 (0.015)	Loss 4.2661 (4.4004)	Top-1 acc 26.953 (21.439)	Top-5 acc 49.609 (43.671)	lr 0.01565
Warmup Train [25][1890/2134]	Time 0.466 (0.633)	Data 0.002 (0.015)	Loss 4.4240 (4.4007)	Top-1 acc 20.703 (21.432)	Top-5 acc 41.797 (43.668)	lr 0.01564
Warmup Train [25][1900/2134]	Time 0.544 (0.633)	Data 0.002 (0.015)	Loss 4.4269 (4.4009)	Top-1 acc 21.484 (21.431)	Top-5 acc 41.797 (43.667)	lr 0.01563
Warmup Train [25][1910/2134]	Time 0.653 (0.633)	Data 0.002 (0.015)	Loss 4.4036 (4.4006)	Top-1 acc 24.609 (21.438)	Top-5 acc 42.969 (43.676)	lr 0.01562
Warmup Train [25][1920/2134]	Time 0.515 (0.633)	Data 0.002 (0.015)	Loss 4.3013 (4.4006)	Top-1 acc 23.047 (21.444)	Top-5 acc 45.703 (43.677)	lr 0.01562
Warmup Train [25][1930/2134]	Time 0.682 (0.633)	Data 0.003 (0.015)	Loss 4.3635 (4.4006)	Top-1 acc 24.219 (21.449)	Top-5 acc 44.531 (43.683)	lr 0.01561
Warmup Train [25][1940/2134]	Time 0.678 (0.633)	Data 0.002 (0.015)	Loss 4.3690 (4.4010)	Top-1 acc 20.703 (21.447)	Top-5 acc 44.531 (43.680)	lr 0.01560
Warmup Train [25][1950/2134]	Time 0.639 (0.633)	Data 0.002 (0.014)	Loss 4.3962 (4.4006)	Top-1 acc 21.875 (21.454)	Top-5 acc 44.531 (43.691)	lr 0.01559
Warmup Train [25][1960/2134]	Time 0.670 (0.633)	Data 0.002 (0.014)	Loss 4.3673 (4.4002)	Top-1 acc 23.047 (21.455)	Top-5 acc 45.703 (43.696)	lr 0.01558
Warmup Train [25][1970/2134]	Time 0.702 (0.632)	Data 0.002 (0.014)	Loss 4.4291 (4.4002)	Top-1 acc 19.141 (21.454)	Top-5 acc 40.234 (43.697)	lr 0.01557
Warmup Train [25][1980/2134]	Time 0.694 (0.632)	Data 0.002 (0.014)	Loss 4.2356 (4.4001)	Top-1 acc 25.391 (21.454)	Top-5 acc 46.875 (43.698)	lr 0.01556
Warmup Train [25][1990/2134]	Time 0.677 (0.632)	Data 0.002 (0.014)	Loss 4.5090 (4.3998)	Top-1 acc 19.922 (21.455)	Top-5 acc 42.578 (43.703)	lr 0.01556
Warmup Train [25][2000/2134]	Time 0.741 (0.632)	Data 0.002 (0.014)	Loss 4.3613 (4.3999)	Top-1 acc 21.094 (21.448)	Top-5 acc 46.094 (43.698)	lr 0.01555
Warmup Train [25][2010/2134]	Time 0.657 (0.632)	Data 0.002 (0.014)	Loss 4.5349 (4.3998)	Top-1 acc 16.406 (21.447)	Top-5 acc 39.062 (43.697)	lr 0.01554
Warmup Train [25][2020/2134]	Time 0.648 (0.632)	Data 0.002 (0.014)	Loss 4.2684 (4.3996)	Top-1 acc 25.000 (21.455)	Top-5 acc 43.750 (43.705)	lr 0.01553
Warmup Train [25][2030/2134]	Time 0.600 (0.632)	Data 0.002 (0.014)	Loss 4.3346 (4.3998)	Top-1 acc 21.875 (21.451)	Top-5 acc 46.875 (43.700)	lr 0.01552
Warmup Train [25][2040/2134]	Time 0.778 (0.632)	Data 0.002 (0.014)	Loss 4.2407 (4.3998)	Top-1 acc 22.266 (21.450)	Top-5 acc 47.656 (43.696)	lr 0.01551
Warmup Train [25][2050/2134]	Time 0.686 (0.631)	Data 0.002 (0.014)	Loss 4.5243 (4.3999)	Top-1 acc 22.266 (21.446)	Top-5 acc 44.141 (43.692)	lr 0.01551
Warmup Train [25][2060/2134]	Time 0.626 (0.631)	Data 0.003 (0.014)	Loss 4.2638 (4.3999)	Top-1 acc 24.609 (21.446)	Top-5 acc 48.047 (43.691)	lr 0.01550
Warmup Train [25][2070/2134]	Time 0.593 (0.631)	Data 0.002 (0.014)	Loss 4.6093 (4.4000)	Top-1 acc 16.797 (21.445)	Top-5 acc 36.719 (43.689)	lr 0.01549
Warmup Train [25][2080/2134]	Time 0.705 (0.631)	Data 0.000 (0.014)	Loss 4.2818 (4.4000)	Top-1 acc 21.484 (21.448)	Top-5 acc 46.484 (43.693)	lr 0.01548
Warmup Train [25][2090/2134]	Time 0.437 (0.631)	Data 0.000 (0.014)	Loss 4.3499 (4.3995)	Top-1 acc 23.047 (21.460)	Top-5 acc 45.703 (43.704)	lr 0.01547
Warmup Train [25][2100/2134]	Time 0.503 (0.631)	Data 0.000 (0.014)	Loss 4.6572 (4.3994)	Top-1 acc 17.578 (21.464)	Top-5 acc 36.719 (43.705)	lr 0.01546
Warmup Train [25][2110/2134]	Time 0.710 (0.630)	Data 0.000 (0.014)	Loss 4.5050 (4.3995)	Top-1 acc 19.141 (21.465)	Top-5 acc 41.016 (43.701)	lr 0.01545
Warmup Train [25][2120/2134]	Time 0.447 (0.631)	Data 0.000 (0.014)	Loss 4.2849 (4.3994)	Top-1 acc 22.266 (21.468)	Top-5 acc 42.969 (43.702)	lr 0.01545
Warmup Train [25][2130/2134]	Time 0.494 (0.631)	Data 0.000 (0.014)	Loss 4.3566 (4.3994)	Top-1 acc 20.312 (21.468)	Top-5 acc 42.578 (43.702)	lr 0.01544
Warmup Train [25][2134/2134]	Time 0.700 (0.631)	Data 0.000 (0.014)	Loss 4.4919 (4.3994)	Top-1 acc 20.321 (21.465)	Top-5 acc 37.433 (43.700)	lr 0.01543
==========Warmup Valid [25/40]	loss 3.443	top-1 acc 28.703	top-5 acc 53.896	Train top-1 21.465	top-5 43.700	flops: 442.4M
Warmup Train [26][0/2134]	Time 11.181 (11.181)	Data 10.193 (10.193)	Loss 4.3128 (4.3128)	Top-1 acc 23.828 (23.828)	Top-5 acc 44.141 (44.141)	lr 0.01543
Warmup Train [26][10/2134]	Time 0.714 (1.787)	Data 0.004 (0.937)	Loss 4.2832 (4.3209)	Top-1 acc 22.266 (23.295)	Top-5 acc 43.750 (45.561)	lr 0.01542
Warmup Train [26][20/2134]	Time 0.625 (1.236)	Data 0.002 (0.492)	Loss 4.4127 (4.3759)	Top-1 acc 20.703 (22.359)	Top-5 acc 44.531 (44.234)	lr 0.01542
Warmup Train [26][30/2134]	Time 0.546 (1.037)	Data 0.002 (0.335)	Loss 4.4789 (4.3702)	Top-1 acc 19.141 (22.404)	Top-5 acc 40.625 (44.456)	lr 0.01541
Warmup Train [26][40/2134]	Time 0.613 (0.946)	Data 0.002 (0.257)	Loss 4.3251 (4.3573)	Top-1 acc 23.828 (22.466)	Top-5 acc 47.656 (44.788)	lr 0.01540
Warmup Train [26][50/2134]	Time 0.641 (0.881)	Data 0.002 (0.208)	Loss 4.2134 (4.3543)	Top-1 acc 21.094 (22.534)	Top-5 acc 47.656 (44.769)	lr 0.01539
Warmup Train [26][60/2134]	Time 0.628 (0.839)	Data 0.002 (0.174)	Loss 4.1424 (4.3600)	Top-1 acc 28.125 (22.413)	Top-5 acc 47.266 (44.749)	lr 0.01538
Warmup Train [26][70/2134]	Time 0.637 (0.811)	Data 0.002 (0.150)	Loss 4.1412 (4.3508)	Top-1 acc 26.172 (22.640)	Top-5 acc 51.562 (45.026)	lr 0.01537
Warmup Train [26][80/2134]	Time 0.670 (0.787)	Data 0.003 (0.132)	Loss 4.2480 (4.3456)	Top-1 acc 26.953 (22.724)	Top-5 acc 49.609 (45.240)	lr 0.01536
Warmup Train [26][90/2134]	Time 0.851 (0.768)	Data 0.002 (0.118)	Loss 4.2336 (4.3555)	Top-1 acc 21.875 (22.493)	Top-5 acc 46.094 (44.935)	lr 0.01536
Warmup Train [26][100/2134]	Time 0.522 (0.752)	Data 0.002 (0.106)	Loss 4.1823 (4.3483)	Top-1 acc 24.219 (22.502)	Top-5 acc 48.438 (45.146)	lr 0.01535
Warmup Train [26][110/2134]	Time 0.643 (0.741)	Data 0.002 (0.098)	Loss 4.2309 (4.3519)	Top-1 acc 26.172 (22.438)	Top-5 acc 50.000 (45.066)	lr 0.01534
Warmup Train [26][120/2134]	Time 0.811 (0.731)	Data 0.004 (0.090)	Loss 4.2058 (4.3498)	Top-1 acc 24.219 (22.421)	Top-5 acc 50.000 (45.090)	lr 0.01533
Warmup Train [26][130/2134]	Time 0.629 (0.721)	Data 0.002 (0.084)	Loss 4.3697 (4.3484)	Top-1 acc 20.312 (22.421)	Top-5 acc 45.312 (45.134)	lr 0.01532
Warmup Train [26][140/2134]	Time 0.775 (0.714)	Data 0.004 (0.078)	Loss 4.3554 (4.3499)	Top-1 acc 22.266 (22.451)	Top-5 acc 44.531 (45.033)	lr 0.01531
Warmup Train [26][150/2134]	Time 0.510 (0.705)	Data 0.002 (0.073)	Loss 4.3771 (4.3548)	Top-1 acc 19.922 (22.335)	Top-5 acc 46.484 (44.961)	lr 0.01531
Warmup Train [26][160/2134]	Time 0.342 (0.698)	Data 0.003 (0.069)	Loss 4.5291 (4.3570)	Top-1 acc 20.312 (22.341)	Top-5 acc 38.281 (44.905)	lr 0.01530
Warmup Train [26][170/2134]	Time 0.679 (0.688)	Data 0.002 (0.066)	Loss 4.2467 (4.3577)	Top-1 acc 24.609 (22.384)	Top-5 acc 44.141 (44.892)	lr 0.01529
Warmup Train [26][180/2134]	Time 0.414 (0.679)	Data 0.002 (0.063)	Loss 4.3261 (4.3611)	Top-1 acc 23.828 (22.326)	Top-5 acc 41.797 (44.738)	lr 0.01528
Warmup Train [26][190/2134]	Time 0.598 (0.677)	Data 0.002 (0.060)	Loss 4.2374 (4.3624)	Top-1 acc 23.047 (22.309)	Top-5 acc 48.047 (44.732)	lr 0.01527
Warmup Train [26][200/2134]	Time 0.591 (0.690)	Data 0.002 (0.057)	Loss 4.4597 (4.3614)	Top-1 acc 21.094 (22.328)	Top-5 acc 44.531 (44.737)	lr 0.01526
Warmup Train [26][210/2134]	Time 0.626 (0.685)	Data 0.002 (0.055)	Loss 4.4110 (4.3626)	Top-1 acc 23.828 (22.273)	Top-5 acc 46.875 (44.727)	lr 0.01525
Warmup Train [26][220/2134]	Time 0.417 (0.681)	Data 0.002 (0.052)	Loss 4.4257 (4.3648)	Top-1 acc 22.266 (22.225)	Top-5 acc 40.625 (44.680)	lr 0.01525
Warmup Train [26][230/2134]	Time 0.627 (0.679)	Data 0.002 (0.051)	Loss 4.2435 (4.3628)	Top-1 acc 20.312 (22.284)	Top-5 acc 45.312 (44.719)	lr 0.01524
Warmup Train [26][240/2134]	Time 0.714 (0.676)	Data 0.002 (0.049)	Loss 4.3047 (4.3628)	Top-1 acc 23.828 (22.285)	Top-5 acc 45.312 (44.721)	lr 0.01523
Warmup Train [26][250/2134]	Time 0.776 (0.673)	Data 0.004 (0.047)	Loss 4.3669 (4.3616)	Top-1 acc 19.141 (22.283)	Top-5 acc 41.797 (44.698)	lr 0.01522
Warmup Train [26][260/2134]	Time 0.791 (0.672)	Data 0.002 (0.046)	Loss 4.3219 (4.3607)	Top-1 acc 23.047 (22.331)	Top-5 acc 43.359 (44.693)	lr 0.01521
Warmup Train [26][270/2134]	Time 0.511 (0.670)	Data 0.004 (0.044)	Loss 4.2498 (4.3613)	Top-1 acc 23.828 (22.330)	Top-5 acc 49.219 (44.711)	lr 0.01520
Warmup Train [26][280/2134]	Time 0.520 (0.668)	Data 0.002 (0.043)	Loss 4.3546 (4.3624)	Top-1 acc 23.047 (22.307)	Top-5 acc 48.047 (44.722)	lr 0.01520
Warmup Train [26][290/2134]	Time 0.719 (0.667)	Data 0.003 (0.042)	Loss 4.1749 (4.3622)	Top-1 acc 23.828 (22.287)	Top-5 acc 45.703 (44.702)	lr 0.01519
Warmup Train [26][300/2134]	Time 0.691 (0.666)	Data 0.002 (0.041)	Loss 4.3599 (4.3621)	Top-1 acc 19.922 (22.247)	Top-5 acc 45.312 (44.697)	lr 0.01518
Warmup Train [26][310/2134]	Time 0.456 (0.664)	Data 0.004 (0.039)	Loss 4.5124 (4.3630)	Top-1 acc 15.625 (22.176)	Top-5 acc 39.062 (44.701)	lr 0.01517
Warmup Train [26][320/2134]	Time 0.610 (0.663)	Data 0.003 (0.039)	Loss 4.3781 (4.3612)	Top-1 acc 19.922 (22.195)	Top-5 acc 41.016 (44.738)	lr 0.01516
Warmup Train [26][330/2134]	Time 0.519 (0.662)	Data 0.003 (0.038)	Loss 4.3227 (4.3626)	Top-1 acc 25.781 (22.197)	Top-5 acc 48.047 (44.721)	lr 0.01515
Warmup Train [26][340/2134]	Time 0.512 (0.660)	Data 0.002 (0.037)	Loss 4.2662 (4.3627)	Top-1 acc 22.656 (22.200)	Top-5 acc 47.656 (44.739)	lr 0.01514
Warmup Train [26][350/2134]	Time 0.472 (0.658)	Data 0.002 (0.036)	Loss 4.3675 (4.3641)	Top-1 acc 22.266 (22.173)	Top-5 acc 40.625 (44.714)	lr 0.01514
Warmup Train [26][360/2134]	Time 0.343 (0.656)	Data 0.002 (0.035)	Loss 4.4806 (4.3647)	Top-1 acc 19.922 (22.174)	Top-5 acc 40.625 (44.705)	lr 0.01513
Warmup Train [26][370/2134]	Time 0.715 (0.656)	Data 0.002 (0.035)	Loss 4.3577 (4.3657)	Top-1 acc 21.875 (22.182)	Top-5 acc 45.703 (44.666)	lr 0.01512
Warmup Train [26][380/2134]	Time 0.477 (0.655)	Data 0.003 (0.034)	Loss 4.4485 (4.3659)	Top-1 acc 21.094 (22.169)	Top-5 acc 39.453 (44.642)	lr 0.01511
Warmup Train [26][390/2134]	Time 0.712 (0.654)	Data 0.003 (0.034)	Loss 4.3010 (4.3675)	Top-1 acc 21.484 (22.113)	Top-5 acc 46.094 (44.604)	lr 0.01510
Warmup Train [26][400/2134]	Time 0.685 (0.653)	Data 0.004 (0.033)	Loss 4.4376 (4.3682)	Top-1 acc 17.578 (22.087)	Top-5 acc 39.844 (44.566)	lr 0.01509
Warmup Train [26][410/2134]	Time 0.450 (0.651)	Data 0.002 (0.032)	Loss 4.6412 (4.3699)	Top-1 acc 16.016 (22.059)	Top-5 acc 37.109 (44.552)	lr 0.01509
Warmup Train [26][420/2134]	Time 0.432 (0.650)	Data 0.003 (0.032)	Loss 4.3864 (4.3700)	Top-1 acc 23.438 (22.055)	Top-5 acc 42.578 (44.529)	lr 0.01508
Warmup Train [26][430/2134]	Time 0.707 (0.651)	Data 0.003 (0.031)	Loss 4.3316 (4.3696)	Top-1 acc 18.359 (22.054)	Top-5 acc 43.750 (44.526)	lr 0.01507
Warmup Train [26][440/2134]	Time 0.648 (0.650)	Data 0.003 (0.031)	Loss 4.3836 (4.3695)	Top-1 acc 22.656 (22.042)	Top-5 acc 42.578 (44.499)	lr 0.01506
Warmup Train [26][450/2134]	Time 0.767 (0.655)	Data 0.003 (0.030)	Loss 4.3613 (4.3688)	Top-1 acc 22.656 (22.039)	Top-5 acc 41.406 (44.503)	lr 0.01505
Warmup Train [26][460/2134]	Time 0.579 (0.654)	Data 0.003 (0.030)	Loss 4.5386 (4.3685)	Top-1 acc 21.094 (22.045)	Top-5 acc 39.453 (44.494)	lr 0.01504
Warmup Train [26][470/2134]	Time 0.559 (0.653)	Data 0.004 (0.029)	Loss 4.3427 (4.3688)	Top-1 acc 22.266 (22.022)	Top-5 acc 47.266 (44.471)	lr 0.01504
Warmup Train [26][480/2134]	Time 0.597 (0.652)	Data 0.002 (0.029)	Loss 4.3635 (4.3697)	Top-1 acc 20.312 (21.990)	Top-5 acc 46.875 (44.449)	lr 0.01503
Warmup Train [26][490/2134]	Time 0.654 (0.652)	Data 0.002 (0.028)	Loss 4.3331 (4.3706)	Top-1 acc 19.141 (21.956)	Top-5 acc 42.969 (44.421)	lr 0.01502
Warmup Train [26][500/2134]	Time 0.680 (0.651)	Data 0.002 (0.028)	Loss 4.3256 (4.3707)	Top-1 acc 22.656 (21.942)	Top-5 acc 43.750 (44.417)	lr 0.01501
Warmup Train [26][510/2134]	Time 0.445 (0.650)	Data 0.002 (0.027)	Loss 4.1397 (4.3705)	Top-1 acc 25.000 (21.932)	Top-5 acc 48.438 (44.400)	lr 0.01500
Warmup Train [26][520/2134]	Time 0.735 (0.650)	Data 0.002 (0.027)	Loss 4.3694 (4.3698)	Top-1 acc 23.047 (21.927)	Top-5 acc 44.922 (44.405)	lr 0.01499
Warmup Train [26][530/2134]	Time 0.598 (0.649)	Data 0.002 (0.027)	Loss 4.3767 (4.3701)	Top-1 acc 21.094 (21.926)	Top-5 acc 44.531 (44.413)	lr 0.01498
Warmup Train [26][540/2134]	Time 0.533 (0.648)	Data 0.002 (0.026)	Loss 4.5587 (4.3712)	Top-1 acc 19.531 (21.907)	Top-5 acc 42.969 (44.386)	lr 0.01498
Warmup Train [26][550/2134]	Time 0.660 (0.648)	Data 0.003 (0.026)	Loss 4.5915 (4.3718)	Top-1 acc 17.188 (21.889)	Top-5 acc 37.109 (44.367)	lr 0.01497
Warmup Train [26][560/2134]	Time 0.577 (0.647)	Data 0.002 (0.025)	Loss 4.3689 (4.3722)	Top-1 acc 25.000 (21.881)	Top-5 acc 44.531 (44.372)	lr 0.01496
Warmup Train [26][570/2134]	Time 0.658 (0.646)	Data 0.003 (0.025)	Loss 4.4350 (4.3719)	Top-1 acc 20.312 (21.874)	Top-5 acc 37.500 (44.347)	lr 0.01495
Warmup Train [26][580/2134]	Time 0.760 (0.646)	Data 0.004 (0.025)	Loss 4.1819 (4.3717)	Top-1 acc 26.953 (21.884)	Top-5 acc 47.656 (44.346)	lr 0.01494
Warmup Train [26][590/2134]	Time 0.630 (0.645)	Data 0.004 (0.024)	Loss 4.5344 (4.3725)	Top-1 acc 20.312 (21.851)	Top-5 acc 42.578 (44.324)	lr 0.01493
Warmup Train [26][600/2134]	Time 0.501 (0.644)	Data 0.002 (0.024)	Loss 4.3251 (4.3724)	Top-1 acc 23.828 (21.863)	Top-5 acc 46.484 (44.324)	lr 0.01493
Warmup Train [26][610/2134]	Time 0.658 (0.644)	Data 0.002 (0.024)	Loss 4.3951 (4.3718)	Top-1 acc 19.922 (21.868)	Top-5 acc 44.141 (44.332)	lr 0.01492
Warmup Train [26][620/2134]	Time 0.505 (0.643)	Data 0.002 (0.024)	Loss 4.3222 (4.3720)	Top-1 acc 22.266 (21.864)	Top-5 acc 45.312 (44.344)	lr 0.01491
Warmup Train [26][630/2134]	Time 0.452 (0.643)	Data 0.002 (0.023)	Loss 4.3655 (4.3728)	Top-1 acc 20.312 (21.841)	Top-5 acc 44.531 (44.310)	lr 0.01490
Warmup Train [26][640/2134]	Time 0.574 (0.643)	Data 0.002 (0.023)	Loss 4.4365 (4.3730)	Top-1 acc 18.750 (21.839)	Top-5 acc 38.672 (44.290)	lr 0.01489
Warmup Train [26][650/2134]	Time 0.636 (0.643)	Data 0.002 (0.023)	Loss 4.1328 (4.3724)	Top-1 acc 24.609 (21.858)	Top-5 acc 48.047 (44.315)	lr 0.01488
Warmup Train [26][660/2134]	Time 0.737 (0.643)	Data 0.002 (0.023)	Loss 4.5197 (4.3725)	Top-1 acc 19.922 (21.852)	Top-5 acc 39.062 (44.316)	lr 0.01488
Warmup Train [26][670/2134]	Time 0.676 (0.642)	Data 0.002 (0.023)	Loss 4.4773 (4.3730)	Top-1 acc 20.703 (21.841)	Top-5 acc 42.578 (44.302)	lr 0.01487
Warmup Train [26][680/2134]	Time 0.670 (0.642)	Data 0.002 (0.022)	Loss 4.3001 (4.3730)	Top-1 acc 23.438 (21.837)	Top-5 acc 47.656 (44.305)	lr 0.01486
Warmup Train [26][690/2134]	Time 0.686 (0.641)	Data 0.003 (0.022)	Loss 4.2376 (4.3726)	Top-1 acc 23.047 (21.852)	Top-5 acc 46.094 (44.302)	lr 0.01485
Warmup Train [26][700/2134]	Time 0.527 (0.644)	Data 0.002 (0.022)	Loss 4.3062 (4.3730)	Top-1 acc 24.609 (21.850)	Top-5 acc 48.047 (44.308)	lr 0.01484
Warmup Train [26][710/2134]	Time 0.697 (0.644)	Data 0.002 (0.022)	Loss 4.4410 (4.3731)	Top-1 acc 19.531 (21.852)	Top-5 acc 39.844 (44.306)	lr 0.01483
Warmup Train [26][720/2134]	Time 0.633 (0.643)	Data 0.003 (0.021)	Loss 4.4435 (4.3728)	Top-1 acc 22.656 (21.859)	Top-5 acc 42.578 (44.325)	lr 0.01482
Warmup Train [26][730/2134]	Time 0.669 (0.643)	Data 0.002 (0.021)	Loss 4.3304 (4.3735)	Top-1 acc 22.656 (21.850)	Top-5 acc 46.094 (44.317)	lr 0.01482
Warmup Train [26][740/2134]	Time 0.663 (0.642)	Data 0.002 (0.021)	Loss 4.3980 (4.3737)	Top-1 acc 19.922 (21.841)	Top-5 acc 42.578 (44.308)	lr 0.01481
Warmup Train [26][750/2134]	Time 0.458 (0.642)	Data 0.002 (0.021)	Loss 4.4704 (4.3732)	Top-1 acc 21.875 (21.843)	Top-5 acc 43.750 (44.321)	lr 0.01480
Warmup Train [26][760/2134]	Time 0.674 (0.641)	Data 0.003 (0.021)	Loss 4.3524 (4.3738)	Top-1 acc 25.391 (21.836)	Top-5 acc 44.531 (44.310)	lr 0.01479
Warmup Train [26][770/2134]	Time 0.418 (0.641)	Data 0.002 (0.020)	Loss 4.5958 (4.3737)	Top-1 acc 20.703 (21.839)	Top-5 acc 36.328 (44.318)	lr 0.01478
Warmup Train [26][780/2134]	Time 0.611 (0.640)	Data 0.003 (0.020)	Loss 4.3233 (4.3742)	Top-1 acc 23.828 (21.830)	Top-5 acc 46.484 (44.303)	lr 0.01477
Warmup Train [26][790/2134]	Time 0.784 (0.640)	Data 0.002 (0.020)	Loss 4.2882 (4.3743)	Top-1 acc 25.000 (21.834)	Top-5 acc 44.922 (44.297)	lr 0.01477
Warmup Train [26][800/2134]	Time 0.414 (0.640)	Data 0.003 (0.020)	Loss 4.4607 (4.3745)	Top-1 acc 18.750 (21.845)	Top-5 acc 44.141 (44.295)	lr 0.01476
Warmup Train [26][810/2134]	Time 0.604 (0.640)	Data 0.002 (0.020)	Loss 4.2913 (4.3740)	Top-1 acc 23.047 (21.869)	Top-5 acc 46.484 (44.324)	lr 0.01475
Warmup Train [26][820/2134]	Time 0.562 (0.639)	Data 0.002 (0.020)	Loss 4.4381 (4.3736)	Top-1 acc 24.219 (21.882)	Top-5 acc 43.750 (44.325)	lr 0.01474
Warmup Train [26][830/2134]	Time 0.438 (0.639)	Data 0.002 (0.020)	Loss 4.1363 (4.3729)	Top-1 acc 29.297 (21.895)	Top-5 acc 50.391 (44.354)	lr 0.01473
Warmup Train [26][840/2134]	Time 0.611 (0.638)	Data 0.003 (0.020)	Loss 4.2790 (4.3721)	Top-1 acc 23.828 (21.920)	Top-5 acc 50.000 (44.378)	lr 0.01472
Warmup Train [26][850/2134]	Time 0.567 (0.638)	Data 0.003 (0.019)	Loss 4.5287 (4.3732)	Top-1 acc 18.750 (21.908)	Top-5 acc 40.625 (44.350)	lr 0.01472
Warmup Train [26][860/2134]	Time 0.656 (0.638)	Data 0.003 (0.019)	Loss 4.4089 (4.3735)	Top-1 acc 19.531 (21.900)	Top-5 acc 41.797 (44.332)	lr 0.01471
Warmup Train [26][870/2134]	Time 0.642 (0.638)	Data 0.004 (0.019)	Loss 4.3119 (4.3735)	Top-1 acc 21.875 (21.906)	Top-5 acc 45.312 (44.330)	lr 0.01470
Warmup Train [26][880/2134]	Time 0.684 (0.637)	Data 0.002 (0.019)	Loss 4.6460 (4.3740)	Top-1 acc 15.625 (21.897)	Top-5 acc 36.328 (44.316)	lr 0.01469
Warmup Train [26][890/2134]	Time 0.604 (0.637)	Data 0.002 (0.019)	Loss 4.3779 (4.3742)	Top-1 acc 17.578 (21.889)	Top-5 acc 41.016 (44.304)	lr 0.01468
Warmup Train [26][900/2134]	Time 0.605 (0.637)	Data 0.002 (0.019)	Loss 4.4269 (4.3742)	Top-1 acc 21.094 (21.890)	Top-5 acc 43.359 (44.305)	lr 0.01467
Warmup Train [26][910/2134]	Time 0.717 (0.637)	Data 0.002 (0.018)	Loss 4.3665 (4.3744)	Top-1 acc 20.703 (21.878)	Top-5 acc 42.578 (44.292)	lr 0.01467
Warmup Train [26][920/2134]	Time 0.681 (0.636)	Data 0.002 (0.018)	Loss 4.3690 (4.3738)	Top-1 acc 24.609 (21.892)	Top-5 acc 45.312 (44.306)	lr 0.01466
Warmup Train [26][930/2134]	Time 0.664 (0.636)	Data 0.002 (0.018)	Loss 4.1809 (4.3733)	Top-1 acc 27.344 (21.898)	Top-5 acc 46.094 (44.308)	lr 0.01465
Warmup Train [26][940/2134]	Time 0.564 (0.639)	Data 0.002 (0.018)	Loss 4.3450 (4.3731)	Top-1 acc 22.266 (21.904)	Top-5 acc 48.047 (44.317)	lr 0.01464
Warmup Train [26][950/2134]	Time 0.669 (0.638)	Data 0.002 (0.018)	Loss 4.4094 (4.3732)	Top-1 acc 20.703 (21.900)	Top-5 acc 44.531 (44.318)	lr 0.01463
Warmup Train [26][960/2134]	Time 0.616 (0.638)	Data 0.002 (0.018)	Loss 4.3561 (4.3732)	Top-1 acc 24.609 (21.903)	Top-5 acc 43.359 (44.313)	lr 0.01462
Warmup Train [26][970/2134]	Time 0.507 (0.638)	Data 0.002 (0.017)	Loss 4.4935 (4.3731)	Top-1 acc 21.875 (21.916)	Top-5 acc 42.188 (44.316)	lr 0.01462
Warmup Train [26][980/2134]	Time 0.605 (0.638)	Data 0.002 (0.017)	Loss 4.1731 (4.3726)	Top-1 acc 25.000 (21.913)	Top-5 acc 51.562 (44.317)	lr 0.01461
Warmup Train [26][990/2134]	Time 0.542 (0.637)	Data 0.002 (0.017)	Loss 4.1661 (4.3723)	Top-1 acc 26.172 (21.922)	Top-5 acc 51.562 (44.325)	lr 0.01460
Warmup Train [26][1000/2134]	Time 0.631 (0.637)	Data 0.003 (0.017)	Loss 4.3180 (4.3721)	Top-1 acc 21.875 (21.920)	Top-5 acc 47.266 (44.328)	lr 0.01459
Warmup Train [26][1010/2134]	Time 0.722 (0.637)	Data 0.002 (0.017)	Loss 4.2467 (4.3713)	Top-1 acc 23.438 (21.931)	Top-5 acc 47.266 (44.345)	lr 0.01458
Warmup Train [26][1020/2134]	Time 0.721 (0.637)	Data 0.003 (0.017)	Loss 4.4018 (4.3711)	Top-1 acc 20.312 (21.930)	Top-5 acc 42.969 (44.349)	lr 0.01457
Warmup Train [26][1030/2134]	Time 0.680 (0.637)	Data 0.002 (0.017)	Loss 4.2938 (4.3707)	Top-1 acc 23.438 (21.936)	Top-5 acc 44.922 (44.362)	lr 0.01456
Warmup Train [26][1040/2134]	Time 0.493 (0.636)	Data 0.003 (0.017)	Loss 4.2413 (4.3702)	Top-1 acc 22.266 (21.937)	Top-5 acc 45.703 (44.378)	lr 0.01456
Warmup Train [26][1050/2134]	Time 0.638 (0.636)	Data 0.002 (0.017)	Loss 4.3259 (4.3703)	Top-1 acc 23.438 (21.942)	Top-5 acc 44.531 (44.384)	lr 0.01455
Warmup Train [26][1060/2134]	Time 0.766 (0.636)	Data 0.002 (0.017)	Loss 4.4166 (4.3700)	Top-1 acc 22.266 (21.950)	Top-5 acc 45.312 (44.391)	lr 0.01454
Warmup Train [26][1070/2134]	Time 0.694 (0.636)	Data 0.002 (0.017)	Loss 4.3753 (4.3703)	Top-1 acc 20.703 (21.942)	Top-5 acc 47.266 (44.386)	lr 0.01453
Warmup Train [26][1080/2134]	Time 0.429 (0.635)	Data 0.002 (0.016)	Loss 4.4202 (4.3706)	Top-1 acc 20.312 (21.940)	Top-5 acc 41.016 (44.383)	lr 0.01452
Warmup Train [26][1090/2134]	Time 0.786 (0.636)	Data 0.003 (0.016)	Loss 4.2800 (4.3705)	Top-1 acc 23.047 (21.943)	Top-5 acc 42.188 (44.384)	lr 0.01451
Warmup Train [26][1100/2134]	Time 0.589 (0.635)	Data 0.004 (0.016)	Loss 4.4009 (4.3701)	Top-1 acc 22.266 (21.947)	Top-5 acc 43.750 (44.391)	lr 0.01451
Warmup Train [26][1110/2134]	Time 0.660 (0.635)	Data 0.002 (0.016)	Loss 4.2842 (4.3708)	Top-1 acc 28.516 (21.942)	Top-5 acc 45.312 (44.365)	lr 0.01450
Warmup Train [26][1120/2134]	Time 0.644 (0.635)	Data 0.002 (0.016)	Loss 4.3053 (4.3702)	Top-1 acc 24.609 (21.956)	Top-5 acc 45.703 (44.381)	lr 0.01449
Warmup Train [26][1130/2134]	Time 0.613 (0.635)	Data 0.003 (0.016)	Loss 4.2634 (4.3702)	Top-1 acc 25.391 (21.952)	Top-5 acc 46.875 (44.383)	lr 0.01448
Warmup Train [26][1140/2134]	Time 0.484 (0.635)	Data 0.003 (0.016)	Loss 4.4785 (4.3700)	Top-1 acc 22.266 (21.967)	Top-5 acc 44.922 (44.399)	lr 0.01447
Warmup Train [26][1150/2134]	Time 0.621 (0.634)	Data 0.002 (0.016)	Loss 4.5164 (4.3701)	Top-1 acc 19.922 (21.967)	Top-5 acc 38.672 (44.389)	lr 0.01446
Warmup Train [26][1160/2134]	Time 0.781 (0.634)	Data 0.004 (0.016)	Loss 4.2362 (4.3703)	Top-1 acc 23.828 (21.959)	Top-5 acc 47.656 (44.377)	lr 0.01446
Warmup Train [26][1170/2134]	Time 0.628 (0.634)	Data 0.003 (0.016)	Loss 4.1546 (4.3697)	Top-1 acc 25.781 (21.966)	Top-5 acc 51.172 (44.388)	lr 0.01445
Warmup Train [26][1180/2134]	Time 0.690 (0.634)	Data 0.002 (0.016)	Loss 4.1825 (4.3693)	Top-1 acc 28.125 (21.976)	Top-5 acc 48.438 (44.402)	lr 0.01444
Warmup Train [26][1190/2134]	Time 0.757 (0.636)	Data 0.002 (0.016)	Loss 4.3698 (4.3686)	Top-1 acc 20.703 (21.990)	Top-5 acc 43.359 (44.420)	lr 0.01443
Warmup Train [26][1200/2134]	Time 0.618 (0.636)	Data 0.002 (0.016)	Loss 4.3786 (4.3690)	Top-1 acc 18.750 (21.983)	Top-5 acc 41.797 (44.414)	lr 0.01442
Warmup Train [26][1210/2134]	Time 0.626 (0.636)	Data 0.002 (0.015)	Loss 4.3116 (4.3691)	Top-1 acc 22.266 (21.983)	Top-5 acc 44.922 (44.404)	lr 0.01441
Warmup Train [26][1220/2134]	Time 0.439 (0.635)	Data 0.003 (0.015)	Loss 4.5086 (4.3692)	Top-1 acc 19.922 (21.989)	Top-5 acc 40.234 (44.396)	lr 0.01441
Warmup Train [26][1230/2134]	Time 0.461 (0.635)	Data 0.002 (0.015)	Loss 4.3343 (4.3688)	Top-1 acc 23.438 (21.991)	Top-5 acc 43.359 (44.403)	lr 0.01440
Warmup Train [26][1240/2134]	Time 0.617 (0.635)	Data 0.002 (0.015)	Loss 4.3667 (4.3685)	Top-1 acc 22.266 (21.994)	Top-5 acc 47.656 (44.411)	lr 0.01439
Warmup Train [26][1250/2134]	Time 0.696 (0.635)	Data 0.004 (0.015)	Loss 4.2739 (4.3683)	Top-1 acc 25.391 (22.007)	Top-5 acc 48.438 (44.421)	lr 0.01438
Warmup Train [26][1260/2134]	Time 0.621 (0.634)	Data 0.002 (0.015)	Loss 4.1877 (4.3675)	Top-1 acc 21.094 (22.026)	Top-5 acc 45.703 (44.440)	lr 0.01437
Warmup Train [26][1270/2134]	Time 0.533 (0.634)	Data 0.002 (0.015)	Loss 4.4137 (4.3673)	Top-1 acc 22.266 (22.039)	Top-5 acc 40.625 (44.445)	lr 0.01436
Warmup Train [26][1280/2134]	Time 0.516 (0.634)	Data 0.003 (0.015)	Loss 4.3527 (4.3672)	Top-1 acc 20.703 (22.034)	Top-5 acc 43.359 (44.450)	lr 0.01436
Warmup Train [26][1290/2134]	Time 0.622 (0.634)	Data 0.002 (0.015)	Loss 4.4739 (4.3672)	Top-1 acc 18.750 (22.031)	Top-5 acc 44.141 (44.456)	lr 0.01435
Warmup Train [26][1300/2134]	Time 0.533 (0.633)	Data 0.002 (0.015)	Loss 4.1700 (4.3667)	Top-1 acc 26.172 (22.044)	Top-5 acc 48.438 (44.474)	lr 0.01434
Warmup Train [26][1310/2134]	Time 0.533 (0.633)	Data 0.002 (0.015)	Loss 4.2158 (4.3665)	Top-1 acc 25.000 (22.043)	Top-5 acc 48.828 (44.467)	lr 0.01433
Warmup Train [26][1320/2134]	Time 0.450 (0.633)	Data 0.002 (0.015)	Loss 4.4613 (4.3664)	Top-1 acc 21.875 (22.050)	Top-5 acc 43.750 (44.478)	lr 0.01432
Warmup Train [26][1330/2134]	Time 0.721 (0.633)	Data 0.002 (0.015)	Loss 4.3922 (4.3666)	Top-1 acc 21.875 (22.052)	Top-5 acc 46.094 (44.478)	lr 0.01431
Warmup Train [26][1340/2134]	Time 0.685 (0.633)	Data 0.002 (0.015)	Loss 4.3988 (4.3666)	Top-1 acc 22.266 (22.058)	Top-5 acc 43.750 (44.480)	lr 0.01431
Warmup Train [26][1350/2134]	Time 0.619 (0.632)	Data 0.002 (0.015)	Loss 4.4268 (4.3667)	Top-1 acc 21.875 (22.059)	Top-5 acc 42.578 (44.476)	lr 0.01430
Warmup Train [26][1360/2134]	Time 0.642 (0.632)	Data 0.002 (0.015)	Loss 4.3225 (4.3663)	Top-1 acc 20.703 (22.068)	Top-5 acc 42.969 (44.493)	lr 0.01429
Warmup Train [26][1370/2134]	Time 0.556 (0.632)	Data 0.002 (0.015)	Loss 4.3006 (4.3660)	Top-1 acc 26.562 (22.073)	Top-5 acc 50.391 (44.504)	lr 0.01428
Warmup Train [26][1380/2134]	Time 0.585 (0.632)	Data 0.002 (0.015)	Loss 4.3734 (4.3657)	Top-1 acc 25.000 (22.077)	Top-5 acc 45.703 (44.511)	lr 0.01427
Warmup Train [26][1390/2134]	Time 0.523 (0.632)	Data 0.002 (0.015)	Loss 4.3253 (4.3659)	Top-1 acc 22.656 (22.077)	Top-5 acc 43.750 (44.505)	lr 0.01426
Warmup Train [26][1400/2134]	Time 0.629 (0.632)	Data 0.002 (0.015)	Loss 4.3147 (4.3657)	Top-1 acc 22.656 (22.084)	Top-5 acc 47.266 (44.512)	lr 0.01426
Warmup Train [26][1410/2134]	Time 0.708 (0.632)	Data 0.002 (0.014)	Loss 4.3901 (4.3652)	Top-1 acc 19.922 (22.098)	Top-5 acc 46.094 (44.528)	lr 0.01425
Warmup Train [26][1420/2134]	Time 0.629 (0.631)	Data 0.002 (0.014)	Loss 4.4389 (4.3651)	Top-1 acc 17.188 (22.092)	Top-5 acc 43.359 (44.524)	lr 0.01424
Warmup Train [26][1430/2134]	Time 0.671 (0.631)	Data 0.002 (0.014)	Loss 4.4424 (4.3648)	Top-1 acc 17.578 (22.096)	Top-5 acc 42.969 (44.531)	lr 0.01423
Warmup Train [26][1440/2134]	Time 0.686 (0.633)	Data 0.002 (0.014)	Loss 4.3773 (4.3647)	Top-1 acc 19.922 (22.097)	Top-5 acc 44.531 (44.532)	lr 0.01422
Warmup Train [26][1450/2134]	Time 0.703 (0.632)	Data 0.002 (0.014)	Loss 4.2736 (4.3651)	Top-1 acc 24.219 (22.091)	Top-5 acc 43.750 (44.524)	lr 0.01422
Warmup Train [26][1460/2134]	Time 0.720 (0.632)	Data 0.003 (0.014)	Loss 4.2526 (4.3652)	Top-1 acc 20.312 (22.083)	Top-5 acc 51.172 (44.528)	lr 0.01421
Warmup Train [26][1470/2134]	Time 0.570 (0.632)	Data 0.002 (0.014)	Loss 4.2627 (4.3649)	Top-1 acc 23.828 (22.094)	Top-5 acc 48.828 (44.541)	lr 0.01420
Warmup Train [26][1480/2134]	Time 0.675 (0.632)	Data 0.002 (0.014)	Loss 4.4085 (4.3649)	Top-1 acc 20.703 (22.088)	Top-5 acc 45.703 (44.545)	lr 0.01419
Warmup Train [26][1490/2134]	Time 0.593 (0.632)	Data 0.002 (0.014)	Loss 4.4089 (4.3651)	Top-1 acc 25.391 (22.087)	Top-5 acc 41.797 (44.533)	lr 0.01418
Warmup Train [26][1500/2134]	Time 0.742 (0.632)	Data 0.004 (0.014)	Loss 4.3629 (4.3653)	Top-1 acc 23.047 (22.088)	Top-5 acc 46.875 (44.535)	lr 0.01417
Warmup Train [26][1510/2134]	Time 0.646 (0.632)	Data 0.003 (0.014)	Loss 4.5177 (4.3655)	Top-1 acc 19.922 (22.086)	Top-5 acc 43.359 (44.538)	lr 0.01417
Warmup Train [26][1520/2134]	Time 0.478 (0.631)	Data 0.003 (0.014)	Loss 4.2922 (4.3652)	Top-1 acc 22.656 (22.086)	Top-5 acc 44.922 (44.542)	lr 0.01416
Warmup Train [26][1530/2134]	Time 0.440 (0.631)	Data 0.004 (0.014)	Loss 4.3947 (4.3653)	Top-1 acc 20.312 (22.090)	Top-5 acc 44.531 (44.540)	lr 0.01415
Warmup Train [26][1540/2134]	Time 0.586 (0.631)	Data 0.002 (0.014)	Loss 4.4481 (4.3653)	Top-1 acc 19.922 (22.095)	Top-5 acc 41.016 (44.534)	lr 0.01414
Warmup Train [26][1550/2134]	Time 0.507 (0.631)	Data 0.002 (0.014)	Loss 4.3448 (4.3655)	Top-1 acc 21.484 (22.098)	Top-5 acc 44.922 (44.531)	lr 0.01413
Warmup Train [26][1560/2134]	Time 0.710 (0.631)	Data 0.002 (0.014)	Loss 4.3782 (4.3655)	Top-1 acc 22.266 (22.102)	Top-5 acc 45.703 (44.529)	lr 0.01412
Warmup Train [26][1570/2134]	Time 0.636 (0.631)	Data 0.002 (0.014)	Loss 4.4454 (4.3650)	Top-1 acc 22.266 (22.110)	Top-5 acc 43.750 (44.543)	lr 0.01412
Warmup Train [26][1580/2134]	Time 0.584 (0.631)	Data 0.002 (0.014)	Loss 4.2337 (4.3650)	Top-1 acc 24.219 (22.108)	Top-5 acc 48.828 (44.543)	lr 0.01411
Warmup Train [26][1590/2134]	Time 0.553 (0.630)	Data 0.002 (0.014)	Loss 4.5173 (4.3647)	Top-1 acc 19.922 (22.116)	Top-5 acc 38.672 (44.548)	lr 0.01410
Warmup Train [26][1600/2134]	Time 0.514 (0.630)	Data 0.002 (0.014)	Loss 4.4398 (4.3646)	Top-1 acc 22.266 (22.110)	Top-5 acc 40.234 (44.551)	lr 0.01409
Warmup Train [26][1610/2134]	Time 0.505 (0.630)	Data 0.002 (0.014)	Loss 4.5039 (4.3646)	Top-1 acc 16.406 (22.110)	Top-5 acc 38.672 (44.544)	lr 0.01408
Warmup Train [26][1620/2134]	Time 0.540 (0.630)	Data 0.002 (0.014)	Loss 4.3805 (4.3648)	Top-1 acc 21.484 (22.110)	Top-5 acc 44.922 (44.534)	lr 0.01407
Warmup Train [26][1630/2134]	Time 0.500 (0.630)	Data 0.002 (0.013)	Loss 4.3186 (4.3644)	Top-1 acc 19.531 (22.117)	Top-5 acc 47.266 (44.542)	lr 0.01407
Warmup Train [26][1640/2134]	Time 0.430 (0.629)	Data 0.002 (0.014)	Loss 4.3508 (4.3644)	Top-1 acc 24.219 (22.117)	Top-5 acc 42.578 (44.542)	lr 0.01406
Warmup Train [26][1650/2134]	Time 0.439 (0.629)	Data 0.003 (0.013)	Loss 4.2152 (4.3646)	Top-1 acc 26.172 (22.123)	Top-5 acc 47.656 (44.541)	lr 0.01405
Warmup Train [26][1660/2134]	Time 0.644 (0.629)	Data 0.002 (0.013)	Loss 4.2924 (4.3645)	Top-1 acc 25.000 (22.127)	Top-5 acc 47.656 (44.540)	lr 0.01404
Warmup Train [26][1670/2134]	Time 0.579 (0.629)	Data 0.004 (0.013)	Loss 4.2981 (4.3643)	Top-1 acc 21.875 (22.128)	Top-5 acc 42.969 (44.540)	lr 0.01403
Warmup Train [26][1680/2134]	Time 0.507 (0.629)	Data 0.003 (0.013)	Loss 4.3124 (4.3641)	Top-1 acc 21.094 (22.134)	Top-5 acc 45.312 (44.548)	lr 0.01402
Warmup Train [26][1690/2134]	Time 0.749 (0.630)	Data 0.002 (0.013)	Loss 4.3967 (4.3640)	Top-1 acc 22.656 (22.143)	Top-5 acc 47.266 (44.556)	lr 0.01402
Warmup Train [26][1700/2134]	Time 0.618 (0.630)	Data 0.002 (0.013)	Loss 4.3358 (4.3640)	Top-1 acc 20.703 (22.137)	Top-5 acc 46.484 (44.559)	lr 0.01401
Warmup Train [26][1710/2134]	Time 0.550 (0.630)	Data 0.002 (0.013)	Loss 4.4287 (4.3639)	Top-1 acc 21.875 (22.135)	Top-5 acc 44.141 (44.559)	lr 0.01400
Warmup Train [26][1720/2134]	Time 0.774 (0.630)	Data 0.002 (0.013)	Loss 4.3786 (4.3640)	Top-1 acc 26.562 (22.128)	Top-5 acc 43.359 (44.557)	lr 0.01399
Warmup Train [26][1730/2134]	Time 0.755 (0.630)	Data 0.002 (0.013)	Loss 4.4942 (4.3638)	Top-1 acc 18.359 (22.137)	Top-5 acc 42.188 (44.567)	lr 0.01398
Warmup Train [26][1740/2134]	Time 0.768 (0.630)	Data 0.002 (0.013)	Loss 4.4586 (4.3636)	Top-1 acc 21.484 (22.138)	Top-5 acc 41.406 (44.572)	lr 0.01398
Warmup Train [26][1750/2134]	Time 0.631 (0.630)	Data 0.027 (0.013)	Loss 4.3156 (4.3635)	Top-1 acc 21.094 (22.146)	Top-5 acc 48.438 (44.576)	lr 0.01397
Warmup Train [26][1760/2134]	Time 0.615 (0.630)	Data 0.002 (0.013)	Loss 4.3316 (4.3633)	Top-1 acc 24.219 (22.150)	Top-5 acc 40.625 (44.584)	lr 0.01396
Warmup Train [26][1770/2134]	Time 0.701 (0.630)	Data 0.004 (0.013)	Loss 4.3184 (4.3633)	Top-1 acc 21.484 (22.154)	Top-5 acc 47.266 (44.584)	lr 0.01395
Warmup Train [26][1780/2134]	Time 0.491 (0.630)	Data 0.002 (0.013)	Loss 4.3613 (4.3630)	Top-1 acc 24.219 (22.159)	Top-5 acc 47.656 (44.593)	lr 0.01394
Warmup Train [26][1790/2134]	Time 0.552 (0.630)	Data 0.002 (0.013)	Loss 4.3174 (4.3628)	Top-1 acc 24.609 (22.164)	Top-5 acc 46.875 (44.599)	lr 0.01393
Warmup Train [26][1800/2134]	Time 0.583 (0.629)	Data 0.002 (0.013)	Loss 4.3296 (4.3626)	Top-1 acc 22.266 (22.167)	Top-5 acc 44.922 (44.599)	lr 0.01393
Warmup Train [26][1810/2134]	Time 0.692 (0.629)	Data 0.002 (0.013)	Loss 4.3661 (4.3629)	Top-1 acc 23.047 (22.167)	Top-5 acc 46.094 (44.595)	lr 0.01392
Warmup Train [26][1820/2134]	Time 0.608 (0.629)	Data 0.002 (0.013)	Loss 4.3783 (4.3629)	Top-1 acc 22.266 (22.169)	Top-5 acc 43.359 (44.596)	lr 0.01391
Warmup Train [26][1830/2134]	Time 0.606 (0.629)	Data 0.002 (0.013)	Loss 4.1186 (4.3628)	Top-1 acc 28.125 (22.173)	Top-5 acc 51.953 (44.603)	lr 0.01390
Warmup Train [26][1840/2134]	Time 0.640 (0.629)	Data 0.002 (0.013)	Loss 4.3935 (4.3629)	Top-1 acc 22.656 (22.178)	Top-5 acc 43.750 (44.601)	lr 0.01389
Warmup Train [26][1850/2134]	Time 0.442 (0.628)	Data 0.002 (0.013)	Loss 4.3336 (4.3628)	Top-1 acc 25.000 (22.184)	Top-5 acc 46.094 (44.602)	lr 0.01388
Warmup Train [26][1860/2134]	Time 0.647 (0.628)	Data 0.002 (0.013)	Loss 4.4278 (4.3625)	Top-1 acc 22.656 (22.185)	Top-5 acc 44.141 (44.610)	lr 0.01388
Warmup Train [26][1870/2134]	Time 0.573 (0.628)	Data 0.003 (0.013)	Loss 4.1913 (4.3625)	Top-1 acc 24.219 (22.185)	Top-5 acc 51.172 (44.611)	lr 0.01387
Warmup Train [26][1880/2134]	Time 0.698 (0.628)	Data 0.002 (0.013)	Loss 4.2559 (4.3623)	Top-1 acc 26.562 (22.190)	Top-5 acc 45.703 (44.615)	lr 0.01386
Warmup Train [26][1890/2134]	Time 0.478 (0.628)	Data 0.002 (0.013)	Loss 4.3256 (4.3623)	Top-1 acc 23.828 (22.193)	Top-5 acc 44.141 (44.611)	lr 0.01385
Warmup Train [26][1900/2134]	Time 0.632 (0.628)	Data 0.002 (0.013)	Loss 4.3565 (4.3623)	Top-1 acc 23.047 (22.189)	Top-5 acc 44.141 (44.610)	lr 0.01384
Warmup Train [26][1910/2134]	Time 0.800 (0.628)	Data 0.002 (0.013)	Loss 4.4281 (4.3624)	Top-1 acc 23.047 (22.188)	Top-5 acc 44.531 (44.609)	lr 0.01383
Warmup Train [26][1920/2134]	Time 0.624 (0.628)	Data 0.002 (0.013)	Loss 4.3375 (4.3623)	Top-1 acc 23.438 (22.195)	Top-5 acc 44.141 (44.611)	lr 0.01383
Warmup Train [26][1930/2134]	Time 0.666 (0.628)	Data 0.002 (0.013)	Loss 4.4530 (4.3624)	Top-1 acc 19.922 (22.192)	Top-5 acc 44.141 (44.604)	lr 0.01382
Warmup Train [26][1940/2134]	Time 0.596 (0.629)	Data 0.002 (0.013)	Loss 4.3112 (4.3623)	Top-1 acc 19.922 (22.194)	Top-5 acc 45.312 (44.608)	lr 0.01381
Warmup Train [26][1950/2134]	Time 0.771 (0.629)	Data 0.002 (0.013)	Loss 4.1330 (4.3620)	Top-1 acc 25.781 (22.200)	Top-5 acc 50.781 (44.616)	lr 0.01380
Warmup Train [26][1960/2134]	Time 0.500 (0.629)	Data 0.002 (0.012)	Loss 4.2382 (4.3621)	Top-1 acc 22.656 (22.195)	Top-5 acc 48.828 (44.612)	lr 0.01379
Warmup Train [26][1970/2134]	Time 0.594 (0.629)	Data 0.002 (0.012)	Loss 4.3956 (4.3620)	Top-1 acc 17.969 (22.196)	Top-5 acc 41.406 (44.611)	lr 0.01379
Warmup Train [26][1980/2134]	Time 0.750 (0.629)	Data 0.002 (0.012)	Loss 4.3023 (4.3620)	Top-1 acc 22.656 (22.197)	Top-5 acc 48.438 (44.611)	lr 0.01378
Warmup Train [26][1990/2134]	Time 0.739 (0.629)	Data 0.002 (0.012)	Loss 4.3830 (4.3619)	Top-1 acc 23.047 (22.199)	Top-5 acc 44.922 (44.614)	lr 0.01377
Warmup Train [26][2000/2134]	Time 0.623 (0.629)	Data 0.002 (0.012)	Loss 4.3895 (4.3617)	Top-1 acc 21.875 (22.197)	Top-5 acc 44.922 (44.621)	lr 0.01376
Warmup Train [26][2010/2134]	Time 0.427 (0.628)	Data 0.004 (0.012)	Loss 4.3942 (4.3620)	Top-1 acc 21.484 (22.195)	Top-5 acc 44.922 (44.624)	lr 0.01375
Warmup Train [26][2020/2134]	Time 0.593 (0.628)	Data 0.002 (0.012)	Loss 4.3174 (4.3617)	Top-1 acc 21.484 (22.202)	Top-5 acc 44.531 (44.633)	lr 0.01374
Warmup Train [26][2030/2134]	Time 0.707 (0.628)	Data 0.002 (0.012)	Loss 4.3594 (4.3619)	Top-1 acc 19.922 (22.200)	Top-5 acc 43.750 (44.625)	lr 0.01374
Warmup Train [26][2040/2134]	Time 0.531 (0.628)	Data 0.002 (0.012)	Loss 4.3598 (4.3618)	Top-1 acc 22.266 (22.197)	Top-5 acc 46.484 (44.624)	lr 0.01373
Warmup Train [26][2050/2134]	Time 0.484 (0.628)	Data 0.003 (0.012)	Loss 4.3241 (4.3615)	Top-1 acc 21.875 (22.207)	Top-5 acc 47.656 (44.634)	lr 0.01372
Warmup Train [26][2060/2134]	Time 0.636 (0.628)	Data 0.002 (0.012)	Loss 4.3623 (4.3615)	Top-1 acc 21.094 (22.207)	Top-5 acc 46.094 (44.640)	lr 0.01371
Warmup Train [26][2070/2134]	Time 0.619 (0.628)	Data 0.002 (0.012)	Loss 4.2625 (4.3613)	Top-1 acc 22.266 (22.210)	Top-5 acc 46.484 (44.640)	lr 0.01370
Warmup Train [26][2080/2134]	Time 0.639 (0.628)	Data 0.000 (0.012)	Loss 4.1697 (4.3613)	Top-1 acc 28.516 (22.213)	Top-5 acc 53.125 (44.645)	lr 0.01370
Warmup Train [26][2090/2134]	Time 0.417 (0.627)	Data 0.000 (0.012)	Loss 4.1685 (4.3613)	Top-1 acc 20.312 (22.208)	Top-5 acc 52.344 (44.645)	lr 0.01369
Warmup Train [26][2100/2134]	Time 0.619 (0.627)	Data 0.000 (0.012)	Loss 4.1866 (4.3610)	Top-1 acc 24.609 (22.216)	Top-5 acc 46.094 (44.649)	lr 0.01368
Warmup Train [26][2110/2134]	Time 0.597 (0.627)	Data 0.000 (0.012)	Loss 4.2206 (4.3606)	Top-1 acc 29.297 (22.225)	Top-5 acc 46.094 (44.662)	lr 0.01367
Warmup Train [26][2120/2134]	Time 0.675 (0.627)	Data 0.000 (0.012)	Loss 4.2386 (4.3608)	Top-1 acc 27.734 (22.225)	Top-5 acc 48.438 (44.656)	lr 0.01366
Warmup Train [26][2130/2134]	Time 0.718 (0.627)	Data 0.000 (0.012)	Loss 4.4885 (4.3607)	Top-1 acc 18.750 (22.223)	Top-5 acc 38.281 (44.656)	lr 0.01365
Warmup Train [26][2134/2134]	Time 0.433 (0.627)	Data 0.000 (0.012)	Loss 4.2796 (4.3607)	Top-1 acc 29.412 (22.227)	Top-5 acc 44.385 (44.655)	lr 0.01365
==========Warmup Valid [26/40]	loss 3.403	top-1 acc 29.437	top-5 acc 54.523	Train top-1 22.227	top-5 44.655	flops: 442.4M
Warmup Train [27][0/2134]	Time 13.105 (13.105)	Data 10.871 (10.871)	Loss 4.2854 (4.2854)	Top-1 acc 25.781 (25.781)	Top-5 acc 48.047 (48.047)	lr 0.01365
Warmup Train [27][10/2134]	Time 0.588 (1.864)	Data 0.002 (0.991)	Loss 4.2409 (4.3244)	Top-1 acc 21.875 (21.378)	Top-5 acc 46.484 (45.277)	lr 0.01364
Warmup Train [27][20/2134]	Time 0.499 (1.274)	Data 0.002 (0.522)	Loss 4.1943 (4.3288)	Top-1 acc 22.266 (21.243)	Top-5 acc 47.266 (45.275)	lr 0.01363
Warmup Train [27][30/2134]	Time 0.622 (1.168)	Data 0.003 (0.358)	Loss 4.4347 (4.3493)	Top-1 acc 21.484 (21.812)	Top-5 acc 43.359 (44.871)	lr 0.01363
Warmup Train [27][40/2134]	Time 0.768 (1.035)	Data 0.004 (0.272)	Loss 4.2565 (4.3513)	Top-1 acc 24.609 (21.885)	Top-5 acc 46.875 (45.017)	lr 0.01362
Warmup Train [27][50/2134]	Time 0.727 (0.952)	Data 0.003 (0.219)	Loss 4.3935 (4.3713)	Top-1 acc 22.656 (21.500)	Top-5 acc 43.750 (44.562)	lr 0.01361
Warmup Train [27][60/2134]	Time 0.684 (0.900)	Data 0.002 (0.185)	Loss 4.3519 (4.3675)	Top-1 acc 23.438 (21.491)	Top-5 acc 44.922 (44.602)	lr 0.01360
Warmup Train [27][70/2134]	Time 0.461 (0.857)	Data 0.002 (0.159)	Loss 4.3616 (4.3581)	Top-1 acc 19.531 (21.688)	Top-5 acc 46.484 (44.828)	lr 0.01359
Warmup Train [27][80/2134]	Time 0.591 (0.828)	Data 0.002 (0.142)	Loss 4.3004 (4.3602)	Top-1 acc 21.484 (21.740)	Top-5 acc 44.531 (44.917)	lr 0.01358
Warmup Train [27][90/2134]	Time 0.506 (0.804)	Data 0.002 (0.126)	Loss 4.2122 (4.3609)	Top-1 acc 25.391 (21.742)	Top-5 acc 52.734 (45.055)	lr 0.01358
Warmup Train [27][100/2134]	Time 0.582 (0.784)	Data 0.002 (0.115)	Loss 4.4636 (4.3586)	Top-1 acc 19.531 (21.778)	Top-5 acc 43.359 (45.042)	lr 0.01357
Warmup Train [27][110/2134]	Time 0.763 (0.771)	Data 0.002 (0.106)	Loss 4.3874 (4.3572)	Top-1 acc 21.094 (21.826)	Top-5 acc 42.188 (45.042)	lr 0.01356
Warmup Train [27][120/2134]	Time 0.704 (0.758)	Data 0.004 (0.097)	Loss 4.2698 (4.3593)	Top-1 acc 24.219 (21.801)	Top-5 acc 46.094 (44.993)	lr 0.01355
Warmup Train [27][130/2134]	Time 0.539 (0.744)	Data 0.002 (0.090)	Loss 4.4133 (4.3610)	Top-1 acc 21.094 (21.771)	Top-5 acc 41.797 (44.886)	lr 0.01354
Warmup Train [27][140/2134]	Time 0.524 (0.735)	Data 0.002 (0.085)	Loss 4.2693 (4.3579)	Top-1 acc 21.484 (21.847)	Top-5 acc 46.875 (44.922)	lr 0.01354
Warmup Train [27][150/2134]	Time 0.556 (0.727)	Data 0.002 (0.081)	Loss 4.5388 (4.3588)	Top-1 acc 19.141 (21.784)	Top-5 acc 36.719 (44.803)	lr 0.01353
Warmup Train [27][160/2134]	Time 0.748 (0.721)	Data 0.002 (0.076)	Loss 4.3173 (4.3575)	Top-1 acc 21.094 (21.824)	Top-5 acc 46.875 (44.832)	lr 0.01352
Warmup Train [27][170/2134]	Time 0.601 (0.715)	Data 0.002 (0.072)	Loss 4.5143 (4.3582)	Top-1 acc 23.047 (21.857)	Top-5 acc 41.406 (44.815)	lr 0.01351
Warmup Train [27][180/2134]	Time 0.532 (0.710)	Data 0.002 (0.068)	Loss 4.3575 (4.3559)	Top-1 acc 23.828 (21.899)	Top-5 acc 44.922 (44.872)	lr 0.01350
Warmup Train [27][190/2134]	Time 0.544 (0.705)	Data 0.003 (0.065)	Loss 4.4393 (4.3560)	Top-1 acc 17.188 (21.932)	Top-5 acc 41.016 (44.856)	lr 0.01349
Warmup Train [27][200/2134]	Time 0.628 (0.701)	Data 0.002 (0.063)	Loss 4.2414 (4.3535)	Top-1 acc 24.219 (22.007)	Top-5 acc 51.172 (44.939)	lr 0.01349
Warmup Train [27][210/2134]	Time 0.658 (0.696)	Data 0.003 (0.060)	Loss 4.2713 (4.3532)	Top-1 acc 29.297 (22.084)	Top-5 acc 48.828 (44.987)	lr 0.01348
Warmup Train [27][220/2134]	Time 0.663 (0.693)	Data 0.003 (0.057)	Loss 4.4764 (4.3537)	Top-1 acc 19.531 (22.098)	Top-5 acc 44.141 (44.954)	lr 0.01347
Warmup Train [27][230/2134]	Time 0.654 (0.690)	Data 0.002 (0.055)	Loss 4.5125 (4.3547)	Top-1 acc 20.312 (22.071)	Top-5 acc 43.359 (44.954)	lr 0.01346
Warmup Train [27][240/2134]	Time 0.658 (0.687)	Data 0.002 (0.053)	Loss 4.4573 (4.3570)	Top-1 acc 18.359 (22.026)	Top-5 acc 40.234 (44.896)	lr 0.01345
Warmup Train [27][250/2134]	Time 0.544 (0.684)	Data 0.003 (0.051)	Loss 4.4628 (4.3556)	Top-1 acc 20.703 (22.060)	Top-5 acc 41.406 (44.903)	lr 0.01345
Warmup Train [27][260/2134]	Time 0.597 (0.681)	Data 0.002 (0.050)	Loss 4.3706 (4.3542)	Top-1 acc 22.656 (22.099)	Top-5 acc 44.531 (44.958)	lr 0.01344
Warmup Train [27][270/2134]	Time 0.442 (0.678)	Data 0.002 (0.048)	Loss 4.4763 (4.3557)	Top-1 acc 19.531 (22.100)	Top-5 acc 41.406 (44.977)	lr 0.01343
Warmup Train [27][280/2134]	Time 0.587 (0.676)	Data 0.002 (0.047)	Loss 4.5725 (4.3548)	Top-1 acc 17.578 (22.072)	Top-5 acc 38.672 (44.993)	lr 0.01342
Warmup Train [27][290/2134]	Time 0.596 (0.686)	Data 0.002 (0.045)	Loss 4.5863 (4.3533)	Top-1 acc 16.406 (22.096)	Top-5 acc 41.406 (44.988)	lr 0.01341
Warmup Train [27][300/2134]	Time 0.573 (0.682)	Data 0.002 (0.044)	Loss 4.2741 (4.3521)	Top-1 acc 21.094 (22.110)	Top-5 acc 48.438 (45.039)	lr 0.01341
Warmup Train [27][310/2134]	Time 0.792 (0.680)	Data 0.002 (0.043)	Loss 4.3262 (4.3507)	Top-1 acc 23.438 (22.176)	Top-5 acc 45.312 (45.042)	lr 0.01340
Warmup Train [27][320/2134]	Time 0.497 (0.678)	Data 0.002 (0.042)	Loss 4.4795 (4.3512)	Top-1 acc 19.141 (22.179)	Top-5 acc 41.016 (44.996)	lr 0.01339
Warmup Train [27][330/2134]	Time 0.710 (0.676)	Data 0.002 (0.041)	Loss 4.4371 (4.3521)	Top-1 acc 16.797 (22.191)	Top-5 acc 45.312 (45.003)	lr 0.01338
Warmup Train [27][340/2134]	Time 0.441 (0.674)	Data 0.003 (0.040)	Loss 4.1361 (4.3505)	Top-1 acc 28.125 (22.235)	Top-5 acc 50.391 (45.022)	lr 0.01337
Warmup Train [27][350/2134]	Time 0.591 (0.673)	Data 0.002 (0.039)	Loss 4.1623 (4.3484)	Top-1 acc 26.172 (22.277)	Top-5 acc 47.656 (45.119)	lr 0.01336
Warmup Train [27][360/2134]	Time 0.745 (0.672)	Data 0.002 (0.038)	Loss 4.2420 (4.3479)	Top-1 acc 25.000 (22.282)	Top-5 acc 46.875 (45.137)	lr 0.01336
Warmup Train [27][370/2134]	Time 0.417 (0.670)	Data 0.003 (0.037)	Loss 4.3292 (4.3471)	Top-1 acc 23.047 (22.288)	Top-5 acc 47.266 (45.180)	lr 0.01335
Warmup Train [27][380/2134]	Time 0.600 (0.669)	Data 0.002 (0.037)	Loss 4.4837 (4.3466)	Top-1 acc 17.188 (22.293)	Top-5 acc 42.188 (45.193)	lr 0.01334
Warmup Train [27][390/2134]	Time 0.519 (0.667)	Data 0.002 (0.036)	Loss 4.6260 (4.3461)	Top-1 acc 23.047 (22.332)	Top-5 acc 41.797 (45.218)	lr 0.01333
Warmup Train [27][400/2134]	Time 0.638 (0.666)	Data 0.002 (0.036)	Loss 4.2062 (4.3438)	Top-1 acc 25.000 (22.360)	Top-5 acc 49.609 (45.258)	lr 0.01332
Warmup Train [27][410/2134]	Time 0.622 (0.665)	Data 0.002 (0.035)	Loss 4.4428 (4.3450)	Top-1 acc 23.047 (22.347)	Top-5 acc 42.188 (45.231)	lr 0.01332
Warmup Train [27][420/2134]	Time 0.522 (0.663)	Data 0.002 (0.034)	Loss 4.2649 (4.3446)	Top-1 acc 25.391 (22.350)	Top-5 acc 45.703 (45.239)	lr 0.01331
Warmup Train [27][430/2134]	Time 0.653 (0.663)	Data 0.002 (0.034)	Loss 4.3136 (4.3445)	Top-1 acc 21.875 (22.331)	Top-5 acc 45.312 (45.230)	lr 0.01330
Warmup Train [27][440/2134]	Time 0.606 (0.662)	Data 0.002 (0.033)	Loss 4.6968 (4.3444)	Top-1 acc 15.625 (22.321)	Top-5 acc 34.766 (45.216)	lr 0.01329
Warmup Train [27][450/2134]	Time 0.559 (0.661)	Data 0.003 (0.033)	Loss 4.3575 (4.3437)	Top-1 acc 21.875 (22.325)	Top-5 acc 46.094 (45.204)	lr 0.01328
Warmup Train [27][460/2134]	Time 0.495 (0.660)	Data 0.002 (0.032)	Loss 4.3693 (4.3430)	Top-1 acc 24.609 (22.365)	Top-5 acc 45.312 (45.207)	lr 0.01327
Warmup Train [27][470/2134]	Time 0.459 (0.659)	Data 0.003 (0.032)	Loss 4.3383 (4.3428)	Top-1 acc 21.484 (22.378)	Top-5 acc 46.094 (45.223)	lr 0.01327
Warmup Train [27][480/2134]	Time 0.549 (0.658)	Data 0.002 (0.032)	Loss 4.3668 (4.3430)	Top-1 acc 19.531 (22.360)	Top-5 acc 46.484 (45.234)	lr 0.01326
Warmup Train [27][490/2134]	Time 0.597 (0.657)	Data 0.002 (0.031)	Loss 4.5879 (4.3441)	Top-1 acc 20.312 (22.351)	Top-5 acc 37.109 (45.203)	lr 0.01325
Warmup Train [27][500/2134]	Time 0.595 (0.656)	Data 0.002 (0.031)	Loss 4.2047 (4.3442)	Top-1 acc 25.391 (22.360)	Top-5 acc 49.609 (45.197)	lr 0.01324
Warmup Train [27][510/2134]	Time 0.720 (0.655)	Data 0.003 (0.030)	Loss 4.3547 (4.3449)	Top-1 acc 21.875 (22.338)	Top-5 acc 46.484 (45.181)	lr 0.01323
Warmup Train [27][520/2134]	Time 0.611 (0.654)	Data 0.003 (0.030)	Loss 4.2028 (4.3450)	Top-1 acc 21.484 (22.320)	Top-5 acc 45.312 (45.166)	lr 0.01323
Warmup Train [27][530/2134]	Time 0.701 (0.653)	Data 0.002 (0.029)	Loss 4.2895 (4.3444)	Top-1 acc 25.391 (22.327)	Top-5 acc 49.609 (45.193)	lr 0.01322
Warmup Train [27][540/2134]	Time 0.511 (0.657)	Data 0.002 (0.029)	Loss 4.2422 (4.3444)	Top-1 acc 22.656 (22.326)	Top-5 acc 48.047 (45.201)	lr 0.01321
Warmup Train [27][550/2134]	Time 0.547 (0.657)	Data 0.005 (0.029)	Loss 4.3189 (4.3441)	Top-1 acc 22.266 (22.339)	Top-5 acc 43.750 (45.197)	lr 0.01320
Warmup Train [27][560/2134]	Time 0.419 (0.656)	Data 0.003 (0.028)	Loss 4.2506 (4.3438)	Top-1 acc 21.484 (22.347)	Top-5 acc 47.266 (45.202)	lr 0.01319
Warmup Train [27][570/2134]	Time 0.488 (0.655)	Data 0.002 (0.028)	Loss 4.6301 (4.3443)	Top-1 acc 20.312 (22.342)	Top-5 acc 39.062 (45.194)	lr 0.01319
Warmup Train [27][580/2134]	Time 0.642 (0.654)	Data 0.002 (0.028)	Loss 4.2082 (4.3448)	Top-1 acc 26.172 (22.343)	Top-5 acc 50.000 (45.178)	lr 0.01318
Warmup Train [27][590/2134]	Time 0.698 (0.654)	Data 0.002 (0.028)	Loss 4.2984 (4.3442)	Top-1 acc 24.609 (22.361)	Top-5 acc 48.047 (45.204)	lr 0.01317
Warmup Train [27][600/2134]	Time 0.584 (0.653)	Data 0.002 (0.027)	Loss 4.5898 (4.3442)	Top-1 acc 21.484 (22.374)	Top-5 acc 41.406 (45.222)	lr 0.01316
Warmup Train [27][610/2134]	Time 0.617 (0.652)	Data 0.002 (0.027)	Loss 4.3150 (4.3436)	Top-1 acc 25.391 (22.393)	Top-5 acc 48.438 (45.249)	lr 0.01315
Warmup Train [27][620/2134]	Time 0.634 (0.652)	Data 0.002 (0.027)	Loss 4.5205 (4.3434)	Top-1 acc 19.531 (22.407)	Top-5 acc 42.969 (45.263)	lr 0.01315
Warmup Train [27][630/2134]	Time 0.588 (0.651)	Data 0.002 (0.026)	Loss 4.5370 (4.3429)	Top-1 acc 19.141 (22.414)	Top-5 acc 39.844 (45.261)	lr 0.01314
Warmup Train [27][640/2134]	Time 0.620 (0.650)	Data 0.003 (0.026)	Loss 4.4332 (4.3425)	Top-1 acc 20.703 (22.407)	Top-5 acc 43.750 (45.261)	lr 0.01313
Warmup Train [27][650/2134]	Time 0.557 (0.650)	Data 0.002 (0.026)	Loss 4.3232 (4.3424)	Top-1 acc 23.828 (22.401)	Top-5 acc 45.312 (45.269)	lr 0.01312
Warmup Train [27][660/2134]	Time 0.550 (0.649)	Data 0.002 (0.026)	Loss 4.4095 (4.3420)	Top-1 acc 22.656 (22.415)	Top-5 acc 42.969 (45.276)	lr 0.01311
Warmup Train [27][670/2134]	Time 0.754 (0.648)	Data 0.002 (0.025)	Loss 4.4367 (4.3419)	Top-1 acc 20.312 (22.414)	Top-5 acc 41.797 (45.264)	lr 0.01310
Warmup Train [27][680/2134]	Time 0.528 (0.648)	Data 0.002 (0.025)	Loss 4.2852 (4.3420)	Top-1 acc 22.656 (22.419)	Top-5 acc 46.484 (45.268)	lr 0.01310
Warmup Train [27][690/2134]	Time 0.638 (0.647)	Data 0.002 (0.025)	Loss 4.2322 (4.3426)	Top-1 acc 24.609 (22.404)	Top-5 acc 49.219 (45.246)	lr 0.01309
Warmup Train [27][700/2134]	Time 0.700 (0.646)	Data 0.002 (0.025)	Loss 4.3519 (4.3422)	Top-1 acc 21.094 (22.395)	Top-5 acc 45.312 (45.251)	lr 0.01308
Warmup Train [27][710/2134]	Time 0.517 (0.646)	Data 0.002 (0.025)	Loss 4.3695 (4.3419)	Top-1 acc 17.578 (22.392)	Top-5 acc 43.750 (45.257)	lr 0.01307
Warmup Train [27][720/2134]	Time 0.745 (0.645)	Data 0.002 (0.024)	Loss 4.3317 (4.3411)	Top-1 acc 20.703 (22.386)	Top-5 acc 44.141 (45.279)	lr 0.01306
Warmup Train [27][730/2134]	Time 0.799 (0.645)	Data 0.002 (0.024)	Loss 4.1336 (4.3403)	Top-1 acc 22.656 (22.394)	Top-5 acc 47.266 (45.307)	lr 0.01306
Warmup Train [27][740/2134]	Time 0.565 (0.644)	Data 0.002 (0.024)	Loss 4.1789 (4.3404)	Top-1 acc 23.047 (22.404)	Top-5 acc 47.266 (45.300)	lr 0.01305
Warmup Train [27][750/2134]	Time 0.591 (0.644)	Data 0.002 (0.024)	Loss 4.2826 (4.3401)	Top-1 acc 21.875 (22.408)	Top-5 acc 43.750 (45.309)	lr 0.01304
Warmup Train [27][760/2134]	Time 0.569 (0.643)	Data 0.004 (0.023)	Loss 4.4415 (4.3405)	Top-1 acc 18.750 (22.400)	Top-5 acc 42.188 (45.294)	lr 0.01303
Warmup Train [27][770/2134]	Time 0.670 (0.643)	Data 0.003 (0.023)	Loss 4.4364 (4.3399)	Top-1 acc 20.703 (22.398)	Top-5 acc 43.359 (45.304)	lr 0.01302
Warmup Train [27][780/2134]	Time 0.726 (0.643)	Data 0.002 (0.023)	Loss 4.3608 (4.3400)	Top-1 acc 17.188 (22.397)	Top-5 acc 44.531 (45.294)	lr 0.01302
Warmup Train [27][790/2134]	Time 0.654 (0.642)	Data 0.003 (0.023)	Loss 4.3141 (4.3397)	Top-1 acc 21.875 (22.388)	Top-5 acc 44.531 (45.299)	lr 0.01301
Warmup Train [27][800/2134]	Time 0.579 (0.645)	Data 0.002 (0.022)	Loss 4.3881 (4.3395)	Top-1 acc 23.438 (22.389)	Top-5 acc 41.016 (45.301)	lr 0.01300
Warmup Train [27][810/2134]	Time 0.513 (0.644)	Data 0.004 (0.022)	Loss 4.2854 (4.3394)	Top-1 acc 23.438 (22.396)	Top-5 acc 43.750 (45.299)	lr 0.01299
Warmup Train [27][820/2134]	Time 0.693 (0.644)	Data 0.002 (0.022)	Loss 4.4907 (4.3392)	Top-1 acc 17.578 (22.392)	Top-5 acc 40.625 (45.311)	lr 0.01298
Warmup Train [27][830/2134]	Time 0.730 (0.644)	Data 0.002 (0.022)	Loss 4.3291 (4.3391)	Top-1 acc 24.609 (22.402)	Top-5 acc 47.656 (45.319)	lr 0.01298
Warmup Train [27][840/2134]	Time 0.749 (0.644)	Data 0.003 (0.022)	Loss 4.2886 (4.3387)	Top-1 acc 21.875 (22.418)	Top-5 acc 44.531 (45.326)	lr 0.01297
Warmup Train [27][850/2134]	Time 0.378 (0.643)	Data 0.002 (0.021)	Loss 4.4501 (4.3396)	Top-1 acc 19.141 (22.403)	Top-5 acc 43.359 (45.293)	lr 0.01296
Warmup Train [27][860/2134]	Time 0.724 (0.643)	Data 0.002 (0.021)	Loss 4.3510 (4.3396)	Top-1 acc 21.484 (22.394)	Top-5 acc 48.047 (45.290)	lr 0.01295
Warmup Train [27][870/2134]	Time 0.445 (0.642)	Data 0.002 (0.021)	Loss 4.1071 (4.3394)	Top-1 acc 28.125 (22.394)	Top-5 acc 50.391 (45.296)	lr 0.01294
Warmup Train [27][880/2134]	Time 0.456 (0.642)	Data 0.002 (0.021)	Loss 4.4166 (4.3389)	Top-1 acc 17.188 (22.402)	Top-5 acc 41.016 (45.306)	lr 0.01294
Warmup Train [27][890/2134]	Time 0.449 (0.641)	Data 0.002 (0.021)	Loss 4.3528 (4.3389)	Top-1 acc 23.047 (22.412)	Top-5 acc 46.094 (45.317)	lr 0.01293
Warmup Train [27][900/2134]	Time 0.551 (0.641)	Data 0.002 (0.021)	Loss 4.3839 (4.3388)	Top-1 acc 25.000 (22.428)	Top-5 acc 47.266 (45.326)	lr 0.01292
Warmup Train [27][910/2134]	Time 0.680 (0.641)	Data 0.002 (0.021)	Loss 4.4205 (4.3387)	Top-1 acc 22.656 (22.427)	Top-5 acc 44.922 (45.337)	lr 0.01291
Warmup Train [27][920/2134]	Time 0.549 (0.640)	Data 0.003 (0.021)	Loss 4.2254 (4.3394)	Top-1 acc 25.000 (22.423)	Top-5 acc 50.781 (45.336)	lr 0.01290
Warmup Train [27][930/2134]	Time 0.690 (0.640)	Data 0.002 (0.021)	Loss 4.2890 (4.3393)	Top-1 acc 23.828 (22.425)	Top-5 acc 48.828 (45.351)	lr 0.01289
Warmup Train [27][940/2134]	Time 0.467 (0.639)	Data 0.002 (0.020)	Loss 4.4459 (4.3388)	Top-1 acc 18.750 (22.428)	Top-5 acc 41.797 (45.366)	lr 0.01289
Warmup Train [27][950/2134]	Time 0.613 (0.639)	Data 0.002 (0.020)	Loss 4.2187 (4.3391)	Top-1 acc 24.219 (22.413)	Top-5 acc 46.875 (45.344)	lr 0.01288
Warmup Train [27][960/2134]	Time 0.598 (0.639)	Data 0.003 (0.020)	Loss 4.5819 (4.3395)	Top-1 acc 15.625 (22.408)	Top-5 acc 40.234 (45.330)	lr 0.01287
Warmup Train [27][970/2134]	Time 0.702 (0.638)	Data 0.002 (0.020)	Loss 4.3881 (4.3402)	Top-1 acc 23.047 (22.406)	Top-5 acc 45.703 (45.318)	lr 0.01286
Warmup Train [27][980/2134]	Time 0.626 (0.638)	Data 0.002 (0.020)	Loss 4.2530 (4.3404)	Top-1 acc 25.391 (22.403)	Top-5 acc 46.484 (45.312)	lr 0.01285
Warmup Train [27][990/2134]	Time 0.665 (0.638)	Data 0.003 (0.020)	Loss 4.0552 (4.3397)	Top-1 acc 26.172 (22.410)	Top-5 acc 52.734 (45.319)	lr 0.01285
Warmup Train [27][1000/2134]	Time 0.520 (0.638)	Data 0.002 (0.020)	Loss 4.3194 (4.3400)	Top-1 acc 21.875 (22.400)	Top-5 acc 43.750 (45.311)	lr 0.01284
Warmup Train [27][1010/2134]	Time 0.596 (0.638)	Data 0.002 (0.019)	Loss 4.1110 (4.3394)	Top-1 acc 28.516 (22.409)	Top-5 acc 50.391 (45.326)	lr 0.01283
Warmup Train [27][1020/2134]	Time 0.713 (0.637)	Data 0.041 (0.019)	Loss 4.1364 (4.3392)	Top-1 acc 26.953 (22.408)	Top-5 acc 50.781 (45.339)	lr 0.01282
Warmup Train [27][1030/2134]	Time 0.733 (0.637)	Data 0.002 (0.019)	Loss 4.3595 (4.3391)	Top-1 acc 26.172 (22.409)	Top-5 acc 46.094 (45.331)	lr 0.01281
Warmup Train [27][1040/2134]	Time 0.574 (0.637)	Data 0.002 (0.019)	Loss 4.2583 (4.3388)	Top-1 acc 25.000 (22.410)	Top-5 acc 46.875 (45.334)	lr 0.01281
Warmup Train [27][1050/2134]	Time 0.604 (0.637)	Data 0.002 (0.019)	Loss 4.2671 (4.3385)	Top-1 acc 25.781 (22.419)	Top-5 acc 45.703 (45.337)	lr 0.01280
Warmup Train [27][1060/2134]	Time 0.485 (0.638)	Data 0.002 (0.019)	Loss 4.2837 (4.3382)	Top-1 acc 22.266 (22.424)	Top-5 acc 48.047 (45.339)	lr 0.01279
Warmup Train [27][1070/2134]	Time 0.681 (0.638)	Data 0.002 (0.019)	Loss 4.2749 (4.3378)	Top-1 acc 22.656 (22.433)	Top-5 acc 51.953 (45.346)	lr 0.01278
Warmup Train [27][1080/2134]	Time 0.461 (0.638)	Data 0.002 (0.019)	Loss 4.4953 (4.3381)	Top-1 acc 19.531 (22.429)	Top-5 acc 43.750 (45.350)	lr 0.01277
Warmup Train [27][1090/2134]	Time 0.711 (0.638)	Data 0.003 (0.019)	Loss 4.4175 (4.3379)	Top-1 acc 25.391 (22.439)	Top-5 acc 45.312 (45.359)	lr 0.01277
Warmup Train [27][1100/2134]	Time 0.523 (0.637)	Data 0.003 (0.018)	Loss 4.4160 (4.3375)	Top-1 acc 24.609 (22.449)	Top-5 acc 46.094 (45.370)	lr 0.01276
Warmup Train [27][1110/2134]	Time 0.505 (0.637)	Data 0.003 (0.018)	Loss 4.4025 (4.3376)	Top-1 acc 21.094 (22.448)	Top-5 acc 44.531 (45.365)	lr 0.01275
Warmup Train [27][1120/2134]	Time 0.631 (0.637)	Data 0.002 (0.018)	Loss 4.2166 (4.3379)	Top-1 acc 25.391 (22.449)	Top-5 acc 49.609 (45.359)	lr 0.01274
Warmup Train [27][1130/2134]	Time 0.558 (0.637)	Data 0.003 (0.018)	Loss 4.4203 (4.3377)	Top-1 acc 22.266 (22.461)	Top-5 acc 41.016 (45.354)	lr 0.01273
Warmup Train [27][1140/2134]	Time 0.406 (0.636)	Data 0.002 (0.018)	Loss 4.3330 (4.3374)	Top-1 acc 21.875 (22.465)	Top-5 acc 45.312 (45.354)	lr 0.01273
Warmup Train [27][1150/2134]	Time 0.724 (0.636)	Data 0.002 (0.018)	Loss 4.4457 (4.3371)	Top-1 acc 18.359 (22.468)	Top-5 acc 43.359 (45.353)	lr 0.01272
Warmup Train [27][1160/2134]	Time 0.718 (0.636)	Data 0.002 (0.018)	Loss 4.1782 (4.3369)	Top-1 acc 21.094 (22.466)	Top-5 acc 49.219 (45.355)	lr 0.01271
Warmup Train [27][1170/2134]	Time 0.648 (0.636)	Data 0.002 (0.018)	Loss 4.4905 (4.3369)	Top-1 acc 18.359 (22.473)	Top-5 acc 42.578 (45.354)	lr 0.01270
Warmup Train [27][1180/2134]	Time 0.650 (0.636)	Data 0.029 (0.018)	Loss 4.4118 (4.3373)	Top-1 acc 18.750 (22.465)	Top-5 acc 39.062 (45.339)	lr 0.01269
Warmup Train [27][1190/2134]	Time 0.709 (0.636)	Data 0.003 (0.018)	Loss 4.2569 (4.3367)	Top-1 acc 25.391 (22.474)	Top-5 acc 49.219 (45.355)	lr 0.01269
Warmup Train [27][1200/2134]	Time 0.648 (0.635)	Data 0.003 (0.018)	Loss 4.5090 (4.3369)	Top-1 acc 23.438 (22.472)	Top-5 acc 42.969 (45.348)	lr 0.01268
Warmup Train [27][1210/2134]	Time 0.617 (0.635)	Data 0.030 (0.017)	Loss 4.3845 (4.3369)	Top-1 acc 25.781 (22.477)	Top-5 acc 45.703 (45.347)	lr 0.01267
Warmup Train [27][1220/2134]	Time 0.695 (0.635)	Data 0.003 (0.017)	Loss 4.0869 (4.3372)	Top-1 acc 24.219 (22.470)	Top-5 acc 52.344 (45.336)	lr 0.01266
Warmup Train [27][1230/2134]	Time 0.787 (0.635)	Data 0.002 (0.017)	Loss 4.3206 (4.3373)	Top-1 acc 20.703 (22.473)	Top-5 acc 44.922 (45.327)	lr 0.01265
Warmup Train [27][1240/2134]	Time 0.566 (0.635)	Data 0.002 (0.017)	Loss 4.3509 (4.3373)	Top-1 acc 23.438 (22.470)	Top-5 acc 46.875 (45.324)	lr 0.01265
Warmup Train [27][1250/2134]	Time 0.704 (0.634)	Data 0.005 (0.017)	Loss 4.2431 (4.3368)	Top-1 acc 19.922 (22.474)	Top-5 acc 43.359 (45.332)	lr 0.01264
Warmup Train [27][1260/2134]	Time 0.383 (0.634)	Data 0.002 (0.017)	Loss 4.3667 (4.3367)	Top-1 acc 22.656 (22.478)	Top-5 acc 46.094 (45.337)	lr 0.01263
Warmup Train [27][1270/2134]	Time 0.612 (0.634)	Data 0.002 (0.017)	Loss 4.1319 (4.3364)	Top-1 acc 27.344 (22.490)	Top-5 acc 51.562 (45.345)	lr 0.01262
Warmup Train [27][1280/2134]	Time 0.553 (0.634)	Data 0.002 (0.017)	Loss 4.4255 (4.3362)	Top-1 acc 23.438 (22.499)	Top-5 acc 42.188 (45.354)	lr 0.01261
Warmup Train [27][1290/2134]	Time 0.666 (0.634)	Data 0.004 (0.017)	Loss 4.2640 (4.3360)	Top-1 acc 26.562 (22.503)	Top-5 acc 46.875 (45.363)	lr 0.01261
Warmup Train [27][1300/2134]	Time 0.481 (0.633)	Data 0.002 (0.017)	Loss 4.4425 (4.3361)	Top-1 acc 17.188 (22.503)	Top-5 acc 37.500 (45.356)	lr 0.01260
Warmup Train [27][1310/2134]	Time 0.644 (0.635)	Data 0.003 (0.017)	Loss 4.3944 (4.3359)	Top-1 acc 20.312 (22.504)	Top-5 acc 44.922 (45.365)	lr 0.01259
Warmup Train [27][1320/2134]	Time 0.561 (0.635)	Data 0.002 (0.016)	Loss 4.3058 (4.3361)	Top-1 acc 23.828 (22.502)	Top-5 acc 47.656 (45.362)	lr 0.01258
Warmup Train [27][1330/2134]	Time 0.700 (0.635)	Data 0.002 (0.016)	Loss 4.3834 (4.3358)	Top-1 acc 22.656 (22.503)	Top-5 acc 43.359 (45.373)	lr 0.01257
Warmup Train [27][1340/2134]	Time 0.776 (0.635)	Data 0.002 (0.016)	Loss 4.1933 (4.3360)	Top-1 acc 23.438 (22.502)	Top-5 acc 46.484 (45.366)	lr 0.01257
Warmup Train [27][1350/2134]	Time 0.790 (0.634)	Data 0.002 (0.016)	Loss 4.3029 (4.3357)	Top-1 acc 23.828 (22.503)	Top-5 acc 44.531 (45.371)	lr 0.01256
Warmup Train [27][1360/2134]	Time 0.619 (0.634)	Data 0.003 (0.016)	Loss 4.4714 (4.3355)	Top-1 acc 17.969 (22.512)	Top-5 acc 40.625 (45.379)	lr 0.01255
Warmup Train [27][1370/2134]	Time 0.648 (0.634)	Data 0.003 (0.016)	Loss 4.4832 (4.3357)	Top-1 acc 23.828 (22.524)	Top-5 acc 43.750 (45.375)	lr 0.01254
Warmup Train [27][1380/2134]	Time 0.561 (0.634)	Data 0.002 (0.016)	Loss 4.2320 (4.3355)	Top-1 acc 23.047 (22.524)	Top-5 acc 44.531 (45.379)	lr 0.01253
Warmup Train [27][1390/2134]	Time 0.634 (0.634)	Data 0.002 (0.016)	Loss 4.2854 (4.3355)	Top-1 acc 23.438 (22.519)	Top-5 acc 45.703 (45.378)	lr 0.01253
Warmup Train [27][1400/2134]	Time 0.550 (0.634)	Data 0.002 (0.016)	Loss 4.1821 (4.3352)	Top-1 acc 23.438 (22.518)	Top-5 acc 51.172 (45.383)	lr 0.01252
Warmup Train [27][1410/2134]	Time 0.784 (0.634)	Data 0.002 (0.016)	Loss 4.2833 (4.3350)	Top-1 acc 20.312 (22.517)	Top-5 acc 50.000 (45.392)	lr 0.01251
Warmup Train [27][1420/2134]	Time 0.520 (0.634)	Data 0.002 (0.016)	Loss 4.3706 (4.3348)	Top-1 acc 21.875 (22.520)	Top-5 acc 41.797 (45.397)	lr 0.01250
Warmup Train [27][1430/2134]	Time 0.538 (0.633)	Data 0.002 (0.016)	Loss 4.2425 (4.3344)	Top-1 acc 23.828 (22.524)	Top-5 acc 46.484 (45.404)	lr 0.01249
Warmup Train [27][1440/2134]	Time 0.484 (0.633)	Data 0.002 (0.016)	Loss 4.4335 (4.3347)	Top-1 acc 19.531 (22.529)	Top-5 acc 41.797 (45.400)	lr 0.01249
Warmup Train [27][1450/2134]	Time 0.601 (0.633)	Data 0.002 (0.016)	Loss 4.3683 (4.3348)	Top-1 acc 25.391 (22.538)	Top-5 acc 42.969 (45.406)	lr 0.01248
Warmup Train [27][1460/2134]	Time 0.739 (0.633)	Data 0.002 (0.016)	Loss 4.4077 (4.3351)	Top-1 acc 20.312 (22.540)	Top-5 acc 45.312 (45.400)	lr 0.01247
Warmup Train [27][1470/2134]	Time 0.637 (0.632)	Data 0.002 (0.016)	Loss 4.3617 (4.3355)	Top-1 acc 19.531 (22.529)	Top-5 acc 48.828 (45.400)	lr 0.01246
Warmup Train [27][1480/2134]	Time 0.658 (0.632)	Data 0.003 (0.015)	Loss 4.4336 (4.3357)	Top-1 acc 21.484 (22.527)	Top-5 acc 42.188 (45.397)	lr 0.01245
Warmup Train [27][1490/2134]	Time 0.528 (0.632)	Data 0.002 (0.015)	Loss 4.5489 (4.3357)	Top-1 acc 19.531 (22.525)	Top-5 acc 41.406 (45.399)	lr 0.01245
Warmup Train [27][1500/2134]	Time 0.612 (0.632)	Data 0.002 (0.015)	Loss 4.0843 (4.3358)	Top-1 acc 28.125 (22.530)	Top-5 acc 51.953 (45.399)	lr 0.01244
Warmup Train [27][1510/2134]	Time 0.493 (0.632)	Data 0.002 (0.015)	Loss 4.4368 (4.3358)	Top-1 acc 20.703 (22.531)	Top-5 acc 42.578 (45.403)	lr 0.01243
Warmup Train [27][1520/2134]	Time 0.607 (0.632)	Data 0.002 (0.015)	Loss 4.4710 (4.3359)	Top-1 acc 23.828 (22.537)	Top-5 acc 41.797 (45.398)	lr 0.01242
Warmup Train [27][1530/2134]	Time 0.499 (0.632)	Data 0.002 (0.015)	Loss 4.4340 (4.3362)	Top-1 acc 24.609 (22.545)	Top-5 acc 42.578 (45.398)	lr 0.01242
Warmup Train [27][1540/2134]	Time 0.620 (0.632)	Data 0.002 (0.015)	Loss 4.2929 (4.3362)	Top-1 acc 21.484 (22.553)	Top-5 acc 45.312 (45.406)	lr 0.01241
Warmup Train [27][1550/2134]	Time 0.555 (0.632)	Data 0.003 (0.015)	Loss 4.5015 (4.3361)	Top-1 acc 18.750 (22.554)	Top-5 acc 39.062 (45.400)	lr 0.01240
Warmup Train [27][1560/2134]	Time 0.600 (0.632)	Data 0.002 (0.015)	Loss 4.4721 (4.3365)	Top-1 acc 23.438 (22.554)	Top-5 acc 44.141 (45.394)	lr 0.01239
Warmup Train [27][1570/2134]	Time 0.504 (0.633)	Data 0.002 (0.015)	Loss 4.2232 (4.3365)	Top-1 acc 26.562 (22.555)	Top-5 acc 52.344 (45.397)	lr 0.01238
Warmup Train [27][1580/2134]	Time 0.560 (0.633)	Data 0.002 (0.015)	Loss 4.4418 (4.3364)	Top-1 acc 21.094 (22.559)	Top-5 acc 40.625 (45.395)	lr 0.01238
Warmup Train [27][1590/2134]	Time 0.488 (0.633)	Data 0.002 (0.015)	Loss 4.4019 (4.3361)	Top-1 acc 21.484 (22.564)	Top-5 acc 44.531 (45.401)	lr 0.01237
Warmup Train [27][1600/2134]	Time 0.504 (0.632)	Data 0.002 (0.015)	Loss 4.2992 (4.3361)	Top-1 acc 23.828 (22.561)	Top-5 acc 46.875 (45.402)	lr 0.01236
Warmup Train [27][1610/2134]	Time 0.698 (0.632)	Data 0.002 (0.015)	Loss 4.2317 (4.3360)	Top-1 acc 23.047 (22.563)	Top-5 acc 47.656 (45.397)	lr 0.01235
Warmup Train [27][1620/2134]	Time 0.525 (0.632)	Data 0.002 (0.015)	Loss 4.2510 (4.3361)	Top-1 acc 21.875 (22.566)	Top-5 acc 48.438 (45.393)	lr 0.01234
Warmup Train [27][1630/2134]	Time 0.630 (0.632)	Data 0.002 (0.015)	Loss 4.2894 (4.3358)	Top-1 acc 21.094 (22.571)	Top-5 acc 46.875 (45.400)	lr 0.01234
Warmup Train [27][1640/2134]	Time 0.521 (0.632)	Data 0.003 (0.015)	Loss 4.3152 (4.3356)	Top-1 acc 21.094 (22.577)	Top-5 acc 46.484 (45.410)	lr 0.01233
Warmup Train [27][1650/2134]	Time 0.543 (0.631)	Data 0.002 (0.015)	Loss 4.2349 (4.3355)	Top-1 acc 24.609 (22.582)	Top-5 acc 50.000 (45.406)	lr 0.01232
Warmup Train [27][1660/2134]	Time 0.680 (0.632)	Data 0.003 (0.015)	Loss 4.2900 (4.3357)	Top-1 acc 23.828 (22.581)	Top-5 acc 46.875 (45.403)	lr 0.01231
Warmup Train [27][1670/2134]	Time 0.519 (0.631)	Data 0.002 (0.015)	Loss 4.1670 (4.3353)	Top-1 acc 21.484 (22.587)	Top-5 acc 51.953 (45.415)	lr 0.01230
Warmup Train [27][1680/2134]	Time 0.643 (0.631)	Data 0.003 (0.015)	Loss 4.4041 (4.3353)	Top-1 acc 23.047 (22.581)	Top-5 acc 42.578 (45.407)	lr 0.01230
Warmup Train [27][1690/2134]	Time 0.686 (0.631)	Data 0.002 (0.015)	Loss 4.3749 (4.3353)	Top-1 acc 21.484 (22.579)	Top-5 acc 42.578 (45.402)	lr 0.01229
Warmup Train [27][1700/2134]	Time 0.712 (0.631)	Data 0.002 (0.015)	Loss 4.2011 (4.3350)	Top-1 acc 23.828 (22.585)	Top-5 acc 48.438 (45.409)	lr 0.01228
Warmup Train [27][1710/2134]	Time 0.712 (0.631)	Data 0.002 (0.015)	Loss 4.1885 (4.3349)	Top-1 acc 25.000 (22.589)	Top-5 acc 50.000 (45.412)	lr 0.01227
Warmup Train [27][1720/2134]	Time 0.670 (0.631)	Data 0.002 (0.014)	Loss 4.3387 (4.3347)	Top-1 acc 23.438 (22.596)	Top-5 acc 42.188 (45.421)	lr 0.01226
Warmup Train [27][1730/2134]	Time 0.568 (0.631)	Data 0.002 (0.014)	Loss 4.2929 (4.3343)	Top-1 acc 24.609 (22.606)	Top-5 acc 47.266 (45.428)	lr 0.01226
Warmup Train [27][1740/2134]	Time 0.557 (0.631)	Data 0.002 (0.014)	Loss 4.4152 (4.3344)	Top-1 acc 23.047 (22.603)	Top-5 acc 44.922 (45.426)	lr 0.01225
Warmup Train [27][1750/2134]	Time 0.565 (0.631)	Data 0.002 (0.014)	Loss 4.2632 (4.3341)	Top-1 acc 22.266 (22.606)	Top-5 acc 46.094 (45.431)	lr 0.01224
Warmup Train [27][1760/2134]	Time 0.836 (0.631)	Data 0.002 (0.014)	Loss 4.2266 (4.3338)	Top-1 acc 28.125 (22.615)	Top-5 acc 48.828 (45.444)	lr 0.01223
Warmup Train [27][1770/2134]	Time 0.512 (0.631)	Data 0.002 (0.014)	Loss 4.2310 (4.3335)	Top-1 acc 25.391 (22.613)	Top-5 acc 45.312 (45.448)	lr 0.01222
Warmup Train [27][1780/2134]	Time 0.617 (0.630)	Data 0.003 (0.014)	Loss 4.4392 (4.3335)	Top-1 acc 19.922 (22.610)	Top-5 acc 43.359 (45.446)	lr 0.01222
Warmup Train [27][1790/2134]	Time 0.527 (0.630)	Data 0.002 (0.014)	Loss 4.3207 (4.3334)	Top-1 acc 20.703 (22.615)	Top-5 acc 42.578 (45.447)	lr 0.01221
Warmup Train [27][1800/2134]	Time 0.487 (0.630)	Data 0.002 (0.014)	Loss 4.1846 (4.3335)	Top-1 acc 27.734 (22.613)	Top-5 acc 47.656 (45.442)	lr 0.01220
Warmup Train [27][1810/2134]	Time 0.601 (0.630)	Data 0.002 (0.014)	Loss 4.3142 (4.3335)	Top-1 acc 19.141 (22.615)	Top-5 acc 47.656 (45.444)	lr 0.01219
Warmup Train [27][1820/2134]	Time 0.414 (0.630)	Data 0.002 (0.014)	Loss 4.4997 (4.3337)	Top-1 acc 19.922 (22.615)	Top-5 acc 39.062 (45.437)	lr 0.01219
Warmup Train [27][1830/2134]	Time 0.609 (0.631)	Data 0.002 (0.014)	Loss 4.4192 (4.3334)	Top-1 acc 19.922 (22.620)	Top-5 acc 43.359 (45.442)	lr 0.01218
Warmup Train [27][1840/2134]	Time 0.609 (0.631)	Data 0.002 (0.014)	Loss 4.3479 (4.3335)	Top-1 acc 26.953 (22.622)	Top-5 acc 46.875 (45.439)	lr 0.01217
Warmup Train [27][1850/2134]	Time 0.415 (0.631)	Data 0.002 (0.014)	Loss 4.4170 (4.3338)	Top-1 acc 21.875 (22.618)	Top-5 acc 45.312 (45.436)	lr 0.01216
Warmup Train [27][1860/2134]	Time 0.722 (0.631)	Data 0.002 (0.014)	Loss 4.2704 (4.3335)	Top-1 acc 21.484 (22.624)	Top-5 acc 50.000 (45.443)	lr 0.01215
Warmup Train [27][1870/2134]	Time 0.542 (0.630)	Data 0.002 (0.014)	Loss 4.1875 (4.3334)	Top-1 acc 26.172 (22.619)	Top-5 acc 47.656 (45.441)	lr 0.01215
Warmup Train [27][1880/2134]	Time 0.490 (0.630)	Data 0.002 (0.014)	Loss 4.4730 (4.3334)	Top-1 acc 25.391 (22.620)	Top-5 acc 43.359 (45.441)	lr 0.01214
Warmup Train [27][1890/2134]	Time 0.580 (0.630)	Data 0.002 (0.014)	Loss 4.5162 (4.3334)	Top-1 acc 17.578 (22.615)	Top-5 acc 38.672 (45.438)	lr 0.01213
Warmup Train [27][1900/2134]	Time 0.734 (0.630)	Data 0.002 (0.014)	Loss 4.3012 (4.3331)	Top-1 acc 21.094 (22.622)	Top-5 acc 47.266 (45.445)	lr 0.01212
Warmup Train [27][1910/2134]	Time 0.403 (0.630)	Data 0.003 (0.014)	Loss 4.4113 (4.3330)	Top-1 acc 21.094 (22.628)	Top-5 acc 43.750 (45.448)	lr 0.01211
Warmup Train [27][1920/2134]	Time 0.635 (0.630)	Data 0.002 (0.014)	Loss 4.3635 (4.3327)	Top-1 acc 23.047 (22.634)	Top-5 acc 45.703 (45.452)	lr 0.01211
Warmup Train [27][1930/2134]	Time 0.504 (0.630)	Data 0.003 (0.014)	Loss 4.3660 (4.3328)	Top-1 acc 24.219 (22.637)	Top-5 acc 42.578 (45.451)	lr 0.01210
Warmup Train [27][1940/2134]	Time 0.607 (0.630)	Data 0.003 (0.014)	Loss 4.2758 (4.3326)	Top-1 acc 25.781 (22.646)	Top-5 acc 47.656 (45.460)	lr 0.01209
Warmup Train [27][1950/2134]	Time 0.671 (0.629)	Data 0.002 (0.014)	Loss 4.3649 (4.3326)	Top-1 acc 22.656 (22.649)	Top-5 acc 46.484 (45.463)	lr 0.01208
Warmup Train [27][1960/2134]	Time 0.493 (0.629)	Data 0.002 (0.014)	Loss 4.2275 (4.3326)	Top-1 acc 23.828 (22.650)	Top-5 acc 46.484 (45.461)	lr 0.01208
Warmup Train [27][1970/2134]	Time 0.513 (0.629)	Data 0.002 (0.014)	Loss 4.4204 (4.3328)	Top-1 acc 21.875 (22.645)	Top-5 acc 42.578 (45.458)	lr 0.01207
Warmup Train [27][1980/2134]	Time 0.761 (0.629)	Data 0.002 (0.014)	Loss 4.3690 (4.3330)	Top-1 acc 18.750 (22.643)	Top-5 acc 45.312 (45.456)	lr 0.01206
Warmup Train [27][1990/2134]	Time 0.712 (0.629)	Data 0.002 (0.014)	Loss 4.3988 (4.3330)	Top-1 acc 25.000 (22.640)	Top-5 acc 45.312 (45.459)	lr 0.01205
Warmup Train [27][2000/2134]	Time 0.416 (0.629)	Data 0.002 (0.014)	Loss 4.2964 (4.3329)	Top-1 acc 19.531 (22.637)	Top-5 acc 46.094 (45.458)	lr 0.01204
Warmup Train [27][2010/2134]	Time 0.554 (0.628)	Data 0.002 (0.014)	Loss 4.3786 (4.3328)	Top-1 acc 21.484 (22.638)	Top-5 acc 44.531 (45.461)	lr 0.01204
Warmup Train [27][2020/2134]	Time 0.614 (0.628)	Data 0.002 (0.014)	Loss 4.3270 (4.3328)	Top-1 acc 25.000 (22.635)	Top-5 acc 49.219 (45.464)	lr 0.01203
Warmup Train [27][2030/2134]	Time 0.619 (0.628)	Data 0.002 (0.014)	Loss 4.1798 (4.3327)	Top-1 acc 22.266 (22.634)	Top-5 acc 46.484 (45.461)	lr 0.01202
Warmup Train [27][2040/2134]	Time 0.607 (0.628)	Data 0.002 (0.013)	Loss 4.2607 (4.3327)	Top-1 acc 24.609 (22.634)	Top-5 acc 44.531 (45.460)	lr 0.01201
Warmup Train [27][2050/2134]	Time 0.625 (0.628)	Data 0.002 (0.013)	Loss 4.2134 (4.3324)	Top-1 acc 25.000 (22.639)	Top-5 acc 49.219 (45.471)	lr 0.01200
Warmup Train [27][2060/2134]	Time 0.513 (0.628)	Data 0.002 (0.013)	Loss 4.2338 (4.3319)	Top-1 acc 26.562 (22.643)	Top-5 acc 44.922 (45.476)	lr 0.01200
Warmup Train [27][2070/2134]	Time 0.484 (0.628)	Data 0.002 (0.013)	Loss 4.2849 (4.3319)	Top-1 acc 20.312 (22.643)	Top-5 acc 45.312 (45.475)	lr 0.01199
Warmup Train [27][2080/2134]	Time 0.670 (0.628)	Data 0.000 (0.013)	Loss 4.1530 (4.3317)	Top-1 acc 28.906 (22.647)	Top-5 acc 49.219 (45.481)	lr 0.01198
Warmup Train [27][2090/2134]	Time 0.482 (0.628)	Data 0.000 (0.013)	Loss 4.4522 (4.3317)	Top-1 acc 21.484 (22.644)	Top-5 acc 42.969 (45.480)	lr 0.01197
Warmup Train [27][2100/2134]	Time 0.562 (0.629)	Data 0.000 (0.013)	Loss 4.2200 (4.3313)	Top-1 acc 22.656 (22.643)	Top-5 acc 46.875 (45.490)	lr 0.01196
Warmup Train [27][2110/2134]	Time 0.632 (0.629)	Data 0.000 (0.013)	Loss 4.3817 (4.3314)	Top-1 acc 24.219 (22.643)	Top-5 acc 44.922 (45.490)	lr 0.01196
Warmup Train [27][2120/2134]	Time 0.511 (0.628)	Data 0.000 (0.013)	Loss 4.2795 (4.3314)	Top-1 acc 23.828 (22.640)	Top-5 acc 48.047 (45.493)	lr 0.01195
Warmup Train [27][2130/2134]	Time 0.662 (0.628)	Data 0.000 (0.013)	Loss 4.5505 (4.3316)	Top-1 acc 19.922 (22.636)	Top-5 acc 37.109 (45.484)	lr 0.01194
Warmup Train [27][2134/2134]	Time 0.664 (0.628)	Data 0.000 (0.013)	Loss 4.3765 (4.3317)	Top-1 acc 20.856 (22.633)	Top-5 acc 45.455 (45.482)	lr 0.01194
==========Warmup Valid [27/40]	loss 3.340	top-1 acc 30.185	top-5 acc 55.392	Train top-1 22.633	top-5 45.482	flops: 442.4M
Warmup Train [28][0/2134]	Time 12.746 (12.746)	Data 11.452 (11.452)	Loss 4.2418 (4.2418)	Top-1 acc 21.094 (21.094)	Top-5 acc 48.047 (48.047)	lr 0.01194
Warmup Train [28][10/2134]	Time 0.762 (1.955)	Data 0.002 (1.050)	Loss 4.3466 (4.3072)	Top-1 acc 20.703 (22.514)	Top-5 acc 45.703 (45.881)	lr 0.01193
Warmup Train [28][20/2134]	Time 0.668 (1.322)	Data 0.002 (0.551)	Loss 4.3763 (4.3052)	Top-1 acc 26.172 (23.270)	Top-5 acc 44.141 (46.168)	lr 0.01192
Warmup Train [28][30/2134]	Time 0.750 (1.098)	Data 0.002 (0.374)	Loss 4.2700 (4.3120)	Top-1 acc 23.438 (23.337)	Top-5 acc 46.484 (45.955)	lr 0.01191
Warmup Train [28][40/2134]	Time 0.483 (0.979)	Data 0.002 (0.284)	Loss 4.3181 (4.3111)	Top-1 acc 22.656 (23.190)	Top-5 acc 46.484 (46.256)	lr 0.01191
Warmup Train [28][50/2134]	Time 0.703 (0.912)	Data 0.002 (0.231)	Loss 4.2695 (4.3119)	Top-1 acc 23.828 (23.223)	Top-5 acc 42.188 (45.895)	lr 0.01190
Warmup Train [28][60/2134]	Time 0.726 (0.864)	Data 0.002 (0.194)	Loss 4.2229 (4.3125)	Top-1 acc 27.344 (23.335)	Top-5 acc 49.219 (45.927)	lr 0.01189
Warmup Train [28][70/2134]	Time 0.711 (0.831)	Data 0.002 (0.167)	Loss 4.3606 (4.3129)	Top-1 acc 20.312 (23.267)	Top-5 acc 46.875 (45.967)	lr 0.01188
Warmup Train [28][80/2134]	Time 0.637 (0.805)	Data 0.003 (0.147)	Loss 4.3031 (4.3146)	Top-1 acc 26.562 (23.269)	Top-5 acc 46.484 (45.915)	lr 0.01187
Warmup Train [28][90/2134]	Time 0.686 (0.784)	Data 0.002 (0.131)	Loss 4.1475 (4.3188)	Top-1 acc 25.781 (23.296)	Top-5 acc 51.562 (45.716)	lr 0.01187
Warmup Train [28][100/2134]	Time 0.719 (0.767)	Data 0.003 (0.119)	Loss 4.2848 (4.3141)	Top-1 acc 24.219 (23.422)	Top-5 acc 46.875 (45.897)	lr 0.01186
Warmup Train [28][110/2134]	Time 0.452 (0.752)	Data 0.002 (0.109)	Loss 4.2233 (4.3136)	Top-1 acc 25.391 (23.420)	Top-5 acc 49.219 (45.893)	lr 0.01185
Warmup Train [28][120/2134]	Time 0.630 (0.741)	Data 0.002 (0.102)	Loss 4.2715 (4.3125)	Top-1 acc 25.781 (23.486)	Top-5 acc 46.484 (45.923)	lr 0.01184
Warmup Train [28][130/2134]	Time 0.451 (0.728)	Data 0.002 (0.094)	Loss 4.3787 (4.3114)	Top-1 acc 24.609 (23.530)	Top-5 acc 43.359 (45.992)	lr 0.01184
Warmup Train [28][140/2134]	Time 0.529 (0.721)	Data 0.002 (0.089)	Loss 4.2965 (4.3063)	Top-1 acc 24.219 (23.618)	Top-5 acc 44.141 (46.080)	lr 0.01183
Warmup Train [28][150/2134]	Time 0.555 (0.716)	Data 0.002 (0.084)	Loss 4.3558 (4.3060)	Top-1 acc 21.484 (23.541)	Top-5 acc 45.703 (46.089)	lr 0.01182
Warmup Train [28][160/2134]	Time 0.531 (0.710)	Data 0.002 (0.079)	Loss 4.4456 (4.3073)	Top-1 acc 23.438 (23.578)	Top-5 acc 41.016 (46.089)	lr 0.01181
Warmup Train [28][170/2134]	Time 0.719 (0.704)	Data 0.004 (0.075)	Loss 4.4931 (4.3068)	Top-1 acc 18.750 (23.545)	Top-5 acc 41.406 (46.096)	lr 0.01180
Warmup Train [28][180/2134]	Time 0.633 (0.699)	Data 0.003 (0.071)	Loss 4.2642 (4.3079)	Top-1 acc 23.828 (23.489)	Top-5 acc 44.141 (46.098)	lr 0.01180
Warmup Train [28][190/2134]	Time 0.475 (0.694)	Data 0.004 (0.067)	Loss 4.2793 (4.3066)	Top-1 acc 24.219 (23.495)	Top-5 acc 48.828 (46.163)	lr 0.01179
Warmup Train [28][200/2134]	Time 0.683 (0.710)	Data 0.002 (0.065)	Loss 4.3133 (4.3084)	Top-1 acc 23.438 (23.426)	Top-5 acc 46.094 (46.152)	lr 0.01178
Warmup Train [28][210/2134]	Time 0.435 (0.706)	Data 0.002 (0.062)	Loss 4.2367 (4.3080)	Top-1 acc 24.219 (23.413)	Top-5 acc 45.703 (46.086)	lr 0.01177
Warmup Train [28][220/2134]	Time 0.680 (0.703)	Data 0.002 (0.060)	Loss 4.3566 (4.3061)	Top-1 acc 23.828 (23.446)	Top-5 acc 46.484 (46.143)	lr 0.01177
Warmup Train [28][230/2134]	Time 0.540 (0.699)	Data 0.002 (0.057)	Loss 4.1660 (4.3026)	Top-1 acc 29.688 (23.536)	Top-5 acc 52.734 (46.258)	lr 0.01176
Warmup Train [28][240/2134]	Time 0.514 (0.696)	Data 0.002 (0.056)	Loss 4.3782 (4.3029)	Top-1 acc 24.219 (23.517)	Top-5 acc 45.703 (46.240)	lr 0.01175
Warmup Train [28][250/2134]	Time 0.451 (0.693)	Data 0.003 (0.054)	Loss 4.3450 (4.3018)	Top-1 acc 22.656 (23.540)	Top-5 acc 41.016 (46.246)	lr 0.01174
Warmup Train [28][260/2134]	Time 0.656 (0.691)	Data 0.003 (0.052)	Loss 4.3872 (4.3031)	Top-1 acc 23.438 (23.521)	Top-5 acc 41.406 (46.191)	lr 0.01173
Warmup Train [28][270/2134]	Time 0.691 (0.689)	Data 0.002 (0.051)	Loss 4.3788 (4.3033)	Top-1 acc 21.484 (23.491)	Top-5 acc 45.312 (46.202)	lr 0.01173
Warmup Train [28][280/2134]	Time 0.538 (0.685)	Data 0.002 (0.049)	Loss 4.2269 (4.3055)	Top-1 acc 23.828 (23.456)	Top-5 acc 44.531 (46.141)	lr 0.01172
Warmup Train [28][290/2134]	Time 0.632 (0.682)	Data 0.002 (0.048)	Loss 4.4097 (4.3043)	Top-1 acc 21.875 (23.505)	Top-5 acc 45.703 (46.177)	lr 0.01171
Warmup Train [28][300/2134]	Time 0.680 (0.679)	Data 0.002 (0.046)	Loss 4.1984 (4.3048)	Top-1 acc 24.219 (23.478)	Top-5 acc 48.828 (46.131)	lr 0.01170
Warmup Train [28][310/2134]	Time 0.735 (0.676)	Data 0.002 (0.045)	Loss 4.1095 (4.3050)	Top-1 acc 28.516 (23.463)	Top-5 acc 50.391 (46.128)	lr 0.01170
Warmup Train [28][320/2134]	Time 0.743 (0.675)	Data 0.002 (0.044)	Loss 4.3724 (4.3046)	Top-1 acc 21.875 (23.464)	Top-5 acc 45.312 (46.139)	lr 0.01169
Warmup Train [28][330/2134]	Time 0.456 (0.673)	Data 0.003 (0.042)	Loss 4.2886 (4.3043)	Top-1 acc 24.219 (23.443)	Top-5 acc 48.828 (46.141)	lr 0.01168
Warmup Train [28][340/2134]	Time 0.591 (0.672)	Data 0.002 (0.042)	Loss 4.3876 (4.3046)	Top-1 acc 19.922 (23.443)	Top-5 acc 41.797 (46.158)	lr 0.01167
Warmup Train [28][350/2134]	Time 0.641 (0.670)	Data 0.003 (0.041)	Loss 4.2801 (4.3044)	Top-1 acc 21.875 (23.452)	Top-5 acc 46.875 (46.192)	lr 0.01166
Warmup Train [28][360/2134]	Time 0.616 (0.669)	Data 0.028 (0.040)	Loss 4.3919 (4.3044)	Top-1 acc 21.484 (23.449)	Top-5 acc 46.875 (46.202)	lr 0.01166
Warmup Train [28][370/2134]	Time 0.468 (0.667)	Data 0.002 (0.039)	Loss 4.2446 (4.3048)	Top-1 acc 22.656 (23.427)	Top-5 acc 47.656 (46.191)	lr 0.01165
Warmup Train [28][380/2134]	Time 0.678 (0.666)	Data 0.002 (0.038)	Loss 4.3163 (4.3059)	Top-1 acc 23.047 (23.399)	Top-5 acc 46.484 (46.141)	lr 0.01164
Warmup Train [28][390/2134]	Time 0.610 (0.665)	Data 0.002 (0.037)	Loss 4.5537 (4.3061)	Top-1 acc 17.188 (23.378)	Top-5 acc 44.141 (46.128)	lr 0.01163
Warmup Train [28][400/2134]	Time 0.690 (0.664)	Data 0.002 (0.037)	Loss 4.2913 (4.3064)	Top-1 acc 23.438 (23.348)	Top-5 acc 44.531 (46.123)	lr 0.01163
Warmup Train [28][410/2134]	Time 0.502 (0.662)	Data 0.003 (0.036)	Loss 4.4366 (4.3078)	Top-1 acc 23.828 (23.310)	Top-5 acc 42.188 (46.114)	lr 0.01162
Warmup Train [28][420/2134]	Time 0.779 (0.661)	Data 0.002 (0.035)	Loss 4.1932 (4.3071)	Top-1 acc 24.609 (23.321)	Top-5 acc 50.000 (46.110)	lr 0.01161
Warmup Train [28][430/2134]	Time 0.619 (0.660)	Data 0.002 (0.035)	Loss 4.1990 (4.3075)	Top-1 acc 25.781 (23.348)	Top-5 acc 45.312 (46.086)	lr 0.01160
Warmup Train [28][440/2134]	Time 0.659 (0.659)	Data 0.003 (0.034)	Loss 4.3634 (4.3069)	Top-1 acc 17.969 (23.351)	Top-5 acc 41.016 (46.097)	lr 0.01159
Warmup Train [28][450/2134]	Time 0.592 (0.658)	Data 0.002 (0.033)	Loss 4.0931 (4.3063)	Top-1 acc 25.000 (23.357)	Top-5 acc 50.781 (46.125)	lr 0.01159
Warmup Train [28][460/2134]	Time 0.372 (0.663)	Data 0.002 (0.033)	Loss 4.4507 (4.3055)	Top-1 acc 23.828 (23.346)	Top-5 acc 42.969 (46.125)	lr 0.01158
Warmup Train [28][470/2134]	Time 0.607 (0.663)	Data 0.002 (0.033)	Loss 4.1630 (4.3065)	Top-1 acc 28.125 (23.336)	Top-5 acc 48.438 (46.103)	lr 0.01157
Warmup Train [28][480/2134]	Time 0.604 (0.661)	Data 0.002 (0.032)	Loss 4.2281 (4.3069)	Top-1 acc 24.219 (23.333)	Top-5 acc 49.219 (46.116)	lr 0.01156
Warmup Train [28][490/2134]	Time 0.491 (0.659)	Data 0.002 (0.031)	Loss 4.3525 (4.3077)	Top-1 acc 19.922 (23.322)	Top-5 acc 44.531 (46.105)	lr 0.01156
Warmup Train [28][500/2134]	Time 0.473 (0.659)	Data 0.002 (0.031)	Loss 4.3747 (4.3076)	Top-1 acc 21.484 (23.303)	Top-5 acc 44.141 (46.109)	lr 0.01155
Warmup Train [28][510/2134]	Time 0.679 (0.659)	Data 0.003 (0.031)	Loss 4.4117 (4.3069)	Top-1 acc 21.094 (23.315)	Top-5 acc 44.531 (46.123)	lr 0.01154
Warmup Train [28][520/2134]	Time 0.536 (0.658)	Data 0.002 (0.030)	Loss 4.1992 (4.3073)	Top-1 acc 22.656 (23.311)	Top-5 acc 47.266 (46.100)	lr 0.01153
Warmup Train [28][530/2134]	Time 0.430 (0.657)	Data 0.003 (0.030)	Loss 4.3194 (4.3077)	Top-1 acc 20.703 (23.289)	Top-5 acc 44.531 (46.076)	lr 0.01152
Warmup Train [28][540/2134]	Time 0.581 (0.656)	Data 0.003 (0.030)	Loss 4.3475 (4.3081)	Top-1 acc 20.312 (23.293)	Top-5 acc 42.188 (46.061)	lr 0.01152
Warmup Train [28][550/2134]	Time 0.522 (0.656)	Data 0.002 (0.029)	Loss 4.3209 (4.3076)	Top-1 acc 25.781 (23.311)	Top-5 acc 43.359 (46.059)	lr 0.01151
Warmup Train [28][560/2134]	Time 0.608 (0.655)	Data 0.002 (0.029)	Loss 4.2948 (4.3076)	Top-1 acc 25.000 (23.317)	Top-5 acc 48.047 (46.057)	lr 0.01150
Warmup Train [28][570/2134]	Time 0.613 (0.654)	Data 0.004 (0.029)	Loss 3.9967 (4.3080)	Top-1 acc 28.906 (23.312)	Top-5 acc 54.688 (46.051)	lr 0.01149
Warmup Train [28][580/2134]	Time 0.538 (0.654)	Data 0.002 (0.028)	Loss 4.3219 (4.3084)	Top-1 acc 21.875 (23.289)	Top-5 acc 47.656 (46.045)	lr 0.01149
Warmup Train [28][590/2134]	Time 0.611 (0.653)	Data 0.002 (0.028)	Loss 4.3999 (4.3081)	Top-1 acc 23.828 (23.276)	Top-5 acc 43.750 (46.051)	lr 0.01148
Warmup Train [28][600/2134]	Time 0.712 (0.652)	Data 0.002 (0.027)	Loss 4.4878 (4.3081)	Top-1 acc 21.484 (23.278)	Top-5 acc 43.359 (46.037)	lr 0.01147
Warmup Train [28][610/2134]	Time 0.736 (0.651)	Data 0.002 (0.027)	Loss 4.0416 (4.3063)	Top-1 acc 28.516 (23.291)	Top-5 acc 51.172 (46.087)	lr 0.01146
Warmup Train [28][620/2134]	Time 0.476 (0.651)	Data 0.002 (0.027)	Loss 4.4581 (4.3064)	Top-1 acc 24.609 (23.290)	Top-5 acc 42.578 (46.081)	lr 0.01145
Warmup Train [28][630/2134]	Time 0.605 (0.651)	Data 0.002 (0.026)	Loss 4.3267 (4.3068)	Top-1 acc 23.047 (23.286)	Top-5 acc 42.188 (46.063)	lr 0.01145
Warmup Train [28][640/2134]	Time 0.562 (0.650)	Data 0.002 (0.026)	Loss 4.2481 (4.3067)	Top-1 acc 24.219 (23.291)	Top-5 acc 47.266 (46.074)	lr 0.01144
Warmup Train [28][650/2134]	Time 0.735 (0.649)	Data 0.002 (0.026)	Loss 4.3406 (4.3062)	Top-1 acc 21.484 (23.289)	Top-5 acc 45.703 (46.088)	lr 0.01143
Warmup Train [28][660/2134]	Time 0.593 (0.649)	Data 0.003 (0.026)	Loss 4.3140 (4.3064)	Top-1 acc 23.828 (23.300)	Top-5 acc 46.094 (46.091)	lr 0.01142
Warmup Train [28][670/2134]	Time 0.542 (0.648)	Data 0.002 (0.025)	Loss 4.3075 (4.3073)	Top-1 acc 21.875 (23.271)	Top-5 acc 45.703 (46.063)	lr 0.01142
Warmup Train [28][680/2134]	Time 0.541 (0.648)	Data 0.003 (0.025)	Loss 4.2337 (4.3072)	Top-1 acc 25.781 (23.271)	Top-5 acc 48.047 (46.083)	lr 0.01141
Warmup Train [28][690/2134]	Time 0.617 (0.647)	Data 0.002 (0.025)	Loss 4.4720 (4.3067)	Top-1 acc 20.312 (23.270)	Top-5 acc 43.359 (46.107)	lr 0.01140
Warmup Train [28][700/2134]	Time 0.678 (0.647)	Data 0.003 (0.025)	Loss 4.0817 (4.3059)	Top-1 acc 25.391 (23.281)	Top-5 acc 51.172 (46.129)	lr 0.01139
Warmup Train [28][710/2134]	Time 0.511 (0.647)	Data 0.003 (0.024)	Loss 4.3534 (4.3069)	Top-1 acc 19.141 (23.268)	Top-5 acc 42.969 (46.113)	lr 0.01139
Warmup Train [28][720/2134]	Time 0.684 (0.650)	Data 0.002 (0.024)	Loss 4.2192 (4.3070)	Top-1 acc 26.953 (23.287)	Top-5 acc 50.781 (46.108)	lr 0.01138
Warmup Train [28][730/2134]	Time 0.614 (0.650)	Data 0.002 (0.024)	Loss 4.3749 (4.3069)	Top-1 acc 17.969 (23.278)	Top-5 acc 45.703 (46.104)	lr 0.01137
Warmup Train [28][740/2134]	Time 0.549 (0.649)	Data 0.003 (0.024)	Loss 4.3604 (4.3064)	Top-1 acc 23.047 (23.296)	Top-5 acc 44.922 (46.123)	lr 0.01136
Warmup Train [28][750/2134]	Time 0.607 (0.649)	Data 0.002 (0.023)	Loss 4.0681 (4.3055)	Top-1 acc 30.078 (23.319)	Top-5 acc 49.609 (46.144)	lr 0.01135
Warmup Train [28][760/2134]	Time 0.513 (0.648)	Data 0.002 (0.023)	Loss 4.4777 (4.3049)	Top-1 acc 19.141 (23.335)	Top-5 acc 43.359 (46.156)	lr 0.01135
Warmup Train [28][770/2134]	Time 0.491 (0.648)	Data 0.002 (0.023)	Loss 4.3022 (4.3050)	Top-1 acc 21.875 (23.327)	Top-5 acc 46.875 (46.157)	lr 0.01134
Warmup Train [28][780/2134]	Time 0.635 (0.648)	Data 0.002 (0.023)	Loss 4.2485 (4.3042)	Top-1 acc 23.047 (23.333)	Top-5 acc 44.531 (46.170)	lr 0.01133
Warmup Train [28][790/2134]	Time 0.527 (0.647)	Data 0.002 (0.023)	Loss 4.3803 (4.3046)	Top-1 acc 23.047 (23.319)	Top-5 acc 44.922 (46.147)	lr 0.01132
Warmup Train [28][800/2134]	Time 0.617 (0.647)	Data 0.002 (0.023)	Loss 4.3906 (4.3049)	Top-1 acc 22.656 (23.317)	Top-5 acc 44.531 (46.141)	lr 0.01132
Warmup Train [28][810/2134]	Time 0.615 (0.647)	Data 0.002 (0.022)	Loss 4.3149 (4.3056)	Top-1 acc 17.578 (23.288)	Top-5 acc 46.875 (46.126)	lr 0.01131
Warmup Train [28][820/2134]	Time 0.646 (0.646)	Data 0.002 (0.022)	Loss 4.3021 (4.3058)	Top-1 acc 20.312 (23.275)	Top-5 acc 43.750 (46.108)	lr 0.01130
Warmup Train [28][830/2134]	Time 0.543 (0.646)	Data 0.002 (0.022)	Loss 4.3985 (4.3059)	Top-1 acc 22.266 (23.289)	Top-5 acc 41.797 (46.101)	lr 0.01129
Warmup Train [28][840/2134]	Time 0.694 (0.646)	Data 0.004 (0.022)	Loss 4.3951 (4.3060)	Top-1 acc 20.703 (23.286)	Top-5 acc 42.188 (46.090)	lr 0.01129
Warmup Train [28][850/2134]	Time 0.543 (0.645)	Data 0.003 (0.022)	Loss 4.3221 (4.3055)	Top-1 acc 23.047 (23.304)	Top-5 acc 47.266 (46.104)	lr 0.01128
Warmup Train [28][860/2134]	Time 0.664 (0.645)	Data 0.003 (0.022)	Loss 4.2775 (4.3062)	Top-1 acc 22.266 (23.297)	Top-5 acc 49.609 (46.093)	lr 0.01127
Warmup Train [28][870/2134]	Time 0.660 (0.644)	Data 0.003 (0.021)	Loss 4.3250 (4.3063)	Top-1 acc 22.266 (23.294)	Top-5 acc 44.922 (46.083)	lr 0.01126
Warmup Train [28][880/2134]	Time 0.536 (0.643)	Data 0.002 (0.021)	Loss 4.2997 (4.3061)	Top-1 acc 23.438 (23.295)	Top-5 acc 44.141 (46.084)	lr 0.01125
Warmup Train [28][890/2134]	Time 0.613 (0.643)	Data 0.002 (0.021)	Loss 4.2496 (4.3054)	Top-1 acc 22.266 (23.299)	Top-5 acc 48.828 (46.092)	lr 0.01125
Warmup Train [28][900/2134]	Time 0.536 (0.643)	Data 0.005 (0.021)	Loss 4.2923 (4.3050)	Top-1 acc 26.562 (23.303)	Top-5 acc 46.875 (46.096)	lr 0.01124
Warmup Train [28][910/2134]	Time 0.633 (0.643)	Data 0.002 (0.021)	Loss 4.3370 (4.3053)	Top-1 acc 19.922 (23.291)	Top-5 acc 44.141 (46.096)	lr 0.01123
Warmup Train [28][920/2134]	Time 0.536 (0.642)	Data 0.003 (0.020)	Loss 4.1903 (4.3055)	Top-1 acc 26.172 (23.282)	Top-5 acc 49.609 (46.087)	lr 0.01122
Warmup Train [28][930/2134]	Time 0.694 (0.642)	Data 0.002 (0.020)	Loss 4.4755 (4.3063)	Top-1 acc 21.094 (23.264)	Top-5 acc 41.016 (46.070)	lr 0.01122
Warmup Train [28][940/2134]	Time 0.609 (0.642)	Data 0.002 (0.020)	Loss 4.5192 (4.3062)	Top-1 acc 19.922 (23.269)	Top-5 acc 39.453 (46.065)	lr 0.01121
Warmup Train [28][950/2134]	Time 0.649 (0.641)	Data 0.002 (0.020)	Loss 4.1143 (4.3062)	Top-1 acc 21.875 (23.267)	Top-5 acc 48.828 (46.060)	lr 0.01120
Warmup Train [28][960/2134]	Time 0.675 (0.641)	Data 0.002 (0.020)	Loss 4.1283 (4.3060)	Top-1 acc 25.391 (23.263)	Top-5 acc 46.875 (46.051)	lr 0.01119
Warmup Train [28][970/2134]	Time 0.465 (0.640)	Data 0.002 (0.020)	Loss 4.4030 (4.3062)	Top-1 acc 20.312 (23.258)	Top-5 acc 44.531 (46.052)	lr 0.01119
Warmup Train [28][980/2134]	Time 0.499 (0.643)	Data 0.027 (0.020)	Loss 4.2075 (4.3061)	Top-1 acc 25.000 (23.252)	Top-5 acc 50.000 (46.061)	lr 0.01118
Warmup Train [28][990/2134]	Time 0.685 (0.643)	Data 0.002 (0.020)	Loss 4.4142 (4.3058)	Top-1 acc 19.922 (23.254)	Top-5 acc 43.359 (46.051)	lr 0.01117
Warmup Train [28][1000/2134]	Time 0.617 (0.642)	Data 0.002 (0.019)	Loss 4.2884 (4.3058)	Top-1 acc 24.609 (23.251)	Top-5 acc 45.703 (46.052)	lr 0.01116
Warmup Train [28][1010/2134]	Time 0.638 (0.642)	Data 0.002 (0.019)	Loss 4.3174 (4.3056)	Top-1 acc 23.047 (23.242)	Top-5 acc 44.141 (46.050)	lr 0.01115
Warmup Train [28][1020/2134]	Time 0.717 (0.642)	Data 0.002 (0.019)	Loss 4.2995 (4.3056)	Top-1 acc 22.266 (23.242)	Top-5 acc 46.094 (46.056)	lr 0.01115
Warmup Train [28][1030/2134]	Time 0.590 (0.641)	Data 0.002 (0.019)	Loss 4.2002 (4.3057)	Top-1 acc 22.266 (23.242)	Top-5 acc 48.047 (46.061)	lr 0.01114
Warmup Train [28][1040/2134]	Time 0.498 (0.641)	Data 0.004 (0.019)	Loss 4.2374 (4.3053)	Top-1 acc 23.438 (23.244)	Top-5 acc 47.266 (46.056)	lr 0.01113
Warmup Train [28][1050/2134]	Time 0.525 (0.640)	Data 0.002 (0.019)	Loss 4.4104 (4.3051)	Top-1 acc 21.875 (23.251)	Top-5 acc 44.141 (46.055)	lr 0.01112
Warmup Train [28][1060/2134]	Time 0.572 (0.640)	Data 0.002 (0.019)	Loss 4.2708 (4.3052)	Top-1 acc 25.391 (23.252)	Top-5 acc 46.875 (46.053)	lr 0.01112
Warmup Train [28][1070/2134]	Time 0.717 (0.640)	Data 0.002 (0.019)	Loss 4.3361 (4.3052)	Top-1 acc 23.047 (23.260)	Top-5 acc 43.750 (46.053)	lr 0.01111
Warmup Train [28][1080/2134]	Time 0.629 (0.640)	Data 0.002 (0.019)	Loss 4.2617 (4.3052)	Top-1 acc 25.781 (23.270)	Top-5 acc 46.875 (46.055)	lr 0.01110
Warmup Train [28][1090/2134]	Time 0.641 (0.639)	Data 0.003 (0.019)	Loss 4.4203 (4.3056)	Top-1 acc 22.656 (23.265)	Top-5 acc 44.141 (46.051)	lr 0.01109
Warmup Train [28][1100/2134]	Time 0.465 (0.639)	Data 0.002 (0.018)	Loss 4.3897 (4.3057)	Top-1 acc 24.219 (23.281)	Top-5 acc 45.703 (46.050)	lr 0.01109
Warmup Train [28][1110/2134]	Time 0.610 (0.639)	Data 0.002 (0.018)	Loss 4.2984 (4.3058)	Top-1 acc 22.656 (23.285)	Top-5 acc 48.047 (46.047)	lr 0.01108
Warmup Train [28][1120/2134]	Time 0.479 (0.638)	Data 0.002 (0.018)	Loss 4.3629 (4.3059)	Top-1 acc 25.391 (23.288)	Top-5 acc 45.703 (46.054)	lr 0.01107
Warmup Train [28][1130/2134]	Time 0.441 (0.638)	Data 0.002 (0.018)	Loss 4.1370 (4.3052)	Top-1 acc 25.391 (23.308)	Top-5 acc 50.781 (46.070)	lr 0.01106
Warmup Train [28][1140/2134]	Time 0.519 (0.638)	Data 0.002 (0.018)	Loss 4.4607 (4.3053)	Top-1 acc 21.484 (23.298)	Top-5 acc 43.359 (46.070)	lr 0.01106
Warmup Train [28][1150/2134]	Time 0.486 (0.638)	Data 0.002 (0.018)	Loss 4.2376 (4.3051)	Top-1 acc 24.219 (23.296)	Top-5 acc 47.656 (46.082)	lr 0.01105
Warmup Train [28][1160/2134]	Time 0.745 (0.637)	Data 0.002 (0.018)	Loss 4.2465 (4.3047)	Top-1 acc 22.656 (23.300)	Top-5 acc 48.047 (46.086)	lr 0.01104
Warmup Train [28][1170/2134]	Time 0.617 (0.637)	Data 0.002 (0.018)	Loss 4.3189 (4.3050)	Top-1 acc 20.703 (23.289)	Top-5 acc 42.578 (46.070)	lr 0.01103
Warmup Train [28][1180/2134]	Time 0.663 (0.637)	Data 0.002 (0.018)	Loss 4.2356 (4.3049)	Top-1 acc 26.172 (23.298)	Top-5 acc 49.609 (46.075)	lr 0.01102
Warmup Train [28][1190/2134]	Time 0.649 (0.637)	Data 0.002 (0.018)	Loss 4.2199 (4.3047)	Top-1 acc 25.391 (23.304)	Top-5 acc 44.922 (46.076)	lr 0.01102
Warmup Train [28][1200/2134]	Time 0.676 (0.637)	Data 0.004 (0.018)	Loss 4.1964 (4.3044)	Top-1 acc 26.172 (23.310)	Top-5 acc 45.703 (46.072)	lr 0.01101
Warmup Train [28][1210/2134]	Time 0.683 (0.636)	Data 0.003 (0.018)	Loss 4.2484 (4.3044)	Top-1 acc 24.219 (23.313)	Top-5 acc 50.000 (46.075)	lr 0.01100
Warmup Train [28][1220/2134]	Time 0.547 (0.636)	Data 0.002 (0.018)	Loss 4.4289 (4.3046)	Top-1 acc 20.703 (23.309)	Top-5 acc 44.141 (46.071)	lr 0.01099
Warmup Train [28][1230/2134]	Time 0.725 (0.636)	Data 0.004 (0.017)	Loss 4.3444 (4.3045)	Top-1 acc 23.047 (23.311)	Top-5 acc 45.312 (46.079)	lr 0.01099
Warmup Train [28][1240/2134]	Time 0.604 (0.635)	Data 0.002 (0.017)	Loss 4.1508 (4.3047)	Top-1 acc 24.219 (23.310)	Top-5 acc 46.484 (46.072)	lr 0.01098
Warmup Train [28][1250/2134]	Time 0.639 (0.637)	Data 0.028 (0.017)	Loss 4.2423 (4.3047)	Top-1 acc 28.516 (23.318)	Top-5 acc 47.656 (46.068)	lr 0.01097
Warmup Train [28][1260/2134]	Time 0.634 (0.637)	Data 0.003 (0.017)	Loss 4.3914 (4.3048)	Top-1 acc 22.656 (23.312)	Top-5 acc 42.969 (46.062)	lr 0.01096
Warmup Train [28][1270/2134]	Time 0.650 (0.636)	Data 0.002 (0.017)	Loss 4.2945 (4.3047)	Top-1 acc 23.438 (23.323)	Top-5 acc 48.828 (46.069)	lr 0.01096
Warmup Train [28][1280/2134]	Time 0.577 (0.636)	Data 0.002 (0.017)	Loss 4.2434 (4.3050)	Top-1 acc 23.828 (23.321)	Top-5 acc 46.094 (46.064)	lr 0.01095
Warmup Train [28][1290/2134]	Time 0.614 (0.636)	Data 0.002 (0.017)	Loss 4.3883 (4.3049)	Top-1 acc 22.266 (23.319)	Top-5 acc 46.094 (46.073)	lr 0.01094
Warmup Train [28][1300/2134]	Time 0.584 (0.636)	Data 0.002 (0.017)	Loss 4.3918 (4.3049)	Top-1 acc 23.047 (23.326)	Top-5 acc 44.141 (46.072)	lr 0.01093
Warmup Train [28][1310/2134]	Time 0.697 (0.636)	Data 0.002 (0.017)	Loss 4.3361 (4.3048)	Top-1 acc 22.266 (23.323)	Top-5 acc 47.266 (46.083)	lr 0.01093
Warmup Train [28][1320/2134]	Time 0.652 (0.636)	Data 0.003 (0.017)	Loss 4.1923 (4.3046)	Top-1 acc 26.172 (23.326)	Top-5 acc 46.094 (46.083)	lr 0.01092
Warmup Train [28][1330/2134]	Time 0.537 (0.636)	Data 0.002 (0.016)	Loss 4.1892 (4.3041)	Top-1 acc 26.953 (23.337)	Top-5 acc 51.562 (46.099)	lr 0.01091
Warmup Train [28][1340/2134]	Time 0.568 (0.635)	Data 0.004 (0.016)	Loss 4.1444 (4.3036)	Top-1 acc 26.953 (23.341)	Top-5 acc 48.828 (46.118)	lr 0.01090
Warmup Train [28][1350/2134]	Time 0.766 (0.635)	Data 0.002 (0.016)	Loss 4.3892 (4.3037)	Top-1 acc 21.484 (23.343)	Top-5 acc 46.094 (46.121)	lr 0.01090
Warmup Train [28][1360/2134]	Time 0.648 (0.635)	Data 0.003 (0.016)	Loss 4.2140 (4.3035)	Top-1 acc 26.172 (23.355)	Top-5 acc 45.703 (46.135)	lr 0.01089
Warmup Train [28][1370/2134]	Time 0.430 (0.635)	Data 0.002 (0.016)	Loss 4.4224 (4.3038)	Top-1 acc 24.609 (23.349)	Top-5 acc 47.266 (46.134)	lr 0.01088
Warmup Train [28][1380/2134]	Time 0.625 (0.635)	Data 0.003 (0.016)	Loss 4.2408 (4.3035)	Top-1 acc 22.656 (23.355)	Top-5 acc 45.312 (46.140)	lr 0.01087
Warmup Train [28][1390/2134]	Time 0.584 (0.635)	Data 0.003 (0.016)	Loss 4.3149 (4.3032)	Top-1 acc 22.266 (23.358)	Top-5 acc 43.750 (46.136)	lr 0.01087
Warmup Train [28][1400/2134]	Time 0.602 (0.635)	Data 0.002 (0.016)	Loss 4.2392 (4.3032)	Top-1 acc 26.953 (23.363)	Top-5 acc 49.609 (46.140)	lr 0.01086
Warmup Train [28][1410/2134]	Time 0.796 (0.635)	Data 0.002 (0.016)	Loss 4.3376 (4.3031)	Top-1 acc 21.875 (23.370)	Top-5 acc 44.531 (46.143)	lr 0.01085
Warmup Train [28][1420/2134]	Time 0.493 (0.634)	Data 0.003 (0.016)	Loss 4.1530 (4.3031)	Top-1 acc 25.781 (23.361)	Top-5 acc 48.438 (46.137)	lr 0.01084
Warmup Train [28][1430/2134]	Time 0.613 (0.634)	Data 0.003 (0.016)	Loss 4.2079 (4.3029)	Top-1 acc 23.828 (23.361)	Top-5 acc 48.047 (46.138)	lr 0.01083
Warmup Train [28][1440/2134]	Time 0.651 (0.634)	Data 0.003 (0.016)	Loss 4.1018 (4.3027)	Top-1 acc 29.297 (23.368)	Top-5 acc 49.219 (46.142)	lr 0.01083
Warmup Train [28][1450/2134]	Time 0.603 (0.634)	Data 0.002 (0.016)	Loss 4.2420 (4.3026)	Top-1 acc 24.219 (23.373)	Top-5 acc 46.875 (46.144)	lr 0.01082
Warmup Train [28][1460/2134]	Time 0.642 (0.634)	Data 0.003 (0.016)	Loss 4.3861 (4.3024)	Top-1 acc 21.094 (23.372)	Top-5 acc 48.047 (46.155)	lr 0.01081
Warmup Train [28][1470/2134]	Time 0.661 (0.634)	Data 0.002 (0.016)	Loss 4.4762 (4.3026)	Top-1 acc 19.922 (23.368)	Top-5 acc 41.406 (46.147)	lr 0.01080
Warmup Train [28][1480/2134]	Time 0.600 (0.634)	Data 0.002 (0.015)	Loss 4.3164 (4.3025)	Top-1 acc 24.219 (23.375)	Top-5 acc 48.047 (46.154)	lr 0.01080
Warmup Train [28][1490/2134]	Time 0.392 (0.634)	Data 0.002 (0.015)	Loss 4.2708 (4.3026)	Top-1 acc 25.781 (23.376)	Top-5 acc 45.703 (46.154)	lr 0.01079
Warmup Train [28][1500/2134]	Time 0.725 (0.634)	Data 0.002 (0.015)	Loss 4.2028 (4.3021)	Top-1 acc 28.125 (23.384)	Top-5 acc 50.391 (46.164)	lr 0.01078
Warmup Train [28][1510/2134]	Time 0.742 (0.633)	Data 0.002 (0.015)	Loss 4.2113 (4.3018)	Top-1 acc 23.047 (23.387)	Top-5 acc 46.875 (46.175)	lr 0.01077
Warmup Train [28][1520/2134]	Time 0.632 (0.635)	Data 0.002 (0.015)	Loss 4.3775 (4.3021)	Top-1 acc 20.703 (23.386)	Top-5 acc 42.188 (46.164)	lr 0.01077
Warmup Train [28][1530/2134]	Time 0.682 (0.635)	Data 0.002 (0.015)	Loss 4.2766 (4.3019)	Top-1 acc 25.000 (23.386)	Top-5 acc 44.922 (46.164)	lr 0.01076
Warmup Train [28][1540/2134]	Time 0.601 (0.635)	Data 0.002 (0.015)	Loss 4.2852 (4.3020)	Top-1 acc 25.000 (23.387)	Top-5 acc 46.484 (46.162)	lr 0.01075
Warmup Train [28][1550/2134]	Time 0.412 (0.634)	Data 0.002 (0.015)	Loss 4.3240 (4.3019)	Top-1 acc 21.094 (23.384)	Top-5 acc 45.703 (46.160)	lr 0.01074
Warmup Train [28][1560/2134]	Time 0.594 (0.634)	Data 0.002 (0.015)	Loss 4.2697 (4.3015)	Top-1 acc 23.438 (23.388)	Top-5 acc 48.047 (46.173)	lr 0.01074
Warmup Train [28][1570/2134]	Time 0.649 (0.634)	Data 0.002 (0.015)	Loss 4.2037 (4.3015)	Top-1 acc 25.000 (23.383)	Top-5 acc 50.781 (46.174)	lr 0.01073
Warmup Train [28][1580/2134]	Time 0.720 (0.634)	Data 0.002 (0.015)	Loss 4.2548 (4.3015)	Top-1 acc 22.656 (23.379)	Top-5 acc 46.875 (46.171)	lr 0.01072
Warmup Train [28][1590/2134]	Time 0.629 (0.634)	Data 0.002 (0.015)	Loss 4.2377 (4.3013)	Top-1 acc 23.828 (23.370)	Top-5 acc 47.656 (46.173)	lr 0.01071
Warmup Train [28][1600/2134]	Time 0.578 (0.634)	Data 0.002 (0.015)	Loss 4.4811 (4.3015)	Top-1 acc 18.750 (23.367)	Top-5 acc 36.719 (46.166)	lr 0.01071
Warmup Train [28][1610/2134]	Time 0.606 (0.633)	Data 0.002 (0.015)	Loss 4.4423 (4.3011)	Top-1 acc 21.094 (23.375)	Top-5 acc 44.531 (46.181)	lr 0.01070
Warmup Train [28][1620/2134]	Time 0.661 (0.633)	Data 0.002 (0.015)	Loss 4.4776 (4.3013)	Top-1 acc 19.922 (23.365)	Top-5 acc 41.797 (46.168)	lr 0.01069
Warmup Train [28][1630/2134]	Time 0.569 (0.633)	Data 0.002 (0.015)	Loss 4.1890 (4.3011)	Top-1 acc 22.656 (23.362)	Top-5 acc 46.875 (46.171)	lr 0.01068
Warmup Train [28][1640/2134]	Time 0.604 (0.633)	Data 0.003 (0.015)	Loss 4.3329 (4.3010)	Top-1 acc 22.266 (23.363)	Top-5 acc 48.438 (46.167)	lr 0.01068
Warmup Train [28][1650/2134]	Time 0.624 (0.633)	Data 0.002 (0.015)	Loss 4.3639 (4.3012)	Top-1 acc 22.656 (23.360)	Top-5 acc 48.438 (46.164)	lr 0.01067
Warmup Train [28][1660/2134]	Time 0.555 (0.632)	Data 0.002 (0.015)	Loss 4.3725 (4.3013)	Top-1 acc 23.438 (23.361)	Top-5 acc 46.094 (46.156)	lr 0.01066
Warmup Train [28][1670/2134]	Time 0.661 (0.633)	Data 0.002 (0.015)	Loss 4.1148 (4.3015)	Top-1 acc 24.609 (23.362)	Top-5 acc 49.219 (46.151)	lr 0.01065
Warmup Train [28][1680/2134]	Time 0.639 (0.633)	Data 0.002 (0.014)	Loss 4.2291 (4.3017)	Top-1 acc 24.609 (23.357)	Top-5 acc 47.266 (46.143)	lr 0.01065
Warmup Train [28][1690/2134]	Time 0.532 (0.632)	Data 0.002 (0.014)	Loss 4.1685 (4.3016)	Top-1 acc 23.438 (23.354)	Top-5 acc 51.953 (46.146)	lr 0.01064
Warmup Train [28][1700/2134]	Time 0.522 (0.632)	Data 0.003 (0.014)	Loss 4.3145 (4.3015)	Top-1 acc 20.312 (23.356)	Top-5 acc 47.656 (46.148)	lr 0.01063
Warmup Train [28][1710/2134]	Time 0.452 (0.632)	Data 0.003 (0.014)	Loss 4.2354 (4.3011)	Top-1 acc 27.734 (23.360)	Top-5 acc 47.266 (46.154)	lr 0.01062
Warmup Train [28][1720/2134]	Time 0.723 (0.632)	Data 0.004 (0.014)	Loss 4.3268 (4.3010)	Top-1 acc 24.609 (23.370)	Top-5 acc 48.438 (46.155)	lr 0.01062
Warmup Train [28][1730/2134]	Time 0.713 (0.632)	Data 0.002 (0.014)	Loss 4.2422 (4.3011)	Top-1 acc 22.266 (23.362)	Top-5 acc 45.312 (46.154)	lr 0.01061
Warmup Train [28][1740/2134]	Time 0.634 (0.632)	Data 0.002 (0.014)	Loss 4.4291 (4.3012)	Top-1 acc 21.094 (23.368)	Top-5 acc 43.750 (46.155)	lr 0.01060
Warmup Train [28][1750/2134]	Time 0.638 (0.632)	Data 0.002 (0.014)	Loss 4.2339 (4.3009)	Top-1 acc 23.828 (23.373)	Top-5 acc 48.438 (46.160)	lr 0.01059
Warmup Train [28][1760/2134]	Time 0.691 (0.632)	Data 0.002 (0.014)	Loss 4.2330 (4.3007)	Top-1 acc 21.484 (23.375)	Top-5 acc 48.828 (46.169)	lr 0.01059
Warmup Train [28][1770/2134]	Time 0.642 (0.632)	Data 0.003 (0.014)	Loss 4.2561 (4.3007)	Top-1 acc 26.172 (23.372)	Top-5 acc 42.188 (46.169)	lr 0.01058
Warmup Train [28][1780/2134]	Time 0.815 (0.632)	Data 0.002 (0.014)	Loss 4.2467 (4.3008)	Top-1 acc 23.438 (23.371)	Top-5 acc 49.609 (46.164)	lr 0.01057
Warmup Train [28][1790/2134]	Time 0.459 (0.633)	Data 0.005 (0.014)	Loss 4.2352 (4.3011)	Top-1 acc 23.828 (23.371)	Top-5 acc 49.219 (46.154)	lr 0.01056
Warmup Train [28][1800/2134]	Time 0.611 (0.633)	Data 0.002 (0.014)	Loss 4.2014 (4.3007)	Top-1 acc 25.391 (23.374)	Top-5 acc 46.484 (46.158)	lr 0.01056
Warmup Train [28][1810/2134]	Time 0.794 (0.632)	Data 0.002 (0.014)	Loss 4.1223 (4.3008)	Top-1 acc 27.734 (23.375)	Top-5 acc 51.172 (46.160)	lr 0.01055
Warmup Train [28][1820/2134]	Time 0.565 (0.632)	Data 0.002 (0.014)	Loss 4.1173 (4.3007)	Top-1 acc 26.562 (23.377)	Top-5 acc 50.781 (46.166)	lr 0.01054
Warmup Train [28][1830/2134]	Time 0.775 (0.632)	Data 0.002 (0.014)	Loss 4.3269 (4.3007)	Top-1 acc 22.656 (23.380)	Top-5 acc 44.141 (46.160)	lr 0.01053
Warmup Train [28][1840/2134]	Time 0.579 (0.632)	Data 0.002 (0.014)	Loss 4.3774 (4.3005)	Top-1 acc 21.875 (23.383)	Top-5 acc 42.578 (46.157)	lr 0.01053
Warmup Train [28][1850/2134]	Time 0.472 (0.632)	Data 0.002 (0.014)	Loss 4.3092 (4.3003)	Top-1 acc 19.531 (23.383)	Top-5 acc 44.922 (46.157)	lr 0.01052
Warmup Train [28][1860/2134]	Time 0.671 (0.632)	Data 0.002 (0.014)	Loss 4.2369 (4.3003)	Top-1 acc 21.875 (23.387)	Top-5 acc 41.797 (46.159)	lr 0.01051
Warmup Train [28][1870/2134]	Time 0.659 (0.632)	Data 0.002 (0.014)	Loss 4.3267 (4.3003)	Top-1 acc 23.047 (23.386)	Top-5 acc 44.922 (46.158)	lr 0.01050
Warmup Train [28][1880/2134]	Time 0.634 (0.632)	Data 0.002 (0.014)	Loss 4.4521 (4.3003)	Top-1 acc 21.484 (23.383)	Top-5 acc 43.750 (46.159)	lr 0.01050
Warmup Train [28][1890/2134]	Time 0.567 (0.631)	Data 0.002 (0.014)	Loss 4.0854 (4.3001)	Top-1 acc 25.000 (23.389)	Top-5 acc 52.344 (46.165)	lr 0.01049
Warmup Train [28][1900/2134]	Time 0.419 (0.631)	Data 0.003 (0.014)	Loss 4.2510 (4.3000)	Top-1 acc 23.828 (23.392)	Top-5 acc 44.922 (46.168)	lr 0.01048
Warmup Train [28][1910/2134]	Time 0.735 (0.631)	Data 0.002 (0.014)	Loss 4.2429 (4.2999)	Top-1 acc 26.172 (23.391)	Top-5 acc 52.344 (46.176)	lr 0.01047
Warmup Train [28][1920/2134]	Time 0.736 (0.631)	Data 0.002 (0.014)	Loss 4.2312 (4.3000)	Top-1 acc 26.562 (23.393)	Top-5 acc 48.047 (46.177)	lr 0.01047
Warmup Train [28][1930/2134]	Time 0.435 (0.631)	Data 0.002 (0.014)	Loss 4.2966 (4.3002)	Top-1 acc 23.438 (23.389)	Top-5 acc 43.359 (46.169)	lr 0.01046
Warmup Train [28][1940/2134]	Time 0.652 (0.631)	Data 0.004 (0.014)	Loss 4.1458 (4.3000)	Top-1 acc 25.781 (23.392)	Top-5 acc 50.391 (46.174)	lr 0.01045
Warmup Train [28][1950/2134]	Time 0.573 (0.630)	Data 0.002 (0.014)	Loss 4.1260 (4.3000)	Top-1 acc 23.047 (23.392)	Top-5 acc 51.562 (46.176)	lr 0.01044
Warmup Train [28][1960/2134]	Time 0.557 (0.630)	Data 0.002 (0.014)	Loss 4.2279 (4.3003)	Top-1 acc 25.781 (23.390)	Top-5 acc 48.438 (46.168)	lr 0.01044
Warmup Train [28][1970/2134]	Time 0.782 (0.630)	Data 0.002 (0.014)	Loss 4.1670 (4.3001)	Top-1 acc 23.047 (23.396)	Top-5 acc 47.656 (46.170)	lr 0.01043
Warmup Train [28][1980/2134]	Time 0.667 (0.630)	Data 0.002 (0.014)	Loss 4.3016 (4.3002)	Top-1 acc 19.531 (23.393)	Top-5 acc 44.922 (46.168)	lr 0.01042
Warmup Train [28][1990/2134]	Time 0.502 (0.630)	Data 0.002 (0.013)	Loss 4.2496 (4.3003)	Top-1 acc 23.828 (23.388)	Top-5 acc 49.219 (46.163)	lr 0.01041
Warmup Train [28][2000/2134]	Time 0.729 (0.629)	Data 0.002 (0.013)	Loss 4.3506 (4.3004)	Top-1 acc 24.609 (23.388)	Top-5 acc 46.094 (46.157)	lr 0.01041
Warmup Train [28][2010/2134]	Time 0.642 (0.629)	Data 0.002 (0.013)	Loss 4.3546 (4.3005)	Top-1 acc 20.312 (23.384)	Top-5 acc 46.094 (46.158)	lr 0.01040
Warmup Train [28][2020/2134]	Time 0.604 (0.629)	Data 0.002 (0.013)	Loss 4.2433 (4.3002)	Top-1 acc 23.828 (23.391)	Top-5 acc 50.000 (46.166)	lr 0.01039
Warmup Train [28][2030/2134]	Time 0.762 (0.629)	Data 0.002 (0.013)	Loss 4.2132 (4.3002)	Top-1 acc 24.609 (23.387)	Top-5 acc 45.312 (46.165)	lr 0.01038
Warmup Train [28][2040/2134]	Time 0.726 (0.629)	Data 0.003 (0.013)	Loss 4.4005 (4.3002)	Top-1 acc 21.875 (23.387)	Top-5 acc 45.312 (46.166)	lr 0.01038
Warmup Train [28][2050/2134]	Time 0.615 (0.630)	Data 0.002 (0.013)	Loss 4.2509 (4.3004)	Top-1 acc 22.656 (23.382)	Top-5 acc 46.875 (46.160)	lr 0.01037
Warmup Train [28][2060/2134]	Time 0.671 (0.630)	Data 0.002 (0.013)	Loss 4.1110 (4.3003)	Top-1 acc 24.609 (23.383)	Top-5 acc 50.781 (46.159)	lr 0.01036
Warmup Train [28][2070/2134]	Time 0.708 (0.630)	Data 0.002 (0.013)	Loss 4.2835 (4.3004)	Top-1 acc 26.953 (23.382)	Top-5 acc 49.219 (46.161)	lr 0.01035
Warmup Train [28][2080/2134]	Time 0.637 (0.630)	Data 0.000 (0.013)	Loss 4.2871 (4.3000)	Top-1 acc 23.438 (23.389)	Top-5 acc 43.750 (46.170)	lr 0.01035
Warmup Train [28][2090/2134]	Time 0.629 (0.630)	Data 0.000 (0.013)	Loss 4.3040 (4.3000)	Top-1 acc 26.172 (23.391)	Top-5 acc 46.094 (46.169)	lr 0.01034
Warmup Train [28][2100/2134]	Time 0.717 (0.629)	Data 0.000 (0.013)	Loss 4.1626 (4.2998)	Top-1 acc 25.391 (23.393)	Top-5 acc 50.391 (46.175)	lr 0.01033
Warmup Train [28][2110/2134]	Time 0.619 (0.629)	Data 0.000 (0.013)	Loss 4.0532 (4.2999)	Top-1 acc 27.734 (23.393)	Top-5 acc 51.562 (46.169)	lr 0.01032
Warmup Train [28][2120/2134]	Time 0.542 (0.629)	Data 0.000 (0.013)	Loss 4.1683 (4.2997)	Top-1 acc 24.219 (23.399)	Top-5 acc 50.000 (46.175)	lr 0.01032
Warmup Train [28][2130/2134]	Time 0.497 (0.629)	Data 0.000 (0.013)	Loss 4.2507 (4.2997)	Top-1 acc 23.828 (23.402)	Top-5 acc 47.656 (46.177)	lr 0.01031
Warmup Train [28][2134/2134]	Time 0.619 (0.629)	Data 0.000 (0.013)	Loss 4.2618 (4.2995)	Top-1 acc 25.668 (23.405)	Top-5 acc 50.267 (46.179)	lr 0.01031
==========Warmup Valid [28/40]	loss 3.334	top-1 acc 30.477	top-5 acc 55.941	Train top-1 23.405	top-5 46.179	flops: 442.4M
Warmup Train [29][0/2134]	Time 13.268 (13.268)	Data 11.784 (11.784)	Loss 4.3586 (4.3586)	Top-1 acc 18.359 (18.359)	Top-5 acc 44.922 (44.922)	lr 0.01031
Warmup Train [29][10/2134]	Time 0.460 (1.922)	Data 0.002 (1.087)	Loss 4.1869 (4.3208)	Top-1 acc 23.047 (22.514)	Top-5 acc 48.438 (45.419)	lr 0.01030
Warmup Train [29][20/2134]	Time 0.613 (1.320)	Data 0.002 (0.577)	Loss 4.2514 (4.3044)	Top-1 acc 28.125 (23.289)	Top-5 acc 47.266 (45.536)	lr 0.01029
Warmup Train [29][30/2134]	Time 0.427 (1.099)	Data 0.003 (0.392)	Loss 4.3527 (4.2755)	Top-1 acc 23.047 (23.904)	Top-5 acc 46.094 (46.144)	lr 0.01028
Warmup Train [29][40/2134]	Time 0.600 (0.982)	Data 0.002 (0.299)	Loss 4.2356 (4.2666)	Top-1 acc 25.391 (24.266)	Top-5 acc 49.219 (46.608)	lr 0.01028
Warmup Train [29][50/2134]	Time 0.630 (0.914)	Data 0.002 (0.241)	Loss 4.3467 (4.2625)	Top-1 acc 22.656 (24.165)	Top-5 acc 46.094 (46.814)	lr 0.01027
Warmup Train [29][60/2134]	Time 0.720 (0.869)	Data 0.029 (0.203)	Loss 4.2069 (4.2529)	Top-1 acc 24.609 (24.200)	Top-5 acc 48.828 (47.170)	lr 0.01026
Warmup Train [29][70/2134]	Time 0.624 (0.834)	Data 0.003 (0.175)	Loss 4.3775 (4.2580)	Top-1 acc 20.703 (24.164)	Top-5 acc 42.578 (47.046)	lr 0.01025
Warmup Train [29][80/2134]	Time 0.766 (0.808)	Data 0.002 (0.154)	Loss 4.2489 (4.2573)	Top-1 acc 26.562 (24.079)	Top-5 acc 49.609 (47.131)	lr 0.01025
Warmup Train [29][90/2134]	Time 0.590 (0.784)	Data 0.003 (0.137)	Loss 4.4896 (4.2621)	Top-1 acc 19.141 (23.970)	Top-5 acc 39.453 (46.948)	lr 0.01024
Warmup Train [29][100/2134]	Time 0.638 (0.768)	Data 0.002 (0.124)	Loss 4.5699 (4.2693)	Top-1 acc 17.578 (23.739)	Top-5 acc 37.109 (46.836)	lr 0.01023
Warmup Train [29][110/2134]	Time 0.821 (0.754)	Data 0.002 (0.114)	Loss 4.2864 (4.2718)	Top-1 acc 22.656 (23.726)	Top-5 acc 44.531 (46.696)	lr 0.01022
Warmup Train [29][120/2134]	Time 0.609 (0.741)	Data 0.002 (0.105)	Loss 4.5914 (4.2782)	Top-1 acc 19.922 (23.521)	Top-5 acc 38.281 (46.584)	lr 0.01022
Warmup Train [29][130/2134]	Time 0.470 (0.733)	Data 0.002 (0.098)	Loss 4.2807 (4.2773)	Top-1 acc 22.656 (23.455)	Top-5 acc 46.484 (46.633)	lr 0.01021
Warmup Train [29][140/2134]	Time 0.729 (0.725)	Data 0.002 (0.092)	Loss 4.1027 (4.2802)	Top-1 acc 24.609 (23.415)	Top-5 acc 46.094 (46.515)	lr 0.01020
Warmup Train [29][150/2134]	Time 0.661 (0.717)	Data 0.002 (0.087)	Loss 4.3133 (4.2792)	Top-1 acc 25.391 (23.438)	Top-5 acc 43.359 (46.521)	lr 0.01019
Warmup Train [29][160/2134]	Time 0.690 (0.731)	Data 0.002 (0.082)	Loss 4.3029 (4.2796)	Top-1 acc 19.922 (23.418)	Top-5 acc 46.094 (46.543)	lr 0.01019
Warmup Train [29][170/2134]	Time 0.666 (0.725)	Data 0.002 (0.077)	Loss 4.3548 (4.2807)	Top-1 acc 23.047 (23.447)	Top-5 acc 46.875 (46.510)	lr 0.01018
Warmup Train [29][180/2134]	Time 0.568 (0.719)	Data 0.002 (0.073)	Loss 4.4478 (4.2823)	Top-1 acc 19.531 (23.396)	Top-5 acc 42.188 (46.461)	lr 0.01017
Warmup Train [29][190/2134]	Time 0.676 (0.713)	Data 0.002 (0.070)	Loss 4.2474 (4.2794)	Top-1 acc 23.047 (23.409)	Top-5 acc 42.969 (46.574)	lr 0.01016
Warmup Train [29][200/2134]	Time 0.639 (0.708)	Data 0.004 (0.066)	Loss 4.4414 (4.2821)	Top-1 acc 20.312 (23.362)	Top-5 acc 41.797 (46.523)	lr 0.01016
Warmup Train [29][210/2134]	Time 0.678 (0.703)	Data 0.002 (0.063)	Loss 3.9452 (4.2807)	Top-1 acc 29.688 (23.438)	Top-5 acc 57.422 (46.570)	lr 0.01015
Warmup Train [29][220/2134]	Time 0.517 (0.699)	Data 0.003 (0.061)	Loss 4.0727 (4.2783)	Top-1 acc 28.125 (23.415)	Top-5 acc 53.516 (46.580)	lr 0.01014
Warmup Train [29][230/2134]	Time 0.631 (0.695)	Data 0.002 (0.058)	Loss 4.1819 (4.2743)	Top-1 acc 27.344 (23.519)	Top-5 acc 50.781 (46.703)	lr 0.01013
Warmup Train [29][240/2134]	Time 0.687 (0.692)	Data 0.003 (0.056)	Loss 4.2302 (4.2737)	Top-1 acc 26.562 (23.549)	Top-5 acc 47.266 (46.770)	lr 0.01013
Warmup Train [29][250/2134]	Time 0.726 (0.688)	Data 0.003 (0.054)	Loss 4.0780 (4.2725)	Top-1 acc 28.906 (23.582)	Top-5 acc 51.172 (46.828)	lr 0.01012
Warmup Train [29][260/2134]	Time 0.795 (0.685)	Data 0.002 (0.052)	Loss 4.3307 (4.2738)	Top-1 acc 22.656 (23.571)	Top-5 acc 46.484 (46.814)	lr 0.01011
Warmup Train [29][270/2134]	Time 0.438 (0.682)	Data 0.002 (0.050)	Loss 4.2923 (4.2745)	Top-1 acc 25.000 (23.603)	Top-5 acc 45.312 (46.810)	lr 0.01011
Warmup Train [29][280/2134]	Time 0.624 (0.680)	Data 0.002 (0.049)	Loss 4.3468 (4.2736)	Top-1 acc 22.266 (23.682)	Top-5 acc 46.094 (46.864)	lr 0.01010
Warmup Train [29][290/2134]	Time 0.718 (0.678)	Data 0.003 (0.047)	Loss 4.4198 (4.2752)	Top-1 acc 20.703 (23.684)	Top-5 acc 44.531 (46.824)	lr 0.01009
Warmup Train [29][300/2134]	Time 0.634 (0.676)	Data 0.002 (0.046)	Loss 4.2051 (4.2756)	Top-1 acc 25.000 (23.657)	Top-5 acc 50.391 (46.828)	lr 0.01008
Warmup Train [29][310/2134]	Time 0.588 (0.674)	Data 0.002 (0.045)	Loss 4.2416 (4.2757)	Top-1 acc 19.922 (23.652)	Top-5 acc 51.172 (46.827)	lr 0.01008
Warmup Train [29][320/2134]	Time 0.689 (0.672)	Data 0.002 (0.043)	Loss 4.3530 (4.2761)	Top-1 acc 21.484 (23.629)	Top-5 acc 41.797 (46.798)	lr 0.01007
Warmup Train [29][330/2134]	Time 0.592 (0.670)	Data 0.004 (0.042)	Loss 4.3075 (4.2751)	Top-1 acc 25.391 (23.657)	Top-5 acc 41.797 (46.814)	lr 0.01006
Warmup Train [29][340/2134]	Time 0.657 (0.668)	Data 0.002 (0.041)	Loss 4.2907 (4.2743)	Top-1 acc 23.438 (23.664)	Top-5 acc 43.750 (46.869)	lr 0.01005
Warmup Train [29][350/2134]	Time 0.660 (0.667)	Data 0.003 (0.040)	Loss 4.2499 (4.2761)	Top-1 acc 21.875 (23.652)	Top-5 acc 46.094 (46.832)	lr 0.01005
Warmup Train [29][360/2134]	Time 0.458 (0.665)	Data 0.002 (0.039)	Loss 4.1815 (4.2765)	Top-1 acc 23.047 (23.637)	Top-5 acc 51.953 (46.821)	lr 0.01004
Warmup Train [29][370/2134]	Time 0.549 (0.663)	Data 0.002 (0.038)	Loss 4.2304 (4.2768)	Top-1 acc 27.344 (23.655)	Top-5 acc 46.484 (46.823)	lr 0.01003
Warmup Train [29][380/2134]	Time 0.633 (0.662)	Data 0.002 (0.038)	Loss 4.4641 (4.2759)	Top-1 acc 21.484 (23.657)	Top-5 acc 41.797 (46.847)	lr 0.01002
Warmup Train [29][390/2134]	Time 0.663 (0.661)	Data 0.004 (0.037)	Loss 4.4768 (4.2754)	Top-1 acc 19.922 (23.680)	Top-5 acc 41.016 (46.855)	lr 0.01002
Warmup Train [29][400/2134]	Time 0.621 (0.660)	Data 0.002 (0.036)	Loss 4.5067 (4.2769)	Top-1 acc 19.922 (23.681)	Top-5 acc 44.531 (46.836)	lr 0.01001
Warmup Train [29][410/2134]	Time 0.456 (0.658)	Data 0.002 (0.036)	Loss 4.3832 (4.2769)	Top-1 acc 22.656 (23.678)	Top-5 acc 44.141 (46.832)	lr 0.01000
Warmup Train [29][420/2134]	Time 0.475 (0.657)	Data 0.003 (0.035)	Loss 4.0426 (4.2766)	Top-1 acc 27.344 (23.704)	Top-5 acc 53.125 (46.864)	lr 0.00999
Warmup Train [29][430/2134]	Time 0.593 (0.663)	Data 0.002 (0.035)	Loss 4.3668 (4.2771)	Top-1 acc 21.484 (23.702)	Top-5 acc 44.922 (46.877)	lr 0.00999
Warmup Train [29][440/2134]	Time 0.419 (0.662)	Data 0.002 (0.034)	Loss 4.2656 (4.2766)	Top-1 acc 23.438 (23.687)	Top-5 acc 49.219 (46.889)	lr 0.00998
Warmup Train [29][450/2134]	Time 0.621 (0.661)	Data 0.003 (0.034)	Loss 4.3375 (4.2766)	Top-1 acc 17.578 (23.678)	Top-5 acc 43.750 (46.886)	lr 0.00997
Warmup Train [29][460/2134]	Time 0.772 (0.660)	Data 0.002 (0.033)	Loss 4.0746 (4.2755)	Top-1 acc 25.781 (23.693)	Top-5 acc 50.000 (46.890)	lr 0.00997
Warmup Train [29][470/2134]	Time 0.434 (0.658)	Data 0.003 (0.032)	Loss 4.3500 (4.2747)	Top-1 acc 23.047 (23.698)	Top-5 acc 45.312 (46.907)	lr 0.00996
Warmup Train [29][480/2134]	Time 0.399 (0.656)	Data 0.002 (0.032)	Loss 4.0017 (4.2749)	Top-1 acc 28.125 (23.703)	Top-5 acc 56.250 (46.932)	lr 0.00995
Warmup Train [29][490/2134]	Time 0.490 (0.656)	Data 0.002 (0.032)	Loss 4.3319 (4.2748)	Top-1 acc 23.828 (23.718)	Top-5 acc 46.094 (46.927)	lr 0.00994
Warmup Train [29][500/2134]	Time 0.401 (0.654)	Data 0.003 (0.031)	Loss 4.4266 (4.2757)	Top-1 acc 16.797 (23.674)	Top-5 acc 39.844 (46.885)	lr 0.00994
Warmup Train [29][510/2134]	Time 0.538 (0.653)	Data 0.002 (0.031)	Loss 4.2690 (4.2752)	Top-1 acc 19.922 (23.666)	Top-5 acc 47.656 (46.895)	lr 0.00993
Warmup Train [29][520/2134]	Time 0.566 (0.652)	Data 0.003 (0.031)	Loss 4.2601 (4.2738)	Top-1 acc 24.219 (23.701)	Top-5 acc 46.484 (46.915)	lr 0.00992
Warmup Train [29][530/2134]	Time 0.552 (0.652)	Data 0.002 (0.030)	Loss 4.2786 (4.2746)	Top-1 acc 26.953 (23.707)	Top-5 acc 48.828 (46.930)	lr 0.00991
Warmup Train [29][540/2134]	Time 0.483 (0.651)	Data 0.003 (0.030)	Loss 4.3026 (4.2740)	Top-1 acc 23.828 (23.707)	Top-5 acc 47.266 (46.924)	lr 0.00991
Warmup Train [29][550/2134]	Time 0.586 (0.651)	Data 0.002 (0.029)	Loss 4.3429 (4.2729)	Top-1 acc 22.656 (23.718)	Top-5 acc 48.047 (46.944)	lr 0.00990
Warmup Train [29][560/2134]	Time 0.591 (0.650)	Data 0.002 (0.029)	Loss 4.4120 (4.2722)	Top-1 acc 22.656 (23.731)	Top-5 acc 43.359 (46.965)	lr 0.00989
Warmup Train [29][570/2134]	Time 0.536 (0.650)	Data 0.002 (0.029)	Loss 4.4004 (4.2722)	Top-1 acc 19.531 (23.726)	Top-5 acc 44.141 (46.957)	lr 0.00988
Warmup Train [29][580/2134]	Time 0.722 (0.649)	Data 0.002 (0.028)	Loss 4.3286 (4.2729)	Top-1 acc 22.656 (23.735)	Top-5 acc 46.094 (46.944)	lr 0.00988
Warmup Train [29][590/2134]	Time 0.648 (0.649)	Data 0.002 (0.028)	Loss 4.3123 (4.2734)	Top-1 acc 22.656 (23.721)	Top-5 acc 48.438 (46.931)	lr 0.00987
Warmup Train [29][600/2134]	Time 0.631 (0.648)	Data 0.003 (0.027)	Loss 4.4328 (4.2731)	Top-1 acc 17.188 (23.728)	Top-5 acc 41.406 (46.934)	lr 0.00986
Warmup Train [29][610/2134]	Time 0.518 (0.647)	Data 0.004 (0.027)	Loss 4.1675 (4.2732)	Top-1 acc 26.172 (23.728)	Top-5 acc 52.734 (46.931)	lr 0.00986
Warmup Train [29][620/2134]	Time 0.657 (0.647)	Data 0.003 (0.027)	Loss 4.5335 (4.2738)	Top-1 acc 20.312 (23.702)	Top-5 acc 41.797 (46.915)	lr 0.00985
Warmup Train [29][630/2134]	Time 0.815 (0.646)	Data 0.002 (0.027)	Loss 4.1443 (4.2737)	Top-1 acc 25.781 (23.691)	Top-5 acc 51.953 (46.916)	lr 0.00984
Warmup Train [29][640/2134]	Time 0.611 (0.646)	Data 0.002 (0.026)	Loss 4.2474 (4.2733)	Top-1 acc 25.781 (23.712)	Top-5 acc 44.922 (46.935)	lr 0.00983
Warmup Train [29][650/2134]	Time 0.679 (0.645)	Data 0.002 (0.026)	Loss 4.3733 (4.2734)	Top-1 acc 21.094 (23.711)	Top-5 acc 48.047 (46.930)	lr 0.00983
Warmup Train [29][660/2134]	Time 0.538 (0.644)	Data 0.002 (0.026)	Loss 4.5140 (4.2743)	Top-1 acc 16.406 (23.702)	Top-5 acc 39.844 (46.917)	lr 0.00982
Warmup Train [29][670/2134]	Time 0.657 (0.644)	Data 0.003 (0.025)	Loss 4.2408 (4.2741)	Top-1 acc 23.438 (23.683)	Top-5 acc 49.609 (46.923)	lr 0.00981
Warmup Train [29][680/2134]	Time 0.620 (0.644)	Data 0.002 (0.025)	Loss 4.2657 (4.2735)	Top-1 acc 20.312 (23.681)	Top-5 acc 46.875 (46.936)	lr 0.00980
Warmup Train [29][690/2134]	Time 0.790 (0.643)	Data 0.002 (0.025)	Loss 4.2947 (4.2743)	Top-1 acc 21.484 (23.656)	Top-5 acc 48.438 (46.935)	lr 0.00980
Warmup Train [29][700/2134]	Time 0.494 (0.647)	Data 0.002 (0.024)	Loss 4.1907 (4.2750)	Top-1 acc 27.344 (23.644)	Top-5 acc 51.953 (46.943)	lr 0.00979
Warmup Train [29][710/2134]	Time 0.783 (0.646)	Data 0.002 (0.024)	Loss 4.2034 (4.2756)	Top-1 acc 26.562 (23.637)	Top-5 acc 46.484 (46.924)	lr 0.00978
Warmup Train [29][720/2134]	Time 0.633 (0.646)	Data 0.004 (0.024)	Loss 4.2974 (4.2761)	Top-1 acc 25.391 (23.629)	Top-5 acc 43.359 (46.889)	lr 0.00977
Warmup Train [29][730/2134]	Time 0.708 (0.645)	Data 0.004 (0.024)	Loss 4.3098 (4.2762)	Top-1 acc 24.609 (23.632)	Top-5 acc 46.094 (46.879)	lr 0.00977
Warmup Train [29][740/2134]	Time 0.646 (0.644)	Data 0.002 (0.023)	Loss 4.2044 (4.2761)	Top-1 acc 25.000 (23.633)	Top-5 acc 50.391 (46.884)	lr 0.00976
Warmup Train [29][750/2134]	Time 0.675 (0.644)	Data 0.002 (0.023)	Loss 4.2598 (4.2758)	Top-1 acc 23.828 (23.646)	Top-5 acc 49.219 (46.889)	lr 0.00975
Warmup Train [29][760/2134]	Time 0.639 (0.644)	Data 0.002 (0.023)	Loss 4.4097 (4.2752)	Top-1 acc 25.781 (23.652)	Top-5 acc 44.141 (46.911)	lr 0.00975
Warmup Train [29][770/2134]	Time 0.620 (0.643)	Data 0.002 (0.023)	Loss 4.5162 (4.2758)	Top-1 acc 19.531 (23.640)	Top-5 acc 41.406 (46.888)	lr 0.00974
Warmup Train [29][780/2134]	Time 0.417 (0.643)	Data 0.002 (0.023)	Loss 4.3360 (4.2760)	Top-1 acc 20.703 (23.639)	Top-5 acc 45.703 (46.881)	lr 0.00973
Warmup Train [29][790/2134]	Time 0.594 (0.642)	Data 0.004 (0.023)	Loss 4.4477 (4.2762)	Top-1 acc 19.141 (23.642)	Top-5 acc 41.406 (46.865)	lr 0.00972
Warmup Train [29][800/2134]	Time 0.628 (0.642)	Data 0.002 (0.022)	Loss 4.4174 (4.2761)	Top-1 acc 16.797 (23.634)	Top-5 acc 42.188 (46.867)	lr 0.00972
Warmup Train [29][810/2134]	Time 0.618 (0.642)	Data 0.003 (0.022)	Loss 4.1863 (4.2760)	Top-1 acc 27.734 (23.648)	Top-5 acc 45.703 (46.865)	lr 0.00971
Warmup Train [29][820/2134]	Time 0.782 (0.641)	Data 0.005 (0.022)	Loss 4.0264 (4.2758)	Top-1 acc 25.391 (23.639)	Top-5 acc 51.172 (46.871)	lr 0.00970
Warmup Train [29][830/2134]	Time 0.684 (0.641)	Data 0.003 (0.022)	Loss 4.2248 (4.2761)	Top-1 acc 26.562 (23.638)	Top-5 acc 49.219 (46.864)	lr 0.00969
Warmup Train [29][840/2134]	Time 0.514 (0.641)	Data 0.002 (0.022)	Loss 4.1854 (4.2759)	Top-1 acc 24.609 (23.641)	Top-5 acc 49.609 (46.868)	lr 0.00969
Warmup Train [29][850/2134]	Time 0.642 (0.640)	Data 0.005 (0.021)	Loss 4.2729 (4.2758)	Top-1 acc 25.781 (23.655)	Top-5 acc 47.656 (46.868)	lr 0.00968
Warmup Train [29][860/2134]	Time 0.649 (0.640)	Data 0.002 (0.021)	Loss 4.1568 (4.2753)	Top-1 acc 25.000 (23.667)	Top-5 acc 50.781 (46.877)	lr 0.00967
Warmup Train [29][870/2134]	Time 0.588 (0.640)	Data 0.003 (0.021)	Loss 4.3777 (4.2754)	Top-1 acc 22.266 (23.665)	Top-5 acc 42.188 (46.862)	lr 0.00967
Warmup Train [29][880/2134]	Time 0.723 (0.639)	Data 0.002 (0.021)	Loss 4.2302 (4.2757)	Top-1 acc 23.047 (23.660)	Top-5 acc 50.781 (46.851)	lr 0.00966
Warmup Train [29][890/2134]	Time 0.654 (0.639)	Data 0.003 (0.021)	Loss 4.3661 (4.2762)	Top-1 acc 22.656 (23.645)	Top-5 acc 44.531 (46.839)	lr 0.00965
Warmup Train [29][900/2134]	Time 0.633 (0.639)	Data 0.002 (0.021)	Loss 4.3108 (4.2764)	Top-1 acc 24.609 (23.646)	Top-5 acc 46.875 (46.840)	lr 0.00964
Warmup Train [29][910/2134]	Time 0.579 (0.638)	Data 0.004 (0.020)	Loss 4.4172 (4.2768)	Top-1 acc 23.828 (23.647)	Top-5 acc 46.484 (46.820)	lr 0.00964
Warmup Train [29][920/2134]	Time 0.602 (0.638)	Data 0.002 (0.020)	Loss 4.3492 (4.2766)	Top-1 acc 22.656 (23.660)	Top-5 acc 48.047 (46.825)	lr 0.00963
Warmup Train [29][930/2134]	Time 0.505 (0.638)	Data 0.002 (0.020)	Loss 4.2789 (4.2762)	Top-1 acc 24.219 (23.685)	Top-5 acc 50.000 (46.849)	lr 0.00962
Warmup Train [29][940/2134]	Time 0.753 (0.638)	Data 0.003 (0.020)	Loss 4.2646 (4.2757)	Top-1 acc 22.266 (23.691)	Top-5 acc 48.047 (46.869)	lr 0.00961
Warmup Train [29][950/2134]	Time 0.587 (0.637)	Data 0.002 (0.020)	Loss 4.3527 (4.2754)	Top-1 acc 21.484 (23.697)	Top-5 acc 46.484 (46.880)	lr 0.00961
Warmup Train [29][960/2134]	Time 0.653 (0.637)	Data 0.002 (0.020)	Loss 4.2187 (4.2751)	Top-1 acc 25.781 (23.703)	Top-5 acc 47.656 (46.882)	lr 0.00960
Warmup Train [29][970/2134]	Time 0.742 (0.637)	Data 0.002 (0.020)	Loss 4.4470 (4.2748)	Top-1 acc 17.578 (23.709)	Top-5 acc 41.406 (46.884)	lr 0.00959
Warmup Train [29][980/2134]	Time 0.597 (0.639)	Data 0.002 (0.019)	Loss 4.0150 (4.2746)	Top-1 acc 27.734 (23.717)	Top-5 acc 51.172 (46.889)	lr 0.00959
Warmup Train [29][990/2134]	Time 0.616 (0.639)	Data 0.002 (0.019)	Loss 4.4321 (4.2747)	Top-1 acc 22.266 (23.721)	Top-5 acc 42.969 (46.884)	lr 0.00958
Warmup Train [29][1000/2134]	Time 0.619 (0.639)	Data 0.002 (0.019)	Loss 4.2486 (4.2748)	Top-1 acc 24.609 (23.722)	Top-5 acc 50.781 (46.889)	lr 0.00957
Warmup Train [29][1010/2134]	Time 0.569 (0.638)	Data 0.002 (0.019)	Loss 4.3136 (4.2747)	Top-1 acc 21.484 (23.727)	Top-5 acc 43.359 (46.882)	lr 0.00956
Warmup Train [29][1020/2134]	Time 0.583 (0.638)	Data 0.002 (0.019)	Loss 4.2690 (4.2742)	Top-1 acc 23.047 (23.735)	Top-5 acc 44.922 (46.880)	lr 0.00956
Warmup Train [29][1030/2134]	Time 0.637 (0.638)	Data 0.003 (0.019)	Loss 4.4707 (4.2738)	Top-1 acc 24.609 (23.754)	Top-5 acc 44.922 (46.893)	lr 0.00955
Warmup Train [29][1040/2134]	Time 0.589 (0.638)	Data 0.002 (0.019)	Loss 4.2930 (4.2743)	Top-1 acc 24.219 (23.744)	Top-5 acc 45.312 (46.888)	lr 0.00954
Warmup Train [29][1050/2134]	Time 0.540 (0.637)	Data 0.002 (0.019)	Loss 4.2961 (4.2741)	Top-1 acc 22.656 (23.756)	Top-5 acc 44.922 (46.889)	lr 0.00954
Warmup Train [29][1060/2134]	Time 0.589 (0.637)	Data 0.002 (0.018)	Loss 4.2034 (4.2737)	Top-1 acc 23.047 (23.749)	Top-5 acc 48.047 (46.898)	lr 0.00953
Warmup Train [29][1070/2134]	Time 0.637 (0.637)	Data 0.002 (0.018)	Loss 4.1236 (4.2734)	Top-1 acc 26.562 (23.758)	Top-5 acc 51.562 (46.901)	lr 0.00952
Warmup Train [29][1080/2134]	Time 0.830 (0.637)	Data 0.003 (0.018)	Loss 3.9754 (4.2734)	Top-1 acc 28.906 (23.749)	Top-5 acc 53.516 (46.901)	lr 0.00951
Warmup Train [29][1090/2134]	Time 0.647 (0.637)	Data 0.003 (0.018)	Loss 4.3083 (4.2733)	Top-1 acc 23.047 (23.750)	Top-5 acc 46.094 (46.897)	lr 0.00951
Warmup Train [29][1100/2134]	Time 0.461 (0.636)	Data 0.002 (0.018)	Loss 4.5451 (4.2735)	Top-1 acc 18.750 (23.744)	Top-5 acc 44.531 (46.890)	lr 0.00950
Warmup Train [29][1110/2134]	Time 0.667 (0.636)	Data 0.002 (0.018)	Loss 4.2826 (4.2731)	Top-1 acc 25.391 (23.747)	Top-5 acc 46.875 (46.903)	lr 0.00949
Warmup Train [29][1120/2134]	Time 0.583 (0.636)	Data 0.005 (0.018)	Loss 4.3193 (4.2724)	Top-1 acc 23.828 (23.763)	Top-5 acc 44.922 (46.927)	lr 0.00948
Warmup Train [29][1130/2134]	Time 0.587 (0.636)	Data 0.004 (0.018)	Loss 4.3462 (4.2727)	Top-1 acc 23.828 (23.756)	Top-5 acc 43.750 (46.918)	lr 0.00948
Warmup Train [29][1140/2134]	Time 0.612 (0.635)	Data 0.003 (0.018)	Loss 4.4528 (4.2731)	Top-1 acc 19.531 (23.754)	Top-5 acc 41.406 (46.908)	lr 0.00947
Warmup Train [29][1150/2134]	Time 0.470 (0.635)	Data 0.003 (0.018)	Loss 4.1861 (4.2732)	Top-1 acc 22.266 (23.755)	Top-5 acc 49.219 (46.913)	lr 0.00946
Warmup Train [29][1160/2134]	Time 0.619 (0.635)	Data 0.002 (0.018)	Loss 4.1912 (4.2730)	Top-1 acc 24.219 (23.755)	Top-5 acc 54.688 (46.926)	lr 0.00946
Warmup Train [29][1170/2134]	Time 0.732 (0.635)	Data 0.002 (0.017)	Loss 4.2366 (4.2728)	Top-1 acc 28.516 (23.765)	Top-5 acc 46.875 (46.933)	lr 0.00945
Warmup Train [29][1180/2134]	Time 0.619 (0.635)	Data 0.002 (0.017)	Loss 4.1940 (4.2727)	Top-1 acc 25.000 (23.765)	Top-5 acc 49.609 (46.932)	lr 0.00944
Warmup Train [29][1190/2134]	Time 0.676 (0.635)	Data 0.002 (0.017)	Loss 4.5516 (4.2726)	Top-1 acc 17.188 (23.772)	Top-5 acc 40.234 (46.926)	lr 0.00943
Warmup Train [29][1200/2134]	Time 0.610 (0.634)	Data 0.002 (0.017)	Loss 4.3545 (4.2726)	Top-1 acc 19.531 (23.775)	Top-5 acc 45.312 (46.929)	lr 0.00943
Warmup Train [29][1210/2134]	Time 0.493 (0.634)	Data 0.003 (0.017)	Loss 4.1377 (4.2725)	Top-1 acc 23.438 (23.777)	Top-5 acc 51.172 (46.929)	lr 0.00942
Warmup Train [29][1220/2134]	Time 0.617 (0.634)	Data 0.002 (0.017)	Loss 4.2467 (4.2723)	Top-1 acc 23.047 (23.770)	Top-5 acc 46.484 (46.927)	lr 0.00941
Warmup Train [29][1230/2134]	Time 0.542 (0.633)	Data 0.002 (0.017)	Loss 4.2400 (4.2726)	Top-1 acc 24.609 (23.768)	Top-5 acc 48.828 (46.918)	lr 0.00941
Warmup Train [29][1240/2134]	Time 0.580 (0.633)	Data 0.004 (0.017)	Loss 4.3277 (4.2726)	Top-1 acc 21.875 (23.765)	Top-5 acc 46.094 (46.913)	lr 0.00940
Warmup Train [29][1250/2134]	Time 0.525 (0.635)	Data 0.002 (0.017)	Loss 4.2086 (4.2722)	Top-1 acc 26.172 (23.779)	Top-5 acc 50.391 (46.921)	lr 0.00939
Warmup Train [29][1260/2134]	Time 0.584 (0.635)	Data 0.002 (0.017)	Loss 3.9973 (4.2717)	Top-1 acc 26.953 (23.784)	Top-5 acc 55.078 (46.934)	lr 0.00938
Warmup Train [29][1270/2134]	Time 0.610 (0.635)	Data 0.002 (0.017)	Loss 4.1307 (4.2716)	Top-1 acc 26.953 (23.799)	Top-5 acc 51.562 (46.941)	lr 0.00938
Warmup Train [29][1280/2134]	Time 0.593 (0.635)	Data 0.002 (0.017)	Loss 4.3008 (4.2713)	Top-1 acc 22.266 (23.799)	Top-5 acc 44.531 (46.939)	lr 0.00937
Warmup Train [29][1290/2134]	Time 0.523 (0.634)	Data 0.002 (0.016)	Loss 4.3138 (4.2714)	Top-1 acc 26.953 (23.803)	Top-5 acc 45.703 (46.931)	lr 0.00936
Warmup Train [29][1300/2134]	Time 0.647 (0.634)	Data 0.002 (0.016)	Loss 4.2488 (4.2719)	Top-1 acc 24.609 (23.802)	Top-5 acc 46.484 (46.918)	lr 0.00936
Warmup Train [29][1310/2134]	Time 0.620 (0.634)	Data 0.002 (0.016)	Loss 4.3717 (4.2722)	Top-1 acc 21.094 (23.798)	Top-5 acc 43.359 (46.908)	lr 0.00935
Warmup Train [29][1320/2134]	Time 0.739 (0.634)	Data 0.002 (0.016)	Loss 4.2366 (4.2721)	Top-1 acc 26.953 (23.798)	Top-5 acc 45.703 (46.908)	lr 0.00934
Warmup Train [29][1330/2134]	Time 0.671 (0.634)	Data 0.002 (0.016)	Loss 4.3522 (4.2720)	Top-1 acc 22.656 (23.794)	Top-5 acc 41.797 (46.908)	lr 0.00933
Warmup Train [29][1340/2134]	Time 0.662 (0.634)	Data 0.003 (0.016)	Loss 4.2950 (4.2716)	Top-1 acc 23.047 (23.803)	Top-5 acc 42.969 (46.924)	lr 0.00933
Warmup Train [29][1350/2134]	Time 0.698 (0.634)	Data 0.002 (0.016)	Loss 4.2453 (4.2711)	Top-1 acc 24.219 (23.808)	Top-5 acc 49.219 (46.934)	lr 0.00932
Warmup Train [29][1360/2134]	Time 0.603 (0.634)	Data 0.002 (0.016)	Loss 4.2827 (4.2711)	Top-1 acc 25.391 (23.811)	Top-5 acc 45.703 (46.942)	lr 0.00931
Warmup Train [29][1370/2134]	Time 0.490 (0.633)	Data 0.003 (0.016)	Loss 4.3025 (4.2710)	Top-1 acc 23.828 (23.805)	Top-5 acc 44.531 (46.949)	lr 0.00931
Warmup Train [29][1380/2134]	Time 0.582 (0.633)	Data 0.002 (0.016)	Loss 4.2466 (4.2709)	Top-1 acc 23.438 (23.812)	Top-5 acc 44.922 (46.954)	lr 0.00930
Warmup Train [29][1390/2134]	Time 0.618 (0.633)	Data 0.003 (0.016)	Loss 4.2229 (4.2709)	Top-1 acc 26.953 (23.818)	Top-5 acc 49.219 (46.956)	lr 0.00929
Warmup Train [29][1400/2134]	Time 0.496 (0.633)	Data 0.002 (0.016)	Loss 4.1671 (4.2704)	Top-1 acc 26.172 (23.828)	Top-5 acc 49.219 (46.966)	lr 0.00928
Warmup Train [29][1410/2134]	Time 0.649 (0.633)	Data 0.002 (0.016)	Loss 4.1752 (4.2702)	Top-1 acc 27.734 (23.833)	Top-5 acc 48.438 (46.970)	lr 0.00928
Warmup Train [29][1420/2134]	Time 0.552 (0.632)	Data 0.002 (0.015)	Loss 4.0832 (4.2700)	Top-1 acc 27.734 (23.842)	Top-5 acc 52.734 (46.977)	lr 0.00927
Warmup Train [29][1430/2134]	Time 0.682 (0.632)	Data 0.003 (0.015)	Loss 4.2989 (4.2701)	Top-1 acc 23.047 (23.844)	Top-5 acc 47.266 (46.980)	lr 0.00926
Warmup Train [29][1440/2134]	Time 0.716 (0.632)	Data 0.002 (0.015)	Loss 4.3460 (4.2701)	Top-1 acc 22.266 (23.840)	Top-5 acc 45.703 (46.978)	lr 0.00926
Warmup Train [29][1450/2134]	Time 0.615 (0.632)	Data 0.002 (0.015)	Loss 4.2386 (4.2699)	Top-1 acc 25.000 (23.848)	Top-5 acc 48.047 (46.985)	lr 0.00925
Warmup Train [29][1460/2134]	Time 0.601 (0.632)	Data 0.002 (0.015)	Loss 4.3227 (4.2697)	Top-1 acc 23.047 (23.848)	Top-5 acc 48.828 (46.993)	lr 0.00924
Warmup Train [29][1470/2134]	Time 0.430 (0.632)	Data 0.002 (0.015)	Loss 4.1362 (4.2695)	Top-1 acc 27.734 (23.850)	Top-5 acc 52.344 (47.000)	lr 0.00923
Warmup Train [29][1480/2134]	Time 0.633 (0.632)	Data 0.003 (0.015)	Loss 4.2864 (4.2693)	Top-1 acc 26.562 (23.854)	Top-5 acc 49.219 (47.005)	lr 0.00923
Warmup Train [29][1490/2134]	Time 0.729 (0.632)	Data 0.004 (0.015)	Loss 4.3039 (4.2696)	Top-1 acc 26.172 (23.848)	Top-5 acc 46.484 (46.997)	lr 0.00922
Warmup Train [29][1500/2134]	Time 0.721 (0.631)	Data 0.003 (0.015)	Loss 4.3323 (4.2697)	Top-1 acc 21.484 (23.845)	Top-5 acc 45.312 (46.996)	lr 0.00921
Warmup Train [29][1510/2134]	Time 0.670 (0.631)	Data 0.003 (0.015)	Loss 4.5312 (4.2703)	Top-1 acc 18.359 (23.835)	Top-5 acc 39.844 (46.982)	lr 0.00921
Warmup Train [29][1520/2134]	Time 0.470 (0.633)	Data 0.002 (0.015)	Loss 4.0922 (4.2701)	Top-1 acc 27.344 (23.841)	Top-5 acc 48.438 (46.984)	lr 0.00920
Warmup Train [29][1530/2134]	Time 0.653 (0.633)	Data 0.003 (0.015)	Loss 4.1832 (4.2701)	Top-1 acc 25.781 (23.843)	Top-5 acc 48.047 (46.977)	lr 0.00919
Warmup Train [29][1540/2134]	Time 0.631 (0.633)	Data 0.002 (0.015)	Loss 4.3443 (4.2698)	Top-1 acc 22.266 (23.845)	Top-5 acc 44.922 (46.982)	lr 0.00918
Warmup Train [29][1550/2134]	Time 0.644 (0.632)	Data 0.002 (0.015)	Loss 4.0099 (4.2697)	Top-1 acc 24.609 (23.844)	Top-5 acc 54.297 (46.990)	lr 0.00918
Warmup Train [29][1560/2134]	Time 0.467 (0.632)	Data 0.024 (0.015)	Loss 4.3031 (4.2699)	Top-1 acc 25.781 (23.841)	Top-5 acc 49.609 (46.984)	lr 0.00917
Warmup Train [29][1570/2134]	Time 0.430 (0.632)	Data 0.002 (0.015)	Loss 4.3029 (4.2705)	Top-1 acc 24.219 (23.824)	Top-5 acc 47.266 (46.969)	lr 0.00916
Warmup Train [29][1580/2134]	Time 0.528 (0.632)	Data 0.002 (0.015)	Loss 4.2570 (4.2705)	Top-1 acc 22.656 (23.822)	Top-5 acc 46.875 (46.968)	lr 0.00916
Warmup Train [29][1590/2134]	Time 0.827 (0.632)	Data 0.002 (0.015)	Loss 4.2465 (4.2704)	Top-1 acc 24.609 (23.826)	Top-5 acc 50.391 (46.976)	lr 0.00915
Warmup Train [29][1600/2134]	Time 0.757 (0.632)	Data 0.002 (0.014)	Loss 4.3950 (4.2704)	Top-1 acc 23.047 (23.826)	Top-5 acc 42.188 (46.972)	lr 0.00914
Warmup Train [29][1610/2134]	Time 0.585 (0.631)	Data 0.004 (0.014)	Loss 4.4832 (4.2707)	Top-1 acc 19.141 (23.814)	Top-5 acc 42.969 (46.961)	lr 0.00913
Warmup Train [29][1620/2134]	Time 0.477 (0.631)	Data 0.002 (0.014)	Loss 4.2166 (4.2709)	Top-1 acc 24.219 (23.807)	Top-5 acc 48.828 (46.963)	lr 0.00913
Warmup Train [29][1630/2134]	Time 0.666 (0.631)	Data 0.003 (0.014)	Loss 4.4233 (4.2711)	Top-1 acc 22.656 (23.809)	Top-5 acc 45.312 (46.959)	lr 0.00912
Warmup Train [29][1640/2134]	Time 0.674 (0.631)	Data 0.002 (0.014)	Loss 4.2424 (4.2712)	Top-1 acc 22.266 (23.802)	Top-5 acc 45.312 (46.950)	lr 0.00911
Warmup Train [29][1650/2134]	Time 0.625 (0.631)	Data 0.002 (0.014)	Loss 4.3972 (4.2712)	Top-1 acc 21.875 (23.804)	Top-5 acc 44.531 (46.954)	lr 0.00911
Warmup Train [29][1660/2134]	Time 0.655 (0.631)	Data 0.002 (0.014)	Loss 4.3622 (4.2714)	Top-1 acc 20.703 (23.792)	Top-5 acc 46.094 (46.947)	lr 0.00910
Warmup Train [29][1670/2134]	Time 0.676 (0.631)	Data 0.002 (0.014)	Loss 4.2842 (4.2715)	Top-1 acc 21.875 (23.792)	Top-5 acc 49.219 (46.947)	lr 0.00909
Warmup Train [29][1680/2134]	Time 0.609 (0.631)	Data 0.002 (0.014)	Loss 4.2275 (4.2717)	Top-1 acc 23.438 (23.790)	Top-5 acc 46.875 (46.939)	lr 0.00908
Warmup Train [29][1690/2134]	Time 0.627 (0.631)	Data 0.002 (0.014)	Loss 4.2667 (4.2714)	Top-1 acc 25.781 (23.792)	Top-5 acc 45.312 (46.942)	lr 0.00908
Warmup Train [29][1700/2134]	Time 0.612 (0.631)	Data 0.002 (0.014)	Loss 4.3673 (4.2716)	Top-1 acc 21.094 (23.790)	Top-5 acc 44.141 (46.938)	lr 0.00907
Warmup Train [29][1710/2134]	Time 0.658 (0.631)	Data 0.002 (0.014)	Loss 4.0996 (4.2716)	Top-1 acc 28.906 (23.787)	Top-5 acc 50.391 (46.938)	lr 0.00906
Warmup Train [29][1720/2134]	Time 0.670 (0.630)	Data 0.002 (0.014)	Loss 4.1366 (4.2711)	Top-1 acc 24.219 (23.795)	Top-5 acc 53.906 (46.952)	lr 0.00906
Warmup Train [29][1730/2134]	Time 0.528 (0.630)	Data 0.002 (0.014)	Loss 4.3823 (4.2712)	Top-1 acc 22.656 (23.793)	Top-5 acc 42.969 (46.947)	lr 0.00905
Warmup Train [29][1740/2134]	Time 0.471 (0.630)	Data 0.002 (0.014)	Loss 4.3164 (4.2712)	Top-1 acc 20.312 (23.790)	Top-5 acc 45.703 (46.949)	lr 0.00904
Warmup Train [29][1750/2134]	Time 0.681 (0.630)	Data 0.002 (0.014)	Loss 4.1800 (4.2710)	Top-1 acc 29.688 (23.795)	Top-5 acc 51.562 (46.955)	lr 0.00903
Warmup Train [29][1760/2134]	Time 0.680 (0.630)	Data 0.002 (0.014)	Loss 4.1021 (4.2709)	Top-1 acc 27.734 (23.796)	Top-5 acc 53.125 (46.960)	lr 0.00903
Warmup Train [29][1770/2134]	Time 0.765 (0.630)	Data 0.002 (0.014)	Loss 4.2884 (4.2713)	Top-1 acc 24.219 (23.796)	Top-5 acc 49.219 (46.956)	lr 0.00902
Warmup Train [29][1780/2134]	Time 0.737 (0.630)	Data 0.002 (0.014)	Loss 4.2662 (4.2717)	Top-1 acc 24.609 (23.790)	Top-5 acc 48.438 (46.944)	lr 0.00901
Warmup Train [29][1790/2134]	Time 0.598 (0.631)	Data 0.002 (0.014)	Loss 4.1341 (4.2716)	Top-1 acc 26.562 (23.791)	Top-5 acc 53.516 (46.945)	lr 0.00901
Warmup Train [29][1800/2134]	Time 0.430 (0.631)	Data 0.002 (0.014)	Loss 4.1611 (4.2715)	Top-1 acc 25.000 (23.799)	Top-5 acc 47.266 (46.948)	lr 0.00900
Warmup Train [29][1810/2134]	Time 0.624 (0.631)	Data 0.002 (0.014)	Loss 4.2002 (4.2717)	Top-1 acc 23.047 (23.800)	Top-5 acc 42.969 (46.943)	lr 0.00899
Warmup Train [29][1820/2134]	Time 0.637 (0.631)	Data 0.002 (0.014)	Loss 4.1377 (4.2716)	Top-1 acc 24.609 (23.799)	Top-5 acc 50.000 (46.947)	lr 0.00899
Warmup Train [29][1830/2134]	Time 0.659 (0.631)	Data 0.002 (0.013)	Loss 4.4464 (4.2715)	Top-1 acc 16.016 (23.801)	Top-5 acc 42.969 (46.946)	lr 0.00898
Warmup Train [29][1840/2134]	Time 0.605 (0.631)	Data 0.002 (0.013)	Loss 4.3920 (4.2713)	Top-1 acc 21.875 (23.807)	Top-5 acc 43.750 (46.951)	lr 0.00897
Warmup Train [29][1850/2134]	Time 0.725 (0.631)	Data 0.002 (0.013)	Loss 4.1958 (4.2712)	Top-1 acc 28.125 (23.814)	Top-5 acc 48.047 (46.952)	lr 0.00896
Warmup Train [29][1860/2134]	Time 0.607 (0.631)	Data 0.002 (0.013)	Loss 4.2639 (4.2710)	Top-1 acc 24.609 (23.817)	Top-5 acc 43.359 (46.949)	lr 0.00896
Warmup Train [29][1870/2134]	Time 0.612 (0.631)	Data 0.002 (0.013)	Loss 4.2529 (4.2708)	Top-1 acc 25.391 (23.817)	Top-5 acc 46.875 (46.951)	lr 0.00895
Warmup Train [29][1880/2134]	Time 0.467 (0.631)	Data 0.002 (0.013)	Loss 4.3019 (4.2707)	Top-1 acc 22.266 (23.819)	Top-5 acc 44.922 (46.957)	lr 0.00894
Warmup Train [29][1890/2134]	Time 0.623 (0.630)	Data 0.002 (0.013)	Loss 4.3587 (4.2706)	Top-1 acc 19.531 (23.822)	Top-5 acc 48.438 (46.958)	lr 0.00894
Warmup Train [29][1900/2134]	Time 0.534 (0.630)	Data 0.002 (0.013)	Loss 4.4622 (4.2707)	Top-1 acc 18.750 (23.821)	Top-5 acc 39.062 (46.957)	lr 0.00893
Warmup Train [29][1910/2134]	Time 0.746 (0.630)	Data 0.004 (0.013)	Loss 4.2822 (4.2704)	Top-1 acc 26.172 (23.829)	Top-5 acc 48.828 (46.959)	lr 0.00892
Warmup Train [29][1920/2134]	Time 0.504 (0.630)	Data 0.002 (0.013)	Loss 4.3195 (4.2704)	Top-1 acc 19.531 (23.825)	Top-5 acc 44.141 (46.960)	lr 0.00891
Warmup Train [29][1930/2134]	Time 0.806 (0.630)	Data 0.002 (0.013)	Loss 4.1964 (4.2704)	Top-1 acc 23.438 (23.826)	Top-5 acc 48.047 (46.963)	lr 0.00891
Warmup Train [29][1940/2134]	Time 0.575 (0.630)	Data 0.002 (0.013)	Loss 4.3285 (4.2701)	Top-1 acc 21.875 (23.832)	Top-5 acc 40.234 (46.968)	lr 0.00890
Warmup Train [29][1950/2134]	Time 0.654 (0.630)	Data 0.002 (0.013)	Loss 4.1866 (4.2702)	Top-1 acc 25.781 (23.830)	Top-5 acc 48.047 (46.967)	lr 0.00889
Warmup Train [29][1960/2134]	Time 0.368 (0.629)	Data 0.002 (0.013)	Loss 4.0770 (4.2701)	Top-1 acc 27.344 (23.824)	Top-5 acc 52.734 (46.966)	lr 0.00889
Warmup Train [29][1970/2134]	Time 0.621 (0.629)	Data 0.002 (0.013)	Loss 4.2986 (4.2700)	Top-1 acc 25.391 (23.829)	Top-5 acc 46.875 (46.972)	lr 0.00888
Warmup Train [29][1980/2134]	Time 0.656 (0.629)	Data 0.002 (0.013)	Loss 4.1493 (4.2700)	Top-1 acc 25.391 (23.826)	Top-5 acc 49.219 (46.969)	lr 0.00887
Warmup Train [29][1990/2134]	Time 0.549 (0.629)	Data 0.002 (0.013)	Loss 4.2431 (4.2700)	Top-1 acc 23.438 (23.825)	Top-5 acc 48.047 (46.971)	lr 0.00887
Warmup Train [29][2000/2134]	Time 0.498 (0.629)	Data 0.002 (0.013)	Loss 4.1822 (4.2703)	Top-1 acc 29.688 (23.823)	Top-5 acc 52.734 (46.968)	lr 0.00886
Warmup Train [29][2010/2134]	Time 0.758 (0.629)	Data 0.002 (0.013)	Loss 4.3090 (4.2698)	Top-1 acc 23.828 (23.835)	Top-5 acc 43.750 (46.978)	lr 0.00885
Warmup Train [29][2020/2134]	Time 0.628 (0.629)	Data 0.003 (0.013)	Loss 4.1208 (4.2698)	Top-1 acc 26.562 (23.839)	Top-5 acc 50.781 (46.979)	lr 0.00884
Warmup Train [29][2030/2134]	Time 0.625 (0.629)	Data 0.002 (0.013)	Loss 4.2458 (4.2700)	Top-1 acc 23.047 (23.837)	Top-5 acc 49.219 (46.978)	lr 0.00884
Warmup Train [29][2040/2134]	Time 0.692 (0.629)	Data 0.002 (0.013)	Loss 4.3181 (4.2700)	Top-1 acc 21.875 (23.834)	Top-5 acc 45.703 (46.980)	lr 0.00883
Warmup Train [29][2050/2134]	Time 0.736 (0.629)	Data 0.002 (0.013)	Loss 4.1145 (4.2697)	Top-1 acc 26.953 (23.837)	Top-5 acc 48.438 (46.983)	lr 0.00882
Warmup Train [29][2060/2134]	Time 0.596 (0.630)	Data 0.002 (0.013)	Loss 4.2469 (4.2696)	Top-1 acc 23.828 (23.839)	Top-5 acc 50.000 (46.988)	lr 0.00882
Warmup Train [29][2070/2134]	Time 0.650 (0.630)	Data 0.002 (0.013)	Loss 4.2856 (4.2695)	Top-1 acc 21.875 (23.839)	Top-5 acc 48.828 (46.989)	lr 0.00881
Warmup Train [29][2080/2134]	Time 0.436 (0.630)	Data 0.000 (0.013)	Loss 4.2208 (4.2694)	Top-1 acc 23.047 (23.844)	Top-5 acc 48.047 (46.990)	lr 0.00880
Warmup Train [29][2090/2134]	Time 0.537 (0.629)	Data 0.000 (0.013)	Loss 4.2316 (4.2694)	Top-1 acc 26.562 (23.850)	Top-5 acc 48.828 (46.994)	lr 0.00880
Warmup Train [29][2100/2134]	Time 0.611 (0.629)	Data 0.000 (0.013)	Loss 4.0964 (4.2691)	Top-1 acc 23.828 (23.851)	Top-5 acc 50.781 (46.998)	lr 0.00879
Warmup Train [29][2110/2134]	Time 0.576 (0.629)	Data 0.000 (0.013)	Loss 4.4019 (4.2694)	Top-1 acc 19.922 (23.846)	Top-5 acc 47.266 (46.992)	lr 0.00878
Warmup Train [29][2120/2134]	Time 0.537 (0.629)	Data 0.000 (0.012)	Loss 4.2165 (4.2696)	Top-1 acc 25.781 (23.845)	Top-5 acc 47.266 (46.984)	lr 0.00877
Warmup Train [29][2130/2134]	Time 0.673 (0.629)	Data 0.000 (0.012)	Loss 4.2140 (4.2695)	Top-1 acc 26.562 (23.846)	Top-5 acc 49.609 (46.985)	lr 0.00877
Warmup Train [29][2134/2134]	Time 0.691 (0.628)	Data 0.000 (0.012)	Loss 4.3482 (4.2695)	Top-1 acc 26.738 (23.847)	Top-5 acc 45.455 (46.985)	lr 0.00876
==========Warmup Valid [29/40]	loss 3.284	top-1 acc 31.167	top-5 acc 56.523	Train top-1 23.847	top-5 46.985	flops: 442.4M
Warmup Train [30][0/2134]	Time 14.388 (14.388)	Data 12.216 (12.216)	Loss 4.1184 (4.1184)	Top-1 acc 26.953 (26.953)	Top-5 acc 51.562 (51.562)	lr 0.00876
Warmup Train [30][10/2134]	Time 0.551 (1.997)	Data 0.003 (1.114)	Loss 4.2715 (4.2692)	Top-1 acc 21.484 (24.680)	Top-5 acc 46.875 (46.697)	lr 0.00876
Warmup Train [30][20/2134]	Time 0.622 (1.356)	Data 0.002 (0.591)	Loss 4.3027 (4.2605)	Top-1 acc 23.828 (24.572)	Top-5 acc 44.531 (46.987)	lr 0.00875
Warmup Train [30][30/2134]	Time 0.521 (1.111)	Data 0.002 (0.401)	Loss 4.1973 (4.2598)	Top-1 acc 25.391 (24.420)	Top-5 acc 46.094 (46.888)	lr 0.00874
Warmup Train [30][40/2134]	Time 0.657 (0.993)	Data 0.003 (0.306)	Loss 4.0721 (4.2446)	Top-1 acc 28.125 (24.619)	Top-5 acc 51.953 (47.561)	lr 0.00874
Warmup Train [30][50/2134]	Time 0.617 (0.920)	Data 0.003 (0.249)	Loss 4.2638 (4.2420)	Top-1 acc 21.875 (24.517)	Top-5 acc 46.484 (47.572)	lr 0.00873
Warmup Train [30][60/2134]	Time 0.583 (0.869)	Data 0.002 (0.209)	Loss 4.3783 (4.2510)	Top-1 acc 19.922 (24.385)	Top-5 acc 42.578 (47.439)	lr 0.00872
Warmup Train [30][70/2134]	Time 0.534 (0.836)	Data 0.002 (0.182)	Loss 4.3814 (4.2564)	Top-1 acc 21.484 (24.213)	Top-5 acc 42.969 (47.392)	lr 0.00871
Warmup Train [30][80/2134]	Time 0.716 (0.805)	Data 0.002 (0.160)	Loss 4.1790 (4.2607)	Top-1 acc 25.000 (24.228)	Top-5 acc 48.828 (47.338)	lr 0.00871
Warmup Train [30][90/2134]	Time 0.569 (0.784)	Data 0.002 (0.144)	Loss 4.3569 (4.2571)	Top-1 acc 22.266 (24.249)	Top-5 acc 46.484 (47.510)	lr 0.00870
Warmup Train [30][100/2134]	Time 0.694 (0.767)	Data 0.003 (0.131)	Loss 4.3639 (4.2533)	Top-1 acc 23.438 (24.350)	Top-5 acc 46.094 (47.614)	lr 0.00869
Warmup Train [30][110/2134]	Time 0.600 (0.753)	Data 0.002 (0.119)	Loss 4.3010 (4.2555)	Top-1 acc 20.312 (24.356)	Top-5 acc 44.531 (47.611)	lr 0.00869
Warmup Train [30][120/2134]	Time 0.525 (0.741)	Data 0.003 (0.110)	Loss 4.3242 (4.2510)	Top-1 acc 21.875 (24.367)	Top-5 acc 44.922 (47.721)	lr 0.00868
Warmup Train [30][130/2134]	Time 0.548 (0.731)	Data 0.002 (0.102)	Loss 4.3507 (4.2489)	Top-1 acc 23.438 (24.371)	Top-5 acc 44.922 (47.770)	lr 0.00867
Warmup Train [30][140/2134]	Time 0.625 (0.725)	Data 0.002 (0.096)	Loss 4.1556 (4.2460)	Top-1 acc 23.438 (24.438)	Top-5 acc 47.266 (47.831)	lr 0.00867
Warmup Train [30][150/2134]	Time 0.518 (0.716)	Data 0.002 (0.090)	Loss 4.0628 (4.2487)	Top-1 acc 25.781 (24.410)	Top-5 acc 53.516 (47.736)	lr 0.00866
Warmup Train [30][160/2134]	Time 0.648 (0.712)	Data 0.002 (0.086)	Loss 4.3434 (4.2481)	Top-1 acc 27.734 (24.435)	Top-5 acc 48.828 (47.804)	lr 0.00865
Warmup Train [30][170/2134]	Time 0.736 (0.706)	Data 0.002 (0.081)	Loss 4.3519 (4.2477)	Top-1 acc 24.609 (24.513)	Top-5 acc 42.578 (47.768)	lr 0.00865
Warmup Train [30][180/2134]	Time 0.417 (0.719)	Data 0.002 (0.077)	Loss 4.2009 (4.2491)	Top-1 acc 27.344 (24.471)	Top-5 acc 48.828 (47.667)	lr 0.00864
Warmup Train [30][190/2134]	Time 0.682 (0.714)	Data 0.002 (0.073)	Loss 4.2149 (4.2480)	Top-1 acc 22.266 (24.470)	Top-5 acc 48.438 (47.671)	lr 0.00863
Warmup Train [30][200/2134]	Time 0.556 (0.710)	Data 0.002 (0.070)	Loss 4.3289 (4.2475)	Top-1 acc 19.922 (24.469)	Top-5 acc 46.094 (47.650)	lr 0.00862
Warmup Train [30][210/2134]	Time 0.537 (0.705)	Data 0.003 (0.067)	Loss 4.4067 (4.2495)	Top-1 acc 20.703 (24.428)	Top-5 acc 43.750 (47.593)	lr 0.00862
Warmup Train [30][220/2134]	Time 0.698 (0.702)	Data 0.002 (0.064)	Loss 4.0938 (4.2487)	Top-1 acc 25.000 (24.461)	Top-5 acc 50.391 (47.582)	lr 0.00861
Warmup Train [30][230/2134]	Time 0.633 (0.697)	Data 0.003 (0.062)	Loss 4.2249 (4.2493)	Top-1 acc 22.656 (24.415)	Top-5 acc 47.656 (47.536)	lr 0.00860
Warmup Train [30][240/2134]	Time 0.610 (0.693)	Data 0.002 (0.059)	Loss 4.0388 (4.2499)	Top-1 acc 25.781 (24.394)	Top-5 acc 51.953 (47.480)	lr 0.00860
Warmup Train [30][250/2134]	Time 0.610 (0.691)	Data 0.002 (0.057)	Loss 4.3580 (4.2470)	Top-1 acc 20.703 (24.430)	Top-5 acc 48.047 (47.532)	lr 0.00859
Warmup Train [30][260/2134]	Time 0.561 (0.686)	Data 0.002 (0.055)	Loss 4.0438 (4.2464)	Top-1 acc 27.344 (24.410)	Top-5 acc 49.219 (47.513)	lr 0.00858
Warmup Train [30][270/2134]	Time 0.664 (0.684)	Data 0.002 (0.054)	Loss 4.3866 (4.2473)	Top-1 acc 21.484 (24.387)	Top-5 acc 43.359 (47.515)	lr 0.00858
Warmup Train [30][280/2134]	Time 0.529 (0.680)	Data 0.002 (0.052)	Loss 4.3801 (4.2493)	Top-1 acc 20.312 (24.342)	Top-5 acc 42.578 (47.520)	lr 0.00857
Warmup Train [30][290/2134]	Time 0.706 (0.678)	Data 0.005 (0.051)	Loss 4.2883 (4.2492)	Top-1 acc 25.781 (24.302)	Top-5 acc 46.875 (47.503)	lr 0.00856
Warmup Train [30][300/2134]	Time 0.545 (0.677)	Data 0.002 (0.049)	Loss 4.1963 (4.2487)	Top-1 acc 25.391 (24.294)	Top-5 acc 49.219 (47.473)	lr 0.00855
Warmup Train [30][310/2134]	Time 0.697 (0.675)	Data 0.002 (0.048)	Loss 4.2227 (4.2479)	Top-1 acc 25.391 (24.299)	Top-5 acc 44.141 (47.489)	lr 0.00855
Warmup Train [30][320/2134]	Time 0.650 (0.672)	Data 0.002 (0.047)	Loss 4.1469 (4.2487)	Top-1 acc 26.172 (24.289)	Top-5 acc 48.438 (47.520)	lr 0.00854
Warmup Train [30][330/2134]	Time 0.401 (0.671)	Data 0.002 (0.045)	Loss 4.1303 (4.2482)	Top-1 acc 26.562 (24.324)	Top-5 acc 47.266 (47.536)	lr 0.00853
Warmup Train [30][340/2134]	Time 0.513 (0.670)	Data 0.002 (0.045)	Loss 4.2403 (4.2480)	Top-1 acc 21.094 (24.353)	Top-5 acc 45.312 (47.539)	lr 0.00853
Warmup Train [30][350/2134]	Time 0.610 (0.669)	Data 0.002 (0.044)	Loss 4.5182 (4.2487)	Top-1 acc 19.531 (24.351)	Top-5 acc 44.531 (47.530)	lr 0.00852
Warmup Train [30][360/2134]	Time 0.610 (0.667)	Data 0.002 (0.042)	Loss 4.2456 (4.2488)	Top-1 acc 22.266 (24.351)	Top-5 acc 47.656 (47.534)	lr 0.00851
Warmup Train [30][370/2134]	Time 0.527 (0.665)	Data 0.002 (0.041)	Loss 4.4471 (4.2505)	Top-1 acc 22.656 (24.329)	Top-5 acc 41.016 (47.489)	lr 0.00851
Warmup Train [30][380/2134]	Time 0.460 (0.664)	Data 0.002 (0.041)	Loss 4.4093 (4.2510)	Top-1 acc 21.875 (24.327)	Top-5 acc 42.969 (47.476)	lr 0.00850
Warmup Train [30][390/2134]	Time 0.617 (0.663)	Data 0.002 (0.040)	Loss 4.3672 (4.2518)	Top-1 acc 22.656 (24.325)	Top-5 acc 42.578 (47.458)	lr 0.00849
Warmup Train [30][400/2134]	Time 0.604 (0.661)	Data 0.003 (0.039)	Loss 4.2044 (4.2526)	Top-1 acc 26.172 (24.304)	Top-5 acc 50.781 (47.428)	lr 0.00849
Warmup Train [30][410/2134]	Time 0.435 (0.660)	Data 0.002 (0.039)	Loss 4.2514 (4.2523)	Top-1 acc 28.125 (24.316)	Top-5 acc 42.969 (47.438)	lr 0.00848
Warmup Train [30][420/2134]	Time 0.696 (0.659)	Data 0.003 (0.038)	Loss 4.1610 (4.2506)	Top-1 acc 26.953 (24.347)	Top-5 acc 50.391 (47.480)	lr 0.00847
Warmup Train [30][430/2134]	Time 0.635 (0.658)	Data 0.002 (0.037)	Loss 4.3171 (4.2527)	Top-1 acc 24.609 (24.306)	Top-5 acc 45.312 (47.404)	lr 0.00847
Warmup Train [30][440/2134]	Time 0.518 (0.657)	Data 0.002 (0.036)	Loss 4.3249 (4.2523)	Top-1 acc 27.344 (24.316)	Top-5 acc 46.094 (47.377)	lr 0.00846
Warmup Train [30][450/2134]	Time 0.624 (0.662)	Data 0.002 (0.036)	Loss 4.1389 (4.2524)	Top-1 acc 28.516 (24.328)	Top-5 acc 53.516 (47.402)	lr 0.00845
Warmup Train [30][460/2134]	Time 0.605 (0.661)	Data 0.002 (0.035)	Loss 4.2684 (4.2532)	Top-1 acc 26.172 (24.317)	Top-5 acc 49.219 (47.392)	lr 0.00844
Warmup Train [30][470/2134]	Time 0.614 (0.659)	Data 0.002 (0.034)	Loss 4.1963 (4.2524)	Top-1 acc 26.172 (24.315)	Top-5 acc 46.094 (47.417)	lr 0.00844
Warmup Train [30][480/2134]	Time 0.667 (0.659)	Data 0.002 (0.034)	Loss 4.0199 (4.2516)	Top-1 acc 30.078 (24.324)	Top-5 acc 53.125 (47.424)	lr 0.00843
Warmup Train [30][490/2134]	Time 0.556 (0.658)	Data 0.002 (0.033)	Loss 4.1892 (4.2514)	Top-1 acc 28.125 (24.304)	Top-5 acc 47.266 (47.437)	lr 0.00842
Warmup Train [30][500/2134]	Time 0.677 (0.657)	Data 0.002 (0.033)	Loss 4.4182 (4.2509)	Top-1 acc 23.047 (24.324)	Top-5 acc 42.969 (47.424)	lr 0.00842
Warmup Train [30][510/2134]	Time 0.670 (0.656)	Data 0.002 (0.032)	Loss 4.1540 (4.2508)	Top-1 acc 28.125 (24.339)	Top-5 acc 50.781 (47.435)	lr 0.00841
Warmup Train [30][520/2134]	Time 0.441 (0.654)	Data 0.002 (0.032)	Loss 4.2147 (4.2515)	Top-1 acc 23.828 (24.315)	Top-5 acc 45.703 (47.383)	lr 0.00840
Warmup Train [30][530/2134]	Time 0.666 (0.654)	Data 0.003 (0.031)	Loss 4.1032 (4.2521)	Top-1 acc 26.953 (24.288)	Top-5 acc 50.391 (47.375)	lr 0.00840
Warmup Train [30][540/2134]	Time 0.671 (0.653)	Data 0.002 (0.031)	Loss 4.2870 (4.2515)	Top-1 acc 25.000 (24.287)	Top-5 acc 48.047 (47.394)	lr 0.00839
Warmup Train [30][550/2134]	Time 0.580 (0.652)	Data 0.002 (0.030)	Loss 4.1730 (4.2512)	Top-1 acc 28.906 (24.292)	Top-5 acc 49.609 (47.388)	lr 0.00838
Warmup Train [30][560/2134]	Time 0.432 (0.651)	Data 0.002 (0.030)	Loss 4.5348 (4.2517)	Top-1 acc 18.359 (24.277)	Top-5 acc 37.891 (47.372)	lr 0.00838
Warmup Train [30][570/2134]	Time 0.557 (0.651)	Data 0.002 (0.030)	Loss 4.4849 (4.2531)	Top-1 acc 23.438 (24.282)	Top-5 acc 44.922 (47.335)	lr 0.00837
Warmup Train [30][580/2134]	Time 0.524 (0.650)	Data 0.003 (0.029)	Loss 4.1283 (4.2519)	Top-1 acc 28.125 (24.299)	Top-5 acc 48.438 (47.360)	lr 0.00836
Warmup Train [30][590/2134]	Time 0.725 (0.650)	Data 0.002 (0.029)	Loss 4.1586 (4.2521)	Top-1 acc 26.172 (24.295)	Top-5 acc 48.828 (47.361)	lr 0.00836
Warmup Train [30][600/2134]	Time 0.756 (0.650)	Data 0.002 (0.029)	Loss 4.3230 (4.2519)	Top-1 acc 22.656 (24.293)	Top-5 acc 44.141 (47.369)	lr 0.00835
Warmup Train [30][610/2134]	Time 0.450 (0.649)	Data 0.002 (0.028)	Loss 4.2895 (4.2526)	Top-1 acc 25.781 (24.267)	Top-5 acc 47.656 (47.349)	lr 0.00834
Warmup Train [30][620/2134]	Time 0.688 (0.648)	Data 0.002 (0.028)	Loss 4.2937 (4.2529)	Top-1 acc 23.828 (24.255)	Top-5 acc 46.875 (47.346)	lr 0.00833
Warmup Train [30][630/2134]	Time 0.826 (0.647)	Data 0.002 (0.028)	Loss 4.3895 (4.2519)	Top-1 acc 23.828 (24.272)	Top-5 acc 48.828 (47.366)	lr 0.00833
Warmup Train [30][640/2134]	Time 0.558 (0.646)	Data 0.002 (0.027)	Loss 3.9826 (4.2512)	Top-1 acc 32.422 (24.308)	Top-5 acc 53.516 (47.377)	lr 0.00832
Warmup Train [30][650/2134]	Time 0.591 (0.646)	Data 0.002 (0.027)	Loss 4.1766 (4.2513)	Top-1 acc 26.953 (24.311)	Top-5 acc 50.781 (47.378)	lr 0.00831
Warmup Train [30][660/2134]	Time 0.558 (0.645)	Data 0.003 (0.027)	Loss 4.3952 (4.2515)	Top-1 acc 21.484 (24.306)	Top-5 acc 46.484 (47.367)	lr 0.00831
Warmup Train [30][670/2134]	Time 0.482 (0.644)	Data 0.002 (0.026)	Loss 4.2734 (4.2513)	Top-1 acc 25.000 (24.323)	Top-5 acc 46.484 (47.370)	lr 0.00830
Warmup Train [30][680/2134]	Time 0.529 (0.644)	Data 0.002 (0.026)	Loss 4.1722 (4.2499)	Top-1 acc 25.000 (24.340)	Top-5 acc 51.562 (47.408)	lr 0.00829
Warmup Train [30][690/2134]	Time 0.780 (0.644)	Data 0.004 (0.026)	Loss 4.1667 (4.2495)	Top-1 acc 26.172 (24.357)	Top-5 acc 50.781 (47.431)	lr 0.00829
Warmup Train [30][700/2134]	Time 0.643 (0.643)	Data 0.002 (0.026)	Loss 4.4042 (4.2499)	Top-1 acc 21.484 (24.341)	Top-5 acc 43.750 (47.424)	lr 0.00828
Warmup Train [30][710/2134]	Time 0.597 (0.643)	Data 0.002 (0.025)	Loss 4.3005 (4.2500)	Top-1 acc 21.484 (24.322)	Top-5 acc 44.922 (47.423)	lr 0.00827
Warmup Train [30][720/2134]	Time 0.697 (0.643)	Data 0.002 (0.025)	Loss 4.2273 (4.2504)	Top-1 acc 24.609 (24.297)	Top-5 acc 46.484 (47.419)	lr 0.00827
Warmup Train [30][730/2134]	Time 0.674 (0.643)	Data 0.002 (0.025)	Loss 4.3574 (4.2503)	Top-1 acc 22.656 (24.302)	Top-5 acc 45.703 (47.425)	lr 0.00826
Warmup Train [30][740/2134]	Time 0.673 (0.646)	Data 0.002 (0.024)	Loss 4.3452 (4.2508)	Top-1 acc 21.875 (24.288)	Top-5 acc 46.094 (47.427)	lr 0.00825
Warmup Train [30][750/2134]	Time 0.537 (0.645)	Data 0.002 (0.024)	Loss 4.2011 (4.2509)	Top-1 acc 22.656 (24.286)	Top-5 acc 49.219 (47.417)	lr 0.00825
Warmup Train [30][760/2134]	Time 0.674 (0.645)	Data 0.003 (0.024)	Loss 4.2618 (4.2508)	Top-1 acc 22.656 (24.274)	Top-5 acc 46.484 (47.419)	lr 0.00824
Warmup Train [30][770/2134]	Time 0.625 (0.644)	Data 0.002 (0.024)	Loss 4.1140 (4.2499)	Top-1 acc 25.000 (24.283)	Top-5 acc 51.562 (47.440)	lr 0.00823
Warmup Train [30][780/2134]	Time 0.624 (0.644)	Data 0.002 (0.023)	Loss 4.2716 (4.2496)	Top-1 acc 20.312 (24.278)	Top-5 acc 46.875 (47.455)	lr 0.00823
Warmup Train [30][790/2134]	Time 0.690 (0.644)	Data 0.002 (0.023)	Loss 4.0461 (4.2497)	Top-1 acc 25.000 (24.279)	Top-5 acc 51.562 (47.460)	lr 0.00822
Warmup Train [30][800/2134]	Time 0.449 (0.643)	Data 0.002 (0.023)	Loss 4.2314 (4.2497)	Top-1 acc 26.953 (24.287)	Top-5 acc 48.047 (47.462)	lr 0.00821
Warmup Train [30][810/2134]	Time 0.725 (0.643)	Data 0.002 (0.023)	Loss 4.2004 (4.2500)	Top-1 acc 26.562 (24.288)	Top-5 acc 46.875 (47.446)	lr 0.00820
Warmup Train [30][820/2134]	Time 0.544 (0.642)	Data 0.002 (0.023)	Loss 4.1673 (4.2498)	Top-1 acc 31.641 (24.302)	Top-5 acc 50.391 (47.468)	lr 0.00820
Warmup Train [30][830/2134]	Time 0.653 (0.642)	Data 0.002 (0.023)	Loss 4.2389 (4.2493)	Top-1 acc 22.656 (24.316)	Top-5 acc 46.094 (47.473)	lr 0.00819
Warmup Train [30][840/2134]	Time 0.749 (0.642)	Data 0.002 (0.022)	Loss 4.1726 (4.2489)	Top-1 acc 25.781 (24.317)	Top-5 acc 46.094 (47.467)	lr 0.00818
Warmup Train [30][850/2134]	Time 0.546 (0.641)	Data 0.002 (0.022)	Loss 4.1956 (4.2486)	Top-1 acc 25.391 (24.318)	Top-5 acc 50.391 (47.477)	lr 0.00818
Warmup Train [30][860/2134]	Time 0.596 (0.641)	Data 0.002 (0.022)	Loss 4.1413 (4.2485)	Top-1 acc 27.734 (24.325)	Top-5 acc 53.516 (47.497)	lr 0.00817
Warmup Train [30][870/2134]	Time 0.749 (0.641)	Data 0.002 (0.022)	Loss 4.3108 (4.2483)	Top-1 acc 25.391 (24.336)	Top-5 acc 44.531 (47.499)	lr 0.00816
Warmup Train [30][880/2134]	Time 0.626 (0.640)	Data 0.003 (0.022)	Loss 4.4420 (4.2481)	Top-1 acc 19.531 (24.333)	Top-5 acc 42.969 (47.498)	lr 0.00816
Warmup Train [30][890/2134]	Time 0.526 (0.640)	Data 0.002 (0.021)	Loss 4.1918 (4.2481)	Top-1 acc 23.828 (24.351)	Top-5 acc 47.266 (47.496)	lr 0.00815
Warmup Train [30][900/2134]	Time 0.604 (0.640)	Data 0.002 (0.021)	Loss 4.2495 (4.2484)	Top-1 acc 26.562 (24.345)	Top-5 acc 48.047 (47.494)	lr 0.00814
Warmup Train [30][910/2134]	Time 0.587 (0.639)	Data 0.002 (0.021)	Loss 4.1605 (4.2481)	Top-1 acc 30.078 (24.366)	Top-5 acc 53.516 (47.509)	lr 0.00814
Warmup Train [30][920/2134]	Time 0.552 (0.639)	Data 0.005 (0.021)	Loss 4.1113 (4.2484)	Top-1 acc 23.828 (24.361)	Top-5 acc 52.344 (47.517)	lr 0.00813
Warmup Train [30][930/2134]	Time 0.583 (0.639)	Data 0.004 (0.021)	Loss 4.2869 (4.2486)	Top-1 acc 25.000 (24.353)	Top-5 acc 44.531 (47.503)	lr 0.00812
Warmup Train [30][940/2134]	Time 0.598 (0.639)	Data 0.002 (0.021)	Loss 4.2686 (4.2489)	Top-1 acc 23.047 (24.340)	Top-5 acc 49.219 (47.496)	lr 0.00812
Warmup Train [30][950/2134]	Time 0.519 (0.638)	Data 0.002 (0.021)	Loss 4.2664 (4.2492)	Top-1 acc 26.172 (24.337)	Top-5 acc 45.312 (47.485)	lr 0.00811
Warmup Train [30][960/2134]	Time 0.702 (0.638)	Data 0.002 (0.021)	Loss 4.2052 (4.2495)	Top-1 acc 26.172 (24.331)	Top-5 acc 48.047 (47.476)	lr 0.00810
Warmup Train [30][970/2134]	Time 0.618 (0.638)	Data 0.002 (0.020)	Loss 4.2862 (4.2490)	Top-1 acc 22.266 (24.342)	Top-5 acc 46.875 (47.486)	lr 0.00810
Warmup Train [30][980/2134]	Time 0.670 (0.638)	Data 0.002 (0.020)	Loss 4.4671 (4.2493)	Top-1 acc 18.359 (24.328)	Top-5 acc 41.406 (47.475)	lr 0.00809
Warmup Train [30][990/2134]	Time 0.714 (0.637)	Data 0.002 (0.020)	Loss 4.2946 (4.2500)	Top-1 acc 23.438 (24.299)	Top-5 acc 45.312 (47.460)	lr 0.00808
Warmup Train [30][1000/2134]	Time 0.612 (0.637)	Data 0.002 (0.020)	Loss 4.2099 (4.2496)	Top-1 acc 24.219 (24.307)	Top-5 acc 48.828 (47.471)	lr 0.00808
Warmup Train [30][1010/2134]	Time 0.605 (0.637)	Data 0.002 (0.020)	Loss 4.1220 (4.2494)	Top-1 acc 25.781 (24.310)	Top-5 acc 51.562 (47.471)	lr 0.00807
Warmup Train [30][1020/2134]	Time 0.579 (0.639)	Data 0.002 (0.020)	Loss 4.2534 (4.2493)	Top-1 acc 23.438 (24.310)	Top-5 acc 44.141 (47.469)	lr 0.00806
Warmup Train [30][1030/2134]	Time 0.563 (0.639)	Data 0.002 (0.019)	Loss 4.3113 (4.2496)	Top-1 acc 22.656 (24.308)	Top-5 acc 42.969 (47.459)	lr 0.00806
Warmup Train [30][1040/2134]	Time 0.619 (0.639)	Data 0.002 (0.019)	Loss 4.3521 (4.2500)	Top-1 acc 19.141 (24.305)	Top-5 acc 45.312 (47.453)	lr 0.00805
Warmup Train [30][1050/2134]	Time 0.633 (0.638)	Data 0.002 (0.019)	Loss 4.3339 (4.2504)	Top-1 acc 20.312 (24.298)	Top-5 acc 44.922 (47.439)	lr 0.00804
Warmup Train [30][1060/2134]	Time 0.601 (0.638)	Data 0.004 (0.019)	Loss 4.3761 (4.2503)	Top-1 acc 18.359 (24.308)	Top-5 acc 44.922 (47.442)	lr 0.00804
Warmup Train [30][1070/2134]	Time 0.528 (0.638)	Data 0.002 (0.019)	Loss 4.3004 (4.2501)	Top-1 acc 18.750 (24.317)	Top-5 acc 46.094 (47.454)	lr 0.00803
Warmup Train [30][1080/2134]	Time 0.804 (0.638)	Data 0.002 (0.019)	Loss 4.3035 (4.2504)	Top-1 acc 23.438 (24.315)	Top-5 acc 45.312 (47.447)	lr 0.00802
Warmup Train [30][1090/2134]	Time 0.614 (0.638)	Data 0.002 (0.019)	Loss 4.2037 (4.2507)	Top-1 acc 23.047 (24.310)	Top-5 acc 47.656 (47.441)	lr 0.00801
Warmup Train [30][1100/2134]	Time 0.489 (0.637)	Data 0.002 (0.019)	Loss 4.2410 (4.2511)	Top-1 acc 21.875 (24.296)	Top-5 acc 50.000 (47.441)	lr 0.00801
Warmup Train [30][1110/2134]	Time 0.697 (0.637)	Data 0.002 (0.019)	Loss 4.0978 (4.2506)	Top-1 acc 29.297 (24.307)	Top-5 acc 52.344 (47.453)	lr 0.00800
Warmup Train [30][1120/2134]	Time 0.686 (0.637)	Data 0.002 (0.018)	Loss 4.0546 (4.2505)	Top-1 acc 27.734 (24.311)	Top-5 acc 50.781 (47.453)	lr 0.00799
Warmup Train [30][1130/2134]	Time 0.738 (0.637)	Data 0.003 (0.018)	Loss 4.2959 (4.2511)	Top-1 acc 22.266 (24.303)	Top-5 acc 43.750 (47.439)	lr 0.00799
Warmup Train [30][1140/2134]	Time 0.551 (0.636)	Data 0.002 (0.018)	Loss 4.2043 (4.2511)	Top-1 acc 27.734 (24.306)	Top-5 acc 47.656 (47.441)	lr 0.00798
Warmup Train [30][1150/2134]	Time 0.433 (0.636)	Data 0.002 (0.018)	Loss 4.1412 (4.2516)	Top-1 acc 21.484 (24.292)	Top-5 acc 47.656 (47.439)	lr 0.00797
Warmup Train [30][1160/2134]	Time 0.537 (0.636)	Data 0.002 (0.018)	Loss 4.1623 (4.2507)	Top-1 acc 23.828 (24.311)	Top-5 acc 47.266 (47.456)	lr 0.00797
Warmup Train [30][1170/2134]	Time 0.618 (0.636)	Data 0.002 (0.018)	Loss 4.2380 (4.2508)	Top-1 acc 25.000 (24.305)	Top-5 acc 47.656 (47.455)	lr 0.00796
Warmup Train [30][1180/2134]	Time 0.588 (0.635)	Data 0.004 (0.018)	Loss 4.1559 (4.2509)	Top-1 acc 22.656 (24.305)	Top-5 acc 49.219 (47.459)	lr 0.00795
Warmup Train [30][1190/2134]	Time 0.734 (0.635)	Data 0.002 (0.018)	Loss 4.1697 (4.2507)	Top-1 acc 28.906 (24.311)	Top-5 acc 50.781 (47.465)	lr 0.00795
Warmup Train [30][1200/2134]	Time 0.446 (0.635)	Data 0.002 (0.018)	Loss 4.1172 (4.2505)	Top-1 acc 25.391 (24.305)	Top-5 acc 53.906 (47.473)	lr 0.00794
Warmup Train [30][1210/2134]	Time 0.650 (0.634)	Data 0.002 (0.018)	Loss 4.2611 (4.2505)	Top-1 acc 26.172 (24.302)	Top-5 acc 47.266 (47.469)	lr 0.00793
Warmup Train [30][1220/2134]	Time 0.672 (0.634)	Data 0.002 (0.018)	Loss 4.1086 (4.2505)	Top-1 acc 26.172 (24.305)	Top-5 acc 50.781 (47.474)	lr 0.00793
Warmup Train [30][1230/2134]	Time 0.550 (0.634)	Data 0.002 (0.017)	Loss 4.1195 (4.2502)	Top-1 acc 26.562 (24.316)	Top-5 acc 48.438 (47.478)	lr 0.00792
Warmup Train [30][1240/2134]	Time 0.659 (0.634)	Data 0.002 (0.018)	Loss 4.0440 (4.2498)	Top-1 acc 27.344 (24.323)	Top-5 acc 52.344 (47.489)	lr 0.00791
Warmup Train [30][1250/2134]	Time 0.535 (0.634)	Data 0.002 (0.017)	Loss 4.2668 (4.2496)	Top-1 acc 25.391 (24.330)	Top-5 acc 44.141 (47.492)	lr 0.00791
Warmup Train [30][1260/2134]	Time 0.621 (0.633)	Data 0.002 (0.017)	Loss 4.4762 (4.2502)	Top-1 acc 17.578 (24.316)	Top-5 acc 44.531 (47.486)	lr 0.00790
Warmup Train [30][1270/2134]	Time 0.405 (0.633)	Data 0.002 (0.017)	Loss 4.2125 (4.2499)	Top-1 acc 21.484 (24.318)	Top-5 acc 48.438 (47.491)	lr 0.00789
Warmup Train [30][1280/2134]	Time 0.487 (0.633)	Data 0.002 (0.017)	Loss 4.2700 (4.2497)	Top-1 acc 25.781 (24.328)	Top-5 acc 43.750 (47.492)	lr 0.00789
Warmup Train [30][1290/2134]	Time 0.753 (0.633)	Data 0.002 (0.017)	Loss 4.1922 (4.2494)	Top-1 acc 29.688 (24.330)	Top-5 acc 49.609 (47.500)	lr 0.00788
Warmup Train [30][1300/2134]	Time 0.698 (0.632)	Data 0.023 (0.017)	Loss 4.2529 (4.2490)	Top-1 acc 25.781 (24.335)	Top-5 acc 47.266 (47.511)	lr 0.00787
Warmup Train [30][1310/2134]	Time 0.747 (0.634)	Data 0.002 (0.017)	Loss 4.3583 (4.2490)	Top-1 acc 19.141 (24.339)	Top-5 acc 46.094 (47.519)	lr 0.00787
Warmup Train [30][1320/2134]	Time 0.459 (0.634)	Data 0.003 (0.017)	Loss 4.3385 (4.2491)	Top-1 acc 21.484 (24.342)	Top-5 acc 44.922 (47.513)	lr 0.00786
Warmup Train [30][1330/2134]	Time 0.725 (0.634)	Data 0.002 (0.017)	Loss 4.1462 (4.2492)	Top-1 acc 30.078 (24.341)	Top-5 acc 51.953 (47.507)	lr 0.00785
Warmup Train [30][1340/2134]	Time 0.555 (0.634)	Data 0.002 (0.017)	Loss 4.2329 (4.2495)	Top-1 acc 27.344 (24.338)	Top-5 acc 48.438 (47.495)	lr 0.00785
Warmup Train [30][1350/2134]	Time 0.413 (0.634)	Data 0.002 (0.017)	Loss 4.3495 (4.2492)	Top-1 acc 17.969 (24.337)	Top-5 acc 41.797 (47.500)	lr 0.00784
Warmup Train [30][1360/2134]	Time 0.359 (0.633)	Data 0.003 (0.017)	Loss 4.2397 (4.2493)	Top-1 acc 22.656 (24.331)	Top-5 acc 44.531 (47.492)	lr 0.00783
Warmup Train [30][1370/2134]	Time 0.496 (0.633)	Data 0.002 (0.017)	Loss 4.1500 (4.2489)	Top-1 acc 26.562 (24.336)	Top-5 acc 48.828 (47.494)	lr 0.00783
Warmup Train [30][1380/2134]	Time 0.535 (0.633)	Data 0.002 (0.017)	Loss 4.3094 (4.2491)	Top-1 acc 27.734 (24.332)	Top-5 acc 47.266 (47.497)	lr 0.00782
Warmup Train [30][1390/2134]	Time 0.590 (0.633)	Data 0.002 (0.017)	Loss 4.1789 (4.2491)	Top-1 acc 23.047 (24.332)	Top-5 acc 49.609 (47.500)	lr 0.00781
Warmup Train [30][1400/2134]	Time 0.652 (0.633)	Data 0.002 (0.017)	Loss 4.0601 (4.2492)	Top-1 acc 25.781 (24.329)	Top-5 acc 54.688 (47.496)	lr 0.00781
Warmup Train [30][1410/2134]	Time 0.573 (0.633)	Data 0.003 (0.017)	Loss 4.1851 (4.2491)	Top-1 acc 26.562 (24.336)	Top-5 acc 50.000 (47.504)	lr 0.00780
Warmup Train [30][1420/2134]	Time 0.632 (0.632)	Data 0.002 (0.017)	Loss 4.2455 (4.2492)	Top-1 acc 21.875 (24.338)	Top-5 acc 49.219 (47.504)	lr 0.00779
Warmup Train [30][1430/2134]	Time 0.770 (0.632)	Data 0.002 (0.017)	Loss 4.0947 (4.2488)	Top-1 acc 25.781 (24.351)	Top-5 acc 50.781 (47.518)	lr 0.00779
Warmup Train [30][1440/2134]	Time 0.596 (0.632)	Data 0.002 (0.016)	Loss 4.2841 (4.2488)	Top-1 acc 19.922 (24.350)	Top-5 acc 50.391 (47.525)	lr 0.00778
Warmup Train [30][1450/2134]	Time 0.484 (0.632)	Data 0.003 (0.016)	Loss 4.1671 (4.2489)	Top-1 acc 26.953 (24.344)	Top-5 acc 48.438 (47.520)	lr 0.00777
Warmup Train [30][1460/2134]	Time 0.682 (0.632)	Data 0.002 (0.016)	Loss 4.3073 (4.2485)	Top-1 acc 23.828 (24.355)	Top-5 acc 46.094 (47.526)	lr 0.00777
Warmup Train [30][1470/2134]	Time 0.467 (0.631)	Data 0.002 (0.016)	Loss 4.3700 (4.2488)	Top-1 acc 23.047 (24.350)	Top-5 acc 46.875 (47.527)	lr 0.00776
Warmup Train [30][1480/2134]	Time 0.574 (0.631)	Data 0.002 (0.016)	Loss 4.2453 (4.2488)	Top-1 acc 23.047 (24.352)	Top-5 acc 48.047 (47.525)	lr 0.00775
Warmup Train [30][1490/2134]	Time 0.592 (0.631)	Data 0.002 (0.016)	Loss 4.3720 (4.2489)	Top-1 acc 23.438 (24.352)	Top-5 acc 42.578 (47.521)	lr 0.00775
Warmup Train [30][1500/2134]	Time 0.744 (0.631)	Data 0.004 (0.016)	Loss 4.2482 (4.2492)	Top-1 acc 23.438 (24.348)	Top-5 acc 44.922 (47.520)	lr 0.00774
Warmup Train [30][1510/2134]	Time 0.656 (0.631)	Data 0.002 (0.016)	Loss 4.2215 (4.2493)	Top-1 acc 23.047 (24.345)	Top-5 acc 48.438 (47.515)	lr 0.00773
Warmup Train [30][1520/2134]	Time 0.507 (0.630)	Data 0.002 (0.016)	Loss 4.3660 (4.2496)	Top-1 acc 21.484 (24.339)	Top-5 acc 47.656 (47.510)	lr 0.00773
Warmup Train [30][1530/2134]	Time 0.494 (0.630)	Data 0.002 (0.016)	Loss 4.2873 (4.2494)	Top-1 acc 25.781 (24.339)	Top-5 acc 46.875 (47.510)	lr 0.00772
Warmup Train [30][1540/2134]	Time 0.741 (0.630)	Data 0.002 (0.016)	Loss 4.0409 (4.2493)	Top-1 acc 30.469 (24.341)	Top-5 acc 53.516 (47.517)	lr 0.00771
Warmup Train [30][1550/2134]	Time 0.741 (0.630)	Data 0.002 (0.016)	Loss 4.2053 (4.2494)	Top-1 acc 23.438 (24.338)	Top-5 acc 47.266 (47.513)	lr 0.00771
Warmup Train [30][1560/2134]	Time 0.649 (0.630)	Data 0.002 (0.016)	Loss 4.2815 (4.2493)	Top-1 acc 25.000 (24.337)	Top-5 acc 46.094 (47.513)	lr 0.00770
Warmup Train [30][1570/2134]	Time 0.707 (0.630)	Data 0.002 (0.016)	Loss 4.1429 (4.2495)	Top-1 acc 27.344 (24.337)	Top-5 acc 51.562 (47.498)	lr 0.00769
Warmup Train [30][1580/2134]	Time 0.641 (0.630)	Data 0.002 (0.016)	Loss 4.2927 (4.2495)	Top-1 acc 23.438 (24.341)	Top-5 acc 49.609 (47.494)	lr 0.00769
Warmup Train [30][1590/2134]	Time 0.702 (0.631)	Data 0.004 (0.016)	Loss 4.2713 (4.2494)	Top-1 acc 23.438 (24.340)	Top-5 acc 44.922 (47.497)	lr 0.00768
Warmup Train [30][1600/2134]	Time 0.588 (0.631)	Data 0.002 (0.016)	Loss 4.0838 (4.2491)	Top-1 acc 25.391 (24.337)	Top-5 acc 51.562 (47.500)	lr 0.00767
Warmup Train [30][1610/2134]	Time 0.540 (0.631)	Data 0.002 (0.015)	Loss 4.4122 (4.2491)	Top-1 acc 20.312 (24.339)	Top-5 acc 42.188 (47.501)	lr 0.00767
Warmup Train [30][1620/2134]	Time 0.650 (0.631)	Data 0.002 (0.015)	Loss 4.3460 (4.2490)	Top-1 acc 23.828 (24.342)	Top-5 acc 46.484 (47.503)	lr 0.00766
Warmup Train [30][1630/2134]	Time 0.650 (0.631)	Data 0.002 (0.015)	Loss 4.0285 (4.2492)	Top-1 acc 27.734 (24.337)	Top-5 acc 57.031 (47.501)	lr 0.00765
Warmup Train [30][1640/2134]	Time 0.627 (0.631)	Data 0.002 (0.015)	Loss 4.1714 (4.2493)	Top-1 acc 22.656 (24.330)	Top-5 acc 48.828 (47.496)	lr 0.00765
Warmup Train [30][1650/2134]	Time 0.482 (0.631)	Data 0.002 (0.015)	Loss 4.3160 (4.2491)	Top-1 acc 24.219 (24.330)	Top-5 acc 47.266 (47.500)	lr 0.00764
Warmup Train [30][1660/2134]	Time 0.544 (0.630)	Data 0.002 (0.015)	Loss 4.2735 (4.2490)	Top-1 acc 23.828 (24.331)	Top-5 acc 44.922 (47.504)	lr 0.00763
Warmup Train [30][1670/2134]	Time 0.521 (0.630)	Data 0.002 (0.015)	Loss 4.3675 (4.2491)	Top-1 acc 24.219 (24.328)	Top-5 acc 46.875 (47.500)	lr 0.00763
Warmup Train [30][1680/2134]	Time 0.626 (0.630)	Data 0.002 (0.015)	Loss 4.1903 (4.2488)	Top-1 acc 23.438 (24.334)	Top-5 acc 48.047 (47.504)	lr 0.00762
Warmup Train [30][1690/2134]	Time 0.537 (0.630)	Data 0.002 (0.015)	Loss 4.2996 (4.2489)	Top-1 acc 23.047 (24.333)	Top-5 acc 45.703 (47.498)	lr 0.00761
Warmup Train [30][1700/2134]	Time 0.697 (0.630)	Data 0.002 (0.015)	Loss 4.3016 (4.2489)	Top-1 acc 23.828 (24.331)	Top-5 acc 44.922 (47.494)	lr 0.00761
Warmup Train [30][1710/2134]	Time 0.603 (0.630)	Data 0.002 (0.015)	Loss 4.1440 (4.2490)	Top-1 acc 23.828 (24.331)	Top-5 acc 53.516 (47.495)	lr 0.00760
Warmup Train [30][1720/2134]	Time 0.777 (0.630)	Data 0.002 (0.015)	Loss 4.1773 (4.2490)	Top-1 acc 24.609 (24.333)	Top-5 acc 50.391 (47.496)	lr 0.00759
Warmup Train [30][1730/2134]	Time 0.465 (0.630)	Data 0.002 (0.015)	Loss 4.3491 (4.2491)	Top-1 acc 25.391 (24.334)	Top-5 acc 46.094 (47.491)	lr 0.00759
Warmup Train [30][1740/2134]	Time 0.531 (0.630)	Data 0.002 (0.015)	Loss 4.3700 (4.2492)	Top-1 acc 18.750 (24.328)	Top-5 acc 44.531 (47.489)	lr 0.00758
Warmup Train [30][1750/2134]	Time 0.583 (0.629)	Data 0.004 (0.015)	Loss 4.4856 (4.2490)	Top-1 acc 21.094 (24.331)	Top-5 acc 43.359 (47.497)	lr 0.00757
Warmup Train [30][1760/2134]	Time 0.625 (0.629)	Data 0.002 (0.015)	Loss 4.3312 (4.2489)	Top-1 acc 24.609 (24.333)	Top-5 acc 49.219 (47.497)	lr 0.00757
Warmup Train [30][1770/2134]	Time 0.569 (0.629)	Data 0.002 (0.015)	Loss 4.2444 (4.2488)	Top-1 acc 28.125 (24.339)	Top-5 acc 46.094 (47.501)	lr 0.00756
Warmup Train [30][1780/2134]	Time 0.697 (0.629)	Data 0.002 (0.015)	Loss 4.1500 (4.2487)	Top-1 acc 28.125 (24.339)	Top-5 acc 52.344 (47.500)	lr 0.00755
Warmup Train [30][1790/2134]	Time 0.486 (0.629)	Data 0.002 (0.015)	Loss 4.1335 (4.2487)	Top-1 acc 27.734 (24.340)	Top-5 acc 50.781 (47.499)	lr 0.00755
Warmup Train [30][1800/2134]	Time 0.688 (0.629)	Data 0.002 (0.015)	Loss 4.1011 (4.2487)	Top-1 acc 28.906 (24.337)	Top-5 acc 51.953 (47.499)	lr 0.00754
Warmup Train [30][1810/2134]	Time 0.523 (0.629)	Data 0.002 (0.014)	Loss 4.2198 (4.2483)	Top-1 acc 26.953 (24.341)	Top-5 acc 46.094 (47.502)	lr 0.00753
Warmup Train [30][1820/2134]	Time 0.518 (0.628)	Data 0.002 (0.014)	Loss 4.5241 (4.2484)	Top-1 acc 20.703 (24.334)	Top-5 acc 39.844 (47.496)	lr 0.00753
Warmup Train [30][1830/2134]	Time 0.589 (0.628)	Data 0.002 (0.014)	Loss 4.0926 (4.2480)	Top-1 acc 25.391 (24.348)	Top-5 acc 51.562 (47.511)	lr 0.00752
Warmup Train [30][1840/2134]	Time 0.619 (0.628)	Data 0.002 (0.014)	Loss 4.0735 (4.2479)	Top-1 acc 27.734 (24.350)	Top-5 acc 52.734 (47.512)	lr 0.00752
Warmup Train [30][1850/2134]	Time 0.513 (0.628)	Data 0.002 (0.014)	Loss 4.2593 (4.2482)	Top-1 acc 21.094 (24.348)	Top-5 acc 44.531 (47.498)	lr 0.00751
Warmup Train [30][1860/2134]	Time 0.492 (0.628)	Data 0.002 (0.014)	Loss 4.3418 (4.2485)	Top-1 acc 22.656 (24.338)	Top-5 acc 45.312 (47.483)	lr 0.00750
Warmup Train [30][1870/2134]	Time 0.720 (0.628)	Data 0.002 (0.014)	Loss 4.2116 (4.2483)	Top-1 acc 26.172 (24.343)	Top-5 acc 49.219 (47.491)	lr 0.00750
Warmup Train [30][1880/2134]	Time 0.578 (0.628)	Data 0.002 (0.014)	Loss 4.2979 (4.2486)	Top-1 acc 19.531 (24.335)	Top-5 acc 46.484 (47.485)	lr 0.00749
Warmup Train [30][1890/2134]	Time 0.590 (0.629)	Data 0.002 (0.014)	Loss 4.2340 (4.2485)	Top-1 acc 25.391 (24.338)	Top-5 acc 49.219 (47.484)	lr 0.00748
Warmup Train [30][1900/2134]	Time 0.588 (0.629)	Data 0.004 (0.014)	Loss 4.0334 (4.2481)	Top-1 acc 30.078 (24.343)	Top-5 acc 51.953 (47.489)	lr 0.00748
Warmup Train [30][1910/2134]	Time 0.773 (0.629)	Data 0.002 (0.014)	Loss 4.2808 (4.2481)	Top-1 acc 25.391 (24.343)	Top-5 acc 45.703 (47.489)	lr 0.00747
Warmup Train [30][1920/2134]	Time 0.476 (0.629)	Data 0.002 (0.014)	Loss 4.2176 (4.2477)	Top-1 acc 25.000 (24.348)	Top-5 acc 47.266 (47.498)	lr 0.00746
Warmup Train [30][1930/2134]	Time 0.682 (0.629)	Data 0.002 (0.014)	Loss 4.1199 (4.2477)	Top-1 acc 25.000 (24.345)	Top-5 acc 51.953 (47.494)	lr 0.00746
Warmup Train [30][1940/2134]	Time 0.333 (0.628)	Data 0.002 (0.014)	Loss 4.2723 (4.2476)	Top-1 acc 23.438 (24.343)	Top-5 acc 46.875 (47.498)	lr 0.00745
Warmup Train [30][1950/2134]	Time 0.561 (0.628)	Data 0.002 (0.014)	Loss 4.0908 (4.2476)	Top-1 acc 29.688 (24.342)	Top-5 acc 50.781 (47.500)	lr 0.00744
Warmup Train [30][1960/2134]	Time 0.651 (0.628)	Data 0.002 (0.014)	Loss 4.4716 (4.2475)	Top-1 acc 19.922 (24.345)	Top-5 acc 44.141 (47.504)	lr 0.00744
Warmup Train [30][1970/2134]	Time 0.452 (0.628)	Data 0.002 (0.014)	Loss 4.1504 (4.2474)	Top-1 acc 25.781 (24.349)	Top-5 acc 49.609 (47.507)	lr 0.00743
Warmup Train [30][1980/2134]	Time 0.765 (0.628)	Data 0.002 (0.014)	Loss 4.1816 (4.2472)	Top-1 acc 24.609 (24.349)	Top-5 acc 50.000 (47.512)	lr 0.00742
Warmup Train [30][1990/2134]	Time 0.745 (0.628)	Data 0.002 (0.014)	Loss 4.3982 (4.2474)	Top-1 acc 21.094 (24.349)	Top-5 acc 42.578 (47.508)	lr 0.00742
Warmup Train [30][2000/2134]	Time 0.686 (0.628)	Data 0.002 (0.014)	Loss 3.9494 (4.2473)	Top-1 acc 31.250 (24.352)	Top-5 acc 58.203 (47.518)	lr 0.00741
Warmup Train [30][2010/2134]	Time 0.779 (0.628)	Data 0.002 (0.014)	Loss 4.1002 (4.2473)	Top-1 acc 24.219 (24.347)	Top-5 acc 50.000 (47.510)	lr 0.00740
Warmup Train [30][2020/2134]	Time 0.593 (0.628)	Data 0.002 (0.014)	Loss 4.2615 (4.2473)	Top-1 acc 24.219 (24.349)	Top-5 acc 46.875 (47.508)	lr 0.00740
Warmup Train [30][2030/2134]	Time 0.632 (0.628)	Data 0.002 (0.014)	Loss 4.2876 (4.2476)	Top-1 acc 25.000 (24.345)	Top-5 acc 47.656 (47.497)	lr 0.00739
Warmup Train [30][2040/2134]	Time 0.642 (0.627)	Data 0.004 (0.014)	Loss 4.2074 (4.2476)	Top-1 acc 26.953 (24.350)	Top-5 acc 46.875 (47.497)	lr 0.00738
Warmup Train [30][2050/2134]	Time 0.742 (0.627)	Data 0.003 (0.014)	Loss 4.3723 (4.2475)	Top-1 acc 23.438 (24.351)	Top-5 acc 44.922 (47.498)	lr 0.00738
Warmup Train [30][2060/2134]	Time 0.505 (0.627)	Data 0.002 (0.014)	Loss 4.2455 (4.2472)	Top-1 acc 23.047 (24.354)	Top-5 acc 46.484 (47.507)	lr 0.00737
Warmup Train [30][2070/2134]	Time 0.472 (0.627)	Data 0.002 (0.014)	Loss 4.4393 (4.2472)	Top-1 acc 23.828 (24.358)	Top-5 acc 42.188 (47.510)	lr 0.00736
Warmup Train [30][2080/2134]	Time 0.439 (0.627)	Data 0.000 (0.014)	Loss 4.4487 (4.2473)	Top-1 acc 23.438 (24.354)	Top-5 acc 44.922 (47.506)	lr 0.00736
Warmup Train [30][2090/2134]	Time 0.576 (0.627)	Data 0.000 (0.014)	Loss 4.1402 (4.2472)	Top-1 acc 28.516 (24.358)	Top-5 acc 52.734 (47.511)	lr 0.00735
Warmup Train [30][2100/2134]	Time 0.635 (0.626)	Data 0.000 (0.013)	Loss 4.0894 (4.2468)	Top-1 acc 25.781 (24.366)	Top-5 acc 49.609 (47.518)	lr 0.00735
Warmup Train [30][2110/2134]	Time 0.576 (0.626)	Data 0.000 (0.013)	Loss 4.1275 (4.2467)	Top-1 acc 27.344 (24.368)	Top-5 acc 51.953 (47.520)	lr 0.00734
Warmup Train [30][2120/2134]	Time 0.493 (0.626)	Data 0.000 (0.013)	Loss 4.1148 (4.2467)	Top-1 acc 27.344 (24.371)	Top-5 acc 50.391 (47.517)	lr 0.00733
Warmup Train [30][2130/2134]	Time 0.623 (0.626)	Data 0.000 (0.013)	Loss 4.1345 (4.2465)	Top-1 acc 28.516 (24.375)	Top-5 acc 51.953 (47.525)	lr 0.00733
Warmup Train [30][2134/2134]	Time 0.520 (0.625)	Data 0.000 (0.013)	Loss 4.3191 (4.2465)	Top-1 acc 22.995 (24.374)	Top-5 acc 45.989 (47.524)	lr 0.00732
==========Warmup Valid [30/40]	loss 3.259	top-1 acc 31.649	top-5 acc 57.320	Train top-1 24.374	top-5 47.524	flops: 442.4M
Warmup Train [31][0/2134]	Time 12.118 (12.118)	Data 10.891 (10.891)	Loss 4.3390 (4.3390)	Top-1 acc 19.531 (19.531)	Top-5 acc 45.703 (45.703)	lr 0.00732
Warmup Train [31][10/2134]	Time 0.554 (1.981)	Data 0.002 (1.140)	Loss 4.2405 (4.2552)	Top-1 acc 25.781 (24.787)	Top-5 acc 51.953 (47.976)	lr 0.00732
Warmup Train [31][20/2134]	Time 4.068 (1.505)	Data 0.002 (0.603)	Loss 4.2252 (4.2215)	Top-1 acc 25.391 (25.149)	Top-5 acc 50.781 (48.661)	lr 0.00731
Warmup Train [31][30/2134]	Time 0.567 (1.216)	Data 0.002 (0.409)	Loss 4.3215 (4.2194)	Top-1 acc 22.266 (25.088)	Top-5 acc 46.875 (48.362)	lr 0.00730
Warmup Train [31][40/2134]	Time 0.659 (1.071)	Data 0.003 (0.310)	Loss 4.3120 (4.2231)	Top-1 acc 22.656 (24.867)	Top-5 acc 48.828 (48.523)	lr 0.00730
Warmup Train [31][50/2134]	Time 0.423 (0.975)	Data 0.003 (0.250)	Loss 4.4073 (4.2229)	Top-1 acc 19.141 (24.839)	Top-5 acc 45.312 (48.246)	lr 0.00729
Warmup Train [31][60/2134]	Time 0.394 (0.912)	Data 0.002 (0.213)	Loss 4.3607 (4.2309)	Top-1 acc 19.141 (24.481)	Top-5 acc 44.922 (47.970)	lr 0.00728
Warmup Train [31][70/2134]	Time 0.673 (0.876)	Data 0.002 (0.185)	Loss 4.0414 (4.2256)	Top-1 acc 28.906 (24.543)	Top-5 acc 51.953 (48.063)	lr 0.00728
Warmup Train [31][80/2134]	Time 0.419 (0.844)	Data 0.002 (0.163)	Loss 4.2949 (4.2254)	Top-1 acc 23.438 (24.561)	Top-5 acc 43.750 (47.989)	lr 0.00727
Warmup Train [31][90/2134]	Time 0.645 (0.821)	Data 0.002 (0.147)	Loss 4.2588 (4.2301)	Top-1 acc 22.656 (24.485)	Top-5 acc 44.922 (47.751)	lr 0.00726
Warmup Train [31][100/2134]	Time 0.450 (0.799)	Data 0.003 (0.133)	Loss 4.2941 (4.2271)	Top-1 acc 26.562 (24.598)	Top-5 acc 44.922 (47.726)	lr 0.00726
Warmup Train [31][110/2134]	Time 0.609 (0.784)	Data 0.002 (0.122)	Loss 4.1334 (4.2253)	Top-1 acc 22.266 (24.652)	Top-5 acc 47.266 (47.818)	lr 0.00725
Warmup Train [31][120/2134]	Time 0.810 (0.771)	Data 0.002 (0.112)	Loss 4.3372 (4.2271)	Top-1 acc 23.828 (24.613)	Top-5 acc 45.703 (47.756)	lr 0.00724
Warmup Train [31][130/2134]	Time 0.651 (0.760)	Data 0.002 (0.104)	Loss 4.2705 (4.2251)	Top-1 acc 20.312 (24.657)	Top-5 acc 48.438 (47.853)	lr 0.00724
Warmup Train [31][140/2134]	Time 0.663 (0.751)	Data 0.002 (0.097)	Loss 4.1767 (4.2320)	Top-1 acc 21.484 (24.560)	Top-5 acc 48.828 (47.734)	lr 0.00723
Warmup Train [31][150/2134]	Time 0.574 (0.743)	Data 0.002 (0.091)	Loss 4.2681 (4.2290)	Top-1 acc 25.781 (24.648)	Top-5 acc 46.875 (47.786)	lr 0.00723
Warmup Train [31][160/2134]	Time 0.759 (0.735)	Data 0.002 (0.085)	Loss 4.2244 (4.2311)	Top-1 acc 22.266 (24.609)	Top-5 acc 45.312 (47.787)	lr 0.00722
Warmup Train [31][170/2134]	Time 0.702 (0.727)	Data 0.002 (0.080)	Loss 4.3527 (4.2319)	Top-1 acc 22.656 (24.605)	Top-5 acc 43.359 (47.754)	lr 0.00721
Warmup Train [31][180/2134]	Time 0.434 (0.720)	Data 0.002 (0.076)	Loss 4.0661 (4.2330)	Top-1 acc 25.391 (24.571)	Top-5 acc 51.172 (47.691)	lr 0.00721
Warmup Train [31][190/2134]	Time 0.563 (0.716)	Data 0.002 (0.073)	Loss 4.2790 (4.2321)	Top-1 acc 19.531 (24.579)	Top-5 acc 43.750 (47.709)	lr 0.00720
Warmup Train [31][200/2134]	Time 0.752 (0.711)	Data 0.002 (0.070)	Loss 4.4202 (4.2326)	Top-1 acc 20.703 (24.571)	Top-5 acc 43.750 (47.701)	lr 0.00719
Warmup Train [31][210/2134]	Time 0.471 (0.707)	Data 0.003 (0.067)	Loss 4.3112 (4.2323)	Top-1 acc 24.609 (24.519)	Top-5 acc 47.656 (47.690)	lr 0.00719
Warmup Train [31][220/2134]	Time 0.742 (0.703)	Data 0.002 (0.065)	Loss 4.2113 (4.2300)	Top-1 acc 25.781 (24.567)	Top-5 acc 48.828 (47.718)	lr 0.00718
Warmup Train [31][230/2134]	Time 0.712 (0.699)	Data 0.002 (0.062)	Loss 4.3739 (4.2309)	Top-1 acc 22.656 (24.562)	Top-5 acc 44.922 (47.707)	lr 0.00717
Warmup Train [31][240/2134]	Time 0.720 (0.696)	Data 0.002 (0.059)	Loss 4.3434 (4.2299)	Top-1 acc 25.000 (24.562)	Top-5 acc 46.094 (47.711)	lr 0.00717
Warmup Train [31][250/2134]	Time 0.665 (0.692)	Data 0.002 (0.057)	Loss 4.2667 (4.2299)	Top-1 acc 23.828 (24.570)	Top-5 acc 47.656 (47.697)	lr 0.00716
Warmup Train [31][260/2134]	Time 0.665 (0.690)	Data 0.003 (0.056)	Loss 4.3220 (4.2320)	Top-1 acc 25.000 (24.529)	Top-5 acc 42.578 (47.659)	lr 0.00715
Warmup Train [31][270/2134]	Time 0.778 (0.687)	Data 0.003 (0.054)	Loss 4.3232 (4.2320)	Top-1 acc 25.000 (24.537)	Top-5 acc 47.266 (47.658)	lr 0.00715
Warmup Train [31][280/2134]	Time 0.664 (0.684)	Data 0.002 (0.052)	Loss 4.0442 (4.2306)	Top-1 acc 28.516 (24.587)	Top-5 acc 51.562 (47.712)	lr 0.00714
Warmup Train [31][290/2134]	Time 0.510 (0.681)	Data 0.002 (0.050)	Loss 4.2705 (4.2308)	Top-1 acc 25.391 (24.612)	Top-5 acc 47.656 (47.707)	lr 0.00713
Warmup Train [31][300/2134]	Time 0.529 (0.679)	Data 0.002 (0.049)	Loss 3.9338 (4.2294)	Top-1 acc 32.812 (24.666)	Top-5 acc 55.078 (47.752)	lr 0.00713
Warmup Train [31][310/2134]	Time 3.407 (0.686)	Data 0.002 (0.048)	Loss 4.2685 (4.2291)	Top-1 acc 24.219 (24.653)	Top-5 acc 46.484 (47.777)	lr 0.00712
Warmup Train [31][320/2134]	Time 0.701 (0.685)	Data 0.023 (0.047)	Loss 4.3096 (4.2299)	Top-1 acc 27.344 (24.669)	Top-5 acc 47.266 (47.763)	lr 0.00712
Warmup Train [31][330/2134]	Time 0.784 (0.682)	Data 0.002 (0.046)	Loss 4.2011 (4.2298)	Top-1 acc 26.953 (24.686)	Top-5 acc 49.219 (47.733)	lr 0.00711
Warmup Train [31][340/2134]	Time 0.611 (0.681)	Data 0.002 (0.044)	Loss 4.3223 (4.2300)	Top-1 acc 19.141 (24.653)	Top-5 acc 43.750 (47.699)	lr 0.00710
Warmup Train [31][350/2134]	Time 0.416 (0.678)	Data 0.002 (0.043)	Loss 4.4334 (4.2310)	Top-1 acc 22.266 (24.625)	Top-5 acc 43.359 (47.697)	lr 0.00710
Warmup Train [31][360/2134]	Time 0.606 (0.677)	Data 0.002 (0.043)	Loss 4.1570 (4.2314)	Top-1 acc 25.000 (24.584)	Top-5 acc 46.875 (47.675)	lr 0.00709
Warmup Train [31][370/2134]	Time 0.600 (0.676)	Data 0.002 (0.042)	Loss 4.2164 (4.2325)	Top-1 acc 23.828 (24.595)	Top-5 acc 47.266 (47.664)	lr 0.00708
Warmup Train [31][380/2134]	Time 0.444 (0.673)	Data 0.003 (0.041)	Loss 4.2995 (4.2338)	Top-1 acc 25.781 (24.598)	Top-5 acc 47.656 (47.663)	lr 0.00708
Warmup Train [31][390/2134]	Time 0.745 (0.672)	Data 0.002 (0.040)	Loss 4.2033 (4.2332)	Top-1 acc 27.734 (24.647)	Top-5 acc 50.000 (47.696)	lr 0.00707
Warmup Train [31][400/2134]	Time 0.557 (0.670)	Data 0.003 (0.039)	Loss 4.1689 (4.2323)	Top-1 acc 23.047 (24.672)	Top-5 acc 49.219 (47.689)	lr 0.00706
Warmup Train [31][410/2134]	Time 0.720 (0.669)	Data 0.002 (0.039)	Loss 4.3359 (4.2316)	Top-1 acc 22.656 (24.664)	Top-5 acc 47.656 (47.722)	lr 0.00706
Warmup Train [31][420/2134]	Time 0.645 (0.668)	Data 0.003 (0.038)	Loss 4.2667 (4.2307)	Top-1 acc 27.344 (24.725)	Top-5 acc 46.484 (47.755)	lr 0.00705
Warmup Train [31][430/2134]	Time 0.670 (0.666)	Data 0.002 (0.037)	Loss 4.2158 (4.2321)	Top-1 acc 24.219 (24.698)	Top-5 acc 51.562 (47.731)	lr 0.00704
Warmup Train [31][440/2134]	Time 0.746 (0.664)	Data 0.002 (0.036)	Loss 4.0983 (4.2310)	Top-1 acc 25.000 (24.705)	Top-5 acc 53.125 (47.769)	lr 0.00704
Warmup Train [31][450/2134]	Time 0.733 (0.663)	Data 0.002 (0.035)	Loss 4.3445 (4.2316)	Top-1 acc 24.609 (24.693)	Top-5 acc 42.578 (47.763)	lr 0.00703
Warmup Train [31][460/2134]	Time 0.689 (0.662)	Data 0.002 (0.035)	Loss 4.3944 (4.2327)	Top-1 acc 24.219 (24.690)	Top-5 acc 43.750 (47.730)	lr 0.00703
Warmup Train [31][470/2134]	Time 0.394 (0.661)	Data 0.002 (0.034)	Loss 4.2246 (4.2318)	Top-1 acc 20.703 (24.673)	Top-5 acc 51.953 (47.763)	lr 0.00702
Warmup Train [31][480/2134]	Time 0.798 (0.660)	Data 0.004 (0.034)	Loss 4.3056 (4.2316)	Top-1 acc 26.562 (24.689)	Top-5 acc 43.750 (47.767)	lr 0.00701
Warmup Train [31][490/2134]	Time 0.488 (0.659)	Data 0.002 (0.033)	Loss 4.0949 (4.2310)	Top-1 acc 25.781 (24.682)	Top-5 acc 52.734 (47.788)	lr 0.00701
Warmup Train [31][500/2134]	Time 0.625 (0.658)	Data 0.002 (0.033)	Loss 4.2205 (4.2304)	Top-1 acc 21.094 (24.688)	Top-5 acc 43.359 (47.786)	lr 0.00700
Warmup Train [31][510/2134]	Time 0.650 (0.658)	Data 0.002 (0.032)	Loss 4.1827 (4.2305)	Top-1 acc 21.875 (24.671)	Top-5 acc 49.219 (47.784)	lr 0.00699
Warmup Train [31][520/2134]	Time 0.661 (0.657)	Data 0.002 (0.032)	Loss 4.0177 (4.2305)	Top-1 acc 26.562 (24.648)	Top-5 acc 52.344 (47.778)	lr 0.00699
Warmup Train [31][530/2134]	Time 0.773 (0.656)	Data 0.003 (0.031)	Loss 4.0642 (4.2293)	Top-1 acc 25.781 (24.667)	Top-5 acc 51.172 (47.811)	lr 0.00698
Warmup Train [31][540/2134]	Time 0.516 (0.655)	Data 0.003 (0.031)	Loss 4.1631 (4.2296)	Top-1 acc 24.219 (24.672)	Top-5 acc 46.875 (47.800)	lr 0.00697
Warmup Train [31][550/2134]	Time 0.635 (0.655)	Data 0.002 (0.030)	Loss 4.2781 (4.2286)	Top-1 acc 26.562 (24.680)	Top-5 acc 46.484 (47.825)	lr 0.00697
Warmup Train [31][560/2134]	Time 0.641 (0.654)	Data 0.002 (0.030)	Loss 4.2011 (4.2295)	Top-1 acc 28.516 (24.675)	Top-5 acc 49.609 (47.809)	lr 0.00696
Warmup Train [31][570/2134]	Time 0.653 (0.654)	Data 0.002 (0.029)	Loss 4.1723 (4.2299)	Top-1 acc 23.828 (24.665)	Top-5 acc 50.391 (47.798)	lr 0.00696
Warmup Train [31][580/2134]	Time 0.479 (0.653)	Data 0.004 (0.029)	Loss 4.2089 (4.2300)	Top-1 acc 21.094 (24.667)	Top-5 acc 48.438 (47.799)	lr 0.00695
Warmup Train [31][590/2134]	Time 0.415 (0.652)	Data 0.002 (0.029)	Loss 4.2932 (4.2305)	Top-1 acc 24.219 (24.644)	Top-5 acc 48.828 (47.798)	lr 0.00694
Warmup Train [31][600/2134]	Time 0.710 (0.657)	Data 0.004 (0.029)	Loss 4.2140 (4.2300)	Top-1 acc 25.781 (24.653)	Top-5 acc 47.656 (47.800)	lr 0.00694
Warmup Train [31][610/2134]	Time 0.730 (0.656)	Data 0.003 (0.028)	Loss 4.0942 (4.2297)	Top-1 acc 26.562 (24.666)	Top-5 acc 51.562 (47.812)	lr 0.00693
Warmup Train [31][620/2134]	Time 0.653 (0.655)	Data 0.004 (0.028)	Loss 4.2902 (4.2291)	Top-1 acc 24.219 (24.664)	Top-5 acc 47.656 (47.836)	lr 0.00692
Warmup Train [31][630/2134]	Time 0.591 (0.654)	Data 0.002 (0.028)	Loss 4.2635 (4.2289)	Top-1 acc 23.828 (24.673)	Top-5 acc 48.438 (47.847)	lr 0.00692
Warmup Train [31][640/2134]	Time 0.527 (0.653)	Data 0.002 (0.027)	Loss 4.1135 (4.2279)	Top-1 acc 25.000 (24.684)	Top-5 acc 48.438 (47.862)	lr 0.00691
Warmup Train [31][650/2134]	Time 0.670 (0.653)	Data 0.006 (0.027)	Loss 4.0809 (4.2271)	Top-1 acc 28.906 (24.699)	Top-5 acc 51.953 (47.866)	lr 0.00690
Warmup Train [31][660/2134]	Time 0.583 (0.651)	Data 0.002 (0.027)	Loss 4.1591 (4.2276)	Top-1 acc 25.391 (24.684)	Top-5 acc 50.781 (47.849)	lr 0.00690
Warmup Train [31][670/2134]	Time 0.756 (0.651)	Data 0.002 (0.026)	Loss 4.3440 (4.2277)	Top-1 acc 27.344 (24.689)	Top-5 acc 45.312 (47.853)	lr 0.00689
Warmup Train [31][680/2134]	Time 0.554 (0.651)	Data 0.002 (0.026)	Loss 4.2371 (4.2269)	Top-1 acc 28.125 (24.716)	Top-5 acc 50.000 (47.878)	lr 0.00689
Warmup Train [31][690/2134]	Time 0.803 (0.650)	Data 0.002 (0.026)	Loss 4.0244 (4.2255)	Top-1 acc 28.906 (24.744)	Top-5 acc 51.562 (47.904)	lr 0.00688
Warmup Train [31][700/2134]	Time 0.595 (0.650)	Data 0.004 (0.026)	Loss 4.3746 (4.2260)	Top-1 acc 17.969 (24.737)	Top-5 acc 43.750 (47.899)	lr 0.00687
Warmup Train [31][710/2134]	Time 0.627 (0.649)	Data 0.002 (0.025)	Loss 4.1800 (4.2262)	Top-1 acc 22.266 (24.726)	Top-5 acc 50.781 (47.886)	lr 0.00687
Warmup Train [31][720/2134]	Time 0.585 (0.648)	Data 0.003 (0.025)	Loss 4.3727 (4.2267)	Top-1 acc 23.828 (24.732)	Top-5 acc 43.750 (47.869)	lr 0.00686
Warmup Train [31][730/2134]	Time 0.493 (0.648)	Data 0.002 (0.025)	Loss 4.2989 (4.2265)	Top-1 acc 24.219 (24.749)	Top-5 acc 44.141 (47.893)	lr 0.00685
Warmup Train [31][740/2134]	Time 0.602 (0.648)	Data 0.002 (0.025)	Loss 4.2322 (4.2265)	Top-1 acc 23.828 (24.752)	Top-5 acc 47.656 (47.893)	lr 0.00685
Warmup Train [31][750/2134]	Time 0.599 (0.647)	Data 0.002 (0.025)	Loss 4.0606 (4.2264)	Top-1 acc 26.562 (24.769)	Top-5 acc 50.391 (47.898)	lr 0.00684
Warmup Train [31][760/2134]	Time 0.720 (0.647)	Data 0.002 (0.024)	Loss 4.3317 (4.2261)	Top-1 acc 25.391 (24.780)	Top-5 acc 44.922 (47.906)	lr 0.00684
Warmup Train [31][770/2134]	Time 0.759 (0.646)	Data 0.004 (0.024)	Loss 4.3558 (4.2258)	Top-1 acc 22.656 (24.793)	Top-5 acc 44.531 (47.913)	lr 0.00683
Warmup Train [31][780/2134]	Time 0.628 (0.645)	Data 0.002 (0.024)	Loss 4.2082 (4.2260)	Top-1 acc 26.562 (24.782)	Top-5 acc 44.531 (47.897)	lr 0.00682
Warmup Train [31][790/2134]	Time 0.661 (0.645)	Data 0.002 (0.023)	Loss 4.1819 (4.2262)	Top-1 acc 26.953 (24.785)	Top-5 acc 47.656 (47.891)	lr 0.00682
Warmup Train [31][800/2134]	Time 0.445 (0.644)	Data 0.003 (0.023)	Loss 4.2203 (4.2261)	Top-1 acc 24.609 (24.796)	Top-5 acc 50.781 (47.900)	lr 0.00681
Warmup Train [31][810/2134]	Time 0.724 (0.643)	Data 0.002 (0.023)	Loss 4.1543 (4.2262)	Top-1 acc 26.172 (24.794)	Top-5 acc 52.734 (47.902)	lr 0.00680
Warmup Train [31][820/2134]	Time 0.521 (0.643)	Data 0.004 (0.023)	Loss 4.2682 (4.2260)	Top-1 acc 22.656 (24.793)	Top-5 acc 47.266 (47.909)	lr 0.00680
Warmup Train [31][830/2134]	Time 0.688 (0.643)	Data 0.002 (0.023)	Loss 4.1082 (4.2262)	Top-1 acc 24.609 (24.785)	Top-5 acc 50.391 (47.906)	lr 0.00679
Warmup Train [31][840/2134]	Time 0.607 (0.642)	Data 0.002 (0.022)	Loss 4.1351 (4.2261)	Top-1 acc 25.781 (24.800)	Top-5 acc 51.953 (47.911)	lr 0.00678
Warmup Train [31][850/2134]	Time 0.449 (0.642)	Data 0.002 (0.022)	Loss 4.3679 (4.2260)	Top-1 acc 23.438 (24.804)	Top-5 acc 47.656 (47.920)	lr 0.00678
Warmup Train [31][860/2134]	Time 0.527 (0.642)	Data 0.002 (0.022)	Loss 4.2775 (4.2258)	Top-1 acc 23.438 (24.799)	Top-5 acc 47.266 (47.930)	lr 0.00677
Warmup Train [31][870/2134]	Time 0.629 (0.642)	Data 0.002 (0.022)	Loss 4.2785 (4.2253)	Top-1 acc 25.781 (24.811)	Top-5 acc 46.094 (47.941)	lr 0.00677
Warmup Train [31][880/2134]	Time 0.671 (0.641)	Data 0.004 (0.022)	Loss 4.3001 (4.2255)	Top-1 acc 23.828 (24.808)	Top-5 acc 48.438 (47.940)	lr 0.00676
Warmup Train [31][890/2134]	Time 0.585 (0.641)	Data 0.002 (0.022)	Loss 4.1493 (4.2254)	Top-1 acc 23.047 (24.807)	Top-5 acc 51.172 (47.934)	lr 0.00675
Warmup Train [31][900/2134]	Time 0.563 (0.644)	Data 0.002 (0.022)	Loss 4.2245 (4.2259)	Top-1 acc 26.953 (24.799)	Top-5 acc 47.266 (47.922)	lr 0.00675
Warmup Train [31][910/2134]	Time 0.629 (0.643)	Data 0.002 (0.021)	Loss 4.2030 (4.2263)	Top-1 acc 23.828 (24.802)	Top-5 acc 50.391 (47.911)	lr 0.00674
Warmup Train [31][920/2134]	Time 0.654 (0.643)	Data 0.003 (0.021)	Loss 4.4997 (4.2271)	Top-1 acc 20.703 (24.783)	Top-5 acc 44.141 (47.896)	lr 0.00673
Warmup Train [31][930/2134]	Time 0.472 (0.643)	Data 0.002 (0.021)	Loss 4.3102 (4.2270)	Top-1 acc 22.656 (24.781)	Top-5 acc 47.656 (47.890)	lr 0.00673
Warmup Train [31][940/2134]	Time 0.777 (0.642)	Data 0.002 (0.021)	Loss 4.0969 (4.2268)	Top-1 acc 26.172 (24.793)	Top-5 acc 50.391 (47.895)	lr 0.00672
Warmup Train [31][950/2134]	Time 0.772 (0.642)	Data 0.002 (0.021)	Loss 4.3926 (4.2273)	Top-1 acc 23.438 (24.786)	Top-5 acc 44.141 (47.888)	lr 0.00672
Warmup Train [31][960/2134]	Time 0.692 (0.642)	Data 0.002 (0.021)	Loss 4.3082 (4.2277)	Top-1 acc 23.047 (24.778)	Top-5 acc 40.234 (47.877)	lr 0.00671
Warmup Train [31][970/2134]	Time 0.506 (0.641)	Data 0.002 (0.020)	Loss 4.0703 (4.2273)	Top-1 acc 26.953 (24.777)	Top-5 acc 51.562 (47.888)	lr 0.00670
Warmup Train [31][980/2134]	Time 0.489 (0.641)	Data 0.002 (0.020)	Loss 3.9881 (4.2268)	Top-1 acc 26.562 (24.787)	Top-5 acc 54.688 (47.893)	lr 0.00670
Warmup Train [31][990/2134]	Time 0.474 (0.640)	Data 0.002 (0.020)	Loss 4.2530 (4.2269)	Top-1 acc 26.172 (24.791)	Top-5 acc 48.828 (47.883)	lr 0.00669
Warmup Train [31][1000/2134]	Time 0.606 (0.640)	Data 0.003 (0.020)	Loss 4.1589 (4.2268)	Top-1 acc 29.688 (24.790)	Top-5 acc 51.562 (47.892)	lr 0.00668
Warmup Train [31][1010/2134]	Time 0.504 (0.639)	Data 0.003 (0.020)	Loss 4.1281 (4.2264)	Top-1 acc 26.953 (24.799)	Top-5 acc 50.781 (47.915)	lr 0.00668
Warmup Train [31][1020/2134]	Time 0.821 (0.639)	Data 0.003 (0.020)	Loss 4.2076 (4.2262)	Top-1 acc 22.656 (24.790)	Top-5 acc 47.266 (47.915)	lr 0.00667
Warmup Train [31][1030/2134]	Time 0.609 (0.639)	Data 0.002 (0.020)	Loss 4.2693 (4.2264)	Top-1 acc 22.266 (24.772)	Top-5 acc 48.828 (47.904)	lr 0.00667
Warmup Train [31][1040/2134]	Time 0.698 (0.639)	Data 0.002 (0.020)	Loss 4.2965 (4.2261)	Top-1 acc 22.266 (24.773)	Top-5 acc 46.484 (47.910)	lr 0.00666
Warmup Train [31][1050/2134]	Time 0.676 (0.638)	Data 0.030 (0.020)	Loss 4.2329 (4.2261)	Top-1 acc 25.391 (24.770)	Top-5 acc 47.656 (47.912)	lr 0.00665
Warmup Train [31][1060/2134]	Time 0.657 (0.638)	Data 0.003 (0.019)	Loss 4.1075 (4.2261)	Top-1 acc 28.125 (24.777)	Top-5 acc 51.562 (47.915)	lr 0.00665
Warmup Train [31][1070/2134]	Time 0.496 (0.638)	Data 0.002 (0.019)	Loss 4.1962 (4.2256)	Top-1 acc 27.344 (24.771)	Top-5 acc 50.000 (47.923)	lr 0.00664
Warmup Train [31][1080/2134]	Time 0.465 (0.638)	Data 0.002 (0.019)	Loss 4.3220 (4.2259)	Top-1 acc 22.656 (24.774)	Top-5 acc 46.875 (47.927)	lr 0.00663
Warmup Train [31][1090/2134]	Time 0.656 (0.638)	Data 0.002 (0.019)	Loss 4.2483 (4.2261)	Top-1 acc 28.906 (24.771)	Top-5 acc 48.828 (47.934)	lr 0.00663
Warmup Train [31][1100/2134]	Time 0.722 (0.637)	Data 0.002 (0.019)	Loss 4.2075 (4.2264)	Top-1 acc 26.953 (24.762)	Top-5 acc 45.703 (47.914)	lr 0.00662
Warmup Train [31][1110/2134]	Time 0.556 (0.637)	Data 0.003 (0.019)	Loss 4.2429 (4.2261)	Top-1 acc 26.172 (24.766)	Top-5 acc 47.656 (47.920)	lr 0.00662
Warmup Train [31][1120/2134]	Time 0.723 (0.637)	Data 0.003 (0.019)	Loss 4.2682 (4.2255)	Top-1 acc 23.828 (24.770)	Top-5 acc 48.047 (47.935)	lr 0.00661
Warmup Train [31][1130/2134]	Time 0.447 (0.637)	Data 0.002 (0.019)	Loss 4.2262 (4.2253)	Top-1 acc 24.219 (24.775)	Top-5 acc 46.484 (47.941)	lr 0.00660
Warmup Train [31][1140/2134]	Time 0.485 (0.637)	Data 0.002 (0.019)	Loss 4.4501 (4.2252)	Top-1 acc 16.406 (24.773)	Top-5 acc 45.312 (47.950)	lr 0.00660
Warmup Train [31][1150/2134]	Time 0.669 (0.636)	Data 0.002 (0.019)	Loss 4.3931 (4.2254)	Top-1 acc 20.703 (24.770)	Top-5 acc 46.094 (47.956)	lr 0.00659
Warmup Train [31][1160/2134]	Time 0.647 (0.636)	Data 0.002 (0.019)	Loss 4.2700 (4.2253)	Top-1 acc 28.125 (24.772)	Top-5 acc 47.266 (47.954)	lr 0.00658
Warmup Train [31][1170/2134]	Time 0.512 (0.636)	Data 0.002 (0.018)	Loss 4.1846 (4.2252)	Top-1 acc 23.438 (24.768)	Top-5 acc 48.438 (47.949)	lr 0.00658
Warmup Train [31][1180/2134]	Time 0.484 (0.635)	Data 0.002 (0.018)	Loss 4.2460 (4.2255)	Top-1 acc 28.125 (24.769)	Top-5 acc 48.828 (47.943)	lr 0.00657
Warmup Train [31][1190/2134]	Time 0.544 (0.638)	Data 0.002 (0.018)	Loss 4.0038 (4.2255)	Top-1 acc 28.125 (24.775)	Top-5 acc 52.344 (47.934)	lr 0.00657
Warmup Train [31][1200/2134]	Time 0.528 (0.637)	Data 0.002 (0.018)	Loss 4.2751 (4.2256)	Top-1 acc 22.656 (24.785)	Top-5 acc 46.094 (47.946)	lr 0.00656
Warmup Train [31][1210/2134]	Time 0.598 (0.637)	Data 0.004 (0.018)	Loss 4.1985 (4.2254)	Top-1 acc 26.172 (24.794)	Top-5 acc 47.266 (47.952)	lr 0.00655
Warmup Train [31][1220/2134]	Time 0.626 (0.637)	Data 0.002 (0.018)	Loss 4.4299 (4.2256)	Top-1 acc 19.531 (24.789)	Top-5 acc 39.844 (47.950)	lr 0.00655
Warmup Train [31][1230/2134]	Time 0.655 (0.637)	Data 0.002 (0.018)	Loss 4.3047 (4.2252)	Top-1 acc 21.094 (24.792)	Top-5 acc 47.266 (47.968)	lr 0.00654
Warmup Train [31][1240/2134]	Time 0.660 (0.636)	Data 0.002 (0.018)	Loss 4.1172 (4.2250)	Top-1 acc 24.609 (24.787)	Top-5 acc 53.125 (47.970)	lr 0.00653
Warmup Train [31][1250/2134]	Time 0.594 (0.636)	Data 0.002 (0.018)	Loss 4.2757 (4.2253)	Top-1 acc 25.000 (24.781)	Top-5 acc 44.141 (47.960)	lr 0.00653
Warmup Train [31][1260/2134]	Time 0.639 (0.636)	Data 0.002 (0.018)	Loss 4.1848 (4.2255)	Top-1 acc 25.000 (24.780)	Top-5 acc 49.609 (47.955)	lr 0.00652
Warmup Train [31][1270/2134]	Time 0.700 (0.636)	Data 0.002 (0.018)	Loss 4.2871 (4.2254)	Top-1 acc 24.219 (24.781)	Top-5 acc 45.703 (47.949)	lr 0.00652
Warmup Train [31][1280/2134]	Time 0.613 (0.636)	Data 0.002 (0.018)	Loss 4.3303 (4.2252)	Top-1 acc 27.344 (24.778)	Top-5 acc 48.047 (47.956)	lr 0.00651
Warmup Train [31][1290/2134]	Time 0.527 (0.635)	Data 0.003 (0.017)	Loss 4.1984 (4.2257)	Top-1 acc 24.219 (24.771)	Top-5 acc 48.438 (47.941)	lr 0.00650
Warmup Train [31][1300/2134]	Time 0.608 (0.635)	Data 0.002 (0.017)	Loss 4.3819 (4.2259)	Top-1 acc 19.922 (24.763)	Top-5 acc 44.141 (47.933)	lr 0.00650
Warmup Train [31][1310/2134]	Time 0.600 (0.635)	Data 0.002 (0.017)	Loss 4.2655 (4.2261)	Top-1 acc 26.953 (24.766)	Top-5 acc 46.875 (47.923)	lr 0.00649
Warmup Train [31][1320/2134]	Time 0.695 (0.635)	Data 0.002 (0.017)	Loss 4.2616 (4.2261)	Top-1 acc 27.344 (24.769)	Top-5 acc 49.609 (47.916)	lr 0.00649
Warmup Train [31][1330/2134]	Time 0.676 (0.635)	Data 0.003 (0.017)	Loss 4.1767 (4.2262)	Top-1 acc 32.422 (24.769)	Top-5 acc 47.656 (47.916)	lr 0.00648
Warmup Train [31][1340/2134]	Time 0.575 (0.635)	Data 0.002 (0.017)	Loss 4.1514 (4.2256)	Top-1 acc 29.297 (24.784)	Top-5 acc 51.172 (47.929)	lr 0.00647
Warmup Train [31][1350/2134]	Time 0.534 (0.635)	Data 0.002 (0.017)	Loss 4.3210 (4.2254)	Top-1 acc 21.094 (24.775)	Top-5 acc 47.266 (47.932)	lr 0.00647
Warmup Train [31][1360/2134]	Time 0.689 (0.634)	Data 0.007 (0.017)	Loss 4.0599 (4.2257)	Top-1 acc 28.516 (24.777)	Top-5 acc 50.391 (47.931)	lr 0.00646
Warmup Train [31][1370/2134]	Time 0.769 (0.634)	Data 0.002 (0.017)	Loss 4.2755 (4.2257)	Top-1 acc 21.094 (24.770)	Top-5 acc 46.484 (47.930)	lr 0.00645
Warmup Train [31][1380/2134]	Time 0.487 (0.634)	Data 0.002 (0.017)	Loss 4.0408 (4.2257)	Top-1 acc 25.391 (24.766)	Top-5 acc 46.875 (47.934)	lr 0.00645
Warmup Train [31][1390/2134]	Time 0.507 (0.634)	Data 0.002 (0.017)	Loss 4.2874 (4.2259)	Top-1 acc 27.344 (24.761)	Top-5 acc 48.047 (47.933)	lr 0.00644
Warmup Train [31][1400/2134]	Time 0.689 (0.633)	Data 0.003 (0.017)	Loss 4.3165 (4.2260)	Top-1 acc 19.141 (24.755)	Top-5 acc 41.406 (47.931)	lr 0.00644
Warmup Train [31][1410/2134]	Time 0.684 (0.633)	Data 0.002 (0.017)	Loss 4.0831 (4.2260)	Top-1 acc 27.734 (24.751)	Top-5 acc 50.781 (47.932)	lr 0.00643
Warmup Train [31][1420/2134]	Time 0.644 (0.633)	Data 0.002 (0.017)	Loss 4.1482 (4.2256)	Top-1 acc 28.906 (24.766)	Top-5 acc 48.828 (47.941)	lr 0.00642
Warmup Train [31][1430/2134]	Time 0.585 (0.633)	Data 0.003 (0.016)	Loss 4.2522 (4.2257)	Top-1 acc 23.438 (24.768)	Top-5 acc 46.484 (47.936)	lr 0.00642
Warmup Train [31][1440/2134]	Time 0.515 (0.633)	Data 0.002 (0.016)	Loss 4.3490 (4.2259)	Top-1 acc 25.781 (24.768)	Top-5 acc 44.141 (47.929)	lr 0.00641
Warmup Train [31][1450/2134]	Time 0.599 (0.633)	Data 0.002 (0.016)	Loss 4.3452 (4.2259)	Top-1 acc 22.656 (24.771)	Top-5 acc 45.312 (47.927)	lr 0.00640
Warmup Train [31][1460/2134]	Time 0.632 (0.632)	Data 0.002 (0.016)	Loss 4.3255 (4.2258)	Top-1 acc 20.312 (24.768)	Top-5 acc 43.750 (47.914)	lr 0.00640
Warmup Train [31][1470/2134]	Time 0.793 (0.632)	Data 0.002 (0.016)	Loss 4.0868 (4.2255)	Top-1 acc 27.734 (24.769)	Top-5 acc 53.125 (47.920)	lr 0.00639
Warmup Train [31][1480/2134]	Time 0.478 (0.632)	Data 0.002 (0.016)	Loss 4.2823 (4.2258)	Top-1 acc 24.219 (24.765)	Top-5 acc 44.141 (47.907)	lr 0.00639
Warmup Train [31][1490/2134]	Time 0.490 (0.634)	Data 0.002 (0.016)	Loss 4.1483 (4.2258)	Top-1 acc 27.344 (24.766)	Top-5 acc 48.047 (47.906)	lr 0.00638
Warmup Train [31][1500/2134]	Time 0.652 (0.634)	Data 0.002 (0.016)	Loss 4.3487 (4.2257)	Top-1 acc 23.047 (24.765)	Top-5 acc 41.406 (47.907)	lr 0.00637
Warmup Train [31][1510/2134]	Time 0.633 (0.634)	Data 0.003 (0.016)	Loss 4.2433 (4.2261)	Top-1 acc 22.656 (24.764)	Top-5 acc 50.000 (47.909)	lr 0.00637
Warmup Train [31][1520/2134]	Time 0.750 (0.634)	Data 0.002 (0.016)	Loss 4.2367 (4.2263)	Top-1 acc 22.656 (24.759)	Top-5 acc 47.266 (47.904)	lr 0.00636
Warmup Train [31][1530/2134]	Time 0.804 (0.633)	Data 0.002 (0.016)	Loss 4.2872 (4.2262)	Top-1 acc 19.141 (24.758)	Top-5 acc 48.047 (47.913)	lr 0.00636
Warmup Train [31][1540/2134]	Time 0.660 (0.633)	Data 0.002 (0.016)	Loss 4.1678 (4.2258)	Top-1 acc 21.484 (24.763)	Top-5 acc 47.656 (47.922)	lr 0.00635
Warmup Train [31][1550/2134]	Time 0.630 (0.633)	Data 0.002 (0.016)	Loss 4.1516 (4.2258)	Top-1 acc 24.609 (24.767)	Top-5 acc 48.047 (47.920)	lr 0.00634
Warmup Train [31][1560/2134]	Time 0.538 (0.633)	Data 0.002 (0.016)	Loss 4.2474 (4.2257)	Top-1 acc 24.219 (24.766)	Top-5 acc 48.438 (47.917)	lr 0.00634
Warmup Train [31][1570/2134]	Time 0.644 (0.633)	Data 0.002 (0.016)	Loss 4.0622 (4.2256)	Top-1 acc 28.906 (24.770)	Top-5 acc 52.734 (47.919)	lr 0.00633
Warmup Train [31][1580/2134]	Time 0.613 (0.632)	Data 0.002 (0.016)	Loss 4.3766 (4.2257)	Top-1 acc 24.219 (24.772)	Top-5 acc 42.578 (47.921)	lr 0.00633
Warmup Train [31][1590/2134]	Time 0.692 (0.632)	Data 0.002 (0.016)	Loss 4.0875 (4.2255)	Top-1 acc 28.516 (24.777)	Top-5 acc 51.172 (47.921)	lr 0.00632
Warmup Train [31][1600/2134]	Time 0.561 (0.632)	Data 0.002 (0.015)	Loss 4.1268 (4.2252)	Top-1 acc 25.000 (24.781)	Top-5 acc 51.562 (47.923)	lr 0.00631
Warmup Train [31][1610/2134]	Time 0.594 (0.632)	Data 0.002 (0.015)	Loss 4.3996 (4.2253)	Top-1 acc 20.703 (24.779)	Top-5 acc 45.703 (47.923)	lr 0.00631
Warmup Train [31][1620/2134]	Time 0.634 (0.632)	Data 0.003 (0.015)	Loss 4.2657 (4.2252)	Top-1 acc 27.344 (24.788)	Top-5 acc 47.266 (47.932)	lr 0.00630
Warmup Train [31][1630/2134]	Time 0.441 (0.631)	Data 0.002 (0.015)	Loss 4.2877 (4.2250)	Top-1 acc 23.438 (24.787)	Top-5 acc 44.141 (47.936)	lr 0.00629
Warmup Train [31][1640/2134]	Time 0.605 (0.631)	Data 0.002 (0.015)	Loss 4.2052 (4.2245)	Top-1 acc 26.562 (24.796)	Top-5 acc 48.047 (47.948)	lr 0.00629
Warmup Train [31][1650/2134]	Time 0.663 (0.631)	Data 0.002 (0.015)	Loss 4.3309 (4.2247)	Top-1 acc 21.094 (24.794)	Top-5 acc 43.359 (47.938)	lr 0.00628
Warmup Train [31][1660/2134]	Time 0.447 (0.631)	Data 0.002 (0.015)	Loss 4.2509 (4.2243)	Top-1 acc 23.047 (24.798)	Top-5 acc 46.094 (47.953)	lr 0.00628
Warmup Train [31][1670/2134]	Time 0.684 (0.631)	Data 0.002 (0.015)	Loss 4.2758 (4.2242)	Top-1 acc 21.484 (24.798)	Top-5 acc 47.266 (47.958)	lr 0.00627
Warmup Train [31][1680/2134]	Time 0.551 (0.631)	Data 0.002 (0.015)	Loss 4.3808 (4.2242)	Top-1 acc 21.484 (24.798)	Top-5 acc 48.047 (47.962)	lr 0.00626
Warmup Train [31][1690/2134]	Time 0.714 (0.631)	Data 0.002 (0.015)	Loss 4.1048 (4.2240)	Top-1 acc 28.125 (24.797)	Top-5 acc 49.219 (47.960)	lr 0.00626
Warmup Train [31][1700/2134]	Time 0.529 (0.631)	Data 0.002 (0.015)	Loss 4.5115 (4.2242)	Top-1 acc 21.094 (24.789)	Top-5 acc 41.016 (47.953)	lr 0.00625
Warmup Train [31][1710/2134]	Time 0.705 (0.631)	Data 0.002 (0.015)	Loss 4.2051 (4.2243)	Top-1 acc 27.344 (24.787)	Top-5 acc 48.828 (47.952)	lr 0.00625
Warmup Train [31][1720/2134]	Time 0.617 (0.630)	Data 0.002 (0.015)	Loss 4.1477 (4.2244)	Top-1 acc 29.688 (24.789)	Top-5 acc 48.828 (47.950)	lr 0.00624
Warmup Train [31][1730/2134]	Time 0.584 (0.630)	Data 0.002 (0.015)	Loss 4.1095 (4.2244)	Top-1 acc 27.344 (24.790)	Top-5 acc 54.297 (47.950)	lr 0.00623
Warmup Train [31][1740/2134]	Time 0.777 (0.630)	Data 0.002 (0.015)	Loss 4.1611 (4.2243)	Top-1 acc 28.125 (24.794)	Top-5 acc 51.953 (47.954)	lr 0.00623
Warmup Train [31][1750/2134]	Time 0.616 (0.630)	Data 0.002 (0.015)	Loss 4.2633 (4.2244)	Top-1 acc 25.391 (24.801)	Top-5 acc 46.094 (47.955)	lr 0.00622
Warmup Train [31][1760/2134]	Time 0.741 (0.630)	Data 0.002 (0.015)	Loss 4.3825 (4.2244)	Top-1 acc 24.219 (24.800)	Top-5 acc 43.750 (47.955)	lr 0.00622
Warmup Train [31][1770/2134]	Time 0.706 (0.630)	Data 0.002 (0.015)	Loss 4.1619 (4.2242)	Top-1 acc 26.562 (24.805)	Top-5 acc 50.391 (47.962)	lr 0.00621
Warmup Train [31][1780/2134]	Time 0.771 (0.630)	Data 0.002 (0.015)	Loss 4.2713 (4.2242)	Top-1 acc 25.781 (24.806)	Top-5 acc 44.531 (47.960)	lr 0.00620
Warmup Train [31][1790/2134]	Time 0.518 (0.631)	Data 0.002 (0.015)	Loss 4.1684 (4.2241)	Top-1 acc 22.656 (24.803)	Top-5 acc 44.531 (47.958)	lr 0.00620
Warmup Train [31][1800/2134]	Time 0.605 (0.631)	Data 0.002 (0.015)	Loss 4.1274 (4.2240)	Top-1 acc 26.562 (24.805)	Top-5 acc 50.391 (47.965)	lr 0.00619
Warmup Train [31][1810/2134]	Time 0.741 (0.631)	Data 0.002 (0.015)	Loss 4.1032 (4.2238)	Top-1 acc 26.562 (24.805)	Top-5 acc 54.297 (47.972)	lr 0.00619
Warmup Train [31][1820/2134]	Time 0.596 (0.631)	Data 0.002 (0.015)	Loss 4.1665 (4.2239)	Top-1 acc 23.438 (24.802)	Top-5 acc 51.172 (47.968)	lr 0.00618
Warmup Train [31][1830/2134]	Time 0.699 (0.631)	Data 0.004 (0.015)	Loss 4.0857 (4.2238)	Top-1 acc 26.953 (24.806)	Top-5 acc 49.219 (47.966)	lr 0.00617
Warmup Train [31][1840/2134]	Time 0.742 (0.631)	Data 0.002 (0.014)	Loss 4.3547 (4.2241)	Top-1 acc 21.875 (24.797)	Top-5 acc 45.703 (47.961)	lr 0.00617
Warmup Train [31][1850/2134]	Time 0.564 (0.630)	Data 0.002 (0.014)	Loss 4.3109 (4.2241)	Top-1 acc 23.438 (24.794)	Top-5 acc 46.094 (47.964)	lr 0.00616
Warmup Train [31][1860/2134]	Time 0.532 (0.630)	Data 0.002 (0.014)	Loss 4.2764 (4.2241)	Top-1 acc 20.703 (24.792)	Top-5 acc 50.000 (47.968)	lr 0.00616
Warmup Train [31][1870/2134]	Time 0.659 (0.630)	Data 0.005 (0.014)	Loss 4.2504 (4.2241)	Top-1 acc 24.219 (24.792)	Top-5 acc 48.828 (47.970)	lr 0.00615
Warmup Train [31][1880/2134]	Time 0.738 (0.630)	Data 0.002 (0.014)	Loss 4.1211 (4.2242)	Top-1 acc 30.469 (24.795)	Top-5 acc 50.000 (47.969)	lr 0.00614
Warmup Train [31][1890/2134]	Time 0.605 (0.630)	Data 0.004 (0.014)	Loss 4.2188 (4.2238)	Top-1 acc 27.344 (24.797)	Top-5 acc 45.703 (47.975)	lr 0.00614
Warmup Train [31][1900/2134]	Time 0.570 (0.630)	Data 0.002 (0.014)	Loss 4.2863 (4.2240)	Top-1 acc 25.781 (24.790)	Top-5 acc 45.312 (47.970)	lr 0.00613
Warmup Train [31][1910/2134]	Time 0.632 (0.630)	Data 0.003 (0.014)	Loss 4.1391 (4.2238)	Top-1 acc 28.906 (24.785)	Top-5 acc 50.391 (47.975)	lr 0.00612
Warmup Train [31][1920/2134]	Time 0.708 (0.629)	Data 0.004 (0.014)	Loss 4.2519 (4.2240)	Top-1 acc 22.656 (24.782)	Top-5 acc 46.484 (47.969)	lr 0.00612
Warmup Train [31][1930/2134]	Time 0.627 (0.629)	Data 0.002 (0.014)	Loss 4.3164 (4.2239)	Top-1 acc 25.391 (24.785)	Top-5 acc 46.875 (47.973)	lr 0.00611
Warmup Train [31][1940/2134]	Time 0.406 (0.629)	Data 0.002 (0.014)	Loss 4.4328 (4.2237)	Top-1 acc 17.969 (24.788)	Top-5 acc 41.797 (47.975)	lr 0.00611
Warmup Train [31][1950/2134]	Time 0.803 (0.629)	Data 0.002 (0.014)	Loss 4.3504 (4.2240)	Top-1 acc 22.266 (24.780)	Top-5 acc 45.312 (47.968)	lr 0.00610
Warmup Train [31][1960/2134]	Time 0.727 (0.629)	Data 0.002 (0.014)	Loss 4.0963 (4.2242)	Top-1 acc 28.906 (24.783)	Top-5 acc 53.516 (47.971)	lr 0.00609
Warmup Train [31][1970/2134]	Time 0.597 (0.629)	Data 0.002 (0.014)	Loss 4.1607 (4.2241)	Top-1 acc 27.344 (24.788)	Top-5 acc 51.953 (47.971)	lr 0.00609
Warmup Train [31][1980/2134]	Time 0.681 (0.629)	Data 0.002 (0.014)	Loss 4.1506 (4.2242)	Top-1 acc 28.906 (24.786)	Top-5 acc 47.266 (47.966)	lr 0.00608
Warmup Train [31][1990/2134]	Time 0.566 (0.629)	Data 0.002 (0.014)	Loss 4.1100 (4.2243)	Top-1 acc 30.859 (24.787)	Top-5 acc 48.438 (47.969)	lr 0.00608
Warmup Train [31][2000/2134]	Time 0.701 (0.629)	Data 0.004 (0.014)	Loss 4.2283 (4.2240)	Top-1 acc 25.781 (24.796)	Top-5 acc 51.172 (47.979)	lr 0.00607
Warmup Train [31][2010/2134]	Time 0.632 (0.629)	Data 0.003 (0.014)	Loss 4.0670 (4.2238)	Top-1 acc 28.516 (24.797)	Top-5 acc 49.609 (47.981)	lr 0.00606
Warmup Train [31][2020/2134]	Time 0.662 (0.629)	Data 0.002 (0.014)	Loss 4.0952 (4.2238)	Top-1 acc 26.562 (24.802)	Top-5 acc 49.219 (47.978)	lr 0.00606
Warmup Train [31][2030/2134]	Time 0.551 (0.628)	Data 0.002 (0.014)	Loss 4.2605 (4.2238)	Top-1 acc 25.000 (24.801)	Top-5 acc 47.266 (47.977)	lr 0.00605
Warmup Train [31][2040/2134]	Time 0.453 (0.628)	Data 0.002 (0.014)	Loss 4.1541 (4.2236)	Top-1 acc 25.781 (24.797)	Top-5 acc 48.828 (47.980)	lr 0.00605
Warmup Train [31][2050/2134]	Time 0.456 (0.628)	Data 0.005 (0.014)	Loss 4.1390 (4.2235)	Top-1 acc 26.172 (24.798)	Top-5 acc 50.000 (47.981)	lr 0.00604
Warmup Train [31][2060/2134]	Time 0.604 (0.628)	Data 0.003 (0.014)	Loss 4.3579 (4.2231)	Top-1 acc 20.312 (24.805)	Top-5 acc 43.750 (47.989)	lr 0.00603
Warmup Train [31][2070/2134]	Time 0.552 (0.628)	Data 0.002 (0.014)	Loss 3.9973 (4.2227)	Top-1 acc 28.125 (24.815)	Top-5 acc 51.172 (47.996)	lr 0.00603
Warmup Train [31][2080/2134]	Time 0.612 (0.628)	Data 0.000 (0.014)	Loss 4.2289 (4.2228)	Top-1 acc 23.828 (24.815)	Top-5 acc 49.219 (47.994)	lr 0.00602
Warmup Train [31][2090/2134]	Time 0.594 (0.628)	Data 0.000 (0.014)	Loss 4.4915 (4.2230)	Top-1 acc 24.219 (24.820)	Top-5 acc 44.141 (47.994)	lr 0.00602
Warmup Train [31][2100/2134]	Time 0.451 (0.629)	Data 0.000 (0.014)	Loss 4.2043 (4.2230)	Top-1 acc 25.000 (24.822)	Top-5 acc 45.703 (47.995)	lr 0.00601
Warmup Train [31][2110/2134]	Time 0.551 (0.629)	Data 0.000 (0.014)	Loss 4.1482 (4.2230)	Top-1 acc 29.297 (24.823)	Top-5 acc 49.609 (47.993)	lr 0.00600
Warmup Train [31][2120/2134]	Time 0.659 (0.628)	Data 0.000 (0.014)	Loss 4.1720 (4.2228)	Top-1 acc 26.172 (24.828)	Top-5 acc 49.219 (48.000)	lr 0.00600
Warmup Train [31][2130/2134]	Time 0.754 (0.628)	Data 0.000 (0.014)	Loss 4.3280 (4.2228)	Top-1 acc 20.703 (24.825)	Top-5 acc 45.312 (47.994)	lr 0.00599
Warmup Train [31][2134/2134]	Time 0.559 (0.628)	Data 0.000 (0.013)	Loss 4.1559 (4.2228)	Top-1 acc 24.064 (24.825)	Top-5 acc 51.337 (47.993)	lr 0.00599
==========Warmup Valid [31/40]	loss 3.231	top-1 acc 32.167	top-5 acc 57.824	Train top-1 24.825	top-5 47.993	flops: 442.4M
Warmup Train [32][0/2134]	Time 12.521 (12.521)	Data 11.067 (11.067)	Loss 4.3675 (4.3675)	Top-1 acc 23.438 (23.438)	Top-5 acc 41.797 (41.797)	lr 0.00599
Warmup Train [32][10/2134]	Time 0.908 (1.873)	Data 0.002 (1.012)	Loss 4.3105 (4.2248)	Top-1 acc 26.953 (25.462)	Top-5 acc 46.875 (47.656)	lr 0.00598
Warmup Train [32][20/2134]	Time 0.591 (1.288)	Data 0.004 (0.532)	Loss 4.3015 (4.2133)	Top-1 acc 23.438 (25.279)	Top-5 acc 44.141 (47.861)	lr 0.00598
Warmup Train [32][30/2134]	Time 0.628 (1.067)	Data 0.002 (0.363)	Loss 4.3478 (4.2221)	Top-1 acc 23.047 (25.265)	Top-5 acc 44.922 (47.757)	lr 0.00597
Warmup Train [32][40/2134]	Time 0.687 (0.948)	Data 0.003 (0.275)	Loss 4.0438 (4.2282)	Top-1 acc 26.562 (25.229)	Top-5 acc 52.734 (47.809)	lr 0.00597
Warmup Train [32][50/2134]	Time 0.839 (0.883)	Data 0.002 (0.222)	Loss 4.1998 (4.2319)	Top-1 acc 25.000 (25.260)	Top-5 acc 46.875 (47.741)	lr 0.00596
Warmup Train [32][60/2134]	Time 0.627 (0.842)	Data 0.003 (0.186)	Loss 4.1731 (4.2277)	Top-1 acc 28.125 (25.333)	Top-5 acc 51.562 (47.880)	lr 0.00595
Warmup Train [32][70/2134]	Time 0.682 (0.811)	Data 0.002 (0.160)	Loss 4.2927 (4.2221)	Top-1 acc 21.875 (25.204)	Top-5 acc 46.094 (48.135)	lr 0.00595
Warmup Train [32][80/2134]	Time 0.562 (0.785)	Data 0.002 (0.141)	Loss 4.2515 (4.2249)	Top-1 acc 24.609 (25.101)	Top-5 acc 49.609 (48.057)	lr 0.00594
Warmup Train [32][90/2134]	Time 0.691 (0.767)	Data 0.002 (0.126)	Loss 4.4893 (4.2279)	Top-1 acc 17.578 (25.030)	Top-5 acc 38.672 (47.952)	lr 0.00594
Warmup Train [32][100/2134]	Time 0.514 (0.752)	Data 0.002 (0.115)	Loss 4.1758 (4.2212)	Top-1 acc 25.781 (25.131)	Top-5 acc 49.219 (48.136)	lr 0.00593
Warmup Train [32][110/2134]	Time 0.645 (0.743)	Data 0.003 (0.106)	Loss 4.1160 (4.2202)	Top-1 acc 24.219 (25.130)	Top-5 acc 48.438 (48.195)	lr 0.00592
Warmup Train [32][120/2134]	Time 0.496 (0.732)	Data 0.002 (0.097)	Loss 4.2767 (4.2183)	Top-1 acc 25.000 (25.187)	Top-5 acc 45.703 (48.221)	lr 0.00592
Warmup Train [32][130/2134]	Time 0.657 (0.723)	Data 0.002 (0.091)	Loss 4.1524 (4.2211)	Top-1 acc 20.312 (25.134)	Top-5 acc 48.438 (48.127)	lr 0.00591
Warmup Train [32][140/2134]	Time 0.467 (0.715)	Data 0.003 (0.085)	Loss 4.2040 (4.2183)	Top-1 acc 24.219 (25.158)	Top-5 acc 48.828 (48.166)	lr 0.00591
Warmup Train [32][150/2134]	Time 0.701 (0.709)	Data 0.002 (0.080)	Loss 4.2310 (4.2184)	Top-1 acc 25.781 (25.199)	Top-5 acc 48.828 (48.194)	lr 0.00590
Warmup Train [32][160/2134]	Time 0.647 (0.703)	Data 0.002 (0.075)	Loss 4.3762 (4.2190)	Top-1 acc 25.000 (25.153)	Top-5 acc 43.750 (48.166)	lr 0.00589
Warmup Train [32][170/2134]	Time 0.604 (0.698)	Data 0.002 (0.071)	Loss 4.1539 (4.2216)	Top-1 acc 28.125 (25.082)	Top-5 acc 52.734 (48.143)	lr 0.00589
Warmup Train [32][180/2134]	Time 0.611 (0.693)	Data 0.003 (0.068)	Loss 4.3181 (4.2248)	Top-1 acc 22.266 (25.017)	Top-5 acc 48.828 (48.142)	lr 0.00588
Warmup Train [32][190/2134]	Time 0.518 (0.689)	Data 0.003 (0.064)	Loss 4.0918 (4.2227)	Top-1 acc 31.641 (25.004)	Top-5 acc 50.781 (48.194)	lr 0.00588
Warmup Train [32][200/2134]	Time 0.623 (0.685)	Data 0.002 (0.062)	Loss 4.1324 (4.2203)	Top-1 acc 24.219 (25.010)	Top-5 acc 53.516 (48.270)	lr 0.00587
Warmup Train [32][210/2134]	Time 0.561 (0.682)	Data 0.003 (0.059)	Loss 4.4027 (4.2198)	Top-1 acc 19.922 (25.044)	Top-5 acc 43.750 (48.243)	lr 0.00586
Warmup Train [32][220/2134]	Time 0.728 (0.680)	Data 0.002 (0.057)	Loss 4.2097 (4.2173)	Top-1 acc 26.562 (25.076)	Top-5 acc 45.703 (48.277)	lr 0.00586
Warmup Train [32][230/2134]	Time 0.738 (0.695)	Data 0.005 (0.054)	Loss 4.3927 (4.2187)	Top-1 acc 19.922 (25.015)	Top-5 acc 44.141 (48.238)	lr 0.00585
Warmup Train [32][240/2134]	Time 0.615 (0.692)	Data 0.002 (0.052)	Loss 4.2793 (4.2176)	Top-1 acc 22.656 (25.024)	Top-5 acc 48.828 (48.212)	lr 0.00585
Warmup Train [32][250/2134]	Time 0.615 (0.690)	Data 0.002 (0.050)	Loss 4.1478 (4.2171)	Top-1 acc 27.734 (25.006)	Top-5 acc 44.531 (48.168)	lr 0.00584
Warmup Train [32][260/2134]	Time 0.748 (0.688)	Data 0.003 (0.048)	Loss 4.2931 (4.2174)	Top-1 acc 24.609 (25.036)	Top-5 acc 46.094 (48.146)	lr 0.00584
Warmup Train [32][270/2134]	Time 0.496 (0.685)	Data 0.004 (0.047)	Loss 4.1046 (4.2161)	Top-1 acc 26.172 (25.105)	Top-5 acc 48.438 (48.188)	lr 0.00583
Warmup Train [32][280/2134]	Time 0.631 (0.684)	Data 0.002 (0.046)	Loss 4.0307 (4.2153)	Top-1 acc 29.688 (25.136)	Top-5 acc 52.344 (48.191)	lr 0.00582
Warmup Train [32][290/2134]	Time 0.577 (0.681)	Data 0.002 (0.044)	Loss 4.1461 (4.2163)	Top-1 acc 26.562 (25.123)	Top-5 acc 50.000 (48.164)	lr 0.00582
Warmup Train [32][300/2134]	Time 0.643 (0.679)	Data 0.002 (0.043)	Loss 4.4768 (4.2148)	Top-1 acc 19.922 (25.154)	Top-5 acc 42.188 (48.160)	lr 0.00581
Warmup Train [32][310/2134]	Time 0.632 (0.677)	Data 0.002 (0.042)	Loss 4.3129 (4.2146)	Top-1 acc 21.875 (25.141)	Top-5 acc 46.875 (48.184)	lr 0.00581
Warmup Train [32][320/2134]	Time 0.466 (0.675)	Data 0.004 (0.041)	Loss 4.4143 (4.2135)	Top-1 acc 23.438 (25.152)	Top-5 acc 42.969 (48.209)	lr 0.00580
Warmup Train [32][330/2134]	Time 0.684 (0.673)	Data 0.002 (0.040)	Loss 4.2274 (4.2129)	Top-1 acc 27.344 (25.172)	Top-5 acc 49.609 (48.276)	lr 0.00579
Warmup Train [32][340/2134]	Time 0.527 (0.671)	Data 0.002 (0.039)	Loss 4.4223 (4.2138)	Top-1 acc 18.359 (25.108)	Top-5 acc 41.406 (48.263)	lr 0.00579
Warmup Train [32][350/2134]	Time 0.502 (0.669)	Data 0.002 (0.038)	Loss 4.2830 (4.2139)	Top-1 acc 24.219 (25.118)	Top-5 acc 45.312 (48.256)	lr 0.00578
Warmup Train [32][360/2134]	Time 0.588 (0.668)	Data 0.002 (0.037)	Loss 4.3858 (4.2134)	Top-1 acc 23.828 (25.113)	Top-5 acc 47.656 (48.264)	lr 0.00578
Warmup Train [32][370/2134]	Time 0.720 (0.668)	Data 0.004 (0.037)	Loss 4.1940 (4.2125)	Top-1 acc 27.734 (25.119)	Top-5 acc 48.828 (48.294)	lr 0.00577
Warmup Train [32][380/2134]	Time 0.758 (0.666)	Data 0.002 (0.036)	Loss 4.2072 (4.2118)	Top-1 acc 25.000 (25.090)	Top-5 acc 50.000 (48.321)	lr 0.00576
Warmup Train [32][390/2134]	Time 0.695 (0.664)	Data 0.002 (0.035)	Loss 4.2177 (4.2106)	Top-1 acc 24.609 (25.108)	Top-5 acc 48.047 (48.333)	lr 0.00576
Warmup Train [32][400/2134]	Time 0.573 (0.663)	Data 0.002 (0.034)	Loss 4.3407 (4.2107)	Top-1 acc 22.656 (25.077)	Top-5 acc 43.359 (48.310)	lr 0.00575
Warmup Train [32][410/2134]	Time 0.646 (0.661)	Data 0.002 (0.033)	Loss 4.2686 (4.2125)	Top-1 acc 19.922 (25.000)	Top-5 acc 50.000 (48.279)	lr 0.00575
Warmup Train [32][420/2134]	Time 0.619 (0.660)	Data 0.002 (0.033)	Loss 4.1867 (4.2111)	Top-1 acc 23.828 (25.001)	Top-5 acc 48.047 (48.332)	lr 0.00574
Warmup Train [32][430/2134]	Time 0.744 (0.658)	Data 0.002 (0.032)	Loss 4.2300 (4.2104)	Top-1 acc 23.438 (25.012)	Top-5 acc 47.266 (48.315)	lr 0.00574
Warmup Train [32][440/2134]	Time 0.650 (0.658)	Data 0.005 (0.031)	Loss 4.4787 (4.2103)	Top-1 acc 21.094 (25.039)	Top-5 acc 44.531 (48.325)	lr 0.00573
Warmup Train [32][450/2134]	Time 0.641 (0.657)	Data 0.002 (0.031)	Loss 4.2078 (4.2109)	Top-1 acc 24.219 (25.023)	Top-5 acc 49.219 (48.302)	lr 0.00572
Warmup Train [32][460/2134]	Time 0.753 (0.656)	Data 0.003 (0.030)	Loss 4.1952 (4.2112)	Top-1 acc 26.953 (25.025)	Top-5 acc 51.562 (48.319)	lr 0.00572
Warmup Train [32][470/2134]	Time 0.627 (0.656)	Data 0.002 (0.030)	Loss 4.1739 (4.2108)	Top-1 acc 26.172 (25.046)	Top-5 acc 48.047 (48.307)	lr 0.00571
Warmup Train [32][480/2134]	Time 0.620 (0.655)	Data 0.002 (0.029)	Loss 4.2858 (4.2107)	Top-1 acc 21.094 (25.063)	Top-5 acc 45.312 (48.305)	lr 0.00571
Warmup Train [32][490/2134]	Time 0.697 (0.654)	Data 0.002 (0.029)	Loss 4.1773 (4.2093)	Top-1 acc 23.828 (25.088)	Top-5 acc 50.391 (48.332)	lr 0.00570
Warmup Train [32][500/2134]	Time 0.693 (0.653)	Data 0.004 (0.028)	Loss 4.0674 (4.2085)	Top-1 acc 30.078 (25.101)	Top-5 acc 53.125 (48.354)	lr 0.00569
Warmup Train [32][510/2134]	Time 0.497 (0.652)	Data 0.002 (0.028)	Loss 4.2939 (4.2088)	Top-1 acc 21.875 (25.099)	Top-5 acc 42.578 (48.353)	lr 0.00569
Warmup Train [32][520/2134]	Time 0.606 (0.652)	Data 0.003 (0.028)	Loss 4.1364 (4.2083)	Top-1 acc 28.906 (25.087)	Top-5 acc 49.219 (48.373)	lr 0.00568
Warmup Train [32][530/2134]	Time 0.614 (0.652)	Data 0.029 (0.027)	Loss 4.3033 (4.2077)	Top-1 acc 28.125 (25.114)	Top-5 acc 47.266 (48.402)	lr 0.00568
Warmup Train [32][540/2134]	Time 0.499 (0.657)	Data 0.002 (0.027)	Loss 4.2649 (4.2076)	Top-1 acc 22.656 (25.124)	Top-5 acc 48.828 (48.405)	lr 0.00567
Warmup Train [32][550/2134]	Time 0.528 (0.657)	Data 0.002 (0.027)	Loss 4.2170 (4.2075)	Top-1 acc 23.047 (25.114)	Top-5 acc 48.828 (48.411)	lr 0.00567
Warmup Train [32][560/2134]	Time 0.623 (0.656)	Data 0.003 (0.026)	Loss 4.1279 (4.2070)	Top-1 acc 27.734 (25.134)	Top-5 acc 53.516 (48.419)	lr 0.00566
Warmup Train [32][570/2134]	Time 0.673 (0.654)	Data 0.002 (0.026)	Loss 4.4307 (4.2074)	Top-1 acc 21.094 (25.118)	Top-5 acc 42.578 (48.417)	lr 0.00565
Warmup Train [32][580/2134]	Time 0.602 (0.654)	Data 0.002 (0.025)	Loss 3.9554 (4.2065)	Top-1 acc 30.859 (25.116)	Top-5 acc 53.125 (48.428)	lr 0.00565
Warmup Train [32][590/2134]	Time 0.555 (0.653)	Data 0.002 (0.025)	Loss 4.3266 (4.2068)	Top-1 acc 24.609 (25.108)	Top-5 acc 45.703 (48.408)	lr 0.00564
Warmup Train [32][600/2134]	Time 0.702 (0.653)	Data 0.002 (0.025)	Loss 4.2192 (4.2065)	Top-1 acc 22.656 (25.105)	Top-5 acc 46.094 (48.416)	lr 0.00564
Warmup Train [32][610/2134]	Time 0.739 (0.652)	Data 0.002 (0.025)	Loss 4.2452 (4.2075)	Top-1 acc 21.484 (25.082)	Top-5 acc 48.047 (48.384)	lr 0.00563
Warmup Train [32][620/2134]	Time 0.607 (0.651)	Data 0.003 (0.024)	Loss 4.1872 (4.2076)	Top-1 acc 25.781 (25.074)	Top-5 acc 47.656 (48.383)	lr 0.00562
Warmup Train [32][630/2134]	Time 0.646 (0.651)	Data 0.002 (0.024)	Loss 4.1605 (4.2073)	Top-1 acc 23.828 (25.079)	Top-5 acc 47.656 (48.403)	lr 0.00562
Warmup Train [32][640/2134]	Time 0.640 (0.651)	Data 0.003 (0.024)	Loss 4.1464 (4.2069)	Top-1 acc 25.391 (25.085)	Top-5 acc 53.906 (48.416)	lr 0.00561
Warmup Train [32][650/2134]	Time 0.613 (0.650)	Data 0.002 (0.023)	Loss 4.1628 (4.2068)	Top-1 acc 24.609 (25.078)	Top-5 acc 51.953 (48.431)	lr 0.00561
Warmup Train [32][660/2134]	Time 0.662 (0.650)	Data 0.002 (0.023)	Loss 4.1990 (4.2074)	Top-1 acc 27.734 (25.057)	Top-5 acc 49.219 (48.416)	lr 0.00560
Warmup Train [32][670/2134]	Time 0.520 (0.649)	Data 0.002 (0.023)	Loss 4.3427 (4.2077)	Top-1 acc 22.266 (25.063)	Top-5 acc 50.000 (48.444)	lr 0.00560
Warmup Train [32][680/2134]	Time 0.553 (0.649)	Data 0.002 (0.023)	Loss 4.1073 (4.2078)	Top-1 acc 25.391 (25.069)	Top-5 acc 49.219 (48.439)	lr 0.00559
Warmup Train [32][690/2134]	Time 0.694 (0.648)	Data 0.004 (0.023)	Loss 4.2261 (4.2080)	Top-1 acc 29.297 (25.062)	Top-5 acc 47.266 (48.424)	lr 0.00558
Warmup Train [32][700/2134]	Time 0.546 (0.648)	Data 0.003 (0.022)	Loss 4.2467 (4.2083)	Top-1 acc 27.734 (25.075)	Top-5 acc 50.391 (48.425)	lr 0.00558
Warmup Train [32][710/2134]	Time 0.545 (0.647)	Data 0.005 (0.022)	Loss 4.1351 (4.2083)	Top-1 acc 28.906 (25.082)	Top-5 acc 49.219 (48.420)	lr 0.00557
Warmup Train [32][720/2134]	Time 0.775 (0.647)	Data 0.002 (0.022)	Loss 4.2818 (4.2087)	Top-1 acc 25.781 (25.081)	Top-5 acc 47.656 (48.408)	lr 0.00557
Warmup Train [32][730/2134]	Time 0.653 (0.646)	Data 0.002 (0.022)	Loss 4.1756 (4.2084)	Top-1 acc 25.391 (25.076)	Top-5 acc 50.000 (48.415)	lr 0.00556
Warmup Train [32][740/2134]	Time 0.639 (0.646)	Data 0.002 (0.022)	Loss 4.1972 (4.2078)	Top-1 acc 25.781 (25.090)	Top-5 acc 46.094 (48.438)	lr 0.00555
Warmup Train [32][750/2134]	Time 0.588 (0.645)	Data 0.003 (0.021)	Loss 4.1076 (4.2073)	Top-1 acc 29.297 (25.089)	Top-5 acc 49.609 (48.446)	lr 0.00555
Warmup Train [32][760/2134]	Time 0.726 (0.645)	Data 0.002 (0.021)	Loss 4.0580 (4.2073)	Top-1 acc 26.562 (25.092)	Top-5 acc 52.344 (48.450)	lr 0.00554
Warmup Train [32][770/2134]	Time 0.589 (0.644)	Data 0.003 (0.021)	Loss 4.0708 (4.2075)	Top-1 acc 25.391 (25.093)	Top-5 acc 49.609 (48.457)	lr 0.00554
Warmup Train [32][780/2134]	Time 0.702 (0.644)	Data 0.003 (0.021)	Loss 4.1051 (4.2076)	Top-1 acc 24.609 (25.093)	Top-5 acc 50.781 (48.455)	lr 0.00553
Warmup Train [32][790/2134]	Time 0.692 (0.644)	Data 0.002 (0.020)	Loss 4.2180 (4.2071)	Top-1 acc 22.656 (25.105)	Top-5 acc 49.219 (48.468)	lr 0.00553
Warmup Train [32][800/2134]	Time 0.623 (0.643)	Data 0.003 (0.020)	Loss 4.3567 (4.2070)	Top-1 acc 20.703 (25.104)	Top-5 acc 44.141 (48.467)	lr 0.00552
Warmup Train [32][810/2134]	Time 0.544 (0.642)	Data 0.002 (0.020)	Loss 4.0908 (4.2064)	Top-1 acc 26.953 (25.104)	Top-5 acc 53.125 (48.480)	lr 0.00551
Warmup Train [32][820/2134]	Time 0.652 (0.642)	Data 0.002 (0.020)	Loss 4.1509 (4.2063)	Top-1 acc 26.172 (25.106)	Top-5 acc 48.047 (48.473)	lr 0.00551
Warmup Train [32][830/2134]	Time 0.647 (0.642)	Data 0.002 (0.020)	Loss 4.2142 (4.2056)	Top-1 acc 24.219 (25.125)	Top-5 acc 46.875 (48.483)	lr 0.00550
Warmup Train [32][840/2134]	Time 0.672 (0.646)	Data 0.002 (0.020)	Loss 4.3134 (4.2055)	Top-1 acc 26.172 (25.116)	Top-5 acc 46.094 (48.478)	lr 0.00550
Warmup Train [32][850/2134]	Time 0.640 (0.645)	Data 0.002 (0.020)	Loss 4.1360 (4.2053)	Top-1 acc 25.391 (25.116)	Top-5 acc 50.391 (48.489)	lr 0.00549
Warmup Train [32][860/2134]	Time 0.594 (0.645)	Data 0.002 (0.019)	Loss 4.1747 (4.2051)	Top-1 acc 22.266 (25.112)	Top-5 acc 48.047 (48.499)	lr 0.00549
Warmup Train [32][870/2134]	Time 0.751 (0.645)	Data 0.005 (0.019)	Loss 4.1973 (4.2051)	Top-1 acc 25.781 (25.117)	Top-5 acc 49.609 (48.504)	lr 0.00548
Warmup Train [32][880/2134]	Time 0.485 (0.645)	Data 0.002 (0.019)	Loss 4.2117 (4.2051)	Top-1 acc 22.656 (25.108)	Top-5 acc 50.000 (48.500)	lr 0.00547
Warmup Train [32][890/2134]	Time 0.585 (0.644)	Data 0.002 (0.019)	Loss 4.1455 (4.2047)	Top-1 acc 28.125 (25.126)	Top-5 acc 53.516 (48.509)	lr 0.00547
Warmup Train [32][900/2134]	Time 0.617 (0.644)	Data 0.004 (0.019)	Loss 4.2586 (4.2046)	Top-1 acc 25.000 (25.126)	Top-5 acc 48.047 (48.509)	lr 0.00546
Warmup Train [32][910/2134]	Time 0.723 (0.644)	Data 0.002 (0.019)	Loss 4.1444 (4.2048)	Top-1 acc 24.609 (25.122)	Top-5 acc 50.781 (48.505)	lr 0.00546
Warmup Train [32][920/2134]	Time 0.753 (0.643)	Data 0.003 (0.019)	Loss 4.2455 (4.2049)	Top-1 acc 23.828 (25.120)	Top-5 acc 44.922 (48.493)	lr 0.00545
Warmup Train [32][930/2134]	Time 0.693 (0.643)	Data 0.002 (0.019)	Loss 4.0296 (4.2048)	Top-1 acc 25.781 (25.121)	Top-5 acc 52.344 (48.484)	lr 0.00545
Warmup Train [32][940/2134]	Time 0.540 (0.642)	Data 0.002 (0.018)	Loss 4.1739 (4.2048)	Top-1 acc 25.391 (25.108)	Top-5 acc 48.828 (48.487)	lr 0.00544
Warmup Train [32][950/2134]	Time 0.554 (0.642)	Data 0.002 (0.018)	Loss 4.3062 (4.2055)	Top-1 acc 21.875 (25.101)	Top-5 acc 46.094 (48.475)	lr 0.00543
Warmup Train [32][960/2134]	Time 0.624 (0.641)	Data 0.002 (0.018)	Loss 4.2246 (4.2061)	Top-1 acc 22.266 (25.097)	Top-5 acc 49.219 (48.463)	lr 0.00543
Warmup Train [32][970/2134]	Time 0.706 (0.641)	Data 0.002 (0.018)	Loss 4.0465 (4.2066)	Top-1 acc 26.953 (25.089)	Top-5 acc 50.391 (48.450)	lr 0.00542
Warmup Train [32][980/2134]	Time 0.612 (0.641)	Data 0.002 (0.018)	Loss 4.2968 (4.2060)	Top-1 acc 24.219 (25.099)	Top-5 acc 48.828 (48.463)	lr 0.00542
Warmup Train [32][990/2134]	Time 0.642 (0.640)	Data 0.003 (0.018)	Loss 4.2971 (4.2059)	Top-1 acc 26.562 (25.100)	Top-5 acc 45.312 (48.465)	lr 0.00541
Warmup Train [32][1000/2134]	Time 0.552 (0.640)	Data 0.002 (0.018)	Loss 4.1027 (4.2052)	Top-1 acc 25.000 (25.103)	Top-5 acc 50.391 (48.469)	lr 0.00541
Warmup Train [32][1010/2134]	Time 0.612 (0.640)	Data 0.002 (0.018)	Loss 4.2867 (4.2053)	Top-1 acc 21.094 (25.102)	Top-5 acc 44.531 (48.459)	lr 0.00540
Warmup Train [32][1020/2134]	Time 0.758 (0.640)	Data 0.004 (0.018)	Loss 4.2551 (4.2055)	Top-1 acc 25.391 (25.101)	Top-5 acc 46.484 (48.461)	lr 0.00539
Warmup Train [32][1030/2134]	Time 0.561 (0.640)	Data 0.002 (0.018)	Loss 4.2206 (4.2049)	Top-1 acc 28.516 (25.103)	Top-5 acc 47.656 (48.477)	lr 0.00539
Warmup Train [32][1040/2134]	Time 0.620 (0.640)	Data 0.002 (0.018)	Loss 4.2776 (4.2051)	Top-1 acc 21.875 (25.099)	Top-5 acc 45.703 (48.469)	lr 0.00538
Warmup Train [32][1050/2134]	Time 0.647 (0.639)	Data 0.002 (0.017)	Loss 4.0480 (4.2051)	Top-1 acc 25.781 (25.098)	Top-5 acc 53.125 (48.472)	lr 0.00538
Warmup Train [32][1060/2134]	Time 0.626 (0.639)	Data 0.002 (0.017)	Loss 4.1445 (4.2051)	Top-1 acc 26.953 (25.103)	Top-5 acc 51.562 (48.464)	lr 0.00537
Warmup Train [32][1070/2134]	Time 0.606 (0.639)	Data 0.003 (0.017)	Loss 4.0367 (4.2050)	Top-1 acc 26.562 (25.114)	Top-5 acc 51.562 (48.469)	lr 0.00537
Warmup Train [32][1080/2134]	Time 0.621 (0.638)	Data 0.002 (0.017)	Loss 4.2475 (4.2050)	Top-1 acc 22.656 (25.111)	Top-5 acc 46.484 (48.473)	lr 0.00536
Warmup Train [32][1090/2134]	Time 0.634 (0.638)	Data 0.002 (0.017)	Loss 4.0022 (4.2047)	Top-1 acc 29.688 (25.129)	Top-5 acc 53.516 (48.480)	lr 0.00535
Warmup Train [32][1100/2134]	Time 0.528 (0.638)	Data 0.002 (0.017)	Loss 4.1851 (4.2044)	Top-1 acc 25.781 (25.134)	Top-5 acc 48.828 (48.488)	lr 0.00535
Warmup Train [32][1110/2134]	Time 0.531 (0.638)	Data 0.002 (0.017)	Loss 4.3210 (4.2046)	Top-1 acc 24.219 (25.124)	Top-5 acc 45.703 (48.476)	lr 0.00534
Warmup Train [32][1120/2134]	Time 0.611 (0.637)	Data 0.002 (0.017)	Loss 4.1760 (4.2045)	Top-1 acc 28.125 (25.124)	Top-5 acc 51.953 (48.483)	lr 0.00534
Warmup Train [32][1130/2134]	Time 0.564 (0.637)	Data 0.002 (0.017)	Loss 4.4193 (4.2050)	Top-1 acc 22.656 (25.116)	Top-5 acc 44.922 (48.474)	lr 0.00533
Warmup Train [32][1140/2134]	Time 0.438 (0.637)	Data 0.002 (0.017)	Loss 4.2722 (4.2045)	Top-1 acc 24.219 (25.123)	Top-5 acc 43.359 (48.492)	lr 0.00533
Warmup Train [32][1150/2134]	Time 0.689 (0.639)	Data 0.002 (0.017)	Loss 4.3051 (4.2049)	Top-1 acc 24.609 (25.114)	Top-5 acc 44.141 (48.476)	lr 0.00532
Warmup Train [32][1160/2134]	Time 0.571 (0.639)	Data 0.002 (0.017)	Loss 4.1003 (4.2044)	Top-1 acc 23.047 (25.114)	Top-5 acc 47.656 (48.487)	lr 0.00531
Warmup Train [32][1170/2134]	Time 0.628 (0.639)	Data 0.002 (0.016)	Loss 4.1275 (4.2048)	Top-1 acc 25.391 (25.103)	Top-5 acc 51.172 (48.484)	lr 0.00531
Warmup Train [32][1180/2134]	Time 0.484 (0.638)	Data 0.002 (0.016)	Loss 4.1386 (4.2050)	Top-1 acc 28.516 (25.113)	Top-5 acc 50.391 (48.476)	lr 0.00530
Warmup Train [32][1190/2134]	Time 0.674 (0.638)	Data 0.002 (0.016)	Loss 4.2588 (4.2053)	Top-1 acc 21.875 (25.107)	Top-5 acc 48.047 (48.472)	lr 0.00530
Warmup Train [32][1200/2134]	Time 0.729 (0.638)	Data 0.002 (0.016)	Loss 4.2117 (4.2052)	Top-1 acc 21.094 (25.104)	Top-5 acc 47.656 (48.467)	lr 0.00529
Warmup Train [32][1210/2134]	Time 0.578 (0.638)	Data 0.002 (0.016)	Loss 4.2825 (4.2052)	Top-1 acc 24.219 (25.111)	Top-5 acc 44.922 (48.467)	lr 0.00529
Warmup Train [32][1220/2134]	Time 0.628 (0.638)	Data 0.003 (0.016)	Loss 4.0763 (4.2049)	Top-1 acc 28.906 (25.118)	Top-5 acc 50.000 (48.474)	lr 0.00528
Warmup Train [32][1230/2134]	Time 0.668 (0.637)	Data 0.002 (0.016)	Loss 4.0579 (4.2048)	Top-1 acc 27.734 (25.116)	Top-5 acc 53.516 (48.477)	lr 0.00527
Warmup Train [32][1240/2134]	Time 0.534 (0.637)	Data 0.002 (0.016)	Loss 4.2182 (4.2049)	Top-1 acc 28.516 (25.116)	Top-5 acc 45.312 (48.471)	lr 0.00527
Warmup Train [32][1250/2134]	Time 0.651 (0.637)	Data 0.003 (0.016)	Loss 4.2167 (4.2042)	Top-1 acc 21.875 (25.118)	Top-5 acc 49.219 (48.486)	lr 0.00526
Warmup Train [32][1260/2134]	Time 0.605 (0.637)	Data 0.002 (0.016)	Loss 4.1998 (4.2041)	Top-1 acc 24.219 (25.113)	Top-5 acc 47.266 (48.487)	lr 0.00526
Warmup Train [32][1270/2134]	Time 0.663 (0.637)	Data 0.002 (0.016)	Loss 4.5000 (4.2041)	Top-1 acc 22.656 (25.121)	Top-5 acc 44.922 (48.489)	lr 0.00525
Warmup Train [32][1280/2134]	Time 0.670 (0.636)	Data 0.003 (0.016)	Loss 4.1626 (4.2040)	Top-1 acc 24.609 (25.123)	Top-5 acc 47.656 (48.488)	lr 0.00525
Warmup Train [32][1290/2134]	Time 0.442 (0.636)	Data 0.002 (0.015)	Loss 3.9677 (4.2036)	Top-1 acc 31.250 (25.133)	Top-5 acc 57.812 (48.497)	lr 0.00524
Warmup Train [32][1300/2134]	Time 0.667 (0.636)	Data 0.002 (0.015)	Loss 4.2523 (4.2034)	Top-1 acc 28.125 (25.138)	Top-5 acc 48.047 (48.508)	lr 0.00524
Warmup Train [32][1310/2134]	Time 0.552 (0.636)	Data 0.002 (0.015)	Loss 4.3443 (4.2036)	Top-1 acc 23.828 (25.138)	Top-5 acc 49.609 (48.513)	lr 0.00523
Warmup Train [32][1320/2134]	Time 0.489 (0.636)	Data 0.002 (0.015)	Loss 4.2524 (4.2038)	Top-1 acc 24.609 (25.135)	Top-5 acc 46.484 (48.503)	lr 0.00522
Warmup Train [32][1330/2134]	Time 0.654 (0.636)	Data 0.002 (0.015)	Loss 4.0934 (4.2040)	Top-1 acc 26.172 (25.133)	Top-5 acc 48.438 (48.501)	lr 0.00522
Warmup Train [32][1340/2134]	Time 0.650 (0.635)	Data 0.002 (0.015)	Loss 4.2936 (4.2039)	Top-1 acc 25.391 (25.140)	Top-5 acc 46.484 (48.498)	lr 0.00521
Warmup Train [32][1350/2134]	Time 0.681 (0.635)	Data 0.002 (0.015)	Loss 4.2028 (4.2036)	Top-1 acc 24.609 (25.144)	Top-5 acc 50.000 (48.508)	lr 0.00521
Warmup Train [32][1360/2134]	Time 0.469 (0.635)	Data 0.002 (0.015)	Loss 4.1702 (4.2033)	Top-1 acc 26.172 (25.150)	Top-5 acc 52.734 (48.515)	lr 0.00520
Warmup Train [32][1370/2134]	Time 0.675 (0.635)	Data 0.002 (0.015)	Loss 4.2735 (4.2028)	Top-1 acc 21.484 (25.154)	Top-5 acc 48.438 (48.532)	lr 0.00520
Warmup Train [32][1380/2134]	Time 0.685 (0.635)	Data 0.002 (0.015)	Loss 4.2769 (4.2022)	Top-1 acc 21.484 (25.164)	Top-5 acc 47.266 (48.544)	lr 0.00519
Warmup Train [32][1390/2134]	Time 0.635 (0.635)	Data 0.003 (0.015)	Loss 4.2631 (4.2019)	Top-1 acc 22.656 (25.168)	Top-5 acc 46.875 (48.551)	lr 0.00518
Warmup Train [32][1400/2134]	Time 0.456 (0.634)	Data 0.003 (0.015)	Loss 4.2661 (4.2018)	Top-1 acc 23.828 (25.171)	Top-5 acc 48.828 (48.557)	lr 0.00518
Warmup Train [32][1410/2134]	Time 0.584 (0.634)	Data 0.002 (0.015)	Loss 4.1562 (4.2018)	Top-1 acc 32.422 (25.179)	Top-5 acc 51.953 (48.563)	lr 0.00517
Warmup Train [32][1420/2134]	Time 0.490 (0.634)	Data 0.002 (0.015)	Loss 4.3503 (4.2024)	Top-1 acc 22.656 (25.172)	Top-5 acc 40.625 (48.544)	lr 0.00517
Warmup Train [32][1430/2134]	Time 0.447 (0.634)	Data 0.002 (0.015)	Loss 4.2073 (4.2026)	Top-1 acc 23.047 (25.167)	Top-5 acc 48.438 (48.541)	lr 0.00516
Warmup Train [32][1440/2134]	Time 0.605 (0.634)	Data 0.002 (0.015)	Loss 4.1986 (4.2025)	Top-1 acc 25.781 (25.176)	Top-5 acc 50.781 (48.544)	lr 0.00516
Warmup Train [32][1450/2134]	Time 0.728 (0.634)	Data 0.004 (0.015)	Loss 4.1434 (4.2028)	Top-1 acc 24.219 (25.167)	Top-5 acc 50.391 (48.538)	lr 0.00515
Warmup Train [32][1460/2134]	Time 0.617 (0.633)	Data 0.002 (0.015)	Loss 4.0887 (4.2026)	Top-1 acc 26.172 (25.163)	Top-5 acc 53.516 (48.543)	lr 0.00515
Warmup Train [32][1470/2134]	Time 0.656 (0.635)	Data 0.002 (0.015)	Loss 4.2263 (4.2027)	Top-1 acc 23.438 (25.162)	Top-5 acc 47.266 (48.537)	lr 0.00514
Warmup Train [32][1480/2134]	Time 0.523 (0.635)	Data 0.003 (0.014)	Loss 4.2206 (4.2029)	Top-1 acc 26.562 (25.157)	Top-5 acc 46.094 (48.538)	lr 0.00513
Warmup Train [32][1490/2134]	Time 0.563 (0.635)	Data 0.002 (0.014)	Loss 4.2083 (4.2031)	Top-1 acc 24.609 (25.156)	Top-5 acc 48.438 (48.531)	lr 0.00513
Warmup Train [32][1500/2134]	Time 0.612 (0.635)	Data 0.003 (0.014)	Loss 4.1686 (4.2032)	Top-1 acc 27.734 (25.157)	Top-5 acc 47.656 (48.528)	lr 0.00512
Warmup Train [32][1510/2134]	Time 0.487 (0.634)	Data 0.002 (0.014)	Loss 4.1135 (4.2033)	Top-1 acc 25.391 (25.161)	Top-5 acc 48.047 (48.526)	lr 0.00512
Warmup Train [32][1520/2134]	Time 0.578 (0.634)	Data 0.002 (0.014)	Loss 4.1034 (4.2037)	Top-1 acc 28.906 (25.153)	Top-5 acc 48.828 (48.513)	lr 0.00511
Warmup Train [32][1530/2134]	Time 0.558 (0.634)	Data 0.002 (0.014)	Loss 4.2509 (4.2042)	Top-1 acc 25.391 (25.139)	Top-5 acc 44.531 (48.498)	lr 0.00511
Warmup Train [32][1540/2134]	Time 0.699 (0.634)	Data 0.002 (0.014)	Loss 4.2213 (4.2040)	Top-1 acc 24.219 (25.141)	Top-5 acc 44.141 (48.501)	lr 0.00510
Warmup Train [32][1550/2134]	Time 0.566 (0.634)	Data 0.002 (0.014)	Loss 4.0984 (4.2041)	Top-1 acc 30.859 (25.147)	Top-5 acc 51.172 (48.498)	lr 0.00510
Warmup Train [32][1560/2134]	Time 0.499 (0.634)	Data 0.002 (0.014)	Loss 4.2788 (4.2041)	Top-1 acc 26.562 (25.145)	Top-5 acc 47.266 (48.489)	lr 0.00509
Warmup Train [32][1570/2134]	Time 0.724 (0.634)	Data 0.002 (0.014)	Loss 4.1742 (4.2040)	Top-1 acc 23.828 (25.143)	Top-5 acc 46.484 (48.485)	lr 0.00508
Warmup Train [32][1580/2134]	Time 0.700 (0.634)	Data 0.003 (0.014)	Loss 4.1860 (4.2038)	Top-1 acc 24.609 (25.151)	Top-5 acc 49.609 (48.485)	lr 0.00508
Warmup Train [32][1590/2134]	Time 0.623 (0.633)	Data 0.002 (0.014)	Loss 4.2857 (4.2039)	Top-1 acc 21.484 (25.152)	Top-5 acc 47.266 (48.487)	lr 0.00507
Warmup Train [32][1600/2134]	Time 0.530 (0.633)	Data 0.002 (0.014)	Loss 4.4075 (4.2036)	Top-1 acc 20.703 (25.159)	Top-5 acc 41.406 (48.487)	lr 0.00507
Warmup Train [32][1610/2134]	Time 0.599 (0.633)	Data 0.002 (0.014)	Loss 4.1788 (4.2036)	Top-1 acc 28.516 (25.159)	Top-5 acc 49.219 (48.486)	lr 0.00506
Warmup Train [32][1620/2134]	Time 0.513 (0.633)	Data 0.003 (0.014)	Loss 4.1083 (4.2033)	Top-1 acc 27.734 (25.167)	Top-5 acc 51.562 (48.491)	lr 0.00506
Warmup Train [32][1630/2134]	Time 0.574 (0.633)	Data 0.002 (0.014)	Loss 4.3084 (4.2036)	Top-1 acc 24.219 (25.162)	Top-5 acc 45.312 (48.486)	lr 0.00505
Warmup Train [32][1640/2134]	Time 0.601 (0.633)	Data 0.002 (0.014)	Loss 4.3234 (4.2034)	Top-1 acc 25.781 (25.174)	Top-5 acc 46.875 (48.492)	lr 0.00505
Warmup Train [32][1650/2134]	Time 0.644 (0.633)	Data 0.002 (0.014)	Loss 4.1636 (4.2034)	Top-1 acc 24.219 (25.171)	Top-5 acc 48.047 (48.486)	lr 0.00504
Warmup Train [32][1660/2134]	Time 0.602 (0.633)	Data 0.003 (0.014)	Loss 4.0294 (4.2030)	Top-1 acc 28.516 (25.182)	Top-5 acc 55.469 (48.497)	lr 0.00503
Warmup Train [32][1670/2134]	Time 0.677 (0.632)	Data 0.002 (0.014)	Loss 4.3107 (4.2029)	Top-1 acc 18.750 (25.185)	Top-5 acc 48.438 (48.497)	lr 0.00503
Warmup Train [32][1680/2134]	Time 0.441 (0.632)	Data 0.002 (0.014)	Loss 4.2785 (4.2034)	Top-1 acc 22.266 (25.179)	Top-5 acc 47.266 (48.488)	lr 0.00502
Warmup Train [32][1690/2134]	Time 0.699 (0.632)	Data 0.002 (0.014)	Loss 4.0513 (4.2037)	Top-1 acc 29.688 (25.185)	Top-5 acc 53.516 (48.484)	lr 0.00502
Warmup Train [32][1700/2134]	Time 0.683 (0.632)	Data 0.002 (0.014)	Loss 4.2270 (4.2036)	Top-1 acc 26.953 (25.187)	Top-5 acc 49.609 (48.487)	lr 0.00501
Warmup Train [32][1710/2134]	Time 0.639 (0.632)	Data 0.002 (0.013)	Loss 4.1789 (4.2037)	Top-1 acc 25.781 (25.186)	Top-5 acc 46.875 (48.482)	lr 0.00501
Warmup Train [32][1720/2134]	Time 0.630 (0.632)	Data 0.002 (0.013)	Loss 4.1827 (4.2037)	Top-1 acc 23.828 (25.188)	Top-5 acc 48.438 (48.474)	lr 0.00500
Warmup Train [32][1730/2134]	Time 0.501 (0.632)	Data 0.002 (0.013)	Loss 4.3651 (4.2039)	Top-1 acc 23.828 (25.181)	Top-5 acc 44.922 (48.469)	lr 0.00500
Warmup Train [32][1740/2134]	Time 0.624 (0.632)	Data 0.002 (0.013)	Loss 4.2094 (4.2039)	Top-1 acc 25.000 (25.184)	Top-5 acc 46.094 (48.468)	lr 0.00499
Warmup Train [32][1750/2134]	Time 0.629 (0.631)	Data 0.002 (0.013)	Loss 4.0891 (4.2041)	Top-1 acc 30.469 (25.182)	Top-5 acc 46.094 (48.457)	lr 0.00498
Warmup Train [32][1760/2134]	Time 0.757 (0.631)	Data 0.002 (0.013)	Loss 4.2874 (4.2040)	Top-1 acc 21.875 (25.178)	Top-5 acc 45.312 (48.462)	lr 0.00498
Warmup Train [32][1770/2134]	Time 0.621 (0.633)	Data 0.003 (0.013)	Loss 4.3899 (4.2043)	Top-1 acc 21.875 (25.169)	Top-5 acc 47.656 (48.458)	lr 0.00497
Warmup Train [32][1780/2134]	Time 0.703 (0.633)	Data 0.002 (0.013)	Loss 4.2750 (4.2041)	Top-1 acc 23.047 (25.164)	Top-5 acc 46.484 (48.466)	lr 0.00497
Warmup Train [32][1790/2134]	Time 0.716 (0.633)	Data 0.004 (0.013)	Loss 4.1335 (4.2040)	Top-1 acc 28.516 (25.163)	Top-5 acc 48.828 (48.469)	lr 0.00496
Warmup Train [32][1800/2134]	Time 0.615 (0.633)	Data 0.002 (0.013)	Loss 4.0718 (4.2040)	Top-1 acc 26.562 (25.164)	Top-5 acc 50.391 (48.467)	lr 0.00496
Warmup Train [32][1810/2134]	Time 0.600 (0.633)	Data 0.002 (0.013)	Loss 4.2534 (4.2038)	Top-1 acc 22.266 (25.165)	Top-5 acc 48.828 (48.475)	lr 0.00495
Warmup Train [32][1820/2134]	Time 0.665 (0.633)	Data 0.002 (0.013)	Loss 4.1702 (4.2036)	Top-1 acc 26.562 (25.172)	Top-5 acc 51.172 (48.484)	lr 0.00495
Warmup Train [32][1830/2134]	Time 0.732 (0.633)	Data 0.003 (0.013)	Loss 4.2107 (4.2035)	Top-1 acc 21.484 (25.176)	Top-5 acc 48.047 (48.490)	lr 0.00494
Warmup Train [32][1840/2134]	Time 0.396 (0.632)	Data 0.002 (0.013)	Loss 4.4616 (4.2037)	Top-1 acc 19.922 (25.175)	Top-5 acc 43.359 (48.479)	lr 0.00494
Warmup Train [32][1850/2134]	Time 0.638 (0.632)	Data 0.002 (0.013)	Loss 4.0718 (4.2034)	Top-1 acc 25.391 (25.180)	Top-5 acc 51.562 (48.488)	lr 0.00493
Warmup Train [32][1860/2134]	Time 0.598 (0.632)	Data 0.002 (0.013)	Loss 4.0662 (4.2034)	Top-1 acc 26.562 (25.179)	Top-5 acc 53.125 (48.483)	lr 0.00492
Warmup Train [32][1870/2134]	Time 0.607 (0.632)	Data 0.002 (0.013)	Loss 4.2556 (4.2032)	Top-1 acc 23.438 (25.179)	Top-5 acc 48.047 (48.489)	lr 0.00492
Warmup Train [32][1880/2134]	Time 0.486 (0.631)	Data 0.002 (0.013)	Loss 4.2374 (4.2034)	Top-1 acc 21.484 (25.178)	Top-5 acc 49.609 (48.489)	lr 0.00491
Warmup Train [32][1890/2134]	Time 0.461 (0.631)	Data 0.002 (0.013)	Loss 4.1283 (4.2034)	Top-1 acc 27.344 (25.178)	Top-5 acc 50.781 (48.491)	lr 0.00491
Warmup Train [32][1900/2134]	Time 0.528 (0.631)	Data 0.002 (0.013)	Loss 4.3879 (4.2036)	Top-1 acc 22.266 (25.172)	Top-5 acc 44.531 (48.485)	lr 0.00490
Warmup Train [32][1910/2134]	Time 0.498 (0.631)	Data 0.002 (0.013)	Loss 4.2050 (4.2035)	Top-1 acc 26.953 (25.176)	Top-5 acc 48.828 (48.488)	lr 0.00490
Warmup Train [32][1920/2134]	Time 0.593 (0.631)	Data 0.002 (0.013)	Loss 4.4520 (4.2034)	Top-1 acc 17.188 (25.178)	Top-5 acc 40.234 (48.485)	lr 0.00489
Warmup Train [32][1930/2134]	Time 0.564 (0.631)	Data 0.003 (0.013)	Loss 4.1571 (4.2030)	Top-1 acc 31.641 (25.184)	Top-5 acc 52.734 (48.495)	lr 0.00489
Warmup Train [32][1940/2134]	Time 0.493 (0.631)	Data 0.002 (0.013)	Loss 4.2369 (4.2032)	Top-1 acc 26.562 (25.187)	Top-5 acc 44.531 (48.490)	lr 0.00488
Warmup Train [32][1950/2134]	Time 0.615 (0.631)	Data 0.002 (0.013)	Loss 4.2751 (4.2029)	Top-1 acc 21.484 (25.197)	Top-5 acc 45.312 (48.497)	lr 0.00488
Warmup Train [32][1960/2134]	Time 0.764 (0.631)	Data 0.002 (0.013)	Loss 4.1645 (4.2030)	Top-1 acc 27.734 (25.193)	Top-5 acc 49.609 (48.490)	lr 0.00487
Warmup Train [32][1970/2134]	Time 0.483 (0.631)	Data 0.002 (0.013)	Loss 4.0623 (4.2030)	Top-1 acc 31.250 (25.198)	Top-5 acc 48.828 (48.490)	lr 0.00486
Warmup Train [32][1980/2134]	Time 0.618 (0.630)	Data 0.002 (0.013)	Loss 4.3369 (4.2031)	Top-1 acc 21.484 (25.200)	Top-5 acc 46.484 (48.489)	lr 0.00486
Warmup Train [32][1990/2134]	Time 0.601 (0.630)	Data 0.002 (0.013)	Loss 3.9524 (4.2028)	Top-1 acc 29.297 (25.198)	Top-5 acc 55.469 (48.492)	lr 0.00485
Warmup Train [32][2000/2134]	Time 0.480 (0.630)	Data 0.002 (0.012)	Loss 4.2805 (4.2028)	Top-1 acc 17.578 (25.196)	Top-5 acc 42.188 (48.490)	lr 0.00485
Warmup Train [32][2010/2134]	Time 0.418 (0.630)	Data 0.002 (0.013)	Loss 4.1175 (4.2027)	Top-1 acc 26.953 (25.202)	Top-5 acc 48.438 (48.496)	lr 0.00484
Warmup Train [32][2020/2134]	Time 0.625 (0.630)	Data 0.002 (0.013)	Loss 4.1988 (4.2029)	Top-1 acc 26.562 (25.200)	Top-5 acc 50.391 (48.492)	lr 0.00484
Warmup Train [32][2030/2134]	Time 0.397 (0.630)	Data 0.002 (0.012)	Loss 4.2140 (4.2030)	Top-1 acc 27.734 (25.201)	Top-5 acc 47.266 (48.493)	lr 0.00483
Warmup Train [32][2040/2134]	Time 0.582 (0.630)	Data 0.002 (0.013)	Loss 4.2312 (4.2031)	Top-1 acc 25.391 (25.202)	Top-5 acc 48.047 (48.494)	lr 0.00483
Warmup Train [32][2050/2134]	Time 0.682 (0.629)	Data 0.002 (0.012)	Loss 4.0912 (4.2034)	Top-1 acc 27.344 (25.200)	Top-5 acc 49.219 (48.486)	lr 0.00482
Warmup Train [32][2060/2134]	Time 0.699 (0.629)	Data 0.002 (0.012)	Loss 4.2430 (4.2034)	Top-1 acc 26.172 (25.200)	Top-5 acc 47.656 (48.482)	lr 0.00482
Warmup Train [32][2070/2134]	Time 3.688 (0.631)	Data 0.002 (0.012)	Loss 4.0806 (4.2034)	Top-1 acc 28.125 (25.204)	Top-5 acc 50.781 (48.482)	lr 0.00481
Warmup Train [32][2080/2134]	Time 0.654 (0.631)	Data 0.000 (0.012)	Loss 4.0748 (4.2035)	Top-1 acc 25.000 (25.197)	Top-5 acc 51.172 (48.478)	lr 0.00480
Warmup Train [32][2090/2134]	Time 0.633 (0.631)	Data 0.000 (0.012)	Loss 4.2189 (4.2033)	Top-1 acc 24.609 (25.196)	Top-5 acc 48.438 (48.483)	lr 0.00480
Warmup Train [32][2100/2134]	Time 0.653 (0.630)	Data 0.000 (0.012)	Loss 4.2797 (4.2032)	Top-1 acc 28.906 (25.203)	Top-5 acc 49.609 (48.491)	lr 0.00479
Warmup Train [32][2110/2134]	Time 0.718 (0.630)	Data 0.000 (0.012)	Loss 3.9536 (4.2030)	Top-1 acc 28.906 (25.207)	Top-5 acc 48.828 (48.492)	lr 0.00479
Warmup Train [32][2120/2134]	Time 0.628 (0.630)	Data 0.000 (0.012)	Loss 4.2470 (4.2028)	Top-1 acc 27.734 (25.208)	Top-5 acc 48.047 (48.493)	lr 0.00478
Warmup Train [32][2130/2134]	Time 0.675 (0.630)	Data 0.000 (0.012)	Loss 4.1455 (4.2027)	Top-1 acc 26.172 (25.209)	Top-5 acc 49.609 (48.493)	lr 0.00478
Warmup Train [32][2134/2134]	Time 0.569 (0.630)	Data 0.000 (0.012)	Loss 4.4080 (4.2029)	Top-1 acc 25.134 (25.208)	Top-5 acc 46.524 (48.492)	lr 0.00478
==========Warmup Valid [32/40]	loss 3.215	top-1 acc 32.270	top-5 acc 58.185	Train top-1 25.208	top-5 48.492	flops: 442.4M
Warmup Train [33][0/2134]	Time 14.803 (14.803)	Data 12.687 (12.687)	Loss 4.2224 (4.2224)	Top-1 acc 24.609 (24.609)	Top-5 acc 44.531 (44.531)	lr 0.00477
Warmup Train [33][10/2134]	Time 0.636 (2.034)	Data 0.003 (1.164)	Loss 4.0581 (4.1825)	Top-1 acc 26.953 (25.533)	Top-5 acc 50.781 (48.189)	lr 0.00477
Warmup Train [33][20/2134]	Time 0.608 (1.361)	Data 0.002 (0.613)	Loss 4.1616 (4.1886)	Top-1 acc 21.875 (25.911)	Top-5 acc 48.828 (48.121)	lr 0.00476
Warmup Train [33][30/2134]	Time 0.608 (1.127)	Data 0.003 (0.416)	Loss 4.0942 (4.1798)	Top-1 acc 29.297 (25.592)	Top-5 acc 51.562 (48.362)	lr 0.00476
Warmup Train [33][40/2134]	Time 0.506 (0.999)	Data 0.002 (0.315)	Loss 4.2211 (4.1804)	Top-1 acc 26.562 (25.619)	Top-5 acc 46.094 (48.599)	lr 0.00475
Warmup Train [33][50/2134]	Time 0.525 (0.931)	Data 0.002 (0.257)	Loss 4.2186 (4.1893)	Top-1 acc 25.000 (25.406)	Top-5 acc 44.141 (48.460)	lr 0.00475
Warmup Train [33][60/2134]	Time 0.604 (0.884)	Data 0.002 (0.217)	Loss 4.0882 (4.1830)	Top-1 acc 27.344 (25.455)	Top-5 acc 50.000 (48.566)	lr 0.00474
Warmup Train [33][70/2134]	Time 0.622 (0.845)	Data 0.002 (0.187)	Loss 4.0165 (4.1833)	Top-1 acc 30.859 (25.473)	Top-5 acc 55.469 (48.724)	lr 0.00474
Warmup Train [33][80/2134]	Time 0.640 (0.816)	Data 0.002 (0.164)	Loss 4.2773 (4.1808)	Top-1 acc 22.656 (25.497)	Top-5 acc 45.312 (48.717)	lr 0.00473
Warmup Train [33][90/2134]	Time 0.700 (0.794)	Data 0.003 (0.146)	Loss 4.1045 (4.1782)	Top-1 acc 28.516 (25.472)	Top-5 acc 54.688 (48.828)	lr 0.00473
Warmup Train [33][100/2134]	Time 0.667 (0.778)	Data 0.003 (0.132)	Loss 4.3095 (4.1757)	Top-1 acc 19.141 (25.456)	Top-5 acc 46.484 (49.006)	lr 0.00472
Warmup Train [33][110/2134]	Time 0.486 (0.760)	Data 0.002 (0.120)	Loss 4.2416 (4.1780)	Top-1 acc 23.047 (25.313)	Top-5 acc 48.047 (49.001)	lr 0.00472
Warmup Train [33][120/2134]	Time 0.558 (0.749)	Data 0.002 (0.112)	Loss 4.1898 (4.1776)	Top-1 acc 27.344 (25.333)	Top-5 acc 49.609 (48.925)	lr 0.00471
Warmup Train [33][130/2134]	Time 0.724 (0.742)	Data 0.002 (0.104)	Loss 4.2940 (4.1804)	Top-1 acc 23.828 (25.277)	Top-5 acc 48.438 (48.894)	lr 0.00470
Warmup Train [33][140/2134]	Time 0.689 (0.734)	Data 0.003 (0.097)	Loss 4.2035 (4.1829)	Top-1 acc 24.609 (25.175)	Top-5 acc 49.609 (48.820)	lr 0.00470
Warmup Train [33][150/2134]	Time 0.739 (0.727)	Data 0.002 (0.091)	Loss 4.2058 (4.1854)	Top-1 acc 25.000 (25.116)	Top-5 acc 44.922 (48.761)	lr 0.00469
Warmup Train [33][160/2134]	Time 0.550 (0.718)	Data 0.002 (0.086)	Loss 4.3684 (4.1907)	Top-1 acc 19.531 (25.124)	Top-5 acc 41.797 (48.552)	lr 0.00469
Warmup Train [33][170/2134]	Time 0.700 (0.713)	Data 0.002 (0.082)	Loss 4.1793 (4.1875)	Top-1 acc 25.391 (25.196)	Top-5 acc 51.953 (48.675)	lr 0.00468
Warmup Train [33][180/2134]	Time 0.561 (0.706)	Data 0.002 (0.077)	Loss 4.0128 (4.1880)	Top-1 acc 28.906 (25.188)	Top-5 acc 52.734 (48.681)	lr 0.00468
Warmup Train [33][190/2134]	Time 0.739 (0.701)	Data 0.002 (0.074)	Loss 4.1567 (4.1882)	Top-1 acc 26.562 (25.198)	Top-5 acc 47.266 (48.726)	lr 0.00467
Warmup Train [33][200/2134]	Time 0.644 (0.699)	Data 0.002 (0.070)	Loss 4.3513 (4.1893)	Top-1 acc 25.000 (25.130)	Top-5 acc 46.094 (48.721)	lr 0.00467
Warmup Train [33][210/2134]	Time 0.518 (0.694)	Data 0.002 (0.067)	Loss 4.2353 (4.1879)	Top-1 acc 23.047 (25.115)	Top-5 acc 46.875 (48.728)	lr 0.00466
Warmup Train [33][220/2134]	Time 0.597 (0.692)	Data 0.002 (0.065)	Loss 4.1067 (4.1879)	Top-1 acc 27.734 (25.095)	Top-5 acc 48.047 (48.708)	lr 0.00466
Warmup Train [33][230/2134]	Time 0.592 (0.706)	Data 0.002 (0.062)	Loss 4.0212 (4.1868)	Top-1 acc 30.469 (25.151)	Top-5 acc 53.906 (48.725)	lr 0.00465
Warmup Train [33][240/2134]	Time 0.597 (0.701)	Data 0.002 (0.060)	Loss 4.0248 (4.1861)	Top-1 acc 30.469 (25.164)	Top-5 acc 52.344 (48.707)	lr 0.00465
Warmup Train [33][250/2134]	Time 0.665 (0.698)	Data 0.002 (0.058)	Loss 4.2166 (4.1867)	Top-1 acc 25.391 (25.129)	Top-5 acc 44.141 (48.668)	lr 0.00464
Warmup Train [33][260/2134]	Time 0.519 (0.696)	Data 0.002 (0.056)	Loss 4.5134 (4.1897)	Top-1 acc 18.359 (25.091)	Top-5 acc 41.016 (48.616)	lr 0.00463
Warmup Train [33][270/2134]	Time 0.514 (0.693)	Data 0.003 (0.055)	Loss 4.1772 (4.1871)	Top-1 acc 23.828 (25.186)	Top-5 acc 46.875 (48.649)	lr 0.00463
Warmup Train [33][280/2134]	Time 0.666 (0.690)	Data 0.003 (0.053)	Loss 4.3058 (4.1901)	Top-1 acc 23.438 (25.172)	Top-5 acc 43.359 (48.585)	lr 0.00462
Warmup Train [33][290/2134]	Time 0.572 (0.688)	Data 0.003 (0.052)	Loss 4.0008 (4.1907)	Top-1 acc 30.859 (25.183)	Top-5 acc 54.688 (48.609)	lr 0.00462
Warmup Train [33][300/2134]	Time 0.780 (0.685)	Data 0.002 (0.050)	Loss 4.1779 (4.1911)	Top-1 acc 21.094 (25.175)	Top-5 acc 50.391 (48.628)	lr 0.00461
Warmup Train [33][310/2134]	Time 0.622 (0.683)	Data 0.002 (0.048)	Loss 4.2012 (4.1925)	Top-1 acc 22.656 (25.165)	Top-5 acc 46.484 (48.584)	lr 0.00461
Warmup Train [33][320/2134]	Time 0.699 (0.681)	Data 0.002 (0.047)	Loss 4.2784 (4.1924)	Top-1 acc 25.781 (25.173)	Top-5 acc 46.875 (48.579)	lr 0.00460
Warmup Train [33][330/2134]	Time 0.721 (0.679)	Data 0.002 (0.046)	Loss 4.2484 (4.1941)	Top-1 acc 20.703 (25.130)	Top-5 acc 46.094 (48.541)	lr 0.00460
Warmup Train [33][340/2134]	Time 0.803 (0.677)	Data 0.002 (0.044)	Loss 4.1578 (4.1946)	Top-1 acc 28.516 (25.129)	Top-5 acc 48.047 (48.534)	lr 0.00459
Warmup Train [33][350/2134]	Time 0.757 (0.675)	Data 0.002 (0.043)	Loss 4.1401 (4.1929)	Top-1 acc 26.953 (25.157)	Top-5 acc 51.562 (48.596)	lr 0.00459
Warmup Train [33][360/2134]	Time 0.523 (0.673)	Data 0.002 (0.042)	Loss 4.3479 (4.1942)	Top-1 acc 21.484 (25.140)	Top-5 acc 45.703 (48.578)	lr 0.00458
Warmup Train [33][370/2134]	Time 0.471 (0.671)	Data 0.002 (0.042)	Loss 4.1601 (4.1954)	Top-1 acc 23.438 (25.125)	Top-5 acc 49.609 (48.582)	lr 0.00458
Warmup Train [33][380/2134]	Time 0.681 (0.670)	Data 0.003 (0.041)	Loss 4.3276 (4.1968)	Top-1 acc 23.438 (25.113)	Top-5 acc 45.312 (48.542)	lr 0.00457
Warmup Train [33][390/2134]	Time 0.619 (0.669)	Data 0.002 (0.040)	Loss 4.2034 (4.1973)	Top-1 acc 23.828 (25.117)	Top-5 acc 45.703 (48.533)	lr 0.00457
Warmup Train [33][400/2134]	Time 0.584 (0.667)	Data 0.002 (0.039)	Loss 4.1303 (4.1962)	Top-1 acc 28.516 (25.152)	Top-5 acc 48.828 (48.565)	lr 0.00456
Warmup Train [33][410/2134]	Time 0.691 (0.666)	Data 0.002 (0.038)	Loss 4.1285 (4.1963)	Top-1 acc 25.781 (25.154)	Top-5 acc 49.609 (48.565)	lr 0.00456
Warmup Train [33][420/2134]	Time 0.560 (0.665)	Data 0.002 (0.037)	Loss 4.0251 (4.1966)	Top-1 acc 26.953 (25.137)	Top-5 acc 51.172 (48.555)	lr 0.00455
Warmup Train [33][430/2134]	Time 0.467 (0.663)	Data 0.003 (0.037)	Loss 4.2959 (4.1963)	Top-1 acc 25.781 (25.168)	Top-5 acc 47.656 (48.568)	lr 0.00454
Warmup Train [33][440/2134]	Time 0.606 (0.663)	Data 0.002 (0.036)	Loss 4.0764 (4.1953)	Top-1 acc 25.781 (25.207)	Top-5 acc 51.172 (48.584)	lr 0.00454
Warmup Train [33][450/2134]	Time 0.438 (0.662)	Data 0.002 (0.036)	Loss 4.3061 (4.1946)	Top-1 acc 24.219 (25.213)	Top-5 acc 47.266 (48.587)	lr 0.00453
Warmup Train [33][460/2134]	Time 0.632 (0.661)	Data 0.002 (0.035)	Loss 4.3271 (4.1958)	Top-1 acc 20.312 (25.200)	Top-5 acc 45.703 (48.554)	lr 0.00453
Warmup Train [33][470/2134]	Time 0.842 (0.660)	Data 0.002 (0.035)	Loss 4.2427 (4.1964)	Top-1 acc 24.609 (25.197)	Top-5 acc 45.703 (48.530)	lr 0.00452
Warmup Train [33][480/2134]	Time 0.487 (0.658)	Data 0.002 (0.034)	Loss 4.1047 (4.1961)	Top-1 acc 28.516 (25.207)	Top-5 acc 51.172 (48.520)	lr 0.00452
Warmup Train [33][490/2134]	Time 0.713 (0.657)	Data 0.002 (0.034)	Loss 4.0900 (4.1961)	Top-1 acc 27.734 (25.209)	Top-5 acc 50.781 (48.542)	lr 0.00451
Warmup Train [33][500/2134]	Time 0.638 (0.657)	Data 0.003 (0.033)	Loss 4.2356 (4.1959)	Top-1 acc 23.828 (25.212)	Top-5 acc 48.438 (48.539)	lr 0.00451
Warmup Train [33][510/2134]	Time 0.745 (0.655)	Data 0.002 (0.032)	Loss 4.2208 (4.1954)	Top-1 acc 25.000 (25.208)	Top-5 acc 46.094 (48.522)	lr 0.00450
Warmup Train [33][520/2134]	Time 0.538 (0.655)	Data 0.002 (0.032)	Loss 4.3426 (4.1953)	Top-1 acc 23.047 (25.219)	Top-5 acc 48.047 (48.521)	lr 0.00450
Warmup Train [33][530/2134]	Time 0.610 (0.654)	Data 0.005 (0.031)	Loss 4.4287 (4.1959)	Top-1 acc 20.312 (25.210)	Top-5 acc 42.969 (48.513)	lr 0.00449
Warmup Train [33][540/2134]	Time 0.467 (0.662)	Data 0.003 (0.031)	Loss 4.2220 (4.1954)	Top-1 acc 21.875 (25.230)	Top-5 acc 48.438 (48.532)	lr 0.00449
Warmup Train [33][550/2134]	Time 0.665 (0.661)	Data 0.003 (0.031)	Loss 4.2707 (4.1957)	Top-1 acc 24.609 (25.214)	Top-5 acc 44.922 (48.541)	lr 0.00448
Warmup Train [33][560/2134]	Time 0.614 (0.660)	Data 0.007 (0.030)	Loss 4.1379 (4.1958)	Top-1 acc 24.219 (25.214)	Top-5 acc 51.953 (48.538)	lr 0.00448
Warmup Train [33][570/2134]	Time 0.560 (0.659)	Data 0.002 (0.030)	Loss 4.0530 (4.1967)	Top-1 acc 25.781 (25.199)	Top-5 acc 50.391 (48.513)	lr 0.00447
Warmup Train [33][580/2134]	Time 0.442 (0.659)	Data 0.002 (0.030)	Loss 4.2663 (4.1971)	Top-1 acc 22.266 (25.183)	Top-5 acc 45.703 (48.496)	lr 0.00447
Warmup Train [33][590/2134]	Time 0.782 (0.658)	Data 0.004 (0.030)	Loss 4.1097 (4.1977)	Top-1 acc 26.172 (25.153)	Top-5 acc 48.438 (48.461)	lr 0.00446
Warmup Train [33][600/2134]	Time 0.581 (0.658)	Data 0.002 (0.029)	Loss 4.3705 (4.1985)	Top-1 acc 19.922 (25.131)	Top-5 acc 45.312 (48.437)	lr 0.00446
Warmup Train [33][610/2134]	Time 0.640 (0.657)	Data 0.003 (0.029)	Loss 3.8606 (4.1981)	Top-1 acc 28.906 (25.134)	Top-5 acc 58.984 (48.445)	lr 0.00445
Warmup Train [33][620/2134]	Time 0.487 (0.656)	Data 0.002 (0.028)	Loss 4.1841 (4.1981)	Top-1 acc 26.172 (25.136)	Top-5 acc 49.609 (48.444)	lr 0.00444
Warmup Train [33][630/2134]	Time 0.526 (0.656)	Data 0.003 (0.028)	Loss 4.4191 (4.1984)	Top-1 acc 25.000 (25.128)	Top-5 acc 44.141 (48.431)	lr 0.00444
Warmup Train [33][640/2134]	Time 0.591 (0.655)	Data 0.003 (0.028)	Loss 4.1793 (4.1984)	Top-1 acc 25.781 (25.134)	Top-5 acc 50.781 (48.425)	lr 0.00443
Warmup Train [33][650/2134]	Time 0.593 (0.655)	Data 0.003 (0.028)	Loss 4.3680 (4.1989)	Top-1 acc 22.266 (25.103)	Top-5 acc 43.359 (48.413)	lr 0.00443
Warmup Train [33][660/2134]	Time 0.695 (0.655)	Data 0.002 (0.027)	Loss 4.1700 (4.1979)	Top-1 acc 24.219 (25.129)	Top-5 acc 49.609 (48.433)	lr 0.00442
Warmup Train [33][670/2134]	Time 0.571 (0.654)	Data 0.003 (0.027)	Loss 4.1042 (4.1972)	Top-1 acc 25.781 (25.134)	Top-5 acc 49.609 (48.445)	lr 0.00442
Warmup Train [33][680/2134]	Time 0.632 (0.654)	Data 0.002 (0.027)	Loss 4.1670 (4.1965)	Top-1 acc 23.828 (25.148)	Top-5 acc 48.828 (48.447)	lr 0.00441
Warmup Train [33][690/2134]	Time 0.619 (0.653)	Data 0.025 (0.026)	Loss 4.1024 (4.1964)	Top-1 acc 28.125 (25.146)	Top-5 acc 51.172 (48.448)	lr 0.00441
Warmup Train [33][700/2134]	Time 0.437 (0.652)	Data 0.002 (0.026)	Loss 4.4320 (4.1973)	Top-1 acc 23.047 (25.139)	Top-5 acc 45.703 (48.424)	lr 0.00440
Warmup Train [33][710/2134]	Time 0.641 (0.652)	Data 0.002 (0.026)	Loss 4.1973 (4.1971)	Top-1 acc 20.703 (25.149)	Top-5 acc 53.125 (48.441)	lr 0.00440
Warmup Train [33][720/2134]	Time 0.658 (0.652)	Data 0.002 (0.026)	Loss 4.2968 (4.1968)	Top-1 acc 20.312 (25.145)	Top-5 acc 45.703 (48.445)	lr 0.00439
Warmup Train [33][730/2134]	Time 0.599 (0.651)	Data 0.002 (0.025)	Loss 4.1252 (4.1972)	Top-1 acc 25.391 (25.138)	Top-5 acc 51.172 (48.442)	lr 0.00439
Warmup Train [33][740/2134]	Time 0.486 (0.650)	Data 0.002 (0.025)	Loss 4.3815 (4.1976)	Top-1 acc 21.875 (25.131)	Top-5 acc 43.750 (48.443)	lr 0.00438
Warmup Train [33][750/2134]	Time 0.405 (0.650)	Data 0.002 (0.025)	Loss 4.2178 (4.1977)	Top-1 acc 23.828 (25.140)	Top-5 acc 48.828 (48.449)	lr 0.00438
Warmup Train [33][760/2134]	Time 0.500 (0.649)	Data 0.002 (0.025)	Loss 4.2101 (4.1970)	Top-1 acc 22.656 (25.146)	Top-5 acc 49.609 (48.455)	lr 0.00437
Warmup Train [33][770/2134]	Time 0.479 (0.649)	Data 0.002 (0.025)	Loss 3.9928 (4.1971)	Top-1 acc 28.906 (25.145)	Top-5 acc 53.516 (48.457)	lr 0.00437
Warmup Train [33][780/2134]	Time 0.656 (0.649)	Data 0.002 (0.025)	Loss 4.0768 (4.1967)	Top-1 acc 26.953 (25.151)	Top-5 acc 50.000 (48.477)	lr 0.00436
Warmup Train [33][790/2134]	Time 0.790 (0.648)	Data 0.002 (0.024)	Loss 4.1724 (4.1961)	Top-1 acc 23.828 (25.163)	Top-5 acc 50.391 (48.498)	lr 0.00436
Warmup Train [33][800/2134]	Time 0.482 (0.647)	Data 0.004 (0.024)	Loss 4.1075 (4.1964)	Top-1 acc 26.953 (25.152)	Top-5 acc 51.562 (48.497)	lr 0.00435
Warmup Train [33][810/2134]	Time 0.611 (0.647)	Data 0.003 (0.024)	Loss 4.2170 (4.1965)	Top-1 acc 22.656 (25.143)	Top-5 acc 47.656 (48.508)	lr 0.00435
Warmup Train [33][820/2134]	Time 0.616 (0.647)	Data 0.003 (0.024)	Loss 4.1171 (4.1958)	Top-1 acc 28.906 (25.159)	Top-5 acc 51.562 (48.526)	lr 0.00434
Warmup Train [33][830/2134]	Time 0.559 (0.646)	Data 0.002 (0.023)	Loss 4.1540 (4.1961)	Top-1 acc 24.219 (25.148)	Top-5 acc 48.828 (48.513)	lr 0.00434
Warmup Train [33][840/2134]	Time 4.360 (0.650)	Data 0.002 (0.023)	Loss 4.1561 (4.1965)	Top-1 acc 30.469 (25.149)	Top-5 acc 50.000 (48.490)	lr 0.00433
Warmup Train [33][850/2134]	Time 0.581 (0.650)	Data 0.002 (0.023)	Loss 4.3529 (4.1968)	Top-1 acc 24.219 (25.139)	Top-5 acc 43.750 (48.486)	lr 0.00433
Warmup Train [33][860/2134]	Time 0.724 (0.649)	Data 0.002 (0.023)	Loss 4.1875 (4.1964)	Top-1 acc 30.859 (25.153)	Top-5 acc 50.781 (48.507)	lr 0.00432
Warmup Train [33][870/2134]	Time 0.544 (0.649)	Data 0.002 (0.023)	Loss 4.0480 (4.1965)	Top-1 acc 27.344 (25.145)	Top-5 acc 50.781 (48.492)	lr 0.00431
Warmup Train [33][880/2134]	Time 0.740 (0.649)	Data 0.002 (0.023)	Loss 4.2938 (4.1972)	Top-1 acc 23.047 (25.142)	Top-5 acc 44.531 (48.484)	lr 0.00431
Warmup Train [33][890/2134]	Time 0.631 (0.648)	Data 0.003 (0.022)	Loss 4.1977 (4.1971)	Top-1 acc 25.000 (25.157)	Top-5 acc 49.219 (48.473)	lr 0.00430
Warmup Train [33][900/2134]	Time 0.496 (0.647)	Data 0.002 (0.022)	Loss 4.3904 (4.1971)	Top-1 acc 20.703 (25.149)	Top-5 acc 42.969 (48.467)	lr 0.00430
Warmup Train [33][910/2134]	Time 0.624 (0.647)	Data 0.002 (0.022)	Loss 3.9500 (4.1967)	Top-1 acc 32.812 (25.160)	Top-5 acc 54.297 (48.483)	lr 0.00429
Warmup Train [33][920/2134]	Time 0.599 (0.646)	Data 0.003 (0.022)	Loss 4.0529 (4.1961)	Top-1 acc 25.000 (25.166)	Top-5 acc 50.391 (48.494)	lr 0.00429
Warmup Train [33][930/2134]	Time 0.603 (0.646)	Data 0.003 (0.022)	Loss 4.1355 (4.1962)	Top-1 acc 25.391 (25.168)	Top-5 acc 48.438 (48.485)	lr 0.00428
Warmup Train [33][940/2134]	Time 0.729 (0.646)	Data 0.002 (0.022)	Loss 4.2137 (4.1962)	Top-1 acc 26.953 (25.168)	Top-5 acc 47.656 (48.483)	lr 0.00428
Warmup Train [33][950/2134]	Time 0.550 (0.645)	Data 0.002 (0.021)	Loss 4.1527 (4.1955)	Top-1 acc 27.344 (25.190)	Top-5 acc 49.219 (48.510)	lr 0.00427
Warmup Train [33][960/2134]	Time 0.620 (0.645)	Data 0.002 (0.021)	Loss 4.1170 (4.1956)	Top-1 acc 25.391 (25.194)	Top-5 acc 51.172 (48.499)	lr 0.00427
Warmup Train [33][970/2134]	Time 0.656 (0.644)	Data 0.002 (0.021)	Loss 4.2381 (4.1957)	Top-1 acc 25.391 (25.206)	Top-5 acc 47.266 (48.501)	lr 0.00426
Warmup Train [33][980/2134]	Time 0.532 (0.644)	Data 0.002 (0.021)	Loss 4.1782 (4.1957)	Top-1 acc 26.172 (25.207)	Top-5 acc 45.703 (48.501)	lr 0.00426
Warmup Train [33][990/2134]	Time 0.569 (0.644)	Data 0.002 (0.021)	Loss 4.1846 (4.1958)	Top-1 acc 25.000 (25.206)	Top-5 acc 46.875 (48.503)	lr 0.00425
Warmup Train [33][1000/2134]	Time 0.682 (0.643)	Data 0.004 (0.021)	Loss 4.1510 (4.1960)	Top-1 acc 23.828 (25.194)	Top-5 acc 50.781 (48.503)	lr 0.00425
Warmup Train [33][1010/2134]	Time 0.444 (0.643)	Data 0.002 (0.020)	Loss 4.0954 (4.1958)	Top-1 acc 30.469 (25.203)	Top-5 acc 51.953 (48.506)	lr 0.00424
Warmup Train [33][1020/2134]	Time 0.492 (0.642)	Data 0.002 (0.020)	Loss 4.0974 (4.1957)	Top-1 acc 27.734 (25.208)	Top-5 acc 49.219 (48.498)	lr 0.00424
Warmup Train [33][1030/2134]	Time 0.602 (0.642)	Data 0.002 (0.020)	Loss 4.1551 (4.1954)	Top-1 acc 25.391 (25.205)	Top-5 acc 47.656 (48.503)	lr 0.00423
Warmup Train [33][1040/2134]	Time 0.521 (0.642)	Data 0.002 (0.020)	Loss 4.1472 (4.1950)	Top-1 acc 21.094 (25.215)	Top-5 acc 50.781 (48.514)	lr 0.00423
Warmup Train [33][1050/2134]	Time 0.641 (0.642)	Data 0.002 (0.020)	Loss 3.9567 (4.1953)	Top-1 acc 29.297 (25.210)	Top-5 acc 55.078 (48.515)	lr 0.00422
Warmup Train [33][1060/2134]	Time 0.572 (0.641)	Data 0.003 (0.020)	Loss 4.3200 (4.1955)	Top-1 acc 17.578 (25.201)	Top-5 acc 48.438 (48.521)	lr 0.00422
Warmup Train [33][1070/2134]	Time 0.419 (0.641)	Data 0.002 (0.020)	Loss 4.1924 (4.1949)	Top-1 acc 27.734 (25.216)	Top-5 acc 48.828 (48.541)	lr 0.00421
Warmup Train [33][1080/2134]	Time 0.720 (0.641)	Data 0.003 (0.020)	Loss 4.1154 (4.1943)	Top-1 acc 28.906 (25.235)	Top-5 acc 48.438 (48.559)	lr 0.00421
Warmup Train [33][1090/2134]	Time 0.682 (0.641)	Data 0.002 (0.020)	Loss 3.9868 (4.1939)	Top-1 acc 30.078 (25.243)	Top-5 acc 53.125 (48.561)	lr 0.00420
Warmup Train [33][1100/2134]	Time 0.618 (0.640)	Data 0.002 (0.020)	Loss 4.3115 (4.1944)	Top-1 acc 20.703 (25.226)	Top-5 acc 44.531 (48.549)	lr 0.00420
Warmup Train [33][1110/2134]	Time 0.755 (0.640)	Data 0.003 (0.019)	Loss 4.0721 (4.1943)	Top-1 acc 27.344 (25.226)	Top-5 acc 55.078 (48.555)	lr 0.00419
Warmup Train [33][1120/2134]	Time 0.609 (0.639)	Data 0.002 (0.019)	Loss 4.2454 (4.1941)	Top-1 acc 26.172 (25.229)	Top-5 acc 46.094 (48.566)	lr 0.00419
Warmup Train [33][1130/2134]	Time 0.527 (0.639)	Data 0.004 (0.019)	Loss 4.1841 (4.1940)	Top-1 acc 25.391 (25.228)	Top-5 acc 46.875 (48.570)	lr 0.00418
Warmup Train [33][1140/2134]	Time 0.431 (0.639)	Data 0.002 (0.019)	Loss 4.0928 (4.1940)	Top-1 acc 24.609 (25.237)	Top-5 acc 54.688 (48.585)	lr 0.00418
Warmup Train [33][1150/2134]	Time 0.631 (0.639)	Data 0.002 (0.019)	Loss 4.2317 (4.1939)	Top-1 acc 24.219 (25.237)	Top-5 acc 45.703 (48.582)	lr 0.00417
Warmup Train [33][1160/2134]	Time 0.420 (0.641)	Data 0.002 (0.019)	Loss 4.1299 (4.1937)	Top-1 acc 26.953 (25.243)	Top-5 acc 52.734 (48.597)	lr 0.00417
Warmup Train [33][1170/2134]	Time 0.593 (0.641)	Data 0.003 (0.019)	Loss 4.2925 (4.1935)	Top-1 acc 25.391 (25.242)	Top-5 acc 50.391 (48.611)	lr 0.00416
Warmup Train [33][1180/2134]	Time 0.702 (0.641)	Data 0.002 (0.019)	Loss 4.1918 (4.1932)	Top-1 acc 26.953 (25.255)	Top-5 acc 47.656 (48.621)	lr 0.00416
Warmup Train [33][1190/2134]	Time 0.424 (0.641)	Data 0.002 (0.019)	Loss 4.1614 (4.1933)	Top-1 acc 27.344 (25.262)	Top-5 acc 49.609 (48.620)	lr 0.00415
Warmup Train [33][1200/2134]	Time 0.618 (0.640)	Data 0.003 (0.019)	Loss 4.1049 (4.1935)	Top-1 acc 29.297 (25.258)	Top-5 acc 50.781 (48.619)	lr 0.00415
Warmup Train [33][1210/2134]	Time 0.621 (0.640)	Data 0.002 (0.019)	Loss 4.3298 (4.1935)	Top-1 acc 26.562 (25.256)	Top-5 acc 46.875 (48.622)	lr 0.00414
Warmup Train [33][1220/2134]	Time 0.597 (0.640)	Data 0.002 (0.018)	Loss 4.2295 (4.1931)	Top-1 acc 26.172 (25.272)	Top-5 acc 48.828 (48.636)	lr 0.00414
Warmup Train [33][1230/2134]	Time 0.606 (0.640)	Data 0.002 (0.018)	Loss 4.3740 (4.1928)	Top-1 acc 23.438 (25.272)	Top-5 acc 45.312 (48.649)	lr 0.00413
Warmup Train [33][1240/2134]	Time 0.532 (0.639)	Data 0.002 (0.018)	Loss 4.1591 (4.1928)	Top-1 acc 25.000 (25.269)	Top-5 acc 50.000 (48.645)	lr 0.00413
Warmup Train [33][1250/2134]	Time 0.440 (0.639)	Data 0.002 (0.018)	Loss 4.2319 (4.1927)	Top-1 acc 22.266 (25.271)	Top-5 acc 48.047 (48.660)	lr 0.00412
Warmup Train [33][1260/2134]	Time 0.609 (0.639)	Data 0.002 (0.018)	Loss 4.0367 (4.1925)	Top-1 acc 27.344 (25.281)	Top-5 acc 51.953 (48.665)	lr 0.00412
Warmup Train [33][1270/2134]	Time 0.511 (0.638)	Data 0.002 (0.018)	Loss 4.3782 (4.1929)	Top-1 acc 23.438 (25.275)	Top-5 acc 40.625 (48.654)	lr 0.00411
Warmup Train [33][1280/2134]	Time 0.580 (0.638)	Data 0.002 (0.018)	Loss 4.3157 (4.1934)	Top-1 acc 21.484 (25.263)	Top-5 acc 43.750 (48.640)	lr 0.00411
Warmup Train [33][1290/2134]	Time 0.571 (0.638)	Data 0.002 (0.018)	Loss 4.3575 (4.1933)	Top-1 acc 21.875 (25.272)	Top-5 acc 43.359 (48.639)	lr 0.00410
Warmup Train [33][1300/2134]	Time 0.453 (0.637)	Data 0.002 (0.018)	Loss 4.2397 (4.1932)	Top-1 acc 22.266 (25.273)	Top-5 acc 48.438 (48.642)	lr 0.00410
Warmup Train [33][1310/2134]	Time 0.490 (0.637)	Data 0.002 (0.018)	Loss 4.1335 (4.1929)	Top-1 acc 25.391 (25.270)	Top-5 acc 46.094 (48.650)	lr 0.00409
Warmup Train [33][1320/2134]	Time 0.565 (0.637)	Data 0.002 (0.018)	Loss 4.2627 (4.1931)	Top-1 acc 25.000 (25.272)	Top-5 acc 47.266 (48.647)	lr 0.00409
Warmup Train [33][1330/2134]	Time 0.641 (0.637)	Data 0.002 (0.018)	Loss 4.2440 (4.1934)	Top-1 acc 22.266 (25.263)	Top-5 acc 48.047 (48.644)	lr 0.00408
Warmup Train [33][1340/2134]	Time 0.466 (0.636)	Data 0.002 (0.018)	Loss 4.0916 (4.1930)	Top-1 acc 25.781 (25.282)	Top-5 acc 53.125 (48.663)	lr 0.00408
Warmup Train [33][1350/2134]	Time 0.586 (0.636)	Data 0.002 (0.018)	Loss 4.1973 (4.1929)	Top-1 acc 21.484 (25.281)	Top-5 acc 48.047 (48.662)	lr 0.00407
Warmup Train [33][1360/2134]	Time 0.447 (0.636)	Data 0.002 (0.018)	Loss 4.2079 (4.1928)	Top-1 acc 26.953 (25.288)	Top-5 acc 50.391 (48.666)	lr 0.00407
Warmup Train [33][1370/2134]	Time 0.504 (0.636)	Data 0.002 (0.018)	Loss 4.1920 (4.1928)	Top-1 acc 26.953 (25.291)	Top-5 acc 49.219 (48.669)	lr 0.00406
Warmup Train [33][1380/2134]	Time 0.673 (0.636)	Data 0.002 (0.018)	Loss 4.1910 (4.1928)	Top-1 acc 30.469 (25.297)	Top-5 acc 48.438 (48.668)	lr 0.00405
Warmup Train [33][1390/2134]	Time 0.704 (0.636)	Data 0.002 (0.017)	Loss 4.1484 (4.1926)	Top-1 acc 26.562 (25.300)	Top-5 acc 50.391 (48.671)	lr 0.00405
Warmup Train [33][1400/2134]	Time 0.803 (0.636)	Data 0.002 (0.017)	Loss 4.0797 (4.1925)	Top-1 acc 28.906 (25.304)	Top-5 acc 51.953 (48.670)	lr 0.00404
Warmup Train [33][1410/2134]	Time 0.607 (0.635)	Data 0.002 (0.017)	Loss 4.4517 (4.1929)	Top-1 acc 23.047 (25.300)	Top-5 acc 42.188 (48.658)	lr 0.00404
Warmup Train [33][1420/2134]	Time 0.656 (0.635)	Data 0.002 (0.017)	Loss 4.2255 (4.1929)	Top-1 acc 25.000 (25.301)	Top-5 acc 53.125 (48.657)	lr 0.00403
Warmup Train [33][1430/2134]	Time 0.597 (0.635)	Data 0.002 (0.017)	Loss 4.1048 (4.1928)	Top-1 acc 28.516 (25.302)	Top-5 acc 52.734 (48.658)	lr 0.00403
Warmup Train [33][1440/2134]	Time 0.606 (0.635)	Data 0.002 (0.017)	Loss 4.0115 (4.1926)	Top-1 acc 30.859 (25.309)	Top-5 acc 50.391 (48.669)	lr 0.00402
Warmup Train [33][1450/2134]	Time 0.621 (0.635)	Data 0.004 (0.017)	Loss 4.0853 (4.1925)	Top-1 acc 27.344 (25.317)	Top-5 acc 50.781 (48.670)	lr 0.00402
Warmup Train [33][1460/2134]	Time 0.596 (0.634)	Data 0.002 (0.017)	Loss 4.2139 (4.1925)	Top-1 acc 25.391 (25.323)	Top-5 acc 48.047 (48.672)	lr 0.00401
Warmup Train [33][1470/2134]	Time 0.630 (0.636)	Data 0.003 (0.017)	Loss 4.2131 (4.1926)	Top-1 acc 25.781 (25.320)	Top-5 acc 46.875 (48.671)	lr 0.00401
Warmup Train [33][1480/2134]	Time 0.544 (0.636)	Data 0.004 (0.017)	Loss 4.1750 (4.1926)	Top-1 acc 27.344 (25.319)	Top-5 acc 50.391 (48.674)	lr 0.00400
Warmup Train [33][1490/2134]	Time 0.647 (0.636)	Data 0.002 (0.017)	Loss 4.2937 (4.1926)	Top-1 acc 25.781 (25.316)	Top-5 acc 45.703 (48.677)	lr 0.00400
Warmup Train [33][1500/2134]	Time 0.645 (0.636)	Data 0.002 (0.017)	Loss 4.2242 (4.1926)	Top-1 acc 24.219 (25.313)	Top-5 acc 46.875 (48.676)	lr 0.00399
Warmup Train [33][1510/2134]	Time 0.697 (0.635)	Data 0.002 (0.016)	Loss 4.3129 (4.1925)	Top-1 acc 23.828 (25.316)	Top-5 acc 48.047 (48.688)	lr 0.00399
Warmup Train [33][1520/2134]	Time 0.593 (0.635)	Data 0.002 (0.016)	Loss 4.0358 (4.1924)	Top-1 acc 28.125 (25.316)	Top-5 acc 53.906 (48.693)	lr 0.00398
Warmup Train [33][1530/2134]	Time 0.597 (0.635)	Data 0.002 (0.016)	Loss 4.2128 (4.1920)	Top-1 acc 22.266 (25.324)	Top-5 acc 44.922 (48.705)	lr 0.00398
Warmup Train [33][1540/2134]	Time 0.732 (0.635)	Data 0.002 (0.016)	Loss 4.2234 (4.1921)	Top-1 acc 25.391 (25.328)	Top-5 acc 48.828 (48.704)	lr 0.00397
Warmup Train [33][1550/2134]	Time 0.563 (0.635)	Data 0.002 (0.016)	Loss 4.1824 (4.1920)	Top-1 acc 23.438 (25.333)	Top-5 acc 48.438 (48.704)	lr 0.00397
Warmup Train [33][1560/2134]	Time 0.573 (0.634)	Data 0.002 (0.016)	Loss 4.0736 (4.1921)	Top-1 acc 27.344 (25.337)	Top-5 acc 50.391 (48.706)	lr 0.00397
Warmup Train [33][1570/2134]	Time 0.611 (0.634)	Data 0.002 (0.016)	Loss 4.4382 (4.1924)	Top-1 acc 22.266 (25.335)	Top-5 acc 42.578 (48.694)	lr 0.00396
Warmup Train [33][1580/2134]	Time 0.752 (0.634)	Data 0.002 (0.016)	Loss 3.9416 (4.1923)	Top-1 acc 29.297 (25.332)	Top-5 acc 55.859 (48.697)	lr 0.00396
Warmup Train [33][1590/2134]	Time 0.471 (0.634)	Data 0.002 (0.016)	Loss 4.2137 (4.1921)	Top-1 acc 24.609 (25.333)	Top-5 acc 49.219 (48.701)	lr 0.00395
Warmup Train [33][1600/2134]	Time 0.511 (0.634)	Data 0.002 (0.016)	Loss 4.1489 (4.1924)	Top-1 acc 24.609 (25.326)	Top-5 acc 50.391 (48.700)	lr 0.00395
Warmup Train [33][1610/2134]	Time 0.705 (0.634)	Data 0.002 (0.016)	Loss 4.1114 (4.1921)	Top-1 acc 28.516 (25.327)	Top-5 acc 50.000 (48.702)	lr 0.00394
Warmup Train [33][1620/2134]	Time 0.646 (0.634)	Data 0.002 (0.016)	Loss 4.1254 (4.1924)	Top-1 acc 26.172 (25.323)	Top-5 acc 48.438 (48.702)	lr 0.00394
Warmup Train [33][1630/2134]	Time 0.425 (0.634)	Data 0.002 (0.016)	Loss 4.1214 (4.1921)	Top-1 acc 25.391 (25.329)	Top-5 acc 48.828 (48.709)	lr 0.00393
Warmup Train [33][1640/2134]	Time 0.332 (0.633)	Data 0.002 (0.016)	Loss 4.2738 (4.1920)	Top-1 acc 23.438 (25.337)	Top-5 acc 48.828 (48.715)	lr 0.00393
Warmup Train [33][1650/2134]	Time 0.605 (0.633)	Data 0.002 (0.016)	Loss 4.0230 (4.1918)	Top-1 acc 28.906 (25.337)	Top-5 acc 53.125 (48.717)	lr 0.00392
Warmup Train [33][1660/2134]	Time 0.722 (0.633)	Data 0.002 (0.016)	Loss 4.2903 (4.1918)	Top-1 acc 23.438 (25.338)	Top-5 acc 48.828 (48.723)	lr 0.00392
Warmup Train [33][1670/2134]	Time 0.317 (0.633)	Data 0.002 (0.016)	Loss 4.2040 (4.1916)	Top-1 acc 28.516 (25.337)	Top-5 acc 48.438 (48.727)	lr 0.00391
Warmup Train [33][1680/2134]	Time 0.686 (0.632)	Data 0.002 (0.016)	Loss 4.2242 (4.1918)	Top-1 acc 26.562 (25.336)	Top-5 acc 50.781 (48.721)	lr 0.00391
Warmup Train [33][1690/2134]	Time 0.617 (0.632)	Data 0.002 (0.016)	Loss 4.1470 (4.1920)	Top-1 acc 26.953 (25.340)	Top-5 acc 48.438 (48.721)	lr 0.00390
Warmup Train [33][1700/2134]	Time 0.710 (0.632)	Data 0.002 (0.016)	Loss 4.2350 (4.1921)	Top-1 acc 25.000 (25.335)	Top-5 acc 50.000 (48.720)	lr 0.00390
Warmup Train [33][1710/2134]	Time 0.625 (0.632)	Data 0.002 (0.015)	Loss 3.9883 (4.1918)	Top-1 acc 26.953 (25.339)	Top-5 acc 51.953 (48.727)	lr 0.00389
Warmup Train [33][1720/2134]	Time 0.545 (0.632)	Data 0.002 (0.015)	Loss 4.3053 (4.1918)	Top-1 acc 23.438 (25.343)	Top-5 acc 48.047 (48.734)	lr 0.00389
Warmup Train [33][1730/2134]	Time 0.634 (0.632)	Data 0.002 (0.015)	Loss 4.1260 (4.1919)	Top-1 acc 25.781 (25.343)	Top-5 acc 51.562 (48.731)	lr 0.00388
Warmup Train [33][1740/2134]	Time 0.633 (0.632)	Data 0.002 (0.015)	Loss 4.4275 (4.1922)	Top-1 acc 19.531 (25.333)	Top-5 acc 43.750 (48.725)	lr 0.00388
Warmup Train [33][1750/2134]	Time 0.529 (0.632)	Data 0.002 (0.015)	Loss 4.1318 (4.1923)	Top-1 acc 25.391 (25.335)	Top-5 acc 51.172 (48.722)	lr 0.00387
Warmup Train [33][1760/2134]	Time 0.587 (0.632)	Data 0.002 (0.015)	Loss 4.1487 (4.1921)	Top-1 acc 29.297 (25.342)	Top-5 acc 48.047 (48.729)	lr 0.00387
Warmup Train [33][1770/2134]	Time 0.644 (0.631)	Data 0.002 (0.015)	Loss 4.3094 (4.1922)	Top-1 acc 21.484 (25.336)	Top-5 acc 48.047 (48.727)	lr 0.00386
Warmup Train [33][1780/2134]	Time 0.664 (0.633)	Data 0.002 (0.015)	Loss 4.2347 (4.1923)	Top-1 acc 25.391 (25.335)	Top-5 acc 50.391 (48.722)	lr 0.00386
Warmup Train [33][1790/2134]	Time 0.612 (0.633)	Data 0.002 (0.015)	Loss 4.2200 (4.1920)	Top-1 acc 22.656 (25.338)	Top-5 acc 46.094 (48.725)	lr 0.00385
Warmup Train [33][1800/2134]	Time 0.493 (0.632)	Data 0.002 (0.015)	Loss 4.0511 (4.1916)	Top-1 acc 26.172 (25.349)	Top-5 acc 48.438 (48.735)	lr 0.00385
Warmup Train [33][1810/2134]	Time 0.774 (0.632)	Data 0.002 (0.015)	Loss 4.2337 (4.1916)	Top-1 acc 26.172 (25.351)	Top-5 acc 45.312 (48.733)	lr 0.00384
Warmup Train [33][1820/2134]	Time 0.570 (0.632)	Data 0.002 (0.015)	Loss 4.0229 (4.1918)	Top-1 acc 30.078 (25.352)	Top-5 acc 50.781 (48.727)	lr 0.00384
Warmup Train [33][1830/2134]	Time 0.818 (0.632)	Data 0.002 (0.015)	Loss 4.2764 (4.1918)	Top-1 acc 22.266 (25.346)	Top-5 acc 47.656 (48.728)	lr 0.00383
Warmup Train [33][1840/2134]	Time 0.655 (0.632)	Data 0.002 (0.015)	Loss 4.1950 (4.1915)	Top-1 acc 25.391 (25.351)	Top-5 acc 48.047 (48.735)	lr 0.00383
Warmup Train [33][1850/2134]	Time 0.623 (0.632)	Data 0.002 (0.015)	Loss 4.0293 (4.1911)	Top-1 acc 29.297 (25.356)	Top-5 acc 55.859 (48.742)	lr 0.00382
Warmup Train [33][1860/2134]	Time 0.652 (0.632)	Data 0.002 (0.015)	Loss 4.1668 (4.1908)	Top-1 acc 25.391 (25.363)	Top-5 acc 47.266 (48.747)	lr 0.00382
Warmup Train [33][1870/2134]	Time 0.617 (0.631)	Data 0.002 (0.015)	Loss 4.3382 (4.1907)	Top-1 acc 25.000 (25.368)	Top-5 acc 45.703 (48.749)	lr 0.00381
Warmup Train [33][1880/2134]	Time 0.622 (0.631)	Data 0.002 (0.015)	Loss 4.0819 (4.1906)	Top-1 acc 26.953 (25.364)	Top-5 acc 53.516 (48.750)	lr 0.00381
Warmup Train [33][1890/2134]	Time 0.567 (0.631)	Data 0.002 (0.015)	Loss 4.2335 (4.1905)	Top-1 acc 26.953 (25.362)	Top-5 acc 50.000 (48.750)	lr 0.00380
Warmup Train [33][1900/2134]	Time 0.626 (0.631)	Data 0.002 (0.014)	Loss 4.3515 (4.1904)	Top-1 acc 24.609 (25.367)	Top-5 acc 46.094 (48.755)	lr 0.00380
Warmup Train [33][1910/2134]	Time 0.506 (0.631)	Data 0.002 (0.014)	Loss 4.3085 (4.1903)	Top-1 acc 21.484 (25.365)	Top-5 acc 46.094 (48.760)	lr 0.00379
Warmup Train [33][1920/2134]	Time 0.450 (0.631)	Data 0.002 (0.014)	Loss 4.3505 (4.1903)	Top-1 acc 24.609 (25.368)	Top-5 acc 43.359 (48.755)	lr 0.00379
Warmup Train [33][1930/2134]	Time 0.507 (0.631)	Data 0.002 (0.014)	Loss 4.1608 (4.1901)	Top-1 acc 26.953 (25.374)	Top-5 acc 49.219 (48.758)	lr 0.00378
Warmup Train [33][1940/2134]	Time 0.573 (0.631)	Data 0.003 (0.014)	Loss 4.1025 (4.1899)	Top-1 acc 25.781 (25.379)	Top-5 acc 51.562 (48.768)	lr 0.00378
Warmup Train [33][1950/2134]	Time 0.626 (0.631)	Data 0.002 (0.014)	Loss 4.1471 (4.1898)	Top-1 acc 24.609 (25.373)	Top-5 acc 49.219 (48.772)	lr 0.00377
Warmup Train [33][1960/2134]	Time 0.560 (0.631)	Data 0.002 (0.014)	Loss 4.1123 (4.1899)	Top-1 acc 29.297 (25.371)	Top-5 acc 50.000 (48.773)	lr 0.00377
Warmup Train [33][1970/2134]	Time 0.488 (0.631)	Data 0.002 (0.014)	Loss 4.2690 (4.1898)	Top-1 acc 27.734 (25.380)	Top-5 acc 44.531 (48.774)	lr 0.00376
Warmup Train [33][1980/2134]	Time 0.723 (0.630)	Data 0.002 (0.014)	Loss 4.2912 (4.1898)	Top-1 acc 25.781 (25.385)	Top-5 acc 47.656 (48.777)	lr 0.00376
Warmup Train [33][1990/2134]	Time 0.583 (0.630)	Data 0.002 (0.014)	Loss 4.2836 (4.1898)	Top-1 acc 23.828 (25.384)	Top-5 acc 49.219 (48.775)	lr 0.00375
Warmup Train [33][2000/2134]	Time 0.748 (0.630)	Data 0.003 (0.014)	Loss 4.0798 (4.1896)	Top-1 acc 27.734 (25.391)	Top-5 acc 50.781 (48.779)	lr 0.00375
Warmup Train [33][2010/2134]	Time 0.519 (0.630)	Data 0.002 (0.014)	Loss 4.1565 (4.1895)	Top-1 acc 26.562 (25.392)	Top-5 acc 51.172 (48.782)	lr 0.00374
Warmup Train [33][2020/2134]	Time 0.686 (0.630)	Data 0.002 (0.014)	Loss 4.1200 (4.1893)	Top-1 acc 25.781 (25.396)	Top-5 acc 51.172 (48.788)	lr 0.00374
Warmup Train [33][2030/2134]	Time 0.527 (0.630)	Data 0.003 (0.014)	Loss 4.2424 (4.1891)	Top-1 acc 23.438 (25.397)	Top-5 acc 48.438 (48.794)	lr 0.00373
Warmup Train [33][2040/2134]	Time 0.585 (0.630)	Data 0.002 (0.014)	Loss 4.1083 (4.1891)	Top-1 acc 25.391 (25.400)	Top-5 acc 53.125 (48.792)	lr 0.00373
Warmup Train [33][2050/2134]	Time 0.677 (0.630)	Data 0.002 (0.014)	Loss 4.2161 (4.1894)	Top-1 acc 26.953 (25.397)	Top-5 acc 47.656 (48.788)	lr 0.00372
Warmup Train [33][2060/2134]	Time 0.457 (0.629)	Data 0.002 (0.014)	Loss 4.0240 (4.1893)	Top-1 acc 28.516 (25.400)	Top-5 acc 53.125 (48.793)	lr 0.00372
Warmup Train [33][2070/2134]	Time 0.787 (0.629)	Data 0.001 (0.014)	Loss 4.2656 (4.1892)	Top-1 acc 25.391 (25.405)	Top-5 acc 46.094 (48.791)	lr 0.00372
Warmup Train [33][2080/2134]	Time 0.601 (0.629)	Data 0.000 (0.014)	Loss 4.2430 (4.1893)	Top-1 acc 21.484 (25.405)	Top-5 acc 45.312 (48.788)	lr 0.00371
Warmup Train [33][2090/2134]	Time 0.381 (0.631)	Data 0.000 (0.014)	Loss 4.4172 (4.1895)	Top-1 acc 23.828 (25.406)	Top-5 acc 43.750 (48.783)	lr 0.00371
Warmup Train [33][2100/2134]	Time 0.622 (0.630)	Data 0.000 (0.014)	Loss 4.2900 (4.1894)	Top-1 acc 28.125 (25.410)	Top-5 acc 48.047 (48.786)	lr 0.00370
Warmup Train [33][2110/2134]	Time 0.613 (0.630)	Data 0.000 (0.014)	Loss 4.1383 (4.1893)	Top-1 acc 29.688 (25.418)	Top-5 acc 50.781 (48.789)	lr 0.00370
Warmup Train [33][2120/2134]	Time 0.600 (0.630)	Data 0.000 (0.014)	Loss 4.3248 (4.1894)	Top-1 acc 25.391 (25.412)	Top-5 acc 43.750 (48.786)	lr 0.00369
Warmup Train [33][2130/2134]	Time 0.502 (0.630)	Data 0.000 (0.014)	Loss 4.1530 (4.1894)	Top-1 acc 24.609 (25.414)	Top-5 acc 50.000 (48.789)	lr 0.00369
Warmup Train [33][2134/2134]	Time 0.610 (0.630)	Data 0.000 (0.014)	Loss 4.0954 (4.1893)	Top-1 acc 28.877 (25.416)	Top-5 acc 47.059 (48.790)	lr 0.00368
==========Warmup Valid [33/40]	loss 3.197	top-1 acc 32.892	top-5 acc 58.495	Train top-1 25.416	top-5 48.790	flops: 442.4M
Warmup Train [34][0/2134]	Time 15.019 (15.019)	Data 13.051 (13.051)	Loss 4.1697 (4.1697)	Top-1 acc 26.953 (26.953)	Top-5 acc 48.828 (48.828)	lr 0.00368
Warmup Train [34][10/2134]	Time 0.694 (2.159)	Data 0.002 (1.192)	Loss 4.1320 (4.1665)	Top-1 acc 24.609 (26.136)	Top-5 acc 46.484 (48.651)	lr 0.00368
Warmup Train [34][20/2134]	Time 0.447 (1.414)	Data 0.003 (0.627)	Loss 4.3053 (4.1722)	Top-1 acc 23.828 (25.595)	Top-5 acc 46.484 (48.698)	lr 0.00367
Warmup Train [34][30/2134]	Time 0.613 (1.206)	Data 0.002 (0.480)	Loss 4.0804 (4.1649)	Top-1 acc 26.172 (25.756)	Top-5 acc 53.516 (49.055)	lr 0.00367
Warmup Train [34][40/2134]	Time 0.499 (1.065)	Data 0.002 (0.363)	Loss 4.1054 (4.1646)	Top-1 acc 25.000 (25.953)	Top-5 acc 50.000 (49.247)	lr 0.00366
Warmup Train [34][50/2134]	Time 0.646 (0.976)	Data 0.002 (0.295)	Loss 4.2290 (4.1664)	Top-1 acc 26.562 (25.980)	Top-5 acc 45.312 (49.349)	lr 0.00366
Warmup Train [34][60/2134]	Time 0.598 (0.917)	Data 0.003 (0.247)	Loss 4.2755 (4.1657)	Top-1 acc 25.391 (26.095)	Top-5 acc 45.312 (49.289)	lr 0.00366
Warmup Train [34][70/2134]	Time 0.476 (0.873)	Data 0.026 (0.214)	Loss 4.1705 (4.1724)	Top-1 acc 21.875 (25.886)	Top-5 acc 46.484 (49.092)	lr 0.00365
Warmup Train [34][80/2134]	Time 0.516 (0.844)	Data 0.003 (0.190)	Loss 4.1843 (4.1727)	Top-1 acc 24.219 (25.868)	Top-5 acc 48.047 (49.007)	lr 0.00365
Warmup Train [34][90/2134]	Time 0.633 (0.819)	Data 0.002 (0.170)	Loss 4.3803 (4.1736)	Top-1 acc 19.141 (25.863)	Top-5 acc 42.969 (48.944)	lr 0.00364
Warmup Train [34][100/2134]	Time 0.609 (0.796)	Data 0.002 (0.153)	Loss 4.2431 (4.1772)	Top-1 acc 22.266 (25.862)	Top-5 acc 47.266 (48.863)	lr 0.00364
Warmup Train [34][110/2134]	Time 0.449 (0.779)	Data 0.002 (0.141)	Loss 4.1262 (4.1757)	Top-1 acc 26.172 (25.869)	Top-5 acc 51.953 (49.011)	lr 0.00363
Warmup Train [34][120/2134]	Time 0.620 (0.768)	Data 0.003 (0.131)	Loss 4.1258 (4.1740)	Top-1 acc 26.172 (25.927)	Top-5 acc 51.172 (49.048)	lr 0.00363
Warmup Train [34][130/2134]	Time 0.420 (0.755)	Data 0.004 (0.121)	Loss 4.0856 (4.1702)	Top-1 acc 29.297 (25.966)	Top-5 acc 50.781 (49.153)	lr 0.00362
Warmup Train [34][140/2134]	Time 0.571 (0.746)	Data 0.002 (0.114)	Loss 4.3682 (4.1725)	Top-1 acc 21.484 (25.911)	Top-5 acc 44.141 (49.105)	lr 0.00362
Warmup Train [34][150/2134]	Time 0.682 (0.737)	Data 0.002 (0.107)	Loss 4.2000 (4.1718)	Top-1 acc 26.172 (25.918)	Top-5 acc 44.922 (49.159)	lr 0.00361
Warmup Train [34][160/2134]	Time 0.442 (0.727)	Data 0.003 (0.100)	Loss 4.0882 (4.1691)	Top-1 acc 27.344 (26.024)	Top-5 acc 52.734 (49.323)	lr 0.00361
Warmup Train [34][170/2134]	Time 0.477 (0.720)	Data 0.002 (0.096)	Loss 4.1529 (4.1714)	Top-1 acc 29.297 (26.001)	Top-5 acc 49.219 (49.301)	lr 0.00360
Warmup Train [34][180/2134]	Time 0.644 (0.715)	Data 0.003 (0.091)	Loss 4.2090 (4.1712)	Top-1 acc 27.344 (25.997)	Top-5 acc 49.219 (49.368)	lr 0.00360
Warmup Train [34][190/2134]	Time 0.514 (0.708)	Data 0.002 (0.087)	Loss 4.1275 (4.1730)	Top-1 acc 26.562 (25.988)	Top-5 acc 52.344 (49.333)	lr 0.00359
Warmup Train [34][200/2134]	Time 0.665 (0.704)	Data 0.003 (0.083)	Loss 4.2424 (4.1743)	Top-1 acc 22.656 (25.970)	Top-5 acc 48.828 (49.271)	lr 0.00359
Warmup Train [34][210/2134]	Time 0.526 (0.699)	Data 0.003 (0.079)	Loss 4.1637 (4.1744)	Top-1 acc 25.781 (25.929)	Top-5 acc 48.438 (49.293)	lr 0.00358
Warmup Train [34][220/2134]	Time 0.450 (0.696)	Data 0.003 (0.077)	Loss 4.1677 (4.1758)	Top-1 acc 26.172 (25.861)	Top-5 acc 51.953 (49.221)	lr 0.00358
Warmup Train [34][230/2134]	Time 0.663 (0.691)	Data 0.002 (0.074)	Loss 4.3040 (4.1766)	Top-1 acc 25.391 (25.817)	Top-5 acc 47.656 (49.161)	lr 0.00357
Warmup Train [34][240/2134]	Time 0.720 (0.689)	Data 0.003 (0.071)	Loss 4.1886 (4.1771)	Top-1 acc 28.516 (25.835)	Top-5 acc 48.438 (49.162)	lr 0.00357
Warmup Train [34][250/2134]	Time 0.670 (0.702)	Data 0.002 (0.069)	Loss 4.1982 (4.1758)	Top-1 acc 25.000 (25.870)	Top-5 acc 49.219 (49.202)	lr 0.00356
Warmup Train [34][260/2134]	Time 0.633 (0.699)	Data 0.002 (0.066)	Loss 4.0449 (4.1756)	Top-1 acc 27.344 (25.843)	Top-5 acc 49.609 (49.183)	lr 0.00356
Warmup Train [34][270/2134]	Time 0.729 (0.696)	Data 0.002 (0.064)	Loss 4.3274 (4.1757)	Top-1 acc 24.219 (25.850)	Top-5 acc 42.578 (49.155)	lr 0.00356
Warmup Train [34][280/2134]	Time 0.603 (0.694)	Data 0.002 (0.062)	Loss 3.8611 (4.1766)	Top-1 acc 34.375 (25.823)	Top-5 acc 56.641 (49.114)	lr 0.00355
Warmup Train [34][290/2134]	Time 0.464 (0.691)	Data 0.002 (0.060)	Loss 4.4006 (4.1783)	Top-1 acc 20.703 (25.799)	Top-5 acc 40.234 (49.068)	lr 0.00355
Warmup Train [34][300/2134]	Time 0.675 (0.689)	Data 0.002 (0.058)	Loss 4.2657 (4.1792)	Top-1 acc 23.438 (25.757)	Top-5 acc 45.703 (49.049)	lr 0.00354
Warmup Train [34][310/2134]	Time 0.400 (0.686)	Data 0.002 (0.057)	Loss 4.3390 (4.1813)	Top-1 acc 21.484 (25.725)	Top-5 acc 42.578 (48.985)	lr 0.00354
Warmup Train [34][320/2134]	Time 0.726 (0.684)	Data 0.002 (0.055)	Loss 4.0980 (4.1803)	Top-1 acc 26.562 (25.764)	Top-5 acc 50.391 (49.014)	lr 0.00353
Warmup Train [34][330/2134]	Time 0.643 (0.682)	Data 0.002 (0.054)	Loss 4.0888 (4.1814)	Top-1 acc 30.469 (25.736)	Top-5 acc 50.781 (48.967)	lr 0.00353
Warmup Train [34][340/2134]	Time 0.375 (0.679)	Data 0.005 (0.052)	Loss 4.1271 (4.1808)	Top-1 acc 25.781 (25.700)	Top-5 acc 50.781 (49.002)	lr 0.00352
Warmup Train [34][350/2134]	Time 0.687 (0.677)	Data 0.002 (0.051)	Loss 4.1254 (4.1818)	Top-1 acc 26.953 (25.677)	Top-5 acc 48.438 (48.986)	lr 0.00352
Warmup Train [34][360/2134]	Time 0.631 (0.675)	Data 0.003 (0.050)	Loss 4.3760 (4.1837)	Top-1 acc 21.875 (25.631)	Top-5 acc 42.969 (48.935)	lr 0.00351
Warmup Train [34][370/2134]	Time 0.695 (0.673)	Data 0.002 (0.049)	Loss 4.0794 (4.1829)	Top-1 acc 27.734 (25.639)	Top-5 acc 50.391 (48.982)	lr 0.00351
Warmup Train [34][380/2134]	Time 0.728 (0.672)	Data 0.002 (0.048)	Loss 4.2871 (4.1825)	Top-1 acc 21.484 (25.643)	Top-5 acc 46.094 (48.968)	lr 0.00350
Warmup Train [34][390/2134]	Time 0.686 (0.671)	Data 0.002 (0.046)	Loss 4.0487 (4.1813)	Top-1 acc 30.469 (25.683)	Top-5 acc 51.953 (48.986)	lr 0.00350
Warmup Train [34][400/2134]	Time 0.702 (0.670)	Data 0.002 (0.045)	Loss 4.3560 (4.1833)	Top-1 acc 21.094 (25.641)	Top-5 acc 48.828 (48.936)	lr 0.00349
Warmup Train [34][410/2134]	Time 0.617 (0.669)	Data 0.002 (0.044)	Loss 4.2935 (4.1842)	Top-1 acc 20.312 (25.603)	Top-5 acc 48.047 (48.916)	lr 0.00349
Warmup Train [34][420/2134]	Time 0.562 (0.667)	Data 0.003 (0.043)	Loss 4.2608 (4.1841)	Top-1 acc 25.000 (25.612)	Top-5 acc 47.266 (48.929)	lr 0.00348
Warmup Train [34][430/2134]	Time 0.583 (0.666)	Data 0.002 (0.042)	Loss 4.3100 (4.1851)	Top-1 acc 25.000 (25.619)	Top-5 acc 44.141 (48.892)	lr 0.00348
Warmup Train [34][440/2134]	Time 0.592 (0.664)	Data 0.006 (0.042)	Loss 4.0521 (4.1848)	Top-1 acc 26.172 (25.613)	Top-5 acc 53.125 (48.887)	lr 0.00348
Warmup Train [34][450/2134]	Time 0.566 (0.663)	Data 0.002 (0.041)	Loss 4.1917 (4.1840)	Top-1 acc 25.000 (25.612)	Top-5 acc 44.922 (48.906)	lr 0.00347
Warmup Train [34][460/2134]	Time 0.582 (0.662)	Data 0.002 (0.040)	Loss 4.2862 (4.1838)	Top-1 acc 20.703 (25.619)	Top-5 acc 44.141 (48.947)	lr 0.00347
Warmup Train [34][470/2134]	Time 0.780 (0.661)	Data 0.003 (0.039)	Loss 4.3678 (4.1843)	Top-1 acc 23.828 (25.630)	Top-5 acc 42.969 (48.929)	lr 0.00346
Warmup Train [34][480/2134]	Time 0.721 (0.660)	Data 0.002 (0.039)	Loss 4.2782 (4.1844)	Top-1 acc 20.312 (25.622)	Top-5 acc 46.484 (48.928)	lr 0.00346
Warmup Train [34][490/2134]	Time 0.510 (0.659)	Data 0.002 (0.038)	Loss 4.2047 (4.1843)	Top-1 acc 24.609 (25.613)	Top-5 acc 48.828 (48.925)	lr 0.00345
Warmup Train [34][500/2134]	Time 0.372 (0.658)	Data 0.002 (0.037)	Loss 4.0734 (4.1834)	Top-1 acc 26.172 (25.654)	Top-5 acc 54.688 (48.978)	lr 0.00345
Warmup Train [34][510/2134]	Time 0.638 (0.657)	Data 0.002 (0.037)	Loss 4.1931 (4.1829)	Top-1 acc 25.781 (25.658)	Top-5 acc 50.391 (48.990)	lr 0.00344
Warmup Train [34][520/2134]	Time 0.711 (0.656)	Data 0.002 (0.036)	Loss 4.2709 (4.1840)	Top-1 acc 21.875 (25.636)	Top-5 acc 46.875 (48.959)	lr 0.00344
Warmup Train [34][530/2134]	Time 0.629 (0.655)	Data 0.002 (0.036)	Loss 4.1946 (4.1839)	Top-1 acc 27.344 (25.618)	Top-5 acc 51.562 (48.964)	lr 0.00343
Warmup Train [34][540/2134]	Time 0.697 (0.654)	Data 0.002 (0.035)	Loss 4.2628 (4.1845)	Top-1 acc 26.953 (25.621)	Top-5 acc 46.484 (48.949)	lr 0.00343
Warmup Train [34][550/2134]	Time 0.782 (0.653)	Data 0.002 (0.035)	Loss 4.0382 (4.1845)	Top-1 acc 27.734 (25.617)	Top-5 acc 51.953 (48.940)	lr 0.00342
Warmup Train [34][560/2134]	Time 0.549 (0.653)	Data 0.002 (0.034)	Loss 4.1763 (4.1850)	Top-1 acc 26.562 (25.609)	Top-5 acc 48.828 (48.933)	lr 0.00342
Warmup Train [34][570/2134]	Time 0.514 (0.658)	Data 0.002 (0.034)	Loss 4.2229 (4.1851)	Top-1 acc 25.000 (25.622)	Top-5 acc 47.656 (48.928)	lr 0.00341
Warmup Train [34][580/2134]	Time 0.499 (0.657)	Data 0.002 (0.034)	Loss 4.2696 (4.1848)	Top-1 acc 26.953 (25.630)	Top-5 acc 46.094 (48.943)	lr 0.00341
Warmup Train [34][590/2134]	Time 0.671 (0.657)	Data 0.002 (0.033)	Loss 4.0006 (4.1841)	Top-1 acc 32.422 (25.629)	Top-5 acc 53.125 (48.964)	lr 0.00341
Warmup Train [34][600/2134]	Time 0.738 (0.656)	Data 0.002 (0.033)	Loss 4.0392 (4.1828)	Top-1 acc 28.516 (25.650)	Top-5 acc 55.469 (49.009)	lr 0.00340
Warmup Train [34][610/2134]	Time 0.414 (0.654)	Data 0.002 (0.032)	Loss 4.0813 (4.1827)	Top-1 acc 26.953 (25.660)	Top-5 acc 51.562 (49.042)	lr 0.00340
Warmup Train [34][620/2134]	Time 0.652 (0.654)	Data 0.002 (0.032)	Loss 4.1446 (4.1821)	Top-1 acc 26.172 (25.665)	Top-5 acc 50.391 (49.054)	lr 0.00339
Warmup Train [34][630/2134]	Time 0.608 (0.653)	Data 0.004 (0.032)	Loss 4.2705 (4.1833)	Top-1 acc 25.000 (25.646)	Top-5 acc 47.656 (49.019)	lr 0.00339
Warmup Train [34][640/2134]	Time 0.635 (0.653)	Data 0.002 (0.031)	Loss 4.2459 (4.1833)	Top-1 acc 25.000 (25.656)	Top-5 acc 45.703 (49.016)	lr 0.00338
Warmup Train [34][650/2134]	Time 0.602 (0.652)	Data 0.004 (0.031)	Loss 4.2642 (4.1832)	Top-1 acc 21.484 (25.655)	Top-5 acc 48.438 (49.027)	lr 0.00338
Warmup Train [34][660/2134]	Time 0.618 (0.651)	Data 0.002 (0.030)	Loss 4.3303 (4.1835)	Top-1 acc 25.000 (25.652)	Top-5 acc 45.703 (49.023)	lr 0.00337
Warmup Train [34][670/2134]	Time 0.427 (0.651)	Data 0.002 (0.030)	Loss 4.1719 (4.1835)	Top-1 acc 25.000 (25.649)	Top-5 acc 50.391 (49.026)	lr 0.00337
Warmup Train [34][680/2134]	Time 0.765 (0.651)	Data 0.002 (0.030)	Loss 4.1744 (4.1826)	Top-1 acc 22.656 (25.675)	Top-5 acc 49.609 (49.054)	lr 0.00336
Warmup Train [34][690/2134]	Time 0.608 (0.650)	Data 0.004 (0.029)	Loss 4.1530 (4.1823)	Top-1 acc 25.000 (25.682)	Top-5 acc 50.781 (49.066)	lr 0.00336
Warmup Train [34][700/2134]	Time 0.605 (0.649)	Data 0.002 (0.029)	Loss 4.2063 (4.1823)	Top-1 acc 23.828 (25.689)	Top-5 acc 50.781 (49.077)	lr 0.00335
Warmup Train [34][710/2134]	Time 0.550 (0.648)	Data 0.003 (0.029)	Loss 4.2139 (4.1814)	Top-1 acc 28.516 (25.684)	Top-5 acc 48.828 (49.088)	lr 0.00335
Warmup Train [34][720/2134]	Time 0.626 (0.647)	Data 0.002 (0.028)	Loss 4.1335 (4.1818)	Top-1 acc 32.422 (25.678)	Top-5 acc 50.000 (49.077)	lr 0.00335
Warmup Train [34][730/2134]	Time 0.456 (0.647)	Data 0.002 (0.028)	Loss 4.3312 (4.1812)	Top-1 acc 19.922 (25.672)	Top-5 acc 43.750 (49.093)	lr 0.00334
Warmup Train [34][740/2134]	Time 0.569 (0.646)	Data 0.002 (0.028)	Loss 4.2136 (4.1807)	Top-1 acc 25.391 (25.681)	Top-5 acc 46.484 (49.093)	lr 0.00334
Warmup Train [34][750/2134]	Time 0.597 (0.646)	Data 0.002 (0.028)	Loss 4.2129 (4.1814)	Top-1 acc 26.562 (25.685)	Top-5 acc 46.094 (49.069)	lr 0.00333
Warmup Train [34][760/2134]	Time 0.739 (0.645)	Data 0.002 (0.027)	Loss 4.3367 (4.1822)	Top-1 acc 23.438 (25.671)	Top-5 acc 45.703 (49.051)	lr 0.00333
Warmup Train [34][770/2134]	Time 0.759 (0.645)	Data 0.002 (0.027)	Loss 4.1472 (4.1823)	Top-1 acc 25.391 (25.666)	Top-5 acc 48.828 (49.050)	lr 0.00332
Warmup Train [34][780/2134]	Time 0.725 (0.645)	Data 0.002 (0.027)	Loss 4.1934 (4.1823)	Top-1 acc 24.609 (25.660)	Top-5 acc 48.047 (49.046)	lr 0.00332
Warmup Train [34][790/2134]	Time 0.634 (0.644)	Data 0.003 (0.026)	Loss 4.1350 (4.1820)	Top-1 acc 29.297 (25.667)	Top-5 acc 47.266 (49.055)	lr 0.00331
Warmup Train [34][800/2134]	Time 0.645 (0.644)	Data 0.002 (0.026)	Loss 4.0603 (4.1808)	Top-1 acc 25.781 (25.672)	Top-5 acc 53.906 (49.072)	lr 0.00331
Warmup Train [34][810/2134]	Time 0.653 (0.644)	Data 0.002 (0.026)	Loss 4.0454 (4.1811)	Top-1 acc 28.125 (25.677)	Top-5 acc 52.734 (49.079)	lr 0.00330
Warmup Train [34][820/2134]	Time 0.689 (0.643)	Data 0.002 (0.026)	Loss 4.3082 (4.1807)	Top-1 acc 21.484 (25.682)	Top-5 acc 46.484 (49.090)	lr 0.00330
Warmup Train [34][830/2134]	Time 0.737 (0.643)	Data 0.002 (0.025)	Loss 4.0769 (4.1802)	Top-1 acc 28.516 (25.695)	Top-5 acc 49.609 (49.097)	lr 0.00330
Warmup Train [34][840/2134]	Time 0.612 (0.642)	Data 0.002 (0.025)	Loss 4.2051 (4.1811)	Top-1 acc 26.953 (25.682)	Top-5 acc 49.609 (49.086)	lr 0.00329
Warmup Train [34][850/2134]	Time 0.723 (0.642)	Data 0.002 (0.025)	Loss 4.2446 (4.1810)	Top-1 acc 22.656 (25.691)	Top-5 acc 46.094 (49.082)	lr 0.00329
Warmup Train [34][860/2134]	Time 0.715 (0.642)	Data 0.002 (0.025)	Loss 4.0578 (4.1818)	Top-1 acc 31.250 (25.691)	Top-5 acc 50.391 (49.064)	lr 0.00328
Warmup Train [34][870/2134]	Time 0.607 (0.642)	Data 0.003 (0.024)	Loss 4.2744 (4.1815)	Top-1 acc 27.344 (25.714)	Top-5 acc 46.094 (49.071)	lr 0.00328
Warmup Train [34][880/2134]	Time 0.742 (0.641)	Data 0.002 (0.024)	Loss 4.2511 (4.1812)	Top-1 acc 22.656 (25.708)	Top-5 acc 48.828 (49.084)	lr 0.00327
Warmup Train [34][890/2134]	Time 0.423 (0.644)	Data 0.002 (0.024)	Loss 3.9816 (4.1807)	Top-1 acc 28.906 (25.729)	Top-5 acc 55.078 (49.101)	lr 0.00327
Warmup Train [34][900/2134]	Time 0.800 (0.644)	Data 0.002 (0.024)	Loss 4.0817 (4.1801)	Top-1 acc 25.000 (25.731)	Top-5 acc 50.391 (49.113)	lr 0.00326
Warmup Train [34][910/2134]	Time 0.723 (0.644)	Data 0.002 (0.024)	Loss 4.1575 (4.1795)	Top-1 acc 23.438 (25.745)	Top-5 acc 48.438 (49.125)	lr 0.00326
Warmup Train [34][920/2134]	Time 0.618 (0.643)	Data 0.003 (0.023)	Loss 4.2203 (4.1798)	Top-1 acc 24.219 (25.739)	Top-5 acc 43.750 (49.117)	lr 0.00325
Warmup Train [34][930/2134]	Time 0.484 (0.643)	Data 0.002 (0.023)	Loss 4.1822 (4.1798)	Top-1 acc 24.609 (25.730)	Top-5 acc 49.609 (49.121)	lr 0.00325
Warmup Train [34][940/2134]	Time 0.768 (0.643)	Data 0.002 (0.023)	Loss 4.2530 (4.1801)	Top-1 acc 24.609 (25.725)	Top-5 acc 47.266 (49.115)	lr 0.00325
Warmup Train [34][950/2134]	Time 0.508 (0.642)	Data 0.002 (0.023)	Loss 4.1008 (4.1801)	Top-1 acc 27.734 (25.725)	Top-5 acc 53.516 (49.112)	lr 0.00324
Warmup Train [34][960/2134]	Time 0.475 (0.642)	Data 0.002 (0.023)	Loss 4.1359 (4.1802)	Top-1 acc 25.000 (25.716)	Top-5 acc 48.828 (49.108)	lr 0.00324
Warmup Train [34][970/2134]	Time 0.626 (0.642)	Data 0.002 (0.023)	Loss 4.3012 (4.1802)	Top-1 acc 21.484 (25.715)	Top-5 acc 44.141 (49.105)	lr 0.00323
Warmup Train [34][980/2134]	Time 0.692 (0.641)	Data 0.002 (0.023)	Loss 3.9956 (4.1801)	Top-1 acc 34.375 (25.721)	Top-5 acc 55.469 (49.120)	lr 0.00323
Warmup Train [34][990/2134]	Time 0.606 (0.641)	Data 0.002 (0.022)	Loss 3.9716 (4.1804)	Top-1 acc 29.688 (25.722)	Top-5 acc 53.906 (49.116)	lr 0.00322
Warmup Train [34][1000/2134]	Time 0.640 (0.641)	Data 0.002 (0.022)	Loss 4.2679 (4.1804)	Top-1 acc 23.828 (25.723)	Top-5 acc 46.094 (49.107)	lr 0.00322
Warmup Train [34][1010/2134]	Time 0.643 (0.641)	Data 0.002 (0.022)	Loss 4.1258 (4.1805)	Top-1 acc 29.688 (25.728)	Top-5 acc 49.219 (49.101)	lr 0.00321
Warmup Train [34][1020/2134]	Time 0.626 (0.641)	Data 0.003 (0.022)	Loss 4.4348 (4.1811)	Top-1 acc 23.828 (25.720)	Top-5 acc 42.969 (49.089)	lr 0.00321
Warmup Train [34][1030/2134]	Time 0.600 (0.640)	Data 0.002 (0.022)	Loss 4.2611 (4.1809)	Top-1 acc 22.266 (25.725)	Top-5 acc 45.703 (49.098)	lr 0.00320
Warmup Train [34][1040/2134]	Time 0.583 (0.640)	Data 0.002 (0.022)	Loss 4.2560 (4.1808)	Top-1 acc 24.609 (25.728)	Top-5 acc 48.828 (49.105)	lr 0.00320
Warmup Train [34][1050/2134]	Time 0.807 (0.640)	Data 0.002 (0.022)	Loss 4.1046 (4.1807)	Top-1 acc 26.953 (25.720)	Top-5 acc 49.609 (49.107)	lr 0.00320
Warmup Train [34][1060/2134]	Time 0.574 (0.639)	Data 0.002 (0.021)	Loss 4.2900 (4.1806)	Top-1 acc 23.047 (25.715)	Top-5 acc 48.047 (49.109)	lr 0.00319
Warmup Train [34][1070/2134]	Time 0.739 (0.639)	Data 0.002 (0.021)	Loss 4.1353 (4.1804)	Top-1 acc 26.172 (25.713)	Top-5 acc 52.344 (49.115)	lr 0.00319
Warmup Train [34][1080/2134]	Time 0.553 (0.639)	Data 0.002 (0.021)	Loss 4.2324 (4.1804)	Top-1 acc 23.047 (25.708)	Top-5 acc 50.781 (49.118)	lr 0.00318
Warmup Train [34][1090/2134]	Time 0.629 (0.639)	Data 0.002 (0.021)	Loss 4.0829 (4.1812)	Top-1 acc 27.734 (25.691)	Top-5 acc 48.828 (49.097)	lr 0.00318
Warmup Train [34][1100/2134]	Time 0.601 (0.638)	Data 0.003 (0.021)	Loss 4.2622 (4.1814)	Top-1 acc 28.516 (25.681)	Top-5 acc 46.875 (49.076)	lr 0.00317
Warmup Train [34][1110/2134]	Time 0.717 (0.638)	Data 0.002 (0.021)	Loss 4.3782 (4.1817)	Top-1 acc 20.703 (25.678)	Top-5 acc 44.531 (49.068)	lr 0.00317
Warmup Train [34][1120/2134]	Time 0.471 (0.638)	Data 0.002 (0.021)	Loss 4.0319 (4.1814)	Top-1 acc 30.078 (25.685)	Top-5 acc 52.344 (49.076)	lr 0.00316
Warmup Train [34][1130/2134]	Time 0.438 (0.637)	Data 0.002 (0.021)	Loss 4.0849 (4.1815)	Top-1 acc 29.297 (25.689)	Top-5 acc 53.906 (49.079)	lr 0.00316
Warmup Train [34][1140/2134]	Time 0.504 (0.637)	Data 0.003 (0.021)	Loss 4.1985 (4.1814)	Top-1 acc 24.609 (25.688)	Top-5 acc 47.266 (49.085)	lr 0.00316
Warmup Train [34][1150/2134]	Time 0.655 (0.637)	Data 0.002 (0.021)	Loss 4.1019 (4.1804)	Top-1 acc 25.000 (25.705)	Top-5 acc 53.516 (49.104)	lr 0.00315
Warmup Train [34][1160/2134]	Time 0.648 (0.637)	Data 0.003 (0.020)	Loss 4.1210 (4.1808)	Top-1 acc 27.734 (25.693)	Top-5 acc 51.562 (49.097)	lr 0.00315
Warmup Train [34][1170/2134]	Time 0.812 (0.637)	Data 0.002 (0.020)	Loss 4.2580 (4.1806)	Top-1 acc 22.656 (25.691)	Top-5 acc 49.609 (49.101)	lr 0.00314
Warmup Train [34][1180/2134]	Time 0.607 (0.637)	Data 0.003 (0.020)	Loss 4.1606 (4.1803)	Top-1 acc 25.391 (25.704)	Top-5 acc 49.219 (49.113)	lr 0.00314
Warmup Train [34][1190/2134]	Time 0.492 (0.636)	Data 0.003 (0.020)	Loss 4.0848 (4.1804)	Top-1 acc 29.297 (25.700)	Top-5 acc 49.609 (49.106)	lr 0.00313
Warmup Train [34][1200/2134]	Time 0.642 (0.637)	Data 0.002 (0.020)	Loss 4.3537 (4.1806)	Top-1 acc 20.312 (25.691)	Top-5 acc 45.703 (49.097)	lr 0.00313
Warmup Train [34][1210/2134]	Time 0.683 (0.636)	Data 0.005 (0.020)	Loss 4.0916 (4.1807)	Top-1 acc 26.562 (25.683)	Top-5 acc 51.172 (49.092)	lr 0.00312
Warmup Train [34][1220/2134]	Time 0.522 (0.639)	Data 0.003 (0.020)	Loss 4.1700 (4.1809)	Top-1 acc 23.438 (25.686)	Top-5 acc 45.312 (49.079)	lr 0.00312
Warmup Train [34][1230/2134]	Time 0.778 (0.639)	Data 0.002 (0.020)	Loss 4.2630 (4.1806)	Top-1 acc 25.000 (25.699)	Top-5 acc 47.656 (49.087)	lr 0.00311
Warmup Train [34][1240/2134]	Time 0.449 (0.638)	Data 0.002 (0.019)	Loss 4.2252 (4.1807)	Top-1 acc 20.312 (25.690)	Top-5 acc 46.094 (49.085)	lr 0.00311
Warmup Train [34][1250/2134]	Time 0.618 (0.638)	Data 0.002 (0.019)	Loss 4.0900 (4.1806)	Top-1 acc 29.297 (25.694)	Top-5 acc 51.562 (49.084)	lr 0.00311
Warmup Train [34][1260/2134]	Time 0.522 (0.638)	Data 0.002 (0.019)	Loss 4.1449 (4.1804)	Top-1 acc 26.172 (25.694)	Top-5 acc 49.219 (49.096)	lr 0.00310
Warmup Train [34][1270/2134]	Time 0.485 (0.638)	Data 0.003 (0.019)	Loss 4.1390 (4.1799)	Top-1 acc 25.000 (25.696)	Top-5 acc 52.344 (49.108)	lr 0.00310
Warmup Train [34][1280/2134]	Time 0.496 (0.637)	Data 0.002 (0.019)	Loss 4.0758 (4.1800)	Top-1 acc 23.828 (25.705)	Top-5 acc 53.125 (49.104)	lr 0.00309
Warmup Train [34][1290/2134]	Time 0.775 (0.637)	Data 0.002 (0.019)	Loss 4.4442 (4.1803)	Top-1 acc 20.312 (25.694)	Top-5 acc 46.875 (49.096)	lr 0.00309
Warmup Train [34][1300/2134]	Time 0.694 (0.637)	Data 0.002 (0.019)	Loss 4.1384 (4.1805)	Top-1 acc 24.609 (25.685)	Top-5 acc 50.781 (49.095)	lr 0.00308
Warmup Train [34][1310/2134]	Time 0.653 (0.637)	Data 0.003 (0.019)	Loss 4.2884 (4.1806)	Top-1 acc 28.516 (25.691)	Top-5 acc 48.047 (49.096)	lr 0.00308
Warmup Train [34][1320/2134]	Time 0.393 (0.636)	Data 0.002 (0.019)	Loss 4.2601 (4.1808)	Top-1 acc 25.781 (25.697)	Top-5 acc 48.047 (49.087)	lr 0.00308
Warmup Train [34][1330/2134]	Time 0.743 (0.636)	Data 0.002 (0.019)	Loss 4.1883 (4.1805)	Top-1 acc 23.047 (25.706)	Top-5 acc 50.391 (49.099)	lr 0.00307
Warmup Train [34][1340/2134]	Time 0.726 (0.636)	Data 0.002 (0.019)	Loss 4.3440 (4.1805)	Top-1 acc 23.047 (25.698)	Top-5 acc 42.969 (49.091)	lr 0.00307
Warmup Train [34][1350/2134]	Time 0.558 (0.636)	Data 0.004 (0.018)	Loss 4.4028 (4.1806)	Top-1 acc 22.656 (25.699)	Top-5 acc 42.188 (49.085)	lr 0.00306
Warmup Train [34][1360/2134]	Time 0.661 (0.636)	Data 0.002 (0.018)	Loss 4.1058 (4.1803)	Top-1 acc 25.781 (25.702)	Top-5 acc 49.219 (49.091)	lr 0.00306
Warmup Train [34][1370/2134]	Time 0.612 (0.635)	Data 0.002 (0.018)	Loss 4.0778 (4.1803)	Top-1 acc 25.781 (25.706)	Top-5 acc 50.391 (49.087)	lr 0.00305
Warmup Train [34][1380/2134]	Time 0.778 (0.635)	Data 0.003 (0.018)	Loss 4.1961 (4.1800)	Top-1 acc 26.172 (25.705)	Top-5 acc 47.266 (49.093)	lr 0.00305
Warmup Train [34][1390/2134]	Time 0.575 (0.635)	Data 0.002 (0.018)	Loss 4.2759 (4.1798)	Top-1 acc 19.141 (25.705)	Top-5 acc 48.438 (49.100)	lr 0.00304
Warmup Train [34][1400/2134]	Time 0.460 (0.635)	Data 0.003 (0.018)	Loss 4.2396 (4.1794)	Top-1 acc 25.000 (25.714)	Top-5 acc 46.875 (49.105)	lr 0.00304
Warmup Train [34][1410/2134]	Time 0.690 (0.635)	Data 0.002 (0.018)	Loss 4.2141 (4.1791)	Top-1 acc 22.656 (25.714)	Top-5 acc 48.047 (49.111)	lr 0.00304
Warmup Train [34][1420/2134]	Time 0.587 (0.635)	Data 0.002 (0.018)	Loss 4.1380 (4.1788)	Top-1 acc 25.000 (25.725)	Top-5 acc 50.000 (49.115)	lr 0.00303
Warmup Train [34][1430/2134]	Time 0.533 (0.634)	Data 0.003 (0.018)	Loss 4.1878 (4.1789)	Top-1 acc 25.000 (25.728)	Top-5 acc 45.703 (49.100)	lr 0.00303
Warmup Train [34][1440/2134]	Time 0.376 (0.634)	Data 0.002 (0.018)	Loss 4.2355 (4.1791)	Top-1 acc 23.438 (25.724)	Top-5 acc 49.609 (49.097)	lr 0.00302
Warmup Train [34][1450/2134]	Time 0.626 (0.634)	Data 0.003 (0.018)	Loss 4.1634 (4.1791)	Top-1 acc 26.172 (25.714)	Top-5 acc 50.000 (49.090)	lr 0.00302
Warmup Train [34][1460/2134]	Time 0.642 (0.634)	Data 0.002 (0.018)	Loss 4.2508 (4.1795)	Top-1 acc 23.828 (25.705)	Top-5 acc 47.266 (49.082)	lr 0.00301
Warmup Train [34][1470/2134]	Time 0.511 (0.633)	Data 0.002 (0.018)	Loss 4.1653 (4.1792)	Top-1 acc 27.344 (25.718)	Top-5 acc 46.875 (49.094)	lr 0.00301
Warmup Train [34][1480/2134]	Time 0.653 (0.633)	Data 0.002 (0.018)	Loss 4.0957 (4.1790)	Top-1 acc 29.297 (25.723)	Top-5 acc 50.781 (49.093)	lr 0.00300
Warmup Train [34][1490/2134]	Time 0.489 (0.633)	Data 0.002 (0.018)	Loss 4.1724 (4.1789)	Top-1 acc 25.781 (25.728)	Top-5 acc 48.047 (49.097)	lr 0.00300
Warmup Train [34][1500/2134]	Time 0.437 (0.633)	Data 0.003 (0.017)	Loss 4.3552 (4.1792)	Top-1 acc 23.828 (25.720)	Top-5 acc 46.094 (49.090)	lr 0.00300
Warmup Train [34][1510/2134]	Time 0.490 (0.633)	Data 0.002 (0.017)	Loss 4.2050 (4.1793)	Top-1 acc 23.438 (25.717)	Top-5 acc 48.438 (49.089)	lr 0.00299
Warmup Train [34][1520/2134]	Time 0.698 (0.633)	Data 0.002 (0.017)	Loss 4.1875 (4.1791)	Top-1 acc 29.297 (25.720)	Top-5 acc 52.344 (49.101)	lr 0.00299
Warmup Train [34][1530/2134]	Time 0.584 (0.633)	Data 0.002 (0.017)	Loss 4.1541 (4.1790)	Top-1 acc 24.609 (25.726)	Top-5 acc 50.781 (49.106)	lr 0.00298
Warmup Train [34][1540/2134]	Time 0.674 (0.634)	Data 0.002 (0.017)	Loss 4.1984 (4.1788)	Top-1 acc 19.922 (25.722)	Top-5 acc 48.047 (49.114)	lr 0.00298
Warmup Train [34][1550/2134]	Time 0.464 (0.634)	Data 0.002 (0.017)	Loss 4.1220 (4.1786)	Top-1 acc 23.828 (25.722)	Top-5 acc 53.125 (49.121)	lr 0.00297
Warmup Train [34][1560/2134]	Time 0.550 (0.634)	Data 0.002 (0.017)	Loss 4.1374 (4.1786)	Top-1 acc 26.172 (25.726)	Top-5 acc 50.781 (49.126)	lr 0.00297
Warmup Train [34][1570/2134]	Time 0.600 (0.634)	Data 0.002 (0.017)	Loss 4.3319 (4.1784)	Top-1 acc 25.391 (25.729)	Top-5 acc 47.266 (49.130)	lr 0.00297
Warmup Train [34][1580/2134]	Time 0.497 (0.633)	Data 0.002 (0.017)	Loss 4.1773 (4.1786)	Top-1 acc 27.344 (25.722)	Top-5 acc 48.438 (49.118)	lr 0.00296
Warmup Train [34][1590/2134]	Time 0.686 (0.633)	Data 0.002 (0.017)	Loss 4.1448 (4.1786)	Top-1 acc 24.609 (25.721)	Top-5 acc 48.438 (49.119)	lr 0.00296
Warmup Train [34][1600/2134]	Time 0.704 (0.633)	Data 0.002 (0.017)	Loss 4.1241 (4.1788)	Top-1 acc 27.734 (25.728)	Top-5 acc 48.047 (49.112)	lr 0.00295
Warmup Train [34][1610/2134]	Time 0.744 (0.633)	Data 0.002 (0.017)	Loss 4.1019 (4.1786)	Top-1 acc 25.391 (25.730)	Top-5 acc 51.953 (49.118)	lr 0.00295
Warmup Train [34][1620/2134]	Time 0.600 (0.633)	Data 0.002 (0.017)	Loss 4.2115 (4.1783)	Top-1 acc 25.391 (25.735)	Top-5 acc 48.047 (49.116)	lr 0.00294
Warmup Train [34][1630/2134]	Time 0.617 (0.633)	Data 0.002 (0.017)	Loss 4.3047 (4.1784)	Top-1 acc 23.438 (25.727)	Top-5 acc 44.922 (49.114)	lr 0.00294
Warmup Train [34][1640/2134]	Time 0.559 (0.633)	Data 0.002 (0.017)	Loss 3.9955 (4.1782)	Top-1 acc 25.781 (25.728)	Top-5 acc 51.953 (49.115)	lr 0.00294
Warmup Train [34][1650/2134]	Time 0.593 (0.632)	Data 0.002 (0.017)	Loss 4.1650 (4.1781)	Top-1 acc 25.781 (25.736)	Top-5 acc 52.344 (49.120)	lr 0.00293
Warmup Train [34][1660/2134]	Time 0.628 (0.632)	Data 0.002 (0.017)	Loss 4.0763 (4.1785)	Top-1 acc 31.250 (25.732)	Top-5 acc 51.172 (49.112)	lr 0.00293
Warmup Train [34][1670/2134]	Time 0.517 (0.632)	Data 0.002 (0.017)	Loss 4.3007 (4.1787)	Top-1 acc 22.656 (25.726)	Top-5 acc 45.312 (49.105)	lr 0.00292
Warmup Train [34][1680/2134]	Time 0.577 (0.632)	Data 0.002 (0.017)	Loss 4.1261 (4.1788)	Top-1 acc 25.000 (25.724)	Top-5 acc 51.562 (49.104)	lr 0.00292
Warmup Train [34][1690/2134]	Time 0.546 (0.632)	Data 0.002 (0.016)	Loss 4.3048 (4.1788)	Top-1 acc 21.484 (25.723)	Top-5 acc 43.359 (49.098)	lr 0.00291
Warmup Train [34][1700/2134]	Time 0.674 (0.632)	Data 0.002 (0.016)	Loss 4.1870 (4.1790)	Top-1 acc 28.125 (25.723)	Top-5 acc 50.781 (49.093)	lr 0.00291
Warmup Train [34][1710/2134]	Time 0.601 (0.632)	Data 0.002 (0.016)	Loss 4.1877 (4.1792)	Top-1 acc 23.828 (25.715)	Top-5 acc 53.125 (49.088)	lr 0.00290
Warmup Train [34][1720/2134]	Time 0.673 (0.631)	Data 0.002 (0.016)	Loss 4.2999 (4.1792)	Top-1 acc 22.656 (25.715)	Top-5 acc 47.266 (49.093)	lr 0.00290
Warmup Train [34][1730/2134]	Time 0.459 (0.631)	Data 0.002 (0.016)	Loss 4.2791 (4.1791)	Top-1 acc 23.047 (25.726)	Top-5 acc 46.094 (49.100)	lr 0.00290
Warmup Train [34][1740/2134]	Time 0.650 (0.631)	Data 0.002 (0.016)	Loss 4.4463 (4.1792)	Top-1 acc 23.047 (25.727)	Top-5 acc 41.797 (49.093)	lr 0.00289
Warmup Train [34][1750/2134]	Time 0.449 (0.631)	Data 0.003 (0.016)	Loss 4.0502 (4.1790)	Top-1 acc 32.031 (25.734)	Top-5 acc 52.344 (49.101)	lr 0.00289
Warmup Train [34][1760/2134]	Time 0.405 (0.631)	Data 0.002 (0.016)	Loss 4.2022 (4.1790)	Top-1 acc 21.484 (25.728)	Top-5 acc 45.703 (49.097)	lr 0.00288
Warmup Train [34][1770/2134]	Time 0.435 (0.631)	Data 0.002 (0.016)	Loss 3.9824 (4.1788)	Top-1 acc 31.250 (25.734)	Top-5 acc 53.516 (49.096)	lr 0.00288
Warmup Train [34][1780/2134]	Time 0.446 (0.631)	Data 0.002 (0.016)	Loss 4.1774 (4.1784)	Top-1 acc 27.734 (25.741)	Top-5 acc 46.875 (49.104)	lr 0.00287
Warmup Train [34][1790/2134]	Time 0.445 (0.631)	Data 0.002 (0.016)	Loss 4.3036 (4.1784)	Top-1 acc 27.344 (25.740)	Top-5 acc 46.875 (49.100)	lr 0.00287
Warmup Train [34][1800/2134]	Time 0.633 (0.631)	Data 0.002 (0.016)	Loss 4.1995 (4.1787)	Top-1 acc 23.828 (25.736)	Top-5 acc 49.219 (49.095)	lr 0.00287
Warmup Train [34][1810/2134]	Time 0.410 (0.630)	Data 0.002 (0.016)	Loss 4.4356 (4.1788)	Top-1 acc 20.703 (25.735)	Top-5 acc 42.188 (49.094)	lr 0.00286
Warmup Train [34][1820/2134]	Time 0.665 (0.630)	Data 0.002 (0.016)	Loss 3.9330 (4.1785)	Top-1 acc 30.859 (25.737)	Top-5 acc 54.297 (49.102)	lr 0.00286
Warmup Train [34][1830/2134]	Time 0.472 (0.630)	Data 0.002 (0.016)	Loss 4.1538 (4.1784)	Top-1 acc 25.781 (25.743)	Top-5 acc 51.953 (49.108)	lr 0.00285
Warmup Train [34][1840/2134]	Time 0.358 (0.630)	Data 0.002 (0.016)	Loss 4.0879 (4.1783)	Top-1 acc 29.688 (25.741)	Top-5 acc 51.172 (49.104)	lr 0.00285
Warmup Train [34][1850/2134]	Time 0.446 (0.629)	Data 0.002 (0.016)	Loss 4.1651 (4.1784)	Top-1 acc 28.906 (25.742)	Top-5 acc 48.438 (49.102)	lr 0.00285
Warmup Train [34][1860/2134]	Time 0.729 (0.631)	Data 0.002 (0.016)	Loss 4.1341 (4.1781)	Top-1 acc 29.688 (25.748)	Top-5 acc 51.172 (49.112)	lr 0.00284
Warmup Train [34][1870/2134]	Time 0.692 (0.631)	Data 0.002 (0.016)	Loss 4.0963 (4.1780)	Top-1 acc 33.594 (25.757)	Top-5 acc 49.219 (49.117)	lr 0.00284
Warmup Train [34][1880/2134]	Time 0.504 (0.631)	Data 0.002 (0.016)	Loss 4.2266 (4.1781)	Top-1 acc 26.953 (25.760)	Top-5 acc 44.141 (49.115)	lr 0.00283
Warmup Train [34][1890/2134]	Time 0.680 (0.631)	Data 0.002 (0.016)	Loss 4.0839 (4.1778)	Top-1 acc 33.594 (25.768)	Top-5 acc 51.562 (49.122)	lr 0.00283
Warmup Train [34][1900/2134]	Time 0.592 (0.631)	Data 0.002 (0.016)	Loss 4.1618 (4.1778)	Top-1 acc 27.734 (25.773)	Top-5 acc 50.000 (49.124)	lr 0.00282
Warmup Train [34][1910/2134]	Time 0.681 (0.630)	Data 0.002 (0.016)	Loss 4.2853 (4.1780)	Top-1 acc 25.781 (25.768)	Top-5 acc 50.391 (49.117)	lr 0.00282
Warmup Train [34][1920/2134]	Time 0.531 (0.630)	Data 0.002 (0.016)	Loss 4.2005 (4.1779)	Top-1 acc 26.172 (25.769)	Top-5 acc 46.094 (49.117)	lr 0.00282
Warmup Train [34][1930/2134]	Time 0.714 (0.630)	Data 0.002 (0.016)	Loss 4.1741 (4.1780)	Top-1 acc 21.484 (25.761)	Top-5 acc 50.000 (49.115)	lr 0.00281
Warmup Train [34][1940/2134]	Time 0.432 (0.630)	Data 0.002 (0.016)	Loss 4.3442 (4.1781)	Top-1 acc 21.094 (25.761)	Top-5 acc 47.266 (49.110)	lr 0.00281
Warmup Train [34][1950/2134]	Time 0.597 (0.630)	Data 0.002 (0.016)	Loss 4.2366 (4.1782)	Top-1 acc 23.047 (25.760)	Top-5 acc 50.781 (49.109)	lr 0.00280
Warmup Train [34][1960/2134]	Time 0.601 (0.630)	Data 0.003 (0.016)	Loss 4.1677 (4.1781)	Top-1 acc 25.000 (25.760)	Top-5 acc 49.219 (49.111)	lr 0.00280
Warmup Train [34][1970/2134]	Time 0.533 (0.630)	Data 0.002 (0.016)	Loss 4.2137 (4.1781)	Top-1 acc 26.562 (25.757)	Top-5 acc 49.609 (49.112)	lr 0.00279
Warmup Train [34][1980/2134]	Time 0.421 (0.629)	Data 0.002 (0.015)	Loss 4.1280 (4.1776)	Top-1 acc 25.391 (25.762)	Top-5 acc 50.391 (49.119)	lr 0.00279
Warmup Train [34][1990/2134]	Time 0.515 (0.629)	Data 0.002 (0.016)	Loss 4.0819 (4.1777)	Top-1 acc 28.516 (25.761)	Top-5 acc 53.906 (49.117)	lr 0.00279
Warmup Train [34][2000/2134]	Time 0.635 (0.629)	Data 0.002 (0.016)	Loss 4.1354 (4.1778)	Top-1 acc 26.562 (25.760)	Top-5 acc 51.172 (49.115)	lr 0.00278
Warmup Train [34][2010/2134]	Time 0.686 (0.629)	Data 0.002 (0.015)	Loss 4.0978 (4.1775)	Top-1 acc 26.953 (25.761)	Top-5 acc 48.047 (49.113)	lr 0.00278
Warmup Train [34][2020/2134]	Time 0.652 (0.629)	Data 0.002 (0.015)	Loss 4.1132 (4.1775)	Top-1 acc 26.172 (25.763)	Top-5 acc 49.219 (49.113)	lr 0.00277
Warmup Train [34][2030/2134]	Time 0.613 (0.629)	Data 0.002 (0.015)	Loss 4.2406 (4.1774)	Top-1 acc 23.047 (25.769)	Top-5 acc 46.484 (49.115)	lr 0.00277
Warmup Train [34][2040/2134]	Time 0.690 (0.629)	Data 0.002 (0.015)	Loss 4.0381 (4.1771)	Top-1 acc 29.688 (25.771)	Top-5 acc 51.172 (49.124)	lr 0.00276
Warmup Train [34][2050/2134]	Time 0.749 (0.629)	Data 0.002 (0.015)	Loss 4.0686 (4.1769)	Top-1 acc 26.172 (25.775)	Top-5 acc 53.906 (49.131)	lr 0.00276
Warmup Train [34][2060/2134]	Time 0.582 (0.629)	Data 0.002 (0.015)	Loss 4.1948 (4.1770)	Top-1 acc 25.781 (25.774)	Top-5 acc 50.781 (49.127)	lr 0.00276
Warmup Train [34][2070/2134]	Time 0.722 (0.629)	Data 0.002 (0.015)	Loss 4.1270 (4.1771)	Top-1 acc 28.906 (25.773)	Top-5 acc 55.078 (49.130)	lr 0.00275
Warmup Train [34][2080/2134]	Time 0.632 (0.628)	Data 0.000 (0.015)	Loss 4.1617 (4.1769)	Top-1 acc 28.906 (25.780)	Top-5 acc 48.047 (49.134)	lr 0.00275
Warmup Train [34][2090/2134]	Time 0.622 (0.628)	Data 0.000 (0.015)	Loss 4.2145 (4.1766)	Top-1 acc 25.781 (25.784)	Top-5 acc 52.344 (49.143)	lr 0.00274
Warmup Train [34][2100/2134]	Time 0.479 (0.628)	Data 0.000 (0.015)	Loss 3.7974 (4.1763)	Top-1 acc 31.250 (25.786)	Top-5 acc 56.250 (49.152)	lr 0.00274
Warmup Train [34][2110/2134]	Time 0.754 (0.628)	Data 0.000 (0.015)	Loss 3.9265 (4.1762)	Top-1 acc 30.078 (25.787)	Top-5 acc 54.688 (49.156)	lr 0.00274
Warmup Train [34][2120/2134]	Time 0.552 (0.627)	Data 0.000 (0.015)	Loss 4.1857 (4.1760)	Top-1 acc 22.266 (25.789)	Top-5 acc 50.391 (49.161)	lr 0.00273
Warmup Train [34][2130/2134]	Time 0.718 (0.627)	Data 0.000 (0.015)	Loss 4.1400 (4.1761)	Top-1 acc 26.562 (25.791)	Top-5 acc 47.266 (49.159)	lr 0.00273
Warmup Train [34][2134/2134]	Time 0.488 (0.627)	Data 0.000 (0.015)	Loss 4.2652 (4.1762)	Top-1 acc 20.856 (25.789)	Top-5 acc 43.316 (49.157)	lr 0.00273
==========Warmup Valid [34/40]	loss 3.186	top-1 acc 32.923	top-5 acc 58.761	Train top-1 25.789	top-5 49.157	flops: 442.4M
Warmup Train [35][0/2134]	Time 14.932 (14.932)	Data 12.826 (12.826)	Loss 4.0465 (4.0465)	Top-1 acc 28.516 (28.516)	Top-5 acc 50.781 (50.781)	lr 0.00272
Warmup Train [35][10/2134]	Time 0.761 (2.035)	Data 0.003 (1.169)	Loss 3.9327 (4.1998)	Top-1 acc 27.344 (25.178)	Top-5 acc 55.078 (47.656)	lr 0.00272
Warmup Train [35][20/2134]	Time 0.773 (1.378)	Data 0.002 (0.614)	Loss 4.2416 (4.1887)	Top-1 acc 23.828 (25.818)	Top-5 acc 48.047 (48.028)	lr 0.00272
Warmup Train [35][30/2134]	Time 0.464 (1.258)	Data 0.002 (0.417)	Loss 3.9575 (4.1631)	Top-1 acc 30.469 (26.096)	Top-5 acc 56.250 (48.702)	lr 0.00271
Warmup Train [35][40/2134]	Time 0.550 (1.103)	Data 0.002 (0.321)	Loss 4.4907 (4.1728)	Top-1 acc 22.266 (25.753)	Top-5 acc 41.406 (48.399)	lr 0.00271
Warmup Train [35][50/2134]	Time 0.785 (1.007)	Data 0.002 (0.259)	Loss 4.3742 (4.1723)	Top-1 acc 23.438 (25.888)	Top-5 acc 46.875 (48.637)	lr 0.00270
Warmup Train [35][60/2134]	Time 0.733 (0.941)	Data 0.002 (0.217)	Loss 4.1956 (4.1699)	Top-1 acc 22.266 (25.941)	Top-5 acc 46.484 (48.950)	lr 0.00270
Warmup Train [35][70/2134]	Time 0.462 (0.891)	Data 0.002 (0.187)	Loss 4.1169 (4.1751)	Top-1 acc 29.688 (25.979)	Top-5 acc 48.047 (48.933)	lr 0.00270
Warmup Train [35][80/2134]	Time 0.688 (0.859)	Data 0.002 (0.166)	Loss 4.1983 (4.1773)	Top-1 acc 28.125 (25.993)	Top-5 acc 52.344 (49.040)	lr 0.00269
Warmup Train [35][90/2134]	Time 0.501 (0.830)	Data 0.002 (0.148)	Loss 4.1508 (4.1726)	Top-1 acc 26.953 (25.953)	Top-5 acc 51.172 (49.077)	lr 0.00269
Warmup Train [35][100/2134]	Time 0.569 (0.808)	Data 0.002 (0.135)	Loss 4.3594 (4.1752)	Top-1 acc 19.922 (25.866)	Top-5 acc 43.750 (49.037)	lr 0.00268
Warmup Train [35][110/2134]	Time 0.521 (0.791)	Data 0.003 (0.124)	Loss 4.0270 (4.1755)	Top-1 acc 25.781 (25.852)	Top-5 acc 51.953 (49.124)	lr 0.00268
Warmup Train [35][120/2134]	Time 0.762 (0.778)	Data 0.002 (0.115)	Loss 4.2011 (4.1725)	Top-1 acc 23.047 (25.855)	Top-5 acc 51.562 (49.180)	lr 0.00267
Warmup Train [35][130/2134]	Time 0.836 (0.763)	Data 0.004 (0.106)	Loss 3.8636 (4.1676)	Top-1 acc 31.641 (25.877)	Top-5 acc 55.859 (49.308)	lr 0.00267
Warmup Train [35][140/2134]	Time 0.443 (0.752)	Data 0.003 (0.099)	Loss 4.1803 (4.1646)	Top-1 acc 24.219 (25.859)	Top-5 acc 49.609 (49.427)	lr 0.00267
Warmup Train [35][150/2134]	Time 0.611 (0.743)	Data 0.003 (0.093)	Loss 4.1151 (4.1632)	Top-1 acc 27.734 (25.913)	Top-5 acc 51.953 (49.457)	lr 0.00266
Warmup Train [35][160/2134]	Time 0.639 (0.733)	Data 0.002 (0.088)	Loss 4.1064 (4.1613)	Top-1 acc 27.734 (25.949)	Top-5 acc 49.219 (49.483)	lr 0.00266
Warmup Train [35][170/2134]	Time 0.648 (0.726)	Data 0.002 (0.083)	Loss 4.0509 (4.1617)	Top-1 acc 30.469 (25.966)	Top-5 acc 48.828 (49.475)	lr 0.00265
Warmup Train [35][180/2134]	Time 0.726 (0.719)	Data 0.002 (0.078)	Loss 4.1174 (4.1629)	Top-1 acc 25.000 (25.915)	Top-5 acc 50.781 (49.471)	lr 0.00265
Warmup Train [35][190/2134]	Time 0.491 (0.713)	Data 0.003 (0.075)	Loss 4.2466 (4.1644)	Top-1 acc 24.609 (25.845)	Top-5 acc 47.266 (49.446)	lr 0.00265
Warmup Train [35][200/2134]	Time 0.674 (0.708)	Data 0.002 (0.072)	Loss 4.3821 (4.1636)	Top-1 acc 20.703 (25.820)	Top-5 acc 43.359 (49.475)	lr 0.00264
Warmup Train [35][210/2134]	Time 0.587 (0.703)	Data 0.002 (0.068)	Loss 4.1815 (4.1625)	Top-1 acc 24.609 (25.853)	Top-5 acc 51.562 (49.508)	lr 0.00264
Warmup Train [35][220/2134]	Time 0.670 (0.699)	Data 0.003 (0.065)	Loss 4.3192 (4.1641)	Top-1 acc 23.828 (25.841)	Top-5 acc 44.531 (49.466)	lr 0.00263
Warmup Train [35][230/2134]	Time 0.486 (0.695)	Data 0.002 (0.063)	Loss 3.9619 (4.1630)	Top-1 acc 28.516 (25.864)	Top-5 acc 52.734 (49.476)	lr 0.00263
Warmup Train [35][240/2134]	Time 0.651 (0.692)	Data 0.002 (0.061)	Loss 4.3761 (4.1672)	Top-1 acc 23.047 (25.784)	Top-5 acc 41.797 (49.371)	lr 0.00263
Warmup Train [35][250/2134]	Time 0.630 (0.690)	Data 0.003 (0.059)	Loss 4.1103 (4.1659)	Top-1 acc 27.344 (25.815)	Top-5 acc 52.344 (49.395)	lr 0.00262
Warmup Train [35][260/2134]	Time 0.570 (0.687)	Data 0.002 (0.057)	Loss 3.8744 (4.1644)	Top-1 acc 33.203 (25.874)	Top-5 acc 51.562 (49.454)	lr 0.00262
Warmup Train [35][270/2134]	Time 0.681 (0.685)	Data 0.003 (0.055)	Loss 4.1225 (4.1633)	Top-1 acc 27.734 (25.908)	Top-5 acc 47.266 (49.485)	lr 0.00261
Warmup Train [35][280/2134]	Time 0.578 (0.683)	Data 0.002 (0.053)	Loss 4.1520 (4.1615)	Top-1 acc 29.297 (25.984)	Top-5 acc 46.875 (49.548)	lr 0.00261
Warmup Train [35][290/2134]	Time 0.637 (0.680)	Data 0.002 (0.051)	Loss 4.2286 (4.1603)	Top-1 acc 25.781 (26.008)	Top-5 acc 49.219 (49.581)	lr 0.00261
Warmup Train [35][300/2134]	Time 0.583 (0.678)	Data 0.002 (0.050)	Loss 4.2053 (4.1623)	Top-1 acc 24.609 (25.956)	Top-5 acc 48.828 (49.529)	lr 0.00260
Warmup Train [35][310/2134]	Time 0.685 (0.676)	Data 0.002 (0.048)	Loss 4.0215 (4.1614)	Top-1 acc 30.078 (25.965)	Top-5 acc 54.688 (49.550)	lr 0.00260
Warmup Train [35][320/2134]	Time 0.630 (0.674)	Data 0.025 (0.047)	Loss 4.1328 (4.1601)	Top-1 acc 27.344 (26.016)	Top-5 acc 52.734 (49.585)	lr 0.00259
Warmup Train [35][330/2134]	Time 0.819 (0.672)	Data 0.002 (0.046)	Loss 4.1767 (4.1594)	Top-1 acc 26.172 (26.014)	Top-5 acc 47.656 (49.598)	lr 0.00259
Warmup Train [35][340/2134]	Time 0.580 (0.670)	Data 0.003 (0.044)	Loss 4.0670 (4.1580)	Top-1 acc 27.344 (26.026)	Top-5 acc 52.734 (49.661)	lr 0.00258
Warmup Train [35][350/2134]	Time 0.803 (0.669)	Data 0.002 (0.043)	Loss 4.2409 (4.1595)	Top-1 acc 23.438 (25.993)	Top-5 acc 43.750 (49.614)	lr 0.00258
Warmup Train [35][360/2134]	Time 0.700 (0.676)	Data 0.002 (0.042)	Loss 4.1483 (4.1590)	Top-1 acc 26.953 (26.024)	Top-5 acc 48.828 (49.648)	lr 0.00258
Warmup Train [35][370/2134]	Time 0.673 (0.674)	Data 0.002 (0.041)	Loss 4.1235 (4.1591)	Top-1 acc 23.828 (25.988)	Top-5 acc 51.562 (49.645)	lr 0.00257
Warmup Train [35][380/2134]	Time 0.741 (0.673)	Data 0.002 (0.040)	Loss 4.2381 (4.1583)	Top-1 acc 26.172 (26.014)	Top-5 acc 46.875 (49.666)	lr 0.00257
Warmup Train [35][390/2134]	Time 0.675 (0.672)	Data 0.003 (0.039)	Loss 4.2619 (4.1586)	Top-1 acc 22.266 (26.006)	Top-5 acc 41.797 (49.657)	lr 0.00256
Warmup Train [35][400/2134]	Time 0.615 (0.671)	Data 0.002 (0.038)	Loss 4.3376 (4.1610)	Top-1 acc 23.047 (25.976)	Top-5 acc 45.312 (49.593)	lr 0.00256
Warmup Train [35][410/2134]	Time 0.648 (0.669)	Data 0.002 (0.037)	Loss 4.2089 (4.1600)	Top-1 acc 28.125 (25.974)	Top-5 acc 48.047 (49.603)	lr 0.00256
Warmup Train [35][420/2134]	Time 0.620 (0.668)	Data 0.002 (0.037)	Loss 4.1418 (4.1600)	Top-1 acc 22.266 (25.967)	Top-5 acc 50.391 (49.629)	lr 0.00255
Warmup Train [35][430/2134]	Time 0.460 (0.666)	Data 0.003 (0.036)	Loss 4.2142 (4.1605)	Top-1 acc 25.391 (25.930)	Top-5 acc 48.828 (49.629)	lr 0.00255
Warmup Train [35][440/2134]	Time 0.533 (0.665)	Data 0.002 (0.035)	Loss 4.2372 (4.1608)	Top-1 acc 24.609 (25.926)	Top-5 acc 47.656 (49.612)	lr 0.00254
Warmup Train [35][450/2134]	Time 0.619 (0.664)	Data 0.002 (0.035)	Loss 4.1403 (4.1612)	Top-1 acc 30.469 (25.928)	Top-5 acc 51.172 (49.605)	lr 0.00254
Warmup Train [35][460/2134]	Time 0.648 (0.664)	Data 0.002 (0.034)	Loss 4.0726 (4.1607)	Top-1 acc 25.781 (25.930)	Top-5 acc 53.516 (49.648)	lr 0.00254
Warmup Train [35][470/2134]	Time 0.665 (0.663)	Data 0.002 (0.034)	Loss 4.2282 (4.1603)	Top-1 acc 27.734 (25.929)	Top-5 acc 50.000 (49.659)	lr 0.00253
Warmup Train [35][480/2134]	Time 0.642 (0.662)	Data 0.002 (0.033)	Loss 4.0054 (4.1600)	Top-1 acc 25.000 (25.923)	Top-5 acc 52.734 (49.673)	lr 0.00253
Warmup Train [35][490/2134]	Time 0.412 (0.661)	Data 0.002 (0.032)	Loss 3.9796 (4.1593)	Top-1 acc 31.250 (25.962)	Top-5 acc 53.125 (49.706)	lr 0.00252
Warmup Train [35][500/2134]	Time 0.447 (0.660)	Data 0.002 (0.032)	Loss 4.1163 (4.1596)	Top-1 acc 25.781 (25.954)	Top-5 acc 50.000 (49.706)	lr 0.00252
Warmup Train [35][510/2134]	Time 0.683 (0.659)	Data 0.003 (0.032)	Loss 4.2600 (4.1605)	Top-1 acc 19.922 (25.924)	Top-5 acc 46.875 (49.693)	lr 0.00252
Warmup Train [35][520/2134]	Time 0.779 (0.658)	Data 0.003 (0.031)	Loss 4.2774 (4.1611)	Top-1 acc 21.094 (25.936)	Top-5 acc 46.875 (49.676)	lr 0.00251
Warmup Train [35][530/2134]	Time 0.468 (0.657)	Data 0.003 (0.031)	Loss 4.1513 (4.1612)	Top-1 acc 25.781 (25.927)	Top-5 acc 49.609 (49.655)	lr 0.00251
Warmup Train [35][540/2134]	Time 0.414 (0.656)	Data 0.002 (0.030)	Loss 4.1711 (4.1612)	Top-1 acc 24.609 (25.925)	Top-5 acc 48.828 (49.652)	lr 0.00250
Warmup Train [35][550/2134]	Time 0.646 (0.655)	Data 0.002 (0.030)	Loss 3.9928 (4.1617)	Top-1 acc 31.250 (25.927)	Top-5 acc 51.953 (49.638)	lr 0.00250
Warmup Train [35][560/2134]	Time 0.664 (0.654)	Data 0.002 (0.030)	Loss 3.9165 (4.1620)	Top-1 acc 33.594 (25.931)	Top-5 acc 56.250 (49.618)	lr 0.00250
Warmup Train [35][570/2134]	Time 0.553 (0.653)	Data 0.004 (0.029)	Loss 4.3110 (4.1625)	Top-1 acc 21.094 (25.916)	Top-5 acc 47.656 (49.599)	lr 0.00249
Warmup Train [35][580/2134]	Time 0.752 (0.653)	Data 0.003 (0.029)	Loss 4.3092 (4.1640)	Top-1 acc 23.828 (25.893)	Top-5 acc 44.531 (49.541)	lr 0.00249
Warmup Train [35][590/2134]	Time 0.655 (0.652)	Data 0.002 (0.029)	Loss 4.2329 (4.1631)	Top-1 acc 27.734 (25.914)	Top-5 acc 48.438 (49.566)	lr 0.00248
Warmup Train [35][600/2134]	Time 0.554 (0.651)	Data 0.002 (0.028)	Loss 4.1595 (4.1627)	Top-1 acc 22.266 (25.908)	Top-5 acc 47.656 (49.559)	lr 0.00248
Warmup Train [35][610/2134]	Time 0.576 (0.651)	Data 0.002 (0.028)	Loss 4.1620 (4.1633)	Top-1 acc 25.781 (25.896)	Top-5 acc 51.172 (49.547)	lr 0.00248
Warmup Train [35][620/2134]	Time 0.632 (0.650)	Data 0.003 (0.028)	Loss 4.3567 (4.1641)	Top-1 acc 23.438 (25.888)	Top-5 acc 45.703 (49.541)	lr 0.00247
Warmup Train [35][630/2134]	Time 0.505 (0.650)	Data 0.002 (0.028)	Loss 4.2122 (4.1637)	Top-1 acc 26.953 (25.888)	Top-5 acc 49.609 (49.534)	lr 0.00247
Warmup Train [35][640/2134]	Time 0.450 (0.649)	Data 0.002 (0.027)	Loss 4.0813 (4.1631)	Top-1 acc 27.344 (25.907)	Top-5 acc 50.391 (49.556)	lr 0.00246
Warmup Train [35][650/2134]	Time 0.637 (0.648)	Data 0.002 (0.027)	Loss 4.1271 (4.1631)	Top-1 acc 25.781 (25.904)	Top-5 acc 50.000 (49.548)	lr 0.00246
Warmup Train [35][660/2134]	Time 0.601 (0.648)	Data 0.002 (0.027)	Loss 3.9220 (4.1629)	Top-1 acc 30.078 (25.914)	Top-5 acc 56.641 (49.556)	lr 0.00246
Warmup Train [35][670/2134]	Time 0.557 (0.647)	Data 0.002 (0.027)	Loss 4.0874 (4.1623)	Top-1 acc 25.391 (25.919)	Top-5 acc 50.781 (49.567)	lr 0.00245
Warmup Train [35][680/2134]	Time 3.781 (0.652)	Data 0.002 (0.026)	Loss 4.1899 (4.1623)	Top-1 acc 25.391 (25.926)	Top-5 acc 49.219 (49.565)	lr 0.00245
Warmup Train [35][690/2134]	Time 0.492 (0.651)	Data 0.002 (0.026)	Loss 4.1637 (4.1623)	Top-1 acc 27.734 (25.935)	Top-5 acc 52.734 (49.573)	lr 0.00244
Warmup Train [35][700/2134]	Time 0.548 (0.650)	Data 0.002 (0.026)	Loss 4.0328 (4.1622)	Top-1 acc 25.781 (25.928)	Top-5 acc 50.391 (49.575)	lr 0.00244
Warmup Train [35][710/2134]	Time 0.692 (0.650)	Data 0.002 (0.026)	Loss 4.3037 (4.1625)	Top-1 acc 24.609 (25.926)	Top-5 acc 44.922 (49.561)	lr 0.00244
Warmup Train [35][720/2134]	Time 0.502 (0.649)	Data 0.002 (0.025)	Loss 4.1427 (4.1626)	Top-1 acc 26.562 (25.916)	Top-5 acc 49.609 (49.565)	lr 0.00243
Warmup Train [35][730/2134]	Time 0.631 (0.649)	Data 0.002 (0.025)	Loss 4.1416 (4.1632)	Top-1 acc 26.953 (25.896)	Top-5 acc 50.391 (49.546)	lr 0.00243
Warmup Train [35][740/2134]	Time 0.728 (0.648)	Data 0.002 (0.025)	Loss 4.1626 (4.1632)	Top-1 acc 28.516 (25.908)	Top-5 acc 50.781 (49.560)	lr 0.00242
Warmup Train [35][750/2134]	Time 0.458 (0.647)	Data 0.002 (0.025)	Loss 4.1990 (4.1633)	Top-1 acc 21.484 (25.905)	Top-5 acc 48.828 (49.551)	lr 0.00242
Warmup Train [35][760/2134]	Time 0.735 (0.647)	Data 0.002 (0.025)	Loss 3.9870 (4.1630)	Top-1 acc 30.469 (25.921)	Top-5 acc 57.422 (49.577)	lr 0.00242
Warmup Train [35][770/2134]	Time 0.468 (0.647)	Data 0.002 (0.024)	Loss 4.2654 (4.1638)	Top-1 acc 23.828 (25.913)	Top-5 acc 47.656 (49.569)	lr 0.00241
Warmup Train [35][780/2134]	Time 0.610 (0.646)	Data 0.002 (0.024)	Loss 4.0128 (4.1637)	Top-1 acc 28.516 (25.919)	Top-5 acc 50.000 (49.561)	lr 0.00241
Warmup Train [35][790/2134]	Time 0.703 (0.646)	Data 0.002 (0.024)	Loss 4.0193 (4.1638)	Top-1 acc 23.828 (25.905)	Top-5 acc 48.828 (49.553)	lr 0.00240
Warmup Train [35][800/2134]	Time 0.576 (0.645)	Data 0.002 (0.024)	Loss 4.0670 (4.1640)	Top-1 acc 24.609 (25.898)	Top-5 acc 53.125 (49.548)	lr 0.00240
Warmup Train [35][810/2134]	Time 0.590 (0.645)	Data 0.003 (0.024)	Loss 4.4291 (4.1647)	Top-1 acc 19.922 (25.897)	Top-5 acc 42.578 (49.532)	lr 0.00240
Warmup Train [35][820/2134]	Time 0.715 (0.645)	Data 0.003 (0.023)	Loss 4.2919 (4.1652)	Top-1 acc 20.312 (25.885)	Top-5 acc 49.609 (49.525)	lr 0.00239
Warmup Train [35][830/2134]	Time 0.632 (0.644)	Data 0.002 (0.023)	Loss 3.9956 (4.1640)	Top-1 acc 27.734 (25.904)	Top-5 acc 51.562 (49.549)	lr 0.00239
Warmup Train [35][840/2134]	Time 0.642 (0.644)	Data 0.002 (0.023)	Loss 4.1344 (4.1638)	Top-1 acc 22.656 (25.896)	Top-5 acc 50.391 (49.557)	lr 0.00238
Warmup Train [35][850/2134]	Time 0.432 (0.643)	Data 0.002 (0.023)	Loss 4.2452 (4.1635)	Top-1 acc 29.297 (25.927)	Top-5 acc 49.219 (49.569)	lr 0.00238
Warmup Train [35][860/2134]	Time 0.458 (0.643)	Data 0.002 (0.023)	Loss 4.2920 (4.1639)	Top-1 acc 22.266 (25.925)	Top-5 acc 46.484 (49.571)	lr 0.00238
Warmup Train [35][870/2134]	Time 0.448 (0.642)	Data 0.002 (0.023)	Loss 4.1783 (4.1639)	Top-1 acc 21.484 (25.926)	Top-5 acc 48.438 (49.565)	lr 0.00237
Warmup Train [35][880/2134]	Time 0.468 (0.642)	Data 0.002 (0.022)	Loss 4.2086 (4.1638)	Top-1 acc 27.344 (25.920)	Top-5 acc 46.875 (49.568)	lr 0.00237
Warmup Train [35][890/2134]	Time 0.576 (0.641)	Data 0.003 (0.022)	Loss 4.1016 (4.1632)	Top-1 acc 29.297 (25.939)	Top-5 acc 53.516 (49.592)	lr 0.00237
Warmup Train [35][900/2134]	Time 0.471 (0.641)	Data 0.002 (0.022)	Loss 4.1931 (4.1635)	Top-1 acc 20.703 (25.928)	Top-5 acc 45.703 (49.576)	lr 0.00236
Warmup Train [35][910/2134]	Time 0.638 (0.641)	Data 0.002 (0.022)	Loss 4.1243 (4.1637)	Top-1 acc 21.484 (25.915)	Top-5 acc 50.781 (49.575)	lr 0.00236
Warmup Train [35][920/2134]	Time 0.547 (0.640)	Data 0.002 (0.022)	Loss 4.1870 (4.1635)	Top-1 acc 26.562 (25.920)	Top-5 acc 48.438 (49.568)	lr 0.00235
Warmup Train [35][930/2134]	Time 0.610 (0.640)	Data 0.002 (0.022)	Loss 4.2020 (4.1640)	Top-1 acc 25.000 (25.919)	Top-5 acc 45.703 (49.549)	lr 0.00235
Warmup Train [35][940/2134]	Time 0.794 (0.640)	Data 0.003 (0.022)	Loss 4.0332 (4.1639)	Top-1 acc 28.516 (25.922)	Top-5 acc 55.469 (49.564)	lr 0.00235
Warmup Train [35][950/2134]	Time 0.544 (0.639)	Data 0.002 (0.021)	Loss 3.9099 (4.1643)	Top-1 acc 28.516 (25.910)	Top-5 acc 55.469 (49.553)	lr 0.00234
Warmup Train [35][960/2134]	Time 0.717 (0.639)	Data 0.002 (0.021)	Loss 4.1846 (4.1646)	Top-1 acc 27.344 (25.899)	Top-5 acc 48.438 (49.545)	lr 0.00234
Warmup Train [35][970/2134]	Time 0.745 (0.639)	Data 0.002 (0.021)	Loss 4.0719 (4.1650)	Top-1 acc 30.859 (25.903)	Top-5 acc 50.391 (49.529)	lr 0.00233
Warmup Train [35][980/2134]	Time 0.688 (0.638)	Data 0.002 (0.021)	Loss 4.2404 (4.1651)	Top-1 acc 24.609 (25.905)	Top-5 acc 50.391 (49.537)	lr 0.00233
Warmup Train [35][990/2134]	Time 0.632 (0.638)	Data 0.002 (0.021)	Loss 4.2361 (4.1654)	Top-1 acc 25.000 (25.896)	Top-5 acc 50.391 (49.538)	lr 0.00233
Warmup Train [35][1000/2134]	Time 0.518 (0.638)	Data 0.002 (0.021)	Loss 4.2917 (4.1660)	Top-1 acc 21.875 (25.884)	Top-5 acc 46.484 (49.522)	lr 0.00232
Warmup Train [35][1010/2134]	Time 0.620 (0.638)	Data 0.002 (0.021)	Loss 4.4006 (4.1662)	Top-1 acc 19.531 (25.877)	Top-5 acc 42.188 (49.513)	lr 0.00232
Warmup Train [35][1020/2134]	Time 0.535 (0.637)	Data 0.002 (0.020)	Loss 4.1197 (4.1666)	Top-1 acc 27.344 (25.875)	Top-5 acc 50.781 (49.508)	lr 0.00231
Warmup Train [35][1030/2134]	Time 0.601 (0.640)	Data 0.002 (0.020)	Loss 4.0176 (4.1663)	Top-1 acc 28.125 (25.879)	Top-5 acc 54.688 (49.509)	lr 0.00231
Warmup Train [35][1040/2134]	Time 0.670 (0.640)	Data 0.002 (0.020)	Loss 4.1640 (4.1662)	Top-1 acc 27.344 (25.890)	Top-5 acc 50.781 (49.512)	lr 0.00231
Warmup Train [35][1050/2134]	Time 0.685 (0.639)	Data 0.003 (0.020)	Loss 3.8750 (4.1663)	Top-1 acc 26.953 (25.887)	Top-5 acc 57.422 (49.501)	lr 0.00230
Warmup Train [35][1060/2134]	Time 0.545 (0.639)	Data 0.002 (0.020)	Loss 4.1488 (4.1661)	Top-1 acc 29.688 (25.885)	Top-5 acc 53.125 (49.506)	lr 0.00230
Warmup Train [35][1070/2134]	Time 0.742 (0.639)	Data 0.002 (0.020)	Loss 4.1204 (4.1660)	Top-1 acc 29.297 (25.881)	Top-5 acc 49.219 (49.514)	lr 0.00230
Warmup Train [35][1080/2134]	Time 0.573 (0.638)	Data 0.002 (0.020)	Loss 4.0127 (4.1660)	Top-1 acc 24.609 (25.879)	Top-5 acc 51.953 (49.507)	lr 0.00229
Warmup Train [35][1090/2134]	Time 0.527 (0.638)	Data 0.002 (0.020)	Loss 4.4145 (4.1661)	Top-1 acc 21.094 (25.878)	Top-5 acc 43.359 (49.501)	lr 0.00229
Warmup Train [35][1100/2134]	Time 0.602 (0.638)	Data 0.002 (0.019)	Loss 4.4124 (4.1665)	Top-1 acc 23.438 (25.870)	Top-5 acc 45.312 (49.495)	lr 0.00228
Warmup Train [35][1110/2134]	Time 0.441 (0.638)	Data 0.002 (0.019)	Loss 3.9866 (4.1665)	Top-1 acc 30.859 (25.869)	Top-5 acc 54.297 (49.482)	lr 0.00228
Warmup Train [35][1120/2134]	Time 0.615 (0.637)	Data 0.002 (0.019)	Loss 4.1934 (4.1664)	Top-1 acc 26.172 (25.880)	Top-5 acc 48.438 (49.486)	lr 0.00228
Warmup Train [35][1130/2134]	Time 0.729 (0.637)	Data 0.002 (0.019)	Loss 4.1843 (4.1663)	Top-1 acc 28.125 (25.893)	Top-5 acc 46.094 (49.485)	lr 0.00227
Warmup Train [35][1140/2134]	Time 0.655 (0.637)	Data 0.002 (0.019)	Loss 4.1060 (4.1666)	Top-1 acc 23.047 (25.898)	Top-5 acc 51.562 (49.469)	lr 0.00227
Warmup Train [35][1150/2134]	Time 0.426 (0.636)	Data 0.002 (0.019)	Loss 4.1252 (4.1670)	Top-1 acc 28.906 (25.885)	Top-5 acc 53.906 (49.460)	lr 0.00226
Warmup Train [35][1160/2134]	Time 0.612 (0.636)	Data 0.003 (0.019)	Loss 3.9693 (4.1667)	Top-1 acc 32.422 (25.895)	Top-5 acc 55.859 (49.463)	lr 0.00226
Warmup Train [35][1170/2134]	Time 0.503 (0.636)	Data 0.002 (0.019)	Loss 4.3030 (4.1664)	Top-1 acc 21.094 (25.906)	Top-5 acc 49.219 (49.471)	lr 0.00226
Warmup Train [35][1180/2134]	Time 0.557 (0.636)	Data 0.002 (0.019)	Loss 4.2754 (4.1658)	Top-1 acc 22.266 (25.907)	Top-5 acc 50.000 (49.489)	lr 0.00225
Warmup Train [35][1190/2134]	Time 0.715 (0.636)	Data 0.002 (0.019)	Loss 4.0445 (4.1658)	Top-1 acc 29.688 (25.907)	Top-5 acc 51.953 (49.490)	lr 0.00225
Warmup Train [35][1200/2134]	Time 0.669 (0.635)	Data 0.002 (0.019)	Loss 4.1443 (4.1654)	Top-1 acc 26.172 (25.912)	Top-5 acc 47.656 (49.496)	lr 0.00225
Warmup Train [35][1210/2134]	Time 0.570 (0.635)	Data 0.002 (0.018)	Loss 4.3249 (4.1656)	Top-1 acc 28.516 (25.907)	Top-5 acc 46.094 (49.483)	lr 0.00224
Warmup Train [35][1220/2134]	Time 0.571 (0.635)	Data 0.004 (0.018)	Loss 4.1238 (4.1655)	Top-1 acc 27.344 (25.909)	Top-5 acc 51.953 (49.489)	lr 0.00224
Warmup Train [35][1230/2134]	Time 0.687 (0.635)	Data 0.003 (0.018)	Loss 4.2484 (4.1652)	Top-1 acc 22.656 (25.912)	Top-5 acc 47.656 (49.493)	lr 0.00223
Warmup Train [35][1240/2134]	Time 0.520 (0.634)	Data 0.002 (0.018)	Loss 4.1494 (4.1654)	Top-1 acc 26.562 (25.913)	Top-5 acc 48.047 (49.489)	lr 0.00223
Warmup Train [35][1250/2134]	Time 0.634 (0.634)	Data 0.002 (0.018)	Loss 4.0362 (4.1652)	Top-1 acc 26.172 (25.917)	Top-5 acc 53.516 (49.492)	lr 0.00223
Warmup Train [35][1260/2134]	Time 0.416 (0.634)	Data 0.002 (0.018)	Loss 4.1924 (4.1650)	Top-1 acc 27.344 (25.921)	Top-5 acc 50.000 (49.498)	lr 0.00222
Warmup Train [35][1270/2134]	Time 0.587 (0.634)	Data 0.002 (0.018)	Loss 4.2361 (4.1650)	Top-1 acc 21.484 (25.921)	Top-5 acc 50.391 (49.509)	lr 0.00222
Warmup Train [35][1280/2134]	Time 0.669 (0.634)	Data 0.002 (0.018)	Loss 4.2978 (4.1654)	Top-1 acc 27.344 (25.918)	Top-5 acc 46.875 (49.496)	lr 0.00222
Warmup Train [35][1290/2134]	Time 0.570 (0.634)	Data 0.002 (0.018)	Loss 4.1367 (4.1656)	Top-1 acc 28.906 (25.913)	Top-5 acc 47.266 (49.492)	lr 0.00221
Warmup Train [35][1300/2134]	Time 0.739 (0.633)	Data 0.002 (0.018)	Loss 4.1609 (4.1659)	Top-1 acc 22.656 (25.921)	Top-5 acc 47.656 (49.483)	lr 0.00221
Warmup Train [35][1310/2134]	Time 0.710 (0.633)	Data 0.002 (0.018)	Loss 4.0562 (4.1657)	Top-1 acc 27.344 (25.923)	Top-5 acc 53.125 (49.489)	lr 0.00220
Warmup Train [35][1320/2134]	Time 0.432 (0.633)	Data 0.003 (0.017)	Loss 4.1525 (4.1657)	Top-1 acc 27.344 (25.920)	Top-5 acc 50.781 (49.478)	lr 0.00220
Warmup Train [35][1330/2134]	Time 0.525 (0.633)	Data 0.002 (0.018)	Loss 4.2639 (4.1657)	Top-1 acc 25.391 (25.917)	Top-5 acc 47.266 (49.471)	lr 0.00220
Warmup Train [35][1340/2134]	Time 0.702 (0.632)	Data 0.002 (0.017)	Loss 4.2227 (4.1659)	Top-1 acc 24.219 (25.912)	Top-5 acc 46.484 (49.463)	lr 0.00219
Warmup Train [35][1350/2134]	Time 0.575 (0.632)	Data 0.002 (0.017)	Loss 4.1343 (4.1664)	Top-1 acc 29.688 (25.910)	Top-5 acc 49.219 (49.452)	lr 0.00219
Warmup Train [35][1360/2134]	Time 0.708 (0.635)	Data 0.005 (0.017)	Loss 4.3025 (4.1673)	Top-1 acc 23.828 (25.890)	Top-5 acc 51.562 (49.436)	lr 0.00219
Warmup Train [35][1370/2134]	Time 0.639 (0.634)	Data 0.002 (0.017)	Loss 4.1908 (4.1674)	Top-1 acc 23.828 (25.890)	Top-5 acc 47.656 (49.432)	lr 0.00218
Warmup Train [35][1380/2134]	Time 0.616 (0.634)	Data 0.002 (0.017)	Loss 3.9576 (4.1673)	Top-1 acc 32.031 (25.890)	Top-5 acc 55.469 (49.439)	lr 0.00218
Warmup Train [35][1390/2134]	Time 0.741 (0.634)	Data 0.002 (0.017)	Loss 4.1685 (4.1672)	Top-1 acc 23.828 (25.884)	Top-5 acc 49.219 (49.435)	lr 0.00217
Warmup Train [35][1400/2134]	Time 0.651 (0.634)	Data 0.003 (0.017)	Loss 4.1230 (4.1669)	Top-1 acc 26.953 (25.890)	Top-5 acc 48.438 (49.435)	lr 0.00217
Warmup Train [35][1410/2134]	Time 0.603 (0.634)	Data 0.003 (0.017)	Loss 4.3880 (4.1671)	Top-1 acc 20.312 (25.886)	Top-5 acc 44.531 (49.436)	lr 0.00217
Warmup Train [35][1420/2134]	Time 0.668 (0.634)	Data 0.002 (0.017)	Loss 4.2750 (4.1672)	Top-1 acc 20.312 (25.882)	Top-5 acc 43.750 (49.432)	lr 0.00216
Warmup Train [35][1430/2134]	Time 0.602 (0.634)	Data 0.002 (0.017)	Loss 4.3709 (4.1671)	Top-1 acc 25.391 (25.884)	Top-5 acc 42.969 (49.435)	lr 0.00216
Warmup Train [35][1440/2134]	Time 0.597 (0.634)	Data 0.002 (0.017)	Loss 4.2281 (4.1669)	Top-1 acc 25.391 (25.892)	Top-5 acc 49.609 (49.440)	lr 0.00216
Warmup Train [35][1450/2134]	Time 0.590 (0.634)	Data 0.002 (0.017)	Loss 4.1495 (4.1672)	Top-1 acc 24.219 (25.888)	Top-5 acc 50.781 (49.434)	lr 0.00215
Warmup Train [35][1460/2134]	Time 0.794 (0.634)	Data 0.002 (0.017)	Loss 4.1514 (4.1669)	Top-1 acc 26.562 (25.897)	Top-5 acc 55.078 (49.432)	lr 0.00215
Warmup Train [35][1470/2134]	Time 0.561 (0.634)	Data 0.003 (0.017)	Loss 4.1902 (4.1666)	Top-1 acc 28.125 (25.900)	Top-5 acc 49.219 (49.438)	lr 0.00214
Warmup Train [35][1480/2134]	Time 0.527 (0.633)	Data 0.004 (0.016)	Loss 4.0223 (4.1663)	Top-1 acc 26.562 (25.905)	Top-5 acc 52.344 (49.442)	lr 0.00214
Warmup Train [35][1490/2134]	Time 0.591 (0.633)	Data 0.002 (0.016)	Loss 4.1773 (4.1666)	Top-1 acc 28.516 (25.902)	Top-5 acc 49.609 (49.436)	lr 0.00214
Warmup Train [35][1500/2134]	Time 0.619 (0.633)	Data 0.003 (0.016)	Loss 4.1061 (4.1665)	Top-1 acc 28.906 (25.909)	Top-5 acc 50.000 (49.431)	lr 0.00213
Warmup Train [35][1510/2134]	Time 0.322 (0.633)	Data 0.002 (0.016)	Loss 4.0009 (4.1665)	Top-1 acc 30.469 (25.916)	Top-5 acc 53.906 (49.429)	lr 0.00213
Warmup Train [35][1520/2134]	Time 0.616 (0.633)	Data 0.002 (0.016)	Loss 4.0601 (4.1663)	Top-1 acc 28.906 (25.918)	Top-5 acc 50.391 (49.429)	lr 0.00213
Warmup Train [35][1530/2134]	Time 0.675 (0.633)	Data 0.032 (0.016)	Loss 4.1682 (4.1662)	Top-1 acc 24.609 (25.919)	Top-5 acc 50.781 (49.426)	lr 0.00212
Warmup Train [35][1540/2134]	Time 0.581 (0.632)	Data 0.004 (0.016)	Loss 4.1286 (4.1662)	Top-1 acc 25.781 (25.921)	Top-5 acc 51.172 (49.425)	lr 0.00212
Warmup Train [35][1550/2134]	Time 0.566 (0.632)	Data 0.002 (0.016)	Loss 4.0891 (4.1658)	Top-1 acc 29.297 (25.933)	Top-5 acc 50.781 (49.430)	lr 0.00211
Warmup Train [35][1560/2134]	Time 0.532 (0.632)	Data 0.002 (0.016)	Loss 4.1589 (4.1659)	Top-1 acc 23.438 (25.924)	Top-5 acc 49.219 (49.425)	lr 0.00211
Warmup Train [35][1570/2134]	Time 0.438 (0.632)	Data 0.002 (0.016)	Loss 4.1145 (4.1656)	Top-1 acc 28.516 (25.931)	Top-5 acc 50.391 (49.436)	lr 0.00211
Warmup Train [35][1580/2134]	Time 0.666 (0.632)	Data 0.002 (0.016)	Loss 4.1828 (4.1659)	Top-1 acc 23.828 (25.927)	Top-5 acc 48.828 (49.428)	lr 0.00210
Warmup Train [35][1590/2134]	Time 0.643 (0.632)	Data 0.002 (0.016)	Loss 4.1130 (4.1662)	Top-1 acc 27.734 (25.918)	Top-5 acc 49.609 (49.419)	lr 0.00210
Warmup Train [35][1600/2134]	Time 0.493 (0.632)	Data 0.002 (0.016)	Loss 4.0582 (4.1663)	Top-1 acc 29.688 (25.912)	Top-5 acc 51.562 (49.421)	lr 0.00210
Warmup Train [35][1610/2134]	Time 0.571 (0.632)	Data 0.002 (0.016)	Loss 4.0517 (4.1663)	Top-1 acc 26.562 (25.911)	Top-5 acc 54.688 (49.418)	lr 0.00209
Warmup Train [35][1620/2134]	Time 0.569 (0.631)	Data 0.002 (0.016)	Loss 4.2225 (4.1660)	Top-1 acc 24.219 (25.920)	Top-5 acc 48.438 (49.426)	lr 0.00209
Warmup Train [35][1630/2134]	Time 0.447 (0.631)	Data 0.002 (0.016)	Loss 4.1900 (4.1660)	Top-1 acc 28.906 (25.924)	Top-5 acc 51.172 (49.428)	lr 0.00208
Warmup Train [35][1640/2134]	Time 0.654 (0.631)	Data 0.003 (0.016)	Loss 4.1435 (4.1658)	Top-1 acc 28.125 (25.929)	Top-5 acc 51.953 (49.433)	lr 0.00208
Warmup Train [35][1650/2134]	Time 0.540 (0.631)	Data 0.002 (0.016)	Loss 4.2816 (4.1659)	Top-1 acc 25.000 (25.927)	Top-5 acc 47.266 (49.429)	lr 0.00208
Warmup Train [35][1660/2134]	Time 0.457 (0.631)	Data 0.002 (0.016)	Loss 4.2861 (4.1657)	Top-1 acc 24.609 (25.928)	Top-5 acc 45.312 (49.428)	lr 0.00207
Warmup Train [35][1670/2134]	Time 0.797 (0.631)	Data 0.005 (0.016)	Loss 3.9869 (4.1653)	Top-1 acc 26.172 (25.933)	Top-5 acc 54.688 (49.437)	lr 0.00207
Warmup Train [35][1680/2134]	Time 0.673 (0.631)	Data 0.002 (0.016)	Loss 4.1072 (4.1654)	Top-1 acc 23.828 (25.930)	Top-5 acc 51.172 (49.430)	lr 0.00207
Warmup Train [35][1690/2134]	Time 0.629 (0.631)	Data 0.002 (0.016)	Loss 4.1420 (4.1657)	Top-1 acc 28.516 (25.927)	Top-5 acc 51.562 (49.432)	lr 0.00206
Warmup Train [35][1700/2134]	Time 0.527 (0.632)	Data 0.002 (0.016)	Loss 4.1728 (4.1656)	Top-1 acc 23.438 (25.929)	Top-5 acc 51.562 (49.438)	lr 0.00206
Warmup Train [35][1710/2134]	Time 0.784 (0.632)	Data 0.002 (0.016)	Loss 4.2516 (4.1654)	Top-1 acc 24.609 (25.932)	Top-5 acc 47.656 (49.441)	lr 0.00206
Warmup Train [35][1720/2134]	Time 0.738 (0.632)	Data 0.002 (0.015)	Loss 4.0438 (4.1655)	Top-1 acc 26.172 (25.928)	Top-5 acc 52.344 (49.436)	lr 0.00205
Warmup Train [35][1730/2134]	Time 0.505 (0.632)	Data 0.002 (0.015)	Loss 4.0680 (4.1655)	Top-1 acc 28.125 (25.928)	Top-5 acc 54.688 (49.437)	lr 0.00205
Warmup Train [35][1740/2134]	Time 0.671 (0.632)	Data 0.002 (0.015)	Loss 3.9738 (4.1653)	Top-1 acc 27.734 (25.930)	Top-5 acc 52.344 (49.436)	lr 0.00204
Warmup Train [35][1750/2134]	Time 0.719 (0.632)	Data 0.002 (0.015)	Loss 4.2473 (4.1651)	Top-1 acc 23.047 (25.935)	Top-5 acc 48.828 (49.446)	lr 0.00204
Warmup Train [35][1760/2134]	Time 0.437 (0.631)	Data 0.003 (0.015)	Loss 4.3137 (4.1650)	Top-1 acc 26.953 (25.942)	Top-5 acc 48.438 (49.452)	lr 0.00204
Warmup Train [35][1770/2134]	Time 0.609 (0.631)	Data 0.002 (0.015)	Loss 3.8833 (4.1649)	Top-1 acc 29.297 (25.946)	Top-5 acc 57.422 (49.455)	lr 0.00203
Warmup Train [35][1780/2134]	Time 0.618 (0.631)	Data 0.002 (0.015)	Loss 4.1716 (4.1647)	Top-1 acc 24.609 (25.948)	Top-5 acc 41.406 (49.454)	lr 0.00203
Warmup Train [35][1790/2134]	Time 0.700 (0.631)	Data 0.002 (0.015)	Loss 4.2094 (4.1649)	Top-1 acc 29.688 (25.947)	Top-5 acc 48.047 (49.446)	lr 0.00203
Warmup Train [35][1800/2134]	Time 0.637 (0.631)	Data 0.002 (0.015)	Loss 4.1924 (4.1648)	Top-1 acc 23.047 (25.950)	Top-5 acc 47.266 (49.447)	lr 0.00202
Warmup Train [35][1810/2134]	Time 0.578 (0.631)	Data 0.002 (0.015)	Loss 4.4159 (4.1652)	Top-1 acc 24.609 (25.945)	Top-5 acc 43.750 (49.434)	lr 0.00202
Warmup Train [35][1820/2134]	Time 0.677 (0.631)	Data 0.002 (0.015)	Loss 4.0666 (4.1650)	Top-1 acc 26.953 (25.949)	Top-5 acc 50.391 (49.442)	lr 0.00202
Warmup Train [35][1830/2134]	Time 0.634 (0.631)	Data 0.002 (0.015)	Loss 4.1946 (4.1649)	Top-1 acc 25.391 (25.951)	Top-5 acc 48.828 (49.440)	lr 0.00201
Warmup Train [35][1840/2134]	Time 0.754 (0.631)	Data 0.003 (0.015)	Loss 4.1064 (4.1649)	Top-1 acc 26.953 (25.952)	Top-5 acc 46.484 (49.438)	lr 0.00201
Warmup Train [35][1850/2134]	Time 0.742 (0.631)	Data 0.003 (0.015)	Loss 4.0138 (4.1648)	Top-1 acc 28.906 (25.961)	Top-5 acc 55.859 (49.441)	lr 0.00200
Warmup Train [35][1860/2134]	Time 0.704 (0.630)	Data 0.002 (0.015)	Loss 4.0685 (4.1651)	Top-1 acc 30.859 (25.958)	Top-5 acc 54.688 (49.435)	lr 0.00200
Warmup Train [35][1870/2134]	Time 0.565 (0.630)	Data 0.003 (0.015)	Loss 4.2560 (4.1650)	Top-1 acc 24.219 (25.958)	Top-5 acc 42.969 (49.433)	lr 0.00200
Warmup Train [35][1880/2134]	Time 0.630 (0.630)	Data 0.003 (0.015)	Loss 4.3119 (4.1650)	Top-1 acc 21.484 (25.956)	Top-5 acc 44.531 (49.432)	lr 0.00199
Warmup Train [35][1890/2134]	Time 0.754 (0.630)	Data 0.002 (0.014)	Loss 4.3835 (4.1653)	Top-1 acc 21.875 (25.949)	Top-5 acc 44.531 (49.421)	lr 0.00199
Warmup Train [35][1900/2134]	Time 0.318 (0.630)	Data 0.004 (0.014)	Loss 4.1455 (4.1653)	Top-1 acc 27.734 (25.946)	Top-5 acc 51.562 (49.421)	lr 0.00199
Warmup Train [35][1910/2134]	Time 0.583 (0.630)	Data 0.003 (0.014)	Loss 4.2055 (4.1653)	Top-1 acc 26.172 (25.946)	Top-5 acc 48.828 (49.419)	lr 0.00198
Warmup Train [35][1920/2134]	Time 0.630 (0.630)	Data 0.002 (0.014)	Loss 4.1831 (4.1656)	Top-1 acc 23.828 (25.939)	Top-5 acc 48.438 (49.412)	lr 0.00198
Warmup Train [35][1930/2134]	Time 0.777 (0.630)	Data 0.002 (0.014)	Loss 4.0517 (4.1652)	Top-1 acc 30.859 (25.949)	Top-5 acc 54.297 (49.422)	lr 0.00198
Warmup Train [35][1940/2134]	Time 0.788 (0.630)	Data 0.002 (0.014)	Loss 4.1534 (4.1650)	Top-1 acc 28.125 (25.952)	Top-5 acc 51.172 (49.426)	lr 0.00197
Warmup Train [35][1950/2134]	Time 0.605 (0.630)	Data 0.002 (0.014)	Loss 4.2930 (4.1649)	Top-1 acc 22.656 (25.943)	Top-5 acc 47.266 (49.426)	lr 0.00197
Warmup Train [35][1960/2134]	Time 0.617 (0.629)	Data 0.003 (0.014)	Loss 3.9334 (4.1648)	Top-1 acc 30.078 (25.944)	Top-5 acc 57.031 (49.429)	lr 0.00197
Warmup Train [35][1970/2134]	Time 0.654 (0.629)	Data 0.002 (0.014)	Loss 4.1077 (4.1646)	Top-1 acc 25.391 (25.951)	Top-5 acc 50.391 (49.434)	lr 0.00196
Warmup Train [35][1980/2134]	Time 0.765 (0.629)	Data 0.002 (0.014)	Loss 4.0304 (4.1641)	Top-1 acc 28.906 (25.963)	Top-5 acc 51.172 (49.447)	lr 0.00196
Warmup Train [35][1990/2134]	Time 0.752 (0.629)	Data 0.002 (0.014)	Loss 4.2898 (4.1643)	Top-1 acc 23.047 (25.959)	Top-5 acc 47.656 (49.447)	lr 0.00195
Warmup Train [35][2000/2134]	Time 0.447 (0.629)	Data 0.003 (0.014)	Loss 4.1225 (4.1642)	Top-1 acc 23.438 (25.960)	Top-5 acc 50.781 (49.445)	lr 0.00195
Warmup Train [35][2010/2134]	Time 0.622 (0.629)	Data 0.003 (0.014)	Loss 3.9828 (4.1642)	Top-1 acc 30.469 (25.963)	Top-5 acc 50.781 (49.444)	lr 0.00195
Warmup Train [35][2020/2134]	Time 0.672 (0.629)	Data 0.004 (0.014)	Loss 3.9992 (4.1641)	Top-1 acc 28.906 (25.964)	Top-5 acc 55.078 (49.444)	lr 0.00194
Warmup Train [35][2030/2134]	Time 0.734 (0.630)	Data 0.002 (0.014)	Loss 4.1041 (4.1640)	Top-1 acc 26.953 (25.969)	Top-5 acc 51.562 (49.453)	lr 0.00194
Warmup Train [35][2040/2134]	Time 0.655 (0.630)	Data 0.002 (0.014)	Loss 4.1867 (4.1638)	Top-1 acc 27.734 (25.971)	Top-5 acc 51.172 (49.455)	lr 0.00194
Warmup Train [35][2050/2134]	Time 0.575 (0.630)	Data 0.003 (0.014)	Loss 4.3090 (4.1636)	Top-1 acc 21.875 (25.971)	Top-5 acc 45.312 (49.460)	lr 0.00193
Warmup Train [35][2060/2134]	Time 0.657 (0.630)	Data 0.002 (0.014)	Loss 4.1104 (4.1637)	Top-1 acc 28.516 (25.970)	Top-5 acc 50.000 (49.454)	lr 0.00193
Warmup Train [35][2070/2134]	Time 0.721 (0.630)	Data 0.001 (0.014)	Loss 4.1898 (4.1636)	Top-1 acc 22.266 (25.971)	Top-5 acc 50.000 (49.460)	lr 0.00193
Warmup Train [35][2080/2134]	Time 0.553 (0.630)	Data 0.000 (0.014)	Loss 4.0362 (4.1634)	Top-1 acc 28.516 (25.975)	Top-5 acc 55.859 (49.467)	lr 0.00192
Warmup Train [35][2090/2134]	Time 0.415 (0.629)	Data 0.000 (0.014)	Loss 4.1864 (4.1636)	Top-1 acc 27.734 (25.974)	Top-5 acc 50.000 (49.466)	lr 0.00192
Warmup Train [35][2100/2134]	Time 0.592 (0.629)	Data 0.000 (0.014)	Loss 4.1912 (4.1636)	Top-1 acc 28.516 (25.974)	Top-5 acc 50.000 (49.467)	lr 0.00192
Warmup Train [35][2110/2134]	Time 0.425 (0.629)	Data 0.000 (0.014)	Loss 4.3384 (4.1638)	Top-1 acc 21.094 (25.972)	Top-5 acc 45.312 (49.462)	lr 0.00191
Warmup Train [35][2120/2134]	Time 0.658 (0.629)	Data 0.000 (0.014)	Loss 4.0516 (4.1634)	Top-1 acc 27.344 (25.974)	Top-5 acc 52.344 (49.475)	lr 0.00191
Warmup Train [35][2130/2134]	Time 0.467 (0.629)	Data 0.000 (0.014)	Loss 4.1824 (4.1635)	Top-1 acc 23.047 (25.970)	Top-5 acc 44.922 (49.468)	lr 0.00190
Warmup Train [35][2134/2134]	Time 0.523 (0.629)	Data 0.000 (0.014)	Loss 4.1797 (4.1635)	Top-1 acc 27.807 (25.969)	Top-5 acc 47.594 (49.468)	lr 0.00190
==========Warmup Valid [35/40]	loss 3.171	top-1 acc 33.189	top-5 acc 58.950	Train top-1 25.969	top-5 49.468	flops: 442.4M
Warmup Train [36][0/2134]	Time 14.416 (14.416)	Data 12.857 (12.857)	Loss 3.9222 (3.9222)	Top-1 acc 33.594 (33.594)	Top-5 acc 54.297 (54.297)	lr 0.00190
Warmup Train [36][10/2134]	Time 0.523 (3.601)	Data 0.002 (2.825)	Loss 4.0932 (4.1437)	Top-1 acc 27.344 (25.923)	Top-5 acc 49.609 (48.899)	lr 0.00190
Warmup Train [36][20/2134]	Time 0.480 (2.179)	Data 0.002 (1.487)	Loss 4.0106 (4.1481)	Top-1 acc 30.078 (26.209)	Top-5 acc 52.734 (48.679)	lr 0.00190
Warmup Train [36][30/2134]	Time 0.693 (1.685)	Data 0.002 (1.013)	Loss 4.1649 (4.1583)	Top-1 acc 26.953 (26.386)	Top-5 acc 48.047 (49.017)	lr 0.00189
Warmup Train [36][40/2134]	Time 0.507 (1.428)	Data 0.002 (0.767)	Loss 4.1919 (4.1450)	Top-1 acc 25.391 (26.648)	Top-5 acc 48.828 (49.552)	lr 0.00189
Warmup Train [36][50/2134]	Time 0.707 (1.270)	Data 0.002 (0.619)	Loss 4.1878 (4.1432)	Top-1 acc 26.172 (26.501)	Top-5 acc 48.828 (49.563)	lr 0.00189
Warmup Train [36][60/2134]	Time 0.676 (1.165)	Data 0.003 (0.518)	Loss 4.3040 (4.1442)	Top-1 acc 18.359 (26.390)	Top-5 acc 45.312 (49.545)	lr 0.00188
Warmup Train [36][70/2134]	Time 0.667 (1.088)	Data 0.002 (0.446)	Loss 4.1143 (4.1411)	Top-1 acc 25.781 (26.408)	Top-5 acc 51.562 (49.681)	lr 0.00188
Warmup Train [36][80/2134]	Time 0.623 (1.028)	Data 0.003 (0.391)	Loss 4.0911 (4.1445)	Top-1 acc 28.125 (26.365)	Top-5 acc 48.828 (49.498)	lr 0.00187
Warmup Train [36][90/2134]	Time 0.549 (0.981)	Data 0.002 (0.349)	Loss 4.1311 (4.1529)	Top-1 acc 26.562 (26.236)	Top-5 acc 50.000 (49.481)	lr 0.00187
Warmup Train [36][100/2134]	Time 0.631 (0.946)	Data 0.002 (0.316)	Loss 4.1185 (4.1598)	Top-1 acc 30.469 (26.044)	Top-5 acc 50.000 (49.339)	lr 0.00187
Warmup Train [36][110/2134]	Time 0.634 (0.917)	Data 0.002 (0.288)	Loss 4.1431 (4.1621)	Top-1 acc 25.781 (26.031)	Top-5 acc 49.609 (49.307)	lr 0.00186
Warmup Train [36][120/2134]	Time 0.608 (0.892)	Data 0.003 (0.264)	Loss 4.0909 (4.1652)	Top-1 acc 30.078 (26.010)	Top-5 acc 49.609 (49.180)	lr 0.00186
Warmup Train [36][130/2134]	Time 0.612 (0.871)	Data 0.002 (0.245)	Loss 4.1361 (4.1634)	Top-1 acc 26.562 (26.029)	Top-5 acc 49.609 (49.222)	lr 0.00186
Warmup Train [36][140/2134]	Time 0.674 (0.856)	Data 0.003 (0.228)	Loss 4.0708 (4.1693)	Top-1 acc 27.734 (25.889)	Top-5 acc 50.781 (49.136)	lr 0.00185
Warmup Train [36][150/2134]	Time 0.666 (0.841)	Data 0.002 (0.213)	Loss 4.1482 (4.1684)	Top-1 acc 28.516 (25.908)	Top-5 acc 48.047 (49.177)	lr 0.00185
Warmup Train [36][160/2134]	Time 0.500 (0.826)	Data 0.002 (0.200)	Loss 4.1084 (4.1665)	Top-1 acc 27.734 (25.922)	Top-5 acc 51.562 (49.221)	lr 0.00185
Warmup Train [36][170/2134]	Time 0.457 (0.813)	Data 0.002 (0.189)	Loss 4.0646 (4.1620)	Top-1 acc 26.562 (26.012)	Top-5 acc 51.172 (49.326)	lr 0.00184
Warmup Train [36][180/2134]	Time 0.652 (0.804)	Data 0.003 (0.179)	Loss 4.1145 (4.1612)	Top-1 acc 28.516 (26.045)	Top-5 acc 53.516 (49.355)	lr 0.00184
Warmup Train [36][190/2134]	Time 0.631 (0.793)	Data 0.003 (0.170)	Loss 4.2810 (4.1600)	Top-1 acc 26.562 (26.100)	Top-5 acc 46.875 (49.460)	lr 0.00184
Warmup Train [36][200/2134]	Time 0.685 (0.786)	Data 0.002 (0.162)	Loss 4.2828 (4.1588)	Top-1 acc 23.047 (26.082)	Top-5 acc 46.484 (49.475)	lr 0.00183
Warmup Train [36][210/2134]	Time 0.642 (0.797)	Data 0.002 (0.155)	Loss 4.4475 (4.1630)	Top-1 acc 17.969 (25.922)	Top-5 acc 44.531 (49.395)	lr 0.00183
Warmup Train [36][220/2134]	Time 0.643 (0.788)	Data 0.002 (0.148)	Loss 4.2051 (4.1651)	Top-1 acc 20.703 (25.901)	Top-5 acc 50.391 (49.415)	lr 0.00183
Warmup Train [36][230/2134]	Time 0.644 (0.782)	Data 0.002 (0.142)	Loss 4.0014 (4.1631)	Top-1 acc 30.078 (25.932)	Top-5 acc 53.125 (49.466)	lr 0.00182
Warmup Train [36][240/2134]	Time 0.524 (0.774)	Data 0.002 (0.136)	Loss 4.2777 (4.1615)	Top-1 acc 24.219 (25.924)	Top-5 acc 44.141 (49.421)	lr 0.00182
Warmup Train [36][250/2134]	Time 0.692 (0.769)	Data 0.002 (0.132)	Loss 4.2736 (4.1625)	Top-1 acc 25.781 (25.915)	Top-5 acc 45.703 (49.398)	lr 0.00182
Warmup Train [36][260/2134]	Time 0.507 (0.763)	Data 0.002 (0.127)	Loss 4.3806 (4.1634)	Top-1 acc 18.750 (25.888)	Top-5 acc 39.062 (49.306)	lr 0.00181
Warmup Train [36][270/2134]	Time 0.793 (0.758)	Data 0.002 (0.122)	Loss 4.1304 (4.1615)	Top-1 acc 27.344 (25.908)	Top-5 acc 52.734 (49.356)	lr 0.00181
Warmup Train [36][280/2134]	Time 0.732 (0.753)	Data 0.002 (0.118)	Loss 4.0784 (4.1621)	Top-1 acc 26.953 (25.916)	Top-5 acc 52.734 (49.355)	lr 0.00181
Warmup Train [36][290/2134]	Time 0.473 (0.747)	Data 0.002 (0.114)	Loss 4.3130 (4.1623)	Top-1 acc 26.953 (25.878)	Top-5 acc 46.484 (49.349)	lr 0.00180
Warmup Train [36][300/2134]	Time 0.580 (0.743)	Data 0.002 (0.111)	Loss 4.1653 (4.1612)	Top-1 acc 24.609 (25.905)	Top-5 acc 51.172 (49.399)	lr 0.00180
Warmup Train [36][310/2134]	Time 0.497 (0.739)	Data 0.002 (0.107)	Loss 4.1207 (4.1605)	Top-1 acc 24.219 (25.933)	Top-5 acc 50.391 (49.435)	lr 0.00180
Warmup Train [36][320/2134]	Time 0.635 (0.736)	Data 0.003 (0.104)	Loss 4.0360 (4.1597)	Top-1 acc 28.516 (25.966)	Top-5 acc 52.344 (49.469)	lr 0.00179
Warmup Train [36][330/2134]	Time 0.581 (0.732)	Data 0.002 (0.101)	Loss 4.0509 (4.1578)	Top-1 acc 26.172 (26.036)	Top-5 acc 50.391 (49.522)	lr 0.00179
Warmup Train [36][340/2134]	Time 0.547 (0.728)	Data 0.002 (0.099)	Loss 4.1122 (4.1562)	Top-1 acc 27.734 (26.076)	Top-5 acc 53.906 (49.590)	lr 0.00179
Warmup Train [36][350/2134]	Time 0.743 (0.725)	Data 0.002 (0.096)	Loss 4.1864 (4.1567)	Top-1 acc 23.438 (26.094)	Top-5 acc 48.438 (49.592)	lr 0.00178
Warmup Train [36][360/2134]	Time 0.731 (0.722)	Data 0.002 (0.093)	Loss 4.1037 (4.1560)	Top-1 acc 27.344 (26.097)	Top-5 acc 51.172 (49.622)	lr 0.00178
Warmup Train [36][370/2134]	Time 0.351 (0.718)	Data 0.002 (0.091)	Loss 4.1584 (4.1570)	Top-1 acc 25.391 (26.070)	Top-5 acc 46.875 (49.546)	lr 0.00177
Warmup Train [36][380/2134]	Time 0.580 (0.715)	Data 0.002 (0.089)	Loss 4.2718 (4.1571)	Top-1 acc 26.172 (26.094)	Top-5 acc 46.094 (49.562)	lr 0.00177
Warmup Train [36][390/2134]	Time 0.746 (0.713)	Data 0.002 (0.087)	Loss 4.1534 (4.1578)	Top-1 acc 25.781 (26.091)	Top-5 acc 50.000 (49.569)	lr 0.00177
Warmup Train [36][400/2134]	Time 0.501 (0.710)	Data 0.002 (0.085)	Loss 4.0673 (4.1575)	Top-1 acc 31.641 (26.108)	Top-5 acc 51.953 (49.561)	lr 0.00176
Warmup Train [36][410/2134]	Time 0.607 (0.708)	Data 0.002 (0.083)	Loss 4.0301 (4.1568)	Top-1 acc 28.906 (26.126)	Top-5 acc 53.516 (49.572)	lr 0.00176
Warmup Train [36][420/2134]	Time 0.635 (0.706)	Data 0.002 (0.081)	Loss 4.2780 (4.1585)	Top-1 acc 23.438 (26.088)	Top-5 acc 45.312 (49.556)	lr 0.00176
Warmup Train [36][430/2134]	Time 0.584 (0.704)	Data 0.002 (0.079)	Loss 4.2759 (4.1567)	Top-1 acc 20.312 (26.099)	Top-5 acc 46.094 (49.589)	lr 0.00175
Warmup Train [36][440/2134]	Time 0.669 (0.702)	Data 0.002 (0.078)	Loss 4.1679 (4.1568)	Top-1 acc 23.828 (26.102)	Top-5 acc 47.266 (49.573)	lr 0.00175
Warmup Train [36][450/2134]	Time 0.696 (0.700)	Data 0.002 (0.076)	Loss 4.2368 (4.1566)	Top-1 acc 22.266 (26.110)	Top-5 acc 48.047 (49.587)	lr 0.00175
Warmup Train [36][460/2134]	Time 0.465 (0.698)	Data 0.002 (0.074)	Loss 4.2838 (4.1574)	Top-1 acc 28.906 (26.108)	Top-5 acc 49.219 (49.585)	lr 0.00174
Warmup Train [36][470/2134]	Time 0.506 (0.696)	Data 0.002 (0.073)	Loss 4.0221 (4.1574)	Top-1 acc 30.078 (26.133)	Top-5 acc 50.781 (49.566)	lr 0.00174
Warmup Train [36][480/2134]	Time 0.575 (0.695)	Data 0.002 (0.072)	Loss 4.2314 (4.1580)	Top-1 acc 25.391 (26.113)	Top-5 acc 47.656 (49.553)	lr 0.00174
Warmup Train [36][490/2134]	Time 0.783 (0.694)	Data 0.002 (0.071)	Loss 4.0826 (4.1586)	Top-1 acc 31.250 (26.134)	Top-5 acc 52.344 (49.534)	lr 0.00173
Warmup Train [36][500/2134]	Time 0.612 (0.692)	Data 0.005 (0.069)	Loss 4.1960 (4.1582)	Top-1 acc 25.391 (26.151)	Top-5 acc 48.047 (49.541)	lr 0.00173
Warmup Train [36][510/2134]	Time 0.403 (0.690)	Data 0.002 (0.068)	Loss 4.1055 (4.1581)	Top-1 acc 24.609 (26.125)	Top-5 acc 49.609 (49.528)	lr 0.00173
Warmup Train [36][520/2134]	Time 0.819 (0.688)	Data 0.002 (0.067)	Loss 4.4030 (4.1588)	Top-1 acc 21.875 (26.133)	Top-5 acc 44.141 (49.534)	lr 0.00172
Warmup Train [36][530/2134]	Time 0.679 (0.687)	Data 0.004 (0.066)	Loss 4.1839 (4.1583)	Top-1 acc 25.391 (26.143)	Top-5 acc 50.000 (49.534)	lr 0.00172
Warmup Train [36][540/2134]	Time 0.618 (0.692)	Data 0.002 (0.065)	Loss 3.9975 (4.1572)	Top-1 acc 32.422 (26.177)	Top-5 acc 55.469 (49.560)	lr 0.00172
Warmup Train [36][550/2134]	Time 0.676 (0.690)	Data 0.002 (0.064)	Loss 4.3140 (4.1569)	Top-1 acc 20.703 (26.171)	Top-5 acc 47.266 (49.585)	lr 0.00171
Warmup Train [36][560/2134]	Time 0.531 (0.689)	Data 0.004 (0.063)	Loss 4.0937 (4.1564)	Top-1 acc 25.391 (26.184)	Top-5 acc 46.875 (49.578)	lr 0.00171
Warmup Train [36][570/2134]	Time 0.596 (0.687)	Data 0.002 (0.062)	Loss 4.1647 (4.1564)	Top-1 acc 23.047 (26.202)	Top-5 acc 51.953 (49.596)	lr 0.00171
Warmup Train [36][580/2134]	Time 0.474 (0.686)	Data 0.002 (0.061)	Loss 4.1342 (4.1561)	Top-1 acc 30.078 (26.209)	Top-5 acc 48.438 (49.591)	lr 0.00170
Warmup Train [36][590/2134]	Time 0.644 (0.685)	Data 0.003 (0.060)	Loss 4.1508 (4.1570)	Top-1 acc 27.344 (26.206)	Top-5 acc 49.609 (49.588)	lr 0.00170
Warmup Train [36][600/2134]	Time 0.603 (0.684)	Data 0.002 (0.059)	Loss 4.1076 (4.1569)	Top-1 acc 27.344 (26.206)	Top-5 acc 48.828 (49.594)	lr 0.00170
Warmup Train [36][610/2134]	Time 0.430 (0.682)	Data 0.002 (0.058)	Loss 4.0640 (4.1574)	Top-1 acc 30.078 (26.217)	Top-5 acc 51.953 (49.575)	lr 0.00169
Warmup Train [36][620/2134]	Time 0.583 (0.681)	Data 0.003 (0.057)	Loss 4.0482 (4.1565)	Top-1 acc 28.125 (26.222)	Top-5 acc 51.562 (49.584)	lr 0.00169
Warmup Train [36][630/2134]	Time 0.628 (0.681)	Data 0.002 (0.057)	Loss 4.2669 (4.1556)	Top-1 acc 22.656 (26.233)	Top-5 acc 48.438 (49.623)	lr 0.00169
Warmup Train [36][640/2134]	Time 0.511 (0.679)	Data 0.003 (0.056)	Loss 4.2351 (4.1553)	Top-1 acc 22.656 (26.238)	Top-5 acc 46.484 (49.642)	lr 0.00168
Warmup Train [36][650/2134]	Time 0.519 (0.678)	Data 0.004 (0.055)	Loss 4.2831 (4.1550)	Top-1 acc 23.047 (26.240)	Top-5 acc 45.312 (49.634)	lr 0.00168
Warmup Train [36][660/2134]	Time 0.687 (0.678)	Data 0.002 (0.055)	Loss 4.2705 (4.1552)	Top-1 acc 27.344 (26.244)	Top-5 acc 45.703 (49.624)	lr 0.00168
Warmup Train [36][670/2134]	Time 0.660 (0.677)	Data 0.002 (0.054)	Loss 4.1165 (4.1552)	Top-1 acc 26.953 (26.245)	Top-5 acc 47.266 (49.615)	lr 0.00167
Warmup Train [36][680/2134]	Time 0.603 (0.676)	Data 0.002 (0.053)	Loss 4.3464 (4.1550)	Top-1 acc 20.703 (26.237)	Top-5 acc 42.578 (49.612)	lr 0.00167
Warmup Train [36][690/2134]	Time 0.683 (0.675)	Data 0.002 (0.052)	Loss 4.0341 (4.1549)	Top-1 acc 26.953 (26.240)	Top-5 acc 51.172 (49.622)	lr 0.00167
Warmup Train [36][700/2134]	Time 0.619 (0.674)	Data 0.002 (0.052)	Loss 4.0136 (4.1552)	Top-1 acc 29.297 (26.227)	Top-5 acc 55.078 (49.619)	lr 0.00166
Warmup Train [36][710/2134]	Time 0.510 (0.673)	Data 0.002 (0.051)	Loss 4.3088 (4.1554)	Top-1 acc 23.828 (26.230)	Top-5 acc 44.141 (49.619)	lr 0.00166
Warmup Train [36][720/2134]	Time 0.606 (0.672)	Data 0.002 (0.050)	Loss 4.0268 (4.1549)	Top-1 acc 27.344 (26.235)	Top-5 acc 52.734 (49.632)	lr 0.00166
Warmup Train [36][730/2134]	Time 0.699 (0.671)	Data 0.004 (0.050)	Loss 4.2867 (4.1554)	Top-1 acc 27.344 (26.231)	Top-5 acc 44.922 (49.615)	lr 0.00165
Warmup Train [36][740/2134]	Time 0.436 (0.670)	Data 0.003 (0.049)	Loss 4.1464 (4.1550)	Top-1 acc 26.172 (26.216)	Top-5 acc 50.000 (49.613)	lr 0.00165
Warmup Train [36][750/2134]	Time 0.699 (0.670)	Data 0.002 (0.049)	Loss 4.3609 (4.1552)	Top-1 acc 19.531 (26.199)	Top-5 acc 41.016 (49.599)	lr 0.00165
Warmup Train [36][760/2134]	Time 0.635 (0.669)	Data 0.003 (0.048)	Loss 4.0862 (4.1548)	Top-1 acc 28.906 (26.214)	Top-5 acc 55.078 (49.616)	lr 0.00164
Warmup Train [36][770/2134]	Time 0.681 (0.668)	Data 0.002 (0.048)	Loss 4.2207 (4.1554)	Top-1 acc 22.266 (26.198)	Top-5 acc 47.266 (49.611)	lr 0.00164
Warmup Train [36][780/2134]	Time 0.691 (0.667)	Data 0.002 (0.047)	Loss 4.2484 (4.1553)	Top-1 acc 26.953 (26.206)	Top-5 acc 46.484 (49.613)	lr 0.00164
Warmup Train [36][790/2134]	Time 0.753 (0.667)	Data 0.002 (0.047)	Loss 4.0744 (4.1559)	Top-1 acc 26.562 (26.199)	Top-5 acc 55.078 (49.603)	lr 0.00163
Warmup Train [36][800/2134]	Time 0.566 (0.666)	Data 0.002 (0.046)	Loss 4.1338 (4.1555)	Top-1 acc 29.297 (26.212)	Top-5 acc 48.047 (49.619)	lr 0.00163
Warmup Train [36][810/2134]	Time 0.655 (0.665)	Data 0.002 (0.046)	Loss 4.0136 (4.1557)	Top-1 acc 28.906 (26.218)	Top-5 acc 54.688 (49.621)	lr 0.00163
Warmup Train [36][820/2134]	Time 0.701 (0.665)	Data 0.002 (0.045)	Loss 4.0900 (4.1556)	Top-1 acc 28.125 (26.226)	Top-5 acc 52.344 (49.627)	lr 0.00162
Warmup Train [36][830/2134]	Time 0.430 (0.664)	Data 0.002 (0.045)	Loss 4.0545 (4.1552)	Top-1 acc 25.781 (26.225)	Top-5 acc 50.000 (49.627)	lr 0.00162
Warmup Train [36][840/2134]	Time 0.599 (0.664)	Data 0.003 (0.044)	Loss 4.1575 (4.1547)	Top-1 acc 26.562 (26.226)	Top-5 acc 49.219 (49.639)	lr 0.00162
Warmup Train [36][850/2134]	Time 0.483 (0.663)	Data 0.002 (0.044)	Loss 4.2089 (4.1543)	Top-1 acc 26.953 (26.232)	Top-5 acc 46.484 (49.652)	lr 0.00162
Warmup Train [36][860/2134]	Time 0.673 (0.663)	Data 0.003 (0.044)	Loss 4.0505 (4.1548)	Top-1 acc 28.125 (26.210)	Top-5 acc 54.688 (49.641)	lr 0.00161
Warmup Train [36][870/2134]	Time 0.599 (0.667)	Data 0.002 (0.043)	Loss 4.1780 (4.1547)	Top-1 acc 28.516 (26.210)	Top-5 acc 54.297 (49.655)	lr 0.00161
Warmup Train [36][880/2134]	Time 0.695 (0.667)	Data 0.002 (0.043)	Loss 4.2400 (4.1542)	Top-1 acc 23.047 (26.214)	Top-5 acc 46.484 (49.659)	lr 0.00161
Warmup Train [36][890/2134]	Time 0.684 (0.666)	Data 0.003 (0.042)	Loss 4.0685 (4.1539)	Top-1 acc 28.125 (26.218)	Top-5 acc 49.609 (49.665)	lr 0.00160
Warmup Train [36][900/2134]	Time 0.694 (0.665)	Data 0.002 (0.042)	Loss 4.1864 (4.1543)	Top-1 acc 20.312 (26.207)	Top-5 acc 47.266 (49.656)	lr 0.00160
Warmup Train [36][910/2134]	Time 0.617 (0.665)	Data 0.002 (0.042)	Loss 4.0679 (4.1545)	Top-1 acc 26.953 (26.205)	Top-5 acc 51.562 (49.650)	lr 0.00160
Warmup Train [36][920/2134]	Time 0.478 (0.664)	Data 0.004 (0.041)	Loss 4.1030 (4.1545)	Top-1 acc 27.734 (26.196)	Top-5 acc 51.562 (49.649)	lr 0.00159
Warmup Train [36][930/2134]	Time 0.722 (0.663)	Data 0.002 (0.041)	Loss 4.0520 (4.1550)	Top-1 acc 24.219 (26.186)	Top-5 acc 55.469 (49.650)	lr 0.00159
Warmup Train [36][940/2134]	Time 0.448 (0.663)	Data 0.002 (0.040)	Loss 4.2421 (4.1549)	Top-1 acc 25.781 (26.180)	Top-5 acc 44.531 (49.648)	lr 0.00159
Warmup Train [36][950/2134]	Time 0.596 (0.662)	Data 0.002 (0.040)	Loss 4.1193 (4.1547)	Top-1 acc 28.125 (26.197)	Top-5 acc 50.000 (49.661)	lr 0.00158
Warmup Train [36][960/2134]	Time 0.699 (0.662)	Data 0.002 (0.040)	Loss 4.1690 (4.1538)	Top-1 acc 28.906 (26.215)	Top-5 acc 50.391 (49.675)	lr 0.00158
Warmup Train [36][970/2134]	Time 0.552 (0.661)	Data 0.003 (0.039)	Loss 4.0302 (4.1531)	Top-1 acc 28.906 (26.233)	Top-5 acc 48.828 (49.695)	lr 0.00158
Warmup Train [36][980/2134]	Time 0.588 (0.661)	Data 0.002 (0.039)	Loss 4.4442 (4.1539)	Top-1 acc 16.797 (26.214)	Top-5 acc 42.188 (49.676)	lr 0.00157
Warmup Train [36][990/2134]	Time 0.417 (0.660)	Data 0.002 (0.039)	Loss 4.2486 (4.1539)	Top-1 acc 27.344 (26.216)	Top-5 acc 49.219 (49.685)	lr 0.00157
Warmup Train [36][1000/2134]	Time 0.653 (0.660)	Data 0.002 (0.039)	Loss 4.2468 (4.1536)	Top-1 acc 22.656 (26.223)	Top-5 acc 48.438 (49.707)	lr 0.00157
Warmup Train [36][1010/2134]	Time 0.567 (0.659)	Data 0.002 (0.038)	Loss 4.1589 (4.1532)	Top-1 acc 23.828 (26.226)	Top-5 acc 51.562 (49.723)	lr 0.00156
Warmup Train [36][1020/2134]	Time 0.537 (0.659)	Data 0.002 (0.038)	Loss 4.1984 (4.1531)	Top-1 acc 27.734 (26.235)	Top-5 acc 49.609 (49.727)	lr 0.00156
Warmup Train [36][1030/2134]	Time 0.577 (0.658)	Data 0.002 (0.038)	Loss 4.1304 (4.1528)	Top-1 acc 24.219 (26.240)	Top-5 acc 49.219 (49.744)	lr 0.00156
Warmup Train [36][1040/2134]	Time 0.716 (0.658)	Data 0.002 (0.037)	Loss 4.3017 (4.1532)	Top-1 acc 22.656 (26.232)	Top-5 acc 48.438 (49.738)	lr 0.00155
Warmup Train [36][1050/2134]	Time 0.793 (0.658)	Data 0.002 (0.037)	Loss 4.2141 (4.1530)	Top-1 acc 23.047 (26.228)	Top-5 acc 49.219 (49.744)	lr 0.00155
Warmup Train [36][1060/2134]	Time 0.685 (0.657)	Data 0.002 (0.037)	Loss 4.2136 (4.1534)	Top-1 acc 28.125 (26.215)	Top-5 acc 48.828 (49.737)	lr 0.00155
Warmup Train [36][1070/2134]	Time 0.562 (0.657)	Data 0.003 (0.036)	Loss 4.3748 (4.1538)	Top-1 acc 21.875 (26.217)	Top-5 acc 43.359 (49.726)	lr 0.00154
Warmup Train [36][1080/2134]	Time 0.569 (0.656)	Data 0.005 (0.036)	Loss 4.1831 (4.1536)	Top-1 acc 27.344 (26.221)	Top-5 acc 52.344 (49.734)	lr 0.00154
Warmup Train [36][1090/2134]	Time 0.572 (0.656)	Data 0.003 (0.036)	Loss 3.8584 (4.1535)	Top-1 acc 31.250 (26.230)	Top-5 acc 54.688 (49.729)	lr 0.00154
Warmup Train [36][1100/2134]	Time 0.672 (0.656)	Data 0.003 (0.036)	Loss 4.1373 (4.1536)	Top-1 acc 26.953 (26.226)	Top-5 acc 48.828 (49.730)	lr 0.00153
Warmup Train [36][1110/2134]	Time 0.589 (0.655)	Data 0.006 (0.035)	Loss 4.0527 (4.1533)	Top-1 acc 23.828 (26.223)	Top-5 acc 47.266 (49.744)	lr 0.00153
Warmup Train [36][1120/2134]	Time 0.612 (0.655)	Data 0.003 (0.035)	Loss 4.1653 (4.1531)	Top-1 acc 27.344 (26.231)	Top-5 acc 48.438 (49.746)	lr 0.00153
Warmup Train [36][1130/2134]	Time 0.696 (0.654)	Data 0.002 (0.035)	Loss 3.9808 (4.1527)	Top-1 acc 26.953 (26.238)	Top-5 acc 53.906 (49.750)	lr 0.00153
Warmup Train [36][1140/2134]	Time 0.281 (0.654)	Data 0.003 (0.034)	Loss 4.1573 (4.1529)	Top-1 acc 25.391 (26.231)	Top-5 acc 50.391 (49.752)	lr 0.00152
Warmup Train [36][1150/2134]	Time 0.448 (0.653)	Data 0.002 (0.034)	Loss 4.1212 (4.1526)	Top-1 acc 25.391 (26.231)	Top-5 acc 50.391 (49.756)	lr 0.00152
Warmup Train [36][1160/2134]	Time 0.428 (0.653)	Data 0.002 (0.034)	Loss 4.2378 (4.1533)	Top-1 acc 26.562 (26.215)	Top-5 acc 48.438 (49.738)	lr 0.00152
Warmup Train [36][1170/2134]	Time 0.550 (0.653)	Data 0.004 (0.034)	Loss 4.1585 (4.1535)	Top-1 acc 28.516 (26.218)	Top-5 acc 53.125 (49.727)	lr 0.00151
Warmup Train [36][1180/2134]	Time 0.563 (0.652)	Data 0.002 (0.034)	Loss 4.2187 (4.1534)	Top-1 acc 24.609 (26.218)	Top-5 acc 46.875 (49.726)	lr 0.00151
Warmup Train [36][1190/2134]	Time 0.606 (0.652)	Data 0.004 (0.034)	Loss 4.2030 (4.1532)	Top-1 acc 21.875 (26.214)	Top-5 acc 49.609 (49.731)	lr 0.00151
Warmup Train [36][1200/2134]	Time 0.704 (0.652)	Data 0.002 (0.033)	Loss 4.2876 (4.1533)	Top-1 acc 25.391 (26.219)	Top-5 acc 46.094 (49.728)	lr 0.00150
Warmup Train [36][1210/2134]	Time 0.761 (0.654)	Data 0.002 (0.033)	Loss 4.2396 (4.1534)	Top-1 acc 23.047 (26.214)	Top-5 acc 46.484 (49.723)	lr 0.00150
Warmup Train [36][1220/2134]	Time 0.540 (0.654)	Data 0.002 (0.033)	Loss 4.0427 (4.1532)	Top-1 acc 28.906 (26.225)	Top-5 acc 50.391 (49.725)	lr 0.00150
Warmup Train [36][1230/2134]	Time 0.599 (0.654)	Data 0.002 (0.033)	Loss 4.0798 (4.1532)	Top-1 acc 30.859 (26.218)	Top-5 acc 51.172 (49.728)	lr 0.00149
Warmup Train [36][1240/2134]	Time 0.662 (0.653)	Data 0.004 (0.032)	Loss 4.1788 (4.1527)	Top-1 acc 26.172 (26.230)	Top-5 acc 48.828 (49.740)	lr 0.00149
Warmup Train [36][1250/2134]	Time 0.610 (0.653)	Data 0.002 (0.032)	Loss 4.1450 (4.1534)	Top-1 acc 26.172 (26.214)	Top-5 acc 49.609 (49.723)	lr 0.00149
Warmup Train [36][1260/2134]	Time 0.586 (0.653)	Data 0.002 (0.032)	Loss 4.2819 (4.1537)	Top-1 acc 26.953 (26.203)	Top-5 acc 44.531 (49.710)	lr 0.00148
Warmup Train [36][1270/2134]	Time 0.592 (0.653)	Data 0.003 (0.032)	Loss 4.0877 (4.1536)	Top-1 acc 27.734 (26.198)	Top-5 acc 47.656 (49.699)	lr 0.00148
Warmup Train [36][1280/2134]	Time 0.639 (0.652)	Data 0.002 (0.032)	Loss 4.2414 (4.1534)	Top-1 acc 25.391 (26.215)	Top-5 acc 48.438 (49.703)	lr 0.00148
Warmup Train [36][1290/2134]	Time 0.582 (0.652)	Data 0.002 (0.031)	Loss 4.1008 (4.1538)	Top-1 acc 24.609 (26.207)	Top-5 acc 49.219 (49.705)	lr 0.00148
Warmup Train [36][1300/2134]	Time 0.651 (0.652)	Data 0.002 (0.031)	Loss 4.1011 (4.1537)	Top-1 acc 26.172 (26.208)	Top-5 acc 50.000 (49.708)	lr 0.00147
Warmup Train [36][1310/2134]	Time 0.567 (0.651)	Data 0.002 (0.031)	Loss 4.2340 (4.1540)	Top-1 acc 24.219 (26.209)	Top-5 acc 48.438 (49.702)	lr 0.00147
Warmup Train [36][1320/2134]	Time 0.606 (0.651)	Data 0.002 (0.031)	Loss 4.1507 (4.1536)	Top-1 acc 25.391 (26.224)	Top-5 acc 47.656 (49.713)	lr 0.00147
Warmup Train [36][1330/2134]	Time 0.872 (0.650)	Data 0.003 (0.031)	Loss 4.1633 (4.1534)	Top-1 acc 23.828 (26.217)	Top-5 acc 50.781 (49.714)	lr 0.00146
Warmup Train [36][1340/2134]	Time 0.665 (0.650)	Data 0.002 (0.030)	Loss 4.0415 (4.1534)	Top-1 acc 26.172 (26.208)	Top-5 acc 54.297 (49.716)	lr 0.00146
Warmup Train [36][1350/2134]	Time 0.560 (0.650)	Data 0.002 (0.030)	Loss 4.2955 (4.1528)	Top-1 acc 24.219 (26.223)	Top-5 acc 46.094 (49.728)	lr 0.00146
Warmup Train [36][1360/2134]	Time 0.540 (0.649)	Data 0.002 (0.030)	Loss 4.0959 (4.1524)	Top-1 acc 28.125 (26.229)	Top-5 acc 52.344 (49.739)	lr 0.00145
Warmup Train [36][1370/2134]	Time 0.590 (0.649)	Data 0.002 (0.030)	Loss 4.2003 (4.1524)	Top-1 acc 25.391 (26.223)	Top-5 acc 46.484 (49.743)	lr 0.00145
Warmup Train [36][1380/2134]	Time 0.594 (0.649)	Data 0.002 (0.030)	Loss 4.0356 (4.1528)	Top-1 acc 29.297 (26.221)	Top-5 acc 51.953 (49.734)	lr 0.00145
Warmup Train [36][1390/2134]	Time 0.700 (0.649)	Data 0.002 (0.030)	Loss 4.2897 (4.1529)	Top-1 acc 26.172 (26.217)	Top-5 acc 46.094 (49.738)	lr 0.00144
Warmup Train [36][1400/2134]	Time 0.553 (0.649)	Data 0.003 (0.029)	Loss 4.1660 (4.1529)	Top-1 acc 24.609 (26.212)	Top-5 acc 51.562 (49.739)	lr 0.00144
Warmup Train [36][1410/2134]	Time 0.391 (0.648)	Data 0.002 (0.029)	Loss 4.2063 (4.1528)	Top-1 acc 25.781 (26.214)	Top-5 acc 50.781 (49.753)	lr 0.00144
Warmup Train [36][1420/2134]	Time 0.527 (0.648)	Data 0.002 (0.029)	Loss 4.1245 (4.1528)	Top-1 acc 27.734 (26.222)	Top-5 acc 51.562 (49.754)	lr 0.00143
Warmup Train [36][1430/2134]	Time 0.670 (0.648)	Data 0.002 (0.029)	Loss 4.1676 (4.1528)	Top-1 acc 25.000 (26.220)	Top-5 acc 48.438 (49.750)	lr 0.00143
Warmup Train [36][1440/2134]	Time 0.650 (0.648)	Data 0.002 (0.029)	Loss 4.1770 (4.1527)	Top-1 acc 29.297 (26.224)	Top-5 acc 50.391 (49.754)	lr 0.00143
Warmup Train [36][1450/2134]	Time 0.493 (0.647)	Data 0.002 (0.029)	Loss 4.0146 (4.1525)	Top-1 acc 28.516 (26.223)	Top-5 acc 55.469 (49.757)	lr 0.00143
Warmup Train [36][1460/2134]	Time 0.599 (0.647)	Data 0.002 (0.029)	Loss 4.1906 (4.1526)	Top-1 acc 25.000 (26.223)	Top-5 acc 48.047 (49.749)	lr 0.00142
Warmup Train [36][1470/2134]	Time 0.430 (0.647)	Data 0.002 (0.028)	Loss 4.1701 (4.1528)	Top-1 acc 25.000 (26.216)	Top-5 acc 46.875 (49.747)	lr 0.00142
Warmup Train [36][1480/2134]	Time 0.504 (0.647)	Data 0.002 (0.028)	Loss 4.1445 (4.1531)	Top-1 acc 23.828 (26.209)	Top-5 acc 48.438 (49.739)	lr 0.00142
Warmup Train [36][1490/2134]	Time 0.748 (0.647)	Data 0.002 (0.028)	Loss 4.3961 (4.1535)	Top-1 acc 20.312 (26.202)	Top-5 acc 42.969 (49.719)	lr 0.00141
Warmup Train [36][1500/2134]	Time 0.446 (0.647)	Data 0.002 (0.028)	Loss 4.2676 (4.1536)	Top-1 acc 27.734 (26.203)	Top-5 acc 50.391 (49.718)	lr 0.00141
Warmup Train [36][1510/2134]	Time 0.740 (0.646)	Data 0.002 (0.028)	Loss 4.2502 (4.1539)	Top-1 acc 26.172 (26.200)	Top-5 acc 46.875 (49.721)	lr 0.00141
Warmup Train [36][1520/2134]	Time 0.633 (0.646)	Data 0.002 (0.028)	Loss 4.1373 (4.1539)	Top-1 acc 28.906 (26.198)	Top-5 acc 51.562 (49.721)	lr 0.00140
Warmup Train [36][1530/2134]	Time 0.411 (0.646)	Data 0.002 (0.028)	Loss 4.1494 (4.1537)	Top-1 acc 25.000 (26.205)	Top-5 acc 46.484 (49.725)	lr 0.00140
Warmup Train [36][1540/2134]	Time 0.657 (0.645)	Data 0.003 (0.028)	Loss 3.9877 (4.1536)	Top-1 acc 27.734 (26.206)	Top-5 acc 51.172 (49.727)	lr 0.00140
Warmup Train [36][1550/2134]	Time 0.596 (0.647)	Data 0.002 (0.028)	Loss 4.0819 (4.1535)	Top-1 acc 26.562 (26.198)	Top-5 acc 51.562 (49.726)	lr 0.00140
Warmup Train [36][1560/2134]	Time 0.525 (0.647)	Data 0.002 (0.027)	Loss 4.1224 (4.1534)	Top-1 acc 26.172 (26.202)	Top-5 acc 52.734 (49.724)	lr 0.00139
Warmup Train [36][1570/2134]	Time 0.634 (0.647)	Data 0.002 (0.027)	Loss 4.2600 (4.1535)	Top-1 acc 27.734 (26.204)	Top-5 acc 46.484 (49.720)	lr 0.00139
Warmup Train [36][1580/2134]	Time 0.708 (0.647)	Data 0.002 (0.027)	Loss 4.2165 (4.1535)	Top-1 acc 24.609 (26.207)	Top-5 acc 48.438 (49.723)	lr 0.00139
Warmup Train [36][1590/2134]	Time 0.613 (0.646)	Data 0.002 (0.027)	Loss 4.0043 (4.1533)	Top-1 acc 33.203 (26.210)	Top-5 acc 57.812 (49.732)	lr 0.00138
Warmup Train [36][1600/2134]	Time 0.593 (0.646)	Data 0.002 (0.027)	Loss 4.1332 (4.1534)	Top-1 acc 23.438 (26.203)	Top-5 acc 51.953 (49.728)	lr 0.00138
Warmup Train [36][1610/2134]	Time 0.590 (0.646)	Data 0.002 (0.027)	Loss 4.4105 (4.1538)	Top-1 acc 21.875 (26.193)	Top-5 acc 42.188 (49.722)	lr 0.00138
Warmup Train [36][1620/2134]	Time 0.594 (0.646)	Data 0.004 (0.027)	Loss 4.1853 (4.1534)	Top-1 acc 26.172 (26.197)	Top-5 acc 46.094 (49.731)	lr 0.00137
Warmup Train [36][1630/2134]	Time 0.511 (0.645)	Data 0.002 (0.026)	Loss 3.9495 (4.1537)	Top-1 acc 29.297 (26.192)	Top-5 acc 54.688 (49.717)	lr 0.00137
Warmup Train [36][1640/2134]	Time 0.617 (0.645)	Data 0.002 (0.026)	Loss 4.1748 (4.1538)	Top-1 acc 23.047 (26.191)	Top-5 acc 46.875 (49.714)	lr 0.00137
Warmup Train [36][1650/2134]	Time 0.499 (0.645)	Data 0.002 (0.026)	Loss 4.1664 (4.1534)	Top-1 acc 26.562 (26.192)	Top-5 acc 44.922 (49.719)	lr 0.00137
Warmup Train [36][1660/2134]	Time 0.561 (0.645)	Data 0.002 (0.026)	Loss 4.1462 (4.1531)	Top-1 acc 25.391 (26.202)	Top-5 acc 50.000 (49.722)	lr 0.00136
Warmup Train [36][1670/2134]	Time 0.589 (0.645)	Data 0.002 (0.026)	Loss 4.0755 (4.1529)	Top-1 acc 22.266 (26.205)	Top-5 acc 48.828 (49.723)	lr 0.00136
Warmup Train [36][1680/2134]	Time 0.624 (0.645)	Data 0.003 (0.026)	Loss 4.1597 (4.1528)	Top-1 acc 26.953 (26.205)	Top-5 acc 47.656 (49.725)	lr 0.00136
Warmup Train [36][1690/2134]	Time 0.588 (0.644)	Data 0.002 (0.026)	Loss 4.3138 (4.1529)	Top-1 acc 23.438 (26.200)	Top-5 acc 47.656 (49.718)	lr 0.00135
Warmup Train [36][1700/2134]	Time 0.679 (0.644)	Data 0.002 (0.026)	Loss 4.2161 (4.1528)	Top-1 acc 22.266 (26.201)	Top-5 acc 44.922 (49.718)	lr 0.00135
Warmup Train [36][1710/2134]	Time 0.739 (0.644)	Data 0.002 (0.026)	Loss 4.2707 (4.1532)	Top-1 acc 22.656 (26.190)	Top-5 acc 44.141 (49.709)	lr 0.00135
Warmup Train [36][1720/2134]	Time 0.555 (0.643)	Data 0.002 (0.025)	Loss 4.1140 (4.1532)	Top-1 acc 25.781 (26.197)	Top-5 acc 50.391 (49.713)	lr 0.00134
Warmup Train [36][1730/2134]	Time 0.788 (0.643)	Data 0.002 (0.025)	Loss 4.1306 (4.1531)	Top-1 acc 30.078 (26.197)	Top-5 acc 52.734 (49.716)	lr 0.00134
Warmup Train [36][1740/2134]	Time 0.648 (0.643)	Data 0.002 (0.025)	Loss 4.0965 (4.1532)	Top-1 acc 30.078 (26.202)	Top-5 acc 52.734 (49.711)	lr 0.00134
Warmup Train [36][1750/2134]	Time 0.587 (0.643)	Data 0.002 (0.025)	Loss 4.1185 (4.1528)	Top-1 acc 28.516 (26.215)	Top-5 acc 51.953 (49.722)	lr 0.00134
Warmup Train [36][1760/2134]	Time 0.720 (0.643)	Data 0.002 (0.025)	Loss 4.2553 (4.1531)	Top-1 acc 24.609 (26.210)	Top-5 acc 46.875 (49.714)	lr 0.00133
Warmup Train [36][1770/2134]	Time 0.602 (0.643)	Data 0.002 (0.025)	Loss 4.1089 (4.1533)	Top-1 acc 27.734 (26.214)	Top-5 acc 48.828 (49.710)	lr 0.00133
Warmup Train [36][1780/2134]	Time 0.684 (0.643)	Data 0.004 (0.025)	Loss 4.1539 (4.1530)	Top-1 acc 26.172 (26.215)	Top-5 acc 51.172 (49.721)	lr 0.00133
Warmup Train [36][1790/2134]	Time 0.505 (0.643)	Data 0.002 (0.025)	Loss 4.2441 (4.1530)	Top-1 acc 21.484 (26.213)	Top-5 acc 43.359 (49.717)	lr 0.00132
Warmup Train [36][1800/2134]	Time 0.691 (0.643)	Data 0.002 (0.025)	Loss 4.2218 (4.1534)	Top-1 acc 23.047 (26.201)	Top-5 acc 48.438 (49.709)	lr 0.00132
Warmup Train [36][1810/2134]	Time 0.612 (0.643)	Data 0.002 (0.024)	Loss 4.2653 (4.1534)	Top-1 acc 23.438 (26.200)	Top-5 acc 52.344 (49.713)	lr 0.00132
Warmup Train [36][1820/2134]	Time 0.640 (0.642)	Data 0.002 (0.024)	Loss 3.9986 (4.1534)	Top-1 acc 30.469 (26.201)	Top-5 acc 54.688 (49.722)	lr 0.00131
Warmup Train [36][1830/2134]	Time 0.593 (0.642)	Data 0.002 (0.024)	Loss 4.2167 (4.1534)	Top-1 acc 23.047 (26.198)	Top-5 acc 44.922 (49.719)	lr 0.00131
Warmup Train [36][1840/2134]	Time 0.515 (0.642)	Data 0.002 (0.024)	Loss 4.1127 (4.1534)	Top-1 acc 27.344 (26.198)	Top-5 acc 48.047 (49.721)	lr 0.00131
Warmup Train [36][1850/2134]	Time 0.482 (0.642)	Data 0.003 (0.024)	Loss 3.8164 (4.1532)	Top-1 acc 38.281 (26.209)	Top-5 acc 59.766 (49.727)	lr 0.00131
Warmup Train [36][1860/2134]	Time 0.625 (0.642)	Data 0.002 (0.024)	Loss 4.1707 (4.1534)	Top-1 acc 24.609 (26.207)	Top-5 acc 46.094 (49.721)	lr 0.00130
Warmup Train [36][1870/2134]	Time 0.658 (0.642)	Data 0.006 (0.024)	Loss 3.9029 (4.1534)	Top-1 acc 30.859 (26.206)	Top-5 acc 54.297 (49.720)	lr 0.00130
Warmup Train [36][1880/2134]	Time 0.674 (0.642)	Data 0.002 (0.024)	Loss 4.1104 (4.1535)	Top-1 acc 24.219 (26.203)	Top-5 acc 49.609 (49.719)	lr 0.00130
Warmup Train [36][1890/2134]	Time 0.455 (0.643)	Data 0.005 (0.024)	Loss 4.1543 (4.1535)	Top-1 acc 26.172 (26.200)	Top-5 acc 48.828 (49.722)	lr 0.00129
Warmup Train [36][1900/2134]	Time 0.582 (0.643)	Data 0.003 (0.024)	Loss 4.1795 (4.1535)	Top-1 acc 25.000 (26.202)	Top-5 acc 45.703 (49.725)	lr 0.00129
Warmup Train [36][1910/2134]	Time 0.703 (0.643)	Data 0.002 (0.024)	Loss 4.0373 (4.1535)	Top-1 acc 26.562 (26.203)	Top-5 acc 52.344 (49.729)	lr 0.00129
Warmup Train [36][1920/2134]	Time 0.654 (0.642)	Data 0.002 (0.023)	Loss 4.2776 (4.1536)	Top-1 acc 26.953 (26.197)	Top-5 acc 45.312 (49.731)	lr 0.00129
Warmup Train [36][1930/2134]	Time 0.556 (0.642)	Data 0.002 (0.023)	Loss 4.2058 (4.1534)	Top-1 acc 25.781 (26.203)	Top-5 acc 49.219 (49.737)	lr 0.00128
Warmup Train [36][1940/2134]	Time 0.637 (0.642)	Data 0.002 (0.023)	Loss 4.2410 (4.1535)	Top-1 acc 23.047 (26.200)	Top-5 acc 46.094 (49.728)	lr 0.00128
Warmup Train [36][1950/2134]	Time 0.622 (0.642)	Data 0.002 (0.023)	Loss 4.1339 (4.1536)	Top-1 acc 26.172 (26.197)	Top-5 acc 50.391 (49.728)	lr 0.00128
Warmup Train [36][1960/2134]	Time 0.622 (0.642)	Data 0.002 (0.023)	Loss 3.9509 (4.1533)	Top-1 acc 28.125 (26.203)	Top-5 acc 54.688 (49.734)	lr 0.00127
Warmup Train [36][1970/2134]	Time 0.603 (0.642)	Data 0.002 (0.023)	Loss 4.1349 (4.1534)	Top-1 acc 28.125 (26.202)	Top-5 acc 49.219 (49.731)	lr 0.00127
Warmup Train [36][1980/2134]	Time 0.651 (0.642)	Data 0.002 (0.023)	Loss 4.1081 (4.1534)	Top-1 acc 25.000 (26.202)	Top-5 acc 51.172 (49.730)	lr 0.00127
Warmup Train [36][1990/2134]	Time 0.639 (0.641)	Data 0.002 (0.023)	Loss 4.1803 (4.1534)	Top-1 acc 26.953 (26.204)	Top-5 acc 50.781 (49.733)	lr 0.00127
Warmup Train [36][2000/2134]	Time 0.614 (0.641)	Data 0.002 (0.023)	Loss 4.1701 (4.1534)	Top-1 acc 24.219 (26.204)	Top-5 acc 50.781 (49.732)	lr 0.00126
Warmup Train [36][2010/2134]	Time 0.615 (0.641)	Data 0.002 (0.023)	Loss 4.2196 (4.1533)	Top-1 acc 24.219 (26.206)	Top-5 acc 48.828 (49.732)	lr 0.00126
Warmup Train [36][2020/2134]	Time 0.521 (0.641)	Data 0.003 (0.023)	Loss 4.2992 (4.1534)	Top-1 acc 23.828 (26.196)	Top-5 acc 49.219 (49.725)	lr 0.00126
Warmup Train [36][2030/2134]	Time 0.581 (0.641)	Data 0.002 (0.023)	Loss 4.0809 (4.1535)	Top-1 acc 26.562 (26.195)	Top-5 acc 50.000 (49.723)	lr 0.00125
Warmup Train [36][2040/2134]	Time 0.476 (0.640)	Data 0.002 (0.022)	Loss 4.2927 (4.1538)	Top-1 acc 22.656 (26.190)	Top-5 acc 46.094 (49.714)	lr 0.00125
Warmup Train [36][2050/2134]	Time 0.405 (0.640)	Data 0.002 (0.022)	Loss 4.2681 (4.1540)	Top-1 acc 20.312 (26.189)	Top-5 acc 45.703 (49.719)	lr 0.00125
Warmup Train [36][2060/2134]	Time 0.664 (0.641)	Data 0.002 (0.022)	Loss 4.2928 (4.1539)	Top-1 acc 23.828 (26.192)	Top-5 acc 47.656 (49.718)	lr 0.00124
Warmup Train [36][2070/2134]	Time 0.657 (0.640)	Data 0.002 (0.022)	Loss 4.0312 (4.1538)	Top-1 acc 30.078 (26.198)	Top-5 acc 51.172 (49.717)	lr 0.00124
Warmup Train [36][2080/2134]	Time 0.628 (0.640)	Data 0.000 (0.022)	Loss 4.1522 (4.1537)	Top-1 acc 26.562 (26.199)	Top-5 acc 48.438 (49.719)	lr 0.00124
Warmup Train [36][2090/2134]	Time 0.703 (0.640)	Data 0.000 (0.022)	Loss 4.2945 (4.1537)	Top-1 acc 25.391 (26.203)	Top-5 acc 47.266 (49.722)	lr 0.00124
Warmup Train [36][2100/2134]	Time 0.689 (0.639)	Data 0.000 (0.022)	Loss 4.2137 (4.1539)	Top-1 acc 22.656 (26.196)	Top-5 acc 46.875 (49.718)	lr 0.00123
Warmup Train [36][2110/2134]	Time 0.455 (0.639)	Data 0.000 (0.022)	Loss 3.9624 (4.1539)	Top-1 acc 30.859 (26.198)	Top-5 acc 54.297 (49.722)	lr 0.00123
Warmup Train [36][2120/2134]	Time 0.571 (0.639)	Data 0.000 (0.022)	Loss 4.3070 (4.1540)	Top-1 acc 19.922 (26.190)	Top-5 acc 49.609 (49.717)	lr 0.00123
Warmup Train [36][2130/2134]	Time 0.720 (0.639)	Data 0.000 (0.022)	Loss 4.1545 (4.1541)	Top-1 acc 26.953 (26.189)	Top-5 acc 50.781 (49.719)	lr 0.00123
Warmup Train [36][2134/2134]	Time 0.562 (0.639)	Data 0.000 (0.022)	Loss 4.0273 (4.1540)	Top-1 acc 32.620 (26.193)	Top-5 acc 52.941 (49.722)	lr 0.00122
==========Warmup Valid [36/40]	loss 3.160	top-1 acc 33.518	top-5 acc 59.023	Train top-1 26.193	top-5 49.722	flops: 442.4M
Warmup Train [37][0/2134]	Time 15.189 (15.189)	Data 13.219 (13.219)	Loss 4.2124 (4.2124)	Top-1 acc 25.000 (25.000)	Top-5 acc 49.609 (49.609)	lr 0.00122
Warmup Train [37][10/2134]	Time 0.643 (2.057)	Data 0.002 (1.212)	Loss 4.1273 (4.1417)	Top-1 acc 29.688 (26.669)	Top-5 acc 48.828 (50.000)	lr 0.00122
Warmup Train [37][20/2134]	Time 0.600 (1.382)	Data 0.028 (0.643)	Loss 4.0754 (4.1679)	Top-1 acc 29.297 (25.893)	Top-5 acc 53.906 (50.093)	lr 0.00122
Warmup Train [37][30/2134]	Time 0.599 (1.130)	Data 0.002 (0.436)	Loss 4.2125 (4.1538)	Top-1 acc 25.781 (26.222)	Top-5 acc 49.219 (50.454)	lr 0.00122
Warmup Train [37][40/2134]	Time 0.780 (0.997)	Data 0.003 (0.331)	Loss 4.2974 (4.1512)	Top-1 acc 21.875 (26.172)	Top-5 acc 45.312 (50.514)	lr 0.00121
Warmup Train [37][50/2134]	Time 0.522 (0.920)	Data 0.002 (0.267)	Loss 4.0404 (4.1470)	Top-1 acc 29.688 (26.356)	Top-5 acc 51.953 (50.414)	lr 0.00121
Warmup Train [37][60/2134]	Time 0.657 (0.875)	Data 0.002 (0.225)	Loss 4.1515 (4.1439)	Top-1 acc 21.094 (26.306)	Top-5 acc 49.609 (50.435)	lr 0.00121
Warmup Train [37][70/2134]	Time 0.652 (0.905)	Data 0.002 (0.194)	Loss 4.2532 (4.1502)	Top-1 acc 22.656 (26.287)	Top-5 acc 47.656 (50.149)	lr 0.00120
Warmup Train [37][80/2134]	Time 0.687 (0.873)	Data 0.002 (0.170)	Loss 4.1757 (4.1514)	Top-1 acc 24.609 (26.172)	Top-5 acc 49.609 (50.068)	lr 0.00120
Warmup Train [37][90/2134]	Time 0.493 (0.843)	Data 0.003 (0.152)	Loss 4.3135 (4.1580)	Top-1 acc 25.000 (26.103)	Top-5 acc 46.094 (49.833)	lr 0.00120
Warmup Train [37][100/2134]	Time 0.720 (0.822)	Data 0.002 (0.138)	Loss 4.2996 (4.1554)	Top-1 acc 26.953 (26.064)	Top-5 acc 47.266 (49.899)	lr 0.00120
Warmup Train [37][110/2134]	Time 0.600 (0.803)	Data 0.003 (0.126)	Loss 4.2800 (4.1607)	Top-1 acc 23.438 (25.908)	Top-5 acc 46.875 (49.757)	lr 0.00119
Warmup Train [37][120/2134]	Time 0.711 (0.787)	Data 0.002 (0.116)	Loss 4.1892 (4.1606)	Top-1 acc 20.703 (25.881)	Top-5 acc 47.266 (49.674)	lr 0.00119
Warmup Train [37][130/2134]	Time 0.675 (0.772)	Data 0.002 (0.107)	Loss 4.3552 (4.1590)	Top-1 acc 22.266 (25.817)	Top-5 acc 44.531 (49.663)	lr 0.00119
Warmup Train [37][140/2134]	Time 0.577 (0.761)	Data 0.002 (0.100)	Loss 4.2589 (4.1592)	Top-1 acc 23.047 (25.837)	Top-5 acc 44.141 (49.620)	lr 0.00118
Warmup Train [37][150/2134]	Time 0.699 (0.752)	Data 0.002 (0.093)	Loss 4.2132 (4.1596)	Top-1 acc 25.391 (25.887)	Top-5 acc 45.703 (49.602)	lr 0.00118
Warmup Train [37][160/2134]	Time 0.705 (0.743)	Data 0.003 (0.088)	Loss 4.0921 (4.1581)	Top-1 acc 30.078 (25.985)	Top-5 acc 52.734 (49.685)	lr 0.00118
Warmup Train [37][170/2134]	Time 0.740 (0.735)	Data 0.002 (0.083)	Loss 4.2163 (4.1614)	Top-1 acc 25.391 (25.918)	Top-5 acc 50.391 (49.609)	lr 0.00118
Warmup Train [37][180/2134]	Time 0.598 (0.728)	Data 0.002 (0.078)	Loss 4.1828 (4.1613)	Top-1 acc 25.391 (25.980)	Top-5 acc 48.438 (49.629)	lr 0.00117
Warmup Train [37][190/2134]	Time 0.415 (0.721)	Data 0.002 (0.075)	Loss 4.3977 (4.1628)	Top-1 acc 20.703 (25.924)	Top-5 acc 46.875 (49.595)	lr 0.00117
Warmup Train [37][200/2134]	Time 0.626 (0.715)	Data 0.003 (0.072)	Loss 4.1308 (4.1593)	Top-1 acc 25.781 (25.925)	Top-5 acc 48.438 (49.615)	lr 0.00117
Warmup Train [37][210/2134]	Time 0.705 (0.709)	Data 0.002 (0.068)	Loss 4.1822 (4.1606)	Top-1 acc 24.219 (25.940)	Top-5 acc 47.656 (49.589)	lr 0.00116
Warmup Train [37][220/2134]	Time 0.582 (0.704)	Data 0.002 (0.066)	Loss 4.2981 (4.1597)	Top-1 acc 23.828 (25.999)	Top-5 acc 41.797 (49.625)	lr 0.00116
Warmup Train [37][230/2134]	Time 0.622 (0.700)	Data 0.002 (0.063)	Loss 4.1238 (4.1604)	Top-1 acc 25.000 (25.998)	Top-5 acc 49.219 (49.613)	lr 0.00116
Warmup Train [37][240/2134]	Time 0.513 (0.696)	Data 0.002 (0.061)	Loss 4.1952 (4.1615)	Top-1 acc 28.516 (25.963)	Top-5 acc 48.438 (49.564)	lr 0.00116
Warmup Train [37][250/2134]	Time 0.606 (0.693)	Data 0.002 (0.059)	Loss 4.2378 (4.1625)	Top-1 acc 23.438 (25.940)	Top-5 acc 47.266 (49.539)	lr 0.00115
Warmup Train [37][260/2134]	Time 0.663 (0.691)	Data 0.002 (0.057)	Loss 3.9706 (4.1627)	Top-1 acc 29.688 (25.925)	Top-5 acc 54.688 (49.500)	lr 0.00115
Warmup Train [37][270/2134]	Time 0.669 (0.688)	Data 0.002 (0.055)	Loss 4.1617 (4.1638)	Top-1 acc 23.828 (25.904)	Top-5 acc 46.484 (49.439)	lr 0.00115
Warmup Train [37][280/2134]	Time 0.664 (0.686)	Data 0.003 (0.053)	Loss 4.1510 (4.1636)	Top-1 acc 27.344 (25.904)	Top-5 acc 49.219 (49.422)	lr 0.00115
Warmup Train [37][290/2134]	Time 0.571 (0.683)	Data 0.002 (0.051)	Loss 4.2341 (4.1631)	Top-1 acc 26.953 (25.926)	Top-5 acc 47.266 (49.412)	lr 0.00114
Warmup Train [37][300/2134]	Time 0.528 (0.680)	Data 0.002 (0.050)	Loss 4.3207 (4.1643)	Top-1 acc 23.047 (25.906)	Top-5 acc 46.484 (49.390)	lr 0.00114
Warmup Train [37][310/2134]	Time 0.511 (0.678)	Data 0.002 (0.049)	Loss 4.2471 (4.1643)	Top-1 acc 23.828 (25.898)	Top-5 acc 47.266 (49.426)	lr 0.00114
Warmup Train [37][320/2134]	Time 0.705 (0.677)	Data 0.002 (0.048)	Loss 4.1244 (4.1635)	Top-1 acc 21.875 (25.896)	Top-5 acc 50.781 (49.468)	lr 0.00113
Warmup Train [37][330/2134]	Time 0.751 (0.676)	Data 0.002 (0.046)	Loss 4.2149 (4.1651)	Top-1 acc 26.953 (25.879)	Top-5 acc 49.219 (49.437)	lr 0.00113
Warmup Train [37][340/2134]	Time 0.578 (0.674)	Data 0.002 (0.045)	Loss 4.0726 (4.1645)	Top-1 acc 28.516 (25.892)	Top-5 acc 50.000 (49.438)	lr 0.00113
Warmup Train [37][350/2134]	Time 0.586 (0.672)	Data 0.003 (0.044)	Loss 4.0612 (4.1652)	Top-1 acc 27.734 (25.880)	Top-5 acc 50.781 (49.403)	lr 0.00113
Warmup Train [37][360/2134]	Time 0.640 (0.671)	Data 0.002 (0.043)	Loss 4.4648 (4.1645)	Top-1 acc 18.359 (25.881)	Top-5 acc 44.141 (49.418)	lr 0.00112
Warmup Train [37][370/2134]	Time 0.619 (0.669)	Data 0.002 (0.042)	Loss 4.2155 (4.1637)	Top-1 acc 25.781 (25.874)	Top-5 acc 48.438 (49.451)	lr 0.00112
Warmup Train [37][380/2134]	Time 0.744 (0.668)	Data 0.003 (0.041)	Loss 4.2302 (4.1625)	Top-1 acc 25.391 (25.899)	Top-5 acc 51.953 (49.502)	lr 0.00112
Warmup Train [37][390/2134]	Time 0.404 (0.666)	Data 0.003 (0.040)	Loss 4.3277 (4.1628)	Top-1 acc 23.047 (25.920)	Top-5 acc 45.312 (49.501)	lr 0.00112
Warmup Train [37][400/2134]	Time 0.661 (0.665)	Data 0.002 (0.039)	Loss 4.0390 (4.1614)	Top-1 acc 30.469 (25.965)	Top-5 acc 53.906 (49.534)	lr 0.00111
Warmup Train [37][410/2134]	Time 0.612 (0.663)	Data 0.002 (0.039)	Loss 4.0731 (4.1618)	Top-1 acc 28.516 (25.955)	Top-5 acc 51.562 (49.514)	lr 0.00111
Warmup Train [37][420/2134]	Time 0.562 (0.662)	Data 0.003 (0.038)	Loss 4.3119 (4.1630)	Top-1 acc 28.906 (25.947)	Top-5 acc 45.703 (49.473)	lr 0.00111
Warmup Train [37][430/2134]	Time 0.464 (0.669)	Data 0.002 (0.037)	Loss 4.0426 (4.1632)	Top-1 acc 25.391 (25.917)	Top-5 acc 51.562 (49.473)	lr 0.00110
Warmup Train [37][440/2134]	Time 0.558 (0.668)	Data 0.002 (0.036)	Loss 4.2703 (4.1643)	Top-1 acc 25.000 (25.902)	Top-5 acc 44.531 (49.449)	lr 0.00110
Warmup Train [37][450/2134]	Time 0.697 (0.666)	Data 0.002 (0.036)	Loss 4.1453 (4.1639)	Top-1 acc 30.078 (25.915)	Top-5 acc 51.953 (49.456)	lr 0.00110
Warmup Train [37][460/2134]	Time 0.649 (0.664)	Data 0.002 (0.035)	Loss 4.0877 (4.1639)	Top-1 acc 25.781 (25.928)	Top-5 acc 47.656 (49.443)	lr 0.00110
Warmup Train [37][470/2134]	Time 0.613 (0.663)	Data 0.002 (0.035)	Loss 4.1035 (4.1638)	Top-1 acc 30.859 (25.936)	Top-5 acc 50.781 (49.435)	lr 0.00109
Warmup Train [37][480/2134]	Time 0.663 (0.662)	Data 0.002 (0.034)	Loss 4.4126 (4.1647)	Top-1 acc 22.656 (25.942)	Top-5 acc 46.094 (49.433)	lr 0.00109
Warmup Train [37][490/2134]	Time 0.599 (0.660)	Data 0.002 (0.033)	Loss 4.1132 (4.1647)	Top-1 acc 25.391 (25.940)	Top-5 acc 51.562 (49.428)	lr 0.00109
Warmup Train [37][500/2134]	Time 0.653 (0.659)	Data 0.002 (0.033)	Loss 4.0894 (4.1641)	Top-1 acc 24.609 (25.944)	Top-5 acc 50.000 (49.419)	lr 0.00109
Warmup Train [37][510/2134]	Time 0.783 (0.658)	Data 0.002 (0.032)	Loss 4.0513 (4.1624)	Top-1 acc 24.609 (25.965)	Top-5 acc 49.609 (49.462)	lr 0.00108
Warmup Train [37][520/2134]	Time 0.588 (0.657)	Data 0.002 (0.032)	Loss 4.1932 (4.1635)	Top-1 acc 28.125 (25.973)	Top-5 acc 51.562 (49.442)	lr 0.00108
Warmup Train [37][530/2134]	Time 0.561 (0.656)	Data 0.003 (0.031)	Loss 4.0733 (4.1621)	Top-1 acc 28.125 (25.980)	Top-5 acc 53.906 (49.480)	lr 0.00108
Warmup Train [37][540/2134]	Time 0.646 (0.656)	Data 0.002 (0.031)	Loss 4.0599 (4.1619)	Top-1 acc 28.906 (25.979)	Top-5 acc 50.391 (49.495)	lr 0.00107
Warmup Train [37][550/2134]	Time 0.435 (0.655)	Data 0.002 (0.030)	Loss 4.2118 (4.1629)	Top-1 acc 25.000 (25.974)	Top-5 acc 46.484 (49.460)	lr 0.00107
Warmup Train [37][560/2134]	Time 0.649 (0.654)	Data 0.003 (0.030)	Loss 4.0887 (4.1624)	Top-1 acc 28.906 (25.998)	Top-5 acc 53.125 (49.467)	lr 0.00107
Warmup Train [37][570/2134]	Time 0.521 (0.654)	Data 0.002 (0.030)	Loss 4.0295 (4.1618)	Top-1 acc 29.688 (26.017)	Top-5 acc 52.734 (49.476)	lr 0.00107
Warmup Train [37][580/2134]	Time 0.580 (0.653)	Data 0.004 (0.030)	Loss 4.1709 (4.1626)	Top-1 acc 24.219 (26.008)	Top-5 acc 47.266 (49.478)	lr 0.00106
Warmup Train [37][590/2134]	Time 0.663 (0.653)	Data 0.002 (0.029)	Loss 4.1420 (4.1621)	Top-1 acc 25.000 (26.019)	Top-5 acc 46.875 (49.483)	lr 0.00106
Warmup Train [37][600/2134]	Time 0.561 (0.653)	Data 0.002 (0.029)	Loss 4.1057 (4.1622)	Top-1 acc 27.344 (26.024)	Top-5 acc 53.125 (49.483)	lr 0.00106
Warmup Train [37][610/2134]	Time 0.416 (0.651)	Data 0.031 (0.028)	Loss 3.9226 (4.1616)	Top-1 acc 28.906 (26.009)	Top-5 acc 51.953 (49.506)	lr 0.00106
Warmup Train [37][620/2134]	Time 0.603 (0.651)	Data 0.002 (0.028)	Loss 4.4530 (4.1617)	Top-1 acc 21.875 (26.008)	Top-5 acc 42.188 (49.505)	lr 0.00105
Warmup Train [37][630/2134]	Time 0.645 (0.651)	Data 0.003 (0.028)	Loss 3.8975 (4.1609)	Top-1 acc 32.422 (26.041)	Top-5 acc 57.812 (49.523)	lr 0.00105
Warmup Train [37][640/2134]	Time 0.610 (0.650)	Data 0.002 (0.027)	Loss 4.1823 (4.1608)	Top-1 acc 24.609 (26.045)	Top-5 acc 51.953 (49.531)	lr 0.00105
Warmup Train [37][650/2134]	Time 0.750 (0.650)	Data 0.002 (0.027)	Loss 4.2316 (4.1607)	Top-1 acc 25.000 (26.036)	Top-5 acc 50.000 (49.540)	lr 0.00105
Warmup Train [37][660/2134]	Time 0.641 (0.649)	Data 0.002 (0.027)	Loss 4.0888 (4.1601)	Top-1 acc 30.859 (26.053)	Top-5 acc 51.953 (49.562)	lr 0.00104
Warmup Train [37][670/2134]	Time 0.640 (0.649)	Data 0.002 (0.027)	Loss 4.2721 (4.1601)	Top-1 acc 25.000 (26.050)	Top-5 acc 45.312 (49.554)	lr 0.00104
Warmup Train [37][680/2134]	Time 0.642 (0.649)	Data 0.002 (0.026)	Loss 4.2480 (4.1600)	Top-1 acc 23.047 (26.063)	Top-5 acc 45.312 (49.558)	lr 0.00104
Warmup Train [37][690/2134]	Time 0.531 (0.648)	Data 0.002 (0.026)	Loss 4.2387 (4.1602)	Top-1 acc 24.219 (26.073)	Top-5 acc 46.875 (49.553)	lr 0.00104
Warmup Train [37][700/2134]	Time 0.503 (0.648)	Data 0.002 (0.026)	Loss 4.0660 (4.1593)	Top-1 acc 26.562 (26.097)	Top-5 acc 50.000 (49.573)	lr 0.00103
Warmup Train [37][710/2134]	Time 0.592 (0.647)	Data 0.003 (0.026)	Loss 4.0094 (4.1582)	Top-1 acc 30.859 (26.115)	Top-5 acc 52.734 (49.592)	lr 0.00103
Warmup Train [37][720/2134]	Time 0.607 (0.646)	Data 0.003 (0.025)	Loss 4.2525 (4.1575)	Top-1 acc 24.609 (26.130)	Top-5 acc 46.484 (49.618)	lr 0.00103
Warmup Train [37][730/2134]	Time 0.666 (0.646)	Data 0.002 (0.025)	Loss 4.0312 (4.1570)	Top-1 acc 26.953 (26.136)	Top-5 acc 52.734 (49.632)	lr 0.00102
Warmup Train [37][740/2134]	Time 0.504 (0.645)	Data 0.002 (0.025)	Loss 4.2192 (4.1575)	Top-1 acc 24.609 (26.118)	Top-5 acc 46.094 (49.616)	lr 0.00102
Warmup Train [37][750/2134]	Time 0.628 (0.646)	Data 0.002 (0.025)	Loss 4.1324 (4.1574)	Top-1 acc 28.125 (26.117)	Top-5 acc 51.953 (49.607)	lr 0.00102
Warmup Train [37][760/2134]	Time 0.691 (0.645)	Data 0.003 (0.024)	Loss 4.0538 (4.1568)	Top-1 acc 26.562 (26.119)	Top-5 acc 52.734 (49.614)	lr 0.00102
Warmup Train [37][770/2134]	Time 0.675 (0.649)	Data 0.002 (0.024)	Loss 3.9650 (4.1565)	Top-1 acc 30.469 (26.126)	Top-5 acc 52.734 (49.624)	lr 0.00101
Warmup Train [37][780/2134]	Time 0.518 (0.649)	Data 0.002 (0.024)	Loss 4.0130 (4.1562)	Top-1 acc 26.562 (26.117)	Top-5 acc 51.562 (49.633)	lr 0.00101
Warmup Train [37][790/2134]	Time 0.680 (0.648)	Data 0.002 (0.024)	Loss 4.2516 (4.1564)	Top-1 acc 25.000 (26.123)	Top-5 acc 48.047 (49.622)	lr 0.00101
Warmup Train [37][800/2134]	Time 0.638 (0.648)	Data 0.002 (0.024)	Loss 4.0591 (4.1565)	Top-1 acc 27.344 (26.129)	Top-5 acc 50.000 (49.609)	lr 0.00101
Warmup Train [37][810/2134]	Time 0.703 (0.647)	Data 0.002 (0.023)	Loss 4.1261 (4.1570)	Top-1 acc 24.609 (26.122)	Top-5 acc 48.438 (49.591)	lr 0.00100
Warmup Train [37][820/2134]	Time 0.668 (0.646)	Data 0.002 (0.023)	Loss 4.1113 (4.1569)	Top-1 acc 28.516 (26.129)	Top-5 acc 49.219 (49.597)	lr 0.00100
Warmup Train [37][830/2134]	Time 0.818 (0.646)	Data 0.030 (0.023)	Loss 4.1724 (4.1564)	Top-1 acc 23.047 (26.129)	Top-5 acc 49.219 (49.601)	lr 0.00100
Warmup Train [37][840/2134]	Time 0.672 (0.645)	Data 0.002 (0.023)	Loss 4.2019 (4.1568)	Top-1 acc 26.953 (26.127)	Top-5 acc 49.609 (49.593)	lr 0.00100
Warmup Train [37][850/2134]	Time 0.600 (0.645)	Data 0.002 (0.022)	Loss 3.9229 (4.1568)	Top-1 acc 29.297 (26.130)	Top-5 acc 56.641 (49.596)	lr 0.00099
Warmup Train [37][860/2134]	Time 0.738 (0.645)	Data 0.003 (0.022)	Loss 4.3604 (4.1567)	Top-1 acc 23.438 (26.141)	Top-5 acc 45.703 (49.598)	lr 0.00099
Warmup Train [37][870/2134]	Time 0.619 (0.644)	Data 0.002 (0.022)	Loss 4.1282 (4.1571)	Top-1 acc 28.516 (26.140)	Top-5 acc 48.438 (49.582)	lr 0.00099
Warmup Train [37][880/2134]	Time 0.613 (0.644)	Data 0.003 (0.022)	Loss 4.0315 (4.1570)	Top-1 acc 29.297 (26.139)	Top-5 acc 50.391 (49.588)	lr 0.00099
Warmup Train [37][890/2134]	Time 0.693 (0.644)	Data 0.002 (0.022)	Loss 4.2962 (4.1571)	Top-1 acc 26.172 (26.143)	Top-5 acc 48.828 (49.584)	lr 0.00098
Warmup Train [37][900/2134]	Time 0.595 (0.643)	Data 0.002 (0.021)	Loss 4.1649 (4.1567)	Top-1 acc 25.391 (26.157)	Top-5 acc 48.047 (49.586)	lr 0.00098
Warmup Train [37][910/2134]	Time 0.544 (0.643)	Data 0.003 (0.021)	Loss 3.9637 (4.1568)	Top-1 acc 32.031 (26.161)	Top-5 acc 51.562 (49.589)	lr 0.00098
Warmup Train [37][920/2134]	Time 0.406 (0.643)	Data 0.002 (0.021)	Loss 4.1371 (4.1572)	Top-1 acc 24.219 (26.159)	Top-5 acc 48.828 (49.572)	lr 0.00098
Warmup Train [37][930/2134]	Time 0.589 (0.642)	Data 0.002 (0.021)	Loss 3.9347 (4.1570)	Top-1 acc 32.422 (26.157)	Top-5 acc 55.859 (49.580)	lr 0.00097
Warmup Train [37][940/2134]	Time 0.567 (0.642)	Data 0.002 (0.021)	Loss 4.0915 (4.1568)	Top-1 acc 27.734 (26.164)	Top-5 acc 48.828 (49.568)	lr 0.00097
Warmup Train [37][950/2134]	Time 0.523 (0.642)	Data 0.002 (0.021)	Loss 4.2320 (4.1570)	Top-1 acc 26.953 (26.171)	Top-5 acc 50.781 (49.563)	lr 0.00097
Warmup Train [37][960/2134]	Time 0.615 (0.641)	Data 0.002 (0.021)	Loss 4.2934 (4.1570)	Top-1 acc 22.656 (26.162)	Top-5 acc 46.094 (49.562)	lr 0.00097
Warmup Train [37][970/2134]	Time 0.596 (0.641)	Data 0.002 (0.021)	Loss 4.1192 (4.1570)	Top-1 acc 28.516 (26.168)	Top-5 acc 49.609 (49.565)	lr 0.00096
Warmup Train [37][980/2134]	Time 0.520 (0.641)	Data 0.003 (0.020)	Loss 4.0936 (4.1560)	Top-1 acc 27.344 (26.189)	Top-5 acc 50.391 (49.600)	lr 0.00096
Warmup Train [37][990/2134]	Time 0.544 (0.641)	Data 0.002 (0.020)	Loss 4.2933 (4.1563)	Top-1 acc 21.875 (26.173)	Top-5 acc 42.969 (49.583)	lr 0.00096
Warmup Train [37][1000/2134]	Time 0.609 (0.640)	Data 0.002 (0.020)	Loss 3.9852 (4.1559)	Top-1 acc 26.172 (26.173)	Top-5 acc 53.125 (49.593)	lr 0.00096
Warmup Train [37][1010/2134]	Time 0.635 (0.640)	Data 0.002 (0.020)	Loss 4.2017 (4.1556)	Top-1 acc 24.609 (26.180)	Top-5 acc 48.828 (49.604)	lr 0.00095
Warmup Train [37][1020/2134]	Time 0.690 (0.640)	Data 0.002 (0.020)	Loss 4.1475 (4.1554)	Top-1 acc 25.391 (26.178)	Top-5 acc 47.656 (49.603)	lr 0.00095
Warmup Train [37][1030/2134]	Time 0.405 (0.639)	Data 0.005 (0.020)	Loss 4.3827 (4.1551)	Top-1 acc 20.312 (26.185)	Top-5 acc 42.969 (49.607)	lr 0.00095
Warmup Train [37][1040/2134]	Time 0.399 (0.639)	Data 0.002 (0.020)	Loss 4.2292 (4.1549)	Top-1 acc 23.828 (26.179)	Top-5 acc 49.219 (49.615)	lr 0.00095
Warmup Train [37][1050/2134]	Time 0.648 (0.639)	Data 0.002 (0.020)	Loss 4.3204 (4.1546)	Top-1 acc 24.609 (26.178)	Top-5 acc 44.531 (49.626)	lr 0.00094
Warmup Train [37][1060/2134]	Time 0.600 (0.639)	Data 0.002 (0.020)	Loss 4.2530 (4.1541)	Top-1 acc 26.953 (26.190)	Top-5 acc 49.609 (49.640)	lr 0.00094
Warmup Train [37][1070/2134]	Time 0.643 (0.639)	Data 0.002 (0.020)	Loss 4.2764 (4.1539)	Top-1 acc 23.828 (26.193)	Top-5 acc 44.531 (49.644)	lr 0.00094
Warmup Train [37][1080/2134]	Time 0.667 (0.639)	Data 0.002 (0.020)	Loss 4.0832 (4.1537)	Top-1 acc 32.031 (26.194)	Top-5 acc 51.953 (49.643)	lr 0.00094
Warmup Train [37][1090/2134]	Time 0.852 (0.639)	Data 0.002 (0.019)	Loss 4.1745 (4.1538)	Top-1 acc 26.562 (26.193)	Top-5 acc 50.000 (49.647)	lr 0.00093
Warmup Train [37][1100/2134]	Time 0.437 (0.638)	Data 0.003 (0.019)	Loss 4.1382 (4.1539)	Top-1 acc 30.469 (26.198)	Top-5 acc 52.734 (49.641)	lr 0.00093
Warmup Train [37][1110/2134]	Time 0.660 (0.638)	Data 0.002 (0.019)	Loss 4.1554 (4.1539)	Top-1 acc 29.688 (26.204)	Top-5 acc 51.562 (49.643)	lr 0.00093
Warmup Train [37][1120/2134]	Time 0.550 (0.641)	Data 0.003 (0.019)	Loss 4.0977 (4.1536)	Top-1 acc 23.828 (26.210)	Top-5 acc 50.000 (49.646)	lr 0.00093
Warmup Train [37][1130/2134]	Time 0.669 (0.642)	Data 0.003 (0.019)	Loss 4.2088 (4.1536)	Top-1 acc 26.562 (26.215)	Top-5 acc 47.266 (49.641)	lr 0.00092
Warmup Train [37][1140/2134]	Time 0.583 (0.641)	Data 0.002 (0.019)	Loss 4.1650 (4.1538)	Top-1 acc 26.172 (26.203)	Top-5 acc 48.438 (49.633)	lr 0.00092
Warmup Train [37][1150/2134]	Time 0.563 (0.641)	Data 0.002 (0.019)	Loss 4.1979 (4.1537)	Top-1 acc 23.828 (26.204)	Top-5 acc 46.484 (49.631)	lr 0.00092
Warmup Train [37][1160/2134]	Time 0.546 (0.640)	Data 0.002 (0.019)	Loss 4.3193 (4.1537)	Top-1 acc 25.000 (26.209)	Top-5 acc 44.922 (49.631)	lr 0.00092
Warmup Train [37][1170/2134]	Time 0.593 (0.640)	Data 0.002 (0.019)	Loss 4.0464 (4.1539)	Top-1 acc 27.734 (26.206)	Top-5 acc 53.125 (49.621)	lr 0.00091
Warmup Train [37][1180/2134]	Time 0.630 (0.640)	Data 0.002 (0.019)	Loss 4.1283 (4.1540)	Top-1 acc 22.656 (26.200)	Top-5 acc 48.438 (49.617)	lr 0.00091
Warmup Train [37][1190/2134]	Time 0.661 (0.639)	Data 0.002 (0.019)	Loss 4.2765 (4.1541)	Top-1 acc 21.484 (26.197)	Top-5 acc 46.484 (49.612)	lr 0.00091
Warmup Train [37][1200/2134]	Time 0.527 (0.639)	Data 0.002 (0.018)	Loss 4.1677 (4.1543)	Top-1 acc 26.562 (26.188)	Top-5 acc 51.172 (49.615)	lr 0.00091
Warmup Train [37][1210/2134]	Time 0.445 (0.638)	Data 0.002 (0.018)	Loss 4.1522 (4.1542)	Top-1 acc 24.219 (26.185)	Top-5 acc 47.656 (49.618)	lr 0.00090
Warmup Train [37][1220/2134]	Time 0.725 (0.639)	Data 0.002 (0.018)	Loss 4.3046 (4.1546)	Top-1 acc 24.609 (26.181)	Top-5 acc 46.875 (49.618)	lr 0.00090
Warmup Train [37][1230/2134]	Time 0.780 (0.638)	Data 0.002 (0.018)	Loss 3.8858 (4.1543)	Top-1 acc 31.641 (26.189)	Top-5 acc 58.203 (49.629)	lr 0.00090
Warmup Train [37][1240/2134]	Time 0.558 (0.638)	Data 0.002 (0.018)	Loss 4.0541 (4.1540)	Top-1 acc 34.375 (26.205)	Top-5 acc 51.953 (49.633)	lr 0.00090
Warmup Train [37][1250/2134]	Time 0.635 (0.638)	Data 0.003 (0.018)	Loss 4.0479 (4.1541)	Top-1 acc 27.734 (26.203)	Top-5 acc 55.078 (49.631)	lr 0.00089
Warmup Train [37][1260/2134]	Time 0.698 (0.638)	Data 0.002 (0.018)	Loss 4.2390 (4.1540)	Top-1 acc 22.656 (26.204)	Top-5 acc 46.094 (49.629)	lr 0.00089
Warmup Train [37][1270/2134]	Time 0.645 (0.638)	Data 0.002 (0.018)	Loss 3.9306 (4.1537)	Top-1 acc 30.078 (26.210)	Top-5 acc 53.125 (49.633)	lr 0.00089
Warmup Train [37][1280/2134]	Time 0.807 (0.638)	Data 0.002 (0.018)	Loss 4.0322 (4.1536)	Top-1 acc 26.172 (26.197)	Top-5 acc 52.344 (49.639)	lr 0.00089
Warmup Train [37][1290/2134]	Time 0.531 (0.638)	Data 0.002 (0.018)	Loss 4.2729 (4.1537)	Top-1 acc 23.047 (26.194)	Top-5 acc 47.656 (49.639)	lr 0.00088
Warmup Train [37][1300/2134]	Time 0.586 (0.638)	Data 0.002 (0.018)	Loss 4.2323 (4.1536)	Top-1 acc 27.344 (26.203)	Top-5 acc 47.266 (49.642)	lr 0.00088
Warmup Train [37][1310/2134]	Time 0.521 (0.637)	Data 0.002 (0.017)	Loss 4.0736 (4.1534)	Top-1 acc 25.781 (26.206)	Top-5 acc 57.031 (49.656)	lr 0.00088
Warmup Train [37][1320/2134]	Time 0.495 (0.637)	Data 0.002 (0.017)	Loss 4.0683 (4.1530)	Top-1 acc 28.516 (26.215)	Top-5 acc 51.562 (49.658)	lr 0.00088
Warmup Train [37][1330/2134]	Time 0.591 (0.637)	Data 0.002 (0.017)	Loss 4.0229 (4.1531)	Top-1 acc 29.297 (26.213)	Top-5 acc 54.297 (49.660)	lr 0.00087
Warmup Train [37][1340/2134]	Time 0.537 (0.637)	Data 0.004 (0.017)	Loss 3.9810 (4.1530)	Top-1 acc 25.781 (26.214)	Top-5 acc 53.125 (49.664)	lr 0.00087
Warmup Train [37][1350/2134]	Time 0.585 (0.637)	Data 0.002 (0.017)	Loss 4.4876 (4.1529)	Top-1 acc 21.094 (26.221)	Top-5 acc 40.625 (49.660)	lr 0.00087
Warmup Train [37][1360/2134]	Time 0.494 (0.637)	Data 0.002 (0.017)	Loss 4.0724 (4.1527)	Top-1 acc 31.250 (26.242)	Top-5 acc 50.781 (49.665)	lr 0.00087
Warmup Train [37][1370/2134]	Time 0.630 (0.637)	Data 0.002 (0.017)	Loss 4.1283 (4.1525)	Top-1 acc 29.688 (26.251)	Top-5 acc 50.781 (49.666)	lr 0.00086
Warmup Train [37][1380/2134]	Time 0.657 (0.636)	Data 0.002 (0.017)	Loss 4.2738 (4.1523)	Top-1 acc 22.266 (26.250)	Top-5 acc 50.781 (49.672)	lr 0.00086
Warmup Train [37][1390/2134]	Time 0.488 (0.636)	Data 0.003 (0.017)	Loss 4.1105 (4.1521)	Top-1 acc 27.734 (26.263)	Top-5 acc 53.125 (49.681)	lr 0.00086
Warmup Train [37][1400/2134]	Time 0.705 (0.636)	Data 0.003 (0.017)	Loss 3.9937 (4.1516)	Top-1 acc 32.031 (26.271)	Top-5 acc 53.125 (49.691)	lr 0.00086
Warmup Train [37][1410/2134]	Time 0.617 (0.636)	Data 0.003 (0.017)	Loss 4.1120 (4.1514)	Top-1 acc 23.438 (26.273)	Top-5 acc 50.000 (49.702)	lr 0.00086
Warmup Train [37][1420/2134]	Time 0.690 (0.636)	Data 0.002 (0.017)	Loss 4.0988 (4.1516)	Top-1 acc 28.906 (26.266)	Top-5 acc 51.172 (49.696)	lr 0.00085
Warmup Train [37][1430/2134]	Time 0.489 (0.636)	Data 0.003 (0.017)	Loss 3.9703 (4.1517)	Top-1 acc 25.781 (26.260)	Top-5 acc 51.953 (49.699)	lr 0.00085
Warmup Train [37][1440/2134]	Time 0.611 (0.635)	Data 0.002 (0.017)	Loss 4.1772 (4.1519)	Top-1 acc 23.828 (26.255)	Top-5 acc 50.781 (49.702)	lr 0.00085
Warmup Train [37][1450/2134]	Time 0.572 (0.635)	Data 0.002 (0.017)	Loss 4.2853 (4.1519)	Top-1 acc 25.781 (26.262)	Top-5 acc 44.922 (49.700)	lr 0.00085
Warmup Train [37][1460/2134]	Time 4.065 (0.638)	Data 0.002 (0.017)	Loss 4.2053 (4.1518)	Top-1 acc 27.734 (26.259)	Top-5 acc 50.391 (49.699)	lr 0.00084
Warmup Train [37][1470/2134]	Time 0.723 (0.638)	Data 0.002 (0.017)	Loss 4.2571 (4.1521)	Top-1 acc 26.172 (26.260)	Top-5 acc 51.172 (49.700)	lr 0.00084
Warmup Train [37][1480/2134]	Time 0.673 (0.637)	Data 0.003 (0.016)	Loss 4.0782 (4.1517)	Top-1 acc 25.781 (26.262)	Top-5 acc 49.219 (49.703)	lr 0.00084
Warmup Train [37][1490/2134]	Time 0.442 (0.637)	Data 0.002 (0.016)	Loss 4.1035 (4.1513)	Top-1 acc 29.297 (26.264)	Top-5 acc 51.172 (49.715)	lr 0.00084
Warmup Train [37][1500/2134]	Time 0.800 (0.637)	Data 0.002 (0.016)	Loss 3.9817 (4.1516)	Top-1 acc 29.297 (26.256)	Top-5 acc 51.172 (49.710)	lr 0.00083
Warmup Train [37][1510/2134]	Time 0.623 (0.637)	Data 0.002 (0.016)	Loss 4.0996 (4.1513)	Top-1 acc 27.734 (26.261)	Top-5 acc 48.828 (49.716)	lr 0.00083
Warmup Train [37][1520/2134]	Time 0.589 (0.636)	Data 0.002 (0.016)	Loss 4.0804 (4.1515)	Top-1 acc 26.172 (26.260)	Top-5 acc 48.828 (49.706)	lr 0.00083
Warmup Train [37][1530/2134]	Time 0.572 (0.636)	Data 0.002 (0.016)	Loss 4.1373 (4.1517)	Top-1 acc 27.734 (26.254)	Top-5 acc 51.562 (49.709)	lr 0.00083
Warmup Train [37][1540/2134]	Time 0.599 (0.636)	Data 0.002 (0.016)	Loss 4.1028 (4.1518)	Top-1 acc 23.438 (26.253)	Top-5 acc 49.219 (49.705)	lr 0.00082
Warmup Train [37][1550/2134]	Time 0.717 (0.636)	Data 0.002 (0.016)	Loss 4.1680 (4.1519)	Top-1 acc 27.734 (26.256)	Top-5 acc 50.000 (49.706)	lr 0.00082
Warmup Train [37][1560/2134]	Time 0.692 (0.636)	Data 0.002 (0.016)	Loss 3.8673 (4.1515)	Top-1 acc 29.688 (26.253)	Top-5 acc 56.641 (49.712)	lr 0.00082
Warmup Train [37][1570/2134]	Time 0.477 (0.635)	Data 0.002 (0.016)	Loss 4.2532 (4.1515)	Top-1 acc 21.875 (26.250)	Top-5 acc 44.531 (49.711)	lr 0.00082
Warmup Train [37][1580/2134]	Time 0.664 (0.635)	Data 0.002 (0.016)	Loss 3.9221 (4.1513)	Top-1 acc 33.203 (26.256)	Top-5 acc 55.469 (49.717)	lr 0.00081
Warmup Train [37][1590/2134]	Time 0.599 (0.635)	Data 0.003 (0.016)	Loss 4.1370 (4.1512)	Top-1 acc 23.438 (26.260)	Top-5 acc 48.438 (49.716)	lr 0.00081
Warmup Train [37][1600/2134]	Time 0.666 (0.635)	Data 0.002 (0.016)	Loss 4.4437 (4.1512)	Top-1 acc 19.531 (26.264)	Top-5 acc 44.141 (49.708)	lr 0.00081
Warmup Train [37][1610/2134]	Time 0.710 (0.635)	Data 0.002 (0.016)	Loss 4.0524 (4.1512)	Top-1 acc 27.344 (26.265)	Top-5 acc 51.562 (49.705)	lr 0.00081
Warmup Train [37][1620/2134]	Time 0.527 (0.634)	Data 0.002 (0.016)	Loss 4.2318 (4.1510)	Top-1 acc 25.000 (26.271)	Top-5 acc 45.703 (49.707)	lr 0.00081
Warmup Train [37][1630/2134]	Time 0.598 (0.634)	Data 0.002 (0.016)	Loss 4.1596 (4.1507)	Top-1 acc 27.344 (26.278)	Top-5 acc 49.609 (49.715)	lr 0.00080
Warmup Train [37][1640/2134]	Time 0.632 (0.634)	Data 0.002 (0.016)	Loss 3.9981 (4.1502)	Top-1 acc 26.953 (26.294)	Top-5 acc 54.297 (49.732)	lr 0.00080
Warmup Train [37][1650/2134]	Time 0.568 (0.634)	Data 0.002 (0.015)	Loss 4.1900 (4.1501)	Top-1 acc 25.000 (26.298)	Top-5 acc 51.562 (49.735)	lr 0.00080
Warmup Train [37][1660/2134]	Time 0.591 (0.634)	Data 0.002 (0.015)	Loss 4.2299 (4.1502)	Top-1 acc 26.562 (26.296)	Top-5 acc 48.047 (49.738)	lr 0.00080
Warmup Train [37][1670/2134]	Time 0.721 (0.634)	Data 0.002 (0.015)	Loss 3.9800 (4.1503)	Top-1 acc 27.734 (26.291)	Top-5 acc 55.078 (49.736)	lr 0.00079
Warmup Train [37][1680/2134]	Time 0.611 (0.634)	Data 0.003 (0.015)	Loss 4.2265 (4.1503)	Top-1 acc 25.781 (26.286)	Top-5 acc 48.828 (49.740)	lr 0.00079
Warmup Train [37][1690/2134]	Time 0.715 (0.634)	Data 0.002 (0.015)	Loss 3.9642 (4.1505)	Top-1 acc 32.031 (26.285)	Top-5 acc 52.734 (49.733)	lr 0.00079
Warmup Train [37][1700/2134]	Time 0.502 (0.633)	Data 0.003 (0.015)	Loss 4.2554 (4.1502)	Top-1 acc 22.266 (26.287)	Top-5 acc 49.609 (49.750)	lr 0.00079
Warmup Train [37][1710/2134]	Time 0.530 (0.633)	Data 0.002 (0.015)	Loss 4.1249 (4.1503)	Top-1 acc 30.859 (26.285)	Top-5 acc 51.562 (49.745)	lr 0.00078
Warmup Train [37][1720/2134]	Time 0.651 (0.633)	Data 0.002 (0.015)	Loss 4.1392 (4.1501)	Top-1 acc 26.953 (26.291)	Top-5 acc 49.609 (49.748)	lr 0.00078
Warmup Train [37][1730/2134]	Time 0.579 (0.633)	Data 0.002 (0.015)	Loss 4.3480 (4.1503)	Top-1 acc 24.609 (26.287)	Top-5 acc 45.312 (49.740)	lr 0.00078
Warmup Train [37][1740/2134]	Time 0.531 (0.633)	Data 0.002 (0.015)	Loss 4.2174 (4.1501)	Top-1 acc 25.000 (26.292)	Top-5 acc 49.609 (49.748)	lr 0.00078
Warmup Train [37][1750/2134]	Time 0.340 (0.633)	Data 0.002 (0.015)	Loss 4.1289 (4.1503)	Top-1 acc 32.422 (26.284)	Top-5 acc 50.391 (49.743)	lr 0.00078
Warmup Train [37][1760/2134]	Time 0.593 (0.632)	Data 0.002 (0.015)	Loss 3.9757 (4.1504)	Top-1 acc 29.688 (26.285)	Top-5 acc 56.250 (49.745)	lr 0.00077
Warmup Train [37][1770/2134]	Time 0.753 (0.632)	Data 0.002 (0.015)	Loss 4.1552 (4.1505)	Top-1 acc 21.484 (26.272)	Top-5 acc 50.391 (49.742)	lr 0.00077
Warmup Train [37][1780/2134]	Time 0.439 (0.632)	Data 0.002 (0.015)	Loss 4.3294 (4.1503)	Top-1 acc 22.266 (26.277)	Top-5 acc 45.312 (49.752)	lr 0.00077
Warmup Train [37][1790/2134]	Time 0.508 (0.632)	Data 0.002 (0.015)	Loss 4.1573 (4.1502)	Top-1 acc 27.734 (26.284)	Top-5 acc 48.828 (49.753)	lr 0.00077
Warmup Train [37][1800/2134]	Time 0.532 (0.632)	Data 0.002 (0.015)	Loss 4.1252 (4.1502)	Top-1 acc 25.781 (26.278)	Top-5 acc 49.609 (49.751)	lr 0.00076
Warmup Train [37][1810/2134]	Time 0.649 (0.632)	Data 0.002 (0.015)	Loss 4.2903 (4.1502)	Top-1 acc 23.438 (26.276)	Top-5 acc 48.047 (49.749)	lr 0.00076
Warmup Train [37][1820/2134]	Time 0.686 (0.633)	Data 0.002 (0.015)	Loss 4.1928 (4.1502)	Top-1 acc 23.828 (26.270)	Top-5 acc 49.219 (49.745)	lr 0.00076
Warmup Train [37][1830/2134]	Time 0.697 (0.633)	Data 0.002 (0.015)	Loss 4.0991 (4.1503)	Top-1 acc 27.734 (26.269)	Top-5 acc 50.781 (49.749)	lr 0.00076
Warmup Train [37][1840/2134]	Time 0.454 (0.633)	Data 0.003 (0.015)	Loss 4.1276 (4.1498)	Top-1 acc 26.562 (26.278)	Top-5 acc 47.656 (49.760)	lr 0.00076
Warmup Train [37][1850/2134]	Time 0.446 (0.633)	Data 0.003 (0.015)	Loss 4.2224 (4.1500)	Top-1 acc 22.656 (26.269)	Top-5 acc 48.828 (49.754)	lr 0.00075
Warmup Train [37][1860/2134]	Time 0.729 (0.633)	Data 0.003 (0.015)	Loss 4.0508 (4.1500)	Top-1 acc 28.516 (26.264)	Top-5 acc 48.438 (49.745)	lr 0.00075
Warmup Train [37][1870/2134]	Time 0.752 (0.633)	Data 0.004 (0.015)	Loss 4.1760 (4.1502)	Top-1 acc 29.688 (26.263)	Top-5 acc 47.266 (49.743)	lr 0.00075
Warmup Train [37][1880/2134]	Time 0.664 (0.633)	Data 0.002 (0.015)	Loss 4.1316 (4.1499)	Top-1 acc 25.781 (26.267)	Top-5 acc 48.438 (49.751)	lr 0.00075
Warmup Train [37][1890/2134]	Time 0.638 (0.633)	Data 0.003 (0.015)	Loss 4.0735 (4.1500)	Top-1 acc 28.906 (26.262)	Top-5 acc 51.953 (49.742)	lr 0.00074
Warmup Train [37][1900/2134]	Time 0.442 (0.633)	Data 0.002 (0.015)	Loss 4.1450 (4.1499)	Top-1 acc 27.734 (26.262)	Top-5 acc 53.906 (49.745)	lr 0.00074
Warmup Train [37][1910/2134]	Time 0.772 (0.632)	Data 0.002 (0.015)	Loss 4.3032 (4.1501)	Top-1 acc 22.266 (26.259)	Top-5 acc 46.875 (49.740)	lr 0.00074
Warmup Train [37][1920/2134]	Time 0.827 (0.632)	Data 0.002 (0.015)	Loss 3.9359 (4.1497)	Top-1 acc 28.906 (26.264)	Top-5 acc 52.344 (49.745)	lr 0.00074
Warmup Train [37][1930/2134]	Time 0.581 (0.632)	Data 0.002 (0.014)	Loss 4.1205 (4.1498)	Top-1 acc 28.906 (26.261)	Top-5 acc 48.828 (49.742)	lr 0.00074
Warmup Train [37][1940/2134]	Time 0.409 (0.632)	Data 0.003 (0.014)	Loss 4.2927 (4.1495)	Top-1 acc 24.219 (26.267)	Top-5 acc 48.047 (49.751)	lr 0.00073
Warmup Train [37][1950/2134]	Time 0.694 (0.632)	Data 0.002 (0.014)	Loss 4.1322 (4.1494)	Top-1 acc 24.609 (26.271)	Top-5 acc 50.000 (49.752)	lr 0.00073
Warmup Train [37][1960/2134]	Time 0.614 (0.632)	Data 0.002 (0.014)	Loss 4.2217 (4.1493)	Top-1 acc 25.781 (26.273)	Top-5 acc 51.562 (49.758)	lr 0.00073
Warmup Train [37][1970/2134]	Time 0.776 (0.631)	Data 0.002 (0.014)	Loss 4.2664 (4.1492)	Top-1 acc 25.391 (26.276)	Top-5 acc 45.312 (49.764)	lr 0.00073
Warmup Train [37][1980/2134]	Time 0.514 (0.631)	Data 0.002 (0.014)	Loss 4.3036 (4.1493)	Top-1 acc 24.219 (26.273)	Top-5 acc 40.234 (49.754)	lr 0.00072
Warmup Train [37][1990/2134]	Time 0.765 (0.631)	Data 0.003 (0.014)	Loss 4.1856 (4.1496)	Top-1 acc 24.219 (26.264)	Top-5 acc 47.656 (49.745)	lr 0.00072
Warmup Train [37][2000/2134]	Time 0.740 (0.631)	Data 0.002 (0.014)	Loss 4.3054 (4.1495)	Top-1 acc 17.578 (26.262)	Top-5 acc 47.266 (49.754)	lr 0.00072
Warmup Train [37][2010/2134]	Time 0.433 (0.631)	Data 0.002 (0.014)	Loss 3.9755 (4.1497)	Top-1 acc 26.172 (26.255)	Top-5 acc 52.344 (49.749)	lr 0.00072
Warmup Train [37][2020/2134]	Time 0.604 (0.631)	Data 0.002 (0.014)	Loss 4.1635 (4.1497)	Top-1 acc 28.516 (26.256)	Top-5 acc 51.953 (49.755)	lr 0.00072
Warmup Train [37][2030/2134]	Time 0.407 (0.630)	Data 0.002 (0.014)	Loss 4.1042 (4.1497)	Top-1 acc 26.562 (26.250)	Top-5 acc 53.125 (49.758)	lr 0.00071
Warmup Train [37][2040/2134]	Time 0.716 (0.631)	Data 0.002 (0.014)	Loss 4.0150 (4.1499)	Top-1 acc 29.297 (26.250)	Top-5 acc 52.344 (49.754)	lr 0.00071
Warmup Train [37][2050/2134]	Time 0.610 (0.630)	Data 0.002 (0.014)	Loss 4.2522 (4.1497)	Top-1 acc 25.781 (26.257)	Top-5 acc 45.703 (49.759)	lr 0.00071
Warmup Train [37][2060/2134]	Time 0.631 (0.630)	Data 0.002 (0.014)	Loss 4.0653 (4.1495)	Top-1 acc 28.125 (26.261)	Top-5 acc 55.078 (49.758)	lr 0.00071
Warmup Train [37][2070/2134]	Time 0.516 (0.630)	Data 0.002 (0.014)	Loss 4.2680 (4.1497)	Top-1 acc 25.391 (26.257)	Top-5 acc 44.531 (49.750)	lr 0.00070
Warmup Train [37][2080/2134]	Time 0.401 (0.630)	Data 0.000 (0.014)	Loss 4.0616 (4.1494)	Top-1 acc 26.562 (26.259)	Top-5 acc 53.125 (49.759)	lr 0.00070
Warmup Train [37][2090/2134]	Time 0.584 (0.630)	Data 0.000 (0.014)	Loss 4.2591 (4.1496)	Top-1 acc 27.734 (26.254)	Top-5 acc 54.297 (49.751)	lr 0.00070
Warmup Train [37][2100/2134]	Time 0.599 (0.629)	Data 0.000 (0.014)	Loss 4.1160 (4.1495)	Top-1 acc 26.172 (26.253)	Top-5 acc 51.953 (49.754)	lr 0.00070
Warmup Train [37][2110/2134]	Time 0.765 (0.629)	Data 0.000 (0.014)	Loss 4.1324 (4.1493)	Top-1 acc 28.516 (26.262)	Top-5 acc 50.000 (49.759)	lr 0.00070
Warmup Train [37][2120/2134]	Time 0.701 (0.629)	Data 0.000 (0.014)	Loss 4.2421 (4.1492)	Top-1 acc 26.953 (26.259)	Top-5 acc 46.094 (49.760)	lr 0.00069
Warmup Train [37][2130/2134]	Time 0.713 (0.629)	Data 0.000 (0.014)	Loss 4.2250 (4.1492)	Top-1 acc 25.391 (26.262)	Top-5 acc 50.000 (49.764)	lr 0.00069
Warmup Train [37][2134/2134]	Time 0.415 (0.629)	Data 0.000 (0.014)	Loss 4.2517 (4.1493)	Top-1 acc 18.717 (26.258)	Top-5 acc 49.733 (49.762)	lr 0.00069
==========Warmup Valid [37/40]	loss 3.158	top-1 acc 33.523	top-5 acc 59.126	Train top-1 26.258	top-5 49.762	flops: 442.4M
Warmup Train [38][0/2134]	Time 18.577 (18.577)	Data 16.148 (16.148)	Loss 4.1296 (4.1296)	Top-1 acc 28.906 (28.906)	Top-5 acc 50.781 (50.781)	lr 0.00069
Warmup Train [38][10/2134]	Time 0.719 (2.543)	Data 0.002 (1.656)	Loss 4.0581 (4.0918)	Top-1 acc 30.859 (27.770)	Top-5 acc 50.391 (50.533)	lr 0.00069
Warmup Train [38][20/2134]	Time 0.387 (1.862)	Data 0.002 (0.869)	Loss 4.1533 (4.1207)	Top-1 acc 30.078 (27.139)	Top-5 acc 48.828 (50.000)	lr 0.00069
Warmup Train [38][30/2134]	Time 0.618 (1.469)	Data 0.002 (0.593)	Loss 4.2899 (4.1169)	Top-1 acc 27.344 (27.016)	Top-5 acc 46.094 (50.227)	lr 0.00068
Warmup Train [38][40/2134]	Time 0.543 (1.250)	Data 0.003 (0.449)	Loss 4.0350 (4.1114)	Top-1 acc 28.906 (27.401)	Top-5 acc 52.734 (50.429)	lr 0.00068
Warmup Train [38][50/2134]	Time 0.502 (1.123)	Data 0.002 (0.364)	Loss 4.1494 (4.1346)	Top-1 acc 26.953 (26.693)	Top-5 acc 51.172 (50.153)	lr 0.00068
Warmup Train [38][60/2134]	Time 0.571 (1.031)	Data 0.003 (0.307)	Loss 4.1233 (4.1437)	Top-1 acc 25.391 (26.601)	Top-5 acc 50.781 (49.936)	lr 0.00068
Warmup Train [38][70/2134]	Time 0.656 (0.976)	Data 0.004 (0.266)	Loss 4.0007 (4.1455)	Top-1 acc 27.344 (26.607)	Top-5 acc 51.953 (50.000)	lr 0.00068
Warmup Train [38][80/2134]	Time 0.657 (0.932)	Data 0.002 (0.233)	Loss 4.3648 (4.1533)	Top-1 acc 22.266 (26.471)	Top-5 acc 44.922 (49.769)	lr 0.00067
Warmup Train [38][90/2134]	Time 0.599 (0.897)	Data 0.002 (0.208)	Loss 4.3555 (4.1554)	Top-1 acc 23.828 (26.537)	Top-5 acc 43.750 (49.687)	lr 0.00067
Warmup Train [38][100/2134]	Time 0.735 (0.870)	Data 0.003 (0.188)	Loss 4.3380 (4.1545)	Top-1 acc 26.562 (26.504)	Top-5 acc 46.094 (49.687)	lr 0.00067
Warmup Train [38][110/2134]	Time 0.624 (0.848)	Data 0.002 (0.171)	Loss 4.3663 (4.1515)	Top-1 acc 26.172 (26.559)	Top-5 acc 43.750 (49.835)	lr 0.00067
Warmup Train [38][120/2134]	Time 0.559 (0.829)	Data 0.003 (0.157)	Loss 4.0584 (4.1492)	Top-1 acc 28.906 (26.630)	Top-5 acc 50.781 (49.968)	lr 0.00067
Warmup Train [38][130/2134]	Time 0.731 (0.814)	Data 0.002 (0.146)	Loss 3.9844 (4.1444)	Top-1 acc 30.469 (26.646)	Top-5 acc 53.125 (49.994)	lr 0.00066
Warmup Train [38][140/2134]	Time 0.462 (0.799)	Data 0.003 (0.136)	Loss 4.2215 (4.1468)	Top-1 acc 23.828 (26.629)	Top-5 acc 50.000 (49.900)	lr 0.00066
Warmup Train [38][150/2134]	Time 0.635 (0.788)	Data 0.002 (0.128)	Loss 4.1220 (4.1438)	Top-1 acc 25.391 (26.728)	Top-5 acc 50.391 (50.018)	lr 0.00066
Warmup Train [38][160/2134]	Time 0.503 (0.777)	Data 0.002 (0.121)	Loss 4.1101 (4.1439)	Top-1 acc 28.906 (26.713)	Top-5 acc 54.688 (50.058)	lr 0.00066
Warmup Train [38][170/2134]	Time 0.586 (0.767)	Data 0.003 (0.115)	Loss 4.1208 (4.1436)	Top-1 acc 25.781 (26.704)	Top-5 acc 46.484 (50.039)	lr 0.00065
Warmup Train [38][180/2134]	Time 0.465 (0.758)	Data 0.002 (0.108)	Loss 4.1983 (4.1467)	Top-1 acc 23.047 (26.647)	Top-5 acc 49.219 (49.970)	lr 0.00065
Warmup Train [38][190/2134]	Time 0.631 (0.751)	Data 0.002 (0.103)	Loss 4.3739 (4.1472)	Top-1 acc 25.000 (26.622)	Top-5 acc 46.484 (49.955)	lr 0.00065
Warmup Train [38][200/2134]	Time 0.628 (0.744)	Data 0.002 (0.099)	Loss 3.9858 (4.1465)	Top-1 acc 30.078 (26.644)	Top-5 acc 52.344 (49.924)	lr 0.00065
Warmup Train [38][210/2134]	Time 0.457 (0.737)	Data 0.002 (0.094)	Loss 4.1713 (4.1464)	Top-1 acc 30.078 (26.707)	Top-5 acc 51.953 (49.970)	lr 0.00065
Warmup Train [38][220/2134]	Time 0.679 (0.730)	Data 0.002 (0.091)	Loss 4.1491 (4.1481)	Top-1 acc 23.828 (26.653)	Top-5 acc 46.094 (49.871)	lr 0.00064
Warmup Train [38][230/2134]	Time 0.596 (0.725)	Data 0.002 (0.087)	Loss 4.1290 (4.1480)	Top-1 acc 28.125 (26.684)	Top-5 acc 49.609 (49.897)	lr 0.00064
Warmup Train [38][240/2134]	Time 0.623 (0.721)	Data 0.003 (0.084)	Loss 4.0418 (4.1452)	Top-1 acc 28.516 (26.765)	Top-5 acc 53.906 (49.961)	lr 0.00064
Warmup Train [38][250/2134]	Time 0.506 (0.715)	Data 0.002 (0.081)	Loss 3.9986 (4.1468)	Top-1 acc 31.250 (26.743)	Top-5 acc 55.078 (49.952)	lr 0.00064
Warmup Train [38][260/2134]	Time 0.529 (0.711)	Data 0.002 (0.078)	Loss 4.0964 (4.1467)	Top-1 acc 23.047 (26.745)	Top-5 acc 53.125 (49.951)	lr 0.00064
Warmup Train [38][270/2134]	Time 0.778 (0.708)	Data 0.002 (0.076)	Loss 4.2478 (4.1471)	Top-1 acc 26.172 (26.728)	Top-5 acc 45.312 (49.937)	lr 0.00063
Warmup Train [38][280/2134]	Time 0.572 (0.705)	Data 0.004 (0.073)	Loss 4.1404 (4.1442)	Top-1 acc 25.781 (26.796)	Top-5 acc 53.125 (49.962)	lr 0.00063
Warmup Train [38][290/2134]	Time 0.763 (0.702)	Data 0.002 (0.071)	Loss 4.4091 (4.1455)	Top-1 acc 21.094 (26.777)	Top-5 acc 43.359 (49.932)	lr 0.00063
Warmup Train [38][300/2134]	Time 0.644 (0.699)	Data 0.002 (0.069)	Loss 4.0976 (4.1463)	Top-1 acc 24.609 (26.778)	Top-5 acc 52.344 (49.895)	lr 0.00063
Warmup Train [38][310/2134]	Time 0.479 (0.696)	Data 0.002 (0.067)	Loss 4.2394 (4.1454)	Top-1 acc 22.266 (26.829)	Top-5 acc 49.219 (49.902)	lr 0.00063
Warmup Train [38][320/2134]	Time 0.569 (0.693)	Data 0.002 (0.065)	Loss 4.1688 (4.1452)	Top-1 acc 25.000 (26.803)	Top-5 acc 50.781 (49.922)	lr 0.00062
Warmup Train [38][330/2134]	Time 0.756 (0.690)	Data 0.003 (0.064)	Loss 4.2017 (4.1463)	Top-1 acc 26.953 (26.777)	Top-5 acc 51.562 (49.890)	lr 0.00062
Warmup Train [38][340/2134]	Time 0.633 (0.687)	Data 0.002 (0.062)	Loss 4.2146 (4.1464)	Top-1 acc 28.125 (26.780)	Top-5 acc 50.000 (49.916)	lr 0.00062
Warmup Train [38][350/2134]	Time 0.769 (0.685)	Data 0.002 (0.061)	Loss 4.0501 (4.1467)	Top-1 acc 23.438 (26.716)	Top-5 acc 52.734 (49.938)	lr 0.00062
Warmup Train [38][360/2134]	Time 0.638 (0.683)	Data 0.002 (0.059)	Loss 4.3889 (4.1494)	Top-1 acc 20.312 (26.652)	Top-5 acc 45.312 (49.885)	lr 0.00062
Warmup Train [38][370/2134]	Time 0.399 (0.680)	Data 0.004 (0.058)	Loss 4.3324 (4.1495)	Top-1 acc 23.047 (26.632)	Top-5 acc 46.094 (49.863)	lr 0.00061
Warmup Train [38][380/2134]	Time 0.780 (0.691)	Data 0.002 (0.057)	Loss 4.2304 (4.1495)	Top-1 acc 28.125 (26.618)	Top-5 acc 49.609 (49.875)	lr 0.00061
Warmup Train [38][390/2134]	Time 0.590 (0.688)	Data 0.002 (0.055)	Loss 4.0919 (4.1499)	Top-1 acc 24.219 (26.596)	Top-5 acc 52.344 (49.864)	lr 0.00061
Warmup Train [38][400/2134]	Time 0.532 (0.686)	Data 0.004 (0.054)	Loss 4.1510 (4.1490)	Top-1 acc 24.219 (26.616)	Top-5 acc 48.047 (49.870)	lr 0.00061
Warmup Train [38][410/2134]	Time 0.641 (0.684)	Data 0.002 (0.053)	Loss 3.9392 (4.1496)	Top-1 acc 28.516 (26.595)	Top-5 acc 53.516 (49.865)	lr 0.00061
Warmup Train [38][420/2134]	Time 0.562 (0.683)	Data 0.002 (0.052)	Loss 4.1761 (4.1496)	Top-1 acc 27.344 (26.617)	Top-5 acc 48.047 (49.870)	lr 0.00060
Warmup Train [38][430/2134]	Time 0.733 (0.681)	Data 0.002 (0.051)	Loss 4.0022 (4.1500)	Top-1 acc 32.031 (26.618)	Top-5 acc 53.125 (49.845)	lr 0.00060
Warmup Train [38][440/2134]	Time 0.559 (0.680)	Data 0.002 (0.050)	Loss 3.9474 (4.1498)	Top-1 acc 30.859 (26.606)	Top-5 acc 54.688 (49.859)	lr 0.00060
Warmup Train [38][450/2134]	Time 0.620 (0.678)	Data 0.002 (0.049)	Loss 4.3004 (4.1496)	Top-1 acc 26.172 (26.592)	Top-5 acc 43.359 (49.880)	lr 0.00060
Warmup Train [38][460/2134]	Time 0.715 (0.677)	Data 0.002 (0.048)	Loss 4.0563 (4.1495)	Top-1 acc 28.125 (26.600)	Top-5 acc 54.297 (49.880)	lr 0.00060
Warmup Train [38][470/2134]	Time 0.720 (0.675)	Data 0.002 (0.048)	Loss 4.2632 (4.1496)	Top-1 acc 28.125 (26.619)	Top-5 acc 46.484 (49.859)	lr 0.00059
Warmup Train [38][480/2134]	Time 0.622 (0.675)	Data 0.029 (0.047)	Loss 4.1312 (4.1500)	Top-1 acc 24.219 (26.588)	Top-5 acc 48.438 (49.833)	lr 0.00059
Warmup Train [38][490/2134]	Time 0.668 (0.673)	Data 0.003 (0.046)	Loss 4.0104 (4.1497)	Top-1 acc 29.297 (26.595)	Top-5 acc 51.172 (49.836)	lr 0.00059
Warmup Train [38][500/2134]	Time 0.533 (0.672)	Data 0.003 (0.045)	Loss 4.1397 (4.1499)	Top-1 acc 24.609 (26.587)	Top-5 acc 46.875 (49.835)	lr 0.00059
Warmup Train [38][510/2134]	Time 0.569 (0.671)	Data 0.002 (0.044)	Loss 4.3284 (4.1492)	Top-1 acc 26.562 (26.580)	Top-5 acc 42.578 (49.835)	lr 0.00059
Warmup Train [38][520/2134]	Time 0.489 (0.669)	Data 0.002 (0.044)	Loss 4.2826 (4.1495)	Top-1 acc 25.000 (26.564)	Top-5 acc 48.047 (49.833)	lr 0.00058
Warmup Train [38][530/2134]	Time 0.714 (0.669)	Data 0.002 (0.043)	Loss 4.1621 (4.1482)	Top-1 acc 28.516 (26.582)	Top-5 acc 48.047 (49.851)	lr 0.00058
Warmup Train [38][540/2134]	Time 0.482 (0.667)	Data 0.004 (0.042)	Loss 4.0498 (4.1474)	Top-1 acc 28.906 (26.583)	Top-5 acc 52.734 (49.862)	lr 0.00058
Warmup Train [38][550/2134]	Time 0.592 (0.667)	Data 0.002 (0.042)	Loss 4.1597 (4.1474)	Top-1 acc 23.438 (26.583)	Top-5 acc 48.047 (49.858)	lr 0.00058
Warmup Train [38][560/2134]	Time 0.650 (0.666)	Data 0.002 (0.041)	Loss 3.9249 (4.1461)	Top-1 acc 28.906 (26.603)	Top-5 acc 53.906 (49.882)	lr 0.00058
Warmup Train [38][570/2134]	Time 0.617 (0.665)	Data 0.003 (0.041)	Loss 4.1382 (4.1466)	Top-1 acc 23.047 (26.587)	Top-5 acc 49.219 (49.869)	lr 0.00057
Warmup Train [38][580/2134]	Time 0.617 (0.664)	Data 0.002 (0.040)	Loss 4.1129 (4.1465)	Top-1 acc 27.734 (26.584)	Top-5 acc 54.297 (49.882)	lr 0.00057
Warmup Train [38][590/2134]	Time 0.724 (0.663)	Data 0.003 (0.040)	Loss 4.2572 (4.1474)	Top-1 acc 25.391 (26.566)	Top-5 acc 46.484 (49.875)	lr 0.00057
Warmup Train [38][600/2134]	Time 0.599 (0.662)	Data 0.002 (0.039)	Loss 4.0864 (4.1481)	Top-1 acc 28.906 (26.549)	Top-5 acc 50.000 (49.874)	lr 0.00057
Warmup Train [38][610/2134]	Time 0.435 (0.661)	Data 0.002 (0.039)	Loss 3.9665 (4.1479)	Top-1 acc 30.078 (26.534)	Top-5 acc 54.688 (49.878)	lr 0.00057
Warmup Train [38][620/2134]	Time 0.716 (0.660)	Data 0.002 (0.038)	Loss 3.8892 (4.1470)	Top-1 acc 31.250 (26.535)	Top-5 acc 55.469 (49.901)	lr 0.00056
Warmup Train [38][630/2134]	Time 0.732 (0.659)	Data 0.003 (0.038)	Loss 4.1869 (4.1471)	Top-1 acc 25.781 (26.540)	Top-5 acc 50.781 (49.908)	lr 0.00056
Warmup Train [38][640/2134]	Time 0.638 (0.658)	Data 0.003 (0.037)	Loss 4.2501 (4.1472)	Top-1 acc 26.562 (26.533)	Top-5 acc 47.266 (49.897)	lr 0.00056
Warmup Train [38][650/2134]	Time 0.660 (0.658)	Data 0.003 (0.037)	Loss 4.2725 (4.1478)	Top-1 acc 19.922 (26.524)	Top-5 acc 47.266 (49.873)	lr 0.00056
Warmup Train [38][660/2134]	Time 0.630 (0.657)	Data 0.002 (0.036)	Loss 4.1580 (4.1478)	Top-1 acc 21.875 (26.499)	Top-5 acc 48.047 (49.860)	lr 0.00056
Warmup Train [38][670/2134]	Time 0.463 (0.656)	Data 0.002 (0.036)	Loss 3.8732 (4.1473)	Top-1 acc 33.203 (26.521)	Top-5 acc 57.422 (49.878)	lr 0.00055
Warmup Train [38][680/2134]	Time 0.615 (0.656)	Data 0.002 (0.035)	Loss 4.1076 (4.1471)	Top-1 acc 30.469 (26.529)	Top-5 acc 50.781 (49.882)	lr 0.00055
Warmup Train [38][690/2134]	Time 0.638 (0.655)	Data 0.002 (0.035)	Loss 4.1450 (4.1463)	Top-1 acc 25.000 (26.568)	Top-5 acc 49.219 (49.903)	lr 0.00055
Warmup Train [38][700/2134]	Time 0.534 (0.654)	Data 0.002 (0.034)	Loss 4.0064 (4.1467)	Top-1 acc 28.906 (26.555)	Top-5 acc 54.297 (49.911)	lr 0.00055
Warmup Train [38][710/2134]	Time 0.640 (0.654)	Data 0.003 (0.034)	Loss 4.1672 (4.1471)	Top-1 acc 25.391 (26.555)	Top-5 acc 49.219 (49.905)	lr 0.00055
Warmup Train [38][720/2134]	Time 0.594 (0.653)	Data 0.002 (0.034)	Loss 4.2523 (4.1464)	Top-1 acc 23.828 (26.565)	Top-5 acc 44.922 (49.913)	lr 0.00054
Warmup Train [38][730/2134]	Time 0.635 (0.657)	Data 0.003 (0.033)	Loss 4.0832 (4.1460)	Top-1 acc 25.781 (26.571)	Top-5 acc 50.000 (49.919)	lr 0.00054
Warmup Train [38][740/2134]	Time 0.427 (0.657)	Data 0.003 (0.033)	Loss 4.3036 (4.1460)	Top-1 acc 22.266 (26.572)	Top-5 acc 44.531 (49.922)	lr 0.00054
Warmup Train [38][750/2134]	Time 0.540 (0.656)	Data 0.003 (0.033)	Loss 4.1569 (4.1462)	Top-1 acc 26.172 (26.564)	Top-5 acc 50.000 (49.927)	lr 0.00054
Warmup Train [38][760/2134]	Time 0.632 (0.656)	Data 0.004 (0.033)	Loss 4.0578 (4.1464)	Top-1 acc 30.078 (26.565)	Top-5 acc 53.516 (49.925)	lr 0.00054
Warmup Train [38][770/2134]	Time 0.577 (0.655)	Data 0.003 (0.032)	Loss 4.1546 (4.1463)	Top-1 acc 24.609 (26.550)	Top-5 acc 49.219 (49.917)	lr 0.00054
Warmup Train [38][780/2134]	Time 0.733 (0.655)	Data 0.002 (0.032)	Loss 4.1236 (4.1460)	Top-1 acc 27.344 (26.568)	Top-5 acc 49.219 (49.926)	lr 0.00053
Warmup Train [38][790/2134]	Time 0.722 (0.654)	Data 0.002 (0.032)	Loss 4.0626 (4.1460)	Top-1 acc 28.906 (26.581)	Top-5 acc 52.344 (49.927)	lr 0.00053
Warmup Train [38][800/2134]	Time 0.579 (0.653)	Data 0.002 (0.031)	Loss 4.1934 (4.1453)	Top-1 acc 26.172 (26.593)	Top-5 acc 48.047 (49.936)	lr 0.00053
Warmup Train [38][810/2134]	Time 0.764 (0.653)	Data 0.003 (0.031)	Loss 4.1422 (4.1454)	Top-1 acc 22.656 (26.587)	Top-5 acc 48.828 (49.940)	lr 0.00053
Warmup Train [38][820/2134]	Time 0.482 (0.652)	Data 0.002 (0.031)	Loss 4.1293 (4.1451)	Top-1 acc 28.516 (26.583)	Top-5 acc 47.656 (49.951)	lr 0.00053
Warmup Train [38][830/2134]	Time 0.627 (0.652)	Data 0.002 (0.031)	Loss 4.0150 (4.1449)	Top-1 acc 28.906 (26.584)	Top-5 acc 54.297 (49.946)	lr 0.00052
Warmup Train [38][840/2134]	Time 0.517 (0.651)	Data 0.002 (0.030)	Loss 4.2753 (4.1452)	Top-1 acc 23.047 (26.592)	Top-5 acc 46.484 (49.960)	lr 0.00052
Warmup Train [38][850/2134]	Time 0.531 (0.650)	Data 0.002 (0.030)	Loss 4.0994 (4.1454)	Top-1 acc 24.609 (26.572)	Top-5 acc 50.000 (49.956)	lr 0.00052
Warmup Train [38][860/2134]	Time 0.771 (0.650)	Data 0.003 (0.030)	Loss 4.2622 (4.1449)	Top-1 acc 22.656 (26.587)	Top-5 acc 45.312 (49.957)	lr 0.00052
Warmup Train [38][870/2134]	Time 0.807 (0.649)	Data 0.002 (0.030)	Loss 4.2867 (4.1454)	Top-1 acc 24.219 (26.569)	Top-5 acc 48.438 (49.953)	lr 0.00052
Warmup Train [38][880/2134]	Time 0.640 (0.649)	Data 0.002 (0.029)	Loss 4.0091 (4.1456)	Top-1 acc 26.953 (26.572)	Top-5 acc 51.953 (49.938)	lr 0.00051
Warmup Train [38][890/2134]	Time 0.625 (0.649)	Data 0.025 (0.029)	Loss 4.1628 (4.1453)	Top-1 acc 24.219 (26.565)	Top-5 acc 48.438 (49.947)	lr 0.00051
Warmup Train [38][900/2134]	Time 0.540 (0.648)	Data 0.002 (0.029)	Loss 4.0832 (4.1445)	Top-1 acc 26.953 (26.581)	Top-5 acc 52.344 (49.969)	lr 0.00051
Warmup Train [38][910/2134]	Time 0.498 (0.648)	Data 0.002 (0.029)	Loss 4.2314 (4.1440)	Top-1 acc 24.219 (26.575)	Top-5 acc 50.391 (49.982)	lr 0.00051
Warmup Train [38][920/2134]	Time 0.763 (0.647)	Data 0.003 (0.028)	Loss 4.2518 (4.1442)	Top-1 acc 23.047 (26.558)	Top-5 acc 48.047 (49.980)	lr 0.00051
Warmup Train [38][930/2134]	Time 0.659 (0.647)	Data 0.002 (0.028)	Loss 4.0525 (4.1443)	Top-1 acc 25.391 (26.544)	Top-5 acc 50.391 (49.979)	lr 0.00051
Warmup Train [38][940/2134]	Time 0.558 (0.646)	Data 0.002 (0.028)	Loss 4.1664 (4.1444)	Top-1 acc 25.000 (26.544)	Top-5 acc 44.141 (49.963)	lr 0.00050
Warmup Train [38][950/2134]	Time 0.524 (0.646)	Data 0.002 (0.028)	Loss 4.2510 (4.1443)	Top-1 acc 23.828 (26.545)	Top-5 acc 45.703 (49.962)	lr 0.00050
Warmup Train [38][960/2134]	Time 0.794 (0.646)	Data 0.003 (0.028)	Loss 4.2096 (4.1440)	Top-1 acc 24.609 (26.561)	Top-5 acc 48.828 (49.968)	lr 0.00050
Warmup Train [38][970/2134]	Time 0.626 (0.646)	Data 0.003 (0.027)	Loss 4.0527 (4.1436)	Top-1 acc 26.172 (26.563)	Top-5 acc 51.562 (49.967)	lr 0.00050
Warmup Train [38][980/2134]	Time 0.718 (0.645)	Data 0.002 (0.027)	Loss 4.0732 (4.1431)	Top-1 acc 27.344 (26.562)	Top-5 acc 53.516 (49.980)	lr 0.00050
Warmup Train [38][990/2134]	Time 0.601 (0.645)	Data 0.002 (0.027)	Loss 4.1796 (4.1432)	Top-1 acc 24.609 (26.549)	Top-5 acc 48.828 (49.976)	lr 0.00049
Warmup Train [38][1000/2134]	Time 0.594 (0.644)	Data 0.003 (0.027)	Loss 4.2736 (4.1429)	Top-1 acc 21.875 (26.550)	Top-5 acc 46.094 (49.988)	lr 0.00049
Warmup Train [38][1010/2134]	Time 0.754 (0.644)	Data 0.002 (0.027)	Loss 4.0714 (4.1434)	Top-1 acc 28.906 (26.538)	Top-5 acc 52.344 (49.970)	lr 0.00049
Warmup Train [38][1020/2134]	Time 0.478 (0.644)	Data 0.002 (0.026)	Loss 4.1118 (4.1431)	Top-1 acc 26.562 (26.547)	Top-5 acc 50.000 (49.976)	lr 0.00049
Warmup Train [38][1030/2134]	Time 0.716 (0.643)	Data 0.002 (0.026)	Loss 4.1160 (4.1429)	Top-1 acc 26.562 (26.548)	Top-5 acc 47.656 (49.974)	lr 0.00049
Warmup Train [38][1040/2134]	Time 0.396 (0.643)	Data 0.002 (0.026)	Loss 4.5492 (4.1431)	Top-1 acc 14.062 (26.536)	Top-5 acc 38.281 (49.967)	lr 0.00049
Warmup Train [38][1050/2134]	Time 0.445 (0.642)	Data 0.002 (0.026)	Loss 4.1738 (4.1432)	Top-1 acc 28.125 (26.536)	Top-5 acc 49.609 (49.956)	lr 0.00048
Warmup Train [38][1060/2134]	Time 0.486 (0.642)	Data 0.002 (0.026)	Loss 4.2647 (4.1429)	Top-1 acc 24.219 (26.546)	Top-5 acc 46.094 (49.967)	lr 0.00048
Warmup Train [38][1070/2134]	Time 0.651 (0.642)	Data 0.002 (0.026)	Loss 4.1193 (4.1432)	Top-1 acc 26.562 (26.541)	Top-5 acc 51.172 (49.963)	lr 0.00048
Warmup Train [38][1080/2134]	Time 0.596 (0.641)	Data 0.002 (0.025)	Loss 4.2802 (4.1437)	Top-1 acc 21.875 (26.522)	Top-5 acc 44.531 (49.942)	lr 0.00048
Warmup Train [38][1090/2134]	Time 0.591 (0.644)	Data 0.002 (0.025)	Loss 3.8992 (4.1427)	Top-1 acc 30.859 (26.536)	Top-5 acc 53.906 (49.962)	lr 0.00048
Warmup Train [38][1100/2134]	Time 0.609 (0.644)	Data 0.002 (0.025)	Loss 4.1365 (4.1425)	Top-1 acc 26.562 (26.546)	Top-5 acc 51.562 (49.973)	lr 0.00047
Warmup Train [38][1110/2134]	Time 0.661 (0.644)	Data 0.002 (0.025)	Loss 4.1797 (4.1424)	Top-1 acc 25.391 (26.542)	Top-5 acc 47.656 (49.967)	lr 0.00047
Warmup Train [38][1120/2134]	Time 0.661 (0.643)	Data 0.002 (0.025)	Loss 4.2624 (4.1426)	Top-1 acc 17.578 (26.536)	Top-5 acc 48.047 (49.962)	lr 0.00047
Warmup Train [38][1130/2134]	Time 0.788 (0.643)	Data 0.002 (0.025)	Loss 4.2359 (4.1427)	Top-1 acc 23.047 (26.528)	Top-5 acc 47.656 (49.958)	lr 0.00047
Warmup Train [38][1140/2134]	Time 0.596 (0.643)	Data 0.002 (0.024)	Loss 4.0478 (4.1426)	Top-1 acc 27.734 (26.518)	Top-5 acc 49.609 (49.954)	lr 0.00047
Warmup Train [38][1150/2134]	Time 0.470 (0.642)	Data 0.002 (0.024)	Loss 4.1971 (4.1425)	Top-1 acc 26.953 (26.531)	Top-5 acc 48.438 (49.954)	lr 0.00047
Warmup Train [38][1160/2134]	Time 0.584 (0.642)	Data 0.002 (0.024)	Loss 4.1807 (4.1423)	Top-1 acc 28.516 (26.543)	Top-5 acc 51.953 (49.950)	lr 0.00046
Warmup Train [38][1170/2134]	Time 0.492 (0.641)	Data 0.002 (0.024)	Loss 4.1994 (4.1423)	Top-1 acc 25.000 (26.539)	Top-5 acc 48.828 (49.951)	lr 0.00046
Warmup Train [38][1180/2134]	Time 0.593 (0.641)	Data 0.002 (0.024)	Loss 4.1649 (4.1427)	Top-1 acc 27.344 (26.530)	Top-5 acc 50.781 (49.942)	lr 0.00046
Warmup Train [38][1190/2134]	Time 0.651 (0.641)	Data 0.003 (0.024)	Loss 4.1538 (4.1423)	Top-1 acc 25.391 (26.529)	Top-5 acc 44.531 (49.942)	lr 0.00046
Warmup Train [38][1200/2134]	Time 0.350 (0.641)	Data 0.002 (0.024)	Loss 4.2666 (4.1424)	Top-1 acc 26.953 (26.528)	Top-5 acc 51.953 (49.947)	lr 0.00046
Warmup Train [38][1210/2134]	Time 0.705 (0.640)	Data 0.002 (0.024)	Loss 4.1838 (4.1424)	Top-1 acc 24.609 (26.526)	Top-5 acc 50.000 (49.945)	lr 0.00046
Warmup Train [38][1220/2134]	Time 0.510 (0.640)	Data 0.002 (0.023)	Loss 4.0548 (4.1425)	Top-1 acc 28.516 (26.528)	Top-5 acc 51.172 (49.937)	lr 0.00045
Warmup Train [38][1230/2134]	Time 0.648 (0.640)	Data 0.002 (0.023)	Loss 4.1353 (4.1428)	Top-1 acc 29.297 (26.524)	Top-5 acc 48.438 (49.935)	lr 0.00045
Warmup Train [38][1240/2134]	Time 0.606 (0.639)	Data 0.002 (0.023)	Loss 4.4617 (4.1434)	Top-1 acc 23.828 (26.521)	Top-5 acc 42.969 (49.934)	lr 0.00045
Warmup Train [38][1250/2134]	Time 0.589 (0.639)	Data 0.002 (0.023)	Loss 4.0772 (4.1431)	Top-1 acc 28.125 (26.525)	Top-5 acc 52.734 (49.942)	lr 0.00045
Warmup Train [38][1260/2134]	Time 0.592 (0.639)	Data 0.002 (0.023)	Loss 3.9523 (4.1427)	Top-1 acc 29.297 (26.524)	Top-5 acc 54.297 (49.957)	lr 0.00045
Warmup Train [38][1270/2134]	Time 0.549 (0.639)	Data 0.002 (0.023)	Loss 4.1330 (4.1422)	Top-1 acc 23.438 (26.530)	Top-5 acc 49.219 (49.981)	lr 0.00044
Warmup Train [38][1280/2134]	Time 0.532 (0.638)	Data 0.003 (0.023)	Loss 4.2024 (4.1420)	Top-1 acc 23.828 (26.526)	Top-5 acc 47.656 (49.987)	lr 0.00044
Warmup Train [38][1290/2134]	Time 0.523 (0.638)	Data 0.002 (0.023)	Loss 4.1534 (4.1416)	Top-1 acc 26.172 (26.532)	Top-5 acc 49.609 (49.987)	lr 0.00044
Warmup Train [38][1300/2134]	Time 0.548 (0.638)	Data 0.003 (0.023)	Loss 4.0391 (4.1417)	Top-1 acc 33.203 (26.530)	Top-5 acc 52.344 (49.978)	lr 0.00044
Warmup Train [38][1310/2134]	Time 0.447 (0.638)	Data 0.002 (0.023)	Loss 4.2616 (4.1418)	Top-1 acc 24.609 (26.523)	Top-5 acc 49.609 (49.974)	lr 0.00044
Warmup Train [38][1320/2134]	Time 0.757 (0.638)	Data 0.002 (0.022)	Loss 4.3646 (4.1419)	Top-1 acc 24.609 (26.519)	Top-5 acc 44.531 (49.972)	lr 0.00044
Warmup Train [38][1330/2134]	Time 0.631 (0.637)	Data 0.002 (0.022)	Loss 4.0543 (4.1421)	Top-1 acc 26.172 (26.513)	Top-5 acc 53.516 (49.966)	lr 0.00043
Warmup Train [38][1340/2134]	Time 0.550 (0.637)	Data 0.002 (0.022)	Loss 4.0926 (4.1423)	Top-1 acc 29.297 (26.501)	Top-5 acc 48.828 (49.952)	lr 0.00043
Warmup Train [38][1350/2134]	Time 0.717 (0.637)	Data 0.002 (0.022)	Loss 4.2053 (4.1423)	Top-1 acc 22.656 (26.490)	Top-5 acc 50.391 (49.953)	lr 0.00043
Warmup Train [38][1360/2134]	Time 0.653 (0.637)	Data 0.002 (0.022)	Loss 4.1218 (4.1425)	Top-1 acc 24.609 (26.487)	Top-5 acc 48.438 (49.943)	lr 0.00043
Warmup Train [38][1370/2134]	Time 0.436 (0.636)	Data 0.002 (0.022)	Loss 3.9935 (4.1422)	Top-1 acc 30.078 (26.488)	Top-5 acc 53.906 (49.945)	lr 0.00043
Warmup Train [38][1380/2134]	Time 0.459 (0.636)	Data 0.002 (0.022)	Loss 4.0282 (4.1420)	Top-1 acc 27.344 (26.490)	Top-5 acc 57.031 (49.955)	lr 0.00043
Warmup Train [38][1390/2134]	Time 0.650 (0.636)	Data 0.002 (0.022)	Loss 3.8653 (4.1417)	Top-1 acc 29.688 (26.505)	Top-5 acc 59.766 (49.976)	lr 0.00042
Warmup Train [38][1400/2134]	Time 0.475 (0.636)	Data 0.002 (0.022)	Loss 4.0804 (4.1418)	Top-1 acc 29.297 (26.506)	Top-5 acc 48.047 (49.975)	lr 0.00042
Warmup Train [38][1410/2134]	Time 0.710 (0.635)	Data 0.002 (0.022)	Loss 4.2242 (4.1416)	Top-1 acc 25.391 (26.511)	Top-5 acc 48.438 (49.981)	lr 0.00042
Warmup Train [38][1420/2134]	Time 0.735 (0.635)	Data 0.002 (0.021)	Loss 4.1613 (4.1419)	Top-1 acc 21.484 (26.502)	Top-5 acc 51.562 (49.982)	lr 0.00042
Warmup Train [38][1430/2134]	Time 0.653 (0.635)	Data 0.002 (0.021)	Loss 4.0793 (4.1423)	Top-1 acc 27.344 (26.495)	Top-5 acc 48.047 (49.969)	lr 0.00042
Warmup Train [38][1440/2134]	Time 0.527 (0.635)	Data 0.002 (0.021)	Loss 3.9531 (4.1422)	Top-1 acc 30.078 (26.494)	Top-5 acc 57.031 (49.976)	lr 0.00042
Warmup Train [38][1450/2134]	Time 0.719 (0.634)	Data 0.002 (0.021)	Loss 4.2902 (4.1422)	Top-1 acc 27.344 (26.487)	Top-5 acc 46.484 (49.970)	lr 0.00041
Warmup Train [38][1460/2134]	Time 0.679 (0.637)	Data 0.002 (0.021)	Loss 4.0219 (4.1425)	Top-1 acc 26.562 (26.478)	Top-5 acc 51.172 (49.956)	lr 0.00041
Warmup Train [38][1470/2134]	Time 0.536 (0.636)	Data 0.002 (0.021)	Loss 3.9283 (4.1425)	Top-1 acc 30.859 (26.478)	Top-5 acc 56.641 (49.959)	lr 0.00041
Warmup Train [38][1480/2134]	Time 0.435 (0.636)	Data 0.025 (0.021)	Loss 4.1682 (4.1422)	Top-1 acc 23.438 (26.476)	Top-5 acc 48.828 (49.967)	lr 0.00041
Warmup Train [38][1490/2134]	Time 0.535 (0.636)	Data 0.003 (0.021)	Loss 4.2843 (4.1426)	Top-1 acc 24.219 (26.464)	Top-5 acc 46.875 (49.955)	lr 0.00041
Warmup Train [38][1500/2134]	Time 0.691 (0.636)	Data 0.002 (0.021)	Loss 4.2394 (4.1426)	Top-1 acc 22.656 (26.466)	Top-5 acc 44.922 (49.958)	lr 0.00041
Warmup Train [38][1510/2134]	Time 0.708 (0.636)	Data 0.003 (0.021)	Loss 4.0886 (4.1419)	Top-1 acc 27.734 (26.473)	Top-5 acc 53.125 (49.980)	lr 0.00040
Warmup Train [38][1520/2134]	Time 0.720 (0.636)	Data 0.002 (0.021)	Loss 4.0634 (4.1418)	Top-1 acc 21.875 (26.469)	Top-5 acc 46.875 (49.980)	lr 0.00040
Warmup Train [38][1530/2134]	Time 0.640 (0.635)	Data 0.002 (0.020)	Loss 4.1338 (4.1419)	Top-1 acc 29.297 (26.465)	Top-5 acc 50.000 (49.975)	lr 0.00040
Warmup Train [38][1540/2134]	Time 0.507 (0.635)	Data 0.002 (0.020)	Loss 4.2804 (4.1416)	Top-1 acc 26.172 (26.466)	Top-5 acc 47.656 (49.980)	lr 0.00040
Warmup Train [38][1550/2134]	Time 0.456 (0.635)	Data 0.002 (0.020)	Loss 4.1000 (4.1420)	Top-1 acc 27.734 (26.456)	Top-5 acc 52.734 (49.972)	lr 0.00040
Warmup Train [38][1560/2134]	Time 0.634 (0.635)	Data 0.002 (0.020)	Loss 4.2042 (4.1421)	Top-1 acc 25.781 (26.456)	Top-5 acc 49.609 (49.971)	lr 0.00040
Warmup Train [38][1570/2134]	Time 0.697 (0.635)	Data 0.002 (0.020)	Loss 4.0875 (4.1419)	Top-1 acc 25.781 (26.463)	Top-5 acc 53.906 (49.978)	lr 0.00039
Warmup Train [38][1580/2134]	Time 0.611 (0.635)	Data 0.002 (0.020)	Loss 3.9363 (4.1419)	Top-1 acc 33.203 (26.468)	Top-5 acc 56.250 (49.982)	lr 0.00039
Warmup Train [38][1590/2134]	Time 0.747 (0.634)	Data 0.002 (0.020)	Loss 3.9014 (4.1422)	Top-1 acc 31.641 (26.462)	Top-5 acc 55.859 (49.972)	lr 0.00039
Warmup Train [38][1600/2134]	Time 0.513 (0.634)	Data 0.002 (0.020)	Loss 4.0738 (4.1422)	Top-1 acc 28.906 (26.458)	Top-5 acc 51.953 (49.969)	lr 0.00039
Warmup Train [38][1610/2134]	Time 0.615 (0.634)	Data 0.002 (0.020)	Loss 4.0895 (4.1424)	Top-1 acc 27.734 (26.453)	Top-5 acc 55.078 (49.965)	lr 0.00039
Warmup Train [38][1620/2134]	Time 0.711 (0.633)	Data 0.002 (0.020)	Loss 4.2428 (4.1425)	Top-1 acc 27.734 (26.460)	Top-5 acc 49.609 (49.960)	lr 0.00039
Warmup Train [38][1630/2134]	Time 0.434 (0.633)	Data 0.003 (0.020)	Loss 4.1082 (4.1424)	Top-1 acc 27.734 (26.458)	Top-5 acc 51.172 (49.959)	lr 0.00038
Warmup Train [38][1640/2134]	Time 0.596 (0.633)	Data 0.002 (0.020)	Loss 4.1712 (4.1426)	Top-1 acc 21.875 (26.450)	Top-5 acc 50.000 (49.955)	lr 0.00038
Warmup Train [38][1650/2134]	Time 0.605 (0.633)	Data 0.002 (0.020)	Loss 4.0987 (4.1427)	Top-1 acc 28.906 (26.452)	Top-5 acc 53.516 (49.956)	lr 0.00038
Warmup Train [38][1660/2134]	Time 0.462 (0.633)	Data 0.002 (0.019)	Loss 4.1059 (4.1425)	Top-1 acc 25.781 (26.448)	Top-5 acc 50.391 (49.959)	lr 0.00038
Warmup Train [38][1670/2134]	Time 0.482 (0.633)	Data 0.003 (0.019)	Loss 4.1902 (4.1427)	Top-1 acc 24.609 (26.441)	Top-5 acc 51.172 (49.958)	lr 0.00038
Warmup Train [38][1680/2134]	Time 0.473 (0.633)	Data 0.002 (0.019)	Loss 4.2618 (4.1428)	Top-1 acc 23.438 (26.438)	Top-5 acc 48.438 (49.955)	lr 0.00038
Warmup Train [38][1690/2134]	Time 0.704 (0.633)	Data 0.002 (0.019)	Loss 4.0780 (4.1429)	Top-1 acc 30.469 (26.437)	Top-5 acc 51.172 (49.949)	lr 0.00038
Warmup Train [38][1700/2134]	Time 0.550 (0.632)	Data 0.022 (0.019)	Loss 3.9016 (4.1425)	Top-1 acc 32.422 (26.436)	Top-5 acc 55.469 (49.958)	lr 0.00037
Warmup Train [38][1710/2134]	Time 0.623 (0.632)	Data 0.002 (0.019)	Loss 4.1773 (4.1430)	Top-1 acc 27.344 (26.427)	Top-5 acc 48.047 (49.947)	lr 0.00037
Warmup Train [38][1720/2134]	Time 0.647 (0.632)	Data 0.002 (0.019)	Loss 4.1678 (4.1431)	Top-1 acc 28.906 (26.428)	Top-5 acc 49.609 (49.943)	lr 0.00037
Warmup Train [38][1730/2134]	Time 0.549 (0.632)	Data 0.004 (0.019)	Loss 4.0127 (4.1431)	Top-1 acc 33.203 (26.440)	Top-5 acc 51.562 (49.946)	lr 0.00037
Warmup Train [38][1740/2134]	Time 0.521 (0.632)	Data 0.002 (0.019)	Loss 4.2093 (4.1434)	Top-1 acc 22.656 (26.426)	Top-5 acc 46.094 (49.935)	lr 0.00037
Warmup Train [38][1750/2134]	Time 0.508 (0.632)	Data 0.002 (0.019)	Loss 4.2594 (4.1434)	Top-1 acc 27.344 (26.430)	Top-5 acc 47.266 (49.931)	lr 0.00037
Warmup Train [38][1760/2134]	Time 0.675 (0.632)	Data 0.003 (0.019)	Loss 3.9857 (4.1434)	Top-1 acc 30.078 (26.433)	Top-5 acc 55.078 (49.934)	lr 0.00036
Warmup Train [38][1770/2134]	Time 0.676 (0.632)	Data 0.002 (0.019)	Loss 4.1876 (4.1433)	Top-1 acc 25.000 (26.431)	Top-5 acc 49.609 (49.931)	lr 0.00036
Warmup Train [38][1780/2134]	Time 0.508 (0.631)	Data 0.002 (0.019)	Loss 4.0804 (4.1435)	Top-1 acc 27.344 (26.434)	Top-5 acc 53.516 (49.929)	lr 0.00036
Warmup Train [38][1790/2134]	Time 0.449 (0.631)	Data 0.002 (0.019)	Loss 4.2613 (4.1436)	Top-1 acc 18.750 (26.433)	Top-5 acc 45.703 (49.924)	lr 0.00036
Warmup Train [38][1800/2134]	Time 0.518 (0.631)	Data 0.002 (0.019)	Loss 4.1669 (4.1435)	Top-1 acc 25.391 (26.432)	Top-5 acc 48.047 (49.922)	lr 0.00036
Warmup Train [38][1810/2134]	Time 0.577 (0.631)	Data 0.002 (0.019)	Loss 4.0186 (4.1433)	Top-1 acc 26.953 (26.442)	Top-5 acc 53.125 (49.929)	lr 0.00036
Warmup Train [38][1820/2134]	Time 0.528 (0.633)	Data 0.002 (0.019)	Loss 4.1267 (4.1433)	Top-1 acc 27.734 (26.446)	Top-5 acc 51.172 (49.926)	lr 0.00035
Warmup Train [38][1830/2134]	Time 0.628 (0.633)	Data 0.002 (0.019)	Loss 4.1964 (4.1436)	Top-1 acc 26.172 (26.433)	Top-5 acc 46.484 (49.915)	lr 0.00035
Warmup Train [38][1840/2134]	Time 0.778 (0.633)	Data 0.002 (0.019)	Loss 4.2159 (4.1439)	Top-1 acc 26.562 (26.426)	Top-5 acc 48.047 (49.908)	lr 0.00035
Warmup Train [38][1850/2134]	Time 0.530 (0.633)	Data 0.002 (0.018)	Loss 4.0933 (4.1438)	Top-1 acc 26.953 (26.430)	Top-5 acc 50.391 (49.906)	lr 0.00035
Warmup Train [38][1860/2134]	Time 0.673 (0.633)	Data 0.002 (0.018)	Loss 4.1623 (4.1438)	Top-1 acc 25.781 (26.430)	Top-5 acc 48.438 (49.908)	lr 0.00035
Warmup Train [38][1870/2134]	Time 0.552 (0.633)	Data 0.002 (0.018)	Loss 4.1691 (4.1436)	Top-1 acc 24.609 (26.431)	Top-5 acc 47.266 (49.910)	lr 0.00035
Warmup Train [38][1880/2134]	Time 0.717 (0.632)	Data 0.002 (0.018)	Loss 4.1136 (4.1435)	Top-1 acc 23.828 (26.427)	Top-5 acc 54.688 (49.915)	lr 0.00035
Warmup Train [38][1890/2134]	Time 0.624 (0.632)	Data 0.002 (0.018)	Loss 4.3236 (4.1438)	Top-1 acc 22.656 (26.424)	Top-5 acc 48.438 (49.905)	lr 0.00034
Warmup Train [38][1900/2134]	Time 0.645 (0.632)	Data 0.002 (0.018)	Loss 4.0110 (4.1437)	Top-1 acc 27.734 (26.419)	Top-5 acc 52.344 (49.903)	lr 0.00034
Warmup Train [38][1910/2134]	Time 0.549 (0.632)	Data 0.002 (0.018)	Loss 4.0866 (4.1436)	Top-1 acc 30.078 (26.422)	Top-5 acc 49.609 (49.905)	lr 0.00034
Warmup Train [38][1920/2134]	Time 0.499 (0.632)	Data 0.002 (0.018)	Loss 4.3195 (4.1439)	Top-1 acc 24.609 (26.415)	Top-5 acc 48.047 (49.902)	lr 0.00034
Warmup Train [38][1930/2134]	Time 0.827 (0.632)	Data 0.002 (0.018)	Loss 4.1426 (4.1438)	Top-1 acc 25.391 (26.416)	Top-5 acc 49.219 (49.905)	lr 0.00034
Warmup Train [38][1940/2134]	Time 0.589 (0.632)	Data 0.003 (0.018)	Loss 4.0883 (4.1434)	Top-1 acc 26.562 (26.425)	Top-5 acc 51.562 (49.916)	lr 0.00034
Warmup Train [38][1950/2134]	Time 0.756 (0.632)	Data 0.004 (0.018)	Loss 4.0271 (4.1432)	Top-1 acc 27.344 (26.432)	Top-5 acc 51.953 (49.922)	lr 0.00033
Warmup Train [38][1960/2134]	Time 0.559 (0.631)	Data 0.004 (0.018)	Loss 4.0797 (4.1432)	Top-1 acc 28.906 (26.433)	Top-5 acc 53.516 (49.922)	lr 0.00033
Warmup Train [38][1970/2134]	Time 0.631 (0.631)	Data 0.002 (0.018)	Loss 4.0369 (4.1432)	Top-1 acc 30.078 (26.434)	Top-5 acc 51.172 (49.918)	lr 0.00033
Warmup Train [38][1980/2134]	Time 0.824 (0.631)	Data 0.002 (0.018)	Loss 4.1265 (4.1434)	Top-1 acc 25.000 (26.433)	Top-5 acc 46.094 (49.914)	lr 0.00033
Warmup Train [38][1990/2134]	Time 0.806 (0.631)	Data 0.002 (0.018)	Loss 4.1421 (4.1436)	Top-1 acc 24.219 (26.427)	Top-5 acc 48.438 (49.908)	lr 0.00033
Warmup Train [38][2000/2134]	Time 0.667 (0.631)	Data 0.002 (0.018)	Loss 4.0920 (4.1438)	Top-1 acc 28.125 (26.418)	Top-5 acc 51.562 (49.906)	lr 0.00033
Warmup Train [38][2010/2134]	Time 0.519 (0.631)	Data 0.002 (0.017)	Loss 4.1534 (4.1439)	Top-1 acc 27.344 (26.419)	Top-5 acc 46.094 (49.908)	lr 0.00033
Warmup Train [38][2020/2134]	Time 0.584 (0.630)	Data 0.002 (0.017)	Loss 4.1983 (4.1440)	Top-1 acc 24.609 (26.417)	Top-5 acc 50.000 (49.909)	lr 0.00032
Warmup Train [38][2030/2134]	Time 0.591 (0.630)	Data 0.002 (0.017)	Loss 4.0873 (4.1440)	Top-1 acc 28.906 (26.417)	Top-5 acc 50.000 (49.906)	lr 0.00032
Warmup Train [38][2040/2134]	Time 0.666 (0.630)	Data 0.002 (0.017)	Loss 3.9992 (4.1439)	Top-1 acc 26.562 (26.418)	Top-5 acc 55.078 (49.909)	lr 0.00032
Warmup Train [38][2050/2134]	Time 0.595 (0.630)	Data 0.002 (0.017)	Loss 4.0801 (4.1440)	Top-1 acc 28.125 (26.413)	Top-5 acc 51.562 (49.910)	lr 0.00032
Warmup Train [38][2060/2134]	Time 0.496 (0.630)	Data 0.002 (0.017)	Loss 4.3738 (4.1439)	Top-1 acc 20.312 (26.415)	Top-5 acc 42.188 (49.910)	lr 0.00032
Warmup Train [38][2070/2134]	Time 0.655 (0.630)	Data 0.002 (0.017)	Loss 4.2019 (4.1437)	Top-1 acc 25.781 (26.417)	Top-5 acc 45.703 (49.918)	lr 0.00032
Warmup Train [38][2080/2134]	Time 0.694 (0.630)	Data 0.000 (0.017)	Loss 4.0794 (4.1435)	Top-1 acc 28.125 (26.419)	Top-5 acc 52.734 (49.919)	lr 0.00032
Warmup Train [38][2090/2134]	Time 0.715 (0.630)	Data 0.000 (0.017)	Loss 4.1684 (4.1436)	Top-1 acc 28.906 (26.418)	Top-5 acc 52.344 (49.913)	lr 0.00031
Warmup Train [38][2100/2134]	Time 0.610 (0.629)	Data 0.000 (0.017)	Loss 4.0786 (4.1435)	Top-1 acc 27.734 (26.420)	Top-5 acc 52.734 (49.914)	lr 0.00031
Warmup Train [38][2110/2134]	Time 0.475 (0.629)	Data 0.000 (0.017)	Loss 4.0516 (4.1435)	Top-1 acc 30.078 (26.419)	Top-5 acc 50.391 (49.909)	lr 0.00031
Warmup Train [38][2120/2134]	Time 0.564 (0.629)	Data 0.000 (0.017)	Loss 4.0660 (4.1437)	Top-1 acc 27.344 (26.409)	Top-5 acc 51.562 (49.905)	lr 0.00031
Warmup Train [38][2130/2134]	Time 0.725 (0.629)	Data 0.000 (0.017)	Loss 4.1995 (4.1438)	Top-1 acc 27.344 (26.408)	Top-5 acc 51.562 (49.901)	lr 0.00031
Warmup Train [38][2134/2134]	Time 0.592 (0.629)	Data 0.000 (0.017)	Loss 4.1944 (4.1439)	Top-1 acc 28.342 (26.404)	Top-5 acc 49.198 (49.898)	lr 0.00031
==========Warmup Valid [38/40]	loss 3.155	top-1 acc 33.559	top-5 acc 59.239	Train top-1 26.404	top-5 49.898	flops: 442.4M
Warmup Train [39][0/2134]	Time 15.880 (15.880)	Data 13.201 (13.201)	Loss 4.2913 (4.2913)	Top-1 acc 23.047 (23.047)	Top-5 acc 47.656 (47.656)	lr 0.00031
Warmup Train [39][10/2134]	Time 0.606 (2.140)	Data 0.003 (1.206)	Loss 4.1061 (4.1369)	Top-1 acc 27.734 (26.243)	Top-5 acc 50.781 (50.284)	lr 0.00031
Warmup Train [39][20/2134]	Time 0.530 (1.422)	Data 0.002 (0.633)	Loss 4.3446 (4.1251)	Top-1 acc 21.875 (26.637)	Top-5 acc 44.531 (50.670)	lr 0.00030
Warmup Train [39][30/2134]	Time 0.665 (1.312)	Data 0.002 (0.432)	Loss 4.2570 (4.1331)	Top-1 acc 25.391 (26.739)	Top-5 acc 48.047 (50.315)	lr 0.00030
Warmup Train [39][40/2134]	Time 0.762 (1.145)	Data 0.003 (0.328)	Loss 4.2690 (4.1508)	Top-1 acc 24.219 (26.391)	Top-5 acc 49.609 (50.076)	lr 0.00030
Warmup Train [39][50/2134]	Time 0.774 (1.044)	Data 0.002 (0.264)	Loss 4.1211 (4.1424)	Top-1 acc 27.734 (26.685)	Top-5 acc 50.000 (50.115)	lr 0.00030
Warmup Train [39][60/2134]	Time 0.583 (0.968)	Data 0.002 (0.222)	Loss 4.1816 (4.1400)	Top-1 acc 26.953 (26.716)	Top-5 acc 46.484 (50.083)	lr 0.00030
Warmup Train [39][70/2134]	Time 0.559 (0.921)	Data 0.003 (0.192)	Loss 3.9847 (4.1459)	Top-1 acc 32.031 (26.634)	Top-5 acc 56.641 (50.061)	lr 0.00030
Warmup Train [39][80/2134]	Time 0.668 (0.880)	Data 0.002 (0.169)	Loss 4.0291 (4.1423)	Top-1 acc 27.344 (26.611)	Top-5 acc 53.125 (50.169)	lr 0.00030
Warmup Train [39][90/2134]	Time 0.604 (0.852)	Data 0.002 (0.150)	Loss 4.1098 (4.1422)	Top-1 acc 29.688 (26.610)	Top-5 acc 51.562 (50.133)	lr 0.00029
Warmup Train [39][100/2134]	Time 0.535 (0.828)	Data 0.002 (0.136)	Loss 3.9487 (4.1462)	Top-1 acc 30.469 (26.481)	Top-5 acc 54.297 (49.942)	lr 0.00029
Warmup Train [39][110/2134]	Time 0.463 (0.809)	Data 0.003 (0.125)	Loss 4.2335 (4.1487)	Top-1 acc 22.656 (26.464)	Top-5 acc 51.172 (49.891)	lr 0.00029
Warmup Train [39][120/2134]	Time 0.493 (0.792)	Data 0.002 (0.116)	Loss 4.0859 (4.1467)	Top-1 acc 30.078 (26.488)	Top-5 acc 53.516 (49.971)	lr 0.00029
Warmup Train [39][130/2134]	Time 0.504 (0.778)	Data 0.003 (0.108)	Loss 4.0642 (4.1448)	Top-1 acc 24.609 (26.509)	Top-5 acc 52.734 (50.039)	lr 0.00029
Warmup Train [39][140/2134]	Time 0.485 (0.767)	Data 0.002 (0.101)	Loss 4.1167 (4.1440)	Top-1 acc 29.297 (26.513)	Top-5 acc 50.781 (50.047)	lr 0.00029
Warmup Train [39][150/2134]	Time 0.602 (0.759)	Data 0.003 (0.095)	Loss 4.0185 (4.1392)	Top-1 acc 29.297 (26.612)	Top-5 acc 52.734 (50.178)	lr 0.00029
Warmup Train [39][160/2134]	Time 0.742 (0.750)	Data 0.002 (0.090)	Loss 4.0665 (4.1424)	Top-1 acc 26.953 (26.512)	Top-5 acc 54.297 (50.114)	lr 0.00029
Warmup Train [39][170/2134]	Time 0.492 (0.741)	Data 0.005 (0.084)	Loss 3.9054 (4.1404)	Top-1 acc 28.516 (26.533)	Top-5 acc 53.516 (50.073)	lr 0.00028
Warmup Train [39][180/2134]	Time 0.608 (0.736)	Data 0.002 (0.080)	Loss 4.0137 (4.1401)	Top-1 acc 27.734 (26.563)	Top-5 acc 54.688 (50.076)	lr 0.00028
Warmup Train [39][190/2134]	Time 0.654 (0.730)	Data 0.003 (0.076)	Loss 4.3051 (4.1452)	Top-1 acc 25.781 (26.456)	Top-5 acc 44.922 (49.935)	lr 0.00028
Warmup Train [39][200/2134]	Time 0.497 (0.724)	Data 0.003 (0.073)	Loss 4.1386 (4.1444)	Top-1 acc 28.125 (26.409)	Top-5 acc 48.047 (49.967)	lr 0.00028
Warmup Train [39][210/2134]	Time 0.702 (0.720)	Data 0.002 (0.070)	Loss 4.1355 (4.1440)	Top-1 acc 28.906 (26.405)	Top-5 acc 50.000 (49.952)	lr 0.00028
Warmup Train [39][220/2134]	Time 0.872 (0.715)	Data 0.003 (0.067)	Loss 4.0435 (4.1465)	Top-1 acc 29.688 (26.357)	Top-5 acc 51.172 (49.887)	lr 0.00028
Warmup Train [39][230/2134]	Time 0.640 (0.711)	Data 0.002 (0.064)	Loss 4.0746 (4.1454)	Top-1 acc 29.297 (26.410)	Top-5 acc 50.391 (49.888)	lr 0.00028
Warmup Train [39][240/2134]	Time 0.842 (0.706)	Data 0.002 (0.062)	Loss 4.1250 (4.1448)	Top-1 acc 27.344 (26.436)	Top-5 acc 54.297 (49.917)	lr 0.00027
Warmup Train [39][250/2134]	Time 0.682 (0.703)	Data 0.002 (0.059)	Loss 4.3920 (4.1450)	Top-1 acc 23.047 (26.438)	Top-5 acc 42.188 (49.930)	lr 0.00027
Warmup Train [39][260/2134]	Time 0.483 (0.699)	Data 0.023 (0.057)	Loss 4.1072 (4.1437)	Top-1 acc 26.172 (26.474)	Top-5 acc 51.562 (49.994)	lr 0.00027
Warmup Train [39][270/2134]	Time 0.672 (0.695)	Data 0.002 (0.056)	Loss 4.0485 (4.1430)	Top-1 acc 29.297 (26.476)	Top-5 acc 53.516 (49.984)	lr 0.00027
Warmup Train [39][280/2134]	Time 0.744 (0.692)	Data 0.004 (0.054)	Loss 4.0753 (4.1433)	Top-1 acc 28.906 (26.464)	Top-5 acc 52.344 (49.961)	lr 0.00027
Warmup Train [39][290/2134]	Time 0.613 (0.690)	Data 0.002 (0.052)	Loss 4.2723 (4.1439)	Top-1 acc 25.000 (26.412)	Top-5 acc 49.609 (49.945)	lr 0.00027
Warmup Train [39][300/2134]	Time 0.676 (0.687)	Data 0.002 (0.051)	Loss 4.1781 (4.1430)	Top-1 acc 26.172 (26.439)	Top-5 acc 48.828 (49.955)	lr 0.00027
Warmup Train [39][310/2134]	Time 0.630 (0.685)	Data 0.004 (0.049)	Loss 4.0788 (4.1435)	Top-1 acc 30.469 (26.447)	Top-5 acc 50.781 (49.940)	lr 0.00026
Warmup Train [39][320/2134]	Time 0.719 (0.682)	Data 0.002 (0.048)	Loss 4.1178 (4.1432)	Top-1 acc 23.828 (26.444)	Top-5 acc 51.172 (49.970)	lr 0.00026
Warmup Train [39][330/2134]	Time 0.445 (0.679)	Data 0.002 (0.046)	Loss 4.1971 (4.1431)	Top-1 acc 24.219 (26.476)	Top-5 acc 52.344 (50.012)	lr 0.00026
Warmup Train [39][340/2134]	Time 0.530 (0.677)	Data 0.002 (0.046)	Loss 4.1616 (4.1443)	Top-1 acc 30.469 (26.464)	Top-5 acc 51.172 (49.973)	lr 0.00026
Warmup Train [39][350/2134]	Time 0.512 (0.675)	Data 0.002 (0.045)	Loss 4.2087 (4.1455)	Top-1 acc 24.219 (26.448)	Top-5 acc 45.703 (49.965)	lr 0.00026
Warmup Train [39][360/2134]	Time 0.484 (0.673)	Data 0.002 (0.044)	Loss 4.2519 (4.1439)	Top-1 acc 23.828 (26.461)	Top-5 acc 47.656 (50.019)	lr 0.00026
Warmup Train [39][370/2134]	Time 0.478 (0.671)	Data 0.002 (0.043)	Loss 4.2537 (4.1435)	Top-1 acc 21.484 (26.419)	Top-5 acc 45.312 (50.006)	lr 0.00026
Warmup Train [39][380/2134]	Time 0.745 (0.670)	Data 0.003 (0.042)	Loss 4.2962 (4.1456)	Top-1 acc 23.828 (26.382)	Top-5 acc 48.828 (49.952)	lr 0.00026
Warmup Train [39][390/2134]	Time 0.720 (0.669)	Data 0.002 (0.041)	Loss 4.3102 (4.1467)	Top-1 acc 21.875 (26.367)	Top-5 acc 46.484 (49.945)	lr 0.00025
Warmup Train [39][400/2134]	Time 0.655 (0.679)	Data 0.002 (0.040)	Loss 4.2394 (4.1468)	Top-1 acc 21.875 (26.339)	Top-5 acc 48.047 (49.956)	lr 0.00025
Warmup Train [39][410/2134]	Time 0.536 (0.678)	Data 0.002 (0.039)	Loss 4.2128 (4.1470)	Top-1 acc 25.781 (26.340)	Top-5 acc 48.828 (49.941)	lr 0.00025
Warmup Train [39][420/2134]	Time 0.614 (0.677)	Data 0.002 (0.039)	Loss 4.0661 (4.1472)	Top-1 acc 24.609 (26.329)	Top-5 acc 54.297 (49.921)	lr 0.00025
Warmup Train [39][430/2134]	Time 0.569 (0.674)	Data 0.003 (0.038)	Loss 4.1865 (4.1484)	Top-1 acc 28.516 (26.303)	Top-5 acc 52.344 (49.914)	lr 0.00025
Warmup Train [39][440/2134]	Time 0.765 (0.673)	Data 0.005 (0.037)	Loss 4.1732 (4.1483)	Top-1 acc 26.562 (26.296)	Top-5 acc 47.656 (49.921)	lr 0.00025
Warmup Train [39][450/2134]	Time 0.650 (0.672)	Data 0.002 (0.036)	Loss 4.0882 (4.1479)	Top-1 acc 30.469 (26.326)	Top-5 acc 52.734 (49.928)	lr 0.00025
Warmup Train [39][460/2134]	Time 0.673 (0.670)	Data 0.002 (0.036)	Loss 4.3161 (4.1469)	Top-1 acc 23.828 (26.326)	Top-5 acc 43.750 (49.960)	lr 0.00025
Warmup Train [39][470/2134]	Time 0.635 (0.669)	Data 0.002 (0.035)	Loss 4.2514 (4.1472)	Top-1 acc 22.266 (26.325)	Top-5 acc 46.484 (49.966)	lr 0.00024
Warmup Train [39][480/2134]	Time 0.434 (0.667)	Data 0.002 (0.034)	Loss 4.0870 (4.1458)	Top-1 acc 29.688 (26.357)	Top-5 acc 51.172 (49.998)	lr 0.00024
Warmup Train [39][490/2134]	Time 0.590 (0.666)	Data 0.002 (0.034)	Loss 4.1514 (4.1467)	Top-1 acc 23.828 (26.333)	Top-5 acc 50.391 (49.979)	lr 0.00024
Warmup Train [39][500/2134]	Time 0.503 (0.664)	Data 0.002 (0.033)	Loss 4.1022 (4.1475)	Top-1 acc 25.391 (26.325)	Top-5 acc 48.828 (49.967)	lr 0.00024
Warmup Train [39][510/2134]	Time 0.674 (0.664)	Data 0.002 (0.033)	Loss 4.1951 (4.1479)	Top-1 acc 24.219 (26.327)	Top-5 acc 48.047 (49.949)	lr 0.00024
Warmup Train [39][520/2134]	Time 0.666 (0.663)	Data 0.002 (0.032)	Loss 4.1390 (4.1474)	Top-1 acc 26.172 (26.330)	Top-5 acc 50.000 (49.960)	lr 0.00024
Warmup Train [39][530/2134]	Time 0.474 (0.661)	Data 0.003 (0.032)	Loss 4.2318 (4.1473)	Top-1 acc 24.609 (26.339)	Top-5 acc 50.391 (49.953)	lr 0.00024
Warmup Train [39][540/2134]	Time 0.519 (0.661)	Data 0.003 (0.032)	Loss 4.3097 (4.1469)	Top-1 acc 22.656 (26.350)	Top-5 acc 46.094 (49.957)	lr 0.00023
Warmup Train [39][550/2134]	Time 0.614 (0.660)	Data 0.002 (0.031)	Loss 4.1149 (4.1470)	Top-1 acc 30.859 (26.353)	Top-5 acc 50.391 (49.955)	lr 0.00023
Warmup Train [39][560/2134]	Time 0.594 (0.660)	Data 0.002 (0.031)	Loss 4.2411 (4.1468)	Top-1 acc 24.219 (26.356)	Top-5 acc 47.266 (49.954)	lr 0.00023
Warmup Train [39][570/2134]	Time 0.735 (0.659)	Data 0.003 (0.030)	Loss 4.0110 (4.1470)	Top-1 acc 29.297 (26.352)	Top-5 acc 53.906 (49.948)	lr 0.00023
Warmup Train [39][580/2134]	Time 0.611 (0.658)	Data 0.002 (0.030)	Loss 4.1760 (4.1465)	Top-1 acc 28.516 (26.374)	Top-5 acc 46.484 (49.970)	lr 0.00023
Warmup Train [39][590/2134]	Time 0.444 (0.657)	Data 0.002 (0.029)	Loss 4.0366 (4.1462)	Top-1 acc 25.781 (26.375)	Top-5 acc 52.344 (49.987)	lr 0.00023
Warmup Train [39][600/2134]	Time 0.562 (0.656)	Data 0.002 (0.029)	Loss 4.2367 (4.1458)	Top-1 acc 21.875 (26.373)	Top-5 acc 45.703 (49.980)	lr 0.00023
Warmup Train [39][610/2134]	Time 0.672 (0.656)	Data 0.002 (0.029)	Loss 3.9044 (4.1451)	Top-1 acc 28.906 (26.379)	Top-5 acc 55.078 (49.984)	lr 0.00023
Warmup Train [39][620/2134]	Time 0.555 (0.655)	Data 0.002 (0.028)	Loss 4.1255 (4.1457)	Top-1 acc 25.781 (26.354)	Top-5 acc 48.828 (49.956)	lr 0.00023
Warmup Train [39][630/2134]	Time 0.726 (0.654)	Data 0.002 (0.028)	Loss 4.1502 (4.1454)	Top-1 acc 26.172 (26.367)	Top-5 acc 54.297 (49.969)	lr 0.00022
Warmup Train [39][640/2134]	Time 0.615 (0.653)	Data 0.002 (0.028)	Loss 4.0961 (4.1460)	Top-1 acc 26.562 (26.350)	Top-5 acc 49.609 (49.945)	lr 0.00022
Warmup Train [39][650/2134]	Time 0.594 (0.652)	Data 0.002 (0.027)	Loss 4.1977 (4.1456)	Top-1 acc 27.734 (26.361)	Top-5 acc 46.484 (49.936)	lr 0.00022
Warmup Train [39][660/2134]	Time 0.601 (0.651)	Data 0.005 (0.027)	Loss 4.3633 (4.1461)	Top-1 acc 18.359 (26.350)	Top-5 acc 44.922 (49.927)	lr 0.00022
Warmup Train [39][670/2134]	Time 0.759 (0.651)	Data 0.002 (0.027)	Loss 4.0971 (4.1451)	Top-1 acc 27.734 (26.373)	Top-5 acc 50.781 (49.948)	lr 0.00022
Warmup Train [39][680/2134]	Time 0.656 (0.650)	Data 0.002 (0.026)	Loss 4.2393 (4.1456)	Top-1 acc 26.953 (26.369)	Top-5 acc 47.656 (49.939)	lr 0.00022
Warmup Train [39][690/2134]	Time 0.629 (0.649)	Data 0.002 (0.026)	Loss 4.2135 (4.1460)	Top-1 acc 24.219 (26.359)	Top-5 acc 49.219 (49.933)	lr 0.00022
Warmup Train [39][700/2134]	Time 0.451 (0.649)	Data 0.002 (0.026)	Loss 4.2782 (4.1462)	Top-1 acc 26.953 (26.354)	Top-5 acc 49.219 (49.916)	lr 0.00022
Warmup Train [39][710/2134]	Time 0.671 (0.649)	Data 0.002 (0.026)	Loss 4.3793 (4.1465)	Top-1 acc 23.438 (26.345)	Top-5 acc 41.797 (49.902)	lr 0.00021
Warmup Train [39][720/2134]	Time 0.533 (0.648)	Data 0.002 (0.025)	Loss 4.0742 (4.1459)	Top-1 acc 28.125 (26.352)	Top-5 acc 53.516 (49.906)	lr 0.00021
Warmup Train [39][730/2134]	Time 0.634 (0.647)	Data 0.002 (0.025)	Loss 4.1333 (4.1463)	Top-1 acc 24.219 (26.347)	Top-5 acc 48.047 (49.897)	lr 0.00021
Warmup Train [39][740/2134]	Time 0.470 (0.647)	Data 0.002 (0.025)	Loss 4.1962 (4.1462)	Top-1 acc 25.781 (26.353)	Top-5 acc 47.266 (49.883)	lr 0.00021
Warmup Train [39][750/2134]	Time 0.476 (0.646)	Data 0.002 (0.025)	Loss 4.1272 (4.1459)	Top-1 acc 25.000 (26.346)	Top-5 acc 52.734 (49.889)	lr 0.00021
Warmup Train [39][760/2134]	Time 0.694 (0.645)	Data 0.002 (0.025)	Loss 4.1432 (4.1462)	Top-1 acc 26.172 (26.326)	Top-5 acc 48.047 (49.874)	lr 0.00021
Warmup Train [39][770/2134]	Time 0.712 (0.650)	Data 0.002 (0.025)	Loss 4.2088 (4.1461)	Top-1 acc 24.219 (26.331)	Top-5 acc 48.047 (49.868)	lr 0.00021
Warmup Train [39][780/2134]	Time 0.661 (0.650)	Data 0.002 (0.024)	Loss 4.1181 (4.1464)	Top-1 acc 27.344 (26.329)	Top-5 acc 53.906 (49.867)	lr 0.00021
Warmup Train [39][790/2134]	Time 0.561 (0.649)	Data 0.004 (0.024)	Loss 4.1192 (4.1456)	Top-1 acc 28.906 (26.352)	Top-5 acc 50.000 (49.885)	lr 0.00020
Warmup Train [39][800/2134]	Time 0.606 (0.649)	Data 0.002 (0.024)	Loss 4.1346 (4.1457)	Top-1 acc 24.219 (26.345)	Top-5 acc 53.516 (49.896)	lr 0.00020
Warmup Train [39][810/2134]	Time 0.502 (0.648)	Data 0.002 (0.024)	Loss 4.1889 (4.1458)	Top-1 acc 27.734 (26.364)	Top-5 acc 52.344 (49.887)	lr 0.00020
Warmup Train [39][820/2134]	Time 0.640 (0.648)	Data 0.002 (0.023)	Loss 4.2200 (4.1459)	Top-1 acc 25.781 (26.357)	Top-5 acc 49.219 (49.879)	lr 0.00020
Warmup Train [39][830/2134]	Time 0.567 (0.647)	Data 0.002 (0.023)	Loss 4.0164 (4.1458)	Top-1 acc 27.344 (26.366)	Top-5 acc 51.172 (49.878)	lr 0.00020
Warmup Train [39][840/2134]	Time 0.723 (0.646)	Data 0.002 (0.023)	Loss 4.1191 (4.1460)	Top-1 acc 26.562 (26.354)	Top-5 acc 53.516 (49.874)	lr 0.00020
Warmup Train [39][850/2134]	Time 0.491 (0.645)	Data 0.002 (0.023)	Loss 4.1189 (4.1456)	Top-1 acc 27.344 (26.360)	Top-5 acc 51.953 (49.885)	lr 0.00020
Warmup Train [39][860/2134]	Time 0.671 (0.645)	Data 0.002 (0.023)	Loss 4.0383 (4.1452)	Top-1 acc 27.344 (26.373)	Top-5 acc 52.734 (49.904)	lr 0.00020
Warmup Train [39][870/2134]	Time 0.544 (0.644)	Data 0.004 (0.023)	Loss 4.1256 (4.1452)	Top-1 acc 26.953 (26.367)	Top-5 acc 53.516 (49.910)	lr 0.00020
Warmup Train [39][880/2134]	Time 0.706 (0.644)	Data 0.002 (0.022)	Loss 4.1115 (4.1442)	Top-1 acc 30.078 (26.388)	Top-5 acc 48.438 (49.943)	lr 0.00019
Warmup Train [39][890/2134]	Time 0.587 (0.644)	Data 0.002 (0.022)	Loss 4.1447 (4.1440)	Top-1 acc 26.562 (26.386)	Top-5 acc 48.047 (49.945)	lr 0.00019
Warmup Train [39][900/2134]	Time 0.580 (0.643)	Data 0.002 (0.022)	Loss 4.1715 (4.1441)	Top-1 acc 25.391 (26.394)	Top-5 acc 50.781 (49.937)	lr 0.00019
Warmup Train [39][910/2134]	Time 0.690 (0.643)	Data 0.029 (0.022)	Loss 4.1736 (4.1439)	Top-1 acc 24.609 (26.402)	Top-5 acc 50.000 (49.946)	lr 0.00019
Warmup Train [39][920/2134]	Time 0.522 (0.642)	Data 0.002 (0.022)	Loss 4.3019 (4.1442)	Top-1 acc 21.094 (26.400)	Top-5 acc 49.219 (49.949)	lr 0.00019
Warmup Train [39][930/2134]	Time 0.693 (0.642)	Data 0.002 (0.022)	Loss 4.1272 (4.1438)	Top-1 acc 26.172 (26.406)	Top-5 acc 53.125 (49.967)	lr 0.00019
Warmup Train [39][940/2134]	Time 0.639 (0.642)	Data 0.003 (0.021)	Loss 4.2313 (4.1442)	Top-1 acc 22.266 (26.401)	Top-5 acc 48.438 (49.954)	lr 0.00019
Warmup Train [39][950/2134]	Time 0.669 (0.641)	Data 0.002 (0.021)	Loss 4.1196 (4.1439)	Top-1 acc 27.734 (26.404)	Top-5 acc 51.172 (49.954)	lr 0.00019
Warmup Train [39][960/2134]	Time 0.689 (0.641)	Data 0.002 (0.021)	Loss 4.0040 (4.1438)	Top-1 acc 25.391 (26.405)	Top-5 acc 53.516 (49.959)	lr 0.00019
Warmup Train [39][970/2134]	Time 0.562 (0.641)	Data 0.003 (0.021)	Loss 4.1109 (4.1440)	Top-1 acc 26.953 (26.397)	Top-5 acc 50.000 (49.960)	lr 0.00018
Warmup Train [39][980/2134]	Time 0.692 (0.640)	Data 0.002 (0.021)	Loss 3.9595 (4.1435)	Top-1 acc 32.031 (26.408)	Top-5 acc 51.172 (49.975)	lr 0.00018
Warmup Train [39][990/2134]	Time 0.584 (0.640)	Data 0.002 (0.021)	Loss 4.2215 (4.1437)	Top-1 acc 25.000 (26.400)	Top-5 acc 50.391 (49.975)	lr 0.00018
Warmup Train [39][1000/2134]	Time 0.528 (0.640)	Data 0.002 (0.021)	Loss 4.1605 (4.1441)	Top-1 acc 23.047 (26.379)	Top-5 acc 51.953 (49.969)	lr 0.00018
Warmup Train [39][1010/2134]	Time 0.612 (0.640)	Data 0.002 (0.020)	Loss 4.1386 (4.1450)	Top-1 acc 26.562 (26.359)	Top-5 acc 51.172 (49.952)	lr 0.00018
Warmup Train [39][1020/2134]	Time 0.630 (0.639)	Data 0.002 (0.020)	Loss 4.1729 (4.1452)	Top-1 acc 28.516 (26.354)	Top-5 acc 47.656 (49.936)	lr 0.00018
Warmup Train [39][1030/2134]	Time 0.280 (0.639)	Data 0.003 (0.020)	Loss 4.1901 (4.1450)	Top-1 acc 21.484 (26.359)	Top-5 acc 44.922 (49.944)	lr 0.00018
Warmup Train [39][1040/2134]	Time 0.459 (0.639)	Data 0.002 (0.020)	Loss 4.2906 (4.1453)	Top-1 acc 25.000 (26.352)	Top-5 acc 50.391 (49.937)	lr 0.00018
Warmup Train [39][1050/2134]	Time 0.628 (0.638)	Data 0.003 (0.020)	Loss 4.1421 (4.1448)	Top-1 acc 26.562 (26.366)	Top-5 acc 51.562 (49.947)	lr 0.00018
Warmup Train [39][1060/2134]	Time 0.618 (0.638)	Data 0.002 (0.020)	Loss 4.1692 (4.1449)	Top-1 acc 26.562 (26.360)	Top-5 acc 53.516 (49.948)	lr 0.00017
Warmup Train [39][1070/2134]	Time 0.471 (0.638)	Data 0.002 (0.020)	Loss 4.1366 (4.1450)	Top-1 acc 24.609 (26.352)	Top-5 acc 50.781 (49.945)	lr 0.00017
Warmup Train [39][1080/2134]	Time 0.760 (0.638)	Data 0.004 (0.020)	Loss 4.0840 (4.1450)	Top-1 acc 24.219 (26.357)	Top-5 acc 51.172 (49.942)	lr 0.00017
Warmup Train [39][1090/2134]	Time 0.692 (0.637)	Data 0.003 (0.020)	Loss 4.1908 (4.1452)	Top-1 acc 22.656 (26.348)	Top-5 acc 46.484 (49.943)	lr 0.00017
Warmup Train [39][1100/2134]	Time 0.508 (0.637)	Data 0.002 (0.019)	Loss 4.2203 (4.1450)	Top-1 acc 25.000 (26.354)	Top-5 acc 47.656 (49.950)	lr 0.00017
Warmup Train [39][1110/2134]	Time 0.736 (0.637)	Data 0.002 (0.019)	Loss 4.1490 (4.1447)	Top-1 acc 28.125 (26.353)	Top-5 acc 48.438 (49.955)	lr 0.00017
Warmup Train [39][1120/2134]	Time 0.582 (0.637)	Data 0.002 (0.019)	Loss 4.4421 (4.1444)	Top-1 acc 22.266 (26.355)	Top-5 acc 40.234 (49.956)	lr 0.00017
Warmup Train [39][1130/2134]	Time 0.680 (0.636)	Data 0.002 (0.019)	Loss 4.1601 (4.1444)	Top-1 acc 27.734 (26.354)	Top-5 acc 49.609 (49.951)	lr 0.00017
Warmup Train [39][1140/2134]	Time 0.437 (0.639)	Data 0.003 (0.019)	Loss 4.2212 (4.1449)	Top-1 acc 27.344 (26.344)	Top-5 acc 49.219 (49.940)	lr 0.00017
Warmup Train [39][1150/2134]	Time 0.757 (0.639)	Data 0.002 (0.019)	Loss 4.1901 (4.1449)	Top-1 acc 25.391 (26.345)	Top-5 acc 47.266 (49.938)	lr 0.00016
Warmup Train [39][1160/2134]	Time 0.596 (0.639)	Data 0.003 (0.019)	Loss 3.9661 (4.1446)	Top-1 acc 29.688 (26.348)	Top-5 acc 54.297 (49.936)	lr 0.00016
Warmup Train [39][1170/2134]	Time 0.830 (0.639)	Data 0.002 (0.019)	Loss 4.0476 (4.1446)	Top-1 acc 30.078 (26.359)	Top-5 acc 54.297 (49.936)	lr 0.00016
Warmup Train [39][1180/2134]	Time 0.555 (0.638)	Data 0.002 (0.019)	Loss 4.2914 (4.1450)	Top-1 acc 22.266 (26.337)	Top-5 acc 43.359 (49.919)	lr 0.00016
Warmup Train [39][1190/2134]	Time 0.648 (0.638)	Data 0.002 (0.019)	Loss 4.4665 (4.1451)	Top-1 acc 17.578 (26.332)	Top-5 acc 42.188 (49.919)	lr 0.00016
Warmup Train [39][1200/2134]	Time 0.739 (0.638)	Data 0.002 (0.018)	Loss 4.0399 (4.1450)	Top-1 acc 30.469 (26.333)	Top-5 acc 53.125 (49.913)	lr 0.00016
Warmup Train [39][1210/2134]	Time 0.617 (0.637)	Data 0.002 (0.018)	Loss 4.0946 (4.1450)	Top-1 acc 31.250 (26.343)	Top-5 acc 52.344 (49.916)	lr 0.00016
Warmup Train [39][1220/2134]	Time 0.429 (0.637)	Data 0.002 (0.018)	Loss 3.9414 (4.1450)	Top-1 acc 27.734 (26.340)	Top-5 acc 52.344 (49.917)	lr 0.00016
Warmup Train [39][1230/2134]	Time 0.738 (0.637)	Data 0.003 (0.018)	Loss 4.2526 (4.1453)	Top-1 acc 23.438 (26.334)	Top-5 acc 44.922 (49.910)	lr 0.00016
Warmup Train [39][1240/2134]	Time 0.771 (0.636)	Data 0.003 (0.018)	Loss 4.2289 (4.1453)	Top-1 acc 20.703 (26.320)	Top-5 acc 49.609 (49.910)	lr 0.00016
Warmup Train [39][1250/2134]	Time 0.613 (0.636)	Data 0.002 (0.018)	Loss 4.1150 (4.1452)	Top-1 acc 25.391 (26.327)	Top-5 acc 51.953 (49.923)	lr 0.00015
Warmup Train [39][1260/2134]	Time 0.561 (0.636)	Data 0.002 (0.018)	Loss 3.9943 (4.1449)	Top-1 acc 30.078 (26.330)	Top-5 acc 55.078 (49.933)	lr 0.00015
Warmup Train [39][1270/2134]	Time 0.492 (0.635)	Data 0.004 (0.018)	Loss 3.9354 (4.1448)	Top-1 acc 30.859 (26.332)	Top-5 acc 57.422 (49.936)	lr 0.00015
Warmup Train [39][1280/2134]	Time 0.500 (0.635)	Data 0.002 (0.018)	Loss 4.2659 (4.1449)	Top-1 acc 28.125 (26.330)	Top-5 acc 44.922 (49.930)	lr 0.00015
Warmup Train [39][1290/2134]	Time 0.561 (0.635)	Data 0.003 (0.018)	Loss 4.1815 (4.1452)	Top-1 acc 25.391 (26.335)	Top-5 acc 53.125 (49.926)	lr 0.00015
Warmup Train [39][1300/2134]	Time 0.604 (0.635)	Data 0.002 (0.018)	Loss 4.1326 (4.1450)	Top-1 acc 28.125 (26.335)	Top-5 acc 49.219 (49.928)	lr 0.00015
Warmup Train [39][1310/2134]	Time 0.600 (0.635)	Data 0.003 (0.018)	Loss 4.0898 (4.1454)	Top-1 acc 27.344 (26.334)	Top-5 acc 50.781 (49.923)	lr 0.00015
Warmup Train [39][1320/2134]	Time 0.682 (0.634)	Data 0.004 (0.018)	Loss 4.1115 (4.1456)	Top-1 acc 32.812 (26.334)	Top-5 acc 51.953 (49.928)	lr 0.00015
Warmup Train [39][1330/2134]	Time 0.418 (0.634)	Data 0.003 (0.017)	Loss 4.0700 (4.1454)	Top-1 acc 28.906 (26.341)	Top-5 acc 48.828 (49.931)	lr 0.00015
Warmup Train [39][1340/2134]	Time 0.784 (0.634)	Data 0.003 (0.017)	Loss 3.9820 (4.1453)	Top-1 acc 30.469 (26.345)	Top-5 acc 53.906 (49.930)	lr 0.00015
Warmup Train [39][1350/2134]	Time 0.659 (0.634)	Data 0.002 (0.017)	Loss 4.0650 (4.1455)	Top-1 acc 24.609 (26.344)	Top-5 acc 49.219 (49.927)	lr 0.00014
Warmup Train [39][1360/2134]	Time 0.782 (0.634)	Data 0.002 (0.017)	Loss 3.9862 (4.1453)	Top-1 acc 29.297 (26.353)	Top-5 acc 50.000 (49.925)	lr 0.00014
Warmup Train [39][1370/2134]	Time 0.601 (0.634)	Data 0.002 (0.017)	Loss 4.1133 (4.1454)	Top-1 acc 24.609 (26.343)	Top-5 acc 48.047 (49.922)	lr 0.00014
Warmup Train [39][1380/2134]	Time 0.577 (0.633)	Data 0.002 (0.017)	Loss 4.2430 (4.1450)	Top-1 acc 25.000 (26.351)	Top-5 acc 47.266 (49.933)	lr 0.00014
Warmup Train [39][1390/2134]	Time 0.656 (0.633)	Data 0.004 (0.017)	Loss 3.9845 (4.1450)	Top-1 acc 29.297 (26.345)	Top-5 acc 54.688 (49.934)	lr 0.00014
Warmup Train [39][1400/2134]	Time 0.524 (0.633)	Data 0.002 (0.017)	Loss 4.1248 (4.1449)	Top-1 acc 27.734 (26.350)	Top-5 acc 48.828 (49.933)	lr 0.00014
Warmup Train [39][1410/2134]	Time 0.460 (0.633)	Data 0.003 (0.017)	Loss 4.1092 (4.1443)	Top-1 acc 28.906 (26.360)	Top-5 acc 50.781 (49.950)	lr 0.00014
Warmup Train [39][1420/2134]	Time 0.660 (0.633)	Data 0.002 (0.017)	Loss 3.7586 (4.1441)	Top-1 acc 35.156 (26.370)	Top-5 acc 59.375 (49.958)	lr 0.00014
Warmup Train [39][1430/2134]	Time 0.424 (0.632)	Data 0.002 (0.017)	Loss 4.2470 (4.1444)	Top-1 acc 23.438 (26.358)	Top-5 acc 48.047 (49.951)	lr 0.00014
Warmup Train [39][1440/2134]	Time 0.530 (0.632)	Data 0.002 (0.017)	Loss 4.2505 (4.1448)	Top-1 acc 22.656 (26.351)	Top-5 acc 47.266 (49.943)	lr 0.00014
Warmup Train [39][1450/2134]	Time 0.532 (0.632)	Data 0.003 (0.017)	Loss 4.0822 (4.1450)	Top-1 acc 26.953 (26.339)	Top-5 acc 53.516 (49.941)	lr 0.00013
Warmup Train [39][1460/2134]	Time 0.647 (0.631)	Data 0.002 (0.017)	Loss 4.2726 (4.1447)	Top-1 acc 27.344 (26.340)	Top-5 acc 49.219 (49.949)	lr 0.00013
Warmup Train [39][1470/2134]	Time 0.526 (0.631)	Data 0.002 (0.017)	Loss 4.1678 (4.1449)	Top-1 acc 29.688 (26.339)	Top-5 acc 48.828 (49.942)	lr 0.00013
Warmup Train [39][1480/2134]	Time 0.626 (0.631)	Data 0.002 (0.017)	Loss 4.1672 (4.1446)	Top-1 acc 28.516 (26.349)	Top-5 acc 50.391 (49.953)	lr 0.00013
Warmup Train [39][1490/2134]	Time 0.620 (0.631)	Data 0.002 (0.017)	Loss 3.9683 (4.1444)	Top-1 acc 32.031 (26.358)	Top-5 acc 52.344 (49.956)	lr 0.00013
Warmup Train [39][1500/2134]	Time 4.074 (0.633)	Data 0.003 (0.017)	Loss 4.0674 (4.1442)	Top-1 acc 24.609 (26.360)	Top-5 acc 53.906 (49.959)	lr 0.00013
Warmup Train [39][1510/2134]	Time 0.727 (0.633)	Data 0.002 (0.016)	Loss 4.1075 (4.1441)	Top-1 acc 29.297 (26.357)	Top-5 acc 50.781 (49.949)	lr 0.00013
Warmup Train [39][1520/2134]	Time 0.534 (0.633)	Data 0.002 (0.016)	Loss 4.1821 (4.1441)	Top-1 acc 24.609 (26.360)	Top-5 acc 50.000 (49.945)	lr 0.00013
Warmup Train [39][1530/2134]	Time 0.672 (0.633)	Data 0.002 (0.016)	Loss 4.2343 (4.1444)	Top-1 acc 29.688 (26.358)	Top-5 acc 51.172 (49.946)	lr 0.00013
Warmup Train [39][1540/2134]	Time 0.809 (0.633)	Data 0.002 (0.016)	Loss 4.2313 (4.1443)	Top-1 acc 28.125 (26.358)	Top-5 acc 50.391 (49.951)	lr 0.00013
Warmup Train [39][1550/2134]	Time 0.667 (0.633)	Data 0.002 (0.016)	Loss 4.2298 (4.1442)	Top-1 acc 21.875 (26.361)	Top-5 acc 48.047 (49.958)	lr 0.00013
Warmup Train [39][1560/2134]	Time 0.437 (0.632)	Data 0.003 (0.016)	Loss 4.0714 (4.1442)	Top-1 acc 25.781 (26.358)	Top-5 acc 52.344 (49.958)	lr 0.00012
Warmup Train [39][1570/2134]	Time 0.497 (0.632)	Data 0.003 (0.016)	Loss 4.1621 (4.1440)	Top-1 acc 26.172 (26.360)	Top-5 acc 46.484 (49.960)	lr 0.00012
Warmup Train [39][1580/2134]	Time 0.579 (0.632)	Data 0.003 (0.016)	Loss 4.1192 (4.1438)	Top-1 acc 25.000 (26.364)	Top-5 acc 50.781 (49.962)	lr 0.00012
Warmup Train [39][1590/2134]	Time 0.648 (0.632)	Data 0.002 (0.016)	Loss 4.0772 (4.1436)	Top-1 acc 26.953 (26.363)	Top-5 acc 54.297 (49.963)	lr 0.00012
Warmup Train [39][1600/2134]	Time 0.635 (0.632)	Data 0.002 (0.016)	Loss 3.8616 (4.1435)	Top-1 acc 32.031 (26.361)	Top-5 acc 57.812 (49.963)	lr 0.00012
Warmup Train [39][1610/2134]	Time 0.707 (0.632)	Data 0.002 (0.016)	Loss 4.0660 (4.1435)	Top-1 acc 28.906 (26.369)	Top-5 acc 48.438 (49.962)	lr 0.00012
Warmup Train [39][1620/2134]	Time 0.775 (0.632)	Data 0.002 (0.016)	Loss 4.1451 (4.1432)	Top-1 acc 27.734 (26.379)	Top-5 acc 48.828 (49.972)	lr 0.00012
Warmup Train [39][1630/2134]	Time 0.661 (0.632)	Data 0.002 (0.016)	Loss 4.2591 (4.1435)	Top-1 acc 26.172 (26.382)	Top-5 acc 48.047 (49.967)	lr 0.00012
Warmup Train [39][1640/2134]	Time 0.584 (0.631)	Data 0.004 (0.016)	Loss 4.1145 (4.1432)	Top-1 acc 25.781 (26.389)	Top-5 acc 47.266 (49.970)	lr 0.00012
Warmup Train [39][1650/2134]	Time 0.442 (0.631)	Data 0.002 (0.016)	Loss 4.0660 (4.1435)	Top-1 acc 26.953 (26.386)	Top-5 acc 49.219 (49.969)	lr 0.00012
Warmup Train [39][1660/2134]	Time 0.466 (0.631)	Data 0.002 (0.016)	Loss 4.1632 (4.1437)	Top-1 acc 26.562 (26.378)	Top-5 acc 46.094 (49.960)	lr 0.00012
Warmup Train [39][1670/2134]	Time 0.433 (0.631)	Data 0.002 (0.016)	Loss 4.1685 (4.1440)	Top-1 acc 29.688 (26.372)	Top-5 acc 49.609 (49.953)	lr 0.00011
Warmup Train [39][1680/2134]	Time 0.579 (0.631)	Data 0.002 (0.016)	Loss 4.3662 (4.1444)	Top-1 acc 21.875 (26.360)	Top-5 acc 41.406 (49.945)	lr 0.00011
Warmup Train [39][1690/2134]	Time 0.660 (0.631)	Data 0.003 (0.016)	Loss 4.1152 (4.1446)	Top-1 acc 26.562 (26.356)	Top-5 acc 53.125 (49.942)	lr 0.00011
Warmup Train [39][1700/2134]	Time 0.573 (0.631)	Data 0.002 (0.015)	Loss 4.1361 (4.1447)	Top-1 acc 26.953 (26.352)	Top-5 acc 48.047 (49.938)	lr 0.00011
Warmup Train [39][1710/2134]	Time 0.497 (0.630)	Data 0.002 (0.015)	Loss 4.3882 (4.1447)	Top-1 acc 25.000 (26.358)	Top-5 acc 47.266 (49.941)	lr 0.00011
Warmup Train [39][1720/2134]	Time 0.649 (0.630)	Data 0.002 (0.015)	Loss 4.1796 (4.1447)	Top-1 acc 25.391 (26.356)	Top-5 acc 51.562 (49.947)	lr 0.00011
Warmup Train [39][1730/2134]	Time 0.593 (0.630)	Data 0.002 (0.015)	Loss 4.1814 (4.1447)	Top-1 acc 26.172 (26.361)	Top-5 acc 48.047 (49.935)	lr 0.00011
Warmup Train [39][1740/2134]	Time 0.510 (0.630)	Data 0.003 (0.015)	Loss 4.0950 (4.1443)	Top-1 acc 26.953 (26.361)	Top-5 acc 53.125 (49.942)	lr 0.00011
Warmup Train [39][1750/2134]	Time 0.719 (0.630)	Data 0.002 (0.015)	Loss 4.0947 (4.1442)	Top-1 acc 30.469 (26.361)	Top-5 acc 51.562 (49.946)	lr 0.00011
Warmup Train [39][1760/2134]	Time 0.564 (0.630)	Data 0.002 (0.015)	Loss 4.1049 (4.1443)	Top-1 acc 25.391 (26.360)	Top-5 acc 50.781 (49.943)	lr 0.00011
Warmup Train [39][1770/2134]	Time 0.638 (0.630)	Data 0.003 (0.015)	Loss 4.2099 (4.1443)	Top-1 acc 27.344 (26.362)	Top-5 acc 47.266 (49.941)	lr 0.00011
Warmup Train [39][1780/2134]	Time 0.493 (0.630)	Data 0.002 (0.015)	Loss 4.1553 (4.1443)	Top-1 acc 24.219 (26.363)	Top-5 acc 49.609 (49.933)	lr 0.00010
Warmup Train [39][1790/2134]	Time 0.568 (0.629)	Data 0.002 (0.015)	Loss 4.0607 (4.1444)	Top-1 acc 29.297 (26.364)	Top-5 acc 53.906 (49.932)	lr 0.00010
Warmup Train [39][1800/2134]	Time 0.428 (0.629)	Data 0.002 (0.015)	Loss 4.1699 (4.1446)	Top-1 acc 24.219 (26.359)	Top-5 acc 46.875 (49.931)	lr 0.00010
Warmup Train [39][1810/2134]	Time 0.622 (0.629)	Data 0.002 (0.015)	Loss 4.2280 (4.1451)	Top-1 acc 21.094 (26.355)	Top-5 acc 45.703 (49.923)	lr 0.00010
Warmup Train [39][1820/2134]	Time 0.592 (0.629)	Data 0.002 (0.015)	Loss 4.0089 (4.1451)	Top-1 acc 30.859 (26.355)	Top-5 acc 55.469 (49.924)	lr 0.00010
Warmup Train [39][1830/2134]	Time 0.745 (0.629)	Data 0.002 (0.015)	Loss 4.0514 (4.1449)	Top-1 acc 30.078 (26.358)	Top-5 acc 52.344 (49.931)	lr 0.00010
Warmup Train [39][1840/2134]	Time 0.689 (0.628)	Data 0.002 (0.015)	Loss 4.1591 (4.1448)	Top-1 acc 30.078 (26.362)	Top-5 acc 54.297 (49.941)	lr 0.00010
Warmup Train [39][1850/2134]	Time 0.640 (0.628)	Data 0.002 (0.015)	Loss 4.2516 (4.1448)	Top-1 acc 25.391 (26.367)	Top-5 acc 45.703 (49.941)	lr 0.00010
Warmup Train [39][1860/2134]	Time 0.458 (0.628)	Data 0.002 (0.015)	Loss 4.2189 (4.1449)	Top-1 acc 27.734 (26.370)	Top-5 acc 46.094 (49.938)	lr 0.00010
Warmup Train [39][1870/2134]	Time 4.240 (0.630)	Data 0.002 (0.015)	Loss 4.1202 (4.1448)	Top-1 acc 27.734 (26.375)	Top-5 acc 51.562 (49.942)	lr 0.00010
Warmup Train [39][1880/2134]	Time 0.578 (0.630)	Data 0.002 (0.015)	Loss 4.1671 (4.1449)	Top-1 acc 26.562 (26.373)	Top-5 acc 50.000 (49.943)	lr 0.00010
Warmup Train [39][1890/2134]	Time 0.644 (0.630)	Data 0.002 (0.015)	Loss 4.0170 (4.1447)	Top-1 acc 26.953 (26.371)	Top-5 acc 50.000 (49.945)	lr 0.00010
Warmup Train [39][1900/2134]	Time 0.630 (0.630)	Data 0.002 (0.015)	Loss 4.0804 (4.1449)	Top-1 acc 25.781 (26.368)	Top-5 acc 50.781 (49.945)	lr 0.00009
Warmup Train [39][1910/2134]	Time 0.514 (0.630)	Data 0.002 (0.015)	Loss 4.0501 (4.1449)	Top-1 acc 29.688 (26.364)	Top-5 acc 52.734 (49.949)	lr 0.00009
Warmup Train [39][1920/2134]	Time 0.558 (0.630)	Data 0.002 (0.015)	Loss 3.9774 (4.1449)	Top-1 acc 26.562 (26.356)	Top-5 acc 59.375 (49.947)	lr 0.00009
Warmup Train [39][1930/2134]	Time 0.458 (0.630)	Data 0.002 (0.015)	Loss 4.0977 (4.1449)	Top-1 acc 26.953 (26.357)	Top-5 acc 51.172 (49.950)	lr 0.00009
Warmup Train [39][1940/2134]	Time 0.511 (0.629)	Data 0.002 (0.015)	Loss 4.0630 (4.1446)	Top-1 acc 27.344 (26.363)	Top-5 acc 51.172 (49.955)	lr 0.00009
Warmup Train [39][1950/2134]	Time 0.563 (0.629)	Data 0.002 (0.015)	Loss 4.2031 (4.1444)	Top-1 acc 25.781 (26.365)	Top-5 acc 50.000 (49.955)	lr 0.00009
Warmup Train [39][1960/2134]	Time 0.492 (0.629)	Data 0.004 (0.014)	Loss 3.9540 (4.1441)	Top-1 acc 29.688 (26.375)	Top-5 acc 54.297 (49.965)	lr 0.00009
Warmup Train [39][1970/2134]	Time 0.496 (0.629)	Data 0.002 (0.014)	Loss 4.3044 (4.1441)	Top-1 acc 19.922 (26.378)	Top-5 acc 45.312 (49.967)	lr 0.00009
Warmup Train [39][1980/2134]	Time 0.630 (0.629)	Data 0.003 (0.015)	Loss 4.0490 (4.1442)	Top-1 acc 30.859 (26.374)	Top-5 acc 53.125 (49.973)	lr 0.00009
Warmup Train [39][1990/2134]	Time 0.531 (0.629)	Data 0.004 (0.014)	Loss 4.4332 (4.1444)	Top-1 acc 20.703 (26.369)	Top-5 acc 45.312 (49.968)	lr 0.00009
Warmup Train [39][2000/2134]	Time 0.594 (0.629)	Data 0.002 (0.014)	Loss 4.2967 (4.1444)	Top-1 acc 22.656 (26.370)	Top-5 acc 46.875 (49.970)	lr 0.00009
Warmup Train [39][2010/2134]	Time 0.519 (0.628)	Data 0.002 (0.014)	Loss 4.1619 (4.1443)	Top-1 acc 23.828 (26.375)	Top-5 acc 46.484 (49.969)	lr 0.00009
Warmup Train [39][2020/2134]	Time 0.430 (0.628)	Data 0.002 (0.014)	Loss 4.1172 (4.1445)	Top-1 acc 24.609 (26.373)	Top-5 acc 48.438 (49.965)	lr 0.00009
Warmup Train [39][2030/2134]	Time 0.622 (0.628)	Data 0.002 (0.014)	Loss 4.2113 (4.1446)	Top-1 acc 21.875 (26.368)	Top-5 acc 45.703 (49.963)	lr 0.00008
Warmup Train [39][2040/2134]	Time 0.525 (0.628)	Data 0.003 (0.014)	Loss 4.2455 (4.1442)	Top-1 acc 26.562 (26.380)	Top-5 acc 48.047 (49.975)	lr 0.00008
Warmup Train [39][2050/2134]	Time 0.599 (0.628)	Data 0.002 (0.014)	Loss 4.2505 (4.1441)	Top-1 acc 25.781 (26.382)	Top-5 acc 48.828 (49.980)	lr 0.00008
Warmup Train [39][2060/2134]	Time 0.759 (0.628)	Data 0.002 (0.014)	Loss 4.1148 (4.1443)	Top-1 acc 26.172 (26.375)	Top-5 acc 53.516 (49.970)	lr 0.00008
Warmup Train [39][2070/2134]	Time 0.619 (0.628)	Data 0.002 (0.014)	Loss 4.0915 (4.1443)	Top-1 acc 31.250 (26.377)	Top-5 acc 49.609 (49.972)	lr 0.00008
Warmup Train [39][2080/2134]	Time 0.640 (0.627)	Data 0.000 (0.014)	Loss 4.1379 (4.1442)	Top-1 acc 25.781 (26.377)	Top-5 acc 48.828 (49.973)	lr 0.00008
Warmup Train [39][2090/2134]	Time 0.643 (0.627)	Data 0.000 (0.014)	Loss 4.1431 (4.1442)	Top-1 acc 27.344 (26.379)	Top-5 acc 46.094 (49.970)	lr 0.00008
Warmup Train [39][2100/2134]	Time 0.540 (0.627)	Data 0.000 (0.014)	Loss 4.1198 (4.1442)	Top-1 acc 22.266 (26.378)	Top-5 acc 45.703 (49.971)	lr 0.00008
Warmup Train [39][2110/2134]	Time 0.446 (0.627)	Data 0.000 (0.014)	Loss 4.2580 (4.1441)	Top-1 acc 21.484 (26.376)	Top-5 acc 46.875 (49.970)	lr 0.00008
Warmup Train [39][2120/2134]	Time 0.582 (0.627)	Data 0.000 (0.014)	Loss 4.0953 (4.1439)	Top-1 acc 24.609 (26.378)	Top-5 acc 50.000 (49.970)	lr 0.00008
Warmup Train [39][2130/2134]	Time 0.647 (0.627)	Data 0.000 (0.014)	Loss 4.2530 (4.1439)	Top-1 acc 26.172 (26.379)	Top-5 acc 48.047 (49.972)	lr 0.00008
Warmup Train [39][2134/2134]	Time 0.570 (0.627)	Data 0.000 (0.014)	Loss 4.0438 (4.1438)	Top-1 acc 28.877 (26.381)	Top-5 acc 52.941 (49.972)	lr 0.00008
==========Warmup Valid [39/40]	loss 3.153	top-1 acc 33.694	top-5 acc 59.392	Train top-1 26.381	top-5 49.972	flops: 442.4M
Warmup Train [40][0/2134]	Time 15.726 (15.726)	Data 13.913 (13.913)	Loss 3.9321 (3.9321)	Top-1 acc 34.766 (34.766)	Top-5 acc 54.297 (54.297)	lr 0.00008
Warmup Train [40][10/2134]	Time 0.704 (2.135)	Data 0.002 (1.278)	Loss 4.1083 (4.1754)	Top-1 acc 28.125 (27.344)	Top-5 acc 51.953 (49.609)	lr 0.00008
Warmup Train [40][20/2134]	Time 0.527 (1.405)	Data 0.002 (0.671)	Loss 4.1299 (4.1811)	Top-1 acc 26.953 (26.395)	Top-5 acc 48.438 (49.330)	lr 0.00008
Warmup Train [40][30/2134]	Time 0.704 (1.155)	Data 0.004 (0.459)	Loss 4.0176 (4.1579)	Top-1 acc 32.812 (26.802)	Top-5 acc 54.297 (49.773)	lr 0.00007
Warmup Train [40][40/2134]	Time 0.724 (1.026)	Data 0.003 (0.348)	Loss 4.3175 (4.1615)	Top-1 acc 21.094 (26.391)	Top-5 acc 45.312 (49.686)	lr 0.00007
Warmup Train [40][50/2134]	Time 0.685 (0.945)	Data 0.002 (0.280)	Loss 3.9867 (4.1465)	Top-1 acc 26.562 (26.463)	Top-5 acc 50.781 (49.809)	lr 0.00007
Warmup Train [40][60/2134]	Time 0.583 (0.893)	Data 0.004 (0.235)	Loss 4.3002 (4.1460)	Top-1 acc 22.656 (26.415)	Top-5 acc 42.578 (49.808)	lr 0.00007
Warmup Train [40][70/2134]	Time 0.659 (0.856)	Data 0.002 (0.203)	Loss 4.1532 (4.1498)	Top-1 acc 23.047 (26.210)	Top-5 acc 50.391 (49.587)	lr 0.00007
Warmup Train [40][80/2134]	Time 0.638 (0.827)	Data 0.002 (0.178)	Loss 4.2948 (4.1541)	Top-1 acc 21.484 (26.167)	Top-5 acc 44.531 (49.426)	lr 0.00007
Warmup Train [40][90/2134]	Time 0.660 (0.857)	Data 0.002 (0.160)	Loss 4.2023 (4.1517)	Top-1 acc 25.391 (26.232)	Top-5 acc 48.438 (49.545)	lr 0.00007
Warmup Train [40][100/2134]	Time 0.629 (0.829)	Data 0.002 (0.144)	Loss 3.9177 (4.1501)	Top-1 acc 32.031 (26.365)	Top-5 acc 55.078 (49.575)	lr 0.00007
Warmup Train [40][110/2134]	Time 0.587 (0.809)	Data 0.004 (0.132)	Loss 4.1499 (4.1488)	Top-1 acc 27.734 (26.387)	Top-5 acc 49.609 (49.669)	lr 0.00007
Warmup Train [40][120/2134]	Time 0.578 (0.792)	Data 0.002 (0.123)	Loss 4.2924 (4.1525)	Top-1 acc 24.219 (26.343)	Top-5 acc 45.703 (49.580)	lr 0.00007
Warmup Train [40][130/2134]	Time 0.546 (0.776)	Data 0.003 (0.113)	Loss 4.1117 (4.1512)	Top-1 acc 28.125 (26.354)	Top-5 acc 49.609 (49.672)	lr 0.00007
Warmup Train [40][140/2134]	Time 0.659 (0.766)	Data 0.003 (0.106)	Loss 3.9771 (4.1471)	Top-1 acc 29.688 (26.416)	Top-5 acc 53.125 (49.729)	lr 0.00007
Warmup Train [40][150/2134]	Time 0.658 (0.756)	Data 0.002 (0.099)	Loss 4.1940 (4.1482)	Top-1 acc 21.875 (26.366)	Top-5 acc 51.953 (49.731)	lr 0.00007
Warmup Train [40][160/2134]	Time 0.637 (0.747)	Data 0.002 (0.093)	Loss 4.3896 (4.1497)	Top-1 acc 21.875 (26.310)	Top-5 acc 42.578 (49.665)	lr 0.00007
Warmup Train [40][170/2134]	Time 0.525 (0.741)	Data 0.002 (0.088)	Loss 4.0038 (4.1505)	Top-1 acc 29.297 (26.254)	Top-5 acc 54.297 (49.630)	lr 0.00007
Warmup Train [40][180/2134]	Time 0.649 (0.735)	Data 0.002 (0.084)	Loss 4.1863 (4.1510)	Top-1 acc 25.391 (26.219)	Top-5 acc 49.219 (49.674)	lr 0.00006
Warmup Train [40][190/2134]	Time 0.654 (0.730)	Data 0.002 (0.080)	Loss 4.1276 (4.1485)	Top-1 acc 23.438 (26.229)	Top-5 acc 50.000 (49.765)	lr 0.00006
Warmup Train [40][200/2134]	Time 0.635 (0.724)	Data 0.002 (0.076)	Loss 4.0408 (4.1459)	Top-1 acc 29.297 (26.263)	Top-5 acc 51.953 (49.808)	lr 0.00006
Warmup Train [40][210/2134]	Time 0.626 (0.719)	Data 0.003 (0.073)	Loss 4.0695 (4.1456)	Top-1 acc 26.562 (26.289)	Top-5 acc 52.344 (49.833)	lr 0.00006
Warmup Train [40][220/2134]	Time 0.617 (0.715)	Data 0.002 (0.070)	Loss 4.1176 (4.1434)	Top-1 acc 26.953 (26.324)	Top-5 acc 47.656 (49.864)	lr 0.00006
Warmup Train [40][230/2134]	Time 0.494 (0.710)	Data 0.002 (0.067)	Loss 4.1343 (4.1431)	Top-1 acc 28.906 (26.375)	Top-5 acc 53.516 (49.924)	lr 0.00006
Warmup Train [40][240/2134]	Time 0.672 (0.706)	Data 0.003 (0.065)	Loss 4.1728 (4.1419)	Top-1 acc 26.172 (26.391)	Top-5 acc 48.828 (49.964)	lr 0.00006
Warmup Train [40][250/2134]	Time 0.650 (0.702)	Data 0.002 (0.062)	Loss 4.2319 (4.1417)	Top-1 acc 26.562 (26.393)	Top-5 acc 46.484 (49.981)	lr 0.00006
Warmup Train [40][260/2134]	Time 0.625 (0.699)	Data 0.002 (0.060)	Loss 4.1262 (4.1402)	Top-1 acc 24.609 (26.372)	Top-5 acc 49.609 (50.012)	lr 0.00006
Warmup Train [40][270/2134]	Time 0.617 (0.696)	Data 0.002 (0.058)	Loss 4.2696 (4.1414)	Top-1 acc 21.484 (26.362)	Top-5 acc 48.047 (49.999)	lr 0.00006
Warmup Train [40][280/2134]	Time 0.584 (0.693)	Data 0.002 (0.056)	Loss 4.0892 (4.1438)	Top-1 acc 28.906 (26.340)	Top-5 acc 47.266 (49.899)	lr 0.00006
Warmup Train [40][290/2134]	Time 0.790 (0.690)	Data 0.003 (0.054)	Loss 3.9761 (4.1413)	Top-1 acc 32.812 (26.407)	Top-5 acc 53.125 (49.945)	lr 0.00006
Warmup Train [40][300/2134]	Time 0.690 (0.688)	Data 0.002 (0.053)	Loss 4.1496 (4.1410)	Top-1 acc 25.391 (26.404)	Top-5 acc 47.656 (49.934)	lr 0.00006
Warmup Train [40][310/2134]	Time 0.601 (0.685)	Data 0.002 (0.051)	Loss 4.2158 (4.1394)	Top-1 acc 25.391 (26.444)	Top-5 acc 47.266 (49.967)	lr 0.00006
Warmup Train [40][320/2134]	Time 0.700 (0.683)	Data 0.002 (0.050)	Loss 4.3146 (4.1427)	Top-1 acc 26.172 (26.409)	Top-5 acc 43.359 (49.859)	lr 0.00006
Warmup Train [40][330/2134]	Time 0.767 (0.680)	Data 0.003 (0.049)	Loss 4.1948 (4.1419)	Top-1 acc 27.344 (26.452)	Top-5 acc 49.609 (49.880)	lr 0.00006
Warmup Train [40][340/2134]	Time 0.765 (0.678)	Data 0.002 (0.047)	Loss 4.2671 (4.1411)	Top-1 acc 30.078 (26.466)	Top-5 acc 49.609 (49.903)	lr 0.00005
Warmup Train [40][350/2134]	Time 0.559 (0.676)	Data 0.002 (0.046)	Loss 4.2201 (4.1403)	Top-1 acc 28.516 (26.480)	Top-5 acc 50.781 (49.942)	lr 0.00005
Warmup Train [40][360/2134]	Time 0.616 (0.675)	Data 0.002 (0.045)	Loss 4.2840 (4.1408)	Top-1 acc 24.219 (26.465)	Top-5 acc 45.703 (49.944)	lr 0.00005
Warmup Train [40][370/2134]	Time 0.624 (0.673)	Data 0.002 (0.044)	Loss 3.9873 (4.1393)	Top-1 acc 28.125 (26.482)	Top-5 acc 55.078 (49.981)	lr 0.00005
Warmup Train [40][380/2134]	Time 0.507 (0.672)	Data 0.003 (0.043)	Loss 4.0907 (4.1384)	Top-1 acc 25.000 (26.520)	Top-5 acc 53.516 (50.014)	lr 0.00005
Warmup Train [40][390/2134]	Time 0.547 (0.670)	Data 0.004 (0.042)	Loss 3.9973 (4.1380)	Top-1 acc 27.734 (26.519)	Top-5 acc 50.781 (50.000)	lr 0.00005
Warmup Train [40][400/2134]	Time 0.612 (0.669)	Data 0.002 (0.041)	Loss 4.0183 (4.1376)	Top-1 acc 28.516 (26.551)	Top-5 acc 57.812 (50.039)	lr 0.00005
Warmup Train [40][410/2134]	Time 0.579 (0.668)	Data 0.002 (0.040)	Loss 4.1376 (4.1384)	Top-1 acc 24.609 (26.528)	Top-5 acc 50.781 (50.024)	lr 0.00005
Warmup Train [40][420/2134]	Time 0.425 (0.666)	Data 0.004 (0.040)	Loss 4.3708 (4.1407)	Top-1 acc 25.391 (26.488)	Top-5 acc 44.531 (49.999)	lr 0.00005
Warmup Train [40][430/2134]	Time 0.512 (0.665)	Data 0.003 (0.039)	Loss 4.2810 (4.1412)	Top-1 acc 23.828 (26.489)	Top-5 acc 48.828 (49.982)	lr 0.00005
Warmup Train [40][440/2134]	Time 0.620 (0.664)	Data 0.003 (0.039)	Loss 3.9975 (4.1403)	Top-1 acc 30.469 (26.493)	Top-5 acc 53.906 (50.020)	lr 0.00005
Warmup Train [40][450/2134]	Time 0.707 (0.662)	Data 0.004 (0.038)	Loss 4.1547 (4.1404)	Top-1 acc 24.219 (26.475)	Top-5 acc 50.781 (50.012)	lr 0.00005
Warmup Train [40][460/2134]	Time 0.665 (0.670)	Data 0.002 (0.037)	Loss 4.3875 (4.1404)	Top-1 acc 22.656 (26.437)	Top-5 acc 44.141 (50.016)	lr 0.00005
Warmup Train [40][470/2134]	Time 0.655 (0.669)	Data 0.002 (0.036)	Loss 4.1591 (4.1396)	Top-1 acc 25.781 (26.435)	Top-5 acc 50.781 (50.021)	lr 0.00005
Warmup Train [40][480/2134]	Time 0.567 (0.668)	Data 0.002 (0.036)	Loss 4.0224 (4.1393)	Top-1 acc 28.125 (26.454)	Top-5 acc 56.250 (50.038)	lr 0.00005
Warmup Train [40][490/2134]	Time 0.711 (0.667)	Data 0.005 (0.035)	Loss 4.2812 (4.1392)	Top-1 acc 22.656 (26.454)	Top-5 acc 44.141 (50.056)	lr 0.00005
Warmup Train [40][500/2134]	Time 0.575 (0.665)	Data 0.002 (0.034)	Loss 4.0707 (4.1387)	Top-1 acc 26.172 (26.480)	Top-5 acc 50.000 (50.066)	lr 0.00005
Warmup Train [40][510/2134]	Time 0.665 (0.665)	Data 0.002 (0.034)	Loss 4.0313 (4.1375)	Top-1 acc 28.125 (26.500)	Top-5 acc 52.734 (50.097)	lr 0.00004
Warmup Train [40][520/2134]	Time 0.531 (0.663)	Data 0.002 (0.033)	Loss 4.0328 (4.1374)	Top-1 acc 30.859 (26.533)	Top-5 acc 53.906 (50.112)	lr 0.00004
Warmup Train [40][530/2134]	Time 0.502 (0.661)	Data 0.003 (0.033)	Loss 4.1506 (4.1370)	Top-1 acc 26.562 (26.535)	Top-5 acc 51.172 (50.138)	lr 0.00004
Warmup Train [40][540/2134]	Time 0.666 (0.661)	Data 0.002 (0.032)	Loss 4.1084 (4.1363)	Top-1 acc 21.875 (26.557)	Top-5 acc 49.609 (50.155)	lr 0.00004
Warmup Train [40][550/2134]	Time 0.653 (0.660)	Data 0.002 (0.032)	Loss 3.9923 (4.1368)	Top-1 acc 26.953 (26.545)	Top-5 acc 53.125 (50.136)	lr 0.00004
Warmup Train [40][560/2134]	Time 0.562 (0.659)	Data 0.002 (0.031)	Loss 4.0344 (4.1370)	Top-1 acc 27.344 (26.551)	Top-5 acc 49.609 (50.120)	lr 0.00004
Warmup Train [40][570/2134]	Time 0.502 (0.658)	Data 0.003 (0.031)	Loss 4.0370 (4.1366)	Top-1 acc 27.344 (26.541)	Top-5 acc 53.906 (50.121)	lr 0.00004
Warmup Train [40][580/2134]	Time 0.635 (0.658)	Data 0.002 (0.031)	Loss 4.3973 (4.1365)	Top-1 acc 21.484 (26.531)	Top-5 acc 43.750 (50.126)	lr 0.00004
Warmup Train [40][590/2134]	Time 0.609 (0.657)	Data 0.002 (0.030)	Loss 4.0767 (4.1356)	Top-1 acc 28.125 (26.561)	Top-5 acc 53.906 (50.151)	lr 0.00004
Warmup Train [40][600/2134]	Time 0.671 (0.656)	Data 0.002 (0.030)	Loss 4.1385 (4.1361)	Top-1 acc 26.562 (26.562)	Top-5 acc 50.000 (50.141)	lr 0.00004
Warmup Train [40][610/2134]	Time 0.669 (0.656)	Data 0.002 (0.029)	Loss 3.9947 (4.1371)	Top-1 acc 28.125 (26.565)	Top-5 acc 51.562 (50.134)	lr 0.00004
Warmup Train [40][620/2134]	Time 0.610 (0.656)	Data 0.002 (0.029)	Loss 4.1825 (4.1370)	Top-1 acc 26.172 (26.575)	Top-5 acc 49.609 (50.130)	lr 0.00004
Warmup Train [40][630/2134]	Time 0.649 (0.655)	Data 0.002 (0.029)	Loss 4.0525 (4.1375)	Top-1 acc 28.125 (26.567)	Top-5 acc 48.828 (50.110)	lr 0.00004
Warmup Train [40][640/2134]	Time 0.650 (0.654)	Data 0.003 (0.028)	Loss 4.1487 (4.1379)	Top-1 acc 24.219 (26.561)	Top-5 acc 48.828 (50.114)	lr 0.00004
Warmup Train [40][650/2134]	Time 0.505 (0.653)	Data 0.002 (0.028)	Loss 4.1370 (4.1376)	Top-1 acc 26.562 (26.572)	Top-5 acc 50.000 (50.116)	lr 0.00004
Warmup Train [40][660/2134]	Time 0.591 (0.653)	Data 0.003 (0.028)	Loss 4.1339 (4.1383)	Top-1 acc 26.953 (26.562)	Top-5 acc 51.953 (50.098)	lr 0.00004
Warmup Train [40][670/2134]	Time 0.615 (0.652)	Data 0.024 (0.028)	Loss 4.2854 (4.1388)	Top-1 acc 19.531 (26.550)	Top-5 acc 45.312 (50.083)	lr 0.00004
Warmup Train [40][680/2134]	Time 0.669 (0.652)	Data 0.002 (0.027)	Loss 4.2724 (4.1398)	Top-1 acc 22.266 (26.536)	Top-5 acc 49.609 (50.057)	lr 0.00004
Warmup Train [40][690/2134]	Time 0.755 (0.651)	Data 0.005 (0.027)	Loss 4.2622 (4.1401)	Top-1 acc 25.391 (26.533)	Top-5 acc 46.875 (50.037)	lr 0.00004
Warmup Train [40][700/2134]	Time 0.643 (0.651)	Data 0.003 (0.027)	Loss 4.0949 (4.1403)	Top-1 acc 26.172 (26.511)	Top-5 acc 55.078 (50.051)	lr 0.00003
Warmup Train [40][710/2134]	Time 0.315 (0.650)	Data 0.002 (0.026)	Loss 4.0527 (4.1397)	Top-1 acc 24.609 (26.515)	Top-5 acc 50.391 (50.059)	lr 0.00003
Warmup Train [40][720/2134]	Time 0.470 (0.649)	Data 0.003 (0.026)	Loss 4.1306 (4.1402)	Top-1 acc 29.297 (26.510)	Top-5 acc 54.297 (50.045)	lr 0.00003
Warmup Train [40][730/2134]	Time 0.660 (0.648)	Data 0.003 (0.026)	Loss 4.0574 (4.1398)	Top-1 acc 29.688 (26.523)	Top-5 acc 48.828 (50.045)	lr 0.00003
Warmup Train [40][740/2134]	Time 0.693 (0.648)	Data 0.002 (0.026)	Loss 4.0265 (4.1393)	Top-1 acc 28.125 (26.534)	Top-5 acc 52.734 (50.057)	lr 0.00003
Warmup Train [40][750/2134]	Time 0.597 (0.647)	Data 0.002 (0.025)	Loss 4.2522 (4.1399)	Top-1 acc 20.703 (26.523)	Top-5 acc 44.922 (50.043)	lr 0.00003
Warmup Train [40][760/2134]	Time 0.587 (0.647)	Data 0.002 (0.025)	Loss 4.2658 (4.1400)	Top-1 acc 28.125 (26.518)	Top-5 acc 46.094 (50.041)	lr 0.00003
Warmup Train [40][770/2134]	Time 0.517 (0.646)	Data 0.002 (0.025)	Loss 4.1697 (4.1402)	Top-1 acc 21.875 (26.519)	Top-5 acc 48.438 (50.033)	lr 0.00003
Warmup Train [40][780/2134]	Time 0.462 (0.646)	Data 0.002 (0.025)	Loss 4.2329 (4.1401)	Top-1 acc 22.656 (26.514)	Top-5 acc 49.219 (50.031)	lr 0.00003
Warmup Train [40][790/2134]	Time 0.611 (0.646)	Data 0.002 (0.025)	Loss 4.1719 (4.1405)	Top-1 acc 26.953 (26.514)	Top-5 acc 46.875 (50.018)	lr 0.00003
Warmup Train [40][800/2134]	Time 0.641 (0.646)	Data 0.003 (0.024)	Loss 4.2006 (4.1403)	Top-1 acc 25.391 (26.519)	Top-5 acc 50.781 (50.034)	lr 0.00003
Warmup Train [40][810/2134]	Time 0.701 (0.645)	Data 0.002 (0.024)	Loss 4.0280 (4.1400)	Top-1 acc 28.906 (26.513)	Top-5 acc 52.734 (50.032)	lr 0.00003
Warmup Train [40][820/2134]	Time 0.513 (0.645)	Data 0.002 (0.024)	Loss 4.1059 (4.1395)	Top-1 acc 28.125 (26.523)	Top-5 acc 48.047 (50.037)	lr 0.00003
Warmup Train [40][830/2134]	Time 0.447 (0.649)	Data 0.003 (0.024)	Loss 4.2614 (4.1395)	Top-1 acc 25.781 (26.532)	Top-5 acc 48.047 (50.039)	lr 0.00003
Warmup Train [40][840/2134]	Time 0.567 (0.649)	Data 0.002 (0.024)	Loss 4.1901 (4.1393)	Top-1 acc 26.953 (26.543)	Top-5 acc 46.484 (50.042)	lr 0.00003
Warmup Train [40][850/2134]	Time 0.634 (0.649)	Data 0.002 (0.023)	Loss 4.1001 (4.1394)	Top-1 acc 26.562 (26.545)	Top-5 acc 51.172 (50.045)	lr 0.00003
Warmup Train [40][860/2134]	Time 0.426 (0.648)	Data 0.002 (0.023)	Loss 4.2525 (4.1392)	Top-1 acc 21.875 (26.538)	Top-5 acc 45.312 (50.048)	lr 0.00003
Warmup Train [40][870/2134]	Time 0.563 (0.647)	Data 0.002 (0.023)	Loss 3.9216 (4.1392)	Top-1 acc 29.297 (26.544)	Top-5 acc 54.688 (50.052)	lr 0.00003
Warmup Train [40][880/2134]	Time 0.521 (0.647)	Data 0.002 (0.023)	Loss 4.1184 (4.1393)	Top-1 acc 25.391 (26.544)	Top-5 acc 50.000 (50.040)	lr 0.00003
Warmup Train [40][890/2134]	Time 0.683 (0.646)	Data 0.003 (0.023)	Loss 4.0848 (4.1393)	Top-1 acc 28.125 (26.542)	Top-5 acc 51.953 (50.042)	lr 0.00003
Warmup Train [40][900/2134]	Time 0.506 (0.645)	Data 0.002 (0.023)	Loss 4.0920 (4.1392)	Top-1 acc 27.344 (26.550)	Top-5 acc 48.438 (50.046)	lr 0.00003
Warmup Train [40][910/2134]	Time 0.441 (0.645)	Data 0.002 (0.023)	Loss 4.2192 (4.1390)	Top-1 acc 25.391 (26.546)	Top-5 acc 47.656 (50.039)	lr 0.00003
Warmup Train [40][920/2134]	Time 0.627 (0.645)	Data 0.002 (0.023)	Loss 4.2034 (4.1390)	Top-1 acc 25.391 (26.541)	Top-5 acc 50.781 (50.044)	lr 0.00002
Warmup Train [40][930/2134]	Time 0.614 (0.645)	Data 0.002 (0.022)	Loss 4.2356 (4.1385)	Top-1 acc 26.172 (26.559)	Top-5 acc 48.828 (50.062)	lr 0.00002
Warmup Train [40][940/2134]	Time 0.605 (0.644)	Data 0.002 (0.022)	Loss 4.1500 (4.1389)	Top-1 acc 24.219 (26.550)	Top-5 acc 49.219 (50.047)	lr 0.00002
Warmup Train [40][950/2134]	Time 0.593 (0.644)	Data 0.002 (0.022)	Loss 3.9779 (4.1392)	Top-1 acc 29.297 (26.552)	Top-5 acc 51.953 (50.036)	lr 0.00002
Warmup Train [40][960/2134]	Time 0.652 (0.644)	Data 0.002 (0.022)	Loss 4.2643 (4.1393)	Top-1 acc 24.219 (26.545)	Top-5 acc 48.047 (50.048)	lr 0.00002
Warmup Train [40][970/2134]	Time 0.563 (0.643)	Data 0.003 (0.022)	Loss 4.2634 (4.1386)	Top-1 acc 23.828 (26.563)	Top-5 acc 50.000 (50.069)	lr 0.00002
Warmup Train [40][980/2134]	Time 0.642 (0.643)	Data 0.002 (0.021)	Loss 4.1299 (4.1386)	Top-1 acc 25.781 (26.571)	Top-5 acc 48.047 (50.061)	lr 0.00002
Warmup Train [40][990/2134]	Time 0.606 (0.643)	Data 0.028 (0.021)	Loss 4.2188 (4.1386)	Top-1 acc 23.438 (26.567)	Top-5 acc 48.438 (50.063)	lr 0.00002
Warmup Train [40][1000/2134]	Time 0.449 (0.643)	Data 0.004 (0.021)	Loss 4.1866 (4.1388)	Top-1 acc 23.828 (26.565)	Top-5 acc 48.047 (50.052)	lr 0.00002
Warmup Train [40][1010/2134]	Time 0.662 (0.642)	Data 0.002 (0.021)	Loss 4.1796 (4.1390)	Top-1 acc 27.734 (26.559)	Top-5 acc 48.828 (50.043)	lr 0.00002
Warmup Train [40][1020/2134]	Time 0.404 (0.642)	Data 0.002 (0.021)	Loss 4.2560 (4.1394)	Top-1 acc 23.828 (26.556)	Top-5 acc 46.875 (50.033)	lr 0.00002
Warmup Train [40][1030/2134]	Time 0.598 (0.642)	Data 0.002 (0.021)	Loss 4.1173 (4.1394)	Top-1 acc 26.172 (26.553)	Top-5 acc 50.000 (50.033)	lr 0.00002
Warmup Train [40][1040/2134]	Time 0.455 (0.641)	Data 0.002 (0.021)	Loss 4.1751 (4.1394)	Top-1 acc 26.172 (26.566)	Top-5 acc 51.562 (50.039)	lr 0.00002
Warmup Train [40][1050/2134]	Time 0.560 (0.641)	Data 0.002 (0.021)	Loss 4.2309 (4.1396)	Top-1 acc 26.562 (26.555)	Top-5 acc 46.484 (50.020)	lr 0.00002
Warmup Train [40][1060/2134]	Time 0.633 (0.641)	Data 0.002 (0.021)	Loss 4.2393 (4.1394)	Top-1 acc 24.219 (26.560)	Top-5 acc 49.219 (50.040)	lr 0.00002
Warmup Train [40][1070/2134]	Time 0.422 (0.640)	Data 0.002 (0.020)	Loss 4.2825 (4.1394)	Top-1 acc 22.266 (26.556)	Top-5 acc 45.312 (50.036)	lr 0.00002
Warmup Train [40][1080/2134]	Time 0.477 (0.640)	Data 0.002 (0.020)	Loss 4.3132 (4.1395)	Top-1 acc 24.609 (26.548)	Top-5 acc 44.141 (50.028)	lr 0.00002
Warmup Train [40][1090/2134]	Time 0.512 (0.640)	Data 0.003 (0.020)	Loss 4.0662 (4.1390)	Top-1 acc 27.734 (26.556)	Top-5 acc 52.344 (50.041)	lr 0.00002
Warmup Train [40][1100/2134]	Time 0.671 (0.639)	Data 0.002 (0.020)	Loss 4.1520 (4.1391)	Top-1 acc 23.438 (26.542)	Top-5 acc 47.656 (50.038)	lr 0.00002
Warmup Train [40][1110/2134]	Time 0.454 (0.639)	Data 0.002 (0.020)	Loss 4.0120 (4.1394)	Top-1 acc 30.859 (26.545)	Top-5 acc 53.516 (50.028)	lr 0.00002
Warmup Train [40][1120/2134]	Time 0.497 (0.639)	Data 0.002 (0.020)	Loss 4.1304 (4.1389)	Top-1 acc 26.953 (26.545)	Top-5 acc 52.734 (50.030)	lr 0.00002
Warmup Train [40][1130/2134]	Time 0.701 (0.639)	Data 0.002 (0.020)	Loss 4.2593 (4.1388)	Top-1 acc 24.609 (26.549)	Top-5 acc 48.047 (50.029)	lr 0.00002
Warmup Train [40][1140/2134]	Time 0.700 (0.639)	Data 0.003 (0.020)	Loss 4.2161 (4.1389)	Top-1 acc 22.266 (26.547)	Top-5 acc 42.969 (50.023)	lr 0.00002
Warmup Train [40][1150/2134]	Time 0.533 (0.638)	Data 0.002 (0.020)	Loss 4.1269 (4.1390)	Top-1 acc 28.906 (26.546)	Top-5 acc 51.953 (50.020)	lr 0.00002
Warmup Train [40][1160/2134]	Time 0.620 (0.638)	Data 0.002 (0.020)	Loss 3.9519 (4.1387)	Top-1 acc 32.422 (26.555)	Top-5 acc 56.250 (50.027)	lr 0.00002
Warmup Train [40][1170/2134]	Time 0.539 (0.638)	Data 0.003 (0.019)	Loss 4.2261 (4.1391)	Top-1 acc 26.562 (26.552)	Top-5 acc 48.828 (50.020)	lr 0.00002
Warmup Train [40][1180/2134]	Time 0.662 (0.638)	Data 0.002 (0.019)	Loss 4.0687 (4.1390)	Top-1 acc 28.516 (26.561)	Top-5 acc 53.906 (50.033)	lr 0.00002
Warmup Train [40][1190/2134]	Time 0.671 (0.638)	Data 0.002 (0.019)	Loss 4.0212 (4.1388)	Top-1 acc 30.078 (26.570)	Top-5 acc 51.172 (50.032)	lr 0.00002
Warmup Train [40][1200/2134]	Time 0.484 (0.638)	Data 0.003 (0.019)	Loss 4.0033 (4.1386)	Top-1 acc 26.953 (26.576)	Top-5 acc 55.078 (50.038)	lr 0.00001
Warmup Train [40][1210/2134]	Time 0.445 (0.641)	Data 0.003 (0.019)	Loss 4.1263 (4.1388)	Top-1 acc 28.125 (26.569)	Top-5 acc 51.953 (50.035)	lr 0.00001
Warmup Train [40][1220/2134]	Time 0.722 (0.641)	Data 0.002 (0.019)	Loss 4.0408 (4.1392)	Top-1 acc 26.562 (26.556)	Top-5 acc 55.078 (50.022)	lr 0.00001
Warmup Train [40][1230/2134]	Time 0.462 (0.641)	Data 0.002 (0.019)	Loss 4.1178 (4.1390)	Top-1 acc 23.047 (26.554)	Top-5 acc 51.562 (50.019)	lr 0.00001
Warmup Train [40][1240/2134]	Time 0.697 (0.641)	Data 0.002 (0.019)	Loss 3.9748 (4.1386)	Top-1 acc 26.172 (26.562)	Top-5 acc 52.344 (50.023)	lr 0.00001
Warmup Train [40][1250/2134]	Time 0.550 (0.640)	Data 0.002 (0.019)	Loss 4.1859 (4.1386)	Top-1 acc 25.000 (26.567)	Top-5 acc 50.000 (50.028)	lr 0.00001
Warmup Train [40][1260/2134]	Time 0.652 (0.640)	Data 0.002 (0.019)	Loss 4.1545 (4.1387)	Top-1 acc 20.312 (26.558)	Top-5 acc 51.172 (50.029)	lr 0.00001
Warmup Train [40][1270/2134]	Time 0.472 (0.640)	Data 0.002 (0.019)	Loss 4.2629 (4.1391)	Top-1 acc 21.875 (26.550)	Top-5 acc 49.219 (50.023)	lr 0.00001
Warmup Train [40][1280/2134]	Time 0.646 (0.639)	Data 0.003 (0.018)	Loss 4.0346 (4.1389)	Top-1 acc 29.297 (26.548)	Top-5 acc 53.516 (50.033)	lr 0.00001
Warmup Train [40][1290/2134]	Time 0.685 (0.639)	Data 0.002 (0.018)	Loss 3.9155 (4.1385)	Top-1 acc 30.859 (26.556)	Top-5 acc 58.594 (50.043)	lr 0.00001
Warmup Train [40][1300/2134]	Time 0.481 (0.639)	Data 0.003 (0.018)	Loss 4.1283 (4.1386)	Top-1 acc 23.828 (26.546)	Top-5 acc 52.734 (50.038)	lr 0.00001
Warmup Train [40][1310/2134]	Time 0.611 (0.639)	Data 0.002 (0.018)	Loss 4.1900 (4.1388)	Top-1 acc 28.125 (26.544)	Top-5 acc 51.562 (50.034)	lr 0.00001
Warmup Train [40][1320/2134]	Time 0.646 (0.638)	Data 0.003 (0.018)	Loss 3.9771 (4.1390)	Top-1 acc 32.031 (26.547)	Top-5 acc 52.344 (50.032)	lr 0.00001
Warmup Train [40][1330/2134]	Time 0.695 (0.638)	Data 0.003 (0.018)	Loss 4.3335 (4.1391)	Top-1 acc 24.609 (26.555)	Top-5 acc 48.438 (50.038)	lr 0.00001
Warmup Train [40][1340/2134]	Time 0.749 (0.638)	Data 0.002 (0.018)	Loss 4.1966 (4.1391)	Top-1 acc 23.828 (26.551)	Top-5 acc 46.094 (50.033)	lr 0.00001
Warmup Train [40][1350/2134]	Time 0.756 (0.638)	Data 0.002 (0.018)	Loss 3.9533 (4.1388)	Top-1 acc 30.469 (26.545)	Top-5 acc 57.031 (50.038)	lr 0.00001
Warmup Train [40][1360/2134]	Time 0.613 (0.638)	Data 0.002 (0.018)	Loss 4.2611 (4.1381)	Top-1 acc 27.344 (26.556)	Top-5 acc 44.531 (50.054)	lr 0.00001
Warmup Train [40][1370/2134]	Time 0.576 (0.637)	Data 0.002 (0.017)	Loss 4.2241 (4.1380)	Top-1 acc 26.953 (26.560)	Top-5 acc 49.219 (50.059)	lr 0.00001
Warmup Train [40][1380/2134]	Time 0.741 (0.637)	Data 0.002 (0.017)	Loss 4.1130 (4.1381)	Top-1 acc 26.562 (26.561)	Top-5 acc 53.906 (50.060)	lr 0.00001
Warmup Train [40][1390/2134]	Time 0.514 (0.637)	Data 0.002 (0.017)	Loss 4.1116 (4.1382)	Top-1 acc 23.438 (26.549)	Top-5 acc 48.047 (50.048)	lr 0.00001
Warmup Train [40][1400/2134]	Time 0.571 (0.637)	Data 0.002 (0.017)	Loss 4.1359 (4.1380)	Top-1 acc 29.688 (26.564)	Top-5 acc 50.391 (50.062)	lr 0.00001
Warmup Train [40][1410/2134]	Time 0.596 (0.636)	Data 0.002 (0.017)	Loss 4.2862 (4.1386)	Top-1 acc 23.047 (26.553)	Top-5 acc 48.828 (50.052)	lr 0.00001
Warmup Train [40][1420/2134]	Time 0.635 (0.636)	Data 0.002 (0.017)	Loss 4.3131 (4.1392)	Top-1 acc 18.750 (26.538)	Top-5 acc 45.703 (50.038)	lr 0.00001
Warmup Train [40][1430/2134]	Time 0.641 (0.636)	Data 0.002 (0.017)	Loss 4.3395 (4.1391)	Top-1 acc 23.047 (26.539)	Top-5 acc 46.484 (50.047)	lr 0.00001
Warmup Train [40][1440/2134]	Time 0.561 (0.636)	Data 0.002 (0.017)	Loss 4.1629 (4.1393)	Top-1 acc 27.734 (26.539)	Top-5 acc 51.172 (50.044)	lr 0.00001
Warmup Train [40][1450/2134]	Time 0.759 (0.636)	Data 0.002 (0.017)	Loss 4.0519 (4.1393)	Top-1 acc 28.125 (26.538)	Top-5 acc 52.734 (50.041)	lr 0.00001
Warmup Train [40][1460/2134]	Time 0.642 (0.635)	Data 0.002 (0.017)	Loss 4.2182 (4.1394)	Top-1 acc 25.781 (26.538)	Top-5 acc 50.391 (50.036)	lr 0.00001
Warmup Train [40][1470/2134]	Time 0.794 (0.635)	Data 0.004 (0.017)	Loss 4.0473 (4.1393)	Top-1 acc 29.688 (26.537)	Top-5 acc 53.906 (50.038)	lr 0.00001
Warmup Train [40][1480/2134]	Time 0.724 (0.635)	Data 0.002 (0.017)	Loss 4.0571 (4.1393)	Top-1 acc 22.656 (26.538)	Top-5 acc 51.953 (50.044)	lr 0.00001
Warmup Train [40][1490/2134]	Time 0.607 (0.634)	Data 0.002 (0.017)	Loss 4.2840 (4.1396)	Top-1 acc 25.000 (26.532)	Top-5 acc 46.094 (50.037)	lr 0.00001
Warmup Train [40][1500/2134]	Time 0.666 (0.634)	Data 0.003 (0.017)	Loss 4.1853 (4.1397)	Top-1 acc 25.000 (26.529)	Top-5 acc 47.656 (50.037)	lr 0.00001
Warmup Train [40][1510/2134]	Time 0.604 (0.634)	Data 0.002 (0.016)	Loss 3.9715 (4.1395)	Top-1 acc 31.250 (26.536)	Top-5 acc 54.688 (50.044)	lr 0.00001
Warmup Train [40][1520/2134]	Time 0.546 (0.634)	Data 0.002 (0.016)	Loss 4.0353 (4.1396)	Top-1 acc 26.172 (26.537)	Top-5 acc 53.516 (50.046)	lr 0.00001
Warmup Train [40][1530/2134]	Time 0.419 (0.634)	Data 0.002 (0.016)	Loss 4.1640 (4.1400)	Top-1 acc 24.609 (26.534)	Top-5 acc 47.656 (50.041)	lr 0.00001
Warmup Train [40][1540/2134]	Time 0.627 (0.633)	Data 0.002 (0.016)	Loss 4.0322 (4.1401)	Top-1 acc 31.250 (26.534)	Top-5 acc 53.906 (50.040)	lr 0.00001
Warmup Train [40][1550/2134]	Time 0.767 (0.633)	Data 0.002 (0.016)	Loss 4.2273 (4.1407)	Top-1 acc 24.609 (26.525)	Top-5 acc 46.875 (50.023)	lr 0.00001
Warmup Train [40][1560/2134]	Time 0.654 (0.633)	Data 0.002 (0.016)	Loss 4.2648 (4.1409)	Top-1 acc 28.125 (26.525)	Top-5 acc 45.703 (50.022)	lr 0.00001
Warmup Train [40][1570/2134]	Time 0.509 (0.633)	Data 0.002 (0.016)	Loss 4.2180 (4.1411)	Top-1 acc 28.516 (26.516)	Top-5 acc 48.828 (50.016)	lr 0.00001
Warmup Train [40][1580/2134]	Time 0.557 (0.633)	Data 0.002 (0.016)	Loss 4.0348 (4.1409)	Top-1 acc 26.562 (26.519)	Top-5 acc 51.562 (50.024)	lr 0.00001
Warmup Train [40][1590/2134]	Time 0.632 (0.633)	Data 0.003 (0.016)	Loss 4.0246 (4.1408)	Top-1 acc 30.469 (26.515)	Top-5 acc 52.344 (50.026)	lr 0.00001
Warmup Train [40][1600/2134]	Time 0.448 (0.635)	Data 0.002 (0.016)	Loss 4.0815 (4.1406)	Top-1 acc 25.391 (26.520)	Top-5 acc 50.391 (50.028)	lr 0.00000
Warmup Train [40][1610/2134]	Time 0.697 (0.634)	Data 0.002 (0.016)	Loss 4.0804 (4.1406)	Top-1 acc 26.172 (26.519)	Top-5 acc 53.906 (50.025)	lr 0.00000
Warmup Train [40][1620/2134]	Time 0.538 (0.634)	Data 0.002 (0.016)	Loss 4.1886 (4.1407)	Top-1 acc 22.656 (26.517)	Top-5 acc 45.312 (50.020)	lr 0.00000
Warmup Train [40][1630/2134]	Time 0.550 (0.634)	Data 0.002 (0.016)	Loss 4.4143 (4.1404)	Top-1 acc 23.828 (26.524)	Top-5 acc 41.797 (50.020)	lr 0.00000
Warmup Train [40][1640/2134]	Time 0.490 (0.634)	Data 0.002 (0.016)	Loss 4.0733 (4.1401)	Top-1 acc 28.125 (26.521)	Top-5 acc 54.688 (50.028)	lr 0.00000
Warmup Train [40][1650/2134]	Time 0.643 (0.634)	Data 0.002 (0.016)	Loss 4.1748 (4.1405)	Top-1 acc 26.953 (26.514)	Top-5 acc 48.828 (50.016)	lr 0.00000
Warmup Train [40][1660/2134]	Time 0.591 (0.634)	Data 0.002 (0.016)	Loss 4.0729 (4.1399)	Top-1 acc 30.078 (26.521)	Top-5 acc 53.906 (50.023)	lr 0.00000
Warmup Train [40][1670/2134]	Time 0.623 (0.634)	Data 0.003 (0.016)	Loss 4.2639 (4.1399)	Top-1 acc 20.703 (26.522)	Top-5 acc 46.484 (50.022)	lr 0.00000
Warmup Train [40][1680/2134]	Time 0.703 (0.633)	Data 0.004 (0.016)	Loss 4.1332 (4.1400)	Top-1 acc 24.219 (26.516)	Top-5 acc 53.516 (50.029)	lr 0.00000
Warmup Train [40][1690/2134]	Time 0.648 (0.633)	Data 0.002 (0.016)	Loss 4.2863 (4.1399)	Top-1 acc 23.828 (26.523)	Top-5 acc 44.531 (50.026)	lr 0.00000
Warmup Train [40][1700/2134]	Time 0.612 (0.633)	Data 0.002 (0.015)	Loss 4.0963 (4.1399)	Top-1 acc 31.641 (26.534)	Top-5 acc 51.953 (50.030)	lr 0.00000
Warmup Train [40][1710/2134]	Time 0.624 (0.633)	Data 0.002 (0.015)	Loss 4.0173 (4.1398)	Top-1 acc 28.906 (26.541)	Top-5 acc 54.297 (50.035)	lr 0.00000
Warmup Train [40][1720/2134]	Time 0.568 (0.633)	Data 0.002 (0.015)	Loss 4.1137 (4.1395)	Top-1 acc 27.344 (26.548)	Top-5 acc 50.781 (50.041)	lr 0.00000
Warmup Train [40][1730/2134]	Time 0.628 (0.633)	Data 0.002 (0.015)	Loss 4.2115 (4.1393)	Top-1 acc 22.656 (26.547)	Top-5 acc 47.656 (50.048)	lr 0.00000
Warmup Train [40][1740/2134]	Time 0.678 (0.633)	Data 0.002 (0.015)	Loss 4.1937 (4.1392)	Top-1 acc 25.000 (26.550)	Top-5 acc 46.875 (50.049)	lr 0.00000
Warmup Train [40][1750/2134]	Time 0.489 (0.633)	Data 0.002 (0.015)	Loss 4.1190 (4.1391)	Top-1 acc 28.125 (26.552)	Top-5 acc 50.781 (50.057)	lr 0.00000
Warmup Train [40][1760/2134]	Time 0.521 (0.632)	Data 0.002 (0.015)	Loss 4.1566 (4.1394)	Top-1 acc 25.000 (26.544)	Top-5 acc 50.391 (50.053)	lr 0.00000
Warmup Train [40][1770/2134]	Time 0.656 (0.632)	Data 0.002 (0.015)	Loss 4.1496 (4.1396)	Top-1 acc 23.438 (26.538)	Top-5 acc 49.609 (50.054)	lr 0.00000
Warmup Train [40][1780/2134]	Time 0.720 (0.632)	Data 0.002 (0.015)	Loss 4.2857 (4.1397)	Top-1 acc 26.562 (26.535)	Top-5 acc 47.266 (50.045)	lr 0.00000
Warmup Train [40][1790/2134]	Time 0.692 (0.632)	Data 0.002 (0.015)	Loss 4.1958 (4.1399)	Top-1 acc 26.953 (26.530)	Top-5 acc 51.953 (50.045)	lr 0.00000
Warmup Train [40][1800/2134]	Time 0.463 (0.632)	Data 0.002 (0.015)	Loss 4.2307 (4.1400)	Top-1 acc 25.000 (26.524)	Top-5 acc 47.266 (50.039)	lr 0.00000
Warmup Train [40][1810/2134]	Time 0.595 (0.632)	Data 0.002 (0.015)	Loss 3.9674 (4.1401)	Top-1 acc 28.125 (26.516)	Top-5 acc 52.734 (50.038)	lr 0.00000
Warmup Train [40][1820/2134]	Time 0.606 (0.632)	Data 0.002 (0.015)	Loss 4.2907 (4.1405)	Top-1 acc 21.875 (26.505)	Top-5 acc 46.875 (50.025)	lr 0.00000
Warmup Train [40][1830/2134]	Time 0.739 (0.632)	Data 0.002 (0.015)	Loss 4.2190 (4.1407)	Top-1 acc 25.781 (26.496)	Top-5 acc 47.656 (50.019)	lr 0.00000
Warmup Train [40][1840/2134]	Time 0.492 (0.631)	Data 0.002 (0.015)	Loss 4.1075 (4.1407)	Top-1 acc 25.000 (26.502)	Top-5 acc 54.297 (50.019)	lr 0.00000
Warmup Train [40][1850/2134]	Time 0.646 (0.631)	Data 0.002 (0.015)	Loss 4.0214 (4.1408)	Top-1 acc 27.734 (26.497)	Top-5 acc 50.000 (50.015)	lr 0.00000
Warmup Train [40][1860/2134]	Time 0.651 (0.631)	Data 0.002 (0.015)	Loss 4.1831 (4.1408)	Top-1 acc 27.344 (26.499)	Top-5 acc 50.000 (50.018)	lr 0.00000
Warmup Train [40][1870/2134]	Time 0.740 (0.631)	Data 0.002 (0.015)	Loss 4.0957 (4.1409)	Top-1 acc 28.516 (26.495)	Top-5 acc 51.172 (50.012)	lr 0.00000
Warmup Train [40][1880/2134]	Time 0.597 (0.631)	Data 0.002 (0.015)	Loss 4.1191 (4.1409)	Top-1 acc 26.172 (26.494)	Top-5 acc 53.516 (50.015)	lr 0.00000
Warmup Train [40][1890/2134]	Time 0.543 (0.631)	Data 0.002 (0.015)	Loss 3.8599 (4.1411)	Top-1 acc 32.031 (26.488)	Top-5 acc 56.250 (50.011)	lr 0.00000
Warmup Train [40][1900/2134]	Time 0.438 (0.631)	Data 0.003 (0.015)	Loss 4.1567 (4.1412)	Top-1 acc 27.344 (26.485)	Top-5 acc 52.344 (50.003)	lr 0.00000
Warmup Train [40][1910/2134]	Time 0.593 (0.631)	Data 0.002 (0.015)	Loss 4.3149 (4.1413)	Top-1 acc 26.562 (26.485)	Top-5 acc 46.875 (50.000)	lr 0.00000
Warmup Train [40][1920/2134]	Time 0.445 (0.630)	Data 0.002 (0.015)	Loss 4.1153 (4.1413)	Top-1 acc 29.688 (26.487)	Top-5 acc 53.125 (50.001)	lr 0.00000
Warmup Train [40][1930/2134]	Time 0.565 (0.631)	Data 0.002 (0.015)	Loss 4.1922 (4.1411)	Top-1 acc 22.656 (26.489)	Top-5 acc 47.656 (50.007)	lr 0.00000
Warmup Train [40][1940/2134]	Time 0.652 (0.630)	Data 0.002 (0.014)	Loss 4.0522 (4.1408)	Top-1 acc 26.953 (26.492)	Top-5 acc 53.906 (50.016)	lr 0.00000
Warmup Train [40][1950/2134]	Time 0.544 (0.630)	Data 0.002 (0.014)	Loss 4.1354 (4.1410)	Top-1 acc 26.172 (26.489)	Top-5 acc 51.953 (50.019)	lr 0.00000
Warmup Train [40][1960/2134]	Time 0.654 (0.630)	Data 0.002 (0.014)	Loss 4.2188 (4.1411)	Top-1 acc 25.000 (26.480)	Top-5 acc 49.219 (50.010)	lr 0.00000
Warmup Train [40][1970/2134]	Time 0.736 (0.630)	Data 0.002 (0.014)	Loss 4.1296 (4.1412)	Top-1 acc 22.266 (26.473)	Top-5 acc 48.828 (50.004)	lr 0.00000
Warmup Train [40][1980/2134]	Time 0.640 (0.632)	Data 0.002 (0.014)	Loss 4.0957 (4.1410)	Top-1 acc 28.125 (26.477)	Top-5 acc 52.344 (50.017)	lr 0.00000
Warmup Train [40][1990/2134]	Time 0.759 (0.632)	Data 0.002 (0.014)	Loss 4.0441 (4.1411)	Top-1 acc 24.219 (26.472)	Top-5 acc 54.688 (50.012)	lr 0.00000
Warmup Train [40][2000/2134]	Time 0.622 (0.632)	Data 0.002 (0.014)	Loss 4.1275 (4.1412)	Top-1 acc 27.734 (26.473)	Top-5 acc 49.219 (50.008)	lr 0.00000
Warmup Train [40][2010/2134]	Time 0.642 (0.632)	Data 0.002 (0.014)	Loss 4.1764 (4.1413)	Top-1 acc 25.391 (26.471)	Top-5 acc 51.562 (50.003)	lr 0.00000
Warmup Train [40][2020/2134]	Time 0.755 (0.632)	Data 0.002 (0.014)	Loss 4.0852 (4.1414)	Top-1 acc 28.906 (26.472)	Top-5 acc 55.078 (50.001)	lr 0.00000
Warmup Train [40][2030/2134]	Time 0.618 (0.631)	Data 0.002 (0.014)	Loss 4.3091 (4.1416)	Top-1 acc 24.609 (26.473)	Top-5 acc 44.141 (49.994)	lr 0.00000
Warmup Train [40][2040/2134]	Time 0.524 (0.631)	Data 0.002 (0.014)	Loss 4.1149 (4.1415)	Top-1 acc 27.344 (26.474)	Top-5 acc 51.562 (49.996)	lr 0.00000
Warmup Train [40][2050/2134]	Time 0.477 (0.631)	Data 0.002 (0.014)	Loss 4.0500 (4.1414)	Top-1 acc 29.688 (26.479)	Top-5 acc 54.688 (49.997)	lr 0.00000
Warmup Train [40][2060/2134]	Time 0.492 (0.631)	Data 0.003 (0.014)	Loss 4.0180 (4.1412)	Top-1 acc 32.422 (26.489)	Top-5 acc 50.000 (50.000)	lr 0.00000
Warmup Train [40][2070/2134]	Time 0.653 (0.631)	Data 0.002 (0.014)	Loss 3.9157 (4.1412)	Top-1 acc 31.250 (26.484)	Top-5 acc 53.516 (50.005)	lr 0.00000
Warmup Train [40][2080/2134]	Time 0.723 (0.631)	Data 0.000 (0.014)	Loss 4.2620 (4.1412)	Top-1 acc 25.781 (26.486)	Top-5 acc 47.266 (50.005)	lr 0.00000
Warmup Train [40][2090/2134]	Time 0.541 (0.630)	Data 0.000 (0.014)	Loss 4.1813 (4.1413)	Top-1 acc 21.875 (26.486)	Top-5 acc 48.828 (50.009)	lr 0.00000
Warmup Train [40][2100/2134]	Time 0.612 (0.630)	Data 0.000 (0.014)	Loss 4.1123 (4.1412)	Top-1 acc 24.609 (26.486)	Top-5 acc 52.734 (50.011)	lr 0.00000
Warmup Train [40][2110/2134]	Time 0.702 (0.630)	Data 0.000 (0.014)	Loss 4.1981 (4.1411)	Top-1 acc 29.297 (26.489)	Top-5 acc 48.828 (50.013)	lr 0.00000
Warmup Train [40][2120/2134]	Time 0.567 (0.630)	Data 0.000 (0.014)	Loss 4.0391 (4.1410)	Top-1 acc 28.906 (26.492)	Top-5 acc 54.688 (50.016)	lr 0.00000
Warmup Train [40][2130/2134]	Time 0.645 (0.630)	Data 0.000 (0.014)	Loss 4.0546 (4.1410)	Top-1 acc 27.734 (26.492)	Top-5 acc 53.125 (50.015)	lr 0.00000
Warmup Train [40][2134/2134]	Time 0.447 (0.630)	Data 0.000 (0.014)	Loss 3.9652 (4.1409)	Top-1 acc 29.947 (26.492)	Top-5 acc 51.337 (50.013)	lr 0.00000
==========Warmup Valid [40/40]	loss 3.153	top-1 acc 33.509	top-5 acc 59.207	Train top-1 26.492	top-5 50.013	flops: 442.4M
Train [1][0/2134]	Time 14.279 (14.279)	Data Time 13.117 (13.117)	Loss 4.1826 (4.1826)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (25.781)	Top-5 acc 47.266 (47.266)	lr 0.02500
Train [1][10/2134]	Time 0.787 (2.031)	Data Time 0.005 (1.196)	Loss 3.9663 (4.1450)	Entropy 1.90187 (1.90187)	Top-1 acc 29.688 (26.207)	Top-5 acc 50.781 (48.828)	lr 0.02500
Train [1][20/2134]	Time 0.664 (1.376)	Data Time 0.002 (0.628)	Loss 4.1840 (4.1614)	Entropy 1.90187 (1.90187)	Top-1 acc 26.172 (25.930)	Top-5 acc 45.312 (48.865)	lr 0.02500
Train [1][30/2134]	Time 0.627 (1.132)	Data Time 0.002 (0.428)	Loss 4.3908 (4.1718)	Entropy 1.90187 (1.90187)	Top-1 acc 23.047 (25.529)	Top-5 acc 46.484 (49.030)	lr 0.02500
Train [1][40/2134]	Time 0.732 (1.010)	Data Time 0.002 (0.324)	Loss 4.0907 (4.1729)	Entropy 1.90187 (1.90187)	Top-1 acc 27.734 (25.629)	Top-5 acc 54.688 (49.133)	lr 0.02500
Train [1][50/2134]	Time 0.714 (0.934)	Data Time 0.002 (0.261)	Loss 4.3675 (4.1838)	Entropy 1.90187 (1.90187)	Top-1 acc 20.703 (25.452)	Top-5 acc 42.188 (48.790)	lr 0.02500
Train [1][60/2134]	Time 0.570 (0.879)	Data Time 0.002 (0.219)	Loss 4.3227 (4.1921)	Entropy 1.90187 (1.90187)	Top-1 acc 20.312 (25.205)	Top-5 acc 44.922 (48.482)	lr 0.02500
Train [1][70/2134]	Time 0.759 (0.844)	Data Time 0.002 (0.189)	Loss 4.0398 (4.1915)	Entropy 1.90187 (1.90187)	Top-1 acc 27.344 (25.248)	Top-5 acc 55.078 (48.515)	lr 0.02500
Train [1][80/2134]	Time 0.628 (0.819)	Data Time 0.002 (0.166)	Loss 4.0975 (4.2002)	Entropy 1.90187 (1.90187)	Top-1 acc 30.859 (25.188)	Top-5 acc 50.391 (48.375)	lr 0.02500
Train [1][90/2134]	Time 0.632 (0.797)	Data Time 0.003 (0.149)	Loss 4.1048 (4.2028)	Entropy 1.90187 (1.90187)	Top-1 acc 27.344 (25.116)	Top-5 acc 51.953 (48.373)	lr 0.02500
Train [1][100/2134]	Time 0.602 (0.779)	Data Time 0.002 (0.135)	Loss 4.1601 (4.2016)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (25.228)	Top-5 acc 50.000 (48.480)	lr 0.02500
Train [1][110/2134]	Time 0.668 (0.769)	Data Time 0.002 (0.124)	Loss 4.2348 (4.2033)	Entropy 1.90187 (1.90187)	Top-1 acc 26.172 (25.271)	Top-5 acc 49.219 (48.455)	lr 0.02500
Train [1][120/2134]	Time 0.643 (0.756)	Data Time 0.002 (0.114)	Loss 4.1146 (4.2058)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (25.190)	Top-5 acc 51.562 (48.341)	lr 0.02500
Train [1][130/2134]	Time 0.616 (0.744)	Data Time 0.002 (0.106)	Loss 4.2593 (4.2091)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (25.060)	Top-5 acc 46.484 (48.187)	lr 0.02500
Train [1][140/2134]	Time 0.475 (0.736)	Data Time 0.002 (0.099)	Loss 4.1270 (4.2095)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (25.036)	Top-5 acc 49.219 (48.108)	lr 0.02500
Train [1][150/2134]	Time 0.534 (0.727)	Data Time 0.004 (0.093)	Loss 4.4234 (4.2095)	Entropy 1.90187 (1.90187)	Top-1 acc 21.484 (25.005)	Top-5 acc 42.578 (48.168)	lr 0.02500
Train [1][160/2134]	Time 0.661 (0.720)	Data Time 0.002 (0.089)	Loss 4.4734 (4.2104)	Entropy 1.90187 (1.90187)	Top-1 acc 18.750 (24.888)	Top-5 acc 44.531 (48.171)	lr 0.02500
Train [1][170/2134]	Time 0.600 (0.715)	Data Time 0.002 (0.084)	Loss 4.1419 (4.2128)	Entropy 1.90187 (1.90187)	Top-1 acc 28.516 (24.895)	Top-5 acc 48.828 (48.115)	lr 0.02500
Train [1][180/2134]	Time 0.617 (0.709)	Data Time 0.002 (0.079)	Loss 4.5726 (4.2161)	Entropy 1.90187 (1.90187)	Top-1 acc 23.438 (24.920)	Top-5 acc 38.672 (48.058)	lr 0.02500
Train [1][190/2134]	Time 0.692 (0.704)	Data Time 0.002 (0.075)	Loss 4.2896 (4.2184)	Entropy 1.90187 (1.90187)	Top-1 acc 22.656 (24.855)	Top-5 acc 50.781 (48.037)	lr 0.02500
Train [1][200/2134]	Time 0.665 (0.722)	Data Time 0.002 (0.072)	Loss 4.3534 (4.2201)	Entropy 1.90187 (1.90187)	Top-1 acc 21.875 (24.798)	Top-5 acc 44.922 (47.979)	lr 0.02500
Train [1][210/2134]	Time 0.650 (0.718)	Data Time 0.002 (0.069)	Loss 4.0679 (4.2192)	Entropy 1.90187 (1.90187)	Top-1 acc 28.125 (24.793)	Top-5 acc 48.438 (47.958)	lr 0.02500
Train [1][220/2134]	Time 0.750 (0.713)	Data Time 0.003 (0.066)	Loss 4.2873 (4.2173)	Entropy 1.90187 (1.90187)	Top-1 acc 23.438 (24.857)	Top-5 acc 49.219 (48.004)	lr 0.02500
Train [1][230/2134]	Time 0.699 (0.709)	Data Time 0.004 (0.064)	Loss 4.0345 (4.2188)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.822)	Top-5 acc 48.828 (48.006)	lr 0.02500
Train [1][240/2134]	Time 0.829 (0.705)	Data Time 0.002 (0.061)	Loss 4.2624 (4.2193)	Entropy 1.90187 (1.90187)	Top-1 acc 20.703 (24.814)	Top-5 acc 45.312 (47.972)	lr 0.02500
Train [1][250/2134]	Time 0.620 (0.701)	Data Time 0.002 (0.059)	Loss 4.1974 (4.2197)	Entropy 1.90187 (1.90187)	Top-1 acc 28.125 (24.788)	Top-5 acc 50.000 (47.999)	lr 0.02500
Train [1][260/2134]	Time 0.542 (0.698)	Data Time 0.002 (0.057)	Loss 4.2957 (4.2184)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (24.847)	Top-5 acc 46.875 (48.026)	lr 0.02500
Train [1][270/2134]	Time 0.577 (0.696)	Data Time 0.002 (0.055)	Loss 4.2313 (4.2188)	Entropy 1.90187 (1.90187)	Top-1 acc 26.562 (24.849)	Top-5 acc 48.047 (47.989)	lr 0.02500
Train [1][280/2134]	Time 0.559 (0.693)	Data Time 0.002 (0.053)	Loss 4.2508 (4.2198)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.857)	Top-5 acc 48.047 (47.958)	lr 0.02500
Train [1][290/2134]	Time 0.602 (0.690)	Data Time 0.002 (0.052)	Loss 3.9913 (4.2197)	Entropy 1.90187 (1.90187)	Top-1 acc 26.953 (24.815)	Top-5 acc 55.469 (47.950)	lr 0.02500
Train [1][300/2134]	Time 0.533 (0.688)	Data Time 0.002 (0.050)	Loss 4.2769 (4.2202)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (24.800)	Top-5 acc 50.781 (47.970)	lr 0.02500
Train [1][310/2134]	Time 0.645 (0.686)	Data Time 0.002 (0.049)	Loss 4.0315 (4.2188)	Entropy 1.90187 (1.90187)	Top-1 acc 30.859 (24.837)	Top-5 acc 52.734 (48.020)	lr 0.02500
Train [1][320/2134]	Time 0.611 (0.683)	Data Time 0.003 (0.048)	Loss 4.1776 (4.2174)	Entropy 1.90187 (1.90187)	Top-1 acc 26.562 (24.862)	Top-5 acc 48.828 (48.074)	lr 0.02500
Train [1][330/2134]	Time 0.580 (0.681)	Data Time 0.002 (0.046)	Loss 4.1335 (4.2173)	Entropy 1.90187 (1.90187)	Top-1 acc 28.125 (24.902)	Top-5 acc 52.734 (48.098)	lr 0.02500
Train [1][340/2134]	Time 0.660 (0.680)	Data Time 0.002 (0.045)	Loss 4.0850 (4.2180)	Entropy 1.90187 (1.90187)	Top-1 acc 27.734 (24.890)	Top-5 acc 51.172 (48.097)	lr 0.02500
Train [1][350/2134]	Time 0.446 (0.677)	Data Time 0.002 (0.044)	Loss 4.1656 (4.2187)	Entropy 1.90187 (1.90187)	Top-1 acc 28.125 (24.929)	Top-5 acc 48.828 (48.067)	lr 0.02500
Train [1][360/2134]	Time 0.620 (0.676)	Data Time 0.002 (0.043)	Loss 3.9234 (4.2183)	Entropy 1.90187 (1.90187)	Top-1 acc 30.078 (24.943)	Top-5 acc 54.297 (48.051)	lr 0.02500
Train [1][370/2134]	Time 0.650 (0.674)	Data Time 0.002 (0.042)	Loss 4.2473 (4.2197)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.912)	Top-5 acc 47.656 (48.017)	lr 0.02500
Train [1][380/2134]	Time 0.442 (0.672)	Data Time 0.004 (0.041)	Loss 4.2928 (4.2206)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.891)	Top-5 acc 49.219 (48.017)	lr 0.02500
Train [1][390/2134]	Time 0.608 (0.671)	Data Time 0.003 (0.040)	Loss 4.2190 (4.2209)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (24.896)	Top-5 acc 49.219 (48.012)	lr 0.02500
Train [1][400/2134]	Time 0.567 (0.669)	Data Time 0.004 (0.039)	Loss 4.2759 (4.2217)	Entropy 1.90187 (1.90187)	Top-1 acc 22.656 (24.877)	Top-5 acc 47.656 (48.001)	lr 0.02500
Train [1][410/2134]	Time 0.589 (0.668)	Data Time 0.002 (0.039)	Loss 4.2934 (4.2214)	Entropy 1.90187 (1.90187)	Top-1 acc 26.172 (24.895)	Top-5 acc 46.484 (48.006)	lr 0.02500
Train [1][420/2134]	Time 0.485 (0.667)	Data Time 0.002 (0.038)	Loss 4.2094 (4.2201)	Entropy 1.90187 (1.90187)	Top-1 acc 20.312 (24.890)	Top-5 acc 49.219 (48.018)	lr 0.02500
Train [1][430/2134]	Time 0.610 (0.666)	Data Time 0.002 (0.037)	Loss 4.3020 (4.2216)	Entropy 1.90187 (1.90187)	Top-1 acc 21.094 (24.842)	Top-5 acc 47.266 (47.972)	lr 0.02500
Train [1][440/2134]	Time 0.619 (0.665)	Data Time 0.002 (0.037)	Loss 4.2381 (4.2237)	Entropy 1.90187 (1.90187)	Top-1 acc 23.438 (24.819)	Top-5 acc 42.188 (47.910)	lr 0.02500
Train [1][450/2134]	Time 0.721 (0.664)	Data Time 0.002 (0.036)	Loss 4.0504 (4.2223)	Entropy 1.90187 (1.90187)	Top-1 acc 26.953 (24.851)	Top-5 acc 55.078 (47.952)	lr 0.02500
Train [1][460/2134]	Time 0.658 (0.663)	Data Time 0.002 (0.035)	Loss 4.1557 (4.2240)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (24.812)	Top-5 acc 47.656 (47.909)	lr 0.02500
Train [1][470/2134]	Time 0.669 (0.662)	Data Time 0.002 (0.035)	Loss 4.2877 (4.2246)	Entropy 1.90187 (1.90187)	Top-1 acc 20.703 (24.791)	Top-5 acc 48.047 (47.893)	lr 0.02500
Train [1][480/2134]	Time 0.596 (0.661)	Data Time 0.002 (0.034)	Loss 4.1566 (4.2240)	Entropy 1.90187 (1.90187)	Top-1 acc 28.125 (24.800)	Top-5 acc 47.656 (47.910)	lr 0.02500
Train [1][490/2134]	Time 0.651 (0.660)	Data Time 0.003 (0.034)	Loss 4.1401 (4.2242)	Entropy 1.90187 (1.90187)	Top-1 acc 26.562 (24.803)	Top-5 acc 48.438 (47.901)	lr 0.02500
Train [1][500/2134]	Time 0.751 (0.660)	Data Time 0.003 (0.033)	Loss 4.3944 (4.2255)	Entropy 1.90187 (1.90187)	Top-1 acc 23.047 (24.778)	Top-5 acc 45.312 (47.862)	lr 0.02500
Train [1][510/2134]	Time 0.551 (0.659)	Data Time 0.003 (0.033)	Loss 4.2718 (4.2263)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.770)	Top-5 acc 48.828 (47.853)	lr 0.02500
Train [1][520/2134]	Time 0.660 (0.658)	Data Time 0.002 (0.032)	Loss 4.2734 (4.2265)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.744)	Top-5 acc 47.656 (47.838)	lr 0.02500
Train [1][530/2134]	Time 0.587 (0.658)	Data Time 0.002 (0.032)	Loss 4.1507 (4.2257)	Entropy 1.90187 (1.90187)	Top-1 acc 27.734 (24.769)	Top-5 acc 49.609 (47.859)	lr 0.02500
Train [1][540/2134]	Time 0.675 (0.657)	Data Time 0.002 (0.031)	Loss 4.1969 (4.2255)	Entropy 1.90187 (1.90187)	Top-1 acc 24.609 (24.782)	Top-5 acc 47.266 (47.857)	lr 0.02500
Train [1][550/2134]	Time 0.659 (0.656)	Data Time 0.002 (0.031)	Loss 4.0942 (4.2266)	Entropy 1.90187 (1.90187)	Top-1 acc 28.906 (24.764)	Top-5 acc 51.172 (47.822)	lr 0.02500
Train [1][560/2134]	Time 0.591 (0.655)	Data Time 0.002 (0.030)	Loss 4.0959 (4.2268)	Entropy 1.90187 (1.90187)	Top-1 acc 24.609 (24.758)	Top-5 acc 51.562 (47.814)	lr 0.02500
Train [1][570/2134]	Time 0.716 (0.654)	Data Time 0.002 (0.030)	Loss 4.1909 (4.2264)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (24.760)	Top-5 acc 47.656 (47.819)	lr 0.02500
Train [1][580/2134]	Time 0.605 (0.660)	Data Time 0.003 (0.029)	Loss 4.2429 (4.2251)	Entropy 1.90187 (1.90187)	Top-1 acc 26.172 (24.781)	Top-5 acc 43.750 (47.836)	lr 0.02500
Train [1][590/2134]	Time 0.595 (0.659)	Data Time 0.002 (0.029)	Loss 4.2201 (4.2251)	Entropy 1.90187 (1.90187)	Top-1 acc 23.438 (24.778)	Top-5 acc 48.047 (47.843)	lr 0.02500
Train [1][600/2134]	Time 0.597 (0.658)	Data Time 0.003 (0.029)	Loss 4.0900 (4.2255)	Entropy 1.90187 (1.90187)	Top-1 acc 27.734 (24.773)	Top-5 acc 54.688 (47.841)	lr 0.02500
Train [1][610/2134]	Time 0.758 (0.658)	Data Time 0.002 (0.028)	Loss 4.2033 (4.2250)	Entropy 1.90187 (1.90187)	Top-1 acc 22.266 (24.776)	Top-5 acc 50.391 (47.844)	lr 0.02500
Train [1][620/2134]	Time 0.586 (0.657)	Data Time 0.002 (0.028)	Loss 4.3492 (4.2248)	Entropy 1.90187 (1.90187)	Top-1 acc 19.922 (24.780)	Top-5 acc 45.703 (47.839)	lr 0.02500
Train [1][630/2134]	Time 0.502 (0.656)	Data Time 0.002 (0.028)	Loss 4.2892 (4.2254)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.770)	Top-5 acc 47.656 (47.836)	lr 0.02500
Train [1][640/2134]	Time 0.710 (0.656)	Data Time 0.002 (0.027)	Loss 4.1625 (4.2256)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (24.753)	Top-5 acc 52.344 (47.835)	lr 0.02500
Train [1][650/2134]	Time 0.550 (0.655)	Data Time 0.002 (0.027)	Loss 4.1414 (4.2267)	Entropy 1.90187 (1.90187)	Top-1 acc 26.172 (24.749)	Top-5 acc 51.172 (47.823)	lr 0.02500
Train [1][660/2134]	Time 0.641 (0.655)	Data Time 0.002 (0.027)	Loss 4.1341 (4.2267)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.751)	Top-5 acc 51.172 (47.812)	lr 0.02500
Train [1][670/2134]	Time 0.629 (0.654)	Data Time 0.002 (0.026)	Loss 4.2762 (4.2265)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (24.738)	Top-5 acc 48.047 (47.830)	lr 0.02500
Train [1][680/2134]	Time 0.668 (0.654)	Data Time 0.002 (0.026)	Loss 4.1709 (4.2264)	Entropy 1.90187 (1.90187)	Top-1 acc 27.344 (24.741)	Top-5 acc 51.172 (47.842)	lr 0.02500
Train [1][690/2134]	Time 0.594 (0.654)	Data Time 0.002 (0.026)	Loss 4.2716 (4.2270)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (24.721)	Top-5 acc 46.484 (47.817)	lr 0.02500
Train [1][700/2134]	Time 0.620 (0.653)	Data Time 0.002 (0.025)	Loss 4.1101 (4.2268)	Entropy 1.90187 (1.90187)	Top-1 acc 22.656 (24.722)	Top-5 acc 50.000 (47.831)	lr 0.02500
Train [1][710/2134]	Time 0.740 (0.653)	Data Time 0.002 (0.025)	Loss 4.1917 (4.2275)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (24.711)	Top-5 acc 50.781 (47.801)	lr 0.02500
Train [1][720/2134]	Time 0.546 (0.652)	Data Time 0.003 (0.025)	Loss 4.1034 (4.2286)	Entropy 1.90187 (1.90187)	Top-1 acc 29.297 (24.688)	Top-5 acc 47.266 (47.770)	lr 0.02500
Train [1][730/2134]	Time 0.597 (0.651)	Data Time 0.002 (0.025)	Loss 4.4730 (4.2299)	Entropy 1.90187 (1.90187)	Top-1 acc 18.750 (24.668)	Top-5 acc 43.359 (47.749)	lr 0.02500
Train [1][740/2134]	Time 0.435 (0.651)	Data Time 0.002 (0.024)	Loss 4.1594 (4.2305)	Entropy 1.90187 (1.90187)	Top-1 acc 22.656 (24.657)	Top-5 acc 49.219 (47.732)	lr 0.02500
Train [1][750/2134]	Time 0.775 (0.650)	Data Time 0.003 (0.024)	Loss 4.2554 (4.2309)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (24.650)	Top-5 acc 47.656 (47.725)	lr 0.02500
Train [1][760/2134]	Time 0.521 (0.650)	Data Time 0.002 (0.024)	Loss 4.1847 (4.2306)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (24.659)	Top-5 acc 47.266 (47.733)	lr 0.02500
Train [1][770/2134]	Time 0.481 (0.649)	Data Time 0.003 (0.024)	Loss 4.1849 (4.2303)	Entropy 1.90187 (1.90187)	Top-1 acc 22.656 (24.663)	Top-5 acc 47.266 (47.751)	lr 0.02500
Train [1][780/2134]	Time 0.711 (0.649)	Data Time 0.002 (0.024)	Loss 4.2978 (4.2305)	Entropy 1.90187 (1.90187)	Top-1 acc 23.047 (24.660)	Top-5 acc 46.875 (47.755)	lr 0.02500
Train [1][790/2134]	Time 0.624 (0.648)	Data Time 0.002 (0.023)	Loss 4.2451 (4.2305)	Entropy 1.90187 (1.90187)	Top-1 acc 21.094 (24.651)	Top-5 acc 44.531 (47.751)	lr 0.02500
Train [1][800/2134]	Time 0.612 (0.648)	Data Time 0.002 (0.023)	Loss 4.1609 (4.2308)	Entropy 1.90187 (1.90187)	Top-1 acc 21.094 (24.632)	Top-5 acc 51.172 (47.742)	lr 0.02500
Train [1][810/2134]	Time 0.696 (0.648)	Data Time 0.002 (0.023)	Loss 4.5356 (4.2312)	Entropy 1.90187 (1.90187)	Top-1 acc 22.266 (24.635)	Top-5 acc 41.016 (47.734)	lr 0.02500
Train [1][820/2134]	Time 0.711 (0.648)	Data Time 0.002 (0.023)	Loss 4.1680 (4.2314)	Entropy 1.90187 (1.90187)	Top-1 acc 28.516 (24.658)	Top-5 acc 50.781 (47.741)	lr 0.02500
Train [1][830/2134]	Time 0.797 (0.647)	Data Time 0.002 (0.023)	Loss 4.2763 (4.2320)	Entropy 1.90187 (1.90187)	Top-1 acc 28.125 (24.646)	Top-5 acc 49.609 (47.724)	lr 0.02500
Train [1][840/2134]	Time 0.571 (0.647)	Data Time 0.002 (0.022)	Loss 4.1111 (4.2319)	Entropy 1.90187 (1.90187)	Top-1 acc 26.562 (24.629)	Top-5 acc 50.000 (47.713)	lr 0.02500
Train [1][850/2134]	Time 0.575 (0.646)	Data Time 0.002 (0.022)	Loss 4.2347 (4.2318)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.633)	Top-5 acc 46.094 (47.715)	lr 0.02500
Train [1][860/2134]	Time 0.814 (0.646)	Data Time 0.002 (0.022)	Loss 4.3732 (4.2323)	Entropy 1.90187 (1.90187)	Top-1 acc 19.922 (24.613)	Top-5 acc 44.922 (47.698)	lr 0.02500
Train [1][870/2134]	Time 0.651 (0.646)	Data Time 0.002 (0.022)	Loss 4.1206 (4.2322)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.601)	Top-5 acc 49.219 (47.705)	lr 0.02500
Train [1][880/2134]	Time 0.450 (0.645)	Data Time 0.002 (0.022)	Loss 4.1181 (4.2322)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.604)	Top-5 acc 47.656 (47.714)	lr 0.02500
Train [1][890/2134]	Time 0.437 (0.645)	Data Time 0.002 (0.022)	Loss 4.2022 (4.2323)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (24.612)	Top-5 acc 44.922 (47.706)	lr 0.02500
Train [1][900/2134]	Time 0.511 (0.645)	Data Time 0.002 (0.021)	Loss 4.2031 (4.2321)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (24.607)	Top-5 acc 48.438 (47.699)	lr 0.02500
Train [1][910/2134]	Time 0.518 (0.644)	Data Time 0.002 (0.021)	Loss 4.3397 (4.2325)	Entropy 1.90187 (1.90187)	Top-1 acc 21.875 (24.601)	Top-5 acc 50.000 (47.701)	lr 0.02500
Train [1][920/2134]	Time 0.642 (0.644)	Data Time 0.002 (0.021)	Loss 4.1294 (4.2321)	Entropy 1.90187 (1.90187)	Top-1 acc 22.656 (24.610)	Top-5 acc 48.828 (47.694)	lr 0.02500
Train [1][930/2134]	Time 0.647 (0.644)	Data Time 0.002 (0.021)	Loss 4.1961 (4.2321)	Entropy 1.90187 (1.90187)	Top-1 acc 22.656 (24.609)	Top-5 acc 48.047 (47.705)	lr 0.02500
Train [1][940/2134]	Time 0.512 (0.644)	Data Time 0.003 (0.021)	Loss 4.1547 (4.2318)	Entropy 1.90187 (1.90187)	Top-1 acc 28.125 (24.623)	Top-5 acc 50.391 (47.720)	lr 0.02500
Train [1][950/2134]	Time 0.728 (0.644)	Data Time 0.002 (0.021)	Loss 4.3161 (4.2315)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.620)	Top-5 acc 46.875 (47.726)	lr 0.02500
Train [1][960/2134]	Time 0.593 (0.647)	Data Time 0.002 (0.021)	Loss 4.1703 (4.2312)	Entropy 1.90187 (1.90187)	Top-1 acc 26.562 (24.628)	Top-5 acc 48.438 (47.736)	lr 0.02500
Train [1][970/2134]	Time 0.647 (0.647)	Data Time 0.003 (0.021)	Loss 4.2560 (4.2308)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.627)	Top-5 acc 47.266 (47.744)	lr 0.02500
Train [1][980/2134]	Time 0.703 (0.647)	Data Time 0.002 (0.020)	Loss 4.3451 (4.2309)	Entropy 1.90187 (1.90187)	Top-1 acc 24.609 (24.622)	Top-5 acc 44.922 (47.746)	lr 0.02500
Train [1][990/2134]	Time 0.408 (0.646)	Data Time 0.002 (0.020)	Loss 4.1284 (4.2300)	Entropy 1.90187 (1.90187)	Top-1 acc 30.078 (24.638)	Top-5 acc 49.219 (47.768)	lr 0.02500
Train [1][1000/2134]	Time 0.622 (0.646)	Data Time 0.002 (0.020)	Loss 4.3556 (4.2302)	Entropy 1.90187 (1.90187)	Top-1 acc 21.484 (24.628)	Top-5 acc 45.312 (47.753)	lr 0.02500
Train [1][1010/2134]	Time 0.580 (0.646)	Data Time 0.002 (0.020)	Loss 4.2166 (4.2301)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (24.631)	Top-5 acc 51.172 (47.759)	lr 0.02500
Train [1][1020/2134]	Time 0.702 (0.646)	Data Time 0.002 (0.020)	Loss 4.2718 (4.2302)	Entropy 1.90187 (1.90187)	Top-1 acc 21.875 (24.629)	Top-5 acc 48.047 (47.753)	lr 0.02500
Train [1][1030/2134]	Time 0.666 (0.645)	Data Time 0.006 (0.020)	Loss 4.1532 (4.2301)	Entropy 1.90187 (1.90187)	Top-1 acc 26.172 (24.630)	Top-5 acc 50.391 (47.748)	lr 0.02500
Train [1][1040/2134]	Time 0.563 (0.645)	Data Time 0.002 (0.020)	Loss 4.2201 (4.2306)	Entropy 1.90187 (1.90187)	Top-1 acc 23.047 (24.620)	Top-5 acc 50.391 (47.738)	lr 0.02500
Train [1][1050/2134]	Time 0.637 (0.645)	Data Time 0.002 (0.020)	Loss 3.9617 (4.2308)	Entropy 1.90187 (1.90187)	Top-1 acc 31.250 (24.619)	Top-5 acc 56.641 (47.731)	lr 0.02500
Train [1][1060/2134]	Time 0.686 (0.644)	Data Time 0.002 (0.019)	Loss 4.3690 (4.2313)	Entropy 1.90187 (1.90187)	Top-1 acc 22.266 (24.609)	Top-5 acc 46.094 (47.720)	lr 0.02500
Train [1][1070/2134]	Time 0.692 (0.644)	Data Time 0.004 (0.019)	Loss 4.0233 (4.2311)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (24.607)	Top-5 acc 46.094 (47.706)	lr 0.02500
Train [1][1080/2134]	Time 0.585 (0.644)	Data Time 0.003 (0.019)	Loss 4.3221 (4.2314)	Entropy 1.90187 (1.90187)	Top-1 acc 21.094 (24.607)	Top-5 acc 48.047 (47.699)	lr 0.02500
Train [1][1090/2134]	Time 0.701 (0.644)	Data Time 0.002 (0.019)	Loss 4.1704 (4.2315)	Entropy 1.90187 (1.90187)	Top-1 acc 26.172 (24.603)	Top-5 acc 47.266 (47.695)	lr 0.02500
Train [1][1100/2134]	Time 0.765 (0.644)	Data Time 0.002 (0.019)	Loss 4.3857 (4.2313)	Entropy 1.90187 (1.90187)	Top-1 acc 15.234 (24.598)	Top-5 acc 41.797 (47.696)	lr 0.02500
Train [1][1110/2134]	Time 0.624 (0.643)	Data Time 0.002 (0.019)	Loss 4.5396 (4.2322)	Entropy 1.90187 (1.90187)	Top-1 acc 20.312 (24.583)	Top-5 acc 38.672 (47.661)	lr 0.02500
Train [1][1120/2134]	Time 0.569 (0.643)	Data Time 0.002 (0.019)	Loss 4.2586 (4.2324)	Entropy 1.90187 (1.90187)	Top-1 acc 23.047 (24.574)	Top-5 acc 46.875 (47.652)	lr 0.02500
Train [1][1130/2134]	Time 0.649 (0.643)	Data Time 0.003 (0.018)	Loss 4.2467 (4.2324)	Entropy 1.90187 (1.90187)	Top-1 acc 19.922 (24.569)	Top-5 acc 45.703 (47.648)	lr 0.02500
Train [1][1140/2134]	Time 0.467 (0.642)	Data Time 0.002 (0.018)	Loss 4.3667 (4.2329)	Entropy 1.90187 (1.90187)	Top-1 acc 21.875 (24.559)	Top-5 acc 43.750 (47.631)	lr 0.02500
Train [1][1150/2134]	Time 0.516 (0.642)	Data Time 0.002 (0.018)	Loss 4.3128 (4.2331)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.556)	Top-5 acc 46.875 (47.631)	lr 0.02500
Train [1][1160/2134]	Time 0.446 (0.642)	Data Time 0.002 (0.018)	Loss 4.3714 (4.2329)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (24.563)	Top-5 acc 42.969 (47.629)	lr 0.02500
Train [1][1170/2134]	Time 0.668 (0.642)	Data Time 0.003 (0.018)	Loss 4.2569 (4.2331)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.559)	Top-5 acc 46.094 (47.626)	lr 0.02500
Train [1][1180/2134]	Time 0.502 (0.641)	Data Time 0.002 (0.018)	Loss 4.2396 (4.2333)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.548)	Top-5 acc 49.219 (47.622)	lr 0.02500
Train [1][1190/2134]	Time 0.626 (0.641)	Data Time 0.002 (0.018)	Loss 4.3469 (4.2335)	Entropy 1.90187 (1.90187)	Top-1 acc 19.531 (24.544)	Top-5 acc 46.875 (47.622)	lr 0.02500
Train [1][1200/2134]	Time 0.586 (0.641)	Data Time 0.003 (0.018)	Loss 4.4546 (4.2341)	Entropy 1.90187 (1.90187)	Top-1 acc 21.094 (24.535)	Top-5 acc 44.531 (47.609)	lr 0.02500
Train [1][1210/2134]	Time 0.520 (0.641)	Data Time 0.002 (0.018)	Loss 4.2798 (4.2347)	Entropy 1.90187 (1.90187)	Top-1 acc 18.750 (24.532)	Top-5 acc 46.875 (47.604)	lr 0.02500
Train [1][1220/2134]	Time 0.566 (0.640)	Data Time 0.002 (0.018)	Loss 4.3782 (4.2349)	Entropy 1.90187 (1.90187)	Top-1 acc 21.484 (24.527)	Top-5 acc 40.625 (47.596)	lr 0.02500
Train [1][1230/2134]	Time 0.657 (0.640)	Data Time 0.002 (0.018)	Loss 4.0346 (4.2348)	Entropy 1.90187 (1.90187)	Top-1 acc 26.172 (24.520)	Top-5 acc 49.609 (47.600)	lr 0.02500
Train [1][1240/2134]	Time 0.624 (0.640)	Data Time 0.002 (0.018)	Loss 4.1363 (4.2348)	Entropy 1.90187 (1.90187)	Top-1 acc 24.609 (24.516)	Top-5 acc 48.438 (47.594)	lr 0.02500
Train [1][1250/2134]	Time 0.476 (0.640)	Data Time 0.002 (0.018)	Loss 4.5025 (4.2348)	Entropy 1.90187 (1.90187)	Top-1 acc 17.969 (24.517)	Top-5 acc 47.266 (47.600)	lr 0.02500
Train [1][1260/2134]	Time 0.406 (0.639)	Data Time 0.002 (0.018)	Loss 4.4148 (4.2348)	Entropy 1.90187 (1.90187)	Top-1 acc 22.266 (24.517)	Top-5 acc 42.969 (47.601)	lr 0.02500
Train [1][1270/2134]	Time 0.781 (0.639)	Data Time 0.002 (0.018)	Loss 4.3193 (4.2351)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.508)	Top-5 acc 47.266 (47.596)	lr 0.02500
Train [1][1280/2134]	Time 0.714 (0.639)	Data Time 0.002 (0.017)	Loss 4.0808 (4.2350)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.520)	Top-5 acc 50.000 (47.590)	lr 0.02500
Train [1][1290/2134]	Time 0.571 (0.639)	Data Time 0.002 (0.017)	Loss 4.4880 (4.2349)	Entropy 1.90187 (1.90187)	Top-1 acc 20.312 (24.525)	Top-5 acc 45.312 (47.592)	lr 0.02500
Train [1][1300/2134]	Time 0.665 (0.639)	Data Time 0.002 (0.017)	Loss 4.1570 (4.2349)	Entropy 1.90187 (1.90187)	Top-1 acc 23.047 (24.510)	Top-5 acc 48.828 (47.589)	lr 0.02500
Train [1][1310/2134]	Time 0.613 (0.639)	Data Time 0.002 (0.017)	Loss 4.2420 (4.2350)	Entropy 1.90187 (1.90187)	Top-1 acc 30.859 (24.515)	Top-5 acc 48.828 (47.587)	lr 0.02500
Train [1][1320/2134]	Time 0.626 (0.639)	Data Time 0.002 (0.017)	Loss 4.1356 (4.2347)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.514)	Top-5 acc 51.172 (47.601)	lr 0.02500
Train [1][1330/2134]	Time 0.667 (0.638)	Data Time 0.002 (0.017)	Loss 4.1685 (4.2343)	Entropy 1.90187 (1.90187)	Top-1 acc 28.125 (24.514)	Top-5 acc 49.219 (47.605)	lr 0.02500
Train [1][1340/2134]	Time 0.728 (0.638)	Data Time 0.002 (0.017)	Loss 4.3413 (4.2343)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.508)	Top-5 acc 44.141 (47.601)	lr 0.02500
Train [1][1350/2134]	Time 0.627 (0.641)	Data Time 0.002 (0.017)	Loss 4.4023 (4.2344)	Entropy 1.90187 (1.90187)	Top-1 acc 17.969 (24.510)	Top-5 acc 41.797 (47.594)	lr 0.02500
Train [1][1360/2134]	Time 0.759 (0.640)	Data Time 0.003 (0.017)	Loss 4.0682 (4.2343)	Entropy 1.90187 (1.90187)	Top-1 acc 26.562 (24.510)	Top-5 acc 48.047 (47.589)	lr 0.02500
Train [1][1370/2134]	Time 0.610 (0.640)	Data Time 0.002 (0.017)	Loss 4.2813 (4.2344)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.515)	Top-5 acc 49.219 (47.586)	lr 0.02500
Train [1][1380/2134]	Time 0.672 (0.640)	Data Time 0.002 (0.017)	Loss 4.3719 (4.2347)	Entropy 1.90187 (1.90187)	Top-1 acc 17.578 (24.499)	Top-5 acc 38.672 (47.573)	lr 0.02500
Train [1][1390/2134]	Time 0.614 (0.640)	Data Time 0.002 (0.016)	Loss 4.3240 (4.2350)	Entropy 1.90187 (1.90187)	Top-1 acc 20.703 (24.498)	Top-5 acc 47.266 (47.573)	lr 0.02500
Train [1][1400/2134]	Time 0.627 (0.640)	Data Time 0.002 (0.016)	Loss 4.2560 (4.2351)	Entropy 1.90187 (1.90187)	Top-1 acc 27.344 (24.498)	Top-5 acc 49.219 (47.569)	lr 0.02500
Train [1][1410/2134]	Time 0.688 (0.640)	Data Time 0.002 (0.016)	Loss 4.1832 (4.2352)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (24.494)	Top-5 acc 46.484 (47.569)	lr 0.02500
Train [1][1420/2134]	Time 0.677 (0.640)	Data Time 0.002 (0.016)	Loss 4.2419 (4.2354)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.486)	Top-5 acc 50.000 (47.563)	lr 0.02500
Train [1][1430/2134]	Time 0.654 (0.639)	Data Time 0.003 (0.016)	Loss 4.1994 (4.2352)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.483)	Top-5 acc 48.828 (47.571)	lr 0.02500
Train [1][1440/2134]	Time 0.610 (0.639)	Data Time 0.002 (0.016)	Loss 4.3293 (4.2356)	Entropy 1.90187 (1.90187)	Top-1 acc 24.609 (24.479)	Top-5 acc 47.266 (47.565)	lr 0.02500
Train [1][1450/2134]	Time 0.655 (0.639)	Data Time 0.002 (0.016)	Loss 4.5002 (4.2359)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.481)	Top-5 acc 43.750 (47.561)	lr 0.02500
Train [1][1460/2134]	Time 0.682 (0.639)	Data Time 0.004 (0.016)	Loss 4.2054 (4.2360)	Entropy 1.90187 (1.90187)	Top-1 acc 23.047 (24.474)	Top-5 acc 50.391 (47.555)	lr 0.02500
Train [1][1470/2134]	Time 0.411 (0.639)	Data Time 0.002 (0.016)	Loss 4.4405 (4.2363)	Entropy 1.90187 (1.90187)	Top-1 acc 26.953 (24.471)	Top-5 acc 44.531 (47.552)	lr 0.02500
Train [1][1480/2134]	Time 0.590 (0.639)	Data Time 0.002 (0.016)	Loss 4.0811 (4.2360)	Entropy 1.90187 (1.90187)	Top-1 acc 26.953 (24.483)	Top-5 acc 55.469 (47.561)	lr 0.02500
Train [1][1490/2134]	Time 0.536 (0.639)	Data Time 0.002 (0.016)	Loss 4.2376 (4.2359)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.486)	Top-5 acc 47.656 (47.561)	lr 0.02500
Train [1][1500/2134]	Time 0.583 (0.638)	Data Time 0.002 (0.016)	Loss 4.2920 (4.2355)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.489)	Top-5 acc 46.875 (47.564)	lr 0.02500
Train [1][1510/2134]	Time 0.437 (0.638)	Data Time 0.003 (0.016)	Loss 4.2283 (4.2358)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.486)	Top-5 acc 47.656 (47.554)	lr 0.02500
Train [1][1520/2134]	Time 0.541 (0.638)	Data Time 0.003 (0.016)	Loss 4.3505 (4.2361)	Entropy 1.90187 (1.90187)	Top-1 acc 20.703 (24.478)	Top-5 acc 44.531 (47.547)	lr 0.02500
Train [1][1530/2134]	Time 0.575 (0.637)	Data Time 0.002 (0.016)	Loss 4.2574 (4.2363)	Entropy 1.90187 (1.90187)	Top-1 acc 29.297 (24.472)	Top-5 acc 48.438 (47.544)	lr 0.02500
Train [1][1540/2134]	Time 0.653 (0.637)	Data Time 0.002 (0.016)	Loss 4.3154 (4.2366)	Entropy 1.90187 (1.90187)	Top-1 acc 22.266 (24.469)	Top-5 acc 44.141 (47.544)	lr 0.02500
Train [1][1550/2134]	Time 0.501 (0.637)	Data Time 0.002 (0.016)	Loss 4.0832 (4.2365)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (24.468)	Top-5 acc 55.859 (47.542)	lr 0.02500
Train [1][1560/2134]	Time 0.482 (0.637)	Data Time 0.002 (0.016)	Loss 4.3525 (4.2367)	Entropy 1.90187 (1.90187)	Top-1 acc 21.094 (24.462)	Top-5 acc 46.094 (47.532)	lr 0.02500
Train [1][1570/2134]	Time 0.677 (0.637)	Data Time 0.002 (0.016)	Loss 4.1665 (4.2369)	Entropy 1.90187 (1.90187)	Top-1 acc 27.344 (24.458)	Top-5 acc 50.391 (47.528)	lr 0.02500
Train [1][1580/2134]	Time 0.753 (0.637)	Data Time 0.003 (0.015)	Loss 4.3747 (4.2373)	Entropy 1.90187 (1.90187)	Top-1 acc 22.266 (24.451)	Top-5 acc 43.359 (47.518)	lr 0.02500
Train [1][1590/2134]	Time 0.557 (0.637)	Data Time 0.002 (0.015)	Loss 4.3173 (4.2373)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.456)	Top-5 acc 45.703 (47.521)	lr 0.02500
Train [1][1600/2134]	Time 0.412 (0.637)	Data Time 0.002 (0.015)	Loss 4.2339 (4.2373)	Entropy 1.90187 (1.90187)	Top-1 acc 27.344 (24.467)	Top-5 acc 47.266 (47.516)	lr 0.02500
Train [1][1610/2134]	Time 0.787 (0.636)	Data Time 0.002 (0.015)	Loss 4.2238 (4.2373)	Entropy 1.90187 (1.90187)	Top-1 acc 26.562 (24.471)	Top-5 acc 49.219 (47.522)	lr 0.02500
Train [1][1620/2134]	Time 0.525 (0.636)	Data Time 0.002 (0.015)	Loss 4.3989 (4.2373)	Entropy 1.90187 (1.90187)	Top-1 acc 21.875 (24.468)	Top-5 acc 41.797 (47.515)	lr 0.02500
Train [1][1630/2134]	Time 0.469 (0.636)	Data Time 0.002 (0.015)	Loss 4.1625 (4.2370)	Entropy 1.90187 (1.90187)	Top-1 acc 27.344 (24.467)	Top-5 acc 50.781 (47.531)	lr 0.02500
Train [1][1640/2134]	Time 0.584 (0.636)	Data Time 0.002 (0.015)	Loss 4.1120 (4.2370)	Entropy 1.90187 (1.90187)	Top-1 acc 28.906 (24.469)	Top-5 acc 51.172 (47.533)	lr 0.02500
Train [1][1650/2134]	Time 0.802 (0.636)	Data Time 0.002 (0.015)	Loss 4.1712 (4.2372)	Entropy 1.90187 (1.90187)	Top-1 acc 26.172 (24.469)	Top-5 acc 49.219 (47.531)	lr 0.02500
Train [1][1660/2134]	Time 0.625 (0.636)	Data Time 0.002 (0.015)	Loss 4.2100 (4.2369)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.466)	Top-5 acc 46.094 (47.536)	lr 0.02500
Train [1][1670/2134]	Time 0.417 (0.636)	Data Time 0.004 (0.015)	Loss 4.2962 (4.2367)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.468)	Top-5 acc 49.219 (47.542)	lr 0.02500
Train [1][1680/2134]	Time 0.601 (0.636)	Data Time 0.002 (0.015)	Loss 4.0620 (4.2371)	Entropy 1.90187 (1.90187)	Top-1 acc 29.297 (24.465)	Top-5 acc 50.000 (47.534)	lr 0.02500
Train [1][1690/2134]	Time 0.647 (0.635)	Data Time 0.002 (0.015)	Loss 4.2357 (4.2367)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.476)	Top-5 acc 47.656 (47.544)	lr 0.02500
Train [1][1700/2134]	Time 0.708 (0.636)	Data Time 0.002 (0.015)	Loss 4.2583 (4.2369)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (24.476)	Top-5 acc 46.875 (47.532)	lr 0.02500
Train [1][1710/2134]	Time 0.619 (0.635)	Data Time 0.002 (0.015)	Loss 4.1489 (4.2368)	Entropy 1.90187 (1.90187)	Top-1 acc 22.266 (24.478)	Top-5 acc 48.828 (47.532)	lr 0.02500
Train [1][1720/2134]	Time 0.439 (0.635)	Data Time 0.002 (0.015)	Loss 4.2204 (4.2368)	Entropy 1.90187 (1.90187)	Top-1 acc 20.703 (24.484)	Top-5 acc 50.781 (47.538)	lr 0.02500
Train [1][1730/2134]	Time 0.775 (0.635)	Data Time 0.002 (0.015)	Loss 4.1305 (4.2367)	Entropy 1.90187 (1.90187)	Top-1 acc 26.953 (24.485)	Top-5 acc 51.562 (47.537)	lr 0.02500
Train [1][1740/2134]	Time 4.260 (0.637)	Data Time 0.002 (0.015)	Loss 4.3074 (4.2366)	Entropy 1.90187 (1.90187)	Top-1 acc 21.484 (24.491)	Top-5 acc 44.531 (47.544)	lr 0.02500
Train [1][1750/2134]	Time 0.685 (0.637)	Data Time 0.002 (0.015)	Loss 4.1162 (4.2366)	Entropy 1.90187 (1.90187)	Top-1 acc 24.609 (24.493)	Top-5 acc 48.828 (47.550)	lr 0.02500
Train [1][1760/2134]	Time 0.595 (0.637)	Data Time 0.002 (0.015)	Loss 4.2504 (4.2367)	Entropy 1.90187 (1.90187)	Top-1 acc 25.391 (24.490)	Top-5 acc 50.000 (47.552)	lr 0.02500
Train [1][1770/2134]	Time 0.594 (0.637)	Data Time 0.002 (0.015)	Loss 4.0635 (4.2367)	Entropy 1.90187 (1.90187)	Top-1 acc 26.953 (24.494)	Top-5 acc 53.125 (47.556)	lr 0.02500
Train [1][1780/2134]	Time 0.571 (0.637)	Data Time 0.003 (0.015)	Loss 4.5428 (4.2368)	Entropy 1.90187 (1.90187)	Top-1 acc 17.969 (24.493)	Top-5 acc 41.406 (47.555)	lr 0.02500
Train [1][1790/2134]	Time 0.730 (0.637)	Data Time 0.002 (0.015)	Loss 4.2275 (4.2369)	Entropy 1.90187 (1.90187)	Top-1 acc 23.438 (24.493)	Top-5 acc 48.828 (47.555)	lr 0.02500
Train [1][1800/2134]	Time 0.659 (0.636)	Data Time 0.004 (0.015)	Loss 4.2702 (4.2373)	Entropy 1.90187 (1.90187)	Top-1 acc 24.609 (24.488)	Top-5 acc 48.438 (47.554)	lr 0.02500
Train [1][1810/2134]	Time 0.542 (0.636)	Data Time 0.003 (0.014)	Loss 4.3102 (4.2371)	Entropy 1.90187 (1.90187)	Top-1 acc 23.438 (24.489)	Top-5 acc 45.312 (47.560)	lr 0.02500
Train [1][1820/2134]	Time 0.652 (0.636)	Data Time 0.002 (0.015)	Loss 4.2835 (4.2370)	Entropy 1.90187 (1.90187)	Top-1 acc 19.531 (24.488)	Top-5 acc 45.312 (47.558)	lr 0.02500
Train [1][1830/2134]	Time 0.563 (0.636)	Data Time 0.002 (0.014)	Loss 4.4064 (4.2370)	Entropy 1.90187 (1.90187)	Top-1 acc 20.312 (24.488)	Top-5 acc 45.703 (47.565)	lr 0.02500
Train [1][1840/2134]	Time 0.597 (0.636)	Data Time 0.003 (0.014)	Loss 4.1879 (4.2366)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.489)	Top-5 acc 44.141 (47.568)	lr 0.02500
Train [1][1850/2134]	Time 0.493 (0.636)	Data Time 0.003 (0.014)	Loss 4.3124 (4.2364)	Entropy 1.90187 (1.90187)	Top-1 acc 22.656 (24.488)	Top-5 acc 44.922 (47.571)	lr 0.02500
Train [1][1860/2134]	Time 0.686 (0.636)	Data Time 0.002 (0.014)	Loss 4.2782 (4.2366)	Entropy 1.90187 (1.90187)	Top-1 acc 26.172 (24.486)	Top-5 acc 48.438 (47.576)	lr 0.02500
Train [1][1870/2134]	Time 0.635 (0.636)	Data Time 0.002 (0.014)	Loss 4.0679 (4.2365)	Entropy 1.90187 (1.90187)	Top-1 acc 28.906 (24.493)	Top-5 acc 52.734 (47.581)	lr 0.02500
Train [1][1880/2134]	Time 0.566 (0.636)	Data Time 0.002 (0.014)	Loss 4.1339 (4.2363)	Entropy 1.90187 (1.90187)	Top-1 acc 27.734 (24.497)	Top-5 acc 52.344 (47.586)	lr 0.02500
Train [1][1890/2134]	Time 0.611 (0.636)	Data Time 0.002 (0.014)	Loss 4.2057 (4.2360)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.501)	Top-5 acc 47.656 (47.591)	lr 0.02500
Train [1][1900/2134]	Time 0.775 (0.635)	Data Time 0.002 (0.014)	Loss 4.2475 (4.2360)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.502)	Top-5 acc 48.047 (47.585)	lr 0.02500
Train [1][1910/2134]	Time 0.522 (0.635)	Data Time 0.002 (0.014)	Loss 4.2845 (4.2360)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (24.503)	Top-5 acc 44.141 (47.588)	lr 0.02500
Train [1][1920/2134]	Time 0.582 (0.635)	Data Time 0.002 (0.014)	Loss 4.0698 (4.2360)	Entropy 1.90187 (1.90187)	Top-1 acc 28.516 (24.506)	Top-5 acc 50.000 (47.593)	lr 0.02500
Train [1][1930/2134]	Time 0.505 (0.635)	Data Time 0.002 (0.014)	Loss 4.3050 (4.2362)	Entropy 1.90187 (1.90187)	Top-1 acc 23.047 (24.498)	Top-5 acc 45.703 (47.584)	lr 0.02500
Train [1][1940/2134]	Time 0.682 (0.635)	Data Time 0.002 (0.014)	Loss 4.2562 (4.2364)	Entropy 1.90187 (1.90187)	Top-1 acc 24.609 (24.494)	Top-5 acc 46.094 (47.583)	lr 0.02500
Train [1][1950/2134]	Time 0.673 (0.635)	Data Time 0.002 (0.014)	Loss 4.1855 (4.2362)	Entropy 1.90187 (1.90187)	Top-1 acc 25.781 (24.500)	Top-5 acc 49.219 (47.595)	lr 0.02500
Train [1][1960/2134]	Time 0.575 (0.635)	Data Time 0.002 (0.014)	Loss 4.1899 (4.2361)	Entropy 1.90187 (1.90187)	Top-1 acc 23.047 (24.497)	Top-5 acc 48.828 (47.595)	lr 0.02500
Train [1][1970/2134]	Time 0.582 (0.635)	Data Time 0.003 (0.014)	Loss 4.2411 (4.2362)	Entropy 1.90187 (1.90187)	Top-1 acc 24.219 (24.496)	Top-5 acc 46.094 (47.590)	lr 0.02500
Train [1][1980/2134]	Time 0.591 (0.634)	Data Time 0.002 (0.014)	Loss 4.1184 (4.2362)	Entropy 1.90187 (1.90187)	Top-1 acc 26.562 (24.497)	Top-5 acc 49.219 (47.596)	lr 0.02500
Train [1][1990/2134]	Time 0.695 (0.634)	Data Time 0.002 (0.014)	Loss 4.0371 (4.2365)	Entropy 1.90187 (1.90187)	Top-1 acc 28.906 (24.492)	Top-5 acc 50.000 (47.590)	lr 0.02500
Train [1][2000/2134]	Time 0.602 (0.634)	Data Time 0.002 (0.014)	Loss 4.2863 (4.2364)	Entropy 1.90187 (1.90187)	Top-1 acc 18.359 (24.495)	Top-5 acc 50.781 (47.602)	lr 0.02500
Train [1][2010/2134]	Time 0.585 (0.634)	Data Time 0.002 (0.014)	Loss 4.2653 (4.2362)	Entropy 1.90187 (1.90187)	Top-1 acc 26.172 (24.498)	Top-5 acc 46.875 (47.608)	lr 0.02500
Train [1][2020/2134]	Time 0.536 (0.634)	Data Time 0.002 (0.014)	Loss 4.3322 (4.2362)	Entropy 1.90187 (1.90187)	Top-1 acc 23.438 (24.494)	Top-5 acc 48.438 (47.608)	lr 0.02500
Train [1][2030/2134]	Time 0.654 (0.634)	Data Time 0.002 (0.014)	Loss 4.2848 (4.2359)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.499)	Top-5 acc 46.875 (47.612)	lr 0.02500
Train [1][2040/2134]	Time 0.765 (0.634)	Data Time 0.002 (0.014)	Loss 4.3175 (4.2358)	Entropy 1.90187 (1.90187)	Top-1 acc 24.609 (24.501)	Top-5 acc 43.750 (47.616)	lr 0.02500
Train [1][2050/2134]	Time 0.587 (0.633)	Data Time 0.003 (0.014)	Loss 4.3560 (4.2358)	Entropy 1.90187 (1.90187)	Top-1 acc 22.266 (24.505)	Top-5 acc 46.094 (47.614)	lr 0.02500
Train [1][2060/2134]	Time 0.570 (0.633)	Data Time 0.002 (0.014)	Loss 4.1569 (4.2358)	Entropy 1.90187 (1.90187)	Top-1 acc 22.656 (24.505)	Top-5 acc 52.344 (47.615)	lr 0.02500
Train [1][2070/2134]	Time 0.469 (0.633)	Data Time 0.002 (0.014)	Loss 4.3161 (4.2360)	Entropy 1.90187 (1.90187)	Top-1 acc 21.094 (24.502)	Top-5 acc 44.141 (47.613)	lr 0.02500
Train [1][2080/2134]	Time 0.685 (0.633)	Data Time 0.000 (0.014)	Loss 4.4545 (4.2361)	Entropy 1.90187 (1.90187)	Top-1 acc 22.266 (24.497)	Top-5 acc 41.016 (47.609)	lr 0.02500
Train [1][2090/2134]	Time 0.622 (0.633)	Data Time 0.000 (0.013)	Loss 4.2586 (4.2359)	Entropy 1.90187 (1.90187)	Top-1 acc 20.703 (24.497)	Top-5 acc 49.609 (47.612)	lr 0.02500
Train [1][2100/2134]	Time 0.655 (0.633)	Data Time 0.000 (0.013)	Loss 4.1901 (4.2359)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.494)	Top-5 acc 50.000 (47.613)	lr 0.02500
Train [1][2110/2134]	Time 0.500 (0.632)	Data Time 0.000 (0.013)	Loss 4.2237 (4.2358)	Entropy 1.90187 (1.90187)	Top-1 acc 23.438 (24.496)	Top-5 acc 48.828 (47.619)	lr 0.02500
Train [1][2120/2134]	Time 0.629 (0.632)	Data Time 0.000 (0.013)	Loss 4.1458 (4.2358)	Entropy 1.90187 (1.90187)	Top-1 acc 23.828 (24.496)	Top-5 acc 52.734 (47.622)	lr 0.02500
Train [1][2130/2134]	Time 0.707 (0.634)	Data Time 0.000 (0.013)	Loss 4.3353 (4.2359)	Entropy 1.90187 (1.90187)	Top-1 acc 22.266 (24.495)	Top-5 acc 46.484 (47.618)	lr 0.02500
Train [1][2134/2134]	Time 0.587 (0.634)	Data Time 0.000 (0.013)	Loss 4.3730 (4.2360)	Entropy 1.90187 (1.90187)	Top-1 acc 19.786 (24.493)	Top-5 acc 43.850 (47.616)	lr 0.02500
==========Valid [1/120]	loss 3.242	top-1 acc 31.563 (31.563)	top-5 acc 57.518	Train top-1 24.493	top-5 47.616	Entropy 1.90187	Latency-None: 0.000ms	Flops: 442.44M
Train [2][0/2134]	Time 73.369 (73.369)	Data Time 70.573 (70.573)	Loss 4.1700 (4.1700)	Entropy 1.90187 (1.90187)	Top-1 acc 25.000 (25.000)	Top-5 acc 46.484 (46.484)	lr 0.02500
Train [2][10/2134]	Time 0.378 (12.722)	Data Time 0.005 (6.501)	Loss 4.3776 (4.2971)	Entropy 1.90187 (1.90187)	Top-1 acc 23.047 (23.331)	Top-5 acc 44.922 (45.952)	lr 0.02500
Train [2][20/2134]	Time 0.449 (7.126)	Data Time 0.011 (3.414)	Loss 4.2922 (4.2579)	Entropy 1.90186 (1.90187)	Top-1 acc 22.656 (24.182)	Top-5 acc 44.922 (47.117)	lr 0.02500
Train [2][30/2134]	Time 0.546 (5.137)	Data Time 0.008 (2.320)	Loss 4.1550 (4.2624)	Entropy 1.90186 (1.90187)	Top-1 acc 28.125 (24.093)	Top-5 acc 50.781 (47.127)	lr 0.02500
Train [2][40/2134]	Time 0.515 (4.126)	Data Time 0.005 (1.757)	Loss 4.0930 (4.2572)	Entropy 1.90186 (1.90186)	Top-1 acc 22.656 (24.095)	Top-5 acc 56.250 (47.256)	lr 0.02500
Train [2][50/2134]	Time 0.671 (3.509)	Data Time 0.005 (1.416)	Loss 4.2116 (4.2416)	Entropy 1.90186 (1.90186)	Top-1 acc 23.438 (24.303)	Top-5 acc 48.828 (47.672)	lr 0.02500
Train [2][60/2134]	Time 0.675 (3.092)	Data Time 0.005 (1.184)	Loss 4.1219 (4.2312)	Entropy 1.90186 (1.90186)	Top-1 acc 27.344 (24.565)	Top-5 acc 53.125 (48.143)	lr 0.02500
Train [2][70/2134]	Time 0.662 (2.795)	Data Time 0.007 (1.018)	Loss 4.2441 (4.2182)	Entropy 1.90185 (1.90186)	Top-1 acc 25.781 (24.670)	Top-5 acc 48.438 (48.449)	lr 0.02500
Train [2][80/2134]	Time 0.659 (2.570)	Data Time 0.005 (0.893)	Loss 4.1746 (4.2148)	Entropy 1.90185 (1.90186)	Top-1 acc 26.953 (24.749)	Top-5 acc 52.734 (48.568)	lr 0.02500
Train [2][90/2134]	Time 0.687 (2.394)	Data Time 0.005 (0.796)	Loss 4.1123 (4.2091)	Entropy 1.90185 (1.90186)	Top-1 acc 26.953 (24.850)	Top-5 acc 53.125 (48.704)	lr 0.02500
Train [2][100/2134]	Time 0.546 (2.249)	Data Time 0.005 (0.717)	Loss 4.1964 (4.2030)	Entropy 1.90184 (1.90186)	Top-1 acc 26.953 (25.043)	Top-5 acc 48.828 (48.836)	lr 0.02500
Train [2][110/2134]	Time 0.679 (2.130)	Data Time 0.004 (0.653)	Loss 3.9927 (4.2038)	Entropy 1.90184 (1.90186)	Top-1 acc 32.031 (24.996)	Top-5 acc 53.516 (48.811)	lr 0.02500
Train [2][120/2134]	Time 0.514 (2.030)	Data Time 0.004 (0.600)	Loss 4.2858 (4.2067)	Entropy 1.90183 (1.90185)	Top-1 acc 22.266 (24.952)	Top-5 acc 48.047 (48.651)	lr 0.02500
Train [2][130/2134]	Time 0.673 (1.991)	Data Time 0.004 (0.555)	Loss 4.2963 (4.2046)	Entropy 1.90183 (1.90185)	Top-1 acc 26.172 (24.961)	Top-5 acc 45.703 (48.637)	lr 0.02500
Train [2][140/2134]	Time 0.641 (1.915)	Data Time 0.004 (0.516)	Loss 4.0351 (4.2016)	Entropy 1.90183 (1.90185)	Top-1 acc 30.469 (25.017)	Top-5 acc 53.906 (48.734)	lr 0.02500
Train [2][150/2134]	Time 0.625 (1.850)	Data Time 0.003 (0.482)	Loss 4.1412 (4.2067)	Entropy 1.90182 (1.90185)	Top-1 acc 25.781 (24.928)	Top-5 acc 51.953 (48.632)	lr 0.02500
Train [2][160/2134]	Time 0.556 (1.794)	Data Time 0.005 (0.452)	Loss 3.9794 (4.2040)	Entropy 1.90182 (1.90185)	Top-1 acc 29.297 (24.925)	Top-5 acc 55.469 (48.772)	lr 0.02500
Train [2][170/2134]	Time 0.644 (1.745)	Data Time 0.004 (0.427)	Loss 4.2295 (4.2050)	Entropy 1.90181 (1.90185)	Top-1 acc 22.266 (24.954)	Top-5 acc 46.484 (48.741)	lr 0.02500
Train [2][180/2134]	Time 0.667 (1.702)	Data Time 0.004 (0.403)	Loss 3.9884 (4.2032)	Entropy 1.90181 (1.90184)	Top-1 acc 28.516 (25.024)	Top-5 acc 52.344 (48.761)	lr 0.02499
Train [2][190/2134]	Time 0.639 (1.663)	Data Time 0.004 (0.382)	Loss 4.2857 (4.2049)	Entropy 1.90180 (1.90184)	Top-1 acc 27.344 (25.008)	Top-5 acc 45.703 (48.687)	lr 0.02499
Train [2][200/2134]	Time 0.637 (1.626)	Data Time 0.003 (0.363)	Loss 4.2346 (4.2050)	Entropy 1.90179 (1.90184)	Top-1 acc 25.781 (24.986)	Top-5 acc 46.484 (48.702)	lr 0.02499
Train [2][210/2134]	Time 0.531 (1.593)	Data Time 0.004 (0.346)	Loss 4.3144 (4.2095)	Entropy 1.90179 (1.90184)	Top-1 acc 24.219 (24.878)	Top-5 acc 42.969 (48.560)	lr 0.02499
Train [2][220/2134]	Time 0.692 (1.566)	Data Time 0.004 (0.331)	Loss 4.4143 (4.2085)	Entropy 1.90178 (1.90184)	Top-1 acc 21.875 (24.887)	Top-5 acc 44.141 (48.547)	lr 0.02499
Train [2][230/2134]	Time 0.509 (1.539)	Data Time 0.005 (0.317)	Loss 3.9689 (4.2047)	Entropy 1.90177 (1.90183)	Top-1 acc 30.078 (24.995)	Top-5 acc 52.344 (48.651)	lr 0.02499
Train [2][240/2134]	Time 0.563 (1.513)	Data Time 0.004 (0.305)	Loss 4.2777 (4.2045)	Entropy 1.90177 (1.90183)	Top-1 acc 24.219 (24.951)	Top-5 acc 46.484 (48.611)	lr 0.02499
Train [2][250/2134]	Time 0.439 (1.489)	Data Time 0.004 (0.293)	Loss 4.2190 (4.2057)	Entropy 1.90177 (1.90183)	Top-1 acc 26.953 (24.980)	Top-5 acc 50.000 (48.557)	lr 0.02499
Train [2][260/2134]	Time 0.540 (1.468)	Data Time 0.003 (0.282)	Loss 4.1608 (4.2052)	Entropy 1.90176 (1.90183)	Top-1 acc 25.000 (25.022)	Top-5 acc 48.438 (48.577)	lr 0.02499
Train [2][270/2134]	Time 0.471 (1.468)	Data Time 0.004 (0.272)	Loss 4.2037 (4.2040)	Entropy 1.90176 (1.90182)	Top-1 acc 24.219 (25.019)	Top-5 acc 48.438 (48.566)	lr 0.02499
Train [2][280/2134]	Time 0.581 (1.450)	Data Time 0.003 (0.263)	Loss 4.1760 (4.2028)	Entropy 1.90175 (1.90182)	Top-1 acc 21.875 (25.038)	Top-5 acc 50.781 (48.599)	lr 0.02499
Train [2][290/2134]	Time 0.643 (1.433)	Data Time 0.005 (0.254)	Loss 4.3837 (4.2028)	Entropy 1.90174 (1.90182)	Top-1 acc 24.219 (25.070)	Top-5 acc 46.484 (48.623)	lr 0.02499
Train [2][300/2134]	Time 0.622 (1.417)	Data Time 0.003 (0.246)	Loss 4.2597 (4.2034)	Entropy 1.90173 (1.90182)	Top-1 acc 25.000 (25.077)	Top-5 acc 43.750 (48.602)	lr 0.02499
Train [2][310/2134]	Time 0.655 (1.402)	Data Time 0.004 (0.238)	Loss 4.0979 (4.2041)	Entropy 1.90173 (1.90181)	Top-1 acc 30.469 (25.063)	Top-5 acc 49.219 (48.543)	lr 0.02499
Train [2][320/2134]	Time 0.532 (1.387)	Data Time 0.003 (0.231)	Loss 4.2119 (4.2051)	Entropy 1.90172 (1.90181)	Top-1 acc 23.828 (25.092)	Top-5 acc 43.750 (48.508)	lr 0.02499
Train [2][330/2134]	Time 0.672 (1.374)	Data Time 0.003 (0.224)	Loss 4.2232 (4.2043)	Entropy 1.90171 (1.90181)	Top-1 acc 27.344 (25.097)	Top-5 acc 46.875 (48.545)	lr 0.02499
Train [2][340/2134]	Time 0.682 (1.361)	Data Time 0.004 (0.218)	Loss 4.1726 (4.2050)	Entropy 1.90171 (1.90180)	Top-1 acc 26.953 (25.071)	Top-5 acc 50.000 (48.492)	lr 0.02499
Train [2][350/2134]	Time 0.678 (1.350)	Data Time 0.004 (0.212)	Loss 4.1536 (4.2064)	Entropy 1.90170 (1.90180)	Top-1 acc 29.688 (25.073)	Top-5 acc 48.047 (48.461)	lr 0.02499
Train [2][360/2134]	Time 0.649 (1.339)	Data Time 0.003 (0.206)	Loss 4.2031 (4.2053)	Entropy 1.90170 (1.90180)	Top-1 acc 21.484 (25.056)	Top-5 acc 47.656 (48.462)	lr 0.02499
Train [2][370/2134]	Time 0.661 (1.328)	Data Time 0.003 (0.201)	Loss 4.3599 (4.2054)	Entropy 1.90169 (1.90180)	Top-1 acc 21.484 (25.038)	Top-5 acc 45.703 (48.445)	lr 0.02499
Train [2][380/2134]	Time 0.560 (1.317)	Data Time 0.003 (0.195)	Loss 4.1876 (4.2059)	Entropy 1.90168 (1.90179)	Top-1 acc 25.000 (25.001)	Top-5 acc 49.609 (48.434)	lr 0.02499
Train [2][390/2134]	Time 0.641 (1.308)	Data Time 0.003 (0.191)	Loss 4.2209 (4.2054)	Entropy 1.90167 (1.90179)	Top-1 acc 22.656 (25.019)	Top-5 acc 48.828 (48.445)	lr 0.02499
Train [2][400/2134]	Time 0.458 (1.312)	Data Time 0.003 (0.186)	Loss 4.0871 (4.2065)	Entropy 1.90166 (1.90179)	Top-1 acc 27.734 (25.026)	Top-5 acc 52.734 (48.417)	lr 0.02499
Train [2][410/2134]	Time 0.453 (1.303)	Data Time 0.003 (0.182)	Loss 4.3610 (4.2075)	Entropy 1.90165 (1.90178)	Top-1 acc 19.531 (25.030)	Top-5 acc 42.969 (48.391)	lr 0.02499
Train [2][420/2134]	Time 0.479 (1.295)	Data Time 0.003 (0.178)	Loss 4.2848 (4.2075)	Entropy 1.90165 (1.90178)	Top-1 acc 27.344 (25.032)	Top-5 acc 46.094 (48.399)	lr 0.02499
Train [2][430/2134]	Time 0.641 (1.288)	Data Time 0.006 (0.174)	Loss 4.3058 (4.2060)	Entropy 1.90163 (1.90178)	Top-1 acc 24.219 (25.055)	Top-5 acc 44.922 (48.429)	lr 0.02499
Train [2][440/2134]	Time 0.583 (1.420)	Data Time 0.005 (0.171)	Loss 4.3534 (4.2077)	Entropy 1.90162 (1.90177)	Top-1 acc 24.219 (25.042)	Top-5 acc 47.656 (48.398)	lr 0.02499
Train [2][450/2134]	Time 0.672 (1.411)	Data Time 0.004 (0.167)	Loss 4.1237 (4.2073)	Entropy 1.90161 (1.90177)	Top-1 acc 24.609 (25.036)	Top-5 acc 50.391 (48.394)	lr 0.02499
Train [2][460/2134]	Time 0.764 (1.401)	Data Time 0.006 (0.164)	Loss 4.0012 (4.2062)	Entropy 1.90160 (1.90177)	Top-1 acc 27.344 (25.045)	Top-5 acc 50.000 (48.408)	lr 0.02499
Train [2][470/2134]	Time 0.688 (1.392)	Data Time 0.004 (0.160)	Loss 4.2519 (4.2051)	Entropy 1.90159 (1.90176)	Top-1 acc 23.828 (25.062)	Top-5 acc 47.656 (48.445)	lr 0.02499
Train [2][480/2134]	Time 0.601 (1.382)	Data Time 0.005 (0.157)	Loss 4.4172 (4.2059)	Entropy 1.90157 (1.90176)	Top-1 acc 20.703 (25.029)	Top-5 acc 42.578 (48.405)	lr 0.02499
Train [2][490/2134]	Time 0.654 (1.374)	Data Time 0.004 (0.154)	Loss 3.9373 (4.2054)	Entropy 1.90156 (1.90176)	Top-1 acc 32.422 (25.030)	Top-5 acc 53.516 (48.397)	lr 0.02499
Train [2][500/2134]	Time 0.525 (1.366)	Data Time 0.004 (0.151)	Loss 4.2626 (4.2045)	Entropy 1.90155 (1.90175)	Top-1 acc 22.656 (25.040)	Top-5 acc 48.047 (48.409)	lr 0.02499
Train [2][510/2134]	Time 0.370 (1.357)	Data Time 0.004 (0.148)	Loss 4.1978 (4.2056)	Entropy 1.90154 (1.90175)	Top-1 acc 25.391 (25.010)	Top-5 acc 49.219 (48.372)	lr 0.02499
Train [2][520/2134]	Time 0.550 (1.349)	Data Time 0.004 (0.146)	Loss 4.2518 (4.2067)	Entropy 1.90153 (1.90174)	Top-1 acc 23.438 (24.998)	Top-5 acc 46.875 (48.351)	lr 0.02499
Train [2][530/2134]	Time 0.554 (1.342)	Data Time 0.004 (0.143)	Loss 4.3330 (4.2078)	Entropy 1.90152 (1.90174)	Top-1 acc 17.969 (24.980)	Top-5 acc 47.266 (48.340)	lr 0.02499
Train [2][540/2134]	Time 0.629 (1.344)	Data Time 0.004 (0.140)	Loss 4.2921 (4.2082)	Entropy 1.90151 (1.90174)	Top-1 acc 21.875 (24.957)	Top-5 acc 44.141 (48.321)	lr 0.02499
Train [2][550/2134]	Time 0.625 (1.336)	Data Time 0.003 (0.138)	Loss 4.2871 (4.2079)	Entropy 1.90150 (1.90173)	Top-1 acc 23.828 (24.955)	Top-5 acc 46.484 (48.325)	lr 0.02499
Train [2][560/2134]	Time 0.611 (1.329)	Data Time 0.003 (0.136)	Loss 4.0777 (4.2071)	Entropy 1.90149 (1.90173)	Top-1 acc 26.953 (24.979)	Top-5 acc 53.125 (48.341)	lr 0.02499
Train [2][570/2134]	Time 0.573 (1.322)	Data Time 0.003 (0.133)	Loss 4.1366 (4.2064)	Entropy 1.90147 (1.90172)	Top-1 acc 25.781 (24.993)	Top-5 acc 51.953 (48.357)	lr 0.02499
Train [2][580/2134]	Time 0.486 (1.316)	Data Time 0.004 (0.131)	Loss 4.4306 (4.2065)	Entropy 1.90146 (1.90172)	Top-1 acc 21.094 (24.994)	Top-5 acc 42.578 (48.353)	lr 0.02499
Train [2][590/2134]	Time 0.531 (1.310)	Data Time 0.003 (0.129)	Loss 4.2266 (4.2070)	Entropy 1.90145 (1.90171)	Top-1 acc 22.656 (24.978)	Top-5 acc 46.875 (48.341)	lr 0.02499
Train [2][600/2134]	Time 0.641 (1.304)	Data Time 0.004 (0.127)	Loss 4.1917 (4.2064)	Entropy 1.90143 (1.90171)	Top-1 acc 22.266 (24.980)	Top-5 acc 47.266 (48.358)	lr 0.02499
Train [2][610/2134]	Time 0.612 (1.298)	Data Time 0.004 (0.125)	Loss 4.2418 (4.2065)	Entropy 1.90142 (1.90171)	Top-1 acc 22.266 (24.971)	Top-5 acc 47.656 (48.347)	lr 0.02499
Train [2][620/2134]	Time 0.553 (1.293)	Data Time 0.003 (0.123)	Loss 4.2958 (4.2076)	Entropy 1.90141 (1.90170)	Top-1 acc 21.875 (24.965)	Top-5 acc 46.875 (48.329)	lr 0.02499
Train [2][630/2134]	Time 0.646 (1.287)	Data Time 0.003 (0.121)	Loss 4.1385 (4.2077)	Entropy 1.90140 (1.90170)	Top-1 acc 24.219 (24.956)	Top-5 acc 51.562 (48.336)	lr 0.02499
Train [2][640/2134]	Time 0.698 (1.281)	Data Time 0.003 (0.120)	Loss 4.0035 (4.2072)	Entropy 1.90138 (1.90169)	Top-1 acc 26.562 (24.973)	Top-5 acc 55.469 (48.364)	lr 0.02499
Train [2][650/2134]	Time 0.623 (1.276)	Data Time 0.004 (0.118)	Loss 4.1220 (4.2084)	Entropy 1.90136 (1.90169)	Top-1 acc 26.562 (24.955)	Top-5 acc 53.516 (48.331)	lr 0.02499
Train [2][660/2134]	Time 0.630 (1.271)	Data Time 0.004 (0.116)	Loss 4.1193 (4.2089)	Entropy 1.90134 (1.90168)	Top-1 acc 29.297 (24.952)	Top-5 acc 49.609 (48.310)	lr 0.02499
Train [2][670/2134]	Time 0.630 (1.266)	Data Time 0.003 (0.115)	Loss 4.3736 (4.2094)	Entropy 1.90132 (1.90168)	Top-1 acc 21.094 (24.951)	Top-5 acc 49.609 (48.310)	lr 0.02499
Train [2][680/2134]	Time 0.568 (1.268)	Data Time 0.003 (0.113)	Loss 4.0261 (4.2098)	Entropy 1.90131 (1.90167)	Top-1 acc 28.906 (24.939)	Top-5 acc 52.734 (48.309)	lr 0.02499
Train [2][690/2134]	Time 0.622 (1.263)	Data Time 0.004 (0.111)	Loss 4.1147 (4.2093)	Entropy 1.90130 (1.90167)	Top-1 acc 28.516 (24.941)	Top-5 acc 48.828 (48.323)	lr 0.02499
Train [2][700/2134]	Time 0.652 (1.259)	Data Time 0.003 (0.110)	Loss 4.1114 (4.2102)	Entropy 1.90128 (1.90166)	Top-1 acc 23.828 (24.914)	Top-5 acc 51.953 (48.310)	lr 0.02499
Train [2][710/2134]	Time 0.626 (1.254)	Data Time 0.003 (0.108)	Loss 4.0852 (4.2099)	Entropy 1.90126 (1.90165)	Top-1 acc 27.344 (24.910)	Top-5 acc 48.438 (48.322)	lr 0.02499
Train [2][720/2134]	Time 0.495 (1.250)	Data Time 0.003 (0.107)	Loss 4.2407 (4.2085)	Entropy 1.90123 (1.90165)	Top-1 acc 26.172 (24.945)	Top-5 acc 47.656 (48.366)	lr 0.02499
Train [2][730/2134]	Time 0.609 (1.246)	Data Time 0.003 (0.106)	Loss 4.2814 (4.2085)	Entropy 1.90121 (1.90164)	Top-1 acc 24.609 (24.948)	Top-5 acc 45.703 (48.358)	lr 0.02499
Train [2][740/2134]	Time 0.585 (1.242)	Data Time 0.003 (0.104)	Loss 4.1944 (4.2079)	Entropy 1.90120 (1.90164)	Top-1 acc 24.609 (24.953)	Top-5 acc 50.000 (48.365)	lr 0.02499
Train [2][750/2134]	Time 0.483 (1.238)	Data Time 0.003 (0.103)	Loss 4.3492 (4.2079)	Entropy 1.90118 (1.90163)	Top-1 acc 24.609 (24.956)	Top-5 acc 44.531 (48.356)	lr 0.02499
Train [2][760/2134]	Time 0.533 (1.234)	Data Time 0.003 (0.102)	Loss 4.4524 (4.2083)	Entropy 1.90117 (1.90163)	Top-1 acc 17.969 (24.944)	Top-5 acc 44.141 (48.356)	lr 0.02499
Train [2][770/2134]	Time 0.565 (1.230)	Data Time 0.003 (0.101)	Loss 4.4427 (4.2082)	Entropy 1.90114 (1.90162)	Top-1 acc 22.656 (24.943)	Top-5 acc 48.438 (48.362)	lr 0.02499
Train [2][780/2134]	Time 0.424 (1.226)	Data Time 0.003 (0.099)	Loss 4.2481 (4.2086)	Entropy 1.90113 (1.90161)	Top-1 acc 24.219 (24.933)	Top-5 acc 44.922 (48.347)	lr 0.02499
Train [2][790/2134]	Time 0.623 (1.222)	Data Time 0.003 (0.098)	Loss 4.1105 (4.2094)	Entropy 1.90111 (1.90161)	Top-1 acc 26.562 (24.914)	Top-5 acc 48.828 (48.331)	lr 0.02499
Train [2][800/2134]	Time 0.495 (1.219)	Data Time 0.004 (0.097)	Loss 4.2057 (4.2102)	Entropy 1.90109 (1.90160)	Top-1 acc 25.391 (24.892)	Top-5 acc 46.484 (48.312)	lr 0.02499
Train [2][810/2134]	Time 0.647 (1.216)	Data Time 0.003 (0.096)	Loss 4.2443 (4.2103)	Entropy 1.90108 (1.90159)	Top-1 acc 23.438 (24.894)	Top-5 acc 47.266 (48.294)	lr 0.02499
Train [2][820/2134]	Time 0.485 (1.217)	Data Time 0.003 (0.095)	Loss 4.2814 (4.2110)	Entropy 1.90106 (1.90159)	Top-1 acc 23.438 (24.887)	Top-5 acc 46.484 (48.270)	lr 0.02499
Train [2][830/2134]	Time 0.502 (1.214)	Data Time 0.003 (0.094)	Loss 4.1888 (4.2106)	Entropy 1.90103 (1.90158)	Top-1 acc 25.781 (24.896)	Top-5 acc 51.172 (48.278)	lr 0.02499
Train [2][840/2134]	Time 0.613 (1.211)	Data Time 0.004 (0.093)	Loss 4.2961 (4.2106)	Entropy 1.90101 (1.90157)	Top-1 acc 24.609 (24.901)	Top-5 acc 45.312 (48.281)	lr 0.02499
Train [2][850/2134]	Time 0.452 (1.208)	Data Time 0.003 (0.092)	Loss 4.4098 (4.2117)	Entropy 1.90099 (1.90157)	Top-1 acc 20.703 (24.883)	Top-5 acc 45.703 (48.264)	lr 0.02499
Train [2][860/2134]	Time 0.701 (1.205)	Data Time 0.003 (0.091)	Loss 4.2341 (4.2119)	Entropy 1.90097 (1.90156)	Top-1 acc 22.266 (24.867)	Top-5 acc 48.047 (48.256)	lr 0.02499
Train [2][870/2134]	Time 0.666 (1.522)	Data Time 0.004 (0.090)	Loss 4.2303 (4.2120)	Entropy 1.90095 (1.90155)	Top-1 acc 23.828 (24.861)	Top-5 acc 44.141 (48.250)	lr 0.02499
Train [2][880/2134]	Time 0.675 (1.516)	Data Time 0.004 (0.089)	Loss 4.4550 (4.2127)	Entropy 1.90091 (1.90155)	Top-1 acc 19.531 (24.843)	Top-5 acc 40.625 (48.231)	lr 0.02499
Train [2][890/2134]	Time 0.532 (1.510)	Data Time 0.006 (0.088)	Loss 4.1726 (4.2126)	Entropy 1.90089 (1.90154)	Top-1 acc 25.391 (24.843)	Top-5 acc 45.703 (48.229)	lr 0.02499
Train [2][900/2134]	Time 0.441 (1.504)	Data Time 0.005 (0.088)	Loss 4.1161 (4.2127)	Entropy 1.90089 (1.90153)	Top-1 acc 28.125 (24.834)	Top-5 acc 51.172 (48.226)	lr 0.02499
Train [2][910/2134]	Time 0.736 (1.498)	Data Time 0.003 (0.087)	Loss 3.9777 (4.2120)	Entropy 1.90087 (1.90153)	Top-1 acc 31.250 (24.849)	Top-5 acc 52.734 (48.242)	lr 0.02499
Train [2][920/2134]	Time 0.535 (1.492)	Data Time 0.003 (0.086)	Loss 4.3068 (4.2120)	Entropy 1.90085 (1.90152)	Top-1 acc 25.781 (24.851)	Top-5 acc 50.781 (48.238)	lr 0.02499
Train [2][930/2134]	Time 0.488 (1.486)	Data Time 0.003 (0.085)	Loss 4.3824 (4.2129)	Entropy 1.90083 (1.90151)	Top-1 acc 18.359 (24.825)	Top-5 acc 41.016 (48.212)	lr 0.02499
Train [2][940/2134]	Time 0.503 (1.480)	Data Time 0.003 (0.085)	Loss 4.0396 (4.2127)	Entropy 1.90080 (1.90150)	Top-1 acc 29.688 (24.836)	Top-5 acc 49.609 (48.210)	lr 0.02499
Train [2][950/2134]	Time 0.546 (1.474)	Data Time 0.003 (0.084)	Loss 4.2319 (4.2127)	Entropy 1.90079 (1.90150)	Top-1 acc 21.875 (24.824)	Top-5 acc 47.656 (48.200)	lr 0.02499
Train [2][960/2134]	Time 0.602 (1.474)	Data Time 0.003 (0.083)	Loss 4.0908 (4.2131)	Entropy 1.90078 (1.90149)	Top-1 acc 26.562 (24.806)	Top-5 acc 49.219 (48.190)	lr 0.02499
Train [2][970/2134]	Time 0.663 (1.468)	Data Time 0.003 (0.082)	Loss 3.9655 (4.2127)	Entropy 1.90074 (1.90148)	Top-1 acc 29.297 (24.823)	Top-5 acc 55.859 (48.197)	lr 0.02499
Train [2][980/2134]	Time 0.620 (1.463)	Data Time 0.003 (0.082)	Loss 4.2845 (4.2130)	Entropy 1.90073 (1.90147)	Top-1 acc 23.828 (24.818)	Top-5 acc 48.047 (48.190)	lr 0.02499
Train [2][990/2134]	Time 0.569 (1.458)	Data Time 0.003 (0.081)	Loss 4.2602 (4.2131)	Entropy 1.90071 (1.90147)	Top-1 acc 23.438 (24.812)	Top-5 acc 48.438 (48.187)	lr 0.02499
Train [2][1000/2134]	Time 0.639 (1.453)	Data Time 0.004 (0.080)	Loss 4.1042 (4.2135)	Entropy 1.90068 (1.90146)	Top-1 acc 31.250 (24.814)	Top-5 acc 50.781 (48.172)	lr 0.02499
Train [2][1010/2134]	Time 0.669 (1.448)	Data Time 0.004 (0.079)	Loss 3.9622 (4.2131)	Entropy 1.90066 (1.90145)	Top-1 acc 28.516 (24.816)	Top-5 acc 55.469 (48.186)	lr 0.02499
Train [2][1020/2134]	Time 0.453 (1.443)	Data Time 0.003 (0.079)	Loss 4.2788 (4.2137)	Entropy 1.90064 (1.90144)	Top-1 acc 24.609 (24.808)	Top-5 acc 45.703 (48.171)	lr 0.02499
Train [2][1030/2134]	Time 0.687 (1.438)	Data Time 0.003 (0.078)	Loss 4.2350 (4.2142)	Entropy 1.90062 (1.90144)	Top-1 acc 24.219 (24.790)	Top-5 acc 46.875 (48.154)	lr 0.02499
Train [2][1040/2134]	Time 0.648 (1.433)	Data Time 0.003 (0.077)	Loss 4.2160 (4.2140)	Entropy 1.90060 (1.90143)	Top-1 acc 22.266 (24.778)	Top-5 acc 46.484 (48.155)	lr 0.02499
Train [2][1050/2134]	Time 0.631 (1.429)	Data Time 0.003 (0.077)	Loss 4.1152 (4.2137)	Entropy 1.90058 (1.90142)	Top-1 acc 23.438 (24.780)	Top-5 acc 50.781 (48.168)	lr 0.02499
Train [2][1060/2134]	Time 0.538 (1.424)	Data Time 0.003 (0.076)	Loss 4.4410 (4.2135)	Entropy 1.90053 (1.90141)	Top-1 acc 22.266 (24.788)	Top-5 acc 42.578 (48.170)	lr 0.02499
Train [2][1070/2134]	Time 0.655 (1.420)	Data Time 0.003 (0.075)	Loss 3.9582 (4.2131)	Entropy 1.90051 (1.90140)	Top-1 acc 25.781 (24.798)	Top-5 acc 54.297 (48.193)	lr 0.02499
Train [2][1080/2134]	Time 0.608 (1.415)	Data Time 0.003 (0.075)	Loss 4.2820 (4.2136)	Entropy 1.90047 (1.90139)	Top-1 acc 22.656 (24.791)	Top-5 acc 46.484 (48.174)	lr 0.02499
Train [2][1090/2134]	Time 0.595 (1.415)	Data Time 0.003 (0.074)	Loss 4.0314 (4.2132)	Entropy 1.90046 (1.90139)	Top-1 acc 28.906 (24.798)	Top-5 acc 54.688 (48.185)	lr 0.02499
Train [2][1100/2134]	Time 0.467 (1.411)	Data Time 0.003 (0.074)	Loss 4.1416 (4.2133)	Entropy 1.90045 (1.90138)	Top-1 acc 28.125 (24.796)	Top-5 acc 50.000 (48.194)	lr 0.02499
Train [2][1110/2134]	Time 0.555 (1.407)	Data Time 0.002 (0.073)	Loss 4.1156 (4.2131)	Entropy 1.90043 (1.90137)	Top-1 acc 24.609 (24.796)	Top-5 acc 48.047 (48.199)	lr 0.02499
Train [2][1120/2134]	Time 0.532 (1.402)	Data Time 0.003 (0.072)	Loss 4.0794 (4.2134)	Entropy 1.90041 (1.90136)	Top-1 acc 25.781 (24.798)	Top-5 acc 50.781 (48.201)	lr 0.02499
Train [2][1130/2134]	Time 0.511 (1.398)	Data Time 0.002 (0.072)	Loss 4.2909 (4.2135)	Entropy 1.90040 (1.90135)	Top-1 acc 23.828 (24.802)	Top-5 acc 43.750 (48.201)	lr 0.02499
Train [2][1140/2134]	Time 0.650 (1.394)	Data Time 0.002 (0.071)	Loss 4.0283 (4.2129)	Entropy 1.90037 (1.90134)	Top-1 acc 31.250 (24.805)	Top-5 acc 53.906 (48.221)	lr 0.02499
Train [2][1150/2134]	Time 0.467 (1.390)	Data Time 0.004 (0.071)	Loss 4.1689 (4.2132)	Entropy 1.90034 (1.90134)	Top-1 acc 19.922 (24.799)	Top-5 acc 49.609 (48.211)	lr 0.02499
Train [2][1160/2134]	Time 0.674 (1.386)	Data Time 0.003 (0.070)	Loss 3.9839 (4.2129)	Entropy 1.90031 (1.90133)	Top-1 acc 28.516 (24.793)	Top-5 acc 53.516 (48.221)	lr 0.02499
Train [2][1170/2134]	Time 0.438 (1.382)	Data Time 0.003 (0.070)	Loss 4.4213 (4.2125)	Entropy 1.90028 (1.90132)	Top-1 acc 19.531 (24.806)	Top-5 acc 42.969 (48.233)	lr 0.02499
Train [2][1180/2134]	Time 0.391 (1.379)	Data Time 0.003 (0.069)	Loss 4.0422 (4.2121)	Entropy 1.90024 (1.90131)	Top-1 acc 25.000 (24.811)	Top-5 acc 53.125 (48.242)	lr 0.02499
Train [2][1190/2134]	Time 0.363 (1.375)	Data Time 0.002 (0.069)	Loss 4.1089 (4.2123)	Entropy 1.90021 (1.90130)	Top-1 acc 27.344 (24.810)	Top-5 acc 49.219 (48.234)	lr 0.02499
Train [2][1200/2134]	Time 0.553 (1.371)	Data Time 0.003 (0.068)	Loss 4.1485 (4.2117)	Entropy 1.90019 (1.90129)	Top-1 acc 24.609 (24.813)	Top-5 acc 47.656 (48.249)	lr 0.02499
Train [2][1210/2134]	Time 0.625 (1.367)	Data Time 0.003 (0.068)	Loss 4.1884 (4.2113)	Entropy 1.90016 (1.90128)	Top-1 acc 28.516 (24.819)	Top-5 acc 47.656 (48.264)	lr 0.02499
Train [2][1220/2134]	Time 0.670 (1.364)	Data Time 0.003 (0.067)	Loss 4.0423 (4.2109)	Entropy 1.90012 (1.90127)	Top-1 acc 27.734 (24.825)	Top-5 acc 50.000 (48.273)	lr 0.02499
Train [2][1230/2134]	Time 0.623 (1.364)	Data Time 0.002 (0.067)	Loss 4.1022 (4.2106)	Entropy 1.90010 (1.90126)	Top-1 acc 24.609 (24.830)	Top-5 acc 51.953 (48.287)	lr 0.02499
Train [2][1240/2134]	Time 0.452 (1.361)	Data Time 0.002 (0.066)	Loss 4.2500 (4.2106)	Entropy 1.90008 (1.90125)	Top-1 acc 24.609 (24.828)	Top-5 acc 46.875 (48.294)	lr 0.02499
Train [2][1250/2134]	Time 0.624 (1.357)	Data Time 0.002 (0.066)	Loss 4.0858 (4.2104)	Entropy 1.90005 (1.90124)	Top-1 acc 25.000 (24.837)	Top-5 acc 53.516 (48.301)	lr 0.02499
Train [2][1260/2134]	Time 0.582 (1.354)	Data Time 0.002 (0.066)	Loss 4.3353 (4.2106)	Entropy 1.90002 (1.90123)	Top-1 acc 23.828 (24.844)	Top-5 acc 46.094 (48.296)	lr 0.02499
Train [2][1270/2134]	Time 0.595 (1.351)	Data Time 0.005 (0.065)	Loss 4.3726 (4.2103)	Entropy 1.90000 (1.90123)	Top-1 acc 23.047 (24.858)	Top-5 acc 46.484 (48.303)	lr 0.02499
Train [2][1280/2134]	Time 0.659 (1.348)	Data Time 0.002 (0.065)	Loss 4.3152 (4.2107)	Entropy 1.89999 (1.90122)	Top-1 acc 22.266 (24.853)	Top-5 acc 46.875 (48.299)	lr 0.02499
Train [2][1290/2134]	Time 0.681 (1.344)	Data Time 0.002 (0.064)	Loss 4.3433 (4.2108)	Entropy 1.89997 (1.90121)	Top-1 acc 22.656 (24.851)	Top-5 acc 44.141 (48.292)	lr 0.02499
Train [2][1300/2134]	Time 0.712 (1.443)	Data Time 0.004 (0.064)	Loss 4.2333 (4.2107)	Entropy 1.89992 (1.90120)	Top-1 acc 26.172 (24.860)	Top-5 acc 44.141 (48.294)	lr 0.02499
Train [2][1310/2134]	Time 0.623 (1.440)	Data Time 0.003 (0.063)	Loss 4.2718 (4.2105)	Entropy 1.89991 (1.90119)	Top-1 acc 23.438 (24.865)	Top-5 acc 44.141 (48.300)	lr 0.02499
Train [2][1320/2134]	Time 0.632 (1.436)	Data Time 0.008 (0.063)	Loss 4.2511 (4.2107)	Entropy 1.89987 (1.90118)	Top-1 acc 23.438 (24.862)	Top-5 acc 44.141 (48.289)	lr 0.02499
Train [2][1330/2134]	Time 0.512 (1.432)	Data Time 0.003 (0.062)	Loss 4.0575 (4.2108)	Entropy 1.89984 (1.90117)	Top-1 acc 26.172 (24.861)	Top-5 acc 51.953 (48.285)	lr 0.02499
Train [2][1340/2134]	Time 0.622 (1.428)	Data Time 0.003 (0.062)	Loss 4.1720 (4.2105)	Entropy 1.89981 (1.90116)	Top-1 acc 25.781 (24.865)	Top-5 acc 46.875 (48.290)	lr 0.02499
Train [2][1350/2134]	Time 0.580 (1.425)	Data Time 0.004 (0.062)	Loss 4.1104 (4.2099)	Entropy 1.89979 (1.90115)	Top-1 acc 26.172 (24.881)	Top-5 acc 48.828 (48.299)	lr 0.02499
Train [2][1360/2134]	Time 0.688 (1.421)	Data Time 0.003 (0.061)	Loss 4.1135 (4.2099)	Entropy 1.89976 (1.90114)	Top-1 acc 27.344 (24.887)	Top-5 acc 50.391 (48.295)	lr 0.02499
Train [2][1370/2134]	Time 0.603 (1.421)	Data Time 0.002 (0.061)	Loss 4.2158 (4.2101)	Entropy 1.89974 (1.90113)	Top-1 acc 24.609 (24.874)	Top-5 acc 47.266 (48.288)	lr 0.02499
Train [2][1380/2134]	Time 0.661 (1.418)	Data Time 0.002 (0.060)	Loss 4.0932 (4.2099)	Entropy 1.89971 (1.90112)	Top-1 acc 27.344 (24.876)	Top-5 acc 50.781 (48.293)	lr 0.02499
Train [2][1390/2134]	Time 0.598 (1.414)	Data Time 0.002 (0.060)	Loss 4.2174 (4.2100)	Entropy 1.89970 (1.90111)	Top-1 acc 25.000 (24.872)	Top-5 acc 50.391 (48.290)	lr 0.02499
Train [2][1400/2134]	Time 0.644 (1.411)	Data Time 0.003 (0.060)	Loss 4.1432 (4.2098)	Entropy 1.89968 (1.90110)	Top-1 acc 23.828 (24.869)	Top-5 acc 49.219 (48.300)	lr 0.02499
Train [2][1410/2134]	Time 0.532 (1.408)	Data Time 0.002 (0.059)	Loss 4.1249 (4.2097)	Entropy 1.89963 (1.90109)	Top-1 acc 27.344 (24.871)	Top-5 acc 47.266 (48.300)	lr 0.02499
Train [2][1420/2134]	Time 0.710 (1.405)	Data Time 0.002 (0.059)	Loss 4.1171 (4.2097)	Entropy 1.89961 (1.90108)	Top-1 acc 25.781 (24.871)	Top-5 acc 50.000 (48.302)	lr 0.02499
Train [2][1430/2134]	Time 0.767 (1.401)	Data Time 0.002 (0.058)	Loss 4.1791 (4.2095)	Entropy 1.89960 (1.90107)	Top-1 acc 28.906 (24.873)	Top-5 acc 51.172 (48.304)	lr 0.02499
Train [2][1440/2134]	Time 0.637 (1.398)	Data Time 0.003 (0.058)	Loss 4.3274 (4.2093)	Entropy 1.89957 (1.90106)	Top-1 acc 22.266 (24.881)	Top-5 acc 45.312 (48.305)	lr 0.02499
Train [2][1450/2134]	Time 0.705 (1.395)	Data Time 0.002 (0.058)	Loss 4.4678 (4.2093)	Entropy 1.89954 (1.90105)	Top-1 acc 19.141 (24.881)	Top-5 acc 41.016 (48.306)	lr 0.02499
Train [2][1460/2134]	Time 0.639 (1.392)	Data Time 0.002 (0.057)	Loss 4.1480 (4.2095)	Entropy 1.89952 (1.90103)	Top-1 acc 28.125 (24.888)	Top-5 acc 48.438 (48.305)	lr 0.02499
Train [2][1470/2134]	Time 0.574 (1.389)	Data Time 0.006 (0.057)	Loss 4.2136 (4.2089)	Entropy 1.89950 (1.90102)	Top-1 acc 24.219 (24.897)	Top-5 acc 46.484 (48.314)	lr 0.02499
Train [2][1480/2134]	Time 0.637 (1.386)	Data Time 0.003 (0.057)	Loss 4.2250 (4.2088)	Entropy 1.89948 (1.90101)	Top-1 acc 27.344 (24.905)	Top-5 acc 49.609 (48.315)	lr 0.02499
Train [2][1490/2134]	Time 0.605 (1.383)	Data Time 0.002 (0.056)	Loss 4.1969 (4.2083)	Entropy 1.89944 (1.90100)	Top-1 acc 26.172 (24.910)	Top-5 acc 48.828 (48.334)	lr 0.02499
Train [2][1500/2134]	Time 0.606 (1.380)	Data Time 0.003 (0.056)	Loss 4.3190 (4.2081)	Entropy 1.89942 (1.90099)	Top-1 acc 23.438 (24.909)	Top-5 acc 47.656 (48.335)	lr 0.02499
Train [2][1510/2134]	Time 0.641 (1.380)	Data Time 0.002 (0.056)	Loss 3.9583 (4.2077)	Entropy 1.89939 (1.90098)	Top-1 acc 30.469 (24.910)	Top-5 acc 54.688 (48.345)	lr 0.02499
Train [2][1520/2134]	Time 0.567 (1.377)	Data Time 0.002 (0.055)	Loss 4.1669 (4.2075)	Entropy 1.89936 (1.90097)	Top-1 acc 26.953 (24.923)	Top-5 acc 49.609 (48.352)	lr 0.02499
Train [2][1530/2134]	Time 0.592 (1.374)	Data Time 0.002 (0.055)	Loss 4.0618 (4.2074)	Entropy 1.89934 (1.90096)	Top-1 acc 25.000 (24.931)	Top-5 acc 51.562 (48.351)	lr 0.02499
Train [2][1540/2134]	Time 0.601 (1.371)	Data Time 0.002 (0.055)	Loss 4.2052 (4.2074)	Entropy 1.89932 (1.90095)	Top-1 acc 20.703 (24.925)	Top-5 acc 49.219 (48.358)	lr 0.02499
Train [2][1550/2134]	Time 0.624 (1.369)	Data Time 0.002 (0.054)	Loss 4.2072 (4.2070)	Entropy 1.89927 (1.90094)	Top-1 acc 26.562 (24.935)	Top-5 acc 47.266 (48.368)	lr 0.02499
Train [2][1560/2134]	Time 0.674 (1.366)	Data Time 0.002 (0.054)	Loss 4.2581 (4.2066)	Entropy 1.89924 (1.90093)	Top-1 acc 25.781 (24.949)	Top-5 acc 49.219 (48.379)	lr 0.02499
Train [2][1570/2134]	Time 0.526 (1.363)	Data Time 0.002 (0.054)	Loss 4.0605 (4.2067)	Entropy 1.89919 (1.90092)	Top-1 acc 29.297 (24.949)	Top-5 acc 52.734 (48.375)	lr 0.02499
Train [2][1580/2134]	Time 0.541 (1.361)	Data Time 0.002 (0.053)	Loss 4.0524 (4.2062)	Entropy 1.89917 (1.90091)	Top-1 acc 27.344 (24.962)	Top-5 acc 50.000 (48.391)	lr 0.02499
Train [2][1590/2134]	Time 0.468 (1.358)	Data Time 0.002 (0.053)	Loss 4.2542 (4.2060)	Entropy 1.89915 (1.90090)	Top-1 acc 26.172 (24.969)	Top-5 acc 46.484 (48.393)	lr 0.02499
Train [2][1600/2134]	Time 0.707 (1.356)	Data Time 0.002 (0.053)	Loss 4.2098 (4.2057)	Entropy 1.89912 (1.90089)	Top-1 acc 24.219 (24.971)	Top-5 acc 44.531 (48.396)	lr 0.02499
Train [2][1610/2134]	Time 0.693 (1.353)	Data Time 0.002 (0.053)	Loss 4.3320 (4.2056)	Entropy 1.89908 (1.90087)	Top-1 acc 20.312 (24.970)	Top-5 acc 45.312 (48.398)	lr 0.02499
Train [2][1620/2134]	Time 0.506 (1.350)	Data Time 0.002 (0.052)	Loss 4.1372 (4.2057)	Entropy 1.89906 (1.90086)	Top-1 acc 26.562 (24.961)	Top-5 acc 51.562 (48.401)	lr 0.02499
Train [2][1630/2134]	Time 0.672 (1.348)	Data Time 0.002 (0.052)	Loss 4.1268 (4.2053)	Entropy 1.89905 (1.90085)	Top-1 acc 28.516 (24.966)	Top-5 acc 51.172 (48.409)	lr 0.02499
Train [2][1640/2134]	Time 0.470 (1.346)	Data Time 0.002 (0.052)	Loss 4.3180 (4.2058)	Entropy 1.89902 (1.90084)	Top-1 acc 21.875 (24.955)	Top-5 acc 48.047 (48.400)	lr 0.02499
Train [2][1650/2134]	Time 0.603 (1.346)	Data Time 0.002 (0.052)	Loss 4.1784 (4.2054)	Entropy 1.89900 (1.90083)	Top-1 acc 25.000 (24.965)	Top-5 acc 47.656 (48.407)	lr 0.02499
Train [2][1660/2134]	Time 0.587 (1.343)	Data Time 0.002 (0.051)	Loss 4.2213 (4.2052)	Entropy 1.89896 (1.90082)	Top-1 acc 23.438 (24.968)	Top-5 acc 50.391 (48.413)	lr 0.02499
Train [2][1670/2134]	Time 0.616 (1.341)	Data Time 0.002 (0.051)	Loss 4.1049 (4.2053)	Entropy 1.89894 (1.90081)	Top-1 acc 27.344 (24.968)	Top-5 acc 51.562 (48.407)	lr 0.02499
Train [2][1680/2134]	Time 0.558 (1.338)	Data Time 0.003 (0.051)	Loss 4.1634 (4.2053)	Entropy 1.89890 (1.90080)	Top-1 acc 25.000 (24.968)	Top-5 acc 45.312 (48.404)	lr 0.02499
Train [2][1690/2134]	Time 0.517 (1.336)	Data Time 0.002 (0.050)	Loss 4.1859 (4.2055)	Entropy 1.89888 (1.90079)	Top-1 acc 25.391 (24.966)	Top-5 acc 54.297 (48.405)	lr 0.02499
Train [2][1700/2134]	Time 0.540 (1.334)	Data Time 0.002 (0.050)	Loss 4.2667 (4.2054)	Entropy 1.89885 (1.90077)	Top-1 acc 25.000 (24.972)	Top-5 acc 46.484 (48.409)	lr 0.02499
Train [2][1710/2134]	Time 0.537 (1.331)	Data Time 0.002 (0.050)	Loss 4.0011 (4.2050)	Entropy 1.89883 (1.90076)	Top-1 acc 28.516 (24.982)	Top-5 acc 55.078 (48.421)	lr 0.02499
Train [2][1720/2134]	Time 0.601 (1.329)	Data Time 0.003 (0.050)	Loss 4.2347 (4.2046)	Entropy 1.89882 (1.90075)	Top-1 acc 21.875 (24.987)	Top-5 acc 47.266 (48.427)	lr 0.02499
Train [2][1730/2134]	Time 0.575 (1.405)	Data Time 0.006 (0.050)	Loss 4.0836 (4.2043)	Entropy 1.89879 (1.90074)	Top-1 acc 24.219 (24.996)	Top-5 acc 56.250 (48.440)	lr 0.02499
Train [2][1740/2134]	Time 0.683 (1.403)	Data Time 0.004 (0.049)	Loss 4.3329 (4.2043)	Entropy 1.89877 (1.90073)	Top-1 acc 26.953 (24.994)	Top-5 acc 47.266 (48.438)	lr 0.02499
Train [2][1750/2134]	Time 0.608 (1.400)	Data Time 0.002 (0.049)	Loss 4.3041 (4.2042)	Entropy 1.89874 (1.90072)	Top-1 acc 21.875 (24.993)	Top-5 acc 48.047 (48.442)	lr 0.02499
Train [2][1760/2134]	Time 0.482 (1.398)	Data Time 0.003 (0.049)	Loss 4.1046 (4.2039)	Entropy 1.89872 (1.90071)	Top-1 acc 26.172 (25.000)	Top-5 acc 47.656 (48.440)	lr 0.02499
Train [2][1770/2134]	Time 0.617 (1.395)	Data Time 0.002 (0.049)	Loss 4.1452 (4.2035)	Entropy 1.89870 (1.90070)	Top-1 acc 27.344 (25.007)	Top-5 acc 48.047 (48.447)	lr 0.02499
Train [2][1780/2134]	Time 0.686 (1.393)	Data Time 0.002 (0.048)	Loss 4.1924 (4.2035)	Entropy 1.89866 (1.90068)	Top-1 acc 25.391 (25.008)	Top-5 acc 50.391 (48.445)	lr 0.02499
Train [2][1790/2134]	Time 0.677 (1.393)	Data Time 0.002 (0.048)	Loss 4.0651 (4.2037)	Entropy 1.89861 (1.90067)	Top-1 acc 25.391 (25.008)	Top-5 acc 47.656 (48.436)	lr 0.02499
Train [2][1800/2134]	Time 0.696 (1.391)	Data Time 0.002 (0.048)	Loss 4.1581 (4.2035)	Entropy 1.89856 (1.90066)	Top-1 acc 28.125 (25.013)	Top-5 acc 51.562 (48.453)	lr 0.02499
Train [2][1810/2134]	Time 0.515 (1.388)	Data Time 0.002 (0.048)	Loss 4.0838 (4.2032)	Entropy 1.89854 (1.90065)	Top-1 acc 27.344 (25.019)	Top-5 acc 51.172 (48.458)	lr 0.02499
Train [2][1820/2134]	Time 0.600 (1.386)	Data Time 0.002 (0.047)	Loss 4.1427 (4.2032)	Entropy 1.89850 (1.90064)	Top-1 acc 24.609 (25.023)	Top-5 acc 48.047 (48.462)	lr 0.02499
Train [2][1830/2134]	Time 0.687 (1.383)	Data Time 0.002 (0.047)	Loss 4.1418 (4.2032)	Entropy 1.89846 (1.90063)	Top-1 acc 27.344 (25.023)	Top-5 acc 51.172 (48.466)	lr 0.02499
Train [2][1840/2134]	Time 0.618 (1.381)	Data Time 0.003 (0.047)	Loss 4.1652 (4.2031)	Entropy 1.89844 (1.90061)	Top-1 acc 21.484 (25.027)	Top-5 acc 53.125 (48.468)	lr 0.02499
Train [2][1850/2134]	Time 0.613 (1.379)	Data Time 0.002 (0.047)	Loss 4.0016 (4.2030)	Entropy 1.89839 (1.90060)	Top-1 acc 27.734 (25.032)	Top-5 acc 54.297 (48.477)	lr 0.02499
Train [2][1860/2134]	Time 0.534 (1.376)	Data Time 0.002 (0.046)	Loss 4.2367 (4.2029)	Entropy 1.89835 (1.90059)	Top-1 acc 21.875 (25.033)	Top-5 acc 44.922 (48.478)	lr 0.02499
Train [2][1870/2134]	Time 0.525 (1.374)	Data Time 0.003 (0.046)	Loss 4.1496 (4.2026)	Entropy 1.89832 (1.90058)	Top-1 acc 26.172 (25.040)	Top-5 acc 48.828 (48.490)	lr 0.02498
Train [2][1880/2134]	Time 0.654 (1.371)	Data Time 0.002 (0.046)	Loss 4.2506 (4.2029)	Entropy 1.89829 (1.90057)	Top-1 acc 25.391 (25.046)	Top-5 acc 48.047 (48.484)	lr 0.02498
Train [2][1890/2134]	Time 0.587 (1.369)	Data Time 0.002 (0.046)	Loss 4.2109 (4.2030)	Entropy 1.89826 (1.90055)	Top-1 acc 23.047 (25.040)	Top-5 acc 47.656 (48.484)	lr 0.02498
Train [2][1900/2134]	Time 0.658 (1.367)	Data Time 0.002 (0.046)	Loss 4.2286 (4.2032)	Entropy 1.89825 (1.90054)	Top-1 acc 23.828 (25.037)	Top-5 acc 49.219 (48.476)	lr 0.02498
Train [2][1910/2134]	Time 0.521 (1.364)	Data Time 0.002 (0.045)	Loss 3.9527 (4.2030)	Entropy 1.89822 (1.90053)	Top-1 acc 27.344 (25.040)	Top-5 acc 55.859 (48.487)	lr 0.02498
Train [2][1920/2134]	Time 0.602 (1.362)	Data Time 0.002 (0.045)	Loss 4.1424 (4.2031)	Entropy 1.89816 (1.90052)	Top-1 acc 22.266 (25.038)	Top-5 acc 50.391 (48.486)	lr 0.02498
Train [2][1930/2134]	Time 0.650 (1.362)	Data Time 0.003 (0.045)	Loss 4.0422 (4.2028)	Entropy 1.89815 (1.90051)	Top-1 acc 25.391 (25.040)	Top-5 acc 50.391 (48.493)	lr 0.02498
Train [2][1940/2134]	Time 0.704 (1.360)	Data Time 0.002 (0.045)	Loss 4.0879 (4.2029)	Entropy 1.89813 (1.90049)	Top-1 acc 28.906 (25.040)	Top-5 acc 51.953 (48.489)	lr 0.02498
Train [2][1950/2134]	Time 0.606 (1.358)	Data Time 0.002 (0.045)	Loss 4.3386 (4.2030)	Entropy 1.89806 (1.90048)	Top-1 acc 23.828 (25.033)	Top-5 acc 45.312 (48.488)	lr 0.02498
Train [2][1960/2134]	Time 0.583 (1.356)	Data Time 0.002 (0.044)	Loss 4.2425 (4.2028)	Entropy 1.89803 (1.90047)	Top-1 acc 25.781 (25.034)	Top-5 acc 47.266 (48.494)	lr 0.02498
Train [2][1970/2134]	Time 0.606 (1.354)	Data Time 0.002 (0.044)	Loss 4.1630 (4.2026)	Entropy 1.89798 (1.90046)	Top-1 acc 27.734 (25.041)	Top-5 acc 49.219 (48.496)	lr 0.02498
Train [2][1980/2134]	Time 0.645 (1.352)	Data Time 0.005 (0.044)	Loss 3.9990 (4.2024)	Entropy 1.89793 (1.90044)	Top-1 acc 30.078 (25.056)	Top-5 acc 53.516 (48.502)	lr 0.02498
Train [2][1990/2134]	Time 0.589 (1.350)	Data Time 0.003 (0.044)	Loss 4.2360 (4.2023)	Entropy 1.89789 (1.90043)	Top-1 acc 24.609 (25.061)	Top-5 acc 50.391 (48.505)	lr 0.02498
Train [2][2000/2134]	Time 0.381 (1.347)	Data Time 0.003 (0.044)	Loss 4.1380 (4.2019)	Entropy 1.89785 (1.90042)	Top-1 acc 30.078 (25.069)	Top-5 acc 51.562 (48.518)	lr 0.02498
Train [2][2010/2134]	Time 0.601 (1.345)	Data Time 0.003 (0.043)	Loss 4.3439 (4.2019)	Entropy 1.89783 (1.90041)	Top-1 acc 21.094 (25.068)	Top-5 acc 46.875 (48.513)	lr 0.02498
Train [2][2020/2134]	Time 0.609 (1.344)	Data Time 0.002 (0.043)	Loss 4.2247 (4.2020)	Entropy 1.89779 (1.90039)	Top-1 acc 25.391 (25.069)	Top-5 acc 48.438 (48.511)	lr 0.02498
Train [2][2030/2134]	Time 0.577 (1.342)	Data Time 0.004 (0.043)	Loss 4.1172 (4.2019)	Entropy 1.89775 (1.90038)	Top-1 acc 25.000 (25.068)	Top-5 acc 50.391 (48.517)	lr 0.02498
Train [2][2040/2134]	Time 0.658 (1.340)	Data Time 0.002 (0.043)	Loss 4.2786 (4.2018)	Entropy 1.89768 (1.90037)	Top-1 acc 23.828 (25.069)	Top-5 acc 49.609 (48.520)	lr 0.02498
Train [2][2050/2134]	Time 0.666 (1.338)	Data Time 0.002 (0.043)	Loss 4.2561 (4.2018)	Entropy 1.89764 (1.90035)	Top-1 acc 22.266 (25.070)	Top-5 acc 46.875 (48.521)	lr 0.02498
Train [2][2060/2134]	Time 0.616 (1.336)	Data Time 0.002 (0.042)	Loss 4.1106 (4.2018)	Entropy 1.89759 (1.90034)	Top-1 acc 25.391 (25.068)	Top-5 acc 50.000 (48.516)	lr 0.02498
Train [2][2070/2134]	Time 0.487 (1.336)	Data Time 0.002 (0.042)	Loss 4.1602 (4.2017)	Entropy 1.89754 (1.90033)	Top-1 acc 28.516 (25.071)	Top-5 acc 51.172 (48.517)	lr 0.02498
Train [2][2080/2134]	Time 0.603 (1.334)	Data Time 0.000 (0.042)	Loss 4.2189 (4.2015)	Entropy 1.89750 (1.90031)	Top-1 acc 24.609 (25.073)	Top-5 acc 50.391 (48.524)	lr 0.02498
Train [2][2090/2134]	Time 0.490 (1.332)	Data Time 0.000 (0.042)	Loss 4.4232 (4.2016)	Entropy 1.89742 (1.90030)	Top-1 acc 21.484 (25.068)	Top-5 acc 39.844 (48.519)	lr 0.02498
Train [2][2100/2134]	Time 0.579 (1.330)	Data Time 0.000 (0.042)	Loss 4.2899 (4.2015)	Entropy 1.89739 (1.90029)	Top-1 acc 25.000 (25.069)	Top-5 acc 42.969 (48.517)	lr 0.02498
Train [2][2110/2134]	Time 0.542 (1.328)	Data Time 0.000 (0.042)	Loss 4.0238 (4.2011)	Entropy 1.89732 (1.90027)	Top-1 acc 30.859 (25.079)	Top-5 acc 54.297 (48.526)	lr 0.02498
Train [2][2120/2134]	Time 0.625 (1.326)	Data Time 0.000 (0.041)	Loss 4.2082 (4.2013)	Entropy 1.89727 (1.90026)	Top-1 acc 26.172 (25.073)	Top-5 acc 49.219 (48.521)	lr 0.02498
Train [2][2130/2134]	Time 0.639 (1.324)	Data Time 0.000 (0.041)	Loss 4.1291 (4.2011)	Entropy 1.89724 (1.90024)	Top-1 acc 26.562 (25.075)	Top-5 acc 49.609 (48.525)	lr 0.02498
Train [2][2134/2134]	Time 1.982 (1.324)	Data Time 0.000 (0.041)	Loss 4.3028 (4.2011)	Entropy 1.89724 (1.90024)	Top-1 acc 18.182 (25.076)	Top-5 acc 43.850 (48.522)	lr 0.02498
==========Valid [2/120]	loss 3.138	top-1 acc 33.351 (33.351)	top-5 acc 59.176	Train top-1 25.076	top-5 48.522	Entropy 1.89724	Latency-None: 0.000ms	Flops: 498.20M
Train [3][0/2134]	Time 215.138 (215.138)	Data Time 212.738 (212.738)	Loss 4.1170 (4.1170)	Entropy 1.89720 (1.89720)	Top-1 acc 22.656 (22.656)	Top-5 acc 50.781 (50.781)	lr 0.02498
Train [3][10/2134]	Time 0.617 (20.501)	Data Time 0.003 (19.344)	Loss 4.0443 (4.1384)	Entropy 1.89712 (1.89718)	Top-1 acc 26.562 (25.994)	Top-5 acc 53.906 (50.284)	lr 0.02498
Train [3][20/2134]	Time 0.758 (24.357)	Data Time 0.007 (10.134)	Loss 4.2277 (4.1367)	Entropy 1.89708 (1.89714)	Top-1 acc 25.000 (26.023)	Top-5 acc 48.438 (50.260)	lr 0.02498
Train [3][30/2134]	Time 0.825 (17.068)	Data Time 0.012 (6.867)	Loss 4.0064 (4.1385)	Entropy 1.89706 (1.89712)	Top-1 acc 28.516 (26.210)	Top-5 acc 53.125 (50.680)	lr 0.02498
Train [3][40/2134]	Time 0.610 (13.146)	Data Time 0.006 (5.194)	Loss 4.1987 (4.1319)	Entropy 1.89701 (1.89710)	Top-1 acc 25.000 (26.362)	Top-5 acc 46.484 (50.829)	lr 0.02498
Train [3][50/2134]	Time 0.658 (10.754)	Data Time 0.005 (4.176)	Loss 4.1763 (4.1359)	Entropy 1.89700 (1.89708)	Top-1 acc 26.953 (26.333)	Top-5 acc 47.266 (50.528)	lr 0.02498
Train [3][60/2134]	Time 0.653 (9.253)	Data Time 0.005 (3.492)	Loss 4.0181 (4.1385)	Entropy 1.89698 (1.89707)	Top-1 acc 28.516 (26.223)	Top-5 acc 56.250 (50.378)	lr 0.02498
Train [3][70/2134]	Time 0.763 (8.090)	Data Time 0.009 (3.001)	Loss 4.1952 (4.1485)	Entropy 1.89696 (1.89706)	Top-1 acc 25.781 (26.095)	Top-5 acc 51.172 (50.160)	lr 0.02498
Train [3][80/2134]	Time 0.661 (7.218)	Data Time 0.008 (2.631)	Loss 4.1047 (4.1503)	Entropy 1.89694 (1.89704)	Top-1 acc 24.609 (25.974)	Top-5 acc 50.781 (50.005)	lr 0.02498
Train [3][90/2134]	Time 0.655 (6.530)	Data Time 0.006 (2.343)	Loss 4.1436 (4.1547)	Entropy 1.89691 (1.89703)	Top-1 acc 26.172 (25.837)	Top-5 acc 49.609 (49.850)	lr 0.02498
Train [3][100/2134]	Time 0.412 (5.980)	Data Time 0.006 (2.111)	Loss 3.9657 (4.1486)	Entropy 1.89686 (1.89702)	Top-1 acc 26.562 (26.075)	Top-5 acc 55.078 (50.046)	lr 0.02498
Train [3][110/2134]	Time 0.532 (5.528)	Data Time 0.008 (1.923)	Loss 4.0915 (4.1515)	Entropy 1.89680 (1.89700)	Top-1 acc 25.781 (25.926)	Top-5 acc 46.875 (49.916)	lr 0.02498
Train [3][120/2134]	Time 0.517 (5.150)	Data Time 0.006 (1.764)	Loss 4.1442 (4.1518)	Entropy 1.89677 (1.89698)	Top-1 acc 26.562 (25.804)	Top-5 acc 52.344 (49.861)	lr 0.02498
Train [3][130/2134]	Time 0.647 (4.833)	Data Time 0.006 (1.630)	Loss 4.1531 (4.1506)	Entropy 1.89671 (1.89696)	Top-1 acc 26.172 (25.898)	Top-5 acc 48.438 (49.884)	lr 0.02498
Train [3][140/2134]	Time 0.598 (4.559)	Data Time 0.006 (1.515)	Loss 4.1904 (4.1489)	Entropy 1.89666 (1.89694)	Top-1 acc 18.359 (25.923)	Top-5 acc 44.922 (49.867)	lr 0.02498
Train [3][150/2134]	Time 0.441 (4.320)	Data Time 0.005 (1.415)	Loss 4.1997 (4.1517)	Entropy 1.89660 (1.89692)	Top-1 acc 21.875 (25.898)	Top-5 acc 47.656 (49.762)	lr 0.02498
Train [3][160/2134]	Time 0.721 (4.113)	Data Time 0.005 (1.328)	Loss 4.1729 (4.1512)	Entropy 1.89655 (1.89690)	Top-1 acc 26.953 (25.912)	Top-5 acc 48.047 (49.803)	lr 0.02498
Train [3][170/2134]	Time 0.476 (3.929)	Data Time 0.010 (1.251)	Loss 4.1414 (4.1488)	Entropy 1.89652 (1.89688)	Top-1 acc 28.125 (25.982)	Top-5 acc 50.781 (49.881)	lr 0.02498
Train [3][180/2134]	Time 0.523 (3.765)	Data Time 0.006 (1.183)	Loss 4.0769 (4.1490)	Entropy 1.89647 (1.89686)	Top-1 acc 28.125 (26.025)	Top-5 acc 51.562 (49.907)	lr 0.02498
Train [3][190/2134]	Time 0.652 (3.618)	Data Time 0.005 (1.121)	Loss 4.2877 (4.1474)	Entropy 1.89641 (1.89684)	Top-1 acc 24.609 (26.070)	Top-5 acc 49.219 (49.951)	lr 0.02498
Train [3][200/2134]	Time 0.696 (3.517)	Data Time 0.005 (1.066)	Loss 4.1859 (4.1475)	Entropy 1.89637 (1.89682)	Top-1 acc 24.219 (26.057)	Top-5 acc 46.484 (49.938)	lr 0.02498
Train [3][210/2134]	Time 0.731 (3.395)	Data Time 0.004 (1.015)	Loss 4.3749 (4.1459)	Entropy 1.89631 (1.89679)	Top-1 acc 16.797 (26.096)	Top-5 acc 44.141 (49.943)	lr 0.02498
Train [3][220/2134]	Time 0.699 (3.285)	Data Time 0.004 (0.970)	Loss 4.0679 (4.1456)	Entropy 1.89624 (1.89677)	Top-1 acc 24.219 (26.133)	Top-5 acc 51.172 (49.959)	lr 0.02498
Train [3][230/2134]	Time 0.600 (3.184)	Data Time 0.006 (0.928)	Loss 3.9997 (4.1465)	Entropy 1.89618 (1.89675)	Top-1 acc 31.641 (26.104)	Top-5 acc 52.734 (49.931)	lr 0.02498
Train [3][240/2134]	Time 0.633 (3.092)	Data Time 0.004 (0.890)	Loss 4.1826 (4.1447)	Entropy 1.89616 (1.89672)	Top-1 acc 26.172 (26.120)	Top-5 acc 50.000 (49.985)	lr 0.02498
Train [3][250/2134]	Time 0.489 (3.007)	Data Time 0.004 (0.854)	Loss 4.2469 (4.1488)	Entropy 1.89613 (1.89670)	Top-1 acc 23.438 (26.111)	Top-5 acc 45.312 (49.883)	lr 0.02498
Train [3][260/2134]	Time 0.642 (2.929)	Data Time 0.004 (0.822)	Loss 4.0594 (4.1509)	Entropy 1.89608 (1.89668)	Top-1 acc 21.484 (26.069)	Top-5 acc 55.859 (49.853)	lr 0.02498
Train [3][270/2134]	Time 0.666 (2.857)	Data Time 0.004 (0.792)	Loss 4.2159 (4.1530)	Entropy 1.89603 (1.89666)	Top-1 acc 27.734 (26.057)	Top-5 acc 51.562 (49.792)	lr 0.02498
Train [3][280/2134]	Time 0.568 (2.789)	Data Time 0.004 (0.764)	Loss 4.1906 (4.1534)	Entropy 1.89602 (1.89663)	Top-1 acc 23.438 (26.086)	Top-5 acc 49.609 (49.805)	lr 0.02498
Train [3][290/2134]	Time 0.664 (2.727)	Data Time 0.003 (0.738)	Loss 4.3277 (4.1535)	Entropy 1.89594 (1.89661)	Top-1 acc 21.094 (26.087)	Top-5 acc 46.094 (49.819)	lr 0.02498
Train [3][300/2134]	Time 0.493 (2.668)	Data Time 0.006 (0.714)	Loss 4.2233 (4.1549)	Entropy 1.89591 (1.89659)	Top-1 acc 26.953 (26.047)	Top-5 acc 48.047 (49.813)	lr 0.02498
Train [3][310/2134]	Time 0.679 (2.613)	Data Time 0.006 (0.691)	Loss 4.1039 (4.1555)	Entropy 1.89588 (1.89657)	Top-1 acc 25.781 (26.041)	Top-5 acc 50.391 (49.815)	lr 0.02498
Train [3][320/2134]	Time 0.659 (2.561)	Data Time 0.004 (0.670)	Loss 4.1407 (4.1569)	Entropy 1.89583 (1.89654)	Top-1 acc 28.516 (26.047)	Top-5 acc 48.438 (49.770)	lr 0.02498
Train [3][330/2134]	Time 0.619 (2.512)	Data Time 0.006 (0.650)	Loss 4.1168 (4.1571)	Entropy 1.89578 (1.89652)	Top-1 acc 28.516 (26.063)	Top-5 acc 49.219 (49.763)	lr 0.02498
Train [3][340/2134]	Time 0.559 (2.480)	Data Time 0.003 (0.631)	Loss 4.0688 (4.1575)	Entropy 1.89573 (1.89650)	Top-1 acc 32.031 (26.088)	Top-5 acc 55.078 (49.778)	lr 0.02498
Train [3][350/2134]	Time 0.434 (2.436)	Data Time 0.004 (0.613)	Loss 4.2106 (4.1576)	Entropy 1.89567 (1.89648)	Top-1 acc 23.828 (26.077)	Top-5 acc 49.219 (49.790)	lr 0.02498
Train [3][360/2134]	Time 0.551 (2.394)	Data Time 0.004 (0.596)	Loss 4.2887 (4.1579)	Entropy 1.89562 (1.89645)	Top-1 acc 26.562 (26.085)	Top-5 acc 49.219 (49.783)	lr 0.02498
Train [3][370/2134]	Time 0.613 (2.356)	Data Time 0.004 (0.581)	Loss 4.1515 (4.1582)	Entropy 1.89556 (1.89643)	Top-1 acc 24.609 (26.071)	Top-5 acc 50.781 (49.765)	lr 0.02498
Train [3][380/2134]	Time 0.700 (2.320)	Data Time 0.004 (0.566)	Loss 4.1147 (4.1573)	Entropy 1.89553 (1.89641)	Top-1 acc 27.734 (26.079)	Top-5 acc 53.125 (49.783)	lr 0.02498
Train [3][390/2134]	Time 0.723 (2.285)	Data Time 0.004 (0.551)	Loss 4.2104 (4.1576)	Entropy 1.89550 (1.89638)	Top-1 acc 28.906 (26.063)	Top-5 acc 49.609 (49.757)	lr 0.02498
Train [3][400/2134]	Time 0.425 (2.252)	Data Time 0.004 (0.538)	Loss 4.2192 (4.1561)	Entropy 1.89548 (1.89636)	Top-1 acc 21.875 (26.073)	Top-5 acc 47.656 (49.808)	lr 0.02498
Train [3][410/2134]	Time 0.550 (2.220)	Data Time 0.004 (0.525)	Loss 4.3294 (4.1569)	Entropy 1.89546 (1.89634)	Top-1 acc 22.266 (26.060)	Top-5 acc 43.750 (49.775)	lr 0.02498
Train [3][420/2134]	Time 0.646 (2.190)	Data Time 0.004 (0.513)	Loss 3.9191 (4.1562)	Entropy 1.89540 (1.89632)	Top-1 acc 30.078 (26.074)	Top-5 acc 57.031 (49.783)	lr 0.02498
Train [3][430/2134]	Time 0.674 (2.162)	Data Time 0.004 (0.501)	Loss 4.2527 (4.1559)	Entropy 1.89535 (1.89630)	Top-1 acc 23.828 (26.064)	Top-5 acc 47.266 (49.766)	lr 0.02498
Train [3][440/2134]	Time 0.610 (2.135)	Data Time 0.004 (0.490)	Loss 4.3771 (4.1567)	Entropy 1.89533 (1.89628)	Top-1 acc 23.438 (26.067)	Top-5 acc 41.797 (49.740)	lr 0.02498
Train [3][450/2134]	Time 0.814 (2.837)	Data Time 0.011 (0.479)	Loss 4.2440 (4.1572)	Entropy 1.89528 (1.89625)	Top-1 acc 26.172 (26.036)	Top-5 acc 49.609 (49.718)	lr 0.02498
Train [3][460/2134]	Time 0.533 (2.797)	Data Time 0.006 (0.469)	Loss 4.1082 (4.1573)	Entropy 1.89522 (1.89623)	Top-1 acc 27.734 (26.022)	Top-5 acc 48.828 (49.721)	lr 0.02498
Train [3][470/2134]	Time 0.800 (2.760)	Data Time 0.004 (0.459)	Loss 4.3836 (4.1585)	Entropy 1.89519 (1.89621)	Top-1 acc 25.000 (26.036)	Top-5 acc 44.922 (49.711)	lr 0.02498
Train [3][480/2134]	Time 0.643 (2.734)	Data Time 0.004 (0.450)	Loss 4.2021 (4.1589)	Entropy 1.89510 (1.89619)	Top-1 acc 28.125 (26.035)	Top-5 acc 46.875 (49.666)	lr 0.02498
Train [3][490/2134]	Time 0.434 (2.697)	Data Time 0.005 (0.441)	Loss 4.1774 (4.1596)	Entropy 1.89506 (1.89617)	Top-1 acc 25.781 (26.023)	Top-5 acc 49.219 (49.656)	lr 0.02498
Train [3][500/2134]	Time 0.675 (2.663)	Data Time 0.004 (0.432)	Loss 4.3448 (4.1605)	Entropy 1.89501 (1.89614)	Top-1 acc 20.312 (26.003)	Top-5 acc 48.828 (49.633)	lr 0.02498
Train [3][510/2134]	Time 0.683 (2.629)	Data Time 0.005 (0.424)	Loss 4.1643 (4.1602)	Entropy 1.89496 (1.89612)	Top-1 acc 25.391 (26.032)	Top-5 acc 47.266 (49.631)	lr 0.02498
Train [3][520/2134]	Time 0.589 (2.597)	Data Time 0.005 (0.416)	Loss 4.2707 (4.1616)	Entropy 1.89486 (1.89610)	Top-1 acc 27.344 (25.993)	Top-5 acc 45.312 (49.600)	lr 0.02498
Train [3][530/2134]	Time 0.714 (2.566)	Data Time 0.003 (0.408)	Loss 4.0773 (4.1617)	Entropy 1.89481 (1.89608)	Top-1 acc 28.125 (25.966)	Top-5 acc 53.516 (49.582)	lr 0.02498
Train [3][540/2134]	Time 0.460 (2.537)	Data Time 0.003 (0.401)	Loss 4.1607 (4.1618)	Entropy 1.89476 (1.89605)	Top-1 acc 28.125 (25.957)	Top-5 acc 46.875 (49.579)	lr 0.02498
Train [3][550/2134]	Time 0.511 (2.508)	Data Time 0.003 (0.394)	Loss 4.1291 (4.1623)	Entropy 1.89470 (1.89603)	Top-1 acc 27.734 (25.928)	Top-5 acc 51.562 (49.551)	lr 0.02498
Train [3][560/2134]	Time 0.740 (2.480)	Data Time 0.003 (0.387)	Loss 4.2047 (4.1624)	Entropy 1.89463 (1.89600)	Top-1 acc 26.562 (25.932)	Top-5 acc 49.219 (49.534)	lr 0.02498
Train [3][570/2134]	Time 0.667 (2.454)	Data Time 0.003 (0.380)	Loss 4.0728 (4.1622)	Entropy 1.89462 (1.89598)	Top-1 acc 28.516 (25.960)	Top-5 acc 50.781 (49.535)	lr 0.02498
Train [3][580/2134]	Time 0.649 (2.427)	Data Time 0.003 (0.374)	Loss 4.2424 (4.1616)	Entropy 1.89456 (1.89596)	Top-1 acc 29.688 (25.967)	Top-5 acc 48.047 (49.538)	lr 0.02498
Train [3][590/2134]	Time 0.714 (2.402)	Data Time 0.003 (0.367)	Loss 4.1697 (4.1612)	Entropy 1.89450 (1.89593)	Top-1 acc 22.656 (25.976)	Top-5 acc 48.047 (49.550)	lr 0.02498
Train [3][600/2134]	Time 0.673 (2.378)	Data Time 0.004 (0.361)	Loss 4.1366 (4.1613)	Entropy 1.89444 (1.89591)	Top-1 acc 28.125 (25.971)	Top-5 acc 50.391 (49.563)	lr 0.02498
Train [3][610/2134]	Time 0.585 (2.354)	Data Time 0.003 (0.355)	Loss 4.2589 (4.1615)	Entropy 1.89438 (1.89588)	Top-1 acc 23.438 (25.959)	Top-5 acc 48.047 (49.558)	lr 0.02498
Train [3][620/2134]	Time 0.616 (2.340)	Data Time 0.004 (0.350)	Loss 4.5002 (4.1613)	Entropy 1.89432 (1.89586)	Top-1 acc 21.094 (25.962)	Top-5 acc 42.578 (49.562)	lr 0.02498
Train [3][630/2134]	Time 0.683 (2.318)	Data Time 0.003 (0.344)	Loss 4.1901 (4.1619)	Entropy 1.89426 (1.89583)	Top-1 acc 24.219 (25.948)	Top-5 acc 48.438 (49.567)	lr 0.02498
Train [3][640/2134]	Time 0.452 (2.297)	Data Time 0.003 (0.339)	Loss 4.1957 (4.1602)	Entropy 1.89420 (1.89581)	Top-1 acc 27.344 (25.989)	Top-5 acc 49.609 (49.612)	lr 0.02498
Train [3][650/2134]	Time 0.745 (2.276)	Data Time 0.003 (0.334)	Loss 4.1081 (4.1600)	Entropy 1.89420 (1.89578)	Top-1 acc 26.562 (25.995)	Top-5 acc 50.781 (49.627)	lr 0.02498
Train [3][660/2134]	Time 0.527 (2.256)	Data Time 0.003 (0.329)	Loss 4.1475 (4.1602)	Entropy 1.89415 (1.89576)	Top-1 acc 27.344 (25.993)	Top-5 acc 48.828 (49.631)	lr 0.02498
Train [3][670/2134]	Time 0.655 (2.236)	Data Time 0.003 (0.324)	Loss 4.1673 (4.1608)	Entropy 1.89410 (1.89574)	Top-1 acc 29.688 (25.984)	Top-5 acc 50.000 (49.613)	lr 0.02498
Train [3][680/2134]	Time 0.528 (2.218)	Data Time 0.003 (0.320)	Loss 4.2322 (4.1612)	Entropy 1.89407 (1.89571)	Top-1 acc 21.484 (25.973)	Top-5 acc 47.266 (49.599)	lr 0.02498
Train [3][690/2134]	Time 0.600 (2.199)	Data Time 0.003 (0.315)	Loss 4.1933 (4.1615)	Entropy 1.89402 (1.89569)	Top-1 acc 29.297 (25.959)	Top-5 acc 48.047 (49.579)	lr 0.02498
Train [3][700/2134]	Time 0.686 (2.182)	Data Time 0.004 (0.311)	Loss 4.0733 (4.1613)	Entropy 1.89396 (1.89566)	Top-1 acc 27.344 (25.952)	Top-5 acc 52.734 (49.587)	lr 0.02498
Train [3][710/2134]	Time 0.645 (2.164)	Data Time 0.005 (0.306)	Loss 4.0288 (4.1610)	Entropy 1.89387 (1.89564)	Top-1 acc 28.906 (25.958)	Top-5 acc 50.000 (49.592)	lr 0.02498
Train [3][720/2134]	Time 0.698 (2.148)	Data Time 0.003 (0.302)	Loss 4.1142 (4.1614)	Entropy 1.89381 (1.89561)	Top-1 acc 29.688 (25.958)	Top-5 acc 51.562 (49.580)	lr 0.02498
Train [3][730/2134]	Time 0.519 (2.131)	Data Time 0.003 (0.298)	Loss 4.0903 (4.1609)	Entropy 1.89375 (1.89559)	Top-1 acc 29.688 (25.961)	Top-5 acc 51.172 (49.596)	lr 0.02498
Train [3][740/2134]	Time 0.694 (2.115)	Data Time 0.003 (0.294)	Loss 4.2702 (4.1615)	Entropy 1.89368 (1.89556)	Top-1 acc 25.391 (25.933)	Top-5 acc 47.266 (49.581)	lr 0.02498
Train [3][750/2134]	Time 0.483 (2.099)	Data Time 0.003 (0.290)	Loss 4.3111 (4.1612)	Entropy 1.89361 (1.89554)	Top-1 acc 20.703 (25.935)	Top-5 acc 42.969 (49.585)	lr 0.02498
Train [3][760/2134]	Time 0.500 (2.084)	Data Time 0.004 (0.287)	Loss 4.3326 (4.1612)	Entropy 1.89357 (1.89551)	Top-1 acc 22.656 (25.933)	Top-5 acc 42.969 (49.576)	lr 0.02498
Train [3][770/2134]	Time 0.638 (2.076)	Data Time 0.003 (0.283)	Loss 4.3891 (4.1619)	Entropy 1.89352 (1.89549)	Top-1 acc 25.391 (25.917)	Top-5 acc 41.797 (49.560)	lr 0.02498
Train [3][780/2134]	Time 0.409 (2.062)	Data Time 0.003 (0.280)	Loss 4.1103 (4.1625)	Entropy 1.89349 (1.89546)	Top-1 acc 28.906 (25.912)	Top-5 acc 52.734 (49.550)	lr 0.02498
Train [3][790/2134]	Time 0.621 (2.048)	Data Time 0.003 (0.276)	Loss 4.2871 (4.1627)	Entropy 1.89344 (1.89544)	Top-1 acc 23.438 (25.906)	Top-5 acc 43.750 (49.536)	lr 0.02498
Train [3][800/2134]	Time 0.667 (2.034)	Data Time 0.003 (0.273)	Loss 4.3126 (4.1624)	Entropy 1.89340 (1.89541)	Top-1 acc 22.266 (25.916)	Top-5 acc 45.312 (49.540)	lr 0.02498
Train [3][810/2134]	Time 0.682 (2.021)	Data Time 0.003 (0.270)	Loss 4.0895 (4.1624)	Entropy 1.89335 (1.89539)	Top-1 acc 30.859 (25.931)	Top-5 acc 51.562 (49.545)	lr 0.02498
Train [3][820/2134]	Time 0.605 (2.008)	Data Time 0.003 (0.266)	Loss 4.3702 (4.1628)	Entropy 1.89330 (1.89536)	Top-1 acc 25.000 (25.928)	Top-5 acc 44.531 (49.537)	lr 0.02498
Train [3][830/2134]	Time 0.646 (1.994)	Data Time 0.003 (0.263)	Loss 4.1389 (4.1628)	Entropy 1.89322 (1.89534)	Top-1 acc 23.438 (25.932)	Top-5 acc 50.781 (49.545)	lr 0.02498
Train [3][840/2134]	Time 0.686 (1.982)	Data Time 0.004 (0.260)	Loss 4.0182 (4.1630)	Entropy 1.89318 (1.89531)	Top-1 acc 26.953 (25.933)	Top-5 acc 51.562 (49.536)	lr 0.02498
Train [3][850/2134]	Time 0.674 (1.970)	Data Time 0.004 (0.257)	Loss 4.0265 (4.1626)	Entropy 1.89317 (1.89529)	Top-1 acc 23.828 (25.936)	Top-5 acc 49.219 (49.528)	lr 0.02498
Train [3][860/2134]	Time 0.660 (1.958)	Data Time 0.003 (0.254)	Loss 4.2503 (4.1633)	Entropy 1.89312 (1.89526)	Top-1 acc 22.656 (25.929)	Top-5 acc 44.531 (49.506)	lr 0.02498
Train [3][870/2134]	Time 0.640 (1.946)	Data Time 0.003 (0.251)	Loss 4.2582 (4.1636)	Entropy 1.89309 (1.89524)	Top-1 acc 21.875 (25.930)	Top-5 acc 46.875 (49.496)	lr 0.02498
Warmup Train [1][2100/2134]	Time 65.933 (65.933)	Data 34.325 (34.325)	Loss 6.9529 (6.9529)	Top-1 acc 0.000 (0.000)	Top-5 acc 0.391 (0.391)	lr 0.04993
