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Coderx7/pytorch_simplenetv1_imagenet_224_3p_log.txt

Created July 2, 2018 20:13
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SimpleNetV1_3p_ImageNet_224_training log (100 epochs, simple SGD) : (67.17 / 87.44)
Raw
pytorch_simplenetv1_imagenet_224_3p_log.txt
=> creating model 'simplenetv1_imagenet_3p'
=> Model : simplenetv1_imagenet_3p(
(features): Sequential(
(0): Conv2d(3, 64, kernel_size=[3, 3], stride=(2, 2), padding=(1, 1))
(1): BatchNorm2d(64, eps=1e-05, momentum=0.05, affine=True)
(2): ReLU(inplace)
(3): Conv2d(64, 128, kernel_size=[3, 3], stride=(2, 2), padding=(1, 1))
(4): BatchNorm2d(128, eps=1e-05, momentum=0.05, affine=True)
(5): ReLU(inplace)
(6): Conv2d(128, 128, kernel_size=[3, 3], stride=(1, 1), padding=(1, 1))
(7): BatchNorm2d(128, eps=1e-05, momentum=0.05, affine=True)
(8): ReLU(inplace)
(9): Conv2d(128, 128, kernel_size=[3, 3], stride=(1, 1), padding=(1, 1))
(10): BatchNorm2d(128, eps=1e-05, momentum=0.05, affine=True)
(11): ReLU(inplace)
(12): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1), ceil_mode=False)
(13): Conv2d(128, 128, kernel_size=[3, 3], stride=(1, 1), padding=(1, 1))
(14): BatchNorm2d(128, eps=1e-05, momentum=0.05, affine=True)
(15): ReLU(inplace)
(16): Conv2d(128, 128, kernel_size=[3, 3], stride=(1, 1), padding=(1, 1))
(17): BatchNorm2d(128, eps=1e-05, momentum=0.05, affine=True)
(18): ReLU(inplace)
(19): Conv2d(128, 256, kernel_size=[3, 3], stride=(1, 1), padding=(1, 1))
(20): BatchNorm2d(256, eps=1e-05, momentum=0.05, affine=True)
(21): ReLU(inplace)
(22): Conv2d(256, 256, kernel_size=[3, 3], stride=(1, 1), padding=(1, 1))
(23): BatchNorm2d(256, eps=1e-05, momentum=0.05, affine=True)
(24): ReLU(inplace)
(25): Conv2d(256, 256, kernel_size=[3, 3], stride=(1, 1), padding=(1, 1))
(26): BatchNorm2d(256, eps=1e-05, momentum=0.05, affine=True)
(27): ReLU(inplace)
(28): Conv2d(256, 512, kernel_size=[3, 3], stride=(1, 1), padding=(1, 1))
(29): BatchNorm2d(512, eps=1e-05, momentum=0.05, affine=True)
(30): ReLU(inplace)
(31): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1), ceil_mode=False)
(32): Conv2d(512, 2048, kernel_size=[1, 1], stride=(1, 1))
(33): BatchNorm2d(2048, eps=1e-05, momentum=0.05, affine=True)
(34): ReLU(inplace)
(35): Conv2d(2048, 256, kernel_size=[1, 1], stride=(1, 1))
(36): BatchNorm2d(256, eps=1e-05, momentum=0.05, affine=True)
(37): ReLU(inplace)
(38): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1), ceil_mode=False)
(39): Conv2d(256, 256, kernel_size=[3, 3], stride=(1, 1), padding=(1, 1))
(40): BatchNorm2d(256, eps=1e-05, momentum=0.05, affine=True)
(41): ReLU(inplace)
)
(classifier): Linear(in_features=256, out_features=1000, bias=True)
)
==>>[2018-06-20 12:02:32] [Epoch=000/150] [Need: 00:00:00] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=0.00/0.00, Error=100.00/100.00]
Epoch: [0][0/10010] Time 8.444 (8.444) Data 4.864 (4.864) Loss 7.2579 (7.2579) Prec@1 0.781 (0.781) Prec@5 1.562 (1.562)
Epoch: [0][200/10010] Time 0.401 (0.441) Data 0.000 (0.025) Loss 6.8608 (6.9139) Prec@1 0.000 (0.148) Prec@5 0.781 (0.770)
Epoch: [0][400/10010] Time 0.397 (0.419) Data 0.000 (0.013) Loss 6.8795 (6.8726) Prec@1 0.000 (0.226) Prec@5 1.562 (0.904)
Epoch: [0][600/10010] Time 0.392 (0.412) Data 0.000 (0.009) Loss 6.7684 (6.8465) Prec@1 0.000 (0.233) Prec@5 3.125 (1.009)
Epoch: [0][800/10010] Time 0.398 (0.408) Data 0.000 (0.007) Loss 6.6993 (6.8230) Prec@1 0.000 (0.246) Prec@5 0.781 (1.127)
Epoch: [0][1000/10010] Time 0.396 (0.407) Data 0.001 (0.005) Loss 6.6575 (6.7979) Prec@1 0.000 (0.290) Prec@5 0.000 (1.286)
Epoch: [0][1200/10010] Time 0.400 (0.405) Data 0.000 (0.004) Loss 6.5668 (6.7657) Prec@1 0.000 (0.347) Prec@5 3.906 (1.522)
Epoch: [0][1400/10010] Time 0.393 (0.404) Data 0.000 (0.004) Loss 6.4327 (6.7307) Prec@1 2.344 (0.419) Prec@5 5.469 (1.758)
Epoch: [0][1600/10010] Time 0.403 (0.404) Data 0.000 (0.003) Loss 6.4312 (6.6920) Prec@1 0.000 (0.494) Prec@5 1.562 (2.057)
Epoch: [0][1800/10010] Time 0.396 (0.403) Data 0.000 (0.003) Loss 6.2906 (6.6525) Prec@1 3.906 (0.580) Prec@5 5.469 (2.371)
Epoch: [0][2000/10010] Time 0.396 (0.403) Data 0.000 (0.003) Loss 6.1728 (6.6099) Prec@1 1.562 (0.693) Prec@5 6.250 (2.719)
Epoch: [0][2200/10010] Time 0.398 (0.402) Data 0.000 (0.003) Loss 5.9920 (6.5649) Prec@1 2.344 (0.816) Prec@5 9.375 (3.118)
Epoch: [0][2400/10010] Time 0.402 (0.402) Data 0.000 (0.003) Loss 6.1429 (6.5195) Prec@1 0.000 (0.943) Prec@5 7.812 (3.527)
Epoch: [0][2600/10010] Time 0.397 (0.402) Data 0.001 (0.002) Loss 5.9184 (6.4737) Prec@1 3.906 (1.092) Prec@5 7.812 (3.995)
Epoch: [0][2800/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 5.8916 (6.4269) Prec@1 2.344 (1.245) Prec@5 10.156 (4.477)
Epoch: [0][3000/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 5.7151 (6.3796) Prec@1 1.562 (1.423) Prec@5 7.812 (4.996)
Epoch: [0][3200/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 5.3781 (6.3327) Prec@1 7.812 (1.601) Prec@5 17.969 (5.515)
Epoch: [0][3400/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 5.4147 (6.2859) Prec@1 3.906 (1.781) Prec@5 15.625 (6.049)
Epoch: [0][3600/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 5.4798 (6.2423) Prec@1 3.906 (1.979) Prec@5 10.156 (6.571)
Epoch: [0][3800/10010] Time 0.397 (0.401) Data 0.000 (0.002) Loss 5.4250 (6.1993) Prec@1 5.469 (2.200) Prec@5 17.188 (7.111)
Epoch: [0][4000/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 5.2695 (6.1578) Prec@1 6.250 (2.399) Prec@5 17.969 (7.648)
Epoch: [0][4200/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 5.1176 (6.1168) Prec@1 7.031 (2.611) Prec@5 18.750 (8.165)
Epoch: [0][4400/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 5.2106 (6.0782) Prec@1 7.031 (2.814) Prec@5 20.312 (8.662)
Epoch: [0][4600/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 5.2732 (6.0403) Prec@1 8.594 (3.023) Prec@5 22.656 (9.190)
Epoch: [0][4800/10010] Time 0.397 (0.400) Data 0.001 (0.002) Loss 5.2366 (6.0033) Prec@1 8.594 (3.225) Prec@5 21.875 (9.701)
Epoch: [0][5000/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 4.9360 (5.9680) Prec@1 8.594 (3.438) Prec@5 27.344 (10.192)
Epoch: [0][5200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 4.7654 (5.9334) Prec@1 14.844 (3.648) Prec@5 25.781 (10.674)
Epoch: [0][5400/10010] Time 0.395 (0.400) Data 0.001 (0.001) Loss 5.0276 (5.8986) Prec@1 11.719 (3.871) Prec@5 22.656 (11.172)
Epoch: [0][5600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 4.9914 (5.8668) Prec@1 9.375 (4.065) Prec@5 22.656 (11.631)
Epoch: [0][5800/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 4.5803 (5.8347) Prec@1 12.500 (4.278) Prec@5 28.906 (12.104)
Epoch: [0][6000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 4.8993 (5.8041) Prec@1 8.594 (4.476) Prec@5 26.562 (12.557)
Epoch: [0][6200/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 4.6436 (5.7742) Prec@1 9.375 (4.689) Prec@5 31.250 (13.017)
Epoch: [0][6400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 4.5690 (5.7453) Prec@1 14.062 (4.899) Prec@5 34.375 (13.457)
Epoch: [0][6600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 4.8474 (5.7165) Prec@1 10.938 (5.117) Prec@5 25.000 (13.905)
Epoch: [0][6800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 4.9940 (5.6884) Prec@1 8.594 (5.329) Prec@5 21.875 (14.339)
Epoch: [0][7000/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 4.8556 (5.6614) Prec@1 10.156 (5.526) Prec@5 30.469 (14.758)
Epoch: [0][7200/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 4.6749 (5.6356) Prec@1 15.625 (5.727) Prec@5 31.250 (15.165)
Epoch: [0][7400/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 4.7278 (5.6097) Prec@1 10.938 (5.921) Prec@5 26.562 (15.573)
Epoch: [0][7600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 4.6737 (5.5846) Prec@1 11.719 (6.114) Prec@5 31.250 (15.968)
Epoch: [0][7800/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 4.6858 (5.5598) Prec@1 14.062 (6.322) Prec@5 28.906 (16.360)
Epoch: [0][8000/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 4.6925 (5.5361) Prec@1 11.719 (6.511) Prec@5 26.562 (16.738)
Epoch: [0][8200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 4.7950 (5.5128) Prec@1 12.500 (6.705) Prec@5 29.688 (17.117)
Epoch: [0][8400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 4.5081 (5.4901) Prec@1 14.844 (6.893) Prec@5 32.812 (17.482)
Epoch: [0][8600/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 4.5516 (5.4681) Prec@1 10.938 (7.073) Prec@5 32.812 (17.847)
Epoch: [0][8800/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 4.7253 (5.4461) Prec@1 9.375 (7.255) Prec@5 33.594 (18.213)
Epoch: [0][9000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 4.4762 (5.4254) Prec@1 14.844 (7.424) Prec@5 30.469 (18.550)
Epoch: [0][9200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 4.5089 (5.4041) Prec@1 14.844 (7.605) Prec@5 35.156 (18.900)
Epoch: [0][9400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 4.4055 (5.3838) Prec@1 14.062 (7.777) Prec@5 36.719 (19.227)
Epoch: [0][9600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 4.4727 (5.3642) Prec@1 14.844 (7.946) Prec@5 38.281 (19.556)
Epoch: [0][9800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 4.2759 (5.3450) Prec@1 15.625 (8.112) Prec@5 40.625 (19.874)
Epoch: [0][10000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 4.2466 (5.3261) Prec@1 14.844 (8.275) Prec@5 44.531 (20.192)
Test: [0/391] Time 4.798 (4.798) Loss 4.3060 (4.3060) Prec@1 16.406 (16.406) Prec@5 42.969 (42.969)
Test: [200/391] Time 0.163 (0.247) Loss 5.7591 (4.7831) Prec@1 2.344 (12.453) Prec@5 8.594 (29.757)
* Prec@1 12.150 Prec@5 29.108 Loss@ 4.766
==>>[2018-06-20 13:10:45] [Epoch=001/150] [Need: 169:24:20] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=12.15/29.11, Error=87.85/70.89]
Epoch: [1][0/10010] Time 4.438 (4.438) Data 4.247 (4.247) Loss 4.8425 (4.8425) Prec@1 10.938 (10.938) Prec@5 32.812 (32.812)
Epoch: [1][200/10010] Time 0.400 (0.421) Data 0.000 (0.024) Loss 4.4397 (4.3911) Prec@1 18.750 (16.379) Prec@5 35.938 (35.308)
Epoch: [1][400/10010] Time 0.392 (0.410) Data 0.000 (0.012) Loss 4.4764 (4.3769) Prec@1 14.062 (16.767) Prec@5 32.031 (35.667)
Epoch: [1][600/10010] Time 0.394 (0.407) Data 0.001 (0.008) Loss 4.5130 (4.3629) Prec@1 12.500 (16.787) Prec@5 38.281 (36.123)
Epoch: [1][800/10010] Time 0.394 (0.405) Data 0.000 (0.006) Loss 4.2005 (4.3534) Prec@1 18.750 (16.991) Prec@5 37.500 (36.339)
Epoch: [1][1000/10010] Time 0.399 (0.404) Data 0.001 (0.005) Loss 4.3005 (4.3420) Prec@1 19.531 (17.177) Prec@5 37.500 (36.630)
Epoch: [1][1200/10010] Time 0.405 (0.403) Data 0.000 (0.004) Loss 4.3139 (4.3326) Prec@1 12.500 (17.304) Prec@5 35.156 (36.792)
Epoch: [1][1400/10010] Time 0.400 (0.403) Data 0.000 (0.004) Loss 4.4751 (4.3244) Prec@1 21.094 (17.394) Prec@5 32.031 (36.932)
Epoch: [1][1600/10010] Time 0.399 (0.403) Data 0.000 (0.003) Loss 4.3972 (4.3121) Prec@1 18.750 (17.553) Prec@5 37.500 (37.196)
Epoch: [1][1800/10010] Time 0.405 (0.402) Data 0.000 (0.003) Loss 4.3935 (4.3062) Prec@1 17.188 (17.629) Prec@5 28.906 (37.307)
Epoch: [1][2000/10010] Time 0.397 (0.402) Data 0.000 (0.003) Loss 3.8646 (4.3013) Prec@1 22.656 (17.681) Prec@5 47.656 (37.394)
Epoch: [1][2200/10010] Time 0.406 (0.402) Data 0.000 (0.003) Loss 4.0508 (4.2959) Prec@1 21.875 (17.749) Prec@5 42.188 (37.506)
Epoch: [1][2400/10010] Time 0.405 (0.402) Data 0.000 (0.002) Loss 4.3051 (4.2885) Prec@1 12.500 (17.866) Prec@5 32.812 (37.642)
Epoch: [1][2600/10010] Time 0.399 (0.402) Data 0.000 (0.002) Loss 4.2813 (4.2814) Prec@1 14.062 (17.977) Prec@5 38.281 (37.781)
Epoch: [1][2800/10010] Time 0.403 (0.402) Data 0.000 (0.002) Loss 4.3778 (4.2744) Prec@1 17.188 (18.069) Prec@5 38.281 (37.914)
Epoch: [1][3000/10010] Time 0.395 (0.402) Data 0.000 (0.002) Loss 3.8421 (4.2679) Prec@1 21.094 (18.149) Prec@5 46.875 (38.051)
Epoch: [1][3200/10010] Time 0.400 (0.402) Data 0.000 (0.002) Loss 4.0954 (4.2588) Prec@1 25.000 (18.250) Prec@5 42.969 (38.229)
Epoch: [1][3400/10010] Time 0.398 (0.402) Data 0.000 (0.002) Loss 4.0035 (4.2515) Prec@1 21.875 (18.369) Prec@5 35.938 (38.346)
Epoch: [1][3600/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 4.0091 (4.2454) Prec@1 25.000 (18.428) Prec@5 42.188 (38.470)
Epoch: [1][3800/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 4.0123 (4.2391) Prec@1 20.312 (18.507) Prec@5 42.969 (38.608)
Epoch: [1][4000/10010] Time 0.409 (0.401) Data 0.000 (0.002) Loss 4.0819 (4.2345) Prec@1 18.750 (18.561) Prec@5 42.969 (38.706)
Epoch: [1][4200/10010] Time 0.407 (0.401) Data 0.000 (0.002) Loss 3.7419 (4.2301) Prec@1 25.781 (18.619) Prec@5 47.656 (38.795)
Epoch: [1][4400/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 3.8751 (4.2230) Prec@1 27.344 (18.710) Prec@5 43.750 (38.926)
Epoch: [1][4600/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 3.6246 (4.2168) Prec@1 28.125 (18.797) Prec@5 53.906 (39.049)
Epoch: [1][4800/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 4.3451 (4.2127) Prec@1 17.188 (18.853) Prec@5 42.188 (39.144)
Epoch: [1][5000/10010] Time 0.399 (0.401) Data 0.000 (0.001) Loss 4.1893 (4.2075) Prec@1 15.625 (18.912) Prec@5 39.844 (39.242)
Epoch: [1][5200/10010] Time 0.401 (0.401) Data 0.000 (0.001) Loss 4.2183 (4.2026) Prec@1 25.000 (18.976) Prec@5 38.281 (39.331)
Epoch: [1][5400/10010] Time 0.395 (0.401) Data 0.000 (0.001) Loss 4.3638 (4.1971) Prec@1 13.281 (19.036) Prec@5 40.625 (39.431)
Epoch: [1][5600/10010] Time 0.400 (0.401) Data 0.000 (0.001) Loss 3.5666 (4.1913) Prec@1 28.125 (19.107) Prec@5 56.250 (39.539)
Epoch: [1][5800/10010] Time 0.413 (0.401) Data 0.000 (0.001) Loss 3.8555 (4.1856) Prec@1 23.438 (19.179) Prec@5 43.750 (39.638)
Epoch: [1][6000/10010] Time 0.404 (0.401) Data 0.000 (0.001) Loss 4.1409 (4.1812) Prec@1 14.062 (19.239) Prec@5 39.062 (39.729)
Epoch: [1][6200/10010] Time 0.407 (0.401) Data 0.000 (0.001) Loss 4.1269 (4.1760) Prec@1 21.875 (19.304) Prec@5 40.625 (39.835)
Epoch: [1][6400/10010] Time 0.397 (0.401) Data 0.000 (0.001) Loss 3.5727 (4.1710) Prec@1 26.562 (19.361) Prec@5 52.344 (39.939)
Epoch: [1][6600/10010] Time 0.402 (0.401) Data 0.000 (0.001) Loss 3.8671 (4.1665) Prec@1 22.656 (19.419) Prec@5 45.312 (40.026)
Epoch: [1][6800/10010] Time 0.398 (0.401) Data 0.000 (0.001) Loss 4.1517 (4.1622) Prec@1 20.312 (19.482) Prec@5 42.188 (40.115)
Epoch: [1][7000/10010] Time 0.397 (0.401) Data 0.000 (0.001) Loss 3.8294 (4.1564) Prec@1 26.562 (19.564) Prec@5 45.312 (40.220)
Epoch: [1][7200/10010] Time 0.394 (0.401) Data 0.000 (0.001) Loss 4.0172 (4.1520) Prec@1 25.000 (19.624) Prec@5 42.969 (40.298)
Epoch: [1][7400/10010] Time 0.398 (0.401) Data 0.000 (0.001) Loss 3.8839 (4.1482) Prec@1 24.219 (19.682) Prec@5 43.750 (40.368)
Epoch: [1][7600/10010] Time 0.404 (0.401) Data 0.000 (0.001) Loss 4.0451 (4.1437) Prec@1 20.312 (19.737) Prec@5 40.625 (40.445)
Epoch: [1][7800/10010] Time 0.403 (0.401) Data 0.000 (0.001) Loss 3.7254 (4.1390) Prec@1 24.219 (19.796) Prec@5 50.781 (40.534)
Epoch: [1][8000/10010] Time 0.404 (0.401) Data 0.000 (0.001) Loss 3.9041 (4.1341) Prec@1 27.344 (19.861) Prec@5 42.188 (40.625)
Epoch: [1][8200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.8912 (4.1294) Prec@1 19.531 (19.924) Prec@5 48.438 (40.714)
Epoch: [1][8400/10010] Time 0.396 (0.401) Data 0.000 (0.001) Loss 3.8409 (4.1251) Prec@1 25.781 (19.975) Prec@5 46.094 (40.793)
Epoch: [1][8600/10010] Time 0.412 (0.401) Data 0.000 (0.001) Loss 3.7815 (4.1210) Prec@1 25.000 (20.023) Prec@5 48.438 (40.872)
Epoch: [1][8800/10010] Time 0.402 (0.401) Data 0.000 (0.001) Loss 3.9922 (4.1162) Prec@1 19.531 (20.078) Prec@5 42.188 (40.961)
Epoch: [1][9000/10010] Time 0.400 (0.401) Data 0.001 (0.001) Loss 3.8564 (4.1120) Prec@1 25.000 (20.139) Prec@5 45.312 (41.038)
Epoch: [1][9200/10010] Time 0.399 (0.401) Data 0.000 (0.001) Loss 4.1364 (4.1080) Prec@1 16.406 (20.184) Prec@5 40.625 (41.113)
Epoch: [1][9400/10010] Time 0.395 (0.401) Data 0.000 (0.001) Loss 3.8338 (4.1033) Prec@1 21.094 (20.247) Prec@5 50.000 (41.196)
Epoch: [1][9600/10010] Time 0.400 (0.401) Data 0.000 (0.001) Loss 3.7935 (4.0995) Prec@1 22.656 (20.304) Prec@5 42.969 (41.267)
Epoch: [1][9800/10010] Time 0.396 (0.401) Data 0.000 (0.001) Loss 3.9387 (4.0954) Prec@1 23.438 (20.364) Prec@5 46.094 (41.345)
Epoch: [1][10000/10010] Time 0.396 (0.401) Data 0.000 (0.001) Loss 4.2930 (4.0914) Prec@1 21.875 (20.419) Prec@5 39.844 (41.412)
Test: [0/391] Time 4.854 (4.854) Loss 2.8192 (2.8192) Prec@1 27.344 (27.344) Prec@5 70.312 (70.312)
Test: [200/391] Time 0.156 (0.240) Loss 5.3840 (3.6820) Prec@1 3.906 (23.453) Prec@5 17.969 (48.632)
* Prec@1 21.368 Prec@5 44.502 Loss@ 3.937
==>>[2018-06-20 14:19:07] [Epoch=002/150] [Need: 168:39:12] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=21.37/44.50, Error=78.63/55.50]
Epoch: [2][0/10010] Time 4.400 (4.400) Data 4.230 (4.230) Loss 3.9655 (3.9655) Prec@1 24.219 (24.219) Prec@5 44.531 (44.531)
Epoch: [2][200/10010] Time 0.393 (0.419) Data 0.000 (0.024) Loss 3.7963 (3.8777) Prec@1 28.906 (22.917) Prec@5 46.875 (45.180)
Epoch: [2][400/10010] Time 0.399 (0.409) Data 0.000 (0.012) Loss 3.8574 (3.8624) Prec@1 21.094 (23.424) Prec@5 42.969 (45.626)
Epoch: [2][600/10010] Time 0.401 (0.406) Data 0.000 (0.008) Loss 4.1601 (3.8587) Prec@1 19.531 (23.302) Prec@5 39.062 (45.507)
Epoch: [2][800/10010] Time 0.402 (0.405) Data 0.000 (0.006) Loss 4.0215 (3.8529) Prec@1 26.562 (23.491) Prec@5 47.656 (45.637)
Epoch: [2][1000/10010] Time 0.401 (0.404) Data 0.000 (0.005) Loss 3.3026 (3.8546) Prec@1 32.031 (23.516) Prec@5 57.812 (45.677)
Epoch: [2][1200/10010] Time 0.401 (0.403) Data 0.000 (0.004) Loss 3.8563 (3.8540) Prec@1 21.094 (23.556) Prec@5 42.969 (45.684)
Epoch: [2][1400/10010] Time 0.400 (0.403) Data 0.000 (0.004) Loss 3.6461 (3.8501) Prec@1 28.125 (23.551) Prec@5 50.000 (45.759)
Epoch: [2][1600/10010] Time 0.408 (0.402) Data 0.001 (0.003) Loss 3.7840 (3.8500) Prec@1 21.875 (23.594) Prec@5 45.312 (45.803)
Epoch: [2][1800/10010] Time 0.398 (0.402) Data 0.000 (0.003) Loss 3.9160 (3.8473) Prec@1 21.094 (23.636) Prec@5 44.531 (45.864)
Epoch: [2][2000/10010] Time 0.412 (0.402) Data 0.000 (0.003) Loss 3.7292 (3.8451) Prec@1 26.562 (23.649) Prec@5 50.000 (45.899)
Epoch: [2][2200/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 4.2038 (3.8440) Prec@1 17.969 (23.666) Prec@5 32.031 (45.978)
Epoch: [2][2400/10010] Time 0.413 (0.401) Data 0.000 (0.002) Loss 3.8981 (3.8389) Prec@1 21.875 (23.737) Prec@5 43.750 (46.082)
Epoch: [2][2600/10010] Time 0.405 (0.401) Data 0.000 (0.002) Loss 3.7043 (3.8373) Prec@1 28.125 (23.740) Prec@5 44.531 (46.098)
Epoch: [2][2800/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 3.4197 (3.8340) Prec@1 28.125 (23.797) Prec@5 60.156 (46.146)
Epoch: [2][3000/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 3.2787 (3.8322) Prec@1 33.594 (23.824) Prec@5 58.594 (46.202)
Epoch: [2][3200/10010] Time 0.404 (0.401) Data 0.000 (0.002) Loss 3.6130 (3.8304) Prec@1 27.344 (23.843) Prec@5 50.781 (46.238)
Epoch: [2][3400/10010] Time 0.391 (0.401) Data 0.000 (0.002) Loss 3.3342 (3.8280) Prec@1 28.125 (23.886) Prec@5 56.250 (46.292)
Epoch: [2][3600/10010] Time 0.403 (0.401) Data 0.000 (0.002) Loss 3.7678 (3.8265) Prec@1 26.562 (23.952) Prec@5 50.781 (46.318)
Epoch: [2][3800/10010] Time 0.409 (0.401) Data 0.000 (0.002) Loss 3.7796 (3.8251) Prec@1 24.219 (23.980) Prec@5 47.656 (46.348)
Epoch: [2][4000/10010] Time 0.397 (0.401) Data 0.000 (0.002) Loss 3.9597 (3.8228) Prec@1 24.219 (24.008) Prec@5 46.094 (46.411)
Epoch: [2][4200/10010] Time 0.403 (0.401) Data 0.000 (0.002) Loss 3.8500 (3.8209) Prec@1 23.438 (24.033) Prec@5 44.531 (46.459)
Epoch: [2][4400/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 3.2390 (3.8195) Prec@1 29.688 (24.050) Prec@5 53.125 (46.481)
Epoch: [2][4600/10010] Time 0.403 (0.401) Data 0.000 (0.002) Loss 3.4685 (3.8168) Prec@1 29.688 (24.080) Prec@5 55.469 (46.521)
Epoch: [2][4800/10010] Time 0.400 (0.401) Data 0.000 (0.001) Loss 3.4492 (3.8153) Prec@1 30.469 (24.112) Prec@5 52.344 (46.542)
Epoch: [2][5000/10010] Time 0.398 (0.401) Data 0.000 (0.001) Loss 3.8202 (3.8135) Prec@1 26.562 (24.145) Prec@5 51.562 (46.557)
Epoch: [2][5200/10010] Time 0.403 (0.401) Data 0.000 (0.001) Loss 3.9405 (3.8118) Prec@1 22.656 (24.172) Prec@5 42.969 (46.594)
Epoch: [2][5400/10010] Time 0.394 (0.401) Data 0.000 (0.001) Loss 3.9262 (3.8095) Prec@1 25.000 (24.197) Prec@5 44.531 (46.642)
Epoch: [2][5600/10010] Time 0.401 (0.400) Data 0.001 (0.001) Loss 4.0910 (3.8073) Prec@1 21.875 (24.225) Prec@5 41.406 (46.688)
Epoch: [2][5800/10010] Time 0.390 (0.400) Data 0.000 (0.001) Loss 3.5682 (3.8051) Prec@1 26.562 (24.254) Prec@5 51.562 (46.720)
Epoch: [2][6000/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 3.8435 (3.8035) Prec@1 21.875 (24.265) Prec@5 46.094 (46.750)
Epoch: [2][6200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.6633 (3.8011) Prec@1 29.688 (24.296) Prec@5 52.344 (46.798)
Epoch: [2][6400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 4.1428 (3.7990) Prec@1 19.531 (24.330) Prec@5 42.969 (46.845)
Epoch: [2][6600/10010] Time 0.400 (0.400) Data 0.001 (0.001) Loss 3.9366 (3.7978) Prec@1 23.438 (24.358) Prec@5 43.750 (46.869)
Epoch: [2][6800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.8527 (3.7962) Prec@1 25.000 (24.377) Prec@5 42.969 (46.892)
Epoch: [2][7000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.4054 (3.7936) Prec@1 27.344 (24.419) Prec@5 54.688 (46.935)
Epoch: [2][7200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.8293 (3.7919) Prec@1 30.469 (24.452) Prec@5 44.531 (46.970)
Epoch: [2][7400/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.6804 (3.7897) Prec@1 24.219 (24.478) Prec@5 46.875 (47.019)
Epoch: [2][7600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.8886 (3.7875) Prec@1 23.438 (24.499) Prec@5 43.750 (47.053)
Epoch: [2][7800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.6103 (3.7854) Prec@1 28.125 (24.527) Prec@5 53.906 (47.095)
Epoch: [2][8000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 4.2346 (3.7833) Prec@1 23.438 (24.563) Prec@5 45.312 (47.132)
Epoch: [2][8200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 4.2463 (3.7807) Prec@1 19.531 (24.602) Prec@5 37.500 (47.175)
Epoch: [2][8400/10010] Time 0.396 (0.400) Data 0.001 (0.001) Loss 3.9646 (3.7786) Prec@1 22.656 (24.625) Prec@5 43.750 (47.206)
Epoch: [2][8600/10010] Time 0.398 (0.400) Data 0.001 (0.001) Loss 4.0416 (3.7765) Prec@1 23.438 (24.653) Prec@5 41.406 (47.245)
Epoch: [2][8800/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.8001 (3.7746) Prec@1 21.875 (24.680) Prec@5 43.750 (47.278)
Epoch: [2][9000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.3871 (3.7728) Prec@1 34.375 (24.703) Prec@5 58.594 (47.314)
Epoch: [2][9200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.8348 (3.7703) Prec@1 21.094 (24.735) Prec@5 46.875 (47.362)
Epoch: [2][9400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.9740 (3.7685) Prec@1 22.656 (24.756) Prec@5 44.531 (47.400)
Epoch: [2][9600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.7049 (3.7659) Prec@1 23.438 (24.788) Prec@5 45.312 (47.454)
Epoch: [2][9800/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 3.5527 (3.7640) Prec@1 24.219 (24.809) Prec@5 46.875 (47.489)
Epoch: [2][10000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.6898 (3.7617) Prec@1 24.219 (24.845) Prec@5 50.000 (47.534)
Test: [0/391] Time 4.273 (4.273) Loss 2.1052 (2.1052) Prec@1 47.656 (47.656) Prec@5 76.562 (76.562)
Test: [200/391] Time 0.158 (0.249) Loss 4.9250 (3.7448) Prec@1 5.469 (24.386) Prec@5 25.000 (49.755)
* Prec@1 21.910 Prec@5 45.090 Loss@ 3.990
==>>[2018-06-20 15:27:20] [Epoch=003/150] [Need: 167:08:29] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=21.91/45.09, Error=78.09/54.91]
Epoch: [3][0/10010] Time 4.197 (4.197) Data 4.033 (4.033) Loss 3.6178 (3.6178) Prec@1 23.438 (23.438) Prec@5 51.562 (51.562)
Epoch: [3][200/10010] Time 0.394 (0.418) Data 0.001 (0.021) Loss 3.4770 (3.6587) Prec@1 28.906 (26.049) Prec@5 51.562 (49.681)
Epoch: [3][400/10010] Time 0.402 (0.409) Data 0.000 (0.011) Loss 3.4660 (3.6573) Prec@1 28.125 (26.111) Prec@5 49.219 (49.589)
Epoch: [3][600/10010] Time 0.414 (0.406) Data 0.000 (0.007) Loss 3.8246 (3.6498) Prec@1 24.219 (26.280) Prec@5 49.219 (49.719)
Epoch: [3][800/10010] Time 0.398 (0.404) Data 0.000 (0.006) Loss 3.5313 (3.6457) Prec@1 28.125 (26.390) Prec@5 50.000 (49.755)
Epoch: [3][1000/10010] Time 0.403 (0.404) Data 0.000 (0.005) Loss 3.5403 (3.6498) Prec@1 23.438 (26.392) Prec@5 50.000 (49.645)
Epoch: [3][1200/10010] Time 0.408 (0.403) Data 0.000 (0.004) Loss 3.9154 (3.6453) Prec@1 24.219 (26.454) Prec@5 45.312 (49.719)
Epoch: [3][1400/10010] Time 0.402 (0.402) Data 0.000 (0.003) Loss 3.7407 (3.6432) Prec@1 25.781 (26.478) Prec@5 47.656 (49.752)
Epoch: [3][1600/10010] Time 0.395 (0.402) Data 0.000 (0.003) Loss 3.5890 (3.6414) Prec@1 34.375 (26.522) Prec@5 53.125 (49.797)
Epoch: [3][1800/10010] Time 0.401 (0.402) Data 0.000 (0.003) Loss 3.5702 (3.6378) Prec@1 29.688 (26.595) Prec@5 53.125 (49.815)
Epoch: [3][2000/10010] Time 0.395 (0.402) Data 0.000 (0.003) Loss 3.8929 (3.6364) Prec@1 20.312 (26.595) Prec@5 50.000 (49.827)
Epoch: [3][2200/10010] Time 0.401 (0.402) Data 0.000 (0.002) Loss 4.0238 (3.6337) Prec@1 21.094 (26.641) Prec@5 38.281 (49.876)
Epoch: [3][2400/10010] Time 0.393 (0.401) Data 0.000 (0.002) Loss 3.5911 (3.6338) Prec@1 25.781 (26.649) Prec@5 49.219 (49.900)
Epoch: [3][2600/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 3.9031 (3.6334) Prec@1 30.469 (26.679) Prec@5 48.438 (49.905)
Epoch: [3][2800/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 3.6399 (3.6338) Prec@1 28.906 (26.678) Prec@5 48.438 (49.905)
Epoch: [3][3000/10010] Time 0.405 (0.401) Data 0.000 (0.002) Loss 3.6749 (3.6314) Prec@1 25.000 (26.733) Prec@5 46.094 (49.951)
Epoch: [3][3200/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 3.5944 (3.6290) Prec@1 22.656 (26.743) Prec@5 50.000 (49.994)
Epoch: [3][3400/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 3.3507 (3.6272) Prec@1 24.219 (26.761) Prec@5 57.031 (50.028)
Epoch: [3][3600/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 3.6182 (3.6264) Prec@1 22.656 (26.778) Prec@5 51.562 (50.030)
Epoch: [3][3800/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 3.4804 (3.6243) Prec@1 31.250 (26.793) Prec@5 53.125 (50.077)
Epoch: [3][4000/10010] Time 0.406 (0.401) Data 0.000 (0.002) Loss 3.4577 (3.6221) Prec@1 24.219 (26.807) Prec@5 51.562 (50.111)
Epoch: [3][4200/10010] Time 0.391 (0.401) Data 0.000 (0.001) Loss 3.4335 (3.6204) Prec@1 28.906 (26.818) Prec@5 51.562 (50.151)
Epoch: [3][4400/10010] Time 0.403 (0.401) Data 0.000 (0.001) Loss 3.7066 (3.6206) Prec@1 27.344 (26.817) Prec@5 47.656 (50.148)
Epoch: [3][4600/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.8056 (3.6195) Prec@1 22.656 (26.838) Prec@5 47.656 (50.162)
Epoch: [3][4800/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.5827 (3.6196) Prec@1 24.219 (26.828) Prec@5 51.562 (50.167)
Epoch: [3][5000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.6516 (3.6183) Prec@1 25.781 (26.853) Prec@5 51.562 (50.189)
Epoch: [3][5200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.9946 (3.6173) Prec@1 24.219 (26.869) Prec@5 45.312 (50.221)
Epoch: [3][5400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.2732 (3.6153) Prec@1 32.812 (26.903) Prec@5 62.500 (50.261)
Epoch: [3][5600/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 3.6326 (3.6134) Prec@1 24.219 (26.935) Prec@5 51.562 (50.294)
Epoch: [3][5800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.5269 (3.6124) Prec@1 29.688 (26.951) Prec@5 56.250 (50.315)
Epoch: [3][6000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.4396 (3.6114) Prec@1 27.344 (26.971) Prec@5 52.344 (50.345)
Epoch: [3][6200/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 3.5005 (3.6115) Prec@1 28.125 (26.971) Prec@5 53.906 (50.341)
Epoch: [3][6400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.6604 (3.6102) Prec@1 26.562 (26.988) Prec@5 47.656 (50.367)
Epoch: [3][6600/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 3.3664 (3.6087) Prec@1 28.906 (27.017) Prec@5 48.438 (50.399)
Epoch: [3][6800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.8580 (3.6087) Prec@1 24.219 (27.010) Prec@5 47.656 (50.400)
Epoch: [3][7000/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 3.4956 (3.6073) Prec@1 28.125 (27.033) Prec@5 55.469 (50.435)
Epoch: [3][7200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.4714 (3.6067) Prec@1 32.031 (27.045) Prec@5 54.688 (50.444)
Epoch: [3][7400/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.3273 (3.6055) Prec@1 33.594 (27.067) Prec@5 56.250 (50.473)
Epoch: [3][7600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.4901 (3.6040) Prec@1 28.906 (27.086) Prec@5 53.906 (50.498)
Epoch: [3][7800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.6713 (3.6031) Prec@1 21.875 (27.090) Prec@5 51.562 (50.518)
Epoch: [3][8000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.8814 (3.6015) Prec@1 23.438 (27.118) Prec@5 42.969 (50.547)
Epoch: [3][8200/10010] Time 0.396 (0.400) Data 0.001 (0.001) Loss 3.5142 (3.6000) Prec@1 27.344 (27.141) Prec@5 51.562 (50.578)
Epoch: [3][8400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.5366 (3.5988) Prec@1 23.438 (27.157) Prec@5 48.438 (50.596)
Epoch: [3][8600/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.6481 (3.5978) Prec@1 27.344 (27.173) Prec@5 48.438 (50.613)
Epoch: [3][8800/10010] Time 0.409 (0.400) Data 0.000 (0.001) Loss 3.7933 (3.5970) Prec@1 28.125 (27.189) Prec@5 45.312 (50.635)
Epoch: [3][9000/10010] Time 0.432 (0.400) Data 0.000 (0.001) Loss 3.7883 (3.5963) Prec@1 23.438 (27.198) Prec@5 46.094 (50.643)
Epoch: [3][9200/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.4035 (3.5951) Prec@1 28.125 (27.206) Prec@5 50.781 (50.670)
Epoch: [3][9400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.4015 (3.5939) Prec@1 24.219 (27.232) Prec@5 50.781 (50.692)
Epoch: [3][9600/10010] Time 0.395 (0.400) Data 0.001 (0.001) Loss 3.5480 (3.5928) Prec@1 25.781 (27.245) Prec@5 54.688 (50.714)
Epoch: [3][9800/10010] Time 0.409 (0.400) Data 0.000 (0.001) Loss 3.4593 (3.5922) Prec@1 25.000 (27.252) Prec@5 56.250 (50.721)
Epoch: [3][10000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.5403 (3.5908) Prec@1 28.125 (27.279) Prec@5 50.781 (50.747)
Test: [0/391] Time 4.817 (4.817) Loss 1.9722 (1.9722) Prec@1 66.406 (66.406) Prec@5 80.469 (80.469)
Test: [200/391] Time 0.146 (0.250) Loss 4.8000 (3.6048) Prec@1 16.406 (25.494) Prec@5 33.594 (50.591)
* Prec@1 24.358 Prec@5 47.692 Loss@ 3.789
==>>[2018-06-20 16:35:38] [Epoch=004/150] [Need: 166:12:00] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=24.36/47.69, Error=75.64/52.31]
Epoch: [4][0/10010] Time 4.747 (4.747) Data 4.587 (4.587) Loss 3.7641 (3.7641) Prec@1 27.344 (27.344) Prec@5 47.656 (47.656)
Epoch: [4][200/10010] Time 0.397 (0.421) Data 0.000 (0.023) Loss 3.5042 (3.5387) Prec@1 28.906 (28.249) Prec@5 51.562 (51.978)
Epoch: [4][400/10010] Time 0.401 (0.410) Data 0.000 (0.012) Loss 3.9219 (3.5107) Prec@1 27.344 (28.485) Prec@5 47.656 (52.112)
Epoch: [4][600/10010] Time 0.412 (0.407) Data 0.000 (0.008) Loss 3.3819 (3.5030) Prec@1 32.812 (28.597) Prec@5 55.469 (52.259)
Epoch: [4][800/10010] Time 0.410 (0.405) Data 0.000 (0.006) Loss 3.8053 (3.5003) Prec@1 29.688 (28.637) Prec@5 48.438 (52.373)
Epoch: [4][1000/10010] Time 0.407 (0.404) Data 0.000 (0.005) Loss 3.3934 (3.5025) Prec@1 28.906 (28.639) Prec@5 50.000 (52.292)
Epoch: [4][1200/10010] Time 0.405 (0.403) Data 0.000 (0.004) Loss 3.2358 (3.5024) Prec@1 36.719 (28.614) Prec@5 57.031 (52.298)
Epoch: [4][1400/10010] Time 0.393 (0.403) Data 0.000 (0.004) Loss 3.4696 (3.5042) Prec@1 25.781 (28.566) Prec@5 54.688 (52.284)
Epoch: [4][1600/10010] Time 0.399 (0.402) Data 0.000 (0.003) Loss 3.6913 (3.5071) Prec@1 27.344 (28.501) Prec@5 44.531 (52.223)
Epoch: [4][1800/10010] Time 0.405 (0.402) Data 0.000 (0.003) Loss 3.1523 (3.5050) Prec@1 35.156 (28.498) Prec@5 61.719 (52.286)
Epoch: [4][2000/10010] Time 0.401 (0.402) Data 0.000 (0.003) Loss 3.5901 (3.5042) Prec@1 28.906 (28.503) Prec@5 53.906 (52.284)
Epoch: [4][2200/10010] Time 0.399 (0.402) Data 0.000 (0.003) Loss 3.5977 (3.5053) Prec@1 22.656 (28.492) Prec@5 47.656 (52.265)
Epoch: [4][2400/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 3.2658 (3.5055) Prec@1 28.906 (28.517) Prec@5 59.375 (52.289)
Epoch: [4][2600/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 3.3588 (3.5048) Prec@1 33.594 (28.497) Prec@5 56.250 (52.300)
Epoch: [4][2800/10010] Time 0.405 (0.401) Data 0.000 (0.002) Loss 3.4433 (3.5046) Prec@1 29.688 (28.517) Prec@5 52.344 (52.307)
Epoch: [4][3000/10010] Time 0.403 (0.401) Data 0.000 (0.002) Loss 4.1236 (3.5043) Prec@1 19.531 (28.535) Prec@5 41.406 (52.314)
Epoch: [4][3200/10010] Time 0.404 (0.401) Data 0.000 (0.002) Loss 3.4682 (3.5028) Prec@1 22.656 (28.550) Prec@5 50.000 (52.337)
Epoch: [4][3400/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 3.6474 (3.5030) Prec@1 28.906 (28.563) Prec@5 53.125 (52.340)
Epoch: [4][3600/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 3.5866 (3.5024) Prec@1 26.562 (28.574) Prec@5 56.250 (52.336)
Epoch: [4][3800/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 3.1906 (3.5021) Prec@1 35.156 (28.577) Prec@5 58.594 (52.337)
Epoch: [4][4000/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 3.0919 (3.5016) Prec@1 36.719 (28.562) Prec@5 57.812 (52.365)
Epoch: [4][4200/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 3.7488 (3.5005) Prec@1 26.562 (28.592) Prec@5 48.438 (52.371)
Epoch: [4][4400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.4077 (3.5005) Prec@1 28.125 (28.588) Prec@5 51.562 (52.377)
Epoch: [4][4600/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 3.5408 (3.5004) Prec@1 29.688 (28.585) Prec@5 53.125 (52.372)
Epoch: [4][4800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.8293 (3.5001) Prec@1 24.219 (28.598) Prec@5 44.531 (52.384)
Epoch: [4][5000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.5572 (3.4999) Prec@1 29.688 (28.610) Prec@5 50.781 (52.397)
Epoch: [4][5200/10010] Time 0.411 (0.400) Data 0.001 (0.001) Loss 3.5561 (3.5000) Prec@1 26.562 (28.603) Prec@5 46.875 (52.396)
Epoch: [4][5400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.0310 (3.5003) Prec@1 40.625 (28.599) Prec@5 64.062 (52.402)
Epoch: [4][5600/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.6010 (3.4998) Prec@1 24.219 (28.611) Prec@5 50.781 (52.408)
Epoch: [4][5800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.5051 (3.4991) Prec@1 31.250 (28.631) Prec@5 55.469 (52.417)
Epoch: [4][6000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.4811 (3.4977) Prec@1 22.656 (28.660) Prec@5 54.688 (52.451)
Epoch: [4][6200/10010] Time 0.394 (0.400) Data 0.001 (0.001) Loss 3.7054 (3.4975) Prec@1 28.906 (28.660) Prec@5 48.438 (52.441)
Epoch: [4][6400/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 3.4921 (3.4968) Prec@1 31.250 (28.672) Prec@5 53.906 (52.453)
Epoch: [4][6600/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 3.1508 (3.4969) Prec@1 38.281 (28.675) Prec@5 57.031 (52.451)
Epoch: [4][6800/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 3.1979 (3.4957) Prec@1 38.281 (28.693) Prec@5 60.938 (52.474)
Epoch: [4][7000/10010] Time 0.397 (0.400) Data 0.001 (0.001) Loss 3.5657 (3.4941) Prec@1 32.812 (28.718) Prec@5 51.562 (52.516)
Epoch: [4][7200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.6681 (3.4938) Prec@1 29.688 (28.724) Prec@5 48.438 (52.517)
Epoch: [4][7400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.4812 (3.4930) Prec@1 32.031 (28.735) Prec@5 53.125 (52.545)
Epoch: [4][7600/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 3.6689 (3.4929) Prec@1 28.906 (28.742) Prec@5 53.906 (52.553)
Epoch: [4][7800/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 3.6810 (3.4924) Prec@1 26.562 (28.749) Prec@5 52.344 (52.567)
Epoch: [4][8000/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.7392 (3.4918) Prec@1 21.094 (28.759) Prec@5 43.750 (52.586)
Epoch: [4][8200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.2359 (3.4912) Prec@1 31.250 (28.772) Prec@5 57.031 (52.597)
Epoch: [4][8400/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.4026 (3.4911) Prec@1 30.469 (28.774) Prec@5 57.812 (52.599)
Epoch: [4][8600/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 3.0533 (3.4904) Prec@1 38.281 (28.789) Prec@5 60.156 (52.605)
Epoch: [4][8800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.2214 (3.4893) Prec@1 29.688 (28.803) Prec@5 60.938 (52.628)
Epoch: [4][9000/10010] Time 0.390 (0.400) Data 0.000 (0.001) Loss 3.5182 (3.4888) Prec@1 27.344 (28.807) Prec@5 49.219 (52.643)
Epoch: [4][9200/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.5426 (3.4884) Prec@1 30.469 (28.821) Prec@5 47.656 (52.650)
Epoch: [4][9400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.9479 (3.4879) Prec@1 25.781 (28.829) Prec@5 47.656 (52.661)
Epoch: [4][9600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.3819 (3.4877) Prec@1 30.469 (28.837) Prec@5 52.344 (52.664)
Epoch: [4][9800/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 3.8603 (3.4872) Prec@1 27.344 (28.837) Prec@5 42.969 (52.677)
Epoch: [4][10000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.6549 (3.4865) Prec@1 24.219 (28.851) Prec@5 49.219 (52.691)
Test: [0/391] Time 4.886 (4.886) Loss 1.6747 (1.6747) Prec@1 60.156 (60.156) Prec@5 85.938 (85.938)
Test: [200/391] Time 0.159 (0.244) Loss 4.7703 (3.4304) Prec@1 10.156 (28.444) Prec@5 28.906 (54.116)
* Prec@1 25.474 Prec@5 49.322 Loss@ 3.705
==>>[2018-06-20 17:43:53] [Epoch=005/150] [Need: 164:54:58] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=25.47/49.32, Error=74.53/50.68]
Epoch: [5][0/10010] Time 4.847 (4.847) Data 4.689 (4.689) Loss 3.0978 (3.0978) Prec@1 37.500 (37.500) Prec@5 59.375 (59.375)
Epoch: [5][200/10010] Time 0.395 (0.422) Data 0.000 (0.027) Loss 3.2629 (3.4423) Prec@1 30.469 (29.287) Prec@5 53.125 (53.451)
Epoch: [5][400/10010] Time 0.397 (0.411) Data 0.000 (0.014) Loss 3.1130 (3.4338) Prec@1 32.812 (29.532) Prec@5 57.812 (53.704)
Epoch: [5][600/10010] Time 0.399 (0.407) Data 0.000 (0.009) Loss 3.3864 (3.4293) Prec@1 30.469 (29.629) Prec@5 48.438 (53.823)
Epoch: [5][800/10010] Time 0.398 (0.405) Data 0.000 (0.007) Loss 3.1903 (3.4244) Prec@1 34.375 (29.671) Prec@5 51.562 (53.916)
Epoch: [5][1000/10010] Time 0.394 (0.404) Data 0.000 (0.006) Loss 3.8560 (3.4288) Prec@1 22.656 (29.708) Prec@5 42.969 (53.798)
Epoch: [5][1200/10010] Time 0.396 (0.403) Data 0.000 (0.005) Loss 3.5653 (3.4297) Prec@1 30.469 (29.658) Prec@5 51.562 (53.738)
Epoch: [5][1400/10010] Time 0.402 (0.403) Data 0.000 (0.004) Loss 3.4409 (3.4257) Prec@1 25.781 (29.679) Prec@5 53.906 (53.799)
Epoch: [5][1600/10010] Time 0.399 (0.402) Data 0.000 (0.004) Loss 3.2968 (3.4242) Prec@1 32.031 (29.711) Prec@5 60.156 (53.803)
Epoch: [5][1800/10010] Time 0.396 (0.402) Data 0.000 (0.003) Loss 3.6412 (3.4262) Prec@1 25.781 (29.706) Prec@5 52.344 (53.782)
Epoch: [5][2000/10010] Time 0.397 (0.402) Data 0.000 (0.003) Loss 3.6275 (3.4252) Prec@1 25.000 (29.734) Prec@5 47.656 (53.809)
Epoch: [5][2200/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 3.6368 (3.4257) Prec@1 23.438 (29.705) Prec@5 48.438 (53.793)
Epoch: [5][2400/10010] Time 0.393 (0.401) Data 0.000 (0.003) Loss 3.3323 (3.4250) Prec@1 35.938 (29.699) Prec@5 60.938 (53.824)
Epoch: [5][2600/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 3.7212 (3.4253) Prec@1 22.656 (29.668) Prec@5 50.000 (53.810)
Epoch: [5][2800/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 3.8124 (3.4275) Prec@1 28.906 (29.672) Prec@5 49.219 (53.761)
Epoch: [5][3000/10010] Time 0.403 (0.401) Data 0.000 (0.002) Loss 3.7005 (3.4291) Prec@1 26.562 (29.668) Prec@5 45.312 (53.725)
Epoch: [5][3200/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 3.2267 (3.4295) Prec@1 27.344 (29.658) Prec@5 54.688 (53.723)
Epoch: [5][3400/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 3.5622 (3.4309) Prec@1 26.562 (29.616) Prec@5 52.344 (53.702)
Epoch: [5][3600/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 3.6532 (3.4307) Prec@1 23.438 (29.649) Prec@5 49.219 (53.703)
Epoch: [5][3800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.1302 (3.4328) Prec@1 38.281 (29.610) Prec@5 64.062 (53.675)
Epoch: [5][4000/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.7081 (3.4328) Prec@1 24.219 (29.610) Prec@5 53.906 (53.689)
Epoch: [5][4200/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 3.4324 (3.4322) Prec@1 31.250 (29.613) Prec@5 57.812 (53.703)
Epoch: [5][4400/10010] Time 0.400 (0.400) Data 0.001 (0.002) Loss 3.7928 (3.4304) Prec@1 28.906 (29.638) Prec@5 47.656 (53.741)
Epoch: [5][4600/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 3.3802 (3.4299) Prec@1 30.469 (29.647) Prec@5 52.344 (53.747)
Epoch: [5][4800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.8518 (3.4297) Prec@1 29.688 (29.640) Prec@5 42.188 (53.736)
Epoch: [5][5000/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 3.2854 (3.4284) Prec@1 31.250 (29.652) Prec@5 54.688 (53.756)
Epoch: [5][5200/10010] Time 0.388 (0.400) Data 0.000 (0.002) Loss 3.3405 (3.4282) Prec@1 34.375 (29.635) Prec@5 55.469 (53.753)
Epoch: [5][5400/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 3.3793 (3.4280) Prec@1 31.250 (29.636) Prec@5 56.250 (53.756)
Epoch: [5][5600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.3511 (3.4269) Prec@1 29.688 (29.655) Prec@5 54.688 (53.771)
Epoch: [5][5800/10010] Time 0.392 (0.400) Data 0.001 (0.001) Loss 3.5028 (3.4263) Prec@1 23.438 (29.667) Prec@5 50.781 (53.787)
Epoch: [5][6000/10010] Time 0.408 (0.400) Data 0.001 (0.001) Loss 3.5025 (3.4255) Prec@1 28.906 (29.686) Prec@5 58.594 (53.802)
Epoch: [5][6200/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 3.8255 (3.4257) Prec@1 25.781 (29.680) Prec@5 47.656 (53.792)
Epoch: [5][6400/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.4967 (3.4251) Prec@1 27.344 (29.689) Prec@5 57.031 (53.812)
Epoch: [5][6600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.3394 (3.4248) Prec@1 27.344 (29.697) Prec@5 57.812 (53.827)
Epoch: [5][6800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.5618 (3.4241) Prec@1 28.906 (29.714) Prec@5 51.562 (53.842)
Epoch: [5][7000/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 3.5586 (3.4241) Prec@1 28.906 (29.721) Prec@5 54.688 (53.840)
Epoch: [5][7200/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.1428 (3.4236) Prec@1 30.469 (29.732) Prec@5 58.594 (53.842)
Epoch: [5][7400/10010] Time 0.412 (0.400) Data 0.000 (0.001) Loss 3.5103 (3.4230) Prec@1 26.562 (29.750) Prec@5 56.250 (53.860)
Epoch: [5][7600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.7323 (3.4225) Prec@1 27.344 (29.761) Prec@5 48.438 (53.876)
Epoch: [5][7800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.2574 (3.4222) Prec@1 34.375 (29.765) Prec@5 57.031 (53.885)
Epoch: [5][8000/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.2193 (3.4215) Prec@1 32.031 (29.776) Prec@5 53.125 (53.896)
Epoch: [5][8200/10010] Time 0.397 (0.400) Data 0.001 (0.001) Loss 3.3683 (3.4213) Prec@1 32.031 (29.786) Prec@5 58.594 (53.897)
Epoch: [5][8400/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 3.5316 (3.4214) Prec@1 33.594 (29.783) Prec@5 50.000 (53.898)
Epoch: [5][8600/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 3.5374 (3.4212) Prec@1 30.469 (29.784) Prec@5 55.469 (53.905)
Epoch: [5][8800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.3110 (3.4212) Prec@1 28.125 (29.787) Prec@5 60.156 (53.903)
Epoch: [5][9000/10010] Time 0.401 (0.400) Data 0.001 (0.001) Loss 3.0995 (3.4205) Prec@1 38.281 (29.792) Prec@5 61.719 (53.914)
Epoch: [5][9200/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.2834 (3.4207) Prec@1 35.156 (29.791) Prec@5 55.469 (53.907)
Epoch: [5][9400/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 2.9525 (3.4198) Prec@1 30.469 (29.805) Prec@5 58.594 (53.925)
Epoch: [5][9600/10010] Time 0.395 (0.400) Data 0.001 (0.001) Loss 3.2908 (3.4194) Prec@1 26.562 (29.819) Prec@5 54.688 (53.932)
Epoch: [5][9800/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 3.0468 (3.4194) Prec@1 32.812 (29.819) Prec@5 62.500 (53.940)
Epoch: [5][10000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.5090 (3.4193) Prec@1 27.344 (29.829) Prec@5 53.125 (53.941)
Test: [0/391] Time 5.011 (5.011) Loss 1.1752 (1.1752) Prec@1 76.562 (76.562) Prec@5 91.406 (91.406)
Test: [200/391] Time 0.152 (0.250) Loss 4.1434 (2.9782) Prec@1 17.188 (34.060) Prec@5 42.188 (62.018)
* Prec@1 30.494 Prec@5 56.000 Loss@ 3.327
==>>[2018-06-20 18:52:05] [Epoch=006/150] [Need: 163:41:32] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=30.49/56.00, Error=69.51/44.00]
Epoch: [6][0/10010] Time 4.460 (4.460) Data 4.299 (4.299) Loss 3.3924 (3.3924) Prec@1 32.812 (32.812) Prec@5 56.250 (56.250)
Epoch: [6][200/10010] Time 0.398 (0.420) Data 0.000 (0.023) Loss 3.0666 (3.3884) Prec@1 29.688 (30.364) Prec@5 57.812 (54.369)
Epoch: [6][400/10010] Time 0.391 (0.410) Data 0.000 (0.012) Loss 3.2750 (3.3682) Prec@1 32.812 (30.749) Prec@5 58.594 (54.890)
Epoch: [6][600/10010] Time 0.397 (0.406) Data 0.000 (0.008) Loss 3.1352 (3.3680) Prec@1 29.688 (30.626) Prec@5 60.938 (54.810)
Epoch: [6][800/10010] Time 0.399 (0.404) Data 0.002 (0.006) Loss 3.7022 (3.3710) Prec@1 26.562 (30.504) Prec@5 52.344 (54.759)
Epoch: [6][1000/10010] Time 0.392 (0.403) Data 0.000 (0.005) Loss 3.4322 (3.3731) Prec@1 29.688 (30.374) Prec@5 52.344 (54.712)
Epoch: [6][1200/10010] Time 0.403 (0.403) Data 0.000 (0.004) Loss 3.4652 (3.3777) Prec@1 25.000 (30.318) Prec@5 57.031 (54.629)
Epoch: [6][1400/10010] Time 0.399 (0.402) Data 0.001 (0.004) Loss 3.3430 (3.3749) Prec@1 30.469 (30.392) Prec@5 58.594 (54.719)
Epoch: [6][1600/10010] Time 0.397 (0.402) Data 0.001 (0.003) Loss 3.5444 (3.3734) Prec@1 26.562 (30.403) Prec@5 50.000 (54.773)
Epoch: [6][1800/10010] Time 0.399 (0.402) Data 0.000 (0.003) Loss 3.4960 (3.3732) Prec@1 28.906 (30.436) Prec@5 51.562 (54.755)
Epoch: [6][2000/10010] Time 0.391 (0.401) Data 0.000 (0.003) Loss 3.1721 (3.3742) Prec@1 36.719 (30.466) Prec@5 60.156 (54.762)
Epoch: [6][2200/10010] Time 0.397 (0.401) Data 0.000 (0.003) Loss 3.4088 (3.3773) Prec@1 28.125 (30.448) Prec@5 59.375 (54.730)
Epoch: [6][2400/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 3.3272 (3.3791) Prec@1 28.125 (30.415) Prec@5 52.344 (54.701)
Epoch: [6][2600/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 3.4367 (3.3775) Prec@1 28.906 (30.417) Prec@5 52.344 (54.712)
Epoch: [6][2800/10010] Time 0.404 (0.401) Data 0.000 (0.002) Loss 3.3759 (3.3773) Prec@1 29.688 (30.416) Prec@5 57.031 (54.715)
Epoch: [6][3000/10010] Time 0.393 (0.401) Data 0.001 (0.002) Loss 3.1108 (3.3784) Prec@1 32.812 (30.398) Prec@5 59.375 (54.699)
Epoch: [6][3200/10010] Time 0.398 (0.401) Data 0.001 (0.002) Loss 3.3229 (3.3793) Prec@1 30.469 (30.396) Prec@5 54.688 (54.667)
Epoch: [6][3400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.3911 (3.3808) Prec@1 28.906 (30.363) Prec@5 53.906 (54.645)
Epoch: [6][3600/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.4549 (3.3792) Prec@1 28.125 (30.391) Prec@5 52.344 (54.683)
Epoch: [6][3800/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 3.2706 (3.3787) Prec@1 32.812 (30.385) Prec@5 56.250 (54.689)
Epoch: [6][4000/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.3243 (3.3782) Prec@1 31.250 (30.391) Prec@5 51.562 (54.711)
Epoch: [6][4200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.3188 (3.3785) Prec@1 37.500 (30.393) Prec@5 54.688 (54.698)
Epoch: [6][4400/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.7002 (3.3791) Prec@1 24.219 (30.385) Prec@5 52.344 (54.677)
Epoch: [6][4600/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.9375 (3.3782) Prec@1 35.938 (30.400) Prec@5 59.375 (54.682)
Epoch: [6][4800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.5790 (3.3790) Prec@1 27.344 (30.397) Prec@5 52.344 (54.668)
Epoch: [6][5000/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 3.2355 (3.3784) Prec@1 32.031 (30.401) Prec@5 59.375 (54.667)
Epoch: [6][5200/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 3.4196 (3.3777) Prec@1 34.375 (30.427) Prec@5 50.000 (54.678)
Epoch: [6][5400/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 3.1482 (3.3773) Prec@1 29.688 (30.443) Prec@5 57.031 (54.677)
Epoch: [6][5600/10010] Time 0.386 (0.400) Data 0.001 (0.001) Loss 3.4588 (3.3780) Prec@1 22.656 (30.441) Prec@5 50.000 (54.677)
Epoch: [6][5800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.2460 (3.3784) Prec@1 32.031 (30.439) Prec@5 56.250 (54.660)
Epoch: [6][6000/10010] Time 0.394 (0.400) Data 0.001 (0.001) Loss 3.2695 (3.3778) Prec@1 37.500 (30.448) Prec@5 60.938 (54.676)
Epoch: [6][6200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.3341 (3.3773) Prec@1 32.031 (30.451) Prec@5 53.906 (54.688)
Epoch: [6][6400/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.9075 (3.3774) Prec@1 35.156 (30.464) Prec@5 65.625 (54.691)
Epoch: [6][6600/10010] Time 0.410 (0.400) Data 0.000 (0.001) Loss 3.4241 (3.3768) Prec@1 30.469 (30.484) Prec@5 56.250 (54.703)
Epoch: [6][6800/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 3.1428 (3.3770) Prec@1 33.594 (30.468) Prec@5 55.469 (54.705)
Epoch: [6][7000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.4995 (3.3766) Prec@1 26.562 (30.479) Prec@5 56.250 (54.709)
Epoch: [6][7200/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 3.5979 (3.3765) Prec@1 29.688 (30.475) Prec@5 51.562 (54.720)
Epoch: [6][7400/10010] Time 0.394 (0.400) Data 0.001 (0.001) Loss 3.1840 (3.3767) Prec@1 35.938 (30.472) Prec@5 64.062 (54.729)
Epoch: [6][7600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.5053 (3.3762) Prec@1 28.125 (30.466) Prec@5 53.906 (54.731)
Epoch: [6][7800/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 2.9607 (3.3764) Prec@1 37.500 (30.451) Prec@5 65.625 (54.726)
Epoch: [6][8000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.6552 (3.3765) Prec@1 25.000 (30.450) Prec@5 49.219 (54.718)
Epoch: [6][8200/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 3.1948 (3.3764) Prec@1 33.594 (30.447) Prec@5 63.281 (54.724)
Epoch: [6][8400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.6687 (3.3763) Prec@1 26.562 (30.448) Prec@5 46.875 (54.728)
Epoch: [6][8600/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.0268 (3.3756) Prec@1 37.500 (30.460) Prec@5 64.844 (54.740)
Epoch: [6][8800/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.3920 (3.3752) Prec@1 32.031 (30.471) Prec@5 55.469 (54.747)
Epoch: [6][9000/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.3582 (3.3745) Prec@1 31.250 (30.490) Prec@5 52.344 (54.761)
Epoch: [6][9200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.5129 (3.3736) Prec@1 32.031 (30.510) Prec@5 54.688 (54.783)
Epoch: [6][9400/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.1687 (3.3732) Prec@1 30.469 (30.516) Prec@5 58.594 (54.796)
Epoch: [6][9600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.2276 (3.3728) Prec@1 32.812 (30.517) Prec@5 57.031 (54.800)
Epoch: [6][9800/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.9173 (3.3730) Prec@1 42.188 (30.513) Prec@5 63.281 (54.792)
Epoch: [6][10000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.6347 (3.3729) Prec@1 24.219 (30.515) Prec@5 51.562 (54.791)
Test: [0/391] Time 5.208 (5.208) Loss 2.2524 (2.2524) Prec@1 47.656 (47.656) Prec@5 74.219 (74.219)
Test: [200/391] Time 0.155 (0.250) Loss 3.5769 (3.0463) Prec@1 24.219 (32.956) Prec@5 50.000 (60.700)
* Prec@1 30.146 Prec@5 55.724 Loss@ 3.314
==>>[2018-06-20 20:00:17] [Epoch=007/150] [Need: 162:31:46] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=30.49/56.00, Error=69.51/44.00]
Epoch: [7][0/10010] Time 4.306 (4.306) Data 4.147 (4.147) Loss 3.2405 (3.2405) Prec@1 35.938 (35.938) Prec@5 59.375 (59.375)
Epoch: [7][200/10010] Time 0.400 (0.422) Data 0.001 (0.022) Loss 3.0583 (3.3555) Prec@1 33.594 (31.098) Prec@5 58.594 (55.006)
Epoch: [7][400/10010] Time 0.397 (0.410) Data 0.000 (0.011) Loss 3.6433 (3.3397) Prec@1 29.688 (31.158) Prec@5 49.219 (55.346)
Epoch: [7][600/10010] Time 0.403 (0.407) Data 0.000 (0.008) Loss 3.1801 (3.3346) Prec@1 36.719 (31.237) Prec@5 60.938 (55.412)
Epoch: [7][800/10010] Time 0.397 (0.405) Data 0.000 (0.006) Loss 3.2769 (3.3390) Prec@1 28.906 (31.166) Prec@5 55.469 (55.324)
Epoch: [7][1000/10010] Time 0.401 (0.404) Data 0.001 (0.005) Loss 3.6453 (3.3368) Prec@1 24.219 (31.197) Prec@5 51.562 (55.363)
Epoch: [7][1200/10010] Time 0.401 (0.403) Data 0.000 (0.004) Loss 3.0672 (3.3329) Prec@1 38.281 (31.296) Prec@5 55.469 (55.432)
Epoch: [7][1400/10010] Time 0.399 (0.402) Data 0.000 (0.004) Loss 3.3445 (3.3366) Prec@1 32.812 (31.265) Prec@5 54.688 (55.380)
Epoch: [7][1600/10010] Time 0.391 (0.402) Data 0.000 (0.003) Loss 3.1908 (3.3355) Prec@1 35.156 (31.245) Prec@5 56.250 (55.415)
Epoch: [7][1800/10010] Time 0.396 (0.402) Data 0.000 (0.003) Loss 3.3334 (3.3337) Prec@1 31.250 (31.304) Prec@5 56.250 (55.465)
Epoch: [7][2000/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 3.2395 (3.3356) Prec@1 32.812 (31.275) Prec@5 56.250 (55.438)
Epoch: [7][2200/10010] Time 0.405 (0.401) Data 0.000 (0.002) Loss 3.2442 (3.3353) Prec@1 37.500 (31.279) Prec@5 54.688 (55.477)
Epoch: [7][2400/10010] Time 0.405 (0.401) Data 0.000 (0.002) Loss 2.9585 (3.3356) Prec@1 35.156 (31.290) Prec@5 64.062 (55.507)
Epoch: [7][2600/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 2.9195 (3.3345) Prec@1 36.719 (31.281) Prec@5 62.500 (55.520)
Epoch: [7][2800/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 3.5064 (3.3371) Prec@1 23.438 (31.218) Prec@5 50.000 (55.473)
Epoch: [7][3000/10010] Time 0.403 (0.401) Data 0.000 (0.002) Loss 3.3877 (3.3372) Prec@1 27.344 (31.195) Prec@5 53.906 (55.481)
Epoch: [7][3200/10010] Time 0.400 (0.400) Data 0.001 (0.002) Loss 3.0033 (3.3371) Prec@1 38.281 (31.184) Prec@5 59.375 (55.471)
Epoch: [7][3400/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.2451 (3.3371) Prec@1 28.125 (31.182) Prec@5 57.812 (55.484)
Epoch: [7][3600/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 3.1525 (3.3384) Prec@1 31.250 (31.142) Prec@5 59.375 (55.455)
Epoch: [7][3800/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 3.1956 (3.3396) Prec@1 33.594 (31.119) Prec@5 56.250 (55.433)
Epoch: [7][4000/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 2.9544 (3.3405) Prec@1 36.719 (31.103) Prec@5 65.625 (55.424)
Epoch: [7][4200/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.2744 (3.3398) Prec@1 31.250 (31.108) Prec@5 50.000 (55.435)
Epoch: [7][4400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.1479 (3.3394) Prec@1 35.938 (31.115) Prec@5 57.812 (55.434)
Epoch: [7][4600/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 3.4320 (3.3389) Prec@1 28.906 (31.126) Prec@5 57.812 (55.449)
Epoch: [7][4800/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.4075 (3.3392) Prec@1 31.250 (31.108) Prec@5 50.000 (55.451)
Epoch: [7][5000/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 2.9917 (3.3398) Prec@1 37.500 (31.106) Prec@5 60.156 (55.443)
Epoch: [7][5200/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 3.5176 (3.3406) Prec@1 28.906 (31.094) Prec@5 53.125 (55.421)
Epoch: [7][5400/10010] Time 0.393 (0.400) Data 0.001 (0.001) Loss 3.3737 (3.3402) Prec@1 31.250 (31.092) Prec@5 50.000 (55.425)
Epoch: [7][5600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.3181 (3.3405) Prec@1 30.469 (31.089) Prec@5 59.375 (55.424)
Epoch: [7][5800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.2219 (3.3405) Prec@1 32.812 (31.090) Prec@5 60.156 (55.414)
Epoch: [7][6000/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.4516 (3.3405) Prec@1 33.594 (31.092) Prec@5 53.906 (55.410)
Epoch: [7][6200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.2732 (3.3408) Prec@1 35.156 (31.087) Prec@5 55.469 (55.403)
Epoch: [7][6400/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.8052 (3.3403) Prec@1 27.344 (31.085) Prec@5 53.125 (55.407)
Epoch: [7][6600/10010] Time 0.397 (0.400) Data 0.013 (0.001) Loss 3.2693 (3.3399) Prec@1 31.250 (31.083) Prec@5 53.906 (55.398)
Epoch: [7][6800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.8473 (3.3396) Prec@1 34.375 (31.087) Prec@5 65.625 (55.395)
Epoch: [7][7000/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.5705 (3.3399) Prec@1 26.562 (31.086) Prec@5 49.219 (55.384)
Epoch: [7][7200/10010] Time 0.405 (0.400) Data 0.001 (0.001) Loss 3.3105 (3.3394) Prec@1 33.594 (31.094) Prec@5 54.688 (55.388)
Epoch: [7][7400/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.2366 (3.3393) Prec@1 37.500 (31.092) Prec@5 56.250 (55.397)
Epoch: [7][7600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.0755 (3.3394) Prec@1 32.031 (31.087) Prec@5 58.594 (55.387)
Epoch: [7][7800/10010] Time 0.393 (0.400) Data 0.001 (0.001) Loss 3.5846 (3.3394) Prec@1 27.344 (31.089) Prec@5 53.906 (55.392)
Epoch: [7][8000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.2232 (3.3395) Prec@1 38.281 (31.079) Prec@5 60.938 (55.384)
Epoch: [7][8200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.5921 (3.3393) Prec@1 26.562 (31.077) Prec@5 50.000 (55.382)
Epoch: [7][8400/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 3.3880 (3.3392) Prec@1 25.000 (31.080) Prec@5 56.250 (55.387)
Epoch: [7][8600/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 3.1251 (3.3391) Prec@1 30.469 (31.083) Prec@5 60.938 (55.389)
Epoch: [7][8800/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 3.1758 (3.3386) Prec@1 30.469 (31.091) Prec@5 59.375 (55.399)
Epoch: [7][9000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.7166 (3.3384) Prec@1 32.812 (31.090) Prec@5 47.656 (55.401)
Epoch: [7][9200/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.0915 (3.3381) Prec@1 32.812 (31.091) Prec@5 60.156 (55.405)
Epoch: [7][9400/10010] Time 0.395 (0.400) Data 0.001 (0.001) Loss 3.1123 (3.3378) Prec@1 35.938 (31.094) Prec@5 58.594 (55.414)
Epoch: [7][9600/10010] Time 0.400 (0.400) Data 0.001 (0.001) Loss 3.4523 (3.3376) Prec@1 23.438 (31.095) Prec@5 50.781 (55.419)
Epoch: [7][9800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.5114 (3.3366) Prec@1 27.344 (31.113) Prec@5 53.906 (55.433)
Epoch: [7][10000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.2996 (3.3365) Prec@1 37.500 (31.117) Prec@5 54.688 (55.443)
Test: [0/391] Time 4.802 (4.802) Loss 2.1124 (2.1124) Prec@1 54.688 (54.688) Prec@5 78.906 (78.906)
Test: [200/391] Time 0.139 (0.242) Loss 4.6500 (3.2671) Prec@1 13.281 (30.236) Prec@5 33.594 (57.280)
* Prec@1 27.780 Prec@5 53.338 Loss@ 3.496
==>>[2018-06-20 21:08:27] [Epoch=008/150] [Need: 161:19:03] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=30.49/56.00, Error=69.51/44.00]
Epoch: [8][0/10010] Time 4.691 (4.691) Data 4.522 (4.522) Loss 3.4947 (3.4947) Prec@1 25.000 (25.000) Prec@5 53.125 (53.125)
Epoch: [8][200/10010] Time 0.391 (0.421) Data 0.000 (0.027) Loss 3.1902 (3.2949) Prec@1 30.469 (31.709) Prec@5 54.688 (56.028)
Epoch: [8][400/10010] Time 0.395 (0.410) Data 0.000 (0.014) Loss 3.1663 (3.2976) Prec@1 35.938 (31.741) Prec@5 57.031 (56.127)
Epoch: [8][600/10010] Time 0.405 (0.406) Data 0.000 (0.009) Loss 3.7837 (3.2994) Prec@1 23.438 (31.728) Prec@5 46.094 (56.078)
Epoch: [8][800/10010] Time 0.397 (0.404) Data 0.000 (0.007) Loss 3.7122 (3.2957) Prec@1 26.562 (31.704) Prec@5 54.688 (56.147)
Epoch: [8][1000/10010] Time 0.396 (0.403) Data 0.000 (0.006) Loss 3.5246 (3.3035) Prec@1 25.781 (31.687) Prec@5 57.031 (55.986)
Epoch: [8][1200/10010] Time 0.399 (0.403) Data 0.000 (0.005) Loss 3.0997 (3.3065) Prec@1 38.281 (31.643) Prec@5 58.594 (55.957)
Epoch: [8][1400/10010] Time 0.399 (0.402) Data 0.000 (0.004) Loss 3.7282 (3.3046) Prec@1 21.875 (31.692) Prec@5 49.219 (55.997)
Epoch: [8][1600/10010] Time 0.398 (0.402) Data 0.000 (0.004) Loss 3.2768 (3.3046) Prec@1 27.344 (31.642) Prec@5 57.031 (55.995)
Epoch: [8][1800/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 3.5382 (3.3095) Prec@1 24.219 (31.570) Prec@5 49.219 (55.920)
Epoch: [8][2000/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 3.2231 (3.3098) Prec@1 35.938 (31.565) Prec@5 57.031 (55.902)
Epoch: [8][2200/10010] Time 0.397 (0.401) Data 0.000 (0.003) Loss 3.3798 (3.3101) Prec@1 32.812 (31.566) Prec@5 53.906 (55.906)
Epoch: [8][2400/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 2.9517 (3.3094) Prec@1 35.156 (31.561) Prec@5 64.062 (55.923)
Epoch: [8][2600/10010] Time 0.401 (0.401) Data 0.001 (0.002) Loss 3.2121 (3.3104) Prec@1 30.469 (31.531) Prec@5 56.250 (55.898)
Epoch: [8][2800/10010] Time 0.403 (0.401) Data 0.000 (0.002) Loss 3.0956 (3.3108) Prec@1 37.500 (31.504) Prec@5 58.594 (55.894)
Epoch: [8][3000/10010] Time 0.409 (0.400) Data 0.000 (0.002) Loss 3.1283 (3.3103) Prec@1 35.156 (31.508) Prec@5 61.719 (55.914)
Epoch: [8][3200/10010] Time 0.405 (0.400) Data 0.001 (0.002) Loss 3.9894 (3.3120) Prec@1 25.781 (31.480) Prec@5 49.219 (55.890)
Epoch: [8][3400/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 3.2726 (3.3123) Prec@1 31.250 (31.472) Prec@5 55.469 (55.885)
Epoch: [8][3600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.4676 (3.3124) Prec@1 32.031 (31.468) Prec@5 57.812 (55.878)
Epoch: [8][3800/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.3814 (3.3131) Prec@1 27.344 (31.450) Prec@5 53.125 (55.866)
Epoch: [8][4000/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.4330 (3.3128) Prec@1 26.562 (31.466) Prec@5 56.250 (55.870)
Epoch: [8][4200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.5144 (3.3131) Prec@1 27.344 (31.472) Prec@5 51.562 (55.868)
Epoch: [8][4400/10010] Time 0.397 (0.400) Data 0.001 (0.002) Loss 3.1190 (3.3128) Prec@1 37.500 (31.481) Prec@5 59.375 (55.860)
Epoch: [8][4600/10010] Time 0.397 (0.400) Data 0.001 (0.002) Loss 3.5149 (3.3124) Prec@1 25.000 (31.497) Prec@5 52.344 (55.867)
Epoch: [8][4800/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.0212 (3.3131) Prec@1 34.375 (31.484) Prec@5 58.594 (55.844)
Epoch: [8][5000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.1955 (3.3135) Prec@1 31.250 (31.476) Prec@5 54.688 (55.843)
Epoch: [8][5200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.0886 (3.3127) Prec@1 38.281 (31.490) Prec@5 59.375 (55.841)
Epoch: [8][5400/10010] Time 0.402 (0.400) Data 0.001 (0.001) Loss 3.1922 (3.3128) Prec@1 36.719 (31.503) Prec@5 60.156 (55.842)
Epoch: [8][5600/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 3.4436 (3.3125) Prec@1 32.031 (31.506) Prec@5 53.125 (55.850)
Epoch: [8][5800/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 3.2030 (3.3128) Prec@1 35.938 (31.495) Prec@5 57.812 (55.835)
Epoch: [8][6000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.6591 (3.3127) Prec@1 24.219 (31.496) Prec@5 53.125 (55.847)
Epoch: [8][6200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.2516 (3.3135) Prec@1 29.688 (31.475) Prec@5 53.125 (55.829)
Epoch: [8][6400/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 3.6745 (3.3134) Prec@1 28.906 (31.468) Prec@5 53.125 (55.833)
Epoch: [8][6600/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 2.8634 (3.3134) Prec@1 43.750 (31.481) Prec@5 61.719 (55.837)
Epoch: [8][6800/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.4485 (3.3132) Prec@1 24.219 (31.477) Prec@5 52.344 (55.839)
Epoch: [8][7000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.1812 (3.3130) Prec@1 36.719 (31.481) Prec@5 59.375 (55.844)
Epoch: [8][7200/10010] Time 0.389 (0.400) Data 0.000 (0.001) Loss 2.9290 (3.3128) Prec@1 40.625 (31.495) Prec@5 62.500 (55.848)
Epoch: [8][7400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.2885 (3.3129) Prec@1 36.719 (31.500) Prec@5 57.031 (55.859)
Epoch: [8][7600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.3851 (3.3128) Prec@1 29.688 (31.509) Prec@5 50.000 (55.860)
Epoch: [8][7800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.3503 (3.3128) Prec@1 27.344 (31.511) Prec@5 58.594 (55.867)
Epoch: [8][8000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.5164 (3.3129) Prec@1 28.125 (31.515) Prec@5 48.438 (55.863)
Epoch: [8][8200/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.4405 (3.3128) Prec@1 30.469 (31.515) Prec@5 50.000 (55.864)
Epoch: [8][8400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.1053 (3.3125) Prec@1 35.938 (31.520) Prec@5 59.375 (55.875)
Epoch: [8][8600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.3566 (3.3124) Prec@1 35.156 (31.523) Prec@5 58.594 (55.877)
Epoch: [8][8800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.3906 (3.3128) Prec@1 32.031 (31.519) Prec@5 54.688 (55.873)
Epoch: [8][9000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.4643 (3.3128) Prec@1 28.906 (31.516) Prec@5 56.250 (55.876)
Epoch: [8][9200/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 2.9914 (3.3124) Prec@1 38.281 (31.521) Prec@5 62.500 (55.885)
Epoch: [8][9400/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 3.2682 (3.3126) Prec@1 28.906 (31.514) Prec@5 57.812 (55.881)
Epoch: [8][9600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.0952 (3.3124) Prec@1 34.375 (31.511) Prec@5 53.906 (55.886)
Epoch: [8][9800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.5988 (3.3122) Prec@1 30.469 (31.516) Prec@5 55.469 (55.892)
Epoch: [8][10000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.0361 (3.3123) Prec@1 33.594 (31.522) Prec@5 64.062 (55.892)
Test: [0/391] Time 4.988 (4.988) Loss 2.1093 (2.1093) Prec@1 57.031 (57.031) Prec@5 77.344 (77.344)
Test: [200/391] Time 0.156 (0.254) Loss 4.0892 (3.2607) Prec@1 13.281 (30.648) Prec@5 42.188 (58.162)
* Prec@1 28.052 Prec@5 53.548 Loss@ 3.529
==>>[2018-06-20 22:16:38] [Epoch=009/150] [Need: 160:14:25] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=30.49/56.00, Error=69.51/44.00]
Epoch: [9][0/10010] Time 4.241 (4.241) Data 4.068 (4.068) Loss 3.3231 (3.3231) Prec@1 35.156 (35.156) Prec@5 55.469 (55.469)
Epoch: [9][200/10010] Time 0.407 (0.419) Data 0.000 (0.023) Loss 3.0762 (3.2953) Prec@1 30.469 (31.367) Prec@5 64.844 (56.044)
Epoch: [9][400/10010] Time 0.394 (0.409) Data 0.001 (0.012) Loss 3.1287 (3.2809) Prec@1 39.062 (31.751) Prec@5 62.500 (56.392)
Epoch: [9][600/10010] Time 0.394 (0.405) Data 0.000 (0.008) Loss 3.2766 (3.2861) Prec@1 34.375 (31.682) Prec@5 55.469 (56.231)
Epoch: [9][800/10010] Time 0.396 (0.404) Data 0.000 (0.006) Loss 2.9492 (3.2824) Prec@1 37.500 (31.760) Prec@5 64.062 (56.315)
Epoch: [9][1000/10010] Time 0.395 (0.403) Data 0.000 (0.005) Loss 3.4350 (3.2821) Prec@1 26.562 (31.830) Prec@5 52.344 (56.370)
Epoch: [9][1200/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 3.8011 (3.2791) Prec@1 28.125 (31.914) Prec@5 50.781 (56.458)
Epoch: [9][1400/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 3.2083 (3.2784) Prec@1 32.031 (31.893) Prec@5 60.938 (56.403)
Epoch: [9][1600/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 3.4142 (3.2765) Prec@1 33.594 (31.899) Prec@5 56.250 (56.449)
Epoch: [9][1800/10010] Time 0.403 (0.401) Data 0.000 (0.003) Loss 3.4241 (3.2803) Prec@1 31.250 (31.873) Prec@5 57.812 (56.363)
Epoch: [9][2000/10010] Time 0.404 (0.401) Data 0.000 (0.003) Loss 3.4402 (3.2803) Prec@1 32.812 (31.839) Prec@5 55.469 (56.384)
Epoch: [9][2200/10010] Time 0.403 (0.401) Data 0.000 (0.003) Loss 3.5220 (3.2810) Prec@1 25.781 (31.831) Prec@5 52.344 (56.395)
Epoch: [9][2400/10010] Time 0.408 (0.401) Data 0.000 (0.002) Loss 3.4387 (3.2839) Prec@1 27.344 (31.803) Prec@5 50.000 (56.363)
Epoch: [9][2600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.2447 (3.2851) Prec@1 32.812 (31.782) Prec@5 57.812 (56.341)
Epoch: [9][2800/10010] Time 0.411 (0.400) Data 0.001 (0.002) Loss 3.2754 (3.2857) Prec@1 36.719 (31.813) Prec@5 60.156 (56.335)
Epoch: [9][3000/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 3.7479 (3.2864) Prec@1 28.906 (31.797) Prec@5 49.219 (56.328)
Epoch: [9][3200/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.0333 (3.2873) Prec@1 31.250 (31.794) Prec@5 60.938 (56.314)
Epoch: [9][3400/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 3.3738 (3.2886) Prec@1 33.594 (31.793) Prec@5 57.031 (56.305)
Epoch: [9][3600/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 3.3288 (3.2891) Prec@1 31.250 (31.785) Prec@5 60.938 (56.294)
Epoch: [9][3800/10010] Time 0.394 (0.400) Data 0.001 (0.002) Loss 3.2604 (3.2877) Prec@1 32.812 (31.809) Prec@5 59.375 (56.318)
Epoch: [9][4000/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.7487 (3.2881) Prec@1 27.344 (31.794) Prec@5 49.219 (56.307)
Epoch: [9][4200/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.2643 (3.2878) Prec@1 34.375 (31.792) Prec@5 60.938 (56.308)
Epoch: [9][4400/10010] Time 0.402 (0.400) Data 0.001 (0.002) Loss 3.6194 (3.2886) Prec@1 27.344 (31.783) Prec@5 54.688 (56.290)
Epoch: [9][4600/10010] Time 0.407 (0.400) Data 0.001 (0.001) Loss 3.3401 (3.2882) Prec@1 29.688 (31.802) Prec@5 53.125 (56.292)
Epoch: [9][4800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.5083 (3.2877) Prec@1 28.906 (31.811) Prec@5 50.781 (56.299)
Epoch: [9][5000/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.5017 (3.2889) Prec@1 32.031 (31.816) Prec@5 58.594 (56.281)
Epoch: [9][5200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.5197 (3.2888) Prec@1 25.781 (31.805) Prec@5 53.125 (56.279)
Epoch: [9][5400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.3159 (3.2891) Prec@1 30.469 (31.809) Prec@5 53.906 (56.275)
Epoch: [9][5600/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 3.2593 (3.2889) Prec@1 27.344 (31.821) Prec@5 58.594 (56.286)
Epoch: [9][5800/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.7178 (3.2886) Prec@1 26.562 (31.820) Prec@5 47.656 (56.303)
Epoch: [9][6000/10010] Time 0.391 (0.400) Data 0.000 (0.001) Loss 3.2911 (3.2887) Prec@1 32.031 (31.830) Prec@5 55.469 (56.298)
Epoch: [9][6200/10010] Time 0.394 (0.400) Data 0.001 (0.001) Loss 3.0052 (3.2888) Prec@1 37.500 (31.826) Prec@5 62.500 (56.302)
Epoch: [9][6400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.1895 (3.2880) Prec@1 29.688 (31.836) Prec@5 57.812 (56.322)
Epoch: [9][6600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.1237 (3.2883) Prec@1 30.469 (31.838) Prec@5 58.594 (56.318)
Epoch: [9][6800/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 3.1315 (3.2875) Prec@1 33.594 (31.852) Prec@5 56.250 (56.331)
Epoch: [9][7000/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 3.4037 (3.2877) Prec@1 32.812 (31.843) Prec@5 56.250 (56.325)
Epoch: [9][7200/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 3.0117 (3.2879) Prec@1 36.719 (31.836) Prec@5 57.812 (56.317)
Epoch: [9][7400/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 3.3136 (3.2876) Prec@1 29.688 (31.840) Prec@5 51.562 (56.323)
Epoch: [9][7600/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 3.3300 (3.2880) Prec@1 32.812 (31.829) Prec@5 61.719 (56.316)
Epoch: [9][7800/10010] Time 0.388 (0.399) Data 0.000 (0.001) Loss 2.9544 (3.2879) Prec@1 35.156 (31.831) Prec@5 59.375 (56.321)
Epoch: [9][8000/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.9820 (3.2874) Prec@1 35.938 (31.838) Prec@5 60.938 (56.321)
Epoch: [9][8200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.1605 (3.2867) Prec@1 32.031 (31.857) Prec@5 57.812 (56.325)
Epoch: [9][8400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.2520 (3.2865) Prec@1 28.125 (31.860) Prec@5 57.812 (56.328)
Epoch: [9][8600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.2025 (3.2863) Prec@1 30.469 (31.867) Prec@5 57.031 (56.323)
Epoch: [9][8800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.4641 (3.2871) Prec@1 29.688 (31.861) Prec@5 57.812 (56.314)
Epoch: [9][9000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.0856 (3.2871) Prec@1 32.812 (31.858) Prec@5 57.812 (56.314)
Epoch: [9][9200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.1188 (3.2873) Prec@1 35.938 (31.852) Prec@5 56.250 (56.310)
Epoch: [9][9400/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 3.5025 (3.2875) Prec@1 27.344 (31.844) Prec@5 54.688 (56.303)
Epoch: [9][9600/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.8660 (3.2875) Prec@1 40.625 (31.844) Prec@5 66.406 (56.308)
Epoch: [9][9800/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 3.5468 (3.2879) Prec@1 22.656 (31.838) Prec@5 53.125 (56.297)
Epoch: [9][10000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.4405 (3.2882) Prec@1 33.594 (31.842) Prec@5 50.781 (56.294)
Test: [0/391] Time 4.909 (4.909) Loss 2.1377 (2.1377) Prec@1 56.250 (56.250) Prec@5 79.688 (79.688)
Test: [200/391] Time 0.169 (0.255) Loss 3.5791 (2.8852) Prec@1 32.812 (36.023) Prec@5 54.688 (63.231)
* Prec@1 33.186 Prec@5 58.930 Loss@ 3.133
==>>[2018-06-20 23:24:50] [Epoch=010/150] [Need: 159:08:36] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=33.19/58.93, Error=66.81/41.07]
Epoch: [10][0/10010] Time 3.862 (3.862) Data 3.686 (3.686) Loss 3.0824 (3.0824) Prec@1 34.375 (34.375) Prec@5 58.594 (58.594)
Epoch: [10][200/10010] Time 0.398 (0.416) Data 0.001 (0.022) Loss 3.4523 (3.2816) Prec@1 34.375 (32.035) Prec@5 52.344 (56.709)
Epoch: [10][400/10010] Time 0.404 (0.407) Data 0.000 (0.011) Loss 3.2457 (3.2674) Prec@1 32.812 (32.162) Prec@5 58.594 (56.792)
Epoch: [10][600/10010] Time 0.397 (0.405) Data 0.000 (0.008) Loss 3.7086 (3.2587) Prec@1 24.219 (32.391) Prec@5 45.312 (57.004)
Epoch: [10][800/10010] Time 0.403 (0.403) Data 0.000 (0.006) Loss 3.3358 (3.2628) Prec@1 26.562 (32.214) Prec@5 53.125 (56.947)
Epoch: [10][1000/10010] Time 0.401 (0.402) Data 0.000 (0.005) Loss 3.0746 (3.2661) Prec@1 33.594 (32.165) Prec@5 58.594 (56.906)
Epoch: [10][1200/10010] Time 0.395 (0.402) Data 0.000 (0.004) Loss 3.7007 (3.2674) Prec@1 25.781 (32.139) Prec@5 54.688 (56.906)
Epoch: [10][1400/10010] Time 0.405 (0.401) Data 0.000 (0.004) Loss 3.5546 (3.2676) Prec@1 28.906 (32.117) Prec@5 50.781 (56.884)
Epoch: [10][1600/10010] Time 0.389 (0.401) Data 0.000 (0.003) Loss 3.1567 (3.2695) Prec@1 28.125 (32.113) Prec@5 58.594 (56.849)
Epoch: [10][1800/10010] Time 0.392 (0.401) Data 0.000 (0.003) Loss 3.0715 (3.2697) Prec@1 39.844 (32.101) Prec@5 63.281 (56.815)
Epoch: [10][2000/10010] Time 0.402 (0.401) Data 0.000 (0.003) Loss 2.9341 (3.2720) Prec@1 37.500 (32.039) Prec@5 59.375 (56.748)
Epoch: [10][2200/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.4813 (3.2738) Prec@1 29.688 (32.055) Prec@5 57.031 (56.720)
Epoch: [10][2400/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 3.2404 (3.2734) Prec@1 37.500 (32.061) Prec@5 57.812 (56.708)
Epoch: [10][2600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.6034 (3.2724) Prec@1 22.656 (32.075) Prec@5 46.875 (56.727)
Epoch: [10][2800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.8650 (3.2722) Prec@1 34.375 (32.064) Prec@5 65.625 (56.747)
Epoch: [10][3000/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.3399 (3.2737) Prec@1 32.812 (32.056) Prec@5 55.469 (56.715)
Epoch: [10][3200/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.8309 (3.2733) Prec@1 35.156 (32.063) Prec@5 64.844 (56.735)
Epoch: [10][3400/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 3.0935 (3.2742) Prec@1 27.344 (32.035) Prec@5 56.250 (56.701)
Epoch: [10][3600/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.5499 (3.2739) Prec@1 27.344 (32.021) Prec@5 50.000 (56.688)
Epoch: [10][3800/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 3.3046 (3.2737) Prec@1 31.250 (32.022) Prec@5 59.375 (56.698)
Epoch: [10][4000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.5106 (3.2740) Prec@1 27.344 (32.020) Prec@5 52.344 (56.686)
Epoch: [10][4200/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 3.5423 (3.2740) Prec@1 25.000 (32.022) Prec@5 50.000 (56.684)
Epoch: [10][4400/10010] Time 0.397 (0.400) Data 0.001 (0.002) Loss 2.7539 (3.2755) Prec@1 36.719 (31.999) Prec@5 68.750 (56.643)
Epoch: [10][4600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.8110 (3.2752) Prec@1 25.781 (32.027) Prec@5 46.875 (56.647)
Epoch: [10][4800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.9824 (3.2751) Prec@1 32.031 (32.009) Prec@5 63.281 (56.628)
Epoch: [10][5000/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 3.3697 (3.2751) Prec@1 27.344 (32.014) Prec@5 55.469 (56.629)
Epoch: [10][5200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.2133 (3.2748) Prec@1 32.031 (32.008) Prec@5 57.812 (56.637)
Epoch: [10][5400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 3.4526 (3.2755) Prec@1 31.250 (31.992) Prec@5 56.250 (56.626)
Epoch: [10][5600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.2833 (3.2752) Prec@1 26.562 (31.990) Prec@5 62.500 (56.641)
Epoch: [10][5800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.8363 (3.2748) Prec@1 35.156 (31.994) Prec@5 62.500 (56.631)
Epoch: [10][6000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.1796 (3.2741) Prec@1 32.812 (32.002) Prec@5 57.031 (56.637)
Epoch: [10][6200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.1288 (3.2739) Prec@1 33.594 (32.008) Prec@5 58.594 (56.634)
Epoch: [10][6400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.6968 (3.2738) Prec@1 32.031 (32.011) Prec@5 49.219 (56.629)
Epoch: [10][6600/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 3.3046 (3.2739) Prec@1 29.688 (32.023) Prec@5 55.469 (56.623)
Epoch: [10][6800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.9325 (3.2733) Prec@1 36.719 (32.021) Prec@5 60.156 (56.632)
Epoch: [10][7000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.9485 (3.2734) Prec@1 36.719 (32.020) Prec@5 61.719 (56.618)
Epoch: [10][7200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.2446 (3.2737) Prec@1 31.250 (32.019) Prec@5 56.250 (56.615)
Epoch: [10][7400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.5659 (3.2734) Prec@1 30.469 (32.033) Prec@5 48.438 (56.621)
Epoch: [10][7600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.3575 (3.2721) Prec@1 32.812 (32.044) Prec@5 56.250 (56.643)
Epoch: [10][7800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.0022 (3.2724) Prec@1 35.938 (32.048) Prec@5 60.156 (56.639)
Epoch: [10][8000/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 3.2219 (3.2731) Prec@1 26.562 (32.035) Prec@5 60.938 (56.631)
Epoch: [10][8200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.1158 (3.2730) Prec@1 25.781 (32.035) Prec@5 59.375 (56.633)
Epoch: [10][8400/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 3.3584 (3.2729) Prec@1 29.688 (32.039) Prec@5 59.375 (56.632)
Epoch: [10][8600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.9411 (3.2730) Prec@1 34.375 (32.035) Prec@5 62.500 (56.626)
Epoch: [10][8800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.3182 (3.2729) Prec@1 32.031 (32.033) Prec@5 59.375 (56.625)
Epoch: [10][9000/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 3.3819 (3.2730) Prec@1 32.812 (32.036) Prec@5 58.594 (56.625)
Epoch: [10][9200/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 3.4511 (3.2735) Prec@1 31.250 (32.030) Prec@5 51.562 (56.616)
Epoch: [10][9400/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 3.1651 (3.2737) Prec@1 34.375 (32.030) Prec@5 57.812 (56.611)
Epoch: [10][9600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.3137 (3.2736) Prec@1 30.469 (32.029) Prec@5 58.594 (56.610)
Epoch: [10][9800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.5460 (3.2733) Prec@1 32.031 (32.043) Prec@5 52.344 (56.613)
Epoch: [10][10000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 3.1035 (3.2732) Prec@1 33.594 (32.043) Prec@5 59.375 (56.618)
Test: [0/391] Time 4.250 (4.250) Loss 1.7302 (1.7302) Prec@1 59.375 (59.375) Prec@5 83.594 (83.594)
Test: [200/391] Time 0.141 (0.254) Loss 3.2992 (3.0386) Prec@1 34.375 (33.745) Prec@5 53.125 (60.953)
* Prec@1 30.326 Prec@5 55.610 Loss@ 3.337
==>>[2018-06-21 00:32:53] [Epoch=011/150] [Need: 157:39:00] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=33.19/58.93, Error=66.81/41.07]
Epoch: [11][0/10010] Time 4.967 (4.967) Data 4.806 (4.806) Loss 3.6368 (3.6368) Prec@1 27.344 (27.344) Prec@5 52.344 (52.344)
Epoch: [11][200/10010] Time 0.404 (0.421) Data 0.000 (0.027) Loss 3.0080 (3.2617) Prec@1 33.594 (32.043) Prec@5 60.938 (57.097)
Epoch: [11][400/10010] Time 0.395 (0.410) Data 0.000 (0.013) Loss 3.1484 (3.2511) Prec@1 25.781 (32.224) Prec@5 55.469 (57.103)
Epoch: [11][600/10010] Time 0.393 (0.406) Data 0.000 (0.009) Loss 3.2989 (3.2481) Prec@1 30.469 (32.421) Prec@5 55.469 (57.134)
Epoch: [11][800/10010] Time 0.397 (0.404) Data 0.000 (0.007) Loss 3.0890 (3.2415) Prec@1 32.031 (32.406) Prec@5 60.938 (57.203)
Epoch: [11][1000/10010] Time 0.406 (0.403) Data 0.000 (0.006) Loss 3.0800 (3.2405) Prec@1 30.469 (32.373) Prec@5 57.812 (57.256)
Epoch: [11][1200/10010] Time 0.399 (0.402) Data 0.000 (0.005) Loss 3.3166 (3.2481) Prec@1 32.812 (32.312) Prec@5 60.156 (57.105)
Epoch: [11][1400/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 3.2980 (3.2478) Prec@1 27.344 (32.320) Prec@5 54.688 (57.098)
Epoch: [11][1600/10010] Time 0.405 (0.402) Data 0.000 (0.004) Loss 3.6715 (3.2469) Prec@1 30.469 (32.412) Prec@5 53.125 (57.116)
Epoch: [11][1800/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 3.0392 (3.2481) Prec@1 38.281 (32.400) Prec@5 59.375 (57.095)
Epoch: [11][2000/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 3.2140 (3.2496) Prec@1 28.906 (32.333) Prec@5 55.469 (57.041)
Epoch: [11][2200/10010] Time 0.405 (0.401) Data 0.000 (0.003) Loss 3.1586 (3.2475) Prec@1 31.250 (32.361) Prec@5 57.812 (57.094)
Epoch: [11][2400/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 3.2344 (3.2470) Prec@1 40.625 (32.389) Prec@5 60.938 (57.100)
Epoch: [11][2600/10010] Time 0.394 (0.401) Data 0.000 (0.002) Loss 3.4002 (3.2471) Prec@1 28.906 (32.400) Prec@5 52.344 (57.075)
Epoch: [11][2800/10010] Time 0.405 (0.400) Data 0.001 (0.002) Loss 3.3952 (3.2488) Prec@1 25.781 (32.365) Prec@5 50.781 (57.070)
Epoch: [11][3000/10010] Time 0.390 (0.400) Data 0.001 (0.002) Loss 2.9826 (3.2508) Prec@1 37.500 (32.339) Prec@5 63.281 (57.021)
Epoch: [11][3200/10010] Time 0.391 (0.400) Data 0.000 (0.002) Loss 3.0511 (3.2508) Prec@1 36.719 (32.334) Prec@5 59.375 (57.029)
Epoch: [11][3400/10010] Time 0.414 (0.400) Data 0.000 (0.002) Loss 3.2762 (3.2506) Prec@1 25.000 (32.328) Prec@5 58.594 (57.026)
Epoch: [11][3600/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 3.0797 (3.2503) Prec@1 34.375 (32.344) Prec@5 58.594 (57.033)
Epoch: [11][3800/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 3.0673 (3.2501) Prec@1 34.375 (32.367) Prec@5 57.031 (57.045)
Epoch: [11][4000/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 3.2260 (3.2503) Prec@1 30.469 (32.353) Prec@5 50.000 (57.027)
Epoch: [11][4200/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.9516 (3.2502) Prec@1 34.375 (32.353) Prec@5 59.375 (57.020)
Epoch: [11][4400/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.6148 (3.2513) Prec@1 29.688 (32.335) Prec@5 46.875 (57.009)
Epoch: [11][4600/10010] Time 0.408 (0.400) Data 0.000 (0.002) Loss 3.1150 (3.2516) Prec@1 32.031 (32.346) Prec@5 57.812 (56.998)
Epoch: [11][4800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.6828 (3.2514) Prec@1 22.656 (32.365) Prec@5 50.000 (57.006)
Epoch: [11][5000/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 2.8722 (3.2530) Prec@1 39.062 (32.355) Prec@5 64.844 (56.972)
Epoch: [11][5200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.1396 (3.2532) Prec@1 35.156 (32.351) Prec@5 57.031 (56.977)
Epoch: [11][5400/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 3.2730 (3.2527) Prec@1 34.375 (32.362) Prec@5 56.250 (56.978)
Epoch: [11][5600/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.2846 (3.2523) Prec@1 28.906 (32.361) Prec@5 52.344 (56.983)
Epoch: [11][5800/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 2.9832 (3.2521) Prec@1 34.375 (32.353) Prec@5 59.375 (56.981)
Epoch: [11][6000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.4211 (3.2528) Prec@1 30.469 (32.337) Prec@5 53.906 (56.975)
Epoch: [11][6200/10010] Time 0.404 (0.400) Data 0.001 (0.001) Loss 3.1470 (3.2526) Prec@1 37.500 (32.342) Prec@5 61.719 (56.985)
Epoch: [11][6400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.2860 (3.2527) Prec@1 28.906 (32.341) Prec@5 50.000 (56.969)
Epoch: [11][6600/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 3.0187 (3.2533) Prec@1 32.812 (32.320) Prec@5 57.031 (56.964)
Epoch: [11][6800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.2420 (3.2538) Prec@1 32.031 (32.317) Prec@5 56.250 (56.958)
Epoch: [11][7000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.4695 (3.2541) Prec@1 32.031 (32.308) Prec@5 56.250 (56.950)
Epoch: [11][7200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.1979 (3.2542) Prec@1 29.688 (32.312) Prec@5 59.375 (56.947)
Epoch: [11][7400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.1438 (3.2541) Prec@1 37.500 (32.314) Prec@5 62.500 (56.951)
Epoch: [11][7600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.2354 (3.2549) Prec@1 28.906 (32.305) Prec@5 57.031 (56.938)
Epoch: [11][7800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.3716 (3.2558) Prec@1 30.469 (32.299) Prec@5 53.125 (56.919)
Epoch: [11][8000/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 3.2751 (3.2555) Prec@1 32.031 (32.308) Prec@5 53.125 (56.922)
Epoch: [11][8200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.7759 (3.2564) Prec@1 25.781 (32.297) Prec@5 50.781 (56.908)
Epoch: [11][8400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.2154 (3.2563) Prec@1 32.031 (32.285) Prec@5 57.812 (56.914)
Epoch: [11][8600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.2657 (3.2567) Prec@1 28.125 (32.287) Prec@5 51.562 (56.904)
Epoch: [11][8800/10010] Time 0.410 (0.399) Data 0.000 (0.001) Loss 3.2819 (3.2562) Prec@1 38.281 (32.291) Prec@5 57.812 (56.909)
Epoch: [11][9000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.1540 (3.2565) Prec@1 34.375 (32.283) Prec@5 58.594 (56.903)
Epoch: [11][9200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.9114 (3.2565) Prec@1 20.312 (32.277) Prec@5 44.531 (56.904)
Epoch: [11][9400/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 3.0762 (3.2565) Prec@1 32.812 (32.285) Prec@5 62.500 (56.908)
Epoch: [11][9600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.2486 (3.2564) Prec@1 38.281 (32.281) Prec@5 56.250 (56.917)
Epoch: [11][9800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.8970 (3.2562) Prec@1 39.844 (32.289) Prec@5 64.062 (56.917)
Epoch: [11][10000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.4031 (3.2556) Prec@1 32.031 (32.306) Prec@5 55.469 (56.931)
Test: [0/391] Time 4.995 (4.995) Loss 1.8527 (1.8527) Prec@1 53.125 (53.125) Prec@5 81.250 (81.250)
Test: [200/391] Time 0.172 (0.247) Loss 3.9293 (2.9843) Prec@1 14.844 (34.410) Prec@5 43.750 (62.356)
* Prec@1 31.462 Prec@5 57.698 Loss@ 3.229
==>>[2018-06-21 01:41:02] [Epoch=012/150] [Need: 156:44:10] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=33.19/58.93, Error=66.81/41.07]
Epoch: [12][0/10010] Time 3.975 (3.975) Data 3.795 (3.795) Loss 3.4127 (3.4127) Prec@1 24.219 (24.219) Prec@5 54.688 (54.688)
Epoch: [12][200/10010] Time 0.398 (0.416) Data 0.000 (0.022) Loss 3.4396 (3.2638) Prec@1 32.812 (32.245) Prec@5 53.125 (56.643)
Epoch: [12][400/10010] Time 0.396 (0.408) Data 0.000 (0.011) Loss 2.9835 (3.2558) Prec@1 30.469 (32.427) Prec@5 60.156 (56.949)
Epoch: [12][600/10010] Time 0.405 (0.405) Data 0.000 (0.008) Loss 2.7314 (3.2422) Prec@1 42.969 (32.632) Prec@5 68.750 (57.347)
Epoch: [12][800/10010] Time 0.397 (0.403) Data 0.000 (0.006) Loss 2.9957 (3.2395) Prec@1 33.594 (32.746) Prec@5 64.062 (57.352)
Epoch: [12][1000/10010] Time 0.399 (0.402) Data 0.000 (0.005) Loss 3.3492 (3.2397) Prec@1 33.594 (32.771) Prec@5 57.812 (57.292)
Epoch: [12][1200/10010] Time 0.395 (0.402) Data 0.000 (0.004) Loss 3.2353 (3.2420) Prec@1 32.812 (32.711) Prec@5 54.688 (57.206)
Epoch: [12][1400/10010] Time 0.403 (0.401) Data 0.000 (0.004) Loss 3.0915 (3.2441) Prec@1 38.281 (32.668) Prec@5 65.625 (57.169)
Epoch: [12][1600/10010] Time 0.393 (0.401) Data 0.000 (0.003) Loss 3.0404 (3.2466) Prec@1 35.938 (32.596) Prec@5 59.375 (57.107)
Epoch: [12][1800/10010] Time 0.403 (0.401) Data 0.000 (0.003) Loss 3.1029 (3.2442) Prec@1 32.812 (32.628) Prec@5 62.500 (57.152)
Epoch: [12][2000/10010] Time 0.391 (0.401) Data 0.000 (0.003) Loss 3.2165 (3.2463) Prec@1 25.781 (32.595) Prec@5 56.250 (57.143)
Epoch: [12][2200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.9407 (3.2461) Prec@1 39.844 (32.602) Prec@5 64.062 (57.151)
Epoch: [12][2400/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.2410 (3.2464) Prec@1 34.375 (32.579) Prec@5 57.031 (57.168)
Epoch: [12][2600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.2257 (3.2484) Prec@1 28.906 (32.534) Prec@5 62.500 (57.131)
Epoch: [12][2800/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.2616 (3.2476) Prec@1 33.594 (32.548) Prec@5 58.594 (57.112)
Epoch: [12][3000/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.2868 (3.2473) Prec@1 32.031 (32.546) Prec@5 59.375 (57.130)
Epoch: [12][3200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.2133 (3.2462) Prec@1 28.906 (32.576) Prec@5 60.938 (57.161)
Epoch: [12][3400/10010] Time 0.394 (0.400) Data 0.001 (0.002) Loss 3.5174 (3.2476) Prec@1 25.000 (32.569) Prec@5 50.781 (57.135)
Epoch: [12][3600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.2495 (3.2474) Prec@1 34.375 (32.581) Prec@5 54.688 (57.155)
Epoch: [12][3800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.1452 (3.2480) Prec@1 31.250 (32.564) Prec@5 59.375 (57.144)
Epoch: [12][4000/10010] Time 0.391 (0.400) Data 0.000 (0.002) Loss 3.3163 (3.2475) Prec@1 30.469 (32.568) Prec@5 57.031 (57.141)
Epoch: [12][4200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.0517 (3.2469) Prec@1 31.250 (32.566) Prec@5 58.594 (57.146)
Epoch: [12][4400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.1020 (3.2471) Prec@1 29.688 (32.550) Prec@5 60.156 (57.150)
Epoch: [12][4600/10010] Time 0.403 (0.400) Data 0.001 (0.001) Loss 3.1512 (3.2466) Prec@1 36.719 (32.550) Prec@5 55.469 (57.152)
Epoch: [12][4800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.3736 (3.2456) Prec@1 28.906 (32.570) Prec@5 53.125 (57.160)
Epoch: [12][5000/10010] Time 0.416 (0.399) Data 0.000 (0.001) Loss 3.1725 (3.2450) Prec@1 36.719 (32.580) Prec@5 60.156 (57.165)
Epoch: [12][5200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.8514 (3.2447) Prec@1 40.625 (32.588) Prec@5 59.375 (57.161)
Epoch: [12][5400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.3810 (3.2450) Prec@1 27.344 (32.572) Prec@5 56.250 (57.153)
Epoch: [12][5600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.1508 (3.2443) Prec@1 32.031 (32.583) Prec@5 56.250 (57.166)
Epoch: [12][5800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.3130 (3.2441) Prec@1 32.812 (32.584) Prec@5 55.469 (57.172)
Epoch: [12][6000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.3493 (3.2441) Prec@1 28.125 (32.584) Prec@5 59.375 (57.169)
Epoch: [12][6200/10010] Time 0.414 (0.399) Data 0.000 (0.001) Loss 3.1129 (3.2438) Prec@1 35.156 (32.593) Prec@5 60.938 (57.172)
Epoch: [12][6400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.0075 (3.2433) Prec@1 35.938 (32.592) Prec@5 58.594 (57.172)
Epoch: [12][6600/10010] Time 0.392 (0.399) Data 0.001 (0.001) Loss 2.7155 (3.2427) Prec@1 39.062 (32.586) Prec@5 67.188 (57.187)
Epoch: [12][6800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.1628 (3.2421) Prec@1 32.031 (32.587) Prec@5 60.938 (57.201)
Epoch: [12][7000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.4701 (3.2429) Prec@1 29.688 (32.582) Prec@5 54.688 (57.186)
Epoch: [12][7200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.3690 (3.2426) Prec@1 32.031 (32.588) Prec@5 58.594 (57.199)
Epoch: [12][7400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.3982 (3.2425) Prec@1 32.031 (32.590) Prec@5 54.688 (57.198)
Epoch: [12][7600/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 3.3219 (3.2430) Prec@1 35.156 (32.588) Prec@5 61.719 (57.181)
Epoch: [12][7800/10010] Time 0.411 (0.399) Data 0.000 (0.001) Loss 3.5425 (3.2433) Prec@1 26.562 (32.581) Prec@5 46.875 (57.180)
Epoch: [12][8000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.2131 (3.2431) Prec@1 32.812 (32.582) Prec@5 59.375 (57.180)
Epoch: [12][8200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.1226 (3.2425) Prec@1 32.031 (32.587) Prec@5 53.906 (57.195)
Epoch: [12][8400/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 3.3090 (3.2432) Prec@1 32.812 (32.584) Prec@5 55.469 (57.176)
Epoch: [12][8600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 3.2312 (3.2434) Prec@1 31.250 (32.587) Prec@5 55.469 (57.174)
Epoch: [12][8800/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 3.1423 (3.2437) Prec@1 35.938 (32.585) Prec@5 56.250 (57.160)
Epoch: [12][9000/10010] Time 0.409 (0.399) Data 0.000 (0.001) Loss 3.4406 (3.2435) Prec@1 35.156 (32.593) Prec@5 52.344 (57.157)
Epoch: [12][9200/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 3.1863 (3.2439) Prec@1 30.469 (32.582) Prec@5 59.375 (57.149)
Epoch: [12][9400/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 3.1128 (3.2439) Prec@1 35.938 (32.588) Prec@5 59.375 (57.153)
Epoch: [12][9600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.4607 (3.2436) Prec@1 30.469 (32.597) Prec@5 53.906 (57.153)
Epoch: [12][9800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.8601 (3.2441) Prec@1 36.719 (32.592) Prec@5 57.812 (57.147)
Epoch: [12][10000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.4305 (3.2442) Prec@1 30.469 (32.587) Prec@5 53.125 (57.149)
Test: [0/391] Time 5.949 (5.949) Loss 2.3734 (2.3734) Prec@1 50.000 (50.000) Prec@5 75.000 (75.000)
Test: [200/391] Time 0.150 (0.253) Loss 3.2624 (2.9421) Prec@1 30.469 (35.366) Prec@5 60.938 (62.955)
* Prec@1 32.892 Prec@5 58.940 Loss@ 3.138
==>>[2018-06-21 02:49:11] [Epoch=013/150] [Need: 155:35:20] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=33.19/58.94, Error=66.81/41.06]
Epoch: [13][0/10010] Time 4.065 (4.065) Data 3.905 (3.905) Loss 3.5034 (3.5034) Prec@1 28.125 (28.125) Prec@5 57.031 (57.031)
Epoch: [13][200/10010] Time 0.392 (0.417) Data 0.000 (0.022) Loss 3.2663 (3.2304) Prec@1 32.812 (32.362) Prec@5 53.906 (57.179)
Epoch: [13][400/10010] Time 0.396 (0.408) Data 0.000 (0.011) Loss 2.9531 (3.2093) Prec@1 30.469 (32.830) Prec@5 63.281 (57.670)
Epoch: [13][600/10010] Time 0.394 (0.405) Data 0.000 (0.008) Loss 3.2711 (3.2109) Prec@1 32.031 (32.954) Prec@5 55.469 (57.632)
Epoch: [13][800/10010] Time 0.408 (0.403) Data 0.000 (0.006) Loss 3.5554 (3.2179) Prec@1 32.031 (32.877) Prec@5 51.562 (57.511)
Epoch: [13][1000/10010] Time 0.400 (0.402) Data 0.000 (0.005) Loss 3.3269 (3.2192) Prec@1 31.250 (32.926) Prec@5 53.906 (57.538)
Epoch: [13][1200/10010] Time 0.398 (0.402) Data 0.000 (0.004) Loss 3.1978 (3.2210) Prec@1 35.156 (32.914) Prec@5 57.031 (57.500)
Epoch: [13][1400/10010] Time 0.399 (0.401) Data 0.000 (0.004) Loss 2.9877 (3.2194) Prec@1 32.031 (32.949) Prec@5 57.812 (57.498)
Epoch: [13][1600/10010] Time 0.401 (0.401) Data 0.000 (0.003) Loss 3.3867 (3.2198) Prec@1 30.469 (32.894) Prec@5 57.812 (57.473)
Epoch: [13][1800/10010] Time 0.403 (0.401) Data 0.000 (0.003) Loss 3.1229 (3.2226) Prec@1 35.156 (32.829) Prec@5 60.156 (57.429)
Epoch: [13][2000/10010] Time 0.403 (0.400) Data 0.000 (0.003) Loss 3.3974 (3.2253) Prec@1 27.344 (32.774) Prec@5 52.344 (57.381)
Epoch: [13][2200/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.3170 (3.2273) Prec@1 31.250 (32.749) Prec@5 58.594 (57.370)
Epoch: [13][2400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.3759 (3.2272) Prec@1 29.688 (32.757) Prec@5 57.031 (57.352)
Epoch: [13][2600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.1793 (3.2270) Prec@1 34.375 (32.745) Prec@5 58.594 (57.380)
Epoch: [13][2800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.8662 (3.2284) Prec@1 39.844 (32.752) Prec@5 64.844 (57.362)
Epoch: [13][3000/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 3.0326 (3.2277) Prec@1 35.156 (32.756) Prec@5 64.062 (57.388)
Epoch: [13][3200/10010] Time 0.404 (0.400) Data 0.001 (0.002) Loss 3.1252 (3.2297) Prec@1 34.375 (32.727) Prec@5 60.156 (57.357)
Epoch: [13][3400/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.1393 (3.2314) Prec@1 35.938 (32.702) Prec@5 64.062 (57.328)
Epoch: [13][3600/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 3.2178 (3.2327) Prec@1 31.250 (32.693) Prec@5 53.125 (57.299)
Epoch: [13][3800/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.3355 (3.2317) Prec@1 32.031 (32.695) Prec@5 58.594 (57.308)
Epoch: [13][4000/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 3.2701 (3.2326) Prec@1 32.031 (32.700) Prec@5 55.469 (57.311)
Epoch: [13][4200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.1698 (3.2313) Prec@1 30.469 (32.717) Prec@5 57.812 (57.312)
Epoch: [13][4400/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 3.2208 (3.2318) Prec@1 31.250 (32.729) Prec@5 53.906 (57.300)
Epoch: [13][4600/10010] Time 0.402 (0.400) Data 0.001 (0.001) Loss 3.2659 (3.2312) Prec@1 32.812 (32.744) Prec@5 57.812 (57.329)
Epoch: [13][4800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.5274 (3.2312) Prec@1 28.906 (32.722) Prec@5 53.125 (57.334)
Epoch: [13][5000/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 2.9679 (3.2318) Prec@1 36.719 (32.726) Prec@5 60.156 (57.326)
Epoch: [13][5200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.1759 (3.2317) Prec@1 31.250 (32.728) Prec@5 61.719 (57.329)
Epoch: [13][5400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.3114 (3.2311) Prec@1 34.375 (32.742) Prec@5 55.469 (57.337)
Epoch: [13][5600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.2176 (3.2309) Prec@1 35.156 (32.761) Prec@5 57.812 (57.336)
Epoch: [13][5800/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 2.6853 (3.2313) Prec@1 35.156 (32.742) Prec@5 67.188 (57.336)
Epoch: [13][6000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.4318 (3.2315) Prec@1 27.344 (32.738) Prec@5 53.906 (57.331)
Epoch: [13][6200/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 3.4490 (3.2320) Prec@1 27.344 (32.734) Prec@5 51.562 (57.334)
Epoch: [13][6400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.6029 (3.2323) Prec@1 35.938 (32.733) Prec@5 53.906 (57.337)
Epoch: [13][6600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.0913 (3.2327) Prec@1 35.938 (32.734) Prec@5 60.156 (57.338)
Epoch: [13][6800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.3686 (3.2331) Prec@1 32.031 (32.725) Prec@5 57.812 (57.330)
Epoch: [13][7000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.2000 (3.2329) Prec@1 33.594 (32.736) Prec@5 57.031 (57.329)
Epoch: [13][7200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.9328 (3.2320) Prec@1 37.500 (32.748) Prec@5 64.062 (57.352)
Epoch: [13][7400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.1468 (3.2321) Prec@1 31.250 (32.738) Prec@5 59.375 (57.345)
Epoch: [13][7600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.1804 (3.2325) Prec@1 34.375 (32.734) Prec@5 57.031 (57.334)
Epoch: [13][7800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.5148 (3.2335) Prec@1 29.688 (32.712) Prec@5 50.000 (57.320)
Epoch: [13][8000/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 3.1516 (3.2331) Prec@1 32.031 (32.718) Prec@5 58.594 (57.323)
Epoch: [13][8200/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 3.3295 (3.2324) Prec@1 28.906 (32.727) Prec@5 52.344 (57.334)
Epoch: [13][8400/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 3.1505 (3.2326) Prec@1 35.938 (32.729) Prec@5 57.812 (57.330)
Epoch: [13][8600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.3223 (3.2328) Prec@1 33.594 (32.726) Prec@5 55.469 (57.331)
Epoch: [13][8800/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 2.9236 (3.2325) Prec@1 36.719 (32.736) Prec@5 63.281 (57.335)
Epoch: [13][9000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.4237 (3.2325) Prec@1 30.469 (32.740) Prec@5 57.812 (57.337)
Epoch: [13][9200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.0896 (3.2326) Prec@1 36.719 (32.734) Prec@5 60.938 (57.332)
Epoch: [13][9400/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 3.4088 (3.2326) Prec@1 32.031 (32.735) Prec@5 48.438 (57.329)
Epoch: [13][9600/10010] Time 0.400 (0.399) Data 0.017 (0.001) Loss 3.4236 (3.2330) Prec@1 32.031 (32.736) Prec@5 58.594 (57.324)
Epoch: [13][9800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.3769 (3.2331) Prec@1 33.594 (32.727) Prec@5 52.344 (57.325)
Epoch: [13][10000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.4566 (3.2336) Prec@1 25.781 (32.718) Prec@5 52.344 (57.319)
Test: [0/391] Time 5.906 (5.906) Loss 2.2892 (2.2892) Prec@1 47.656 (47.656) Prec@5 78.906 (78.906)
Test: [200/391] Time 0.141 (0.250) Loss 4.0848 (3.0951) Prec@1 14.062 (32.754) Prec@5 43.750 (60.145)
* Prec@1 30.414 Prec@5 56.020 Loss@ 3.327
==>>[2018-06-21 03:57:18] [Epoch=014/150] [Need: 154:25:02] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=33.19/58.94, Error=66.81/41.06]
Epoch: [14][0/10010] Time 4.868 (4.868) Data 4.709 (4.709) Loss 3.0976 (3.0976) Prec@1 37.500 (37.500) Prec@5 59.375 (59.375)
Epoch: [14][200/10010] Time 0.402 (0.421) Data 0.000 (0.025) Loss 3.1218 (3.2495) Prec@1 32.812 (32.307) Prec@5 57.031 (56.623)
Epoch: [14][400/10010] Time 0.404 (0.410) Data 0.000 (0.013) Loss 3.2402 (3.2351) Prec@1 28.125 (32.390) Prec@5 56.250 (57.099)
Epoch: [14][600/10010] Time 0.393 (0.406) Data 0.000 (0.009) Loss 3.1651 (3.2241) Prec@1 30.469 (32.646) Prec@5 57.812 (57.425)
Epoch: [14][800/10010] Time 0.398 (0.404) Data 0.000 (0.007) Loss 3.5184 (3.2206) Prec@1 24.219 (32.739) Prec@5 53.906 (57.563)
Epoch: [14][1000/10010] Time 0.398 (0.403) Data 0.000 (0.005) Loss 2.9835 (3.2141) Prec@1 41.406 (32.787) Prec@5 60.938 (57.610)
Epoch: [14][1200/10010] Time 0.399 (0.402) Data 0.000 (0.005) Loss 2.9342 (3.2174) Prec@1 41.406 (32.779) Prec@5 57.812 (57.532)
Epoch: [14][1400/10010] Time 0.396 (0.402) Data 0.000 (0.004) Loss 3.0382 (3.2165) Prec@1 33.594 (32.766) Prec@5 59.375 (57.555)
Epoch: [14][1600/10010] Time 0.398 (0.401) Data 0.000 (0.004) Loss 3.0518 (3.2165) Prec@1 35.156 (32.826) Prec@5 61.719 (57.556)
Epoch: [14][1800/10010] Time 0.392 (0.401) Data 0.000 (0.003) Loss 3.6544 (3.2156) Prec@1 24.219 (32.849) Prec@5 50.000 (57.556)
Epoch: [14][2000/10010] Time 0.392 (0.401) Data 0.001 (0.003) Loss 3.2807 (3.2127) Prec@1 29.688 (32.862) Prec@5 49.219 (57.624)
Epoch: [14][2200/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 2.9890 (3.2154) Prec@1 37.500 (32.817) Prec@5 62.500 (57.594)
Epoch: [14][2400/10010] Time 0.399 (0.400) Data 0.000 (0.003) Loss 3.5275 (3.2156) Prec@1 30.469 (32.812) Prec@5 53.906 (57.592)
Epoch: [14][2600/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 3.4153 (3.2183) Prec@1 27.344 (32.765) Prec@5 53.906 (57.531)
Epoch: [14][2800/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 2.9844 (3.2205) Prec@1 37.500 (32.723) Prec@5 57.812 (57.514)
Epoch: [14][3000/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.2353 (3.2205) Prec@1 30.469 (32.717) Prec@5 59.375 (57.504)
Epoch: [14][3200/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 3.2553 (3.2205) Prec@1 32.812 (32.737) Prec@5 57.812 (57.494)
Epoch: [14][3400/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 3.2051 (3.2193) Prec@1 29.688 (32.763) Prec@5 56.250 (57.535)
Epoch: [14][3600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.2079 (3.2204) Prec@1 35.156 (32.747) Prec@5 52.344 (57.507)
Epoch: [14][3800/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 3.1585 (3.2216) Prec@1 33.594 (32.720) Prec@5 57.812 (57.497)
Epoch: [14][4000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.3295 (3.2223) Prec@1 31.250 (32.735) Prec@5 57.812 (57.490)
Epoch: [14][4200/10010] Time 0.391 (0.400) Data 0.000 (0.002) Loss 3.1276 (3.2218) Prec@1 32.812 (32.747) Prec@5 62.500 (57.513)
Epoch: [14][4400/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 3.4314 (3.2234) Prec@1 28.906 (32.735) Prec@5 52.344 (57.468)
Epoch: [14][4600/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 3.1949 (3.2220) Prec@1 30.469 (32.751) Prec@5 58.594 (57.494)
Epoch: [14][4800/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.1821 (3.2216) Prec@1 32.031 (32.756) Prec@5 59.375 (57.498)
Epoch: [14][5000/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.0863 (3.2221) Prec@1 40.625 (32.759) Prec@5 61.719 (57.495)
Epoch: [14][5200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.2565 (3.2230) Prec@1 38.281 (32.753) Prec@5 57.812 (57.475)
Epoch: [14][5400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.0201 (3.2221) Prec@1 38.281 (32.766) Prec@5 60.938 (57.497)
Epoch: [14][5600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.4071 (3.2227) Prec@1 31.250 (32.767) Prec@5 54.688 (57.498)
Epoch: [14][5800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.1421 (3.2231) Prec@1 35.156 (32.760) Prec@5 60.938 (57.491)
Epoch: [14][6000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.9687 (3.2221) Prec@1 36.719 (32.776) Prec@5 60.938 (57.511)
Epoch: [14][6200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.3006 (3.2217) Prec@1 33.594 (32.779) Prec@5 53.125 (57.507)
Epoch: [14][6400/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 3.0903 (3.2215) Prec@1 36.719 (32.792) Prec@5 60.938 (57.516)
Epoch: [14][6600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.1843 (3.2215) Prec@1 32.812 (32.811) Prec@5 64.844 (57.517)
Epoch: [14][6800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.3335 (3.2213) Prec@1 27.344 (32.813) Prec@5 53.125 (57.521)
Epoch: [14][7000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.1926 (3.2222) Prec@1 32.031 (32.802) Prec@5 58.594 (57.510)
Epoch: [14][7200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.4284 (3.2226) Prec@1 27.344 (32.795) Prec@5 56.250 (57.505)
Epoch: [14][7400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.2693 (3.2235) Prec@1 31.250 (32.779) Prec@5 57.812 (57.487)
Epoch: [14][7600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.4561 (3.2233) Prec@1 25.781 (32.782) Prec@5 51.562 (57.497)
Epoch: [14][7800/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.7668 (3.2232) Prec@1 40.625 (32.776) Prec@5 68.750 (57.499)
Epoch: [14][8000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.5868 (3.2240) Prec@1 29.688 (32.768) Prec@5 54.688 (57.487)
Epoch: [14][8200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.4905 (3.2241) Prec@1 27.344 (32.769) Prec@5 59.375 (57.484)
Epoch: [14][8400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.6192 (3.2243) Prec@1 44.531 (32.763) Prec@5 68.750 (57.479)
Epoch: [14][8600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.3497 (3.2247) Prec@1 36.719 (32.765) Prec@5 55.469 (57.472)
Epoch: [14][8800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.4621 (3.2253) Prec@1 33.594 (32.756) Prec@5 54.688 (57.461)
Epoch: [14][9000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.0125 (3.2255) Prec@1 27.344 (32.753) Prec@5 62.500 (57.456)
Epoch: [14][9200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.2858 (3.2254) Prec@1 39.844 (32.762) Prec@5 58.594 (57.458)
Epoch: [14][9400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.0901 (3.2255) Prec@1 32.812 (32.760) Prec@5 63.281 (57.451)
Epoch: [14][9600/10010] Time 0.409 (0.399) Data 0.000 (0.001) Loss 3.7912 (3.2253) Prec@1 26.562 (32.765) Prec@5 49.219 (57.457)
Epoch: [14][9800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.0813 (3.2251) Prec@1 32.812 (32.765) Prec@5 57.031 (57.461)
Epoch: [14][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.5028 (3.2254) Prec@1 29.688 (32.769) Prec@5 51.562 (57.452)
Test: [0/391] Time 4.726 (4.726) Loss 2.4481 (2.4481) Prec@1 46.094 (46.094) Prec@5 75.000 (75.000)
Test: [200/391] Time 0.141 (0.239) Loss 4.2939 (3.0344) Prec@1 20.312 (33.722) Prec@5 35.938 (61.155)
* Prec@1 32.040 Prec@5 57.680 Loss@ 3.205
==>>[2018-06-21 05:05:25] [Epoch=015/150] [Need: 153:15:49] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=33.19/58.94, Error=66.81/41.06]
Epoch: [15][0/10010] Time 4.105 (4.105) Data 3.937 (3.937) Loss 3.2334 (3.2334) Prec@1 36.719 (36.719) Prec@5 56.250 (56.250)
Epoch: [15][200/10010] Time 0.400 (0.418) Data 0.000 (0.023) Loss 3.4280 (3.2379) Prec@1 26.562 (32.774) Prec@5 57.812 (57.175)
Epoch: [15][400/10010] Time 0.407 (0.408) Data 0.000 (0.012) Loss 2.7408 (3.2137) Prec@1 39.062 (33.095) Prec@5 67.188 (57.801)
Epoch: [15][600/10010] Time 0.402 (0.405) Data 0.000 (0.008) Loss 3.0444 (3.2109) Prec@1 37.500 (33.119) Prec@5 64.062 (57.868)
Epoch: [15][800/10010] Time 0.396 (0.403) Data 0.000 (0.006) Loss 3.3704 (3.2110) Prec@1 31.250 (33.068) Prec@5 53.125 (57.808)
Epoch: [15][1000/10010] Time 0.398 (0.402) Data 0.000 (0.005) Loss 3.1628 (3.2096) Prec@1 36.719 (33.146) Prec@5 57.812 (57.787)
Epoch: [15][1200/10010] Time 0.404 (0.402) Data 0.000 (0.004) Loss 3.2963 (3.2053) Prec@1 35.156 (33.254) Prec@5 54.688 (57.852)
Epoch: [15][1400/10010] Time 0.396 (0.401) Data 0.000 (0.004) Loss 2.9077 (3.2057) Prec@1 36.719 (33.230) Prec@5 66.406 (57.836)
Epoch: [15][1600/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 3.7050 (3.2057) Prec@1 22.656 (33.183) Prec@5 49.219 (57.833)
Epoch: [15][1800/10010] Time 0.401 (0.401) Data 0.000 (0.003) Loss 3.8214 (3.2078) Prec@1 26.562 (33.175) Prec@5 46.875 (57.809)
Epoch: [15][2000/10010] Time 0.394 (0.400) Data 0.000 (0.003) Loss 3.5064 (3.2074) Prec@1 29.688 (33.160) Prec@5 51.562 (57.829)
Epoch: [15][2200/10010] Time 0.397 (0.400) Data 0.000 (0.003) Loss 2.9730 (3.2073) Prec@1 38.281 (33.150) Prec@5 59.375 (57.798)
Epoch: [15][2400/10010] Time 0.396 (0.400) Data 0.001 (0.002) Loss 3.1584 (3.2084) Prec@1 36.719 (33.157) Prec@5 63.281 (57.766)
Epoch: [15][2600/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.0704 (3.2110) Prec@1 33.594 (33.115) Prec@5 64.844 (57.743)
Epoch: [15][2800/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.9683 (3.2117) Prec@1 36.719 (33.116) Prec@5 64.844 (57.732)
Epoch: [15][3000/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 3.4571 (3.2114) Prec@1 28.125 (33.118) Prec@5 53.906 (57.744)
Epoch: [15][3200/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 3.3924 (3.2111) Prec@1 34.375 (33.109) Prec@5 53.125 (57.750)
Epoch: [15][3400/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 3.2242 (3.2106) Prec@1 33.594 (33.107) Prec@5 56.250 (57.753)
Epoch: [15][3600/10010] Time 0.393 (0.400) Data 0.001 (0.002) Loss 3.0445 (3.2111) Prec@1 34.375 (33.102) Prec@5 60.156 (57.745)
Epoch: [15][3800/10010] Time 0.397 (0.400) Data 0.001 (0.002) Loss 3.0703 (3.2130) Prec@1 40.625 (33.065) Prec@5 60.156 (57.714)
Epoch: [15][4000/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 3.2910 (3.2137) Prec@1 35.938 (33.060) Prec@5 50.000 (57.709)
Epoch: [15][4200/10010] Time 0.409 (0.400) Data 0.000 (0.002) Loss 3.1644 (3.2135) Prec@1 31.250 (33.052) Prec@5 53.906 (57.699)
Epoch: [15][4400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.1382 (3.2135) Prec@1 33.594 (33.051) Prec@5 61.719 (57.704)
Epoch: [15][4600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.9544 (3.2142) Prec@1 39.062 (33.030) Prec@5 62.500 (57.679)
Epoch: [15][4800/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 3.2336 (3.2150) Prec@1 35.938 (33.014) Prec@5 58.594 (57.658)
Epoch: [15][5000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.9505 (3.2146) Prec@1 39.062 (33.025) Prec@5 65.625 (57.673)
Epoch: [15][5200/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 3.0550 (3.2150) Prec@1 35.156 (33.021) Prec@5 60.938 (57.656)
Epoch: [15][5400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.9453 (3.2147) Prec@1 42.188 (33.023) Prec@5 64.844 (57.662)
Epoch: [15][5600/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 3.2488 (3.2154) Prec@1 31.250 (33.007) Prec@5 58.594 (57.640)
Epoch: [15][5800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.1723 (3.2165) Prec@1 28.906 (32.994) Prec@5 60.156 (57.626)
Epoch: [15][6000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.9407 (3.2163) Prec@1 32.812 (32.989) Prec@5 59.375 (57.623)
Epoch: [15][6200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.2681 (3.2161) Prec@1 35.938 (32.997) Prec@5 53.906 (57.623)
Epoch: [15][6400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.5668 (3.2164) Prec@1 25.781 (32.986) Prec@5 50.781 (57.628)
Epoch: [15][6600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.2676 (3.2170) Prec@1 35.156 (32.977) Prec@5 54.688 (57.619)
Epoch: [15][6800/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 3.2706 (3.2173) Prec@1 30.469 (32.977) Prec@5 57.812 (57.619)
Epoch: [15][7000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.2416 (3.2173) Prec@1 32.812 (32.977) Prec@5 57.031 (57.615)
Epoch: [15][7200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.0124 (3.2174) Prec@1 37.500 (32.972) Prec@5 64.844 (57.619)
Epoch: [15][7400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.4991 (3.2169) Prec@1 29.688 (32.979) Prec@5 55.469 (57.625)
Epoch: [15][7600/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 3.5173 (3.2174) Prec@1 26.562 (32.975) Prec@5 57.812 (57.616)
Epoch: [15][7800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.1305 (3.2177) Prec@1 30.469 (32.969) Prec@5 59.375 (57.608)
Epoch: [15][8000/10010] Time 0.400 (0.399) Data 0.017 (0.001) Loss 3.2662 (3.2182) Prec@1 36.719 (32.964) Prec@5 55.469 (57.606)
Epoch: [15][8200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.9935 (3.2175) Prec@1 35.156 (32.977) Prec@5 62.500 (57.617)
Epoch: [15][8400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.0805 (3.2181) Prec@1 39.844 (32.968) Prec@5 60.156 (57.598)
Epoch: [15][8600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.2058 (3.2182) Prec@1 37.500 (32.976) Prec@5 60.156 (57.602)
Epoch: [15][8800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.9316 (3.2182) Prec@1 34.375 (32.978) Prec@5 65.625 (57.598)
Epoch: [15][9000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.1342 (3.2185) Prec@1 33.594 (32.966) Prec@5 57.812 (57.584)
Epoch: [15][9200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.6919 (3.2187) Prec@1 37.500 (32.960) Prec@5 67.969 (57.573)
Epoch: [15][9400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.1619 (3.2188) Prec@1 35.156 (32.954) Prec@5 57.812 (57.574)
Epoch: [15][9600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.4264 (3.2186) Prec@1 33.594 (32.957) Prec@5 54.688 (57.576)
Epoch: [15][9800/10010] Time 0.409 (0.399) Data 0.000 (0.001) Loss 3.3790 (3.2187) Prec@1 28.906 (32.953) Prec@5 52.344 (57.573)
Epoch: [15][10000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.8467 (3.2186) Prec@1 44.531 (32.949) Prec@5 62.500 (57.575)
Test: [0/391] Time 4.625 (4.625) Loss 2.3361 (2.3361) Prec@1 48.438 (48.438) Prec@5 73.438 (73.438)
Test: [200/391] Time 0.141 (0.242) Loss 4.7835 (2.9746) Prec@1 7.812 (35.059) Prec@5 28.125 (62.096)
* Prec@1 32.174 Prec@5 58.126 Loss@ 3.206
==>>[2018-06-21 06:13:31] [Epoch=016/150] [Need: 152:05:55] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=33.19/58.94, Error=66.81/41.06]
Epoch: [16][0/10010] Time 4.362 (4.362) Data 4.193 (4.193) Loss 3.1126 (3.1126) Prec@1 37.500 (37.500) Prec@5 58.594 (58.594)
Epoch: [16][200/10010] Time 0.401 (0.419) Data 0.000 (0.023) Loss 3.1250 (3.2099) Prec@1 34.375 (32.715) Prec@5 59.375 (57.766)
Epoch: [16][400/10010] Time 0.399 (0.409) Data 0.000 (0.012) Loss 3.4087 (3.2054) Prec@1 34.375 (32.994) Prec@5 50.000 (57.918)
Epoch: [16][600/10010] Time 0.404 (0.406) Data 0.000 (0.008) Loss 3.1200 (3.1989) Prec@1 31.250 (33.234) Prec@5 60.156 (58.096)
Epoch: [16][800/10010] Time 0.402 (0.404) Data 0.000 (0.006) Loss 3.2197 (3.1906) Prec@1 36.719 (33.358) Prec@5 60.156 (58.235)
Epoch: [16][1000/10010] Time 0.400 (0.403) Data 0.000 (0.005) Loss 3.1794 (3.1960) Prec@1 32.812 (33.285) Prec@5 57.812 (58.074)
Epoch: [16][1200/10010] Time 0.405 (0.402) Data 0.000 (0.004) Loss 3.2888 (3.1933) Prec@1 33.594 (33.388) Prec@5 61.719 (58.099)
Epoch: [16][1400/10010] Time 0.396 (0.402) Data 0.000 (0.004) Loss 3.0777 (3.1993) Prec@1 32.812 (33.276) Prec@5 59.375 (57.975)
Epoch: [16][1600/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 3.7064 (3.2024) Prec@1 22.656 (33.243) Prec@5 50.781 (57.904)
Epoch: [16][1800/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 3.1856 (3.2020) Prec@1 29.688 (33.222) Prec@5 52.344 (57.880)
Epoch: [16][2000/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 3.0578 (3.2026) Prec@1 35.938 (33.194) Prec@5 59.375 (57.885)
Epoch: [16][2200/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 3.0519 (3.2050) Prec@1 33.594 (33.144) Prec@5 60.156 (57.845)
Epoch: [16][2400/10010] Time 0.388 (0.401) Data 0.000 (0.002) Loss 3.1880 (3.2072) Prec@1 33.594 (33.129) Prec@5 57.031 (57.828)
Epoch: [16][2600/10010] Time 0.397 (0.401) Data 0.000 (0.002) Loss 3.1858 (3.2073) Prec@1 30.469 (33.119) Prec@5 57.812 (57.811)
Epoch: [16][2800/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.2737 (3.2080) Prec@1 28.906 (33.099) Prec@5 60.938 (57.776)
Epoch: [16][3000/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.9098 (3.2089) Prec@1 40.625 (33.096) Prec@5 61.719 (57.785)
Epoch: [16][3200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.9663 (3.2084) Prec@1 37.500 (33.091) Prec@5 61.719 (57.796)
Epoch: [16][3400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.0523 (3.2097) Prec@1 34.375 (33.043) Prec@5 60.156 (57.777)
Epoch: [16][3600/10010] Time 0.397 (0.400) Data 0.002 (0.002) Loss 2.9743 (3.2093) Prec@1 39.844 (33.043) Prec@5 60.938 (57.801)
Epoch: [16][3800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.4157 (3.2081) Prec@1 28.906 (33.053) Prec@5 51.562 (57.835)
Epoch: [16][4000/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 2.9233 (3.2081) Prec@1 34.375 (33.065) Prec@5 60.938 (57.832)
Epoch: [16][4200/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.3108 (3.2075) Prec@1 28.125 (33.083) Prec@5 58.594 (57.861)
Epoch: [16][4400/10010] Time 0.391 (0.400) Data 0.000 (0.002) Loss 3.3456 (3.2073) Prec@1 28.125 (33.092) Prec@5 57.812 (57.855)
Epoch: [16][4600/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 2.9900 (3.2075) Prec@1 35.156 (33.079) Prec@5 59.375 (57.854)
Epoch: [16][4800/10010] Time 0.398 (0.400) Data 0.001 (0.001) Loss 3.6066 (3.2090) Prec@1 28.906 (33.060) Prec@5 47.656 (57.830)
Epoch: [16][5000/10010] Time 0.392 (0.400) Data 0.001 (0.001) Loss 3.6845 (3.2096) Prec@1 24.219 (33.051) Prec@5 51.562 (57.816)
Epoch: [16][5200/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 3.2172 (3.2096) Prec@1 32.812 (33.046) Prec@5 58.594 (57.812)
Epoch: [16][5400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.3145 (3.2099) Prec@1 27.344 (33.029) Prec@5 50.781 (57.805)
Epoch: [16][5600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.2322 (3.2095) Prec@1 39.844 (33.030) Prec@5 54.688 (57.809)
Epoch: [16][5800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.2067 (3.2088) Prec@1 25.000 (33.045) Prec@5 60.156 (57.809)
Epoch: [16][6000/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 3.2263 (3.2098) Prec@1 37.500 (33.017) Prec@5 57.031 (57.789)
Epoch: [16][6200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.8535 (3.2105) Prec@1 33.594 (33.016) Prec@5 67.188 (57.787)
Epoch: [16][6400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.0010 (3.2108) Prec@1 35.938 (33.030) Prec@5 60.156 (57.775)
Epoch: [16][6600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.0972 (3.2108) Prec@1 35.156 (33.030) Prec@5 60.938 (57.776)
Epoch: [16][6800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.0191 (3.2112) Prec@1 39.062 (33.030) Prec@5 62.500 (57.766)
Epoch: [16][7000/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 3.0643 (3.2117) Prec@1 36.719 (33.024) Prec@5 57.812 (57.764)
Epoch: [16][7200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.6593 (3.2118) Prec@1 27.344 (33.023) Prec@5 50.781 (57.752)
Epoch: [16][7400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.2082 (3.2116) Prec@1 34.375 (33.029) Prec@5 58.594 (57.768)
Epoch: [16][7600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.8348 (3.2115) Prec@1 34.375 (33.028) Prec@5 67.188 (57.765)
Epoch: [16][7800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.9808 (3.2117) Prec@1 35.156 (33.027) Prec@5 59.375 (57.765)
Epoch: [16][8000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.2002 (3.2117) Prec@1 38.281 (33.020) Prec@5 59.375 (57.761)
Epoch: [16][8200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.3015 (3.2119) Prec@1 28.906 (33.018) Prec@5 57.812 (57.749)
Epoch: [16][8400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.1630 (3.2117) Prec@1 33.594 (33.018) Prec@5 62.500 (57.750)
Epoch: [16][8600/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 2.8444 (3.2115) Prec@1 32.031 (33.018) Prec@5 64.844 (57.757)
Epoch: [16][8800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.0297 (3.2112) Prec@1 34.375 (33.020) Prec@5 55.469 (57.764)
Epoch: [16][9000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.9617 (3.2112) Prec@1 42.969 (33.022) Prec@5 64.844 (57.765)
Epoch: [16][9200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.1395 (3.2112) Prec@1 30.469 (33.029) Prec@5 55.469 (57.766)
Epoch: [16][9400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.1794 (3.2111) Prec@1 35.938 (33.032) Prec@5 57.031 (57.771)
Epoch: [16][9600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.1382 (3.2115) Prec@1 33.594 (33.022) Prec@5 57.812 (57.762)
Epoch: [16][9800/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 3.0673 (3.2117) Prec@1 39.062 (33.022) Prec@5 55.469 (57.760)
Epoch: [16][10000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.6726 (3.2116) Prec@1 44.531 (33.018) Prec@5 66.406 (57.758)
Test: [0/391] Time 4.300 (4.300) Loss 2.1024 (2.1024) Prec@1 52.344 (52.344) Prec@5 78.906 (78.906)
Test: [200/391] Time 0.160 (0.252) Loss 4.2575 (3.0454) Prec@1 14.062 (33.193) Prec@5 41.406 (60.728)
* Prec@1 30.054 Prec@5 55.586 Loss@ 3.343
==>>[2018-06-21 07:21:39] [Epoch=017/150] [Need: 151:01:45] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=33.19/58.94, Error=66.81/41.06]
Epoch: [17][0/10010] Time 4.098 (4.098) Data 3.915 (3.915) Loss 3.1973 (3.1973) Prec@1 37.500 (37.500) Prec@5 59.375 (59.375)
Epoch: [17][200/10010] Time 0.406 (0.418) Data 0.000 (0.024) Loss 3.0981 (3.1675) Prec@1 33.594 (33.687) Prec@5 61.719 (58.287)
Epoch: [17][400/10010] Time 0.396 (0.408) Data 0.000 (0.012) Loss 2.8209 (3.1933) Prec@1 35.156 (33.208) Prec@5 70.312 (57.812)
Epoch: [17][600/10010] Time 0.394 (0.405) Data 0.000 (0.008) Loss 3.4392 (3.2068) Prec@1 31.250 (33.066) Prec@5 53.906 (57.597)
Epoch: [17][800/10010] Time 0.409 (0.404) Data 0.000 (0.006) Loss 2.6744 (3.2026) Prec@1 41.406 (33.158) Prec@5 64.062 (57.683)
Epoch: [17][1000/10010] Time 0.401 (0.403) Data 0.000 (0.005) Loss 3.2430 (3.2018) Prec@1 33.594 (33.139) Prec@5 56.250 (57.747)
Epoch: [17][1200/10010] Time 0.395 (0.402) Data 0.000 (0.004) Loss 3.2405 (3.1988) Prec@1 33.594 (33.175) Prec@5 57.031 (57.855)
Epoch: [17][1400/10010] Time 0.401 (0.402) Data 0.000 (0.004) Loss 3.1382 (3.1972) Prec@1 28.906 (33.230) Prec@5 57.812 (57.922)
Epoch: [17][1600/10010] Time 0.405 (0.401) Data 0.000 (0.003) Loss 3.0206 (3.1978) Prec@1 35.938 (33.193) Prec@5 57.812 (57.903)
Epoch: [17][1800/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 2.9614 (3.1984) Prec@1 31.250 (33.172) Prec@5 67.188 (57.890)
Epoch: [17][2000/10010] Time 0.405 (0.401) Data 0.000 (0.003) Loss 3.6024 (3.1992) Prec@1 26.562 (33.169) Prec@5 52.344 (57.882)
Epoch: [17][2200/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.9766 (3.1960) Prec@1 39.062 (33.240) Prec@5 57.812 (57.937)
Epoch: [17][2400/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 3.0904 (3.1965) Prec@1 33.594 (33.233) Prec@5 58.594 (57.918)
Epoch: [17][2600/10010] Time 0.394 (0.401) Data 0.001 (0.002) Loss 2.9485 (3.1961) Prec@1 36.719 (33.232) Prec@5 64.062 (57.946)
Epoch: [17][2800/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 3.1272 (3.1972) Prec@1 39.062 (33.214) Prec@5 62.500 (57.934)
Epoch: [17][3000/10010] Time 0.400 (0.400) Data 0.001 (0.002) Loss 3.0955 (3.1988) Prec@1 32.031 (33.196) Prec@5 59.375 (57.936)
Epoch: [17][3200/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 3.0875 (3.2018) Prec@1 39.062 (33.161) Prec@5 58.594 (57.881)
Epoch: [17][3400/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 3.2029 (3.2015) Prec@1 35.938 (33.145) Prec@5 58.594 (57.886)
Epoch: [17][3600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.0798 (3.2010) Prec@1 35.938 (33.154) Prec@5 60.938 (57.900)
Epoch: [17][3800/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 3.3551 (3.2013) Prec@1 30.469 (33.145) Prec@5 53.125 (57.897)
Epoch: [17][4000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.9315 (3.2015) Prec@1 41.406 (33.153) Prec@5 63.281 (57.884)
Epoch: [17][4200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.0092 (3.2019) Prec@1 35.156 (33.133) Prec@5 60.938 (57.862)
Epoch: [17][4400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.4225 (3.2022) Prec@1 28.906 (33.124) Prec@5 57.812 (57.855)
Epoch: [17][4600/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 3.0867 (3.2025) Prec@1 32.812 (33.122) Prec@5 60.156 (57.841)
Epoch: [17][4800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.4635 (3.2023) Prec@1 29.688 (33.130) Prec@5 52.344 (57.844)
Epoch: [17][5000/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.1540 (3.2028) Prec@1 35.938 (33.115) Prec@5 64.844 (57.840)
Epoch: [17][5200/10010] Time 0.391 (0.400) Data 0.000 (0.001) Loss 3.3045 (3.2027) Prec@1 32.031 (33.114) Prec@5 53.125 (57.843)
Epoch: [17][5400/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.2882 (3.2029) Prec@1 26.562 (33.112) Prec@5 57.031 (57.856)
Epoch: [17][5600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.2775 (3.2025) Prec@1 29.688 (33.121) Prec@5 53.125 (57.853)
Epoch: [17][5800/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 3.4721 (3.2024) Prec@1 25.781 (33.108) Prec@5 51.562 (57.852)
Epoch: [17][6000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.6570 (3.2024) Prec@1 28.906 (33.120) Prec@5 49.219 (57.850)
Epoch: [17][6200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.7951 (3.2029) Prec@1 39.062 (33.101) Prec@5 65.625 (57.847)
Epoch: [17][6400/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 2.8453 (3.2031) Prec@1 40.625 (33.107) Prec@5 61.719 (57.848)
Epoch: [17][6600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.1984 (3.2041) Prec@1 37.500 (33.100) Prec@5 58.594 (57.830)
Epoch: [17][6800/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.2023 (3.2043) Prec@1 38.281 (33.096) Prec@5 57.031 (57.832)
Epoch: [17][7000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.0906 (3.2042) Prec@1 30.469 (33.104) Prec@5 57.031 (57.841)
Epoch: [17][7200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.1224 (3.2042) Prec@1 34.375 (33.108) Prec@5 59.375 (57.835)
Epoch: [17][7400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.3220 (3.2042) Prec@1 32.031 (33.114) Prec@5 54.688 (57.836)
Epoch: [17][7600/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.6324 (3.2044) Prec@1 41.406 (33.114) Prec@5 67.188 (57.833)
Epoch: [17][7800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.1987 (3.2051) Prec@1 32.031 (33.106) Prec@5 59.375 (57.821)
Epoch: [17][8000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.6301 (3.2046) Prec@1 40.625 (33.111) Prec@5 65.625 (57.834)
Epoch: [17][8200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.9886 (3.2046) Prec@1 38.281 (33.104) Prec@5 60.156 (57.835)
Epoch: [17][8400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.1309 (3.2046) Prec@1 30.469 (33.107) Prec@5 57.031 (57.831)
Epoch: [17][8600/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 3.1119 (3.2049) Prec@1 32.812 (33.104) Prec@5 57.812 (57.824)
Epoch: [17][8800/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 3.2139 (3.2051) Prec@1 32.031 (33.105) Prec@5 56.250 (57.822)
Epoch: [17][9000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.5279 (3.2051) Prec@1 29.688 (33.113) Prec@5 55.469 (57.825)
Epoch: [17][9200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.1669 (3.2050) Prec@1 32.812 (33.111) Prec@5 59.375 (57.829)
Epoch: [17][9400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.1018 (3.2055) Prec@1 32.812 (33.097) Prec@5 56.250 (57.826)
Epoch: [17][9600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.1681 (3.2057) Prec@1 32.812 (33.100) Prec@5 62.500 (57.823)
Epoch: [17][9800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.1565 (3.2060) Prec@1 34.375 (33.091) Prec@5 61.719 (57.817)
Epoch: [17][10000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.7003 (3.2058) Prec@1 33.594 (33.094) Prec@5 68.750 (57.819)
Test: [0/391] Time 4.810 (4.810) Loss 1.8771 (1.8771) Prec@1 58.594 (58.594) Prec@5 79.688 (79.688)
Test: [200/391] Time 0.140 (0.245) Loss 3.3783 (2.8225) Prec@1 30.469 (37.570) Prec@5 54.688 (65.431)
* Prec@1 34.178 Prec@5 60.402 Loss@ 3.095
==>>[2018-06-21 08:29:48] [Epoch=018/150] [Need: 149:55:36] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=34.18/60.40, Error=65.82/39.60]
Epoch: [18][0/10010] Time 4.506 (4.506) Data 4.323 (4.323) Loss 3.4586 (3.4586) Prec@1 28.906 (28.906) Prec@5 57.031 (57.031)
Epoch: [18][200/10010] Time 0.396 (0.420) Data 0.000 (0.025) Loss 3.0581 (3.1895) Prec@1 32.812 (32.984) Prec@5 61.719 (58.038)
Epoch: [18][400/10010] Time 0.394 (0.409) Data 0.000 (0.013) Loss 3.4285 (3.1777) Prec@1 33.594 (33.222) Prec@5 54.688 (58.148)
Epoch: [18][600/10010] Time 0.395 (0.406) Data 0.000 (0.009) Loss 3.2965 (3.1799) Prec@1 28.906 (33.227) Prec@5 57.031 (58.087)
Epoch: [18][800/10010] Time 0.397 (0.404) Data 0.001 (0.007) Loss 3.1864 (3.1844) Prec@1 35.938 (33.165) Prec@5 53.125 (58.027)
Epoch: [18][1000/10010] Time 0.405 (0.404) Data 0.000 (0.005) Loss 2.8493 (3.1795) Prec@1 38.281 (33.237) Prec@5 66.406 (58.188)
Epoch: [18][1200/10010] Time 0.403 (0.403) Data 0.000 (0.005) Loss 3.5331 (3.1800) Prec@1 28.906 (33.311) Prec@5 50.000 (58.181)
Epoch: [18][1400/10010] Time 0.399 (0.402) Data 0.000 (0.004) Loss 3.2465 (3.1828) Prec@1 27.344 (33.351) Prec@5 55.469 (58.164)
Epoch: [18][1600/10010] Time 0.399 (0.402) Data 0.000 (0.004) Loss 3.3284 (3.1841) Prec@1 32.812 (33.361) Prec@5 56.250 (58.158)
Epoch: [18][1800/10010] Time 0.404 (0.401) Data 0.000 (0.003) Loss 3.4241 (3.1852) Prec@1 31.250 (33.346) Prec@5 55.469 (58.133)
Epoch: [18][2000/10010] Time 0.408 (0.401) Data 0.000 (0.003) Loss 3.1227 (3.1852) Prec@1 35.156 (33.358) Prec@5 59.375 (58.119)
Epoch: [18][2200/10010] Time 0.405 (0.401) Data 0.000 (0.003) Loss 3.2236 (3.1879) Prec@1 34.375 (33.327) Prec@5 53.906 (58.106)
Epoch: [18][2400/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 2.8652 (3.1902) Prec@1 39.062 (33.296) Prec@5 65.625 (58.090)
Epoch: [18][2600/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 3.2060 (3.1918) Prec@1 35.156 (33.271) Prec@5 55.469 (58.067)
Epoch: [18][2800/10010] Time 0.428 (0.401) Data 0.001 (0.002) Loss 3.4974 (3.1940) Prec@1 32.812 (33.251) Prec@5 57.812 (58.029)
Epoch: [18][3000/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 2.9346 (3.1938) Prec@1 38.281 (33.252) Prec@5 63.281 (58.063)
Epoch: [18][3200/10010] Time 0.388 (0.401) Data 0.000 (0.002) Loss 3.3717 (3.1943) Prec@1 31.250 (33.253) Prec@5 54.688 (58.070)
Epoch: [18][3400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.2896 (3.1951) Prec@1 29.688 (33.240) Prec@5 60.156 (58.062)
Epoch: [18][3600/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.1828 (3.1951) Prec@1 35.938 (33.238) Prec@5 60.156 (58.079)
Epoch: [18][3800/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.0601 (3.1955) Prec@1 29.688 (33.242) Prec@5 61.719 (58.063)
Epoch: [18][4000/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.0204 (3.1943) Prec@1 35.938 (33.256) Prec@5 56.250 (58.089)
Epoch: [18][4200/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.3091 (3.1943) Prec@1 28.125 (33.245) Prec@5 50.781 (58.088)
Epoch: [18][4400/10010] Time 0.393 (0.400) Data 0.001 (0.002) Loss 3.3896 (3.1955) Prec@1 32.031 (33.228) Prec@5 53.125 (58.067)
Epoch: [18][4600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.0158 (3.1955) Prec@1 29.688 (33.234) Prec@5 63.281 (58.071)
Epoch: [18][4800/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 3.1665 (3.1963) Prec@1 34.375 (33.233) Prec@5 60.938 (58.048)
Epoch: [18][5000/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.4783 (3.1964) Prec@1 30.469 (33.224) Prec@5 52.344 (58.040)
Epoch: [18][5200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.0067 (3.1968) Prec@1 43.750 (33.229) Prec@5 61.719 (58.028)
Epoch: [18][5400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.3408 (3.1967) Prec@1 26.562 (33.234) Prec@5 57.031 (58.015)
Epoch: [18][5600/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 3.4966 (3.1969) Prec@1 27.344 (33.239) Prec@5 51.562 (58.000)
Epoch: [18][5800/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.5377 (3.1972) Prec@1 25.781 (33.239) Prec@5 53.906 (57.985)
Epoch: [18][6000/10010] Time 0.391 (0.400) Data 0.000 (0.001) Loss 2.9071 (3.1977) Prec@1 42.969 (33.227) Prec@5 66.406 (57.980)
Epoch: [18][6200/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 3.2851 (3.1975) Prec@1 27.344 (33.225) Prec@5 56.250 (57.982)
Epoch: [18][6400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.9310 (3.1978) Prec@1 40.625 (33.226) Prec@5 60.938 (57.980)
Epoch: [18][6600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.3610 (3.1980) Prec@1 32.812 (33.229) Prec@5 54.688 (57.977)
Epoch: [18][6800/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.0649 (3.1985) Prec@1 38.281 (33.218) Prec@5 60.156 (57.968)
Epoch: [18][7000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.1491 (3.1982) Prec@1 33.594 (33.220) Prec@5 58.594 (57.970)
Epoch: [18][7200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.3939 (3.1989) Prec@1 30.469 (33.211) Prec@5 54.688 (57.966)
Epoch: [18][7400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.3554 (3.1986) Prec@1 38.281 (33.220) Prec@5 54.688 (57.976)
Epoch: [18][7600/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.0636 (3.1984) Prec@1 34.375 (33.216) Prec@5 56.250 (57.971)
Epoch: [18][7800/10010] Time 0.391 (0.400) Data 0.001 (0.001) Loss 3.5488 (3.1987) Prec@1 28.906 (33.222) Prec@5 46.875 (57.957)
Epoch: [18][8000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.1046 (3.1984) Prec@1 41.406 (33.223) Prec@5 57.812 (57.962)
Epoch: [18][8200/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 3.3633 (3.1991) Prec@1 25.000 (33.210) Prec@5 58.594 (57.950)
Epoch: [18][8400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 3.0525 (3.1990) Prec@1 28.125 (33.208) Prec@5 63.281 (57.958)
Epoch: [18][8600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.2118 (3.1997) Prec@1 30.469 (33.191) Prec@5 59.375 (57.939)
Epoch: [18][8800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.9810 (3.1997) Prec@1 32.812 (33.193) Prec@5 60.156 (57.937)
Epoch: [18][9000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.1142 (3.1998) Prec@1 33.594 (33.192) Prec@5 64.844 (57.933)
Epoch: [18][9200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.5978 (3.2006) Prec@1 28.906 (33.182) Prec@5 50.000 (57.919)
Epoch: [18][9400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.3175 (3.2002) Prec@1 25.781 (33.183) Prec@5 51.562 (57.920)
Epoch: [18][9600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.1960 (3.2001) Prec@1 35.156 (33.189) Prec@5 56.250 (57.931)
Epoch: [18][9800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.5710 (3.2004) Prec@1 26.562 (33.183) Prec@5 50.000 (57.930)
Epoch: [18][10000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.4395 (3.2005) Prec@1 32.031 (33.179) Prec@5 51.562 (57.923)
Test: [0/391] Time 4.512 (4.512) Loss 2.6132 (2.6132) Prec@1 49.219 (49.219) Prec@5 67.188 (67.188)
Test: [200/391] Time 0.141 (0.251) Loss 3.7784 (3.0839) Prec@1 25.000 (32.980) Prec@5 43.750 (60.071)
* Prec@1 31.008 Prec@5 57.034 Loss@ 3.247
==>>[2018-06-21 09:37:58] [Epoch=019/150] [Need: 148:48:39] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=34.18/60.40, Error=65.82/39.60]
Epoch: [19][0/10010] Time 4.451 (4.451) Data 4.292 (4.292) Loss 2.8685 (2.8685) Prec@1 37.500 (37.500) Prec@5 65.625 (65.625)
Epoch: [19][200/10010] Time 0.405 (0.419) Data 0.000 (0.024) Loss 2.9376 (3.2068) Prec@1 40.625 (33.042) Prec@5 58.594 (57.568)
Epoch: [19][400/10010] Time 0.399 (0.409) Data 0.000 (0.012) Loss 3.1787 (3.1893) Prec@1 35.156 (33.264) Prec@5 61.719 (57.828)
Epoch: [19][600/10010] Time 0.389 (0.405) Data 0.000 (0.008) Loss 3.0603 (3.1828) Prec@1 38.281 (33.306) Prec@5 57.031 (58.007)
Epoch: [19][800/10010] Time 0.393 (0.405) Data 0.000 (0.006) Loss 3.0728 (3.1787) Prec@1 40.625 (33.444) Prec@5 60.156 (58.152)
Epoch: [19][1000/10010] Time 0.400 (0.403) Data 0.000 (0.005) Loss 2.9390 (3.1754) Prec@1 32.812 (33.477) Prec@5 60.938 (58.302)
Epoch: [19][1200/10010] Time 0.394 (0.403) Data 0.001 (0.004) Loss 3.0219 (3.1747) Prec@1 35.938 (33.471) Prec@5 60.938 (58.339)
Epoch: [19][1400/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 3.2813 (3.1751) Prec@1 25.000 (33.441) Prec@5 57.812 (58.308)
Epoch: [19][1600/10010] Time 0.401 (0.402) Data 0.001 (0.003) Loss 2.8781 (3.1744) Prec@1 40.625 (33.487) Prec@5 66.406 (58.308)
Epoch: [19][1800/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 2.9870 (3.1740) Prec@1 35.156 (33.502) Prec@5 64.062 (58.293)
Epoch: [19][2000/10010] Time 0.394 (0.401) Data 0.000 (0.003) Loss 2.9536 (3.1759) Prec@1 36.719 (33.458) Prec@5 60.156 (58.267)
Epoch: [19][2200/10010] Time 0.392 (0.401) Data 0.000 (0.003) Loss 3.6508 (3.1769) Prec@1 29.688 (33.466) Prec@5 48.438 (58.264)
Epoch: [19][2400/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 3.1824 (3.1804) Prec@1 29.688 (33.406) Prec@5 60.156 (58.196)
Epoch: [19][2600/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 3.5088 (3.1817) Prec@1 29.688 (33.386) Prec@5 50.000 (58.189)
Epoch: [19][2800/10010] Time 0.397 (0.401) Data 0.000 (0.002) Loss 3.0910 (3.1825) Prec@1 37.500 (33.384) Prec@5 61.719 (58.181)
Epoch: [19][3000/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 3.1469 (3.1841) Prec@1 33.594 (33.387) Prec@5 60.938 (58.161)
Epoch: [19][3200/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.0311 (3.1836) Prec@1 36.719 (33.414) Prec@5 60.156 (58.187)
Epoch: [19][3400/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 3.6032 (3.1852) Prec@1 26.562 (33.398) Prec@5 51.562 (58.164)
Epoch: [19][3600/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 3.2795 (3.1846) Prec@1 38.281 (33.412) Prec@5 58.594 (58.177)
Epoch: [19][3800/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.9777 (3.1859) Prec@1 42.969 (33.401) Prec@5 63.281 (58.155)
Epoch: [19][4000/10010] Time 0.412 (0.400) Data 0.000 (0.002) Loss 3.0425 (3.1864) Prec@1 35.938 (33.393) Prec@5 64.062 (58.151)
Epoch: [19][4200/10010] Time 0.400 (0.400) Data 0.001 (0.002) Loss 3.4458 (3.1871) Prec@1 28.906 (33.381) Prec@5 53.125 (58.144)
Epoch: [19][4400/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.1156 (3.1871) Prec@1 34.375 (33.395) Prec@5 57.812 (58.147)
Epoch: [19][4600/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.2383 (3.1875) Prec@1 34.375 (33.394) Prec@5 55.469 (58.144)
Epoch: [19][4800/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 3.3546 (3.1872) Prec@1 32.812 (33.402) Prec@5 53.906 (58.136)
Epoch: [19][5000/10010] Time 0.404 (0.400) Data 0.001 (0.001) Loss 3.4506 (3.1879) Prec@1 27.344 (33.397) Prec@5 58.594 (58.125)
Epoch: [19][5200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.2583 (3.1880) Prec@1 28.125 (33.397) Prec@5 57.812 (58.114)
Epoch: [19][5400/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 2.9625 (3.1887) Prec@1 35.156 (33.394) Prec@5 59.375 (58.105)
Epoch: [19][5600/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 3.4578 (3.1888) Prec@1 28.906 (33.401) Prec@5 53.125 (58.102)
Epoch: [19][5800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.0223 (3.1891) Prec@1 36.719 (33.400) Prec@5 60.156 (58.096)
Epoch: [19][6000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.1787 (3.1887) Prec@1 36.719 (33.394) Prec@5 60.156 (58.111)
Epoch: [19][6200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.9382 (3.1886) Prec@1 32.812 (33.393) Prec@5 64.062 (58.120)
Epoch: [19][6400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.0209 (3.1883) Prec@1 40.625 (33.383) Prec@5 59.375 (58.117)
Epoch: [19][6600/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.9948 (3.1891) Prec@1 33.594 (33.367) Prec@5 63.281 (58.104)
Epoch: [19][6800/10010] Time 0.391 (0.400) Data 0.000 (0.001) Loss 3.3407 (3.1892) Prec@1 30.469 (33.377) Prec@5 51.562 (58.106)
Epoch: [19][7000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.1309 (3.1892) Prec@1 35.156 (33.381) Prec@5 54.688 (58.109)
Epoch: [19][7200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.2572 (3.1895) Prec@1 31.250 (33.375) Prec@5 54.688 (58.108)
Epoch: [19][7400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.9891 (3.1896) Prec@1 38.281 (33.379) Prec@5 60.938 (58.107)
Epoch: [19][7600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.0244 (3.1900) Prec@1 31.250 (33.376) Prec@5 60.156 (58.100)
Epoch: [19][7800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.0334 (3.1905) Prec@1 35.938 (33.367) Prec@5 63.281 (58.083)
Epoch: [19][8000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.8939 (3.1910) Prec@1 37.500 (33.360) Prec@5 67.188 (58.069)
Epoch: [19][8200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.9749 (3.1903) Prec@1 34.375 (33.369) Prec@5 62.500 (58.084)
Epoch: [19][8400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.1517 (3.1900) Prec@1 32.812 (33.375) Prec@5 55.469 (58.086)
Epoch: [19][8600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.0937 (3.1906) Prec@1 31.250 (33.365) Prec@5 65.625 (58.079)
Epoch: [19][8800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.2097 (3.1909) Prec@1 28.906 (33.358) Prec@5 60.938 (58.068)
Epoch: [19][9000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.0959 (3.1909) Prec@1 41.406 (33.361) Prec@5 60.156 (58.071)
Epoch: [19][9200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.2846 (3.1912) Prec@1 31.250 (33.356) Prec@5 56.250 (58.066)
Epoch: [19][9400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.3132 (3.1920) Prec@1 32.031 (33.352) Prec@5 56.250 (58.057)
Epoch: [19][9600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 3.5783 (3.1923) Prec@1 31.250 (33.345) Prec@5 53.906 (58.057)
Epoch: [19][9800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.2276 (3.1928) Prec@1 35.938 (33.330) Prec@5 57.031 (58.051)
Epoch: [19][10000/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 3.0401 (3.1923) Prec@1 35.156 (33.334) Prec@5 61.719 (58.056)
Test: [0/391] Time 4.471 (4.471) Loss 2.2250 (2.2250) Prec@1 52.344 (52.344) Prec@5 78.125 (78.125)
Test: [200/391] Time 0.158 (0.243) Loss 4.2023 (2.7512) Prec@1 11.719 (38.452) Prec@5 33.594 (66.266)
* Prec@1 34.772 Prec@5 61.090 Loss@ 3.036
==>>[2018-06-21 10:46:04] [Epoch=020/150] [Need: 147:32:53] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=34.77/61.09, Error=65.23/38.91]
Epoch: [20][0/10010] Time 5.208 (5.208) Data 4.991 (4.991) Loss 3.4184 (3.4184) Prec@1 34.375 (34.375) Prec@5 53.906 (53.906)
Epoch: [20][200/10010] Time 0.396 (0.423) Data 0.001 (0.030) Loss 3.1913 (3.2003) Prec@1 32.031 (33.570) Prec@5 64.062 (58.073)
Epoch: [20][400/10010] Time 0.404 (0.411) Data 0.000 (0.015) Loss 3.0151 (3.1765) Prec@1 28.906 (33.845) Prec@5 60.156 (58.537)
Epoch: [20][600/10010] Time 0.396 (0.407) Data 0.001 (0.010) Loss 3.0097 (3.1723) Prec@1 39.844 (33.820) Prec@5 63.281 (58.513)
Epoch: [20][800/10010] Time 0.402 (0.405) Data 0.000 (0.008) Loss 3.3334 (3.1712) Prec@1 26.562 (33.764) Prec@5 57.812 (58.588)
Epoch: [20][1000/10010] Time 0.399 (0.404) Data 0.000 (0.006) Loss 2.8476 (3.1653) Prec@1 35.938 (33.797) Prec@5 64.844 (58.606)
Epoch: [20][1200/10010] Time 0.393 (0.403) Data 0.000 (0.005) Loss 3.3101 (3.1673) Prec@1 34.375 (33.819) Prec@5 53.125 (58.567)
Epoch: [20][1400/10010] Time 0.402 (0.402) Data 0.000 (0.005) Loss 2.8029 (3.1696) Prec@1 43.750 (33.726) Prec@5 63.281 (58.500)
Epoch: [20][1600/10010] Time 0.396 (0.402) Data 0.001 (0.004) Loss 3.1974 (3.1688) Prec@1 33.594 (33.703) Prec@5 53.906 (58.484)
Epoch: [20][1800/10010] Time 0.394 (0.402) Data 0.000 (0.004) Loss 3.2925 (3.1729) Prec@1 28.125 (33.651) Prec@5 58.594 (58.415)
Epoch: [20][2000/10010] Time 0.402 (0.401) Data 0.000 (0.003) Loss 2.9756 (3.1713) Prec@1 30.469 (33.642) Prec@5 63.281 (58.450)
Epoch: [20][2200/10010] Time 0.397 (0.401) Data 0.000 (0.003) Loss 3.5342 (3.1755) Prec@1 30.469 (33.592) Prec@5 52.344 (58.365)
Epoch: [20][2400/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 3.0620 (3.1766) Prec@1 34.375 (33.579) Prec@5 64.062 (58.349)
Epoch: [20][2600/10010] Time 0.405 (0.401) Data 0.000 (0.003) Loss 3.0059 (3.1785) Prec@1 39.844 (33.547) Prec@5 64.062 (58.321)
Epoch: [20][2800/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 2.9257 (3.1787) Prec@1 45.312 (33.544) Prec@5 64.844 (58.317)
Epoch: [20][3000/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.1895 (3.1801) Prec@1 31.250 (33.474) Prec@5 53.906 (58.307)
Epoch: [20][3200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.9216 (3.1810) Prec@1 38.281 (33.472) Prec@5 64.062 (58.292)
Epoch: [20][3400/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.9115 (3.1817) Prec@1 35.156 (33.455) Prec@5 62.500 (58.279)
Epoch: [20][3600/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 3.4894 (3.1835) Prec@1 32.812 (33.442) Prec@5 53.906 (58.243)
Epoch: [20][3800/10010] Time 0.389 (0.400) Data 0.000 (0.002) Loss 3.6458 (3.1838) Prec@1 30.469 (33.441) Prec@5 51.562 (58.237)
Epoch: [20][4000/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.0530 (3.1837) Prec@1 36.719 (33.455) Prec@5 57.812 (58.234)
Epoch: [20][4200/10010] Time 0.410 (0.400) Data 0.000 (0.002) Loss 3.2680 (3.1834) Prec@1 33.594 (33.469) Prec@5 57.031 (58.232)
Epoch: [20][4400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.3630 (3.1855) Prec@1 35.156 (33.438) Prec@5 54.688 (58.201)
Epoch: [20][4600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.2838 (3.1867) Prec@1 28.906 (33.429) Prec@5 54.688 (58.186)
Epoch: [20][4800/10010] Time 0.396 (0.400) Data 0.001 (0.002) Loss 3.6743 (3.1878) Prec@1 27.344 (33.400) Prec@5 46.875 (58.155)
Epoch: [20][5000/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 3.1736 (3.1879) Prec@1 39.062 (33.403) Prec@5 62.500 (58.164)
Epoch: [20][5200/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 3.0095 (3.1879) Prec@1 31.250 (33.401) Prec@5 67.969 (58.164)
Epoch: [20][5400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.8801 (3.1891) Prec@1 33.594 (33.399) Prec@5 64.062 (58.145)
Epoch: [20][5600/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 3.2854 (3.1896) Prec@1 32.812 (33.385) Prec@5 57.812 (58.127)
Epoch: [20][5800/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.9575 (3.1893) Prec@1 38.281 (33.391) Prec@5 61.719 (58.137)
Epoch: [20][6000/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 2.8710 (3.1889) Prec@1 37.500 (33.398) Prec@5 64.062 (58.140)
Epoch: [20][6200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.9558 (3.1894) Prec@1 32.031 (33.399) Prec@5 63.281 (58.136)
Epoch: [20][6400/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 3.3478 (3.1892) Prec@1 33.594 (33.408) Prec@5 57.812 (58.140)
Epoch: [20][6600/10010] Time 0.410 (0.400) Data 0.000 (0.001) Loss 3.2079 (3.1896) Prec@1 34.375 (33.408) Prec@5 56.250 (58.130)
Epoch: [20][6800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.7207 (3.1897) Prec@1 38.281 (33.409) Prec@5 65.625 (58.134)
Epoch: [20][7000/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.1453 (3.1898) Prec@1 37.500 (33.413) Prec@5 58.594 (58.135)
Epoch: [20][7200/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 2.9676 (3.1893) Prec@1 32.812 (33.418) Prec@5 61.719 (58.147)
Epoch: [20][7400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.1991 (3.1893) Prec@1 35.938 (33.435) Prec@5 58.594 (58.141)
Epoch: [20][7600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.0010 (3.1889) Prec@1 39.844 (33.434) Prec@5 61.719 (58.145)
Epoch: [20][7800/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 3.1219 (3.1885) Prec@1 39.844 (33.436) Prec@5 63.281 (58.153)
Epoch: [20][8000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.2751 (3.1895) Prec@1 33.594 (33.427) Prec@5 57.812 (58.139)
Epoch: [20][8200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.1942 (3.1899) Prec@1 30.469 (33.419) Prec@5 57.812 (58.137)
Epoch: [20][8400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.6896 (3.1903) Prec@1 27.344 (33.413) Prec@5 50.781 (58.133)
Epoch: [20][8600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.2123 (3.1900) Prec@1 28.125 (33.413) Prec@5 60.156 (58.142)
Epoch: [20][8800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.6268 (3.1902) Prec@1 26.562 (33.409) Prec@5 53.125 (58.137)
Epoch: [20][9000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.9309 (3.1904) Prec@1 40.625 (33.406) Prec@5 65.625 (58.137)
Epoch: [20][9200/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 3.2458 (3.1914) Prec@1 34.375 (33.392) Prec@5 55.469 (58.123)
Epoch: [20][9400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.0233 (3.1909) Prec@1 32.031 (33.405) Prec@5 59.375 (58.131)
Epoch: [20][9600/10010] Time 0.392 (0.399) Data 0.001 (0.001) Loss 3.2261 (3.1912) Prec@1 29.688 (33.401) Prec@5 58.594 (58.126)
Epoch: [20][9800/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 3.1872 (3.1912) Prec@1 36.719 (33.403) Prec@5 60.156 (58.131)
Epoch: [20][10000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.9378 (3.1906) Prec@1 35.156 (33.410) Prec@5 62.500 (58.139)
Test: [0/391] Time 4.368 (4.368) Loss 2.6806 (2.6806) Prec@1 47.656 (47.656) Prec@5 67.969 (67.969)
Test: [200/391] Time 0.139 (0.253) Loss 2.6308 (2.8693) Prec@1 43.750 (36.221) Prec@5 63.281 (64.129)
* Prec@1 33.932 Prec@5 60.272 Loss@ 3.066
==>>[2018-06-21 11:54:16] [Epoch=021/150] [Need: 146:38:06] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=34.77/61.09, Error=65.23/38.91]
Epoch: [21][0/10010] Time 5.438 (5.438) Data 5.279 (5.279) Loss 3.4050 (3.4050) Prec@1 31.250 (31.250) Prec@5 53.125 (53.125)
Epoch: [21][200/10010] Time 0.401 (0.424) Data 0.000 (0.028) Loss 3.2945 (3.1820) Prec@1 28.906 (33.155) Prec@5 57.031 (58.322)
Epoch: [21][400/10010] Time 0.397 (0.411) Data 0.000 (0.014) Loss 3.2984 (3.1741) Prec@1 23.438 (33.479) Prec@5 56.250 (58.539)
Epoch: [21][600/10010] Time 0.401 (0.407) Data 0.000 (0.010) Loss 3.3685 (3.1797) Prec@1 32.031 (33.442) Prec@5 57.031 (58.456)
Epoch: [21][800/10010] Time 0.405 (0.405) Data 0.000 (0.007) Loss 2.8835 (3.1706) Prec@1 34.375 (33.608) Prec@5 62.500 (58.529)
Epoch: [21][1000/10010] Time 0.396 (0.404) Data 0.000 (0.006) Loss 3.4613 (3.1761) Prec@1 25.000 (33.564) Prec@5 53.125 (58.438)
Epoch: [21][1200/10010] Time 0.400 (0.403) Data 0.001 (0.005) Loss 3.4147 (3.1765) Prec@1 30.469 (33.585) Prec@5 54.688 (58.417)
Epoch: [21][1400/10010] Time 0.395 (0.402) Data 0.000 (0.004) Loss 3.0356 (3.1783) Prec@1 32.812 (33.502) Prec@5 60.938 (58.424)
Epoch: [21][1600/10010] Time 0.401 (0.402) Data 0.000 (0.004) Loss 3.0639 (3.1799) Prec@1 38.281 (33.457) Prec@5 60.156 (58.388)
Epoch: [21][1800/10010] Time 0.401 (0.402) Data 0.000 (0.004) Loss 3.0938 (3.1818) Prec@1 32.812 (33.411) Prec@5 57.812 (58.363)
Epoch: [21][2000/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 3.1873 (3.1799) Prec@1 36.719 (33.432) Prec@5 59.375 (58.430)
Epoch: [21][2200/10010] Time 0.390 (0.401) Data 0.000 (0.003) Loss 3.4944 (3.1803) Prec@1 26.562 (33.465) Prec@5 53.906 (58.395)
Epoch: [21][2400/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 3.0192 (3.1800) Prec@1 32.812 (33.492) Prec@5 54.688 (58.421)
Epoch: [21][2600/10010] Time 0.401 (0.401) Data 0.000 (0.003) Loss 3.5871 (3.1795) Prec@1 29.688 (33.495) Prec@5 55.469 (58.443)
Epoch: [21][2800/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 3.4265 (3.1800) Prec@1 36.719 (33.504) Prec@5 57.812 (58.414)
Epoch: [21][3000/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 3.3260 (3.1815) Prec@1 33.594 (33.518) Prec@5 57.031 (58.400)
Epoch: [21][3200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.1199 (3.1816) Prec@1 34.375 (33.506) Prec@5 57.812 (58.378)
Epoch: [21][3400/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.1607 (3.1809) Prec@1 31.250 (33.528) Prec@5 60.938 (58.382)
Epoch: [21][3600/10010] Time 0.419 (0.400) Data 0.000 (0.002) Loss 3.1638 (3.1815) Prec@1 32.031 (33.541) Prec@5 57.812 (58.385)
Epoch: [21][3800/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.0643 (3.1800) Prec@1 35.938 (33.585) Prec@5 60.156 (58.414)
Epoch: [21][4000/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.0698 (3.1799) Prec@1 34.375 (33.564) Prec@5 61.719 (58.403)
Epoch: [21][4200/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 2.9035 (3.1797) Prec@1 39.062 (33.561) Prec@5 68.750 (58.390)
Epoch: [21][4400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.1553 (3.1802) Prec@1 36.719 (33.560) Prec@5 53.906 (58.377)
Epoch: [21][4600/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.2717 (3.1815) Prec@1 30.469 (33.548) Prec@5 55.469 (58.345)
Epoch: [21][4800/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.6846 (3.1812) Prec@1 37.500 (33.552) Prec@5 68.750 (58.342)
Epoch: [21][5000/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 3.0984 (3.1807) Prec@1 36.719 (33.553) Prec@5 57.031 (58.352)
Epoch: [21][5200/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.2792 (3.1816) Prec@1 34.375 (33.546) Prec@5 55.469 (58.331)
Epoch: [21][5400/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 3.1770 (3.1829) Prec@1 34.375 (33.533) Prec@5 54.688 (58.298)
Epoch: [21][5600/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 3.1994 (3.1837) Prec@1 32.812 (33.510) Prec@5 57.812 (58.279)
Epoch: [21][5800/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.0197 (3.1836) Prec@1 39.844 (33.501) Prec@5 61.719 (58.285)
Epoch: [21][6000/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.2586 (3.1837) Prec@1 25.781 (33.484) Prec@5 54.688 (58.287)
Epoch: [21][6200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.1092 (3.1827) Prec@1 35.156 (33.489) Prec@5 53.125 (58.304)
Epoch: [21][6400/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 3.2123 (3.1831) Prec@1 28.906 (33.481) Prec@5 57.031 (58.290)
Epoch: [21][6600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.1055 (3.1830) Prec@1 28.906 (33.483) Prec@5 54.688 (58.290)
Epoch: [21][6800/10010] Time 0.391 (0.400) Data 0.000 (0.001) Loss 3.6051 (3.1836) Prec@1 30.469 (33.478) Prec@5 51.562 (58.280)
Epoch: [21][7000/10010] Time 0.401 (0.400) Data 0.001 (0.001) Loss 3.0875 (3.1840) Prec@1 34.375 (33.463) Prec@5 56.250 (58.274)
Epoch: [21][7200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.2301 (3.1834) Prec@1 38.281 (33.488) Prec@5 51.562 (58.284)
Epoch: [21][7400/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.4215 (3.1837) Prec@1 35.156 (33.490) Prec@5 54.688 (58.290)
Epoch: [21][7600/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 3.0170 (3.1840) Prec@1 32.812 (33.482) Prec@5 61.719 (58.284)
Epoch: [21][7800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.4130 (3.1844) Prec@1 28.125 (33.491) Prec@5 49.219 (58.278)
Epoch: [21][8000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.2405 (3.1854) Prec@1 32.812 (33.476) Prec@5 56.250 (58.250)
Epoch: [21][8200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.2154 (3.1848) Prec@1 28.906 (33.479) Prec@5 61.719 (58.262)
Epoch: [21][8400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.0639 (3.1848) Prec@1 37.500 (33.476) Prec@5 58.594 (58.259)
Epoch: [21][8600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.2392 (3.1848) Prec@1 29.688 (33.482) Prec@5 58.594 (58.256)
Epoch: [21][8800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.0659 (3.1853) Prec@1 33.594 (33.482) Prec@5 61.719 (58.244)
Epoch: [21][9000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.0294 (3.1854) Prec@1 37.500 (33.475) Prec@5 62.500 (58.240)
Epoch: [21][9200/10010] Time 0.388 (0.399) Data 0.000 (0.001) Loss 3.1398 (3.1852) Prec@1 28.125 (33.472) Prec@5 57.031 (58.245)
Epoch: [21][9400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.9338 (3.1852) Prec@1 36.719 (33.470) Prec@5 59.375 (58.245)
Epoch: [21][9600/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.1825 (3.1859) Prec@1 36.719 (33.462) Prec@5 53.125 (58.228)
Epoch: [21][9800/10010] Time 0.398 (0.400) Data 0.001 (0.001) Loss 3.0691 (3.1860) Prec@1 37.500 (33.456) Prec@5 60.938 (58.235)
Epoch: [21][10000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.4147 (3.1862) Prec@1 27.344 (33.457) Prec@5 53.906 (58.229)
Test: [0/391] Time 4.763 (4.763) Loss 1.8052 (1.8052) Prec@1 51.562 (51.562) Prec@5 85.156 (85.156)
Test: [200/391] Time 0.140 (0.247) Loss 3.9838 (2.9239) Prec@1 14.062 (34.962) Prec@5 42.969 (62.974)
* Prec@1 31.408 Prec@5 57.686 Loss@ 3.225
==>>[2018-06-21 13:02:33] [Epoch=022/150] [Need: 145:40:37] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=34.77/61.09, Error=65.23/38.91]
Epoch: [22][0/10010] Time 4.862 (4.862) Data 4.688 (4.688) Loss 3.5590 (3.5590) Prec@1 24.219 (24.219) Prec@5 51.562 (51.562)
Epoch: [22][200/10010] Time 0.396 (0.421) Data 0.000 (0.025) Loss 3.2298 (3.1869) Prec@1 34.375 (33.640) Prec@5 51.562 (58.077)
Epoch: [22][400/10010] Time 0.402 (0.410) Data 0.000 (0.013) Loss 3.3504 (3.1676) Prec@1 26.562 (34.071) Prec@5 56.250 (58.288)
Epoch: [22][600/10010] Time 0.398 (0.406) Data 0.000 (0.009) Loss 3.2602 (3.1604) Prec@1 35.156 (34.085) Prec@5 58.594 (58.587)
Epoch: [22][800/10010] Time 0.405 (0.404) Data 0.000 (0.007) Loss 3.1883 (3.1639) Prec@1 30.469 (34.014) Prec@5 56.250 (58.511)
Epoch: [22][1000/10010] Time 0.390 (0.403) Data 0.000 (0.005) Loss 3.3419 (3.1688) Prec@1 32.031 (33.939) Prec@5 53.125 (58.481)
Epoch: [22][1200/10010] Time 0.397 (0.402) Data 0.000 (0.005) Loss 3.1729 (3.1738) Prec@1 33.594 (33.907) Prec@5 57.031 (58.337)
Epoch: [22][1400/10010] Time 0.402 (0.402) Data 0.000 (0.004) Loss 3.2422 (3.1798) Prec@1 35.156 (33.753) Prec@5 54.688 (58.202)
Epoch: [22][1600/10010] Time 0.404 (0.402) Data 0.000 (0.004) Loss 3.2840 (3.1756) Prec@1 32.031 (33.785) Prec@5 58.594 (58.281)
Epoch: [22][1800/10010] Time 0.404 (0.401) Data 0.000 (0.003) Loss 3.1195 (3.1745) Prec@1 34.375 (33.814) Prec@5 59.375 (58.275)
Epoch: [22][2000/10010] Time 0.401 (0.401) Data 0.000 (0.003) Loss 2.8818 (3.1753) Prec@1 35.156 (33.747) Prec@5 59.375 (58.270)
Epoch: [22][2200/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 3.1972 (3.1748) Prec@1 33.594 (33.735) Prec@5 61.719 (58.270)
Epoch: [22][2400/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 2.7786 (3.1748) Prec@1 42.969 (33.737) Prec@5 69.531 (58.262)
Epoch: [22][2600/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 2.8391 (3.1757) Prec@1 33.594 (33.743) Prec@5 63.281 (58.252)
Epoch: [22][2800/10010] Time 0.397 (0.401) Data 0.000 (0.002) Loss 3.1719 (3.1761) Prec@1 34.375 (33.725) Prec@5 60.156 (58.225)
Epoch: [22][3000/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 3.1064 (3.1766) Prec@1 42.188 (33.721) Prec@5 57.031 (58.234)
Epoch: [22][3200/10010] Time 0.408 (0.400) Data 0.000 (0.002) Loss 3.3188 (3.1774) Prec@1 35.938 (33.714) Prec@5 56.250 (58.231)
Epoch: [22][3400/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 3.1189 (3.1778) Prec@1 36.719 (33.703) Prec@5 60.156 (58.215)
Epoch: [22][3600/10010] Time 0.396 (0.400) Data 0.001 (0.002) Loss 2.9192 (3.1777) Prec@1 38.281 (33.678) Prec@5 61.719 (58.227)
Epoch: [22][3800/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.8140 (3.1778) Prec@1 28.906 (33.685) Prec@5 50.000 (58.232)
Epoch: [22][4000/10010] Time 0.390 (0.400) Data 0.000 (0.002) Loss 2.9036 (3.1783) Prec@1 42.969 (33.669) Prec@5 64.844 (58.220)
Epoch: [22][4200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.1727 (3.1765) Prec@1 32.812 (33.690) Prec@5 59.375 (58.258)
Epoch: [22][4400/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.1183 (3.1759) Prec@1 37.500 (33.676) Prec@5 59.375 (58.276)
Epoch: [22][4600/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.1202 (3.1758) Prec@1 39.062 (33.677) Prec@5 60.156 (58.280)
Epoch: [22][4800/10010] Time 0.408 (0.400) Data 0.000 (0.002) Loss 3.2628 (3.1768) Prec@1 32.031 (33.658) Prec@5 54.688 (58.270)
Epoch: [22][5000/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 3.0958 (3.1776) Prec@1 36.719 (33.645) Prec@5 59.375 (58.251)
Epoch: [22][5200/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 3.5158 (3.1784) Prec@1 31.250 (33.629) Prec@5 51.562 (58.246)
Epoch: [22][5400/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 2.8077 (3.1792) Prec@1 34.375 (33.611) Prec@5 61.719 (58.232)
Epoch: [22][5600/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.1305 (3.1798) Prec@1 35.938 (33.610) Prec@5 64.844 (58.223)
Epoch: [22][5800/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 3.3375 (3.1799) Prec@1 34.375 (33.614) Prec@5 57.031 (58.227)
Epoch: [22][6000/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 3.3019 (3.1800) Prec@1 29.688 (33.605) Prec@5 54.688 (58.236)
Epoch: [22][6200/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 2.7671 (3.1808) Prec@1 38.281 (33.585) Prec@5 64.844 (58.222)
Epoch: [22][6400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.4997 (3.1815) Prec@1 22.656 (33.578) Prec@5 54.688 (58.213)
Epoch: [22][6600/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 2.9819 (3.1811) Prec@1 35.938 (33.569) Prec@5 59.375 (58.223)
Epoch: [22][6800/10010] Time 0.394 (0.400) Data 0.001 (0.001) Loss 3.3060 (3.1806) Prec@1 32.812 (33.574) Prec@5 53.906 (58.239)
Epoch: [22][7000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.0739 (3.1813) Prec@1 31.250 (33.560) Prec@5 64.062 (58.229)
Epoch: [22][7200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.8994 (3.1813) Prec@1 37.500 (33.552) Prec@5 63.281 (58.225)
Epoch: [22][7400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 3.0066 (3.1810) Prec@1 32.031 (33.556) Prec@5 57.812 (58.239)
Epoch: [22][7600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.9551 (3.1815) Prec@1 35.156 (33.553) Prec@5 61.719 (58.234)
Epoch: [22][7800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.9424 (3.1811) Prec@1 39.062 (33.556) Prec@5 60.938 (58.247)
Epoch: [22][8000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.1750 (3.1812) Prec@1 34.375 (33.554) Prec@5 57.031 (58.247)
Epoch: [22][8200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.1144 (3.1818) Prec@1 30.469 (33.544) Prec@5 59.375 (58.238)
Epoch: [22][8400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.2994 (3.1815) Prec@1 32.812 (33.545) Prec@5 55.469 (58.240)
Epoch: [22][8600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.2094 (3.1822) Prec@1 38.281 (33.543) Prec@5 60.156 (58.229)
Epoch: [22][8800/10010] Time 0.404 (0.399) Data 0.001 (0.001) Loss 3.2386 (3.1822) Prec@1 34.375 (33.545) Prec@5 57.031 (58.226)
Epoch: [22][9000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.0945 (3.1819) Prec@1 39.844 (33.546) Prec@5 58.594 (58.234)
Epoch: [22][9200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.3436 (3.1829) Prec@1 23.438 (33.528) Prec@5 52.344 (58.213)
Epoch: [22][9400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.1281 (3.1831) Prec@1 30.469 (33.532) Prec@5 60.938 (58.209)
Epoch: [22][9600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.1902 (3.1829) Prec@1 32.812 (33.537) Prec@5 60.156 (58.217)
Epoch: [22][9800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.0635 (3.1832) Prec@1 37.500 (33.529) Prec@5 58.594 (58.215)
Epoch: [22][10000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.3211 (3.1838) Prec@1 28.906 (33.513) Prec@5 51.562 (58.204)
Test: [0/391] Time 5.363 (5.363) Loss 2.4334 (2.4334) Prec@1 47.656 (47.656) Prec@5 72.656 (72.656)
Test: [200/391] Time 0.154 (0.246) Loss 4.0318 (3.0276) Prec@1 21.094 (33.551) Prec@5 46.875 (61.396)
* Prec@1 30.728 Prec@5 56.872 Loss@ 3.271
==>>[2018-06-21 14:10:41] [Epoch=023/150] [Need: 144:13:18] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=34.77/61.09, Error=65.23/38.91]
Epoch: [23][0/10010] Time 4.074 (4.074) Data 3.911 (3.911) Loss 3.3835 (3.3835) Prec@1 28.906 (28.906) Prec@5 51.562 (51.562)
Epoch: [23][200/10010] Time 0.404 (0.417) Data 0.000 (0.022) Loss 3.0234 (3.1742) Prec@1 34.375 (33.947) Prec@5 58.594 (58.481)
Epoch: [23][400/10010] Time 0.397 (0.408) Data 0.000 (0.011) Loss 3.0443 (3.1714) Prec@1 35.938 (33.892) Prec@5 60.156 (58.342)
Epoch: [23][600/10010] Time 0.403 (0.405) Data 0.000 (0.008) Loss 3.1475 (3.1731) Prec@1 30.469 (33.732) Prec@5 58.594 (58.331)
Epoch: [23][800/10010] Time 0.396 (0.403) Data 0.000 (0.006) Loss 3.1787 (3.1716) Prec@1 35.156 (33.719) Prec@5 58.594 (58.358)
Epoch: [23][1000/10010] Time 0.397 (0.402) Data 0.000 (0.005) Loss 3.6267 (3.1740) Prec@1 28.906 (33.662) Prec@5 54.688 (58.308)
Epoch: [23][1200/10010] Time 0.402 (0.402) Data 0.000 (0.004) Loss 2.9973 (3.1718) Prec@1 32.031 (33.734) Prec@5 64.062 (58.367)
Epoch: [23][1400/10010] Time 0.395 (0.401) Data 0.000 (0.004) Loss 3.3275 (3.1700) Prec@1 35.938 (33.733) Prec@5 55.469 (58.393)
Epoch: [23][1600/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 3.2025 (3.1759) Prec@1 28.906 (33.641) Prec@5 60.156 (58.281)
Epoch: [23][1800/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 2.6765 (3.1755) Prec@1 40.625 (33.633) Prec@5 65.625 (58.288)
Epoch: [23][2000/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 3.2717 (3.1743) Prec@1 34.375 (33.664) Prec@5 53.125 (58.323)
Epoch: [23][2200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.9982 (3.1738) Prec@1 40.625 (33.690) Prec@5 65.625 (58.310)
Epoch: [23][2400/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 3.0139 (3.1729) Prec@1 37.500 (33.728) Prec@5 64.844 (58.342)
Epoch: [23][2600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.3284 (3.1757) Prec@1 32.031 (33.646) Prec@5 52.344 (58.287)
Epoch: [23][2800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.3756 (3.1751) Prec@1 26.562 (33.641) Prec@5 55.469 (58.289)
Epoch: [23][3000/10010] Time 0.407 (0.400) Data 0.000 (0.002) Loss 3.2570 (3.1741) Prec@1 28.906 (33.648) Prec@5 57.812 (58.337)
Epoch: [23][3200/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.4139 (3.1752) Prec@1 32.812 (33.634) Prec@5 56.250 (58.320)
Epoch: [23][3400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.6748 (3.1751) Prec@1 32.031 (33.640) Prec@5 52.344 (58.331)
Epoch: [23][3600/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.2465 (3.1768) Prec@1 30.469 (33.608) Prec@5 57.031 (58.299)
Epoch: [23][3800/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 3.3674 (3.1773) Prec@1 28.125 (33.581) Prec@5 56.250 (58.294)
Epoch: [23][4000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.4033 (3.1778) Prec@1 32.031 (33.564) Prec@5 50.000 (58.295)
Epoch: [23][4200/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 3.4707 (3.1769) Prec@1 27.344 (33.589) Prec@5 48.438 (58.303)
Epoch: [23][4400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.4722 (3.1778) Prec@1 29.688 (33.594) Prec@5 53.125 (58.284)
Epoch: [23][4600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.2646 (3.1779) Prec@1 28.125 (33.594) Prec@5 52.344 (58.283)
Epoch: [23][4800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.9587 (3.1775) Prec@1 39.062 (33.588) Prec@5 64.062 (58.290)
Epoch: [23][5000/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 3.4120 (3.1774) Prec@1 30.469 (33.592) Prec@5 57.031 (58.303)
Epoch: [23][5200/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 3.2351 (3.1781) Prec@1 37.500 (33.583) Prec@5 57.031 (58.290)
Epoch: [23][5400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.9347 (3.1779) Prec@1 28.125 (33.591) Prec@5 60.938 (58.283)
Epoch: [23][5600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.9714 (3.1773) Prec@1 32.812 (33.593) Prec@5 58.594 (58.291)
Epoch: [23][5800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.8528 (3.1780) Prec@1 32.031 (33.583) Prec@5 63.281 (58.281)
Epoch: [23][6000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.3127 (3.1782) Prec@1 32.031 (33.568) Prec@5 57.031 (58.280)
Epoch: [23][6200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.9353 (3.1777) Prec@1 38.281 (33.579) Prec@5 64.062 (58.282)
Epoch: [23][6400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.1760 (3.1776) Prec@1 25.781 (33.573) Prec@5 56.250 (58.282)
Epoch: [23][6600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.1687 (3.1779) Prec@1 30.469 (33.567) Prec@5 55.469 (58.276)
Epoch: [23][6800/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 3.3774 (3.1779) Prec@1 26.562 (33.572) Prec@5 55.469 (58.273)
Epoch: [23][7000/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.2502 (3.1785) Prec@1 36.719 (33.568) Prec@5 58.594 (58.271)
Epoch: [23][7200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.4421 (3.1792) Prec@1 34.375 (33.561) Prec@5 53.125 (58.253)
Epoch: [23][7400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.0957 (3.1792) Prec@1 35.156 (33.564) Prec@5 60.156 (58.252)
Epoch: [23][7600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.7063 (3.1800) Prec@1 39.844 (33.546) Prec@5 68.750 (58.237)
Epoch: [23][7800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.9775 (3.1798) Prec@1 35.938 (33.538) Prec@5 61.719 (58.240)
Epoch: [23][8000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.3833 (3.1803) Prec@1 23.438 (33.535) Prec@5 50.781 (58.239)
Epoch: [23][8200/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 3.3841 (3.1805) Prec@1 29.688 (33.536) Prec@5 53.906 (58.234)
Epoch: [23][8400/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 2.8176 (3.1802) Prec@1 42.969 (33.542) Prec@5 62.500 (58.235)
Epoch: [23][8600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.9272 (3.1801) Prec@1 35.938 (33.552) Prec@5 61.719 (58.239)
Epoch: [23][8800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.9371 (3.1806) Prec@1 34.375 (33.543) Prec@5 59.375 (58.230)
Epoch: [23][9000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.2487 (3.1803) Prec@1 34.375 (33.542) Prec@5 61.719 (58.239)
Epoch: [23][9200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.7085 (3.1802) Prec@1 30.469 (33.543) Prec@5 50.781 (58.240)
Epoch: [23][9400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.0288 (3.1804) Prec@1 33.594 (33.544) Prec@5 59.375 (58.238)
Epoch: [23][9600/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.9127 (3.1804) Prec@1 34.375 (33.547) Prec@5 67.188 (58.241)
Epoch: [23][9800/10010] Time 0.424 (0.404) Data 0.000 (0.005) Loss 2.9801 (3.1802) Prec@1 32.812 (33.545) Prec@5 60.156 (58.248)
Epoch: [23][10000/10010] Time 0.393 (0.404) Data 0.000 (0.005) Loss 3.5253 (3.1801) Prec@1 34.375 (33.546) Prec@5 50.781 (58.245)
Test: [0/391] Time 8.862 (8.862) Loss 3.1888 (3.1888) Prec@1 35.938 (35.938) Prec@5 62.500 (62.500)
Test: [200/391] Time 0.166 (0.264) Loss 4.1016 (2.8538) Prec@1 19.531 (37.061) Prec@5 35.938 (64.475)
* Prec@1 33.542 Prec@5 58.834 Loss@ 3.173
==>>[2018-06-21 15:19:40] [Epoch=024/150] [Need: 144:51:12] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=34.77/61.09, Error=65.23/38.91]
Epoch: [24][0/10010] Time 5.253 (5.253) Data 5.091 (5.091) Loss 3.2525 (3.2525) Prec@1 35.156 (35.156) Prec@5 57.031 (57.031)
Epoch: [24][200/10010] Time 0.398 (0.422) Data 0.000 (0.026) Loss 3.3671 (3.1905) Prec@1 26.562 (33.139) Prec@5 55.469 (57.945)
Epoch: [24][400/10010] Time 0.394 (0.410) Data 0.000 (0.013) Loss 3.2381 (3.1876) Prec@1 28.125 (33.292) Prec@5 60.938 (58.091)
Epoch: [24][600/10010] Time 0.404 (0.406) Data 0.000 (0.009) Loss 2.8405 (3.1832) Prec@1 37.500 (33.462) Prec@5 61.719 (58.087)
Epoch: [24][800/10010] Time 0.405 (0.405) Data 0.000 (0.007) Loss 3.4267 (3.1724) Prec@1 26.562 (33.645) Prec@5 54.688 (58.261)
Epoch: [24][1000/10010] Time 0.396 (0.403) Data 0.000 (0.006) Loss 3.5753 (3.1686) Prec@1 28.125 (33.688) Prec@5 53.906 (58.318)
Epoch: [24][1200/10010] Time 0.399 (0.403) Data 0.000 (0.005) Loss 2.6291 (3.1674) Prec@1 42.969 (33.660) Prec@5 72.656 (58.359)
Epoch: [24][1400/10010] Time 0.396 (0.402) Data 0.000 (0.004) Loss 3.0718 (3.1693) Prec@1 39.062 (33.640) Prec@5 60.938 (58.363)
Epoch: [24][1600/10010] Time 0.406 (0.402) Data 0.000 (0.004) Loss 2.6946 (3.1688) Prec@1 41.406 (33.658) Prec@5 64.844 (58.368)
Epoch: [24][1800/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 2.9275 (3.1710) Prec@1 41.406 (33.632) Prec@5 63.281 (58.340)
Epoch: [24][2000/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 3.1150 (3.1711) Prec@1 31.250 (33.657) Prec@5 55.469 (58.374)
Epoch: [24][2200/10010] Time 0.393 (0.401) Data 0.000 (0.003) Loss 3.2472 (3.1719) Prec@1 36.719 (33.636) Prec@5 60.938 (58.377)
Epoch: [24][2400/10010] Time 0.403 (0.401) Data 0.000 (0.003) Loss 3.2929 (3.1724) Prec@1 32.812 (33.619) Prec@5 51.562 (58.384)
Epoch: [24][2600/10010] Time 0.406 (0.401) Data 0.000 (0.002) Loss 2.9465 (3.1744) Prec@1 32.031 (33.588) Prec@5 61.719 (58.369)
Epoch: [24][2800/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.3462 (3.1759) Prec@1 32.031 (33.567) Prec@5 58.594 (58.334)
Epoch: [24][3000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.2860 (3.1768) Prec@1 33.594 (33.557) Prec@5 53.906 (58.318)
Epoch: [24][3200/10010] Time 0.389 (0.400) Data 0.000 (0.002) Loss 2.9442 (3.1764) Prec@1 38.281 (33.555) Prec@5 57.812 (58.324)
Epoch: [24][3400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.1112 (3.1763) Prec@1 33.594 (33.559) Prec@5 59.375 (58.345)
Epoch: [24][3600/10010] Time 0.408 (0.400) Data 0.000 (0.002) Loss 3.1521 (3.1733) Prec@1 37.500 (33.581) Prec@5 60.938 (58.389)
Epoch: [24][3800/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.3754 (3.1736) Prec@1 32.031 (33.572) Prec@5 56.250 (58.389)
Epoch: [24][4000/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.0070 (3.1735) Prec@1 36.719 (33.582) Prec@5 60.938 (58.394)
Epoch: [24][4200/10010] Time 0.394 (0.400) Data 0.001 (0.002) Loss 2.9387 (3.1734) Prec@1 39.844 (33.577) Prec@5 63.281 (58.378)
Epoch: [24][4400/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 3.6281 (3.1745) Prec@1 29.688 (33.580) Prec@5 48.438 (58.360)
Epoch: [24][4600/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 3.0998 (3.1738) Prec@1 34.375 (33.579) Prec@5 62.500 (58.367)
Epoch: [24][4800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.1367 (3.1733) Prec@1 37.500 (33.596) Prec@5 61.719 (58.373)
Epoch: [24][5000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.2556 (3.1734) Prec@1 33.594 (33.581) Prec@5 54.688 (58.375)
Epoch: [24][5200/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 3.0311 (3.1742) Prec@1 34.375 (33.580) Prec@5 64.844 (58.369)
Epoch: [24][5400/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 3.3802 (3.1739) Prec@1 34.375 (33.597) Prec@5 55.469 (58.381)
Epoch: [24][5600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.5531 (3.1751) Prec@1 32.812 (33.577) Prec@5 56.250 (58.349)
Epoch: [24][5800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.2653 (3.1755) Prec@1 37.500 (33.584) Prec@5 57.812 (58.349)
Epoch: [24][6000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.3252 (3.1755) Prec@1 32.031 (33.584) Prec@5 53.906 (58.343)
Epoch: [24][6200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.0658 (3.1759) Prec@1 38.281 (33.579) Prec@5 59.375 (58.342)
Epoch: [24][6400/10010] Time 0.393 (0.400) Data 0.001 (0.001) Loss 3.1271 (3.1767) Prec@1 36.719 (33.565) Prec@5 58.594 (58.333)
Epoch: [24][6600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.1602 (3.1761) Prec@1 32.812 (33.570) Prec@5 60.938 (58.345)
Epoch: [24][6800/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 3.0830 (3.1763) Prec@1 31.250 (33.560) Prec@5 59.375 (58.341)
Epoch: [24][7000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 3.2702 (3.1771) Prec@1 32.812 (33.551) Prec@5 59.375 (58.319)
Epoch: [24][7200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.0851 (3.1769) Prec@1 40.625 (33.557) Prec@5 60.938 (58.325)
Epoch: [24][7400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.6942 (3.1767) Prec@1 32.812 (33.555) Prec@5 51.562 (58.326)
Epoch: [24][7600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.5098 (3.1763) Prec@1 32.812 (33.558) Prec@5 54.688 (58.335)
Epoch: [24][7800/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 2.8732 (3.1760) Prec@1 36.719 (33.569) Prec@5 62.500 (58.342)
Epoch: [24][8000/10010] Time 0.388 (0.399) Data 0.001 (0.001) Loss 3.2820 (3.1760) Prec@1 32.812 (33.573) Prec@5 52.344 (58.349)
Epoch: [24][8200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.3201 (3.1762) Prec@1 28.906 (33.572) Prec@5 55.469 (58.342)
Epoch: [24][8400/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 3.0446 (3.1768) Prec@1 34.375 (33.556) Prec@5 57.812 (58.341)
Epoch: [24][8600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.3261 (3.1769) Prec@1 30.469 (33.553) Prec@5 57.031 (58.335)
Epoch: [24][8800/10010] Time 0.404 (0.399) Data 0.001 (0.001) Loss 3.3631 (3.1773) Prec@1 27.344 (33.551) Prec@5 58.594 (58.326)
Epoch: [24][9000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 3.2753 (3.1770) Prec@1 33.594 (33.558) Prec@5 51.562 (58.331)
Epoch: [24][9200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.2634 (3.1768) Prec@1 35.156 (33.563) Prec@5 57.812 (58.333)
Epoch: [24][9400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.1510 (3.1767) Prec@1 33.594 (33.558) Prec@5 62.500 (58.333)
Epoch: [24][9600/10010] Time 0.382 (0.399) Data 0.000 (0.001) Loss 3.4984 (3.1773) Prec@1 26.562 (33.547) Prec@5 52.344 (58.322)
Epoch: [24][9800/10010] Time 0.409 (0.399) Data 0.000 (0.001) Loss 3.3288 (3.1778) Prec@1 31.250 (33.536) Prec@5 56.250 (58.313)
Epoch: [24][10000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.7917 (3.1773) Prec@1 39.844 (33.547) Prec@5 62.500 (58.321)
Test: [0/391] Time 5.160 (5.160) Loss 2.2660 (2.2660) Prec@1 46.094 (46.094) Prec@5 77.344 (77.344)
Test: [200/391] Time 0.158 (0.251) Loss 3.7950 (2.8090) Prec@1 21.094 (36.474) Prec@5 50.000 (64.941)
* Prec@1 33.796 Prec@5 60.536 Loss@ 3.061
==>>[2018-06-21 16:27:50] [Epoch=025/150] [Need: 142:01:59] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=34.77/61.09, Error=65.23/38.91]
Epoch: [25][0/10010] Time 4.276 (4.276) Data 4.111 (4.111) Loss 3.1927 (3.1927) Prec@1 33.594 (33.594) Prec@5 58.594 (58.594)
Epoch: [25][200/10010] Time 0.411 (0.418) Data 0.000 (0.023) Loss 2.8538 (3.1468) Prec@1 36.719 (33.757) Prec@5 60.938 (58.835)
Epoch: [25][400/10010] Time 0.399 (0.408) Data 0.000 (0.012) Loss 2.8417 (3.1653) Prec@1 35.156 (33.619) Prec@5 61.719 (58.586)
Epoch: [25][600/10010] Time 0.397 (0.405) Data 0.000 (0.008) Loss 3.0809 (3.1640) Prec@1 34.375 (33.629) Prec@5 60.938 (58.530)
Epoch: [25][800/10010] Time 0.404 (0.403) Data 0.000 (0.006) Loss 3.4884 (3.1618) Prec@1 24.219 (33.712) Prec@5 54.688 (58.550)
Epoch: [25][1000/10010] Time 0.393 (0.402) Data 0.000 (0.005) Loss 3.0055 (3.1647) Prec@1 35.938 (33.720) Prec@5 62.500 (58.536)
Epoch: [25][1200/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 3.3737 (3.1600) Prec@1 28.125 (33.788) Prec@5 58.594 (58.598)
Epoch: [25][1400/10010] Time 0.402 (0.401) Data 0.000 (0.004) Loss 2.9866 (3.1613) Prec@1 35.156 (33.776) Prec@5 63.281 (58.594)
Epoch: [25][1600/10010] Time 0.392 (0.401) Data 0.000 (0.003) Loss 3.0640 (3.1646) Prec@1 33.594 (33.691) Prec@5 60.156 (58.512)
Epoch: [25][1800/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 3.1228 (3.1642) Prec@1 35.156 (33.718) Prec@5 55.469 (58.568)
Epoch: [25][2000/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.7965 (3.1647) Prec@1 41.406 (33.684) Prec@5 64.062 (58.559)
Epoch: [25][2200/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 2.9149 (3.1628) Prec@1 39.844 (33.717) Prec@5 61.719 (58.589)
Epoch: [25][2400/10010] Time 0.414 (0.400) Data 0.000 (0.002) Loss 3.3113 (3.1635) Prec@1 31.250 (33.727) Prec@5 55.469 (58.554)
Epoch: [25][2600/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 3.3297 (3.1638) Prec@1 32.031 (33.715) Prec@5 56.250 (58.513)
Epoch: [25][2800/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 3.0426 (3.1636) Prec@1 29.688 (33.726) Prec@5 64.062 (58.500)
Epoch: [25][3000/10010] Time 0.396 (0.400) Data 0.001 (0.002) Loss 3.0081 (3.1644) Prec@1 32.031 (33.699) Prec@5 61.719 (58.469)
Epoch: [25][3200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.1294 (3.1638) Prec@1 35.156 (33.712) Prec@5 56.250 (58.459)
Epoch: [25][3400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.1051 (3.1630) Prec@1 35.156 (33.722) Prec@5 57.812 (58.483)
Epoch: [25][3600/10010] Time 0.399 (0.400) Data 0.001 (0.002) Loss 3.1131 (3.1643) Prec@1 32.031 (33.720) Prec@5 61.719 (58.477)
Epoch: [25][3800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.1707 (3.1647) Prec@1 39.844 (33.724) Prec@5 57.031 (58.460)
Epoch: [25][4000/10010] Time 0.391 (0.400) Data 0.000 (0.002) Loss 3.0876 (3.1654) Prec@1 37.500 (33.719) Prec@5 57.812 (58.444)
Epoch: [25][4200/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 3.2004 (3.1660) Prec@1 32.812 (33.711) Prec@5 53.125 (58.427)
Epoch: [25][4400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.4502 (3.1665) Prec@1 33.594 (33.716) Prec@5 57.031 (58.406)
Epoch: [25][4600/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 2.9800 (3.1669) Prec@1 37.500 (33.692) Prec@5 58.594 (58.395)
Epoch: [25][4800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.3392 (3.1678) Prec@1 31.250 (33.688) Prec@5 56.250 (58.391)
Epoch: [25][5000/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 2.9097 (3.1683) Prec@1 41.406 (33.690) Prec@5 60.938 (58.387)
Epoch: [25][5200/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 3.3907 (3.1702) Prec@1 28.125 (33.662) Prec@5 57.812 (58.356)
Epoch: [25][5400/10010] Time 0.391 (0.400) Data 0.000 (0.001) Loss 3.0734 (3.1707) Prec@1 37.500 (33.659) Prec@5 61.719 (58.362)
Epoch: [25][5600/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 3.4191 (3.1708) Prec@1 29.688 (33.665) Prec@5 53.906 (58.361)
Epoch: [25][5800/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 2.8248 (3.1722) Prec@1 40.625 (33.656) Prec@5 62.500 (58.345)
Epoch: [25][6000/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 3.1999 (3.1725) Prec@1 30.469 (33.655) Prec@5 54.688 (58.338)
Epoch: [25][6200/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 3.5255 (3.1731) Prec@1 31.250 (33.640) Prec@5 54.688 (58.342)
Epoch: [25][6400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.2156 (3.1734) Prec@1 32.812 (33.639) Prec@5 57.031 (58.351)
Epoch: [25][6600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.1840 (3.1736) Prec@1 39.062 (33.645) Prec@5 57.812 (58.349)
Epoch: [25][6800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.3007 (3.1739) Prec@1 33.594 (33.647) Prec@5 55.469 (58.355)
Epoch: [25][7000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.3241 (3.1743) Prec@1 27.344 (33.637) Prec@5 54.688 (58.343)
Epoch: [25][7200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.2785 (3.1745) Prec@1 28.906 (33.643) Prec@5 57.812 (58.345)
Epoch: [25][7400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.5708 (3.1749) Prec@1 25.781 (33.632) Prec@5 45.312 (58.339)
Epoch: [25][7600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.4278 (3.1747) Prec@1 27.344 (33.631) Prec@5 51.562 (58.341)
Epoch: [25][7800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.3651 (3.1745) Prec@1 28.125 (33.633) Prec@5 57.812 (58.344)
Epoch: [25][8000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.1222 (3.1748) Prec@1 32.031 (33.629) Prec@5 54.688 (58.339)
Epoch: [25][8200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.4220 (3.1752) Prec@1 29.688 (33.629) Prec@5 50.000 (58.329)
Epoch: [25][8400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.1571 (3.1753) Prec@1 32.812 (33.627) Prec@5 62.500 (58.330)
Epoch: [25][8600/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 3.0660 (3.1750) Prec@1 34.375 (33.638) Prec@5 62.500 (58.338)
Epoch: [25][8800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.1803 (3.1747) Prec@1 32.031 (33.636) Prec@5 55.469 (58.335)
Epoch: [25][9000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.2248 (3.1752) Prec@1 31.250 (33.630) Prec@5 58.594 (58.335)
Epoch: [25][9200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.3499 (3.1754) Prec@1 32.031 (33.626) Prec@5 53.125 (58.338)
Epoch: [25][9400/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 3.3447 (3.1755) Prec@1 32.031 (33.622) Prec@5 56.250 (58.341)
Epoch: [25][9600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 3.4753 (3.1753) Prec@1 33.594 (33.622) Prec@5 58.594 (58.343)
Epoch: [25][9800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.1560 (3.1747) Prec@1 31.250 (33.626) Prec@5 62.500 (58.355)
Epoch: [25][10000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.1987 (3.1748) Prec@1 33.594 (33.622) Prec@5 57.031 (58.353)
Test: [0/391] Time 4.684 (4.684) Loss 2.2067 (2.2067) Prec@1 54.688 (54.688) Prec@5 76.562 (76.562)
Test: [200/391] Time 0.147 (0.249) Loss 4.1439 (2.9028) Prec@1 17.188 (35.452) Prec@5 38.281 (63.145)
* Prec@1 32.064 Prec@5 58.168 Loss@ 3.215
==>>[2018-06-21 17:36:00] [Epoch=026/150] [Need: 140:52:34] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=34.77/61.09, Error=65.23/38.91]
Epoch: [26][0/10010] Time 4.146 (4.146) Data 3.979 (3.979) Loss 3.3464 (3.3464) Prec@1 30.469 (30.469) Prec@5 60.938 (60.938)
Epoch: [26][200/10010] Time 0.409 (0.418) Data 0.000 (0.023) Loss 3.2961 (3.1736) Prec@1 25.781 (33.590) Prec@5 60.156 (58.512)
Epoch: [26][400/10010] Time 0.396 (0.408) Data 0.000 (0.011) Loss 3.0684 (3.1745) Prec@1 35.156 (33.586) Prec@5 59.375 (58.518)
Epoch: [26][600/10010] Time 0.404 (0.405) Data 0.000 (0.008) Loss 3.2435 (3.1624) Prec@1 30.469 (33.712) Prec@5 56.250 (58.673)
Epoch: [26][800/10010] Time 0.400 (0.404) Data 0.000 (0.006) Loss 2.8828 (3.1607) Prec@1 35.938 (33.743) Prec@5 60.938 (58.650)
Epoch: [26][1000/10010] Time 0.393 (0.403) Data 0.000 (0.005) Loss 3.3306 (3.1573) Prec@1 36.719 (33.803) Prec@5 59.375 (58.734)
Epoch: [26][1200/10010] Time 0.394 (0.402) Data 0.000 (0.004) Loss 3.0554 (3.1576) Prec@1 35.156 (33.793) Prec@5 60.156 (58.745)
Epoch: [26][1400/10010] Time 0.401 (0.402) Data 0.000 (0.004) Loss 3.0265 (3.1586) Prec@1 34.375 (33.780) Prec@5 63.281 (58.708)
Epoch: [26][1600/10010] Time 0.416 (0.401) Data 0.000 (0.003) Loss 3.1107 (3.1598) Prec@1 30.469 (33.753) Prec@5 56.250 (58.643)
Epoch: [26][1800/10010] Time 0.403 (0.401) Data 0.000 (0.003) Loss 3.0535 (3.1616) Prec@1 39.062 (33.750) Prec@5 60.938 (58.631)
Epoch: [26][2000/10010] Time 0.404 (0.401) Data 0.000 (0.003) Loss 3.3468 (3.1622) Prec@1 32.812 (33.754) Prec@5 59.375 (58.601)
Epoch: [26][2200/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 3.0618 (3.1617) Prec@1 35.156 (33.784) Prec@5 59.375 (58.609)
Epoch: [26][2400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.1998 (3.1598) Prec@1 33.594 (33.847) Prec@5 60.156 (58.664)
Epoch: [26][2600/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 3.2220 (3.1596) Prec@1 33.594 (33.839) Prec@5 63.281 (58.650)
Epoch: [26][2800/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.9666 (3.1620) Prec@1 36.719 (33.793) Prec@5 64.062 (58.589)
Epoch: [26][3000/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.4536 (3.1623) Prec@1 28.125 (33.770) Prec@5 55.469 (58.591)
Epoch: [26][3200/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.0629 (3.1642) Prec@1 36.719 (33.757) Prec@5 64.844 (58.552)
Epoch: [26][3400/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 3.2005 (3.1644) Prec@1 32.812 (33.770) Prec@5 57.812 (58.570)
Epoch: [26][3600/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.5749 (3.1644) Prec@1 28.125 (33.765) Prec@5 50.781 (58.568)
Epoch: [26][3800/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 3.2944 (3.1650) Prec@1 33.594 (33.766) Prec@5 60.938 (58.563)
Epoch: [26][4000/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.0618 (3.1663) Prec@1 34.375 (33.754) Prec@5 62.500 (58.526)
Epoch: [26][4200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 3.1158 (3.1667) Prec@1 32.812 (33.768) Prec@5 59.375 (58.526)
Epoch: [26][4400/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 2.9148 (3.1668) Prec@1 41.406 (33.763) Prec@5 64.062 (58.528)
Epoch: [26][4600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 3.0077 (3.1669) Prec@1 38.281 (33.739) Prec@5 58.594 (58.535)
Epoch: [26][4800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.8064 (3.1671) Prec@1 36.719 (33.736) Prec@5 64.844 (58.535)
Epoch: [26][5000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 3.4226 (3.1676) Prec@1 28.125 (33.730) Prec@5 52.344 (58.540)
Epoch: [26][5200/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 3.2914 (3.1673) Prec@1 33.594 (33.733) Prec@5 62.500 (58.536)
Epoch: [26][5400/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.2221 (3.1672) Prec@1 35.156 (33.735) Prec@5 59.375 (58.537)
Epoch: [26][5600/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 3.2240 (3.1677) Prec@1 32.031 (33.738) Prec@5 53.906 (58.524)
Epoch: [26][5800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 3.4734 (3.1680) Prec@1 26.562 (33.725) Prec@5 49.219 (58.514)
Epoch: [26][6000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.0697 (3.1685) Prec@1 35.156 (33.718) Prec@5 56.250 (58.495)
Epoch: [26][6200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 3.4246 (3.1680) Prec@1 28.906 (33.723) Prec@5 51.562 (58.504)
Epoch: [26][6400/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 3.3652 (3.1681) Prec@1 33.594 (33.710) Prec@5 53.125 (58.506)
Epoch: [26][6600/10010] Time 0.398 (0.400) Data 0.001 (0.001) Loss 3.0394 (3.1672) Prec@1 30.469 (33.720) Prec@5 60.156 (58.524)
Epoch: [26][6800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.1631 (3.1675) Prec@1 32.031 (33.711) Prec@5 59.375 (58.514)
Epoch: [26][7000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.1143 (3.1676) Prec@1 29.688 (33.716) Prec@5 59.375 (58.511)
Epoch: [26][7200/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 3.4836 (3.1679) Prec@1 29.688 (33.712) Prec@5 54.688 (58.513)
Epoch: [26][7400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.1923 (3.1681) Prec@1 35.938 (33.708) Prec@5 58.594 (58.510)
Epoch: [26][7600/10010] Time 0.411 (0.400) Data 0.000 (0.001) Loss 3.1373 (3.1679) Prec@1 31.250 (33.719) Prec@5 60.156 (58.512)
Epoch: [26][7800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 3.4168 (3.1680) Prec@1 25.781 (33.711) Prec@5 48.438 (58.516)
Epoch: [26][8000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.9341 (3.1679) Prec@1 37.500 (33.716) Prec@5 60.156 (58.516)
Epoch: [26][8200/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 3.2902 (3.1690) Prec@1 33.594 (33.694) Prec@5 59.375 (58.493)
Epoch: [26][8400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.8575 (3.1692) Prec@1 42.969 (33.690) Prec@5 64.062 (58.488)
Epoch: [26][8600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.9421 (3.1690) Prec@1 32.031 (33.690) Prec@5 61.719 (58.492)
Epoch: [26][8800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.1966 (3.1697) Prec@1 34.375 (33.683) Prec@5 57.812 (58.480)
Epoch: [26][9000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.7173 (3.1699) Prec@1 39.062 (33.684) Prec@5 70.312 (58.482)
Epoch: [26][9200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.9442 (3.1695) Prec@1 36.719 (33.692) Prec@5 62.500 (58.487)
Epoch: [26][9400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.9926 (3.1694) Prec@1 37.500 (33.696) Prec@5 57.812 (58.485)
Epoch: [26][9600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 3.4317 (3.1695) Prec@1 29.688 (33.702) Prec@5 57.812 (58.484)
Epoch: [26][9800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.4465 (3.1698) Prec@1 26.562 (33.699) Prec@5 53.906 (58.481)
Epoch: [26][10000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.9969 (3.1698) Prec@1 32.031 (33.690) Prec@5 54.688 (58.485)
Test: [0/391] Time 4.560 (4.560) Loss 1.6276 (1.6276) Prec@1 60.938 (60.938) Prec@5 85.156 (85.156)
Test: [200/391] Time 0.140 (0.252) Loss 3.8160 (2.9906) Prec@1 21.094 (34.830) Prec@5 44.531 (62.201)
* Prec@1 30.890 Prec@5 56.642 Loss@ 3.296
==>>[2018-06-21 18:44:12] [Epoch=027/150] [Need: 139:47:35] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=34.77/61.09, Error=65.23/38.91]
Epoch: [27][0/10010] Time 5.038 (5.038) Data 4.874 (4.874) Loss 3.2288 (3.2288) Prec@1 32.031 (32.031) Prec@5 54.688 (54.688)
Epoch: [27][200/10010] Time 0.404 (0.421) Data 0.000 (0.027) Loss 3.1331 (3.1680) Prec@1 29.688 (33.489) Prec@5 60.156 (58.302)
Epoch: [27][400/10010] Time 0.388 (0.410) Data 0.000 (0.014) Loss 3.1089 (3.1505) Prec@1 34.375 (33.931) Prec@5 57.812 (58.835)
Epoch: [27][600/10010] Time 0.400 (0.406) Data 0.000 (0.009) Loss 3.1801 (3.1512) Prec@1 34.375 (33.975) Prec@5 58.594 (58.860)
Epoch: [27][800/10010] Time 0.406 (0.404) Data 0.000 (0.007) Loss 3.0797 (3.1481) Prec@1 39.844 (33.939) Prec@5 63.281 (58.919)
Epoch: [27][1000/10010] Time 0.392 (0.403) Data 0.000 (0.006) Loss 3.0821 (3.1503) Prec@1 32.812 (33.967) Prec@5 60.156 (58.862)
Epoch: [27][1200/10010] Time 0.397 (0.402) Data 0.000 (0.005) Loss 3.2830 (3.1498) Prec@1 27.344 (33.939) Prec@5 59.375 (58.814)
Epoch: [27][1400/10010] Time 0.390 (0.402) Data 0.000 (0.004) Loss 3.6303 (3.1505) Prec@1 28.906 (33.930) Prec@5 46.875 (58.849)
Epoch: [27][1600/10010] Time 0.399 (0.402) Data 0.000 (0.004) Loss 2.8893 (3.1518) Prec@1 43.750 (33.944) Prec@5 65.625 (58.808)
Epoch: [27][1800/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 2.8995 (3.1514) Prec@1 42.969 (33.971) Prec@5 63.281 (58.805)
Epoch: [27][2000/10010] Time 0.407 (0.401) Data 0.000 (0.003) Loss 3.2856 (3.1533) Prec@1 28.125 (33.924) Prec@5 53.906 (58.738)
Epoch: [27][2200/10010] Time 0.394 (0.401) Data 0.000 (0.003) Loss 3.5389 (3.1560) Prec@1 30.469 (33.868) Prec@5 55.469 (58.717)
Epoch: [27][2400/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 3.1938 (3.1580) Prec@1 30.469 (33.854) Prec@5 58.594 (58.694)
Epoch: [27][2600/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 3.0443 (3.1575) Prec@1 34.375 (33.840) Prec@5 60.156 (58.722)
Epoch: [27][2800/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 3.0192 (3.1584) Prec@1 35.938 (33.841) Prec@5 61.719 (58.684)
Epoch: [27][3000/10010] Time 0.399 (0.400) Data 0.001 (0.002) Loss 2.9092 (3.1606) Prec@1 35.938 (33.813) Prec@5 64.062 (58.641)
Epoch: [27][3200/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.6352 (3.1595) Prec@1 28.906 (33.826) Prec@5 53.125 (58.668)
Epoch: [27][3400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 3.5794 (3.1594) Prec@1 27.344 (33.833) Prec@5 52.344 (58.692)
Epoch: [27][3600/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 3.1748 (3.1594) Prec@1 35.938 (33.832) Prec@5 60.156 (58.675)
Epoch: [27][3800/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 3.1394 (3.1604) Prec@1 28.906 (33.818) Prec@5 59.375 (58.664)
Epoch: [27][4000/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.8559 (3.1606) Prec@1 39.844 (33.836) Prec@5 64.844 (58.656)
Epoch: [27][4200/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 3.2654 (3.1604) Prec@1 36.719 (33.836) Prec@5 57.812 (58.662)
Epoch: [27][4400/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 2.9980 (3.1597) Prec@1 34.375 (33.859) Prec@5 61.719 (58.681)
Epoch: [27][4600/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 3.0111 (3.1602) Prec@1 35.156 (33.855) Prec@5 57.812 (58.668)
Epoch: [27][4800/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 3.5443 (3.1592) Prec@1 32.812 (33.877) Prec@5 49.219 (58.686)
Epoch: [27][5000/10010] Time 0.403 (0.400) Data 0.001 (0.002) Loss 3.2983 (3.1599) Prec@1 31.250 (33.857) Prec@5 57.031 (58.667)
Epoch: [27][5200/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.3100 (3.1611) Prec@1 34.375 (33.836) Prec@5 55.469 (58.647)
Epoch: [27][5400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.5656 (3.1624) Prec@1 29.688 (33.820) Prec@5 50.781 (58.618)
Epoch: [27][5600/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 3.3090 (3.1629) Prec@1 33.594 (33.810) Prec@5 62.500 (58.612)
Epoch: [27][5800/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 2.8463 (3.1628) Prec@1 39.062 (33.818) Prec@5 64.062 (58.603)
Epoch: [27][6000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 3.6160 (3.1636) Prec@1 28.125 (33.804) Prec@5 42.188 (58.595)
Epoch: [27][6200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 3.2557 (3.1644) Prec@1 34.375 (33.804) Prec@5 57.812 (58.579)
Epoch: [27][6400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 3.1921 (3.1652) Prec@1 32.031 (33.799) Prec@5 62.500 (58.566)
Epoch: [27][6600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.1985 (3.1657) Prec@1 30.469 (33.782) Prec@5 54.688 (58.560)
Epoch: [27][6800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.4078 (3.1659) Prec@1 32.812 (33.790) Prec@5 57.031 (58.552)
Epoch: [27][7000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.5582 (3.1654) Prec@1 25.781 (33.793) Prec@5 50.781 (58.576)
Epoch: [27][7200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.0090 (3.1655) Prec@1 35.938 (33.788) Prec@5 59.375 (58.578)
Epoch: [27][7400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.0736 (3.1657) Prec@1 39.062 (33.783) Prec@5 63.281 (58.578)
Epoch: [27][7600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.4259 (3.1660) Prec@1 28.125 (33.786) Prec@5 54.688 (58.567)
Epoch: [27][7800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.1144 (3.1661) Prec@1 30.469 (33.781) Prec@5 57.031 (58.563)
Epoch: [27][8000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.1185 (3.1665) Prec@1 33.594 (33.774) Prec@5 57.812 (58.564)
Epoch: [27][8200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.8940 (3.1669) Prec@1 38.281 (33.759) Prec@5 64.844 (58.556)
Epoch: [27][8400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.9943 (3.1669) Prec@1 35.156 (33.765) Prec@5 58.594 (58.561)
Epoch: [27][8600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.0200 (3.1669) Prec@1 40.625 (33.775) Prec@5 59.375 (58.560)
Epoch: [27][8800/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 3.7639 (3.1673) Prec@1 23.438 (33.774) Prec@5 50.000 (58.552)
Epoch: [27][9000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.0962 (3.1674) Prec@1 39.062 (33.779) Prec@5 64.062 (58.544)
Epoch: [27][9200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.9431 (3.1682) Prec@1 41.406 (33.773) Prec@5 66.406 (58.534)
Epoch: [27][9400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.1331 (3.1682) Prec@1 38.281 (33.769) Prec@5 60.156 (58.534)
Epoch: [27][9600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.0533 (3.1686) Prec@1 35.156 (33.768) Prec@5 64.062 (58.524)
Epoch: [27][9800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.2066 (3.1691) Prec@1 37.500 (33.763) Prec@5 56.250 (58.510)
Epoch: [27][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.1672 (3.1691) Prec@1 35.938 (33.762) Prec@5 57.031 (58.509)
Test: [0/391] Time 4.774 (4.774) Loss 1.6388 (1.6388) Prec@1 59.375 (59.375) Prec@5 85.156 (85.156)
Test: [200/391] Time 0.153 (0.259) Loss 2.9257 (2.7003) Prec@1 36.719 (38.938) Prec@5 59.375 (66.927)
* Prec@1 35.258 Prec@5 61.686 Loss@ 2.992
==>>[2018-06-21 19:52:24] [Epoch=028/150] [Need: 138:40:52] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=35.26/61.69, Error=64.74/38.31]
Epoch: [28][0/10010] Time 4.687 (4.687) Data 4.528 (4.528) Loss 3.2352 (3.2352) Prec@1 32.812 (32.812) Prec@5 58.594 (58.594)
Epoch: [28][200/10010] Time 0.404 (0.419) Data 0.000 (0.023) Loss 3.1303 (3.1712) Prec@1 35.938 (33.283) Prec@5 58.594 (58.399)
Epoch: [28][400/10010] Time 0.400 (0.409) Data 0.000 (0.012) Loss 3.4265 (3.1603) Prec@1 39.062 (33.644) Prec@5 51.562 (58.713)
Epoch: [28][600/10010] Time 0.397 (0.405) Data 0.000 (0.008) Loss 2.6010 (3.1500) Prec@1 42.969 (33.839) Prec@5 68.750 (58.774)
Epoch: [28][800/10010] Time 0.396 (0.403) Data 0.000 (0.006) Loss 2.9050 (3.1510) Prec@1 36.719 (33.942) Prec@5 61.719 (58.801)
Epoch: [28][1000/10010] Time 0.405 (0.402) Data 0.000 (0.005) Loss 3.3708 (3.1533) Prec@1 28.125 (33.908) Prec@5 50.781 (58.771)
Epoch: [28][1200/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 3.1244 (3.1577) Prec@1 36.719 (33.881) Prec@5 57.812 (58.669)
Epoch: [28][1400/10010] Time 0.400 (0.401) Data 0.000 (0.004) Loss 3.1188 (3.1598) Prec@1 33.594 (33.823) Prec@5 60.938 (58.660)
Epoch: [28][1600/10010] Time 0.388 (0.401) Data 0.001 (0.003) Loss 3.6188 (3.1612) Prec@1 25.000 (33.819) Prec@5 50.781 (58.598)
Epoch: [28][1800/10010] Time 0.395 (0.400) Data 0.000 (0.003) Loss 3.4398 (3.1615) Prec@1 36.719 (33.823) Prec@5 52.344 (58.601)
Epoch: [28][2000/10010] Time 0.393 (0.400) Data 0.000 (0.003) Loss 2.8288 (3.1630) Prec@1 36.719 (33.812) Prec@5 57.812 (58.575)
Epoch: [28][2200/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 3.2018 (3.1617) Prec@1 39.844 (33.847) Prec@5 60.938 (58.615)
Epoch: [28][2400/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 3.5254 (3.1617) Prec@1 32.031 (33.871) Prec@5 53.125 (58.626)
Epoch: [28][2600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 3.1095 (3.1591) Prec@1 28.906 (33.908) Prec@5 62.500 (58.691)
Epoch: [28][2800/10010] Time 0.403 (0.400) Data 0.001 (0.002) Loss 3.4484 (3.1605) Prec@1 30.469 (33.880) Prec@5 53.906 (58.634)
Epoch: [28][3000/10010] Time 0.402 (0.399) Data 0.000 (0.002) Loss 3.0483 (3.1596) Prec@1 32.812 (33.902) Prec@5 61.719 (58.673)
Epoch: [28][3200/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 3.2728 (3.1606) Prec@1 36.719 (33.874) Prec@5 57.031 (58.655)
Epoch: [28][3400/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 3.1907 (3.1619) Prec@1 33.594 (33.854) Prec@5 59.375 (58.630)
Epoch: [28][3600/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 3.2761 (3.1625) Prec@1 32.031 (33.847) Prec@5 57.812 (58.619)
Epoch: [28][3800/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 3.1219 (3.1643) Prec@1 31.250 (33.799) Prec@5 62.500 (58.589)
Epoch: [28][4000/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 3.0303 (3.1649) Prec@1 35.156 (33.769) Prec@5 57.812 (58.566)
Epoch: [28][4200/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 3.5432 (3.1654) Prec@1 28.906 (33.774) Prec@5 51.562 (58.544)
Epoch: [28][4400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.0599 (3.1647) Prec@1 34.375 (33.792) Prec@5 57.812 (58.550)
Epoch: [28][4600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.3674 (3.1639) Prec@1 34.375 (33.799) Prec@5 55.469 (58.554)
Epoch: [28][4800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 3.4383 (3.1639) Prec@1 24.219 (33.794) Prec@5 51.562 (58.537)
Epoch: [28][5000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.1074 (3.1637) Prec@1 32.812 (33.791) Prec@5 59.375 (58.536)
Epoch: [28][5200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.2205 (3.1638) Prec@1 32.812 (33.788) Prec@5 58.594 (58.535)
Epoch: [28][5400/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 2.6629 (3.1643) Prec@1 40.625 (33.785) Prec@5 64.844 (58.538)
Epoch: [28][5600/10010] Time 0.411 (0.399) Data 0.000 (0.001) Loss 2.9065 (3.1635) Prec@1 40.625 (33.805) Prec@5 64.062 (58.552)
Epoch: [28][5800/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 3.0709 (3.1634) Prec@1 39.062 (33.808) Prec@5 60.938 (58.551)
Epoch: [28][6000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.9442 (3.1637) Prec@1 42.188 (33.815) Prec@5 64.062 (58.558)
Epoch: [28][6200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.4463 (3.1644) Prec@1 28.125 (33.798) Prec@5 46.094 (58.537)
Epoch: [28][6400/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 3.1230 (3.1642) Prec@1 39.062 (33.802) Prec@5 60.938 (58.536)
Epoch: [28][6600/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.8844 (3.1640) Prec@1 36.719 (33.813) Prec@5 63.281 (58.537)
Epoch: [28][6800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.4264 (3.1641) Prec@1 28.906 (33.804) Prec@5 50.000 (58.529)
Epoch: [28][7000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.1492 (3.1642) Prec@1 33.594 (33.811) Prec@5 60.156 (58.529)
Epoch: [28][7200/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.9487 (3.1650) Prec@1 34.375 (33.798) Prec@5 65.625 (58.516)
Epoch: [28][7400/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 2.9497 (3.1656) Prec@1 37.500 (33.794) Prec@5 64.062 (58.507)
Epoch: [28][7600/10010] Time 0.412 (0.399) Data 0.000 (0.001) Loss 3.3064 (3.1653) Prec@1 28.906 (33.788) Prec@5 57.812 (58.516)
Epoch: [28][7800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 3.1615 (3.1644) Prec@1 37.500 (33.804) Prec@5 57.812 (58.527)
Epoch: [28][8000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 3.0671 (3.1645) Prec@1 35.156 (33.796) Prec@5 60.156 (58.527)
Epoch: [28][8200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.3134 (3.1645) Prec@1 26.562 (33.792) Prec@5 59.375 (58.522)
Epoch: [28][8400/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.9542 (3.1644) Prec@1 35.156 (33.784) Prec@5 57.812 (58.529)
Epoch: [28][8600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.2851 (3.1652) Prec@1 31.250 (33.767) Prec@5 58.594 (58.520)
Epoch: [28][8800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 3.3287 (3.1655) Prec@1 27.344 (33.762) Prec@5 59.375 (58.519)
Epoch: [28][9000/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 3.0983 (3.1660) Prec@1 32.031 (33.757) Prec@5 62.500 (58.502)
Epoch: [28][9200/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 3.6194 (3.1661) Prec@1 30.469 (33.755) Prec@5 54.688 (58.504)
Epoch: [28][9400/10010] Time 0.394 (0.398) Data 0.000 (0.001) Loss 3.2208 (3.1665) Prec@1 37.500 (33.754) Prec@5 55.469 (58.501)
Epoch: [28][9600/10010] Time 0.403 (0.398) Data 0.000 (0.001) Loss 3.2345 (3.1668) Prec@1 31.250 (33.743) Prec@5 60.938 (58.499)
Epoch: [28][9800/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 3.6702 (3.1671) Prec@1 25.781 (33.738) Prec@5 43.750 (58.491)
Epoch: [28][10000/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 3.2558 (3.1673) Prec@1 32.812 (33.734) Prec@5 58.594 (58.489)
Test: [0/391] Time 4.488 (4.488) Loss 1.9102 (1.9102) Prec@1 55.469 (55.469) Prec@5 77.344 (77.344)
Test: [200/391] Time 0.138 (0.247) Loss 2.4593 (2.7615) Prec@1 50.000 (38.332) Prec@5 71.875 (65.388)
* Prec@1 34.974 Prec@5 60.684 Loss@ 3.034
==>>[2018-06-21 21:00:25] [Epoch=029/150] [Need: 137:09:21] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=35.26/61.69, Error=64.74/38.31]
Epoch: [29][0/10010] Time 3.799 (3.799) Data 3.629 (3.629) Loss 3.0396 (3.0396) Prec@1 37.500 (37.500) Prec@5 58.594 (58.594)
Epoch: [29][200/10010] Time 0.395 (0.415) Data 0.000 (0.021) Loss 3.4221 (3.1667) Prec@1 30.469 (33.431) Prec@5 53.125 (58.559)
Epoch: [29][400/10010] Time 0.399 (0.406) Data 0.000 (0.011) Loss 3.1845 (3.1612) Prec@1 30.469 (33.816) Prec@5 60.156 (58.572)
Epoch: [29][600/10010] Time 0.390 (0.403) Data 0.000 (0.007) Loss 3.0361 (3.1607) Prec@1 36.719 (33.825) Prec@5 63.281 (58.543)
Epoch: [29][800/10010] Time 0.398 (0.402) Data 0.000 (0.006) Loss 3.4793 (3.1590) Prec@1 33.594 (33.735) Prec@5 53.906 (58.635)
Epoch: [29][1000/10010] Time 0.392 (0.401) Data 0.000 (0.005) Loss 3.0908 (3.1609) Prec@1 32.031 (33.719) Prec@5 60.156 (58.569)
Epoch: [29][1200/10010] Time 0.397 (0.401) Data 0.000 (0.004) Loss 3.4117 (3.1578) Prec@1 24.219 (33.744) Prec@5 51.562 (58.622)
Epoch: [29][1400/10010] Time 0.397 (0.400) Data 0.000 (0.003) Loss 3.2700 (3.1559) Prec@1 32.812 (33.792) Prec@5 60.156 (58.634)
Epoch: [29][1600/10010] Time 0.401 (0.400) Data 0.000 (0.003) Loss 3.5777 (3.1549) Prec@1 28.125 (33.848) Prec@5 48.438 (58.638)
Epoch: [29][1800/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 2.9297 (3.1558) Prec@1 36.719 (33.822) Prec@5 64.844 (58.634)
Epoch: [29][2000/10010] Time 0.401 (0.400) Data 0.000 (0.003) Loss 3.2299 (3.1574) Prec@1 35.938 (33.802) Prec@5 56.250 (58.644)
Epoch: [29][2200/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 3.0550 (3.1571) Prec@1 37.500 (33.820) Prec@5 65.625 (58.656)
Epoch: [29][2400/10010] Time 0.390 (0.399) Data 0.000 (0.002) Loss 3.0954 (3.1591) Prec@1 38.281 (33.826) Prec@5 60.938 (58.624)
Epoch: [29][2600/10010] Time 0.404 (0.399) Data 0.000 (0.002) Loss 3.7112 (3.1609) Prec@1 27.344 (33.790) Prec@5 50.000 (58.594)
Epoch: [29][2800/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 2.9402 (3.1609) Prec@1 39.062 (33.793) Prec@5 62.500 (58.594)
Epoch: [29][3000/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 3.2432 (3.1600) Prec@1 38.281 (33.820) Prec@5 60.156 (58.611)
Epoch: [29][3200/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 3.3432 (3.1590) Prec@1 32.812 (33.816) Prec@5 53.125 (58.626)
Epoch: [29][3400/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 3.0330 (3.1586) Prec@1 37.500 (33.818) Prec@5 60.156 (58.626)
Epoch: [29][3600/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.8410 (3.1600) Prec@1 40.625 (33.815) Prec@5 66.406 (58.626)
Epoch: [29][3800/10010] Time 0.391 (0.399) Data 0.000 (0.002) Loss 3.6340 (3.1603) Prec@1 31.250 (33.794) Prec@5 47.656 (58.609)
Epoch: [29][4000/10010] Time 0.409 (0.399) Data 0.000 (0.002) Loss 3.0373 (3.1601) Prec@1 36.719 (33.793) Prec@5 60.156 (58.627)
Epoch: [29][4200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 3.0821 (3.1605) Prec@1 34.375 (33.783) Prec@5 57.031 (58.610)
Epoch: [29][4400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 3.3046 (3.1612) Prec@1 31.250 (33.790) Prec@5 57.031 (58.594)
Epoch: [29][4600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 3.5409 (3.1607) Prec@1 31.250 (33.794) Prec@5 50.000 (58.595)
Epoch: [29][4800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.9769 (3.1604) Prec@1 35.938 (33.801) Prec@5 63.281 (58.595)
Epoch: [29][5000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 3.2357 (3.1605) Prec@1 28.125 (33.776) Prec@5 60.938 (58.597)
Epoch: [29][5200/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 3.2741 (3.1609) Prec@1 31.250 (33.788) Prec@5 59.375 (58.583)
Epoch: [29][5400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 3.0289 (3.1609) Prec@1 28.906 (33.788) Prec@5 61.719 (58.582)
Epoch: [29][5600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.9898 (3.1609) Prec@1 35.938 (33.789) Prec@5 63.281 (58.589)
Epoch: [29][5800/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 3.1786 (3.1617) Prec@1 34.375 (33.791) Prec@5 60.156 (58.579)
Epoch: [29][6000/10010] Time 0.399 (0.398) Data 0.000 (0.001) Loss 3.1563 (3.1619) Prec@1 35.938 (33.789) Prec@5 61.719 (58.576)
Epoch: [29][6200/10010] Time 0.389 (0.398) Data 0.000 (0.001) Loss 3.2339 (3.1623) Prec@1 34.375 (33.785) Prec@5 55.469 (58.588)
Epoch: [29][6400/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 2.7194 (3.1617) Prec@1 42.188 (33.789) Prec@5 68.750 (58.606)
Epoch: [29][6600/10010] Time 0.402 (0.398) Data 0.000 (0.001) Loss 2.8892 (3.1620) Prec@1 39.844 (33.788) Prec@5 60.938 (58.610)
Epoch: [29][6800/10010] Time 0.402 (0.398) Data 0.000 (0.001) Loss 3.1802 (3.1616) Prec@1 31.250 (33.794) Prec@5 58.594 (58.605)
Epoch: [29][7000/10010] Time 0.409 (0.398) Data 0.001 (0.001) Loss 3.2465 (3.1611) Prec@1 35.156 (33.807) Prec@5 55.469 (58.616)
Epoch: [29][7200/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 3.4220 (3.1612) Prec@1 25.000 (33.796) Prec@5 51.562 (58.613)
Epoch: [29][7400/10010] Time 0.401 (0.398) Data 0.000 (0.001) Loss 3.1353 (3.1615) Prec@1 36.719 (33.780) Prec@5 59.375 (58.610)
Epoch: [29][7600/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 2.8527 (3.1622) Prec@1 37.500 (33.768) Prec@5 62.500 (58.599)
Epoch: [29][7800/10010] Time 0.399 (0.398) Data 0.000 (0.001) Loss 2.9424 (3.1624) Prec@1 35.156 (33.777) Prec@5 59.375 (58.591)
Epoch: [29][8000/10010] Time 0.392 (0.398) Data 0.000 (0.001) Loss 2.9540 (3.1619) Prec@1 38.281 (33.779) Prec@5 61.719 (58.595)
Epoch: [29][8200/10010] Time 0.392 (0.398) Data 0.000 (0.001) Loss 2.8907 (3.1621) Prec@1 39.062 (33.788) Prec@5 63.281 (58.590)
Epoch: [29][8400/10010] Time 0.401 (0.398) Data 0.000 (0.001) Loss 3.0251 (3.1626) Prec@1 34.375 (33.781) Prec@5 58.594 (58.590)
Epoch: [29][8600/10010] Time 0.394 (0.398) Data 0.001 (0.001) Loss 2.9860 (3.1623) Prec@1 39.062 (33.780) Prec@5 64.844 (58.600)
Epoch: [29][8800/10010] Time 0.404 (0.398) Data 0.001 (0.001) Loss 3.2350 (3.1626) Prec@1 32.031 (33.774) Prec@5 53.906 (58.596)
Epoch: [29][9000/10010] Time 0.403 (0.398) Data 0.000 (0.001) Loss 2.7601 (3.1631) Prec@1 38.281 (33.769) Prec@5 62.500 (58.588)
Epoch: [29][9200/10010] Time 0.401 (0.398) Data 0.000 (0.001) Loss 3.4809 (3.1638) Prec@1 31.250 (33.761) Prec@5 49.219 (58.575)
Epoch: [29][9400/10010] Time 0.391 (0.398) Data 0.000 (0.001) Loss 2.9024 (3.1641) Prec@1 36.719 (33.759) Prec@5 60.938 (58.564)
Epoch: [29][9600/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 3.2666 (3.1641) Prec@1 29.688 (33.761) Prec@5 60.156 (58.566)
Epoch: [29][9800/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 3.4211 (3.1643) Prec@1 28.906 (33.756) Prec@5 50.781 (58.564)
Epoch: [29][10000/10010] Time 0.394 (0.398) Data 0.000 (0.001) Loss 3.3053 (3.1646) Prec@1 30.469 (33.750) Prec@5 53.906 (58.557)
Test: [0/391] Time 5.323 (5.323) Loss 1.9480 (1.9480) Prec@1 63.281 (63.281) Prec@5 77.344 (77.344)
Test: [200/391] Time 0.140 (0.254) Loss 2.9497 (2.9725) Prec@1 32.812 (34.729) Prec@5 61.719 (62.228)
* Prec@1 32.272 Prec@5 57.922 Loss@ 3.207
==>>[2018-06-21 22:08:27] [Epoch=030/150] [Need: 136:04:26] [learning_rate=0.100000] [Best : Accuracy(T1/T5)=35.26/61.69, Error=64.74/38.31]
Epoch: [30][0/10010] Time 4.875 (4.875) Data 4.714 (4.714) Loss 3.2656 (3.2656) Prec@1 33.594 (33.594) Prec@5 57.031 (57.031)
Epoch: [30][200/10010] Time 0.392 (0.421) Data 0.000 (0.025) Loss 2.5426 (2.9143) Prec@1 40.625 (37.764) Prec@5 67.188 (62.904)
Epoch: [30][400/10010] Time 0.394 (0.409) Data 0.000 (0.013) Loss 2.5894 (2.8145) Prec@1 44.531 (39.918) Prec@5 66.406 (64.559)
Epoch: [30][600/10010] Time 0.397 (0.406) Data 0.000 (0.009) Loss 2.6309 (2.7731) Prec@1 42.188 (40.661) Prec@5 64.062 (65.236)
Epoch: [30][800/10010] Time 0.402 (0.404) Data 0.000 (0.007) Loss 2.5947 (2.7389) Prec@1 44.531 (41.210) Prec@5 65.625 (65.770)
Epoch: [30][1000/10010] Time 0.397 (0.403) Data 0.000 (0.005) Loss 2.3340 (2.7178) Prec@1 50.000 (41.636) Prec@5 71.094 (66.101)
Epoch: [30][1200/10010] Time 0.405 (0.402) Data 0.000 (0.005) Loss 2.7966 (2.6962) Prec@1 37.500 (42.048) Prec@5 66.406 (66.489)
Epoch: [30][1400/10010] Time 0.398 (0.401) Data 0.000 (0.004) Loss 2.4151 (2.6818) Prec@1 43.750 (42.303) Prec@5 72.656 (66.767)
Epoch: [30][1600/10010] Time 0.400 (0.401) Data 0.000 (0.004) Loss 2.4390 (2.6677) Prec@1 45.312 (42.577) Prec@5 72.656 (66.981)
Epoch: [30][1800/10010] Time 0.404 (0.401) Data 0.001 (0.003) Loss 2.7606 (2.6571) Prec@1 40.625 (42.768) Prec@5 66.406 (67.171)
Epoch: [30][2000/10010] Time 0.406 (0.400) Data 0.000 (0.003) Loss 2.4559 (2.6474) Prec@1 38.281 (42.950) Prec@5 67.969 (67.323)
Epoch: [30][2200/10010] Time 0.397 (0.400) Data 0.001 (0.003) Loss 2.6465 (2.6389) Prec@1 37.500 (43.076) Prec@5 71.875 (67.471)
Epoch: [30][2400/10010] Time 0.391 (0.400) Data 0.000 (0.002) Loss 2.5473 (2.6297) Prec@1 42.188 (43.237) Prec@5 66.406 (67.610)
Epoch: [30][2600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.2670 (2.6231) Prec@1 50.000 (43.347) Prec@5 71.094 (67.694)
Epoch: [30][2800/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 2.3564 (2.6157) Prec@1 48.438 (43.500) Prec@5 69.531 (67.793)
Epoch: [30][3000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.6517 (2.6098) Prec@1 43.750 (43.624) Prec@5 64.062 (67.914)
Epoch: [30][3200/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 2.7343 (2.6032) Prec@1 41.406 (43.737) Prec@5 68.750 (68.030)
Epoch: [30][3400/10010] Time 0.412 (0.399) Data 0.000 (0.002) Loss 2.8755 (2.5986) Prec@1 40.625 (43.810) Prec@5 60.156 (68.119)
Epoch: [30][3600/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 2.4829 (2.5921) Prec@1 50.781 (43.940) Prec@5 73.438 (68.234)
Epoch: [30][3800/10010] Time 0.409 (0.399) Data 0.001 (0.002) Loss 2.0668 (2.5859) Prec@1 47.656 (44.045) Prec@5 76.562 (68.336)
Epoch: [30][4000/10010] Time 0.400 (0.399) Data 0.001 (0.002) Loss 2.6933 (2.5808) Prec@1 45.312 (44.144) Prec@5 67.188 (68.422)
Epoch: [30][4200/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.2341 (2.5749) Prec@1 51.562 (44.251) Prec@5 74.219 (68.525)
Epoch: [30][4400/10010] Time 0.402 (0.399) Data 0.000 (0.002) Loss 2.0699 (2.5702) Prec@1 53.906 (44.322) Prec@5 75.781 (68.576)
Epoch: [30][4600/10010] Time 0.393 (0.399) Data 0.000 (0.002) Loss 2.0933 (2.5651) Prec@1 55.469 (44.405) Prec@5 75.781 (68.657)
Epoch: [30][4800/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.3679 (2.5608) Prec@1 46.875 (44.490) Prec@5 72.656 (68.725)
Epoch: [30][5000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.5687 (2.5574) Prec@1 46.094 (44.542) Prec@5 65.625 (68.782)
Epoch: [30][5200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.2874 (2.5534) Prec@1 50.000 (44.608) Prec@5 72.656 (68.854)
Epoch: [30][5400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.4481 (2.5493) Prec@1 47.656 (44.684) Prec@5 71.875 (68.916)
Epoch: [30][5600/10010] Time 0.389 (0.399) Data 0.000 (0.001) Loss 2.5039 (2.5458) Prec@1 44.531 (44.747) Prec@5 68.750 (68.965)
Epoch: [30][5800/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.5486 (2.5422) Prec@1 49.219 (44.812) Prec@5 68.750 (69.025)
Epoch: [30][6000/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.7286 (2.5386) Prec@1 45.312 (44.887) Prec@5 63.281 (69.084)
Epoch: [30][6200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.4513 (2.5349) Prec@1 46.094 (44.946) Prec@5 72.656 (69.155)
Epoch: [30][6400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.1502 (2.5320) Prec@1 53.906 (44.996) Prec@5 77.344 (69.204)
Epoch: [30][6600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.6399 (2.5287) Prec@1 36.719 (45.067) Prec@5 69.531 (69.262)
Epoch: [30][6800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.6335 (2.5258) Prec@1 41.406 (45.121) Prec@5 66.406 (69.312)
Epoch: [30][7000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.3789 (2.5225) Prec@1 47.656 (45.177) Prec@5 74.219 (69.372)
Epoch: [30][7200/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.4907 (2.5199) Prec@1 47.656 (45.234) Prec@5 71.094 (69.404)
Epoch: [30][7400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.3761 (2.5170) Prec@1 57.812 (45.287) Prec@5 71.875 (69.457)
Epoch: [30][7600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2837 (2.5143) Prec@1 51.562 (45.332) Prec@5 74.219 (69.505)
Epoch: [30][7800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1976 (2.5121) Prec@1 50.000 (45.371) Prec@5 74.219 (69.544)
Epoch: [30][8000/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 2.4946 (2.5097) Prec@1 48.438 (45.421) Prec@5 69.531 (69.584)
Epoch: [30][8200/10010] Time 0.400 (0.398) Data 0.000 (0.001) Loss 2.6331 (2.5068) Prec@1 43.750 (45.483) Prec@5 71.094 (69.629)
Epoch: [30][8400/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 2.2099 (2.5044) Prec@1 46.875 (45.519) Prec@5 74.219 (69.669)
Epoch: [30][8600/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 2.3853 (2.5016) Prec@1 45.312 (45.567) Prec@5 71.875 (69.706)
Epoch: [30][8800/10010] Time 0.400 (0.398) Data 0.000 (0.001) Loss 2.2072 (2.4995) Prec@1 50.781 (45.600) Prec@5 76.562 (69.735)
Epoch: [30][9000/10010] Time 0.392 (0.398) Data 0.000 (0.001) Loss 2.1714 (2.4969) Prec@1 50.000 (45.644) Prec@5 76.562 (69.774)
Epoch: [30][9200/10010] Time 0.389 (0.398) Data 0.001 (0.001) Loss 2.6909 (2.4946) Prec@1 39.062 (45.677) Prec@5 65.625 (69.811)
Epoch: [30][9400/10010] Time 0.410 (0.398) Data 0.001 (0.001) Loss 2.2927 (2.4924) Prec@1 46.875 (45.720) Prec@5 77.344 (69.844)
Epoch: [30][9600/10010] Time 0.404 (0.398) Data 0.000 (0.001) Loss 2.5521 (2.4901) Prec@1 39.844 (45.762) Prec@5 64.062 (69.879)
Epoch: [30][9800/10010] Time 0.394 (0.398) Data 0.000 (0.001) Loss 2.4518 (2.4884) Prec@1 50.000 (45.798) Prec@5 70.312 (69.909)
Epoch: [30][10000/10010] Time 0.391 (0.398) Data 0.000 (0.001) Loss 2.7171 (2.4861) Prec@1 39.844 (45.843) Prec@5 61.719 (69.943)
Test: [0/391] Time 4.415 (4.415) Loss 1.0219 (1.0219) Prec@1 77.344 (77.344) Prec@5 89.062 (89.062)
Test: [200/391] Time 0.141 (0.246) Loss 2.6326 (1.6993) Prec@1 36.719 (58.504) Prec@5 63.281 (82.708)
* Prec@1 53.752 Prec@5 78.094 Loss@ 1.985
==>>[2018-06-21 23:16:26] [Epoch=031/150] [Need: 134:49:38] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=53.75/78.09, Error=46.25/21.91]
Epoch: [31][0/10010] Time 4.153 (4.153) Data 3.987 (3.987) Loss 2.5658 (2.5658) Prec@1 44.531 (44.531) Prec@5 64.844 (64.844)
Epoch: [31][200/10010] Time 0.396 (0.417) Data 0.000 (0.023) Loss 2.3039 (2.3436) Prec@1 47.656 (48.445) Prec@5 75.781 (72.299)
Epoch: [31][400/10010] Time 0.400 (0.407) Data 0.000 (0.012) Loss 2.2053 (2.3374) Prec@1 48.438 (48.451) Prec@5 77.344 (72.304)
Epoch: [31][600/10010] Time 0.399 (0.404) Data 0.000 (0.008) Loss 2.7731 (2.3443) Prec@1 43.750 (48.384) Prec@5 64.844 (72.253)
Epoch: [31][800/10010] Time 0.392 (0.403) Data 0.000 (0.006) Loss 2.1452 (2.3530) Prec@1 49.219 (48.209) Prec@5 78.125 (72.132)
Epoch: [31][1000/10010] Time 0.397 (0.402) Data 0.000 (0.005) Loss 1.7569 (2.3521) Prec@1 59.375 (48.229) Prec@5 80.469 (72.143)
Epoch: [31][1200/10010] Time 0.398 (0.401) Data 0.000 (0.004) Loss 2.6735 (2.3513) Prec@1 37.500 (48.182) Prec@5 61.719 (72.157)
Epoch: [31][1400/10010] Time 0.396 (0.401) Data 0.000 (0.004) Loss 2.4441 (2.3512) Prec@1 46.875 (48.193) Prec@5 71.875 (72.143)
Epoch: [31][1600/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.2608 (2.3514) Prec@1 50.000 (48.141) Prec@5 75.781 (72.154)
Epoch: [31][1800/10010] Time 0.393 (0.400) Data 0.000 (0.003) Loss 1.8838 (2.3513) Prec@1 55.469 (48.169) Prec@5 82.812 (72.157)
Epoch: [31][2000/10010] Time 0.412 (0.400) Data 0.000 (0.003) Loss 2.5426 (2.3523) Prec@1 45.312 (48.169) Prec@5 70.312 (72.128)
Epoch: [31][2200/10010] Time 0.394 (0.400) Data 0.000 (0.003) Loss 2.4244 (2.3528) Prec@1 43.750 (48.142) Prec@5 71.094 (72.122)
Epoch: [31][2400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.4257 (2.3513) Prec@1 53.125 (48.170) Prec@5 67.969 (72.146)
Epoch: [31][2600/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.1407 (2.3524) Prec@1 50.000 (48.147) Prec@5 72.656 (72.130)
Epoch: [31][2800/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.2051 (2.3519) Prec@1 51.562 (48.138) Prec@5 73.438 (72.112)
Epoch: [31][3000/10010] Time 0.398 (0.399) Data 0.001 (0.002) Loss 2.5856 (2.3509) Prec@1 43.750 (48.172) Prec@5 72.656 (72.136)
Epoch: [31][3200/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.2179 (2.3481) Prec@1 50.000 (48.204) Prec@5 76.562 (72.182)
Epoch: [31][3400/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.4269 (2.3480) Prec@1 47.656 (48.227) Prec@5 71.094 (72.181)
Epoch: [31][3600/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 2.1909 (2.3477) Prec@1 52.344 (48.238) Prec@5 72.656 (72.174)
Epoch: [31][3800/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.3378 (2.3478) Prec@1 46.094 (48.240) Prec@5 67.969 (72.147)
Epoch: [31][4000/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.1695 (2.3481) Prec@1 46.094 (48.247) Prec@5 76.562 (72.138)
Epoch: [31][4200/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 2.2054 (2.3481) Prec@1 51.562 (48.266) Prec@5 76.562 (72.138)
Epoch: [31][4400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.2838 (2.3479) Prec@1 46.094 (48.272) Prec@5 75.000 (72.136)
Epoch: [31][4600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2811 (2.3486) Prec@1 48.438 (48.263) Prec@5 73.438 (72.116)
Epoch: [31][4800/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.3952 (2.3478) Prec@1 47.656 (48.268) Prec@5 67.969 (72.118)
Epoch: [31][5000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.4052 (2.3476) Prec@1 46.094 (48.277) Prec@5 64.844 (72.108)
Epoch: [31][5200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.5398 (2.3470) Prec@1 46.094 (48.294) Prec@5 69.531 (72.121)
Epoch: [31][5400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2599 (2.3452) Prec@1 45.312 (48.323) Prec@5 71.875 (72.155)
Epoch: [31][5600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.3456 (2.3443) Prec@1 40.625 (48.334) Prec@5 74.219 (72.166)
Epoch: [31][5800/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 2.4472 (2.3435) Prec@1 43.750 (48.351) Prec@5 67.969 (72.178)
Epoch: [31][6000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2492 (2.3432) Prec@1 46.875 (48.349) Prec@5 75.781 (72.183)
Epoch: [31][6200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2788 (2.3431) Prec@1 54.688 (48.352) Prec@5 75.000 (72.174)
Epoch: [31][6400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.9866 (2.3427) Prec@1 53.906 (48.367) Prec@5 75.781 (72.178)
Epoch: [31][6600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.3002 (2.3417) Prec@1 45.312 (48.384) Prec@5 71.875 (72.200)
Epoch: [31][6800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.0763 (2.3410) Prec@1 47.656 (48.382) Prec@5 78.125 (72.213)
Epoch: [31][7000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.8052 (2.3409) Prec@1 57.812 (48.394) Prec@5 78.906 (72.218)
Epoch: [31][7200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1193 (2.3413) Prec@1 53.125 (48.389) Prec@5 78.125 (72.211)
Epoch: [31][7400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.3798 (2.3408) Prec@1 50.781 (48.391) Prec@5 71.094 (72.220)
Epoch: [31][7600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.4750 (2.3408) Prec@1 51.562 (48.401) Prec@5 68.750 (72.223)
Epoch: [31][7800/10010] Time 0.394 (0.398) Data 0.000 (0.001) Loss 2.5595 (2.3406) Prec@1 41.406 (48.409) Prec@5 68.750 (72.222)
Epoch: [31][8000/10010] Time 0.400 (0.398) Data 0.000 (0.001) Loss 2.0171 (2.3402) Prec@1 55.469 (48.418) Prec@5 77.344 (72.230)
Epoch: [31][8200/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 2.4518 (2.3398) Prec@1 46.094 (48.425) Prec@5 70.312 (72.240)
Epoch: [31][8400/10010] Time 0.403 (0.398) Data 0.000 (0.001) Loss 2.3238 (2.3394) Prec@1 52.344 (48.437) Prec@5 72.656 (72.245)
Epoch: [31][8600/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 2.4040 (2.3386) Prec@1 46.875 (48.450) Prec@5 71.094 (72.257)
Epoch: [31][8800/10010] Time 0.401 (0.398) Data 0.000 (0.001) Loss 2.2332 (2.3385) Prec@1 52.344 (48.451) Prec@5 72.656 (72.260)
Epoch: [31][9000/10010] Time 0.400 (0.398) Data 0.000 (0.001) Loss 2.4127 (2.3381) Prec@1 43.750 (48.450) Prec@5 71.875 (72.263)
Epoch: [31][9200/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 2.4714 (2.3381) Prec@1 49.219 (48.458) Prec@5 69.531 (72.263)
Epoch: [31][9400/10010] Time 0.418 (0.398) Data 0.000 (0.001) Loss 2.0413 (2.3377) Prec@1 50.000 (48.468) Prec@5 78.906 (72.269)
Epoch: [31][9600/10010] Time 0.392 (0.398) Data 0.000 (0.001) Loss 2.4699 (2.3373) Prec@1 46.875 (48.479) Prec@5 68.750 (72.272)
Epoch: [31][9800/10010] Time 0.400 (0.398) Data 0.001 (0.001) Loss 2.2641 (2.3366) Prec@1 46.875 (48.486) Prec@5 73.438 (72.289)
Epoch: [31][10000/10010] Time 0.399 (0.398) Data 0.000 (0.001) Loss 2.4189 (2.3365) Prec@1 45.312 (48.494) Prec@5 75.781 (72.290)
Test: [0/391] Time 4.411 (4.411) Loss 1.1375 (1.1375) Prec@1 72.656 (72.656) Prec@5 87.500 (87.500)
Test: [200/391] Time 0.139 (0.246) Loss 2.2830 (1.6694) Prec@1 43.750 (59.204) Prec@5 75.000 (83.263)
* Prec@1 54.760 Prec@5 78.846 Loss@ 1.940
==>>[2018-06-22 00:24:26] [Epoch=032/150] [Need: 133:44:08] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=54.76/78.85, Error=45.24/21.15]
Epoch: [32][0/10010] Time 3.877 (3.877) Data 3.712 (3.712) Loss 2.0507 (2.0507) Prec@1 58.594 (58.594) Prec@5 74.219 (74.219)
Epoch: [32][200/10010] Time 0.400 (0.416) Data 0.000 (0.021) Loss 2.3368 (2.2917) Prec@1 46.875 (49.137) Prec@5 68.750 (72.917)
Epoch: [32][400/10010] Time 0.402 (0.407) Data 0.000 (0.011) Loss 2.6388 (2.2934) Prec@1 39.844 (49.273) Prec@5 67.188 (72.869)
Epoch: [32][600/10010] Time 0.395 (0.404) Data 0.000 (0.007) Loss 2.2296 (2.2876) Prec@1 50.000 (49.318) Prec@5 71.094 (73.050)
Epoch: [32][800/10010] Time 0.395 (0.403) Data 0.000 (0.006) Loss 2.4818 (2.2857) Prec@1 41.406 (49.327) Prec@5 71.875 (73.127)
Epoch: [32][1000/10010] Time 0.403 (0.402) Data 0.000 (0.005) Loss 2.2261 (2.2896) Prec@1 53.125 (49.223) Prec@5 73.438 (73.080)
Epoch: [32][1200/10010] Time 0.393 (0.401) Data 0.000 (0.004) Loss 2.5551 (2.2863) Prec@1 44.531 (49.286) Prec@5 69.531 (73.109)
Epoch: [32][1400/10010] Time 0.405 (0.401) Data 0.000 (0.003) Loss 2.2467 (2.2893) Prec@1 44.531 (49.246) Prec@5 73.438 (73.070)
Epoch: [32][1600/10010] Time 0.396 (0.400) Data 0.000 (0.003) Loss 2.2295 (2.2887) Prec@1 52.344 (49.267) Prec@5 71.094 (73.026)
Epoch: [32][1800/10010] Time 0.403 (0.400) Data 0.000 (0.003) Loss 1.9718 (2.2915) Prec@1 56.250 (49.255) Prec@5 78.125 (72.955)
Epoch: [32][2000/10010] Time 0.405 (0.400) Data 0.000 (0.003) Loss 2.2956 (2.2939) Prec@1 50.000 (49.221) Prec@5 71.875 (72.896)
Epoch: [32][2200/10010] Time 0.391 (0.400) Data 0.000 (0.002) Loss 2.4094 (2.2940) Prec@1 43.750 (49.246) Prec@5 71.094 (72.917)
Epoch: [32][2400/10010] Time 0.391 (0.400) Data 0.001 (0.002) Loss 1.9742 (2.2939) Prec@1 58.594 (49.263) Prec@5 81.250 (72.936)
Epoch: [32][2600/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.4907 (2.2935) Prec@1 46.094 (49.256) Prec@5 73.438 (72.963)
Epoch: [32][2800/10010] Time 0.407 (0.399) Data 0.000 (0.002) Loss 2.3432 (2.2928) Prec@1 52.344 (49.223) Prec@5 69.531 (72.978)
Epoch: [32][3000/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.5875 (2.2929) Prec@1 42.969 (49.214) Prec@5 68.750 (72.995)
Epoch: [32][3200/10010] Time 0.407 (0.399) Data 0.000 (0.002) Loss 2.2242 (2.2943) Prec@1 44.531 (49.202) Prec@5 76.562 (72.982)
Epoch: [32][3400/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.0307 (2.2945) Prec@1 50.000 (49.198) Prec@5 80.469 (72.974)
Epoch: [32][3600/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 2.5085 (2.2937) Prec@1 47.656 (49.229) Prec@5 69.531 (72.985)
Epoch: [32][3800/10010] Time 0.404 (0.399) Data 0.000 (0.002) Loss 2.4100 (2.2935) Prec@1 46.094 (49.241) Prec@5 71.094 (73.008)
Epoch: [32][4000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.5590 (2.2936) Prec@1 49.219 (49.238) Prec@5 68.750 (73.020)
Epoch: [32][4200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.1509 (2.2931) Prec@1 53.125 (49.241) Prec@5 77.344 (73.030)
Epoch: [32][4400/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 2.4174 (2.2928) Prec@1 45.312 (49.233) Prec@5 69.531 (73.027)
Epoch: [32][4600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.0711 (2.2933) Prec@1 53.125 (49.228) Prec@5 78.906 (73.032)
Epoch: [32][4800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1038 (2.2922) Prec@1 53.906 (49.224) Prec@5 74.219 (73.049)
Epoch: [32][5000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2511 (2.2916) Prec@1 50.000 (49.235) Prec@5 71.875 (73.053)
Epoch: [32][5200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2691 (2.2921) Prec@1 53.906 (49.217) Prec@5 73.438 (73.032)
Epoch: [32][5400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2050 (2.2919) Prec@1 54.688 (49.230) Prec@5 75.000 (73.025)
Epoch: [32][5600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.6533 (2.2916) Prec@1 41.406 (49.232) Prec@5 69.531 (73.034)
Epoch: [32][5800/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 1.9938 (2.2911) Prec@1 55.469 (49.232) Prec@5 83.594 (73.050)
Epoch: [32][6000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9426 (2.2912) Prec@1 62.500 (49.239) Prec@5 76.562 (73.045)
Epoch: [32][6200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2300 (2.2899) Prec@1 50.000 (49.257) Prec@5 71.875 (73.065)
Epoch: [32][6400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2090 (2.2903) Prec@1 54.688 (49.252) Prec@5 74.219 (73.064)
Epoch: [32][6600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9292 (2.2904) Prec@1 55.469 (49.256) Prec@5 78.906 (73.055)
Epoch: [32][6800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2085 (2.2902) Prec@1 46.875 (49.256) Prec@5 71.875 (73.054)
Epoch: [32][7000/10010] Time 0.406 (0.399) Data 0.001 (0.001) Loss 2.1223 (2.2901) Prec@1 57.031 (49.242) Prec@5 76.562 (73.053)
Epoch: [32][7200/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 2.4874 (2.2895) Prec@1 46.875 (49.252) Prec@5 68.750 (73.057)
Epoch: [32][7400/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 2.2119 (2.2895) Prec@1 53.906 (49.261) Prec@5 73.438 (73.060)
Epoch: [32][7600/10010] Time 0.404 (0.398) Data 0.000 (0.001) Loss 2.0346 (2.2899) Prec@1 51.562 (49.266) Prec@5 77.344 (73.056)
Epoch: [32][7800/10010] Time 0.394 (0.398) Data 0.001 (0.001) Loss 2.3244 (2.2898) Prec@1 46.094 (49.264) Prec@5 69.531 (73.062)
Epoch: [32][8000/10010] Time 0.400 (0.398) Data 0.000 (0.001) Loss 2.5179 (2.2899) Prec@1 46.094 (49.255) Prec@5 68.750 (73.057)
Epoch: [32][8200/10010] Time 0.398 (0.398) Data 0.000 (0.001) Loss 2.4115 (2.2902) Prec@1 48.438 (49.249) Prec@5 72.656 (73.055)
Epoch: [32][8400/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 2.4299 (2.2901) Prec@1 42.188 (49.246) Prec@5 71.875 (73.057)
Epoch: [32][8600/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 2.7036 (2.2897) Prec@1 39.062 (49.249) Prec@5 69.531 (73.059)
Epoch: [32][8800/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 2.3312 (2.2896) Prec@1 46.875 (49.259) Prec@5 70.312 (73.063)
Epoch: [32][9000/10010] Time 0.402 (0.398) Data 0.000 (0.001) Loss 2.3524 (2.2900) Prec@1 45.312 (49.258) Prec@5 72.656 (73.057)
Epoch: [32][9200/10010] Time 0.398 (0.398) Data 0.000 (0.001) Loss 2.2917 (2.2901) Prec@1 49.219 (49.257) Prec@5 76.562 (73.053)
Epoch: [32][9400/10010] Time 0.398 (0.398) Data 0.000 (0.001) Loss 2.7763 (2.2904) Prec@1 39.844 (49.259) Prec@5 70.312 (73.047)
Epoch: [32][9600/10010] Time 0.402 (0.398) Data 0.000 (0.001) Loss 2.3674 (2.2907) Prec@1 46.875 (49.267) Prec@5 72.656 (73.043)
Epoch: [32][9800/10010] Time 0.403 (0.398) Data 0.000 (0.001) Loss 2.6224 (2.2907) Prec@1 46.875 (49.280) Prec@5 66.406 (73.048)
Epoch: [32][10000/10010] Time 0.392 (0.398) Data 0.000 (0.001) Loss 2.1948 (2.2906) Prec@1 51.562 (49.278) Prec@5 71.875 (73.048)
Test: [0/391] Time 4.225 (4.225) Loss 1.0661 (1.0661) Prec@1 80.469 (80.469) Prec@5 88.281 (88.281)
Test: [200/391] Time 0.155 (0.255) Loss 2.3553 (1.6294) Prec@1 41.406 (60.071) Prec@5 74.219 (83.738)
* Prec@1 55.358 Prec@5 79.258 Loss@ 1.911
==>>[2018-06-22 01:32:28] [Epoch=033/150] [Need: 132:40:56] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.36/79.26, Error=44.64/20.74]
Epoch: [33][0/10010] Time 4.416 (4.416) Data 4.258 (4.258) Loss 2.3967 (2.3967) Prec@1 50.781 (50.781) Prec@5 71.875 (71.875)
Epoch: [33][200/10010] Time 0.393 (0.419) Data 0.001 (0.023) Loss 2.2186 (2.2848) Prec@1 47.656 (49.238) Prec@5 72.656 (72.994)
Epoch: [33][400/10010] Time 0.406 (0.408) Data 0.000 (0.012) Loss 2.0727 (2.2744) Prec@1 51.562 (49.447) Prec@5 78.906 (73.058)
Epoch: [33][600/10010] Time 0.397 (0.405) Data 0.000 (0.008) Loss 2.3892 (2.2695) Prec@1 43.750 (49.640) Prec@5 71.875 (73.224)
Epoch: [33][800/10010] Time 0.398 (0.403) Data 0.000 (0.006) Loss 2.1816 (2.2692) Prec@1 50.781 (49.731) Prec@5 71.094 (73.226)
Epoch: [33][1000/10010] Time 0.397 (0.402) Data 0.000 (0.005) Loss 2.1198 (2.2647) Prec@1 46.875 (49.784) Prec@5 75.781 (73.363)
Epoch: [33][1200/10010] Time 0.394 (0.401) Data 0.000 (0.004) Loss 2.0757 (2.2602) Prec@1 53.906 (49.791) Prec@5 76.562 (73.424)
Epoch: [33][1400/10010] Time 0.399 (0.401) Data 0.000 (0.004) Loss 2.4618 (2.2624) Prec@1 50.000 (49.791) Prec@5 69.531 (73.414)
Epoch: [33][1600/10010] Time 0.402 (0.401) Data 0.000 (0.003) Loss 2.0485 (2.2618) Prec@1 50.000 (49.822) Prec@5 73.438 (73.405)
Epoch: [33][1800/10010] Time 0.394 (0.400) Data 0.000 (0.003) Loss 2.2328 (2.2591) Prec@1 54.688 (49.827) Prec@5 67.969 (73.452)
Epoch: [33][2000/10010] Time 0.402 (0.400) Data 0.000 (0.003) Loss 2.3382 (2.2601) Prec@1 44.531 (49.794) Prec@5 74.219 (73.449)
Epoch: [33][2200/10010] Time 0.394 (0.400) Data 0.001 (0.003) Loss 2.1074 (2.2599) Prec@1 50.000 (49.813) Prec@5 73.438 (73.463)
Epoch: [33][2400/10010] Time 0.390 (0.400) Data 0.001 (0.002) Loss 1.9602 (2.2597) Prec@1 52.344 (49.826) Prec@5 76.562 (73.469)
Epoch: [33][2600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.8482 (2.2615) Prec@1 57.031 (49.780) Prec@5 82.812 (73.445)
Epoch: [33][2800/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 2.4859 (2.2618) Prec@1 47.656 (49.769) Prec@5 71.094 (73.447)
Epoch: [33][3000/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.3171 (2.2638) Prec@1 44.531 (49.737) Prec@5 72.656 (73.435)
Epoch: [33][3200/10010] Time 0.388 (0.399) Data 0.000 (0.002) Loss 2.4737 (2.2647) Prec@1 53.906 (49.712) Prec@5 68.750 (73.423)
Epoch: [33][3400/10010] Time 0.397 (0.399) Data 0.001 (0.002) Loss 2.2201 (2.2638) Prec@1 53.906 (49.727) Prec@5 74.219 (73.434)
Epoch: [33][3600/10010] Time 0.402 (0.399) Data 0.000 (0.002) Loss 2.2376 (2.2653) Prec@1 50.000 (49.707) Prec@5 76.562 (73.423)
Epoch: [33][3800/10010] Time 0.405 (0.399) Data 0.000 (0.002) Loss 2.2636 (2.2655) Prec@1 50.781 (49.703) Prec@5 71.094 (73.423)
Epoch: [33][4000/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 2.5351 (2.2648) Prec@1 46.094 (49.705) Prec@5 67.969 (73.429)
Epoch: [33][4200/10010] Time 0.389 (0.399) Data 0.000 (0.002) Loss 2.1385 (2.2648) Prec@1 51.562 (49.703) Prec@5 74.219 (73.432)
Epoch: [33][4400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.4376 (2.2666) Prec@1 43.750 (49.687) Prec@5 70.312 (73.398)
Epoch: [33][4600/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 2.1779 (2.2671) Prec@1 41.406 (49.687) Prec@5 75.781 (73.391)
Epoch: [33][4800/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 1.9170 (2.2669) Prec@1 53.125 (49.688) Prec@5 78.906 (73.388)
Epoch: [33][5000/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.2663 (2.2672) Prec@1 45.312 (49.689) Prec@5 76.562 (73.390)
Epoch: [33][5200/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 1.9426 (2.2664) Prec@1 57.031 (49.715) Prec@5 74.219 (73.410)
Epoch: [33][5400/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.0842 (2.2674) Prec@1 54.688 (49.708) Prec@5 72.656 (73.393)
Epoch: [33][5600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2760 (2.2677) Prec@1 42.969 (49.715) Prec@5 74.219 (73.395)
Epoch: [33][5800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.0083 (2.2685) Prec@1 50.000 (49.696) Prec@5 75.781 (73.376)
Epoch: [33][6000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.0096 (2.2681) Prec@1 52.344 (49.701) Prec@5 77.344 (73.381)
Epoch: [33][6200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.1483 (2.2682) Prec@1 56.250 (49.688) Prec@5 75.000 (73.377)
Epoch: [33][6400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.3391 (2.2685) Prec@1 51.562 (49.678) Prec@5 73.438 (73.372)
Epoch: [33][6600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.2902 (2.2684) Prec@1 45.312 (49.680) Prec@5 71.875 (73.372)
Epoch: [33][6800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0102 (2.2692) Prec@1 55.469 (49.669) Prec@5 81.250 (73.362)
Epoch: [33][7000/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.5769 (2.2700) Prec@1 42.188 (49.648) Prec@5 65.625 (73.353)
Epoch: [33][7200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.3771 (2.2702) Prec@1 44.531 (49.643) Prec@5 67.969 (73.360)
Epoch: [33][7400/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.3303 (2.2706) Prec@1 50.000 (49.634) Prec@5 76.562 (73.357)
Epoch: [33][7600/10010] Time 0.394 (0.398) Data 0.000 (0.001) Loss 2.3582 (2.2711) Prec@1 45.312 (49.625) Prec@5 71.875 (73.350)
Epoch: [33][7800/10010] Time 0.402 (0.398) Data 0.000 (0.001) Loss 2.2155 (2.2711) Prec@1 53.906 (49.634) Prec@5 77.344 (73.350)
Epoch: [33][8000/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 2.4686 (2.2714) Prec@1 48.438 (49.631) Prec@5 70.312 (73.342)
Epoch: [33][8200/10010] Time 0.392 (0.398) Data 0.000 (0.001) Loss 2.3363 (2.2718) Prec@1 49.219 (49.632) Prec@5 77.344 (73.336)
Epoch: [33][8400/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 2.0940 (2.2718) Prec@1 53.125 (49.619) Prec@5 75.781 (73.332)
Epoch: [33][8600/10010] Time 0.402 (0.398) Data 0.000 (0.001) Loss 2.4493 (2.2717) Prec@1 49.219 (49.623) Prec@5 73.438 (73.335)
Epoch: [33][8800/10010] Time 0.404 (0.398) Data 0.000 (0.001) Loss 2.3303 (2.2716) Prec@1 47.656 (49.634) Prec@5 72.656 (73.340)
Epoch: [33][9000/10010] Time 0.400 (0.398) Data 0.001 (0.001) Loss 2.1094 (2.2715) Prec@1 48.438 (49.628) Prec@5 74.219 (73.343)
Epoch: [33][9200/10010] Time 0.391 (0.398) Data 0.000 (0.001) Loss 2.7402 (2.2718) Prec@1 48.438 (49.625) Prec@5 63.281 (73.338)
Epoch: [33][9400/10010] Time 0.400 (0.398) Data 0.000 (0.001) Loss 2.5054 (2.2718) Prec@1 43.750 (49.626) Prec@5 67.969 (73.336)
Epoch: [33][9600/10010] Time 0.399 (0.398) Data 0.000 (0.001) Loss 2.3611 (2.2722) Prec@1 43.750 (49.616) Prec@5 71.875 (73.326)
Epoch: [33][9800/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 2.7580 (2.2724) Prec@1 35.156 (49.612) Prec@5 66.406 (73.322)
Epoch: [33][10000/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 2.2657 (2.2721) Prec@1 50.781 (49.621) Prec@5 74.219 (73.328)
Test: [0/391] Time 4.012 (4.012) Loss 1.0474 (1.0474) Prec@1 71.875 (71.875) Prec@5 89.062 (89.062)
Test: [200/391] Time 0.145 (0.256) Loss 2.3299 (1.6334) Prec@1 39.844 (59.884) Prec@5 72.656 (84.076)
* Prec@1 55.286 Prec@5 79.454 Loss@ 1.909
==>>[2018-06-22 02:40:30] [Epoch=034/150] [Need: 131:31:39] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.36/79.45, Error=44.64/20.55]
Epoch: [34][0/10010] Time 4.316 (4.316) Data 4.159 (4.159) Loss 2.7115 (2.7115) Prec@1 42.969 (42.969) Prec@5 68.750 (68.750)
Epoch: [34][200/10010] Time 0.392 (0.418) Data 0.000 (0.022) Loss 2.2854 (2.2390) Prec@1 45.312 (50.082) Prec@5 72.656 (73.916)
Epoch: [34][400/10010] Time 0.395 (0.408) Data 0.000 (0.011) Loss 2.3300 (2.2360) Prec@1 52.344 (50.357) Prec@5 78.906 (74.053)
Epoch: [34][600/10010] Time 0.396 (0.404) Data 0.000 (0.008) Loss 1.9678 (2.2378) Prec@1 52.344 (50.347) Prec@5 80.469 (73.973)
Epoch: [34][800/10010] Time 0.398 (0.403) Data 0.000 (0.006) Loss 2.2544 (2.2351) Prec@1 47.656 (50.247) Prec@5 73.438 (73.956)
Epoch: [34][1000/10010] Time 0.399 (0.402) Data 0.000 (0.005) Loss 2.2906 (2.2388) Prec@1 48.438 (50.216) Prec@5 71.875 (73.882)
Epoch: [34][1200/10010] Time 0.398 (0.401) Data 0.000 (0.004) Loss 2.2286 (2.2353) Prec@1 55.469 (50.304) Prec@5 73.438 (73.927)
Epoch: [34][1400/10010] Time 0.394 (0.401) Data 0.000 (0.004) Loss 1.9142 (2.2358) Prec@1 57.812 (50.317) Prec@5 82.031 (73.916)
Epoch: [34][1600/10010] Time 0.394 (0.401) Data 0.001 (0.003) Loss 2.1672 (2.2379) Prec@1 55.469 (50.309) Prec@5 77.344 (73.885)
Epoch: [34][1800/10010] Time 0.402 (0.400) Data 0.000 (0.003) Loss 2.4757 (2.2397) Prec@1 56.250 (50.242) Prec@5 68.750 (73.845)
Epoch: [34][2000/10010] Time 0.399 (0.400) Data 0.000 (0.003) Loss 2.0512 (2.2426) Prec@1 55.469 (50.190) Prec@5 78.906 (73.802)
Epoch: [34][2200/10010] Time 0.395 (0.400) Data 0.001 (0.002) Loss 2.1062 (2.2461) Prec@1 54.688 (50.141) Prec@5 75.000 (73.742)
Epoch: [34][2400/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.5534 (2.2453) Prec@1 48.438 (50.157) Prec@5 72.656 (73.759)
Epoch: [34][2600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.4863 (2.2465) Prec@1 45.312 (50.138) Prec@5 72.656 (73.751)
Epoch: [34][2800/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 2.0980 (2.2479) Prec@1 54.688 (50.088) Prec@5 75.781 (73.704)
Epoch: [34][3000/10010] Time 0.404 (0.399) Data 0.000 (0.002) Loss 2.2137 (2.2496) Prec@1 48.438 (50.031) Prec@5 76.562 (73.682)
Epoch: [34][3200/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.3501 (2.2505) Prec@1 46.875 (50.028) Prec@5 72.656 (73.677)
Epoch: [34][3400/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 1.9224 (2.2515) Prec@1 53.906 (50.016) Prec@5 79.688 (73.656)
Epoch: [34][3600/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 2.1540 (2.2523) Prec@1 53.906 (49.984) Prec@5 71.875 (73.653)
Epoch: [34][3800/10010] Time 0.393 (0.399) Data 0.000 (0.002) Loss 1.8919 (2.2531) Prec@1 57.812 (49.958) Prec@5 75.781 (73.638)
Epoch: [34][4000/10010] Time 0.399 (0.399) Data 0.001 (0.002) Loss 2.0214 (2.2533) Prec@1 49.219 (49.938) Prec@5 80.469 (73.630)
Epoch: [34][4200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.1685 (2.2532) Prec@1 46.875 (49.945) Prec@5 75.781 (73.626)
Epoch: [34][4400/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 2.0843 (2.2526) Prec@1 52.344 (49.941) Prec@5 75.781 (73.640)
Epoch: [34][4600/10010] Time 0.388 (0.399) Data 0.000 (0.001) Loss 2.2110 (2.2538) Prec@1 51.562 (49.918) Prec@5 71.875 (73.609)
Epoch: [34][4800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.4448 (2.2537) Prec@1 48.438 (49.930) Prec@5 68.750 (73.610)
Epoch: [34][5000/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.1825 (2.2554) Prec@1 49.219 (49.895) Prec@5 75.781 (73.586)
Epoch: [34][5200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0943 (2.2553) Prec@1 54.688 (49.910) Prec@5 72.656 (73.593)
Epoch: [34][5400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.1575 (2.2560) Prec@1 50.000 (49.896) Prec@5 78.125 (73.592)
Epoch: [34][5600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0106 (2.2566) Prec@1 50.000 (49.879) Prec@5 76.562 (73.584)
Epoch: [34][5800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2586 (2.2571) Prec@1 47.656 (49.861) Prec@5 74.219 (73.573)
Epoch: [34][6000/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.1246 (2.2573) Prec@1 51.562 (49.858) Prec@5 76.562 (73.572)
Epoch: [34][6200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0859 (2.2575) Prec@1 56.250 (49.843) Prec@5 76.562 (73.568)
Epoch: [34][6400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.8741 (2.2575) Prec@1 56.250 (49.851) Prec@5 78.906 (73.567)
Epoch: [34][6600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.1376 (2.2578) Prec@1 52.344 (49.857) Prec@5 78.125 (73.559)
Epoch: [34][6800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.4110 (2.2584) Prec@1 53.125 (49.847) Prec@5 71.094 (73.546)
Epoch: [34][7000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2985 (2.2580) Prec@1 49.219 (49.846) Prec@5 71.875 (73.555)
Epoch: [34][7200/10010] Time 0.389 (0.399) Data 0.000 (0.001) Loss 2.0671 (2.2592) Prec@1 54.688 (49.830) Prec@5 74.219 (73.536)
Epoch: [34][7400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2781 (2.2594) Prec@1 52.344 (49.836) Prec@5 75.781 (73.539)
Epoch: [34][7600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1897 (2.2593) Prec@1 47.656 (49.833) Prec@5 75.781 (73.549)
Epoch: [34][7800/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 2.4377 (2.2592) Prec@1 47.656 (49.835) Prec@5 69.531 (73.550)
Epoch: [34][8000/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 1.8714 (2.2593) Prec@1 58.594 (49.836) Prec@5 80.469 (73.547)
Epoch: [34][8200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.1940 (2.2597) Prec@1 51.562 (49.830) Prec@5 71.875 (73.541)
Epoch: [34][8400/10010] Time 0.410 (0.399) Data 0.000 (0.001) Loss 2.3136 (2.2601) Prec@1 47.656 (49.825) Prec@5 75.781 (73.546)
Epoch: [34][8600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1303 (2.2600) Prec@1 48.438 (49.831) Prec@5 76.562 (73.542)
Epoch: [34][8800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.0295 (2.2600) Prec@1 53.125 (49.833) Prec@5 78.125 (73.549)
Epoch: [34][9000/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.2100 (2.2600) Prec@1 53.125 (49.838) Prec@5 75.781 (73.547)
Epoch: [34][9200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.3062 (2.2601) Prec@1 46.094 (49.835) Prec@5 75.000 (73.549)
Epoch: [34][9400/10010] Time 0.406 (0.399) Data 0.001 (0.001) Loss 2.2747 (2.2603) Prec@1 50.781 (49.827) Prec@5 72.656 (73.551)
Epoch: [34][9600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.9953 (2.2602) Prec@1 60.938 (49.835) Prec@5 81.250 (73.555)
Epoch: [34][9800/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.7259 (2.2602) Prec@1 40.625 (49.840) Prec@5 63.281 (73.556)
Epoch: [34][10000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2177 (2.2603) Prec@1 53.906 (49.844) Prec@5 71.875 (73.556)
Test: [0/391] Time 4.931 (4.931) Loss 1.1966 (1.1966) Prec@1 72.656 (72.656) Prec@5 89.062 (89.062)
Test: [200/391] Time 0.166 (0.253) Loss 2.6846 (1.6475) Prec@1 35.156 (59.698) Prec@5 64.062 (83.796)
* Prec@1 55.394 Prec@5 79.440 Loss@ 1.915
==>>[2018-06-22 03:48:32] [Epoch=035/150] [Need: 130:23:15] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.39/79.45, Error=44.61/20.55]
Epoch: [35][0/10010] Time 3.665 (3.665) Data 3.461 (3.461) Loss 2.2143 (2.2143) Prec@1 50.000 (50.000) Prec@5 80.469 (80.469)
Epoch: [35][200/10010] Time 0.403 (0.414) Data 0.000 (0.021) Loss 2.1605 (2.2433) Prec@1 48.438 (50.330) Prec@5 75.000 (73.958)
Epoch: [35][400/10010] Time 0.392 (0.406) Data 0.001 (0.011) Loss 2.0939 (2.2551) Prec@1 52.344 (50.148) Prec@5 76.562 (73.708)
Epoch: [35][600/10010] Time 0.396 (0.404) Data 0.000 (0.007) Loss 2.5667 (2.2479) Prec@1 45.312 (50.169) Prec@5 67.969 (73.704)
Epoch: [35][800/10010] Time 0.402 (0.402) Data 0.000 (0.006) Loss 2.0170 (2.2507) Prec@1 52.344 (50.122) Prec@5 79.688 (73.668)
Epoch: [35][1000/10010] Time 0.401 (0.402) Data 0.000 (0.005) Loss 2.1007 (2.2493) Prec@1 48.438 (50.145) Prec@5 74.219 (73.732)
Epoch: [35][1200/10010] Time 0.394 (0.401) Data 0.000 (0.004) Loss 2.2989 (2.2477) Prec@1 52.344 (50.182) Prec@5 74.219 (73.773)
Epoch: [35][1400/10010] Time 0.397 (0.401) Data 0.000 (0.003) Loss 2.1296 (2.2441) Prec@1 46.094 (50.240) Prec@5 75.000 (73.833)
Epoch: [35][1600/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 2.4619 (2.2435) Prec@1 45.312 (50.223) Prec@5 68.750 (73.843)
Epoch: [35][1800/10010] Time 0.401 (0.400) Data 0.000 (0.003) Loss 2.1048 (2.2467) Prec@1 52.344 (50.206) Prec@5 79.688 (73.814)
Epoch: [35][2000/10010] Time 0.403 (0.400) Data 0.000 (0.003) Loss 2.2156 (2.2462) Prec@1 50.000 (50.162) Prec@5 76.562 (73.824)
Epoch: [35][2200/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 2.1070 (2.2462) Prec@1 50.000 (50.149) Prec@5 75.781 (73.802)
Epoch: [35][2400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.3456 (2.2459) Prec@1 53.906 (50.123) Prec@5 74.219 (73.801)
Epoch: [35][2600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.8968 (2.2477) Prec@1 56.250 (50.088) Prec@5 79.688 (73.765)
Epoch: [35][2800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.0688 (2.2484) Prec@1 50.781 (50.094) Prec@5 77.344 (73.745)
Epoch: [35][3000/10010] Time 0.393 (0.399) Data 0.000 (0.002) Loss 2.2052 (2.2482) Prec@1 52.344 (50.105) Prec@5 72.656 (73.756)
Epoch: [35][3200/10010] Time 0.396 (0.399) Data 0.001 (0.002) Loss 1.9337 (2.2482) Prec@1 56.250 (50.101) Prec@5 82.812 (73.755)
Epoch: [35][3400/10010] Time 0.400 (0.399) Data 0.001 (0.002) Loss 2.4372 (2.2499) Prec@1 45.312 (50.071) Prec@5 72.656 (73.757)
Epoch: [35][3600/10010] Time 0.405 (0.399) Data 0.000 (0.002) Loss 2.0862 (2.2487) Prec@1 47.656 (50.077) Prec@5 78.125 (73.790)
Epoch: [35][3800/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 1.9499 (2.2478) Prec@1 58.594 (50.101) Prec@5 78.906 (73.791)
Epoch: [35][4000/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 2.4029 (2.2486) Prec@1 41.406 (50.064) Prec@5 69.531 (73.754)
Epoch: [35][4200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.1023 (2.2488) Prec@1 53.125 (50.054) Prec@5 75.781 (73.751)
Epoch: [35][4400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0160 (2.2486) Prec@1 50.000 (50.055) Prec@5 82.812 (73.752)
Epoch: [35][4600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.4418 (2.2499) Prec@1 48.438 (50.025) Prec@5 71.875 (73.722)
Epoch: [35][4800/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 1.9920 (2.2513) Prec@1 60.156 (50.010) Prec@5 75.000 (73.692)
Epoch: [35][5000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.4990 (2.2522) Prec@1 46.094 (49.996) Prec@5 67.969 (73.682)
Epoch: [35][5200/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 2.4967 (2.2525) Prec@1 46.094 (49.995) Prec@5 71.094 (73.680)
Epoch: [35][5400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.0475 (2.2522) Prec@1 52.344 (49.995) Prec@5 74.219 (73.688)
Epoch: [35][5600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1472 (2.2523) Prec@1 45.312 (49.992) Prec@5 74.219 (73.691)
Epoch: [35][5800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.3424 (2.2526) Prec@1 46.875 (49.988) Prec@5 72.656 (73.693)
Epoch: [35][6000/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.4266 (2.2530) Prec@1 50.000 (49.983) Prec@5 71.875 (73.695)
Epoch: [35][6200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.1241 (2.2535) Prec@1 52.344 (49.977) Prec@5 74.219 (73.691)
Epoch: [35][6400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.1669 (2.2540) Prec@1 50.000 (49.973) Prec@5 73.438 (73.690)
Epoch: [35][6600/10010] Time 0.410 (0.399) Data 0.000 (0.001) Loss 2.2833 (2.2541) Prec@1 46.875 (49.976) Prec@5 71.094 (73.685)
Epoch: [35][6800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.5198 (2.2551) Prec@1 50.000 (49.953) Prec@5 64.062 (73.657)
Epoch: [35][7000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2027 (2.2561) Prec@1 52.344 (49.933) Prec@5 77.344 (73.639)
Epoch: [35][7200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.2298 (2.2566) Prec@1 49.219 (49.924) Prec@5 75.781 (73.633)
Epoch: [35][7400/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.3772 (2.2558) Prec@1 53.125 (49.931) Prec@5 73.438 (73.644)
Epoch: [35][7600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.0379 (2.2568) Prec@1 51.562 (49.917) Prec@5 76.562 (73.628)
Epoch: [35][7800/10010] Time 0.404 (0.399) Data 0.001 (0.001) Loss 1.8575 (2.2572) Prec@1 56.250 (49.900) Prec@5 84.375 (73.620)
Epoch: [35][8000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.3445 (2.2571) Prec@1 46.094 (49.889) Prec@5 74.219 (73.626)
Epoch: [35][8200/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 2.2455 (2.2578) Prec@1 51.562 (49.885) Prec@5 74.219 (73.617)
Epoch: [35][8400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2121 (2.2577) Prec@1 53.125 (49.891) Prec@5 75.000 (73.622)
Epoch: [35][8600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.3324 (2.2589) Prec@1 48.438 (49.870) Prec@5 75.781 (73.605)
Epoch: [35][8800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.1256 (2.2587) Prec@1 48.438 (49.876) Prec@5 73.438 (73.601)
Epoch: [35][9000/10010] Time 0.410 (0.399) Data 0.000 (0.001) Loss 1.9882 (2.2586) Prec@1 59.375 (49.883) Prec@5 79.688 (73.601)
Epoch: [35][9200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9961 (2.2588) Prec@1 60.156 (49.874) Prec@5 75.000 (73.601)
Epoch: [35][9400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.3324 (2.2586) Prec@1 46.094 (49.877) Prec@5 71.875 (73.605)
Epoch: [35][9600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2447 (2.2593) Prec@1 47.656 (49.868) Prec@5 72.656 (73.594)
Epoch: [35][9800/10010] Time 0.411 (0.399) Data 0.000 (0.001) Loss 2.3173 (2.2594) Prec@1 48.438 (49.869) Prec@5 71.875 (73.593)
Epoch: [35][10000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.1850 (2.2592) Prec@1 48.438 (49.874) Prec@5 72.656 (73.599)
Test: [0/391] Time 4.948 (4.948) Loss 0.9011 (0.9011) Prec@1 81.250 (81.250) Prec@5 92.969 (92.969)
Test: [200/391] Time 0.156 (0.247) Loss 2.2347 (1.6484) Prec@1 48.438 (59.632) Prec@5 73.438 (83.625)
* Prec@1 55.178 Prec@5 79.426 Loss@ 1.908
==>>[2018-06-22 04:56:37] [Epoch=036/150] [Need: 129:22:02] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.39/79.45, Error=44.61/20.55]
Epoch: [36][0/10010] Time 4.454 (4.454) Data 4.269 (4.269) Loss 2.1786 (2.1786) Prec@1 53.125 (53.125) Prec@5 75.781 (75.781)
Epoch: [36][200/10010] Time 0.402 (0.418) Data 0.000 (0.024) Loss 2.1449 (2.2385) Prec@1 50.781 (50.284) Prec@5 75.000 (74.102)
Epoch: [36][400/10010] Time 0.406 (0.408) Data 0.000 (0.012) Loss 2.5386 (2.2225) Prec@1 48.438 (50.682) Prec@5 67.969 (74.289)
Epoch: [36][600/10010] Time 0.404 (0.405) Data 0.000 (0.008) Loss 2.5807 (2.2319) Prec@1 43.750 (50.402) Prec@5 68.750 (74.150)
Epoch: [36][800/10010] Time 0.394 (0.404) Data 0.000 (0.006) Loss 2.4164 (2.2302) Prec@1 46.875 (50.407) Prec@5 71.094 (74.152)
Epoch: [36][1000/10010] Time 0.397 (0.403) Data 0.000 (0.005) Loss 2.3603 (2.2315) Prec@1 43.750 (50.439) Prec@5 70.312 (74.139)
Epoch: [36][1200/10010] Time 0.395 (0.402) Data 0.000 (0.004) Loss 2.3298 (2.2338) Prec@1 48.438 (50.351) Prec@5 71.094 (74.067)
Epoch: [36][1400/10010] Time 0.400 (0.402) Data 0.000 (0.004) Loss 2.4798 (2.2343) Prec@1 46.094 (50.308) Prec@5 67.969 (74.051)
Epoch: [36][1600/10010] Time 0.394 (0.401) Data 0.000 (0.003) Loss 2.1823 (2.2332) Prec@1 58.594 (50.304) Prec@5 75.781 (74.046)
Epoch: [36][1800/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 2.2735 (2.2326) Prec@1 48.438 (50.290) Prec@5 74.219 (74.043)
Epoch: [36][2000/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.7610 (2.2339) Prec@1 61.719 (50.252) Prec@5 82.812 (74.044)
Epoch: [36][2200/10010] Time 0.403 (0.401) Data 0.000 (0.003) Loss 2.1371 (2.2345) Prec@1 54.688 (50.259) Prec@5 77.344 (74.041)
Epoch: [36][2400/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.4497 (2.2363) Prec@1 51.562 (50.206) Prec@5 74.219 (74.018)
Epoch: [36][2600/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 2.3141 (2.2370) Prec@1 52.344 (50.171) Prec@5 72.656 (73.998)
Epoch: [36][2800/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 2.3172 (2.2401) Prec@1 45.312 (50.107) Prec@5 73.438 (73.961)
Epoch: [36][3000/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.9665 (2.2393) Prec@1 59.375 (50.156) Prec@5 82.031 (73.966)
Epoch: [36][3200/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 2.3963 (2.2412) Prec@1 51.562 (50.134) Prec@5 71.094 (73.924)
Epoch: [36][3400/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 2.1173 (2.2425) Prec@1 52.344 (50.105) Prec@5 72.656 (73.905)
Epoch: [36][3600/10010] Time 0.391 (0.400) Data 0.000 (0.002) Loss 2.1672 (2.2431) Prec@1 51.562 (50.096) Prec@5 77.344 (73.879)
Epoch: [36][3800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.5970 (2.2437) Prec@1 42.969 (50.083) Prec@5 68.750 (73.853)
Epoch: [36][4000/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.3357 (2.2432) Prec@1 48.438 (50.098) Prec@5 70.312 (73.860)
Epoch: [36][4200/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.2521 (2.2440) Prec@1 48.438 (50.086) Prec@5 74.219 (73.835)
Epoch: [36][4400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.5599 (2.2441) Prec@1 40.625 (50.089) Prec@5 70.312 (73.834)
Epoch: [36][4600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.3584 (2.2448) Prec@1 49.219 (50.081) Prec@5 72.656 (73.831)
Epoch: [36][4800/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 2.3337 (2.2464) Prec@1 52.344 (50.060) Prec@5 73.438 (73.804)
Epoch: [36][5000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.1450 (2.2465) Prec@1 50.781 (50.047) Prec@5 75.781 (73.806)
Epoch: [36][5200/10010] Time 0.397 (0.400) Data 0.001 (0.001) Loss 2.0521 (2.2474) Prec@1 57.812 (50.027) Prec@5 74.219 (73.787)
Epoch: [36][5400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.0385 (2.2487) Prec@1 54.688 (50.007) Prec@5 77.344 (73.764)
Epoch: [36][5600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.3089 (2.2495) Prec@1 50.781 (49.999) Prec@5 69.531 (73.756)
Epoch: [36][5800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.0818 (2.2497) Prec@1 52.344 (49.995) Prec@5 78.906 (73.742)
Epoch: [36][6000/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 2.0446 (2.2503) Prec@1 50.000 (49.968) Prec@5 81.250 (73.740)
Epoch: [36][6200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.8870 (2.2513) Prec@1 54.688 (49.952) Prec@5 78.906 (73.731)
Epoch: [36][6400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.4667 (2.2517) Prec@1 47.656 (49.949) Prec@5 71.875 (73.715)
Epoch: [36][6600/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.1298 (2.2517) Prec@1 48.438 (49.958) Prec@5 77.344 (73.724)
Epoch: [36][6800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.4347 (2.2519) Prec@1 46.875 (49.950) Prec@5 71.875 (73.729)
Epoch: [36][7000/10010] Time 0.403 (0.399) Data 0.001 (0.001) Loss 2.2091 (2.2522) Prec@1 53.906 (49.938) Prec@5 76.562 (73.716)
Epoch: [36][7200/10010] Time 0.409 (0.399) Data 0.000 (0.001) Loss 2.0925 (2.2524) Prec@1 49.219 (49.931) Prec@5 77.344 (73.713)
Epoch: [36][7400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.3655 (2.2525) Prec@1 46.875 (49.930) Prec@5 70.312 (73.710)
Epoch: [36][7600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.2844 (2.2528) Prec@1 48.438 (49.921) Prec@5 70.312 (73.706)
Epoch: [36][7800/10010] Time 0.406 (0.399) Data 0.001 (0.001) Loss 2.5321 (2.2534) Prec@1 45.312 (49.913) Prec@5 67.188 (73.697)
Epoch: [36][8000/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.1667 (2.2532) Prec@1 45.312 (49.921) Prec@5 76.562 (73.702)
Epoch: [36][8200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.5920 (2.2535) Prec@1 50.000 (49.908) Prec@5 67.188 (73.699)
Epoch: [36][8400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.4539 (2.2533) Prec@1 44.531 (49.915) Prec@5 70.312 (73.696)
Epoch: [36][8600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.4123 (2.2540) Prec@1 44.531 (49.896) Prec@5 67.969 (73.685)
Epoch: [36][8800/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.5209 (2.2540) Prec@1 42.969 (49.901) Prec@5 70.312 (73.684)
Epoch: [36][9000/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.1507 (2.2542) Prec@1 53.125 (49.901) Prec@5 76.562 (73.681)
Epoch: [36][9200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0317 (2.2549) Prec@1 50.781 (49.892) Prec@5 75.781 (73.670)
Epoch: [36][9400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2127 (2.2554) Prec@1 46.094 (49.890) Prec@5 75.781 (73.662)
Epoch: [36][9600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.8651 (2.2553) Prec@1 57.812 (49.892) Prec@5 82.031 (73.665)
Epoch: [36][9800/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.2309 (2.2555) Prec@1 49.219 (49.900) Prec@5 75.000 (73.663)
Epoch: [36][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2359 (2.2556) Prec@1 51.562 (49.902) Prec@5 73.438 (73.662)
Test: [0/391] Time 4.191 (4.191) Loss 0.8995 (0.8995) Prec@1 77.344 (77.344) Prec@5 89.844 (89.844)
Test: [200/391] Time 0.160 (0.244) Loss 2.4956 (1.6453) Prec@1 39.062 (59.834) Prec@5 67.969 (83.745)
* Prec@1 55.390 Prec@5 79.430 Loss@ 1.909
==>>[2018-06-22 06:04:49] [Epoch=037/150] [Need: 128:25:36] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.39/79.45, Error=44.61/20.55]
Epoch: [37][0/10010] Time 4.983 (4.983) Data 4.805 (4.805) Loss 2.1752 (2.1752) Prec@1 50.781 (50.781) Prec@5 76.562 (76.562)
Epoch: [37][200/10010] Time 0.397 (0.421) Data 0.000 (0.025) Loss 2.3211 (2.2200) Prec@1 46.875 (50.389) Prec@5 68.750 (74.110)
Epoch: [37][400/10010] Time 0.397 (0.410) Data 0.000 (0.013) Loss 2.1509 (2.2279) Prec@1 51.562 (50.357) Prec@5 75.000 (73.969)
Epoch: [37][600/10010] Time 0.395 (0.406) Data 0.000 (0.009) Loss 2.1783 (2.2335) Prec@1 53.906 (50.229) Prec@5 75.000 (73.921)
Epoch: [37][800/10010] Time 0.393 (0.404) Data 0.000 (0.007) Loss 2.2343 (2.2351) Prec@1 46.875 (50.148) Prec@5 71.094 (73.903)
Epoch: [37][1000/10010] Time 0.403 (0.403) Data 0.000 (0.005) Loss 1.9737 (2.2379) Prec@1 49.219 (50.170) Prec@5 74.219 (73.811)
Epoch: [37][1200/10010] Time 0.398 (0.403) Data 0.000 (0.005) Loss 2.5347 (2.2409) Prec@1 40.625 (50.152) Prec@5 73.438 (73.803)
Epoch: [37][1400/10010] Time 0.399 (0.402) Data 0.000 (0.004) Loss 2.3813 (2.2454) Prec@1 47.656 (50.107) Prec@5 72.656 (73.726)
Epoch: [37][1600/10010] Time 0.396 (0.402) Data 0.000 (0.004) Loss 1.8998 (2.2472) Prec@1 57.031 (50.109) Prec@5 82.031 (73.717)
Epoch: [37][1800/10010] Time 0.394 (0.402) Data 0.000 (0.003) Loss 2.0452 (2.2480) Prec@1 51.562 (50.017) Prec@5 77.344 (73.690)
Epoch: [37][2000/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.0532 (2.2472) Prec@1 46.875 (50.037) Prec@5 77.344 (73.714)
Epoch: [37][2200/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 2.1334 (2.2466) Prec@1 55.469 (50.031) Prec@5 75.000 (73.746)
Epoch: [37][2400/10010] Time 0.394 (0.401) Data 0.000 (0.003) Loss 1.8902 (2.2482) Prec@1 56.250 (50.020) Prec@5 78.906 (73.714)
Epoch: [37][2600/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 2.1752 (2.2485) Prec@1 55.469 (49.997) Prec@5 74.219 (73.706)
Epoch: [37][2800/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 2.6881 (2.2482) Prec@1 49.219 (50.003) Prec@5 65.625 (73.711)
Epoch: [37][3000/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 2.3241 (2.2474) Prec@1 46.875 (50.014) Prec@5 67.969 (73.719)
Epoch: [37][3200/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 2.3407 (2.2474) Prec@1 48.438 (50.041) Prec@5 70.312 (73.740)
Epoch: [37][3400/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 2.0781 (2.2474) Prec@1 55.469 (50.048) Prec@5 76.562 (73.738)
Epoch: [37][3600/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 2.2792 (2.2491) Prec@1 53.906 (50.006) Prec@5 75.000 (73.710)
Epoch: [37][3800/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.2622 (2.2498) Prec@1 48.438 (50.002) Prec@5 77.344 (73.700)
Epoch: [37][4000/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 2.4284 (2.2507) Prec@1 47.656 (49.980) Prec@5 69.531 (73.693)
Epoch: [37][4200/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 2.7282 (2.2507) Prec@1 38.281 (50.000) Prec@5 68.750 (73.689)
Epoch: [37][4400/10010] Time 0.389 (0.400) Data 0.000 (0.002) Loss 2.0287 (2.2504) Prec@1 59.375 (50.007) Prec@5 78.125 (73.702)
Epoch: [37][4600/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.0158 (2.2508) Prec@1 52.344 (50.015) Prec@5 76.562 (73.686)
Epoch: [37][4800/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.6230 (2.2525) Prec@1 42.969 (50.012) Prec@5 68.750 (73.656)
Epoch: [37][5000/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 2.0309 (2.2530) Prec@1 51.562 (50.001) Prec@5 78.125 (73.645)
Epoch: [37][5200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.6273 (2.2533) Prec@1 38.281 (49.990) Prec@5 66.406 (73.636)
Epoch: [37][5400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.3239 (2.2528) Prec@1 48.438 (49.997) Prec@5 73.438 (73.649)
Epoch: [37][5600/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.2336 (2.2528) Prec@1 58.594 (49.997) Prec@5 75.000 (73.650)
Epoch: [37][5800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 2.3365 (2.2534) Prec@1 53.125 (49.986) Prec@5 75.781 (73.640)
Epoch: [37][6000/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 1.9453 (2.2527) Prec@1 52.344 (49.978) Prec@5 78.125 (73.656)
Epoch: [37][6200/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.2852 (2.2528) Prec@1 47.656 (49.974) Prec@5 72.656 (73.663)
Epoch: [37][6400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.2656 (2.2532) Prec@1 50.781 (49.959) Prec@5 68.750 (73.653)
Epoch: [37][6600/10010] Time 0.390 (0.400) Data 0.000 (0.001) Loss 2.2718 (2.2534) Prec@1 42.969 (49.960) Prec@5 78.906 (73.652)
Epoch: [37][6800/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.5295 (2.2537) Prec@1 39.844 (49.951) Prec@5 68.750 (73.647)
Epoch: [37][7000/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 2.2343 (2.2540) Prec@1 49.219 (49.948) Prec@5 75.781 (73.638)
Epoch: [37][7200/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.6074 (2.2537) Prec@1 43.750 (49.956) Prec@5 69.531 (73.643)
Epoch: [37][7400/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 2.5085 (2.2538) Prec@1 46.875 (49.964) Prec@5 67.188 (73.645)
Epoch: [37][7600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.0683 (2.2536) Prec@1 53.125 (49.970) Prec@5 73.438 (73.650)
Epoch: [37][7800/10010] Time 0.412 (0.400) Data 0.000 (0.001) Loss 2.4554 (2.2539) Prec@1 46.875 (49.963) Prec@5 69.531 (73.647)
Epoch: [37][8000/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.9996 (2.2541) Prec@1 60.156 (49.956) Prec@5 78.906 (73.647)
Epoch: [37][8200/10010] Time 0.398 (0.400) Data 0.001 (0.001) Loss 2.2112 (2.2539) Prec@1 53.125 (49.958) Prec@5 70.312 (73.646)
Epoch: [37][8400/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 2.4513 (2.2542) Prec@1 50.781 (49.955) Prec@5 71.094 (73.642)
Epoch: [37][8600/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 2.1065 (2.2543) Prec@1 48.438 (49.957) Prec@5 75.000 (73.637)
Epoch: [37][8800/10010] Time 0.402 (0.400) Data 0.001 (0.001) Loss 2.4602 (2.2546) Prec@1 46.875 (49.946) Prec@5 66.406 (73.635)
Epoch: [37][9000/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.0023 (2.2543) Prec@1 57.812 (49.950) Prec@5 80.469 (73.639)
Epoch: [37][9200/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 2.6923 (2.2539) Prec@1 42.969 (49.966) Prec@5 64.062 (73.645)
Epoch: [37][9400/10010] Time 0.395 (0.400) Data 0.001 (0.001) Loss 2.3259 (2.2544) Prec@1 45.312 (49.948) Prec@5 74.219 (73.635)
Epoch: [37][9600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.1612 (2.2550) Prec@1 50.000 (49.939) Prec@5 73.438 (73.623)
Epoch: [37][9800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.1071 (2.2551) Prec@1 45.312 (49.932) Prec@5 78.125 (73.625)
Epoch: [37][10000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.3718 (2.2552) Prec@1 46.875 (49.939) Prec@5 68.750 (73.621)
Test: [0/391] Time 4.657 (4.657) Loss 0.5856 (0.5856) Prec@1 87.500 (87.500) Prec@5 96.875 (96.875)
Test: [200/391] Time 0.139 (0.252) Loss 1.9182 (1.6961) Prec@1 53.125 (58.675) Prec@5 82.031 (83.003)
* Prec@1 54.312 Prec@5 78.476 Loss@ 1.972
==>>[2018-06-22 07:13:02] [Epoch=038/150] [Need: 127:20:46] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.39/79.45, Error=44.61/20.55]
Epoch: [38][0/10010] Time 4.000 (4.000) Data 3.837 (3.837) Loss 2.1679 (2.1679) Prec@1 50.000 (50.000) Prec@5 72.656 (72.656)
Epoch: [38][200/10010] Time 0.394 (0.416) Data 0.000 (0.021) Loss 2.1942 (2.2227) Prec@1 52.344 (50.315) Prec@5 71.875 (73.974)
Epoch: [38][400/10010] Time 0.394 (0.408) Data 0.000 (0.011) Loss 2.5665 (2.2153) Prec@1 41.406 (50.690) Prec@5 68.750 (74.219)
Epoch: [38][600/10010] Time 0.400 (0.405) Data 0.001 (0.007) Loss 2.2769 (2.2194) Prec@1 47.656 (50.588) Prec@5 77.344 (74.191)
Epoch: [38][800/10010] Time 0.398 (0.403) Data 0.000 (0.006) Loss 2.1072 (2.2220) Prec@1 49.219 (50.504) Prec@5 76.562 (74.063)
Epoch: [38][1000/10010] Time 0.401 (0.403) Data 0.000 (0.005) Loss 2.1985 (2.2261) Prec@1 50.781 (50.474) Prec@5 72.656 (74.033)
Epoch: [38][1200/10010] Time 0.408 (0.402) Data 0.000 (0.004) Loss 2.3288 (2.2324) Prec@1 46.094 (50.369) Prec@5 71.875 (73.978)
Epoch: [38][1400/10010] Time 0.410 (0.402) Data 0.000 (0.003) Loss 1.8475 (2.2311) Prec@1 57.812 (50.410) Prec@5 76.562 (74.000)
Epoch: [38][1600/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 2.3951 (2.2324) Prec@1 44.531 (50.415) Prec@5 72.656 (73.946)
Epoch: [38][1800/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 2.1415 (2.2352) Prec@1 49.219 (50.366) Prec@5 76.562 (73.910)
Epoch: [38][2000/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 2.3443 (2.2365) Prec@1 47.656 (50.352) Prec@5 69.531 (73.885)
Epoch: [38][2200/10010] Time 0.393 (0.401) Data 0.000 (0.002) Loss 2.5131 (2.2407) Prec@1 53.906 (50.297) Prec@5 67.188 (73.817)
Epoch: [38][2400/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 2.4227 (2.2405) Prec@1 45.312 (50.274) Prec@5 71.094 (73.839)
Epoch: [38][2600/10010] Time 0.397 (0.401) Data 0.001 (0.002) Loss 2.0145 (2.2407) Prec@1 54.688 (50.292) Prec@5 79.688 (73.840)
Epoch: [38][2800/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 2.3989 (2.2410) Prec@1 46.094 (50.281) Prec@5 75.781 (73.845)
Epoch: [38][3000/10010] Time 0.412 (0.400) Data 0.000 (0.002) Loss 2.0031 (2.2399) Prec@1 56.250 (50.276) Prec@5 75.781 (73.867)
Epoch: [38][3200/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 2.2858 (2.2417) Prec@1 51.562 (50.247) Prec@5 72.656 (73.833)
Epoch: [38][3400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.5359 (2.2419) Prec@1 50.000 (50.247) Prec@5 66.406 (73.822)
Epoch: [38][3600/10010] Time 0.401 (0.400) Data 0.001 (0.002) Loss 2.6137 (2.2421) Prec@1 42.188 (50.252) Prec@5 70.312 (73.813)
Epoch: [38][3800/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 2.5853 (2.2418) Prec@1 40.625 (50.229) Prec@5 64.844 (73.818)
Epoch: [38][4000/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 2.4724 (2.2428) Prec@1 45.312 (50.226) Prec@5 69.531 (73.793)
Epoch: [38][4200/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 2.3223 (2.2428) Prec@1 52.344 (50.211) Prec@5 72.656 (73.798)
Epoch: [38][4400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.4439 (2.2431) Prec@1 45.312 (50.205) Prec@5 69.531 (73.801)
Epoch: [38][4600/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 2.0382 (2.2432) Prec@1 59.375 (50.200) Prec@5 75.781 (73.801)
Epoch: [38][4800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.2895 (2.2448) Prec@1 44.531 (50.179) Prec@5 75.000 (73.784)
Epoch: [38][5000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.2105 (2.2446) Prec@1 45.312 (50.179) Prec@5 74.219 (73.791)
Epoch: [38][5200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.5568 (2.2438) Prec@1 46.875 (50.188) Prec@5 65.625 (73.804)
Epoch: [38][5400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.2631 (2.2439) Prec@1 42.188 (50.183) Prec@5 72.656 (73.806)
Epoch: [38][5600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.3077 (2.2449) Prec@1 50.781 (50.159) Prec@5 71.094 (73.781)
Epoch: [38][5800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.9784 (2.2451) Prec@1 53.906 (50.153) Prec@5 78.906 (73.781)
Epoch: [38][6000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.0660 (2.2454) Prec@1 57.812 (50.145) Prec@5 76.562 (73.776)
Epoch: [38][6200/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 2.3393 (2.2469) Prec@1 46.094 (50.119) Prec@5 73.438 (73.754)
Epoch: [38][6400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.3247 (2.2473) Prec@1 46.875 (50.104) Prec@5 74.219 (73.751)
Epoch: [38][6600/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 2.1503 (2.2467) Prec@1 51.562 (50.106) Prec@5 75.000 (73.757)
Epoch: [38][6800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.3091 (2.2462) Prec@1 46.094 (50.112) Prec@5 73.438 (73.772)
Epoch: [38][7000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.0906 (2.2471) Prec@1 50.000 (50.086) Prec@5 79.688 (73.763)
Epoch: [38][7200/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 2.2663 (2.2482) Prec@1 52.344 (50.062) Prec@5 75.781 (73.742)
Epoch: [38][7400/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 2.6302 (2.2481) Prec@1 42.969 (50.066) Prec@5 71.094 (73.740)
Epoch: [38][7600/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 2.6082 (2.2481) Prec@1 42.188 (50.063) Prec@5 68.750 (73.742)
Epoch: [38][7800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 2.7865 (2.2492) Prec@1 45.312 (50.035) Prec@5 68.750 (73.722)
Epoch: [38][8000/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.3574 (2.2496) Prec@1 46.094 (50.018) Prec@5 71.094 (73.719)
Epoch: [38][8200/10010] Time 0.388 (0.400) Data 0.000 (0.001) Loss 2.3901 (2.2503) Prec@1 47.656 (50.002) Prec@5 69.531 (73.708)
Epoch: [38][8400/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 2.0657 (2.2509) Prec@1 51.562 (49.981) Prec@5 78.906 (73.707)
Epoch: [38][8600/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 2.0636 (2.2511) Prec@1 52.344 (49.976) Prec@5 78.906 (73.711)
Epoch: [38][8800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.5176 (2.2514) Prec@1 46.094 (49.974) Prec@5 65.625 (73.709)
Epoch: [38][9000/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.3580 (2.2518) Prec@1 45.312 (49.968) Prec@5 69.531 (73.705)
Epoch: [38][9200/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 2.0756 (2.2517) Prec@1 60.938 (49.973) Prec@5 77.344 (73.711)
Epoch: [38][9400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.1239 (2.2520) Prec@1 50.000 (49.972) Prec@5 72.656 (73.707)
Epoch: [38][9600/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.0651 (2.2521) Prec@1 51.562 (49.969) Prec@5 75.781 (73.703)
Epoch: [38][9800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.3203 (2.2526) Prec@1 50.781 (49.959) Prec@5 76.562 (73.692)
Epoch: [38][10000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.0009 (2.2527) Prec@1 53.906 (49.946) Prec@5 72.656 (73.695)
Test: [0/391] Time 5.067 (5.067) Loss 0.8707 (0.8707) Prec@1 80.469 (80.469) Prec@5 93.750 (93.750)
Test: [200/391] Time 0.174 (0.245) Loss 2.5834 (1.6522) Prec@1 39.844 (59.138) Prec@5 67.969 (83.671)
* Prec@1 54.898 Prec@5 79.242 Loss@ 1.925
==>>[2018-06-22 08:21:16] [Epoch=039/150] [Need: 126:13:19] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.39/79.45, Error=44.61/20.55]
Epoch: [39][0/10010] Time 4.606 (4.606) Data 4.446 (4.446) Loss 2.0931 (2.0931) Prec@1 53.906 (53.906) Prec@5 76.562 (76.562)
Epoch: [39][200/10010] Time 0.390 (0.419) Data 0.000 (0.024) Loss 2.2252 (2.2255) Prec@1 47.656 (50.785) Prec@5 72.656 (73.795)
Epoch: [39][400/10010] Time 0.403 (0.410) Data 0.000 (0.012) Loss 2.4654 (2.2241) Prec@1 47.656 (50.653) Prec@5 71.094 (73.928)
Epoch: [39][600/10010] Time 0.399 (0.406) Data 0.001 (0.008) Loss 2.3599 (2.2235) Prec@1 46.875 (50.708) Prec@5 68.750 (74.065)
Epoch: [39][800/10010] Time 0.401 (0.405) Data 0.001 (0.006) Loss 2.3397 (2.2320) Prec@1 52.344 (50.508) Prec@5 69.531 (73.890)
Epoch: [39][1000/10010] Time 0.400 (0.403) Data 0.000 (0.005) Loss 2.2743 (2.2291) Prec@1 50.000 (50.519) Prec@5 74.219 (73.967)
Epoch: [39][1200/10010] Time 0.404 (0.403) Data 0.000 (0.004) Loss 2.3469 (2.2261) Prec@1 50.000 (50.602) Prec@5 71.094 (74.022)
Epoch: [39][1400/10010] Time 0.398 (0.402) Data 0.000 (0.004) Loss 2.3630 (2.2296) Prec@1 42.969 (50.531) Prec@5 70.312 (73.995)
Epoch: [39][1600/10010] Time 0.400 (0.402) Data 0.000 (0.003) Loss 2.3439 (2.2281) Prec@1 47.656 (50.511) Prec@5 71.094 (74.033)
Epoch: [39][1800/10010] Time 0.397 (0.402) Data 0.000 (0.003) Loss 2.1491 (2.2283) Prec@1 50.781 (50.509) Prec@5 79.688 (74.022)
Epoch: [39][2000/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 2.2260 (2.2302) Prec@1 51.562 (50.422) Prec@5 73.438 (74.009)
Epoch: [39][2200/10010] Time 0.397 (0.401) Data 0.000 (0.003) Loss 2.5293 (2.2304) Prec@1 44.531 (50.455) Prec@5 68.750 (73.998)
Epoch: [39][2400/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 2.3685 (2.2337) Prec@1 46.094 (50.432) Prec@5 72.656 (73.956)
Epoch: [39][2600/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 1.9896 (2.2320) Prec@1 56.250 (50.440) Prec@5 76.562 (73.975)
Epoch: [39][2800/10010] Time 0.394 (0.401) Data 0.000 (0.002) Loss 2.1503 (2.2322) Prec@1 51.562 (50.446) Prec@5 75.781 (73.987)
Epoch: [39][3000/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 2.1338 (2.2343) Prec@1 54.688 (50.393) Prec@5 73.438 (73.958)
Epoch: [39][3200/10010] Time 0.397 (0.401) Data 0.000 (0.002) Loss 2.6529 (2.2334) Prec@1 46.875 (50.401) Prec@5 66.406 (73.967)
Epoch: [39][3400/10010] Time 0.403 (0.401) Data 0.000 (0.002) Loss 2.2023 (2.2345) Prec@1 49.219 (50.347) Prec@5 71.875 (73.955)
Epoch: [39][3600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.0618 (2.2359) Prec@1 53.125 (50.319) Prec@5 78.125 (73.920)
Epoch: [39][3800/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.5330 (2.2367) Prec@1 44.531 (50.323) Prec@5 68.750 (73.894)
Epoch: [39][4000/10010] Time 0.407 (0.400) Data 0.000 (0.002) Loss 2.0777 (2.2368) Prec@1 51.562 (50.298) Prec@5 75.781 (73.905)
Epoch: [39][4200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.3035 (2.2375) Prec@1 46.875 (50.273) Prec@5 71.094 (73.902)
Epoch: [39][4400/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 2.3399 (2.2394) Prec@1 45.312 (50.245) Prec@5 69.531 (73.872)
Epoch: [39][4600/10010] Time 0.411 (0.400) Data 0.000 (0.001) Loss 2.2748 (2.2390) Prec@1 47.656 (50.247) Prec@5 74.219 (73.869)
Epoch: [39][4800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.2507 (2.2399) Prec@1 50.000 (50.244) Prec@5 75.000 (73.844)
Epoch: [39][5000/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.4459 (2.2407) Prec@1 46.094 (50.214) Prec@5 75.000 (73.841)
Epoch: [39][5200/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.7645 (2.2417) Prec@1 39.062 (50.206) Prec@5 68.750 (73.819)
Epoch: [39][5400/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 2.2262 (2.2425) Prec@1 53.906 (50.188) Prec@5 71.875 (73.810)
Epoch: [39][5600/10010] Time 0.398 (0.400) Data 0.001 (0.001) Loss 1.7296 (2.2426) Prec@1 54.688 (50.167) Prec@5 80.469 (73.804)
Epoch: [39][5800/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 2.4262 (2.2434) Prec@1 45.312 (50.162) Prec@5 69.531 (73.792)
Epoch: [39][6000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.4796 (2.2443) Prec@1 50.781 (50.140) Prec@5 67.969 (73.784)
Epoch: [39][6200/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 2.2836 (2.2437) Prec@1 46.094 (50.162) Prec@5 74.219 (73.796)
Epoch: [39][6400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.6529 (2.2439) Prec@1 42.188 (50.157) Prec@5 65.625 (73.796)
Epoch: [39][6600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.4441 (2.2442) Prec@1 53.125 (50.148) Prec@5 70.312 (73.790)
Epoch: [39][6800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.0749 (2.2442) Prec@1 57.812 (50.156) Prec@5 78.125 (73.795)
Epoch: [39][7000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.5440 (2.2445) Prec@1 47.656 (50.144) Prec@5 71.875 (73.799)
Epoch: [39][7200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.0816 (2.2445) Prec@1 53.906 (50.141) Prec@5 78.906 (73.800)
Epoch: [39][7400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.2180 (2.2443) Prec@1 52.344 (50.135) Prec@5 72.656 (73.799)
Epoch: [39][7600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.4044 (2.2452) Prec@1 46.875 (50.121) Prec@5 73.438 (73.784)
Epoch: [39][7800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.3108 (2.2452) Prec@1 51.562 (50.117) Prec@5 69.531 (73.786)
Epoch: [39][8000/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.1404 (2.2462) Prec@1 47.656 (50.094) Prec@5 75.781 (73.770)
Epoch: [39][8200/10010] Time 0.410 (0.400) Data 0.000 (0.001) Loss 2.0077 (2.2457) Prec@1 53.125 (50.109) Prec@5 78.125 (73.781)
Epoch: [39][8400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.1794 (2.2465) Prec@1 46.094 (50.097) Prec@5 74.219 (73.770)
Epoch: [39][8600/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 2.0923 (2.2462) Prec@1 47.656 (50.104) Prec@5 70.312 (73.776)
Epoch: [39][8800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.5355 (2.2466) Prec@1 48.438 (50.092) Prec@5 70.312 (73.771)
Epoch: [39][9000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.0644 (2.2466) Prec@1 51.562 (50.089) Prec@5 70.312 (73.768)
Epoch: [39][9200/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.8568 (2.2460) Prec@1 51.562 (50.096) Prec@5 82.031 (73.776)
Epoch: [39][9400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.5468 (2.2466) Prec@1 44.531 (50.085) Prec@5 70.312 (73.761)
Epoch: [39][9600/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.2389 (2.2466) Prec@1 50.000 (50.088) Prec@5 75.781 (73.761)
Epoch: [39][9800/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 2.3276 (2.2467) Prec@1 45.312 (50.088) Prec@5 75.000 (73.759)
Epoch: [39][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.4672 (2.2473) Prec@1 48.438 (50.072) Prec@5 71.875 (73.748)
Test: [0/391] Time 4.797 (4.797) Loss 1.0296 (1.0296) Prec@1 81.250 (81.250) Prec@5 88.281 (88.281)
Test: [200/391] Time 0.160 (0.246) Loss 2.3195 (1.6581) Prec@1 47.656 (59.530) Prec@5 68.750 (83.532)
* Prec@1 55.460 Prec@5 79.658 Loss@ 1.904
==>>[2018-06-22 09:29:27] [Epoch=040/150] [Need: 125:00:45] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.46/79.66, Error=44.54/20.34]
Epoch: [40][0/10010] Time 4.484 (4.484) Data 4.308 (4.308) Loss 2.3911 (2.3911) Prec@1 43.750 (43.750) Prec@5 67.969 (67.969)
Epoch: [40][200/10010] Time 0.397 (0.418) Data 0.000 (0.024) Loss 2.1692 (2.2411) Prec@1 52.344 (50.385) Prec@5 72.656 (73.640)
Epoch: [40][400/10010] Time 0.401 (0.408) Data 0.000 (0.012) Loss 1.8450 (2.2306) Prec@1 57.031 (50.421) Prec@5 80.469 (74.117)
Epoch: [40][600/10010] Time 0.402 (0.404) Data 0.000 (0.008) Loss 1.8778 (2.2260) Prec@1 58.594 (50.433) Prec@5 77.344 (74.172)
Epoch: [40][800/10010] Time 0.401 (0.403) Data 0.001 (0.006) Loss 2.4172 (2.2216) Prec@1 45.312 (50.477) Prec@5 71.094 (74.212)
Epoch: [40][1000/10010] Time 0.401 (0.402) Data 0.000 (0.005) Loss 2.2073 (2.2276) Prec@1 50.000 (50.407) Prec@5 73.438 (74.083)
Epoch: [40][1200/10010] Time 0.403 (0.401) Data 0.000 (0.004) Loss 2.2459 (2.2247) Prec@1 53.125 (50.481) Prec@5 73.438 (74.067)
Epoch: [40][1400/10010] Time 0.397 (0.401) Data 0.000 (0.004) Loss 2.4886 (2.2247) Prec@1 50.000 (50.471) Prec@5 70.312 (74.070)
Epoch: [40][1600/10010] Time 0.395 (0.400) Data 0.001 (0.003) Loss 1.8260 (2.2245) Prec@1 54.688 (50.411) Prec@5 82.031 (74.091)
Epoch: [40][1800/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 2.1049 (2.2230) Prec@1 53.906 (50.425) Prec@5 76.562 (74.114)
Epoch: [40][2000/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 1.9544 (2.2222) Prec@1 49.219 (50.438) Prec@5 76.562 (74.140)
Epoch: [40][2200/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 2.1779 (2.2238) Prec@1 52.344 (50.435) Prec@5 75.781 (74.109)
Epoch: [40][2400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.5790 (2.2238) Prec@1 42.188 (50.458) Prec@5 68.750 (74.101)
Epoch: [40][2600/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.0433 (2.2251) Prec@1 57.031 (50.409) Prec@5 78.906 (74.062)
Epoch: [40][2800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.2861 (2.2257) Prec@1 47.656 (50.413) Prec@5 73.438 (74.057)
Epoch: [40][3000/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.0559 (2.2266) Prec@1 52.344 (50.411) Prec@5 78.906 (74.038)
Epoch: [40][3200/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.5210 (2.2273) Prec@1 45.312 (50.388) Prec@5 71.875 (74.035)
Epoch: [40][3400/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 2.4881 (2.2267) Prec@1 46.094 (50.389) Prec@5 67.188 (74.057)
Epoch: [40][3600/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 2.2082 (2.2265) Prec@1 48.438 (50.404) Prec@5 74.219 (74.057)
Epoch: [40][3800/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.6805 (2.2270) Prec@1 42.188 (50.394) Prec@5 61.719 (74.052)
Epoch: [40][4000/10010] Time 0.390 (0.399) Data 0.000 (0.002) Loss 2.4002 (2.2285) Prec@1 46.094 (50.360) Prec@5 67.188 (74.038)
Epoch: [40][4200/10010] Time 0.402 (0.399) Data 0.000 (0.002) Loss 2.5516 (2.2287) Prec@1 48.438 (50.357) Prec@5 70.312 (74.044)
Epoch: [40][4400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.8371 (2.2291) Prec@1 55.469 (50.337) Prec@5 80.469 (74.039)
Epoch: [40][4600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.4342 (2.2304) Prec@1 45.312 (50.314) Prec@5 72.656 (74.015)
Epoch: [40][4800/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.4010 (2.2306) Prec@1 46.875 (50.314) Prec@5 69.531 (74.007)
Epoch: [40][5000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2643 (2.2305) Prec@1 52.344 (50.313) Prec@5 71.875 (74.021)
Epoch: [40][5200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.8806 (2.2312) Prec@1 54.688 (50.319) Prec@5 79.688 (74.016)
Epoch: [40][5400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1335 (2.2322) Prec@1 51.562 (50.306) Prec@5 74.219 (73.999)
Epoch: [40][5600/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.2019 (2.2316) Prec@1 56.250 (50.326) Prec@5 75.781 (74.011)
Epoch: [40][5800/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.3584 (2.2325) Prec@1 50.781 (50.310) Prec@5 71.094 (73.994)
Epoch: [40][6000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1888 (2.2337) Prec@1 53.906 (50.301) Prec@5 69.531 (73.971)
Epoch: [40][6200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.1484 (2.2346) Prec@1 53.125 (50.278) Prec@5 76.562 (73.960)
Epoch: [40][6400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.1557 (2.2351) Prec@1 53.125 (50.272) Prec@5 73.438 (73.957)
Epoch: [40][6600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1159 (2.2351) Prec@1 50.781 (50.264) Prec@5 80.469 (73.961)
Epoch: [40][6800/10010] Time 0.392 (0.399) Data 0.001 (0.001) Loss 1.8061 (2.2352) Prec@1 60.938 (50.269) Prec@5 82.031 (73.959)
Epoch: [40][7000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1827 (2.2356) Prec@1 51.562 (50.258) Prec@5 72.656 (73.958)
Epoch: [40][7200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1123 (2.2362) Prec@1 54.688 (50.253) Prec@5 77.344 (73.953)
Epoch: [40][7400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2382 (2.2362) Prec@1 47.656 (50.247) Prec@5 75.000 (73.956)
Epoch: [40][7600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.5360 (2.2368) Prec@1 47.656 (50.235) Prec@5 69.531 (73.943)
Epoch: [40][7800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.0087 (2.2370) Prec@1 55.469 (50.228) Prec@5 76.562 (73.940)
Epoch: [40][8000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1774 (2.2377) Prec@1 48.438 (50.210) Prec@5 72.656 (73.935)
Epoch: [40][8200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2176 (2.2374) Prec@1 47.656 (50.217) Prec@5 74.219 (73.934)
Epoch: [40][8400/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.2412 (2.2379) Prec@1 49.219 (50.210) Prec@5 75.781 (73.924)
Epoch: [40][8600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.0424 (2.2378) Prec@1 60.938 (50.205) Prec@5 75.781 (73.925)
Epoch: [40][8800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1288 (2.2378) Prec@1 53.906 (50.208) Prec@5 75.000 (73.926)
Epoch: [40][9000/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 2.2155 (2.2387) Prec@1 50.781 (50.196) Prec@5 71.875 (73.911)
Epoch: [40][9200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.3896 (2.2390) Prec@1 45.312 (50.187) Prec@5 71.094 (73.907)
Epoch: [40][9400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.2725 (2.2389) Prec@1 53.125 (50.183) Prec@5 76.562 (73.915)
Epoch: [40][9600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.3954 (2.2391) Prec@1 46.094 (50.180) Prec@5 71.094 (73.912)
Epoch: [40][9800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0100 (2.2392) Prec@1 54.688 (50.182) Prec@5 79.688 (73.908)
Epoch: [40][10000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.2081 (2.2398) Prec@1 51.562 (50.173) Prec@5 74.219 (73.898)
Test: [0/391] Time 4.534 (4.534) Loss 0.6841 (0.6841) Prec@1 82.812 (82.812) Prec@5 92.969 (92.969)
Test: [200/391] Time 0.166 (0.263) Loss 2.3819 (1.6868) Prec@1 45.312 (59.150) Prec@5 70.312 (83.053)
* Prec@1 55.010 Prec@5 79.004 Loss@ 1.935
==>>[2018-06-22 10:37:39] [Epoch=041/150] [Need: 123:52:51] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.46/79.66, Error=44.54/20.34]
Epoch: [41][0/10010] Time 5.243 (5.243) Data 5.087 (5.087) Loss 2.1158 (2.1158) Prec@1 51.562 (51.562) Prec@5 75.000 (75.000)
Epoch: [41][200/10010] Time 0.405 (0.422) Data 0.000 (0.027) Loss 2.0542 (2.2238) Prec@1 54.688 (50.354) Prec@5 77.344 (74.017)
Epoch: [41][400/10010] Time 0.395 (0.411) Data 0.000 (0.014) Loss 1.9682 (2.2077) Prec@1 50.781 (50.781) Prec@5 79.688 (74.363)
Epoch: [41][600/10010] Time 0.395 (0.407) Data 0.000 (0.009) Loss 1.9714 (2.2074) Prec@1 52.344 (50.629) Prec@5 79.688 (74.376)
Epoch: [41][800/10010] Time 0.400 (0.405) Data 0.000 (0.007) Loss 2.6551 (2.2127) Prec@1 46.094 (50.656) Prec@5 66.406 (74.302)
Epoch: [41][1000/10010] Time 0.401 (0.404) Data 0.000 (0.006) Loss 2.2703 (2.2141) Prec@1 44.531 (50.615) Prec@5 76.562 (74.273)
Epoch: [41][1200/10010] Time 0.404 (0.403) Data 0.000 (0.005) Loss 2.0413 (2.2139) Prec@1 56.250 (50.665) Prec@5 76.562 (74.303)
Epoch: [41][1400/10010] Time 0.394 (0.403) Data 0.001 (0.004) Loss 2.4598 (2.2151) Prec@1 46.875 (50.635) Prec@5 68.750 (74.267)
Epoch: [41][1600/10010] Time 0.395 (0.403) Data 0.000 (0.004) Loss 2.3094 (2.2161) Prec@1 49.219 (50.629) Prec@5 70.312 (74.212)
Epoch: [41][1800/10010] Time 0.399 (0.402) Data 0.001 (0.003) Loss 2.0010 (2.2162) Prec@1 53.906 (50.663) Prec@5 82.812 (74.222)
Epoch: [41][2000/10010] Time 0.405 (0.402) Data 0.000 (0.003) Loss 2.2013 (2.2175) Prec@1 50.000 (50.597) Prec@5 78.125 (74.182)
Epoch: [41][2200/10010] Time 0.402 (0.402) Data 0.000 (0.003) Loss 2.6681 (2.2192) Prec@1 46.094 (50.582) Prec@5 68.750 (74.177)
Epoch: [41][2400/10010] Time 0.399 (0.402) Data 0.001 (0.003) Loss 1.8247 (2.2213) Prec@1 59.375 (50.543) Prec@5 79.688 (74.149)
Epoch: [41][2600/10010] Time 0.394 (0.402) Data 0.000 (0.002) Loss 1.9232 (2.2227) Prec@1 57.812 (50.523) Prec@5 77.344 (74.141)
Epoch: [41][2800/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 2.3729 (2.2206) Prec@1 46.875 (50.535) Prec@5 71.094 (74.190)
Epoch: [41][3000/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 1.7318 (2.2216) Prec@1 55.469 (50.490) Prec@5 82.031 (74.177)
Epoch: [41][3200/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 1.7854 (2.2231) Prec@1 56.250 (50.472) Prec@5 81.250 (74.156)
Epoch: [41][3400/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 2.2647 (2.2225) Prec@1 46.875 (50.484) Prec@5 75.781 (74.176)
Epoch: [41][3600/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 2.5129 (2.2255) Prec@1 46.875 (50.410) Prec@5 67.188 (74.140)
Epoch: [41][3800/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 1.7812 (2.2267) Prec@1 57.031 (50.406) Prec@5 83.594 (74.124)
Epoch: [41][4000/10010] Time 0.408 (0.401) Data 0.000 (0.002) Loss 2.1964 (2.2269) Prec@1 55.469 (50.413) Prec@5 71.875 (74.118)
Epoch: [41][4200/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 2.0724 (2.2273) Prec@1 50.781 (50.403) Prec@5 71.875 (74.111)
Epoch: [41][4400/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 2.2112 (2.2280) Prec@1 50.781 (50.394) Prec@5 71.875 (74.105)
Epoch: [41][4600/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 2.2086 (2.2292) Prec@1 49.219 (50.376) Prec@5 76.562 (74.074)
Epoch: [41][4800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.1808 (2.2295) Prec@1 48.438 (50.362) Prec@5 74.219 (74.065)
Epoch: [41][5000/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 2.2361 (2.2301) Prec@1 50.000 (50.358) Prec@5 74.219 (74.052)
Epoch: [41][5200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.8318 (2.2304) Prec@1 57.031 (50.339) Prec@5 77.344 (74.050)
Epoch: [41][5400/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 2.4310 (2.2306) Prec@1 49.219 (50.337) Prec@5 75.781 (74.059)
Epoch: [41][5600/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 2.1941 (2.2308) Prec@1 52.344 (50.351) Prec@5 73.438 (74.046)
Epoch: [41][5800/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.9687 (2.2315) Prec@1 48.438 (50.337) Prec@5 80.469 (74.029)
Epoch: [41][6000/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.6037 (2.2318) Prec@1 47.656 (50.324) Prec@5 70.312 (74.029)
Epoch: [41][6200/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 2.0584 (2.2321) Prec@1 57.031 (50.315) Prec@5 76.562 (74.030)
Epoch: [41][6400/10010] Time 0.412 (0.400) Data 0.000 (0.001) Loss 2.3507 (2.2322) Prec@1 47.656 (50.309) Prec@5 71.094 (74.038)
Epoch: [41][6600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.0868 (2.2327) Prec@1 52.344 (50.312) Prec@5 72.656 (74.030)
Epoch: [41][6800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.2402 (2.2327) Prec@1 52.344 (50.303) Prec@5 72.656 (74.026)
Epoch: [41][7000/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.1756 (2.2331) Prec@1 51.562 (50.291) Prec@5 71.875 (74.015)
Epoch: [41][7200/10010] Time 0.417 (0.400) Data 0.000 (0.001) Loss 2.2037 (2.2332) Prec@1 43.750 (50.288) Prec@5 76.562 (74.015)
Epoch: [41][7400/10010] Time 0.403 (0.400) Data 0.001 (0.001) Loss 1.9260 (2.2331) Prec@1 57.031 (50.280) Prec@5 77.344 (74.013)
Epoch: [41][7600/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 2.1658 (2.2330) Prec@1 53.125 (50.279) Prec@5 76.562 (74.011)
Epoch: [41][7800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.0237 (2.2338) Prec@1 53.125 (50.272) Prec@5 77.344 (73.999)
Epoch: [41][8000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.7625 (2.2335) Prec@1 57.031 (50.278) Prec@5 82.812 (74.012)
Epoch: [41][8200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.8334 (2.2339) Prec@1 54.688 (50.272) Prec@5 78.906 (74.003)
Epoch: [41][8400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.1178 (2.2344) Prec@1 56.250 (50.275) Prec@5 77.344 (73.996)
Epoch: [41][8600/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 2.1712 (2.2347) Prec@1 53.906 (50.264) Prec@5 71.875 (73.988)
Epoch: [41][8800/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 2.0487 (2.2349) Prec@1 50.000 (50.260) Prec@5 75.000 (73.981)
Epoch: [41][9000/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 2.3391 (2.2349) Prec@1 49.219 (50.258) Prec@5 71.094 (73.976)
Epoch: [41][9200/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 2.1435 (2.2349) Prec@1 48.438 (50.266) Prec@5 78.125 (73.975)
Epoch: [41][9400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.2569 (2.2354) Prec@1 53.125 (50.258) Prec@5 73.438 (73.965)
Epoch: [41][9600/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 2.2636 (2.2354) Prec@1 43.750 (50.260) Prec@5 75.781 (73.964)
Epoch: [41][9800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 2.1925 (2.2353) Prec@1 49.219 (50.255) Prec@5 74.219 (73.971)
Epoch: [41][10000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.1542 (2.2354) Prec@1 50.000 (50.259) Prec@5 78.125 (73.967)
Test: [0/391] Time 4.811 (4.811) Loss 0.6520 (0.6520) Prec@1 84.375 (84.375) Prec@5 93.750 (93.750)
Test: [200/391] Time 0.144 (0.251) Loss 2.4072 (1.6776) Prec@1 43.750 (59.068) Prec@5 71.875 (83.364)
* Prec@1 54.752 Prec@5 79.126 Loss@ 1.935
==>>[2018-06-22 11:45:53] [Epoch=042/150] [Need: 122:50:28] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.46/79.66, Error=44.54/20.34]
Epoch: [42][0/10010] Time 4.139 (4.139) Data 3.980 (3.980) Loss 2.1379 (2.1379) Prec@1 49.219 (49.219) Prec@5 75.000 (75.000)
Epoch: [42][200/10010] Time 0.399 (0.416) Data 0.000 (0.023) Loss 2.0016 (2.2227) Prec@1 53.906 (50.669) Prec@5 77.344 (74.114)
Epoch: [42][400/10010] Time 0.397 (0.407) Data 0.001 (0.012) Loss 2.0849 (2.2143) Prec@1 53.125 (50.723) Prec@5 76.562 (74.291)
Epoch: [42][600/10010] Time 0.400 (0.404) Data 0.000 (0.008) Loss 1.8891 (2.2121) Prec@1 54.688 (50.727) Prec@5 84.375 (74.336)
Epoch: [42][800/10010] Time 0.399 (0.403) Data 0.000 (0.006) Loss 1.9626 (2.2115) Prec@1 56.250 (50.767) Prec@5 81.250 (74.338)
Epoch: [42][1000/10010] Time 0.398 (0.402) Data 0.000 (0.005) Loss 1.7069 (2.2118) Prec@1 60.938 (50.766) Prec@5 82.031 (74.359)
Epoch: [42][1200/10010] Time 0.403 (0.401) Data 0.000 (0.004) Loss 2.1172 (2.2102) Prec@1 49.219 (50.706) Prec@5 76.562 (74.406)
Epoch: [42][1400/10010] Time 0.392 (0.401) Data 0.000 (0.004) Loss 2.3476 (2.2119) Prec@1 53.125 (50.676) Prec@5 74.219 (74.359)
Epoch: [42][1600/10010] Time 0.397 (0.400) Data 0.001 (0.003) Loss 2.3511 (2.2158) Prec@1 46.094 (50.648) Prec@5 75.781 (74.258)
Epoch: [42][1800/10010] Time 0.404 (0.400) Data 0.001 (0.003) Loss 1.9896 (2.2174) Prec@1 52.344 (50.632) Prec@5 78.906 (74.234)
Epoch: [42][2000/10010] Time 0.397 (0.400) Data 0.000 (0.003) Loss 1.9758 (2.2177) Prec@1 53.125 (50.627) Prec@5 80.469 (74.232)
Epoch: [42][2200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.1709 (2.2184) Prec@1 50.781 (50.589) Prec@5 80.469 (74.210)
Epoch: [42][2400/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.9834 (2.2217) Prec@1 56.250 (50.544) Prec@5 75.781 (74.147)
Epoch: [42][2600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.2068 (2.2223) Prec@1 50.000 (50.527) Prec@5 75.781 (74.143)
Epoch: [42][2800/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 2.6449 (2.2237) Prec@1 45.312 (50.495) Prec@5 67.188 (74.113)
Epoch: [42][3000/10010] Time 0.397 (0.399) Data 0.001 (0.002) Loss 2.4066 (2.2241) Prec@1 50.781 (50.459) Prec@5 66.406 (74.118)
Epoch: [42][3200/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 2.6669 (2.2241) Prec@1 42.188 (50.452) Prec@5 63.281 (74.104)
Epoch: [42][3400/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 2.2948 (2.2252) Prec@1 48.438 (50.448) Prec@5 75.000 (74.087)
Epoch: [42][3600/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 2.3942 (2.2261) Prec@1 48.438 (50.422) Prec@5 70.312 (74.072)
Epoch: [42][3800/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 2.3874 (2.2251) Prec@1 50.000 (50.439) Prec@5 73.438 (74.080)
Epoch: [42][4000/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.1973 (2.2246) Prec@1 54.688 (50.471) Prec@5 75.000 (74.069)
Epoch: [42][4200/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.5596 (2.2257) Prec@1 48.438 (50.439) Prec@5 67.188 (74.064)
Epoch: [42][4400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.1437 (2.2263) Prec@1 50.781 (50.432) Prec@5 73.438 (74.054)
Epoch: [42][4600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2998 (2.2273) Prec@1 50.781 (50.409) Prec@5 71.875 (74.038)
Epoch: [42][4800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.4588 (2.2273) Prec@1 47.656 (50.413) Prec@5 75.000 (74.035)
Epoch: [42][5000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.5199 (2.2266) Prec@1 43.750 (50.436) Prec@5 73.438 (74.052)
Epoch: [42][5200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.0353 (2.2270) Prec@1 57.812 (50.429) Prec@5 77.344 (74.060)
Epoch: [42][5400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.0331 (2.2267) Prec@1 46.875 (50.430) Prec@5 82.031 (74.059)
Epoch: [42][5600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1012 (2.2270) Prec@1 53.125 (50.425) Prec@5 77.344 (74.054)
Epoch: [42][5800/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 2.1900 (2.2271) Prec@1 56.250 (50.419) Prec@5 73.438 (74.050)
Epoch: [42][6000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.9769 (2.2275) Prec@1 54.688 (50.415) Prec@5 81.250 (74.047)
Epoch: [42][6200/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.3685 (2.2279) Prec@1 47.656 (50.404) Prec@5 71.094 (74.039)
Epoch: [42][6400/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.8990 (2.2283) Prec@1 55.469 (50.398) Prec@5 81.250 (74.031)
Epoch: [42][6600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.6848 (2.2290) Prec@1 40.625 (50.385) Prec@5 70.312 (74.020)
Epoch: [42][6800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.3066 (2.2295) Prec@1 50.000 (50.371) Prec@5 70.312 (74.011)
Epoch: [42][7000/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.1180 (2.2284) Prec@1 47.656 (50.390) Prec@5 79.688 (74.023)
Epoch: [42][7200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.1163 (2.2288) Prec@1 50.000 (50.380) Prec@5 77.344 (74.030)
Epoch: [42][7400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.3699 (2.2288) Prec@1 50.781 (50.386) Prec@5 70.312 (74.032)
Epoch: [42][7600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.4829 (2.2288) Prec@1 44.531 (50.380) Prec@5 66.406 (74.033)
Epoch: [42][7800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.1011 (2.2291) Prec@1 53.125 (50.378) Prec@5 79.688 (74.025)
Epoch: [42][8000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.4296 (2.2291) Prec@1 47.656 (50.378) Prec@5 72.656 (74.025)
Epoch: [42][8200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.1769 (2.2284) Prec@1 50.781 (50.393) Prec@5 74.219 (74.040)
Epoch: [42][8400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2170 (2.2290) Prec@1 48.438 (50.381) Prec@5 75.781 (74.036)
Epoch: [42][8600/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.9247 (2.2293) Prec@1 59.375 (50.388) Prec@5 78.906 (74.037)
Epoch: [42][8800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.0825 (2.2301) Prec@1 50.000 (50.373) Prec@5 77.344 (74.028)
Epoch: [42][9000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9708 (2.2307) Prec@1 59.375 (50.365) Prec@5 78.125 (74.025)
Epoch: [42][9200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.4614 (2.2306) Prec@1 50.000 (50.364) Prec@5 70.312 (74.026)
Epoch: [42][9400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.5179 (2.2308) Prec@1 46.094 (50.358) Prec@5 74.219 (74.020)
Epoch: [42][9600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9322 (2.2310) Prec@1 50.781 (50.364) Prec@5 75.000 (74.013)
Epoch: [42][9800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.0893 (2.2317) Prec@1 51.562 (50.358) Prec@5 78.125 (74.005)
Epoch: [42][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2247 (2.2321) Prec@1 46.875 (50.344) Prec@5 74.219 (73.998)
Test: [0/391] Time 4.873 (4.873) Loss 0.9285 (0.9285) Prec@1 81.250 (81.250) Prec@5 92.188 (92.188)
Test: [200/391] Time 0.142 (0.245) Loss 2.5155 (1.6214) Prec@1 39.844 (60.164) Prec@5 71.094 (84.134)
* Prec@1 55.916 Prec@5 79.832 Loss@ 1.882
==>>[2018-06-22 12:53:56] [Epoch=043/150] [Need: 121:21:28] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.92/79.83, Error=44.08/20.17]
Epoch: [43][0/10010] Time 4.154 (4.154) Data 3.985 (3.985) Loss 2.2093 (2.2093) Prec@1 50.000 (50.000) Prec@5 72.656 (72.656)
Epoch: [43][200/10010] Time 0.402 (0.416) Data 0.000 (0.022) Loss 2.1582 (2.1997) Prec@1 53.125 (51.220) Prec@5 75.781 (74.168)
Epoch: [43][400/10010] Time 0.395 (0.407) Data 0.000 (0.011) Loss 2.4695 (2.2079) Prec@1 46.094 (50.885) Prec@5 65.625 (74.141)
Epoch: [43][600/10010] Time 0.398 (0.404) Data 0.000 (0.008) Loss 2.2643 (2.2038) Prec@1 47.656 (50.885) Prec@5 71.094 (74.221)
Epoch: [43][800/10010] Time 0.400 (0.403) Data 0.000 (0.006) Loss 2.5329 (2.2011) Prec@1 42.969 (50.885) Prec@5 73.438 (74.270)
Epoch: [43][1000/10010] Time 0.403 (0.402) Data 0.000 (0.005) Loss 2.4479 (2.1988) Prec@1 47.656 (50.889) Prec@5 71.875 (74.358)
Epoch: [43][1200/10010] Time 0.395 (0.401) Data 0.000 (0.004) Loss 2.1960 (2.2019) Prec@1 53.125 (50.928) Prec@5 76.562 (74.308)
Epoch: [43][1400/10010] Time 0.397 (0.401) Data 0.000 (0.004) Loss 2.4231 (2.2046) Prec@1 44.531 (50.860) Prec@5 71.094 (74.282)
Epoch: [43][1600/10010] Time 0.395 (0.400) Data 0.000 (0.003) Loss 2.2726 (2.2046) Prec@1 53.125 (50.828) Prec@5 68.750 (74.283)
Epoch: [43][1800/10010] Time 0.397 (0.400) Data 0.000 (0.003) Loss 2.2000 (2.2083) Prec@1 50.000 (50.748) Prec@5 75.000 (74.258)
Epoch: [43][2000/10010] Time 0.394 (0.400) Data 0.000 (0.003) Loss 2.2367 (2.2092) Prec@1 50.000 (50.751) Prec@5 73.438 (74.258)
Epoch: [43][2200/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 2.0558 (2.2089) Prec@1 54.688 (50.758) Prec@5 78.125 (74.276)
Epoch: [43][2400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.9651 (2.2089) Prec@1 52.344 (50.772) Prec@5 75.000 (74.299)
Epoch: [43][2600/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 2.0947 (2.2076) Prec@1 48.438 (50.777) Prec@5 75.000 (74.312)
Epoch: [43][2800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.9330 (2.2084) Prec@1 40.625 (50.776) Prec@5 60.938 (74.306)
Epoch: [43][3000/10010] Time 0.410 (0.399) Data 0.000 (0.002) Loss 2.1312 (2.2097) Prec@1 48.438 (50.758) Prec@5 74.219 (74.294)
Epoch: [43][3200/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.4314 (2.2104) Prec@1 45.312 (50.728) Prec@5 65.625 (74.266)
Epoch: [43][3400/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.3895 (2.2117) Prec@1 42.188 (50.702) Prec@5 71.875 (74.259)
Epoch: [43][3600/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 2.4077 (2.2128) Prec@1 47.656 (50.677) Prec@5 73.438 (74.252)
Epoch: [43][3800/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.0162 (2.2131) Prec@1 52.344 (50.652) Prec@5 73.438 (74.262)
Epoch: [43][4000/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.3151 (2.2149) Prec@1 53.906 (50.628) Prec@5 73.438 (74.230)
Epoch: [43][4200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.4425 (2.2150) Prec@1 46.094 (50.605) Prec@5 69.531 (74.227)
Epoch: [43][4400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.0970 (2.2156) Prec@1 56.250 (50.590) Prec@5 74.219 (74.220)
Epoch: [43][4600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9619 (2.2158) Prec@1 52.344 (50.604) Prec@5 76.562 (74.220)
Epoch: [43][4800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2276 (2.2172) Prec@1 49.219 (50.578) Prec@5 72.656 (74.208)
Epoch: [43][5000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.8137 (2.2173) Prec@1 57.812 (50.579) Prec@5 82.031 (74.219)
Epoch: [43][5200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2027 (2.2177) Prec@1 51.562 (50.570) Prec@5 78.125 (74.212)
Epoch: [43][5400/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 2.4315 (2.2169) Prec@1 42.969 (50.592) Prec@5 71.875 (74.226)
Epoch: [43][5600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.3529 (2.2175) Prec@1 49.219 (50.583) Prec@5 71.875 (74.219)
Epoch: [43][5800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2928 (2.2174) Prec@1 54.688 (50.573) Prec@5 67.969 (74.219)
Epoch: [43][6000/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 2.3427 (2.2175) Prec@1 47.656 (50.575) Prec@5 72.656 (74.219)
Epoch: [43][6200/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 2.2876 (2.2177) Prec@1 46.094 (50.573) Prec@5 71.875 (74.220)
Epoch: [43][6400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1104 (2.2180) Prec@1 53.125 (50.569) Prec@5 75.000 (74.215)
Epoch: [43][6600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.1238 (2.2190) Prec@1 48.438 (50.560) Prec@5 74.219 (74.200)
Epoch: [43][6800/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.0247 (2.2187) Prec@1 53.125 (50.562) Prec@5 77.344 (74.202)
Epoch: [43][7000/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.2753 (2.2186) Prec@1 51.562 (50.571) Prec@5 75.000 (74.201)
Epoch: [43][7200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.1996 (2.2191) Prec@1 52.344 (50.557) Prec@5 75.000 (74.190)
Epoch: [43][7400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.3930 (2.2198) Prec@1 49.219 (50.554) Prec@5 70.312 (74.172)
Epoch: [43][7600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0055 (2.2205) Prec@1 49.219 (50.545) Prec@5 80.469 (74.169)
Epoch: [43][7800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.9211 (2.2210) Prec@1 55.469 (50.541) Prec@5 80.469 (74.160)
Epoch: [43][8000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2046 (2.2220) Prec@1 50.781 (50.531) Prec@5 74.219 (74.146)
Epoch: [43][8200/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 2.3767 (2.2220) Prec@1 52.344 (50.527) Prec@5 68.750 (74.142)
Epoch: [43][8400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.1479 (2.2224) Prec@1 46.875 (50.520) Prec@5 76.562 (74.147)
Epoch: [43][8600/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 2.3323 (2.2230) Prec@1 51.562 (50.521) Prec@5 71.094 (74.141)
Epoch: [43][8800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.9079 (2.2232) Prec@1 51.562 (50.510) Prec@5 82.031 (74.136)
Epoch: [43][9000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.3988 (2.2234) Prec@1 45.312 (50.500) Prec@5 71.094 (74.131)
Epoch: [43][9200/10010] Time 0.406 (0.399) Data 0.001 (0.001) Loss 1.9670 (2.2236) Prec@1 56.250 (50.502) Prec@5 78.906 (74.130)
Epoch: [43][9400/10010] Time 0.402 (0.399) Data 0.001 (0.001) Loss 2.4158 (2.2241) Prec@1 47.656 (50.485) Prec@5 70.312 (74.124)
Epoch: [43][9600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.4052 (2.2241) Prec@1 44.531 (50.489) Prec@5 70.312 (74.122)
Epoch: [43][9800/10010] Time 0.405 (0.398) Data 0.000 (0.001) Loss 2.6491 (2.2245) Prec@1 40.625 (50.481) Prec@5 72.656 (74.118)
Epoch: [43][10000/10010] Time 0.394 (0.398) Data 0.000 (0.001) Loss 2.1350 (2.2248) Prec@1 53.125 (50.475) Prec@5 78.125 (74.107)
Test: [0/391] Time 4.763 (4.763) Loss 1.2081 (1.2081) Prec@1 70.312 (70.312) Prec@5 88.281 (88.281)
Test: [200/391] Time 0.169 (0.253) Loss 2.0631 (1.6224) Prec@1 52.344 (59.931) Prec@5 75.781 (84.212)
* Prec@1 55.626 Prec@5 79.980 Loss@ 1.888
==>>[2018-06-22 14:01:59] [Epoch=044/150] [Need: 120:12:06] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.92/79.98, Error=44.08/20.02]
Epoch: [44][0/10010] Time 4.596 (4.596) Data 4.443 (4.443) Loss 2.3389 (2.3389) Prec@1 46.875 (46.875) Prec@5 71.875 (71.875)
Epoch: [44][200/10010] Time 0.401 (0.418) Data 0.000 (0.023) Loss 2.0605 (2.2037) Prec@1 51.562 (50.587) Prec@5 79.688 (74.569)
Epoch: [44][400/10010] Time 0.392 (0.408) Data 0.000 (0.012) Loss 2.0120 (2.2004) Prec@1 51.562 (50.974) Prec@5 76.562 (74.620)
Epoch: [44][600/10010] Time 0.406 (0.405) Data 0.000 (0.008) Loss 2.5995 (2.2044) Prec@1 42.188 (50.961) Prec@5 67.969 (74.563)
Epoch: [44][800/10010] Time 0.402 (0.403) Data 0.001 (0.006) Loss 1.8720 (2.1972) Prec@1 53.906 (51.063) Prec@5 80.469 (74.601)
Epoch: [44][1000/10010] Time 0.395 (0.402) Data 0.000 (0.005) Loss 1.8702 (2.1966) Prec@1 56.250 (51.135) Prec@5 82.031 (74.618)
Epoch: [44][1200/10010] Time 0.396 (0.401) Data 0.000 (0.004) Loss 1.9802 (2.1986) Prec@1 50.000 (51.079) Prec@5 78.906 (74.586)
Epoch: [44][1400/10010] Time 0.400 (0.401) Data 0.000 (0.004) Loss 2.2054 (2.2034) Prec@1 51.562 (50.959) Prec@5 73.438 (74.506)
Epoch: [44][1600/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 2.3160 (2.2063) Prec@1 50.000 (50.860) Prec@5 72.656 (74.464)
Epoch: [44][1800/10010] Time 0.392 (0.400) Data 0.000 (0.003) Loss 2.7260 (2.2069) Prec@1 37.500 (50.862) Prec@5 62.500 (74.450)
Epoch: [44][2000/10010] Time 0.395 (0.400) Data 0.000 (0.003) Loss 2.5138 (2.2070) Prec@1 39.062 (50.849) Prec@5 72.656 (74.490)
Epoch: [44][2200/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.4514 (2.2073) Prec@1 49.219 (50.820) Prec@5 67.969 (74.478)
Epoch: [44][2400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.1292 (2.2062) Prec@1 53.906 (50.818) Prec@5 74.219 (74.509)
Epoch: [44][2600/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.0322 (2.2077) Prec@1 56.250 (50.806) Prec@5 75.781 (74.480)
Epoch: [44][2800/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.3747 (2.2087) Prec@1 48.438 (50.788) Prec@5 75.000 (74.476)
Epoch: [44][3000/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.2077 (2.2089) Prec@1 49.219 (50.800) Prec@5 74.219 (74.452)
Epoch: [44][3200/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.1300 (2.2084) Prec@1 51.562 (50.806) Prec@5 76.562 (74.465)
Epoch: [44][3400/10010] Time 0.397 (0.400) Data 0.001 (0.002) Loss 1.9203 (2.2108) Prec@1 51.562 (50.780) Prec@5 81.250 (74.427)
Epoch: [44][3600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.0875 (2.2119) Prec@1 52.344 (50.765) Prec@5 78.906 (74.411)
Epoch: [44][3800/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.2008 (2.2124) Prec@1 46.875 (50.755) Prec@5 71.875 (74.397)
Epoch: [44][4000/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.1152 (2.2130) Prec@1 47.656 (50.710) Prec@5 71.094 (74.372)
Epoch: [44][4200/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 1.9277 (2.2133) Prec@1 52.344 (50.718) Prec@5 79.688 (74.372)
Epoch: [44][4400/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 1.8252 (2.2133) Prec@1 54.688 (50.712) Prec@5 78.125 (74.356)
Epoch: [44][4600/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.6664 (2.2139) Prec@1 46.094 (50.714) Prec@5 70.312 (74.343)
Epoch: [44][4800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.0358 (2.2143) Prec@1 54.688 (50.706) Prec@5 78.906 (74.332)
Epoch: [44][5000/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 2.3728 (2.2141) Prec@1 53.125 (50.713) Prec@5 67.969 (74.325)
Epoch: [44][5200/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 1.9559 (2.2145) Prec@1 51.562 (50.703) Prec@5 75.000 (74.323)
Epoch: [44][5400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.3684 (2.2154) Prec@1 50.000 (50.684) Prec@5 75.000 (74.308)
Epoch: [44][5600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.7798 (2.2161) Prec@1 58.594 (50.668) Prec@5 78.906 (74.292)
Epoch: [44][5800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.3502 (2.2163) Prec@1 46.094 (50.656) Prec@5 74.219 (74.289)
Epoch: [44][6000/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.0075 (2.2159) Prec@1 55.469 (50.655) Prec@5 77.344 (74.296)
Epoch: [44][6200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.7091 (2.2161) Prec@1 46.094 (50.649) Prec@5 64.844 (74.297)
Epoch: [44][6400/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 1.6869 (2.2161) Prec@1 59.375 (50.648) Prec@5 83.594 (74.292)
Epoch: [44][6600/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.1132 (2.2173) Prec@1 52.344 (50.623) Prec@5 78.906 (74.270)
Epoch: [44][6800/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 2.2235 (2.2182) Prec@1 50.000 (50.607) Prec@5 70.312 (74.256)
Epoch: [44][7000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.1801 (2.2184) Prec@1 55.469 (50.602) Prec@5 75.000 (74.248)
Epoch: [44][7200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.0869 (2.2188) Prec@1 50.781 (50.596) Prec@5 76.562 (74.243)
Epoch: [44][7400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2652 (2.2185) Prec@1 43.750 (50.596) Prec@5 68.750 (74.242)
Epoch: [44][7600/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 2.4198 (2.2188) Prec@1 46.094 (50.594) Prec@5 72.656 (74.234)
Epoch: [44][7800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2000 (2.2195) Prec@1 53.906 (50.582) Prec@5 74.219 (74.218)
Epoch: [44][8000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.3319 (2.2196) Prec@1 46.094 (50.588) Prec@5 71.094 (74.213)
Epoch: [44][8200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.5031 (2.2200) Prec@1 44.531 (50.594) Prec@5 69.531 (74.207)
Epoch: [44][8400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.3182 (2.2204) Prec@1 53.125 (50.586) Prec@5 69.531 (74.193)
Epoch: [44][8600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2409 (2.2198) Prec@1 50.000 (50.603) Prec@5 71.094 (74.200)
Epoch: [44][8800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.4506 (2.2201) Prec@1 41.406 (50.595) Prec@5 71.875 (74.199)
Epoch: [44][9000/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 1.9359 (2.2205) Prec@1 53.906 (50.589) Prec@5 78.125 (74.193)
Epoch: [44][9200/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 2.3777 (2.2209) Prec@1 49.219 (50.582) Prec@5 72.656 (74.194)
Epoch: [44][9400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.0979 (2.2215) Prec@1 51.562 (50.572) Prec@5 75.781 (74.185)
Epoch: [44][9600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.3958 (2.2210) Prec@1 44.531 (50.586) Prec@5 71.875 (74.191)
Epoch: [44][9800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.3665 (2.2211) Prec@1 45.312 (50.591) Prec@5 74.219 (74.188)
Epoch: [44][10000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.1029 (2.2210) Prec@1 57.031 (50.587) Prec@5 76.562 (74.188)
Test: [0/391] Time 4.512 (4.512) Loss 0.8145 (0.8145) Prec@1 82.812 (82.812) Prec@5 93.750 (93.750)
Test: [200/391] Time 0.149 (0.246) Loss 2.4537 (1.6420) Prec@1 36.719 (59.907) Prec@5 74.219 (83.796)
* Prec@1 55.554 Prec@5 79.578 Loss@ 1.900
==>>[2018-06-22 15:10:09] [Epoch=045/150] [Need: 119:17:55] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=55.92/79.98, Error=44.08/20.02]
Epoch: [45][0/10010] Time 3.960 (3.960) Data 3.792 (3.792) Loss 2.2021 (2.2021) Prec@1 50.000 (50.000) Prec@5 74.219 (74.219)
Epoch: [45][200/10010] Time 0.399 (0.416) Data 0.000 (0.022) Loss 1.8129 (2.1828) Prec@1 46.875 (51.434) Prec@5 84.375 (74.790)
Epoch: [45][400/10010] Time 0.400 (0.407) Data 0.000 (0.011) Loss 2.1962 (2.1807) Prec@1 50.781 (51.268) Prec@5 73.438 (74.733)
Epoch: [45][600/10010] Time 0.403 (0.405) Data 0.000 (0.008) Loss 2.7242 (2.1884) Prec@1 46.094 (51.022) Prec@5 64.062 (74.688)
Epoch: [45][800/10010] Time 0.401 (0.403) Data 0.000 (0.006) Loss 1.9051 (2.1897) Prec@1 55.469 (51.056) Prec@5 78.906 (74.678)
Epoch: [45][1000/10010] Time 0.400 (0.402) Data 0.000 (0.005) Loss 2.2575 (2.1927) Prec@1 49.219 (51.042) Prec@5 74.219 (74.671)
Epoch: [45][1200/10010] Time 0.406 (0.402) Data 0.000 (0.004) Loss 2.0877 (2.1934) Prec@1 60.156 (51.066) Prec@5 72.656 (74.669)
Epoch: [45][1400/10010] Time 0.401 (0.401) Data 0.000 (0.003) Loss 2.1934 (2.1910) Prec@1 50.000 (51.192) Prec@5 73.438 (74.712)
Epoch: [45][1600/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.0541 (2.1895) Prec@1 50.781 (51.197) Prec@5 73.438 (74.726)
Epoch: [45][1800/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 2.1582 (2.1879) Prec@1 53.906 (51.231) Prec@5 73.438 (74.752)
Epoch: [45][2000/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 2.4021 (2.1909) Prec@1 48.438 (51.183) Prec@5 72.656 (74.707)
Epoch: [45][2200/10010] Time 0.394 (0.401) Data 0.000 (0.002) Loss 2.0606 (2.1906) Prec@1 54.688 (51.188) Prec@5 75.781 (74.700)
Epoch: [45][2400/10010] Time 0.409 (0.401) Data 0.000 (0.002) Loss 2.1712 (2.1903) Prec@1 48.438 (51.182) Prec@5 75.000 (74.707)
Epoch: [45][2600/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 2.4669 (2.1919) Prec@1 47.656 (51.158) Prec@5 71.875 (74.659)
Epoch: [45][2800/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.0896 (2.1932) Prec@1 53.906 (51.148) Prec@5 76.562 (74.625)
Epoch: [45][3000/10010] Time 0.400 (0.400) Data 0.001 (0.002) Loss 2.1901 (2.1945) Prec@1 54.688 (51.122) Prec@5 74.219 (74.598)
Epoch: [45][3200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.9786 (2.1943) Prec@1 54.688 (51.124) Prec@5 75.000 (74.613)
Epoch: [45][3400/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 2.5154 (2.1949) Prec@1 42.969 (51.108) Prec@5 67.969 (74.606)
Epoch: [45][3600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.0822 (2.1957) Prec@1 46.094 (51.074) Prec@5 77.344 (74.586)
Epoch: [45][3800/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.2405 (2.1967) Prec@1 50.781 (51.060) Prec@5 74.219 (74.560)
Epoch: [45][4000/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.1348 (2.1985) Prec@1 55.469 (51.032) Prec@5 74.219 (74.540)
Epoch: [45][4200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.3264 (2.1987) Prec@1 46.875 (51.030) Prec@5 71.094 (74.538)
Epoch: [45][4400/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 2.3448 (2.1993) Prec@1 50.781 (51.026) Prec@5 71.094 (74.525)
Epoch: [45][4600/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.8046 (2.2009) Prec@1 60.156 (50.988) Prec@5 78.906 (74.498)
Epoch: [45][4800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.1120 (2.2015) Prec@1 52.344 (50.983) Prec@5 73.438 (74.493)
Epoch: [45][5000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.1428 (2.2020) Prec@1 57.031 (50.962) Prec@5 73.438 (74.484)
Epoch: [45][5200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.0530 (2.2022) Prec@1 50.781 (50.948) Prec@5 78.906 (74.484)
Epoch: [45][5400/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 2.2558 (2.2024) Prec@1 50.000 (50.950) Prec@5 79.688 (74.472)
Epoch: [45][5600/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 2.0361 (2.2032) Prec@1 54.688 (50.936) Prec@5 75.781 (74.456)
Epoch: [45][5800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.3535 (2.2035) Prec@1 54.688 (50.928) Prec@5 72.656 (74.451)
Epoch: [45][6000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.0492 (2.2042) Prec@1 53.906 (50.913) Prec@5 78.906 (74.432)
Epoch: [45][6200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.9537 (2.2047) Prec@1 56.250 (50.914) Prec@5 81.250 (74.427)
Epoch: [45][6400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.3409 (2.2049) Prec@1 47.656 (50.907) Prec@5 71.875 (74.425)
Epoch: [45][6600/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 2.1933 (2.2061) Prec@1 50.781 (50.877) Prec@5 74.219 (74.405)
Epoch: [45][6800/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 1.8143 (2.2065) Prec@1 53.125 (50.875) Prec@5 78.906 (74.393)
Epoch: [45][7000/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 2.1025 (2.2073) Prec@1 50.781 (50.860) Prec@5 77.344 (74.385)
Epoch: [45][7200/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 2.3997 (2.2076) Prec@1 53.125 (50.857) Prec@5 67.969 (74.380)
Epoch: [45][7400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.1700 (2.2091) Prec@1 49.219 (50.836) Prec@5 75.781 (74.356)
Epoch: [45][7600/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 2.2221 (2.2095) Prec@1 47.656 (50.833) Prec@5 71.094 (74.353)
Epoch: [45][7800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.1010 (2.2096) Prec@1 52.344 (50.830) Prec@5 75.000 (74.356)
Epoch: [45][8000/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 1.7539 (2.2093) Prec@1 67.188 (50.824) Prec@5 81.250 (74.369)
Epoch: [45][8200/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 2.4425 (2.2086) Prec@1 43.750 (50.831) Prec@5 71.094 (74.384)
Epoch: [45][8400/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.2924 (2.2088) Prec@1 48.438 (50.822) Prec@5 72.656 (74.381)
Epoch: [45][8600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.2014 (2.2092) Prec@1 47.656 (50.813) Prec@5 74.219 (74.377)
Epoch: [45][8800/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.3028 (2.2094) Prec@1 56.250 (50.807) Prec@5 73.438 (74.375)
Epoch: [45][9000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.9787 (2.2091) Prec@1 58.594 (50.807) Prec@5 74.219 (74.380)
Epoch: [45][9200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.3439 (2.2092) Prec@1 49.219 (50.808) Prec@5 67.969 (74.374)
Epoch: [45][9400/10010] Time 0.409 (0.399) Data 0.000 (0.001) Loss 2.0653 (2.2095) Prec@1 50.000 (50.798) Prec@5 75.781 (74.370)
Epoch: [45][9600/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 2.0386 (2.2092) Prec@1 50.000 (50.810) Prec@5 78.906 (74.375)
Epoch: [45][9800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.2587 (2.2092) Prec@1 47.656 (50.802) Prec@5 75.000 (74.372)
Epoch: [45][10000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.3193 (2.2093) Prec@1 52.344 (50.808) Prec@5 74.219 (74.369)
Test: [0/391] Time 4.750 (4.750) Loss 1.0272 (1.0272) Prec@1 72.656 (72.656) Prec@5 90.625 (90.625)
Test: [200/391] Time 0.171 (0.243) Loss 2.0350 (1.6418) Prec@1 50.781 (59.880) Prec@5 76.562 (83.843)
* Prec@1 56.000 Prec@5 80.088 Loss@ 1.872
==>>[2018-06-22 16:18:20] [Epoch=046/150] [Need: 118:10:40] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=56.00/80.09, Error=44.00/19.91]
Epoch: [46][0/10010] Time 3.886 (3.886) Data 3.715 (3.715) Loss 2.0133 (2.0133) Prec@1 53.125 (53.125) Prec@5 78.906 (78.906)
Epoch: [46][200/10010] Time 0.398 (0.417) Data 0.000 (0.021) Loss 2.0075 (2.1917) Prec@1 53.125 (50.715) Prec@5 79.688 (74.526)
Epoch: [46][400/10010] Time 0.404 (0.407) Data 0.000 (0.011) Loss 2.2212 (2.1865) Prec@1 50.781 (50.890) Prec@5 71.094 (74.566)
Epoch: [46][600/10010] Time 0.397 (0.405) Data 0.000 (0.007) Loss 2.0551 (2.1940) Prec@1 53.125 (50.851) Prec@5 73.438 (74.522)
Epoch: [46][800/10010] Time 0.393 (0.403) Data 0.001 (0.006) Loss 2.3212 (2.1931) Prec@1 47.656 (50.900) Prec@5 72.656 (74.532)
Epoch: [46][1000/10010] Time 0.393 (0.402) Data 0.000 (0.005) Loss 2.4321 (2.1923) Prec@1 48.438 (50.937) Prec@5 75.000 (74.586)
Epoch: [46][1200/10010] Time 0.402 (0.402) Data 0.000 (0.004) Loss 2.2822 (2.1910) Prec@1 46.875 (50.979) Prec@5 74.219 (74.606)
Epoch: [46][1400/10010] Time 0.408 (0.401) Data 0.000 (0.003) Loss 2.1851 (2.1906) Prec@1 50.000 (50.986) Prec@5 74.219 (74.634)
Epoch: [46][1600/10010] Time 0.397 (0.401) Data 0.000 (0.003) Loss 2.2842 (2.1910) Prec@1 50.781 (50.998) Prec@5 71.094 (74.634)
Epoch: [46][1800/10010] Time 0.398 (0.401) Data 0.001 (0.003) Loss 2.1936 (2.1930) Prec@1 55.469 (50.992) Prec@5 78.125 (74.578)
Epoch: [46][2000/10010] Time 0.392 (0.401) Data 0.000 (0.003) Loss 2.0133 (2.1951) Prec@1 51.562 (50.984) Prec@5 78.125 (74.551)
Epoch: [46][2200/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 2.1328 (2.1968) Prec@1 54.688 (50.953) Prec@5 75.000 (74.543)
Epoch: [46][2400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.2284 (2.1968) Prec@1 53.125 (50.945) Prec@5 71.875 (74.532)
Epoch: [46][2600/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 2.2779 (2.1972) Prec@1 46.094 (50.959) Prec@5 76.562 (74.527)
Epoch: [46][2800/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.2696 (2.1991) Prec@1 50.000 (50.950) Prec@5 73.438 (74.494)
Epoch: [46][3000/10010] Time 0.393 (0.400) Data 0.001 (0.002) Loss 2.0686 (2.1995) Prec@1 47.656 (50.953) Prec@5 78.906 (74.487)
Epoch: [46][3200/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 2.1829 (2.2001) Prec@1 54.688 (50.935) Prec@5 71.875 (74.483)
Epoch: [46][3400/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.2734 (2.2002) Prec@1 59.375 (50.945) Prec@5 76.562 (74.510)
Epoch: [46][3600/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 2.3622 (2.2007) Prec@1 46.094 (50.946) Prec@5 70.312 (74.501)
Epoch: [46][3800/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 2.8907 (2.2010) Prec@1 42.969 (50.922) Prec@5 67.188 (74.493)
Epoch: [46][4000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.2478 (2.2011) Prec@1 46.875 (50.915) Prec@5 74.219 (74.496)
Epoch: [46][4200/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 2.0663 (2.2011) Prec@1 53.125 (50.902) Prec@5 78.906 (74.485)
Epoch: [46][4400/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.3318 (2.2023) Prec@1 52.344 (50.866) Prec@5 71.094 (74.465)
Epoch: [46][4600/10010] Time 0.395 (0.400) Data 0.001 (0.001) Loss 2.3246 (2.2034) Prec@1 50.781 (50.846) Prec@5 71.875 (74.453)
Epoch: [46][4800/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 2.1763 (2.2035) Prec@1 46.094 (50.847) Prec@5 73.438 (74.439)
Epoch: [46][5000/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.3247 (2.2030) Prec@1 50.781 (50.858) Prec@5 71.875 (74.438)
Epoch: [46][5200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.3416 (2.2033) Prec@1 51.562 (50.868) Prec@5 69.531 (74.422)
Epoch: [46][5400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.0607 (2.2033) Prec@1 54.688 (50.872) Prec@5 71.875 (74.426)
Epoch: [46][5600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.0694 (2.2036) Prec@1 54.688 (50.864) Prec@5 75.000 (74.424)
Epoch: [46][5800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.9890 (2.2049) Prec@1 56.250 (50.836) Prec@5 78.125 (74.408)
Epoch: [46][6000/10010] Time 0.396 (0.400) Data 0.001 (0.001) Loss 1.9605 (2.2056) Prec@1 53.125 (50.818) Prec@5 77.344 (74.400)
Epoch: [46][6200/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 2.2799 (2.2052) Prec@1 52.344 (50.815) Prec@5 70.312 (74.408)
Epoch: [46][6400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2850 (2.2061) Prec@1 48.438 (50.805) Prec@5 75.781 (74.388)
Epoch: [46][6600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.4429 (2.2062) Prec@1 45.312 (50.802) Prec@5 71.875 (74.386)
Epoch: [46][6800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2584 (2.2069) Prec@1 45.312 (50.796) Prec@5 74.219 (74.381)
Epoch: [46][7000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.4162 (2.2071) Prec@1 43.750 (50.793) Prec@5 65.625 (74.381)
Epoch: [46][7200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.1490 (2.2069) Prec@1 49.219 (50.806) Prec@5 73.438 (74.383)
Epoch: [46][7400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1036 (2.2065) Prec@1 52.344 (50.817) Prec@5 75.000 (74.392)
Epoch: [46][7600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2494 (2.2063) Prec@1 47.656 (50.818) Prec@5 74.219 (74.400)
Epoch: [46][7800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9432 (2.2067) Prec@1 52.344 (50.809) Prec@5 75.781 (74.398)
Epoch: [46][8000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2049 (2.2070) Prec@1 46.875 (50.805) Prec@5 71.094 (74.389)
Epoch: [46][8200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.3477 (2.2076) Prec@1 48.438 (50.808) Prec@5 73.438 (74.371)
Epoch: [46][8400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2166 (2.2078) Prec@1 47.656 (50.797) Prec@5 72.656 (74.363)
Epoch: [46][8600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.0591 (2.2085) Prec@1 48.438 (50.782) Prec@5 78.125 (74.355)
Epoch: [46][8800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.3076 (2.2087) Prec@1 53.906 (50.775) Prec@5 71.094 (74.353)
Epoch: [46][9000/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.2366 (2.2088) Prec@1 53.125 (50.774) Prec@5 71.875 (74.359)
Epoch: [46][9200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.0335 (2.2086) Prec@1 56.250 (50.785) Prec@5 75.781 (74.357)
Epoch: [46][9400/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.3692 (2.2086) Prec@1 51.562 (50.788) Prec@5 73.438 (74.356)
Epoch: [46][9600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.4902 (2.2087) Prec@1 46.875 (50.790) Prec@5 71.875 (74.357)
Epoch: [46][9800/10010] Time 0.406 (0.399) Data 0.001 (0.001) Loss 2.3756 (2.2091) Prec@1 51.562 (50.783) Prec@5 71.094 (74.354)
Epoch: [46][10000/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 2.3128 (2.2093) Prec@1 50.781 (50.776) Prec@5 69.531 (74.348)
Test: [0/391] Time 4.780 (4.780) Loss 1.0730 (1.0730) Prec@1 78.906 (78.906) Prec@5 90.625 (90.625)
Test: [200/391] Time 0.156 (0.249) Loss 2.2947 (1.6063) Prec@1 48.438 (60.207) Prec@5 72.656 (84.332)
* Prec@1 55.786 Prec@5 79.972 Loss@ 1.878
==>>[2018-06-22 17:26:30] [Epoch=047/150] [Need: 117:01:13] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=56.00/80.09, Error=44.00/19.91]
Epoch: [47][0/10010] Time 4.485 (4.485) Data 4.333 (4.333) Loss 1.8766 (1.8766) Prec@1 49.219 (49.219) Prec@5 81.250 (81.250)
Epoch: [47][200/10010] Time 0.399 (0.419) Data 0.000 (0.024) Loss 1.8422 (2.1655) Prec@1 57.812 (51.652) Prec@5 81.250 (75.218)
Epoch: [47][400/10010] Time 0.398 (0.409) Data 0.000 (0.012) Loss 2.1387 (2.1638) Prec@1 50.000 (51.559) Prec@5 75.000 (75.273)
Epoch: [47][600/10010] Time 0.397 (0.405) Data 0.001 (0.008) Loss 2.2910 (2.1666) Prec@1 52.344 (51.477) Prec@5 73.438 (75.081)
Epoch: [47][800/10010] Time 0.397 (0.403) Data 0.000 (0.006) Loss 2.2129 (2.1677) Prec@1 52.344 (51.523) Prec@5 72.656 (75.023)
Epoch: [47][1000/10010] Time 0.394 (0.402) Data 0.000 (0.005) Loss 1.8248 (2.1682) Prec@1 57.031 (51.493) Prec@5 82.031 (75.031)
Epoch: [47][1200/10010] Time 0.400 (0.402) Data 0.000 (0.004) Loss 2.1605 (2.1733) Prec@1 50.000 (51.395) Prec@5 76.562 (74.940)
Epoch: [47][1400/10010] Time 0.392 (0.401) Data 0.000 (0.004) Loss 2.0254 (2.1764) Prec@1 55.469 (51.298) Prec@5 77.344 (74.908)
Epoch: [47][1600/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.3596 (2.1838) Prec@1 43.750 (51.155) Prec@5 71.094 (74.787)
Epoch: [47][1800/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.2733 (2.1812) Prec@1 48.438 (51.233) Prec@5 74.219 (74.853)
Epoch: [47][2000/10010] Time 0.408 (0.400) Data 0.000 (0.003) Loss 1.9785 (2.1826) Prec@1 59.375 (51.199) Prec@5 81.250 (74.850)
Epoch: [47][2200/10010] Time 0.398 (0.400) Data 0.001 (0.003) Loss 2.2023 (2.1821) Prec@1 49.219 (51.213) Prec@5 75.000 (74.863)
Epoch: [47][2400/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.0847 (2.1841) Prec@1 53.906 (51.220) Prec@5 70.312 (74.809)
Epoch: [47][2600/10010] Time 0.391 (0.400) Data 0.001 (0.002) Loss 2.2691 (2.1849) Prec@1 48.438 (51.200) Prec@5 71.094 (74.785)
Epoch: [47][2800/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 1.9588 (2.1859) Prec@1 57.031 (51.161) Prec@5 77.344 (74.774)
Epoch: [47][3000/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.3823 (2.1881) Prec@1 48.438 (51.138) Prec@5 73.438 (74.737)
Epoch: [47][3200/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.0350 (2.1899) Prec@1 60.156 (51.122) Prec@5 75.781 (74.695)
Epoch: [47][3400/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 2.1318 (2.1904) Prec@1 55.469 (51.135) Prec@5 76.562 (74.685)
Epoch: [47][3600/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 1.8895 (2.1901) Prec@1 53.906 (51.171) Prec@5 78.906 (74.676)
Epoch: [47][3800/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.7321 (2.1911) Prec@1 44.531 (51.150) Prec@5 66.406 (74.651)
Epoch: [47][4000/10010] Time 0.406 (0.399) Data 0.000 (0.002) Loss 2.2486 (2.1920) Prec@1 48.438 (51.136) Prec@5 72.656 (74.635)
Epoch: [47][4200/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 2.4763 (2.1926) Prec@1 45.312 (51.129) Prec@5 66.406 (74.638)
Epoch: [47][4400/10010] Time 0.393 (0.399) Data 0.001 (0.002) Loss 1.9849 (2.1921) Prec@1 53.906 (51.108) Prec@5 78.125 (74.645)
Epoch: [47][4600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2052 (2.1927) Prec@1 44.531 (51.086) Prec@5 71.875 (74.631)
Epoch: [47][4800/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 2.7495 (2.1933) Prec@1 42.969 (51.086) Prec@5 64.062 (74.618)
Epoch: [47][5000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.5913 (2.1939) Prec@1 49.219 (51.060) Prec@5 65.625 (74.601)
Epoch: [47][5200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.4637 (2.1954) Prec@1 44.531 (51.029) Prec@5 73.438 (74.580)
Epoch: [47][5400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9112 (2.1954) Prec@1 53.125 (51.019) Prec@5 80.469 (74.584)
Epoch: [47][5600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.4286 (2.1960) Prec@1 42.188 (51.001) Prec@5 71.875 (74.564)
Epoch: [47][5800/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.0195 (2.1963) Prec@1 49.219 (50.982) Prec@5 79.688 (74.562)
Epoch: [47][6000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.7525 (2.1971) Prec@1 45.312 (50.966) Prec@5 64.844 (74.547)
Epoch: [47][6200/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 2.1359 (2.1973) Prec@1 50.781 (50.964) Prec@5 74.219 (74.537)
Epoch: [47][6400/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.1392 (2.1970) Prec@1 50.000 (50.973) Prec@5 76.562 (74.541)
Epoch: [47][6600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2631 (2.1969) Prec@1 50.781 (50.969) Prec@5 72.656 (74.541)
Epoch: [47][6800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.3222 (2.1968) Prec@1 53.125 (50.985) Prec@5 75.000 (74.546)
Epoch: [47][7000/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 1.9406 (2.1971) Prec@1 59.375 (50.987) Prec@5 78.906 (74.544)
Epoch: [47][7200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2887 (2.1977) Prec@1 51.562 (50.975) Prec@5 66.406 (74.527)
Epoch: [47][7400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.4559 (2.1981) Prec@1 43.750 (50.964) Prec@5 67.188 (74.514)
Epoch: [47][7600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.1906 (2.1986) Prec@1 57.031 (50.953) Prec@5 75.000 (74.514)
Epoch: [47][7800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.9933 (2.1991) Prec@1 51.562 (50.951) Prec@5 77.344 (74.503)
Epoch: [47][8000/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 2.1944 (2.1994) Prec@1 52.344 (50.948) Prec@5 77.344 (74.496)
Epoch: [47][8200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.2108 (2.1998) Prec@1 50.000 (50.939) Prec@5 72.656 (74.486)
Epoch: [47][8400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.8846 (2.2001) Prec@1 55.469 (50.941) Prec@5 81.250 (74.485)
Epoch: [47][8600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.0548 (2.2003) Prec@1 50.781 (50.942) Prec@5 79.688 (74.483)
Epoch: [47][8800/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 2.5107 (2.2010) Prec@1 42.188 (50.923) Prec@5 71.094 (74.478)
Epoch: [47][9000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.4867 (2.2009) Prec@1 51.562 (50.923) Prec@5 66.406 (74.478)
Epoch: [47][9200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2831 (2.2009) Prec@1 45.312 (50.925) Prec@5 75.781 (74.480)
Epoch: [47][9400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.3376 (2.2012) Prec@1 51.562 (50.919) Prec@5 74.219 (74.473)
Epoch: [47][9600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.5329 (2.2017) Prec@1 44.531 (50.910) Prec@5 71.094 (74.468)
Epoch: [47][9800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6899 (2.2018) Prec@1 62.500 (50.914) Prec@5 78.906 (74.469)
Epoch: [47][10000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1539 (2.2018) Prec@1 53.906 (50.918) Prec@5 72.656 (74.474)
Test: [0/391] Time 4.982 (4.982) Loss 0.7283 (0.7283) Prec@1 82.812 (82.812) Prec@5 93.750 (93.750)
Test: [200/391] Time 0.164 (0.255) Loss 2.3880 (1.6325) Prec@1 43.750 (59.904) Prec@5 71.875 (84.014)
* Prec@1 55.640 Prec@5 79.904 Loss@ 1.890
==>>[2018-06-22 18:34:32] [Epoch=048/150] [Need: 115:40:33] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=56.00/80.09, Error=44.00/19.91]
Epoch: [48][0/10010] Time 5.412 (5.412) Data 5.235 (5.235) Loss 1.9208 (1.9208) Prec@1 57.812 (57.812) Prec@5 77.344 (77.344)
Epoch: [48][200/10010] Time 0.396 (0.423) Data 0.000 (0.029) Loss 2.4533 (2.1839) Prec@1 47.656 (51.088) Prec@5 71.094 (74.681)
Epoch: [48][400/10010] Time 0.402 (0.410) Data 0.000 (0.015) Loss 2.3312 (2.1858) Prec@1 53.125 (51.319) Prec@5 71.875 (74.605)
Epoch: [48][600/10010] Time 0.397 (0.406) Data 0.000 (0.010) Loss 2.1973 (2.1870) Prec@1 49.219 (51.239) Prec@5 69.531 (74.641)
Epoch: [48][800/10010] Time 0.409 (0.404) Data 0.000 (0.008) Loss 2.1113 (2.1849) Prec@1 51.562 (51.304) Prec@5 76.562 (74.696)
Epoch: [48][1000/10010] Time 0.399 (0.403) Data 0.000 (0.006) Loss 2.3875 (2.1864) Prec@1 46.094 (51.250) Prec@5 71.094 (74.658)
Epoch: [48][1200/10010] Time 0.400 (0.402) Data 0.000 (0.005) Loss 2.2572 (2.1859) Prec@1 54.688 (51.238) Prec@5 73.438 (74.670)
Epoch: [48][1400/10010] Time 0.395 (0.402) Data 0.000 (0.005) Loss 1.9024 (2.1877) Prec@1 53.125 (51.228) Prec@5 79.688 (74.666)
Epoch: [48][1600/10010] Time 0.396 (0.401) Data 0.000 (0.004) Loss 2.1332 (2.1862) Prec@1 53.125 (51.258) Prec@5 73.438 (74.666)
Epoch: [48][1800/10010] Time 0.395 (0.401) Data 0.000 (0.004) Loss 2.3239 (2.1854) Prec@1 51.562 (51.231) Prec@5 74.219 (74.686)
Epoch: [48][2000/10010] Time 0.401 (0.401) Data 0.000 (0.003) Loss 2.0714 (2.1873) Prec@1 52.344 (51.225) Prec@5 77.344 (74.656)
Epoch: [48][2200/10010] Time 0.401 (0.400) Data 0.000 (0.003) Loss 2.3604 (2.1879) Prec@1 44.531 (51.213) Prec@5 69.531 (74.649)
Epoch: [48][2400/10010] Time 0.394 (0.400) Data 0.000 (0.003) Loss 1.9500 (2.1895) Prec@1 56.250 (51.211) Prec@5 79.688 (74.635)
Epoch: [48][2600/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 2.0985 (2.1891) Prec@1 53.906 (51.218) Prec@5 76.562 (74.639)
Epoch: [48][2800/10010] Time 0.397 (0.400) Data 0.000 (0.003) Loss 2.1679 (2.1890) Prec@1 50.000 (51.216) Prec@5 78.125 (74.646)
Epoch: [48][3000/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.0072 (2.1880) Prec@1 51.562 (51.221) Prec@5 75.781 (74.654)
Epoch: [48][3200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.1079 (2.1868) Prec@1 50.000 (51.254) Prec@5 79.688 (74.668)
Epoch: [48][3400/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.2935 (2.1864) Prec@1 46.875 (51.253) Prec@5 74.219 (74.674)
Epoch: [48][3600/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.4299 (2.1859) Prec@1 45.312 (51.249) Prec@5 71.094 (74.705)
Epoch: [48][3800/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 1.9472 (2.1870) Prec@1 50.000 (51.253) Prec@5 78.125 (74.681)
Epoch: [48][4000/10010] Time 0.400 (0.399) Data 0.001 (0.002) Loss 1.9636 (2.1888) Prec@1 59.375 (51.221) Prec@5 80.469 (74.654)
Epoch: [48][4200/10010] Time 0.393 (0.399) Data 0.000 (0.002) Loss 2.0021 (2.1888) Prec@1 54.688 (51.215) Prec@5 78.125 (74.648)
Epoch: [48][4400/10010] Time 0.406 (0.399) Data 0.000 (0.002) Loss 2.1308 (2.1895) Prec@1 50.781 (51.191) Prec@5 68.750 (74.645)
Epoch: [48][4600/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.1082 (2.1896) Prec@1 56.250 (51.163) Prec@5 75.000 (74.656)
Epoch: [48][4800/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.0456 (2.1889) Prec@1 53.125 (51.171) Prec@5 78.125 (74.672)
Epoch: [48][5000/10010] Time 0.404 (0.399) Data 0.000 (0.002) Loss 2.5978 (2.1895) Prec@1 44.531 (51.154) Prec@5 68.750 (74.655)
Epoch: [48][5200/10010] Time 0.393 (0.399) Data 0.001 (0.002) Loss 2.3588 (2.1900) Prec@1 48.438 (51.143) Prec@5 72.656 (74.651)
Epoch: [48][5400/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 2.1280 (2.1909) Prec@1 47.656 (51.131) Prec@5 77.344 (74.637)
Epoch: [48][5600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1645 (2.1908) Prec@1 49.219 (51.138) Prec@5 78.906 (74.649)
Epoch: [48][5800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.0406 (2.1918) Prec@1 54.688 (51.122) Prec@5 75.000 (74.642)
Epoch: [48][6000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9232 (2.1921) Prec@1 53.906 (51.122) Prec@5 75.781 (74.642)
Epoch: [48][6200/10010] Time 0.389 (0.399) Data 0.000 (0.001) Loss 2.5461 (2.1921) Prec@1 56.250 (51.129) Prec@5 69.531 (74.647)
Epoch: [48][6400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2338 (2.1927) Prec@1 46.094 (51.116) Prec@5 77.344 (74.643)
Epoch: [48][6600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2729 (2.1933) Prec@1 53.906 (51.105) Prec@5 71.875 (74.630)
Epoch: [48][6800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2269 (2.1940) Prec@1 50.781 (51.092) Prec@5 74.219 (74.619)
Epoch: [48][7000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8742 (2.1938) Prec@1 53.125 (51.090) Prec@5 80.469 (74.620)
Epoch: [48][7200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0783 (2.1936) Prec@1 53.125 (51.088) Prec@5 77.344 (74.624)
Epoch: [48][7400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.0518 (2.1938) Prec@1 53.906 (51.078) Prec@5 76.562 (74.623)
Epoch: [48][7600/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.9984 (2.1940) Prec@1 54.688 (51.069) Prec@5 75.000 (74.628)
Epoch: [48][7800/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.3198 (2.1948) Prec@1 47.656 (51.056) Prec@5 75.000 (74.616)
Epoch: [48][8000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.0791 (2.1954) Prec@1 46.875 (51.048) Prec@5 74.219 (74.609)
Epoch: [48][8200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2707 (2.1954) Prec@1 48.438 (51.043) Prec@5 74.219 (74.605)
Epoch: [48][8400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.4841 (2.1959) Prec@1 45.312 (51.035) Prec@5 66.406 (74.595)
Epoch: [48][8600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.3506 (2.1963) Prec@1 50.000 (51.025) Prec@5 71.094 (74.589)
Epoch: [48][8800/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 2.1865 (2.1961) Prec@1 55.469 (51.027) Prec@5 72.656 (74.591)
Epoch: [48][9000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0087 (2.1965) Prec@1 54.688 (51.021) Prec@5 77.344 (74.586)
Epoch: [48][9200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.1611 (2.1965) Prec@1 53.125 (51.023) Prec@5 77.344 (74.585)
Epoch: [48][9400/10010] Time 0.391 (0.399) Data 0.001 (0.001) Loss 1.7557 (2.1971) Prec@1 59.375 (51.015) Prec@5 78.906 (74.574)
Epoch: [48][9600/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 2.0040 (2.1972) Prec@1 53.906 (51.012) Prec@5 78.125 (74.569)
Epoch: [48][9800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.3684 (2.1973) Prec@1 50.000 (51.013) Prec@5 69.531 (74.572)
Epoch: [48][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.4076 (2.1979) Prec@1 49.219 (51.006) Prec@5 71.875 (74.569)
Test: [0/391] Time 5.275 (5.275) Loss 0.7554 (0.7554) Prec@1 82.031 (82.031) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.160 (0.250) Loss 2.0611 (1.6346) Prec@1 51.562 (59.725) Prec@5 72.656 (84.033)
* Prec@1 55.652 Prec@5 79.826 Loss@ 1.890
==>>[2018-06-22 19:42:36] [Epoch=049/150] [Need: 114:34:17] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=56.00/80.09, Error=44.00/19.91]
Epoch: [49][0/10010] Time 3.890 (3.890) Data 3.724 (3.724) Loss 2.2500 (2.2500) Prec@1 51.562 (51.562) Prec@5 75.781 (75.781)
Epoch: [49][200/10010] Time 0.396 (0.416) Data 0.000 (0.020) Loss 2.1533 (2.1751) Prec@1 55.469 (51.290) Prec@5 73.438 (74.949)
Epoch: [49][400/10010] Time 0.397 (0.407) Data 0.000 (0.010) Loss 2.1703 (2.1665) Prec@1 50.000 (51.547) Prec@5 76.562 (75.041)
Epoch: [49][600/10010] Time 0.396 (0.404) Data 0.000 (0.007) Loss 2.2868 (2.1750) Prec@1 53.125 (51.509) Prec@5 75.000 (74.968)
Epoch: [49][800/10010] Time 0.397 (0.402) Data 0.000 (0.005) Loss 2.6590 (2.1750) Prec@1 47.656 (51.499) Prec@5 69.531 (74.885)
Epoch: [49][1000/10010] Time 0.398 (0.402) Data 0.000 (0.004) Loss 2.2828 (2.1678) Prec@1 53.906 (51.568) Prec@5 71.875 (74.988)
Epoch: [49][1200/10010] Time 0.398 (0.401) Data 0.000 (0.004) Loss 2.4916 (2.1653) Prec@1 46.875 (51.585) Prec@5 67.969 (75.023)
Epoch: [49][1400/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 2.1562 (2.1711) Prec@1 51.562 (51.506) Prec@5 77.344 (74.972)
Epoch: [49][1600/10010] Time 0.403 (0.400) Data 0.000 (0.003) Loss 2.3067 (2.1694) Prec@1 49.219 (51.537) Prec@5 71.875 (74.958)
Epoch: [49][1800/10010] Time 0.400 (0.400) Data 0.000 (0.003) Loss 2.2703 (2.1725) Prec@1 47.656 (51.475) Prec@5 73.438 (74.936)
Epoch: [49][2000/10010] Time 0.399 (0.400) Data 0.001 (0.002) Loss 2.1090 (2.1735) Prec@1 48.438 (51.455) Prec@5 75.781 (74.951)
Epoch: [49][2200/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.0640 (2.1758) Prec@1 56.250 (51.414) Prec@5 77.344 (74.922)
Epoch: [49][2400/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.0349 (2.1761) Prec@1 55.469 (51.407) Prec@5 77.344 (74.892)
Epoch: [49][2600/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 2.2466 (2.1769) Prec@1 50.781 (51.396) Prec@5 74.219 (74.889)
Epoch: [49][2800/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 1.7434 (2.1791) Prec@1 56.250 (51.352) Prec@5 82.812 (74.853)
Epoch: [49][3000/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 1.7042 (2.1801) Prec@1 56.250 (51.337) Prec@5 83.594 (74.844)
Epoch: [49][3200/10010] Time 0.412 (0.399) Data 0.000 (0.002) Loss 2.0247 (2.1794) Prec@1 52.344 (51.335) Prec@5 73.438 (74.839)
Epoch: [49][3400/10010] Time 0.393 (0.399) Data 0.000 (0.002) Loss 2.4392 (2.1799) Prec@1 43.750 (51.318) Prec@5 70.312 (74.823)
Epoch: [49][3600/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.1720 (2.1803) Prec@1 48.438 (51.310) Prec@5 75.781 (74.806)
Epoch: [49][3800/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.0811 (2.1809) Prec@1 50.781 (51.305) Prec@5 78.125 (74.798)
Epoch: [49][4000/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 2.2008 (2.1814) Prec@1 50.000 (51.304) Prec@5 72.656 (74.787)
Epoch: [49][4200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.5090 (2.1826) Prec@1 46.875 (51.286) Prec@5 70.312 (74.779)
Epoch: [49][4400/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 2.3642 (2.1840) Prec@1 48.438 (51.266) Prec@5 67.969 (74.758)
Epoch: [49][4600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.4141 (2.1854) Prec@1 46.875 (51.237) Prec@5 67.188 (74.747)
Epoch: [49][4800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2165 (2.1859) Prec@1 55.469 (51.227) Prec@5 74.219 (74.726)
Epoch: [49][5000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0542 (2.1871) Prec@1 55.469 (51.206) Prec@5 81.250 (74.700)
Epoch: [49][5200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2999 (2.1874) Prec@1 46.094 (51.204) Prec@5 70.312 (74.693)
Epoch: [49][5400/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.1556 (2.1868) Prec@1 52.344 (51.221) Prec@5 77.344 (74.702)
Epoch: [49][5600/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 2.5288 (2.1873) Prec@1 48.438 (51.207) Prec@5 67.188 (74.688)
Epoch: [49][5800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2108 (2.1878) Prec@1 45.312 (51.196) Prec@5 77.344 (74.681)
Epoch: [49][6000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.2275 (2.1881) Prec@1 55.469 (51.191) Prec@5 71.875 (74.675)
Epoch: [49][6200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.1446 (2.1891) Prec@1 53.906 (51.169) Prec@5 74.219 (74.661)
Epoch: [49][6400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.7767 (2.1896) Prec@1 43.750 (51.163) Prec@5 69.531 (74.648)
Epoch: [49][6600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.0102 (2.1894) Prec@1 53.906 (51.165) Prec@5 79.688 (74.651)
Epoch: [49][6800/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.4141 (2.1903) Prec@1 50.000 (51.149) Prec@5 74.219 (74.632)
Epoch: [49][7000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.2696 (2.1899) Prec@1 48.438 (51.160) Prec@5 75.781 (74.635)
Epoch: [49][7200/10010] Time 0.414 (0.399) Data 0.000 (0.001) Loss 1.9810 (2.1899) Prec@1 55.469 (51.162) Prec@5 76.562 (74.632)
Epoch: [49][7400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.1336 (2.1904) Prec@1 56.250 (51.149) Prec@5 75.000 (74.629)
Epoch: [49][7600/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.0529 (2.1912) Prec@1 50.000 (51.135) Prec@5 81.250 (74.618)
Epoch: [49][7800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.1829 (2.1914) Prec@1 54.688 (51.136) Prec@5 75.000 (74.621)
Epoch: [49][8000/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.4407 (2.1915) Prec@1 45.312 (51.140) Prec@5 67.188 (74.621)
Epoch: [49][8200/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 2.0734 (2.1916) Prec@1 53.906 (51.138) Prec@5 76.562 (74.618)
Epoch: [49][8400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2970 (2.1917) Prec@1 50.781 (51.142) Prec@5 75.000 (74.622)
Epoch: [49][8600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.9673 (2.1923) Prec@1 58.594 (51.134) Prec@5 75.781 (74.612)
Epoch: [49][8800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1726 (2.1927) Prec@1 54.688 (51.129) Prec@5 76.562 (74.611)
Epoch: [49][9000/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 2.1660 (2.1924) Prec@1 51.562 (51.132) Prec@5 73.438 (74.619)
Epoch: [49][9200/10010] Time 0.393 (0.398) Data 0.000 (0.001) Loss 2.2592 (2.1926) Prec@1 50.781 (51.124) Prec@5 70.312 (74.618)
Epoch: [49][9400/10010] Time 0.390 (0.398) Data 0.000 (0.001) Loss 2.2269 (2.1931) Prec@1 50.000 (51.124) Prec@5 71.094 (74.614)
Epoch: [49][9600/10010] Time 0.403 (0.398) Data 0.000 (0.001) Loss 1.6374 (2.1934) Prec@1 57.812 (51.121) Prec@5 82.812 (74.609)
Epoch: [49][9800/10010] Time 0.404 (0.398) Data 0.001 (0.001) Loss 2.5168 (2.1935) Prec@1 46.875 (51.122) Prec@5 69.531 (74.608)
Epoch: [49][10000/10010] Time 0.393 (0.398) Data 0.000 (0.001) Loss 2.7480 (2.1935) Prec@1 43.750 (51.126) Prec@5 64.844 (74.608)
Test: [0/391] Time 4.933 (4.933) Loss 0.9478 (0.9478) Prec@1 78.125 (78.125) Prec@5 91.406 (91.406)
Test: [200/391] Time 0.164 (0.241) Loss 2.3577 (1.5904) Prec@1 40.625 (60.708) Prec@5 76.562 (84.834)
* Prec@1 56.628 Prec@5 80.614 Loss@ 1.846
==>>[2018-06-22 20:50:36] [Epoch=050/150] [Need: 113:20:03] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=56.63/80.61, Error=43.37/19.39]
Epoch: [50][0/10010] Time 4.357 (4.357) Data 4.198 (4.198) Loss 1.7642 (1.7642) Prec@1 57.812 (57.812) Prec@5 83.594 (83.594)
Epoch: [50][200/10010] Time 0.399 (0.418) Data 0.000 (0.023) Loss 1.7638 (2.1714) Prec@1 53.125 (51.236) Prec@5 82.031 (74.880)
Epoch: [50][400/10010] Time 0.394 (0.408) Data 0.000 (0.012) Loss 2.1431 (2.1704) Prec@1 50.000 (51.331) Prec@5 71.875 (74.901)
Epoch: [50][600/10010] Time 0.406 (0.405) Data 0.000 (0.008) Loss 2.1792 (2.1728) Prec@1 54.688 (51.435) Prec@5 76.562 (74.927)
Epoch: [50][800/10010] Time 0.395 (0.403) Data 0.000 (0.006) Loss 2.4650 (2.1702) Prec@1 46.875 (51.517) Prec@5 71.875 (74.990)
Epoch: [50][1000/10010] Time 0.398 (0.402) Data 0.000 (0.005) Loss 2.3296 (2.1662) Prec@1 50.781 (51.587) Prec@5 73.438 (75.037)
Epoch: [50][1200/10010] Time 0.400 (0.401) Data 0.000 (0.004) Loss 2.0111 (2.1686) Prec@1 53.125 (51.528) Prec@5 79.688 (75.010)
Epoch: [50][1400/10010] Time 0.400 (0.401) Data 0.001 (0.004) Loss 2.1610 (2.1692) Prec@1 48.438 (51.504) Prec@5 75.781 (75.020)
Epoch: [50][1600/10010] Time 0.394 (0.401) Data 0.000 (0.003) Loss 1.8576 (2.1708) Prec@1 49.219 (51.442) Prec@5 77.344 (75.005)
Epoch: [50][1800/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 2.1224 (2.1734) Prec@1 53.125 (51.399) Prec@5 74.219 (74.977)
Epoch: [50][2000/10010] Time 0.400 (0.400) Data 0.001 (0.003) Loss 1.8109 (2.1720) Prec@1 53.125 (51.438) Prec@5 81.250 (74.985)
Epoch: [50][2200/10010] Time 0.395 (0.400) Data 0.000 (0.003) Loss 2.2699 (2.1728) Prec@1 51.562 (51.422) Prec@5 75.000 (74.971)
Epoch: [50][2400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.2043 (2.1765) Prec@1 50.781 (51.353) Prec@5 73.438 (74.904)
Epoch: [50][2600/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 2.1853 (2.1766) Prec@1 49.219 (51.367) Prec@5 74.219 (74.913)
Epoch: [50][2800/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 2.1527 (2.1763) Prec@1 51.562 (51.390) Prec@5 76.562 (74.909)
Epoch: [50][3000/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 2.5182 (2.1749) Prec@1 46.875 (51.399) Prec@5 68.750 (74.924)
Epoch: [50][3200/10010] Time 0.403 (0.399) Data 0.000 (0.002) Loss 2.2134 (2.1761) Prec@1 46.875 (51.389) Prec@5 73.438 (74.918)
Epoch: [50][3400/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 1.8284 (2.1756) Prec@1 57.812 (51.413) Prec@5 82.812 (74.918)
Epoch: [50][3600/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 2.6237 (2.1760) Prec@1 47.656 (51.402) Prec@5 65.625 (74.915)
Epoch: [50][3800/10010] Time 0.393 (0.399) Data 0.001 (0.002) Loss 2.2509 (2.1774) Prec@1 49.219 (51.381) Prec@5 73.438 (74.889)
Epoch: [50][4000/10010] Time 0.404 (0.399) Data 0.000 (0.002) Loss 2.0204 (2.1782) Prec@1 56.250 (51.363) Prec@5 77.344 (74.871)
Epoch: [50][4200/10010] Time 0.390 (0.399) Data 0.001 (0.002) Loss 2.3633 (2.1788) Prec@1 50.000 (51.358) Prec@5 69.531 (74.861)
Epoch: [50][4400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.0161 (2.1801) Prec@1 53.125 (51.325) Prec@5 77.344 (74.841)
Epoch: [50][4600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9159 (2.1805) Prec@1 52.344 (51.312) Prec@5 78.906 (74.839)
Epoch: [50][4800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.4634 (2.1817) Prec@1 50.000 (51.284) Prec@5 73.438 (74.813)
Epoch: [50][5000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2754 (2.1827) Prec@1 51.562 (51.273) Prec@5 73.438 (74.799)
Epoch: [50][5200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.5160 (2.1830) Prec@1 51.562 (51.262) Prec@5 70.312 (74.797)
Epoch: [50][5400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.1298 (2.1827) Prec@1 49.219 (51.263) Prec@5 73.438 (74.793)
Epoch: [50][5600/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 2.2423 (2.1826) Prec@1 46.094 (51.261) Prec@5 71.094 (74.798)
Epoch: [50][5800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2706 (2.1827) Prec@1 52.344 (51.252) Prec@5 71.875 (74.794)
Epoch: [50][6000/10010] Time 0.406 (0.399) Data 0.001 (0.001) Loss 2.2841 (2.1833) Prec@1 46.094 (51.252) Prec@5 75.781 (74.783)
Epoch: [50][6200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.0411 (2.1830) Prec@1 55.469 (51.268) Prec@5 78.906 (74.799)
Epoch: [50][6400/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 2.2865 (2.1838) Prec@1 48.438 (51.253) Prec@5 72.656 (74.788)
Epoch: [50][6600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0172 (2.1847) Prec@1 53.125 (51.232) Prec@5 79.688 (74.779)
Epoch: [50][6800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.2176 (2.1843) Prec@1 49.219 (51.243) Prec@5 74.219 (74.787)
Epoch: [50][7000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.9868 (2.1847) Prec@1 54.688 (51.249) Prec@5 79.688 (74.778)
Epoch: [50][7200/10010] Time 0.390 (0.399) Data 0.001 (0.001) Loss 2.0802 (2.1854) Prec@1 52.344 (51.239) Prec@5 75.781 (74.767)
Epoch: [50][7400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.0351 (2.1862) Prec@1 53.125 (51.241) Prec@5 78.125 (74.751)
Epoch: [50][7600/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.0480 (2.1867) Prec@1 52.344 (51.224) Prec@5 74.219 (74.745)
Epoch: [50][7800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1936 (2.1871) Prec@1 46.875 (51.213) Prec@5 72.656 (74.743)
Epoch: [50][8000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.0756 (2.1876) Prec@1 52.344 (51.207) Prec@5 76.562 (74.735)
Epoch: [50][8200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.0625 (2.1877) Prec@1 55.469 (51.218) Prec@5 73.438 (74.732)
Epoch: [50][8400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8686 (2.1884) Prec@1 57.031 (51.210) Prec@5 79.688 (74.725)
Epoch: [50][8600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.2814 (2.1879) Prec@1 48.438 (51.220) Prec@5 74.219 (74.728)
Epoch: [50][8800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.6637 (2.1881) Prec@1 40.625 (51.222) Prec@5 72.656 (74.726)
Epoch: [50][9000/10010] Time 0.394 (0.398) Data 0.001 (0.001) Loss 2.2205 (2.1885) Prec@1 42.969 (51.217) Prec@5 76.562 (74.717)
Epoch: [50][9200/10010] Time 0.401 (0.398) Data 0.001 (0.001) Loss 2.1045 (2.1885) Prec@1 54.688 (51.215) Prec@5 78.906 (74.715)
Epoch: [50][9400/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 1.8637 (2.1880) Prec@1 55.469 (51.214) Prec@5 78.906 (74.728)
Epoch: [50][9600/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 2.0288 (2.1883) Prec@1 56.250 (51.209) Prec@5 76.562 (74.726)
Epoch: [50][9800/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 2.5584 (2.1886) Prec@1 43.750 (51.202) Prec@5 69.531 (74.722)
Epoch: [50][10000/10010] Time 0.399 (0.398) Data 0.000 (0.001) Loss 2.2992 (2.1885) Prec@1 47.656 (51.205) Prec@5 71.094 (74.727)
Test: [0/391] Time 4.501 (4.501) Loss 0.8175 (0.8175) Prec@1 79.688 (79.688) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.155 (0.249) Loss 2.4975 (1.6226) Prec@1 44.531 (60.300) Prec@5 68.750 (84.080)
* Prec@1 56.238 Prec@5 80.176 Loss@ 1.866
==>>[2018-06-22 21:58:37] [Epoch=051/150] [Need: 112:13:30] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=56.63/80.61, Error=43.37/19.39]
Epoch: [51][0/10010] Time 3.951 (3.951) Data 3.786 (3.786) Loss 2.1901 (2.1901) Prec@1 50.000 (50.000) Prec@5 72.656 (72.656)
Epoch: [51][200/10010] Time 0.393 (0.416) Data 0.000 (0.022) Loss 1.9160 (2.1491) Prec@1 47.656 (51.547) Prec@5 78.125 (75.023)
Epoch: [51][400/10010] Time 0.400 (0.407) Data 0.000 (0.011) Loss 2.3126 (2.1394) Prec@1 50.000 (51.769) Prec@5 71.094 (75.395)
Epoch: [51][600/10010] Time 0.403 (0.404) Data 0.000 (0.008) Loss 1.9213 (2.1475) Prec@1 50.000 (51.841) Prec@5 77.344 (75.235)
Epoch: [51][800/10010] Time 0.404 (0.402) Data 0.000 (0.006) Loss 2.1762 (2.1483) Prec@1 46.875 (51.907) Prec@5 76.562 (75.262)
Epoch: [51][1000/10010] Time 0.400 (0.402) Data 0.000 (0.005) Loss 1.7958 (2.1528) Prec@1 65.625 (51.791) Prec@5 78.125 (75.193)
Epoch: [51][1200/10010] Time 0.404 (0.401) Data 0.000 (0.004) Loss 2.1216 (2.1562) Prec@1 53.125 (51.693) Prec@5 76.562 (75.134)
Epoch: [51][1400/10010] Time 0.398 (0.401) Data 0.000 (0.004) Loss 2.4708 (2.1608) Prec@1 40.625 (51.605) Prec@5 74.219 (75.033)
Epoch: [51][1600/10010] Time 0.404 (0.400) Data 0.001 (0.003) Loss 2.2031 (2.1623) Prec@1 49.219 (51.561) Prec@5 74.219 (75.037)
Epoch: [51][1800/10010] Time 0.391 (0.400) Data 0.000 (0.003) Loss 2.0519 (2.1626) Prec@1 56.250 (51.569) Prec@5 72.656 (75.012)
Epoch: [51][2000/10010] Time 0.403 (0.400) Data 0.000 (0.003) Loss 2.0523 (2.1646) Prec@1 55.469 (51.554) Prec@5 74.219 (74.996)
Epoch: [51][2200/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.4780 (2.1660) Prec@1 50.000 (51.533) Prec@5 68.750 (74.979)
Epoch: [51][2400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.1444 (2.1681) Prec@1 52.344 (51.511) Prec@5 71.875 (74.977)
Epoch: [51][2600/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.5893 (2.1690) Prec@1 48.438 (51.500) Prec@5 71.875 (74.977)
Epoch: [51][2800/10010] Time 0.404 (0.399) Data 0.001 (0.002) Loss 2.5039 (2.1705) Prec@1 44.531 (51.474) Prec@5 74.219 (74.959)
Epoch: [51][3000/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 2.1173 (2.1704) Prec@1 51.562 (51.463) Prec@5 77.344 (74.974)
Epoch: [51][3200/10010] Time 0.400 (0.399) Data 0.001 (0.002) Loss 2.0569 (2.1713) Prec@1 53.125 (51.468) Prec@5 75.000 (74.941)
Epoch: [51][3400/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 2.0072 (2.1707) Prec@1 56.250 (51.471) Prec@5 75.781 (74.959)
Epoch: [51][3600/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.3599 (2.1716) Prec@1 52.344 (51.474) Prec@5 73.438 (74.956)
Epoch: [51][3800/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.2565 (2.1728) Prec@1 48.438 (51.462) Prec@5 75.781 (74.943)
Epoch: [51][4000/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 2.2551 (2.1742) Prec@1 50.000 (51.445) Prec@5 68.750 (74.918)
Epoch: [51][4200/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.4859 (2.1754) Prec@1 42.969 (51.423) Prec@5 71.875 (74.905)
Epoch: [51][4400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2802 (2.1763) Prec@1 50.781 (51.417) Prec@5 69.531 (74.882)
Epoch: [51][4600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.0845 (2.1773) Prec@1 53.906 (51.389) Prec@5 71.875 (74.855)
Epoch: [51][4800/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 2.4052 (2.1766) Prec@1 46.875 (51.408) Prec@5 71.094 (74.855)
Epoch: [51][5000/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 2.5816 (2.1777) Prec@1 42.188 (51.384) Prec@5 64.062 (74.830)
Epoch: [51][5200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1877 (2.1775) Prec@1 50.781 (51.390) Prec@5 73.438 (74.833)
Epoch: [51][5400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9278 (2.1779) Prec@1 57.812 (51.386) Prec@5 80.469 (74.837)
Epoch: [51][5600/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 2.2252 (2.1780) Prec@1 54.688 (51.382) Prec@5 71.094 (74.831)
Epoch: [51][5800/10010] Time 0.412 (0.399) Data 0.000 (0.001) Loss 1.8241 (2.1789) Prec@1 55.469 (51.371) Prec@5 78.906 (74.819)
Epoch: [51][6000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.4976 (2.1792) Prec@1 46.875 (51.364) Prec@5 67.188 (74.823)
Epoch: [51][6200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.1365 (2.1797) Prec@1 48.438 (51.360) Prec@5 78.906 (74.813)
Epoch: [51][6400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.3006 (2.1800) Prec@1 52.344 (51.362) Prec@5 71.875 (74.807)
Epoch: [51][6600/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.1022 (2.1800) Prec@1 53.125 (51.359) Prec@5 75.000 (74.810)
Epoch: [51][6800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0577 (2.1802) Prec@1 53.906 (51.362) Prec@5 75.781 (74.797)
Epoch: [51][7000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1487 (2.1810) Prec@1 53.906 (51.348) Prec@5 75.781 (74.793)
Epoch: [51][7200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0395 (2.1817) Prec@1 55.469 (51.337) Prec@5 83.594 (74.788)
Epoch: [51][7400/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.0888 (2.1815) Prec@1 54.688 (51.352) Prec@5 75.781 (74.791)
Epoch: [51][7600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.4308 (2.1811) Prec@1 48.438 (51.370) Prec@5 72.656 (74.797)
Epoch: [51][7800/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.0568 (2.1818) Prec@1 57.031 (51.355) Prec@5 76.562 (74.785)
Epoch: [51][8000/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.4230 (2.1824) Prec@1 48.438 (51.343) Prec@5 73.438 (74.780)
Epoch: [51][8200/10010] Time 0.394 (0.398) Data 0.000 (0.001) Loss 2.1145 (2.1828) Prec@1 57.812 (51.339) Prec@5 75.781 (74.773)
Epoch: [51][8400/10010] Time 0.402 (0.398) Data 0.001 (0.001) Loss 2.2092 (2.1829) Prec@1 53.906 (51.335) Prec@5 73.438 (74.776)
Epoch: [51][8600/10010] Time 0.402 (0.398) Data 0.000 (0.001) Loss 2.2177 (2.1835) Prec@1 50.781 (51.332) Prec@5 76.562 (74.756)
Epoch: [51][8800/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 1.9746 (2.1839) Prec@1 54.688 (51.326) Prec@5 74.219 (74.755)
Epoch: [51][9000/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 1.9739 (2.1838) Prec@1 53.906 (51.325) Prec@5 78.906 (74.755)
Epoch: [51][9200/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 2.3002 (2.1838) Prec@1 53.125 (51.322) Prec@5 70.312 (74.756)
Epoch: [51][9400/10010] Time 0.398 (0.398) Data 0.000 (0.001) Loss 2.1714 (2.1842) Prec@1 53.125 (51.317) Prec@5 71.875 (74.745)
Epoch: [51][9600/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 2.5409 (2.1844) Prec@1 49.219 (51.314) Prec@5 70.312 (74.739)
Epoch: [51][9800/10010] Time 0.398 (0.398) Data 0.000 (0.001) Loss 2.3480 (2.1848) Prec@1 51.562 (51.313) Prec@5 71.094 (74.735)
Epoch: [51][10000/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 2.3048 (2.1848) Prec@1 44.531 (51.311) Prec@5 68.750 (74.736)
Test: [0/391] Time 4.587 (4.587) Loss 0.8316 (0.8316) Prec@1 80.469 (80.469) Prec@5 91.406 (91.406)
Test: [200/391] Time 0.137 (0.250) Loss 2.3048 (1.5992) Prec@1 42.188 (60.724) Prec@5 75.000 (84.394)
* Prec@1 56.730 Prec@5 80.476 Loss@ 1.836
==>>[2018-06-22 23:06:38] [Epoch=052/150] [Need: 111:05:52] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=56.73/80.61, Error=43.27/19.39]
Epoch: [52][0/10010] Time 4.590 (4.590) Data 4.414 (4.414) Loss 2.4159 (2.4159) Prec@1 43.750 (43.750) Prec@5 71.875 (71.875)
Epoch: [52][200/10010] Time 0.398 (0.419) Data 0.000 (0.023) Loss 2.1461 (2.1793) Prec@1 51.562 (51.500) Prec@5 76.562 (74.907)
Epoch: [52][400/10010] Time 0.402 (0.408) Data 0.000 (0.012) Loss 2.2970 (2.1728) Prec@1 51.562 (51.668) Prec@5 73.438 (74.951)
Epoch: [52][600/10010] Time 0.397 (0.405) Data 0.000 (0.008) Loss 2.0616 (2.1699) Prec@1 54.688 (51.819) Prec@5 76.562 (74.940)
Epoch: [52][800/10010] Time 0.400 (0.403) Data 0.000 (0.006) Loss 2.5260 (2.1596) Prec@1 45.312 (51.948) Prec@5 68.750 (75.123)
Epoch: [52][1000/10010] Time 0.396 (0.402) Data 0.000 (0.005) Loss 1.8632 (2.1570) Prec@1 58.594 (51.893) Prec@5 80.469 (75.115)
Epoch: [52][1200/10010] Time 0.404 (0.401) Data 0.000 (0.004) Loss 2.3862 (2.1574) Prec@1 49.219 (51.860) Prec@5 67.969 (75.088)
Epoch: [52][1400/10010] Time 0.402 (0.401) Data 0.001 (0.004) Loss 2.2728 (2.1566) Prec@1 55.469 (51.853) Prec@5 71.875 (75.085)
Epoch: [52][1600/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 2.2360 (2.1555) Prec@1 49.219 (51.859) Prec@5 73.438 (75.106)
Epoch: [52][1800/10010] Time 0.399 (0.400) Data 0.001 (0.003) Loss 2.2137 (2.1593) Prec@1 51.562 (51.720) Prec@5 74.219 (75.076)
Epoch: [52][2000/10010] Time 0.400 (0.400) Data 0.000 (0.003) Loss 2.1003 (2.1599) Prec@1 47.656 (51.713) Prec@5 77.344 (75.076)
Epoch: [52][2200/10010] Time 0.400 (0.400) Data 0.000 (0.003) Loss 2.0918 (2.1594) Prec@1 50.781 (51.684) Prec@5 76.562 (75.089)
Epoch: [52][2400/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.1660 (2.1598) Prec@1 49.219 (51.666) Prec@5 71.875 (75.067)
Epoch: [52][2600/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 1.9786 (2.1600) Prec@1 53.906 (51.655) Prec@5 81.250 (75.075)
Epoch: [52][2800/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.0844 (2.1612) Prec@1 52.344 (51.596) Prec@5 78.906 (75.064)
Epoch: [52][3000/10010] Time 0.397 (0.399) Data 0.001 (0.002) Loss 2.1827 (2.1624) Prec@1 44.531 (51.585) Prec@5 75.781 (75.045)
Epoch: [52][3200/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.2728 (2.1640) Prec@1 49.219 (51.551) Prec@5 74.219 (75.030)
Epoch: [52][3400/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.0837 (2.1644) Prec@1 57.812 (51.551) Prec@5 78.906 (75.026)
Epoch: [52][3600/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.5108 (2.1668) Prec@1 44.531 (51.523) Prec@5 67.969 (74.998)
Epoch: [52][3800/10010] Time 0.402 (0.399) Data 0.000 (0.002) Loss 2.4153 (2.1668) Prec@1 50.000 (51.530) Prec@5 71.875 (74.998)
Epoch: [52][4000/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 2.1856 (2.1674) Prec@1 49.219 (51.514) Prec@5 75.781 (74.991)
Epoch: [52][4200/10010] Time 0.405 (0.399) Data 0.000 (0.002) Loss 1.9792 (2.1675) Prec@1 50.000 (51.505) Prec@5 75.781 (74.985)
Epoch: [52][4400/10010] Time 0.404 (0.399) Data 0.000 (0.002) Loss 1.9269 (2.1674) Prec@1 53.125 (51.519) Prec@5 77.344 (74.983)
Epoch: [52][4600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.5140 (2.1688) Prec@1 42.188 (51.503) Prec@5 65.625 (74.963)
Epoch: [52][4800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0693 (2.1686) Prec@1 50.000 (51.511) Prec@5 75.781 (74.972)
Epoch: [52][5000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.4465 (2.1693) Prec@1 45.312 (51.513) Prec@5 78.125 (74.961)
Epoch: [52][5200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2236 (2.1697) Prec@1 49.219 (51.495) Prec@5 77.344 (74.960)
Epoch: [52][5400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.1532 (2.1700) Prec@1 50.781 (51.495) Prec@5 75.781 (74.954)
Epoch: [52][5600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2846 (2.1705) Prec@1 49.219 (51.480) Prec@5 69.531 (74.955)
Epoch: [52][5800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.4830 (2.1708) Prec@1 45.312 (51.490) Prec@5 69.531 (74.956)
Epoch: [52][6000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2479 (2.1722) Prec@1 53.906 (51.455) Prec@5 73.438 (74.938)
Epoch: [52][6200/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.4598 (2.1740) Prec@1 48.438 (51.445) Prec@5 71.875 (74.917)
Epoch: [52][6400/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 2.1330 (2.1745) Prec@1 50.000 (51.437) Prec@5 75.000 (74.916)
Epoch: [52][6600/10010] Time 0.418 (0.399) Data 0.000 (0.001) Loss 1.9645 (2.1748) Prec@1 55.469 (51.416) Prec@5 78.125 (74.910)
Epoch: [52][6800/10010] Time 0.387 (0.399) Data 0.000 (0.001) Loss 2.3641 (2.1757) Prec@1 50.000 (51.397) Prec@5 72.656 (74.894)
Epoch: [52][7000/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.0871 (2.1771) Prec@1 55.469 (51.378) Prec@5 72.656 (74.876)
Epoch: [52][7200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.9452 (2.1774) Prec@1 54.688 (51.378) Prec@5 78.906 (74.870)
Epoch: [52][7400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.1945 (2.1782) Prec@1 53.906 (51.361) Prec@5 72.656 (74.858)
Epoch: [52][7600/10010] Time 0.394 (0.398) Data 0.001 (0.001) Loss 2.2276 (2.1782) Prec@1 50.000 (51.362) Prec@5 68.750 (74.859)
Epoch: [52][7800/10010] Time 0.400 (0.398) Data 0.000 (0.001) Loss 2.1346 (2.1781) Prec@1 48.438 (51.367) Prec@5 75.000 (74.859)
Epoch: [52][8000/10010] Time 0.399 (0.398) Data 0.000 (0.001) Loss 2.4367 (2.1787) Prec@1 47.656 (51.350) Prec@5 73.438 (74.850)
Epoch: [52][8200/10010] Time 0.399 (0.398) Data 0.000 (0.001) Loss 2.1022 (2.1789) Prec@1 52.344 (51.348) Prec@5 79.688 (74.843)
Epoch: [52][8400/10010] Time 0.393 (0.398) Data 0.000 (0.001) Loss 1.9840 (2.1792) Prec@1 53.906 (51.349) Prec@5 82.812 (74.837)
Epoch: [52][8600/10010] Time 0.401 (0.398) Data 0.000 (0.001) Loss 2.2122 (2.1789) Prec@1 49.219 (51.351) Prec@5 70.312 (74.840)
Epoch: [52][8800/10010] Time 0.407 (0.398) Data 0.000 (0.001) Loss 2.1237 (2.1791) Prec@1 51.562 (51.346) Prec@5 74.219 (74.839)
Epoch: [52][9000/10010] Time 0.399 (0.398) Data 0.000 (0.001) Loss 2.2559 (2.1800) Prec@1 47.656 (51.336) Prec@5 72.656 (74.825)
Epoch: [52][9200/10010] Time 0.402 (0.398) Data 0.000 (0.001) Loss 2.1676 (2.1802) Prec@1 48.438 (51.332) Prec@5 72.656 (74.821)
Epoch: [52][9400/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 2.3117 (2.1808) Prec@1 48.438 (51.316) Prec@5 71.875 (74.814)
Epoch: [52][9600/10010] Time 0.398 (0.398) Data 0.000 (0.001) Loss 2.2219 (2.1811) Prec@1 53.125 (51.306) Prec@5 71.875 (74.817)
Epoch: [52][9800/10010] Time 0.390 (0.398) Data 0.000 (0.001) Loss 1.8800 (2.1810) Prec@1 59.375 (51.307) Prec@5 81.250 (74.822)
Epoch: [52][10000/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 2.3106 (2.1810) Prec@1 47.656 (51.302) Prec@5 74.219 (74.816)
Test: [0/391] Time 4.389 (4.389) Loss 0.7942 (0.7942) Prec@1 81.250 (81.250) Prec@5 93.750 (93.750)
Test: [200/391] Time 0.152 (0.250) Loss 2.4229 (1.5664) Prec@1 45.312 (61.684) Prec@5 70.312 (85.040)
* Prec@1 57.190 Prec@5 80.750 Loss@ 1.832
==>>[2018-06-23 00:14:38] [Epoch=053/150] [Need: 109:56:25] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=57.19/80.75, Error=42.81/19.25]
Epoch: [53][0/10010] Time 4.936 (4.936) Data 4.768 (4.768) Loss 2.0560 (2.0560) Prec@1 52.344 (52.344) Prec@5 77.344 (77.344)
Epoch: [53][200/10010] Time 0.395 (0.421) Data 0.000 (0.025) Loss 2.2549 (2.1311) Prec@1 50.000 (52.596) Prec@5 72.656 (75.711)
Epoch: [53][400/10010] Time 0.398 (0.409) Data 0.000 (0.013) Loss 2.4157 (2.1430) Prec@1 50.781 (52.196) Prec@5 70.312 (75.364)
Epoch: [53][600/10010] Time 0.397 (0.405) Data 0.000 (0.009) Loss 2.1211 (2.1424) Prec@1 50.781 (52.086) Prec@5 72.656 (75.354)
Epoch: [53][800/10010] Time 0.399 (0.403) Data 0.000 (0.007) Loss 2.1977 (2.1447) Prec@1 43.750 (51.918) Prec@5 76.562 (75.301)
Epoch: [53][1000/10010] Time 0.394 (0.402) Data 0.001 (0.005) Loss 2.2824 (2.1518) Prec@1 48.438 (51.826) Prec@5 75.781 (75.155)
Epoch: [53][1200/10010] Time 0.398 (0.402) Data 0.000 (0.005) Loss 1.7407 (2.1560) Prec@1 60.938 (51.706) Prec@5 83.594 (75.118)
Epoch: [53][1400/10010] Time 0.393 (0.401) Data 0.000 (0.004) Loss 2.0502 (2.1553) Prec@1 58.594 (51.794) Prec@5 75.781 (75.171)
Epoch: [53][1600/10010] Time 0.403 (0.401) Data 0.000 (0.004) Loss 2.3087 (2.1556) Prec@1 50.781 (51.789) Prec@5 73.438 (75.125)
Epoch: [53][1800/10010] Time 0.393 (0.400) Data 0.000 (0.003) Loss 2.0760 (2.1559) Prec@1 53.906 (51.784) Prec@5 77.344 (75.137)
Epoch: [53][2000/10010] Time 0.399 (0.400) Data 0.000 (0.003) Loss 2.3325 (2.1578) Prec@1 53.906 (51.703) Prec@5 73.438 (75.121)
Epoch: [53][2200/10010] Time 0.391 (0.400) Data 0.000 (0.003) Loss 2.3132 (2.1572) Prec@1 49.219 (51.737) Prec@5 70.312 (75.120)
Epoch: [53][2400/10010] Time 0.396 (0.400) Data 0.000 (0.003) Loss 2.3359 (2.1594) Prec@1 48.438 (51.667) Prec@5 70.312 (75.071)
Epoch: [53][2600/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.3102 (2.1604) Prec@1 50.781 (51.681) Prec@5 67.969 (75.058)
Epoch: [53][2800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.3715 (2.1624) Prec@1 47.656 (51.655) Prec@5 68.750 (75.047)
Epoch: [53][3000/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 1.9514 (2.1633) Prec@1 55.469 (51.629) Prec@5 82.031 (75.058)
Epoch: [53][3200/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.1141 (2.1638) Prec@1 53.125 (51.613) Prec@5 73.438 (75.028)
Epoch: [53][3400/10010] Time 0.391 (0.399) Data 0.000 (0.002) Loss 2.3060 (2.1638) Prec@1 48.438 (51.605) Prec@5 71.094 (75.033)
Epoch: [53][3600/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.4971 (2.1658) Prec@1 48.438 (51.562) Prec@5 71.094 (75.010)
Epoch: [53][3800/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 2.1166 (2.1673) Prec@1 52.344 (51.540) Prec@5 71.094 (74.989)
Epoch: [53][4000/10010] Time 0.393 (0.399) Data 0.000 (0.002) Loss 2.0917 (2.1668) Prec@1 47.656 (51.562) Prec@5 78.906 (74.993)
Epoch: [53][4200/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 2.1526 (2.1679) Prec@1 50.000 (51.551) Prec@5 77.344 (74.981)
Epoch: [53][4400/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 2.1200 (2.1689) Prec@1 54.688 (51.518) Prec@5 75.000 (74.966)
Epoch: [53][4600/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.4585 (2.1686) Prec@1 49.219 (51.522) Prec@5 68.750 (74.978)
Epoch: [53][4800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2406 (2.1689) Prec@1 46.875 (51.517) Prec@5 76.562 (74.971)
Epoch: [53][5000/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.2472 (2.1687) Prec@1 44.531 (51.515) Prec@5 73.438 (74.966)
Epoch: [53][5200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2261 (2.1695) Prec@1 57.031 (51.503) Prec@5 75.781 (74.955)
Epoch: [53][5400/10010] Time 0.411 (0.399) Data 0.000 (0.001) Loss 2.1631 (2.1701) Prec@1 50.000 (51.481) Prec@5 77.344 (74.949)
Epoch: [53][5600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.3598 (2.1709) Prec@1 53.906 (51.471) Prec@5 67.969 (74.936)
Epoch: [53][5800/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.0463 (2.1710) Prec@1 50.781 (51.466) Prec@5 76.562 (74.938)
Epoch: [53][6000/10010] Time 0.410 (0.399) Data 0.000 (0.001) Loss 2.2810 (2.1719) Prec@1 42.969 (51.464) Prec@5 71.094 (74.932)
Epoch: [53][6200/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.3346 (2.1716) Prec@1 50.000 (51.463) Prec@5 72.656 (74.932)
Epoch: [53][6400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.4103 (2.1726) Prec@1 44.531 (51.448) Prec@5 72.656 (74.912)
Epoch: [53][6600/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 1.9939 (2.1729) Prec@1 55.469 (51.447) Prec@5 75.000 (74.907)
Epoch: [53][6800/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.1281 (2.1734) Prec@1 51.562 (51.443) Prec@5 75.781 (74.901)
Epoch: [53][7000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.8021 (2.1736) Prec@1 59.375 (51.449) Prec@5 82.031 (74.897)
Epoch: [53][7200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.1326 (2.1742) Prec@1 51.562 (51.436) Prec@5 74.219 (74.884)
Epoch: [53][7400/10010] Time 0.405 (0.398) Data 0.000 (0.001) Loss 2.3917 (2.1745) Prec@1 50.000 (51.430) Prec@5 71.094 (74.886)
Epoch: [53][7600/10010] Time 0.400 (0.398) Data 0.001 (0.001) Loss 2.3140 (2.1746) Prec@1 44.531 (51.426) Prec@5 73.438 (74.887)
Epoch: [53][7800/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 1.9078 (2.1747) Prec@1 53.906 (51.426) Prec@5 78.906 (74.885)
Epoch: [53][8000/10010] Time 0.391 (0.398) Data 0.000 (0.001) Loss 2.3394 (2.1745) Prec@1 50.000 (51.434) Prec@5 74.219 (74.888)
Epoch: [53][8200/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 2.0966 (2.1747) Prec@1 50.781 (51.433) Prec@5 73.438 (74.888)
Epoch: [53][8400/10010] Time 0.390 (0.398) Data 0.000 (0.001) Loss 1.9107 (2.1747) Prec@1 51.562 (51.429) Prec@5 83.594 (74.888)
Epoch: [53][8600/10010] Time 0.391 (0.398) Data 0.000 (0.001) Loss 2.2385 (2.1748) Prec@1 50.000 (51.424) Prec@5 78.125 (74.882)
Epoch: [53][8800/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 2.0805 (2.1751) Prec@1 55.469 (51.424) Prec@5 78.125 (74.878)
Epoch: [53][9000/10010] Time 0.401 (0.398) Data 0.000 (0.001) Loss 2.0634 (2.1751) Prec@1 52.344 (51.417) Prec@5 75.000 (74.880)
Epoch: [53][9200/10010] Time 0.392 (0.398) Data 0.000 (0.001) Loss 2.3974 (2.1753) Prec@1 44.531 (51.413) Prec@5 70.312 (74.881)
Epoch: [53][9400/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 1.8398 (2.1755) Prec@1 60.938 (51.417) Prec@5 81.250 (74.883)
Epoch: [53][9600/10010] Time 0.391 (0.398) Data 0.000 (0.001) Loss 2.1545 (2.1760) Prec@1 56.250 (51.415) Prec@5 73.438 (74.878)
Epoch: [53][9800/10010] Time 0.400 (0.398) Data 0.000 (0.001) Loss 2.5635 (2.1762) Prec@1 43.750 (51.413) Prec@5 69.531 (74.877)
Epoch: [53][10000/10010] Time 0.393 (0.398) Data 0.000 (0.001) Loss 2.1671 (2.1767) Prec@1 49.219 (51.404) Prec@5 75.000 (74.869)
Test: [0/391] Time 4.107 (4.107) Loss 0.9977 (0.9977) Prec@1 78.125 (78.125) Prec@5 89.062 (89.062)
Test: [200/391] Time 0.138 (0.253) Loss 1.8917 (1.6139) Prec@1 50.781 (60.479) Prec@5 78.906 (84.585)
* Prec@1 56.402 Prec@5 80.290 Loss@ 1.860
==>>[2018-06-23 01:22:41] [Epoch=054/150] [Need: 108:51:57] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=57.19/80.75, Error=42.81/19.25]
Epoch: [54][0/10010] Time 4.839 (4.839) Data 4.681 (4.681) Loss 2.5603 (2.5603) Prec@1 40.625 (40.625) Prec@5 73.438 (73.438)
Epoch: [54][200/10010] Time 0.394 (0.420) Data 0.000 (0.024) Loss 2.3179 (2.1588) Prec@1 49.219 (51.493) Prec@5 71.875 (75.455)
Epoch: [54][400/10010] Time 0.399 (0.409) Data 0.000 (0.012) Loss 1.9811 (2.1560) Prec@1 50.781 (51.826) Prec@5 79.688 (75.390)
Epoch: [54][600/10010] Time 0.402 (0.405) Data 0.000 (0.008) Loss 2.4520 (2.1504) Prec@1 41.406 (51.841) Prec@5 74.219 (75.450)
Epoch: [54][800/10010] Time 0.408 (0.404) Data 0.000 (0.006) Loss 2.3137 (2.1567) Prec@1 53.125 (51.874) Prec@5 72.656 (75.304)
Epoch: [54][1000/10010] Time 0.393 (0.402) Data 0.000 (0.005) Loss 2.1504 (2.1573) Prec@1 52.344 (51.923) Prec@5 74.219 (75.245)
Epoch: [54][1200/10010] Time 0.392 (0.402) Data 0.000 (0.004) Loss 2.1811 (2.1619) Prec@1 49.219 (51.805) Prec@5 72.656 (75.136)
Epoch: [54][1400/10010] Time 0.400 (0.401) Data 0.000 (0.004) Loss 2.2458 (2.1647) Prec@1 51.562 (51.731) Prec@5 73.438 (75.109)
Epoch: [54][1600/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.0145 (2.1660) Prec@1 54.688 (51.758) Prec@5 75.781 (75.067)
Epoch: [54][1800/10010] Time 0.400 (0.400) Data 0.000 (0.003) Loss 2.0533 (2.1652) Prec@1 55.469 (51.726) Prec@5 78.906 (75.096)
Epoch: [54][2000/10010] Time 0.406 (0.400) Data 0.000 (0.003) Loss 2.4657 (2.1655) Prec@1 44.531 (51.700) Prec@5 71.094 (75.150)
Epoch: [54][2200/10010] Time 0.388 (0.400) Data 0.000 (0.003) Loss 2.3682 (2.1664) Prec@1 45.312 (51.682) Prec@5 74.219 (75.137)
Epoch: [54][2400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.5982 (2.1691) Prec@1 41.406 (51.647) Prec@5 66.406 (75.110)
Epoch: [54][2600/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.3727 (2.1681) Prec@1 48.438 (51.630) Prec@5 75.000 (75.110)
Epoch: [54][2800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.0324 (2.1679) Prec@1 50.781 (51.638) Prec@5 76.562 (75.098)
Epoch: [54][3000/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 2.0497 (2.1673) Prec@1 57.031 (51.627) Prec@5 78.125 (75.106)
Epoch: [54][3200/10010] Time 0.393 (0.399) Data 0.000 (0.002) Loss 2.4374 (2.1690) Prec@1 51.562 (51.591) Prec@5 68.750 (75.079)
Epoch: [54][3400/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 2.1499 (2.1686) Prec@1 54.688 (51.589) Prec@5 77.344 (75.087)
Epoch: [54][3600/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.3192 (2.1684) Prec@1 49.219 (51.571) Prec@5 70.312 (75.104)
Epoch: [54][3800/10010] Time 0.406 (0.399) Data 0.000 (0.002) Loss 2.0581 (2.1692) Prec@1 50.000 (51.560) Prec@5 75.781 (75.092)
Epoch: [54][4000/10010] Time 0.402 (0.399) Data 0.001 (0.002) Loss 2.1020 (2.1684) Prec@1 53.125 (51.570) Prec@5 73.438 (75.102)
Epoch: [54][4200/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 2.5272 (2.1678) Prec@1 46.094 (51.580) Prec@5 69.531 (75.109)
Epoch: [54][4400/10010] Time 0.393 (0.399) Data 0.000 (0.002) Loss 2.1775 (2.1680) Prec@1 52.344 (51.583) Prec@5 71.094 (75.092)
Epoch: [54][4600/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 1.9858 (2.1682) Prec@1 54.688 (51.566) Prec@5 78.125 (75.084)
Epoch: [54][4800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.4547 (2.1689) Prec@1 45.312 (51.549) Prec@5 71.094 (75.058)
Epoch: [54][5000/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.2706 (2.1691) Prec@1 45.312 (51.554) Prec@5 71.875 (75.052)
Epoch: [54][5200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.8794 (2.1691) Prec@1 55.469 (51.549) Prec@5 80.469 (75.050)
Epoch: [54][5400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.9965 (2.1705) Prec@1 54.688 (51.516) Prec@5 75.000 (75.024)
Epoch: [54][5600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0348 (2.1708) Prec@1 45.312 (51.505) Prec@5 76.562 (75.021)
Epoch: [54][5800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2480 (2.1715) Prec@1 46.875 (51.488) Prec@5 75.000 (75.010)
Epoch: [54][6000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7343 (2.1717) Prec@1 58.594 (51.487) Prec@5 81.250 (74.996)
Epoch: [54][6200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.8608 (2.1724) Prec@1 56.250 (51.481) Prec@5 76.562 (74.986)
Epoch: [54][6400/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.0939 (2.1723) Prec@1 53.125 (51.487) Prec@5 75.000 (74.971)
Epoch: [54][6600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.0804 (2.1719) Prec@1 52.344 (51.491) Prec@5 78.906 (74.986)
Epoch: [54][6800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.4485 (2.1723) Prec@1 50.781 (51.492) Prec@5 70.312 (74.980)
Epoch: [54][7000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.9121 (2.1726) Prec@1 56.250 (51.480) Prec@5 78.125 (74.976)
Epoch: [54][7200/10010] Time 0.407 (0.399) Data 0.001 (0.001) Loss 2.5030 (2.1721) Prec@1 49.219 (51.478) Prec@5 68.750 (74.990)
Epoch: [54][7400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.8453 (2.1721) Prec@1 55.469 (51.479) Prec@5 80.469 (74.990)
Epoch: [54][7600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0150 (2.1717) Prec@1 57.031 (51.485) Prec@5 78.125 (74.998)
Epoch: [54][7800/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 1.9997 (2.1717) Prec@1 57.031 (51.488) Prec@5 75.000 (74.998)
Epoch: [54][8000/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 2.5116 (2.1720) Prec@1 46.875 (51.487) Prec@5 72.656 (75.000)
Epoch: [54][8200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.8834 (2.1720) Prec@1 51.562 (51.482) Prec@5 78.906 (75.008)
Epoch: [54][8400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.0595 (2.1724) Prec@1 53.125 (51.480) Prec@5 75.781 (75.005)
Epoch: [54][8600/10010] Time 0.403 (0.399) Data 0.001 (0.001) Loss 2.3421 (2.1726) Prec@1 42.188 (51.473) Prec@5 72.656 (75.000)
Epoch: [54][8800/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 2.4378 (2.1728) Prec@1 49.219 (51.470) Prec@5 72.656 (74.996)
Epoch: [54][9000/10010] Time 0.406 (0.398) Data 0.000 (0.001) Loss 2.0241 (2.1729) Prec@1 58.594 (51.472) Prec@5 77.344 (74.998)
Epoch: [54][9200/10010] Time 0.394 (0.398) Data 0.000 (0.001) Loss 2.3722 (2.1734) Prec@1 51.562 (51.460) Prec@5 68.750 (74.984)
Epoch: [54][9400/10010] Time 0.398 (0.398) Data 0.000 (0.001) Loss 2.1891 (2.1735) Prec@1 52.344 (51.463) Prec@5 72.656 (74.976)
Epoch: [54][9600/10010] Time 0.404 (0.398) Data 0.000 (0.001) Loss 2.4645 (2.1732) Prec@1 46.875 (51.469) Prec@5 66.406 (74.980)
Epoch: [54][9800/10010] Time 0.396 (0.398) Data 0.001 (0.001) Loss 2.0190 (2.1734) Prec@1 57.031 (51.470) Prec@5 80.469 (74.973)
Epoch: [54][10000/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 2.2679 (2.1736) Prec@1 53.125 (51.470) Prec@5 72.656 (74.966)
Test: [0/391] Time 4.729 (4.729) Loss 1.0724 (1.0724) Prec@1 76.562 (76.562) Prec@5 91.406 (91.406)
Test: [200/391] Time 0.158 (0.259) Loss 2.3372 (1.6990) Prec@1 45.312 (58.602) Prec@5 72.656 (83.038)
* Prec@1 55.136 Prec@5 79.258 Loss@ 1.916
==>>[2018-06-23 02:30:43] [Epoch=055/150] [Need: 107:43:56] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=57.19/80.75, Error=42.81/19.25]
Epoch: [55][0/10010] Time 4.387 (4.387) Data 4.211 (4.211) Loss 2.1802 (2.1802) Prec@1 53.906 (53.906) Prec@5 77.344 (77.344)
Epoch: [55][200/10010] Time 0.393 (0.417) Data 0.000 (0.024) Loss 2.1936 (2.1260) Prec@1 51.562 (52.530) Prec@5 74.219 (75.890)
Epoch: [55][400/10010] Time 0.402 (0.408) Data 0.000 (0.012) Loss 2.2780 (2.1286) Prec@1 47.656 (52.541) Prec@5 71.875 (75.846)
Epoch: [55][600/10010] Time 0.393 (0.404) Data 0.000 (0.008) Loss 1.9111 (2.1287) Prec@1 57.031 (52.427) Prec@5 78.906 (75.887)
Epoch: [55][800/10010] Time 0.394 (0.403) Data 0.000 (0.006) Loss 2.2334 (2.1389) Prec@1 49.219 (52.219) Prec@5 78.906 (75.705)
Epoch: [55][1000/10010] Time 0.388 (0.402) Data 0.000 (0.005) Loss 1.8763 (2.1409) Prec@1 55.469 (52.159) Prec@5 79.688 (75.612)
Epoch: [55][1200/10010] Time 0.395 (0.401) Data 0.000 (0.004) Loss 2.3263 (2.1458) Prec@1 49.219 (52.039) Prec@5 73.438 (75.482)
Epoch: [55][1400/10010] Time 0.402 (0.401) Data 0.000 (0.004) Loss 2.3300 (2.1502) Prec@1 52.344 (51.904) Prec@5 73.438 (75.399)
Epoch: [55][1600/10010] Time 0.394 (0.400) Data 0.000 (0.003) Loss 2.3217 (2.1505) Prec@1 49.219 (51.879) Prec@5 71.875 (75.413)
Epoch: [55][1800/10010] Time 0.399 (0.400) Data 0.000 (0.003) Loss 2.2445 (2.1537) Prec@1 55.469 (51.797) Prec@5 73.438 (75.379)
Epoch: [55][2000/10010] Time 0.401 (0.400) Data 0.000 (0.003) Loss 2.1882 (2.1543) Prec@1 50.781 (51.754) Prec@5 75.781 (75.357)
Epoch: [55][2200/10010] Time 0.397 (0.400) Data 0.000 (0.003) Loss 2.1058 (2.1542) Prec@1 58.594 (51.796) Prec@5 78.906 (75.358)
Epoch: [55][2400/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 2.3935 (2.1553) Prec@1 47.656 (51.783) Prec@5 71.875 (75.355)
Epoch: [55][2600/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 2.3361 (2.1569) Prec@1 50.781 (51.764) Prec@5 71.094 (75.334)
Epoch: [55][2800/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.0214 (2.1576) Prec@1 58.594 (51.738) Prec@5 73.438 (75.294)
Epoch: [55][3000/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 2.3554 (2.1593) Prec@1 47.656 (51.729) Prec@5 75.000 (75.258)
Epoch: [55][3200/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 1.9967 (2.1598) Prec@1 53.125 (51.731) Prec@5 76.562 (75.229)
Epoch: [55][3400/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 2.2865 (2.1606) Prec@1 50.781 (51.739) Prec@5 71.094 (75.226)
Epoch: [55][3600/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 2.2423 (2.1604) Prec@1 50.000 (51.758) Prec@5 73.438 (75.232)
Epoch: [55][3800/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.0670 (2.1602) Prec@1 50.781 (51.748) Prec@5 75.000 (75.231)
Epoch: [55][4000/10010] Time 0.402 (0.399) Data 0.000 (0.002) Loss 1.9756 (2.1603) Prec@1 59.375 (51.752) Prec@5 78.125 (75.228)
Epoch: [55][4200/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.1897 (2.1594) Prec@1 50.000 (51.781) Prec@5 75.000 (75.238)
Epoch: [55][4400/10010] Time 0.405 (0.399) Data 0.000 (0.002) Loss 2.4320 (2.1612) Prec@1 51.562 (51.741) Prec@5 68.750 (75.209)
Epoch: [55][4600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.1679 (2.1628) Prec@1 51.562 (51.716) Prec@5 71.875 (75.179)
Epoch: [55][4800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.3539 (2.1624) Prec@1 48.438 (51.705) Prec@5 70.312 (75.173)
Epoch: [55][5000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.0325 (2.1626) Prec@1 56.250 (51.698) Prec@5 76.562 (75.158)
Epoch: [55][5200/10010] Time 0.409 (0.399) Data 0.000 (0.001) Loss 2.3160 (2.1639) Prec@1 53.906 (51.678) Prec@5 75.000 (75.147)
Epoch: [55][5400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.1128 (2.1646) Prec@1 54.688 (51.674) Prec@5 74.219 (75.136)
Epoch: [55][5600/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 2.4665 (2.1648) Prec@1 46.094 (51.674) Prec@5 69.531 (75.134)
Epoch: [55][5800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.0506 (2.1648) Prec@1 53.906 (51.682) Prec@5 78.125 (75.142)
Epoch: [55][6000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1473 (2.1653) Prec@1 53.125 (51.674) Prec@5 77.344 (75.137)
Epoch: [55][6200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.9781 (2.1649) Prec@1 53.906 (51.677) Prec@5 76.562 (75.143)
Epoch: [55][6400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.8794 (2.1645) Prec@1 59.375 (51.683) Prec@5 76.562 (75.147)
Epoch: [55][6600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.2087 (2.1656) Prec@1 46.094 (51.659) Prec@5 77.344 (75.125)
Epoch: [55][6800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1323 (2.1654) Prec@1 50.781 (51.661) Prec@5 75.000 (75.121)
Epoch: [55][7000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.4765 (2.1660) Prec@1 46.094 (51.650) Prec@5 71.094 (75.108)
Epoch: [55][7200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.4695 (2.1660) Prec@1 46.875 (51.655) Prec@5 69.531 (75.103)
Epoch: [55][7400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.9510 (2.1660) Prec@1 60.938 (51.653) Prec@5 80.469 (75.108)
Epoch: [55][7600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.3803 (2.1657) Prec@1 46.875 (51.661) Prec@5 69.531 (75.110)
Epoch: [55][7800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.7230 (2.1662) Prec@1 55.469 (51.656) Prec@5 83.594 (75.098)
Epoch: [55][8000/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.0692 (2.1661) Prec@1 54.688 (51.662) Prec@5 72.656 (75.097)
Epoch: [55][8200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2747 (2.1668) Prec@1 45.312 (51.647) Prec@5 75.781 (75.080)
Epoch: [55][8400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.8191 (2.1667) Prec@1 55.469 (51.645) Prec@5 80.469 (75.082)
Epoch: [55][8600/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.2853 (2.1673) Prec@1 54.688 (51.640) Prec@5 75.000 (75.079)
Epoch: [55][8800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7066 (2.1679) Prec@1 63.281 (51.634) Prec@5 78.906 (75.069)
Epoch: [55][9000/10010] Time 0.384 (0.399) Data 0.001 (0.001) Loss 2.0805 (2.1684) Prec@1 51.562 (51.617) Prec@5 80.469 (75.060)
Epoch: [55][9200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.0173 (2.1683) Prec@1 53.906 (51.613) Prec@5 78.125 (75.064)
Epoch: [55][9400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.8656 (2.1684) Prec@1 56.250 (51.611) Prec@5 82.812 (75.056)
Epoch: [55][9600/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 2.0035 (2.1691) Prec@1 53.125 (51.594) Prec@5 78.906 (75.042)
Epoch: [55][9800/10010] Time 0.399 (0.398) Data 0.001 (0.001) Loss 2.2293 (2.1693) Prec@1 50.781 (51.590) Prec@5 71.875 (75.039)
Epoch: [55][10000/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 2.1936 (2.1696) Prec@1 47.656 (51.589) Prec@5 71.094 (75.035)
Test: [0/391] Time 4.846 (4.846) Loss 1.1020 (1.1020) Prec@1 76.562 (76.562) Prec@5 89.844 (89.844)
Test: [200/391] Time 0.139 (0.240) Loss 1.9343 (1.6011) Prec@1 51.562 (60.918) Prec@5 77.344 (84.492)
* Prec@1 56.514 Prec@5 80.196 Loss@ 1.859
==>>[2018-06-23 03:38:43] [Epoch=056/150] [Need: 106:31:18] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=57.19/80.75, Error=42.81/19.25]
Epoch: [56][0/10010] Time 4.248 (4.248) Data 4.083 (4.083) Loss 2.1781 (2.1781) Prec@1 46.094 (46.094) Prec@5 76.562 (76.562)
Epoch: [56][200/10010] Time 0.399 (0.417) Data 0.000 (0.023) Loss 2.3395 (2.1356) Prec@1 51.562 (51.951) Prec@5 75.781 (75.614)
Epoch: [56][400/10010] Time 0.406 (0.408) Data 0.000 (0.012) Loss 2.0838 (2.1370) Prec@1 49.219 (51.972) Prec@5 74.219 (75.701)
Epoch: [56][600/10010] Time 0.399 (0.405) Data 0.000 (0.008) Loss 2.3734 (2.1449) Prec@1 50.781 (51.964) Prec@5 70.312 (75.486)
Epoch: [56][800/10010] Time 0.400 (0.403) Data 0.000 (0.006) Loss 2.3464 (2.1474) Prec@1 48.438 (52.021) Prec@5 69.531 (75.446)
Epoch: [56][1000/10010] Time 0.405 (0.402) Data 0.001 (0.005) Loss 2.1236 (2.1467) Prec@1 54.688 (52.028) Prec@5 77.344 (75.467)
Epoch: [56][1200/10010] Time 0.394 (0.401) Data 0.000 (0.004) Loss 2.3741 (2.1472) Prec@1 39.844 (52.035) Prec@5 72.656 (75.423)
Epoch: [56][1400/10010] Time 0.405 (0.401) Data 0.000 (0.004) Loss 2.2975 (2.1459) Prec@1 59.375 (52.068) Prec@5 75.781 (75.465)
Epoch: [56][1600/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 2.3878 (2.1461) Prec@1 55.469 (52.087) Prec@5 69.531 (75.440)
Epoch: [56][1800/10010] Time 0.391 (0.400) Data 0.000 (0.003) Loss 2.2261 (2.1475) Prec@1 53.906 (52.051) Prec@5 76.562 (75.403)
Epoch: [56][2000/10010] Time 0.393 (0.400) Data 0.000 (0.003) Loss 2.5002 (2.1475) Prec@1 48.438 (52.052) Prec@5 71.875 (75.397)
Epoch: [56][2200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.3942 (2.1482) Prec@1 45.312 (52.052) Prec@5 72.656 (75.373)
Epoch: [56][2400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.9870 (2.1495) Prec@1 53.125 (52.016) Prec@5 77.344 (75.343)
Epoch: [56][2600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.0380 (2.1507) Prec@1 56.250 (51.979) Prec@5 81.250 (75.338)
Epoch: [56][2800/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.2085 (2.1504) Prec@1 48.438 (51.967) Prec@5 74.219 (75.352)
Epoch: [56][3000/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.1662 (2.1506) Prec@1 50.781 (51.943) Prec@5 72.656 (75.341)
Epoch: [56][3200/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.6394 (2.1527) Prec@1 39.844 (51.899) Prec@5 64.844 (75.293)
Epoch: [56][3400/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.2681 (2.1537) Prec@1 49.219 (51.883) Prec@5 71.094 (75.257)
Epoch: [56][3600/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 2.5060 (2.1521) Prec@1 45.312 (51.901) Prec@5 71.094 (75.293)
Epoch: [56][3800/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.5543 (2.1537) Prec@1 42.969 (51.864) Prec@5 67.969 (75.275)
Epoch: [56][4000/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 2.1041 (2.1540) Prec@1 51.562 (51.853) Prec@5 75.000 (75.263)
Epoch: [56][4200/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 2.2883 (2.1545) Prec@1 50.000 (51.836) Prec@5 71.875 (75.248)
Epoch: [56][4400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.0898 (2.1555) Prec@1 53.906 (51.794) Prec@5 78.125 (75.238)
Epoch: [56][4600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.9507 (2.1574) Prec@1 57.812 (51.775) Prec@5 77.344 (75.210)
Epoch: [56][4800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.0934 (2.1570) Prec@1 51.562 (51.767) Prec@5 78.906 (75.220)
Epoch: [56][5000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2985 (2.1570) Prec@1 48.438 (51.766) Prec@5 76.562 (75.217)
Epoch: [56][5200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.4941 (2.1564) Prec@1 50.000 (51.787) Prec@5 73.438 (75.230)
Epoch: [56][5400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.9839 (2.1562) Prec@1 54.688 (51.796) Prec@5 78.906 (75.233)
Epoch: [56][5600/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 2.2175 (2.1562) Prec@1 52.344 (51.801) Prec@5 73.438 (75.229)
Epoch: [56][5800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.1749 (2.1568) Prec@1 50.781 (51.795) Prec@5 75.781 (75.227)
Epoch: [56][6000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1773 (2.1578) Prec@1 56.250 (51.765) Prec@5 74.219 (75.209)
Epoch: [56][6200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.1009 (2.1584) Prec@1 53.125 (51.741) Prec@5 74.219 (75.198)
Epoch: [56][6400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.5547 (2.1581) Prec@1 60.938 (51.750) Prec@5 87.500 (75.195)
Epoch: [56][6600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2535 (2.1590) Prec@1 52.344 (51.743) Prec@5 71.875 (75.181)
Epoch: [56][6800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.2756 (2.1596) Prec@1 46.094 (51.728) Prec@5 70.312 (75.168)
Epoch: [56][7000/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.1491 (2.1599) Prec@1 49.219 (51.726) Prec@5 75.000 (75.160)
Epoch: [56][7200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2116 (2.1596) Prec@1 49.219 (51.724) Prec@5 76.562 (75.172)
Epoch: [56][7400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.4423 (2.1598) Prec@1 45.312 (51.721) Prec@5 71.875 (75.169)
Epoch: [56][7600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.9886 (2.1603) Prec@1 52.344 (51.707) Prec@5 78.125 (75.164)
Epoch: [56][7800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2512 (2.1599) Prec@1 46.875 (51.718) Prec@5 76.562 (75.173)
Epoch: [56][8000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.7211 (2.1605) Prec@1 60.156 (51.708) Prec@5 82.812 (75.163)
Epoch: [56][8200/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.2931 (2.1610) Prec@1 50.000 (51.689) Prec@5 75.000 (75.149)
Epoch: [56][8400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.3290 (2.1610) Prec@1 50.000 (51.689) Prec@5 73.438 (75.143)
Epoch: [56][8600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.1425 (2.1614) Prec@1 50.781 (51.689) Prec@5 75.000 (75.135)
Epoch: [56][8800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.0156 (2.1620) Prec@1 55.469 (51.679) Prec@5 75.781 (75.120)
Epoch: [56][9000/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.0499 (2.1622) Prec@1 51.562 (51.671) Prec@5 78.125 (75.119)
Epoch: [56][9200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.8178 (2.1633) Prec@1 55.469 (51.655) Prec@5 78.906 (75.099)
Epoch: [56][9400/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 1.7033 (2.1639) Prec@1 54.688 (51.647) Prec@5 83.594 (75.090)
Epoch: [56][9600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.6181 (2.1646) Prec@1 46.094 (51.635) Prec@5 65.625 (75.076)
Epoch: [56][9800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2585 (2.1646) Prec@1 44.531 (51.635) Prec@5 71.875 (75.074)
Epoch: [56][10000/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 2.3023 (2.1645) Prec@1 41.406 (51.639) Prec@5 73.438 (75.074)
Test: [0/391] Time 4.868 (4.868) Loss 0.7688 (0.7688) Prec@1 85.938 (85.938) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.140 (0.242) Loss 2.7612 (1.6315) Prec@1 39.062 (60.055) Prec@5 67.188 (84.169)
* Prec@1 56.060 Prec@5 80.270 Loss@ 1.866
==>>[2018-06-23 04:46:46] [Epoch=057/150] [Need: 105:29:14] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=57.19/80.75, Error=42.81/19.25]
Epoch: [57][0/10010] Time 4.407 (4.407) Data 4.239 (4.239) Loss 2.0112 (2.0112) Prec@1 53.125 (53.125) Prec@5 78.125 (78.125)
Epoch: [57][200/10010] Time 0.400 (0.418) Data 0.000 (0.022) Loss 2.3998 (2.1455) Prec@1 49.219 (52.126) Prec@5 71.875 (75.505)
Epoch: [57][400/10010] Time 0.405 (0.408) Data 0.000 (0.011) Loss 2.0828 (2.1596) Prec@1 50.781 (51.913) Prec@5 75.000 (75.088)
Epoch: [57][600/10010] Time 0.402 (0.405) Data 0.001 (0.008) Loss 2.0844 (2.1583) Prec@1 53.125 (51.920) Prec@5 75.781 (75.134)
Epoch: [57][800/10010] Time 0.396 (0.403) Data 0.000 (0.006) Loss 2.2115 (2.1566) Prec@1 53.125 (51.980) Prec@5 71.875 (75.153)
Epoch: [57][1000/10010] Time 0.397 (0.402) Data 0.000 (0.005) Loss 2.1382 (2.1541) Prec@1 51.562 (51.951) Prec@5 71.875 (75.215)
Epoch: [57][1200/10010] Time 0.397 (0.401) Data 0.000 (0.004) Loss 2.6462 (2.1545) Prec@1 45.312 (51.914) Prec@5 67.969 (75.232)
Epoch: [57][1400/10010] Time 0.394 (0.401) Data 0.000 (0.004) Loss 2.0356 (2.1509) Prec@1 59.375 (51.970) Prec@5 79.688 (75.274)
Epoch: [57][1600/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 2.2340 (2.1502) Prec@1 44.531 (51.996) Prec@5 74.219 (75.251)
Epoch: [57][1800/10010] Time 0.402 (0.400) Data 0.001 (0.003) Loss 2.1776 (2.1493) Prec@1 50.781 (52.063) Prec@5 74.219 (75.248)
Epoch: [57][2000/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 2.2478 (2.1479) Prec@1 53.125 (52.074) Prec@5 77.344 (75.268)
Epoch: [57][2200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.8468 (2.1493) Prec@1 59.375 (52.065) Prec@5 77.344 (75.260)
Epoch: [57][2400/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.0422 (2.1507) Prec@1 53.125 (52.044) Prec@5 76.562 (75.243)
Epoch: [57][2600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.9821 (2.1500) Prec@1 57.031 (52.060) Prec@5 78.125 (75.258)
Epoch: [57][2800/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 2.3452 (2.1500) Prec@1 52.344 (52.049) Prec@5 72.656 (75.264)
Epoch: [57][3000/10010] Time 0.403 (0.400) Data 0.001 (0.002) Loss 2.3193 (2.1504) Prec@1 48.438 (52.033) Prec@5 74.219 (75.256)
Epoch: [57][3200/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.7981 (2.1510) Prec@1 57.812 (52.030) Prec@5 81.250 (75.263)
Epoch: [57][3400/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.1538 (2.1512) Prec@1 52.344 (52.029) Prec@5 75.781 (75.275)
Epoch: [57][3600/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 2.3695 (2.1515) Prec@1 51.562 (51.995) Prec@5 67.969 (75.263)
Epoch: [57][3800/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.1556 (2.1531) Prec@1 53.906 (51.968) Prec@5 77.344 (75.238)
Epoch: [57][4000/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 1.9516 (2.1529) Prec@1 54.688 (51.975) Prec@5 76.562 (75.227)
Epoch: [57][4200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.1250 (2.1531) Prec@1 53.906 (51.971) Prec@5 73.438 (75.228)
Epoch: [57][4400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0378 (2.1538) Prec@1 52.344 (51.963) Prec@5 76.562 (75.214)
Epoch: [57][4600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2473 (2.1539) Prec@1 47.656 (51.972) Prec@5 71.875 (75.216)
Epoch: [57][4800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.3852 (2.1554) Prec@1 47.656 (51.929) Prec@5 70.312 (75.193)
Epoch: [57][5000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2439 (2.1560) Prec@1 53.906 (51.924) Prec@5 73.438 (75.186)
Epoch: [57][5200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.0722 (2.1554) Prec@1 53.125 (51.923) Prec@5 77.344 (75.198)
Epoch: [57][5400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.3014 (2.1558) Prec@1 50.000 (51.908) Prec@5 71.094 (75.176)
Epoch: [57][5600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.4014 (2.1557) Prec@1 44.531 (51.902) Prec@5 71.094 (75.173)
Epoch: [57][5800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.1989 (2.1558) Prec@1 51.562 (51.892) Prec@5 74.219 (75.172)
Epoch: [57][6000/10010] Time 0.392 (0.399) Data 0.001 (0.001) Loss 2.2820 (2.1565) Prec@1 55.469 (51.877) Prec@5 71.094 (75.170)
Epoch: [57][6200/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.3703 (2.1573) Prec@1 53.125 (51.864) Prec@5 71.094 (75.158)
Epoch: [57][6400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0032 (2.1573) Prec@1 57.031 (51.858) Prec@5 75.000 (75.156)
Epoch: [57][6600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.5819 (2.1583) Prec@1 46.094 (51.828) Prec@5 68.750 (75.152)
Epoch: [57][6800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.2209 (2.1579) Prec@1 46.875 (51.836) Prec@5 71.875 (75.157)
Epoch: [57][7000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0494 (2.1576) Prec@1 56.250 (51.839) Prec@5 75.000 (75.165)
Epoch: [57][7200/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 1.9942 (2.1576) Prec@1 57.812 (51.838) Prec@5 75.781 (75.164)
Epoch: [57][7400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.0003 (2.1581) Prec@1 59.375 (51.822) Prec@5 78.125 (75.158)
Epoch: [57][7600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.9724 (2.1586) Prec@1 53.906 (51.809) Prec@5 76.562 (75.146)
Epoch: [57][7800/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 2.0756 (2.1579) Prec@1 53.906 (51.821) Prec@5 74.219 (75.153)
Epoch: [57][8000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.4561 (2.1582) Prec@1 46.875 (51.816) Prec@5 70.312 (75.145)
Epoch: [57][8200/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.6991 (2.1580) Prec@1 59.375 (51.819) Prec@5 78.906 (75.148)
Epoch: [57][8400/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.6203 (2.1587) Prec@1 40.625 (51.803) Prec@5 67.188 (75.136)
Epoch: [57][8600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.8711 (2.1593) Prec@1 61.719 (51.794) Prec@5 78.125 (75.123)
Epoch: [57][8800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2351 (2.1598) Prec@1 49.219 (51.777) Prec@5 73.438 (75.118)
Epoch: [57][9000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1145 (2.1593) Prec@1 51.562 (51.785) Prec@5 72.656 (75.122)
Epoch: [57][9200/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.0490 (2.1601) Prec@1 48.438 (51.766) Prec@5 80.469 (75.110)
Epoch: [57][9400/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.9732 (2.1606) Prec@1 55.469 (51.755) Prec@5 78.125 (75.105)
Epoch: [57][9600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.5357 (2.1608) Prec@1 42.969 (51.748) Prec@5 68.750 (75.103)
Epoch: [57][9800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.3654 (2.1615) Prec@1 51.562 (51.736) Prec@5 72.656 (75.093)
Epoch: [57][10000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.2754 (2.1623) Prec@1 54.688 (51.724) Prec@5 71.094 (75.081)
Test: [0/391] Time 4.044 (4.044) Loss 0.9658 (0.9658) Prec@1 78.906 (78.906) Prec@5 92.188 (92.188)
Test: [200/391] Time 0.143 (0.248) Loss 2.0300 (1.5867) Prec@1 50.000 (60.654) Prec@5 80.469 (84.997)
* Prec@1 56.442 Prec@5 80.660 Loss@ 1.848
==>>[2018-06-23 05:54:52] [Epoch=058/150] [Need: 104:24:28] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=57.19/80.75, Error=42.81/19.25]
Epoch: [58][0/10010] Time 4.454 (4.454) Data 4.294 (4.294) Loss 2.3751 (2.3751) Prec@1 50.000 (50.000) Prec@5 71.875 (71.875)
Epoch: [58][200/10010] Time 0.401 (0.418) Data 0.000 (0.022) Loss 2.1427 (2.1298) Prec@1 53.125 (52.429) Prec@5 74.219 (75.937)
Epoch: [58][400/10010] Time 0.397 (0.408) Data 0.000 (0.011) Loss 2.2589 (2.1315) Prec@1 50.000 (52.451) Prec@5 77.344 (75.805)
Epoch: [58][600/10010] Time 0.395 (0.405) Data 0.000 (0.008) Loss 2.1264 (2.1274) Prec@1 55.469 (52.450) Prec@5 75.000 (75.758)
Epoch: [58][800/10010] Time 0.393 (0.403) Data 0.000 (0.006) Loss 1.9401 (2.1323) Prec@1 53.906 (52.395) Prec@5 76.562 (75.665)
Epoch: [58][1000/10010] Time 0.403 (0.402) Data 0.000 (0.005) Loss 2.3077 (2.1335) Prec@1 44.531 (52.284) Prec@5 71.094 (75.606)
Epoch: [58][1200/10010] Time 0.401 (0.402) Data 0.000 (0.004) Loss 2.2953 (2.1359) Prec@1 49.219 (52.245) Prec@5 72.656 (75.570)
Epoch: [58][1400/10010] Time 0.395 (0.401) Data 0.000 (0.004) Loss 2.1732 (2.1371) Prec@1 55.469 (52.247) Prec@5 75.000 (75.552)
Epoch: [58][1600/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.3642 (2.1383) Prec@1 44.531 (52.224) Prec@5 71.094 (75.524)
Epoch: [58][1800/10010] Time 0.394 (0.401) Data 0.000 (0.003) Loss 2.0674 (2.1417) Prec@1 53.125 (52.124) Prec@5 71.875 (75.463)
Epoch: [58][2000/10010] Time 0.392 (0.401) Data 0.000 (0.003) Loss 2.2382 (2.1417) Prec@1 55.469 (52.163) Prec@5 69.531 (75.451)
Epoch: [58][2200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.4012 (2.1417) Prec@1 46.094 (52.166) Prec@5 73.438 (75.436)
Epoch: [58][2400/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.0728 (2.1408) Prec@1 56.250 (52.163) Prec@5 75.781 (75.441)
Epoch: [58][2600/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.5131 (2.1443) Prec@1 44.531 (52.084) Prec@5 69.531 (75.382)
Epoch: [58][2800/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.0156 (2.1450) Prec@1 53.125 (52.082) Prec@5 76.562 (75.361)
Epoch: [58][3000/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.9504 (2.1448) Prec@1 57.812 (52.066) Prec@5 76.562 (75.356)
Epoch: [58][3200/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.0892 (2.1464) Prec@1 53.906 (52.035) Prec@5 78.125 (75.345)
Epoch: [58][3400/10010] Time 0.391 (0.400) Data 0.001 (0.002) Loss 2.1826 (2.1469) Prec@1 49.219 (52.033) Prec@5 75.000 (75.343)
Epoch: [58][3600/10010] Time 0.390 (0.400) Data 0.000 (0.002) Loss 2.4708 (2.1477) Prec@1 46.094 (52.011) Prec@5 70.312 (75.317)
Epoch: [58][3800/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 1.9088 (2.1479) Prec@1 59.375 (52.028) Prec@5 74.219 (75.314)
Epoch: [58][4000/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 2.3303 (2.1491) Prec@1 50.781 (52.006) Prec@5 69.531 (75.293)
Epoch: [58][4200/10010] Time 0.411 (0.400) Data 0.000 (0.001) Loss 2.4184 (2.1495) Prec@1 41.406 (51.991) Prec@5 68.750 (75.291)
Epoch: [58][4400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.2755 (2.1497) Prec@1 49.219 (51.971) Prec@5 70.312 (75.285)
Epoch: [58][4600/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 2.1968 (2.1497) Prec@1 50.000 (51.970) Prec@5 78.125 (75.278)
Epoch: [58][4800/10010] Time 0.409 (0.400) Data 0.000 (0.001) Loss 2.2195 (2.1509) Prec@1 50.781 (51.939) Prec@5 71.875 (75.254)
Epoch: [58][5000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.1254 (2.1515) Prec@1 42.969 (51.925) Prec@5 73.438 (75.237)
Epoch: [58][5200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.4314 (2.1527) Prec@1 46.875 (51.907) Prec@5 74.219 (75.215)
Epoch: [58][5400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2044 (2.1526) Prec@1 48.438 (51.918) Prec@5 75.000 (75.217)
Epoch: [58][5600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.9494 (2.1529) Prec@1 53.125 (51.916) Prec@5 75.781 (75.206)
Epoch: [58][5800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.5001 (2.1542) Prec@1 42.969 (51.906) Prec@5 70.312 (75.183)
Epoch: [58][6000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.8081 (2.1536) Prec@1 60.938 (51.927) Prec@5 84.375 (75.196)
Epoch: [58][6200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0963 (2.1544) Prec@1 53.906 (51.915) Prec@5 76.562 (75.186)
Epoch: [58][6400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.3508 (2.1553) Prec@1 50.000 (51.893) Prec@5 70.312 (75.176)
Epoch: [58][6600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1536 (2.1556) Prec@1 53.125 (51.868) Prec@5 72.656 (75.176)
Epoch: [58][6800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.3653 (2.1562) Prec@1 45.312 (51.850) Prec@5 72.656 (75.157)
Epoch: [58][7000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2169 (2.1569) Prec@1 46.094 (51.841) Prec@5 71.094 (75.140)
Epoch: [58][7200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.1444 (2.1573) Prec@1 50.000 (51.834) Prec@5 73.438 (75.143)
Epoch: [58][7400/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 2.1917 (2.1575) Prec@1 51.562 (51.822) Prec@5 72.656 (75.141)
Epoch: [58][7600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.9549 (2.1578) Prec@1 60.156 (51.825) Prec@5 78.906 (75.132)
Epoch: [58][7800/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.1983 (2.1585) Prec@1 53.125 (51.811) Prec@5 75.781 (75.126)
Epoch: [58][8000/10010] Time 0.390 (0.399) Data 0.001 (0.001) Loss 2.1677 (2.1589) Prec@1 52.344 (51.805) Prec@5 71.094 (75.120)
Epoch: [58][8200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2579 (2.1592) Prec@1 50.000 (51.804) Prec@5 75.000 (75.110)
Epoch: [58][8400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.0289 (2.1589) Prec@1 55.469 (51.816) Prec@5 73.438 (75.120)
Epoch: [58][8600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1595 (2.1592) Prec@1 53.906 (51.804) Prec@5 78.125 (75.118)
Epoch: [58][8800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8915 (2.1594) Prec@1 55.469 (51.796) Prec@5 76.562 (75.115)
Epoch: [58][9000/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.0608 (2.1594) Prec@1 50.781 (51.800) Prec@5 77.344 (75.114)
Epoch: [58][9200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.1156 (2.1596) Prec@1 51.562 (51.794) Prec@5 74.219 (75.120)
Epoch: [58][9400/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.0564 (2.1601) Prec@1 54.688 (51.791) Prec@5 76.562 (75.113)
Epoch: [58][9600/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 1.7603 (2.1606) Prec@1 57.812 (51.780) Prec@5 83.594 (75.107)
Epoch: [58][9800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.9951 (2.1608) Prec@1 52.344 (51.776) Prec@5 74.219 (75.105)
Epoch: [58][10000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0302 (2.1606) Prec@1 56.250 (51.778) Prec@5 78.125 (75.108)
Test: [0/391] Time 3.866 (3.866) Loss 0.7777 (0.7777) Prec@1 82.812 (82.812) Prec@5 92.969 (92.969)
Test: [200/391] Time 0.141 (0.251) Loss 2.2096 (1.6260) Prec@1 39.844 (60.203) Prec@5 75.781 (84.130)
* Prec@1 56.280 Prec@5 80.010 Loss@ 1.871
==>>[2018-06-23 07:03:01] [Epoch=059/150] [Need: 103:21:04] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=57.19/80.75, Error=42.81/19.25]
Epoch: [59][0/10010] Time 4.398 (4.398) Data 4.239 (4.239) Loss 1.8674 (1.8674) Prec@1 57.812 (57.812) Prec@5 78.125 (78.125)
Epoch: [59][200/10010] Time 0.390 (0.418) Data 0.000 (0.022) Loss 2.2473 (2.1333) Prec@1 53.125 (52.480) Prec@5 69.531 (75.346)
Epoch: [59][400/10010] Time 0.390 (0.408) Data 0.001 (0.011) Loss 1.9293 (2.1390) Prec@1 60.156 (52.239) Prec@5 77.344 (75.298)
Epoch: [59][600/10010] Time 0.400 (0.405) Data 0.000 (0.008) Loss 2.2169 (2.1339) Prec@1 47.656 (52.275) Prec@5 74.219 (75.452)
Epoch: [59][800/10010] Time 0.404 (0.404) Data 0.000 (0.006) Loss 1.7508 (2.1377) Prec@1 56.250 (52.275) Prec@5 78.125 (75.444)
Epoch: [59][1000/10010] Time 0.398 (0.403) Data 0.000 (0.005) Loss 2.1084 (2.1292) Prec@1 47.656 (52.327) Prec@5 78.125 (75.599)
Epoch: [59][1200/10010] Time 0.402 (0.402) Data 0.000 (0.004) Loss 2.4212 (2.1295) Prec@1 43.750 (52.218) Prec@5 75.000 (75.602)
Epoch: [59][1400/10010] Time 0.401 (0.402) Data 0.000 (0.003) Loss 2.2112 (2.1326) Prec@1 47.656 (52.185) Prec@5 75.781 (75.588)
Epoch: [59][1600/10010] Time 0.397 (0.401) Data 0.000 (0.003) Loss 1.9404 (2.1360) Prec@1 58.594 (52.174) Prec@5 76.562 (75.527)
Epoch: [59][1800/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 1.8505 (2.1376) Prec@1 58.594 (52.133) Prec@5 81.250 (75.468)
Epoch: [59][2000/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 1.8153 (2.1347) Prec@1 57.031 (52.191) Prec@5 82.031 (75.512)
Epoch: [59][2200/10010] Time 0.402 (0.400) Data 0.001 (0.002) Loss 1.8565 (2.1350) Prec@1 57.031 (52.181) Prec@5 79.688 (75.519)
Epoch: [59][2400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.0262 (2.1362) Prec@1 56.250 (52.141) Prec@5 78.125 (75.503)
Epoch: [59][2600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.9847 (2.1383) Prec@1 48.438 (52.126) Prec@5 74.219 (75.459)
Epoch: [59][2800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.3222 (2.1390) Prec@1 50.781 (52.116) Prec@5 71.094 (75.456)
Epoch: [59][3000/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 1.8449 (2.1404) Prec@1 58.594 (52.100) Prec@5 81.250 (75.436)
Epoch: [59][3200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.0166 (2.1415) Prec@1 53.125 (52.091) Prec@5 77.344 (75.420)
Epoch: [59][3400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.0780 (2.1407) Prec@1 53.906 (52.100) Prec@5 75.781 (75.420)
Epoch: [59][3600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.7913 (2.1420) Prec@1 60.156 (52.073) Prec@5 82.031 (75.399)
Epoch: [59][3800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.8850 (2.1441) Prec@1 52.344 (52.038) Prec@5 80.469 (75.377)
Epoch: [59][4000/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.1397 (2.1447) Prec@1 48.438 (52.031) Prec@5 74.219 (75.374)
Epoch: [59][4200/10010] Time 0.398 (0.400) Data 0.001 (0.001) Loss 1.9871 (2.1457) Prec@1 57.031 (52.019) Prec@5 78.906 (75.367)
Epoch: [59][4400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2618 (2.1460) Prec@1 49.219 (52.016) Prec@5 71.094 (75.358)
Epoch: [59][4600/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.8508 (2.1470) Prec@1 63.281 (51.993) Prec@5 80.469 (75.340)
Epoch: [59][4800/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 2.4887 (2.1470) Prec@1 47.656 (51.992) Prec@5 73.438 (75.333)
Epoch: [59][5000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.1918 (2.1478) Prec@1 50.000 (51.982) Prec@5 74.219 (75.317)
Epoch: [59][5200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.2414 (2.1474) Prec@1 48.438 (51.993) Prec@5 71.094 (75.320)
Epoch: [59][5400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.4182 (2.1492) Prec@1 49.219 (51.955) Prec@5 71.094 (75.290)
Epoch: [59][5600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1047 (2.1497) Prec@1 53.125 (51.943) Prec@5 76.562 (75.284)
Epoch: [59][5800/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.1524 (2.1507) Prec@1 53.906 (51.921) Prec@5 68.750 (75.262)
Epoch: [59][6000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.7244 (2.1518) Prec@1 56.250 (51.897) Prec@5 81.250 (75.252)
Epoch: [59][6200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1875 (2.1523) Prec@1 50.000 (51.882) Prec@5 78.125 (75.255)
Epoch: [59][6400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.0538 (2.1523) Prec@1 51.562 (51.869) Prec@5 78.125 (75.263)
Epoch: [59][6600/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 2.2292 (2.1533) Prec@1 50.000 (51.844) Prec@5 78.125 (75.255)
Epoch: [59][6800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.3655 (2.1537) Prec@1 45.312 (51.844) Prec@5 69.531 (75.245)
Epoch: [59][7000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.1203 (2.1536) Prec@1 55.469 (51.853) Prec@5 75.000 (75.232)
Epoch: [59][7200/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.1765 (2.1545) Prec@1 57.031 (51.840) Prec@5 73.438 (75.218)
Epoch: [59][7400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.9402 (2.1546) Prec@1 54.688 (51.833) Prec@5 78.906 (75.210)
Epoch: [59][7600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2549 (2.1550) Prec@1 51.562 (51.824) Prec@5 72.656 (75.202)
Epoch: [59][7800/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.7733 (2.1557) Prec@1 57.031 (51.808) Prec@5 82.031 (75.190)
Epoch: [59][8000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.3259 (2.1564) Prec@1 49.219 (51.802) Prec@5 72.656 (75.177)
Epoch: [59][8200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.9992 (2.1556) Prec@1 57.812 (51.809) Prec@5 75.781 (75.194)
Epoch: [59][8400/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.1756 (2.1557) Prec@1 53.125 (51.810) Prec@5 78.906 (75.190)
Epoch: [59][8600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2838 (2.1554) Prec@1 53.125 (51.816) Prec@5 75.000 (75.196)
Epoch: [59][8800/10010] Time 0.405 (0.399) Data 0.001 (0.001) Loss 1.9894 (2.1555) Prec@1 55.469 (51.816) Prec@5 76.562 (75.193)
Epoch: [59][9000/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.8828 (2.1559) Prec@1 48.438 (51.806) Prec@5 83.594 (75.187)
Epoch: [59][9200/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.8050 (2.1564) Prec@1 56.250 (51.799) Prec@5 82.031 (75.179)
Epoch: [59][9400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.0528 (2.1569) Prec@1 54.688 (51.794) Prec@5 74.219 (75.177)
Epoch: [59][9600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.4933 (2.1573) Prec@1 46.094 (51.790) Prec@5 69.531 (75.172)
Epoch: [59][9800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.8782 (2.1574) Prec@1 51.562 (51.780) Prec@5 82.812 (75.170)
Epoch: [59][10000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.1489 (2.1578) Prec@1 55.469 (51.764) Prec@5 74.219 (75.168)
Test: [0/391] Time 4.724 (4.724) Loss 0.8381 (0.8381) Prec@1 81.250 (81.250) Prec@5 91.406 (91.406)
Test: [200/391] Time 0.141 (0.244) Loss 1.7844 (1.5725) Prec@1 59.375 (61.458) Prec@5 81.250 (84.690)
* Prec@1 57.084 Prec@5 80.598 Loss@ 1.836
==>>[2018-06-23 08:11:09] [Epoch=060/150] [Need: 102:12:38] [learning_rate=0.010000] [Best : Accuracy(T1/T5)=57.19/80.75, Error=42.81/19.25]
Epoch: [60][0/10010] Time 5.021 (5.021) Data 4.861 (4.861) Loss 1.9157 (1.9157) Prec@1 57.031 (57.031) Prec@5 79.688 (79.688)
Epoch: [60][200/10010] Time 0.405 (0.422) Data 0.000 (0.026) Loss 2.0793 (2.0651) Prec@1 57.031 (54.015) Prec@5 77.344 (76.349)
Epoch: [60][400/10010] Time 0.396 (0.410) Data 0.000 (0.013) Loss 1.8099 (2.0162) Prec@1 60.156 (54.836) Prec@5 82.031 (77.250)
Epoch: [60][600/10010] Time 0.399 (0.407) Data 0.000 (0.009) Loss 2.0943 (1.9967) Prec@1 52.344 (55.319) Prec@5 76.562 (77.557)
Epoch: [60][800/10010] Time 0.402 (0.405) Data 0.001 (0.007) Loss 2.1377 (1.9846) Prec@1 49.219 (55.531) Prec@5 74.219 (77.700)
Epoch: [60][1000/10010] Time 0.402 (0.404) Data 0.000 (0.006) Loss 2.0494 (1.9758) Prec@1 58.594 (55.636) Prec@5 75.000 (77.852)
Epoch: [60][1200/10010] Time 0.402 (0.403) Data 0.000 (0.005) Loss 1.5596 (1.9694) Prec@1 65.625 (55.780) Prec@5 83.594 (77.945)
Epoch: [60][1400/10010] Time 0.401 (0.402) Data 0.000 (0.004) Loss 1.9802 (1.9612) Prec@1 58.594 (55.959) Prec@5 79.688 (78.021)
Epoch: [60][1600/10010] Time 0.392 (0.402) Data 0.000 (0.004) Loss 2.0036 (1.9554) Prec@1 58.594 (56.093) Prec@5 78.125 (78.116)
Epoch: [60][1800/10010] Time 0.401 (0.402) Data 0.000 (0.003) Loss 1.8424 (1.9497) Prec@1 59.375 (56.160) Prec@5 79.688 (78.200)
Epoch: [60][2000/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 1.4978 (1.9460) Prec@1 62.500 (56.260) Prec@5 84.375 (78.278)
Epoch: [60][2200/10010] Time 0.402 (0.401) Data 0.000 (0.003) Loss 2.0486 (1.9417) Prec@1 54.688 (56.341) Prec@5 77.344 (78.324)
Epoch: [60][2400/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 1.7184 (1.9389) Prec@1 66.406 (56.383) Prec@5 83.594 (78.367)
Epoch: [60][2600/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 1.5733 (1.9342) Prec@1 64.844 (56.489) Prec@5 82.031 (78.455)
Epoch: [60][2800/10010] Time 0.403 (0.401) Data 0.000 (0.002) Loss 1.6280 (1.9320) Prec@1 59.375 (56.532) Prec@5 80.469 (78.493)
Epoch: [60][3000/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 1.8132 (1.9302) Prec@1 59.375 (56.557) Prec@5 79.688 (78.531)
Epoch: [60][3200/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 1.7600 (1.9262) Prec@1 58.594 (56.629) Prec@5 80.469 (78.607)
Epoch: [60][3400/10010] Time 0.391 (0.401) Data 0.000 (0.002) Loss 1.9031 (1.9239) Prec@1 58.594 (56.688) Prec@5 78.906 (78.644)
Epoch: [60][3600/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.1428 (1.9216) Prec@1 52.344 (56.746) Prec@5 74.219 (78.680)
Epoch: [60][3800/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 1.8254 (1.9200) Prec@1 62.500 (56.780) Prec@5 81.250 (78.705)
Epoch: [60][4000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.0935 (1.9175) Prec@1 56.250 (56.827) Prec@5 74.219 (78.737)
Epoch: [60][4200/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 2.2567 (1.9161) Prec@1 49.219 (56.847) Prec@5 78.906 (78.759)
Epoch: [60][4400/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.8686 (1.9137) Prec@1 57.812 (56.898) Prec@5 79.688 (78.790)
Epoch: [60][4600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.8160 (1.9113) Prec@1 57.031 (56.949) Prec@5 77.344 (78.827)
Epoch: [60][4800/10010] Time 0.389 (0.400) Data 0.000 (0.002) Loss 1.9533 (1.9099) Prec@1 61.719 (56.978) Prec@5 78.125 (78.841)
Epoch: [60][5000/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.6600 (1.9082) Prec@1 56.250 (57.013) Prec@5 82.031 (78.859)
Epoch: [60][5200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.7209 (1.9060) Prec@1 65.625 (57.056) Prec@5 84.375 (78.897)
Epoch: [60][5400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.1622 (1.9049) Prec@1 53.906 (57.089) Prec@5 71.875 (78.910)
Epoch: [60][5600/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 2.0043 (1.9038) Prec@1 58.594 (57.097) Prec@5 79.688 (78.924)
Epoch: [60][5800/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.5732 (1.9021) Prec@1 62.500 (57.135) Prec@5 82.031 (78.953)
Epoch: [60][6000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.0590 (1.8996) Prec@1 57.812 (57.184) Prec@5 79.688 (78.999)
Epoch: [60][6200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.9750 (1.8983) Prec@1 57.031 (57.201) Prec@5 78.906 (79.017)
Epoch: [60][6400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.9444 (1.8966) Prec@1 56.250 (57.223) Prec@5 78.906 (79.041)
Epoch: [60][6600/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.8622 (1.8953) Prec@1 55.469 (57.247) Prec@5 79.688 (79.060)
Epoch: [60][6800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.0214 (1.8942) Prec@1 56.250 (57.275) Prec@5 78.906 (79.076)
Epoch: [60][7000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.9466 (1.8926) Prec@1 58.594 (57.297) Prec@5 81.250 (79.100)
Epoch: [60][7200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.7967 (1.8916) Prec@1 59.375 (57.323) Prec@5 79.688 (79.119)
Epoch: [60][7400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.8743 (1.8900) Prec@1 59.375 (57.349) Prec@5 81.250 (79.138)
Epoch: [60][7600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.1793 (1.8888) Prec@1 49.219 (57.367) Prec@5 75.781 (79.152)
Epoch: [60][7800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 2.1214 (1.8884) Prec@1 54.688 (57.375) Prec@5 72.656 (79.157)
Epoch: [60][8000/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 1.3824 (1.8872) Prec@1 67.188 (57.392) Prec@5 88.281 (79.171)
Epoch: [60][8200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.5222 (1.8860) Prec@1 65.625 (57.423) Prec@5 82.812 (79.190)
Epoch: [60][8400/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 2.0670 (1.8850) Prec@1 56.250 (57.446) Prec@5 78.906 (79.201)
Epoch: [60][8600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.9185 (1.8843) Prec@1 55.469 (57.461) Prec@5 79.688 (79.209)
Epoch: [60][8800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.6045 (1.8836) Prec@1 64.062 (57.483) Prec@5 83.594 (79.215)
Epoch: [60][9000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.6621 (1.8830) Prec@1 61.719 (57.490) Prec@5 85.938 (79.229)
Epoch: [60][9200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.1117 (1.8820) Prec@1 50.000 (57.512) Prec@5 74.219 (79.245)
Epoch: [60][9400/10010] Time 0.407 (0.400) Data 0.001 (0.001) Loss 1.8864 (1.8818) Prec@1 53.906 (57.518) Prec@5 78.906 (79.250)
Epoch: [60][9600/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 1.7699 (1.8808) Prec@1 50.781 (57.537) Prec@5 79.688 (79.266)
Epoch: [60][9800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.9082 (1.8799) Prec@1 57.812 (57.543) Prec@5 78.906 (79.280)
Epoch: [60][10000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.5650 (1.8791) Prec@1 61.719 (57.556) Prec@5 82.812 (79.292)
Test: [0/391] Time 4.817 (4.817) Loss 0.7668 (0.7668) Prec@1 84.375 (84.375) Prec@5 92.188 (92.188)
Test: [200/391] Time 0.138 (0.258) Loss 1.6491 (1.2748) Prec@1 58.594 (68.012) Prec@5 83.594 (88.697)
* Prec@1 63.734 Prec@5 85.108 Loss@ 1.512
==>>[2018-06-23 09:19:26] [Epoch=061/150] [Need: 101:17:51] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=63.73/85.11, Error=36.27/14.89]
Epoch: [61][0/10010] Time 3.804 (3.804) Data 3.623 (3.623) Loss 1.6449 (1.6449) Prec@1 63.281 (63.281) Prec@5 86.719 (86.719)
Epoch: [61][200/10010] Time 0.393 (0.416) Data 0.001 (0.021) Loss 1.7057 (1.8234) Prec@1 59.375 (58.897) Prec@5 82.031 (80.166)
Epoch: [61][400/10010] Time 0.403 (0.407) Data 0.000 (0.011) Loss 1.7028 (1.8252) Prec@1 62.500 (58.611) Prec@5 79.688 (79.986)
Epoch: [61][600/10010] Time 0.396 (0.405) Data 0.000 (0.007) Loss 1.8267 (1.8229) Prec@1 58.594 (58.754) Prec@5 82.031 (80.040)
Epoch: [61][800/10010] Time 0.400 (0.403) Data 0.000 (0.006) Loss 1.9891 (1.8223) Prec@1 54.688 (58.724) Prec@5 78.906 (80.088)
Epoch: [61][1000/10010] Time 0.395 (0.403) Data 0.001 (0.005) Loss 1.5924 (1.8277) Prec@1 64.844 (58.643) Prec@5 82.812 (80.024)
Epoch: [61][1200/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 1.6558 (1.8285) Prec@1 60.938 (58.689) Prec@5 85.156 (80.015)
Epoch: [61][1400/10010] Time 0.395 (0.402) Data 0.000 (0.003) Loss 2.0961 (1.8302) Prec@1 49.219 (58.638) Prec@5 75.781 (79.993)
Epoch: [61][1600/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 1.4900 (1.8282) Prec@1 60.938 (58.623) Prec@5 86.719 (80.011)
Epoch: [61][1800/10010] Time 0.404 (0.401) Data 0.000 (0.003) Loss 1.9043 (1.8276) Prec@1 60.938 (58.603) Prec@5 77.344 (79.995)
Epoch: [61][2000/10010] Time 0.394 (0.401) Data 0.001 (0.002) Loss 2.1063 (1.8281) Prec@1 56.250 (58.593) Prec@5 75.000 (80.001)
Epoch: [61][2200/10010] Time 0.404 (0.401) Data 0.000 (0.002) Loss 2.1797 (1.8264) Prec@1 53.125 (58.596) Prec@5 73.438 (80.046)
Epoch: [61][2400/10010] Time 0.409 (0.401) Data 0.000 (0.002) Loss 1.8271 (1.8258) Prec@1 53.906 (58.621) Prec@5 78.125 (80.056)
Epoch: [61][2600/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 1.8250 (1.8250) Prec@1 57.812 (58.634) Prec@5 79.688 (80.071)
Epoch: [61][2800/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 1.7007 (1.8230) Prec@1 62.500 (58.664) Prec@5 83.594 (80.087)
Epoch: [61][3000/10010] Time 0.394 (0.401) Data 0.000 (0.002) Loss 1.9543 (1.8222) Prec@1 57.812 (58.663) Prec@5 78.125 (80.073)
Epoch: [61][3200/10010] Time 0.391 (0.401) Data 0.001 (0.002) Loss 2.0765 (1.8210) Prec@1 57.031 (58.703) Prec@5 77.344 (80.096)
Epoch: [61][3400/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 1.7115 (1.8200) Prec@1 52.344 (58.713) Prec@5 83.594 (80.094)
Epoch: [61][3600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.6602 (1.8193) Prec@1 63.281 (58.724) Prec@5 85.156 (80.108)
Epoch: [61][3800/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.8438 (1.8181) Prec@1 57.031 (58.746) Prec@5 80.469 (80.143)
Epoch: [61][4000/10010] Time 0.413 (0.400) Data 0.000 (0.001) Loss 1.7426 (1.8183) Prec@1 57.031 (58.739) Prec@5 83.594 (80.154)
Epoch: [61][4200/10010] Time 0.400 (0.400) Data 0.001 (0.001) Loss 1.6950 (1.8177) Prec@1 61.719 (58.757) Prec@5 82.031 (80.163)
Epoch: [61][4400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.8624 (1.8166) Prec@1 55.469 (58.791) Prec@5 81.250 (80.183)
Epoch: [61][4600/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 1.8068 (1.8155) Prec@1 57.031 (58.817) Prec@5 81.250 (80.204)
Epoch: [61][4800/10010] Time 0.389 (0.400) Data 0.000 (0.001) Loss 1.7066 (1.8149) Prec@1 58.594 (58.841) Prec@5 81.250 (80.211)
Epoch: [61][5000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.2212 (1.8145) Prec@1 53.906 (58.836) Prec@5 75.781 (80.217)
Epoch: [61][5200/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.5777 (1.8150) Prec@1 63.281 (58.822) Prec@5 83.594 (80.207)
Epoch: [61][5400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.7491 (1.8146) Prec@1 57.812 (58.832) Prec@5 80.469 (80.215)
Epoch: [61][5600/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.7898 (1.8149) Prec@1 64.062 (58.831) Prec@5 79.688 (80.211)
Epoch: [61][5800/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.7674 (1.8151) Prec@1 57.031 (58.811) Prec@5 82.031 (80.215)
Epoch: [61][6000/10010] Time 0.409 (0.400) Data 0.000 (0.001) Loss 1.5729 (1.8138) Prec@1 59.375 (58.831) Prec@5 84.375 (80.237)
Epoch: [61][6200/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.8095 (1.8133) Prec@1 62.500 (58.846) Prec@5 80.469 (80.247)
Epoch: [61][6400/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 2.1718 (1.8136) Prec@1 52.344 (58.834) Prec@5 75.781 (80.239)
Epoch: [61][6600/10010] Time 0.409 (0.400) Data 0.000 (0.001) Loss 1.7549 (1.8136) Prec@1 53.125 (58.847) Prec@5 82.812 (80.235)
Epoch: [61][6800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.0030 (1.8137) Prec@1 51.562 (58.845) Prec@5 75.000 (80.239)
Epoch: [61][7000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.8441 (1.8137) Prec@1 57.812 (58.848) Prec@5 77.344 (80.234)
Epoch: [61][7200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.0114 (1.8137) Prec@1 56.250 (58.836) Prec@5 78.125 (80.241)
Epoch: [61][7400/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.7392 (1.8133) Prec@1 58.594 (58.859) Prec@5 80.469 (80.251)
Epoch: [61][7600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.7678 (1.8126) Prec@1 56.250 (58.873) Prec@5 78.906 (80.260)
Epoch: [61][7800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.2569 (1.8126) Prec@1 49.219 (58.868) Prec@5 73.438 (80.255)
Epoch: [61][8000/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.5682 (1.8131) Prec@1 60.938 (58.859) Prec@5 83.594 (80.244)
Epoch: [61][8200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.9871 (1.8128) Prec@1 59.375 (58.865) Prec@5 80.469 (80.248)
Epoch: [61][8400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.9273 (1.8124) Prec@1 59.375 (58.862) Prec@5 80.469 (80.252)
Epoch: [61][8600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.6319 (1.8114) Prec@1 57.812 (58.887) Prec@5 83.594 (80.270)
Epoch: [61][8800/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.9034 (1.8111) Prec@1 56.250 (58.893) Prec@5 76.562 (80.273)
Epoch: [61][9000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.7011 (1.8109) Prec@1 64.062 (58.899) Prec@5 81.250 (80.275)
Epoch: [61][9200/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.5297 (1.8109) Prec@1 65.625 (58.900) Prec@5 87.500 (80.280)
Epoch: [61][9400/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.9442 (1.8108) Prec@1 52.344 (58.905) Prec@5 75.781 (80.280)
Epoch: [61][9600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.0119 (1.8108) Prec@1 53.906 (58.900) Prec@5 76.562 (80.283)
Epoch: [61][9800/10010] Time 0.403 (0.400) Data 0.001 (0.001) Loss 1.6689 (1.8105) Prec@1 63.281 (58.904) Prec@5 80.469 (80.296)
Epoch: [61][10000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.0429 (1.8105) Prec@1 55.469 (58.899) Prec@5 73.438 (80.293)
Test: [0/391] Time 4.446 (4.446) Loss 0.6163 (0.6163) Prec@1 88.281 (88.281) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.180 (0.248) Loss 1.6547 (1.2526) Prec@1 60.156 (68.579) Prec@5 81.250 (89.028)
* Prec@1 64.284 Prec@5 85.496 Loss@ 1.490
==>>[2018-06-23 10:27:42] [Epoch=062/150] [Need: 100:06:32] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=64.28/85.50, Error=35.72/14.50]
Epoch: [62][0/10010] Time 4.179 (4.179) Data 4.016 (4.016) Loss 1.2061 (1.2061) Prec@1 72.656 (72.656) Prec@5 89.062 (89.062)
Epoch: [62][200/10010] Time 0.402 (0.417) Data 0.000 (0.021) Loss 2.1111 (1.7669) Prec@1 54.688 (60.113) Prec@5 73.438 (81.153)
Epoch: [62][400/10010] Time 0.392 (0.408) Data 0.000 (0.011) Loss 1.5010 (1.7723) Prec@1 64.844 (59.644) Prec@5 85.938 (80.934)
Epoch: [62][600/10010] Time 0.402 (0.405) Data 0.000 (0.007) Loss 2.1134 (1.7792) Prec@1 52.344 (59.456) Prec@5 77.344 (80.831)
Epoch: [62][800/10010] Time 0.406 (0.404) Data 0.000 (0.006) Loss 1.6247 (1.7806) Prec@1 63.281 (59.467) Prec@5 82.812 (80.716)
Epoch: [62][1000/10010] Time 0.403 (0.403) Data 0.000 (0.005) Loss 1.9473 (1.7827) Prec@1 59.375 (59.450) Prec@5 81.250 (80.705)
Epoch: [62][1200/10010] Time 0.401 (0.402) Data 0.000 (0.004) Loss 1.5246 (1.7837) Prec@1 63.281 (59.392) Prec@5 85.156 (80.694)
Epoch: [62][1400/10010] Time 0.407 (0.402) Data 0.000 (0.003) Loss 2.0512 (1.7814) Prec@1 57.031 (59.494) Prec@5 78.906 (80.731)
Epoch: [62][1600/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 2.1772 (1.7817) Prec@1 58.594 (59.519) Prec@5 75.781 (80.741)
Epoch: [62][1800/10010] Time 0.394 (0.401) Data 0.000 (0.003) Loss 2.0267 (1.7840) Prec@1 60.938 (59.477) Prec@5 77.344 (80.695)
Epoch: [62][2000/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.7463 (1.7833) Prec@1 60.938 (59.493) Prec@5 81.250 (80.705)
Epoch: [62][2200/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 2.2148 (1.7820) Prec@1 53.906 (59.481) Prec@5 74.219 (80.710)
Epoch: [62][2400/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 1.5293 (1.7819) Prec@1 60.938 (59.493) Prec@5 84.375 (80.725)
Epoch: [62][2600/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 1.7535 (1.7811) Prec@1 60.938 (59.522) Prec@5 81.250 (80.745)
Epoch: [62][2800/10010] Time 0.391 (0.401) Data 0.000 (0.002) Loss 1.7386 (1.7838) Prec@1 57.812 (59.478) Prec@5 79.688 (80.701)
Epoch: [62][3000/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 1.7984 (1.7831) Prec@1 60.156 (59.494) Prec@5 82.812 (80.698)
Epoch: [62][3200/10010] Time 0.396 (0.401) Data 0.001 (0.002) Loss 1.6628 (1.7822) Prec@1 57.031 (59.505) Prec@5 78.906 (80.690)
Epoch: [62][3400/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 1.9007 (1.7832) Prec@1 57.812 (59.494) Prec@5 78.125 (80.673)
Epoch: [62][3600/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.6565 (1.7839) Prec@1 63.281 (59.460) Prec@5 85.156 (80.665)
Epoch: [62][3800/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.5873 (1.7834) Prec@1 60.156 (59.480) Prec@5 84.375 (80.676)
Epoch: [62][4000/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 1.9451 (1.7830) Prec@1 56.250 (59.466) Prec@5 78.125 (80.678)
Epoch: [62][4200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.5189 (1.7831) Prec@1 62.500 (59.472) Prec@5 82.812 (80.666)
Epoch: [62][4400/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.1314 (1.7833) Prec@1 51.562 (59.474) Prec@5 73.438 (80.665)
Epoch: [62][4600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.7835 (1.7830) Prec@1 58.594 (59.498) Prec@5 82.031 (80.665)
Epoch: [62][4800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.7643 (1.7836) Prec@1 57.031 (59.501) Prec@5 80.469 (80.654)
Epoch: [62][5000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.6686 (1.7844) Prec@1 63.281 (59.489) Prec@5 83.594 (80.647)
Epoch: [62][5200/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.7413 (1.7844) Prec@1 57.031 (59.499) Prec@5 81.250 (80.660)
Epoch: [62][5400/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.5405 (1.7843) Prec@1 67.969 (59.494) Prec@5 81.250 (80.669)
Epoch: [62][5600/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 2.0021 (1.7839) Prec@1 56.250 (59.509) Prec@5 75.000 (80.667)
Epoch: [62][5800/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 1.6462 (1.7842) Prec@1 61.719 (59.503) Prec@5 83.594 (80.668)
Epoch: [62][6000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.8234 (1.7847) Prec@1 60.156 (59.492) Prec@5 78.125 (80.653)
Epoch: [62][6200/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 1.5421 (1.7841) Prec@1 67.188 (59.499) Prec@5 82.812 (80.663)
Epoch: [62][6400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.9214 (1.7842) Prec@1 61.719 (59.496) Prec@5 77.344 (80.659)
Epoch: [62][6600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.8246 (1.7840) Prec@1 53.125 (59.506) Prec@5 79.688 (80.664)
Epoch: [62][6800/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 1.6538 (1.7841) Prec@1 60.938 (59.489) Prec@5 82.812 (80.660)
Epoch: [62][7000/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.7216 (1.7840) Prec@1 59.375 (59.481) Prec@5 80.469 (80.656)
Epoch: [62][7200/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.7316 (1.7838) Prec@1 61.719 (59.481) Prec@5 83.594 (80.658)
Epoch: [62][7400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.7955 (1.7834) Prec@1 60.156 (59.479) Prec@5 81.250 (80.660)
Epoch: [62][7600/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.7937 (1.7831) Prec@1 57.812 (59.488) Prec@5 77.344 (80.665)
Epoch: [62][7800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.8106 (1.7827) Prec@1 58.594 (59.494) Prec@5 80.469 (80.673)
Epoch: [62][8000/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.9375 (1.7828) Prec@1 60.156 (59.491) Prec@5 75.781 (80.665)
Epoch: [62][8200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.8387 (1.7823) Prec@1 54.688 (59.494) Prec@5 78.125 (80.671)
Epoch: [62][8400/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.7188 (1.7822) Prec@1 57.812 (59.497) Prec@5 81.250 (80.668)
Epoch: [62][8600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.7918 (1.7820) Prec@1 55.469 (59.498) Prec@5 78.125 (80.669)
Epoch: [62][8800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.8239 (1.7820) Prec@1 58.594 (59.503) Prec@5 78.125 (80.668)
Epoch: [62][9000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.9880 (1.7819) Prec@1 60.156 (59.505) Prec@5 79.688 (80.672)
Epoch: [62][9200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.8766 (1.7816) Prec@1 54.688 (59.508) Prec@5 81.250 (80.677)
Epoch: [62][9400/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 2.2610 (1.7814) Prec@1 52.344 (59.514) Prec@5 76.562 (80.680)
Epoch: [62][9600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.5400 (1.7809) Prec@1 60.938 (59.522) Prec@5 85.156 (80.691)
Epoch: [62][9800/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 2.0179 (1.7809) Prec@1 57.812 (59.520) Prec@5 76.562 (80.694)
Epoch: [62][10000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.5325 (1.7811) Prec@1 63.281 (59.511) Prec@5 83.594 (80.695)
Test: [0/391] Time 4.279 (4.279) Loss 0.6637 (0.6637) Prec@1 85.938 (85.938) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.156 (0.250) Loss 1.7109 (1.2447) Prec@1 56.250 (68.832) Prec@5 82.812 (89.070)
* Prec@1 64.508 Prec@5 85.648 Loss@ 1.475
==>>[2018-06-23 11:35:57] [Epoch=063/150] [Need: 98:58:38] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=64.51/85.65, Error=35.49/14.35]
Epoch: [63][0/10010] Time 4.591 (4.591) Data 4.427 (4.427) Loss 1.9824 (1.9824) Prec@1 54.688 (54.688) Prec@5 75.781 (75.781)
Epoch: [63][200/10010] Time 0.403 (0.421) Data 0.000 (0.026) Loss 1.9650 (1.7391) Prec@1 57.812 (60.191) Prec@5 76.562 (81.079)
Epoch: [63][400/10010] Time 0.397 (0.410) Data 0.000 (0.013) Loss 1.3519 (1.7516) Prec@1 69.531 (60.104) Prec@5 86.719 (81.043)
Epoch: [63][600/10010] Time 0.400 (0.406) Data 0.000 (0.009) Loss 2.1406 (1.7559) Prec@1 53.906 (59.953) Prec@5 74.219 (81.028)
Epoch: [63][800/10010] Time 0.400 (0.404) Data 0.000 (0.007) Loss 1.8344 (1.7585) Prec@1 57.812 (59.830) Prec@5 78.906 (81.022)
Epoch: [63][1000/10010] Time 0.402 (0.403) Data 0.000 (0.005) Loss 1.3381 (1.7600) Prec@1 66.406 (59.826) Prec@5 87.500 (81.033)
Epoch: [63][1200/10010] Time 0.404 (0.403) Data 0.000 (0.005) Loss 1.6120 (1.7602) Prec@1 61.719 (59.826) Prec@5 82.812 (81.025)
Epoch: [63][1400/10010] Time 0.398 (0.402) Data 0.000 (0.004) Loss 1.6495 (1.7608) Prec@1 65.625 (59.828) Prec@5 82.812 (80.987)
Epoch: [63][1600/10010] Time 0.395 (0.402) Data 0.000 (0.004) Loss 1.6224 (1.7609) Prec@1 62.500 (59.839) Prec@5 80.469 (80.980)
Epoch: [63][1800/10010] Time 0.391 (0.402) Data 0.001 (0.003) Loss 1.5832 (1.7620) Prec@1 62.500 (59.794) Prec@5 85.156 (80.980)
Epoch: [63][2000/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 1.5090 (1.7629) Prec@1 59.375 (59.776) Prec@5 85.938 (80.964)
Epoch: [63][2200/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.6140 (1.7647) Prec@1 63.281 (59.753) Prec@5 83.594 (80.936)
Epoch: [63][2400/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.6459 (1.7647) Prec@1 63.281 (59.767) Prec@5 81.250 (80.925)
Epoch: [63][2600/10010] Time 0.395 (0.401) Data 0.001 (0.002) Loss 1.9935 (1.7634) Prec@1 57.031 (59.768) Prec@5 79.688 (80.940)
Epoch: [63][2800/10010] Time 0.400 (0.401) Data 0.001 (0.002) Loss 1.6388 (1.7641) Prec@1 61.719 (59.760) Prec@5 78.906 (80.930)
Epoch: [63][3000/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 1.8405 (1.7641) Prec@1 58.594 (59.754) Prec@5 83.594 (80.935)
Epoch: [63][3200/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 1.4965 (1.7644) Prec@1 60.156 (59.768) Prec@5 88.281 (80.929)
Epoch: [63][3400/10010] Time 0.397 (0.401) Data 0.000 (0.002) Loss 1.4342 (1.7642) Prec@1 67.969 (59.774) Prec@5 84.375 (80.925)
Epoch: [63][3600/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.8426 (1.7643) Prec@1 61.719 (59.776) Prec@5 82.031 (80.914)
Epoch: [63][3800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.2080 (1.7638) Prec@1 49.219 (59.779) Prec@5 73.438 (80.926)
Epoch: [63][4000/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.6020 (1.7634) Prec@1 61.719 (59.793) Prec@5 83.594 (80.925)
Epoch: [63][4200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.4889 (1.7621) Prec@1 64.844 (59.822) Prec@5 85.156 (80.934)
Epoch: [63][4400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.5340 (1.7619) Prec@1 58.594 (59.826) Prec@5 81.250 (80.937)
Epoch: [63][4600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.6819 (1.7623) Prec@1 60.938 (59.827) Prec@5 81.250 (80.929)
Epoch: [63][4800/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 1.6352 (1.7620) Prec@1 63.281 (59.825) Prec@5 85.938 (80.934)
Epoch: [63][5000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.8544 (1.7623) Prec@1 62.500 (59.839) Prec@5 77.344 (80.932)
Epoch: [63][5200/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 2.0572 (1.7629) Prec@1 54.688 (59.831) Prec@5 76.562 (80.922)
Epoch: [63][5400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.3993 (1.7632) Prec@1 70.312 (59.813) Prec@5 86.719 (80.917)
Epoch: [63][5600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.5731 (1.7630) Prec@1 65.625 (59.816) Prec@5 84.375 (80.918)
Epoch: [63][5800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.7377 (1.7630) Prec@1 64.062 (59.812) Prec@5 84.375 (80.918)
Epoch: [63][6000/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.9422 (1.7628) Prec@1 49.219 (59.821) Prec@5 78.125 (80.922)
Epoch: [63][6200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.0594 (1.7631) Prec@1 56.250 (59.817) Prec@5 75.781 (80.926)
Epoch: [63][6400/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.5065 (1.7633) Prec@1 59.375 (59.821) Prec@5 86.719 (80.919)
Epoch: [63][6600/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.7494 (1.7630) Prec@1 57.812 (59.832) Prec@5 82.031 (80.930)
Epoch: [63][6800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 2.0654 (1.7631) Prec@1 57.812 (59.822) Prec@5 79.688 (80.932)
Epoch: [63][7000/10010] Time 0.400 (0.400) Data 0.001 (0.001) Loss 1.6882 (1.7627) Prec@1 57.031 (59.831) Prec@5 84.375 (80.937)
Epoch: [63][7200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.8988 (1.7630) Prec@1 53.906 (59.820) Prec@5 78.906 (80.931)
Epoch: [63][7400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.2979 (1.7630) Prec@1 69.531 (59.815) Prec@5 85.938 (80.927)
Epoch: [63][7600/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.8112 (1.7627) Prec@1 64.844 (59.826) Prec@5 82.031 (80.927)
Epoch: [63][7800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.4576 (1.7625) Prec@1 67.188 (59.822) Prec@5 86.719 (80.933)
Epoch: [63][8000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.5385 (1.7632) Prec@1 63.281 (59.816) Prec@5 82.812 (80.917)
Epoch: [63][8200/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 1.5111 (1.7630) Prec@1 61.719 (59.817) Prec@5 87.500 (80.920)
Epoch: [63][8400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.7790 (1.7626) Prec@1 57.031 (59.821) Prec@5 77.344 (80.921)
Epoch: [63][8600/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.6573 (1.7623) Prec@1 61.719 (59.820) Prec@5 83.594 (80.924)
Epoch: [63][8800/10010] Time 0.403 (0.400) Data 0.001 (0.001) Loss 1.6445 (1.7625) Prec@1 62.500 (59.821) Prec@5 82.812 (80.924)
Epoch: [63][9000/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 2.2187 (1.7627) Prec@1 59.375 (59.819) Prec@5 76.562 (80.919)
Epoch: [63][9200/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.5993 (1.7625) Prec@1 60.938 (59.818) Prec@5 84.375 (80.924)
Epoch: [63][9400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.6964 (1.7625) Prec@1 63.281 (59.812) Prec@5 82.031 (80.927)
Epoch: [63][9600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.8903 (1.7629) Prec@1 57.812 (59.809) Prec@5 76.562 (80.915)
Epoch: [63][9800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.4871 (1.7630) Prec@1 66.406 (59.807) Prec@5 83.594 (80.913)
Epoch: [63][10000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.9166 (1.7627) Prec@1 59.375 (59.818) Prec@5 77.344 (80.922)
Test: [0/391] Time 4.763 (4.763) Loss 0.6677 (0.6677) Prec@1 85.156 (85.156) Prec@5 93.750 (93.750)
Test: [200/391] Time 0.147 (0.243) Loss 1.6003 (1.2270) Prec@1 62.500 (69.333) Prec@5 83.594 (89.440)
* Prec@1 64.778 Prec@5 85.988 Loss@ 1.462
==>>[2018-06-23 12:44:12] [Epoch=064/150] [Need: 97:49:28] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=64.78/85.99, Error=35.22/14.01]
Epoch: [64][0/10010] Time 4.264 (4.264) Data 4.110 (4.110) Loss 1.6600 (1.6600) Prec@1 62.500 (62.500) Prec@5 85.938 (85.938)
Epoch: [64][200/10010] Time 0.401 (0.418) Data 0.000 (0.022) Loss 1.7526 (1.7300) Prec@1 57.812 (60.319) Prec@5 82.031 (81.580)
Epoch: [64][400/10010] Time 0.405 (0.409) Data 0.000 (0.011) Loss 1.6890 (1.7279) Prec@1 56.250 (60.363) Prec@5 78.906 (81.595)
Epoch: [64][600/10010] Time 0.401 (0.405) Data 0.000 (0.008) Loss 1.5975 (1.7313) Prec@1 65.625 (60.471) Prec@5 84.375 (81.442)
Epoch: [64][800/10010] Time 0.406 (0.404) Data 0.001 (0.006) Loss 1.6486 (1.7284) Prec@1 62.500 (60.500) Prec@5 83.594 (81.490)
Epoch: [64][1000/10010] Time 0.398 (0.403) Data 0.000 (0.005) Loss 1.8473 (1.7331) Prec@1 53.906 (60.414) Prec@5 78.906 (81.379)
Epoch: [64][1200/10010] Time 0.398 (0.402) Data 0.000 (0.004) Loss 1.5834 (1.7350) Prec@1 60.938 (60.401) Prec@5 84.375 (81.355)
Epoch: [64][1400/10010] Time 0.395 (0.402) Data 0.000 (0.003) Loss 2.1902 (1.7344) Prec@1 50.000 (60.423) Prec@5 74.219 (81.359)
Epoch: [64][1600/10010] Time 0.403 (0.401) Data 0.000 (0.003) Loss 2.0307 (1.7343) Prec@1 56.250 (60.414) Prec@5 77.344 (81.355)
Epoch: [64][1800/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 1.8757 (1.7343) Prec@1 60.156 (60.354) Prec@5 80.469 (81.348)
Epoch: [64][2000/10010] Time 0.405 (0.401) Data 0.000 (0.003) Loss 1.8172 (1.7352) Prec@1 59.375 (60.333) Prec@5 82.031 (81.327)
Epoch: [64][2200/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 1.6174 (1.7358) Prec@1 63.281 (60.329) Prec@5 83.594 (81.317)
Epoch: [64][2400/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 1.7981 (1.7370) Prec@1 57.031 (60.272) Prec@5 80.469 (81.331)
Epoch: [64][2600/10010] Time 0.405 (0.401) Data 0.000 (0.002) Loss 1.7052 (1.7372) Prec@1 59.375 (60.263) Prec@5 79.688 (81.328)
Epoch: [64][2800/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 1.7976 (1.7382) Prec@1 55.469 (60.227) Prec@5 80.469 (81.297)
Epoch: [64][3000/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 1.7868 (1.7387) Prec@1 62.500 (60.221) Prec@5 83.594 (81.293)
Epoch: [64][3200/10010] Time 0.397 (0.401) Data 0.000 (0.002) Loss 1.7040 (1.7404) Prec@1 60.156 (60.199) Prec@5 83.594 (81.274)
Epoch: [64][3400/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 2.0220 (1.7414) Prec@1 60.938 (60.205) Prec@5 76.562 (81.253)
Epoch: [64][3600/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.7139 (1.7421) Prec@1 64.062 (60.204) Prec@5 80.469 (81.246)
Epoch: [64][3800/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 1.8302 (1.7430) Prec@1 57.812 (60.197) Prec@5 80.469 (81.228)
Epoch: [64][4000/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 1.8761 (1.7432) Prec@1 62.500 (60.198) Prec@5 78.125 (81.238)
Epoch: [64][4200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.7440 (1.7434) Prec@1 62.500 (60.193) Prec@5 78.125 (81.233)
Epoch: [64][4400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.8359 (1.7445) Prec@1 57.812 (60.187) Prec@5 80.469 (81.210)
Epoch: [64][4600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.8014 (1.7449) Prec@1 60.156 (60.171) Prec@5 81.250 (81.206)
Epoch: [64][4800/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 2.0544 (1.7459) Prec@1 54.688 (60.166) Prec@5 76.562 (81.189)
Epoch: [64][5000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.8569 (1.7460) Prec@1 53.906 (60.164) Prec@5 82.031 (81.178)
Epoch: [64][5200/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.3820 (1.7467) Prec@1 68.750 (60.148) Prec@5 85.156 (81.182)
Epoch: [64][5400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.7907 (1.7468) Prec@1 59.375 (60.141) Prec@5 83.594 (81.177)
Epoch: [64][5600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.8811 (1.7472) Prec@1 60.938 (60.129) Prec@5 78.906 (81.174)
Epoch: [64][5800/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.6711 (1.7469) Prec@1 63.281 (60.137) Prec@5 81.250 (81.180)
Epoch: [64][6000/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.7964 (1.7472) Prec@1 58.594 (60.132) Prec@5 82.812 (81.173)
Epoch: [64][6200/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.7590 (1.7476) Prec@1 61.719 (60.132) Prec@5 82.031 (81.173)
Epoch: [64][6400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.9170 (1.7480) Prec@1 57.812 (60.123) Prec@5 76.562 (81.168)
Epoch: [64][6600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.6261 (1.7486) Prec@1 59.375 (60.107) Prec@5 85.938 (81.156)
Epoch: [64][6800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.8919 (1.7487) Prec@1 58.594 (60.105) Prec@5 80.469 (81.155)
Epoch: [64][7000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.7030 (1.7489) Prec@1 65.625 (60.088) Prec@5 78.125 (81.152)
Epoch: [64][7200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.8572 (1.7488) Prec@1 59.375 (60.081) Prec@5 81.250 (81.149)
Epoch: [64][7400/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 2.0737 (1.7494) Prec@1 52.344 (60.074) Prec@5 73.438 (81.131)
Epoch: [64][7600/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.6388 (1.7494) Prec@1 61.719 (60.082) Prec@5 82.812 (81.131)
Epoch: [64][7800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 2.0201 (1.7497) Prec@1 53.125 (60.082) Prec@5 75.781 (81.125)
Epoch: [64][8000/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 1.6951 (1.7494) Prec@1 63.281 (60.085) Prec@5 83.594 (81.133)
Epoch: [64][8200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.4472 (1.7492) Prec@1 66.406 (60.087) Prec@5 86.719 (81.137)
Epoch: [64][8400/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 2.0061 (1.7490) Prec@1 57.812 (60.088) Prec@5 79.688 (81.144)
Epoch: [64][8600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.5464 (1.7485) Prec@1 64.062 (60.095) Prec@5 85.156 (81.152)
Epoch: [64][8800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.8605 (1.7482) Prec@1 61.719 (60.090) Prec@5 78.125 (81.162)
Epoch: [64][9000/10010] Time 0.416 (0.400) Data 0.000 (0.001) Loss 1.9716 (1.7480) Prec@1 57.812 (60.094) Prec@5 78.125 (81.165)
Epoch: [64][9200/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 1.6938 (1.7479) Prec@1 63.281 (60.087) Prec@5 82.812 (81.164)
Epoch: [64][9400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.6191 (1.7476) Prec@1 59.375 (60.095) Prec@5 82.812 (81.171)
Epoch: [64][9600/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.5297 (1.7475) Prec@1 67.188 (60.101) Prec@5 81.250 (81.167)
Epoch: [64][9800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.5984 (1.7479) Prec@1 64.844 (60.092) Prec@5 82.031 (81.165)
Epoch: [64][10000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.8326 (1.7477) Prec@1 57.031 (60.099) Prec@5 81.250 (81.170)
Test: [0/391] Time 4.420 (4.420) Loss 0.7052 (0.7052) Prec@1 85.156 (85.156) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.148 (0.244) Loss 1.7804 (1.2249) Prec@1 55.469 (68.987) Prec@5 81.250 (89.533)
* Prec@1 64.780 Prec@5 86.030 Loss@ 1.453
==>>[2018-06-23 13:52:27] [Epoch=065/150] [Need: 96:41:10] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=64.78/86.03, Error=35.22/13.97]
Epoch: [65][0/10010] Time 4.283 (4.283) Data 4.125 (4.125) Loss 1.9494 (1.9494) Prec@1 53.906 (53.906) Prec@5 78.125 (78.125)
Epoch: [65][200/10010] Time 0.396 (0.418) Data 0.000 (0.023) Loss 1.5383 (1.7211) Prec@1 63.281 (60.685) Prec@5 84.375 (81.402)
Epoch: [65][400/10010] Time 0.407 (0.408) Data 0.000 (0.012) Loss 1.8034 (1.7252) Prec@1 57.812 (60.491) Prec@5 78.906 (81.447)
Epoch: [65][600/10010] Time 0.397 (0.405) Data 0.000 (0.008) Loss 1.7096 (1.7263) Prec@1 65.625 (60.549) Prec@5 82.812 (81.516)
Epoch: [65][800/10010] Time 0.392 (0.403) Data 0.000 (0.006) Loss 1.5595 (1.7282) Prec@1 64.844 (60.469) Prec@5 82.812 (81.450)
Epoch: [65][1000/10010] Time 0.400 (0.403) Data 0.000 (0.005) Loss 2.0197 (1.7305) Prec@1 50.781 (60.452) Prec@5 75.000 (81.426)
Epoch: [65][1200/10010] Time 0.405 (0.402) Data 0.000 (0.004) Loss 1.6012 (1.7291) Prec@1 63.281 (60.439) Prec@5 87.500 (81.449)
Epoch: [65][1400/10010] Time 0.397 (0.402) Data 0.001 (0.004) Loss 1.8546 (1.7328) Prec@1 59.375 (60.406) Prec@5 76.562 (81.380)
Epoch: [65][1600/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 1.5913 (1.7326) Prec@1 57.031 (60.397) Prec@5 82.031 (81.381)
Epoch: [65][1800/10010] Time 0.397 (0.401) Data 0.000 (0.003) Loss 1.6234 (1.7331) Prec@1 64.844 (60.386) Prec@5 82.812 (81.380)
Epoch: [65][2000/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.6855 (1.7321) Prec@1 64.062 (60.381) Prec@5 83.594 (81.408)
Epoch: [65][2200/10010] Time 0.404 (0.401) Data 0.000 (0.003) Loss 1.9712 (1.7318) Prec@1 59.375 (60.400) Prec@5 78.906 (81.418)
Epoch: [65][2400/10010] Time 0.387 (0.401) Data 0.000 (0.002) Loss 1.8970 (1.7336) Prec@1 59.375 (60.381) Prec@5 78.906 (81.394)
Epoch: [65][2600/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 1.8183 (1.7334) Prec@1 53.125 (60.393) Prec@5 80.469 (81.396)
Epoch: [65][2800/10010] Time 0.395 (0.401) Data 0.000 (0.002) Loss 1.9141 (1.7344) Prec@1 63.281 (60.384) Prec@5 78.906 (81.389)
Epoch: [65][3000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.3463 (1.7336) Prec@1 65.625 (60.402) Prec@5 88.281 (81.398)
Epoch: [65][3200/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 1.6290 (1.7353) Prec@1 59.375 (60.370) Prec@5 86.719 (81.360)
Epoch: [65][3400/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 1.7509 (1.7352) Prec@1 56.250 (60.356) Prec@5 83.594 (81.361)
Epoch: [65][3600/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 1.9488 (1.7351) Prec@1 55.469 (60.357) Prec@5 78.125 (81.354)
Epoch: [65][3800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.4857 (1.7342) Prec@1 66.406 (60.377) Prec@5 85.156 (81.379)
Epoch: [65][4000/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.6646 (1.7354) Prec@1 60.156 (60.343) Prec@5 80.469 (81.366)
Epoch: [65][4200/10010] Time 0.400 (0.400) Data 0.001 (0.002) Loss 1.5479 (1.7349) Prec@1 67.969 (60.351) Prec@5 83.594 (81.379)
Epoch: [65][4400/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.6525 (1.7347) Prec@1 62.500 (60.354) Prec@5 83.594 (81.395)
Epoch: [65][4600/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.9854 (1.7351) Prec@1 64.062 (60.339) Prec@5 79.688 (81.388)
Epoch: [65][4800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.5638 (1.7352) Prec@1 63.281 (60.345) Prec@5 82.812 (81.385)
Epoch: [65][5000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.9870 (1.7345) Prec@1 53.906 (60.344) Prec@5 75.781 (81.404)
Epoch: [65][5200/10010] Time 0.389 (0.400) Data 0.000 (0.001) Loss 2.0540 (1.7346) Prec@1 55.469 (60.352) Prec@5 78.125 (81.408)
Epoch: [65][5400/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.7184 (1.7349) Prec@1 56.250 (60.342) Prec@5 79.688 (81.400)
Epoch: [65][5600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.7636 (1.7343) Prec@1 57.812 (60.351) Prec@5 74.219 (81.410)
Epoch: [65][5800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.3248 (1.7348) Prec@1 69.531 (60.342) Prec@5 89.844 (81.407)
Epoch: [65][6000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.5341 (1.7343) Prec@1 63.281 (60.350) Prec@5 82.031 (81.413)
Epoch: [65][6200/10010] Time 0.416 (0.400) Data 0.000 (0.001) Loss 1.7967 (1.7350) Prec@1 58.594 (60.344) Prec@5 82.812 (81.401)
Epoch: [65][6400/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.6705 (1.7356) Prec@1 60.938 (60.329) Prec@5 83.594 (81.391)
Epoch: [65][6600/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.6500 (1.7362) Prec@1 59.375 (60.315) Prec@5 81.250 (81.377)
Epoch: [65][6800/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.5304 (1.7357) Prec@1 57.031 (60.328) Prec@5 84.375 (81.380)
Epoch: [65][7000/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 2.0649 (1.7353) Prec@1 60.156 (60.336) Prec@5 79.688 (81.388)
Epoch: [65][7200/10010] Time 0.389 (0.400) Data 0.000 (0.001) Loss 1.7946 (1.7358) Prec@1 53.125 (60.323) Prec@5 82.031 (81.384)
Epoch: [65][7400/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 1.5861 (1.7355) Prec@1 64.062 (60.324) Prec@5 84.375 (81.383)
Epoch: [65][7600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.9259 (1.7355) Prec@1 56.250 (60.320) Prec@5 78.125 (81.385)
Epoch: [65][7800/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 1.4875 (1.7346) Prec@1 71.094 (60.330) Prec@5 85.938 (81.404)
Epoch: [65][8000/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 1.6972 (1.7339) Prec@1 59.375 (60.337) Prec@5 82.031 (81.414)
Epoch: [65][8200/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.4057 (1.7342) Prec@1 64.844 (60.329) Prec@5 84.375 (81.407)
Epoch: [65][8400/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 1.8809 (1.7348) Prec@1 56.250 (60.324) Prec@5 78.906 (81.395)
Epoch: [65][8600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.0771 (1.7354) Prec@1 56.250 (60.313) Prec@5 77.344 (81.389)
Epoch: [65][8800/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 1.7578 (1.7358) Prec@1 58.594 (60.305) Prec@5 80.469 (81.382)
Epoch: [65][9000/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.6757 (1.7365) Prec@1 65.625 (60.289) Prec@5 81.250 (81.375)
Epoch: [65][9200/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.7317 (1.7365) Prec@1 60.938 (60.291) Prec@5 82.812 (81.372)
Epoch: [65][9400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.7046 (1.7364) Prec@1 64.844 (60.293) Prec@5 80.469 (81.373)
Epoch: [65][9600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.6417 (1.7367) Prec@1 58.594 (60.288) Prec@5 85.156 (81.367)
Epoch: [65][9800/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.9759 (1.7369) Prec@1 50.781 (60.282) Prec@5 78.906 (81.365)
Epoch: [65][10000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.6995 (1.7366) Prec@1 59.375 (60.288) Prec@5 85.156 (81.371)
Test: [0/391] Time 4.278 (4.278) Loss 0.6852 (0.6852) Prec@1 85.938 (85.938) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.144 (0.257) Loss 1.5723 (1.2212) Prec@1 60.938 (69.236) Prec@5 83.594 (89.587)
* Prec@1 65.036 Prec@5 86.224 Loss@ 1.447
==>>[2018-06-23 15:00:44] [Epoch=066/150] [Need: 95:35:20] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.04/86.22, Error=34.96/13.78]
Epoch: [66][0/10010] Time 4.446 (4.446) Data 4.241 (4.241) Loss 1.8416 (1.8416) Prec@1 56.250 (56.250) Prec@5 81.250 (81.250)
Epoch: [66][200/10010] Time 0.401 (0.419) Data 0.000 (0.025) Loss 1.4893 (1.7288) Prec@1 64.062 (60.362) Prec@5 85.938 (81.658)
Epoch: [66][400/10010] Time 0.400 (0.409) Data 0.000 (0.013) Loss 1.7119 (1.7155) Prec@1 64.062 (60.641) Prec@5 79.688 (81.706)
Epoch: [66][600/10010] Time 0.398 (0.405) Data 0.000 (0.009) Loss 1.9249 (1.7119) Prec@1 57.812 (60.753) Prec@5 77.344 (81.743)
Epoch: [66][800/10010] Time 0.406 (0.404) Data 0.000 (0.007) Loss 1.6065 (1.7101) Prec@1 61.719 (60.792) Prec@5 84.375 (81.748)
Epoch: [66][1000/10010] Time 0.402 (0.403) Data 0.000 (0.005) Loss 2.0778 (1.7142) Prec@1 55.469 (60.752) Prec@5 77.344 (81.675)
Epoch: [66][1200/10010] Time 0.402 (0.402) Data 0.000 (0.005) Loss 1.7404 (1.7150) Prec@1 58.594 (60.737) Prec@5 78.906 (81.654)
Epoch: [66][1400/10010] Time 0.392 (0.401) Data 0.000 (0.004) Loss 1.3411 (1.7149) Prec@1 68.750 (60.739) Prec@5 86.719 (81.651)
Epoch: [66][1600/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 1.7801 (1.7166) Prec@1 60.156 (60.737) Prec@5 82.031 (81.615)
Epoch: [66][1800/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 1.8161 (1.7168) Prec@1 58.594 (60.701) Prec@5 78.906 (81.612)
Epoch: [66][2000/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 1.4530 (1.7188) Prec@1 66.406 (60.672) Prec@5 88.281 (81.587)
Epoch: [66][2200/10010] Time 0.392 (0.400) Data 0.000 (0.003) Loss 2.0126 (1.7182) Prec@1 50.781 (60.672) Prec@5 76.562 (81.598)
Epoch: [66][2400/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.5981 (1.7193) Prec@1 65.625 (60.646) Prec@5 83.594 (81.585)
Epoch: [66][2600/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.5281 (1.7188) Prec@1 62.500 (60.645) Prec@5 84.375 (81.599)
Epoch: [66][2800/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.4804 (1.7187) Prec@1 65.625 (60.675) Prec@5 83.594 (81.598)
Epoch: [66][3000/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 1.7943 (1.7172) Prec@1 63.281 (60.706) Prec@5 79.688 (81.625)
Epoch: [66][3200/10010] Time 0.397 (0.400) Data 0.001 (0.002) Loss 1.7576 (1.7189) Prec@1 60.938 (60.685) Prec@5 78.906 (81.601)
Epoch: [66][3400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.9322 (1.7207) Prec@1 57.812 (60.681) Prec@5 73.438 (81.566)
Epoch: [66][3600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.4338 (1.7206) Prec@1 65.625 (60.684) Prec@5 85.156 (81.562)
Epoch: [66][3800/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 1.2364 (1.7206) Prec@1 67.969 (60.683) Prec@5 89.062 (81.572)
Epoch: [66][4000/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.7209 (1.7210) Prec@1 63.281 (60.657) Prec@5 79.688 (81.579)
Epoch: [66][4200/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 1.9863 (1.7221) Prec@1 55.469 (60.660) Prec@5 78.125 (81.557)
Epoch: [66][4400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.8587 (1.7213) Prec@1 59.375 (60.664) Prec@5 82.812 (81.576)
Epoch: [66][4600/10010] Time 0.403 (0.399) Data 0.000 (0.002) Loss 1.4865 (1.7216) Prec@1 69.531 (60.667) Prec@5 85.938 (81.564)
Epoch: [66][4800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.8237 (1.7224) Prec@1 64.062 (60.641) Prec@5 78.125 (81.539)
Epoch: [66][5000/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.6735 (1.7230) Prec@1 59.375 (60.638) Prec@5 84.375 (81.522)
Epoch: [66][5200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.5533 (1.7224) Prec@1 64.062 (60.644) Prec@5 83.594 (81.528)
Epoch: [66][5400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.6658 (1.7217) Prec@1 57.031 (60.648) Prec@5 84.375 (81.537)
Epoch: [66][5600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9564 (1.7219) Prec@1 53.906 (60.647) Prec@5 75.000 (81.523)
Epoch: [66][5800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.9925 (1.7221) Prec@1 55.469 (60.650) Prec@5 77.344 (81.513)
Epoch: [66][6000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.6915 (1.7225) Prec@1 60.156 (60.649) Prec@5 85.156 (81.512)
Epoch: [66][6200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.4349 (1.7225) Prec@1 64.844 (60.653) Prec@5 87.500 (81.512)
Epoch: [66][6400/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.8107 (1.7229) Prec@1 60.156 (60.648) Prec@5 78.125 (81.507)
Epoch: [66][6600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9988 (1.7236) Prec@1 55.469 (60.641) Prec@5 78.906 (81.496)
Epoch: [66][6800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.7092 (1.7239) Prec@1 60.156 (60.630) Prec@5 75.781 (81.500)
Epoch: [66][7000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.4770 (1.7239) Prec@1 58.594 (60.622) Prec@5 83.594 (81.497)
Epoch: [66][7200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.9448 (1.7240) Prec@1 60.156 (60.617) Prec@5 75.781 (81.495)
Epoch: [66][7400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.6055 (1.7237) Prec@1 65.625 (60.622) Prec@5 82.031 (81.496)
Epoch: [66][7600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.8133 (1.7237) Prec@1 60.156 (60.618) Prec@5 83.594 (81.494)
Epoch: [66][7800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.3987 (1.7241) Prec@1 68.750 (60.621) Prec@5 85.156 (81.486)
Epoch: [66][8000/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.7821 (1.7249) Prec@1 57.031 (60.606) Prec@5 81.250 (81.477)
Epoch: [66][8200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.5228 (1.7250) Prec@1 67.969 (60.606) Prec@5 84.375 (81.483)
Epoch: [66][8400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.5198 (1.7252) Prec@1 59.375 (60.606) Prec@5 85.938 (81.481)
Epoch: [66][8600/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 1.6445 (1.7252) Prec@1 60.938 (60.598) Prec@5 82.031 (81.482)
Epoch: [66][8800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.9831 (1.7248) Prec@1 57.031 (60.598) Prec@5 78.125 (81.490)
Epoch: [66][9000/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 1.8585 (1.7245) Prec@1 60.156 (60.600) Prec@5 82.812 (81.490)
Epoch: [66][9200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.6448 (1.7250) Prec@1 58.594 (60.592) Prec@5 78.906 (81.485)
Epoch: [66][9400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.7637 (1.7251) Prec@1 59.375 (60.590) Prec@5 78.906 (81.487)
Epoch: [66][9600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.0506 (1.7253) Prec@1 53.125 (60.581) Prec@5 76.562 (81.479)
Epoch: [66][9800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.8743 (1.7256) Prec@1 54.688 (60.573) Prec@5 76.562 (81.475)
Epoch: [66][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.9841 (1.7257) Prec@1 56.250 (60.575) Prec@5 78.125 (81.468)
Test: [0/391] Time 4.864 (4.864) Loss 0.6364 (0.6364) Prec@1 88.281 (88.281) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.173 (0.258) Loss 1.6649 (1.2160) Prec@1 57.031 (69.364) Prec@5 83.594 (89.583)
* Prec@1 65.158 Prec@5 86.122 Loss@ 1.441
==>>[2018-06-23 16:08:52] [Epoch=067/150] [Need: 94:15:27] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.16/86.22, Error=34.84/13.78]
Epoch: [67][0/10010] Time 4.163 (4.163) Data 3.997 (3.997) Loss 1.5183 (1.5183) Prec@1 62.500 (62.500) Prec@5 82.812 (82.812)
Epoch: [67][200/10010] Time 0.400 (0.417) Data 0.000 (0.022) Loss 1.5993 (1.7152) Prec@1 59.375 (60.584) Prec@5 82.812 (81.588)
Epoch: [67][400/10010] Time 0.397 (0.408) Data 0.000 (0.011) Loss 1.8141 (1.7118) Prec@1 56.250 (60.817) Prec@5 80.469 (81.745)
Epoch: [67][600/10010] Time 0.395 (0.405) Data 0.000 (0.008) Loss 1.6556 (1.7102) Prec@1 61.719 (60.728) Prec@5 81.250 (81.743)
Epoch: [67][800/10010] Time 0.399 (0.403) Data 0.000 (0.006) Loss 1.8284 (1.7143) Prec@1 64.062 (60.638) Prec@5 81.250 (81.752)
Epoch: [67][1000/10010] Time 0.404 (0.402) Data 0.000 (0.005) Loss 1.5335 (1.7114) Prec@1 60.156 (60.733) Prec@5 85.156 (81.714)
Epoch: [67][1200/10010] Time 0.396 (0.402) Data 0.000 (0.004) Loss 1.8284 (1.7131) Prec@1 54.688 (60.725) Prec@5 85.156 (81.753)
Epoch: [67][1400/10010] Time 0.396 (0.401) Data 0.000 (0.004) Loss 2.0327 (1.7145) Prec@1 57.812 (60.671) Prec@5 79.688 (81.743)
Epoch: [67][1600/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.8551 (1.7135) Prec@1 55.469 (60.697) Prec@5 81.250 (81.748)
Epoch: [67][1800/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 1.6995 (1.7128) Prec@1 58.594 (60.734) Prec@5 85.938 (81.740)
Epoch: [67][2000/10010] Time 0.401 (0.401) Data 0.000 (0.003) Loss 1.7067 (1.7145) Prec@1 59.375 (60.749) Prec@5 81.250 (81.705)
Epoch: [67][2200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.8052 (1.7151) Prec@1 61.719 (60.721) Prec@5 82.031 (81.697)
Epoch: [67][2400/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.8480 (1.7132) Prec@1 55.469 (60.740) Prec@5 78.906 (81.713)
Epoch: [67][2600/10010] Time 0.410 (0.400) Data 0.000 (0.002) Loss 1.5382 (1.7118) Prec@1 60.156 (60.770) Prec@5 83.594 (81.719)
Epoch: [67][2800/10010] Time 0.397 (0.400) Data 0.001 (0.002) Loss 1.8166 (1.7124) Prec@1 61.719 (60.766) Prec@5 80.469 (81.701)
Epoch: [67][3000/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 1.8367 (1.7126) Prec@1 57.812 (60.753) Prec@5 79.688 (81.695)
Epoch: [67][3200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.5226 (1.7123) Prec@1 64.062 (60.750) Prec@5 84.375 (81.701)
Epoch: [67][3400/10010] Time 0.391 (0.400) Data 0.000 (0.002) Loss 1.4935 (1.7122) Prec@1 65.625 (60.751) Prec@5 85.156 (81.698)
Epoch: [67][3600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.1086 (1.7122) Prec@1 57.031 (60.760) Prec@5 77.344 (81.690)
Epoch: [67][3800/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.7880 (1.7131) Prec@1 61.719 (60.767) Prec@5 78.125 (81.670)
Epoch: [67][4000/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 1.4735 (1.7137) Prec@1 66.406 (60.743) Prec@5 85.938 (81.659)
Epoch: [67][4200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.7441 (1.7130) Prec@1 59.375 (60.751) Prec@5 79.688 (81.671)
Epoch: [67][4400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.6321 (1.7125) Prec@1 60.156 (60.756) Prec@5 82.031 (81.674)
Epoch: [67][4600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.8804 (1.7132) Prec@1 56.250 (60.767) Prec@5 81.250 (81.666)
Epoch: [67][4800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.5657 (1.7131) Prec@1 64.062 (60.768) Prec@5 82.812 (81.669)
Epoch: [67][5000/10010] Time 0.410 (0.399) Data 0.000 (0.001) Loss 1.7845 (1.7142) Prec@1 59.375 (60.754) Prec@5 82.031 (81.653)
Epoch: [67][5200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6139 (1.7143) Prec@1 59.375 (60.747) Prec@5 82.812 (81.652)
Epoch: [67][5400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.5284 (1.7138) Prec@1 60.938 (60.752) Prec@5 84.375 (81.667)
Epoch: [67][5600/10010] Time 0.391 (0.399) Data 0.001 (0.001) Loss 1.5445 (1.7146) Prec@1 64.844 (60.733) Prec@5 83.594 (81.651)
Epoch: [67][5800/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 1.5179 (1.7147) Prec@1 64.062 (60.733) Prec@5 82.031 (81.657)
Epoch: [67][6000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.7229 (1.7151) Prec@1 58.594 (60.725) Prec@5 81.250 (81.641)
Epoch: [67][6200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.7664 (1.7149) Prec@1 58.594 (60.734) Prec@5 80.469 (81.647)
Epoch: [67][6400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.7313 (1.7156) Prec@1 59.375 (60.710) Prec@5 79.688 (81.637)
Epoch: [67][6600/10010] Time 0.388 (0.399) Data 0.000 (0.001) Loss 2.0975 (1.7158) Prec@1 52.344 (60.705) Prec@5 75.781 (81.633)
Epoch: [67][6800/10010] Time 0.430 (0.399) Data 0.000 (0.001) Loss 1.6295 (1.7155) Prec@1 65.625 (60.717) Prec@5 83.594 (81.640)
Epoch: [67][7000/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.5286 (1.7157) Prec@1 65.625 (60.723) Prec@5 82.812 (81.637)
Epoch: [67][7200/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 1.6969 (1.7163) Prec@1 65.625 (60.712) Prec@5 78.906 (81.630)
Epoch: [67][7400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.4450 (1.7162) Prec@1 66.406 (60.718) Prec@5 82.812 (81.624)
Epoch: [67][7600/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.0515 (1.7167) Prec@1 63.281 (60.703) Prec@5 78.125 (81.614)
Epoch: [67][7800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.5668 (1.7161) Prec@1 60.938 (60.713) Prec@5 86.719 (81.627)
Epoch: [67][8000/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.0659 (1.7159) Prec@1 55.469 (60.721) Prec@5 75.000 (81.634)
Epoch: [67][8200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.7236 (1.7160) Prec@1 60.938 (60.715) Prec@5 85.156 (81.635)
Epoch: [67][8400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.7762 (1.7156) Prec@1 62.500 (60.730) Prec@5 81.250 (81.642)
Epoch: [67][8600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.9778 (1.7154) Prec@1 52.344 (60.736) Prec@5 79.688 (81.640)
Epoch: [67][8800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.6767 (1.7157) Prec@1 64.062 (60.739) Prec@5 80.469 (81.636)
Epoch: [67][9000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5094 (1.7159) Prec@1 70.312 (60.742) Prec@5 84.375 (81.641)
Epoch: [67][9200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.7682 (1.7165) Prec@1 58.594 (60.731) Prec@5 79.688 (81.628)
Epoch: [67][9400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.4439 (1.7163) Prec@1 64.844 (60.737) Prec@5 85.156 (81.630)
Epoch: [67][9600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.8409 (1.7163) Prec@1 63.281 (60.727) Prec@5 82.031 (81.633)
Epoch: [67][9800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.8658 (1.7169) Prec@1 54.688 (60.713) Prec@5 80.469 (81.621)
Epoch: [67][10000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.4856 (1.7171) Prec@1 62.500 (60.710) Prec@5 89.062 (81.617)
Test: [0/391] Time 4.250 (4.250) Loss 0.7452 (0.7452) Prec@1 84.375 (84.375) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.178 (0.250) Loss 1.7936 (1.2024) Prec@1 56.250 (69.706) Prec@5 80.469 (89.712)
* Prec@1 65.308 Prec@5 86.304 Loss@ 1.436
==>>[2018-06-23 17:17:00] [Epoch=068/150] [Need: 93:06:29] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.31/86.30, Error=34.69/13.70]
Epoch: [68][0/10010] Time 3.918 (3.918) Data 3.738 (3.738) Loss 1.5212 (1.5212) Prec@1 62.500 (62.500) Prec@5 85.156 (85.156)
Epoch: [68][200/10010] Time 0.395 (0.416) Data 0.001 (0.022) Loss 1.4852 (1.7101) Prec@1 67.969 (60.887) Prec@5 80.469 (81.833)
Epoch: [68][400/10010] Time 0.392 (0.407) Data 0.001 (0.011) Loss 1.8644 (1.7007) Prec@1 60.156 (60.998) Prec@5 78.906 (81.899)
Epoch: [68][600/10010] Time 0.396 (0.404) Data 0.000 (0.008) Loss 1.5259 (1.6988) Prec@1 67.188 (61.079) Prec@5 84.375 (81.930)
Epoch: [68][800/10010] Time 0.399 (0.403) Data 0.000 (0.006) Loss 1.9846 (1.7020) Prec@1 53.125 (61.050) Prec@5 81.250 (81.851)
Epoch: [68][1000/10010] Time 0.397 (0.402) Data 0.000 (0.005) Loss 1.6224 (1.7013) Prec@1 66.406 (61.090) Prec@5 82.812 (81.865)
Epoch: [68][1200/10010] Time 0.400 (0.401) Data 0.000 (0.004) Loss 1.8294 (1.6992) Prec@1 60.938 (61.055) Prec@5 78.906 (81.887)
Epoch: [68][1400/10010] Time 0.400 (0.401) Data 0.000 (0.004) Loss 1.8898 (1.7003) Prec@1 59.375 (61.048) Prec@5 80.469 (81.867)
Epoch: [68][1600/10010] Time 0.391 (0.401) Data 0.001 (0.003) Loss 1.5084 (1.6999) Prec@1 62.500 (61.067) Prec@5 86.719 (81.877)
Epoch: [68][1800/10010] Time 0.399 (0.400) Data 0.000 (0.003) Loss 1.7617 (1.7010) Prec@1 54.688 (61.063) Prec@5 83.594 (81.844)
Epoch: [68][2000/10010] Time 0.396 (0.400) Data 0.000 (0.003) Loss 1.9002 (1.7006) Prec@1 55.469 (61.078) Prec@5 79.688 (81.871)
Epoch: [68][2200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.6973 (1.7009) Prec@1 58.594 (61.082) Prec@5 81.250 (81.867)
Epoch: [68][2400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.5188 (1.7022) Prec@1 66.406 (61.070) Prec@5 83.594 (81.855)
Epoch: [68][2600/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 1.4735 (1.7029) Prec@1 65.625 (61.043) Prec@5 84.375 (81.852)
Epoch: [68][2800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.9218 (1.7031) Prec@1 59.375 (61.066) Prec@5 78.906 (81.854)
Epoch: [68][3000/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.4774 (1.7026) Prec@1 64.844 (61.055) Prec@5 86.719 (81.856)
Epoch: [68][3200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.9849 (1.7024) Prec@1 56.250 (61.059) Prec@5 78.906 (81.862)
Epoch: [68][3400/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.0550 (1.7031) Prec@1 55.469 (61.047) Prec@5 76.562 (81.839)
Epoch: [68][3600/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 1.4821 (1.7035) Prec@1 67.188 (61.038) Prec@5 82.812 (81.824)
Epoch: [68][3800/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 1.5817 (1.7031) Prec@1 64.062 (61.044) Prec@5 82.031 (81.822)
Epoch: [68][4000/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 1.5437 (1.7032) Prec@1 62.500 (61.040) Prec@5 85.938 (81.818)
Epoch: [68][4200/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 1.6324 (1.7040) Prec@1 60.938 (61.030) Prec@5 81.250 (81.800)
Epoch: [68][4400/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 1.6124 (1.7042) Prec@1 62.500 (61.025) Prec@5 80.469 (81.797)
Epoch: [68][4600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.3435 (1.7040) Prec@1 70.312 (61.041) Prec@5 85.938 (81.807)
Epoch: [68][4800/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.7556 (1.7039) Prec@1 64.062 (61.042) Prec@5 80.469 (81.800)
Epoch: [68][5000/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.5631 (1.7039) Prec@1 62.500 (61.043) Prec@5 85.938 (81.811)
Epoch: [68][5200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6807 (1.7027) Prec@1 58.594 (61.057) Prec@5 81.250 (81.825)
Epoch: [68][5400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.5445 (1.7029) Prec@1 67.969 (61.049) Prec@5 82.031 (81.823)
Epoch: [68][5600/10010] Time 0.421 (0.399) Data 0.001 (0.001) Loss 2.2293 (1.7035) Prec@1 50.781 (61.019) Prec@5 75.000 (81.820)
Epoch: [68][5800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.3210 (1.7028) Prec@1 67.188 (61.028) Prec@5 87.500 (81.834)
Epoch: [68][6000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.9886 (1.7019) Prec@1 54.688 (61.054) Prec@5 78.125 (81.848)
Epoch: [68][6200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.4717 (1.7026) Prec@1 64.844 (61.043) Prec@5 85.938 (81.834)
Epoch: [68][6400/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 1.8062 (1.7026) Prec@1 59.375 (61.044) Prec@5 77.344 (81.829)
Epoch: [68][6600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9080 (1.7026) Prec@1 59.375 (61.038) Prec@5 76.562 (81.827)
Epoch: [68][6800/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 1.8995 (1.7027) Prec@1 64.062 (61.037) Prec@5 79.688 (81.827)
Epoch: [68][7000/10010] Time 0.410 (0.399) Data 0.000 (0.001) Loss 1.8245 (1.7033) Prec@1 57.812 (61.021) Prec@5 79.688 (81.818)
Epoch: [68][7200/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 1.3770 (1.7033) Prec@1 64.062 (61.016) Prec@5 85.156 (81.816)
Epoch: [68][7400/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.7361 (1.7033) Prec@1 62.500 (61.018) Prec@5 81.250 (81.817)
Epoch: [68][7600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.9511 (1.7032) Prec@1 53.125 (61.016) Prec@5 79.688 (81.822)
Epoch: [68][7800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.8837 (1.7035) Prec@1 60.156 (60.998) Prec@5 79.688 (81.815)
Epoch: [68][8000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.4810 (1.7040) Prec@1 63.281 (60.988) Prec@5 82.812 (81.802)
Epoch: [68][8200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.5379 (1.7045) Prec@1 66.406 (60.980) Prec@5 85.156 (81.801)
Epoch: [68][8400/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 1.7638 (1.7042) Prec@1 60.938 (60.977) Prec@5 78.906 (81.801)
Epoch: [68][8600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.6007 (1.7044) Prec@1 59.375 (60.969) Prec@5 83.594 (81.799)
Epoch: [68][8800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.6252 (1.7048) Prec@1 63.281 (60.961) Prec@5 82.031 (81.800)
Epoch: [68][9000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8069 (1.7049) Prec@1 55.469 (60.956) Prec@5 78.125 (81.794)
Epoch: [68][9200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2885 (1.7051) Prec@1 49.219 (60.952) Prec@5 73.438 (81.793)
Epoch: [68][9400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.4360 (1.7058) Prec@1 62.500 (60.938) Prec@5 86.719 (81.784)
Epoch: [68][9600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.5903 (1.7064) Prec@1 63.281 (60.922) Prec@5 85.156 (81.777)
Epoch: [68][9800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9554 (1.7064) Prec@1 53.125 (60.916) Prec@5 80.469 (81.777)
Epoch: [68][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5799 (1.7065) Prec@1 63.281 (60.911) Prec@5 83.594 (81.776)
Test: [0/391] Time 4.589 (4.589) Loss 0.6488 (0.6488) Prec@1 85.156 (85.156) Prec@5 96.875 (96.875)
Test: [200/391] Time 0.165 (0.250) Loss 1.6174 (1.2019) Prec@1 58.594 (69.854) Prec@5 84.375 (89.712)
* Prec@1 65.548 Prec@5 86.372 Loss@ 1.429
==>>[2018-06-23 18:25:07] [Epoch=069/150] [Need: 91:57:56] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.55/86.37, Error=34.45/13.63]
Epoch: [69][0/10010] Time 4.591 (4.591) Data 4.418 (4.418) Loss 1.8367 (1.8367) Prec@1 62.500 (62.500) Prec@5 80.469 (80.469)
Epoch: [69][200/10010] Time 0.401 (0.419) Data 0.000 (0.024) Loss 1.5955 (1.6798) Prec@1 64.844 (61.474) Prec@5 84.375 (81.969)
Epoch: [69][400/10010] Time 0.402 (0.409) Data 0.000 (0.012) Loss 1.7753 (1.6850) Prec@1 60.156 (61.280) Prec@5 79.688 (81.957)
Epoch: [69][600/10010] Time 0.403 (0.405) Data 0.000 (0.008) Loss 1.8496 (1.6954) Prec@1 57.031 (61.299) Prec@5 77.344 (81.780)
Epoch: [69][800/10010] Time 0.393 (0.404) Data 0.000 (0.006) Loss 1.7023 (1.6936) Prec@1 62.500 (61.252) Prec@5 78.125 (81.857)
Epoch: [69][1000/10010] Time 0.398 (0.403) Data 0.000 (0.005) Loss 1.6174 (1.6889) Prec@1 61.719 (61.240) Prec@5 82.812 (81.931)
Epoch: [69][1200/10010] Time 0.404 (0.402) Data 0.000 (0.004) Loss 1.7881 (1.6898) Prec@1 55.469 (61.213) Prec@5 80.469 (81.967)
Epoch: [69][1400/10010] Time 0.404 (0.401) Data 0.000 (0.004) Loss 1.6321 (1.6945) Prec@1 58.594 (61.142) Prec@5 80.469 (81.894)
Epoch: [69][1600/10010] Time 0.402 (0.401) Data 0.000 (0.003) Loss 1.5997 (1.6950) Prec@1 64.062 (61.102) Prec@5 83.594 (81.885)
Epoch: [69][1800/10010] Time 0.407 (0.401) Data 0.000 (0.003) Loss 1.7735 (1.6947) Prec@1 60.938 (61.056) Prec@5 80.469 (81.915)
Epoch: [69][2000/10010] Time 0.404 (0.400) Data 0.000 (0.003) Loss 1.7133 (1.6931) Prec@1 64.062 (61.096) Prec@5 81.250 (81.933)
Epoch: [69][2200/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 1.6648 (1.6937) Prec@1 62.500 (61.087) Prec@5 82.812 (81.945)
Epoch: [69][2400/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.4242 (1.6951) Prec@1 69.531 (61.073) Prec@5 84.375 (81.942)
Epoch: [69][2600/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.8853 (1.6966) Prec@1 60.156 (61.028) Prec@5 80.469 (81.910)
Epoch: [69][2800/10010] Time 0.395 (0.400) Data 0.001 (0.002) Loss 1.8727 (1.6965) Prec@1 57.031 (61.028) Prec@5 79.688 (81.903)
Epoch: [69][3000/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.5688 (1.6976) Prec@1 63.281 (61.021) Prec@5 85.156 (81.886)
Epoch: [69][3200/10010] Time 0.402 (0.400) Data 0.001 (0.002) Loss 1.4306 (1.6975) Prec@1 65.625 (61.042) Prec@5 89.062 (81.899)
Epoch: [69][3400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.6483 (1.6970) Prec@1 63.281 (61.047) Prec@5 82.031 (81.909)
Epoch: [69][3600/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.4878 (1.6978) Prec@1 64.062 (61.024) Prec@5 80.469 (81.884)
Epoch: [69][3800/10010] Time 0.395 (0.400) Data 0.001 (0.002) Loss 1.6708 (1.6977) Prec@1 60.938 (61.033) Prec@5 82.031 (81.894)
Epoch: [69][4000/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.6765 (1.6989) Prec@1 63.281 (61.020) Prec@5 84.375 (81.876)
Epoch: [69][4200/10010] Time 0.397 (0.400) Data 0.001 (0.002) Loss 2.0204 (1.6989) Prec@1 56.250 (61.023) Prec@5 79.688 (81.874)
Epoch: [69][4400/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 1.4969 (1.6997) Prec@1 67.188 (60.999) Prec@5 85.938 (81.873)
Epoch: [69][4600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.9518 (1.6995) Prec@1 57.031 (60.992) Prec@5 77.344 (81.879)
Epoch: [69][4800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8923 (1.6989) Prec@1 60.938 (61.005) Prec@5 80.469 (81.890)
Epoch: [69][5000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7167 (1.6989) Prec@1 60.156 (61.008) Prec@5 80.469 (81.890)
Epoch: [69][5200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.4801 (1.6980) Prec@1 64.062 (61.032) Prec@5 85.938 (81.899)
Epoch: [69][5400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.4305 (1.6981) Prec@1 67.188 (61.024) Prec@5 86.719 (81.890)
Epoch: [69][5600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9208 (1.6982) Prec@1 59.375 (61.028) Prec@5 77.344 (81.883)
Epoch: [69][5800/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.5352 (1.6977) Prec@1 66.406 (61.038) Prec@5 82.031 (81.889)
Epoch: [69][6000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.7630 (1.6979) Prec@1 61.719 (61.046) Prec@5 80.469 (81.884)
Epoch: [69][6200/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.7433 (1.6989) Prec@1 61.719 (61.037) Prec@5 78.906 (81.860)
Epoch: [69][6400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.7301 (1.6994) Prec@1 61.719 (61.031) Prec@5 82.031 (81.854)
Epoch: [69][6600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7539 (1.6990) Prec@1 60.938 (61.047) Prec@5 80.469 (81.851)
Epoch: [69][6800/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.8261 (1.6987) Prec@1 59.375 (61.052) Prec@5 81.250 (81.861)
Epoch: [69][7000/10010] Time 0.404 (0.399) Data 0.001 (0.001) Loss 1.5405 (1.6982) Prec@1 64.844 (61.056) Prec@5 80.469 (81.863)
Epoch: [69][7200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.9441 (1.6980) Prec@1 59.375 (61.055) Prec@5 78.125 (81.867)
Epoch: [69][7400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.6967 (1.6978) Prec@1 60.938 (61.059) Prec@5 78.906 (81.877)
Epoch: [69][7600/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 1.5238 (1.6981) Prec@1 63.281 (61.051) Prec@5 82.031 (81.870)
Epoch: [69][7800/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 1.6628 (1.6976) Prec@1 62.500 (61.057) Prec@5 81.250 (81.872)
Epoch: [69][8000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.5494 (1.6977) Prec@1 66.406 (61.052) Prec@5 85.156 (81.874)
Epoch: [69][8200/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 1.8465 (1.6972) Prec@1 60.156 (61.068) Prec@5 78.906 (81.884)
Epoch: [69][8400/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.3277 (1.6974) Prec@1 64.062 (61.059) Prec@5 86.719 (81.888)
Epoch: [69][8600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.5005 (1.6976) Prec@1 63.281 (61.053) Prec@5 86.719 (81.879)
Epoch: [69][8800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.9655 (1.6975) Prec@1 58.594 (61.046) Prec@5 78.906 (81.877)
Epoch: [69][9000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.4312 (1.6978) Prec@1 60.938 (61.041) Prec@5 85.938 (81.880)
Epoch: [69][9200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.6876 (1.6978) Prec@1 60.156 (61.046) Prec@5 81.250 (81.881)
Epoch: [69][9400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.8197 (1.6982) Prec@1 58.594 (61.043) Prec@5 79.688 (81.873)
Epoch: [69][9600/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 1.7215 (1.6987) Prec@1 58.594 (61.036) Prec@5 81.250 (81.868)
Epoch: [69][9800/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 1.7465 (1.6986) Prec@1 60.156 (61.040) Prec@5 82.031 (81.872)
Epoch: [69][10000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.4927 (1.6987) Prec@1 63.281 (61.034) Prec@5 84.375 (81.871)
Test: [0/391] Time 4.220 (4.220) Loss 0.5946 (0.5946) Prec@1 86.719 (86.719) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.137 (0.251) Loss 1.6431 (1.1963) Prec@1 59.375 (69.753) Prec@5 81.250 (89.797)
* Prec@1 65.342 Prec@5 86.334 Loss@ 1.429
==>>[2018-06-23 19:33:15] [Epoch=070/150] [Need: 90:50:34] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.55/86.37, Error=34.45/13.63]
Epoch: [70][0/10010] Time 4.159 (4.159) Data 3.990 (3.990) Loss 1.6664 (1.6664) Prec@1 61.719 (61.719) Prec@5 85.156 (85.156)
Epoch: [70][200/10010] Time 0.394 (0.417) Data 0.001 (0.021) Loss 1.5123 (1.6936) Prec@1 62.500 (60.879) Prec@5 82.031 (81.938)
Epoch: [70][400/10010] Time 0.406 (0.408) Data 0.000 (0.011) Loss 1.8707 (1.6844) Prec@1 56.250 (61.259) Prec@5 78.125 (82.051)
Epoch: [70][600/10010] Time 0.395 (0.405) Data 0.000 (0.007) Loss 2.0389 (1.6812) Prec@1 59.375 (61.441) Prec@5 76.562 (82.092)
Epoch: [70][800/10010] Time 0.405 (0.403) Data 0.000 (0.006) Loss 1.5211 (1.6807) Prec@1 61.719 (61.418) Prec@5 87.500 (82.134)
Epoch: [70][1000/10010] Time 0.409 (0.402) Data 0.000 (0.005) Loss 1.5847 (1.6831) Prec@1 64.062 (61.439) Prec@5 85.156 (82.121)
Epoch: [70][1200/10010] Time 0.403 (0.402) Data 0.000 (0.004) Loss 1.9347 (1.6838) Prec@1 57.812 (61.403) Prec@5 78.906 (82.096)
Epoch: [70][1400/10010] Time 0.394 (0.401) Data 0.000 (0.003) Loss 1.9770 (1.6857) Prec@1 54.688 (61.389) Prec@5 75.781 (82.056)
Epoch: [70][1600/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.0235 (1.6860) Prec@1 59.375 (61.355) Prec@5 78.125 (82.067)
Epoch: [70][1800/10010] Time 0.409 (0.401) Data 0.000 (0.003) Loss 1.7256 (1.6842) Prec@1 57.031 (61.349) Prec@5 80.469 (82.069)
Epoch: [70][2000/10010] Time 0.395 (0.400) Data 0.000 (0.003) Loss 1.6836 (1.6863) Prec@1 57.031 (61.288) Prec@5 78.906 (82.054)
Epoch: [70][2200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.4587 (1.6874) Prec@1 70.312 (61.244) Prec@5 86.719 (82.031)
Epoch: [70][2400/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.4911 (1.6866) Prec@1 61.719 (61.268) Prec@5 85.938 (82.047)
Epoch: [70][2600/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.8729 (1.6855) Prec@1 53.906 (61.290) Prec@5 78.125 (82.064)
Epoch: [70][2800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.8103 (1.6861) Prec@1 62.500 (61.271) Prec@5 80.469 (82.047)
Epoch: [70][3000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.7585 (1.6863) Prec@1 60.938 (61.274) Prec@5 82.812 (82.047)
Epoch: [70][3200/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.6340 (1.6859) Prec@1 57.031 (61.288) Prec@5 84.375 (82.056)
Epoch: [70][3400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.0230 (1.6858) Prec@1 55.469 (61.275) Prec@5 81.250 (82.056)
Epoch: [70][3600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.7710 (1.6866) Prec@1 61.719 (61.266) Prec@5 82.812 (82.051)
Epoch: [70][3800/10010] Time 0.403 (0.400) Data 0.001 (0.002) Loss 1.6626 (1.6870) Prec@1 67.969 (61.248) Prec@5 81.250 (82.041)
Epoch: [70][4000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.9745 (1.6874) Prec@1 55.469 (61.238) Prec@5 75.781 (82.028)
Epoch: [70][4200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.6554 (1.6863) Prec@1 58.594 (61.262) Prec@5 82.812 (82.052)
Epoch: [70][4400/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 1.3083 (1.6861) Prec@1 72.656 (61.277) Prec@5 85.938 (82.058)
Epoch: [70][4600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7071 (1.6863) Prec@1 61.719 (61.278) Prec@5 82.812 (82.047)
Epoch: [70][4800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6817 (1.6870) Prec@1 61.719 (61.263) Prec@5 87.500 (82.032)
Epoch: [70][5000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.4034 (1.6864) Prec@1 67.188 (61.273) Prec@5 83.594 (82.038)
Epoch: [70][5200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.7308 (1.6872) Prec@1 62.500 (61.259) Prec@5 80.469 (82.020)
Epoch: [70][5400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.5372 (1.6872) Prec@1 63.281 (61.255) Prec@5 86.719 (82.028)
Epoch: [70][5600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.7883 (1.6879) Prec@1 60.156 (61.236) Prec@5 81.250 (82.022)
Epoch: [70][5800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.0132 (1.6878) Prec@1 53.125 (61.239) Prec@5 75.781 (82.020)
Epoch: [70][6000/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 1.6779 (1.6880) Prec@1 64.844 (61.247) Prec@5 79.688 (82.016)
Epoch: [70][6200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5594 (1.6875) Prec@1 66.406 (61.267) Prec@5 82.812 (82.025)
Epoch: [70][6400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.8777 (1.6881) Prec@1 61.719 (61.267) Prec@5 79.688 (82.020)
Epoch: [70][6600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.5943 (1.6881) Prec@1 62.500 (61.277) Prec@5 83.594 (82.024)
Epoch: [70][6800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.7227 (1.6886) Prec@1 59.375 (61.264) Prec@5 84.375 (82.021)
Epoch: [70][7000/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.4675 (1.6887) Prec@1 66.406 (61.271) Prec@5 84.375 (82.024)
Epoch: [70][7200/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.8530 (1.6891) Prec@1 60.156 (61.260) Prec@5 80.469 (82.013)
Epoch: [70][7400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.7057 (1.6896) Prec@1 59.375 (61.256) Prec@5 82.812 (82.003)
Epoch: [70][7600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.6975 (1.6897) Prec@1 61.719 (61.253) Prec@5 82.031 (82.003)
Epoch: [70][7800/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.6360 (1.6895) Prec@1 61.719 (61.255) Prec@5 78.125 (82.008)
Epoch: [70][8000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.8663 (1.6895) Prec@1 64.062 (61.259) Prec@5 78.906 (82.009)
Epoch: [70][8200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.5479 (1.6898) Prec@1 60.156 (61.251) Prec@5 83.594 (82.003)
Epoch: [70][8400/10010] Time 0.403 (0.399) Data 0.001 (0.001) Loss 1.7926 (1.6899) Prec@1 65.625 (61.258) Prec@5 82.031 (82.001)
Epoch: [70][8600/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 1.4706 (1.6896) Prec@1 63.281 (61.253) Prec@5 83.594 (82.007)
Epoch: [70][8800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.7612 (1.6903) Prec@1 60.156 (61.237) Prec@5 82.031 (82.000)
Epoch: [70][9000/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 1.5172 (1.6908) Prec@1 67.969 (61.221) Prec@5 86.719 (81.991)
Epoch: [70][9200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.9365 (1.6909) Prec@1 58.594 (61.219) Prec@5 80.469 (81.982)
Epoch: [70][9400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.8675 (1.6913) Prec@1 60.156 (61.207) Prec@5 79.688 (81.977)
Epoch: [70][9600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8898 (1.6912) Prec@1 58.594 (61.208) Prec@5 81.250 (81.978)
Epoch: [70][9800/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 1.2622 (1.6914) Prec@1 68.750 (61.195) Prec@5 89.844 (81.978)
Epoch: [70][10000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.9473 (1.6916) Prec@1 57.812 (61.191) Prec@5 78.125 (81.973)
Test: [0/391] Time 4.504 (4.504) Loss 0.6627 (0.6627) Prec@1 85.938 (85.938) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.140 (0.260) Loss 1.4870 (1.1984) Prec@1 64.062 (69.866) Prec@5 83.594 (89.681)
* Prec@1 65.540 Prec@5 86.292 Loss@ 1.425
==>>[2018-06-23 20:41:22] [Epoch=071/150] [Need: 89:40:50] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.55/86.37, Error=34.45/13.63]
Epoch: [71][0/10010] Time 4.796 (4.796) Data 4.629 (4.629) Loss 1.3770 (1.3770) Prec@1 70.312 (70.312) Prec@5 87.500 (87.500)
Epoch: [71][200/10010] Time 0.395 (0.420) Data 0.000 (0.026) Loss 1.5408 (1.6966) Prec@1 59.375 (61.042) Prec@5 85.156 (81.961)
Epoch: [71][400/10010] Time 0.397 (0.409) Data 0.000 (0.013) Loss 1.5634 (1.6857) Prec@1 61.719 (61.238) Prec@5 85.156 (82.111)
Epoch: [71][600/10010] Time 0.397 (0.405) Data 0.000 (0.009) Loss 1.7441 (1.6849) Prec@1 58.594 (61.415) Prec@5 82.031 (82.075)
Epoch: [71][800/10010] Time 0.400 (0.404) Data 0.000 (0.007) Loss 1.8551 (1.6816) Prec@1 55.469 (61.543) Prec@5 77.344 (82.168)
Epoch: [71][1000/10010] Time 0.403 (0.403) Data 0.000 (0.005) Loss 1.9010 (1.6836) Prec@1 57.812 (61.494) Prec@5 77.344 (82.124)
Epoch: [71][1200/10010] Time 0.402 (0.402) Data 0.000 (0.005) Loss 1.4399 (1.6846) Prec@1 66.406 (61.404) Prec@5 83.594 (82.144)
Epoch: [71][1400/10010] Time 0.398 (0.401) Data 0.000 (0.004) Loss 1.6994 (1.6829) Prec@1 56.250 (61.391) Prec@5 82.031 (82.166)
Epoch: [71][1600/10010] Time 0.397 (0.401) Data 0.000 (0.004) Loss 1.4493 (1.6841) Prec@1 61.719 (61.337) Prec@5 86.719 (82.152)
Epoch: [71][1800/10010] Time 0.405 (0.401) Data 0.000 (0.003) Loss 1.9563 (1.6850) Prec@1 54.688 (61.340) Prec@5 77.344 (82.148)
Epoch: [71][2000/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 1.8345 (1.6863) Prec@1 58.594 (61.324) Prec@5 80.469 (82.101)
Epoch: [71][2200/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 1.4985 (1.6859) Prec@1 64.062 (61.321) Prec@5 84.375 (82.110)
Epoch: [71][2400/10010] Time 0.410 (0.400) Data 0.000 (0.003) Loss 1.5081 (1.6877) Prec@1 65.625 (61.305) Prec@5 81.250 (82.065)
Epoch: [71][2600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.1036 (1.6887) Prec@1 51.562 (61.274) Prec@5 75.781 (82.065)
Epoch: [71][2800/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.6688 (1.6882) Prec@1 60.938 (61.280) Prec@5 82.031 (82.056)
Epoch: [71][3000/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.6421 (1.6888) Prec@1 60.938 (61.274) Prec@5 84.375 (82.049)
Epoch: [71][3200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.4541 (1.6888) Prec@1 68.750 (61.298) Prec@5 85.938 (82.052)
Epoch: [71][3400/10010] Time 0.390 (0.400) Data 0.000 (0.002) Loss 1.6555 (1.6874) Prec@1 60.938 (61.315) Prec@5 83.594 (82.081)
Epoch: [71][3600/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 1.7268 (1.6876) Prec@1 57.812 (61.308) Prec@5 82.031 (82.069)
Epoch: [71][3800/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 1.8709 (1.6879) Prec@1 56.250 (61.298) Prec@5 78.906 (82.060)
Epoch: [71][4000/10010] Time 0.399 (0.399) Data 0.001 (0.002) Loss 1.4797 (1.6879) Prec@1 69.531 (61.299) Prec@5 84.375 (82.062)
Epoch: [71][4200/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 1.7481 (1.6876) Prec@1 61.719 (61.300) Prec@5 78.906 (82.057)
Epoch: [71][4400/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 1.5745 (1.6872) Prec@1 60.938 (61.297) Prec@5 85.938 (82.059)
Epoch: [71][4600/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 1.6134 (1.6869) Prec@1 63.281 (61.287) Prec@5 83.594 (82.070)
Epoch: [71][4800/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 1.3408 (1.6871) Prec@1 67.188 (61.277) Prec@5 86.719 (82.077)
Epoch: [71][5000/10010] Time 0.404 (0.399) Data 0.001 (0.001) Loss 1.9864 (1.6871) Prec@1 56.250 (61.271) Prec@5 76.562 (82.071)
Epoch: [71][5200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.4193 (1.6870) Prec@1 64.844 (61.278) Prec@5 86.719 (82.071)
Epoch: [71][5400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.8822 (1.6872) Prec@1 53.125 (61.271) Prec@5 76.562 (82.075)
Epoch: [71][5600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.8226 (1.6870) Prec@1 52.344 (61.274) Prec@5 79.688 (82.072)
Epoch: [71][5800/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.3967 (1.6872) Prec@1 60.156 (61.273) Prec@5 88.281 (82.071)
Epoch: [71][6000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.7669 (1.6875) Prec@1 59.375 (61.267) Prec@5 78.125 (82.073)
Epoch: [71][6200/10010] Time 0.402 (0.399) Data 0.001 (0.001) Loss 1.7451 (1.6873) Prec@1 63.281 (61.272) Prec@5 82.031 (82.067)
Epoch: [71][6400/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.6285 (1.6877) Prec@1 53.906 (61.265) Prec@5 84.375 (82.064)
Epoch: [71][6600/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 1.5759 (1.6876) Prec@1 64.062 (61.256) Prec@5 82.031 (82.059)
Epoch: [71][6800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.6704 (1.6871) Prec@1 64.062 (61.261) Prec@5 83.594 (82.065)
Epoch: [71][7000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.3285 (1.6873) Prec@1 63.281 (61.258) Prec@5 87.500 (82.060)
Epoch: [71][7200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5022 (1.6871) Prec@1 62.500 (61.264) Prec@5 85.156 (82.066)
Epoch: [71][7400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.3164 (1.6874) Prec@1 65.625 (61.250) Prec@5 89.062 (82.060)
Epoch: [71][7600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.8133 (1.6872) Prec@1 64.062 (61.251) Prec@5 80.469 (82.062)
Epoch: [71][7800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.6388 (1.6871) Prec@1 67.188 (61.259) Prec@5 80.469 (82.062)
Epoch: [71][8000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.7849 (1.6875) Prec@1 61.719 (61.253) Prec@5 82.031 (82.056)
Epoch: [71][8200/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 1.5715 (1.6873) Prec@1 61.719 (61.250) Prec@5 83.594 (82.058)
Epoch: [71][8400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.7474 (1.6872) Prec@1 58.594 (61.244) Prec@5 82.812 (82.060)
Epoch: [71][8600/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.6091 (1.6873) Prec@1 64.062 (61.240) Prec@5 84.375 (82.057)
Epoch: [71][8800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.6716 (1.6875) Prec@1 65.625 (61.237) Prec@5 79.688 (82.056)
Epoch: [71][9000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.6341 (1.6876) Prec@1 68.750 (61.236) Prec@5 83.594 (82.051)
Epoch: [71][9200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.6948 (1.6880) Prec@1 57.031 (61.229) Prec@5 82.812 (82.047)
Epoch: [71][9400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.9142 (1.6882) Prec@1 50.000 (61.217) Prec@5 78.906 (82.036)
Epoch: [71][9600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.5334 (1.6880) Prec@1 62.500 (61.225) Prec@5 85.156 (82.039)
Epoch: [71][9800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.8854 (1.6883) Prec@1 57.812 (61.222) Prec@5 75.781 (82.034)
Epoch: [71][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.8109 (1.6887) Prec@1 63.281 (61.215) Prec@5 79.688 (82.026)
Test: [0/391] Time 3.978 (3.978) Loss 0.5903 (0.5903) Prec@1 85.938 (85.938) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.163 (0.241) Loss 1.6015 (1.1903) Prec@1 61.719 (69.939) Prec@5 82.812 (89.883)
* Prec@1 65.554 Prec@5 86.500 Loss@ 1.422
==>>[2018-06-23 21:49:23] [Epoch=072/150] [Need: 88:26:10] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.55/86.50, Error=34.45/13.50]
Epoch: [72][0/10010] Time 4.135 (4.135) Data 3.964 (3.964) Loss 1.7647 (1.7647) Prec@1 62.500 (62.500) Prec@5 78.125 (78.125)
Epoch: [72][200/10010] Time 0.394 (0.417) Data 0.000 (0.020) Loss 1.3345 (1.6716) Prec@1 64.844 (61.334) Prec@5 89.844 (82.435)
Epoch: [72][400/10010] Time 0.395 (0.407) Data 0.000 (0.010) Loss 1.5787 (1.6790) Prec@1 64.844 (61.201) Prec@5 82.812 (82.212)
Epoch: [72][600/10010] Time 0.392 (0.404) Data 0.000 (0.007) Loss 1.7314 (1.6798) Prec@1 60.938 (61.201) Prec@5 80.469 (82.143)
Epoch: [72][800/10010] Time 0.390 (0.403) Data 0.000 (0.005) Loss 1.6992 (1.6810) Prec@1 59.375 (61.271) Prec@5 83.594 (82.126)
Epoch: [72][1000/10010] Time 0.401 (0.402) Data 0.000 (0.004) Loss 1.6908 (1.6813) Prec@1 60.156 (61.266) Prec@5 80.469 (82.108)
Epoch: [72][1200/10010] Time 0.398 (0.401) Data 0.000 (0.004) Loss 1.4474 (1.6800) Prec@1 61.719 (61.373) Prec@5 84.375 (82.115)
Epoch: [72][1400/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 1.8472 (1.6806) Prec@1 55.469 (61.335) Prec@5 82.031 (82.128)
Epoch: [72][1600/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 1.8232 (1.6785) Prec@1 62.500 (61.395) Prec@5 82.812 (82.165)
Epoch: [72][1800/10010] Time 0.400 (0.400) Data 0.000 (0.003) Loss 1.4557 (1.6774) Prec@1 69.531 (61.419) Prec@5 87.500 (82.192)
Epoch: [72][2000/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.7362 (1.6765) Prec@1 60.156 (61.426) Prec@5 79.688 (82.214)
Epoch: [72][2200/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 1.9868 (1.6768) Prec@1 58.594 (61.448) Prec@5 79.688 (82.216)
Epoch: [72][2400/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.5217 (1.6785) Prec@1 64.062 (61.435) Prec@5 84.375 (82.207)
Epoch: [72][2600/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.7806 (1.6781) Prec@1 61.719 (61.458) Prec@5 80.469 (82.217)
Epoch: [72][2800/10010] Time 0.402 (0.400) Data 0.001 (0.002) Loss 1.7072 (1.6792) Prec@1 58.594 (61.466) Prec@5 84.375 (82.198)
Epoch: [72][3000/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.4696 (1.6772) Prec@1 65.625 (61.498) Prec@5 88.281 (82.202)
Epoch: [72][3200/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.4619 (1.6776) Prec@1 59.375 (61.460) Prec@5 83.594 (82.212)
Epoch: [72][3400/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 1.5478 (1.6770) Prec@1 66.406 (61.486) Prec@5 85.938 (82.215)
Epoch: [72][3600/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 1.5971 (1.6764) Prec@1 64.844 (61.492) Prec@5 80.469 (82.215)
Epoch: [72][3800/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 1.5881 (1.6789) Prec@1 67.188 (61.441) Prec@5 84.375 (82.184)
Epoch: [72][4000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1145 (1.6792) Prec@1 55.469 (61.448) Prec@5 75.000 (82.178)
Epoch: [72][4200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.5139 (1.6805) Prec@1 65.625 (61.435) Prec@5 82.812 (82.158)
Epoch: [72][4400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.4832 (1.6806) Prec@1 64.844 (61.435) Prec@5 88.281 (82.151)
Epoch: [72][4600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.9668 (1.6809) Prec@1 59.375 (61.415) Prec@5 77.344 (82.156)
Epoch: [72][4800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.3763 (1.6796) Prec@1 71.875 (61.429) Prec@5 86.719 (82.175)
Epoch: [72][5000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.4524 (1.6793) Prec@1 65.625 (61.419) Prec@5 84.375 (82.174)
Epoch: [72][5200/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 1.5985 (1.6787) Prec@1 63.281 (61.424) Prec@5 83.594 (82.180)
Epoch: [72][5400/10010] Time 0.407 (0.399) Data 0.001 (0.001) Loss 1.9682 (1.6786) Prec@1 57.031 (61.417) Prec@5 78.125 (82.179)
Epoch: [72][5600/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 1.6586 (1.6789) Prec@1 60.156 (61.412) Prec@5 82.812 (82.173)
Epoch: [72][5800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.8152 (1.6797) Prec@1 58.594 (61.391) Prec@5 78.125 (82.166)
Epoch: [72][6000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.5857 (1.6805) Prec@1 63.281 (61.385) Prec@5 82.031 (82.157)
Epoch: [72][6200/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.7022 (1.6805) Prec@1 66.406 (61.391) Prec@5 80.469 (82.157)
Epoch: [72][6400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.6960 (1.6808) Prec@1 60.938 (61.380) Prec@5 80.469 (82.145)
Epoch: [72][6600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.5688 (1.6807) Prec@1 64.844 (61.381) Prec@5 84.375 (82.149)
Epoch: [72][6800/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 1.6511 (1.6809) Prec@1 64.062 (61.389) Prec@5 80.469 (82.140)
Epoch: [72][7000/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.3321 (1.6818) Prec@1 71.094 (61.362) Prec@5 89.062 (82.132)
Epoch: [72][7200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5255 (1.6814) Prec@1 65.625 (61.366) Prec@5 82.812 (82.131)
Epoch: [72][7400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.4313 (1.6816) Prec@1 61.719 (61.365) Prec@5 82.031 (82.127)
Epoch: [72][7600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.5092 (1.6816) Prec@1 65.625 (61.366) Prec@5 85.156 (82.126)
Epoch: [72][7800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.4018 (1.6820) Prec@1 65.625 (61.365) Prec@5 85.938 (82.116)
Epoch: [72][8000/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.6269 (1.6824) Prec@1 67.188 (61.356) Prec@5 82.812 (82.109)
Epoch: [72][8200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7443 (1.6824) Prec@1 58.594 (61.363) Prec@5 81.250 (82.109)
Epoch: [72][8400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.8569 (1.6828) Prec@1 57.812 (61.361) Prec@5 80.469 (82.105)
Epoch: [72][8600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.2675 (1.6830) Prec@1 71.875 (61.358) Prec@5 85.938 (82.101)
Epoch: [72][8800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.7316 (1.6832) Prec@1 56.250 (61.361) Prec@5 81.250 (82.096)
Epoch: [72][9000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.7057 (1.6837) Prec@1 60.156 (61.355) Prec@5 80.469 (82.085)
Epoch: [72][9200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.7983 (1.6841) Prec@1 55.469 (61.353) Prec@5 80.469 (82.080)
Epoch: [72][9400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.7865 (1.6838) Prec@1 57.031 (61.359) Prec@5 78.906 (82.085)
Epoch: [72][9600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.6309 (1.6840) Prec@1 65.625 (61.349) Prec@5 83.594 (82.085)
Epoch: [72][9800/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 1.4528 (1.6842) Prec@1 66.406 (61.346) Prec@5 88.281 (82.085)
Epoch: [72][10000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.4723 (1.6845) Prec@1 66.406 (61.337) Prec@5 86.719 (82.078)
Test: [0/391] Time 3.910 (3.910) Loss 0.6901 (0.6901) Prec@1 85.156 (85.156) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.139 (0.246) Loss 1.5492 (1.1883) Prec@1 60.938 (70.188) Prec@5 85.938 (90.003)
* Prec@1 65.848 Prec@5 86.546 Loss@ 1.417
==>>[2018-06-23 22:57:25] [Epoch=073/150] [Need: 87:18:26] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.85/86.55, Error=34.15/13.45]
Epoch: [73][0/10010] Time 3.655 (3.655) Data 3.478 (3.478) Loss 1.8372 (1.8372) Prec@1 61.719 (61.719) Prec@5 79.688 (79.688)
Epoch: [73][200/10010] Time 0.403 (0.415) Data 0.000 (0.021) Loss 1.5708 (1.6595) Prec@1 64.062 (61.909) Prec@5 85.938 (82.424)
Epoch: [73][400/10010] Time 0.397 (0.407) Data 0.000 (0.011) Loss 1.6909 (1.6681) Prec@1 57.031 (61.723) Prec@5 79.688 (82.318)
Epoch: [73][600/10010] Time 0.392 (0.404) Data 0.000 (0.007) Loss 1.6133 (1.6607) Prec@1 57.812 (61.918) Prec@5 82.812 (82.454)
Epoch: [73][800/10010] Time 0.408 (0.403) Data 0.000 (0.006) Loss 1.6129 (1.6564) Prec@1 56.250 (61.847) Prec@5 88.281 (82.596)
Epoch: [73][1000/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 1.6187 (1.6565) Prec@1 61.719 (61.774) Prec@5 87.500 (82.557)
Epoch: [73][1200/10010] Time 0.398 (0.401) Data 0.000 (0.004) Loss 1.7487 (1.6571) Prec@1 59.375 (61.772) Prec@5 76.562 (82.532)
Epoch: [73][1400/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 1.7921 (1.6597) Prec@1 57.812 (61.787) Prec@5 78.906 (82.456)
Epoch: [73][1600/10010] Time 0.397 (0.400) Data 0.000 (0.003) Loss 1.5987 (1.6640) Prec@1 64.062 (61.748) Prec@5 78.125 (82.396)
Epoch: [73][1800/10010] Time 0.394 (0.400) Data 0.001 (0.003) Loss 1.5808 (1.6659) Prec@1 63.281 (61.688) Prec@5 83.594 (82.361)
Epoch: [73][2000/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.6681 (1.6658) Prec@1 66.406 (61.661) Prec@5 84.375 (82.372)
Epoch: [73][2200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.7841 (1.6648) Prec@1 57.031 (61.699) Prec@5 80.469 (82.390)
Epoch: [73][2400/10010] Time 0.396 (0.400) Data 0.001 (0.002) Loss 1.5891 (1.6664) Prec@1 60.938 (61.662) Prec@5 86.719 (82.359)
Epoch: [73][2600/10010] Time 0.409 (0.400) Data 0.000 (0.002) Loss 1.5664 (1.6667) Prec@1 68.750 (61.647) Prec@5 85.156 (82.360)
Epoch: [73][2800/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 1.5254 (1.6667) Prec@1 62.500 (61.665) Prec@5 85.156 (82.353)
Epoch: [73][3000/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 1.6191 (1.6677) Prec@1 67.969 (61.667) Prec@5 83.594 (82.328)
Epoch: [73][3200/10010] Time 0.406 (0.399) Data 0.000 (0.002) Loss 2.0101 (1.6691) Prec@1 50.781 (61.638) Prec@5 74.219 (82.299)
Epoch: [73][3400/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 1.3406 (1.6704) Prec@1 63.281 (61.601) Prec@5 86.719 (82.284)
Epoch: [73][3600/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 1.4662 (1.6702) Prec@1 69.531 (61.598) Prec@5 85.156 (82.292)
Epoch: [73][3800/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 1.8849 (1.6717) Prec@1 60.938 (61.556) Prec@5 78.906 (82.284)
Epoch: [73][4000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5557 (1.6732) Prec@1 67.969 (61.535) Prec@5 81.250 (82.263)
Epoch: [73][4200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.9034 (1.6732) Prec@1 57.031 (61.565) Prec@5 75.781 (82.259)
Epoch: [73][4400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.4133 (1.6728) Prec@1 64.062 (61.574) Prec@5 88.281 (82.251)
Epoch: [73][4600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5654 (1.6729) Prec@1 62.500 (61.564) Prec@5 82.031 (82.251)
Epoch: [73][4800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.8860 (1.6730) Prec@1 59.375 (61.549) Prec@5 82.031 (82.247)
Epoch: [73][5000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.4923 (1.6736) Prec@1 61.719 (61.536) Prec@5 83.594 (82.242)
Epoch: [73][5200/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 1.4195 (1.6731) Prec@1 67.188 (61.545) Prec@5 84.375 (82.246)
Epoch: [73][5400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5490 (1.6735) Prec@1 66.406 (61.531) Prec@5 85.938 (82.247)
Epoch: [73][5600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.8424 (1.6730) Prec@1 60.156 (61.543) Prec@5 81.250 (82.257)
Epoch: [73][5800/10010] Time 0.420 (0.399) Data 0.000 (0.001) Loss 1.5904 (1.6727) Prec@1 64.062 (61.554) Prec@5 84.375 (82.256)
Epoch: [73][6000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.5537 (1.6728) Prec@1 68.750 (61.555) Prec@5 88.281 (82.255)
Epoch: [73][6200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7772 (1.6727) Prec@1 64.062 (61.557) Prec@5 81.250 (82.260)
Epoch: [73][6400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.9204 (1.6725) Prec@1 53.906 (61.555) Prec@5 82.031 (82.259)
Epoch: [73][6600/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.7227 (1.6725) Prec@1 60.156 (61.563) Prec@5 82.812 (82.253)
Epoch: [73][6800/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 1.3845 (1.6731) Prec@1 69.531 (61.549) Prec@5 92.188 (82.247)
Epoch: [73][7000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.0893 (1.6735) Prec@1 75.781 (61.544) Prec@5 92.188 (82.237)
Epoch: [73][7200/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 1.6659 (1.6734) Prec@1 60.156 (61.547) Prec@5 83.594 (82.234)
Epoch: [73][7400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.5929 (1.6740) Prec@1 64.062 (61.532) Prec@5 83.594 (82.224)
Epoch: [73][7600/10010] Time 0.402 (0.399) Data 0.001 (0.001) Loss 1.4140 (1.6740) Prec@1 70.312 (61.541) Prec@5 82.812 (82.224)
Epoch: [73][7800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.0773 (1.6745) Prec@1 53.125 (61.540) Prec@5 75.000 (82.221)
Epoch: [73][8000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.8060 (1.6743) Prec@1 56.250 (61.543) Prec@5 82.812 (82.220)
Epoch: [73][8200/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.8467 (1.6745) Prec@1 57.812 (61.533) Prec@5 82.031 (82.216)
Epoch: [73][8400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.4931 (1.6747) Prec@1 67.969 (61.523) Prec@5 85.938 (82.218)
Epoch: [73][8600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.7937 (1.6749) Prec@1 56.250 (61.523) Prec@5 81.250 (82.216)
Epoch: [73][8800/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.6406 (1.6750) Prec@1 60.156 (61.525) Prec@5 78.906 (82.211)
Epoch: [73][9000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.6765 (1.6756) Prec@1 61.719 (61.517) Prec@5 82.812 (82.206)
Epoch: [73][9200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.6893 (1.6760) Prec@1 64.844 (61.511) Prec@5 78.125 (82.197)
Epoch: [73][9400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.4958 (1.6759) Prec@1 63.281 (61.508) Prec@5 83.594 (82.201)
Epoch: [73][9600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.7614 (1.6761) Prec@1 59.375 (61.510) Prec@5 84.375 (82.198)
Epoch: [73][9800/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 1.6918 (1.6765) Prec@1 64.062 (61.494) Prec@5 84.375 (82.196)
Epoch: [73][10000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.6172 (1.6767) Prec@1 66.406 (61.493) Prec@5 85.156 (82.193)
Test: [0/391] Time 4.415 (4.415) Loss 0.6157 (0.6157) Prec@1 87.500 (87.500) Prec@5 96.094 (96.094)
Test: [200/391] Time 0.139 (0.244) Loss 1.6011 (1.1897) Prec@1 58.594 (69.710) Prec@5 83.594 (89.832)
* Prec@1 65.600 Prec@5 86.496 Loss@ 1.422
==>>[2018-06-24 00:05:28] [Epoch=074/150] [Need: 86:10:48] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.85/86.55, Error=34.15/13.45]
Epoch: [74][0/10010] Time 4.425 (4.425) Data 4.263 (4.263) Loss 1.6031 (1.6031) Prec@1 60.156 (60.156) Prec@5 84.375 (84.375)
Epoch: [74][200/10010] Time 0.403 (0.418) Data 0.001 (0.022) Loss 1.6410 (1.6353) Prec@1 63.281 (62.022) Prec@5 84.375 (83.092)
Epoch: [74][400/10010] Time 0.397 (0.408) Data 0.000 (0.011) Loss 1.5597 (1.6536) Prec@1 62.500 (61.824) Prec@5 86.719 (82.670)
Epoch: [74][600/10010] Time 0.399 (0.405) Data 0.000 (0.008) Loss 1.6664 (1.6630) Prec@1 59.375 (61.624) Prec@5 82.031 (82.589)
Epoch: [74][800/10010] Time 0.407 (0.403) Data 0.000 (0.006) Loss 1.3946 (1.6621) Prec@1 59.375 (61.741) Prec@5 85.156 (82.498)
Epoch: [74][1000/10010] Time 0.398 (0.402) Data 0.000 (0.005) Loss 1.5051 (1.6628) Prec@1 66.406 (61.729) Prec@5 80.469 (82.485)
Epoch: [74][1200/10010] Time 0.401 (0.402) Data 0.000 (0.004) Loss 1.8067 (1.6665) Prec@1 56.250 (61.655) Prec@5 82.031 (82.385)
Epoch: [74][1400/10010] Time 0.402 (0.401) Data 0.000 (0.003) Loss 1.5062 (1.6655) Prec@1 60.938 (61.661) Prec@5 86.719 (82.396)
Epoch: [74][1600/10010] Time 0.393 (0.401) Data 0.000 (0.003) Loss 1.5782 (1.6634) Prec@1 61.719 (61.671) Prec@5 85.938 (82.437)
Epoch: [74][1800/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 1.7845 (1.6660) Prec@1 57.812 (61.631) Prec@5 83.594 (82.413)
Epoch: [74][2000/10010] Time 0.399 (0.400) Data 0.001 (0.003) Loss 1.8407 (1.6662) Prec@1 58.594 (61.662) Prec@5 81.250 (82.412)
Epoch: [74][2200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.1012 (1.6672) Prec@1 53.906 (61.650) Prec@5 78.906 (82.383)
Epoch: [74][2400/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 1.6601 (1.6696) Prec@1 67.188 (61.593) Prec@5 79.688 (82.343)
Epoch: [74][2600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.6537 (1.6699) Prec@1 64.062 (61.612) Prec@5 85.156 (82.343)
Epoch: [74][2800/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.5931 (1.6695) Prec@1 61.719 (61.637) Prec@5 79.688 (82.354)
Epoch: [74][3000/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.6759 (1.6707) Prec@1 62.500 (61.605) Prec@5 76.562 (82.326)
Epoch: [74][3200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.7466 (1.6708) Prec@1 60.938 (61.606) Prec@5 78.125 (82.317)
Epoch: [74][3400/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.4854 (1.6714) Prec@1 67.188 (61.601) Prec@5 85.156 (82.303)
Epoch: [74][3600/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.6716 (1.6712) Prec@1 57.031 (61.599) Prec@5 83.594 (82.310)
Epoch: [74][3800/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 1.7889 (1.6719) Prec@1 58.594 (61.589) Prec@5 81.250 (82.307)
Epoch: [74][4000/10010] Time 0.411 (0.399) Data 0.000 (0.002) Loss 1.6309 (1.6710) Prec@1 61.719 (61.598) Prec@5 80.469 (82.313)
Epoch: [74][4200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.7012 (1.6706) Prec@1 64.062 (61.602) Prec@5 83.594 (82.327)
Epoch: [74][4400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9358 (1.6721) Prec@1 55.469 (61.578) Prec@5 76.562 (82.305)
Epoch: [74][4600/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 1.7644 (1.6703) Prec@1 60.156 (61.602) Prec@5 81.250 (82.336)
Epoch: [74][4800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.3604 (1.6704) Prec@1 68.750 (61.593) Prec@5 86.719 (82.334)
Epoch: [74][5000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.8645 (1.6698) Prec@1 57.031 (61.594) Prec@5 81.250 (82.351)
Epoch: [74][5200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.4526 (1.6702) Prec@1 64.062 (61.580) Prec@5 87.500 (82.344)
Epoch: [74][5400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.7433 (1.6702) Prec@1 63.281 (61.587) Prec@5 82.031 (82.345)
Epoch: [74][5600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.7086 (1.6701) Prec@1 59.375 (61.590) Prec@5 81.250 (82.344)
Epoch: [74][5800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.7510 (1.6701) Prec@1 60.156 (61.590) Prec@5 80.469 (82.335)
Epoch: [74][6000/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.5465 (1.6701) Prec@1 66.406 (61.589) Prec@5 83.594 (82.331)
Epoch: [74][6200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.7183 (1.6696) Prec@1 59.375 (61.605) Prec@5 82.812 (82.341)
Epoch: [74][6400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.5873 (1.6697) Prec@1 64.062 (61.607) Prec@5 82.031 (82.329)
Epoch: [74][6600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.7586 (1.6697) Prec@1 53.906 (61.603) Prec@5 82.812 (82.331)
Epoch: [74][6800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.7937 (1.6698) Prec@1 59.375 (61.607) Prec@5 81.250 (82.324)
Epoch: [74][7000/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 1.6055 (1.6701) Prec@1 61.719 (61.606) Prec@5 82.031 (82.328)
Epoch: [74][7200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.5205 (1.6700) Prec@1 65.625 (61.607) Prec@5 82.031 (82.327)
Epoch: [74][7400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.5171 (1.6706) Prec@1 64.844 (61.595) Prec@5 82.031 (82.316)
Epoch: [74][7600/10010] Time 0.388 (0.399) Data 0.000 (0.001) Loss 1.7711 (1.6703) Prec@1 60.156 (61.606) Prec@5 82.031 (82.310)
Epoch: [74][7800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.6913 (1.6701) Prec@1 60.938 (61.617) Prec@5 79.688 (82.313)
Epoch: [74][8000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.7131 (1.6701) Prec@1 65.625 (61.613) Prec@5 80.469 (82.318)
Epoch: [74][8200/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 1.5017 (1.6696) Prec@1 61.719 (61.621) Prec@5 86.719 (82.330)
Epoch: [74][8400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.3969 (1.6701) Prec@1 64.844 (61.621) Prec@5 88.281 (82.323)
Epoch: [74][8600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.8773 (1.6705) Prec@1 60.156 (61.619) Prec@5 79.688 (82.316)
Epoch: [74][8800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.7402 (1.6708) Prec@1 58.594 (61.613) Prec@5 82.031 (82.306)
Epoch: [74][9000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.8715 (1.6709) Prec@1 60.938 (61.611) Prec@5 75.781 (82.304)
Epoch: [74][9200/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.9569 (1.6712) Prec@1 58.594 (61.610) Prec@5 74.219 (82.294)
Epoch: [74][9400/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.8794 (1.6707) Prec@1 63.281 (61.620) Prec@5 78.906 (82.306)
Epoch: [74][9600/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 1.6954 (1.6711) Prec@1 60.156 (61.605) Prec@5 85.156 (82.300)
Epoch: [74][9800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2032 (1.6712) Prec@1 53.125 (61.596) Prec@5 75.000 (82.296)
Epoch: [74][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.9580 (1.6713) Prec@1 56.250 (61.596) Prec@5 76.562 (82.296)
Test: [0/391] Time 4.908 (4.908) Loss 0.6043 (0.6043) Prec@1 85.938 (85.938) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.144 (0.250) Loss 1.6175 (1.1942) Prec@1 57.812 (69.788) Prec@5 84.375 (89.739)
* Prec@1 65.522 Prec@5 86.470 Loss@ 1.421
==>>[2018-06-24 01:13:34] [Epoch=075/150] [Need: 85:07:53] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.85/86.55, Error=34.15/13.45]
Epoch: [75][0/10010] Time 4.073 (4.073) Data 3.895 (3.895) Loss 1.7317 (1.7317) Prec@1 57.812 (57.812) Prec@5 83.594 (83.594)
Epoch: [75][200/10010] Time 0.397 (0.416) Data 0.000 (0.023) Loss 1.6988 (1.6434) Prec@1 62.500 (61.940) Prec@5 81.250 (82.867)
Epoch: [75][400/10010] Time 0.397 (0.407) Data 0.000 (0.012) Loss 1.5856 (1.6561) Prec@1 61.719 (61.762) Prec@5 82.812 (82.649)
Epoch: [75][600/10010] Time 0.404 (0.404) Data 0.000 (0.008) Loss 1.5111 (1.6542) Prec@1 64.062 (61.828) Prec@5 85.156 (82.662)
Epoch: [75][800/10010] Time 0.396 (0.402) Data 0.000 (0.006) Loss 1.5014 (1.6603) Prec@1 63.281 (61.774) Prec@5 84.375 (82.477)
Epoch: [75][1000/10010] Time 0.396 (0.401) Data 0.000 (0.005) Loss 2.0360 (1.6601) Prec@1 53.906 (61.803) Prec@5 75.781 (82.466)
Epoch: [75][1200/10010] Time 0.394 (0.401) Data 0.000 (0.004) Loss 1.6045 (1.6615) Prec@1 61.719 (61.707) Prec@5 82.031 (82.481)
Epoch: [75][1400/10010] Time 0.398 (0.401) Data 0.000 (0.004) Loss 1.7572 (1.6605) Prec@1 59.375 (61.756) Prec@5 82.812 (82.454)
Epoch: [75][1600/10010] Time 0.396 (0.400) Data 0.000 (0.003) Loss 1.3885 (1.6604) Prec@1 68.750 (61.736) Prec@5 87.500 (82.466)
Epoch: [75][1800/10010] Time 0.396 (0.400) Data 0.000 (0.003) Loss 1.3314 (1.6600) Prec@1 65.625 (61.732) Prec@5 85.938 (82.469)
Epoch: [75][2000/10010] Time 0.400 (0.400) Data 0.000 (0.003) Loss 1.6901 (1.6617) Prec@1 57.812 (61.701) Prec@5 75.781 (82.461)
Epoch: [75][2200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.6538 (1.6620) Prec@1 54.688 (61.718) Prec@5 79.688 (82.455)
Epoch: [75][2400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.6190 (1.6640) Prec@1 64.844 (61.675) Prec@5 82.812 (82.411)
Epoch: [75][2600/10010] Time 0.402 (0.399) Data 0.000 (0.002) Loss 1.6418 (1.6648) Prec@1 64.062 (61.663) Prec@5 85.156 (82.410)
Epoch: [75][2800/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 1.4881 (1.6639) Prec@1 65.625 (61.683) Prec@5 85.156 (82.435)
Epoch: [75][3000/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 1.4942 (1.6640) Prec@1 69.531 (61.694) Prec@5 86.719 (82.408)
Epoch: [75][3200/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 1.5612 (1.6648) Prec@1 58.594 (61.687) Prec@5 83.594 (82.398)
Epoch: [75][3400/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 1.3033 (1.6654) Prec@1 69.531 (61.684) Prec@5 85.938 (82.380)
Epoch: [75][3600/10010] Time 0.399 (0.399) Data 0.001 (0.002) Loss 1.6362 (1.6657) Prec@1 63.281 (61.673) Prec@5 82.812 (82.387)
Epoch: [75][3800/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 1.6203 (1.6659) Prec@1 64.062 (61.682) Prec@5 82.812 (82.372)
Epoch: [75][4000/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 1.4939 (1.6649) Prec@1 64.844 (61.692) Prec@5 82.812 (82.382)
Epoch: [75][4200/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 1.6075 (1.6639) Prec@1 58.594 (61.716) Prec@5 81.250 (82.404)
Epoch: [75][4400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.7321 (1.6644) Prec@1 59.375 (61.697) Prec@5 81.250 (82.396)
Epoch: [75][4600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.5819 (1.6657) Prec@1 61.719 (61.685) Prec@5 83.594 (82.367)
Epoch: [75][4800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.5655 (1.6657) Prec@1 60.156 (61.686) Prec@5 84.375 (82.364)
Epoch: [75][5000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.5182 (1.6656) Prec@1 63.281 (61.684) Prec@5 86.719 (82.363)
Epoch: [75][5200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7836 (1.6668) Prec@1 59.375 (61.659) Prec@5 78.125 (82.348)
Epoch: [75][5400/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 1.7617 (1.6671) Prec@1 57.031 (61.660) Prec@5 85.156 (82.337)
Epoch: [75][5600/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 1.8805 (1.6675) Prec@1 58.594 (61.646) Prec@5 76.562 (82.332)
Epoch: [75][5800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.4153 (1.6680) Prec@1 63.281 (61.638) Prec@5 85.938 (82.316)
Epoch: [75][6000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.3872 (1.6682) Prec@1 68.750 (61.640) Prec@5 87.500 (82.311)
Epoch: [75][6200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.8904 (1.6677) Prec@1 60.156 (61.655) Prec@5 75.781 (82.315)
Epoch: [75][6400/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 1.9125 (1.6677) Prec@1 60.938 (61.642) Prec@5 78.906 (82.321)
Epoch: [75][6600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6179 (1.6677) Prec@1 60.938 (61.643) Prec@5 82.812 (82.324)
Epoch: [75][6800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.4828 (1.6682) Prec@1 66.406 (61.636) Prec@5 85.938 (82.316)
Epoch: [75][7000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.5243 (1.6687) Prec@1 63.281 (61.627) Prec@5 87.500 (82.311)
Epoch: [75][7200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5851 (1.6682) Prec@1 62.500 (61.635) Prec@5 83.594 (82.320)
Epoch: [75][7400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.0192 (1.6685) Prec@1 51.562 (61.629) Prec@5 81.250 (82.307)
Epoch: [75][7600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6329 (1.6684) Prec@1 65.625 (61.642) Prec@5 84.375 (82.302)
Epoch: [75][7800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.9152 (1.6683) Prec@1 57.812 (61.636) Prec@5 75.781 (82.301)
Epoch: [75][8000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.2255 (1.6684) Prec@1 73.438 (61.635) Prec@5 85.938 (82.296)
Epoch: [75][8200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.3975 (1.6685) Prec@1 64.062 (61.634) Prec@5 88.281 (82.301)
Epoch: [75][8400/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 1.9240 (1.6685) Prec@1 56.250 (61.634) Prec@5 77.344 (82.298)
Epoch: [75][8600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.5406 (1.6687) Prec@1 62.500 (61.628) Prec@5 85.156 (82.298)
Epoch: [75][8800/10010] Time 0.394 (0.398) Data 0.001 (0.001) Loss 1.5613 (1.6690) Prec@1 64.844 (61.631) Prec@5 84.375 (82.288)
Epoch: [75][9000/10010] Time 0.401 (0.398) Data 0.000 (0.001) Loss 1.2317 (1.6694) Prec@1 71.094 (61.624) Prec@5 87.500 (82.289)
Epoch: [75][9200/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 1.5712 (1.6699) Prec@1 67.188 (61.615) Prec@5 85.156 (82.282)
Epoch: [75][9400/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 1.7235 (1.6700) Prec@1 61.719 (61.609) Prec@5 83.594 (82.285)
Epoch: [75][9600/10010] Time 0.392 (0.398) Data 0.000 (0.001) Loss 1.7554 (1.6697) Prec@1 59.375 (61.620) Prec@5 82.031 (82.285)
Epoch: [75][9800/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 1.9315 (1.6692) Prec@1 51.562 (61.625) Prec@5 81.250 (82.292)
Epoch: [75][10000/10010] Time 0.395 (0.398) Data 0.000 (0.001) Loss 1.9253 (1.6692) Prec@1 60.156 (61.626) Prec@5 82.031 (82.289)
Test: [0/391] Time 4.671 (4.671) Loss 0.6770 (0.6770) Prec@1 85.156 (85.156) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.152 (0.248) Loss 1.6255 (1.1899) Prec@1 59.375 (69.928) Prec@5 84.375 (89.960)
* Prec@1 65.666 Prec@5 86.594 Loss@ 1.414
==>>[2018-06-24 02:21:36] [Epoch=076/150] [Need: 83:54:11] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.85/86.59, Error=34.15/13.41]
Epoch: [76][0/10010] Time 3.982 (3.982) Data 3.793 (3.793) Loss 1.6154 (1.6154) Prec@1 58.594 (58.594) Prec@5 83.594 (83.594)
Epoch: [76][200/10010] Time 0.394 (0.417) Data 0.000 (0.023) Loss 1.9133 (1.6525) Prec@1 52.344 (61.598) Prec@5 78.125 (82.435)
Epoch: [76][400/10010] Time 0.403 (0.407) Data 0.000 (0.012) Loss 1.6820 (1.6578) Prec@1 59.375 (61.818) Prec@5 78.906 (82.388)
Epoch: [76][600/10010] Time 0.400 (0.404) Data 0.000 (0.008) Loss 1.4332 (1.6529) Prec@1 67.188 (61.845) Prec@5 87.500 (82.554)
Epoch: [76][800/10010] Time 0.396 (0.403) Data 0.000 (0.006) Loss 1.5259 (1.6512) Prec@1 63.281 (61.892) Prec@5 84.375 (82.602)
Epoch: [76][1000/10010] Time 0.396 (0.402) Data 0.000 (0.005) Loss 1.5473 (1.6504) Prec@1 62.500 (61.890) Prec@5 84.375 (82.585)
Epoch: [76][1200/10010] Time 0.397 (0.401) Data 0.000 (0.004) Loss 1.4084 (1.6529) Prec@1 65.625 (61.888) Prec@5 86.719 (82.552)
Epoch: [76][1400/10010] Time 0.397 (0.401) Data 0.000 (0.004) Loss 1.9053 (1.6568) Prec@1 54.688 (61.795) Prec@5 84.375 (82.514)
Epoch: [76][1600/10010] Time 0.396 (0.400) Data 0.000 (0.003) Loss 1.9253 (1.6590) Prec@1 55.469 (61.748) Prec@5 77.344 (82.466)
Epoch: [76][1800/10010] Time 0.400 (0.400) Data 0.000 (0.003) Loss 1.3334 (1.6588) Prec@1 66.406 (61.743) Prec@5 84.375 (82.442)
Epoch: [76][2000/10010] Time 0.396 (0.400) Data 0.000 (0.003) Loss 1.7823 (1.6588) Prec@1 57.031 (61.740) Prec@5 77.344 (82.438)
Epoch: [76][2200/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.7245 (1.6586) Prec@1 59.375 (61.723) Prec@5 82.031 (82.437)
Epoch: [76][2400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.7533 (1.6588) Prec@1 60.156 (61.749) Prec@5 82.812 (82.433)
Epoch: [76][2600/10010] Time 0.407 (0.399) Data 0.000 (0.002) Loss 1.4778 (1.6588) Prec@1 64.844 (61.745) Prec@5 84.375 (82.427)
Epoch: [76][2800/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 1.4083 (1.6593) Prec@1 72.656 (61.730) Prec@5 82.812 (82.425)
Epoch: [76][3000/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 1.6715 (1.6593) Prec@1 63.281 (61.740) Prec@5 86.719 (82.432)
Epoch: [76][3200/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 1.9843 (1.6595) Prec@1 58.594 (61.734) Prec@5 74.219 (82.443)
Epoch: [76][3400/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 1.6204 (1.6589) Prec@1 62.500 (61.756) Prec@5 85.938 (82.449)
Epoch: [76][3600/10010] Time 0.407 (0.399) Data 0.000 (0.002) Loss 1.7288 (1.6598) Prec@1 57.812 (61.758) Prec@5 81.250 (82.443)
Epoch: [76][3800/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 1.8407 (1.6615) Prec@1 61.719 (61.728) Prec@5 79.688 (82.424)
Epoch: [76][4000/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 1.4181 (1.6604) Prec@1 68.750 (61.740) Prec@5 85.938 (82.440)
Epoch: [76][4200/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 1.9233 (1.6609) Prec@1 57.812 (61.727) Prec@5 81.250 (82.436)
Epoch: [76][4400/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 1.6492 (1.6605) Prec@1 64.062 (61.732) Prec@5 83.594 (82.444)
Epoch: [76][4600/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 1.6095 (1.6600) Prec@1 66.406 (61.734) Prec@5 82.812 (82.453)
Epoch: [76][4800/10010] Time 0.391 (0.399) Data 0.001 (0.001) Loss 1.7406 (1.6608) Prec@1 60.156 (61.733) Prec@5 82.812 (82.432)
Epoch: [76][5000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.6775 (1.6620) Prec@1 57.031 (61.723) Prec@5 82.031 (82.414)
Epoch: [76][5200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.4457 (1.6632) Prec@1 67.969 (61.705) Prec@5 84.375 (82.387)
Epoch: [76][5400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.9158 (1.6637) Prec@1 60.156 (61.695) Prec@5 82.031 (82.385)
Epoch: [76][5600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.2924 (1.6637) Prec@1 70.312 (61.698) Prec@5 86.719 (82.379)
Epoch: [76][5800/10010] Time 0.422 (0.399) Data 0.000 (0.001) Loss 1.9647 (1.6634) Prec@1 53.906 (61.703) Prec@5 77.344 (82.385)
Epoch: [76][6000/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 1.4939 (1.6644) Prec@1 65.625 (61.685) Prec@5 85.156 (82.374)
Epoch: [76][6200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.5481 (1.6631) Prec@1 62.500 (61.708) Prec@5 85.938 (82.388)
Epoch: [76][6400/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.5286 (1.6633) Prec@1 64.062 (61.706) Prec@5 83.594 (82.393)
Epoch: [76][6600/10010] Time 0.403 (0.399) Data 0.001 (0.001) Loss 1.8444 (1.6633) Prec@1 54.688 (61.715) Prec@5 78.906 (82.395)
Epoch: [76][6800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.8797 (1.6630) Prec@1 56.250 (61.711) Prec@5 77.344 (82.404)
Epoch: [76][7000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.8004 (1.6634) Prec@1 62.500 (61.707) Prec@5 79.688 (82.392)
Epoch: [76][7200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.9219 (1.6641) Prec@1 55.469 (61.710) Prec@5 80.469 (82.383)
Epoch: [76][7400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.9134 (1.6642) Prec@1 60.156 (61.714) Prec@5 82.031 (82.381)
Epoch: [76][7600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.3524 (1.6639) Prec@1 64.844 (61.716) Prec@5 86.719 (82.388)
Epoch: [76][7800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.3927 (1.6640) Prec@1 64.062 (61.715) Prec@5 89.062 (82.386)
Epoch: [76][8000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.4586 (1.6639) Prec@1 67.188 (61.725) Prec@5 85.938 (82.388)
Epoch: [76][8200/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.9366 (1.6643) Prec@1 55.469 (61.717) Prec@5 78.906 (82.382)
Epoch: [76][8400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.5471 (1.6644) Prec@1 62.500 (61.713) Prec@5 86.719 (82.381)
Epoch: [76][8600/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.6884 (1.6646) Prec@1 57.031 (61.712) Prec@5 78.906 (82.378)
Epoch: [76][8800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.5784 (1.6640) Prec@1 61.719 (61.723) Prec@5 83.594 (82.385)
Epoch: [76][9000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.4848 (1.6645) Prec@1 64.844 (61.722) Prec@5 83.594 (82.374)
Epoch: [76][9200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.7440 (1.6646) Prec@1 60.938 (61.721) Prec@5 85.156 (82.371)
Epoch: [76][9400/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.5427 (1.6646) Prec@1 66.406 (61.723) Prec@5 85.156 (82.367)
Epoch: [76][9600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.8364 (1.6647) Prec@1 61.719 (61.723) Prec@5 78.906 (82.362)
Epoch: [76][9800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.6763 (1.6647) Prec@1 60.938 (61.723) Prec@5 84.375 (82.359)
Epoch: [76][10000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.6590 (1.6648) Prec@1 63.281 (61.725) Prec@5 82.812 (82.357)
Test: [0/391] Time 4.677 (4.677) Loss 0.7143 (0.7143) Prec@1 86.719 (86.719) Prec@5 92.969 (92.969)
Test: [200/391] Time 0.146 (0.257) Loss 1.6311 (1.1921) Prec@1 55.469 (70.079) Prec@5 83.594 (89.968)
* Prec@1 65.652 Prec@5 86.656 Loss@ 1.418
==>>[2018-06-24 03:29:42] [Epoch=077/150] [Need: 82:52:06] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.85/86.66, Error=34.15/13.34]
Epoch: [77][0/10010] Time 5.105 (5.105) Data 4.947 (4.947) Loss 1.7063 (1.7063) Prec@1 64.062 (64.062) Prec@5 83.594 (83.594)
Epoch: [77][200/10010] Time 0.404 (0.422) Data 0.000 (0.025) Loss 1.6370 (1.6441) Prec@1 64.062 (62.088) Prec@5 85.156 (82.743)
Epoch: [77][400/10010] Time 0.396 (0.410) Data 0.000 (0.013) Loss 1.9661 (1.6415) Prec@1 56.250 (61.993) Prec@5 82.812 (82.729)
Epoch: [77][600/10010] Time 0.399 (0.406) Data 0.000 (0.009) Loss 1.8162 (1.6443) Prec@1 59.375 (62.078) Prec@5 82.031 (82.679)
Epoch: [77][800/10010] Time 0.392 (0.404) Data 0.000 (0.007) Loss 1.9032 (1.6531) Prec@1 60.156 (61.912) Prec@5 80.469 (82.543)
Epoch: [77][1000/10010] Time 0.396 (0.403) Data 0.000 (0.005) Loss 1.4538 (1.6553) Prec@1 60.938 (61.909) Prec@5 82.812 (82.535)
Epoch: [77][1200/10010] Time 0.404 (0.402) Data 0.000 (0.005) Loss 1.8210 (1.6544) Prec@1 63.281 (61.914) Prec@5 78.906 (82.518)
Epoch: [77][1400/10010] Time 0.392 (0.402) Data 0.000 (0.004) Loss 1.7692 (1.6546) Prec@1 60.156 (61.877) Prec@5 78.906 (82.472)
Epoch: [77][1600/10010] Time 0.398 (0.401) Data 0.000 (0.004) Loss 2.0086 (1.6560) Prec@1 56.250 (61.856) Prec@5 75.781 (82.442)
Epoch: [77][1800/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 1.5050 (1.6551) Prec@1 62.500 (61.896) Prec@5 84.375 (82.454)
Epoch: [77][2000/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.3161 (1.6556) Prec@1 69.531 (61.902) Prec@5 83.594 (82.456)
Epoch: [77][2200/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.5745 (1.6548) Prec@1 64.844 (61.926) Prec@5 80.469 (82.490)
Epoch: [77][2400/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 1.9119 (1.6579) Prec@1 59.375 (61.860) Prec@5 76.562 (82.437)
Epoch: [77][2600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.9446 (1.6579) Prec@1 58.594 (61.873) Prec@5 81.250 (82.451)
Epoch: [77][2800/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.5512 (1.6573) Prec@1 64.062 (61.869) Prec@5 83.594 (82.475)
Epoch: [77][3000/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 1.8776 (1.6568) Prec@1 60.156 (61.877) Prec@5 76.562 (82.468)
Epoch: [77][3200/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 1.8734 (1.6569) Prec@1 56.250 (61.904) Prec@5 77.344 (82.468)
Epoch: [77][3400/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 1.6039 (1.6582) Prec@1 61.719 (61.884) Prec@5 82.812 (82.446)
Epoch: [77][3600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.3303 (1.6589) Prec@1 67.969 (61.870) Prec@5 87.500 (82.434)
Epoch: [77][3800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.4124 (1.6583) Prec@1 68.750 (61.874) Prec@5 87.500 (82.442)
Epoch: [77][4000/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.5938 (1.6587) Prec@1 64.062 (61.855) Prec@5 83.594 (82.433)
Epoch: [77][4200/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.7622 (1.6588) Prec@1 58.594 (61.846) Prec@5 81.250 (82.442)
Epoch: [77][4400/10010] Time 0.391 (0.400) Data 0.000 (0.002) Loss 1.9449 (1.6585) Prec@1 53.125 (61.841) Prec@5 76.562 (82.443)
Epoch: [77][4600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.9477 (1.6585) Prec@1 57.812 (61.862) Prec@5 78.906 (82.441)
Epoch: [77][4800/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.7105 (1.6583) Prec@1 61.719 (61.882) Prec@5 86.719 (82.447)
Epoch: [77][5000/10010] Time 0.388 (0.399) Data 0.001 (0.001) Loss 1.7125 (1.6589) Prec@1 55.469 (61.867) Prec@5 85.156 (82.443)
Epoch: [77][5200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.8524 (1.6589) Prec@1 62.500 (61.880) Prec@5 78.906 (82.439)
Epoch: [77][5400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.5902 (1.6592) Prec@1 59.375 (61.861) Prec@5 82.812 (82.438)
Epoch: [77][5600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.9299 (1.6593) Prec@1 53.906 (61.856) Prec@5 80.469 (82.431)
Epoch: [77][5800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7248 (1.6591) Prec@1 59.375 (61.864) Prec@5 82.812 (82.432)
Epoch: [77][6000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.5276 (1.6593) Prec@1 61.719 (61.856) Prec@5 82.031 (82.427)
Epoch: [77][6200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6598 (1.6588) Prec@1 63.281 (61.862) Prec@5 81.250 (82.426)
Epoch: [77][6400/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 1.4777 (1.6588) Prec@1 64.844 (61.856) Prec@5 81.250 (82.427)
Epoch: [77][6600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.5473 (1.6596) Prec@1 69.531 (61.849) Prec@5 84.375 (82.420)
Epoch: [77][6800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.3700 (1.6603) Prec@1 64.844 (61.830) Prec@5 87.500 (82.409)
Epoch: [77][7000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.7289 (1.6601) Prec@1 62.500 (61.831) Prec@5 81.250 (82.412)
Epoch: [77][7200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.4726 (1.6596) Prec@1 70.312 (61.830) Prec@5 85.938 (82.429)
Epoch: [77][7400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.7963 (1.6598) Prec@1 52.344 (61.834) Prec@5 84.375 (82.422)
Epoch: [77][7600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.7306 (1.6606) Prec@1 57.031 (61.829) Prec@5 79.688 (82.410)
Epoch: [77][7800/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 1.6609 (1.6605) Prec@1 64.844 (61.834) Prec@5 79.688 (82.411)
Epoch: [77][8000/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 1.5853 (1.6607) Prec@1 61.719 (61.828) Prec@5 83.594 (82.408)
Epoch: [77][8200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.5782 (1.6609) Prec@1 68.750 (61.821) Prec@5 86.719 (82.404)
Epoch: [77][8400/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 1.7861 (1.6606) Prec@1 61.719 (61.838) Prec@5 78.906 (82.412)
Epoch: [77][8600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.8098 (1.6608) Prec@1 60.938 (61.828) Prec@5 78.125 (82.410)
Epoch: [77][8800/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 1.8922 (1.6611) Prec@1 62.500 (61.822) Prec@5 77.344 (82.408)
Epoch: [77][9000/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 1.7725 (1.6610) Prec@1 58.594 (61.822) Prec@5 81.250 (82.416)
Epoch: [77][9200/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.5297 (1.6609) Prec@1 67.188 (61.812) Prec@5 85.156 (82.417)
Epoch: [77][9400/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.7424 (1.6613) Prec@1 59.375 (61.806) Prec@5 81.250 (82.413)
Epoch: [77][9600/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 1.8130 (1.6619) Prec@1 59.375 (61.805) Prec@5 77.344 (82.405)
Epoch: [77][9800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.4232 (1.6618) Prec@1 67.188 (61.799) Prec@5 86.719 (82.406)
Epoch: [77][10000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.3992 (1.6622) Prec@1 61.719 (61.788) Prec@5 86.719 (82.400)
Test: [0/391] Time 4.807 (4.807) Loss 0.7413 (0.7413) Prec@1 82.812 (82.812) Prec@5 93.750 (93.750)
Test: [200/391] Time 0.172 (0.249) Loss 1.5660 (1.1868) Prec@1 60.156 (70.068) Prec@5 83.594 (90.007)
* Prec@1 65.852 Prec@5 86.652 Loss@ 1.410
==>>[2018-06-24 04:37:55] [Epoch=078/150] [Need: 81:51:07] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.85/86.66, Error=34.15/13.34]
Epoch: [78][0/10010] Time 4.271 (4.271) Data 4.112 (4.112) Loss 1.5085 (1.5085) Prec@1 59.375 (59.375) Prec@5 83.594 (83.594)
Epoch: [78][200/10010] Time 0.403 (0.418) Data 0.000 (0.023) Loss 1.4851 (1.6380) Prec@1 62.500 (62.271) Prec@5 87.500 (82.661)
Epoch: [78][400/10010] Time 0.396 (0.408) Data 0.000 (0.012) Loss 1.5741 (1.6312) Prec@1 60.156 (62.340) Prec@5 84.375 (82.719)
Epoch: [78][600/10010] Time 0.394 (0.405) Data 0.000 (0.008) Loss 1.8285 (1.6281) Prec@1 57.031 (62.464) Prec@5 76.562 (82.818)
Epoch: [78][800/10010] Time 0.398 (0.403) Data 0.000 (0.006) Loss 1.6128 (1.6357) Prec@1 58.594 (62.346) Prec@5 82.031 (82.737)
Epoch: [78][1000/10010] Time 0.393 (0.402) Data 0.000 (0.005) Loss 1.5783 (1.6311) Prec@1 61.719 (62.406) Prec@5 85.938 (82.771)
Epoch: [78][1200/10010] Time 0.395 (0.402) Data 0.000 (0.004) Loss 2.2205 (1.6343) Prec@1 55.469 (62.327) Prec@5 72.656 (82.702)
Epoch: [78][1400/10010] Time 0.412 (0.401) Data 0.000 (0.004) Loss 1.5223 (1.6370) Prec@1 65.625 (62.285) Prec@5 81.250 (82.688)
Epoch: [78][1600/10010] Time 0.397 (0.401) Data 0.001 (0.003) Loss 1.7959 (1.6410) Prec@1 54.688 (62.233) Prec@5 80.469 (82.664)
Epoch: [78][1800/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 1.7301 (1.6432) Prec@1 67.188 (62.187) Prec@5 81.250 (82.658)
Epoch: [78][2000/10010] Time 0.400 (0.400) Data 0.000 (0.003) Loss 1.4251 (1.6451) Prec@1 70.312 (62.112) Prec@5 85.156 (82.629)
Epoch: [78][2200/10010] Time 0.401 (0.400) Data 0.000 (0.003) Loss 1.4613 (1.6459) Prec@1 67.969 (62.078) Prec@5 82.812 (82.607)
Epoch: [78][2400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.7261 (1.6485) Prec@1 62.500 (62.033) Prec@5 82.812 (82.559)
Epoch: [78][2600/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 1.7856 (1.6506) Prec@1 58.594 (61.989) Prec@5 85.156 (82.531)
Epoch: [78][2800/10010] Time 0.400 (0.400) Data 0.001 (0.002) Loss 1.4281 (1.6512) Prec@1 65.625 (61.996) Prec@5 83.594 (82.525)
Epoch: [78][3000/10010] Time 0.411 (0.400) Data 0.000 (0.002) Loss 1.6971 (1.6519) Prec@1 65.625 (62.007) Prec@5 82.812 (82.536)
Epoch: [78][3200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.6745 (1.6517) Prec@1 60.938 (62.008) Prec@5 79.688 (82.534)
Epoch: [78][3400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.4727 (1.6516) Prec@1 64.062 (62.020) Prec@5 83.594 (82.540)
Epoch: [78][3600/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 1.7476 (1.6520) Prec@1 58.594 (62.014) Prec@5 78.906 (82.516)
Epoch: [78][3800/10010] Time 0.409 (0.400) Data 0.000 (0.002) Loss 1.5979 (1.6523) Prec@1 62.500 (61.995) Prec@5 82.812 (82.512)
Epoch: [78][4000/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.7393 (1.6529) Prec@1 62.500 (61.962) Prec@5 80.469 (82.512)
Epoch: [78][4200/10010] Time 0.407 (0.399) Data 0.000 (0.002) Loss 1.8561 (1.6539) Prec@1 57.812 (61.949) Prec@5 80.469 (82.492)
Epoch: [78][4400/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 1.6719 (1.6539) Prec@1 59.375 (61.945) Prec@5 82.812 (82.489)
Epoch: [78][4600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.5431 (1.6545) Prec@1 65.625 (61.930) Prec@5 82.031 (82.484)
Epoch: [78][4800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.2908 (1.6554) Prec@1 67.188 (61.904) Prec@5 83.594 (82.473)
Epoch: [78][5000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.9840 (1.6563) Prec@1 55.469 (61.889) Prec@5 78.906 (82.456)
Epoch: [78][5200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.5262 (1.6564) Prec@1 65.625 (61.878) Prec@5 81.250 (82.449)
Epoch: [78][5400/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.7019 (1.6565) Prec@1 60.938 (61.885) Prec@5 80.469 (82.439)
Epoch: [78][5600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.7093 (1.6561) Prec@1 57.031 (61.895) Prec@5 78.125 (82.442)
Epoch: [78][5800/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.8802 (1.6562) Prec@1 60.938 (61.893) Prec@5 82.812 (82.437)
Epoch: [78][6000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.3808 (1.6560) Prec@1 67.188 (61.894) Prec@5 85.938 (82.448)
Epoch: [78][6200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.0202 (1.6558) Prec@1 53.125 (61.894) Prec@5 77.344 (82.453)
Epoch: [78][6400/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 1.8371 (1.6556) Prec@1 59.375 (61.888) Prec@5 75.781 (82.458)
Epoch: [78][6600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.5112 (1.6556) Prec@1 61.719 (61.898) Prec@5 82.031 (82.462)
Epoch: [78][6800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.6459 (1.6553) Prec@1 60.938 (61.901) Prec@5 83.594 (82.463)
Epoch: [78][7000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.6128 (1.6559) Prec@1 60.938 (61.887) Prec@5 81.250 (82.463)
Epoch: [78][7200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.5804 (1.6555) Prec@1 60.156 (61.896) Prec@5 84.375 (82.471)
Epoch: [78][7400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.9375 (1.6560) Prec@1 58.594 (61.890) Prec@5 78.125 (82.455)
Epoch: [78][7600/10010] Time 0.406 (0.399) Data 0.001 (0.001) Loss 1.3819 (1.6564) Prec@1 69.531 (61.886) Prec@5 87.500 (82.449)
Epoch: [78][7800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7510 (1.6562) Prec@1 53.906 (61.881) Prec@5 81.250 (82.453)
Epoch: [78][8000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.8080 (1.6561) Prec@1 57.812 (61.884) Prec@5 82.812 (82.451)
Epoch: [78][8200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.5748 (1.6564) Prec@1 62.500 (61.873) Prec@5 81.250 (82.444)
Epoch: [78][8400/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 1.9015 (1.6565) Prec@1 60.938 (61.872) Prec@5 80.469 (82.449)
Epoch: [78][8600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.8778 (1.6575) Prec@1 57.031 (61.865) Prec@5 81.250 (82.434)
Epoch: [78][8800/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.4411 (1.6573) Prec@1 66.406 (61.874) Prec@5 82.812 (82.432)
Epoch: [78][9000/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.8394 (1.6573) Prec@1 52.344 (61.868) Prec@5 83.594 (82.434)
Epoch: [78][9200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.7916 (1.6580) Prec@1 57.031 (61.854) Prec@5 83.594 (82.427)
Epoch: [78][9400/10010] Time 0.406 (0.399) Data 0.001 (0.001) Loss 1.3850 (1.6581) Prec@1 67.188 (61.856) Prec@5 83.594 (82.422)
Epoch: [78][9600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5480 (1.6585) Prec@1 60.156 (61.848) Prec@5 83.594 (82.416)
Epoch: [78][9800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5580 (1.6583) Prec@1 65.625 (61.855) Prec@5 85.156 (82.419)
Epoch: [78][10000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.7960 (1.6586) Prec@1 57.812 (61.850) Prec@5 79.688 (82.417)
Test: [0/391] Time 4.548 (4.548) Loss 0.7453 (0.7453) Prec@1 83.594 (83.594) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.159 (0.251) Loss 1.5149 (1.1872) Prec@1 59.375 (70.044) Prec@5 86.719 (90.011)
* Prec@1 65.774 Prec@5 86.650 Loss@ 1.413
==>>[2018-06-24 05:46:04] [Epoch=079/150] [Need: 80:38:28] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.85/86.66, Error=34.15/13.34]
Epoch: [79][0/10010] Time 4.611 (4.611) Data 4.452 (4.452) Loss 1.5867 (1.5867) Prec@1 65.625 (65.625) Prec@5 85.156 (85.156)
Epoch: [79][200/10010] Time 0.405 (0.420) Data 0.000 (0.023) Loss 1.3141 (1.6311) Prec@1 66.406 (62.018) Prec@5 90.625 (82.879)
Epoch: [79][400/10010] Time 0.397 (0.409) Data 0.001 (0.012) Loss 1.4833 (1.6412) Prec@1 59.375 (61.966) Prec@5 84.375 (82.625)
Epoch: [79][600/10010] Time 0.406 (0.406) Data 0.000 (0.008) Loss 2.1055 (1.6413) Prec@1 50.781 (62.153) Prec@5 75.000 (82.623)
Epoch: [79][800/10010] Time 0.395 (0.404) Data 0.000 (0.006) Loss 1.4592 (1.6369) Prec@1 64.844 (62.243) Prec@5 84.375 (82.654)
Epoch: [79][1000/10010] Time 0.403 (0.403) Data 0.000 (0.005) Loss 1.6663 (1.6416) Prec@1 64.062 (62.199) Prec@5 85.156 (82.560)
Epoch: [79][1200/10010] Time 0.408 (0.402) Data 0.000 (0.004) Loss 1.6113 (1.6441) Prec@1 60.938 (62.115) Prec@5 81.250 (82.609)
Epoch: [79][1400/10010] Time 0.396 (0.402) Data 0.000 (0.004) Loss 1.3125 (1.6449) Prec@1 67.969 (62.077) Prec@5 88.281 (82.633)
Epoch: [79][1600/10010] Time 0.397 (0.402) Data 0.000 (0.003) Loss 1.5958 (1.6470) Prec@1 60.938 (62.061) Prec@5 84.375 (82.598)
Epoch: [79][1800/10010] Time 0.397 (0.401) Data 0.001 (0.003) Loss 1.5365 (1.6485) Prec@1 64.062 (62.024) Prec@5 86.719 (82.571)
Epoch: [79][2000/10010] Time 0.401 (0.401) Data 0.000 (0.003) Loss 1.8201 (1.6487) Prec@1 56.250 (62.043) Prec@5 82.031 (82.563)
Epoch: [79][2200/10010] Time 0.393 (0.401) Data 0.000 (0.002) Loss 1.5345 (1.6474) Prec@1 66.406 (62.041) Prec@5 82.812 (82.586)
Epoch: [79][2400/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 1.5130 (1.6459) Prec@1 62.500 (62.075) Prec@5 86.719 (82.597)
Epoch: [79][2600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.6921 (1.6481) Prec@1 59.375 (62.035) Prec@5 83.594 (82.583)
Epoch: [79][2800/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.7602 (1.6491) Prec@1 61.719 (62.024) Prec@5 84.375 (82.565)
Epoch: [79][3000/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 1.5746 (1.6487) Prec@1 67.969 (62.028) Prec@5 84.375 (82.560)
Epoch: [79][3200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.9132 (1.6490) Prec@1 59.375 (62.024) Prec@5 80.469 (82.554)
Epoch: [79][3400/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.7935 (1.6497) Prec@1 63.281 (62.038) Prec@5 83.594 (82.543)
Epoch: [79][3600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.3022 (1.6485) Prec@1 63.281 (62.058) Prec@5 87.500 (82.565)
Epoch: [79][3800/10010] Time 0.401 (0.400) Data 0.001 (0.002) Loss 1.6072 (1.6485) Prec@1 60.156 (62.041) Prec@5 79.688 (82.569)
Epoch: [79][4000/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 1.6613 (1.6491) Prec@1 57.812 (62.028) Prec@5 84.375 (82.576)
Epoch: [79][4200/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.6659 (1.6498) Prec@1 60.938 (62.020) Prec@5 81.250 (82.571)
Epoch: [79][4400/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.5573 (1.6496) Prec@1 64.062 (62.015) Prec@5 85.156 (82.571)
Epoch: [79][4600/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.3430 (1.6494) Prec@1 68.750 (62.017) Prec@5 85.156 (82.573)
Epoch: [79][4800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.6716 (1.6499) Prec@1 64.844 (62.008) Prec@5 82.812 (82.566)
Epoch: [79][5000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.1740 (1.6504) Prec@1 71.094 (62.010) Prec@5 89.844 (82.552)
Epoch: [79][5200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.6373 (1.6502) Prec@1 61.719 (62.018) Prec@5 82.812 (82.554)
Epoch: [79][5400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.9774 (1.6502) Prec@1 58.594 (62.015) Prec@5 78.906 (82.557)
Epoch: [79][5600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.5608 (1.6501) Prec@1 65.625 (62.020) Prec@5 85.156 (82.556)
Epoch: [79][5800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.0137 (1.6504) Prec@1 55.469 (62.012) Prec@5 76.562 (82.550)
Epoch: [79][6000/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 1.7637 (1.6500) Prec@1 59.375 (62.006) Prec@5 75.781 (82.554)
Epoch: [79][6200/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.6487 (1.6499) Prec@1 57.812 (62.010) Prec@5 82.812 (82.554)
Epoch: [79][6400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.5346 (1.6499) Prec@1 67.969 (62.018) Prec@5 85.156 (82.545)
Epoch: [79][6600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.5006 (1.6502) Prec@1 59.375 (61.997) Prec@5 85.938 (82.542)
Epoch: [79][6800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.8406 (1.6504) Prec@1 62.500 (61.993) Prec@5 75.781 (82.542)
Epoch: [79][7000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.4784 (1.6504) Prec@1 64.062 (61.992) Prec@5 85.156 (82.535)
Epoch: [79][7200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.3591 (1.6509) Prec@1 71.875 (61.976) Prec@5 85.938 (82.523)
Epoch: [79][7400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.7465 (1.6511) Prec@1 57.812 (61.972) Prec@5 83.594 (82.528)
Epoch: [79][7600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.4966 (1.6508) Prec@1 65.625 (61.967) Prec@5 83.594 (82.532)
Epoch: [79][7800/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 1.6400 (1.6506) Prec@1 63.281 (61.972) Prec@5 82.812 (82.533)
Epoch: [79][8000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.5279 (1.6514) Prec@1 61.719 (61.958) Prec@5 87.500 (82.522)
Epoch: [79][8200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.6230 (1.6514) Prec@1 64.844 (61.958) Prec@5 82.812 (82.525)
Epoch: [79][8400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.6817 (1.6520) Prec@1 58.594 (61.943) Prec@5 81.250 (82.510)
Epoch: [79][8600/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.7367 (1.6520) Prec@1 62.500 (61.940) Prec@5 82.031 (82.509)
Epoch: [79][8800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6073 (1.6518) Prec@1 63.281 (61.946) Prec@5 84.375 (82.515)
Epoch: [79][9000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.6359 (1.6519) Prec@1 66.406 (61.935) Prec@5 84.375 (82.511)
Epoch: [79][9200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6086 (1.6526) Prec@1 57.031 (61.928) Prec@5 84.375 (82.498)
Epoch: [79][9400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.8565 (1.6531) Prec@1 54.688 (61.921) Prec@5 77.344 (82.495)
Epoch: [79][9600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.8287 (1.6531) Prec@1 57.812 (61.923) Prec@5 78.125 (82.492)
Epoch: [79][9800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8883 (1.6532) Prec@1 57.031 (61.924) Prec@5 78.906 (82.486)
Epoch: [79][10000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.5835 (1.6537) Prec@1 66.406 (61.921) Prec@5 82.031 (82.481)
Test: [0/391] Time 4.605 (4.605) Loss 0.7525 (0.7525) Prec@1 81.250 (81.250) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.166 (0.255) Loss 1.4670 (1.1910) Prec@1 64.062 (70.009) Prec@5 85.156 (89.879)
* Prec@1 65.682 Prec@5 86.584 Loss@ 1.416
==>>[2018-06-24 06:54:14] [Epoch=080/150] [Need: 79:32:26] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.85/86.66, Error=34.15/13.34]
Epoch: [80][0/10010] Time 5.781 (5.781) Data 5.631 (5.631) Loss 1.8921 (1.8921) Prec@1 57.812 (57.812) Prec@5 78.125 (78.125)
Epoch: [80][200/10010] Time 0.396 (0.425) Data 0.001 (0.029) Loss 1.6551 (1.6348) Prec@1 60.938 (62.364) Prec@5 78.906 (82.653)
Epoch: [80][400/10010] Time 0.409 (0.412) Data 0.000 (0.015) Loss 1.6493 (1.6250) Prec@1 61.719 (62.518) Prec@5 85.156 (82.703)
Epoch: [80][600/10010] Time 0.402 (0.408) Data 0.000 (0.010) Loss 1.5620 (1.6346) Prec@1 67.969 (62.249) Prec@5 84.375 (82.649)
Epoch: [80][800/10010] Time 0.404 (0.406) Data 0.000 (0.008) Loss 1.5863 (1.6370) Prec@1 63.281 (62.177) Prec@5 84.375 (82.661)
Epoch: [80][1000/10010] Time 0.397 (0.404) Data 0.000 (0.006) Loss 1.8380 (1.6366) Prec@1 56.250 (62.177) Prec@5 80.469 (82.719)
Epoch: [80][1200/10010] Time 0.397 (0.403) Data 0.001 (0.005) Loss 1.8082 (1.6377) Prec@1 60.938 (62.142) Prec@5 82.031 (82.715)
Epoch: [80][1400/10010] Time 0.394 (0.403) Data 0.000 (0.005) Loss 1.5606 (1.6397) Prec@1 63.281 (62.115) Prec@5 84.375 (82.688)
Epoch: [80][1600/10010] Time 0.399 (0.402) Data 0.000 (0.004) Loss 1.6319 (1.6384) Prec@1 64.844 (62.162) Prec@5 82.031 (82.696)
Epoch: [80][1800/10010] Time 0.393 (0.402) Data 0.000 (0.004) Loss 1.3951 (1.6388) Prec@1 64.062 (62.130) Prec@5 84.375 (82.729)
Epoch: [80][2000/10010] Time 0.398 (0.402) Data 0.000 (0.003) Loss 1.9383 (1.6405) Prec@1 53.125 (62.106) Prec@5 77.344 (82.684)
Epoch: [80][2200/10010] Time 0.399 (0.401) Data 0.001 (0.003) Loss 1.6724 (1.6437) Prec@1 61.719 (62.052) Prec@5 82.812 (82.642)
Epoch: [80][2400/10010] Time 0.406 (0.401) Data 0.000 (0.003) Loss 1.8315 (1.6421) Prec@1 60.156 (62.100) Prec@5 82.812 (82.675)
Epoch: [80][2600/10010] Time 0.395 (0.401) Data 0.001 (0.003) Loss 1.6251 (1.6424) Prec@1 60.938 (62.074) Prec@5 82.812 (82.675)
Epoch: [80][2800/10010] Time 0.408 (0.401) Data 0.000 (0.002) Loss 1.6576 (1.6415) Prec@1 60.156 (62.084) Prec@5 80.469 (82.698)
Epoch: [80][3000/10010] Time 0.403 (0.401) Data 0.000 (0.002) Loss 1.8108 (1.6446) Prec@1 59.375 (62.042) Prec@5 82.031 (82.667)
Epoch: [80][3200/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 1.6238 (1.6458) Prec@1 62.500 (62.009) Prec@5 81.250 (82.646)
Epoch: [80][3400/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 1.6930 (1.6474) Prec@1 62.500 (61.965) Prec@5 81.250 (82.614)
Epoch: [80][3600/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 1.5053 (1.6474) Prec@1 61.719 (61.980) Prec@5 85.938 (82.626)
Epoch: [80][3800/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.0257 (1.6470) Prec@1 56.250 (61.996) Prec@5 75.781 (82.644)
Epoch: [80][4000/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 1.7350 (1.6482) Prec@1 59.375 (61.967) Prec@5 82.031 (82.625)
Epoch: [80][4200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.5168 (1.6482) Prec@1 62.500 (61.977) Prec@5 85.156 (82.626)
Epoch: [80][4400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.1724 (1.6493) Prec@1 53.125 (61.947) Prec@5 75.000 (82.612)
Epoch: [80][4600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.6127 (1.6496) Prec@1 62.500 (61.942) Prec@5 80.469 (82.602)
Epoch: [80][4800/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.7134 (1.6501) Prec@1 62.500 (61.944) Prec@5 80.469 (82.595)
Epoch: [80][5000/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.4512 (1.6496) Prec@1 67.188 (61.960) Prec@5 85.156 (82.593)
Epoch: [80][5200/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 1.7097 (1.6491) Prec@1 63.281 (61.967) Prec@5 79.688 (82.590)
Epoch: [80][5400/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.7286 (1.6502) Prec@1 64.844 (61.945) Prec@5 82.031 (82.578)
Epoch: [80][5600/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.5890 (1.6500) Prec@1 64.062 (61.944) Prec@5 80.469 (82.584)
Epoch: [80][5800/10010] Time 0.396 (0.400) Data 0.001 (0.001) Loss 1.2815 (1.6498) Prec@1 67.188 (61.941) Prec@5 88.281 (82.585)
Epoch: [80][6000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.2773 (1.6497) Prec@1 70.312 (61.936) Prec@5 86.719 (82.586)
Epoch: [80][6200/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 1.8635 (1.6500) Prec@1 56.250 (61.931) Prec@5 77.344 (82.577)
Epoch: [80][6400/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.5518 (1.6503) Prec@1 63.281 (61.939) Prec@5 84.375 (82.575)
Epoch: [80][6600/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.9241 (1.6503) Prec@1 60.156 (61.946) Prec@5 78.906 (82.576)
Epoch: [80][6800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.7495 (1.6504) Prec@1 60.938 (61.935) Prec@5 80.469 (82.571)
Epoch: [80][7000/10010] Time 0.394 (0.400) Data 0.001 (0.001) Loss 1.8199 (1.6505) Prec@1 60.156 (61.929) Prec@5 82.812 (82.571)
Epoch: [80][7200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 2.0925 (1.6506) Prec@1 53.125 (61.929) Prec@5 78.906 (82.576)
Epoch: [80][7400/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 1.4524 (1.6507) Prec@1 70.312 (61.944) Prec@5 80.469 (82.575)
Epoch: [80][7600/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 1.8112 (1.6506) Prec@1 57.812 (61.946) Prec@5 82.031 (82.572)
Epoch: [80][7800/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 1.9426 (1.6505) Prec@1 56.250 (61.947) Prec@5 79.688 (82.569)
Epoch: [80][8000/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.3759 (1.6500) Prec@1 71.875 (61.948) Prec@5 87.500 (82.576)
Epoch: [80][8200/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.7178 (1.6501) Prec@1 64.062 (61.946) Prec@5 82.031 (82.573)
Epoch: [80][8400/10010] Time 0.396 (0.400) Data 0.001 (0.001) Loss 1.8774 (1.6507) Prec@1 59.375 (61.943) Prec@5 80.469 (82.559)
Epoch: [80][8600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.8038 (1.6514) Prec@1 60.938 (61.931) Prec@5 82.031 (82.553)
Epoch: [80][8800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.7489 (1.6516) Prec@1 60.938 (61.928) Prec@5 82.031 (82.550)
Epoch: [80][9000/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.7317 (1.6516) Prec@1 61.719 (61.932) Prec@5 80.469 (82.546)
Epoch: [80][9200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.3551 (1.6515) Prec@1 65.625 (61.932) Prec@5 85.938 (82.548)
Epoch: [80][9400/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.6310 (1.6515) Prec@1 64.844 (61.931) Prec@5 78.906 (82.546)
Epoch: [80][9600/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 1.5711 (1.6515) Prec@1 61.719 (61.937) Prec@5 82.031 (82.548)
Epoch: [80][9800/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.7376 (1.6516) Prec@1 60.156 (61.938) Prec@5 79.688 (82.548)
Epoch: [80][10000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.8887 (1.6521) Prec@1 52.344 (61.925) Prec@5 79.688 (82.543)
Test: [0/391] Time 4.558 (4.558) Loss 0.7674 (0.7674) Prec@1 81.250 (81.250) Prec@5 96.094 (96.094)
Test: [200/391] Time 0.138 (0.250) Loss 1.3386 (1.1902) Prec@1 65.625 (70.130) Prec@5 89.062 (90.015)
* Prec@1 65.926 Prec@5 86.762 Loss@ 1.409
==>>[2018-06-24 08:02:28] [Epoch=081/150] [Need: 78:28:04] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.93/86.76, Error=34.07/13.24]
Epoch: [81][0/10010] Time 4.704 (4.704) Data 4.553 (4.553) Loss 1.3805 (1.3805) Prec@1 69.531 (69.531) Prec@5 86.719 (86.719)
Epoch: [81][200/10010] Time 0.407 (0.420) Data 0.000 (0.024) Loss 1.7575 (1.6550) Prec@1 54.688 (61.890) Prec@5 79.688 (82.606)
Epoch: [81][400/10010] Time 0.399 (0.410) Data 0.000 (0.013) Loss 1.4891 (1.6463) Prec@1 65.625 (61.956) Prec@5 83.594 (82.680)
Epoch: [81][600/10010] Time 0.398 (0.407) Data 0.000 (0.008) Loss 1.4348 (1.6438) Prec@1 71.875 (62.066) Prec@5 84.375 (82.681)
Epoch: [81][800/10010] Time 0.395 (0.405) Data 0.000 (0.006) Loss 1.8345 (1.6464) Prec@1 57.031 (62.120) Prec@5 78.125 (82.617)
Epoch: [81][1000/10010] Time 0.399 (0.404) Data 0.001 (0.005) Loss 1.6402 (1.6480) Prec@1 60.938 (62.103) Prec@5 80.469 (82.550)
Epoch: [81][1200/10010] Time 0.401 (0.403) Data 0.000 (0.004) Loss 1.6842 (1.6470) Prec@1 62.500 (62.080) Prec@5 81.250 (82.596)
Epoch: [81][1400/10010] Time 0.402 (0.402) Data 0.000 (0.004) Loss 1.6802 (1.6478) Prec@1 64.062 (62.014) Prec@5 85.156 (82.594)
Epoch: [81][1600/10010] Time 0.397 (0.402) Data 0.000 (0.003) Loss 1.3109 (1.6476) Prec@1 65.625 (62.018) Prec@5 88.281 (82.560)
Epoch: [81][1800/10010] Time 0.398 (0.402) Data 0.001 (0.003) Loss 1.4139 (1.6470) Prec@1 63.281 (62.028) Prec@5 88.281 (82.565)
Epoch: [81][2000/10010] Time 0.399 (0.401) Data 0.001 (0.003) Loss 2.0357 (1.6488) Prec@1 50.000 (62.028) Prec@5 75.781 (82.543)
Epoch: [81][2200/10010] Time 0.397 (0.401) Data 0.000 (0.003) Loss 1.8832 (1.6491) Prec@1 59.375 (62.017) Prec@5 83.594 (82.548)
Epoch: [81][2400/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 1.7683 (1.6493) Prec@1 67.188 (62.014) Prec@5 78.906 (82.538)
Epoch: [81][2600/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 1.5871 (1.6485) Prec@1 63.281 (62.014) Prec@5 82.812 (82.561)
Epoch: [81][2800/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 1.6498 (1.6487) Prec@1 64.844 (62.016) Prec@5 82.812 (82.574)
Epoch: [81][3000/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 1.6929 (1.6498) Prec@1 59.375 (62.003) Prec@5 77.344 (82.544)
Epoch: [81][3200/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 1.4275 (1.6493) Prec@1 63.281 (61.988) Prec@5 85.938 (82.558)
Epoch: [81][3400/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.5824 (1.6491) Prec@1 65.625 (61.998) Prec@5 85.938 (82.558)
Epoch: [81][3600/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 1.5799 (1.6494) Prec@1 62.500 (62.001) Prec@5 85.156 (82.558)
Epoch: [81][3800/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.9983 (1.6486) Prec@1 57.031 (62.015) Prec@5 78.125 (82.572)
Epoch: [81][4000/10010] Time 0.405 (0.400) Data 0.001 (0.002) Loss 1.4455 (1.6478) Prec@1 67.188 (62.033) Prec@5 85.156 (82.585)
Epoch: [81][4200/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 1.5020 (1.6475) Prec@1 64.062 (62.038) Prec@5 86.719 (82.585)
Epoch: [81][4400/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.4160 (1.6476) Prec@1 67.188 (62.033) Prec@5 89.062 (82.593)
Epoch: [81][4600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.7361 (1.6479) Prec@1 57.031 (62.036) Prec@5 82.031 (82.595)
Epoch: [81][4800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.7153 (1.6483) Prec@1 60.156 (62.040) Prec@5 79.688 (82.586)
Epoch: [81][5000/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 1.9197 (1.6482) Prec@1 61.719 (62.046) Prec@5 76.562 (82.582)
Epoch: [81][5200/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.5743 (1.6482) Prec@1 60.938 (62.048) Prec@5 83.594 (82.581)
Epoch: [81][5400/10010] Time 0.395 (0.400) Data 0.001 (0.001) Loss 1.7016 (1.6477) Prec@1 60.156 (62.061) Prec@5 82.812 (82.591)
Epoch: [81][5600/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 1.5572 (1.6477) Prec@1 68.750 (62.056) Prec@5 85.156 (82.586)
Epoch: [81][5800/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.7441 (1.6475) Prec@1 56.250 (62.067) Prec@5 78.906 (82.582)
Epoch: [81][6000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.4000 (1.6472) Prec@1 67.188 (62.078) Prec@5 85.156 (82.579)
Epoch: [81][6200/10010] Time 0.394 (0.400) Data 0.001 (0.001) Loss 1.5812 (1.6471) Prec@1 59.375 (62.077) Prec@5 85.156 (82.587)
Epoch: [81][6400/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.5933 (1.6470) Prec@1 64.062 (62.068) Prec@5 82.812 (82.595)
Epoch: [81][6600/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.5719 (1.6475) Prec@1 60.938 (62.059) Prec@5 82.031 (82.588)
Epoch: [81][6800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.1699 (1.6473) Prec@1 54.688 (62.071) Prec@5 75.000 (82.592)
Epoch: [81][7000/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.4701 (1.6478) Prec@1 64.062 (62.057) Prec@5 86.719 (82.582)
Epoch: [81][7200/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 1.9874 (1.6481) Prec@1 51.562 (62.047) Prec@5 81.250 (82.575)
Epoch: [81][7400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.6282 (1.6477) Prec@1 65.625 (62.056) Prec@5 85.156 (82.588)
Epoch: [81][7600/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.7147 (1.6483) Prec@1 67.188 (62.040) Prec@5 78.125 (82.580)
Epoch: [81][7800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.5005 (1.6482) Prec@1 68.750 (62.044) Prec@5 78.906 (82.583)
Epoch: [81][8000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.5844 (1.6487) Prec@1 65.625 (62.028) Prec@5 82.812 (82.577)
Epoch: [81][8200/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.4827 (1.6486) Prec@1 67.188 (62.020) Prec@5 85.156 (82.582)
Epoch: [81][8400/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 1.7720 (1.6486) Prec@1 59.375 (62.023) Prec@5 81.250 (82.582)
Epoch: [81][8600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.8640 (1.6489) Prec@1 59.375 (62.019) Prec@5 79.688 (82.582)
Epoch: [81][8800/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 1.8229 (1.6492) Prec@1 60.156 (62.009) Prec@5 75.000 (82.575)
Epoch: [81][9000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.8209 (1.6490) Prec@1 56.250 (62.011) Prec@5 79.688 (82.585)
Epoch: [81][9200/10010] Time 0.409 (0.400) Data 0.000 (0.001) Loss 1.5123 (1.6491) Prec@1 67.969 (62.009) Prec@5 82.812 (82.586)
Epoch: [81][9400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.4837 (1.6493) Prec@1 67.188 (62.007) Prec@5 82.031 (82.580)
Epoch: [81][9600/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.7869 (1.6494) Prec@1 59.375 (62.004) Prec@5 81.250 (82.581)
Epoch: [81][9800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.4609 (1.6496) Prec@1 60.156 (62.004) Prec@5 85.156 (82.579)
Epoch: [81][10000/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.3791 (1.6497) Prec@1 68.750 (62.004) Prec@5 88.281 (82.579)
Test: [0/391] Time 4.767 (4.767) Loss 0.6458 (0.6458) Prec@1 83.594 (83.594) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.143 (0.246) Loss 1.5019 (1.1938) Prec@1 60.156 (70.056) Prec@5 86.719 (89.984)
* Prec@1 65.642 Prec@5 86.642 Loss@ 1.420
==>>[2018-06-24 09:10:43] [Epoch=082/150] [Need: 77:20:06] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.93/86.76, Error=34.07/13.24]
Epoch: [82][0/10010] Time 4.651 (4.651) Data 4.501 (4.501) Loss 1.9812 (1.9812) Prec@1 56.250 (56.250) Prec@5 78.906 (78.906)
Epoch: [82][200/10010] Time 0.394 (0.420) Data 0.000 (0.025) Loss 1.4754 (1.6390) Prec@1 65.625 (62.034) Prec@5 85.156 (82.673)
Epoch: [82][400/10010] Time 0.410 (0.410) Data 0.000 (0.013) Loss 1.6567 (1.6426) Prec@1 57.031 (62.073) Prec@5 84.375 (82.705)
Epoch: [82][600/10010] Time 0.400 (0.406) Data 0.000 (0.009) Loss 1.6484 (1.6374) Prec@1 60.156 (62.217) Prec@5 84.375 (82.749)
Epoch: [82][800/10010] Time 0.408 (0.404) Data 0.000 (0.007) Loss 1.7535 (1.6402) Prec@1 58.594 (62.184) Prec@5 81.250 (82.684)
Epoch: [82][1000/10010] Time 0.394 (0.403) Data 0.001 (0.005) Loss 1.6098 (1.6393) Prec@1 60.156 (62.170) Prec@5 85.156 (82.736)
Epoch: [82][1200/10010] Time 0.396 (0.403) Data 0.000 (0.005) Loss 1.8969 (1.6421) Prec@1 56.250 (62.106) Prec@5 79.688 (82.672)
Epoch: [82][1400/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 1.4059 (1.6395) Prec@1 64.062 (62.220) Prec@5 85.938 (82.689)
Epoch: [82][1600/10010] Time 0.397 (0.402) Data 0.000 (0.003) Loss 1.8777 (1.6420) Prec@1 55.469 (62.184) Prec@5 82.031 (82.679)
Epoch: [82][1800/10010] Time 0.409 (0.401) Data 0.000 (0.003) Loss 1.7444 (1.6428) Prec@1 60.156 (62.143) Prec@5 80.469 (82.674)
Epoch: [82][2000/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.5606 (1.6416) Prec@1 66.406 (62.156) Prec@5 85.156 (82.673)
Epoch: [82][2200/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 1.9549 (1.6429) Prec@1 57.812 (62.119) Prec@5 78.906 (82.636)
Epoch: [82][2400/10010] Time 0.400 (0.401) Data 0.000 (0.002) Loss 1.3145 (1.6420) Prec@1 60.938 (62.102) Prec@5 89.062 (82.663)
Epoch: [82][2600/10010] Time 0.398 (0.401) Data 0.000 (0.002) Loss 1.3480 (1.6420) Prec@1 66.406 (62.140) Prec@5 89.844 (82.650)
Epoch: [82][2800/10010] Time 0.404 (0.401) Data 0.000 (0.002) Loss 1.7714 (1.6405) Prec@1 59.375 (62.172) Prec@5 81.250 (82.681)
Epoch: [82][3000/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.4361 (1.6404) Prec@1 66.406 (62.163) Prec@5 82.812 (82.686)
Epoch: [82][3200/10010] Time 0.408 (0.400) Data 0.000 (0.002) Loss 1.8376 (1.6408) Prec@1 61.719 (62.143) Prec@5 82.031 (82.674)
Epoch: [82][3400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.6364 (1.6412) Prec@1 64.062 (62.137) Prec@5 78.125 (82.672)
Epoch: [82][3600/10010] Time 0.392 (0.400) Data 0.000 (0.002) Loss 1.6419 (1.6423) Prec@1 66.406 (62.113) Prec@5 82.812 (82.654)
Epoch: [82][3800/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 1.6612 (1.6438) Prec@1 64.844 (62.071) Prec@5 84.375 (82.638)
Epoch: [82][4000/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.3661 (1.6453) Prec@1 64.844 (62.045) Prec@5 85.938 (82.614)
Epoch: [82][4200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.4880 (1.6436) Prec@1 67.188 (62.085) Prec@5 83.594 (82.625)
Epoch: [82][4400/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.4952 (1.6442) Prec@1 67.188 (62.082) Prec@5 84.375 (82.601)
Epoch: [82][4600/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.8770 (1.6445) Prec@1 59.375 (62.070) Prec@5 78.125 (82.593)
Epoch: [82][4800/10010] Time 0.389 (0.400) Data 0.000 (0.001) Loss 1.4403 (1.6445) Prec@1 64.844 (62.078) Prec@5 85.156 (82.587)
Epoch: [82][5000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.4353 (1.6450) Prec@1 66.406 (62.067) Prec@5 84.375 (82.579)
Epoch: [82][5200/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.6226 (1.6448) Prec@1 58.594 (62.065) Prec@5 82.031 (82.593)
Epoch: [82][5400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.8740 (1.6458) Prec@1 57.031 (62.049) Prec@5 78.906 (82.579)
Epoch: [82][5600/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.5547 (1.6455) Prec@1 61.719 (62.056) Prec@5 85.156 (82.580)
Epoch: [82][5800/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.4760 (1.6453) Prec@1 64.844 (62.061) Prec@5 84.375 (82.579)
Epoch: [82][6000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.3155 (1.6459) Prec@1 64.844 (62.051) Prec@5 89.062 (82.577)
Epoch: [82][6200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.4936 (1.6459) Prec@1 62.500 (62.041) Prec@5 84.375 (82.585)
Epoch: [82][6400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.4792 (1.6458) Prec@1 66.406 (62.048) Prec@5 82.812 (82.587)
Epoch: [82][6600/10010] Time 0.396 (0.400) Data 0.001 (0.001) Loss 1.7349 (1.6462) Prec@1 58.594 (62.035) Prec@5 78.906 (82.584)
Epoch: [82][6800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.4897 (1.6460) Prec@1 60.156 (62.048) Prec@5 84.375 (82.587)
Epoch: [82][7000/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.0088 (1.6470) Prec@1 58.594 (62.035) Prec@5 77.344 (82.573)
Epoch: [82][7200/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 2.1279 (1.6471) Prec@1 60.156 (62.034) Prec@5 78.906 (82.571)
Epoch: [82][7400/10010] Time 0.390 (0.400) Data 0.000 (0.001) Loss 2.3294 (1.6471) Prec@1 51.562 (62.031) Prec@5 73.438 (82.571)
Epoch: [82][7600/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.4834 (1.6468) Prec@1 64.844 (62.039) Prec@5 85.156 (82.573)
Epoch: [82][7800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.5344 (1.6463) Prec@1 59.375 (62.051) Prec@5 89.062 (82.581)
Epoch: [82][8000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.5187 (1.6462) Prec@1 65.625 (62.049) Prec@5 84.375 (82.577)
Epoch: [82][8200/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.3740 (1.6459) Prec@1 62.500 (62.054) Prec@5 82.812 (82.585)
Epoch: [82][8400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.5965 (1.6461) Prec@1 67.188 (62.050) Prec@5 86.719 (82.580)
Epoch: [82][8600/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.7526 (1.6458) Prec@1 60.156 (62.059) Prec@5 77.344 (82.587)
Epoch: [82][8800/10010] Time 0.391 (0.400) Data 0.000 (0.001) Loss 1.6418 (1.6465) Prec@1 63.281 (62.047) Prec@5 84.375 (82.579)
Epoch: [82][9000/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 1.5405 (1.6462) Prec@1 62.500 (62.052) Prec@5 85.938 (82.579)
Epoch: [82][9200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.4354 (1.6465) Prec@1 62.500 (62.043) Prec@5 85.156 (82.575)
Epoch: [82][9400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.6331 (1.6467) Prec@1 58.594 (62.050) Prec@5 83.594 (82.569)
Epoch: [82][9600/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.4732 (1.6471) Prec@1 66.406 (62.041) Prec@5 85.156 (82.566)
Epoch: [82][9800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.6149 (1.6472) Prec@1 64.062 (62.042) Prec@5 85.938 (82.572)
Epoch: [82][10000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.4982 (1.6474) Prec@1 68.750 (62.039) Prec@5 85.156 (82.569)
Test: [0/391] Time 5.396 (5.396) Loss 0.6681 (0.6681) Prec@1 86.719 (86.719) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.212 (0.253) Loss 1.6165 (1.1948) Prec@1 56.250 (69.978) Prec@5 85.156 (89.918)
* Prec@1 65.776 Prec@5 86.738 Loss@ 1.416
==>>[2018-06-24 10:18:56] [Epoch=083/150] [Need: 76:10:35] [learning_rate=0.001000] [Best : Accuracy(T1/T5)=65.93/86.76, Error=34.07/13.24]
Epoch: [83][0/10010] Time 6.766 (6.766) Data 3.025 (3.025) Loss 1.6878 (1.6878) Prec@1 60.938 (60.938) Prec@5 77.344 (77.344)
Epoch: [83][200/10010] Time 0.423 (0.435) Data 0.000 (0.015) Loss 1.6202 (1.6371) Prec@1 66.406 (62.535) Prec@5 83.594 (82.610)
Epoch: [83][400/10010] Time 0.397 (0.416) Data 0.000 (0.008) Loss 2.1406 (1.6483) Prec@1 55.469 (62.334) Prec@5 74.219 (82.440)
Epoch: [83][600/10010] Time 0.400 (0.410) Data 0.000 (0.005) Loss 1.5609 (1.6473) Prec@1 63.281 (62.301) Prec@5 85.938 (82.542)
Epoch: [83][800/10010] Time 0.396 (0.407) Data 0.000 (0.004) Loss 1.9432 (1.6498) Prec@1 61.719 (62.206) Prec@5 80.469 (82.486)
Epoch: [83][1000/10010] Time 0.424 (0.405) Data 0.000 (0.003) Loss 1.4939 (1.6476) Prec@1 65.625 (62.253) Prec@5 85.938 (82.532)
Epoch: [83][1200/10010] Time 0.397 (0.404) Data 0.000 (0.003) Loss 1.2372 (1.6444) Prec@1 71.094 (62.250) Prec@5 86.719 (82.596)
Epoch: [83][1400/10010] Time 0.397 (0.403) Data 0.001 (0.003) Loss 1.5436 (1.6434) Prec@1 62.500 (62.258) Prec@5 83.594 (82.648)
Epoch: [83][1600/10010] Time 0.398 (0.402) Data 0.000 (0.002) Loss 1.3948 (1.6448) Prec@1 68.750 (62.232) Prec@5 84.375 (82.620)
Epoch: [83][1800/10010] Time 0.401 (0.402) Data 0.000 (0.002) Loss 1.6999 (1.6458) Prec@1 59.375 (62.199) Prec@5 80.469 (82.632)
Epoch: [83][2000/10010] Time 0.401 (0.401) Data 0.000 (0.002) Loss 1.6592 (1.6473) Prec@1 64.062 (62.115) Prec@5 83.594 (82.629)
Epoch: [83][2200/10010] Time 0.393 (0.401) Data 0.000 (0.002) Loss 1.8118 (1.6449) Prec@1 57.812 (62.174) Prec@5 78.125 (82.667)
Epoch: [83][2400/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 1.6251 (1.6442) Prec@1 66.406 (62.219) Prec@5 85.938 (82.665)
Epoch: [83][2600/10010] Time 0.396 (0.401) Data 0.000 (0.002) Loss 1.8546 (1.6442) Prec@1 59.375 (62.222) Prec@5 81.250 (82.665)
Epoch: [83][2800/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.8467 (1.6454) Prec@1 54.688 (62.193) Prec@5 79.688 (82.629)
Epoch: [83][3000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.6630 (1.6448) Prec@1 60.156 (62.209) Prec@5 80.469 (82.644)
Epoch: [83][3200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.6099 (1.6442) Prec@1 60.938 (62.243) Prec@5 85.156 (82.653)
Epoch: [83][3400/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 1.5168 (1.6455) Prec@1 67.969 (62.220) Prec@5 83.594 (82.641)
Epoch: [83][3600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.7686 (1.6458) Prec@1 59.375 (62.214) Prec@5 82.031 (82.641)
Epoch: [83][3800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.7809 (1.6463) Prec@1 57.812 (62.208) Prec@5 79.688 (82.635)
Epoch: [83][4000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.8133 (1.6459) Prec@1 53.906 (62.198) Prec@5 81.250 (82.645)
Epoch: [83][4200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.7218 (1.6452) Prec@1 60.156 (62.211) Prec@5 78.125 (82.638)
Epoch: [83][4400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6086 (1.6457) Prec@1 61.719 (62.189) Prec@5 80.469 (82.628)
Epoch: [83][4600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.6343 (1.6459) Prec@1 61.719 (62.183) Prec@5 83.594 (82.632)
Epoch: [83][4800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0144 (1.6469) Prec@1 55.469 (62.151) Prec@5 76.562 (82.617)
Epoch: [83][5000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5730 (1.6467) Prec@1 63.281 (62.143) Prec@5 82.812 (82.616)
Epoch: [83][5200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.4577 (1.6458) Prec@1 68.750 (62.154) Prec@5 82.031 (82.624)
Epoch: [83][5400/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 1.7388 (1.6461) Prec@1 61.719 (62.138) Prec@5 82.031 (82.624)
Epoch: [83][5600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.4575 (1.6457) Prec@1 65.625 (62.146) Prec@5 85.938 (82.634)
Epoch: [83][5800/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.6949 (1.6452) Prec@1 62.500 (62.151) Prec@5 80.469 (82.647)
Epoch: [83][6000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.8636 (1.6448) Prec@1 57.812 (62.153) Prec@5 78.125 (82.661)
Epoch: [83][6200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.6754 (1.6441) Prec@1 62.500 (62.165) Prec@5 81.250 (82.664)
Epoch: [83][6400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.6744 (1.6443) Prec@1 59.375 (62.158) Prec@5 86.719 (82.666)
Epoch: [83][6600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.5641 (1.6449) Prec@1 67.188 (62.155) Prec@5 83.594 (82.651)
Epoch: [83][6800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.5580 (1.6449) Prec@1 64.062 (62.149) Prec@5 82.031 (82.651)
Epoch: [83][7000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.6974 (1.6448) Prec@1 59.375 (62.158) Prec@5 82.812 (82.655)
Epoch: [83][7200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.8552 (1.6453) Prec@1 60.156 (62.150) Prec@5 79.688 (82.649)
Epoch: [83][7400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.3156 (1.6460) Prec@1 70.312 (62.140) Prec@5 87.500 (82.638)
Epoch: [83][7600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.4916 (1.6454) Prec@1 68.750 (62.145) Prec@5 84.375 (82.648)
Epoch: [83][7800/10010] Time 0.393 (0.398) Data 0.001 (0.001) Loss 1.7491 (1.6454) Prec@1 60.156 (62.139) Prec@5 81.250 (82.641)
Epoch: [83][8000/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 1.8094 (1.6457) Prec@1 60.938 (62.130) Prec@5 80.469 (82.637)
Epoch: [83][8200/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 1.6725 (1.6459) Prec@1 54.688 (62.120) Prec@5 82.031 (82.634)
Epoch: [83][8400/10010] Time 0.398 (0.398) Data 0.000 (0.001) Loss 1.5059 (1.6458) Prec@1 69.531 (62.111) Prec@5 85.156 (82.633)
Epoch: [83][8600/10010] Time 0.400 (0.398) Data 0.000 (0.001) Loss 1.6826 (1.6464) Prec@1 59.375 (62.092) Prec@5 80.469 (82.622)
Epoch: [83][8800/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 1.4945 (1.6465) Prec@1 64.844 (62.082) Prec@5 85.938 (82.619)
Epoch: [83][9000/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 1.7208 (1.6468) Prec@1 60.938 (62.074) Prec@5 82.812 (82.615)
Epoch: [83][9200/10010] Time 0.403 (0.398) Data 0.001 (0.001) Loss 1.5763 (1.6466) Prec@1 64.844 (62.074) Prec@5 80.469 (82.618)
Epoch: [83][9400/10010] Time 0.398 (0.398) Data 0.000 (0.001) Loss 1.9242 (1.6462) Prec@1 59.375 (62.085) Prec@5 81.250 (82.628)
Epoch: [83][9600/10010] Time 0.397 (0.398) Data 0.000 (0.001) Loss 1.6882 (1.6465) Prec@1 59.375 (62.080) Prec@5 82.031 (82.626)
Epoch: [83][9800/10010] Time 0.402 (0.398) Data 0.000 (0.001) Loss 1.2538 (1.6464) Prec@1 72.656 (62.078) Prec@5 85.938 (82.631)
Epoch: [83][10000/10010] Time 0.396 (0.398) Data 0.000 (0.001) Loss 1.9385 (1.6466) Prec@1 59.375 (62.082) Prec@5 83.594 (82.625)
Test: [0/391] Time 3.864 (3.864) Loss 0.6601 (0.6601) Prec@1 84.375 (84.375) Prec@5 96.094 (96.094)
Test: [200/391] Time 0.145 (0.258) Loss 1.5850 (1.1802) Prec@1 60.156 (70.406) Prec@5 85.938 (90.166)
* Prec@1 65.952 Prec@5 86.860 Loss@ 1.409
==>>[2018-06-29 12:08:39] [Epoch=084/150] [Need: 74:52:47] [learning_rate=None] [Best : Accuracy(T1/T5)=65.95/86.86, Error=34.05/13.14]
Epoch: [84][0/10010] Time 3.291 (3.291) Data 3.137 (3.137) Loss 1.8954 (1.8954) Prec@1 53.906 (53.906) Prec@5 80.469 (80.469)
Epoch: [84][200/10010] Time 0.395 (0.412) Data 0.000 (0.017) Loss 1.8115 (1.6239) Prec@1 60.156 (62.586) Prec@5 84.375 (83.108)
Epoch: [84][400/10010] Time 0.395 (0.405) Data 0.000 (0.008) Loss 1.7121 (1.6207) Prec@1 60.938 (62.650) Prec@5 80.469 (83.029)
Epoch: [84][600/10010] Time 0.393 (0.403) Data 0.000 (0.006) Loss 1.4913 (1.6287) Prec@1 64.062 (62.449) Prec@5 83.594 (82.874)
Epoch: [84][800/10010] Time 0.405 (0.402) Data 0.000 (0.004) Loss 1.5725 (1.6346) Prec@1 59.375 (62.353) Prec@5 85.938 (82.796)
Epoch: [84][1000/10010] Time 0.395 (0.401) Data 0.000 (0.004) Loss 1.6931 (1.6335) Prec@1 60.938 (62.406) Prec@5 81.250 (82.798)
Epoch: [84][1200/10010] Time 0.399 (0.401) Data 0.001 (0.003) Loss 1.8449 (1.6342) Prec@1 56.250 (62.399) Prec@5 82.812 (82.807)
Epoch: [84][1400/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 1.5510 (1.6353) Prec@1 62.500 (62.407) Prec@5 86.719 (82.759)
Epoch: [84][1600/10010] Time 0.401 (0.400) Data 0.001 (0.002) Loss 1.6746 (1.6366) Prec@1 63.281 (62.358) Prec@5 82.812 (82.720)
Epoch: [84][1800/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.7330 (1.6375) Prec@1 64.062 (62.315) Prec@5 78.125 (82.685)
Epoch: [84][2000/10010] Time 0.408 (0.400) Data 0.000 (0.002) Loss 1.7786 (1.6389) Prec@1 60.938 (62.284) Prec@5 85.156 (82.673)
Epoch: [84][2200/10010] Time 0.403 (0.400) Data 0.001 (0.002) Loss 1.4886 (1.6388) Prec@1 65.625 (62.252) Prec@5 85.938 (82.665)
Epoch: [84][2400/10010] Time 0.393 (0.399) Data 0.001 (0.002) Loss 1.4286 (1.6383) Prec@1 65.625 (62.249) Prec@5 85.938 (82.667)
Epoch: [84][2600/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 1.3849 (1.6392) Prec@1 66.406 (62.207) Prec@5 87.500 (82.667)
Epoch: [84][2800/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 1.5364 (1.6393) Prec@1 60.938 (62.214) Prec@5 82.812 (82.671)
Epoch: [84][3000/10010] Time 0.406 (0.399) Data 0.000 (0.002) Loss 1.5779 (1.6407) Prec@1 66.406 (62.210) Prec@5 85.156 (82.649)
Epoch: [84][3200/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 1.6431 (1.6420) Prec@1 57.812 (62.202) Prec@5 82.031 (82.635)
Epoch: [84][3400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5826 (1.6421) Prec@1 63.281 (62.189) Prec@5 82.812 (82.641)
Epoch: [84][3600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.5750 (1.6431) Prec@1 65.625 (62.182) Prec@5 80.469 (82.622)
Epoch: [84][3800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.6312 (1.6421) Prec@1 61.719 (62.212) Prec@5 81.250 (82.645)
Epoch: [84][4000/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 1.6093 (1.6425) Prec@1 67.188 (62.203) Prec@5 81.250 (82.653)
Epoch: [84][4200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.6057 (1.6419) Prec@1 60.156 (62.205) Prec@5 85.938 (82.667)
Epoch: [84][4400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.6391 (1.6412) Prec@1 60.156 (62.218) Prec@5 83.594 (82.685)
Epoch: [84][4600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.4680 (1.6408) Prec@1 67.969 (62.231) Prec@5 82.812 (82.685)
Epoch: [84][4800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9400 (1.6419) Prec@1 60.156 (62.213) Prec@5 78.125 (82.669)
Epoch: [84][5000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.9414 (1.6423) Prec@1 55.469 (62.207) Prec@5 78.125 (82.662)
Epoch: [84][5200/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 1.7520 (1.6429) Prec@1 60.938 (62.207) Prec@5 81.250 (82.649)
Epoch: [84][5400/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 1.5091 (1.6426) Prec@1 66.406 (62.202) Prec@5 85.156 (82.659)
Epoch: [84][5600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7371 (1.6429) Prec@1 55.469 (62.180) Prec@5 78.125 (82.653)
Epoch: [84][5800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.4514 (1.6423) Prec@1 65.625 (62.201) Prec@5 83.594 (82.661)
Epoch: [84][6000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.3485 (1.6421) Prec@1 65.625 (62.197) Prec@5 87.500 (82.661)
Epoch: [84][6200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.6827 (1.6432) Prec@1 60.156 (62.173) Prec@5 82.812 (82.644)
Epoch: [84][6400/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 1.6842 (1.6438) Prec@1 57.812 (62.156) Prec@5 78.125 (82.631)
Epoch: [84][6600/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 1.6891 (1.6444) Prec@1 63.281 (62.150) Prec@5 82.031 (82.625)
Epoch: [84][6800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.8224 (1.6445) Prec@1 62.500 (62.150) Prec@5 79.688 (82.623)
Epoch: [84][7000/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 1.6332 (1.6444) Prec@1 64.062 (62.149) Prec@5 83.594 (82.625)
Epoch: [84][7200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.7884 (1.6442) Prec@1 61.719 (62.154) Prec@5 80.469 (82.628)
Epoch: [84][7400/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 2.0445 (1.6437) Prec@1 53.906 (62.155) Prec@5 78.125 (82.645)
Epoch: [84][7600/10010] Time 0.409 (0.399) Data 0.000 (0.001) Loss 1.7156 (1.6431) Prec@1 62.500 (62.163) Prec@5 81.250 (82.658)
Epoch: [84][7800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.0104 (1.6434) Prec@1 57.812 (62.159) Prec@5 79.688 (82.666)
Epoch: [84][8000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.4884 (1.6435) Prec@1 67.188 (62.157) Prec@5 85.156 (82.662)
Epoch: [84][8200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.8381 (1.6433) Prec@1 54.688 (62.163) Prec@5 79.688 (82.668)
Epoch: [84][8400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.1561 (1.6431) Prec@1 53.906 (62.166) Prec@5 76.562 (82.667)
Epoch: [84][8600/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 1.7701 (1.6438) Prec@1 63.281 (62.160) Prec@5 78.125 (82.650)
Epoch: [84][8800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.8145 (1.6437) Prec@1 59.375 (62.168) Prec@5 75.781 (82.650)
Epoch: [84][9000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5905 (1.6438) Prec@1 60.938 (62.164) Prec@5 81.250 (82.646)
Epoch: [84][9200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.4455 (1.6433) Prec@1 62.500 (62.176) Prec@5 85.938 (82.653)
Epoch: [84][9400/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 1.5467 (1.6438) Prec@1 62.500 (62.167) Prec@5 83.594 (82.642)
Epoch: [84][9600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.8126 (1.6439) Prec@1 61.719 (62.162) Prec@5 82.031 (82.643)
Epoch: [84][9800/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 1.8738 (1.6441) Prec@1 54.688 (62.156) Prec@5 77.344 (82.639)
Epoch: [84][10000/10010] Time 0.428 (0.399) Data 0.000 (0.001) Loss 1.6932 (1.6444) Prec@1 63.281 (62.145) Prec@5 83.594 (82.638)
Test: [0/391] Time 6.208 (6.208) Loss 0.6721 (0.6721) Prec@1 82.812 (82.812) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.187 (0.259) Loss 1.5226 (1.1899) Prec@1 59.375 (70.231) Prec@5 86.719 (89.852)
* Prec@1 65.988 Prec@5 86.712 Loss@ 1.407
==>>[2018-06-29 13:16:47] [Epoch=085/150] [Need: 73:48:29] [learning_rate=None] [Best : Accuracy(T1/T5)=65.99/86.86, Error=34.01/13.14]
Epoch: [85][0/10010] Time 3.553 (3.553) Data 3.389 (3.389) Loss 1.5853 (1.5853) Prec@1 62.500 (62.500) Prec@5 84.375 (84.375)
Epoch: [85][200/10010] Time 0.398 (0.414) Data 0.000 (0.018) Loss 1.5354 (1.6343) Prec@1 66.406 (62.333) Prec@5 81.250 (82.991)
Epoch: [85][400/10010] Time 0.398 (0.406) Data 0.000 (0.009) Loss 1.6013 (1.6273) Prec@1 60.156 (62.438) Prec@5 82.031 (82.873)
Epoch: [85][600/10010] Time 0.398 (0.403) Data 0.000 (0.006) Loss 1.8469 (1.6249) Prec@1 58.594 (62.492) Prec@5 78.906 (82.853)
Epoch: [85][800/10010] Time 0.412 (0.402) Data 0.001 (0.005) Loss 1.5777 (1.6273) Prec@1 63.281 (62.381) Prec@5 84.375 (82.782)
Epoch: [85][1000/10010] Time 0.396 (0.402) Data 0.000 (0.004) Loss 1.9192 (1.6273) Prec@1 61.719 (62.370) Prec@5 81.250 (82.777)
Epoch: [85][1200/10010] Time 0.394 (0.401) Data 0.000 (0.003) Loss 1.6616 (1.6264) Prec@1 64.062 (62.403) Prec@5 83.594 (82.815)
Epoch: [85][1400/10010] Time 0.404 (0.401) Data 0.000 (0.003) Loss 1.4914 (1.6269) Prec@1 64.844 (62.440) Prec@5 82.812 (82.829)
Epoch: [85][1600/10010] Time 0.402 (0.400) Data 0.000 (0.003) Loss 1.3982 (1.6269) Prec@1 67.969 (62.428) Prec@5 89.062 (82.825)
Epoch: [85][1800/10010] Time 0.400 (0.400) Data 0.001 (0.002) Loss 1.4526 (1.6283) Prec@1 69.531 (62.393) Prec@5 82.031 (82.807)
Epoch: [85][2000/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 1.2021 (1.6290) Prec@1 70.312 (62.373) Prec@5 87.500 (82.815)
Epoch: [85][2200/10010] Time 0.401 (0.400) Data 0.001 (0.002) Loss 1.3005 (1.6286) Prec@1 71.094 (62.385) Prec@5 89.844 (82.813)
Epoch: [85][2400/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 1.5133 (1.6296) Prec@1 64.062 (62.355) Prec@5 83.594 (82.796)
Epoch: [85][2600/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 1.4461 (1.6319) Prec@1 62.500 (62.301) Prec@5 83.594 (82.779)
Epoch: [85][2800/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.8145 (1.6332) Prec@1 63.281 (62.286) Prec@5 80.469 (82.782)
Epoch: [85][3000/10010] Time 0.407 (0.400) Data 0.000 (0.002) Loss 1.7200 (1.6320) Prec@1 60.156 (62.294) Prec@5 82.812 (82.805)
Epoch: [85][3200/10010] Time 0.396 (0.399) Data 0.000 (0.002) Loss 1.8830 (1.6318) Prec@1 58.594 (62.321) Prec@5 74.219 (82.809)
Epoch: [85][3400/10010] Time 0.395 (0.399) Data 0.000 (0.002) Loss 1.6242 (1.6322) Prec@1 61.719 (62.307) Prec@5 81.250 (82.814)
Epoch: [85][3600/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 1.6117 (1.6321) Prec@1 64.844 (62.318) Prec@5 79.688 (82.814)
Epoch: [85][3800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.6417 (1.6318) Prec@1 63.281 (62.330) Prec@5 80.469 (82.803)
Epoch: [85][4000/10010] Time 0.389 (0.399) Data 0.000 (0.001) Loss 1.5465 (1.6316) Prec@1 65.625 (62.330) Prec@5 83.594 (82.811)
Epoch: [85][4200/10010] Time 0.413 (0.399) Data 0.000 (0.001) Loss 1.5960 (1.6320) Prec@1 59.375 (62.314) Prec@5 86.719 (82.809)
Epoch: [85][4400/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 1.2984 (1.6327) Prec@1 65.625 (62.307) Prec@5 89.844 (82.787)
Epoch: [85][4600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.7493 (1.6339) Prec@1 56.250 (62.283) Prec@5 79.688 (82.768)
Epoch: [85][4800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.7731 (1.6349) Prec@1 56.250 (62.265) Prec@5 84.375 (82.761)
Epoch: [85][5000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.4417 (1.6360) Prec@1 61.719 (62.245) Prec@5 86.719 (82.747)
Epoch: [85][5200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.6735 (1.6352) Prec@1 60.938 (62.258) Prec@5 79.688 (82.750)
Epoch: [85][5400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.4987 (1.6358) Prec@1 63.281 (62.243) Prec@5 82.812 (82.748)
Epoch: [85][5600/10010] Time 0.412 (0.399) Data 0.000 (0.001) Loss 1.4581 (1.6352) Prec@1 64.062 (62.244) Prec@5 85.938 (82.766)
Epoch: [85][5800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.6258 (1.6361) Prec@1 63.281 (62.228) Prec@5 80.469 (82.750)
Epoch: [85][6000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.9266 (1.6360) Prec@1 59.375 (62.227) Prec@5 79.688 (82.751)
Epoch: [85][6200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.1334 (1.6355) Prec@1 76.562 (62.229) Prec@5 89.844 (82.759)
Epoch: [85][6400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6526 (1.6356) Prec@1 62.500 (62.232) Prec@5 80.469 (82.762)
Epoch: [85][6600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5410 (1.6355) Prec@1 59.375 (62.243) Prec@5 86.719 (82.765)
Epoch: [85][6800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.6722 (1.6357) Prec@1 58.594 (62.237) Prec@5 83.594 (82.768)
Epoch: [85][7000/10010] Time 0.405 (0.399) Data 0.001 (0.001) Loss 1.4095 (1.6357) Prec@1 67.188 (62.241) Prec@5 87.500 (82.768)
Epoch: [85][7200/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 1.9385 (1.6363) Prec@1 60.938 (62.243) Prec@5 76.562 (82.765)
Epoch: [85][7400/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.6561 (1.6363) Prec@1 59.375 (62.244) Prec@5 81.250 (82.770)
Epoch: [85][7600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.0094 (1.6370) Prec@1 58.594 (62.233) Prec@5 80.469 (82.756)
Epoch: [85][7800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.7435 (1.6370) Prec@1 61.719 (62.231) Prec@5 81.250 (82.758)
Epoch: [85][8000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.3960 (1.6378) Prec@1 64.062 (62.212) Prec@5 84.375 (82.751)
Epoch: [85][8200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.5849 (1.6382) Prec@1 64.062 (62.209) Prec@5 85.156 (82.748)
Epoch: [85][8400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.7455 (1.6382) Prec@1 57.031 (62.206) Prec@5 80.469 (82.751)
Epoch: [85][8600/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 1.8320 (1.6384) Prec@1 60.156 (62.203) Prec@5 82.031 (82.755)
Epoch: [85][8800/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 1.6242 (1.6381) Prec@1 56.250 (62.209) Prec@5 81.250 (82.760)
Epoch: [85][9000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.3124 (1.6383) Prec@1 68.750 (62.210) Prec@5 86.719 (82.757)
Epoch: [85][9200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.5696 (1.6379) Prec@1 59.375 (62.215) Prec@5 82.812 (82.765)
Epoch: [85][9400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.6973 (1.6377) Prec@1 57.031 (62.218) Prec@5 80.469 (82.767)
Epoch: [85][9600/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 1.6617 (1.6379) Prec@1 62.500 (62.211) Prec@5 82.031 (82.761)
Epoch: [85][9800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.4358 (1.6385) Prec@1 67.188 (62.204) Prec@5 83.594 (82.750)
Epoch: [85][10000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.3379 (1.6383) Prec@1 67.969 (62.208) Prec@5 88.281 (82.753)
Test: [0/391] Time 3.458 (3.458) Loss 0.7387 (0.7387) Prec@1 82.031 (82.031) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.141 (0.249) Loss 1.6849 (1.1833) Prec@1 53.125 (70.196) Prec@5 82.812 (89.906)
* Prec@1 65.896 Prec@5 86.664 Loss@ 1.409
==>>[2018-06-29 14:24:57] [Epoch=086/150] [Need: 72:43:26] [learning_rate=None] [Best : Accuracy(T1/T5)=65.99/86.86, Error=34.01/13.14]
Epoch: [86][0/10010] Time 3.451 (3.451) Data 3.289 (3.289) Loss 1.3333 (1.3333) Prec@1 67.188 (67.188) Prec@5 89.062 (89.062)
Epoch: [86][200/10010] Time 0.402 (0.414) Data 0.001 (0.019) Loss 1.6473 (1.6255) Prec@1 65.625 (62.418) Prec@5 82.812 (83.057)
Epoch: [86][400/10010] Time 0.401 (0.406) Data 0.001 (0.010) Loss 1.5121 (1.6300) Prec@1 59.375 (62.208) Prec@5 84.375 (82.774)
Epoch: [86][600/10010] Time 0.400 (0.404) Data 0.000 (0.007) Loss 1.6694 (1.6376) Prec@1 62.500 (62.133) Prec@5 86.719 (82.728)
Epoch: [86][800/10010] Time 0.402 (0.403) Data 0.000 (0.005) Loss 1.8831 (1.6311) Prec@1 62.500 (62.364) Prec@5 79.688 (82.870)
Epoch: [86][1000/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 1.4322 (1.6310) Prec@1 67.188 (62.356) Prec@5 86.719 (82.842)
Epoch: [86][1200/10010] Time 0.396 (0.402) Data 0.000 (0.004) Loss 1.1379 (1.6324) Prec@1 72.656 (62.332) Prec@5 92.188 (82.846)
Epoch: [86][1400/10010] Time 0.403 (0.401) Data 0.000 (0.003) Loss 1.6833 (1.6314) Prec@1 61.719 (62.386) Prec@5 87.500 (82.858)
Epoch: [86][1600/10010] Time 0.403 (0.401) Data 0.000 (0.003) Loss 1.5123 (1.6302) Prec@1 65.625 (62.369) Prec@5 85.938 (82.882)
Epoch: [86][1800/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.5780 (1.6288) Prec@1 66.406 (62.418) Prec@5 84.375 (82.909)
Epoch: [86][2000/10010] Time 0.400 (0.401) Data 0.001 (0.002) Loss 1.5042 (1.6274) Prec@1 63.281 (62.454) Prec@5 82.812 (82.900)
Epoch: [86][2200/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 1.7900 (1.6276) Prec@1 58.594 (62.459) Prec@5 82.812 (82.904)
Epoch: [86][2400/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.5729 (1.6292) Prec@1 65.625 (62.422) Prec@5 85.156 (82.899)
Epoch: [86][2600/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 2.0077 (1.6294) Prec@1 56.250 (62.432) Prec@5 74.219 (82.881)
Epoch: [86][2800/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 1.5181 (1.6308) Prec@1 67.969 (62.373) Prec@5 82.812 (82.860)
Epoch: [86][3000/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.6637 (1.6306) Prec@1 61.719 (62.385) Prec@5 83.594 (82.857)
Epoch: [86][3200/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 1.5864 (1.6316) Prec@1 61.719 (62.392) Prec@5 82.031 (82.835)
Epoch: [86][3400/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.4393 (1.6321) Prec@1 59.375 (62.397) Prec@5 85.938 (82.830)
Epoch: [86][3600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.5869 (1.6326) Prec@1 64.844 (62.382) Prec@5 82.031 (82.819)
Epoch: [86][3800/10010] Time 0.413 (0.400) Data 0.000 (0.001) Loss 1.7269 (1.6322) Prec@1 61.719 (62.385) Prec@5 82.031 (82.810)
Epoch: [86][4000/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 1.6363 (1.6320) Prec@1 61.719 (62.392) Prec@5 83.594 (82.828)
Epoch: [86][4200/10010] Time 0.402 (0.400) Data 0.001 (0.001) Loss 1.5917 (1.6328) Prec@1 62.500 (62.380) Prec@5 82.812 (82.826)
Epoch: [86][4400/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.6039 (1.6334) Prec@1 62.500 (62.362) Prec@5 82.031 (82.819)
Epoch: [86][4600/10010] Time 0.410 (0.400) Data 0.000 (0.001) Loss 1.4588 (1.6343) Prec@1 61.719 (62.349) Prec@5 83.594 (82.802)
Epoch: [86][4800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.5005 (1.6349) Prec@1 63.281 (62.340) Prec@5 84.375 (82.794)
Epoch: [86][5000/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 1.9603 (1.6350) Prec@1 57.031 (62.338) Prec@5 77.344 (82.784)
Epoch: [86][5200/10010] Time 0.395 (0.400) Data 0.001 (0.001) Loss 1.6940 (1.6352) Prec@1 63.281 (62.338) Prec@5 83.594 (82.782)
Epoch: [86][5400/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.6864 (1.6349) Prec@1 60.156 (62.338) Prec@5 80.469 (82.787)
Epoch: [86][5600/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.6571 (1.6350) Prec@1 61.719 (62.343) Prec@5 82.812 (82.786)
Epoch: [86][5800/10010] Time 0.398 (0.400) Data 0.001 (0.001) Loss 1.4403 (1.6359) Prec@1 64.062 (62.311) Prec@5 86.719 (82.760)
Epoch: [86][6000/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.9233 (1.6360) Prec@1 57.031 (62.310) Prec@5 77.344 (82.761)
Epoch: [86][6200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.1207 (1.6364) Prec@1 74.219 (62.299) Prec@5 86.719 (82.759)
Epoch: [86][6400/10010] Time 0.396 (0.400) Data 0.001 (0.001) Loss 1.3742 (1.6365) Prec@1 71.875 (62.296) Prec@5 86.719 (82.763)
Epoch: [86][6600/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 1.9252 (1.6361) Prec@1 59.375 (62.306) Prec@5 78.906 (82.770)
Epoch: [86][6800/10010] Time 0.402 (0.400) Data 0.001 (0.001) Loss 2.0128 (1.6371) Prec@1 57.031 (62.282) Prec@5 80.469 (82.757)
Epoch: [86][7000/10010] Time 0.404 (0.400) Data 0.001 (0.001) Loss 1.6233 (1.6373) Prec@1 64.844 (62.282) Prec@5 79.688 (82.758)
Epoch: [86][7200/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 2.0165 (1.6370) Prec@1 57.812 (62.291) Prec@5 77.344 (82.761)
Epoch: [86][7400/10010] Time 0.391 (0.400) Data 0.000 (0.001) Loss 1.5924 (1.6369) Prec@1 64.844 (62.288) Prec@5 85.156 (82.755)
Epoch: [86][7600/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 1.8328 (1.6371) Prec@1 60.938 (62.286) Prec@5 80.469 (82.754)
Epoch: [86][7800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.5694 (1.6367) Prec@1 62.500 (62.291) Prec@5 84.375 (82.761)
Epoch: [86][8000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.3990 (1.6369) Prec@1 69.531 (62.282) Prec@5 85.156 (82.754)
Epoch: [86][8200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.4849 (1.6372) Prec@1 65.625 (62.278) Prec@5 86.719 (82.752)
Epoch: [86][8400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.8799 (1.6376) Prec@1 59.375 (62.272) Prec@5 78.125 (82.742)
Epoch: [86][8600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.6485 (1.6383) Prec@1 58.594 (62.258) Prec@5 82.031 (82.730)
Epoch: [86][8800/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.5924 (1.6387) Prec@1 63.281 (62.244) Prec@5 82.812 (82.726)
Epoch: [86][9000/10010] Time 0.397 (0.400) Data 0.001 (0.001) Loss 1.5653 (1.6386) Prec@1 62.500 (62.251) Prec@5 85.156 (82.727)
Epoch: [86][9200/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.6072 (1.6386) Prec@1 60.156 (62.247) Prec@5 83.594 (82.731)
Epoch: [86][9400/10010] Time 0.408 (0.400) Data 0.000 (0.001) Loss 1.5851 (1.6390) Prec@1 65.625 (62.242) Prec@5 83.594 (82.727)
Epoch: [86][9600/10010] Time 0.397 (0.400) Data 0.001 (0.001) Loss 1.6970 (1.6393) Prec@1 57.031 (62.231) Prec@5 82.031 (82.722)
Epoch: [86][9800/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 1.7562 (1.6395) Prec@1 60.156 (62.221) Prec@5 80.469 (82.719)
Epoch: [86][10000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.6516 (1.6399) Prec@1 57.812 (62.219) Prec@5 83.594 (82.713)
Test: [0/391] Time 3.607 (3.607) Loss 0.6143 (0.6143) Prec@1 85.938 (85.938) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.160 (0.260) Loss 1.6019 (1.1838) Prec@1 60.156 (70.141) Prec@5 86.719 (89.976)
* Prec@1 65.864 Prec@5 86.652 Loss@ 1.412
==>>[2018-06-29 15:33:16] [Epoch=087/150] [Need: 71:43:59] [learning_rate=None] [Best : Accuracy(T1/T5)=65.99/86.86, Error=34.01/13.14]
Epoch: [87][0/10010] Time 3.934 (3.934) Data 3.767 (3.767) Loss 1.8427 (1.8427) Prec@1 53.125 (53.125) Prec@5 78.906 (78.906)
Epoch: [87][200/10010] Time 0.389 (0.416) Data 0.001 (0.020) Loss 1.6643 (1.6165) Prec@1 62.500 (62.582) Prec@5 79.688 (83.259)
Epoch: [87][400/10010] Time 0.397 (0.408) Data 0.000 (0.010) Loss 1.6799 (1.6212) Prec@1 60.156 (62.597) Prec@5 78.906 (83.064)
Epoch: [87][600/10010] Time 0.394 (0.405) Data 0.000 (0.007) Loss 1.3560 (1.6155) Prec@1 71.875 (62.781) Prec@5 88.281 (83.076)
Epoch: [87][800/10010] Time 0.395 (0.403) Data 0.000 (0.005) Loss 1.4304 (1.6141) Prec@1 64.062 (62.787) Prec@5 85.938 (83.075)
Epoch: [87][1000/10010] Time 0.401 (0.403) Data 0.000 (0.004) Loss 1.3696 (1.6161) Prec@1 69.531 (62.758) Prec@5 85.156 (83.044)
Epoch: [87][1200/10010] Time 0.399 (0.402) Data 0.001 (0.004) Loss 1.4992 (1.6176) Prec@1 62.500 (62.726) Prec@5 81.250 (83.034)
Epoch: [87][1400/10010] Time 0.400 (0.402) Data 0.001 (0.003) Loss 1.5076 (1.6181) Prec@1 70.312 (62.735) Prec@5 83.594 (82.988)
Epoch: [87][1600/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 1.9307 (1.6217) Prec@1 57.031 (62.658) Prec@5 75.781 (82.944)
Epoch: [87][1800/10010] Time 0.398 (0.401) Data 0.000 (0.003) Loss 1.5818 (1.6220) Prec@1 62.500 (62.654) Prec@5 82.812 (82.920)
Epoch: [87][2000/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 1.4668 (1.6233) Prec@1 68.750 (62.633) Prec@5 82.031 (82.924)
Epoch: [87][2200/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 1.5820 (1.6245) Prec@1 65.625 (62.610) Prec@5 83.594 (82.924)
Epoch: [87][2400/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 1.6360 (1.6237) Prec@1 62.500 (62.599) Prec@5 81.250 (82.915)
Epoch: [87][2600/10010] Time 0.399 (0.401) Data 0.001 (0.002) Loss 1.4564 (1.6261) Prec@1 67.188 (62.545) Prec@5 84.375 (82.902)
Epoch: [87][2800/10010] Time 0.397 (0.401) Data 0.000 (0.002) Loss 1.7262 (1.6261) Prec@1 58.594 (62.550) Prec@5 81.250 (82.902)
Epoch: [87][3000/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 1.6000 (1.6269) Prec@1 61.719 (62.516) Prec@5 80.469 (82.901)
Epoch: [87][3200/10010] Time 0.397 (0.401) Data 0.000 (0.002) Loss 1.4188 (1.6270) Prec@1 67.188 (62.513) Prec@5 85.156 (82.897)
Epoch: [87][3400/10010] Time 0.397 (0.401) Data 0.000 (0.002) Loss 1.7634 (1.6281) Prec@1 60.156 (62.492) Prec@5 82.031 (82.876)
Epoch: [87][3600/10010] Time 0.404 (0.401) Data 0.001 (0.002) Loss 1.4574 (1.6285) Prec@1 67.188 (62.478) Prec@5 85.938 (82.865)
Epoch: [87][3800/10010] Time 0.402 (0.400) Data 0.001 (0.001) Loss 1.7046 (1.6291) Prec@1 57.031 (62.458) Prec@5 85.156 (82.873)
Epoch: [87][4000/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.8596 (1.6299) Prec@1 58.594 (62.443) Prec@5 82.031 (82.856)
Epoch: [87][4200/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.3048 (1.6294) Prec@1 70.312 (62.448) Prec@5 87.500 (82.863)
Epoch: [87][4400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.5961 (1.6308) Prec@1 61.719 (62.412) Prec@5 83.594 (82.843)
Epoch: [87][4600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.7705 (1.6311) Prec@1 60.156 (62.394) Prec@5 79.688 (82.829)
Epoch: [87][4800/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.3913 (1.6314) Prec@1 63.281 (62.373) Prec@5 89.062 (82.834)
Epoch: [87][5000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.6330 (1.6316) Prec@1 64.062 (62.372) Prec@5 86.719 (82.826)
Epoch: [87][5200/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.3844 (1.6317) Prec@1 62.500 (62.362) Prec@5 86.719 (82.826)
Epoch: [87][5400/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 1.4359 (1.6317) Prec@1 62.500 (62.372) Prec@5 84.375 (82.828)
Epoch: [87][5600/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.8684 (1.6332) Prec@1 58.594 (62.338) Prec@5 82.031 (82.806)
Epoch: [87][5800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.5537 (1.6336) Prec@1 63.281 (62.335) Prec@5 85.156 (82.799)
Epoch: [87][6000/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 1.6385 (1.6332) Prec@1 60.156 (62.361) Prec@5 82.812 (82.802)
Epoch: [87][6200/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 2.1143 (1.6345) Prec@1 55.469 (62.340) Prec@5 78.906 (82.787)
Epoch: [87][6400/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 1.4764 (1.6352) Prec@1 65.625 (62.326) Prec@5 86.719 (82.776)
Epoch: [87][6600/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.3403 (1.6359) Prec@1 67.969 (62.308) Prec@5 90.625 (82.774)
Epoch: [87][6800/10010] Time 0.400 (0.400) Data 0.001 (0.001) Loss 1.7802 (1.6358) Prec@1 62.500 (62.307) Prec@5 83.594 (82.777)
Epoch: [87][7000/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.7299 (1.6363) Prec@1 60.938 (62.299) Prec@5 80.469 (82.766)
Epoch: [87][7200/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.7536 (1.6359) Prec@1 64.062 (62.315) Prec@5 79.688 (82.771)
Epoch: [87][7400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.2881 (1.6358) Prec@1 67.188 (62.313) Prec@5 85.156 (82.770)
Epoch: [87][7600/10010] Time 0.392 (0.400) Data 0.000 (0.001) Loss 1.9023 (1.6364) Prec@1 54.688 (62.307) Prec@5 79.688 (82.757)
Epoch: [87][7800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.6983 (1.6362) Prec@1 61.719 (62.315) Prec@5 82.031 (82.756)
Epoch: [87][8000/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.6559 (1.6363) Prec@1 61.719 (62.317) Prec@5 82.031 (82.753)
Epoch: [87][8200/10010] Time 0.395 (0.400) Data 0.001 (0.001) Loss 2.0794 (1.6368) Prec@1 52.344 (62.308) Prec@5 76.562 (82.752)
Epoch: [87][8400/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.5592 (1.6370) Prec@1 65.625 (62.304) Prec@5 82.031 (82.746)
Epoch: [87][8600/10010] Time 0.407 (0.400) Data 0.000 (0.001) Loss 1.7177 (1.6371) Prec@1 60.156 (62.302) Prec@5 82.031 (82.743)
Epoch: [87][8800/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 1.3718 (1.6377) Prec@1 62.500 (62.285) Prec@5 89.062 (82.734)
Epoch: [87][9000/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.4336 (1.6380) Prec@1 62.500 (62.274) Prec@5 83.594 (82.730)
Epoch: [87][9200/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.6875 (1.6385) Prec@1 60.938 (62.265) Prec@5 78.906 (82.720)
Epoch: [87][9400/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 1.6820 (1.6383) Prec@1 68.750 (62.269) Prec@5 82.812 (82.722)
Epoch: [87][9600/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.7182 (1.6389) Prec@1 63.281 (62.258) Prec@5 84.375 (82.716)
Epoch: [87][9800/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 1.6727 (1.6393) Prec@1 60.938 (62.253) Prec@5 81.250 (82.708)
Epoch: [87][10000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.7914 (1.6392) Prec@1 53.125 (62.248) Prec@5 78.906 (82.710)
Test: [0/391] Time 3.751 (3.751) Loss 0.6550 (0.6550) Prec@1 85.156 (85.156) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.140 (0.254) Loss 1.7127 (1.1884) Prec@1 54.688 (70.091) Prec@5 81.250 (89.956)
* Prec@1 65.786 Prec@5 86.670 Loss@ 1.414
==>>[2018-06-29 16:41:35] [Epoch=088/150] [Need: 70:35:10] [learning_rate=None] [Best : Accuracy(T1/T5)=65.99/86.86, Error=34.01/13.14]
Epoch: [88][0/10010] Time 3.117 (3.117) Data 2.947 (2.947) Loss 1.3161 (1.3161) Prec@1 68.750 (68.750) Prec@5 85.156 (85.156)
Epoch: [88][200/10010] Time 0.395 (0.412) Data 0.001 (0.016) Loss 1.4328 (1.6233) Prec@1 66.406 (62.636) Prec@5 85.938 (83.034)
Epoch: [88][400/10010] Time 0.396 (0.406) Data 0.000 (0.008) Loss 1.8782 (1.6316) Prec@1 59.375 (62.342) Prec@5 77.344 (82.731)
Epoch: [88][600/10010] Time 0.397 (0.403) Data 0.000 (0.006) Loss 1.4569 (1.6207) Prec@1 68.750 (62.574) Prec@5 87.500 (82.875)
Epoch: [88][800/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 1.9381 (1.6212) Prec@1 57.031 (62.609) Prec@5 80.469 (82.931)
Epoch: [88][1000/10010] Time 0.397 (0.402) Data 0.001 (0.004) Loss 1.5044 (1.6249) Prec@1 60.156 (62.523) Prec@5 86.719 (82.903)
Epoch: [88][1200/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 1.8386 (1.6260) Prec@1 65.625 (62.559) Prec@5 77.344 (82.842)
Epoch: [88][1400/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 1.8081 (1.6275) Prec@1 62.500 (62.479) Prec@5 77.344 (82.828)
Epoch: [88][1600/10010] Time 0.399 (0.401) Data 0.000 (0.002) Loss 1.4533 (1.6278) Prec@1 63.281 (62.491) Prec@5 85.156 (82.855)
Epoch: [88][1800/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.4803 (1.6281) Prec@1 63.281 (62.486) Prec@5 85.156 (82.836)
Epoch: [88][2000/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.6860 (1.6295) Prec@1 57.031 (62.461) Prec@5 83.594 (82.800)
Epoch: [88][2200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.6142 (1.6297) Prec@1 64.062 (62.434) Prec@5 85.938 (82.805)
Epoch: [88][2400/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.8940 (1.6298) Prec@1 56.250 (62.436) Prec@5 78.906 (82.821)
Epoch: [88][2600/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.7277 (1.6311) Prec@1 60.938 (62.416) Prec@5 84.375 (82.791)
Epoch: [88][2800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.5018 (1.6307) Prec@1 59.375 (62.395) Prec@5 83.594 (82.790)
Epoch: [88][3000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.7346 (1.6294) Prec@1 62.500 (62.393) Prec@5 82.031 (82.808)
Epoch: [88][3200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.3166 (1.6292) Prec@1 67.188 (62.383) Prec@5 88.281 (82.810)
Epoch: [88][3400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.6592 (1.6301) Prec@1 62.500 (62.372) Prec@5 77.344 (82.804)
Epoch: [88][3600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.7633 (1.6301) Prec@1 60.156 (62.361) Prec@5 81.250 (82.826)
Epoch: [88][3800/10010] Time 0.393 (0.400) Data 0.000 (0.001) Loss 1.9717 (1.6324) Prec@1 58.594 (62.308) Prec@5 77.344 (82.799)
Epoch: [88][4000/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 1.4677 (1.6318) Prec@1 64.844 (62.322) Prec@5 85.156 (82.817)
Epoch: [88][4200/10010] Time 0.396 (0.400) Data 0.001 (0.001) Loss 1.8172 (1.6320) Prec@1 60.156 (62.299) Prec@5 77.344 (82.818)
Epoch: [88][4400/10010] Time 0.398 (0.400) Data 0.001 (0.001) Loss 1.8805 (1.6317) Prec@1 57.812 (62.305) Prec@5 78.125 (82.828)
Epoch: [88][4600/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.6289 (1.6320) Prec@1 63.281 (62.293) Prec@5 86.719 (82.827)
Epoch: [88][4800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.6218 (1.6311) Prec@1 59.375 (62.314) Prec@5 83.594 (82.845)
Epoch: [88][5000/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 2.1381 (1.6317) Prec@1 52.344 (62.291) Prec@5 75.000 (82.832)
Epoch: [88][5200/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.9349 (1.6320) Prec@1 57.812 (62.276) Prec@5 81.250 (82.828)
Epoch: [88][5400/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 1.6978 (1.6315) Prec@1 61.719 (62.288) Prec@5 82.031 (82.842)
Epoch: [88][5600/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 2.1042 (1.6324) Prec@1 52.344 (62.277) Prec@5 75.000 (82.837)
Epoch: [88][5800/10010] Time 0.406 (0.400) Data 0.001 (0.001) Loss 1.4799 (1.6324) Prec@1 64.062 (62.273) Prec@5 84.375 (82.839)
Epoch: [88][6000/10010] Time 0.391 (0.400) Data 0.000 (0.001) Loss 1.6835 (1.6324) Prec@1 58.594 (62.274) Prec@5 82.812 (82.841)
Epoch: [88][6200/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.7430 (1.6326) Prec@1 60.938 (62.275) Prec@5 83.594 (82.837)
Epoch: [88][6400/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.4913 (1.6327) Prec@1 65.625 (62.280) Prec@5 85.938 (82.827)
Epoch: [88][6600/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.8196 (1.6327) Prec@1 58.594 (62.286) Prec@5 82.031 (82.824)
Epoch: [88][6800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.8459 (1.6329) Prec@1 54.688 (62.279) Prec@5 74.219 (82.813)
Epoch: [88][7000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.4113 (1.6329) Prec@1 64.844 (62.281) Prec@5 86.719 (82.816)
Epoch: [88][7200/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.6123 (1.6335) Prec@1 62.500 (62.275) Prec@5 85.938 (82.807)
Epoch: [88][7400/10010] Time 0.406 (0.400) Data 0.000 (0.001) Loss 1.4923 (1.6333) Prec@1 67.969 (62.280) Prec@5 83.594 (82.808)
Epoch: [88][7600/10010] Time 0.398 (0.400) Data 0.000 (0.001) Loss 1.6516 (1.6335) Prec@1 60.156 (62.280) Prec@5 81.250 (82.803)
Epoch: [88][7800/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.4055 (1.6335) Prec@1 64.062 (62.283) Prec@5 85.938 (82.806)
Epoch: [88][8000/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.7983 (1.6332) Prec@1 59.375 (62.290) Prec@5 78.125 (82.804)
Epoch: [88][8200/10010] Time 0.409 (0.400) Data 0.000 (0.001) Loss 1.6634 (1.6332) Prec@1 58.594 (62.290) Prec@5 83.594 (82.803)
Epoch: [88][8400/10010] Time 0.398 (0.400) Data 0.001 (0.001) Loss 1.5203 (1.6334) Prec@1 63.281 (62.292) Prec@5 83.594 (82.799)
Epoch: [88][8600/10010] Time 0.391 (0.400) Data 0.000 (0.001) Loss 1.7399 (1.6339) Prec@1 60.156 (62.281) Prec@5 84.375 (82.795)
Epoch: [88][8800/10010] Time 0.393 (0.400) Data 0.001 (0.001) Loss 1.6996 (1.6342) Prec@1 63.281 (62.283) Prec@5 83.594 (82.790)
Epoch: [88][9000/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.5262 (1.6347) Prec@1 60.938 (62.285) Prec@5 81.250 (82.784)
Epoch: [88][9200/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.7065 (1.6349) Prec@1 61.719 (62.283) Prec@5 81.250 (82.780)
Epoch: [88][9400/10010] Time 0.402 (0.400) Data 0.000 (0.001) Loss 1.7667 (1.6348) Prec@1 61.719 (62.284) Prec@5 82.812 (82.784)
Epoch: [88][9600/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.5594 (1.6349) Prec@1 67.969 (62.285) Prec@5 84.375 (82.781)
Epoch: [88][9800/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 1.6065 (1.6352) Prec@1 66.406 (62.282) Prec@5 82.031 (82.781)
Epoch: [88][10000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.9557 (1.6351) Prec@1 61.719 (62.279) Prec@5 81.250 (82.785)
Test: [0/391] Time 4.081 (4.081) Loss 0.5880 (0.5880) Prec@1 86.719 (86.719) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.145 (0.248) Loss 1.3180 (1.1843) Prec@1 66.406 (70.219) Prec@5 88.281 (89.824)
* Prec@1 66.124 Prec@5 86.734 Loss@ 1.405
==>>[2018-06-29 17:49:50] [Epoch=089/150] [Need: 69:23:45] [learning_rate=None] [Best : Accuracy(T1/T5)=66.12/86.86, Error=33.88/13.14]
Epoch: [89][0/10010] Time 3.290 (3.290) Data 3.122 (3.122) Loss 1.6610 (1.6610) Prec@1 64.062 (64.062) Prec@5 83.594 (83.594)
Epoch: [89][200/10010] Time 0.395 (0.413) Data 0.000 (0.019) Loss 1.6779 (1.6176) Prec@1 60.938 (62.912) Prec@5 80.469 (83.147)
Epoch: [89][400/10010] Time 0.391 (0.406) Data 0.000 (0.010) Loss 1.5916 (1.6222) Prec@1 60.938 (62.753) Prec@5 81.250 (82.966)
Epoch: [89][600/10010] Time 0.395 (0.404) Data 0.000 (0.007) Loss 1.7084 (1.6269) Prec@1 59.375 (62.652) Prec@5 85.938 (82.920)
Epoch: [89][800/10010] Time 0.405 (0.403) Data 0.000 (0.005) Loss 1.4481 (1.6275) Prec@1 65.625 (62.621) Prec@5 87.500 (82.902)
Epoch: [89][1000/10010] Time 0.399 (0.402) Data 0.000 (0.004) Loss 1.9331 (1.6307) Prec@1 56.250 (62.484) Prec@5 76.562 (82.878)
Epoch: [89][1200/10010] Time 0.398 (0.401) Data 0.001 (0.004) Loss 1.6716 (1.6275) Prec@1 60.938 (62.503) Prec@5 80.469 (82.933)
Epoch: [89][1400/10010] Time 0.399 (0.401) Data 0.001 (0.003) Loss 1.6514 (1.6257) Prec@1 62.500 (62.539) Prec@5 82.031 (82.988)
Epoch: [89][1600/10010] Time 0.396 (0.401) Data 0.001 (0.003) Loss 1.7396 (1.6251) Prec@1 62.500 (62.554) Prec@5 78.906 (82.971)
Epoch: [89][1800/10010] Time 0.404 (0.401) Data 0.001 (0.003) Loss 1.6842 (1.6259) Prec@1 62.500 (62.499) Prec@5 82.812 (82.984)
Epoch: [89][2000/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 1.8195 (1.6268) Prec@1 55.469 (62.511) Prec@5 82.031 (82.969)
Epoch: [89][2200/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 1.6832 (1.6270) Prec@1 60.156 (62.510) Prec@5 80.469 (82.934)
Epoch: [89][2400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.6570 (1.6291) Prec@1 57.812 (62.474) Prec@5 79.688 (82.878)
Epoch: [89][2600/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 1.6958 (1.6283) Prec@1 67.188 (62.469) Prec@5 85.938 (82.894)
Epoch: [89][2800/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.4683 (1.6280) Prec@1 60.156 (62.479) Prec@5 89.062 (82.908)
Epoch: [89][3000/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.4849 (1.6270) Prec@1 66.406 (62.486) Prec@5 82.031 (82.921)
Epoch: [89][3200/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.6768 (1.6298) Prec@1 65.625 (62.439) Prec@5 82.812 (82.871)
Epoch: [89][3400/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.5454 (1.6306) Prec@1 67.969 (62.399) Prec@5 85.156 (82.871)
Epoch: [89][3600/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.6135 (1.6304) Prec@1 63.281 (62.390) Prec@5 81.250 (82.855)
Epoch: [89][3800/10010] Time 0.401 (0.400) Data 0.001 (0.001) Loss 1.6343 (1.6291) Prec@1 60.938 (62.411) Prec@5 82.031 (82.874)
Epoch: [89][4000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.4548 (1.6303) Prec@1 65.625 (62.403) Prec@5 85.938 (82.860)
Epoch: [89][4200/10010] Time 0.390 (0.400) Data 0.000 (0.001) Loss 1.3533 (1.6300) Prec@1 64.844 (62.389) Prec@5 90.625 (82.864)
Epoch: [89][4400/10010] Time 0.403 (0.400) Data 0.000 (0.001) Loss 1.4202 (1.6292) Prec@1 63.281 (62.405) Prec@5 86.719 (82.868)
Epoch: [89][4600/10010] Time 0.404 (0.400) Data 0.000 (0.001) Loss 1.6305 (1.6288) Prec@1 60.938 (62.418) Prec@5 81.250 (82.875)
Epoch: [89][4800/10010] Time 0.394 (0.400) Data 0.000 (0.001) Loss 1.3512 (1.6288) Prec@1 64.062 (62.412) Prec@5 87.500 (82.871)
Epoch: [89][5000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.5743 (1.6285) Prec@1 60.938 (62.413) Prec@5 84.375 (82.882)
Epoch: [89][5200/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 2.1458 (1.6291) Prec@1 52.344 (62.412) Prec@5 79.688 (82.876)
Epoch: [89][5400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.5566 (1.6290) Prec@1 68.750 (62.411) Prec@5 85.156 (82.873)
Epoch: [89][5600/10010] Time 0.404 (0.399) Data 0.001 (0.001) Loss 1.8017 (1.6289) Prec@1 58.594 (62.405) Prec@5 76.562 (82.873)
Epoch: [89][5800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6199 (1.6284) Prec@1 58.594 (62.416) Prec@5 81.250 (82.883)
Epoch: [89][6000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.7451 (1.6285) Prec@1 54.688 (62.415) Prec@5 87.500 (82.881)
Epoch: [89][6200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.5932 (1.6289) Prec@1 57.031 (62.408) Prec@5 81.250 (82.871)
Epoch: [89][6400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.0311 (1.6294) Prec@1 73.438 (62.396) Prec@5 92.188 (82.862)
Epoch: [89][6600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.5321 (1.6302) Prec@1 64.062 (62.390) Prec@5 86.719 (82.851)
Epoch: [89][6800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.6514 (1.6304) Prec@1 64.844 (62.383) Prec@5 82.812 (82.845)
Epoch: [89][7000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.7379 (1.6306) Prec@1 61.719 (62.375) Prec@5 80.469 (82.844)
Epoch: [89][7200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.7789 (1.6311) Prec@1 58.594 (62.373) Prec@5 79.688 (82.844)
Epoch: [89][7400/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 1.4565 (1.6310) Prec@1 66.406 (62.369) Prec@5 85.938 (82.845)
Epoch: [89][7600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.8031 (1.6313) Prec@1 63.281 (62.364) Prec@5 80.469 (82.834)
Epoch: [89][7800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.3461 (1.6318) Prec@1 67.969 (62.359) Prec@5 89.062 (82.824)
Epoch: [89][8000/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.6215 (1.6318) Prec@1 61.719 (62.372) Prec@5 82.031 (82.823)
Epoch: [89][8200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.8159 (1.6321) Prec@1 60.938 (62.366) Prec@5 81.250 (82.816)
Epoch: [89][8400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8019 (1.6327) Prec@1 59.375 (62.352) Prec@5 79.688 (82.805)
Epoch: [89][8600/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 1.4955 (1.6325) Prec@1 65.625 (62.352) Prec@5 82.031 (82.810)
Epoch: [89][8800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.5617 (1.6326) Prec@1 59.375 (62.358) Prec@5 80.469 (82.811)
Epoch: [89][9000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.6674 (1.6324) Prec@1 62.500 (62.365) Prec@5 81.250 (82.815)
Epoch: [89][9200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.5701 (1.6326) Prec@1 64.062 (62.368) Prec@5 85.156 (82.809)
Epoch: [89][9400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.6276 (1.6326) Prec@1 54.688 (62.361) Prec@5 84.375 (82.808)
Epoch: [89][9600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.7546 (1.6334) Prec@1 62.500 (62.349) Prec@5 78.125 (82.793)
Epoch: [89][9800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9055 (1.6338) Prec@1 55.469 (62.343) Prec@5 81.250 (82.782)
Epoch: [89][10000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.5656 (1.6341) Prec@1 64.844 (62.340) Prec@5 85.156 (82.776)
Test: [0/391] Time 4.147 (4.147) Loss 0.7185 (0.7185) Prec@1 85.156 (85.156) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.169 (0.267) Loss 1.6411 (1.1939) Prec@1 59.375 (70.258) Prec@5 82.031 (89.925)
* Prec@1 66.068 Prec@5 86.696 Loss@ 1.412
==>>[2018-06-29 18:58:05] [Epoch=090/150] [Need: 68:14:29] [learning_rate=None] [Best : Accuracy(T1/T5)=66.12/86.86, Error=33.88/13.14]
Epoch: [90][0/10010] Time 3.901 (3.901) Data 3.738 (3.738) Loss 1.4646 (1.4646) Prec@1 68.750 (68.750) Prec@5 86.719 (86.719)
Epoch: [90][200/10010] Time 0.401 (0.416) Data 0.000 (0.019) Loss 1.6386 (1.5969) Prec@1 60.156 (62.986) Prec@5 83.594 (83.217)
Epoch: [90][400/10010] Time 0.389 (0.408) Data 0.001 (0.010) Loss 1.4235 (1.5929) Prec@1 67.969 (63.137) Prec@5 87.500 (83.282)
Epoch: [90][600/10010] Time 0.395 (0.405) Data 0.000 (0.007) Loss 1.5165 (1.5944) Prec@1 61.719 (62.943) Prec@5 83.594 (83.349)
Epoch: [90][800/10010] Time 0.401 (0.403) Data 0.000 (0.005) Loss 1.6945 (1.5942) Prec@1 63.281 (63.009) Prec@5 83.594 (83.335)
Epoch: [90][1000/10010] Time 0.400 (0.402) Data 0.000 (0.004) Loss 1.7916 (1.5952) Prec@1 60.156 (63.039) Prec@5 80.469 (83.312)
Epoch: [90][1200/10010] Time 0.392 (0.402) Data 0.000 (0.004) Loss 1.3753 (1.5933) Prec@1 65.625 (63.138) Prec@5 86.719 (83.370)
Epoch: [90][1400/10010] Time 0.401 (0.401) Data 0.001 (0.003) Loss 1.6626 (1.5906) Prec@1 60.156 (63.173) Prec@5 81.250 (83.377)
Epoch: [90][1600/10010] Time 0.408 (0.401) Data 0.000 (0.003) Loss 1.1991 (1.5887) Prec@1 70.312 (63.232) Prec@5 91.406 (83.427)
Epoch: [90][1800/10010] Time 0.400 (0.401) Data 0.001 (0.003) Loss 1.5819 (1.5889) Prec@1 62.500 (63.238) Prec@5 85.938 (83.428)
Epoch: [90][2000/10010] Time 0.398 (0.401) Data 0.001 (0.002) Loss 1.3539 (1.5864) Prec@1 66.406 (63.287) Prec@5 84.375 (83.477)
Epoch: [90][2200/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 1.5306 (1.5858) Prec@1 62.500 (63.293) Prec@5 82.031 (83.487)
Epoch: [90][2400/10010] Time 0.406 (0.400) Data 0.000 (0.002) Loss 1.5340 (1.5854) Prec@1 63.281 (63.346) Prec@5 82.031 (83.472)
Epoch: [90][2600/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 1.4096 (1.5849) Prec@1 64.062 (63.362) Prec@5 83.594 (83.465)
Epoch: [90][2800/10010] Time 0.396 (0.400) Data 0.001 (0.002) Loss 1.2688 (1.5839) Prec@1 69.531 (63.386) Prec@5 89.062 (83.478)
Epoch: [90][3000/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.6221 (1.5816) Prec@1 64.844 (63.425) Prec@5 84.375 (83.498)
Epoch: [90][3200/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 1.6280 (1.5811) Prec@1 60.938 (63.444) Prec@5 82.812 (83.518)
Epoch: [90][3400/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.4490 (1.5812) Prec@1 64.062 (63.448) Prec@5 89.062 (83.514)
Epoch: [90][3600/10010] Time 0.406 (0.400) Data 0.001 (0.002) Loss 1.7308 (1.5793) Prec@1 60.938 (63.500) Prec@5 82.812 (83.536)
Epoch: [90][3800/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 1.9655 (1.5773) Prec@1 55.469 (63.526) Prec@5 79.688 (83.560)
Epoch: [90][4000/10010] Time 0.396 (0.400) Data 0.000 (0.001) Loss 1.3438 (1.5769) Prec@1 69.531 (63.524) Prec@5 88.281 (83.565)
Epoch: [90][4200/10010] Time 0.404 (0.400) Data 0.001 (0.001) Loss 1.6579 (1.5777) Prec@1 60.156 (63.525) Prec@5 82.812 (83.549)
Epoch: [90][4400/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.3662 (1.5777) Prec@1 68.750 (63.526) Prec@5 89.062 (83.548)
Epoch: [90][4600/10010] Time 0.391 (0.400) Data 0.001 (0.001) Loss 1.5360 (1.5769) Prec@1 64.844 (63.538) Prec@5 82.812 (83.574)
Epoch: [90][4800/10010] Time 0.400 (0.400) Data 0.000 (0.001) Loss 1.6318 (1.5762) Prec@1 63.281 (63.546) Prec@5 84.375 (83.587)
Epoch: [90][5000/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.5263 (1.5762) Prec@1 61.719 (63.554) Prec@5 86.719 (83.584)
Epoch: [90][5200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.5194 (1.5758) Prec@1 60.156 (63.570) Prec@5 84.375 (83.593)
Epoch: [90][5400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.4633 (1.5755) Prec@1 65.625 (63.586) Prec@5 85.938 (83.600)
Epoch: [90][5600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.3309 (1.5749) Prec@1 69.531 (63.604) Prec@5 89.062 (83.608)
Epoch: [90][5800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.6241 (1.5748) Prec@1 66.406 (63.607) Prec@5 82.812 (83.607)
Epoch: [90][6000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6944 (1.5737) Prec@1 58.594 (63.620) Prec@5 79.688 (83.628)
Epoch: [90][6200/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.5363 (1.5731) Prec@1 67.969 (63.642) Prec@5 80.469 (83.626)
Epoch: [90][6400/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 1.7121 (1.5723) Prec@1 59.375 (63.656) Prec@5 83.594 (83.642)
Epoch: [90][6600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8828 (1.5716) Prec@1 57.812 (63.673) Prec@5 76.562 (83.653)
Epoch: [90][6800/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 1.5813 (1.5711) Prec@1 57.031 (63.675) Prec@5 85.938 (83.660)
Epoch: [90][7000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.7607 (1.5704) Prec@1 62.500 (63.689) Prec@5 79.688 (83.665)
Epoch: [90][7200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.5571 (1.5703) Prec@1 65.625 (63.696) Prec@5 82.812 (83.672)
Epoch: [90][7400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.6483 (1.5699) Prec@1 61.719 (63.720) Prec@5 82.031 (83.672)
Epoch: [90][7600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.3623 (1.5694) Prec@1 71.094 (63.730) Prec@5 85.156 (83.679)
Epoch: [90][7800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.3949 (1.5687) Prec@1 63.281 (63.740) Prec@5 87.500 (83.692)
Epoch: [90][8000/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 1.5278 (1.5678) Prec@1 62.500 (63.751) Prec@5 83.594 (83.706)
Epoch: [90][8200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.5488 (1.5676) Prec@1 63.281 (63.756) Prec@5 82.031 (83.703)
Epoch: [90][8400/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.5216 (1.5675) Prec@1 61.719 (63.757) Prec@5 83.594 (83.703)
Epoch: [90][8600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.6968 (1.5675) Prec@1 64.844 (63.765) Prec@5 82.031 (83.705)
Epoch: [90][8800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.4856 (1.5673) Prec@1 71.094 (63.775) Prec@5 83.594 (83.707)
Epoch: [90][9000/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 1.5792 (1.5670) Prec@1 64.844 (63.784) Prec@5 79.688 (83.710)
Epoch: [90][9200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.3926 (1.5669) Prec@1 67.969 (63.792) Prec@5 85.938 (83.712)
Epoch: [90][9400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9328 (1.5661) Prec@1 57.812 (63.804) Prec@5 77.344 (83.725)
Epoch: [90][9600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.4783 (1.5660) Prec@1 63.281 (63.798) Prec@5 87.500 (83.724)
Epoch: [90][9800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.3164 (1.5659) Prec@1 70.312 (63.801) Prec@5 88.281 (83.729)
Epoch: [90][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.3035 (1.5657) Prec@1 68.750 (63.804) Prec@5 86.719 (83.729)
Test: [0/391] Time 3.777 (3.777) Loss 0.6497 (0.6497) Prec@1 88.281 (88.281) Prec@5 96.094 (96.094)
Test: [200/391] Time 0.141 (0.250) Loss 1.4885 (1.1371) Prec@1 62.500 (71.424) Prec@5 83.594 (90.652)
* Prec@1 67.174 Prec@5 87.440 Loss@ 1.355
==>>[2018-06-29 20:06:17] [Epoch=091/150] [Need: 67:03:35] [learning_rate=None] [Best : Accuracy(T1/T5)=67.17/87.44, Error=32.83/12.56]
Epoch: [91][0/10010] Time 3.095 (3.095) Data 2.929 (2.929) Loss 1.4167 (1.4167) Prec@1 66.406 (66.406) Prec@5 86.719 (86.719)
Epoch: [91][200/10010] Time 0.401 (0.412) Data 0.000 (0.016) Loss 2.2536 (2.3021) Prec@1 46.875 (48.581) Prec@5 74.219 (73.231)
Epoch: [91][400/10010] Time 0.398 (0.405) Data 0.000 (0.008) Loss 2.1621 (2.3364) Prec@1 46.094 (47.851) Prec@5 78.125 (72.648)
Epoch: [91][600/10010] Time 0.397 (0.403) Data 0.000 (0.006) Loss 2.2006 (2.3443) Prec@1 50.781 (47.698) Prec@5 72.656 (72.472)
Epoch: [91][800/10010] Time 0.401 (0.402) Data 0.000 (0.004) Loss 2.0464 (2.3467) Prec@1 51.562 (47.767) Prec@5 77.344 (72.423)
Epoch: [91][1000/10010] Time 0.399 (0.401) Data 0.001 (0.004) Loss 2.7978 (2.3429) Prec@1 39.062 (47.875) Prec@5 60.156 (72.442)
Epoch: [91][1200/10010] Time 0.400 (0.401) Data 0.001 (0.003) Loss 1.9827 (2.3374) Prec@1 53.906 (47.992) Prec@5 77.344 (72.496)
Epoch: [91][1400/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.5521 (2.3387) Prec@1 43.750 (47.908) Prec@5 67.969 (72.443)
Epoch: [91][1600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.3891 (2.3362) Prec@1 46.094 (47.978) Prec@5 71.875 (72.462)
Epoch: [91][1800/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.3073 (2.3336) Prec@1 47.656 (48.016) Prec@5 71.875 (72.504)
Epoch: [91][2000/10010] Time 0.397 (0.400) Data 0.001 (0.002) Loss 2.2807 (2.3314) Prec@1 42.188 (48.038) Prec@5 76.562 (72.517)
Epoch: [91][2200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.0027 (2.3307) Prec@1 52.344 (48.070) Prec@5 72.656 (72.513)
Epoch: [91][2400/10010] Time 0.389 (0.400) Data 0.000 (0.002) Loss 2.1871 (2.3282) Prec@1 52.344 (48.103) Prec@5 73.438 (72.591)
Epoch: [91][2600/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.2043 (2.3272) Prec@1 50.781 (48.122) Prec@5 71.875 (72.611)
Epoch: [91][2800/10010] Time 0.400 (0.400) Data 0.001 (0.002) Loss 1.9874 (2.3250) Prec@1 51.562 (48.164) Prec@5 79.688 (72.636)
Epoch: [91][3000/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 2.4581 (2.3235) Prec@1 47.656 (48.215) Prec@5 67.969 (72.668)
Epoch: [91][3200/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.5290 (2.3219) Prec@1 45.312 (48.268) Prec@5 67.969 (72.686)
Epoch: [91][3400/10010] Time 0.391 (0.399) Data 0.001 (0.001) Loss 2.2341 (2.3200) Prec@1 47.656 (48.308) Prec@5 70.312 (72.735)
Epoch: [91][3600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.2748 (2.3183) Prec@1 48.438 (48.334) Prec@5 68.750 (72.762)
Epoch: [91][3800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0172 (2.3169) Prec@1 51.562 (48.374) Prec@5 78.125 (72.780)
Epoch: [91][4000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2976 (2.3158) Prec@1 39.062 (48.384) Prec@5 75.000 (72.785)
Epoch: [91][4200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.4856 (2.3152) Prec@1 49.219 (48.423) Prec@5 69.531 (72.795)
Epoch: [91][4400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.9623 (2.3134) Prec@1 55.469 (48.464) Prec@5 77.344 (72.804)
Epoch: [91][4600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.2036 (2.3127) Prec@1 51.562 (48.499) Prec@5 72.656 (72.820)
Epoch: [91][4800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.7219 (2.3113) Prec@1 55.469 (48.532) Prec@5 82.031 (72.843)
Epoch: [91][5000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.4858 (2.3115) Prec@1 45.312 (48.533) Prec@5 71.094 (72.837)
Epoch: [91][5200/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 2.4488 (2.3100) Prec@1 48.438 (48.554) Prec@5 67.188 (72.852)
Epoch: [91][5400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.4636 (2.3086) Prec@1 46.094 (48.590) Prec@5 75.781 (72.885)
Epoch: [91][5600/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 2.3125 (2.3070) Prec@1 45.312 (48.622) Prec@5 76.562 (72.911)
Epoch: [91][5800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.1045 (2.3048) Prec@1 55.469 (48.661) Prec@5 75.000 (72.945)
Epoch: [91][6000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2357 (2.3044) Prec@1 48.438 (48.681) Prec@5 75.000 (72.947)
Epoch: [91][6200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.3169 (2.3036) Prec@1 50.781 (48.702) Prec@5 71.875 (72.960)
Epoch: [91][6400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.1566 (2.3026) Prec@1 52.344 (48.732) Prec@5 72.656 (72.965)
Epoch: [91][6600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.3755 (2.3020) Prec@1 46.875 (48.750) Prec@5 68.750 (72.970)
Epoch: [91][6800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2106 (2.3005) Prec@1 56.250 (48.779) Prec@5 76.562 (72.989)
Epoch: [91][7000/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 1.8199 (2.2996) Prec@1 57.812 (48.796) Prec@5 79.688 (72.996)
Epoch: [91][7200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.6480 (2.2986) Prec@1 44.531 (48.824) Prec@5 67.188 (73.020)
Epoch: [91][7400/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.1298 (2.2970) Prec@1 51.562 (48.858) Prec@5 74.219 (73.037)
Epoch: [91][7600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.5493 (2.2953) Prec@1 42.969 (48.897) Prec@5 70.312 (73.058)
Epoch: [91][7800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.8402 (2.2939) Prec@1 62.500 (48.927) Prec@5 78.906 (73.082)
Epoch: [91][8000/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 2.0701 (2.2929) Prec@1 44.531 (48.952) Prec@5 78.906 (73.102)
Epoch: [91][8200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2989 (2.2924) Prec@1 48.438 (48.963) Prec@5 71.094 (73.110)
Epoch: [91][8400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.9888 (2.2913) Prec@1 54.688 (48.980) Prec@5 75.000 (73.128)
Epoch: [91][8600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.3311 (2.2901) Prec@1 52.344 (49.011) Prec@5 69.531 (73.147)
Epoch: [91][8800/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 1.9777 (2.2894) Prec@1 49.219 (49.025) Prec@5 79.688 (73.165)
Epoch: [91][9000/10010] Time 0.403 (0.399) Data 0.001 (0.001) Loss 2.3020 (2.2889) Prec@1 50.781 (49.040) Prec@5 70.312 (73.170)
Epoch: [91][9200/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.2776 (2.2887) Prec@1 48.438 (49.050) Prec@5 69.531 (73.177)
Epoch: [91][9400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.0333 (2.2875) Prec@1 51.562 (49.080) Prec@5 76.562 (73.195)
Epoch: [91][9600/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.1998 (2.2862) Prec@1 53.906 (49.101) Prec@5 77.344 (73.221)
Epoch: [91][9800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.6885 (2.2861) Prec@1 47.656 (49.107) Prec@5 67.188 (73.224)
Epoch: [91][10000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.4154 (2.2853) Prec@1 46.875 (49.120) Prec@5 73.438 (73.236)
Test: [0/391] Time 3.282 (3.282) Loss 1.1495 (1.1495) Prec@1 70.312 (70.312) Prec@5 89.844 (89.844)
Test: [200/391] Time 0.146 (0.254) Loss 2.0462 (1.7472) Prec@1 51.562 (57.350) Prec@5 80.469 (82.327)
* Prec@1 54.410 Prec@5 78.764 Loss@ 1.956
==>>[2018-06-29 21:14:26] [Epoch=092/150] [Need: 65:52:52] [learning_rate=None] [Best : Accuracy(T1/T5)=67.17/87.44, Error=32.83/12.56]
Epoch: [92][0/10010] Time 3.362 (3.362) Data 3.210 (3.210) Loss 1.9559 (1.9559) Prec@1 57.031 (57.031) Prec@5 75.000 (75.000)
Epoch: [92][200/10010] Time 0.403 (0.413) Data 0.000 (0.017) Loss 2.1339 (2.2197) Prec@1 55.469 (50.711) Prec@5 72.656 (74.052)
Epoch: [92][400/10010] Time 0.408 (0.406) Data 0.000 (0.009) Loss 2.1166 (2.2144) Prec@1 50.781 (50.764) Prec@5 72.656 (74.170)
Epoch: [92][600/10010] Time 0.390 (0.404) Data 0.001 (0.006) Loss 1.8155 (2.2142) Prec@1 57.812 (50.663) Prec@5 78.125 (74.154)
Epoch: [92][800/10010] Time 0.396 (0.402) Data 0.000 (0.005) Loss 2.0677 (2.2140) Prec@1 50.000 (50.576) Prec@5 78.125 (74.189)
Epoch: [92][1000/10010] Time 0.396 (0.402) Data 0.000 (0.004) Loss 2.1148 (2.2166) Prec@1 50.781 (50.542) Prec@5 78.125 (74.183)
Epoch: [92][1200/10010] Time 0.405 (0.401) Data 0.000 (0.003) Loss 2.2799 (2.2136) Prec@1 48.438 (50.615) Prec@5 70.312 (74.246)
Epoch: [92][1400/10010] Time 0.401 (0.401) Data 0.001 (0.003) Loss 2.4002 (2.2147) Prec@1 52.344 (50.575) Prec@5 68.750 (74.237)
Epoch: [92][1600/10010] Time 0.401 (0.400) Data 0.001 (0.003) Loss 2.2979 (2.2163) Prec@1 47.656 (50.549) Prec@5 72.656 (74.202)
Epoch: [92][1800/10010] Time 0.401 (0.400) Data 0.001 (0.002) Loss 2.2861 (2.2174) Prec@1 53.906 (50.544) Prec@5 72.656 (74.170)
Epoch: [92][2000/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.7431 (2.2150) Prec@1 45.312 (50.590) Prec@5 68.750 (74.229)
Epoch: [92][2200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.2032 (2.2143) Prec@1 53.125 (50.584) Prec@5 72.656 (74.221)
Epoch: [92][2400/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.3036 (2.2148) Prec@1 50.000 (50.569) Prec@5 75.000 (74.215)
Epoch: [92][2600/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.2278 (2.2152) Prec@1 43.750 (50.587) Prec@5 75.000 (74.202)
Epoch: [92][2800/10010] Time 0.409 (0.400) Data 0.000 (0.002) Loss 1.7036 (2.2152) Prec@1 64.062 (50.576) Prec@5 84.375 (74.215)
Epoch: [92][3000/10010] Time 0.410 (0.400) Data 0.000 (0.002) Loss 1.9802 (2.2157) Prec@1 58.594 (50.572) Prec@5 76.562 (74.202)
Epoch: [92][3200/10010] Time 0.404 (0.400) Data 0.000 (0.002) Loss 2.1350 (2.2172) Prec@1 54.688 (50.544) Prec@5 74.219 (74.193)
Epoch: [92][3400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1645 (2.2172) Prec@1 44.531 (50.545) Prec@5 78.125 (74.202)
Epoch: [92][3600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2031 (2.2153) Prec@1 51.562 (50.583) Prec@5 74.219 (74.254)
Epoch: [92][3800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.3362 (2.2143) Prec@1 44.531 (50.591) Prec@5 72.656 (74.283)
Epoch: [92][4000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.0671 (2.2146) Prec@1 54.688 (50.577) Prec@5 75.781 (74.273)
Epoch: [92][4200/10010] Time 0.392 (0.399) Data 0.001 (0.001) Loss 2.1121 (2.2136) Prec@1 54.688 (50.599) Prec@5 74.219 (74.294)
Epoch: [92][4400/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 2.4421 (2.2139) Prec@1 45.312 (50.604) Prec@5 70.312 (74.301)
Epoch: [92][4600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2081 (2.2129) Prec@1 50.000 (50.606) Prec@5 74.219 (74.325)
Epoch: [92][4800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.3148 (2.2139) Prec@1 45.312 (50.584) Prec@5 70.312 (74.303)
Epoch: [92][5000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.9060 (2.2139) Prec@1 57.031 (50.587) Prec@5 79.688 (74.300)
Epoch: [92][5200/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.2598 (2.2143) Prec@1 50.000 (50.571) Prec@5 72.656 (74.289)
Epoch: [92][5400/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 2.0708 (2.2145) Prec@1 57.812 (50.569) Prec@5 76.562 (74.296)
Epoch: [92][5600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1538 (2.2140) Prec@1 54.688 (50.568) Prec@5 75.000 (74.300)
Epoch: [92][5800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.4488 (2.2143) Prec@1 53.125 (50.574) Prec@5 70.312 (74.300)
Epoch: [92][6000/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.1984 (2.2146) Prec@1 47.656 (50.570) Prec@5 74.219 (74.296)
Epoch: [92][6200/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.1770 (2.2149) Prec@1 48.438 (50.571) Prec@5 75.781 (74.288)
Epoch: [92][6400/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.6144 (2.2149) Prec@1 42.188 (50.576) Prec@5 69.531 (74.283)
Epoch: [92][6600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.0595 (2.2138) Prec@1 51.562 (50.596) Prec@5 79.688 (74.296)
Epoch: [92][6800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2263 (2.2140) Prec@1 50.000 (50.594) Prec@5 76.562 (74.293)
Epoch: [92][7000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.3172 (2.2143) Prec@1 46.094 (50.592) Prec@5 73.438 (74.294)
Epoch: [92][7200/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.2046 (2.2138) Prec@1 50.000 (50.601) Prec@5 72.656 (74.302)
Epoch: [92][7400/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 1.9544 (2.2142) Prec@1 57.812 (50.589) Prec@5 76.562 (74.292)
Epoch: [92][7600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.1023 (2.2142) Prec@1 48.438 (50.597) Prec@5 73.438 (74.301)
Epoch: [92][7800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.1589 (2.2140) Prec@1 50.000 (50.608) Prec@5 78.125 (74.298)
Epoch: [92][8000/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 2.1261 (2.2148) Prec@1 48.438 (50.587) Prec@5 73.438 (74.295)
Epoch: [92][8200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1887 (2.2140) Prec@1 51.562 (50.612) Prec@5 75.000 (74.307)
Epoch: [92][8400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.7847 (2.2136) Prec@1 43.750 (50.622) Prec@5 69.531 (74.311)
Epoch: [92][8600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.3089 (2.2129) Prec@1 49.219 (50.633) Prec@5 73.438 (74.323)
Epoch: [92][8800/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 2.0598 (2.2129) Prec@1 54.688 (50.631) Prec@5 75.000 (74.326)
Epoch: [92][9000/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.2688 (2.2127) Prec@1 50.781 (50.639) Prec@5 68.750 (74.328)
Epoch: [92][9200/10010] Time 0.411 (0.399) Data 0.000 (0.001) Loss 2.4517 (2.2125) Prec@1 49.219 (50.645) Prec@5 73.438 (74.329)
Epoch: [92][9400/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 2.6613 (2.2126) Prec@1 46.875 (50.651) Prec@5 67.188 (74.326)
Epoch: [92][9600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2262 (2.2120) Prec@1 52.344 (50.659) Prec@5 77.344 (74.339)
Epoch: [92][9800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0878 (2.2113) Prec@1 53.125 (50.670) Prec@5 77.344 (74.353)
Epoch: [92][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.4136 (2.2115) Prec@1 42.969 (50.662) Prec@5 74.219 (74.353)
Test: [0/391] Time 3.855 (3.855) Loss 1.0131 (1.0131) Prec@1 81.250 (81.250) Prec@5 88.281 (88.281)
Test: [200/391] Time 0.159 (0.246) Loss 2.4822 (1.6612) Prec@1 35.938 (59.282) Prec@5 71.094 (83.644)
* Prec@1 55.044 Prec@5 79.374 Loss@ 1.918
==>>[2018-06-29 22:22:32] [Epoch=093/150] [Need: 64:41:46] [learning_rate=None] [Best : Accuracy(T1/T5)=67.17/87.44, Error=32.83/12.56]
Epoch: [93][0/10010] Time 3.465 (3.465) Data 3.299 (3.299) Loss 2.0909 (2.0909) Prec@1 51.562 (51.562) Prec@5 75.000 (75.000)
Epoch: [93][200/10010] Time 0.400 (0.414) Data 0.000 (0.017) Loss 2.3012 (2.1749) Prec@1 46.094 (51.259) Prec@5 73.438 (75.120)
Epoch: [93][400/10010] Time 0.400 (0.406) Data 0.000 (0.009) Loss 1.7396 (2.1780) Prec@1 59.375 (51.241) Prec@5 78.906 (74.969)
Epoch: [93][600/10010] Time 0.400 (0.404) Data 0.000 (0.006) Loss 2.2014 (2.1764) Prec@1 53.125 (51.243) Prec@5 76.562 (74.904)
Epoch: [93][800/10010] Time 0.399 (0.402) Data 0.000 (0.005) Loss 2.2797 (2.1779) Prec@1 53.125 (51.186) Prec@5 75.000 (74.914)
Epoch: [93][1000/10010] Time 0.400 (0.401) Data 0.001 (0.004) Loss 2.1012 (2.1792) Prec@1 50.781 (51.253) Prec@5 73.438 (74.849)
Epoch: [93][1200/10010] Time 0.408 (0.401) Data 0.001 (0.003) Loss 2.0189 (2.1752) Prec@1 53.125 (51.320) Prec@5 78.125 (74.896)
Epoch: [93][1400/10010] Time 0.407 (0.401) Data 0.000 (0.003) Loss 2.0360 (2.1762) Prec@1 56.250 (51.279) Prec@5 76.562 (74.855)
Epoch: [93][1600/10010] Time 0.399 (0.400) Data 0.000 (0.003) Loss 1.8491 (2.1781) Prec@1 59.375 (51.318) Prec@5 76.562 (74.815)
Epoch: [93][1800/10010] Time 0.405 (0.400) Data 0.000 (0.002) Loss 1.9361 (2.1781) Prec@1 52.344 (51.301) Prec@5 75.781 (74.790)
Epoch: [93][2000/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.0198 (2.1786) Prec@1 56.250 (51.308) Prec@5 78.125 (74.808)
Epoch: [93][2200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.8452 (2.1788) Prec@1 55.469 (51.297) Prec@5 82.031 (74.808)
Epoch: [93][2400/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 2.3208 (2.1801) Prec@1 47.656 (51.264) Prec@5 71.875 (74.792)
Epoch: [93][2600/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.3197 (2.1803) Prec@1 54.688 (51.266) Prec@5 72.656 (74.800)
Epoch: [93][2800/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.6531 (2.1804) Prec@1 46.875 (51.290) Prec@5 67.969 (74.820)
Epoch: [93][3000/10010] Time 0.399 (0.399) Data 0.000 (0.002) Loss 2.2103 (2.1813) Prec@1 49.219 (51.284) Prec@5 71.094 (74.809)
Epoch: [93][3200/10010] Time 0.406 (0.399) Data 0.000 (0.002) Loss 2.1086 (2.1799) Prec@1 57.031 (51.331) Prec@5 75.781 (74.827)
Epoch: [93][3400/10010] Time 0.397 (0.399) Data 0.000 (0.002) Loss 1.9021 (2.1794) Prec@1 57.812 (51.343) Prec@5 79.688 (74.847)
Epoch: [93][3600/10010] Time 0.388 (0.399) Data 0.000 (0.001) Loss 2.1131 (2.1803) Prec@1 56.250 (51.325) Prec@5 75.000 (74.841)
Epoch: [93][3800/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 2.1626 (2.1803) Prec@1 47.656 (51.326) Prec@5 74.219 (74.841)
Epoch: [93][4000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0245 (2.1816) Prec@1 53.906 (51.298) Prec@5 78.906 (74.827)
Epoch: [93][4200/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 2.1671 (2.1807) Prec@1 45.312 (51.306) Prec@5 75.000 (74.839)
Epoch: [93][4400/10010] Time 0.421 (0.399) Data 0.000 (0.001) Loss 2.6004 (2.1817) Prec@1 45.312 (51.294) Prec@5 65.625 (74.830)
Epoch: [93][4600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.0157 (2.1812) Prec@1 50.781 (51.305) Prec@5 77.344 (74.845)
Epoch: [93][4800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1686 (2.1805) Prec@1 50.000 (51.315) Prec@5 74.219 (74.867)
Epoch: [93][5000/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.2869 (2.1811) Prec@1 50.000 (51.303) Prec@5 78.125 (74.860)
Epoch: [93][5200/10010] Time 0.407 (0.399) Data 0.001 (0.001) Loss 2.0676 (2.1802) Prec@1 53.906 (51.327) Prec@5 79.688 (74.879)
Epoch: [93][5400/10010] Time 0.404 (0.399) Data 0.001 (0.001) Loss 2.1660 (2.1806) Prec@1 46.875 (51.318) Prec@5 79.688 (74.877)
Epoch: [93][5600/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 1.9089 (2.1804) Prec@1 53.125 (51.308) Prec@5 82.031 (74.888)
Epoch: [93][5800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.9097 (2.1805) Prec@1 55.469 (51.308) Prec@5 76.562 (74.879)
Epoch: [93][6000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.8582 (2.1809) Prec@1 59.375 (51.302) Prec@5 78.125 (74.869)
Epoch: [93][6200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0912 (2.1808) Prec@1 53.906 (51.298) Prec@5 75.781 (74.877)
Epoch: [93][6400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.3365 (2.1810) Prec@1 49.219 (51.301) Prec@5 69.531 (74.880)
Epoch: [93][6600/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.1234 (2.1818) Prec@1 51.562 (51.289) Prec@5 73.438 (74.869)
Epoch: [93][6800/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.4361 (2.1825) Prec@1 50.781 (51.275) Prec@5 66.406 (74.858)
Epoch: [93][7000/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 1.9640 (2.1826) Prec@1 54.688 (51.272) Prec@5 79.688 (74.853)
Epoch: [93][7200/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.4365 (2.1832) Prec@1 42.969 (51.256) Prec@5 74.219 (74.836)
Epoch: [93][7400/10010] Time 0.405 (0.399) Data 0.001 (0.001) Loss 2.3561 (2.1831) Prec@1 45.312 (51.256) Prec@5 74.219 (74.837)
Epoch: [93][7600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.2013 (2.1835) Prec@1 49.219 (51.255) Prec@5 78.906 (74.829)
Epoch: [93][7800/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 2.5597 (2.1837) Prec@1 38.281 (51.239) Prec@5 70.312 (74.825)
Epoch: [93][8000/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 2.4105 (2.1839) Prec@1 46.094 (51.240) Prec@5 75.000 (74.826)
Epoch: [93][8200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2042 (2.1832) Prec@1 52.344 (51.253) Prec@5 78.125 (74.834)
Epoch: [93][8400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2533 (2.1839) Prec@1 50.000 (51.248) Prec@5 72.656 (74.822)
Epoch: [93][8600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.2727 (2.1839) Prec@1 44.531 (51.240) Prec@5 74.219 (74.820)
Epoch: [93][8800/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 2.3773 (2.1843) Prec@1 44.531 (51.232) Prec@5 71.875 (74.819)
Epoch: [93][9000/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.5030 (2.1838) Prec@1 43.750 (51.236) Prec@5 68.750 (74.821)
Epoch: [93][9200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.3761 (2.1844) Prec@1 44.531 (51.229) Prec@5 75.000 (74.811)
Epoch: [93][9400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.0612 (2.1841) Prec@1 45.312 (51.238) Prec@5 77.344 (74.819)
Epoch: [93][9600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 1.4330 (2.1842) Prec@1 65.625 (51.239) Prec@5 86.719 (74.817)
Epoch: [93][9800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.1713 (2.1840) Prec@1 50.781 (51.251) Prec@5 75.781 (74.823)
Epoch: [93][10000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.1898 (2.1846) Prec@1 57.031 (51.241) Prec@5 73.438 (74.806)
Test: [0/391] Time 3.692 (3.692) Loss 0.9073 (0.9073) Prec@1 78.125 (78.125) Prec@5 92.969 (92.969)
Test: [200/391] Time 0.160 (0.254) Loss 2.3030 (1.6198) Prec@1 46.875 (60.071) Prec@5 74.219 (84.165)
* Prec@1 56.116 Prec@5 80.132 Loss@ 1.862
==>>[2018-06-29 23:30:40] [Epoch=094/150] [Need: 63:35:45] [learning_rate=None] [Best : Accuracy(T1/T5)=67.17/87.44, Error=32.83/12.56]
Epoch: [94][0/10010] Time 3.275 (3.275) Data 3.118 (3.118) Loss 1.8787 (1.8787) Prec@1 59.375 (59.375) Prec@5 81.250 (81.250)
Epoch: [94][200/10010] Time 0.394 (0.413) Data 0.000 (0.017) Loss 2.4490 (2.1691) Prec@1 46.875 (51.135) Prec@5 68.750 (75.229)
Epoch: [94][400/10010] Time 0.399 (0.406) Data 0.000 (0.009) Loss 2.2883 (2.1481) Prec@1 51.562 (51.713) Prec@5 75.781 (75.399)
Epoch: [94][600/10010] Time 0.403 (0.403) Data 0.000 (0.006) Loss 2.1313 (2.1462) Prec@1 48.438 (51.674) Prec@5 77.344 (75.502)
Epoch: [94][800/10010] Time 0.390 (0.402) Data 0.001 (0.005) Loss 2.5014 (2.1494) Prec@1 49.219 (51.693) Prec@5 72.656 (75.417)
Epoch: [94][1000/10010] Time 0.397 (0.402) Data 0.000 (0.004) Loss 2.2484 (2.1514) Prec@1 50.000 (51.628) Prec@5 67.188 (75.363)
Epoch: [94][1200/10010] Time 0.397 (0.402) Data 0.000 (0.003) Loss 2.3322 (2.1518) Prec@1 54.688 (51.632) Prec@5 73.438 (75.317)
Epoch: [94][1400/10010] Time 0.399 (0.401) Data 0.001 (0.003) Loss 2.5524 (2.1545) Prec@1 40.625 (51.604) Prec@5 66.406 (75.243)
Epoch: [94][1600/10010] Time 0.405 (0.401) Data 0.000 (0.003) Loss 1.5245 (2.1534) Prec@1 57.812 (51.615) Prec@5 85.156 (75.245)
Epoch: [94][1800/10010] Time 0.402 (0.401) Data 0.000 (0.002) Loss 1.9198 (2.1526) Prec@1 59.375 (51.638) Prec@5 82.812 (75.250)
Epoch: [94][2000/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.2895 (2.1525) Prec@1 50.000 (51.635) Prec@5 71.875 (75.262)
Epoch: [94][2200/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.0099 (2.1529) Prec@1 53.906 (51.646) Prec@5 75.781 (75.262)
Epoch: [94][2400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.1627 (2.1530) Prec@1 48.438 (51.646) Prec@5 75.781 (75.263)
Epoch: [94][2600/10010] Time 0.409 (0.400) Data 0.000 (0.002) Loss 2.1344 (2.1531) Prec@1 53.906 (51.676) Prec@5 76.562 (75.271)
Epoch: [94][2800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.4000 (2.1549) Prec@1 48.438 (51.650) Prec@5 71.094 (75.228)
Epoch: [94][3000/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.3803 (2.1547) Prec@1 50.781 (51.686) Prec@5 70.312 (75.247)
Epoch: [94][3200/10010] Time 0.399 (0.400) Data 0.001 (0.002) Loss 2.3994 (2.1544) Prec@1 46.094 (51.696) Prec@5 74.219 (75.250)
Epoch: [94][3400/10010] Time 0.409 (0.400) Data 0.001 (0.001) Loss 1.9815 (2.1537) Prec@1 52.344 (51.731) Prec@5 77.344 (75.268)
Epoch: [94][3600/10010] Time 0.402 (0.400) Data 0.001 (0.001) Loss 2.3067 (2.1537) Prec@1 50.781 (51.751) Prec@5 71.875 (75.256)
Epoch: [94][3800/10010] Time 0.401 (0.400) Data 0.000 (0.001) Loss 2.0713 (2.1549) Prec@1 57.031 (51.756) Prec@5 78.906 (75.235)
Epoch: [94][4000/10010] Time 0.389 (0.400) Data 0.000 (0.001) Loss 2.2574 (2.1569) Prec@1 51.562 (51.735) Prec@5 71.875 (75.205)
Epoch: [94][4200/10010] Time 0.399 (0.400) Data 0.001 (0.001) Loss 2.3448 (2.1575) Prec@1 51.562 (51.743) Prec@5 75.781 (75.193)
Epoch: [94][4400/10010] Time 0.406 (0.399) Data 0.001 (0.001) Loss 2.2699 (2.1575) Prec@1 47.656 (51.748) Prec@5 76.562 (75.201)
Epoch: [94][4600/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 2.2519 (2.1580) Prec@1 48.438 (51.741) Prec@5 75.000 (75.189)
Epoch: [94][4800/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 2.2220 (2.1577) Prec@1 48.438 (51.733) Prec@5 72.656 (75.190)
Epoch: [94][5000/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.2662 (2.1594) Prec@1 48.438 (51.708) Prec@5 72.656 (75.157)
Epoch: [94][5200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.0852 (2.1599) Prec@1 56.250 (51.702) Prec@5 76.562 (75.153)
Epoch: [94][5400/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2447 (2.1601) Prec@1 50.000 (51.706) Prec@5 77.344 (75.147)
Epoch: [94][5600/10010] Time 0.393 (0.399) Data 0.001 (0.001) Loss 2.0272 (2.1604) Prec@1 50.000 (51.709) Prec@5 76.562 (75.146)
Epoch: [94][5800/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.5267 (2.1612) Prec@1 46.875 (51.701) Prec@5 71.094 (75.149)
Epoch: [94][6000/10010] Time 0.390 (0.399) Data 0.000 (0.001) Loss 1.8771 (2.1605) Prec@1 56.250 (51.709) Prec@5 80.469 (75.164)
Epoch: [94][6200/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 1.9429 (2.1607) Prec@1 49.219 (51.699) Prec@5 75.781 (75.150)
Epoch: [94][6400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9895 (2.1610) Prec@1 53.906 (51.692) Prec@5 77.344 (75.144)
Epoch: [94][6600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.1959 (2.1614) Prec@1 58.594 (51.682) Prec@5 76.562 (75.145)
Epoch: [94][6800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.0087 (2.1619) Prec@1 53.125 (51.680) Prec@5 76.562 (75.139)
Epoch: [94][7000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1808 (2.1624) Prec@1 51.562 (51.669) Prec@5 75.781 (75.131)
Epoch: [94][7200/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 2.0636 (2.1623) Prec@1 51.562 (51.671) Prec@5 73.438 (75.128)
Epoch: [94][7400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2634 (2.1631) Prec@1 52.344 (51.663) Prec@5 74.219 (75.103)
Epoch: [94][7600/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.3604 (2.1630) Prec@1 48.438 (51.661) Prec@5 71.875 (75.105)
Epoch: [94][7800/10010] Time 0.402 (0.399) Data 0.001 (0.001) Loss 2.3305 (2.1631) Prec@1 51.562 (51.659) Prec@5 71.875 (75.098)
Epoch: [94][8000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.3484 (2.1637) Prec@1 45.312 (51.641) Prec@5 73.438 (75.093)
Epoch: [94][8200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.2821 (2.1637) Prec@1 46.094 (51.634) Prec@5 73.438 (75.102)
Epoch: [94][8400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2658 (2.1635) Prec@1 50.781 (51.640) Prec@5 71.094 (75.104)
Epoch: [94][8600/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1848 (2.1634) Prec@1 53.906 (51.656) Prec@5 70.312 (75.099)
Epoch: [94][8800/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 2.4605 (2.1632) Prec@1 46.875 (51.658) Prec@5 71.094 (75.104)
Epoch: [94][9000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.2074 (2.1637) Prec@1 46.875 (51.652) Prec@5 71.875 (75.094)
Epoch: [94][9200/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.1497 (2.1641) Prec@1 50.000 (51.651) Prec@5 71.875 (75.092)
Epoch: [94][9400/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 2.3260 (2.1643) Prec@1 53.125 (51.654) Prec@5 71.094 (75.086)
Epoch: [94][9600/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.1176 (2.1653) Prec@1 53.125 (51.640) Prec@5 78.125 (75.069)
Epoch: [94][9800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.4011 (2.1656) Prec@1 47.656 (51.635) Prec@5 74.219 (75.070)
Epoch: [94][10000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8042 (2.1653) Prec@1 59.375 (51.639) Prec@5 78.906 (75.072)
Test: [0/391] Time 4.496 (4.496) Loss 1.0023 (1.0023) Prec@1 75.000 (75.000) Prec@5 91.406 (91.406)
Test: [200/391] Time 0.141 (0.254) Loss 2.6648 (1.6081) Prec@1 40.625 (60.351) Prec@5 64.844 (84.453)
* Prec@1 56.696 Prec@5 80.750 Loss@ 1.835
==>>[2018-06-30 00:38:50] [Epoch=095/150] [Need: 62:29:07] [learning_rate=None] [Best : Accuracy(T1/T5)=67.17/87.44, Error=32.83/12.56]
Epoch: [95][0/10010] Time 3.334 (3.334) Data 3.164 (3.164) Loss 2.0866 (2.0866) Prec@1 53.906 (53.906) Prec@5 78.125 (78.125)
Epoch: [95][200/10010] Time 0.394 (0.413) Data 0.000 (0.019) Loss 2.1449 (2.1522) Prec@1 47.656 (51.819) Prec@5 76.562 (75.529)
Epoch: [95][400/10010] Time 0.398 (0.406) Data 0.000 (0.010) Loss 1.9913 (2.1369) Prec@1 53.906 (52.207) Prec@5 79.688 (75.594)
Epoch: [95][600/10010] Time 0.406 (0.403) Data 0.000 (0.007) Loss 2.1482 (2.1321) Prec@1 51.562 (52.236) Prec@5 72.656 (75.604)
Epoch: [95][800/10010] Time 0.393 (0.402) Data 0.000 (0.005) Loss 2.3959 (2.1380) Prec@1 49.219 (52.126) Prec@5 75.000 (75.554)
Epoch: [95][1000/10010] Time 0.397 (0.401) Data 0.000 (0.004) Loss 2.3998 (2.1363) Prec@1 48.438 (52.145) Prec@5 67.969 (75.570)
Epoch: [95][1200/10010] Time 0.401 (0.401) Data 0.000 (0.004) Loss 2.2754 (2.1355) Prec@1 49.219 (52.122) Prec@5 74.219 (75.550)
Epoch: [95][1400/10010] Time 0.400 (0.401) Data 0.000 (0.003) Loss 2.4471 (2.1348) Prec@1 48.438 (52.169) Prec@5 68.750 (75.525)
Epoch: [95][1600/10010] Time 0.396 (0.400) Data 0.000 (0.003) Loss 2.2699 (2.1347) Prec@1 47.656 (52.178) Prec@5 74.219 (75.514)
Epoch: [95][1800/10010] Time 0.403 (0.400) Data 0.000 (0.003) Loss 1.7895 (2.1353) Prec@1 58.594 (52.151) Prec@5 78.125 (75.492)
Epoch: [95][2000/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 2.2575 (2.1347) Prec@1 47.656 (52.142) Prec@5 72.656 (75.492)
Epoch: [95][2200/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.3524 (2.1361) Prec@1 50.781 (52.125) Prec@5 74.219 (75.505)
Epoch: [95][2400/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.2657 (2.1377) Prec@1 43.750 (52.094) Prec@5 72.656 (75.477)
Epoch: [95][2600/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.2438 (2.1385) Prec@1 51.562 (52.086) Prec@5 74.219 (75.456)
Epoch: [95][2800/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 2.2474 (2.1398) Prec@1 50.781 (52.087) Prec@5 76.562 (75.443)
Epoch: [95][3000/10010] Time 0.394 (0.399) Data 0.000 (0.002) Loss 2.1436 (2.1406) Prec@1 48.438 (52.044) Prec@5 74.219 (75.436)
Epoch: [95][3200/10010] Time 0.398 (0.399) Data 0.000 (0.002) Loss 2.4236 (2.1398) Prec@1 52.344 (52.057) Prec@5 72.656 (75.443)
Epoch: [95][3400/10010] Time 0.401 (0.399) Data 0.000 (0.002) Loss 2.1949 (2.1410) Prec@1 50.000 (52.028) Prec@5 78.906 (75.411)
Epoch: [95][3600/10010] Time 0.393 (0.399) Data 0.000 (0.002) Loss 1.9309 (2.1416) Prec@1 58.594 (52.039) Prec@5 78.125 (75.408)
Epoch: [95][3800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.2992 (2.1421) Prec@1 46.094 (52.014) Prec@5 66.406 (75.408)
Epoch: [95][4000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.0168 (2.1425) Prec@1 56.250 (52.008) Prec@5 77.344 (75.395)
Epoch: [95][4200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2108 (2.1420) Prec@1 57.031 (52.025) Prec@5 74.219 (75.398)
Epoch: [95][4400/10010] Time 0.402 (0.399) Data 0.001 (0.001) Loss 2.0643 (2.1432) Prec@1 51.562 (52.012) Prec@5 81.250 (75.379)
Epoch: [95][4600/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 2.2422 (2.1441) Prec@1 46.875 (51.995) Prec@5 76.562 (75.381)
Epoch: [95][4800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.1638 (2.1445) Prec@1 50.000 (51.981) Prec@5 73.438 (75.371)
Epoch: [95][5000/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.1877 (2.1462) Prec@1 52.344 (51.945) Prec@5 74.219 (75.353)
Epoch: [95][5200/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 1.9486 (2.1465) Prec@1 58.594 (51.954) Prec@5 80.469 (75.355)
Epoch: [95][5400/10010] Time 0.392 (0.399) Data 0.001 (0.001) Loss 1.9387 (2.1462) Prec@1 53.906 (51.959) Prec@5 78.906 (75.352)
Epoch: [95][5600/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 2.2147 (2.1468) Prec@1 53.125 (51.947) Prec@5 75.000 (75.346)
Epoch: [95][5800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.9772 (2.1476) Prec@1 51.562 (51.943) Prec@5 76.562 (75.326)
Epoch: [95][6000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.3201 (2.1469) Prec@1 49.219 (51.953) Prec@5 71.094 (75.352)
Epoch: [95][6200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.5021 (2.1478) Prec@1 49.219 (51.937) Prec@5 69.531 (75.337)
Epoch: [95][6400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.3161 (2.1481) Prec@1 41.406 (51.927) Prec@5 71.094 (75.325)
Epoch: [95][6600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0440 (2.1492) Prec@1 53.906 (51.918) Prec@5 75.781 (75.313)
Epoch: [95][6800/10010] Time 0.408 (0.399) Data 0.000 (0.001) Loss 1.7232 (2.1498) Prec@1 62.500 (51.905) Prec@5 80.469 (75.305)
Epoch: [95][7000/10010] Time 0.404 (0.399) Data 0.001 (0.001) Loss 2.0611 (2.1502) Prec@1 56.250 (51.904) Prec@5 76.562 (75.298)
Epoch: [95][7200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.0039 (2.1505) Prec@1 53.125 (51.905) Prec@5 77.344 (75.295)
Epoch: [95][7400/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 2.2095 (2.1511) Prec@1 48.438 (51.903) Prec@5 74.219 (75.284)
Epoch: [95][7600/10010] Time 0.403 (0.399) Data 0.001 (0.001) Loss 1.9598 (2.1509) Prec@1 54.688 (51.896) Prec@5 78.906 (75.289)
Epoch: [95][7800/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 2.0191 (2.1512) Prec@1 53.906 (51.890) Prec@5 78.906 (75.287)
Epoch: [95][8000/10010] Time 0.394 (0.399) Data 0.001 (0.001) Loss 2.1320 (2.1521) Prec@1 47.656 (51.881) Prec@5 75.000 (75.275)
Epoch: [95][8200/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.5632 (2.1514) Prec@1 46.094 (51.895) Prec@5 71.094 (75.282)
Epoch: [95][8400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.9259 (2.1520) Prec@1 51.562 (51.882) Prec@5 78.906 (75.271)
Epoch: [95][8600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.5421 (2.1527) Prec@1 42.188 (51.867) Prec@5 74.219 (75.265)
Epoch: [95][8800/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1250 (2.1529) Prec@1 50.781 (51.857) Prec@5 75.781 (75.262)
Epoch: [95][9000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.0821 (2.1531) Prec@1 53.906 (51.851) Prec@5 77.344 (75.259)
Epoch: [95][9200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.2570 (2.1532) Prec@1 57.812 (51.850) Prec@5 75.000 (75.260)
Epoch: [95][9400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9943 (2.1531) Prec@1 56.250 (51.855) Prec@5 78.906 (75.264)
Epoch: [95][9600/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 2.2433 (2.1530) Prec@1 46.875 (51.859) Prec@5 76.562 (75.270)
Epoch: [95][9800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2678 (2.1525) Prec@1 46.094 (51.870) Prec@5 75.781 (75.277)
Epoch: [95][10000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.2912 (2.1532) Prec@1 52.344 (51.852) Prec@5 73.438 (75.268)
Test: [0/391] Time 3.509 (3.509) Loss 0.8678 (0.8678) Prec@1 78.906 (78.906) Prec@5 92.969 (92.969)
Test: [200/391] Time 0.156 (0.252) Loss 1.9243 (1.6202) Prec@1 52.344 (60.207) Prec@5 78.906 (83.986)
* Prec@1 55.916 Prec@5 79.864 Loss@ 1.881
==>>[2018-06-30 01:46:59] [Epoch=096/150] [Need: 61:19:26] [learning_rate=None] [Best : Accuracy(T1/T5)=67.17/87.44, Error=32.83/12.56]
Epoch: [96][0/10010] Time 3.574 (3.574) Data 3.413 (3.413) Loss 2.1719 (2.1719) Prec@1 50.000 (50.000) Prec@5 73.438 (73.438)
Epoch: [96][200/10010] Time 0.403 (0.414) Data 0.000 (0.018) Loss 1.7256 (2.1253) Prec@1 57.812 (52.488) Prec@5 84.375 (75.801)
Epoch: [96][400/10010] Time 0.396 (0.406) Data 0.001 (0.009) Loss 2.0589 (2.1242) Prec@1 53.906 (52.468) Prec@5 77.344 (75.699)
Epoch: [96][600/10010] Time 0.399 (0.404) Data 0.000 (0.006) Loss 2.3783 (2.1207) Prec@1 45.312 (52.513) Prec@5 71.875 (75.744)
Epoch: [96][800/10010] Time 0.396 (0.402) Data 0.001 (0.005) Loss 2.3977 (2.1180) Prec@1 46.875 (52.550) Prec@5 74.219 (75.759)
Epoch: [96][1000/10010] Time 0.397 (0.401) Data 0.000 (0.004) Loss 2.2695 (2.1172) Prec@1 50.000 (52.556) Prec@5 71.875 (75.771)
Epoch: [96][1200/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 2.0170 (2.1177) Prec@1 53.906 (52.560) Prec@5 77.344 (75.807)
Epoch: [96][1400/10010] Time 0.395 (0.401) Data 0.000 (0.003) Loss 2.1354 (2.1207) Prec@1 52.344 (52.524) Prec@5 76.562 (75.775)
Epoch: [96][1600/10010] Time 0.398 (0.400) Data 0.000 (0.003) Loss 2.4965 (2.1235) Prec@1 47.656 (52.474) Prec@5 70.312 (75.744)
Epoch: [96][1800/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.9770 (2.1228) Prec@1 52.344 (52.440) Prec@5 77.344 (75.710)
Epoch: [96][2000/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.3939 (2.1232) Prec@1 48.438 (52.447) Prec@5 72.656 (75.697)
Epoch: [96][2200/10010] Time 0.410 (0.400) Data 0.000 (0.002) Loss 2.1314 (2.1267) Prec@1 52.344 (52.370) Prec@5 75.000 (75.662)
Epoch: [96][2400/10010] Time 0.398 (0.400) Data 0.000 (0.002) Loss 1.9801 (2.1263) Prec@1 51.562 (52.355) Prec@5 78.906 (75.683)
Epoch: [96][2600/10010] Time 0.394 (0.400) Data 0.001 (0.002) Loss 2.5398 (2.1281) Prec@1 45.312 (52.331) Prec@5 67.969 (75.658)
Epoch: [96][2800/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.8031 (2.1265) Prec@1 57.031 (52.372) Prec@5 79.688 (75.683)
Epoch: [96][3000/10010] Time 0.403 (0.399) Data 0.000 (0.002) Loss 2.2029 (2.1278) Prec@1 47.656 (52.348) Prec@5 74.219 (75.663)
Epoch: [96][3200/10010] Time 0.400 (0.399) Data 0.000 (0.002) Loss 1.9352 (2.1291) Prec@1 60.156 (52.347) Prec@5 79.688 (75.632)
Epoch: [96][3400/10010] Time 0.392 (0.399) Data 0.000 (0.002) Loss 2.3764 (2.1293) Prec@1 48.438 (52.342) Prec@5 75.781 (75.632)
Epoch: [96][3600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 1.4960 (2.1299) Prec@1 58.594 (52.329) Prec@5 82.812 (75.633)
Epoch: [96][3800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2242 (2.1304) Prec@1 49.219 (52.324) Prec@5 71.094 (75.621)
Epoch: [96][4000/10010] Time 0.410 (0.399) Data 0.000 (0.001) Loss 2.1447 (2.1316) Prec@1 50.781 (52.312) Prec@5 77.344 (75.594)
Epoch: [96][4200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.8823 (2.1330) Prec@1 53.906 (52.293) Prec@5 78.906 (75.574)
Epoch: [96][4400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.0773 (2.1346) Prec@1 50.000 (52.258) Prec@5 77.344 (75.533)
Epoch: [96][4600/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 1.7401 (2.1351) Prec@1 57.812 (52.254) Prec@5 82.812 (75.525)
Epoch: [96][4800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.7453 (2.1359) Prec@1 61.719 (52.242) Prec@5 78.906 (75.509)
Epoch: [96][5000/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.1220 (2.1358) Prec@1 50.000 (52.239) Prec@5 75.000 (75.505)
Epoch: [96][5200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2911 (2.1356) Prec@1 53.125 (52.240) Prec@5 71.875 (75.503)
Epoch: [96][5400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2497 (2.1366) Prec@1 50.000 (52.212) Prec@5 71.875 (75.490)
Epoch: [96][5600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.5051 (2.1370) Prec@1 49.219 (52.193) Prec@5 71.094 (75.499)
Epoch: [96][5800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.4139 (2.1377) Prec@1 48.438 (52.174) Prec@5 71.094 (75.484)
Epoch: [96][6000/10010] Time 0.391 (0.399) Data 0.001 (0.001) Loss 2.1081 (2.1380) Prec@1 51.562 (52.161) Prec@5 73.438 (75.465)
Epoch: [96][6200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.1817 (2.1384) Prec@1 53.125 (52.147) Prec@5 71.875 (75.454)
Epoch: [96][6400/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 2.1096 (2.1389) Prec@1 49.219 (52.148) Prec@5 74.219 (75.451)
Epoch: [96][6600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0699 (2.1392) Prec@1 50.781 (52.138) Prec@5 74.219 (75.441)
Epoch: [96][6800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2677 (2.1397) Prec@1 54.688 (52.118) Prec@5 71.875 (75.433)
Epoch: [96][7000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.4232 (2.1397) Prec@1 50.000 (52.113) Prec@5 68.750 (75.435)
Epoch: [96][7200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.3628 (2.1401) Prec@1 50.781 (52.114) Prec@5 70.312 (75.425)
Epoch: [96][7400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.5545 (2.1405) Prec@1 68.750 (52.108) Prec@5 85.156 (75.419)
Epoch: [96][7600/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 2.4424 (2.1405) Prec@1 47.656 (52.106) Prec@5 75.000 (75.418)
Epoch: [96][7800/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 2.2178 (2.1400) Prec@1 53.125 (52.121) Prec@5 74.219 (75.426)
Epoch: [96][8000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.8824 (2.1402) Prec@1 52.344 (52.113) Prec@5 84.375 (75.426)
Epoch: [96][8200/10010] Time 0.407 (0.399) Data 0.000 (0.001) Loss 2.1901 (2.1408) Prec@1 53.125 (52.111) Prec@5 75.781 (75.413)
Epoch: [96][8400/10010] Time 0.398 (0.399) Data 0.001 (0.001) Loss 1.9902 (2.1416) Prec@1 53.125 (52.096) Prec@5 76.562 (75.398)
Epoch: [96][8600/10010] Time 0.401 (0.399) Data 0.000 (0.001) Loss 2.1727 (2.1424) Prec@1 53.125 (52.080) Prec@5 75.781 (75.389)
Epoch: [96][8800/10010] Time 0.392 (0.399) Data 0.000 (0.001) Loss 2.3534 (2.1428) Prec@1 43.750 (52.064) Prec@5 73.438 (75.380)
Epoch: [96][9000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2640 (2.1433) Prec@1 53.125 (52.051) Prec@5 70.312 (75.370)
Epoch: [96][9200/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 2.2478 (2.1439) Prec@1 50.781 (52.031) Prec@5 75.000 (75.365)
Epoch: [96][9400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.8861 (2.1438) Prec@1 55.469 (52.030) Prec@5 80.469 (75.365)
Epoch: [96][9600/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.1514 (2.1442) Prec@1 53.906 (52.026) Prec@5 75.781 (75.359)
Epoch: [96][9800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1394 (2.1447) Prec@1 53.125 (52.022) Prec@5 75.000 (75.351)
Epoch: [96][10000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 1.7889 (2.1454) Prec@1 57.031 (52.018) Prec@5 83.594 (75.344)
Test: [0/391] Time 3.468 (3.468) Loss 1.1139 (1.1139) Prec@1 75.781 (75.781) Prec@5 91.406 (91.406)
Test: [200/391] Time 0.278 (0.248) Loss 2.3409 (1.5675) Prec@1 38.281 (61.175) Prec@5 73.438 (85.152)
* Prec@1 56.854 Prec@5 81.048 Loss@ 1.817
==>>[2018-06-30 02:55:04] [Epoch=097/150] [Need: 60:09:02] [learning_rate=None] [Best : Accuracy(T1/T5)=67.17/87.44, Error=32.83/12.56]
Epoch: [97][0/10010] Time 3.172 (3.172) Data 2.990 (2.990) Loss 2.2174 (2.2174) Prec@1 53.906 (53.906) Prec@5 69.531 (69.531)
Epoch: [97][200/10010] Time 0.392 (0.412) Data 0.000 (0.018) Loss 2.1186 (2.1302) Prec@1 50.000 (52.118) Prec@5 75.781 (75.917)
Epoch: [97][400/10010] Time 0.397 (0.405) Data 0.000 (0.009) Loss 1.7876 (2.1228) Prec@1 58.594 (52.285) Prec@5 82.031 (75.873)
Epoch: [97][600/10010] Time 0.407 (0.403) Data 0.000 (0.006) Loss 2.1226 (2.1287) Prec@1 50.781 (52.196) Prec@5 78.125 (75.711)
Epoch: [97][800/10010] Time 0.404 (0.402) Data 0.000 (0.005) Loss 2.0867 (2.1311) Prec@1 57.031 (52.101) Prec@5 75.781 (75.658)
Epoch: [97][1000/10010] Time 0.395 (0.401) Data 0.000 (0.004) Loss 2.1351 (2.1328) Prec@1 56.250 (52.113) Prec@5 75.781 (75.580)
Epoch: [97][1200/10010] Time 0.397 (0.401) Data 0.000 (0.003) Loss 2.0727 (2.1298) Prec@1 49.219 (52.193) Prec@5 72.656 (75.627)
Epoch: [97][1400/10010] Time 0.394 (0.401) Data 0.000 (0.003) Loss 2.1983 (2.1310) Prec@1 52.344 (52.168) Prec@5 75.000 (75.587)
Epoch: [97][1600/10010] Time 0.402 (0.400) Data 0.000 (0.003) Loss 2.1470 (2.1291) Prec@1 50.781 (52.195) Prec@5 77.344 (75.604)
Epoch: [97][1800/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 2.0563 (2.1273) Prec@1 53.125 (52.243) Prec@5 78.125 (75.653)
Epoch: [97][2000/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 2.0601 (2.1297) Prec@1 57.031 (52.196) Prec@5 73.438 (75.625)
Epoch: [97][2200/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 2.3922 (2.1275) Prec@1 51.562 (52.239) Prec@5 66.406 (75.671)
Epoch: [97][2400/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 2.1085 (2.1269) Prec@1 50.781 (52.226) Prec@5 71.094 (75.692)
Epoch: [97][2600/10010] Time 0.397 (0.400) Data 0.000 (0.002) Loss 1.7260 (2.1268) Prec@1 59.375 (52.233) Prec@5 80.469 (75.682)
Epoch: [97][2800/10010] Time 0.400 (0.400) Data 0.000 (0.002) Loss 2.4372 (2.1274) Prec@1 51.562 (52.235) Prec@5 69.531 (75.679)
Epoch: [97][3000/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.9717 (2.1275) Prec@1 56.250 (52.207) Prec@5 78.125 (75.685)
Epoch: [97][3200/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.1029 (2.1271) Prec@1 49.219 (52.217) Prec@5 79.688 (75.682)
Epoch: [97][3400/10010] Time 0.397 (0.400) Data 0.001 (0.002) Loss 2.2019 (2.1271) Prec@1 51.562 (52.212) Prec@5 75.781 (75.676)
Epoch: [97][3600/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 2.3347 (2.1289) Prec@1 49.219 (52.198) Prec@5 75.000 (75.659)
Epoch: [97][3800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.3251 (2.1293) Prec@1 46.875 (52.190) Prec@5 71.094 (75.642)
Epoch: [97][4000/10010] Time 0.388 (0.399) Data 0.000 (0.001) Loss 1.9970 (2.1302) Prec@1 61.719 (52.193) Prec@5 74.219 (75.631)
Epoch: [97][4200/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.7899 (2.1303) Prec@1 56.250 (52.207) Prec@5 78.125 (75.631)
Epoch: [97][4400/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.2342 (2.1309) Prec@1 44.531 (52.215) Prec@5 72.656 (75.605)
Epoch: [97][4600/10010] Time 0.401 (0.399) Data 0.001 (0.001) Loss 2.0717 (2.1323) Prec@1 55.469 (52.206) Prec@5 76.562 (75.586)
Epoch: [97][4800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8692 (2.1334) Prec@1 58.594 (52.198) Prec@5 83.594 (75.575)
Epoch: [97][5000/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 2.1962 (2.1334) Prec@1 50.781 (52.200) Prec@5 71.875 (75.564)
Epoch: [97][5200/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 2.2227 (2.1340) Prec@1 49.219 (52.195) Prec@5 76.562 (75.556)
Epoch: [97][5400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.1500 (2.1339) Prec@1 50.781 (52.206) Prec@5 77.344 (75.559)
Epoch: [97][5600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1907 (2.1353) Prec@1 50.781 (52.179) Prec@5 75.000 (75.532)
Epoch: [97][5800/10010] Time 0.392 (0.399) Data 0.001 (0.001) Loss 2.2255 (2.1352) Prec@1 50.000 (52.176) Prec@5 74.219 (75.527)
Epoch: [97][6000/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.1331 (2.1358) Prec@1 47.656 (52.164) Prec@5 73.438 (75.529)
Epoch: [97][6200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.2258 (2.1359) Prec@1 56.250 (52.165) Prec@5 75.000 (75.539)
Epoch: [97][6400/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.3625 (2.1355) Prec@1 55.469 (52.163) Prec@5 74.219 (75.546)
Epoch: [97][6600/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.8997 (2.1363) Prec@1 52.344 (52.152) Prec@5 75.781 (75.532)
Epoch: [97][6800/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.3139 (2.1371) Prec@1 48.438 (52.144) Prec@5 74.219 (75.522)
Epoch: [97][7000/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.7669 (2.1384) Prec@1 58.594 (52.114) Prec@5 78.906 (75.496)
Epoch: [97][7200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.3302 (2.1385) Prec@1 51.562 (52.117) Prec@5 73.438 (75.490)
Epoch: [97][7400/10010] Time 0.391 (0.399) Data 0.001 (0.001) Loss 2.0952 (2.1389) Prec@1 48.438 (52.107) Prec@5 74.219 (75.489)
Epoch: [97][7600/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 2.3606 (2.1386) Prec@1 47.656 (52.114) Prec@5 71.875 (75.489)
Epoch: [97][7800/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.2332 (2.1388) Prec@1 53.906 (52.107) Prec@5 77.344 (75.486)
Epoch: [97][8000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9457 (2.1395) Prec@1 57.812 (52.097) Prec@5 77.344 (75.481)
Epoch: [97][8200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.2177 (2.1397) Prec@1 48.438 (52.096) Prec@5 69.531 (75.477)
Epoch: [97][8400/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.4326 (2.1394) Prec@1 43.750 (52.101) Prec@5 69.531 (75.479)
Epoch: [97][8600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.3568 (2.1397) Prec@1 47.656 (52.100) Prec@5 72.656 (75.476)
Epoch: [97][8800/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.6296 (2.1402) Prec@1 41.406 (52.093) Prec@5 64.062 (75.471)
Epoch: [97][9000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.9748 (2.1401) Prec@1 57.031 (52.098) Prec@5 78.125 (75.470)
Epoch: [97][9200/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 2.2095 (2.1403) Prec@1 46.875 (52.098) Prec@5 78.125 (75.474)
Epoch: [97][9400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0327 (2.1406) Prec@1 57.812 (52.094) Prec@5 75.781 (75.469)
Epoch: [97][9600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.5278 (2.1409) Prec@1 46.875 (52.089) Prec@5 67.188 (75.461)
Epoch: [97][9800/10010] Time 0.404 (0.399) Data 0.001 (0.001) Loss 2.1838 (2.1410) Prec@1 54.688 (52.089) Prec@5 75.000 (75.456)
Epoch: [97][10000/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.0873 (2.1412) Prec@1 54.688 (52.089) Prec@5 73.438 (75.453)
Test: [0/391] Time 3.456 (3.456) Loss 0.6975 (0.6975) Prec@1 84.375 (84.375) Prec@5 93.750 (93.750)
Test: [200/391] Time 0.144 (0.260) Loss 2.0823 (1.5876) Prec@1 49.219 (60.743) Prec@5 78.125 (84.775)
* Prec@1 56.372 Prec@5 80.584 Loss@ 1.849
==>>[2018-06-30 04:03:16] [Epoch=098/150] [Need: 59:06:03] [learning_rate=None] [Best : Accuracy(T1/T5)=67.17/87.44, Error=32.83/12.56]
Epoch: [98][0/10010] Time 3.180 (3.180) Data 2.994 (2.994) Loss 2.1903 (2.1903) Prec@1 57.031 (57.031) Prec@5 76.562 (76.562)
Epoch: [98][200/10010] Time 0.398 (0.412) Data 0.000 (0.016) Loss 2.2550 (2.1297) Prec@1 53.906 (52.278) Prec@5 75.000 (75.727)
Epoch: [98][400/10010] Time 0.393 (0.405) Data 0.000 (0.008) Loss 2.3246 (2.1175) Prec@1 50.000 (52.478) Prec@5 74.219 (75.871)
Epoch: [98][600/10010] Time 0.393 (0.403) Data 0.000 (0.006) Loss 1.9976 (2.1138) Prec@1 49.219 (52.554) Prec@5 77.344 (75.926)
Epoch: [98][800/10010] Time 0.404 (0.402) Data 0.000 (0.004) Loss 2.2757 (2.1141) Prec@1 50.000 (52.599) Prec@5 74.219 (75.911)
Epoch: [98][1000/10010] Time 0.399 (0.401) Data 0.000 (0.004) Loss 2.0959 (2.1117) Prec@1 56.250 (52.700) Prec@5 73.438 (75.924)
Epoch: [98][1200/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.9593 (2.1107) Prec@1 58.594 (52.768) Prec@5 78.906 (75.987)
Epoch: [98][1400/10010] Time 0.401 (0.401) Data 0.001 (0.003) Loss 1.9874 (2.1087) Prec@1 51.562 (52.774) Prec@5 81.250 (75.999)
Epoch: [98][1600/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 2.1674 (2.1130) Prec@1 46.875 (52.682) Prec@5 70.312 (75.923)
Epoch: [98][1800/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 1.9594 (2.1133) Prec@1 59.375 (52.684) Prec@5 78.125 (75.928)
Epoch: [98][2000/10010] Time 0.394 (0.400) Data 0.000 (0.002) Loss 1.9726 (2.1144) Prec@1 60.938 (52.659) Prec@5 78.906 (75.928)
Epoch: [98][2200/10010] Time 0.399 (0.400) Data 0.000 (0.002) Loss 2.0937 (2.1148) Prec@1 52.344 (52.645) Prec@5 81.250 (75.898)
Epoch: [98][2400/10010] Time 0.399 (0.400) Data 0.001 (0.002) Loss 2.0875 (2.1153) Prec@1 51.562 (52.622) Prec@5 76.562 (75.876)
Epoch: [98][2600/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 2.0849 (2.1170) Prec@1 50.000 (52.602) Prec@5 75.781 (75.875)
Epoch: [98][2800/10010] Time 0.396 (0.400) Data 0.001 (0.002) Loss 2.0546 (2.1195) Prec@1 54.688 (52.549) Prec@5 74.219 (75.836)
Epoch: [98][3000/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 2.4841 (2.1211) Prec@1 39.844 (52.514) Prec@5 70.312 (75.829)
Epoch: [98][3200/10010] Time 0.397 (0.400) Data 0.001 (0.001) Loss 1.7930 (2.1212) Prec@1 63.281 (52.520) Prec@5 80.469 (75.820)
Epoch: [98][3400/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.3051 (2.1213) Prec@1 48.438 (52.501) Prec@5 72.656 (75.802)
Epoch: [98][3600/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 2.4137 (2.1242) Prec@1 55.469 (52.461) Prec@5 70.312 (75.764)
Epoch: [98][3800/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 2.0520 (2.1247) Prec@1 54.688 (52.454) Prec@5 78.906 (75.764)
Epoch: [98][4000/10010] Time 0.406 (0.399) Data 0.000 (0.001) Loss 1.8462 (2.1242) Prec@1 50.781 (52.449) Prec@5 78.125 (75.770)
Epoch: [98][4200/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.0439 (2.1248) Prec@1 53.906 (52.442) Prec@5 74.219 (75.748)
Epoch: [98][4400/10010] Time 0.396 (0.399) Data 0.001 (0.001) Loss 2.0451 (2.1247) Prec@1 51.562 (52.438) Prec@5 75.781 (75.751)
Epoch: [98][4600/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.5204 (2.1247) Prec@1 50.781 (52.435) Prec@5 69.531 (75.747)
Epoch: [98][4800/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 1.9597 (2.1253) Prec@1 57.812 (52.423) Prec@5 77.344 (75.737)
Epoch: [98][5000/10010] Time 0.402 (0.399) Data 0.001 (0.001) Loss 2.1610 (2.1260) Prec@1 56.250 (52.422) Prec@5 75.781 (75.721)
Epoch: [98][5200/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 2.3396 (2.1257) Prec@1 49.219 (52.428) Prec@5 72.656 (75.723)
Epoch: [98][5400/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 2.4903 (2.1260) Prec@1 42.969 (52.411) Prec@5 72.656 (75.716)
Epoch: [98][5600/10010] Time 0.402 (0.399) Data 0.000 (0.001) Loss 1.8882 (2.1256) Prec@1 53.906 (52.410) Prec@5 75.781 (75.715)
Epoch: [98][5800/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 2.2632 (2.1263) Prec@1 46.875 (52.393) Prec@5 74.219 (75.700)
Epoch: [98][6000/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.1919 (2.1256) Prec@1 53.125 (52.402) Prec@5 74.219 (75.703)
Epoch: [98][6200/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.0186 (2.1255) Prec@1 53.906 (52.404) Prec@5 73.438 (75.696)
Epoch: [98][6400/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 2.2572 (2.1257) Prec@1 53.125 (52.399) Prec@5 72.656 (75.695)
Epoch: [98][6600/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.2049 (2.1254) Prec@1 50.000 (52.401) Prec@5 75.000 (75.700)
Epoch: [98][6800/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 2.1983 (2.1260) Prec@1 50.000 (52.379) Prec@5 78.906 (75.688)
Epoch: [98][7000/10010] Time 0.397 (0.399) Data 0.000 (0.001) Loss 2.4336 (2.1263) Prec@1 47.656 (52.364) Prec@5 71.094 (75.686)
Epoch: [98][7200/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.3387 (2.1271) Prec@1 53.906 (52.348) Prec@5 71.094 (75.673)
Epoch: [98][7400/10010] Time 0.399 (0.399) Data 0.001 (0.001) Loss 2.6181 (2.1273) Prec@1 46.094 (52.335) Prec@5 69.531 (75.668)
Epoch: [98][7600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 2.0470 (2.1277) Prec@1 55.469 (52.331) Prec@5 81.250 (75.664)
Epoch: [98][7800/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.9134 (2.1274) Prec@1 63.281 (52.347) Prec@5 78.906 (75.659)
Epoch: [98][8000/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 2.2532 (2.1273) Prec@1 50.781 (52.345) Prec@5 76.562 (75.657)
Epoch: [98][8200/10010] Time 0.400 (0.400) Data 0.001 (0.001) Loss 2.1211 (2.1285) Prec@1 47.656 (52.330) Prec@5 80.469 (75.639)
Epoch: [98][8400/10010] Time 0.414 (0.401) Data 0.000 (0.001) Loss 2.1646 (2.1289) Prec@1 55.469 (52.323) Prec@5 77.344 (75.634)
Epoch: [98][8600/10010] Time 0.395 (0.401) Data 0.000 (0.001) Loss 2.1163 (2.1288) Prec@1 50.000 (52.316) Prec@5 75.781 (75.636)
Epoch: [98][8800/10010] Time 0.396 (0.401) Data 0.001 (0.001) Loss 2.0247 (2.1290) Prec@1 48.438 (52.322) Prec@5 75.000 (75.630)
Epoch: [98][9000/10010] Time 0.401 (0.401) Data 0.000 (0.001) Loss 2.0775 (2.1297) Prec@1 53.125 (52.314) Prec@5 76.562 (75.619)
Epoch: [98][9200/10010] Time 0.390 (0.401) Data 0.000 (0.001) Loss 2.2860 (2.1302) Prec@1 49.219 (52.308) Prec@5 71.875 (75.612)
Epoch: [98][9400/10010] Time 0.417 (0.401) Data 0.001 (0.001) Loss 2.3227 (2.1305) Prec@1 44.531 (52.308) Prec@5 76.562 (75.604)
Epoch: [98][9600/10010] Time 0.399 (0.401) Data 0.000 (0.001) Loss 2.3554 (2.1309) Prec@1 46.875 (52.295) Prec@5 70.312 (75.603)
Epoch: [98][9800/10010] Time 0.409 (0.401) Data 0.000 (0.001) Loss 2.0151 (2.1309) Prec@1 51.562 (52.293) Prec@5 80.469 (75.605)
Epoch: [98][10000/10010] Time 0.414 (0.401) Data 0.000 (0.001) Loss 2.5016 (2.1316) Prec@1 47.656 (52.281) Prec@5 71.094 (75.594)
Test: [0/391] Time 3.531 (3.531) Loss 0.8307 (0.8307) Prec@1 83.594 (83.594) Prec@5 95.312 (95.312)
Test: [200/391] Time 0.143 (0.261) Loss 2.2885 (1.5761) Prec@1 42.969 (61.077) Prec@5 72.656 (84.907)
* Prec@1 56.976 Prec@5 81.068 Loss@ 1.817
==>>[2018-06-30 05:11:51] [Epoch=099/150] [Need: 58:17:33] [learning_rate=None] [Best : Accuracy(T1/T5)=67.17/87.44, Error=32.83/12.56]
Epoch: [99][0/10010] Time 3.156 (3.156) Data 2.992 (2.992) Loss 2.1795 (2.1795) Prec@1 57.812 (57.812) Prec@5 74.219 (74.219)
Epoch: [99][200/10010] Time 0.414 (0.436) Data 0.000 (0.018) Loss 2.2243 (2.1152) Prec@1 49.219 (52.694) Prec@5 75.000 (75.906)
Epoch: [99][400/10010] Time 0.403 (0.418) Data 0.000 (0.009) Loss 1.8895 (2.1105) Prec@1 57.812 (52.739) Prec@5 77.344 (75.846)
Epoch: [99][600/10010] Time 0.426 (0.414) Data 0.000 (0.006) Loss 2.5316 (2.1092) Prec@1 39.844 (52.732) Prec@5 67.969 (75.892)
Epoch: [99][800/10010] Time 0.398 (0.412) Data 0.000 (0.005) Loss 1.8108 (2.1118) Prec@1 53.906 (52.655) Prec@5 84.375 (75.842)
Epoch: [99][1000/10010] Time 0.408 (0.410) Data 0.000 (0.004) Loss 2.1666 (2.1141) Prec@1 46.875 (52.643) Prec@5 75.781 (75.784)
Epoch: [99][1200/10010] Time 0.416 (0.412) Data 0.000 (0.003) Loss 2.0196 (2.1142) Prec@1 53.906 (52.613) Prec@5 78.906 (75.802)
Epoch: [99][1400/10010] Time 0.425 (0.412) Data 0.001 (0.003) Loss 1.8275 (2.1131) Prec@1 59.375 (52.599) Prec@5 78.125 (75.842)
Epoch: [99][1600/10010] Time 0.403 (0.412) Data 0.000 (0.003) Loss 2.3069 (2.1131) Prec@1 48.438 (52.580) Prec@5 73.438 (75.860)
Epoch: [99][1800/10010] Time 0.400 (0.411) Data 0.000 (0.002) Loss 1.8525 (2.1125) Prec@1 57.812 (52.593) Prec@5 75.781 (75.853)
Epoch: [99][2000/10010] Time 0.401 (0.410) Data 0.000 (0.002) Loss 1.7113 (2.1131) Prec@1 56.250 (52.539) Prec@5 82.812 (75.867)
Epoch: [99][2200/10010] Time 0.403 (0.409) Data 0.000 (0.002) Loss 2.3442 (2.1151) Prec@1 47.656 (52.497) Prec@5 70.312 (75.842)
Epoch: [99][2400/10010] Time 0.402 (0.408) Data 0.000 (0.002) Loss 2.3071 (2.1156) Prec@1 53.906 (52.535) Prec@5 71.875 (75.864)
Epoch: [99][2600/10010] Time 0.395 (0.408) Data 0.001 (0.002) Loss 1.9689 (2.1149) Prec@1 51.562 (52.558) Prec@5 78.906 (75.855)
Epoch: [99][2800/10010] Time 0.407 (0.407) Data 0.001 (0.002) Loss 2.1694 (2.1140) Prec@1 53.906 (52.579) Prec@5 74.219 (75.874)
Epoch: [99][3000/10010] Time 0.403 (0.406) Data 0.000 (0.002) Loss 1.9316 (2.1154) Prec@1 54.688 (52.528) Prec@5 78.906 (75.851)
Epoch: [99][3200/10010] Time 0.398 (0.406) Data 0.000 (0.002) Loss 2.1799 (2.1162) Prec@1 52.344 (52.539) Prec@5 69.531 (75.848)
Epoch: [99][3400/10010] Time 0.397 (0.406) Data 0.000 (0.002) Loss 2.3018 (2.1162) Prec@1 46.094 (52.540) Prec@5 76.562 (75.849)
Epoch: [99][3600/10010] Time 0.398 (0.405) Data 0.000 (0.001) Loss 2.2757 (2.1170) Prec@1 46.875 (52.528) Prec@5 73.438 (75.839)
Epoch: [99][3800/10010] Time 0.394 (0.405) Data 0.000 (0.001) Loss 2.2404 (2.1181) Prec@1 46.875 (52.497) Prec@5 74.219 (75.826)
Epoch: [99][4000/10010] Time 0.395 (0.405) Data 0.000 (0.001) Loss 2.1605 (2.1181) Prec@1 47.656 (52.496) Prec@5 78.125 (75.827)
Epoch: [99][4200/10010] Time 0.399 (0.404) Data 0.000 (0.001) Loss 2.1993 (2.1187) Prec@1 46.875 (52.483) Prec@5 78.125 (75.812)
Epoch: [99][4400/10010] Time 0.400 (0.404) Data 0.000 (0.001) Loss 2.1027 (2.1194) Prec@1 51.562 (52.476) Prec@5 78.125 (75.797)
Epoch: [99][4600/10010] Time 0.400 (0.404) Data 0.000 (0.001) Loss 1.6617 (2.1210) Prec@1 59.375 (52.446) Prec@5 82.031 (75.787)
Epoch: [99][4800/10010] Time 0.399 (0.404) Data 0.000 (0.001) Loss 2.1012 (2.1216) Prec@1 55.469 (52.437) Prec@5 77.344 (75.776)
Epoch: [99][5000/10010] Time 0.400 (0.403) Data 0.001 (0.001) Loss 2.0954 (2.1217) Prec@1 46.094 (52.447) Prec@5 80.469 (75.769)
Epoch: [99][5200/10010] Time 0.393 (0.403) Data 0.000 (0.001) Loss 1.9210 (2.1206) Prec@1 57.812 (52.471) Prec@5 79.688 (75.787)
Epoch: [99][5400/10010] Time 0.399 (0.403) Data 0.000 (0.001) Loss 2.2329 (2.1210) Prec@1 52.344 (52.466) Prec@5 75.000 (75.786)
Epoch: [99][5600/10010] Time 0.405 (0.403) Data 0.000 (0.001) Loss 1.8864 (2.1213) Prec@1 59.375 (52.446) Prec@5 78.125 (75.780)
Epoch: [99][5800/10010] Time 0.397 (0.403) Data 0.001 (0.001) Loss 2.2132 (2.1219) Prec@1 47.656 (52.428) Prec@5 76.562 (75.775)
Epoch: [99][6000/10010] Time 0.394 (0.403) Data 0.000 (0.001) Loss 1.8897 (2.1224) Prec@1 57.812 (52.420) Prec@5 79.688 (75.762)
Epoch: [99][6200/10010] Time 0.392 (0.402) Data 0.000 (0.001) Loss 2.2610 (2.1239) Prec@1 46.875 (52.391) Prec@5 72.656 (75.744)
Epoch: [99][6400/10010] Time 0.403 (0.402) Data 0.000 (0.001) Loss 2.4481 (2.1239) Prec@1 44.531 (52.400) Prec@5 70.312 (75.740)
Epoch: [99][6600/10010] Time 0.405 (0.402) Data 0.001 (0.001) Loss 1.9544 (2.1245) Prec@1 54.688 (52.387) Prec@5 81.250 (75.727)
Epoch: [99][6800/10010] Time 0.394 (0.402) Data 0.000 (0.001) Loss 2.2178 (2.1249) Prec@1 48.438 (52.376) Prec@5 72.656 (75.730)
Epoch: [99][7000/10010] Time 0.397 (0.402) Data 0.000 (0.001) Loss 2.1036 (2.1251) Prec@1 53.906 (52.370) Prec@5 74.219 (75.721)
Epoch: [99][7200/10010] Time 0.404 (0.402) Data 0.000 (0.001) Loss 2.2395 (2.1258) Prec@1 53.125 (52.361) Prec@5 75.000 (75.714)
Epoch: [99][7400/10010] Time 0.400 (0.402) Data 0.000 (0.001) Loss 2.2515 (2.1264) Prec@1 48.438 (52.348) Prec@5 71.875 (75.698)
Epoch: [99][7600/10010] Time 0.399 (0.402) Data 0.001 (0.001) Loss 2.2040 (2.1268) Prec@1 53.906 (52.340) Prec@5 71.875 (75.691)
Epoch: [99][7800/10010] Time 0.396 (0.402) Data 0.000 (0.001) Loss 1.9315 (2.1273) Prec@1 56.250 (52.341) Prec@5 78.125 (75.683)
Epoch: [99][8000/10010] Time 0.397 (0.402) Data 0.000 (0.001) Loss 1.7506 (2.1274) Prec@1 60.156 (52.334) Prec@5 83.594 (75.682)
Epoch: [99][8200/10010] Time 0.401 (0.402) Data 0.000 (0.001) Loss 2.2725 (2.1275) Prec@1 53.906 (52.344) Prec@5 73.438 (75.684)
Epoch: [99][8400/10010] Time 0.398 (0.401) Data 0.000 (0.001) Loss 2.1677 (2.1281) Prec@1 51.562 (52.336) Prec@5 72.656 (75.675)
Epoch: [99][8600/10010] Time 0.396 (0.401) Data 0.000 (0.001) Loss 2.1113 (2.1289) Prec@1 55.469 (52.320) Prec@5 79.688 (75.659)
Epoch: [99][8800/10010] Time 0.392 (0.401) Data 0.000 (0.001) Loss 2.3565 (2.1292) Prec@1 47.656 (52.309) Prec@5 68.750 (75.653)
Epoch: [99][9000/10010] Time 0.390 (0.401) Data 0.000 (0.001) Loss 1.9626 (2.1293) Prec@1 51.562 (52.304) Prec@5 75.781 (75.647)
Epoch: [99][9200/10010] Time 0.401 (0.401) Data 0.000 (0.001) Loss 2.2930 (2.1293) Prec@1 50.781 (52.306) Prec@5 71.875 (75.643)
Epoch: [99][9400/10010] Time 0.396 (0.401) Data 0.001 (0.001) Loss 2.0216 (2.1297) Prec@1 53.906 (52.302) Prec@5 73.438 (75.637)
Epoch: [99][9600/10010] Time 0.394 (0.401) Data 0.000 (0.001) Loss 1.9848 (2.1296) Prec@1 57.812 (52.306) Prec@5 80.469 (75.642)
Epoch: [99][9800/10010] Time 0.400 (0.401) Data 0.000 (0.001) Loss 2.3484 (2.1300) Prec@1 48.438 (52.289) Prec@5 71.875 (75.633)
Epoch: [99][10000/10010] Time 0.400 (0.401) Data 0.000 (0.001) Loss 1.8358 (2.1306) Prec@1 53.906 (52.276) Prec@5 76.562 (75.620)
Test: [0/391] Time 3.256 (3.256) Loss 1.0493 (1.0493) Prec@1 79.688 (79.688) Prec@5 91.406 (91.406)
Test: [200/391] Time 0.157 (0.253) Loss 2.3320 (1.5699) Prec@1 43.750 (60.988) Prec@5 72.656 (85.273)
* Prec@1 56.886 Prec@5 80.944 Loss@ 1.824
==>>[2018-06-30 06:20:20] [Epoch=100/150] [Need: 57:04:34] [learning_rate=None] [Best : Accuracy(T1/T5)=67.17/87.44, Error=32.83/12.56]
Epoch: [100][0/10010] Time 3.210 (3.210) Data 3.034 (3.034) Loss 1.9641 (1.9641) Prec@1 57.031 (57.031) Prec@5 81.250 (81.250)
Epoch: [100][200/10010] Time 0.402 (0.413) Data 0.000 (0.017) Loss 1.6600 (2.0032) Prec@1 60.156 (54.824) Prec@5 80.469 (77.421)
Epoch: [100][400/10010] Time 0.398 (0.406) Data 0.000 (0.009) Loss 1.9055 (1.9862) Prec@1 59.375 (55.297) Prec@5 79.688 (77.759)
Epoch: [100][600/10010] Time 0.399 (0.403) Data 0.001 (0.006) Loss 2.0143 (1.9703) Prec@1 53.906 (55.610) Prec@5 75.781 (77.990)
Epoch: [100][800/10010] Time 0.396 (0.402) Data 0.000 (0.005) Loss 1.9239 (1.9541) Prec@1 53.125 (56.046) Prec@5 78.125 (78.213)
Epoch: [100][1000/10010] Time 0.395 (0.401) Data 0.000 (0.004) Loss 2.1646 (1.9451) Prec@1 50.000 (56.284) Prec@5 70.312 (78.351)
Epoch: [100][1200/10010] Time 0.399 (0.401) Data 0.000 (0.003) Loss 2.2504 (1.9389) Prec@1 53.125 (56.456) Prec@5 74.219 (78.393)
Epoch: [100][1400/10010] Time 0.396 (0.401) Data 0.000 (0.003) Loss 1.9831 (1.9304) Prec@1 55.469 (56.604) Prec@5 78.906 (78.508)
Epoch: [100][1600/10010] Time 0.399 (0.400) Data 0.000 (0.003) Loss 2.2898 (1.9256) Prec@1 51.562 (56.720) Prec@5 68.750 (78.571)
Epoch: [100][1800/10010] Time 0.398 (0.400) Data 0.001 (0.002) Loss 1.9927 (1.9199) Prec@1 55.469 (56.786) Prec@5 79.688 (78.657)
Epoch: [100][2000/10010] Time 0.401 (0.400) Data 0.000 (0.002) Loss 1.6955 (1.9165) Prec@1 60.938 (56.859) Prec@5 80.469 (78.718)
Epoch: [100][2200/10010] Time 0.393 (0.400) Data 0.000 (0.002) Loss 1.8784 (1.9130) Prec@1 57.812 (56.905) Prec@5 79.688 (78.796)
Epoch: [100][2400/10010] Time 0.403 (0.400) Data 0.000 (0.002) Loss 1.7685 (1.9078) Prec@1 54.688 (57.000) Prec@5 81.250 (78.872)
Epoch: [100][2600/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 2.2106 (1.9039) Prec@1 50.000 (57.072) Prec@5 75.000 (78.923)
Epoch: [100][2800/10010] Time 0.402 (0.400) Data 0.000 (0.002) Loss 1.8770 (1.8990) Prec@1 54.688 (57.136) Prec@5 75.000 (79.008)
Epoch: [100][3000/10010] Time 0.395 (0.400) Data 0.000 (0.002) Loss 1.9128 (1.8955) Prec@1 57.031 (57.222) Prec@5 75.000 (79.059)
Epoch: [100][3200/10010] Time 0.396 (0.400) Data 0.000 (0.002) Loss 1.9776 (1.8937) Prec@1 53.125 (57.254) Prec@5 77.344 (79.078)
Epoch: [100][3400/10010] Time 0.398 (0.400) Data 0.001 (0.001) Loss 1.8603 (1.8911) Prec@1 53.906 (57.293) Prec@5 83.594 (79.119)
Epoch: [100][3600/10010] Time 0.412 (0.399) Data 0.000 (0.001) Loss 2.1207 (1.8888) Prec@1 45.312 (57.338) Prec@5 79.688 (79.149)
Epoch: [100][3800/10010] Time 0.395 (0.399) Data 0.000 (0.001) Loss 2.1326 (1.8871) Prec@1 51.562 (57.379) Prec@5 75.000 (79.185)
Epoch: [100][4000/10010] Time 0.394 (0.399) Data 0.000 (0.001) Loss 1.8136 (1.8831) Prec@1 59.375 (57.446) Prec@5 77.344 (79.244)
Epoch: [100][4200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.6149 (1.8805) Prec@1 63.281 (57.508) Prec@5 83.594 (79.284)
Epoch: [100][4400/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.9710 (1.8782) Prec@1 59.375 (57.554) Prec@5 82.031 (79.309)
Epoch: [100][4600/10010] Time 0.398 (0.399) Data 0.000 (0.001) Loss 1.6810 (1.8774) Prec@1 57.031 (57.581) Prec@5 82.031 (79.311)
Epoch: [100][4800/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.8737 (1.8752) Prec@1 57.812 (57.629) Prec@5 79.688 (79.337)
Epoch: [100][5000/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.5679 (1.8729) Prec@1 60.938 (57.667) Prec@5 84.375 (79.374)
Epoch: [100][5200/10010] Time 0.393 (0.399) Data 0.000 (0.001) Loss 1.7354 (1.8713) Prec@1 60.156 (57.694) Prec@5 84.375 (79.409)
Epoch: [100][5400/10010] Time 0.399 (0.399) Data 0.000 (0.001) Loss 1.6809 (1.8694) Prec@1 60.156 (57.723) Prec@5 82.812 (79.436)
Epoch: [100][5600/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.8542 (1.8682) Prec@1 62.500 (57.740) Prec@5 79.688 (79.448)
Epoch: [100][5800/10010] Time 0.403 (0.399) Data 0.000 (0.001) Loss 1.7936 (1.8660) Prec@1 59.375 (57.782) Prec@5 80.469 (79.481)
Epoch: [100][6000/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 1.3802 (1.8637) Prec@1 62.500 (57.821) Prec@5 85.938 (79.516)
Epoch: [100][6200/10010] Time 0.397 (0.399) Data 0.001 (0.001) Loss 1.8583 (1.8614) Prec@1 60.938 (57.866) Prec@5 82.031 (79.554)
Epoch: [100][6400/10010] Time 0.412 (0.399) Data 0.000 (0.001) Loss 1.6511 (1.8604) Prec@1 60.938 (57.888) Prec@5 78.906 (79.571)
Epoch: [100][6600/10010] Time 0.395 (0.399) Data 0.001 (0.001) Loss 1.7038 (1.8596) Prec@1 57.031 (57.902) Prec@5 81.250 (79.576)
Epoch: [100][6800/10010] Time 0.391 (0.399) Data 0.000 (0.001) Loss 1.9818 (1.8577) Prec@1 54.688 (57.930) Prec@5 82.812 (79.600)
Epoch: [100][7000/10010] Time 0.405 (0.399) Data 0.000 (0.001) Loss 2.1145 (1.8567) Prec@1 51.562 (57.959) Prec@5 78.906 (79.616)
Epoch: [100][7200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.6856 (1.8564) Prec@1 60.938 (57.960) Prec@5 83.594 (79.619)
Epoch: [100][7400/10010] Time 0.405 (0.399) Data 0.001 (0.001) Loss 1.8153 (1.8546) Prec@1 57.031 (57.988) Prec@5 78.906 (79.643)
Epoch: [100][7600/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 1.8529 (1.8529) Prec@1 62.500 (58.020) Prec@5 82.031 (79.667)
Epoch: [100][7800/10010] Time 0.396 (0.399) Data 0.000 (0.001) Loss 2.0056 (1.8523) Prec@1 58.594 (58.031) Prec@5 78.906 (79.680)
Epoch: [100][8000/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.6632 (1.8517) Prec@1 66.406 (58.043) Prec@5 81.250 (79.685)
Epoch: [100][8200/10010] Time 0.400 (0.399) Data 0.000 (0.001) Loss 1.9087 (1.8508) Prec@1 55.469 (58.061) Prec@5 79.688 (79.700)
Epoch: [100][8400/10010] Time 0.400 (0.399) Data 0.001 (0.001) Loss 1.7771 (1.8495) Prec@1 57.812 (58.078) Prec@5 82.812 (79.715)
Epoch: [100][8600/10010] Time 0.404 (0.399) Data 0.000 (0.001) Loss 1.6976 (1.8487) Prec@1 60.156 (58.096) Prec@5 82.812 (79.729)
Epoch: [100][8800/10010] Time 0.405 (0.400) Data 0.000 (0.001) Loss 1.9285 (1.8475) Prec@1 60.156 (58.121) Prec@5 78.125 (79.752)
Epoch: [100][9000/10010] Time 0.412 (0.400) Data 0.000 (0.001) Loss 1.8085 (1.8462) Prec@1 57.812 (58.142) Prec@5 78.906 (79.774)
Epoch: [100][9200/10010] Time 0.396 (0.400) Data 0.001 (0.001) Loss 1.6697 (1.8457) Prec@1 59.375 (58.158) Prec@5 80.469 (79.783)
Epoch: [100][9400/10010] Time 0.397 (0.400) Data 0.000 (0.001) Loss 1.6150 (1.8444) Prec@1 64.062 (58.186) Prec@5 81.250 (79.803)
Epoch: [100][9600/10010] Time 0.391 (0.400) Data 0.000 (0.001) Loss 2.0268 (1.8436) Prec@1 51.562 (58.203) Prec@5 76.562 (79.812)
Epoch: [100][9800/10010] Time 0.399 (0.400) Data 0.000 (0.001) Loss 1.9748 (1.8429) Prec@1 57.812 (58.225) Prec@5 74.219 (79.819)
Epoch: [100][10000/10010] Time 0.395 (0.400) Data 0.000 (0.001) Loss 1.4730 (1.8419) Prec@1 64.844 (58.246) Prec@5 82.812 (79.831)
Test: [0/391] Time 3.528 (3.528) Loss 0.7352 (0.7352) Prec@1 84.375 (84.375) Prec@5 94.531 (94.531)
Test: [200/391] Time 0.144 (0.253) Loss 1.7903 (1.2655) Prec@1 52.344 (68.560) Prec@5 79.688 (88.965)
* Prec@1 64.352 Prec@5 85.486 Loss@ 1.488
@Coderx7
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Coderx7 commented Jul 2, 2018

the training is not finished and this is only the result of a simple one time run with simple SGD without any hyperparameter tuning.
When everything is sorted out, I'll upload the best model to the main branch.

@Coderx7
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Coderx7 commented Dec 14, 2022 •
edited

After nearly 7 years, I could finally get my hands on a good gpu and train the model on imagenet and it performed extremely well.It achieves 71.14% top1 and outperforms resnet18 and mobilenet versions in terms of speed and acc. I'll be updating the repo with the models inshaallah.

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